Police to carry out underwater search at River Trent for missing Newark man
He was reported missing on November 18
by Phoebe RamAn underwater search of the River Trent is due to start as part of an investigation to find a missing man not seen for more than two weeks.
Police say they are "growing increasingly concerned" for the welfare of 27-year old Michal Krysztofcyzk after he was reported missing from Cross Street, Newark, on Monday, November 18.
It is not known exactly when he was last seen but it is likely to have been around Saturday, November 9.
Specialist underwater teams are due to start searches of the River Trent between North Muskham and the Newark A46 flyover on Monday 25 and Tuesday, November 26.
This will depend on the strength of the current and the weather conditions.
Officers will be supported by volunteers from the Nottinghamshire Search and Rescue Team (NSART) who will be combing nearby river banks while the underwater searches are taking place.
Sergeant Ian Birkin from Nottinghamshire Police’s Missing from Home team, said: “Our officers have real concerns for Michal, who we have had very few sightings of since he was reported missing to us.
“The searches of the river are being carried out as a precaution and we have been in close contact with Michal’s family to support them and ensure they are aware of our activity during what must be a heart-breaking time for them.
“I would urge anyone with any information about Michal – no matter how insignificant they think it may seem – to contact Nottinghamshire Police as soon as possible.”
Michal is described as white, slim and bald. Michal is a Polish national who has previously suffered burns which has left him with distinctive scarring to his face, ears, and hands.
It is not known what Michal was wearing when he was last seen.
Anyone who has seen Michal since Monday, November 9 is asked to call Nottinghamshire Police as soon as possible on 101, quoting incident number 350 of 18 November.
With the General Election approaching we want to give you all the results and reactions as they happen. Join our new WhatsApp service to receive breaking news alerts throughout the night by texting ELECTION to<PHONE_NUMBER>2. The first messages will go out December 12 after polls close.


Order Status Tracker
Welcome to the Order Status Tracker. You can use this form to complete user registration.


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Job Sheet
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These instructions are provided for those who need to install a version of SML/NJ that does not include an installer program (i.e. a self-installing .exe), or who need to recompile the runtime system, the SML/NJ compiler, or other tools provided with the SML/NJ distribution.
NOTE: These instructions apply to Windows NT and Windows 2000. The build process will not currently work under Windows 9X because of differences in the syntax accepted by the MSDOS command prompt.Required tools
To unpack the distribution, you will need the Windows versions of the "GNU unzip" (gunzip) and "tape archive" (tar) utilities. These are freely available from ftp.cs.washington.edu:/pub/ntemacs/utilities. They are also included in common Unix-on-Windows systems like MKS Toolkit and UWIN.
Running the windows install.sh script or building manually requires a Unix shell (ksh preferred) and other common Unix tools (sed, grep). We use MKS Toolkit to provide these facilites, although other ksh based toolkits should work directly as well; e.g. UWIN.
Compiling the runtime system requires the following tools:
- MS Visual C++, 2.0 or later (we used 6.0)
- MS Assembler (MASM), 6.11 or later
- MS NMAKE (part of VC++), 1.50 or later
It should not be difficult to adapt the source code to build with other compilers, assemblers, and "make" utilities (see src\runtime\objs\makefile.win32 and src\runtime\objs\mk.x86-win32).
Installing using configwin/install.sh
Fetch the tarball windows.tar.Z from [location to be determined].
This package contains a configwin directory with a modified install.sh script for building the compiler. You will also need the files
runtime.tar.Z http bin.x86-win32.tar.Z http smlnj-lib.tar.Z http ml-lex.tar.Z http ml-yacc.tar.Z http ml-burg.tar.Z http cml.tar.Z http Unpack the windows.tar.Z package by running
zcat windows.tar.Z | tar xvf -This will produce a directory named "windows" containing subdirectories doc, configwin, and is-gen. Move the configwin directory in which you want to install SML, along with the tarballs listed above. Then from a Unix shell, run configwin/install.sh.The windows/doc directory contains detailed instructions for building and installing SML/NJ manually (doc/WIN32-BUILD). The is-gen directory contains code for a utility that is used to build an InstallShield project from the installation created by configwin/install.sh.


About
This page is used as a database frontend for the measured data at the agro-environmental
research facilities of the Justus-Liebig University Giessen.
Data usage
The database contains raw and unpublished data,
any usage beyond pure curiosity, especially the publication of data and derived products is not allowed without prior permission.
ODMF
This site is built using ODMF (Observatory data management framework) an
open source data management system for field observatories to collect, manage
and share quantitative measurements in the open environment
Development
Bug reports, enhancement proposals, etc can be posted here:
ODMF on GitHub


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/mul.20and.20add.20type.20class.20hierarchies.html ---
I'm curious why we have two nearly duplicate type class hierarchies – multiplicative and additive – in Lean. It seems like it would be better to have the type classes be parameterized by the binary operator instead of inheriting the operator. I suppose there are technical/practical problems here which led to the current design.
Yes. You are right. I'll search for the discussion. 1 sec
@Sean Leather :up:
Also https://github.com/leanprover/lean/wiki/Refactoring-structures
Also https://github.com/leanprover/lean/wiki/Refactoring-structures
I've tried to read that before and my eyes glazed over every time.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Man United starlet Mason Greenwood reveals his footballing idol
Mason Greenwood explains why he has always looked up to Man United legend Wayne Rooney
by The Sport Review staffMason Greenwood has revealed that he always looked up to Manchester United striker Wayne Rooney as a young boy.
Greenwood has broken into the first team at Old Trafford at a young age just like Rooney, with the 18-year-old having featured nine times in the Premier League so far this season.
The teenager will now be hoping to hold down more of a regular spot in Ole Gunnar Solskjaer’s first team, with the young forward yet to start a Premier League game this term.
Rooney is Manchester United’s all-time leading goal-scorer and Greenwood has now opened up about how he used to idolise the former Everton striker.
Speaking in an interview with Manchester United’s website, Greenwood said: “I’ve always looked up to Wayne Rooney.
“He’s the leading goal-scorer and was always scoring goals and always being the man for the team so I was looking up to him.”
Asked what was it about Rooney’s game that most impressed him, he added: ”Just his shots really! He would shoot from anywhere, wouldn’t he? He can score from any angle or any distance and he’s been great.”
Greenwood will be hoping to feature for the Red Devils when they return to Premier League action on Sunday afternoon with a trip to Sheffield United.
Manchester United are currently in seventh place in the Premier League table as they look to try and break back into the top four this season.
They finished sixth and without a trophy under Solskjaer last season after he was brought in as Jose Mourinho’s replacement back in December 2018.


The way I often describe research to my non-research friends is by an uncessarily violent metaphor. I find research to be like head bashing a wall over and over till you find a way to break it and then repeating it ad nauseam. Sometimes you’ll know where the cracks in the wall are, and sometime you’ll know what angle you need to hit the wall with your head, but fundamentally, you’re hitting your head into a wall.
This might not be a precise description of how research works for everyone, but my views are shaped by my experience at research and other researchers who surround me. The single most important take away I’ve learned from these is to expect failure and to work hard regardless. These two things are not always easy to do.
To illustrate my viewpoint, and to demonstrate how I became such a tortured soul, here’s a run down of my experience as an undergraduate researcher:
Spring 2016
I reached out a my undergraduate advisor in my first semester after being fascinated with scheme 1. After some back and forth, I quickly started a project. The project was to build a formal semantics for bash scripts. The bash specification is large and complicated with a lot of subtle interactions. The particular phase we were interested in formalizing were the bash shell expansions. We tried to build a Hoare logic style semantics for the expansion, because we wanted to ultimately verify properties of these shell scripts. Unfortunately, I showed that such a semantics becomes super complicated and we abandoned the project 2. A few weeks into research and I had already failed a project.
Summer 2016
I came back for the summer and started working on a new, and slightly related project. The idea was to extend previous work on verifying Puppet manifests to capture the semantics of snippets of shell programs people write into their Puppet manifests. The previous work had modeled Puppet programs using a small core calculus based on a Kleene Algebra with Tests (KAT) and we wanted to create an active learning mechanism to learn the underlying automaton by running the shell script in a docker container.
Unfortunately, I didn’t have a lot of background in either automata theory or the low level details of system call tracing (which was the core mechanism to figure out what system calls were being used). I spent half of the summer jumping back and forth between learning about automata theory and systems and implementing papers without much to show for it. While I didn’t know this at the time, this project also fizzled out around this time.
The reason the project fizzled out was because I joined another students project that had to do with automatically synthesizing updates for Puppet manifests by capturing system calls 3. I worked on this project for the rest of the summer.
Fall 2016
As the summer ended, my advisor proposed joining Fission, another project that I had been interested in from the start of my summer. This project aimed to build a single-tiered, secure programming model for writing web applications. People on the project had built a frontend that could take JavaScript code and compile it into something that could enforce the various security conditions. Around the same time, the Puppet synthesis project slowed down because the first author was applying to graduate schools and I was focusing more on Fission. Eventually, I stopped working on this project entirely and even though it was eventually published.
To cap off the depressing string of half completed projects, it was around this time I actually had minor clinical depression and my productivity collapsed. After attending ICFP ‘16 I decided to start therapy to “fix” my clinical depression 4.
Meanwhile, we also published a workshop paper on Fission. Unfortunately, after several rewrites of the compiler, people leaving the project, and fundamental performance issues, it was becoming painfully clear that Fission would not pan out.
If you’re not keeping track, it’s 3⁄3 for failed projects.
Spring 2017
While making slow progress on Fission, my advisor asked a new question, “What would it take to build a client-side IDE?“. In order to build this IDE, we started investigating different compiler frameworks for JavaScript. We built several passes to simplify JavaScript constructs and around the same time, another graduate student joined the project. This spring was perhaps the most productive semester of my undergraduate research career. I had gained enough technical and programming chops to push on the project without hands-on support.
Afterward
I kept pushing on this project with the grad student and published a paper in PLDI ‘18. I also applied to graduate schools and decided to start my PhD at Cornell.
In hindsight, there are several important things I came to appreciate about my undergraduate research:
While I mostly failed for more than a year, I learned a lot. The finite model theory I learned in my first summer is seeing use in my current research. The amount of implementation work I did has allowed me to become good at rapid prototyping for new ideas 5.
The infectious optimism of my advisor was the single most important thing that kept me going through all the failures. In hindsight, perhaps the most important piece of advice he gave me was, “You’ll figure it out!”
Another thing I learned from my advisor was that sticking to a research agenda, even when things look absymal, is the way to make progress.
Finally, I learned that researchers are completely unproductive when they’re sad. Concretely, this means that I shy away from projects where I’m the only student. Surrounding myself with people I like to work with and can bounce ideas with is how I make most of my progress.
The way I recently summarized these ideas to a friend was that research sometimes requires a religious amount of faith and hard work before you can actually see any progress.
Have comments? Email me or tweet at me.
- Yes, I am a walking PL cliché. ↩
- Michael Greenberg, one of our collaborators continued working on this and has come up with some nice results. ↩
- This eventually became a paper. ↩
- Researchers are people who sometimes work extraordinarily hard at the expense of their own health. It is important to realize that your work is significantly less important that your health. ↩
- Differently put, it made me a 1337 h4x0r. ↩


