Query recordId or nameEntry/part containing the following string (case insensitive):
| Title |
View
|
SNAC
|
Publish
|
Delete
|
|---|---|---|---|---|
|
|
|
|
|
|
The initial xEAC configuration file must be set up before proceeding to the next step of creating EAC-CPF records in the XML database. The settings can be further modified in the Settings Editor, once these basic required fields have been entered and saved.


{% extends "base.html" %} {% load custom_tags %} {% block wrapper_class %}nosidebar{% endblock %} {% block content %}
The MySql import tool allows you to feed your MySql database's contents to an IndexTank index without much effort. Download the importer and configure the following settings section:
# The results for this query will be the indexed documents # considering the field names in the query as the field names # for the index. # One of the fields must have the "document_id" alias to # indicate that it is the DOCUMENT IDENTIFIER field. SELECT_QUERY = '<QUERY>' # Database config DATABASE_HOST = '<HOST>' DATABASE_USER = '<USER>' DATABASE_PASSWORD = '<PASS>' DATABASE_SCHEMA = '<DATABASE>' # IndexTank config API_KEY = '<YOUR API KEY>' INDEX_NAME = '<YOUR INDEX CODE>'{% endbox %}


| Package | org.flixel |
| Class | public class FlxState |
| Inheritance | FlxState flash.display.Sprite |
| Property | Defined by | ||
|---|---|---|---|
| bgColor : uint [static]
This static variable indicates the "clear color"
or default background color of the game.
| FlxState | ||
| screen : FlxSprite
[static]
This static variable holds the screen buffer,
so you can draw to it directly if you want.
| FlxState |
| Property | Defined by | ||
|---|---|---|---|
| _layer : FlxLayer
Internal layer used to organize and display objects you add to this state.
| FlxState |
| Method | Defined by | ||
|---|---|---|---|
|
FlxState()
Creates a new
FlxState object,
instantiating screen if necessary. | FlxState | ||
|
Adds a new FlxCore subclass (FlxSprite, FlxBlock, etc) to the game loop.
| FlxState | ||
|
destroy():void
Override this function to handle any deleting or "shutdown" type operations you
might need (such as removing traditional Flash children like Sprite objects).
| FlxState | ||
|
postProcess():void
Override this function to do special pre-processing FX like light bloom.
| FlxState | ||
|
preProcess():void
Override this function to do special pre-processing FX like motion blur.
| FlxState | ||
|
render():void
Automatically goes through and calls render on everything you added to the game loop,
override this loop to manually control the rendering process.
| FlxState | ||
|
update():void
Automatically goes through and calls update on everything you added to the game loop,
override this function to handle custom input and perform collisions/
| FlxState |
| bgColor | property |
public static var bgColor:uint
This static variable indicates the "clear color"
or default background color of the game.
Change it at ANY time using FlxState.bgColor
.
| _layer | property |
protected var _layer:FlxLayer
Internal layer used to organize and display objects you add to this state.
| screen | property |
public static var screen:FlxSprite
This static variable holds the screen buffer, so you can draw to it directly if you want.
| FlxState | () | constructor |
public function FlxState()
Creates a new FlxState
object,
instantiating screen
if necessary.
| add | () | method |
public function add(Core:FlxCore):FlxCore
Adds a new FlxCore subclass (FlxSprite, FlxBlock, etc) to the game loop.
ParametersCore:FlxCore — The object you want to add to the game loop.
|
FlxCore |
| destroy | () | method |
public function destroy():void
Override this function to handle any deleting or "shutdown" type operations you might need (such as removing traditional Flash children like Sprite objects).
| postProcess | () | method |
public function postProcess():void
Override this function to do special pre-processing FX like light bloom.
You can use scaling or blending modes or whatever you want against
FlxState.screen
to achieve all sorts of cool FX.
| preProcess | () | method |
public function preProcess():void
Override this function to do special pre-processing FX like motion blur.
You can use scaling or blending modes or whatever you want against
FlxState.screen
to achieve all sorts of cool FX.
| render | () | method |
public function render():void
Automatically goes through and calls render on everything you added to the game loop, override this loop to manually control the rendering process.
| update | () | method |
public function update():void
Automatically goes through and calls update on everything you added to the game loop, override this function to handle custom input and perform collisions/


Mass shooting in Thai courtroom kills 2 as retired cop opens fire on opposing counsel
by Coconuts BangkokTwo parties in a long-running dispute were set to hear a ruling this morning at the Chanthaburi Provincial Court this morning when one of them, a retired police officer, opened fire, killing two attorneys in the courtroom.
The 67-year-old gunman, identified as former police officer Tanin Jantarahip, was taken into custody while investigators collect evidence and interview witnesses to the shooting, which happened just after 9am. Tanin reportedly used an automatic pistol to shoot the other party to the case, court workers and lawyers.
Update: Thai court shooter dies; police say opposing counsel was also armed
Apart from those killed, attorneys Wijai Sookrom and Bancha Parameesanaporn, three others were shot and injured.
They included Bancha’s wife, Supaporn Parameesanaporn, another lawyer Wichai Udomthanaphat as well as the gunman himself. All three are reportedly in critical condition. It was unclear whether Tanin was shot in the incident or shot himself.
The ruling due this morning related to a land-rights dispute the parties had been fighting about for over a decade, according to multiple local media reports.
Before the incident, both parties had gotten into a verbal argument upon their arrival to the courtroom. That was when Tanin suddenly pulled out a gun and shot his opponents, according to reports.
This is a developing story and may be updated without notice.
Related:
Thai man behind massacre of 5 family members arrested
Police hunt for Thai man who allegedly killed 5 family members, including pregnant wife


--- layout: example categories: example/v1.0.0 version: v1.0.0 title: Static map from GeoJSON with geo-viewport and geojson-extent description: 'Use geo-viewport and geojson-extent to find a static map that shows two markers.' tags: - plugins ---


{% extends 'base.html' %} {% load static from staticfiles %} {% load commonmark %}$ {% block title %} Secret Token Found! | {{ block.super }} {% endblock %} {% block content %}
You found a secret token:
{{ token.description }}
Your visit has been registered! Keep hunting, there might be more tokens out there.
{% endblock %}


- forAddress(SocketAddress) - Static method in class io.grpc.transport.netty.NettyChannelBuilder
-
Creates a new builder with the given server address.
- forAddress(String, int) - Static method in class io.grpc.transport.netty.NettyChannelBuilder
-
Creates a new builder with the given host and port.
- forAddress(SocketAddress) - Static method in class io.grpc.transport.netty.NettyServerBuilder
-
Creates a server builder configured with the given SocketAddress
.
- forPort(int) - Static method in class io.grpc.transport.netty.NettyServerBuilder
-
Creates a server builder that will bind to the given port.
- forRegistryAndPort(HandlerRegistry, int) - Static method in class io.grpc.transport.netty.NettyServerBuilder
-
Creates a server builder that will bind to the given port and use the HandlerRegistry
for call dispatching.


Academics
I am a Graduate student in the Industrial Engineering, NC State pursuing a Master in Industrial Engineering. I have completed three semesters of my Masters and have a cumulative performance index of 3.75 out of 4 Completed Bachelor of Technology Production Engineering from Veermata Jijabai Technological Institute Mumbai India in May 2019 by securing 7.58/10 as cumulative performance index
graduate studies
Courses marked with an asterisk (*) are ongoing courses and will finish by Spring 2021.
Industrial Engineering , NC State
- ISE 501 - Introduction to Operations Research
- OR 504 - Introduction to Mathematical Programming
- ISE 519 - Database Applications in Industrial and Systems Engineering
- ISE 540 - Human Factors in System Design*
- ISE 552 - Design and Control of Production and Service System
- ISE 560 - Stochastic Models in Industrial Engineering
- ISE 589 - Special Topics in Industrial Engineering
- ISE 677 - Industrial Engineering Projects
- ISE 716 - Automated systems Engineering
- ST 516 - Experimental Statistics for Engineers II
Online certifications
- Certified Associate in Project Management (CAPM) | Project Management Institute
- Supply Chain Analytics (SC0x) | Massachusetts Institute of Technology
- Introduction to data science | IBM
- Lean Six Sigma Green Belt(ICGB)| International Association for Six Sigma Certification
- Supply chain Analytics | Massachusetts Institute of Technology
Bachelor of Technology from Veermata Jijabai Technological Institute Mumbai India
Courses marked with an asterisk (*) are elective courses.
Production Engineering
- PE4001S- Economics,Finance Accounting and Costing
- PE4002S- Supply Chain Management
- PE4003S - Operation Research
- PE400T Composite Material and Processin technology
- PE4112 T Business Analytics *
- PE3003S- Machine Design
- PE3005 -Metal Forming Technology
- PE3007 - Industrial Engineering
- PE 3010 - CAD/CAM/CIM
- PE 3012- Mechatronics and Automation
- PE 3011- Tool Engineering
- ME2007- Fluid Mechanics
- PE 2001- Production and Machine Drawing
- PE 2004- Metal Casting and Joining
- ME 2014 Theory of Machines


importance: 5
Modify the code of makeCounter()
so that the counter can also decrease and set the number:
counter()
should return the next number (as before).counter.set(value)
should set the counter to value
.counter.decrease()
should decrease the counter by 1.See the sandbox code for the complete usage example.
P.S. You can use either a closure or the function property to keep the current count. Or write both variants.


THE SCHOOL OF FLESH A film review by Steve Rhodes Copyright 1999 Steve Rhodes RATING (0 TO ****): * 1/2
Dominique, played stoically by Isabelle Huppert from LA SEPARATION, is a middle-aged divorcee with a boy toy in Benoît Jacquot's THE SCHOOL OF FLESH (L' ÉCOLE DE LA CHAIR). She pays her live-in "lover," Quentin (Vincent Martinez), but she isn't getting good value for her money. The two of them, who evidence no chemistry on the screen, go through the motions, but not the emotions, of an affair. They are careful to tell each other "I love you," but they never convince each other, much less the audience.
As a lark one night, Dominique goes into a gay bar. The first time she sees Quentin tending bar, their eyes lock, and she knows she must have him. When it is mentioned that he's a violent type, who earns his rent by selling his body to men and women alike, she's not dissuaded. Later, when told that he has a pile of debts, she doesn't blink an eye. She whips out her checkbook and starts retiring them.
Isabelle Huppert creates her rich businesswoman character as a complete enigma. Emotion, such as it is, emanates from her rock solid expression only when tears sporadically fall, as if someone has accidentally brought an onion onto the set, and she is forced to cry.
Vincent Martinez's acting isn't much better. He plays an uncaring rogue, who isn't interesting enough to detest. "When I'm old, you'll be dead," he mocks her. Since the only reason she pays him to live with her is for the sex, you'd think the sex would be erotic and exciting, but it is incredibly bland.
The script by Jacques Fieschi, based on a novel by Yukio Mishima, has exactly one "surprise," but it is so obviously telegraphed that it is an insult to the viewers' intelligence. Don't be surprised if your audience yells out at the screen.
After the setup, the movie quickly gets as stale as a week-old croissant. "No man will ever give you what you want," Quentin complains to Dominique. Since she reveals so little about herself, Quentin is probably right. Spending the entire movie staring off into space, she certainly doesn't give the audience what it wants with her cold and aloof performance.
THE SCHOOL OF FLESH runs 1:41. The film is in French with English subtitles. It is rated R for sex, nudity, profanity and dope smoking and would be acceptable for older teenagers.
Email<EMAIL_ADDRESS>Web: www.InternetReviews.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


species bird climate change range squares northern changes birds Finland atlas numbers shifts observed richness {border-style Lehikoinen, Virkkala, ranges px;} #ffffff;} Europe occupied southern based habitat survey Climate Finnish breeding mean high long‐distance turnover Global increased period square used Period [−., areas compared data land median predicted (Table Change European Heikkinen, Table annual bioclimatic common population size temperature (see Arctic Biology, boreal model models time Green, Thuiller, Väisänen analyses atlases density did distribution functional including migration periods px; species, status studied study use variation warming {font-family Ecology ONE, S). carried change. climatic communities composition declined different distributions diversity effects font-size grade increase linear migrants present showed trends (e.g., Bird Environment However, Jiguet, Luoto, Science, Thomas, Valkama, Vepsäläinen, account analysis considerably direction double; envelope farmland forest included migratory moved northwards periods. possible preference similar surveyed thoroughly <. (.%) Araújo, Conservation, Finland, Hab Roy, Willis, avian border-color border-width century considerable decrease effort gaining general grid habitats latitudes losing populations second shift significant solid; spatial species‐specific strategy suitable test using variables work {font-style {font-weight < (C) (In (in Biological Breeding Collingham, Finland. Gregory, High Hill, Honkala, John Lehikoinen Leikola, Lindén, Mig Natural Population Saurola, Species Virkkala Väisänen, Wiley according activity affecting analyses, analyses. archipelago area areas, bold cause closely community conservation consistent courier; differ em; factors fixed future gained generalized global groups having impacts important interaction km), large lost migrant migrant, mixed new owls pattern patterns phylogeny prey probably pt;} redpoll research response significantly species’ surveys trees van years


--- title: NetEA Tournament Pack Website ---
The NetEA Tournament Pack contains the unmodified Epic Armageddon game rules and errata that used to be found on Games Workshop's website. It includes the FAQ and all of the NetEA Approved army lists that are listed below.
NetEA Approved army lists are tournament ready and balanced against one another using the Epic tournament game rules. They vary slightly from the those that used to be found on Games Workshop's website due to community feedback.
The following FAQ have been expanded and updated from those that used to be available on Games Workshop's website.


Part of pymine.beautifulsoup.BeautifulSoup View In Hierarchy
| Method | __init__ | Undocumented |
| Method | _subMSChar | Changes a MS smart quote character to an XML or HTML |
| Method | _convertFrom | Undocumented |
| Method | _toUnicode | Given a string and its encoding, decodes the string into Unicode. |
| Method | _detectEncoding | Given a document, tries to detect its XML encoding. |
| Method | find_codec | Undocumented |
| Method | _codec | Undocumented |
| Method | _ebcdic_to_ascii | Undocumented |


After finishing this course, one of your favorite functions in R will be summary()
. This will give you a quick overview of the contents of a variable:
summary(my_var)
Going back to our survey, you would like to know how many "Male"
responses you have in your study, and how many "Female"
responses. The summary()
function gives you the answer to this question.
Ask a summary()
of the survey_vector
and factor_survey_vector
. Interpret the results of both vectors. Are they both equally useful in this case?
# Build factor_survey_vector with clean levels
survey_vector <- c("M", "F", "F", "M", "M")
factor_survey_vector <- factor(survey_vector)
levels(factor_survey_vector) <- c("Female", "Male")
factor_survey_vector
# Generate summary for survey_vector
# Generate summary for factor_survey_vector
# Build factor_survey_vector with clean levels
survey_vector <- c("M", "F", "F", "M", "M")
factor_survey_vector <- factor(survey_vector)
levels(factor_survey_vector) <- c("Female", "Male")
factor_survey_vector
# Generate summary for survey_vector
summary(survey_vector)
# Generate summary for factor_survey_vector
summary(factor_survey_vector)
msg = "Do not change anything about the first few lines that define `survey_vector` and `factor_survey_vector`."
test_object("survey_vector", undefined_msg = msg, incorrect_msg = msg)
test_object("factor_survey_vector", eq_condition = "equal", undefined_msg = msg, incorrect_msg = msg)
msg <- "Have you correctly used `summary()` to generate a summary for `%s`?"
test_output_contains("summary(survey_vector)", incorrect_msg = sprintf(msg, "survey_vector"))
test_output_contains("summary(factor_survey_vector)", incorrect_msg = sprintf(msg, "factor_survey_vector"))
success_msg("Nice! Have a look at the output. The fact that you identified `\"Male\"` and `\"Female\"` as factor levels in `factor_survey_vector` enables R to show the number of elements for each category.")
Call the summary()
function on both survey_vector
and factor_survey_vector
, it's as simple as that!


Click to add a red data point Shift + Click to add green data point R to retrain the model
Number of Trees = 100
Set this higher for smoother and more regularized final prediction. Higher is always better, but slower.
Max Depth = 4
Depth of each tree in the forest. Set this higher when more complicated decision boundaries are needed (but runs exponentially slower and can be more prone to overfitting if there are not enough trees). Usually if you can afford many trees and resources you want to set this higher.
Hypotheses per Node = 10
Number of random hypotheses considered at each node during training. Setting this too high puts you in danger of overfitting your data because nodes in the forest lose variety.


!DOCTYPE html>
The number of edges incident to that vertex called its:
An edge connecting vertices is said to be incident.
The degree of a vertex is the number of graph edges it touches.


@import tags._ @(account: Account, company: Company) @sidemenu(account, 0){
@messages.at("create_company")
@messages.at("drop_image") @messages.at("browser_file")
The size of the image must be less than 2M; JPG, PNG, and BMP formats are supported.
@messages.at("drop_image")
The size of the image must be less than 2M; JPG, PNG, and BMP formats are supported.


How to fix the issue with downloading provisioning profile for your app after upgrading to Xcode 13?
After using macOS BigSur
for almost an year, we decided to upgrade to macOS Monterey
. Once we upgraded to the brand new OS, we also decided to get all the way with the new UI/UX and update our Xcode
to the latest version. So we upgraded from Xcode 12
to Xcode 13
.
macOS Monterey and Xcode 13
Without any doubt macOS Monterey
and Xcode 13
looked great in the new UI. And UX is great as the usable screen area has increased a lot. Eventhough we loved the new UI, it took a little bit of time for us to get used to the new icons in the Xcode 13
and the UX changes.
Issue with downloading provisioning profile while trying to upload an archive in Xcode 13 - Our first issue
We were in rush working with one of our project as we were almost close to the deadline of delivering the app to our client. We were in final rounds of testing and we were making an archive to upload to AppStoreConnect
and Testflight
for regression and beta testing. After creating the archive we tried to upload it to the AppStoreConnect and we got stuck there. The issue is we were not able to get the provisioning profile like we used to. Apple must have changed the Xcode 13’s behaviour about how it manages and downloads the provisioning profile.
Solution?
The cause of the issue is that Apple changed the way Xcode manages provisioning profiles. Instead of locally creating and managing provisioning profiles, Apple moved them to the cloud. And they didn’t just stop there and updated the user roles & access in App Store Connect
and added an additional Access to Cloud Managed Distribution Certificate
permission under Access to Certificates, Identifiers & Profile
in Additional Resources
. You need to be an Admin
in order to enable this for anyone with Developer
role. Follow the steps below to fix this issue.
- Go to
App Store Connect
- Select the “Users and Access” tab
- Select the right person and under Additional Resources, check both
Access to Certificates, Identifiers & Profiles and
Access to Cloud Managed Distribution Certificate
We found this issue as an easy one to fix, Thanks to Michal Šrůtek on Stackoverflow. His solution is easy to follow.


THE LAST WOLF IN ENGLAND
THE extirpation of the wolves, which once existed in every part of these islands, is an oft-told story.
But it is not generally known that the last native wolf lived in the forests of Ludgvan, near Penzance. The last of his race was a gigantic specimen, and terrible was the havoc made by him on the flocks.  This could not be endured, so the peasantry all turned out, and this famous wolf was captured at Rospeith, the name of a farm still existing in Ludgvan.


A set of constants for the styles available for Titanium.UI.ActivityIndicator objects.
| Name | Type | Description |
|---|---|---|
| BLACK | int | A style of indicator which is black smaller than the default style. This style is good against a white content background. |
| DEFAULT | int | The default style of scroll indicator, which is black with a white border. This style is good against any content background. |
| WHITE | int | A style of indicator is white and smaller than the default style. This style is good against a black content background. |


# -*- coding: utf-8 -*-
""" Binomial distributed arm.
Example of creating an arm:
>>> import random; import numpy as np
>>> random.seed(0); np.random.seed(0)
>>> B03_10 = Binomial(0.3, 10)
>>> B03_10
Bin(0.3, 10)
>>> B03_10.mean
3.0
Examples of sampling from an arm:
>>> B03_10.draw()
3
>>> B03_10.draw_nparray(20)
array([4., 3., 3., 3., 3., 3., 5., 6., 3., 4., 3., 3., 5., 1., 1., 0., 4.,
4., 5., 6.])
"""
from __future__ import division, print_function # Python 2 compatibility
__author__ = "Lilian Besson"
__version__ = "0.5"
# from random import random
import numpy as np
from numpy.random import binomial as npbinomial
# Local imports
try:
from .Arm import Arm
from .kullback import klBin
except ImportError:
from Arm import Arm
from kullback import klBin
[docs]class Binomial(Arm):
""" Binomial distributed arm."""
[docs] def __init__(self, probability, draws=1):
"""New arm."""
assert 0 <= probability <= 1, "Error, the parameter probability for Binomial class has to be in [0, 1]." # DEBUG
assert isinstance(draws, int) and 1 <= draws, "Error, the parameter draws for Binomial class has to be an integer >= 1."  The parameter t is ignored in this Arm."""
# return np.asarray(npbinomial(self.draws, self.probability), dtype=float)
return npbinomial(self.draws, self.probability)
[docs] def draw_nparray(self, shape=(1,)):
""" Draw a numpy array of random samples, of a certain shape."""
return np.asarray(npbinomial(self.draws, self.probability, shape), dtype=float)
[docs] def set_mean_param(self, probability, draws=None):
if draws!=None:
self.draws = draws
self.mean = probability * self.draws
self.probability = probability
# --- Printing
# This decorator @property makes this method an attribute, cf. https://docs.python.org/3/library/functions.html#property
@property
def lower_amplitude(self):
"""(lower, amplitude)"""
return 0., self.draws
[docs] def __str__(self):
return "Binomial"
[docs] def __repr__(self):
return "Bin({:.3g}, {})".format(self.probability, self.draws)
# --- Lower bound
[docs] def kl(self, x, y):
""" The kl(x, y) to use for this arm."""
return klBin(x, y, self.draws)
[docs] def oneLR(self, mumax, mu):
""" One term of the Lai & Robbins lower bound for Binomial arms: (mumax - mu) / KL(mu, mumax). """
return (mumax - mu) / klBin(mu, mumax, self.draws)
# Only export and expose the class defined here
__all__ = ["Binomial"]
# --- Debugging
if __name__ == "__main__":
# Code for debugging purposes.
from doctest import testmod
print("\nTesting automatically all the docstring written in each functions of this module :")
testmod(verbose=True)


Propeller.js
Wind energy facts
- Wind mills have been in use since 2000 B.C. and were first developed in China and Persia
- There’s enough on-shore wind in America to power the country 10 times over
- Google has invested $5 billion in a new underwater transmission line to connect offshore wind
farms in the Atlantic Ocean with 1.9 million households on the East Coast.
- JavaScript library to rotate elements by mouse or touch gestures.
- Easy-to-use as jQuery
plugin:
$(nodeOrSelector).propeller(options);
or zero-dependancy library
new Propeller(nodeOrSelector,
options)
- Propeller uses requestAnimationFrame and GPU compositing for better performance. It is
also compatible with touch devices.
More examples
Documentation
Download
GitHub
Drag or swipe propeller


Home
Me
Report
Schools in Sweden
Flags
About
Ahmad Abdulal
A student in Kristianstad Universtiy
Points:
0
Press to start
Press to Exit the game


CopyRight © 2020 Norman Andrians, All Rights Reserved
Minecraft is a trademark of the Mojang company from Sweden. all are not sponsored


Medical CertificateDr.{{myprofile['userinfo'].name}}
{{myprofile['usereducation'].doctoreducation}}
Regd No:{{myprofile['userinfo'].regno}}
{{myclinics['clinicinfo'][0].clinicname}}
{{myclinics['clinicinfo'][0].line1}},
{{myclinics['clinicinfo'][0].nearmark}},
{{myclinics['clinicinfo'][0].location}}, {{myclinics['clinicinfo'][0].city}}-{{myclinics['clinicinfo'][0].pin}},
{{myclinics['clinicinfo'][0].state}}
Ph.{{myclinics['clinicinfo'][0].isd}}-{{myclinics['clinicinfo'][0].phone}}
{{appointment_info.Patientname}} ({{appointment_info.PatientGender}}, {{appointment_info.age}})
{{appointment_info.DateAndTime}}
This is to certify that I , Dr.{{myprofile['userinfo'].name}} have personally examined
Mr./Mrs./Ms. {{appointment_info.Patientname}} ({{appointment_info.PatientGender}}, {{appointment_info.age}}), r/o : {{appointment_info.Patientaddress}}
,whose signature/left thumb impression is verified as under.He SheHe / She is suffering from {{examination_data.text_diagnosis}} and he she he/she is under my treatment.
I do consider that his her his/her absence of days
from i.e,with effect from
to is absolutely necessary for restoration of hisherhis / her good health.
Date : {{appointment_info.DateAndTime}}
|
|


--- layout: page status: publish published: true title: 2000 Demographic Data author: display_name: Jessie Pechmann login: jpechmann email<EMAIL_ADDRESS>url: '' author_login: jpechmann author_email<EMAIL_ADDRESS>wordpress_id: 3161 wordpress_url: http://gis.utah.gov/?page_id=3161 date: '2011-11-04 09:30:55 -0600' date_gmt: '2011-11-04 15:30:55 -0600' categories: [] tags: - sgid - Data - utah - gis - map - mapping - dataset - download - agrc - layer - shapefile - geodatabase - metadata - shp - gdb - kml - lyr - digital - geographic - information - database - state - statewide ---
Data Type: GIS Data layer
Steward(s): AGRC and U.S. Census Bureau
Abstract:
This dataset contains demographic information collected by the Census Bureau in 2000 for the census block, census block group, census tract, and county levels. Demographic population includes population counts, household counts, ethnicity counts, etc. The Census Bureau creates different sized geographic areas to organize this demographic information, the smallest unit of area being a "census block" and the biggest being counties.
Usage: There are no constraints or warranties with regard to the use of this dataset.
Last Update: The U.S. Census Bureau collects demographic information every ten years. This dataset was released in 2001.
Contact: General Utah GIS data inquiries<EMAIL_ADDRESS>Links: U.S. Census Bureau
Summary File 1 (SF 1) and Summary File 2 (SF 2) focus on the information collected on the census short form – namely on age, sex, race, Hispanic/Latino origin, households, families, housing units, and owner/renter status.
Summary File 3 (SF 3) and Summary File 4 (SF 4) focus on social, economic and housing characteristics compiled from a sample of approximately 19 million housing units (about 1 in 6 households) that received the Census 2000 long-form questionnaire.Topics include income, education, occupation, ancestry, disability, foreign birth, commuting, household financial arrangements, year housing structure built and many other population and housing subjects.


--- layout: page title: "Rework" prev: Rework_split_005.html next: Rework_split_007.html book_path: books/jason-fried-david-heinemeier-hansson-rework-_oeb/ --- {% include JB/setup %} {% raw %}


The Ultimate Dance Class Finder
Zumba in Bondi, First Class free
Get stronger and fitter Now
Learn to self Defense in Surry Hills.


When Will I Earn This Much?
Amount earned per week
Amount currently owned
Desired amount
Day of the week money is earned
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
Calculate


Natalie is a Product Design student, a CS minor, and a certified EMT. She enjoys the combination of all the fields in the form of mobile health platforms.


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CIFXAuthorLineSetAnalyzer Class ReferenceInheritance diagram for CIFXAuthorLineSetAnalyzer:
List of all members.
Constructor & Destructor Documentation
| CIFXAuthorLineSetAnalyzer::CIFXAuthorLineSetAnalyzer |
( |
|
) |
[private] |
|
| CIFXAuthorLineSetAnalyzer::~CIFXAuthorLineSetAnalyzer |
( |
|
) |
[private, virtual] |
|
Member Function Documentation
| U32 CIFXAuthorLineSetAnalyzer::AddRef |
( |
|
) |
[virtual] |
|
|
|
This method increments the reference count for an interface on a component.
- Note:
- It should be called for every new copy of a pointer to an interface on a given component.
- Returns:
- It returns a U32 that contains a value from 1 to 2^32 - 1 that defines the new reference count. The return value should only be used for debugging purposes.
Implements IFXUnknown. |
| void CIFXAuthorLineSetAnalyzer::DumpAuthorLineSet |
( |
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) |
[virtual] |
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| IFXRESULT CIFXAuthorLineSetAnalyzer::GenerateConnectivity |
( |
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) |
[private] |
|
| IFXRESULT CIFXAuthorLineSetAnalyzer::GetLines |
( |
U32 |
pointInd, |
|
|
IFXArray< U32 > & |
lines, |
|
|
IFXArray< U32 > & |
endPoints |
|
) |
[virtual] |
|
| IFXRESULT CIFXAuthorLineSetAnalyzer::Initialize |
( |
IFXAuthorLineSet * |
pLineSet |
) |
[virtual] |
|
| BOOL IFXAPI CIFXAuthorLineSetAnalyzer::IsInitialized |
( |
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) |
[inline, virtual] |
|
| IFXRESULT CIFXAuthorLineSetAnalyzer::QueryInterface |
( |
IFXREFIID |
interfaceId, |
|
|
void ** |
ppInterface |
|
) |
[virtual] |
|
|
|
This method provides access to the various interfaces supported by a component.
Upon success, it increments the component's reference count and hands back a pointer to the specified interface.
- Note:
- A number of rules must be adhered to by all implementations of IFXAPI QueryInterface . For a list of such rules, refer to the IFXCOM usage guidelines.
- Returns:
- Upon success, IFX_OK is returned. Otherwise, either IFX_E_INVALID_POINTER or IFX_E_UNSUPPORTED are returned.
Implements IFXUnknown. |
| U32 CIFXAuthorLineSetAnalyzer::Release |
( |
|
) |
[virtual] |
|
|
|
This method decrements the reference count for the calling interface on a component.
- Note:
- If the reference count on a component falls to zero, the component is destroyed.
- Returns:
- It returns a U32 that contains a value from 1 to 2^32 - 1 that defines the new reference count. The return value should only be used for debugging purposes.
Implements IFXUnknown. |
| IFXRESULT CIFXAuthorLineSetAnalyzer::Update |
( |
|
) |
[virtual] |
|
Friends And Related Function Documentation
| IFXRESULT IFXAPI_CALLTYPE CIFXAuthorLineSetAnalyzer_Factory |
( |
IFXREFIID |
interfaceId, |
|
|
void ** |
ppInterface |
|
) |
[friend] |
|
Member Data Documentation
© 1999 - 2006 Intel Corporation. All rights reserved.
* Other names and brands may be claimed as the property of others.
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Generating AssemblyInfo files
In this article the AssemblyInfo task is used in order to set specific version information to .NET assemblies.
If you succeeded with the Getting Started tutorial, then you just have to modify your BuildApp target to the following:
1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: 18: 19: 20: 21: 22: |
open Fake.AssemblyInfoFile Target "BuildApp" (fun _ -> CreateCSharpAssemblyInfo "./src/app/Calculator/Properties/AssemblyInfo.cs" [Attribute.Title "Calculator Command line tool" Attribute.Description "Sample project for FAKE - F# MAKE" Attribute.Guid "A539B42C-CB9F-4a23-8E57-AF4E7CEE5BAA" Attribute.Product "Calculator" Attribute.Version version Attribute.FileVersion version] CreateCSharpAssemblyInfo "./src/app/CalculatorLib/Properties/AssemblyInfo.cs" [Attribute.Title "Calculator library" Attribute.Description "Sample project for FAKE - F# MAKE" Attribute.Guid "EE5621DB-B86B-44eb-987F-9C94BCC98441" Attribute.Product "Calculator" Attribute.Version version Attribute.FileVersion version] MSBuildRelease buildDir "Build" appReferences |> Log "AppBuild-Output: " ) |
As you can see generating an AssemblyInfo.cs file is pretty easy with FAKE. You can read more about the C# and F# AssemblyInfo tasks in the API docs.
Setting the version no.
The version parameter can be declared as a property or fetched from a build server like TeamCity:
1: 2: 3: 4: |
let version = match buildServer with | TeamCity -> buildVersion | _ -> "0.2" |
Storing the githash in the AssemblyInfo
Storing the githash with the assembly can make it easier to identify exactly what code is running. There isn't an attribute that directly fits with doing this, but one way is by storing it as Metadata (warning: this attribute is only available in .NET 4.5 and above)
If your solution is inside a git repository you can get the git hash like this:
1:
|
let commitHash = Information.getCurrentSHA1() |
And set like this:
1:
|
Attribute.Metadata("githash", commitHash) |
One of the easiest ways to retrieve this hash is to load use a reflector program, like ILSpy:
Using the SolutionInfo approach
Some companies split their AssemblyInfo into a SolutionInfo.cs which is shared by all projects and a specific AssemblyInfo per project which contains the product data. All versioning data is generated by the AssemblyInfo task into the SolutionInfo.cs and the AssemblyInfo files are editied manually. This could look like this:
The generated SolutionInfo.cs looks like this:
Full name: assemblyinfo.version
Full name: assemblyinfo.commitHash


{{ partial "header.html" . }}
Strava athletes upload millions of activities every day. Our open API and this rich data set yield diverse opportunities for developers, from creating new hardware to augmenting the Strava experience.
The Strava V3 API is a publicly available interface that allows developers to access Strava data. The interface is stable and used by the Strava mobile apps. However, we occasionally make major changes to improve performance and enhance our features (see the changelog for more details).
Thousands of amazing developers from all over the world power their apps with Strava data. Far more athletes are using those apps to augment their Strava experience. There’s an app for everyone, from those that let you dive deep into the nerdiest of performance data, to an app that helps you make a friend in your neighborhood who runs the same pace as you.
View the App Directory


--- template: example.html title: Custom control example shortdesc: Shows how to create custom controls. docs: > This example creates a "rotate to north" button. tags: "custom, control" ---


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See:
Description
| Interface Summary | |
| AttributeSuppressionStrategy | Strategy to determine whether to show an attribute at all. |
| ElementSuppressionStrategy | Strategy to determine whether to show an element at all. |
| NameMapper | A plugin Strategy pattern for converting Java type names into element names. |
| PluralStemmer | A plugin Strategy pattern which will detect the plural property which maps to a singular property name. |
| Class Summary | |
| ActionMappingStrategy | Pluggable strategy interface used for free mappings. |
| BadCharacterReplacingNMapper | NameMapper implementation that processes a name by replacing or stripping
illegal characters before passing result down the chain. |
| BaseMixedContentEncodingStrategy | Basic implementation for MixedContentEncodingStrategy
supports variations of most common use case. |
| CapitalizeNameMapper | A beanmapper which converts a type to start with an uppercase. |
| ClassNormalizer | Class normalization strategy. |
| CollectiveTypeStrategy | Specifies which types should be regarded as collective |
| CollectiveTypeStrategy.Default | Default collective type strategy |
| ConvertUtilsObjectStringConverter | String <-> object conversion strategy that delegates to ConvertUtils. |
| DecapitalizeNameMapper | A name mapper which converts types to a decapitalized String. |
| DefaultActionMappingStrategy | |
| DefaultIdStoringStrategy | Stores every ID that given to it into an internal HashMap and
returns it on request. |
| DefaultNameMapper | A default implementation of the name mapper. |
| DefaultObjectStringConverter | Default string <-> object conversion strategy. |
| DefaultPluralStemmer | A default implementation of the plural name stemmer which tests for some common english plural/singular patterns and then uses a simple starts-with algorithm |
| HyphenatedNameMapper | A name mapper which converts types to a hypenated String. |
| IdStoringStrategy | Pluggable strategy for id storage management. |
| ListedClassNormalizer | ClassNormalizer that uses a list of substitutions. |
| MappingDerivationStrategy | Pluggable strategy determines whether introspection or bind time typing should be used when finding mappings. |
| MixedContentEncodingStrategy | Encodes body content. |
| NamespacePrefixMapper | Maps namespace URI 's to prefixes. |
| ObjectStringConverter | Strategy class for string <-> object conversions. |
| PropertySuppressionStrategy | Pluggable strategy specifying whether property's should be suppressed. |
| PropertySuppressionStrategy.Chain | Implementation delegates to a list of strategies |
| PropertySuppressionStrategy.Default | Default implementation. |
| SimpleTypeMapper | Strategy for binding simple types. |
| SimpleTypeMapper.Binding | Enumerates binding options for simple types. |
| StandardSimpleTypeMapper | Binds simple types as specified by IntrospectionConfiguration.isAttributesForPrimitives() . |
| TypeBindingStrategy | Determines the way that a type (of object) should be bound by Betwixt. |
| TypeBindingStrategy.BindingType | Enumerates the possible general ways that Betwixt can map a Java type to an XML type. |
| TypeBindingStrategy.Default | The default TypeBindingStrategy used by Betwixt. |
| ValueSuppressionStrategy | Determines whether the expression of an attribute with a values should be suppressed. |
This package contains a variety of plugin Strategy patterns that can be used to customize the default behaviours.
Implementations of the NameMapper
interface can be used to set the strategy used by
XMLIntrospector
to determine how to convert bean and property names into element
and attribute names.
Implementations of the PluralStemmer
interface allows the strategy used by
XMLIntrospector
to find which plural method maps to a singular property name.
This strategy is used to match composite properties to adder-methods.
How plurals are constructed is langauge-dependent. A typical usage for custom strategies
is to provide support for plural patterns in different languages.
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Count It allows you to record the frame rate of a game in order to view and analyze later.
Recoding a frame rate is separate than tracking a frame rate and must be explicitly started.
Tracking the frame rate does automatically start a recording.
To start recording, start tracking the frame rate and then either use the record button
in the FPS display or use the hotkey that you specify in "Preferences".
For more details on starting a recording, see
Recording Preferences.


This Bible contradiction is from the Skeptic's Annotated Bible.
Verses
Yes
Acts 7:22 View context
And Moses was learned in all the wisdom of the Egyptians, and was mighty in words and in deeds.
No
Exodus 4:10-16 View context
And Moses said unto the LORD, O my Lord, I [am] not eloquent, neither heretofore, nor since thou hast spoken unto thy servant: but I [am] slow of speech, and of a slow tongue.
And the LORD said unto him, Who hath made man's mouth? or who maketh the dumb, or deaf, or the seeing, or the blind? have not I the LORD?
Now therefore go, and I will be with thy mouth, and teach thee what thou shalt say.
And he said, O my Lord, send, I pray thee, by the hand [of him whom] thou wilt send.
And the anger of the LORD was kindled against Moses, and he said, [Is] not Aaron the Levite thy brother? I know that he can speak well. And also, behold, he cometh forth to meet thee: and when he seeth thee, he will be glad in his heart.

And he shall be thy spokesman unto the people: and he shall be, [even] he shall be to thee instead of a mouth, and thou shalt be to him instead of God.
Exodus 6:12-30 View context
And Moses spake before the LORD, saying, Behold, the children of Israel have not hearkened unto me; how then shall Pharaoh hear me, who [am] of uncircumcised lips?
And the LORD spake unto Moses and unto Aaron, and gave them a charge unto the children of Israel, and unto Pharaoh king of Egypt, to bring the children of Israel out of the land of Egypt.
These [be] the heads of their fathers' houses: The sons of Reuben the firstborn of Israel; Hanoch, and Pallu, Hezron, and Carmi: these [be] the families of Reuben.
And the sons of Simeon; Jemuel, and Jamin, and Ohad, and Jachin, and Zohar, and Shaul the son of a Canaanitish woman: these [are] the families of Simeon.
And these [are] the names of the sons of Levi according to their generations; Gershon, and Kohath, and Merari: and the years of the life of Levi [were] an hundred thirty and seven years.
The sons of Gershon; Libni, and Shimi, according to their families.
And the sons of Kohath; Amram, and Izhar, and Hebron, and Uzziel: and the years of the life of Kohath [were] an hundred thirty and three years.
And the sons of Merari; Mahali and Mushi: these [are] the families of Levi according to their generations.
And Amram took him Jochebed his father's sister to wife; and she bare him Aaron and Moses: and the years of the life of Amram [were] an hundred and thirty and seven years.
And the sons of Izhar; Korah, and Nepheg, and Zichri.
And the sons of Uzziel; Mishael, and Elzaphan, and Zithri.
And Aaron took him Elisheba, daughter of Amminadab, sister of Naashon, to wife; and she bare him Nadab, and Abihu, Eleazar, and Ithamar.
And the sons of Korah; Assir, and Elkanah, and Abiasaph: these [are] the families of the Korhites.
And Eleazar Aaron's son took him [one] of the daughters of Putiel to wife; and she bare him Phinehas: these [are] the heads of the fathers of the Levites according to their families.
These [are] that Aaron and Moses, to whom the LORD said, Bring out the children of Israel from the land of Egypt according to their armies.
These [are] they which spake to Pharaoh king of Egypt, to bring out the children of Israel from Egypt: these [are] that Moses and Aaron.
And it came to pass on the day [when] the LORD spake unto Moses in the land of Egypt,
That the LORD spake unto Moses, saying, I [am] the LORD: speak thou unto Pharaoh king of Egypt all that I say unto thee.
And Moses said before the LORD, Behold, I [am] of uncircumcised lips, and how shall Pharaoh hearken unto me?


Tagged by Techn0tic
After years of dodging this tag-the-blogger (“you’re it!“) memes, it was Dave Kinsella who finally got me. So with pure fear of a little dead girl climbing out of my TV in 7 days time, I’ll continue the chain.
If you are tagged you should:
(a) republish these rules
- Link to your original tagger(s) and list these rules in your post.
- Share seven facts about yourself in the post.
- Tag seven people at the end of your post by leaving their names and the links to their blogs.
- Let them know they’ve been tagged.
(b) share seven facts about myself
- People believe that “North by Northwest” is my favourite film, but it’s actually “The Big Lebowski“
- Known as a Scouser, apart from being born in Liverpool, I have only lived there for 10 years, (I’m 30-years old).
- The remaining 20 years (so far) I have lived in the following places; Northop/North Wales, Hindley/Wigan, Westhoughton/Bolton, Columbo/Sri Lanka, Alicante/Spain and Backwell/Yatton/Bristol.
- Although I did a Computer Science degree, I consider myself to be a self-taught developer.
- Embarrassingly, I have calculated the VAT wrong 3 times on issued invoices! — how difficult can it be?
- I was in a band called Tremor… we played at The Cavern, Matthew Street!
- Made a few short films, which have been shown at the FACT and regularly on Canvas @ 3345 Parr St.
(c) Tag seven people. This is difficult, I don’t even know 7 bloggers, but here goes:


Interactive calculation of hull hydrostatic properties.
Developed by: Vicente Alejandro Iváñez Encinas, Elias Hasle, and Henrique M. Gaspar. Visualization made using three.js. GUI made with dat.GUI.
| Variable | Bottom-Up | Top-Down |
|---|---|---|
| Length over all (m) | ||
| Draft Amidships (m) | ||
| B (m) | ||
| Volume of Displacement (m3) | ||
| Waterline Length (m) | ||
| Maximum Waterline Breadth (m) | ||
| Waterplane Area (m2) | ||
| Cb | ||
| Cp | ||
| Cwp | ||
| KB (m) | ||
| LCB (m) | ||
| LCF (m) | ||
| BMt (m) | ||
| BMl (m) |


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Before Change
self._observation_shape = observation_shape
self._action_shape = action_shape
fields = {
"observations": {
"shape": self._observation_shape,
"dtype": "float32"
},
// It"s a bit memory inefficient to save the observations twice,
// but it makes the code *much* easier since you no longer have
// to worry about termination conditions.
"next_observations": {
"shape": self._observation_shape,
"dtype": "float32"
},
"actions": {
"shape": self._action_shape,
"dtype": "float32"
},
"rewards": {
"shape": [],
"dtype": "float32"
After Change
// It"s a bit memory inefficient to save the observations twice,
// but it makes the code *much* easier since you no longer have
// to worry about termination conditions.
observation_fields.update({
"next_" + key: value
for key, value in observation_fields.items()
})
fields = {
**observation_fields,


class RelationalGroupedDataset extends AnyRef
A set of methods for aggregations on a DataFrame
, created by groupBy,
cube or rollup (and also pivot
).
The main method is the agg
function, which has multiple variants. This class also contains
some first-order statistics such as mean
, sum
for convenience.
- Annotations
- @Stable()
- Source
- RelationalGroupedDataset.scala
- Since
2.0.0
- Note
This class was named
GroupedData
in Spark 1.x.
- Alphabetic
- By Inheritance
- RelationalGroupedDataset
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Instance Constructors
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
agg(expr: Column, exprs: Column*): DataFrame
Compute aggregates by specifying a series of aggregate columns.
Compute aggregates by specifying a series of aggregate columns. Note that this function by default retains the grouping columns in its output. To not retain grouping columns, set
spark.sql.retainGroupColumns
to false.The available aggregate methods are defined in org.apache.spark.sql.functions.
// Selects the age of the oldest employee and the aggregate expense for each department // Scala: import org.apache.spark.sql.functions._ df.groupBy("department").agg(max("age"), sum("expense")) // Java: import static org.apache.spark.sql.functions.*; df.groupBy("department").agg(max("age"), sum("expense"));
Note that before Spark 1.4, the default behavior is to NOT retain grouping columns. To change to that behavior, set config variable
spark.sql.retainGroupColumns
tofalse
.// Scala, 1.3.x: df.groupBy("department").agg($"department", max("age"), sum("expense")) // Java, 1.3.x: df.groupBy("department").agg(col("department"), max("age"), sum("expense"));
- Annotations
- @varargs()
- Since
1.3.0
-
def
agg(exprs: Map[String, String]): DataFrame
(Java-specific) Compute aggregates by specifying a map from column name to aggregate methods.
(Java-specific) Compute aggregates by specifying a map from column name to aggregate methods. The resulting
DataFrame
will also contain the grouping columns.The available aggregate methods are
avg
,max
,min
,sum
,count
.// Selects the age of the oldest employee and the aggregate expense for each department import com.google.common.collect.ImmutableMap; df.groupBy("department").agg(ImmutableMap.of("age", "max", "expense", "sum"));
- Since
1.3.0
-
def
agg(exprs: Map[String, String]): DataFrame
(Scala-specific) Compute aggregates by specifying a map from column name to aggregate methods.
(Scala-specific) Compute aggregates by specifying a map from column name to aggregate methods. The resulting
DataFrame
will also contain the grouping columns.The available aggregate methods are
avg
,max
,min
,sum
,count
.// Selects the age of the oldest employee and the aggregate expense for each department df.groupBy("department").agg(Map( "age" -> "max", "expense" -> "sum" ))
- Since
1.3.0
-
def
agg(aggExpr: (String, String), aggExprs: (String, String)*): DataFrame
(Scala-specific) Compute aggregates by specifying the column names and aggregate methods.
(Scala-specific) Compute aggregates by specifying the column names and aggregate methods. The resulting
DataFrame
will also contain the grouping columns.The available aggregate methods are
avg
,max
,min
,sum
,count
.// Selects the age of the oldest employee and the aggregate expense for each department df.groupBy("department").agg( "age" -> "max", "expense" -> "sum" )
- Since
1.3.0
-
def
as[K, T](implicit arg0: Encoder[K], arg1: Encoder[T]): KeyValueGroupedDataset[K, T]
Returns a
KeyValueGroupedDataset
where the data is grouped by the grouping expressions of currentRelationalGroupedDataset
.Returns a
KeyValueGroupedDataset
where the data is grouped by the grouping expressions of currentRelationalGroupedDataset
.- Since
3.0.0
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
avg(colNames: String*): DataFrame
Compute the mean value for each numeric columns for each group.
Compute the mean value for each numeric columns for each group. The resulting
DataFrame
will also contain the grouping columns. When specified columns are given, only compute the mean values for them.- Annotations
- @varargs()
- Since
1.3.0
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
def
count(): DataFrame
Count the number of rows for each group.
Count the number of rows for each group. The resulting
DataFrame
will also contain the grouping columns.- Since
1.3.0
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
def
max(colNames: String*): DataFrame
Compute the max value for each numeric columns for each group.
Compute the max value for each numeric columns for each group. The resulting
DataFrame
will also contain the grouping columns. When specified columns are given, only compute the max values for them.- Annotations
- @varargs()
- Since
1.3.0
-
def
mean(colNames: String*): DataFrame
Compute the average value for each numeric columns for each group.
Compute the average value for each numeric columns for each group. This is an alias for
avg
. The resultingDataFrame
will also contain the grouping columns. When specified columns are given, only compute the average values for them.- Annotations
- @varargs()
- Since
1.3.0
-
def
min(colNames: String*): DataFrame
Compute the min value for each numeric column for each group.
Compute the min value for each numeric column for each group. The resulting
DataFrame
will also contain the grouping columns. When specified columns are given, only compute the min values for them.- Annotations
- @varargs()
- Since
1.3.0
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
def
pivot(pivotColumn: Column, values: List[Any]): RelationalGroupedDataset
(Java-specific) Pivots a column of the current
DataFrame
and performs the specified aggregation.(Java-specific) Pivots a column of the current
DataFrame
and performs the specified aggregation. This is an overloaded version of thepivot
method withpivotColumn
of theString
type.- pivotColumn
the column to pivot.
- values
List of values that will be translated to columns in the output DataFrame.
- Since
2.4.0
-
def
pivot(pivotColumn: Column, values: Seq[Any]): RelationalGroupedDataset
Pivots a column of the current
DataFrame
and performs the specified aggregation.Pivots a column of the current
DataFrame
and performs the specified aggregation. This is an overloaded version of thepivot
method withpivotColumn
of theString
type.// Compute the sum of earnings for each year by course with each course as a separate column df.groupBy($"year").pivot($"course", Seq("dotNET", "Java")).sum($"earnings")
- pivotColumn
the column to pivot.
- values
List of values that will be translated to columns in the output DataFrame.
- Since
2.4.0
-
def
pivot(pivotColumn: Column): RelationalGroupedDataset
Pivots a column of the current
DataFrame
and performs the specified aggregation.Pivots a column of the current
DataFrame
and performs the specified aggregation. This is an overloaded version of thepivot
method withpivotColumn
of theString
type.// Or without specifying column values (less efficient) df.groupBy($"year").pivot($"course").sum($"earnings");
- pivotColumn
he column to pivot.
- Since
2.4.0
-
def
pivot(pivotColumn: String, values: List[Any]): RelationalGroupedDataset
(Java-specific) Pivots a column of the current
DataFrame
and performs the specified aggregation.(Java-specific) Pivots a column of the current
DataFrame
and performs the specified aggregation.There are two versions of pivot function: one that requires the caller to specify the list of distinct values to pivot on, and one that does not. The latter is more concise but less efficient, because Spark needs to first compute the list of distinct values internally.
// Compute the sum of earnings for each year by course with each course as a separate column df.groupBy("year").pivot("course", Arrays.<Object>asList("dotNET", "Java")).sum("earnings"); // Or without specifying column values (less efficient) df.groupBy("year").pivot("course").sum("earnings");
- pivotColumn
Name of the column to pivot.
- values
List of values that will be translated to columns in the output DataFrame.
- Since
1.6.0
-
def
pivot(pivotColumn: String, values: Seq[Any]): RelationalGroupedDataset
Pivots a column of the current
DataFrame
and performs the specified aggregation.Pivots a column of the current
DataFrame
and performs the specified aggregation. There are two versions of pivot function: one that requires the caller to specify the list of distinct values to pivot on, and one that does not. The latter is more concise but less efficient, because Spark needs to first compute the list of distinct values internally.// Compute the sum of earnings for each year by course with each course as a separate column df.groupBy("year").pivot("course", Seq("dotNET", "Java")).sum("earnings") // Or without specifying column values (less efficient) df.groupBy("year").pivot("course").sum("earnings")
From Spark 3.0.0, values can be literal columns, for instance, struct. For pivoting by multiple columns, use the
struct
function to combine the columns and values:df.groupBy("year") .pivot("trainingCourse", Seq(struct(lit("java"), lit("Experts")))) .agg(sum($"earnings"))
- pivotColumn
Name of the column to pivot.
- values
List of values that will be translated to columns in the output DataFrame.
- Since
1.6.0
-
def
pivot(pivotColumn: String): RelationalGroupedDataset
Pivots a column of the current
DataFrame
and performs the specified aggregation.Pivots a column of the current
DataFrame
and performs the specified aggregation.There are two versions of
pivot
function: one that requires the caller to specify the list of distinct values to pivot on, and one that does not. The latter is more concise but less efficient, because Spark needs to first compute the list of distinct values internally.// Compute the sum of earnings for each year by course with each course as a separate column df.groupBy("year").pivot("course", Seq("dotNET", "Java")).sum("earnings") // Or without specifying column values (less efficient) df.groupBy("year").pivot("course").sum("earnings")
- pivotColumn
Name of the column to pivot.
- Since
1.6.0
-
def
sum(colNames: String*): DataFrame
Compute the sum for each numeric columns for each group.
Compute the sum for each numeric columns for each group. The resulting
DataFrame
will also contain the grouping columns. When specified columns are given, only compute the sum for them.- Annotations
- @varargs()
- Since
1.3.0
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- RelationalGroupedDataset → AnyRef → Any
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()


My Reps
Enter your address to find and contact your federal, state, county and local elected representatives
What is this?
My Reps is a tool for looking up who your elected representatives are across the United States. Based on your address, we can find all the federal, state, county and local officials who represent you in government.
Knowing who these representatives are and contacting their offices directly is the most effective way to change how our government works.
Have an issue you care about? Find your rep and tell them!
For more, read our launch blog post: We find your reps so you don't have to.
Organizers: reuse our code!
We built this tool to be open source and easy to repurpose. Feel free to copy and reuse the My Reps codebase and customize the messaging and content for your issue.
Instructions on how to get started are in the GitHub repository. For an example, see My Reps by the Participatory Budgeting Project and the open source code for it.
Custom installations
DataMade is available to deploy and host a custom instance of My Reps for your organization for a fee. Installations include custom fonts and colors to match your branding, custom call to action messaging, and one year of free hosting.
Contact DataMade to get started >
Reporting outdated or missing information
Information on elected officials comes from the Google Civic Information API, which aggregates data across the United States on elected officials in federal, state, county and local government offices.
Sometimes data is outdated or missing. If you notice an issue with the data, please report it to Google.
Team and credits
DataMade built this representative lookup tool for the Participatory Budgeting Project to help them advocate for more participatory budgeting in local government. Participatory budgeting is a process of democratic deliberation and decision-making, and a type of participatory democracy, in which ordinary people decide how to allocate part of a municipal or public budget.
To get an elected official to take up a particular government policy like this, one of the most effective strategies is to empower their constituents to directly advocate for it.
We built an initial version of this tool for the Participatory Budgeting Project, called My Reps, and used it as a basis to make this more general version of it.
The team is:
- Derek Eder - coding, design, copy
- Eric van Zanten - coding
We're open source!
All the code for this site is open source. It was built with Jekyll, Bootstrap and Javascript.
Technologies used:
All the code for this project is up on GitHub and under the open source MIT license.
Contact us
Found a bug? Report it on our issue tracker!
Have a suggestion? Want to set customize this tool for your organization? Contact DataMade at info@datamade.us


Unix conspiracy
`Prev `__
U
`Next `__
--------------
**Unix conspiracy**: n.
[ITS] According to a conspiracy theory long popular among
`*ITS* <../I/ITS.html>`__ and `*TOPS-20* <../T/TOPS-20.html>`__ fans,
Unix's growth is the result of a plot, hatched during the 1970s at Bell
Labs, whose intent was to hobble AT&T's competitors by making them
dependent upon a system whose future evolution was to be under AT&T's
control. This would be accomplished by disseminating an operating system
that is apparently inexpensive and easily portable, but also relatively
unreliable and insecure (so as to require continuing upgrades from
AT&T). This theory was lent a substantial impetus in 1984 by the paper
referenced in the `*back door* <../B/back-door.html>`__ entry.
In this view, Unix was designed to be one of the first computer viruses
(see `*virus* <../V/virus.html>`__) — but a virus spread to computers
indirectly by people and market forces, rather than directly through
disks and networks. Adherents of this ‘Unix virus’ theory like to cite
the fact that the well-known quotation “Unix is snake oil” was uttered
by `*DEC* <../D/DEC.html>`__ president Kenneth Olsen shortly before DEC
began actively promoting its own family of Unix workstations. (Olsen now
claims to have been misquoted.)
If there was ever such a conspiracy, it got thoroughly out of the
plotters' control after 1990. AT&T sold its Unix operation to Novell
around the same time `*Linux* <../L/Linux.html>`__ and other free-Unix
distributions were beginning to make noise.
--------------
+--------------------------------------+----------------------------+--------------------------------+
| `Prev `__ | `Up <../U.html>`__ | `Next `__ |
+--------------------------------------+----------------------------+--------------------------------+
| Unix brain damage | `Home <../index.html>`__ | Unix weenie |
+--------------------------------------+----------------------------+--------------------------------+


[Apr 10, 2021] Our paper Object-Centric Representation
Learning for Video Question Answering is accepted at IJCNN
2021. Source code will be available soon!
[Oct 7, 2020] I gave a talk on Visual Question Answering
and Visual Reasoning at 2d3d.ai.
[Oct 3, 2020] I gave a talk on Visual Question Answering
and Visual Reasoning at VietAI Advanced Class in Computer Vision.
[Jul 29, 2020] Code for our IJCAI 2020
paper is now online.
[Jun 18, 2020] Our CVPR 2020 paper was featured on
CVPR Daily magazine (page 6-8).
[Apr 20, 2020] Our paper Dynamic Language Binding in
Relational Visual Reasoning is accepted at IJCAI 2020,
acceptance rate 12.6% (592/4717). Preprint and source code will be available soon!
[Apr 17, 2020] I gave a talk on Visual Question Answering to
a research group at University of Wollongong, Australia.
[Mar 21, 2020] Our paper
Neural Reasoning, Fast and Slow, for Video Question Answering is accepted at IJCNN 2020.
[Mar 13, 2020] Our CVPR 2020 paper got an oral accept (335 out of 1467 accepted papers).
[Feb 29, 2020] Code for our CVPR 2020
paper is now public.
[Feb 24, 2020] Our paper
Hierarchical Conditional Relation Networks for Video Question Answering is accepted at CVPR 2020, acceptance rate 22% (1470/6656).
[Nov 14, 2018] I started my PhD candidature with A2I2@Deakin (Australia).


Hey, cutie.
Pretty people like pretty things; it seems like you would be a great fit for the CSS/Design track!
Front-end developers spend their time making things look and work well, obsessing over layouts, navigation, colors, and design. If this type of work appeals to you, your best bet is to take CSS and Design classes at Epicodus.
Oooh, interesting!
You like having the best of both worlds, welcome to the Java / Ruby pathways!
Java is a favorite of enterprise companies, but its appeal is broad as well: it's one of the most popular of all programming languages, and it's used in everything from for high-performance processing to building Android user interfaces. Because Java has been very popular for a very long time and is used in so many applications, it is also a very high-demand language. If you're interested in working for an enterprise-level company, as an Android developer, or in high-performance applications, Java could be a good language to learn.
Ruby is a favorite language of developers building interactive web applications. If an app involves users creating accounts, entering information, and interacting with dynamic content, there's a good chance it is built with Ruby. Ruby became popular because the Rails framework, which is written with Ruby, simplified many of the common tasks associated with building web applications. It's most popular with startups and smaller companies who are looking to build their product quickly.
Hey, nerds (and lina). Welcome to the C# / PHP pathways!
You like getting your hands dirty. like really.. really dirty
C# is most popular among bigger established businesses, often for building internal software. Because it's been around for a long time and has the backing of Microsoft, it is one of the most in-demand languages in the job market. C# has also been going through a bit of a rebirth lately, with Microsoft open sourcing the language and surrounding platform, porting it to run on Mac and Linux, and incorporating many of the best features of other languages. If you like the idea of working for a larger company on business software, C# is a great choice.
PHP is by far the most popular backend language today, with 80 percent of websites utilizing it 'server-side'. It is perhaps best known for it's use in content management systems like Wordpress, Drupal, and Joomla. But the versatility of the language and the frameworks it powers make employment options numerous and diverse. If you're keen to work for a fast paced agency that builds websites for lots of clients, or maintain the security and stability of a huge complex of government websites, or if you like the idea of building out small sites for brands, businesses, and organizations - In any of these cases, PHP would be a great way to go.


--- title: How Gauss would compute a Confusion matrix for their classification model author: Cristóbal Alcázar date: '2022-05-19' slug: [] categories: [python, ML, numpy, linear-algebra] tags: [python, ML, numpy, linear-algebra] comments: no showcomments: yes showpagemeta: yes ---
A confusion matrix
is a practical and conceptually simple tool to evaluate a classification model.
So we need to honour it with a simple way to compute it, like Gauss in the past,
without the magic of would do
it with simple linear algebra operations:from sklearn.metrics import confusion_matrix
A confusion matrix is the matrix multiplication by the true and predicted labels, both encoding as one-hot vectors.
If we have the true labels of 4 observations in vector \(\boldsymbol y = [1, 0, 2, 1]\), and 3 different classes (i.e. 0, 1 and 2), their one-hot encoding will be:
\[ \boldsymbol T = \begin{bmatrix} 0 & 1 & 0\\ 1 & 0 & 0\\ 0 & 0 & 1\\ 0 & 1 & 0 \end{bmatrix}~\in~[0,1]^{4~\times~3} \]
Some classification model gives us the predicted label for each observation in the vector \(\hat{\boldsymbol y} = [2, 0, 2, 0]\), by the same logic above, the one-hot encoding will be:
\[ \hat{\boldsymbol T} = \begin{bmatrix} 0 & 0 & 1\\ 1 & 0 & 0\\ 0 & 0 & 1\\ 1 & 0 & 0 \end{bmatrix}~\in~[0,1]^{4~\times~3} \] We have everything to compute the confusion matrix and, it will be \(\boldsymbol T^{\top}\hat{\boldsymbol T}~\in~\boldsymbol Z_{0+}^{3\times3}\). So again,
A confusion matrix is the matrix multiplication by the true and predicted labels, both encoding as one-hot vectors.
\[ \boldsymbol T^{\top}\hat{\boldsymbol T} = \begin{bmatrix} 1 & 0 & 0\\ 1 & 0 & 1\\ 0 & 0 & 1 \end{bmatrix}~\in~Z_{0+}^{3~\times~3} \\ \]
As you notice, the confusion matrix summarizes the information correctly of both vectors.
\[ \boldsymbol y = [1,0,2,1] \\ \hat{\boldsymbol y} = [2,0,2,0] \]
0
1
, producing two errors1
-observations, one with a 2
and the
other with a 0
, look at the second rowimport numpy as np
We need two steps to compute our confusion matrix.
First, we need a way to transform a vector \(\boldsymbol v\) with k-classes into their one-hot-encoding
version, v_one_hot = one_hot_econding(v)
:
def one_hot_encoding(v):
'''Return the one-hot encoding vector for k-classes label vector'''
num_classes = np.unique(v).size
return np.eye(num_classes)[v]
Second, compute the confusion matrix, \(~\boldsymbol T^{\top}\hat{\boldsymbol T}~\in~\boldsymbol Z_{0+}^{K\times K}~\), for k-classes; there are many ways of doing it with numpy
as
you can see in the following code. Below I used the canonical notation to name the
true labels (y
) and the predicted ones (y_pred
):
# 1st option: Using the matrix multiplication '@' operator
one_hot_encoding(y).T @ one_hot_encoding(y_pred)
# 2nd option: Using np.dot()
np.dot(one_hot_encoding(y).T, one_hot_encoding(y_pred))
# 3rd option: Using np.matmul()
np.matmul(one_hot_encoding(y).T, one_hot_encoding(y_pred))
And we are done! Of course, you can always get your confusion matrix from your favourite store ;)
from sklearn.metrics import confusion_matrix
confusion_matrix(y, y_pred)
That’s the way computer talks to each other.


RAJATH REGHUNATH
ANDROID & WEB DEVELOPER
Home
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| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| cache.js | 89.47% | 51/57 | 75% | 3/4 | 100% | 0/0 | 89.47% | 51/57 | |
| crudinterface.js | 100% | 94/94 | 81.25% | 13/16 | 100% | 8/8 | 100% | 94/94 | |
| crudmemory.js | 100% | 171/171 | 82.05% | 32/39 | 100% | 16/16 | 100% | 169/169 | |
| crudmongo.js | 95.11% | 253/266 | 79.8% | 79/99 | 100% | 22/22 | 95.11% | 253/266 | |
| crudroutes.js | 90.32% | 56/62 | 50% | 7/14 | 87.5% | 7/8 | 90.32% | 56/62 | |
| model.js | 12.93% | 15/116 | 7.69% | 2/26 | 28.57% | 4/14 | 12.93% | 15/116 | |
| mongo.js | 77.5% | 31/40 | 47.83% | 11/23 | 100% | 0/0 | 77.5% | 31/40 | |
| redis.js | 89.6% | 112/125 | 57.14% | 16/28 | 100% | 18/18 | 89.6% | 112/125 | |
| route.js | 100% | 7/7 | 100% | 0/0 | 100% | 3/3 | 100% | 7/7 | |
| utils.js | 84.04% | 79/94 | 63.46% | 33/52 | 90.91% | 10/11 | 84.04% | 79/94 |


Artisan Wood and Stone work from the Isle of Man
Sticks & Stones is a small family run business based in Peel, on the Isle of Man. Our ethos is to create hand crafted items for your home that echo the beauty and character that can be found all over this island we are proud to call Home, or in Manx Gaelic Thie My Chree - "Home of my heart".
At Sticks & Stones we strive to produce all of our products using raw materials that have been sourced locally, on island. In most cases, unless specifically requested, we will not use new timber nor quarried stone.
It is important to us that we recycle, reclaim and waste nothing. Our materials come from a variety of sources; beaches, industrial & residential reclamation and pre-loved items.
Our product pages are under development and we will be launching our Etsy shop in the New Year. Feel free to call or email us if you'd like to find out more.


@NotNull abstract fun buildUpon(): Mockspresso.Builder
Build upon this mockspresso instance's configuration and dependencies.
Return Mockspresso.Builder: a new Builder that is based upon this mockspresso instance.
Builder


Should you purchase the Nest Wifi Router or the Eero Pro?
Our Recommendation
Nest WiFi Router
Still A Decent Choice
Eero Pro (2nd Generation)
There's a lot to love about the Nest Wifi Router. It's both powerful and easy to use, offering fast and seamless connectivity throughout the home. The only drawback is that the Points don't offer quite the same connectivity as the router. Fortunately, the router itself doubles as a network extender.
Pros
- Integrates seamlessly with Google Home and Google Wifi
- Nest Points double as smart speakers
- Powerful onboard hardware
- Easy setup
Cons
- Dual-band only
- No support for Wi-Fi 6
- Router lacks smart speaker functionality
- Points are a little weak, specs-wise
There's a lot to love about the Eero Pro. Its tri-band hardware means more consistent speeds throughout your home, it integrates very readily with Alexa, and Eero's subscription service offers a lot of neat features. Unfortunately, these aren't enough to justify its higher price tag, especially when the Nest router outperforms it.
Pros
- Tri-band Wi-Fi for greater consistency
- Excellent support for Amazon Alexa
- Easy setup
- Can set schedules that control connectivity to select devices
- Security features are top-notch
Cons
- Slower
- More expensive
- Requires a subscription fee for some features
- No support for Wi-Fi 6
Although the 2nd Generation Eero Pro is an excellent product in its own right, the Nest Wifi Router is simply the better choice. Though it lacks the tri-band connectivity of the Pro, it makes up for that with better on-board hardware, more memory, and overall better network speed. It also costs less than the Pro, which is another point in its favor.
It's under the hood that counts
Source: Nirave Gondhia / Android Central
At first glance, you might expect the Eero Pro to outperform the Nest WiFi Router. It does have a few things going for it over its competitor. Tri-band connectivity offers slightly better reliability and an extra safeguard against signal interference.
Some of the Pro's extra features — most of which are only available via subscription — are neat, as well. They probably represent the product's most significant advantage over Nest, especially if you're privacy-conscious. Generally speaking, an Eero Pro subscription (either Eero Secure or Eero Secure Plus) is meant to give you more control over your network, your data, and privacy.
Eero Secure provides safesearch, content filtering, network-wide ad blocking, and priority technical support. Eero Secure Plus further sweetens the deal with accounts for encrypt.me VPN, Malwarebytes anti-malware, and 1Password. If you're concerned about protecting your network and data, this subscription alone could make the Eero Pro worth your while.
Ultimately, however, these features aren't enough to give Eero an edge over the Nest.
| Nest Wifi Router | Eero Pro | |
|---|---|---|
| Bands | Dual (2.4 GHz/5 GHz) | Tri (2.4 GHz, 5.2 GHz, 5.8 GHz) |
| Wireless Standard | IEEE802.11a/b/g/n/ac | IEEE802.11a/b/g/n/ac |
| Wifi Output | 4x4 MU-MIMO | 2x2 MU-MIMO |
| Beamforming | Yes | Yes |
| Bluetooth LE | Yes | Yes |
| Processor | 1.4 GHz Quad-Core | 700 MHz Quad-Core |
| Gigabit Ports | 2 | 2 |
| Memory | 4 GB | 4 GB |
| RAM | 1 GB | 512 MB |
| Max Coverage (sq. ft.) | 2200 | 2000 |
| Security | WPA3 | WPA2 |
The Nest Wifi Router offers most of the same basic features as the Eero Pro, with better hardware and support for more devices on the same network. It also provides wireless coverage over a slightly larger area, and uses WPA3 instead of WPA2 encryption, meaning your mesh network will be more secure with Google's offering. Factor in backwards compatibility with Google WiFi and complete integration with Google Assistant/Google Home, and you've got a mesh network that's perfect to support your smart home.
Source: Eero
Of course, there are a few things neither router does particularly well. One of our biggest gripes with both systems is that they sport only one spare gigabit port. If you want to connect more than one device via Ethernet, you're out of luck.
There's also the fact that if you buy extenders for either router rather than buying the routers themselves, there are a few drawbacks. In the case of Nest WiFi, the Nest WiFi Points don't offer anywhere near the same connection speed as the primary router, in addition to not having an Ethernet port. While this probably won't bother most people, if you have any network-intensive systems far away from your router, you may notice a bit of slowdown. This is mitigated somewhat by the fact that each Point also doubles as a Google Nest smart speaker, with full Google Assistant functionality.
Eero's expanders, known as Beacons, suffer from something similar. Like the Nest point, it doesn't have an Ethernet port, and is significantly less powerful than the Eero Pro. It does double as a night light, though — not quite as cool as a smart speaker, but a nice bit of added functionality all the same.
On the topic of extenders, this is another area where Nest comes out ahead of Eero, and not just because of the smart speaker functionality of the points. The Eero Pro and Beacon package costs around $299, providing up to 3,750 square feet of coverage. A Nest Wifi Router and Point combination, meanwhile, costs less and covers up to 3,800 square feet.
It's a small edge, but an edge just the same, and one more advantage Nest has over Eero.
Overall we think the specs speak for themselves. While Eero presents an appealing package at first glance, it can't live up to what Nest has to offer.
Our Top Pick
Nest Wifi Router
Fast, powerful, intuitive
Google has improved virtually everything about its wireless hardware with the Nest Wifi Router. It boasts outstanding speed, a cool design, and easy setup and configuration. While it might be a bit pricier than some other mesh solutions on the market, in this case, you get what you pay for.
Tri-band wifi
Eero Pro
Older, but still a strong contender
The Eero Pro might be outperformed by Google's offering, but that doesn't mean it's a bad router by any means. It's powerful in its own right, with tri-band Wi-Fi giving it a slight edge over the Nest in reliability. Plus, if you're willing to pay for a subscription, it offers a ton of additional features not found on the Nest. Still, even that doesn't really justify the higher price tag.
We may earn a commission for purchases using our links. Learn more.


Class: $.TypedFaceView
- Inherits:
-
WatchUi.WatchFace
-
WatchUi.WatchFace
-
Overview
Main watch face view
Instance Method Summary collapse
-
initialize()
Constructor.
-
onEnterSleep()
Terminate any active timers and prepare for slow updates.
-
onExitSleep()
The user has just looked at their watch.
-
onHide()
Called when this View is removed from the screen.
-
onLayout(dc as Dc) as Void
Load layout.
-
onShow() as Void
Called when this View is brought to the foreground.
-
onUpdate(dc as Dc) as Void
Update the view.
Instance Method Details
initialize()
Constructor
onEnterSleep()
Terminate any active timers and prepare for slow updates.
onExitSleep()
The user has just looked at their watch. Timers and animations may be started here.
onHide()
Called when this View is removed from the screen. Save the state of this View here. This includes freeing resources from memory.
onLayout(dc as Dc) as Void
Load layout
onShow() as Void
Called when this View is brought to the foreground. Restore the state of this View and prepare it to be shown. This includes loading resources into memory.
onUpdate(dc as Dc) as Void
Update the view


Part 1:
Web Map Basics
The basic principles of web mapping
Like...
History of webmaps
Main components
Exceptions to the norm
Why?
- Understand the origins of the current web mapping paradigm
- Be able to identify the different basic components of web maps and how they work together
- Become more cognizant of the variety of ways maps can be produced for the web
What is a web map?
How do web maps differ from digital maps?
Digital: involves a computer, but might not be accessible by the internet.
Both are obviously quite different from analog maps, such as paper maps and atlases
Web maps are typically:
Viewed in your browser
Accessed via the internet
Interactive
- pan
- click
- zoom
- filter data
- ...
Examples:
History:
How did web maps come to be?
First, there were digital maps like
ArcGIS.
GIS for web → Bad UX
1996: Mapquest launched its web service.
Directions! Online! Revolutionary!
It wasn't perfect...
Big problem: slow to load
- Required a full page refresh to scroll or zoom
- Always aligned to the boundaries of the map image.
2005: Google Maps changes the game
What was the revolution?
Was it the interface?
The red marker?
The weather widget?
No!
2 big game changers
- Tiles
- GoogleMaps API access
Tiles
All tiles
=
same size! 256x256 pixels
same boundaries
Created first web map mashup using house listings from Craigslist and hacked GoogleMaps
Google's response: "This is cool. Everyone should be able to do this! Let's open up the GoogleMaps API!"
And they did
What are the components that make up a typical web map?
Body as a metaphor
Both bodies and web maps have components and systems that interact and intertwine.
Instead of cells, maps have data.
Instead of circulatory and digestive systems, web maps have styles and tiles and servers.
All tiles
=
same size! 256x256 pixels
same boundaries
Tiles could be a
- road map
- satellite image
- terrain/topographic map
- ................
Really, anything that's a raster
All these little tiles load
way faster than one big map.
 If the map is “smart,” it will pre-load tiles outside of the screen, along the top, bottom, left, and right.
AKA:
slippy map
Each zoom level has its own set of tiles
Zoom level 0: one tile for the world.
With each additional zoom level, the number of tiles increases exponentially.
Zoom level 1: 4 tiles for the world.
Zoom level 2, 3, 4, 5
Zoom level 13
Zoom level 15 = ~1.1 billion tiles
Zoom level 17 = ~17 billion tiles!
Tiles are rendered in advance (usually) then stored in a cache
Map tiles are just images on the web, so you can link to them individually.
Let's break down the URL.
http://tile.openstreetmap.org/4/2/6.png -- this is the name of the tile server.
http://tile.openstreetmap.org/4/2/6.png -- this is the z value, or the zoom level.
http://tile.openstreetmap.org/4/2/6.png -- This is the x/y value, or the place in the grid where the tile lives.
Activity:
Using your web browser and the http://tile.openstreetmap.org/z/x/y.png URL pattern, try to find Toledo, OH in the OSM tile set at zoom levels 4, 6, and 8.
(Message me the URL if you find it)
Hold your horses, Ryan!
This slide intentionally blank
All the other slippy maps and slippy map software followed Google's lead, with tiles at the base.
This also means all slippy maps are based on a variant of the Mercator projection.
Mercator projection was designed for sailors BUT it works well for flat maps.
Be mindful of Mercator's limitations → area distortion moving towards the poles.
A collection of tiles makes up the map's base layer.
When we layer things like markers on top of them, we call those data layers or content layers or feature layers.
*(Not every web map contains a feature layer, but they are fairly typical.)
They are often vector layers (point, line, polygon). Sometimes you can interact with them (clicking to produce a popup, for example).
Filetypes: GIS uses
shapefiles, but web maps prefer
KML, or more recently,
GeoJSON
Here's the breakdown of how these pieces fit together:
The simplest possible web map: http://bit.ly/1B20nhJ
What does the javascript library do? Grabs the tiles, adds content layer, handles interaction.
Open Source Javascript libraries
The simplified story of webmaps, in review:
- The world is split into 256 x 256 pixel images at various zoom levels
- Those images are raster-based (PNG, JPEG) to create a base layer
- Vector data goes on top of the base layer for interaction
3 exceptions to the simplified story!
Exception #1: Tiles are always rasters EXCEPT when they're not
vector tiles! What are they?
Raster: ask for data to fit into tile, don't include geometry, attributes, or metadata for features in baselayer
It's just an image!
vector tiles: features stored as vectors and can include geometry, attribute and metadata, still conform to 256X256px grid pattern, but featuers can overrun grid boundaries
It's new and a bit complicated, but
MapBox has integrated them into their webmap services
Exception #2: Can’t interact with features on a raster. BUT
UTFGrid (Mapbox invention) makes it possible.
UTFGrid is an invisble tile layer made up of arbitrary letters which are indexes into the clickable data
Stamen used this technique on the
Parks Conservancy map.
Exception #3:
D3 exists outside the world of tiles
you can’t easily make a road map in D3 BUT can do things that are clumsy in slippy maps like...
choropleth maps or...
sta.mn/jyx
cartograms or...
sta.mn/q99
different map projections (in the browser!)
sta.mn/jfs
Very powerful, but steep learning curve
How to get going...
Do I need to make my own custom tiles?
Style your map with
CartoCSS (or just carto)
You can host these files on
MapBox, or...
Do I need a content layer?
No? Put all your data into the tiles, possibly using UTFGrid for interactivity
Finally,
CartoDB takes care of almost all of this for you!
What have we learned?
Web maps are a particular type of digital map
Most web maps consist of a tile base layer and a vector feature layer...
...but there are exceptions
Presentation made with
big


{% extends "layout.html" %} {% block body %}
Hackeriet is: {{ humla }}
This page lets you ring the doorbell when Hackeriet is gathering.
Your presence will also be announced on IRC #oslohackerspace
Who are you? (optional)


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Development funded by
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for their mobile app
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Draw a small star at the end of each line of the original star.
Reduce the size of the pattern and draw the basic star at the end of each line of the original:
This is similar to what happens in nature. Water vapor forms into ice crystals where there is a particle of dust or a sharp point of a previous ice crystal.
Of course, the new version of the snow flake has many more sharp points than the original.


"I'm
tired of being dismissed as merely a guy who smashes fruit."
California might be one big party town, but in August of 2003, Governor
Gray Davis was considered the club's worst dj. When the recall circus
began, anyone capable of coughing up the $3500 filing fee and 65 signatures
could get their names affixed to the ballot.
Never mind that sixty-five was roughly the same number collected
by fans of NBC's 1983 series Manimal to get the program back on
the air - but for veteran prop comic Gallagher, securing signatures
in Los Angeles was like pulling teeth. He "stood on Sunset Boulevard
like a prostitute," soliciting a city full of multinationals who
didn't recognize him. And the rest just didn't seem that interested in
getting registered to vote. When he showed up in the lobby of The Washington
Post with a large cardboard box filled with dirty clothes, a security
guard asked him to leave.
Known for his balding head with Krusty the Klown tufts, horizontally
striped shirts and foppish berets, this precursor to Carrot Top sledgehammered
his way to fame and fortune in the early 1980s. During his comedy routine,
he was indeed the first to postulate openly, if 7-11 convenience stores
are open 24 hours, why do they have locks on the doors? Less than
a decade later, comic Steven Wright would answer his query: "sure
they're open 24 hours - but not in a row." Gallagher's comedy involves
wordplay, insightful satire, and the spectacular, splattery destruction
of maleable foodstuffs across entire auditoriums. Like Doug Henning combined
with Weird Al Yankovic and sprinkled with Cheech and Chong, Gallagher
inspired a generation. During a segment of the Wachowski Brother's The Matrix - as Neo is running through an outdoor market - the directors
insisted watermelons get a little smashed up as an homage to the comic.
Today,
the fifty-seven year old Gallagher's presence cements California as the
political loony bin of the entire nation. He'll appear on the upcoming
recall ballot as "Leo" Gallagher (his name and astrological
sign). He promises to reduce bumper-to-bumper freeway traffic by sending
military-style helicopters to airlift wrecked cars. "How is our economy
going to move if you can't move on the freeways?"
 Make it illegal
to talk loudly on cell phones in public." He also likes the ideas
of newspapers running obituaries for businesses - and suggests that if
the state of California operates at a loss, then its citizens should write
off their share of the loss on their federal income tax returns. Nnnnot
bad, actually.
Not
one to "skirt" issues [left], his campaign slogans run the gamut
from "Finally, a governor you can get drunk with," [right] and
"Together we can screw the state," to "A grass roots movement
you can't stop from rolling."
Gallagher postponed his September 6th concert at the Topeka, Kansas Performing
Arts center to focus on his campaign. He's now entitled under equal access
law to television appearances with Jay Leno, Diane Sawyer, and Matt Lauer.
When he attempted to make a surprise announcement on CNN's CrossFire,
he was pre-empted by a massive, northeastern electrical blackout which
struck down power in Ottawa and portions of the United States. Then he
announced on WGN Television in Chicago that he's not only running for
Governor of California, he's entering the 2004 Presidential Race
as well. Following performances in Chicago and Davenport, Gallagher plans
to campaign at the Iowa State Fair.
But
on August 15th, 2003, journalists at Rotten Dot Com uncovered a scandal
- and evidence which reasonably sensitive black voters might not take
a liking to. On Gallagher's web site, there exists a tell-tale link to
a small business called Wally Amos Watermelon Hats, trademarked,
owned by, and used under license by Soma, a limited liability corporation.
 The textured velvet
fedora (or top hat), has a cool cotton lining and is fully adjustable
to any size. Amos himself was a theatrical agent at the William Morris
agency, where he worked with Simon and Garfunkel and The Supremes. Over
the years, Amos has acted in network sitcoms and news programs.
Supporters
might argue that Gallagher's fondness for politically incorrect haberdashery
isn't really directed at black people, he's just "taking back
the night" by poking fun at watermelons themselves. Supporters insist
he's just smashing stereotypes. But by ridiculing melons (or any seeded
fruit currently protected under California's multicultural umbrella),
by publicly executing literally truckloads of vegetables likely
handpicked by impoverished Mexican immigrants - what kind of message could
Gallagher possibly be sending to the Latino community? Do Hispanic Americans
in the front row really want this comic's threadbare political agenda
splashed across their faces?
Gallagher responds: because the state is 50% Latino, as governor he would
mandate the singing of a Spanish version of the Star Spangled Banner
at 50% of all statewide sporting events. He'd also build an enormous dam
across the Gulf of California to create a fertile valley in Mexico. When
the seawater is sufficiently drained, crops will be grown and harvested
by Mexican families who wouldn't have to immigrate to the states.
Other
proposed initiatives include:
- Expanding the indecent exposure statute to place restrictions on teenage
boys' ability to sport low-hanging pants (so the "pooper part"
is less visible). However, Governor Gallagher would make it legal for
kids to "cruise" and show off their lowriders, abolishing anti-cruising
laws and establishing lawful zones where kids could cruise safely.
- Allowing motorcycles to use the diamond lane (but not go between cars)
because frankly that scares him.
- To save taxpayer money, all remaining Charles Manson parole board
hearings would be cancelled.
And there are key science and technology issues in his agenda as well:
Because the U.S. won World War II and world leadership by way of sub-atomic
particles in atomic weaponry, Gallagher proposes that sub-atomic particles
be characters in video games, card games and cartoons, "so a future
electorate will be more informed than the one who cancelled the supercollider."
Presently, much of California's fertile Central Valley frowns upon his
reckless, feckless wastage of precious foodstuffs - alleging he's only
using the state to revive his B-list career. Flagrant destruction of the
state's number-one cash crops place him in a tense position with members
of California's Green Party. And watermelons aren't the only products
which fall victim to his trademarked Sledge-O-Matic: Gallagher concerts
also consume and destroy cantaloupes, pineapples, bowls of oatmeal - even
oversize bottles of pink dishwashing detergent.
"You gotta get a comic to clean this place out," he says -
a statement equally true of Gallagher concert halls and California politics.
Voters will tentatively emerge from behind their clear, plastic ponchos
for statewide special election on Tuesday, October 7th, 2003. Polls will
be open from 7:00am to 8:00pm.
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