| Package | Description |
|---|---|
| unitControlModule.unitWrappers | |
| workerManagerResourceSpotAllocation |
| Modifier and Type | Class and Description |
|---|---|
class |
PlayerUnitTerran_SCV
PlayerUnitTerran_SCV.java --- Terran SCV Class.
|
class |
PlayerUnitWorker
PlayerUnitWorker.java --- Wrapper for a general worker Unit.
|
| Modifier and Type | Field and Description |
|---|---|
private java.util.HashSet<ResourceManagerEntry> |
RefineryWrapper.assignedWorkers |
private java.util.HashSet<ResourceManagerEntry> |
MineralPatch.assignedWorkers |
private java.util.HashMap<bwapi.Unit,java.util.HashSet<ResourceManagerEntry>> |
MineralPatch.mappedSpots |
private java.util.HashMap<ResourceManagerEntry,bwapi.Unit> |
MineralPatch.mappedWorkers |
| Modifier and Type | Method and Description |
|---|---|
boolean |
WorkerManagerResourceSpotAllocation.addGasGatherer(ResourceManagerEntry entry)
Function for adding a worker to the
RefineryManager . |
boolean |
WorkerManagerResourceSpotAllocation.addMineralGatherer(ResourceManagerEntry entry)
Function for adding a worker to the
MineralPatchManager . |
boolean |
ResourceManager.addToManager(ResourceManagerEntry entry) |
boolean |
IResourceManager.addToManager(ResourceManagerEntry entry)
Function for adding a
ResourceManagerEntry to a resource manager. |
boolean |
RefineryWrapper.addWorker(ResourceManagerEntry worker) |
boolean |
MineralPatch.addWorker(ResourceManagerEntry worker) |
boolean |
GatheringSource.addWorker(ResourceManagerEntry worker)
Function for adding a
ResourceManagerEntry to a
GatheringSource . |
private boolean |
ResourceManager.assignWorker(ResourceManagerEntry worker)
Function for assigning a new worker to a stored
GatheringSource . |
int |
ResourceManager.SortInterface.compare(ResourceManagerEntry worker,
T firstGatheringSource,
T secondGatheringSource) |
int |
ResourceManager.Sorter.compare(ResourceManagerEntry worker,
T firstGatheringSource,
T secondGatheringSource) |
int |
MineralPatchManager.Sorter.compare(ResourceManagerEntry worker,
T firstGatheringSource,
T secondGatheringSource) |
boolean |
ResourceManager.contains(ResourceManagerEntry entry)
Function for testing if the
ResourceManager contains a specific
ResourceManagerEntry / worker. |
boolean |
RefineryWrapper.containsWorker(ResourceManagerEntry worker) |
boolean |
MineralPatch.containsWorker(ResourceManagerEntry worker) |
boolean |
GatheringSource.containsWorker(ResourceManagerEntry worker)
Function for testing if a
ResourceManagerEntry was previously
added towards the GatheringSource . |
private IResourceManager |
WorkerManagerResourceSpotAllocation.findManager(ResourceManagerEntry entry)
Function for finding the
IResourceManager that contains the
provided ResourceManagerEntry as a assigned worker. |
bwapi.Unit |
WorkerManagerResourceSpotAllocation.getGatheringSource(ResourceManagerEntry entry)
Function for retrieving the gathering source of the
ResourceManagerEntry that it was assigned to internally. |
bwapi.Unit |
ResourceManager.getGatheringSource(ResourceManagerEntry entry) |
bwapi.Unit |
RefineryWrapper.getGatheringSource(ResourceManagerEntry worker) |
bwapi.Unit |
MineralPatch.getGatheringSource(ResourceManagerEntry worker) |
bwapi.Unit |
IResourceManager.getGatheringSource(ResourceManagerEntry entry)
Function for retrieving the internally assigned gathering source of the
specified
ResourceManagerEntry . |
bwapi.Unit |
GatheringSource.getGatheringSource(ResourceManagerEntry worker)
Function for actually retrieving the Unit / gathering spot that a
previously added worker was assigned to internally.
|
boolean |
WorkerManagerResourceSpotAllocation.isAssignedGathering(ResourceManagerEntry entry)
Function for testing if a
ResourceManagerEntry is assigned to
either a MineralPatchManager OR a RefineryManager . |
boolean |
WorkerManagerResourceSpotAllocation.isAssignedGatheringGas(ResourceManagerEntry entry)
Function for testing if a
ResourceManagerEntry is assigned to a
RefineryManager . |
boolean |
WorkerManagerResourceSpotAllocation.isAssignedGatheringMinerals(ResourceManagerEntry entry)
Function for testing if a
ResourceManagerEntry is assigned to a
MineralPatchManager . |
private boolean |
MineralPatch.mapWorker(ResourceManagerEntry worker)
Function for mapping a worker to a specific single gathering spot since
there are multiple possible ones at a single BaseLocation.
|
boolean |
ResourceManager.removeFromManager(ResourceManagerEntry entry) |
boolean |
IResourceManager.removeFromManager(ResourceManagerEntry entry)
Function for removing a
ResourceManagerEntry from a resource
manager. |
boolean |
WorkerManagerResourceSpotAllocation.removeGatherer(ResourceManagerEntry entry)
Function for removing a worker from the
IResourceManager that he
is currently assigned to. |
private boolean |
ResourceManager.removeWorker(ResourceManagerEntry worker)
Function for removing a worker from the
GatheringSource that he
was previously assigned to. |
boolean |
RefineryWrapper.removeWorker(ResourceManagerEntry worker) |
boolean |
MineralPatch.removeWorker(ResourceManagerEntry worker) |
boolean |
GatheringSource.removeWorker(ResourceManagerEntry worker)
Function for removing a worker from the
GatheringSource he was
previously added to. |
private void |
ResourceManager.sortGatheringSources(ResourceManagerEntry worker,
ResourceManager.SortInterface<GatheringSource> sorter)
Function for sorting the gathering sources of this instance.
|


time is what we want most,but what we use worst
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FAQ¶
Q: “Why should I use SNAPPy?
A: Do you want to do HIV-1 subtyping/alignment in large numbers? Do you have to process your HIV-1 sequences locally because ethic concerns or data privacy policy? Do you want a tool for HIV-1 subtyping/alignment that scales with the amount or computational resources you have? Do you want a tool that gives simple outputs but also allows you to dive deep in intermediate files and how the decisions were made? If you answered was yes to any or all or the previous questions SNAPPy is a tool for you.
Q: “Can SNAPPy run on a windows machine?
A: We tested SNAPPy in windows 10 using the Windows Subsystem for Linux . It should permor as well as in a native UNIX based machine.
Q: “Is there any graphical user interface to use SNAPPy?
A: Currently, SNAPPy is a command base tool. However, we are trying to implement more user friendly ways to use SNAPPy without losing functionality.
Q: “Why using BLAST in SNAPPy?
A: We decided to use BLAST for the first version of SNAPPy because it is reliable, extensively tested and easy to implement. We are aware of more “modern” BLAST-like tools, but one needs to recognize that BLAST has decades of being “battle tested”. This decision does not restrict the usage of other tools/software in future versions of SNAPPy.
Q: “I used SNAPPy to subtype 100k sequences and the outputs are occupying a lot of disk space (several dozens gigabytes), is it normal?
A: Please keep in mind that SNAPPy is a complex pipeline and performs several analysis. Each of those generate outputs. Everything is multiplied by the number of inputs, even if each input occupies an almost negligible amount of disk space the sum of all of them will result in a large value. At the end of each run SNAPPy automatically deletes an hidden folder created by Snakemake named ‘.snakemake’, this folder is extremely large and its deletion will save some space ( do not delete it if the pipeline is still being executed).
Q: “Why can I not put several FASTA files inside the input folder?
A: This was a development decision. This may change in the future but for the current SNAPPy version we believe that is the best option for both the user and the pipeline.


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{% extends 'ui/base.html' %} {% block title %}System Settings | BioQueue{% endblock %} {% block content %}
{% if mail_protocol == 'ssl' %} Use SSL Use TLS {% elif mail_protocol == 'tls' %} Use SSL Use TLS {% else %} Use SSL Use TLS {% endif %}
Latest version: Fetching...
Current version: {{ cv }}
Update
If the jobs have indeed finished, but BioQueue still shows the jobs are running, you can click this button to reset the status of the jobs.
Clean Dead Lock
If protocol is changed, then you may want to put an 'audit' tag to jobs finished with an old protocol.
Audit check


| Name | Total Lines | Lines of Code | Total Coverage | Code Coverage |
|---|---|---|---|---|
| TOTAL | 862 | 670 | 70.30%
|
73.13%
|
| app/controllers/application_controller.rb | 9 | 7 | 66.67%
|
57.14%
|
| app/controllers/arrangements_controller.rb | 31 | 21 | 25.81%
|
28.57%
|
| app/controllers/trips_controller.rb | 87 | 62 | 11.49%
|
14.52%
|
| app/controllers/vehicles_controller.rb | 74 | 52 | 12.16%
|
15.38%
|
| app/models/arrangement.rb | 7 | 7 | 71.43%
|
71.43%
|
| app/models/person.rb | 20 | 17 | 85.00%
|
82.35%
|
| app/models/trip.rb | 31 | 25 | 74.19%
|
72.00%
|
| app/models/vehicle.rb | 9 | 8 | 77.78%
|
75.00%
|
| spec/models/person_spec.rb | 218 | 188 | 92.66%
|
91.49%
|
| spec/models/trip_spec.rb | 217 | 171 | 88.02%
|
90.06%
|
| spec/models/vehicle_spec.rb | 132 | 103 | 90.91%
|
88.35%
|
| spec/spec_helper.rb | 27 | 9 | 29.63%
|
33.33%
|
Generated on 2010-11-02 07:37:01 -0700 with rcov 0.9.8


Customize Toy Car
Home
Garage
Profile
Choosing a car and customization
SEDAN
Start customize it
TRUCK/JEEP
Start customize it
CHARACTER CAR
Start customize it