1. Bhaktapur
2. Halesi
3. Kalinchok
4. Patan
Visit Aim 1. To gain knowledge about historical things and Enjoy natural Environment


--- title: "Conservation Research" layout: "default" ---
Our work focuses on the flora of the Intermountain West, with a particular focus on two ecoregions in Utah - the Colorado Plateau and the Great Basin. The majority of our projects occur within Utah, although we do occasionally venture into neighboring states.
Project: Monitoring Pollinator Activity with Rana
Duration: Ongoing
Summary: We are using a new automated motion-capture technology called Rana to track and record pollinator activity on selected native plant species. This project will allow us to determine the diversity and frequency of insect visits on certain types of flowers, and help answer important questions about pollinator services and "pollinator-friendly" plants in Utah. We have used Rana cameras for studies at the Rio Mesa Center outside of Moab, UT, in areas surrounding St. George, UT, as well as in the Natural Area and Children's Garden here at Red Butte Garden, and recorded visits of many different kinds of native bees, butterflies, and even hummingbirds. To watch a video of pollinators visiting flowers at Red Butte Garden, Click Here!
Project: Seeds of Success (SOS)
Partners: BLM and Colorado Plateau Native Plant Program (CPNPP)
Duration: Ongoing
Summary: Each year we survey an ecological region for abundant, native plants from which seed can be collected. In 2015, we completed nearly 30 collections totaling 1.2 million seeds from 14 native Great Basin plant species. Seeds are stored at the Bend Seed Extractory for future use in habitat restoration and rehabilitation. Herbarium specimens are also collected, which are divvied up between Red Butte Garden, the University of Utah, Brigham Young University, and the Smithsonian Institute. Click here for photo highlights from past SOS Collection years!
Project: Blackrock Gypsum Vegetation Surveys and Rehabilitation Analysis
Partners: BLM, U.S. Fish and Wildlife Service, and Blackrock Gypsum
Duration: Completed in 2015
Summary: We surveyed habitat surrounding the Endangered Gierisch's globemallow (Sphaeralcea gierischii) population in Arizona to piece together the rehabilitation history of post-gypsum mining landforms. We compared vegetation structure and composition between rehab and adjacent undisturbed control sites to examine the effects of past practices, seed mixes and the gypsum-rich substrate on the success of restoration in this area.
Project: Rare and endangered seed collection for ex-situ conservation, a.k.a. seed banking
Partner: BLM and Center for Plant Conservation (CPC)
Duration: Ongoing
Summary: Seed banking is a long-term method for conserving the diversity of plant species. Seeds of rare, threatened and endangered plants are collected and stored with low moisture content at low temperatures, thereby extending their lifespan. These collections preserve genetic material away from the threat of habitat destruction. We store a portion of seed in our on-site seed bank; another portion is sent to the National Center for Genetic Resources Preservation in Fort Collins, CO.
Project: Germination and Propagation Trials
Partner: BLM and Center for Plant Conservation (CPC)
Duration: Ongoing
Summary: At the garden, we are currently testing seeds from our seed bank in order to develop the best protocols for germinating rare plant species. Once seeds have germinated, we maintain them in our greenhouses and track their growth each month in order to pinpoint the best methods for propagation. Many of the species we work with require very specific conditions for growth, and by sustaining these species in our greenhouses, we can determine the feasibility of growing seedlings for future outplanting and restoration studies. Learn more about our current trials here!
Project: Sphaeralcea gierischii (Gierisch's globemallow) propagation and reintroduction
Plant Status: Listed Endangered
Threats: Gypsum mining and off-road vehicle recreation
Partner: BLM, U.S. Fish and Wildlife Service
Duration: Completed in 2015
Summary: We conducted in-situ germination studies at a trial reintroduction site to assess the feasibility of reintroducing this species to rehabilitated mining substrates from seed. We monitored seedling establishment and tracked seedling survivorship from 2013-2015 on study sites in Arizona. We also collected seed for long-term ex-situ conservation and developed greenhouse propagation protocols. This species was listed as endangered in 2013, a decision that was informed by our data.
Project: Penstemon grahamii (Graham’s beardtongue) and Penstemon scariosus var. albifluvis (White River beardtongue) long-term demographic and population monitoring
Threats: Oil and gas exploration, tar sand and oil shale mining, off-road vehicle use, and grazing. All threats are exacerbated by small population sizes and limited distribution.
Partner: BLM
Duration: Initiated in 2004, completed in 2015
Summary: Over the ten consecutive years of this monitoring project, we have collected demographic and population trend data from these species to inform management decisions. The project has grown to include propagation studies, ex-situ care of living specimens, and seed collection for ex-situ conservation.
Biodiversity is the number of different species of plants and animals found within a particular region, or ecosystem. The more diverse an ecosystem, meaning the more plants, animals, insects, and bacteria living within it, the healthier it is. A diverse ecosystem has more resources to draw on that allow it to bounce back from disturbances, adapt to long-term changes, and support the communities within it, wild or cultivated.
While biodiversity is critical for the sake of the environment in and of itself, there are a number of reasons biodiversity should matter to our species. To focus just on plant diversity: plants provide us with key ingredients and products that feed us, shelter us, keep us healthy, and fuel our economy. To destroy a species, actively or unknowingly, is to destroy its potential for tomorrow and for generations to come. Read "Why Diversity Matters" from NatureServe.
We are stewards of the at-risk plants in our region, and protecting them is a key component of Red Butte Garden’s mission. We hope to mitigate threats and preserve genetic information so that rare populations may recover in their native habitats, thereby conserving the diversity of our native flora.
In-situ conservation is work that is done on site, in the area where the plant naturally grows. We collect plant samples and seeds to study later, monitor populations, transplant endangered species out of harm’s way, and re-vegetate with seeds or seedlings in their native habitats.
Ex-situ conservation is work that is done off site, at our garden facility or other facilities around the West. This work involves storing seeds in seed banks to preserve the genetic material, testing seed germination and viability to better understand how to propagate a species, and caring for living specimens that have been propagated or salvaged from project sites.
Your time and experience are valuable to us. Whether you’re a novice naturalist or a committed conservationist, we can use your help! If you’re interested in volunteering in Conservation or anywhere else at Red Butte Garden, contact our Volunteer Coordinator, Lauren Miller, or check out the Volunteer Opportunities page.
Franny Johnson, Volunteer Coordinator
Email<EMAIL_ADDRESS>Volunteers help with a wide variety of projects, many of which are seasonal. They include plant surveying and seed collection; cleaning, sorting, and banking seeds; rare plant curation and propagation; and general greenhouse and office help. Training in the field is provided. Volunteers must be 18 years or older.
Your land, however small, can be an important piece of habitat for native plants, pollinators, and other wildlife. As our cities expand outward, eating up true native habitats, these oases become critical to support native populations.
Utah’s Noxious Weed List from the Utah Weed Control Association
We can’t do it without your support. Making a donation to the Garden supports our efforts to protect and restore threatened plant communities throughout Utah.
Red Butte Garden Conservation Efforts at The University of Utah Read the article
Rare and Endangered Cacti:
February 2016, "Busting Cactus Smugglers in the American West" from The Atlantic.
Holmgren's milkvetch (Astragalus holmgreniorum):
February 2016, researchers from Utah Valley University and the U.S. Forest Service installed seeds of this Endangered Species along the Utah/Arizona state line. Read the article and watch the video from The Spectrum here
Graham’s beardtongue (Penstemon grahamii) and White River beardtongue (Penstemon scariosus var. albifluvis):
August 2014, the U.S. Fish and Wildlife Service withdrew their proposal to list Graham’s beardtongue and White River beardtongue under the Endangered Species Act. A conservation agreement has been finalized between county, state and federal partners to reduce threats and promote the long-term persistence of these two species across their ranges in the Uinta Basin of Utah and Colorado.
For more information, please visit:
U.S. Fish and Wildlife Service Penstemon Webpage
Copy of the Final Conservation Agreement
Local Penstemon News Articles:
Gierisch’s globemallow (Sphaeralcea gierischii):


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f=SEGMENTFILTER(segments)
f=SEGMENTFILTER(segments) returns a function that will filter its inputs for values that are within the segments specified.


