We will start this module with a quick look back at some earlier implementation techniques. This is partly to set the scene, and partly to explain the background of some later developments (which were initially controversial).
The control parts of computers prior to the mid 60s were constructed, essentially, of electronic components structured into logic gates. It was quickly discovered that building computers, especially the control logic, was complex and error-prone hence techniques were developed to further structure systems and reduce errors. Nevertheless, it was still difficult and complex, and errors were hard to fix.
In 1957 Maurice Wilkes1 proposed an alternative called `microprogramming'. At the time, it was highly impractical, but in 1964 IBM launched its 360 range, most of which used this microprogramming concept. Only the top of the range machine was not microprogrammed, because microprogramming could not deliver the required performance (traditional methods, for all their faults, were fast). The 360 series were highly significant machines in the 60s, and their influence on machine architicture design is still visible today, particularly in Intel 80x86 and Motorola 680x0 processors, whose instruction sets are essentially evolutions of the 360 original. In fact, IBM still produces mainframes today that use the same architecture.
Wilkes' idea was that each machine instruction was divided into a number of sub-instructions, or microinstructions. While a real instruction (we might say macroinstruction) might be something like `add the contents of registers A and B', a microinstruction might be something like `write out register A to bus Z', or `read data bus into register X' very basic actions that could be assembled to implement the actual instruction set of the machine. The set of microinstructions that made up a full instruction set was called the microprogram, or microcode.
The precise details of Wilkes' design are not important to us, but we note the following:
The idea is that each microinstruction will be divided up into two parts the control part, which controls the operation of the datapath (or data unit), and the address part, which is the address of the next microinstruction to be executed under certain conditions.
Consider figure 1.1. After executing a particular microinstruction, the next microinstruction to be executed is either that specified by the address field of the current microinstruction, or the next sequential microinstruction (as in a conventional machine language) depending on the value of the conditional inputs. In addition, when one sequence of microinstructions has finished, the next is determined by the contents of the machine instruction register.
In fact, the situation is usually slightly more complex than this there is usually a sequencing part to the microinstruction in addition to the control and address parts. The sequencing information is used, for example, to decide which of several conditional inputs is to be used to control branching. Usually we require unconditional branching as well, and also many microinstructions do not require branching at all.
Consequently the situation is slightly more complex than that shown in figure 1.1.
Further refinements are possible for example, some systems allow two addresses in the microinstruction, and use conditions to select between them, rather than selecting between one address and the next sequential address. Such systems are called two-address microinstruction controllers, or sequencers. Conversely, the type shown in figure 1.1 is a single-address controller. It is also common to find subroutines, usually somewhat rudimentary.
The format of the control part of a microinstruction allows us to classify microinstructions into horizontal and vertical. The datapath is controlled by a number of control signals, supplied by the controller. The question is, how do we map the required control signals onto the control word?
The simplest solution would be to assign each control signal a single bit in the control word see figure 1.2(a).
This is fully-horizontal microcode. It has the obvious disadvantage that not all control signals in the datapath will ever be activated simultaneously, thus requiring much wider microcode words than is necessary. Microcode words are commonly wide anyway of the order of 100 bits or more. If a datapath has many control signals, it could be very much wider with horizontal microcode.
However, it does have the advantages that many datapath signals can be activated simultaneously, thus maximising potential parallelism; and there is no extra hardware between controller and datapath, which could slow down the processor. Therefore, horizontal microcode is potentially fast.
In fully-vertical microcode, the control signals are fully-encoded in the control word that is, if for example a datapath had 16 control signals, these would be encoded as four bits: see figure 1.2(b).
This saves on the microcode memory needed, but removes any possibility for parallelism and adds a decoder between the controller and the datapath.
As well as delaying the signals, the decoder will consume some of the space/resources saved by reducing the size of the microcode memory. This is an example of a time-space tradeoff.
In practice, neither extreme is seen some degree of encoding of the datapath signals is always done, and some parallel operation is allowed.
In practice, not all possible parallel activities are useful; e.g. there is no point in writing more than one register to the same bus (i.e. performing more than one register read) at the same time.
Therefore, it makes sense to work out what useful combinations of parallel actions exist and allow these.
How can we design a microinstruction format to control the data unit? Each register needs two control signals to indicate reading and writing from/to the bus.
For example consider a simple, single bus implementation of a data unit in figure 1.3.
There are a total of 16 registers, but only one can write to the bus at any one time hence it makes sense to encode all the register read bits as a 4-bit word.
However, all the registers can read from the bus (register write) simultaneously so we could argue that these should be unencoded 16 bits.
However, this is a bit over the top, as we would hardly want to write the same value into all the registers at once.
We would look at the architecture, and see if the instruction set makes it reasonable to allow multiple register writes. Given the single bus implementation, in most cases we are unlikely to gain anything by allowing this. Hence in this case it makes sense to encode the read bits as well. This would allow us to simultaneously read and write to the bus, copying the contents of one register in a single step.
Microprogramming has been a massively successful solution to the problem of building controllers systematically, and was used (with minor modifications) in the vast majority of processors from the mid 1960s to the late 1980s.
However, it has now been more-or-less completely superseded for advanced processors. The reasons for the initial success and then the decline are partly technological and partly concerned with attitudes to software and hardware. While initially intended as a more managable means of building controllers, a number of other `advantages' become clear.
All through the 60s and 70s instruction sets became more and more sophisticated, culminating arguably in DEC's VAX series. Designers thought that by providing a rich, sophisticated instruction set they were making life easier for software engineers (particularly compiler writers). During the late 60s the software crisis the failure of software projects to deliver was a major issue, and the reasons behind it were not initially well understood. (Software projects still often do not deliver, but at least the community knows why even if those directly involved do not.) One thing that was clear however was that it was not possible to keep on writing low-level code and meet demand widespread use of high-level languages was necessary and (many) compilers were not all that good. Designers of instruction sets thought they were being helpful by trying to bridge the so-called semantic gap between low- and high-level languages. They did this by trying to provide relatively `high-level' instruction sets.
However, starting in the early 80s, doubts crept in:
There were always people with doubts about the appropriateness of high-level instruction sets, but by the early 80s the influence of those who thought complex instruction sets were bad was growing. Their general view was that high-level instruction sets were providing solutions when they should have been providing tools or primitives. That is, they were saying to compiler writers: You have this problem to do with generating code, and we've solved it for you with this instruction. This led to the problems listed above. Instead of solutions, the doubters said, they should have been concentrating on basic building-blocks (tools) that compiler writes could use to build their own solutions, more closely matched to their specific problems.
A review of the actual behaviour of programs, the needs of compiler writers, and improvements in compiler technology all helped to boost the RISC movement (chapter 2). This was further promoted by the growing use of pipelining (chapter 4) and superscalar implementations (chapter 7) which, as we shall see, are much better suited to conceptually simpler instruction sets where all the instructions are the same length and take the same amount of time to execute. Furthermore, the very nature of modern pipelined processors is that they consist of multiple, parallel stages, each with its own relatively-independent and simple control logic which are not well-suited to microprogramming.
We will look at the issues surrounding the rise of RISCs in the next chapter.


Singer Chinmayi Sripaada Lashes Out At Misogynist Mentality; Suggests Of Imposing A Curfew On Guys
Just a while ago, the singer took a dig at a section of the society who holds a girl responsible for the crimes like rape, in a series of tweets.
by Koimoi.com TeamSinger Chinmayi Sripaada is one of those celebrities, who are vocal about their opinions when it comes to taking a stand for women empowerment. She is quite active through her social media accounts and her Twitter timeline is always flooded with the posts, standing against the injustice against women.
Just a while ago, the singer took a dig at a section of the society who holds a girl responsible for the crimes like rape, in a series of tweets.
Here’s what she tweeted:
Recently, she took to Twitter and criticised a man for making fun of a woman who was accused of indecency and asked to wear a shawl by a Swiggy delivery boy.
The woman from Tamil Nadu experienced a social backlash on social media after delivery boy tweeted about her appearing before him in an unpresentable manner.
Narrating the incident on social media, the woman said the delivery boy turned up at the door with food and told her to wear a shawl in her own house.
The woman tagged Swiggy and wrote: “@swiggy_in can your employees mind their own business?  Why does it matter? Do we have to teach manners to them?”
Sripaada came out in support and wrote from her Instagram handle: “Men who need to stare at women’s breasts…Doesn’t look like they got weaned from breastfeeding properly.”


Knight and Day Technologies is a full-service technology consulting company.
We aim to disrupt our clients’ paradigms, identify and remove ineffective practices, and replace these with effective technology-based solutions.
We deliver the best for our clients!
We help our clients achieve their goals. We do so by using the most effective technology to abstract complexity. This gives our clients time to focus on their organizations’ operational and strategic goals.
We understnd that our clients are not all software developers and that our software development clients are not all business people.
Through our expertise, we provide the technological skills needed to support non-software-based businesses and the business acumen needed by technology companies.
Ideation - Startup Organization Planning & Funding - Legal & Regulatory Issues - Commercial & Competitive Environment - Management, Resources, & Processes, Design & Planning - Financing & Accounting - Market & Marketing - Human Resources - Growth & Scalability
CloseOff-the-Shelf vs. Custom - Build-Your-Own - Systems Integration - Safety & Security - Migration & Integration Planning & Implementation - DataBase Design - REST APIs - Infrastructure Issues - Cloud Migration Planning & Execution
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Close ProjectInternet of Things Eco Structure - Image Search - Optical Character Recognition (OCR)
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"Dude, suckin' at something is the first step at being sorta good at something."
- Jake (Adventure Time)",
"We can only see a short distance ahead, but we can see plenty that needs to be done." -Alan Turing",
"No computer is ever going to ask a new, reasonable question. It takes trained people to do that." -Grace Hopper",
"Logic will get you from A to B. Imagination will take you everywhere." –Albert Einstein",
"Paying attention to simple little things that most men neglect makes a few men rich." –Henry Ford",
"No act of kindness, no matter how small, is ever wasted." –Aesop",
"The most important thing about a technology is how it changes people." -Jaron Lanier",
"Computers are like Old Testament gods; lots of rules and no mercy." -Joseph Campbell",
"R2-D2, you know better than to trust a strange computer." -C3P0",
"Technology is making the world more unequal. Only technology can fix this." -Cory Doctorow",
"Our greatest weakness lies in giving up. The most certain way to succeed is always to try just one more time."- Thomas A. Edison",
"Never give up, for that is just the place and time that the tide will turn."- Harriet Beecher Stowe",
"Computer Science is the operating system for all innovation.\" -Steve Ballmer",
"A goal is a dream with a deadline.\" – Napoleon Hill",
"Paying attention to simple little things that most men neglect makes a few men rich.\" –Henry Ford",
"Action is the foundational key to all success.\" -Pablo Picasso",
"No act of kindness, no matter how small, is ever wasted.\" –Aesop",
"If you always put limit on everything you do, physical or anything else. It will spread into your work and into your life. There are no limits. There are only plateaus, and you must not stay there, you must go beyond them.\"- Bruce Lee",