{% extends "layout.html" %} {% block body %}
| Price | {{company.ask_price}} |
|---|---|
| Currency | {{company.currency}} |
| Stock Exchange | {{company.exchange}} |
| Percent Change | {{company.percent_change}} |
| Start | {{company.open_price}} {{company.currency}} |
| End | {{company.previous_price}} {{company.currency}} |
| Year High | {{company.year_high}} |
| EPS | {{company.eps}} |
| PEG | {{company.peg}} |
| Percent Change Fifty | {{company.percent_change_fifty}} |
| Volume | {{company.volume}} |
| Average Volume | {{company.avg_volume}} |
| Market Cap | {{company.market_cap}} |


new Chessalyzer()
Methods
-
<static> generateComparisonHeatmap(data1, data2, square, fun, optData)
-
Generates a comparison heatmap out of the tracked data. There needs to data in both banks you pass as bank1 and bank2 params. The heatmap for both banks is calculated and then the relative differences between both banks are calculated. For example, if the heatmap value for "a1" of bank1 is 10 and the value of bank2 is 5, the returned value for "a1" would be 100% ([[10/5] -1] *100).
Parameters:
Name Type Description data1
Object Dataset 1 data2
Object Dataset 2 square
String | Array The square the data shall be generated for. Notation can be 'a1' or [7,0]. fun
function The evaluation function that generates the heatmap out of the saved data. See generateHeatmap for a more detailed description. optData
Optional data you may need in your eval function Returns:
Array with 3 entries:- 8x8 Array containing the heat map values for each tile
- The minimum value in the heatmap.
- The maximum value in the heatmap.
- Type
- Array
-
<static> generateHeatmap(data, square, fun, optData)
-
Generates a heatmap out of the tracked data.
Parameters:
Name Type Description data
Object Where the data shall be taken from square
String | Array The square the data shall be generated for. For example, if you wanted to know how often a specific piece was on a specific tile, you would pass the identifier of the tile to the function, e.g. "a2" or [7,1]. fun
function The evaluation function that generates the heatmap out of the data. See ./src/exampleHeatmapConfig for examples of such a function. optData
Optional data you may need in your eval function Returns:
Array with 3 entries:- 8x8 Array containing the heat map values for each tile
- The minimum value in the heatmap.
- The maximum value in the heatmap.
- Type
- Array
-
<static> loadData(path)
-
Loads the stats of a previous batch run (JSON) to a data bank
Parameters:
Name Type Description path
String Path the data file shall be loaded from Returns:
Returns the loaded data- Type
- Object
-
<static> saveData(path, data)
-
Saves a completed batch run to a JSON file
Parameters:
Name Type Description path
String Path the data file shall be saved to data
Object The data that shall be saved -
<async, static> startBatch(path, analyzer [, cfg], callback)
-
Starts the singlethreaded batch processing for the selected file
Parameters:
Name Type Argument Default Description path
String Path to the PGN file that should be analyzed analyzer
Object | Array.<Object> The analysis functions that shall be run during batch processing. Can be one single analyzer or an array of analyzers. cfg
Object <optional>
{} Properties
Name Type Argument Default Description filter
function <optional>
()=>true Filter function for selecting games cntGames
Number <optional>
Infinite Max amount of games to process callback
Object Callback object Properties
Name Type Argument Description fun
function <optional>
Callback function that is called every callback.rate games rate
Number <optional>
Every 'rate' games the callback function is called. Returns:
- Type
- Promise
-
<async, static> startBatchMultiCore(path, analyzer [, nCores])
-
Starts the multithreaded batch processing for the selected file
Parameters:
Name Type Argument Default Description path
String Path to the PGN file that should be analyzed analyzer
Object | Array.<Object> The analysis functions that shall be run during batch processing. Can be one single analyzer or an array of analyzers. nCores
Numer <optional>
-1 Numbers of threads to use. Is limited to the max. amount of threads of the running machine. cfg.filter
function <optional>
()=>true Filter function for selecting games cfg.cntGames
Number <optional>
Infinite Max amount of games to process Returns:
- Type
- Promise


WITNESS LIST Intergovernmental Relations Committee August 26, 1998-1:00P interim charges On: Strong, Jack B. (TEXALTEL), Austin


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There are hundreds of varieties of mint, but you can always plant out the stuff you get from the supermarket if you just want to get started. Mint should always be grown in a pot, or a small bed surrounded by brick or paving, because it can spread and take over the whole garden. I have mint growing in a half barrel planter. It did die off completely one year but I took to opportunity to replace the variety with something a bit hardier. Monty Don says not to mix the variety, because the flavours get confused.
Like most Mediterranean plants, rosemary and lavender hate having cold wet feet. So, pick a spot in the garden that will be dry, preferably in the sun, and put some grit, gravel or stones in the planting hole before you plant it. It can be planted it in a pot or other container. It will do will on the front edge of a terraced bed or in a rockery. Both lavender and rosemary grow from new wood, which means if you don’t prune them back regularly they can get out of control (leggy) and flop out of shape. Apply the 8-8-8 rule (cut off 1/8th of the foliage on the 8th of August, or cut to 8 inches high on 8th August depening on who you ask) and apparently, they will keep going for ages.
You can plant out the ones you buy from the supermarket. Otherwise, choose one with a nice flower, great in potato salad, and chuck it in a nice sunny spot near the other fruit and veg. It can go in a pot too, but needs more humus and moisture than the Mediterranean plants to do well.
If you have peonies in your garden, learn to love them where they are! You can move them, if you need to, but they get better each year if you leave them be. There are two types of peony, herbaceous (the type that go into wedding bouquets) and tree peony which are usually grafted onto a different root stock, as are roses. Herbaceous peonies need staking or supporting otherwise they flop all over their neighbours. Duchess de Nemours has a glorious scent, but the blooms are top heavy so consider tying the flower spikes to a cane before they come into full flower. Herbaceous peonies have a relative short flowering period, and can look a little tatty as they die back, so consider surrounding them with something that flowers later in the season. Best in full sun, but will tolerate partial shade, in soil with lots of organic matter.
Also known as stonecrop or sedum autumn joy, this plant looks like a succulent as it grows. In the autumn it is topped with small flowers beloved by bees. It grows well in a sunny border but I find it will tolerate dry shade too. Can be divided easily.
Hardy geraniums, or cranesbill, are hardy in the UK and should not be confused with pelargoniums, beloved by Mediterranean hill villages and hanging basket fans, which are not. I have a variety called Rosemoor (I think) which is tough as old boots. It spreads along the ground using a tough root, and can be controlled with a bread knife to chop of the bits that have gone too far. Once it has finished flowering, chop it right back to the ground and it may give a second flush of flowers later in the summer. Does well even in the shade, but will be covered in bees all day long if planted in full sun.
Since they can be grown from seed and propagated from cuttings, verbena bonariensis is an excellent starter perennial. They like a sunny spot, but since they self-seed freely around the garden they will find their own perfect spot within a year or two. It is often worth lifting some younger seedling and keeping them inside a greenhouse or porch in case there is a very cold wet winter. The will be covered in bees and butterflies in late summer.
I was given a penstemon cutting by a friend a few years ago and have been very taken with the ever since. Ridiculously easy to propagate, I find I must keep it pruned back regularly during the season or else one plant becomes five. Bees love the fox-glove shaped flowers. Cut off a stem, stick it in the ground, see if it grows.
Otherwise known as St John’s Wort and grows like a weed in my garden. There are several varieties, and it can make a good hedge too. Can take serious abuse so a good candidate for the Chelsea chop or to practice your pruning technique.
This robust shrub is deciduous, but each spring the stems are covered with bright (usually) yellow flowers that look a lot like a winter flowering jasmine. Takes sun or partial shade, but best planted in a spot that will cheer you on a late winter morning. Can grow quite large, and is a good candidate to practice your pruning skills on.
Often chosen for its variegated foliage, it flowers in May and June. Can grow quite large, and positively relishes a good pruning. Foliage may be susceptible to a late frost, but will recover.
There are all manner of different hebes, which are usually usually evergreen with a small flower. Like lavender and rosemary, they can spread out and get floppy after a while, and don’t always regrow from the woody part so don’t let it get too big. Hebes are usually quite easy to propage from cuttings and by layering.
Often chosen for its low growing habit and variegated leaves. Makes a good low hedge or ground cover.
My favourite shrub in the garden, the spotted leaves look like they were caught in a paint fight in a kindergarten. This shrub will do well in dry shade under a tree, or in a dark corner of the garden giving a vibrant and exotic look.
“Elijah Blue” sounds like a refugee from a boy band, but Festuca Glauca Elijah Blue is in fact a lovely, clump forming grass. It does best in full sun, and looks fabulous when planted in groups, or as a long edging to a path. It doesn’t like other plants flopping over it, so give it plenty of space. It is easy to propagate by division, another candidate for the bread knife.
Hakonechloa Macra could also be listed as a perennial, as it dies back every winter. Does well in shade, but needs some moisture otherwise it will struggle. Looks fabulous planted in drifts, such as along the edge of a path or a border.
Grasses in the flower beds. My grandmother would be astonished. Stipa Gigantea relishes the hot, sunny border and works well as the basis for a prairie planting scheme. However, it was also used to very dramatic effect more than a decade ago in a Chelsea Flower Show Garden, paired with roses and aquilegias. Needs full sun and space to perform. Stipa Tenuissima, or feather grass, is a smaller but an equally tolerant prairie style grass which needs to be divided every few years to maintain its vigor. Will grow in partial shade, I find. Both of these are preferable to variants of pampas grass which have razor sharp leaves that cut your hands to ribbons.
“When all at once I saw a crowd, A host of dancing Daffodils”. Planted in grass, around a tree, in a sunny boarder or just about anywhere, nothing cheers the soul like daffs bobbing in the weak wintery sun. Planting depth is important, so if the daffs come up “blind” every year (that is, the leaves come but never the flower) they may not be planted deep enough. If daffs are planted into a boarder, it’s a good idea to use a plastic ‘planting basket’ to save uprooting the bulbs in summer when planting new perennials or annuals. Later flowering bulbs like alliums can share the same basket and all need to be planted in the autumn.
Often first thing to start growing in my garden, I have a soft spot for the delicate wave of a snowdrop. There are a surprising number of varieties, and they look best in large groups. Unlike most other bulbs, these are best moved ‘in the green’, once the flowers have finished but before the foliage has died back.
 Crocosmia Lucifer in particular produces tall, architectural flower spikes of a stunning bright red. Other crocosmias are smaller and can spread if they find the right spot, like the hedgerows and roadsides in Cornwall. I have Lucifer planted around my red peonies, ready to take over once the peonies have died back.
If you have the space to start seedlings off, pot them on, and plant out once the threat of frost is passed then you are probably quite an accomplished gardener. Otherwise, grab them from the garden centre and enjoy the range of colours. It is possible grow them in the ground where they need to flower, but I find the slugs have them away before they can get going.
Start a few seeds in a yoghurt pot with a bit of compost, and plant out in a sunny spot near a fence or a wall that can act as a support. Or grow a multi-headed dwarf variety in a sunny spot. Again, if sown in the place they are ultimately to flower, they may be prone to slug damage.
There is a reason kids are given radishes as a first crop. They will reliably germinate in the ground and are ready to harvest in about 6 weeks. Seed tapes have the seeds spaced so less ‘thinning out’ is required. If the weather is warm and the radish are left in the ground then they will bolt, but no harm done – the seeds are also edible and give a stronger radish taste.
If going to the trouble to prepare a bed to take radish, then there might as well be a row of beetroot next door. The young leaves can be picked for an early salad, the younger beets eaten raw or lightly steamed and the old tough ones juiced or grated into cakes. Boltardy is a good variety which doesn’t bolt.
Nothing taste quite like a rocket leaf picked fresh from a sunny garden. Rocket seems to be one of the few leafy vegetables that my slugs don’t like. Sow where you want it to grow.
Planted against a sunny fence, a warm raspberry picked fresh from plant is a glorious delight. Summer fruiting raspberries fruit on last year’s canes, which makes them slightly higher maintenance than autumn fruiting varieties which grow and fruit in the same year. Raspberries like slightly acidic soil, but if you can grow them they are a wonder. There are a lot of tips and techniques to make harvesting easier and to increase the yield, so growing raspberries is a good introduction to the more technical aspects of gardening. Needs plenty of space and frame to support them when growing.