--- title: Local BLAST from R author: Gergo Palfalvi date: '2017-03-09' categories: - primeR - shiny tags: - R - Shiny - bioinformatics - blast slug: local-blast-from-r summary: In the [previous post](https://palfalvi.github.io/post/shiny-website-for-primer-documentation/) I discussed a bigger project, now let's see a smaller part of it, learn how to control local BLAST search from R and get back the information from it for further processing. ---
In the previous post I discussed a bigger project, now let’s see a smaller part of it. BLAST (or Basic Local Alignment Search Tool) is defined on its webpage as:
{{% alert note %}} BLAST finds regions of similarity between biological sequences. The program compares nucleotide or protein sequences to sequence databases and calculates the statistical significance. {{% /alert %}}
Most of the cases it is used for finding similar sequences (~genes) from other, well-annotated, online available organisms and in this case the web interface is perfect. However if we want to use for more heavy jobs or with custom databases, then there is an option to download executable and run in a local machine (or on a server of course). In our case the database will be built from the primers, which is only available locally, so we need to use this option. If you want to download follow the instructions here.
{{% alert note %}} There is a also an NCBI C++ toolkit, which contains a web BLAST API we could access through Rcpp, but in that case we could only use the online available databases, which is not our purpose here. {{% /alert %}}
As we installed we have access through /path/to/blast/ncbi-blast-2.6.0+/bin/blastn
for blastn (nucleotide BLAST). It is nice, but what we want is to control from R. If someone submit a sequence in the Shiny interface, that is sent to BLAST on the system, then the result come back to R. Fortunately in R there are some command for this, namely system()
and system2()
.
The differences between the two generally is how to give the command line arguments. In system()
, you insert one string as you would do in a Unix-alike shell. In system2()
the command
argument holds only the command name you wish to run and the arg
argument contains a character vector of the command’s argument. Let me show in an example where you would like to run:
> /path/to/blast/ncbi-blast-2.6.0+/bin/blastn -db blast_database -query input.fasta -outfmt 6 -evalue 1e-6 -ungapped
In R it looks like these.
system(command = "/path/to/blast/ncbi-blast-2.6.0+/bin/blastn -db blast_database -query input.fasta -outfmt 6 -evalue 1e-6 -ungapped")
system2(command = "/path/to/blast/ncbi-blast-2.6.0+/bin/blastn",
args = c("-db blast_database -query input.fasta -outfmt 6 -evalue 10e-6 -ungapped"))
The good point in system2()
is the possibility we can more easily manipulate the arguments (and the connection is also better).
blastn = "/path/to/blast/ncbi-blast-2.6.0+/bin/blastn"
blast_db = "blast_database"
input = "input_file"
evalue = 1e-6
format = 6
system2(command = blastn,
args = c("-db", blast_db,
"-query", input,
"-outfmt", format,
"-evalue", evalue,
"-ungapped"))
It is very promising so far, but we need to capture the output in R. For this we have to use wait = TRUE
. Then R will wait until this process is finished, not just send out the task and go on the next line. also set the stdout
(standard output) to capture the result as a character vector, otherwise it is sent to the R console. Let’s capture this in the blast_out
object.
blast_out <- system2(command = blastn,
args = c("-db", blast_db,
"-query", input,
"-outfmt", format,
"-evalue", evalue,
"-ungapped"),
wait = TRUE,
stdout = TRUE)
So far so good, but if you look in the blast_out
object, it should look like something like this:
[1] "Homo_Lin28A\tENST00000254231.4\t100.00\t207\t0\t0\t1\t207\t121\t327\t2e-110\t 398"
[2] "Homo_Lin28A\tENST00000326279.10\t100.00\t207\t0\t0\t1\t207\t121\t327\t2e-110\t 398"
It is not exactly what we wanted. We would like to have some kind of data frame, but as you can see the output is literally a tabular formatted output captured in a character vector. But no worries, we have some tricks here.
The textConnection
function needs an input text, then it is copied to create a connection object. For detailed information write ?textConnection
. From this connection we can use read.table()
to create a data frame.
blast_out <- read.table(textConnection(blast_out))
And we have a data frame with the blast output.
{{% alert warning %}} Surprisingly the readr
package (e.g. read_tsv()
) cannot read from this connection due to its non-binary state. (Or at least I could not figure out how.) {{% /alert %}}
If we want to work and stay in the tidyverse and create a tibble, there are two options. The first is to follow the codes above and use as_tibble()
or from the original blast_out
character vector proceed with as_tibble()
and separate()
based on the \t
.
library(tidyverse)
tidy_blast <- blast_out %>%
textConnection() %>%
read.table() %>%
as_tibble()
Or (Personally I like this the best)
colnames <- c("qseqid",
"sseqid",
"pident",
"length",
"mismatch",
"gapopen",
"qstart",
"qend",
"sstart",
"send",
"evalue",
"bitscore")
tidy_blast <- blast_out %>%
as_tibble() %>%
separate(col = value,
into = colnames,
sep = "\t",
convert = TRUE)
Great, now we have a nice data frame/tibble with all the blast outputs we can process, manipulate, plot, etc all in R.
tidy_blast
## # A tibble: 2 × 12
## qseqid sseqid pident length mismatch gapopen qstart
## * <chr> <chr> <dbl> <int> <int> <int> <int>
## 1 Homo_Lin28A HomoENST00000254231.4 100 207 0 0 1
## 2 Homo_Lin28A HomoENST00000326279.10 100 207 0 0 1
## # ... with 5 more variables: qend <int>, sstart <int>, send <int>,
## # evalue <dbl>, bitscore <int>
Put together all and we will got this, without any intermediate object.
blastn = "/path/to/blast/ncbi-blast-2.6.0+/bin/blastn"
blast_db = "blast_database"
input = "input_file"
evalue = 1e-6
format = 6
colnames <- c("qseqid",
"sseqid",
"pident",
"length",
"mismatch",
"gapopen",
"qstart",
"qend",
"sstart",
"send",
"evalue",
"bitscore")
blast_out <- system2(command = "blastn",
args = c("-db", blast_db,
"-query", input,
"-outfmt", format,
"-evalue", evalue,
"-ungapped"),
wait = TRUE,
stdout = TRUE) %>%
as_tibble() %>%
separate(col = value,
into = colnames,
sep = "\t",
convert = TRUE)
From here we can put all of these in a function, even extend the blast options on your wish and use in our everyday analysis or as me, put this on a Shiny website with some extra feature we will discuss later on. In the next post I plan to continue on the visualization of the blast output.


