The conference has now ended, thank you to all the authors and attendees that made the event engaging and memorable. The Discord community lives on and attendees can continue to meet and discuss ideas on the platform. If you are looking to contact a particular attendee, the attendee list is still avaliable.
More information will follow on UKICER 2021, keep checking the website and follow the conference Twitter account.
Until then, considering submitting to the Computing Education Practice (CEP) conference or joining the UK ACM SIGCSE.
See you soon,
Joe and Quintin.
General and Programme Chairs.
The United Kingdom and Ireland Computing Education Research (UKICER) conference from the UK ACM Special Interest Group in Computing Science Education is emerging as one of the leading venues nationally and internationally for researchers and practitioners to meet and share advances in computing science education.
The UKICER 2020 theme is gathering ideas together and has been chosen to emphasise that (1) computing science education research comprises of many different areas and ideas, including cyber security and data science, and (2) to celebrate practice that brings people together and makes the most of people in the same space.
We are a diverse and inclusive community bringing together researchers, academics, industry practitioners and teachers from across the United Kingdom and Ireland as well as from the rest of Europe and the wider world.
The conference takes place on Thursday 3rd of September and Friday 4th of September 2020 online
The United Kingdom and Ireland Computing Education Research (UKICER) conference from the UK ACM Special Interest Group in Computing Science Education is going online!
While we will miss meeting physically in person, we looking forward to welcoming many more to our community, both nationally and internationally, with reduced registration fees and interactive online sessions. The approach also allows us to simplify and extend deadline dates and provide more time to authors as booking accommodation and travel are no longer a constraint. The abstract deadline is Friday the 3rd of July 2020 with full papers expected the following week on Friday the 10th of July 2020.
The United Kingdom and Ireland Computing Education Research (UKICER) conference from the UK ACM Special Interest Group in Computing Science Education is seeking high quality contributions to research relevant to computing science education. Contributions are sought in a variety of categories with emphasis on high-quality and rigorous work. Call for Participation (PDF).
We invite submissions of research papers on the topic of computing education. Themes of interest include:
Papers should describe a rigorously executed piece of work, include a motivating research question and discussion of prior related work. We welcome:
All submitted papers should have a research component. Papers focused purely on practice-related topics such as implementation of new curricula or new course designs may be better suited to our sister Computing Education Practice conference.
We invite proposals for running 1 to 2-hour workshops. The workshops should be relevant to British and Irish educators (in a university or school setting) and/or computing education researchers. Example workshops may be on the use of research techniques (e.g. qualitative methods), grant writing, pedagogical techniques (e.g. peer instruction), tools (e.g. programming environments, assessment tools), or any other topic which may be relevant to conference attendees.
We invite posters for presentation and discussion at the conference. The posters should be relevant to British and Irish educators (in a university or school setting) and/or computing education researchers. Example posters could include initial ideas, experimental designs, pedagogical techniques or early proposals to address open challenges in computing science education research.
The review of posters is not double-blind. Posters will be presented using GatherTown with attendees able to discuss several posters in a single session. Poster presenters will be asked to give a lightening talk during the conference and produce a 30-second overview video for promotion on the UKICER Twitter feed. Any questions should be directed to the Posters chair<EMAIL_ADDRESS>There are several important dates for the UKICER conference.
| Milestone | Date and Time |
|---|---|
| Call for Participation | Thursday, January 9, 2020. |
| Abstracts (250 words) |
Friday, July 3, 2020, anywhere on Earth (UTC-12). |
| Full papers |
|
| Notification of paper acceptance |
Friday, July 31, 2020. |
| Final camera ready submission |
|
| Milestone | Date and Time |
|---|---|
| Call for Participation | Thursday, January 9, 2020. |
| Workshop Proposal (500 words) |
Friday, July 17, 2020, anywhere on Earth (UTC-12). |
| Poster abstract (approx. 250-500 words) |
Friday, August 21, 2020, anywhere on Earth (UTC-12). |
| Notification of workshop acceptance |
Friday, July 31, 2020. |
| Notification of poster acceptance | Friday, August 21, 2020. |
| Milestone | Date and Time |
|---|---|
| Registration Opens | Monday, July 6, 2020. |
| Registration Closes | Monday, August 24, 2020, anywhere on Earth (UTC-12). |
| Workshops | Thursday, September 3, 2020. |
| UKICER Conference | Thursday, September 3 - Friday September 4, 2020. |
The registration platform is EventBrite and the conference will be delivered using a range of platforms, including EventBrite. Tickets can be purchased below or directly through the EventBrite platform.
The United Kingdom and Ireland Computing Education Research (UKICER) conference from the UK ACM Special Interest Group in Computing Science Education is going online! The conference event will occur entirely online and resources are accessed via EventBrite. Attendees need will automatically be able to gain access to the page once they have registered for the conference.
THURSDAY, SEPTEMBER 3, 2020 |
|
| TIME | EVENT |
|---|---|
0845 - 0900 |
Arrival and Guidance |
0900 - 0915 |
Opening RemarksQuintin Cutts, University of GlasgowJoseph Maguire, University of Glasgow |
0915 - 1000 |
Keynote: Reflections on Computing Science Education ResearchDr. Steve Draper, University of Glasgow. |
1000 - 1030 |
Coffee break |
1030 - 1200 |
Paper session 1: Cognitive ConcernsSession Chair:Measuring the Cognitive Load of Learning to Program: A Replication Study.Albina Zavgorodniaia, Aalto University.Rodrigo Duran, Aalto University. Arto Hellas, Aalto University. Otto Seppälä, Aalto University. Juha Sorva, Aalto University. The effect of explicit instruction on students learning the second programming language .Ethel Tshukudu, University of Glasgow.Siri Annethe Moe Jensen, University of Oslo. Relating Spatial Skills and Expression EvaluationJack Parkinson, University of Glasgow.Quintin Cutts, University of Glasgow. Steve Draper, University of Glasgow. |
1200 - 1300 |
Lunch break |
1300 - 1400 |
Paper session 2: CommunitySession chair: Maria Kallia, Radboud UniversitySense of Belonging in Female Computer Science Students and their Self-declared Minority StatusCatherine Mooney, University College Dublin.Brett Becker, University College Dublin. The impact of COVID-19 and "emergency remote teaching" on UK computer science educationTom Crick, Swansea University.Cathryn Knight, Swansea University. Richard Watermeyer, University of Bristol. Janet Goodall, Swansea University. |
1400 - 1430 |
Posters and coffee
|
1430 - 1600 |
Workshop: 2nd Workshop on Using Video in Computer Science EducationAdriana Wilde, University of Southampton.Alan Dix, Swansea University. |
FRIDAY, SEPTEMBER 4, 2020 |
| TIME | EVENT |
0845 - 0900 |
Arrival and Guidance |
0900 - 1030 |
Workshop: Integrating New Research Faculty into the UK Computer Science Education CommunityAlan Hayes, University of Bath.James Davenport, University of Bath. Alastair Irons, University of Sunderland. Tom Prickett, Northumbria University. Tom Crick, Swansea University. |
1030 - 1100 |
Posters and coffee
|
1100 - 1200 |
Paper session 3: Creativity and EngagementExploring the Instructional Efficiency of Representation and Engagement in Online Learning MaterialsAva Heinonen, Aalto University.Arto Hellas, Aalto University. Developing Creativity in Computer Science Initial Teacher Education through Design ThinkingGemma O’Callaghan, Galway-Mayo Institute of Technology.Cornelia Connolly, National University of Ireland Galway. |
1200 - 1300 |
Lunch break |
1300 - 1430 |
Paper session 4: Peers and ProgrammingSession chair:Evaluating a Peer Assessment Approach in Introductory Programming CoursesAmal Al-Khalifa, Newcastle University.Marie Devlin, Newcastle University. Compile Much? A Closer Look at the Programming Behaviour of Novices in Different Compilation and Error Message Presentation ContextsIoannis Karvelas, University College Dublin.Joe Dillane, University College Dublin. Brett Becker, University College Dublin. Software Testing as Medium for Peer FeedbackLéon McGregor, Heriot-Watt University.Manuel Maarek, Heriot-Watt University. |
1430 - 1500 |
Comfort break |
1500 - 1515 |
Rolling reviewsQuintin Cutts, University of Glasgow.Joseph Maguire, University of Glasgow. |
1515 - 1530 |
Journal clubDuncan Hull, University of Manchester. |
1530 - 1545 |
Closing remarksQuintin Cutts, University of Glasgow.Joseph Maguire, University of Glasgow. |
Information for presenters will appear closer to the conference.


If God gave me the chance
To rewrite the past in any way
I'd ask him to have to been born in a closer place
To have gone to a closer school
To have lived in a closer street
Or really for anything
That'd get me closer to you
That earlier
Would have given me the Light of your eyes
Would have given the bond of our hearts
As the greatest gift
Brightest joy
Highest height
I would beg
From birth to eternity
To not lose a second
The bull
I run for my Love
The singularity
The uniqueness
The shift
And every second I didn't know of her
Every second unaware
Every second apart
Every second away
From my Ms. One
From my Sunshine
From my Spider
From my Yara
From my Love
For me
Now
Is just
A waste of life
And in such
I pray
Hope
Run and Fight
For all the seconds
All the smiles
All the trees
All the benches, parks, dogs
All words, pieces, songs
That in the eternity of stars
Will all belong to our godly tied hearts.