It was 2018, the third annual Service Design Hong Kong conference (now renamed re:MAKE Asia) I've been involved with. The theme was Human Futures in Smart Cities.
As smart cities become increasingly connected and data-driven, they become more automated and involve less human interactions, which begs the question of how humans can play a role in the wake of these developments.
As designers, how might we design for everyday experiences and still retain the human touch?
I was invited to facilitate one of the workshops for conference attendees to better understand service design, its approach and applications.
I took the opportunity to turn the workshop into a game. Creating a card game from scratch, I decided to focus on one of the most important daily interactions - payment experiences.
With both design practitioners and non-designers attending the conference, the room had varying levels of understanding for design.
For beginners, there's no use throwing them double-diamond diagrams and theories without practical applications. For designers, I wanted them to have fun instead of sit through another 'Intro to Design Thinking'.
I designed for gamification before but game design was slightly different. The one thing they do have in common, however, is game elements.
Players, goals and rules.
Players are easy - the workshop attendees.
The goal is to help them understand the value and applications of the design process. The outcome of each stage is to learn a new tool and for players to produce their own design artefacts.
The rules are bounded by the design process. The cards are laid out in 4 separate decks by color. At different stages of the design process, the players will draw the relevant cards, which I call prompts.
Prompts are not designed to be constraints, but rather a way to help narrow the scope and focus on the challenge at hand. The last 3 prompts are optional, so to avoid stressing workshop attendees out if they had other ideas in mind.
I had a lot of fun writing this set.
'Scenarios' is drawn at the start and helps set the scene.
Our payment experiences are usually contextual to the places we go to. The frustrations that arise are only within that moment - fumbling with coins on a cab or when the machine reader doesn't recognize my Apple Pay when buying coffee.
To add to the fun, I localized the scenarios specifically to the city of the conference, Hong Kong.
For example, Cha chaan teng is a very local and common place Hong Kong people go to for food. It has a special place in the local culture but also one of the most challenging spaces in terms of digitization. Cha chan tengs are slow to adopt and still only take cash.
This ideation led me to the common frustrations users face when making payments, or what I called User Resistance.
Using these as prompts, the workshop attendees were able to include these in their empathy map and current state journey map for the 'Scenario' they chose.
These discussions led to the problem space next.
If you're a designer, you know that crafting a good and succinct HMW statement is not easy. It's helpful to provide prompts to help players frame their problem statements. Not too broad, but not too specific.
I looked at common payment trends that are driving the payments industry and our consumer experiences today. These became the Trends card.
The best prompt of them all. This is the time for players to drum up their wildest ideas without constraints. I encouraged workshop attendees to stand up and role-play their possible solutions.
At this stage, players can use the Interactions prompts to help them think outside the box.
I wrote up both digital and physical interactions to push the envelope. With just paper, pen and cardboard, they can prototype the world. In fact, I once had a team prototype a VR experience by simply sticking post-its on their glasses to replicate the VR glasses.
My first challenge was covering everything in a 2-hour workshop. I had to pick and choose what design tools to surface without overwhelming conference attendees, especially for non-designers.
For example, with little time to explain personas, I introduced the User Resistance prompts to help them quickly build a profile without developing a fully fleshed out Persona.
My second challenge was designing for two different types of audiences - design practitioners and non-designers. I needed to balance their needs without it being too introductory for designers and too abstract for non-designers.
With a little creative writing, I was able to make the Scenarios slightly unfamiliar and challenging, but also relevant for both groups. The designers also took on the opportunity to mentor non-designers throughout the game, which was absolutely great to see.
Check out more portfolio stories:


Implementation of containers and utilities for all the standard Java attribute types.
PACKAGES USED:
com.duy.dx.cf.iface
com.duy.dx.rop.pool
com.duy.dx.util


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@(player: Player) @import tags.gravatar @main("Sportler") { @player.name @player.getEmail Dashboard Profile Players Teams Seasons Games


background-color: #006DAE class: middle center hide-slide-number
  These slides are viewed best by Chrome and occasionally need to be refreshed if elements did not load properly. See here for PDF .

 .white[Press the **right arrow** to progress to the next slide!] --- background-image: url(images/bg-week10.jpg) background-size: cover class: hide-slide-number split-70 title-slide count: false .column.shade_black[.content[
 # .monash-blue.outline-text[ETC5512: Wild Caught Data]
Week 10

US flights and databases
 .bottom_abs.width100[ Lecturer: *Dianne Cook* Department of Econometrics and Business Statistics

<EMAIL_ADDRESS>
 ] ]]

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 .footnote[Image source: https://commons.wikimedia.org/wiki/File:Another_Airplane!_(4676723312).jpg] --- # Motivation American Statistical Association Statistical Graphics and Computing Sections [2009 Data Expo](https://community.amstat.org/jointscsg-section/dataexpo/new-item6) provided all of the commercial flight records for airtravel in the USA from October 1987 to April 2008.  --- Questions provided - When is the best time of day/day of week/time of year to fly to minimise delays? -- - Do older planes suffer more delays? -- - How does the number of people flying between different locations change over time? -- - How well does weather predict plane delays? -- - Can you detect cascading failures as delays in one airport create delays in others? Are there critical links in the system? --

 but participants could also decide for themselves what to analyse. -- --- .grid2[ .item[ # About the data ] .item[ * nearly 120 million records * 1.6 gigabytes of space compressed * 12 gigabytes when uncompressed
 Organisers provided instructions on how to set up an .monash-orange2[**sqlite database**], and access from R. ] ] --- # Read about accessing databases from R at This RStudio site https://db.rstudio.com/databases/sqlite/ is a good starting place to read about working with a sqlite database. --- # The original data source .grid[ .item[   ] .item[

 * You can find the most current data at https://www.transtats.bts.gov/DataIndex.asp * Look at the "On-Time Performance 1987-present" table.

 * You can download data a month at a time * Its about a month lag in records * Explanations of the variables ] ] --- # Accessing the data - Data expo files: the data for the competition is [still available](https://community.amstat.org/jointscsg-section/dataexpo/new-item6) 🤸 - Navigating the [BTS web interface](https://www.transtats.bts.gov/DataIndex.asp) - What data is available - How do you download - Explanations of the records and variables - R package NYCflight13: provides a small domesticated data set.🐨 This is a good way to *dip your toes in the water* with the airline data - try this if working with the full data is too scary. --- class: motivator # What did others do? First prize 🏆  .footnote[Rick Wicklin, Robert Allison] --- layout: true class: shuriken-300 white .blade1.bg-red.content.center[ # Overview Its good practice to show a useful view of entire data, to get a rough sense of major patterns. ]] .blade2.bg-green[.content.vertical-rl.center[ # Temporal trend A major component of this data is traffic patterns over time. ]] .blade3.bg-deep-purple[.content.center[ # Spatial pattern Airports are distributed across the country, explore how the traffic operates relative to this geography ]] .blade4.bg-orange[.content.vmiddle[ # Carriers Are some carriers operating more widely, or more efficiently? ]] .hole.bg-black[.content.center.vmiddle[ {{content}} ]] --- class: hide-blade2 hide-blade3 hide-blade4 hide-hole --- class: hide-blade3 hide-blade4 hide-hole count: false --- class: hide-blade4 hide-hole count: false --- count: false # Highlights --- layout: false # Overview  --- # Overview  --- # Overview  --- class: refresher # Think about it 🤔 .orange[Delay] was used in providing an overview. - What other aggregates could have been used? - Why was delay chosen?
00
:
32
--- # Temporal trend  --- # Temporal trend  --- # Spatial  --- # Carrier  --- # Highlights  --- class: motivator # What did others do? Second prize 🏅  .footnote[[Hofmann, Cook, Kielion, Schloerke, Hobbs, Loy, Mosley, Rockoff, Sun, Wrolstad, Yin](https://amstat.tandfonline.com/doi/abs/10.1198/jcgs.2011.3de#.XsbqbS97G61)] --- # Analysis overview - Traffic patterns over time - Delays - Ghost flights - Mapping traffic --- # Traffic patterns over time  .font_small[Number of flights in millions per year: steadily increasing volume until 2001, with a big drop in 2002. Volume recovered in 2003, and flattens 2004-7, with another drop in 2008. What happened in 2001? What was happening in 2008?] --- # Traffic patterns at selected airports  --- # Delays  --- # Delays, by year  --- # Delays, by carrier  --- # Delays, by airport  --- # Delays, by day  --- # Fuel use by carrier  --- # Fuel efficiency  --- # Ghost flights  --- # Ghost flights, wasted fuel  --- # What tools were used and why A subset of the analysis materials including data and code can be downloaded from the [paper site](https://amstat.tandfonline.com/doi/suppl/10.1198/jcgs.2011.3de?scroll=top) - sqlite database: Inspired by the guidelines provided by the organisers we created a `mysql` database, on a central server that all team members could access with a password. Each person accessed the data through R. - R packages: `RMySQL`, `DBI`, `ggplot2` --- # A brief introduction to working with databases Working from these notes https://db.rstudio.com/databases/sqlite/

 Why should I use a database? - The data is too large to load into memory, ie work directly with it in R - Database can make more efficient calculations - Only load the data needed for specific analysis tasks --- # Connecting to an existing database The packages `DBI`, `RMySQL`, `RPostgreSQL`, `RSQLite`, `bigrquery`, `odbc` enable connection to many different types of databases. The package `dbplyr` enables tidy style access to the databases.   --- # Set up connection Download the [supplementary material](https://www.tandfonline.com/doi/abs/10.1198/jcgs.2011.3de) for Hofmann et al (2012) and you will find: .font_smaller[ ```r library(RMySQL) m <- dbDriver("MySQL") co <- dbConnect(m, user="2009Expo", * password="R R0cks", port=3306, dbname="data_expo_2009", host="headnode.stat.iastate.edu") ``` ]
Stop, read the Securing Credentials documentation
--- # SQL .font_smaller[ ```r *dtime <- dbGetQuery(co, "select Year, *avg(CRSArrTime), avg(ArrTime), *count(*) as count,avg(ArrDelay) from *ontime group by Year, (CRSArrTime div 100)") qplot(`avg(CRSArrTime)`, `avg(ArrDelay)`, geom="point", data=subset(dtime, Year > 1998), xlab="Scheduled Arrival", ylab="Average Arrival Delay (in mins)") + facet_wrap(facets=~Year, ncol=5) + geom_hline(yintercept=c(0,15)) ``` ] --- # Set up connection, using SQLite ```r # Set up connection library(DBI) library(RSQLite) *con <- dbConnect(RSQLite::SQLite(), ":flights:") ``` This creates the link between R and the database. --- # Suppose we want to set up a database One month of air traffic data is quite manageable in an R session. We can use this to get started. To populate our SQLite database with airlines data, you need .font_smaller[ ```r copy_to(con, d, "flights", temporary = FALSE, indexes = list( c("FlightDate", "Reporting_Airline", "Tail_Number", "Origin", "Dest" ) )) ``` ] Setting up the indexes makes it faster to process data on the database. --- Alternative approach using DBI database functions .font_smaller[ ```r dbWriteTable(con, "flights", d) dbListTables(con) ``` ] and check it .font_smaller[ ```r flights_db <- tbl(con, "flights") flights_db ``` ] --- .font_smaller[ ```r feb1 <- flights_db %>% filter(DayofMonth==1) %>% select(DayofMonth, Origin, Dest) %>% * collect() feb1 ``` ] or with SQL .font_smaller[ ```r dbListFields(con, "flights") res <- dbSendQuery(con, "SELECT * FROM flights WHERE DayofMonth=1") firstday <- dbFetch(res) ``` ] --- # Add a table on airport details Information about airport location and details is found in a different table at the BTS site: https://www.transtats.bts.gov/Fields.asp?Table_ID=288 . We will download this and add to our database to use for plotting flights on a map. .font_smaller[ ```r airports <- read_csv("data/402312038_T_MASTER_CORD.csv") %>% select(-X29) copy_to(con, airports, "airports", temporary = FALSE ) dbListTables(con) ``` ] --- # Its easy to forget what variables are in the table You can check this with .font_smaller[ ```r dbListFields(con, "airports") ``` ] --- # Make a map of flights for Feb 1 .font_smaller[ ```r airport_locations <- tbl(con, "airports") %>% filter(AIRPORT_IS_LATEST == 1, AIRPORT_COUNTRY_CODE_ISO == "US") %>% select(AIRPORT, DISPLAY_AIRPORT_NAME, LONGITUDE, LATITUDE) %>% * collect() feb1_flights <- feb1 %>% left_join(airport_locations, by=c("Origin" = "AIRPORT")) %>% rename(Origin_lon = LONGITUDE, Origin_lat = LATITUDE, Origin_name = DISPLAY_AIRPORT_NAME) %>% left_join(airport_locations, by=c("Dest" = "AIRPORT")) %>% rename(Dest_lon = LONGITUDE, Dest_lat = LATITUDE, Dest_name = DISPLAY_AIRPORT_NAME) ``` ] --- .font_smaller[ ```r library(ggmap) usa_bbox <- c(-130, # min long 20, # min lat -60, # max long 50) # max lat usa_map <- get_map(location = usa_bbox, source = "osm") ggmap(usa_map) ``` ] --- .font_smaller[ ```r library(ggthemes) ggmap(usa_map) + geom_segment(data=feb1_flights, aes(x=Origin_lon, xend=Dest_lon, y=Origin_lat, yend=Dest_lat), colour="#9651A0", alpha=0.01) + geom_point(data=feb1_flights, aes(x=Origin_lon, Origin_lat), colour="#746FB2", alpha=0.1, size=1) + theme_map() ``` ] ---  --- # Animating flights for one day
Data Visualization and Statistical Graphics in Big Data Analysis: Video 1 from Annual Reviews on Vimeo.
 [Code is here](https://github.com/tidyverse/ggplot2/wiki/Flying-over-the-usa) --- background-image: url(images/bg-week10.jpg) background-size: cover class: hide-slide-number split-70 count: false .column.shade_black[.content[

