Data principles
Contents
To ensure consistency of data that has been provided from multiple sources, we have established a set of principles that are used across all data sets.
Structuring data
Our data models share similar principles of a relational database. This helps to reduce duplication and makes the data easier to maintain, which in turn increases the trust and usefulness of the data.
When modelling the data standard for developer contributions we created 3 files which can be linked together using unique identifiers. The first .csv contained a list of all agreements. In the second .csv we listed all the contributions, linking them back to the agreement they came from. In the third .csv we listed all the transactions and linked them to the contribution they are being paid towards.
This style of data model means that each .csv only has to contain the minimum amount of required information, but we can link to related datasets to provide context and further detail.
The smaller the better
The smaller the breadth of the data model, the easier it will be to maintain and publish. When datasets become too broad, it increases the chance that data will be missed out, guessed, or needed to be made non-mandatory. This is related to how we structure data.
Not deleting entries in a register
Once something changes, is superseded, or becomes redundant, a new record should be added to the register. The old one can be marked as expired through the use of an end date.
Showing any changes in data helps to make the data more trustworthy and provides reassurance. It also allows service provides to build historic views of the data to demonstrate what has changed over time.
Dates
Date format
Dates can be written in many different ways. To avoid confusion, all dates should comply with the internationally recognised ISO 8601 standard.
A date should be represented as YYYY-MM-DD
, so for example, 4 June 2018 would be written as 2018-06-04
.
Entry, start and end dates
Each record within a register has 3 date attributes. These describe when the record was created, when it came into effect, and from when a record was no longer active.
The dates are represented as a entry-date
, a start-date
, and an end-date
.
As an example, in a register of countries Czechoslovak Republic became The Czech Republic on 1 January 1993. This is represented in their register as:
| official-name | start-date | end-date |
|---|---|---|
| Czechoslovak Republic | 1992-12-31 | |
| The Czech Republic | 1993-01-01 |
End dates
Once an entry is no longer valid or active, do not delete it from your register. Instead, simply add an end date. Keeping historical entries is good practice. Not only do we encourage transparency because it increases trust in the data, but seeing changes and patterns over time is useful for planning, development and policy.
IDs
Each record within a register should have a unique identifier (ID). IDs are used to string together records across multiple registers.
When creating a unique identifier you should:
- avoid the use of personal or private data in the identifier
- create an ID that will always be unique
- never reuse this ID
- assign an ID to all records
Persistent URLs
You should be able to link to a data set from a URL. It is important that overtime the URL does not change. If a URL changes then it will make finding the data more difficult and will break anything that relies on the data. Users of the data need to be able to trust that a URL will take them to the most up to date set of data.
Please make sure you send us the URL to the CSV file, rather than to the web page the CSV file sits on.
Licensing
Data should be published with clear licensing terms which state how the data can be used, and who can use it.
Where possible, data should be published under an Open Government License.
Available in a non-proprietary format
Data should be published in a format that is available without the use of proprietary software. For example, data published as .csv, .tsv or .json can be used freely, regardless of the users choice of development tools. On the other hand, data published in .xls or .pdf is locked to a particular vendor.
Easily accessible
All data should be accessible without any unnecessary requirements, such as providing an email address or credentials.
No derived or calculated data
To help ensure integrity, the data set shouldn't contain any values that can be derived or calculated from other values.
A way to feedback
When people are using the data it is important that they're able to feedback. They might have questions about the data, or they may have noticed errors. Make this easier for users by providing:
- details of who owns the data
- details of who published the data
- a way for someone to feedback


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jQuery Course
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Comparative functions.
Because SQLite doesn't have the ANY
/ALL
comparison operators, subqueries are instead nested and correlated using EXISTS
or NOT EXISTS
, which requires the first column of the subquery to have a name or alias so it's referable.
Public Methods | |
| Predicate | is ($arg) |
| Null-safe type-strict equality. More... | |
| Predicate | isBetween ($min, $max) |
$this BETWEEN $min AND $max (inclusive) More... | |
| Predicate | isEqual ($arg) |
| See Predicate::match(). More... | |
| Predicate | isFalse () |
$this IS FALSE More... | |
| Predicate | isGt ($arg) |
$this > $arg , or driver-appropriate $this > ALL (SELECT ...) More... | |
| Predicate | isGtAny (Select $select) |
Driver-appropriate $this > ANY (SELECT ...) More... | |
| Predicate | isGte ($arg) |
$this >= $arg , or driver-appropriate $this >= ALL (SELECT ...) More... | |
| Predicate | isGteAny (Select $select) |
Driver-appropriate $this >= ANY (SELECT ...) More... | |
| Predicate | isLike (string $pattern) |
$this LIKE $pattern More... | |
| Predicate | isLt ($arg) |
$this < $arg , or driver-appropriate $this < ALL (SELECT ...) More... | |
| Predicate | isLtAny (Select $select) |
Driver-appropriate $this < ANY (SELECT ...) More... | |
| Predicate | isLte ($arg) |
$this <= $arg , or driver-appropriate $this <= ALL (SELECT ...) More... | |
| Predicate | isLteAny (Select $select) |
Driver-appropriate $this <= ANY (SELECT ...) More... | |
| Predicate | isNot ($arg) |
| Null-safe type-strict inequality. More... | |
| Predicate | isNotBetween ($min, $max) |
$this NOT BETWEEN $min AND $max (inclusive) More... | |
| Predicate | isNotEqual ($arg) |
$this <> $arg or $this NOT IN ($arg) More... | |
| Predicate | isNotLike (string $pattern) |
$this NOT LIKE $pattern More... | |
| Predicate | isNotNull () |
$this IS NOT NULL More... | |
| Predicate | isNotRegExp (string $pattern) |
$this NOT REGEXP $pattern More... | |
| Predicate | isNull () |
$this IS NULL More... | |
| Predicate | isRegExp (string $pattern) |
$this REGEXP $pattern More... | |
| Branch | switch (array $values=[]) |
CASE $this ... More... | |
| Predicate is | ( | $arg | ) |
Null-safe type-strict equality.
$this <=> $arg
, or $this <=> ANY ($arg)
$this IS $arg
, or EXISTS (... WHERE $this IS $arg[0])
| null | scalar | EntityInterface | Select | ValueInterface | $arg |
| Predicate isBetween | ( | $min, | |
| $max | |||
| ) |
| Predicate isEqual | ( | $arg | ) |
See Predicate::match().
| null | scalar | array | Closure | EntityInterface | Select | ValueInterface | $arg |
| Predicate isGt | ( | $arg | ) |
| Predicate isGte | ( | $arg | ) |
| Predicate isLt | ( | $arg | ) |
| Predicate isLte | ( | $arg | ) |
| Predicate isNot | ( | $arg | ) |
Null-safe type-strict inequality.
| null | scalar | EntityInterface | Select | ValueInterface | $arg |
| Predicate isNotBetween | ( | $min, | |
| $max | |||
| ) |
| Predicate isNotEqual | ( | $arg | ) |
$this <> $arg
or $this NOT IN ($arg)
| null | scalar | array | EntityInterface | Select | ValueInterface | $arg |
| Predicate isNotLike | ( | string | $pattern | ) |
| Predicate isNotRegExp | ( | string | $pattern | ) |
| Predicate isRegExp | ( | string | $pattern | ) |
| Branch switch | ( | array | $values = [] | ) |
CASE $this ...
END
If $values
are given, the keys are quoted as literal values.
Omit
$values
and use Branch::when() if you need expressions for theWHEN
clause.
| array | $values | [when => then] |


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@import views.AuthForView @import views.html.Main @()(implicit rh: RequestHeader) @Main("This service is shuttered", AuthForView.isAuthenticated(rh), AuthForView.isOrgUser(rh)) {
This service is currently not available, please check back later.


Hello, I'm Dulcetti
I'm a Front-End developer and work with React, React Native, Angular, AngularJS, ES6, CSS3, HTML5, UX and others technologies.
I'm a Front-End developer and work with React, React Native, Angular, AngularJS, ES6, CSS3, HTML5, UX and others technologies.


| Name | Description |
|---|---|
| icontext | Invalid / Unknown SCE context |
| iequirks | IE<11 in quirks mode is unsupported |
| imatcher | Invalid matcher (only string patterns and RegExp instances are supported) |
| insecurl | Processing of a Resource from Untrusted Source Blocked |
| itype | String Value is Required for SCE Trust Call |
| iwcard | The sequence *** is not a valid pattern wildcard |
| unsafe | Require a safe/trusted value |


changes
Returns the number of rows that were changed by the most
recent SQL statement. Or Nil if the database is closed.
close
Closes the database if it is open. Returns self. If the database is open when the open is garbage collected, it will be automatically closed.
columnNamesOfTable(tableName)
Returns a list containing the names of all columns in the specified table.
debugOff
Turns off debugging.
debugOn
Turns on debugging.
error
Results a string containing the current error. If there is no error, Nil is returned.
escapeString(aString)
Returns a translated version of aString by making two copies of
every single-quote (') character. This has the effect of escaping the
end-of-string meaning of single-quote within a string literal.
exec(aString)
Opens the database if it is not already open and executes
aString as an sql command. Results a List of Map objects or Nil if
there was an error. Each map holds the contents of a row.
The key/value pairs of the maps being column name/column value
pairs for a row.
isOpen
Returns true if the database is open, false otherwise.
lastInsertRowId
Returns the number with the row id of the last row inserted.
open(optionalPathString)
Opens the database. If there is an optionalPathString argument,
the path is set to it's value before opening the database. If path is "" or ":memory:"
a database will be created in-memory, otherwise the file specified by path is opened.
Returns self or Nil upon failure.
If the databse is locked, "yield" will be called until it is accessable or
timeoutSeconds has expired. ""
path
Returns the path to the database file.
setPath
Sets the path to the database file. Returns self.
setTimeoutSeconds(aNumber)
Sets the open timeout to aNumber. If aNumber is 0, an open
call will never timeout. Returns self.
tableNames
Returns a list containing the names of all tables in the database.
timeoutSeconds
Returns the number of seconds to wait before timing out an
open call. If the number is 0, an open call will never timeout.
version
Results a string the version of SQLite being used.
viewNames
Returns a list containing the names of all
views in the database.
|


