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Posted: 12 Oct 2014 11:23 AM PDT
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Free Coffee at RaceTrac October 12-18
Posted: 12 Oct 2014 07:33 AM PDT
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Free Coffee at RaceTrac October 12-18
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Free Dove Body Wash Sample
Posted: 11 Oct 2014 11:33 PM PDT
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Free Dove Body Wash Sample
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Free Nivea Lotion Samples
Posted: 11 Oct 2014 10:18 PM PDT
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Free Samples of Nivea Cocoa Butter, Smooth Sensation and Extended
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I am currently a senior at Florida Atlantic University and I'm so excited to be graduating in May 2020! I've loved living in Boca Raton for the past 3 years but I originally was born and raised in Orlando, Florida. Both my parents are from Port-au-Prince, Haiti which takes everyone by surprise. So I technically speak three languages; English, French, and Creole! Although I understand the languages better than I speak it, it's a great quality to have being in South Florida with such a diverse culture.
I've been involved with my university through the women's soccer club. I've played the sport for years and was so happy to be able to continue playing in college for fun. Getting involved has really helped me make friends and connections throughout my college experience.
I am also very passionate about traveling! I believe everyone should take the opportunity to travel outside of the country if that opportunity presents itself. I studied abroad last Spring semester in Paris, France and traveled to many different countries and cities. It's such an eye opener to the rest of the world and I'm eager to graduate so I can continue visting these amazing places.


PAIRING SESSIONS
To be honest, I was kind of sceptical about pairing sessions entering Phase 0. Most of my school or college time I found myself enjoying solving problems on my own, so that I can take full credit for my accomplishments, and also I felt that if I work with someone who does not understand the subject enough,I have to slow down; and when working with someone who is good with the topic, it often get more to competing than cooperaring.
But I found it different here. The difference probably is because in programming there are so many different ways to complete same problem, so I find myself being able both to benefit to pairing session by learning something new, and contribute to it. Most of the times I feel eally impressed with how much I learn from person I work with. And I find that I finish problems way faster while pairing, because there is a timeboxing there, and I still work on being able to timebox myself through studying.
So that's on the fun part.
Difficult part for me is to be able to admit when I am struggling and ask questions, so that i really learn instead of just follow my pair's insructions. That is what I try to work on.
FEEDBACK EXPERIENCE
I admit that feedback is not my favourite thing . If session goes well, it is hard to write anything actionable, and most sessions went geat for me.
I think that might be the reason why I don't receive much actionable feedback either. As for kind part, of course I like receiving complements on how good I am, and if it's its specific , makes me feel even better.
I did receive few actionable feedbacks, which I really appreciate. It points out some flaws I did not want to admit, or did not see at all. I do not have problems on receiving feedback, even more, I need to learn to rejec it sometimes , if it is not sincere, or not benefitting for me.
Overall, I find pairing sessions really contributing to my studying process, and I would definitely not be where I am right now with coding without them.


Epstein Prison Guards Arrested
Prison employees facing harsh scrutiny in mysterious death of Epstein
by Zero HedgeTwo federal correctional officers who were on duty the night Jeffrey Epstein died were arrested early Tuesday on federal charges related to their failure to check on him the night he died in his cell, according to the New York Times, citing a person with knowledge of the matter.
“The two federal Bureau of Prisons employees were expected to be charged later Tuesday morning and appear in United States District Court in Manhattan.”
“The charges would be the first to arise from a criminal inquiry into the death of Mr. Epstein, who hanged himself at the Metropolitan Correctional Center in Manhattan while awaiting trial on sex-trafficking charges.” – New York Times
Robert Barnes joins Alex Jones to discuss the latest developments in the Deep State coup.
The guards faced harsh scrutiny after Epstein was found unresponsive in his cell at the Metropolitan Correctional Center in New York City on August 10, after failing to check on him every 30 minutes as required.
Instead, they fell asleep for hours and falsified records to cover up what they had done according to reports.
Prosecutors offered the officers a plea deal according to CNN, which they declined, reporting that “at least one federal prison worker on duty the night before Jeffrey Epstein was found dead in his prison cell was offered a plea deal in connection with the multimillionaire’s death.”
Of the two officers who had the responsibility to monitor Epstein, one was not a detention guard but was temporarily reassigned to that post, according to CNN reporting.
The guard, a man not identified by officials, had previously been trained as a corrections officer but had moved to another position.
Florida Department of Law Enforcement via Getty Images
Rules at the Federal Bureau of Prisons allow people who work in other prison jobs, such as teachers and cooks, to be trained to fill in for posts usually manned by regular guards.
The official ruling on Epstein’s death was suicide, although skeptics have suggested that Epstein’s sudden death was all too convenient as it also buried the toxic secrets of countless implicated “luminaries” and Wall Street and Beltway VIPs across all sectors of US life.
At the end of October, prominent forensic expert Michael Baden refuted the official narrative, stating at the end of October that Epstein was “strangulated.”
Larry Nichols joins The Alex Jones Show to break down the corrupt establishment’s intentions to crush the will of the people.
The Black Friday sales have arrived early! Get up to 70% off our hottest products as well as free-shipping and double Patriot Points while the sale lasts!


{% if league.team_set.all %}
{% for team in league.team_set.all %}
{{team.name}}
{{team.user.username}}
{% for player in team.player_set.all %}
{{player|color_by_role}}:
{{player.role}}
{% endfor %}
budget remain: {{team.budget}}
total goalkeepers to buy: {{team|gk_to_buy:league}}
total defenders to buy: {{team|def_to_buy:league}}
total players to buy: {{team|mid_to_buy:league}}
total players to buy: {{team|forw_to_buy:league}}
total players to buy: {{team|total_to_buy:league}}


Microsoft AZ-900 Certification - Study Guide
Links to help you study for and pass the Microsoft MD-100 Certification Test
- Objective
- Azure Fundamentals Badge
- Prerequisites
- Background
- Exam Details
- Microsoft Learning path
- External Links
- Other Training Options
- Summary
Objective
To provide a one-stop shop for all the topics covered in the Microsoft AZ-900 Certification exam.
Azure Fundamentals Badge
Link to my Acclaim Badge
I passed this exam with very hands-on experience with Azure and only used the MS Learning path to pass the exam. Don’t be intimidated!
Prerequisites
General Windows Operating System Knowledge
General Understanding of Cloud Computing Concepts
(Optional) Account at the Microsoft Learn site to track your progress as you progress through the training modules
Background
Candidates for this exam should have foundational knowledge of cloud services and how those services are provided with Microsoft Azure. The exam is intended for candidates who are just beginning to work with cloud-based solutions and services or are new to Azure.
Azure Fundamentals exam is an opportunity to prove knowledge of cloud concepts, Azure services, Azure workloads, security and privacy in Azure, as well as Azure pricing and support. Candidates should be familiar with the general technology concepts, including concepts of networking, storage, compute, application support, and application development.
Azure Fundamentals can be used to prepare for other Azure role-based or specialty certifications, but it is not a prerequisite for any of them.
Exam Details
The AZ-900 exam measures your ability to understand the following concepts:
- Cloud concepts
- Core Azure services
- Security, privacy, compliance, and trust
- Azure pricing and support.
The AZ-900 exam costs $99.00
Microsoft Learning path
Free training is available at the MS Learn site.
The AZ-900 Learning Path contains 12 modules that align with the areas covered on the exam
- Cloud Concepts - Principles of cloud computing
- Create an Azure account
- Core Cloud Services - Introduction to Azure
- Core Cloud Services - Azure architecture and service guarantees
- Core Cloud Services - Manage services with the Azure portal
- Core Cloud Services - Azure compute options
- Core Cloud Services - Azure data storage options
- Core Cloud Services - Azure networking options
- Security, responsibility, and trust in Azure
- Apply and monitor infrastructure standards with Azure Policy
- Control and organize Azure resources with Azure Resource Manager
- Predict costs and optimize spending for Azure
External Links
the following links were gathered from the 12 modules in the AZ-900 learning path
Azure Fundamentals Learning Path
Other Training Options
Summary
- Have a question?
- Find an error?
- Have a suggestion on how to improve this page?


| core/admin/public/controllers/ |
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16% |
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16.67% |
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68.18% |
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80% |
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CONGRATULATIONS! You now know a few things about Harrison!
Bonus facts about Harrison
Harrison's Top Ten Favorite Cheesy Movies
- The Avenging Disco Godfather
- The Warriors
- The Stuff
- The Post Man
- Water World
- Lost in Space
- Cube
- Crack in the World
- Attack of the Killer Tomatoes
- Flash Gordon


