|
areaDetector
3-12-1
EPICS areaDetector framework
|
#include <epicsTypes.h>
#include <epicsMessageQueue.h>
#include <epicsTime.h>
#include "asynNDArrayDriver.h"
Go to the source code of this file.
Classes | |
| class | ADDriver |
| Class from which areaDetector drivers are directly derived. More... | |
Macros | |
| #define | AREA_DETECTOR_OK 0 |
| Success code; generally asyn status codes are used instead where possible. More... | |
| #define | AREA_DETECTOR_ERROR -1 |
| Failure code; generally asyn status codes are used instead where possible. More... | |
| #define | ADGainString "GAIN" |
| Strings defining parameters that affect the behaviour of the detector. More... | |
| #define | ADBinXString "BIN_X" |
| (asynInt32, r/w) Binning in the X direction More... | |
| #define | ADBinYString "BIN_Y" |
| (asynInt32, r/w) Binning in the Y direction More... | |
| #define | ADMinXString "MIN_X" |
| (asynInt32, r/w) First pixel in the X direction; 0 is the first pixel on the detector More... | |
| #define | ADMinYString "MIN_Y" |
| (asynInt32, r/w) First pixel in the Y direction; 0 is the first pixel on the detector More... | |
| #define | ADSizeXString "SIZE_X" |
| (asynInt32, r/w) Size of the region to read in the X direction More... | |
| #define | ADSizeYString "SIZE_Y" |
| (asynInt32, r/w) Size of the region to read in the Y direction More... | |
| #define | ADMaxSizeXString "MAX_SIZE_X" |
| (asynInt32, r/o) Maximum (sensor) size in the X direction More... | |
| #define | ADMaxSizeYString "MAX_SIZE_Y" |
| (asynInt32, r/o) Maximum (sensor) size in the Y direction More... | |
| #define | ADReverseXString "REVERSE_X" |
| (asynInt32, r/w) Reverse image in the X direction (0=No, 1=Yes) More... | |
| #define | ADReverseYString "REVERSE_Y" |
| (asynInt32, r/w) Reverse image in the Y direction (0=No, 1=Yes) More... | |
| #define | ADFrameTypeString "FRAME_TYPE" |
| (asynInt32, r/w) Frame type (ADFrameType_t) More... | |
| #define | ADImageModeString "IMAGE_MODE" |
| (asynInt32, r/w) Image mode (ADImageMode_t) More... | |
| #define | ADTriggerModeString "TRIGGER_MODE" |
| (asynInt32, r/w) Trigger mode (ADTriggerMode_t) More... | |
| #define | ADNumExposuresString "NEXPOSURES" |
| (asynInt32, r/w) Number of exposures per image to acquire More... | |
| #define | ADNumImagesString "NIMAGES" |
| (asynInt32, r/w) Number of images to acquire in one acquisition sequence More... | |
| #define | ADAcquireTimeString "ACQ_TIME" |
| (asynFloat64, r/w) Acquisition time per image More... | |
| #define | ADAcquirePeriodString "ACQ_PERIOD" |
| (asynFloat64, r/w) Acquisition period between images More... | |
| #define | ADStatusString "STATUS" |
| (asynInt32, r/o) Acquisition status (ADStatus_t) More... | |
| #define | ADShutterControlString "SHUTTER_CONTROL" |
| (asynInt32, r/w) (ADShutterStatus_t) Open (1) or Close(0) shutter More... | |
| #define | ADShutterControlEPICSString "SHUTTER_CONTROL_EPICS" |
| (asynInt32, r/o) (ADShutterStatus_t) Open (1) or Close(0) EPICS shutter More... | |
| #define | ADShutterStatusString "SHUTTER_STATUS" |
| (asynInt32, r/o) (ADShutterStatus_t) Shutter Open (1) or Closed(0) More... | |
| #define | ADShutterModeString "SHUTTER_MODE" |
| (asynInt32, r/w) (ADShutterMode_t) Use EPICS or detector shutter More... | |
| #define | ADShutterOpenDelayString "SHUTTER_OPEN_DELAY" |
| (asynFloat64, r/w) Time for shutter to open More... | |
| #define | ADShutterCloseDelayString "SHUTTER_CLOSE_DELAY" |
| (asynFloat64, r/w) Time for shutter to close More... | |
| #define | ADTemperatureString "TEMPERATURE" |
| (asynFloat64, r/w) Detector temperature More... | |
| #define | ADTemperatureActualString "TEMPERATURE_ACTUAL" |
| (asynFloat64, r/o) Actual detector temperature More... | |
| #define | ADNumImagesCounterString "NIMAGES_COUNTER" |
| (asynInt32, r/o) Number of images collected in current acquisition sequence More... | |
| #define | ADNumExposuresCounterString "NEXPOSURES_COUNTER" |
| (asynInt32, r/o) Number of exposures collected for current image More... | |
| #define | ADTimeRemainingString "TIME_REMAINING" |
| (asynFloat64, r/o) Acquisition time remaining More... | |
| #define | ADReadStatusString "READ_STATUS" |
| (asynInt32, r/w) Write 1 to force a read of detector status More... | |
| #define | ADStatusMessageString "STATUS_MESSAGE" |
| (asynOctet, r/o) Status message More... | |
| #define | ADStringToServerString "STRING_TO_SERVER" |
| (asynOctet, r/o) String sent to server for message-based drivers More... | |
| #define | ADStringFromServerString "STRING_FROM_SERVER" |
| (asynOctet, r/o) String received from server for message-based drivers More... | |
| #define | FIRST_AD_PARAM ADGain |
Enumerations | |
| enum | ADShutterStatus_t { ADShutterClosed, ADShutterOpen } |
| Enumeration of shutter status. More... | |
| enum | ADShutterMode_t { ADShutterModeNone, ADShutterModeEPICS, ADShutterModeDetector } |
| Enumeration of shutter modes. More... | |
| enum | ADStatus_t { ADStatusIdle, ADStatusAcquire, ADStatusReadout, ADStatusCorrect, ADStatusSaving, ADStatusAborting, ADStatusError, ADStatusWaiting, ADStatusInitializing, ADStatusDisconnected, ADStatusAborted } |
| Enumeration of detector status. More... | |
| enum | ADImageMode_t { ADImageSingle, ADImageMultiple, ADImageContinuous } |
| Enumeration of image collection modes. More... | |
| enum | ADFrameType_t { ADFrameNormal, ADFrameBackground, ADFrameFlatField, ADFrameDoubleCorrelation } |
| enum | ADTriggerMode_t { ADTriggerInternal, ADTriggerExternal } |
| #define ADAcquirePeriodString "ACQ_PERIOD" |
(asynFloat64, r/w) Acquisition period between images
| #define ADAcquireTimeString "ACQ_TIME" |
(asynFloat64, r/w) Acquisition time per image
| #define ADBinXString "BIN_X" |
(asynInt32, r/w) Binning in the X direction
| #define ADBinYString "BIN_Y" |
(asynInt32, r/w) Binning in the Y direction
| #define ADFrameTypeString "FRAME_TYPE" |
(asynInt32, r/w) Frame type (ADFrameType_t)
| #define ADGainString "GAIN" |
Strings defining parameters that affect the behaviour of the detector.
These are the values passed to drvUserCreate. The driver will place in pasynUser->reason an integer to be used when the standard asyn interface methods are called. (asynFloat64, r/w) Gain
| #define ADImageModeString "IMAGE_MODE" |
(asynInt32, r/w) Image mode (ADImageMode_t)
| #define ADMaxSizeXString "MAX_SIZE_X" |
(asynInt32, r/o) Maximum (sensor) size in the X direction
| #define ADMaxSizeYString "MAX_SIZE_Y" |
(asynInt32, r/o) Maximum (sensor) size in the Y direction
| #define ADMinXString "MIN_X" |
(asynInt32, r/w) First pixel in the X direction; 0 is the first pixel on the detector
| #define ADMinYString "MIN_Y" |
(asynInt32, r/w) First pixel in the Y direction; 0 is the first pixel on the detector
| #define ADNumExposuresCounterString "NEXPOSURES_COUNTER" |
(asynInt32, r/o) Number of exposures collected for current image
| #define ADNumExposuresString "NEXPOSURES" |
(asynInt32, r/w) Number of exposures per image to acquire
| #define ADNumImagesCounterString "NIMAGES_COUNTER" |
(asynInt32, r/o) Number of images collected in current acquisition sequence
| #define ADNumImagesString "NIMAGES" |
(asynInt32, r/w) Number of images to acquire in one acquisition sequence
| #define ADReadStatusString "READ_STATUS" |
(asynInt32, r/w) Write 1 to force a read of detector status
| #define ADReverseXString "REVERSE_X" |
(asynInt32, r/w) Reverse image in the X direction (0=No, 1=Yes)
| #define ADReverseYString "REVERSE_Y" |
(asynInt32, r/w) Reverse image in the Y direction (0=No, 1=Yes)
| #define ADShutterCloseDelayString "SHUTTER_CLOSE_DELAY" |
(asynFloat64, r/w) Time for shutter to close
| #define ADShutterControlEPICSString "SHUTTER_CONTROL_EPICS" |
(asynInt32, r/o) (ADShutterStatus_t) Open (1) or Close(0) EPICS shutter
| #define ADShutterControlString "SHUTTER_CONTROL" |
(asynInt32, r/w) (ADShutterStatus_t) Open (1) or Close(0) shutter
| #define ADShutterModeString "SHUTTER_MODE" |
(asynInt32, r/w) (ADShutterMode_t) Use EPICS or detector shutter
| #define ADShutterOpenDelayString "SHUTTER_OPEN_DELAY" |
(asynFloat64, r/w) Time for shutter to open
| #define ADShutterStatusString "SHUTTER_STATUS" |
(asynInt32, r/o) (ADShutterStatus_t) Shutter Open (1) or Closed(0)
| #define ADSizeXString "SIZE_X" |
(asynInt32, r/w) Size of the region to read in the X direction
| #define ADSizeYString "SIZE_Y" |
(asynInt32, r/w) Size of the region to read in the Y direction
| #define ADStatusMessageString "STATUS_MESSAGE" |
(asynOctet, r/o) Status message
| #define ADStatusString "STATUS" |
(asynInt32, r/o) Acquisition status (ADStatus_t)
| #define ADStringFromServerString "STRING_FROM_SERVER" |
(asynOctet, r/o) String received from server for message-based drivers
| #define ADStringToServerString "STRING_TO_SERVER" |
(asynOctet, r/o) String sent to server for message-based drivers
| #define ADTemperatureActualString "TEMPERATURE_ACTUAL" |
(asynFloat64, r/o) Actual detector temperature
| #define ADTemperatureString "TEMPERATURE" |
(asynFloat64, r/w) Detector temperature
| #define ADTimeRemainingString "TIME_REMAINING" |
(asynFloat64, r/o) Acquisition time remaining
| #define ADTriggerModeString "TRIGGER_MODE" |
(asynInt32, r/w) Trigger mode (ADTriggerMode_t)
| #define AREA_DETECTOR_ERROR -1 |
Failure code; generally asyn status codes are used instead where possible.
| #define AREA_DETECTOR_OK 0 |
Success code; generally asyn status codes are used instead where possible.
| #define FIRST_AD_PARAM ADGain |
| enum ADFrameType_t |
| enum ADImageMode_t |
| enum ADShutterMode_t |
| enum ADShutterStatus_t |
| enum ADStatus_t |
Enumeration of detector status.
| enum ADTriggerMode_t |