|
PyFlow
|
AGraphCommon.py is a common definitions file More...
Classes | |
| class | PyFlow.Core.AGraphCommon.REGISTER_ENUM |
| class | PyFlow.Core.AGraphCommon.DataTypes |
| Data types identifires. More... | |
| class | PyFlow.Core.AGraphCommon.asynchronous |
| class | PyFlow.Core.AGraphCommon.asynchronous.NotYetDoneException |
| class | PyFlow.Core.AGraphCommon.asynchronous.Result |
| class | PyFlow.Core.AGraphCommon.CircularBuffer |
| Circular buffer container class. More... | |
| class | PyFlow.Core.AGraphCommon.PinSelectionGroup |
| Used in PyFlow.AbstractGraph.NodeBase.getPinByName for optimization purposes. More... | |
| class | PyFlow.Core.AGraphCommon.AccessLevel |
| Can be used for code generation. More... | |
| class | PyFlow.Core.AGraphCommon.PinDirection |
| Determines wheter it is input pin or output. More... | |
| class | PyFlow.Core.AGraphCommon.NodeTypes |
| Determines wheter it is callable node or pure. More... | |
| class | PyFlow.Core.AGraphCommon.Direction |
| Direction identifires. More... | |
Functions | |
| def | PyFlow.Core.AGraphCommon.lerp (start, end, alpha) |
| Performs a linear interpolation. More... | |
| def | PyFlow.Core.AGraphCommon.clamp (n, vmin, vmax) |
| Computes the value of the first specified argument clamped to a range defined by the second and third specified arguments. More... | |
| def | PyFlow.Core.AGraphCommon.roundup (x, to) |
| Rounding up to sertain value.Used in grid snapping. More... | |
| def | PyFlow.Core.AGraphCommon.pinAffects (affects_pin, affected_pin) |
| This function for establish dependencies bitween pins. More... | |
| def | PyFlow.Core.AGraphCommon.cycle_check (src, dst) |
| Check for cycle connected nodes. More... | |
| def | PyFlow.Core.AGraphCommon.push (start_from) |
| marks dirty all ports from start to the right this part of graph will be recomputed every tick More... | |
| def | PyFlow.Core.AGraphCommon.clearLayout (layout) |
| This function clears property view's layout. More... | |
| def | PyFlow.Core.AGraphCommon.memoize (foo) |
| Decorator from Python decorator library More... | |
| def | PyFlow.Core.AGraphCommon.getDataTypeName (inValue) |
| Returns string representation of the data type identifier See DataTypes. More... | |
Variables | |
| float | PyFlow.Core.AGraphCommon.FLOAT_SINGLE_STEP = 0.01 |
| determines step for all floating point input widgets | |
| int | PyFlow.Core.AGraphCommon.FLOAT_DECIMALS = 10 |
| determines floating precision | |
| float | PyFlow.Core.AGraphCommon.FLOAT_RANGE_MIN = 0.1 + (-sys.maxint - 1.0) |
| determines floating minimum value | |
| float | PyFlow.Core.AGraphCommon.FLOAT_RANGE_MAX = sys.maxint + 0.1 |
| determines floating maximum value | |
| int | PyFlow.Core.AGraphCommon.INT_RANGE_MIN = -sys.maxint + 0 |
| determines int minimum value | |
| int | PyFlow.Core.AGraphCommon.INT_RANGE_MAX = sys.maxint + 0 |
| determines int maximum value | |
AGraphCommon.py is a common definitions file
this file is imported in almost all others files of the program
| def PyFlow.Core.AGraphCommon.clamp | ( | n, | |
| vmin, | |||
| vmax | |||
| ) |
Computes the value of the first specified argument clamped to a range defined by the second and third specified arguments.
| [in] | n | |
| [in] | vmin | |
| [in] | vmax |
| def PyFlow.Core.AGraphCommon.clearLayout | ( | layout | ) |
This function clears property view's layout.
| [in] | layout | QLayout class |
| def PyFlow.Core.AGraphCommon.cycle_check | ( | src, | |
| dst | |||
| ) |
Check for cycle connected nodes.
| [in] | src | pin |
| [in] | dst | pin |
| def PyFlow.Core.AGraphCommon.getDataTypeName | ( | inValue | ) |
Returns string representation of the data type identifier See DataTypes.
| [in] | data | type identifier (int) |
| def PyFlow.Core.AGraphCommon.lerp | ( | start, | |
| end, | |||
| alpha | |||
| ) |
Performs a linear interpolation.
| [in] | start | the value to interpolate from |
| [in] | end | the value to interpolate to |
| [in] | alpha | how far to interpolate |
| def PyFlow.Core.AGraphCommon.memoize | ( | foo | ) |
Decorator from Python decorator library
| [in] | foo | function to memorize |
| def PyFlow.Core.AGraphCommon.pinAffects | ( | affects_pin, | |
| affected_pin | |||
| ) |
This function for establish dependencies bitween pins.
| [in] | affects_pin | this pin affects other pins |
| [in] | affected_pin | this pin affected by other pin |
| def PyFlow.Core.AGraphCommon.push | ( | start_from | ) |
marks dirty all ports from start to the right this part of graph will be recomputed every tick
| [in] | start_from | pin from which recursion begins |
| def PyFlow.Core.AGraphCommon.roundup | ( | x, | |
| to | |||
| ) |
Rounding up to sertain value.Used in grid snapping.
| [in] | x | value to round |
| [in] | to | value x will be rounded to |


/*/*/ Coroutines in Lua
What is a coroutine?
Coroutines are like functions. They start a little bit the same way. However, inside one, you'll eventually hit upon a statement such as 'yield'! The coroutine will store the place where it was, and give back control to the main running thread. Or another coroutine, too! You can then later resume it (and give a few extra arguments if needed) for it to do its other stuff.
This is obviously HUGE. Say you want Little Jimmy to say 'Alright' after Julia says 'The football is on that chair.'. Wouldn't it be nice if we kept the function for Jimmy's speech tidy in its own place, same for Julia? Make them coroutines. After one says something, yield control to the other, until the conversation is finished and we go on as usual.
Without coroutines, you have to be constantly keeping track of bigger and bigger state and constantly ask which one you're in. With coroutines, you need only to take care of yours and give/receive control.
Lua's Offering
With Lua, you first must create a coroutine with 'coroutine.create()', which you pass a function to. This can be any function of yours you made, or an anonymous function! Simply pass a definition of one in there.
routine = coroutine.create(function()
print("Hello fella!")
coroutine.yield()
print("I'm paul!")
end)
coroutine.resume(routine) -- "Hello fella!"
coroutine.resume(routine) -- "I'm paul!"
-- By this point, the coroutine is over. Attempting to resume it
will give you a nice old error you can additionally check for
with coroutine.status(your_routine)
Want to give the coroutine extra info once resumed? Pass stuff on your `coroutine.resume` and make values on the coroutines' end to recieve what `coroutine.yield()` will, well, yield! You think you can go bonkers with this power? You can. Just check out how someone made a task/signal system out of them!
More Info
Official Lua tutorial on their usage // Wikipedia's take on them // A C implementation using trickery!


Change Log
- Fixed a stack overflow error that appeared in Internet Explorer during multiple choice survey editing
- Modified line break handling in order to render line breaks in survey descriptions
- Implemented the "Allow more than one survey submission" setting
- Implemented the "Show Required Notation" setting
- "Show Required Notation" and "Allow Duplicate Responses" settings are now availiable from the Survey Listing settings section
- Fixed "TextBoxLengthIsValid is undefined" error
- Questions may no longer be created without selecting an answer type
- More details can be found on the Engage: Survey Change Log


Plays an Animation.
The animation should have previously been created via animations.add
.
 If you need to reset an already running animation do so directly on the Animation object itself or via AnimationManager.stop
.


A quarantine sideproject
Play chess against Brodie or Luis.
I'll be making more AI projects soon! Make sure to click the link below to get progress updates on upcoming projects


