The match()
method retrieves the matches when matching a string against a regular expression.
str.match(regexp)
regexp
obj
is passed, it is implicitly converted to a RegExp by using new RegExp(obj)
.array
If the regular expression does not include the g
flag, returns the same result as RegExp.exec(). The returned Array has an extra input
property, which contains the original string that was parsed. In addition, it has an index
property, which represents the zero-based index of the match in the string.
If the regular expression includes the g
flag, the method returns an Array containing all matched substrings rather than match objects. Captured groups are not returned. If there were no matches, the method returns null.
RegExp
methodsmatch()
In the following example, match()
is used to find 'Chapter'
followed by 1 or more numeric characters followed by a decimal point and numeric character 0 or more times. The regular expression includes the i
flag so that case will be ignored.
var str = 'For more information, see Chapter <IP_ADDRESS>'; var re = /(chapter \d+(\.\d)*)/i; var found = str.match(re); console.log(found); // logs ['Chapter <IP_ADDRESS>', 'Chapter <IP_ADDRESS>', '.1'] // 'Chapter <IP_ADDRESS>' is the first match and the first value // remembered from `(Chapter \d+(\.\d)*)`. // '.1' is the last value remembered from `(\.\d)`.
match()
The following example demonstrates the use of the global and ignore case flags with match()
. All letters A through E and a through e are returned, each its own element in the array.
var str = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz'; var regexp = /[A-E]/gi; var matches_array = str.match(regexp); console.log(matches_array); // ['A', 'B', 'C', 'D', 'E', 'a', 'b', 'c', 'd', 'e']
match()
is called with a global regular expression, the RegExp.lastIndex property (if specified) will be reset to 0
().flags
argument is deprecated and throws a console warning (). This property is Gecko-only and will be removed in the future.Created by Mozilla Contributors, license: CC-BY-SA 2.5


Commissioner: Melville Richardson
Curator: Barbara Paca
Exhibitors: Global Citizens and the People of Antigua and Barbuda
Antigua and Barbuda’s inaugural National Pavilion at the 16th International Architectural Exhibition of La Biennale di Venezia explores environmental justice as a civil right through an investigation into the acute crisis of climate change facing this island nation.
Situated in a fifteenth-century monastery in the heart of Venice, Antigua & Barbuda’s National Pavilion explores three sites in Antigua and Barbuda through a combination of architectural models, artefacts, and drawings to examine the relationship between architecture and the environment and the unresolved case of Mother Nature versus Human Intervention.
The sites presented are linked by innovative stakeholder partnerships that seek to address present-day environmental challenges. In keeping with this collaborative spirit, the pavilion serves as a space for dialogue and a meeting place for a diverse audience that includes students, the differently abled, environmental groups and visitors.
Antigua and Barbuda -- located southeast of Puerto Rico and where the Atlantic Ocean and the Caribbean Sea meet -- became a sovereign state in the British commonwealth in 1981. Its population in July was estimated to be 94,731, with 97% of the population living on the island of Antigua. In September of 2017, Hurricane Irma destroyed an estimated 95% of the infrastrucure of the tiny island of Barbuda – one half of the twin-island nation Antigua and Barbuda. All 1,800 residents on Barbuda were evacuated and much of the island was destroyed. The most urgent planned developments include restoration of electicity and running water, as residents cannot return until these services are restored. However, after these basic rebuilds, the island faces a choice: the majority-Christian and the majority-English speaking nation is reliant in large part on travel and tourism, accounting for nearly 60% of its GDP.
Victoria Park is located in the west end of St. John's. The park occupies the same 6.5 acres of land now as it did when it opened in 1890. The Park is bounded by Water Street on the south, Sudbury Street to the west, Hamilton Avenue to the north, and Alexander Street to the East. Bennett's Creek, covered over in two stages during the 1940s and 1960s, runs through the centre of the steeply sloping upper half of the Park and down the southwest side. The flatter lower side of the Park has formally laid out paths and plantings, as well as recreational infrastructure installed in later years.
The Park itself is surrounded by a mix of residential, commercial, industrial and institutional uses, characteristic of this older neighbourhood.
The Government House in the center of Antigua’s capital city, St. John’s, is a treasured symbol of the nation’s democracy—its progression from slavery to full emancipation in 1834, and to confident independence in 1981. Established in a Parsonage dating from the 1700s, Government House has been the official residence of the islands’ Governor General since 1800. The present-day Government House, dating from the early nineteenth century, still remains the official residence of the Governor General, representing Queen Elizabeth II, the Head of State. The main building, a traditional West Indian construction, is surrounded by historic outbuildings that served as carriage houses, stables, laundry buildings, kitchens, servants’ quarters, cisterns, limestone filters, and gardens set within a masonry perimeter wall.
Government House has suffered from severe weather conditions, including harsh heat and drought, hurricanes, earthquakes, and neglect. Additionally, the property has evolved in a changing urban landscape, complete with the challenges of poverty, unemployment, and crime. Despite significant signs of decay and a variety of physical issues including water filtration and outdated and potentially dangerous electrical and plumbing systems, the Government House building is structurally sound, attesting to the original quality of craftsmanship. The grounds, overgrown and romantic, feature exquisite mature specimen trees, including West Indian mahogany, red cedar, and lignum vitae. Conservation measures for the house, outbuildings, and the gardens are needed to stem the progressing decay, which, if ignored, will soon be impossible to repair and even more costly to reinstate.
A local initiative to repair Government House has been developed with the goal of providing training and employment opportunities to underserved youth, people with disabilities, older people who are unable to find jobs, professionals with an interest in sharing their expertise, teachers, and the incarcerated. The 2018 World Monuments Watch calls attention to the Government House and the restoration program as an opportunity to connect heritage solutions with issues of urban deprivation, health, and other social issues.


---
layout: default
---
About us
Metallica manufacturing is a sheet metal shop.  Our flexibility allows us to accept requests including one-offs, product prototypes and production runs. We invite you to consider us as a licensed manufacturer for your product line. We are strategically positioned for distribution along the westcoast and North America as well as shipping to the entire Pacific Rim trading circle, via Vancouver, Canada – A Major Port City. Call us to discuss your market expansion plans.


ReadMe File¶
SavePlot - Python module for displaying or saving matplotlib plots.¶
(C) Keziah Milligan, 2017 MIT Licence
I often have to switch between showing and saving plots when working. This can be a
faff when the plt.show()
and/or plt.savefig()
commands are at the very end of the script and
the parameters I’m changing are at the top.
Occasionally I’ve accidentally overwritten a graph or leave a huge program to run to a while,
only to find I forgot to tell it to save the graphs it generates.
SavePlot allows you to create a SavePlot object, telling it whether to save (True
) or
show (False
) the figure.
Then, when the actual plotting is required, you simply call SavePlot.plot(plt)
.
When saving, if the file already exists, SavePlot will prompt you to overwrite/rename.
This behaviour can be overridden by setting auto_overwrite=True
in the constructor.
Output to stdout can be supressed by stating mode='quiet'
.
save_plot.py also includes an object which will create a stand-alone legend, SaveLegend
.
The constructor is identical to that of SavePlot (except it will always save the output:
no boolean is needed). SaveLegend.plot
takes a list of labels and colours and/or linestyle
and any other matplotlib.pyplot.figlegend
keyword arguments.
All figures will be saved as PDFs, with metadata set by SavePlot. The user name and the name of the Python script which called SavePlot are set as the PDF author and subject, respectively.
You can read the documentation here.
Example - saving a plot¶
import matplotlib.pyplot as plt
import numpy as np
from save_plot import SavePlot
# make SavePlot object which will save the figure
sp = SavePlot(True, 'test.pdf', auto_overwrite=True)
x = np.linspace(0, 2*np.pi, num=1000)
y = np.sin(x)
plt.plot(x,y)
# save the plot
sp.plot(plt)
Also see example.py
for a demonstration of both SavePlot
and SaveLegend
.
Installing¶
SavePlot requires Python 3.x, NumPy and Matplotlib.
It can be installed with:
pip install .


The Einstein Vision and Language Model Builder (also known as "The Playground")
is an example showcase for how to use the Einstein Platform Services. It is provided as AS IS. Use it at your own fun and risk.
Package version: {packageVersion.data}
The basic workflow for using the Playground is:
- Create a dataset from a remote URL or by uploading a local file
- Once the dataset has been successfully uploaded, train a model.
- When a model training has reached 100% you can test predictions.