Love and Sex 3 Stars (Out of 4) Reviewed by Mac VerStandig ---Part of Mac VerStandig's extensive coverage of the 2000 Florida Film Festival---<EMAIL_ADDRESS>http://www.moviereviews.org June 7, 2000 USA Release Date - Not Set at Time of Review
---A copy of this review can be found at http://www.moviereviews.org/love_and_sex.htm ---
---Mac VerStandig's coverage of the 2000 Florida Film Festival can be found at http://www.moviereviews.org/florida_film_festival_2000.htm ---
`I know ten times more about blowjobs than I do about relationships' insists Kate Welles (Famke Janssen) in the opening moments of `Love and Sex.' Over the course of the next 75 minutes, Kate will experience one gigantic epiphany consisting of numerous smaller realizations and will emerge, hardly to the viewer's surprise, with a full grasp on the nature of relationships. Yet, dull and predictable as such an inherently mawkish premise might sound, the film is actually an oftentimes cute and humorous piece that should be much easier for couples to cuddle up to than the recently similar `High Fidelity.'
In Kate's life can be found shades of `American Beauty's' Lester Burnham (Kevin Spacey). She works at a popular woman's magazine, is decidedly fed up with her job and pens article after article that she recognizes to be phony. Her boss is referred to as `the antichrist' and is preparing to fire Kate over her current piece. The article in question, originally supposed to be a commentary on the pleasures of oral sex, turned into a how-to on performing effective fellatio; Kate refers to it as `a blow by blow' description. However, unlike Lester's approach of trying to solve his problems at home with each day being a new beginning, Kate decides to do like `High Fidelity' s' protagonist, Rob (John Cusack), and first reconcile her romantic past.
The movie comes fully equipped with bite-size romantic philosophies like `scheduled spontaneity is the key to long term love' and `we [fall in love] for one reason: nothing in the world makes us feel better.' Such one-liners do help the movie work on multiple levels and progress forward although you can oftentimes tell that such hokey comments are the product of a screenwriter who probably worked late nights.
The film seems to have no qualms allowing its characters to engage in some very public displays of affection. Yet, the filmmakers seem inexplicably scared to go `all the way' and instead opt for a very unsettling lack of nudity.  If a movie's purpose is to show the true nature of intimate relationships, which `Love and Sex's' apparently is, then the reality of nudity should be welcomed, not dismissed with such awkward tactics as the infamous `L' shaped covers which reach just over a man's groin area yet extend over a woman's breasts.
Fortunately, the film's lead actress, Famke Jannsen, does have sex appeal. She comes across as a blend of Julia Roberts and Sandra Bullock with her only noticeable physical flaw being a slightly too-long forehead. However, most importantly, the young actress seems human and doesn't yet have the jaded movie-star look that separates sex appeal from sex symbolism among Hollywood's leading ladies.
At one point in the film, Kate and her primary boyfriend, Adam (Jon Favreau who is a dead ringer for Jeremy Piven) argue over what to rent at a video store. Kate favors a tear jerking foreign film while Adam endorses a movie about topless ninjas. `Love and Sex' would be the perfect compromise.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


| Modifier and Type | Class and Description |
|---|---|
class |
PutOptions
Contains options supported in the REST API for the PUT operations.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AWSDescribeImagesOptions
Extra options only available in Amazon's implementation
|
class |
AWSRunInstancesOptions
Contains options supported in the Form API for the RunInstances operation.
|
class |
CreateSecurityGroupOptions
Contains options supported in the Form API for the CreateSecurityGroup
operation.
|
class |
DescribeSpotPriceHistoryOptions
Contains options supported in the Form API for the DescribeSpotPriceHistory operation.
|
class |
RequestSpotInstancesOptions
Contains options supported in the Form API for the RequestSpotInstances operation.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AWSS3PutObjectOptions
Contains options supported in the AWS S3 REST API for the PUT object operation
|
| Modifier and Type | Class and Description |
|---|---|
class |
CreateOptions
Contains common options supported in the REST API for the Create operation.
|
class |
ListOptions
Options used to control paginated results (aka list commands).
|
| Modifier and Type | Class and Description |
|---|---|
class |
ListBlobsOptions
Contains options supported in the REST API for the List Blobs operation.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ListCdnContainerOptions
Contains options supported in the REST API for the GET CDN containers operation.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AccountInDomainOptions
Options for services that apply to accounts in domains
|
class |
AddClusterOptions
Options to the GlobalHostApi.addHost() API call
|
class |
AddHostOptions
Options to the GlobalHostApi.addHost() API call
|
class |
AddSecondaryStorageOptions
Options for the GlobalHostApi.addSecondaryStorage() API call
|
class |
AssignVirtualMachineOptions
Options used to control what disk offerings are returned
|
class |
AssociateIPAddressOptions
Options used to acquire and associate a public IP to an account.
|
class |
CreateAccountOptions
Optional fields for account creation
|
class |
CreateDiskOfferingOptions
Options to control how disk offerings are created
|
class |
CreateDomainOptions
Options used to control how a domain is created
|
class |
CreateFirewallRuleOptions
Options used to control how a firewall rule is created
|
class |
CreateIPForwardingRuleOptions
Options used to create an ip forwarding rule
|
class |
CreateLoadBalancerRuleOptions
Options used to control what load balancer rules are returned
|
class |
CreateNetworkOptions
Optional fields for network creation
|
class |
CreatePodOptions
Options to the GlobalPodApi.createPod API call.
|
class |
CreateServiceOfferingOptions
Options to control how service offerings are created
|
class |
CreateSnapshotOptions
Options for the Snapshot createSnapshot method.
|
class |
CreateTemplateOptions
Options used to control how a template is created.
|
class |
CreateUserOptions
Optional fields for user creation
|
class |
CreateVlanIPRangeOptions
Options to the createVlanIPRange API call.
|
class |
CreateVMGroupOptions
Options used to control options for creating a VM group
|
class |
CreateZoneOptions
Options used to control how a zone is created
|
class |
DeleteHostOptions
Options to the GlobalHostApi.deleteHost() API call
|
class |
DeleteISOOptions
Options for the ISO deleteISO method.
|
class |
DeleteTemplateOptions
Options used to control how a template is created.
|
class |
DeployVirtualMachineOptions
Options used to control what disk offerings are returned
|
class |
ExtractISOOptions
Options for the ISO extractISO method.
|
class |
ExtractTemplateOptions |
class |
GenerateUsageRecordsOptions
Options to the GlobalUsageApi.generateUsageOptions() API call
|
class |
ListAccountsOptions
Options used to control what account information is returned
|
class |
ListAlertsOptions
Options to the listAlerts command.
|
class |
ListAsyncJobsOptions
Options used to control what asyncJobs information is returned
|
class |
ListCapacityOptions
Options to the listCapacity command.
|
class |
ListClustersOptions
Options used to control what cluster information is returned
|
class |
ListConfigurationEntriesOptions
Options used to control what configuration entries are returned
|
class |
ListDiskOfferingsOptions
Options used to control what disk offerings are returned
|
class |
ListDomainChildrenOptions
Options used to control what domain children are returned
|
class |
ListDomainsOptions
Options used to control what domains are returned
|
class |
ListEgressFirewallRulesOptions
Options used to control what egress firewall rules are returned
|
class |
ListEventsOptions
Options used to control what events are returned
|
class |
ListFirewallRulesOptions
Options used to control what firewall rules are returned
|
class |
ListHostsOptions
Options used to control what hosts information is returned
|
class |
ListIPForwardingRulesOptions
Options used to control what ip forwarding rules are returned
|
class |
ListISOsOptions
Options for the ISO listISOs method.
|
class |
ListLoadBalancerRulesOptions
Options used to control what load balancer rules are returned
|
class |
ListNetworkOfferingsOptions
Options used to control what network offerings are returned
|
class |
ListNetworksOptions
Options used to control what networks information is returned
|
class |
ListOSTypesOptions
Options used to control what OSType information is returned
|
class |
ListPodsOptions
Options to the GlobalPodApi.listPods API call.
|
class |
ListPortForwardingRulesOptions
Options used to control what port forwarding rules are returned
|
class |
ListProjectsOptions
Options used to control what account information is returned
|
class |
ListPublicIPAddressesOptions
Options used to control what ip addresss information is returned
|
class |
ListResourceLimitsOptions |
class |
ListSecurityGroupsOptions
Options used to control what security groups are returned
|
class |
ListServiceOfferingsOptions
Options used to control what service offerings are returned
|
class |
ListSnapshotPoliciesOptions
Options for the Snapshot listSnapshotPolicies method.
|
class |
ListSnapshotsOptions
Options for the Snapshot listSnapshots method.
|
class |
ListSSHKeyPairsOptions |
class |
ListStoragePoolsOptions
Options to the GlobalStoragePools[Async]Client.listStoragePools API call
|
class |
ListTemplatesOptions
Options used to control what templates information is returned
|
class |
ListUsageRecordsOptions
Options to the GlobalUsageApi.listUsageOptions() API call
|
class |
ListUsersOptions
Options used to control what user information is returned
|
class |
ListVirtualMachinesOptions
Options used to control what virtual machines information is returned
|
class |
ListVlanIPRangesOptions
Options to the listVLANIPRanges() API call
|
class |
ListVMGroupsOptions
Options used to control what VMGroups information is returned
|
class |
ListVolumesOptions
Options used to control what volume
|
class |
ListZonesOptions
Options used to control what zones information is returned
|
class |
RegisterISOOptions
Options for the ISO registerISO method.
|
class |
RegisterTemplateOptions
Options used to control how a template is registered.
|
class |
StopVirtualMachineOptions
Options for stopping virtual machines.
|
class |
UpdateAccountOptions
Optional arguments for updating an Account
|
class |
UpdateClusterOptions
Options for the GlobalHostApi.updateCluster() API call.
|
class |
UpdateDiskOfferingOptions
Options to control how disk offerings are created
|
class |
UpdateDomainOptions
Options used to control how a domain is created
|
class |
UpdateHostOptions
Options to the GlobalHostApi.addHost() API call
|
class |
UpdateISOOptions
Options for the ISO updateISO method.
|
class |
UpdateISOPermissionsOptions
Options for the ISO updateISOPermissions method.
|
class |
UpdateLoadBalancerRuleOptions
Options used to control how a load balancer rule is updated
|
class |
UpdateNetworkOfferingOptions
Options to control how network offerings are created
|
class |
UpdatePodOptions
Options to the GlobalPodApi.updatePod API call.
|
class |
UpdateServiceOfferingOptions
Options to control how service offerings are created
|
class |
UpdateTemplateOptions
Options used to control how a template should be updated.
|
class |
UpdateTemplatePermissionsOptions
Options used to control how a template should be updated.
|
class |
UpdateUserOptions
Optional arguments for updating an User
|
class |
UpdateVMGroupOptions
Options used to control updates to VMGroups
|
class |
UpdateZoneOptions
Options used to control how a zone is updated
|
| Modifier and Type | Class and Description |
|---|---|
class |
GetMetricStatisticsOptions
Options used to control metric statistics are returned
|
class |
ListAlarmHistoryOptions
Options used to describe alarm history.
|
class |
ListAlarmsForMetric
Options used to describe alarms for metric.
|
class |
ListAlarmsOptions
Options used to describe alarms.
|
class |
ListMetricsOptions
Options used to list available metrics.
|
class |
SaveAlarmOptions
Options used to create/update an alarm.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BundleInstanceS3StorageOptions
Contains options supported in the Form API for the RegisterImage operation.
|
class |
CreateImageOptions
Contains options supported in the Form API for the CreateImage operation.
|
class |
DescribeAvailabilityZonesOptions
Contains options supported in the Form API for the DescribeAvailabilityZones operation.
|
class |
DescribeImagesOptions
Contains options supported in the Form API for the DescribeImages operation.
|
class |
DescribeRegionsOptions
Contains options supported in the Form API for the DescribeRegions operation.
|
class |
DescribeSnapshotsOptions
Contains options supported in the Form API for the DescribeSnapshots operation.
|
class |
DetachVolumeOptions
Contains options supported in the Form API for the DetachVolume operation.
|
class |
RegisterImageBackedByEbsOptions
Contains options supported in the Form API for the RegisterImage operation.
|
class |
RegisterImageOptions
Contains options supported in the Form API for the RegisterImage operation.
|
class |
RunInstancesOptions
Contains options supported in the Form API for the RunInstances operation.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BaseEC2RequestOptions |
| Modifier and Type | Class and Description |
|---|---|
class |
AddDomainOptions |
class |
AddRecordOptions |
class |
CloneServerOptions |
class |
DestroyServerOptions |
class |
DomainOptions |
class |
ListIpOptions |
class |
ServerStatusOptions |
class |
UpdateRecordOptions |
class |
UpdateServerOptions |
| Modifier and Type | Class and Description |
|---|---|
class |
AddLoadBalancerOptions
Optional parameters for adding a load balancer.
|
class |
AddServerOptions |
class |
GetImageListOptions |
class |
GetIpListOptions |
class |
GetJobListOptions |
class |
GetServerListOptions |
class |
SaveImageOptions |
| Modifier and Type | Class and Description |
|---|---|
class |
ListCDNContainerOptions
Contains options supported in the REST API for the GET CDN containers operation.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BaseHttpRequestOptions |
class |
GetOptions
Contains options supported for HTTP GET operations.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BaseListOptions
Options used to control paginated results (aka list commands).
|
| Modifier and Type | Class and Description |
|---|---|
class |
CreateContainerOptions
Contains options supported in the REST API for the Create Container operation.
|
class |
ListContainerOptions
Contains options supported in the REST API for the GET container operation.
|
| Modifier and Type | Class and Description |
|---|---|
class |
PaginationOptions
Options used to control paginated results (aka list commands).
|
| Modifier and Type | Class and Description |
|---|---|
class |
CopyObjectOptions
Contains options supported in the REST API for the COPY object operation.
|
class |
ListBucketOptions
Contains options supported in the REST API for the GET bucket operation.
|
class |
PutBucketOptions
Contains options supported in the REST API for the PUT bucket operation.
|
class |
PutObjectOptions
Contains options supported in the REST API for the PUT object operation.
|
| Modifier and Type | Class and Description |
|---|---|
class |
CreateQueueOptions
Options used to receive a message from a queue.
|
class |
ListQueuesOptions
Contains options supported in the Form API for the ListQueues operation.
|
class |
ReceiveMessageOptions
Options used to receive a message from a queue.
|
class |
SendMessageOptions
Options used to send a message.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AssumeRoleOptions |
class |
FederatedUserOptions |
class |
SessionCredentialsOptions
Options used to get a session token.
|
Copyright © 2009-2013 The Apache Software Foundation. All Rights Reserved.


