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Our Tacoma, WA, S‑VIDIA Authorised Retail Store is the best place to test-drive and explore S‑VIDIA products, receive hands-on technical support and hardware repair directly from the manufacturer, and get personal training on our equipment.
"The future of this compression method lies in the hands of those who demand quality, depend on accuracy and clarity of evidence, and will benefit from our endless growing catalogue of security possibilities."


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## Haskell in practice
by Martin Taranza
https://github.com/trin-cz
ask questions during talk!
but not about Monads!
## GlxGears in Haskell
![](public/images/glxgears_small.png)
- rewrite in Haskell/GLUT (~400 lines)
- worked "somehow" after compilation
- https://github.com/trin-cz/glxgears-haskell
## Why Haskell?
- (very probably) works after compilation
## Immutability - Python
```
class Point:
def __init__(self,x,y):
self.x = x
self.y = y
def main():
p1 = Point(5,7)
p2 = p1
print (p2.x, p2.y)
p1.x = 211
print (p2.x, p2.y)
```
## Immutability - Haskell
```
data Point n = Point n n
pX (Point x _) = x
pY (Point _ y) = y
setX (Point x y) new_x = Point new_x y
main = do
let pA0 = Point 5 7
pB = pA0
putStrLn . show $ (pX pB, pY pB)
let pA1 = setX pA 211
putStrLn . show $ (pX pB, pY pB)
```
## Immutability - React/Redux
- Very popular framework
- Immutability "enforced" by convention
- "We don't mutate the state"
```
function todoApp(state = initialState, action) {
switch (action.type) {
case SET_VISIBILITY_FILTER:
return Object.assign({}, state, {
visibilityFilter: action.filter
})
default:
return state
}
}
```
## Immutability - Elm
```
update msg state =
case msg of
SetVisibilityFilter filter ->
( { state | filter = filter }
, Cmd.none
)
```
## Immutability
- devs want it
- easier thinking requires enforced immutability
- 2012/2013 Erlang in Klarna AB
## Why Haskell (or Elm)?
- (very probably) works after compilation
- is immutable (no way around it)
## Type checking
... jen se mi lip dela, kdyz soucastky daji vedet, ze k sobe pasuji. V Pythonu muzu pripojit
vodovodni hadici na sloni chobot a bude to nejak fungovat. Problem je, ze na ten chobot muzu
pripojit i trifazovou zastrcku a az potom zjistim, ze mi cirkularka nejede a mam nastvaneho slona.
## Type checking - Python
```
def matrixMult (A, B):
rows_A = len(A)
cols_A = len(A[0])
rows_B = len(B)
cols_B = len(B[0])
if cols_A != rows_B:
print "Cannot multiply. Incorrect dimensions."
return
...
```
## Type checking - Haskell
```
data Zero
data Succ a
class TLN a where
fromTLN :: a -> Int
instance TLN Zero where
fromTLN = const Zero
instance TLN a => TLN (Succ a) where
fromTLN = 1 + fromTLN (undefined :: a)
data Matrix x y n = ...
matrixMult :: (TLN x, TLN y, TLN t, Num a)
=> Matrix x t a -> Matrix t y a -> Matrix x y a
matrixMult mA mB = ...
```
## Type checking - React/Redux
- "We return the previous state in the default case"
```
function todoApp(state = initialState, action) {
switch (action.type) {
case SET_VISIBILITY_FILTER:
return Object.assign({}, state, {
visibilityFilter: action.filter
})
default:
return state
}
}
```
## Type checking - Elm
```
update : Msg -> State -> (State, Cmd)
update msg state =
case msg of
SetVisibilityFilter filter ->
( { state | filter = filter }
, Cmd.none
)
_ ->
"Value, which does not typecheck"
```
## Why Haskell (or Elm)?
- (very probably) works after compilation
- is immutable (no way around it)
- typechecks everything
## Effects - Python
```
class State:
def __init__(self,value):
self._value = value
def add(self, valueDiff):
self._value += valueDiff
@property
def value(self):
print "Value was read!"
return self._value
def main():
s = State(7)
s.add(3)
print s.value```
## Effects - Haskell 1
```
data MyState = MyState Int
mystateAdd :: Int -> StateT MyState IO ()
mystateAdd valueDiff = do
MyState value <- get
put (MyState (value + valueDiff))
mystateValue :: StateT MyState IO Int
mystateValue = do
MyState value <- get
liftIO $ putStrLn "Value was read!"
return value```
## Effects - Haskell 2
```
mainAction :: StateT MyState IO ()
mainAction = do
mystateAdd 3
value <- mystateValue
liftIO . putStrLn $ show value
main = runStateT mainAction (MyState 7)```
## Why Haskell (or Elm)?
- (very probably) works after compilation
- is immutable (no way around it)
- typechecks everything
- effects are explicit
## Benefits
- testing on higher level
- fast iteration cycles
- better understanding of data flow
- possibility to "scope" thinking
- bad programmers will do less damage
## Scrive.com
- eSigning
- ~50 employees
- ~10 Haskell devs fully remote
- PostgreSQL, Java, React/Redux/Elm, AWS, ...
- We are hiring!


Preamble: This roadmap means to provide user and contributors with a high-level summary of ongoing efforts, grouped by the major threads to which the efforts belong. With so much that is happening in Flink, we hope that this helps with understanding the direction of the project. The roadmap contains both efforts in early stages as well as nearly completed efforts, so that users may get a better impression of the overall status and direction of those developments.
More details and various smaller changes can be found in the FLIPs
The roadmap is continuously updated. New features and efforts should be added to the roadmap once there is consensus that they will happen and what they will roughly look like for the user.
Last Update: 2021-03-01
The feature radar is meant to give users guidance regarding feature maturity, as well as which features are approaching end-of-life. For questions, please contact the developer mailing list<EMAIL_ADDRESS>Flink is a streaming data system in its core, that executes “batch as a special case of streaming”. Efficient execution of batch jobs is powerful in its own right; but even more so, batch processing capabilities (efficient processing of bounded streams) open the way for a seamless unification of batch and streaming applications.
Unified streaming/batch up-levels the streaming data paradigm: It gives users consistent semantics across their real-time and lag-time applications. Furthermore, streaming applications often need to be complemented by batch (bounded stream) processing, for example when reprocessing data after bugs or data quality issues, or when bootstrapping new applications. A unified API and system make this much easier.
The community has been building Flink to a powerful basis for a unified (batch and streaming) SQL analytics platform, and is continuing to do so.
SQL has very strong cross-batch-streaming semantics, allowing users to use the same queries for ad-hoc analytics and as continuous queries. Flink already contains an efficient unified query engine, and a wide set of integrations. With user feedback, those are continuously improved.
More Connector and Change Data Capture Support
Platform Infrastructure
Support for Common Languages, Formats, Catalogs
Flink has a broad SQL coverage for batch (full TPC-DS support) and a state-of-the-art set of supported operations in streaming. There is continuous effort to add more functions and cover more SQL operations.
The DataStream API is Flink’s physical API, for use cases where users need very explicit control over data types, streams, state, and time. This API is evolving to support efficient batch execution on bounded data.
DataStream API executes the same dataflow shape in batch as in streaming, keeping the same operators. That way users keep the same level of control over the dataflow, and our goal is to mix and switch between batch/streaming execution in the future to make it a seamless experience.
Unified Sources and Sinks
The first APIs and implementations of sources were specific to either streaming programs in the DataStream API (SourceFunction), or to batch programs in the DataSet API (InputFormat).
In this effort, we are creating sources that work across batch and streaming execution. The aim is to give users a consistent experience across both modes, and to allow them to easily switch between streaming and batch execution for their unbounded and bounded streaming applications. The interface for this New Source API is done and available, and we are working on migrating more source connectors to this new model, see FLIP-27.
Similar to the sources, the original sink APIs are also specific to streaming (SinkFunction) and batch (OutputFormat) APIs and execution.
We have introduced a new API for sinks that consistently handles result writing and committing (Transactions) across batch and streaming. The first iteration of the API exists, and we are porting sinks and refining the API in the process. See FLIP-143.
DataStream Batch Execution
Flink is adding a batch execution mode for bounded DataStream programs. This gives users faster and simpler execution and recovery of their bounded streaming applications; users do not need to worry about watermarks and state sizes in this execution mode: FLIP-140
The core batch execution mode is implemented with great results; there are ongoing improvements around aspects like broadcast state and processing-time-timers. This mode requires the new unified sources and sinks that are mentioned above, so it is limited to the connectors that have been ported to those new APIs.
Mixing bounded/unbounded streams, and batch/streaming execution
Support checkpointing when some tasks finished & Bounded stream programs shut down with a final checkpoint: FLIP-147
There are initial discussions and designs about jobs with mixed batch/streaming execution, so stay tuned for more news in that area.
We want to eventually drop the legacy Batch-only DataSet API, have batch-and stream processing unified throughout the entire system.
Overall Discussion: FLIP-131
The DataStream API supports batch-execution to efficiently execute streaming programs on historic data (see above). Takes over that set of use cases.
The Table API should become the default API for batch-only applications.
Improve the interplay between the Table API and the DataStream API to allow switching from Table API to DataStream API when more control over the data types and operations is necessary.
The goal of these efforts is to make it feel natural to deploy (long running streaming) Flink applications. Instead of starting a cluster and submitting a job to that cluster, these efforts support deploying a streaming job as a self contained application.
For example as a simple Kubernetes deployment; deployed and scaled like a regular application without extra workflows.
Deploy Flink jobs as self-contained Applications works for all deployment targets since Flink 1.11.0 (FLIP-85).
Reactive Scaling lets Flink applications change their parallelism in response to growing and shrinking worker pools, and makes Flink compatibel with standard auto-scalers: FLIP-159
Kubernetes-based HA-services let Flink applications run on Kubernetes without requiring a ZooKeeper dependency: FLIP-144
Continuous work to keep improving performance and recovery speed.