In the summers that aren't Bond-summers, we get the Bond-movies without Bond. Which is to say gadget movies, all the high-tech toys and death-defying leaps that'll fit into 2 hrs. Entrapment is all of this and more: it even has the original Bond--Sean Connery--playing high-stakes cat thief Mac. More or less the same veteran criminal-type role he had for The Rock, except this time he's starring opposite Catherine Zeta-Jones, insurance agent (Gin Baker), high-altitude acrobat, sharp dresser. The Bond-girl has to be all of this and more. Gin Baker is, and then some. But too, she has a day job, or, more specifically, an assignment: to gain Mac's confidence via assuming the role of fellow-thief, then turn him in. In a nutshell, this is Entrapment (and Donnie Brasco, and countless more). Granted, the technical difficulty-level of the robberies Mac and Gin attempt together does escalate, which is satisfying, and their relationship does flirt with intimacy, which is necessary, but, as the title suggests, that's not really what it's all going to be about. What it is all about is entrapment, defined in the trailer as what the law does to the unlawful. And whether honor among thieves applies or not. And who's entrapping whom in the first place. Ving Rhames is even in there somewhere, waltzing through his Mission Impossible role again.  Which is to say he never quite lets Entrapment get lost in its own gadgetry. Instead, he does another version of the same sleight-of-hand Raiders of the Lost Ark pulled off once and for all: he not only legitimizes the thief, he glorifies the thief. The thing is, if we don't have sympathy for the main character, if we don't want Indiana Jones to get away with the golden idol (and thus 'preserve' it), then the rest of the movie tends to fall apart. And there's many ways of legitimizing the theif. Absolute Power does it by essentially cleansing the (similarly) aging criminal's crime, making it petty in comparison to the crime he witnesses. Which creates a hierarchy of criminal acts, which succeeds in making the thief less a thief. Entrapment goes about it differently. What Mac steals is largely modern art, which the 'modern' world doesn't assign that much value in the first place. So, suddenly, petty larceny's the name of the game; nobody's starving as a result of Mac's crime habit. Add to this the fact that he's not stealing it to resell, but to ornament his Highlander- esque castle, and he's either a lonely gentleman addicted to the thrill of the game or a particularly debonair bachelor in need of interior decoration, either of which are forgivable. Where Entrapment breaks away from tradition--at least the Bond-type tradition--is that the narrative finally isn't hinged upon one final stunt that outdoes all previous stunts, but upon a man and a woman alone in a train station. This isn't The Jackal or The Saint, with little epilogues tacked on as an afterthought. Here, the epilogue is the final stunt. While that may not quite satisfy those who actually expect such developments in a movie, it does set Entrapment slightly above the usual Bond-replacement, which, in a Bond-less summer, might just be enough. (c) 1999 Stephen Graham Jones for more like this, check out http://www.cinemuck.com
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6. Class reference¶
6.1. Support Vector Machines¶
| svm.SVC([C, kernel, degree, gamma, coef0, ...]) | C-Support Vector Classification. |
| svm.LinearSVC([penalty, loss, dual, eps, C, ...]) | Linear Support Vector Classification. |
| svm.NuSVC([nu, kernel, degree, gamma, ...]) | Nu-Support Vector Classification. |
| svm.SVR([kernel, degree, gamma, coef0, ...]) | Support Vector Regression. |
| svm.NuSVR([nu, C, kernel, degree, gamma, ...]) | Nu Support Vector Regression. |
| svm.OneClassSVM([kernel, degree, gamma, ...]) | Unsupervised Outliers Detection. |
6.1.7. For sparse data¶
| svm.sparse.SVC([kernel, degree, gamma, ...]) | SVC for sparse matrices (csr). |
| svm.sparse.NuSVC([nu, kernel, degree, ...]) | NuSVC for sparse matrices (csr). |
| svm.sparse.SVR([kernel, degree, gamma, ...]) | SVR for sparse matrices (csr) |
| svm.sparse.NuSVR([nu, C, kernel, degree, ...]) | NuSVR for sparse matrices (csr) |
| svm.sparse.OneClassSVM([kernel, degree, ...]) | NuSVR for sparse matrices (csr) |
| svm.sparse.LinearSVC([penalty, loss, dual, ...]) | Linear Support Vector Classification, Sparse Version |
6.2. Generalized Linear Models¶
| linear_model.LinearRegression([fit_intercept]) | Ordinary least squares Linear Regression. |
| linear_model.Ridge([alpha, fit_intercept]) | Ridge regression. |
| linear_model.RidgeCV([alphas, ...]) | Ridge regression with built-in cross-validation. |
| linear_model.Lasso([alpha, fit_intercept]) | Linear Model trained with L1 prior as regularizer (aka the Lasso) |
| linear_model.LassoCV([eps, n_alphas, ...]) | Lasso linear model with iterative fitting along a regularization path |
| linear_model.ElasticNet([alpha, rho, ...]) | Linear Model trained with L1 and L2 prior as regularizer |
| linear_model.ElasticNetCV([rho, eps, ...]) | Elastic Net model with iterative fitting along a regularization path |
| linear_model.LARS([fit_intercept, verbose]) | Least Angle Regression model a.k.a. LAR |
| linear_model.LassoLARS([alpha, ...]) | Lasso model fit with Least Angle Regression a.k.a. LARS |
| linear_model.LogisticRegression([penalty, ...]) | Logistic Regression. |
| linear_model.SGDClassifier([loss, penalty, ...]) | Linear model fitted by minimizing a regularized empirical loss with SGD. |
| linear_model.SGDRegressor([loss, penalty, ...]) | Linear model fitted by minimizing a regularized empirical loss with SGD |
| linear_model.lasso_path(X, y[, eps, ...]) | Compute Lasso path with coordinate descent |
| linear_model.lars_path(X, y[, Xy, Gram, ...]) | Compute Least Angle Regression and LASSO path |
6.2.15. For sparse data¶
| linear_model.sparse.Lasso([alpha, fit_intercept]) | Linear Model trained with L1 prior as regularizer |
| linear_model.sparse.ElasticNet([alpha, rho, ...]) | Linear Model trained with L1 and L2 prior as regularizer |
| linear_model.sparse.SGDClassifier([loss, ...]) | Linear model fitted by minimizing a regularized empirical loss with SGD |
| linear_model.sparse.SGDRegressor([loss, ...]) | Linear model fitted by minimizing a regularized empirical loss with SGD |
6.3. Bayesian Regression¶
| linear_model.BayesianRidge([n_iter, eps, ...]) | Bayesian ridge regression |
| linear_model.ARDRegression([n_iter, eps, ...]) | Bayesian ARD regression. |
6.4. Naive Bayes¶
| naive_bayes.GNB() | Gaussian Naive Bayes (GNB) |
6.5. Nearest Neighbors¶
| neighbors.NeighborsClassifier([n_neighbors, ...]) | Classifier implementing k-Nearest Neighbor Algorithm. |
| neighbors.NeighborsRegressor([n_neighbors, ...]) | Regression based on k-Nearest Neighbor Algorithm. |
| ball_tree.BallTree | Ball Tree for fast nearest-neighbor searches : |
| neighbors.kneighbors_graph(X, n_neighbors[, ...]) | Computes the (weighted) graph of k-Neighbors for points in X |
| ball_tree.knn_brute(x, pt[, k]) | Brute-Force k-nearest neighbor search. |
6.6. Gaussian Mixture Models¶
| mixture.GMM([n_states, cvtype]) | Gaussian Mixture Model |
6.8. Clustering¶
| cluster.KMeans([k, init, n_init, max_iter, ...]) | K-Means clustering |
| cluster.MeanShift([bandwidth]) | MeanShift clustering |
| cluster.SpectralClustering([k, mode]) | Spectral clustering: apply k-means to a projection of the graph laplacian, finds normalized graph cuts. |
| cluster.AffinityPropagation([damping, ...]) | Perform Affinity Propagation Clustering of data |
6.9. Metrics¶
| metrics.euclidean_distances(X, Y[, ...]) | Considering the rows of X (and Y=X) as vectors, compute the |
| metrics.unique_labels | |
| metrics.confusion_matrix(y_true, y_pred[, ...]) | Compute confusion matrix to evaluate the accuracy of a classification |
| metrics.roc_curve(y, probas_) | compute Receiver operating characteristic (ROC) |
| metrics.auc(x, y) | Compute Area Under the Curve (AUC) using the trapezoidal rule |
| metrics.precision_score(y_true, y_pred[, ...]) | Compute the precision |
| metrics.recall_score(y_true, y_pred[, pos_label]) | Compute the recall |
| metrics.fbeta_score(y_true, y_pred, beta[, ...]) | Compute fbeta score |
| metrics.f1_score(y_true, y_pred[, pos_label]) | Compute f1 score |
| metrics.precision_recall_fscore_support(...) | Compute precisions, recalls, f-measures and support for each class |
| metrics.classification_report(y_true, y_pred) | Build a text report showing the main classification metrics |
| metrics.precision_recall_curve(y_true, ...) | Compute precision-recall pairs for different probability thresholds |
| metrics.r2_score(y_true, y_pred) | R^2 (coefficient of determination) regression score function |
| metrics.zero_one_score(y_true, y_pred) | Zero-One classification score |
| metrics.zero_one(y_true, y_pred) | Zero-One classification loss |
| metrics.mean_square_error(y_true, y_pred) | Mean square error regression loss |
6.10. Covariance Estimators¶
| covariance.Covariance([store_covariance]) | Basic covariance estimator |
| covariance.ShrunkCovariance([...]) | Covariance estimator with shrinkage |
| covariance.LedoitWolf([store_covariance]) | LedoitWolf Estimator |
| covariance.ledoit_wolf(X[, return_shrinkage]) | Estimates the shrunk Ledoit-Wolf covariance matrix. |
6.11. Signal Decomposition¶
| pca.PCA([n_components, copy, whiten]) | Principal component analysis (PCA) |
| pca.ProbabilisticPCA([n_components, copy, ...]) | |
| pca.RandomizedPCA(n_components[, copy, ...]) | Principal component analysis (PCA) using randomized SVD |
| fastica.FastICA([n_components, algorithm, ...]) | FastICA; a fast algorithm for Independent Component Analysis |
| fastica.fastica(X[, n_components, ...]) | Perform Fast Independent Component Analysis. |
6.12. Cross Validation¶
| cross_val.LeaveOneOut(n[, indices]) | Leave-One-Out cross validation iterator |
| cross_val.LeavePOut(n, p[, indices]) | Leave-P-Out cross validation iterator |
| cross_val.KFold(n, k[, indices]) | K-Folds cross validation iterator |
| cross_val.StratifiedKFold(y, k[, indices]) | Stratified K-Folds cross validation iterator |
| cross_val.LeaveOneLabelOut(labels[, indices]) | Leave-One-Label_Out cross-validation iterator |
| cross_val.LeavePLabelOut(labels, p[, indices]) | Leave-P-Label_Out cross-validation iterator |
6.13. Grid Search¶
| grid_search.GridSearchCV(estimator, param_grid) | Grid search on the parameters of a classifier |
6.14. Feature Selection¶
| feature_selection.rfe.RFE([estimator, ...]) | Feature ranking with Recursive feature elimination |
| feature_selection.rfe.RFECV([estimator, ...]) | Feature ranking with Recursive feature elimination and cross validation |
6.15. Feature Extraction¶
| feature_extraction.image.img_to_graph(img[, ...]) | Graph of the pixel-to-pixel gradient connections |
| feature_extraction.text.RomanPreprocessor | Fast preprocessor suitable for roman languages .. |
| feature_extraction.text.WordNGramAnalyzer([...]) | Simple analyzer: transform a text document into a sequence of word tokens |
| feature_extraction.text.CharNGramAnalyzer([...]) | Compute character n-grams features of a text document |
| feature_extraction.text.CountVectorizer(...) | Convert a collection of raw documents to a matrix of token counts |
| feature_extraction.text.TfidfTransformer([...]) | Transform a count matrix to a TF or TF-IDF representation |
| feature_extraction.text.Vectorizer(...) | Convert a collection of raw documents to a matrix |
6.15.8. For sparse data¶
| feature_extraction.text.sparse.TfidfTransformer([...]) | |
| feature_extraction.text.sparse.CountVectorizer(...) | Convert a collection of raw documents to a matrix of token counts |
| feature_extraction.text.sparse.Vectorizer(...) | Convert a collection of raw documents to a sparse matrix |
6.16. Pipeline¶
| pipeline.Pipeline(steps) | Pipeline of transforms with a final estimator |


General Information
I am currently looking for design work, also available for speaking gigs and similar engagements. If you have any questions, please don't hesitate to contact me!
Please only use phone contact fo urgent inquiries. Otherwise, Twitter and emails.


Sponsored by
Actual radio transcript released by the Chief of Naval Operations 10-10-95.
Station #1: Please divert your course 15 degrees to the North to
avoid a collision.
Station #2: Recommend you divert YOUR course 15 degrees to South
to avoid a collision.
Station #1: This is the Captain of a US Navy ship. I say again,
divert YOUR course.
Station #2: No.
Station #1.  DIVERT YOUR COURSE NOW!
Station #2. This is the Puget Sound lighthouse. It's your call.
Back to:
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{% extends 'base.html' %} {% import 'bootstrap/wtf.html' as wtf %} {% block content %}
What did you think of the pitch