Library Demo
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Most of the tutorials are going to be listed on the top menu. Feel free to click around for what you want.
Find Out MoreMy name is Omar and I'm currently an instructor at UCLA extension's Coding Bootcamp and a Web Development instructor at Mt. Sierra College. I've built these tutorials to help others learn web development. I hope you don't hate them, but even if you do, you still maybe learned something.
Blog (more learning thangs)


--- title: Week 1 - Image Classification keywords: fastai sidebar: home_sidebar summary: "Training a resnet to predict if an image belongs to one of $n$ clases" description: "Training a resnet to predict if an image belongs to one of $n$ clases" nb_path: "01_image_classification.ipynb" ---
from fastai.vision.all import *
Today, we're going to be "solving" a task called image classification using a model called ResNet. By the end of this workshop, you should be able to create and train your own neural networks to solve a wide variety of problems that can be forumlated as image classification.
But before we get into neural networks, optimizers, backprop and all that other fancy jargon, it's important to realize that what you should really understand when working with deep learning in the real world is your data.
Specifically, I like to think about what the inputs and outputs are. This helps me come up with concrete things to implement in code.
In our case, today, we're going to be working on a problem called images classification. So let's consider, at a high level, what the inputs and outputs are.
Well, we know that we want to use images as the input, and do something to them. So let's focus on that bit and get a little more specific. Here are some questions you should be asking:
Let's answer those questions in turn, with specific code snippets as much as possible.
This really isn't complicated at all: use whatever you want!
This notebook (and deep learning in general) makes no assumption about what your images are and what they mean to you. In the end, a computer sees an image as bunch of ones and zeros. As long as your images are in some readable format and are not corrupt, pretty much anything goes.
Now, one caveat is that we may not be able to make a good classifier if you pick images thaat are really hard to classify. But that's an issue that you, the person who's trying to solve the problem, should be thinking about.
Again, not too hard. Barring certain legal restrictions, you can get your images from anywhere!
For this particular notebook, we're going to use a dataset called Imagenette (yes, that's how it's spelled, and yes, you're supposed to say that with a French accent). Here's why:
But... Imagenette can only take you so far. It's easy to run demo notebooks on toy datasets. What actually matters at the end of the day is if you're able to train an model on your data that actually works and solves your problem.
So, instead of running the Imagenette example like I am, what you should be doing is running this code to train a model on your own dataset.
You don't have be curing cancer here. The dataset could be something as simple as collection of family photos, or your favorite comic book characters. In fact, we'll also be showing you how to use a script to exract your own datset from search engine resuts.
Luckily, fastai provides some nice functionality to download, extract, and load images for us, which we will be using here.
path = untar_data(URLs.IMAGENETTE)
path.ls()
The Imagenette dataset uses one of the most common deep learning image dataset format. It's generally refered to as the imagenet style, and it looks something like this:
One thing you'll notice is that dataset, at a high level, has been split into train
and valid
folders. It's important that we don't mix theme up.
The training set (labelled as train
) stores the images that we'll be using to train the model, and the validation set (labelled as valid
) is completely independant from that.
Using the fastai datablocks api, we can easily assemble the dataset into a perfect format.
data = DataBlock(blocks = (ImageBlock, CategoryBlock),
get_items = get_image_files,
get_y = parent_label,
splitter = GrandparentSplitter(valid_name='val'),
item_tfms = RandomResizedCrop(128, min_scale=0.35),
batch_tfms = Normalize.from_stats(*imagenet_stats)
)
What we just created and stored in the variable data
is a DataBlock object. In fastai, a DataBlock
is one of the most useful tools to manage loading and handling datasets. It automates tasks like getting and loading files, splitting the dataset into training and validation sets, assigning labels to input datapoints, and applying data augmentations or tramsformations.
But putting that aside for a second, I'd like to draw your attention to the first parameter of the DataBlock
contructor. It looks like this:
blocks = (ImageBlock, CategoryBlock)
Again, this really comes back to the idea of really understanding what your inputs and outputs are. Here, we define the "blocks" that are important in this dataset. The term "blocks" is intentionally general. It makes no assumptions about what your block is. Theoretically, it could an image, a category, a number, , text, audio, video, or anything else you want.
A "block" makes no assumptions about whether it is an input or output. In general, you can have any of the things I listed above be either an input or an output. By default, when we specify two blocks like we did just now, fastai assumes that the first block is the input, and the second is the output.
But what's important, and this really comes to the core deep learning, is that in some sense, it doesn't really matter what your blocks are. Neural nets have been called "universal function approximators" for a reason - in theory, they can learn the mapping between datapoints of any type.
So as long as you have a dataset to train on and model to do so, you can set up your datablock to solve arbitrary problems, like audio -> audio, image -> text, text -> category, or anything else you set your mind to.
The Datablock provides access to a lot of high-level functionality for us. But additionally, we have a DataLoaders
class that provides access
dls = data.dataloaders(path)
Do not confuse DataLoaders
with DataLoader
(the difference being an additional "s" to indicate plurality). DataLoaders
is still a fastai class, while DataLoader
is the PyTorch class we discussed earlier.
Among it's many useful features is the show_batch
function that does exactly as it's name suggests.
dls.show_batch()
Now that we have a way to directly access all the data we need (images and their labels) in the right format (PyTorch tensors, which are used internally by fastai), we have concluded the data preperation phase.
While fastai certainly makes it simpler, most of the time, it will not be this easy. Many professional data scientists claim that perparing the dataset is most time consuming task of them all. This is because we usually don't have a clean dataset like Imagenette to work with in the real world, and ethically collecting data that accurately represents the distribution of the real world is not an easy task.
Here's how to train a ResNet18 on the dataset we just prepared:
learn = cnn_learner(dls, resnet18, metrics=accuracy)
learn.fine_tune(5)
While a lot of detail was abstracted away in those two lines of code. For a lot of practical purposes, that's about it.
The reason we can do that, is because, as I mentioned, deep learning is very general. We make no assumptions about your data. So regardless of what images we use, those two lines of code that we just ran will remain the same.
But what exactly is going on here? It's nice to run some code and see numbers pop up on a screen, but that's not enough to comfotably use this network to make predictions in the real world.
Firstly, som high-level code details: we just build a fastai Learner
. This is the other important class you'll be using a lot (the first being the DataBlock
+ DataLoaders
combo). A learner is a wrapper around a PyTorch model and an optimizer.
We'll go through these in detail in the future, but here's the quick version: a model is represented as an nn.Module
class in PyTorch. This is what is typically referred to as a "Neural Net" pretty much everywhere on the internet. The model conatins a set of parameters. Tweaking these parameters (which are just numbers) makes the model do different things.
Again, to be entirely clear, let's consider what the inputs and outputs are.
The input to our model is the image represented as an array. So this is not a traditional image file but rather, the result of performing some preprocessing and transforms.
The output is a class prediction, which is another array that gives the probability of the image belonging to each class.