{% extends 'base.html' %} {% load humanize %} {% block title %}Purchase Config{% endblock %} {% block content %}
Back to {{ enterprise.name }}, Available Launches
Company: {{ launchconfig.launch.company }}
Product: {{ launchconfig.launch.product }}
Launch Date: {{ launchconfig.launch.when_igt }}
Destination: {{ launchconfig.destination }}
Maximum Mass: {{ launchconfig.max_mass }}
Price: ${{ launchconfig.price|intcomma }}
Are you sure you want to purchase for ${{ launchconfig.price|intcomma }}?
{% endblock %}


Space Saverr
Our mission is to bring the best deals at the click of a button. We are here to make your shopping experience quick and straight to the point.
Our mission is to bring the best deals at the click of a button. We are here to make your shopping experience quick and straight to the point.


The Software Factory is a software development laboratory that has been designed and implemented at the Department of Computer Science, University of Helsinki. Here, students use state-of-the-art tools, modern processes and best practices to prototype and develop great software for businesses in an environment made to support top-level research.
The Software Factory is run by the Empirical Software Engineering Research Group at the University of Helsinki.
It’s great for students.
Interested in how software projects work in industry? Want some more experience before you graduate? Looking to make industry contacts? Writing a scientific paper and need some data? If you answered yes to any of these questions and have the bulk of your BSc studies in Computer Science completed, the Software Factory is for you. Read moreRead less
Software Factory projects combine advantages of both business and education. The environment is very close to real work life but on the other hand in Software Factory has less limitations of legacy code and market demands.
- You can use the latest methods, tools, and languages. No need to work with systems created ten years ago with fifteen-year-old methods.
- You are free to experiment with new things. No need to do the same thing every day.
- You can have a great influence on how things are done.
- You are allowed to fail fast, so that you can succeed over time.
Course information
Software Factory projects are Masters-level courses that last one period (a quarter semester). Courses are organized at the Department of Computer Science, University of Helsinki. You can get up to 12 credit points depending how much you want to work. The default is 5 credits, but by working four days a week and six hours a day, you get 10 credits. With five days you get 12. However, taking a Software Factory course does not mean that you cannot have any other courses at the same time. The work hours are flexible, the team decides when you should be present. Enrolment is open to students registered at the University of Helsinki.
Working opportunities
The Software Factory experience also connects students with businesses who are on the lookout for future employees. Since projects are usually real business cases with a company behind them, you could gain good contacts for future employment.
Research opportunities
Wondering how to do your master’s or bachelor’s thesis, or maybe a seminar paper? Software Factory provides a unique setup for doing research. Whether you are interested in software development methods, testing, web frameworks, cloud computing, or group dynamics. you can collect great empirical material in Software Factory.
It’s also great for industry.
Are you a startup with an great idea? Or an established company that is looking for an environment in which to prototype an innovative concept? Then Software Factory could be for you. Read moreRead less
How do we get the ball rolling?
The first step is to write a short project proposal and send it to us via email at . We will evaluate your proposal and get back to you with feedback.
What should a proposal contain?
To submit a project idea or proposal to Software Factory, you need the following:
- A contact person who can answer questions about the project idea and present the idea if required
- A project name
- A time-frame when the project can be started at the earliest and ended at the latest
- A five-sentence summary
- A technology description (bullet points is enough)
- A description of how you will support the project as a customer (eg. present in weekly meetings)
- Any supporting material (presentation slides, videos, etc.) that help describe the idea
In addition, the project selection process will evaluate:
- The goal of the company
- The expected outcome
- The innovation/newness of the idea
- The research questions of interest
- Contribution to one or more research projects
- Do you have a template I can use for the proposal?
The Software Factory Wiki has an up-to-date template you can use as a base for your proposal.
What are the selection criteria? What if our project is selected? What if it’s not?
Detailed information on project selection can be found here.
Not to mention great for academia.
Research in software engineering requires an authentic environment. At the Software Factory, we aim to provide an environment that emulates industry as closely as possible. Real customers, real business demand. Read moreRead less
A typical problem with software engineering research is that either it is difficult to find companies that provide reasonable research possibilities or the research is made with students in artificial environments. Software Factory provides a solution for this problem. In Software Factory you can do research in a very authentic environment. Most of the participants in Software Factory projects are students but the environment is very business-like.
The team works constantly together just like in a real work place.
There is always a real business demand behind the project, which makes the project context valid for research. At the same time the researchers can observe the team members and even participate in projects if participant observation is considered useful.
Methods, practices and tools
Researchers can bring their own research equipment (e.g. mobile devices that the team members use). Researchers can ask participants to answer questionnaires (paper or web) during the project. All written material (e.g. code and documentation) provided by the team is available for the research purposes. Researchers can come to the Factory room and do direct observation. Researchers can also take part in the projects and do participant observation. Researchers can interview team members and customers after the projects.
Not just for computer scientists
Software Factory is not a research laboratory only for computer scientists. A Factory project provides plenty of interesting research material for scientists from other fields as well.
Research by master level students
Master’s level students can also do research in Software Factory. If you are doing for example your master’s thesis, all methods that are available for other researchers are available for you as well.
Sounds interesting, how can I start?
If you think that Software Factory is a suitable place for you to do research or if you have any questions, please .


NATS Server is a simple, high performance open source messaging system for cloud native applications, IoT messaging, and microservices architectures. This Java API opens the server to Java applications. The API is performant, supporting millions of messages a second, and easy to use.
The server runner allows you start a NATS server from java code. The most typical use is for executing unit tests against a live server.
This package is implemented with Java 8 features.


{% extends "base.html" %} {% block content %} {% if not user.is_authenticated %} {% if form.errors %}
Your username and password didn't match. Please try again.


THE CRAFT A film review by Chuck Dowling Copyright 1997 Chuck Dowling
The Craft (1996) * out of ***** - Cast: Robin Tunney, Fairuza Balk, Neve Campbell, Rachel True, Cliff De Young. Directed By: Andrew Fleming. Running Time: 100 minutes.
Director and co-writer Andrew Fleming is steadily becoming my least favorite filmmaker. He made 1988's "Bad Dreams", a horrible rip-off of the "Nightmare on Elm Street" series. Then in 1993 he made "Threesome", a very disgusting film about three college roommates who all end up sleeping together at the same time. Now he gives us "The Crap", I mean, "The Craft". Actually, there's not much difference.
 Say, what better location for witches? They all attend the same catholic high school which, of course, is populated with the meanest kids in the world. The witches use their witchy powers to take revenge on the racist girl, the womanizing jock, and to make themselves pretty (actually, just brushing their hair and taking a shower would have made them pretty).
But, as stories about power go, things tend to get out of hand. The head witch Nancy (a scary looking Fairuza Balk) starts to go mad after being struck by lightning while chanting at the beach. (Wouldn't you?) She wants to fly around and kill people, but the good witch Sarah doesn't want any part of it and leaves the group. Well, let me tell you that you don't leave a group of witches, it's like the mob. Soon the remaining three witches are casting spells on Sarah and in the final scenes are trying to kill her. At this point, who cares? The last 10 minutes features about a million bugs and snakes, which I always believe is a ridiculous thing to put into a movie because about 90% of the audience will turn away from the screen rather than look at bugs. So making the climax of the film all about bugs and snakes certainly is brilliant filmmaking.
"The Craft" is obvious from start to finish, with no depth into anything.  And I don't blame Andrew Fleming entirely, because I don't think anyone could have made a good film out of the script. It's just not a worthwhile story. [R]
--Chuck Dowling
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


