2020 Apple Music Replay
At the end of each year I always look forward to my yearly music stats. I did a post back in 2018 with my Spotify Wrapped statistics, and Brandi and I did a podcast episode on our 2019 music stats. This year is a bit wonky since I used several different music services, but the most relevant metrics I got were from my 2020 Replay from Apple Music. Apple gives a few metrics after getting some flack for historically not providing anything like what Spotify does, but what they did share is at least interesting and worthy of comparison to previous years.
Along with the metrics, Apple also provides a 2020 Replay playlist with the most played tracks for each user. Feel free to check out mine!
Time Listened⌗
According to Apple, in 2020 I spent 962 hours listening to music, or over 40 days. For the sake of comparison, in my 2018 Spotify Wrapped I listened to 845 hours of music. This is especially impressive to me when considering that I didn’t use Apple Music for the entire year. I started using Apple Music in early 2020 shortly after I switched to an iPhone; prior to that I was still using Spotify for about a month. I also spent about 2 months trying out Amazon Music before switching back to Apple Music. Similarly, I spent a good bit of time listening to music I purchased during Bandcamp’s specials where all of the money went to the artists.
While I listened to far less music in 2020 while driving simply because I didn’t really drive anywhere during the pandemic, I listened to much more music while working since I never had to account for anyone else being around given that I now work from home full time. If I wasn’t in a meeting or on a call, there’s a good chance that I had some music playing while I worked.
Artists⌗
phem
I listened to 2,217 different artists. Suffice to say, I did a good bit of music discovery. A lot of that came from things like my personalized playlists from Apple and Apple’s curated, new music playlists in the genres I like. Plenty of it happened naturally as I would frequently go to the indie section each week, for example, and just listen to every new release that seemed interesting. While the albums sometimes wouldn’t appeal to me, on the whole it was a terrific way to find tons of new artists I wouldn’t have discovered otherwise.
Many of my top artists had new album releases that I played endlessly, as we’ll see in the next section.
- Grimes - 14 hours
- Dua Lipa - 9 hours
- Jinka - 8 hours
- Allie X - 8 hours
- Soccer Mommy - 7 hours
- HAIM - 6 hours
- Vita and the Woolf - 6 hours
- Ashnikko - 6 hours
- phem - 6 hours
- Dounia - 5 hours
From this list, I want to give the nod to phem for absolutely crushing it in 2020 with new releases. From her cover of Creep to her releases of Self Control and stfu, she was easily one of my favorite artists of the year.
Albums⌗
Jinka
I listened to 310 different albums in 2020. The metrics for the individual albums are a little weird as Apple doesn’t really highlight what they mean when they count the number of times I’ve “played” an album. I think they’re counting playing a track from that album as a play of the album, regardless of whether I’ve played it from the album directly or when the song was added to a playlist. Many of the albums on the list did receive the “we’re just going to play this on loop for the entire day” treatment, though.
- Future Nostalgia - Dua Lipa - 127 plays
- No Anything Else - Jinka - 108 plays
- Anna Ohio - Vita and the Woolf - 75 plays
- color theory - Soccer Mommy - 63 plays
- Petals for Armor - Hayley Williams - 58 plays
- folklore - Taylor Swift - 51 plays
- Miss Anthropocene (Deluxe Edition) - Grimes - 50 plays
- Bad Ideas - Tessa Violet - 48 plays
- Cape God - Allie X - 46 plays
- SAWAYAMA - Rina Sawayama - 44 plays
2020 saw a ton of great album releases. While many of them I had been eagerly anticipating, No Anything Else by Jinka completely caught me off guard and was easily one of my favorites. It was an album I stumbled upon while just listening to anything new in the Apple Music indie section, and it almost immediately became one of my favorites that I played on loop for days. Literally every song on it is phenomenal, though QT3.14 and I’d Like That emerged as my absolute favorites.
Wrap Up⌗
While 2020 was an awful year in plenty of regards, we had a ton of amazing new music from talented artists to help us get through it… even while many of the artists creating it suffered since they weren’t able to go on tour, do shows, and sell merchandise. While I imagine that trend will continue for at least the first half of 2021 (at least in the United States, where I am), I’m excited for finally being able to see live shows again and going out of my way to support all of the artists who helped us so much. Here’s to more incredible music in 2021. If I stick with one product the entire year, I think I can easily eclipse 1000 hours of time listened!


The Design of Infrastructure as Code
Adam Jacob, CEO, System Initiative
<EMAIL_ADDRESS>@adamhjk
Infrastructure as Code
The ability to create/update your business from scratch
From source control and a data backup
Configuration Management
Provisioning
Service Oriented Architecture
Data Management
It takes these four things to do that well
This talk is going to focus on the first two
But show relevance to the other two
Make
Cfengine 2
ISconf
Bcfg2
Puppet
Chef
Docker
Ansible
Terraform
Pulumi
Design
The look or function of things
Architecture
The complex structure of things
Architecture
How the system is broken down into parts
Decisions that are hard to change
Martin Fowler, Patterns of Enterprise Architecture
By the end of this talk
Know how these systems are broken down
What decisions they made that are hard to change
What those trade-offs are for
By the end...
Know how these tools are broken down
What decisions they made, and why
Directions for future research
Opinionated
Because otherwise its boring
Reasonable people might disagree
But youre stuck with me, so..
Make
The original configuration management tool
CC=gcc
CFLAGS=-I.
DEPS = hellomake.h
%.o: %.c $(DEPS)
$(CC) -c -o $@ $< $(CFLAGS)
hellomake: hellomake.o hellofunc.o
$(CC) -o hellomake hellomake.o hellofunc.o
$ make hellomake
Targets for every object file, compile with flags and deps
Make hellomake creates the final binary
CC=gcc
CFLAGS=-I.
DEPS = hellomake.h
%.o: %.c $(DEPS)
$(CC) -c -o $@ $< $(CFLAGS)
hellomake: hellomake.o hellofunc.o
$(CC) -o hellomake hellomake.o hellofunc.o
External DSL
A domain specific language for building software
Or whatever you can declare a target with
External DSL
A parsed and interpreted domain specific language; partially unqiue in it not being tied to a host language
CC=gcc
CFLAGS=-I.
DEPS = hellomake.h
%.o: %.c $(DEPS)
$(CC) -c -o $@ $< $(CFLAGS)
hellomake: hellomake.o hellofunc.o
$(CC) -o hellomake hellomake.o hellofunc.o
Imperative
We are telling the system what command to run
pub fn generate_wire(payload: Vec, ring_key: Option<&SymKey>) -> Result> {
let mut wire = Wire::default();
if let Some(ring_key) = ring_key {
wire.encrypted = Some(true);
let (nonce, encrypted_payload) = ring_key.encrypt(&payload)?;
wire.nonce = Some(nonce);
wire.payload = Some(encrypted_payload);
} else {
wire.payload = Some(payload);
}
let mut buf = BytesMut::with_capacity(wire.encoded_len());
wire.encode(&mut buf)?;
Ok(buf.to_vec())
}
Imperative
The vast majority of software is imperatively written
Imperative
Gets out of your way; at the cost of saying every single step.
$ make hellomake
Declarative
Make hellomake for me
I don't care how
Declarative
Easy to use; say what you want, not how to get it
Imperative Inside
Declarative Outside
(and a little inside too)
Every tool in this talk is Multi-Paradigm
Every tool we talk about is multi-paradigm here
If they say they aren't, they're lying
They become multi-paradigm over time
CC=gcc
CFLAGS=-I.
DEPS = hellomake.h
%.o: %.c $(DEPS)
$(CC) -c -o $@ $< $(CFLAGS)
hellomake: hellomake.o hellofunc.o
$(CC) -o hellomake hellomake.o hellofunc.o
$ make hellomake
What happens if we run it twice, with no outside changes?
If we run it over and over, in same circumstances
We get the same result
Idempotent
x • x = x
abs(abs(x)) = abs(x)
Absolute value of -5 is 5
Therefore abs is idempotent
Idempotent
Only does work if it needs to; same input == same output
CC=gcc
CFLAGS=-I.
DEPS = hellomake.h
%.o: %.c $(DEPS)
$(CC) -c -o $@ $< $(CFLAGS)
hellomake: hellomake.o hellofunc.o
$(CC) -o hellomake hellomake.o hellofunc.o
Tracks dependencies
.o files are dependent on .c files
Hellomake is dependent on hellomake.o and hellofunc.o
Therefore we must compile hellomake.c and hellofunc.c
Declaring Dependencies
Makes it easier to determine the steps required to accomplish something; theoretically provides parallelism opportunities
CC=gcc
CFLAGS=-I.
DEPS = hellomake.h
%.o: %.c $(DEPS)
$(CC) -c -o $@ $< $(CFLAGS)
hellomake: hellomake.o hellofunc.o
$(CC) -o hellomake hellomake.o hellofunc.o
Side Effects
The c compiler creates object files
That's a side effect of cc -o
The operating system cli essentially one giant side effect machine
Side Effects
When a function does something other than return its value; mutates the world outside the function
Infrastructure as Code is all about side effects
By definition, we rely on mutating the world outside the program itself
Make
Good for compiling!
Complicated for other things
Hard to reason about when things get big
Syntax is... opaque
Hard to classify behavior differences on different types of system
Cfengine 2
The most influental of all configuration management systems
control:
actionsequence = ( tidy links )
links:
sun4::
/bin -> /usr/bin
linux::
/bin -> /opt/bin
tidy:
/tmp pattern=* age=7 recurse=inf
First delete all files in tmp older than 7 days
Then create symlinks to bin, on both sun4 and linux machines
Controled by the action sequence
External DSL
Declarative
Idempotent
Side Effect Oriented
links:
...
tidy:
...
packages:
...
Grouped by type of action
Unique property - ostensibly for efficiency. Lost to history.
control:
actionsequence = ( tidy packages links )
Ordered
Order is controlled, because side effects matter
Ordered - but not dependent!
Imagine you link to files installed by packages
We'll come back to this later, with Puppet and Chef
Order Matters
Side effects rely on each other; two side effects called in different order can mean different results
Google "An analysis of RPM Validation Drift"
by John Hart and Jeffrey D'Amelia, Tufts University
tl;dr - scramble the order of rpm installs, you get random results
packages with multiple libraries, different compilers, etc
it's bad, y'all
control:
actionsequence = ( tidy links packages )
Convergent
Run long enough, eventually, the system will conform with the policy.
Run this twice; and links will succeed!
Convergent behavior!
Convergent systems are RESILIENT systems
Most failure is transient and in side effects
Simply running again in some period of time often resolves things
Your Services should be convergent over things like databases, etc
links:
sun4::
/bin -> /usr/bin
linux::
/bin -> /opt/bin
Classification
Cfengine worked by applying policy to classes of systems
Hard classes, like OS
User defined "soft" classes
Classification
Different behavior applies to different classes of system; think in groups, not individuals
Cfengine
Great for computer labs
Harder for complex tasks (clustering)
Loss of direct feedback loop
Organized by type of action, not domain
Hard to scale (by volume and source)
ISconf
The lost branch of history
Steve Traugott
Google "Why Order Matters: Turing Equivalence in Automated Systems"
http://infrastructures.org
Deeply influential paper
Laid out the first model for fully automated infrastructures
cd /tmp
wget http://example.com/foo-1.2.tar.gz
isconf start
isconf lock just a comment about installing foo
isconf snap foo-1.2.tar.gz
isconf exec tar -xzvf foo-1.2.tar.gz
isconf exec make -C foo-1.2 install
isconf exec rm -rf foo-1.2.tar.gz foo-1.2
isconf ci
isconf start
isconf up
A journal of commands
Capturing what you would do
Replayed across every host
cd /tmp
wget http://example.com/foo-1.2.tar.gz
isconf start
isconf lock just a comment about installing foo
isconf snap foo-1.2.tar.gz
isconf exec tar -xzvf foo-1.2.tar.gz
isconf exec make -C foo-1.2 install
isconf exec rm -rf foo-1.2.tar.gz foo-1.2
isconf ci
Low Abstraction
Just the commands you would run
You will see this again with Dockerfiles
isconf start
isconf up
Congruent
Bit-for-bit identical if the journal is the sole source of change
Congruence
Fully descriptive baseline; concerned with bit-for-bit state.
Docker!
Ensure policy through strict order of events
Golden Image
The common baseline
In practice, you start from a maintained golden image
The journal can help create it
Rolling forward, not always replaying
ISconf
No policy tracking
Hard to know where/why state changed
Only allows change through the journal
Raw commands mean easy on-ramp
Predicted Docker, Ansible, etc.
Bcfg2
Even no policy is a policy
Narayan Desai
Computer labs for science!
<Package name="openssh-server" version="auto" type="deb"/>
<Path name="/etc/motd"> Hello from Bcfg2 </Path>
XML based policy
With Jinja templates
Declarative
Ordered
Idempotent
Convergent
Data as Specification
Data is the DSL
The first to use data as DSL
Later to be famous with Ansible and Kubernetes
A pain to read as complexity increases
Loaded tool drivers:
Chkconfig POSIX YUM
Phase: initial
Correct entries: 1
Incorrect entries: 0
Total managed entries: 1
Unmanaged entries: 242
Phase: final
Correct entries: 1
Incorrect entries: 0
Total managed entries: 1
Unmanaged entries: 242
Comprehensive Policy
Everything bcfg2 can manage, was managed
You just may or may not have set a policy
Bcfg2
First use of Data as DSL
Only tool to have comprehensive policy
Difficult to perform complex tasks
exec { 'apt-update':
command => '/usr/bin/apt-get update'
}
package { 'apache2':
require => Exec['apt-update'],
ensure => installed,
}
service { 'apache2':
require => Package['apache2'],
ensure => running,
}
Update the package repo
Install apache2
Make sure it is running
Declarative
Idempotent
Convergent
External DSL
package { 'apache2':
require => Exec['apt-update'],
ensure => installed,
}
Resource Abstraction
Named resources, mapped to providers based on facts
A big change in design
Puppet figured a lot out for you
exec { 'apt-update':
command => '/usr/bin/apt-get update'
}
package { 'apache2':
require => Exec['apt-update'],
ensure => installed,
}
Dependency Graph
Resources depend on each other, forming a graph
Topologically sorted
Many possible solutions
Solved critical cfengine problems!
node default {
class { 'ntp':
servers => [
'nist-time-server.eoni.com',
'nist1-lv.ustiming.org',
'ntp-nist.ldsbc.edu'
]
}
}
Grouped by Domain
Resource orientation lets us think in terms of problems, not action type
This was a revelation
Hard to overstate the influence this shift had
$binaries = ['facter', 'hiera', 'mco', 'puppet', 'puppetserver']
# function call with lambda:
$binaries.each |String $binary| {
file {"/usr/bin/${binary}":
ensure => link,
target => "/opt/puppetlabs/bin/${binary}",
}
}
Complex Language
DSL grows general purpose features
The domain is massive
The language grows general purpose features
To enable complex configurations
Puppet
Resource abstraction changes the game
Modules orient toward the domain, not the actions
Complex ordering is possible
Language designed for the problem, grows in complexity over time
Pivotal, remarkable achievement
Chef
This is just programming
execute "apt-get update"
package "apache2"
service "apache2" do
action [:enable, :start]
end
Declarative
Idempotent
Convergent
Ordered
execute "apt-get update"
package "apache2"
service "apache2" do
action [:enable, :start]
end
Internal DSL
A super-set of a host language, designed for the domain
Means it is easier to do complex things
Means it is possible to do things outside the domain
Gain in power you loose in control
execute "apt-get update"
package "apache2"
service "apache2" do
action [:enable, :start]
end
Repeatable
No variation in order meant predictable bugs
Predictable order - the order listed
Puppet was very hard to debug at massive scale of resources
It's better now with "manifest ordering"
graphite_servers = search(:node, 'recipes:"graphite"')
template "/etc/collectd/collectd.conf" do
source "collectd.conf.erb"
owner "root"
group "root"
mode 0644
notifies :restart, "service[collectd]"
variables(
:graphite_servers => graphite_servers
)
end
Search
Made clustering and complex configuration easier
Gets a list of services with graphite installed
Populates a template for collectd with them
Chef
First internal DSL
Good for high complexity
Good for high scale
A lot of work for just a few nodes
Possible to do bad things
Ansible
This is too damn hard, y'all
---
- name: Install ntp
yum: name=ntp state=present
tags: ntp
- name: Configure ntp file
template: src=ntp.conf.j2 dest=/etc/ntp.conf
tags: ntp
notify: restart ntp
- name: Start the ntp service
service: name=ntpd state=started enabled=yes
tags: ntp
ansible-playbook playbook.yml -f 10
Designed to be quick and easy
Runs across hosts on demand
Declarative
Idempotent
Convergent
Ordered
Data as Specification
ansible-playbook playbook.yml -f 10
Push Based
Run on demand; much faster feedback loop
Good initial UX
Bad at scale
ansible-playbook playbook.yml -f 10
Agentless
No agents; push the whole program
nothing to install on hosts
Ansible
Focused on fast feedback
Very low time to first utility
Good for point in time tasks
Hard to scale (in code and nodes)
Docker
Congruence has its Revenge
FROM ubuntu
RUN apt-get update
RUN apt-get install -y nginx
COPY index.html /usr/share/nginx/html/
ENTRYPOINT [“/usr/sbin/nginx”,”-g”,”daemon off;”]
EXPOSE 80
$ docker build
$ docker run nginx
Creates golden images fast
Low abstraction
Trivial to share and run
Imperative
Congruent
Ordered
External DSL
Low Abstraction
$ docker run nginx
Quantum UX Leap
Turns out, all we ever wanted was to say this
Docker
Trivial barrier to entry
Fast feedback
Easy to share
Hard to manage, maintain, or update
No insights in to how things are built
Crazy, ridiculous, wonderful first UX
Terraform
We manage APIs now
resource "aws_instance" "web" {
instance_type = "t2.micro"
ami = "${lookup(var.aws_amis, var.aws_region)}"
key_name = "${aws_key_pair.auth.id}"
connection {
user = "ubuntu"
host = "${self.public_ip}"
}
provisioner "remote-exec" {
inline = [
"sudo apt-get -y update",
"sudo apt-get -y install nginx",
"sudo service nginx start",
]
}
}
Declarative style language over cloud APIs
The big shift here was focus - cm principles applied to cloud resources
Declarative
Idempotent
Convergent
Dependency Graph
External DSL
State
Introduces the statefile; since resources can no longer be queried
Fixed Abstraction
Maps 1:1 to provider APIs
Terraform
Uses graphs for parallelism
Broad coverage of real APIs
Language starts simple, grows to crazy complexity
Struggles at scale of codebase
Totally leaky
Need to map provider API to syntax
No useful higher abstractions
Pulumi
Can we write code again, please?
let server = new aws.ec2.Instance("si-graphql", {
instanceType: size,
securityGroups: [ group.name ],
ami: ami,
keyName: ssh_key.id,
userData: userData,
tags: {
use: "si-graphql",
}
});
Declarative
Idempotent
Convergent
Dependency Graph
Multiple Internal DSLs
A single engine, providing multi-language support.
Letting the provisioning blur the lines
Node/Typescript, Python 3, .Net, Go
Higher Abstractions
Full language abstractions for composition
Pulumi
Broad coverage of real APIs
Higher abtractions from the languages
Multiple internal DSLs
Default-to-cloud state handling
Composition
We can provision things, but we can't compose them
Feedback Loops
We can have high scalability, or bad feedback loops - is there a best of both?
Convergent + Congruent
Can we marry convergent configuration with congruent images better?
Higher Abstractions
Can we build useful, composable higher abstractions?


catch
block parameter.
Changing a catch
block parameter is very confusing and should be discouraged.
The quick-fix adds a declaration of a new variable.
Example:
void processFile(String fileName) throws Exception {
try {
doProcessFile(fileName);
}
catch(Exception ex) {
if (ex instanceof UncheckedIOException) {
// Warning: catch block parameter reassigned
ex = ((UncheckedIOException) ex).getCause();
}
throw ex;
}
}
After the quick-fix is applied:
catch(Exception ex) {
Exception unwrapped = ex;
if (unwrapped instanceof UncheckedIOException) {
unwrapped = ((UncheckedIOException)
unwrapped).getCause();
}
throw unwrapped;
}
Parameters of multi-catch blocks are not reported because such parameters
are implicitly final
and reassigning them causes a compilation error.


APSVASTFullscreenButtonConfiguration Class Reference
| Inherits from | NSObject |
|---|---|
| Conforms to | NSCopying |
| Declared in | APSVASTFullscreenButtonConfiguration.h APSVASTFullscreenButtonConfiguration.m |
visible
.
@property (nonatomic) BOOL visible
Discussion
.
See APSMediaOverlayPosition
for possible values. Defaults to kAPSMediaOverlayPositionBottomRight
.
Declared In
APSVASTFullscreenButtonConfiguration.h
position
The position of the fullscreen ad overlay, relative to the player surface.
@property (nonatomic) APSMediaOverlayPosition position
Discussion
The position of the fullscreen ad overlay, relative to the player surface.
See APSMediaOverlayPosition
for possible values. Defaults to kAPSMediaOverlayPositionBottomRight
.
Declared In
APSVASTFullscreenButtonConfiguration.h
padding
The internal padding that the fullscreen overlay should apply to its content.
@property (nonatomic) int padding
Discussion
The internal padding that the fullscreen overlay should apply to its content.
Defaults to 5.
Declared In
APSVASTFullscreenButtonConfiguration.h
enterIconLocation
An URL to the icon or a UIImage instance which will be used for the “enter fullscreen” action
@property (nonatomic, strong) id _Nonnull enterIconLocation
Discussion
An URL to the icon or a UIImage instance which will be used for the “enter fullscreen” action
Defaults to Controls/fullscreen.png
Declared In
APSVASTFullscreenButtonConfiguration.h
leaveIconLocation
An URL to the icon or a UIImage instance which will be used for the “leave fullscreen” action
@property (nonatomic, strong) id _Nonnull leaveIconLocation
Discussion
An URL to the icon or a UIImage instance which will be used for the “leave fullscreen” action
Defaults to Controls/fullscreen-exit.png
Declared In
APSVASTFullscreenButtonConfiguration.h
borderColor
The color of the border for the fullscreen overlay.
@property (nonatomic) NSString *borderColor
Discussion
The color of the border for the fullscreen overlay.
Set this to a NSString
containing the hex color reprezentation. Defaults to [UIColor lightGrayColor]
.
Declared In
APSVASTFullscreenButtonConfiguration.h
borderRadius
The corner radius of the border for the fullscreen overlay.
@property (nonatomic) int borderRadius
Discussion
The corner radius of the border for the fullscreen overlay.
Defaults to 5.
Declared In
APSVASTFullscreenButtonConfiguration.h
backgroundColor
The background color for the fullscreen overlay.
@property (nonatomic) NSString *backgroundColor
Discussion
The background color for the fullscreen overlay.
Set this to a NSString
containing the hex color reprezentation. Defaults to [UIColor clearColor]
.
Declared In
APSVASTFullscreenButtonConfiguration.h
width
The width of the fullscreen overlay.
@property (nonatomic) NSString *width
Discussion
The width of the fullscreen overlay.
Defaults to @“75”.
Declared In
APSVASTFullscreenButtonConfiguration.h
height
The height of the fullscreen overlay.
@property (nonatomic) NSString *height
Discussion
The height of the fullscreen overlay.
Defaults to @“30”.
Declared In
APSVASTFullscreenButtonConfiguration.h


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--- layout: page title: About header: InfoSecly - About group: navigation --- {% include JB/setup %}
I am a security analyst at a Fortune 20 financial institution with a broad knowledge on Authentication, Authorization, PKI and Security Audit areas of InfoSec.
Basically, I write about everything related to Security, of course when I got time and interesting topic :).


It is important to give the island as much advance warning of your arrival as possible. Every effort should be made to avoid arriving at a weekend. It is essential to read Advice for Visiting Yachts.
Advance arrangements may be made by contacting the Police Departments at +44 (0)20 3014 2010, Fax +44(0)20 3014 2020 or email<EMAIL_ADDRESS>On approaching the island, contact Tristan Radio via VHF Channel 14, 16 or 78, or HFSSB 4000 / 4149 / 6230 / 8294mhz to advise of ETA.
Contact Communications Officer Andy Repetto Tristan Radio ZOE at e-mail<EMAIL_ADDRESS>or by phone on +44 (0) 20 3014 2034 or after hours +44 (0) 20 3014 5024
Government of the island closes at 15:00 on weekdays and all day Saturday and Sunday, so if arriving at the weekend, it will be necessary to wait until the start of the week to clear in.
Clearance must be obtained from the Harbourmaster, Medical Officer and Immigration Officer before anchoring or disembarking passengers or crew and advice must be obtained regarding a safe anchorage position. The Visits Liaison Officer will arrange for officials to visit the boat. Immigration is completed ashore.
Yachts should maintain contact with Tristan Radio while at the anchorage, and inform them of ETD (estimated time of departure) and destination.
No person may land at Nightingale, Alex or Stoltenhoff Islands without first clearing at Tristan and then obtaining permission from the Administrator.
For more information for visiting yachts, see the official website
Last updated November 2015.
No visas are required.
All visitors must hold a valid passport and obtain permission to land by having a landing stamp inserted in their passport.
All visitors to Tristan must have adequate travel insurance to cover the costs of any medical treatment including, if required, the costs of medical evacuation to Cape Town.
Last updated November 2015.
Firearms must be kept on board and not landed. There are restrictions on the import of alcohol.
There is a ban on the import without a permit of any live or dead animals or plants.
Last updated November 2015.
Overtime is charged by arrangement. There is a landing fee of £15 per person plus £5 harbour dues.
Use of government boat for transportation ashore, £15.
Guide fees, £17 per guide.
All fees are to be paid in cash or travellers cheques at the Treasury Office in Sterling, Rand or US dollars. Yachts arriving at a weekend or public holiday should pay their fees to the Immigration Officer.
Last updated November 2015.
To comply with wildlife conservation measures, visiting vessels are not permitted to anchor overnight off Gough, Inaccessible or Nightingale Islands.
Prior permission is required for any fishing activities in Tristan waters. Applications to permit recreational fishing by crew during the period of the vessel’s visit should be submitted to Head of Natural Resources Department. Licences issued will be subject to certain conditions which must be strictly observed. Fishing for lobster is strictly prohibited.
Sunday is the community's only formal day of rest, spent quietly at Church and with families. Any yachts which call in at weekends should take this into account and be prepared to lay over until the start of the working week.
Animals must stay on board and not landed


Grape is a collection of Operating Systems that are open source and developer-made.
They have an approchable UI but can be accesed to the core.
Grape is made in many forms. It can be used as Linux, a custom OS, or a tester.
This makes it very usefull because it can be used on many systems.


GABBEH (director and writer: Mohsen Makhmalbaf; cinematographer: Mahmoud Kalari; cast: Shaghayegh Djodat (Gabbeh), Hossein Moharami (Old Man), Roghieh Moharami (Roghieh), Abbas Sayahi (Uncle), Iran-1996)
A gorgeously filmed fable taking place in the steppes of southeastern Iran, about the nomadic Ghashghai tribe noted for the handicraft of their beautiful carpets. A gabbeh is a carpet, and it is also the name of a young tribeswoman (Djodat), whose father won't give her permission to marry, saying he will kill her if she runs away with the suitor who is calling her daily with wolf calls from the distant hills. She appears like an attractive apparition sitting by the stream, where sometimes she is seen smiling sweetly and other times sadly reflecting the pains she feels in her tender heart, clad in a traditional dress, which is an ornate blue color that matches the carpet.
To fully appreciate the tale, which is told in the same fanciful manner these simple nomads weave their carpets, one must suspend one's reality and enter into a fairy tale land of richly decorative colors and visions, and take heed as Gabbeh sings her heartfelt song that "love is color" and that "love is pain."
The film opens as an elderly couple (Hossein Moharami and Roghieh Moharami) argue back and forth by the stream, as they try to decide which one of them should stand in the water and wash the carpet they have just made, which has the design of a woman in blue and a man in red riding together on a white horse. We see the carpet as if were a magical one as it is spread out on the water. Their creation is made from their life history and their bitter and joyous memories.
For those who value Persian rugs, they realize this is so because of the all stories and detail that go into the carpet, making it an inspired work of art that gives it its intrinsic value; it is a work of art that is unrivaled precisely because it is made without set patterns.
The film was originally sponsored by the Persian carpet industry hoping to have it made as a documentary. But if you can ignore that, you will see a film that turns out to be so endearing, that you will be taken in by the power of its raw beauty.
It tells of the girl's song about her lover calling to her on horseback and how these calls tear at her heart, and about her mean father who won't let her marry until her 57-year-old uncle weds. What finally breaks her heart, is that when the uncle marries for the first time she, as the eldest, is then told that she will have to wait until her mother gives birth to her eight child before she can marry her lover. This seems to be too much for the young girl to endure.
We are left with the impression that Gabbeh has at last summoned up enough nerve to run away with her lover, as the father rides after them firing some shots and soon returns to his tribe to tell them they better not desert the tribe, or else they too would be dead. But in this enchanting film, what appears to be happening might be different than what actually occurs, as we are left to ponder her relationship with the elderly couple (oddly enough, the old wife is wearing a tradition blue dress that is identical to Gabbeh's).
I quite frankly don't understand all the cultural ramifications of the tale and what the exact meaning of its conclusion amounts to, but that didn't hinder me from being amazed by the stunningly lush landscapes seen and from enjoying the film as is.
Iranian films of this nature require a different way of looking at them, something that American audiences might take a lot of getting used to. This artistic (not poetic) film, is one that is not necessarily better than American films, as much as it is different from them. Don't look for the usual Hollywood formula contrivances to drive the film to its conclusion. In Iran there seems to be a genuine respect for the artist, that allows him to tell his story as he sees fit without some studio execs coming in and cutting it up (that is not to downplay or neglect the repressive regime that acts as a censor and makes their film industry suffer unduly because of their narrow mindedness).
This fairy tale film is a feast for hungry eyes (I can't get over how the wheat fields depicted looked so much like Van Gogh's). But, with that being said, I would be remiss if I did not mention that this simple tale, is one that has almost no insight into modern Iran; it is a popular film, aimed at upsetting no one-- foreigner and Iranian alike. If I had to compare it with an American type of film it most closely resembles, I would have to say a "Disney" film. In other words, this is not a personal film, one in which the director's poetical vision is inspirational. Instead, it is a safe non-political, though, beautifully shot romantic fantasy, that is more pleasing to the eye than to the mind. It is one to be admired, as one does a beautiful woman, but it is not one that invites further introspection.
REVIEWED ON 7/13/99 GRADE: B-
Dennis Schwartz: " Ozus' World Movie Reviews "
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
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Before Change
unvisited_grids = self._get_unvisited_grid_ids(study)
if len(unvisited_grids) == 0:
raise ValueError("All grids have been evaluated. If you want to avoid this error, "
"please make sure that unnecessary trials do not run during "
"optimization by properly setting `n_trials` in `study.optimize`.")
// In distributed optimization, multiple workers may simultaneously pick up the same grid.
// To make the conflict less frequent, the grid is chosen randomly.
grid_id = random.choice(unvisited_grids)
study._storage.set_trial_system_attr(trial._trial_id, "search_space", self._search_space)
study._storage.set_trial_system_attr(trial._trial_id, "grid_id", grid_id)
After Change
target_grids = self._get_unvisited_grid_ids(study)
if len(target_grids) == 0:
_logger.warning("`GridSampler` is evaluating a duplicated point because all grids "
"have been evaluated. This may happen due to a timing issue during "
"distributed optimization or an unnecessary number of `n_trials`.")
study.stop()
target_grids = list(range(len(self._all_grids)))
// In distributed optimization, multiple workers may simultaneously pick up the same grid.
// To make the conflict less frequent, the grid is chosen randomly.
grid_id = random.choice(target_grids)
study._storage.set_trial_system_attr(trial._trial_id, "search_space", self._search_space)
study._storage.set_trial_system_attr(trial._trial_id, "grid_id", grid_id)


learing how to do logarithmic algorithm is really not that hard. If you think about it all you really have is switch the numbers and mosty of the time you dont even have to think about it. al
You are given 3 numbers and you either have to find the square root or work the square root. If you have a graphing calculator all you have to do is punch in numbers.
ANYONE CAN DO LOGARITHM
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The number of projects added to the corpus over time (C=blue, C++=orange Java=red)
The total Gigabytes of code (C,C++,Java) present in the corpus. [calculated using latest src only]
Composition of corpus by bytes of code per language (C=blue, C++=orange, Java=red) [in percent]
Number of projects per bytes bin (non-uniform) (C=blue, C++=orange, Java=red)


R for Health Technology Assessment (HTA) is an academic consortium whose main objective is to explore the use of R for cost-effectiveness analysis (CEA) as an alternative to less efficient, generalisable and powerful software such as spreadsheets. R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques. We advocate the use of proper statistical software, notably R, to be used in the whole process of health economic evaluation.
General topics of interest include a wide range of technical aspects, e.g. the discussion of the many available R add-on packages, as well as ways to help users get the most out of R for CEA. Presentations and public discussions are used to address the computational and transparency advantages of R over Excel for CEA and for easing collaboration. Our members have diverse experience in government (including NICE in the UK), academia, and industry.
Our events, including the annual workshop, short courses and hackathons
Next edition: 29-30 June 2020. Check for updates!
Here's a list of all the training events that are organised by members of our consortium
Come and play with R!
Relevant R packages and tools for statistical analysis and economic evaluation
A complete list of relevant publications can be found here


Effective date: February 03, 2019
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---
layout: post
title: Frickin' "Laser" Beam
date: '2013-05-06T12:22:00.000-04:00'
author: Robert Sica
tags:
- pcl DrEvil
- photo
- flickr
modified_time: '2013-08-01T12:28:02.533-04:00'
blogger_id: tag:blogger.com,1999:blog-736339229338318027.post-2818192302948709246
blogger_orig_url: http://blog.purplecrowlidar.ca/2013/05/frickin-laser-beam.html
---
Great snap by Rob Weryk of the PCL in action: <dr evil>Frickin' "Laser" Beam</dr>
Says Rob: "I went to take some star pics and noticed the Purple Crow Lidar was running ... there is also a satellite flare visible.”
For the record: the PCL is not responsible for hitting that satellite… not this time :–)


--- layout: post title: "Ideas regarding PhD topic" date: 2017-02-14 comments: true archive: true excerpt: Thoughts and notes regarding PhD topics ---
Ideas:
Kernels run out of memory while NN's are compact function classes providing a trade off between storage vs training time computation.
Exploit the trades of both of the methodls and combine them for nonparametric statistical test, generative modes, message passing, bandit algorithms and other things that need good statistical analysis and flexible models.
Problem which still remains to be solved, is how to incorporate model
decompositions efficiently into deep learning?
deep learning + spectral methods ==> How to combine them?
This can be done e.g. using some of the objective functions for from
graphical models .e.g. Conditional Random Fields, Structured loss,
anything similar
Differences between graphical models and deep learning:
LSTM's are latent variable auto-regressive models with some fine tuning to deal with vanishing gradients
Adverserial Environments hard to handle
The Master Algorithm by P.Domingos:
At the time of writing it has been identified that there are 5 different tribes, schools/paradigms regarding machine learning related to the way that each school or technique uses they preferred methodology or algorithm inside the machine learning community.
How do computers discover new knowledge?
| Tribe | Origins | Master Algorithm | People | |||
|---|---|---|---|---|---|---|
| Symbolists | Logic, philosophy | Inverse deduction | Tom Mitchel, Steve Muggleton, Ross Quinlan | |||
| Connectionists | Neuroscience | Backpropagation | LeCun, Hinton, Bengio | |||
| Evolutionaries | Evolutionary Biology | Genetic programming | John Koza, John Holland, Hod Lipson | |||
| Bayesians | Statistics | Probabilistic inference | David Heckerman, Judea Pearl, Michael Jordan | |||
| Analogizers | Psychology | Kernel machines | Peter Hart, V.Vapnik, Douglas Hofstadter |
Putting pieces together:
Grand unifying theory => unify all 5 learning tribes
Unifying representations => starting from theorist and Bayesians (logic and graphical models => has been done => Markov Logic Networks)
Different projects:
Project 1: Methods for Semi-supervised Learning and Active Labeling How can we exploit unlabeled data for a supervised learning problem and how can we identify the most informative subset of examples to be annotated by an expert?
Project 2: Methods for Robust Feature Learning How can we learn robust features that remain maximally predictive even if the distribution of test data is very different from the distribution of training data?
Project 3: Calibrated Uncertainty Estimation How can we provide reliable confidence intervals for deep neural network predictions?


favorite critics:
1. Roger Ebert (Chicago Suntimes) 2. Peter Travers (Rolling Stone) 3. Owen Gleiberman (EW) 4. Jeff Millar (Houston Chronicle) 5. Michael MacCambridge (...?)
Keanu Reeves - the anti-actor he proves himself to be on a continual basis - has a dynamite scene in DEVIL'S ADVOCATE. His beautiful, grace-fallen wife has been admitted to a mental hospital. She's seen demons that even her husband is blind to (because of his ambition). Every- one thinks she's crazy. She locks herself in a room, props a chair under the doorknob, and takes a broken shard of glass from the floor to her throat. Reeves is watching, from just outside, helplessly. He grabs a chair, smashes it through the window on the door and the metal screen behind it, until he has gotten to her. It's too late. He is screaming, crying, holding her, calling out for help, while the life slips out of his wife. I've no idea what Reeves did to prepare for this scene; he's never done it before, and certainly nowhere else in this new film of his has that has a thing to do with his character is it displayed. But, during that one isolated stretch of film, he acts and reacts exactly like a real person would, faced with a situation so traumatic.
It's a welcome relief from him, from the rest of the film.
DEVIL'S ADVOCATE does a good job setting up his character, though. He plays Kevin Lomax, a lawyer from Florida with a perfect, unbeaten record. At picture's start, we see him defending a blatant pedophile - a teacher who has made sexual advances toward a student. The girl is on the stand. Lomax knows what he's dealing with; he is reasonably uncomfortable and angry with his client, and yet his pride and ardor for profession are just as much at stake.
Morality and conscience take a back seat.
By the time this overlong film ended, I think I understood pretty much what it was trying to get at, and I liked the intention. Lawyers are evil, because they rescue other evil men. And leading them, at the head of some big firm someplace may, in fact, be the evilest of evil people.
That's who Kevin meets, when he is recruited by a renowned law firm in upscale New York. Now only does Kevin win his cases, he has a stong tendency to pick juries that will acquit, even when a case would appear unwinnable. Unthinkable. "He's always been then. I know that, now" Kevin says at one point, and I think the line doesn't refer just to the big surprise in the film, but to Kevin himself, as a person. Because of the people he defends, and for how he gets his victory in court.
Anyway. This new company couldn't be any happier with Kevin, and none within the company could be more overjoyed than one of its partners, John Milton (Al Pacino). Kevin's ethics mesh well with Milton's, because Milton knows how to pick really, really horrible scum - depraved people, whom, because of who he is, Milton wants to keep out there in the world. And Kevin knows how to keep 'em right there.
Milton presents his protege a life impossible to resist: the girls, the money, the fancy apartment, a perfect environment to mature his considerable talent and feed the ego hand-in-hand "Because the law, my boy, puts us into everything."
It's during a case involving triple homicide that Kevin goes full- tilt, leaving responsibilities in his marriage in wait, breaking tiny promises to his wife and distancing his knowing, religious mother.
"Never let 'em see you coming" Milton tells him, meaning don't come off as anything special, and there's no threat. Yet, that's where the real threat comes from. Makes sense. I liked the subtle points made now and again, like a scene in which Kevin's mother asks him to quote scripture; when it seems like he can't, that must mean he isn't ready for what he has gone and gotten hisself into - but then, he does quote the verse, which means he is ready.
I also liked Charlize Theron, as the wife, though her character was equally under- and overdeveloped; under, in that her insanity seems to come out of left field (I think she mentioned something about a panick attack, but that's all the preparation we receive); over, in that the insanity is taken too far too quickly (what tells us she's the kind of person that would try to kill herself?).
If there's a deadspot, besides Reeves in almost every scene except the one I mentioned, it's the triple homicide thing. It goes nowhere, slow, when the very thing to solve it becomes and remains so obvious. The case merely serves as a turning- point of sorts for Kevin, and it should've taken up less movie.
Hey, why would Kevin get disbarred? I mean, don't lawyers sometimes do what he did?
Cool scene switching using a paint roller.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Recipes Made With Love
I have worked in the restaurant industry for 18 years and even ran a foodtruck once before. I love food and cooking, and this is a gallery of some of my favorite dishes
Cast Iron Grilled Ratatouille
Sweet Tea Pulled Pork BBQ Sliders with Bacon Devilled Eggs, Asian Slaw and Bacon BBQ Baked Beans


{%extends "base.html"%} {% block breadcrumb %} | Change a Captain {% endblock %} {%block body%}
{{ sitecaptain.type }} Captain Site #{{ sitecaptain.site.number }}


Register
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We Don't Have any MOTO
welcome to our Hotel
' Feel Like Home :)
Hotel's Description
For more information about our Hotel, Call 980XXXXXXX# Hotel-Website A Hotel Website which include Home page, About Us page, Gallery, Services and Contact Us pages.
We Don't Have any MOTO
' Feel Like Home :)
Hotel's Description
For more information about our Hotel, Call 980XXXXXXX


WITNESS LIST Appropriations Committee (Subcommittee on Major Information Systems) August 26, 1998-10:00A Year 2000 On: Allen, Wanda (DHS) Bailey, Don (OAG) Burney, Linda (TDCJ) Delgado, Ben (TDH) Eiland, Mark (OAG) Godwin, Pam Wolfe (TDH) Lauderdale, Mary (DPS) Miller, Jerry (TDH) Politte, Chris (Andersen Consulting) Porterfield, Shannon (DIR) Purcell, Carolyn (DIR) Roberts, Wayne (Andersen Consulting) Scott, Wayne (TDCJ) Vega, Jorge (OAG) Voyles, Robb (Andersen Consulting) Williamson, Diana (DHS)


{% load static %} {% load leaflet_tags %}
Head Office: Green marker | Regional Office: Grey marker | Field Office: Red marker


Sundance's New Frontier Goes XR
"New Frontier Chief Curator Shari Frilot and Active Theory co-founder Michael Anthony join us to talk about this bold new venture for the legendary film festival, as well as this year’s exciting line up of work in the New Frontier — which will inevitably shape the conversation in XR for the year to come."
Tickets for New Frontiers start at $25 and are on sale now.
Inverse Force Feedback for Satisfying VR Interactions
"One of the most well-known problems with physically-inspired interactions in virtual reality is that the virtual world provides no physical feedback. What if there were something we could do to evoke in VR some portion of a physically-inspired action’s inherent satisfaction?"
Using WebXR in HTML IFrames
"IFrames are really useful for WebXR. Often WebXR web pages are large with a lot of code and many 3D frameworks default to taking up all the available space on the page. IFrames solve these issues by letting you put all the XR code into another webpage, which can even be on a different domain, they also let you choose exactly how much space they take up on the page and can be used with Flexbox and CSS Grid."
6000+ Facebook People Are Working on XR
"Facebook’s VR, AR and hardware teams account for more than 6,000 employees, according to a person familiar with its staffing. That’s a larger group than Facebook has working on billion-user apps Instagram and WhatsApp."
WebGL Accessibility for React Three Fiber
The developer collective Poimandres has released react three a11y which
"brings accessibility to WebGL, with easy to use components react-three-fiber components to enable focus indication, keyboard tab navigation, and screen reader support."A demo is also available.


P1 Task 1 - Draw Your Initials¶
Note
When finished, submit the iRobot project code of your solution in Moodle
The goal of this task is to draw your initials. So for example “Robert Valner” would be drawn as “RV”, just like in figure 1. If you have more than 3 names then let’s try to do it with just 3, so that “Robert Arthur Billy Valner Junior” would be “RVJ”.
This task is meant to get you warmed up if you didn’t try out the tutorial examples on your own. Additionally this task allows us (the supervisors) to somehow acknowledge that it was likely “YOU” who did the tasks. But we’re all here to learn, so try to solve the tasks independently.


{% extends 'anonbase.html' %} {% block content %} You have activated your account. You can now log in with your username and password. Go In {% endblock content %}


THE NUTTY PROFESSOR A film review by James Berardinelli Copyright 1996 James Berardinelli
RATING (0 TO 10): 6.0 Alternative Scale: **1/2 out of ****
United States, 1996 U.S. Release Date: 6/28/96 (wide) Running Length: 1:35 MPAA Classification: PG-13 (Profanity, flatulence) Theatrical Aspect Ratio: 1.85:1
Cast: Eddie Murphy, Jada Pinkett, Larry Miller, Dave Chapelle, James Coburn Director: Tom Shadyac Producers: Brian Grazer and Russell Simmons Screenplay: David Sheffield, Barry W. Blaustein, and Steve Oederkerk based on the movie written by Jerry Lewis and Bill Richmond Cinematography: Julio Macat Music: David Newman U.S. Distributor: Universal Pictures
Eddie Murphy does not make "comebacks", because, according to him, he hasn't been out of the spotlight. But, following three critical and box-office flops (THE DISTINGUISHED GENTLEMAN, BEVERLY HILLS COP III, and VAMPIRE IN BROOKLYN), Murphy is hoping THE NUTTY PROFESSOR gets his career back on track. Combining his own brand of high-energy comedy with that of ACE VENTURA veterans Tom Shadyac and Steve Oederkerk, Murphy is attempting to appeal to as wide an audience as possible. And, while the flatulence-joke lovers who flocked to DUMB AND DUMBER will doubtless be overwhelmed, not to mention doubled-over, by this movie, those hoping for more cerebral humor are destined to be disappointed. THE NUTTY PROFESSOR aims for guffaws at the lowest level -- anyone with a double-digit IQ will get every joke. Whether you laugh at them or not is often more of a matter of taste than a question of having a sense of humor.
Murphy is very funny, giving his most manic, inspired performance in years, and playing no less than seven different roles. Too often, however, the script lets him down. I'll admit to laughing a number of times, but I couldn't help noticing all the squandered opportunities. THE NUTTY PROFESSOR should have been funnier than it is, but, by concentrating on bodily function humor, the film makers have limited Murphy's effectiveness.
This version of THE NUTTY PROFESSOR is loosely based on the 1963 Jerry Lewis comedy about a nerd inventing a potion that turns him into a lothario. That story, in turn, was a reworking of Robert Louis Stevenson's THE STRANGE CASE OF DR. JEKYLL AND MR. HYDE. It's interesting that in the last twelve months, we've seen three interpretations of this story. And, while THE NUTTY PROFESSOR isn't nearly as impressive as Stephen Frears' eerie, atmospheric MARY REILLY, it's infinitely more watchable than 1995's DR. JEKYLL AND MS. HYDE. Curiously, for a tale known best for its horrific elements, none of these movies fits into the traditional horror genre -- two are comedies and the other is a drama.
Murphy plays mild-mannered Sherman Klump, a 400-pound science professor at Wellman College. One day, the gorgeous, willowy Carla Purty (Jada Pinkett) walks through the door to Sherman's classroom and introduces herself as one of his biggest fans. The poor professor is instantly smitten, and embarks on a campaign to shed his extra pounds. Day-after-day, he works out, but an opportunity in his lab presents him with a quicker, easier way to shape up. A serum for re-aligning genetic structure has worked marvels for hamsters, so Sherman decides to become a human subject. Moments after gulping down the light blue contents of a vial, the overweight scientist has been replaced by his svelte, well- toned alternate self, Buddy Love. But, along with Buddy's perfect physique comes a nasty, out-of-control personality.
When it's not concentrating on members of Sherman's family passing gas, belching, or threatening to sneeze all over the dinner table, some of the comedy is cute. For example, in a nightmare sequence where Sherman imagines himself to be King Kong, his goal when reaching through the window of a skyscraper isn't the girl, it's a roast turkey. Among the other memorable sequences are an amusing takeoff on FROM HERE TO ETERNITY and the nicely-choreographed, climactic "battle" between Sherman and Buddy.
There's an underlying message in THE NUTTY PROFESSOR about self- respect and accepting people as they are (oddly, this is the same theme advanced by Disney's THE HUNCHBACK OF NOTRE DAME). Because Murphy's performance as Sherman makes us care about the character, it's easy to sympathize with his plight. Unfortunately, this aspect of the story, which is the most touching, is skimmed over, presumably because the material is too heavy for a comedy. Worse still, the presence of so many barbed fat jokes makes it easy to suspect THE NUTTY PROFESSOR of conflicted motives.
The visual effects are top-rate, recalling Jim Carrey's THE MASK. With the help of makeup guru Rick Baker, Murphy is equally believable as the hulking Sherman, his doddering grandmother, a Richard Simmons look- alike, and the slim-and-trim Buddy Love. It's a tour-de-force for the comic, and that almost makes THE NUTTY PROFESSOR worth seeing. Alas, this movie is a little too interested in easy jokes to bother with having a heart. And, in the end, we're not sure whether we're supposed to be cheering for Sherman or laughing at him.
- James Berardinelli e-mail<EMAIL_ADDRESS>ReelViews web site: http://www.cybernex.net/~berardin
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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belongs to the author.
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Related links: index of all rec.arts.movies.reviews reviews


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This Arduino sketch will read the current value of a point This sample requires an Arduino ethernet shield that is connected to your LAN with internet access. The ACTION parameter is what tells nimbits what to do with the point, other options are action=delete, and action=update to delete or apply changes to a point. Using update assumes you are also providing a point in json format using the json={} parameter.
You'll also need to provide an access key with privileges to read from a point Read about creating access keys on your account here
#include <SPI.h> #include <Ethernet.h> byte mac[] = {0x90, 0xA2, 0xDA, 0x00, 0x11, 0x15}; char serverName[] = "google.com"; EthernetClient client; void setup() { Serial.begin(9600); if (Ethernet.begin(mac) == 0) { Serial.println("Failed to configure Ethernet using DHCP"); while(true); } // give the Ethernet shield a second to initialize: delay(1000); Serial.println("connecting..."); // if you get a connection, report back via serial: if (client.connect(serverName, 80)) { Serial.println("connected"); client.println("GET<EMAIL_ADDRESS>HTTP/1.1"); client.println("Host:nimbits1.appspot.com"); client.println(); } else { Serial.println("connection failed"); } } void loop() { if (client.available()) { char c = client.read(); Serial.print(c); } if (!client.connected()) { Serial.println("disconnecting."); client.stop(); while(true); } }
This is an example of doing a GET to the point service to confirm a point exists.


Consider this seemingly innocuous Flask endpoint.
from myapp.token import TokenGenerator from myapp.decorators import email @app.route('/send-reset-password-token/<username>') @email def generate_auth_token_and_send_it(username): user = User.query.filter_by(username=username).first_or_404() token = TokenGenerator(secret_key=current_app.secret_key).dumps({'op': 'reset-token', 'username':user.username}) html_body = render_template('token-reset-email.html', token=token, user=user) return Message(body=html_body, receiver=user.email)
And, let's pretend the email decorator looks like this:
from myapp.extensions import emailer def email(f): def decorator(*args, **kwargs): message = f(*args, **kwargs) emailer.send(message, sender=current_app.config['ADMIN_EMAIL']) return redirect('front.homepage') return decorator
We might look at that and think, "Hey! That's pretty cool, sending the email is separated from composing the email! It's testable!"
Is it though?
What does the email decorator actually do? It intercepts a request from some endpoint and takes the message it returns and sends it. Then it redirects to some homepage. It's still coupled, we can't test either part without cranking up Flask and running the test server and worse still the logic is separated oddly.
The creation of the message is the endpoint's responsibility. But the sending of the email resides some place else. The end point obviously wants to send a notification to a user, but it doesn't. Instead it ends up just going "Well....uh...here's this message thing. I hope whoever gets it knows what to do with it." Similarly, the email decorator wants a message but it doesn't build one, it gets one from someplace else.
Mostly this tell us that the logic inside the email decorator was originally inside this endpoint, but someone got tired of typing emailer.send(msg, sender) all the time and decided that was the seam to split on. I'm not gonna cast stones, I've written things like this. My eyes would glaze over and became limp every time I'd need to do emailer.send(msg, sender).
However, all this decorator has accomplished is hiding the complexity instead of reducing it. Remember when you were young and your mom or dad would tell you to clean your room. And instead of cleaning it, you shoved everything into the closet and under the bed? Your room looked clean, but you only hid the mess.
...maybe you didn't do that, but I remember doing that. And I do the same thing in my code. But now, instead of shoveling the complexity into decorators and pushing it away and never dealing with it, I want to look at the complexity and think, "What's the best way to clean this and keep it from happening again?"
How can we fix it?
Before we touch anything, we should create a test harness (something I'm trying to force myself to do lately).
from unittest import mock import pytest from myapp import create_app from myapp.auth.views import generate_auth_token_and_send_it @pytest.fixture(scope="session") def app(): return create_app(config='test') @pytest.yield_fixture def app_context(app): with app.app_context(): yield app
These two things are a staple in my conftest.py for Flask applications. The first creates a single Flask app for the entire session. This might not be the best way to handle testing Flask apps, but it certainly speeds things up. If you don't have environment senstive things (checking for Redis, for example), this probably good enough for end-to-end testing, if you have that sort of thing...well, you'll probably want to create things create_app_with_redis or maybe use a parametrized fixture. I'm not going to get into that here though.
The app_context fixture is local to each function that wants it. It's much quicker to set up and teardown application contexts than a whole application, which makes sense.
Next, we'll want to batter our endpoint with tests. This part is no fun because we need to essentially test the endpoint through the UI.
from myapp.models import User, db from inspect import unwrap def test_generate_auth_token_and_send_it_calls_emailer(app_context): fred = User(username='fred'<EMAIL_ADDRESS>db.session.add(fred) db.session.commit() with mock.patch('myapp.decorators.emailer.send') as sender: generate_auth_token_and_send_it('fred') assert sender.called def test_expected_response_from_generate_auth_token_and_send_it(app_context): actual_function = unwrap(generate_auth_token_and_send_it) fred = User(username='fred'<EMAIL_ADDRESS>db.session.add(fred) db.session.commit() message = actual_function('fred') assert 'Your user token is' in message.body assert fred.email == message.receiver def test_failure_with_nonexistent_user(app_context): actual_function = unwrap(generate_auth_token_and_send_it) # first_or_404 calls abort, # intercepting that is easier than mocking the query with mock.patch('flask_sqlalchemy.abort') as aborter: actual_function('no freds') assert aborter.called
The very first thing you should notice is that these tests are hard to write. There's all sorts of setup, things are being mocked left and right. We have to mock something in the Flask-SQLAlchemy library! If nothing else sends up red flags, mocking something in a third party library should.
However, there's something important we've just learned: our design is bad. Trying to isolate this one function, and let's be honest there's things we've missed here, has put tremendous pressure on our thinking. The only reason I knew first_or_404 calls flask.abort is because I've contributed to the library.
There's also another, more insidious dependency we have: Python 3.4+
- Python 3.2 added the __wrapped__ attribute for functions wrapped with update_wrapper/wraps
- mock was added to unittest in 3.3. It is available as a third party library though.
- inspected.unwrap was added in 3.4, which can unwrap decorators using __wrapped__
So these tests can't run on almost every version of Python. We could ditch unwrap and simply call dig through to __wrapped__ ourselves, but there could be more decorators between @email and the actual function that get added in the future, breaking the tests and they'll be fixed by just doing this function.__wrapped__.__wrapped__.__wrapped__. The other option is implementing unwrap ourselves, which brings our dependencies down to just Python 3.2
How to fix it.
The first step is to stop hiding the complexity. And to me, that means bringing the emailer back into the endpoint.
@app.route('/send-reset-password-token/<username>') def generate_auth_token_and_send_it(username): user = User.query.filter_by(username=username).first_or_404() token = TokenGenerator(secret_key=current_app.secret_key).dumps({'op': 'reset-token', 'username':user.username}) html_body = render_template('token-reset-email.html', token=token, user=user) msg = Message(body=html_body, receiver=user.email) emailer.send(msg, sender=current_app.config['ADMIN_EMAIL']) return redirect('index.homepage')
The reason for this is that msg = Message(...) and emailer.send(...) form a logical unit. They want to be near to each other, originally they were in a long distance relationship and we all know long distance relationships are hard. We could simply pull both the message construction and the email sender out into a decorator, but then the function name is wrong. It's no longer generate_auth_token_and_send_it it's generate_auth_token_and_return_some_structure_a_decorator_deals_with.
By moving that logic back inside the endpoint, we've eliminated our hard dependency on Python 3 (there's nothing to unwrap right now, and mock can be pip installed). Things are looking up already. If you're modifying your tests along with your source code, you can remove the unwrap lines now.
What's the use case?
The next step is to look at the story the endpoint is telling us:
- Given a username, the endpoint locates the proper user
- When the user is found, the endpoint generates a token for password resets for the user
- Then the endpoint generates an email
- The endpoint sends the email
- Finally the endpoint redirects to the homepage
There's also an error case:
- If the endpoint can't find the user, it redirects to an error page
By doing this, we can completely pull the actual logic out into it's own function:
def send_user_reset_token(user): token = TokenGenerator(secret_key=current_app.secret_key).dumps({'op': 'reset-token', 'username':user.username}) html_body = render_template('token-reset-email.html', token=token, user=user) msg = Message(body=html_body, receiver=user.email) return emailer.send(msg, sender=current_app.config['ADMIN_EMAIL']) @app.route('/send-reset-password-token/<username>') def generate_auth_token_and_send_it(username): user = User.query.filter_by(username=username).first_or_404() send_user_reset_token(user) return redirect('index.homepage')
That's even better. Our test through the UI can be replaced with something a little simpler:
def test_do_we_send_the_token(app_context): fred = User(username='fred'<EMAIL_ADDRESS>db.session.add(fred) db.session.commit() with mock.patch('myapp.auth.view.send_user_reset_token') as sender: generate_auth_token_and_send_it('fred') assert sender.called
I'm not completely happy with this test, but it's okay. However, before we completely divert our attention from the endpoint test, let's fix the second test where we mock flask_sqlalchemy.abort:
@app.route('/send-reset-password-token/<username>') def generate_auth_token_and_send_it(username): user = User.query.filter_by(username=username).first() if not user: flash('Username not found') return redirect('generate_auth_token_and_send_it') send_user_reset_token(user) return redirect('index.homepage') # in the tests from flask import get_flashed_messages def test_failure_with_nonexistent_user(app_context): with mock.patch('myapp.auth.view.send_user_reset_token') as sender: generate_auth_token_and_send_it('fred') assert not aborter.called assert 'Username not found' in get_flashed_messages()
We still need to spin up Flask to run these tests, but they're simpler. The negative assertion in this test can be dangerous, but it's paired with a positive assertion so I feel fine with having it.
That leaves just the emailer and the token generator to deal with. The reason for emailer to be mocked out is obvious, but the token generator might be less obvious. If it's a good token generator, you won't be able to know ahead of time what it'll generate, it also has a hard dependency on our application. Both of these make it hard to test.
The emailer problem I've addressed else where, we just build an interface we want to use and pass the implementation in. We'll do the same for the token generator. The dumps/loads interface is pretty common, so we could even subsitute the regular json module for it. So the actual logic really becomes:
def send_user_reset_token(user, tokenizer, notifier): token = tokenizer.dumps({'op': 'reset-token', 'username': user.username}) payload = 'Your reset token is {0}'.format(token) return notifier.notify(user, token) @app.route('/send-reset-password-token/<username>') def generate_auth_token_and_send_it(username): user = User.query.filter_by(username=username).first() if not user: flash('Username not found') return redirect('generate_auth_token_and_send_it') notifier = EmailNotifier(sender=current_app.config['ADMIN_EMAIL'], as_html=True) tokenizer = TokenGenerator(secret_key=current_app.secret_key) send_user_reset_token(user, tokenizer, notifier) return redirect('index.homepage')
And our tests against the actual logic become really easy.
from collections import namedtuple def send_user_reset_token(user, tokenizer, notifier): token = tokenizer.dumps({'op': 'reset-token', 'username': user.username}) payload = 'Your reset token is {0}'.format(token) return notifier.notify(user, token) DummyUser = namedtuple('DummyUser', ['username', 'email']) DummyNotifier = namedtuple('DummyNotifier', ['notify']) DummyTokenizer = namedtuple('DummyTokenizer', ['dumps', 'loads']) def test_send_user_reset_token(): user = DummyUser('fred'<EMAIL_ADDRESS>notifier = DummyNotifier(lambda user, token: (user, token)) tokenizer = DummyTokenizer(loads=lambda data: data, dumps=lambda data: data) result = send_user_reset_token(user, tokenizer, notifier) assert result == (user, {'op': 'reset-token', 'username': 'fred'})
This is a collaboration test not a unit test because our send_user_reset_token relies on the behavior of others, but it's isolated completely from the outside world. We can test that it behaves correctly by simply handing it things we know work. If we wanted to make sure it talks correctly to these things, we could simply use a spying double and assert that each bit was called.
If it were more complicated, say it looped through some data set, we could pass it five different kinds of data sets to see how it behaves with each (those five are: empty, one, many, lots, and blows up; this is one of things Integrated Tests are a Scam taught me).
So let's stop yanking out the complexity and simply shoving it someplace else and saying, "Look how clean it is! ...no, no, no don't pop open the decorators file!" Instead, let's look the complexity in the eye and say, "I'm going to control you before you control me!"
Now, if you pardon me, I have a closet to organize.
I spilled my brains, spill some of yours.


--- layout: post title: no title date: '2015-05-14T19:30:36+02:00' categories: - Sketchbooks picture_url: https://film-Storyboards.tumblr.com/post/118986185566 ---


Count down to Black Friday with this half-price air fryer on Amazon
by Joseph GreenTL;DR: The Philips HD9220/20 air fryer is on sale for £99.99 on Amazon, saving you 50% on list price.
Amazon is counting down the days to its Black Friday sale with its "Countdown to Black Friday Sale." It's not the most imaginative title we've ever seen, but you get the idea.
Shoppers can now save on a wide range of products from some of the biggest brands, and whilst we're expecting most of the best deals to drop closer to Nov. 29, you can still pick up a bargain if you look closely.
There are a number of deals to consider, but perhaps the most impressive is the discounted Philips HD9220/20 air fryer. This device is usually listed at £200, but is now available for just £99.99 on Amazon. This half-price deal doesn't have a deadline, so it's unlikely to drop any further.
When it comes to Black Friday, it often pays to be patient, but when you're presented with a 50% discount without a deadline, we recommend making the most of the opportunity.
Get ahead of the crowds and save on this Philips air fryer.
Philips HD9220/20 Air Fryer — £99.99 (list price £200) See Details


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The requested page


public class Board
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
private int |
counter |
private int |
N |
private int |
NUM_PIECES_PER_LAYER |
private int[] |
pieces |
private int[][] |
piecesHistory |
private int |
repeats |
| Constructor and Description |
|---|
Board(int N)
Constructs an array representation of the board.
|
Board(int N,
int[] pieces)
Constructs an array representation of the board given a preset state.
|
| Modifier and Type | Method and Description |
|---|---|
private boolean |
boardIsEqual(int[] board1,
int[] board2)
Checks 2 boards to see if they are equal
|
int |
checkWinner()
This method checks to see if there is a winner
|
int[] |
getBoardState()
Return the current state of the board
|
int |
getN()
Returns the number of squares on the board.
|
int |
getPieceState(int number)
Return the current state of the piece (black, red or blue)
|
int |
getRepeats()
Returns the number of repeats
|
private boolean |
historyIsEqual(int[][] history1,
int[][] history2)
Checks 2 history arrays to see if they are equal
|
int[] |
millExists(int i)
This method checks to see if a mill exists at a given index i
|
boolean |
onlyMillsLeft(int colour)
This method checks to see if there are only mills left for a given colour.
|
void |
setPieces(int[] pieces)
Initializes the pieces array.
|
void |
setPieceState(int number,
int state)
Set the state of a piece on the board
|
private int N
private final int NUM_PIECES_PER_LAYER
private int[] pieces
private int[][] piecesHistory
private int counter
private int repeats
public Board(int N)
N
- Number of squares needed for the board.N
- determines if 6, 9, 12 Men's Morris is being played, and allows for easy change.public Board(int N, int[] pieces)
N
- Number of squarespieces
- is a pre-determined number of pieces (this also allows for simple change in game logic)public void setPieces(int[] pieces)
pieces
- is an integer array of positions to place pieces
allow for access to number of squares, and piece array for custom functionspublic int getN()
public int getRepeats()
public void setPieceState(int number, int state)
number
- will help us declare what state the board is in (0 = not started, 1 = play mode , 2 = debug mode)state
- will be the value we get as a result of calling this methodprivate boolean historyIsEqual(int[][] history1, int[][] history2)
history1
- The first history arrayhistory2
- The second history arrayprivate boolean boardIsEqual(int[] board1, int[] board2)
board1
- The first boardboard2
- The second boardpublic int[] getBoardState()
public int getPieceState(int number)
number
- is an index that will help determine the piece statepublic int[] millExists(int i)
i
- The index to searchpublic boolean onlyMillsLeft(int colour)
colour
- The colour to checkpublic int checkWinner()


org.pdfbox.pdmodel.interactive.form
Classes
PDAcroForm
PDAppearance
PDCheckbox
PDChoiceButton
PDChoiceField
PDField
PDFieldFactory
PDPushButton
PDRadioCollection
PDSignature
PDTextbox
PDUnknownField
PDVariableText
PDXFA


Introduction to Git
Git is a software development tool that allows for the tracking of changes to files. It is the base code that GitHub itself runs on. As such, understanding it is important to understanding GitHub as a whole. This section of the ReadMe will serve as a basic tutorial for the Git command line.
Step 1: Installing Git
To start, you will need to download Git. If you have a Windows computer, click here. On macOS, open up OSX Terminal and type git --version
, and you will be prompted to install it if it was not already.
Step 2: Using the terminal to create a repository.
Open up your terminal (Windows Command Prompt on Windows or OS X Terminal on Macintosh). First, type in the word "git", and hit enter, just to make sure it installed correctly. From there, it's time to create the folder to host your repository. Type mkdir folderName
, where folderName is the name of your repository. This will create a folder (or, director) with that name. To enter that folder, type cd folderName
.
Step 3: Creating the ReadMe
The ReadMe file in a repository contains information about the other files in the repository. It should say what's included in the repository, like is seen in the first section of this file. In order to create a ReadMe for your preexisting directory, like the one you're in now,, type echo "# folderName" >> README.md
.
With the ReadMe created, it's time to access Git. Type git init
to intiialize Git within this directory. Now, it's always good to know when changes have occued to a file. To do so, type git add README.md
. You can do this for any file that you want the history of changes to be saved for.
Step 4: Creating a Commit
A "Commit", in the Git world, is more or less how you save a change to a repository. It is a statement that you are commiting to the changes that you have made. In order to do this for the first time in a directory, type git commit -m "first commit"
.
Step 5: Creating a GitHub repository
Now, you'll need to be sure you have a Github account. Once you do, go to the GitHub website and choose "Start a project".
From here, you will find yourself entering the basic information for your repository. The name, the owner, whether or not the project is publicly accessible, etc. Once all that is filmed out, click "Create repository".
Step 6: Exporting a respository to GitHub
It's finally time to upload this directory to GitHub. From the command terminal, type git remote add origin https://github.com/yourUsername/folderName.git
. This code adds a remote named Origin to the address listed in the code. Origin is just a placehoder name, so if you want to use another name you can.
Selected Git Applications
There are a number of applications that can be used to access the Git command line. A few suggested applications are listed below:
GitHub Desktop
GitHub desktop is a first party extension of GitHub that allows users to access their repositories directly on their PC. It's the first application suggested for use when a project is being hosted on GitHub. Most regular Git and GitHub operations are available directly through this app, and changes can be very easily tracked through this system. Generally, GitHub Desktop should be used unless another app has something specific that your project needs. It is available for both Windows and MacOS.
Sourcetree
Sourcetree is a simplified Git platform that seeks to simplify the project of hosting a project with Git. It allows for easy visualization of code, as well as a simplified project structure. Despite the simplified design, however, it is also more advanced than GitHub Desktop, providing multitudes of new features, including an increased focus on submodules/subtrees, large file support, and an interactive update to the regular rebase tool. It's easy for beginners to learn, and introduces plenty of new tools, but still loses some functionality from other apps, such as the command line. It is also completely free, with no upgraded version with more features, like other, similar products. Sourcetree is available for both Windows and MacOS.
GitKraken
GitKraken is among the more feature-rich Git apps. It comes with a built-in code editor, numerous collaborative features, and supports multiple different Version Control Systems, including GitHub, GitLab and Bitbucket. Its pro version is also cheaper than GitHub's, and it offers a free pro upgrade for students and educators. GitKraken is available on both Windows and MacOS.


Tom and Jerry is an American animated franchise and series of comedy short films created in 1940 by William Hanna and Joseph Barbera. Best known for its 161 theatrical short films by Metro-Goldwyn-Mayer, the series centers on the rivalry between the titular characters of a cat named Tom and a mouse named Jerry. Many shorts also feature several recurring characters.
Ok, we all know who this guy is. It is a tomcat, a male cat - hence the simple name Tom. Did you know that his name when he first appeared was Jasper. Not cool, right? Tom is much much better.  He would probably lead boring life if he lived alone. But he is not alone. There is a little mouse who lives under the same roof who just won't let him be.
Little brown mouse with a typical American name is called Jerry.  Kids who live in the coolest parts of Alaska, or the driest part of Sahara desert, or the rain forests of Brasil, probably they all already know who Tom and Jerry were. To cut the long story short, Jerry is sharing food with Tom and most of the time that is a big problem for Tom. Better word instead of sharing would be stealing. Well, what can he do. People keep cats as pets mostly. They don't like mice that much.
Love and Hate, at the same time. These two guys are basically friends, as they have a great time trying to trick one another. It all looks extremely violent at first sight, but really it's not. Nobody ever got hurt. Everything they do to each other is more like having a blasts of fun as everything goes well for them at the end. Tom and Jerry relationship is actually quite complicated, there's an interesting post right here. Kids, no matter how young, realize it's all fake and not for real.


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{% include 'includes/_messages.html' %}
{% from "includes/_formhelpers.html" import render_field %}


Click here to place a new order
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174
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35
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Existing Partner
Date: 2015-03-04
Store Name: Cindi's Diamond and Jewelry Gallery
Last Name: Haddad-Drew
First Name: Cindi
Address: 40 Central Street, Foxborough, MA. 02035
Phone:<PHONE_NUMBER>
e-mail: www.cindisjewelry.net
Terms: 30-60
Notes: Rings 8F2S...please make one size 9 and other size 10. on the Roman Ring, make size 9.5 and 6-14-1965 (June 14, 1965)
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Ingmar just posted about the new go.jou design and I have to say that I really like it. Watch the last setence though: English and chinese will follow asap. :)
The site kind of feels very bloggish. Congrats to all those involved!
Ingmar just posted about the new go.jou design and I have to say that I really like it. Watch the last setence though: English and chinese will follow asap. :)
The site kind of feels very bloggish. Congrats to all those involved!
John Battelle just posted about Joe Kraus starting to blog. I had a great chat with Joe some time back and am looking forward to seeing some of his thoughts in writing. I expect some interesting things.
Scoble has a nice post about FooCamp linking to lots of pictures as well as the FooCampers List on the event wiki. I love this quote from him:
It’s a real joy to watch someone who knows far more than you do explain what they are doing in language that makes you think you can keep up.
You could also say Thunderbirds are back! The makers of South Park are coming out with a new movie. Check out the Trailer: Team America: World Police
Based on a little chat here at work I just found Dom Famularo again, the drum teacher of my then drum teacher in Bruxelles. The cool thing is that you can find some of his lessons online. Check it out: Dom Famularo’s Cyber Lessons
Ok, the title is not mine. It is by Paul Ford and it rocks. An amazing piece, old but not outdated, with interesting thoughts on the future just to get you thinking. I’ll stop here and just let you read it: August 2009: How Google beat Amazon and Ebay to the Semantic Web
If you are still in doubt that Wikipedia, a Wiki that everyone out there can edit and change around, can work, I suggest you check out Joi’s post entitled Wikipedia heals in 5 minutes. It links to a study (with an amazing graph by the way) from IBM about History Flow visualisation as they call it. What they did was analyse how long it takes for a deleted or greatly changed page in Wikipedia to be reactivated with the original correct one. The average is 5 minutes!!!
To quote General Shinseki: "If you don’t like changge, you’re going to like irrelevance even less."
I just read Ross Mayfield’s post Wikis Anonymous and it includes (among others) a wonderful quote which is very nice for those working with Wiki’s ;):
Please, grant me the serenity to accept the pages I cannot edit, The courage to edit the pages I can, And the wisdom to know the difference â€”The Wiki Prayer
Jeremy Zawodny has a great piece entitled Next Generation Web Services: Flickr which gives a good bit of detail on why Flickr really really kicks. They are embracing with full force what is currently happening in the web world, putting APIs out to interact with the service, enabling it to become a platform in the end. this is what Web 2.0 is all about, the new network out there that isn’t only hosted content anymore but full interactivity.


| AlertSceneController |
This class implements the controller of a generic Alert Scene.
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| BoardSceneController |
This class implements the controller of the scene of the board.
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| ColorSceneController |
This class implements the controller of the scene where users pick their own color.
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| ConnectSceneController |
This class implements the scene where users connect to the server.
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| FirstPlayerSceneController |
This class implements the controller of the scene where the first player choose the first user.
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| GodInfoSceneController |
This class implements the scene which shows information about a given god.
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| GodsSceneController |
This class implements the scene where players choose their gods.
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| LobbySceneController |
This class implements the scene where players wait for other players to join the game.
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| LoginSceneController |
This class implements the scene where users choose their nicknames.
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| MenuSceneController |
This class implements the main menu scene.
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| PlayersNumberSceneController |
This class implements the scene where the game host chooses the number of players who are going to play.
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| WinSceneController |
This class implements the scene which shows that a player has won the game.
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--- title: Core keywords: fastai sidebar: home_sidebar nb_path: "00_core.ipynb" ---
This is the core module, which loads the CLIP model and the encodings of all the images in the folder, then tokenizes the search text or image, and finally returns a sorted list of filenames.
Express this as a process and nouns, instead of a blob sentence. The next part doesn't count because it's a whole new heading and it's crufted with nerd talk. Say clearly what the core flow is here. Something like:
Memery takes a folder of images, and a search query, and returns a list of nearest neighbors to the query.
The query flow and index flow can be used separately, but by default the query flow calls the indexing flow on each search. Image encodings are saved to disk. Only new images will be encoded with each indexing.
d
I'm using the Neural Search design pattern as described by Han Xiao in e.g. General Neural Elastic Search and Go Way Beyond&c.
This is a system designed to be scalable and distributed if necessary. Even for a single-machine scenario, I like the functional style of it: grab data, transform it and pass it downstream, all the way from the folder to the output widget.
There are two main types of operater in neural search: flows and executors.
Flows are specific patterns of data manipulation and storage. Executors are the operators that transform the data within the flow.
There are two core flows to any search system: indexing, and querying. The plan here is to make executors that can be composed into flows and then compose the flows into a UI that supports querying and, to some extent, indexing as well.
The core executors for this use case are:
Gateway Process -- not yet implemented
Takes a query and processes it through either Indexing Flow or Querying Flow, passing along arguments. The main entrypoint for each iteration of the index/query process.
Querying Flow can technically process either text or image search, becuase the CLIP encoder will put them into the same embedding space. So we might as well build in a method for either, and make it available to the user, since it's impressive and useful and relatively easy to build.
Eventually the Gateway process probably needs to be quite complicated, for serving all the different users and for delivering REST APIs to different clients. We'll need a way to accept text and images as HTTP requests and return JSON dictionaries (especially at the encoder, which will remain server-bound more than any other executor).
Do i actually need any of this? Perhaps if i'm going to implement it myself. But won't i just end up using Jina oonce it gets implemented fully? Or something similar? Well in any case this is meant to be a readable document, so i can explain how this is meant to owrk in the future without being so obtuse that it becomes an obstacle to reading further...
The index_flow
checks the local directory for files with image extensions, loads the archive, splits out any new images to be encoded and encodes them, then finally builds a treemap and saves it along with the new archive. It returns a tuple with the locations of the archive and treemap.
Split this up into small chunks with code tests. No blob sentences!
Path('images/memery.pt').unlink()
Path('images/memery.ann').unlink()
save_paths = index_flow('./images')
assert save_paths
save_paths
The query_flow
takes a path and a query, checks for an index, loads it and searches through the treemap if it exists, and calls index_flow
to index it first if it hasn't been.
BLOB!
Then what?! What are the limitations of this system? What are its options? What configuration can i do if i'm a power user? Why did you organize things this way instead of a different way?
This, and probably each of the following notebooks, would benefit from a small recording session where I try to explain it to an imaginary audience. So that I can get the narrative of how it works, and then arrange the code around that.