Software Lessons I learned in 2019
Matt Trask • December 29, 2019
Read Time: 7 mins
software skillsI looked back on things I did in the last year in my life. Things like amount of books I read, miles I cycled, how many trips to Ikea in Atlanta I took etc. I figured that it would also be good to look back on lessons I learned about software design.
Never Let Perfect be the enemy of Shippable
I always thought code had to be a: perfect, b: complicated and c: elegant. I don't know where these ideas came from but they stuck with me for years. Elizabeth Smith tried hard to instill in me the complete opposite: the best code is the code that works, gets the job done, and creates value.
These days the deploy processes are getting easier and quicker. PRs can be created quickly and your team can get to a point where you can get a PR deployed to production in under an hour. With all that said, the focus should be getting code that creates value out in production first, and then going back to refactor it to a better solution.
YAGNI
A good friend of mine, Jason McCreary preaches this and I think it needs to be one of the first things to consider when building a feature. No, Im not saying that you aren't going to need the feature, but rather you probably aren't going to need everything you are planning on doing when creating the feature.
Lets look at a potential Laravel application. The ways I've been taught over the years are wide and varied. Some people who use Laravel prefer the path of least possible resistance, so their code path may look like:
request -> router -> controller -> response
where in the controller they do all the business logic from querying their models, request validation and anything else they may need to do all in the controller action. The way I prefer looks like:
request -> router -> validation -> controller -> service -> repository -> service -> controller -> response
That's a lot of moving parts for what is probably an application that doesn't need half of that. However I put a lot of emphasis on SOLID and Clean Design. But! In the real world (read the job that gives me money), there is a balance of getting code shipped to create value and maintaining code that other developers can understand. Thats where I bring in YAGNI, or "You Aren't Gonna Need It". I don't need a service layer or the repository layer if I want to get the job done quick. However, I can probably pick one of those two layers and break things up to make it a little more clean (in my opinion) and readable for other developers.
This goes hand in hand with the first point. If you get down in a rabbit hole, stop yourself and ask "Do I need this? Can the feature ship without it?". If the answer is "yes" and "yes", call YAGNI and don't worry about being perfect.
HATOEAS is a terrible acronym
I came up with a saying, and a sticker, this year called "HATEOAS and chill". I thought about writing a talk but Im not sure there is enough content. However one conclusion I came to is that HATEOAS
is a terrible acronym for something that has been over complicated to the point of avoidance. What is HATOEAS? It stands for Hypermedia As The Engine Of Application State
. That's a lot to say that your REST API should provide links with your resources for discoverability. Why should your API return links, or hypermedia? It comes from a core concept of REST wherein the API is stateless, so it does not store data about the "session" or request. So to provide information on where the client should go next, the response should have links to give hints as to where to go next.
Links. Thats all it is. Lets use a users response as an example (this is just plain JSON, not JSON:API or anything like that for the sake of the example):
{
"_metadata":
{
"page": 5,
"per_page": 20,
"page_count": 20,
"total_count": 521,
"Links": [
{"self": "/products?page=5&per_page=20"},
{"first": "/products?page=0&per_page=20"},
{"previous": "/products?page=4&per_page=20"},
{"next": "/products?page=6&per_page=20"},
{"last": "/products?page=26&per_page=20"},
]
},
"records": [
{
"id": 1,
"name": "Widget #1",
"uri": "/products/1"
},
{
"id": 2,
"name": "Widget #2",
"uri": "/products/2"
},
{
"id": 3,
"name": "Widget #3",
"uri": "/products/3"
}
]
}
In the example, we show the client some links it may find interesting such as the current uri, how to get the next set of paginated data, the previous, the first and last. These links may also be used for relational data like pointing to a user's profile in a list of users.
But the point is that HATEOAS, while it sounds cool, complicates something to the point where people are unsure how to use it. So let's stop saying HATEOAS, and instead say "links" and uncomplicate this concept. All we are doing is returning links, which in of itself is pretty straight forward.
You can build scalable things with boring tech
The job I had at the beginning of the year was a massive application built on Symfony, Doctrine, Plain PHP Objects, and jQuery. It worked well and worked pretty fast. Was it the latest and greatest technology? Nope. Did it get the job done? Yes. Was there any kind of fear around upgrading things like the framework, PHP version, or anything else? Nope because this stuff was so boring it was routine to upgrade things.
You don't need the latest and greatest things to build applications that make money. It's totally cool to use something old and reliable. Why do you think there are so many old Honda Accords on the road? It's not because they are flashy and show off status! It's because they work, any mechanic can work on it, and it will probably survive the a nuclear explosion.
One thing that resonated with me this year is that software is not a popularity contest. You shouldn't pick a tech stack because it's popular and all the rage, but because it solves the problem you have and gives you confidence that it will be maintainable for years to come. If you think that the most popular framework solves that problem, then have fun. But don't sleep on the older, less cool tools. They are still out there creating value.
OpenAPI is gonna change the API Ecosystem
I was introduced to OpenAPI sometime in 2018 and gave a talk at a conference about it. It was eye opening how brilliant a specification around API tooling and documentation is. Judging by the tools on OpenAPI.tools, people agree with that statement. We merge at least a project a week with people coming up with new ways to building tooling around the specification. If you are building a REST API in 2020, look at OpenAPI before you write a single line of code. The way the spec is laid out, you will save time up front by thinking through what the endpoint, the request, the headers, and the response will look like.
 The average person probably never uses anything they learned in Algebra 2, physics or world history. What is rarely taught are things like how to deal with emotions, how to maintain friendships and what to do with your money. Developers generally make a high salary and yet most have no idea what to do with it. Sure you need to cover bills, but what else? Many people I know aren't sure how to do a budget, what a 401k is or why you should care, and how to make sure you will have enough to retire on.
I dont know a good resource for this but I wish I could figure it out, because its a topic I know I never was taught so I imagine its the same for others.
What did you learn this year?
Cheers!


Aliasing¶
add_stream_alias
¶
Allows you to create secondary name(s) for internal streams. Once an alias is created the localstreamname cannot be used to request playback of that stream. Once an alias is used (requested by a client) the alias is removed. Aliases are designed to be used to protect/hide your source streams.
Required:
localStreamName (str): | |
|---|---|
| The original stream name. | |
aliasName (str): | |
| The alias alternative to the localStreamName. |
Optional:
expirePeriod (int): | |
|---|---|
| The expiration period for this alias. Negative values will be treated as one-shot but no longer than the absolute positive value in seconds, 0 means it will not expire, positive values mean the alias can be used multiple times but expires after this many seconds. The default is -600 (one-shot, 10 mins). |
Example:
api.add_stream_alias('bunny', 'video1', expirePeriod=-300)
list_stream_aliases
¶
Returns a complete list of aliases.
Example:
api.list_stream_aliases()
http://docs.evostream.com/ems_api_definition/liststreamaliases
remove_stream_alias
¶
Removes an alias of a stream.
Required:
aliasName (str): | |
|---|---|
| The alias to delete |
Example:
api.emove_stream_alias(aliasName='video1')
http://docs.evostream.com/ems_api_definition/removestreamalias
flush_stream_aliases
¶
Invalidates all streams aliases.
Example:
api.flush_stream_aliases()
http://docs.evostream.com/ems_api_definition/flushstreamaliases
add_group_name_alias
¶
Create secondary name for group name.
Required:
groupName (str): | |
|---|---|
| The original group name. | |
aliasName (str): | |
| The alias alternative to the group name. |
Example:
api.add_group_name_alias(groupName='MyGroup', aliasName='TestGroupAlias')
http://docs.evostream.com/ems_api_definition/addgroupnamealias
flush_group_name_aliases
¶
Invalidates all group name aliases.
Example:
api.flush_group_name_aliases()
http://docs.evostream.com/ems_api_definition/flushgroupnamealiases
get_group_name_by_alias
¶
Returns the group name given the alias name.
Required:
aliasName (str): | |
|---|---|
| The group name alias. |
Example:
api.get_group_name_by_alias(aliasName='TestGroupAlias')
http://docs.evostream.com/ems_api_definition/getgroupnamebyalias
list_group_name_aliases
¶
Returns a complete list of group name aliases.
Example:
api.list_group_name_aliases()
http://docs.evostream.com/ems_api_definition/listgroupnamealiases
remove_group_name_alias
¶
Removes an alias of a group.
Required:
aliasName (str): | |
|---|---|
| The alias alternative to be removed from the group name. |
Example:
api.remove_group_name_alias(aliasName='TestGroupAlias')
http://docs.evostream.com/ems_api_definition/removegroupnamealiases
list_http_streaming_sessions
¶
Lists all currently active HTTP streaming sessions.
Example:
api.list_http_streaming_sessions()
http://docs.evostream.com/ems_api_definition/listhttpstreamingsessions
create_ingest_point
¶
Creates an RTMP ingest point, which mandates that streams pushed into the EMS have a target stream name which matches one Ingest Point privateStreamName.
Required:
privateStreamName (str): | |
|---|---|
| The name that RTMP Target Stream Names must match. | |
publicStreamName (str): | |
| The name that is used to access the stream pushed to the privateStreamName. The publicStreamName becomes the streams localStreamName. |
Example:
api.create_ingest_point(privateStreamName='theIngestPoint', publicStreamName='useMeToViewStream')
http://docs.evostream.com/ems_api_definition/createingestpoint
remove_ingest_point
¶
Removes an RTMP ingest point.
Required:
privateStreamName (str): | |
|---|---|
| The Ingest Point is identified by the privateStreamName, so only that is required to delete it. |
Example:
api.remove_ingest_point(privateStreamName='theIngestPoint')
http://docs.evostream.com/ems_api_definition/removeingestpoint
list_ingest_points
¶
Lists the currently available Ingest Points.
Example:
api.list_ingest_points()
http://docs.evostream.com/ems_api_definition/listingestpoints


Module providing the public functions of the magni.imaging subpackage.
Reshape x from matrix to vector by stacking columns.
| Parameters: | x (ndarray) – Matrix that should be reshaped to vector. |
|---|---|
| Returns: | ndarray – Column vector formed by stacking the columns of the matrix x. |
See also
Notes
The returned column vector is C contiguous.
Examples
For example,
>>> import numpy as np
>>> from magni.imaging._util import mat2vec
>>> x = np.arange(4).reshape(2, 2)
>>> x
array([[0, 1],
[2, 3]])
>>> mat2vec(x)
array([[0],
[2],
[1],
[3]])
Reshape x from column vector to matrix.
| Parameters: |
|
|---|---|
| Returns: | ndarray – Matrix formed by taking n columns of lenght m from the column vector x. |
See also
Notes
The returned matrix is C contiguous.
Examples
For example,
>>> import numpy as np
>>> from magni.imaging._util import vec2mat
>>> x = np.arange(4).reshape(4, 1)
>>> x
array([[0],
[1],
[2],
[3]])
>>> vec2mat(x, (2, 2))
array([[0, 2],
[1, 3]])