The community is continuously working on improving checkpointing and recovery speed. Checkpoints and recovery are stable and have been a reliable workhorse for years. We are still trying to make it faster, more predictable, and to remove some confusions and inflexibility in some areas.
The community is working on making large scale batch execution (parallelism in the order of 10,000s) simpler (less configuration tuning required) and more performant.
Introduce a more scalable batch shuffle. First parts of this have been merged, and ongoing efforts are to make the memory footprint (JVM direct memory) more predictable, see FLIP-148
Make scheduler faster for higher parallelism: FLINK-21110
Stateful transformation functions for the Python DataStream API: FLIP-153
There are various dedicated efforts to simplify the maintenance and structure (more intuitive navigation/reading) of the documentation.
The Stateful Functions subproject has its own roadmap published under statefun.io.


A set of constants for the style that can be used for the button style property of Titanium.UI.TableView.
| Name | Type | Description |
|---|---|---|
| GROUPED | int | A table view whose sections present distinct groups of rows. The section headers and footers do not float. |
| PLAIN | int | A plain table view. Any section headers or footers are displayed as inline separators and float when the table view is scrolled. |


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 113488general/66754Quantifyingoveranuninhabitedtypefalseempty.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/113488-general/topic/Quantifying.20over.20an.20uninhabited.20type.20(false.2F.20empty).html


Program Development
Grade 10Introduction to programming languages and the software development life cycle.
Lesson references and study guides for students
Skip to main content Pumunta sa mismong nilalamanI have recognized the lack of learning resources for high school and elementary students in the Philippines. This contains links, files, lessons, and study guides to help students learn ICT.
There are also speacial features in this site. For example, when I give assignments to my students, I give them special code to answer keys once the assignments have been checked so they could check it when they want to review.
However, I do not aim this to be an exclusive repository. Rather, I intend this for public use. For more information on which content from here are allowed for your use, you can check out the license.
Introduction to programming languages and the software development life cycle.
Elements of the computer system and how to properly take care of your computer.
Introduction to programming languages and the software development life cycle.


Change password input aspect (color of the box-shadow):
Change background of a sibling box (with css3 transition) :
Change background of the current input (textcolor = normal / complementary / monochrome):
Change background of the body (only if the password input got the focus) :
Generate an identicon (or a colored box on old browsers) :
Bind only on the "change" event and force redraw on fingerprint hover :
Use deter with full custom behaviour (get a look into the code): Click on me ! clear fill with a random string
Use deter on dom element created dynamically (get a look into the code):
Enter your password:


| Product | Descrition | Discount | Total |
|---|---|---|---|
| Concept | Creating project concept and logic | 0 | $1,100 |
| General design | Design prototype | 0 | $2,000 |
| Front end development | Coding and connecting front end | 0 | $1,600 |
| Database | Creating and connecting database | 0 | $890 |
| Subtotal: | $103,850 |
|---|---|
| Tax: | $5,192 |
| Total: | $109,042 |
| Product | Descrition | Discount | Total |
|---|---|---|---|
| Concept | Creating project concept and logic | 0 | $1,100 |
| General design | Design prototype | 0 | $2,000 |
| Front end development | Coding and connecting front end | 0 | $1,600 |
| Database | Creating and connecting database | 0 | $890 |
| Subtotal: | $103,850 |
|---|---|
| Tax: | $5,192 |
| Total: | $109,042 |


Northern permafrost soils represent the largest terrestrial organic carbon pool (1330–1580 petagrams, Pg) 1 on Earth. While frozen, this soil carbon reservoir is stable.
However, recent observations 2– 5 and projections 1, 6– 10 of future soil warming and permafrost thaw suggest that permafrost soil carbon will be increasingly vulnerable to decomposition by microbes that generate the greenhouse gases carbon dioxide (CO 2) and methane (CH 4). This release of permafrost carbon as greenhouse gases constitutes a positive feedback likely to amplify climate warming beyond most current earth system model projections 1.
Recent permafrost carbon feedback (PCF) estimates indicate 23–174 Pg of permafrost soil carbon emission by 2100 under the Representative Concentration Pathway (RCP) 8.5 scenario 1, 7, 8 and 6–33 Pg C under RCP4.5 7, 8. Such permafrost carbon emission trajectories, which were not included in the Intergovernmental Panel on Climate Change (IPCC)’s Fifth Assessment Report (AR5) 11, would increase global temperatures predicted for 2100 by ~0.3 ± 0.2 °C (RCP8.5) 6. Compared to CO 2, CH 4 is considered the lesser cause of warming, responsible for < 20% of the total PCF temperature increase 6 despite its much higher global warming potential 12. The land-surface carbon models, which operate at large landscape scales and account for very basic permafrost-soil thermodynamics and its control on soil organic carbon decomposition 6– 10, represent only gradual, top-down thaw of permafrost soils by active layer deepening (i.e., increasing seasonal surface thaw). They do not consider the mechanism of deeper, abrupt thaw.
Thermokarst, the most widespread form of abrupt permafrost thaw 13, occurs when soil warming melts ground ice, causing land surface collapse 14, 15. Water pooling in collapsed areas leads to formation of taliks (unfrozen thaw bulbs) beneath expanding lakes, accelerating permafrost thaw far faster and deeper than would be predicted from changes in air temperature alone 16– 19. Remote sensing and field observations reveal that localized abrupt thaw features, including thermokarst lakes, thermo-erosional gullies, thaw slumps, and peat-plateau collapse scars, are extensive across northern landscapes with ice-rich permafrost 13. Despite two decades of observations showing that thermokarst lakes 20, 21 and other abrupt thaw features 22 are hotspots of 14C-depleted permafrost-derived CH 4 emissions (Fig. 1), the impact of abrupt thaw on state-of-the-art land-model predicted PCF 6– 10 remains unknown.
Methane bubbling in an interior Alaska abrupt thaw lake. Methane bubbles released by ebullition from thaw bulbs beneath thermokarst lakes are seasonally trapped in winter lake ice forming white bubble patches. High bubbling rates of particularly strong ebullition seeps known as hotspots maintain ice-free holes in winter lake ice. Ebullition hotspots are indicative of abrupt thaw environments, where the rapid (decadal-scale) transformation of terrestrial permafrost to deep thaw bulbs beneath lakes fuels anaerobic decomposition of 14C-depleted soil organic carbon and the release of 14C-depleted CH 4 in bubbles 20, 21. Diameters of the ice-free hotspot holes shown in this October 17, 2016 photograph are between 0.4 and 0.9 m
Here we re-analyzed model output from an earth system model, the Community Land Model version 4.5 (CLM4.5BGC) 7, to identify the carbon-emissions fraction originating from gradual permafrost thaw on land, and to quantify the increase to 21st-century circumpolar permafrost-carbon emissions by including warming-induced abrupt thaw beneath thermokarst lakes. Our abrupt thaw emissions are derived from a vertically- and latitudinally-resolved box model of permafrost carbon processes, including a novel component conceptually describing circum-Arctic thermokarst-lake dynamics and related carbon release 23, which we refer to here as the Abrupt Thaw (AThaw) model (Supplementary Table 1).
CLM4.5BGC and AThaw differ in model complexity, forcing parameters, and resolution (Methods), but both include basic sets of permafrost processes and multiple soil organic carbon pools for projecting permafrost-carbon dynamics 7, 23. CLM4.5BGC focuses on gradual, homogenous thaw affecting only surface permafrost (< 3 m) across the landscape. It also accounts for carbon cycling in the seasonal active layer and stimulation of plant growth by future elevated atmospheric CO 2 concentrations and increased nitrogen mineralization with increasing soil organic matter decomposition 7. In contrast, AThaw simulates the more heterogeneous process of abrupt, deeper (≤15 m) thaw beneath newly-formed and expanding thermokarst lakes. AThaw lacks the CO 2 fertilization effect since plant uptake of atmospheric carbon is negligible in lakes when permafrost-carbon emissions dominate the first century of lake formation 16, 24; however, processes of lake drainage and carbon fluxes associated with plants colonizing drained lake basins are considered (Supplementary Note 1). Here we summed gradual- and abrupt-thaw carbon fluxes as two independent processes, after avoiding double counting on the ≤ 6% land surface area occupied by abrupt thaw lakes. Fluxes are presented in carbon dioxide equivalents (C-CO 2e) to account for the ~28 times larger global warming potential of CH 4 at the century time scale (GWP 100) 12 (Supplementary Table 2). We also calculated the circumpolar permafrost-carbon radiative effect (CPCRE), which is the radiative forcing due to atmospheric perturbations in CH 4 and CO 2 concentration for these permafrost-soil-carbon flux trajectories. Model results for years 1950–2017 are comparable to observational records from recent decades. Model results also reveal a significant increase to 21st century circumpolar permafrost-carbon emissions and associated radiative forcing by including warming-induced abrupt thaw beneath thermokarst lakes. These findings demonstrate the need to incorporate abrupt thaw processes in earth system models for more comprehensive projection of PCF this century.


You will need to choose which GitHub account you wish to work with, as well as whether it's a user or organization account. Do this by creating different profiles for different accounts.
Note: The first time using this app, it will automatically generate a new sample profile. You may choose to overwrite this, or create more.
Note: If you are upgrading from a version before profiles, you will have a "Default" one automatically converted for you instead.


"Bellerbys helped me to achieve all my academic goals. My teachers always encouraged me to go for the best and believed in me. I wouldn't be where I am now without all their support and help."
Yuliya from Russia"All the people in my class are about my age, so it's perfect for making friends. Before I came here I was shy speaking English, but now I'm conﬁdent, I'm not afraid to speak and make mistakes as I learn."
