Stateful Functions 3.1.0 Release Announcement
August 31, 2021 - Seth Wiesman (@sjwiesman) Igal Shilman (@IgalShilman) Tzu-Li (Gordon) Tai (@tzulitai)Stateful Functions is a cross-platform stack for building Stateful Serverless applications, making it radically simpler to develop scalable, consistent, and elastic distributed applications. This new release brings various improvements to the StateFun runtime, a leaner way to specify StateFun module components, and a brand new GoLang SDK!
The binary distribution and source artifacts are now available on the updated Downloads page of the Flink website, and the most recent Java SDK, Python SDK, and GoLang SDK distributions are available on Maven, PyPI, and Github repecitvely. You can also find official StateFun Docker images of the new version on Dockerhub.
For more details, check the complete release changelog and the updated documentation. We encourage you to download the release and share your feedback with the community through the Flink mailing lists or JIRA!
New Features #
Delayed Message Cancellation #
Stateful Functions communicate by sending messages, but sometimes it is helpful that a function will send a message for itself. For example, you may want to set a time limit on a customer onboarding flow to complete. This can easily be implmented by sending a message with a delay. But up until now, there was no way to indicate to the StateFun runtime that a particular delayed message is not necessary anymore (a customer had completed their onboarding flow). With StateFun 3.1, it is now possible to cancel a delayed message.
...
context.send_after(timedelta(days=3),
message_builder(target_typename="fns/onboarding",
target_id="user-1234",
str_value="send a reminder email"),
cancellation_token="flow-1234")
...
To cancel the message at a later time, simply call
context.cancel_delayed_message("flow-1234")
Please note that a message cancellation occurs on a best-effort basis, as the message might have already been delivered or enqueued for immediate delivery on a remote worker’s mailbox.
New way to specify components #
StateFun applications consist of multiple configuration components, including remote function endpoints, along with ingress and egress definitions, defined in a YAML format.
We’ve added a new structure that treats each StateFun component as a standalone YAML document in this release.
Thus, a module.yaml
file becomes simply a collection of components.
kind: io.statefun.endpoints.v2/http
spec:
functions: com.example/*
urlPathTemplate: https://bar.foo.com/{function.name}
---
kind: io.statefun.kafka.v1/ingress
spec:
id: com.example/my-ingress
address: kafka-broker:9092
consumerGroupId: my-consumer-group
topics:
- topic: message-topic
valueType: io.statefun.types/string
targets:
- com.example/greeter
---
kind: io.statefun.kafka.v1/egress
spec:
id: com.example/my-egress
address: kafka-broker:9092
deliverySemantic:
type: exactly-once
transactionTimeout: 15min
---
While this might seem like a minor cosmetic improvement, this change opens the door to more flexible configuration management options in future releases - such as managing each component as a custom K8s resource definition or even behind a REST API. StateFun still supports the legacy module format in version 3.0 for backward compatibility, but users are encouraged to upgrade. The community is providing an automated migration tool to ease the transition.
Pluggable transport for remote function invocations #
It is possible to plugin a custom mechanism that invokes a remote stateful function starting with this release. Users who wish to use a customized transport need to register it as an extension and later reference it straight from the endpoint component definition.
For example:
kind: io.statefun.endpoints.v2/http
spec:
functions: com.foo.bar/*
urlPathTemplate: https://{function.name}/
maxNumBatchRequests: 10000
transport:
type: com.foo.bar/pubsub
some_property1: some_value1
For a complete example of a custom transport you can start exploring here. Along with a reference usage over here.
Asynchronous, non blocking remote function invocation (beta) #
For this release we’ve included a new transport implementation (opt in for this release) that is implemented on top of the asynchronous Netty framework. This transport enables much higher resource utilization, higher throughput, and lower remote function invocation latency.
To enable this new transport, set the transport type to be io.statefun.transports.v1/async
Like in the following example:
kind: io.statefun.endpoints.v2/http
spec:
functions: fns/*
urlPathTemplate: https://api-gateway.foo.bar/{function.name}
maxNumBatchRequests: 10000
transport:
type: io.statefun.transports.v1/async
call: 2m
connect: 20s
Take it for a spin!
A brand new GoLang SDK #
Stateful Functions provides a unified model for building stateful applications across various programming languages and deployment environments. The community is thrilled to release an official GoLang SDK as part of the 3.1.0 release.
import (
"fmt"
"github.com/apache/flink-statefun/statefun-sdk-go/v3/pkg/statefun"
"net/http"
)
type Greeter struct {
SeenCount statefun.ValueSpec
}
func (g *Greeter) Invoke(ctx statefun.Context, message statefun.Message) error {
storage := ctx.Storage()
// Read the current value of the state
// or zero value if no value is set
var count int32
storage.Get(g.SeenCount, &count)
count += 1
// Update the state which will
// be made persistent by the runtime
storage.Set(g.SeenCount, count)
name := message.AsString()
greeting := fmt.Sprintf("Hello there %s at the %d-th time!\n", name, count)
ctx.Send(statefun.MessageBuilder{
Target: *ctx.Caller(),
Value: greeting,
})
return nil
}
func main() {
greeter := &Greeter{
SeenCount: statefun.ValueSpec{
Name: "seen_count",
ValueType: statefun.Int32Type,
},
}
builder := statefun.StatefulFunctionsBuilder()
_ = builder.WithSpec(statefun.StatefulFunctionSpec{
FunctionType: statefun.TypeNameFrom("com.example.fns/greeter"),
States: []statefun.ValueSpec{greeter.SeenCount},
Function: greeter,
})
http.Handle("/statefun", builder.AsHandler())
_ = http.ListenAndServe(":8000", nil)
}
As with the Python and Java SDKs, the Go SDK includes:
- An address scoped storage acting as a key-value store for a particular address.
- A unified cross-language way to send, receive and store values across languages.
- Dynamic
ValueSpec
to describe the state name, type, and possibly expiration configuration at runtime.
You can get started by adding the SDK to your go.mod
file.
require github.com/apache/flink-statefun/statefun-sdk-go/v3 v3.1.0
For a detailed SDK tutorial, we would like to encourage you to visit:
Release Notes #
Release Notes #
Please review the release notes for a detailed list of changes and new features if you plan to upgrade your setup to Stateful Functions 3.1.0.
List of Contributors #
Evans Ye, George Birbilis, Igal Shilman, Konstantin Knauf, Seth Wiesman, Siddique Ahmad, Tzu-Li (Gordon) Tai, ariskk, austin ce
If you’d like to get involved, we’re always looking for new contributors.


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December 2018 - Current
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Backstroking with Dragons Lake Placid
by Ross Anthony
Kind of a cuter smaller version of the recent "Godzilla," "Lake Placid" is actually a slightly better movie. Where "Godzilla" makes the head hurt, "Placid" splashes up a bit fun. A solid "B" movie.
Basically, something big in a New England Lake bites a swimmer in half, so paleontologist (Bridge Fonda) flies in from New York to investigate. She teams up with a handsome ranger guy, small town sheriff, and hippie crock-doc who likes to backstroke with the dragons.
The dialogue between the four is throw-away sarcasm; still, a few beauts slither through. And honestly, the interaction between the sheriff and crock-doc is very amusing. It nearly takes over the movie and it should.
There's a scene where the fearless crock-doc jumps into the sea-monster's waters, finding himself face to jaws he advises the beast, "I know biting my head off right now might seem viable ... but it would cheapen you."
The mysterious reptile below the surface is the least implausible of the unlikelies in this picture, but if you're willing to swallow them whole, you might just have fun. Further, you'll get to see Betty White swearing like one of the South Park gang. Now that's a good time.
Starring Bill Pullman, Bridget Fonda, Oliver Platt. Directed by Steve Miner. Written by David E. Kelley. Produced by David E. Kelly and Michael Pressman at Phoenix/20th Century Fox.
Grade ......................................... B
(C) 1999 Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://RossAnthony.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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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.
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Armageddon
Hello kids. Today the movie studios want to take over my critical review, and somehow persuade you that _Armageddon_, the summer's biggest blockbuster, is a film for everybody. And remember, if a film is for _everybody_, and if it makes the most money for the summer, it _must_ be good, right?
Armageddon is a COMEDY, with a capital "C". It stars BRUCE WILLIS, who has a hundred one-liners! It has a tiny rock land directly in the middle of a heated argument in New York City!! And, chuckle, chuckle, one of those New Yorkers, _survives_, with charcoal all over his face!! Snorkle, *sniff*, hiccup. And it has Steve Buscemi as a _genius_ who wants to work for an oil rig? Knee-SLAP!! Isn't this just so, so, funny!?
Armageddon also has ROMANCE, with a capital "R". It has a tender moment between *forbidden lovers* Ben Affleck and Liv Tyler, with, with, Animal Crackers! And it has Will Patton as a long lost husband trying to reunite with his separated wife and child, who thinks he's a SALESMAN! Gurgle, *sniff*, awwwww. And it has Steve Buscemi spewing more one-liners about minors and strippers. Umm, moving right along...
Armageddon also has lots of ACTION, with a capital "A". Not just any action sequence would do. It must have _original_ action sequences that are designed to thrill. Like, DRILL, darn it, DRILL!!!  Can't you hear your heart beating!? And Steve Buscemi goes crazy and starts shooting at people!! What drama!!
Lastly, Armageddon is out there to save the PLANET, with a capital "P". This can't be any old thriller--we must have an asteroid, the size of Texas head straight for earth!! And, and, we must have beautiful scenic worldwide shots, like Paris, BLOWN UP. And, and, we must have peoples of all colors, nations, and religions, join hand in hand for one final, hopeful, HUG. The final sequence, where Muslims in prostrate worship stand up--in Domino fashion--to cheer the victory, filled me with such emotional goo that I wanted to, to, to rip the screen into shreds!!  (It was over).
Comedy. "C". Romance. "R". Action. "A". Planet. "P". Okay, kids, what does that spell?
Seriously, folks. Any film that could take the indie-films' most valuable talents, and throw it all away with a Bruce Willis vehicle, a hundred-million dollar budget, but have cheap-o sets and lousy special effects, is, bottom line, living proof that hell exists, and has made a multi-picture deal with Universal.
In the midst of all the action, the terseness, the one-liners, the fake sets, the overall WASTE of TIME, I recognized Matt Malloy playing an underwritten NASA technician ("Malloy, give me a reading"). Remember him? He was a principal player in last year's _In the Company of Men_, a film that was more powerful, shocking, terrifying, funny, and shocking than _Armageddon_ could ever aspire to be. _Armageddon_ cost over $100 million to make. _ITCOM_ cost a paltry $30,000. Need I say more?
Nick Scale (1 to 10): 2
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


Host your HTML for 1hr!
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It's fairly simple to use, you submit your raw HTML; get back a random generated URL,
and that's about it.
Important: The links are/will be kept alive only for 1hr. This is considering
NSFW content, legal issues etc. since everything is completely anonymous and 0% tracked.
It was built out of a developer's frustration, please use responsibly.
About
If you've tried hosting a simple HTML file, be it for sharing with someone or just for the kicks. You know it's a time consuming task. There are some solutions out there but requires registration, or is just tedious and some are on the way of becoming a great experience. At least for me, none of the existing solutions worked, and I had a very specific usecase as well!
So I was out setting up custom error pages on Cloudflare. If you've used their service and have setup custom erorr pages, you know they require a URL where your template is hosted, and won't accept the HTML as is. And that's where my journey started, after searching around and trying to use some of the services, finally I hosted it as a Github page. For me it turned out to be a time consuming endeavour and I didn't think it was worth it, and thus https://hosthtml.live!
Techstack
For anyone interested in knowing the techstack behind this
And here's the sourcecode.


Teen Boy Admits Killing 13-Year-Old Girl Over ‘Pregnancy Scare’
by Violet JohnsonA teen boy named Isiah Lynch has admitted to shooting a 14-year-old girl dead after falsely believing that she was pregnant with his child.
According to Canton Rep, he pleaded true — the juvenile equivalent of guilty —Wednesday to a murder charge for the March fatal shooting of the 14-year-old identified as Sylvia McGee.
Sylvia McGee was shot in the head with a .38-calibre pistol not far from her home in Canton, Ohio, in March.
‘That is what I believe got this whole thing started,’ Stark County Assistant Prosecutor Michelle Cordova said last Wednesday according to the Canton Rep.
‘There was no evidence of any other reason for this.’
Cordova added that an autopsy had found that McGee was not pregnant.
McGee’s great aunt, Carlina Hanley, told the Canton paper: ‘[He] should have just admitted it from the beginning. She didn’t deserve that … She wasn’t that type of a kid. She was upbeat and funny. I just can’t believe that he did that.’
Her grandmother, Sylvia Milina, told ABC at the time of Sylvia’s death: ‘She didn’t even have a chance … It was like it was a set up to me because she’s never been out at that time.’
The boy accepted a plea deal to bring an aggravated murder charge down to murder and will remain in a youth detention facility until he is 21-years-old and then undergoes a psychological evaluation.
Beyond that, the boy could then be sent to an adult prison for 18 years to life, the Stark County prosecutor said.
Lynch’s sentencing is set to hold in January.


17 Rooms
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Extraction of text from various content types (for the purpose of fulltext indexing), allows registering new text extractors.


rate_limiter
This shard provides a Crystal implementation of the token bucket algorithm for rate limiting. You can check out the API documentation here.
Installation
1 - Add the dependency to your shard.yml
:
dependencies:
rate_limiter:
github: lbarasti/rate_limiter
2 - Run shards install
Usage
Remember to import the shard at the top of your file.
require "rate_limiter"
Now you can initialise a rate limiter that produces 1 token every few seconds
rl = RateLimiter.new(interval: 3.seconds)
Mind that the first call to #get
will return immediately, as buckets are initialised with 1 token, by default.
rl.get # => RateLimiter::Token(2020-11-29 20:36:56 UTC)
The next call to #get
will block for approx. 3 seconds
start_time = Time.utc
rl.get
Time.utc - start_time # => 00:00:03.000426843
We can also provide a max_wait
parameter to #get
.
rl.get(0.5.seconds)
This call will block for at most 0.5 seconds. If a token is not returned within that interval, then a RateLimiter::Timeout
is returned.
Rate limiters also expose non-blocking methods.
rl.get? # returns `nil` if no token is available
rl.get! # raises a RateLimiter::Timeout exception if no token is available
You can pass #get!
a max_wait
parameter.
rl.get!(1.second)
This will raise a RateLimiter::Timeout
exception if no token is returned within a 1 second interval.
Burst size
You can define a rate limiter that accumulates unused tokens up to the specified value by providing a max_burst
parameter to RateLimiter.new
- the default is 1.
RateLimiter.new(rate: 0.5, max_burst: 10)
This will generate 1 token every 2 seconds and store up to 10 unused tokens for later use. See Wikipedia's Burst size for more details.
Multi-limiters
In the scenario where a part of your code needs to abide to two or more rate limits, you can combine multiple rate limiters into a MultiLimiter
.
api_limiter = RateLimiter.new(rate: 10, max_burst: 60)
db_limiter = RateLimiter.new(rate: 100)
multi = RateLimiter::MultiLimiter.new(api_limiter, db_limiter)
You can also use the convenience constructor on the RateLimiter
module.
multi = RateLimiter.new(api_limiter, db_limiter)
A MultiLimiter
exposes the same API as a regular Limiter
- they both include the LimiterLike
module - so you can call the same flavours of #get
methods on it.
When calling get
on a MultiLimiter
, it will try to acquire tokens from each one of the underlying rate limiters, and only return a token then.
Under the hood
Why do I need a rate limiter?
- We're calling an API that throttles us when we call it too frequently, and we'd rather avoid that.
- We are exposing an API to customers and want to ensure we don't get flooded with requests. For example, we might want to rate limit calls by client id, so that one misbehaving client will not affect the others.
- One of our ETL stages talks to a datastore that limits the number of requests per second we can send.
- We have to run a database migration in production and we don't want to affect the responsiveness of the service.
Development
Run the following to run the tests.
crystal spec
Contributing
- Fork it (<https://github.com/lbarasti/rate_limiter/fork>)
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request
Contributors
- lbarasti - creator and maintainer


You can play by change some constants in project files.
Get the IP address of the device that run the server application
Go to commons project's files and open Constants files
Change the value of SERVER_ADDRESS constant from localhost to server IP
Compile and pack the client and server application
This is right! Actually, the project is in Alpha stage, so many features can not work as
expected. See other similar issues on Github or open a new one. Developers certainly thank.


Protesters Burn American Flags and Pictures of Trump in Front of US Embassy in Beirut - Photo, Video
The latest round of demonstrations comes in response to a statement by former US Ambassador to Lebanon Jeffrey Feltman, who said that "the demonstrations and the reactions to them by Lebanese leaders and institutions fortunately coincide with US interests”.
Several dozen Lebanese citizens have over the weekend been protesting near the US Embassy in the capital city of Beirut to express their discontent at what they call US intervention in Lebanon's internal affairs.
The protesters were seen burning US and Israeli flags in front of the embassy.
The demonstrators were also seen carrying placards that read "USA, mind your own business" or "Shut up, [US Ambassador to Lebanon Jeffrey D.] Feltmann (sic)". One of the protesters set a picture of President Trump on fire.
The Lebanese people have taken to the street in the wake of comments by US Ambassador to Lebanon Jeffrey Feltman, who said that the turmoil in the Middle Eastern country goes in line with American interests.
The rallies in Lebanon have been underway since October, sparked by the authorities' plan to introduce a tax on online calls made via the WhatsApp messenger, which was subsequently scrapped.
However, the protests evolved into calls to end corruption and mismanagement by the political elite. The riots saw Prime Minister Saad Hariri resign on 29 October.


You might put any content here you want.
Starting a new website from scratch can be overwhelming. You don't want to start with "Hello World". You need a basic skeleton that has some basic "batteries included", like brochure content, an about page, a login page that works, and a user-specific dashboard page.
A site starter package should show off basic HTTP calls - see the random quote below.
Every (ok, almost every) site needs to let a user log in, and ideally do it in a modern way. This demo uses JWTs. Try logging in.
There's lots of other things you want too. Want to see a "page not found"? click here for a 404.
Want to find out more? Read more about this project.


320 ‘Bleed Control Kits’ to be Given to Bars in London
Diversity continues to be a strength.
by Paul Joseph Watson320 ‘bleed control kits’ are to be given to bars in the City of London as the UK capital’s knife crime epidemic continues to soar.
The kits will be handed out by City of London police across the 1.12 square mile center of the city at a cost of £25,000.
Authorities said they were “proud” to launch the initiative, with David Lawes, Chief Superintendent of the City of London Police, telling Sky News that the decision was a “no brainer.”
“This is a really, really simply piece of kit which can make a big difference. Particularly with the most catastrophic bleeds, if you don’t get help in the first few minutes the person will almost certainly die,” said Lawes.
“The kits contain tourniquets, trauma bandages, adhesive chest seals and foil blankets, and can help treat both knife and gunshot wounds. Bar staff will be trained in their use, so that victims of violent crime will not bleed out before an ambulance can reach them,” writes Jack Hadfield.
Knife crime in the City of London jumped by 43% over the last year while in that same time period England saw a record high of 43,000 knife crimes across the country.
Violent crime levels show little sign of coming down as authorities refuse to tackle some of the core reasons for the bloodshed, which include broken families, weakened police powers and mass migration.
SUBSCRIBE on YouTube:


Reinforcement Learning Coach
Intro
Usage
Usage - Distributed Coach
Features
Selecting an Algorithm
Coach Dashboard
Design
Control Flow
Network Design
Distributed Coach - Horizontal Scale-Out
Contributing
Adding a New Agent
Adding a New Environment
Components
Agents
Architectures
Data Stores
Environments
Exploration Policies
Filters
Memories
Memory Backends
Orchestrators
Core Types
Spaces
Additional Parameters
Reinforcement Learning Coach
Docs
»
Index
Index
A
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B
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C
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D
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E
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F
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G
|
H
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I
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K
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L
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M
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N
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O
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P
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Q
|
R
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S
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T
|
U
|
V
|
W
A
accumulate_gradients() (rl_coach.architectures.architecture.Architecture method)
ACERAlgorithmParameters (class in rl_coach.agents.acer_agent)
act() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
action_space() (rl_coach.environments.environment.Environment property)
ActionInfo (class in rl_coach.core_types)
actions() (rl_coach.core_types.Batch method)
ActionSpace (class in rl_coach.spaces)
ActorCriticAlgorithmParameters (class in rl_coach.agents.actor_critic_agent)
AdditiveNoise (class in rl_coach.exploration_policies.additive_noise)
Agent (class in rl_coach.agents.agent)
AgentParameters (class in rl_coach.base_parameters)
apply_and_reset_gradients() (rl_coach.architectures.architecture.Architecture method)
apply_gradients() (rl_coach.architectures.architecture.Architecture method)
apply_gradients_and_sync_networks() (rl_coach.architectures.network_wrapper.NetworkWrapper method)
apply_gradients_to_global_network() (rl_coach.architectures.network_wrapper.NetworkWrapper method)
apply_gradients_to_online_network() (rl_coach.architectures.network_wrapper.NetworkWrapper method)
Architecture (class in rl_coach.architectures.architecture)
AttentionActionSpace (class in rl_coach.spaces)
AttentionDiscretization (class in rl_coach.filters.action)
B
BalancedExperienceReplay (class in rl_coach.memories.non_episodic)
Batch (class in rl_coach.core_types)
BCAlgorithmParameters (class in rl_coach.agents.bc_agent)
Boltzmann (class in rl_coach.exploration_policies.boltzmann)
Bootstrapped (class in rl_coach.exploration_policies.bootstrapped)
BoxActionSpace (class in rl_coach.spaces)
BoxDiscretization (class in rl_coach.filters.action)
BoxMasking (class in rl_coach.filters.action)
C
call_memory() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
CarlaEnvironment (class in rl_coach.environments.carla_environment)
Categorical (class in rl_coach.exploration_policies.categorical)
CategoricalDQNAlgorithmParameters (class in rl_coach.agents.categorical_dqn_agent)
change_phase() (rl_coach.exploration_policies.exploration_policy.ExplorationPolicy method)
choose_action() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
CILAlgorithmParameters (class in rl_coach.agents.cil_agent)
clip_action_to_space() (rl_coach.spaces.ActionSpace method)
(rl_coach.spaces.GoalsSpace method)
ClippedPPOAlgorithmParameters (class in rl_coach.agents.clipped_ppo_agent)
close() (rl_coach.environments.environment.Environment method)
collect_savers() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
(rl_coach.architectures.architecture.Architecture method)
(rl_coach.architectures.network_wrapper.NetworkWrapper method)
CompoundActionSpace (class in rl_coach.spaces)
construct() (rl_coach.architectures.architecture.Architecture static method)
contains() (rl_coach.spaces.ActionSpace method)
(rl_coach.spaces.GoalsSpace method)
(rl_coach.spaces.ObservationSpace method)
(rl_coach.spaces.Space method)
ContinuousEntropy (class in rl_coach.exploration_policies.continuous_entropy)
ControlSuiteEnvironment (class in rl_coach.environments.control_suite_environment)
create_networks() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
D
DDPGAlgorithmParameters (class in rl_coach.agents.ddpg_agent)
DFPAlgorithmParameters (class in rl_coach.agents.dfp_agent)
DiscreteActionSpace (class in rl_coach.spaces)
distance_from_goal() (rl_coach.spaces.GoalsSpace method)
DistributedTaskParameters (class in rl_coach.base_parameters)
DoomEnvironment (class in rl_coach.environments.doom_environment)
DQNAgent (class in rl_coach.agents.dqn_agent)
DQNAlgorithmParameters (class in rl_coach.agents.dqn_agent)
E
EGreedy (class in rl_coach.exploration_policies.e_greedy)
Environment (class in rl_coach.environments.environment)
EnvResponse (class in rl_coach.core_types)
Episode (class in rl_coach.core_types)
EpisodicExperienceReplay (class in rl_coach.memories.episodic)
EpisodicHindsightExperienceReplay (class in rl_coach.memories.episodic)
EpisodicHRLHindsightExperienceReplay (class in rl_coach.memories.episodic)
ExperienceReplay (class in rl_coach.memories.non_episodic)
ExplorationPolicy (class in rl_coach.exploration_policies.exploration_policy)
F
freeze_memory() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
FullDiscreteActionSpaceMap (class in rl_coach.filters.action)
G
game_overs() (rl_coach.core_types.Batch method)
get_action() (rl_coach.exploration_policies.exploration_policy.ExplorationPolicy method)
get_action_from_user() (rl_coach.environments.environment.Environment method)
get_available_keys() (rl_coach.environments.environment.Environment method)
get_first_transition() (rl_coach.core_types.Episode method)
get_goal() (rl_coach.environments.environment.Environment method)
get_last_transition() (rl_coach.core_types.Episode method)
get_predictions() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
get_random_action() (rl_coach.environments.environment.Environment method)
get_rendered_image() (rl_coach.environments.environment.Environment method)
get_reward_for_goal_and_state() (rl_coach.spaces.GoalsSpace method)
get_state_embedding() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
get_transition() (rl_coach.core_types.Episode method)
get_transitions_attribute() (rl_coach.core_types.Episode method)
get_variable_value() (rl_coach.architectures.architecture.Architecture method)
get_weights() (rl_coach.architectures.architecture.Architecture method)
goal_from_state() (rl_coach.spaces.GoalsSpace method)
goal_space() (rl_coach.environments.environment.Environment property)
goals() (rl_coach.core_types.Batch method)
GoalsSpace (class in rl_coach.spaces)
GoalsSpace.DistanceMetric (class in rl_coach.spaces)
Greedy (class in rl_coach.exploration_policies.greedy)
GymEnvironment (class in rl_coach.environments.gym_environment)
H
handle_episode_ended() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
(rl_coach.environments.environment.Environment method)
I
ImageObservationSpace (class in rl_coach.spaces)
improve_reward_model() (rl_coach.agents.dqn_agent.DQNAgent method)
info() (rl_coach.core_types.Batch method)
info_as_list() (rl_coach.core_types.Batch method)
init_environment_dependent_modules() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
initialize_session_dependent_components() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
insert() (rl_coach.core_types.Episode method)
is_empty() (rl_coach.core_types.Episode method)
is_valid_index() (rl_coach.spaces.ActionSpace method)
(rl_coach.spaces.GoalsSpace method)
(rl_coach.spaces.ObservationSpace method)
(rl_coach.spaces.Space method)
K
Kubernetes (class in rl_coach.orchestrators.kubernetes_orchestrator)
L
last_env_response() (rl_coach.environments.environment.Environment property)
learn_from_batch() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
length() (rl_coach.core_types.Episode method)
LinearBoxToBoxMap (class in rl_coach.filters.action)
load_memory_from_file() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
log_to_screen() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
M
MixedMonteCarloAlgorithmParameters (class in rl_coach.agents.mmc_agent)
MultiSelectActionSpace (class in rl_coach.spaces)
N
n_step_discounted_rewards() (rl_coach.core_types.Batch method)
NAFAlgorithmParameters (class in rl_coach.agents.naf_agent)
NECAlgorithmParameters (class in rl_coach.agents.nec_agent)
NetworkParameters (class in rl_coach.base_parameters)
NetworkWrapper (class in rl_coach.architectures.network_wrapper)
next_states() (rl_coach.core_types.Batch method)
NFSDataStore (class in rl_coach.data_stores.nfs_data_store)
NStepQAlgorithmParameters (class in rl_coach.agents.n_step_q_agent)
O
ObservationClippingFilter (class in rl_coach.filters.observation)
ObservationCropFilter (class in rl_coach.filters.observation)
ObservationMoveAxisFilter (class in rl_coach.filters.observation)
ObservationNormalizationFilter (class in rl_coach.filters.observation)
ObservationReductionBySubPartsNameFilter (class in rl_coach.filters.observation)
ObservationRescaleSizeByFactorFilter (class in rl_coach.filters.observation)
ObservationRescaleToSizeFilter (class in rl_coach.filters.observation)
ObservationRGBToYFilter (class in rl_coach.filters.observation)
ObservationSpace (class in rl_coach.spaces)
ObservationSqueezeFilter (class in rl_coach.filters.observation)
ObservationStackingFilter (class in rl_coach.filters.observation)
ObservationToUInt8Filter (class in rl_coach.filters.observation)
observe() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
OUProcess (class in rl_coach.exploration_policies.ou_process)
P
PALAlgorithmParameters (class in rl_coach.agents.pal_agent)
parallel_predict() (rl_coach.architectures.architecture.Architecture static method)
parallel_prediction() (rl_coach.architectures.network_wrapper.NetworkWrapper method)
ParameterNoise (class in rl_coach.exploration_policies.parameter_noise)
parent() (rl_coach.agents.agent.Agent property)
(rl_coach.agents.dqn_agent.DQNAgent property)
PartialDiscreteActionSpaceMap (class in rl_coach.filters.action)
phase() (rl_coach.agents.agent.Agent property)
(rl_coach.agents.dqn_agent.DQNAgent property)
(rl_coach.environments.environment.Environment property)
PlanarMapsObservationSpace (class in rl_coach.spaces)
PolicyGradientAlgorithmParameters (class in rl_coach.agents.policy_gradients_agent)
post_training_commands() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
PPOAlgorithmParameters (class in rl_coach.agents.ppo_agent)
predict() (rl_coach.architectures.architecture.Architecture method)
prepare_batch_for_inference() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
PresetValidationParameters (class in rl_coach.base_parameters)
PrioritizedExperienceReplay (class in rl_coach.memories.non_episodic)
Q
QDND (class in rl_coach.memories.non_episodic)
QuantileRegressionDQNAlgorithmParameters (class in rl_coach.agents.qr_dqn_agent)
R
RainbowDQNAlgorithmParameters (class in rl_coach.agents.rainbow_dqn_agent)
RedisPubSubBackend (class in rl_coach.memories.backend.redis)
register_signal() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
render() (rl_coach.environments.environment.Environment method)
requires_action_values() (rl_coach.exploration_policies.exploration_policy.ExplorationPolicy method)
reset() (rl_coach.exploration_policies.exploration_policy.ExplorationPolicy method)
reset_accumulated_gradients() (rl_coach.architectures.architecture.Architecture method)
reset_evaluation_state() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
reset_internal_state() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
(rl_coach.environments.environment.Environment method)
restore_checkpoint() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
RewardClippingFilter (class in rl_coach.filters.reward)
RewardNormalizationFilter (class in rl_coach.filters.reward)
RewardRescaleFilter (class in rl_coach.filters.reward)
rewards() (rl_coach.core_types.Batch method)
run_off_policy_evaluation() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
run_pre_network_filter_for_inference() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
S
S3DataStore (class in rl_coach.data_stores.s3_data_store)
sample() (rl_coach.spaces.ActionSpace method)
(rl_coach.spaces.GoalsSpace method)
(rl_coach.spaces.ObservationSpace method)
(rl_coach.spaces.Space method)
sample_with_info() (rl_coach.spaces.ActionSpace method)
(rl_coach.spaces.GoalsSpace method)
save_checkpoint() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
set_environment_parameters() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
set_goal() (rl_coach.environments.environment.Environment method)
set_incoming_directive() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
set_is_training() (rl_coach.architectures.network_wrapper.NetworkWrapper method)
set_session() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
set_variable_value() (rl_coach.architectures.architecture.Architecture method)
set_weights() (rl_coach.architectures.architecture.Architecture method)
setup_logger() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
shuffle() (rl_coach.core_types.Batch method)
SingleEpisodeBuffer (class in rl_coach.memories.episodic)
size() (rl_coach.core_types.Batch property)
slice() (rl_coach.core_types.Batch method)
SoftActorCriticAlgorithmParameters (class in rl_coach.agents.soft_actor_critic_agent)
Space (class in rl_coach.spaces)
StarCraft2Environment (class in rl_coach.environments.starcraft2_environment)
state_space() (rl_coach.environments.environment.Environment property)
states() (rl_coach.core_types.Batch method)
step() (rl_coach.environments.environment.Environment method)
sync() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
(rl_coach.architectures.network_wrapper.NetworkWrapper method)
T
TaskParameters (class in rl_coach.base_parameters)
TD3AlgorithmParameters (class in rl_coach.agents.td3_agent)
train() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
train_and_sync_networks() (rl_coach.architectures.network_wrapper.NetworkWrapper method)
train_on_batch() (rl_coach.architectures.architecture.Architecture method)
Transition (class in rl_coach.core_types)
TransitionCollection (class in rl_coach.memories.non_episodic)
TruncatedNormal (class in rl_coach.exploration_policies.truncated_normal)
U
UCB (class in rl_coach.exploration_policies.ucb)
update_discounted_rewards() (rl_coach.core_types.Episode method)
update_log() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
update_online_network() (rl_coach.architectures.network_wrapper.NetworkWrapper method)
update_step_in_episode_log() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
update_target_network() (rl_coach.architectures.network_wrapper.NetworkWrapper method)
update_transition_before_adding_to_replay_buffer() (rl_coach.agents.agent.Agent method)
(rl_coach.agents.dqn_agent.DQNAgent method)
V
VectorObservationSpace (class in rl_coach.spaces)
VisualizationParameters (class in rl_coach.base_parameters)
W
WolpertingerAlgorithmParameters (class in rl_coach.agents.wolpertinger_agent)


Transparency data
Ofqual board meeting held on 23 July 2014: minutes, agenda and reports.
PDF , 251KB , 4 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual Board Paper 25(i)/14 PDF , 330KB , 13 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual Board Paper 26/14 PDF , 132KB , 7 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual Board Paper 27/14 PDF , 179KB , 8 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual Board Paper 31/14 PDF , 420KB , 8 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual Board Paper 32/14 PDF , 796KB , 55 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
The attached minutes document contains minutes from previous meetings held on 21 May 2014 and 18 June 2014 and any matters arising from them.


Which of the following statements regarding subclasses are true?
Subclasses inherit all of the methods and attributes from the class that they extend and a subclass has an "is-a" relationship with the class it extends.
- A subclass will inherit the constructors from the class it extends and a subclass has an "is-a" relationship with the class it extends.
- If PlantingJeroo is a subclass of Jeroo, it will not inherit any of the methods in Jeroo
- If PlantingJeroo is a subclass of Jeroo, it will only inheret the constructor
There are no hints for this question


NRV Bright Lights
These are sites that are Doing it Right. Use them as role models for other sites to emulate.


Stanford Computer Science Graduate, specializing in Human-Computer Interaction.
Worked on a project concerning the impact of the physical conditions of urban environments on physical health in Boston, Detroit, and Los Angeles. Cleaned and coded results from crowdsourcing surveys and health data Assisted in testing algorithms for automated methods Created Amazon Mechanical Turk Surveys using Javascript, CSS, HTML, and XML. The results from the surveys were used as training data for our machine learning algorithm.
Created a GUI for a program used to analyze the interior surface of Superconducting Radio Frequency (SRF) cavities Classified images of each SRF based on # of blemishes Evaluated the levelness of the inside of the cavities
The Game Changing Development (GCD) Department of NASA had a broken weekly report system One worker had to collect email reports from each person and consolidate them by hand Created a website using HTML, CSS, and Javascript to automate the GCD weekly report process
Leveraged my love of reading and writing to proofreader and correct Thank-You essays sent to Stanford Alumni donors
Recursion
Time and Space Complexity analysis
Object-oriented design
Encapsulation
Abstraction
Machine-level code Computer arithmetic Memory organization and management
Modularity using client-server design Security and encryption Performance optimizations
Databases Event-driven programming Network protocols Scripting languages
Color encoding Spatial layout of information Cognitive and perceptual principles
C++ Java C Python mySQL HTML CSS Javascript Android Development iOS Development Skilled in efficient collaborationStrong writing skills
Since my work is often sedentary, I try to stay as active as possible outside of work. Basketball and weightlifting are my two primary sources of physical activity. I started playing basketball when I was in elementary school. Although I no longer play competitively, I still play ever so often to train my cardiovascular endurance. After being injured while playing basketball my sophomore year of high school, I realized that weightlifting would be a good way to prevent further injuries. When I'm not playing sports, I find reading fiction and high fantasy books entertaining. My current favorite author is Jennifer Fallon. In a way, reading a well-crafted book is like being transported to another universe. Aside from reading and playing sports, I sincerely enjoy helping others to succeed. Since I know a bit about Computer Science, I often tutor my fellow classmates in Computer Science classes that I have already taken.
Conway's Game of Life is a cellular automaton created by John Conway in 1970. I used my own basic unoptimized algorithm and a toroidal array. The user can select a variety of options, such as the length of the delay between generations and the initial density of the live cells.
Shoppy is a personal virtual shopping assistant. After a few weeks of brainstorming with my two design-oriented teammates, I worked as the primary programmer on our virtual shopping assistant project. In 10 weeks, I created a workable demo for the project. (Android only)
Along with a group of 4 teammates, I created a smart mirror in 10 weeks. The mirror has a variety of widgets, from weather to a music player. The "Software.md" file on GitHub describes the software decisions we made.


Side By Side Forms
Offset a little from the left and top to make sure offsets are calculated correctly.


Created by Emmanuel ERNEST
Meteor is not a framework, Meteor is a platform
Realtime by default
Built on top of NodeJS, MongoDB
Version 1.1 (Windows support, MongoDB 3.0)
Entirely in Javascript
4600+ packages on AtmosphereJS
Meteor reaches top ten on GitHub!
To be a hiptster/normcore or not to be !
Browser and Mobile
Live updates
Ultra responsive
One language everywhere (Isomorphic)
Unified package system
Hot deploy
Realtime databases query
Standard protocol for publishing new data to the client
Run database queries on the client
Rerun your functions when data changes
Live DOM updating engine
User accounts on client an server
Target Node, browser, Cordova from single codebase
When database changes, the update propagates to affected clients and the users' screen update
Client can seamless access database with "low latency"
The same code runs on client, server and mobile, from packages to database APIs
Write business logic in normal way instead of deeply nested callbacks
//Examples
//define a database table on client and server
Messages = new Mongo.Collection('messages');
//implement RPC on server, simulation on client
Meteor.methods({
postMessage: function (message,username){
Messages.insert(userName:username,text: message, date: new Date()});
}
});
//URL route for both client and server
Router.route('/post/:_id, function(){
var params = this.params; //{_id: 5}
var id = params._id; //"5"
});
//call a REST endpoint
HTTP.get("http://maps.google.com/maps/api/geocode/json", {params: {address: "17 cour Valmy, Puteaux"}});


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s
Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old
Plane: Tiramisu caramels gummies chupa chups lollipop muffin. Jujubes chocolate caramels cheesecake brownie lollipop dragée cheesecake.
Train: Pie apple pie pudding I love wafer toffee liquorice sesame snaps lemon drops. Lollipop gummi bears dessert muffin I love fruitcake toffee pie.
Car: Jelly cotton candy bonbon jelly-o jelly-o I love. I love sugar plum chocolate cake pie I love pastry liquorice.


| Overview | Module | Use | Devguide | Index |
| Constants | Constants' Details |
| constants group NativeNumberMode |
|
| Constants | |
| NATNUM0 | Transliteration to ASCII Arabic digits. Try to convert any native number string to ASCII. If already ASCII it remains ASCII. |
| NATNUM1 | Transliteration in Chinese: Chinese lower case characters; CAL: 1/7/7 [DBNum1] Japanese: short Kanji characters [DBNum1]; CAL: 1/4/4 [DBNum1] Korean: Korean lower case characters [DBNum1]; CAL: 1/7/7 [DBNum1] Thai: Thai characters Arabic: Indic characters Indic: Indic characters |
| NATNUM2 | Transliteration in Chinese: Chinese upper case characters; CAL: 2/8/8 [DBNum2] Japanese: traditional Kanji characters; CAL: 2/5/5 [DBNum2] Korean: Korean upper case characters [DBNum2]; CAL: 2/8/8 [DBNum2] |
| NATNUM3 | Transliteration in Chinese: fullwidth Arabic digits; CAL: 3/3/3 [DBNum3] Japanese: fullwidth Arabic digits; CAL: 3/3/3 [DBNum3] Korean: fullwidth Arabic digits [DBNum3]; CAL: 3/3/3 [DBNum3] |
| NATNUM4 | Transliteration in Chinese: lower case text [DBNum1] Japanese: modern long Kanji text [DBNum2] Korean: formal lower case text |
| NATNUM5 | Transliteration in Chinese: Chinese upper case text [DBNum2] Japanese: traditional long Kanji text [DBNum3] Korean: formal upper case text |
| NATNUM6 | Transliteration in Chinese: fullwidth text [DBNum3] Japanese: fullwidth text Korean: fullwidth text |
| NATNUM7 | Transliteration in Chinese: short lower case text Japanese: modern short Kanji text Korean: informal lower case text |
| NATNUM8 | Transliteration in Chinese: short upper case text Japanese: traditional short Kanji text [DBNum4] Korean: informal upper case text |
| NATNUM9 | Transliteration in Korean: Hangul characters |
| NATNUM10 | Transliteration in Korean: formal Hangul text [DBNum4]; CAL: 9/11/11 [DBNum4] |
| NATNUM11 | Transliteration in Korean: informal Hangul text |
| Constants' Details | |
NATNUM0
|
|
NATNUM1
|
|
NATNUM2
|
|
NATNUM3
|
|
NATNUM4
|
|
NATNUM5
|
|
NATNUM6
|
|
NATNUM7
|
|
NATNUM8
|
|
NATNUM9
|
|
NATNUM10
|
|
NATNUM11
|
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


For any comments or thoughts, please reach me on twitter @skelz0r ✌
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protocol
metap
¶
Useful meta-predicates protocol.
static
(no dependencies on other entities)
Public interface¶
include/3
¶
Returns a list of all list elements that satisfy a predicate.
static
include(Closure,List,Included)
include(1,*,*)
include(+callable,+list,-list)
- one
exclude/3
¶
Returns a list of all list elements that fail to satisfy a predicate.
static
exclude(Closure,List,Excluded)
exclude(1,*,*)
exclude(+callable,+list,-list)
- one
findall_member/4
¶
Finds all members of a list that satisfy a given test.
static
findall_member(Member,List,Test,Result)
findall_member(*,*,0,*)
findall_member(@term,+list,@callable,-list)
- one
findall_member/5
¶
Finds all members of a list that satisfy a given test appending the given tail to the result.
static
findall_member(Member,List,Test,Result,Tail)
findall_member(*,*,0,*,*)
findall_member(@term,+list,@callable,-list,+list)
- one
partition/4
¶
Partition a list of elements in two lists using a predicate.
static
partition(Closure,List,Included,Excluded)
partition(1,*,*,*)
partition(+callable,+list,-list,-list)
- one
partition/6
¶
Partitions a list in lists with values less, equal, and greater than a given value using a comparison predicate with the same argument order as compare/3.
static
partition(Closure,List,Value,Less,Equal,Greater)
partition(3,*,*,*,*,*)
partition(+callable,+list,@term,-list,-list,-list)
- one
fold_left/4
¶
List folding (left associative). Closure is extended with three arguments: accumulator, list element, and updated accumulator.
static
fold_left(Closure,Accumulator,List,Result)
fold_left(3,*,*,*)
fold_left(+callable,?term,+list,?term)
- zero_or_more
fold_left_1/3
¶
List folding (left associative). Closure is extended with three arguments: accumulator, list element, and updated accumulator. The initial value of the accumulator is the list first element. Fails for empty lists.
static
fold_left_1(Closure,List,Result)
fold_left_1(3,*,*)
fold_left_1(+callable,+list,?term)
- zero_or_more
scan_left/4
¶
List scanning (left associative). Closure is extended with three arguments: accumulator, list element, and updated accumulator.
static
scan_left(Closure,Accumulator,List,Results)
scan_left(3,*,*,*)
scan_left(+callable,?term,+list,?list)
- zero_or_more
scan_left_1/3
¶
List scanning (left associative). Closure is extended with three arguments: accumulator, list element, and updated accumulator. The accumulator is initialized with the list first element. Fails for empty lists.
static
scan_left_1(Closure,List,Results)
scan_left_1(3,*,*)
scan_left_1(+callable,+list,?list)
- zero_or_more
fold_right/4
¶
List folding (right associative). Closure is extended with three arguments: list element, accumulator, and updated accumulator.
static
fold_right(Closure,Accumulator,List,Result)
fold_right(3,*,*,*)
fold_right(+callable,?term,+list,?term)
- zero_or_more
fold_right_1/3
¶
List folding (right associative). Closure is extended with three arguments: list element, accumulator, and updated accumulator. The initial value of the accumulator is the list first element. Fails for empty lists.
static
fold_right_1(Closure,List,Result)
fold_right_1(3,*,*)
fold_right_1(+callable,+list,?term)
- zero_or_more
scan_right/4
¶
List scanning (right associative). Closure is extended with three arguments: list element, accumulator, and updated accumulator.
static
scan_right(Closure,Accumulator,List,Results)
scan_right(3,*,*,*)
scan_right(+callable,?term,+list,?list)
- zero_or_more
scan_right_1/3
¶
List scanning (right associative). Closure is extended with three arguments: list element, accumulator, and updated accumulator. The accumulator is initialized with the list first element. Fails for empty lists.
static
scan_right_1(Closure,List,Results)
scan_right_1(3,*,*)
scan_right_1(+callable,+list,?list)
- zero_or_more
map/2
¶
True if the predicate succeeds for each list element.
static
map(Closure,List)
map(1,*)
map(+callable,?list)
- zero_or_more
map/3
¶
List mapping predicate taken arguments from two lists of elements.
static
map(Closure,List1,List2)
map(2,*,*)
map(+callable,?list,?list)
- zero_or_more
map/4
¶
List mapping predicate taken arguments from three lists of elements.
static
map(Closure,List1,List2,List3)
map(3,*,*,*)
map(+callable,?list,?list,?list)
- zero_or_more
map/5
¶
List mapping predicate taken arguments from four lists of elements.
static
map(Closure,List1,List2,List3,List4)
map(4,*,*,*,*)
map(+callable,?list,?list,?list,?list)
- zero_or_more
map/6
¶
List mapping predicate taken arguments from five lists of elements.
static
map(Closure,List1,List2,List3,List4,List5)
map(5,*,*,*,*,*)
map(+callable,?list,?list,?list,?list,?list)
- zero_or_more
map/7
¶
List mapping predicate taken arguments from six lists of elements.
static
map(Closure,List1,List2,List3,List4,List5,List6)
map(6,*,*,*,*,*,*)
map(+callable,?list,?list,?list,?list,?list,?list)
- zero_or_more
map/8
¶
List mapping predicate taken arguments from seven lists of elements.
static
map(Closure,List1,List2,List3,List4,List5,List6,List7)
map(7,*,*,*,*,*,*,*)
map(+callable,?list,?list,?list,?list,?list,?list,?list)
- zero_or_more
map_reduce/5
¶
Map a list and apply a fold left (reduce) to the resulting list.
static
map_reduce(Map,Reduce,Accumulator,List,Result)
map_reduce(2,3,*,*,*)
map_reduce(+callable,+callable,+term,?list,?term)
- zero_or_more
Protected interface¶
(none)
Private predicates¶
(none)
Operators¶
(none)


In a week's time I'll be speaking at Percona Live Amsterdam. I will be presenting:
Managing and Visualizing your replication topologies with Orchestrator
23 September 4:20PM
This talk will present orchestrator, on which I've been working for the last year and a half, originally at Outbrain and now at Booking.com.
I will show off what orchestrator can do to manage your replication topologies. From visualization, through topology refactoring to automated crash recoveries, orchestrator today plays a key role at Booking.com infrastructure, at scale (oh I love using these words).
You can expect an outrageous demo, a visual walkthrough, some command line examples, and a lot on the logic and mechanisms behind orchestrator. I will present the difficult problems orchestrator covers.
orchestrator is free and open source, and is built to be as generic as possible; it is known to be used by multiple well known companies these days, so please join the party.
With that, I conclude with the almighty motto:
https://speakerdeck.com/shlominoach/managing-and-visualizing-your-replication-topologies-with-orchestrator
comments powered by Disqus


WEB222 Assignment 4 - DOM Manipulation
Country List
By Population
> 100,000,000
1 ~ 2 million
By Area & Continent
1 million Km
2
, Americas
All size, Aisa
Language
English
Arabic
中文 (Chinese)
French
Hindi
Korean
Japanese
Russian
Honesty
List of Countries and Dependencies
Flag
Code
Country/Dep. Name
Continent
Area (Km
2
)
Population
Capital


Exploitation and restriction bypass OTGv4 p.203
Check response headers (often neglected in mobile version of pages)
X-Frame-Options: deny(cannot be iframed), sameorigin(cannot be iframed by third-party domains)


Recipe 4.5. Creating Lists of Lists Without Sharing ReferencesCredit: David Ascher ProblemYou want to create a multidimensional list but want to avoid implicit reference sharing. SolutionTo build a list and avoid implicit reference sharing, use a list comprehension. For example, to build a 5 x 10 array of zeros: multilist = [[0 for col in range(5)] for row in range(10)] DiscussionWhen a newcomer to Python is first shown that multiplying a list by an integer repeats that list that many times, the newcomer often gets quite excited about it, since it is such an elegant notation. For example: >>> alist = [0] * 5 is clearly an excellent way to get an array of 5 zeros. The problem is that one-dimensional tasks often grow a second dimension, so there is a natural progression to: >>> multi = [[0] * 5] * 3 >>> print multi [[0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0]] This appears to work, but the same newcomer is then often puzzled by bugs, which typically can be boiled down to a snippet such as: >>> multi[0][0] = 'oops!' >>> print multi [['oops!', 0, 0, 0, 0], ['oops!', 0, 0, 0, 0], ['oops!', 0, 0, 0, 0]] This issue confuses most programmers at least once, if not a few times (see the FAQ entry at http://www.python.org/doc/FAQ.html#4.50). To understand the issue, it helps to decompose the creation of the multidimensional list into two steps: >>> row = [0] * 5 # a list with five references to 0 >>> multi = [row] * 3 # a list with three references to the row object This decomposed snippet produces a multi that's identical to that given by the more concise snippet [[0]*5]*3 shown earlier, and it has exactly the same problem: if you now assign a value to multi[0][0], you have also changed the value of multi[1][0] and that of multi[2][0] . . . , and, indeed, you have changed the value of row[0], too! The comments are key to understanding the source of the confusion. Multiplying a sequence by a number creates a new sequence with the specified number of new references to the original contents. In the case of the creation of row, it doesn't matter whether or not references are being duplicated, since the referent (the object being referred to) is a number, and therefore immutable. In other words, there is no practical difference between an object and a reference to an object if that object is immutable. In the second line, however, we create a new list containing three references to the contents of the [row] list, which holds a single reference to a list. Thus, multi contains three references to a single list object. So, when the first element of the first element of multi is changed, you are actually modifying the first element of the shared list. Hence the surprise. List comprehensions, as shown in the "Solution", avoid the problem. With list comprehensions, no sharing of references occursyou have a truly nested computation. If you have followed the discussion thoroughly, it may have occurred to you that we don't really need the inner list comprehension, only the outer one. In other words, couldn't we get just the same effect with: multilist = [[0]*5 for row in range(10)] The answer is that, yes, we could, and in fact using list multiplication for the innermost axis and list comprehension for all outer ones is fasterover twice as fast in this example. So why don't I recommend this latest solution? Answer: the speed improvement for this example is from 57 down to 24 microseconds in Python 2.3, from 49 to 21 in Python 2.4, on a typical PC of several years ago (AMD Athlon 1.2 GHz CPU, running Linux). Shaving a few tens of microseconds from a list-creation operation makes no real difference to your application's performance: and you should optimize your code, if at all, only where it matters, where it makes a substantial and important difference to the performance of your application as a whole. Therefore, I prefer the code shown in the recipe's Solution, simply because using the same construct for both the inner and the outer list creations makes it more conceptually symmetrical and easier to read! See AlsoDocumentation for the range built-in function in the Library Reference and Python in a Nutshell. |


Welcome to Dragon Lair
The prince has been taken by a dragon to an unkown tower. Navigate through the maze to save the prince. Are you ready?!?! Press start to begin the adventure.
Start


--- layout: post title: HBO, you need to make this into a series category: video tags: - Video status: publish type: post published: true ---
I'd watch this if HBO made it into a series. How can they make a commercial so damn good?


"The Mummy Returns"
It has been eight years since our favorite legionnaire Rick O'Connell (Brendan Fraser) and beautiful Egyptologist Evelyn (Rachel Weisz) battled against a 3000-year old nemesis named Imhotep (Arnold Vosloo.) Now, it's 1933 and deep within the bowels of the British Museum of London an ancient terror is about to be released on the unsuspecting world in "The Mummy Returns."
When "The Mummy," loosely based on the 1932 classic starring Boris Karloff, opened in 1999 it was to record breaking box office numbers. Eventually racking up over $400-mil worldwide, it is the 31st highest grossing film, ever. So, you didn't expect a sequel?
And, quite a sequel it is. Writer/director Stephen Sommers paid close attention to what worked and didn't in the first flick and honed it into a well-paced, sometimes funny, sometimes exciting, and always good looking, action adventure tale.
Brendan Fraser and Rachel Weisz get the chance to develop, more fully, their characters from the '99 film. Rick O'Connell used to be an independent-minded adventurer who only had himself to care about. Now, he's a husband and a father and has a whole new set of responsibilities, but he still has the heart and soul of a swashbuckler. Fraser melds the two sides of Rick together with a skill and charm that I've grown to appreciate in the actor. Rachel Weisz gets to be an action heroine a la "Crouching Tiger, Hidden Dragon," as she goes toe-to-toe with her old nemesis, Anck-Su-Namun (Patricia Velasquez). Weisz handles the action stuff well and plays Evelyn as smart, capable and every bit as venturesome as Rick.
There are other familiar faces from the first film with Arnold Vosloo reprising his role as the ferocious Imhotep, who wants to take over the world and still has the hots for Anck-Su-Namun. Oded Fehr is, once again, the stoic Ardeth Bay, a proud member of the Medjai, defender of the righteous and enemy of Imhotep. Both characters are more symbol than anything else. John Hannah is back as Evelyn's sniveling, high-maintenance brother Jonathan.
Some new faces show up, too, with young Freddie Boath playing Rick and Evelyn's son, Alex. At first, the kid comes across as too cute. Oh, boy, I thought, another pretty, precocious child actor. But, Boath hangs in there and, as the story progresses, you begin to like the boy. Comic relief is provided on a couple of fronts with the evil Lock-Nah (Adewale Akinnuoye-Agbaje) determined to personally kill Alex and thwarted, by the boy, every time. Shaun Parkes provides both comedy and heroism as the owner of Magic Carpet Airways, a company that eschews conventional airplanes in favor of Izzy's homemade "dirigible." WWF champion Dwayne "The Rock" Johnson makes his "acting" debut as the Scorpion King who sold his soul to Anubis, but the incredible physical presence of the wrestling star is really relegated to special effects in the big finale.
Of course, the reason most of us want to see "The Mummy Returns" is for the anticipated kick-ass F/X and they are in ample quantity here. The computer-generated images are used throughout, from the big battle scenes with a cast of thousands of CG creatures, like the dog-headed warriors of the dark lord, Anubis. There are lots of killer mummy effects, including hundreds of pygmy mummies that decimate the numbers of the bad guys. These little fellers have a distinctly spooky quality about them.
The production is lavishly handled on all accounts. Veteran lenser Adrian Biddle gives the same quality look to the film that he provided for the first. When the action shifts from Egypt to London, the colors change from golden, warm hues to dark, colder colors. Costume and production effectively capture the 30's period details. There is a goodly influence from such groundbreaking adventures as "Raiders of the Lost Ark," "Gremlins" and "Around the World in 80 Days."
"The Mummy Returns" is a full 2+ hours long but is so evenly paced and well told that you don't even notice the time. It's fun and full of adventure and has enough F/X to satisfy the most jaded action fan. I give it a B.
For more Reeling reviews visit www.reelingreviews.com
<EMAIL_ADDRESS><EMAIL_ADDRESS>========== X-RAMR-ID: 28672 X-RT-AuthorID: 1488 X-RT-TitleID: 1107715 X-RT-RatingText: B
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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review and has no editorial control. Unless stated otherwise, the copyright
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- Mallory
- Mallory is an extensible TCP/UDP man in the middle proxy that is designed to be run as a gateway. Unlike other tools of its kind, Mallory supports modifying non-standard protocols on the fly.
- TCP Catcher
- TcpCatcher is a free TCP, SOCKS, HTTP and HTTPS proxy monitor server software.
- Squid Proxy
- Squid is a caching proxy for the Web supporting HTTP, HTTPS, FTP, and more. It reduces bandwidth and improves response times by caching and reusing frequently-requested web pages. Squid has extensive access controls and makes a great server accelerator. It runs on most available operating systems, including Windows and is licensed under the GNU GPL.
- PowerCat
A PowerShell TCP/IP swiss army knife that works with Netcat & Ncat
- Phreebird
- Phreebird is a DNSSEC proxy that operates in front of an existing DNS server (such as BIND, Unbound, PowerDNS, Microsoft DNS, or QIP) and supplements its records with DNSSEC responses. Features of Phreebird include automatic key generation, realtime record signing, support for arbitrary responses, zero configuration, NSEC3 -White Lies-, caching and rate limiting to deter DoS attacks, and experimental support for both Coarse Time over DNS and HTTP Virtual Channels. The suite also contains a large amount of sample code, including support for federated identity over OpenSSH. Finally, -Phreeload- enhances existing OpenSSL applications with DNSSEC support.
- DNS Chef
- SSLStrip
- This tool provides a demonstration of the HTTPS stripping attacks that I presented at Black Hat DC 2009. It will transparently hijack HTTP traffic on a network, watch for HTTPS links and redirects, then map those links into either look-alike HTTP links or homograph-similar HTTPS links. It also supports modes for supplying a favicon which looks like a lock icon, selective logging, and session denial.
- SharpSocks
Tunnellable HTTP/HTTPS socks4a proxy written in C# and deployable via PowerShell
Echo Mirage is a generic network proxy. It uses DLL injection and function hooking techniques to redirect network related function calls so that data transmitted and received by local applications can be observed and modified. Windows encryption and OpenSSL functions are also hooked so that plain text of data being sent and received over an encrypted session is also available. Traffic can be intercepted in real-time, or manipulated with regular expressions and a number of action directives
- Burp Proxy
- Burp Proxy is an intercepting proxy server for security testing of web applications. It operates as a man-in-the-middle between your browser and the target application
- Charles Proxy
- Charles is an HTTP proxy / HTTP monitor / Reverse Proxy that enables a developer to view all of the HTTP and SSL / HTTPS traffic between their machine and the Internet. This includes requests, responses and the HTTP headers (which contain the cookies and caching information).
- OWASP Zed Attack Proxy
-
A collection of ZAP scripts provided by the community - pull requests very welcome!
- Netcat
- Ncat
- Socat
- ssf - Secure Socket Funneling
- Network tool and toolkit. It provides simple and efficient ways to forward data from multiple sockets (TCP or UDP) through a single secure TLS tunnel to a remote computer. SSF is cross platform (Windows, Linux, OSX) and comes as standalone executables.


Various frameworks like Flex, Silver light, WPF etc introduced data binding mechanisms that helped us in creating templates of User Interface elements and differentiate between data and view. Declarative data binding helps in understanding relation between user interface and data (usually called as model).
However, HTML and JavaScript currently do not support any forms of data binding. But HTML does allow you to define extra attributes, and JavaScript can process them.
Atoms.js will process xml attribute values between curly braces {} and square brackets. And convert them into suitable binding expressions.
In the following sample, you can see how firstName and lastName properties of model are bound to UI element. One time and One way binding expressions can contain any form of JavaScript expression. (JavaScript expression is entire expression after equal to (=) sign in assignment statement till semi colon.)
Note: Binding will only work for these keywords. $data (data property of current control), $scope, $owner (self, since this is not accessible here), $appScope (application level scope). Any property after these keywords will be bound automatically.
Binding Expressions can only reference global javascript variables and properties of control ($owner) that holds the element. Others are just shortcuts. In short, $data is equivalent to $owner.data, $scope is equivalent to $owner.scope.
Note: Binding expression will never raise null pointer exception, as binding will not be executed if any middle property is evaluated as null. For example in expression $scope.control.selectedItem.MovieName , if control's selectedItem is null, binding will cancel further evaluation and it will not raise any exceptions. Instead, entire expression will be considered as null.


📅 (2022-09-15 11:12:30 UTC)
# Packages matching: installed # Name # Installed # Synopsis base-bigarray base base-threads base base-unix base conf-findutils 1 Virtual package relying on findutils conf-gmp 4 Virtual package relying on a GMP lib system installation coq 8.13.1 Formal proof management system num 1.4 The legacy Num library for arbitrary-precision integer and rational arithmetic ocaml 4.14.0 The OCaml compiler (virtual package) ocaml-base-compiler 4.14.0 Official release 4.14.0 ocaml-config 2 OCaml Switch Configuration ocaml-options-vanilla 1 Ensure that OCaml is compiled with no special options enabled ocamlfind 1.9.5 A library manager for OCaml zarith 1.12 Implements arithmetic and logical operations over arbitrary-precision integers # opam file: opam-version: "2.0" version: "1.0.2" maintainer<EMAIL_ADDRESS>homepage: "https://github.com/vzaliva/coq-min-imports" dev-repo: "git+https://github.com/vzaliva/coq-min-imports.git" bug-reports: "https://github.com/vzaliva/coq-min-imports/issues" authors: ["Vadim Zaliva"] license: "MIT" build: ["jbuilder" "build" "-j" jobs "@install"] depends: [ "ocaml" "coq" {>= "8.5"} "extlib" "batteries" "jbuilder" {build} ] tags: [ "category:Miscellaneous/Coq Extensions" "date:2018-04-22" ] synopsis: "This script will try to remove unnecessary module imports from Coq" description: """ sources. It examines modules listed in "Require Import" statements one by one and tries to recompile to see if their removal would cause compilation errors.""" url { src: "https://github.com/vzaliva/coq-min-imports/archive/v1.0.2.tar.gz" checksum: "md5=1df90607ac535f3e2ffe008e3561333b" }
true
Dry install with the current Coq version:
opam install -y --show-action coq-min-imports.1.0.2 coq.8.13.1
Dry install without Coq/switch base, to test if the problem was incompatibility with the current Coq/OCaml version:
true
opam list; echo; ulimit -Sv 4000000; timeout 4h opam install -y --deps-only coq-min-imports.1.0.2 coq.8.13.1
# Packages matching: installed # Name # Installed # Synopsis base-bigarray base base-threads base base-unix base conf-findutils 1 Virtual package relying on findutils conf-gmp 4 Virtual package relying on a GMP lib system installation coq 8.13.1 Formal proof management system num 1.4 The legacy Num library for arbitrary-precision integer and rational arithmetic ocaml 4.14.0 The OCaml compiler (virtual package) ocaml-base-compiler 4.14.0 Official release 4.14.0 ocaml-config 2 OCaml Switch Configuration ocaml-options-vanilla 1 Ensure that OCaml is compiled with no special options enabled ocamlfind 1.9.5 A library manager for OCaml zarith 1.12 Implements arithmetic and logical operations over arbitrary-precision integers The following actions will be performed: - install jbuilder 1.0+beta20.2 - install dune 3.4.1 - install ocamlbuild 0.14.1 - install cppo 1.6.9 - install batteries 3.5.1 - install extlib 1.7.9 ===== 6 to install ===== <><> Gathering sources ><><><><><><><><><><><><><><><><><><><><><><><><><><><><> [cppo.1.6.9] downloaded from cache at https://opam.ocaml.org/cache [batteries.3.5.1] downloaded from cache at https://opam.ocaml.org/cache [dune.3.4.1] downloaded from cache at https://opam.ocaml.org/cache [extlib.1.7.9] downloaded from cache at https://opam.ocaml.org/cache [jbuilder.1.0+beta20.2] downloaded from cache at https://opam.ocaml.org/cache [ocamlbuild.0.14.1] downloaded from cache at https://opam.ocaml.org/cache <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> installed ocamlbuild.0.14.1 -> installed jbuilder.1.0+beta20.2 [ERROR] The compilation of batteries failed at "/home/bench/.opam/opam-init/hooks/sandbox.sh build make all". -> installed dune.3.4.1 -> installed cppo.1.6.9 -> installed extlib.1.7.9 #=== ERROR while compiling batteries.3.5.1 ====================================# # context 2.0.10 | linux/x86_64 | ocaml-base-compiler.4.14.0 | https://opam.ocaml.org#0ccb63ef # path ~/.opam/ocaml-base-compiler.4.14.0/.opam-switch/build/batteries.3.5.1 # command ~/.opam/opam-init/hooks/sandbox.sh build make all # exit-code 2 # env-file ~/.opam/log/batteries-459-910341.env # output-file ~/.opam/log/batteries-459-910341.out ### output ### # [...] # ocamlfind ocamldep -package bigarray,num,str -package bytes -modules src/batHeap.mli > src/batHeap.mli.depends # ocamlfind ocamlc -c -g -bin-annot -safe-string -no-alias-deps -strict-sequence -w -3 -package bigarray,num,str -warn-error -50 -package bytes -I src -I toplevel -I qtest -I testsuite -I benchsuite -I build -I benchsuite/lib -o src/batHeap.cmi src/batHeap.mli # ocamlfind ocamldep -package bigarray,num,str -package bytes -modules src/batHeap.ml > src/batHeap.ml.depends # ocamlfind ocamldep -package bigarray,num,str -package bytes -modules src/batIO.ml > src/batIO.ml.depends # build/prefilter.byte src/batUnix.mliv > src/batUnix.mli # ocamlfind ocamldep -package bigarray,num,str -package bytes -modules src/batUnix.mli > src/batUnix.mli.depends # ocamlfind ocamlc -c -g -bin-annot -safe-string -no-alias-deps -strict-sequence -w -3 -package bigarray,num,str -warn-error -50 -package bytes -I src -I toplevel -I qtest -I testsuite -I benchsuite -I build -I benchsuite/lib -o src/batUnix.cmi src/batUnix.mli # + ocamlfind ocamlc -c -g -bin-annot -safe-string -no-alias-deps -strict-sequence -w -3 -package bigarray,num,str -warn-error -50 -package bytes -I src -I toplevel -I qtest -I testsuite -I benchsuite -I build -I benchsuite/lib -o src/batUnix.cmi src/batUnix.mli # File "src/batUnix.mli", line 1: # Error: I/O error: No space left on device # Command exited with code 2. # make: *** [Makefile:107: all] Error 10 <><> Error report <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><> +- The following actions failed | - build batteries 3.5.1 +- +- The following changes have been performed | - install cppo 1.6.9 | - install dune 3.4.1 | - install extlib 1.7.9 | - install jbuilder 1.0+beta20.2 | - install ocamlbuild 0.14.1 +- # Run eval $(opam env) to update the current shell environment The former state can be restored with: opam switch import "/home/bench/.opam/ocaml-base-compiler.4.14.0/.opam-switch/backup/state-20220915014302.export"
true
No files were installed.
true


PLANET SICK-BOY: http://www.sick-boy.com
Would you get into a car that you knew was going to be in a horrific accident? Unless you're a character from David Cronenberg's Crash, the answer is probably no. But in Jesus' Son, FH has no problem making this decision. Hitchhiking, he accepts a ride from a nice family in an Oldsmobile, waits for the crash and, afterwards, hangs around at the hospital long enough to hear the mother's sickening screams.
FH (Billy Crudup, Without Limits) obviously isn't your ordinary guy. His name, an abbreviation for `F--- Head', was given to him because he constantly screws things up, especially when he tries to help people. But who is FH? Is he an angel? Is he really Jesus' son, or did he just listen to Velvet Underground's Heroin too many times? Perhaps he's just a delusional junkie. FH says that he knows everything before it happens and even knows the names of each raindrop. But it's hard to tell if he can really peer into the future, or if the drugs are making him think he can.
Jesus' Son follows the adventures of FH during his drug-and-alcohol-hazed travels throughout the ‘70s. Beginning in Iowa City and culminating in an Arizona nursing home, FH staggers throughout the country searching for everything, yet, at the same time, nothing in particular. He meets strange people, finds strange lines of work, and continually crosses paths with a woman named Michelle (Samantha Morton, Sweet & Lowdown) that FH feels is his soulmate. The couple often gets together for weekends of sex and drugs that dissolve into screaming fights.
The surreal film seems to lack a cohesive plot, partially due to the fact that it's based on a collection of short stories written by Denis Johnson. I'm not sure if the tales in Johnson's book are as unrelated as they appear here (it was adapted by three novice screenwriters), but the film isn't really presented in a way that emphasizes separate stories, resulting in a jumble of characters that you expect to jump back into the story but never do. There are only three constants – FH, Michelle and the drugs.
Eerily resembling Kurt Cobain in both appearance and lethargic demeanor, Crudup delivers a fine follow-up to his underrated turn as Steve Prefontaine in last year's widely overlooked film Without Limits. His FH, who also narrates the movie, has eyes that look haunted and lost, yet totally aware and ominiscient, which almost convinces you that he does have some type of special healing power. But like any decent film that revolves around drug use (Drugstore Cowboy, Rush), it's hard to decipher what's real as FH's hallucinations blend seamlessly into reality. Hell, one time I hit my thumb with a hammer so hard that I thought I saw a leprechaun.
Directed by Alison Maclean (Crush), Jesus' Son offers a ton of great ‘70s songs and some fine supporting roles (namely Denis Leary, Holly Hunter, Will Patton and Jack Black). But the finest part of the film is perhaps the utterly believable appearance of FH and Michelle. These two are simply disgusting. The only time either of them got anywhere near soap is when FH nearly overdosed and Michelle dragged him into a cold shower hoping to revive him. You could almost smell the stench of body odor in the theater (or maybe it was that guy next to me).
1:49 - R for graphic drug use, adult language, nudity and graphic violence
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
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Related links: index of all rec.arts.movies.reviews reviews


--- layout: page title: About header-img: "img/about-bg.png" ---
A brand strategist making the transition to web dev! I prefer fender tele's, malt / gin, lines that don't have perfect rhymes and for it all to be cooked medium-rare.


find_decreasing.Rd
find_decreasing()
Fits gam models to find features that are a decreasing function of distance from archetype. Both gam functions and first derivatives can be visualised using plot() method.
fit_arc_gam_1()
Finds single GAM model fit and it's first derivative for a single feature and one or several archetypes.
get_top_decreasing()
Find genes highest at each archetype above p-values threshold, and print top-12 genes and top-3 gene sets for each archetype.
find_decreasing_wilcox()
find features that are a decreasing function of distance from archetype by finding features with highest value (median) in bin closest to archetype (1 vs all Wilcox test).
bin_cells_by_arch()
find which cells are in bin closest to archetype.
find_tradeoff_wilcox()
: find features that are most different between 2 archetypes (at a tradeoff, DE, differentially expressed genes) by finding features with highest value (median) in bin closest to archetype (1 vs all Wilcox test).
find_decreasing(data_attr, arc_col, features = c("Gpx1", "Alb", "Cyp2e1", "Apoa2")[3], min.sp = c(60), N_smooths = 4, n_points = 200, d = 1/n_points, weights = c(rep(1, each = n_points), rep(c(1, 0), each = n_points/2))[1], return_only_summary = FALSE, stop_at_10 = TRUE, one_arc_per_model = TRUE, type = c("s", "m", "cmq")[1], clust_options = list(), ...) fit_arc_gam_1(feature, col, N_smooths, data_attr, min.sp, ..., d, n_points, weights) get_top_decreasing(summary_genes, summary_sets = NULL, cutoff_genes = 0.01, cutoff_sets = 0.01, cutoff_metric = "wilcoxon_p_val", p.adjust.method = c("fdr", "none")[1], gam_fit_pval = 0.01, invert_cutoff = FALSE, order_by = "mean_diff", order_decreasing = TRUE, min_max_diff_cutoff_g = 0.3, min_max_diff_cutoff_f = 0.1) find_decreasing_wilcox(data_attr, arc_col, features = c("Gpx1", "Alb", "Cyp2e1", "Apoa2")[3], bin_prop = 0.1, dist_cutoff = NULL, na.rm = FALSE, type = c("s", "m", "cmq")[1], clust_options = list(), method = c("BioQC", "r_stats")[1]) bin_cells_by_arch(data_attr, arc_col, bin_prop = 0.1, dist_cutoff = NULL, return_names = FALSE) find_tradeoff_wilcox(data_attr, arc_col = c("archetype_1", "archetype_2"), features = c("Gpx1", "Alb", "Cyp2e1", "Apoa2")[3], bin_prop = 0.1, na.rm = FALSE)
| data_attr | data.table dim(examples, dimensions) that includes distance of each example to archetype in columns given by |
|---|---|
| arc_col | character vector, columns that give distance to archetypes (column per archetype) |
| features | character vector (1L), column than containg feature values |
| min.sp | lower bound for the smoothing parameter, details: gam. Default value of 60 works well to stabilise curve shape near min and max distance |
| N_smooths | number of bases used to represent the smooth term (s), 4 for cubic splines |
| n_points | number of points at which to evaluate derivative |
| d | numeric vector (1L), finite difference interval |
| weights | how to weight points along x axis when calculating mean (integral) probability. Useful if you care that the function is decreasing near the archetype but not far away. Two defaults suggest to weight point equally or discard bottom 50 percent. |
| return_only_summary | return only summary data.table containing p-values for each feature at each archetype and effect-size measures (average derivative). |
| stop_at_10 | prevents |
| one_arc_per_model | If TRUE fit separate gam models for each archetype. If FALSE combine all archetypes in one model: feature ~ s(arc1) + s(arc2) + ... + s(arcN). |
| type | one of s, m, cmq. s means single core processing using lapply. m means multi-core parallel procession using parLapply. cmq means multi-node parallel processing on a computing cluster using clustermq package. |
| clust_options | list of options for parallel processing. The default for "m" is list(cores = parallel::detectCores()-1, cluster_type = "PSOCK"). The default for "cmq" is list(memory = 2000, template = list(), n_jobs = 10, fail_on_error = FALSE). Change these options as required. |
| ... | arguments passed to gam |
| summary_genes | gam_deriv summary data.table for decreasing genes |
| summary_sets | gam_deriv summary data.table for decreasing gene sets |
| cutoff_genes | value of cutoff_metric (lower bound) for genes |
| cutoff_sets | value of cutoff_metric (lower bound) for gene sets |
| cutoff_metric | probability metric for selecting decreasing genes: mean_prob, prod_prob, mean_prob_excl or prod_prob_excl |
| p.adjust.method | choose method for correcting p-value for multiple hypothesis testing. See p.adjust.methods and p.adjust for details. |
| gam_fit_pval | smooth term probability in gam fit (upper bound) |
| invert_cutoff | invert cutoff for genes and sets. If FALSE p < cutoff_genes, if TRUE p > cutoff_genes. |
| order_by | order decreasing feature list by measure in summary sets. By default is mean_diff, the average difference between cells in bin closest to archetype and all other cells. When using GAM instead of Wilcox test set this to one of c( "deriv100", "deriv50", "deriv20"), the average value of derivative at 20/50/100 percent of points closest to archetype. |
| order_decreasing | order significant categories using |
| min_max_diff_cutoff_g | what should be the mean difference (log-ratio, when y is log-space) of gene expression at the point closest to archetype compared to point furthest from archetype? When Wilcox method was used it is difference between mean of bin closest to archetype and all other cells. By default, at least 0.3 for genes and 0.1 for functions. |
| min_max_diff_cutoff_f | see min_max_diff_cutoff_g |
| bin_prop | proportion of data to put in bin closest to archetype |
| dist_cutoff | cutoff of cell distances to archetypes (high bound) to put cells into in bin closest to archetype. |
| method | how to find_decreasing_wilcox()? Use wmwTest or wilcox.test. BioQC::wmwTest can be up to 1000 times faster, so it is default. |
| return_names | return list of indices of cells or names of cells? |
find_decreasing()
list (S3 object, gam_deriv) containing summary p-values for features and each archetype, function call and (optionally) a data.table with values of the first derivative
fit_arc_gam_1()
list containing function call, 1st derivative values of GAM model (derivs), summary of GAM model (p-value and r^2, gam_sm)
get_top_decreasing()
print summary to output, and return list with character vector with one element for each archetype, and 2 data.table- with selection of enriched genes and functions.
find_decreasing_wilcox()
data.table containing p-values for each feature at each archetype and effect-size measures (average difference between bins). When log(counts) was used mean_diff reflects log-fold change.
bin_cells_by_arch()
list of indices of cells or names of cells that are in bin closest to each archetype
find_tradeoff_wilcox()
data.table containing p-values for each feature at each archetype and effect-size measures (average difference between bins). When log(counts) was used mean_diff reflects log-fold change.


JAMES MOON
I'm born and raised in Seattle and love the city. I'm currently enrolled as a student at Code Fellows in their Code 201 class. We're actively learning HTML, CSS, Javascript, how to use Git, and familiarity with Terminal.
Education
High School Degree
- Newport High School / 2005
AA Degree
- Bellevue College / 2009
Work Experience
Personal Banker
- Wells Fargo Bank / 2012 - 2016
Automotive Technician
- Lexus of Bellevue / 2011
Parts Specialist
- Lexus of Bellevue / 2008 - 2011
Top Ten Things to Know About James
- Love to Snowboard
- Works on Cars
- Played Violin for 13 Years
- Big fan of Star Wars
- Gamer at Heart
- Terrible golfer
- Never lived anywhere other than Seattle
- Waiting to visit Bora Bora
- Tropic Thunder may be a favorite movie
- Can eat Mexican food all day


C2C Resources BlockChain
基于区块链的资源C2C平台
点对点交易无人商城
所有物品一折抢购
区块链技术保证物品交易过程中的安全、开放、便捷。
互联网交易新模式
-
→ 没有管理员，没有客服
所有交易规则固化在系统中。 -
Permalinks
Go to a specific slide. -
Slide Counter
Current/Total number -
40+ Beautiful Components
Covers, cards, quotes... -
Vertical Rhythm
Use multiples of 8. -
500+ SVG Icons
Font Awesome Kit.
234,623,781
There are resource downloading from internet every moment,everywhere
互联网上的资源共享每时每刻都在发生
每个人都是资源的消费者和生产者
Share Photos(分享照片)
Share with others
People takes photos every day at work,at home or on travel.
- Role: Content Strategy
- Client: BTB
- Year: 2018
Share Videos
Recording good videos
分享自己录制的视频
or Good Books to share
分享好的书籍
or live streaming
在线直播
Follow the Footstep of Bitcoin, BTB gives value to all resources.
BTB定义了资源共享链的价值
BTB is designed to work as a resource value carrier.people share resource to gain BTB coin,and pay BTB coin to download resources
BTB Blockchain(区块链)
BTB coins is the value of your resources.
-
100% POS
百分百股权证明,同币同权
EfficientA total of 1,000,000,000 BTB coins.no more new coins will be generated
总量固定10亿枚BTB，不会再有新币产生
Each transaction has at least 1 BTB as fee.The miner got all the tranasctions fees.
-
1 minute each block
每分钟产生一个区块
All accounts with effective balance has the possibility to generate new block.
余额越多的账户，挖矿的概率越高，挖矿获取所有交易手续费
SHA256 EC-KCDSA(业界领先的安全加密算法)Accounts with more balance has more chance to generate new block.
-
Support Mobile Devices
支持移动设备挖矿
Low engery cost 挖矿无需大量能耗Mobile devices like Android or iOS is possible to generate new blocks.
Disk Mining(硬盘挖矿)
Earn BTB coin by sharing disk space.(共享闲置硬盘空间赚取BTB)
- Storage: Unlimited P2P storage space(打造无限容量分布式存储空间)
- Deal: Sell/Buy online storage(在线存储空间P2P交易)
- Secure: Highly secure and reliable(安全高效的存储解决方案).
BTB is based on High performance Blockchain
BTB 基于高速交易的区块链网络
The ability to process thousand of transactions per minute.
In creative work, the best are 10x better than the average, so huge premium on creating effective solution of the best.
Resource Streaming on bittorrent.
运行于BT网络之上的共享文件流
P2P network makes file download and upload extremely flexible,fast and effective.
P2P 网络中同时下载的用户越多，下载的速度越快。
Playing while downloading is supported for video resources
支持高清视频在线播放，节省时间与网络
Same file can only be shared once on the blockchain
Need to pay BTB coins before download any resource.
Data store for ever(数据永恒存储)
-
No deletion,no modification,no forgery(所有资源不可删除，不可修改，不可伪造)
分布式存储保证资源的真实性。 -
Resource Timestamp(每个资源都有时间戳标识)
When resource is published(资源发布时间准确) -
Resource Ownership(资源的所有权记录)
Who published this resource(资源版权信息真实)
Professional BTB Wallet
专业的BTB区块链銭包
-
Open source on github
Stable,Secure and easy to use. -
Resource Management
Share resources,buy resouces and watch videos online ... -
Display blockchain Info
BTB wallet has full ability to check detailed informations on the blockchain.


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.cbcrfrontend.controllers.routes @import uk.gov.hmrc.cbcrfrontend.model._ @import uk.gov.hmrc.cbcrfrontend.views.html._ @this(layout: Layout) @(cbcId:CBCId)(implicit request: Request[_], messages: Messages) @title = @{messages("regenerate.title")} @layout(title) {
@messages("regenerate.message") @cbcId
@messages("regenerate.message2")
@messages("regenerate.continue") @messages("form.controls.signOut"), @messages("regenerate.continue2")
}


Welcome to the EONET event searching and mapping tool. This application was developed for the 2016 NASA Space Apps Challenge in Indianapolis, IN. You can generate a map by selecting a base layer of your choice, using the checkboxes to set preferences, and then searching for EONET events by category and date. If you click on an event, the name and date/time of the event should appear in the top right hand corner.
The NASA Space App Challenge page is at https://2016.spaceappschallenge.org/challenges/earth/earth-live/projects/mapping-natural-events
Questions or feedback? Please contact Wendy Edwards ( wayward710@gmail.com).


{% extends "petitions/petition_form/petitionform_list.html" %} {% block title %} Petitions by Date {% endblock title %} {% block petitiontableheading %}
This table shows all the petitions submitted from {{startdate}} to {{enddate}} across all the prisons. You can search using any criteria
{% endblock %}