{% extends "base.html" %} {% block title %} Wellbeing | Credits {% endblock title %} {% block content %}
Aryan Mishra - I am a 13 year old school student, machine learning engineer and a web developer! I am innovative and creative, and I like to make stuff that might proove to be usefull in the feature, I participated in this code jam to test out my skills next to other bigger and better developers / programmers than me!
Machine Learning - Aryan Mishra
Front End - Aryan Mishra
Back End - Aryan Mishra
Honourable Mentions - Courtesy of CDC and Kaggle for the Data
Github: Aryan Mishra
Discord: ImCool#0631


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CONSPIRACY THEORY (Warner Bros. - 1997) Starring Mel Gibson, Julia Roberts, Patrick Stewart, Cylk Cozart Screenplay by Brian Helgeland Produced by Joel Silver, Richard Donner Directed by Richard Donner Running time: 135 minutes
** (out of four stars) Alternate Rating: C-
Note: Some may consider portions of the following text to be spoilers. Be forewarned.
-------------------------------------------------------------
Brian Helgeland is currently one of the Hollywood's hottest properties. Formerly known primarily for screenwriting the horror film 976-EVIL and for taking over writing duties from the Wachowski Brothers (themselves no longer to be trifled with after the industry notice and critical acclaim for their film BOUND) for Richard Donner's ASSASSINS, Mr. Helgeland has sinced churned out screenplays for Curtis Hanson's L.A. CONFIDENTIAL, scheduled for imminent release as of this writing, and for the post-apocalyptic thriller THE POSTMAN as a vehicle for Kevin Costner. Mr. Helgeland's own directorial debut, the thriller PARKER, is scheduled for release next year, and features no less of a star than the top A-list Mel Gibson in the lead; it is perhaps indicative of just how successful he has become that Mr. Helgeland is being called upon to deliver the screenplay for the highly-anticipated fourth film in the LETHAL WEAPON series. The pivotal film in Mr. Helgeland's resume? -- he wrote the screenplay for CONSPIRACY THEORY, and based upon the projects with which his name is now being associated, one might expect a stellar, original and inventive screenplay for the film which resulted in his career ascention. To some extent, he delivers -- CONSPIRACY THEORY has a dynamite premise. Unfortunately, that's about the only thing the film has going for it: after the film lays down the tracks for a truly original film with a promising setup, it promptly sinks into uncompelling, slightly inane generic formulaism.
Have you heard a good conspiracy theory lately? Jerry Fletcher has a thousand of them. From the real cause of the Vietnam War (a bet between Howard Hughes and Aristotle Onassis) to solemn cautions about the black helicopters constantly hovering overhead (they're on whisper mode), New York taxi driver Jerry (Mel Gibson) has a theory on just about everything, and he cheerfully prattles on about his paranoid ideas to his captive backseat audiences. When they're not nervously twitching, shifting back and forth, Jerry has his eyes lovingly focused on Justice Department agent Alice Sutton (Julia Roberts), and when he's not gazing through binoculars into her apartment during evenings or causing commotions by bursting into her workplace by day, he formulates new conspiracy theories by leafing through stacks of newspapers and archiving his latest wild notions into a self-published newsletter (circulation: five), "Conspiracy Theory". One of the theories in his latest newsletter seems to have struck a nerve; Jerry is snatched off the street in broad daylight by an anonymous group led by Dr. Jonas (Patrick Stewart), and taken to a secret location where he is forcefully interrogated (in a manner which attempts to be evocative of Stanley Kubrick's A CLOCKWORK ORANGE) about whom might be familiar with his theory, which presumably has some actual basis in fact. Jerry manages to pull off an unlikely escape, but is left wounded, on the run, and wondering *which one* of his theories is the cause for his persecution.
CONSPIRACY THEORY has a good setup with an terrific premise, and has the potential for great intrigue, but sadly the film *is not* interested in conspiracies at all -- what the film *is* interested in is chase scenes. The film could have latched onto its promised premise and had, say, Jerry backtrack through all of his assorted zany conjectures in order to attempt to determine why he's the subject of this intense, lethal manhunt, or at least do *something* vaguely interesting, but instead CONSPIRACY THEORY slides into conventional pursuit thriller mechanizations. Virtually every unimaginative convention of the genre appears at some point in the film: in a cat-and-mouse game, Hero demonstrates his wily nature by outsmarting an attempted capture by Villain; Hero has to turn to dubious and reluctant Heroine for refuge while trying to avoid capture; initially-skeptical Heroine begins to truly realize the grave danger that Hero (and by association, Heroine herself) now faces; the requisite highly-destructive storming of an abode by a ruthless heavily-armed armada which Our Heros escape by the skin of their teeth; the car chases; the planting of seeds of doubt into the mind of Heroine; gunbattles; cool, sinister pronouncements by Villain; many scenes of Hero and Heroine fleeing, hand in hand, into the night; and, of course, the most predictable -- Hero and Heroine fall in love.
Wasted in the proceedings is a fine, jittery manic performance by Mr. Gibson -- he is well-known for this sort of performance, often playing wild-eyed characters such as his famous Martin Riggs role in the LETHAL WEAPON series, but what is notable about Mr. Gibson's work in CONSPIRACY THEORY is how distinctly eccentric and atypically unempathetic his depiction of Jerry is (at least in the first quarter of the film); his creation is a fascinating genuine curiosity at which to be gawked, not merely a lovable kook (which he unfortunately becomes in the film's final three-quarters). Carter Burwell's big, brassy score is notable; while I do not think that it coalesces particularly well with the tone of the film (what that there is), it is inventive and cheery, and gives the interesting opening title sequence additional energy.
CONSPIRACY THEORY is a frustrating viewing experience: to dangle the promise of an engaging and original story before us and then dash it away with generic action (and rather *unaccomplished, poorly-handled* action, at that) is an unnecessary miscalculation. In terms of filmwatching, there is little more painful than seeing a potentially strong film suddenly turn woefully feeble. In CONSPIRACY THEORY, the screech of just such a turn can be heard in the scene when Jerry's wheelchair tumbles down the final flight of stairs.
- Alex Fung email<EMAIL_ADDRESS>web : http://www.ncf.carleton.ca/~aw220/
-- Alex Fung<EMAIL_ADDRESS>| http://www.ncf.carleton.ca/~aw220/ "Let's hurt somebody." - Aaron Eckhart, IN THE COMPANY OF MEN
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| Home | Trees | Indices | Help |
|
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|
|
Wrapper around several geomath.Math
functions from
Karney's Python package geographiclib, provided that package is installed.
The wrapped class methods return a GDict instance
offering access to the dict
items either by key
or by attribute
name.
With env variable PYGEODESY_GEOGRAPHICLIB
left undefined
or set to "2"
, this module, pygeodesy.geodesicw and pygeodesy.geodesicx will use GeographicLib 2.0 and newer transcoding, otherwise
1.52
or older.
pygeodesy
RhumbAux
,
RhumbLineAux
-- Rhumb and RhumbLine in GeographicLib 2.2+
Rhumb
, RhumbLine
-- Rhumb, RhumbLine, TransverseMercator in GeographicLib
2.0
are transcoded from C++ classes in Karney's GeographicLib.
pygeodesy
modules and classes
are or use wrappers around Karney's Python geographiclib geodesic
, C++ utility
GeodSolve or C++ utility RhumbSolve.
pygeodesy
functions and methods to compute
ellipsoidal intersections, nearest points and trilaterations
(exact=None)
in rhumbaux
and RhumbLine.intersection2 and RhumbLine.nearestOn4 (exact=None)
in rhumbx
are iterative implementations of Karney's solution posted here under The ellipsoidal case and in paper Geodesics on an ellipsoid of revolution (pp 20-21, section 14. MARITIME BOUNDARIES).
in pygeodesy
are based on Karney's post Area of a spherical polygon, 3rd Answer.
Version: 23.08.20
| Classes | |
|
Area3Tuple 3-Tuple (number, perimeter, area) with the
number of points on the polygon or polyline, the
perimeter in meter and the
area in meter squared.
|
|
|
_CapsBase (INTERNAL) Base class for [_]Geodesic*Exact .
|
|
|
Direct9Tuple 9-Tuple (a12, lat2, lon2, azi2, s12, m12, M12, M21,
S12) with arc length a12 , angles
lat2 , lon2 and azimuth azi2
in degrees , distance s12 and reduced
length m12 in meter and area
S12 in meter squared.
|
|
|
GDict Basic dict with both key and attribute access
to the dict items.
|
|
|
Inverse10Tuple 10-Tuple (a12, s12, salp1, calp1, salp2, calp2, m12, M12,
M21, S12) with arc length a12 in
degrees , distance s12 and reduced length
m12 in meter , area S12 in
meter squared and the sines salp1 ,
salp2 and cosines calp1 ,
calp2 of the initial 1 and final
2 foward azimuths.
|
|
|
Rhumb8Tuple 8-Tuple (lat1, lon1, lat2, lon2, azi12, s12, S12, a12)
with lat- lat1 , lat2 and longitudes
lon1 , lon2 of both points, the azimuth of
the rhumb line azi12 , the distance s12 ,
the area S12 under the rhumb line and the angular
distance a12 between both points.
|
| Variables | |
__all__ = _ALL_LAZY.karney
|
|
Caps = Caps() Enum-style masks to be bit- or 'ed to specify
geodesic or rhumb capabilities (caps ) and expected
results (outmask ).
|
| Variables Details |
CapsEnum-style masks to be bit-
and
|
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|
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| Generated by Epydoc 3.0.1 on Sun Aug 20 14:42:07 2023 | http://epydoc.sourceforge.net |