Constanza from Spain"The learning environment in Bellerbys is friendly and motivating. The classes are conducted in small groups, where interactive discussion and independent thoughts can take place."
Kai Shen Justin from Malaysia"I chose to study with Martin because I wanted to study a course that would get me out in the workplace, sooner rather than later. When I graduated I landed the job that I am still in today... It's so exciting"
Beverley from Australia"There are people here from Brazil, from Turkey, from all over - so it's good for improving my English, as we all need to speak the same language together."
Alice from France"The teachers have taught me so much in such a short time - that's the great thing about being here at Embassy. My class is a mix of all different nationalities, when we're all together we all speak English."
Anna from Sweden"Teachers become the reason why you don't want to miss class. They make everything interesting and fun."
Valentin from Colombia"I would definitely recommend the school as it is a great environment to study English in. The teachers are all extremely dedicated and care about their students and their results."
Lisa from the Netherlands"Thanks to the Auckland Foundation Year, I gained the necessary knowledge to support my journey to university. The class sizes were small therefore it was very easy to meet people and make new friends."
Jackie from Vietnam"I wouldn't be where I am now without my teachers who were constantly encouraging me to push myself forwards to my intellectual limits."
Darija from Ukraine"Bellerbys gave me a strong background in all the subjects I needed for university and they taught me how to organise my work to succeed."
Adam from France"The money raised through Building Futures has transformed seven communities in nine years with our eighth project underway."
"I would not have been able to achieve my first-class degree, resulting in two academic excellence awards and funded PhD research, without the help of the International Study Centre."
Mohsen from Iran"I am very happy that I chose to study the International Foundation Year at the University of Surrey International Study Centre. It provided me with fundamental knowledge required for the subjects I am studying on my degree."
Ivey from China"LJMU is a great university with a recognised degree. The ISC provides a supportive environment preparing us for University. Liverpool is an affordable yet amazing city - I love the Albert Docks, with its cinemas and museums."
Muhammad Saeed from Pakistan"I enrolled in online and on-campus classes, and have found my passion in life. The flexibility made it possible for me to start creating a new life immediately."
Sharon from Australia"The teachers were very friendly and I liked working with my classmates.  I like the UK, especially Lincoln because it is so different from China."
Hong from China"The Dublin ISC gives you the golden opportunity to join either UCD or Trinity, and there is a huge variety of degree courses that can be chosen. I am very proud to be studying here."
Ivan from Ukraine"Within six weeks of my last class at ACPE, I secured my current job role of Game Development Officer for the National Rugby League."
Ben from Australia"UVM is a very good college; it is ranked very high for the courses I'm pursuing. I also love how close downtown is to the campus. The people in the community are lovely, very inclusive and very welcoming to other cultures."
Akriti from India"I have made many friends here. I meet my friends outside the school for coffee, and we just speak in English - everybody is friendly."
Mohammad from UAE


data3
Businessmodel of Data#3
Customer Segments
Data#3 has a mass market business model, with no significant differentiation between customer segments. The company targets its offerings at organizations of all industries and sizes. That said, a significant portion of its customers are in the health, education, and government sectors.
Value Proposition
Data#3 offers three primary value propositions: innovation, performance, and brand/status.
The company embraces innovation as a part of its culture. It created the Solutions Framework, which it uses to articulate the business value of its technology solutions for clients’ business objectives. Part of the framework is the Technology Consumption Model, which lays out the different options available to clients for consumption of its technology solutions. These include on-premises and off-premises solutions, and purchase vs. pay-per-use payment models.
The company demonstrates strong performance through tangible results. Specific positive outcomes for clients include the following:
- Toyota Western Australia used Data#3’s solutions to overhaul its data storage environment, resulting in the ability to use its infrastructure for five years instead of just three
- Fuji Xerox Australia used Data#3’s solutions to facilitate sales staff skill improvement, resulting in an 87.5% reduction in employee report production time and overall increased productivity
- SPARQ Solutions used Data#3’s solutions to develop an enterprise-wide user training and support program, resulting in a productivity increase worth approximately $3.9 million per year
- Logan Water Infrastructure Alliance used Data#3’s solutions to transform the way its IT was delivered, resulting in the streamlining of licensing costs over three years
-
Brisbane Convention & Exhibition Centre used Data#3’s solutions to simplify its standard operating environment, resulting in reduced maintenance costs and increased efficiency The company has established a strong brand due to its success. It bills itself as one of the leading business technology solutions firms in Australia, with revenues of $983.2 million in 2016. It has over 1,100 employees operating out of offices across the continent. Its 2016 customer satisfaction survey resulted in an overall rating of 4 out of 5. Lastly, it has won many honors, including the following:
- AIRA Award for Best Investor Relations by a company in the S&P/ASX Emerging Companies Index
- An Employer of Choice Award for Australia’s Best Company from *HRD *Magazine
- Recognition as Borderless Technologies Partner of the Year, Smart Services Partner of the Year (Asia Pacific) and Alliance Manager of the Year at the Cisco ANZ Partner Conference
- Recognition as ARN’s Enterprise Reseller of the Year nine years in a row
- Microsoft Enterprise Partner of the Year Award ### Channels
Data#3’s main channel is its direct sales team. The company promotes its offerings through its website, social media pages, and participation in conferences.
Customer Relationships
Data#3’s customer relationship is primarily of a personal assistance nature. The company assists customers in the following ways:
Support Services – The company provides general phone and e-mail support
Professional Services – The company offers the following services:
- Consulting Services – The company offers various ICT consultation services to help clients align technology investments with business objectives; they are in the areas of strategy, architecture, planning and execution, business transformation, business continuity, and risk management
- Project Services – The company helps clients manage the complexities involved with project management, with specific types of projects including Mobility, Cloud, Security, Data/Analytics, and IT Lifecycle Management
- Management Services – The company provides managed services, becoming an extension of clients’ IT teams and partners that understand their business and technology requirements
- Resourcing – The company helps clients source, place, and retain IT professionals for their technology projects, through both on-site and remote assistance Despite this orientation, there is a self-service component. The company operates a customer portal through which it enables clients to carry out various activities such as licensing and returning products. Its website features a “Resources” section that includes useful tools such as white papers, customer case studies, and videos. It also provides access to an e-mail newsletter with updates.
Key Activities
Data#3’s business model entails designing, developing, and delivering its products and services for its customers.
Key Partners
Data#3’s key partners are the technology vendors that supply it with the resources it needs to develop its solutions and services. Specific partners include Cisco, Dell EMC, Adobe, Hewlett-Packard Enterprise, Lenovo, Microsoft, Symantec, Veritas, VMware, Autodesk, Citrix, Toshiba, and NetApp.
Key Resources
Data#3’s main resources are its human resources, who include the engineers that design and develop its products and services, the sales employees that sell them, the consultants that provide advisory services, and the customer service personnel that provide support.
It maintains important physical resources in the form of the data centers and configuration and warehousing facilities it operates across Australia.
Cost Structure
Data#3 has a value-driven structure, aiming to provide a premium proposition through significant personal service and frequent service enhancements. Its biggest cost driver is cost of goods sold, a variable expense.
Other major drivers are internal employee/contractor costs and cost of sales.
Revenue Streams
Data#3 has two revenue streams:
- Product Revenues – Revenues it generates from the sale of software and hardware licenses for its clients‘ desktop, network, and data centre infrastructure
- Service Revenues – Revenues it generates from the sale of consulting, project, managed, maintenance, and workforce recruitment/contracting services


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Class
RankSupportBitStringA bit string supporting rank queries in constant time.
A bit string supporting rank queries in constant time.
| Defined in | <seqan/index.h> |
|---|---|
| Signature |
template <typename TSpec>
class RankSupportBitString;
|
Template Parameters
TSpec |
Specialisation tag. Default: void |
|---|
Interface Function Overview
-
appendValue(bitString, bit)
Appends a bit to a RankSupportBitString. -
clear(bitString)
Resets an rank-support-bit string. -
bool empty(bitString)
Checks whether or not a rank-support-bit string contains any elements. -
getFibre(bitString, fibreTag)
Returns a specific fibre of a rank-support-bit string. -
getRank(bitString, pos)
Returns the rank (the number of bits set from the start of the bit string) of a specified position. -
isSetBit(bitString, pos)
Returns whether the bit with the given index is set to 1. -
length(bitString)
Returns the number of bits in the rank-support-bit string. -
open(bitString, fileName [, openMode])
This functions opens a RankSupportBitString from disk. -
TSize resize(bitString, newLenght)
Resets the number of bits in the rank-support-bit string. -
save(bitString, fileName [, openMode])
This functions saves a RankSupportBitString to disk. -
setBitTo(bitString, pos, value)
Set the bit with the given position to the given value.
Detailed Description
The constant rank query time is achieved by evaluating precomputed subsolutions. In order to do so, the bit string is divided into blocks of length l. A super block string stores for each block of l blocks the number of bits set from the beginning. In addition a block string stores the number of bits set in each block from the start of the last super block block. Therefore it is possible to compute the result of a rank query in constant time by adding information from the bit, block and super block string.
Interface Functions Detail
appendValue(bitString, bit)
Appends a bit to a RankSupportBitString.
Parameters
target
|
A container. Types: RankSupportBitString |
|---|---|
bit
|
Value that is appended to target.If the value is different from 0 it is interpreted as 1. Types: UnsignedIntegerConcept, bool |
Data Races
Thread safety unknown!
clear(bitString)
Resets an rank-support-bit string.
Parameters
bitString
|
The bit string to be cleared. |
|---|
Data Races
Thread safety unknown!
bool empty(bitString)
Checks whether or not a rank-support-bit string contains any elements.
Parameters
bitString
|
The rank-support-bit string to be checked. |
|---|
Returns
bool |
Returns true if the rank-support-bit string is empty and false otherwise. |
|---|
Data Races
Thread safety unknown!
getFibre(bitString, fibreTag)
Returns a specific fibre of a rank-support-bit string.