HELLO,
I'M OGUNBADE OLUWAJOMILOJU DORCAS
A student of kwara state university studying computer science of which i determine to be a PROGRAMMER,WEB DEVELOPER & A GRAPHIX DESIGNER after my degree.
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{% load i18n %}
{% comment %}Translators: This email will be sent only once to users to notify them that the terms of service have changed.{% endcomment %} {% blocktranslate trimmed %}Hi,
You are receiving this email because you have an account with The Wikipedia Library (https://wikipedialibrary.wmflabs.org/). We are emailing to notify you that we have updated the text of our Terms of Use.
We have updated the wording of the Terms of Use primarily to make a small change to who is eligible to use the library. Alongside the recent deployment of a new user interface (https://meta.wikimedia.org/wiki/Library_Card_platform/Design_improvements), we are going to be enforcing eligibility requirements for the library more consistently. Users who don’t quite meet the requirements will no longer be able to file applications for access to collections and must wait until they meet the criteria in full before they can use the library. We hope this change will make access more consistent, and reduce the workload generated by applications from editors who are far below the activity requirements.
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Panorama Startup
Panorama is a disguised version of WebCT's Vista application. Vista is a truly massive web application, consisting of thousands of Java classes and JSPs and hundreds of EJBs. Vista is organized as a large number of somewhat interrelated tools with an underlying substrate of services. In fact, HiveMind was originally created to manage the complexity of Vista.
With all these interrelated tools and services, the simple act of starting up the application was complex. Many tools and services have startup operations, things that need to occur when the application first starts up within the application server. For example, the help service reads and caches help text stored within the database. The mail service creates periodic jobs to peform database garbage collection of deleted mail items. All told, Vista had over 40 different tasks to perform at startup ... many with subtle dependencies (such as the mail tool needing the job scheduler service to be up and running).
The legacy version of Vista startup consisted of a WebLogic startup class that invoked a central stateless session EJB. The startup EJB was responsible for performing all 40+ startup tasks ... typically by invoking a public static method of a class related to the tool.
This was problematic for several reasons. It created a dependency on WebLogic to manage startup (really, a minor consideration, but one nonetheless). More importantly, it created an unnecessary binding between the startup EJB and all the other code in all the other tools. These unwanted dependencies created ripple effects throughout the code base that impacted refactored efforts, and caused deployment problems that complicated the build (requiring the duplication of many common classes inside the startup EJB's JAR, to resolve runtime classloader dependencies).
Enter HiveMind
HiveMind's ultimate purpose was to simplify all aspects of Vista development and create a simpler, faster, more robust development environment. The first step on this journey, a trial step, was to rationalize the startup process.
Each startup task would be given a unique id, a title and a set of dependencies (on other tasks). How the task actually operated was left quite abstract ... with careful support for supporting the existing legacy approach (public static methods). What would change would be how these tasks were executed.
The advantage of HiveMind is that each module can contribute as many or as few startup tasks as necessary into the Startup configuration point as needed. This allows the startup logic to be properly encapsulated in the module. The startup logic can be easily changed without affecting other modules, and without having to change any single contentious resource (such as the legacy approach's startup EJB).
Startup task schema
The schema for startup tasks contributions must support the explicit ordering of execution based on dependencies. With HiveMind, there's no telling in what order modules will be processed, and so no telling in what order contributions will appear within a configuration point ... so it is necessary to make ordering explicit by giving each task a unique id, and listing dependencies (the ids of tasks that must precede, or must follow, any single task).
Special consideration was given to supporting legacy startup code in the tools and services; code that stays in the form of a public static method. As HiveMind is adopted, these static methods will go away, and be replaced with either HiveMind services, or simple objects. In the very long term, much of this startup logic will become uncessary, as more of the system will be implemented using HiveMind services, which will lazily initialize just as needed.
The schema definition (with desriptions removed, for compactness) follows:
<schema id="Tasks"> <element name="task"> <attribute name="title" required="true"/> <attribute name="id" required="true"/> <attribute name="before"/> <attribute name="after"/> <attribute name="executable" required="true" translator="object"/> <conversion class="impl.Task"/> </element> <element name="static-task"> <attribute name="title" required="true"/> <attribute name="id" required="true"/> <attribute name="before"/> <attribute name="after"/> <attribute name="class" translator="class" required="true"/> <attribute name="method"/> <rules> <create-object class="impl.Task"/> <invoke-parent method="addElement"/> <read-attribute attribute="id" property="id"/> <read-attribute attribute="title" property="title"/> <read-attribute attribute="before" property="before"/> <read-attribute attribute="after" property="after"/> <create-object class="impl.ExecuteStatic"/> <invoke-parent method="setExecutable"/> <read-attribute attribute="class" property="targetClass"/> <read-attribute attribute="method" property="methodName"/> </rules> </element> </schema>
This schema supports contributions in two formats. The first format allows an arbitrary object or service to be contributed:
<task id="mail" title="Mail" executable="service:MailStartup"/>
The executable attribute is converted into an object or service; here the service: prefix indicates that the rest of the string, MailStartup, is a service id (other prefixes are defined by the hivemind.ObjectProviders configuration). If this task has dependencies, the before and after attributes can be specified as well.
To support legacy code, a second option, static-task, is provided:
<static-task id="discussions" title="Discussions" after="mail" class="DiscussionsStartup"/>
The static-task element duplicates the id, title, before and after attributes, but replaces executable with class (the name of the class containing the method) and method (the name of the method to invoke, defaulting to "init").
Startup Service
The schema just defines what contributions look like and how they are converted to objects; we need to define a Startup configuration point using the schema, and a Startup service that uses the configuration point.
<configuration-point id="Startup" schema-id="Tasks"/> <service-point id="Startup" interface="java.lang.Runnable"> <invoke-factory> <construct class="impl.TaskExecutor"> <set-configuration property="tasks" configuration-id="Startup"/> </construct> </invoke-factory> </service-point> <contribution id="hivemind.Startup"> <startup object="service:Startup"/> </contribution>
The hivemind.Startup configuration point is used to ensure that the Panorama Startup service is executed when the Registry itself is constructed.
Implementation
All that remains is the implementations of the service and task classes.
Executable.java
// Copyright 2005 The Apache Software Foundation // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package org.apache.examples.panorama.startup; /** * Much like {@link java.lang.Runnable}, but allows the caller * to handle any exceptions thrown. * * @author Howard Lewis Ship */ public interface Executable { public void execute() throws Exception; }
The Executable interface is implemented by tasks, and by services or other objects that need to be executed. It throws Exception so that exception catching and reporting can be centralized inside the Startup service.
Task.java
// Copyright 2004, 2005 The Apache Software Foundation // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package org.apache.examples.panorama.startup.impl; import org.apache.hivemind.impl.BaseLocatable; import org.apache.examples.panorama.startup.Executable; /** * An operation that may be executed. A Task exists to wrap an * {@link org.apache.examples.panorama.startup.Executable} object with a title and ordering information (id, after, * before). * * @author Howard Lewis Ship */ public class Task extends BaseLocatable implements Executable { private String _id; private String _title; private String _after; private String _before; private Executable _executable; public String getBefore() { return _before; } public String getId() { return _id; } public String getAfter() { return _after; } public String getTitle() { return _title; } public void setExecutable(Executable executable) { _executable = executable; } public void setBefore(String string) { _before = string; } public void setId(String string) { _id = string; } public void setAfter(String string) { _after = string; } public void setTitle(String string) { _title = string; } /** * Delegates to the {@link #setExecutable(Executable) executable} object. */ public void execute() throws Exception { _executable.execute(); } }
The Task class is a wrapper around an Executable object; whether that's a service, some arbitrary object, or a StaticTask.
ExecuteStatic.java
// Copyright 2004, 2005 The Apache Software Foundation // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package org.apache.examples.panorama.startup.impl; import java.lang.reflect.Method; import org.apache.examples.panorama.startup.Executable; /** * Used to access the legacy startup code that is in the form * of a public static method (usually init()) on some * class. * * @author Howard Lewis Ship */ public class ExecuteStatic implements Executable { private String _methodName = "init"; private Class _targetClass; public void execute() throws Exception { Method m = _targetClass.getMethod(_methodName, null); m.invoke(null, null); } /** * Sets the name of the method to invoke; if not set, the default is init. * The target class must have a public static method with that name taking no * parameters. */ public void setMethodName(String string) { _methodName = string; } /** * Sets the class to invoke the method on. */ public void setTargetClass(Class targetClass) { _targetClass = targetClass; } }
ExecuteStatic uses Java reflection to invoke a public static method of a particular class.
TaskExecutor.java
// Copyright 2004, 2005 The Apache Software Foundation // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package org.apache.examples.panorama.startup.impl; import java.util.Iterator; import java.util.List; import org.apache.commons.logging.Log; import org.apache.hivemind.ErrorLog; import org.apache.hivemind.Messages; import org.apache.hivemind.order.Orderer; /** * A service that executes a series of {@link org.apache.examples.panorama.startup.impl.Task}s. Tasks have an * ordering based on pre- and post-requisites. * * @author Howard Lewis Ship */ public class TaskExecutor implements Runnable { private Log _log; private ErrorLog _errorLog; private List _tasks; private Messages _messages; /** * Orders the {@link #setTasks(List) tasks} into an execution order, and executes each in turn. * Logs the elapsed time, number of tasks, and the number of failures (if any). */ public void run() { long startTime = System.currentTimeMillis(); Orderer orderer = new Orderer(_errorLog, task()); Iterator i = _tasks.iterator(); while (i.hasNext()) { Task t = (Task) i.next(); orderer.add(t, t.getId(), t.getAfter(), t.getBefore()); } List orderedTasks = orderer.getOrderedObjects(); int failures = 0; i = orderedTasks.iterator(); while (i.hasNext()) { Task t = (Task) i.next(); if (!execute(t)) failures++; } long elapsedTime = System.currentTimeMillis() - startTime; if (failures == 0) _log.info(success(orderedTasks.size(), elapsedTime)); else _log.info(failure(failures, orderedTasks.size(), elapsedTime)); } /** * Execute a single task. * * @return true on success, false on failure */ private boolean execute(Task t) { _log.info(executingTask(t)); try { t.execute(); return true; } catch (Exception ex) { _errorLog.error(exceptionInTask(t, ex), t.getLocation(), ex); return false; } } private String task() { return _messages.getMessage("task"); } private String executingTask(Task t) { return _messages.format("executing-task", t.getTitle()); } private String exceptionInTask(Task t, Throwable cause) { return _messages.format("exception-in-task", t.getTitle(), cause); } private String success(int count, long elapsedTimeMillis) { return _messages.format("success", new Integer(count), new Long(elapsedTimeMillis)); } private String failure(int failureCount, int totalCount, long elapsedTimeMillis) { return _messages.format( "failure", new Integer(failureCount), new Integer(totalCount), new Long(elapsedTimeMillis)); } public void setLog(Log log) { _log = log; } public void setErrorLog(ErrorLog errorLog) { _errorLog = errorLog; } public void setMessages(Messages messages) { _messages = messages; } public void setTasks(List list) { _tasks = list; } }
This class is where it all comes together; it is the core service implementation for the panorama.startup.Startup service. It is constructed by the hivemind.BuilderFactory, which autowires the errorHandler, log and messages properties, as well as the tasks property (which is explicitly set in the module deployment descriptor).
Most of the run() method is concerned with ordering the contributed tasks into execution order and reporting the results.
Unit Testing
Unit testing in HiveMind is accomplished by acting like the container; that is, your code is responsible for instantiating the core service implementation and setting its properties. In many cases, you will set the properties to mock objects ... HiveMind uses EasyMock extensively, and provides a base class, HiveMindTestCase, that contains much support for creating Mock controls and objects.
TestTaskExcecutor.java
// Copyright 2005 The Apache Software Foundation // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package org.apache.examples.panorama.startup.impl; import java.util.ArrayList; import java.util.Collections; import java.util.List; import java.util.Locale; import org.apache.commons.logging.Log; import org.apache.examples.panorama.startup.Executable; import org.apache.examples.panorama.startup.impl.Task; import org.apache.examples.panorama.startup.impl.TaskExecutor; import org.apache.hivemind.ApplicationRuntimeException; import org.apache.hivemind.ErrorLog; import org.apache.hivemind.Messages; import org.apache.hivemind.Resource; import org.apache.hivemind.impl.MessageFinderImpl; import org.apache.hivemind.impl.ModuleMessages; import org.apache.hivemind.internal.MessageFinder; import org.apache.hivemind.service.ThreadLocale; import org.apache.hivemind.service.impl.ThreadLocaleImpl; import org.apache.hivemind.test.AggregateArgumentsMatcher; import org.apache.hivemind.test.ArgumentMatcher; import org.apache.hivemind.test.HiveMindTestCase; import org.apache.hivemind.test.RegexpMatcher; import org.apache.hivemind.test.TypeMatcher; import org.apache.hivemind.util.FileResource; import org.easymock.MockControl; /** * Tests for the {@link org.apache.examples.panorama.startup.impl.TaskExecutor} service. * * @author Howard Lewis Ship */ public class TestTaskExecutor extends HiveMindTestCase { private static List _tokens = new ArrayList(); protected void setUp() throws Exception { super.setUp(); _tokens.clear(); } protected void tearDown() throws Exception { super.tearDown(); _tokens.clear(); } public static void addToken(String token) { _tokens.add(token); } public Messages getMessages() { String projectRoot = System.getProperty("PROJECT_ROOT", "."); String path = projectRoot + "/examples/src/descriptor/META-INF/panorama.startup.xml"; Resource r = new FileResource(path); MessageFinder mf = new MessageFinderImpl(r); ThreadLocale tl = new ThreadLocaleImpl(Locale.getDefault()); return new ModuleMessages(mf, tl); } public void testSuccess() { ExecutableFixture f1 = new ExecutableFixture("f1"); Task t1 = new Task(); t1.setExecutable(f1); t1.setId("first"); t1.setAfter("second"); t1.setTitle("Fixture #1"); ExecutableFixture f2 = new ExecutableFixture("f2"); Task t2 = new Task(); t2.setExecutable(f2); t2.setId("second"); t2.setTitle("Fixture #2"); List tasks = new ArrayList(); tasks.add(t1); tasks.add(t2); MockControl logControl = newControl(Log.class); Log log = (Log) logControl.getMock(); TaskExecutor e = new TaskExecutor(); ErrorLog errorLog = (ErrorLog) newMock(ErrorLog.class); e.setErrorLog(errorLog); e.setLog(log); e.setMessages(getMessages()); e.setTasks(tasks); // Note the ordering; explicitly set, to check that ordering does // take place. log.info("Executing task Fixture #2."); log.info("Executing task Fixture #1."); log.info("Executed 2 tasks \\(in \\d+ milliseconds\\)\\."); logControl.setMatcher(new RegexpMatcher()); replayControls(); e.run(); assertListsEqual(new String[] { "f2", "f1" }, _tokens); verifyControls(); } public void testFailure() { Executable f = new Executable() { public void execute() throws Exception { throw new ApplicationRuntimeException("Failure!"); } }; Task t = new Task(); t.setExecutable(f); t.setId("failure"); t.setTitle("Failure"); List tasks = Collections.singletonList(t); MockControl logControl = newControl(Log.class); Log log = (Log) logControl.getMock(); MockControl errorLogControl = newControl(ErrorLog.class); ErrorLog errorLog = (ErrorLog) errorLogControl.getMock(); log.info("Executing task Failure."); errorLog.error( "Exception while executing task Failure: Failure!", null, new ApplicationRuntimeException("")); errorLogControl.setMatcher(new AggregateArgumentsMatcher(new ArgumentMatcher[] { null, null, new TypeMatcher() })); log.info("Executed one task with one failure \\(in \\d+ milliseconds\\)\\."); logControl.setMatcher(new AggregateArgumentsMatcher(new RegexpMatcher())); replayControls(); TaskExecutor e = new TaskExecutor(); e.setErrorLog(errorLog); e.setLog(log); e.setMessages(getMessages()); e.setTasks(tasks); e.run(); verifyControls(); } }
In this listing (which is a paired down version of the real class), you can see how mock objects, including EasyMock objects, are used. The ExecutableFixture classes will invoke the addToken() method; the point is to provide, in the tasks List, those fixtures wrapped in Task objects and see that they are invoked in the correct order.
We create a Mock Log object, and check that the correct messages are logged in the correct order. Once we have set the expectations for all the EasyMock controls, we invoke replayControls() and continue with our test. The verifyControls() method ensures that all mock objects have had all expected methods invoked on them.
That's just unit testing; you always want to supplement that with integration testing ... to ensure, at the very least, that your schema is valid, the conversion rules work, and the contributions are correct. However, as the code coverage report shows, you can reach very high levels of code coverage (and code confidence) using unit tests.


