I am kind of a multi-disciplinary engineer. I have tried to dive in some separate professions but I always saw the connection between them. And now, I am connecting the dots and creating a line. This line is full of engineering, software, and visual products. You can have more idea about what am I doing if you check the below parts.
I’m a Web Developer with 4+ years of professional experience in writing robust code, designing charming responsive user interfaces, and cutting edge web techs. Evaluates problems carefully and favors simple solutions trying to avoid redundant complexity. Always eager to learn cutting edge web technologies.
Civil Engineering is the my base field which I trained and educated myself. I have got my Bacholar's and Master of Science degree from Middle East Technical University. I was also a Research Assistant in the same university. My main focus was the autonomous robotics systems and the geotechnical engineering problems.
Producing or editing visual products is one of my lifetime hobbies. I have trained myself in Photography and Video Production. I have lots of experiences in editing videos and photographs. Moreover, I have a director certificate when I got after finishing a professional movie class.
I have some good experiences on TypeScript, JavaScript, PHP, HTML, CSS programming languages and ReactJs, React-Native, ElectronJS, Wordpress, Joomla, Bootstrap, Laravel frameworks. I have created some beautiful personal, community, company websites and mobile applications within the 10 years. I also develop professional web-based softwares to handle complicated problems. For now, in OPLOG, I am developing frontend of a WMS which is a large scale SaaS application with a scrum team. Establishing a modern and trending infrastructure. Techs: TypeScript, ReactJS, Redux, Jest-Enzyme, Cypress, Styled System (CSS-in-Props), Atomic Design.
This is the place that I educated myself mostly. I got my M.S. degree in Geotechnical Division in Civil Engineering. For the 2 years, I have tried to support my professors in their consultancy tasks. I can use software like MATLAB, SAP2000, AutoCAD, Slide, Phase2, Microsoft Project. Using these software and literature knowledge I can do structural analysis, numerical analysis, slope stability analysis, foundation design, FEM analysis, project management etc. In addition, I always try to handle complex operations using MATLAB scripts. My main focuses are geosynthetics, soil-tool interaction (M.S. thesis) and autonomous excavation systems. You can reach my academic research from here.
This is my best hobby and profession among others. Many years ago, I have started to take pictures of people and nature. Then, when I got a video camera, it becomes my best friend. I was addicted to the recording. After some time, I decided to educate myself. I have learned how to use Photoshop to manipulate photos and Premiere-After Effects to edit videos. I have also gone to directory certificate program and video production classes. I have some good knowledge about the shooting, frame, light, sound, editing, color corrections etc (watch my new product video: SahaGozu Product Reveal Video). Using this knowledge, I have joined some photo and short movie competitions.
İşçi Blokları Mh. 1505.Cd. No:43/29 Çankaya, Ankara, TURKEY
+90<PHONE_NUMBER>


Issue 4893
: CSS panel doesn't display contents of CSS file after reload
Steps to reproduce
Open Firebug
Switch to the
CSS
panel
Refresh the page by pressing F5.
Check out CSS panel content. It should display CSS rule for
body
.


<embed-page/>
<embed-page/> mimicks the window object in context of postMessage() API. See postMessage for details.
postMessage-app.html listens to "message" event and appends data to log matrix. It is served within IFRAME and two embed-page instances. The common load sequence is 1. postMessage-app.js listens for "message" event. 2. postMessage-app.js will send to opener message with own URL. 3. "message" event handler appends data to log table IFRAME 1-3. as in common part. 4. ?from=iframe added to page log matrix 5. Click here to post to IFRAME, observe appearance of ?from=demo inside of IFRAME log matrix embed-page - main 1-3. as in common part. 4. observe ?from=epa0 in page log matrix 5. Click here to post to epa, observe appearance of ?from=demo within epa log matrix embed-page - second 1-4. as in embed-page - main part. 5. Click here to post to epa, observe appearance of ?from=demo within epa log matrix


See: Description
| Interface | Description |
|---|---|
| CoreMap |
Base type for all annotatable core objects.
|
| Factory<T> |
A generified factory class which creates instances of a particular type.
|
| FileProcessor |
Interface for a Visitor pattern for Files.
|
| HasInterval<E extends java.lang.Comparable<E>> |
HasInterval interface
|
| Heap<E> |
Heap interface.
|
| Index<E> |
A collection that maps between a vocabulary of type E and a
continuous non-negative integer index series beginning (inclusively) at 0.
|
| Iterables.IncrementComparator<V1,V2> |
A comparator used by the merge functions to determine which of two
iterators to increment by one of the merge functions.
|
| PriorityQueue<E> |
A Set that also represents an ordering of its elements, and responds
quickly to
add() , changePriority() ,
removeFirst() , and getFirst() method calls. |
| Scored |
Scored: This is a simple interface that says that an object can answer
requests for the score, or goodness of the object.
|
| TypesafeMap |
Type signature for a class that supports the basic operations required
of a typesafe heterogeneous map.
|
| TypesafeMap.Key<VALUE> |
Base type of keys for the map.
|
| Class | Description |
|---|---|
| AbstractIterator<E> |
Iterator with
remove() defined to throw an
UnsupportedOperationException . |
| ArrayCoreMap |
Base implementation of
CoreMap backed by two Java arrays. |
| ArrayHeap<E> |
Implements a heap as an ArrayList.
|
| ArrayMap<K,V> |
Map backed by an Array.
|
| ArraySet<E> |
An array-backed set.
|
| ArrayStringFilter |
Filters Strings based on whether they exactly match any string in
the array it is initially constructed with.
|
| ArrayUtils |
Static utility methods for operating on arrays.
|
| Beam<T> |
Implements a finite beam, taking a comparator (default is
ScoredComparator.ASCENDING_COMPARATOR, the MAX object according to
the comparator is the one to be removed) and a beam size on
construction (default is 100).
|
| BinaryHeapPriorityQueue<E> |
PriorityQueue with explicit double priority values.
|
| ByteStreamGobbler |
Stream Gobbler that read and write bytes
(can be used to gobble byte based stdout from a process.exec into a file)
|
| CacheMap<K,V> |
A fixed size hash map with LRU replacement.
|
| CallbackFunction |
A callback function (along the lines of Berkeley optimization repo), which is currently used in the optimization package.
|
| CollectionFactory<T> |
Factory for vending Collections.
|
| CollectionFactory.ArrayListFactory<T> | |
| CollectionFactory.HashSetFactory<T> | |
| CollectionFactory.LinkedListFactory<T> | |
| CollectionFactory.SizedArrayListFactory<T> | |
| CollectionFactory.TreeSetFactory<T> | |
| CollectionUtils |
Collection of useful static methods for working with Collections.
|
| CollectionValuedMap<K,V> |
Map from keys to
Collection s. |
| Comparators | |
| ConcatenationIterator<T> |
Iterator that represents the concatenation of two other iterators.
|
| ConfusionMatrix<U> |
This implements a confusion table over arbitrary types of class labels.
|
| DataFilePaths |
Simple utility class: reads the environment variable in
ENV_VARIABLE and provides a method that converts strings which
start with that environment variable to file paths.
|
| DeltaCollectionValuedMap<K,V> |
Implementation of CollectionValuedMap that appears to store an "original"
map and changes to that map.
|
| DeltaIndex<E> |
A class that has a backing index, such as a hash index you don't
want changed, and another index which will hold extra entries that
get added during the life of the index.
|
| DeltaMap<K,V> |
A Map which wraps an original Map, and only stores the changes (deltas) from
the original Map.
|
| DisabledPreferences |
A do-nothing Preferences implementation so that we can avoid the hassles
of the JVM Preference implementations.
|
| DisabledPreferencesFactory |
Returns do-nothing Preferences implementation.
|
| ErasureUtils |
Class to gather unsafe operations into one place.
|
| Execution |
A class to set command line options.
|
| Execution.LazyFileIterator |
A lazy iterator over files, not loading all of them into memory at once.
|
| FilePathProcessor |
The
FilePathProcessor traverses a directory structure and
applies the processFile method to files meeting some
criterion. |
| FilteredIterator<T> |
Iterator that suppresses items in another iterator based on a filter function.
|
| Filters |
Static class with some useful
Predicate implementations and utility methods for working
with Predicates . |
| Filters.ConjFilter<T> |
Conjunction of a list of filters.
|
| Filters.DisjFilter<T> |
Disjunction of a list of filters.
|
| Filters.RandomFilter<E> |
A filter that accepts a random fraction of the input it sees.
|
| FixedPrioritiesPriorityQueue<E> |
A priority queue based on a binary heap.
|
| Generics |
A collection of utilities to make dealing with Java generics less
painful and verbose.
|
| HashableCoreMap |
An extension of
ArrayCoreMap with an immutable set of key,value
pairs that is used for equality and hashcode comparisons. |
| HashIndex<E> |
Implements an Index that supports constant-time lookup in
both directions (via
get(int) and indexOf(E) . |
| IdentityHashSet<E> |
This class provides a
IdentityHashMap -backed
implementation of the Set interface. |
| Interner<T> |
For interning (canonicalizing) things.
|
| Interval<E extends java.lang.Comparable<E>> |
Represents a interval of a generic type E that is comparable.
|
| IntervalTree<E extends java.lang.Comparable<E>,T extends HasInterval<E>> |
An interval tree maintains a tree so that all intervals to the left start
before current interval and all intervals to the right start after.
|
| IntervalTree.TreeNode<E extends java.lang.Comparable<E>,T extends HasInterval<E>> | |
| IntPair | |
| IntQuadruple | |
| IntTriple | |
| IntTuple |
A tuple of int.
|
| IntUni |
Just a single integer
|
| IterableIterator<E> |
This cures a pet peeve of mine: that you can't use an Iterator directly in
Java 5's foreach construct.
|
| Iterables |
Utilities for helping out with Iterables as Collections is to Collection.
|
| Lazy<E> |
An instantiation of a lazy object.
|
| MapFactory<K,V> |
A factory class for vending different sorts of Maps.
|
| Maps |
Utilities for Maps, including inverting, composing, and support for list/set values.
|
| MetaClass |
A meta class using Java's reflection library.
|
| MetaClass.ClassFactory<T> | |
| MutableDouble |
A class for Double objects that you can change.
|
| MutableInteger |
A class for Integer objects that you can change.
|
| Pair<T1,T2> |
Pair is a Class for holding mutable pairs of objects.
|
| Pair.ByFirstPairComparator<T1,T2> |
Compares a
Pair to another Pair according to the first object of the pair only
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException |
| Pair.ByFirstReversePairComparator<T1,T2> |
Compares a
Pair to another Pair according to the first object of the pair only in decreasing order
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException |
| Pair.BySecondPairComparator<T1,T2> |
Compares a
Pair to another Pair according to the second object of the pair only
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException |
| Pair.BySecondReversePairComparator<T1,T2> |
Compares a
Pair to another Pair according to the second object of the pair only in decreasing order
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException |
| PropertiesUtils |
Utilities methods for standard (but woeful) Java Properties objects.
|
| PropertiesUtils.Property | |
| ReflectionLoading |
The goal of this class is to make it easier to load stuff by
reflection.
|
| RegexStringFilter |
Filters Strings based on whether they match a given regex.
|
| ScoredComparator |
ScoredComparator allows one to compare Scored things.
|
| ScoredObject<T> |
Wrapper class for holding a scored object.
|
| Sets |
Utilities for sets.
|
| StreamGobbler |
Reads the output of a process started by Process.exec()
Adapted from:
http://www.velocityreviews.com/forums/t130884-process-runtimeexec-causes-subprocess-hang.html
|
| StringParsingTask<E> |
An instantiation of this abstract class parses a
String and
returns an object of type E . |
| StringUtils |
StringUtils is a class for random String things, including output formatting and command line argument parsing.
|
| ThreeDimensionalMap<K1,K2,K3,V> | |
| Timing |
A class for measuring how long things take.
|
| TreeShapedStack<T> |
Represents a stack where one prefix of the stack can branch in
several directions.
|
| Triple<T1,T2,T3> |
Class representing an ordered triple of objects, possibly typed.
|
| TwoDimensionalCollectionValuedMap<K1,K2,V> |
A class which can store mappings from Object keys to
Collection s of Object values. |
| TwoDimensionalMap<K1,K2,V> | |
| TwoDimensionalMap.Entry<K1,K2,V> |
This inner class represents a single entry in the TwoDimensionalMap.
|
| TwoDimensionalSet<K1,K2> |
Wrap a TwoDimensionalMap as a TwoDimensionalSet.
|
| UTF8EquivalenceFunction |
A word function that can be applied to Chinese text in the tagger
or similar systems to make it treat ( and （ the same.
|
| ValuedInterval<T,E extends java.lang.Comparable<E>> |
Interval with value
|
| XMLUtils |
Provides some utilities for dealing with XML files, both by properly
parsing them and by using the methods of a desperate Perl hacker.
|
| XMLUtils.XMLTag |
| Enum | Description |
|---|---|
| ArrayStringFilter.Mode | |
| Interval.RelType |
RelType gives the basic types of relations between two intervals
|
| Exception | Description |
|---|---|
| HashableCoreMap.HashableCoreMapException |
An exception thrown when attempting to change the value associated
with an (immutable) hash key in a HashableCoreMap.
|
| MetaClass.ClassCreationException | |
| MetaClass.ConstructorNotFoundException | |
| ReflectionLoading.ReflectionLoadingException |
This class encapsulates all of the exceptions that can be thrown
when loading something by reflection.
|
| RuntimeInterruptedException |
An unchecked version of
InterruptedException . |
| StringParsingTask.ParserException |
| Annotation Type | Description |
|---|---|
| Execution.Option |
A collection of useful general-purpose utility classes. Below is a selection of some of the most useful utility classes. Consult the class comments for more details on any of these classes.
Filters
: Defines general useful Predicate
and utility functions for dealing with predicates.Index
: List that also maintains a constant-time reverse-lookup of indices for its
Objects.StringUtils
: Static class with lots of useful String manipulation and formatting
methods.Timing
: Static class for measuring how long something takes to execute.Other packages with some useful utilies
edu.stanford.nlp.io
edu.stanford.nlp.process
edu.stanford.nlp.stats
edu.stanford.nlp.swing
edu.stanford.nlp.web