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Plugin Information |
|---|
View sbt on the plugin site for more information. |
This plugin allows building Scala projects using sbt.
Configure the sbt plugin
- In order to set up sbt-plugin, you need to specify the names and locations of one or more sbt launch jars. Press the Manage Jenkins link and then the Global Tool Configuration. You should now see the sbt configuration section where you will be asked to specify names and locations for your sbt launch jars.
Configure your project to use sbt
- Open your project configuration and add a Build using sbt build step
- Now, choose which sbt launcher to use, add any jvm and sbt flags you need for your build, and specify which actions you want to run. Keep the -Dsbt.log.noformat=true sbt flag to keep the console output clean.
- Once you saved the project configuration, you can run your project and watch the virtual console to see the magical sbt work.
Todo
- Allow multiple sbt launchers
- Allow downloading an sbt launcher
- Find a way to publish test results when the project does not have a test listener which creates junit xml (see Christoph Henkelmann’s Blog)
Changelog
Version 1.0
- Initial release
Version 1.1
- This release got wrong, sorry
Version 1.2
- Handle multi-word actions correctly (thanks to Ismael Juma).
- A work-around for missing JDK path (thanks to Maciek Makowski)
- Ability to define multiple sbt launchers (Include SBT Processor, jenkins-8661)
- Missing jvm arguments causes build to fail (Exception in thread "main" java.lang.NoClassDefFoundError, jenkins-8587)
Version 1.3
- Added an ability to run sbt in a sub-directory (pull request #6
Attachments:
sbt_hudson_config_.png (image/png)
sbt_hudson_add_build_step.png (image/png)
sbt_hudson_actions.png (image/png)
Skärmavbild 2011-02-12 kl. 8.42.50 PM.png (image/png)
Skärmavbild 2011-02-12 kl. 8.47.52 PM.png (image/png)
Skärmavbild 2011-02-12 kl. 8.49.47 PM.png (image/png)
sbt_hudson_add_build_step.png (image/png)
sbt_hudson_actions.png (image/png)
Skärmavbild 2011-02-12 kl. 8.42.50 PM.png (image/png)
Skärmavbild 2011-02-12 kl. 8.47.52 PM.png (image/png)
Skärmavbild 2011-02-12 kl. 8.49.47 PM.png (image/png)


saveECmodel Saves the ecModel in either YAML format (= default and preferred, as all ecModel content is reserved) and/or SBML format (= more widely compatible with other constraint-based modelling tools, can be used for running simulations like FBA etc., but this model cannot be loaded back into MATLAB for applying further GECKO functions, as model.ec is lost). The ecModel is saved to the ecModel-specific models/ subfolder. For saving to other locations, writeYAMLmodel or exportModel are more suitable. Input: ecModel an ecModel in GECKO 3 format (with ecModel.ec structure) filename ending with either .yml or .xml, specifying if the ecModel should be saved in YAML or SBML file format. If no file extension is given, the ecModel will be saved in YAML format. If no filename is given, 'ecModel.yml' is used. modelAdapter a loaded model adapter, from where the model folder is read (Optional, will otherwise use the default model adapter). Usage: saveECmodel(ecModel,filename,modelAdapter)
0001 function saveEcModel(ecModel,filename,modelAdapter) 0002 % saveECmodel 0003 % Saves the ecModel in either YAML format (= default and preferred, as 0004 % all ecModel content is reserved) and/or SBML format (= more widely 0005 % compatible with other constraint-based modelling tools, can be used for 0006 % running simulations like FBA etc., but this model cannot be loaded back 0007 % into MATLAB for applying further GECKO functions, as model.ec is lost). 0008 % 0009 % The ecModel is saved to the ecModel-specific models/ subfolder. For 0010 % saving to other locations, writeYAMLmodel or exportModel are more 0011 % suitable. 0012 % 0013 % Input: 0014 % ecModel an ecModel in GECKO 3 format (with ecModel.ec structure) 0015 % filename ending with either .yml or .xml, specifying if the 0016 % ecModel should be saved in YAML or SBML file format. If 0017 % no file extension is given, the ecModel will be saved 0018 % in YAML format. If no filename is given, 'ecModel.yml' 0019 % is used. 0020 % modelAdapter a loaded model adapter, from where the model folder is 0021 % read (Optional, will otherwise use the default model adapter). 0022 % 0023 % Usage: 0024 % saveECmodel(ecModel,filename,modelAdapter) 0025 0026 0027 if nargin < 3 || isempty(modelAdapter) 0028 modelAdapter = ModelAdapterManager.getDefault(); 0029 if isempty(modelAdapter) 0030 error('Either send in a modelAdapter or set the default model adapter in the ModelAdapterManager.') 0031 end 0032 end 0033 params = modelAdapter.getParameters(); 0034 if nargin < 2 || isempty(filename) 0035 filename = 'ecModel'; 0036 end 0037 filename = fullfile(params.path,'models',filename); 0038 0039 ecModel.description = ['Enzyme-constrained model of ' ecModel.id]; 0040 0041 switch filename(end-3:end) 0042 case {'.xml','sbml'} 0043 exportModel(ecModel,[filename '.xml']); 0044 %Convert notation "e-005" to "e-05 " in stoich. coeffs. to avoid 0045 %inconsistencies between Windows and MAC: 0046 copyfile([filename '.xml'],'backup.xml') 0047 fin = fopen('backup.xml', 'r'); 0048 fout = fopen([filename '.xml'], 'w'); 0049 still_reading = true; 0050 while still_reading 0051 inline = fgets(fin); 0052 if ~ischar(inline) 0053 still_reading = false; 0054 else 0055 if ~isempty(regexp(inline,'-00[0-9]','once')) 0056 inline = strrep(inline,'-00','-0'); 0057 elseif ~isempty(regexp(inline,'-01[0-9]','once')) 0058 inline = strrep(inline,'-01','-1'); 0059 end 0060 fwrite(fout, inline); 0061 end 0062 end 0063 fclose('all'); 0064 delete('backup.xml'); 0065 otherwise % Assume YAML 0066 writeYAMLmodel(ecModel,filename); 0067 end 0068 end


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|
Jetson Inference
DNN Vision Library
|
gstBufferManager recieves GStreamer buffers from appsink elements and unpacks/maps them into CUDA address space, and handles colorspace conversion into RGB format. More...
#include <gstBufferManager.h>
Public Member Functions | |
| gstBufferManager (videoOptions *options) | |
| Constructor. More... | |
| ~gstBufferManager () | |
| Destructor. More... | |
| bool | Enqueue (GstBuffer *buffer, GstCaps *caps) |
| Enqueue a GstBuffer from GStreamer. More... | |
| int | Dequeue (void **output, imageFormat format, uint64_t timeout=UINT64_MAX) |
| Dequeue the next frame. More... | |
| uint64_t | GetLastTimestamp () const |
| Get timestamp of the latest dequeued frame. More... | |
| imageFormat | GetRawFormat () const |
| Get raw image format. More... | |
| uint64_t | GetFrameCount () const |
| Get the total number of frames that have been recieved. More... | |
Protected Attributes | |
| imageFormat | mFormatYUV |
| The YUV colorspace format coming from appsink (typically NV12 or YUY2) More... | |
| RingBuffer | mBufferYUV |
| Ringbuffer of CPU-based YUV frames (non-NVMM) that come from appsink. More... | |
| RingBuffer | mTimestamps |
| Ringbuffer of timestamps that come from appsink. More... | |
| RingBuffer | mBufferRGB |
| Ringbuffer of frames that have been converted to RGB colorspace. More... | |
| uint64_t | mLastTimestamp |
| Timestamp of the latest dequeued frame. More... | |
| Event | mWaitEvent |
| Event that gets triggered when a new frame is recieved. More... | |
| videoOptions * | mOptions |
| Options of the gstDecoder / gstCamera object. More... | |
| uint64_t | mFrameCount |
| Total number of frames that have been recieved. More... | |
| bool | mNvmmUsed |
| Is NVMM memory actually used by the stream? More... | |
gstBufferManager recieves GStreamer buffers from appsink elements and unpacks/maps them into CUDA address space, and handles colorspace conversion into RGB format.
It can handle both normal CPU-based GStreamer buffers and NVMM memory which can be mapped directly to the GPU without requiring memory copies using the CPU.
To disable the use of NVMM memory, set -DENABLE_NVMM=OFF when building with CMake:
cmake -DENABLE_NVMM=OFF ../
| gstBufferManager::gstBufferManager | ( | videoOptions * | options | ) |
Constructor.
| gstBufferManager::~gstBufferManager | ( | ) |
Destructor.
| int gstBufferManager::Dequeue | ( | void ** | output, |
| imageFormat | format, | ||
| uint64_t | timeout = UINT64_MAX |
||
| ) |
Dequeue the next frame.
Returns 1 on success, 0 on timeout, -1 on error.
| bool gstBufferManager::Enqueue | ( | GstBuffer * | buffer, |
| GstCaps * | caps | ||
| ) |
Enqueue a GstBuffer from GStreamer.
|
inline |
Get the total number of frames that have been recieved.
|
inline |
Get timestamp of the latest dequeued frame.
|
inline |
Get raw image format.
|
protected |
Ringbuffer of frames that have been converted to RGB colorspace.
|
protected |
Ringbuffer of CPU-based YUV frames (non-NVMM) that come from appsink.
|
protected |
The YUV colorspace format coming from appsink (typically NV12 or YUY2)
|
protected |
Total number of frames that have been recieved.
|
protected |
Timestamp of the latest dequeued frame.
|
protected |
Is NVMM memory actually used by the stream?
|
protected |
Options of the gstDecoder / gstCamera object.
|
protected |
Ringbuffer of timestamps that come from appsink.
|
protected |
Event that gets triggered when a new frame is recieved.