shrek bots default prefix or if the server admin or moderator changed it you would use the custom prefix for that server.
If you don't know what the prefix is for that server you can at shrek bot and it will give you the server prefix.
• @Shrek#0655 - if you ping the bot it will reply with a message saying what the prefix for that server is and the help command this is intended to be a simple way for users to know how to use the bot.
all of these commands will start with the
• help - this command will send an embed in the channel you sent that command with a list of all commands and a summary of how they work.
• about - this command will send an embed in the same channel that you sent that command containing information on the bot like the developers, nickname in the server if there is one, bot's uptime, bot's
ping and how to report errors if you encounter any.
• prefix - if you are a general member of the server you use this command in, it will send an embed saying what the prefix is. If you have the manage messages permission it will send you instructions on
how to change the prefix, this command will also work if you start your message by ating shrek bot this is incase you forget the bots prefix and need to change it.
• meme - this command will send an embed in the same channel that you sent the command containing a randomised meme from r/shrekmemes.
• quote - this command will send a message of a randomised shrek quote from the first shrek film in the same channel as you sent the command.
• coin - shrek will flip a coin and then send a message in the same channel as you executed the command with what you got, heads or tails.
• 8ball {question} - this will give a random answer just like a 8ball in the same channel that you execute the command.
• dice - shrek will roll a dice and then tell you what you rolled on the same channel as you executed the command.
• dance - sends a embed of a shrek dancing gif to the channel where you executed the command.
need help? join the support server.


The Pizza Parlor
Probably
the best pizza in town!
Step 1:
Choose your size.
Large
Larger
Step 2:
Select your toppings.
Cheez Whizz
Flamin' Hot Cheetos
Sour Cream
Submit My Order
Order Total:


The type matching rules for communication in MPI are not changed: the datatype specification for each item sent should match, in type signature, the datatype specification used to receive this item (unless one of the types is MPI_PACKED). Also, the type of a message item should match the type declaration for the corresponding communication buffer location, unless the type is MPI_BYTE or MPI_PACKED. Interlanguage communication is allowed if it complies with these rules.
Example
In the example below, a Fortran array is sent from Fortran and received in
C.
! FORTRAN CODE SUBROUTINE MYEXAMPLE() USE mpi_f08 REAL :: R(5) INTEGER :: IERR, MYRANK, AOBLEN(1) TYPE(MPI_Datatype) :: TYPE, AOTYPE(1) INTEGER (KIND=MPI_ADDRESS_KIND) :: AODISP(1) ! create an absolute datatype for array R AOBLEN(1) = 5 CALL MPI_GET_ADDRESS( R, AODISP(1), IERR) AOTYPE(1) = MPI_REAL CALL MPI_TYPE_CREATE_STRUCT(1, AOBLEN,AODISP,AOTYPE, TYPE, IERR) CALL MPI_TYPE_COMMIT(TYPE, IERR) CALL MPI_COMM_RANK( MPI_COMM_WORLD, MYRANK, IERR) IF (MYRANK.EQ.0) THEN CALL MPI_SEND( MPI_BOTTOM, 1, TYPE, 1, 0, MPI_COMM_WORLD, IERR) ELSE CALL C_ROUTINE(TYPE%MPI_VAL) END IF END SUBROUTINE
/* C code */ void C_ROUTINE(MPI_Fint *fhandle) { MPI_Datatype type; MPI_Status status; type = MPI_Type_f2c(*fhandle); MPI_Recv( MPI_BOTTOM, 1, type, 0, 0, MPI_COMM_WORLD, &status); }
MPI implementors may weaken these type matching rules, and allow messages to be sent with Fortran types and received with C types, and vice versa, when those types match. I.e., if the Fortran type INTEGER is identical to the C type int, then an MPI implementation may allow data to be sent with datatype MPI_INTEGER and be received with datatype MPI_INT. However, such code is not portable.


| 1 | package fr.sii.ogham.core.util.bean; | |
| 2 | ||
| 3 | /** | |
| 4 | * Implementation that is used by default by | |
| 5 | * {@link RecursiveBeanReadWrapper} in order to wrap nested beans. | |
| 6 | * | |
| 7 | * @author Aurélien Baudet | |
| 8 | * | |
| 9 | */ | |
| 10 | public class DefaultRecursiveBeanReadWrapperFactory implements BeanReadWrapperFactory { | |
| 11 | ||
| 12 | @Override | |
| 13 | public BeanReadWrapper create(Object bean) { | |
| 14 |
2
1. create : All methods instructions replaced by: return null; → NO_COVERAGE 2. create : All methods instructions replaced by: return null; → KILLED |
return new RecursiveBeanReadWrapper(new SimpleBeanReadWrapper(bean)); |
| 15 | } | |
| 16 | ||
| 17 | } | |
Mutations | ||
| 14 |
1.1 2.2 |


