15-105 SPRING 2009 [CORTINA]
HOMEWORK 8 - due Friday, April 3
WRITTEN PROBLEMS (8 pts)
Hand these problems in on paper in class on the due date specified.
- (1 pt)
Britney Spears' management team is scheduling a concert tour for her
comeback which will visit 15 cities including the first concert in
her home town of
Los Angeles. She will perform one show in each city. She has a private
jet that will fly her directly from any city to any other city on her
tour. The cost of each flight depends on many factors including
availability of staff, landing fees at airports, etc. A computer can
compute the total travel cost for 1000 potential concert tour schedules
per second.
-
How long will it take to determine the sequence of cities in a
concert tour schedule that has the lowest total flight cost? Show your
work.
-
If Britney adds a 16th city to her tour, how many times longer will
it take the computer to compute the lowest total flight cost? Explain your
answer.
- (1 pt)
Consider the following formula in the propositional calculus:
~(A & B) & (A → C) & (C → B)
-
Compute the truth value of this formula for every possible assignment
of the variables A, B, and C. Show your work.
-
Is this formula satisfiable? Why or why not?
- (1.5 pts)
A one-story house is shown below. The owner does not want any
multi-colored rooms. Put another way, the owner wants to paint each room
with a single color, but the colors of all rooms do not have to be the
same color (but they could be). Hallways are considered rooms, but closets
are not rooms and are not shown in the diagram.
_________________________________________________
| | | | | |
| MASTER | | | DINING | |
| BEDROOM |BATH|BATH| KITCHEN | ROOM | |
| | | | | |
|________ |____|__ |_ __ _|__ __| |
| | HALLWAY | | HOME |
| ________ _____ OFFICE |
| | | | |
| BED- | BED- | FAMILY | LIVING | |
| ROOM | ROOM | ROOM ROOM | |
| | | | |
|______|_________________|_______________|________|
-
Using only 3 colors of paint (tan, white and yellow), how many different
ways can the owner paint the house? Explain your answer.
-
Now, the owner adds another requirement that no two rooms that share a
doorway can be painted the same color. Can this be done for the owner's
house? Either show a valid color assignment for each room or explain why
no such assignment is possible.
-
Why is this problem considered intractable in general?
- (1 pt)
The floor tiling problem described in class in undecidable with the
condition that we cannot rotate the tile designs that we are given.
Explain why this problem becomes decidable (in fact, the answer is always
YES) if we allow rotations.
- (1.5 pt)
-
For each of the following word correspondence problems, either find a
correspondence (sequence that yields the same word from X and Y) or
explain clearly why no such correspondence exists.
(i) (ii)
------------------------------- -------------------------------
| Group | 1 | 2 | 3 | 4 | | Group | 1 | 2 | 3 | 4 |
------------------------------- -------------------------------
| X | ab | bb | ab | ba | | X | abb | a | b | aaa |
| Y | ba | ba | aba | b | | Y | a | aa | a | bba |
------------------------------- -------------------------------
-
The word correspondence problem as described in class is
undecidable in general. Why?
- (1 pt)
The class P represents those problems that can be solved in
polynomial time. The class NP represents those problems with a solution
that can be verified in polynomial time.
Consider the traveling salesperson problem where we want to find a
tour of the N cities that costs at most K. Explain why this problem is in
NP.
- (1 pt)
Using the definitions for P and NP given in the previous problem,
if a problem is in P, is it in NP also? If a problem is in NP, is it in P
also?
COMPUTER PROBLEM (2 pts)
Hand this in electronically using the
Electronic Handin System by 11:59PM on the due
date indicated.
Write a Python program that reads in 12 temperatures from a text file into
an array. Then create a window that is 300 pixels wide by 200 pixels high.
In this window, draw a bar graph that shows these temperatures from
January at the left to December at the right. The bottom of the window
represents 0o and the top of the window represents
100o. Each bar should be 25 pixels wide. The height of each bar
depends on the temperature for each month. The colors of the bars should
alternate between green, yellow and cyan.
Once the bargraph is displayed, your program should wait for the user to
click the mouse on or above one of the bars. Depending on the location
clicked, display the corresponding
month and temperature in the console window.
Allow the user to click 5 times.
Programming Hints:
-
Create another array with the names of the months so you can easily print
out the correct one without using 12 if statements. Remember to
put the names of the months in quotation marks, e.g. "Jan", since
these are strings, not numerical values.
-
Use the win.getMouse() function to get the
point where the user clicks. Then use the getX
function to get the x position of the user's click.
The index of the month picked is x/25 since each bar is 25 pixels wide.
The user does not have to click on the bar itself; the user can click
anywhere in the vertical region in or above that bar.
SAMPLE DATA FILE: Right click HERE
to save the data file that contains the Pittsburgh temperatures.
You may assume the data files that we use to grade your program
will have 12 integers in the range 1 to 100 inclusive, one per line,
as in the example data file.
Your final program should work for any temperature data (between 1
and 100), not just Pittsburgh's temperatures.
Example graph created for the Pittsburgh temperatures given in homework
7.


Author: @entee
Business
Today - weather - todays events - reminders - news
Download the ios 12 version here : https://routinehub.co/download/7445
If you want to include/exclude certain calendars/reminder lists, edit the Action immediately after the Calendar Filter/Reminder Filter comments.
Tags: Today Calendar Events Appointments Reminder Lists List RSS Rain Temperature Wind


Projects
-
Coffee.Spec
Create stunning coffee posters for your office
-
TLV-Streets
A mobile site that tells you the meanings for street names in Tel-Aviv
-
Release Cycles
An abstract racing game where you fight against the clock and the computer to get as far as you can in a products life-cycle.Won the Github Game Off 2012
-
Makom-Tov
A site for viewing upcoming movies and finding the best seats
-
O RLY?
A small tool that reminds you to run bundle:install and rake db:migrate
-
FlowSync
A tool for syncing FlowDock chat rooms across teams working together
-
enumify
A gem for adding enum-like capabilities to ActiveRecord
-
EyToolbox
A toolbox for EngineYard for easy deploys and other stuff


DE.statistics.Rd
Computes the agreement of differential expression (DE) wihtin one data set
with an assumed true DE status usually given based on a gold standard.
The following statistics are computed based of the differentially expressed
markers id.list
compared to the list truly differentially expressed
markers truth
:
False Discovery Rate (FDR)
False Negative Rate (FNR)
True Positive Rate (TPR)
False Positive Rate (FPR)
DE.statistics(markers, id.list, truth, selected.marker = NULL)
| markers | Vector of all markers considered in the analysis. |
|---|---|
| id.list | Vector of markers that are differentially expressed in a
data set --- typically in the data set |
| truth | Vector of genes that are (assumedly) truly differential
expressed, e.g. basen on a gold standard --- typically the data set
|
| selected.marker | optional Vector of a subset of |
A list of:
True positive Rate
False Positive Rate
False Discovery Rate
False Negative Rate
Both, id.list
and truth
are a subset of markers from
markers
.
DE.bench <- DE.voom(data.benchmark, data.group) DE.test <- DE.voom(data.test, data.group) stats <- DE.statistics(rownames(data.benchmark), DE.test$id.list, DE.bench$id.list) print(stats)#> $TPR #> [1] 0.4915254 #> #> $FPR #> [1] 0.04209446 #> #> $FDR #> [1] 0.5857143 #> #> $FNR #> [1] 0.5084746 #>


#include <windows.h>
Go to the source code of this file.
|
| enum | CrashProcessingCallbackStage { crash_rpt::BeforeSendReport,
crash_rpt::AfterSendReport
} |
| | Stages when crash processing callback called.
|
| |
| enum | CrashProcessingCallbackResult {
crash_rpt::DoDefaultActions,
crash_rpt::SkipSendReportReturnDefaultResult,
crash_rpt::ContinueExecution,
crash_rpt::ContinueSearch,
crash_rpt::ExecuteHandler
} |
| | Result code for crash processing callback.
|
| |
| enum | Result { crash_rpt::custom_data_collection::ShowUploadConfirmDialog,
crash_rpt::custom_data_collection::DoUpload,
crash_rpt::custom_data_collection::CancelUpload
} |
| | Result of custom data collection.
|
| |
| #define CRASHRPT_ENABLE_RELEASE_ASSERTS 1 |
To redefine C assert macro behavior define macro CRASHRPT_ENABLE_RELEASE_ASSERTS as 1 and include CrashRpt.h in each translation unit as soon as possible (precompiled header is the best place for that).
1 #define CRASHRPT_ENABLE_RELEASE_ASSERTS 1
When _DEBUG define is not defined (it is Release configuration) assert macro evaluates an expression and, when the result is false, sends report and continues execution. When _DEBUG define is defined (it is Debug configuration) assert macro works as standard assert macro from assert.h header.
- Note
- All assert calls before CrashRpt.h inclusion would work as standard asserts.
- See also
- crash_rpt::CrashRpt::ExceptionAssertionViolated crash_rpt::CrashRpt::SkipDoctorDump_SendAssertionViolated


The article for this week is \Greenhouse Effect and Climate Change\
The Greenhouse effect is the warming of the atmosphere due to the way the gases in the atmosphere balance the earth’s and the sun’s radiation. In a nutshell, the greenhouse effect has the following three steps:
The net effect is analogous to a car heating up in the parking lot. The layer of greenhouse gases in the atmosphere is like the windshield. It keeps the Earth warm.
Global warming is an important issue and the whole Earth climate is a complicated system. Nevertheless, the basic science behind global warming is simple physics—it is just the greenhouse effect.
Carbon dioxide is a greenhouse gas. The concentration of carbon dioxide in the atmosphere has been increasing steadily over the last 50 years (see the fig).
Over the same 50 years the average temperature of the Earth has increased by about 1 degree C.
Now, as we said above, the climate is a very complicated system subject to random fluctuations and variations. Just because the two graphs above look alike does not mean that one is the cause of the other.
Nevertheless many scientists have studied the question. The consensus from the IPCC (Intergovernmental Panel on Climate Change) is that
It is 90% likely that humans are responsible for at least some or possibly most of the observed global warming of the last 50 years.
This is a surprisingly low-key and restrained position. Most people think scientists are alarmist, but they tend to be very careful in stating their positions.
The article that you read referred to a warming plateau. This is the fact that from 2000 to 2010 the rise in temperature slowed down (it now seems to be back up).
Many critics of global warming use this warming plateau to show that the other side is wrong. This is an example of cherry-picking data. Cherry picking refers to the act of choosing data that you like and ignoring the data that you don't like. This is an unethical un-scientific behavior.
It is already a very hard exercise with many years of work and analysis by a whole community of scientists to reach the conclusion that global warming is real.
You may find when reading the news or in conversation someone who just looked at one part of a graph (the temperature graph over the last 10-15 years) and then decided that this means that scientists are wrong, but this is not good science.
Scientists that work on global warming know about the warming plateau. They don't cherry pick data; the warming plateau is included in their analysis. After including all the data (including years where temperature was stable or going down), climate scientists have still reached the conclusion that global warming is real and that
It is 90% likely that humans are responsible for at least some or possibly most of the observed global warming of the last 50 years.