Cosmic Girls are ready to ride in 'As You Wish' group teaser images
by germainejCosmic Girls have revealed their group teaser images for 'As You Wish'.
Like their individual teasers, the Cosmic Girls are continuing their sharp, equestrian-inspired concept in suede jackets, riding pants, and boots. As previously reported, Cosmic Girls' seventh mini album 'As You Wish' marks their first comeback in approximately 5 months since the release of their special summer album 'For The Summer'.
'As You Wish' drops on November 19 KST. Stay tuned for updates!


delta-air-lines
Businessmodel of Delta Air Lines
Customer Segments
Delta Air Lines serves a range of customers, including both general consumers and commercial entities. The majority of the Company’s customers are general passengers, comprising individual travellers, groups and families. While Delta Air Lines offer competitively priced air fares, it is not a low-cost airline and as such does not market itself to customers seeking the cheapest prices.
The Company also provides corporate travel management services to professionals, and provides a specialist program for small and medium-sized enterprises to ensure that they receive a good return on their investment in air travel. Commercial and general consumer customers are also provided cargo and shipping services, targeted largely at customers wishing to transport pets, pharmaceuticals, perishables, and high-value items.
Delta Air Lines derives the majority of its revenue from its domestic market of the US. It also serves a number of international customers divided into geographic segments named Atlantic, Pacific and Latin America.
Value Propositions
Delta Air Lines provides value to clients in the following ways:
- Its broad network of domestic and international destinations, with the Company providing flights across all major US hubs, as well as international services across the Atlantic, Pacific and Latin America;
- Its industry standing and reputation as a reliable carrier, with the Company being an established name in the industry associated with quality and being one the largest, most popular airlines in the US;
- Its frequent-flyer reward scheme, through which customers are able to earn rewards, discounts and gain access to deals from a range of commercial partners;
- Its network of airline partnerships, including domestic and international operators that improve the Company’s access to foreign markets and provide greater connectivity to passengers; and
- Its in-flight services and customer care, with the Company providing on-board entertainment services, Wi-Fi connectivity, and food and drinks. ### Channels
Delta Air Lines operates a website at www.delta.com, which provides information on the Company’s services, schedule, destinations and regulations. The Delta Air Lines website also hosts a booking portal, through which customers are able to book flights and hotels. An increasing number of sales are being through the Company’s online sales, as well as through its mobile app and mobile website. Additionally, Delta Air Lines operates an online store at www.deltashop.com, where customers can purchase Delta Air Lines-branded merchandise and travel accessories.
The company also operates a direct sales team, which can arrange bookings over the phone. Delta Air Lines’s own sales channels are supplemented by a network of partners, including physical travel agencies and ticketing offices across Africa, Asia, Europe, Australia, the Middle East, and the Americas, as well as numerous online travel agencies and global distribution systems. Delta Air Lines additionally operates its own kiosks across numerous airports worldwide, through which customers are able to access assistance.
Customer Relationships
Customers are able to browse flight schedules, make flight reservations, book hotels and transportation, check in for flights and manage user accounts on a self-service basis through both the Delta Air Lines website and mobile apps. This requires no direct interaction with members of the Company’s sales team.
Customers are also able to contact Delta Air Lines directly over the phone to make bookings, receiving a more personalised experience. The Company’s personal care extends to its in-airport services, where members of the Company’s staff are available to assist customers in-person throughout the check-in flight process.
Delta Air Lines provides support to customers after bookings have been made, handling enquiries and complaints over the phone and via email, facilitating cancellations, refunds, and booking adjustments. Customers are also able to interact directly with Delta Air Lines through its social media accounts with Twitter and Facebook.
Key Activities
Delta Air Lines provides scheduled air transportation and cargo services for general passengers, professionals and commercial customers both domestically in the US and internationally across Europe, Europe, Asia Pacific, the Americas, the Middle East, and Africa.
The Company operates via two separate but related business segments: the Airline segment and the Refinery segment. The Airline segment is managed as a single business unit that covers the Company’s global passenger travel and freight services, as well as cargo services, aircraft maintenance, repair and overhaul services, staffing services for third parties, vacation wholesale operations and private jet operations. The Company’s Refinery segment is concerned with the production of gasoline, diesel and jet fuel. Delta Air Lines operates through a number of subsidiary companies, notably Monroe Energy and MIPC, which jointly operate the Trainer Refinery near Philadelphia.
Key Partners
Delta Air Lines collaborates with various companies in order to provide its customers with a comprehensive and quality service. This includes a number of partnerships with other airlines and air travel providers. These partnerships are divided as follows:
- Codesharing Partners, comprising domestic and international air carriers through which the Company is able to extend its own services, selling connecting flights for airlines such as Alaska Airlines and WestJet through its own sales channels;
- Joint Venture Partners, with which the Company provides joint services, such as its deals with Air France-KLM-Alitalia, and Virgin Atlantic; and
- Alliance Partners, with which the Company integrates its flight network and offers reciprocal frequent flyer benefits. Delta Air Lines has alliance partnerships with Aeromexico, China Eastern and GOL, and participates in the SkyTeam and SkyMiles program.
Delta Air Lines also has a number of partnerships as part of its rewards scheme, with participating companies including Hertz, Europcar, Vinesse Wine Clubs, Nicor Solutions, Biscoff Store, and Alamo.
Key Resources
Delta Air Lines’s key resources are its fleet of aircraft, its physical infrastructure and ground facilities, its oil refinery assets, its sales channels – notably its online channel, its IT infrastructure, its partnerships and alliances, and its personnel. Delta Air Lines controls a fleet of more than 900 aircraft of varying sizes, including aircraft operated by regional carrier partners on the Company’s behalf.
Cost Structure
Delta Air Lines incurs costs in relation to the acquisition and maintenance of its aircraft, the purchase and supply of consumables – in particular jet fuel, the operation and maintenance of its oil refining assets, its implementation of sales and marketing programs, the maintenance of its physical infrastructure and ground support facilities, the management of its partnerships and alliances, the maintenance of its IT infrastructure, and the retention of its personnel.
Delta Air Lines’s most significant costs relate to the payment of salaries and benefits to its workforce of approximately 83,000 full-time or equivalent staff, amounting in 2015 to $8.78
Revenue Streams
Delta Air Lines generates its revenue through the provision of air travel services to consumers and commercial entities. Its revenue is reported in the following categories:
- Passenger, comprising revenue derived from passenger air fares and ancillary services provided through the Company’s mainline operations and its network of regional partner carriers;
- Cargo, comprising revenue derived from the provision of freight and shipping services on both domestically and internationally through the use of cargo space on regularly scheduled passenger aircraft; and
- Other, comprising operations such as aircraft maintenance, repair and overhaul, staffing services, vacation wholesale operations, and private jet operations. In 2015 Delta Air Lines generated $40.70 billion in total operating revenue, up slightly on the $40.36 billion recorded by the Company the previous year. More than 70% of this revenue is attributed to the Company’s mainline passenger air services, which generated $28.90 billion in revenue for the year. Regionally operated air services generated $5.90 billion.


