Device IP
Browser WAN IP
Gateway
Netmask
Broadcast IP
Unknown
SSID
Password
Update
Use with caution: incorrect values will cause the imp to go offline, requiring direct access and BlinkUp to re-apply the correct settings.
NetTester © Tony Smith, 2020


{% extends 'base.html' %} {% block body %}
{{ error }}
We'll send a confirmation code to your email address


Volkswagen to invest 60 billion euro in e-mobility, digital tech by 2024
FRANKFURT (Reuters) - Volkswagen (VOWG_p.DE) will invest 60 billion euros ($66.12 billion) by 2024 to develop electric and hybrid cars as well as digital technologies, the multi-brand car and truckmaking group said on Friday.
Volkswagen plans to build 75 variants of electric car and around 60 hybrid vehicle models, it said. By 2029 around 26 million electric cars will be built, of which 20 million vehicles will use VW’s electric MEB vehicle platform, the carmaker said.
Volkswagen plans to retool its plant in Emden, Germany to build an electric sports utility vehicle (SUV) from 2022 onwards, and a decision on where to locate a new factory will be taken by year-end, the carmaker said.


Available on the
App Store
Available on the
App Store
Available on the
App Store
Available on the
App Store


Destiny Agrovet is one of the best
We sell quality Day Old Chicks(DOC), Quality poultry equipment, Old Layers, Ducks and duckling, Turkeys(Day old turkey, imported and local) Black Pullets and Brown Pullets, Point of Lay, Guinea fowl, Eggs, Parents Stock, Vaccines, Frozen chicken and turkey
We are a trusted company who is after our customers interest, we give you all satisfaction you can think of.
July 2020
In poultry health management, drugs and vaccine are very essential. Proper care must be taken to avoid excess mortality in the poultry business. Below is the time table for medication and vaccine programme for Broilers. Day 1: Marek vaccine which is usually giving to the chicks at hatchery. On getting to your brooding pen, the chicks just need glucose or multivitamin to ease transportation stress, don't mix the two together to avoid contraindication. Then serve them the broiler starter feed.
July 2020
Many thought raising birds is kind of a big deal, which has discouraged many to start athis profitable business.No one needs to have a formal education before raising birds. There are very necessary knowlegdes (which I will be sharing in this blog) we must have before starting. Firstly we need to note that rearing birds (poultry) is one of the easiest part of farming


AA Authentication, OTP & Refresh Token
Back
Clear application data (localStorage & httponly cookie)
check console for logs
check configs token expiry, refresh expiry, httponly?, use otp = TEST?
Login test / test
Send OTP 111111
Get Private Data
Logout
test


{% extends "layout.html" %} {% block page_title %} Apply for European Structural and Investment Funding {% endblock %} {% block content %} {% include "includes/phase_banner_alpha.html" %} {% include 'includes/page_errors.html' %} Apply for European Structural and Investment Funding Register for an e-claims account to manage your ESIF projects. e-claims Login User ID Given to you when you registered Password {% endblock %}
Register for an e-claims account to manage your ESIF projects.


Function
| Static Public Summary | ||
| public |
delays the call to nextFrame with setTimeout |
|
| public |
create a Promise that resolves in the next Animationframe |
|
| public |
create an animationframe loop that calls a function (callback) in every frame |
|
| public |
create a Promise that resolves in the next Animationframe |
|
| public |
call a function sequencely every next frame on every iterating position of an array |
|
| public |
create a throttled animationframe loop that calls a function (callback) in every specified |
|
| public |
until fn returns a truthy value do not resolve. |
|
| public |
waiting x frames before the Promise will resolve |
|
| public |
resolve when fn returns a truthy value. |
Static Public
public delay(ms: Number, args: ...): Promise source
import delay from 'nextframe/src/delay.js'
delays the call to nextFrame with setTimeout
Params:
| Name | Type | Attribute | Description |
| ms | Number | delay in ms |
|
| args | ... | optional values that would be the params of the Promises resolve |
public frame(args: ...): Promise source
import frame from 'nextframe/src/frame.js'
create a Promise that resolves in the next Animationframe
Params:
| Name | Type | Attribute | Description |
| args | ... | optional values that would be the params of the Promises resolve |
public loop(cb: Function): Function source
import loop from 'nextframe/src/loop.js'
create an animationframe loop that calls a function (callback) in every frame
Params:
| Name | Type | Attribute | Description |
| cb | Function | gets called in every frame - for rendering mostly |
public nextFrame(args: ...): Promise source
import nextFrame from 'nextframe/src/nextframe.js'
create a Promise that resolves in the next Animationframe
Params:
| Name | Type | Attribute | Description |
| args | ... | optional values that would be the params of the Promises resolve |
public sequence(collection: Array, fn: Function): Promise source
import sequence from 'nextframe/src/sequence.js'
call a function sequencely every next frame on every iterating position of an array
public throttle(cb: Function, frames: Number): Function source
import throttle from 'nextframe/src/throttle.js'
create a throttled animationframe loop that calls a function (callback) in every specified
public until(fn: Function, args: ...): Promise source
import until from 'nextframe/src/until.js'
until fn returns a truthy value do not resolve.
Params:
| Name | Type | Attribute | Description |
| fn | Function | a function that will be called every frame to check for changes |
|
| args | ... | optional values that would be the params of the Promises resolve |
public wait(frame: Number, args: ...): Promise source
import wait from 'nextframe/src/wait.js'
waiting x frames before the Promise will resolve
Params:
| Name | Type | Attribute | Description |
| frame | Number | the number of frames the Promise waits before resolving |
|
| args | ... | optional values that would be the params of the Promises resolve |
public when(fn: Function, args: ...): Promise source
import when from 'nextframe/src/when.js'
resolve when fn returns a truthy value.
Params:
| Name | Type | Attribute | Description |
| fn | Function | a function that will be called every frame to check for changes |
|
| args | ... | optional values that would be the params of the Promises resolve |


--- layout: wpcf7_contact_form status: publish published: true title: Upload Resume author: display_name: admin login: admin email<EMAIL_ADDRESS>url: '' author_login: admin author_email<EMAIL_ADDRESS>wordpress_id: 5 wordpress_url: http://rday.simpleit.us/?wpcf7_contact_form=contact-form-1 date: '2012-06-02 22:05:31 +0000' date_gmt: '2012-06-02 14:05:31 +0000' categories: [] tags: [] comments: [] ---
Cool, so you decided to find out a little bit more about jobs market and opportunities in Vietnam. Now fill out the form below then you'll be good to go.

This is a non-profit event. However, we collect a non-refundable fee of $10 SGD per entry. The money collected will solely be used to cover various costs incurred. Lunch will be provided.

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Expected Salary (USD)
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Interested in Companies. Use Ctrl + Click to select multiple
[select menu-companies multiple "IDG Vietnam" "McKinsey & Company" "FPT" "SAPLASTIC" "Song Da Thang Long" "Cốc Cốc" "Friesland Campina" "Holcim" "Pyramid Consulting" "DongA Bank" "ELCA" "Vinatex" "Sembcorp" "Tamtay" "Naiscorp" "NCT" "Citibank"]

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Positions applying for (optional). Use Ctrl + Click to select multiple
[select menu-positions multiple "Accountant" "Analyst" "Animation Artist" "Consultant" "Developer" "Graphic Designer" "Human Resources" "Marketing" "Network Admin" "Personal Assistant" "Project Manager" "Public Relations" "Sales" "Trainer" "Other"]

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Fee will be collected on the spot at the event booth.
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[VN2020] [Gathering Talents - Connecting Business Team] Registration from [your-name] <[your-email]>
Gathering Talents - Connecting Business Team
Position(s) applied for:
[menu-positions]
University Attended and Major: [your-uni]
Occupation: [your-occupation]
Industry: [your-industry]
Years of Experience: [your-experience]
Expected Salary (USD): [menu-expected-salary]
Companies Applying for: [menu-companies]
What do you expect to get from this event? ==> [event-expect]
How did you hear about this event? ==> [event-how]
--
This mail is sent via contact form on VN2020 | Gathering Talents - Connecting Business http://gatheringtalents.com/
Nguyen Minh Hien
[file-resume]
1
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[VN2020] [Gathering Talents - Connecting Business Team] We have received your registration
Gathering Talents - Connecting Business Team
Thank you very much for registering for our event.kIf you attached a resume, it will be sent to relevant participating companies. Please keep an eye for more job postings on the page http://gatheringtalents.com/job-listing/ .
Also please note that we collect a non-refundable fee of $10 SGD per entry. If you have not paid, you may pay on the spot at the event booth or send iBaking to the following accounts:
Asia Biz Gateway Pte Ltd
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Once iBanking payment is made, please drop an email with transaction number to Hallie Hoang at<EMAIL_ADDRESS>Thank you.
"Gathering Talents, Connecting Business" is a non-profit event. Money collected will solely be used to cover various costs incurred.
Thank you and best regards,
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Automatic scheduling for all team members while preserving privacy. No more emails back and forth, no more pulling up two screens to check your availabilities. Choose yourself whether or not to share your availabilities.
Allow all participants to contribute to planning the meeting. No one should sit idly in the meeting. All voices should be heard. Open up the agenda for everyone to contribute.
Use cutting edge technology to automatically summarize your meetings. Extract action points from the meeting and send to all participants. Make sure each meeting is a push towards the goal of the team.
Instantly boost the productivity of the team. Improve your meeting experience.
We are MIMS from University of California, Berkeley, School of Information, passionate about solving user's needs.
User experience research, Tangible User Interface Design, Product management
Research, Business use case Analysis, Product Management
Software Development, Web Development, Product Architect
Data Processing and Analysis, Software Engineering, and UX Design


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def | Scorer_Name |
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def | __init__ |
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def | scorer |
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def | set_scorer |
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def | clear_scorer |
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def | has_scorer |
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def | limit |
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def | set_limit |
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def | clear_limit |
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def | has_limit |
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def | match_scorer_parameters |
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def | set_match_scorer_parameters |
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def | clear_match_scorer_parameters |
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def | has_match_scorer_parameters |
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def | MergeFrom |
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def | Equals |
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def | IsInitialized |
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def | ByteSize |
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def | ByteSizePartial |
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def | Clear |
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def | OutputUnchecked |
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def | OutputPartial |
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def | TryMerge |
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def | __str__ |
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int | RESCORING_MATCH_SCORER = 0 |
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int | MATCH_SCORER = 2 |
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tuple | Scorer_Name = classmethod(Scorer_Name) |
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int | has_scorer_ = 0 |
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int | scorer_ = 2 |
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int | has_limit_ = 0 |
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int | limit_ = 1000 |
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int | has_match_scorer_parameters_ = 0 |
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string | match_scorer_parameters_ = "" |
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int | kscorer = 1 |
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int | klimit = 2 |
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int | kmatch_scorer_parameters = 9 |
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The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/api/search/search_service_pb.py