Extensible Haskell front-end for the Programatica project
What is in this directory (pfe)
This directory contains modules implementing PFE, the Preliminary Front-End.
PFE provides the infrastructure to work with Haskell programs consisting of
a number of interdependent modules, stored in files. We use the term
project to denote a collection of Haskell modules that are to be
processed together by PFE.
PFE has built-in make(1)-like functionality: it
automatically processes files in the right order, and caches results between
runs to avoid reparsing and reanalyzing files that haven't changed.
Functionality
PFE provides the following functionality, which is available both in the
form of command line tools and as Haskell functions:
- Level 0
- Project management: creating a project, adding/removing files to
a project. Computing the module dependency graph. Various module level
queries.
- Level 1
- Computing some module properties that can be determined locally and that
does not require proper parsing.
- Level 2
- Analysis of import/export specifications, to determine what is in scope
on the top level of each module. This is based on the code decribed
in our paper
A Formal Specification
for the Haskell 98 Module System.
- Level 3
- Proper parsing of Haskell modules, taking fixity declarations into
account. The identifiers in the output of the proper parser are
decorated so that they are unique and you can tell what original entity
they refer to.
- Level 4
- Type checking. The type checker can output a syntax tree decorated with
type annotations. It can also perform the dictionary translation.
- Level 5
- Function level dependency graph. This is done after type checking, to
properly account for dependencies involving instance declarations.
(The module is called
PFEdeps
.)
- Chase (built on top of level 0)
- Import chasing. Searches for source files containing needed modules in
specified directories. This function assumes that a module
M
is stored in a file called M.hs
or M.lhs
.
(This is the only function of PFE that assumes a relation between file
names and module names.)
- HTML (built on top of level 3)
- Conversion to HTML, with highlighting and cross references.
Extensibility
PFE is designed to be extensible in several dimensions:
- Functionality
- It should be ease to create new command line tools that
inherits and extends the provided functionality.
- Language extensions.
- PFE is parameterized over the source language parser, so the source
language is not hardwired in PFE, but there are some restrictions:
- The type of the lexer is fixed and the parser is expected to
cooperate with the lexer to implement Haskell's layout conventions.
(See module
ParseMonad
.)
- The source file parser is expected to return something of
type
HsModuleI
i ds,
for some types i and ds.
(See module HsModule
.)
- The types returned by the parser are required to be instances
of a number of classes: a small number of instances are required
for level 0 functionality, more instances are required
for higher levels.
See ../property
for an example
of reusing PFE in an extended language.
- Monadic abstraction
- The PFE functions are operations in a monad, but the exact monad
type is left open. Code providing new functionality can use an
extended monad. The monad is constructed using
monad
transformers.
- Although various forms of IO are used by PFE, there are no
hardwired dependencies on the
IO
monad. Instead
we have defined classes of abstract IO operations
(see module AbstractIO
.)
and provide instances for the ordinary IO
monad and
some monad transformers. It should be possible to use PFE in
contexts where the standard monadic IO system is not directly
available (e.g., inside a Fudget).
Authors: TH
Contact: TH


The best MacBook Air deals of November 2019
Here's how to get your hands on a 2018 and 2019 MacBook Air model for the best price and how to get older MacBook Air models for even less money! Here are the best MacBook Air deals for November 2019
by Ashleigh MacroIf you're looking for a discount on the MacBook Air, you've come to the right place. We'll talk you though some of the best deals around, and explain whether they are really good deals, or just OK deals. We know exactly what the MacBook Air costs at Apple right now, so we know just how much of a discount you are getting - beware that because Apple recently discounted its MacBook Air, some deals aren't as good as resellers are making them out to be!
We also know how to tell which MacBook Air is being sold - and whether it is a current model, or an old model. So don't fall in to the trap of spending more than you need to. Read on...
The first thing you need to know is that at the end of 2018, Apple gave the MacBook Air a power boost, and, for first time since it launched 10 years previously, gave the much-loved Mac laptop a redesign. Then in July 2019 Apple made a slight change to the screen - adding True Tone, a technology that means that the colours and brightness can adjust depending on your surrounding light. Other than this change the 2018 and 2019 models are identical, the specs did not change when Apple updated the machines in July 2019. The price did change, however.
The other change in July 2019 was that Apple stopped selling the older MacBook Air - which used to cost £949 in the UK, or $999 in the US. We think that the older model was overpriced and didn't recommend buying one at Apple's price. However, there may still be a few good deals on that older model - we really wouldn't recommend spending more than £700 on it, though.
You can find out everything you need to know about the 2019 laptop in our MacBook Air review.
You can buy a MacBook Air directly from Apple here, but there are plenty of stores offering a discount on the new models so it's worth shopping around. In this article we'll tell you the best deals you can get on a new MacBook Air, as well as some great deals you can get on the older model. You'll also find some MacBook Pro and MacBook deals listed below as with a discount these might be a better offering than the MacBook Air is.
How much does the new MacBook Air cost?
When it launched in 2018 the MacBook Air was more expensive than the previous model was, starting at £1,199/$1,199. At the time Apple continued to sell the old 1.8GHz MacBook Air for £949. However, in 2019 Apple discontinued the £949 model and reduced the price of the new-style MacBook Air by £100.
This is the current line up:
- 1.6GHz, Dual-Core, 8th gen (3.6GHz Turbo Boost), 128GB: £1,099/$1,099
- 1.6GHz, Dual-Core, 8th gen (3.6GHz Turbo Boost), 256GB: £1,299/$1,299
These specs are exactly the same as the 2018 model, apart from the addition of True Tone in the display. Prices are down £100 per machine compared to the 2018 model.
It's not only the price of the standard model that has decreased. Apple also cut the price of some build-to-order options. For example, there is now the option of a 1TB SSD for £400/$400, rather than a 1.5TB SSD for £2,399/$2,399.
- 16GB memory: +£180/$180 (£1,579/$1,579)
- 512GB SSD storage: +£200/$200 (£1,599/$1,599)
- 1.5TB SSD storage: WAS +£1,000/$1,000 (£2,399/$2,399) NOW 1TB SSD +£400/$400
If you were to choose all the build-to-order options the top-spec model would cost £1,879, rather than £2,579 as it did previously.
You're here because you want to save even more money though, so read on to find the best deals!
Best MacBook Air Deals
You can browse through the best MacBook Air deals below. We also have deals for more MacBook Air as well as some other MacBook models further down in this article (in case you're not completely decided.)
MacBook Air 2019 model
Apple has a 'new' MacBook Air for 2019, but the only new thing about it is the introduction of True Tone to the screen (which means the screen can adjust to different lighting conditions) and a price drop from Apple. All the other specs are the same as the 2018 model. The MacBook Air price is now £100 less than it was, starting at £1,099.
Price-cuts on the new MacBook Air are already starting to arrive, check them out below.
| Retailer | Price | Delivery | |
| Price comparison from over 24,000 stores worldwide View more prices |
MacBook Air 2018 model
If you see a MacBook Air on sale it can be tricky to tell if it's the 2018 or 2019 model because the only difference is the addition of True Tone. Some deals may also look better than they are as the reseller isn't taking into account Apple's own price drop on the Air, which now starts at £1,099 rather than £1,199. However, if you find a good deal on the 2018 MacBook Air we recommend it, purely because it's practically identical to the 2019 model.
| Retailer | Price | Delivery | |
| Price comparison from over 24,000 stores worldwide View more prices |
MacBook Air 2017 model
The 2017 MacBook Air was still on sale from Apple until July 2019. You may still be able to find a deal on the old-style MacBook Air, although we emphasise that the model may officially be from 2017, but the processor is from 2015, so it's not a modern Mac - that processor will soon be five years old!
| Retailer | Price | Delivery | |
| Price comparison from over 24,000 stores worldwide View more prices |
Note: Our up-to-the-minute price-comparison tech isn’t supported on Google AMP pages and can be erroneously blocked by some ad blockers. If you don’t see a price comparison table above, please turn off your ad blocker and refresh the page (on desktop), or click here on mobile.
Where to buy the new MacBook Air
You can, of course, buy the new MacBook Air from Apple itself on its website here. But that’s not the only place it’s available. You'll also find the MacBook Air at these, and other, UK stores:
And in the US:
Best MacBook Air deals
With the price of a MacBook Air as sold by Apple in mind, take a look at the deals below to see just how much you could save on the MacBook Air and other MacBook models.
We'd also recommend taking a look at Apple's Refurbished Store for great MacBook Air deals. They're forever changing, but you can get a huge discount on products that you'd never be able to tell are refurbished.
You can find out more about buying a refurbished Mac here.
Students should also check the Apple Education Store, which you can find out more about here.
We can help you decide which MacBook is best for you in our MacBook buying guide.
1. Apple 15in MacBook Pro, 2.3GHz eight-core i9, 16GB RAM, 512GB (2019) [Amazon]
From: Amazon Was: £2,799 Now: £2,350 (£449 off mid-2019 price) View Deal
Save money on the top-of-the-range 2019 15in MacBook Pro with this Amazon deal (which actually comes from KRCS). That's an 8-core 2.3GHz i9 9th generation Intel processor!
Note that Apple put the price up by £100 back in July, so this is actually a better deal than it looks on Amazon. It's a great way to get a MacBook Pro with a very similar spec to the new 16in model for a lot less!
2. Apple 13in MacBook Pro, 2.4GHz, quad-core, 256GB, Silver (2019)
From: Amazon Was: £1,799 Now: £1,639 (£160 off) View Deal
This is 2019's 2.4GHz 13in MacBook Pro, it might only be a small boost to the processor speed, compared to the 2018 model, but this is still money off the newest version (and the deal is better than ever now that Apple's put up prices in the UK).
3. Apple 13in MacBook Pro, Touch Bar, 2.4GHz, quad-core, 256GB, Silver (2019)
From: Currys PC World Was: £1,799 Now: £1,639 (£160 off) View Deal
Here's a saving on the 2019 13in MacBook Pro with 2.4GHz Quad-core processor - it's the 256GB version. Apple's put the prices up in the UK by £50, so this saving is better than ever.
4. Apple 13in MacBook Air, 1.6GHz dual-core, 128GB (2019)
From: Currys PC World Was: £1,099 Now: £985 (£114 off) View Deal
You can get the 2019 MacBook Air for less than £1,000 with this Currys PC World deal.
5. Apple 13in MacBook Pro, 2.4GHz, quad-core, 256GB, Space Grey (2019)
From: KRCS Was: £1,799.00 Now: £1,691.06 (£108.94 off) View Deal
This is the entry-level configuration for the 2019 13in MacBook Pro with Touch Bar (that now costs £1,799 from Apple, up £100 prior to July 2019). KRCS has a discount on the model. This is the Space Grey configuration, but you can also get the Silver model here.
6. Apple 15in MacBook Pro, 2.3GHz eight-core i9, 16GB RAM, 512GB (2019) [Laptops Direct]
From: Laptops Direct Was: £2,799 Now: £2,467.97 (£331.03 off) View Deal
Laptops Direct has money off the 2019 15in MacBook Pro with Intel's 8-core 2.3GHz i9 processor. That's what was the top of the range model for not much more than the entry-level 16in MacBook Pro.
7. Apple 13in MacBook Air, 1.6GHz dual-core, 256GB (2019) [KRCS]
From: KRCS Was: £1,299 Now: £1,221.06 (£77.94 off) View Deal
You can save money on the 2019 MacBook Air with 256GB storage, available at a discount from KRCS now (the discount used to be bigger though).
8. Apple 13in MacBook Air, 1.6GHz dual-core, 128GB (2019) [KRCS]
From: KRCS Was: £1,099 Now: £1,033.06 (£65.94 off) View Deal
Apple reseller KRCS is selling the new MacBook Air with a discount, this is the Silver model, other models are also available. (The discount used to be bigger though, so maybe wait a couple of weeks).
9. Apple 13in MacBook Air, 1.6GHz dual-core, 128GB (2019) [John Lewis]
From: John Lewis Was: £1,099 Now: £1,049 (£50 off) View Deal
John Lewis is offering money off the 2019 MacBook Air with this deal. You can get money off the Gold or Silver model, the Space Grey edition is more expensive.
10. Apple 13in MacBook Air, 1.6GHz dual-core, 128GB (2018) [VERY]
From: Very Was: £1,099 Now: £1,079 (£20 off new Apple price - 2018 model) View Deal
Very has a slight discount on the 2018 MacBook Air (same spec as the 2019 model aside from True Tone). But as with the other Air deals, now that Apple's reduced pricing itself this deal's not as good as it was.
11. Apple Refurbished Mac Store (Discounted iMacs, MacBooks and more)
From: Apple Now: Up to £300 off View Deal
You can get a Mac from Apple at much lower prices if you buy from the Refurbished Store. Apple will have thoroughly tested the model and will offer you a full warranty so it can be a great way to get a good deal. Find out more about Refurbished Macs here.