 # That's it!

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. .bottom_abs.width100[ Lecturer: Dianne Cook Department of Econometrics and Business Statistics

<EMAIL_ADDRESS>] ]]

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Course materials and slides taught by Liz Shaw for Girl Develop It, Women Who Code, and others.
This beginner-level course takes you from a blank page to a functioning website, including writing valid HTML, adding links and images, applying CSS styles, and positioning elements.
This 8-hour class covers HTML5 and CSS3, and includes standard development practices like using a reset stylesheet, fixed navigation menus, hero images, SVG graphics, web fonts, animations, and responsive development.
This course will help you reformat current ES5 JavaScript code to its nice new ES6 format and get you up and running using ES6 in practical situations. We'll also wave 'bye' to for loops and start coding more efficiently!
What is ES6 and why would I want to use it? Let's cut to the chase with this 2-hour ES6 primer! You'll see what all the fuss is about by transforming ES5 code to its much more elegant ES6 counterpart, work through activities with your peers, and be able to ask questions along the way.


Preparation time
30 mins to 1 hour
Cooking time
30 mins to 1 hour
Serves
Serves 4
Dietary
To make the jam base for the soufflé, blend the strawberries and 100g/4oz of the sugar in a blender or food processor to a pureé. Rub through a fine sieve into a heavy-bottomed pan. Scrape in the vanilla seeds from the pod. Bring to the boil over a medium heat, whisking continuously. Stir the cornflour with about four tablespoons of water just to slacken, then whisk into the strawberry pureé until the mixture thickens. Cool, then chill.
Brush the insides of four soufflé dishes that are 9cm/3½in diameter and 6cm/2½in deep with softened butter, then dust with caster sugar. Chill.
To make the sorbet, dissolve the 100g/4oz sugar in the boiling water, then simmer for two minutes to make a sugar syrup. Cool. In a blender or food processor, blend the strawberries with the syrup to a pureé, and rub through a fine sieve into a bowl. Cool, then chill. Place in an ice cream maker and churn for 15-20 minutes to a soft scoop texture. Scoop out four neat scoops and freeze on a plate. (The rest of the sorbet can be kept in the freezer for two weeks.)
To make the shortbread, beat the butter and icing sugar together, then gently mix in the flour and salt to make a dough. Roll into a cylinder about 5-6cm/2-2½in in diameter, wrap in cling film and chill in the fridge for at least two hours.
Preheat the oven to 200C/390F/Gas 6. Cut the chilled dough into 5mm/¼in thick slices (12-14 slices) and place on a baking sheet. Bake for 10-12 minutes or until golden around the edges. Slide onto a wire rack to cool and crisp. Leave the oven on.
To finish the soufflé, whisk the egg whites with the remaining 50g/2oz caster sugar to soft peaks. Fold into the soufflé jam base. Divide the mixture among the four dishes, filling them to the top, then level with the back of a knife. Bake for 9-11 minutes or until risen above the rim by half.
Remove from the oven and immediately dust the tops with icing sugar. Set each soufflé on a large plate. Put a frozen scoop of sorbet and a piece of shortbread to the side. Serve at once.


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S9-UP
SH8-LL
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Module: ActionView::RecordIdentifier
| Relationships & Source Files | |
| Extension / Inclusion / Inheritance Descendants | |
|
Included In:
| |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
ModelNaming,
self
|
|
|
Instance Chain:
self,
ModelNaming
|
|
| Defined in: | actionview/lib/action_view/record_identifier.rb |
Overview
The record identifier encapsulates a number of naming conventions for dealing with records, like Active Records or pretty much any other model type that has an id. These patterns are then used to try elevate the view actions to a higher logical level.
# routes
resources :posts
# view
<%= div_for(post) do %> <div id="post_45" class="post">
<%= post.body %> What a wonderful world!
<% end %> </div>
# controller
def update
post = Post.find(params[:id])
post.update(params[:post])
redirect_to(post) # Calls polymorphic_url(post) which in turn calls post_url(post)
end
As the example above shows, you can stop caring to a large extent what the actual id of the post is. You just know that one is being assigned and that the subsequent calls in redirect_to expect that same naming convention and allows you to write less code if you follow it.
Constant Summary
-
JOIN =
# File 'actionview/lib/action_view/record_identifier.rb', line 34'_'.freeze
-
NEW =
# File 'actionview/lib/action_view/record_identifier.rb', line 35'new'.freeze
Class Method Summary
ModelNaming - Extended
| convert_to_model | Converts the given object to an ::ActiveModel compliant one. |
| model_name_from_record_or_class |
Instance Method Summary
-
#dom_class(record_or_class, prefix = nil)
The DOM class convention is to use the singular form of an object or class.
-
#dom_id(record, prefix = nil)
The DOM id convention is to use the singular form of an object or class with the id following an underscore.
ModelNaming - Included
| #convert_to_model | Converts the given object to an ::ActiveModel compliant one. |
| #model_name_from_record_or_class |
Instance Method Details
#dom_class(record_or_class, prefix = nil)
The DOM class convention is to use the singular form of an object or class.
dom_class(post) # => "post"
dom_class(Person) # => "person"
If you need to address multiple instances of the same class in the same view, you can prefix the dom_class:
dom_class(post, :edit) # => "edit_post"
dom_class(Person, :edit) # => "edit_person"
# File 'actionview/lib/action_view/record_identifier.rb', line 46
def dom_class(record_or_class, prefix = nil) singular = model_name_from_record_or_class(record_or_class).param_key prefix ? "#{prefix}#{JOIN}#{singular}" : singular end
#dom_id(record, prefix = nil)
The DOM id convention is to use the singular form of an object or class with the id following an underscore. If no id is found, prefix with “new_” instead.
dom_id(Post.find(45)) # => "post_45"
dom_id(Post.new) # => "new_post"
If you need to address multiple instances of the same class in the same view, you can prefix the dom_id:
dom_id(Post.find(45), :edit) # => "edit_post_45"
dom_id(Post.new, :custom) # => "custom_post"


SecurePassOptions to configure work settings of Argon2ID.
Length of the Password Hash output buffer.
Length of the secret Key buffer returned by generateOneTimeAuth and generateOneTimeAuthCode.
Length of the Mac buffer returned by generateOneTimeAuth.
Default Memory Limit. 64MB.
Interactive Memory Limit. 64MB. This value is the same as MemLimitDefault. This memory limit is recommended for interactive "online" applications, when combined with OpsLimitInteractive, this option requires 64 MiB of dedicated RAM and provides a baseline configuration for web app security. Choosing a higher value such as MemLimitModerate, MemLimitSensitive or a custom value may improve security.
The Maximum Allowed Memory Limit. 4TB.
The Minimum Allowed Memory Limit. 8KB.
Moderate Memory Limit. 256MB. This memory limit, combined with OpsLimitModerate provides a good performance and security baseline for applications that require higher security than the default/interactive preset. Use of this option requires a minimum of 256 MiB of dedicated RAM.
Sensitive Memory Limit. 1GB. This memory limit, combined with OpsLimitSensitive, is recommended for highly sensitive data and non-interactive operations. Use of this option requires a minimum of 1024 MiB of dedicated RAM.
Default Operations Limit. 2 Operations.
Interactive Operations Limit. 2 Operations.This value is the same as OpsLimitDefault. This operations limit is recommended for interactive "online" applications, when combined with MemLimitInteractive, this option provides a baseline configuration for web app security. Choosing a higher value such as MemLimitModerate, MemLimitSensitive or a custom value may improve security.
The Maximum Allowed Operations Limit.<PHONE_NUMBER> Operations.
The Minimum Allowed Operations Limit. 1 Operation.
Moderate Operations Limit. 3 Operations. This operations limit, combined with MemLimitModerate provides a good performance and security baseline for applications that require higher security than the default/interactive preset. Using this options takes around 0.7 seconds to derrive a hash on a 2.8Ghz Core i7 CPU.
Sensitive Operations Limit. 4 Operations. This memory limit, combined with OpsLimitSensitive, is recommended for highly sensitive data and non-interactive operations. Using this option it takes around 3.5 seconds to derrive a hash on a 2.8Ghz Core i7 CPU.
Maxium Length for the Password input buffer.
Minimum Length for the Password input buffer.
Length of the Salt buffer.
Returns the currently configured Memory Limit.
Sets the Memory Limit to the new value provided.
The new Memory Limit.
Returns the currently configured Operations Limit.
Sets the Operations Limit to the new value provided.
Takes the provided password and returns the derived Argon2ID hash.
The password to be hashed.
Takes the provided password and returns the derived Argon2ID hash.
The password to be hashed.
Takes the provided password and the hash buffer and returns the result of the verification as an enumeration value.
The password to be verified.
The hash to be verified against.
Takes the provided password and the hash buffer and returns the result of the verification as an enumeration value.
The password to be verified.
The hash to be verified against.
Generates a random key, and then uses that key and the supplied message, to generate a one time authentication mac.
The message to be used as the base of the one time authentication key.
Generates a random key, and then uses that key and the supplied message, to generate a one time authentication code.
The message to be used as the base of the one time authentication code.
Tests a VerificationResult enumeration and returns true if the value is Invalid.
The VerificationResult to Test.
Tests a VerificationResult enumeration and returns true if the value is InvalidOrUnrecognized.
The VerificationResult to Test.
Tests a VerificationResult enumeration and returns true if the value is Valid.
The VerificationResult to Test.
Tests a VerificationResult enumeration and returns true if the value is ValidNeedsRehash.
The VerificationResult to Test.
Verifys the authenticity of the mac using the supplied message and, the key returned when generating the mac.
The authentication mac generated by generateOneTimeAuth.
The original message used to generate the mac.
The authentication key generated by generateOneTimeAuth.
Verifys the authenticity of the supplied authentication code using the key returned when generating the code.
The one time authentication code generated by generateOneTimeAuthCode.
The authentication key generated by generateOneTimeAuthCode.
Generated using TypeDoc
Create a new instance of SecurePass to hash passwords, verify passwords, generate one time reset tokens and verify one time reset tokens.