Distributional semantic theory
In distributional semantics, words are usually represented as vectors in a multi-dimensional space of their contexts. Semantic similarity between two words is then calculated as a cosine similarity between their corresponding vectors; it takes values between -1 and 1 (usually only values above 0 are used in practical tasks). 0 value roughly means the words lack similar contexts, and thus their meanings are unrelated to each other. 1 value means that the words' contexts are absolutely identical, and thus their meaning is very similar.
Distributional semantics is under the hood of almost all contemporary natural language understanding systems. As a rule, the so called predictive models are employed, which learn hiqh-quality dense vectors representing word meaning (embeddings). These models are often trained using shallow artifical neural networks based on the task of predicting the next word in a sequence: language modeling. One of the first and arguably the most well-known tool in this field now is word2vec, but new models and algorithms are published regularly.
References
- RusVectōrēs: distributional semantics, word embeddings, language modeling
- WebVectors: distributional semantics, word embeddings, language modeling (in Norwegian)
- spaCy (advanced Natural Language Processing in Python and Cython)
- Gensim (topic modelling, document indexing and similarity retrieval with large corpora)


After a string of defeats in New York George Washington made a tactical retreat through New Jersey and across the Deleware River into Pennsylvania. Facing vast desertion, shortages in supplies and expiring enlistments a need for victory was never greater. Leading his men across the Deleware River on December 26, 1776 during a harsh winter storm his troops were able to take position to attack Trenton just after 8:00am. Caught completley by suprise the Hessian Garrision put up a very breif fight before surrendering to Washington and his men.
“First Battle of Trenton,” George Washington’s Mount Vernon: Revolutionary War Battles, accessed May 4, 2021, https://www.mountvernon.org/george-washington/the-revolutionary-war/washingtons-revolutionary-war-battles/#callout-4.


|
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Software Engineer Intern – Twitter
- Led the development of a custom, interactive Twitter application (Node.js, PostgreSQL) to analyze
users and their networks to enhance engagement on the platform
- Implemented a modular sorting algorithm for unique data structures, decreasing sorting time by 30%
- Built interface (React.js) to display analysis of trending content, with over 85% user satisfaction
- Leveraged the Twitter API v2 and Twitter Ads API to create a novel user experience on Twitter
|
JUN 2021 SEP 2021
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Software Developer Intern – Ericsson
- Supervised and updated the backend support for new telecommunications technology (C#, .NET, SQL
Server) by integrating data structures for new hardware
- Developed unique search algorithm to decrease user Analytics Portal data validation runtime by 50%
- Designed validation tool to ensure data integrity in exported CSV files, increasing consistency by 22%
- Created unit test suite for automatic report generation component of web app using Jest and Enzyme
|
MAY 2020 JUN 2021
|
|
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Teaching Assistant – Carleton University
- Course: Introduction to Computer Science II (Objected-Oriented Programming)
- Taught OOP principles, such as encapsulation, polymorphism, and inheritance
- Graded exams and conducted tutorials and office hours
|
JAN 2020 APR 2020
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Real Property Portfolio Analyst Student – Department of National Defence
- Critically reviewed project and business documentation for the construction of new defence infrastructure
- Digitized and centralized archive of physical documents using Microsoft Sharepoint and GCDocs
- Addressed client specifications and concerns in bi-weekly meetings regarding policy and project budgeting
|
SEP 2018 DEC 2018
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Research Assistant – Statistics Canada
- Conducted diagnostic and UI testing on a new web-portal for the purchase and usage of biological specimens by Canadian and international researchers
- Assisted in the addition of new tests to the laboratory assessments in future cycles by producing research reports on oral and gut microbiomes
|
MAY 2018 AUG 2018
|


Acknowledgements
The City Witness project has been made possible by the generous help and support of many indivduals and organisations. We would like to give particular thanks to:
- The City and County of Swansea
- The Glamorgan-Gwent Archaeological Trust
- Swansea Museum
- West Glamorgan Archives
- Translation Unit, Swansea Council
- Gordon Allison, Swansea Council, for co-ordinating the pavement markers production and installation
- Lorenzo Caravaggi, for the wonderful interpretative renders of medieval Swansea based on our research
- Peter Dalling, for allowing us to use his beautiful photo of Swansea Castle
- Sabastian Dyer, Swansea Council, for support with publicity and communications
- Gerald Gabb
- Paul Giuffrida, Swansea Museum
- Claire Holmes, Heritage Science student, Queen's University, Belfast, for her work with Keith Lilley on Viking Swansea
- Gareth Hughes, Swansea Council
- Heledd Hughes, Translation Unit, Swansea Council
- Make Sense Design, Brighton, for the production of our computer game
- The late Bernard Morris, for his advice and generosity in the early development of this project
- Huw Mowbray, Swansea Council
- University of Southampton students taking the module 'Making Medieval Place' (2014) for user testing and feedback
- Alex Turton, an MA student on the MA in Digital Humanities at the Department of Digital Humanities, King's College London, who researched the medieval townhouses typical of the period and developed the 3D models
- Chris Woolgar, University of Southampton
- Amelie Rigollet, Universite de Poitiers
We would also like to thank our advisory board:
- Daniel Power, Swansea University
- Neil Maylan, GGAT / Cadw
- Andrew Dulley, West Glamorgan Archives
- Richard Porch, Swansea Council
Every effort has been made to contact copyright holders and seek permissions; we would be happy to rectify any omissions.
The City Witness project has been funded by the UK Arts and Humanities Research Council. The pavement marker scheme was co-funded by the City and County of Swansea.


Copyright © 2014 OpenSocial Foundation. This document is available under the W3C Document License. See the W3C Intellectual Rights Notice and Legal Disclaimers for additional information.
OpenSocial 2.5.1 provides a basis for building portable social applications. The OpenSocial Foundation recommends...
This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at http://www.w3.org/TR/.
...Optional custom paragraph here...
By publishing this document, W3C acknowledges that the Submitting Members have made a formal Submission request to W3C for discussion. Publication of this document by W3C indicates no endorsement of its content by W3C, nor that W3C has, is, or will be allocating any resources to the issues addressed by it. This document is not the product of a chartered W3C group, but is published as potential input to the W3C Process. A W3C Team Comment has been published in conjunction with this Member Submission. Publication of acknowledged Member Submissions at the W3C site is one of the benefits of W3C Membership. Please consult the requirements associated with Member Submissions of section 3.3 of the W3C Patent Policy. Please consult the complete list of acknowledged W3C Member Submissions.


Mozilla TamilNadu Community Rust and IOT contribution 2016
December 10, 2016
This blogpost is a consolidated report of all the activities which happened across Mozilla Tamil Nadu in the focus areas of Rust and IOT.
Rust Short Metrics:
- Number of Rust events conducted: 2
- Number of open projects started: 1
- Number of blogs: 5
IOT Short Metrics:
- Number of Rust events conducted: 8
- Number of open projects started: 3
- Number of blogs: 10+
Links to blog posts:
IOT
- IOT Policies & Practices for the near future
- Connecting Rural Women
- AI talk at Mozfest
- SFD Celebrations
- Connected Device in Mozilla
- FoxIOT Meetup Details
- IOT Meetup at SNS
- FoxIOT Meetup Materials
- IOT meetup in KGISL
- Human motion Detection
- Connecting Rural Women Gitbook
- OpenIOT Open Project
- FoxIOT Study Group
Rust
- All you want to know about Rust
- DeepRust Open Project
- Mozilla Science Rust Lessons PR
- Rust Group Coimbatore
- Mozilla TN Rust Participation
At MozillaTN we take this oppurtunity to thank few folks and organizationz, who have really helped us to organize these events,
Pictures
Spotlight Events
-
FoxIOT Meetup series : This was a series of 6 meetups with preplanned agendas to learn about IOT technologies and skills in Mozilla Coimbatore club.
-
Rust Online Webinar : An online webinar for MozillaTN community members where people learned to get started with Rust-lang.
Ending note
Both these contibution areas are fairly new to MozillaTN community and there is a lot of excitement in the community towards learning these technologies.
In the upcoming days ahead, we plan to conduct more events in these areas to learn and build better products/services for the OpenWeb.


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Continuing on my mission to bore the crap out of my readers, I took a look at the html local storage databases I discovered in Part One.
What is HTML Local Storage?
With local storage, web applications can store data locally within the user's browser.
Before HTML5, application data had to be stored in cookies, included in every server request. Local storage is more secure, and large amounts of data can be stored locally, without affecting website performance. Unlike cookies, the storage limit is far larger (at least 5MB) and information is never transferred to the server. Local storage is per origin (per domain and protocol). All pages, from one origin, can store and access the same data.
--http://www.w3schools.com/html/html5_webstorage.asp
If this is a foreign concept to you, try it out:
Pretty simple stuff. If you browsed this from Chrome you should now have a https_jon.glass_0.localstorage in your local storage directory.
On my Windows 7 VM the Chrome Local Storage files are located here: C:\Users\UserName\AppData\Local\Google\Chrome\User Data\Default\Local Storage
Here is a look at a few of mine:
It is worthy to mention there are a few investigative points you can glean from just this directory listing:
The protocol of the site (http/https).
The domain.
The last modified date and time of the local storage file
Let's look at my local storage entry from a few angles.
First lets checkout Chrome's developer tools > Resources > Local Storage:
Here is a shot of what it looks like in the ol' SQLITE Browser:
Here is some Python that will read it too:
I have looked at a bunch of these and the format is mostly developers choice. It is interesting to see how they are leveraged. For example, Wikipedia's local storage is so big, comparatively, because they are storing Base64 encoded images in the SQLite database.
Kinda makes you wonder about what is hiding in YOUR local storage.
Well that is all for now...


mocapBoston is a motion capture installation in Boston, MA at Emerson College developed by Daniel Flanagan.
The installation allows participants to create an animation of their performance by wearing computer-vision enabled stickers which are processed
in near-realtime by an algorithm developed for this project which has since been made avaialable open-source.