MCX interface¶
This part of the documentation covers the public interface of mcx.
Interactions with the Model¶
-
mcx.
seed
(model: mcx.model.model, rng_key: jax.random.PRNGKey) → mcx.model.model¶ Set the random seed of the model.
-
class
mcx.
model
(fn: Callable)¶ Representation of a model.
Since it represents a probability graphical model, the model instance is a (multivariate) probability distribution, and as such inherits from the Distribution class. It implements the sample and logpdf methods.
Models are expressed as functions. The expression of the model within the function should be as close to the mathematical expression as possible. The only difference with standard python code is the use of the “@” operator for random variable assignments.
The models are then parsed into an internal graph representation that can be conditioned on data, compiled into a logpdf or a forward sampler. The result is pure functions that can be further JIT-compiled with JAX, differentiated and dispatched on GPUs and TPUs.
The graph can be inspected and modified at runtime.
- Parameters
model (A function that contains mcx model definition.) –
Examples
Let us define a linear model in 1 dimension. In mcx, models are expressed in their generative form, that is a function that transforms some (optional) input—data, parameters—and returns the result:
>>> import jax.numpy as np >>> import mcx >>> import mcx.distributions as dist >>> >>> def linear_model(X): ... weights @ dist.Normal(0, 1) ... sigma @ dist.Exponential(1) ... z = np.dot(X, weights) ... y @ Normal(z, sigma) ... return y
The symbol @ is used here does not stand for the matrix multiplication but for the assignment of a random variable. The model can then be instantiated by calling:
>>> model = mcx.model(linear_model)
Generative models are stochastic functions, you can call them like you would any function:
>>> model(1) -2.31
If you call it again, it will give you a different result:
>>> model(1) 1.57
We say that these results are drawn from the prior predictive distribution for x=1. More formally, \(P(y|weights, sigma, x=1)\). If you add the decorator @mcx.model on top of the function:
>>> @mcx.model ... def linear_model(X): ... weights @ dist.Normal(0, 1) ... sigma @ dist.Exponential(1) ... z = np.dot(X, weights) ... y @ Normal(z, sigma) ... return y
You can directly call the function:
>>> linear_model(1) 1.57
While this recompiles the graph at each call, the performance hit is not noticeable in practice.
Calling the function directly is useful for quick sanity check and debugging, but we often need a more complete view of the prior predictive distribution, or the forward sampling distribution of each parameter in the model:
>>> mcx.sample_forward(linear_model, x=1, num_samples=1000) {'weight': array([1, ....]), 'sigma': array([2.1, ...]), 'y': array([1.56, ...])}
This also works for an array input; standard broadcasting rules apply:
>>> mcx.sample_forward(linear_model, x=np.array([1, 2, 3]), num_samples=1000)
Unlike calling the model directly, this function JIT-compiles the forward sampler; if your machine has a GPU, it will automatically run on it. This should allow for quick iteration on the initial phase of the modeling process.
To explore the model, we can also use the “do” operator to fix the value of a random variable. This returns a copy of the model where all connections with the parent nodes have been removed:
>>> conditioned = linear_model.do(sigma=1000) ... conditioned(1) 435.7
‘mcx’ translates your model definition into a graph. This graph can be explored and modified at runtime. You can explore nodes:
>>> print(linear_model["weight"]) [should have distibution, plus info about distirbution]
And modify them:
>>> linear_model["weight"] = "dist.Normal(0, 4)"
Behind the scenes, mcx inspects the definition’s source code and translates it to a graph. Since mcx sticks closely to python’s syntax (in fact, only adds one construct), most of what you would do inside a function in Python is also valid in model definitions. For instance, complex transformations can be defined in functions that are called within the model:
>>> from utils import mult ... ... @mcx.model ... def linear_model(X): ... weights @ Normal(0, 1) ... sigma @ HalfNormal(0, 1) ... z = mult(X, weights) ... y @ Normal(z, sigma) ... return y
Models also implicitly define a multivariate distribution. Following PyMC4’s philosophy 2, we can use other models as distributions when defining a random variable. More precisely, what is meant by x @ linear_model(1) is “x is distributed according to \(P_{linear_model}(y|weights, sigma, x=1)\):
>>> from my_module import hyperprior ... ... @mcx.model ... def prior(a): ... s @ hyperprior() ... p @ dist.Normal(a,a) ... return p ... ... @mcx.model ... def linear_model(X): ... weights @ prior(1) ... sigma @ HalfNormal(0, 1) ... z = mult(X, weights) ... y @ Normal(z, sigma) ... return y
References
- 1
van de Meent, Jan-Willem, Brooks Paige, Hongseok Yang, and Frank Wood. “An introduction to probabilistic programming.” arXiv preprint arXiv:1809.10756 (2018).
- 2
Kochurov, Max, Colin Carroll, Thomas Wiecki, and Junpeng Lao. “PyMC4: Exploiting Coroutines for Implementing a Probabilistic Programming Framework.” (2019).


Chrome's DevTools enable web developers to effectively address problems with their code and fix it within the built-in editor.
Temporary changes to the HTML and CSS allow any web page creator to quickly view a structure or style edit without affecting
the original document.
In addition, the console enables the developer to easily spot errors within his/her script and
address them. The console provides the coder with the error type, file name, and line number.
This allows the script writer to quickly find and address the problem.
Google Chrome also includes a device view feature.
This allows the web site creator to easily view the web page on different screen sizes and devices and find problems with the adaptation.
Specifically, mobile view allows the creator to inspect the design on a mobile device and test the functionality of the site.
Overall, Chrome DevTools provide powerful and free tools to any web developer.
You should use it because it is great...
You should also use it because Google is awesome!


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{{post.date|date_to_long_string }}


We couldn't find the schedule for {{$ctrl.cur_date}}. A network error occured, make sure you're connected then RETRY.


Package
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Tree
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A
B
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A
addCoffee(int, int, int, ArrayList<Cargo>)
- Method in class
Graph
Add coffee shops to the graph
addEdge(Vertex, Vertex, int)
- Method in class
Vertex
Add edges to a vertex
addWarehouse(int, int, int, int, int)
- Method in class
Graph
Add warehouses to the graph
B
buildings
- Variable in class
Graph
C
calcTotalDistance()
- Method in class
Graph
Runs the main distance calculations
Cargo
- Class in
<Unnamed>
This class is responsible for holding the weight of a certain piece of cargo and returning it when necessary.
Cargo(int)
- Constructor for class
Cargo
Constructor for objects of class Graph
CargoTest
- Class in
<Unnamed>
The test class CargoTest.
CargoTest()
- Constructor for class
CargoTest
CoffeeShop
- Class in
<Unnamed>
CoffeeShop(int, int, int, int, ArrayList<Cargo>)
- Constructor for class
CoffeeShop
Constructor for objects of class CoffeeShop
CoffeeShopTest
- Class in
<Unnamed>
The test class CoffeeShopTest.
CoffeeShopTest()
- Constructor for class
CoffeeShopTest
D
dispatchTrucks()
- Method in class
Warehouse
dispatches all of the trucks a warehouse has and calculates distance travelled
E
e
- Variable in class
Vertex
Edge
- Class in
<Unnamed>
Write a description of class Edge here.
Edge(Vertex, Vertex, int)
- Constructor for class
Edge
Constructor for objects of class Graph
edges
- Variable in class
Vertex
EdgeTest
- Class in
<Unnamed>
The test class EdgeTest.
EdgeTest()
- Constructor for class
EdgeTest
ExperimentController
- Class in
<Unnamed>
This class is responsible for reading from a .txt file, adding in all the nodes, edges, and then printing out the closest neighbor in a breadth first order
ExperimentController()
- Constructor for class
ExperimentController
G
getCapacity()
- Method in class
Truck
This method returns the capacity so it can be used in another class
getCargo()
- Method in class
CoffeeShop
Gets the cargo list from the CoffeeShop
getEnd()
- Method in class
Edge
Gets the end node of the edge (where the edge is pointing to) so it can be used in another class
getID()
- Method in class
Vertex
get vertex ID
getIsDone()
- Method in class
Cargo
returns if a cargo order has been fulfiled so it can be used in another class
getIsDone()
- Method in class
CoffeeShop
Getter for isDone value
getShops()
- Method in class
Warehouse
gets all the shops in the given delivery radius of the warehouse and adds them to an array
getWeight()
- Method in class
Cargo
This method returns the weight of the piece of cargo so it can be used in another class
getWeight()
- Method in class
Edge
Gets the weight of the edge so it can be used in another class
getX()
- Method in class
Vertex
get x location
getY()
- Method in class
Vertex
get y location
Graph
- Class in
<Unnamed>
Write a description of class Graph here.
Graph(int, int)
- Constructor for class
Graph
Constructor for objects of class Graph
GraphTest
- Class in
<Unnamed>
The test class GraphTest.
GraphTest()
- Constructor for class
GraphTest
I
ID
- Variable in class
Vertex
M
main(String[])
- Static method in class
ExperimentController
Main method
P
planRoute()
- Method in class
Truck
This method plans the route of the truck and returns the distance it must travel
R
removeCargo(Cargo)
- Method in class
CoffeeShop
removes a cargo item from the CoffeeShop cargo list
removeCargo(int, int)
- Method in class
Warehouse
This methods "removes" a piece of cargo by making it's boolean value false
removeStore(int)
- Method in class
Warehouse
This method "removes" a store by making it's boolean value false
returnShops()
- Method in class
Warehouse
returns an array of all the shops
S
setIsDone(boolean)
- Method in class
Cargo
This method sets whether a cargo order has been fulfilled or not
setIsDone(boolean)
- Method in class
CoffeeShop
Set whever the CoffeeShop is complete
subtractCapacity(int)
- Method in class
Truck
This method subtracts the total capacity by the amount designated in the paramter
T
testAddCoffee1()
- Method in class
GraphTest
testAddCoffee2()
- Method in class
GraphTest
testAddCoffee3()
- Method in class
GraphTest
testAddCoffee4()
- Method in class
GraphTest
testAddEdge1()
- Method in class
VertexTest
Tests to make sure the number of edges added in is correct (few shops) (shops arraylist is collected from the edges array)
testAddEdge2()
- Method in class
VertexTest
Tests to make sure the number of edges added in is correct (many shops) (shops arraylist is collected from the edges array)
testAddWarehouse1()
- Method in class
GraphTest
testAddWarehouse2()
- Method in class
GraphTest
testConstructor1()
- Method in class
GraphTest
testConstructor2()
- Method in class
GraphTest
testConstructorCargo1()
- Method in class
CoffeeShopTest
testConstructorCargo2()
- Method in class
CoffeeShopTest
testConstructorCargo3()
- Method in class
CoffeeShopTest
testGetCapacity()
- Method in class
TruckTest
Tests that the Truck returns the proper capacity
testGetEnd()
- Method in class
EdgeTest
testGetID()
- Method in class
VertexTest
testGetShops1()
- Method in class
WarehouseTest
Tests to make sure the number of shops added is correct (few shops)
testGetShops2()
- Method in class
WarehouseTest
Tests to make sure the number of shops added is correct (many shops)
testGetWeight()
- Method in class
CargoTest
Tests to make sure the Cargo returns the correct weight
testGetWeight()
- Method in class
EdgeTest
testSubtractCapacity()
- Method in class
TruckTest
Test that the Truck subtracts the capacity properly
testX()
- Method in class
VertexTest
testY()
- Method in class
VertexTest
Truck
- Class in
<Unnamed>
Truck(int, Warehouse)
- Constructor for class
Truck
Constructor for objects of class Graph
TruckTest
- Class in
<Unnamed>
The test class TruckTest.
TruckTest()
- Constructor for class
TruckTest
V
Vertex
- Class in
<Unnamed>
Write a description of class Vertex here.
Vertex(int, int, int, int)
- Constructor for class
Vertex
Constructor for objects of class Vertex
VertexTest
- Class in
<Unnamed>
The test class VertexTest.
VertexTest()
- Constructor for class
VertexTest
W
Warehouse
- Class in
<Unnamed>
Warehouse(int, int, int, int, int, int)
- Constructor for class
Warehouse
Constructor for objects of class Warehouse
warehouses
- Variable in class
Graph
WarehouseTest
- Class in
<Unnamed>
The test class WarehouseTest.
WarehouseTest()
- Constructor for class
WarehouseTest
X
x
- Variable in class
Vertex
Y
y
- Variable in class
Vertex
A
B
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This Bible contradiction is from the Skeptic's Annotated Bible.
Verses
Yes.
Genesis 22:2 View context
And he said, Take now thy son, thine only [son] Isaac, whom thou lovest, and get thee into the land of Moriah; and offer him there for a burnt offering upon one of the mountains which I will tell thee of.
Exodus 22:29 View context
Thou shalt not delay [to offer] the first of thy ripe fruits, and of thy liquors: the firstborn of thy sons shalt thou give unto me.
Leviticus 27:28-29 View context
Notwithstanding no devoted thing, that a man shall devote unto the LORD of all that he hath, [both] of man and beast, and of the field of his possession, shall be sold or redeemed: every devoted thing [is] most holy unto the LORD.
None devoted, which shall be devoted of men, shall be redeemed; [but] shall surely be put to death.
Judges 11:29-40 View context
Then the Spirit of the LORD came upon Jephthah, and he passed over Gilead, and Manasseh, and passed over Mizpeh of Gilead, and from Mizpeh of Gilead he passed over [unto] the children of Ammon.
And Jephthah vowed a vow unto the LORD, and said, If thou shalt without fail deliver the children of Ammon into mine hands,
Then it shall be, that whatsoever cometh forth of the doors of my house to meet me, when I return in peace from the children of Ammon, shall surely be the LORD'S, and I will offer it up for a burnt offering.
So Jephthah passed over unto the children of Ammon to fight against them; and the LORD delivered them into his hands.
And he smote them from Aroer, even till thou come to Minnith, [even] twenty cities, and unto the plain of the vineyards, with a very great slaughter. Thus the children of Ammon were subdued before the children of Israel.
And Jephthah came to Mizpeh unto his house, and, behold, his daughter came out to meet him with timbrels and with dances: and she [was his] only child; beside her he had neither son nor daughter.
And it came to pass, when he saw her, that he rent his clothes, and said, Alas, my daughter! thou hast brought me very low, and thou art one of them that trouble me: for I have opened my mouth unto the LORD, and I cannot go back.
And she said unto him, My father, [if] thou hast opened thy mouth unto the LORD, do to me according to that which hath proceeded out of thy mouth; forasmuch as the LORD hath taken vengeance for thee of thine enemies, [even] of the children of Ammon.
And she said unto her father, Let this thing be done for me: let me alone two months, that I may go up and down upon the mountains, and bewail my virginity, I and my fellows.
And he said, Go. And he sent her away [for] two months: and she went with her companions, and bewailed her virginity upon the mountains.
And it came to pass at the end of two months, that she returned unto her father, who did with her [according] to his vow which he had vowed: and she knew no man. And it was a custom in Israel,
[That] the daughters of Israel went yearly to lament the daughter of Jephthah the Gileadite four days in a year.
2 Samuel 21:1 View context
Then there was a famine in the days of David three years, year after year; and David enquired of the LORD. And the LORD answered, [It is] for Saul, and for [his] bloody house, because he slew the Gibeonites.
1 Kings 13:2 View context
And he cried against the altar in the word of the LORD, and said, O altar, altar, thus saith the LORD; Behold, a child shall be born unto the house of David, Josiah by name; and upon thee shall he offer the priests of the high places that burn incense upon thee, and men's bones shall be burnt upon thee.
2 Kings 23:20 View context
And he slew all the priests of the high places that [were] there upon the altars, and burned men's bones upon them, and returned to Jerusalem.
2 Chronicles 34:1-5 View context
Josiah [was] eight years old when he began to reign, and he reigned in Jerusalem one and thirty years.
And he did [that which was] right in the sight of the LORD, and walked in the ways of David his father, and declined [neither] to the right hand, nor to the left.
For in the eighth year of his reign, while he was yet young, he began to seek after the God of David his father: and in the twelfth year he began to purge Judah and Jerusalem from the high places, and the groves, and the carved images, and the molten images.
And they brake down the altars of Baalim in his presence; and the images, that [were] on high above them, he cut down; and the groves, and the carved images, and the molten images, he brake in pieces, and made dust [of them], and strowed [it] upon the graves of them that had sacrificed unto them.
And he burnt the bones of the priests upon their altars, and cleansed Judah and Jerusalem.
No.
Leviticus 18:21 View context
And thou shalt not let any of thy seed pass through [the fire] to Molech, neither shalt thou profane the name of thy God: I [am] the LORD.
Leviticus 20:2 View context
Again, thou shalt say to the children of Israel, Whosoever [he be] of the children of Israel, or of the strangers that sojourn in Israel, that giveth [any] of his seed unto Molech; he shall surely be put to death: the people of the land shall stone him with stones.
Deuteronomy 18:10 View context
There shall not be found among you [any one] that maketh his son or his daughter to pass through the fire, [or] that useth divination, [or] an observer of times, or an enchanter, or a witch,
2 Kings 21:6 View context
And he made his son pass through the fire, and observed times, and used enchantments, and dealt with familiar spirits and wizards: he wrought much wickedness in the sight of the LORD, to provoke [him] to anger.