Create a TV program
My Programs
Create a TV program
Default theme
Normal display screen, not bring to fullscreen automatically
Fullscreen
Play video at startup and bring to fullscreen after 3 seconds.
Image URL:
Title:
Author:
Description:
Video Source:
Create


{% extends "layout.main.html" %} {% block content %}
Overview of generated credentials to be used for accessing your localshop. Disabled credentials will receive a 403 error.
Credentials are simple UUIDs that you can use as Basic Auth credentials when using your localshop via a pip requirement file. Simply specify the index with
pip install -i http://<access key>:<secret_key>@{{ current_url }}/simple/ ...
Warning: Please be aware that those credentials are transmitted unencrypted over http unless you setup your localshop instance to run on a server that serves pages via https.
| Access Key | Secret Key | Disabled | Actions |
|---|---|---|---|
| {{ credential.access_key }} | show | {{ credential.deactivated|default:'n/a' }} | {% if credential.deactivated %} enable {% else %} disable {% endif %} | delete |


{include file="../application/admin/common/layout.html" /}
{include file="../application/admin/common/header.html" /} {include file="../application/admin/common/menu.html" /}
标签列表
添加标签
{volist name="list" id="vo"}
{$vo.tagname}
{/volist}
{include file="../application/admin/common/footer.html" /}
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WITNESS LIST Public Education Committee April 22, 2003-2:00P HB 22 For: Hollingsworth, Lonnie (Texas Classroom Teachers Association) Newman, Anne (Self and Texas Justice Foundation) Whitsett, Jo-Hannah (Association of Texas Professional Educators) Against: Beneski, Amy (Texas Association of School Administrators) Carpenter, Bill (Houston ISD) DeLeon, Marty (Texas Association of School Boards) HB 173 For: Kester, Steve (American Electronics Association) Whitsett, Jo-Hannah (Association of Texas Professional Educators) On: Smisko, Ann (Texas Education Agency) HB 442 For: Boyd, Polly J. (Self) On: Anderson, David (Texas Education Agency) HB 469 On: Anderson, David (Texas Education Ageny) HB 511 For: Sabedra, Rosalinda (Edgewood I.S.D. / Dr. Luis Gonzales, Superintendent of Education) HB 552 For: Bacon, Tim (TSTA) Beneski, Amy (Texas Association of School Administrators) Harris, Dwight (Texas Federation of Teachers) Hollingsworth, Lonnie (Texas Classroom Teachers Association) Whitsett, JoHannah (Association of Texas Professional Educators) HB 561 For: Bacon, Tim (TSTA) HB 607 Against: Smoot, Samantha (Texas Freedom Network) HB 612 For: Hollingsworth, Lonnie (Texas Classroom Teachers Association) Sabedra, Rosalinda (Edgewood I.S.D / Dr. Luis Gonzales, Superintendent of Education) Against: Beneski, Amy (Texas Association of School Administrators) HB 773 For: Newman, Anne (Self and Texas Justice Foundation) Against: DeLeon, Marty (TASB) HB 774 For: Bacon, Tim (TSTA) Lambert, Kay (Advocacy, Inc.) Whitsett, JoHannah (Association of Texas Professional Educators) Against: Beneski, Amy (Texas Association of School Administrators) DeLeon, Marty (Texas Association of School Boards) Harris, Dwight (Texas Federation of Teachers) HB 860 For: Bacon, Tim (TSTA) Hollingsworth, Lonnie (Texas Classroom Teachers Association) Whitsett, JoHannah (Association of Texas Professional Educators) Against: Hodgins, David (TASB/TASA) On: Raab, Ted Melina (Texas Federation of Teachers) HB 1070 For: Beinke, David (Self) Breeding, John (Self and Texans for Safe Education) Davis, Edmund (Self) Prough, Andrew (Citizens Commission on Human Rights) Against: Bacon, Tim (TSTA) DeLeon, Marty (Texas Association of School Boards) Hollingsworth, Lonnie (Texas Classroom Teachers Association) Raab, Ted Melina (Texas Federation of Teachers) Whitsett, JoHannah (Association of Texas Professional Educators) On: Jackson, Mary (Texas School Nurses Organization) HB 1168 For: DeLeon, Marty (Texas Association of School Boards) Against: Bacon, Tim (TSTA) Hollingsworth, Lonnie (Texas Classroom Teachers Association) Raab, Ted Melina (Texas Federation of Teachers) Whitsett, JoHannah (Association of Texas Professional Educators) HB 1172 For: Ames, Bill (Self and Citizens For A Sound Economy) Newman, Anne (Self and Texas Justice Foundation) Against: Sanchez, Joe (M.A.L.D.E.F.) Smoot, Samantha (Texas Freedom Network) Whitsett, Jo-Hannah (Association of Texas Professional Educators) On: Anderson, David (Texas Education Agency) Neavel, Richard (Self) HB 1222 For: Douglass, Cathy (Texas Association of School Boards) Soehnge, Karen (Texas Association of School Administrators) Thompson, David (Self) HB 1314 For: Boyd, Polly J. (Self) Eaton, Holly (Texas Classroom Teachers Association) Whitsett, Jo-Hannah (Association of Texas Professional Educators) On: Anderson, David (Texas Education Agency) HB 1504 For: Hollingsworth, Lonnie (Texas Classroom Teachers Association) Jackson, Mary (Texas School Nurse Organization) Latham, Jeffery W (Self and Traumatec, Inc.) Myers, Samuel (Self) Raab, Ted Melina (Texas Federation of Teachers) Tounget, Craig (Texas PTA) Whitsett, JoHannah (Association of Texas Professional Educators) HB 1857 For: Ames, Bill (Self) Hollingsworth, Lonnie (Texas Classroom Teachers Association) Newman, Anne (Self and Texas Justice Foundation) Schlueter, Linda (Texas Justice Foundation) Shonebarger, Paul (Self) Trotter, Richard Clayton (Self) HB 1927 For: De La Garza, Veronica (American Diabetes Association) Haley, Judith L (Texas Diabetes Council) Whitsett, JoHannah (Association of Texas Professional Educators) Against: Bacon, Tim (TSTA) Hollingsworth, Lonnie (Texas Classroom Teachers Association) Raab, Ted Melina (Texas Federation of Teachers) On: Ferry, Lt Col Robert (Self) Jackson, Mary (Texas School Nurses Organization) Ozias, Janice (Texas Diabetes Council & Texas Department of Health) HB 1988 For: Eaton, Holly (Texas Classroom Teachers Association) Whitsett, Jo-Hannah (Association of Texas Professional Educators) On: Smisko, Ann (Texas Education Agency) HB 2102 On: Anderson, David (Texas Education Agency) HB 2103 For: Bacon, Tim (TSTA) Beneski, Amy (Texas Association of School Administrators) DeLeon, Marty (TASB) Eckhart, Harley (Texas Elementary Principals & Supervisors Association) Hollingsworth, Lonnie (Texas Classroom Teachers Association) Whitsett, JoHannah (Association of Texas Professional Educators) On: Dawson, Robert (Self) HB 2108 For: Allamon, Dana (Self and Family & Consumer Sciences Teachers Association of Texas) Green, Terry (Family and Consumer Sciences Teachers Association of Texas) Hensley, Clayton (Self) Holcombe, Linda (Texas Industrial Vocational Association) Ogden, Michael (Cleveland High School) Whitsett, JoHannah (Association of Texas Professional Educators) Young, Gerald (Vocational Agriculture Teachers Association) HB 2167 For: Carpenter, Bill (Houston I.S.D.) Douglass, Cathy (Texas Association of School Boards) Eckhart, Harley (Texas Elementary Principals & Supervisors Association) Leyden, Tom (Texas Association of Secondary School Principals) Soehnge, Karen (Texas Association of School Administrators) Whitsett, Jo-Hannah (Association of Texas Professional Educators) On: Bacon, Tim (TSTA) Eaton, Holly (Texas Classroom Teachers Association) Raab, Ted Melina (Texas Federation of Teachers) HB 2218 For: Williams, Ellen (Houston ISD) HB 2276 For: Bacon, Tim (TSTA) Raab, Ted Melina (Texas Federation of Teachers) HB 2449 For: Nava, Lionel (YISD & Parents of the R.H.S. Community) On: Anderson, David (Texas Education Agency) HB 2527 For: Carpenter, Bill (Houston ISD) Hollingsworth, Lonnie (Texas Classroom Teachers Association) James, Janelle (Houston ISD) Williams, Ellen (Houston ISD) Against: Bacon, Tim (TSTA) Raab, Ted Melina (Texas Federation of Teachers) Whitsett, JoHannah (Association of Texas Professional Educators) HB 2528 For: Douglass, Cathy (Texas Association of School Boards) Thompson, David (Texas Association of School Administrators) HB 2683 For: Beneski, Amy (Texas Association of School Administrators) Brown, Cindy (Northwest ISD) Criswell, Donna (Northwest ISD) DeLeon, Marty (TASB) Volding, Jeffrey (Northwest ISD) Whitsett, JoHannah (Association of Texas Professional Educators) HB 2707 For: Hodgins, David (TCAN, TASB, & TASA) HB 2822 For: Carpenter, Bill (Houston I.S.D.) DeLeon, Michael (Texas Association of School Administrators) Douglass, Cathy (Texas Association of School Board) Johnson, Georgia (Self) Norrell, Carrol (Goliad Special Education Cooperative) Price, Dennis (Self and Amarillo I.S.D.) Soehnge, Karen (Texas Association of School Administrators) HB 2823 For: DeLeon, Marty (TASB) DeLeon, Michael (Texas Association of School Administrators) Lambert, Kay (Advocacy, Inc.) Statman, Rona (The Arc of Texas) HB 2831 For: Ames, Bill (Self) Crager, Vickie M.W. (Self) Newman, Anne (Self and Texas Justice Foundation) Schlueter, Linda (Texas Justice Foundation) Shonebarger, Paul (Self) Against: Green, Dorcas (Texas Assoc. School Boards & Texas Assoc School Admin) Hollingsworth, Lonnie (Texas Classroom Teachers) Raab, Ted Melina (Texas Federation of Teachers) Whitsett, JoHannah (Association of Texas Professional Educators) HB 2908 For: Bond, Nathan (Texas Foreign Language Association) Coachman, Frank (TX Assc. for Health, Physical Education, Recreation, and Dance) Cornwell, Betsy (TX Educational Theatre Assc., and Center for Educator Development in the Fine Arts) Eaton, Holly (Texas Classroom Teachers Association) Eckhart, Harley (Texas Elementary Principals & Supervisors Association) Floyd, Robert (TX Music Educators Assc., and Texas Coalition for Quality Arts Education) Leyden, Tom (Texas Association of Secondary School Principals) Marstaller, Kristen (Texas Art Education Association) May, John (Texas Music Administrators Conference) Whitsett, Jo-Hannah (Association of Texas Professional Educators) HB 3289 For: Carr, Mike (Self) Wadsworth, Keith (Lago Vista Taxpayers Organized for Fiscal and Academic Responsibility) On: Winsoski, Joe (Texas Education Agency) HB 3329 Against: Raab, Ted Melina (Texas Federation of Teachers) HB 3458 For: Pewitt, Bill (Texas Licensed Child Care Association) Whitsett, Jo-Hannah (Association of Texas Professional Educators) HJR 34 Against: Smoot, Samantha (Texas Freedom Network)