Simple Website
An extremely simple example website for the extremely simple static-site generator
Twitter
GitHub
Facebook


--- title: models keywords: fastai sidebar: home_sidebar summary: "The end models for regression and classification." description: "The end models for regression and classification." nb_path: "02_models.ipynb" ---
These are the models for specific tasks, like regression, multi-class classification and multi-label classification. In all these models we can choose to use single path MolMap architecture, which includes only one of descriptor map or fingerprint map, or double path MolMap, which combines the two.
These models are thin wrappers of MolMap nets, with different outcome activation functions.
Single path, descriptor
descriptor = MolMapRegression()
i = torch.rand((10, 13, 37, 37))
o = descriptor(i)
o.shape
Single path, fingerprint
fingerprint = MolMapRegression(conv_in1=3)
i = torch.rand((10, 3, 37, 36))
o = fingerprint(i)
o.shape
If the network is double path then we pass in a tuple of inputs
double_path = MolMapRegression(conv_in1=13, conv_in2=3)
i1 = torch.rand((10, 13, 37, 37))
i2 = torch.rand((10, 3, 37, 36))
o = double_path((i1, i2))
o.shape
For multi-class classification we use the softmax activation function. Softmax transforms a vector so that each value in the vector falls between 0 and 1 and the vector sums to one. It's the logistic transformation generalised to vectors. In practice we use logsoftmax because it's computationally more stable.
Single path, descriptor
descriptor = MolMapMultiClassClassification()
i = torch.rand((10, 13, 37, 37))
o = descriptor(i)
o.shape
o.exp().sum(dim=1)
Single path, fingerprint
fingerprint = MolMapMultiClassClassification(conv_in1=3)
i = torch.rand((10, 3, 37, 36))
o = fingerprint(i)
o.shape
o.exp().sum(dim=1)
If the network is double path then we pass in a tuple of inputs
double_path = MolMapMultiClassClassification(conv_in1=13, conv_in2=3)
i1 = torch.rand((10, 13, 37, 37))
i2 = torch.rand((10, 3, 37, 36))
o = double_path((i1, i2))
o.shape
o.exp().sum(dim=1)
For multi-label classification, each input can have multiple labels, and the belonging to one label is independent of belonging to the others, so we'll use the Sigmoid activation function.
Compared to the multi-class problem, we only have to switch the soft max activation to sigmoid.
Single path, descriptor
descriptor = MolMapMultiLabelClassification()
i = torch.rand((10, 13, 37, 37))
o = descriptor(i)
o.shape
o
Single path, fingerprint
fingerprint = MolMapMultiLabelClassification(conv_in1=3)
i = torch.rand((10, 3, 37, 36))
o = fingerprint(i)
o.shape
o
If the network is double path then we pass in a tuple of inputs
double_path = MolMapMultiLabelClassification(conv_in1=13, conv_in2=3)
i1 = torch.rand((10, 13, 37, 37))
i2 = torch.rand((10, 3, 37, 36))
o = double_path((i1, i2))
o.shape
o
Switch the order of descriptor and fingerprint map
double_path = MolMapMultiLabelClassification(conv_in1=3, conv_in2=13)
i1 = torch.rand((10, 13, 37, 37))
i2 = torch.rand((10, 3, 37, 36))
o = double_path((i2, i1))
o.shape
o


Reading this tutorial has probably reinforced your interest in using Python — you should be eager to apply Python to solving your real-world problems. Where should you go to learn more?
This tutorial is part of Python’s documentation set. Some other documents in the set are:
You should browse through this manual, which gives complete (though terse) reference material about types, functions, and the modules in the standard library. The standard Python distribution includes a lot of additional code. There are modules to read Unix mailboxes, retrieve documents via HTTP, generate random numbers, parse command-line options, write CGI programs, compress data, and many other tasks. Skimming through the Library Reference will give you an idea of what’s available.
Installing Python Modules explains how to install additional modules written by other Python users.
The Python Language Reference: A detailed explanation of Python’s syntax and semantics. It’s heavy reading, but is useful as a complete guide to the language itself.
More Python resources:
https://www.python.org: The major Python Web site. It contains code, documentation, and pointers to Python-related pages around the Web. This Web site is mirrored in various places around the world, such as Europe, Japan, and Australia; a mirror may be faster than the main site, depending on your geographical location.
https://docs.python.org: Fast access to Python’s documentation.
https://pypi.org: The Python Package Index, previously also nicknamed the Cheese Shop 1, is an index of user-created Python modules that are available for download. Once you begin releasing code, you can register it here so that others can find it.
https://code.activestate.com/recipes/langs/python/: The Python Cookbook is a sizable collection of code examples, larger modules, and useful scripts. Particularly notable contributions are collected in a book also titled Python Cookbook (O’Reilly & Associates, ISBN 0-596-00797-3.)
http://www.pyvideo.org collects links to Python-related videos from conferences and user-group meetings.
https://scipy.org: The Scientific Python project includes modules for fast array computations and manipulations plus a host of packages for such things as linear algebra, Fourier transforms, non-linear solvers, random number distributions, statistical analysis and the like.
For Python-related questions and problem reports, you can post to the newsgroup comp.lang.python, or send them to the mailing list at<EMAIL_ADDRESS>The newsgroup and mailing list are gatewayed, so messages posted to one will automatically be forwarded to the other. There are hundreds of postings a day, asking (and answering) questions, suggesting new features, and announcing new modules. Mailing list archives are available at https://mail.python.org/pipermail/.
Before posting, be sure to check the list of Frequently Asked Questions (also called the FAQ). The FAQ answers many of the questions that come up again and again, and may already contain the solution for your problem.
Footnotes
1
“Cheese Shop” is a Monty Python’s sketch: a customer enters a cheese shop,
but whatever cheese he asks for, the clerk says it’s missing.
12. Virtual Environments and Packages
14. Interactive Input Editing and History Substitution


Note: Spartacus 1.x is no longer maintained. Please upgrade to the latest version.
What is Spartacus?
If you are working with an older version of the Spartacus libraries, you can find the full suite of corresponding documentation in our Documentation Archive.
Spartacus is a lean, Angular-based JavaScript storefront for SAP Commerce Cloud. Spartacus talks to SAP Commerce Cloud exclusively through the Commerce REST API.
Spartacus is also an open source project. You can view the Spartacus source code in this GitHub repository.
See the following introductory videos for a quick overview of Spartacus:
If you have technical questions, you can get in touch with us on Stack Overflow. For non-technical questions, you can reach us on our Slack workspace. Feedback welcome!
Extensible
Spartacus is designed to be upgradable while maintaining full extendability. You'll be able to adopt new versions of Spartacus by updating the Spartacus libraries that we will regularly enhance.
Version 1.0.0 was released July 4, 2019, a month after SAP Commerce Cloud 1905.
 We aim to add support for all major features of a PWA-enabled storefront, to offer the best possible customer experience regardless of device or location.
Open Source
Spartacus is open source. It will be continually developed by the SAP Commerce Cloud team, but we are very keen to welcome contributors and to foster an inclusive, active development community for Spartacus.
See Contributing to the Spartacus Storefront for more information.
Technology
The Spartacus storefront is part of our exciting new journey towards a customizable-yet-upgradable technology for SAP Commerce Cloud installations.
See SAP Customer Experience for more information about SAP Commerce Cloud.
Storefront features
Spartacus provides core storefront features such as:
- home page
- search
- categories
- product details
- cart page
- adding to cart
- checkout
- order history
Requirements
Your Angular development environment should include the following:
- Angular CLI: 9.1 or later, < 10.0.
- node.js: 10.14.1 or later, < 13.0. The most recent 12.x version is recommended.
- yarn: 1.15 or later.
For the back end, SAP Commerce Cloud version 1905 or higher is required.
Download and Installation
To get up and running with Spartacus, the recommended approach is to build your storefront application from ready-made libraries. You can also clone and build from source, but upgrading is not as simple.
Spartacus currently can only be used with a SAP Commerce Cloud instance through Commerce Cloud APIs.
For complete setup instructions, see the Building the Spartacus Storefront from Libraries guide.
Customizing and Extending Spartacus
To maintain our promise of upgradability, the design pattern for Spartacus is for non-core features to be built as feature libraries that add to or change the provided functionality.
When using Spartacus, you build an app that pulls in the Spartacus libraries, which contain the core resources needed to work with SAP Commerce Cloud. You then build new features that contain any custom functionality and pages.
Content for Spartacus pages is fetched from the SAP Commerce Cloud CMS (Content Management System), such as logos, links, banners and static pages. We recommend that new content-driven features follow the same pattern to enable Content Managers to modify page content through the CMS tools.
The documentation for customizing and extending Spartacus is still under development and is being released as it becomes available.
Limitations
With the release of 1.0.0, it is recommended to use SAP Commerce Cloud 1905. Spartacus works with Release 1808 and 1811 of SAP Commerce Cloud, with some limitations.
Spartacus is also being updated so that it works well with upcoming releases of SAP Commerce Cloud. This means that certain features of Spartacus may only work with unreleased future editions of SAP Commerce Cloud. This will be noted as we release new versions of Spartacus.
Known Issues
Known issues are documented in the GitHub issue tracking system.
How to Obtain Support
You can get support for Spartacus in the following ways:
- Get answers from our developers and the Spartacus community by asking a question on Stack Overflow.
- Problem or bug? If you have a SAP Commerce Cloud license, create a customer support ticket.
- For non-technical questions, you can reach us on our Slack workspace.
Contributing
Team Spartacus welcomes feedback, ideas, requests, and especially code contributions.
- Post comments to our feedback channel in our Slack workspace.
- Read Contributing to the Spartacus Storefront to learn how to:
- Help others
- Report an issue
- Contribute code to Spartacus
Public Instance of Spartacus
To view our public instance, see Spartacus
We are running this on our SAP Commerce Cloud (CCv2). We may have our latest version on the link above, however, we hope in the future to always update our deployments frequently.
To Do
Many improvements are coming! All tasks will be posted to our GitHub issue tracking system. As mentioned, some of the improvements will mean breaking changes. While we strive to avoid doing so, we cannot guarantee this will not happen before the first release.
License
Copyright (c) 2019 SAP SE or an SAP affiliate company. All rights reserved. This file is licensed under the Apache Software License, v. 2 except as noted otherwise in the LICENSE file.