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java.lang.Object edu.cmu.sphinx.frontend.BaseDataProcessor edu.cmu.sphinx.frontend.endpoint.NonSpeechDataFilter
Given a sequence of Data, filters out the non-speech regions.
The sequence of Data should have the speech and non-speech regions
marked out by the SpeechStartSignal and SpeechEndSignal, using
the SpeechMarker
. Such a sequence of Data
for an utterance should look like one of the following two:
Case 1: Only one speech region
In the first case, the data stream has only one speech region:
Figure 1: A data stream with only one speech region.
After filtering, the non-speech regions are removed, and becomes:
Figure 2: A data stream with only on speech region
after filtering.
Case 2: Multiple speech regions
We will use the example of a data stream with two speech regions to illustrate the case of a data stream with multiple speech regions:
Figure 3: A data stream with two speech regions.
This case is more complicated than one speech region. The property mergeSpeechSegments is very important in controlling the behavior of this filter. This property determines whether individual speech regions (and the non-speech regions between them) in an utterance should be merged into one big region, or whether the individual speech regions should be converted into individual utterances. If mergeSpeechSegments is set to true (the default), all the Data from the first SpeechStartSignal to the last SpeechEndSignal will be considered as one Utterance, and enclosed by a pair of DataStartSignal and DataEndSignal. All non-speech regions, as well as all SpeechStartSignals and SpeechEndSignals, are removed from the stream. This gives:
Figure 4: A data stream with two speech regions after filtering,
when mergeSpeechSegments is set to true. Note that all
SpeechStartSignals and SpeechEndSignals are removed.
On the other hand, if mergeSpeechSegments is set to false, then each speech region will become its own data stream. Pictorially, our data stream with two speech regions becomes:
Figure 5: A data stream with two speech regions after filtering,
when mergeSpeechSegments is set to false.
That is, the SpeechStartSignal replaced by DataStartSignal, the SpeechEndSignal replaced by DataEndSignal, and the non-speech regions are removed.
| Field Summary | |
static java.lang.String |
PROP_MERGE_SPEECH_SEGMENTS
The Sphinx Property that controls whether to merge discontiguous speech segments (and the non-speech segments between them) in an utterance into one big segment (true), or to treat the individual speech segments as individual utterances (false). |
static boolean |
PROP_MERGE_SPEECH_SEGMENTS_DEFAULT
The default value for PROP_MERGE_SPEECH_SEGMENTS. |
| Constructor Summary | |
NonSpeechDataFilter()
|
| Method Summary | |
Data |
getData()
Returns the next Data or Signal. |
void |
initialize()
Initializes this data processor |
void |
newProperties(PropertySheet ps)
This method is called when this configurable component has new data. |
void |
register(java.lang.String name,
Registry registry)
Register my properties. |
| Methods inherited from class edu.cmu.sphinx.frontend.BaseDataProcessor |
getName, getPredecessor, getTimer, setPredecessor, toString |
| Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
public static final java.lang.String PROP_MERGE_SPEECH_SEGMENTS
public static final boolean PROP_MERGE_SPEECH_SEGMENTS_DEFAULT
| Constructor Detail |
public NonSpeechDataFilter()
| Method Detail |
public void register(java.lang.String name, Registry registry) throws PropertyException
Configurable
register
in interface Configurable
register
in class BaseDataProcessor
PropertyException
public void newProperties(PropertySheet ps) throws PropertyException
Configurable
newProperties
in interface Configurable
newProperties
in class BaseDataProcessor
PropertyException
public void initialize()
initialize
in interface DataProcessor
initialize
in class BaseDataProcessor
public Data getData() throws DataProcessingException
getData
in interface DataProcessor
getData
in class BaseDataProcessor
DataProcessingException
- if a data processing error occurs
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I am a self taught versatile software developer. I develop full-stack webapps, machine learning solutions and anything that pushes me to explore & learn. I am comfortable working with most of the programming languages and frameworks. Looking to work in a learning and challenging environment to enhance both my personal and inter-personal skills. I beleive it's not about the tools but, a craftsman's art to solve a problem.
Leading and designing the company's technological strategy for an effective and a secure resource utilization. Developing, evaluating and implementing new technical business solutions. Assisting the business growth by presenting it to potential investors and marketing the services to cusotmers.
Managing the technical aspects of the company. In charge of design, develop and testing of the business website. Sharing innovative ideas and incorporating latest development tools to help business growth. Conducting technical feasibility studies on proposed startup ideas for the customers.
 The services provided through platform infrastructure includes space booking events organizing, incubation program applications.
Django, Bootstrap, DigitalOcean
A chat bot for all of my fellow silicon valley fans out there. This bot uses a Python web scraper to store all the quotes in a light weight json file. Upon a server request bot finds a random quote from the collection and sends it back to the discord chat.
Modelling and developing interactive visualizations for “QS University Ranking 18-19” and “The dataset of top 250 most expensive football transfers from season 2000-2001 until 2018-2019” data sets to study given hypothesis. Secondly, finding interesting key insights from these datasets.
Studying the official datasets provided by the Government of Malaysia to find out about Malaysian well-being at the state level. A hybrid of info graph and data visualization is accommodated in this project to allow the audience to easily draw conclusions and at the same time let users explore the datasets.
Finding a light weight yet high accuracy model through academic research and training of several different CNN architectures to block trypophobic images on a webpage. This app runs purely at client side. The development process used several different frameworks and libraries written in many different programming languages.
Apart from being a software developer, I am a PC gamer. I also love resistance training and try to live a healthy lifestyle. Moreover, I follow UFC and I am a huge Khabib Abdulmanapovich Nurmagomedov fan 🦅 "AND STILL".
I follow a number of dev YouTubers, i enjoy watching their content on latest software technologies. I spend a large amount of my free time exploring the latest technology advancements in the web development and machine learning world. I love to code single day projects, i recently developed a discord bot for a famous televison series (Silicone-Valley).


,
and translates them to a single LDL formula.
- -o file
-
output to file
- -t fmt
-
output in fmt
("caml", "json")
- --map file
-
output event mappings to file
in xml
- -p
-
parse only
- -v, --verbose
-
become verbose
- -V, --version
-
show version
- -h, --help
-
show usage
rulessat, rulesmc
LDLTools development team at IBM Research.
(C) Copyright IBM Corp. 2018.
License Apache 2.0.
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law.


Modern Innovations with eyes on the future...
Social
i2tm Labs
© 2013 i2tm Labs - All rights reserved.
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Experimental RVL Visualisation service
This service is a demonstrator for the prototypical tooling that was built around the RDFS/OWL Visualisation Language (RVL) by Jan Polowinski in the context of his PhD thesis. No guarantees are given with respect to the quality of this service. Do not post any other data than licensed as CC0 or with a comparable license, since data is temporarily stored on our service and may be visible to others, since we offer no user management yet.
This service is hosted with friendly support by SLUB Dresden. SLUB Dresden is not responsible for the content provided by this service and on the related web pages.


Game 1: Brooklyn Nets at Philadelphia 76ers
My Pick:
Philadelphia 76ers
Why I'm Rolling with them:
The Brooklyn Nets struggle from the same problem a lot of other teams struggle from when they play the 76ers. Their Center just isn't quick enough to handle Embiid. The centers Embiid has the most trouble dealing with are the smaller quick ones like Horford or Ibaka, not the bigger slow ones like Drummond or Gasol. When you compound that with the addition of Butler, as well as Simmons impact against a weak power forward on Brooklyn's side, this game definitely favours Philadelphia. Brooklyn has been playing extremely well lately though, and I could be surprised. Philadelphia 115-107.
Game 2: Boston Celtics at Washington Wizards
My Pick:
Boston Celtics
Why I'm Rolling with them:
The Celtics will welcome having Irving back tonight, as the Celtics look to grow their winning streak to 7 games. Since Jaylen Brown has moved to the bench 3 games ago, he has been putting up 21 points on good efficiency, which also allows the starting lineup to thrive with one less ball dominant player. The Wizards don't really have an answer for Brown off of their bench, and are still missing a center, which has proved to be a major issue in their past two games. Boston doesn't have a star center, but Baynes is a physical force who should be able to dominate the boards against Bryant, who started for the Wizards Monday. Boston takes this one 117-106.
Game 3: Milwaukee Bucks at Indiana Pacers
My Pick:
Milwaukee Bucks
Why I'm Rolling with them:
The Bucks would probably have won this one even with Oladipo playing, however the Pacers are still not a pushover without him. Turner and Sabonis are one of the best center rotations in the league, and are capable of abusing bad matchups. I'll be interested to see how Lopez does against Turner, who is fairly quick for someone his size. Giannis should still have a great game, I'm expecting him to be guarded by Young who shouldn't hamper him too much. Bledsoe and Brogdon are primed for a good game against Collison, who - while still good - hasn't been as efficient as these two Bucks guards. The Bucks win this one 121-113.
Game 4: New York Knicks at Cleveland Cavaliers
My Pick:
New York Knicks
Why I'm Rolling with them:
I would have said the Cavs if someone had asked me this a couple days ago, but then Tristan Thompson went and got himself hurt. His rebounding and scoring presence will be sorely missed, as he had stepped up this season and had already passed his Offensive Rebounding total from last year. His injury will definitely hurt Cleveland this season, which may be good for their tanking plans as they aim to pick up another good player. The Knicks have been subpar lately, losing 4 straight after a shocking OT win over the Bucks. If there's a game they can use to turn it around, it's tonight. Knicks win this one 102-96.
Game 5: Detroit Pistons at Charlotte Hornets
My Pick:
Detroit Pistons
Why I'm Rolling with them:
The Detroit Pistons and the Charlotte Hornets have already played each other this season, and it took Tony Parker scoring 24 off the bench for Charlotte to get the win. Parker isn't having a bad season by any means, but 24 is definitely above average for him this year. As for the Pistons, this team really is a 2 person show, with either Griffin or Drummond leading the team in all 5 major categories. An interesting side tidbit - Drummond is averaging 1.4 steals a game, numbers I definitely wouldn't expect from him. If these two show up, and Detroit gets one more player operating well, they take this one 113-103.
Game 6: Oklahoma City Thunder at New Orleans Pelicans
My Pick:
Oklahoma City Thunder
Why I'm Rolling with them:
The Thunder are the third best rebounding team in the league, as well as the best defensive team in the league. The Pelicans are also a good rebounding team, but their defense is only 24th in the league, absolutely shocking numbers for a team that has both Jrue Holiday and Anthony Davis, thought to be two of the better defenders in the league. I really like the dynamic that has formed between Westbrook and George, and Ferguson has really stepped up into a starting role for the Thunder. OKC wins this one 115-109.
Game 7: Portland Trail Blazers at Memphis Grizzlies
My Pick:
Memphis Grizzlies
Why I'm Rolling with them:
The Memphis grit and grind tactics have served them well so far this season, as they hold the 6th seed even after a 2 game losing skid dropped them a couple of spots in the West standings. Their defensive rating is helped greatly by having Kyle Anderson, and Mike Conley is also a good defender for his position. That could come in handy tonight as they play Portland, a team with extremely good starting guards, but whose remaining roster have struggled at times. Portland also played last night, and is bound to be tired and unable to stick with Memphis as they win 106-100.
Game 8: Atlanta Hawks at Dallas Mavericks
My Pick:
Dallas Mavericks
Why I'm Rolling with them:
The last time these two teams played, Atlanta came back from an insane deficit to win a thriller on the back of a magnificent performance from Trae Young. Since then, Dallas has really started to figure out that Luka is their best player by a mile, and their team has looked a lot better for it. Having Jordan and Barnes to deal with Collins should be enough for Dallas to cruise to an easy victory here, 118-116.
Game 9: Miami Heat at Utah Jazz
My Pick:
Utah Jazz
Why I'm Rolling with them:
The Utah Jazz are the better team here, and I especially like what Rubio brings to this matchup. Miami's starting guards can't really compete with Utah's, and I also think Gobert is a better center than Whiteside, even when Whiteside is focused. This game should support that, as I can see Gobert putting up an efficient 18-10 while Whiteside struggles with an 8-10 performance himself. Utah takes this one in a close game, 114-112.
Game 10: Minnesota Timberwolves at Sacramento Kings
My Pick:
Sacramento Kings
Why I'm Rolling with them:
The Sacramento Kings have just snagged their 14th win, a feat that took them 26 games. Last season, that same 14th win took them 47 games to get. This can be greatly attributed to the improvement in their young players. On the opposite side of the spectrum, both Towns and Wiggins seem to have stagnated to a certain extent this season, and are being kept afloat by the defensive prowess of Covington and the excellent bench play of Rose. The Kings should be able to take this matchup playing a run and gun style that limits Covington's ability to disrupt the halfcourt offense. Kings win, 122-114.
Game 11: Toronto Raptors at Golden State Warriors
My Pick:
Golden State Warriors
Why I'm Rolling with them:
The last time these two teams played, it was an OT thriller which showcased a duel between Kevin Durant and Kawhi Leonard. The Raptors just barely managed to squeak out a win over a Warriors team without Curry or Green, and I'm not too thrilled about their chances tonight. Lowry had a bounce back game last night, scoring 21 points to go along with 7 assists and 5 rebounds in 32 minutes of play, and hopefully he can continue that tonight. But having Green back for the Warriors means they have a far better defender to go against Siakam, who scored 26 points the last time these two teams played. I think the Warriors take this one in a close game at home, 119-115.