Please note: this tutorial corresponds to FunGEn 0.1 windows version and is (slightly) out of date. To view or run the latest example code, see the main page.
Here we'll develop, step by step, a small version of a very famous game called Pong. The player will use the left and right arrow keys to move a bar horizontally, and he will need to hit a ball that moves around the screen. When the ball is hit, a sound is played and 10 points is added to the score, which will be displayed in the bottom left corner of the screen. All of this is done using less than 80 lines of code, showing how powerful is the combination of Haskell and game engines. (The following code is explained in almost all details, but since you read it once, you'll get very familiar with FunGEn. Nevertheless, it is possible to understand everything reading only the blue shaded code. It is very intuitive.)
Ok, here we go. The first thing to do is to declare the main module and to import module FunGEn:
module Main where import Graphics.UI.Fungen |
Now it is necessary to define an algebraic data type for the game special attributes (in this case, the score, which is represented by an Int
type):
data GameAttribute = Score Int |
Before we start to implement the main function, let's define two type synonyms that will help our code to be more legible. The first refers to the objects of the game. In FunGEn, every object has the type GameObject s
, where s
is the type of the object special attribute (usually an algebraic data type such as GameAttribute
. Since we won't need any special attribute for objects, let's leave the type s
blank, or ()
. This lead us to the following code:
type PongObject = GameObject () |
The second type synonym refers to the type of the actions of our game. In FunGEn, a game has the type IOGame t s u v a
, where
t
is the type of the game special attributes;
s
is the type of the object special attributes;
u
is the type of the game levels;
v
is the type of the map tile special attribute, in case we use a Tile Map as the background of our game;
a
is the type returned by each action of the game (such as the Int
for "IO Int"
)
The name IOGame
was chosen to remind that each action deals with a Game
, but an IO
operation can also be performed between game actions (such as the reading of a file or printing something in the prompt).
Let's think about each one of these types. The type t
was already defined before: it is the algebraic data GameAttribute
, which contains information about the score. We can leave s
as ()
because, as mentioned before, we won't use special attributes for objects. Our game will not have different levels, so we can also set u
as ()
. Finally, because we won't use a Tile Map as our game background, we can also set v
as ()
. So the action of our game (call it PongAction
) will be a type synonym just like that
type PongAction a = IOGame GameAttribute () () () a |
Notice that the a
type is not pre-defined. The same way that a function returns an IO Int
, IO Char
, etc., our game functions will be able to return an PongAction Int
, PongAction Char
and so on. In other words, the a
type refers to the value produced by each of our game actions. (If you are used to Monads
, you may have already noticed that IOGame
is a state tranformer monad: it transforms the state Game
producing a value of type a
.
Ok, that was the most boring part. Now we can start to do some nice coding. Let's define our Main
function. In FunGEn, you must think of it as having the following structure:
main :: IO () main = do <some local definitions> <a call to funInit using the definitions above> |
The first local definition, generally, tells how our game window will look like. We need to specify its initial position (x,y) in pixels, its (width,height) in pixels and its title. The following code says that our window will have its initial position at the top left corner of the screen (0,0), its (width,height) will be (250,250) and its title will be "A brief example!"
:
main :: IO () main = do let winConfig = ((0,0),(250,250),"A brief example!") |
Now let's use other local definition to specify the kind of map (background) we are going to use. Let's use a Texture Map. This kind of map fills the whole window with copies of a specified texture pattern, loaded from a bitmap (.bmp) file. We need then to tell from which bmp file are we going to use the texture, the horizontal and vertical size of the texture and, finally, the size of the map. Suppose the file tex.bmp contains the following texture and that we'll use it in our map:
Suppose also that each copy of this texture will have a size of 50, both horizontally and vertically. This means that its width will occupy
So that's the trick to find how big will be the texture in a texture map: its width will occupy
Finally, we define the size of the map, which generally is the same of the window (in our game, (250,250)). All of this blah-blah-blah to code is (remember we are still "inside" the let
):
bmpList = [("tex.bmp",Nothing)] gameMap = textureMap 0 50 50 250.0 250.0 |
Please notice that we used a local definition called bmpList
to specify a list of all bitmap filepaths we'll use in our game (in this case, only "tex.bmp"). The Nothing
value indicates that we don't want any invisible colors when drawing the bitmap. It is very common, however, to use the magenta color as an invisible color. If we used it, all magenta pixels of our bitmap would not be drawn. We'll talk more about colors later.
The position of the "tex.bmp" filepath in the list (the first position is 0) is the first parameter of function textureMap
. Yes, it is a function, not a type constructor. FunGEn will use this function to do some internal computations, an then produce the appropriate constructor for the map. Keep in mind the signature of textureMap
:
textureMap <index of texture> <relative width of texture> <relative heigth of texture> <map width in pixels> <map height in pixels> |
Now let's define our game objects. A game object is an important entity of the game. In our game, we can think of the ball and the bar as the game objects.
In FunGEn, objects must be grouped. For example, in the pac-man game, one group of objects would be composed by the ghosts, another group by the pac-man food and, finally, a last group containing only the pac-man itself. As you may have noticed, groups of objects contains similar or closely related objects. In Pong, the ball and the bar have no close relation, so we'll have two distinct groups: one containing the bar and the other, the ball. To create a group, we need to call function objectGroup
, which receives the name of the group and a list of object as parameters. Into code:
bar = objectGroup "barGroup" [createBar] ball = objectGroup "ballGroup" [createBall] |
Notice that createBar
and createBall
are functions that will create the bar and the ball respectively, and we'll need to define them later.
The next local definition initializes the game special attribute (in our game, the score). So let's define the inial score as 0, using:
initScore = Score 0 |
Now we'll write the last local definition of our game. This one will be responsible for identifying which keyboard keys will have a meaning in our game. We do this defining a list of triples, where each triple contains a key, an event related to that key and an action (a function to be performed when the event happens). There are three possible events related to a keyboard key:
Events 1 and 3 are different. Event 1 happens once when the key is pressed, and won't happen again until the key is released and then pressed again. Event 3, othwewise, happens a lot of times between the press and the release of a key. In FunGEn, each of these events are implemented as a type constructor, as respectively shown below:
Pressed
Released
StillDown
In our game, what we'll need is the following:
StillDown
), call a function that moves the bar to left (say moveBarToLeft
);
StillDown
), call a function that moves the bar to right (say moveBarToRight
).
Nothing would be more intuitive:
input = [(KeySpecial KeyRight, StillDown, moveBarToRight), (KeySpecial KeyLeft, StillDown, moveBarToLeft)] |
Now we have a lot of local definitions, each one doing a different thing:
winConfig
);
bmpList
);
gameMap
);
bar
and ball
);
initScore
);
input
).
What should we do with them? Call function funInit
! Here you have it (the 3 other parameters will be explained below):
funInit winConfig gameMap [bar,ball] () initScore input gameCycle (Timer 40) bmpList |
Notice that:
[bar,ball]
);
()
;
gameCycle
, and it must be implemented by us (as shown later);
gameCycle
is called. Besides (Timer x
), another possible value for this parameter is Idle
: the game execution will happen as faster as possible, according to the CPU availability.
Important (1): Using Idle
can make your game to run at different rates in different computers.
Important (2): Using a very slow value for x
in (Timer x)
can cause an unexpected behavior in the game execution rate, since there may be not enough time between the game cycles for the CPU to process data.
Now we are done with Main
, and the only thing left to do is to implement some functions called in it. The first two of them is the creation of the ball and the bar.
The function createBall
must return a game object. We have already defined the type of this object in the beginning of our code: PongObject
. So this will be the type of createBall
. Now how do we really create an object in FunGEn? A very simple and useful structure for doing this is the following one:
createObject :: <ObjectType> createObject = let objPic = <define the picture of the object> in <call object function using objPic and other desired params> |
The picture refers to how an object will be drawn (or rendered). In FunGEn, the picture of an object can be:
Both the bar and the ball will have basic primitives for their pictures. Let's consider the ball a green circle, with a radius of 3.0 screen units, i.e., its width and heigth will occupy
All of this object creation is done by the following code:
createBall :: PongObject createBall = let ballPic = Basic (Circle 3.0 0.0 1.0 0.0 Filled) in object "ball" ballPic False (125,125) (-5,5) () |
Let's take a look at the above code. The first value after the constructor Circle
defines the radius of the ball. The next three numbers refers to the color of the ball, in the RGB (Red Green Blue) format. Each of the three colors can vary from 0.0 to 1.0, so Filled
says that the interior os the ball is also green. If we used Unfilled
instead, only the border of the ball (its most outside circumference) would be drawn.
The function object
is then called to effectively create the object. Its parameters are the name of the object, its picture, its sleeping status, its initial position, its inicial speed and its special attribute (which, as we defined before, does not make any sense in our game). If the sleeping status of the ball were True
, FunGEn would ignore it when moving, drawing and checking collisions between it and other objects. One can always change the attributes of and object by get
and set
functions, as it will be shown later.
Important: FunGEn automatically creates the size
attribute for an object.
The creation of the bar is very similar. Suppose we'd like an unfilled white rectangle to represent the picture of the bar, and that its initial position is (125,30) screen units and its initial speed is null (0,0). The code would be:
createBar :: PongObject createBar = let barBound = [(-25,-6),(25,-6),(25,6),(-25,6)] barPic = Basic (Polyg barBound 1.0 1.0 1.0 Unfilled) in object "bar" barPic False (125,30) (0,0) () |
The only new thing in the above code is the local definition barBound
, which is a list of points related to the centre of the bar. They must be listed in counter-clockwise order. They're also expressed in screen units.
Now let's define the function moveBarToRight
, which will be called when the player holds the right keyboard key. Basically, what we'll need to do is to find (retrieve) the bar object from the game and increment its position (let's increment it by 5 units). The following code does this task:
moveBarToRight :: PongAction () moveBarToRight = do obj <- findObject "bar" "barGroup" (pX,pY) <- getObjectPosition obj (sX,_) <- getObjectSize obj if (pX + (sX/2) + 5 <= 250) then (setObjectPosition ((pX + 5),pY) obj) else (setObjectPosition ((250 - (sX/2)),pY) obj) |
The functions findObject
, getObjectPosition
, getObjectSize
, setObjectPosition
and setObjectPosition
are all FunGEn functionalities. The first of them find an object, given its name and the name of its group. Notice that there is a check to avoid the bar from moving beyond the right window boundary. This check needs to know the position and size of the ball, which are retrieved via getObjectPosition
and getObjectSize
respectively. After the check is done, the new position of the bar is set properly, via setObjectPosition
, which receives the new position (x,y) and the object to be modified as parameters. Notice that the type of this function (and of all functions that changes the state of our game) is PongAction ()
, as defined before.
Important: You'll may have problems if you create two objects with the same name in the same group, or two groups with the same name. But no problems will occur if two objects, from two different groups, have the same name.
To the moveBarToLeft
function, the routine is almost the same. The difference is that now we need to avoid the bar from moving to beyond the left window boundary. The final check is then modified; the code for this function is:
moveBarToLeft :: PongAction () moveBarToLeft = do obj <- findObject "bar" "barGroup" (pX,pY) <- getObjectPosition obj (sX,_) <- getObjectSize obj if (pX - (sX/2) - 5 >= 0) then (setObjectPosition ((pX - 5),pY) obj) else (setObjectPosition (sX/2,pY) obj) |
Dont'give up now, we're almost done. The last thing remaining to do is the implementation of the gameCycle
function. It will be executed every cycle, so it is the right place to describe the game behavior. Its first task is to retrieve the score (the game special attribute) and print it on the screen. Hence, the beginning of this fuction would be:
gameCycle :: PongAction () gameCycle = do (Score n) <- getGameAttribute printOnScreen (show n) BitmapTimesRoman24 (0,0) 1.0 1.0 1.0 |
Both getGameAttribute
and printOnScreen
functions are FunGEn pre-defined functions. The first retrieves the game special attribute, and the later prints a string in the screen, given the string, the font type, the position of the bottom left corner of the text and the color in RBG.
Now let's find the ball object and check if it have collided with any border of the map. If the collision was against the left or right border, the horizontal speed must be changed. Case the top border was hit, the vertical position must be the one changed. If, otherwise, the collision was against the bottom border, the player loses the game and we finish it (calling funExit
) This is done by the following piece of code (remember we're still inside gameCycle
:
ball <- findObject "ball" "ballGroup" col1 <- objectLeftMapCollision ball col2 <- objectRightMapCollision ball when (col1 || col2) (reverseXSpeed ball) col3 <- objectTopMapCollision ball when col3 (reverseYSpeed ball) col4 <- objectBottomMapCollision ball when col4 (funExit) |
It is worth observing that the exiting function funExit
, the collision detection functions and the speed reversing functions are also provided by FunGEn, and that a when
corresponds to an if
without an else
(for monadic actions, such as IO
or IOGame
).
Now we check if the bar have hit the ball. We first find the bar object, call the objectsCollision
function and do the check. If it happened, we call FunGEn sound
function to play a sound, then reverse the speed of the ball and, finally, add 10 points to the score. Into code:
bar <- findObject "bar" "barGroup" col5 <- objectsCollision ball bar when col5 (do sound "hit.wav" [Async] reverseYSpeed ball setGameAttribute (Score (n + 10))) |
Notice that the sound
function receives the sound filepath and a list of configurations. Here, Async
says that the game execution must not wait for the sound to be completely executed to continue; the sound plays and the game execution continues at the same time.
Ok, now we ARE DONE. When executed, our game would look like:
Please notice that, in our example, when the ball hits one of the sides of the bar, its horizontal speed won't change, so it will "enter" the bar. Try it! Can you change the above code to avoid this...?
One last thing: would you like to check the frame per seconds rate of the game? Try adding the following code line to the end of gameCycle
and see what happens:
showFPS BitmapTimesRoman24 (30,0) 1.0 0.0 0.0 |
And that's it. We created a game with many different functionalities and a nice performance in less than 80 lines of code. Hope you enjoyed!


Emuns I Have Learned To Use Cheat Sheet
| Method |
Description |
Example |
Returns |
| count |
Returns the numbers of times the emun is counted in an array |
[1,2,4,2].count(2) |
2, since 2 is shown twice in the array |
| drop |
Drops first n element from the emun and returns in the rest of the elements in an array |
[1,2,3,4,5,0].drop(3) |
[4,5,0] |
| find |
Passes each entry in emun to block. Returns the first for which is the block is true |
(1..100).find {|i| i % 5 == 0 and i % 7 == 0} |
35 |
| find_all |
Returns an array containing all elements of emun for which the given block returns true |
(1..10.find_all { |i| i % 3 == 0 } |
[3,6,9] |
| include? |
Returns true if any member of emun equals object. Equality is tested using ==. |
["a","b","d"].include?("d") |
true |
| map |
Returns a new array with the results of running the block once for every element in emun |
[1,2,3].map {|i| i*2 } |
[2,4,6] |
| reject |
Returns an array for all the elements of emun for which the given block returns false |
[1,2,3,4,5].reject {|i| i.even? } |
[1,3,5] |


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Get familiar with the basic setup and structure of Ambient
Design
Ambient does not style components by default.
Because we have removed the dependency on base styles, you do not need to override Ambient core CSS to customize the design. Once your HTML5 structure is in place, customize the design with optional Ambient skin classes, or your own custom classes.


