BLAST FROM THE PAST A film review by Christopher Null Copyright 1999 Christopher Null filmcritic.com
A great score never hurt anybody, and with its hoppin' swing tunes, BLAST FROM THE PAST gets quite a boost from a jumping swing soundtrack!
Oh... wait a sec... the movie, right? Well, what are you expecting? Maybe: "BLAST FROM THE PAST is a thoughtful analysis of Cold War posturing and American paranoia in the 1960's?" I don't think so. Let's try: "BLAST FROM THE PAST is a feel-good romp about a fish out of water who tries to make sense out of a world gone wacky!"
That'll do just fine. Adam (Fraser) is the fish. The world is late 1990's Los Angeles. The uber-hokey plot builds upon a jet crash-landing in the unborn Adam's backyard on the eve of the Bay of Pigs, sending the folks (Walken and Spacek) down into the enormous fallout shelter below. Convinced it's Armageddon, they hole up for 35 years, and Adam is born -- and raised -- with only his 1960's-mentality folks to guide him.
Then it's time to hit the surface.  But not so Apocalyptic that a boy can't find himself a girl (Silverstone)!
Okay, it's funny. I even laughed out loud. More than once. Dave Foley (of course) steals the show as Silverstone's hysterical confidant. Walken as the paranoid, anti-Commie father is also a treat to watch. Fraser isn't bad... very over the top, but not bad. Of course, Silverstone has the acting ability of a can of beets, but hey, nothing's perfect.
Perfect date movie for 1999. But I'm not sure this one will keep for 35 years.

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


Toggle navigation
Home
Log out
Registration
Edit User
Loginid:
FullName:
Email address
Edit
Delete User
Name:
Delete
Where to eat in Barcelona © All rights reserved!


Unless said otherwise, opaque objects are ``the same'' in all languages: they carry the same information, and have the same meaning in both languages. The mechanism described in the previous section can be used to pass references to MPI objects from language to language. An object created in one language can be accessed, modified or freed in another language.
We examine below in more detail, issues that arise for each type of MPI object.
Datatypes encode the same information in all languages. E.g., a datatype accessor like MPI_TYPE_GET_EXTENT will return the same information in all languages. If a datatype defined in one language is used for a communication call in another language, then the message sent will be identical to the message that would be sent from the first language: the same communication buffer is accessed, and the same representation conversion is performed, if needed. All predefined datatypes can be used in datatype constructors in any language. If a datatype is committed, it can be used for communication in any language.
The function MPI_GET_ADDRESS returns the same value in all languages. Note that we do not require that the constant MPI_BOTTOM have the same value in all languages (see Constants , page Constants ).
Example
! FORTRAN CODE REAL R(5) INTEGER TYPE, IERR, AOBLEN(1), AOTYPE(1) INTEGER (KIND=MPI_ADDRESS_KIND) AODISP(1) ! create an absolute datatype for array R AOBLEN(1) = 5 CALL MPI_GET_ADDRESS( R, AODISP(1), IERR) AOTYPE(1) = MPI_REAL CALL MPI_TYPE_CREATE_STRUCT(1, AOBLEN,AODISP,AOTYPE, TYPE, IERR) CALL C_ROUTINE(TYPE)
/* C code */ void C_ROUTINE(MPI_Fint *ftype) { int count = 5; int lens[2] = {1,1}; MPI_Aint displs[2]; MPI_Datatype types[2], newtype; /* create an absolute datatype for buffer that consists */ /* of count, followed by R(5) */ MPI_Get_address(&count, &displs[0]); displs[1] = 0; types[0] = MPI_INT; types[1] = MPI_Type_f2c(*ftype); MPI_Type_create_struct(2, lens, displs, types, &newtype); MPI_Type_commit(&newtype); MPI_Send(MPI_BOTTOM, 1, newtype, 1, 0, MPI_COMM_WORLD); /* the message sent contains an int count of 5, followed */ /* by the 5 REAL entries of the Fortran array R. */ }
Advice
to implementors.
The following implementation can be used: MPI addresses, as returned by MPI_GET_ADDRESS, will have the same value in all languages. One obvious choice is that MPI addresses be identical to regular addresses. The address is stored in the datatype, when datatypes with absolute addresses are constructed. When a send or receive operation is performed, then addresses stored in a datatype are interpreted as displacements that are all augmented by a base address. This base address is (the address of) buf, or zero, if buf = MPI_BOTTOM. Thus, if MPI_BOTTOM is zero then a send or receive call with buf = MPI_BOTTOM is implemented exactly as a call with a regular buffer argument: in both cases the base address is buf. On the other hand, if MPI_BOTTOM is not zero, then the implementation has to be slightly different. A test is performed to check whether buf = MPI_BOTTOM. If true, then the base address is zero, otherwise it is buf. In particular, if MPI_BOTTOM does not have the same value in Fortran and C/C++, then an additional test for buf = MPI_BOTTOM is needed in at least one of the languages.
It may be desirable to use a value other than zero for
MPI_BOTTOM even in C/C++, so as to distinguish it from a NULL
pointer.
If MPI_BOTTOM = c then one can still avoid the test
buf = MPI_BOTTOM, by using the displacement from
MPI_BOTTOM, i.e., the regular address - c, as the MPI address
returned by MPI_GET_ADDRESS and stored in absolute datatypes.
( End of advice to implementors.)
MPI calls may associate callback functions with MPI objects: error handlers are associated with communicators and files, attribute copy and delete functions are associated with attribute keys, reduce operations are associated with operation objects, etc. In a multilanguage environment, a function passed in an MPI call in one language may be invoked by an MPI call in another language. MPI implementations must make sure that such invocation will use the calling convention of the language the function is bound to.
Advice
to implementors.
Callback functions need to have a language tag. This tag is set
when the callback function is passed in by the library function (which
is presumably different for each language), and is used to generate
the right calling sequence when the callback function is invoked.
( End of advice to implementors.)
Advice
to implementors.
Error handlers, have,
in C and C++, a `` stdargs'' argument list.
It might be useful to
provide to the handler information on the language environment where
the error occurred.
( End of advice to implementors.)
Advice to users.
Reduce operations receive as one of their arguments the datatype of the
operands.
Thus, one can define ``polymorphic'' reduce
operations that work for C, C++, and Fortran datatypes.
( End of advice to users.)
Some of the datatype accessors and constructors have arguments of type MPI_Aint (in C) or MPI::Aint in C++, to hold addresses. The corresponding arguments, in Fortran, have type INTEGER. This causes Fortran and C/C++ to be incompatible, in an environment where addresses have 64 bits, but Fortran INTEGERs have 32 bits.
This is a problem, irrespective of interlanguage issues. Suppose that a Fortran process has an address space of 4 GB. What should be the value returned in Fortran by MPI_ADDRESS, for a variable with an address above 232? The design described here addresses this issue, while maintaining compatibility with current Fortran codes.
The constant MPI_ADDRESS_KIND is defined so that, in Fortran
90,
INTEGER(KIND=MPI_ADDRESS_KIND))
is an address sized integer type (typically, but not necessarily,
the size of an INTEGER(KIND=MPI_ADDRESS_KIND) is 4 on 32 bit address machines and 8 on 64
bit address machines).
Similarly, the constant
MPI_INTEGER_KIND is defined so that
INTEGER(KIND=MPI_INTEGER_KIND) is a default size
INTEGER.
There are seven functions that have address arguments:
MPI_TYPE_HVECTOR,
MPI_TYPE_HINDEXED,
MPI_TYPE_STRUCT,
MPI_ADDRESS,
MPI_TYPE_EXTENT
MPI_TYPE_LB and
MPI_TYPE_UB.
Four new functions are provided to supplement the first four functions in this list. These functions are described in Section Type Constructors with Explicit Addresses on page Type Constructors with Explicit Addresses . The remaining three functions are supplemented by the new function MPI_TYPE_GET_EXTENT, described in that same section. The new functions have the same functionality as the old functions in C/C++, or on Fortran systems where default INTEGERs are address sized. In Fortran, they accept arguments of type INTEGER(KIND=MPI_ADDRESS_KIND), wherever arguments of type MPI_Aint and MPI::Aint are used in C and C++. On Fortran 77 systems that do not support the Fortran 90 KIND notation, and where addresses are 64 bits whereas default INTEGERs are 32 bits, these arguments will be of an appropriate integer type. The old functions will continue to be provided, for backward compatibility. However, users are encouraged to switch to the new functions, in Fortran, so as to avoid problems on systems with an address range > 232, and to provide compatibility across languages.