AWS IoT TopicRule DynamoDBAction
DynamoDB
is a property of the Actions
property that describes an
AWS IoT action that writes data to a DynamoDB table.
The HashKeyField
, RangeKeyField
, and TableName
values
must match the values you used when you initially created the table.
The HashKeyValue
and RangeKeyValue
fields use the
${
substitution template syntax. You can
specify any valid expression in a sql-expression
}WHERE
or SELECT
clause. This
expression can include JSON properties, comparisons, calculations, and functions,
for example:
-
The
"HashKeyValue" : "${topic(3)}
field uses the third level of the topic. -
The
"RangeKeyValue" : "${timestamp()}
field uses the timestamp.
Syntax
JSON
{ "HashKeyField":
String
, "HashKeyType":String
, "HashKeyValue":String
, "PayloadField":String
, "RangeKeyField":String
, "RangeKeyType":String
, "RangeKeyValue":String
, "RoleArn":String
, "TableName":String
}
YAML
HashKeyField:
String
HashKeyType:String
HashKeyValue:String
PayloadField:String
RangeKeyField:String
RangeKeyType:String
RangeKeyValue:String
RoleArn:String
TableName:String
Properties
For more information and valid values, see DynamoDB Action in the AWS IoT Developer Guide.
HashKeyField
-
The name of the hash key.
Required: Yes
Type: String
HashKeyType
-
The data type of the hash key (also called the partition key). Valid values are:
"STRING"
or"NUMBER"
.Required: No
Type: String
HashKeyValue
-
The value of the hash key.
Required: Yes
Type: String
PayloadField
-
The name of the column in the DynamoDB table that contains the result of the query. You can customize this name.
Required: No
Type: String
RangeKeyField
-
The name of the range key.
Required: No
Type: String
RangeKeyType
-
The data type of the range key (also called the sort key). Valid values are:
"STRING"
or"NUMBER"
.Required: No
Type: String
RangeKeyValue
-
The value of the range key.
Required: No
Type: String
RoleArn
-
The ARN of the IAM role that grants access to the DynamoDB table.
Required: Yes
Type: String
TableName
-
The name of the DynamoDB table.
Required: Yes
Type: String


--- title: 'HTML-Minifier Demo' ---
This HTML will not be minified since it's missing the
htmlmin: true


Oops ... your browser doesn't support the HTML5 canvas element
Change Viewing Position
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Slideshow Animation
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{{ partial "head.html" .}}
{{ partial "nav.html" . }}We care about the cannabis industry
who we are
She/Her/Hers
Danielle Schumacher is a seasoned activist with experience running cannabis businesses across the country. As the first chancellor of Oaksterdam University, Danielle worked with Richard Lee to establish America’s first cannabis college. She has been quoted by various media outlets including The Associated Press, Fox News, CNBC, and San Francisco Chronicle.
Danielle was recruited by Berkeley Patients Group in 2005 to head the Cannabis Action Network. Danielle has served as office manager for internationally-respected authority on cannabis Chris Conrad and activist author Mikki Norris, and for noted practitioners Frank Lucido MD and Maria Mangini PhD FNP. Danielle was Executive Director of Illinois NORML and held the Youth Seat on the National NORML Board of Directors. She was named Freedom Fighter by High Times Magazine at age 22. Danielle co-founded the University of Illinois chapter of Students for Sensible Drug Policy in 2001. She earned a degree in anthropology in 2004, graduating with highest distinction.
Danielle serves as the current President & CEO of THC Staffing Group and continues her mission of perpetuating diversity and inclusion in the legal cannabis industry.
Richard M. Juang, Esq. is THC Staffing Group's Diversity and Inclusion Consultant. Richard is the principal attorney for the Law Office of Richard M. Juang where he advises nonprofits, small businesses, and individual clients on employment, business transactions, and regulatory compliance. In the cannabis sector, Richard drafted the Minority Cannabis Business Association model state legislation for cannabis legalization. He also served the Massachusetts Cannabis Control Commission as a contract attorney for writing the state's licensing regulations. For other sectors, he has worked on a wide range of matters involving the intersection of law, diversity and inclusion, and socioeconomic justice including environmental justice legislation and regulations, transgender civil rights, and HIV/AIDS care. Richard is admitted to practice in the Commonwealth of Massachusetts and is a graduate of Northeastern University. Richard lives in South Hadley, Massachusetts.


Identity, Values and Strengths.
I grew up in the eastern suburbs of Melbourne, to a middle-class white family. I lived near a train station, a Chinese restaurant, and the MCG (Melbourne’s largest sporting complex). I was the middle of five brothers. My mother was an art teacher, and my father an architect...
Read More


Hungry-For-Blocks adds lots of different blocks in several catergories including logic, math, local varibles, javascript and misc.
Hungry-For-Blocks has lots of documentaion for all the added blocks and source code to go with it.
Hungry-For-Blocks is very easy to install, with just one bookmark or a userscript that will run it every time you load the page.


Codehaus XFire
Documentation
Quicklinks
Developers
|
As seen by the Transport API Review page, most projects have very similar concepts in dealing with their messages and flows. There are many advantages if everyone used the same API:
- Reusable transports across projects - For instance, if I wrote a TCP transport, it would then work in ServiceMix, Tuscan, XFire, Celtix, etc
- Reusable interceptors across projects
- Less duplicate code
- Improve project cross pollination
- By standardizing on an API, it may make it easier for people to contribute to the additional projects - provided we can write some documentation.
(For lack of imagination, I titled this Universal Transport API for now - DD)
Requirements
- A message concept which isn't tied to any particular representation
- A message exchange pattern representation
- A way to interact with Sessions that might be tied to transports?
- An interceptor/handler architecture
Use Cases
|


| AASLD |
| Guidance statements |
No preference between ETV or TDF regarding potential long‐term risks of renal and bone complications |
| TAF is associated with lower rates of bone and renal abnormalities than TDF |
| In cases of suspected TDF‐associated renal dysfunction and/or bone disease, TDF should be discontinued and substituted with TAF or ETV, with consideration for any previously known drug resistance |
| EASL |
| Indications for selection of ETV or TAF over TDF |
Age
|
| > 60 years |
|
Bone disease
|
| Chronic use of medications that worsen bone density (including steroids) |
| History of fragility fractures |
| Osteoporosis |
|
Renal dysfunction
|
| eGFR <60 mL/min/1.73 m
2
|
| Albuminuria >30 mg/24 hours or urinalysis with moderate qualitative proteinuria |
| Hypophosphatemia (<2.5 mg/dL) |
| On hemodialysis |
| Recommendation statements |
Patients on TDF at risk of development and/or with underlying renal or bone disease should be considered for a switch to ETV or TAF, depending on previous treatments |


Introduction
We interviewed two distinguished information theorists at MIT, Professor Robert Gallager and Professor David Forney, to learn about their opinions on best practices for research, especially for young information theorists. The video highlights of the interviews below forms our entry to the 2013 Information Theory Society Student Video Competition, and the full interview transcripts are also available:
| Interview transcript with Robert Gallager | Interview transcript with David Forney |


This package contains the c-ares utillities:
- ahost
- acountry
- adig
If you want to develop applications that use c-ares, you will need
to install the devel package.
-rwxr-xr-x 1 root root 192698 Mar 9 2012 /usr/bin/acountry -rwxr-xr-x 1 root root 150796 Mar 9 2012 /usr/bin/adig -rwxr-xr-x 1 root root 142334 Mar 9 2012 /usr/bin/ahost