--- title: Tutorial - Data Wrangling with fastai2 keywords: fastai sidebar: home_sidebar summary: "In this tutorial, we'll work on 'Stanford-Dogs' Dataset which is a subset of Imagenet, considered for fine-grained classification. We'll work on extracting labels from path, transforming it to breed names for understandability and performing train/val/test splits" description: "In this tutorial, we'll work on 'Stanford-Dogs' Dataset which is a subset of Imagenet, considered for fine-grained classification. We'll work on extracting labels from path, transforming it to breed names for understandability and performing train/val/test splits" ---
I'll be using Kaggle dataset for the same. You should have Kaggle's CLI installed and put your kaggle.json file in ~/.kaggle
directory (or /root/.kaggle
if on colab).
!kaggle datasets download -d jessicali9530/stanford-dogs-dataset -p data
!cd data && mkdir stanford-dogs &&\
unzip -qq stanford-dogs-dataset.zip -d stanford-dogs &&\
rm -rf stanford-dogs-dataset.zip
%cd data
!mv stanford-dogs/annotations/Annotation stanford-dogs/images/Images stanford-dogs
!rm -rf stanford-dogs/annotations stanford-dogs/images
%cd /content
!wget http://vision.stanford.edu/aditya86/ImageNetDogs/lists.tar
!tar -xf lists.tar test_list.mat && rm -rf lists.tar
from fastai2.vision.all import *
from fastai2.data.all import *
from fastprogress import progress_bar
from scipy.io import loadmat
test_list = loadmat('test_list.mat');
base = Path('data/stanford-dogs/Images')
test_fns =[base/l[0][0] for l in test_list['file_list']]
path = Path('data/stanford-dogs')
fnames = get_image_files(path/'Images'); fnames[:5]
Keeping test images aside for benchmark, will split train set into train/val
train_fns = list(set(fnames) - set(test_fns))
Following steps are performed:
vocab
of classes involvedvocab
to CategoryMap
to get o2i
mappinglabel
(integer)X
is the file names and y
is repective integer labelre.split(r'-',"n02098105-soft-coated_wheaten_terrier",maxsplit=1)
impath = path/'Images';
dirs = L(impath.ls()).map(attrgetter('name'));
id2label = defaultdict()
for d in dirs:
k,v = re.split(r'-',d,maxsplit=1)
id2label[k]=v
id2label["n02098105"]
def get_lbl(o): return re.split(r'-',str(o),maxsplit=1)[0]
vocab = dirs.map(get_lbl); vocab
catm = CategoryMap(vocab,sort=False)
# to check the mapping
#print(catm.o2i)
X = array(train_fns)
ypipe = Pipeline([RegexLabeller(r'/(\w+)_\d+.jpg$'), catm.o2i.__getitem__])
y = array(L(train_fns).map(ypipe))
X[0], y[0], catm[y[0]]
ypipe
transforms filepath to index while catm
transforms indices back to labels (class_id)
We'll group a part between '/' and '_' (at the end of string). This will give us imagenet id for that class, We can use id2label
created earlier to map those ids to breed names
pat = re.compile(r"/(\w+)_\d+.jpg$")
res = pat.search(str(train_fns[105]))
print(f"Path: {train_fns[105]}\nLabel: {res.group(1)}\nBreed: {id2label[res.group(1)]}")
A csv would be great way to represent all the details associated with each example, including its fold_idx
labeller = RegexLabeller(r"/(\w+)_\d+.jpg$")
lbl_pipe = Pipeline([labeller, id2label.__getitem__])
lbl_pipe(fnames[10])
labels = L(train_fns).map(lbl_pipe)
class_ids = L(train_fns).map(labeller)
Now we have everything needed to create a csv file with Stratified k-folds.
from sklearn.model_selection import StratifiedKFold
skf = StratifiedKFold(n_splits=4,shuffle=True,random_state=47)
df = pd.DataFrame({'image_path': train_fns,
'class_id': list(class_ids),
'label': list(labels)})
df['fold'] = -1
for i, (_, val_idx) in enumerate(skf.split(X,y)):
df.loc[val_idx,'fold'] = i
df.head()
df.to_csv('train.csv')
test_lbls = L(test_fns).map(lbl_pipe)
test_y = L(test_fns).map(ypipe)
test_cls_ids = L(test_fns).map(labeller)
test_df = pd.DataFrame({'image_path': test_fns,
'class_id': list(test_cls_ids),
'label': list(test_lbls),
'y': list(test_y)})
test_df.head()
test_df.to_csv('test.csv')
At this point, you have two csv files:


Yes. Easy Batch uses the reference implementation Hibernate validator to validate domain objects.
The following steps describe how to use Bean Validation API with Easy Batch :
easybatch-validation
module to your dependencies :
<dependency> <groupId>io.github.benas</groupId> <artifactId>easybatch-validation</artifactId> <version>${version}</version> </dependency>
BeanValidationRecordValidator
using the EasyBatchEngineBuilder
:
EasyBatchEngine easyBatchEngine = new EasyBatchEngineBuilder() .registerRecordValidator(new BeanValidationRecordValidator<YourPojoType>()) .build();
No because the JSR 352 is pretty new and Easy Batch does not implement it yet. This is currently being analysed and Easy Batch will probably implement this JSR because it is already designed to split the batch into multiple steps as in JSR 352.
Yes. By default, Easy Batch enables a JMX MBean named io.github.benas.easybatch.core.jmx:type=EasyBatchMonitorMBean
at startup. You can use any standard JMX compliant tool to monitor Easy Batch metrics. For more details about this feature, please refer to the JMX section.
Yes. You do not have to write any specific code to use Easy Batch with Spring. You can configure your batch components in Spring and then register them within Easy Batch engine, that's it! You can find a complete example of using Easy Batch with Spring here.
Easy Batch framework core uses the java.util.logging
API. By default, Easy Batch logs messages to the standard output.
Please refer to official documentation of the the java.util.logging
API for more details about how to customize it.


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TOYS A film review by David Vessell Copyright 1992 David Vessell
Ahort! My first non-music review. Be patient with me.
TOYS [PG-13] Robin Williams, Michael Gambon, Joan Cusack, Robin Wright, LL Cool J. dir. Barry Levinson
Visuals can fool a person into liking a mediocre movie. Hell, I fell hook, line, and sinker for THE LAWNMOWER MAN despite Brosnan and Fahey's embarrassingly bad acting. Long, long ago, I fell for TRON, which is practically devoid of plot. Visuals cannot rescue a movie with neither acting nor a plot. Makes sense, I think.
TOYS does not lack for acting, and the plot is no more groundless than your typical Tim Burton movie. But for some reason, I walked out of the theatre after seeing TOYS feeling less than satisfied.
The general plot goes something like this: Robin Williams is Leslie Zevo, the gently eccentric son of the gently eccentric owner of Zevo Toys who kicks off and leaves the business to his brother, a career military man played by Michael Gambon. Gambon is as eccentric as his deceased brother, but in a much less gentle way, and proceeds to transform the previously light-hearted toy factory into a security-paranoid breeding ground for war toys, real and imagined. The movie eventually leads to a confrontation between Williams and Gambon and...well, go spend your five if you really need to know what goes from here.
Joan Cusack plays Leslie's outer-orbit sister Alsatia, Robin Wright plays a worker who Leslie falls for (and vice versa), and LL Cool J plays Gambon's son, Leslie's cousin. The race thing is never addressed, which is probably just as well, as it leaves an amusing mystery amongst an already heavy suspension of reality.
Individual kudos go to Joan Cusack and LL Cool J. Cusack sparkles as the gentle little-girl space cadet. It would have been all too easy to play Alsatia as a typical slapstick ditz, but instead her characterization suggests a sharp, insightful eccentric. LL Cool J, obviously not an actor by trade, turns in a respectable if amateur performance as the too-serious paramilitary nut who finds it necessary to camouflage himself as a pile of couch cushions when visiting family. Of course, J is a captive of the script and doesn't add all that much to the character, but his deadpan delivery is charming.
It's not that Robin Williams did a bad job, just that he didn't do a spectacular job. After seeing him in GOOD MORNING, VIETNAM and ALADDIN, one expects energy and sheer crazed but tightly controlled chaos. Williams's performance here features small, confined burst of that same mania but Levinson doesn't quite give him enough slack to really sparkle. Williams is also undermined by the script, which starts out strong but crumbles right in the middle of the movie's climax.
Michael Gambon turns in a good role as the evil military man who takes his toys a few steps too far. Though his character grows more and more ridiculous as the movie wears on, Gambon holds you and you accept it. Though his funny moments in the movie are few and far between, he makes the most of them, particularly the scene where he approaches his invalid, mush-mouthed father for advice on whether or not to take over the company.
Robin Wright is fun to look at, and she does a competent job of playing Williams's love interest, but that's about it.
Did I mention visuals? The toys, the mammoth factory sets, the incredible shrinking room where Williams consults with his R&D team on fake vomit, the computer animation. Though the movie is not the special effect tour de force that THE LAWNMOWER MAN was, it doesn't need to be. But the visuals and cinematography make you feel wide open and claustrophobic at all the right times.
One aspect of the movie that most people are bound to miss is the excellent soundtrack. Hans Zimmer and Trevor Horn provide most of the incidental music and write a good portion of the songs used. Wendy and Lisa provide "The Closing of the Year," which starts as a gentle Christmas song and jumps into grand orchestral children's choir funk stomp mode soon after. Pat Metheny lends his guitar to another gentle instrumental (the title of which I can't for the life of me recall), which metamorphoses into a hauntingly weird operatic number once Grace Jones's vocals join it later. But the soundtrack is made by two absolutely excellent tracks, "Happy Workers" by Tori Amos (yes, Tori completists have another album to buy) and "The Mirror Song" by Thomas Dolby. The former accompanies the first panoramic factory scene, the latter used in a mock music video staged by Leslie and Alsatia and is probably the best song Dolby has done in years.
Well, wrap it all up together and what do you get? Eh. The movie starts out great, then stalls, then gains momentum as the confrontation between Williams and Gambon begins, then crashes horribly on the ending. The ending is what ruins the movie. Too bad, because otherwise TOYS would be a movie talked about for years to come. Without the ending, TOYS would have rated a +3 on the davE scale. Instead....
davE rating: +1
(davE scale -5 to +5 linear)
-- *davE* Making the world safe for intelligent dance music<EMAIL_ADDRESS>########## David L. Vessell -- Bradley University Computing Services #########
.
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


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pdfbook(1) pdfbook(1) NAME pdfbook - put the pages of PDF files into 2-up signatures SYNOPSIS pdfbook [--short-edge] [OPTION [OPTION] ...] [SRC [PAGESPEC] [SRC [PAGE‐ SPEC]] ...] DESCRIPTION pdfbook makes 2-up versions of PDF files, with the pages ordered as sig‐ natures. The default signature size is 4: to change this, use the option '--signature N', where N is a multiple of 4 (alternatively use '--signa‐ ture* N' for right-edge binding). The default is to make pages suitable for long-edge binding. For short- edge binding, use '--short-edge' as the first argument; this will only work if the LaTeX package 'everyshi' is installed. The default output page orientation is landscape. To change this, use the '--no-landscape' option. By default, the option '--booklet true' is used (see the pdfpages manual for details). To turn this off, just specify '--booklet false'. If no source PDF file ('SRC') is specified, input is from /dev/stdin. If 'PAGESPEC' is omitted, all pages are processed. Source files are processed sequentially into a single output unless the '--batch' option is used, in which case they are processed separately. pdfbook is a simple wrapper for pdfjam, which provides a front end to many of the capabilities of the pdfpages package for pdflatex. A working installation of pdflatex, with the pdfpages package, is required. pdfbook operates on one or more PDF files, and (either with the '--batch' option or with '--outfile DIR' where 'DIR' is a directory) the resulting files have the suffix '-book' applied to their names by default. To change the suffix, use the '--suffix' option, for example pdfbook --suffix 'sig4' --batch myfile1.pdf myfile2.pdf will result in files named 'myfile1-sig4.pdf' and 'myfile2-sig4.pdf'. pdfbook is part of the "PDFjam" package of tools, whose homepage is at http://www.warwick.ac.uk/go/pdfjam. SETUP See http://go.warwick.ac.uk/pdfjam . USAGE For the other available options and site/user defaults, see the output of pdfjam --help For further information and some examples see http://go.war‐ wick.ac.uk/pdfjam . LIMITATIONS AND BUGS pdfbook does not work with encrypted PDF files, and does not preserve hyperlinks. Please report bugs! See the website at http://www.warwick.ac.uk/go/pdfjam . LICENSE PDFjam is distributed under the GNU public license. SEE ALSO pdfjam(1). AUTHOR pdfbook is written and maintained by David Firth as part of the PDFjam package. 10 March 2010 pdfbook(1)