LOCALE
Section: Linux User Manual (5)Updated: 2008-06-17
Index Return to Main Contents
NAME
locale - Describes a locale definition fileDESCRIPTION
The locale definition files contains all the information that the localedef(1) command needs to convert it into the binary locale database.The definition files consist of sections which each describe a locale category in detail.
Syntax
The locale definition file starts with a header that may consist of the following keywords:- <escape_char>
- is followed by a character that should be used as the escape-character for the rest of the file to mark characters that should be interpreted in a special way. It defaults to the backslash (\).
- <comment_char>
- is followed by a character that will be used as the comment-character for the rest of the file. It defaults to the number sign (#).
The locale definition has one part for each locale category. Each part can be copied from another existing locale or can be defined from scratch. If the category should be copied, the only valid keyword in the definition is copy followed by the name of the locale which should be copied.
LC_CTYPE
The definition for the LC_CTYPE category starts with the string LC_CTYPE in the first column.There are the following keywords allowed:
- upper
- followed by a list of uppercase letters. The letters A through Z are included automatically. Characters also specified as cntrl, digit, punct, or space are not allowed.
- lower
- followed by a list of lowercase letters. The letters a through z are included automatically. Characters also specified as cntrl, digit, punct, or space are not allowed.
- alpha
- followed by a list of letters. All character specified as either upper or lower are automatically included. Characters also specified as cntrl, digit, punct, or space are not allowed.
- digit
- followed by the characters classified as numeric digits. Only the digits 0 through 9 are allowed. They are included by default in this class.
- space
- followed by a list of characters defined as white-space characters. Characters also specified as upper, lower, alpha, digit, graph, or xdigit are not allowed. The characters <space>, <form-feed>, <newline>, <carriage-return>, <tab>, and <vertical-tab> are automatically included.
- cntrl
- followed by a list of control characters. Characters also specified as upper, lower, alpha, digit, punct, graph, print, or xdigit are not allowed.
- punct
- followed by a list of punctuation characters. Characters also specified as upper, lower, alpha, digit, cntrl, xdigit, or the <space> character are not allowed.
- graph
- followed by a list of printable characters, not including the <space> character. The characters defined as upper, lower, alpha, digit, xdigit, and punct are automatically included. Characters also specified as cntrl are not allowed.
- followed by a list of printable characters, including the <space> character. The characters defined as upper, lower, alpha, digit, xdigit, punct, and the <space> character are automatically included. Characters also specified as cntrl are not allowed.
- xdigit
- followed by a list of characters classified as hexadecimal digits. The decimal digits must be included followed by one or more set of six characters in ascending order. The following characters are included by default: 0 through 9, a through f, A through F.
- blank
- followed by a list of characters classified as blank. The characters <space> and <tab> are automatically included.
- toupper
- followed by a list of mappings from lowercase to uppercase letters. Each mapping is a pair of a lowercase and an uppercase letter separated with a , and enclosed in parentheses. The members of the list are separated with semicolons.
- tolower
- followed by a list of mappings from uppercase to lowercase letters. If the keyword tolower is not present, the reverse of the toupper list is used.
The LC_CTYPE definition ends with the string END LC_CYTPE.
LC_COLLATE
The LC_COLLATE category defines the rules for collating characters. Due to limitations of libc not all POSIX-options are implemented.The definition starts with the string LC_COLLATE in the first column.
There are the following keywords allowed:
- collating-element
- collating-symbol
The order-definition starts with a line:
- order_start
followed by a list of keywords out of forward, backward, or position. The order definition consists of lines that describe the order and is terminated with the keyword
- order_end.
For more details see the sources in /usr/lib/nls/src notably the examples POSIX, Example and Example2
The LC_COLLATE definition ends with the string END LC_COLLATE.
LC_MONETARY
The definition starts with the string LC_MONETARY in the first column.There are the following keywords allowed:
- int_curr_symbol
- followed by the international currency symbol. This must be a 4-character string containing the international currency symbol as defined by the ISO 4217 standard (three characters) followed by a separator.
- currency_symbol
- followed by the local currency symbol.
- mon_decimal_point
- followed by the string that will be used as the decimal delimiter when formatting monetary quantities.
- mon_thousands_sep
- followed by the string that will be used as a group separator when formatting monetary quantities.
- mon_grouping
- followed by a string that describes the formatting of numeric quantities.
- positive_sign
- followed by a string that is used to indicate a positive sign for monetary quantities.
- negative_sign
- followed by a string that is used to indicate a negative sign for monetary quantities.
- int_frac_digits
- followed by the number of fractional digits that should be used when formatting with the int_curr_symbol.
- frac_digits
- followed by the number of fractional digits that should be used when formatting with the currency_symbol.
- p_cs_precedes
- followed by an integer set to 1 if the currency_symbol or int_curr_symbol should precede the formatted monetary quantity or set to 0 if the symbol succeeds the value.
- p_sep_by_space
-
followed by an integer.
-
- 0
- means that no space should be printed between the symbol and the value.
- 1
- means that a space should be printed between the symbol and the value.
- 2
- means that a space should be printed between the symbol and the sign string, if adjacent.
-
- n_cs_precedes
-
-
- 0
- - the symbol succeeds the value.
- 1
- - the symbol precedes the value.
-
- n_sep_by_space
- An integer set to 0 if no space separates the currency_symbol or int_curr_symbol from the value for a negative monetary quantity, set to 1 if a space separates the symbol from the value and set to 2 if a space separates the symbol and the sign string, if adjacent.
- p_sign_posn
-
-
- 0
- Parentheses enclose the quantity and the currency_symbol or int_curr_symbol.
- 1
- The sign string precedes the quantity and the currency_symbol or the int_curr_symbol.
- 2
- The sign string succeeds the quantity and the currency_symbol or the int_curr_symbol.
- 3
- The sign string precedes the currency_symbol or the int_curr_symbol.
- 4
- The sign string succeeds the currency_symbol or the int_curr_symbol.
-
- n_sign_posn
-
-
- 0
- Parentheses enclose the quantity and the currency_symbol or int_curr_symbol.
- 1
- The sign string precedes the quantity and the currency_symbol or the int_curr_symbol.
- 2
- The sign string succeeds the quantity and the currency_symbol or the int_curr_symbol.
- 3
- The sign string precedes the currency_symbol or the int_curr_symbol.
- 4
- The sign string succeeds the currency_symbol or the int_curr_symbol.
-
The LC_MONETARY definition ends with the string END LC_MONETARY.
LC_NUMERIC
The definition starts with the string LC_NUMERIC in the first column.The following keywords are allowed:
- decimal_point
- followed by the string that will be used as the decimal delimiter when formatting numeric quantities.
- thousands_sep
- followed by the string that will be used as a group separator when formatting numeric quantities.
- grouping
- followed by a string that describes the formatting of numeric quantities.
The LC_NUMERIC definition ends with the string END LC_NUMERIC.
LC_TIME
The definition starts with the string LC_TIME in the first column.The following keywords are allowed:
- abday
- followed by a list of abbreviated weekday names. The list starts with the first day of the week as specified by week (Sunday by default).
- day
- followed by a list of weekday names. The list starts with the first day of the week as specified by week (Sunday by default).
- abmon
- followed by a list of abbreviated month names.
- mon
- followed by a list of month names.
- am_pm
- The appropriate representation of the am and pm strings.
- d_t_fmt
- The appropriate date and time format.
- d_fmt
- The appropriate date format.
- t_fmt
- The appropriate time format.
- t_fmt_ampm
- The appropriate time format when using 12h clock format.
- week
- followed by a list of three values: The number of days in a week (by default 7), a date of beginning of the week (by default corresponds to Sunday), and the minimal length of the first week in year (by default 4). Regarding the start of the week, 19971130 shall be used for Sunday and 19971201 shall be used for Monday. Thus, countries using 19971130 should have local Sunday name as the first day in the day list, while countries using 19971201 should have Monday translation as the first item in the day list.
- first_weekday (since glibc 2.2)
- Number of the first day from the day list to be shown in calendar applications. The default value of 1 corresponds to either Sunday or Monday depending on the value of the second week list item.
- first_workday (since glibc 2.2)
- Number of the first working day from the day list.
The LC_TIME definition ends with the string END LC_TIME.
LC_MESSAGES
The definition starts with the string LC_MESSAGES in the first column.The following keywords are allowed:
- yesexpr
- followed by a regular expression that describes possible yes-responses.
- noexpr
- followed by a regular expression that describes possible no-responses.
The LC_MESSAGES definition ends with the string END LC_MESSAGES.
See the POSIX.2 standard for details.
FILES
/usr/lib/locale/ --- database for the current locale setting of that category/usr/lib/nls/charmap/* --- charmap-files
CONFORMING TO
POSIX.2, ISO/IEC 14652.BUGS
This manual page isn't complete.SEE ALSO
locale(1), localedef(1), localeconv(3), setlocale(3), charmap(5)COLOPHON
This page is part of release 3.22 of the Linux man-pages project. A description of the project, and information about reporting bugs, can be found at http://www.kernel.org/doc/man-pages/.
Index
This document was created by man2html, using the manual pages.
Time: 05:34:00 GMT, December 24, 2015


{% extends 'page_template.html' %} {% block head %}{{ super() }}{% endblock %} {% block title %}Coordinate Systems for Planets and Satellites{% endblock %} {% block body %}
Below is a list of the IAU-accepted coordinate systems for the planets and satellites.
| Target | Coordinate Systems | Control Networks |
|---|---|---|
| {{target.display_name}} | {% for coordinate in target.targetcoordinates %}{{coordinate.coordinatesystem.name}} {% endfor %} |
{% for controlnet in target.controlnets %}{{controlnet.name}} {% endfor %} |
Note: The IAU has a separate system for small bodies. Coordinates and systems for these targets will be updated when data are available.
{% endblock %}


Other Services
Altoro Mutual offers a host of other Business Services including:
- Business Succession Planning
- Business Wealth Management and Investment
- International Trade Services
- Mergers & Acquisitions
- Print & Mail Services
For more information about these products and services, please contact Altoro Mutual.