A pipeline to analyze photographs of disk diffusion plates. This removes the need to analyze the plates themselves, and thus analysis can be done separate from the assay. Furthermore, diskImageR removes potential researcher bias, by quantitative assessment of drug resistance as the zone diameter at multiple cutoff values of growth inhibition. This method also extends the disk diffusion assay by measuring drug tolerance (in addition to drug resistance) as the fraction of the subpopulation that is able to grow above the resistance point ("FoG"), and drug sensitivity as the rate of change from no growth to full growth ("slope").
| Version: | 1.0.0 |
| Depends: | R (≥ 3.0.3) |
| Imports: | zoo, subplex, tcltk, methods |
| Suggests: | knitr |
| Published: | 2016-04-03 |
| Author: | Aleeza Gerstein [aut, cre], Inbal Hecht [ctb] |
| Maintainer: | Aleeza Gerstein <gerst035 at umn.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| SystemRequirements: | ImageJ (all OS), Xcode (Mac) |
| Materials: | README |
| CRAN checks: | diskImageR results |
| Reference manual: | diskImageR.pdf |
| Package source: | diskImageR_1.0.0.tar.gz |
| Windows binaries: | r-devel: diskImageR_1.0.0.zip, r-release: diskImageR_1.0.0.zip, r-oldrel: diskImageR_1.0.0.zip |
| OS X binaries: | r-release: diskImageR_1.0.0.tgz, r-oldrel: diskImageR_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=diskImageR to link to this page.


Simple Triangle Tracker
enjoy getting to know the types of triangles by simply entering the figures
Side A:
Side B:
Side C:
Try Out
Triangle :


Rawlings' 'sexy' photo with 8 packs that set the internet ablaze
Former President Jerry John Rawlings has once again received some admiration from the social media community, not for something he has said or done, but for an old black and white photograph of himself that has resurfaced.
The photograph making the rounds on Facebook and on WhatsApp statuses shows the energetic sunglasses-wearing former president during his revolutionary days in 1983 standing with no shirt on as he helps to build a bridge at a location GhanaWeb cannot independently verify.
The part of the photograph that got the internet talking was his ripped body with 8 packs that many men and women will literally die for. While others are in admiration, some are of the assertion that since the former president has lost his ripped body, then their "one packs" are fine.
"Even JJ has lost his 6 Packs..lemme not kill myself. 2 is ok," says a Facebook user. "....."THE SIX PACKS S3F WEY IKILL NANA KUNADU NÒ.........OOOH WOMEN D3N HARD GUYS;HHHHMMMMMM......" says another.
Below is the photograph in question and comments from social media users.


This software is in ALPHA development.
DBCore reads your database and generates high-quality, statically typed Go code (for the API) and TypeScript (for the UI) based on templates.
Not happy with the built-in templates? Write your own to generate any kind of application you want.
Screenshot of the examples/todo application.
In your project root folder create a dbcore.yml
:
project: $project-name
database:
# Or 'mysql'
dialect: postgres
# Omit if localhost
host: $host-or-ip
# Omit if 5432 for postgres or 3306 for mysql
port: $port
database: $database-name
username: $username
password: $password
api:
template: go
outDir: $outDir
# e.g. "v1/", for URLs
routerPrefix: $router-prefix
auth:
# Disabled by default
enabled: true
table: $users
# Column for username field
username: $username
# Column for password field, bcrypt hash is stored
password: $password
extra:
repo: $your-repo
The dbcore.yml
file controls code
generation. You'll also need an api.yml
file
for runtime behavior:
database: # Or use 'mysql' dialect: postgres # Or use '$username:$password@tcp($host:$port)/$database?sql_mode=ANSI', sql_mode=ANSI is required dsn: postgres://$username:$password@$host:$port/$database?sslmode=disable address: :9090 session: duration: 2hr secret: $my-secret-signing-key
Clone the repo and run make && make install
within the repo root. You will need Docker, only.
Then go to your project directory and run
dbcore .
to generate the project. Finally
run go run cmd/main.go
to start the server.
When authentication is enabled, make a
JSON POST
request with {"username":
"$your-username", "password": "$your-password"}
to /$version/session/start
to generate a
token. It is valid for 2 hours by default.
Passwords are stored as BCrypt hashes.
You can store this token in the au
cookie or
you can submit it as bearer token by setting
the Authorization
header to BEARER
$your-token
.
$ curl -X POST -d '{"username": "alex", "password": "alex"}' localhost:9090/v1/session/start
{"token":"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHAiOjE1OTA3MjkyNjMsImlhdCI6MTU5MDcyMjA2MywibmJmIjoxNTkwNzIyMDYzLCJ1c2VybmFtZSI6InBoaWwifQ.4AAveeFRpXckn3cRFyCQew2V7jmcU4OOYH68wcv6afI"}
Make a GET
request to /$version/$table
.
| Parameter | Definition | Example |
|---|---|---|
limit |
Number of rows to return | limit=25 |
offset |
Number of rows to skip | offset=0 |
sortColumn |
Column to sort on | sortColumn=id |
sortOrder |
Order to sort (one of asc or desc ) |
sortOrder=desc |
filter |
SQL where filter to eliminate results | filter=id>3 |
$ curl 'localhost:9090/v1/users?limit=25&offset=0&sortColumn=id&sortOrder=desc&filter=id=1'
{
"total": 1,
"data": [
{
"id": 1,
"username": "alex",
"password": "<REDACTED>",
"name": "Alex"
},
]
}
Make a POST
request to /$version/$table
.
$ curl -X POST -d '{"username": "alex", "password": "alex", "name": "Alex"}' localhost:9090/v1/users
{"id":1,"username":"alex","password":"<REDACTED>","name":"Alex"}
Make a GET
request to /$version/$table/$id
.
This endpoint is only available if the table has a primary key.
$ curl localhost:9090/v1/users/1
{"id":1,"username":"alex","password":"<REDACTED>","name":"Alex"}
Make a PUT
request to /$version/$table/$id
.
This endpoint is only available if the table has a primary key.
$ curl -X PUT -d '{"id": 1, "username": "alex", "password": "alex", "name": "Alex K"}' localhost:9090/v1/users/1
{"id":1,"username":"alex","password":"<REDACTED>","name":"Alex K"}
Make a DELETE
request to /$version/$table/$id
.
This endpoint is only available if the table has a primary key.
$ curl -X DELETE localhost:9090/v1/users/1
Using the same configuration as for the API, after
running dbcore .
you can run yarn
start
in browser/
to start the
application at http://localhost:9091
.


Package org.drip.sample.bondfixed
Fixed Coupon Agency/Corporate Bonds
- Author:
- Lakshmi Krishnamurthy
-
Class Summary Class Description Bareilly Bareilly demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for Bareilly.BulletAgency BulletAgency demonstrates Non-EOS Fixed Coupon Agency Bond Pricing and Relative Value Measure Generation Functionality.BulletCorporate1 BulletCorporate1 demonstrates Non-EOS Fixed Coupon Corporate Bond Pricing and Relative Value Measure Generation Functionality.BulletCorporate2 BulletCorporate2 demonstrates Non-EOS Fixed Coupon Corporate Bond Pricing and Relative Value Measure Generation Functionality.BulletCorporate3 BulletCorporate3 demonstrates Non-EOS Fixed Coupon Corporate Bond Pricing and Relative Value Measure Generation Functionality.BulletCorporate4 BulletCorporate4 demonstrates Non-EOS Fixed Coupon Corporate Bond Pricing and Relative Value Measure Generation Functionality.BulletCorporate5 BulletCorporate5 demonstrates Non-EOS Fixed Coupon Corporate Bond Pricing and Relative Value Measure Generation Functionality.BulletCorporate6 BulletCorporate6 demonstrates Non-EOS Fixed Coupon Corporate Bond Pricing and Relative Value Measure Generation Functionality.HubbaliDharwad HubbaliDharwad demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for HubbaliDharwad.Moradabad Moradabad demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for Moradabad.Mysore Mysore demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for Mysore.Tiruchirapalli Tiruchirapalli demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for Tiruchirapalli.Tiruppur Tiruppur demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for Tiruppur.