Parameters
fibreTag
|
A tag that identifies the Fibre. Types: RankSupportBitString Fibres. |
|---|---|
bitString
|
The rank-support-bit string holding the fibre. |
Returns
TReturn |
A reference to the Fibre object. |
|---|
Data Races
Thread safety unknown!
getRank(bitString, pos)
Returns the rank (the number of bits set from the start of the bit
string) of a specified position.
Parameters
bitString
|
The bit string. Types: RankSupportBitString |
|---|---|
pos
|
Position of a bit. |
Returns
TReturn |
Value of Fibre of the rank-support-bit string. |
|---|
Data Races
Thread safety unknown!
isSetBit(bitString, pos)
Returns whether the bit with the given index is set to 1.
Parameters
bitString
|
The bit string. |
|---|---|
pos
|
Position of the bit. Types: UnsignedIntegerConcept |
Returns
TReturn |
Returns whether a specified bit is set or not. |
|---|
Data Races
Thread safety unknown!
length(bitString)
Returns the number of bits in the rank-support-bit string.
Parameters
bitString
|
The rank-support-bit string. |
|---|
Returns
TReturn |
Types: Value of Fibre of the rank-support-bit string. |
|---|
Data Races
Thread safety unknown!
open(bitString, fileName [, openMode])
This functions opens a RankSupportBitString from disk.
Parameters
openMode
|
The combination of flags defining how the file should be opened.To open a file read-only, write-only or to read and write use OPEN_RDONLY, OPEN_WRONLY, or OPEN_RDWR.To create or overwrite a file add OPEN_CREATE.To append a file if existing add OPEN_APPEND.To circumvent problems, files are always opened in binary mode. Default: OPEN_RDWR | OPEN_CREATE | OPEN_APPEND |
|---|---|
bitString
|
The bit string to be opened. |
fileName
|
C-style character string containing the file name. |
Returns
TReturn |
A bool which is true on success. |
|---|
Data Races
Thread safety unknown!
TSize resize(bitString, newLenght)
Resets the number of bits in the rank-support-bit string.
Parameters
bitString
|
The rank-support-bit string. |
|---|---|
newLength
|
The number of elements which should be stored in the compressed suffix array. Types: UnsignedIntegerConcept. |
Returns
TSize |
The number of elements in the rank-support-bit string. Types: The result of Size of the rank-support-bit string. |
|---|
Note If the new length is smaller than the actual one then the last x items of the rank-support-bit string are deleted with x = oldLength - newLength.
Data Races
Thread safety unknown!
save(bitString, fileName [, openMode])
This functions saves a RankSupportBitString to disk.
Parameters
openMode
|
The combination of flags defining how the file should be opened.To open a file read-only, write-only or to read and write use OPEN_RDONLY, OPEN_WRONLY, or OPEN_RDWR.To create or overwrite a file add OPEN_CREATE.To append a file if existing add OPEN_APPEND.To circumvent problems, files are always opened in binary mode. Default: OPEN_RDWR | OPEN_CREATE | OPEN_APPEND |
|---|---|
bitString
|
The bit string to be saved. |
fileName
|
C-style character string containing the file name. |
Returns
TReturn |
A bool which is true on success. |
|---|
Data Races
Thread safety unknown!
setBitTo(bitString, pos, value)
Set the bit with the given position to the given value.
Parameters
pos
|
Position of the bit. Types: UnsignedIntegerConcept |
|---|---|
bitString
|
The bit string. |
bit
|
The value of the bit. Note that values different from 0 are interpreted as 1. |
Returns
TReturn |
void |
|---|
Examples
Data Races
Thread safety unknown!


--- layout: post title: Busy bees date: 2007-02-24 00:00:00 categories: business mobile personal ---
Argh. We're rather busy at the moment so I've been concentrated on Doing Real Things For Clients rather than thinking and blogging. So it's remiss of me not to have mentioned a few things we've been doing that are really floating my boat. Apologies for the vagueness, I've signed so many NDAs over the years that I'm not really allowed to say anything any more :) I'll shout more here when I get permission, promise.
Oh, and at last we relaunched our web site (cheers to Mr Ribot and the late Mr Andrews for their work on this). We're off to the lovely Murasaki tonight to celebrate endings and beginnings of a few projects: Flickr will record all.


Language & Tools
Coding tools I am familiar with.
- HTML5
- JS
- CSS3
- Bootstrap4
- React
- Node.js
- Python
- Flask
- VS Studio Code
Projects
Works on my freetime.
Want to see more?
Check out the rest of my projects on [Github]
or come see my [art]!


Taming and Training
This is the very first video I took of Apollo. After three months of trust building, taming, and "stepping up", we moved on to "come" and "target" which you can see here. I was stoked to get him to fly to me on command. (Well, on command might be stretching it, he understands what it means, but he only does it when he's in the mood.)
Building Trust
Taming and training a budgie is all about building trust. During the first couple of weeks it is important to take it slow, and show your little bird that he is safe in his new home.
Getting Out of the Cage
After a couple weeks of settling in, I wanted to let Apollo out of his cage to get some exercise. It was a bit of a gong show, but we both made it through more or less intact.
Learning to Fly, Again
Since Apollo's wings were clipped when I got him, he had a hard time controlling his flight for the first few months I had him. But as he molted and his new flight feathers grew in he became a pro once again, after only a few bumps and bruises.


Developing software solutions to unleash the power of data.
Delivering projects using latest technologies and tools.


If you are interested in applying to be a teaching assistant for a class, please fill out the below form. Enter in which classes you would like this application to be submitted for and click "Save Application."


Concept¶
Discriminative classifiers, as we saw in the previous chapter, model a target variable as a direct function of one or more predictors. Generative classifiers, the subject of this chapter, instead view the predictors as being generated according to their class—i.e., they see the predictors as a function of the target, rather than the other way around. They then use Bayes’ rule to turn \(P(\bx_n|Y_n = k)\) into \(P(Y_n = k|\bx_n)\).
In generative classifiers, we view both the target and the predictors as random variables. We will therefore refer to the target variable with \(Y_n\), but in order to avoid confusing it with a matrix, we refer to the predictor vector with \(\bx_n\).
Generative models can be broken down into the three following steps. Suppose we have a classification task with \(K\) unordered classes, represented by \(k = 1, \dots, K\).
Estimate the density of the predictors conditional on the target belonging to each class. I.e., estimate \(p(\bx_n|Y_n = k)\) for \(k = 1, \dots, K\).
Estimate the prior probability that a target belongs to any given class. I.e., estimate \(P(Y_n = k)\) for \(k = 1, \dots, K\). This is also written as \(p(Y_n)\).
Using Bayes’ rule, calculate the posterior probability that the target belongs to any given class. I.e., calculate \(p(Y_n = k|\bx_n) \propto p(\bx_n|Y_n = k)p(Y_n = k)\) for \(k = 1, \dots, K\).
We then classify observation \(n\) as being from the class for which \(P(Y_n = k|\bx_n)\) is greatest. In math,
Note that we do not need \(p(\bx_n)\), which would be the denominator in the Bayes’ rule formula, since it would be equal across classes.
Note
This chapter is oriented differently from the others. The main methods discussed—Linear Discriminant Analysis, Quadratic Discriminant Analysis, and Naive Bayes—share much of the same structure. Rather than introducing each individually, we describe them together and note (in section 2.2) how they differ.
1. Model Structure¶
A generative classifier models two sources of randomness. First, we assume that out of the \(K\) possible classes, each observation belongs to class \(k\) independently with probability \(\pi_k\). In other words, letting \(\bpi =\begin{bmatrix} \pi_1 & \dots & \pi_K\end{bmatrix}^\top \in \mathbb{R}^{K}\), we assume the prior
See the math note below on the Categorical distribution.
Math Note
A random variable which takes on one of \(K\) discrete and unordered outcomes with probabilities \(\pi_1, \dots, \pi_K\) follows the Categorical distribution with parameter \(\bpi = \begin{bmatrix} \pi_1 & \dots & \pi_K \end{bmatrix}^\top\), written \(\text{Cat}(\bpi)\). For instance, a single die roll is distributed \(\text{Cat}(\bpi)\) for \(\bpi = \begin{bmatrix} 1/6 \dots 1/6 \end{bmatrix}^\top\).
The density for \(Y \sim \text{Cat}(\bp)\) is defined as
This can be written more compactly as
where \(I_k\) is an indicator that equals 1 if \(y = k\) and 0 otherwise.
We then assume some distribution for \(\mathbf{x}_n\) conditional on observation \(n\)’s class, \(Y_n\). We typically assume all the \(\bx_n\) come from the same family of distributions, though the parameters depend on their class. For instance, we might have
though we wouldn’t let one conditional distribution be Multivariate Normal and another be Multivariate \(t\). Note that it is possible, however, for the individual variables within the random vector \(\bx_n\) to follow different distributions. For instance, if \(\bx_n = \begin{bmatrix} x_{n1} & x_{n2} \end{bmatrix}^\top\), we might have
The machine learning task is to estimate the parameters of these models—\(\bpi\) for \(Y_n\) and whatever parameters might index the possible distributions of \(\bx_n|Y_n\), in this case \(\bmu_k\) and \(\bSigma_k\) for \(k = 1, \dots, K\). Once that’s done, we can estimate \(p(Y_n = k)\) and \(p(\bx_n|Y_n = k)\) for each class and, through Bayes’ rule, choose the class that maximizes \(p(Y_n = k|\bx_n)\).