You want your bookmarks and breakpoints to be always at hand, so that you can easily navigate through them?
They are visible in the Favorites tool window, which you can dock or float as required:


Linear Regression with PyMC3
This is part 3 of a three part workshop from PyData NYC in 2017. I converted my slides and notes to this essay, so I would have some artifact of the talk. I hope you find the notes useful, and would love to hear from you about them! That said, I likely will not change them, so that they remain a record of what was actually covered that fateful day in November.
Back to main table of contents
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For the last bit of the workshop, we will talk about linear regression with PyMC3. There will be linear algebra, there will be calculus, there will be statistics. Physics is awkwardly in the background, saying hi to Pete the pup. |
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Our goal now is to model how the data is generated. But we know how the data was generated: we added some normally distributed noise to the data. We know that we are doing some serious work now, because these equations are joined by two different operators that are not "=", ">", or "<". The "∼" means that the items on the left and the right are probability distributions, rather than a single value. If we were being careful, distributions only make sense under an integral sign, but this is useful shorthand. The "∝" means "proportional to". This means there is some quantity that I am claiming will not matter to the calculuation, but I encourage you to not trust me and do the bookkeeping of constants yourself. In this case, we are modelling the labels y as being normally distributed around Xw, for some w. The last equation on the slide is the normal distribution's probability density function. Plugging in values for xj, yj, and w will let us evaluate the probability of any single point. |
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Now these are some equations! Before diving in, we should step back and just admire this. Greek letters, underscores, no Python code at all. We will get to some working code soon, so Dr. Sargent does not think we are bullshitters, but for now we should just revel in this for a moment. Bringing this back into focus, the first two lines are from the previous page. They are our modelling assumption, and Bayes' rule. The third line is our assumption that the data is independent, so the probability of all the data is the product of the individual probabilities. Finally, we take the negative log of the whole thing. This is nice from a numerical point of view: the product of a bunch of numbers less than 1 is going to be very small. So we turn that unstable product into a sum of numbers that are greater than 1. Also, the log is a monotone transformation: if we maximize the log of a function, we have also maximized the function. The negative sign lets us find a minimum instead of a maximum, which is a pleasant convention. Now all this holds for any probability distribution. Note that this sum comes from our likelihood, and the term on the right is called our prior. What happens when we plug in the normal distribution for our likelihood? |
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The exponential and logarithm cancel each other out, and we are left with minimizing the sum of squares. That means the maximum a posteriori estimate will be exactly the set of weights that sklearn gives us! This is, of course, assuming that statistics, linear algebra, python, sklearn, and PyMC3 all work correctly. Also look at Pete. He thinks he is a detective! |
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We should use this model, and confirm that all these fields and software libraries are indeed correct. Here is the exact same data set that we used at the start of the workshop. |
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This is our linear model. We put an improper prior on the weights, so that any set of weights is equally likely. We fudge a little and put a prior on the standard deviation to avoid some problems in sampling a model with no noise. Finally, we define our likelihood in the last line. The function returns a PyMC3 model, which can be used as a context manager, so we can write some slick code. |
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Here we go! The sampling step actually is a little tricky because there is no noise: if a positive standard deviation is sampled, it ends up having very low probability. |
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The trace plot looks a little funny, but notice the scale on the standard deviation is 1e-9, and our probability distributions for the weights are really just point masses. This is a funny thing to model with continuous distributions, but PyMC3 does okay with it. |
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Inspecting the sampled weights, we see that every single sample was the exact right weights. |
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We are actually going to wrap the PyMC3 model inside a class with an sklearn interface, like we did earlier with the numpy model. We will just instantiate it with a function that eats a tuple (Editor: Nicole Carlson gave a whole talk on turning PyMC3 into sklearn at the conference, and I recommend you catch the video) |
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We can use this new class to fit the noisy version of our data. This takes a little longer, but we are not just sampling 2,000 copies of the same weights anymore. |
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We can inspect the traceplot and see the weights are a little more dispersed, and the standard deviation is estimated to be somewhat less than 1. |
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The |
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Remember that we also sampled the standard deviation. It is helpful to remember that we are sampling from a joint probability distribution, so each set of weights comes with its own sampled standard deviation. We plot here are 100 sets of weights, along with *their* standard deviations. There is a line at 1 standard deviation, and another at 2 standard deviations. We knew a lot about modelling this data, so the fit looks almost too good. We will look at these plots again in a bad model later. For now observe that only one or two of the 100 points lies outside the second standard deviation line. |
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Exercise 6 is some practice at working with traces from a linear regression trace, and verifying that the right proportion of the data is 1 standard deviation off. Solutions are available here. |
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Now the takeaway from this last bit of the talk is that when we are regularizing, we are just putting a prior on our weights. When this happens in sklearn, the prior is implicit: a penalty expressing an idea of what our best model looks like. When this happens in a Bayesian context like PyMC3, the prior is explicit, expresses our beliefs about the weights, and can be principled. |
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Ridge regression, for example, just means assuming our weights are normally distributed. Here is the pdf for a normal distribution again, this time centered at 0 with standard deviation σw. |
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Recall that for any model, the negative log likelihood will be in this form: a likelihood minus a prior. We haven't change the likelihood, so it is still the sum of squared errors, but now our prior is the sum of the squared weights. Notice that this is proportional to the cost function from ridge regression in sklearn, so the maximum a posteriori estimate for this model is exactly the ridge regression weights. |
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Here is that model implemented in Python. The differences from the first model are that we have changed w from a |
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We can try the ridge model on the overfitting data from earlier along with our handy model class. |
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The trace plot gets hard to read with so many w's – there are fifteen now, remember – but there is nothing glaringly wrong in this plot. |
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Here are 100 of our predictions on the training data. |
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And here are the predictions along with lines for the standard deviation estimates. |
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It looks worse when we plot against the test data instead. |
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But the error estimates actually end up capturing a lot of the uncertainty properly here, particularly around x = 1. |
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Exercise 7 has you essentially derive the rest of the talk yourself. Check out solutions here. |
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Remember putting a prior that looked like e-∑wj2 on the weights gave us ridge regression. It is quick to show that putting a prior that looks like e-∑|wj| gives us Lasso regression as a maximum a posteriori estimate. That particular distribution (once we normalize it) is the Laplace disribution, and it is built into PyMC3. |
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We have seen the rest of this talk already: first, we sample from our model. |
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The traceplot looks fine, but always reasonable to check it out. |
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Now we can check out those spaghetti plots! First we plot against the training data, just for sanity. |
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These first two are good – remember that the fainter, greyer lines are the standard errors, and remember that we should expect our fit to be better on this data, since the model has already seen this training data. |
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Now when we plot against the test data the fit still looks pretty good. |
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I want to conclude with a warning that the Bayesian ridge and Bayesian Lasso we talked about here are not models you should actually use. These were presented to show that you could recover scikit-learn models from a Bayesian model, and that you were secretly making some assumptions when you used these models. In practice, what is to be done? We live in a Bayesian world, and you should model your weights using prior information you have about them. If you wish to model sparsity in your weights, Aki Vehtari and Juho Piironen have a recent paper proposing a better prior for a Bayesian treatment of sparse weights, and does a good job summarizing prior work on the topic. It is a flexible world, and we should celebrate that. Thank you for coming. |


CoffeeScript for Command-line Apps
Updated: 2011-10-27: published the app to github and the npm registry.
This post details my learning experience porting a command-line application I previously wrote in Python to CoffeeScript.
I won’t describe how the SMS application works or how to use it, you can find this in a separate post describing the Python version.
The clisms.coffee source code is on github, the shebang line allows it to be executed directly (provided you have the coffee compiler installed), or you could compile it separately to JavaScript (using the cake build command). The program does the typical things most command-line apps do: process command-line args; read environment variables; read/write files; shell other apps.
Learning and using CoffeeScript
CoffeeScript is surprisingly well documented for such a new language. If you know Python, Ruby and JavaScript you’ll learn it in a couple of hours. Here are resources I found useful:
- CoffeeScript website.
- Watch this video.
- Wikipedia: http://en.wikipedia.org/wiki/CoffeeScript
- A list of CoffeeScript resources.
- CoffeeScript wiki.
- Smooth CoffeeScript is a free CoffeeScript book.
- CoffeeScript Cookbook.
- I also found the CoffeeScript book from the Pragmatic Bookshelf a good read.
Libraries can make or break scripting languages. CoffeeScript uses JavaScript libraries so you’ll need to be familiar with JavaScript. The foremost client-side library is the NodeJS API. I was able to write clisms.coffee using just the NodeJS API. The NodeJS API is reasonably well documented though on occasion you may find it necessary to consult the NodeJS source.
- NodeJS wiki.
- NodeJS API documentation.
- NodeJS library source.
- The npm registry is a great source of other Node compatible JavaScript libraries.
I found the hardest part was not CoffeeScript itself but getting used to the NodeJS asynchronous I/O paradigm – once you’ve twigged it’s not much harder to write or understand it’s just different.
Impressions of CoffeeScript
The port from Python went smoothly, much of the time being spent hunting around for equivalent JavaScript library functions.
I would characterise CoffeeScript as having borrowed the best features of Python and Ruby to synthesise an entirely new language that compiles to JavaScript and retains JavaScript semantics.
I’m quite smitten by CoffeeScript, it’s incredibly expressive and has that ineffable “just right” feel about it, no rough edges, no surprises, everything just works – hats off to Jeremy Ashkenas, CoffeeScript’s creator.
Unlike JavaScript, which I’ve only ever coded out of necessity, writing in CoffeeScript is a pleasurable experience. Would I recommend CoffeeScript as a general purpose scripting language? Absolutely, especially with the recent surge in development of JavaScript libraries.


Honzi
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Bookmarks
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Honzifox's EVE
/Impel CARGO-0
[Impel, CARGO-0] Abyssal Damage Control Medium Abyssal Armor Plates Medium Abyssal Armor Plates Medium Abyssal Armor Plates Imperial Navy Multispectrum Energized Membrane Imperial Navy Multispectrum Energized Membrane Imperial Navy Multispectrum Energized Membrane Medium Abyssal Shield Extender Medium Abyssal Shield Extender Salvager II Festival Launcher Medium Trimark Armor Pump II Medium Trimark Armor Pump II
Used for: running distribution missions.
Base Fitting:
IMPEL-CARGO
Killmarks: 0
Skin: Star Captain
Abyssal modules
are used because this ship isn't really supposed to die.