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Man accused of biting, punching 82-year-old mother on Long Island
by WABCHICKSVILLE, Long Island (WABC) -- A Long Island man is accused of biting, punching and dragging his 82-year-old mother after first trying to throw her down a flight of stairs.
Police said 39-year-old Anil Khandpur allegedly attacked his mother on Friday when she arrived at the home they share in Hicksville.
Khandpur is accused of grabbing and then dragging his mother to the top of the basement stairs in an attempt to throw her down.
At one point, his mother was able to kick herself free, and that's when Khandpur allegedly bit her.
The 82-year-old victim freed herself and ran to the safety of her bedroom where she barricaded herself inside for several hours, police said.
Upon leaving her bedroom, Khandpur supposedly assaulted his mother again, punching her multiple times in the head, causing substantial pain.
The victim was able to escape and call 911 for help.
The police arrived and placed Khandpur under arrest.
Khandpur faces several charges, including attempted murder, criminal obstruction of breathing, and unlawful imprisonment.
It's not clear if he has an attorney who can speak for him.
The Associated Press contributed to this story.


public final class LightLocalizer
extends java.lang.Thread
| Modifier and Type | Field | Description |
|---|---|---|
private static int |
ACCE_SPEED |
|
private lejos.hardware.sensor.EV3ColorSensor |
colorSensor |
|
private float[] |
csData |
|
private static int |
forDis |
|
private static int |
FORWARD_SPEED |
|
private double |
intensity |
|
private lejos.hardware.motor.EV3LargeRegulatedMotor |
leftMotor |
|
private lejos.robotics.SampleProvider |
lightIntensity |
|
private Navigation |
navigation |
|
private Odometer |
odometer |
|
private lejos.hardware.motor.EV3LargeRegulatedMotor |
rightMotor |
|
private static int |
ROTATE_SPEED |
|
private int |
sampleSize |
|
private static double |
sensorDis |
|
private int |
startCorner |
|
private static double |
TILE |
|
private static double |
TRACK |
|
private static double |
WHEEL_RADIUS |
| Constructor | Description |
|---|---|
LightLocalizer() |
| Modifier and Type | Method | Description |
|---|---|---|
private void |
clockwise() |
Make robot rotate clockwise
|
private static int |
convertAngle(double radius,
double width,
double angle) |
Calls convertDistance to get wheel rotations based on the wheel radius, width, and angle
|
private static int |
convertDistance(double radius,
double distance) |
Convert to wheel rotations based on the wheel radius and travel distance
|
private void |
counterclockwise() |
Make robot rotate counterclockwise
|
void |
doLightLocalization(int X,
int Y) |
Do the LightLocalization
|
void |
doLightLocalizationAgain(int X,
int Y) |
Do the LightLocalization at (x0,y0)
|
private void |
driveBackABit() |
Make both motors drive back a bit
|
private void |
driveForward() |
Make both motors go forward
|
private boolean |
hitGridLine() |
Returns true if a grid line is crossed
|
private void |
resetAccordingToCorner() |
Reset the odometer based on the starting corner
|
void |
run() |
Run the LightLocalization
|
private void |
setAcce() |
Set acceleration of the motors
|
private void |
setRotateSpeed() |
Set rotation speed of the motors
|
void |
stopAtGridline() |
Stop at gridline
|
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
activeCount, checkAccess, clone, countStackFrames, currentThread, destroy, dumpStack, enumerate, getAllStackTraces, getContextClassLoader, getDefaultUncaughtExceptionHandler, getId, getName, getPriority, getStackTrace, getState, getThreadGroup, getUncaughtExceptionHandler, holdsLock, interrupt, interrupted, isAlive, isDaemon, isInterrupted, join, join, join, onSpinWait, resume, setContextClassLoader, setDaemon, setDefaultUncaughtExceptionHandler, setName, setPriority, setUncaughtExceptionHandler, sleep, sleep, start, stop, stop, suspend, toString, yield
private static double WHEEL_RADIUS
private static double TRACK
private static final int FORWARD_SPEED
private static final int ROTATE_SPEED
private static final int ACCE_SPEED
private static final int forDis
private static final double sensorDis
private static final double TILE
private double intensity
private int startCorner
private lejos.hardware.motor.EV3LargeRegulatedMotor leftMotor
private lejos.hardware.motor.EV3LargeRegulatedMotor rightMotor
private lejos.hardware.sensor.EV3ColorSensor colorSensor
private Odometer odometer
private Navigation navigation
private lejos.robotics.SampleProvider lightIntensity
private int sampleSize
private float[] csData
public void run()
run
in class java.lang.Thread
public void doLightLocalization(int X, int Y)
X
- x coordinateY
- y coordinatepublic void stopAtGridline()
private void resetAccordingToCorner()
public void doLightLocalizationAgain(int X, int Y)
private boolean hitGridLine()
private void clockwise()
private void counterclockwise()
private void setAcce()
private void setRotateSpeed()
private void driveForward()
private void driveBackABit()
private static int convertDistance(double radius, double distance)
radius
- Wheel radius of the regular EV3 wheelsdistance
- Desired distance to travelprivate static int convertAngle(double radius, double width, double angle)
radius
- Wheel radius of the regular EV3 wheelswidth
- Width of the robot (TRACK)angle
- Angle that defines the distance


--- layout: home search_exclude: true image: images/logo.png --- ![]({{site.baseurl}}/images/Cover_best.png)
This site is my personal blog for hosting my "pet" projects. Here you will find live code for solving data-related problems using data science and process systems engineering tools (PSE). PSE is branch of industrial engineering with solid interface with computer science.
# Posts


New Site Design & Open-Source Story-telling Program Created
10/20/2017 MST
design, programming, website
I recently redesigned the site using jekyll-gulp-sass-browser-sync as a starting point (thanks shakeShane for providing this!) I created a basic customized scss style to fit my personality and the coding/tech slant that my blog will likely continue to enjoy.
Additionally, I've been working on an open source (MIT licensed) project to make it easier for people to create interactive digital stories. The software loads in a YAML formatted file and allows the story-teller to customize the story quite extensively (the hierarchy is nothing more than "pages" which can be connected in a graph-type system in any way imaginable, including with loops.) That project can be found on GitHub here: interactive-story-time


Amount of Interns Required: {{company.num_interns}}
Duration: {{company.duration}}
Credits: {{company.credits}}
Stipend: {{company.stipend}}


Step 3: Paste Your Spreadsheet's Public Link
Paste your spreadsheet's public link here:
Testing your link...
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Warning: That link doesn't look right. Make sure you're copying the entire link from the "Publish to Web" modal.
Adjust other settings here:
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The formula for a line is y = mx + b
where x and y are coordinates, m is the slope, and b is the y-intercept.
So to calculate the point where the lines intersect we substitute and get
y = m1x+b1 = m2x+b2
x = (b1-b2)/(m2-m1)
y = x*m1+b1 = x*m2+b2


http://www.samlogic.net/articles/smtp-commands-reference.htm
Command Comment
ATRN Authenticated TURN
AUTH Authentication
BDAT Binary data
BURL Remote content
DATA The actual email message to be sent- This command is terminated with a line that contains only a "."
EHLO Extended HELO
ETRN Extended turn
EXPN Expand
HELO Identify yourself to the SMTP server.
HELP Show available commands
MAIL Send mail from email account
MAIL FROM<EMAIL_ADDRESS>NOOP No-op. Keeps you connection open.
ONEX One message transaction only
QUIT End session
RCPT Send email to recipient
RCPT TO<EMAIL_ADDRESS>RSET Reset
SAML Send and mail
SEND Send
SOML Send or mail
STARTTLS
SUBMITTER SMTP responsible submitter
TURN Turn
VERB Verbose
VRFY Verify
The following is an actual SMTP session. All sessions must start with HELO and end with QUIT. A 'better' tool to send email CLI in kali is 'sendEmail'. Ability to send attachments, etc.
Note: When using email addresses (ie telnet into the server), some servers like the use of greater than/less than surrounding it<EMAIL_ADDRESS>HELO my.server.com
MAIL FROM:
RCPT TO:
DATA
From: Danny Dolittle
To: Sarah Smith
Subject: Email sample
Mime-Version: 1.0
Content-Type: text/plain; charset=us-ascii
This is a test email for you to read.
.
QUIT


Grand Master Sedrick:
The Orc shaman Tarkai recently gave me instructions on how to activate the Stone of Commune.
The Ketra Orcs and the Varka Silenos both possess and worship magical fragments called the Divine Stone of Wisdom.
You need one of these fragments to restore power to the Stone of Commune! To get it, you'll have to win their trust.
Which side will you get it from?
The Ketra Orcs
The Varka Silenos


{% from "security/_macros.html" import render_field_with_errors, render_field %} {% extends "security/index.html" %} {% block title %} Invite Someone {% endblock %} {% block content %}
Any registered user can invite anyone else, but please don't invite the wrong people.
{% endblock %}


You drink the kombucha. You drink SO. MUCH. KOMBUCHA. You friends hold an intervention for you, they send you to a doctor. The doctor tells you to stop drinking kombucha.
"You're literally going to die,"" he says.
-
Yea, ok
-
Pshhhh, what do YOU know??


Class Precedence List:
integer, rational, real, number, t
Description:
An integer is a mathematical integer. There is no limit on the magnitude of an integer.
The types fixnum and bignum form an exhaustive partition of type integer.
Compound Type Specifier Kind:
Abbreviating.
Compound Type Specifier Syntax:
integer [lower-limit [upper-limit]]
Compound Type Specifier Arguments:
lower-limit, upper-limit---interval designators for type integer. The defaults for each of lower-limit and upper-limit is the symbol *.
Compound Type Specifier Description:
This denotes the integers on the interval described by lower-limit and upper-limit.
See Also:
Figure 2-9, Section 2.3.2 (Constructing Numbers from Tokens), Section <IP_ADDRESS>.1 (Printing Integers)
Notes:
The type (integer lower upper), where lower and upper are most-negative-fixnum and most-positive-fixnum, respectively, is also called fixnum.
The type (integer 0 1) is also called bit. The type (integer 0 *) is also called unsigned-byte.