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greet() {
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alert(greeter.greet());
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var user = new Student("Andrew", "A.", "User");
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Abstract client socket.
Public Methods | |
| string | __toString () |
The peer's name as <address>:<port> , or <pid>:0 for Unix sockets, or ?<id> if a name can't be derived (e.g. More... | |
| $this | connect (string $address, int $port=0) |
| Connects the socket to a peer. More... | |
| array | getPeerName () |
The peer's address and port, or Unix PID and port 0 . More... | |
| int | send (string $data, int $flags=0) |
| Sends data to the remote peer. More... | |
| $this | write (string $data) |
| Sends all data (forced blocking). More... | |
| Public Methods inherited from AbstractSocket | |
| __construct ($resource) | |
| Validates and sets the underlying socket resource. More... | |
| __destruct () | |
| Closes the socket if it's open. More... | |
| $this | await (int $channel) |
| Blocks until the socket becomes available on a given channel. More... | |
| $this | awaitOutOfBand () |
| $this | awaitReadable () |
| $this | awaitWritable () |
| $this | close () |
| Closes the underlying resource if it's open. More... | |
| int | getDomain () |
The AF_* address family constant. More... | |
| int | getId () |
| mixed | getOption (int $option) |
| Retrieves an option value. More... | |
| resource | getResource () |
| array | getSockName () |
The local address and port, or Unix file path and port 0 . More... | |
| bool | isOpen () |
| bool | isOutOfBand () |
| Polls for whether the socket can perform a non-blocking out-of-band read. More... | |
| bool | isReadable () |
| Polls for whether the socket can perform a non-blocking read. More... | |
| bool | isReady (int $channel, ?float $timeout=0) |
| Selects for channel availability. More... | |
| bool | isWritable () |
| Polls for whether the socket can perform a non-blocking write. More... | |
| $this | setBlocking (bool $blocking) |
| Enables or disables blocking. More... | |
| $this | setOption (int $option, $value) |
| Sets an option on the underlying resource. More... | |
| $this | setTimeout (float $timeout) |
| Sets the I/O timeout length in seconds. More... | |
| $this | shutdown (int $channel) |
| Shuts down I/O for a single channel. More... | |
Additional Inherited Members | |
| Public Properties inherited from SocketInterface | |
| const | CH_EXCEPT = 2 |
| Out-of-band channel. More... | |
| const | CH_READ = 0 |
| Read channel. More... | |
| const | CH_WRITE = 1 |
| Write channel. More... | |
| Protected Properties inherited from AbstractSocket | |
| resource | $resource |
| The underlying PHP resource. More... | |
| Public Static Methods inherited from AbstractSocket | |
| static self | create (int $domain=AF_INET,... $extra) |
| Creates an instance of the called class. More... | |
| static int | getType () |
The SOCK_* type constant for the class. More... | |
| string __toString | ( | ) |
The peer's name as <address>:<port>
, or <pid>:0
for Unix sockets, or ?<id>
if a name can't be derived (e.g.
the socket is closed).
| $this connect | ( | string | $address, |
| int | $port = 0 |
||
| ) |
Connects the socket to a peer.
For datagram sockets this sets the target recipient.
For non-blocking sockets, the SOCKET_EINPROGRESS
and SOCKET_EWOULDBLOCK
errors are ignored and cleared, because they're expected.
| string | $address | The remote network address, or local Unix file name. |
| int | $port | The remote port. Unix sockets ignore this entirely. |
| SocketError |
| array getPeerName | ( | ) |
The peer's address and port, or Unix PID and port 0
.
[ 0 => address, 1 => port ]
| SocketError |
| int send | ( | string | $data, |
| int | $flags = 0 |
||
| ) |
Sends data to the remote peer.
| string | $data | |
| int | $flags | MSG_* |
| SocketError |
| $this write | ( | string | $data | ) |
Sends all data (forced blocking).
| string | $data |
| SocketError | int total bytes sent is set as the extra data. |


--- title: "Modal" date: 2021-04-29T16:00:58+02:00 draft: false main_title: "Tailwind modal" subheading: "" seo_title: "Tailwind modal component - examples & templates" description: "Responsive modal built with Tailwind. Modal is a flexbile popup used to display extra content. That includes prompts, configurations, cookie consents, etc. " image: "" video: "" url: "/docs/standard/components/modal/" menu: components: name: "Modal" --- {{< example lang="html" title="Small modal">}}
I always felt like I could do anything. That’s the main thing people are controlled by! Thoughts- their perception of themselves! They're slowed down by their perception of themselves. If you're taught you can’t do anything, you won’t do anything. I was taught I could do everything.
I always felt like I could do anything. That’s the main thing people are controlled by! Thoughts- their perception of themselves! They're slowed down by their perception of themselves. If you're taught you can’t do anything, you won’t do anything. I was taught I could do everything.
I always felt like I could do anything. That’s the main thing people are controlled by! Thoughts- their perception of themselves! They're slowed down by their perception of themselves. If you're taught you can’t do anything, you won’t do anything. I was taught I could do everything.


Note: These docs are now for version 0.9.0 of Sails. Please visit here for 0.8.x documentation.
Your app's ACL (access control list) is located in config/policies.js.
To apply a policy to a specific action in particular, you should specify it on the right-hand side of that action:
{
ProfileController: {
edit: 'isLoggedIn'
}
}
To set the default policy mapping for a controller, use the *
notation:
Note: Default policy mappings do not "cascade" or "trickle down." Specified mappings for the controller's actions will override the default mapping. In this example,
isLoggedIn
is overridingfalse
.
{
ProfileController: {
'*': false,
edit: 'isLoggedIn'
}
}
Note: Global policy mappings do not "cascade" or "trickle down" either. Specified mappings, whether they're default controller mappings or for specific actions, will ALWAYS override the global mapping. In this example,
isLoggedIn
is overridingfalse
.
{
// Anything you don't see here (the unmapped stuff) is publicly accessible
'*': true,
ProfileController: {
'*': false,
edit: 'isLoggedIn'
}
}
This is the default policy mapped to all controllers and actions in a new project. In production, it's good practice to set this to
false
to prevent access to any logic you might have inadvertently exposed.
Allow public access to the mapped controller/action. This will allow any request to get through, no matter what.
module.exports = {
UserController: {
// login should always be accessible
login: true
}
}
NO access to the mapped controller/action. No requests get through. Period.
module.exports = {
MathController: {
// This fancy algorithm we're working on isn't done yet
// so we set it to false to disable it
someFancyAlgorithm: false
}
}
You can apply one or more policies to a given controller or action. Any file in your /policies
folder (e.g. authenticated.js
) is referable in your ACL (config/policies.js
) by its filename minus the extension, (e.g. 'authenticated'
).
module.exports = {
FileController: {
upload: ['isAuthenticated', 'canWrite', 'hasEnoughSpace']
}
}
To apply two or more policies to a given action, (order matters!) you can specify an array, each referring to a specific policy.
UserController: {
lock: ['isLoggedIn', 'isAdmin']
}
In each of the policies, the next policy in the chain will only be run if next()
, the third argument, is called. When and if the last policy calls next()
, the requested controller action is run.


A minimal introduction to “good old-fashioned” OpenGL 1
It may be worth seeing how things used to be done, because although it is less flexible or efficient than OpenGL 2.0+, in many ways it is easier to learn. OpenGL 2.0 might also be easier to grasp after understanding the older way.
The first thing to learn is that OpenGL is highly stateful. For example, gl.Color() will set the current color, and any geometry drawn after it will use that color, until another gl.Color() changes it. You can think of it like the current brush in your hand. OpenGL also uses state to store spatial transformations, such as the view and object (gl.MODELVIEW) and the current perspective (gl.PROJECTION).
Geometry
Geometry in OpenGL (all versions) is specified as a series of vertices, where each vertex has a position in space, and possibly other attributes such as color, texture coordinate, normal direction, and so on. Vertices simply define a set of points, but we can instruct OpenGL to interpret them as surfaces (or lines, or points) using the following constants:
In OpenGL 1 this is done using the `gl.Begin()
call, e.g. gl.Begin(gl.LINES). After a gl.Begin() we can issue a number of vertices using gl.Vertex(), and finally finish our shape using gl.End():
local gl = require "gl" function draw() gl.Color(1, 1, 1) gl.Begin(gl.LINES) gl.Vertex(0, 0, 0) gl.Vertex(1, 1, 0) gl.End() end
To change attributes of each vertex, we must call the attribute setters before the corresponding gl.Vertex():
local gl = require "gl" function draw() gl.Begin(gl.LINES) gl.Color(0, 0, 1) gl.Vertex(0, 0, 0) gl.Color(1, 0, 0) gl.Vertex(1, 1, 0) gl.End() end
Some common geometries for 2D rendering have been abstracted in the draw2D.
Transformation stacks
If we want to render the same geometry at different locations, scales and rotations in space, we would normally have to recalculate the positions of each argument to each gl.Vertex(). Instead, OpenGL provides transformation stacks. The default stack is the gl.MODELVIEW stack, which represents the current location, scale and orientation of geometry in the world. You can translate, rotate and scale the modelview. You could think of translation as meaning changing the ‘start point’ (in mathematical terms, the “origin”) of drawing. Or you could think of it as moving the underlying “graph paper” that we are drawing onto. Similarly for the rotating the paper, or scaling it.
It’s easier to see this via the draw2D module:
local draw2D = require "draw2D" function draw() draw2D.translate(-1, 0) draw2D.scale(0.5, 0.5) draw2D.color(1, 0, 0) draw2D.rect(0, 0, 1, 1) draw2D.color(1, 1, 0) draw2D.ellipse(0, 0, 1, 1) end
Unlike gl.Color(), draw2D’s translate(), scale() and rotate() do not replace the previous values; instead they accumulate on top of each other into a hidden state called the transformation matrix, which is a fancy name for how we get from the coordinate system in which we are currently drawing to the coordinate system of the actual output pixels.
Note that the order of transformations is important: translate followed by scale is quite different to scale followed by translate. For controlling an object, usually the order used is “translate, rotate, scale”.
The transformation stack is called a stack because you can push and pop it:
Pushing the stack allows you to modify the transformation temporarily, and then later pop back to the previous state. Usually OpenGL provides up to 16 possible transformations on the stack.
local draw2D = require "draw2D" function draw() draw2D.push() draw2D.translate(-1, 0) draw2D.scale(0.5, 0.5) draw2D.color(1, 0, 0) draw2D.rect(0, 0, 1, 1) draw2D.pop() draw2D.color(1, 1, 0) draw2D.ellipse(0, 0, 1, 1) end
For more complex transformations, and 3D transformations, use gl.LoadMatrix() (to replace the previous value) or gl.MultMatrix() (to accumulate with the previous value) in combination with one of the matrix transform generators in the mat4 module:
-- this does the same thing as the previous script: local gl = require "gl" local draw2D = require "draw2D" local mat4 = require "mat4" function draw() gl.PushMatrix() gl.LoadMatrix(mat4.translate(-1, 0, 0)) gl.MultMatrix(mat4.scale(0.5, 0.5, 1)) draw2D.color(1, 0, 0) draw2D.rect(0, 0, 1, 1) gl.PopMatrix() draw2D.color(1, 1, 0) draw2D.ellipse(0, 0, 1, 1) end
With this we can easily now create ideal visual forms, and then create instances of these forms with different position, scale and rotation, however we please. We're about ready for some generative design…
Warning: if you want to do something computational according to the position, it’s better not to use the OpenGL transformation stack, as it does not give you access to the computed position. Instead you'll have to compute it manually…


This is an example of a basic Line chart. It has two datasets configured
(hence there being two lines), has a title, key and is animated by using
the Line chart trace()
effect. It uses carriage returns (\r\n
)
along with a none-breaking whitespace character (a unicode character)
in order to span the labels over two lines.
 Put this where you want the chart to show up:

This is the code that generates the chart - it should be placed AFTER the

tag:


We are a dedicated group of hard working entrepreneurs, ready to take your business above and beyond.
We will fulfill your needs no matter what niche your business is in and make a website that you and your customers will love and enjoy.