Flavia de Luce books by Alan Bradley
About the book
Author: Bradley, Alan C., 1938-
Title: The sweetness at the bottom of the pie.
Publication: New York : Bantam, 2009. ISBN<PHONE_NUMBER>766.
DAISY audio format narrated by Annabel Bates. CELA library call number DA38056. 292 pages in the paper edition; 11 hrs., 9 mins. as a recorded book.
About the story
If you have never read the Flavia de Luce (that’s Flavia with an eh) books, you are in for a wildly hilarious treat. Canadian author Alan Bradley has introduced us to one of the great comic characters of literature, I do believe!
The first book, The sweetness at the bottom of the pie, introduces our quirky little hero and her eccentric family, and the house that is, in many ways, a main character in the series. Flavia comes across her first murder, you see, at the ripe old age of eleven.
 She is so clever, so wildly impressed with her cunning, and so devoid of common social skills that you will laugh out loud at the situations into which she gets herself. Flavia is one of the great delights of my reading life.
Once you have met her, you will be utterly unable to resist the other Flavia books. Here is the reading order, but do try to pace yourself!
- The sweetness at the bottom of the pie (2009)
- The weed that strings the hangman’s bag (2010)
- A red herring without mustard (2011)
- I am half-sick of shadows (2011)
- Speaking from among the bones (2013)
- The dead in their vaulted arches (2014)
- As chimney sweepers come to dust (2015)
- Thrice the brindled cat hath mew’d (2016)
- The grave’s a fine and private place (2018), a forthcoming book
Unfortunately, the CELA library only has the first two (DA38056 and DA50079), but your local public library may have them, in commercial CD audiobook format. The downside is that your DAISY CD reader calls it “other audio” and only provides the track number, but you can still bookmark your place. If you need to inter-library loan them, Toronto Public Library has them all.
Your public library may also have them as an eAudiobook (downloadable to a wifi-connected device like a phone, but which has to run specific software, if you can do that. I can’t use them on either of my DAISY players.).
Of course, you can always go to Bookshare, since they have everything!
I have been savouring the books in this series, so I have only just finished As chimney sweepers come to dust, set in Miss Bodycote’s Female Academy (the boarding school her mother, Harriet, attended), right here in Toronto! The narrator for that one, Jayne Entwistle, perfectly captures the delighted glee at her own cleverness that is one of Flavia’s most endearing traits. Flavia is now twelve, and – heart-broken at being banished from her beloved Buckshaw – is travelling in the company of two humourless directors of the Academy.
Sadly, lovers of realistic fiction may not appreciate Flavia’s singular charm, but if you are looking for a bright, dynamic female character of irrepressible hilarity, Flavia is – as they say – yer man!
Recommended?
SO highly recommended! Especially if you are glum.


Foo Fighters - The Colour and the Shape
This is probably my favourite Foo Fighters album. Released in 1997 - a few years after Nirvana and Grunge took over the world - this album is better classified as Hard Rock instead of grunge.
So who would have thunk that the drummer of Nirvana is not only a multi-instrumentalist (Dave Grohl played all of the instruments on the Foo's debut album), but also a great songwriter?
Grohl really has an ear for a pop-rock hook, and it's easy to recognize his songwriting style on a Foo Fighters song, even if you haven't heard it before.
This album is quite angry/heavy at times - might be a result of Grohl's divorce in 1996. The dark and angry songs (some of which feature classic Dave Grohl growls (Dave Growls?) are complemented nicely with softer, ballady tracks.
My favourite songs:
- Everlong
- February Stars (this song always gives me musical frisson - if you don't know what frisson is, go look it up 😀 )
- Monkey Wrench
Fun fact, this album has a lot of 7th chords, evidence of Grohl's Beatlesque rock-pop sensibility.
Listen to it here.


Acronyms
ASI
Appointment slot issues
BCT
Business change team
BIT
Behavioural insights team
CAS
Clinical assessment service
CCG
Clinical commissioning groups
CQUIN
Commissioning for quality and innovation
DOS
Directory of services
EBS
Electronic booking service (choose and book)
EBSX01, EBSX02
EBS extract version XX (a report on EBS)
ERM
Enhanced referral management
IaaS
Infrastructure as a service
IBC
Implementation and business change
MYR
Manage your referral
ODS
Organisation data service
PABs
Patient appointment booking service
PAS
Patient administration system
PWA
Patient web app (old system prior to MYR) Timeline PWA > PABS > MYR
PWI
Patient web interface
RA
Registration authority
RAS
Referral assessment service
SSD
System and service delivery (Division of NHS Digital, based in Exeter)


gratis
Store
Simulator
Support
About
Dashboard
Product Catalogue
Customer Insights
Product Insights
Customise Appearance
Manage Promotions
Account Settings
{{b.name}}
{{item.name}}
{{item.price | currency}}
+
×
{{edit ? ("Edit " + edit_item.name + "...") : "Add new item..."}}
Category
Item
Name
Price
Stock quantity
Image URL
Overview
Raw data
Add customers
Points Distribution:
# Registered Customers
Customer Ages
Product Popularity
Customer list:
Customer ID
Name
Points
{{cust.id}}
{{cust.name}}
{{cust.points}}
Name:
Points:
Overview
Raw data
Add customers
Points Distribution:
Product Popularity
Customer Ages
Product Popularity
Order list:
Customer ID
Paid
Contents
{{order.customer_id}}
{{order.paid}}
{{item.quantity}} × {{item.name}}


Series of partially balanced incomplete block designs (PBIB) based on the combinatory method (S) introduced in (Imane Rezgui et al, 2014) <doi:10.3844/jmssp.2014.45.48>; and it gives their associated U-type design.
| Version: | 1.1-1 |
| Imports: | stats, utils |
| Published: | 2016-11-23 |
| Author: | Mohamed Laib, Imane Rezgui, Zebida Gheribi-Aoulmi and Herve Monod |
| Maintainer: | Mohamed Laib <laib.med at gmail.com> |
| License: | GPL-3 |
| URL: | 'www.sites.google.com/site/mohamedlaibwebpage' |
| NeedsCompilation: | no |
| In views: | ExperimentalDesign |
| CRAN checks: | CombinS results |
| Reference manual: | CombinS.pdf |
| Package source: | CombinS_1.1-1.tar.gz |
| Windows binaries: | r-devel: CombinS_1.1-1.zip, r-release: CombinS_1.1-1.zip, r-oldrel: CombinS_1.1-1.zip |
| OS X binaries: | r-release: CombinS_1.1-1.tgz, r-oldrel: CombinS_1.1-1.tgz |
| Old sources: | CombinS archive |
Please use the canonical form https://CRAN.R-project.org/package=CombinS to link to this page.


Open Pampas [av26], plain, in Mandoria, peasants: 101
Last updated Turn #138
Open Pampas [av26], plain, in Mandoria, peasants: 101
------------------------------------------------------------------------
9: General Kraken [k3k], Imperial Empire, duke, priest of the Church of
9: Halon [157], with 45 nazgul, arrived from the west, accompanied by:
9: Phantom III [d6x], Imperial Empire, priest of the Church of
9: Dol [153], with nine nazgul
9: Veejay [v8j], Imperial Empire, Bishop of the Church of Ham [155],
9: with five angels
9: Goon III [b9v], Imperial Empire, Bishop of the Church of Dol [153],
9: with five angels, 54 hvy. xbowmen, 13 nazgul
9: Lord Rodrigo Bane [c8b], Imperial Empire, priest of the Church of
9: Dol [153], with ten workers, 50 hvy. xbowmen, ten nazgul
9: Licia [i1l], Imperial Empire, Bishop of the Church of Ham [155],
9: with five angels, 50 hvy. xbowmen
9: Odin [y5z], Imperial Empire, with 55 hvy. xbowmen
9: Thorg [j8u], Imperial Empire, with one warmount
9: Jupiter [m8j], Imperial Empire, duke, the High Priest of the Church
9: of Halon [157], with ten angels, 52 hvy. xbowmen
9: Dryeth [q4e], Imperial Empire, priest of the Church of Dol [153],
9: with nine nazgul
9: Firefly [f3f], Imperial Empire, priest of the Church of
9: Halon [157], with 50 hvy. xbowmen
9: Sunwalker [a8x], Imperial Empire, duke, Bishop of the Church of
9: Halon [157], with five angels, 53 nazgul
9: Thomas [o5y], Imperial Empire, priest of the Church of Dol [153],
9: with 52 hvy. xbowmen, five nazgul
9: Alexei Galantor [j7l], Imperial Empire, duke, priest of the Church
9: of Halon [157], with 85 nazgul
9: Sir Peter [u9p], Imperial Empire, with 37 peasants, ten hvy.
9: xbowmen, 13 workers
9: George [p7f], Imperial Empire, duke, priest of the Church of
9: Dol [153], with five nazgul
9: Lucca [h0t], Imperial Empire, priest of the Church of Halon [157],
9: with five peasants, five skirmishers, 50 nazgul
9: Johny [w2d], Imperial Empire, priest of the Church of Halon [157],
9: with 41 nazgul
9: Stefano [t8e], Imperial Empire, Bishop of the Church of
9: Halon [157], with five angels, 50 nazgul
9: Sir Charles [j5r], Imperial Empire, priest of the Church of
9: Halon [157], with 49 nazgul
9: Majikthise [n4g], Imperial Empire, prisoner
9: Melnor [j7c], Mandor Confederacy, prisoner
10: General Kraken [k3k], Imperial Empire, duke, priest of the Church of
10: Halon [157], with 45 nazgul, went south, accompanied by:
10: Phantom III [d6x], Imperial Empire, priest of the Church of
10: Dol [153], with nine nazgul
10: Veejay [v8j], Imperial Empire, Bishop of the Church of Ham [155],
10: with five angels
10: Goon III [b9v], Imperial Empire, Bishop of the Church of Dol [153],
10: with five angels, 54 hvy. xbowmen, 13 nazgul
10: Lord Rodrigo Bane [c8b], Imperial Empire, priest of the Church of
10: Dol [153], with ten workers, 50 hvy. xbowmen, ten nazgul
10: Licia [i1l], Imperial Empire, Bishop of the Church of Ham [155],
10: with five angels, 50 hvy. xbowmen
10: Odin [y5z], Imperial Empire, with 55 hvy. xbowmen
10: Thorg [j8u], Imperial Empire, with one warmount
10: Jupiter [m8j], Imperial Empire, duke, the High Priest of the Church
10: of Halon [157], with ten angels, 52 hvy. xbowmen
10: Dryeth [q4e], Imperial Empire, priest of the Church of Dol [153],
10: with nine nazgul
10: Firefly [f3f], Imperial Empire, priest of the Church of
10: Halon [157], with 50 hvy. xbowmen
10: Sunwalker [a8x], Imperial Empire, duke, Bishop of the Church of
10: Halon [157], with five angels, 53 nazgul
10: Thomas [o5y], Imperial Empire, priest of the Church of Dol [153],
10: with 52 hvy. xbowmen, five nazgul
10: Alexei Galantor [j7l], Imperial Empire, duke, priest of the Church
10: of Halon [157], with 85 nazgul
10: Sir Peter [u9p], Imperial Empire, with 37 peasants, ten hvy.
10: xbowmen, 13 workers
10: George [p7f], Imperial Empire, duke, priest of the Church of
10: Dol [153], with five nazgul
10: Lucca [h0t], Imperial Empire, priest of the Church of Halon [157],
10: with five peasants, five skirmishers, 50 nazgul
10: Johny [w2d], Imperial Empire, priest of the Church of Halon [157],
10: with 41 nazgul
10: Stefano [t8e], Imperial Empire, Bishop of the Church of
10: Halon [157], with five angels, 50 nazgul
10: Sir Charles [j5r], Imperial Empire, priest of the Church of
10: Halon [157], with 49 nazgul
10: Majikthise [n4g], Imperial Empire, prisoner
10: Melnor [j7c], Mandor Confederacy, prisoner
10: Wild men [iy4c], savages, number: 21, arrived from the north.
19: Stack of cyclops [fj7e], cyclops, number: 7, arrived from the south.
21: Stack of cyclops [fj7e], cyclops, number: 7, went north.
29: Pack of wolves [cs3i], wolves, number: 11, arrived from the west.
Routes leaving Open Pampas:
North, mountain, to Mandor Mountains [au26], 10 days
East, mountain, to Mandor Mountains [av27], 10 days
South, desert, to Empty Desert [aw26], 8 days
West, plain, to Open Pampas [av25], 7 days
Seen here:
Stack of cyclops [im2p], cyclops, number: 13
Stack of wights [cb8z], wights, number: 28
Wild men [iy4c], savages, number: 20
Stack of wights [ig2y], wights, number: 26
Pack of wolves [cs3i], wolves, number: 10