ContentFolderQuery
class ContentFolderQuery extends ContentFolderQuery
Skeleton subclass for performing query and update operations on the 'content_folder' table.
You should add additional methods to this class to meet the application requirements. This class will only be generated as long as it does not already exist in the output directory.
Methods
Initializes internal state of \Thelia\Model\Base\ContentFolderQuery object.
Returns a new ChildContentFolderQuery object.
Find object by primary key.
Find objects by primary key
$objs = $c->findPks(array(array(12, 56), array(832, 123), array(123, 456)), $con);
Filter the query by primary key
Filter the query by a list of primary keys
Filter the query on the content_id column
Filter the query on the folder_id column
Filter the query on the default_folder column
Filter the query on the created_at column
Filter the query on the updated_at column
Filter the query by a related \Thelia\Model\Content object
Adds a JOIN clause to the query using the Content relation
Use the Content relation Content object
Filter the query by a related \Thelia\Model\Folder object
Adds a JOIN clause to the query using the Folder relation
Use the Folder relation Folder object
Deletes all rows from the content_folder table.
Performs a DELETE on the database, given a ChildContentFolder or Criteria object OR a primary key value.
Filter by the latest updated
Filter by the latest created
Order by the content_id column
Order by the folder_id column
Order by the default_folder column
Order by the created_at column
Order by the updated_at column
Group by the default_folder column
Adds a LEFT JOIN clause to the query
Adds a RIGHT JOIN clause to the query
Adds a INNER JOIN clause to the query
Adds a LEFT JOIN clause to the query using the Content relation
Adds a RIGHT JOIN clause to the query using the Content relation
Adds a INNER JOIN clause to the query using the Content relation
Adds a LEFT JOIN clause to the query using the Folder relation
Adds a RIGHT JOIN clause to the query using the Folder relation
Adds a INNER JOIN clause to the query using the Folder relation
Return the first ChildContentFolder matching the query
Return the first ChildContentFolder matching the query, or a new ChildContentFolder object populated from the query conditions when no match is found
Return the first ChildContentFolder filtered by the content_id column
Return the first ChildContentFolder filtered by the folder_id column
Return the first ChildContentFolder filtered by the default_folder column
Return the first ChildContentFolder filtered by the created_at column
Return the first ChildContentFolder filtered by the updated_at column
Return ChildContentFolder objects filtered by the content_id column
Return ChildContentFolder objects filtered by the folder_id column
Return ChildContentFolder objects filtered by the default_folder column
Return ChildContentFolder objects filtered by the created_at column
Return ChildContentFolder objects filtered by the updated_at column
Details
in
ContentFolderQuery at line 74
__construct(
string $dbName = 'thelia',
string $modelName = '\\Thelia\\Model\\ContentFolder',
string $modelAlias = null)
Initializes internal state of \Thelia\Model\Base\ContentFolderQuery object.
in
ContentFolderQuery at line 87
static
ContentFolderQuery
create(
string $modelAlias = null,
Criteria $criteria = null)
Returns a new ChildContentFolderQuery object.
in
ContentFolderQuery at line 117
ContentFolder|array|mixed
findPk($key, $con = null)
Find object by primary key.
Propel uses the instance pool to skip the database if the object exists. Go fast if the query is untouched.
$obj = $c->findPk(array(12, 34), $con);
in
ContentFolderQuery at line 200
ObjectCollection|array|mixed
findPks(
array $keys,
ConnectionInterface $con = null)
Find objects by primary key
$objs = $c->findPks(array(array(12, 56), array(832, 123), array(123, 456)), $con);
in
ContentFolderQuery at line 221
ContentFolderQuery
filterByPrimaryKey(
mixed $key)
Filter the query by primary key
in
ContentFolderQuery at line 236
ContentFolderQuery
filterByPrimaryKeys(
array $keys)
Filter the query by a list of primary keys
in
ContentFolderQuery at line 271
ContentFolderQuery
filterByContentId(
mixed $contentId = null,
string $comparison = null)
Filter the query on the content_id column
Example usage:
$query->filterByContentId(1234); // WHERE contentid = 1234
$query->filterByContentId(array(12, 34)); // WHERE contentid IN (12, 34)
$query->filterByContentId(array('min' => 12)); // WHERE content_id > 12
in
ContentFolderQuery at line 314
ContentFolderQuery
filterByFolderId(
mixed $folderId = null,
string $comparison = null)
Filter the query on the folder_id column
Example usage:
$query->filterByFolderId(1234); // WHERE folderid = 1234
$query->filterByFolderId(array(12, 34)); // WHERE folderid IN (12, 34)
$query->filterByFolderId(array('min' => 12)); // WHERE folder_id > 12
in
ContentFolderQuery at line 355
ContentFolderQuery
filterByDefaultFolder(
boolean|string $defaultFolder = null,
string $comparison = null)
Filter the query on the default_folder column
Example usage:
$query->filterByDefaultFolder(true); // WHERE defaultfolder = true
$query->filterByDefaultFolder('yes'); // WHERE defaultfolder = true
in
ContentFolderQuery at line 384
ContentFolderQuery
filterByCreatedAt(
mixed $createdAt = null,
string $comparison = null)
Filter the query on the created_at column
Example usage:
$query->filterByCreatedAt('2011-03-14'); // WHERE createdat = '2011-03-14'
$query->filterByCreatedAt('now'); // WHERE createdat = '2011-03-14'
$query->filterByCreatedAt(array('max' => 'yesterday')); // WHERE created_at > '2011-03-13'
in
ContentFolderQuery at line 427
ContentFolderQuery
filterByUpdatedAt(
mixed $updatedAt = null,
string $comparison = null)
Filter the query on the updated_at column
Example usage:
$query->filterByUpdatedAt('2011-03-14'); // WHERE updatedat = '2011-03-14'
$query->filterByUpdatedAt('now'); // WHERE updatedat = '2011-03-14'
$query->filterByUpdatedAt(array('max' => 'yesterday')); // WHERE updated_at > '2011-03-13'
in
ContentFolderQuery at line 458
ContentFolderQuery
filterByContent(
Content|ObjectCollection $content,
string $comparison = null)
Filter the query by a related \Thelia\Model\Content object
in
ContentFolderQuery at line 483
ContentFolderQuery
joinContent(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Adds a JOIN clause to the query using the Content relation
in
ContentFolderQuery at line 518
ContentQuery
useContentQuery(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Use the Content relation Content object
in
ContentFolderQuery at line 533
ContentFolderQuery
filterByFolder(
Folder|ObjectCollection $folder,
string $comparison = null)
Filter the query by a related \Thelia\Model\Folder object
in
ContentFolderQuery at line 558
ContentFolderQuery
joinFolder(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Adds a JOIN clause to the query using the Folder relation
in
ContentFolderQuery at line 593
FolderQuery
useFolderQuery(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Use the Folder relation Folder object
in
ContentFolderQuery at line 607
ContentFolderQuery
prune(
ContentFolder $contentFolder = null)
Exclude object from result
in
ContentFolderQuery at line 624
int
doDeleteAll(
ConnectionInterface $con = null)
Deletes all rows from the content_folder table.
in
ContentFolderQuery at line 661
int
delete(
ConnectionInterface $con = null)
Performs a DELETE on the database, given a ChildContentFolder or Criteria object OR a primary key value.
in
ContentFolderQuery at line 702
ContentFolderQuery
recentlyUpdated(
int $nbDays = 7)
Filter by the latest updated
in
ContentFolderQuery at line 714
ContentFolderQuery
recentlyCreated(
int $nbDays = 7)
Filter by the latest created
in
ContentFolderQuery at line 724
ContentFolderQuery
lastUpdatedFirst()
Order by update date desc
in
ContentFolderQuery at line 734
ContentFolderQuery
firstUpdatedFirst()
Order by update date asc
in
ContentFolderQuery at line 744
ContentFolderQuery
lastCreatedFirst()
Order by create date desc
in
ContentFolderQuery at line 754
ContentFolderQuery
firstCreatedFirst()
Order by create date asc
in
ContentFolderQuery at line 64
ChildContentFolderQuery
orderByContentId($order = Criteria::ASC)
Order by the content_id column
in
ContentFolderQuery at line 64
ChildContentFolderQuery
orderByFolderId($order = Criteria::ASC)
Order by the folder_id column
in
ContentFolderQuery at line 64
ChildContentFolderQuery
orderByDefaultFolder($order = Criteria::ASC)
Order by the default_folder column
in
ContentFolderQuery at line 64
ChildContentFolderQuery
orderByCreatedAt($order = Criteria::ASC)
Order by the created_at column
in
ContentFolderQuery at line 64
ChildContentFolderQuery
orderByUpdatedAt($order = Criteria::ASC)
Order by the updated_at column
in
ContentFolderQuery at line 64
ChildContentFolderQuery
groupByContentId()
Group by the content_id column
in
ContentFolderQuery at line 64
ChildContentFolderQuery
groupByFolderId()
Group by the folder_id column
in
ContentFolderQuery at line 64
ChildContentFolderQuery
groupByDefaultFolder()
Group by the default_folder column
in
ContentFolderQuery at line 64
ChildContentFolderQuery
groupByCreatedAt()
Group by the created_at column
in
ContentFolderQuery at line 64
ChildContentFolderQuery
groupByUpdatedAt()
Group by the updated_at column
in
ContentFolderQuery at line 64
ChildContentFolderQuery
leftJoin($relation)
Adds a LEFT JOIN clause to the query
in
ContentFolderQuery at line 64
ChildContentFolderQuery
rightJoin($relation)
Adds a RIGHT JOIN clause to the query
in
ContentFolderQuery at line 64
ChildContentFolderQuery
innerJoin($relation)
Adds a INNER JOIN clause to the query
in
ContentFolderQuery at line 64
ChildContentFolderQuery
leftJoinContent($relationAlias = null)
Adds a LEFT JOIN clause to the query using the Content relation
in
ContentFolderQuery at line 64
ChildContentFolderQuery
rightJoinContent($relationAlias = null)
Adds a RIGHT JOIN clause to the query using the Content relation
in
ContentFolderQuery at line 64
ChildContentFolderQuery
innerJoinContent($relationAlias = null)
Adds a INNER JOIN clause to the query using the Content relation
in
ContentFolderQuery at line 64
ChildContentFolderQuery
leftJoinFolder($relationAlias = null)
Adds a LEFT JOIN clause to the query using the Folder relation
in
ContentFolderQuery at line 64
ChildContentFolderQuery
rightJoinFolder($relationAlias = null)
Adds a RIGHT JOIN clause to the query using the Folder relation
in
ContentFolderQuery at line 64
ChildContentFolderQuery
innerJoinFolder($relationAlias = null)
Adds a INNER JOIN clause to the query using the Folder relation
in
ContentFolderQuery at line 64
ChildContentFolder
findOne(
ConnectionInterface $con = null)
Return the first ChildContentFolder matching the query
in
ContentFolderQuery at line 64
ChildContentFolder
findOneOrCreate(
ConnectionInterface $con = null)
Return the first ChildContentFolder matching the query, or a new ChildContentFolder object populated from the query conditions when no match is found
in
ContentFolderQuery at line 64
ChildContentFolder
findOneByContentId(
int $content_id)
Return the first ChildContentFolder filtered by the content_id column
in
ContentFolderQuery at line 64
ChildContentFolder
findOneByFolderId(
int $folder_id)
Return the first ChildContentFolder filtered by the folder_id column
in
ContentFolderQuery at line 64
ChildContentFolder
findOneByDefaultFolder(
boolean $default_folder)
Return the first ChildContentFolder filtered by the default_folder column
in
ContentFolderQuery at line 64
ChildContentFolder
findOneByCreatedAt(
string $created_at)
Return the first ChildContentFolder filtered by the created_at column
in
ContentFolderQuery at line 64
ChildContentFolder
findOneByUpdatedAt(
string $updated_at)
Return the first ChildContentFolder filtered by the updated_at column
in
ContentFolderQuery at line 64
array
findByContentId(
int $content_id)
Return ChildContentFolder objects filtered by the content_id column
in
ContentFolderQuery at line 64
array
findByFolderId(
int $folder_id)
Return ChildContentFolder objects filtered by the folder_id column
in
ContentFolderQuery at line 64
array
findByDefaultFolder(
boolean $default_folder)
Return ChildContentFolder objects filtered by the default_folder column
in
ContentFolderQuery at line 64
array
findByCreatedAt(
string $created_at)
Return ChildContentFolder objects filtered by the created_at column
in
ContentFolderQuery at line 64
array
findByUpdatedAt(
string $updated_at)
Return ChildContentFolder objects filtered by the updated_at column