John of Baggeham informs William de Briouze Jnr and William de Briouze Snr, and Mary de Briouze of William Cragh and Trahaearn's death
More...


The Reserve Wines from Our Vineyard
2 times a year, Hellenic Wine Club members receive 2 or 4 bottles of the "Reserve" wines, carefully selected by our Winemaker, Jaques St. Jean.
In addition to receiving our Reserve wines, members are invited to exclusive club events, including harvest parties, Winemaker dinners, and member-only concerts in our Walla Walla vineyard.
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Resource Management in eScience
eScience is carried out using various resources
like computational servers, data and sensors. Crypto currency
based tokens can be used to implement economy based resource
allocation schemes. Sharing and exchange of
distributed resource usages from various organizations can be
facilitated by using crypto currency tokens and smart contracts,
hence, leading to realization of sharing economy in the eScience
research community.
DAO based Virtual Research Environment
Distributed Autonomous Organizations (
DAOs
) for
Virtual Research Environments can be developed that run continuously
on the blockchain even after the research projects are completed, hence,
making it possible to have longer lasting, more sustainable organizations
for Virtual Research Environments. Scalability can also be achieved
both in terms of having more researchers in each organization and also
in terms of being able to establish higher numbers of organizations.
Smart Contracts for eScience
Open (free) standardized and/or template
smart contracts for various
virtual organizations and various entities such as software, sensors,
servers, data, internet of things can be developed. Tools for
establishing / proving correctness
of smart contracts can be developed. Also, smart contract
programming languages especially for eScience can be developed.
e-Skills/Professional Network
Blockchain provides an excellent medium for
recording certifications of e-skills acquired by individuals.
For example, certifications of courses, trainings and programs
completed can be recorded and notarized on the blockchain.
Data on the blockchain can be analyzed/mined to get a
global picture of workforce availability for various e-skills
at any moment of time.
Search engines can be built on top of the blockchain data
to locate individuals with required skills.


| Package | TC | CC | AC | Ca | Ce | A | I | D | V |
|---|---|---|---|---|---|---|---|---|---|
| org.mybatis.logging | 2 | 2 | 0 | 0 | 3 | 0.0% | 100.0% | 0.0% | 1 |
| org.mybatis.spring | 6 | 6 | 0 | 4 | 17 | 0.0% | 81.0% | 19.0% | 1 |
| org.mybatis.spring.annotation | 2 | 0 | 2 | 0 | 2 | 100.0% | 100.0% | 100.0% | 1 |
| org.mybatis.spring.batch | 2 | 2 | 0 | 1 | 10 | 0.0% | 91.0% | 9.0% | 1 |
| org.mybatis.spring.batch.builder | 3 | 3 | 0 | 0 | 5 | 0.0% | 100.0% | 0.0% | 1 |
| org.mybatis.spring.config | 2 | 2 | 0 | 0 | 10 | 0.0% | 100.0% | 0.0% | 1 |
| org.mybatis.spring.mapper | 3 | 3 | 0 | 1 | 14 | 0.0% | 93.0% | 7.0% | 1 |
| org.mybatis.spring.support | 1 | 0 | 1 | 1 | 4 | 100.0% | 80.0% | 80.0% | 1 |
| org.mybatis.spring.transaction | 1 | 1 | 0 | 0 | 6 | 0.0% | 100.0% | 0.0% | 1 |
| Afferent Couplings | Efferent Couplings | Abstractness | Instability | Distance |
|---|---|---|---|---|
| 0 | 3 | 0.0% | 100.0% | 0.0% |
| Abstract Classes | Concrete Classes | Used by Packages | Uses Packages |
|---|---|---|---|
| None | org.mybatis.logging.Logger org.mybatis.logging.LoggerFactory |
None | java.lang java.util.function org.apache.ibatis.logging |
| Afferent Couplings | Efferent Couplings | Abstractness | Instability | Distance |
|---|---|---|---|---|
| 4 | 17 | 0.0% | 81.0% | 19.0% |
| Abstract Classes | Concrete Classes | Used by Packages | Uses Packages |
|---|---|---|---|
| None | org.mybatis.spring.MyBatisExceptionTranslator org.mybatis.spring.MyBatisSystemException org.mybatis.spring.SqlSessionHolder org.mybatis.spring.SqlSessionTemplate org.mybatis.spring.SqlSessionTemplate$1 org.mybatis.spring.SqlSessionTemplate$SqlSessionInterceptor |
org.mybatis.spring.batch org.mybatis.spring.batch.builder org.mybatis.spring.mapper org.mybatis.spring.support |
java.lang java.lang.reflect java.sql java.util javax.sql org.apache.ibatis.cursor org.apache.ibatis.exceptions org.apache.ibatis.mapping org.apache.ibatis.reflection org.apache.ibatis.session org.springframework.beans.factory org.springframework.dao org.springframework.dao.support org.springframework.jdbc.support org.springframework.transaction org.springframework.transaction.support org.springframework.util |
| Afferent Couplings | Efferent Couplings | Abstractness | Instability | Distance |
|---|---|---|---|---|
| 0 | 2 | 100.0% | 100.0% | 100.0% |
| Abstract Classes | Concrete Classes | Used by Packages | Uses Packages |
|---|---|---|---|
| org.mybatis.spring.annotation.MapperScan org.mybatis.spring.annotation.MapperScans |
None | None | java.lang java.lang.annotation |
| Afferent Couplings | Efferent Couplings | Abstractness | Instability | Distance |
|---|---|---|---|---|
| 1 | 10 | 0.0% | 91.0% | 9.0% |
| Abstract Classes | Concrete Classes | Used by Packages | Uses Packages |
|---|---|---|---|
| None | org.mybatis.spring.batch.MyBatisCursorItemReader org.mybatis.spring.batch.MyBatisPagingItemReader |
org.mybatis.spring.batch.builder |
java.lang java.util java.util.concurrent org.apache.ibatis.cursor org.apache.ibatis.session org.mybatis.spring org.springframework.batch.item.database org.springframework.batch.item.support org.springframework.beans.factory org.springframework.util |
| Afferent Couplings | Efferent Couplings | Abstractness | Instability | Distance |
|---|---|---|---|---|
| 0 | 5 | 0.0% | 100.0% | 0.0% |
| Abstract Classes | Concrete Classes | Used by Packages | Uses Packages |
|---|---|---|---|
| None | org.mybatis.spring.batch.builder.MyBatisBatchItemWriterBuilder org.mybatis.spring.batch.builder.MyBatisCursorItemReaderBuilder org.mybatis.spring.batch.builder.MyBatisPagingItemReaderBuilder |
None | java.lang java.util org.apache.ibatis.session org.mybatis.spring org.mybatis.spring.batch |
| Afferent Couplings | Efferent Couplings | Abstractness | Instability | Distance |
|---|---|---|---|---|
| 0 | 10 | 0.0% | 100.0% | 0.0% |
| Abstract Classes | Concrete Classes | Used by Packages | Uses Packages |
|---|---|---|---|
| None | org.mybatis.spring.config.MapperScannerBeanDefinitionParser org.mybatis.spring.config.NamespaceHandler |
None | java.lang org.mybatis.spring.mapper org.springframework.beans org.springframework.beans.factory.config org.springframework.beans.factory.support org.springframework.beans.factory.xml org.springframework.context org.springframework.core.io org.springframework.util org.w3c.dom |
| Afferent Couplings | Efferent Couplings | Abstractness | Instability | Distance |
|---|---|---|---|---|
| 1 | 14 | 0.0% | 93.0% | 7.0% |
| Abstract Classes | Concrete Classes | Used by Packages | Uses Packages |
|---|---|---|---|
| None | org.mybatis.spring.mapper.ClassPathMapperScanner$1 org.mybatis.spring.mapper.MapperFactoryBean org.mybatis.spring.mapper.MapperScannerConfigurer |
org.mybatis.spring.config |
java.lang java.util org.apache.commons.logging org.apache.ibatis.executor org.apache.ibatis.session org.mybatis.spring org.mybatis.spring.support org.springframework.beans org.springframework.beans.factory org.springframework.beans.factory.config org.springframework.beans.factory.support org.springframework.context org.springframework.core.type.filter org.springframework.util |
| Afferent Couplings | Efferent Couplings | Abstractness | Instability | Distance |
|---|---|---|---|---|
| 1 | 4 | 100.0% | 80.0% | 80.0% |
| Abstract Classes | Concrete Classes | Used by Packages | Uses Packages |
|---|---|---|---|
| org.mybatis.spring.support.SqlSessionDaoSupport |
None | org.mybatis.spring.mapper |
org.apache.ibatis.session org.mybatis.spring org.springframework.dao.support org.springframework.util |
| Afferent Couplings | Efferent Couplings | Abstractness | Instability | Distance |
|---|---|---|---|---|
| 0 | 6 | 0.0% | 100.0% | 0.0% |
| Abstract Classes | Concrete Classes | Used by Packages | Uses Packages |
|---|---|---|---|
| None | org.mybatis.spring.transaction.SpringManagedTransactionFactory |
None | java.lang java.sql java.util javax.sql org.apache.ibatis.session org.apache.ibatis.transaction |
| Term | Description |
|---|---|
| Number of Classes | The number of concrete and abstract classes (and interfaces) in the package is an indicator of the extensibility of the package. |
| Afferent Couplings | The number of other packages that depend upon classes within the package is an indicator of the package's responsibility. |
| Efferent Couplings | The number of other packages that the classes in the package depend upon is an indicator of the package's independence. |
| Abstractness | The ratio of the number of abstract classes (and interfaces) in the analyzed package to the total number of classes in the analyzed package. The range for this metric is 0 to 1, with A=0 indicating a completely concrete package and A=1 indicating a completely abstract package. |
| Instability | The ratio of efferent coupling (Ce) to total coupling (Ce / (Ce + Ca)). This metric is an indicator of the package's resilience to change. The range for this metric is 0 to 1, with I=0 indicating a completely stable package and I=1 indicating a completely instable package. |
| Distance | The perpendicular distance of a package from the idealized line A + I = 1. This metric is an indicator of the package's balance between abstractness and stability. A package squarely on the main sequence is optimally balanced with respect to its abstractness and stability. Ideal packages are either completely abstract and stable (x=0, y=1) or completely concrete and instable (x=1, y=0). The range for this metric is 0 to 1, with D=0 indicating a package that is coincident with the main sequence and D=1 indicating a package that is as far from the main sequence as possible. |
| Cycles | Packages participating in a package dependency cycle are in a deadly embrace with respect to reusability and their release cycle. Package dependency cycles can be easily identified by reviewing the textual reports of dependency cycles. Once these dependency cycles have been identified with JDepend, they can be broken by employing various object-oriented techniques. |