2. Parameter Estimation¶
2.1 Class Priors¶
Let’s start by deriving the estimates for \(\bpi\), the class priors. Let \(I_{nk}\) be an indicator which equals 1 if \(Y_n = k\) and 0 otherwise. Then the joint likelihood and log-likelihood are given by
where \(N_k = \sumN I_{nk}\) gives the number of observations in class \(k\) for \(k = 1, \dots, K\).
Math Note
The Lagrangian function provides a method for optimizing a function \(f(\bx)\) subject to the constraint \(g(\bx) = 0\). The Lagrangian is given by
\(\lambda\) is known as the Lagrange multiplier. The critical points of \(f(\bx)\) (subject to the equality constraint) are found by setting the gradients of \(\mathcal{L}(\lambda, \bx)\) with respect to \(\lambda\) and \(\bx\) equal to 0.
Noting the constraint \(\sum_{k = 1}^K \pi_k = 1\) (or equivalently \(\sum_{k = 1}^K\pi_k - 1 = 0\)), we can maximize the log-likelihood with the following Lagrangian.
This system of equations gives an intuitive solution:
which says that our estimate of \(p(Y_n = k)\) is just the sample fraction of observations from class \(k\).
2.2 Data Likelihood¶
The next step is to model the conditional distribution of \(\bx_n\) given \(Y_n\) so that we can estimate this distribution’s parameters. This of course depends on the family of distributions we choose to model \(\bx_n\). Three common approaches are detailed below.
2.2.1 Linear Discriminative Analysis (LDA)¶
In LDA, we assume
for \(k = 1, \dots, K\). Note that each class has the same covariance matrix but a unique mean vector.
Let’s derive the parameters in this case. First, let’s find the likelihood and log-likelihood. Note that we can write the joint likelihood as follows,
since \(\left(p(\bx_{n}|\bmu_k, \bSigma)\right)^{I_{nk}}\) equals 1 if \(y_n \neq k\) and \(p(\bx_n|\bmu_k, \bSigma)\) otherwise. Then we plug in the Multivariate Normal PDF (dropping multiplicative constants) and take the log, as follows.
Math Note
The following matrix derivatives will be of use for maximizing the above log-likelihood.
For any invertible matrix \(\mathbf{W}\),
where \(\mathbf{W}^{-\top} = (\mathbf{W}^{-1})^\top\). It follows that
We also have
For any symmetric matrix \(\mathbf{A}\),
These results come from the Matrix Cookbook.
Let’s start by estimating \(\bSigma\). First, simplify the log-likelihood to make the gradient with respect to \(\bSigma\) more apparent.
Then, using equations (2) and (3) from the Math Note, we get
Finally, we set this equal to 0 and multiply by \(\bSigma^{-1}\) on the left to solve for \(\hat{\bSigma}\):
where \(\mathbf{S}_T = \sumN\sumK I_{nk}(\bx_n - \bmu_k)(\bx_n - \bmu_k)^\top\).
Now, to estimate the \(\bmu_k\), let’s look at each class individually. Let \(N_k\) be the number of observations in class \(k\) and \(C_k\) be the set of observations in class \(k\). Looking only at terms involving \(\bmu_k\), we get
Using equation (4) from the Math Note, we calculate the gradient as
Setting this gradient equal to 0 and solving, we obtain our \(\bmu_k\) estimate:
where \(\bar{\bx}_k\) is the element-wise sample mean of all \(\bx_n\) in class \(k\).
2.2.2 Quadratic Discriminative Analysis (QDA)¶
QDA looks very similar to LDA but assumes each class has its own covariance matrix:
for \(k = 1, \dots, K\). The log-likelihood is the same as in LDA except we replace \(\bSigma\) with \(\bSigma_k\):
Again, let’s look at the parameters for each class individually. The log-likelihood for class \(k\) is given by
We could take the gradient of this log-likelihood with respect to \(\bmu_k\) and set it equal to 0 to solve for \(\hat{\bmu}_k\). However, we can also note that our \(\hat{\bmu}_k\) estimate from the LDA approach will hold since this expression didn’t depend on the covariance term (which is the only thing we’ve changed). Therefore, we again get
To estimate the \(\bSigma_k\), we take the gradient of the log-likelihood for class \(k\).
Then we set this equal to 0 to solve for \(\hat{\bSigma}_k\):
where \(\mathbf{S}_k = \sum_{n \in C_k} (\bx_n - \bmu_k)(\bx_n - \bmu_k)^\top\).
2.2.3 Naive Bayes¶
Naive Bayes assumes the random variables within \(\bx_n\) are independent conditional on the class of observation \(n\). I.e. if \(\bx_n \in \mathbb{R}^D\), Naive Bayes assumes
This makes estimating \(p(\bx_n|Y_n)\) very easy—to estimate the parameters of \(p(x_{nd}|Y_n)\), we can ignore all the variables in \(\bx_{n}\) other than \(x_{nd}\)!
As an example, assume \(\bx_n \in \mathbb{R}^2\) and we use the following model (where for simplicity \(n\) and \(\sigma^2_k\) are known).
Let the \(\btheta_k = (\mu_k, \sigma_k^2, p_k)\) contain all the parameters for class \(k\) . The joint likelihood function would become
where the two are equal because of the Naive Bayes conditional independence assumption. This allows us to easily find maximum likelihood estimates. The rest of this sub-section demonstrates how those estimates would be found, though it is nothing beyond ordinary maximum likelihood estimation.
The log-likelihood is given by
As before, we estimate the parameters in each class by looking only at the terms in that class. Let’s look at the log-likelihood for class \(k\):
Taking the derivative with respect to \(p_k\), we’re left with
which, will give us \(\hat{p}_k = \frac{1}{N_k}\sum_{n \in C_k} x_{n2}\) as usual. The same process would again give typical results for \(\mu_k\) and and \(\sigma^2_k\).
3. Making Classifications¶
Regardless of our modeling choices for \(p(\bx_n|Y_n)\), classifying new observations is easy. Consider a test observation \(\bx_0\). For \(k = 1, \dots, K\), we use Bayes’ rule to calculate
where \(\hat{p}\) gives the estimated density of \(\bx_0\) conditional on \(Y_0\). We then predict \(Y_0 = k\) for whichever value \(k\) maximizes the above expression.


Alpha Omega United is a community across multiple social medias, with focus on Twitch and discord at the moment.


Platform that can intelligently rate reviews in an automated manner. A platform that both product owner and consumer can make use of and make their purchasing or business decisions promptly. Censeosphere is a review community that builds trust and transparency between consumers and businesses. It is a one stop reviewing destination that provides the facility to view and review products around the globe. Addition to this,with your regular reviewing profile you get more credits that gradually create trustworthy environment for reviewer and business houses.
Need specific product's review for your favourite product?
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OADataSourceJDBC classes used for converting OA Object Queries to SQL, and returning JDBC resultsets for ORM.


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I'm a Front-End Web Developer based in Canberra
I enjoy working with a variety of front-end frameworks and libraries, focusing on simple and efficient web applications
I also enjoy Functional Programming and Backend Development


Project summary
Rebel CMS is a powerful and robust ASP.NET content management system.
Built from the ground up to cater for today's enterprise level needs, this open-source project is at the bleeding edge of web content management. Interested? Learn more


T
- The type of element contained in the PriorityQueueNode.public class PriorityQueueNode<T> extends java.lang.Object implements java.lang.Comparable<PriorityQueueNode<T>>
A PriorityQueueNode is a Comparable
type which is used to wrap around
the (data, priority) pairs in a PriorityQueue
. Its overriding of the
Comparable.compareTo(Object)
method allows the PriorityQueue
to disambiguate between
the same priority elements, thus establishing a strict natural ordering inside the data structure.
 If you do, you risk not passing our tests!
PriorityQueue
,
BoundedPriorityQueue
| Constructor and Description |
|---|
PriorityQueueNode()
Default constructor.
|
PriorityQueueNode(T data)
1-arg constructor.
|
PriorityQueueNode(T data,
double priority,
int insertionOrder)
3-arg constructor.
|
| Modifier and Type | Method and Description |
|---|---|
int |
compareTo(PriorityQueueNode<T> o) |
T |
getData()
Simple getter for contained data element.
|
double |
getPriority()
Simple getter for element's priority.
|
public PriorityQueueNode(T data, double priority, int insertionOrder)
data
- The element of type T held by the container.priority
- The element's priority, as provided by the caller. Smaller integers have higher priorities.insertionOrder
- The order that the element was inserted in, as provided by the caller. This parameter is important
because, in a PriorityQueue
, tie-breakers between elements with the same priority are
determined by their insertion order in the PriorityQueue
. It is the caller's responsibility
to ensure that this parameter is passed correctly.public PriorityQueueNode(T data)
data
- The element of type T held by the container.public PriorityQueueNode()
public int compareTo(PriorityQueueNode<T> o)
compareTo
in interface java.lang.Comparable<PriorityQueueNode<T>>
public T getData()
public double getPriority()


This Privacy Policy document contains types of information that is collected and recorded by frequencies.audio and how we use it.
If you have additional questions or require more information about our Privacy Policy, do not hesitate to contact us through email at<EMAIL_ADDRESS>Log Files
frequencies.audio follows a standard procedure of using log files. These files log visitors when they visit websites. The information collected by log files include Internet protocol (IP) addresses, browser type, Internet Service Provider (ISP), date and time stamp, referring/exit pages, and possibly the number of clicks. These are not linked to any information that is personally identifiable. The purpose of the information is for analyzing trends, administering the site, tracking users’ movement on the website, and gathering demographic information.
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A query along with the response will be cached for 30 days. This is to ensure efficiency of the application. There is no identifiable data stored inside the cache.
Privacy Policy
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|
Subor SDK API
0.9.3
|
#include <RuyiNetService.h>
Protected Member Functions | |
| RuyiNetService (RuyiNetClient *client) | |
| std::string | RunParentScript (int index, const std::string &scriptName, nlohmann::json payload) |
Protected Attributes | |
| RuyiNetClient * | mClient |
|
protected |
|
protected |
|
protected |


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A report from the course DA377B
S01
Did you before know about the techniques Git, GitHub, Markdown and/or GitHub Pages?