Eastern Sierra
The Eastern Sierra, situated along US 395 on the eastern side of the Sierra Nevada mountain range, is still located in California. It is a paradise for photographers and hikers and somehow unexplored territory. The main part is in Mono and Inyo County and sometimes referred to as California's wild side. It contains the highest mountain, Mt. Whitney as well as the road to the lowest point: Badwater in Death Valley. Towns along US 395 include Lone Pine, famous location for Westerns, Bishop, Mammoth Lakes, June Lake, Lee Vining and the ghost town Bodie.
Mt. Whitney & Alabama Hills
Devils Postpile
Ancient Bristlecone Pines
Conway Summit
Rock in Alabama Hills
Devils Postpile II
Sierra Crest from Lone Pine
Bristlecone Pines II
View from top of Mammoth
Rainbow Falls
Convict Lake
Mount Whitney
Sierra Crest Overlook


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Border: Nigeria, Niger, Benin Republic Set Up Committee To Review Closure
The committee would comprise ministers of finance, trade, foreign affairs, the customs, immigration, and the national security adviser.
by SaharaReporters, New York
Nigeria, the Republic of Benin and Niger, have established a joint border patrol team comprising the police, customs, and immigration to recommend a date for the reopening of the borders.
The three countries agreed in a resolution on Thursday in Abuja at the end of the Tripartite Anti-Smuggling Committee Meeting of Nigeria, Benin, and Niger.
Reading the communiqué at the end of the meeting, Nigeria’s Foreign Affairs Minister, Geoffrey Onyeama, said the meeting noted the concerns raised by Niger and Benin and agreed to establish a monitoring and evaluating committee of the three countries.
He added that the committee would comprise ministers of finance, trade, foreign affairs, the customs, immigration, and the national security adviser.
Onyeama, "The meeting agreed that the monitoring and evaluation committee will ensure the full implementation of the adopted mandate of the Joint Anti-Smuggling Human Trafficking Committee.
"Nigeria, Benin also agreed on the establishment of trade facilitation committee among the three countries, comprising of ministers of finance and trade.
"To promote intra-regional trade among the three countries, as well as put in place, sanctions against smuggling of goods.
"The governments agreed to ensure persons from the three countries to enter/exit each other’s state with valid ECOWAS recognized travel documents through recognized controlled posts.
"Establishment of a joint border patrol team comprising the police, customs, immigration of the three countries.
"The team is to hold its first meeting in Abuja from November 25 to November 27, 2019.
"The patrol team is to agree on the modality to carry out its operation and recommend a date for the opening of the borders."


| ${value} Active Energy Cost per Second | 25 |
| ${value} Active Health Cost per Second | 10 |
| +${value}% Bleeding Damage | 150 |
| +${value}% Energy Leech | -300 |
| +${value}% Energy Regeneration | -300 |
| +${value}% Health Regeneration | -300 |
| +${value}% Life Leech | -300 |
| +${value}% Vitality Damage | 150 |
| +${value}% Vitality Decay | 150 |
| MaxLevel | 1 |
| UltimateLevel | 1 |


Emotional intelligence is important because:
knowing how you are really feeling guides you on what decisions to make. when to give your body a rest, or when you need to dig deeper. Being aware of what emotions you are pushing down makes it clear on what you need to process, before your thoughts and judgement get clouded by it.
being able to tackle any challenge with a calm clear mind is a golden skill. valuable in any workplace but more importantly your life. With all the many challenges everyone faces in their daily lives, the time and stress saved from dealing with problems in a calm matter will have significant benifits.
if you want to strive to be a big problem solver and help others, you need to be in a position to do so. I can imagine elon musk has great emotional intelligence as he can perform at his optimum state handling failure, family and running an incredible company.


The data manager component and service manage the exploration of a data set across any number of SKY UX, third party, or custom views through state observables and data set- and view-level configs.
Coming soon!
The data manager is responsible for the options applied to the data but not the data itself. The data manager renders the toolbar and tracks the options selected in the toolbar, but the consuming SPA provides the views that display the data and applies filters and sorts to the data. This provides flexibility and control over the views and data loading while handling some repetitive tasks, such as arranging items in the toolbar and applying sticky settings.
The core pieces of the data manager are the config objects (SkyDataManagerConfig and SkyDataViewConfig), the states (SkyDataManagerState and the SkyDataViewStates it contains), and SkyDataManagerService. The data manager renders a toolbar with options based on the overall data manager config and the individual view configs. When changes are made in the toolbar, the data state is updated. These updates are made available through observables on the data manager service.
The data manager has one configuration object that includes options that apply across all views, and one configuration object per view that allows each view to be fine-tuned.
Similarly, the state includes information that could apply across all views or to a specific view. Options that dictate what data is displayed are in SkyDataManagerState because the data that is displayed should be the same across views. Options that dictate how data is displayed, such as what columns to display, are in SkyDataViewState objects. For example, if you display constituents in a grid view and a map view, the same constituents should be in both views, but the view determines the columns to display and whether to display the sort button.
If you use a data entry grid within a data manager component, the skyAgGridDataManagerAdapter directive can manage some standard interactions between the data entry grid and the data manager service. Add the directive should to the sky-data-view element that contains the data entry grid to intialize properties from the data state and keep the data entry grid in sync with the data state. When the data entry grid changes, the data state is updated, and when the data state changes, the data entry grid responds to the changes. The directive manages:
Other properties of the data state, such as filters and applying the sort, still need to be implemented for each use.


Select the operations to be tested
Select all
fullAnswers
setAdminKey
existsCandidate
specificAnswer
generateQuiz
rememberQuiz
storeQuiz
checkQuiz
Load some file if you have form-data
Run!


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A data components library for building reactive map UIs.
Everything is a Component
Define data dependencies inside the components
Choose from dozens of maps layouts and your favorite UI libraries
Choose from all these UI components


Presented by Rohit Musti (he/him)
We started with these raw equity indicators
Then we normalized them within their municipalities
Weighted them equally to create a priority index.
The difference between your tree canopy goal and your current tree canopy
We weighted the biome goal by the population density
We had to process
We had to process
All of this analysis required roughly
We wrote a script that handles the landsat tile scraping and processing to calculate temperature
We wrote a GIS data pipeline (basically a massive jupyter notebook) that computes all of the calculations for us.
This work culminated in the creation of treeequityscore.org. We built this application to help folks expore our data and advocate for trees! Read more about it here.
If one person is solely responsible entire project parts,
all become extremely difficult


class: center, middle # Freer Monads, More Extensible Effects Tim McGilchrist (@lambda_foo) .bottom[![lambda](/talks/fp-syd-freer-2016/green-lambda.png)] ??? * Check your MTL at the door. --- # Outline "Freer Monads, More Extensible Effects" paper by Oleg Kiselyov and Hiromi Ishii. May contain traces of Free Monads, no understanding required. ??? ICFP 2015 --- class: center, middle, section-white background-image: url(/talks/fp-syd-freer-2016/background-image01.jpg) --- # Motivation Acknowledge the issue being addressed, composability of Effects ie Monads. There are 3 approaches proposed for addressing this: 1. Monad Transformers (transformers/MTL) 2. Combine monads via a co-product 3. Effects as an interaction and having effect handlers ??? 2 is Data types ala carte 3. Eff language Extensible effects emerge as a combination of free monads and open union 2 & 3. --- # Effects as Data ``` haskell data Reader i a = Pure a | Get (i -> Reader i a) ``` -- ``` haskell data Writer o a = Pure a | Put o (() -> Writer o a) ``` ??? Having a look at effects as data types -- ```haskell data ReadWrite i o a = Pure a | Get (i -> ReadWrite i o a) | Put o (() -> ReadWrite i o a) ``` ??? Not extensible.  Monad instance for Reader Writer. (>>>) Kleisli composition, is the composition of effectful functions Common pattern here. --- # Free Monad ``` haskell data Free f a = Pure a | Impure (f (Free f a)) ``` Pure represents no requests, while Impure are the requests. Containing the continuation that receives the reply. Instances of `f` define the effect signature of a particular effectful computation. ??? --- # Free Monad cont ```haskell instance Functor f => Monad (Free r) where return = Pure Pure a >>= k = k a Impure f >>= k = Impure (fmap (>>= k) f) ``` ??? * free monad's compose because they're based off functors which do compose. * free monad recover a free monad from the data type definition. * tricky bit is writing the interpreter --- # Freer Monad ```haskell data FFree f a where Pure :: a -> FFree f a Impure :: f x -> (x -> FFree f a) -> FFree f a ``` Insight, make the `fmap` external ??? In this way we can remove the Functor constraint. --- # Freer Monad cont ```haskell data FReaderWriter i o x where Get :: FReaderWriter i o i Put :: o -> FReaderWriter i o () instance Monad (FFree f) where ... Impure fx k’ >>= k= Impure fx (k’ >>> k) ``` ??? * more common pattern of accumulating continuations * more general, it imposes less constaints than before * Monad instance but also the Functor and Applicative instances for free. * Direct access to the continuation means no rebuilding the mapped data like with fmap * Can change the representation of the continuation to be more efficient. More on this later --- # Extensible Effects `A Monad type is extensible if we can add a new effect without having to touch or even recompile the old code.` ??? * transformers doesn't provide this? * Bloody stupidly designed Monad Transformer stack * Modeling the Effects as a data type is not extensible. --- # Open Union `Union (r :: * -> *) x` The first argument r is a type level list of effect labels. The second argument is the response type. A concrete union has a single effect label and response type. ???  This allows us to assert a label `t` occurs in the list `r`. Impure takes a concrete union of a single effect and response type, a function from `x` to `FEFree r a` and gives you that. --- # FEFree ```haskell data FEFree r a where Pure :: a -> FEFree r a Impure :: Union r x -> (x -> FEFree r a) -> FEFree r a data Reader i x where Get :: Reader i i data Writer o x where Put :: o -> Writer o () ask :: Member (Reader i) r => Eff r i ask = Impure (inj Get) return ``` ??? Pure is fairly straight forward. Impure takes a concrete union of a single effect and response type, a function from `x` to `FEFree r a` and gives you that. --- # Performance Issues The original `Free` monad while elegant had poor performance. ``` haskell addGet :: Int -> Reader Int Int addGet x = ask >>= \i -> return (i + x) (((return >>> addGet) >>> addGet) >> addGet) 0 ... ((Impure (inj Get) return . (+0)) >>= addGet) >>= addGet ... ``` ??? * bind traverses the left argument but passes around the right argument * performs poorly on left-associated list appends * [31] "Reflections without remorse: Revealing a hidden sequence to speed up monadic reflection" by Oleg --- # Final Result ``` haskell data FEFree r a where Pure :: a -> FEFree r a Impure :: Union r x -> (x -> FEFree r a) -> FEFree r a ``` * with request continuation exposed, represent it in other ways ??? -- ``` haskell instance Monad (FEFree f) where ... Impure fx k' >>= k = Impure fx (k' >>> k) ``` * represent the continuations as a concrete sequence [31] "Reflections without remorse..." --- # Final Result II ``` haskell type Arr r a b = a -> Eff r b ``` * type appreviation for the request continuation. ``` haskell type FTCQueue (m : * -> *) a b ... tsingleton :: (a -> m b) -> FTCQueue m a b (|>) :: FTCQueue m a x -> (x -> m b) -> FTCQueue m a b ``` * type aligned sequence minimal interface `Data.FTCQueue` * enforce the variant, the result type of one function matches the input of the next one. ?? --- # Code Examples Switch to Emacs ??? --- # Performance Evaluation * For deep monad stacks, EE runs in constant time, while MTL takes linear time in the number of layers. Also 40% faster than previous EE based off Free -- * Cost of deep MTL stacks is severe. Implications for design. -- * Memory usage for EE is linear with the number of layers. MTL is quadratic in the number of layers. EE is more memory efficient than MTL -- * State benchmark shows MTL is 30 times faster than EE. Special optimisation passes for MTL State :-) -- * Non optimised version the performance between EE and MTL is comparible ??? State is a special snowflake with dedicated optimisations. Trying to replicate results with 7.10 and 8 --- # Conclusion * Removing fmap constraint * Represent continuations as type aligned list * Externalise fmap * Promising performance vs Free and MTL --- # Examples * Catching IO Exceptions * LogicT, non-determinism with comitted choice * Monadic Regions --- # Resources * [free on hackage](https://hackage.haskell.org/package/free) * [freer on Hackage](https://hackage.haskell.org/package/freer) * [freer source](https://gitlab.com/queertypes/freer/) * [Oleg on Extensible Effects](http://okmij.org/ftp/Haskell/extensible/) --- class: center, middle # Thanks! Tim McGilchrist @lambda_foo Master Commander of Big Data @ Ambiata Thanks!