--- layout: page status: publish published: false title: GAP Landcover Classification (Vector) author: display_name: Jessie Pechmann login: jpechmann email<EMAIL_ADDRESS>url: '' author_login: jpechmann author_email<EMAIL_ADDRESS>wordpress_id: 3454 wordpress_url: http://gis.utah.gov/?page_id=3454 date: '2011-11-18 09:55:28 -0700' date_gmt: '2011-11-18 16:55:28 -0700' categories: [] tags: [] ---
Data Type: Map Data
Steward(s): AGRC, Local Government partners
Description: Address points for Utah counties (10 complete and 6 partial). This dataset is not yet available, but will hopefully be available to the public soon.
Abstract:
In Utah, addresses are assigned by local government addressing authorities using a defined addressing system, or grid. Typically, an addressing system consists of an origin (0,0) point, a north-south axis, an east-west axis, a
convention that governs the assignment of addresses, typically expressed as the number of (100 address range) blocks per mile, and a boundary within which which addresses are assigned using this particular grid. This dataset contains the NW, NE, SE, and SW address quadrants for all address systems in Utah.
Description: NW, NE, SE, and SW Address grid quadrants for all address grids in Utah.
Warranties: There are no constraints or warranties with regard to the use of this dataset.
Last Update: December 1, 2011
POC: Jessie Pechmann, AGRC
Links: Notes on Utah Addressing Systems (Address Grids)


Donate to the Custom Web extension
Or you could help by reporting bugs on the github issue tracker.
While I'm open to feature requests, I consider the lack of a big
feature set itself to be a feature.
But, more awesomeness is always
welcome :). Thank you for using Custom Web.
Also, I'm no designer. If you are one, any suggestions and tips on that end
are also welcome. Thanks!


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January 13
Because he hath set his love upon me, therefore will I deliver him: I will set him on high, because he hath known my name. He shall call upon me, and I will answer him: I will be with him in trouble; I will deliver him, and honor him.
Psalm 91:14-15
God is called by many names. He is the Lord, our Healer, our Provider, our Banner, and our Righteousness. He also promises to be our Deliverer. In this troubled world that may very well be what we need Him to be most often.
But there are many believers who never experience God's mighty delivering power because, instead of walking closely with Him day by day, they wait until danger strikes to call upon Him. That just doesn't work. If you want God to rescue you in the bad times, you have to fellowship with Him in the good times. Why? Because God responds to faith. Our faith, not our need, is what causes Him to act on our behalf. And we'll never be able to develop that kind of faith, that kind of trust and confidence in Him, if we don't spend enough time with Him to get to know Him.
First John 3:20-22 tells us that we have confidence toward God when we do the things that are pleasing in His sight. If we only serve God half-heartedly, then we will not have confidence in Him to deliver us from trouble. When danger surrounds us, instead of being filled with faith, we'll find ourselves paralyzed with fear.
Love and serve God with your whole heart. Walk closely with Him in the good times. Then, when you need Him to be your Deliverer, you'll know without a doubt you can trust Him to care for you!
Scripture Reading: Psalm 108:1-6


WALKING AND TALKING A film review by James Berardinelli Copyright 1996 James Berardinelli
RATING (0 TO 10): 7.0 Alternative Scale: *** out of ****
United States, 1996 Release date: beginning 7/96 (limited) Running Length: 1:30 MPAA Classification: R (Sex, profanity, mature themes) Theatrical Aspect Ratio: 1.85:1
Cast: Catherine Keener, Anne Heche, Liev Schreiber, Todd Field, Kevin Corrigan Director: Nicole Holofcener Producers: Ted Hope and James Schamus Screenplay: Nicole Holofcener Cinematography: Michael Spiller Music: Billy Bragg U.S. Distributor: Miramax Films
"I wonder if I'll ever know what it's like to not break up with someone," laments Amelia (Catherine Keener). Meanwhile, her lifelong best friend, Laura (Anne Heche), is about to tie the knot with her beau, Frank (Todd Field). This dynamic -- the relationship between a perpetually single young woman and her soon-to-be-wed soul-sister -- forms the core of Nicole Holofcener's debut feature, WALKING AND TALKING. And, while the two women's romantic entanglements are part of the story, it's the chemistry between them that keeps the film on the right track.
WALKING AND TALKING is real. It's also, by turns, funny, charming, and even a little touching. Holofcener has an ear for dialogue, and, as is often the case with the best character-centered films, a chief pleasure is simply enjoying what the participants have to say to one another. The two leading ladies represent another asset. Anne Heche (one of Alec Baldwin's victims in THE JUROR) and Catherine Keener (LIVING IN OBLIVION) are effective in both comic and dramatic scenes. Each has mastered the knack of giving a completely unforced performance. Once they step into character, they never slip out.
WALKING AND TALKING successfully navigates a minefield of familiar territory. The storyline, which is essentially a slice-of-life, doesn't attempt anything big, but it offers a number of small surprises. Just when you think you know how one romantic entanglement is going to turn out, Holofcener throws in a little twist. That's not to say that the plot is masterful (in fact, it's rather simple), but there's enough there to hold the viewer's interest.
While the meat of the movie is about Amelia and Laura, and the manner in which facing the future forces them to acknowledge unwanted changes in their relationship, there are a few men around. The most prominent is Frank, Laura's intended. Played by Todd Field (RUBY IN PARADISE, TWISTER), he seems to be the rock-solid sort, and it's difficult to say whether Amelia is more jealous of his steadiness or his closeness to Laura. Then there's Andrew, Amelia's screwed-up best male friend.  Finally, there's Bill (Kevin Corrigan), the "ugly" video store clerk who tries his best to worm his way into Amelia's heart. And, although he turns her off by laughing at her dying cat and taking her to a nerds-only, horror movie convention, she's the one who places the greatest obstacle in the way of a relationship.
While WALKING AND TALKING is pretty light fare, it's not without substance. Both Amelia and Laura are confused about the future, albeit in different ways. They're afraid of change, even though they recognize it's inevitable, and each suffers from the typical Generation X lack of self-esteem. Amelia sits alone in her room, stroking her cancer-riddled cat and listening to "music to slit your wrists by", and Laura bemoans her career choice, saying that she's not a good therapist because she makes her patients worse. Even though these two don't need each other the way they once did, their mutual importance is still apparent.
WALKING AND TALKING ends by giving us closure without wrapping everything up in a neat package. Because the main characters are both women, the writer/director is a woman, and the themes relate to female bonding, this will inevitably be pegged as a "chick flick." That's an unfortunate appellation, because WALKING AND TALKING has universal appeal. Many of the issues it approaches have less to do with gender than with the simple condition of living in the '90s -- something we are all afflicted with.
- James Berardinelli e-mail<EMAIL_ADDRESS>ReelViews web site: http://www.cybernex.net/~berardin
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
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Related links: index of all rec.arts.movies.reviews reviews


Package imagingbook.calibration.zhang
Core classes of the camera calibration library.
-
Class Summary Class Description Calibrator This is an implementation of the camera calibration method described in Z.Calibrator.Parameters Inner class representing a set of parameters for instantiating new objects of type ofCalibrator
.Camera A camera model with parameters as specified in Zhang's paper.CameraIntrinsicsEstimator This class defines methods for estimating the intrinsic camera parameters from multiple homographies.ExtrinsicViewEstimator This class defines methods for estimating the extrinsic camera parameters from multiple homographies.HomographyEstimator This class defines methods for estimating the homography (projective) transformation between pairs of 2D point sets.HomographyEstimator2 Deprecated. InterCameraMapping This class represents the 2D geometric transformation for an image taken with some camera A to an image taken with another camera B.NonlinearOptimizer Abstract super-class for non-linear optimizers used for final, overall optimization of calibration parameters.NonlinearOptimizerAnalytic Nonlinear optimizer based on the Levenberg-Marquart method, where the Jacobian matrix is calculated from analytic expressions (obtained with MatLab).NonlinearOptimizerNumeric Nonlinear optimizer based on the Levenberg-Marquart method, where the Jacobian matrix is calculated numerically (i.e., by estimating the first partial derivatives from finite differences).RadialDistortionEstimator This class defines methods for estimating the radial lens distortion parametersRectificationMapping This class represents a special geometric mapping for rectifying (i.e., removing the lens distortion from) an image, given the associated camera parameters.ViewTransform Instances of this class represent extrinsic camera (view) parameters.