Protean
Home
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v
0.5.0
Community
Contributing to Protean.
The Team
Committers
Colin Fairless
Nick Featch
Ross McDonald
Contributors
Chris McDevitt
Kevin Stewart


Wifi: TBD
Pass: TBD
You should have a paper handout. It contains:
These training instances will be up for
30 days so you can keep experimenting!
The repo is open source and available on GitHub:
https://github.com/fourkitchens/advanced-rwd
We've got a typo. Could you fix it for us?
Open this file:
/index.html
Fix this typo:

Welcome to the worst training ever!

Sass is a language construct to create CSS
It makes writing awesome CSS easier
Sass has TWO syntaxes:
.sass
and .scss
.sass
- whitespace sensitive
// .sass
.my-selector
font-size: 2em
background: #333
font-family: $monospace
// .scss
.my-selector {
font-size: 2em;
background: #333;
font-family: $monospace;
}
.scss
- superset of CSSWe'll be covering Sass basics using SassMeister.com
$blue: #00ff00;
$monospace: "Source Code Pro", "Courier New", monospace;
$default-fontsize: 1em;
$default-padding: 2 * $default-fontsize;
Sass lets you use variables to store values.
@function pixel-to-em($pixel, $font-size: 16px) {
@return $pixel / $font-size * 1em;
}
Functions return a single value, just like PHP or JS
// Define
@mixin button-make($color: #66B360) {
background-color: $color;
border: 2px solid lighten($color, 20%);
}
// Call
.button-one {
@include button-make;
}
// Call with arguments
.button-two {
@include button-make($color-facebook);
}
Mixins are similar to functions, except they return blocks of CSS.
// Sass
.message {
margin: 1em;
padding: 1em;
font-size: 1.2em;
}
.error {
@extend .message;
color: #060;
}
/* CSS */
.message, .error {
margin: 1em;
padding: 1em;
font-size: 1.2em;
}
.error {
color: #060;
}
Extendables allow you to build upon a common style.
style.scss
_variables.scss
// style.css
@import 'partials/variables';
/*
* This is a standard, multi-line comment
* that will appear in your final .css file
*
* Use multi-line comments to mark major headings or partials
*/
// Single-line comments will NOT appear in your final .css file
// Use single-line comments for developer notes
Generally, we leave a standard, multi-line comment on the top of each partial. This will help with debugging because we will always know what partial we are looking at.
Compass is a meta-framework for Sass
Provides useful mixins and functions
Includes plugin framework to allow
for community written extensions
| HTML | CSS |
| PHP | Sass |
| Drupal | Compass |
| Modules | Extensions |
ul {
@include pretty-bullets('bullet.png');
}
ul {
margin-left: 0;
}
ul li {
padding-left: 14px;
background: url('../img/bullet.png') no-repeat -12px -12px;
list-style-type: none;
}
In this case, the mixin allows the use of a "pretty" image for your bullets.
These are Ruby gems, just like Sass and Compass.
Toolkit bundles lots of this stuff together.
When working on different computers, developers, or even projects, there will always be an issue with ruby gems changing between different versions.
We want to make sure that we know which versions of each gem we are using to prevent compiling differences and errors. Bundler allows us to do just that. But first, we need to make sure we have Bundler installed:
gem install bundler
One time bundler setup:
mkdir ~/.bundle
echo 'BUNDLE_PATH: vendor/bundle' >> ~/.bundle/config
This will install all gems into your working directory, allowing you to have different gem versions.
The Gemfile
that comes with the project will tell Bundler exactly what versions of what gems to use. Use the following command to create a Gemfile.lock
file within your theme to install gem dependencies you may not already have and to lock each gem version.
bundle install
You should NEVER run "sudo bundle install"
From now on, instead of running "compass watch" or "compass compile", you can use:
bundle exec compass watch
And bundler will only use the gem versions selected within the .lock file
// If the window is at least 500px wide...
@media (min-width: 500px) { ... }
// If the window is less than 785px wide...
@media (max-width: 785px) { ... }
// If the user is printing the page...
@media print { ... }
// If the window is in between 520px and 699px...
@media all and (min-width: 520px) and (max-width: 699px) { ... }
Breakpoint is a Compass extension. It makes
media queries much easier to maintain.
$nav-lg: 680px;
.main-nav {
width: 100%;
@include breakpoint($nav-lg) {
width: 60%;
margin: 0 auto;
}
}
.main-nav {
width: 100%;
}
@media (min-width: 680px) {
.main-nav {
width: 60%;
margin: 0 auto;
}
}
Boil down most media queries to one simple value.
Assign that value a meaningful name.
You keep all the styles for a component in one place
Manage media queries by purpose and context.
CSS-only fallback system. No need for respond.js
Pass Breakpoint just a number and you get a min-width query.
// THIS IS OUR FIRST BREAKPOINT VARIABLE
$basic: 500px; // <-- YUP, THIS ONE
#main-nav {
width: 100%
@include breakpoint($basic) {
width: 75%;
}
}
#main-nav {
width: 100%
}
@media (min-width: 500px) {
#main-nav {
width: 75%;
}
}
Two values creates a min-width / max-width query.
$big-header: 330px 750px;
#header {
font-size: 2em;
@include breakpoint($big-header) {
font-size: 2.5em;
}
}
#header {
font-size: 2em;
}
@media (min-width: 330px) and (max-width: 750px) {
#header {
font-size: 2.5em;
}
}
If one value is a string, assume a feature/value pair
$too-damn-wide: max-width 1000px;
#hero-image {
max-width: 100%;
margin: 2em 0;
@include breakpoint($too-damn-wide) {
margin: 0.5em 0;
}
}
#hero-image {
max-width: 100%;
margin: 2em 0;
}
@media (max-width: 1000px) {
#fifty-seven-chevy {
margin: 0.5em 0;
}
}
String them together to create more complex queries
$tighten-text: (max-width 1000px) (orientation portrait);
#main-article {
font-size: 1em;
line-height: 1.375;
@include breakpoint($tighten-text) {
line-height: 1.25;
}
}
#main-article {
font-size: 1em;
line-height: 1.375;
}
@media (max-width: 1000px) and (orientation: portrait) {
#pappas {
line-height: 1.25;
}
}
Breakpoint can also output fallbacks for when no media queries are present, such as in IE<9
$breakpoint-no-query-fallbacks: true;
$nav-lg: 500px, 'no-query' '.lte-ie8';
nav {
@include breakpoint($nav-lg) {
width: 60%;
margin-right: 4%;
}
}
@media (min-width: 500px) {
nav {
width: 60%;
margin-right: 4%;
}
}
.lte-ie8 nav {
width: 60%;
margin-right: 4%;
}
Just add a conditional class to your
element
Create a media query that will increase the body's font size when:
min-width
Create a media query that will change the color scheme when:
Output media queries in em
units.
Create a media query that will change to a third color scheme when:
max-height
in portrait*, *:before, *:after { @include box-sizing('border-box'); }
12 column grid
Each column is 60px wide
Each gutter is 20px wide
10px side gutter
960px Centered Container
$grids: 12; // Number of Columns
$gutters: 1/3; // Gutter to Column ratio, 20px/60px = 1/3
Out of the box, Singularity offers two output styles, float and isolation. The default output style is isolation, but we're going to change it float for now as it will be more familiar to begin with.
$output: 'float';
Align to columns using Grid Span:
@include grid-span($span, $position);
$span
is the number of columns to span
$position
is what column to start from
#container {
max-width: 960px; // Outer Container
padding: 0 10px; // Side Gutter
margin: 0 auto; // Center Container
@include clearfix; // Have container clear floats properly
}
.left {
@include grid-span(6,1);
}
.right {
@include grid-span(6,7);
}
Create a Basic Symmetric Grid

Attach Items to the Grid
Change Visual Order Without Changing Source Order
Grids should work with the content itself, not impose a class structure. We should not limit ourselves to a 12 column layout with four breakpoints.
Instead, let's design our sites around the content, creating awesome mobile-first layouts.
In short: We deserve better.
 TIME FOR A BREAKPOINT! @stephenhay #bdconf
— Brad Frost (@brad_frost) April 16, 2012
This is the opposite of using a framework like
Twitter Bootstrap, where the grid is pre-defined.
Grids provide order to your design
and structure to your information.
The ideal grid is specific to your content and
your design, since it is an extension of both.
Within singularity you can create completely different grids for different breakpoints.
You can also customize each section of the site completely, creating sub-structure within a block of content.
Grids where the columns are not the same size
Custom grids for each design allow for more unique designs to better highlight your content
Singularity Extras is very useful when working with asymmetric grids
Custom - Any asymmetric grid created to suit your needs
Compound - Created by combining symmetric grids
Ratio - Each column is derived from the previous according to a ratio
Ratio Spiral - Columns are generated based on an overlaid spiral
Snap - Asymmetric grid that takes into account an overlaid symmetric grid's gutters
// List of column width in relation to each other
$grids: 5 2 3 3 7 9;
// List of symmetric grids to compound together
$grids: compound(3, 4);
// Ratio and number of columns
$grids: ratio(golden(), 4);
// Number of columns and ratio
$grids: ratio-spiral(5, golden());
// Asymmetric grid and the gutter width of the grid to snap to.
$grids: snap(2 4 4 2, 1/3);
Settings $grids and $gutters set a global context for them, making them available to use without redeclaring them each time they're needed.
You can set different global contexts to use at different min-width breakpoints
$grids: 12;
$grids: add-grid(2 8 2 at 500px);
$gutters: 1/3;
$gutters: add-gutter(1/4 at 532px);
When using the breakpoint mixin, Singularity is able to determine which global context you'd like and subsequently use the correct one when you use the grid-span mixin
$grids: 2;
$grids: add-grid(4 at 475px);
$gutters: 1/6;
#nav {
width: 100%;
@include breakpoint(500px) {
@include grid-span(3, 2);
}
}
If you need to override the global contexts, for instance if you need to nest a grid and therefore change the grid you're using, use the layout mixin
$grids: 12;
$gutters: 1/3;
#main {
@include grid-span(8, 1);
@include layout(8) {
.left {
@include grid-span(4, 1);
}
.right {
@include grid-span(4, 5);
}
}
}
Create a Ratio Based Grid
singularity-extras
to your Gemfile and install through Bundler. The version should be <1.0.0
.singularity-extras
in your config.rb
file and import singularity-extras
generators into your stylesheetsgrid-span
calls, they're going to break while we drastically change our gridsCreate a Medium Layout
min-width
to switch from one column to multiple columnsCreate a Large Layout
min-width
to switch from two columns to three columnsToolkit has been providing for us our box model fix and our fluid images, but it can do so much more
Designed not as a CSS Framework, but rather a set of tools to build your own, Toolkit makes doing things the right way the easy way
Provided by Toolkit by default, the basic way to get images to squish and maintain their dimensions is fairly easy CSS
img, video {
max-width: 100%;
height: auto;
}
But Embedded Content Isn't So Easy
Intrinsic Ratios are a CSS technique that allow you to constrain child elements to a ratio and percentage of its parent
// Intrinsic Ratio mixin comes from [Toolkit](https://github.com/team-sass/toolkit)
.ratio-16-9 {
@include intrinsic-ratio;
}
.ratio-4-3 {
@include intrinsic-ratio(4/3);
}
Create an Intrinsic Ratio for the Video
display: none
.Create a CSS Carousel
start
animationInline Media
min-width
and the point you go from one column to two columns, create a fenced query for inline mediaWe'd really appreciate your thoughts about today
so we can continue improving this course.
Surveys are being handed out so you can provide
us with feedback in an anonymous fashion.
We appreciate your honest opinion.
It helps us improve the material.