| < Day Day Up > |
Chapter 9. Backup and RecoveryAsk your favorite system administrator what the least favorite part of her job is and there's a good chance she'll mutter, "backups," with a sullen look on her face. Running backups ranks right up there with a visit to the dentist on most people's list of least fun things to do.[1]
If you already rely on standard backup software to handle your MySQL servers, you probably have a false sense of security about backups. There aren't many popular backup tools that know how to back up MySQL properly, so that there is no corruption, half-committed transactions, or other assorted problems. In this chapter we'll begin by considering why you need backups in the first place. Then we'll examine the issues that arise when trying to back up a running database server, including a look at why most backup software isn't well suited to MySQL backups. That leads to a discussion of the various backup-related tools for MySQL and how you can put them to use. Finally, we'll consider what's involved in creating a custom backup script. Most of the how-to material is in the second half of the chapter. Much of the initial discussion revolves around understanding your backup options and how to go about selecting the right one. |
| < Day Day Up > |


Major Studio 1 👨🏻💻
Class Exercises & Assignments by
Andrew Levinson
⇗
Assignments
Qualitative Data (UNDP Policy Brief)
Redesign section of p. ii 👉
Word Frequency Analysis 👉
Quantitative Data (D3 Scatterplot)
What percentage of a country's total electricity output is renewable? 👉
Interactivity / Final
How can acting on renewable energy potential improve the ease of doing business in Sub-Saharan Africa? 👉
In-class Exercises
Student Group Randomizer 👉
Pong Game 👉
Transformations 👉
Word Frequency (OOP) 👉
D3 Graph 👉


a fairy tale of a magical place
a forest
creatures
electrical impulses
a panda
life in the slow lane
astonishing


Kogi election: INEC executed APC’s grand plan to impose Yahaya Bello on people - Umar Sani
- Former presidential aide, Umar Sani, has reacted over Kogi election
- Sani described the election as an allocation of votes to APC by the INEC
- The ex-spokesman to former vice president Namadi Sambo said the electoral umpire acted the script written by the APC
Umar Sani, a former presidential aide, has described the Saturday, November 16, governorship election in Kogi state as an electoral banditry and robbery.
Speaking in an exclusive chat with Legit.ng, Sani said the chairman of Independent national Electoral Commission (INEC), Mahmood Yakubu, only executed the assignment given to him by the federal government to return Yahaya Bello as the governor of Kogi state.
He wondered why the late former governor of the state, Abubakar Audu, with his political influence and acceptance by people could not defeat the Peoples Democratic Party (PDP) with the bogus margin INEC released as the difference between Bello and Musa Wada during the election.
Bayelsa election: Dickson’s lack of regard for ex-president Jonathan caused PDP’s loss - Umar Sani
He said: “As for Kogi, it was turned to a theatre of war and violence. You need not be a soothsayer to know that no election took place in Kogi rather the allocation of votes that was supervised by INEC and supported by a vice chancellor who was specially handpicked to engage in such a hatchet job was what transpired.
“How popular is Governor Yahaya Bello compared to late Prince Abubakar Audu who defeated the PDP fair and square with 248,000 plus votes which he inherited and now he sets a new world record of 406,000 plus votes and his magical Okene abracadabra.”
Sani alleged that the INEC chairman Yakubu was only doing what the ruling APC asked him to do in order to prevent himself from being exposed for his alleged role in TETFUND.
He said: “I think the choice of Prof Mahmood Yakubu as INEC boss was deliberate. Do our bidding or get exposed for your role at TETFUND. So far he has kept faith with the promise and the process. What happened in Kogi is not an election but electoral banditry and robbery.”
Oshiomhole commends Jonathan over Bayelsa polls
The former presidential aide said he lost confidence in the Nigerian judiciary, adding that it would be impossible for the Supreme Court to upturn any governorship election where APC had won.
He, however, noted that some of the National Assembly elections that were upturned recently was a ploy to redeem the image of Nigerian judiciary.
“This flashes you see in the legislative upturns is a ploy to redeem their image, however that is where it stops. I don’t believe in the Nigerian judiciary, they are toothless bulldogs they can only bark but cannot bite.
“If not for people like Justice Zainab Ali Jos who has exhibited exceptional courage, honesty and sincerity and distinguished herself as a transparent judge, my assessment of the judiciary will have been hogwash. I do not see the Supreme Court upturning any governorship election except perhaps it has to be a PDP state.
“They are compromised and it is a shame on our so-called judicial independence and impartiality. Yahaya Bello was not even bothered about his election, rather, it is over his dead body for Dino Melaye to return, placing more emphasis on impressing the president than allow equity, fairness and justice to prevail. Every day, INEC is proving to Nigerians that Maurice Iwu is a saint,” he said.
I didn't sack 35 aides of Osinbajo - Buhari finally clears the air
PAY ATTENTION: Download our mobile app to enjoy the latest news update
Meanwhile, Legit.ng had previously reported that Sani said the defeat suffered by the PDP during the Saturday, November 16, governorship election in Bayelsa state could have been averted if the party had fielded a popular candidate.
NAIJ.com (naija.ng) - Legit.ng We have upgraded to serve you better.
Kogi election: I will come out victorious, Yahaya Bello boasts | - on Legit TV


A horizontal crossfader. Crossfader are a type of Widget and inherit its methods and properties.
Example:
// crossfade between two drum loops
loop1 = Drums( 'x*o*x*o-' )
loop2 = Drums( 'x*ox*xo-' ).pitch( 2 )
// map amplitudes of both loops to crossfader
loop1.amp = loop2.amp = Crossfader()
// invert mapping on one loop
loop2.Amp.invert()
See the Widget prototype for many other relevant properties.
See the Widget prototype for relevant methods.


You've got a raw.github.com
URL that points to some work-in-progress HTML, JavaScript, or CSS. You'd like to share it with someone as a working example, or maybe you'd like to use it in a jsPerf test.
Too bad! Most things served from raw.github.com
have a text/plain
content type, which means HTML won't render, and some browsers won't execute JavaScript or apply CSS.
Delete the dot! Just replace raw.github.com
with rawgithub.com
and skadoosh, you're loading raw files from your GitHub repo and they're served with appropriate content types. Render HTML, apply CSS, execute JavaScript.
Before
https://raw.github.com/user/repo/master/filename.js
After
https://rawgithub.com/user/repo/master/filename.js
It works with gists too! Just replace gist.github.com
with rawgithub.com
in the raw gist URL.
Use this for testing and for sharing demo code with friends, but don't use it for anything production-related. It's slow, and it might break from time to time. You've been warned.
The source code for rawgithub.com is hosted on GitHub! Fork it and go nuts.
Hey! rawgithub.com is just for fun and is not associated with GitHub in any way. Please use it responsibly. Got feedback? I'm @yaypie.


Before arriving at Ascension Island, yachts need to submit an Entry Permit Application and email it to<EMAIL_ADDRESS>at least 28 days before arrival. Faxing the permit from St. Helena might be the best option as, officially, you only have a window of up to 72 hours after your stated arrival and departure dates for the permit to be valid.
On Arrival
You will need to contact ‘Ascension Island Radio’ on channel 16 to advise of your arrival, they will then instruct you to contact the port authorities – call sign ‘Port Control’ – who will instruct you from there. Ascension Radio operates VHF on Channel 16 for 24 hours a day.
Anchoring
There are NO moorings available for use by yachts (they are all privately owned and maintained) so you will need to anchor in the northern part of Clarence Bay. PLEASE be aware of the floating hose line that is secured in this area, the hose is connected at each end to moorings however the middle can and does move quite significantly and also has vertical metal posts intermittently along its length, so be sure to leave sufficient space.
Do not anchor anywhere which could obstruct the arrival and departure of ships or the unloading of cargo.
Pier head steps
Be aware that much of the anchorage is foul ground, so take care when setting your anchor. Anchoring in depths >15m both reduces the effect of the swell and the chances of fouling your anchor.
Getting Ashore
There is no water taxi service available and all landing must be at the main pier head steps, Georgetown – landing on the beaches is strictly prohibited.
After landing at the steps dinghies must be held away from the steps. Use a long painter tied to the Span (not the landing steps) and use a weight (NOT an anchor) on a stern line to hold the dinghy away from the landing.
If there is a ship in port, then a ferry shuttle is available (call on VHF channel 08).
Clearance
You MUST have exit papers from your last port-of-call. Without them, you cannot stop here.
An Entry Permit Fee per person is payable at the Police Office (including children under 12). See fees below.
After reporting your arrival to Ascension Radio on VHF Channel 16, Ascension Radio will notify the Shipping Officer during day light hours by telephone and that Office will make contact with the yacht and arrange a time for the skipper to come ashore to register.
When registering, the Skipper should take ashore details of the vessel, a crew list and crew passports. No person may leave the yacht at Ascension without the prior permission of the Administrator.
Permission is normally given for a yacht to remain for any reasonable period and for the crew to come ashore between the hours of 7 am and 11 pm unless they have a special pass issued by the Police to stay ashore overnight. The pass will give details of the Island Sponsor with whom the visitor must stay. Sleeping rough on shore is not permitted. Applications for passes will not be accepted after office closing hours.
Important Points
The Skipper and all crew members are required to take out Medical Insurance to cover medical costs which must include provision for medical evacuation. It is strongly recommended that medical insurance is taken out in advance as there is no guarantee that cover can be arranged locally and all persons are required to have medical insurance before being allowed ashore.
Animals are not allowed ashore.
Be sure to read the official website before visiting the island, including the page, 'Information for yachtsmen' in the 'Further Info' section.
If a hire car is required, then this will need to be booked in advance through the Tourist Information Office on<EMAIL_ADDRESS>Last updated July 2016.
All persons visiting the island must have an Entry Permit (except certain members of the armed forces and government officials). See Entry Permit Application and email it to<EMAIL_ADDRESS>or faxed it to (+247) 6152. Allow at least 28 days for this application.
The maximum length of stay for tourist is 3 months,
Evidence of sufficient medical insurance cover with a minimum cover of £1m, as evacuation by air ambulance alone can cost this much.
No crew may leave the yacht at Ascension without prior permission..
Last updated July 2016.
Firearms must remain on board.
Animals must remain on board and are not allowed ashore.
Last updated July 2016.
Yellow fever vaccination certificates are required if coming from some African countries.
There is a small hospital but all emergencies must be flown out.
Full medical insurance is required by all visitors. There is no no guarantee it can be arranged locally.
Light dues of £15 are payable at the Assistant Harbour Master’s Office.
Medical insurance sufficient to cover a medical evacuation by air is compulsory. It is available on the island at £4 per day. Existing policies are acceptable.
An Entry Permit Fee of £15 per person is payable at the Police Office (Children under 12 free).
Last updated March 2016.
Yachts are not allowed to anchor anywhere except Clarence Bay.
By 2017 the Island will become the Atlantic's largest marine reserve. This will mean restrictions on fishing. The Island's government will monitor the reserve using satellite imaging and patrol vessels. It will be looking out for illegal shark finning and fishing of endangered shark species. It will require fishing vessels to use de-hookers and dip nets to free any sharks, turtles and seabirds that are caught by accident.
This is a very friendly island and since few yachts call here, the locals love to talk to you.
Pets for yachts are not permitted to land on Ascension Island.