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|
IO-Link Shield Library
|
**** Data types ************************************************************ More...
#include <Max14819.h>
Public Member Functions | |
| Max14819 () | |
| Max14819 (DriverSelect driver) | |
| Initialize the communication interface for the max14819. More... | |
| ~Max14819 () | |
| Reset the communication interface for the max14819. More... | |
| uint8_t | begin (PortSelect port) |
| Initialize the communication interface for the max14819 and set the default configuration of the max14819. Enables the L+ mosfet to power the device. Remember that driver01 must be initilized to use driver23 because the daisychaining of the clock. \type local. More... | |
| uint8_t | end (PortSelect port) |
| Deinitialize the communication interface for the max14819. More... | |
| uint8_t | reset (void) |
| reset the whole max14819 chip More... | |
| uint8_t | reset (PortSelect port) |
| Reset port A or B of max14819 chip. More... | |
| uint8_t | readStatus (PortSelect port) |
| Init peripheries and starts the tasks. More... | |
| uint32_t | wakeUpRequest (PortSelect port) |
| Generates wakeup impuls and handles communication speed. More... | |
| uint16_t | readRegister (uint8_t reg) |
| read register from max14819 More... | |
| uint8_t | writeRegister (uint8_t reg, uint8_t data) |
| write register from max14819 More... | |
| uint8_t | writeData (uint8_t mc, uint8_t data, uint8_t sizeAnswer, uint8_t mSeqType, PortSelect port) |
| send data to device More... | |
| uint8_t | writeData (uint8_t mc, uint8_t sizeData, uint8_t *pData, uint8_t sizeAnswer, uint8_t mSeqType, PortSelect port) |
| send data to device More... | |
| uint8_t | readData (uint8_t *pData, uint8_t sizeData, PortSelect port) |
| readMessage from device More... | |
| uint8_t | enableCyclicSend (uint8_t mc, uint8_t sizeData, uint8_t *pData, uint8_t sizeAnswer, uint8_t mSeqType, uint16_t cycleTime, PortSelect port) |
| Set master command, which will be send periodically. Set cycleTime to 0 to use the minCycleTime from the device. More... | |
| uint8_t | disableCyclicSend (PortSelect port) |
| Disable cyclic send and set the cyclic send timer to minCycleTime. More... | |
| uint8_t | enableLedControl (PortSelect port) |
| Enables to controll the two leds portXRxReady, portXRxError with SPI. Interrupts on these pins are disabled. More... | |
| uint8_t | disableLedControl (PortSelect port) |
| Disables the controll of the two leds portXRxReady, portXRxError with SPI. Interrupts on these pins are enabled. More... | |
| uint8_t | writeLed (uint8_t led, uint8_t state) |
| Write Leds from MAX14819 via SPI. More... | |
| uint8_t | writeDIConfig (PortSelect port, uint8_t currentType, uint8_t threshold, uint8_t filter) |
| Initialize the DI input. More... | |
| uint8_t | readDIConfig (PortSelect port) |
| Read the configuration of the DI current control. More... | |
| uint8_t | writeCQ (PortSelect port, uint8_t value) |
| Drive the CQ to 0 V or 24 V. More... | |
| uint8_t | readCQ (PortSelect port) |
| Read the level of the CQ line. More... | |
| uint8_t | readDI (PortSelect port) |
| Read the level of the DI line. More... | |
Public Attributes | |
| uint8_t | comSpeedRegA |
| uint8_t | comSpeedRegB |
Private Attributes | |
| DriverSelect | driver_ |
| uint8_t | isInitPortA_ |
| uint8_t | isInitPortB_ |
| uint8_t | isLedCtrlPortAEn_ |
| uint8_t | isLedCtrlPortBEn_ |
**** Data types ************************************************************
**** Function prototypes *************************************************** **** Data ****************************************************************** **** Implementation ********************************************************
| max14819::Max14819::Max14819 | ( | ) |
| Max14819::Max14819 | ( | DriverSelect | driver | ) |
Initialize the communication interface for the max14819.
function : max14819() constructor
\type local
| [in] | driver | DRIVER01 or DRIVER23 |
| Max14819::~Max14819 | ( | ) |
Reset the communication interface for the max14819.
function : ~max14819() destructor
\type local
| [in] | driver | DRIVER01 or DRIVER23 |
| uint8_t Max14819::begin | ( | PortSelect | port | ) |
Initialize the communication interface for the max14819 and set the default configuration of the max14819. Enables the L+ mosfet to power the device. Remember that driver01 must be initilized to use driver23 because the daisychaining of the clock. \type local.
function : begin
*
| [in] | port | PORTA or PORTB |
| uint8_t Max14819::disableCyclicSend | ( | PortSelect | port | ) |
Disable cyclic send and set the cyclic send timer to minCycleTime.
function : disableCyclicSend
\type local
| [in] | port | PORTA or PORTB |
| uint8_t Max14819::disableLedControl | ( | PortSelect | port | ) |
Disables the controll of the two leds portXRxReady, portXRxError with SPI. Interrupts on these pins are enabled.
function : disableLedControl
\type local
| [in] | port | PORTA or PORTB |
| uint8_t Max14819::enableCyclicSend | ( | uint8_t | mc, |
| uint8_t | sizeData, | ||
| uint8_t * | pData, | ||
| uint8_t | sizeAnswer, | ||
| uint8_t | mSeqType, | ||
| uint16_t | cycleTime, | ||
| PortSelect | port | ||
| ) |
Set master command, which will be send periodically. Set cycleTime to 0 to use the minCycleTime from the device.
function : enableCyclicSend
\type local
| [in] | mc | master command, only one message possible |
| [in] | sizeData | size in byte of data |
| [in] | *pData | pointer to data |
| [in] | sizeAnswer | size in byte of answer |
| [in] | mSeqType | M-seqence type |
| [in] | minCycleTime | in a multiple of 0.1ms, min 0.4ms, max 132.8ms |
| [in] | port | port to send data |
| uint8_t Max14819::enableLedControl | ( | PortSelect | port | ) |
Enables to controll the two leds portXRxReady, portXRxError with SPI. Interrupts on these pins are disabled.
function : enableLedControl
\type local
| [in] | port | PORTA or PORTB |
| uint8_t Max14819::end | ( | PortSelect | port | ) |
Deinitialize the communication interface for the max14819.
function : end
\type local
| [in] | port | PORTA or PORTB |
| uint8_t Max14819::readCQ | ( | PortSelect | port | ) |
Read the level of the CQ line.
function : readCQ
| [in] | port | PORTA or PORTB |
| uint8_t Max14819::readData | ( | uint8_t * | pData, |
| uint8_t | sizeData, | ||
| PortSelect | port | ||
| ) |
readMessage from device
function : readData
\type local
| [in] | *pData | pointer to data |
| [in] | sizeData | size of data |
| [in] | port | driver PORTA or PORTB |
| uint8_t Max14819::readDI | ( | PortSelect | port | ) |
Read the level of the DI line.
function : readDI
| [in] | port | PORTA or PORTB |
| uint8_t Max14819::readDIConfig | ( | PortSelect | port | ) |
Read the configuration of the DI current control.
function : readDIConfig
| [in] | port | PORTA or PORTB |
| uint16_t Max14819::readRegister | ( | uint8_t | reg | ) |
read register from max14819
function : readRegister
\type local
| [in] | reg | registeraddress to read |
| uint8_t Max14819::readStatus | ( | PortSelect | port | ) |
Init peripheries and starts the tasks.
function : readStatus
\type local
| [in] | port |
| uint8_t Max14819::reset | ( | void | ) |
reset the whole max14819 chip
function : reset
\type local
| [in] | void |
| uint8_t Max14819::reset | ( | PortSelect | port | ) |
Reset port A or B of max14819 chip.
function : reset
\type local
| [in] | port | PORTA or PORTB |
| uint32_t Max14819::wakeUpRequest | ( | PortSelect | port | ) |
Generates wakeup impuls and handles communication speed.
function : wakeUpRequest
\type local
| [in] | port | PORTA or PORTB |
| uint8_t Max14819::writeCQ | ( | PortSelect | port, |
| uint8_t | value | ||
| ) |
Drive the CQ to 0 V or 24 V.
function : writeCQ
| [in] | port | PORTA or PORTB |
| [in] | value | HIGH or LOW |
| uint8_t Max14819::writeData | ( | uint8_t | mc, |
| uint8_t | data, | ||
| uint8_t | sizeAnswer, | ||
| uint8_t | mSeqType, | ||
| PortSelect | port | ||
| ) |
send data to device
function : writeData
\type local
| [in] | mc | master command |
| [in] | sizeData | size in Byte of data |
| [in] | *pData | pointer to data |
| [in] | sizeAnswer | size in byte of answer |
| [in] | mSeqType | M-seqence type |
| [in] | port | port to send data |
| uint8_t Max14819::writeData | ( | uint8_t | mc, |
| uint8_t | sizeData, | ||
| uint8_t * | pData, | ||
| uint8_t | sizeAnswer, | ||
| uint8_t | mSeqType, | ||
| PortSelect | port | ||
| ) |
send data to device
function : writeData
\type local
| [in] | uint8_t | mc master command |
| [in] | sizeData | size in Byte of data |
| [in] | *pData | pointer to data |
| [in] | sizeAnswer | size in byte of answer |
| [in] | mSeqType | M-seqence type |
| [in] | port | port to send data |
| uint8_t Max14819::writeDIConfig | ( | PortSelect | port, |
| uint8_t | currentType, | ||
| uint8_t | threshold, | ||
| uint8_t | filter | ||
| ) |
Initialize the DI input.
function : writeDIConfig
| [in] | port | PORTA or PORTB |
| [in] | currentType | CURRENT_SOURCE or CURRENT_SINK or CURRENT_DISABLE |
| [in] | threshold | THRSLD_TYPE1 or THRSLD_TYPE2 |
| [in] | filter | FILTER_EN or FILTER_DIS |
| uint8_t Max14819::writeLed | ( | uint8_t | led, |
| uint8_t | state | ||
| ) |
Write Leds from MAX14819 via SPI.
function : writeLed
\type local
| [in] | led | |
| [in] | state | LED_ON (1) or LED_OFF (0) |
| uint8_t Max14819::writeRegister | ( | uint8_t | reg, |
| uint8_t | data | ||
| ) |
write register from max14819
function : writeRegister
\type local
| [in] | reg | register address |
| [in] | data | byte to write |
| uint8_t max14819::Max14819::comSpeedRegA |
| uint8_t max14819::Max14819::comSpeedRegB |
|
private |
|
private |
|
private |
|
private |
|
private |


Data Fields | |
| u32 | source_l |
| u32 | source_h |
| u32 | dest_addr_l |
| u32 | dest_addr_h |
| u32 | next_desc_addr_l |
| u32 | next_desc_addr_h |
| u32 | byte_to_transfer |
| u32 | dmaDescField |
DMA Descriptor See Table 23-9. DMA Descriptor Structure of chapiter 23. Scatter-Gather DMA Controller Core or Table 2-1: DMA Descriptor Field Description The SGDMA is not yet used SpecsV2
Specifies the number of bytes that are successfully transferred by the core. This field is updated after the core processes a descriptor.
reserved (padding)
Specifies the address to which data should be written. This address is set to 0 if the output interface is an Avalon-ST interface.
values of :desc_control desc_status actual_bytes_transferred
reserved (padding)
Specifies the number of bytes to transfer. If this field is 0, the SG-DMA controller core continues transferring data until it encounters an EOP.
reserved (padding)
Specifies the address of data to be read. This address is set to 0 if the input interface is an Avalon-ST interface.


Blaze engulfs student accommodation building in Bolton – video
by As creditedA fire engulfed a student accommodation building in Bolton on Friday evening. Images posted on social media showed firefighters tackling flames coming out of the windows on the top floors of a building known as the Cube on Bradshawgate. Two people were treated by paramedics at the scene, including one person who was rescued by crews using an aerial platform


| Name: ms.anusha | Reg No: 7-6smmhc18 |
|---|---|
| Age / Sex:27/f | Contact No:8095316293 |
| Marital Status:single | Date:16/6/18 |
Occupation:hr in company datamatrix. Qual: mba. |
Dr. pjfp |
Address:in blore since -2014. Native of atp. |
DIAGNOSIS- |
Acne frm 18 months. On allo rx.
Had disc prolapse 2016 joined work in blore after that had low bck pain and then diagnosed with this. Took oral medicines and physio after which pimples started.
Allo doc said pcos in the initial stges.
Heavy hairfall since 2-3 months. Allo doc dermatologist said its bcoz of b12 deficiency.

Past h/o:
Chicken pox 4th class.
Personal h/o:
Veg by preference but actually non veg in family.
Thirst: less. Depends on climate to drink cold or normal water.
App: less app b4 now a days only feels more hungry.
Bowel n micturition normal.
Sweats less. Oily skin.
Sleep: wavers smtimes good not so good as her mood. 7 hours /day.
 Feels scared. Then in sleep only shouts.
Family h/o:
Dad: bp, dm 57 yrs.
Younger bro: jaundice, dengue 22 yrs.
Pgf: died of throat ca.
Mgf: died due to kidney pbm.
Mother: 51 yrs joint pain in legs.
Headache if she thinks a lot about her situation.  Shdnt think tht she is weak.
Cant stay alone. Will think about her hurts and be sad.
Wants moderate temp.
Likes things to be in order. Likes chocolates ice creams sweets, fruits, fruit juice, salads. Cant tolerate too much hot also. Better cold things .use to like soda till 2 years before. After ill health started she stopped liking all n more on healthy food. Likes lemon soda or sprite tht too occasional. Likes nature more.
Rx:
Nat mur 200 – 1 dose .
Rub 15 days.
Apis 30 pills – 4-4-4-4
30/6/18: LMP: 23.5.18
NOT MANY CHANGES. NO INC ALSO. BEFORE USE TO GET BIG
RX:
PULSATILLA 200 – 4-4-4-4.
RUB 15 – 1 DOSE NT B.FOOD
14/7/18: PIMPLES NO CHANGE. MENTALLY ABLE TO BE STABLE. NOT TAKING ALL PROBLEMS OT MIND. LMP: 30/6/18.
KALI BROM 30 – 4-4—4-4
BERB AQ – 10-10-10-10 DROPS A/FOOD.
PULSATILLA 1M – 1 DOSE.
18/8/18: forhead reduced a lot.
Rx:
Thuja 1m – 3 doses weekly b/food.
Kali brom 200 – 4-4-4-4
Pulsatilla 200 – 7 doses – alternate 1 dose b/food. Mng.
Berb aq Q – 10-10-10 a/food with water and 10 drops in 50ml water and apply on affected areas.


IndexedDB Settings example with MCW
Using the Dexie.js library
Open the Dev Tools Application tab to see the entries; you should also see the item names in the console tab.
Open the Dev Tools Application tab to see the entries; you should also see the item names in the console tab.


"x" "1" "KONO,M, YOSHIDA,Y, ITAYA,Y, SHIMOBO,K, YOSHIKAWA,K, TERASHITA,T ANDSHISHIYAMA,J, ANTIMICROBIAL ACTIVITY AND MUTAGENICITY OF ALLYL ISOTHIOCYANATESAND SEVERAL ESSENTIAL OILS FROM SPICES, KINKI DAIGAKU N __ OGAKUBU KIYO 28:11-19,1995"


Governance¶
This document outlines the policies and procedures that manage the conda-forge community. This document recognizes that, while packaging is deeply important to all of us, conda-forge is an all-volunteer organization. Members of the core, any team, or external contributors choose to participate and may choose to leave at any time for any reason or for no reason. We deeply appreciate all good faith contributions.
Code of Conduct¶
Conda-forge adheres to the NumFOCUS Code of Conduct.
Teams & Roles¶
Here are defined the primary teams participating in conda-forge activities.
core: The core team is the governing body over the entire conda-forge organization. Members of the core team have full rights over all conda-forge repositories. Members of core are the face of the project, and are responsible for officially interfacing with external communities, organizations, non-profits, and companies. The core team may create new sub-teams, as appropriate. Each member of core is entitled to one vote on all elected matters.
staged-recipes: The staged-recipes team administers the staged-recipes repository and is responsible for the review and creation of new feedstocks.
maintainers: A maintainer is an individual responsible for the management of one or more feedstock repositories and packages. Maintainers have the ability to merge pull requests into the feedstock of only the packages they maintain.
external contributors: This group encompasses all others who are not on core, part of staged-recipes, or maintainers. This includes first-time contributors, collaborators, and funders. They have no special rights within the conda-forge organization itself.
emeritus-core: Core members that are inactive (commits, GitHub comments/issues/reviews, dev meetings and voting on polls) in the past six months will be asked if they want to become emeritus-core developers. Any core member can also request to become emeritus if they wish to do so (e.g. taking a sabbatical or long vacation). Emeritus core members can still vote and be back to active core anytime, the only difference is that emeritus-core will not count as the total core members when computing the necessary votes a poll needs to pass. The
core.csv
list should be updated when change in the status of a member occurs.
Sub-Teams¶
The core team may elect to create new sub-teams for managing the daily business of the organization. While sub-teams may have non-core members, every sub-team must have at least one core team member at all times. If a sub-team fails to have a core team member for more than 1 week, that team is considered to be dissolved. A new sub-team would need to be established by the core in order to reinstate the activity.
Sub-teams have a charter that is either dynamic or static.
A dynamic charter means that the sub-team is self-organizing, with respect to its own internal policies, procedures, and membership. A sub-team may choose to modify its membership independent of the core team. For example, a Google Summer of Code team could be a good candidate for a dynamic charter. Alternatively, language-based maintenance teams also have a dynamic charter.
A static charter means that all membership decisions and non-trivial policies changes must be approved by the core team. For example, a finance team may require a static charter.
All sub-teams must adhere to the governance, policies, and procedures of conda-forge at all times.
Voting¶
This section presents descriptions and criteria for voting items in the conda-forge community. The core team is the only team with voting rights. Members of core may also call a vote on any topic. The restrictions on calling a vote are as follows:
There must only be one vote active on a particular item at any time.
The act of calling for a vote cannot itself violate the code of conduct. For example, Sam repeatedly called for votes immediately after a previous vote failed to achieve Sam’s result. Sam is attempting to bully other members of core into agreeing, and is thus violating the code of conduct.
Voting yes moves the proposal forward; voting no is the only way to express opposition to the proposal; not voting is discouraged, but non-votes do not count as “no”.
There should always be an option to abstain from voting.
Voting items are labeled as either standard or sensitive. Standard items are ones where public record and discourse is preferable. Sensitive voting items are ones where the results of the vote should remain private to the voters after the vote has occurred. Sensitive votes should take place on a secure anonymous voting platform in order to retain election integrity and anonymity. (We have used Polys and the Helios voting system, but are open to any secure, anonymous system.) The email capability of your chosen voting platform should be used for sending voting invitations and reminders, and you should use the email list from https://github.com/conda-forge/conda-forge.github.io/blob/master/src/core.csv as the authoritative list of emails to use.
The default voting period is 1 week (7 days). This may be modified at the time when a vote is called, but may never be less than 24 hrs.
Additional requirements may apply in case low turnouts have to be handled, see “Quorum” below.
To call for a standard vote, here is a template PR comment:
@conda-forge/core
This PR falls under the {policy} policy, please vote and/or comment on this PR.
This PR needs {policy_percent} of core to vote yea to pass.
To vote please leave Approve (yea) or Request Changes (nay) reviews.
If you would like changes to the current language please leave a comment or push to this branch.
This vote will end on {date}.
https://github.com/conda-forge/conda-forge.github.io/tree/master/src/vote-results
Each vote should be its own file. The filename should reflect the topic and the date that the vote opened. The file should contain at least:
vote description
vote policy
vote totals
Poll open and close dates
If a vote has “timed out,” as described in “Quorum,” the documentation regarding notification records should also be in this file.
fraction who vote affirmatively on the issue. For example, in a vote requiring 50%, with 18 active core members, at least 9 must vote; if 9 vote, there must 5 affirmative votes. If 13 members vote, 7 must be affirmative.
Because everyone is busy and it is difficult sometimes to get quorum, votes not achieving quorum will eventually time out on their set end date. When this happens, the current participation level is taken for what it is, and the percentage of affirmative votes is calculated from whatever the vote total is at that time. In order for a timeout to occur, the vote must have:
been open for at least 2 weeks
been presented and discussed at a Core team meeting
been advertised on at least 3 separate occasions on the gitter core channel (beginning of voting period, middle, and one day prior to proposed timeout)
been sent to core members via email. Email reminders must have been sent similarly to the gitter core channel: at least 3 times, occurring as beginning of voting period, middle, and one day prior to proposed timeout.
Extending the above example, if 9 people are required for a quorum, but only 7 have voted, those 7 votes can form the basis of a completed vote after the above conditions are met. 4 votes within those 7 would be needed to pass the vote.
To post a timeout reminder, here is a template comment:
@conda-forge/core This vote falls under the {policy} policy, please vote and/or comment on this PR. This vote needs {policy_percent} of core to vote yea to pass. This vote presently has {current_voters}, and needs {policy_percent * core - current_voters} more for quorum. It is proposed that this vote will time out and be evaluated with the current votes in {days}, on {date}. To vote please leave Approve (yea) or Request Changes (nay) reviews.
To declare a standard vote “timed out,” the person making such a declaration must post a pull-request adding a vote record to the https://github.com/conda-forge/conda-forge.github.io/tree/master/src/vote-results folder. The declaration PR should be merged by the first core member who is available to verify that the requirements for the timeout have been met, based on their own personal records.
- CFEP Approval
When ready, the proposer may call for a vote on an existing conda-forge enhancement proposal (CFEP). This requires a super-majority (60%) to pass so that the decision to accept the CFEP is unequivocable and we have ensured that consensus has been reached.
Standard
60% Majority to pass
- Nominate new member of staged-recipes
The proposer must provide a brief justification as to why the new member is desirable or needed.
Sensitive
50% Majority to pass
- Nominate new member of core
The proposer must provide a sufficient justification as to why the nominee should be welcomed into core. Prior service to the community, including but not limited to: serving as a staged-recipes reviewer, working on critical conda-forge infrastructure, and helping to bridge disparate communities are an important part of the nomination process.
Sensitive
66.7% Majority to pass
- Sub-team Formation
Proposers must specify the name, role & responsibility, members, and charter (dynamic or static) of any new sub-teams.
Standard
50% Majority to pass
- Sub-team Dissolution
Proposers must specify the name and justification for why a sub-team should be dissolved.
Standard
50% Majority to pass
- Lock an Issue, Pull Request, Thread
Occasionally, discussions become toxic and antithetical to the goal of fostering the conda-forge community. Members of core have the right to lock the thread in an “ask for forgiveness and not for permission” way so bad situations are handled quickly. The lock must be justified in the thread itself with a text explaining the reasons for locking and how the participants can contest it.
Standard
No need for voting to lock a thread
- Block a Contributor
In extreme cases, such as repeated harassment, it may become necessary to block a user completely from participating in all conda-forge activities. This should not be done lightly, but it may be necessary to do so expediently. Shorter voting periods (such as 24 hrs) are to be expected. The proposer of the block must provide ample justification as to why this is needed.
Sensitive
60% Majority to pass
- Remove member of staged-recipes
The proposer must provide a justification as to why the member of staged recipes should be removed.
Sensitive
66.7% Majority to pass
- Remove member of core
The proposer must provide an overwhelming justification as to why the member core should be removed.
Sensitive
75% Majority to pass
- Overall workflow and packaging policies
The proposer can choose to create a poll with an external tool or call for voting on the GH issue in question. The voting period must be open for at least one core member meeting cycle to allow for clarification questions and discussions. Friendly reminders to vote are encouraged.
Standard
50% plus one of those voting to pass
- Spending of funds
Proposers must specify the purpose, time limit, and source of funds that are to be spent. Purpose and time limit should be general enough in order to prevent excessive voting. For example, recurrent items (such as CI) should not need to be voted on each and every month. Instead, they should exist for a defined period of time (e.g. until the current migration ends, or for the next year). For such recurring expenses, the person coordinating spending the funds can choose to cancel the spending if it is deemed no longer necessary or cost-effective without calling another vote, although they should make reasonable efforts to notify the rest of core before doing so.
Standard
50% Majority to pass
- Modifying the governance document
The voting should happen in the PR in question and there must be a call to @conda-forge/core. The voting period must be open for at least one core member meeting cycle to allow for clarification questions and discussions.
Standard
75% plus one of those voting to pass
All other voting items are considered to be standard and require a 50% majority to pass.
Emetirus members¶
In alphabetical order,
Document History¶
This document was written by Anthony Scopatz.
This document is released under the CC-BY 4.0 license.


Click on the items in this slicer to filter by that class. You can Ctrl+Left Click to select multiple items.


We promise to:
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--- layout: default title: DevSecOps Capability Modelling ---
Rank your current progress on the DevSecOps journey and then drive improvement from there.
For each DevSecOps discipline you have a maturity rank between 1-4
Deeper dive into each of the the DevSecOps disciplines ranked above.
The minimum we want to achieve to have any sanity is level 3 for almost all DecSecOps disciplines with level 4 being our north star.
Hover over each section in the table below to see a list of questions which you can use to self assess your maturity.


This package is all the business logic callble by browser.
Each method callable must take in a request and response.
Each method can be called by anyone, so each method must do its own security
to make sure the logged in user can perform the operation.
If the method exits normally, then the servlet will send the json GuiResponseJs
to the screen. If the method throws an exception, the servlet will handle it.
If the method throws a ControllerDone, then the servlet will not send the
json object (e.g. if sending XML for a rich ajax control)


This is a simple hero unit, a simple jumbotron-style component for calling extra attention to featured content or information.
It uses utility classes for typography and spacing to space content out within the larger container.
当前URL: 指向内容不存在，请检查更换。404，
网站首页,story.


|
iDreamSky Game Engine
v1.0.0
|
#include <TextureBase.h>
公開方法(Public Methods) | |
| TextureBase () | |
| TextureBase Constructor. 更多... | |
| virtual | ~TextureBase () |
| TextureBase Destructor. 更多... | |
| virtual void * | getHandle () const =0 |
| Get the Handle of the Texture. 更多... | |
| virtual int | getWidth () const =0 |
| Get the Width of the Texture. 更多... | |
| virtual int | getHeight () const =0 |
| Get the Height of the Texture. 更多... | |
| virtual int | getLevelCount () const =0 |
| Get the Mipmap Level Count of the Texture. 更多... | |
| virtual bool | isRenderable () const =0 |
| Check if texture is renderable. 更多... | |
| virtual bool | isPowerOfTwo () const =0 |
| Check if texture is power of 2 in both width and height. 更多... | |
| void | setMinFilterMode (const GXTextureMinFilterMode &minFilter_) |
| Set the Minification Filter of the Texture. 更多... | |
| void | setMagFilterMode (const GXTextureMagFilterMode &magFilter_) |
| Set the Magification Filter of the Texture. 更多... | |
| const GXTextureMinFilterMode & | getMinFilterMode () const |
| Get the Minification Filter of the Texture. 更多... | |
| const GXTextureMagFilterMode & | getMagFilterMode () const |
| Get the Magification Filter of the Texture. 更多... | |
| void | setWrapS (const GXTextureWrapMode &wrapS_) |
| Set the Warp Mode of S direction of the Texture. 更多... | |
| const GXTextureWrapMode & | getWrapS () const |
| Get the Warp Mode of S direction of the Texture. 更多... | |
| void | setWrapT (const GXTextureWrapMode &wrapT_) |
| Set the Warp Mode of T direction of the Texture. 更多... | |
| const GXTextureWrapMode & | getWrapT () const |
| Get the Warp Mode of T direction of the Texture. 更多... | |
This is the base class for all Texture
| TextureBase::TextureBase | ( | ) |
TextureBase Constructor.
To Construct the TextureBase
|
virtual |
TextureBase Destructor.
To Destruct the TextureBase for the owner.
|
pure virtual |
Get the Handle of the Texture.
This is a pure virtual function all sub classes should implemented this function
實作於 IDreamSky::SpriteSheet, IDreamSky::CompressedTextureCubeFile, IDreamSky::TextureCubeFile, IDreamSky::CompressedTexture2DFile, IDreamSky::Texture2DFile, 及 IDreamSky::Font.
|
pure virtual |
Get the Height of the Texture.
This is a pure virtual function all sub classes should implemented this function
實作於 IDreamSky::SpriteSheet, IDreamSky::CompressedTextureCubeFile, IDreamSky::TextureCubeFile, IDreamSky::CompressedTexture2DFile, IDreamSky::Texture2DFile, 及 IDreamSky::Font.
|
pure virtual |
Get the Mipmap Level Count of the Texture.
This is a pure virtual function all sub classes should implemented this function
實作於 IDreamSky::CompressedTextureCubeFile, IDreamSky::TextureCubeFile, IDreamSky::CompressedTexture2DFile, IDreamSky::SpriteSheet, IDreamSky::Texture2DFile, 及 IDreamSky::Font.
| const GXTextureMagFilterMode & TextureBase::getMagFilterMode | ( | ) | const |
Get the Magification Filter of the Texture.
| const GXTextureMinFilterMode & TextureBase::getMinFilterMode | ( | ) | const |
Get the Minification Filter of the Texture.
|
pure virtual |
Get the Width of the Texture.
This is a pure virtual function all sub classes should implemented this function
實作於 IDreamSky::SpriteSheet, IDreamSky::CompressedTextureCubeFile, IDreamSky::TextureCubeFile, IDreamSky::CompressedTexture2DFile, IDreamSky::Texture2DFile, 及 IDreamSky::Font.
| const GXTextureWrapMode & TextureBase::getWrapS | ( | ) | const |
Get the Warp Mode of S direction of the Texture.
| const GXTextureWrapMode & TextureBase::getWrapT | ( | ) | const |
Get the Warp Mode of T direction of the Texture.
|
pure virtual |
Check if texture is power of 2 in both width and height.
This is a pure virtual function all sub classes should implemented this function
實作於 IDreamSky::CompressedTextureCubeFile, IDreamSky::TextureCubeFile, IDreamSky::CompressedTexture2DFile, IDreamSky::Texture2DFile, IDreamSky::SpriteSheet, 及 IDreamSky::Font.
|
pure virtual |
Check if texture is renderable.
This is a pure virtual function all sub classes should implemented this function
實作於 IDreamSky::CompressedTextureCubeFile, IDreamSky::TextureCubeFile, IDreamSky::CompressedTexture2DFile, IDreamSky::Texture2DFile, IDreamSky::SpriteSheet, 及 IDreamSky::Font.
| void TextureBase::setMagFilterMode | ( | const GXTextureMagFilterMode & | magFilter_ | ) |
Set the Magification Filter of the Texture.
| magFilter_,GXTextureMagFilterMode,the | Magification Filter of the Texture |
| void TextureBase::setMinFilterMode | ( | const GXTextureMinFilterMode & | minFilter_ | ) |
Set the Minification Filter of the Texture.
| minFilter_,GXTextureMinFilterMode,the | Minification Filter of the Texture |
| void TextureBase::setWrapS | ( | const GXTextureWrapMode & | wrapS_ | ) |
Set the Warp Mode of S direction of the Texture.
| wrapS_,GXTextureWrapMode,the | Warp Mode of S direction of the Texture |
| void TextureBase::setWrapT | ( | const GXTextureWrapMode & | wrapT_ | ) |
Set the Warp Mode of T direction of the Texture.
| wrapT_,GXTextureWrapMode,the | Warp Mode of T direction of the Texture |


Section 3 Structuring
Data structuring is the process of correcting or removing inaccurate records of a “raw data” so that, after the treatment, the transformed data will be easy to analyze and/or consistent with an existing dataset. More explicitly, the variable names, types, and values will be consistent and uniform. The focus here is on the ‘appearance’ of the data.
3.1 Inspecting the data
In order to structure a dataset, first, we need to be able to detect the anomalies within the data. Types of anomalies include the values that are stored in the wrong format (ex: a number stored as a string), the values that fall outside of the expected range (ex: outliers), values with inconsistent patterns (ex: dates stored as mm/dd/year vs dd/mm/year), trailing spaces in strings (ex: “data” vs “data”), etc.
One method of detecting these anomalies is the summary statistics of the variables, which can be obtained by using summary()
. Here is an example using the hurricane data:
## tibble [1,130 × 3] (S3: tbl_df/tbl/data.frame)
## $ Zone: chr [1:1130] "A" "A" "A" "A" ...
## ..- attr(*, "format.spss")= chr "A9"
## ..- attr(*, "display_width")= int 1
## $ Q4 : num [1:1130] 2 1 3 3 2 5 3 5 1 2 ...
## ..- attr(*, "label")= chr "Q4. Since the beginning of 2009, how many hurricanes and tropical storms, if any, hit your city or town on or n"| __truncated__
## ..- attr(*, "format.spss")= chr "F2.0"
## ..- attr(*, "display_width")= int 2
## $ Q5 : dbl+lbl [1:1130] 3, 4, 4, 6, 1, 4, 6, 4, 3, 6, 7, 5, 7, ...
## ..@ label : chr "Q5. Generally speaking, when a hurricane or tropical storm is approaching your city or town, how worried do you"| __truncated__
## ..@ format.spss: chr "F1.0"
## ..@ labels : Named num [1:2] 1 7
## .. ..- attr(*, "names")= chr [1:2] "Not Worried At All" "Extremely Worried"
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.000 2.000 2.000 2.537 3.000 20.000 134
## Fully Prepared Very Prepared Moderately Prepared A Little Prepared
## 93 326 438 137
## Not at all Prepared NA's
## 22 114
Other ways of exploring the data include:
## # A tibble: 10 x 9
## Zone Q4 Q5 Q6 Q7 Q10 Q50 Q51 Q59
## <chr> <dbl> <dbl+lbl> <dbl> <dbl+lbl> <dbl+l> <dbl> <dbl+l> <dbl+lbl>
## 1 A 2 3 0 3 [Moderate… 2 [No] 1928 1 [Mal… 4 [$70,00…
## 2 A 1 4 0 3 [Moderate… 2 [No] 1962 1 [Mal… NA
## 3 A 3 4 0 3 [Moderate… 2 [No] 1931 2 [Fem… 6 [Over $…
## 4 A 3 6 1 1 [Fully Pr… 2 [No] 1950 1 [Mal… 5 [$100,0…
## 5 A 2 1 [Not Worr… 0 2 [Very Pre… 2 [No] 1948 1 [Mal… 5 [$100,0…
## 6 A 5 4 0 2 [Very Pre… 2 [No] 1938 2 [Fem… NA
## 7 A 3 6 1 3 [Moderate… 2 [No] 1977 2 [Fem… NA
## 8 A 5 4 0 3 [Moderate… 2 [No] 1964 2 [Fem… NA
## 9 A 1 3 0 3 [Moderate… 2 [No] 1976 1 [Mal… 3 [$40,00…
## 10 A 2 6 0 2 [Very Pre… 2 [No] 1964 2 [Fem… 6 [Over $…
## # A tibble: 10 x 9
## Zone Q4 Q5 Q6 Q7 Q10 Q50 Q51 Q59
## <chr> <dbl> <dbl+l> <dbl> <dbl+lbl> <dbl+lb> <dbl> <dbl+lb> <dbl+lbl>
## 1 B 1 2 0 4 [A Little P… 2 [No] 1980 1 [Male] 3 [$40,000-…
## 2 B 2 2 0 3 [Moderately… 2 [No] 1977 2 [Fema… 4 [$70,000-…
## 3 B 4 4 1 2 [Very Prepa… 1 [Yes] 1962 2 [Fema… 2 [$15,000-…
## 4 B 2 5 0 1 [Fully Prep… 2 [No] 1946 1 [Male] 5 [$100,000…
## 5 B NA 4 NA 1 [Fully Prep… 1 [Yes] 1957 2 [Fema… 1 [Less tha…
## 6 B 1 4 1 4 [A Little P… 1 [Yes] 1987 2 [Fema… 6 [Over $20…
## 7 B 2 5 0 3 [Moderately… 2 [No] 1953 1 [Male] 4 [$70,000-…
## 8 B NA 4 4 2 [Very Prepa… 2 [No] 1973 2 [Fema… 1 [Less tha…
## 9 B 2 5 0 3 [Moderately… 2 [No] 1980 1 [Male] 5 [$100,000…
## 10 B 2 2 0 4 [A Little P… 2 [No] NA 2 [Fema… 3 [$40,000-…
## [1] 1130
## [1] 9
## [1] "Zone" "Q4" "Q5" "Q6" "Q7" "Q10" "Q50" "Q51" "Q59"
We can also plot the data to visualize the distribution of variables
While these plots could help in understanding the dataset, they could be misleading if the variables are not set to their correct data type.
3.2 Data types
One type of anomaly that we may also encounter is the coercion of irrelevant data types to a variables. This is very common for numerically coded variables or ones that has levels.
For example, if we read in the same SPSS data from the Reading data section, we get the coded values instead of the labels.
## # A tibble: 6 x 9
## Zone Q4 Q5 Q6 Q7 Q10 Q50 Q51 Q59
## <chr> <dbl> <dbl+lbl> <dbl> <dbl+lbl> <dbl+l> <dbl> <dbl+l> <dbl+lbl>
## 1 A 2 3 0 3 [Moderate… 2 [No] 1928 1 [Mal… 4 [$70,000…
## 2 A 1 4 0 3 [Moderate… 2 [No] 1962 1 [Mal… NA
## 3 A 3 4 0 3 [Moderate… 2 [No] 1931 2 [Fem… 6 [Over $2…
## 4 A 3 6 1 1 [Fully Pr… 2 [No] 1950 1 [Mal… 5 [$100,00…
## 5 A 2 1 [Not Worr… 0 2 [Very Pre… 2 [No] 1948 1 [Mal… 5 [$100,00…
## 6 A 5 4 0 2 [Very Pre… 2 [No] 1938 2 [Fem… NA
So if we run summary(data)
right away then we’ll get this unintended result:
## Warning in mask$eval_all_mutate(dots[[i]]): NAs introduced by coercion
## Zone Q4 Q5 Q6
## Min. : NA Min. : 0.000 Min. :1.000 Min. :0.0000
## 1st Qu.: NA 1st Qu.: 2.000 1st Qu.:1.000 1st Qu.:0.0000
## Median : NA Median : 2.000 Median :2.000 Median :0.0000
## Mean :NaN Mean : 2.537 Mean :1.617 Mean :0.4191
## 3rd Qu.: NA 3rd Qu.: 3.000 3rd Qu.:2.000 3rd Qu.:1.0000
## Max. : NA Max. :20.000 Max. :2.000 Max. :4.0000
## NA's :1130 NA's :134 NA's :968 NA's :116
## Q7 Q10 Q50 Q51 Q59
## Min. :1.000 Min. :1.000 Min. : 19 Min. :1.00 Min. :1.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1944 1st Qu.:1.00 1st Qu.:3.000
## Median :3.000 Median :2.000 Median :1955 Median :2.00 Median :4.000
## Mean :2.674 Mean :1.796 Mean :1944 Mean :1.55 Mean :3.715
## 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.:1966 3rd Qu.:2.00 3rd Qu.:5.000
## Max. :5.000 Max. :2.000 Max. :1992 Max. :2.00 Max. :6.000
## NA's :114 NA's :123 NA's :47 NA's :38 NA's :112
Q4
and Q50
are the only variables that are supposed to be numeric. But here everything is treated as numeric which is incorrect. Also, it is best if we read Zone
as factor as well so that we find out the possible values.
We can easily convert data types into factor using dplyr::mutate_at()
and applying as.factor
function to the variables.
And now we can get the full summary statistics that we want:
## Zone Q4 Q5 Q6
## A:684 Min. : 0.000 5 :244 Min. :0.0000
## B:446 1st Qu.: 2.000 4 :211 1st Qu.:0.0000
## Median : 2.000 3 :169 Median :0.0000
## Mean : 2.537 6 :129 Mean :0.4191
## 3rd Qu.: 3.000 2 :104 3rd Qu.:1.0000
## Max. :20.000 (Other):162 Max. :4.0000
## NA's :134 NA's :111 NA's :116
## Q7 Q10 Q50 Q51
## Fully Prepared : 93 Yes :205 Min. : 19 Male :491
## Very Prepared :326 No :802 1st Qu.:1944 Female:601
## Moderately Prepared:438 NA's:123 Median :1955 NA's : 38
## A Little Prepared :137 Mean :1944
## Not at all Prepared: 22 3rd Qu.:1966
## NA's :114 Max. :1992
## NA's :47
## Q59
## Less than $15,000: 81
## $15,000-$39,999 :169
## $40,000-$69,999 :215
## $70,000-$99,999 :190
## $100,000-$199,999:220
## Over $200,000 :143
## NA's :112
As we can see from the summary, there might be some anomalies with the variables:
Zone
: as most of the respondents are from Zone A. But this is basically related to the survey method which would later require that some weighting of the variables would be applied.Q4: Number of storms experienced
: where the mean value is 2.5 but some response have the value of 20.Q50: Birth year
: where some respondent answered 19 which is incorrect. Also this column is probably better if it’s in age instead of birth year.
We can also notice some missing values.
3.3 Subsetting and Filtering
We can remove incorrect or missing row values by using dplyr::filter
:
# Removing rows where birth year is irrelevant
# Here we decided that all birth year must be greater 1900
updated_data <- data %>% filter(Q50 > 1900)
# Now if we re-run its summary
summary(updated_data$Q50)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1908 1945 1955 1956 1966 1992
# Removing rows with birth year greater than 1900 and missing responses for Q4
updated_data <- data %>% filter(Q50 > 1900, !is.na(Q4))
summary(updated_data$Q50)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1908 1944 1954 1955 1965 1990
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.000 2.000 2.000 2.522 3.000 20.000
We can also select only the variables that we are interested in using dplyr::select
:
# Creating a new dataframe with only zone, gender, and income column
updated_data <- data %>% select(Zone, Q59, Q51)
head(updated_data, 10)
## # A tibble: 10 x 3
## Zone Q59 Q51
## <fct> <fct> <fct>
## 1 A $70,000-$99,999 Male
## 2 A <NA> Male
## 3 A Over $200,000 Female
## 4 A $100,000-$199,999 Male
## 5 A $100,000-$199,999 Male
## 6 A <NA> Female
## 7 A <NA> Female
## 8 A <NA> Female
## 9 A $40,000-$69,999 Male
## 10 A Over $200,000 Female
It is also possible to split the dataset into multiple dataframe by number of rows using split()
.
# To split the dataset into multiple dataframe of 10 rows each
max_number_of_rows_per_dataframe <- 10
total_number_rows_in_the_current_dataset <- nrow(data)
sets_of_10rows_dataframes <- split(data,
rep(1:ceiling(total_number_rows_in_the_current_dataset/max_number_of_rows_per_dataframe),
each=max_number_of_rows_per_dataframe,
length.out=total_number_rows_in_the_current_dataset)
)
# Here are the first 2 dataframes
sets_of_10rows_dataframes[[1]] # or sets_of_10rows_dataframes$`1`
## # A tibble: 10 x 9
## Zone Q4 Q5 Q6 Q7 Q10 Q50 Q51 Q59
## <fct> <dbl> <fct> <dbl> <fct> <fct> <dbl> <fct> <fct>
## 1 A 2 3 0 Moderately Pr… No 1928 Male $70,000-$99…
## 2 A 1 4 0 Moderately Pr… No 1962 Male <NA>
## 3 A 3 4 0 Moderately Pr… No 1931 Fema… Over $200,0…
## 4 A 3 6 1 Fully Prepared No 1950 Male $100,000-$1…
## 5 A 2 Not Worried … 0 Very Prepared No 1948 Male $100,000-$1…
## 6 A 5 4 0 Very Prepared No 1938 Fema… <NA>
## 7 A 3 6 1 Moderately Pr… No 1977 Fema… <NA>
## 8 A 5 4 0 Moderately Pr… No 1964 Fema… <NA>
## 9 A 1 3 0 Moderately Pr… No 1976 Male $40,000-$69…
## 10 A 2 6 0 Very Prepared No 1964 Fema… Over $200,0…
## # A tibble: 10 x 9
## Zone Q4 Q5 Q6 Q7 Q10 Q50 Q51 Q59
## <fct> <dbl> <fct> <dbl> <fct> <fct> <dbl> <fct> <fct>
## 1 A 2 Extremely Wo… 2 Fully Prepared Yes 1937 Fema… <NA>
## 2 A 3 5 0 Very Prepared No 1943 Male $70,000-$99…
## 3 A 2 Extremely Wo… 0 Very Prepared No 1954 Fema… $100,000-$1…
## 4 A 2 5 0 Very Prepared No 1959 Fema… $100,000-$1…
## 5 A 4 Not Worried … NA Very Prepared No 1936 Fema… Over $200,0…
## 6 A 1 3 1 Moderately Pr… Yes 1963 Male Over $200,0…
## 7 A 2 3 1 Very Prepared Yes 1950 Fema… $100,000-$1…
## 8 A 4 6 0 Moderately Pr… No NA <NA> <NA>
## 9 A 0 4 0 Very Prepared No 1941 Male $100,000-$1…
## 10 A NA <NA> NA <NA> <NA> 1952 Fema… $100,000-$1…
3.4 Changing cell values
As we mentionned earlier, it is best if Q50 is stored as an age variable instead of the default birth year. Q50
is a numeric variable and we can simply change it by using dplyr::mutate()
# Replacing Q50 values to their age in 2020
updated_data <- data %>% mutate(Q50 = 2020 - Q50)
head(updated_data, 10)
## # A tibble: 10 x 9
## Zone Q4 Q5 Q6 Q7 Q10 Q50 Q51 Q59
## <fct> <dbl> <fct> <dbl> <fct> <fct> <dbl> <fct> <fct>
## 1 A 2 3 0 Moderately Pr… No 92 Male $70,000-$99…
## 2 A 1 4 0 Moderately Pr… No 58 Male <NA>
## 3 A 3 4 0 Moderately Pr… No 89 Fema… Over $200,0…
## 4 A 3 6 1 Fully Prepared No 70 Male $100,000-$1…
## 5 A 2 Not Worried … 0 Very Prepared No 72 Male $100,000-$1…
## 6 A 5 4 0 Very Prepared No 82 Fema… <NA>
## 7 A 3 6 1 Moderately Pr… No 43 Fema… <NA>
## 8 A 5 4 0 Moderately Pr… No 56 Fema… <NA>
## 9 A 1 3 0 Moderately Pr… No 44 Male $40,000-$69…
## 10 A 2 6 0 Very Prepared No 56 Fema… Over $200,0…
# It is also possible to leave Q50 untouched and store the results into a new column
updated_data <- data %>% mutate(age = 2020 - Q50)
head(updated_data, 10)
## # A tibble: 10 x 10
## Zone Q4 Q5 Q6 Q7 Q10 Q50 Q51 Q59 age
## <fct> <dbl> <fct> <dbl> <fct> <fct> <dbl> <fct> <fct> <dbl>
## 1 A 2 3 0 Moderately … No 1928 Male $70,000-$… 92
## 2 A 1 4 0 Moderately … No 1962 Male <NA> 58
## 3 A 3 4 0 Moderately … No 1931 Fema… Over $200… 89
## 4 A 3 6 1 Fully Prepa… No 1950 Male $100,000-… 70
## 5 A 2 Not Worrie… 0 Very Prepar… No 1948 Male $100,000-… 72
## 6 A 5 4 0 Very Prepar… No 1938 Fema… <NA> 82
## 7 A 3 6 1 Moderately … No 1977 Fema… <NA> 43
## 8 A 5 4 0 Moderately … No 1964 Fema… <NA> 56
## 9 A 1 3 0 Moderately … No 1976 Male $40,000-$… 44
## 10 A 2 6 0 Very Prepar… No 1964 Fema… Over $200… 56
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 28.00 54.00 65.00 64.14 75.00 112.00
For a categorical variable, we use a different function dplyr::recode_factor()
or dplyr::recode()
. We will apply this to Q5
as we have noticed in the previous section that not all of its values were labelled from SPSS. Here is its summary:
## Not Worried At All 2 3 4
## 58 101 164 197
## 5 6 Extremely Worried NA's
## 232 123 97 104
Looking back at the questionnare, here is how it was phrased:
Because the survey itself doesn’t have labels, the recoding will be up to the user. Here we chose to remove replace the extreme values with 1 and 7. As mentionned in the documentation: dplyr::recode()
will preserve the existing order of levels while changing the values, and dplyr::recode_factor()
will change the order of levels to match the order of replacements.
# Recoding Q5
recoded.with.recode <- recode(data$Q5, `Not Worried At All`="1", `Extremely Worried`="7")
summary(recoded.with.recode)
## 1 2 3 4 5 6 7 NA's
## 58 101 164 197 232 123 97 104
recoded.with.recode_factor <- recode_factor(data$Q5, `Not Worried At All`="1", `Extremely Worried`="7")
summary(recoded.with.recode_factor)
## 1 7 2 3 4 5 6 NA's
## 58 97 101 164 197 232 123 104
We can also change cell values without external libraries like dplyr
by running the following code:
# Add column age where the values are 2020 - Q50
data$age <- 2020 - data$Q50
# Replace Q5 with value "Not Worried At All" to "1"
data$Q5[data$Q5 == "Not Worried At All"] <- 1
## Warning in `[<-.factor`(`*tmp*`, data$Q5 == "Not Worried At All", value =
## structure(c(3L, : invalid factor level, NA generated
3.5 Pivoting the dataset
In some cases, we may want to split a column based on values, or merge multiple columns into fewer columns. These process can be done using tidyr
package. For example, to convert the dataframe into long-format with only Zone
, question
, and value
as columns:
library(tidyr)
# We have to pivot by variable type
# Pivot longer for factor variables
pivoted.longer <- data %>%
select_if(is.factor) %>%
pivot_longer(-Zone, names_to = "question", values_to = "value")
pivoted.longer
## # A tibble: 5,380 x 3
## Zone question value
## <fct> <chr> <fct>
## 1 A Q5 3
## 2 A Q7 Moderately Prepared
## 3 A Q10 No
## 4 A Q51 Male
## 5 A Q59 $70,000-$99,999
## 6 A Q5 4
## 7 A Q7 Moderately Prepared
## 8 A Q10 No
## 9 A Q51 Male
## 10 A Q59 <NA>
## # … with 5,370 more rows
# Then we can reshape it back to the original
pivoted.wider <- pivoted.longer %>%
group_by(question) %>% mutate(row = row_number()) %>%
pivot_wider(names_from = question, values_from = value) %>%
select(-row)
pivoted.wider
## # A tibble: 1,076 x 6
## Zone Q5 Q7 Q10 Q51 Q59
## <fct> <fct> <fct> <fct> <fct> <fct>
## 1 A 3 Moderately Prepared No Male $70,000-$99,999
## 2 A 4 Moderately Prepared No Male <NA>
## 3 A 4 Moderately Prepared No Female Over $200,000
## 4 A 6 Fully Prepared No Male $100,000-$199,999
## 5 A <NA> Very Prepared No Male $100,000-$199,999
## 6 A 4 Very Prepared No Female <NA>
## 7 A 6 Moderately Prepared No Female <NA>
## 8 A 4 Moderately Prepared No Female <NA>
## 9 A 3 Moderately Prepared No Male $40,000-$69,999
## 10 A 6 Very Prepared No Female Over $200,000
## # … with 1,066 more rows
tidyr::spread()
and tidyr::gather()
are the outdated equivalent of tidyr::pivot_wider()
and tidyr::pivot_longer()
.
To merge or split columns, we can use tidyr::unite()
or tidyr::separate()
. For example, to merge Q7
and Q10
:
# Creating a new column with responses from both Q7 and Q10
merged <- data %>% unite("Q7_Q10", Q7:Q10, sep = "__", remove = TRUE, na.rm = FALSE)
merged
## # A tibble: 1,076 x 9
## Zone Q4 Q5 Q6 Q7_Q10 Q50 Q51 Q59 age
## <fct> <dbl> <fct> <dbl> <chr> <dbl> <fct> <fct> <dbl>
## 1 A 2 3 0 Moderately Prepared… 1928 Male $70,000-$99,9… 92
## 2 A 1 4 0 Moderately Prepared… 1962 Male <NA> 58
## 3 A 3 4 0 Moderately Prepared… 1931 Fema… Over $200,000 89
## 4 A 3 6 1 Fully Prepared__No 1950 Male $100,000-$199… 70
## 5 A 2 <NA> 0 Very Prepared__No 1948 Male $100,000-$199… 72
## 6 A 5 4 0 Very Prepared__No 1938 Fema… <NA> 82
## 7 A 3 6 1 Moderately Prepared… 1977 Fema… <NA> 43
## 8 A 5 4 0 Moderately Prepared… 1964 Fema… <NA> 56
## 9 A 1 3 0 Moderately Prepared… 1976 Male $40,000-$69,9… 44
## 10 A 2 6 0 Very Prepared__No 1964 Fema… Over $200,000 56
## # … with 1,066 more rows
## # A tibble: 1,076 x 10
## Zone Q4 Q5 Q6 Q7 Q10 Q50 Q51 Q59 age
## <fct> <dbl> <fct> <dbl> <chr> <chr> <dbl> <fct> <fct> <dbl>
## 1 A 2 3 0 Moderately Pre… No 1928 Male $70,000-$99,… 92
## 2 A 1 4 0 Moderately Pre… No 1962 Male <NA> 58
## 3 A 3 4 0 Moderately Pre… No 1931 Fema… Over $200,000 89
## 4 A 3 6 1 Fully Prepared No 1950 Male $100,000-$19… 70
## 5 A 2 <NA> 0 Very Prepared No 1948 Male $100,000-$19… 72
## 6 A 5 4 0 Very Prepared No 1938 Fema… <NA> 82
## 7 A 3 6 1 Moderately Pre… No 1977 Fema… <NA> 43
## 8 A 5 4 0 Moderately Pre… No 1964 Fema… <NA> 56
## 9 A 1 3 0 Moderately Pre… No 1976 Male $40,000-$69,… 44
## 10 A 2 6 0 Very Prepared No 1964 Fema… Over $200,000 56
## # … with 1,066 more rows


Why is there variation in the way species interact over space or time? We analyse spatially and temporally replicated datasets of surveys of species interactions to measure the variation in the structure of ecological networks, and describe its dynamics.
This research reveals an important aspect of the dissimilarity of ecological communities: the same species can interact in different ways. This opens a lot of stimulating questions. Do species and interactions respond to the same environmental cues and variables? Which are more informative? What is the spatial scale at which variations ceases to matter? How much of this variation is random?


24
1 Some day Yahweh is going to destroy the earth.
He will devastate it and cause it to become a desert,
and he will scatter its people.
2 He will scatter everyone:
priests and common people,
servants and their masters,
maids and their mistresses,
buyers and sellers,
lenders and borrowers,
people who owe money and people who are owed money.
3 Nothing that is worth anything will be left on earth;
everything valuable will be destroyed.
That will surely happen because Yahweh has said it.
4 Everything on the earth will dry up and die;
its important people will become weak and unimportant.
5 The earth has become unacceptable to Yahweh because the people who live on it have disobeyed his laws;
they have rejected the covenant that he intends to last forever.
6 Therefore, Yahweh will curse the earth;
the people who live on it must be punished because of the sins that they have committed.
They will be destroyed by fire,
and only a few people will remain alive.
7 The grapevines will wither,
and there will be no grapes to make wine.
All the people who were previously happy will now groan and mourn.
8 People will no longer play cheerful songs with tambourines,
people will no longer play joyfully on their harps,
and people will no longer shout noisily during their celebrations.
9 People will no longer sing while they drink wine,
and all their alcoholic drinks will taste bitter.
10 Towns and cities will be desolate;
every house will be locked to prevent thieves from entering, for no one will live in them.
11 Mobs will gather in the streets, wanting wine;
no one on the earth will be happy anymore.
12 Cities will be ruined,
and all their gates will be battered into pieces.
13 It will be like that all over the earth:
there will only be a few people still alive,
like what happens when workers beat all the olives off a tree and there are only a few left,
or when they harvest the grapes and there are only a few left on the vines.
14 Those in the west will sing with great happiness;
they will declare that Yahweh is very great.
15 Those in the east of Israel will also praise Yahweh;
those along the coastlines of the sea will praise Yahweh, the God the people Israel worship.
16 We will hear people in the most distant places on the earth singing praise to Yahweh, the truly righteous one.
But now, I am very sad.
Weep for me, because I have become thin and weak.
Terrible things are happening!
Treacherous people still betray others everywhere.
17 You people all over the earth,
you will be terrified,
and you will fall into deep pits and traps.
18 Those who try to flee because they are terrified
will fall into deep pits,
and those who climb out of the pits
will be caught by traps.
The sky will split open and torrents of rain will fall;
the foundations of the earth will shake.
19 The earth will split apart and be shattered;
it will shake violently.
20 It will be as though the earth will stagger like a drunk;
it will shake like a hammock in a windstorm.
It will collapse and not be able to rise again,
because the guilt of the people who rebel against Yahweh is very great.
21 At that time, Yahweh will punish the wicked powerful beings in the skies
and the wicked kings on the earth.
22 They will all be gathered together and thrown into a dungeon.
They will be shut in that dungeon,
and later they will be punished.
23 At that time the light of the moon and the sun will be lessened;
it will be as though they are ashamed in the presence of Yahweh,
because he, Yahweh, Commander of the angel armies, will rule gloriously on Mount Zion,
in the presence of all the leaders of his people.


This API use https://ebay.hendt.workers.dev/ as a Proxy.
It's only mention for testing, do not abuse it or use in production.


This is a prorgram written in p5.js to explore the
Collatz Conjecture. It allows you to input a number and then it plots the number's
progression
through rules of the Collatz Conjecture (see below). Each step is represented by a point on the
canvas going from left to right. The hegiht of the point represents the value of the input
of the Collatz function at that point. The y
-axis is labeled but the x
-axis is not
The Collatz Conjecture is a conjecture in Mathematics that states for any positive integer n such that n > 1, iterations through the Collatz function will eventually result in an output of 1.
The Collatz function says that for any integer divisible by two, return that integer divided by 2;
For all other integers return 1 more than 3 times that integer. In a program, such as Javascript,
it would look something like this
function collatz(n) {
if (n % 2 === 0) {
return n / 2;
} else {
return (3 * n) + 1;
}
}
Because of how integers work, this function always returns an integer. Since it also accepts integers as input, it is always possible to feed the results of the Collatz function back into itself. This is what is meant by iterations through the Collatz function.
The conjecture can be summed up as follows. For any integer n where n > 1 if you run n through the Collatz function and then take that result and run that through the Collatz function and then take that result and run that through the Collatz function, and so on and so on, eventually you will end up with 1.
This could happen quickly. For example if you start with 2, 2 is divisible by 2, so you return 2 / 2 which is 1. So that only takes one step.
For 3, 3 is not divisible by 2 so you return 3 * 3 + 1 or 10. Now you put 10 through the Collatz function. Since 10 is divisible by 2 you return 10 / 2 or 5. Now 5 goes through the function. Since 5 is not divisble by 2 you get 3 * 5 + 1 or 16. Now 16 goes through the function and since it is divisble by 2 you get 8 which goes through the function and is divisble by 2 giving 4 then 2 then 1. You can see that this takes many more steps than 2 but still ends up at 1
You can do this process for any valid integer and that is what is supposed to be shown by this sketch.
If you liked this you can find the code to it here on my Github.
Please note that this was inspired by a as-of-yet-not-done Coding Challenge by Daniel Shiffman of The Coding Train. You can find more about that on YouTube and Github.


From the box: It's nice to relax in the rocking chair and read by the lamp light before bedtime. Sweet dreams must surely follow in such a lovely bed!


I am 30 years old and married to a beautiful wife with two dogs. I live in Arizona where I was born, and work at Carvana as a software developer — previously at San Francisco-based startups Kissmetrics and SRC:CLR.
My personal passion is data science including machine learning and data analytics, particularly sports and science domains. In high school, I began game programming in C++, and throughout college I studied philosophy.
I am a lifelong learner.