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Supervised learning (classification)
Data science problem: Recognize hand written digits from images.
A real world example would be recognizing hand written zip codes on mails so that they can be sorted by a machine according to their destinations. This would help the postal service to greatly reduce the costs associated with mail handling.
Steps of our data science process:
- Set the research goal: Let computer to recognize numbers from images
- Acquire data: We will be using MNIST data set which is available in the internet
- Prepare data: Standardize images so that they are all the same size
- Build model: Build a classification model
- Presentation: Report the results
1. Research goal
We want to train a model that can recognize hand written digits from images.
Quick tutorial on downloading and unzipping files from webpages
1a. Download using requests
library
import requests
url = "http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"
filename = url.split("/")[-1]
with open(filename, "wb") as f:
r = requests.get(url)
f.write(r.content)
f.name
'train-labels-idx1-ubyte.gz'
1b. Unzip using gzip
library
import gzip
with gzip.open(filename, 'rb') as f:
file_content = f.read(16) # read first 16 lines
print(file_content)
b'\x00\x00\x08\x01\x00\x00\xea`\x05\x00\x04\x01\t\x02\x01\x03'
2a. Download using shell commands
!curl -O http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 28881 100 28881 0 0 644k 0 --:--:-- --:--:-- --:--:-- 641k
2b. Unzip using shell command
!gunzip -c train-labels-idx1-ubyte.gz > train-labels.dat
2. Acquire data
Download files. (There are 4 separate files)
!curl -O http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz # training set images
!curl -O http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz # training set labels
!curl -O http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz # test set images
!curl -O http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz # test set labels
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 9680k 100 9680k 0 0 8720k 0 0:00:01 0:00:01 --:--:-- 8728k
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 28881 100 28881 0 0 674k 0 --:--:-- --:--:-- --:--:-- 687k
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1610k 100 1610k 0 0 4283k 0 --:--:-- --:--:-- --:--:-- 4282k
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 4542 100 4542 0 0 151k 0 --:--:-- --:--:-- --:--:-- 152k
Extract files and rename them.
!gunzip -c train-images-idx3-ubyte.gz > train-images.dat
!gunzip -c train-labels-idx1-ubyte.gz > train-labels.dat
!gunzip -c t10k-images-idx3-ubyte.gz > test-images.dat
!gunzip -c t10k-labels-idx1-ubyte.gz > test-labels.dat
Read binary data into separate lists. Repeat for each dataset.
def load_binary_data(filename):
data = []
with open(filename, 'rb') as f:
file_content = f.read()
for line in file_content:
data.append(line)
return data
train_images = load_binary_data('train-images.dat')
train_labels = load_binary_data('train-labels.dat')
test_images = load_binary_data('test-images.dat')
test_labels = load_binary_data('test-labels.dat')
Let’s take a look at what the data looks like:
train_images[:20]
[0, 0, 8, 3, 0, 0, 234, 96, 0, 0, 0, 28, 0, 0, 0, 28, 0, 0, 0, 0]
train_labels[:20]
[0, 0, 8, 1, 0, 0, 234, 96, 5, 0, 4, 1, 9, 2, 1, 3, 1, 4, 3, 5]
It looks like there is some overhead/header in the beginning of the data. Let’s figure out how long the overhead is. There must be 60,000 images in training set and 10,000 images in test set. Image resolution is 28x28, so one image is represented by 28*28=784
pixels. Overall, the size of the training data must be 784*60000
, and so on.
print('Checking the size of overhead in images:')
print('Training: ', len(train_images) - 784*60000)
print('Test: ', len(test_images) - 784*10000)
print('')
print('Checking the size of overhead in labels')
print('Training: ', len(train_labels) - 60000)
print('Test: ', len(test_labels) - 10000)
Checking the size of overhead in images:
Training: 16
Test: 16
Checking the size of overhead in labels
Training: 8
Test: 8
Looks like we need to get rid of the first 16 values from images and 8 values from labels.
3. Prepare data
Discard leading data (16 from images, 8 from labels)
train_images = train_images[16:]
test_images = test_images[16:]
train_labels = train_labels[8:]
test_labels = test_labels[8:]
Our training and test sets are long arrays (lists), so if we want to plot images, we have to convert it back to its 2D-array form.
import numpy as np
train_images = np.array(train_images).reshape((-1,28,28)) # -1 means no constraint on the size of depth as long as the row and column sizes are 28
test_images = np.array(test_images).reshape((-1,28,28))
print('Training set shape: ', train_images.shape)
print('Test set shape: ', test_images.shape)
Training set shape: (60000, 28, 28)
Test set shape: (10000, 28, 28)
Let’s see first few images in training set:
%matplotlib inline
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
for i in range(1, 11):
plt.subplot(2, 5, i)
plt.axis('off')
plt.imshow(train_images[i-1], cmap=plt.cm.gray_r, interpolation=None)
plt.show()
And these are the corresponding labels:
print(train_labels[:10])
[5, 0, 4, 1, 9, 2, 1, 3, 1, 4]
4. Model selection
a. Initial investigation
The data is ready to use in a model. We are going to go ahead and perform classification on a smaller version of the dataset (6000 samples) just to make sure that we are on the right track.
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import confusion_matrix
# We are going to use a small portion of the dataset for initial investigation
X = train_images[:6000]
y = train_labels[:6000]
# Reshape the images data set so that it has observations in the rows and features in the columns.
n_samples = len(X)
X = X.reshape((n_samples, -1))
# Split data into training and test sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)
Now let’s perform classification and see the results. We will employ 3 different algorithms.
from sklearn import neighbors, linear_model, naive_bayes
knn = neighbors.KNeighborsClassifier()
nb = naive_bayes.GaussianNB()
logistic = linear_model.LogisticRegression(solver='liblinear', max_iter=1000, multi_class='ovr', verbose=0)
print('KNN score: %f' % knn.fit(X_train, y_train).score(X_test, y_test))
print('Naive Bayes score: %f' % nb.fit(X_train, y_train).score(X_test, y_test))
print('LogisticRegression score: %f' % logistic.fit(X_train, y_train).score(X_test, y_test))
KNN score: 0.936364
Naive Bayes score: 0.633838
LogisticRegression score: 0.834848
We achieved a high accuracy using KNN. However, 28x28 pixel resolution is very high with a feature size of 784. But do we really need all 784 features? Maybe we can do the same if not better using fewer features. We can try resizing the image, for example to a 10x10 resolution.
Let’s see how we can change the resolution of the digit images.
b. Dimension reduction
We are going to use the Scikit-image
module to resize the images and see what they look like.
Quick tutorial on resizing images using Scikit-image
import warnings
warnings.filterwarnings('ignore')
from skimage.transform import rescale, resize, downscale_local_mean
image = train_images[0]
image_rescaled = rescale(image, 0.25, anti_aliasing=False)
image_resized = resize(image, (image.shape[0] // 4, image.shape[1] // 4), anti_aliasing=True)
image_downscaled = downscale_local_mean(image, (4, 4))
fig, axes = plt.subplots(nrows=2, ncols=2)
ax = axes.ravel()
ax[0].imshow(image, cmap='gray')
ax[0].set_title("Original image")
ax[0].axis('equal')
ax[0].axis('off')
ax[1].imshow(image_rescaled, cmap='gray')
ax[1].set_title("Rescaled image (aliasing)")
ax[1].axis('equal')
ax[1].axis('off')
ax[2].imshow(image_resized, cmap='gray')
ax[2].set_title("Resized image (no aliasing)")
ax[2].axis('equal')
ax[2].axis('off')
ax[3].imshow(image_downscaled, cmap='gray')
ax[3].set_title("Downscaled image (no aliasing)")
ax[3].axis('equal')
ax[3].axis('off')
plt.show()
It looks like rescaling image with anti-aliasing filter or downsampling the image might work. Downsampling is easier because it can resize an N-dimensional numpy array. We will need to play with its parameters to see which one suits best to our needs.
# Downsample the images and repeat classification
X = train_images[:6000] # Choose a small portion
X = downscale_local_mean(X, (1, 3, 3)) # Downsample at 1/3 (10x10 resolution)
X = X.reshape((n_samples, -1)) # Reshape to 2D array
# Split data into training and test sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)
# Run classification algorithms
print('KNN score: %f' % knn.fit(X_train, y_train).score(X_test, y_test))
print('Naive Bayes score: %f' % nb.fit(X_train, y_train).score(X_test, y_test))
print('LogisticRegression score: %f' % logistic.fit(X_train, y_train).score(X_test, y_test))
KNN score: 0.950505
Naive Bayes score: 0.605556
LogisticRegression score: 0.901515
print('Original feature size', 28*28)
print('Resized feature size', X[0].shape[0])
Original feature size 784
Resized feature size 100
We achieved an even better accuracy using only 100 features! This is important because we can greatly reduce the computation cost of our classification and maybe try complex algorithms that normally takes a long time to run.
Now the next step is using the entire dataset to build and test our final classification model. We are going to use KNN classifier. First, using our small sample set, let’s decide which k value works the best.
for k in range(1,21):
knn = neighbors.KNeighborsClassifier(n_neighbors=k)
acc = knn.fit(X_train, y_train).score(X_test, y_test)
print(acc)
plt.scatter(k, acc, c='blue')
0.945959595959596
0.9444444444444444
0.9489898989898989
0.946969696969697
0.9505050505050505
0.9494949494949495
0.9464646464646465
0.9404040404040404
0.9388888888888889
0.9393939393939394
0.9363636363636364
0.9363636363636364
0.9368686868686869
0.9378787878787879
0.9323232323232323
0.9318181818181818
0.9282828282828283
0.9282828282828283
0.9262626262626262
0.9262626262626262
We conclude that k=5
performs slightly better.
c. Final model
# Resize data
from skimage.transform import downscale_local_mean
X_train = downscale_local_mean(train_images, (1, 3, 3)) # Downsample at 1/3 (10x10 resolution)
X_test = downscale_local_mean(test_images, (1, 3, 3)) # Downsample at 1/3 (10x10 resolution)
# Reshape data
X_train = X_train.reshape((len(X_train), -1))
y_train = train_labels
X_test = X_test.reshape((len(X_test), -1))
y_test = test_labels
# Classify
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import confusion_matrix, accuracy_score, classification_report
knn = KNeighborsClassifier(n_neighbors=5) # build model
knn.fit(X_train, y_train) # fit training set
predicted = knn.predict(X_test) # predict test set
5. Report and present the results:
print('Test accuracy: ', accuracy_score(y_test, predicted))
Test accuracy: 0.9676
print(confusion_matrix(y_test, predicted))
[[ 973 1 1 0 0 1 3 1 0 0]
[ 0 1128 3 1 0 0 1 1 1 0]
[ 8 2 997 4 0 0 2 14 5 0]
[ 1 5 7 965 1 12 0 5 12 2]
[ 1 3 3 0 939 0 2 1 1 32]
[ 4 2 0 14 2 855 6 2 4 3]
[ 5 4 0 0 2 2 944 0 1 0]
[ 0 20 7 0 2 0 0 985 1 13]
[ 3 2 4 9 8 6 4 5 926 7]
[ 2 9 3 6 12 3 2 4 4 964]]
print(classification_report(y_test, predicted))
precision recall f1-score support
0 0.98 0.99 0.98 980
1 0.96 0.99 0.98 1135
2 0.97 0.97 0.97 1032
3 0.97 0.96 0.96 1010
4 0.97 0.96 0.96 982
5 0.97 0.96 0.97 892
6 0.98 0.99 0.98 958
7 0.97 0.96 0.96 1028
8 0.97 0.95 0.96 974
9 0.94 0.96 0.95 1009
accuracy 0.97 10000
macro avg 0.97 0.97 0.97 10000
weighted avg 0.97 0.97 0.97 10000
Visual representation of actual numbers and predictions:
fig=plt.figure(figsize=(10, 8))
for i, (image, prediction) in enumerate(zip(X_test.reshape((-1,10,10))[:10], predicted[:10])):
plt.subplot(2,5,i+1)
plt.axis('off')
plt.imshow(image, cmap='Greys_r', interpolation='nearest')
plt.title('Prediction: %i' % prediction)
plt.tight_layout()
plt.show()
Resources
- D. Cielen, A. Meysman, M. Ali, Introducing Data Science: Big Data Machine Learning and more using Python tools, Manning Publications.
- Scikit-learn: Machine Learning in Python, Pedregosa et al., JMLR 12, pp. 2825-2830, 2011.
- Y. LeCun, C. Cortes, and C.J.C Burges. The MNIST Database (yann.lecun.com/exdb/mnist/ accessed on 2019).
Link to GitHub repo
You can download the Jupyter Notebook file from here.