Particles¶
The particles module can be used to easily add particle effects to your app. You will be most concerned with using the EmitterSystem module directly, but be sure you have an EmitterSystem, ParticleSystem, and ParticleRenderer. You can use the Particle Panda 2 application to produce your own effects using a graphical editor.
Emitters¶
-
class
kivent_particles.emitter.
EmitterSystem
(**kwargs)¶ Processing Depends On: EmitterSystem, PositionSystem2D, RotateSystem2D
The EmitterSystem manages attaching particle effects to entities. Each Entity can have up to particle_config.MAX_EMITTERS emitters attached at once. This defaults to 8. If you wish to have more emitters, change this value in particle_config.pxi and recompile kivent_particles.
You need to load an emitter before attaching it to an Entity. This can be done either through providing a dictionary of properties, using load_effect_from_data, or loading a .kep file, using load_effect. Emitters can then be added during init_entity by including the name of the effects to attach, or by calling add_effect.
This GameSystem will use the entities PositionSystem2D and RotateSystem2D components to influence the location of particles.
- Attributes:
loaded_effects (list): Returns a list of the names for each effect that has been loaded.
particle_system (ObjectProperty): Reference to the ParticleSystem that will handle the creation and update of individual particles for the emitters of this system. Typically you will link this in your .kv file.
-
add_effect
(self, unsigned int entity_id, str effect_name)¶ Args:
entity_id (unsigned int): Id of the entity to add the effect to.
effect_name (str): Name of the effect to add.
Return:
int: returns the index in the emitters list for the EmitterComponent of the new effect.This function will create a new effect for your entity that already have an EmitterComponent. If MAX_EMITTERS is exceeded a TooManyEmitters exception will be raised.
-
clear_component
(self, unsigned int component_index)¶
-
copy_data_into_emitter
(self, ParticleEmitter to_emitter, str effect_name)¶ Args:
to_emitter (ParticleEmitter): Emitter to copy the state of the effect into.
effect_name (str): Name of the loaded effect you want to copy the state of.
This function will efficiently copy the prototype loaded under effect_name into the provided ParticleEmitter.
-
create_effect
(self, str effect_name)¶ Args:
effect_name (str): Name of the loaded effect from which the new Emitter will copy its starting data.Return:
ParticleEmitter: The new emitter.Typically called internally as part of the init_component or add_effect functions, this function returns a new ParticleEmitter object that copies the state of the ParticleEmitter loaded under effect_name using either load_effect or load_effect_from_data.
-
flatten_effect_to_dict
(self, ParticleEmitter emitter)¶ Args:
emitter (ParticleEmitter): The emitter to write out.Takes a ParticleEmitter object and returns a dictionary containing property, value pairs. Used internally as part of saving an effect.
-
init_component
(self, unsigned int component_index, unsigned int entity_id, str zone, args)¶ Args:
args (list): List of effect names to load, effect_name must be in loaded_effects.The initialization arguments for an Emitter component is a list of the names of previously loaded effects to attach to your entity.
-
load_effect
(self, str file_name)¶ Args:
file_name (str): Name of the file to load.- Return:
- str: The name of the effect as it was loaded into memory.
Loads a previously saved effect, uses cPickle. The name of the effect will be returned.
-
load_effect_from_data
(self, dict data, str effect_name)¶ Args:
data (dict): Dict containing ParticleEmitter property name, value pairs. Can contain all or a subset of the ParticleEmitter properties.
effect_name (str): Name of the new effect.
Loads an effect into memory from a dictionary.
-
pickle_effect
(self, ParticleEmitter emitter, str file_name)¶ Args:
emitter (ParticleEmitter): The emitter to pickle.
file_name (str): The name of the file to write.
Uses cPickle to save an emitter to disk.
-
remove_component
(self, unsigned int component_index)¶
-
remove_effect
(self, unsigned int entity_id, int index)¶ Args:
entity_id (unsigned int): Id of the entity to remove the effect from.
index (int): Index of the emitter to be removed in the Entity’s EmitterComponent emitters list.
Removes an effect from an existing entity without destroying the whole component.
-
update
(self, float dt)¶
-
class
kivent_particles.emitter.
EmitterComponent
¶ The component associated with EmitterSystem. Do not modify emitters yourself. Prefer to use EmitterSystem.add_effect and remove_effect.
- Attributes:
entity_id (unsigned int): The entity_id this component is currently associated with. Will be <unsigned int>-1 if the component is unattached.
emitters (list): List of length MAX_EMITTERS (defaults to 8, you can change this by recompiling kivent_particles after modifying particle_config.pxi). Any active emitters will be in this list, open spots will be None.
-
class
kivent_particles.emitter.
ParticleEmitter
¶ The ParticleEmitter class controls the creation of particles for any particular effect. You should not create one directly but instead allow EmitterSystem to create them for you. Up to a max of MAX_EMITTERS as defined in particle_config.pxi can be attached to a single entity.
- Attributes:
effect_name (str): The name of this effect, as loaded by EmitterSystem.load_effect or EmitterSystem.load_effect_from_data.
texture (str): The name of the texture being used for this particle as registered in resource_managers.TextureManager.
pos_offset (tuple): The (x, y) offset this Emitter should be from the parent Entity’s position component. This property returns a copy of the data, not the data itself. Do not modify returned values directly, instead set pos_offset again.
x_offset (float): The x component of pos_offset.
y_offset (float): The y component of pos_offset.
emit_angle_offset (float): The offset in degrees from the parent Entity’s rotate component.
emit_angle_variance (float): The amount of variance in the angle offset of a particle.
life_span (float): The number of seconds a particle should exist for.
life_span_variance (float): The amount of variance in life_span for an individual particle.
paused (bool): If True this emitter will not create new particles.
emitter_type (int): The type of the emitter. Should be 0 for gravity emitter, and 1 for radial emitter.
number_of_particles (int): The number of particles this effect should create.
gravity (tuple): The amount of gravity that will effect particles if emitter_type is 0 (Gravity Emitter). This property returns a copy of the data, not the data itself. Do not modify returned values directly, instead set gravity again.
gravity_x (float): The x component of gravity.
gravity_y (float): The y component of gravity.
start_scale (float): The scaling factor for the particles at the beginning of their life. Actual size of particle will be scale * size of texture.
start_scale_variance (float): The amount of variance in start_scale for an individual particle.
end_scale (float): The scaling factor for the particles at the end of their life. Actual size of particle will be scale * size of texture.
end_scale_variance (float): The amount of variance in end_scale for an individual particle.
start_rotation (float): The starting rotation for a particle in degrees.
start_rotation_variance (float): The variance in starting rotation for individual particles.
end_rotation (float): The ending rotation for a particle in degrees.
end_rotation_variance (float): The variance in ending rotation for individual particles.
pos_variance (tuple): The amount of variance from the location of emitter per particle. This property returns a copy of the data, not the data itself. Do not modify returned values directly, instead set pos_variance again.
x_variance (float): The x component of pos_variance.
y_variance (float): The y component of pos_variance.
speed (float): The speed a particle will be emitted at if the emitter_type is 0 (Gravity emitter).
speed_variance (float): The variance in speed for particles generated by emitter_type 0 (Gravity emitter).
radial_acceleration (float): The amount of radial acceleration to be applied to particles generated by emitter_type 0 (Gravity emitters).
radial_acceleration_variance (float): The variation in radial_acceleration.
tangential_acceleration (float): The amount of tangential acceleration to be applied to particles generated by emitter_type 0 (Gravity emitters).
tangential_acceleration_variance (float): The variation in tangential_acceleration.
max_radius (float): The starting distance for particles being emitted by emitter_type 1 (radial emitters).
max_radius_variance (float): The variance in starting distance for radial emitters.
min_radius (float): The minimum radius before a particle is cleaned up when emitted by emitter_type 1 (radial emitters).
rotate_per_second (float): The amount of rotation in degrees that will happen per second for particles emitted by emitter_type 1 (radial emitters).
rotate_per_second_variance (float): The variation in rotate_per_second.
start_color (list): The starting color for particles. This property returns a copy of the data, not the data itself. Do not modify returned values directly, instead set start_color again.
start_color_variance (list): The amount of variance in each channel for the starting color of particles. This property returns a copy of the data, not the data itself. Do not modify returned values directly, instead set start_color_variance again.
end_color (list): The ending color for particles. This property returns a copy of the data, not the data itself. Do not modify returned values directly, instead set end_color again.
end_color_variance (list): The amount of variance in each channel for the ending color of particles. This property returns a copy of the data, not the data itself. Do not modify returned values directly, instead set end_color_variance again.
-
calculate_emission_rate
(self)¶ This is called automatically when either number_of_particles or life_span is set. Emission rate is calculated by dividing the number_of_particles by the life_span.
Particles¶
-
class
kivent_particles.particle.
ParticleSystem
(**kwargs)¶ Processing Depends On: ParticleSystem, PositionSystem2D, RotateSystem2D, ScaleSystem2D, ColorSystem
The ParticleSystem class handles creation, removal, and updating of individual particles created by an EmitterSystem.
Be sure to set ‘renderer_name’ to the system_id of the PartclesRenderer you want to render each particle.
You will typically not create an entity using ParticleSystem directly, instead an EmitterSystem will create the particle entities for you.
Attributes:
renderer_name (StringProperty): The system_id of the PartclesRenderer the particles will use.
particle_zone (StringProperty): The zone in memory particles will be created in.
-
clear_component
(self, unsigned int component_index)¶
-
init_component
(self, unsigned int component_index, unsigned int entity_id, str zone, ParticleEmitter emitter)¶ - Args:
- emitter (ParticleEmitter): The emitter the particle is coming from.
The initialization arg for a ParticleComponent is just the ParticleEmitter that is creating the component. Typically you will not initialize a particle yourself, instead EmitterSystem will call ParticleSystem.create_particle (a cdef’d function).
-
on_system_names
(self, instance, value)¶
-
remove_component
(self, unsigned int component_index)¶
-
update
(self, float dt)¶
-
-
class
kivent_particles.particle.
ParticleComponent
¶ The component associated with ParticleSystem
- Attributes:
entity_id (unsigned int): The entity_id this component is currently associated with. Will be <unsigned int>-1 if the component is unattached.
current_time (float): The current time of this particle.
total_time (float): The total time for this particle, when current_time exceeds total_time the particle entity will be removed.
start_pos (tuple): The starting position of this particle. This property returns a copy of the data, not the data itself. Do not modify returned values directly, instead set start_pos again.
start_x (float): The x component of start_pos.
start_y (float): The y component of start_pos.
velocity (tuple): The velocity of this particle. This property returns a copy of the data, not the data itself. Do not modify returned values directly, instead set velocity again.
velocity_x (float): The x component of velocity.
velocity_y (float): The y component of velocity.
radial_acceleration (float): The radial acceleration for this particle.
tangential_acceleration (float): The tangential acceleration for this particle.
emit_radius (float): The current location on the radius of this particle, used for emitter_type 1 emitters (Radial behavior).
emit_radius_delta (float): The rate of change for the emit_radius property.
rotation_delta (float): The rate of change for the rotation of this particle.
scale_delta (float): The rate of change for the scale of this particle.
emitter (ParticleEmitter): The emitter that this particle was created by.
color_delta (list): The rate of change for the color of this particle. Do not modify returned values directly, instead set velocity again.
Renderers¶
-
class
kivent_particles.particle_renderers.
ParticleRenderer
¶ Processing Depends On: ParticlesRenderer, PositionSystem2D, ScaleSystem2D, RotateSystem2D, ColorSystem
The renderer draws with the VertexFormat9F4UB:
ctypedef struct VertexFormat9F4UB: GLfloat[2] pos GLfloat[2] uvs GLfloat[2] center GLfloat[2] scale GLubyte[4] v_color GLfloat rotate
-
update
(self, force_update, dt)¶
-


| HYTOOL Function Reference |
Function to locate the image well interactivelly
dh = thc_map(x,y,r) x = vector containing the X coordinates of all observations wells y = vector containing the Y coordinates of all observations wells r = vector containing the radius to the imaginery well for every observation well. dh = distance to the hydraulic boundary
Draw the map with the observation wells and the circles centred on the observation wells. Ask to click on the map to locate and select the image well. Calculate the distance to the boundary. WARNING: The coordinates of the pumping well are supposed to be (0,0)
d=thc_map([30.48,60.96,0],[0,0,-60.96],[112,139,153])
Published output in the Help browser showdemo thc_map
| Hytool |
© 1998-2017 Philppe Renard and Co. Terms of Use Acknowledgments


Sacred Texts
Sagas and Legends
English Folklore
Index
Previous
Next
THE GHOST ON HORSEBACK.
BILLY--and John --,
working at Wheal Vor, were in the habit, early in the morning, of calling
out a dog or two, kept by the occupier of an adjoining farm, and with them
hunt over the Godolphin warren adjoining. One morning, while thus engaged,
one of them gave the alarm that a man on horseback was coming down the road.
"'Tisn't possible," said the other; "no horse can ever come over that road."
"There is a horse, and old Cap'n T. is upon it," replied the first. "Hold
thy tongue," rejoined his comrade; "he 's dead months ago." "I know that;
but 'tis he, sure enough." Both crouched down behind a bush; and my
informant, whose father was one of the parties, declared that the appearance
of Capt. T., on a black horse, passed noiselessly down the road immediately
before them, but without noticing their presence.
Next: The Black Dogs