Description
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Whenever I read material on-line, one of the first things I want to know are the tastes and style of the author. So with that in mind, here are mine.
Firstly, I’m a computer scientist and engineer, with an amateur love of mathematics.
With regards to the domain of ML, I currently believe in the following general principles and approaches:
- Use probability. Use statistical ideas. Be principled. Leverage centuries of research. But also: understand the assumptions behind many results created before the availability of powerful computers and software. Most data isn’t linear, or drawn from independent identical distributions, or normal, etc. Even when these assumptions don’t hold, the results can still work or aid understanding.
- Appreciate the “curse of dimensionality”. High dimensional space is basically void of data; distance metrics in feature space can be unintuitive or misleading, or say more about the metric than the data; results from algorithms should not change if measurement units are altered; the volume of hyper-spheres contain a vanishing fraction of bounding hyper-cube volume; etc.
- Models such as Artificial Neural Networks and Kernel-based density estimators are general-purpose parameterised functions which make minimal assumptions about the data. Implicitly they do make assumptions of course, but the hope is that these structural constraints are either harmless or desired. Any inspiration from or analogy with brain function is of minor historical interest only.
- Use fast (not first order) and mathematically motivated optimisation algorithms such as BFGS. In particular, don’t use slow (first order) algorithms as an implicit way to try to prevent overfitting. Algorithms or models which use an initial random element (parameters or weights or subsets of data etc) should be run multiple times using ideas like cross-validation, regularisation, “bagging”, etc to minimise any variation effects caused by that random seeding. Basically, always try to measure and explicitly deal with this source of variation.
- Publish reproducible results. I’ve spent the last 20 years using Python for commercial software development, so that will continue to be my go-to tool. Unsurprisingly, Jupyter notebooks will feature too.
- Make honest assessments using both real datasets (publically available) and artificial pedagogical datasets created with specific and known characteristics.
As this blog evolves, I will try hard to adhere to my own principles!
I’m primarily interested in the subset of Machine Learning which is about deciding (and explaining) the category of a datapoint. Examples abound, such as reject or accept a loan application, diagnose a disease, forecast road traffic, or decide the optimal time to plant, subsequently manage, then harvest and clean a crop. I will generally avoid the added complexities of dealing with large quantities of time-series or image data.


Don't go near to people with COVID-19, stay home, wear a mask when going outside and always pray for your safety.


This tool will convert all Endevo GOOP3 and OpenGOOP classes to G# or upgrade all G# classes to the latest template version. All classes in the active project will be updated.
The following steps are performed:
1. The active project classes are analyzed.
2. The project is closed and a new temporary project is created.
3. Dummy G# classes (with same name as the classes) are created in the temporary project.
4. The original classes utility methods are replaced with the new G# specific utility methods from the temporary project classes.
5. The orignal classes .lvclass file is updated with G# tags.
6. Mass compile of the original classes.
7. Open the original project.
8. Replace all utility methods that are missing with G#Object support methods copied from the temporary classes.
9. Done!
Notice that this process could take several minutes.
|
Convert Start convert. |
|
Cancel Cancel. |
|
Mass compile (recommended) If true, the updated classes are mass compiled before the original project is opened again. However, LabVIEW sometimes has problems compiling complicated code with looks of changes, therefore it might be necessary to manually open each class to recompile in a specific order. |
|
Create temporary classes A temporary project must always be created in order to convert the classes, however if this already has been performed previously (if the converter was terminated in a later step), this could be skipped. Notice that the last temporary project is always overwritten. |
|
Help Help. |
|
State Indicates what the class converter is doing. |
|
Class # Index of the processing class. |
|
Total Total number of classes to process. |
|
Class Name Name of the class currently being processed. |


We envision to bring delicious Pizza at a fair price.
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Find what you want here
| pizza-Size | pizza-Crust | Topping | Total Cost |
|---|---|---|---|
OUR delivery chargeable is sh. 100
NOTE: For you to add another Pizza on chart click Reset button, select then add!!


Equality
The source code for this module: PartI/Equality.ard
The source code for the exercises: PartI/EqualityEx.ard
In the previous modules we treated the identity type = in a rather hand-wavy manner as in most of the cases we needed just reflexivity idp {A : \Type} {a : A} : a = a. Here we will get into details of the definition of the identity type and explain some key aspects of it, which will be important for writing more advanced proofs. Along the way we introduce the interval type I, whose properties are essentially determined by the function coe, playing the role of eliminator for I. In order to clarify this we briefly recall the general concept of eliminator.
Symmetry, transitivity, Leibniz principle
First of all, we show that the identity type satisfies some basic properties of equality: it is an equivalence relation and it satisfies the Leibniz principle.
The Leibniz principle says that if a and a’ satisfy the same properties, then they are equal. It can be easily proven that = satisfies this principle:
\func Leibniz {A : \Type} {a a' : A}
(f : \Pi (P : A -> \Type) -> \Sigma (P a -> P a') (P a' -> P a)) : a = a'
=> (f (\lam x => a = x)).1 idp
The inverse Leibniz principle (which we will call merely Leibniz principle as well) says that if a = a’, then a and a’ satisfy the same properties, that is if P a is true, then P a’ is true. The proof of this is easy, but requires some constructs that will be introduced very shortly further in this module:
\func transport {A : \Type} (B : A -> \Type) {a a' : A} (p : a = a') (b : B a) : B a'
=> coe (\lam i => B (p @ i)) b right
Using this latter Leibniz principle, it is easy to prove that = satisfies (almost) all the properties of equality. For example, the following properties:
-- symmetry
\func inv {A : \Type} {a a' : A} (p : a = a') : a' = a
=> transport (\lam x => x = a) p idp
-- transitivity
\func trans {A : \Type} {a a' a'' : A} (p : a = a') (q : a' = a'') : a = a''
=> transport (\lam x => a = x) q p
-- congruence
\func pmap {A B : \Type} (f : A -> B) {a a' : A} (p : a = a') : f a = f a'
=> transport (\lam x => f a = f x) p idp
Exercise 1: Define congruence for functions with two arguments via transport. It is allowed to use any functions defined via transport.
Exercise 2: Prove that transport can be defined via pmap and repl and vice versa. The function repl says that if two types are equal then there exists a function between them.
Definition of =
The central ingredient of the definition of the identity type is the interval type I contained in Prelude. The type I looks like a two-element data type with constructors left and right, but actually it is not: these constructors are made equal (by means of coe). Of course, pattern matching on I is prohibited since it can be used to derive Empty = Unit.
The equality left = right implies that some a : A and a’ : A are equal if and only if there exists a function f : I -> A such that f left ==> a and f right ==> a’ (where ==> denotes computational equality). The type a = {A} a’ is defined simply as the type of all functions f : I -> A satisfying this property. The constructor path (f : I -> A) : f left = f right allows to construct equality proofs out of such functions and the function @ (p : a = a’) (i : I) : A does the inverse operation:
path f @ i ==> f i -- beta-equivalence
path (\lam i => p @ i) ==> p -- eta-equivalence
In order to prove reflexivity idp we can simply take the constant function \lam _ => a : I -> A:
\func idp {A : \Type} {a : A} : a = a => path (\lam _ => a)
Exercise 3: Prove that left = right without using transport or coe.
If f : A -> B and g : I -> A, then g determines a proof of the equality g left = g right and the congruence pmap can be interpreted as simply the composition of f and g. This observation suggests an alternative definition of pmap:
\func pmap {A B : \Type} (f : A -> B) {a a' : A} (p : a = a') : f a = f a'
=> path (\lam i => f (p @ i))
This definition of pmap behaves better than others with respect to computational properties. For example, pmap id is computationally the same as id and pmap (f . g) is computationally the same as pmap f . pmap g, where (.) is the composition:
\func pmap-idp {A : \Type} {a a' : A} (p : a = a') : pmap {A} (\lam x => x) p = p
=> idp
Exercise 4: Prove that a = {A} a’ and b = {B} b’ implies (a,b) = {\Sigma A B} (a’,b’) without using transport.
Exercise 5: Prove that p = {\Sigma (x : A) (B x)} p’ implies p.1 = {A} p’.1 without using transport.
Functional extensionality
Function extensionality is a principle saying that if two functions f and g are equal pointwise, then they are equal functions. Our definition of equality allows us to prove this principle very easily:
\func funExt {A : \Type} (B : A -> \Type) {f g : \Pi (a : A) -> B a}
(p : \Pi (a : A) -> f a = g a) : f = g
=> path (\lam i => \lam a => p a @ i)
This useful principle is unprovable in many other intensional dependently typed theories. In such theories function extensionality can be introduced as an axiom, that is as a function without implementation, however adding new axioms worsens computational properties of the theory. For example, if we add the axiom of excluded middle lem, then we can define a constant ugly_num : Nat that does not evaluate to any concrete natural number:
\func lem : \Pi (X : \Type) -> Either X (X -> Empty) => {?}
\func ugly_num : Nat => \case lem Nat \with { | Left => 0 | Right => 1 }
Exercise 6: Prove that (\lam x => not (not x)) = (\lam x => x).
Eliminators
Elimination principles for a data type D specify what kind of data should be provided in order to define a function from D to a non-dependent or dependent type. And, essentially, these principles say that it is enough to show how “generators” (that is constructors) of D are mapped to a type A and that that would uniquely determine a function D -> A. For example, eliminators for Nat and Bool:
-- Dependent eliminator for Nat (induction).
\func Nat-elim (P : Nat -> \Type)
(z : P zero)
(s : \Pi (n : Nat) -> P n -> P (suc n))
(x : Nat) : P x \elim x
| zero => z
| suc n => s n (Nat-elim P z s n)
-- Non-dependent eliminator for Nat (recursion).
\func Nat-rec (P : \Type)
(z : P)
(s : Nat -> P -> P)
(x : Nat) : P \elim x
| zero => z
| suc n => s n (Nat-rec P z s n)
-- Dependent eliminator for Bool (recursor for Bool is just 'if').
\func Bool-elim (P : Bool -> \Type)
(t : P true)
(f : P false)
(x : Bool) : P x \elim x
| true => t
| false => f
Exercise 7: Define factorial via Nat-rec (i.e., without recursion and pattern matching).
Exercise 8: Prove associativity of Nat.+ via Nat-elim (i.e., without recursion and pattern matching).
Exercise 9: Define recursor and eliminator for \data D | con1 Nat | con2 D D | con3 (Nat -> D).
Exercise 10: Define recursor and eliminator for List.
The function coe thus defines dependent eliminator for I, it says that in order to define f : \Pi (i : I) -> P i for some P : I -> \Type it is enough to specify f left:
\func coe (P : I -> \Type)
(a : P left)
(i : I) : P i \elim i
| left => a
Exercise 11: We defined transport via coe. It is possible to define a special case of coe via transport. Define coe0 (A : I -> \Type) (a : A left) : A right via transport. Is it possible to define transport via coe0?
Exercise 12: Define a function B right -> B left.
left = right
With the use of the function coe, we now prove that I has one element:
\func left=i (i : I) : left = i
-- | left => idp
=> coe (\lam i => left = i) idp i
-- In particular left = right.
\func left=right : left = right => left=i right
coe and transport
Functions coe and transport are closely related. Recall the definition of transport given earlier in this module:
\func transport {A : \Type} (B : A -> \Type) {a a' : A} (p : a = a') (b : B a) : B a'
=> coe (\lam i => B (p @ i)) b right
Denote \lam i => B (p @ i) as B’. Then B’ : I -> \Type, B’ left ==> B a, B’ right ==> B a’ and \lam x => coe B’ x right : B’ left -> B’ right.
Proofs of non-equalities
In order to prove that true is not equal to false it is enough to define a function T : Bool -> \Type such that T true is the unit type and T false is the empty type. Then the contradiction can be easily derived from true = false by means of transport:
\func true/=false (p : true = false) : Empty => transport T p unit
Note that it is not possible to prove that left is not equal to right since such T cannot be defined neither recursively nor inductively:
-- This function does not typecheck!
\func TI (b : I)
| left => \Sigma
| right => Empty
Exercise 13: Prove that 0 does not equal to suc x.
Exercise 14: Prove that fac does not equal to suc.