ntpdate
- set the date and time via NTP
ntpdate [ -bBdoqsuv ] [ -a key ] [ -e authdelay ] [
-k keyfile ] [ -o version ] [ -p samples ] [ -t
timeout ] server [ ... ]
ntpdate
sets the local date and time by polling the
Network Time Protocol (NTP) server(s) given as the server
arguments to determine the correct time. It must be run as root on the
local host. A number of samples are obtained from each of the servers
specified and a subset of the NTP clock filter and selection algorithms
are applied to select the best of these. Note that the accuracy and
reliability of ntpdate
depends on the number of servers,
the number of polls each time it is run and the interval between runs.
ntpdate
can be run manually as necessary to set the host
clock, or it can be run from the host startup script to set the clock at
boot time. This is useful in some cases to set the clock initially
before starting the NTP daemon xntpd
. It is also possible
to run ntpdate
from a cron
script. However, it
is important to note that ntpdate
with contrived
cron
scripts is no substitute for the NTP daemon, which
uses sophisticated algorithms to maximize accuracy and reliability while
minimizing resource use. Finally, since ntpdate
does not
discipline the host clock frequency as does xntpd
, the
accuracy using ntpdate
is limited.
Time adjustments are made by ntpdate
in one of two ways.
If ntpdate
determines the clock is in error more than 0.5
second it will simply step the time by calling the system
settimeofday()
routine. If the error is less than 0.5
seconds, it will slew the time by calling the system
adjtime()
routine. The latter technique is less disruptive
and more accurate when the error is small, and works quite well when
ntpdate
is run by cron
every hour or two.
ntpdate
will decline to set the date if an NTP server
daemon (e.g., xntpd
) is running on the same host. When
running ntpdate
on a regular basis from cron
as an alternative to running a daemon, doing so once every hour or two
will result in precise enough timekeeping to avoid stepping the clock.
-a key
ntpdate
. The keys and key identifiers must match
in both the client and server key files. The default is to disable the
authentication function.
-B
-b
-d
ntpdate
will go
through all the steps, but not adjust the local clock. Information
useful for general debugging will also be printed.
-e authdelay
xntpd
for details). This number is usually small enough to
be negligible for most purposes, though specifying a value may improve
timekeeping on very slow CPU's.
-k keyfile
/etc/ntp.keys
. This file
should be in the format described in xntpd
.
-o version
ntpdate
to be used with older NTP versions.
-p samples
-q
-s
syslog
facility. This is designed primarily for
convenience of cron
scripts.
-t timeout
-u
ntpdate
to use an unprivileged port or outgoing
packets. This is most useful when behind a firewall that blocks incoming
traffic to privileged ports, and you want to synchronise with hosts
beyond the firewall. Note that the -d
option always uses
unprivileged ports.
-v
ntpdate
's version
identification string to be logged.
/etc/ntp.keys
- encryption keys used by
ntpdate
.
The slew adjustment is actually 50% larger than the measured offset,
since this (it is argued) will tend to keep a badly drifting clock more
accurate. This is probably not a good idea and may cause a troubling
hunt for some values of the kernel variables tick
and
tickadj
.


Hello,
welcome to the GoonSwarm Mumble server.
For this we are deeply grateful.
Please enter your name below and press Submit 1. You should keep this window open until you are sure you don't need it anymore.
1: submit (səbˈmɪt) - to yield (oneself), as to the will of another person, a superior force, etc


Home
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We are Learning to become Software Developers
Tribute Page
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Tic Tac Toe Game
How do you take your coffee?


This week you will be learning more about Qualys and your new role - Exciting! First things first, take sometime to set up your space, meet your new co-workers and your way around the office - knowing where the coffee is, is very important. Once you have gotten a little more settled in, start checking off your task list below and begin the Self Pace Study.
Lorem ipsum...
Lorem ipsum...
Days 2 - 7 will be Self Pace Courses that introduce you to the core products and strategies. Today you'll begin Vulnerability Management. See video below:
Who we are and what we do.
Who we are and what we do.


Create Professional Looking Buttons with CSS3
From Boston PHP: Create professional looking buttons with CSS3. Join Jen Strickland as she shows you great solutions to make buttons and links look and feel very professional - all with CSS. Whatever you do, don't waste time creating images as buttons and links. These solutions use CSS and allow you to easily implement design and terminology changes on your sites. It's not too hard to do, but once implemented, you will love the results. Jen will show and demonstrate most of these solutions and then show you some of the better ones with live working code so everyone can follow along.
- Review and demo of leading CSS button solutions
- Live coding example adding CSS buttons to a site
- Discussion and your questions


Black
is the color of the hidden, the secretive and the unknown, creating an air of mystery. It keeps things bottled up inside, hidden from the world.


{% extends "basic.html"%} {% block body %}
OUR OUTLOOK
We traced that the need for construction is one of the main reasons for cutting down the trees.
Construction of flyovers harms a huge tree population.
This prompts us with the root cause - TRAFFIC.
A dataset of 20 years of traffic density in every area has been taken.
Based on the pattern of growth, we predict the traffic density in any year in the near future.
It helps you analyse the need for construction and thus level of Deforestation
Once we know the area of attack, we will spot the trees in danger using Object Detection techniques on Satellite Images.
No.of trees to be cut will be estimated.
We will also identify arable lands through the YOLO algorithm.
The same or more no.of saplings will be planted in the arable land in that same area.
Thus,by the time the trees get cut down,the saplings will grow.Thereby striking an Oxygen balance.


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Nodal / In 9 Selects node of engaged segment
Engage a segment on a node by pressing A or Q - Q.
Press 9 to add only the node of the engaged segment.
The node coincident with the cursor is added to the set.
Nodal / OUT 9 UN-Selects node of engaged segment


AquaPi
Aquarium controller and monitor
Water level
"
Daylight Schedule
Manual control of lights
Day lights On
Day lights Off
Night lights On
Night lights Off
Fish Feeder
Feed 1
Feed 2


Create a 'WeTheDj' folder in your company's smartfile account and upload your music into the folder.
Once your music is uploaded, It'll automatically be listed. You and everyone with access to the folder will be able to select what they want to hear by voting.
The song with the most votes is placed at the top of the playlist and played for everyone to enjoy before the next most-voted song comes on.


--- layout: default ---
We are the myth making, magic talking, universe exploring, creature creating, folk lore book keepers.
In plain this is a mind dump. Covering vast spans of thoughts, ideas, dreams, and stories. If it pops up in my head? It might appear.  It might appear. If it casts doubt on life, existence, or the universe? it might appear. Everything else... is fair play too.
I prefer this sphere, over all others for a writing space. No other is as free, or as open as the github landscape. Anything goes, and freedom of creation feels more real in this landscape than any other. So I prefer to call this my home for my Story Corner.
The stories, tales, and thoughts within are makings of the mind. No one was hurt. Some are remakes, some are remixes, some are puns, and none should be taken seriously. The mind is only as dangerous as you let it be. With that said, if you enjoy what comes about.. follow if you enjoy.
Leveraging the jekyll doc theme I sped up the build process for my blog. and going to my github you can too. As I progressively enhance it, I hope to make to it a better product than I left it. github repos.