Language is made of discrete structures, yet neural networks operate on continuous data: vectors in high-dimensional space. A successful language-processing network must translate this symbolic information into some kind of geometric representation—but in what form? Word embeddings provide two well-known examples: distance encodes semantic similarity, while certain directions correspond to polarities (e.g. male vs. female).
A recent, fascinating discovery points to an entirely new type of representation. One of the key pieces of linguistic information about a sentence is its syntactic structure. This structure can be represented as a tree whose nodes correspond to words of the sentence. Hewitt and Manning, in A structural probe for finding syntax in word representations, show that several language-processing networks construct geometric copies of such syntax trees. Words are given locations in a high-dimensional space, and (following a certain transformation) Euclidean distance between these locations maps to tree distance.
But an intriguing puzzle accompanies this discovery. The mapping between tree distance and Euclidean distance isn't linear. Instead, Hewitt and Manning found that tree distance corresponds to the square of Euclidean distance. They ask why squaring distance is necessary, and whether there are other possible mappings.
This note provides some potential answers to the puzzle. We show that from a mathematical point of view, squared-distance mappings of trees are particularly natural. Even certain randomized tree embeddings will obey an approximate squared-distance law. Moreover, just knowing the squared-distance relationship allows us to give a simple, explicit description of the overall shape of a tree embedding.
We complement these geometric arguments with analysis and visualizations of real-world embeddings in one network (BERT) and how they systematically differ from their mathematical idealizations. These empirical findings suggest new, quantitative ways to think about representations of syntax in neural networks. (If you're only here for empirical results and visualizations, skip right to that section.)
In fact, the tree in Figure 1 is one of the standard examples to show that not all metric spaces can be embedded in $\mathbb{R}^n$ isometrically. Since $d(A, B) = d(A, X) + d(X, B)$, in any embedding $A$, $X$, and $B$ will be collinear. The same logic says $A$, $X$, and $C$ will be collinear. But that means $B = C$, a contradiction.
If a tree has any branches at all, it contains a copy of this configuration, and can't be embedded isometrically either.
By contrast, squared-distance embeddings turn out to be much nicer—so nice that we'll give them a name. The reasons behind the name will soon become clear.
Does the tree in Figure 1 have a Pythagorean embedding? Yes: as seen in Figure 2, we can assign points to neighboring vertices of a unit cube, and the Pythagorean theorem gives us what we want.
What about other small trees, like a chain of four vertices? That too has a tidy Pythagorean embedding into the vertices of a cube.
These two examples aren't flukes. It's actually straightforward to write down an explicit Pythagorean embedding for any tree into vertices of a unit hypercube.
One way to view this construction is that we've assigned a basis vector to each edge. To figure out the embedding for a node, we walk back to the root and add up all the vectors for the edges we pass. See figure below.
The value of this proof is not just the existence result, but in the explicit geometric construction. Any two Pythagorean embeddings of the same tree are isometric—and related by a rotation or reflection—since distances between all pairs of points are the same in both. So we may speak of the Pythagorean embedding of a tree, and this theorem tells us exactly what it looks like.
Moreover, the embedding in Theorem 1.1 has a clean informal description: at each embedded vertex of the graph, all line segments to neighboring vertices are unit-distance segments, orthogonal to each other and to every other edge segment. If you look at Figures 1 and 2, you'll see they fit this description.
It's also easy to see the specific embedding constructed in the proof is a tree isometry in the $\ell^1$ metric, although this depends strongly on the axis alignment.
We can make a slight generalization of Theorem 1.1. Consider trees where edges have weights, and the distance between two nodes is the sum of weights of the edges on the shortest path between them. In this case, too, we can always create a Pythagorean embedding.
The embedding in Theorem 1.2, despite being axis-aligned, is no longer an isometry with respect to the $\ell^1$ metric. However, if we use vectors $w_i e_i$ rather than ${w_i}^{1/2} e_i$ we can recover an $\ell^1$ isometry.
On the other hand, it turns out that power-$p$ tree embeddings will not necessarily even exist when $p < 2$.
See our paper for a proof (and an alternative proof may be found here). To summarize the idea, for any given $p < 2$, there is not enough “room” to embed a node with sufficiently many children.
The Pythagorean embedding property is surprisingly robust, at least in spaces whose dimension is much larger than the size of the tree. (This is the case in our motivating example of language-processing neural networks, for instance.) In the proofs above, instead of using the basis $e_1, \ldots, e_{n-1} \in \mathbb{R}^{n-1}$ we could have chosen $n$ vectors completely at random from a unit Gaussian distribution in $\mathbb{R}^{m}$. If $m \gg n$, with high probability the result would be an approximate Pythagorean embedding.
The reason is that in high dimensions, (1) vectors drawn from a unit Gaussian distribution have length very close to 1 with high probability; and (2) when $m \gg n$, a set of $n$ unit Gaussian vectors will likely be close to mutually orthogonal.
In other words, in a space that is sufficiently high-dimensional, a randomly branching embedding of a tree, where each child is offset from its parent by a random unit Gaussian vector, will be approximately Pythagorean.
This construction could even be done by an iterative process, requiring only “local” information. Initialize with a completely random tree embedding, and in addition pick a special random vector for each vertex; then at each step, move each child node so that it is closer to its parent's location plus the child's special vector. The result will be an approximate Pythagorean embedding.
The simplicity of Pythagorean embeddings, as well as the fact that they arise from a localized random model, suggests they may be generally useful for representing trees. With the caveat that tree size is controlled by the ambient dimension, they may be a low-tech alternative to approaches based on hyperbolic geometry.
We won't describe the BERT architecture here, but roughly speaking the network takes as input a sequences of words, and across a series of layers produces a series of embeddings for each of these words. Because these embeddings take context into account, they're often referred to as context embeddings.
There is one twist: first you need to transform the context embeddings by a certain matrix $B$, a so-called structural probe. But following that, the square of the Euclidean distance between two words' context embeddings approximates the parse tree distance between the two words.
Here is where the math in the previous section pays off. In our terminology, the context embeddings approximate a Pythagorean embedding of a sentence's dependency parse tree. That means we have a good idea—simply from the squared-distance property and Theorem 1.1—of the overall shape of the tree embedding.
We then project these points to two dimensions via PCA. To show the underlying tree structure, we connect pairs of points representing words that have a dependency relation. Figure 5, below, shows the result for a sample sentence and, for comparison, PCA projections for the same data of an exact Pythagorean embedding; randomly branched embeddings; and embeddings where node coordinates are completely random.
The PCA projection is already interesting—there's a definite resemblance between the BERT embedding and the idealization. Figure 5c shows a series of randomly branching embeddings, which also resemble the BERT embedding. As a baseline, Figure 5d shows a series of embeddings where words are placed independently at random.
But we can go one step further, and show how the embedding differs from an idealized model. In Figure 6 below, the color of each edge indicates the difference between Euclidean distance and tree distance. We also connect, with a dotted line, pairs of words without a dependency relation but whose positions (before PCA) were much closer than expected.
The resulting image lets us see both the overall shape of the tree embedding, and fine-grained information on deviation from a true Pythagorean embedding. Figure 5 shows two examples. These are typical cases, illustrating some common themes. In the diagrams, orange dotted lines connect part/of, same/as, and sale/of. This effect is characteristic, with prepositions are embedded unexpectedly close to words they relate to. We also see connections between two nouns showing up as blue, indicating they are farther apart than expected—another common pattern.
Figure 8, at the end of this article, shows additional examples of these visualizations, where you can look for further patterns.
Based on these observations, we decided to make a more systematic study of how different dependency relations might affect embedding distance. One way to answer this question is to consider a large set of sentences and test whether the average distance between pairs of words has any correlation with their syntactic relation.We performed this experiment with a set of Penn Treebank sentences, along with derived parse trees.
Figure 7 shows the results of this experiment. It turns out the average embedding distances of each dependency relation vary widely: from around 1.2 (compound : prt, advcl) to 2.5 (mwe, parataxis, auxpass). It is interesting to speculate on what these systematic differences mean. They might be the effects of non-syntactic features, such as word distance within a sentence. Or perhaps BERT’s syntactic representations have additional quantitative aspects beyond plain dependency grammar, using weighted trees.
Many thanks to James Wexler for help with this note. And thanks to David Belanger, Tolga Bolukbasi, Dilip Krishnan, D. Sculley, Jasper Snoek, and Ian Tenney for helpful feedback and discussions about this research. For more details, and results related to semantics as well as syntax, please read our full paper! And look for future notes in this series.