 The days are getting shorter, and the nights colder--our God's comforting embrace is more important now than it ever was before.
What brings you to me today?
"Croop has asked me to organize a service for his cousin. Here's his letter."


{% extends "_layouts/basecp" %} {% set title = "Craft CMS Update"|t %} {% includecssresource "css/update.css" %} {% includejsresource "js/update.js" %} {% includeTranslations "Unable to determine what to update.", "An unknown error occurred. Rolling back…", "All done!", "Craft was unable to install this update :(", "The site has been restored to the state it was in before the attempted update.", "An error has occurred. Please contact {email}.", "No files have been updated and the database has not been touched." %} {% block body %}


Cultural Blog
Questions
July 20th, 2015
I first asked questions in IRC back in the day. Initially, I recieved a lot of follow up questions. I quickly learned that I needed to be much more specific when explaining the exact problem I was having. When asking a question in a forum, you should first do your own research to see if a solution has already been posted. This way, you're not wasting everyone's time. Then, if you do post, post as much information as possible, include error codes, intention, system environment details, log files, etc. Help them, help you. Be polite. They're doing you a favor by answering your question.


This presentation is an HTML5 web site
Press → key to advance.
Multicore.
Networks.
Clouds of CPUs.
Loads of users.
Our technology should help.
That's where concurrency comes in.
Go provides:
NO! A fallacy.
When Go was announced, many were confused by the distinction.
"I ran the prime sieve with 4 processors and it got slower!"
Programming as the composition of independently executing processes.
(Processes in the general sense, not Linux processes. Famously hard to define.)
Programming as the simultaneous execution of (possibly related) computations.
Concurrency is about dealing with lots of things at once.
Parallelism is about doing lots of things at once.
Not the same, but related.
One is about structure, one is about execution.
Concurrency provides a way to structure a solution to solve a problem that may (but not necessarily) be parallelizable.
Concurrent: Mouse, keyboard, display, and disk drivers.
Parallel: Vector dot product.
Concurrency is a way to structure a program by breaking it into pieces that can be executed independently.
Communication is the means to coordinate the independent executions.
This is the Go model and (like Erlang and others) it's based on CSP:
C. A. R. Hoare: Communicating Sequential Processes (CACM 1978)
This is too abstract. Let's get concrete.
Move a pile of obsolete language manuals to the incinerator.
With only one gopher this will take too long.
More gophers are not enough; they need more carts.
This will go faster, but there will be bottlenecks at the pile and incinerator.
Also need to synchronize the gophers.
A message (that is, a communication between the gophers) will do.
Remove the bottleneck; make them really independent.
This will consume input twice as fast.
The concurrent composition of two gopher procedures.
This design is not automatically parallel!
What if only one gopher is moving at a time?
Then it's still concurrent (that's in the design), just not parallel.
However, it's automatically parallelizable!
Moreover the concurrent composition suggests other models.
Three gophers in action, but with likely delays.
Each gopher is an independently executing procedure,
plus coordination (communication).
Add another gopher procedure to return the empty carts.
Four gophers in action for better flow, each doing one simple task.
If we arrange everything right (implausible but not impossible), that's four times faster than our original one-gopher design.
We improved performance by adding a concurrent procedure to the existing design.
More gophers doing more work; it runs better.
This is a deeper insight than mere parallelism.
Four distinct gopher procedures:
Different concurrent designs enable different ways to parallelize.
We can now parallelize on the other axis; the concurrent design makes it easy. Eight gophers, all busy.
Keep in mind, even if only one gopher is active at a time (zero parallelism), it's still a correct and concurrent solution.
Here's another way to structure the problem as the concurrent composition of gopher procedures.
Two gopher procedures, plus a staging pile.
Run more concurrent procedures to get more throughput.
Bring the staging pile to the multi-gopher concurrent model:
Use all our techniques. Sixteen gophers hard at work!
There are many ways to break the processing down.
That's concurrent design.
Once we have the breakdown, parallelization can fall out and correctness is easy.
In our book transport problem, substitute:
It becomes a concurrent design for a scalable web service.
Gophers serving web content.
Not the place for a tutorial, just quick highlights.
A goroutine is a function running independently in the same address space as other goroutines.
f("hello", "world") // f runs; we wait
go f("hello", "world") // f starts running g() // does not wait for f to return
Like launching a function with shell's & notation.
(They're a bit like threads, but they're much cheaper.)
Goroutines are multiplexed onto OS threads as required.
When a goroutine blocks, that thread blocks but no other goroutine blocks.
Channels are typed values that allow goroutines to synchronize and exchange information.
timerChan := make(chan time.Time) go func() { time.Sleep(deltaT) timerChan <- time.Now() // send time on timerChan }() // Do something else; when ready, receive. // Receive will block until timerChan delivers. // Value sent is other goroutine's completion time. completedAt := <-timerChan
The select statement is like a switch, but the decision is based on ability to communicate rather than equal values.
select { case v := <-ch1: fmt.Println("channel 1 sends", v) case v := <-ch2: fmt.Println("channel 2 sends", v) default: // optional fmt.Println("neither channel was ready") }
Really.
It's routine to create thousands of goroutines in one program.
(Once debugged a program after it had created 1.3 million.)
Stacks start small, but grow and shrink as required.
Goroutines aren't free, but they're very cheap.
Make some concurrent calculations easier to express.
They are just local functions.
Here's a non-concurrent example.
func Compose(f, g func(x float) float) func(x float) float { return func(x float) float { return f(g(x)) } } print(Compose(sin, cos)(0.5))
Learn concurrent Go by osmosis.
Use a closure to wrap a background operation.
This copies items from the input channel to the output channel.
go func() { // copy input to output for val := range input { output <- val } }()
The for range operation runs until channel is drained.
A unit of work:
type Work struct { x, y, z int }
A worker task:
func worker(in <-chan *Work, out chan<- *Work) { for w := range in { w.z = w.x * w.y Sleep(w.z) out <- w } }
Must make sure other workers can run when one blocks.
The runner:
func Run() { in, out := make(chan *Work), make(chan *Work) for i := 0; i < NumWorkers; i++ { go worker(in, out) } go sendLotsOfWork(in) receiveLotsOfResults(out) }
Easy problem but also hard to solve concisely without concurrency.
The load balancer is implicitly parallel and scalable.
NumWorkers could be huge.
The tools of concurrency make it almost trivial to build a safe, working, scalable, parallel design.
No explicit synchronization needed.
The structure of the program is implicitly synchronized.
Let's do a more realistic load balancer.
The requester sends Requests to the balancer.
type Request struct { fn func() int // The operation to perform. c chan int // The channel to return the result. }
Note the return channel inside the request.
Channels are first-class values.
An artificial but illustrative simulation of a requester, a load generator.
func requester(work chan<- Request) { c := make(chan int) for { // Kill some time (fake load). Sleep(rand.Int63n(nWorker * 2 * Second)) work <- Request{workFn, c} // send request result := <-c // wait for answer furtherProcess(result) } }
A channel of requests, plus some load tracking data.
type Worker struct { requests chan Request // work to do (buffered channel) pending int // count of pending tasks index int // index in the heap }
Balancer sends request to most lightly loaded worker.
func (w *Worker) work(done chan *Worker) { for { req := <-w.requests // get Request from balancer req.c <- req.fn() // call fn and send result done <- w // we've finished this request } }
The channel of requests (w.requests) delivers requests to each worker. The balancer tracks the number of pending requests as a measure of load.
Each response goes directly to its requester.
Could run the loop body as a goroutine for parallelism.
The load balancer needs a pool of workers and a single channel to which requesters can report task completion.
type Pool []*Worker type Balancer struct { pool Pool done chan *Worker }
Easy!
func (b *Balancer) balance(work chan Request) { for { select { case req := <-work: // received a Request... b.dispatch(req) // ...so send it to a Worker case w := <-b.done: // a worker has finished ... b.completed(w) // ...so update its info } } }
Just need to implement dispatch and completed.
Make Pool an implementation of the Heap interface by providing a few methods such as:
func (p Pool) Less(i, j int) bool { return p[i].pending < p[j].pending }
Now we balance by making the Pool a heap tracked by load.
All the pieces are in place.
// Send Request to worker func (b *Balancer) dispatch(req Request) { // Grab the least loaded worker... w := heap.Pop(&b.pool).(*Worker) // ...send it the task. w.requests <- req // One more in its work queue. w.pending++ // Put it into its place on the heap. heap.Push(&b.pool, w) }
// Job is complete; update heap func (b *Balancer) completed(w *Worker) { // One fewer in the queue. w.pending-- // Remove it from heap. heap.Remove(&b.pool, w.index) // Put it into its place on the heap. heap.Push(&b.pool, w) }
A complex problem can be broken down into easy-to-understand components.
The pieces can be composed concurrently.
The result is easy to understand, efficient, scalable, and correct.
Maybe even parallel.
We have a replicated database and want to minimize latency by asking them all and returning the first response to arrive.
func Query(conns []Conn, query string) Result { ch := make(chan Result, len(conns)) // buffered for _, conn := range conns { go func(c Conn) { ch <- c.DoQuery(query): }(conn) } return <-ch }
Concurrent tools and garbage collection make this an easy solution to a subtle problem.
(Teardown of late finishers is left as an exercise.)
Concurrency is powerful.
Concurrency is not parallelism.
Concurrency enables parallelism.
Concurrency makes parallelism (and scaling and everything else) easy.
Go: golang.org
Some history: swtch.com/~rsc/thread/
A previous talk (video): tinyurl.com/newsqueak
Parellelism is not concurrency (Harper): tinyurl.com/pincharper
A concurrent window system (Pike): tinyurl.com/pikecws
Concurrent power series (McIlroy): tinyurl.com/powser
And finally, parallel but not concurrent:
research.google.com/archive/sawzall.html


| read.infos.rivers | R Documentation |
Columns in the csv file: id, name, lat, lon, grid, ycell, xcell, filename
read.infos.rivers(filename, grids)
filename |
path and name of the csv file with river information |
grids |
nested list with grid definitions: grids$fine and grids$coarse are grid definitions of the fine and coarse, respectively BSH-HBM grids |
Elements of the output list: filename, lon, lat, xcell, ycell, grid, riverid, rivername
nested list with grid information it contains:
Daniel Neumann<EMAIL_ADDRESS>get.infos.grids.hbm.basic
# get grid info: grid_info <- get.infos.grids.hbm.basic() # set filename file <- 'files/river_list.dat' # get river infos riverInfos <- read.infos.rivers(file, grid_info) # (you will get some warnings here) Elements of the output list: filename lon lat xcell ycell grid [fine,coarse] riverid rivername


Maybe I should start by telling something about myself. I'm a seventeen year old boy. I'm in Senior High School. I'm interested in physics, arts and so on. Before my first 5-MeO-DIPT experience I have tried substances like: LSD, MD(MA/A/EA), GHB and THC. Most of my experiments were with LSD.
OK, but now, let's get down to business. I was going to a rave which was being held deep down in the forest. All looked good and I hadn't even thought of taking any psychedelic, etc. All of a sudden, it started to rain alot. People were still dancing, though, including me. I had heard that a sort of friend of mine had 2C-T-7 with him at the party. After a while I went to him and asked did he have the substance. He said no. I had also heard that he had a tryptamine called 5-MeO-DIPT with him, so I asked did he have that. He said yes and I bought 30mg of the substance.
I had read about 5-MeO-DIPT before. I based my information on the books like TiHKAL and various websites on the net. After a while I put the two capsules (10 mg each) into my mouth and swallowed them down with some water. I knew that it was pretty high dose, but I also knew that I was going to handle it OK.
After a while I started to feel something. That little itching feeling in the back of my neck, knees, elbows and wrists. I thought that I should get home and do some intensive research (notes, etc.) before the trip started for good. I managed to get a ride, but unluckily my ex-friend wanted to come with the same car. I thought that it was OK and we started walking to the car.
While we were walking from the forest to the parking lot we went by a semi-large pond. As I told, it had just been raining and there was some steam over the pond. Trees were green and the atmosphere was a little bit foggy. All of a sudden, I started to hear voices of grasshoppers, parrots, insects and monkeys. It was pretty strange, because I live in Finland and there are no parrots or monkeys around here, but I knew that it was OK because it is known that 5-MeO-DIPT causes some auditory hallucinations. I smiled and kept going on, carrying a sleeping bag in my hand. We ran into some people who were going in the opposite direction (to the party, that is). I smiled to them all, huge grins. They were not so happy about that, because of the rain. They probably didn't enjoy the rain as much as I did.
When we got back to the car I went to the back seat and I didn't talk until after about 25 minutes when we were at the front of my apartment. Then my friend did the thing that made the trip a nightmare. He had taken 10 mg of the substance and said that he couldn't go home, because he was too 'fucked up' to be straight. I was pretty amazed, because I was feeling pretty sharp although I took twice as much as he took. Well, I wasn't sure that I wanted him to come with me, but he kept on pushing and pushing and after a while he was at my apartment. I was (frankly) pissed, because I had some plans for the evening (as I said, I wanted to make notes, etc.).
Well, he kept going on with loads of nonsense. He kept talking about things that I really didn't want to hear. TV programs, etc. (I don't even watch TV, I hate the whole thing.) I listened to him and told him that he would really have to go. He didn't leave my apartment.
I put on a vinyl (The Moody Blues) to my record player. The auditory hallucinations were amazing. I tried to analyze them, but it wasn't easy, because of my friend. The visual hallucinations got stronger. I saw the pictures of the outlines of lotus flowers running thru various parts of me. They didn't appear on the walls or anything elsewhere. Just in my hands, legs, face (I looked into a mirror), and so on. I tried to find the ground zero of the 'flowers' but I didn't manage to find it, because I had to blink my eyes.
As I said, I had tried LSD before. The 5-MeO-DIPT reminds me a lot of LSD. Only the auditory hallucinations are different.   I can't describe the feeling, but it was awful. I was seeing pictures of hillbilly farmers in my mind and I really started to feel bad. I went to shower as fast as I could to remove the images of my friend and other hillbillies from my mind.
I took off my clothes and looked into the mirror. Again, I saw lotus flowers all over my body. I smiled to my mirror image and went into the shower. It was fabulous. I thought I could feel every single drop of water on my body. And of course, the sounds were amazing. When I took some water on my mouth and spit it to the floor, the sound came about 3 seconds after I saw the water hit the floor. And the distance between my head and the floor seemed huge. Well, I washed myself, dried myself, put on some clean clothes and went back to my room, where my unwanted friend was still lying on my bed.
I explained to him that my trip was going to be a bummer because of him, and told him that I could help him to get home. He said that he didn't want to go home. Well, I told him, we could take a walk. He didn't want to take a walk. I gave him lots of options, but he didn't like any of them. Then I just said that I really want him out of my apartment, because I was feeling really bad with him. He still didn't leave the house.
After 3 hours, I finally managed to get him out of the house. But then, I was feeling so bad (mentally) that I tried to cheer up by reading some book. I read about 20 pages of physics and felt a little bit better. The time was 9 AM, and I thought I should get some sleep before I should go and do my laundry 12 AM. I was tossing and turning in my bed for about 30 minutes before I managed to get some sleep. I slept for 6 hours and woke up. I was feeling really bad. I was feeling all dirty and sweaty (I didn't sweat actually). I went to the shower again and I was feeling pretty OK, just a little bit 'numb', but OK.
That was my 'not-so-great' 5-MeO-DIPT experience. I know why it wasn't so great. I had lousy set & setting and I was pretty tired during the trip. I still have 10 mg of the substance left in my freezer and I have plans to try the stuff out after a couple of weeks or so. On a sunny day, all alone. I think that the substance has a lot of potential of becoming the 'new' LSD. That actually scares me just a little bit. If the substance will spread all over the streets, it's going to be banned for sure. Let's just hope and act smart so that the social 'LSD effect' doesn't happen on this substance, because we have lots of studying to do.
Thanks and have a great Independence Day,
--EuFiHel. (4th of July, 2000)
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


1. Install oh-my-zsh:sh -c "$(curl -fsSL https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh)" 2. Add bluo theme to oh-my-zsh:mkdir -p $ZSH_CUSTOM/themes && curl<EMAIL_ADDRESS>-L -o $ZSH_CUSTOM/themes/bluo.zsh-theme 3. Paste below code:nano ~/.zshrc 4. Find 'ZSH_THEME' and set it to 'bluo' as shown below:ZSH_THEME="bluo" Press Ctrl+X, type y/Y and press return. Now restart your terminal.


source file: /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/dateutil/tz/__init__.py
file stats: 3 lines, 3 executed: 100.0% covered
1. from .tz import * 2. 3. __all__ = ["tzutc", "tzoffset", "tzlocal", "tzfile", "tzrange", 4. "tzstr", "tzical", "tzwin", "tzwinlocal", "gettz"]


Steem Developer Portal
PY: Account Reputation
Would you like to know how to interpret account reputation to more human readable format, then this tutorial is for you.
Full, runnable src of Account Reputation can be downloaded as part of the PY tutorials repository.
Intro
Account reputation is long integer string which requires special function or formula to convert in more human readable format. We will define that function in this tutorial and show how to fetch and interpret reputation.
Steps
- App setup - Library install and import
- Account list - List of predefined accouns to select from
- Reputation interpret - Reputation converting function
- Print output - Print results in output
1. App setup
In this tutorial we will use 4 packages, pick
- helps us to select filter interactively. steem
- steem-python library, interaction with Blockchain. pprint
- print results in better format and math
to perform some math calculations.
First we import all libraries and initialize Steem class
import pprint
import math
from pick import pick
# initialize Steem class
from steem import Steem
s = Steem()
2. Account list
Next we will show predefined account list to select and setup pick
properly.
title = 'Please choose account: '
options = ["steemitblog","esteemapp","busy.org","demo"]
# get index and selected filter name
option, index = pick(options, title)
# option is printed as reference
pprint.pprint("Selected: "+option)
This will show us list of accounts to select in terminal/command prompt. And after selection we will fetch account details from Blockchain with get_accounts
function.
user = s.get_accounts([option])
3. Reputation interpret
Next we will define reputation interpreter:
def rep_log10(rep):
"""Convert raw steemd rep into a UI-ready value centered at 25."""
def log10(string):
leading_digits = int(string[0:4])
log = math.log10(leading_digits) + 0.00000001
num = len(string) - 1
return num + (log - int(log))
rep = str(rep)
if rep == "0":
return 25
sign = -1 if rep[0] == '-' else 1
if sign < 0:
rep = rep[1:]
out = log10(rep)
out = max(out - 9, 0) * sign # @ -9, $1 earned is approx magnitude 1
out = (out * 9) + 25 # 9 points per magnitude. center at 25
return round(out, 2)
Above function will cover all edge cases, for example, if account is new their reputation is 0
hence, default starting reputation will be 25
. If reputation negative that’s also considered.
4. Print output
After we have fetched account details from Blockchain, all we have to do is to use defined function above to interpret account’s reputation
field into meaningful number.
# print specified account's reputation
pprint.pprint(rep_log10(user[0]['reputation']))
That’s it. We have successfully interpreted reputation.
To Run the tutorial
- review dev requirements
- clone this repo
cd tutorials/20_account_reputation
pip install -r requirements.txt
python index.py
- After a few moments, you should see output in terminal/command prompt screen.


HTML and CSS are essential elements of web development. They work hand in hard to display what we see on the page. HTML is the foundation of the page. You can think of HTML as the foundation and structure of the house. HTML provides the initial layout of what you see on screen. Similar to a house structure, it’s very colourless and standard.
CSS on the other hand is what gives a webpage style and makes it aesthetic. You can think of CSS as the colour of the walls and doors. CSS adjusts the elements of the HTML home so that it can look more decorative.
HTML can exist without CSS but CSS cannot exist without HTML. A plain house can be made without any decoration but you aren’t able to decorate a house if the house doesn’t exist!
Control Flow is the order in which code is executed. The way a code is written on a page will affect what order it will be executed in. It’s similar to how you plan things in your day at different times. For example, at 9am you go for a jog, at 12pm you have lunch and at 3pm you see your friend. First you will go for a jog, then you will havelunch and after that you will see your friend. The order in which you execute your tasks depends on what time you planned to do so. The earlier the task, the earlier it is executed.
Loops are actions that continue to repeat instelf until it's signalled to stop. Loops are like when you boil water on a kettle. When the kettle is turned on, the temperature of the kettle continues to rise until the water reaches boiling point. Once the water reaches boiling point, the kettle automatically turns off.
The Document Object Model, otherwise known as the DOM is the webpage you see in front of you but it is translated into a tree made out of different objects. The DOM tree objects are called nodes and is similar to how a family tree would be written down, but each child only has one parent. You can access the DOM and change elements/objects/nodes through the DevTools. When you use the DevTools are you able to made edits to the webpage.You are also able see the code that was made to make the webpage and you can make edits to this code.
An example of why you may want to use the DevTools to access the DOM is when you want to change the size of a title on a webpage. When you change the size of the title, you are able to see the results straight away.
Being able to see results straight away, helps web developers to adjust a web page. However, these adjustments aren't permanent unless the DOM/DevTools is linked to the original code.
Objects are a list of different values that belong under one umbrella but have different properties. An example of an object would be a person. Lets say there was a person called Bella and she was 30 years old. Bella's hobbies are dancing and gaming. Bella would be the object and the values that would come under Bella is that she was 30 and she enjoys dancing and gaming. These values come under Bella but have different properties. The properties are 'age' and 'hobbies'.
The way you access data from objects is that you first state the object, then state the property that it is in. You can either state the property inside brackets [ ] or just use .(insertpropertyhere). Below are examples of accessing data using dot notation and bracket notation.
Arrays are values that come under one umbrella and have the same property. An example of this would be fruit. Strawberries, bananas and mangoes are all fruit and share the same property. 'Fruit' would be the array and the strawberries, bananas and mangoes would be the values.
An array is like a list where the first value is numbered 0, the second value is numbered 1 and the list goes on for the remaining values of the array. When you want to access data to an array, you state the name of the array and the number the value is in. The number must be put inside brackets.
A function is a block of code that can contain multiple tasks. Instead of trying to complete multiple tasks one by one, you can complete a function that can complete multiple tasks at once.
You can compare it to making your own pancake batter vs buying a store-bought pancake mix. When you make your own batter, you have to put all the ingredients together one by one, which can take a lot of time. When you buy store-bought mix, the ingredients are already mixed together and the batter is ready to go - saving you a lot of time. The store-bought mix is similar to a function - it saves times and is already formulated.
Functions are useful because you are able to call on blocks of code without having to write it out again. This makes the code look neater and also saves time.


Our service can increase your teams productivity, improve decision-making and outcomes, generate value and ensure your organisation remains compliant.
Legal research in one firm can be very different to another firm; we love this diversity and aim to offer a service that is completely flexible, to fit in with you and your company needs.
We work with a huge range of firms; from independent legal firms where we provide all their legal research to large companies with existing internal legal research support which we are able to complement.
Whether you need a quick list of legislation or want to delegate an entire project - we can help. No project is too large or too small. Regardless of the project LegislationHub offers exceptional research at affordable prices.
An overview of our legal research and services:
Legal work and research is getting tougher. Clients demand quick responses and outstanding service, and lawyers are expected to handle a wider number of cases every year. Without legal research they will fall behind.
LegislationHub gives you the highest-standard legal research and knowledge on the market. Our research provides a wide range of practice areas and helps lawyers get to the right information for the work they’re doing.
With the right insight and information, we can work on any case effectively and efficiently.
By outsourcing your legal research to LegislationHub you obtain substantial benefits, on a contract basis, for a very reasonable fee.
We know the importance of operating within a budget. We’ll work with you to develop a research plan tailored to your needs and resources. Depending on the nature of your project, we may bill by the hour or charge a flat fee.


This week of the Egyptian Gazette contained a consistent current event throughout the duration of the week regarding the blowing up of an old naval vessel, The Chatham. Apparently being fairly important news, as the vessel had wrecked in a major fresh water canal popular for the movement and transportation of good, this week of the paper held a special section each day for the process of the ship’s disposal. The amount of dynamite that had been acquired to destroy the wreckage was on pace to set a world record for the largest explosion of dynamite to date, weighing nearly ninety two tons. Of course, along with this massive amount of explosives came the necessity to put to plan a series of precautions and emergency aids in case anything went wrong. The explosives were to be carried to the scene of the wreckage by train, and detonated through a length of copper wire hooked up to a detonator.
The townspeople at this time were extremely anxious for the explosion out of fear that some of their personal property may accidentally be destroyed. However, as the week continues on and the anticipation comes to rise, the people near the explosion were shockingly disappointed in the effect of it. Having built up a drastic image in their mind, the world record shattering explosion was fairly disappointing to the people, as they hardly even felt the shock being nineteen kilometers away from the site. The underwater explosion destroyed a decent amount of the naval vessel, while shooting tons of sand, water, and other debris hundreds of feet in the air. While the explosion was considered a success, there was a slight repair process and one of the banks of the canal had been fairly destroyed, and a number of railway lines needed repair. However, officials told the paper that transportation shouldn’t be delayed more than a few days.


WARNINGS:
Make sure to set up your Epson in A4 paper mode or you're screwed. Chrome does not override printer preferences.
Make sure the printer has AS ITS DEFAULT set 'backside tray' set up (NOT tray 1 or tray 2!) or your sticker pages won't be printed and nasty things will happen
Print half the rows, then rotate the page 180 degrees and re-insert it into the printer to print the remainder - that's what the sticker rows are for. Epson does some very nasty rescaling and refuses to print till the end of the page, so in order to use all stickers on a 13x5 sticker page, you will need 2 print runs anyway...
TypeNumber:
ErrorCorrectionLevel:
L(7%)
M(15%)
Q(25%)
H(30%)
Mode:
Numeric
Alphanumeric
Byte
Kanji
Multibyte:
None
SJIS
UTF-8
Site:
(Hint: Encode row & column as
{row}
and
{col}
)
Row:
Col:
Sticker Rows:


Point of sales
all Features
Custumers
Manage your business with tools to streamline processes smartly
Sales
Manage your business with tools to streamline processes smartly
Items
Manage your business with tools to streamline processes smartly
Reports
Manage your business with tools to streamline processes smartly
Gift Cards
Manage your business with tools to streamline processes smartly
Suppliers
Manage your business with tools to streamline processes smartly
Cashups
Manage your business with tools to streamline processes smartly
Expenses Categories
Manage your business with tools to streamline processes smartly
Expenses
Manage your business with tools to streamline processes smartly
Receiving
Manage your business with tools to streamline processes smartly
Sales
Manage your business with tools to streamline processes smartly
Item Kits
Manage your business with tools to streamline processes smartly
Messages
Manage your business with tools to streamline processes smartly
Home
Manage your business with tools to streamline processes smartly
Taxes
Manage your business with tools to streamline processes smartly
pricing
One Time
- Unlimited User
- Full Time Support
- Free Backup
- 2 Months Free Service
One Time
- Unlimited User
- Full Time Support
- Free Backup
- 2 Months Free Service
Best suited for
Super Shops
Shoe Stores
Clothing Stores
Gift Shops
Appliance Stores
Electronic Shops
Auto Parts & Accessories
Computer Accessories


Pixel 4’s Google Assistant takes down Siri w/ ‘Continued Conversation’ [Video]
by Ben SchoonIt’s hard to argue that Apple’s Siri is better than Google Assistant, and, thanks to improvements on the Pixel 4, Google’s lead is only increasing.
In Depth Tech Reviews put the “new” Google Assistant on the Pixel 4 up against Siri on the iPhone 11 Pro Max. The biggest advantage the new Assistant is supposed to have is speed, but the difference isn’t all that huge in this test. Assistant is faster for the most part, but many of the commands are basically the same speed.
Where Google Assistant really pulls ahead in this test is accuracy. Not only did Google Assistant understand more commands, but it could interact with more apps such as Google Photos and the Camera.
Through the entire test that consisted of sending photos to contacts, changing device settings, and more, the tester only had to physically touch the Pixel a couple of times. Meanwhile, the iPhone required physical interaction on several commands and, on a few others, it couldn’t match the Assistant’s actions. For example, asking Assistant to “take a selfie in five seconds” opened the camera app and started a timer while Siri only opened the camera app.
Another big part of why Assistant beat Siri by so much was its Continued Conversation feature. This allows Assistant on the Pixel 4 to accept a new command without any user interaction after the first command. Siri, on the other hand, required either a press on the display or of the side button to accept another command.
The end result of the test saw Apple’s Siri taking about an extra minute to get through the task list compared to Assistant on Pixel 4.
More on Google Assistant:
- Review: Subtlety makes and breaks the Pixel 4’s new Google Assistant
- New compact Google Assistant inspired by Pixel 4 starts rolling out to older phones
- Direct Google Assistant integration now available for Tile Bluetooth trackers
FTC: We use income earning auto affiliate links. More.


Before Change
outputs
)
if isinstance(output, tuple):
output = list(output)
if not isinstance(output, list):
output = [output]
outputs[operation.name] = output
After Change
try:
inputs = []
for op_input in operation.inputs:
if isinstance(op_input[1], int):
// The output of the indicated operation has only
// one field; use that as the input to the current op
op_name, field_idx = op_input
inputs.append(outputs[op_name][field_idx])
elif isinstance(op_input[1], str):
// The output of the indicated operation has a dict
// of fields; extract the designated field by name
op_name, field_key = op_input
inputs.append(outputs[op_name][field_key])
else:
raise ValueError(
f"Invalid input to operation {operation}: "
f"{op_input}. Expected an input specification "
f"of type (str, int) or (str, str)."
)
except Exception:
raise ValueError(f"Unrecognized operation {operation}.")
output = self.module_pool[operation.module_name].forward(
*inputs


To crudely semi-plagiarize from Entertainment Weekly, who in their right mind would expect anything but good things from William Goldman's adaptation of a Stephen King novel directed by Scott Hicks (Shine) and starring Anthony Hopkins? Of course, Hollywood has been able to muck up a seemingly unmuckable roster in the past (Sphere comes immediately to mind) but please let me tell you now, this is no Sphere. This is a treasure.
People potentially put off by "adaption of a Stephen King novel" obviously haven't been reading him lately. Let me give you some perspective: did you like Shawshank Redemption, Stand By Me, The Green Mile, maybe even Apt Pupil? This is the King on display here, softened even more by the deft hand of William Goldman. Goldman speaks Kingese as well as Frank Darabont does, and my frequent readers will recognize that as high praise indeed. He shows without telling in an effortless, non-lingual way, and it's delightful. The late Piotr Sobocinski is the cinematographer, and this is indeed a glorious swansong; everything is beautiful, everyone is carefully placed in the frame, every visual detail is crisp and perfect, like the best parts of a favorite memory.
Before the show began, I told my companion that I knew I had read this book, it was on my shelf, I could picture the cover, but I had zip of an idea what it was about. The maddeningly vague ad campaign was no help either. As soon as Hopkins' hands curled around his paper shopping bags, I remembered the whole thing, and I was just so glad to be there. I understand why the ads and even the publicity copy is so vague - how do you describe it? If you haven't read the book, you would only be attracted by the pedigree. When my boyfriend asked what the movie was about when I came home, streaked in tears, I would only have been able to explain it by ruining it. So I said, it's just great. As I am telling you now: go forth, and reward the studio for making this movie.
Many of King's best works (It, Stand By Me, for example) depend on his brilliant, gleaming adoration of childhood friendships, notably around age 11-14, when the mind is the most open and innocence and curiosity and everything are just budding but have not ruined the mind. This film is no exception. It's wonderful. I cried, more than once, as did my very cynical (as a rule) male companion. This is one of those films where, actually, very few happy things happen, yet the feeling walking home is one of uplifted wonder and melancholy joy.
Anthony Hopkins' eyes can see forever. There are many unanswered questions with regards to his Ted Brautigan, but we believe him and believe in him because of his eyes. Mychael Danna's music (he also did The Sweet Hereafter and the Ice Storm) is hauntingly delicate, like the film itself. Our copy actually broke 80 minutes into the film - we weren't budging, despite missing 10 minutes and being told we'd have to wait 30 minutes. The whole room was transfixed - what would happen next? Lovely. Anton Yelchin is young Booby Garfield (David Morse is him grown up - take close look at all his props, they say so much about his character) and he is lovely, very open and natural and sweet and real. Mika Boorem (I recognized her, belatedly, as the child Ally McBeal, but she has a good resume) is also dreamlike in her perfection as the best gal pal.
Full Price for sure.
~~~~~~~~~~~~~~~~~~~~~~~ These reviews (c) 2001 Karina Montgomery. Please feel free to forward but just credit the reviewer in the text. Thanks<EMAIL_ADDRESS>Check out previous reviews at: http://www.cinerina.com http://ofcs.rottentomatoes.com - the Online Film Critics Society http://www.hsbr.net/reviews/karina/ - Hollywood Stock Exchange Brokerage Resource http://www.mediamotions.com http://www.capitol-city.com
========== X-RAMR-ID: 29579 X-Language: en X-RT-ReviewID: 250952 X-RT-TitleID: 1110107 X-RT-SourceID: 755 X-RT-AuthorID: 3661
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


protected fun limit(value: Double): Double
Limit a given value to something that can be applied to a motor


| [ Team LiB ] |
|
[SYMBOL]
[A]
[B]
[C]
[D]
[E]
[F]
[G]
[H]
[I]
[J]
[K]
[L]
[M]
[N]
[O]
[P]
[Q]
[R]
[S]
[T]
[U]
[V]
[W]
[X]
[Y]
[Z]
Zawinski's Law 2nd zcat Zen 2nd 3rd 4th 5th 6th 7th 8th 9th 10th and value of detachment zip 2nd 3rd |
| [ Team LiB ] |


--- layout: data_model title: GroupingRelationshipType this_version: 4.1 ---
The GroupingRelationshipType provides a mechanism for specifying the relationship that groups together the Malware Subjects in a Package.
| Field Name | Type | Description |
|---|---|---|
| Type0..1 | ControlledVocabularyStringType |
The Type field specifies the type of relationship that groups the Malware Subjects in the Package. This field is implemented through the xsi:type controlled vocabulary extension mechanism. The default vocabulary type is GroupingRelationshipTypeVocab-1.0 in the http://maec.mitre.org/default_vocabularies-1 namespace. This type is defined in the maec_default_vocabularies.xsd file or at the URL http://maec.mitre.org/XMLSchema/default_vocabularies/1.0.0/maec_default_vocabularies.xsd. |
| Malware_Family_Name0..1 | string |
The Malware_Family_Name field specifies the name of the malware family referred to by the 'same_malware_family' relationship type. |
| Malware_Toolkit_Name0..1 | string |
The Malware_Toolkit_Name field specifies the name of the malware toolkit referred to by the 'same_malware_toolkit' relationship type. |
| Clustering_Metadata0..1 | ClusteringMetadataType |
The Clustering_Metadata field specifies any metadata regarding the algorithm and/or methods used for cluster the Malware Subjects in this Package. |