Demonstration app for angularjs-server
Boston Photo by Bill Damon
New York Photo by Anthony Quintano
Portland Photo by Ray Terrill
San Francisco Photo by Kenneth Lu
Seattle Photo by Anupam_ts
All Photos Under Creative Commons Licences
Permitting Commercial Use


We would like to introduce ourselves as a leading Trader and Exporter for all types of Spring Steel Strips and Wires such as Medium & High Carbon, Hardened & Tempered Strips, Mild Steel, CR & HR Coils & Sheet, C-45, Stainless Steel, Structural Steel, Alluminium, Copper, P.B.Sheets… in various grades and sizes as per our customers requirment.
We have Proper & Perfect source to procure the right quality material to cater our most valuable clients.
We cater our customers as per their specific requirments where we take the total precautions to serve them with
highest gurantee in quality at most reasonable price.
MS Bahubali Enterprise was established in 2007 by Mr. Rajiv Gandhi in Mumbai, India. Today M/s Bahubali Enterprise is a well know trader in all types of Spring Steel Strips and Wires Such as Medium & High Carbon, Hardened & Tempered Strips, Mild Steel, CR & HR Coils & Sheet, C-45, Stainless Steel, Structural Steel, Alluminium, Copper, P.B.Sheets.
Many grades of steel can be hardened and tempered to suit application as a spring; however, some steels exhibit more desirable characteristics for spring applications.
| HARDNESS CONVERSION TABLE | ||
|---|---|---|
| HRC | Hv | UTS |
| N/mm2 | ||
| 80 | 1865 | |
| 78 | 1710 | |
| 76 | 1556 | |
| 74 | 1400 | |
| 72 | 1245 | |
| 70 | 1076 | |
| 68 | ||
| 66 | 854 | |
| 64 | 88 | |
| 62 | 746 | |
| 62 | 746 | |
| 60 | 697 | 2335.6 |
| 58 | 653 | 2185.0 |
| 56 | 613 | 2058.5 |
| 54 | 577 | 1927.3 |
| 52 | 544 | 1814.9 |
| 50 | 513 | 1714.0 |
| 48 | 484 | 1613.5 |
| 46 | 458 | 1520.2 |
| HARDNESS CONVERSION TABLE | ||
|---|---|---|
| HRC | Hv | UTS |
| N/mm2 | ||
| 44 | 434 | 1441.5 |
| 42 | 412 | 1369.6 |
| 40 | 392 | 1297.8 |
| 38 | 372 | 1233.4 |
| 36 | 345 | 1140.1 |
| 34 | 335 | 1075.5 |
| 32 | 318 | 1017.1 |
| 30 | 302 | 959.9 |
| 28 | 286 | 909.8 |
| 26 | 272 | 866.15 |
| 24 | 260 | 825.2 |
| 22 | 248 | 788.8 |
| 20 | 238 | 731.3 |
| 16* | 222 | 674.3 |
| 12* | 204 | 623.8 |
| 8* | 187 | 87 |
| 4* | 173 | 79 |
| 0* | 156 | 73 |
| CARBON STEEL CHEMISTRY | ||||
|---|---|---|---|---|
| Grade | C | Mn | Si | S & P |
| C - 55 | 0.50 - 0.60 % | 0.60 - 0.90 % | 0.35 Max | 0.035 % Max |
| C - 62 | 0.60 - 0.67 % | 0.60 - 0.90 % | 0.35 Max | 0.035 % Max |
| C - 80 | 0.75 - 0.85 % | 0.60 - 0.90 % | 0.35 Max | 0.035 % Max |
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"DIBON "pining; wasting. (1.) A city in Moab (Numbers 21:30); called also Dibon-gad (33:45), because it was built by Gad and Dimon (Isaiah 15:9). It has been identified with the modern Diban, about 3 miles north of the Arnon and 12 miles east of the Dead Sea. (See Moabite Stone.)(2.) A city of the tribe of Judah, inhabited after the Captivity (Nehemiah 11:25); called also Dimonah (Joshua 15:22). It is probably the modern ed-Dheib.
"DIBON "pining; wasting. (1.) A city in Moab (Numbers 21:30); called also Dibon-gad (33:45), because it was built by Gad and Dimon (Isaiah 15:9). It has been identified with the modern Diban, about 3 miles north of the Arnon and 12 miles east of the Dead Sea. (See Moabite Stone.)(2.) A city of the tribe of Judah, inhabited after the Captivity (Nehemiah 11:25); called also Dimonah (Joshua 15:22). It is probably the modern ed-Dheib.


BY EDWIN JAHIEL
THE BRIBE (1949) * Directed by Robert Z. Leonard. Produced by Pandro S. Berman.Written by Marguerite Roberts from a story by Frederick Nebel. Cinematography, Joseph Ruttenberg. Editing, Gene Ruggiero. Music, Nacio Herb Brown (song),William Katz, Miklós Rózsa. Cast: Robert Taylor (Rigby), Ava Gardner, Charles Laughton, John Hodiak, Vincent Price, Samuel S. Hinds, John Hoyt, Tito Renaldo, Martin Garralaga, et al. An MGM film
For many years, Robert Taylor (1911-1969) was one of the top stars at MGM. He was internationally thought to be the handsomest actor in Hollywood. He did deserve to be called "the man with the perfect profile," and while not a performer of AAA caliber, he was very good.
Beginning in 1934 (at age 23) he was in a quick succession of movies. As the lead in the musical "Broadway Melody of 1936" (1935).he was popular, but it is with "Magnificent Obsession" (1935) that he became a star. Other films confirmed his status: "The Gorgeous Hussy" (1936) and above the super-romantic "Camille" (1937) where as Armand Duval he was cast opposite Greta Garbo. Other successes followed, culminating again with the World War I sad romance "Waterloo Bridge" (1940), with Viven Leigh. In subsequent movies -- in many genres -- his stature remained high, even though few of the pictures were truly superior. Some were indifferent. Some were stinkers.
"The Bribe" is in that last category. Still young at 39, Taylor looks good -- and that's all one can say about the film, which opens with one of the most-used clichés of film noir: the first-person narration that leads to a long flashback.
Taylor, named just Rigby, is a Federal agent. His superior calls him in. Taylor arrives wearing impeccable, expensive clothes of the kind that one mostly sees today (A.D. 2000) on TV network news hosts. Egged on by the movie's title, one might suspect that he has been taking bribes, but then his boss too is snappily dressed. Perhaps some research into Government employees in 1949 is in order.
Rigby is assigned an undercover job in Carlotta, a tropical island in Central America. Some clever racketeers purchase in the USA war surplus equipment as junk, but secretly too ship to Carlotta valuable airplane engines. The operations nets them millions, on which they pay no taxes to the US. Government. Since Carlotta is not a tourist place except for deep-sea fishing, Rigby will pose as a dedicated amateur fisherman.
The island is transparently one of those formulaic, generic and unconvincing studio sets. As usual, the central meeting place for locals and foreigners is an hotel with a restaurant, bar and music.
Too many of the clients are wearing (or holding) jackets in Carlotta's sweltering weather. It adds another phony note yet. And, of course, there is the "de rigueur" beautiful American torch singer who is stranded there. In this case she is Ava Gardner, who has an American husband, former wartime, then civilian airplane pilot John Hodiak. A basket case of disillusionment, he works as barman and is habitually in his cups. (Why do they keep him?) The cast is rounded out by a peculiar Charles Laughton with hurting feet, and the predictably villainous Vincent Price.
Adding to lack of genuineness is the hotel's band of Central American musicians who accompany Ava's singing. But you can sense immediately that the music is mostly provided by a large-ish, unseen studio orchestra.
Predictably Taylor and Gardner will fall for each other. What follows will not be told here except that it lacks shape, suspense, true romance, and any sort of interest. Neither Taylor nor Ava are convincing in their roles. What could be noted is that from the start of the film there is an enormous amount of smoking by all, even by the 1940s standards.
Ava Gardner's performance is a mediocre as everyone else's. Her singing is indifferent. The song she does is by composer Nacio (for " Ignacio") Herb Brown who contributed splendidly to many a film, and whose last picture was no other than "Singin' in the Rain." You wouldn't suspect this from the dullness of his song here. Nor does the score by another great talent, Miklos Rozsa, make a dent.
How the mighty can fall, at times! (Edwin Jahiel)
"Le mauvais gout mene au crime"(Stendhal)
Edwin Jahiel's film reviews are at: http://www.prairienet.org/ejahiel/
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


We provide language and cultural support for Portuguese.
To customize your system to recognize certain language and cultural conventions used in Portugal, such as date and time formats, currency format, and sorting order, please follow these steps:
or
Your system has one of several possible keyboards. Although ipanel
provides you with a default keyboard configuration, you should either
confirm the default or select a different configuration.
The standard keyboard shipped with most SGI systems can enter only ASCII characters by default. Configured as shipped, it does not allow Portuguese users to enter or use non-ASCII characters needed for Portuguese or certain other languages. However, the Portuguese location makes it possible to use non-ASCII characters with most system tools.
The "US ASCII with Compose key" keyboard layout is exactly like the default layout for the (101-key) US keyboard, except that the right Alt key (the key immediately to the right of the space bar) acts as a Compose key, which makes it possible to enter many non-ASCII characters. See the compose(5) and composetable(5) man pages for more information about using the Compose key.
Many systems sold in Portugal may include a keyboard designed for the Portuguese language. If your system has a Portuguese language keyboard, you should choose the Portuguese keyboard selection from the Language Controls panel; this will make your keyboard generate the characters that appear on each key. The right Alt key on the Portuguese keyboard selects alternate characters for many of the keyboard keys. Pressing Shift and the right Alt key and then releasing both keys activates the compose function, as described in compose(5), on the Portuguese keyboard.
If you are not certain which keyboard you have, first look at the Enter key. If your Enter key is rectangular, you have a US keyboard and should use the "US ASCII with Compose key" keyboard layout. If your Enter key is non-rectangular, you probably have a Portuguese keyboard.
If your keyboard has a non-rectangular Enter key, and selecting the Portuguese keyboard layout does not make it work properly, it is possible that you have a national keyboard for some other country. You can try each of the keyboard layouts listed in the Language Controls panel until you find the one that matches your layout, or contact your sales and support office for assistance.
For further assistance with language and cultural customization questions, please contact your local SGI representative.


My name is Harry Potter
My name is Hideaki Takizawa
My name is Steve Rogers
My name is Songpol Ruensuk


Your access key is listed at the homepage of Livestream Alerts.
This app syncs your Lists, as configured on your lists page on the website. Configure your lists there.


– See just how many socks you can expect to get with different parties in the Almost Weekly Santa Alter 2017 event –
Servant
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10 AP
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20 AP
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30 AP
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40 AP
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50 AP
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The 56 mile long canal joins the Firth of Clyde with the Firth of Forth (Glasgow to Edinburgh). It was restored and re-opened in 2001. The final link joining the Forth & Clyde canal and the Union canal is the massive new boat lift, known as The Falkirk Wheel. This impressive piece of modern engineering can lift 8 boats at once and provides access into the heart of Edinburgh.