Peachpie is a modern compiler and runtime of PHP for .NET and .NET Core,
built on top of Roslyn. It aims to be fully compatible with the PHP language, including PHP 7.1 and any newly released versions.
Project Goals
- Increased performance: Peachpie's extensive type analysis and the influence of Microsoft Roslyn should provide an improved performance of PHP applications and components.
- Security: since programs run within the standardized and manageable .NET or .NET Core environment, the code is fully verifiable without any unsafe constructs.
- Cross-platform development: the project compiles legacy PHP code into portable class libraries, enabling developers to build cross-platform apps and libraries for Microsoft platforms.
- Full .NET compatibility: compiled programs run on the reimplemented Peachpie runtime, fully compatibly with the PHP runtime.
- Both-way interoperability: the project allows for hybrid applications, where parts are written in C# and others in PHP. The parts will be entirely compatible and can communicate seamlessly, all within the .NET framework.
Project Details
Quicklinks


The KMT been left behind, but now you must deal with IJA (Japanese forces) whom are out to kill any Chinese person they meet!
You will need to run through waves of IJA baddies to make it to the next checkpoint, or you can just click a certain button to progress.


The best performance improvement is the transition from the nonworking state to the working state. --John Ousterhout [source]


--- layout: default title: Release notes permalink: /api/ redirect_from: - /api.html sitemap: priority: 0.4 lastmod: 2014-02-17T00:00:00-00:00 ---


| Overview | Directory | Categories | Index | Search | File | Source | Help | Etc | Developer documentation |
The following information is provides documentation in interpreting the results of the output of IDLdoc. For documentation on marking up IDL code to better use IDLdoc's capabilities, see the developer's help or the advanced developer's help.
The file summary includes a the class hierarchy diagram for files with names ending in __define, a list of various attributes of the file, and a description.
If the filename of PRO file ends in __define, then the fields defined in the routine of the same name are listed with their type and any comments provided by the developer. Following this listing are separate listings for each parent class of the class/structure with a list of their fields with types.
The routine summary simply provides the calling sequence for each routine in the file (in the same syntax is the online help for IDL) and the first sentence of the detailed description for each routine in the file.
The routine details sections gives a possibly longer description of the routine as well as a tables of the parameters and keywords accepted by the routine. Also listed are various attributes of the routine.
All the parameters and keywords of the routine will be in these tables regardless if they have been commented using IDLdoc (though the developer can hide parameters and keywords if they chose).
A routine can be marked with various attributes described in the below table.
| Attribute | Description |
|---|---|
abstract |
The routine name will be italicized if the routine is marked "abstract" (meaning it is not implemented, it is provided for its interface only). This is generally used in only object-oriented programming. |
private |
This routine is not intended to be called except by other routines in the same file. In other words it is a "helper routine". Private routines are only seen if the library is IDLdoc'ed in "developer" mode. |
obsolete |
This routine is no longer supported by the library maintainer. |
categories |
The names of any categories for the routine are listed. |
A parameter or keyword can be marked with various attributes described in the below table.
| Attribute | Description |
|---|---|
| in | Indicates that the argument is intended to be passed into the routine. |
| out | Indicates that the argument is intended to be used to pass a value out of the routine. A named variable must be passed to the routine to pass a value back to the calling level. |
| optional | This attribute indicates the argument is optional; optional parameters and keywords are also placed inside brackets ([]) in the routine summary. |
| required | Indicates the argument is required |
| type | Type indicates the IDL type of the variable. Can be used indicate a group of types, a specific type, an array of a certain type, etc. Boolean keywords are indicated by a /KEYWORD_NAME in the routine summary. |
| default | Default indicates the default value for an optional parameter or keyword. |
| private | This parameter is not intended to be used in calls except by other routines in the same file. Private parameters are only seen if the library is IDLdoc'ed in "developer" mode. |


Package main
Class App
java.lang.Object
main.App
public class App
extends java.lang.Object
Controls both the UI and database sides by allowing them to interact in order complete certain tasks
-
Nested Class Summary
Nested Classes Modifier and Type Class Description static class
App.MenuOption
Enum with all the menu options to show the user -
Field Summary
Fields Modifier and Type Field Description private java.util.HashMap<App.MenuOption,DbWorker>
__dbMethods
HashMap
with the menu option to class methods mapping.private static App
__instance
Main app instance -
Constructor Summary
Constructors Modifier Constructor Description private
App()
Main app method. -
Method Summary
Modifier and Type Method Description private void
adicionarColaborador()
Adds a colaborator.private void
alterarProgramaVoluntario()
Alter volunteer program.private void
apresentarColaboradores()
Shows all colaborators.private void
apresentarContactos()
Shows all contacts.private void
apresentarVoluntariosUltimosAnos()
Shows the volunteers with age under 30 and that have been in a program in the last 3 yearsDatabase.apresentarVoluntariosUltimosAnos()
private void
cancelarProgramaCurtaDuracao()
Cancels a future program.private static App
getInstance()
Get or create a app instancestatic void
main(java.lang.String[] args)
Main application entry pointprivate void
Run()
Runs the application.private java.lang.String
selecionarPrograma(java.util.ArrayList<PROGRAMA> programas)
Asks the user to select a program.private boolean
testDatabase()
Tests the connection to the database.
-
Field Details
-
__instance
Main app instance -
__dbMethods
HashMap
with the menu option to class methods mapping.
-
-
Constructor Details
-
App
private App()Main app method. Maps menu options to the corresponding class methods and adds them to aHashMap
-
-
Method Details
-
getInstance
Get or create a app instance- Returns:
- A
App
-
main
public static void main(java.lang.String[] args)Main application entry point- Parameters:
args
- App arguments if given
-
Run
private void Run()Runs the application. Shows aUI.WELCOME_TEXT
welcome text and tests the connection to the database. It then starts a loop for the main menu where the menu is displayed to the user and then input is awaited. If the input is valid the corresponding menu option method is called. If the input is aApp.MenuOption.Exit
menu option for exit then the program terminates. -
testDatabase
private boolean testDatabase()Tests the connection to the database. Also shows some connection information if it is valid.- Returns:
Boolean
indicating if the database connection is valid
-
adicionarColaborador
private void adicionarColaborador()Adds a colaborator. Asks: - If the colaborator receives a paycheck or is a volunteer. - All the colaborator information - The paycheck colaborator or volunteer information - All the normal or emergency contacts - The insurance informationDatabase.adicionarColaborador(COLABORADOR, SEGURO, VOLUNTARIO, ASSALARIADO, ArrayList, ArrayList)
-
selecionarPrograma
Asks the user to select a program. Displays a multiple choice menu with all the programs and waits for input.- Parameters:
programas
- AArrayList
ofPROGRAMA
models- Returns:
String
with the program ID selected
-
alterarProgramaVoluntario
private void alterarProgramaVoluntario()Alter volunteer program. Asks for the volunteer identification number and the new program.Database.alterarProgramaVoluntario(String, String)
-
cancelarProgramaCurtaDuracao
private void cancelarProgramaCurtaDuracao()Cancels a future program. Asks for the program to cancel.Database.cancelarProgramaCurtaDuracao(String)
-
apresentarContactos
private void apresentarContactos()Shows all contacts. Asks type of contact (normal or emergency), time filter (last 6 months or 1 year) and contact filter to show (email, phone or both).Database.apresentarContactos(String, String, String)
-
apresentarColaboradores
private void apresentarColaboradores()Shows all colaborators. Either people with paycheck or volunteers. Asks for the colaborator type.Database.apresentarColaboradores(String)
-
apresentarVoluntariosUltimosAnos
private void apresentarVoluntariosUltimosAnos()Shows the volunteers with age under 30 and that have been in a program in the last 3 yearsDatabase.apresentarVoluntariosUltimosAnos()
-


- Deals
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Georgette Button Front Tunic
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1 Samuel 9:3
And the asses of Kish Saul's father were lost. And Kish said to Saul his son, Take now one of the servants with thee, and arise, go seek the asses.