Dear {{ contact.firstName}} {{ contact.lastName}},
Thank you for reaching out, we will contact you soon regarding your concerns!
The informations that you provided are below:
Subject: {{ contact.subject }}
Email: {{ contact.email }}
Phone Number: {{ contact.phone }}
Address: {{ contact.address }}, {{ contact.city }}, {{ contact.state }}, {{ contact.zip }}, {{ contact.country}}
Comments: {{ contact.comments }}
Have fun with Xcel!
Sincerely,
The Xcel Team


Survey Questions
About You
Name (Required)
Link to Photo Image (Required)
Question 1
You despise long walks on the beach.
Question 2
The Notebook is a comedy.
Question 3
You would rather drink a beer than a wine.
Question 4
The Office is the best show ever.
Question 5
Boston Red Sox over the New York Yankees.
Question 6
Donald Trump is a horrible human being.
Question 7
Dogs > Cats.
Question 8
The moon landing is a conspiracy.
Question 9
Seinfeld is overrated.
Question 10
The University of Miami's 2001 National Championship team was the greatest college football team in
history.


[1]
it either on the website or on the national reservations number due to a system outage .
[2]
the first words out of his mouth to my friend were ``/`` how are you feeling .


MyWay: a Visualization Tool for Anormal Driving Style Detection
By Ketian XU
Data Source:
You have selected:


commands package
Submodules
commands.createtask module
- class commands.createtask.CreateTask[source]
Bases:
object
This class handles the Create Task functionality.
- base_create_task_block_format = {'text': {'text': '>{greeting}! Your task SP-{id} was created successfully.', 'type': 'mrkdwn'}, 'type': 'section'}
- create_task(desc, points, deadline)[source]
Creates a task in database and returns payload with success message along with the newly created Task ID
- Parameters
desc (str) – Description of task
points (int) – Points of task
deadline (Date) – Deadline of task
- Raise
- Returns
Blocks list of response payload
- Return type
list
- create_task_input_blocks()[source]
Create blocks list containing input fields for description, deadline, points of a task, along with a button to create the task
- Param
- Type
- Raise
- Returns
Blocks list
- Return type
list
- greetings = ['Awesome', 'Great', 'Congratulations', 'Well done', "Let's go"]
commands.help module
- class commands.help.Help[source]
Bases:
object
This class handles the Help functionality.
- command_help = {'text': {'text': '{command_help}', 'type': 'mrkdwn'}, 'type': 'section'}
- commands_dictionary = {}
commands.leaderboard module
- class commands.leaderboard.Leaderboard[source]
Bases:
object
This class handles the Create Leaderboard functionality.
- base_leaderboard_block_format = {'text': {'text': '{pos}. <@{userid}> has {points} points!', 'type': 'mrkdwn'}, 'type': 'section'}
- view_leaderboard(top_k: int = 5) dict [source]
Generates leaderboard according to the highest points scorers, returns top five contenders from DB
- Parameters
top_k (int) – Provision to generate top k contenders in leaderboard, default value: 5
- Raise
- Returns
Payload object containing details about the top 5 contenders of SlackPoint
- Return type
dict[str, Any]
commands.taskdone module
- class commands.taskdone.TaskDone(data)[source]
Bases:
object
This class handles the Task Completion functionality.
commands.viewpoints module
- class commands.viewpoints.ViewPoints(progress: float = 0.0)[source]
Bases:
object
This class is used to view a list of tasks on the slack bot as per their progress.
- base_point_block_format = {'text': {'text': '>SP-{id} ({points} SlackPoints) {description} [Deadline: {deadline}]', 'type': 'mrkdwn'}, 'type': 'section'}


To get your own copy either fork it or run this:
wget https://github.com/vrillusions/template-website/archive/master.tar.gz
Makes use of picnic css. Go there to see everything you can do.


Use the Development version to develop with and learn from. Then, when you’re ready for production, use the build tool below to pick only the tests you need.
{% endblock %}
{% block content_secondary %}
{% include 'modernizr/community.html' %}
{% include 'modernizr/latest-news.html' %}
{% endblock %}


Jonathan Lange, a 26yr old man presented to The Emergency Department of The Royal North Shore Hospital because he walked into a glass door and cut his neck this evening. He has a superficial lac to the L side of his neck. In our Department he was given ADT, and was discharged home.Emphasis mine.
Kind Regards, etc.
And yes, I'm fine.
Glad you're OK.
Mary, yes, it was entirely shattered. We had to replace it immediately since shards of glass sticking out from doorframes are not conducive to household peace of mind.
And I honestly did walk into it. No unusual force at all.
So you walked into it hard enough to smash it?


Iran remains fourth n Futsal World Rankings
by Mir Farhad Ali KhanTasnim – TEHRAN, The Iranian national futsal team remained in fourth place in the latest Futsal World Ranking.
Brazil and Spain are first and second with 1839 and 1785 points, respectively.
Russia is third with 1670 points, followed by Iran with 1644.
Iran completed its AFC Futsal Championship Turkmenistan 2020 Qualifiers for the South & Central Zones as group winner after two wins over Turkmenistan and Kyrgyz Republic in Oroumiyeh in October.
Iran finished third at the FIFA Futsal World Cup Colombia 2016 after a 4-3 penalty shootout win over Portugal following a 2-2 draw.


WITNESS LIST County Affairs Committee March 26, 1997-8:00A HB 236Committee Substitute (Chisum) For: Lee, Donald (Conference of Urban Co.) HB 404Committee Substitute (Chisum) For: West, George (Buddy) (Himself) HB 1532 For: Norstrom, Janet (Harris Co Auditors ofc) Woolley, Beverly (Herself) Registering, but not testifying: For: Rentz, Rebecca (Harris Co. Judge Eckels) HB 2071 For: Gutierrez, Roberto (Himself) Reeves, Billy H. (J.P.& Constables Assoc.) On: Green, Wayne (TCLEOSE) HB 2083 For: Hilderbran, Harvey (Himself) Smith, Kevin (Burnet Co. Auditor) HB 2277 For: Chisum, Warren (Himself) HB 2302 For: Hamric, Peggy (Herself) Norstrom, Janet (Harris Co. Auditors ofc) Registering, but not testifying: For: Rentz, Rebecca (Harris Co Judge Eckels) HB 2920 Committee Substitute (Lewis, Glenn) For: Elmore, Victor J. (Dallas Historical Fdtn) Hodge, Terri (Herself) Pardue, Craig (Dallas County) West, Jeff V. (Dallas Historical Fdtn) HB 3266 For: Craddick, Tom (Himself) HB 3456 Committee Substitute (Lewis, Glenn) For: Chisum, Warren (Himself) HB 3457 Committee Substitute (Lewis, Ron) For: Chisum, Warren (Himself) HJR 83 For: Gutierrez, Roberto (Himself) Kunkle, Jerry (JPCA) Registering, but not testifying: For: Reeves, Billy H. (J P& Constable Assoc.) On: Green, Wayne (TCLEOSE)


Example Element
Popover Positioning
You can also, change the position of the popover to be either left
, top
,
right
or bottom
.
var driver = new Driver();
driver.highlight({
element: '#some-element',
popover: {
title: 'Title for the Popover',
description: 'Description for it',
position: 'left', // can be `top`, `left`, `right`, `bottom`
}
});
Creating Feature Introductions
You can also make powerful feature introductions to guide the users about the features. Just provide an array of steps where each step specifies an element to highlight.
Below is just a quick example showing you how to combine the steps in introduction.
var driver = new Driver({
opacity: 0.5
});
// Define the steps for introduction
driver.defineSteps([
{
element: '#popover-feature-introduction-p1',
popover: {
title: 'Before we start',
description: 'This is just use-case, make sure to check out the rest of the docs below',
position: 'top'
}
},
{
element: '#popover-feature-introduction-p2',
popover: {
title: 'Title on Popover 1',
description: 'Body of the popover',
position: 'top'
}
},
{
element: '#popover-feature-introduction-p3',
popover: {
title: 'Title on Popover 2',
description: 'This is just use-case, make sure to check out the rest of the docs below',
position: 'top'
}
}
]);
// Start the introduction
driver.start();
HTML in Popovers
You can also specify HTML in the body or the title of the popovers. Here is an example:


Stereotype Threat
Define stereotype threat
Ways to combat stereotype threat
Week 5 Cultral Blog
Week 7 Cultral Blog
Back to Index


{% extends "base.html" %}
{% block title %}Welcome to FlaskBook{% endblock %}
{% block header %}{% endblock %}
{% block content %}
{% include "navbar.html" %}
Meet People, the Flask Way!
Are you looking for more friends? Search no more, Social-network is the new social application to meet other Pythonistas and make solo coding a thing of the past.