org.apache.commons.betwixt.io.read
Classes
AddressBean
AddressBook
AlertBean
Animal
Animals
BeanWithConcreteMap
CatBean
CompassPoint
DogBean
Element
Elements
FerretBean
HouseBean
HouseBeans
PersonBean
PetBean
SimpleStringCollective
TestBeanCreation
TestBindTimeTypeMapping
TestMappingActions
TestMaps
TestPolymorphic
TestReadContext
TestReadData


| ID | Comments | Series | Volume | Issue | Title | Publisher | Year | Filename |
|---|
TBD:
Better table style
Better popups
More columns,(horiz scrolling??)
File download links in popup
Thumbnails in table??


{% extends 'account/base.html' %} {% block title %} Reset Your Password {% endblock title %} {% block content %}
We've email you instruction to reset password
If you dont receive email, please make sure you've entered the address you registered with.
{% endblock content %}


Lack
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The image is focused directly onto the camera sensor, which records the incoming light. The sensor consists of thousands, if not millions, of light-sensitive photosites which accumulate a charge from the incoming light. Each photosite accumulates a charge, which it then outputs in the form of a voltage waveform. This initial charge is a physical (or analog) measurement. Before it can be processed, it must be converted to a digital signal, which will be discussed in the next section.
Photosites are atomic picture sensing elements which capture continuous light in discrete samples. The magnitude of the charge depends on the strength and duration of light exposure. For example, brighter portions of an image result from higher-charged photosites than their dimmer companions. Photosites are arranged in rows and columns on a flat rectangular sensor- they exist in a two-dimensional array.
A typical sensor consists of 4000x4000 photosites or more. Each photosite corresponds to a pixel in the resulting image, so image size and resolution depends greatly on the size and quality of the image sensor. Image pixels are also arranged in two-dimensional arrays.
Math fact: A camera sensor produces a digital output proportional to the integral of the light received at each sensor.
Once recorded, the individual analog charge magnitudes are digitized: converted to discrete numerical quantities. The analog signal is continuous, while the digital signal (by definition) is discrete. In order to convert the analog signal to digital, the analog signal is sampled (measured at regular intervals) and then quantized (assigned to a set of integer values). This process occurs within an analog-to-digital circuit.
During quantization, each sampled value is assigned an integer representation. Pixel intensity ranges from 0 to 255, and so each value must be mapped to the integer value that most closely represents it. The result is stored in an array. A digital image is, therefore, a sampled collection of integer values that represent light recorded by the image sensor.
The image array can have any number of operations performed on it, which is known as digital image processing. A common operation performed during quantization is noise reduction, which consists of averaging image data. This is performed by an Arithmetic Logic Unit, which performs arithmetic and logical operations on entire images in parallel.
If a camera is not storing RAW (or uncompressed) image data, it must convert the data to a smaller image file format. Image file formats include JPEG, PNG, GIF, among others. These conversions require compression of image data, which can result in diminished image quality. However, compression is necessary for fast transmission of images across web-enabled devices, as well as for mass storage of images. Conversion is performed in the image processing stage, before the image is stored onto long-term media storage. Often a camera will apply a tone curve, or light contrast adjustment to an image before it is converted and saved in JPEG or PNG format.
Finally, the RAW image data can be stored onto a memory card, or the processed, curved and JPEG-converted image can be stored. This data can be accessed later by a computer for viewing, sending, and/ or editing.
A note on file size/ storage: 1024x1024 image at 8bits per pixel is 1MB storage if image is uncompressed. A typical JPEG is 3MB, while a RAW file can be upwards of 43 MB.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/continuous.20tactic.html ---
Can we have a tactic that solves continuity goals, matching e.g. continuous (f o g)
and splitting it into two goals?
meta def continuity_goals := `[apply continuous.comp]
or something?
I have this but it is based on backwards_reasoning
and it seemed better to wait for that to land in mathlib first.
nice
Sorry, I haven’t given the backwards reasoning PR much attention recently. I’ll try to get back to it!
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