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.govukfrontend.views.html.components._ @import uk.gov.hmrc.govukfrontend.views.html.components.implicits._ @import uk.gov.hmrc.preferencesadminfrontend.config.AppConfig @import uk.gov.hmrc.preferencesadminfrontend.controllers.model.User @import uk.gov.hmrc.preferencesadminfrontend.controllers.routes @this( layout: Layout, form: FormWithCSRF, govukInput: GovukInput, govukButton: GovukButton, govukBreadcrumbs: GovukBreadcrumbs) @(userForm: Form[User])(implicit request: Request[_], messages: Messages, appConfig: AppConfig) @layout(pageTitle = Some("Login")) { @govukBreadcrumbs(Breadcrumbs( items = Seq( BreadcrumbsItem( content = Text("Home"), href = Some("/paperless/admin/home") ) ) ) )
Enter your details to access the admin console
@form(action = routes.LoginController.loginAction) { } }


Last Train to Clarksville
Released: 16 August 1966
Songwriters: Tommy Boyce; Bobby Hart
B-Side: "Take a Giant Step"
Format: 7"
Released: 16 August 1966
Songwriters: Tommy Boyce; Bobby Hart
B-Side: "Take a Giant Step"
Format: 7"
Released: October 25, 1967
Songwriters: John Stewart
B-Side: "Goin' Down"
Format: 7"
Released: 12 November 1966
Songwriters: Tommy Boyce; Bobby Hart
A-Side: "I'm a Believer"
Format: 7"
Released: 12 November 1966
Songwriters: Neil Diamond
B-Side: "(I'm Not Your) Steppin' Stone"
Format: 7"


WITNESS LIST
Urban Affairs Committee
July 25, 2017 - 10:30 AM or upon final adjourn./recess
Roles & Responsibilities of State & City Governments
On:
Benson, David (Finance Department, City of Houston)
Cortinas, Robert (City of El Paso)
Grady, Richard (City of Plano)
Houston, Scott (Texas municipal league)
McKamie, Mick (Self; City of Amarillo, Texas City Attorneys)
Nirenberg, Ron (City of San Antonio)
Tagliabue, Tom (City of Corpus Christi)
Thomaides, John (City of San Marcos)
Registering, but not testifying:
On:
YAntis-SToker, Teresa (Self)
For:
Brown, Dr. Craig (Self)
Dennis, Mary (Texas Municipal League)
Lehde, David (Dallas builders association)
Mars, Keith (City of Austin)
Norman, Scott (Texas Association of Builders)
Sparks, Chance (Texas Chapter of American Planning Association)
On:
Cannizzo, James (US Army, Fort Sam Houston, Camp Bullis and Camp Stanley)
Murphy, Jocelyn (City of Fort Worth)
Shannon, Michael (City of San Antonio)
Registering, but not testifying:
For:
Brandel, Bruce (Self; Texas BOMA)
Englund, David (Self; Building Owners & Managers Association (BOMA) Texas)
Erwin, Philip (City of Dallas)
Files, Priscilla (Self; Galveston island Tree Conservancy)
Glenn, David (Home builders association of greater austin)
Gonzalez, Daniel (Texas Assocation of REALTORS)
Hensley, Elisabeth (Self)
Jackson, Kyle (Texas Apartment Association)
Johnson, Karisa (Self)
King, David (Self)
Lieberknecht, Chloe (The Nature Conservancy)
Parenteau, Julia (Texas Association of Realtors)
Parsons, Brad (Self)
1
WITNESS LIST
For:
Pate, Gardner (Texas Building Owners & Managers Association (Texas BOMA))
Perkins, Val (Texas Community Association Advocates)
Tagliabue, Tom (City of Corpus Christi)
Tahuahua, Geoffrey (Real Estate Council of Austin)
Turner, Ginger (Self)
Vandenberg, Bertram (City of Dallas)
Weist, Jon (City of Irving)
Against:
Alles, Richard (Self)
Altmiller, Eileen (City of Buda)
Bonner, Charlie (Self; Texas League Of Conservation Voters)
Cahn, Adam (Cahnman's Musings)
Cuellar, Guadalupe (City of El Paso)
Davis, Kelly (Self; Save Our Springs Alliance)
Doyel, Elizabeth (Self; Texas League of Conservation Voters)
King, David (Self)
Murphy, Patrick (Self)
Nazor, Craig (Self; Sierra Club, Austin Regional Group)
Perkins, Thais (Self; TreeFolks)
Reiswerg, B Claire (Self)
Rosshirt, Ryan (Self)
Ruge, Todd (City of Buda)
Thomaides, John (City of San Marcos)
Woiton, Sonia (Self; Texas League of Conservation Voters)
Zwiener, Erin (Self)
On:
Canavan, Margaret (Self)
Cole, Jackie (Self; Galveston Island Tree Conservancy)
Cuellar, Cheri (Self; City of fort worth)
Dobbs, Andrew (Texas Campaign for the Environment)
Fishbaugh, Michael (Self)
Flowers, E. Kay (Self)
Flowers, John (Self)
Giedraitis, John (Self)
Hillis, Jon (Self)
Luck, Brent (American Society of Landscape Architects - Texas Chapter)
McCollough, Rhonda (Self; West Lake Hills City Council)
McKinney, Eleanor (Self)
Pacatte, Dan (Self)
Reed, Cyrus (Lone star chapter sierra club)
Rooni, James (Texas A&M Forest Service)
South, Beth (Self; City of West Lake Hills)
YAntis-SToker, Teresa (Self)
2
WITNESS LIST
For:
Cahn, Adam (Cahnman's Musings)
Hollingsworth, Steve (Self)
Hollingsworth, Steve (Self; Wanda and Gerald Hollingsworth)
Martin, Paul (National Association of Mutual Insurance Companies)
Mathew, Bryan (Texas Public Policy Foundation)
Against:
Alles, Richard (Self)
Ayala, Juan (City of San Antonio)
Baker, Kenneth (City of Southlake)
Beard, Anne Marie (Self)
Bonner, Charlie (Self; Texas League Of Conservation Voters)
Bunch, Gordy (Self; The Woodlands Township Board of Directors and our 115,000 residents)
Canavan, Margaret (Self)
Cannizzo, James (US Army, Fort Sam Houston, Camp Bullis and Camp Stanley)
Claunch, Dave (Self)
Cole, Jackie (Self; Galveston Island Tree Conservancy)
DePalma, Richard (Self)
Dobbs, Andrew (Texas Campaign for the Environment)
England, Brian (City of Garland)
Erwin, Philip (City of Dallas)
Fields, Shawna (City of Garland)
Files, Priscilla (Self; Galveston Island Tree Conservancy)
Files, Priscilla (Self; Galveston island Tree Conservancy)
Flowers, E. Kay (Self)
Flowers, John (Self)
Giedraitis, John (Self)
King, David (Self)
Luck, Brent (American Society of Landscape Architects - Texas Chapter)
Madden, Jensie (Self; League of Women Voters of Texas)
Mars, Keith (City of Austin)
McCollough, Rhonda (Self; West Lake Hills City Council)
McCollough, Rhonda (Self; City of West Lake Hills city council)
McKinney, Eleanor (Self)
Murphy, Jocelyn (City of Fort Worth)
Murphy, Patrick (Self)
Perkins, Thais (Self; TreeFolks)
Phillips, Bradford (Self)
Plunkett, Brian (Self; City of West Lake Hills)
Ponebshek, Phil (Self; GEAA)
Ramirez, Rick (City of Sugar Land)
Reiswerg, B Claire (Self)
Reynolds, Joseph (Self)
Schunck, Phyllis (Self)
3
WITNESS LIST
Against:
Shannon, Michael (City of San Antonio)
Sparks, Chance (Texas Chapter of American Planning Association)
Toth, Steve (Self)
Turner, Ginger (Self)
Wilcox, Cynthia (Self; TCCSA)
Wolda, Nick (Self; The Woodlands Convention & Visitors Bureau)
YAntis-SToker, Teresa (Self)
On:
Perkins, Val (Texas Community Association Advocates)
Registering, but not testifying:
For:
Ayala, Salvador (Self; Empower Texans)
Brandel, Bruce (Self; Texas BOMA)
Clark, Stephen (Self)
Collett, Alline (Self; Texas BOMA)
Englund, David (Self; Building Owners & Managers Association (BOMA) Texas)
Fuchs, Jeremy (Texas and Southwestern Cattle Raisers Association)
Glenn, David (Home builders association of greater austin)
Greener, Jerome (Self; Americans for prosperity)
Hensley, Elisabeth (Self)
Jackson, Kyle (Texas Apartment Association)
Johnson, Karisa (Self)
Luby, Kristie (Self)
May, Patty (Self)
Norman, Scott (Texas Association of Builders)
Pate, Gardner (Texas Building Owners & Managers Association (Texas BOMA))
Patton, Marissa (Texas Farm Bureau)
Tahuahua, Geoffrey (Real Estate Council of Austin)
Against:
Altmiller, Eileen (City of Buda)
Anthony, Linda (City of West Lake Hills)
Arnold, Jim (Scenic Texas)
Ashworth, Stephanie (Self)
Bailey, Chuck (Las Colinas Association)
Blanton, Dana (Self)
Breach, Stacey (Self)
Brown, Dr. Craig (Self)
Brown, Jennifer (City of Sugar Land)
Caponi, Matthew (Self)
Compton, Ann (Self)
Crawford, Chelsea (Self)
Cuellar, Cheri (Self; City of fort worth)
Cuellar, Guadalupe (City of El Paso)
4
WITNESS LIST
Against:
Davis, Kelly (Self; Save Our Springs Alliance)
Deasy, Caiti (Self)
Dennis, Mary (Texas Municipal League)
Doyel, Elizabeth (Self; Texas League of Conservation Voters)
Drake, Kevan (Self)
Embesi, Michael (City of Austin)
Fishbaugh, Michael (Self)
Flakowitz, Kristina (Self)
Foster, David (Clean Water Action)
Hale, Angela (City of Mckinney)
Hale, Angela (McKinney Chamber)
Hale, Angela (Fridco Chamber)
Hill, Laura (Self; City of Southlake)
Hillis, Jon (Self)
Kaplan, Cliff (Self; Hill country alliance)
Lara, Rene (Texas AFL-CIO)
Lee, Randy (Self; City of Conroe Texas)
Lieberknecht, Chloe (The Nature Conservancy)
Lobberecht, Marlene (Self)
Maceo, Peggy (Self)
Mays, Dan (American Society of Landscape Architects - Texas Chapter)
Miller, Scott (City of Conroe)
Nazor, Craig (Self; Sierra Club, Austin Regional Group)
Nguyen (Self)
Ozuna, Jesse (Mayor's Office, City of Houston)
Pacatte, Dan (Self)
Parsons, Brad (Self)
Quaroni, Palmer (Self)
Reed, Cyrus (Lone star chapter sierra club)
Rodriguez, Cynthia (Austin Parks Foundation)
Rooney, John (Self)
Rosshirt, Ryan (Self)
Ruge, Todd (City of Buda)
Shelley, Adrian (Public Citizem)
Solis, Eddie (City of Arlington)
South, Beth (Self; City of West Lake Hills)
South, Beth (Self; City of West Lake Hills)
Speights, Sara (Self)
Sprague, Alex (City of Waco)
Stephanow, Leah (Self)
Stokes, Jeff (Texas Nursery & Landscape Association)
Tagliabue, Tom (City of Corpus Christi)
Thomaides, John (City of San Marcos)
Vandenberg, Bertram (City of Dallas)
Weist, Jon (City of Irving)
5
WITNESS LIST
Against:
Woiton, Sonia (Self; Texas League of Conservation Voters)
Yardy, Christopher (Self)
Zimmerman, Joe (Self; City of Sugar Land)
Zwiener, Erin (Self)
On:
Crenshaw, Sandra (Self; Neighborhood improvement)
Rooni, James (Texas A&M Forest Service)
Warndof, Donna (Harris County)
For:
Clark, Steve (Self)
Hoy, Sandy (Texas Apartment Association)
Norman, Scott (Texas Association of Builders)
Against:
Alles, Richard (Self)
Cole, Jackie (Self)
DePalma, Richard (Self)
Scott, Randal (Self; City of Austin)
Speights, Sara (Self)
Turner, Ginger (Self)
YAntis-SToker, Teresa (Self)
Registering, but not testifying:
For:
Clark, Stephen (Self)
Glenn, David (Home builders association of greater austin)
Gonzalez, Daniel (Texas Assocation of REALTORS)
Lehde, David (Dallas builders association)
Parenteau, Julia (Texas Association of Realtors)
Against:
Bonner, Charlie (Self; Texas League Of Conservation Voters)
Cahn, Adam (Cahnman's Musings)
Canavan, Margaret (Self)
Cole, Jackie (Self; Galveston Island Tree Conservancy)
Cuellar, Cheri (Self; City of fort worth)
Cuellar, Guadalupe (City of El Paso)
Dobbs, Andrew (Texas Campaign for the Environment)
Doyel, Elizabeth (Self; Texas League of Conservation Voters)
Files, Priscilla (Self; Galveston island Tree Conservancy)
Hillis, Jon (Self)
McKinney, Eleanor (Self)
Nazor, Craig (Self; Sierra Club, Austin Regional Group)
Reed, Cyrus (Lone star chapter sierra club)
6
WITNESS LIST
Against:
Rodriguez, Cynthia (Self; Austin Parks Foundation)
On:
Sparks, Chance (Texas Chapter of American Planning Association)
7