--- layout: default title: CCA'17 - Paper Submission meta: The paper submission details and instructions for CCA keyword: cloud services, iaas, paas, saas, cloud infrastructures, cloud computing, storage, data architectures, distributed networking, computing, cloud management, cloud operations, security and privary, performance, scalability, reliability, virtualization, cloud data analytics, big data management, big data analysis, cloud software, hardware, cloud applications, social clouds systems, mobile clouds systems, cloud economics ---
CCA'17 is now accepting papers on the following topics through its OpenConf system. If you have a paper on an additional topic, please write an email to<EMAIL_ADDRESS>The current topics include but are not limited to:
Manuscripts are invited for the International Conference on Cloud Computing and Applications (CCA'17) on topics lying within the scope of the conference. All contributions must be original and should not have been published elsewhere.
Three types of manuscripts could be published in the conference proceedings:
You may choose to submit any of the above based on the the weight of the contributions in your manuscript.
Please note that a .docx template is available to guide the authors in formatting their papers. All papers (including extended abstracts) must comply with the template.
You may find the conference template(s) for CCA'17 below:
Short and Full Papers' Template:
Extended Abstracts Template:
*If you submit your camera-ready paper via LaTeX, we ask that you kindly consider the following:
Papers should be prepared in English and carefully checked for correct grammar. Figures should be of high quality. To ensure high scientific quality, all papers will be reviewed by the Scientific Committee Members. All papers must be submitted in electronic form using the web site of the conference.
Once the reviewing process is complete, the contact author of each paper will be notified of the result by e-mail. The authors are required to follow the reviews in order to improve their paper before their final submission.
All accepted extended abstracts, short, and full papers will be published in the proceedings, under an ISBN reference in a USB drive. The online version of the proceedings will also be published under an ISSN reference and each paper in the proceedings will be assigned unique DOIs by CrossRef. Selected papers will be published in a Special Issue in the Open-Access Journal "International Journal of Electrical and Computer Systems" by Avestia Publishing. For more information, in regards to the journal and Avestia Publishing, please visit our website at www.avestia.com.
All papers must be presented by one of the authors. At least one author must register for the conference and pay the fee prior to Regular Registration deadline (see Important Dates) in order for the paper to be published in the conference proceedings and accepted in the final program.
Two best paper awards will be conferred to author(s) of the papers that receive the highest rank during the peer-review and by the respected session chairs. Only papers presented at the conference will be eligible for this award. Winners receive a certificate, 25% discount towards registration for the 2016 series of the conference, and can submit their papers to a related journal by Avestia Publishing for free publication (subject to a second round of peer-review).
In order to submit your paper or access the reviewer system, please follow the link below:
The corresponding authors of accepted papers are required to please fill, complete, sign and send the following copyright form along with your Camera Ready Submission to<EMAIL_ADDRESS>Failure to comply will result in removal of the paper from the proceedings.


5 instantiations of CommandCollection
System.Management.Automation (5)
engine\hostifaces\Pipeline.cs (1)
289
: this(runspace, new
CommandCollection
())
engine\hostifaces\PSCommand.cs (3)
40
_commands = new
CommandCollection
();
57
_commands = new
CommandCollection
();
533
_commands = new
CommandCollection
();
engine\remoting\client\remotepipeline.cs (1)
31
private readonly CommandCollection _commands = new
CommandCollection
();
12 references to CommandCollection
Microsoft.PowerShell.ConsoleHost (1)
host\msh\Executor.cs (1)
364
CommandCollection
executeCommands = new CommandCollection();
System.Management.Automation (11)
engine\hostifaces\LocalPipeline.cs (2)
79
CommandCollection
command,
822
CommandCollection
commands = Commands;
engine\hostifaces\Pipeline.cs (3)
304
internal Pipeline(Runspace runspace,
CommandCollection
command)
420
public
CommandCollection
Commands { get; private set; }
666
internal void SetCommandCollection(
CommandCollection
commands)
engine\hostifaces\pipelinebase.cs (1)
81
CommandCollection
command,
engine\hostifaces\PowerShell.cs (2)
748
internal void InitForRemotePipeline(
CommandCollection
command, ObjectStreamBase inputstream,
5876
private static List<PSObject> CommandsAsListOfPSObjects(
CommandCollection
commands, Version psRPVersion)
engine\hostifaces\PSCommand.cs (2)
19
private
CommandCollection
_commands;
464
public
CommandCollection
Commands
engine\remoting\client\remotepipeline.cs (1)
31
private readonly
CommandCollection
_commands = new CommandCollection();


CSS Diner Shopping List
lets go to the mail
A lot of pickles
10 apples
20 oranges
13 plates
15 bentos
1 botle of Sake


Bristol Bears player ratings - Ioan Lloyd shines yet again as Zebre are dispatched at Ashton Gate
The hosts scored eight tries in the European Challenge Cup opener
by Daniel EvansBristol Bears are top of European Challenge Cup Pool 4 thanks to their 59-21 victory over Zebre Rugby at Ashton Gate.
Will Capon, Toby Fricker, Piers O’Conor, Ioan Lloyd, Dan Thomas, Yann Thomas, Charlie Powell and Andy Uren were the try-scorers, man-of-the-match Lloyd kicked eight goals from eight and Callum Sheedy chipped in with a conversion.
We've rated the performances of the home players out of 10...
15. Charles Piutau - 8
More like the Piutau performance the fans have come to expect. He was confident, hard to tackle, keen to get on the ball and looked very sharp. Taken off after 46 minutes once he'd done his bit.
14. Luke Morahan - 7
The winger looked dangerous when the ball came his way and made a couple of decent breaks.
13. Piers O’Conor - 7
Finished his try very well before making way for Charlie Powell at outside centre.
12. Siale Piutau (c) - 8
Led by example with some bullocking runs. Continued his strong start to the season.
11. Toby Fricker - 8
Very lively and was in the right place at the right time after Chris Vui and Charles Piutau carved an eye-catching opening down the left-hand touchline.
10. Ioan Lloyd - 9
Scored a try from 60m out and kicked eight goals out of eight. You can't ask for much more than that from an 18-year-old making his first senior start at fly-half.
9. Harry Randall - 7
Kept it simple and kept the tempo up in what was an impressive first half from the hosts.
1. Yann Thomas - 7
Would have felt aggrieved when his try off the back of a driving maul was initially awarded to his fellow front-rower Will Capon. The loosehead got the credit in the end, though.
2. Will Capon - 7
Scored a try in the first half on his first senior start. Was visibly angry when he dropped a ball in the first half but, once again, didn't look out of place at all.
3. Max Lahiff - 7
Some powerful carries at close quarters from the former Bath Rugby man.
4. Ed Holmes - 5
Was quite quiet before getting sin-binned in the second half.
5. Joe Joyce - 6
Some decent carries and a penalty or two to his name.
6. Chris Vui - 7
Showed his ball skills in the wide channels and lineouts.
7. Dan Thomas - 7
Another decent showing from the busy openside. Showed nifty footwork before scoring his try in heavy traffic.
8. Luke Hamilton - 6
A solid if unspectacular first start for the club from the number eight.
Replacements
16. Harry Thacker - 6
17. James Lay - 6
18. Lewis Thiede - 6
19. John Hawkins - 7
20. James Dun - 5
21. Andy Uren - 7
22. Callum Sheedy - 6
23. Charlie Powell - 7


Table Of ContentsPrevious topic< Class Phalcon\Assets\Filters\None Next topic |
Class Phalcon\Assets\Manager¶Manages collections of CSS/Javascript assets Methods¶public __construct ([array $options]) Phalcon\Assets\Manager constructor public Phalcon\Assets\Manager setOptions (array $options) Sets the manager’s options public array getOptions () Returns the manager’s options public Phalcon\Assets\Manager useImplicitOutput (boolean $implicitOutput) Sets if the HTML generated must be directly printed or returned public Phalcon\Assets\Manager addCss (string $path, [boolean $local], [boolean $filter], [array $attributes]) Adds a Css resource to the ‘css’ collection <?php
$assets->addCss('css/bootstrap.css');
$assets->addCss('http://bootstrap.my-cdn.com/style.css', false);
public Phalcon\Assets\Manager addJs (string $path, [boolean $local], [boolean $filter], [array $attributes]) Adds a javascript resource to the ‘js’ collection <?php
$assets->addJs('scripts/jquery.js');
$assets->addJs('http://jquery.my-cdn.com/jquery.js', true);
public Phalcon\Assets\Manager addResourceByType (string $type, Phalcon\Assets\Resource $resource) Adds a resource by its type <?php
$assets->addResourceByType('css', new Phalcon\Assets\Resource\Css('css/style.css'));
public Phalcon\Assets\Manager addResource (Phalcon\Assets\Resource $resource) Adds a raw resource to the manager <?php
$assets->addResource(new Phalcon\Assets\Resource('css', 'css/style.css'));
public Phalcon\Assets\Manager set (string $id, Phalcon\Assets\Collection $collection) Sets a collection in the Assets Manager <?php
$assets->get('js', $collection);
public Phalcon\Assets\Collection get (string $id) Returns a collection by its id <?php
$scripts = $assets->get('js');
public Phalcon\Assets\Collection getCss () Returns the CSS collection of assets public Phalcon\Assets\Collection getJs () Returns the CSS collection of assets public Phalcon\Assets\Collection collection (string $name) Creates/Returns a collection of resources public output (Phalcon\Assets\Collection $collection, callback $callback, [string $type]) Traverses a collection calling the callback to generate its HTML public outputCss ([string $collectionName]) Prints the HTML for CSS resources public outputJs ([string $collectionName]) Prints the HTML for JS resources |