| Module Name | Report |
| cisco_ios |
|
| device_manager |
|
| provision |
|
| puppetlabs-accounts |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 58 |
|
2021-01-31T01:19:15Z |
|
| 57 |
|
2021-01-30T01:40:38Z |
success |
| 56 |
|
2021-01-29T01:49:21Z |
failure |
| 55 |
|
2021-01-28T01:34:56Z |
failure |
| 54 |
|
2021-01-27T01:44:57Z |
success |
| 53 |
|
2021-01-26T01:37:48Z |
success |
|
|
| puppetlabs-acl |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 83 |
|
2021-01-31T01:08:56Z |
success |
| 82 |
|
2021-01-30T01:08:53Z |
success |
| 81 |
|
2021-01-29T01:10:27Z |
success |
| 80 |
|
2021-01-28T01:10:52Z |
failure |
| 79 |
|
2021-01-27T01:09:33Z |
success |
| 78 |
|
2021-01-26T01:10:49Z |
failure |
|
|
| puppetlabs-apache |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 73 |
|
2021-01-31T01:07:28Z |
|
| 72 |
|
2021-01-30T02:21:39Z |
success |
| 71 |
|
2021-01-29T02:32:13Z |
success |
| 70 |
|
2021-01-28T02:21:30Z |
failure |
| 69 |
|
2021-01-27T02:34:28Z |
failure |
| 68 |
|
2021-01-26T02:18:10Z |
success |
|
|
| puppetlabs-apt |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 29 |
|
2021-01-31T00:27:15Z |
failure |
| 28 |
|
2021-01-30T00:25:36Z |
failure |
| 27 |
|
2021-01-29T00:24:46Z |
failure |
| 26 |
|
2021-01-28T00:27:20Z |
failure |
| 25 |
|
2021-01-27T00:24:21Z |
failure |
| 24 |
|
2021-01-26T00:26:33Z |
failure |
|
|
| puppetlabs-chocolatey |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 60 |
|
2021-01-31T00:41:45Z |
success |
| 59 |
|
2021-01-30T00:41:41Z |
failure |
| 58 |
|
2021-01-29T00:47:26Z |
failure |
| 57 |
|
2021-01-28T00:47:33Z |
failure |
| 56 |
|
2021-01-27T00:49:09Z |
success |
| 55 |
|
2021-01-26T00:46:19Z |
success |
|
|
| puppetlabs-concat |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 58 |
|
2021-01-31T00:57:15Z |
|
| 57 |
|
2021-01-30T02:40:12Z |
failure |
| 56 |
|
2021-01-29T02:44:40Z |
failure |
| 55 |
|
2021-01-28T02:32:27Z |
failure |
| 54 |
|
2021-01-27T02:40:01Z |
failure |
| 53 |
|
2021-01-26T02:36:10Z |
success |
|
|
| puppetlabs-docker |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 75 |
|
2021-01-31T01:21:18Z |
|
| 74 |
|
2021-01-30T01:59:59Z |
success |
| 73 |
|
2021-01-29T01:59:11Z |
success |
| 72 |
|
2021-01-28T01:55:26Z |
failure |
| 71 |
|
2021-01-27T01:55:29Z |
success |
| 70 |
|
2021-01-26T01:55:11Z |
success |
|
|
| puppetlabs-dsc |
|
| puppetlabs-dsc_lite |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 25 |
|
2021-01-31T00:54:04Z |
|
| 24 |
|
2021-01-30T01:55:46Z |
success |
| 23 |
|
2021-01-29T01:57:14Z |
success |
| 22 |
|
2021-01-28T01:55:48Z |
success |
| 21 |
|
2021-01-27T01:55:37Z |
success |
| 20 |
|
2021-01-26T01:51:35Z |
success |
|
|
| puppetlabs-exec |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 53 |
|
2021-01-31T00:59:49Z |
success |
| 52 |
|
2021-01-30T01:04:06Z |
success |
| 51 |
|
2021-01-29T01:20:16Z |
success |
| 50 |
|
2021-01-28T01:10:43Z |
success |
| 49 |
|
2021-01-27T01:11:12Z |
success |
| 48 |
|
2021-01-26T01:10:56Z |
failure |
|
|
| puppetlabs-facter_task |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 53 |
|
2021-01-31T00:30:37Z |
success |
| 52 |
|
2021-01-30T00:32:28Z |
success |
| 51 |
|
2021-01-29T00:39:39Z |
success |
| 50 |
|
2021-01-28T00:34:54Z |
success |
| 49 |
|
2021-01-27T00:33:34Z |
success |
| 48 |
|
2021-01-26T00:32:44Z |
success |
|
|
| puppetlabs-firewall |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 53 |
|
2021-01-31T00:53:24Z |
|
| 52 |
|
2021-01-30T02:13:49Z |
success |
| 51 |
|
2021-01-29T02:18:21Z |
failure |
| 50 |
|
2021-01-28T02:11:13Z |
failure |
| 49 |
|
2021-01-27T02:18:01Z |
success |
| 48 |
|
2021-01-26T02:09:55Z |
success |
|
|
| puppetlabs-haproxy |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 59 |
|
2021-01-31T00:41:30Z |
success |
| 58 |
|
2021-01-30T00:42:50Z |
success |
| 57 |
|
2021-01-29T00:45:13Z |
success |
| 56 |
|
2021-01-28T00:43:29Z |
success |
| 55 |
|
2021-01-27T00:44:39Z |
success |
| 54 |
|
2021-01-26T00:44:43Z |
success |
|
|
| puppetlabs-helm |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 53 |
|
2021-01-31T00:37:28Z |
failure |
| 52 |
|
2021-01-30T00:35:11Z |
failure |
| 51 |
|
2021-01-29T00:35:46Z |
failure |
| 50 |
|
2021-01-28T00:37:06Z |
failure |
| 49 |
|
2021-01-27T00:34:38Z |
failure |
| 48 |
|
2021-01-26T00:36:39Z |
failure |
|
|
| puppetlabs-ibm_installation_manager |
|
| puppetlabs-iis |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 52 |
|
2021-01-31T00:30:22Z |
|
| 51 |
|
2021-01-30T01:32:00Z |
success |
| 50 |
|
2021-01-29T01:40:53Z |
failure |
| 49 |
|
2021-01-28T01:34:02Z |
failure |
| 48 |
|
2021-01-27T01:40:40Z |
success |
| 47 |
|
2021-01-26T01:33:46Z |
success |
|
|
| puppetlabs-inifile |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 58 |
|
2021-01-31T00:41:57Z |
success |
| 57 |
|
2021-01-30T00:36:40Z |
success |
| 56 |
|
2021-01-29T00:40:36Z |
failure |
| 55 |
|
2021-01-28T00:40:28Z |
failure |
| 54 |
|
2021-01-27T00:35:55Z |
failure |
| 53 |
|
2021-01-26T00:37:35Z |
failure |
|
|
| puppetlabs-java |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 73 |
|
2021-01-31T00:42:57Z |
|
| 72 |
|
2021-01-30T01:49:14Z |
failure |
| 71 |
|
2021-01-29T01:57:00Z |
success |
| 70 |
|
2021-01-28T01:48:35Z |
failure |
| 69 |
|
2021-01-27T01:52:29Z |
failure |
| 68 |
|
2021-01-26T01:47:09Z |
failure |
|
|
| puppetlabs-java_ks |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 53 |
|
2021-01-31T00:56:10Z |
|
| 52 |
|
2021-01-30T02:23:55Z |
failure |
| 51 |
|
2021-01-29T02:33:33Z |
failure |
| 50 |
|
2021-01-28T02:24:41Z |
failure |
| 49 |
|
2021-01-27T02:24:59Z |
failure |
| 48 |
|
2021-01-26T02:20:45Z |
failure |
|
|
| puppetlabs-kubernetes |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 26 |
|
2021-01-31T00:54:56Z |
failure |
| 25 |
|
2021-01-30T00:52:00Z |
failure |
| 24 |
|
2021-01-29T00:52:52Z |
failure |
| 23 |
|
2021-01-28T00:54:18Z |
failure |
| 22 |
|
2021-01-27T00:51:53Z |
failure |
| 21 |
|
2021-01-26T00:52:53Z |
failure |
|
|
| puppetlabs-motd |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 96 |
|
2021-01-31T01:18:55Z |
failure |
| 95 |
|
2021-01-30T00:52:24Z |
success |
| 94 |
|
2021-01-29T01:28:08Z |
success |
| 93 |
|
2021-01-28T00:54:33Z |
success |
| 92 |
|
2021-01-27T01:05:55Z |
failure |
| 91 |
|
2021-01-26T12:43:07Z |
success |
|
|
| puppetlabs-mysql |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 53 |
|
2021-01-31T00:52:30Z |
|
| 52 |
|
2021-01-30T02:14:41Z |
success |
| 51 |
|
2021-01-29T02:13:50Z |
success |
| 50 |
|
2021-01-28T02:07:08Z |
success |
| 49 |
|
2021-01-27T02:13:39Z |
failure |
| 48 |
|
2021-01-26T02:06:38Z |
failure |
|
|
| puppetlabs-ntp |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 59 |
|
2021-01-31T01:07:40Z |
|
| 58 |
|
2021-01-30T02:00:23Z |
success |
| 57 |
|
2021-01-29T02:05:50Z |
success |
| 56 |
|
2021-01-28T01:58:35Z |
success |
| 55 |
|
2021-01-27T02:05:35Z |
success |
| 54 |
|
2021-01-26T01:57:30Z |
success |
|
|
| puppetlabs-package |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 68 |
|
2021-01-31T00:55:45Z |
|
| 67 |
|
2021-01-30T01:47:01Z |
failure |
| 66 |
|
2021-01-29T01:55:25Z |
failure |
| 65 |
|
2021-01-28T01:46:11Z |
failure |
| 64 |
|
2021-01-27T01:47:29Z |
success |
| 63 |
|
2021-01-26T01:43:48Z |
failure |
|
|
| puppetlabs-panos |
|
| puppetlabs-postgresql |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 45 |
|
2021-01-31T00:58:24Z |
|
| 44 |
|
2021-01-30T02:14:49Z |
failure |
| 43 |
|
2021-01-29T02:18:38Z |
failure |
| 42 |
|
2021-01-28T02:10:36Z |
failure |
| 41 |
|
2021-01-27T02:15:24Z |
failure |
| 40 |
|
2021-01-26T02:09:46Z |
failure |
|
|
| puppetlabs-powershell |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 55 |
|
2021-01-31T00:56:13Z |
failure |
| 54 |
|
2021-01-30T01:00:46Z |
failure |
| 53 |
|
2021-01-29T01:04:50Z |
failure |
| 52 |
|
2021-01-28T01:07:59Z |
failure |
| 51 |
|
2021-01-27T00:59:40Z |
failure |
| 50 |
|
2021-01-26T00:56:01Z |
failure |
|
|
| puppetlabs-puppet_conf |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 59 |
|
2021-01-31T01:03:28Z |
success |
| 58 |
|
2021-01-30T01:05:36Z |
success |
| 57 |
|
2021-01-29T01:24:34Z |
success |
| 56 |
|
2021-01-28T01:11:24Z |
failure |
| 55 |
|
2021-01-27T01:11:25Z |
success |
| 54 |
|
2021-01-26T01:10:42Z |
success |
|
|
| puppetlabs-reboot |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 68 |
|
2021-01-31T01:23:39Z |
|
| 67 |
|
2021-01-30T01:36:00Z |
success |
| 66 |
|
2021-01-29T01:44:24Z |
failure |
| 65 |
|
2021-01-28T01:31:45Z |
success |
| 64 |
|
2021-01-27T01:39:57Z |
failure |
| 63 |
|
2021-01-26T01:33:37Z |
success |
|
|
| puppetlabs-registry |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 83 |
|
2021-01-31T01:07:57Z |
success |
| 82 |
|
2021-01-30T01:11:12Z |
success |
| 81 |
|
2021-01-29T01:45:38Z |
failure |
| 80 |
|
2021-01-28T01:10:28Z |
success |
| 79 |
|
2021-01-27T01:18:32Z |
success |
| 78 |
|
2021-01-26T01:13:47Z |
success |
|
|
| puppetlabs-resource_api |
|
| puppetlabs-rook |
|
| puppetlabs-satellite_pe_tools |
|
| puppetlabs-scheduled_task |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 60 |
|
2021-01-31T00:30:52Z |
success |
| 59 |
|
2021-01-30T00:31:55Z |
success |
| 58 |
|
2021-01-29T00:28:09Z |
success |
| 57 |
|
2021-01-28T00:28:25Z |
success |
| 56 |
|
2021-01-27T00:26:10Z |
success |
| 55 |
|
2021-01-26T00:28:40Z |
success |
|
|
| puppetlabs-service |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 51 |
|
2021-01-31T00:52:10Z |
|
| 50 |
|
2021-01-30T01:41:54Z |
failure |
| 49 |
|
2021-01-29T01:45:06Z |
failure |
| 48 |
|
2021-01-28T01:35:54Z |
failure |
| 47 |
|
2021-01-27T01:43:26Z |
failure |
| 46 |
|
2021-01-26T01:38:37Z |
failure |
|
|
| puppetlabs-sqlserver |
|
| puppetlabs-stdlib |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 67 |
|
2021-01-31T01:04:03Z |
success |
| 66 |
|
2021-01-30T02:01:17Z |
success |
| 65 |
|
2021-01-29T02:14:14Z |
success |
| 64 |
|
2021-01-28T01:59:04Z |
failure |
| 63 |
|
2021-01-27T02:04:04Z |
success |
| 62 |
|
2021-01-26T01:56:18Z |
success |
|
|
| puppetlabs-tagmail |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 59 |
|
2021-01-31T00:18:55Z |
success |
| 58 |
|
2021-01-30T00:18:07Z |
success |
| 57 |
|
2021-01-29T00:19:08Z |
failure |
| 56 |
|
2021-01-28T00:21:53Z |
success |
| 55 |
|
2021-01-27T00:20:46Z |
success |
| 54 |
|
2021-01-26T00:24:41Z |
success |
|
|
| puppetlabs-testing |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 114 |
|
2021-01-31T00:44:43Z |
|
| 113 |
|
2021-01-30T01:55:25Z |
success |
| 112 |
|
2021-01-29T01:57:16Z |
failure |
| 111 |
|
2021-01-28T01:50:16Z |
failure |
| 110 |
|
2021-01-27T01:52:34Z |
success |
| 109 |
|
2021-01-26T01:49:25Z |
success |
|
|
| puppetlabs-tomcat |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 54 |
|
2021-01-31T00:43:42Z |
|
| 53 |
|
2021-01-30T01:55:42Z |
failure |
| 52 |
|
2021-01-29T02:06:03Z |
failure |
| 51 |
|
2021-01-28T01:56:55Z |
failure |
| 50 |
|
2021-01-27T01:59:08Z |
failure |
| 49 |
|
2021-01-26T01:55:08Z |
success |
|
|
| puppetlabs-vcsrepo |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 48 |
|
2021-01-31T00:43:53Z |
|
| 47 |
|
2021-01-30T02:02:16Z |
success |
| 46 |
|
2021-01-29T02:14:17Z |
success |
| 45 |
|
2021-01-28T02:00:41Z |
failure |
| 44 |
|
2021-01-27T02:05:07Z |
failure |
| 43 |
|
2021-01-26T01:58:30Z |
failure |
|
|
| puppetlabs-vsphere |
|
| puppetlabs-websphere_application_server |
|
| puppetlabs-wsus_client |
| Workflow | Runs |
| nightly |
| Run Number | Branch | Updated At | Conclusion |
| 26 |
|
2021-01-31T00:56:19Z |
|
| 25 |
|
2021-01-30T01:32:28Z |
success |
| 24 |
|
2021-01-29T01:37:12Z |
success |
| 23 |
|
2021-01-28T01:33:46Z |
success |
| 22 |
|
2021-01-27T01:33:44Z |
success |
| 21 |
|
2021-01-26T01:29:19Z |
success |
|
|


Translate an expression to sql.
translate_sql(..., con = NULL, vars = character(), vars_group = NULL, vars_order = NULL, window = TRUE) translate_sql_(dots, con = NULL, vars_group = NULL, vars_order = NULL, window = TRUE)
| ..., dots | Expressions to translate. |
|---|---|
| con | An optional database connection to control the details of
the translation. The default, |
| vars | Deprecated. Now call |
| vars_group, vars_order | Grouping and ordering variables used for windowed functions. |
| window | Use |
The base translator, base_sql
,
provides custom mappings for !
(to NOT), &&
and &
to
AND
, ||
and |
to OR
, ^
to POWER
,
%>%
to %
, ceiling
to CEIL
, mean
to
AVG
, var
to VARIANCE
, tolower
to LOWER
,
toupper
to UPPER
and nchar
to LENGTH
.
c()
and :
keep their usual R behaviour so you can easily create
vectors that are passed to sql.
All other functions will be preserved as is. R's infix functions
(e.g. %like%
) will be converted to their SQL equivalents
(e.g. LIKE
). You can use this to access SQL string concatenation:
||
is mapped to OR
, but %||%
is mapped to ||
.
To suppress this behaviour, and force errors immediately when dplyr doesn't
know how to translate a function it encounters, using set the
dplyr.strict_sql
option to TRUE
.
You can also use sql()
to insert a raw sql string.
The SQLite variant currently only adds one additional function: a mapping
from sd()
to the SQL aggregation function STDEV
.
# Regular maths is translated in a very straightforward way translate_sql(x + 1)#> <SQL> "x" + 1.0translate_sql(sin(x) + tan(y))#> <SQL> SIN("x") + TAN("y")# Note that all variable names are escaped translate_sql(like == "x")#> <SQL> "like" = 'x'# In ANSI SQL: "" quotes variable _names_, '' quotes strings # Logical operators are converted to their sql equivalents translate_sql(x < 5 & !(y >= 5))#> <SQL> "x" < 5.0 AND NOT(("y" >= 5.0))# xor() doesn't have a direct SQL equivalent translate_sql(xor(x, y))#> <SQL> "x" OR "y" AND NOT ("x" AND "y")# If is translated into case when translate_sql(if (x > 5) "big" else "small")#> <SQL> CASE WHEN ("x" > 5.0) THEN ('big') ELSE ('small') END# Infix functions are passed onto SQL with % removed translate_sql(first %like% "Had%")#> <SQL> "first" LIKE 'Had%'translate_sql(first %is% NULL)#> <SQL> "first" IStranslate_sql(first %in% c("John", "Roger", "Robert"))#> <SQL> "first" IN ('John', 'Roger', 'Robert')# And be careful if you really want integers translate_sql(x == 1)#> <SQL> "x" = 1.0translate_sql(x == 1L)#> <SQL> "x" = 1# If you have an already quoted object, use translate_sql_: x <- quote(y + 1 / sin(t)) translate_sql_(list(x))#> <SQL> "y" + 1.0 / SIN("t")# Windowed translation -------------------------------------------- # Known window functions automatically get OVER() translate_sql(mpg > mean(mpg))#> <SQL> "mpg" > avg("mpg") OVER ()# Suppress this with window = FALSE translate_sql(mpg > mean(mpg), window = FALSE)#> <SQL> "mpg" > AVG("mpg")# vars_group controls partition: translate_sql(mpg > mean(mpg), vars_group = "cyl")#> <SQL> "mpg" > avg("mpg") OVER (PARTITION BY "cyl")# and vars_order controls ordering for those functions that need it translate_sql(cumsum(mpg))#> Warning: Windowed expression 'sum("mpg")' does not have explicit order. #> Please use arrange() to make determinstic.#> <SQL> sum("mpg") OVER (ROWS UNBOUNDED PRECEDING)translate_sql(cumsum(mpg), vars_order = "mpg")#> <SQL> sum("mpg") OVER (ORDER BY "mpg" ROWS UNBOUNDED PRECEDING)