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
market-model pathwise caplet More...
#include <ql/models/marketmodels/products/pathwise/pathwiseproductcaplet.hpp>
Public Member Functions | |
| MarketModelPathwiseMultiCaplet (const std::vector< Time > &rateTimes, const std::vector< Real > &accruals, const std::vector< Time > &paymentTimes, const std::vector< Rate > &strikes) | |
| ~MarketModelPathwiseMultiCaplet () override=default | |
| std::vector< Size > | suggestedNumeraires () const override |
| const EvolutionDescription & | evolution () const override |
| std::vector< Time > | possibleCashFlowTimes () const override |
| Size | numberOfProducts () const override |
| Size | maxNumberOfCashFlowsPerProductPerStep () const override |
| bool | alreadyDeflated () const override |
| void | reset () override |
| during simulation put product at start of path More... | |
| bool | nextTimeStep (const CurveState ¤tState, std::vector< Size > &numberCashFlowsThisStep, std::vector< std::vector< MarketModelPathwiseMultiProduct::CashFlow > > &cashFlowsGenerated) override |
| return value indicates whether path is finished, TRUE means done More... | |
| std::unique_ptr< MarketModelPathwiseMultiProduct > | clone () const override |
| returns a newly-allocated copy of itself More... | |
| Public Member Functions inherited from MarketModelPathwiseMultiProduct | |
| virtual | ~MarketModelPathwiseMultiProduct ()=default |
| virtual std::vector< Size > | suggestedNumeraires () const =0 |
| virtual const EvolutionDescription & | evolution () const =0 |
| virtual std::vector< Time > | possibleCashFlowTimes () const =0 |
| virtual Size | numberOfProducts () const =0 |
| virtual Size | maxNumberOfCashFlowsPerProductPerStep () const =0 |
| virtual bool | alreadyDeflated () const =0 |
| virtual void | reset ()=0 |
| during simulation put product at start of path More... | |
| virtual bool | nextTimeStep (const CurveState ¤tState, std::vector< Size > &numberCashFlowsThisStep, std::vector< std::vector< MarketModelPathwiseMultiProduct::CashFlow > > &cashFlowsGenerated)=0 |
| return value indicates whether path is finished, TRUE means done More... | |
| virtual std::unique_ptr< MarketModelPathwiseMultiProduct > | clone () const =0 |
| returns a newly-allocated copy of itself More... | |
Private Attributes | |
| std::vector< Real > | rateTimes_ |
| std::vector< Real > | accruals_ |
| std::vector< Time > | paymentTimes_ |
| std::vector< Rate > | strikes_ |
| Size | numberRates_ |
| Size | currentIndex_ |
| EvolutionDescription | evolution_ |
market-model pathwise caplet
implementation of path wise methodology for caplets, essentially a test class since we have better ways of computing Greeks of caplets
used in MarketModelTest::testPathwiseVegas and MarketModelTest::testPathwiseGreeks
Definition at line 44 of file pathwiseproductcaplet.hpp.
| MarketModelPathwiseMultiCaplet | ( | const std::vector< Time > & | rateTimes, |
| const std::vector< Real > & | accruals, | ||
| const std::vector< Time > & | paymentTimes, | ||
| const std::vector< Rate > & | strikes | ||
| ) |
|
overridedefault |
|
overridevirtual |
Implements MarketModelPathwiseMultiProduct.
Definition at line 100 of file pathwiseproductcaplet.cpp.
|
overridevirtual |
Implements MarketModelPathwiseMultiProduct.
Definition at line 109 of file pathwiseproductcaplet.cpp.
|
overridevirtual |
Implements MarketModelPathwiseMultiProduct.
Definition at line 114 of file pathwiseproductcaplet.cpp.
|
overridevirtual |
Implements MarketModelPathwiseMultiProduct.
Definition at line 119 of file pathwiseproductcaplet.cpp.
|
overridevirtual |
Implements MarketModelPathwiseMultiProduct.
Definition at line 124 of file pathwiseproductcaplet.cpp.
|
overridevirtual |
Implements MarketModelPathwiseMultiProduct.
Definition at line 29 of file pathwiseproductcaplet.cpp.
|
overridevirtual |
during simulation put product at start of path
Implements MarketModelPathwiseMultiProduct.
Definition at line 130 of file pathwiseproductcaplet.cpp.
|
overridevirtual |
return value indicates whether path is finished, TRUE means done
Implements MarketModelPathwiseMultiProduct.
Definition at line 69 of file pathwiseproductcaplet.cpp.
|
overridevirtual |
returns a newly-allocated copy of itself
Implements MarketModelPathwiseMultiProduct.
Definition at line 95 of file pathwiseproductcaplet.cpp.
|
private |
Definition at line 80 of file pathwiseproductcaplet.hpp.
|
private |
Definition at line 81 of file pathwiseproductcaplet.hpp.
|
private |
Definition at line 82 of file pathwiseproductcaplet.hpp.
|
private |
Definition at line 83 of file pathwiseproductcaplet.hpp.
|
private |
Definition at line 84 of file pathwiseproductcaplet.hpp.
|
private |
Definition at line 86 of file pathwiseproductcaplet.hpp.
|
private |
Definition at line 88 of file pathwiseproductcaplet.hpp.


This is a series of three essays, based on my notes from a 2017 PyData NYC tutorial. The first two essays are completely independent, and may be used as in introduction to linear regression or probabilistic programming, respectively. The third builds on the knowledge of those two, and uses the data set introduced in the first, but is fine to read if you are familiar with linear regression and probabilistic programming.
The essays go along with Jupyter notebooks and exercises. You can install the requirements by following instructions below. All material is hosted on github, and comments may be posted there as issues.
These talks cover a reasonable portion of three undergraduate courses in math, but requires only a hazy memory of the subjects to follow. We derive linear regression, along with regularization, from the standpoint of
The goal of this talk is to help participants understand the math underlying so much of modern machine learning. I do not expect that attendees (or readers) will have new models or libraries to try, but I do expect that they will be better at tasks like diagnosing problems in the linear parts of their neural networks, explaining why logistic regression will be good (or bad) for a task, and giving colleagues some intuition for regularization.
If you wish to follow along in the essays and exercises (which I would recommend), the easiest way to install the requirements is using conda, which is fastest to get via Miniconda. Should also work via pip and the supplied requirements.txt file.
git clone https://github.com/ColCarroll/pydata_nyc2017.git
cd pydata_nyc2017
conda env create -f environment.yml
conda activate pydata_nyc20173.6 # new conda
source activate pydata_nyc20173.6 # OSX/Linux
activate pydata_nyc20173.6 # Windows
jupyter notebook
There were a number of other talks and workshops at PyData NYC 2017 covering similar Bayesian approaches. To mention a few talks, along with links to their videos (coming soon! placeholder for now):
There were also three other workshops which (like this one) were not videotaped.


OpenOffice.org 1.0 - Setup Guide
April 2002, Revision D
Contents
- OpenOffice.org Setup Guide
- Icons in the Documentation
- The OpenOffice.org Installation
- Installation Types
- General Installation Tips
- System Requirements
- Preparing the Installation
- Single-User Installation
- Installation Requirements
- Starting the Installation
- The Setup Procedure
- Welcome
- Important Information
- License Agreement
- User Data
- Type of Installation
- Component Selection
- Installation Directory
- Concluding the Installation Options
- Assigning File Types
- Java™ Runtime Environment
- Copying the Files
- Concluding the Installation
- Starting OpenOffice.org
- Multi-User or Network Installation
- Installation Phase 1
- Installation Requirements
- Starting the Installation
- The Setup Procedure
- Workstation Installation
- Installation Requirements
- Starting the Installation
- The Setup Procedure
- Starting OpenOffice.org
- Appendix
- Automated Installation under Unix
- Setting up Printer, Fax and Fonts under Unix
- Setting up Printers
- Using Fax Functionality
- Connecting a PostScript for PDF Converter
- Installing Fonts
- Installing a patch under the Solaris™ Operating Environment
- Modifying the OpenOffice.org Installation
- Modify
- Repair
- Remove
- Setup Parameters


toy language
`Prev `__
T
`Next `__
--------------
**toy language**: n.
A language useful for instructional purposes or as a proof-of-concept
for some aspect of computer-science theory, but inadequate for
general-purpose programming. `*Bad Thing* <../B/Bad-Thing.html>`__\ s
can result when a toy language is promoted as a general purpose solution
for programming (see `*bondage-and-discipline
language* <../B/bondage-and-discipline-language.html>`__); the classic
example is `*Pascal* <../P/Pascal.html>`__. Several moderately
well-known formalisms for conceptual tasks such as programming Turing
machines also qualify as toy languages in a less negative sense. See
also `*MFTL* <../M/MFTL.html>`__.
--------------
+------------------------+----------------------------+--------------------------------+
| `Prev `__ | `Up <../T.html>`__ | `Next `__ |
+------------------------+----------------------------+--------------------------------+
| toy | `Home <../index.html>`__ | toy problem |
+------------------------+----------------------------+--------------------------------+


An infinite plane.
More...
#include <SimplePlane.h>
◆ SimplePlane()
◆ ~SimplePlane()
| SimplePlane::~SimplePlane |
( |
| ) |
|
|
overridedefault |
◆ intersect_properties()
If ray intersects this object, this method will provide additional Information.
Note, that even if rayIntersect detected an intersection, this method might not be called. It is called iff the Intersection-Object returned by rayIntersect contains a pointer to this object and no other object in the rendered scene returned an intersection that was closer to the camera.
- Parameters
-
- Returns
- IntersectionProperties object containing the surface normal and material information
Implements RenderObject.
◆ onPlane()
| bool SimplePlane::onPlane |
( |
const Vector3D & |
pt, |
|
|
const double & |
epsilon |
|
) |
| const |
|
virtual |
Given a point pt, this method checks whether it is reasonable to say that it lies in plane.
- Note
- The epsilon is only really meaningful if the plane is in hesse normal form (normed normal). Then epsilon denotes the maximum distance to the plane at which pt would be considered in plane.
- Parameters
-
| pt | The point in question |
| epsilon | Tolerance for deciding whether or not pt is in plane |
- Returns
- Returns true iff pt is reasonably (epsilon) close to the plane
◆ print()
| std::ostream & SimplePlane::print |
( |
std::ostream & |
sink | ) |
const |
|
overridevirtual |
◆ ray_intersect()
Method to detect intersection of ray and object.
- Parameters
-
- Returns
- Intersection object containing distance to intersection and pointer to intersected object
Implements RenderObject.
◆ material
◆ normal
The documentation for this class was generated from the following files:


Connected to chat... Try opening two browsers next to each other and sending messages between the windows to see it work.
Online users:


string soundex ( string $str )
Calculates the soundex key of str. Soundex keys have the property that words pronounced similarly produce the same soundex key, and can thus be used to simplify searches in databases where you know the pronunciation but not the spelling. This soundex function returns a string 4 characters long, starting with a letter. This particular soundex function is one described by Donald Knuth in "The Art Of Computer Programming, vol. 3: Sorting And Searching", Addison-Wesley (1973), pp. 391-392.
Returns the soundex key as a string.