Basic
$25
- 10 GB Space
- 3 Domain Names
- 20 Email Addresses
- Live Support
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Standard
$50
- 50 GB Space
- 5 Domain Names
- Unlimited Email Addresses
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$100
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Included Elements
Custom Responsive Lightbox Plugin Optimized For Mobile & Tablet Devices
Tabs
Accordion
Alerts
You Have A Decision To Make!
Change this and that an...rus sit amet fermentum.
Lorem ipsum dolor sit amet, consectetuer adipiscing elit.
Sidebar Menu
Breadcrumbs
Inline Labels
Default Success Warning Important Info Inverse
Badges
1 2 4 6 8 10
Hero Unit
Headline Banner
This is a simple hero unit, a simple jumbotron-style component for calling extra attention to featured content or information.
Share Buttons
Tables
| Name | Class | Description |
|---|---|---|
| Default | None | No styles, just columns and rows |
| Basic |
.table
|
Only horizontal lines between rows |
| Bordered |
bordered
|
Rounds corners and adds outer border |
| Zebra-stripe |
striped
|
Adds light gray background color to odd rows (1, 3, 5, etc) |
| Condensed |
condensed
|
Cuts vertical padding in half, from 8px to 4px, within all td and th elements |
Code Syntax Highlighting
<form class="well"> Label name <input type="text" class="span3" placeholder="Type something"> Example block-level help text here.  <input type="checkbox"> Check me out  <button type="submit" class="btn">Submit</button> </form>
Tooltips
Rollover the highlighted words below to see a demo fo the tooltip function.


Payment form example
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Your form has been succesfully submitted!
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State
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Pick a state
Comunidad de Madrid
Cataluña
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We accept:
Message
Add any note here.


Ordinary and Simple Kriging - tutorial¶
Table of Contents:¶
Read point data,
Set semivariogram model,
Set Ordinary Kriging and Simple Kriging models,
Predict values at unknown locations.
Level: Basic¶
Changelog¶
Date |
Change description |
Author |
|---|---|---|
2021-05-11 |
Refactored TheoreticalSemivariogram class |
@szymon-datalions |
2021-04-03 |
Simple Kriging |
@szymon-datalions |
2021-03-31 |
Update related to the change of semivariogram weighting. Updated point data source. |
@szymon-datalions |
Introduction¶
In this tutorial we will learn how to perform prediction with Ordinary and Simple Kriging. We will compare different number of ranges and test outcomes of processing with root mean squared error.
Ordinary and Simple Kriging are the simplest form of Kriging but it’s still very powerful technique.
We use DEM data which is stored in a file sample_data/point_data/poland_dem_gorzow_wielkopolski
.
Import packages¶
[1]:
import numpy as np
import matplotlib.pyplot as plt
from pyinterpolate.io_ops import read_point_data
from pyinterpolate.semivariance import calculate_semivariance # experimental semivariogram
from pyinterpolate.semivariance import TheoreticalSemivariogram # theoretical models
from pyinterpolate.kriging import Krige # kriging models
1) Read point data¶
[2]:
dem = read_point_data('../sample_data/point_data/poland_dem_gorzow_wielkopolski', data_type='txt')
dem
[2]:
array([[15.1152409 , 52.76514556, 91.27559662],
[15.1152409 , 52.74279035, 96.54829407],
[15.1152409 , 52.71070647, 51.25455093],
...,
[15.37034993, 52.68338343, 40.30933762],
[15.37034993, 52.67096386, 21.94326782],
[15.37034993, 52.64239886, 51.52513504]])
[3]:
# Remove 40% of rows (values) to test our model
def create_train_test(dataset: np.array, frac=0.2):
"""
Function divides base dataset into a training and a test set
INPUT:
:param dataset: (numpy array) array with rows of records,
:param frac: (float) number of elements in a test set
OUTPUT:
return: training_set (numpy array), test_set (numpy array)
"""
removed_idx = np.random.randint(0, len(dem)-1, size=int(frac * len(dem)))
test_set = dem[removed_idx]
training_set = np.delete(dem, removed_idx, 0)
return training_set, test_set
train_set, test_set = create_train_test(dem, frac=0.4)
Clarification:¶
We remove subset of points from a dataset to be sure that Kriging is working. In this scenario 40% of available points are removed, but in a real-world cases you will probably have even less points to perform estimations, down to the 1% of known values.
Function create_train_test() divides our dataset into two subsets: - training set used for semivariogram model derivation, - test set used for the model error calculation.
Points for each set are chosen randomly to avoid bias related to the geographical location. Let’s imagine that you have a sorted list of Digital Elevation Model points. Western part of your measurements covers a mountain and Eastern part is a plain. Then you take western part for semivariogram modeling and eastern part for test. It ends with catastrophe because your semivariogram learns that elevation is changing over a distance but it is not true in the East!
2) Set Semivariogram model¶
More about semivariogram modeling in tutorial about Semivariogram calculation: [url]
[4]:
# Create experimental semivariogram
# Prepare experimental semivariogram
search_radius = 0.01
max_range = 0.32
exp_semivar = calculate_semivariance(data=train_set, step_size=search_radius, max_range=max_range)
[5]:
# Plot experimental semivariogram
plt.figure(figsize=(12, 12))
plt.plot(exp_semivar[:, 0], exp_semivar[:, 1], 'o')
plt.title('Experimental semivariogram od DEM data')
plt.xlabel('Range - in degrees')
plt.ylabel('Semivariance')
plt.show()
[6]:
# Fit different semivariogram models into experimental data
semivar = TheoreticalSemivariogram(points_array=train_set, empirical_semivariance=exp_semivar)
number_of_ranges = len(exp_semivar) # The same number of ranges as experimental semivariogram
semivar.find_optimal_model(weighted=False, number_of_ranges=number_of_ranges)
[6]:
'linear'
3) Set Ordinary Kriging and Simple Kriging models¶
This is the most important step of our tutorial. We’ve set our semivariogram model and now we are able to perform prediction of an unknown values. In a first try we will “predict” known, arbitrary point and in the second step we will try to guess values at unknown locations and calculate RMSE of those values.
For both kriging types class is the same Kriging. It takes as arguments theoretical semivariogram model TheoreticalSemivariogram class instance and known data points as the Numpy array.
[7]:
# Set Kriging model
model = Krige(semivariogram_model=semivar, known_points=train_set)
[8]:
# Get one value for prediction:
known_val = train_set[10]
print(known_val)
[15.1152409 52.56746749 35.54473495]
Simple Kriging technique may be used when process mean over sampling area is known. It is rarely the case, that’s why Ordinary Kriging is the first choice for many applications. We know global mean beacuse we have whole dataset but in the real-world scenario we cannot divide set into training and test sets and then get mean from the whole dataset - it is a information leak from the test set into a model!
[9]:
# Now make predictions
# First - ordinary kriging
ok_pred = model.ordinary_kriging(unknown_location=known_val[:-1],
number_of_neighbours=16)
# Second - simple kriging
sk_pred = model.simple_kriging(unknown_location=known_val[:-1],
number_of_neighbours=16,
global_mean=np.mean(dem[:, -1]))
print('Ordinary Kriging:\n')
print(ok_pred)
print('')
print('========== ========== ========== ========== ==========')
print('')
print('Simple Kriging:\n')
print(sk_pred)
Ordinary Kriging:
(35.54473495483397, 3.3971240271095104, 6.972193264668931e-17, array([ 1.00000000e+00, -2.48921943e-16, -8.00272449e-17, 1.84018500e-16,
-2.72481846e-18, -2.51590992e-16, -6.04329063e-17, 1.68820100e-16,
-4.77934329e-17, -1.20858740e-16, -2.09982234e-16, 1.64090101e-16,
4.48311461e-17, 1.59178733e-16, 3.30431085e-16, -3.27499526e-16,
6.97219326e-17]))
========== ========== ========== ========== ==========
Simple Kriging:
(35.54473495483399, 3.39712402710951, 40.9509380348875, array([ 1.00000000e+00, -2.03476520e-16, -6.67386648e-17, 2.86403696e-17,
-1.33239218e-17, 3.37797105e-17, -5.72980376e-17, 3.78975229e-17,
-5.14262231e-17, -1.42936524e-16, -1.42492348e-17, -1.32573087e-16,
-2.16570003e-16, 3.91363271e-16, 6.50791734e-16, -5.55080853e-16]))
[10]:
print('Difference between real value and OK:')
print(int(known_val[-1] - ok_pred[0]))
Difference between real value and OK:
0
[11]:
print('Difference between real value and SK:')
print(int(known_val[-1] - sk_pred[0]))
Difference between real value and SK:
0
Clarfication:¶
What has just happened?
We go through each cell to understand what our Kriging has done.
Set the Kriging model. Our Krige class is in fact a container for theoretical semivariogram model and known points in our dataset. At this stage it is method agnostic and it doesn’t matter if you’d like to perform Ordinary or Simple Kriging.
In the next cell we take one arbitrary value from known points list.
Then we perform Ordinary and Simple Kriging. Both methods have similar arguments but Simple Kriging requires additional piece of information: global mean of the process. If you don’t know the mean then leave Simple Kriging and choose Ordinary Kriging instead.
Both methods return four objects. The first one is predicted value, then estimated error standard deviation, estimated mean (ordinary kriging) / mean (simple kriging) and weights matrix.
Then we calculate difference between predicted and real values. As you may notice difference between Kriging prediction and real value is 0 (due to the floating point precision it may be extremly close to 0 if we left floats).
4) Predict values at unknown locations¶
Only one parameter is directly controlled by us and it is number of neighbors used for prediction. We can test optimal number of them with a test set leaved for further analysis.
We create simple function which chooses the most promising ordinary kriging and simple kriging model based on the root mean squared error of predictions.
[12]:
def test_ordinary_kriging(kriging_model, test_values, number_of_neighbors):
mse_arr = []
for x in test_values:
prediction = kriging_model.ordinary_kriging(
x[:-1],
number_of_neighbours=number_of_neighbors)
predicted = prediction[0]
mse = (x[-1] - predicted)**2
mse_arr.append(mse)
rmse = np.sqrt(np.mean(mse))
return rmse
[13]:
# Number of neighbors
no_of_n = [4, 8, 16, 32, 64]
for nn in no_of_n:
print('Number of neighbors:', nn)
rmse_pred = test_ordinary_kriging(kriging_model=model,
test_values=test_set,
number_of_neighbors=nn)
print('RMSE:', rmse_pred)
print('')
Number of neighbors: 4
RMSE: 0.43436690746381146
Number of neighbors: 8
RMSE: 0.38251845025082076
Number of neighbors: 16
RMSE: 0.35402382745489547
Number of neighbors: 32
RMSE: 0.3677662552453569
Number of neighbors: 64
RMSE: 0.3676187221660143
Clarification:¶
Now we perform practical test of usefulness of our algorithm. The idea is to use our test set, predict values “not seen” by the kriging algorithm and compare prediction to the ground truth value. Then we calculate root of a mean squared errors between real values and predictions.
We can find the best number_of_neighbors parameter, or alternatively we can discover how many closest points influence our point. More doesn’t better as you can see in this realization.
NOTE:
This is only a single realization of a division between variables. RMSE of single experiment is not reliable from the practical perspective, you should divide dataset randomly multiple times to find the best number of neighbors for the analysis.
RMSE value is used in this approach because it is a very good indicator of outliers in data. You should consider simple difference if you want to know if your kriging overestimates values (negative mean differences) or underestimates them (positive mean differences). There are other techniques to measure predictions error.
[14]:
def test_simple_kriging(kriging_model, test_values, number_of_neighbors, mean_areal):
mse_arr = []
for x in test_values:
prediction = kriging_model.simple_kriging(
x[:-1],
number_of_neighbours=number_of_neighbors,
global_mean=mean_areal,
test_anomalies=False
)
predicted = prediction[0]
mse = (x[-1] - predicted)**2
mse_arr.append(mse)
rmse = np.sqrt(np.mean(mse))
return rmse
[15]:
# Number of neighbors
no_of_n = [4, 8, 16, 32, 64]
for nn in no_of_n:
print('Number of neighbors:', nn)
rmse_pred = test_simple_kriging(kriging_model=model,
test_values=test_set,
number_of_neighbors=nn,
mean_areal=np.mean(dem[:, -1]))
print('RMSE:', rmse_pred)
print('')
Number of neighbors: 4
RMSE: 0.23290865902028202
Number of neighbors: 8
RMSE: 0.3128240396068094
Number of neighbors: 16
RMSE: 0.3450757729622964
Number of neighbors: 32
RMSE: 0.36795250017152625
Number of neighbors: 64
RMSE: 0.36763369973451177
Clarification:¶
Usually Simple Kriging will give us worse results than Ordinary Kriging beacuse we do not know process mean. If we know process mean we can compare both techniques and check if there are similarities or differences in relation to error-per-lags. Data division for test and train set may influence Simple Kriging results and for some realizations RMSE will be very low but for the others it is extremely large.