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Restore folder location: {{selNode.channelBackupPath}}/restore
All channel backup file not found! To perform channel restoration, channel backup file/s must be placed at the above location.
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Restore folder location: {{selNode.channelBackupPath}}/restore
| Channel Point |
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Hello, world!
My blog will give frequent updates of the recent
bestselling novels
and tell the viewers about their plot,price and other necessary
information. News related to the academic tycoon coaching
'Resonance' are updated informing about the various
Workshops,Scholarship Exams and Tech examinations held here
Recent activities of the the thrilling national cadet
corps(NCC),Bhopal are posted on a monthly basis.


Honzi/Personal Bests/Hearthstone/Rastakhan's Rumble
| Elemental Evocation
| 0
| Common
| Mage
| 2
| 1
|
| Pounce
| 0
| Common
| Druid
| 2
|
|
| Regenerate
| 0
| Common
| Priest
| 2
|
|
| Bloodclaw
| 1
| Common
| Paladin
| 2
|
|
| Daring Fire-Eater
| 1
| Common
| Mage
| 2
|
|
| Devastate
| 1
| Common
| Warrior
| 2
|
|
| Grim Rally
| 1
| Rare
| Warlock
| 2
|
|
| Gurubashi Chicken
| 1
| Common
| Neutral
| 2
|
|
| Helpless Hatchling
| 1
| Common
| Neutral
| 2
|
|
| Saronite Taskmaster
| 1
| Common
| Neutral
| 2
| 1
|
| Serrated Tooth
| 1
| Common
| Rogue
| 2
|
|
| Shriek
| 1
| Rare
| Warlock
| 2
|
|
| Spirit of the Dead
| 1
| Rare
| Priest
| 2
|
|
| Spirit of the Raptor
| 1
| Rare
| Druid
| 2
|
|
| Spirit of the Rhino
| 1
| Rare
| Warrior
| 2
|
|
| Springpaw
| 1
| Common
| Hunter
| 2
|
|
| The Beast Within
| 1
| Epic
| Hunter
| 1
|
|
| Totemic Smash
| 1
| Common
| Shaman
| 2
|
|
| Wartbringer
| 1
| Common
| Shaman
| 2
|
|
| Auchenai Phantasm
| 2
| Epic
| Priest
| 1
|
|
| Belligerent Gnome
| 2
| Rare
| Neutral
| 2
|
|
| Big Bad Voodoo
| 2
| Epic
| Shaman
| 1
| 1
|
| Bloodsail Howler
| 2
| Rare
| Rogue
| 2
|
|
| Booty Bay Bookie
| 2
| Rare
| Neutral
| 2
|
|
| Cheaty Anklebiter
| 2
| Common
| Neutral
| 2
|
|
| Dozing Marksman
| 2
| Common
| Neutral
| 2
|
|
| Dragon Roar
| 2
| Common
| Warrior
| 2
|
|
| Firetree Witchdoctor
| 2
| Rare
| Neutral
| 2
| 2
|
| Flash of Light
| 2
| Common
| Paladin
| 2
|
|
| Headhunter's Hatchet
| 2
| Common
| Hunter
| 2
|
|
| Immortal Prelate
| 2
| Epic
| Paladin
| 2
|
|
| Likkim
| 2
| Rare
| Shaman
| 2
|
|
| Revenge of the Wild
| 2
| Rare
| Hunter
| 2
|
|
| Savage Striker
| 2
| Common
| Druid
| 2
|
|
| Scarab Egg
| 2
| Common
| Neutral
| 2
|
|
| Seance
| 2
| Common
| Priest
| 2
| 1
|
| Serpent Ward
| 2
| Rare
| Neutral
| 2
| 1
|
| Sharkfin Fan
| 2
| Common
| Neutral
| 2
| 1
|
| Shieldbreaker
| 2
| Rare
| Neutral
| 2
| 1
|
| Soup Vendor
| 2
| Rare
| Neutral
| 2
|
|
| Spellzerker
| 2
| Common
| Neutral
| 2
|
|
| Spirit of the Bat
| 2
| Rare
| Warlock
| 2
|
|
| Spirit of the Dragonhawk
| 2
| Rare
| Mage
| 2
|
|
| Stolen Steel
| 2
| Common
| Rogue
| 2
|
|
| Waterboy
| 2
| Rare
| Neutral
| 2
|
|
| Banana Buffoon
| 3
| Common
| Neutral
| 2
| 1
|
| Bloodscalp Strategist
| 3
| Rare
| Hunter
| 2
|
|
| Bog Slosher
| 3
| Rare
| Shaman
| 2
|
|
| Haunting Visions
| 3
| Epic
| Shaman
| 1
|
|
| Masked Contender
| 3
| Epic
| Neutral
| 1
|
|
| Ornery Tortoise
| 3
| Common
| Neutral
| 2
|
|
| Overlord's Whip
| 3
| Common
| Warrior
| 2
| 1
|
| Pyromaniac
| 3
| Rare
| Mage
| 2
|
|
| Raiding Party
| 3
| Rare
| Rogue
| 2
|
|
| Reckless Diretroll
| 3
| Common
| Warlock
| 2
|
|
| Sand Drudge
| 3
| Common
| Priest
| 2
| 1
|
| Smolderthorn Lancer
| 3
| Epic
| Warrior
| 2
|
|
| Spirit of the Frog
| 3
| Rare
| Shaman
| 2
|
|
| Spirit of the Lynx
| 3
| Rare
| Hunter
| 2
|
|
| Surrender to Madness
| 3
| Epic
| Priest
| 1
|
|
| Time Out!
| 3
| Common
| Paladin
| 2
|
|
| Zentimo
| 3
| Legendary
| Shaman
| 1
|
|
| Arena Fanatic
| 4
| Common
| Neutral
| 2
|
|
| Arena Treasure Chest
| 4
| Common
| Neutral
| 2
|
|
| Half-Time Scavenger
| 4
| Common
| Neutral
| 2
|
|
| Ice Cream Peddler
| 4
| Epic
| Neutral
| 1
|
|
| Mark of the Loa
| 4
| Rare
| Druid
| 2
| 1
|
| Murloc Tastyfin
| 4
| Rare
| Neutral
| 2
|
|
| Predatory Instincts
| 4
| Rare
| Druid
| 2
|
|
| Regeneratin' Thug
| 4
| Common
| Neutral
| 2
|
|
| Rumbletusk Shaker
| 4
| Common
| Neutral
| 2
|
|
| Scorch
| 4
| Rare
| Mage
| 2
|
|
| Spirit of the Shark
| 4
| Rare
| Rogue
| 2
| 1
|
| Spirit of the Tiger
| 4
| Rare
| Paladin
| 2
|
|
| Ticket Scalper
| 4
| Common
| Neutral
| 2
|
|
| Walk the Plank
| 4
| Common
| Rogue
| 2
|
|
| War Master Voone
| 4
| Legendary
| Warrior
| 1
|
|
| Zandalari Templar
| 4
| Rare
| Paladin
| 2
|
|
| Arena Patron
| 5
| Rare
| Neutral
| 2
|
|
| Baited Arrow
| 5
| Common
| Hunter
| 2
|
|
| Blast Wave
| 5
| Epic
| Mage
| 2
|
|
| Dragonmaw Scorcher
| 5
| Common
| Neutral
| 2
| 1
|
| Emberscale Drake
| 5
| Rare
| Warrior
| 2
|
|
| Farraki Battleaxe
| 5
| Rare
| Paladin
| 2
|
|
| Former Champ
| 5
| Common
| Neutral
| 2
| 2
|
| Gral, the Shark
| 5
| Legendary
| Rogue
| 1
|
|
| Mass Hysteria
| 5
| Rare
| Priest
| 2
|
|
| Mosh'Ogg Announcer
| 5
| Epic
| Neutral
| 2
|
|
| Sightless Ranger
| 5
| Common
| Neutral
| 2
|
|
| Arcanosaur
| 6
| Common
| Mage
| 2
| 2
|
| Heavy Metal!
| 6
| Rare
| Warrior
| 2
|
|
| Krag'wa, the Frog
| 6
| Legendary
| Shaman
| 1
|
|
| Rain of Toads
| 6
| Common
| Shaman
| 2
|
|
| Soulwarden
| 6
| Epic
| Warlock
| 1
|
|
| Stampeding Roar
| 6
| Epic
| Druid
| 1
|
|
| Sul'thraze
| 6
| Epic
| Warrior
| 2
|
|
| Amani War Bear
| 7
| Common
| Neutral
| 2
|
|
| Blood Troll Sapper
| 7
| Common
| Warlock
| 2
| 1
|
| Gurubashi Hypemon
| 7
| Epic
| Rogue
| 2
|
|
| Ironhide Direhorn
| 7
| Common
| Druid
| 2
|
|
| Jan'alai, the Dragonhawk
| 7
| Legendary
| Mage
| 1
|
|
| Linecracker
| 7
| Epic
| Neutral
| 1
|
|
| Rabble Bouncer
| 7
| Common
| Neutral
| 2
| 1
|
| Demonbolt
| 8
| Common
| Warlock
| 2
|
|
| Hir'eek, the Bat
| 8
| Legendary
| Warlock
| 1
|
|
| Mosh'Ogg Enforcer
| 8
| Common
| Neutral
| 2
|
|
| Void Contract
| 8
| Epic
| Warlock
| 1
|
|
| Grave Horror
| 12
| Rare
| Priest
| 2
|
|


Corretto Dee Why is our little neighbourhood eatery & cocktail bar.
Our goal from early on was to become a little social hub as we open 7am daily and trade through til 12am.
With a space designed to bring people together, the coronavirus shattered this, so we've adopted a new model, bringing togetherness to people's houses through shared style of take away drinks and food.
We still operate Wednesday to Sunday for lunch/dinner and trade for coffee & toasties daily from 7am.
Perfect beach swag
Worst thing about a cup? You can't keep it. PROBLEM SOLVED KIDS.
Swoontastic tees
Winter vibez
Cosy AF