Friction is what makes things stop. For example, if you drop a ball, you expect it to bounce a bit and then stop.
Drag and drop the ball from a reasonable height.
There are two things at play here: air drag and inelastic collisions. Let me show you!
Air drag
Friction is what makes things stop. For example, if you drop a ball, you expect it to bounce a bit and then stop.
Drag and drop the ball from a reasonable height.
There are two things at play here: air drag and inelastic collisions. Let me show you!


Implements a data model auditor.
This implementation audit IDataModel objects only if they implement IIdentifiable.
Is the object implements ISecuredDataModel this implementation verfy audit records and generated security incidents if data tampering is detected.
Initializes a new instance of DefaultDataModelAuditor.
public Void DefaultDataModelAuditor(auditingConnection, logger, currentPrincipal, currentTenantId)
| Name | Type | Summary |
|---|---|---|
| auditingConnection | IDbAccess | An IDbAccess interface for Auditing. |
| logger | ILogger | Diagnostics sub-system interface. |
| currentPrincipal | ClaimsPrincipal | A ClaimsPrincipal representing the user beeing audited. |
| currentTenantId | Int32 | Identification of the current Tenant. |
| Type | Summary |
|---|---|
| ArgumentNullException | Thrown when auditingConnection is null. -or- When logger is null. -or- When currentPrincipal is null. |
An IDbAccess interface for Auditing.
public IDbAccess AuditingConnection { get; }
A ClaimsPrincipal representing the user beeing audited.
public ClaimsPrincipal CurrentPrincipal { get; }
Identification of the current Tenant.
public Int32 CurrentTenantId { get; }
Whether this auditor requires a database transaction.
public Boolean RequiresTransaction { get; }
Writes an audit record to the audit repository.
public Void AfterDataAction(model)
| Name | Type | Summary |
|---|---|---|
| model | IDataModel | An IIdentifiableIDataModel to be auditted. |
| Type | Summary |
|---|---|
| ArgumentNullException | Thrown when model is null. |
| SecurityException | Thrown when there are error while generating audit data. |
| InvalidOperationException | Thrown when a required fresh data could not be retrieved. |
Prepares the audit process and validates secured models as required.
public Void BeforeDataAction(model)
| Name | Type | Summary |
|---|---|---|
| model | IDataModel | An IIdentifiableIDataModel object to audit. |
| Type | Summary |
|---|---|
| ArgumentNullException | Thrown when model is null. |
| SecurityIncidentException | Thrown when a security incident is created. |


toc: false copyright: false assets: none
You can refer to a step in a replacement algorithm before it occurs in text, like step
You can similarly refer to a step in a replacement algorithm which itself which replaces a step in a replacement algorithm, like step
An algorithm can come before the step it replaces.
This is our sample algorithm.
An algorithm can also come after the step it replaces.
You can even replace steps in replacement algorithms.


Google is a website that has a great sense of affordance. The buttons look like a button, which is what its suppose to look like. Each object has a different styled look so you wouldn’t get the field form and a button confused for one another. Also the auto fill for the text is a really nice feature that adds to the affordance.
The buttons on the page are sometimes also by another button that is actually an ad. This can be sort of confusing because you’re not sure which button actually goes to the site and what button is just an ad. So you will have two objects on the same page that look very similar but both have different functions making the site confusing at times for some people.
The MSU website has a pretty good signal to noise. It categorizes things so when you click on a certain portion of the site if give you the relative information you want and really nothing else. No having any ads on the site also helps achieve this.
Buzz feed has so much noise going on in this website. If you were ever trying to read an article or browse for something on this page it would be a struggle. There is so much extra content that they give you that may have no relevance to what you are looking at or what you want.
Threadless shows a good example of hicks law, for a merchandise website it’s pretty simple. Not to many buttons to get to what you need and want, giving you less choice thus making a quicker decision. A simple page design also helps with the choice of making decisions.
Netflix has so many choices for movies/shows that it gives you right on the screen, making it almost impossible to pick what you should watch. The longer you look for something to watch the harder it gets to pick something and more choices that are available.
This site fits into the golden ratio, the main content, navigation and side bar. All these elements have the golden ratio to them. Everything in this site fits nice into the golden ratio and makes it very appealing to people. Implementing the golden ration in design can help a website become successful.
The original Space Jam website for the movie did surly not sure the golden ratio when designing this website. When navigating the site you are given a very small navigation bar that does not fit in the ratio. If they had done the golden ratio even back then this site might hold up a little bit better.
This site uses thus rule good by putting pictures where most people would look and other less important stuff on the other points. This keeps the emphasize on the important or leading articles while having the other article off to the side and less attractive to the eye.
This site does not use the rule of thirds at all. It seems like everything on this website is just thrown on there with no thought at all of where its going. Your eye just wants to move all around the page and not focus on key points. Does not fit into the rule of thirds grid at all. Seems like all the important information is crammed into one corner.


Autonomous robots, which is mostly about sensing, reasoning and acting, are playing an increasingly essential role in various fields. Sensing allows the robot to construct the maps of its surrounding. After getting the map, the robot can use the method of path planning to generate a path from the starting point to the goal without collision. In order to find the shortest path efficiently, several path planning algorithms are created, such as depth-first search, breadth-first search, A* shortest path algorithm and greedy-best-first search. Without generating the desired path, the robot is not able to take action to move from the starting point to the goal.
The four path planing algorithms, including depth-first search, breadth-first search, A* shortest path algorithm and greedy-best-first search are most commonly used. In this report,we apply the four kinds of algorithms to different maps with various obstacles and compare the result with each other.
In the depth-first search algorithm, the element with the highest priority in the visit queue is the one most recently put into the visit queue. Therefore, the search will keep going in one direction, and change direction when hitting the obstacle or collison while obeying the next one in the visit queue.
In the breadth-first search algorithm, the element with the highest priority in the visit queue is the one most early put into the visit queue. Therefore, the search will keep increasing its search range equally in all direction.
In the A* algorithm, the element with the highest priority in the visit queue is the one with lowest f-score. F-score of a node equals the sum of the known shortest path from the node to the start and the line distance between the node and the goal. Therefore, the search will spread its search range faster in the direction towards the goal.
In the greedy-best-first search, the element with the highest priority in the visit queue is the one with lowest h-score. H-score of a node equals to the line distance between the node and the goal. Therefore, the search will go directly towards the goal unless hitting the obstacles or collison.
The testing results of the four algorithms on the empty map with start [0,0] and goal [4,4] are shown in fig. 1. From table 1, Breadth-first, A* and greedy-best-first search have the same short path length, while depth-first search has much a longer path. The greedy-best-first takes the shortest time to find the goal, while the breadth-first search takes the longest time in searching. For the empty map, greedy-best-first is the best algorithm, as it is accurate and much faster than the others.
Figure 1: the path on the empty map with start
[0,0] and goal [4,4]. The top left figure is by the depth-first search.
The top right figure is by the breadth-first search. The bottom left
figure is by the A* search. The bottom right figure is by the
greedy-best-first search.
| Algorithm | Path length | Visited |
|---|---|---|
| Depth-first | 156.60 | 1569 |
| Breadth-first | 8.00 | 3479 |
| A* | 8.00 | 2213 |
| Greedy-best-first | 8.00 | 80 |
The testing results of the four algorithms on the misc map with start [0,0] and goal [4,4] are shown in fig. 2. From table 2, both breadth-first and A* have the shortest path, while depth-first has the longest. All of the four algorithms take a similar amount of time to find the goal. The greedy-best-first has the shortest time. Between breadth-first and A*, A* is faster. For the misc map, A* is the best, it finds the shortest path and is relatively fast.
Figure 2: the path on the misc map with start [0,0] and goal [4,4]. The top left figure is by the depth-first search.
The top right figure is by the breadth-first search. The bottom left figure is by the A* search. The bottom right figure is by the
greedy-best-first search.
| Algorithm | Path length | Visited |
|---|---|---|
| Depth-first | 123.20 | 1581 |
| Breadth-first | 9.80 | 3223 |
| A* | 9.80 | 2678 |
| Greedy-best-first | 17.0 | 2072 |
The testing results of the four algorithms on the narrow 1 map with start [0,0] and goal [4,4] are shown in fig. 3. From table 3, breadth-first, A* and greedy-best-first have the shortest path. The greedy-best-first is the fastest one. Therefore, for the narrow 1 map, greedy-best-first is the best one.
Figure 3: the path on the narrow 1 map with start [0,0] and goal [4,4]. The top left figure is by the
depth-first search. The top right figure is by the breadth-first search. The bottom left
figure is by the A* search. The bottom right figure is by the
greedy-best-first search.
| Algorithm | Path length | Visited |
|---|---|---|
| Depth-first | 98.60 | 1095 |
| Breadth-first | 8.00 | 1536 |
| A* | 8.00 | 919 |
| Greedy-best-first | 8.00 | 80 |
The testing results of the four algorithms on the narrow 2 map with start [0,0] and goal [4,4] are shown in fig. 4. From table 4, breadth-first, A* and greedy-best-first find the shortest path. The greedy-best-first search have takes the least time. Therefore, for the narrow 2 map, greedy-best-first search is the best one.
Figure 4: the path on the narrow 2 map with start [0,0] and goal [4,4]. The top left figure is by the
depth-first
search.
The top right figure is by the breadth-first search. The bottom left
figure is by the A* search. The bottom right figure is by the
greedy-best-first search.
| Algorithm | Path length | Visited |
|---|---|---|
| Depth-first | 91.60 | 1025 |
| Breadth-first | 11.40 | 2053 |
| A* | 11.40 | 1504 |
| Greedy-best-first | 11.40 | 137 |
The testing results of the four algorithms on the three sections map with start [0,0] and goal [4,4] are shown in fig. 5. From table 5, breadth-first, A* and greedy-best-first find the shortest path. The greedy-best-first search have takes the least time. Therefore, for the narrow 2 map, greedy-best-first search is the best one.
Figure 5: the path on the three sections map with start [0,0] and goal [4,4]. The top left figure is by the
depth-first
search.
The top right figure is by the breadth-first search. The bottom left
figure is by the A* search. The bottom right figure is by the
greedy-best-first search.
| Algorithm | Path length | Visited |
|---|---|---|
| Depth-first | 131.20 | 1494 |
| Breadth-first | 14.20 | 3144 |
| A* | 14.20 | 2395 |
| Greedy-best-first | 14.20 | 905 |
The advantages and the disadvantages of the four algorithms are obvious from the results.
Firstly, the Depth-first search can hardly find the shortest path and almost search all the points on the map, which greatly depends on how the priority, often direction, is chosen.
The A* algorithm improves the effiency because it gives a relatively reasonable priority to guide the search direction. Both A* and the breadth-first search can find the shortest path. Moreover, Greedy-best-first search is the one with the highest
efficiency among A*, breadth-first, and greedy-best-first. However, it very depends on the what the map looks like. If there are obstacles cutting the line between tha start and the goal, greedy-best-first very likely can't find the shortest path. So basically the most practical method for path planning is A* algorithm.


FileKit
Utility for resolving common paths
Version Info
The latest release of FileKit
(v0.x.x) runs on Swift 4.0 and newer, on both macOS and Ubuntu Linux
Installation
Via Swift Package Manager
Add FileKit
to your Package.swift
:
let package = Package(
name: "<package-name>",
dependencies: [
// Swift 4
.package(url: "https://github.com/IBM-Swift/FileKit.git", .upToNextMajor(from: "0.0.0"))
]
)
Supported Paths
Path to Executable Folder
Points to the project executable folder
/// Executable Folder String
let stringUrl = FileKit.executableFolder
/// Executable Folder URL
let urlObject = FileKit.executableFolderURL
/// Executable File
let urlObject = FileKit.executableURL
Path to Project Folder
Directory containing the Package.swift of the project (as determined by traversing up the directory structure starting at the directory containing the executable), or if no Package.swift is found then the directory containing the executable
/// Absolute path to the project's root folder
let stringUrl = FileKit.projectFolder
/// URL to the project's root folder
let urlObject = FileKit.projectFolderURL
Path to Working Directory
Provides the standardized working directory, while accounting for environmental changes. When running in Xcode, this returns the directory containing the Package.swift of the project while outside returns the current working directory
/// Absolute path to the present working directory
let stringUrl = FileKit.workingDirectory
/// URL to the project's root folder
let urlObject = FileKit.workingDirectoryURL
Built-in Swift File Utilities
/// URL pointing to current file
let stringUrl = URL(fileURLWithPath: #file)


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Additional Data on Duncan Highman & Descendants
[ Click on the red arrow for a shortcut to the list of family
trees
s Click on the blue
question mark for assistance in navigating among family trees
1.1.6 Duncan Highman
Birth 1863
Death 1935
Highman, Duncan b. about 1863 md. Feb. 7,1885 to Emily Williams
Death of Duncan Highman
Duncan Highman, well known resident of Sarahsville, died suddenly when stricken
with a heart attack at the family home, Christmas Eve, Dec.24th, while the
family had gathered and were opening the Christmas presents. Mr. Highman who
was a prominant farmer and sheep raiser,was 72 years old. He was born in
Woodsfield, Monroe County, but had lived most of his life in Noble County. His
parents were Marquis and Mary Snyder Highman.
Surviving are his widow, eight children, S.O. Highman of Sarahsville;
Thurman Highman,of Chicago; Arch Highman of Ashland; Clem Highman , of the
home; Mrs. Mary Bradley and Mrs.Anna Schumate, both of Zanesville, and Miss
Rita Highman, of the home; one sister and two brothers, Sylvester Highman of
Ashland; Mrs. Ella Dougherty of Toronto; Charles Highman ,of
Woodsfield,Ohio. Funeral services were
held from the late home Friday afternoon, December 27 th, at 1:00 o'clock,
conducted by Rev. Orton L. Orr and interment was in The First Cemetery at Sarahsville. (Published in The Spirit of Democracy,
Thursday, January 2,1936)
Spouse Emily Williams
Death 1937
Father Levi Williams
Children Infant male (1886-1886)
Marcus Forest (twin) (1887-)
Jacob Parry (twin) (1887-1902)
Knox (1888-)
Mary C. (1890-)
Leta
Sylvester Oliver (1894-1948)
Inez Irene (1895-1968)
Allen T. (1896-)
Ola O (1897-)
Thurman Dana
Archie Gaylord (1899-)
Clem
Rita (1904-)
<IP_ADDRESS> Infant male Highman
Birth 1886
Death 1886
<IP_ADDRESS> Marcus Forest (twin) Highman
Birth 1887
<IP_ADDRESS> Jacob Parry (twin) Highman
Birth 1887
Death 1902
<IP_ADDRESS> Knox Highman
Birth 1888
Spouse Sarah Kirkbride
<IP_ADDRESS> Mary C. Highman
Birth 1890
Spouse Kermit Bradley
<IP_ADDRESS> Leta Highman
<IP_ADDRESS> Sylvester Oliver Highman
Birth 1894
Death 1948
Spouse Elizabeth Truax
Birth 1898
Children Lowell Gray
<IP_ADDRESS>.1 Lowell Gray Highman
<IP_ADDRESS> Inez Irene Highman
Birth 1895
Death 1968
Obit courtesy of the Zanesville Times Recorder 8/13/1968
SHUMATE SERVICE -- Services for Mrs. Inez Shumate, 73, of 717 Brown Street, who
died Sunday will be held at 10am Wednesday at DeLong & Baker Funeral
Home. Rev. Meredith Lasley will
officiate and burial will be in Woodlawn Cemetery. Friends may call 2 to 4 and from 7 to 9 pm today at the Funeral
Home.
 July 1900 to Mary Elizabeth Vandine b. Mar. 13,1881
d. July 2, 1961
Spouse
Mary Elizabeth Vandine
Birth 1881
Death 1961
Children
Lova Blanch (1901-1901)
James Duncan (1902-1972)
Charles Leslie (1904-)
Dorothy Opal (1906-)
Agnes Dolores (1908-)
Ethel Lucinda (1910-)
Oliver Clemeth (1912-)
Ruby Rebeulah (1915-)
Ford Edward (1918-)
William Ray (twin) (1920-1920)
Wilda Mae (twin) (1920-1920)
Harry Clifton (1922-)
Vivian Louise (1925-)
Merle Eugene (1928-)
<IP_ADDRESS> Lova Blanch Highman
Birth 1901
Death 1901
<IP_ADDRESS> James Duncan Highman
Birth 1902
Death 1972
Spouse
Dorothy Elizabeth Simpson
<IP_ADDRESS> Charles Leslie Highman
Birth 1904
Spouse
Mable Lindsey
<IP_ADDRESS>a Dorothy Opal Highman*
Birth 1906
Spouse
Forest Leo Devore
Birth 1908
Death 1943
Other spouses: Joe Klok
<IP_ADDRESS>b Dorothy Opal Highman* (See above)
Spouse Joe Klok
Birth 1911
Other spouses: Forest Leo Devore
<IP_ADDRESS> Agnes Dolores Highman
Birth 1908
Spouse
Courtland Jay Finley
<IP_ADDRESS>a Ethel Lucinda Highman*
Birth 1910
Spouse
Harley Myers
Other spouses: Alfred Yeater, Jesse Brown
<IP_ADDRESS>b Ethel Lucinda Highman* (See above)
Spouse Alfred Yeater
Other spouses: Harley Myers, Jesse Brown
<IP_ADDRESS>c
Ethel Lucinda Highman* (See above)
Spouse
Jesse Brown
Other spouses: Harley Myers, Alfred Yeater
<IP_ADDRESS>a Oliver Clemeth Highman*
Birth 1912
Spouse
Louella Matheny
Other spouses: Virginia Camp, Martha Lee Bates
<IP_ADDRESS>b Oliver Clemeth Highman* (See above)
Spouse Virginia Camp
Other spouses: Louella Matheny, Martha Lee Bates
<IP_ADDRESS>c Oliver Clemeth Highman* (See above)
Spouse Martha Lee Bates
Other spouses: Louella Matheny, Virginia Camp
<IP_ADDRESS>a Ruby Rebeulah Highman*
Birth 1915
Spouse
Walter Neal Anderson
Other spouses: Lewis Robert Riley
<IP_ADDRESS>b
Ruby Rebeulah Highman* (See above)
Spouse
Lewis Robert Riley
Birth 1908
Father Lewis Britton Riley
Mother Nora Wertman
Other spouses: Walter Neal Anderson
<IP_ADDRESS> Ford Edward Highman
Birth 1918
Spouse
Florence Ames
<IP_ADDRESS> William Ray (twin) Highman
Birth 1920
Death 1920
<IP_ADDRESS> Wilda Mae (twin) Highman
Birth 1920
Death 1920
<IP_ADDRESS> Harry Clifton Highman
Birth 1922
Spouse
Helen Teiger
<IP_ADDRESS> Vivian Louise Highman
Birth 1925
<IP_ADDRESS>a Merle Eugene Highman*
Birth 1928
Spouse
Joan Melvin
Other spouses: Barbara Jennings
<IP_ADDRESS>b Merle Eugene Highman* (See above)
Spouse Barbara Jennings
Other spouses: Joan Melvin
1.1.10 Mary (Mollie) Highman
Highman, Mary (Mollie) md. Clemit Hamilton
Spouse
Clemit Hamilton
1.1.11 Ella Highman
Highman,Ella md. Oliver Dougherty
Spouse
Oliver Dougherty
1.2 Hamilton Highman
Highman, Hamilton b. July 20,1830 did not marry
d. Feb. 6,1854 Buried--Conner Ridge Cemetery, Graysville, Oh. Monroe County
1.3 Mary Ellen Highman
Highman, Mary Ellen md. Sol Shafer 3 children:(below)
#1. Shafer, David
#2. Shafer, Phil
#3. Shafer, Sarah Jane md. Doyle lived in Wisconsin
Spouse
Sol Shafer
1.3.1 David Shafer
1.3.2 Phil Shafer
1.3.3 Sarah Jane Shafer
1.4 Margaret Highman
Highman, Margaret md. David Dougherty
Spouse David Dougherty
1.5 Samuel Highman
Birth 1835
Death 1859
Highman, Samuel b. 1835 Pa. d. 1859 buried in Conner Ridge
Cemetery Graysville, Ohio Monroe County
Provided by Lena Kahrig Pettit -- e-mail: Lena Pettit


[:page partOf="main.dart" args="Map infos = const {}, header, footer"]
[:if header != null]
[=header, encode: 'none']
[/if]
- This is a fragment and generated dynamically
[:for type in infos.keys]
- [=type]
[:for name in infos[type]]
- [=name]
[/for]
[/for]
- Browser is [=connect.browser]
- Locales are [=connect.locales]
[:if footer != null]
[=footer, encode: 'none']
[/if]


Feature: “action” macro
Widget actions are declared using the `action` macro.
action <name>, <selector>, <type>
This creates a method `<name>` on the parent widget, which, when called, will
click on that particular widget.
TODO
* Let an action point to the next widget, to ease chaining.
Background:
Given a page /entries/new includes the following HTML:
"""
Nice!
"""
And the current page /entries includes the following HTML:
"""

New Entry

"""
And the following widget:
"""
class PirateJournal < Widget
action :new_entry, '[rel = new-entry]'
action :edit_entry, '[rel = edit-entry]'
end
"""
Scenario: using `action`
When I execute "widget(:pirate_journal).new_entry"
Then I should be on "/entries/new"
@has-widget
Scenario: accessing the action widget
You can access the underlying widget by calling `widget(<name>)`.
When I evaluate "widget(:pirate_journal).widget(:new_entry)"
Then it should return the following:
"""

New Entry
"""


This is the beginning of my new learning journey. It will eventually contain a list of links to all my blogs.


Hierarchical Data
Hierarchical data is supported extensively in RDO.Data. You can define child model and RDO.Data will enforce parent-child relationship for DataSet<T>, DbQuery<T> and temporary DbTable<T>.
Child Model
You can define child model for your model as readonly property as described in Model and Members:
public abstract class SalesOrderBase<T> : ...
{
static SalesOrderBase()
{
...
RegisterChildModel((SalesOrderBase<T> _) => _.SalesOrderDetails, (T _) => _.FK_SalesOrderHeader);
}
...
public T SalesOrderDetails { get; private set; }
}
You can use Model Visualizer tool window to add child model and corresponding registration conveniently, similar as model column. The foreign key relationship defined in your child model will be picked up automatically.
Note
For simplicity, generic type child model, as shown in preceding example, has no code-fix registration supported. You can workaround this limitation by temporarily change the child model property type to concrete type.
Child DataSet
If a model contains a child model, the corresponding DataSet will contain a child DataSet. Each DataRow of child DataSet is belonging to two DataSets: the base DataSet identified by its BaseDataSet and Ordinal property, and child DataSet identified by its DataSet and Index property.
Child Model/DataSet is governed by its parent Model/DataSet:
- The column of the child model participated in the parent-child relationship is readonly. The data values of this column are inherited from the value of its parent DataRow.
- Deleting the parent DataRow will delete the child DataSet contained by this row automatically.
The following table shows APIs related to child DataSet:
| API | Description |
|---|---|
| DataSet<T>.GetChild | Get child DataSet from parent DataSet. |
| DataSet<T>.FillChildAsync | Fill data values into child DataSet. |
| GetChildDataSet extension method | Get Child DataSet from child model object. |
Child Query/Temp Table
You can call DbQuery<T>.CreateChildAsync to create child query:
public async Task<DataSet<SalesOrderInfo>> GetSalesOrderInfoAsync(_Int32 salesOrderID, CancellationToken ct = default(CancellationToken))
{
var result = CreateQuery((DbQueryBuilder builder, SalesOrderInfo _) =>
{
builder.From(SalesOrderHeader, out var o)
.LeftJoin(Customer, o.FK_Customer, out var c)
.LeftJoin(Address, o.FK_ShipToAddress, out var shipTo)
.LeftJoin(Address, o.FK_BillToAddress, out var billTo)
.AutoSelect()
.AutoSelect(c, _.Customer)
.AutoSelect(shipTo, _.ShipToAddress)
.AutoSelect(billTo, _.BillToAddress)
.Where(o.SalesOrderID == salesOrderID);
});
await result.CreateChildAsync(_ => _.SalesOrderDetails, (DbQueryBuilder builder, SalesOrderInfoDetail _) =>
{
builder.From(SalesOrderDetail, out var d)
.LeftJoin(Product, d.FK_Product, out var p)
.AutoSelect()
.AutoSelect(p, _.Product)
.OrderBy(d.SalesOrderDetailID);
}, ct);
return await result.ToDataSetAsync(ct);
}
RDO.Data will automatically create a temp table which contains the primary key of the parent query, and join this temp table automatically with child query.


[gecode-users] help --- how to create an object dynamically in Gecode？
Christian Schulte
cschulte at kth.se
Sun Aug 30 18:58:20 CEST 2009
Again, what’s wrong with creating an new argument array of exactly the
right size when you need it? That doesn’t waste memory!
Christian
From: Kayler Yao [mailto:risoay at gmail.com]
Sent: Sunday, August 30, 2009 5:56 PM
To: Christian Schulte
Cc: users at gecode.org
Subject: Re: [gecode-users] help --- how to create an object dynamically in
Gecode？
hi,
Now let me talk about what i want to do. I have a lot of data,and i need
to copy some data into the variable of the " IntArgs ". The number of
variables what i want is uncertain,which is controlled by an outside
parameter. And these variables include different data.
For instance, i have an 10*10 Array data. Now i want to copy the second
,the fifth and the sixth column of Array data into three variables of
"IntArgs". In my project, the number of variables of "IntArgs" what i need
and which columns of Array data i want to copy are all uncertain,controlled
by parameters. So this case make me to search for an dynamical method to
create variable of the "IntArgs" . But "IntArgs" do not have a new operator
by design. So i have to change the way and create an certain number of
variables of the "IntArgs",which is larger than actual need. You know that
wasting memory is an obvious disadvantage of this way.
whether there has an better way to resolve this problem?
Kayler
2009/8/30 Christian Schulte <cschulte at kth.se>
Hi,
what’s wrong with creating a new array each time you need it? They are very
fast to create (they will only allocate heap memory if the array is large
and otherwise, creation is super-quick). I have to admit I still don’t see
really what you mean by uncertain number.
Best
Christian
From: Kayler Yao [mailto:risoay at gmail.com]
Sent: Saturday, August 29, 2009 5:23 PM
To: Christian Schulte
Cc: users at gecode.org
Subject: Re: [gecode-users] help --- how to create an object dynamically in
Gecode
？
hi,
Your said about using Argument arrays are right . The purpose i use
Argument arrays to do is also just as it should to be . What i want to do is
that I want to use uncertain number of Argument Arrays ,so i want to create
Argument arrays dynamically. You said that they do not have a new operator
by design ,so i can't use "new" way. I maybe create an certain number of
Argument Arrays which is much more than i want ,and it may waste some
memories. Whether there has another way to realize my thought?
welcome to talk about it.
Kayler.
2009/8/29 Christian Schulte <cschulte at kth.se>
Hi,
Argument arrays are meant for what they are called: passing arguments as is
explained in detail in Section 4.2.2 in Modeling with Gecode. Using them for
other purposes is a bad idea and hence they do not have a new operator by
design!
What you should do is use a different data structure and create and argument
array just when you need it for posting a propagator or branching.
Christian
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Kayler Yao
Sent: Saturday, August 29, 2009 5:20 AM
To: users at gecode.org
Subject: Re: [gecode-users] help --- how to create an object dynamically in
Gecode？
hi,
And i find that "Gecode::Support::DynamicArray< T, A > Class Template"
maybe can realize it. But i did it unsuccessfully.
Who can give me right answer.
Kayler
2009/8/29 Kayler Yao <risoay at gmail.com>
hi，
I want to create an object of IntArgs in my program dynamically. For
instance " IntArgs *pt = new IntArgs(4); -----create an object of IntArgs
with four elements" or
"IntArgs *pt = new IntArgs [10];------create an array with 10 object of
IntArgs." They all be compiled with errors. And i haven't seen the examples
of create object dynamically in Gecode. And I want to know whether the
Gecode support to create object of Gecode class ? And how ?
Look forward to your reply!
Kayler
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I hope to continuously study new technology and design in the future. In the meantime I hope to bring the ancient culture to life with new art forms, combining aesthetic and science.