I had previously tried 4-AcO-DET orally, intravenously, and by insufflation, with positive experiences. Insufflation onset was the least pleasant. The most I had previously injected was about half of the 23 mg doses I had eyeballed. (Eyeballing, of course, not recommended.)
At 9:00 pm I injected the compound. This was much much more than dancing objects and my field of vision swimming about merrily. I was jettisoned within a minute into a new state. I realized I was still in my apartment, but visions were zooming towards me only to stop suddenly before me and drop away, or be replaced by new ones. I was zooming through possible universes until I literally reached the top. There was an organized or measured feeling to the experience that made it obvious I had reached a pinnacle of Being. What I met at that pinnacle was my Self.
This was a feeling I hadn't had since my first massive LSD experience at university, over twenty years ago. My Self, or my ego- the experience of 'I', was not me, DavEy, but rather a cosmic consciousness that superceded all of space and time. It was like remembering who I really am. More than blissful, I felt omnipotent because I knew that 'I' could never really die.  I watched as all of creation seemed to unfold before me, living and dying while 'I' remained eternal and unshaken by the passing of lives or universes.
Then I felt some sort of cosmic register, a realization that there was indeed, and undeniably, more good than bad in the omniverse. That ultimately I may have given more good to the universe than bad, despite my many misgivings about my past. And I wanted to do MORE good, desperately.
Though recently I had been sometimes negative about my life and my future, seeing that 'I' couldn't die made me realize that since dying as DavEy meant nothing, really, then I was free to gamble with my life. To take chances and stick it out, because the end would be the same anyway, whether I took my own life, or time took it for me. What's the hurry?
The entire trip was over after about three hours, the descent from peak started within minutes of injection. It was a peak experience that has stayed with me, and empowered me. The next day I took about 30mg orally, and it was very intense, with its own characteristics and insights, but didn't have the sheer spiritual asskicking of the previous night. In fact, there was more apprehension the second night, perhaps because- as one contributer put it- 'there is no time for apprehension via the injected route.' Since then I have not used 4-AcO-DET, because any further exploration would have been 'chasing the dragon', and that's not what psychedelics are about.
I don't encourage I.V. drug use to anyone, as it bypasses some of the body's natural defenses. The purpose of my report is to suggest the very spiritual and healing nature of 4-AcO-DET, given the right place and time. Oral administration seems to me to be the best route overall, and by itself has provided much insight and pleasure.
--------------------------------------------
MAY 5, 2010 ADDENDUM
While never explicit in my original report about my past and regrets that I felt I had overcome in that one singular experience, I had been suffering through some six years of crime and intravenous cocaine use.
It is my complete pleasure to be able to say today that I never injected myself with anything after my experience that day with 4-AcO-DET. I will admit that it's been a slow road to recovering my spirit sometimes, but I never shot up and I never touched cocaine again. And as the record will attest, I've been crime-free too.
My best friend April was sentenced to three years in prison for selling me the drugs that saved my life. We remain best friends, from that first day she told me, just a customer then, that she loved me.
'You don't get that from Pfizer.' she assured me.
Forever linked in the press release of her arrest, she the criminal and me 'a Canadian customer'.
Sometimes I wonder how many other hearts were changed like mine because April C. decided these unscheduled compounds were a good thing. It would probably be amazing to collect the stories.
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.


Avalon
Hidden role game. Servants of Arthur complete quests while minions of Mordred attempt to sabotage their efforts without being discovered.
Announcer App5-10 players
Avalon
Hidden role game. Servants of Arthur complete quests while minions of Mordred attempt to sabotage their efforts without being discovered.
Announcer App5-10 players
One Night Ultimate Werewolf
Hidden role game. Each role performs a secret action during the Night Phase, after which players have limited time to discover who among them are werewolves in disguise.
Companion App for Android3-10 players
Codenames
Two spymasters communicate with their teams using clues of only a single word to refer to different sets of words on the board.
4-8 players
Betrayal at House on the Hill
Players explore a haunted house to discover rooms and items before the haunt is revealed and a unique scenario plays out, often involving one player turning against the others.
5-10 players
Secret Hitler
Hidden role game. Players cooperate to pass liberal policies without accidentally passing fascist ones. Hidden fascist players led by Hitler must keep their identities secret while ensuring fascist policies dominate.
5-10 players
Just One
Players take turns to guess a word based on clues given by the other players. However, if any two players give the same clue both are removed and cannot be used.
3-7 players
Jackbox Party Packs 1-5
A collection of party games from quizzes to competitive painting.
4-10 players
A Fake Artist Goes to New York
A hidden role drawing game where players take turns drawing clues to prove they're not the fake artist without revealing what the prompt word was.
Gamemaster App3+ players
Camel Up
Players try to make as much money as possible betting on the results of a camel race.
2-8 players
Bang! The Dice Game
Hidden role game. Different players work together to achieve their goals, but only the Sheriff's role is revealed.
4-7 players
Exploding Kittens
Players take turns drawing cards. Drawing an Exploding Kitten loses you the game unless you can play a Defuse card. Last player alive wins!
2-5 players


Generate data drawn form a mixture of Gaussians. For definitions of separation and eccentricity see: Sanjoy Dasgupta, "Learning Mixtures of Gaussians", FOCS, 1999. http://cseweb.ucsd.edu/~dasgupta/papers/mog.pdf USAGE [X0,H0,X1,H1] = demoGenData(n0,n1,k,d,sep,ecc,[frc]) INPUTS n0 - size of training set n1 - size of testing set k - number of mixture components d - data dimension sep - minimum separation degree between clusters (sep > 0) ecc - maximum eccentricity of clusters (0 < ecc < 1) frc - [0] frac of points that are noise (uniformly distributed) OUTPUTS X0 - [n0xd] training set data vectors H0 - [n0x1] cluster membership in [1,k] (and -1 for noise) X1 - [n1xd] testing set data vectors H1 - [n1x1] cluster membership in [1,k] (and -1 for noise) EXAMPLE n0=1000; k=5; d=2; sep=2; ecc=1; frc=0; [X0,H0,X1,H1] = demoGenData(n0,n0,k,d,sep,ecc,frc); figure(1); clf; visualizeData( X0, 2, H0 ); title('train'); figure(2); clf; visualizeData( X1, 2, H1 ); title('test'); See also visualizeData, demoCluster Piotr's Computer Vision Matlab Toolbox Version 3.20 Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] Licensed under the Simplified BSD License [see external/bsd.txt]


How to Use DeriveAlive
¶
How to install¶
Create a virtual environment and activate it
# If you don't have virtualenv, install it sudo easy_install virtualenv # Create virtual environment virtualenv env # Activate your virtual environment source env/bin/activateInstall
DeriveAlive
using pip. In the terminal, type:pip install DeriveAliveRun module tests before beginning.
# Navigate to https://pypi.org/project/DeriveAlive/#files # Download tar.gz folder, unzip, and enter the folder pytest tests
Basic demo¶
python
>>> from DeriveAlive import DeriveAlive as da
>>> from DeriveAlive import rootfinding as rf
>>> from DeriveAlive import optimize as opt
>>> from DeriveAlive import spline as sp
>>> import numpy as np
>>> import matplotlib.pyplot as plt
Declare Variables¶
- Denote constants
# None has to be typed, otherwise will be denoted as an R^1 variable
>>> a = da.Var([1], None)
>>> a
Var([1], None)
Note
Constant (scalar or vector): User must initialize derivative to ‘None’. Otherwise, the variable will be denoted as an \(\mathbb{R}^1\) variable with derivative [1].
- Denote scalar variables and functions
# The first way to denote a scalar varibale
>>> x = da.Var([1])
>>> x
Var([1], [1])
# The second way to denote a scalar variable
>>> x = da.Var([1], [1])
>>> x
Var([1], [1])
# Denote a scalar function
>>> f = 2 * x + np.sin(x)
>>> f
Var([2.84147098], [2.54030231])
# Define a callable scalar function:
>>> def f(x):
return 2 * x + np.sin(x)
<function f at 0x116080950>
- Denote vector variables and functions
# Suppose we want to denote variables in R^3
>>> x = da.Var([1], [1, 0, 0])
>>> y = da.Var([2], [0, 1, 0])
>>> z = da.Var([3], [0, 0, 1])
# Alternatively, users can use the following notation to declare the same variables
# 'x,y': x denotes the length of the derivative, y denotes the position of the 1
>>> x = da.Var([1], '3,0')
>>> y = da.Var([2], '3,1')
>>> z = da.Var([3], '3,2')
# Suppose we want to denote an R^3 to R^1 function
f = x + y + z
>>> f
Var([6], [1 1 1])
# Alternatively, the user can define the R^3 to R^1 function
# by explicitly defining a da.Var vector with one entry:
>>> g = da.Var([2 * x + x * y])
>>> g
Var([4], [4 1 0])
# Suppose we want to denote an R^3 to R^3 function
>>> f = da.Var([x, y ** 2, z ** 4])
>>> f
Values:
[ 1 4 81],
Jacobian:
[[ 1 0 0]
[ 0 4 0]
[ 0 0 108]]
# Suppose we want to denote an R^1 to R^3 function
>>> x = da.Var([1])
>>> f = da.Var([x, np.sin(x), np.exp(x-1)])
>>> f
Values:
[1. 0.84147098 1. ],
Jacobian:
[[1. ]
[0.54030231]
[1. ]]
Demo 1: \(\mathbb{R}^1 \rightarrow \mathbb{R}^1\)¶
Consider the case \(f(x) = \sin(x) + 5 \tan(x/2)\). We want to calculate the value and the first derivative of \(f(x)\) at \(x=\frac{\pi}{2}\).
# Expect value of 6.0, derivative of 5.0
>>> x = da.Var([np.pi/2])
>>> f = np.sin(x) + 5 * np.tan(x/2)
>>> print(f.val)
[6.]
>>> print(f.der)
[5.]
Demo 2: \(\mathbb{R}^m \rightarrow \mathbb{R}^1\)¶
Consider the case \(f(x,y) = \sin(x) + \exp(y)\). We want to calculate the value and the jacobian of \(f(x,y)\) at \(x=\frac{\pi}{2}, y=1\).
# Expect value of 3.71828183, jacobian of [0, 2.71828183]
>>> x = da.Var([np.pi/2], [1, 0])
>>> y = da.Var([1], [0, 1])
>>> f = np.sin(x) + np.exp(y)
>>> print(f.val)
[3.71828183]
>>> print(f.der)
[0. 2.71828183]
Demo 3: \(\mathbb{R}^1 \rightarrow \mathbb{R}^n\)¶
Consider the case \(f(x) = (\sin(x), x^2)\). We want to calculate the value and the Jacobian of \(f(x)\) at \(x=\frac{\pi}{2}\).
# Expect value of [1. 2.4674011], jacobian of [[0], [3.14159265]]
>>> x = da.Var([np.pi/2], [1])
>>> f = da.Var([np.sin(x), x ** 2])
>>> f
Values:
[1. 2.4674011],
Jacobian:
[[0. ]
[3.14159265]]
Demo 4: \(\mathbb{R}^m \rightarrow \mathbb{R}^n\)¶
Consider the case \(f(x,y,z) = (\sin(x), 4y + z^3)\). We want to calculate the value and the jacobian of \(f(x,y,z)\) at \(x=\frac{\pi}{2}, y=3, z=-2\).
# Expect value of [1, 4], jacobian of [[0 0 0], [0 4 12]]
>>> x = da.Var([np.pi/2], [1, 0, 0])
>>> y = da.Var([3], [0, 1, 0])
>>> z = da.Var([-2], [0, 0, 1])
>>> f = da.Var([np.sin(x), 4 * y + z ** 3])
>>> f
Values:
[1. 4.],
Jacobian:
[[ 0. 0. 0.]
[ 0. 4. 12.]]
..Note:: Demos for additional features are listed in the corresponding additional features tab.