Im quite comfortable with Git and Github because we have used it for most of our projects. I myself dont really have problems with git but at times during our projects it did become troublesome. I have used built in frameworks
for most our projects though so its quite good that i am "forced" to use commands in git bash again. I had never heard of Markdown or github pages before and it would be nice if we make use of it.
Have you ever created websites before?
Only when i had a small course in it in upper secondary school. I did not particularly like it back then and i hope this course will change that. Other than that i have never continued devoloping anything web based.
Briefly explain your experience and knowledge of web application development.
Very little experience with html, css, javascript, php coming from courses in upper secondary school. I dont remember much of it since it didnt interest me back then. If it counts i have done a fair share of styling in android
development which uses a tree structure like html. I have a very broad interest of IT and development in general. I like both front and back end but of the two i probably enyoy back end more but there are alot of factors involved
so sometimes i might enyoy doign the front end more and vice verca.
What is your TIL for this course section?
Being able to test html through Github pages was a quite nice surprise. I had also never forked a repository before. So far i really like the way this course is setup with many mandatory tasks because otherwise i might have
become a bit lazy and not practise enough.
S02
Have you any previous experience of HTML, CSS and/or Javascript?
Very little experience during my time in upper secondary school. We had a weird sitution with the teacher where he suddenly couldnt work anymore so another teacher took over and basically told us to use https://www.codecademy.com/
to learn. It was super boring and is the main reason i have never had any interest in web devolopment. I dont know if its bad memory but i can barely recall anything of css. The things i know now mostly comes from styling in android
cause it is kinda similar. This course seem much more promising so far and i enyoy it quite a bit.
Explain the role of HTML, CSS and JavaScript in web development.
HTML acts as the structure where things are placed and how you can interact with the different parts. CSS acts as the appearance that decides how things should look. Every aspect of layout can be altered and controlled with
css, thus making the task easier for a web designer. Javascript acts as the functionality when and how things should behave. Its not necesary to use javascript to make a webpage so its only there to enable interactivty.
Give a brief explanation of how the browser, the HTTP protocol and the web server interacts.
The browser sends a request that is following the http protocol. The server retreives it and responds using the same protocol. Without a protocol there is no way to properly communicate. Languages are a great example of this.
Since i dont know italian i will have a problem communicating in italy but they might know of the protocol called english which then makes it easy.
What is your TIL for this course section?
Git again surprises me with the line cp -rvi example/report work/. It proves again and again that its a powerful tool to work with and im glad that i learn more how to use it to its potential.
S03
Do you have any previous experience of client side JavaScript?
Not what i can really remember. Its basically a new language for me and all prior experience with code comes from obejct oriented programming languages so i think that im kinda "locked" in my way of coding with objects and
strict types.
Can you compare and relate the JavaScript language to any other language you know?
Javascript not having strict types makes it hard for me. The other languages i am familier with (java, c++) are very similar to eachother so working with javascript is a really good exercise for me.
Describe how you worked with the coding exercise, what grade do you aim for and how did your code turn out to be?
I did it mostly step by step doing all of grade 3 before starting grade 4. Parsing the json data loaded was really hard at the start. First i was thinking "how do i get the program to know this object is a json?" Typical java/c++
thinking. It really amazed me that i could just write, in this case, "json.Skolenheter" to access the array of schools. From there on i could google most stuff i hade problems and also looking at some of your examples. I did aim
for grade 5 and time wasn't really an issue this week so it was no problem working towards it. I could probably put in more time in the last part of grade 5 but it seemed like a very subjective question so im not sure when the
work is done for that particular assignment. The website itself is trying to be a bit minimalistic but the movable duck really takes away that. I could always put in more time when styling the webpage but for me its not really
a big priority and i enyoy working with functionality more rather than styling the pages.
What is your TIL for this course section?
Many parts of javascript. The loose typing, how object are created and used. I really hoped that javascript would have call by reference on primitive types but that was sadly not possible. I could be just using it wrong or
used the wrong sentence when searching.
S04
Here is the text for this section.
S05
Here is the text for this section.
S06
Here is the text for this section.
S07
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S08
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S09
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S10
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--- title: 3rd & 4th Grade Summer Camps layout: default ---
Back to main Summer Camp page
Click the panels below for information about each camp.
Partner Camp with Tanner Dance
Get ready to explore the world of plants with Tanner Dance and Red Butte Garden! Spend your mornings at the Garden digging, planting, watering, and weeding your way through the plant kingdom as you learn what plants need to grow, plant your own patio container garden, and more. In the afternoon, you’ll work with Tanner Dance to learn more about plants and the connections they form through visual art, drama, and dance. You’ll end the week with a special dance performance at Tanner Dance showcasing all you’ve learned. Transportation between sites provided.
Drop off at Red Butte Garden by 9AM and pick up at Tanner Dance by 4PM
Click Here for Camp Overview
Red Butte Garden / Tanner Dance: 1721 Campus Center Drive, SLC, UT 84112
Members: $250, Public: $300
801-581-8454
Scholarships Available - CLICK HERE
Food lovers, unite! Get ready to explore the Garden with your taste buds as you practice essential kitchen skills like chopping, mixing, blending, and more. In addition to making daily snacks like Thai spring rolls, quesadillas, curry butter, and hummus, you’ll also harvest fresh ingredients from the Garden, decorate your own chef apron, and compile a camp cookbook.
Caregivers: If your camper loves to cook, consider signing him or her up for our new 3rd & 4th grade cooking camp, Science Chefs, August 7 – 11!
Click Here for Camp Overview
SOLD OUT! Click Below To Be Added to Waiting List
Red Butte Garden
Members: $120, Public: $150
801-581-8454
Scholarships Available - CLICK HERE
Calling all artists! Explore the world of art this week at camp as you paint, draw, and sculpt your way across the Garden. In addition to learning the basics of line, shape, color, and texture, you’ll also create stencil portraits, sculpt found object statues, paint a group mural, and more. End the week with a gallery stroll to showcase the incredible art you make.
Click Here for Camp Overview
Red Butte Garden / Tanner Dance: 1721 Campus Center Drive, SLC, UT 84112
Members: $120, Public: $150
801-581-8454
Partner Camp with Wasatch Community Gardens (WCG)
Get ready for an all-day adventure! Spend your mornings at RBG learning skills like map-reading, orienteering, and navigation before searching the Garden for hidden treasure. In the afternoon you’ll travel to WCG to learn to grow healthy, organic food that is good for both your body and the environment as you explore composting, organic gardening, and more. Transportation between sites provided.
Drop off at Red Butte Garden by 9AM and pick up at WCG by 4PM
Click Here for Camp Overview
Red Butte Garden / Wasatch Community Gardens 600 East 769 South Salt Lake City, UT 84102
Members: $250, Public: $300
801-581-8454
Scholarships Available - CLICK HERE
Calling all actors and actresses! Spend the week exploring drama, dance, visual arts, and more in this FULL-DAY theater camp. Throughout the week you’ll learn to act from a drama teacher, create props and backdrops with a stage craft instructor, and work with your fellow thespians to produce and star in a simple, one-act play. End the week with a live performance of your play in the Garden showcasing all you’ve learned.
Red Butte Garden
Members: $240, Public: $300
801-581-8454
Partner Camp with DGCM
Explore STEAM (science, technology, engineering, art, and math) with Discovery Gateway Children’s Museum and Red Butte Garden! Spend your mornings at RBG investigating STEAM in the natural world as you create parachutes for action figures, craft rafts out of recyclable materials to cross the creek, cook edible popcorn art, and more. In the afternoon, you’ll travel to Discovery Gateway to continue your STEAM explorations with experiments in the STEAM Lab, art in the Artspace for Kids Gallery, and excursions throughout the museum. Don’t miss out on this all-day adventure! Transportation provided.
Drop off at Red Butte Garden by 9AM and pick up at Discovery Gateway by 4PM
Click Here for Camp Overview
Additional Paperwork is needed for this Camp Click Here to print.
Red Butte Garden / Discovery Gateway
Members: $250, Public: $300
801-581-8454
Partner Camp with Wasatch Community Gardens (WCG)
Explore the magic of nature with WCG and Red Butte Garden! Spend your mornings at Red Butte discovering the mythical origins of common things found in the natural world like honeybees, purple asters, and birds as you create pinecone weather stations, concoct organic weed killer, build DIY birdfeeders, and more. In the afternoon, you’ll travel to WCG to explore the “supernatural” properties of plants as you create botanical potions and perform “magical” plant experiments. Transportation between sites provided.
Drop off at Red Butte Garden by 9AM and pick up at WCG by 4PM
Click Here for Camp Overview
Red Butte Garden / Wasatch Community Gardens, 600 E 800 S, Salt Lake City
Members: $250, Public: $300
801-581-8454
Scholarships Available - CLICK HERE
Although the Garden is located in Utah, it’s home to plants from around the world. Go on a globetrotting adventure this week at camp as you explore the traditions, games, foods, and plants of different countries from around the world. With stops in India, Japan, Kenya and more, you’re in for a world of fun!
Click Here for Camp Overview
Red Butte Garden
Members: $120, Public: $150
801-581-8454
Scholarships Available - CLICK HERE
The natural world is filled with magic, and you’ll learn all about it this week at camp. Each day you’ll explore a new mythological creature and discover the magical role it plays in helping the environment. Later, use what you’ve learned to create the perfect home for these magical creatures by combining basic garden design principles with small-scale plants and handcrafted accessories. At the end of the week you’ll have your own tiny world terrarium to take home.