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Student at Epicodus (C# and React)
Hello! I'm a husband and father residing in the beautiful Pacific NorthWest. I just started my coding journey as a student with Epicodus in the part-time C# and React bootcamp.
Create a website using HTML and CSS. Demonstrate the concepts of cascading, specificity, and inheritance.
Create a website using HTML and CSS. Practice styling with classes and assign classes 'flashy' and 'best'. Add email link.
Create a website using HTML only. Make sure to use proper indentation and spacing.
I love Portland life. There's so much delicious food and wine in a geographically rich corner of the country. Aside from enjoying meals and taking fun day trips with the family, I spend my time practicing submission grappling, watching or reading sci-fi or fantasy, and listening to jazz or experimental electronic music with my morning coffee. In a former life I competed in FPS leagues for old Half-Life mods and maintained a rigorous EQ / WoW raiding schedule (pre-family) :)
Coding is the newest chapter, and I'm looking forward to the challenges that lie ahead. It feels great to use apps or visit websites with efficient and intuitive interfaces. From a user's perspective, it makes me wonder why every interface doesn't feel as smooth. I want to become a front-end developer and focus on UX / UI to share the satisfaction of interfacing in highly-intuitive environments.


|
How Can You Defend Those
People?
by John Denvir
Lawyer movies come and go,
but some just stick in your mind.
True Believer is like that for me. It's not only a good
entertainment, but it also raises one of the ultimate questions
of legal ethics-how can good lawyers defend bad people?
The
story revolves around the life choices of criminal defense lawyer
Eddie Dodd portrayed in a fine bravura performance by James Woods.
The ethical issue is raised by Dodd's neophyte associate, Roger
Baron, in a subtle performance by Robert Downey Jr. Baron came
to work for Dodd because of Dodd's legendary work as a civil
rights attorney, but discovers the Dodd's current practice specializes
in the defense of successful narcotics dealers.
Roger is shocked to discover
that Dodd is quite successful in exonerating defendants he knows
are guilty. He naively asks whether Dodd might someday represent
an innocent defendant. His question begins Dodd's search for
a moral justification for the role of the criminal defense bar.
Three major justifications are considered in the course of the
film. The first represents Baron's amateur perspective: criminal
defense attorneys are needed to defend innocent clients. Dodd
quickly rejects this utopian premise with the curt reply, "The
one thing you learn as a criminal defense lawyer is that they're
all guilty." Of course, we know Dodd exaggerates; every
week or so we see a news story abut how new DNA evidence has
led to the release of a prisoner unjustly convicted. Still, these
cases seem to be the exception, not the rule. Most people charged
with crime are guilty of some crime, most the crime with which
they are charged.
At the beginning of the film
Dodd tries to justify his role by recourse to another well known
defense of the criminal defense bar; the noble fight to protect
our civil liberties against invasion by a burgeoning police state.
The client may be a drug lord, but the true beneficiaries of
the lawyer's labors are the Fourth and Fifth Amendments. Downey
is not impressed with argument; nor am I. Sophisticated lawyers
know that the outcome of a case is predicated on two factors,
the applicable legal rule and the court's visceral reaction to
the factual context in which it is being applied. One partial
reason for the judicial shrinking of Fourth and Fifth Amendment
is that these lofty constitutional ideals are usually litigated
in the context of a nasty drug deal. Of course, zealous advocacy
requires a lawyer representing clients accused of drug crimes
to use every available defense including those alleging an illegal
search and seizure, but to say one takes drug cases in order
to promote civil liberties seems a little disingenuous. Our civil
liberties have not benefited from their involuntary association
with drug dealers.
But Dodd does find good reason
to be a true believer in the role of the criminal defense attorney.
 The
viewer already knows her son; the opening shots of the film had
shown us him in preparation for the prison fight; we see him
having knives taped to both of his hands in order to turn him
into some sort of lethal bird of prey. It had never occurred
to us that this animal could be somebody's baby boy.
In a mute response to Roger's
criticisms, Eddie takes the case. His cynicism dissolves at the
sight of this young man whose incarceration has transformed him
into a killing machine. He decides that no matter what the boy
has done, he's been in prison long enough. It time for a lawyer
to go to work.
From this point on, the film
becomes a skillful portrayal of the practice of criminal law.
As in real life, investigation of the facts turns out more important
than eloquence before a jury. And one gets a good sense of the
showmanship necessary to negotiate a good deal for your client
And, since movies like to improve on real life, it turns out
that Dodd's client is not guilty after all. His first conviction
was the product of a police frame-up, and his prison homicide
turns out to be a case of self-defense.
But Dodd's response would have
been no different if his client has been guilty-and no less heroic.
Most Americans only know about the world of crime from the images
that appear on movie and televisions screens. Hollywood likes
to show us evil geniuses played by the likes of Anthony Hopkins
and John Malkovich. These projections of our darkest fantasies
work on the dramatic level, but crime on the street is a more
prosaic matter. You don't have to jettison the concept of free
will to concede that the inhabitants of our prisons are mostly
losers who have always been given the wrong end of the social
stick from birth. Most criminals are not psychopathic geniuses
like Hanibal Lector, but the not so bright sons of broken homes
and lousy schools with bleak employment possibilities.
It's true that they have violated
a duty to society, but no less true that society had violated
its duty to them. At a minimum, we owe them someone to speak
up for them in their hour of need. We owe them a good criminal
lawyer.
Posted: September 24, 2001
|


Version 0.2 2013-11-28
- Striped table rows for readability.
- Table columns auto width.
- Table content now shows booleans and formatted dates.
- Fix: allow NULL values when exporting to SQL. Sometimes DBF databases have unexpected NULL values.
- Improvement: split up INSERT statements when exporting to SQL. This is much needed for big databases to prevent memory issues when importing the SQL file.
- Improvement: make sure exported strings are UTF-8 compliant.
- Some internal fixes and improvements.
- Added update checker.
Version 0.1 2013-10-18


Unit Testing for Data-strcuctures using Jasmine
Singly Linked List
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Stack
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Queue
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Doubly Linked List
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Binary Tree