Spain court seeks to try Assad's uncle for money laundering
by EndPlayMADRID (AP) - A Spanish judge is recommending that Syrian ex-Vice President Rifaat Assad, the exiled uncle of Bashar Assad, and 13 others be put on trial i on charges of criminal organization and money laundering.
Judge José de la Mata alleges that Rifaat Assad and the others, including eight sons, have laundered money taken out of Syria in several European countries since the 1980s.
The court alleges they laundered around 600 million euros ($664 million) in Spain through real estate purchases. The 14 weren't immediately available for comment.
The judge in 2017 ordered the seizure of more than 500 properties belonging to Assad and his relatives.
Rifaat Assad, thought to live in France, fled Syria in 1984.
De la Mato has asked prosecutors to decide if Spain should proceed with the case.


@* * 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 domain.models.emailpreferences.EmailTopic._ @import config.ApplicationConfig @import domain.models.developers.DeveloperSession @import include._ @import domain.models.views.BackButtonWithJavaScript @import uk.gov.hmrc.urls.Link @import domain.models.applications.ApplicationId @this(devMain: DevMain) @(form: Form[SelectTopicsFromSubscriptionsForm], selectedTopics: Set[String], applicationId: ApplicationId)(implicit messages: Messages, loggedIn: DeveloperSession, request: play.api.mvc.Request[Any], appConfig: ApplicationConfig) @pageHeading = @{ "Which topics do you want to receive information about?" } @devMain( title = pageHeading, userFullName = loggedIn.loggedInName, back = BackButtonWithJavaScript, developerSession = Some(loggedIn) ) { @errorSummary(form)
We’ll only send you information about the APIs you are interested in.
Select all that apply.
Check the @{ Link.toExternalPage(id = Some("status-page-link"), url = "https://api-platform-status.production.tax.service.gov.uk/", value = Some("service availability page for information about live incidents")).toHtml }.


This research presents a near-eye light field display for augmented reality using Transmissive Mirror Device instead of conventional optical elements such as half-mirror, free-from optics, and waveguide.
Ars Electronica 2017で実機のデモ展示を行いました。SIGGRAPH Asia 2017で登壇発表を行いました。


Eric Baptist
This is the best auto repair facility Charlotte! The staff is friendly, knowledgeable, and honest.
Our reputation characterizes us. Our reviews tell the story. We strive to provide you with the best service on every visit. Your vehicle is in good hands!.
We understand the technology behind your steering wheel, and constantly training our technicians and updating our tools to properly diagnose your vehicle.
Our facility has technicians capable of repairing multiple systems on your vehicle. Brakes, steering, suspension, charging and ignition systems, and more.
We believe that you must decide how much you want to spend on each repair. Therefore, we will always wait for your authorization before making any repairs.
This is the best auto repair facility Charlotte! The staff is friendly, knowledgeable, and honest.
The most professional repair shop I've ever been to. Mr Osman as well as everyone else are kind and welcoming.
 Now my car runs like new
Satisfied with my Vehicle Inspection. I will be returning due to this pleasant experience.


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{{ define "main" }} Dashboard Organisation Settings John Smith
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Conditional Controlled Structure may be define as it is a structure that is
used to compare more than one quantites.
In Conditional Controlled Structure we have four types:
1) if Statement
2) if - else Statement
3) Nested if - else Statement
4) Switch case Statement
It is a Conditional Controlled Structure that is used to compare two quantites.
// Syntax:
if Expression / Condition{
//Statements
}
// if is keyword, Expression / condition may be variable, constant, arithmetic Expression or relational Expression
Statement may be single Statement or compound Statement.
// compound Statement must be enclosed within braces({})
It is also a Conditional Controlled Structure that allows to execute any one of the two statement depending upon the values of Expression.
// Syntax:
if expression / condition{
//statement1
}else{
//statement2
}
// if the expression / condition is true statement1 is executed otherwise statement2 executed.
When one if-else structure is embedded into another if-else it is called nested if-else.
// Syntax:
if condition-1 {
// code to be executed if condition-1 is true
} else if condition-2 {
// code to be executed if condition-2 is true
} else {
// code to be executed if both condition1 and condition2 are false
}
It is a conditional controlled structure i.e. used to select a statement among multiple statements depending upon value of expression.
// Syntax:
Switch expression {
Case label 1:
Statement
Case label 2:
Statement
……
……….
Case label n:
Statement
default: statements
}


Manual GeoLocation
disable
Drag the marker, double click on the desired location, or type address below


--- layout: portfolio title: ! 'Cleaning Up a Country: A Data-Driven Examination of Ethiopia''s Growing Sanitation Issues' date: 2014-07-01 06:02:39.000000000 +05:30 categories: [] tags: [] status: publish type: portfolio published: true meta: _edit_last: '1' _wpas_done_all: '1' _thumbnail_id: '3935' _jetpack_related_posts_cache: a:1:{s:32:"8aa64d0d47aab35d63f6cd22cecd8e43";a:2:{s:7:"expires";i:1428990766;s:7:"payload";a:3:{i:0;a:1:{s:2:"id";i:3394;}i:1;a:1:{s:2:"id";i:2688;}i:2;a:1:{s:2:"id";i:3980;}}}} dsq_thread_id: '3635565049' author: login: cvlewis email<EMAIL_ADDRESS>display_name: Carl V. Lewis first_name: Carl V. last_name: Lewis excerpt: !ruby/object:Hpricot::Doc options: {} ---
Hover over each stage to find out more information.
Embedded above is a pure JavaScript-powered flowchart from a team project that was part of Columbia University's Tow Center for Digital Journalism annual 24-hour digital media hackathon. The project took home first place at the end of the hackathon. I served as the team leader, divvying up content and slides to team members who later iFramed in their content under tight deadlines. I built this particular interactive in less than an hour from scratch using CSS3, HTML5 and JavaScript elements.
I also oversaw the larger presentation, including customizing the open-source Coda Slider jQuery plugin to work within our project's constraints, and performing data analysis to ensure our team's conclusions were of statistical significance. Other team members who participated in the project included Stephanie Vatz, Rani Molla, Erin Richey and Kelty Ortiz.
And, of course, the semester-long preparation we received from Prof. Susan E. McGregor (and the donuts halfway in!) shouldn't go unnoticed.
[su_heading]
[/su_heading]


Just told by coworker to stop twittering. Apparently, it's not good for me.
12/2/2008, 5:27:03 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Just told by coworker to stop twittering. Apparently, it's not good for me.
12/2/2008, 5:27:03 PM
Favs: 0
Retweets: 0
link


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We take your privacy very seriously. Please read this privacy policy to learn more about how 1400° treats information, including personally identifiable information. We provide this Privacy Policy because you have a right to know what information we collect, how it is protected and used, and the circumstances under which it may be disclosed. If you have comments, suggestions, questions or concerns about our Privacy Policy, please contact us via email at<EMAIL_ADDRESS>or in writing at: 5600 W. Lovers Lane #116-205, Dallas TX 75209.
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|
CMSIS-Build
Version 0.10.0 (beta)
Tools, software frameworks, and work flows for productivity with CMSIS based projects
|
Collection of types locally defined for the CMSIS Project format.
Restricted string type excludes the use of special characters including spaces in order to allow tools to use the string in folder and/or file names.
| Parents | Element Chain | ||
|---|---|---|---|
| multiple | asflags, cflags, cxxflags | ||
| Attributes | Description | Type | Use |
| compiler | selects the compiler the contained information is targeted at. Choose from available list: GCC, AC5, AC6, IAR, Tasking, GHS, Cosmic, G++ | CompilerEnumType | required |
| add | commandline options to be added to the command line of the respective tool. | xs:string | optional |
| remove | commandline options to be removed from the command line of the respective tool (not supported on target level). | xs:string | optional |
Table: Device FPU The table lists values that indicate whether a CPU has an Floating Point Unit (FPU). The tokens can be used in the elements:
| Dfpu= | Description |
|---|---|
| NO_FPU | Hardware Floating Point Unit not present |
| FPU | Hardware Floating Point Unit present |
| SP_FPU | Single Precision Hardware Floating Point Unit present |
| DP_FPU | Double Precision Hardware Floating Point Unit present |
The table shows predefined values that identify whether a CPU has an Memory Protection Unit (MPU). The values can be used in the elements:
| Dmpu= | Description |
|---|---|
| MPU | Memory Protection Unit is present |
| NO_MPU | No Memory Protection Unit is present |
The table lists values representing the endianness of a device. The values can be used in the elements:
| Dendian= | Description |
|---|---|
| Little-endian | The least significant byte of a multi-byte access is located at the specified address. |
| Big-endian | The most significant byte of a multi-byte access is located at the specified address. |
| Configurable | The byte ordering of multi-byte accesses is configurable. |
Table: Security Model The table lists values that indicate whether an application is running in secure or non-scure mode, or whether trust-zone got disabled. The tokens can be used in the elements:
| Dsecure= | Description |
|---|---|
| TZ-disabled | The application/library built is executed by a processor which has TrustZone disabled. |
| Secure | The application/library built is executed in 'secure mode' |
| Non-Secure | The application/library built is executed in 'non-secure mode' |
Table: Cortex-M Vector Extensions The table lists predefined values that selects which instruction set from the Cortex-M Vector Extensions (MVE) are used during code generation. The tokens can be used in the elements:
| Dmve= | Description |
|---|---|
| NO_MVE | The application/library built is not using MVE instructions. |
| MVE | The application/library built is using MVE integer instructions. |
| FP_MVE | The application/library built is using MVE integer and floating point instructions. |
File category types define the use of component files within the application. Typically, these files are added to the project and processed by the build tools.
File categories are used in the following elements:
The table lists the predefined values for a file category.
| category= | Description |
|---|---|
| doc | Documentation |
| header | Header file used in the component. Sets an include file path and adds the file name attribute to the list of files to be added to a module using the #include statement. Note: specify only those files as header files that form part of the API of the component, required to use the component |
| include | Sets an include file path. Note: ensure that the name attribute specifies a directory and ends with a '/'. |
| library | Library file |
| object | Object file that can be added to the application |
| source | Startup-, system-, and other C/C++, assembler, etc. source files |
| sourceC | C source file |
| sourceCpp | C++ source file |
| sourceAsm | Assembly source file |
| linkerScript | linker script file that can be selected by tool-chains |
| utility | a command line tool that can be configured for pre- or post-processing during the build process |
| image | Files of image type are marked for special processing into a File System Image embedded into the application. This category requires the attr being set to template. |
| preIncludeGlobal | The specified file is added as a pre-include file to the compiler command line for all modules of the whole project (globally). |
| preIncludeLocal | The specified file is added as a pre-include file to the compiler command line for all modules of the component (locally). |
| other | Other file types not covered in the list above |
Represents a C/C++ compiler toolchain. The tokens can be used in the elements:
| Tcompiler= | Description |
|---|---|
| GCC | GNU Tools for Arm Embedded Processors. Refer to Arm GCC. |
| G++ | Code Sourcery GCC compiler for C and C++ (is now Mentor Graphics CodeBench). |
| AC5 | Arm Compiler for C and C++ Major Version 5. Refer to Arm Compiler. Due to incompatible command line syntax version 5 and 6 are listed as separate compilers. |
| AC6 | Arm Compiler for C and C++ Major Version 6. Refer to Arm Compiler. Note: Due to incompatible command line syntax version 5 and 6 are listed as separate compilers. |
| IAR | IAR compiler for C and C++. |
| Tasking | TASKING compiler for C and C++. |
| GHS | Green Hills Software compiler for C, C++, and EC++. |
The file attribute defines the special handling in the project when being used as configuration, template, or interface file. The table lists the values available as a file attribute.
| attr= | Description |
|---|---|
| config | The file is a configuration file of the component. It is expected that only configuration options are modified. The file is managed as part of the component, as a project-specific file typically copied into the component section of the project.s |
| template | The file is used as a source code template file. It is expected to be edited and extended by the software developer. The file can be copied into a user section of the project. |
Version specification identical to the CMSIS-Pack specification.
Version types are used in:


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Where to go for more
For more information on NDIToolbox, including the latest documentation and downloads, visit our website at nditoolbox.com. You can also contact David Forsyth directly:


Before Change
def choose_action(self, curr_state, phase=RunPhase.TRAIN):
assert not self.env.discrete_controls, "DDPG works only for continuous control problems"
// convert to batch so we can run it through the network
observation = np.expand_dims(np.array(curr_state["observation"]), 0)
result = self.actor_network.online_network.predict(observation)
action_values = result[0].squeeze()
if phase == RunPhase.TRAIN:
After Change
def choose_action(self, curr_state, phase=RunPhase.TRAIN):
assert not self.env.discrete_controls, "DDPG works only for continuous control problems"
result = self.actor_network.online_network.predict(self.tf_input_state(curr_state))
action_values = result[0].squeeze()
if phase == RunPhase.TRAIN:


ESPN’s Kirk Herbstreit Names College Football’s Best 1-Loss Team
by Andrew HolleranThree undefeated teams are the frontrunners for the College Football Playoff right now – LSU, Ohio State and Clemson. If all of those teams win out, they will be the top three seeds in the postseason.
The No. 4 spot is probably going to go to a one-loss team. There are several of them competing for that final spot.
ESPN college football analyst Kirk Herbstreit was asked to name his top one-loss team right now. He’s going with a team out of the SEC. It’s not Alabama, though.
“I think you’ve got to give Georgia the nod right now,” Herbstreit said.
Georgia is ranked No. 4 in the latest College Football Playoff rankings. Some, though, would give the nod to Alabama or Oregon.
Herbstreit added that if Georgia loses to LSU in the SEC Championship Game, it’ll open the door for someone else, namely the Pac-12 champion.
“If they end up losing the game, it opens up the discussion for the Big 12 champ, the Pac-12 champ and Alabama,” he said.
The ESPN college football analyst said he would probably give the nod to the Pac-12 champion in that case. Oregon and Utah both have one loss heading into the regular season’s final weeks.


tvorwachs\ClouDNS\Api\Zone\RecordApi
- Author: Tobias Vorwachs
- Copyright: 2017-21 Tobias Vorwachs
Synopsis
class RecordApi
extends Connection
{
- // Inherited members from Connection
- protected string $apiUrl;
- protected $authId;
- protected $authPassword;
- protected string $authType;
- protected boolean $sslCheck;
- public $Response;
- // methods
- public array listRecords()
- public array addRecord()
- public array modifyRecord()
- public array deleteRecord()
- public array copyRecords()
- public array importRecords()
- public array exportRecords()
- public array getAvailableRecordTypes()
- public array getAvailableTTLs()
- public array getSOADetails()
- public array modifySOADetails()
- public array importViaTransfer()
- public array changeRecordStatus()
- // Inherited methods from Connection
- public void __construct()
- public array setOptions()
- protected void login()
- protected mixed connect()
- protected string url_encode()
- protected void getAuth()
- protected void getDomain()
Hierarchy
Extends
Members
protected
-
$apiUrl
API credential information required to execute requests - $authId
- $authPassword
- $authType
-
$sslCheck
Verify SSL connection
public
-
$Response
storage for API responses
Methods
public
- addRecord() — Add new record to domain zone.
- changeRecordStatus() — Changes the status of the record to active or inactive
- copyRecords() — Copies all the records from a specified zone.
- deleteRecord() — Delete record of your domain zone.
- exportRecords() — Export the zone records in bind format.
- getAvailableRecordTypes() — Get the available record types you can set up.
- getAvailableTTLs() — Get the available TTL you can set up for the DNS records.
- getSOADetails() — Getting SOA details.
- importRecords() — Import records, defined in parameter.
- importViaTransfer() — Imports records from another server via zone transfer. Deletes all existing records
- listRecords() — List of records in the domain zone
- modifyRecord() — Modify record in domain zone.
- modifySOADetails() — Modify SOA details.
Inherited from tvorwachs\ClouDNS\Connection
protected
- connect() — Runs the final connection with all the data needed
- getAuth() — Returns the GET array to be used for authentication
- getDomain()
- login() — Test login details
- url_encode() — This section takes the input fields and converts them to the proper format for an http post. For example: "auth_id=username&auth_password=a1B2c3D4"
public
- setOptions() — Pass in options to set as an array


WebDAV Orion FileSystem plugin
This plugin provides support for a WebDAV file system plugin. The plugin and associated files must be placed in the WebDAV server directory
and installed as a plugin within Orion.
Certain files are needed for the plugin to be successfully loaded and these files can be placed in the same directory as the webdavFilePlugin.html.
Once the files are added, this file must be modified as follows
Change from:
Change to:


Jurgen Klopp to discuss Olympics with Mohamed Salah
by FSA EditorJurgen Klopp is set for talks with Mohamed Salah after Egypt qualified for the 2020 Olympics.
Liverpool manager Jurgen Klopp revealed he would speak to star Mohamed Salah about his plans to potentially play at next year’s Olympics.
Egypt’s Under-23s booked their place in Japan, winning the Africa U-23 Cup of Nations at home on Friday.
Quarter-finalists at London 2012, Egypt may want Salah as part of their squad, and Klopp said he would need to talk to his forward with the tournament to be held from July 22 to August 8 next year.
“I know this from an hour ago. I have no idea [what will happen],” Klopp said, via the Liverpool Echo.
“There are some problems I know in the future, this I know from an hour ago that Egypt have qualified for the Olympics.
“I have to speak to Mo. I don’t know if I do it today, or whenever. Who said they want him? Do they have a manager who said it?”
Salah has scored six goals and provided three assists in 11 Premier League games this season despite struggling with an ankle injury since a win over Leicester City in early October.
Klopp is unsure if the 27-year-old will be available when the league leaders visit Crystal Palace on Saturday.
“It is from the Leicester game. It was getting better and better and then… it is good but it was after the [City] game again, another tackle, it flared up again,” he said.
“It is not serious but in the short period we have to let it settle it is always tight for the game. We will see.
“He trained completely yesterday, a full session, but we have to see how he reacted.”


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Looks like there was a problem with the page you tried to access. Please select from the links above or to the right.Please select from the dropdown menu at the top-right.
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Looks like there was a problem with the page you tried to access. Please select from the links above or to the right.Please select from the dropdown menu at the top-right.


Welcome to the website for the Pod Manager tool (podman). This site features announcements and news around Podman, and occasionally other container tooling news.
What is Podman? Podman is a daemonless container engine for developing, managing, and running OCI Containers on your Linux System. Containers can either be run as root or in rootless mode. Simply put: `alias docker=podman`. More details here.


Thomas Edward "Thom" Yorke (born 7 October 1968) is an English musician best known as the singer and principal songwriter of the alternative rock band Radiohead.
Jonathan Richard "Jonny" Greenwood (born 5 November 1971) is an English musician and composer best known as the lead guitarist and keyboardist of the alternative rock band Radiohead.
Colin Charles Greenwood (born 26 June 1969) is an English musician best known as the bassist for the alternative rock band Radiohead.
Edward John "Ed" O'Brien (born 15 April 1968) is an English guitarist best known as a member of the alternative rock band Radiohead, with whom he has recorded nine studio albums.
Philip James "Phil" Selway (born 23 May 1967) is an English musician, singer, and songwriter best known as the drummer of English rock group Radiohead.


×
3'S FOOTBALL
DESCRIPTION
"Show your skills and score the goal." The speed of attack, the use of triangulation, and the strategies bring aspects of hockey into the game. The quick shift from one end of the field to the otherafter a goal is scored, or upon loss of possesion is reminiscent of basketball.
RULES
- Each team will have to defend the goal on its side as well as score the goal on the opposite side.
- Each team can have a maximum of 4 team members (including 1 sub).
- Duration of the game will be 6 min (each half will be 3 min).
- Substitution will be rolling.
- Only ground passes are allowed.
- Goals are allowed only from centre or after centre.
- If match is drawn,3 penalty will be allowed for each team, Penalty is taken from centre.
- Goal kick, Freekick, throw, corner will be taken only by one step.
- Any act of misbehaviour or misconduct will lead to immediate disqualification of the team.
- The decision taken by the refereewillbe final.


Your Journey into the World of Watercolors Begins Here
Here are some of our favorite resources for watercolor enthusiasts
Youtube
Mind of Watercolor
Instagram


You need the "ETU-Driver Service" application running
with "WebSocket server" flag set on
left SD
right SD
left CD
right CD
left NOD
right NOD


--- layout: resource title: Moldova ---
Know any other resources? Send us an email or add links to this page with a Pull request on GitHub!


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|
Bullet Collision Detection & Physics Library
|
Public Member Functions | |
| MinkowskiDiff () | |
| void | EnableMargin (bool enable) |
| btVector3 | Support0 (const btVector3 &d) const |
| btVector3 | Support1 (const btVector3 &d) const |
| btVector3 | Support (const btVector3 &d) const |
| btVector3 | Support (const btVector3 &d, U index) const |
Public Attributes | |
| const btConvexShape * | m_shapes [2] |
| btMatrix3x3 | m_toshape1 |
| btTransform | m_toshape0 |
| btVector3(btConvexShape::* | Ls )(const btVector3 &) const |
Definition at line 80 of file btGjkEpa2.cpp.
|
inline |
Definition at line 91 of file btGjkEpa2.cpp.
|
inline |
Definition at line 122 of file btGjkEpa2.cpp.
Definition at line 139 of file btGjkEpa2.cpp.
Definition at line 143 of file btGjkEpa2.cpp.
Definition at line 129 of file btGjkEpa2.cpp.
Definition at line 133 of file btGjkEpa2.cpp.
Definition at line 88 of file btGjkEpa2.cpp.
| const btConvexShape* gjkepa2_impl::MinkowskiDiff::m_shapes[2] |
Definition at line 82 of file btGjkEpa2.cpp.
| btTransform gjkepa2_impl::MinkowskiDiff::m_toshape0 |
Definition at line 84 of file btGjkEpa2.cpp.
| btMatrix3x3 gjkepa2_impl::MinkowskiDiff::m_toshape1 |
Definition at line 83 of file btGjkEpa2.cpp.


Beta This is a test version of the layout of this page. Take the survey to help us improve it
Guidance
Guidance on formats and timings for submitting data to Ofqual.
Ref: Ofqual/17/6143 PDF , 838KB , 14 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/17/6177 PDF , 84.3KB , 2 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/17/6142 PDF , 49.6KB , 1 page
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/16/5890 PDF , 69.6KB , 6 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/17/6153 PDF , 440KB , 18 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/17/6179 PDF , 88.5KB , 14 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/17/6169 PDF , 78.6KB , 9 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/17/6170 PDF , 143KB , 14 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/16/6027 PDF , 134KB , 11 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/16/5891 PDF , 65.6KB , 6 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/16/5892 PDF , 83.7KB , 8 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/16/5893 PDF , 69.9KB , 6 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/16/5894 PDF , 75.1KB , 7 pages
Ref: Ofqual/16/5898 PDF , 70.4KB , 7 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/16/5903 PDF , 74.3KB , 7 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/16/5904 PDF , 75.7KB , 8 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/16/5905 PDF , 83.3KB , 8 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/17/6172 PDF , 83.3KB , 11 pages
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Ref: Ofqual/17/6173 PDF , 397KB , 18 pages
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We collect a wide range of data about regulated qualifications, from which we produce official and national statistics reports.
The documents on this page provide guidance if you work for an organisation which provides data to Ofqual. They describe the format and requirements for each of the data collections we run.
Data should be sent to us using our secure FTP site. Details on how to connect to our FTP site are provided in an attached document.
You will also find a timetable detailing the schedule of data collection for awarding organisations with both vocational and general qualifications as well as a separate timetable for awarding organisations with vocational qualifications only.
Published: 23 March 2016
Updated: 13 March 2017
From: Ofqual


Remote command:
The protocol used for sending a remote command is shown below.
| Step | Direction | Packet | ||
|---|---|---|---|---|
|
|
|
|
|
CMD |
|
|
|
ACK |
The scancode of the key is sent in the last two bytes of the
command.
Scancodes are defined in the section B? to B?? of the French TI-89
guidebook
or p. 384 of the US TI-89 guidebook.
Tim: for French GuideBook, I have some photocopies of the scancodes
but at home (so on Saturday !).
Example:
| PC: | 08 87 31 00 | Command: Key <1> |
| TI: | 98 56 00 00 | Acknowledgement of command |
If the calculator is put into the self test menu (<F5> + <diamond> + <(> + <s> from the home screen) then sent back to the home screen, then whenever a command result becomes available the calculator will send it through the link port as expression data. Each transmission from the calculator does not include a packet header or checksum but is terminated with 0xFF (see below).
Remote Control Mode:
The remote control mode can be activated either by pressing <F5> + <DIAMOND> + <(>+<R> or by sending this key sequence directly to the calculator via remote commands. In this mode, the calculator can receive key codes as if they have been typed on the keyboard and send the result via the link port.
To control the calculator, a scancode must be sent trough the link port in a command packet. After each scancode is received, the calculator replies with an FFh byte. Whenever a command result becomes available, the calculator will send it through the link port as expression data, followed by an FFh byte.
Example:
| PC: | 08 87 31 00 | Command: <1> |
| TI: | FF | Acknowledgement of command |
| PC: | 08 87 2B 00 | Command: <+> |
| TI: | FF | Acknowledgement of command |
| PC: | 08 87 41 00 | Command: <a> |
| TI: | FF | Acknowledgement of command |
| PC: | 08 87 0D 00 | Command: <ENTER> |
| TI: | FF | Acknowledgement of command |
| 41 2B 31 FF | Reply with result "a+1" |
|
Packet Formats |
Table of Contents |
Screenshots |


PM Imran convenes govt's negotiating committee meeting
by https://www.facebook.com/dunyanewsISLAMABAD (Dunya News) – Prime Minister Imran Khan has summoned a meeting of the government’s negotiating committee to meet today (Tuesday) in Islamabad, Dunya News reported.
According to the sources, the meeting to the government’s negotiating committee is scheduled to be held at the Prime Minister office in Islamabad at 11:00am. PM Imran will preside over the meeting.
Sources further informed that the meeting will review the current political situation in the country.
The meeting will also review the situation arise after the JUI-F anti-government Azadi March.


Enter your formula:
Please enter extra info:
Error: {{ error }}
{{ pretty }}
Answer is: {{ answer }}


--- layout: post title: Updated Site navigation date: 2011-11-13 10:30:01.000000000 -05:00 type: post published: true status: publish categories: [] tags: - Announcement - blog meta: _encloseme: '1' orig_url: http://blogs.msdn.microsoft.com/b/phaniraj/archive/2011/11/13/updated-site-navigation.aspx orig_site_id: '7524' orig_post_id: '10236609' orig_parent_id: '10236609' orig_thread_id: '787427' _wds_ratings_users: '0' orig_application_key: phaniraj orig_post_author_id: '56365' orig_post_author_username: PhaniRajuYN orig_post_author_created: Nov 10 2006 05:47:39:000PM orig_is_approved: '1' orig_attachment_count: '0' orig_url_title: http://blogs.msdn.com/b/phaniraj/archive/2011/11/13/updated-site-navigation.aspx opengraph_tags: | author: login: phanirajuyn email<EMAIL_ADDRESS>display_name: Phani Raju MSFT first_name: '' last_name: '' ---
I've updated the site navigation to make it easier for my blog visitors to find useful links and quick answers to the questions they come here with.
After analyzing the number of views on my blog posts, I've curated them into links in the left hand side under :


|
SPHinXsys
alpha version
|
A shape whose geometry is defined by a multi polygon. More...
#include <multi_polygon_shape.h>
Inherits SPH::Shape.
Public Member Functions | |
| MultiPolygonShape (const std::string &shape_name) | |
| MultiPolygonShape (const MultiPolygon &multi_polygon, const std::string &shape_name="MultiPolygonShape") | |
| virtual bool | isValid () override |
| virtual bool | checkContain (const Vec2d &input_pnt, bool BOUNDARY_INCLUDED=true) override |
| virtual Vec2d | findClosestPoint (const Vec2d &input_pnt) override |
| Public Member Functions inherited from SPH::Shape | |
| Shape (const std::string &shape_name) | |
| std::string | getName () |
| void | setName (const std::string &name) |
| BoundingBox | getBounds () |
| bool | checkNotFar (const Vecd &input_pnt, Real threshold) |
| bool | checkNearSurface (const Vecd &input_pnt, Real threshold) |
| Real | findSignedDistance (const Vecd &input_pnt) |
| Vecd | findNormalDirection (const Vecd &input_pnt) |
Protected Member Functions | |
| virtual BoundingBox | findBounds () override |
Protected Attributes | |
| MultiPolygon | multi_polygon_ |
| Protected Attributes inherited from SPH::Shape | |
| std::string | name_ |
| BoundingBox | bounding_box_ |
| bool | is_bounds_found_ |
A shape whose geometry is defined by a multi polygon.
|
inlineexplicit |
Default constructor.


{% extends "layout.html" %} {% block title_tag %}Team Builder | password reset{% endblock %} {% block content %}
Not to worry, it happens to all of us. Please enter the email address that is associated with your account and you will receive instructions on how to change it.


Umwali Diane , copyright © 2019
When someone near and dear to your heart turns another year older, you’ll want to do everything you can to make their day extra memorable. Whether you’re throwing a birthday party, a cocktail party or planning a dinner at the honoree’s favorite restaurant, it’s tradition to give the guest of honor a Happy Birthday card. As if picking out a card wasn’t tough enough, on top of that you’ll need to craft a happy birthday message too.
This application will help you to calculate the day u were born, and giving you akan name depending on the day u were born according to Ghanian culture. People from Ghan give a born child akan name from the day they born and those name are different,some are for boys other are for Girls.
Enjoy this
this application is about calculation of Akan name
Here below is table that helps you to calculate your day! you require to enter your birthday and the century you were born , then you click on button (Submit) to see your akan name
use this formula to calculate century: (Born year-1)/100 +1
Umwali Diane , copyright © 2019


Event Location:
Christchurch Polytechnic Institute of Technology (CPIT)
Madras Street
Christchurch, , New Zealand
Abstract:
In this session I'll be using a fictional auction website's database (which I've created for demonstration purposes) to take an accelerated look at what a typical web-scale database application's performance pain points might be as it grows, both in size and load. We'll simulate some users, monitor some stuff, see what breaks, and then fix it. This will include some basic design and indexing best practices to kick things off - but we'll quickly move on to more interesting options for getting the most out of SQL Server under load. Time allowing, I'll also do some demo's on the impact that SQL Server 2014 In-Memory OLTP (i.e. Project Hekaton) tables have compared to our previous best efforts in 2012, and whether natively compiled stored procs will give us any additional zing as well!
Speaker(s): David Curlewis,
Abstract:
A look at the High Availability and Disaster Recovery options available natively within SQL server. Covering everything from backups alone to Mirroring, LogShipping and SQL Clustering. Time permitting we'll delve into the advantages and disadvantages that SQL 2012 Availability Groups present and talk about how the HA and DR landscape is changed by the advent of cloud computing.
Speaker(s): Rob Douglas,
Abstract:
Event Notifications are a great tool often not used by DBA's. I will show you how this is a good introduction into the world of Service Broker and why it is better than triggers or SQL Trace. I will demo a practical use of auditing that we use in Kiwibank that you can take away and use yourself.
Speaker(s): Brent McCracken,
Abstract:
Learn from a Microsoft Certified Master how to secure your SQL Server infrastructure and your Windows installations to enhance resiliency and minimize exposure to attacks—all without touching any of your code!
Speaker(s): Argenis Fernandez,
Abstract:
Learn 10 ways to dramatically improve your data quality using the tools you already own. This session is targeted for developers implemeting business intelligence, doing integration work or implementing new systems where data quality can make or break the success of your project.
Speaker(s): Ray Bachert,
Abstract:
Keynote and introduction to all sessions and tracks at SQLSaturday #252 Christchurch New Zealand. The event will run alongside events from the .NET group, Infrastructure group and Sharepoint / CRM group. There's a track for each so this is just to give people a taster for the rest of the day.
Speaker(s): Martin Catherall,
Abstract:
The release of Hekaton, Microsoft’s In Memory OLTP enhancements for SLQ Server, promises to change the kind of high performance solutions that can be implemented using SQL Server. In this session we'll look at what Hekaton actually is, how it achieves the 10x-50x speed improvements on the same hardware and how architects and developers can start planning future application.
Speaker(s): Dave Dustin,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
With more than 35 years industry experience, Dave has worked with organisations and data systems of all sizes. He is currently Principal Engineer at Xero.
LinkedIn: http://www.linkedin.com/in/argenis
Contact: http://blog.purestorage.com/author/argenisfernandez/
Argenis is a Principal Architect at Pure Storage. He works with customers around the world to make sure they don’t have to worry much about their infrastructure for Data. He is a former Data Platform MVP, former VMware vExpert, Microsoft Certified Master, and more recently worked in the Microsoft Azure Data/SQL Server engineering team as a Principal PM in the Tiger team.
Contact: http://www.gumption.co.nz
Robs SQL history started as a remote DBA, branched into consultancy and now includes providing SQL Solutions to a variety of businesses, government departments and banks throughout Australia and New Zealand using a variety of native SQL solutions to meet their performance, higher availability and Disaster Recovery needs.
Business Intelligence and Data Quality Consultant | Founder The Data Quality Service Ray has 20 years experience in business intelligence, data quality and project management at organizations of all sizes including Microsoft, SAP, City Care, University of Canterbury and Farmlands/CRT. His goal is to make it possible for companies of all sizes to improve the quality of their data without having to spend a lot of time or money to get results.
LinkedIn: https://www.linkedin.com/in/martincatherall
Contact: http://martincatherall.com
Martin is a data consultant in Melbourne, Australia, a Microsoft Data Platform MVP, and PASS Regional Mentor for the Asia Pacific (APAC) region. Martin founded the Christchurch, New Zealand PASS Local Group and lead the group for a number of years before relocating to Melbourne. He has been using SQL Server in various roles since 2000. In addition to anything data related, he enjoys playing the guitar and having fun with his family.
Contact: http://www.curlewis.co.nz
I'm the database team lead at Trade Me; New Zealand's busiest website. I've been working with SQL for around 13 years now, and still learn something new every day (although I hope I've picked up enough tips tricks along the way that I can show you something new). ;-)
LinkedIn: http://nz.linkedin.com/pub/brent-mccracken/8/510/a34/
Contact: http://www.sqldba.co.nz
I've been working with SQL Server since v6.5 and nearly completed my MCM qualification. I am the technical lead for the database operations team in a nationwide bank in New Zealand.
The following is a list of sponsors that helped fund the event.


--- layout: post title: "My Week in Review" date: 2018-10-21 16:25:00 +0000 image: https://s3.amazonaws.com/audreywatters/2018-10-21-pelican.jpg imagecredits: https://www.flickr.com/photos/cogdog/25421698541 ---
Icon credits: The Noun Project


{% include "header.html" %} {% include 'top_nav_bar.html' %} {% include 'noscript.html' %}
Incident ID |
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Status |
{{ incident.status }} | Event Summary | {{ incident.event.summary }} | |||||
Element |
{{ incident.element }} | Severity |
{{ incident.event.severity }} | |||||
Count |
{{ incident.total_incidents }} | Team |
{{ incident.event.team }} | |||||
Incident acknowledged at
{{ incident.acknowledged_time }} by
{{ incident.acknowledged_by }}
|
||||||||
Incident acknowledged at
{{ incident.acknowledged_time }} by
{{ incident.acknowledged_by }}
|
||||||||
Incident cleared at
{{ incident.close_time }} by
{{ incident.closed_by }}
|
||||||||
| Suppressed ? | {% if incident.is_suppressed %} {% else %} No {% endif %} | |||||||
| JIRA: | {% if jira %}
Ticket: {{ jira.ticket }}
created by {{ jira.user.username }} at
{{ jira.creation_time }}
|
{% else %}
{% endif %} | ||||||
| Action: | {% if incident.status == 'Active' %} {% elif incident.status == 'Acknowledged' %} {% endif %} |
| Timestamp | Message |
|---|---|
| {{ i.timestamp }} | {{ i.msg }} |
| Timestamp | Event Action | Response Text |
|---|---|---|
| {{ actions.dateAdded }} | {{ actions.eventAction.plugin }} | {{ actions.text }} |
|
{{ comment.text }}
|


KLUTE (director: Alan J. Pakula; screenwriters: Andy Lewis/Dave Lewis; cinematographer: Gordon Willis; editor: Carl Lerner; cast: Jane Fonda (Bree Daniels), Donald Sutherland (John Klute), Roy Scheider (Frank), Dorothy Tristan (Arlyn Page), Charles Cioffi (Peter Cable), Rita Gam (Trina), Anthony Holland (Actor's Agent), Richard B. Shull (Sugarman), Shirley Stoller (Momma Rose), Robert Milli (Tom Gruneman), Betty Murray (Holly Gruneman), Vivian Nathan (Analyst); Runtime: 114; Warner Bros.; 1971)
Reviewed by Dennis Schwartz
A reticent small town Pennsylvannia private detective John Klute (Donald Sutherland) is hired to track down an engineer researcher who never returned from New York City six months ago. Klute is a friend of the victim's family and is hired by the research firm's top executive Peter Cable (Cioffi), after the FBI failed to come up with anything concrete. It's the family's hope that since Klute was a friend of Tom Gruneman (Milli), he will doggedly search for him, which will overcome his lack of investigating experience. There are disturbing pornographic letters that suddenly materialize, ones that Tom wrote to a high class NYC call-girl Bree Daniels (Jane Fonda), which mention how he likes to get beaten.
The FBI tells Klute that Bree can't remember the john, but remembers getting beaten two years ago by one of her customers. The FBI closed her business down as a result of the investigation and after spending a brief stay in jail, she is trying to land either a modeling or acting job, while doing tricks on a part-time basis. She is also seeing a psychiatrist so she can understand why she has a need to be a call-girl.
She reluctantly agrees to help Klute after receiving heavy breathing calls and sensing that someone is following her. Their relationship becomes the heart of the film, rather than the mystery story. The film's main asset is that it is played as a psychological character study of the Jane Fonda character, who becomes a prostitute because she can control men and is good at it. Sutherland, in an understated performance, is revealed as someone who becomes overprotective of her, even to the point of it being an obsession, going beyond his call of duty to get to the bottom of the case. Their love affair which emerges unexpectantly, is unsettling to both of them, but real feelings develop on both sides, to the surprise of each, and how they resolve it, is what gives this film its bit of magic.
The mystery part was solved early on in the film, as we see Cable listening to a tape of Bree he secretly recorded, where she states her view that nothing one does is wrong, let it all hang out. The suspense comes as we learn what happened to Tom and how and why he was framed by Cable. It now becomes a matter of proving he did it and seeing if Klute can protect Jane from him.
The film takes us into Bree's world of pimps, high-rollers, prostitutes, and drug-addicts, a world Klute thinks is pathetic. She is an intelligent woman, whose outer persona is one of a confidant woman, but inside she is a scared girl, afraid of the dark and of being alone. She has just broken up with her pimp husband Frank and has gotten away from the other girls working for him, the one who committed suicide and was the girl who actually set her up with the man posing as Tom, and with a junkie Arlyn, who might know who is still after her. These scenes were too predictable and offered no real insight into that underground world of prostitution, leaving many dry spells in the thin story line. The three murders Cable commits were all done off camera, so he is never viewed as a violent man, but he becomes a source of analysis when he confesses to Bree why he did what he did.
Jane Fonda did get into the head of an intelligent call-girl who is searching for answers to her life, enough so she won a Best Actress Oscar for her performance, though I thought she was at times shrill and played the role with too much of a calculated effort. I actually preferred Donald Sutherland's contrasting role, even though the film wasn't about him, I thought his normalcy was harder to convey than her hipster role. It was a film about conflicts over emotional involvement and independence, whereas I thought Fonda could recover more easily from this tragic part of her life than Sutherland could.
Klute was fresh when it came out in the 1970s, but time has taken away much of its boldness. Even the semi-nude scenes are very tame by today's standards. What remains enticing, is the ambiguity of the couple's fate as lovers after the crisis is resolved, as each of them has made it clear, they belong in the world they staked out for themselves, no matter how emotionally they may need each other: Sutherland as a hick, Fonda as a city-slicker.
REVIEWED ON 10/11/2000 GRADE: C+
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


A code generator for the Bond scripting language.
More...
#include <bond/compiler/codegenerator.h>
A code generator for the Bond scripting language.
The CodeGenerator traverses the given parse tree and compiles it to bytecode that can be interpreted by a virtual machine. The bytecode is written to the given OutputStream in the CBO file format.
- See also
- ParseNode
◆ CodeGenerator()
Constructs a CodeGenerator object.
- Parameters
-
| allocator | Allocator used for temporary memory allocations made by the Generate method. |
| errorBuffer | Buffer where error messages are pushed when code generation errors are encountered. |
| pointerSize | Size of pointers used by the target virtual machine that will execute the Bond bytecode. It is required to generate correct pointer arithmetic instructions for the target platform. |
◆ ~CodeGenerator()
| Bond::CodeGenerator::~CodeGenerator |
( |
| ) |
|
|
inline |
◆ Generate()
Generates bytecode for a list of parse trees.
- Parameters
-
| translationUnitList | A linked list of parse trees to be compiled to bytecode. |
| stream | OutputStream to which the generated bytecode is written in the CBO file format. |
The documentation for this class was generated from the following file:
- include/bond/compiler/codegenerator.h


TABLE OF CONTENT
A recent request from a customer caught my attention. They were trying to set up a CD pipeline that should deploy packages to production when there is a new tag pushed to the repository. At the same time, they wanted some control over the process so that not everyone can init a release by pushing a tag to the repository.
In a more standard scenario, you would use a branch protection rule to prevent pushing to main
branch, together with environment protection rule that prevents deployments to production from any other branch but main
. However, in this case, they are using tags to trigger the deployment. So, we need to protect the tags. Currently, it’s not obvious that you can restring environments to specific tags or tag patterns. Let’s see how we can do that.
Protecting tags #
The first thing we need to do is to create a new tag protection rule. The rule should look like this:
The rule is pretty simple. It only allows the users with admin or maintain permissions in the repository to be able to create tags. This is exactly what we need.
Protecting environments #
Now, we need to set up new environment protection rule. We will call it production
. The rule should look like this:
Note that I’m using the tag name pattern to match the tags that should be deployed to production, despite the UI saying “branches”. The pattern is release_*
This means that any tag that starts with release_
is allowed to be deployed to production.
Deployment workflow #
And finally, I’m creating a simple workflow that will deploy the package to production when a new tag is pushed to the repository. The workflow looks like this:
https://gist.github.com/asizikov/89d1b663593d9b934622d51e27658287
Protection rules in action #
Let’s see what it looks like when an unprivileged collaborator tries to push a tag to the repository.
Also, an unprivileged collaborator cannot create a new release with protected tag.
So far so good. Now let’s see what happens when maintainer pushes a tag to the repository.
And the workflow is triggered and completed successfully.
The same applies to creating a new release with a protected tag.
Option #
Another option is to trigger the workflow on a new release:
# trigger workflow on release with tag name pattern
name: ⚙ deployment on release created
on:
release:
types: [published]
jobs:
deployment:
if: github.event.release.tag_name == 'release_*'
runs-on: ubuntu-latest
environment: production
steps:
- name: ▶ Run a one-line script
run: echo 'deployment to production'
This will trigger the workflow when a new release is created with a tag that matches the pattern. The downside is that you need to create a new release every time you want to deploy to production. Also, you may need to add extra scripting to the workflow to make sure that the tag is created in main
branch.
git branch --contains tags/release_011
Conclusion #
Would I recommend using this approach? I would say it depends on your use case. The problem with it is that you cannot easily prevent users from tagging a commit that is not in the main
branch, the same applies to releases, the UI allows you to pick any branch.
When your situation doesn’t allow you to deploy on every commit/merge to main
branch you may want to consider other branching strategies, like GitFlow, where you have a dedicated branch for releases. In this case, you can use branch protection rules to prevent pushing to main
and release
branches.
Useful links #
Disclosure #
I’m employed by GitHub at the time of writing this post. All opinions are my own.