Red Butte Garden
Members: $120, Public: $150
801-581-8454
Scholarships Available - CLICK HERE
The environment is in trouble, and it needs your help to get better! Discover how to make the world a better place through simple practices like recycling, composting, and water conservation, as you explore the Garden, make a recycled t-shirt tote bag, build a vermiculture bin, and more. End the week by racing through an obstacle course to test your newfound knowledge before you become a certified RBG Eco Ranger!
Click Here for Camp Overview
Red Butte Garden
Members: $96, Public: $120
801-581-8454
Scholarships Available - CLICK HERE
Did you know plants have “magical” properties? Explore the plant kingdom and discover the unique uses of several common (and not-so-common!) plants. From healing to textiles, you’ll investigate how people use plants around the world, and then create your own bevy of botanical potions, lotions, and charms like organic lip balm, insect repellant, beeswax candles, and more.
Click Here for Camp Overview
Red Butte Garden
Members: $96, Public: $120
801-581-8454
Scholarships Available - CLICK HERE
Become a culinary scientist this week at camp as you discover the science of cooking. In addition to practicing essential kitchen skills like chopping, mixing, and blending, you’ll also discover why onions make you cry, how bread rises, why fruit browns, and more. Throughout the week you’ll also harvest fresh ingredients from the Garden, decorate your own chef apron, and compile a camp cookbook.
Red Butte Garden
Members: $120, Public: $150
801-581-8454
* Short week due to Independence Day and Pioneer Day holidays.


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After losing my iPhone 4 (yes 4) charger @rbonales finally obtained a 5C. Much snappier. 📱✨💥
3/18/2014, 10:25:30 PM
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After losing my iPhone 4 (yes 4) charger @rbonales finally obtained a 5C. Much snappier. 📱✨💥
3/18/2014, 10:25:30 PM
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We are glad you want to contribute to DevSec! This document will help answer common questions you may have during your first contribution. This project is Apache 2 licensed. Every contribution must be under the Apache 2 License, too. For new files we have added a section with License Headers.
We utilize Github Issues for issue tracking and contributions. You can contribute in two ways:
We have a 3 step process for contributions:
Our projects are built to last. We strive to ensure high quality throughout the experience. In order to ensure this, we require that all pull requests to DevSec projects meet these specifications:
Code review takes place in Github pull requests. See this article if you’re not familiar with Github Pull Requests.
Once you open a pull request, project maintainers will review your code and respond to your pull request with any feedback they might have. The process at this point is as follows:
master
, we may require you to rebase your PR to the latest master
.CHANGELOG.md
.Licensing is very important to open source projects. It helps ensure the software continues to be available under the terms that the author desired.
DevSec uses the Apache 2.0 license to strike a balance between open contribution and allowing you to use the software however you would like to.
The license tells you what rights you have that are provided by the copyright holder. It is important that the contributor fully understands what rights they are licensing and agrees to them. Sometimes the copyright holder isn’t the contributor, such as when the contributor is doing work on behalf of a company.
To make a good faith effort to ensure these criteria are met, DevSec requires the Developer Certificate of Origin (DCO) process to be followed.
The DCO is an attestation attached to every contribution made by every developer. In the commit message of the contribution, the developer simply adds a Signed-off-by statement and thereby agrees to the DCO, which you can find below or at http://developercertificate.org/.
Developer's Certificate of Origin 1.1
By making a contribution to this project, I certify that:
(a) The contribution was created in whole or in part by me and I
have the right to submit it under the open source license
indicated in the file; or
(b) The contribution is based upon previous work that, to the
best of my knowledge, is covered under an appropriate open
source license and I have the right under that license to
submit that work with modifications, whether created in whole
or in part by me, under the same open source license (unless
I am permitted to submit under a different license), as
Indicated in the file; or
(c) The contribution was provided directly to me by some other
person who certified (a), (b) or (c) and I have not modified
it.
(d) I understand and agree that this project and the contribution
are public and that a record of the contribution (including
all personal information I submit with it, including my
sign-off) is maintained indefinitely and may be redistributed
consistent with this project or the open source license(s)
involved.
The DCO requires a sign-off message in the following format appear on each commit in the pull request:
Signed-off-by: Christoph Hartmann<EMAIL_ADDRESS>You have to use your real name (sorry, no pseudonyms or anonymous contributions.)
The DCO text can either be manually added to your commit body, or you can add either -s or –signoff to your usual git commit commands. If you forget to add the sign-off you can also amend a previous commit with the sign-off by running git commit –amend -s. If you’ve pushed your changes to Github already you’ll need to force push your branch after this with git push -f.
Below, replace “REPO” with the project that should be changed. Replace “USER” with your GitHub username.
See Mastering Issues for details
Fork the repository on GitHub.
HardeningFramework/REPO -> USER/REPO
You can replace REPO in your fork with a name for the repository that makes it unique, if required.
Clone the repository locally
git clone git@github.com:USER/REPO.git
Ensure the origin is your repository.
git config remote.origin.url git@github.com:USER/REPO.git
Add Hardening Framework REPOs as a remote named upstream
and track it
instead of your origin.
git remote add upstream git://github.com/hardening-io/REPO.git
git config branch.master.remote upstream
Make sure your master branch is updated.
git checkout master
git pull --rebase
Create a new branch for the ticket.
git checkout -b ISSUE-####
Make your changes and push the branch to your origin.
git push origin ISSUE-####
Reference the ISSUE in your Github Pull Request. We will review the issue and contribution as soon as possible.
In order to have your contribution accepted as quickly as possible, we have some requests for you. These make it easier to merge contributions without merge conflicts, and keep the scope on topic for a specific issue.
# encoding: utf-8
#
# Copyright 2018, DevSec Hardening Framework Team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
/* Copyright 2018 DevSec Hardening Framework Team
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
# Copyright 2018 DevSec Hardening Framework Team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
<!--
Copyright 2018 DevSec Hardening Framework Team
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
-->
We run several linting tools in our continuous integration pipeline. If you create a pull request the CI will kick in and run Rubocop for every project as well as Foodcritic for chef repos or puppet-lint for puppet repos. The tasks are provided as Rake Tasks ready to run an give feedback.
Here the example output of the chef-os-hardening project (kitchen-tasks stripped):
± bundle exec rake -T
rake acceptance # Alias for kitchen:all
rake foodcritic # Run foodcritic lint checks
rake integration # Run all tests except Kitchen (default task)
rake kitchen:all # Run all test instances
[ ... kitchen-tasks stripped ... ]
rake lint # Run linters
rake rubocop # Run Rubocop lint checks
rake run_all_linters # Run all linters: rubocop and foodcritic
rake spec # Run chefspec tests
rake test # Run all tests
The CI is configured to run the common task rake run_all_linters
in all the projects. Example of a successful run:
± bundle exec rake run_all_linters
Running RuboCop...
Inspecting 20 files
....................
20 files inspected, no offences detected
Running Foodcritic tests...
done.
± echo $?
0
The CI evaluates the return code of the task, which is 0
if no offences are found.
The task will fail fast. Meaning we run Rubocop first and the specific linter (if any) next. A failed run of rubocop looks like the following output:
± bundle exec rake run_all_linters
Running RuboCop...
Inspecting 20 files
....C...............
Offences:
recipes/default.rb:22:1: C: Extra blank line detected.
20 files inspected, 1 offence detected
RuboCop failed!
± echo $?
1
The exit code is 1
indicating that one of the linters involved found an offence. Following an example in a chef cookbook were rubocop is successful but foodcritic found an offence:
± bundle exec rake run_all_linters
Running RuboCop...
Inspecting 20 files
....................
20 files inspected, no offences detected
Running Foodcritic tests...
done.
FC019: Access node attributes in a consistent manner: /.../recipes/default.rb:29
rake aborted!
FC019: Access node attributes in a consistent manner: /.../recipes/default.rb:29
/.../.rvm/gems/ruby-2.1.1/gems/foodcritic-3.0.3/lib/foodcritic/rake_task.rb:33:in `block in define'
/.../.rvm/gems/ruby-2.1.1/bin/ruby_executable_hooks:15:in `eval'
/.../.rvm/gems/ruby-2.1.1/bin/ruby_executable_hooks:15:in `<main>'
Tasks: TOP => run_all_linters => foodcritic
(See full trace by running task with --trace)
± echo $?
1
Rubocop catches a lot of basic syntax infractions and provides ruby best practice advise like using double quotes for strings that do not interpolate Ruby variables, or using simple if/else statements when a one-line ternary operator would be sufficient. This helps enforcing a common style guide and avoiding time consuming best practice discussions in pull requests. Have a look at A community-driven Ruby coding style guide for further details.
Every project has a rake task to run rubocop as well as a task were all linters for the project are run, including rubocop:
± bundle exec rake -T|grep rubocop
rake rubocop # Run Rubocop lint checks
rake run_all_linters # Run all linters: rubocop and foodcritic
Rubocop honors the .rubocop.yml
file of the project.
Example successful run of rubocop:
± bundle exec rake rubocop
Running RuboCop...
Inspecting 6 files
......
6 files inspected, no offences detected
± echo $?
0
Foodcritic is a special linter for chef cookbooks. The rake task is configured to fail on any
violation. We, as a project, decided to use the single quoted string node attribute notation to honor FC019.
There are some edge cases were, upon discussion a violation is tolerated. This can be done with a special markup in the code itself. Following an example (taken from chef-ssh-hardening server.rb)
search('users', "#{field}:*").map do |v| # ~FC003 ignore footcritic violation
Chef::Log.info "ssh_server: installing ssh-keys for root access of user #{v['id']}"
v[field]
end.flatten
Here we acknowledge FC003 as this cookbook will always need search in order to work and we use solo-search in testing.
Every chef project has a rake task to run foodcritic as well as a task were all linters for the project are run, including rubocop:
± bundle exec rake -T |grep foodcritic
rake foodcritic # Run foodcritic lint checks
rake run_all_linters # Run all linters: rubocop and foodcritic
Example successful run of foodcritic
± bundle exec rake foodcritic
Running Foodcritic tests...
done.
± echo $?
0
Puppet-Lint is a special linter for puppet modules. The rake task is configured to fail on any
violation.
± bundle exec rake -T |grep puppet-lint
rake lint # Run puppet-lint / Check puppet manifests with puppet-lint
rake run_all_linters # Run all linters: rubocop and puppet-lint
We disabled some checks from puppet-lint
± grep Lint Rakefile
PuppetLint.configuration.send('disable_autoloader_layout')
PuppetLint.configuration.send('disable_80chars')
PuppetLint.configuration.send('disable_inherits_across_namespaces')
PuppetLint.configuration.fail_on_warnings = true
PuppetLint.configuration.ignore_paths = ['vendor/**/*.pp']
If everything is well the exit code is 0, and no further output is displayed:
± bundle exec rake lint
± echo $?
0
If there is an error or a warning you get some output and an exit code <> 0
± bundle exec rake lint
manifests/init.pp - WARNING: double quoted string containing no variables on line 10
rake aborted!
/.../.rvm/gems/ruby-2.1.1/gems/puppet-lint-0.3.2/lib/puppet-lint/tasks/puppet-lint.rb:25:in `block (2 levels) in initialize'
/.../.rvm/gems/ruby-2.1.1/gems/puppet-lint-0.3.2/lib/puppet-lint/tasks/puppet-lint.rb:13:in `block in initialize'
/.../.rvm/gems/ruby-2.1.1/bin/ruby_executable_hooks:15:in `eval'
/.../.rvm/gems/ruby-2.1.1/bin/ruby_executable_hooks:15:in `<main>'
Tasks: TOP => lint
(See full trace by running task with --trace)
± echo $?
1
Our release process has following steps:
Example of such announcement mail:
Subject: chef-os-hardening 3.2.1 is released
DevSec Hardening Framework project is releasing a new patch release of chef-os-hardening 3.2.1 today!
Fixed bugs:
• execute[update-pam] resource fails on Ubuntu 14.04 on Azure #237
• exec-shield incompatible with Oracle Linux UEK #234
Merged pull requests:
• Use full path for executing pam-auth-update #238 (sean-nixon)
• Do not apply exec-shield if running Oracle Linux with UEK - addresses #234 #235 (eyespies)
We are looking forward to get your feedback via our new mailing lists (https://dev-sec.io/community/).
Feel free to follow us on Twitter (https://twitter.com/devsecio) to stay updated.


http://benknowscode.wordpress.com/2013/04/09/mixing-jquery-ui-draggable-droppable-and-sortable-interaction-widgets/ http://bseth99.github.io/projects/jquery-ui/8-draggable-sortable-droppable.html


|
MC_HAMR
v0.01
Monte Carlo Simulation Software for Atomistic Models of Magnetic Materials for Heat Assisted Magnetic Recording
|
Weibull disordered circle/sphere particle. More...
#include <shape.hpp>
Public Member Functions | |
| weibull () | |
| Default constructor. More... | |
| weibull (shape_type &other) | |
| Copy constructor. More... | |
| weibull (double rin, double bin) | |
| Constructor defining a spherical particle with a disordered surface. More... | |
| weibull (double betain, double ain, double bin, double cin) | |
| Constructor defining an ellipsoid particle with a disordered surface. More... | |
| ~weibull () | |
| Default destructor. More... | |
| bool | check (std::vector< int > Is, int l_size) |
| Check whether a certain position falls within the particle. More... | |
| weibull & | operator= (shape_type &other) |
| Assignment operator. More... | |
| double | get_r0 () |
| Returns the characteristic size of a weibull particle. More... | |
| double | get_beta () |
| Returns the disorder parameter of a weibull particle. More... | |
| double | get_a () |
| Returns the x-axis radius of a weibull particle. More... | |
| double | get_b () |
| Returns the y-axis radius of a weibull particle. More... | |
| double | get_c () |
| Returns the z-axis radius of a weibull particle. More... | |
| Public Member Functions inherited from particle::shape_type | |
| shape_type () | |
| Default constructor. More... | |
| ~shape_type () | |
| Default destructor. More... | |
Weibull disordered circle/sphere particle.
|
inline |
Default constructor.
| particle::weibull::weibull | ( | shape_type & | other | ) |
Copy constructor.
| particle::weibull::weibull | ( | double | rin, |
| double | bin | ||
| ) |
Constructor defining a spherical particle with a disordered surface.
| rin | The average radius of the sphere. |
| bin | The disorder parameter. |
| particle::weibull::weibull | ( | double | betain, |
| double | ain, | ||
| double | bin, | ||
| double | cin | ||
| ) |
Constructor defining an ellipsoid particle with a disordered surface.
| betain | The disorder parameter. |
| ain | The x-axis size of the particle. |
| bin | The y-axis size of the particle. |
| cin | The z-axis size of the particle. |
|
inline |
Default destructor.
|
virtual |
Check whether a certain position falls within the particle.
| Is | The coordinates of the lattice site. |
| l_size | The total lattice size. |
Reimplemented from particle::shape_type.
|
inlinevirtual |
Returns the x-axis radius of a weibull particle.
Reimplemented from particle::shape_type.
|
inlinevirtual |
Returns the y-axis radius of a weibull particle.
Reimplemented from particle::shape_type.
|
inlinevirtual |
Returns the disorder parameter of a weibull particle.
Reimplemented from particle::shape_type.
|
inlinevirtual |
Returns the z-axis radius of a weibull particle.
Reimplemented from particle::shape_type.
|
inlinevirtual |
Returns the characteristic size of a weibull particle.
Reimplemented from particle::shape_type.
| weibull& particle::weibull::operator= | ( | shape_type & | other | ) |
Assignment operator.


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rplot.Rd
rplot
is created to generate rasterly
plot quickly but with base
plot design. It is convenient but lacks flexibility and rasterly is highly
recommended for a more versatile method.
rplot(x, y = NULL, ...) # S3 method for default rplot( x, y = NULL, ..., plot_width = 600, plot_height = 600, x_range = NULL, y_range = NULL, background = "white", reduction_func = NULL, layout = NULL, glyph = NULL )
| x, y | Coordinates x, y for the plot. |
|---|---|
| ... | Other |
| plot_width | Integer. The width of the image to plot; must be a positive integer. A higher value indicates a higher resolution. |
| plot_height | Integer. The height of the image to plot; must be a positive integer. A higher value indicates a higher resolution. |
| x_range | Vector of type numeric. The range of |
| y_range | Vector of type numeric. The range of |
| background | Character. The background color of the image to plot. |
| reduction_func | Function. A reduction function is used to aggregate data points into their pixel representations. Currently
supported reduction operators are |
| layout | Character. The method used to generate layouts for multiple images. The default is |
| glyph | Character. Currently, only "circle" and "square" are supported; as the |
rasterly
arguments are passed through via ...
. But some of them are noticeable.
size
: Size can be either a specified size (1, 2, 3, etc) or a mapping variable. Since rasterly
does not provide
point to point display, if the length of input size
is the same with the length of x
(or y
). It will be treated as
a mapping variable.
color
: Color can be either a color map vector or a mapping variable. If the length of color
is equal to the length of
x
(or y
). It will be treated as a mapping variable.
on
: On is always treated as a mapping variable.
if(requireNamespace("ggplot2")) { library(ggplot2) # `color` represents a variable here with(diamonds, rplot(x = carat, y = price, color = color) ) # `color` represents an actual color vector with(diamonds, rplot(x = carat, y = price, color = fire_map) ) }


PRICE OF GLORY A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): * 1/2
Carlos Ávila's PRICE OF GLORY is the answer for those who think that the problem with bad television is that the screen is too small. With schmaltz so thick that you could cut it with a knife, this sappy TV movie-of-the-week is set to open in your local multiplex and not your living room.
Nominally telling the story of "The Fighting Ortegas," the story is really about a father, Arturo Ortega (Jimmy Smits), who wants his three boys to succeed in the boxing world where he failed. Rushed along too quickly by an uncaring promoter, Arturo ended up working "on a crappy assembly line" rather than enjoying the fruits of a championship career.
Devoting his life to training his sons, he relinquishes the job of being their father in order to concentrate his energies on managing their careers. Each of the lads, Sonny (Jon Seda), Jimmy (Clifton Collins Jr.) and Johnny (Ernesto Hernández), turn into contenders.
When we first meet the brothers as young children, their father is already yelling at them and throwing them against lockers for not trying hard enough in their Silver Gloves competition. As they grow up, they will continue to take the abuse with remarkably little rebellion.
The attractive women in the story provide the supporting wallpaper. They smile a lot and say encouraging things to their men.
As the mildest of villains, Ron Perlman plays a slightly slimy but extremely successful boxing promoter named Nick Everson. Nick, who has the face of a large gargoyle, sports big sunglasses and smokes foot-long cigars.
The real delight of the movie, since it provides so many unintentional laughs, is Phil Berger's heavily-clichéd script. ("The only one that can beat you is you." "I want to talk to the man upstairs." "Do you think we've got a guarantee? Do you think any of us here have a guarantee?") Although I can't recall them ever saying, "be the best that you can be," I suspect it was in the script but was removed in the final editing.
The movie, unlike the recent, disastrous PLAY IT TO THE BONE, ends in a reasonably decent big match. The outcome is never in doubt, but at least it is filmed invitingly and edited lucidly. The ending of PRICE OF GLORY isn't exactly memorable, but, compared to the rest of the movie, it is the only winning sequence.
PRICE OF GLORY runs too long at 1:57. It is rated PG-13 for violence, language and brief drug content and would be acceptable for teenagers.
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