Welcome,
Rent or Buy the car you
need at your price
Be your own boss of your property. No need to worry. Everything is covered by us. Interact with your member and keep it between you with no onw involved.
Be your own boss of your property. No need to worry. Everything is covered by us. Interact with your member and keep it between you with no onw involved.
We tied up with this insurance company and we got you covered if anything goes wrong. No need to worry of anything. Enjoy your vacation.
We tied up with this insurance company and we got you covered if anything goes wrong. No need to worry of anything. Enjoy your vacation.


A wrapper for the U.S. Census Bureau APIs that returns data frames of Census data and metadata. Available datasets include the Decennial Census, American Community Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, and Population Estimates and Projections. See <https://www.census.gov/data/developers/data-sets.html> for more information.
| Version: | 0.4.1 |
| Depends: | R (≥ 3.0.0) |
| Imports: | httr, jsonlite |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-08-19 |
| Author: | Hannah Recht [aut, cre] |
| Maintainer: | Hannah Recht <hrecht2 at gmail.com> |
| BugReports: | https://github.com/hrecht/censusapi/issues |
| License: | GPL-3 |
| URL: | https://github.com/hrecht/censusapi |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | OfficialStatistics |
| CRAN checks: | censusapi results |
| Reference manual: | censusapi.pdf |
| Vignettes: |
Example masterlist Getting started with censusapi |
| Package source: | censusapi_0.4.1.tar.gz |
| Windows binaries: | r-devel: censusapi_0.4.1.zip, r-release: censusapi_0.4.1.zip, r-oldrel: censusapi_0.4.1.zip |
| OS X binaries: | r-release: censusapi_0.4.1.tgz, r-oldrel: censusapi_0.4.1.tgz |
| Old sources: | censusapi archive |
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{% extends '_layouts/layout_2-3_no_title_block.html' %} {% block page_title %} Stomach ache symptoms and conditions - NHS.UK {% endblock %} {% block pageTitle %} Idle Medical Centre {% endblock %} {% block pageIntro %} {% endblock %} {% block content %}
48 High Street
Idle
Bradford
BD10 9RY
Phone: 01274 410 800
This GP practice is also linked to the practices at 46 High Street, Bramley and Kings Road, Eccleshill. Because you are registered at Idle Medical Centre you can also contact these practices to make an appointment.


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{% extends "base.html" %} {% block page_title %}{{ _('Server error | ') }}{% endblock %} {% block page_id %}server_error{% endblock %} {% block section_class %}error{% endblock %} {% block content %}
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Now, the following is my third time eating mushrooms, at the dose of 2.1 grams. Previous to this, I have done 1.2 grams and 1.0 gram, once with the same two friends as here, and once alone. So this whopping 2.1 grams would be my highest shroom dose yet. Furthermore, my friends and I tend to have a lot of trouble finding this fungus in my city, it just seems that everybody can get them, but when it comes down to it, their connect is out of town, or their mother died, or something or another comes up to prevent us from getting our mushrooms. Which is funny, because for the third time, we got our shrooms and took them at a last second decision, choosing to take them only because they were finally there.
Last night at about 9:30 my friend gives me a call. He says dude, homie's got that half o of shrooms NOW. I need the money bring a bill, Iíll pay you back peace. So I cruise over. Its getting late, we donít actually get them till about 11:45.  We divided it 3 ways, 4.6 grams each, but we didnít want to eat nearly 5 grams so we decided to just pick a dose and save the rest for another time.  So I ate my 2.1 in a peanut butter and fungus sandwich, at right around midnight, as did my two friends, one of which took 3.6 grams, the other took 2.6.
We're watching 'in living color', its hilarious, but definitely not what Iím wanting to watch on shrooms. We're starting to trip at the 45 minute point. We're not paying any attention to the tv, rather we're laughing and sharing each others visual experiences. Except the one who ate 3.6; she wasnít feeling anything, according to her. She has a lot of experience with acid and ecstasy, so it seemed like she was just not getting what she expected from them, while my friend and I were FADED and not even peaking yet with our lower doses.
I remember looking at the corner of my friends bed, he has a trippy design on his comforter that seemed to be breathing and swirling a little bit. Then I took notice of the contrast between the comforter, and the carpet which was lined up next to it. As I looked at the corner of the bed, focusing on both the bed and the carpet, I noticed that there was like this continuous 'focusing' effect, like the bed was zooming in and out, as was the carpet, but like, at different times, making it look like my vision was constantly focusing, getting closer and closer to being focused, but still just moving. Everything was moving, come to think of it. I also recall looking at the carpet, and seeing it swirl around into like a whirlpool, and it appeared to be sucking the dresser into it.
Some time after we both got into this state, where we were clearly tripping and coming up fast (I exclude the other friend because, although she was apparently tripping, she honestly wasnít having as much fun as us, or experiencing what we were). We were talking and laughing loud, chilin, being on mushrooms. Then a knock at the door. Fuck. So I open the door, it only opens about a foot because the chair Iím sitting in is blocking it. My friend gets up to talk to his mom, standing at the door. She says we're being too loud (its about 1:30 at this point), and my friend does his best to look sober, apologise, and promise to keep it down.
From this second on, we spend frantically wondering where we can go. We keep getting loud and reminding each other to quiet down, and we all agree that we need to get at least outside, so we can talk and laugh like we should be. We wanted to get out of the house for the peak, basically.  This pressure on us was a little too much for all of our nerves, but finally we get outside, and to the car, where we head to the gas station for gas and cigarettes.
[Erowid Note: Driving while intoxicated or tripping is dangerous and irresponsible because it endangers other people. Don't do it!]
In the car, we laugh hard for a long time because, as always, everything is hilarious on shrooms.  We do a big loop all around town, past my house, and back to my friends house, where we knew we couldnít go back because we would wake his parents. The peak pretty much occupied all this driving, I think we were all peaking for the most part when we were at the gas station.  It was good.
So after this big (pointless) drive, we were all beginning to come down. It was about 3:00, the friend who ate 3.6 was tired, probably bored, and not tripping like we were, so she wanted to go home. She left us at my truck, parked on the street in a neighborhood, where we smoked a bowl, then headed to my house. Got here at about 3:15 or so.  We were both coming down, but wide awake. I looked at myself in the mirror, and my eyes were about to pop out, my pupils about the size of a marble.
We smoked a good gram or so out of my bong, and at 6:30 went to mc donalds for some breakfast (only thing they're good for). We were probably still lookin a little tripped out at that point. I found it funny we were drinking coffee and watching CNN at 6:30 in the morning around a bunch of people in suits on their way to work. I guess the caffeine helped keep me up till now, its 10:13 right as I type this.  I think thatís what Iím gonna do. Iím really really drained right now but I also really donít want to sleep my day away.
I got 2.6 left. We're gonna save them for Saturday. Probably.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


--- layout: page title: "Software Development Podcasts" comments: true published: true date: 2018-03-17 06:20:00 -0500 categories: software development podcasts ---
I've been listening to some podcasts related to software development, and I found this one called ruby rogues, which produces a lot of great content. I highly recommend the following episodes even if you are not familiar with ruby and rails:
You can find other interesting podcasts, such as Adventures in Angular, and other ones related to software development in: https://devchat.tv/.
If you speak portuguese, I highly recommend that you listen to the Hispter pontotech podcast as well, of which I would like to point out the following episodes: