MISSION: IMPOSSIBLE 2 A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): **
It is rare when the sequel, GODFATHER PART II being perhaps the most popular example, is better that the original. Regardless of the hype surrounding the change of directors in MISSION: IMPOSSIBLE 2, with famed action director John Woo (BROKEN ARROW and FACE/OFF) replacing sagging director Brian De Palma (SNAKE EYES and MISSION TO MARS), the sequel doesn't even measure up to the mediocre standards set by the first.
Having more flat, dead spots than Death Valley, MISSION: IMPOSSIBLE 2 drags whenever Woo isn't blowing something up, switching to slow motion or staging a kickboxing extravaganza. And when, on those rare occasions, he does get the action in gear, he comes up with only a few ideas, which he uses ad nauseam. Like in FACE/OFF, his characters wear false faces. This is a cute idea that Woo and writer Robert Towne, who co-wrote the original, abuse by having people conveniently packing a host of masks for the right occasion. As soon as a character starts acting strange, you can be sure that he will shortly rip his fake face off.
Again starring Tom Cruise as IMF(Impossible Mission Force) agent Ethan Hunt, the movie certainly hopes to bank on his star power to make megabucks. Some of the money the studio spent for him and the expensive stunts might have been better saved until the script was worth shooting. And with such a paucity of ideas, why was the movie allowed to expand into over two hours?
An underutilized Ving Rhames returns as Luther Stickell, Ethan's beefy computer geek. As Ethan's romantic interest, a fetchingly beautiful Thandie Newton (BESIEGED) plays thief and IMF recruit, Nyah Nordoff-Hall. With mesmerizing eyes that penetrate like lasers and flowing jet-black hair, Nyah is undeniably gorgeous, but she isn't a worthy action companion for Ethan.
The plot involves a stolen substance whose purpose is unknown to the thief, played by the numbers by Dougray Scott. This parallels the uncertainty of director Woo over what to do with the murky plot, which he turns into James Bond-lite. The mysterious matter turns out to be a powerful virus -- no, not a computer one -- and a corresponding anti-virus. Knowing this alone makes it easy to predict a key "twist" late in the story. Don't hold your breath for any scene as imaginative as the computer room break-in from the original, since there aren't any.
The leaden dialog ("I confess. I, John C. McCloy, am in business to make money.") only makes the movie's long, slow sections more difficult to sit through. You feel like yelling at the screen for them to blow up something, which inevitably picks up the pace for a while.
A few nice moments does not a movie make. Even if Woo demonstrates, on occasion, his gift for setting up vibrant action sequences, this isn't enough to forgive him for wasting our time through most of the movie. Almost all of the picture's best footage occurs in the last 15 minutes, so Woo does send off his audiences with a big adrenaline rush. The question is whether it was worth the one and three quarter hour wait. I, for one, expect more than a 15 minute short from a big-budget action picture. Other viewers may feel similarly cheated.
MISSION: IMPOSSIBLE 2 runs a long 2:06. It is rated PG-13 for action violence and some sexuality and would be acceptable for kids around 10 and up.
My son Jeffrey, age 11, gave it *** 1/2 and was very positive on the film, the plot and the stars. He liked it a lot better than the original, which we watched on DVD last week, since he thought that the sequel had more action. He particularly liked the big motorcycle chase.
Email<EMAIL_ADDRESS>Web: http://www.InternetReviews.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


| | |
- clusterbacteria(exp, minreads=0, uselog=True)
- cluster bacteria in an experiment according to similar behavior
input:
exp : Experiment
minreads : int
the minimal number of reads to keep before clustering (to make faster)
uselog : bool
True to log transform reads for clustering (before normalizing), false to use full reads
output:
newexp : Experiment
the filtered and clustered experiment
- clustersamples(exp, minreads=0)
- cluster samples in an experiment according to similar behavior
input:
exp :Experiment
minreads : int
the minimal original number of reads per sample to keep it
output:
newexp : Experiment
the filtered and clustered experiment
- sortbacteria(exp, inplace=False, logit=True)
- sort bacteria according to taxonomy (alphabetically)
input:
exp : experiment
the experiment to sort
inplace : bool
True to sort in place (replace current experiment), False to create a new experiment
logit : bool
True to add to command log, False to skip (if called from other heatsequer function)
output:
newexp : experiment
The sorted experiment (by taxonomy name)
- sortbycentermass(expdat, field=False, numeric=True, uselog=True)
- sort bacteria in the experiment according to a 1d gradient by calculating the center of mass
input:
expdat
field : string
the name of the field to sort by or False to skip sorting
numeric : bool
True if the sort field is numeric (ignored if no sort field)
uselog : bool
True to log transform the data before mass center calculation
output:
newexp - the experiment with sorted bacteria
- sortbyfreq(expdat, field=False, value=False, exact=False, exclude=False, logscale=True, useabs=False)
- sort bacteria in experiment according to frequency
sorting is performed based on a subset of samples (field/val/exact) and then
all the experiment is sorted according to them
input:
expdat : Experiment
field : string
name of the field to filter samples for freq. sorting or False for all samples
value : string
value of samples to use for the freq. sorting
exact : bool
is the value exact or partial string
exclude : bool
True to sort on all samples except the field/value ones, False to sort only on field/value samples (default=False)
logscale : bool
True (default) to use log2 transform for frequencies before mean and sorting, False to use original values
useabs : bool
True to sort by absolute value of freq, False (default) to sort by freq
output:
newexp : Experiment
the experiment with bacteria sorted according to subgroup freq.
- sortbygroupdiff(expdat, field, val1, val2)
- sort bacteria in the experiment by the difference in the mean between the 2 groups (val1,val2 in field)
input:
expdat
field - the name of the field for the 2 groups
val1,val2 - the values for the 2 groups
output:
newexp - the experiment with sorted bacteria
- sortbysign(expdat, field=False, value='', exclude=False, exact=True, maxfval=0.2)
- sort bacteria in the experiment based on the number of positive/negative samples
(ignoring nans)
input:
expdat : Experiment
field,value,exclude,exact : name of field and value of field in order to sort based only on these samples
or field=False for all samples (default)
maxfval - the maximal f-value
output:
newexp : Experiment
sorted by difference between positive/negative
- sortbyvariance(expdat, field=False, value=False, exact=False, norm=False)
- sort bacteria by their variance
sorting is performed based on a subset of samples (field/val/exact) and then
all the experiment is sorted according to them
input:
expdat : Experiment
field : string
name of the field to filter samples for freq. sorting or False for all samples
value : string
value of samples to use for the freq. sorting
exact : bool
is the value exact or partial string
norm : bool
- False to sort by varinace, True to sort by variance/mean
output:
newexp : Experiment
the experiment with bacteria sorted according to subgroup freq.
- sortcorrelation(expdat, method='all')
- EXPERIMENTAL
sort bacteria according to highest correlation/anti-correlation
input:
expdat
method:
pres - use correlation only on samples where present in one of the two sequnences
all - use correlation on all samples (default)
output:
newexp - the experiment with bacteria sorted by correlation (each time next bacteria the most abs(corr) to the current bacteria)
- sortsamples(exp, field, numeric=False, logit=True)
- sort samples according to field
input:
exp : Experiment
field : string
name of the field to sort by
numeric : bool
True for numeric values in field, false for text
output:
newexp : Experiment
the sorted experiment
|


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IdentifierCharsRule Class
Definition at line
14
of
Keyword.cpp
Constructors
IdentifierCharsRule
()
Member Functions
void
Done
()
static
Rule
*
GetRule
()
const
void
Init
()
static
IdentifierCharsRule
&
Instance
()
static
Member Variables
int
initCount
static
std::unique_ptr<
IdentifierCharsRule
>
instance
static
std::unique_ptr<
Rule
>
rule
Constructor Details
IdentifierCharsRule Constructor
cmajor::parsing::IdentifierCharsRule::IdentifierCharsRule()
Definition at line
28
of
Keyword.cpp
Declaration at line
22
of
Keyword.cpp
Member Function Details
Done Member Function
void
cmajor::parsing::IdentifierCharsRule::Done()
static
Definition at line
50
of
Keyword.cpp
:
51
{
52
if
(
--
initCount
==
0
)
53
{
54
instance
.
reset
(
)
;
55
}
56
}
Declaration at line
18
of
Keyword.cpp
Called by:
cmajor::parsing::KeywordDone
GetRule Member Function
Rule
* cmajor::parsing::IdentifierCharsRule::GetRule()
const
Definition at line
20
of
Keyword.cpp
:
20
{
return
rule
.
get
(
)
;
}
Called by:
Init Member Function
void
cmajor::parsing::IdentifierCharsRule::Init()
static
Definition at line
42
of
Keyword.cpp
:
43
{
44
if
(
initCount
++
==
0
)
45
{
46
instance
.
reset
(
new
IdentifierCharsRule
(
)
)
;
47
}
48
}
Declaration at line
17
of
Keyword.cpp
Called by:
cmajor::parsing::KeywordInit
Instance Member Function
IdentifierCharsRule
& cmajor::parsing::IdentifierCharsRule::Instance()
static
Definition at line
58
of
Keyword.cpp
:
59
{
60
return
*
instance
;
61
}
Declaration at line
19
of
Keyword.cpp
Called by:
index
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Ezekiel 23:48
Thus will I cause lewdness to cease out of the land, that all women may be taught not to do after your lewdness.


This program will simulate the packaging of boxes by an industrial robot.
More...
#include <iostream>
|
| bool | checkNegatives (int s_val, int m_val, int l_val, int xl_val) |
| | This function checks inputs to ensure that they are positive numbers. More...
|
| |
| bool | checkSizes (int s_size, int m_size, int l_size, int xl_size) |
| | This function checks for illegal inputs. In this case, an illegal input would be if a box can hold more parts than its larger counterpart. i.e. if a small could hold 20 parts and a large could hold 5. More...
|
| |
| int | fillBoxes (int s_boxes, int m_boxes, int l_boxes, int xl_boxes, int s_size, int m_size, int l_size, int xl_size, int total_vals) |
| | This function performs the calculations needed to represent the boxes being filled. The total sum is decremented as each box is filled. More...
|
| |
| int | getBoxNums () |
| | Obtain the parts to be packed, box numbers, and box sizes from the user. Call checkNegative and checkSizes to check the inputs. Call fillBoxes to begin the filling process. More...
|
| |
| int | main () |
| | Call getBoxNums to begin the program. Print out the parts remaining at the end. More...
|
| |
This program will simulate the packaging of boxes by an industrial robot.
- Author
- Nicholas Novak (nnova.nosp@m.k<EMAIL_ADDRESS>- Version
- 0.4
- Date
- 2021-10-04
- Copyright
- Copyright (c) 2021
◆ checkNegatives()
| bool checkNegatives |
( |
int |
s_val, |
|
|
int |
m_val, |
|
|
int |
l_val, |
|
|
int |
xl_val |
|
) |
| |
This function checks inputs to ensure that they are positive numbers.
- Parameters
-
| s_val | the small box value |
| m_val | the medium box value |
| l_val | the large box value |
| xl_val | the xlarge box value |
- Returns
- true returned if there is a negative value
-
false returned as default or if no negative values are found
◆ checkSizes()
| bool checkSizes |
( |
int |
s_size, |
|
|
int |
m_size, |
|
|
int |
l_size, |
|
|
int |
xl_size |
|
) |
| |
This function checks for illegal inputs. In this case, an illegal input would be if a box can hold more parts than its larger counterpart. i.e. if a small could hold 20 parts and a large could hold 5.
- Parameters
-
| s_size | the size of the small box |
| m_size | the size of the medium box |
| l_size | the size of the large box |
| xl_size | the size of the xlarge box |
- Returns
- true returned if an illegal entry is detected
-
false returned by default or if no illegal entries are detected
◆ fillBoxes()
| int fillBoxes |
( |
int |
s_boxes, |
|
|
int |
m_boxes, |
|
|
int |
l_boxes, |
|
|
int |
xl_boxes, |
|
|
int |
s_size, |
|
|
int |
m_size, |
|
|
int |
l_size, |
|
|
int |
xl_size, |
|
|
int |
total_vals |
|
) |
| |
This function performs the calculations needed to represent the boxes being filled. The total sum is decremented as each box is filled.
- Parameters
-
| s_boxes | the amount of small boxes |
| m_boxes | the amount of medium boxes |
| l_boxes | the amount of large boxes |
| xl_boxes | the amount of xlarge boxes |
| s_size | the size of small boxes |
| m_size | the size of medium boxes |
| l_size | the size of large boxes |
| xl_size | the size of xlarge boxes |
| total_vals | the total amount of parts to be packaged |
- Returns
- int the remaining parts are returned
◆ getBoxNums()
Obtain the parts to be packed, box numbers, and box sizes from the user. Call checkNegative and checkSizes to check the inputs. Call fillBoxes to begin the filling process.
- Returns
- int return the remaining parts for printing in the main statement.
◆ main()
Call getBoxNums to begin the program. Print out the parts remaining at the end.
- Returns
- int 0


Creating, maintaining and supporting RGraph is my full time job, please
consider making a donation. Thanks.
Demos of charts (local)
Demos of some of the various charts and features provided by RGraph (for these to work properly you
must extract the zip file to your computer).
Go to the demos (local) »
Demos of charts (online)
The same demos as above are also available on rgraph.net. Due to browser security
the AJAX demos will not work locally
so you can see these if you go online.
Go to the demos (online) »
Other pages on rgraph.net
-
Home page
The RGraph homepage on www.rgraph.net
-
SVG charts
-
Canvas charts
-
Examples
Examples of the types of charts that are supported by RGraph.
-
Documentation
Documentation for RGraph
-
HOWTO guides
Guides for doing specific tasks with RGraph.
© Copyright RGraph Group 2008


My Awesome StoryMap from HILT!
If you are not redirected automatically, follow this
link to example
.


We have a lot of potentially large videos and images. We recommend connecting your device to WI-FI to avoid data drainage.


Rocker Patti Smith, photographer Lynn Goldsmith collaborate on 'Before Easter After'
by Sandy KenyonNEW YORK (WABC) -- A new book of imagery and poetry celebrates the collaboration of two women who have been friends for more than 40 years.
Musician Patti Smith and her pal, photographer Lynn Goldsmith, worked together on "Before Easter After" using Smith's words and Goldsmith's photos of the singer -- who has rocked us for almost half a century.
Smith shared the stage with Bruce Springsteen and Bono to celebrate the 25th anniversary of the Rock and Roll Hall of Fame, and she was inducted herself a dozen years ago.
Goldsmith calls her the paragon of cool.
"Because she is," she said. "Just look at the pictures."
We met at Electric Lady Studios in the Village for a brief photo session.
"I'm from South Jersey, and people from South Jersey are just naturally cool," Smith said. "But it's not something you can aspire to. I guess you are or you're not."
Smith is a poet who became a rock star, and Goldsmith is a legendary rock photographer. Their work together is its own kind of poetry.
"She wants the best of you to be magnified," Smith said.
And this work is a prophecy fulfilled, because Smith once wrote in a poem, "There will be nothing we cannot image and therefore accomplish."
Their successful collaboration comes down to mutual trust.
"Not only because she's open to the way I am with my glowing aspects, but also my flaws," Smith said. "And she's going to find the best light for them."
The best of their work in the 1970s is collected in the new book, which evokes - to borrow more of Smith's words - "a palace of memory."
"'Before Easter After' is a book that will transport you into a certain period of time," Goldsmith said. "And those years I think not just in New York, but everywhere, were rather special."
Smith became known as "The High Priestess of Punk," a style of music she once described as "the freedom to be who you are."
It's a vibe these women, who are both in their 70s now, have never abandoned.
Smith says Goldsmith takes her out of her comfort zone, and Goldsmith said Smith does the same thing for her.
They chose the words and images in their new book together, and the result is a meeting of two minds -- as vibrant as when they first wandered the streets of the city together four decades ago.


CHEAP: This Echo Dot and LIFX smart bulb are only $35 — become smart, HOME!
by Ivan MehtaWelcome to CHEAP, our series about things that are good, but most of all, cheap. CHEAP!
As a kid, I watched a lot of The Jetsons and was fascinated by how they could control their high-tech homes with a press of a button or by simple voice commands.
Thankfully, because of smartphones, AI assistants, and IoT devices, we can now easily do that as well. That’s why if you’re wondering about getting started on the smart home journey, I have the perfect deal for you.
The Amazon Echo Dot (third gen) bundled with LIFX smart bulb bundle is selling for just $35, instead of $70. That’s a steal deal.
The third-gen smart speaker can be a great bedside buddy with timely reminders and alarms. You can also get your news in the morning, or play your favorite morning playlist when you wake up.
The bundle also contains a LIFX mini smart bulb that directly connects to your Wi-Fi. So you can control it with your voice through Alexa, and your phone as well.
In case you don’t want the LIFX bulb, you can still get the Echo Dot for just $30, that’s $20 off its original price. But, you shouldn’t miss out on this deal, where you can get a smart bulb for just an additional $5.
This post includes affiliate links to products that you can buy online. If you purchase them through our links, we get a small cut of the revenue.
For more gear, gadget, and hardware news and reviews, follow Plugged on Twitter and Flipboard.
Price $ 35 ProductEcho dot bundle by Amazon
Buy now


Each "page" describes some structure you can use to facilitate jamming and improvisation with ideas for how to augment and “conduct” the jam. Specifically, each should include:
The bible is a collection of brief interviews with musicians about their favorite way to get started improvising or jamming. Musicians have all different background, levels of experience, levels of details of answers. Tips and tricks. Recorded examples/demos interspersed.


LambdaPiPlus
Try!
About
Syntax
Prelude
--A proof that x >= y is a a natural z, --paired with a proof that z + y = x let geq = (\ x y -> exists (z :: Nat) . Eq Nat x (plus y z) ) :: Nat -> Nat -> * --Any Natural number is geq to 0 let geq0 = (\n -> (n , p0PlusNisN _) ) :: forall (n :: Nat ) . geq n 0 --A proof that there is a number greater than any given natural number let natsAreInf = (\n -> (Succ n, (0, symm _ (plus (Succ n) 0) (Succ n) (pNPlus0isN _)) ) ) :: forall (n :: Nat) . exists (m :: Nat) . gt m n
TypeCheck Program


Please make sure that emails from<EMAIL_ADDRESS>are not in spam.
Thanks for using mail.keeplink.in ! :)
Also, please check another tool I built. A simple, fast and feature rich URL shortening service called keeplink.in.


Landing Page
Special Projects
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.
TAYLOR JOHNSTON
05.25.17
Two years ago, a battle occurred between Derrius Vick and JD Sprague. A year ago, Quinton Maxwell took on with Greg Windham.
Those have been Ohio’s two quarterback battles of the past two years. And this year, Maxwell, the presumptive starting quarterback, does not have his job fully secure.
Maxwell will battle with Nathan Rourke, a rising junior quarterback who transferred from Fort Scott Community College in Kansas. A Canada native, Rourke began to show why he could compete for the starting job during spring practice.
Matt Starkey | FILE
Quinton Maxwell (7) throws the ball against Toledo at Glass Field October 27, 2016.
Rourke began the spring season learning the Bobcats’ offense, but as the season wore on, he started to make improvements. His reads became sharper, his throws more precise.
Though Rourke began to improve, he still showed a flaw near the end of spring practice. When throwing across the middle, Rourke seemingly would overlook a safety or other defensive back across the secondary, and the safety would often intercept his passes. It’s important to remember, he’s still new to the offense.
Rourke still has time in fall camp to make improvements, but that means the other half of the battle, Maxwell, does too.
Last season, Maxwell took the starting job away from former quarterback Greg Windham. Windham’s production began to dip during the middle of the season, and Maxwell earned the first start of his collegiate career last October against Kent State University.
Maxwell threw for 1,247 yards and eight touchdowns during his redshirt freshman season.
Aside from those two quarterbacks both having legitimate shots at being the starter, Ohio likes to have two quarterbacks ready throughout the season. That’s not unusual; it’s simply about being prepared.
If one quarterback goes down because of injury, then the next one can enter the starting role seamlessly.
But perhaps Ohio doesn’t mind having a minor quarterback battle for a reason other than being prepared: The Bobcats simply love the competition.
Maxwell is the favorite to win the job, and with his strong work ethic, he probably will. But Rourke will be waiting to rise, because for Ohio, a quarterback always is.
Back to The Orientation GuideLanding Page
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.


A Crown Land File Number is a unique seven digit number, regionally based, to identify an application or tenure on Crown land. For example, a Crown Land file number might identify a specific Aquaculture lease or a set of Right of Way tenures.
This is an identifier unique to each application. It represents a specific instance of a particular activity in a particular parcel of Crown land. For example, two applications may share the same Crown Land File Number if they are the same activity in the same parcel of land, but will have unique Disposition Transaction IDs.
Don't have either of these numbers?


Dictionary of strings; optional
A dictionary of strings that will be added to the exec_properties
of a platform selected for this target. See exec_properties
of the platform rule.
If a key is present in both the platform and target-level properties, the value will be taken from the target.


You can reach me through various ways
By Phone
665456XXXX
By Email
<EMAIL_ADDRESS>or send a raven XD
Back to index


Gardaí seeking assistance in tracing whereabouts of 72-year-old missing from Listowel
by By Digital Desk staffGardaí are seeking the public's help in tracing the whereabouts of Donal Finucane who was reported missing from Listowel town, Co. Kerry on Tuesday, November 12, 2019.
The 72-year-old is described as being approximately 5'10'' in height, of medium build, with short grey hair and wears glasses.
He was wearing a grey jumper, blue jeans and dark slip-on shoes when he was last seen. Donal also walks with a slight limp.
Anyone with information on his whereabouts are asked to contact Gardaí in Listowel on 068 50820 or the Garda Confidential Line on 1800 666 111 or any Garda Station.
READ MORE
'We have nowhere to go' - Deansrath Family Centre shut after truck rams into front door


{% load staticfiles %}
Reserved can handle your music venues, events, seating or rooms. Combined with everything to run your booking system.
Reserved has been designed from the ground up with two simple concepts. Cleverly simply interface with customisable everything.
Reserved has everything you need to handle any booking. Create your clients, schedule and payment system and yoour done! Reserved automatically does everything else; emails, reports, processing, integration.


Voler - French for "to steal" is changing the way college students buy stuff.
Voler gives you access to hundreds of items to rent on a daily basis. Boosted boards, birds, speaker systems - you name it, we have it.
Search through our database of hundreds of items around you. Whether you want speakers for your next rager, a bike for the day, or even a pan for to bake your favorite brownies, Voler delivers.
Your item is yours for the day!
Don't worry - Voler covers repair cost up to $20 per item with selected insurance policies. Renters can be ensured their items will not be stolen or damaged per warranty.


This guide discusses the Corona system
and os
functions. Collectively, these are used to return system information and control system functions — get device information, enable multitouch, control the idle time, accelerometer, GPS, etc. — and deal with system time, date, and other OS-related information.
system.getInfo()
|
reference
|
Returns information about the system on which the application is running.
|
system.openURL()
|
reference
|
Opens a web page in the device browser, creates an email, or calls a phone number.
|
system.pathForFile()
|
reference
|
Generates an absolute path using system-defined directories as the base. See Reading and Writing Files for more information.
|
system.getPreference()
|
reference
|
Returns a system preference value (ui or locale ) as a string.
|
system.getTimer()
|
reference
|
Returns the time in milliseconds since application launch.
|
system.orientation
|
reference
|
Returns a string identifying the orientation of the device.
|
system.setTapDelay()
|
reference
|
Sets the delay time between when a tap is detected and when the tap event is delivered.
|
system.activate()
|
reference
|
Activates a system-level feature such as multitouch.
|
system.deactivate()
|
reference
|
Deactivates a system-level feature activated by system.activate() .
|
system.scheduleNotification()
|
reference
|
Schedules a local notification event to be delivered at a future time.
|
system.cancelNotification()
|
reference
|
Removes the specified notification from the scheduler, status bar, or notification center.
|
system.setIdleTimer()
|
reference
|
Controls whether the system idle timer is enabled (automatic screen dim and sleep).
|
system.getIdleTimer()
|
reference
|
Determines whether the system idle timer is enabled.
|
system.setLocationAccuracy()
|
reference
|
Sets the desired accuracy of location (GPS) events to distance in meters.
|
system.setLocationThreshold()
|
reference
|
Sets the distance in meters between each location (GPS) event.
|
system.setAccelerometerInterval()
|
reference
|
Sets the frequency of accelerometer events.
|
system.setGyroscopeInterval()
|
reference
|
Sets the frequency of gyroscope events in Hertz.
|
system.hasEventSource()
|
reference
|
Returns whether the system delivers events corresponding to eventName .
|
system.vibrate()
|
reference
|
Vibrates the phone. On the Corona Simulator, this triggers a system beep.
|
os.clock()
|
reference
|
Returns an approximation of the amount in seconds of CPU time used by the program.
|
os.date()
|
reference
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Returns a formatted string or a table containing date and time.
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os.time()
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Returns the current time in seconds from 1970, or the date and time specified by a table.
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os.difftime()
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Returns the number of seconds from time "t1" to time "t2".
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os.execute()
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reference
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Passes a string to the OS for execution and returns a system-dependent status code.
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os.exit()
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reference
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Calls the C function exit() to terminate the host program.
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os.remove()
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Deletes a file or directory in the documents or temporary directory.
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os.rename()
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Renames a file or directory in the documents or temporary directory.
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Autoregressive model change¶
Description¶
Let \(0<t_1<t_2<\dots<n\) be unknown change points indexes. Consider the following piecewise autoregressive model
where \(j>1\) is the segment number, \(z_t=[y_{t-1}, y_{t-2},\dots,y_{t-p}]\) is the lag vector,and \(p>0\) is the order of the process.
The least-squares estimates of the break dates is obtained by minimiming the sum of squared residuals [ARBai00]. Formally, the associated cost function on an interval \(I\) is
\[c(y_{I}) = \min_{\delta\in\mathbb{R}^p} \sum_{t\in I} \|y_t - \delta' z_t \|_2^2\]
Usage¶
Start with the usual imports and create a signal with piecewise linear trends.
from itertools import cycle
import numpy as np
import matplotlib.pylab as plt
import ruptures as rpt
# creation of data
n = 2000
n_bkps, sigma = 4, 0.5 # number of change points, noise standart deviation
bkps = [400, 1000, 1300, 1800, n]
f1 = np.array([0.075, 0.1])
f2 = np.array([0.1, 0.125])
freqs = np.zeros((n, 2))
for sub, val in zip(np.split(freqs, bkps[:-1]), cycle([f1, f2])):
sub += val
tt = np.arange(n)
signal = np.sum((np.sin(2*np.pi*tt*f) for f in freqs.T))
signal += np.random.normal(scale=sigma, size=signal.shape)
# display signal
rpt.show.display(signal, bkps, figsize=(10, 6))
plt.show()
Then create a CostAR
instance and print the cost of the sub-signal
signal[50:150]
.
The autoregressive order can be specified through the keyword 'order'
.
c = rpt.costs.CostAR(order=10).fit(signal)
print(c.error(50, 150))
You can also compute the sum of costs for a given list of change points.
print(c.sum_of_costs(bkps))
print(c.sum_of_costs([10, 100, 200, 250, n]))
In order to use this cost class in a change point detection algorithm (inheriting from
BaseEstimator
), either pass a CostAR
instance (through the argument
'custom_cost'
) or set model="ar"
.
Additional parameters can be passed to the cost instance through the keyword 'params'
.
c = rpt.costs.CostAR(order=10); algo = rpt.Dynp(custom_cost=c)
# is equivalent to
algo = rpt.Dynp(model="ar", params={"order": 10})
Code explanation¶
-
class
ruptures.costs.
CostAR
(order=4)[source]¶ Least-squares estimate for changes in autoregressive coefficients.
References
- ARBai00
J. Bai. Vector autoregressive models with structural changes in regression coefficients and in variance–covariance matrices. Annals of Economics and Finance, 1:303–339, 2000.


Brevitas¶
Brevitas is a Pytorch library for training-aware quantization.
Brevitas is currently under active development and to be considered in alpha stage. APIs might and probably will change. Documentation, examples, and pretrained models will be progressively released.
Introduction¶
Brevitas implements a set of building blocks to model a reduced precision hardware data-path at training time. While partially biased towards modelling dataflow-style, very low-precision implementations, the building blocks can be parametrized and assembled together to target all sorts of reduced precision hardware.
The implementations tries to adhere to the following design principles:
Idiomatic Pytorch, when possible.
Modularity first, at the cost of some verbosity.
Easily extendible.
Target audience¶
Brevitas is mainly targeted at researchers and practicioners in the fields of training for reduced precision inference.
The implementation is quite rich in options and allows for very fine grained control over the trained model. However, compared to other software solutions in this space, the burden of correctly modelling the target data-path is currently placed on the user.
Installation¶
Installing from master¶
You can install the latest master directly from GitHub:
pip install git+https://github.com/Xilinx/brevitas.git
Dev install¶
Alternatively, you can install a dev copy straight from the cloned repo:
git clone https://github.com/Xilinx/brevitas.git
cd brevitas
pip install -e .
Features¶
Brevitas’ features are organized along the following (mostly) orthogonal axes:
Quantization type: binary, ternary, or uniform integer quantization.
Target tensor: weights, activations or accumulators.
Scaling: support for various shapes, learning strategies and constraints.
Precision: constant or learned bit-width.
Cost: model the hardware cost at training-time.
Supported Layers¶
The following layers and operations are supported out-of-the-box:
QuantLinear
QuantConv2d
QuantReLU, QuantHardTanh, QuantTanh, QuantSigmoid
QuantAvgPool2d
QuantBatchNorm2d
Element-wise add, concat
Saturating integer accumulator
Additional layers can be easily supported using a combination of pre-existing modules.
Getting started¶
Here’s how a simple quantized LeNet might look like, starting from a ReLU6 for activations and using default settings for scaling:
from torch.nn import Module
import torch.nn.functional as F
import brevitas.nn as qnn
from brevitas.core.quant import QuantType
class QuantLeNet(Module):
def __init__(self):
super(QuantLeNet, self).__init__()
self.conv1 = qnn.QuantConv2d(3, 6, 5,
weight_quant_type=QuantType.INT,
weight_bit_width=8)
self.relu1 = qnn.QuantReLU(quant_type=QuantType.INT, bit_width=8, max_val=6)
self.conv2 = qnn.QuantConv2d(6, 16, 5,
weight_quant_type=QuantType.INT,
weight_bit_width=8)
self.relu2 = qnn.QuantReLU(quant_type=QuantType.INT, bit_width=8, max_val=6)
self.fc1 = qnn.QuantLinear(16*5*5, 120, bias=True,
weight_quant_type=QuantType.INT,
weight_bit_width=8)
self.relu3 = qnn.QuantReLU(quant_type=QuantType.INT, bit_width=8, max_val=6)
self.fc2 = qnn.QuantLinear(120, 84, bias=True,
weight_quant_type=QuantType.INT,
weight_bit_width=8)
self.relu4 = qnn.QuantReLU(quant_type=QuantType.INT, bit_width=8, max_val=6)
self.fc3 = qnn.QuantLinear(84, 10, bias=False,
weight_quant_type=QuantType.INT,
weight_bit_width=8)
def forward(self, x):
out = self.relu1(self.conv1(x))
out = F.max_pool2d(out, 2)
out = self.relu2(self.conv2(out))
out = F.max_pool2d(out, 2)
out = out.view(out.size(0), -1)
out = self.relu3(self.fc1(out))
out = self.relu4(self.fc2(out))
out = self.fc3(out)
return out
Scaling¶
Brevitas supports multiple alternative options for scaling factors.
With respect to the number of dimensions:
Per tensor or per (output) channel scaling, for both weights and activations. For activations, per channel scaling usually makes sense only before a depth-wise separable convolution.
With respect to how they are learned:
As a standalone Pytorch Parameter, initialized from statistics (for weights) or from user-defined values (for activations).
as a statistical function of the full-precision version of the target tensor, possibly along with affine coefficients. Various function as supported, such as max(abs(x)), and more can be easily added. For activations, learning of this kind is done in the style of batch-norm, i.e. statistics are collected at training-time to use them at inference time. In all cases, gradients are allowed to backprop through the defined function for best accuracy results.
Possibly shared between different layers that have to scaled equally:
By sharing the underlying Parameter, when the scale factor is a learned parameter.
By applying the statistical function to a concatenation of the different set of weights involved, when the scale factors are learned as a function of the weights.
Possibly constrained to:
A standard floating point number, i.e. no restrictions.
A floating point power-of-two exponent, i.e. a floating point number learned in log domain.
An integer power-of-two value exponent, i.e. rounding the above fp log version to the next integer.
Precision¶
Brevitas supports both constant and learned precision.
In an quantization flow leveraging integer uniform quantization, the bit-width (together with the sign) determines the min and max integer values used for scaling and clamping. Assuming that an integer bit-width can be modelled as the rounded copy of an underlying floating point value (with a straight-through estimator in the backward pass), all the operations involving bit-width are differentiable. As such, the bit-width can a learned parameter, without resorting to more complicated approaches leveraging AutoML or Gumbel-Softmax categorical variables.
For weights and activation: Learned bit-width is equal to base_bit_width + round_ste(abs(offset)), where base_bit_width is a constant representing the minimum bit-width to converge to (required to be >= 2) and offset is a learned parameter.
For modelling an accumulator saturate to a learned bit width: The bit-width of the accumulator (computed by upstream layers) is taken as an input, and a learned negative offset is subtracted from it. In order to avoid conflicting with regularization losses that promotes small magnitude of learned parameters, such as weight-decay, the offset is implemented with the learned parameter at the denominator, so that smaller values results in reduced overall bit-width.
Additional requirements or relaxations can be put on the resulting bit-width:
Avoid the rounding step, and learn a floating point bit-width first (with the goal of retrained afterwards).
Constrain the bit width to power-of-two values, e.g. 2, 4, 8.
Share the learned bit-width between two or more layers, in order to e.g. keep the precision of a Conv2d layer and the precision of its input the same.
Code organization¶
The implementation in organized in three different levels, each corresponding to a package:
core: contains the implementation of all Brevitas’ quantization routines, leveraging the JIT as much as possible.
proxy: combines the routines implemented in the core in way that makes sense for different target tensors, namely weights, activations and accumulators.
nn: wraps the different proxies in a user-facing API, which can be used as a drop-in replacement for torch.nn modules.
Additionally, the following packages are present:
function: implements various support routines.
cost: exposes different loss functions for modelling the hardware cost at training-time or for regularization purposes.
A note on the implementation¶
Brevitas operates (possibly but not strictly) on a QuantTensor, currently implemented as a NamedTuple because of a lack of support for custom Tensor sub-classes in Pytorch. This might change in the future.
A QuantTensor propagates the following information:
quant_tensor: the quantized tensor, in dequantized representation (i.e. floating-point order of magnitude).
scale_factor: the scale factor implicit in quant_tensor.
bit_width: the precision of quant_tensor in bits.
Propagating scale factors and bit-width along the forward pass allows to model and operate on accumulators, whose bit-width and scale factor depends on the layers contributing to them. However, propagating a tuple of values in a forward() call breaks compatibility with certain modules like nn.Sequential, which assumes 1 input and 1 output. As such, operating on a QuantTensor is optional.
Author¶
Alessandro Pappalardo @ Xilinx Research Labs.


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ALTABAX - retapamulin ointment
Physicians Total Care, Inc.
ALTABAX is indicated for use in adults and pediatric patients aged 9 months and older for the topical treatment of impetigo (up to 100 cm2 in total area in adults or 2% total body surface area in pediatric patients aged 9 months or older) due to Staphylococcus aureus (methicillin-susceptible isolates only) or Streptococcus pyogenes[see Clinical Studies (14)].
To reduce the development of drug-resistant bacteria and maintain the effectiveness of ALTABAX and other antibacterial drugs, ALTABAX should
A thin layer of ALTABAX should be applied to the affected area (up to 100 cm2 in total area in adults or 2% total body surface area in pediatric patients aged 9 months or older) twice daily for 5 days. The treated area may be covered with a sterile bandage or gauze dressing if desired [see Patient Counseling Information (17)].
In the event of sensitization or severe local irritation from ALTABAX, usage should be discontinued, the ointment wiped off, and appropriate alternative therapy for the infection instituted [see Patient Counseling Information (17)].
5.2 Not for Systemic or Mucosal UseALTABAX is not intended for ingestion or for oral, intranasal, ophthalmic, or intravaginal use. ALTABAX has not been evaluated for use on mucosal surfaces [see Patient Counseling Information (17)].
5.3 Potential for Microbial OvergrowthThe use of antibiotics may promote the selection of nonsusceptible organisms. Should superinfection occur during therapy, appropriate measures should be taken.
Prescribing ALTABAX in the absence of a proven or strongly suspected bacterial infection is unlikely to provide benefit to the patient and increases the risk of the development of drug-resistant bacteria.
The safety profile of ALTABAX was assessed in 2,115 adult and pediatric patients ≥9 months who used at least one dose from a 5-day, twice a day regimen of retapamulin ointment. Control groups included 819 adult and pediatric patients who used at least one dose of the active control (oral cephalexin), 172 patients who used an active topical comparator (not available in the US), and 71 patients who used placebo.
Adverse events rated by investigators as drug-related occurred in 5.5% (116/2,115) of patients treated with retapamulin ointment, 6.6% (54/819) of patients receiving cephalexin, and 2.8% (2/71) of patients receiving placebo. The most common drug-related adverse events (≥1% of patients) were application site irritation (1.4%) in the retapamulin group, diarrhea (1.7%) in the cephalexin group, and application site pruritus (1.4%) and application site paresthesia (1.4%) in the placebo group.
Because clinical studies are conducted under varying conditions, adverse reaction rates observed in the clinical studies of a drug cannot be directly compared to rates in the clinical studies of another drug and may not reflect the rates observed in practice. The adverse reaction information from the clinical studies does, however, provide a basis for identifying the adverse events that appear to be related to drug use and for approximating rates.
AdultsThe adverse events, regardless of attribution, reported in at least 1% of adults (18 years of age and older) who received ALTABAX are listed in Table 1.
| Adverse Event |
ALTABAX N = 1,527 % |
Cephalexin N = 698 % |
| Headache | 2.0 | 2.0 |
| Application site irritation | 1.6 | Less than 1.0 |
| Diarrhea | 1.4 | 2.3 |
| Nausea | 1.2 | 1.9 |
| Nasopharyngitis | 1.2 | Less than 1.0 |
| Creatinine phosphokinase increased | Less than 1.0 | 1.0 |
The adverse events, regardless of attribution, reported in at least 1% of pediatric patients aged 9 months to 17 years who received ALTABAX are listed in Table 2.
| Adverse Event |
ALTABAX N = 588 % |
Cephalexin N = 121 % |
Placebo N = 64 % |
| Application site pruritus | 1.9 | 0 | 0 |
| Diarrhea | 1.7 | 5.0 | 0 |
| Nasopharyngitis | 1.5 | 1.7 | 0 |
| Pruritus | 1.5 | 1.0 | 1.6 |
| Eczema | 1.0 | 0 | 0 |
| Headache | 1.2 | 1.7 | 0 |
| Pyrexia | 1.2 | Less than 1.0 | 1.6 |
Application site pain, erythema, and contact dermatitis were reported in less than 1% of patients in clinical studies.
Co-administration of oral ketoconazole 200 mg twice daily increased retapamulin geometric mean AUC(0-24) and Cmax by 81% after topical application of retapamulin ointment, 1% on the abraded skin of healthy adult males. Due to low systemic exposure to retapamulin following topical application in patients, dosage adjustments for retapamulin are unnecessary when co-administered with CYP3A4 inhibitors, such as ketoconazole. Based on in vitro P450 inhibition studies and the low systemic exposure observed following topical application of ALTABAX, retapamulin is unlikely to affect the metabolism of other P450 substrates.
The effect of concurrent application of ALTABAX and other topical products to the same area of skin has not been studied.
Pregnancy Category B. Effects on embryo-fetal development were assessed in pregnant rats given 50, 150, or 450 mg/kg/day by oral gavage on days 6 to 17 postcoitus. Maternal toxicity (decreased body weight gain and food consumption) and developmental toxicity (decreased fetal body weight and delayed skeletal ossification) were evident at doses ≥150 mg/kg/day. There were no treatment-related malformations observed in fetal rats.
Retapamulin was given as a continuous intravenous infusion to pregnant rabbits at dosages of 2.4, 7.2, or 24 mg/kg/day from day 7 to 19 of gestation. Maternal toxicity (decreased body weight gain, food consumption, and abortions) was demonstrated at dosages ≥7.2 mg/kg/day (8-fold the estimated maximum achievable human exposure, based on AUC, at 7.2 mg/kg/day). There was no treatment-related effect on embryo-fetal development.
There are no adequate and well-controlled studies in pregnant women. Because animal reproduction studies are not always predictive of human response, ALTABAX should be used in pregnancy only when the potential benefits outweigh the potential risk.
8.3 Nursing MothersIt is not known whether retapamulin is excreted in human milk. Because many drugs are excreted in human milk, caution should be exercised when ALTABAX is administered to a nursing woman. The safe use of retapamulin during breast-feeding has not been established.
8.4 Pediatric UseThe safety and effectiveness of ALTABAX in the treatment of impetigo have been established in pediatric patients 9 months to 17 years of age. Use of ALTABAX in pediatric patients is supported by evidence from adequate and well-controlled studies of ALTABAX in which 588 pediatric patients received at least one dose of retapamulin ointment, 1% [see Adverse Reactions (6), Clinical Studies (14)]. The magnitude of efficacy and the safety profile of ALTABAX in pediatric patients 9 months and older were similar to those in adults.
The safety and effectiveness of ALTABAX in pediatric patients younger than 9 months of age have not been established.
8.5 Geriatric UseOf the total number of patients in the adequate and well-controlled studies of ALTABAX, 234 patients were 65 years of age and older, of whom 114 patients were 75 years of age and older. No overall differences in effectiveness or safety were observed between these patients and younger adult patients.
Overdosage with ALTABAX has not been reported. Any signs or symptoms of overdose, either topically or by accidental ingestion, should be treated symptomatically consistent with good clinical practice.
There is no known antidote for overdoses of ALTABAX.
ALTABAX contains retapamulin, a semisynthetic pleuromutilin antibiotic. The chemical name of retapamulin is acetic acid, [[(3-exo)-8-methyl-8-azabicyclo[3.2.1]oct-3-yl]thio]-, (3aS,4R,5S,6S,8R,9R,9aR,10R)-6-ethenyldecahydro-5-hydroxy-4,6,9,10-tetramethyl-1-oxo-3a,9-propano-3aH-cyclopentacycloocten-8-yl ester. Retapamulin, a white to pale-yellow crystalline solid, has a molecular formula of C30H47NO4S, and a molecular weight of 517.78. The chemical structure is:
Each gram of ointment for dermatological use contains 10 mg of retapamulin in white petrolatum.
ALTABAX is an antibacterial agent [see Clinical Pharmacology (12.4)].
12.2 PharmacodynamicsIn post-hoc analyses of manually over-read 12-lead ECGs from healthy subjects (N = 103), no significant effects on QT/QTc intervals were observed after topical application of retapamulin ointment on intact and abraded skin. Due to the low systemic exposure to retapamulin with topical application, QT prolongation in patients is unlikely [see Clinical Pharmacology (12.3)].
12.3 PharmacokineticsAbsorptionIn a study of healthy adult subjects, retapamulin ointment, 1% was applied once daily to intact skin (800 cm2 surface area) and to abraded skin (200 cm2 surface area) under occlusion for up to 7 days. Systemic exposure following topical application of retapamulin through intact and abraded skin was low. Three percent of blood samples obtained on Day 1 after topical application to intact skin had measurable retapamulin concentrations (lower limit of quantitation 0.5 ng/mL); thus Cmax values on Day 1 could not be determined. Eighty-two percent of blood samples obtained on Day 7 after topical application to intact skin and 97% and 100% of blood samples obtained after topical application to abraded skin on Days 1 and 7, respectively, had measurable retapamulin concentrations. The median Cmax value in plasma after application to 800 cm2 of intact skin was 3.5 ng/mL on Day 7 (range 1.2 to 7.8 ng/mL). The median Cmax value in plasma after application to 200 cm2 of abraded skin was 11.7 ng/mL on Day 1 (range 5.6 to 22.1 ng/mL) and 9.0 ng/mL on Day 7 (range 6.7 to 12.8 ng/mL).
Plasma samples were obtained from 380 adult patients and 136 pediatric patients (aged 2-17 years) who were receiving topical treatment with ALTABAX topically twice daily. Eleven percent had measurable retapamulin concentrations (lower limit of quantitation 0.5 ng/mL), of which the median concentration was 0.8 ng/mL. The maximum measured retapamulin concentration in adults was 10.7 ng/mL and in pediatric patients was 18.5 ng/mL.
DistributionRetapamulin is approximately 94% bound to human plasma proteins, and the protein binding is independent of concentration. The apparent volume of distribution of retapamulin has not been determined in humans.
MetabolismIn vitro studies with human hepatocytes showed that the main routes of metabolism were mono-oxygenation and di-oxygenation. In vitro studies with human liver microsomes demonstrated that retapamulin is extensively metabolized to numerous metabolites, of which the predominant routes of metabolism were mono-oxygenation and N-demethylation. The major enzyme responsible for metabolism of retapamulin in human liver microsomes was cytochrome P450 3A4 (CYP3A4).
EliminationRetapamulin elimination in humans has not been investigated due to low systemic exposure after topical application.
12.4 MicrobiologyRetapamulin is a semisynthetic derivative of the compound pleuromutilin, which is isolated through fermentation from Clitopilus passeckerianus (formerly Pleurotus passeckerianus). In vitro activity of retapamulin against isolates of Staphylococcus aureus as well as Streptococcus pyogenes has been demonstrated.
Antimicrobial Mechanism of ActionRetapamulin selectively inhibits bacterial protein synthesis by interacting at a site on the 50S subunit of the bacterial ribosome through an interaction that is different from that of other antibiotics. This binding site involves ribosomal protein L3 and is in the region of the ribosomal P site and peptidyl transferase center. By virtue of binding to this site, pleuromutilins inhibit peptidyl transfer, block P-site interactions, and prevent the normal formation of active 50S ribosomal subunits. Retapamulin is bacteriostatic against Staphylococcus aureus and Streptococcus pyogenes at the retapamulin in vitro minimum inhibitory concentration (MIC) for these organisms. At concentrations 1,000x the in vitro MIC, retapamulin is bactericidal against these same organisms. Retapamulin demonstrates no in vitrotarget-specific cross-resistance with other classes of antibiotics.
Mechanisms of Decreased Susceptibility to RetapamulinIn vitro, 2 mechanisms that cause reduced susceptibility to retapamulin have been identified, specifically, mutations in ribosomal protein L3 or the presence of an efflux mechanism. Decreased susceptibility of S. aureus to retapamulin (highest retapamulin MIC was 2 mcg/mL) develops slowly in vitro via multistep mutations in L3 after serial passage in sub-inhibitory concentrations of retapamulin. There was no apparent treatment-associated reduction in susceptibility to retapamulin in the Phase 3 clinical program. The clinical significance of these findings is not known.
OtherBased on in vitro broth microdilution susceptibility testing, no differences were observed in susceptibility of S. aureus to retapamulin whether the isolates were methicillin-resistant or methicillin-susceptible. Retapamulin susceptibility did not correlate with clinical success rates in patients with methicillin-resistant S.aureus. The reason for this is not known but may have been influenced by the presence of particular strains of S. aureus possessing certain virulence factors, such as Panton-Valentine Leukocidin (PVL). In the case of treatment failure associated with S. aureus (regardless of methicillin susceptibility), the presence of strains possessing additional virulence factors (such as PVL) should be considered.
Retapamulin has been shown to be active against the following microorganisms, both in vitro and in clinical trials [see Indications and Usage (1)].
Aerobic and Facultative Gram-Positive BacteriaStaphylococcus aureus (methicillin-susceptible isolates only)
Streptococcus pyogenes
Susceptibility TestingThe clinical microbiology laboratory should provide cumulative results of the in vitro susceptibility test results for antimicrobial drugs used in local hospitals and practice areas to the physician as periodic reports that describe the susceptibility profile of nosocomial and community-acquired pathogens. These reports should aid the physician in selecting the most effective antimicrobial.
Susceptibility Testing TechniquesDilution TechniquesQuantitative methods can be used to determine the minimum inhibitory concentration (MIC) of retapamulin that will inhibit the growth of the bacteria being tested. The MIC provides an estimate of the susceptibility of bacteria to retapamulin. The MIC should be determined using a standardized procedure.1,2 Standardized procedures are based on a dilution method (broth or agar) or equivalent with standardized inoculum concentrations and standardized concentrations of retapamulin powder.
Diffusion TechniquesQuantitative methods that require measurement of zone diameters also provide reproducible estimates of the susceptibility of bacteria to antimicrobial compounds. One such standardized procedure requires the use of standardized inoculum concentrations.2,3 This procedure uses paper disks impregnated with 2 mcg of retapamulin to test the susceptibility of microorganisms to retapamulin.
Susceptibility Test Interpretive CriteriaIn vitro susceptibility test interpretive criteria for retapamulin have not been determined for this topical antimicrobial. The relation of the in vitro MIC and/or disk diffusion susceptibility test results to clinical efficacy of retapamulin against the bacteria tested should be monitored.
Quality Control Parameters for Susceptibility TestingIn vitro susceptibility test quality control parameters were developed for retapamulin so that laboratories that test the susceptibility of bacterial isolates to retapamulin can determine if the susceptibility test is performing correctly. Standardized dilution techniques and diffusion methods require the use of laboratory control microorganisms to monitor the technical aspects of the laboratory procedures. Standard retapamulin powder should provide the following MIC and a 2 mcg retapamulin disk should produce the following zone diameters with the indicated quality control strains in Table 3.
| Microorganism | MIC Range (mcg/mL) | Disk Diffusion Zone Diameter (mm) |
| Staphylococcus aureus ATCC 29213 | 0.06-0.25 | NA |
| Staphylococcus aureus ATCC 25923 | NA | 23-30 |
| Streptococcus pneumoniae ATCC 49619 | 0.06-0.5a | 13-19b |
NA = Not applicable.
a This quality control range is applicable using cation-adjusted Mueller-Hinton broth with 2-5% lysed horse blood.
b This quality control limit is applicable using Mueller-Hinton agar with 5% sheep blood.
Long-term studies in animals to evaluate carcinogenic potential have not been conducted with retapamulin.
Retapamulin showed no genotoxicity when evaluated in vitro for gene mutation and/or chromosomal effects in the mouse lymphoma cell assay, in cultured human peripheral blood lymphocytes, or when evaluated in vivo in a rat micronucleus test.
No evidence of impaired fertility was found in male or female rats given retapamulin 50, 150, or 450 mg/kg/day orally.
ALTABAX was evaluated in a placebo-controlled study that enrolled adult and pediatric patients 9 months of age and older for treatment of impetigo up to 100 cm2 in total area (up to 10 lesions) or a total body surface area not exceeding 2%. The majority of patients enrolled (164/210, 78%) were under the age of 13. The study was a double-blind, randomized, multi-center, parallel-group comparison of the safety of ALTABAX and placebo ointment, both applied twice daily for 5 days. The study was randomized 2 ALTABAX to 1 placebo patient. Patients with underlying skin disease (e.g., preexisting eczematous dermatitis) or skin trauma, with clinical evidence of secondary infection were excluded from these studies. In addition, patients with any systemic signs and symptoms of infection (such as fever) were excluded from the study. Clinical success was defined as the absence of treated lesions, or treated lesions had become dry without crusts with or without erythema compared to baseline, or had improved (defined as a decline in the size of the affected area, number of lesions or both) such that no further antimicrobial therapy was required. The intent-to-treat clinical (ITTC) population consisted of all randomized patients who took at least 1 dose of study medication. The clinical per protocol (PPC) population included all ITTC patients who satisfied the inclusion/exclusion criteria and subsequently adhered to the protocol. The intent-to-treat bacteriological (ITTB) population consisted of all randomized patients who took at least one dose of study medication and had a pathogen identified at study entry. The bacteriological per protocol (PPB) population included all ITTB patients who satisfied the inclusion/exclusion criteria and subsequently adhered to the protocol.
The following table describes the results for clinical response at end of therapy (2 days after treatment) and follow-up (9 days after treatment), by analysis population:
| Analysis Population | ALTABAX | Placebo | Difference in Success Rates (%) | 95% CI (%) | ||
| n/N | Success Rate (%) | n/N | Success Rate (%) | |||
| End of Therapy | ||||||
| PPC | 111/124 | 89.5 | 33/62 | 53.2 | 36.3 | (22.8, 49.8) |
| ITTC | 119/139 | 85.6 | 37/71 | 52.1 | 33.5 | (20.5, 46.5) |
| PPB | 96/107 | 89.7 | 26/52 | 50.0 | 39.7 | (25.0, 54.5) |
| ITTB | 101/114 | 88.6 | 28/57 | 49.1 | 39.5 | (25.2, 53.7) |
| Follow-Up | ||||||
| PPC | 98/119 | 82.4 | 25/58 | 43.1 | 39.2 | (24.8, 53.7) |
| ITTC | 105/139 | 75.5 | 28/71 | 39.4 | 36.1 | (22.7, 49.5) |
| PPB | 86/102 | 84.3 | 18/48 | 37.5 | 46.8 | (31.4, 62.2) |
| ITTB | 91/114 | 79.8 | 19/57 | 33.3 | 46.5 | (32.2, 60.8) |
n = number with clinical success outcome, N = number in analysis population, PPC = Clinical Per Protocol Population, ITTC = Clinical Intent to Treat Population, PPB = Bacteriological Per Protocol Population, ITTB = Bacteriological Intent to Treat Population
The following table describes the clinical success at end of therapy and follow-up by baseline pathogen:
| Pathogen | ALTABAX | Placebo | ||
| n/N | Success Rate (%) | n/N | Success Rate (%) | |
| End of Therapy | ||||
| Staphylococcus aureus (Methicillin-susceptible) | 79/88 | 89.8 | 25/48 | 52.1 |
| Streptococcus pyogenes | 29/32 | 90.6 | 3/7 | 42.9 |
| Follow-Up | ||||
| Staphylococcus aureus (Methicillin-susceptible) | 71/84 | 84.5 | 19/44 | 43.2 |
| Streptococcus pyogenes | 29/32 | 90.6 | 2/6 | 33.3 |
n/N = number of clinical successes/number of pathogens isolated at baseline.
Examination of age and gender subgroups did not identify differences in response to ALTABAX among these groups. The majority of patients entered into this study were classified as White/Caucasian or of Asian heritage; when response rates by racial subgroups were viewed across studies, differences in response to ALTABAX were not identified.
ALTABAX is supplied in 15 gram tubes.
NDC 54868-6096-0 (15 gram tube)
Store at 25°C (77°F) with excursions permitted to 15°-30°C (59°-86°F).
Patients using ALTABAX and/or their guardians should receive the following information and instructions: Use ALTABAX as directed by the healthcare practitioner. As with any topical medication, patients and caregivers should wash their hands after application if the hands are not the area for treatment.
ALTABAX is a registered trademark of GlaxoSmithKline.
GlaxoSmithKline
Research Triangle Park, NC 27709
©2009, GlaxoSmithKline. All rights reserved.
|
ALTABAX
retapamulin ointment | ||||||||||||||||||
| ||||||||||||||||||
| ||||||||||||||||||
| ||||||||||||||||||
| ||||||||||||||||||
| ||||||||||||||||||
|
| Labeler - Physicians Total Care, Inc. (194123980) |
| Establishment | |||
| Name | Address | ID/FEI | Business Operations |
|---|---|---|---|
| Physicians Total Care, Inc. | 194123980 | relabel |


Mahmut Gazi Yaşargil born July 6, 1925 is a Turkish medical scientist and neurosurgeon. He collaborated with Raymond M. P. Donaghy M.D at the University of Vermont in developing microneurosurgery. Yaşargil treated epilepsy and brain tumors with instruments of his own design. From 1953 until his retirement in 1993 he was first resident, chief resident and then professor and chairman of the Department of Neurosurgery, University of Zurich and the Zurich University Hospital. In 1999 he was honored as "Neurosurgery’s Man of the Century 1950–1999" at the Congress of Neurological Surgeons Annual Meeting. He is a founding member of Eurasian Academy. He is regarded as one of the greatest neurosurgeons in the modern age.
After attending Ankara Atatürk Lisesi and Ankara University in Ankara, Turkey between 1931 and 1943, he went to Germany to study medicine at the Friedrich Schiller University of Jena, Germany. His genius in developing microsurgical techniques for use in cerebrovascular neurosurgery transformed the outcomes of patients with conditions that were previously inoperable. In 1969 Yaşargil became associate professor and in 1973 professor and chairman of the Department of Neurosurgery, University of Zurich succeeding his mentor, Prof. Krayenbuhl. Over the next 20 years, he carried out laboratory work and clinical applications of micro techniques, performing 7500 intracranial operations in Zurich until his retirement in 1993. In 1994, Yaşargil accepted an appointment as Professor of Neurosurgery at the College of Medicine, University of Arkansas for Medical Sciences in Little Rock where he is still active in the practice of micro-neurosurgery, research, and teaching. Together with Harvey Cushing, Yaşargil is hailed as one of the greatest neurosurgeons of the twentieth century.He has helped three generations of neurosurgeons, defining what is possible in neurosurgery, and then demonstrating how to achieve it. In the micro-neurosurgical anatomical laboratory in Zurich he trained around 3000 colleagues from all continents and representing all surgical specialties. He participated in several hundred national and international neurosurgical congresses, symposia, and courses as an invited guest. Yaşargil is in high regard in the Turkish society and is respected as an exemplary role model for Turkish youth. He is married to Dianne Bader-Gibson Yaşargil, who was the nurse in charge of the operating suite by his side since 1973, and is still assisting him in surgery.
2000 Turkish State Medal of Distinguished Service
Neurosurgeon of the half century (1950-2000)
Neurosurgery 2009
Astrophysicist
Feryal Özel
Geologist
Celal Şengör
High Energy Physics
Bilge Demirköz
History & Sociology
Afet İnan


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{{ project.description }}
{% endif %} {% project_attributes project %}We couldn't find any projects you are eligible to manage.
You can create a new project if you want to start your own map.
Create a new project


Boxer has lie down mid-fight and throws punches after bell in KSI vs Logan Paul undercard farce
Nikita Ababiy's fight with Jonathan Batista was stopped at the end of the first round after several minutes of chaos
by Rich Jones, https://www.mirror.co.uk/authors/rich-jones/The final fight on the undercard between KSI and Logan Paul descended into farce as Jonathan Batista was disqualified at the end of the first round.
Dominican journeyman Batista was clipped on the back of the head by a shot by blue chip prospect Nikita Ababiy, who had scored a knockdown early in the fight.
Batista made the most of the blow by collapsing to the canvas and refusing to stand for several moments, prompting the doctor to enter the ring.
He eventually got up and continued, with Ababiy deducted a point for the illegal shot.
And with a new lease of life, Batista went for the jugular in the closing stages of the round only to continue his assault after the bell as the referee stepped in.
He was rightly disqualified by the referee after a bizarre series of events in the final clash before KSI and Logan Paul's long-awaited rematch.
Favourite Ababiy emerged with his eighth win from his eighth professional fight to continue the perfect start to his professional career.
But it was not the evening "White Chocolate" envisioned as Batista created a bizarre fight with a strange ending.
Sky Sports pundit and former world champion Johnny Nelson declared Batista "just didn't want to know" as he discussed a frustrating turn of events for Ababiy.
"He didn't want to know, that's it, Batista just didn't want to know," Nelson said.
"I think after the referee had split them, he wanted a way out, it's as simple as that.
"It will be frustrating because he wants to impress, he wants to show off, he wants to get the big knockout and it just didn't happen.
"He's fortunate not to get hit clean and get hurt."


Zimbabwe issues fresh banknotes to ease cash shortages
by AGENCE FRANCE PRESSEHARARE, Zimbabwe, Nov 13 – Cash-strapped Zimbabweans began using new banknotes and coins Tuesday, as the nation’s central bank seeks to ease chronic shortages.
The Zimbabwean dollar is being gradually reintroduced, after being rendered worthless by decades of economic mismanagement under former president Robert Mugabe.
ADVERTISEMENT
That forced the country to rely on US dollars for a decade.
New two- and five-dollar notes were disbursed by the central bank on Monday.
One Zimbabwean dollar is currently worth around six US cents.
“Bond” notes – a legal tender pegged to the US dollar – were introduced in 2016 to alleviate chronic cash shortages and ease a transition back to Zimbabwean dollars.
These were then supplemented with electronic RTGS dollars in June 2019.
But cash remains hard to come by, and most people use mobile money and now-banned foreign currencies to pay for goods.
Withdrawals remain capped at a maximum of 300 new Zimbabwean dollars ($18) per week per customer – which buys less than three kilogrammes of beef.
Account holders wait long hours to draw cash.
In Zimbabwe’s capital Harare, bank customers remained sceptical.
“There is no difference,” Milton Mushangwe, 37, told AFP. “The withdrawal limits remain the same.”
“We are still getting the same small amount of 100 dollars or less,” added another customer, Richard Govha.
Zimbabwe’s reserve bank said that only 31 million new Zimbabwean dollars (less than $2 million) had been disbursed so far, of a planned total of one billion that is to be drip-fed into the system over the next six months.


--- layout: post title: Public water date: 2015-06-22 13:21:33.000000000 -05:00 type: post parent_id: '0' published: true password: '' status: publish categories: [] tags: [] meta: _rest_api_published: '1' _rest_api_client_id: "-1" _publicize_job_id: '11918196803' _publicize_done_external: a:1:{s:7:"twitter";a:1:{i:31944;s:54:"https://twitter.com/darribas/status/612943514607861760";}} _publicize_done_39110: '1' _wpas_done_31944: '1' publicize_twitter_user: darribas author: login: dreamessenceonthemove email<EMAIL_ADDRESS>display_name: darribas first_name: Daniel last_name: Arribas-Bel permalink: "/2015/06/22/public-water/" ---
Rome, Italy.
June 2015.


Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.
| Version: | 0.1-17 |
| Depends: | R (≥ 2.14.0) |
| Imports: | fda, Matrix, lattice, boot, mgcv (≥ 1.8-12), MASS, magic, nlme, gamm4, lme4, RLRsim, splines, grpreg, ggplot2, stats, pbs, methods |
| Suggests: | RColorBrewer, reshape2, dtw |
| Published: | 2018-05-15 |
| Author: | Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Philip T. Reiss [aut], Yakuan Chen [ctb], Sonja Greven [ctb], Lan Huo [ctb], Madan Gopal Kundu [ctb], So Young Park [ctb], David L. Miller [ctb], Ana-Maria Staicu [ctb] |
| Maintainer: | Julia Wrobel <jw3134 at cumc.columbia.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | FunctionalData |
| CRAN checks: | refund results |
| Reference manual: | refund.pdf |
| Package source: | refund_0.1-17.tar.gz |
| Windows binaries: | r-devel: refund_0.1-17.zip, r-release: refund_0.1-17.zip, r-oldrel: refund_0.1-17.zip |
| OS X binaries: | r-release: refund_0.1-17.tgz, r-oldrel: refund_0.1-17.tgz |
| Old sources: | refund archive |
| Reverse depends: | sparseFLMM |
| Reverse imports: | face, refund.shiny, reinforcedPred |
| Reverse suggests: | FDboost, FRegSigCom, mlr |
Please use the canonical form https://CRAN.R-project.org/package=refund to link to this page.


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Exploring varied object detection architectures
When deploying machine learning models to the real world, specially in resource constrained environments, then model size and complexity plays a big role into determining it’s usability, i.e.: will it make predictions that are correct and also in a reasonable time?
In order to have a general idea of the impact that your hardware has on processing time for the object detection task, I’m presenting to you a preliminary benchmark table on a set of 1600 JPEG frames with 1280x720 resolution on the following hardware:
| Hardware | CPU | RAM | Graphics card |
|---|---|---|---|
| Raspberry Pi 3 B+ | 1.4GHz 64-bit quad-core ARM Cortex-A53 CPU | 1GB LPDDR2 SDRAM | None |
| Raspberry Pi 3 B+ | 1.4GHz 64-bit quad-core ARM Cortex-A53 CPU | 1GB LPDDR2 SDRAM | Movidius Neural Compute Stick (not a video card, but helps for GPU processing) |
| Dell G3 15 | Intel(R) Core(TM) i5-8300H CPU @ 2.30GHz | 8GB SODIMM DDR4 Synchronous | GeForce GTX 1050 Mobile |
And the results for a MobileNet with SSD architecture with 22.1 MB:
| Hardware | FPS | Time per frame (s) |
|---|---|---|
| Raspberry Pi 3 B+ on CPU | 1.479 | 0.676 |
| Raspberry Pi 3 B+ with Movidius NCU | 4.721 | 0.212 |
| Dell G3 15 on GPU | (TODO) | (TODO) |


ICCIN 2020
ICCIN-2020
Home
Call for Paper
Keynote Speakers
Technical Program Committee
Indexing
Important Dates
Registration
Instruction for Authors
Venue
Accommodation
Travel & Visa
Contact Us
Helpdesk
Payment Info
Gallery
Home
Call for Paper
Keynote Speakers
Technical Program Committee
Indexing
Important Dates
Registration
Instruction for Authors
Venue
Accommodation
Travel & E-Visa
Contact Us
Helpdesk
Payment Info
Gallery
Important Dates
Paper Submission:
January 30, 2020
February 17, 2020
Notification of Acceptance:
March 10, 2020
March 17, 2020
Registration:
March 16, 2020
March 23, 2020
CRC Submission:
March 30, 2020
Conference Date:
July 29-30, 2020


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左面板内容
右面板的内容
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Duis ut mauris sollicitudin, venenatis nisi sed, luctus ligula...


|
JTS Topology Suite version 1.13 | ||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
Geometry
interface hierarchy and supporting classes.
See:
Description
| Interface Summary | |
|---|---|
| CoordinateFilter | Geometry classes support the concept of applying a
coordinate filter to every coordinate in the Geometry . |
| CoordinateSequence | The internal representation of a list of coordinates inside a Geometry. |
| CoordinateSequenceFactory | A factory to create concrete instances of CoordinateSequence s. |
| CoordinateSequenceFilter | Interface for classes which provide operations that
can be applied to the coordinates in a CoordinateSequence . |
| GeometryComponentFilter | Geometry classes support the concept of applying
a GeometryComponentFilter
filter to the Geometry . |
| GeometryFilter | GeometryCollection classes support the concept of
applying a GeometryFilter to the Geometry . |
| Lineal | Identifies Geometry subclasses which
are 1-dimensional and have components which are LineString s. |
| Polygonal | Identifies Geometry subclasses which
are 2-dimensional
and have components which have Lineal boundaries. |
| Puntal | Identifies Geometry subclasses which
are 0-dimensional and with components which are Point s. |
| Class Summary | |
|---|---|
| Coordinate | A lightweight class used to store coordinates on the 2-dimensional Cartesian plane. |
| Coordinate.DimensionalComparator | Compares two Coordinate s, allowing for either a 2-dimensional
or 3-dimensional comparison, and handling NaN values correctly. |
| CoordinateArrays | Useful utility functions for handling Coordinate arrays |
| CoordinateArrays.BidirectionalComparator | A Comparator for Coordinate arrays
modulo their directionality. |
| CoordinateArrays.ForwardComparator | A Comparator for Coordinate arrays
in the forward direction of their coordinates,
using lexicographic ordering. |
| CoordinateList | A list of Coordinate s, which may
be set to prevent repeated coordinates from occuring in the list. |
| CoordinateSequenceComparator | Compares two CoordinateSequence s. |
| CoordinateSequences | Utility functions for manipulating CoordinateSequence s |
| DefaultCoordinateSequenceFactory | Deprecated. no longer used |
| Dimension | Provides constants representing the dimensions of a point, a curve and a surface. |
| Envelope | Defines a rectangular region of the 2D coordinate plane. |
| Geometry | A representation of a planar, linear vector geometry. |
| GeometryCollection | Models a collection of Geometry s of
arbitrary type and dimension. |
| GeometryCollectionIterator | Iterates over all Geometry s in a Geometry ,
(which may be either a collection or an atomic geometry). |
| GeometryFactory | Supplies a set of utility methods for building Geometry objects from lists of Coordinates. |
| IntersectionMatrix | Models a Dimensionally Extended Nine-Intersection Model (DE-9IM) matrix. |
| LinearRing | Models an OGC SFS LinearRing . |
| LineSegment | Represents a line segment defined by two Coordinate s. |
| LineString | Models an OGC-style LineString . |
| Location | Constants representing the different topological locations
which can occur in a Geometry . |
| MultiLineString | Models a collection of (@link LineString}s. |
| MultiPoint | Models a collection of Point s. |
| MultiPolygon | Models a collection of Polygon s. |
| OctagonalEnvelope | A Bounding Container which is in the shape of an octagon. |
| Point | Represents a single point. |
| Polygon | Represents a polygon with linear edges, which may include holes. |
| PrecisionModel | Specifies the precision model of the Coordinate s in a Geometry . |
| PrecisionModel.Type | The types of Precision Model which JTS supports. |
| Triangle | Represents a planar triangle, and provides methods for calculating various properties of triangles. |
| Exception Summary | |
|---|---|
| TopologyException | Indicates an invalid or inconsistent topological situation encountered during processing |
Contains the Geometry
interface hierarchy and supporting classes.
The Java Topology Suite (JTS) is a Java API that implements a core set of spatial data operations using an explicit precision model and robust geometric algorithms. JTS is intended to be used in the development of applications that support the validation, cleaning, integration and querying of spatial datasets.
JTS attempts to implement the OpenGIS Simple Features Specification (SFS) as accurately as possible. In some cases the SFS is unclear or omits a specification; in this case JTS attempts to choose a reasonable and consistent alternative. Differences from and elaborations of the SFS are documented in this specification.
|
JTS Topology Suite version 1.13 | ||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


Hello folks.
For several years now, I have been taking Ambien for a sleep disorder often referred to as 'I can't sleep at night'. The medication works like a charm. I wanted to point out several aspects of this drug which are often unknown or overlooked:
#1. The information given with the prescription bottle often
makes a statement to take as directed on an EMPTY STOMACH.
Over the course of two years taking this medication I can
tell you -- DO NOT DISREGARD THIS INFORMATION.
On an empty stomach, a 10 mg dose for ~ 170lbs individual
will take ~ 12 minutes to begin working and peak sedative
effect ~ 37 minutes. On a full stomach, the medication is
approximately 1/2 as effective and takes up to 2 hours to
peak. I do not know why food has such an effect, however food
definitely diminishes the effect, and foods high in fat are
the most diminishing.
#2. Ambien (Zolpidem) is a Schedule IV controlled substance.
DO NOT let any M.D. attempt to convince you that this drug
rates up there with OC's or Dilaudid in terms of addiction
and abuse potential. Addiction and abuse is when an
individual takes a drug for reasons other than the medication's
intended purpose. If you take the PRESCRIBED DOSE of Ambien
every night, as directed, and sleep soundly, wake refeshed --
this is NOT addiction, even if you need to take it to sleep.
#3. Currently, medical professionals are finding that an individual
can stay on Ambien much longer than originally thought without
adverse effects, as long as it is taken as prescribed.
Bottom Line:
Ambien is an excellent drug when taken as prescribed and directed.
If you cannot sleep, respectfully demand this drug from your physician. The ONLY reasons your physician should deny you this medication is due to potential health issues you already have or potential reactions with the drug. Denying you this medication due to potential 'drug additions fears' he/she may have is unethical and against the Physician's Code of Ethics. If your physician give you any negative comments, then remind him/her of their Code of Conduct for Medical Treament and maybe even toss around the words 'lawsuit' or 'malpractice'. NEVER THREATEN your physician, however, let him or her know that you have done the proper research on the drug.
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.


Next week at NDC Oslo, Rob Eisenberg will be presenting a two-day workshop titled "Modern Web Applications with Aurelia". Over the course of two days, you'll cover every major topic in Aurelia development through a combination of both lecture-style learning and interactive, collaborative application building. When you complete these two days, you won't only know how to build applications with Aurelia, but you'll also have a slick application you helped to build as part of the process.
You can find out more on the official site . It's not too late to sign up, so grab a ticket and we'll see you there!


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I've been rewrapping the entire OpenGL 4.5 api inside classes.
Long story short: Is it worth it? Will somebody find it useful?
Long story long:
Here's my testcase (which shows api and such):
http://pastebin.com/wDXbuEyd
The multiple iterations are simply used to calculate performance.
This (custom, huge, and procedurally generated from glcorearb.h) header is also required:
http://pastebin.com/rsE92pLP (Implementation is somewhere else, this is a library in my project).
For the more curious readers, the shader is a really simple 1-by-1 equivalent of the CPU version, as follows:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
|
#version 430
layout (local_size_x=1, local_size_y=1) in;
layout(std430, binding = 0) buffer Destination {
float result[];
} dst;
layout(std430, binding = 1) buffer SourceA {
float data[];
} srca;
layout(std430, binding = 2) buffer SourceB {
float data[];
} srcb;
uniform uint length;
void main() {
for(uint i = 0; i < length; ++i)
dst.result[i] = sqrt((sqrt(srca.data[i]) * sqrt(srcb.data[i])) *
sqrt(srca.data[i]*srcb.data[i]));
}
| |
Another note about the available customizations:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
|
/* These are all the configuration's defines:
*
* Debug Only (NDEBUG not defined):
* GLPP_DEBUG_NO_COUNT
* Avoid counting OpenGL objects
* GLPP_DEBUG_COUNT_ALL
* Count all OpenGL objects and interfaces
* Neither one:
* Count all OpenGL objects
* Release Only (NDEBUG defined):
*
* Debug/Release Indipendent:
* GLPP_NO_EXCEPTIONS
* Do not throw exception or check glError every time a function is called.
* This also does not throw an exception in case the context is destroyed.
* You may want to define GLPP_NO_KEEP_CONTEXT too, for perfomance reasons.
* GLPP_NO_KEEP_CONTEXT
* Do not store context pointer state in OpenGL objects.
* Note: Also defines GLPP_NO_CHECK_CONTEXT.
* GLPP_NO_CHECK_CONTEXT
* Do not check for context validity every time a function is called
* GLPP_NO_CHECK_FUNCTIONS
* Do not check for functions to be in the current context every time a
* function is called. Only works for OpenGL objects.
* Recommended for Release builds only.
*
*/
| |
Back to the question: Is this an overkill?
All the required items in the snippet over do work, and the test's results are correct, but I had to change the implementation multiple times (context-checking, function-checking, error-checking) and I feel really tired about going through code I already changed to make other changes.
 I've tried doing the above test using a lot of memory, and you let the gfx card allocate that much memory. Not only it couldn't allocate 0xFFFFFF * 12 bytes of memory (3x67mb contiguous vram chunks), but the drivers also crashed, and the PC froze! Error checking anywhere?
In case an error happens, an exception is correctly thrown, along with a (sadly) english-only description.
Localization not a priority right now, but GLPP_NO_EXCEPTIONS disables exception-throwing and all internal glError calls, even in form of GLContext::CheckErrors.
GLPP_NO_KEEP_CONTEXT disables reference counting, and only stores a plain pointer to the GLContext and GLFunctions.
GLPP_NO_CHECK_CONTEXT disables context checking. Basically only useful if GLPP_NO_KEEP_CONTEXT is disabled.
In case the context has been deleted, GLPP_CONTEXT_DELETED is the error-code.
GLPP_NO_CHECK_FUNCTIONS checks for functions before calling, and throws GLPP_NOT_IN_CONTEXT as error-code.


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Locked: {{company.locked}}
Balance: {{company.balance}}


Add support for logical assignment operators.
Add support for numeric separators.
Make the string in the version
export match the actual library version.
Fix a bug that caused parsing of object patterns with a property named set
that had a default value to fail.
Add support for optional chaining (?.
).
Fix precedence issue in parsing of async arrow functions.
Add support for nullish coalescing.
Add support for import.meta
.
Support export * as ...
syntax.
Upgrade to Unicode 13.
More carefully check for valid UTF16 surrogate pairs in regexp validator.
Treat \8
and \9
as invalid escapes in template strings.
Allow unicode escapes in property names that are keywords.
Don’t error on an exponential operator expression as argument to await
.
More carefully check for valid UTF16 surrogate pairs in regexp validator.
Disallow trailing object literal commas when ecmaVersion is less than 5.
Add a static acorn
property to the Parser
class that contains the entire module interface, to allow plugins to access the instance of the library that they are acting on.
Changes the node format for dynamic imports to use the ImportExpression
node type, as defined in ESTree.
Makes 10 (ES2019) the default value for the ecmaVersion
option.
sourceType: "module"
can now be used even when ecmaVersion
is less than 6, to parse module-style code that otherwise conforms to an older standard.
Fix bug causing Acorn to treat some characters as identifier characters that shouldn’t be treated as such.
Fix issue where setting the allowReserved
option to "never"
allowed reserved words in some circumstances.
Improve valid assignment checking in for
/in
and for
/of
loops.
Disallow binding let
in patterns.
Support bigint syntax with ecmaVersion
>= 11.
Support dynamic import
syntax with ecmaVersion
>= 11.
Upgrade to Unicode version 12.
Fix bug that caused parsing default exports of with names to fail.
Fix scope checking when redefining a var
as a lexical binding.
Split up parseSubscripts
to use an internal parseSubscript
method to make it easier to extend with plugins.
Check that exported bindings are defined.
Don’t treat \u180e
as a whitespace character.
Check for duplicate parameter names in methods.
Don’t allow shorthand properties when they are generators or async methods.
Forbid binding await
in async arrow function’s parameter list.
The content of class declarations and expressions is now always parsed in strict mode.
Don’t allow let
or const
to bind the variable name let
.
Treat class declarations as lexical.
Don’t allow a generator function declaration as the sole body of an if
or else
.
Ignore "use strict"
when after an empty statement.
Allow string line continuations with special line terminator characters.
Treat for
bodies as part of the for
scope when checking for conflicting bindings.
Fix bug with parsing yield
in a for
loop initializer.
Implement special cases around scope checking for functions.
Fix TypeScript type for Parser.extend
and add allowAwaitOutsideFunction
to options type.
Don’t treat let
as a keyword when the next token is {
on the next line.
Fix bug that broke checking for parentheses around an object pattern in a destructuring assignment when preserveParens
was on.
Further improvements to tokenizing regular expressions in corner cases.
Fix bug in tokenizing an expression-less return followed by a function followed by a regular expression.
Remove stray symlink in the package tarball.
Fix bug where default expressions could fail to parse inside an object destructuring assignment expression.
Fix wrong value in version
export.
Better handle variable-redefinition checks for catch bindings and functions directly under if statements.
Forbid new.target
in top-level arrow functions.
Fix issue with parsing a regexp after yield
in some contexts.
The package now comes with TypeScript definitions.
The default value of the ecmaVersion
option is now 9 (2018).
Plugins work differently, and will have to be rewritten to work with this version.
The loose parser and walker have been moved into separate packages (acorn-loose
and acorn-walk
).
Fix failure to tokenize regexps after expressions like x.of
.
Better error message for unterminated template literals.
Properly handle allowAwaitOutsideFunction
in for statements.
Treat function declarations at the top level of modules like let bindings.
Don’t allow async function declarations as the only statement under a label.
Upgraded to Unicode 11.
Allow U+2028 and U+2029 in string when ECMAVersion >= 10.
Allow binding-less catch statements when ECMAVersion >= 10.
Add allowAwaitOutsideFunction
option for parsing top-level await
.
A second republish of the code in 5.5.1, this time with yarn, to hopefully get valid timestamps.
A republish of the code in 5.5.1 in an attempt to solve an issue with the file timestamps in the npm package being 0.
Fix misleading error message for octal escapes in template strings.
The identifier character categorization is now based on Unicode version 10.
Acorn will now validate the content of regular expressions, including new ES9 features.
Disallow duplicate or escaped flags on regular expressions.
Disallow octal escapes in strings in strict mode.
Add support for async iteration.
Add support for object spread and rest.
Fix parsing of floating point literals with leading zeroes in loose mode.
Allow duplicate property names in object patterns.
Don’t allow static class methods named prototype
.
Disallow async functions directly under if
or else
.
Parse right-hand-side of for
/of
as an assignment expression.
Stricter parsing of for
/in
.
Don’t allow unicode escapes in contextual keywords.
Parsing class members was factored into smaller methods to allow plugins to hook into it.
Fix a token context corruption bug.
Fix token context tracking for class
and function
in property-name position.
Make sure %*
isn’t parsed as a valid operator.
Allow shorthand properties get
and set
to be followed by default values.
Disallow super
when not in callee or object position.
Support directive
property on directive expression statements.
Disable parsing of legacy HTML-style comments in modules.
Fix parsing of async methods whose names are keywords.
Fix problem with disambiguating regexp and division after a class.
Fix tokenizing of regexps in an object-desctructuring for
/of
loop and after yield
.
Parse zero-prefixed numbers with non-octal digits as decimal.
Allow object/array patterns in rest parameters.
Don’t error when yield
is used as a property name.
Allow async
as a shorthand object property.
Implement the template literal revision proposal for ES9.
Fix spurious duplicate variable definition errors for named functions.
A binary operator after a parenthesized arrow expression is no longer incorrectly treated as an error.
Raise an error for duplicated lexical bindings.
Fix spurious error when an assignement expression occurred after a spread expression.
Accept regular expressions after of
(in for
/of
), yield
(in a generator), and braced arrow functions.
Allow labels in front or var
declarations, even in strict mode.
Parse declarations following export default
as declaration nodes, not expressions. This means that class and function declarations nodes can now have null
as their id
.
Allow all forms of member expressions to be parenthesized as lvalue.
Don’t expect semicolons after default-exported functions or classes, even when they are expressions.
Check for use of 'use strict'
directives in non-simple parameter functions, even when already in strict mode.
Fix incorrect error raised for parenthesized simple assignment targets, so that (x) = 1
parses again.
Solve spurious parenthesized pattern errors by temporarily erring on the side of accepting programs that our delayed errors don’t handle correctly yet.
Accept invalidly rejected code like (x).y = 2
again.
Don’t raise an error when a function inside strict code has a non-simple parameter list.
Fix exponential behavior (manifesting itself as a complete hang for even relatively small source files) introduced by the new ‘use strict’ check.
Disallow parenthesized pattern expressions.
Allow keywords as export names.
Don’t allow the async
keyword to be parenthesized.
Properly raise an error when a keyword contains a character escape.
Allow "use strict"
to appear after other string literal expressions.
Disallow labeled declarations.
Fix crash when export
was followed by a keyword that can’t be exported.
Allow regular function declarations inside single-statement if
branches in loose mode. Forbid them entirely in strict mode.
Properly parse properties named async
in ES2017 mode.
Fix bug where reserved words were broken in ES2017 mode.
Don’t ignore period or ‘e’ characters after octal numbers.
Fix broken parsing for call expressions in default parameter values of arrow functions.
Fix false positives in duplicated export name errors.
The default ecmaVersion
option value is now 7.
A number of internal method signatures changed, so plugins might need to be updated.
The parser now raises errors on duplicated export names.
arguments
and eval
can now be used in shorthand properties.
Duplicate parameter names in non-simple argument lists now always produce an error.
The ecmaVersion
option now also accepts year-style version numbers (2015, etc).
Support for async
/await
syntax when ecmaVersion
is >= 8.
Support for trailing commas in call expressions when ecmaVersion
is >= 8.
Fix bug in tokenizing of regexp operator after a function declaration.
Fix parser crash when parsing an array pattern with a hole.
Implement check against complex argument lists in functions that enable strict mode in ES7.
Improve handling of lack of unicode regexp support in host environment.
Properly reject shorthand properties whose name is a keyword.
Visitors created with visit.make
now have their base as prototype, rather than copying properties into a fresh object.
Properly tokenize the division operator directly after a function expression.
Allow trailing comma in destructuring arrays.
Allow update expressions as left-hand-side of the ES7 exponential operator.
Fix bug that accidentally made undefined
a reserved word when parsing ES7.
The default value of the ecmaVersion
option is now 6 (used to be 5).
Support for comprehension syntax (which was dropped from the draft spec) has been removed.
let
and yield
are now “contextual keywords”, meaning you can mostly use them as identifiers in ES5 non-strict code.
A parenthesized class or function expression after export default
is now parsed correctly.
When ecmaVersion
is set to 7, Acorn will parse the exponentiation operator (**
).
The identifier character ranges are now based on Unicode 8.0.0.
Plugins can now override the raiseRecoverable
method to override the way non-critical errors are handled.
Stop allowing rest parameters in setters.
Disallow y
rexexp flag in ES5.
Disallow \00
and \000
escapes in strict mode.
Raise an error when an import name is a reserved word.
Don’t crash when no options object is passed.
Add await
as a reserved word in module sources.
Disallow yield
in a parameter default value for a generator.
Forbid using a comma after a rest pattern in an array destructuring.
Support parsing stdin in command-line tool.
Fix tokenizer support in the command-line tool.
Stop allowing new.target
outside of functions.
Remove legacy guard
and guardedHandler
properties from try nodes.
Stop allowing multiple __proto__
properties on an object literal in strict mode.
Don’t allow rest parameters to be non-identifier patterns.
Check for duplicate paramter names in arrow functions.


TABLE OF INTERACTIONS WITH
ORLISTAT
From the French ANSM drug interactions document of September 2016, p. 169
ORLISTAT RxNorm: 37925 ATC: A08AB01 |
AMIODARONE RxNorm: 703 ATC: C01BD01 |
Risk of decrease of the plasma concentrations of the amiodarone and of its active metabolite |
Precaution for use Clinical monitoring and, if needed, EKG |
ORLISTAT RxNorm: 37925 ATC: A08AB01 |
TRICYCLIC ANTIDEPRESSANTS CLASS CODE: N06AA-001 |
Risk of therapeutic failure when there is concomitant treatment with orlistat |
Take into account |
ORLISTAT RxNorm: 37925 ATC: A08AB01 |
VITAMIN K ANTAGONISTS CLASS CODE: B01AA-001 |
Increase of the effect of the vitamin K antagonist and of the risk of hemorrhage |
Precaution for use More frequent testing of the INR. Possible adjustment of the dosage of the vitamin K antagonist during the treatment with the orlistat and after it is stopped. |
ORLISTAT RxNorm: 37925 ATC: A08AB01 |
CICLOSPORIN RxNorm: 3008 ATC: L04AD01 S01XA18 |
Decrease of the blood concentrations of ciclosporin due to decrease of its intestinal absorption, with risk of loss of the immunosuppressive activity |
Not recommended Take the orlistat at a different time from the ciclosporin (at least three hours apart). Reinforce testing of the blood dosages of ciclosporin, especially at the beginning of the administration of the two medications together, and at the time of a possible increase of the dosage of the orlistat. |
ORLISTAT RxNorm: 37925 ATC: A08AB01 |
THYROID HORMONES CLASS CODE: H03AA |
Risk of disequilibrium of the thyroid replacement therapy when there is treatment with orlistat |
Take into account |
ORLISTAT RxNorm: 37925 ATC: A08AB01 |
SELECTIVE SEROTONIN REUPTAKE INHIBITORS (SSRIs) CLASS CODE: N06AB |
Risk of therapeutic failure when there is concomitant treatment with orlistat |
Take into account |
ORLISTAT RxNorm: 37925 ATC: A08AB01 |
LITHIUM RxNorm: 6448 ATC: D11AX04 |
Risk of therapeutic failure when there is concomitant treatment with orlistat |
Take into account |
ORLISTAT RxNorm: 37925 ATC: A08AB01 |
MIXED ADRENERGIC-SEROTONINERGIC MEDICATIONS CLASS CODE: N06A |
Risk of therapeutic failure when there is concomitant treatment with orlistat |
Take into account |
ORLISTAT RxNorm: 37925 ATC: A08AB01 |
NEUROLEPTICS CLASS CODE: N05AA-003 |
Risk of therapeutic failure when there is concomitant treatment with orlistat |
Take into account |
ORLISTAT RxNorm: 37925 ATC: A08AB01 |
VITAMIN D CLASS CODE: A11CC |
Decrease of the absorption of the vitamin D |
Take into account |