{% load i18n %}
{% blocktrans with event=event.city %}Hello team {{ event }}!{% endblocktrans %}
{% trans "Hope you’re all doing fantastic and took some well deserved rest after organizing your Django Girls workshop :)" %}
{% url 'admin:core_event_change' event.id as event_url %} {% blocktrans trimmed with base=settings.BASE_URL %} Just a friendly reminder to fill out this form to provide information how many people attended your workshop. This will help us show the global impact that Django Girls is having on the world! :) {% endblocktrans %}
{% trans "Hugs, rainbows and sunshines!" %}
Django Girls


new HexWorld(config)
Represents the world on a hexagonal grid
- Keeps track of tribes, some supervision
- Allows playback control
- glues tribes and the grid
Parameters:
| Name | Type | Description |
|---|---|---|
config |
Object |
- Source:
Methods
-
addTribe(config)
-
Add the passed tribe to some collections redraw the tribe
Parameters:
Name Type Description config
Object - Source:
-
clear()
-
Clean up various collections and resources FIXME: is WeakMap cleaned like that?
- Source:
-
createRandomTribe() → {Tribe}
-
generate a random tribe with random population and on a random tile
- Source:
Returns:
- Type
- Tribe
-
getRandomPopulation() → {Number}
-
Convenience method to calculate a random population, its bounds determined by some modifiers
- Source:
Returns:
- Type
- Number
-
getRandomUnoccupiedTile() → {Tile}
-
Get random tiles from the grid until an unpopulated one is found
- Source:
Returns:
tile- Type
- Tile
-
initTribes(config)
-
Initialize tribes with configuration
Parameters:
Name Type Description config
Object - Source:
-
play()
-
Start the simulation
- Source:
-
removeTribe(tribe)
-
Remove a tribe from the collections
Parameters:
Name Type Description tribe
Tribe - Source:
-
reset()
-
Reset the simulation. Clears the current one and reinitializes with last config
- Source:
-
stop()
-
Pause the simulation
- Source:
-
update(time)
-
Update on a tick First run one round of decision for all tribes, Then update all tribes with their new state Dead tribes are cleaned up
Parameters:
Name Type Description time
Number - Source:


Inertia: 1, Speed: 1
Inertia: 0.98, Speed: 0
and with Stop callback
Inertia: 0, Speed: 0
Inertia: 1, Speed: 0, Step: 30
Inertia: 0.99, speed: 0, step: 10
Inertia: 0, speed: 0, step: 45
inertia: 1, speed: 0, step: 30, stepTransitionTime: 500
inertia: 0.99, speed: 0, step: 10, stepTransitionTime: 100
Inertia: 0, speed: 0, step: 45, stepTransitionTime: 300
and with rotate callback (check console)


Edit any of these properties and use the button in the top-right corner to open a popup. Properties can easily be edited from within a (same domain) popup iframe by calling window.parent.$.jeegoopopup.PROPERTYNAME(value); For example, to edit the width and height of a popup from within the iframe call window.parent.$.jeegoopopup.width(600).height(200);
Dimensions & Position
px
px
px
px
px
px
Yes No
Yes No
Appearance & Overlay
Yes No
(0 - 100)
Behavior
ms
Yes No
Yes No
Yes No


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SBI to Use Blockchain for Smart Contracts and KYC by Next Month
“India’s largest lender State Bank of India will launch beta version of blockchain-enabled smart contracts and Blockchain-enabled Know Your Customer by next month. The project was supported by Pune-based startup Primechain Technologies.”
India’s largest lender State Bank of India will roll out beta launches of blockchain-enabled smart contracts by next month, According to Sudin Baraokar, head of innovation, SBI. Blockchain-enabled Know Your Customer (KYC) will soon follow suit. These applications are part of BankChain, a community of 27 banks, which have joined hands to explore and build blockchain solutions for banking.
Smart contracts are basically contracts which use blockchain, a distributed ledger technology, to maintain aggreements between parties. The codes are open source, hence it is traceable and irreversible and thereby do not need any centralized agency.
“By next month, we should have two beta production solutions ready for use by the 27 banks. We will also invite further participation. The beta production that will be ready are smart contracts and second is KYC,” said Baraokar.
BankChain was built in February with the State Bank of India being the first member. Now it has 22 Indian banks, including ICICI Bank, DCB Bank and Axis Bank, and five Middle East-based banks. Bank-Chain has cooperated with Pune-based startup Primechain Technologies to create these solutions.
“BankChain is a big move. It is getting all banks together. It is also de-risking our investment in emerging tech, so that all banks can come and invest at once... we can also share knowledge and reduce the cost. We focused on solutions that the bank does not have... things like smart contracts, which is not regulatory heavy.” said Baraokar, at the recently ended Bengaluru Tech Summit.
「 Declaration: Please indicate the source if repost the article in UNITIMES. Opinions expressed by Contributors belong to themselves. 」


Hello {email}, we are received your request reset password,
Please dont share your password to other people, thanks.
your new password: {password}


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void | setListener (SuggestionsAdapter.OnItemViewClickListener listener) |
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int | getSingleViewHeight () |
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DefaultLocalSuggestionsAdapter.SuggestionHolder | onCreateViewHolder (ViewGroup parent, int viewType) |
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void | onBindSuggestionHolder (String suggestion, SuggestionHolder holder, int position) |
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void | addSuggestion (S r) |
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void | setSuggestions (List< S > suggestions) |
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void | clearSuggestions () |
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void | deleteSuggestion (int position, S r) |
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List< S > | getSuggestions () |
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int | getMaxSuggestionsCount () |
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void | setMaxSuggestionsCount (int maxSuggestionsCount) |
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void | onBindViewHolder (V holder, int position) |
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abstract void | onBindSuggestionHolder (S suggestion, V holder, int position) |
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int | getListHeight () |
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int | getItemCount () |
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| Filter | getFilter () |
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LayoutInflater | getLayoutInflater () |
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List< S > | suggestions |
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List< S > | suggestions_clone |
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int | maxSuggestionsCount |
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The documentation for this class was generated from the following file:
- /Users/harshpatel/Desktop/Appbase/SearchWidgetDemo/searchwidget/src/main/java/com/harsh/searchwidget/Adapter/DefaultLocalSuggestionsAdapter.java


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Drake, Artist
Rick Ross, Musician


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new Animal()
Animal class - straight out of the zoo.
This:
Properties:
| Name | Type | Description |
|---|---|---|
Animal.legs |
Integer | Count of legs. |
Animal.howl |
function | Howling - see Animal~howl |
Members
(static) mouths :Integer
Type:
- Integer
eyes :Integer
Count of eyes.
Type:
- Integer
Methods
(static) cries()
Animal cries.
(inner) growl()
Animal growls.
(inner) howl()
Animal howls.


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{% extends "base.html" %} {% block page_content %}
We care about you, but we don't have anything done yet.


{% extends "layout.html" %} {% block head %} {% endblock %} {% block content %}
This application will help you configure alerts to your mobile phone, a preferred emergency contact and up to 5 additional contacts. If you have a Nightscout dashboard and your api is enabled for external queries, you can use this application. When your glucose levels are out of range, you will receive an alert call on your mobile as well as and your preferred. If you do not answer the call then a sms is sent to your emergency contact(s).


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| Item # | Description | Location of Disclosure |
|---|---|---|
| 1 | Basel III regulatory capital and ratios (all-in basis) | Pages 21-22 of the Supplementary Financial Information package, which can be found here: http://www.rbc.com/investorrelations/pdf/q414supp.pdf |
| 2 | Regulatory capital balance sheet | Pages 23-24 of the Supplementary Financial Information package, which can be found here: http://www.rbc.com/investorrelations/pdf/q414supp.pdf |
| 3 | Flow statement of the movements in regulatory capital | Page 25 of the Supplementary Financial Information package, which can be found here: http://www.rbc.com/investorrelations/pdf/q414supp.pdf |
| 4 | Total capital risk 0x002D weighted assets | Page 26 of the Supplementary Financial Information package, which can be found here: http://www.rbc.com/investorrelations/pdf/q414supp.pdf |
| 5 | Market Risk – Risk 0x002D weighted assets by approach (all-in basis) | Page 27 of the Supplementary Financial Information package, which can be found here: http://www.rbc.com/investorrelations/pdf/q414supp.pdf |
| 6 | Total capital risk 0x002D weighted assets by business segments (all-in-basis) | Page 28 of the Supplementary Financial Information package, which can be found here: http://www.rbc.com/investorrelations/pdf/q414supp.pdf |
| 7 | Movement of total capital risk weighted assets by risk type (all-in basis) | Page 28 of the Supplementary Financial Information package, which can be found here: http://www.rbc.com/investorrelations/pdf/q414supp.pdf |
| 8 | Attributed capital | Page 28 of the Supplementary Financial Information package, which can be found here: http://www.rbc.com/investorrelations/pdf/q414supp.pdf |
| 9 | Main Features Report: Main Features of Outstanding Regulatory Capital Instruments | http://www.rbc.com/investorrelations/pdf/capitalq414.pdf |
| 10 | Terms and Conditions of Preferred Shares | http://www.rbc.com/investorrelations/share-information.html |
| 11 | Terms and Conditions of Subordinated Debt | http://www.rbc.com/investorrelations/subordinated-debt.html |
| 12 | Terms and Conditions of Trust Capital Securities | http://www.rbc.com/investorrelations/trust-capital-securities.html |


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| Projects -Oracle 11i E business Suite |
|
Oracle 11i E Business suite (Year 2003-present)
Oracle Applications is a collection of financial, manufacturing, supply chain, human resource, and sales and marketing applications designed to operate virtually every aspect of large companies. The key buzzwords to describe this type of business are ERP (for Enterprise Resource Planning) and CRM (for Customer Relationship Management).
Technically, these are distinct types of software, but Oracle has recently combined both offerings into one package — a nice selling point, given you want your salespeople to know what you have in inventory before promising it to customers. The latest release of the suite has over 220 individual products, such as Accounts Payable, Order Management, Supply Chain Planning, Internet Procurement, Call Center, Payroll, and so on. It's the industry's second largest-selling application suite, rivaled only by our chief competitor SAP AG in ERP.The technology that makes this suite work is all Oracle from top to bottom. We call this the "technology stack", as it consists of many layers, each of which carries dependencies on the layer beneath it. For example, the foundation of our product is the Oracle 9i Server, our relational database. On top of this, we build forms (using Oracle Forms) for querying and entering data from end users, and reports (using Oracle Reports) for displaying present and historical data. These forms and reports are delivered to the user via a web server (Oracle 10g Application Server).
We also integrate with large data warehouses (Oracle Data Warehouse...sensing a pattern yet?) for analyzing huge amounts of historical data. The list of components to this "stack" goes on — there are literally dozens of different technologies we collect to put everything together, most from within Oracle, but some from third-party companies every once in a while.
Links and Mailing Lists
appstech_us at oracle.com (replace at by you know what!! )


Department
Department ID:
Department Name:
Department Number:
Department Phone Number:
Department Office Number:
Search Department by Name:
Department Name:
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Department Id
Department Name
Department Number
Department Phone
Department Office Number
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Delete Department
Department ID: