{% include head.html %}
{% include nav.html %} {% include header.html %}We will be holding the wedding outdoors near a farmhouse under a tent. Dress code is smart casual (or fancier), theme is East Meets West.
| 4:00p | Arrival |
| 4:30p | Ceremony |
| 5:00p | Cocktail Hour |
| 6:00p | Dinner |
| 7:00p | Dancing |
| 10:00p | Wrap up |
We ask that you donate to one of our favorite charities in lieu of however much you might spend on a wedding gift. We hope that our wedding day will bring some joy to others around the world. Please donate to our favorite charities here
If you would like to give us a physical gift, please consider something small and personal such as a card sharing a favorite memory you have of us, or a favorite recipe. We would love to include notes like this in our wedding album.
The drive from NYC to New Paltz is the easiest, but not only, method of getting there. Depending on where and when you leave the city it takes a little less than 2 hours. Want to carpool? Driving and willing to bring passengers? Use this Google Sheet to coordinate!
There are busses which travel between New York Penn Station and New Paltz throughout the day. Round trip tickets cost $46. The bus will take you to downtown New Paltz, where a short taxi ride will get you to our location. We recommend leaving Penn Station on the 1 PM bus, which gets you into New Paltz at 2:30, in plenty of time to get a ride to the ceremony. The last return bus of the day leaves at 9pm. The full schedule is here. We also recommend calling the taxi company ahead of time to schedule. We recommend either Jon's Village Taxi or Green Taxi.
Warning: getting a taxi here can be hard, and we don't know exactly how reliable it is. If you really want to - here's some information on the train. Poughkeepsie station is about 25 minutes drive from our wedding location. Metro North runs trains from Grand Central to Poughkeepsie which take 2 hours, and cost about $40 round trip. We recommend taking the 1:45 train arriving in Poughkeepsie at 3:45 and getting a taxi to our location. Return trains depart Poughkeepsie at 8:45, 9:50 and 11:48 PM. You can see the full schedule at Metro-North - Schedules, Tickets, rail
🏕🏕🏕
These are suggestions - we are not associated with any of the places listed, and this is not an exhaustive list at all. But keep in mind October is peak ‘leaf-peeping’ season, so accommodation may book up quickly, and definitely make reservations in advance.
Minnewaska Lodge: 20 minutes drive from our location, this lodge is set in nature near Lake Minnewaska State park and the Mohonk Preserve. Hampton Inn New Paltz: 10 minutes drive from the wedding location. Best Western Kingston: 20 minutes drive from the wedding location in Kingston, the next small town North of New Paltz. We’ve stayed there before - it’s fine. The Gunks American Alpine Association Campground: 15 minutes drive from the wedding location. For all you rock climbing dirtbags out there ;) Airbnb and VRBO: both have plenty of accommodations in the area. Good for groups!
Thanks to Andrew Wilds for taking all of our amazing wedding photos! 🌐 📷


Reports failed method calls or assertions in tests. It helps detect the failed line in code faster and start debugging it immediately.
Example:
@Test fun foo() { assertEquals(1, 0) // highlighted }


--- layout: page title: "Advertising Digital Identifier (Ad-ID) URN Namespace Definition" description: "Advertising Digital Identifiers (Ad-IDs) are used to identify advertising assets across all media platforms. This document defines the formal Uniform Resource Name (URN) Namespace Identifier (NID) \"adid\" for Ad-IDs." ---
| Document Name: | RFC 8107 |
|---|---|
| Document URI: |
urn:ietf:rfc:8107
|
| Online Version: |
https://datatracker.ietf.org/doc/html/rfc8107
|
| Organization: | Internet Engineering Task Force (IETF) |
| Series: | Request for Comments (RFC) |
| Abstract: | Advertising Digital Identifiers (Ad-IDs) are used to identify advertising assets across all media platforms. This document defines the formal Uniform Resource Name (URN) Namespace Identifier (NID) "adid" for Ad-IDs. |
adid
Return to ( Series | Organization | all Specifications )


UseGalaxy.eu hosts several domain specific versions of the usegalaxy.eu server. You can access any of these servers and find all of your data, with a set of tools focused on one specific domain.
| Instance | Description |
|---|---|
| metagenomics.usegalaxy.eu | An instance focused on metagenomics tools like Mothur and Qiime |
| proteomics.usegalaxy.eu | An instance focused around proteomics. |
| hicexplorer.usegalaxy.eu | The place to go for all of your HiC analyses |


--- layout: page title: Data Eng Posts css: "/css/aboutme.css" ---
SQL queries: The basics cheat sheet for ignorants such as myself
Handling Multiple Docker Containers With Different Privacy Settings: How I made my Dockerfiles stop ignoring .dockerignores


This syllabus is subject to change based on specific class needs, especially the schedule. Significant deviations will be discussed in class. Individual exceptions to the policies and schedule are granted only in cases of true emergency. Please make arrangements with me if an emergency arises.
Data structures continues the study of abstraction and programming through a focused study of data structures, algorithms, and abstract data types. The primary focus of this course is the design and development of algorithms and programs using data abstraction and information hiding via abstract data types ADTs. Data abstraction is absolutely fundamental to good programming practice and the management of large scale problems and data sets. This course is designed to round out a student’s understanding of basic computer science concepts while strengthening the program design and development skills through continued use of an object-oriented design methodology.
It is imperative that programmers and program designers be able to determine which of the many solutions available is the best for their specific task. Throughout the course, students will focus on to making solid quantitative and qualitative judgments about program efficiency and overall program design choices. Gone are the days when “it works” is a good enough assessment for the quality of a program.
Students will explore the ideas and concepts brought up in class and homework assignments during the weekly lab session. In addition to hands on exercises, lab sessions will be used to explore current, relevant research in computer science.
The course textbook will be:
Other sources will be posted on this webpage as needed.
The course aims to cover most of chapters 1-8 and parts of chapters 9-12. Other elements may be covered as time allows. The topics include, but are not limited to:
| - Review of Python fundamentals | - Object-Oriented Design Basics and Patterns |
| - Experimental and Asymptotic Algorithm Analysis | - Recursion |
| - Arrays and Sequence Data Types | - Stacks, Queues, Deques, and Priority Queues |
| - Abstract Data Types | - Linked Data Structures |
| - Binary Search Trees and Tree Traversal Algorithms | - Maps and Dictionaries |
| - Sorting, Searching, and Selection Algorithms | - Graph Algorithms (as time allows) |
This course uses Python 3 and repl.it, an online IDE service. Students will receive, complete, and submit assignments all via the website. Students can also complete assignments on their local machines (I recommend the Anaconda software package) or on the departmental server, but all assignment submissions must be done through repl.it unless otherwise specified.
The weekly workload for this course will vary by student and by week but should be about 14 hours per week on average. The following table provides a rough estimate of the distribution of time over different course components for a 16 week semester, as well as detailing the type, amount, and relative value of all assignments.
| Category | Amount | Final Grade Weight | Total Time | Time/Week (Hours) |
|---|---|---|---|---|
| Lectures | 41 | 10% (Participation) | - | 2.25 |
| Labs | 8–10 | 15% | - | 2.75 |
| Homework | 8–10 | 15% | 48 | 3 |
| Exam Study | - | - | 16 | 1 |
| Exams | 3–4 | 30% | - | - |
| Projects | 2 | 30% | 48 | 3 |
| Reading+Unstructured Study | - | - | 2 | |
| 14 |
Homework assignments will always either precede a lab to prepare for it or follow a lab to complete it. Each exam will focus primarily, but not necessarily exclusively, on the material covered since the previous exam.
Lab and homework assignments are graded on a simple 3 point scale, marked with (in decreasing order) a check-plus, check, or check minus. Your final grade for these two assignment categories is then based on the respective averages.
Your participation grade is based on a variety of activities. During class I will often make use of the Socrative app, so you’ll need to install this on your phones. Participating in Socrative questions and with in-class group activities is required for a decent participation grade; an A includes asking questions either in class or in office hours.
Your final grade is based on a weighted average of particular assignment categories. You can estimate your current grade based on your scores and these weights. You may always visit the instructor outside of class to discuss your current standing. Assignments and final grades use a standard grading scale shown below and will not be curved except in rare cases when deemed necessary by the instructor.
This courses uses a standard grading scale. Assignments and final grades will not be curved except in rare cases when its deemed necessary by the instructor. Percentage grades translate to letter grades as follows:
| Score | Grade |
|---|---|
| 94–100 | A |
| 90–93 | A- |
| 88–89 | B+ |
| 82–87 | B |
| 80–81 | B- |
| 78–79 | C+ |
| 72–77 | C |
| 70–71 | C- |
| 68–69 | D+ |
| 62–67 | D |
| 60–61 | D- |
| 0–59 | F |
You are always welcome to challenge a grade that you feel is unfair or calculated incorrectly. Mistakes made in your favor will never be corrected to lower your grade. Mistakes made not in your favor will be corrected. Basically, after the initial grading your score can only go up as the result of a challenge*.
You are always welcome to challenge a grade that you feel is unfair or calculated incorrectly. Mistakes made in your favor will never be corrected to lower your grade. Mistakes made not in your favor will be corrected. Basically, after the initial grading your score can only go up as the result of a challenge.
Late assignments: You have each been allotted a total of 5 late days. You may apply these to any problem sets you see fit and turn in your solutions with no penalty. However, you may use at most 2 on any individual assignment. The whole point here is to give you some flexibility that allows for things like illnesses, long trips, and the like. I am unlikely to grant further extensions.
Academic dishonesty: Monmouth College’s official policy on academic dishonesty can be found here. You are responsible for reading and complying with that policy.
In this course, any violation of the academic honesty policy will have varying consequences depending on the severity of the infraction as judged by the instructor. Minimally, a violation will result in an “F” or 0 points on the assignment in question. Additionally, the student’s course grade may be lowered by one letter grade. In severe cases, the student will be assigned a course grade of “F” and dismissed from the class. All cases of academic dishonesty must be reported to the Associate Dean who may decide to recommend further action to the Admissions and Academic Status Committee, including suspension or dismissal. It is assumed that students will educate themselves regarding what is considered to be academic dishonesty, so excuses or claims of ignorance will not mitigate the consequences of any violations
Collaboration: We encourage you to make use of the resources available to you – it is fine to seek help from a friend, tutor, instructor, internet, etc. However, copying of answers and any act worth of the label “cheating” is never permissible! In addition to listing your sources and collaborators, you should be producing your own writeup in your own words. By “your own words,” we mean you should be producing the text yourself, without some external aid. Verbatim copying of text is specifically disallowed, but so is taking a source and rearranging some phrases and changing some variable names to create a derivative version! Such behavior is definitely NOT “using your own words.” It does not matter if you helped contribute to this source text with others, since then you are still not the sole author of the text. The point of collaborating on an assignment is not to produce a jointly authored set of solutions, since that violates the course policies. Instead, it is to help you solve the problems, which sometimes involve a bit of creativity. After you have jointly come up with the ideas you need to solve the problems, though, you should part ways with your group and sit down to do the writing by yourself. I also advise against sharing the writeup you submit with others, since if someone else uses your text as a source for their own solution (with or without your permission), you will also be implicated in the violation of the academic integrity policy. In any case, if two nearly identical solutions are received, we have no way of tell which is the original, and the policy is to not award credit for either submission.
Electronic devices: Do not use your phone or other devices in class except where necessary. Any computer or tablet usage should be related to the course. If a device is not being used for Zoom or Socrative it should be put away and turned on silent. Other usage is rude and distracting to others.
General expectations: In short, I expect you to be respectful of others and take responsibility for your own learning. You are here to learn, so work hard and be professional.
Just attending class is not sufficient to truly learn the material. Read the text, use the resources available at Monmouth College, and go beyond the material.
If you miss class, you are responsible for everything covered on that day. College is, in some sense, your job. Take pride in creating quality work. Staple your assignments, label problems, and present your answers neatly and orderly.
Your job is to convince me that you have learned the material – show your work! Even if you do not know a particular answer, guide me through your thought process.
The following tentative calendar should give you a feel for how work is distributed throughout the semester. Assignments and events are listed in the week they are due or when they occur. This calendar is subject to change based on the circumstances of the course.
Note: All readings should be done before the class period in which they are listed below.
| Date | Topic | Assignments and Readings |
|---|---|---|
| Wed 08/19 (Week 1) | Logistics, Overview | 1.1-1.3 |
| Wed 08/19 (lab) | Lab 1: Python Basics with Turtle | |
| Fri 08/21 | Python Review | 1.4-1.5 |
| Mon 08/24 (Week 2) | Advanced Python Features | 1.6-1.9 |
| Wed 08/26 | Review Exercises | 1.10-1.11 |
| Wed 08/26 (lab) | Lab 2: Using Sets and Dictionaries | |
| Fri 08/28 | Classes | 2.1-2.3 |
| Mon 08/31 (Week 3) | Inheritance | 2.4 |
| Wed 09/02 | Containment vs. Extention; Misc. OOP | 2.5-2.6 |
| Wed 09/02 (lab) | Lab 3: Object-Oriented Turtle | Assignment PDF |
| Fri 09/04 | Exam 1 | |
| Mon 09/07 (Week 4) | Experimental Performance Analysis | 3.1 |
| Wed 09/09 | Big-O | 3.2 |
| Wed 09/09 (lab) | Lab 4: Prefix Sums | Assignment PDF |
| Fri 09/11 | Analysis Exercises | 3.3 |
| Mon 09/14 (Week 5) | Justification and Proof | 3.4 |
| Wed 09/16 | Big-O and proof Examples | |
| Wed 09/16 (lab) | Hwk 5: Big-O Practice | |
| Fri 09/18 | Common Python Bugs | Handout 1, Handout 2 |
| Mon 09/21 (Week 6) | Recursive Functions | 4.1 |
| Wed 09/23 | Recurrences | 4.2-4.3 |
| Wed 09/23 (lab) | Lab 5/Hwk 6: Recursion | |
| Fri 09/25 | Exam 2 | |
| Mon 09/28 (Week 7) | More Recursion | 4.4 |
| Wed 09/30 | Recursive Design | 4.5 |
| Wed 09/30 (lab) | Lab 6/Hwk 7: Recurrences | |
| Fri 10/02 | Arrays | 5.1-5.2 |
| Mon 10/05 (Week 8) | Dynamic Array Analysis | 5.3 |
| Wed 10/07 | Sequence Type Operations | 5.4-5.5 |
| Wed 10/07 (lab) | Lab 7/ Hwk 8: Dynamic Arrays | |
| Fri 10/09 | (No class – Pseudo-fall break) | |
| Mon 10/12 (Week 9) | Stacks | 6.1 |
| Wed 10/14 | Queues | 6.2 |
| Wed 10/14 (lab) | Lab 8 and Project 1: RPN Calculator | |
| Fri 10/16 | Double-Ended Queues | 6.3 |
| Mon 10/19 (Week 10) | Singly-linked Lists | 7.1 |
| Wed 10/21 | Circularly-linked lists | 7.2 |
| Wed 10/21 (lab) | Free Lab for Project 1 | |
| Fri 10/23 | Doubly-linked lists | 7.3 |
| Mon 10/26 (Week 11) | Binary Trees | 8.1-8.2 |
| Wed 10/28 | Binary Tree Implementation | 8.3 |
| Wed 10/28 (lab) | Lab 10: Trees | |
| Fri 10/30 | Exam 3 | |
| Mon 11/02 (Week 12) | Tree Traversals | 8.4 |
| Wed 11/04 | Priority Queues | 9.1-9.3 |
| Wed 11/04 (lab) | Lab 11: Heaps and Heapsort | |
| Fri 11/06 | Heapify, Sorting | 9.4 |
| Mon 11/09 (Week 13) | Maps: Naive Implementations | 10.1,10.3 |
| Wed 11/11 | Hash Tables, plus related structures | 10.2, 10.5 |
| Wed 11/11 (lab) | Project 2 | |
| Fri 11/13 | Binary Search Trees | 11.1-11.2 |
| Mon 11/16 (Week 14) | AVL Trees | 11.3 |
| Wed 11/18 | Merge Sort | 12.1-12.2 |
| Wed 11/18 (lab) | (Free lab for Project 2) | |
| Fri 11/20 | Quicksort and more | 12.3-12.4 |
| Mon 11/23 (Week 15) | Exam Review | |
| Wed 12/02 | Project 2 Due at midnight | |
| TBD | Exam 4 (Final) |
Mental Health and Counseling Services: Monmouth College provides cost-free, professional mental health counseling to support you and to help you manage challenges that may impact your personal and academic success. The Counseling Center is located in the upper level of Poling Hall, offices 204 and 216, and the hours are Monday-Friday, 8:30 AM – 5:00 PM. To request a confidential appointment on-line, click here or email the center, Cindy Beadles or Tom Caudill.
Student Success and Accessibility Services offers FREE resources to assist Monmouth College students with their academic success. Programs include supplemental instruction for difficult classes, drop-in and appointment tutoring, and individual academic coaching. The office is here to help students excel academically, since everyone can work toward better grades, practice stronger study skills, and mange their time better.
Accessibility Services: If you have a disability or had academic accommodations in high school or another college, you may be eligible for academic accommodations at Monmouth College under the Americans with Disabilities Act (ADA). Monmouth College is committed to equal educational access. To discuss any of the services offered, please call or visit Student Success and Accessibility Services. SSAS is located in the ACE space on the first floor of Hewes Library, opposite Einstein Bros. Bagels. They can be reached at<PHONE_NUMBER> or via email at<EMAIL_ADDRESS>This course covers a variety of knowledge areas as categorized by the ACM/IEEE-CS Task Force on Computing Curricula. Note that not all of these areas are introduced in this course; some are touched upon previously and others will be developed further in later courses. At the end of the course, students should achieve the following learning outcomes with the specific level of mastery:
| Knowledge Unit | Learning Outcome with Level of Mastery |
|---|---|
| Basic Analysis | - In the context of specific algorithms, identify the characteristics of data and/or other conditions or assumptions that lead to different behaviors. [Familiarity] |
| - Explain what is meant by “best”, “average”, and “worst” case behavior of an algorithm. [Familiarity] | |
| - In the context of specific algorithms, identify the characteristics of data and/or other conditions or assumptions that lead to different behaviors. | |
| - Perform empirical studies to validate hypotheses about runtime stemming from mathematical analysis. Run algorithms on various input sizes and compare performance. [Assessment] | |
| - Determine informally the time and space complexity of simple algorithms. [Usage] | |
| - Understand the formal definition of big O. [Familiarity] | |
| - List and contrast standard complexity classes. [Familiarity] | |
| - Give examples that illustrate time-space trade-offs of algorithms. [Familiarity] | |
| - Use big O notation formally to give asymptotic upper bounds on time and space complexity of algorithms. [Usage] | |
| Algorithmic Strategies | - Have facility mapping pseudocode to implementation, implementing examples of algorithmic strategies from scratch, and applying them to specific problems. [Familiarity] |
| - Use a divide-and-conquer algorithm to solve an appropriate problem. [Usage] | |
| Fundamental Data Structures and Algorithms | - Implement simple search algorithms and explain the differences in their time complexities. [Usage, Assessment] |
| - Discuss factors other than computational efficiency that influence the choice of algorithms, such as programming time, maintainability, and the use of application-specific patterns in the input data. [Familiarity] | |
| - Be able to implement common quadratic and $O(n \log n)$ sorting algorithms. [Usage] | |
| - Demonstrate the ability to evaluate algorithms, to select from a range of possible options, to provide justification for that selection, and to implement the algorithm in a particular context. [Usage, Assessment] | |
| Fundamentals | - Explain the concept of modeling and the use of abstraction that allows the use of a machine to solve a problem. [Familiarity] |
| Basics of Counting | - Perform computations involving modular arithmetic. [Usage] |
| Processing | - Analyze simple problem statements to identify relevant information and select appropriate processing to solve the problem. [Assessment] |
| - Identify the issues impacting correctness and efficiency of a computation [Familiarity] | |
| Defensive Programming | - Demonstrate the identification and graceful handling of error conditions. [Usage] |
| Graphs and Trees | - Demonstrate different traversal methods for trees [and graphs], including pre, post, and in-order traversal of trees. [Usage] |
| - Model a variety of real-world problems in computer science using appropriate forms of [graphs and] trees, such as representing … a hierarchical file system. [Usage] | |
| Data Modeling | - Describe the main concepts of the OO model such as object identity, type constructors, encapsulation, inheritance, polymorphism, and versioning. [Familiarity] |
| Object-Oriented Programming | - Compare and contrast the procedural and object-oriented approach. Understand both as defining a matrix of operations and variants. [Assessment] |
| - Use subclassing to design simple class hierarchies that allow code to be reused for distinct subclasses. [Usage] | |
| Algorithms and Design | - Determine whether a recursive or iterative solution is most appropriate for a problem. [Assessment] |
| - Implement a divide-and-conquer algorithm for solving a problem. [Usage] | |
| - Apply the technique of decomposition to break a problem into smaller pieces. [Usage] | |
| - Implement a coherent abstract data type, with loose coupling between components and behavior. [Usage] | |
| - Discuss the importance of algorithms in the problem-solving process. [Familiarity] | |
| - Discuss how a problem may be solved by multiple algorithms, each with different properties. [Familiarity] | |
| - Implement, test, and debug simple recursive functions. [Usage] | |
| Fundamental Programming Concepts | - Analyze and explain the behavior of simple problems involving the fundamental programming constructs. [Assessment] |
| - Identify the base case and the general case of a recursively-defined problem. [Assessment] | |
| Fundamental Data Structures | - Discuss the appropriate use of built-in data structures. [Familiarity] |
| - Describe common applications for each data structure in the topic list. [Familiarity] | |
| - Write programs that use each of the following data structures: arrays, strings, linked lists, stacks, queues, sets, and maps. [Usage] | |
| - Compare alternative implementations of data structures with respect to performance. [Assessment] | |
| - Choose the appropriate data structures for modeling a given problem. [Assessment] | |
| Development Methods | - Trace the execution of a variety of code segments and write summaries of their computations. [Assessment] |
| - Apply a variety of strategies to the testing and debugging of simple programs. [Usage] | |
| - Construct and debug programs using the standard libraries available with the chosen programming language. [Usage] | |
| - Apply consistent documentation and program style standards that contribute to the readability and maintainability of software. | |
| Software Construction | - Construct models of the design of a simple software system that are appropriate for the paradigm used to design it. [Usage] |
| Professional Communication | - Evaluate written technical documentation to detect problems of various kinds. [Assessment] |


Why can't we all just get along and have some acceptane of others ... it is not hard people!
Seriously, are we that caught up in our own little lives that we cannot accept others are different in some way? Context you say, yes that will help. This morning Hayley Williams from Paramore re-tweeted something from HumanRightsCampaign about three bills that are about to be passed in Tennessee and seriously WTF is that all about?
Looking at this the one that they are most concerned with at the moment is that elementary and middle schools would not even acknowledge any relationship other than heterosexual exists, so no gay relationships. I have an issue with this on two levels, elementary school level children should not really be exposed to the sexuality of a relationship at all and of course the primary issue that many activists have; how will this alienate a child who's parents are in a gay relationship.  You are doing more damage to the kids than you are doing to the adults in this case and that is not fair!
One of the other bills that is due to go through is one on bullying. Saying that it is OK to bully someone if it was a reflection of their ‘religious, philosophical, or political views;’. Seriously, you want to give kids the right to bully now? You may as well just hand them all clubs, dress them in half cured animal skins and let them go at it! That is how bad this bill is. It is bad enough at the moment that there are religious zealots out there who refuse to accept anything other than their own doctrine, unable to accept that others may differ and have vastly conflicting beliefs, but to put this religious bigotry to law? The second point, philosophical, well anyone who is philosophical in nature should be able to work around differences by virtue so that should not ever come into the equation, however this now gives the un-educated yet another avenue to bully.
I don't know how politics work in the USA at the moment, but here in Australia rather than advertising the plans, promises and agendas of a political party they now personally attack the opposition. This bullying already occurs in the adult world and is grossly passed off as 'political lobbying', bollox I say to that, it is cheap shots of people who should not be running for any level of Government. These people cannot function in a normal society, instead they turn to politics to satisfy a self inflated ego and belief that they are better than everyone else. The unfortunate thing is that if there were such a concept as an honest politician they wouldn't survive anyway, and thus the self-centred, bureaucratic jagoffs end up getting voted in by an equally un-educated population. In effect this bill will just allow this purely political bullying to now legally move into the younger and more impressionable generations. Disgusting!
The third bill is not one I have read up on much nor understand, but it revolves around the fact that parents must give permission before their children can join a club at school. It also states that the only available clubs will be in the students handbook. This could reflect that any club that does not fit into what the school would base as good and wholesome as unacceptable and therefore 'evil'. I can't comment too much on this one as we never had clubs at school where I went.
All in all I think society is really screwing it up for the younger generation, the do-gooders out there think they are doing the right thing. This really irks me as it is akin to the whole every student wins a prize and there are no second places, which is absolute rubbish and gives the kids a false sense of how the world works. There are winners and losers in this world and kids need to learn that they will not always win, but should always try their best and of course on the flip side they should always be gracious in winning and offer assistance to those that do not.
Really kids need to be taught tolerance, empathy and above all must learn that change is not a bad thing! Change is a part of our lives and we must learn to accept it and work with it and understand that we can always turn it to our or others advantages.


Uncertainty propagation just got easier
Have you ever wanted to include the uncertainties along with your calculated marine CO2 system variables? Although a basic requirement for good science, the only way forward has been to code it yourself. Fortunately, it just got a lot easier.
Marine scientists who study the ocean CO2 system often use two of its measured or modeled variables to calculate the others, doing so with available public software packages. For instance, ocean pH is often calculated, not measured or modeled directly. But what about the uncertainties associated with those calculations? Unfortunately, they are seldom reported because none of the packages have provided an uncertainty propagation feature.
The few groups that have reported uncertainties have rolled their own, relying on different approaches, specifying different input uncertainties, and often assuming globally uniform sensitivities of calculated variables to input variables.
To allow such uncertainty propagation to become routine, the OA-ICC funded an effort to code a consistent set of tools in several public packages. Uncertainty propagation add-ons are now available for four of these packages: CO2SYS-Excel, CO2SYS-MATLAB, seacarb, and mocsy. Clicking on those links will lead you directly to the archive where each package can be downloaded, on CRAN for seacarb and on GitHub for the other 3 packages.
The interface for the CO2SYS-Excel add-on is provided in the same file
as the standard package but as an additional (fourth) Excel sheet,
where input uncertainties (standard uncertainties) are entered and
where calculated uncertainties (combined standard uncertainties) are
displayed (after clicking the red START button on Sheet 3). For the
add-ons to the other three packages, each is provided as a new routine
called errors
with a suffix that depends on the computer language of
each package (.m
, .R
, and .f90
). Its arguments are just like those for
the preexisting routine in each package that computes carbonate
chemistry variables (CO2SYS.m
, carb.R
, and vars.f90
,
respectively) except that there is also a new line of arguments for
the input uncertainties. Besides the typical documentation
for each package, the new archives for CO2SYS-MATLAB, seacarb, and
mocsy also contain a notebooks
directory, which itself contains jupyter
notebook files with extensive examples. Once in that directory, just click on
a notebook file to visualize its contents as HTML. Even better,
download them and and run them interactively in your browser as jupyter
notebooks.
A new publication detailing this effort, the tools, and interpretation of results is now available (Orr et al., 2018).
REFERENCE
Orr, J. C., Epitalon, J.-M., Dickson, A. G., and Gattuso, J.-P. Routine uncertainty propagation for the marine carbon dioxide system, Mar. Chem., 207, 84-107, doi:10.1016/j.marchem.2018.10.006, 2018.


Hey and welcome to my Mandatory I assignment for the Fullstack Node.js course. On this website I will go through the tools I’ve learned so far throughout the course.


Setting up an RSA Key Pair for password-less authentication
September 15, 2017
Note:
This is an export from my old wordpress website, your comments or references might be lost during the migration. Sorry for the inconvenience.
By putting your public key on the remote servers, one can connect to them without passwords, the pairing private key on your local client will do the authentication work.
Generate an RSA Key Pair on your local machine
File location and passphrase will be asked while generating the RSA key pair. After that, we can find the public (id_rsa.pub) and private (id_rsa) keys under the ~/.ssh/ folder.
Install the public key to remote servers
By running this command, the content within the public key id_rsa.pub will be copied into the authorized_keys file on the remote server. Alternatively, we can just copy the content of ~/.ssh/id_rsa.pub on the client side, then append it at the end of the file ~/.ssh/authorized_keys on the server side. The following command 1 will do the same work:
Change the file and folder permissions of remote server2


Plugin Information |
|---|
View countjobs-viewstabbar on the plugin site for more information. |
This plugin shows a Views TabBar like the original one but it adds how many jobs has each view in every tab title.
Screenshots
Usage
Go to Manage Jenkins -> Configure System. Then, in the Views Tab Bar item, select CountJobs Views TabBar.
Notes
The DropDown ViewsTabBar Plugin already implements an option to show the number of jobs in each view. This one, though, sticks to the Jenkins' classic look and feel.
Changelog
Version 1.0.0
* Initial Release
Attachments:
countjobs_viewtabbar_1.jpg (image/jpeg)


This is the interface module between DART and the atmospheric components of CESM;
CAM, WACCM, CAM-Chem (, ...?).
It contains the required 16 interface procedures, as specified by DART.
It also contains several utility routines which help translate between CAM and DART
formats, and deal with time.
It is used by filter, perfect_model_obs, $dart/models/cam/{cam_to_dart,dart_to_cam}.
This module handles all of the eulerian, finite volume, and spectral element (HOMME) dynamical core versions of CAM. The first two have logically rectangular grids, while CAM-SE uses the cubed sphere (non-rectangular) horizontal grid.
It contains a perturburbation routine for generating initial ensembles, but does not provide adv_1step or init_conditions because CAM is a separate executable and cannot be called as a subroutine.
This module intercepts the get_close_obs() calls and can alter the distances for obs near the top of the model to reduce the impact on the state near the top.
The coordinate orders of fields stored in various forms have also been simplified. For example; various vintages of CAM 3D fields may be read in with (lon, lat, lev) or (lon, lev, lat). These are uniformly converted to (lev, lon, lat) for use in model_mod. This latter form is different than pre MPI model_mods. Then such fields are stored in the state vector with the same coordinate order. They are converted to the modern CAM coordinate order when written to caminput.nc files.
If a user wants to add new TYPE_s to the state vector, then more QTY_s may be needed in the obs_kind_mod and the 'use obs_kind_mod' statement.
Observations below the lowest model level (including surface observations) and above the highest model level cannot be assimilated (yet). The spatial extent of observations can be further restricted using model_nml namelist variables.
MODULE ORGANIZATION (search for the following strings to find the corresponding section)
'use' statements Global storage for describing cam model class Namelist variables with default values Derived parameters static_init_model section Module I/O to/from DART and files model_interpolate section Vector-field translations get_close_obs section Utility routines; called by several main subroutines Stubs not used by cam/model_mod (this is not all of them)
See the subversion code logs for history of this module. There is an html description of this module in ./model_mod.html.
Function get_model_size assigns the 'model_size' calculated in static_init_model to the function result 'get_model_size'.
Function get_model_time_step assigns the 'Time_step_atmos' calculated in static_init_model to the function result 'get_model_time_step'.
Function nc_write_model_atts writes the model-specific attributes to a netCDF file.
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| integer, | intent(in) | :: | nc_file_ID | |||
| logical, | intent(out) | :: | model_mod_will_write_state |
Function nc_write_model_vars writes the model-specific variables to a netCDF file.
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| integer, | intent(in) | :: | nc_file_ID | |||
| real(kind=r8), | intent(in) | :: | statevec(:) | |||
| integer, | intent(in) | :: | copyindex | |||
| integer, | intent(in) | :: | timeindex |
construct restart file name for reading model time for CESM format?
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| character(len=512), | intent(in) | :: | stub | |||
| integer, | intent(in) | :: | domain | |||
| integer, | intent(in) | :: | copy |
pass the vertical localization coordinate to assim_tools_mod
read the time from the input file
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| character(len=256), | intent(in) | :: | file_name |
Static_init_model does many things which must be done once at the beginning of the use of model_mod: + set the calendar and time variables, + read, check and archive the model_nml namelist, + set some output level variables, + set the state vector size, + read coordinate variables from the CAM initial file, + read the model topography + read and/or generate cubed sphere grid arrays if CAM-SE is being used, + make the connection between DART KINDs and local model TYPEs
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| character(len=*), | intent(in) | :: | file_name | |||
| type(model_type), | intent(inout) | :: | var | |||
| type(time_type), | intent(inout) | :: | model_time |
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| character(len=*), | intent(in) | :: | file_name | |||
| type(time_type), | intent(in) | :: | model_time | |||
| type(model_type), | intent(inout) | :: | var |
Subroutine get_state_meta_data Given an integer index into the state vector structure, returns the associated location and vertical location type 'which_vert'. Optionally returns the DART KIND of the variable.
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| type(ensemble_type), | intent(in) | :: | state_handle | |||
| integer(kind=i8), | intent(in) | :: | index_in | |||
| type(location_type), | intent(out) | :: | location | |||
| integer, | intent(out), | optional | :: | var_kind |
Subroutine model_interpolate Interpolates the provided state vector (on model grid points) to an arbitrary location in the atmosphere (e.g. where an observation is).
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| type(ensemble_type), | intent(in) | :: | state_handle | |||
| integer, | intent(in) | :: | ens_size | |||
| type(location_type), | intent(in) | :: | location | The DART location_type 'location' of the desired state estimate. |
||
| integer, | intent(in) | :: | obs_kind | The DART KIND of the variable being estimated. |
||
| real(kind=r8), | intent(out) | :: | expected_obs(ens_size) | The state estimate of the 'obs_kind' at 'location' |
||
| integer, | intent(out) | :: | istatus(ens_size) | A flag to signal the success of the interpolation. |
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| type(model_type), | intent(in) | :: | var | |||
| real(kind=r8), | intent(out) | :: | st_vec(:) |
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| real(kind=r8), | intent(in) | :: | st_vec(:) | |||
| type(model_type), | intent(inout) | :: | var |
Subroutine get_close_obs
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| type(get_close_type), | intent(in) | :: | filt_gc | |||
| type(location_type), | intent(in) | :: | base_obs_loc | |||
| integer, | intent(in) | :: | base_obs_type | |||
| type(location_type), | intent(inout) | :: | locs(:) | |||
| integer, | intent(in) | :: | kinds(:) | |||
| integer, | intent(out) | :: | num_close | |||
| integer, | intent(out) | :: | close_indices(:) | |||
| real(kind=r8), | intent(out) | :: | distances(:) | |||
| type(ensemble_type), | intent(in) | :: | state_handle |
wrapper for convert_vert so it can be called from assim_tools
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| type(ensemble_type), | intent(in) | :: | state_handle | |||
| type(location_type), | intent(inout) | :: | obs_loc | |||
| integer, | intent(in) | :: | obs_kind | |||
| integer, | intent(out) | :: | vstatus |
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| type(ensemble_type), | intent(inout) | :: | state_handle | |||
| integer, | intent(in) | :: | ens_size | |||
| real(kind=r8), | intent(in) | :: | pert_amp | |||
| logical, | intent(out) | :: | interf_provided |
Subroutine init_conditions reads in restart initial conditions -- noop for CESM atmospheric components.
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| real(kind=r8), | intent(inout) | :: | st_vec(:) |
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| type(model_type), | intent(inout) | :: | var |
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| type(model_type), | intent(inout) | :: | var |
Subroutine adv_1step advances model 1 forecast length -- noop for CESM atmospheric components.
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| real(kind=r8), | intent(inout) | :: | st_vec(:) | |||
| type(time_type), | intent(in) | :: | Time |
Subroutine end_model deallocates arrays that are in module global storage.
Subroutine init_time reads in initial time -- noop for CESM atmospheric components.
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| type(time_type), | intent(out) | :: | time |


Preparation time
30 mins to 1 hour
Cooking time
10 to 30 mins
Serves
Serves 4
This super-impressive fish dish pairs delicate lemon sole with earthy cauliflower and sweet langoustines.
Blend four of the pieces of lemon sole and all of the offcuts in a food processor with 75ml/2¾fl oz of the cream, until the mixture has been reduced to a fine paste. Season with salt and freshly ground black pepper and pulse once more until smooth, then transfer the mixture to a piping bag.
Lay 4 pieces of the lemon sole onto separate sheets of aluminium foil and season all over with salt and freshly ground black pepper.
Pipe a layer of the fish and cream mixture all over each piece of lemon sole. Top each with another piece of lemon sole and top that with another layer of the fish and cream mixture. Finish each with a third piece of lemon sole. You should end up with four stacks of fish, each containing 3 rectangles of lemon sole and 2 layers of filling.
Wrap each lemon sole stack in its sheet of foil, then chill in the fridge until ready to cook.
Meanwhile, add half of the cauliflower florets to a saucepan and pour over the remaining cream. Bring to the boil, then reduce the heat and simmer for 4-5 minutes, or until the cauliflower florets are tender.
Transfer the cauliflower and cream to a clean food processor and blend to a fine purée. Season, to taste, with salt and freshly ground black pepper. Set aside until needed.
Bring a pan of salted water to the boil and cook the remaining cauliflower florets for 2-3 minutes, or until just tender. Drain well.
Finely grate the remaining raw cauliflower into a bowl, then grate over the boiled egg and stir in the chives until well combined.
In a separate bowl, whisk the white balsamic vinegar and olive oil together until well combined. Set aside.
Suspend a steamer over a pan of simmering water. Add the sole parcels to the steaming basket, cover and steam for 6-8 minutes, or until just cooked through. Remove from the steamer and, when cool enough to handle, carefully unwrap and discard the foil,
Just before serving, spoon two-thirds of the dressing over the cauliflower and egg salad and mix to coat. Season with salt and freshly ground black pepper.
Mix the remaining dressing with the drained cauliflower florets and cooked langoustines and stir gently to coat.
To serve, drizzle a line of the cauliflower and cream purée across the centre of each plate. Place one lemon sole stack on top of each line, in the centre. Spoon a portion of the cauliflower and egg mixture on one side, and the cauliflower and langoustines on the other side. Garnish with fennel fronds, if desired.


#include <stPlainDiskPageManager.h>
Inheritance diagram for stPlainDiskPageManager:
Public Member Functions | |
| stPlainDiskPageManager (const char *fName, stSize pagesize) | |
| stPlainDiskPageManager (const char *fName) | |
| virtual | ~stPlainDiskPageManager () |
| virtual bool | IsEmpty () |
| virtual stPage * | GetHeaderPage () |
| virtual stPage * | GetPage (stPageID pageid) |
| virtual void | ReleasePage (stPage *page) |
| virtual stPage * | GetNewPage () |
| virtual void | WritePage (stPage *page) |
| virtual void | WriteHeaderPage (stPage *headerpage) |
| virtual void | DisposePage (stPage *page) |
| virtual stSize | GetMinimumPageSize () |
| void | SetSystemCache (bool enabled) |
The implementation is based on the standard I/O system calls. All read/write operations are performed without chaching pages. As an additional feature, it is possible to disable the system I/O cache in some operational systems.
Marcos Rodrigues Vieira<EMAIL_ADDRESS>Definition at line 104 of file stPlainDiskPageManager.h.
|
|
Creates a new instance of this class. This constructor will create a new file with the given name.
|
|
|
Creates a new instance of this class. This constructor will open an existing file.
|
|
|
Disposes this page and free all allocated resources. |
|
|
Disposes the given page. This method will make the page available (not allocated) for the next calls of GetNewPage(). Since this page will not be used anymore, this method will release the lock for this page instance.
Implements stPageManager. |
|
|
Returns the header page. This method will return a special page that will be used by SlimTree to write some information about the tree itself. Since this page must always exist, this method will always return a valid page for reading/writing. Use WritePage() to write this page. The returning instance of stPage will be locked to prevent its reuse by this page manager. Use ReleasePage() to unlock this instance.
Implements stPageManager. |
|
|
Returns the minimum size of a page. The size of the header page is always ignored since it may be smaller than others. Implements stPageManager. Definition at line 243 of file stPlainDiskPageManager.h. References stSize. |
|
|
Allocates a new page for use. As GetPage() and GetHeaderPage(), the returning instance will be locked to prevent reuse by this page manager. To dispose this page (make it free), use DisposePage().
Implements stPageManager. |
|
|
Returns the page with the given page ID. This method will return a valid page for reading/writing. Use WritePage() to write this page. The returning instance of stPage will be locked to prevent its reuse by this page manager. Use ReleasePage() to unlock this instance.
Implements stPageManager. |
|
|
This method will checks if this page manager is empty. If this method returns true, the stSlimTree will create a new tree otherwise it will continue to use the existing tree.
Implements stPageManager. |
|
|
Releases this instace for reuse by this page manager. Since some implementations of page manager will reuse instances of stPage to avoid unnecessary resource reallocations, each page instance must be locked until it becomes unecessary. The stSlimTree will always call this method when a stPage instance will not be used in a near future.
Implements stPageManager. |
|
|
This method allows users to enable/disable system I/O cache in certain OS. If this operation is not supported, this implementation does nothing.
Definition at line 253 of file stPlainDiskPageManager.h. |
|
|
Writes the header page to the disk.
Reimplemented from stPageManager. |
|
|
Writes the given page to the disk. This method will write the page but will not release it. Use ReleasePage() to do it.
Implements stPageManager. |


Pig Dice
How many dice would you like to play with?
Submit
Player 1
Player 2
Turn Score =
Roll
End Turn
Player 1 Score =
Player 2 Score =


I am Jaiyah Nakayla Alexis Haywood Braithwaite. My birthday is December 20.(sagittarius) I have 6 siblings, ages between 8months-18yrs old. I attend Kingsborough Community College....
I attended a program called CORO to help build my leadership and communication skills. While i was there i created a safe hallway event which was a public statement against violence which included local and city-wide politicians, NYPD, and the student body. I have over 400 hours of community service. I've helped people in Far Rockaway after Hurricane Sandy hit, volunteered in soup kitchens for the holidays, painted my high school bathrooms, tutored struggling students in Sunset Elementary school and...etc I worked as an inventory associate at a compay caled WIS International.


Laptop Repairs Laptops can be very expensive to replace or repair, so you should get a full diagnosis from an expert before even considering either of these options. If your laptop is buggy, slow or not working – speak to one of our knowledgeable staff to get our expert opinion on your proposed laptop repair or replacement.
PC Repairs We offer a fast, diagnostic and repair service on a ‘no-fix no-fee’ basis – for your complete satisfaction. If you have any make of pc which is not working, speak to our expert repair team and we’ll recommend a suitable solution we’re sure you’ll be happy with.


Assistance Required
问题描述 :
The first contestant in the queue was asked for his number (which was 2). He was freed from the washing up and could party on, but every second contestant behind him had to go to the kitchen (those with numbers 4, 6, 8, etc). Then the next contestant in the remaining queue had to tell his number. He answered 3 and was freed from assisting, but every third contestant behind him was to help (those with numbers 9, 15, 21, etc). The next in the remaining queue had number 5 and was free, but every fifth contestant behind him was selected (those with numbers 19, 35, 49, etc). The next had number 7 and was free, but every seventh behind him had to assist, and so on.
Let us call the number of a contestant who does not need to assist with washing up a lucky number. Continuing the selection scheme, the lucky numbers are the ordered sequence 2, 3, 5, 7, 11, 13, 17, etc. Find out the lucky numbers to be prepared for the next contest party.
输入:
输出:
样例输入:
1 2 10 20 0
样例输出:
2 3 29 83
解题代码:
//* @author<EMAIL_ADDRESS>import java.util.*; public class Main { public static void main(String[] args) { ArrayList< Integer> a=new ArrayList< Integer>(); for(int i=2;i< 35000;i++) a.add(i); int count=0; while(count< a.size()) { for(int i=count+a.get(count);i< a.size();i+=a.get(count)) a.set(i, 0); for(int i=0;i< a.size();i++) if(a.get(i)==0){ a.remove(i); } count++; } Scanner in=new Scanner(System.in); while(true) { int w=in.nextInt(); if(w==0) break; System.out.println(a.get(w-1)); } } }
这个问题应该是有一般性的解决方法
不错，现在就缺少新的资料
很好。代码比书上的简练！
afsasfasfasf
Java真是解决大数的利器
m /= i; 是一直在变的。参考这一篇关于质因数的http://www.acmerblog.com/integer-factorization-5124.html
博主的C++功底真是好
nice!!!
1234百位上出现的次数应该是200吧。
以了解 想問為甚麼 Tbl[6001] = {1} 初始化都是1
為何不是Tbl[0]=1 其他為0
在第 18行的，while(scanf("%d %dn", &n, &c), n)，这句有错吧
刚开始学习，为啥会报错了
.net中char类型不是两个字节么
这个问题别太纠结了，不同的编译器结果不一


Open Source database for contract metadata
Currently 1208 tokens, across 6 networks.
| Name: | |
| Website: | |
| Description: | |
| Logo link: | |
| Support e-mail: | |
| Whitepaper: |
|
Announcement url:
New address:
Symbol:
Decimals: Name:
Symbol:
|
| {{social}} |


DISTINCT AROMA COFFEE Lorem ipsum dolor sit amet, nec ne oficiis electram. dolore nominati vim et. READ MORE NEW COFFEE FLAVOURS READ MORE THIS FRIDAY 25% OFF READ MORE What Happens Here COFFEE HOUSE MERCHANDISE AMAZING COFFEE WITH BARISTA BARISTA COFFEE SHOP NOW AMAZING COFFEE WITH BARISTA BARISTA COFFEE SHOP NOW ADD TO CART PAPER POUCH $46.00 ADD TO CART PLASTIC POUCH $27.00 ADD TO CART TEA POUCH $54.00 ADD TO CART CHOCO BITES $63.00 ADD TO CART PAPER BAG $79.00 ADD TO CART COFFEE POT $71.00 ADD TO CART PAPER CUT $46.00 ADD TO CART GROUND COFFEE $46.00 What Happens Here THIS FRIDAY 25% OFF & SPECIAL GIFT READ MORE NEW COFFEE FLAVOURS READ MORE NEW COFFEE SHOP READ MORE


Because there was a lot of great music this year (and I need to kill some time waiting for a haircut), here's a list of my favorite albums of 2016 (in order of release date - not preference):
1. Blackstar - David Bowie
2. Andrew Bird - Are you Serious?
3. Stranger to Stranger - Paul Simon
4. The Colour In Everything - James Blake
5. A Moon Shaped Pool - Radiohead
6. How to be a human being - Glass Animals
7. Miss Sharon Jones! - Sharon Jones (note: technically a compilation, but there's a couple new ones, and the vinyl version sounds amazing)
8. Shearwater Plays David Bowie's Lodger (you can only get it here, due to licensing
https://shearwater.bandcamp.com/album/shearwater-plays-lodger )
9. You Want it Darker - Leonard Cohen
10. Before the Dawn - Kate Bush (her first live show in 35 years!)


3.8
domestic | environment | private wastewater treatment systems – treatment plants | 2005
Every private
wastewater
treatment plant or septic tank serving a
building
must be designed and
constructed
in such a way that it will
ensure the safe temporary storage and treatment of wastewater prior
to discharge.
3.8.0 Introduction
A
wastewater
treatment system is an effective, economical way of treating
wastewater
from
buildings
. It consists of 2 main components, a watertight
underground tank into which raw sewage is fed and a system designed to
discharge the
wastewater
safely to the environment without pollution. This is
normally an infiltration field through which
wastewater
is released to the
ground, but when ground conditions are not suitable, a discharge to a
watercourse or coastal waters may be permitted. The infiltration field provides
secondary treatment and is often critical for protecting the environment from
pollution. Not all treatment plants treat to the same standard, for example,
biological treatment plants treat the
wastewater
to a much higher standard
than septic tanks prior to release of the
wastewater
thus reducing pollution
and permitting a smaller infiltration field. As there are many different types of
treatment plants with varying degrees of efficiency, then the type chosen
should be selected for the effluent standard required to protect the
environment.
Although a septic tank is a basic form of treatment plant, it has been
specifically mentioned in the guidance to clarify the recommendations.
Package treatment plant is the term applied to a range of systems
engineered to treat a given hydraulic and organic load using prefabricated
components that can be installed with minimal
site work
.
Guidance on the
construction
and installation of drains discharging into
private
wastewater
treatment plants or septic tanks is covered in standard
3.7.
In the case of
conversions
, as specified in regulation 4, the
building
as
converted
shall meet the requirement of this standard (regulation 12,
schedule 6).
3.8
—
3.8.0
domestic | environment | private wastewater treatment systems – treatment plants | 2005
3.8.1 Treatment plants
Where it is not
reasonably practicable
to connect to a public sewer or a public
wastewater
treatment plant then discharge should be to a private
wastewater
treatment plant or septic tank.
Treatment plants provide suitable conditions for the settlement, storage and
partial decomposition of solids that need to be removed at regular intervals.
The discharge can however still be harmful and will require great care when
discharging to ground to ensure a suitable level of protection of the
environment is achieved. A large number of small sewage treatment works in
a limited area is undesirable. The guidance to standard 3.9 deals with the
infiltration system that should be
constructed
as an integral part of the
treatment plant or septic tank.
When sizing and selecting the
wastewater
treatment plant the designer
should take full account of all population loadings, effluent treatment
standard, and also where appropriate, any unusual pollution loads such as
waste disposal units.
Domestic use of detergents and disinfectants is not detrimental but excessive
use may have a harmful effect on the performance of the sewage treatment
works. The British Water Code of Practice, Flows and Loads – 2, provides
guidance on sizing criteria and treatment capacity for small (maximum 1000
population equivalent)
wastewater
treatment systems.
A private
wastewater
treatment plant and septic tank should be designed,
constructed
and installed in accordance with:
a. the recommendations of BS EN 12566-1: 2000, for a prefabricated septic
tank; or
b. the recommendations of BS 6297: 1983; or
c. the conditions of certification by a
notified body
.
3.8.2 Treatment plant covers
The settlement tank of a private
wastewater
plant and a septic tank should
have a securely sealed, solid cover that is capable of being opened by 1
person using standard operating keys.
3.8.3 Inspection and sampling
A private
wastewater
plant and septic tank should be provided with a
chamber for the inspection and sampling of the
wastewater
discharged from
the tank. The owner should carry out inspection at regular intervals and
SEPA may sample the effluent to ensure compliance with any discharge
consent. A chamber should be provided in accordance with the following
diagram:
3.8.1
—
3.8.3
domestic | environment | private wastewater treatment systems – treatment plants | 2005
Section through inspection chamber
3.8.4 Location of a treatment plant
Research has shown that there are no health issues that dictate a safe
location of a treatment plant or septic tank relative to a
dwelling
. However
damage to the
foundations
of a
dwelling
has been shown to occur where
leakage from the tank has occurred. In the unlikely event of there being
leakage, it is sensible to ensure that any water bearing strata directs any
effluent away from the
dwelling
. To prevent any such damage therefore,
every part of a private
wastewater
plant and septic tank should be located at
least 5 m from a
dwelling
.
Every part of a private
wastewater
plant and septic tank should be located at
least 5 m from a
boundary
in order that an adjoining plot is not inhibited from
its full development potential.
3.8.5 Discharges from septic tanks and treatment plants
Where mains drainage is not available, it may be possible to discharge
treated
wastewater
to ground via an infiltration system, as described in
clause 3.9.2, or to a water course, loch or coastal waters.
SEPA consents
SEPA will require an authorisation, under the terms of the Water Environment
(Controlled Activities)(Scotland) Regulations 2005 to be applied for all
discharges of sewage effluent whether to ground via an infiltration system or
to a watercourse.
3.8.6 Access for desludging
Wastewater
treatment plants should be inspected monthly to check they are
working correctly. The effluent in the outlet from the tank should be free
flowing. The frequency of desludging will depend upon the capacity of the
tank and the amount of waste draining to it from the
dwelling
but further
advice on desludging frequencies should be obtained from the tank
manufacturer or the desludging contractor.
A private
wastewater
treatment plant and septic tank should be provided with
an access for desludging. The desludging tanker should be provided with
access to a working area that:
•
will provide a clear route for the suction hose from the tanker to the tank;
and
•
is not more than 25 m from the tank where it is not more than 4 m higher
than the invert level of the tank; and
•
is sufficient to support a vehicle axle load of 14 tonnes.
3.8.3
—
3.8.6
domestic | environment | private wastewater treatment systems – treatment plants | 2005
3.8.7 Labelling
Every
dwelling
with a drainage system discharging to a private
wastewater
treatment plant or septic tank should be provided with a label to alert the
occupiers
to such an arrangement. The label should describe the
recommended maintenance necessary for the system and should include the
following:
‘The drainage system from this property discharges to a wastewater
treatment plant (or septic tank, as appropriate). The owner is legally
responsible for routine maintenance and to ensure that the system
complies with any discharge consent issued by SEPA and that it
does not present a health hazard or a nuisance’.
The label should be located adjacent to the gas or electricity consumer unit or
the water stopcock.
3.8.7
—
3.8.7


Plotting data¶
Often we want to plot loss or accuracy of a network training over time to get an impression of convergence speed. nuts-ml provides a simple plotting nut to facilitate this need. The following code example demonstrates the basic usage by plotting a squared numbers
>>> samples = (x**2 for x in range(100))
>>> samples >> PlotLines(None) >> Consume()
and here the output plot:
Note that the plot updates live with each sample read from samples
and closes
immediately once the plotting is finished. Since the samples are just numbers
(and not tuples) we specify None
as column index in PlotLines
.
PlotLines
allows to plot multiple sample columns. In this next example we
plot 2*x
and x**2
and specify the corresponding sample columns
(0,1)
in PlotLines
:
>>> samples = ((2*x, x**2) for x in range(100))
>>> samples >> PlotLines((0,1), layout=(2,1), titles=('2x','x**2')) >> Consume()
We want the two plots of the figure to appear in one column
(instead of next to each other) and therefore set the layout
to 2 rows and 1 column. titles
allows to set titles for the individual plots.
Let us conclude this section with a more realistic example. The following code sketch plots the loss and accuracy of a network training per batch and per epoch. The generated figures are written to image files in PNG format instead of being displayed:
plot_batch = PlotLines((0,1), every_sec=5, filepath='batch.png')
plot_epoch = PlotLines((1,2), 0, layout=(2,1), filepath='epoch.png')
mean = Mean()
for epoch in range(EPOCHS):
t_loss, t_acc = (train_samples >> ... >> build_batch >>
network.train() >> plot_batch >> Unzip())
plot_epoch( (epoch, mean(t_loss), mean(t_acc) )
For a large train set many batches will be created and losses computed.
We are only interested in a subset of those and set every_sec=5
to plot batch-wise loss and accuracy every 5 seconds. Alternatively
we could specify every_n=10
to plot for every 10-th batch.
When plotting the mean loss and average per epoch via plot_epoch
we provide a tuple of format (<epoch>, <mean loss>, <mean acc>)
.
We want the x-axis to show the epoch and the y-axes to show loss
and accuracy. The column indices specified in PlotLines
for the y-axes are therefore (1,2)
and the values for the x-axis
are in column 0 of the samples. Run help(PlotLines)
for more
details and the description of other parameters.


{% seo %}
By: John David Lamzon
Follow the procedure:
ansible --version
- If you dont have Ansible, install Ansible according on what type of package of your Linux.
- After installing Ansible, you can create an Ansible configuration file by ansible.cfg
vim (inventory name)
- Name the hostname of your machines by this [hostname]
- Check the IP addresses of your machines and put it inside the inventory file.
- Save the inventory file pressing ESC and type :wq!
ansible (hostname) -m setup (module or file)
, it will do the setup for the hostname/s included in the program.
- Using the commandansible (hostname) -m shell -a (linux commands)
, it will run a bash scripts.
.
├── 1811683
│ └── quiz21
│ └── README.md
└── README.md
2 directories, 2 files


{% extends "dashboard/dashboard.html" %} {% block dashboard_content %} {% block dashboard_breadcrumb %} Projects {{project}} {{investigation}} {% endblock dashboard_breadcrumb %} Projects Platters Operators
{{investigation.description|escape|safe}}
No activity
{{growth.date}}


Browser: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:10.0) Gecko/20100101 Firefox/10.0
My BBLog Addon Version is: the latest at this date: 05/02/2012
When your mouse is on the medal 'Team deathmatch" it's linked with the ribbons which shows how many tdm you did and not how many you won so it's wrong linked ;)
Thanks for the amazing addon
BrainFooLong
Administrator
Yes, bug is already reported multiple times.
Greetz


Circuit closures matroids#
Matroids are characterized by a list of all tuples \((C, k)\), where \(C\) is the closure of a circuit, and \(k\) the rank of \(C\). The CircuitClosuresMatroid class implements matroids using this information as data.
Construction#
A CircuitClosuresMatroid
can be created from another matroid or from a
list of circuit-closures. For a full description of allowed inputs, see
below
.
It is recommended to use the
Matroid()
function for a more
flexible construction of a CircuitClosuresMatroid
. For direct access to
the CircuitClosuresMatroid
constructor, run:
sage: from sage.matroids.advanced import *
See also sage.matroids.advanced
.
EXAMPLES:
sage: from sage.matroids.advanced import *
sage: M1 = CircuitClosuresMatroid(groundset='abcdef',
....: circuit_closures={2: ['abc', 'ade'], 3: ['abcdef']})
sage: M2 = Matroid(circuit_closures={2: ['abc', 'ade'], 3: ['abcdef']})
sage: M3 = Matroid(circuit_closures=[(2, 'abc'),
....: (3, 'abcdef'), (2, 'ade')])
sage: M1 == M2
True
sage: M1 == M3
True
Note that the class does not implement custom minor and dual operations:
sage: from sage.matroids.advanced import *
sage: M = CircuitClosuresMatroid(groundset='abcdef',
....: circuit_closures={2: ['abc', 'ade'], 3: ['abcdef']})
sage: isinstance(M.contract('a'), MinorMatroid)
True
sage: isinstance(M.dual(), DualMatroid)
True
AUTHORS:
Rudi Pendavingh, Stefan van Zwam (2013-04-01): initial version
Methods#
- class sage.matroids.circuit_closures_matroid.CircuitClosuresMatroid#
Bases:
Matroid
A general matroid \(M\) is characterized by its rank \(r(M)\) and the set of pairs
\((k, \{\) closure \((C) : C ` circuit of ` M, r(C)=k\})\) for \(k=0, .., r(M)-1\)
As each independent set of size \(k\) is in at most one closure(\(C\)) of rank \(k\), and each closure(\(C\)) of rank \(k\) contains at least \(k + 1\) independent sets of size \(k\), there are at most \(\binom{n}{k}/(k + 1)\) such closures-of-circuits of rank \(k\). Each closure(\(C\)) takes \(O(n)\) bits to store, giving an upper bound of \(O(2^n)\) on the space complexity of the entire matroid.
A subset \(X\) of the ground set is independent if and only if
\(| X \cap ` closure `(C) | \leq k\) for all circuits \(C\) of \(M\) with \(r(C)=k\).
So determining whether a set is independent takes time proportional to the space complexity of the matroid.
INPUT:
M
– (default:None
) an arbitrary matroid.groundset
– (default:None
) the groundset of a matroid.circuit_closures
– (default:None
) the collection of circuit closures of a matroid, presented as a dictionary whose keys are ranks, and whose values are sets of circuit closures of the specified rank.
OUTPUT:
If the input is a matroid
M
, return aCircuitClosuresMatroid
instance representingM
.Otherwise, return a
CircuitClosuresMatroid
instance based ongroundset
andcircuit_closures
.
Note
For a more flexible means of input, use the
Matroid()
function.EXAMPLES:
sage: from sage.matroids.advanced import * sage: M = CircuitClosuresMatroid(matroids.named_matroids.Fano()) sage: M Matroid of rank 3 on 7 elements with circuit-closures {2: {{'a', 'b', 'f'}, {'a', 'c', 'e'}, {'a', 'd', 'g'}, {'b', 'c', 'd'}, {'b', 'e', 'g'}, {'c', 'f', 'g'}, {'d', 'e', 'f'}}, 3: {{'a', 'b', 'c', 'd', 'e', 'f', 'g'}}} sage: M = CircuitClosuresMatroid(groundset='abcdefgh', ....: circuit_closures={3: ['edfg', 'acdg', 'bcfg', 'cefh', ....: 'afgh', 'abce', 'abdf', 'begh', 'bcdh', 'adeh'], ....: 4: ['abcdefgh']}) sage: M.equals(matroids.named_matroids.P8()) True
- circuit_closures()#
Return the list of closures of circuits of the matroid.
A circuit closure is a closed set containing a circuit.
OUTPUT:
A dictionary containing the circuit closures of the matroid, indexed by their ranks.
See also
EXAMPLES:
sage: from sage.matroids.advanced import * sage: M = CircuitClosuresMatroid(matroids.named_matroids.Fano()) sage: CC = M.circuit_closures() sage: len(CC[2]) 7 sage: len(CC[3]) 1 sage: len(CC[1]) Traceback (most recent call last): ... KeyError: 1 sage: [sorted(X) for X in CC[3]] [['a', 'b', 'c', 'd', 'e', 'f', 'g']]
- full_rank()#
Return the rank of the matroid.
The rank of the matroid is the size of the largest independent subset of the groundset.
OUTPUT:
Integer.
EXAMPLES:
sage: M = matroids.named_matroids.Vamos() sage: M.full_rank() 4 sage: M.dual().full_rank() 4
- groundset()#
Return the groundset of the matroid.
The groundset is the set of elements that comprise the matroid.
OUTPUT:
A set.
EXAMPLES:
sage: M = matroids.named_matroids.Pappus() sage: sorted(M.groundset()) ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i']


{% extends 'layouts/layout.html' %} {% block pageTitle %} About - NHS.UK prototype kit {% endblock %} {% block beforeContent %} {{ breadcrumb({ items: [ { href: "/diat/home", text: "Home" }, { href: "/diat/guidance", text: "Guidance and tools" } ], href: "/diat/tech-stack", text: "Tech-stack" }) }} {% endblock %} {% block content %}
NHSBSA recommended languages, frameworks and technology, including information on technologies in the complete tech stack.
Our technical service requirements must always be followed.
Our recommended languages for application development are:
If you want more information on recommended technologies or to use something not on this list, email #
Home Office Forms is an open source set of libraries for quickly building accessible, government styled forms.
Our hosting platform is built on Docker...
NCSC Web Check lets you monitor the security status of your public URLs. It checks the TLS (HTTPS) setup for your site, including server certificate validity and warnings for certificates about to expire.
Some teams use Screenhero (only available on Macs) and Chrome Remote Desktop.
You may also find the following content useful:


Sometimes my fear of the blank page prevents me from writing anything at all.
Freewriting, the act of writing anything that comes to your mind for a few minutes, can help overcoming this fear by forcing you to write without judging what you've written.
I've found that I cannot stop judging the quality of what I've written during freewriting even if I try. The simple fact that the result of my writing lies before me on the screen triggers me look for typos, grammar mistakes and bad style.
This site was created to help me practice freewriting. The text field deletes everything that was written in it after two seconds, preventing me from judging my output altogether.
I could just use a text editor and delete my output manually every few seconds. I've found that knowing that what I write will be deleted automatically helps keeping anxiety low.
I've also written a small site that contains writing exercises. There's not a lot of content on it, but it's free and might help you to ignite your creative spark.
If you have any feedback or suggestions for this site, write me an email.


1st instance - chocolate defined within embed-page inline.
Note the TEMPLATE wrapper which prevents execution of code
within EMBED-PAGE in page context
1. This H3 element should NOT be in Courier(monospace) font and NOT in green
2. Insulated HTML in monospace font
by setting content from from text area:
Visual demo steps
CSS
1. The H3 header above should be intact(default) in color and text size.
2. The H3 from embedded content should be in monospace font.
JS 3. Click on 'make blue' the embedded H3 should be blue colored.
4. After 'innerHTML' click the H3 from embedded content should become green.


Here allows changing of the resolution on the fly, using the on error and on open callback functions
Requested Dimensions: {{resWidth}} x {{resHeight}}
Actual video size: {{actualWidth}} x {{actualHeight}}


Source code for torchlayers.pooling
import typing
import torch
from . import _dev_utils
class _GlobalPool(torch.nn.Module):
def __init__(self):
super().__init__()
self._operation = self._maximum if "Max" in type(self).__name__ else self._mean
def _mean(self, tensor):
return torch.mean(tensor, axis=-1)
def _maximum(self, tensor):
values, _ = torch.max(tensor, axis=-1)
return values
def __repr__(self):
return "{}()".format(type(self).__name__)
def forward(self, inputs):
while len(inputs.shape) > 2:
inputs = self._operation(inputs)
return inputs
[docs]class GlobalMaxPool(_GlobalPool):
"""Perform `max` operation across first `torch.Tensor` dimension.
Usually used after last convolution layer to get pixels of maximum value
from each channel.
Depending on shape of passed `torch.Tensor` either `1D`, `2D` or `3D` pooling will be used
for `3D`, `4D` and `5D` shape respectively (batch included).
Returns
-------
`torch.Tensor`
`2D` tensor `(batch, features)`
"""
[docs]class GlobalAvgPool(_GlobalPool):
"""Perform `mean` operation across first `torch.Tensor` dimension.
Usually used after last convolution layer to get mean of pixels
from each channel.
Depending on shape of passed `torch.Tensor` either `1D`, `2D` or `3D` pooling will be used
for `3D`, `4D` and `5D` shape respectively (batch included).
Returns
-------
`torch.Tensor`
`2D` tensor `(batch, features)`
"""
[docs]class MaxPool(_dev_utils.modules.InferDimension):
"""Perform `max` operation across first `torch.Tensor` dimension.
Depending on shape of passed `torch.Tensor` either `torch.nn.MaxPool1D`,
`torch.nn.MaxPool2D` or `torch.nn.MaxPool3D` pooling will be used
for `3D`, `4D` and `5D` shape respectively (batch included).
Default value for `kernel_size` (`2`) was added.
Parameters
----------
kernel_size: int, optional
The size of the window to take a max over. Default: `2`
stride: int, optional
The stride of the window. Default value is :attr:`kernel_size`
padding: int, optional
Implicit zero padding to be added on both sides. Default: `0`
dilation: int
Parameter controlling the stride of elements in the window. Default: `1`
return_indices: bool, optional
If ``True``, will return the max indices along with the outputs.
Useful for :class:`torch.nn.MaxUnpool` later. Default: `False`
ceil_mode: bool, optional
When True, will use `ceil` instead of `floor` to compute the output shape.
Default: `False`
Returns
-------
`torch.Tensor`
Same shape as `input` with values pooled.
"""
def __init__(
self,
kernel_size: int = 2,
stride: int = None,
padding: int = 0,
dilation: int = 1,
return_indices: bool = False,
ceil_mode: bool = False,
):
super().__init__(
kernel_size=kernel_size,
stride=stride,
padding=padding,
dilation=dilation,
return_indices=return_indices,
ceil_mode=ceil_mode,
)
[docs]class AvgPool(_dev_utils.modules.InferDimension):
"""Perform `avg` operation across first `torch.Tensor` dimension.
Depending on shape of passed `torch.Tensor` either `torch.nn.AvgPool1D`,
`torch.nn.AvgPool2D` or `torch.nn.AvgPool3D` pooling will be used
for `3D`, `4D` and `5D` shape respectively (batch included).
Default value for `kernel_size` (`2`) was added.
Parameters
----------
kernel_size: int, optional
The size of the window. Default: `2`
stride: int, optional
The stride of the window. Default value is :attr:`kernel_size`
padding: int, oprtional
Implicit zero padding to be added on both sides. Default: `0`
ceil_mode: bool, opriontal
When True, will use `ceil` instead of `floor` to compute the output shape.
Default: `True`
count_include_pad: bool, optional
When True, will include the zero-padding in the averaging. Default: `True`
Returns
-------
`torch.Tensor`
Same shape as `input` with values pooled.
"""
def __init__(
self,
kernel_size: int = 2,
stride: int = None,
padding: int = 0,
ceil_mode: bool = False,
count_include_pad: bool = True,
):
super().__init__(
kernel_size=kernel_size,
stride=stride,
padding=padding,
ceil_mode=ceil_mode,
count_include_pad=count_include_pad,
)


Index
All Classes|All Packages
P
- pane - Variable in class com.ae2dms.UI.HighScoreBar.HighScoreBarControllerTest
- parseToTimeFormat(int) - Static method in class com.ae2dms.Business.GameTimer
-
static function convert the time in seconds to ??:??
- pause() - Method in class com.ae2dms.Business.GameTimer
-
called to pause a timer
- PAUSE - com.ae2dms.UI.Game.GameStatus
-
Pause game status.
- PAUSE - com.ae2dms.UI.MediaState
-
Media is paused,
- play() - Method in class com.ae2dms.UI.GameMediaPlayer
-
Shuffle play music in the bgmList
- play(String) - Method in class com.ae2dms.UI.GameMediaPlayer
-
play the specified musicName in the bgmList;
- PLAY - com.ae2dms.UI.Game.GameStatus
-
Play game status.
- PLAY - com.ae2dms.UI.MediaState
-
Media is playing
- player - Variable in class com.ae2dms.Business.Data.Level
-
The Player object in this level.
- player - Variable in class com.ae2dms.UI.Game.GameViewController
-
GameMediaPlayer instance
- player - Variable in class com.ae2dms.UI.SoundPreferenceController
-
The GameMediaPlayer that this controller can control, including volume, songs and progress
- Player - Class in com.ae2dms.GameObject.Objects
-
The Player that user can manipulate on
- Player(Level, int, int) - Constructor for class com.ae2dms.GameObject.Objects.Player
-
Instantiates a new Player.
- playerName - Variable in class com.ae2dms.Business.Data.GameRecord.Record
-
The Player name.
- playerObject - Variable in class com.ae2dms.Business.GameDocument
-
always point to the Player object in the current level
- pointer - Variable in class com.ae2dms.IO.ModifiedBufferReader
-
The Pointer.
- pop() - Static method in class com.ae2dms.Business.GameStageSaver
-
pop out the last stage on the stack
- popUp(Node) - Static method in class com.ae2dms.UI.ViewUtilities
-
add pup up effects to the specified node
- prefMusicVolume - Static variable in class com.ae2dms.Main.Main
-
The preferred volume of music, from 0 - 100 later bind with musicPlayer in MenuView and GameView
- prefSFXVolume - Static variable in class com.ae2dms.Main.Main
-
The preferred volume of sound effects, from 0 - 100 later bind with AudioClip in MenuView and GameView
- preview - Static variable in class com.ae2dms.UI.Game.DraggableFloorController
-
Preview image of Floor, will be semi-transparent
- previewDragging(MouseEvent) - Method in class com.ae2dms.UI.Game.DraggableFloorController
-
called each time mouse hold and moves position the draggable node under the mouse cursor or place the preview image to underneath grid position
- previewGrid - Variable in class com.ae2dms.UI.Game.DraggableFloorController
-
The First Level grid to add preview Floor when dragging and hovering Floor behind
- primaryStage - Static variable in class com.ae2dms.Main.Main
-
The static primaryStage shared across.
- push(GameDocument) - Static method in class com.ae2dms.Business.GameStageSaver
-
Push the object onto a stack with limited capacity, can call pop() to restore it
- pushInitialState(GameDocument) - Static method in class com.ae2dms.Business.GameStageSaver
-
should call this everytime load a new map when back to menu and click start again, the initial state will be restored
- pushRecord(int, String, int) - Method in class com.ae2dms.Business.Data.GameRecord
-
create a record and push to records list, will sort and update @bestRecord accordingly will set the record adding time to now()
- pushRecord(int, Date, String, int) - Method in class com.ae2dms.Business.Data.GameRecord
-
create a record and push to records list, will sort and update @bestRecord accordingly will set the record adding time to the given one
- putGameObjectAt(AbstractGameObject, int, int) - Method in class com.ae2dms.Business.Data.GameGrid
-
Put game object at boolean.
- putGameObjectAt(AbstractGameObject, Point) - Method in class com.ae2dms.Business.Data.GameGrid
-
Put game object at boolean.
All Classes|All Packages


2016 was the third year in a row with a record-setting global mean surface temperature (GMST), inviting the question of how much of this burst of recent warming is due to human activities, and how much to natural variability, just as the purported “lack of warming” has been scrutinized before 2014 for the opposite reason 1– 9. This issue matters for policy, given the decision made in UN negotiations to structure international aims around global temperature targets; and it matters even more in view of the proximity of the lower of the two figures mentioned in the 2015 Paris Agreement which has the stated aims of “ Holding the increase in the global average temperature to well below 2 °C above pre- industrial levels and pursuing efforts to limit the temperature increase to 1. 5 °C above pre- industrial levels”. While scientists are familiar with the role of natural variability in GMST, now and on future trajectories 10, 11, policymakers have not (to date) accounted for natural variability in UNFCCC negotiating texts. The phrase “global average temperature” could be given several reasonable interpretations, including annual observed GMST as determined by a single data series; annual observed GMST as determined by several data series; multi-year running means; or, as we argue here, assessments of the anthropogenic component of the observed warming.
Otto et al. 12 proposed an index of human-induced warming based on a simple least-squares fit between observed temperatures and the expected responses to anthropogenic and natural radiative forcing 13. However, they did not provide a thorough assessment of its robustness, its sensitivity to internal variability, or its uncertainty in natural or anthropogenic forcings. They primarily focused on illustrating the utility of such a concept in adaptive mitigation. Here we present a coherent uncertainty analysis for a real-time version of the proposed warming index that satisfies the need for immediate availability. We update it using monthly GMST and revised monthly radiative forcing data. These timely updates are important should an explosive volcanic eruption occur which will lower GMST almost instantly 14. As a reference period we use 1850–79, which represents the earliest 30 year period in most observational records. Since some volcanic activity is recorded in the 1850s, we also test the 1861–1880 period. Years after 1880 are affected by the very negative Krakatoa forcing. Use of earlier reference periods would be closer to “pre-industrial” 15, but that is not possible due to the absence of global instrumental data. The IPCC has often used 1851–1900 as pre-industrial reference period, prompting us to repeat the analysis one more time with this interval.
Whether or not fluctuations in GMST (such as the so-called “hiatus”) 16 and the scientific response thereto 17 have contributed to slow down progress of climate negotiations is a moot point. Now that we have, through the Paris Agreement, an explicit global temperature goal, we believe it is all the more necessary to have an easily accessible and understandable index of total anthropogenic warming, designed to reduce effects of internal and naturally-driven climate variability.


In each step, please rank the options from best (top) to worst (bottom)
Please rank the options (drag from the left to the right side and rank them there), and then choose whether you want a new item ("next item") or whether you are happy with the final answer, and want to finish the experiment ("finish").
You can rank the items by using drag and drop: Click on one number, keep it clicked, and drag it over to the right shaded area. Release it when you want to place it. (If you're having trouble, here's a video: youtu.be/Q9G_0Tz5ohE )


Example:
/**
* Invalid tag name
* @poram param description
*/
public void sample(int param){
}
Example:
/**
* Pointing to itself {@link #sample(int)}
*/
public void sample(int param){
}
Quick-fix adds the unknown Javadoc tag to the list of user defined additional tags.
Use textfield below to define additional Javadoc tags.
Use first checkbox to ignore duplicated 'throws' tag.
Use second checkbox to ignore problem with missing or incomplete first sentence in the description.
Use third checkbox to ignore references pointing to itself.


{{ dropdown-navigation-with-title }}
This implementation guide has master template !!!
{{ page-with-children }}


8. Working with DataObjects
8.7 Handling Inheritance
"Inheritance" is an Object Oriented concept absent in traditional RDBMS. Cayenne however allows to
map a hierarchical class tree to a single base table (so called "single table inheritance"). Such mapping
is described in detail in the
Modeler Guide. The idea of single table inheritance is that a "class" of a database row is determined
from the values in one or more columns of the base table. These columns are called "class designator
columns".
Initial Values of the Classs Designator Columns
Assigning correct values to the
"class designator columns" mentioned above is one task that is not yet automated in Cayenne
and requires user code in the DataObject, as discussed in the next subsection. In the future versions
this will likely be handled in the mapping and completely outside of the Java classes,
so the advise below will become obsolete.
|
8.7.1 Inheritance and new DataObjects
Consider the following class hierarchy (also used in the Modeler Guide example):
If a class designator column is "PERSON_TYPE", AbstractPerson class should define an attribute
(for instance called "personType") that maps to PERSON_TYPE. This attribute
is redundant and meanigless in Java, since person type is defined already by the Java class of the object,
however we still have to keep it around so that when the new objects are saved, correct PERSON_TYPE data is
stored in the database. Currently it is a developer responsibility to set "personType" value (or values of any
other attributes that map to "class designator columns") when the new object is registered with DataContext.
One way to take care of this is to override "setPersistenceState(..)" method on each DataObject class in
the inheritance hierarchy to catch when the object is registered with DataContext:
public class Employee extends _Employee {
public void setPersistenceState(int state) {
super.setPersistenceState(state);
// if object was just created
if(state == PersistenceState.NEW) {
setPersonType("EMPLOYEE");
}
}
...
}
public class Manager extends _Manager {
public void setPersistenceState(int state) {
super.setPersistenceState(state);
// if object was just created
if(state == PersistenceState.NEW) {
setPersonType("MANAGER");
}
}
...
}
public class CustomerContact extends _CustomerContact {
public void setPersistenceState(int state) {
super.setPersistenceState(state);
// if object was just created
if(state == PersistenceState.NEW) {
setPersonType("CUSTOMER");
}
}
...
} |
8.7.2 Inheritance and SelectQueries
When performing SelectQuery on a table that maps to inheritance hierarchy, Cayenne will
only return rows that belong to root class of the query and all its subclasses. No superclasses or
objects from parallel inheritance branches will be returned. For example executing a SelectQuery
with Employee class as root will potentially return a mix of
Employees and Managers (who are also Employees of course), but no CustomerContact objects:
DataContext context;
...
SelectQuery query = new SelectQuery(Employee.class);
List employees = context.performQuery(query);
// employees list will contain "regular" employees and managers
Iterator it = employees.iterator();
while(it.hasNext()) {
Employee e = (Employee) it.next();
if(e instanceof Manager) {
// do something with manager...
}
} |
The need to determine the correct class for each fetched database row makes
queries on entities that use inheritance less efficient than the regular queries.
If an application doesn't care about the query root class subclasses, the
query can be optimized by explicitly turning off inheritance resolution. If this is done,
the example above will return all Managers as instances of Employee class, not Manager class:
DataContext context;
...
SelectQuery query = new SelectQuery(Employee.class);
// *** explicitly turn off inheritance resolution
query.setResolvingInherited(false);
List employees = context.performQuery(query);
// employees list will contain no Manager instances...
// all Managers will be returned as regular Employees |
Relationship Note:
Whenever an object is obtained via a relationship,
it is always fully resolved to the lowest possible subclass in an entity inheritance tree.
|
Warning:
Use "setResolvingInherited(false)" with caution, and only if you never
plan to work with subclasses. The downside of it is that the DataContext may end up with two
objects pointing to the same database row, thus violating uniquing principle. With the above example,
this may happen if at a later time user decides to fetch Managers directly, or if a Manager object is
obtained via a relationship.
|
8.7.3 Current Inheritance Limitations
Custom Types used in subclasses:
As reported in JIRA
issue CAY-207, SelectQueries performed using superclass as a root can't correctly resolve attributes
mapped in subclasses to non-standard (or custom) Java types. Here "standard" mapping means Java class to JDBC
type mapping defined in JDBC specification.
|


- getAdjacentVertices(int) - Method in class lego.Graph
-
Make list of adjacent vertices by outgoing edges
One-thread version faster than multi-thread on 600%.
- getBetweenness() - Method in class lego.Example
-
- getCloseness() - Method in class lego.Example
-
- getDirection() - Method in class lego.Algorithms.Closeness
-
- getDirection() - Method in class lego.Algorithms.Degree
-
- getEnd() - Method in class lego.Edge
-
Get target vertex of the edge
- getGraph() - Method in class lego.Example
-
- getGraph() - Method in class lego.RandomGraph
-
Get generated graph.
- getGraphStatement() - Method in class lego.Example
-
- getIncidentEdges(int) - Method in class lego.Graph
-
Make list of incident edges for vertex
- getLabel() - Method in class lego.Example
-
- getLabel() - Method in class lego.GraphLoader
-
- getOutgoingEdges(int) - Method in class lego.Graph
-
Make list of outgoing edges for vertex
- getParallelStream() - Method in class lego.Graph
-
Make parallel stream of
Edge
- getParallelVertexStream() - Method in class lego.Graph
-
Parallel stream of getVertexStream()
- getPathLength(Graph, int, int) - Method in class lego.Algorithms.BFS
-
Calculate length of shortest path between vertices using breadth-first search algorithm.
- getScores(Graph) - Method in class lego.Algorithms.Betweenness
-
Calculate betweenness centrality for each vertex in graph
and return stream of
CentralityResult
class.
- getScores(Graph) - Method in class lego.Algorithms.Closeness
-
Calculate closeness centrality for each vertex in graph
and return stream of
CentralityResult
class.
- getScores(Graph) - Method in class lego.Algorithms.Degree
-
Calculate degree for each vertex in graph with specific direction
and return stream of
DegreeResult
class.
- getScoresOld(Graph) - Method in class lego.Algorithms.Betweenness
-
- getScoresOld(Graph) - Method in class lego.Algorithms.Closeness
-
- getScoresTwo(Graph) - Method in class lego.Algorithms.Closeness
-
- getStart() - Method in class lego.Edge
-
Get start vertex of the edge
- getStream() - Method in class lego.Graph
-
- getVertexScore(Graph, int) - Method in class lego.Algorithms.Betweenness
-
Calculate betweenness centrality for specific vertex in graph
- getVertexScore(Graph, int) - Method in class lego.Algorithms.Closeness
-
Calculate closeness centrality for specific vertex in graph using
BFS
.
- getVertexScore(Graph, int) - Method in class lego.Algorithms.Degree
-
Calculate degree for specific vertex in graph with specific direction
- getVertexStream() - Method in class lego.Graph
-
Make Stream of vertex ids
- getVerticesCount() - Method in class lego.Graph
-
Count of vertices in the graph
- Graph - Class in lego
-
Class of graph.
- Graph() - Constructor for class lego.Graph
-
Graph constructor
- Graph(Graph) - Constructor for class lego.Graph
-
Copy constructor for graph
- GraphLoader - Class in lego
-
Interface for providing
Graph
.
- GraphLoader(GraphDatabaseService, String) - Constructor for class lego.GraphLoader
-
- GraphLoader(ResourceIterable<Relationship>, String) - Constructor for class lego.GraphLoader
-


Implements interfaces:
Located in /Controller/FrontController.php (line 21)
handleException() - Can either be registered as fallback exception handler with set_exception_handler for more friendly uncatched Exceptions or you can pass an Exception directly to it, like in the handleRequest Method
handleRequest() - This is where the heavy lifting in the Front Controller is done. Routes the request, loads the command, throws an exception if something goes wronng and triggers events for you to handle them.
Four events are thrown throughout the dispatching cycle, they alle have the common namespace of "spark.controller.front_controller.":
setOptions() - Used to set configuration options on the object
Documentation generated on Sun, 13 Jun 2010 20:36:16 +0200 by phpDocumentor 1.4.3


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