Options Active Scan screen
This screen allows you to configure the active scan options:
Number of Hosts Scanned Concurrently
The maximum number of hosts that will be scanned at the same time.
Increasing this may put extra strain on the computer ZAP is running on.
Concurrent Scanning Threads per Host
The number of threads the scanner will use per host.
Increasing the number of threads will speed up the scan but may put extra strain on the computer ZAP is running on and the target host.
Max Results to List
The number of results that will be shown in the Active Scan tab.
Displaying a large number of results can significantly increase the time a scan takes.
Maximum Rule Duration (minutes; 0 is unlimited)
The maximum time any individual rule can run for in minutes. Zero means no limit. This can be used to prevent rules that are taking an excessive amount of time.
Max alerts any rule can raise
The maximum number of alerts any rule can raise during the active scan, scan rules that reach this value are skipped.
Note: The maximum might be exceed due to threading.
Maximum Scan Duration (minutes; 0 is unlimited)
The maximum time that the whole scan can run for in minutes. Zero means no limit. This can be used to ensure that a scan is completed around a set time.
Delay When Scanning (In Milliseconds)
The delay in milliseconds between each request.
Setting this to a non zero value will increase the time an active scan takes, but will put less of a strain
on the target host.
Note: This option has been deprecated and it will be removed in a future release. Use the Network > Rate Limit option instead. The latter option
allows to enforce the rate at which the requests are sent while the Delay When Scanning doesn't.
Inject plugin ID in header for all active scan requests.
If this option is selected the active scanner will inject the request header X-ZAP-Scan-ID
with the ID of
the scan rule that's sending the HTTP requests.
Handle anti-CSRF tokens.
If this option is selected then the active scanner will attempt to automatically request
anti CSRF tokens when required.
Previously this would have forced the scanner to only use one thread, but that is no longer the case.
You are strongly recommended to check that the anti CSRF tokens are being correctly generated if more than one thread is being used,
for example using custom tags to check for success / failure patterns in the response.
In Attack Mode prompt to rescan nodes when scope changed.
If this option is selected then when you select Attack mode you will be prompted to choose whether to rescan nodes in scope.
If the option is not selected then the following option will control whether the nodes are rescanned.
In Attack Mode always rescan nodes when scope changed.
If this option is selected then when running in Attack mode all nodes in scope will be rescanned if the scope changes.
This is not recommended for large sites as it could take a long time.
Default Active Scan Policy
The سیاست اسکن that is used by default when you start an active scan.
Attack Mode Scan Policy
The Scan Policy that is used for scanning in
Attack mode.
Max Progress Chart in Mins
The maximum time in minutes for which response codes will be charted in the
Scan Progress dialog.
To disable the chart the option should be set to zero minutes.
See also


Hi! Are you looking forward to meeting him as so much as l am?
这是Zhiwanyi的第一个网页，这个网页托管在github上，欢迎大家访问
刚才，我们又把Github Desktop 安装在本地了，现在我们试着对网站进行修改和上传，


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Panorama
Ground Floor Plan
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Morbi tincidunt, dui sit amet facilisis feugiat, odio metus gravida ante, tortor et purus.
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Click on
Room Name
to go to panorama view.
First Floor plan of site.
Click on
Room Name
to go to panorama view.


Your personal Enoch frontpage. Comehere to check in with your favorite communication.
Host of the Bitcoin Matrix podcast @DeLaBtcMatrix A philosophical podcast about #Bitcoin. Family man.
Our interactive session on "Happiness at the Workplace" with the renowned communication speaker Mukund Trivedy was an eye-opener on various challenges faced by employees across the country. …see more
Our interactive session on "Happiness at the Workplace" with the renowned communication speaker Mukund Trivedy was an eye-opener on various challenges faced by employees across the country. …see more
Looking at the claim that discourse around ‘White Previlege’ can hamper white working class students.
Looking at the claim that discourse around ‘White Previlege’ can hamper white working class students.


Terve! - Better Battlelog Forums #2053
Sitemap
20. September 2012 19:19
Topicstarter
GenericRandom
Helping Hand
is Finnish an means Hi!
I am here to help with the Finnish translation, from Finland obviously :)
See you on the battlefield!
20. September 2012 19:27
Meaurk
Global Moderator
Hi and welcome! :)
20. September 2012 23:33
Dendari
Translator
Welcome! :)
21. September 2012 04:38
Nano
Global Moderator
Welcome!
21. September 2012 14:27
xXJumpyXx
Helping Hand
I'll just quote Inception...
Inception wrote:
Hi and welcome! :)


Index
A
|
B
|
C
|
E
|
F
|
G
|
I
|
L
|
M
|
O
|
P
|
S
|
T
|
U
|
V
A
AbstractGameComponent (class in game_components)
activate() (game_actions.Cancel static method)
(game_actions.Confirm static method)
(game_actions.ToDo method)
add() (buttons.ButtonCollection method)
App (class in app)
app (module)
B
Button (class in buttons)
ButtonCollection (class in buttons)
buttons (module)
C
Cancel (class in game_actions)
Card (class in game_components)
Chip (class in game_components)
chip_type_for_colour_name() (in module utils)
ChipCost (class in colour_count)
ChipStacks (class in colour_count)
ChipType (class in util_classes)
clicked() (buttons.Button method)
colour_count (module)
ColourCount (class in colour_count)
Config (class in settings)
Confirm (class in game_actions)
covers_cost() (colour_count.ColourCount method)
current_player (game.Game attribute)
E
embody() (buttons.Button method)
(game.Game method)
F
filter() (colour_count.ColourCount method)
G
Game (class in game)
game (module)
game_actions (module)
game_components (module)
I
init_game() (game.Game method)
(in module app)
items() (colour_count.ColourCount method)
L
last_player (game.Game attribute)
M
move_back() (game_components.AbstractGameComponent method)
O
on_cleanup() (app.App static method)
on_event() (app.App method)
on_execute() (app.App method)
on_init() (app.App method)
P
pieces_match() (in module utils)
PlayerCardStack (class in colour_count)
PlayerChipStack (class in colour_count)
process_mouse_click() (buttons.ButtonCollection method)
S
scaled_rectangle (buttons.Button attribute)
settings (module)
SplitIntoIncludedAndExcluded (class in utils)
stash_state() (game_components.AbstractGameComponent method)
T
Tile (class in game_components)
to_rectangle() (vector.Vector method)
ToDo (class in game_actions)
U
util_classes (module)
utils (module)
V
Vector (class in vector)
vector (module)
VisibleButton (class in buttons)
Related Topics
Documentation overview
Quick search


These guidelines are the road map for creating, maintaining and using the various brands within the jQuery Family. We will be exploring logos, colors, typography, naming conventions and applications to help you understand the rules of our brand.
By adhering to these guidelines, you’ll play a part in making jQuery and its family of brands recognizable, memorable and as strong as possible!
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Sweden PM Claims No Link Between Rising Gang Crime and Mass Migration
“The segregation is because there is too low employment and too high unemployment in these areas.”
by BreitbartSwedish Prime Minister Stefan Löfven has claimed that there is no link between the high number of migrants the country has taken in recent years and the rising problem of gang violence.
The Swedish prime minister made his comments on Sunday on Swedish television, stating that the problem with rising gang violence was very real and different from the past and that the government “may not have seen it coming”, Nyheter Idag reports.
When asked by the host of the Agenda programme Anders Holmberg about links between mass migration and gang violence, Löfven was dismissive of any connection, blaming poverty and unemployment rates instead.
“The segregation is because there is too low employment and too high unemployment in these areas. But that would have been the same regardless of who had lived there. If you put people born in Sweden under the same conditions, you get the same result,” the Swedish leader said.
Mike Adams joins Alex Jones and Millie Weaver to break down the reality of weaponized food and how President Trump could have encountered it. By the way, upgrade your smile with the new SuperSilver Whitening Toothpaste that’s on sale now!


Created by Markus Hjort / @mhjort
Load testing is the process of putting demand on a software system or computing device and measuring its response. Load testing is performed to determine a system's behavior under both normal and anticipated peak load conditions --Wikipedia
{:name "Login & logout"
:requests [{:name "Login" :fn login}
:name "Logout" :fn logout}}
(defn- ok? [cb {:keys [status]}]
(cb (= 200 status)))
(defn login [cb]
(http/get "http://my-service/login"
{}
(partial ok? cb)))
(defn logout [cb]
(http/get "http://my-service/logout"
{}
(partial ok? cb)))
[{:name "Login & logout"
:weight 5
:requests [...]}
{:name "Register"
:weight 1
:requests [...]}]
(map (fn [virtual-user-id]
(go
(run-scenario virtual-user-id)))
(range concurrency))
(go
(doseq [request requests]
(let [response (chan)
callback (fn [result] (put! response result))]
(request callback)
(>! scenario-result (<! response)))))
(let [response (chan)]
(go-loop []
(let [result (<! (run-scenario)]
(>! response result)))
(when (should-continue?)
recur)))
(deflambdafn loadTesting.LambdaFn [is os ctx]
(let [input (parse-stream (io/reader is) true)
(run-simulation (:scenarios input)
(:concurrency input))
(let [payload {:simulation 'simulations/login-simulation
:concurrency 100}]
(.invoke (AWSLambdaClient.)
(-> (InvokeRequest.)
(.withFunctionName "LoadTestingLambda")
(.withPayload (generate-string payload)))))
(map #(thread (invoke-lambda % simulation concurrency))
lambda-nodes)
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Linked plots with buttons for filtering and exporting data
Fuel Economy (mpg): 9 to 50
Reset Brushes
Keep Brushed Data
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Export Brushed Data


@* * Copyright 2021 HM Revenue & Customs * * 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. *@ @import uk.gov.hmrc.residencenilratebandcalculator.FrontendAppConfig @import uk.gov.hmrc.residencenilratebandcalculator.controllers.routes @()(implicit request: Request[_], messages: Messages, appConfig: FrontendAppConfig) @uk.gov.hmrc.residencenilratebandcalculator.views.html.main_template( title = messages("session_expired.browser_title"), frontendAppConfig = appConfig, bodyClasses = None, enableTimeout = false ) {


Chi Nul
Chi Nul is a technologist and privacy advocate.
Privacy
Using Tails for online privacy
Bisq
Ideas for Bisq contributions


HPX V0.9.9 (Oct 31, 2014, codename Spooky)¶
General changes¶
We have had over 1500 commits since the last release and we have closed over 200 tickets (bugs, feature requests, pull requests, etc.). These are by far the largest numbers of commits and resolved issues for any of the HPX releases so far. We are especially happy about the large number of people who contributed for the first time to HPX.
We completed the transition from the older (non-conforming) implementation of
hpx::future
to the new and fully conforming version by removing the old code and by renaming the typehpx::unique_future
tohpx::future
. In order to maintain backwards compatibility with existing code which uses the typehpx::unique_future
we support the configuration variableHPX_UNIQUE_FUTURE_ALIAS
. If this variable is set toON
while running cmake it will additionally define a template alias for this type.We rewrote and significantly changed our build system. Please have a look at the new (now generated) documentation here: HPX build system. Please revisit your build scripts to adapt to the changes. The most notable changes are:
HPX_NO_INSTALL
is no longer necessary.For external builds, you need to set
HPX_DIR
instead ofHPX_ROOT
as described here: Using HPX with CMake-based projects.IDEs that support multiple configurations (Visual Studio and XCode) can now be used as intended. that means no build dir.
Building HPX statically (without dynamic libraries) is now supported (
-DHPX_STATIC_LINKING=On
).Please note that many variables used to configure the build process have been renamed to unify the naming conventions (see the section cmake_variables for more information).
This also fixes a long list of issues, for more information see Issue #1204.
We started to implement various proposals to the C++ Standardization committee related to parallelism and concurrency, most notably N4409 (Working Draft, Technical Specification for C++ Extensions for Parallelism), N4411 (Task Region Rev. 3), and N4313 (Working Draft, Technical Specification for C++ Extensions for Concurrency).
We completely remodeled our automatic build system to run builds and unit tests on various systems and compilers. This allows us to find most bugs right as they were introduced and helps to maintain a high level of quality and compatibility. The newest build logs can be found at HPX Buildbot Website.
Bug fixes (closed tickets)¶
Here is a list of the important tickets we closed for this release.
Issue #1296 - Rename make_error_future to make_exceptional_future, adjust to N4123
Issue #1295 - building issue
Issue #1293 - Transpose example
Issue #1292 - Wrong abs() function used in example
Issue #1291 - non-synchronized shift operators have been removed
Issue #1290 - RDTSCP is defined as true for Xeon Phi build
Issue #1289 - Fixing 1288
Issue #1288 - Add new performance counters
Issue #1287 - Hierarchy scheduler broken performance counters
Issue #1286 - Algorithm cleanup
Issue #1285 - Broken Links in Documentation
Issue #1284 - Uninitialized copy
Issue #1283 - missing boost::scoped_ptr includes
Issue #1282 - Update documentation of build options for schedulers
Issue #1281 - reset idle rate counter
Issue #1280 - Bug when executing on Intel MIC
Issue #1279 - Add improved when_all/wait_all
Issue #1278 - Implement improved when_all/wait_all
Issue #1277 - feature request: get access to argc argv and variables_map
Issue #1276 - Remove merging map
Issue #1274 - Weird (wrong) string code in papi.cpp
Issue #1273 - Sequential task execution policy
Issue #1272 - Avoid CMake name clash for Boost.Thread library
Issue #1271 - Updates on HPX Test Units
Issue #1270 - hpx/util/safe_lexical_cast.hpp is added
Issue #1269 - Added default value for “LIB” cmake variable
Issue #1268 - Memory Counters not working
Issue #1266 - FindHPX.cmake is not installed
Issue #1263 - apply_remote test takes too long
Issue #1262 - Chrono cleanup
Issue #1261 - Need make install for papi counters and this builds all the examples
Issue #1260 - Documentation of Stencil example claims
Issue #1259 - Avoid double-linking Boost on Windows
Issue #1257 - Adding additional parameter to create_thread
Issue #1256 - added buildbot changes to release notes
Issue #1255 - Cannot build MiniGhost
Issue #1253 - hpx::thread defects
Issue #1252 - HPX_PREFIX is too fragile
Issue #1250 - switch_to_fiber_emulation does not work properly
Issue #1249 - Documentation is generated under Release folder
Issue #1248 - Fix usage of hpx_generic_coroutine_context and get tests passing on powerpc
Issue #1247 - Dynamic linking error
Issue #1246 - Make cpuid.cpp C++11 compliant
Issue #1245 - HPX fails on startup (setting thread affinity mask)
Issue #1244 - HPX_WITH_RDTSC configure test fails, but should succeed
Issue #1243 - CTest dashboard info for CSCS CDash drop location
Issue #1242 - Mac fixes
Issue #1241 - Failure in Distributed with Boost 1.56
Issue #1240 - fix a race condition in examples.diskperf
Issue #1239 - fix wait_each in examples.diskperf
Issue #1238 - Fixed #1237: hpx::util::portable_binary_iarchive failed
Issue #1237 - hpx::util::portable_binary_iarchive faileds
Issue #1235 - Fixing clang warnings and errors
Issue #1234 - TCP runs fail: Transport endpoint is not connected
Issue #1233 - Making sure the correct number of threads is registered with AGAS
Issue #1232 - Fixing race in wait_xxx
Issue #1231 - Parallel minmax
Issue #1230 - Distributed run of 1d_stencil_8 uses less threads than spec. & sometimes gives errors
Issue #1229 - Unstable number of threads
Issue #1228 - HPX link error (cmake / MPI)
Issue #1226 - Warning about struct/class thread_counters
Issue #1225 - Adding parallel::replace etc
Issue #1224 - Extending dataflow to pass through non-future arguments
Issue #1223 - Remaining find algorithms implemented, N4071
Issue #1222 - Merging all the changes
Issue #1221 - No error output when using mpirun with hpx
Issue #1219 - Adding new AGAS cache performance counters
Issue #1216 - Fixing using futures (clients) as arguments to actions
Issue #1215 - Error compiling simple component
Issue #1214 - Stencil docs
Issue #1213 - Using more than a few dozen MPI processes on SuperMike results in a seg fault before getting to hpx_main
Issue #1212 - Parallel rotate
Issue #1211 - Direct actions cause the future’s shared_state to be leaked
Issue #1210 - Refactored local::promise to be standard conformant
Issue #1209 - Improve command line handling
Issue #1208 - Adding parallel::reverse and parallel::reverse_copy
Issue #1207 - Add copy_backward and move_backward
Issue #1206 - N4071 additional algorithms implemented
Issue #1204 - Cmake simplification and various other minor changes
Issue #1203 - Implementing new launch policy for (local) async:
hpx::launch::fork
.Issue #1202 - Failed assertion in connection_cache.hpp
Issue #1201 - pkg-config doesn’t add mpi link directories
Issue #1200 - Error when querying time performance counters
Issue #1199 - library path is now configurable (again)
Issue #1198 - Error when querying performance counters
Issue #1197 - tests fail with intel compiler
Issue #1196 - Silence several warnings
Issue #1195 - Rephrase initializers to work with VC++ 2012
Issue #1194 - Simplify parallel algorithms
Issue #1193 - Adding
parallel::equal
Issue #1192 - HPX(out_of_memory) on including <hpx/hpx.hpp>
Issue #1191 - Fixing #1189
Issue #1190 - Chrono cleanup
Issue #1189 - Deadlock .. somewhere? (probably serialization)
Issue #1188 - Removed
future::get_status()
Issue #1186 - Fixed FindOpenCL to find current AMD APP SDK
Issue #1184 - Tweaking future unwrapping
Issue #1183 - Extended
parallel::reduce
Issue #1182 -
future::unwrap
hangs forlaunch::deferred
Issue #1181 - Adding
all_of
,any_of
, andnone_of
and corresponding documentationIssue #1180 -
hpx::cout
defectIssue #1179 -
hpx::async
does not work for member function pointers when called on types with self-defined unaryoperator*
Issue #1178 - Implemented variadic
hpx::util::zip_iterator
Issue #1177 - MPI parcelport defect
Issue #1176 -
HPX_DEFINE_COMPONENT_CONST_ACTION_TPL
does not have a 2-argument versionIssue #1175 - Create util::zip_iterator working with util::tuple<>
Issue #1174 - Error Building HPX on linux, root_certificate_authority.cpp
Issue #1173 - hpx::cout output lost
Issue #1172 - HPX build error with Clang 3.4.2
Issue #1171 -
CMAKE_INSTALL_PREFIX
ignoredIssue #1170 - Close hpx_benchmarks repository on Github
Issue #1169 - Buildbot emails have syntax error in url
Issue #1167 - Merge partial implementation of standards proposal N3960
Issue #1166 - Fixed several compiler warnings
Issue #1165 - cmake warns: “tests.regressions.actions” does not exist
Issue #1164 - Want my own serialization of hpx::future
Issue #1162 - Segfault in hello_world example
Issue #1161 - Use
HPX_ASSERT
to aid the compilerIssue #1160 - Do not put -DNDEBUG into hpx_application.pc
Issue #1159 - Support Clang 3.4.2
Issue #1158 - Fixed #1157: Rename when_n/wait_n, add when_xxx_n/wait_xxx_n
Issue #1157 - Rename when_n/wait_n, add when_xxx_n/wait_xxx_n
Issue #1156 - Force inlining fails
Issue #1155 - changed header of printout to be compatible with python csv module
Issue #1154 - Fixing iostreams
Issue #1153 - Standard manipulators (like std::endl) do not work with hpx::ostream
Issue #1152 - Functions revamp
Issue #1151 - Supressing cmake 3.0 policy warning for CMP0026
Issue #1150 - Client Serialization error
Issue #1149 - Segfault on Stampede
Issue #1148 - Refactoring mini-ghost
Issue #1147 - N3960 copy_if and copy_n implemented and tested
Issue #1146 - Stencil print
Issue #1145 - N3960 hpx::parallel::copy implemented and tested
Issue #1144 - OpenMP examples 1d_stencil do not build
Issue #1143 - 1d_stencil OpenMP examples do not build
Issue #1142 - Cannot build HPX with gcc 4.6 on OS X
Issue #1140 - Fix OpenMP lookup, enable usage of config tests in external CMake projects.
Issue #1139 - hpx/hpx/config/compiler_specific.hpp
Issue #1138 - clean up pkg-config files
Issue #1137 - Improvements to create binary packages
Issue #1136 - HPX_GCC_VERSION not defined on all compilers
Issue #1135 - Avoiding collision between winsock2.h and windows.h
Issue #1134 - Making sure, that hpx::finalize can be called from any locality
Issue #1133 - 1d stencil examples
Issue #1131 - Refactor unique_function implementation
Issue #1130 - Unique function
Issue #1129 - Some fixes to the Build system on OS X
Issue #1128 - Action future args
Issue #1127 - Executor causes segmentation fault
Issue #1124 - Adding new API functions:
register_id_with_basename
,unregister_id_with_basename
,find_ids_from_basename
; adding testIssue #1123 - Reduce nesting of try-catch construct in
encode_parcels
?Issue #1122 - Client base fixes
Issue #1121 - Update
hpxrun.py.in
Issue #1120 - HTTS2 tests compile errors on v110 (VS2012)
Issue #1119 - Remove references to boost::atomic in accumulator example
Issue #1118 - Only build test thread_pool_executor_1114_test if
HPX_LOCAL_SCHEDULER
is setIssue #1117 - local_queue_executor linker error on vc110
Issue #1116 - Disabled performance counter should give runtime errors, not invalid data
Issue #1115 - Compile error with Intel C++ 13.1
Issue #1114 - Default constructed executor is not usable
Issue #1113 - Fast compilation of logging causes ABI incompatibilities between different
NDEBUG
valuesIssue #1112 - Using thread_pool_executors causes segfault
Issue #1111 -
hpx::threads::get_thread_data
always returns zeroIssue #1110 - Remove unnecessary null pointer checks
Issue #1109 - More tests adjustments
Issue #1108 - Clarify build rules for “libboost_atomic-mt.so”?
Issue #1107 - Remove unnecessary null pointer checks
Issue #1106 - network_storage benchmark imporvements, adding legends to plots and tidying layout
Issue #1105 - Add more plot outputs and improve instructions doc
Issue #1104 - Complete quoting for parameters of some CMake commands
Issue #1103 - Work on test/scripts
Issue #1102 - Changed minimum requirement of window install to 2012
Issue #1101 - Changed minimum requirement of window install to 2012
Issue #1100 - Changed readme to no longer specify using MSVC 2010 compiler
Issue #1099 - Error returning futures from component actions
Issue #1098 - Improve storage test
Issue #1097 - data_actions quickstart example calls missing function decorate_action of data_get_action
Issue #1096 - MPI parcelport broken with new zero copy optimization
Issue #1095 - Warning C4005: _WIN32_WINNT: Macro redefinition
Issue #1094 - Syntax error for -DHPX_UNIQUE_FUTURE_ALIAS in master
Issue #1093 - Syntax error for -DHPX_UNIQUE_FUTURE_ALIAS
Issue #1092 - Rename unique_future<> back to future<>
Issue #1091 - Inconsistent error message
Issue #1090 - On windows 8.1 the examples crashed if using more than one os thread
Issue #1089 - Components should be allowed to have their own executor
Issue #1088 - Add possibility to select a network interface for the ibverbs parcelport
Issue #1087 - ibverbs and ipc parcelport uses zero copy optimization
Issue #1083 - Make shell examples copyable in docs
Issue #1082 - Implement proper termination detection during shutdown
Issue #1081 - Implement thread_specific_ptr for hpx::threads
Issue #1072 - make install not working properly
Issue #1070 - Complete quoting for parameters of some CMake commands
Issue #1059 - Fix more unused variable warnings
Issue #1051 - Implement when_each
Issue #973 - Would like option to report hwloc bindings
Issue #970 - Bad flags for Fortran compiler
Issue #941 - Create a proper user level context switching class for BG/Q
Issue #935 - Build error with gcc 4.6 and Boost 1.54.0 on hpx trunk and 0.9.6
Issue #934 - Want to build HPX without dynamic libraries
Issue #927 - Make hpx/lcos/reduce.hpp accept futures of id_type
Issue #926 - All unit tests that are run with more than one thread with CTest/hpx_run_test should configure hpx.os_threads
Issue #925 - regression_dataflow_791 needs to be brought in line with HPX standards
Issue #899 - Fix race conditions in regression tests
Issue #879 - Hung test leads to cascading test failure; make tests should support the MPI parcelport
Issue #865 - future<T> and friends shall work for movable only Ts
Issue #847 - Dynamic libraries are not installed on OS X
Issue #816 - First Program tutorial pull request
Issue #799 - Wrap lexical_cast to avoid exceptions
Issue #720 - broken configuration when using ccmake on Ubuntu
Issue #622 -
--hpx:hpx
and--hpx:debug-hpx-log
is nonsensicalIssue #525 - Extend barrier LCO test to run in distributed
Issue #515 - Multi-destination version of hpx::apply is broken
Issue #509 - Push Boost.Atomic changes upstream
Issue #503 - Running HPX applications on Windows should not require setting %PATH%
Issue #461 - Add a compilation sanity test
Issue #456 - hpx_run_tests.py should log output from tests that timeout
Issue #454 - Investigate threadmanager performance
Issue #345 - Add more versatile environmental/cmake variable support to hpx_find_* CMake macros
Issue #209 - Support multiple configurations in generated build files
Issue #190 - hpx::cout should be a std::ostream
Issue #189 - iostreams component should use startup/shutdown functions
Issue #183 - Use Boost.ICL for correctness in AGAS
Issue #44 - Implement real futures


The OneNote Class Notebook APIs let you programmatically create and edit class notebooks.
This sample demonstrates the basics on how you would call these APIs using JavaScript, jQuery
and ADAL for authentication.
For full documentation on the class notebook APIs take a look at our article on MSDN.
We are also making the source code for this app available on GitHub.
To learn more about ADAL you can visit its GitHub page.
To use this app please log in using your Office 365 account.
The Class Notebook APIs let you view, create, and edit OneNote class notebooks. In
this example we retrieve all the class notebooks that you are a part of along with
links to access them via the web client. If you'd like to create additional class
notebooks you can use our Class Notebook app.
Teacher-only section group
A teacher-only section group is an area of the class notebook that is not
visible to the students. It's a great way for teachers and co-teachers can
collaborate and share notes. Use the following form to add a teacher-only
section group to one of your existing notebooks.
The copy content API enables you to share sectiongs between notebooks. You can copy
a section from one of your notebooks into the Content Library of one of your other
existing notebooks. This example shows how you can use the regular OneNote APIs along
with the Class Notebook APIs to give you a lot of control over the structure of the
notebooks you create.
In the following form, first select the notebook that holds the
section you want to copy. Then select the section in that notebook that you want to
copy. Finally select the notebook you want to copy the section to. The section will
be copied to the Content Library of the target notebook. Please note that this form
will expose only sections on top of the notebook hierarchy, meaning that sections
within section groups won't show up. However, you can re-write this to access any
section within your notebook.


Follow these steps to view your completed courses:
The Completed Courses page displays all of your completed courses.


{% load i18n %}
{% comment %}Translators: This email is sent to users when their application is approved. Don't translate Jinja variables in curly braces like {{ user }} or {{ partner }}; don't translate html tags either. Translate Wikipedia Library in the same way as the global branch is named (click through from https://meta.wikimedia.org/wiki/The_Wikipedia_Library).{% endcomment %} {% blocktranslate trimmed %}Dear {{ user }},
Thank you for applying for access to {{ partner }} resources through The Wikipedia Library. We are happy to inform you that your application has been approved.
{{ user_instructions }}
You can view the collections you're authorized to access at My Library: {{ link }}
Cheers!
The Wikipedia Library
{% endblocktranslate %}


Add Custom Javascript
JS
CSS
RegEx
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This page only
This Domain
Regex
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Execute code on page load
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St Pie X Nyundo And E.S. Nyamagabe :O level. Academic Year 2019-2011
APADE lycee de Kicukiro:Computer science in A level. Academic Year 2012-2014
REVA University:Bachelor Of Computer Applications. Academic Year 2016-2019
Job Experience
Temporary Data collector in Intrahealth Ingobyi in August 2020: job title casual data collector.responsible for entering questionnaires into the respective databases as per the study requirements and to write a brief report to their respective study site.
Skills
SQL Server,MYSQL
Data Science(PANDAS framework)
Graphic design
Video Editing
Interest
Programming
Technology
Art creation
Videography
Hobbies
Football
Music
Playing Music Instruments
Video Game
Driving
Why Programming?
I chose it because we are in the era of information technology and i would like to add my contribution in order to improve myself and society. As for programming we can say that is one the leader of the future and i want to be apart of the future


NVAPI Reference Documentation
|
|
Release 343: September 30
|
The display driver APIs are used to retrieve information about the display driver.
Macro for constructing the version field of NV_DISPLAY_DRIVER_MEMORY_INFO_V1
Macro for constructing the version field of NV_DISPLAY_DRIVER_MEMORY_INFO_V2
| __nvapi_deprecated_function | ( | "Do not use this function - it is deprecated in release 290. | Instead, |
| use NvAPI_SYS_GetDriverAndBranchVersion." | |||
| ) |
| NVAPI_INTERFACE NvAPI_GPU_GetMemoryInfo | ( | NvPhysicalGpuHandle | hPhysicalGpu, |
| NV_DISPLAY_DRIVER_MEMORY_INFO * | pMemoryInfo | ||
| ) |
DESCRIPTION: This function retrieves the available driver memory footprint for the specified GPU.
SUPPORTED OS: Windows XP and higher
TCC_SUPPORTED
| [in] | hPhysicalGpu | Handle of the physical GPU for which the memory information is to be extracted. |
| [out] | pMemoryInfo | The memory footprint available in the driver. See NV_DISPLAY_DRIVER_MEMORY_INFO. |
| NVAPI_INVALID_ARGUMENT | pMemoryInfo is NULL. |
| NVAPI_OK | Call successful. |
| NVAPI_NVIDIA_DEVICE_NOT_FOUND | No NVIDIA GPU driving a display was found. |
| NVAPI_INCOMPATIBLE_STRUCT_VERSION | NV_DISPLAY_DRIVER_MEMORY_INFO structure version mismatch. |
| NVAPI_INTERFACE NvAPI_SYS_GetDriverAndBranchVersion | ( | NvU32 * | pDriverVersion, |
| NvAPI_ShortString | szBuildBranchString | ||
| ) |
DESCRIPTION: This API returns display driver version and driver-branch string.
SUPPORTED OS: Windows XP and higher
| [out] | pDriverVersion | Contains the driver version after successful return. |
| [out] | szBuildBranchString | Contains the driver-branch string after successful return. |
| NVAPI_INVALID_ARGUMENT,: | either pDriverVersion is NULL or enum index too big |
| NVAPI_OK | - completed request |
| NVAPI_API_NOT_INTIALIZED | - NVAPI not initialized |
| NVAPI_ERROR | - miscellaneous error occurred |


Sandile, contact number<PHONE_NUMBER>, has issued a LiveWire alert about an upcoming gathering, with the headline:
Enter description here
The gathering will be taking place at (location), on (date and time). The subject to members is (subject).
The group that is meeting has X people, has been active on Grassroot since Y, and has met or acted Z times in the last year.
The group that is meeting is located at (coordinates), approximately (area), and declared that the meeting is taking place at (some other coord).
More details (from the user generating the alert):
Description


This is a simple web application which interacts with an API developed in SpringBoot to create, read, update and delete items on a to-do list.
The backend to this software runs on port 8080 and API information can be obtained at http://localhost:8080/swagger-ui/index.html
This page is developed in HTML, CSS, Bootstrap and JS
Click "Create" on the navigation bar to add tasks to your to-do list. "Read" will allow all tasks to be displayed, "Update" will allow a task to be updated, "Delete" will allow a task to be deleted.


LOL
WITCH
.
An Automatic Overlay Generator Based in League of Legend's API.
Summoner
Queue
Flex
Solo 5v5
Team 5v5
TFT
Region
Brasil
Europe Nordic & East
Europe West
Japan
Korea
Latin America
Canada
North America
Oceania
Turkey
Russia
Background
Color
Go!