To illustrate what we mean by having a computational object with time-varying state, let us model the situation of withdrawing money from a bank account. We will do this using a function withdraw, which takes as argument an amount to be withdrawn. If there is enough money in the account to accommodate the withdrawal, then withdraw should return the balance remaining after the withdrawal. Otherwise, withdraw should return the message Insufficient funds. For example, if we begin with \$100 in the account, we should obtain the following sequence of responses using withdraw:
Observe that the expression withdraw(25), evaluated twice, yields different values. This is a new kind of behavior for a function. Until now, all our functions could be viewed as specifications for computing mathematical functions. A call to a function computed the value of the function applied to the given arguments, and two calls to the same function with the same arguments always produced the same result.[1]
= amount) { balance = balance - amount; return balance; } else { \end{JavaScriptClickable} \end{lrbox} \begin{JavaScriptClickable} /*!\href{https://sourceacademy.nus.edu.sg/playground#chap=3&prgrm=DYUwLgBARghsMDsDGIIF4IEYAM2DcAUAQGYCuyYAlgPYIQDulYAFgCYBOM9AFDALbVyYAJQQA3gQhTKxCN1jxkqAHwZ+ghCPGSpuhYhTpocA6gC0EdUMK7d7cKXZ19Sm1IC+EEMADOqCbZS9mCOdABEAJIIPqTExJRIlCCaEGQIrD5hbhDuBLkEjCwcXNwATACswngQAPQ1EIJgAA6kYABcEADs5UA}{\usebox\lstbox}!*/ return "Insufficient funds"; } } \end{JavaScriptClickable}
Decrementing balance is accomplished by the statement
balance = balance - amount;
Here $\textit{name}$ is a symbol and
$\textit{new-value}$ is any expression.
The assignment
changes $\textit{name}$ so that its value is the result obtained by
evaluating $\textit{new-value}$. In the case at hand,
we are changing balance so that its new value will be the result of
subtracting amount from the previous value
of balance.
Although withdraw works as desired, the variable balance presents a problem. As specified above, balance is a name defined in the program environment and is freely accessible to be examined or modified by any function. It would be much better if we could somehow make balance internal to withdraw, so that withdraw would be the only function that could access balance directly and any other function could access balance only indirectly (through calls to withdraw). This would more accurately model the notion that balance is a local state variable used by withdraw to keep track of the state of the account.
We can make balance internal to withdraw by rewriting the definition as follows:
{ if (balance >= amount) { balance = balance - amount; return balance; \end{JavaScriptClickable} \end{lrbox} \begin{JavaScriptClickable} /*!\href{https://sourceacademy.nus.edu.sg/playground#chap=3&prgrm=GYVwdgxgLglg9mABAWwIYGsCmB9A7jKACwBMAnVXACgEpEBvAKEWcQBtMpEAjVV1STIgC8iAIwAGcQG4mLUhxCkkqZHHCchAPnqyWLGMESUefAYk0iVasFFqM9Dlif4RBI52YC0iK+pmPHeShFJA9XfwCAX0RMVgBnQXsAvSCQxAAiGDA4kGBgGAgYTBtEUDBiOPSIx0jdREiZWogEOM4wTFw8AhJyXGEUDBx8IjIKGhkGds7hnrGANnFqGSmukd7KBaWgA}{\usebox\lstbox}!*/ } else { return "insufficient funds"; } }; } const new_withdraw = make_withdraw(); \end{JavaScriptClickable}
Combining assignment statements with variable statements is the general programming technique we will use for constructing computational objects with local state. Unfortunately, using this technique raises a serious problem: When we first introduced functions, we also introduced the substitution model of evaluation (section \ref{sec:substitution-model}) to provide an interpretation of what function application means. We said that applying a function should be interpreted as evaluating the body of the function with the formal parameters replaced by their values. The trouble is that, as soon as we introduce assignment into our language, substitution is no longer an adequate model of function application. (We will see why this is so in section \ref{sec:costs-of-assignment}.) As a consequence, we technically have at this point no way to understand why the new_withdraw function behaves as claimed above. In order to really understand a function such as new_withdraw, we will need to develop a new model of function application. In section \ref{sec:environment-model} we will introduce such a model, together with an explanation of assignment statements and variable statements. First, however, we examine some variations on the theme established by make_withdraw.
{ if (balance >= amount) { balance = balance - amount; return balance; } else { \end{JavaScriptClickable} \end{lrbox} \begin{JavaScriptClickable} /*!\href{https://sourceacademy.nus.edu.sg/playground#chap=3&prgrm=GYVwdgxgLglg9mABAWwIYGsCmB9A7jKACwBMAnVXPAw7AI1QBtVJMAKeplgSkQG8AoREMSlMUEKSSpkccFEQBeAHx9Bw9TGCJ2jZhEyIlCxNNlgoPAeuvCOeg8bstEAWhMy5AbjU31o8ZKITvrevogAvoiYDADOBlZhwv4SSABEMGAxIMDAMBAwmOaIoGDEMamhvuE+Ed7hQA}{\usebox\lstbox}!*/ return "insufficient funds"; } }; } \end{JavaScriptClickable}
Observe that w1 and w2 are completely independent objects, each with its own local state variable balance. Withdrawals from one do not affect the other.
We can also create objects that handle deposits as well as
withdrawals, and thus we can represent simple bank accounts. Here is
a
function
that returns a bank-account object
with
a specified initial balance:
= amount) { balance = balance - amount; return balance; } else { \end{JavaScriptClickable} \end{lrbox} \begin{JavaScriptClickable} /*!\href{https://sourceacademy.nus.edu.sg/playground#chap=3&prgrm=GYVwdgxgLglg9mABAWwIYGsCmB9VEJzhQAUARqgDaqSYCUiA3gFCKuKiSwKIDuMUACwAmAJ1Q9iqZITBR6zNosQxgiMpWoRMiAHwBeRFJlzGLJefJUaiA5c3aAtIelEA3GfOKRmKCBFI7GndPRABfREwKAGdtBRC2b19-RAAiAEkwKJBgYBgIGExZdnAhKJTgz1CPMOqOaHgkIUwABzgo-kkXWXlqxUCtG0R+7QBqZ2MK80S-AI0g6qrFOq5GmCjm1CgIAWJkHpCVNWQbPQMUvkFRcRT9+NZp5IvhMR5JpXDImOVVXZOzpta7SgN1Md3uPhmiABbX4b0UH2isV6ngeSBSAFUwOgwHAeEhvABHECYKJQRBOJwAWQAggBpACiDmpAGFmQB5dEAOQAKuVkaxFmxBeCkqt1pttu5QkA}{\usebox\lstbox}!*/ return "Insufficient funds"; } } function deposit(amount) { balance = balance + amount; return balance; } function dispatch(m) { if (m === "withdraw") { return withdraw; } else if (m === "deposit") { return deposit; } else { return "Unknown request - - MAKE-ACCOUNT"; } } return dispatch; } \end{JavaScriptClickable}
Each call to make_account sets up an environment with a local
state variable balance.
Within this environment, make_account defines
functions
deposit and withdraw
that access balance and an additional
function
dispatch
that takes a message
as input and returns one of the two local
functions.
The dispatch
function
itself is returned as the
value that represents the bank-account object.
This is precisely the
message-passing
style of programming that we saw in section \ref{sec:data-directed}, although
here we are using it in conjunction with the ability to modify local
variables.
Each call to acc returns the locally defined deposit or withdraw function, which is then applied to the specified amount. As was the case with make_withdraw, another call to make_account
= amount) { balance = balance - amount; return balance; } else { \end{JavaScriptClickable} \end{lrbox} \begin{JavaScriptClickable} /*!\href{https://sourceacademy.nus.edu.sg/playground#chap=3&prgrm=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}{\usebox\lstbox}!*/ return "Insufficient funds"; } } function deposit(amount) { balance = balance + amount; return balance; } function dispatch(m, q) { if (p === q) { if (m === "withdraw") { return withdraw; } else if (m === "deposit") { return deposit; } else { return "Unknown request - make_account"; } } else { return q => "Incorrect Password"; } } return dispatch; } const a = make_account(100, "eva"); (a("withdraw", "eva"))(50); //withdraws 50 (a("withdraw", "ben"))(40); //incorrect password \end{JavaScriptClickable}
= amount) { balance = balance - amount; return balance; \end{JavaScriptClickable} \end{lrbox} \begin{JavaScriptClickable} /*!\href{https://sourceacademy.nus.edu.sg/playground#chap=3&prgrm=GYVwdgxgLglg9mABAWwIYGsCmB9VEJzhQAUARqgDaqSYA0iADgJSIDeAUO4t4hZlIhhgAbpRgATXFCiZkDKAGdEAXkQAGANyIA9NqExYYgF6YlUOOs49EoSLASIA7gYAW4gE6pHxVMkJgoFg5raxhgRDJKaghMRAA+VV9-QLYuEPTyKhoVREzo2IBaRCSiDTT063d+EHckPJoyisQAX0RMCgVY4KaeKqgapAAiAEkwBRBgYBgIGEwAm3BxBUHGiubylqseW2h4JHFMBjgFAx8-IiCN63qYnJvYgGpi84DV9L6B3KiGjfWNnfsSAglAo2CgLhwBAYCmIlyaH1qiEGwIoFCEAHNEODYlClKglABPQiIFyoYSxTAADximAO4iRiAeVx6SOxKFQlMQYAscHCwFQMD49NQ0lk8mWb02-3Auwc4hgCgYIogLmIyHoAEc4RUwhEhKI0ZIRTI5IpEAAeVQAdm1LN1xAYKmUqi1qRZ6XtyCdqkGznBHi8g1t7ve1URfrcnkckpDrXanUE4TV3qRByOJygQbdIYqCP2h2OBhj7rjHS6zJziDzSIAqmB0NzHEgqhqQKYBEU0FhcPhkisKz11rG2mXs5X9WIjaLTUpVBPDVITeLGYgAIySgCQ8LDQ1GBHcVWgiAACviFI44O5xP3YwPSwnuizqyjQdjsLjYcXuEOeH9KjvEHlRVlRcMp2D+AgxgEVAci7HA8AIIhiFXNQ1HoQZMFEIMyh8YhfVcANHEGdDMNQIMmGIABWNQmBw1A8IjQjiKRUjyKomi6IYgio2YjCsKYCjqNo9hcPw-0eJI-jBI4kT6LEyNA0ksiBPY4TRMYiSWKk1SNCAA}{\usebox\lstbox}!*/ } else { return "Insufficient funds"; } } function deposit(amount) { balance = balance + amount; return balance; } function call_the_cops() { return "calling the cops as you have exceeded " + "the max no of failed attempts"; } function dispatch(m, q) { if (invalid_attempts <= 7) { if (p === q) { if (m === "withdraw") { return withdraw; } else if (m === "deposit") { return deposit; } else { return "Unknown request - make_account"; } } else { invalid_attempts = invalid_attempts + 1; return "Incorrect Password"; } } else { return call_the_cops(); } } return dispatch; } \end{JavaScriptClickable}
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