|
libpointmatcher
1.2.1
|
Files | |
| file | DataPoints.cpp |
| file | DataPointsFilter.cpp |
| file | ErrorMinimizer.cpp |
| file | Exceptions.cpp |
| file | ICP.cpp |
| file | Inspector.cpp |
| file | IO.cpp |
| file | IO.h [code] |
| file | Logger.cpp |
| file | Matcher.cpp |
| file | Matches.cpp |
| file | OutlierFilter.cpp |
| file | Parametrizable.cpp |
| file | Parametrizable.h [code] |
| file | PointMatcher.h [code] |
| public interface | |
| file | Registrar.h [code] |
| file | Registry.cpp |
| file | Timer.cpp |
| file | Transformation.cpp |
| file | TransformationChecker.cpp |


Modulus Tests - Explicit Defines - Async
These tests test the non-built modulus functionality. (runtime only, no node.js build process)


Modelling firing regularity in the ventral cochlear nucleus: mechanisms, and effects of stimulus level and synaptopathy
Goodman DFM, Winter IM, Léger AC, de Cheveigné A, Lorenzi C
Hearing Research
(2018)
Abstract
The auditory system processes temporal information at multiple scales, and disruptions to this temporal
processing may lead to deficits in auditory tasks such as detecting and discriminating sounds in a noisy
environment. Here, a modelling approach is used to study the temporal regularity of firing by chopper cells in
the ventral cochlear nucleus, in both the normal and impaired auditory system. Chopper cells, which have a
strikingly regular firing response, divide into two classes, sustained and transient, based on the time course of
this regularity. Several hypotheses have been proposed to explain the behaviour of chopper cells, and the
difference between sustained and transient cells in particular. However, there is no conclusive evidence so far.
Here, a reduced mathematical model is developed and used to compare and test a wide range of hypotheses with a
limited number of parameters. Simulation results show a continuum of cell types and behaviours: chopper-like
behaviour arises for a wide range of parameters, suggesting that multiple mechanisms may underlie this behaviour.
The model accounts for systematic trends in regularity as a function of stimulus level that have previously only
been reported anecdotally. Finally, the model is used to predict the effects of a reduction in the number of
auditory nerve fibres (deafferentation due to, for example, cochlear synaptopathy). An interactive
version of this paper in which all the model parameters can be changed is available online.
Links
Related software
A Python simulator for spiking neural networks.
Categories


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|
Home >
Enterprise >
Participants >
VMware Carbon Black > APT3 Configuration
|
VMware Carbon Black Configuration
Product Versions
Cb Response Cloud Backend Version: <IP_ADDRESS>809.1703
Cb Response Sensor Version: <IP_ADDRESS>722
Description
Cb Response (CbR) is a lightweight, passive sensor that acts as a surveillance camera on your endpoints. CbR will capture all parent/child process relationships, file modifications, registry modifications, network connections, module loads, and cross-process behaviors (i.e. Process injection). All of this data is captured and streamed live to your cloud or on-prem instance for searching and alerting. This allows for both real-time and historical threat hunting across your environment. CbR also keeps track of every process and its metadata that has been executed in your environment, as well as keeping a copy of that binary for forensics purposes. These features enable our customers and IR partners the ability to:
- Receive threat report updates deployed by Carbon Black to detect the latest attack techniques focused on behavioral attributes in seconds
- Rapidly deploy custom detections in the form of threat intelligence reports/watchlists focusing on the same behavioral attributes
- Mapping alerts and detection techniques directly to MITRE ATT&CK
- Search for binary prevalence, process masquerading, binary signing issuers, and forensic capture for post analysis.
- Robust and highly extensible API. Some examples of 3rd party API integrations are:
- YARA
- SIEM/Orchestration Tooling
- Binary Detonation and Sandboxing Connectors
- Network security/service appliances (DNS, IDS, IPS, DHCP)
- File integrity monitoring - CbR can alert anytime files, file paths, registry keys, and registry hives are modified
Configuration
- All Threat Intelligence Feeds enabled and configured to alert. Used CbR email notifications to integrate with Slack for immediate coordination of incoming alerts between blue team. (Note: Although we enabled alerting for all our Threat Intelligence feeds, most customers do not do this. Instead, customers will take the queries from these feeds, tune them to their environments and configure watchlists to enable alerting/detection.)
- The following Threat Intelligence Feeds provided all of the alerting and detections during the evaluation:
- MITRE ATT&CK
- Cb Advanced Threats
- Cb Community
- SANS DFIR
Additional Notes from Vendor
To baseline an environment, each of the threat reports/watchlists contains a query (along with contextual information about the technique ID in question) users can click to run a search across their data. The results page will provide a quick, environmental-wide summary of the query results (usernames, process names, sensor group names, hostnames, parent processes, process paths and hashes) in the form of dynamic facets, which can be used to narrow down a search. Depending on the specific technique, this may provide sufficient information to tune a query as a watchlist. Otherwise, users on the results page can navigate to a specific process event to get detailed information (e.g. file and registry modifications, network connections, module loads, process/binary metadata, cross-process, command line, etc), exclude on any field/value they confirm is normal in their environment, and create a watchlist using this information, instead.
Some users may also prefer leaving certain threat reports/watchlists off until there is some other indication of an incident. In this case they may turn on additional watchlists for more data and context during an IR activity, but run in a more data collection-oriented mode in typical operation. This is a highlight of exposing the query in the watchlist. A user can use the queries to search retrospectively throughout the dataset for "previous" hits to the watchlist, as well.


--- layout: page overview: true title: "Python Editor" description: Wanna run Python code online? permalink: /thebe/ form: true ---


Path Of Exile Adds Conquerors Of The Atlas Expansion, Metamorph League
by Leah WilliamsPath of Exile's endgame is getting a new story, in the form of Conquerors of the Atlas, an expansion dropping on December 13, alongside the new 3.9 game update.
Conquerors of the Atlas is set after the fall of the Elder, the malevolent force that ruled the War for the Atlas expansion. The new story will feature new skills and supports, four new item influence types and a range of deadly new bosses.
For players who've already conquered the final bosses of the game, Conquerors of the Atlas looks to spice things up, as the battle for the fate of the Atlas continues.
Also included in the Conquerors of the Atlas expansion is Metamorph League, where players can create their own monsters with the samples taken from monsters they've defeated. Ultimately, this will lead to the creation of the ultimate boss, taken from pieces of the deadliest map bosses. Metamorph League also introduces new Catalyst items, which can strengthen your equipment and help you take down larger monsters.
Both the Conquerors of the Atlas and Metamorph League content add-ons will be available when the Path of Exile 3.9 expansion launches on December 13.
Full disclosure: This writer attended ExileCon as a guest of Grinding Gear Games.


Welcome to the simple clone of ICNDB. Use HTTP GET to retrieve what you want (read on below for more details). Results can returned as raw JSON data
https://localhost/all
This retrieves all jokes in the Database
https://localhost/random
To fetch 1 Random Joke from the Database
https://localhost/random/[num_of_jokes]
To fetch [num_of_jokes] random jokes from the Database
https://localhost/random/[num_of_jokes]?fname=Casey&lname=Caesam
Fetch [num_of_jokes] random jokes from the Database and replaces Chuck And Norris with the name specified in 'fname' and 'lname' query
https://localhost/random/categories
Fetches all categories in the database


BEDAZZLED (director/writer: Harold Ramis; screenwriter: Larry Gelbart, Peter Tolan, based on the motion picture "Bedazzled," screenplay by Peter Cook, story by Cook, Dudley Moore; cinematographer: Bill Pope; editor: Craig P. Herring; cast: Brendan Fraser (Elliot), Elizabeth Hurley (the Devil), Frances O'Connor (Alison/Nicole), Miriam Shor (Carol/Penthouse Hostess), Orlando Jones (Dan/Esteban/ Beach Jock/Sportscaster/African Party Guest), Paul Adelstein (Bob/Roberto/Beach Jock/ Sportscaster/ Lincoln Aide), Aaron Lustig (Synedyne Supervisor), Toby Huss (Jerry/Alejandro/Beach Jock/Sportscaster/Lance), Gabriel Casseus (Elliot's Cellmate); Runtime: 93; 20th Century Fox; 2000)
Reviewed by Dennis Schwartz
The Devil made him do it, and the Devil's a gorgeous she in a revealing red dress. "Bedazzled" is a story about a desperate computer geek who signs away his immortal soul in exchange for seven wishes, which all center around him getting a girl from his workplace he has fallen in love with, but who doesn't even notice him.
Before Hollywood got a hold of this theme, literature did. Writers such as Christopher Marlowe, in his 16th century book on Faust and Goethe, writing about Faust in the 18th century, used this theme. However, "Bedazzled" is a remake of a more vulgar source for the Faust legend, Stanley Donen's 1967 very funny satire, which starred (and was written by) Peter Cook and Dudley Moore. This "Bedazzled" provides some lighthearted fun with the theme, but is not quite as wicked and not as funny. It allows the main character to learn the folly of getting what you wish for, as in the process of seeing all his wishes fizzle out after he gets them, he smartens up and learns to tone down his obnoxious behavior and relax by being himself, therefore becoming a much wiser person. It almost seemed ridiculously out of place to hear him become so virtuous from this experience, a humanitarian who realizes that he can't sell his soul because he never owned it.
The action takes place in modern San Francisco. Brendan Fraser is Elliot Richards, a loser with a nerdy smile, who is a computer tech-support worker whose fellow workers find him intolerable and make a considerable effort to find ways of not being with him. The Devil comes by way of the very sexy and witty Elizabeth Hurley, who tempts him with a chance to get his workplace Alison (Frances O'Connor), if he just signs the contract. Hurley gives this film its purpose and sense of tart humor, but even her role seems punchless and absurd. Though, it is hard to understand why the geek wasn't more tuned into her and used one of the seven wishes granted to bag her instead of the rather ordinary Frances. Frances O'Connor does an adequate job in a role that mainly requires her to be desirable in many different ways. She has a sweet smile and shows she can display a nifty tantrum, but compared to Hurley's beauty and wit, she comes off second best in both categories and would not have been my first wish. Besides, the Devil owns a trendy nightspot and drives the stylishly expensive Lamborghini Diablo, and seems to have her pulse on what's happening in town.
 Fraser draws great comedy from his ever-changing facial expressions as he learns he can speak Spanish, and the best of these is, when he becomes the most sensitive man in the world who loses Alison to a beach jock, as she can't take his sensitivity anymore as he cries at how beautiful the sunset is; while others were too thinly sketched and drew no laughs, such as when he is President Lincoln.
The film uses the same actors who play Fraser's unfriendly co- workers as comic characters in all the wish sketches, which adds a feeling of continuity, but it is played as if this material was more suited for a revue than a film.
What this film lacked was a real sense of outrageousness, it seemed more like a benign TV comedy hour program than a satire that goes for something devilish. It painted too clean a picture of everyone. Every wish seemed reduntant and doomed to failure because Fraser didn't know how to be specific when he made his wishes. I think Harold Ramis could have come up with funnier and less obvious skits, there was a lot to play around with here that wasn't even attempted. The film went mostly for the physical humor of Brendan Fraser, who is no Buster Keaton and can't carry an entire film with his comic antics. The viewer watched him transform himself cleverly in each skit, but the film wasn't funny enough for it to sparkle that way, except in a few instances. I think when you make a remake, it should clearly be better than the other version or else it seems to me, there is no reason to make a remake.
REVIEWED ON 10/26/2000 GRADE: C-
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
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’ ? | ‘ ’ went
SELECTIVE CHEMICAL MODIFICATION OF POLYSACCHARIDES
a »y . : os MANSUR YALPANI
B.Sc., Simon Fraser University, 1975
A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF { - THE REQUIREMENTS FOR THE DEGREE OF . DOCTOR OF PHILOSOPHY \ ‘ 2 in THE FACULTY OF GRADUATE STUDIES
(Department of Chemistry)
We accept this thesis as conforming
to the re andard
, of? . " AK Make | THE UNIVERSITY OF BRITISH COLUMBIA
August 1980
(¢)Mansur Yalpani, 1980
a
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.


{% extends "base.html" %} {% block maincontent %}
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A ship type refers to any vessel that the Pikmin can deliver treasure, berries, etc. to. They may also house Pikmin inside, and leaders may also heal on them.
Examples of ship types include the S.S. Dolphin, Hocotate ship, the Hocotate ship's pod, etc.
To create a new type of ship, please follow the making object types tutorial.
Overview
Ships have a control point and a receptacle. The control point is on the floor, and is what the leader stands on to interact with the ship. It is also the spot Pikmin deliver objects to. The receptacle is the part of the ship that actually receives the object. When an object is delivered, it gets sucked in via a tractor beam from the control point to the receptacle.
Ships can also store Pikmin inside, like Onions, though they are incapable of generating Pikmin seeds.
Ship type objects are hardcoded in the engine to sit there and accept delivered items, to heal leaders if possible, and to allow the player to manage the Pikmin inside if possibe.
Properties
Besides the global object type properties, a ship type has the following properties.
Mandatory
None.
Recommended
can_heal
: Iftrue
, that means that leaders can heal their spacesuits using this ship, like the S.S. Dolphin. Defaults to false.control_point_radius
: Radius of the control point.control_point_offset
: X and Y position of the control point. This uses relative coordinates.receptacle_offset
: X and Y position of the receptacle. This uses relative coordinates.
Optional
leg_body_parts
: Names of the body parts that make up the ship's "legs", separated by semicolon. This makes more sense if you follow the logic of the way an Onion uses this property.pikmin_types
: Names of the types of Pikmin this ship can manage, separated by semicolon. Leave empty if the ship cannot manage Pikmin.pikmin_enter_speed
: When a Pikmin is ordered to enter the ship, it will climb up a "leg" (see above). This indicates the speed, in ratio per second. See the track object category for more information on what this means. Defaults to 0.7.pikmin_exit_speed
: Same aspikmin_enter_speed
, but for popping out of a ship "leg". Defaults to 2.
Animations
A ship type needs to have the following animations:
idling
: Idling; used for everything.
Script
Ship types have hardcoded scripts, so the only thing you can do is enhance them.
Some script variables control special behavior, like the ship's starting Pikmin count. To know which ones exist, you can go to the area editor, select a ship, and read the tooltip of each variable.


Iterating with the ng-repeat Directive with data from controller
Name:
{{cust.name | uppercase}} {{cust.city}}
AngularJS
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---
layout: default
postType: Tutorial
---
{{ page.title }}
{% include nav-breadcrumbs.html %}
{% include components/post-info.html %}
{{ content }}
{% include toc-scroll-to-top.html title=page.title %}
{% include social-share-bar.html postType=layout.postType %}
{% include post-pagination.html postType=layout.postType %}
Share your thoughts on: '{{ page.title }}':
{% include disqus-comments.html %}


Oceans of Road
From Adelaide I'd decided to forego my Greyhound pass, and leap in the car with Iain to get to Melbourne along the Great Ocean Road. I figured that this would be a lot more fun than being stuck ona coach, and it wouldn't cost that much as the petrol was being divided between five of us. As well as Iain and I, also in the car was Steve and Ryan, top, top blokes from Bristol, and Maria, an Italian-Swiss girl. We'd all met in Alice Springs, and the others had got a lift down with Iain to Adelaide.
Most of the first day was spent driving, and we crossed over into Victoria just after dark. Victoria is so much like England, in terms of the coutryside. And also the weather at this time of year, ie crap. We stayed at a great hotel in <>a href="http://www.greatoceanrd.org.au/warrnam.htm">Warrnambool, just at the start of the Ocean Road.
The Great Ocean Road itself is only a few hundred kilometres longs, so we did it in a day, and it was a top day. We started out of Warrnambool at about 10am, and one of the first signposts I saw was for a small side road named "Radford's Road"! Probably the only one in Australia, and I didn't get a photo!! First stop was the Bay of Islands, then onto the Bay of Martyrs, then the Arch. Plenty to see along this coast. Next up was London Bridge, a huge arch formation that used to be complete, but part of it fell away in 1991, creating a new island. It also left a couple stranded on there who were having an illicit affair, but it wasn't so illicit after their helicopter rescue was broadcast on national news!
We then stopped at Port Campbell for lunch, before travelling onto Loch Ard gorge, named after a ship that was wrecked in the 19th century with the loss of all but two lives.
We then travelled onto a beach nearby the gorge, and then onto the higlight, the 12 Apostles. They used to be called "Sow and Piglets", but it was changed last century to something a bit more dignified.
Got to say that they were fantastic. So impressive. Especially when we did a triple-moonie photo opportunity - not your average tourist photo! From there we went on through to beautiful Otway National Park, then Apollo Bay (very much like an Irish town), then through the surfers' mecca that is Torquay.
There we made a visit to Bell's Beach where part of "Point Break" was filmed. It was a great spot. After that, though, we legged it to Melbourne.
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Harry Winks’ old coach explains why he converted him to a central midfielder
by Tom ProcterA former coach of Harry Winks has explained why he made the decision to convert the star into a central midfielder.
Russell Small, now a part-time coach at Hastings United, was the man who told the England international to play through the middle when he was a youngster.
Winks started out as a free-scoring winger, but Small saw potential in him to control games.
Speaking to The Daily Mail, he said: “When he was a little winger he scored lots of goals, but my idea of playing him in the middle was that he would be more involved and use all his skills much more.
“It made my day to hear him say it’s the best advice he’s been given. If it has stuck in his mind for this long, obviously it was a good decision on my part!
“He took it in his stride. It was already there, that natural ability to read the game and be technically good enough to do what we wanted.”
Winks is a popular figure amongst Tottenham fans and, at the age of 23, the talented star is still many years away from his peak.
Technician Winks has been likened to Spanish legend Andres Iniesta before, but that isn’t exactly the comparison Small would make.
“If there was anyone I would compare him to it would be Zinedine Zidane,” he added. “The way he could see a pass, short or long, he could go past a player and he scored goals.”
TBR’s view – Winks has an exciting future
Winks has a really exciting future ahead of him.
His brilliant technical ability is something that will allow him to stand out, and his capability of dictating games is clear.
He will likely never reach the level of the legendary Zidane, but it’s certainly a nice assessment from Small.
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