Introducing a decentralized, transparent digital ad exchange based on Ethereum Blockchain.
Stage 1: Brave Browser
Brave is a fast, open source, privacy-focused browser that blocks malvertisements, trackers, and contains a ledger system that anonymously captures user attention to accurately reward publishers.
Stage 2: Basic Attention Token
The Basic Attention Token can be used to obtain a variety of advertising and attention-based services on the BAT platform, as it is exchanged between publishers, advertisers, and users.
The token’s utility is derived from — or denominated by — user attention.
Attention is really just focused mental engagement — on an advertisement, in this case.
Stages 1 + 2 = A New Deal
The Brave browser knows where users spend their time, making it the perfect tool to calculate and reward publishers with BATs. This service creates a transparent and efficient Blockchain-based digital advertising market. Publishers receive more revenue because middlemen and fraud are reduced. Users opt-in to an inclusive and rewarding private ad experience. And advertisers get better data on their spending.


XY PATH1 -> PATH2
git-status(1) Manual Page
NAME
git-status - Show the working tree status
SYNOPSIS
git status [<options>...] [--] [<pathspec>...]
DESCRIPTION
Displays paths that have differences between the index file and the current HEAD commit, paths that have differences between the working tree and the index file, and paths in the working tree that are not tracked by Git (and are not ignored by gitignore(5)). The first are what you would commit by running git commit; the second and third are what you could commit by running git add before running git commit.
OPTIONS
- -s
- --short
Give the output in the short-format.
- -b
- --branch
Show the branch and tracking info even in short-format.
- --porcelain
Give the output in an easy-to-parse format for scripts. This is similar to the short output, but will remain stable across Git versions and regardless of user configuration. See below for details.
- --long
Give the output in the long-format. This is the default.
- -u[<mode>]
- --untracked-files[=<mode>]
Show untracked files.
The mode parameter is optional (defaults to all), and is used to specify the handling of untracked files.
The possible options are:
no - Show no untracked files.
normal - Shows untracked files and directories.
all - Also shows individual files in untracked directories.
When -u option is not used, untracked files and directories are shown (i.e. the same as specifying normal), to help you avoid forgetting to add newly created files. Because it takes extra work to find untracked files in the filesystem, this mode may take some time in a large working tree. You can use no to have git status return more quickly without showing untracked files.
The default can be changed using the status.showUntrackedFiles configuration variable documented in git-config(1).
- --ignore-submodules[=<when>]
Ignore changes to submodules when looking for changes. <when> can be either "none", "untracked", "dirty" or "all", which is the default. Using "none" will consider the submodule modified when it either contains untracked or modified files or its HEAD differs from the commit recorded in the superproject and can be used to override any settings of the ignore option in git-config(1) or gitmodules(5). When "untracked" is used submodules are not considered dirty when they only contain untracked content (but they are still scanned for modified content). Using "dirty" ignores all changes to the work tree of submodules, only changes to the commits stored in the superproject are shown (this was the behavior before 1.7.0). Using "all" hides all changes to submodules (and suppresses the output of submodule summaries when the config option status.submodulesummary is set).
- --ignored
Show ignored files as well.
- -z
Terminate entries with NUL, instead of LF. This implies the --porcelain output format if no other format is given.
- --column[=<options>]
- --no-column
Display untracked files in columns. See configuration variable column.status for option syntax.--column and --no-column without options are equivalent to always and never respectively.
OUTPUT
The output from this command is designed to be used as a commit template comment, and all the output lines are prefixed with #. The default, long format, is designed to be human readable, verbose and descriptive. Its contents and format are subject to change at any time.
The paths mentioned in the output, unlike many other Git commands, are made relative to the current directory if you are working in a subdirectory (this is on purpose, to help cutting and pasting). See the status.relativePaths config option below.
Short Format
In the short-format, the status of each path is shown as
where PATH1 is the path in the HEAD, and the " -> PATH2" part is shown only when PATH1 corresponds to a different path in the index/worktree (i.e. the file is renamed). The XY is a two-letter status code.
The fields (including the ->) are separated from each other by a single space. If a filename contains whitespace or other nonprintable characters, that field will be quoted in the manner of a C string literal: surrounded by ASCII double quote (34) characters, and with interior special characters backslash-escaped.
For paths with merge conflicts, X and Y show the modification states of each side of the merge. For paths that do not have merge conflicts, X shows the status of the index, and Y shows the status of the work tree. For untracked paths, XY are ??. Other status codes can be interpreted as follows:
= unmodified
M = modified
A = added
D = deleted
R = renamed
C = copied
U = updated but unmerged
Ignored files are not listed, unless --ignored option is in effect, in which case XY are !!.
X Y Meaning ------------------------------------------------- [MD] not updated M [ MD] updated in index A [ MD] added to index D [ M] deleted from index R [ MD] renamed in index C [ MD] copied in index [MARC] index and work tree matches [ MARC] M work tree changed since index [ MARC] D deleted in work tree ------------------------------------------------- D D unmerged, both deleted A U unmerged, added by us U D unmerged, deleted by them U A unmerged, added by them D U unmerged, deleted by us A A unmerged, both added U U unmerged, both modified ------------------------------------------------- ? ? untracked ! ! ignored -------------------------------------------------
If -b is used the short-format status is preceded by a line
## branchname tracking info
Porcelain Format
The porcelain format is similar to the short format, but is guaranteed not to change in a backwards-incompatible way between Git versions or based on user configuration. This makes it ideal for parsing by scripts. The description of the short format above also describes the porcelain format, with a few exceptions:
The user's color.status configuration is not respected; color will always be off.
The user's status.relativePaths configuration is not respected; paths shown will always be relative to the repository root.
There is also an alternate -z format recommended for machine parsing. In that format, the status field is the same, but some other things change. First, the -> is omitted from rename entries and the field order is reversed (e.g from -> to becomes to from). Second, a NUL (ASCII 0) follows each filename, replacing space as a field separator and the terminating newline (but a space still separates the status field from the first filename). Third, filenames containing special characters are not specially formatted; no quoting or backslash-escaping is performed.
CONFIGURATION
The command honors color.status (or status.color -- they mean the same thing and the latter is kept for backward compatibility) and color.status.<slot> configuration variables to colorize its output.
If the config variable status.relativePaths is set to false, then all paths shown are relative to the repository root, not to the current directory.
If status.submodulesummary is set to a non zero number or true (identical to -1 or an unlimited number), the submodule summary will be enabled for the long format and a summary of commits for modified submodules will be shown (see --summary-limit option of git-submodule(1)). Please note that the summary output from the status command will be suppressed for all submodules when diff.ignoreSubmodules is set to all or only for those submodules where submodule.<name>.ignore=all. To also view the summary for ignored submodules you can either use the --ignore-submodules=dirty command line option or the git submodule summary command, which shows a similar output but does not honor these settings.
SEE ALSO
GIT
Part of the git(1) suite


Hey,
My name is johanna Nikola Zora Wells
I amm a content creator based in the south of Germany .
My big passion is photogrpahy . My camera is my contsant companion , i love to catc moments and save them for eternity.
I like expressing my ideas through my picture, hence they are colourful and lively


In August 2013 I embarked on another new game project in my then-favourite language Java. Heartened by the knowledge that everyone loves a good classic game clone, I decide to write my own rendition of Snake.
Download the game: SelfEsteemSnake-1.1-beta.jar
Menu - arrow keys to select, return to confirm
Game - arrow keys to move, p to pause
View the code: github.com/laurieboyes/self-esteem-snake
As well as giving me one more shiny thing to put on my personal website, this project was contrived to help me learn Git (imagine the mess in a world without Git!) and to take a small chip out of the looming monolith that was my imposter syndrome by finally giving me a solid, first-hand understanding of working with Test-driven Development.
I decided that the art style should be entirely text based and had a lot of fun with that, not limited to learning some things about when and how one should bundle fonts in jars. A massive bonus this decision gave me was being able to very clearly log the state of the game to the console when debugging. It was also thanks to this decision that I had the idea for the alternative game mode, Bookworm.
As you can see, it’s basically snake again, but you collect letters of an article. The game downloads a random article from wikipedia and uses that to form the food string.
There must have been a reason for me not using the MediaWiki API because I remember looking into it, but I’m quite pleased I didn’t because this provided with with my first real exposure to web scraping using jsoup.
All sorts of fun.