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4. An Introduction to Apache Spark¶
Chinese proverb
Know yourself and know your enemy, and you will never be defeated – idiom, from Sunzi’s Art of War
4.1. Core Concepts¶
Most of the following content comes from [Kirillov2016]. So the copyright belongs to Anton Kirillov. I will refer you to get more details from Apache Spark core concepts, architecture and internals.
Before diving deep into how Apache Spark works, lets understand the jargon of Apache Spark
Job: A piece of code which reads some input from HDFS or local, performs some computation on the data and writes some output data.
Stages: Jobs are divided into stages. Stages are classified as a Map or reduce stages (Its easier to understand if you have worked on Hadoop and want to correlate). Stages are divided based on computational boundaries, all computations (operators) cannot be Updated in a single Stage. It happens over many stages.
Tasks: Each stage has some tasks, one task per partition. One task is executed on one partition of data on one executor (machine).
DAG: DAG stands for Directed Acyclic Graph, in the present context its a DAG of operators.
Executor: The process responsible for executing a task.
Master: The machine on which the Driver program runs
Slave: The machine on which the Executor program runs
4.2. Spark Components¶
Spark Driver
separate process to execute user applications
creates SparkContext to schedule jobs execution and negotiate with cluster manager
Executors
run tasks scheduled by driver
store computation results in memory, on disk or off-heap
interact with storage systems
Cluster Manager
Mesos
YARN
Spark Standalone
Spark Driver contains more components responsible for translation of user code into actual jobs executed on cluster:
SparkContext
represents the connection to a Spark cluster, and can be used to create RDDs, accumulators and broadcast variables on that cluster
DAGScheduler
computes a DAG of stages for each job and submits them to TaskScheduler determines preferred locations for tasks (based on cache status or shuffle files locations) and finds minimum schedule to run the jobs
TaskScheduler
responsible for sending tasks to the cluster, running them, retrying if there are failures, and mitigating stragglers
SchedulerBackend
backend interface for scheduling systems that allows plugging in different implementations(Mesos, YARN, Standalone, local)
BlockManager
provides interfaces for putting and retrieving blocks both locally and remotely into various stores (memory, disk, and off-heap)
4.3. Architecture¶
4.4. How Spark Works?¶
Spark has a small code base and the system is divided in various layers. Each layer has some responsibilities. The layers are independent of each other.
The first layer is the interpreter, Spark uses a Scala interpreter, with some modifications. As you enter your code in spark console (creating RDD’s and applying operators), Spark creates a operator graph. When the user runs an action (like collect), the Graph is submitted to a DAG Scheduler. The DAG scheduler divides operator graph into (map and reduce) stages. A stage is comprised of tasks based on partitions of the input data. The DAG scheduler pipelines operators together to optimize the graph. For e.g. Many map operators can be scheduled in a single stage. This optimization is key to Sparks performance. The final result of a DAG scheduler is a set of stages. The stages are passed on to the Task Scheduler. The task scheduler launches tasks via cluster manager. (Spark Standalone/Yarn/Mesos). The task scheduler doesn’t know about dependencies among stages.


| curl -v http://localhost:3001/services |
Get a list of services |
| curl -v http://localhost:3001/services/sample |
Get the sample codex (service definitions) |
| curl -v http://localhost:3001/services/sample/usage |
Get the sample usage (curl command form) |
| curl -v -X POST -H "Content-Type: application/json" --data '{"locs":["sample"]}}' 'http://localhost:3001/test' |
Integration test the service simulation |
| curl -v -X PUT http://localhost:3001/services --data-binary<EMAIL_ADDRESS>|
Put a codex (service definitions) into Protean |
| curl -v -X DELETE http://localhost:3001/services/sample |
Delete a service from Protean |
| curl -v -X DELETE http://localhost:3001/services/sample/errors |
Turn off simulated response errors for this service |
| curl -v -X PUT http://localhost:3001/services/sample/errors/status/500 |
Add a simulated 500 error response for this service |
| curl -v -X PUT http://localhost:3001/services/sample/errors/probability/20 |
Set the probability of a simulated error to 20% for this service |


Detroit: Become Human arrives on the Epic Games Store December 12
by Stephany NunneleyQuantic Dream’s PlayStation 4 title Detroit: Become Human will arrive on PC next month.
Detroit: Become Human will be released on the Epic Games Store on December 12. A demo featuring the game’s opening scene will be available simultaneously.
The PC version supports 4K resolution, 60fps and full integration of both mouse/keyboard and gamepad controls.
Previously only available on PlayStation 4, the game is the third PS4-exclusive from Quantic Dream to arrive on PC following Heavy Rain in June and Beyond: Two Souls in July. Demos are still available on the Epic Games Store for both titles.
Announced in March, all three titles are timed-exclusives on Epic’s store.
Games featured in this article


SoundFonts
public protocol SoundFonts : AnyObject
Actions available on a collection of SoundFont instances. Supports subscribing to changes.
-
True if the collection of sound fonts has been restored
Declaration
Swift
var restored: Bool { get }
-
Collection of all of the sound fount names
Declaration
Swift
var soundFontNames: [String] { get }
-
The default preset to use if there is not one
Declaration
Swift
var defaultPreset: SoundFontAndPatch? { get }
-
Obtain the index in the collection of a SoundFont with the given Key.
Declaration
Swift
func firstIndex(of: LegacySoundFont.Key) -> Int?
Parameters
of
the key to look for
Return Value
the index of the matching entry or nil if not found
-
Obtain the SoundFont in the collection by its unique key
Declaration
Swift
func getBy(key: LegacySoundFont.Key) -> LegacySoundFont?
Parameters
key
the key to look for
Return Value
the index of the matching entry or nil if not found
-
Obtain an actual preset object from the given SoundFontAndPatch value.
Declaration
Swift
func resolve(soundFontAndPatch: SoundFontAndPatch) -> LegacyPatch?
Parameters
soundFontAndPatch
reference to a preset in a sound font
Return Value
LegacyPatch object that corresponds to the given value
-
Obtain the collection of sound fonts that contains the given tag.
Declaration
Swift
func filtered(by tag: LegacyTag.Key) -> [LegacySoundFont.Key]
Parameters
tag
the tag to filter on
Return Value
collection of sound font instances that have the given tag
-
Get the names of the given sound fonts.
Declaration
Swift
func names(of keys: [LegacySoundFont.Key]) -> [String]
Parameters
keys
the sound font keys to look for
Return Value
list of sound font names
-
Add a new SoundFont.
Declaration
Swift
func add(url: URL) -> Result<(Int, LegacySoundFont), SoundFontFileLoadFailure>
Parameters
url
the URL of the file containing SoundFont (SF2) data
Return Value
2-tuple containing the index in the collection where the new SoundFont was inserted, and the SoundFont instance created from the raw data
-
Remove the SoundFont at the given index
Declaration
Swift
func remove(key: LegacySoundFont.Key)
Parameters
index
the location to remove
-
Change the name of a SoundFont
Declaration
Swift
func rename(key: LegacySoundFont.Key, name: String)
Parameters
index
location of the SoundFont to edit
name
new name to use
-
Create a new favorite for a sound font preset.
Declaration
Swift
func createFavorite(soundFontAndPatch: SoundFontAndPatch, keyboardLowestNote: Note?) -> LegacyFavorite?
Parameters
soundFontAndPatch
the preset to make a favorite
keyboardLowestNote
the lowest note to use for the preset
Return Value
new Favorite
-
Remove an existing favorite.
Declaration
Swift
func deleteFavorite(soundFontAndPatch: SoundFontAndPatch, key: LegacyFavorite.Key)
Parameters
soundFontAndPatch
the preset that was used to create the favorite
key
the unique key of the favorite to remove
-
Update the configuration of a preset.
Declaration
Swift
func updatePreset(soundFontAndPatch: SoundFontAndPatch, config: PresetConfig)
Parameters
soundFontAndPatch
the preset to update
config
the configuration to use
-
Set the preset visibility.
Declaration
Swift
func setVisibility(soundFontAndPatch: SoundFontAndPatch, state: Bool)
Parameters
soundFontAndPatch
the preset to change
state
the new visibility state for the preset
-
Make all presets of a given SoundFont visible.
Declaration
Swift
func makeAllVisible(key: LegacySoundFont.Key)
Parameters
key
the unique key of the SoundFont to change
-
Attach effect configurations to a preset.
Declaration
Swift
func setEffects(soundFontAndPatch: SoundFontAndPatch, delay: DelayConfig?, reverb: ReverbConfig?)
Parameters
soundFontAndPatch
the preset to change
delay
the configuration for the delay
reverb
the configuration for the reverb
-
Reload the embedded contents of the sound font
Declaration
Swift
func reloadEmbeddedInfo(key: LegacySoundFont.Key)
Parameters
key
the sound font to reload
-
Determine if there are any bundled fonts in the collection
Declaration
Swift
var hasAnyBundled: Bool { get }
-
Determine if all bundled fonts are in the collection
Declaration
Swift
var hasAllBundled: Bool { get }
-
Remove all built-in SoundFont entries.
Declaration
Swift
func removeBundled()
-
Restore built-in SoundFonts.
Declaration
Swift
func restoreBundled()
-
Export all sound fonts in the collection to a local documents directory that the user can access.
Declaration
Swift
func exportToLocalDocumentsDirectory() -> (good: Int, total: Int)
Return Value
2-tuple containing a counter of the number of successful exports and the total number that was attempted
-
Import sound fonts found in the local documents directory for the app.
Declaration
Swift
func importFromLocalDocumentsDirectory() -> (good: Int, total: Int)
Return Value
2-tuple containing a counter of the number of successful exports and the total number that was attempted
-
Subscribe to notifications when the collection changes. The types of changes are defined in SoundFontsEvent enum.
Declaration
Swift
@discardableResult func subscribe<O: AnyObject>(_ subscriber: O, notifier: @escaping (SoundFontsEvent) -> Void) -> SubscriberToken
Parameters
subscriber
the object doing the monitoring
notifier
the closure to invoke when a change takes place
Return Value
token that can be used to unsubscribe


ca.ualberta.CMPUT301W15T06
public static final class R.string extends java.lang.Object
| Constructor and Description |
|---|
R.string() |
public static final int action_settings
public static final int add_new_claim
public static final int add_photo
public static final int app_name
public static final int delete_photo
public static final int hello_world
public static final int manage_tag
public static final int push_online
public static final int title_activity_approver_claim_detail_list
public static final int title_activity_approver_claim_list
public static final int title_activity_approver_item_list
public static final int title_activity_approver_recipt
public static final int title_activity_claimant_add_claim
public static final int title_activity_claimant_add_destination
public static final int title_activity_claimant_add_item
public static final int title_activity_claimant_approver_info
public static final int title_activity_claimant_claim_list
public static final int title_activity_claimant_destination_reason
public static final int title_activity_claimant_edit_claim
public static final int title_activity_claimant_edit_item
public static final int title_activity_claimant_item_detail
public static final int title_activity_claimant_item_list
public static final int title_activity_claimant_receipt
public static final int title_activity_claimant_recipt
public static final int title_activity_claimant_tag_list
public static final int title_activity_get_location_by_map
public static final int title_activity_map
public static final int title_activity_show_location
public static final int title_claim_dialog
public static final int title_item_dialog


--- title: Curve fitting subtitle: Slides bigimg: /pages/c_04_curve_fitting/c_04_bigimg.jpg share-img: https://raw.githubusercontent.com/YoniChechik/AI_is_Math/master/docs/pages/c_04_curve_fitting/c_04_bigimg.jpg layout: page ---


The profiles modal allows you to manage and create profiles. You can open it by:
| Field | Description |
|---|---|
| Name | The name of the profile. This is what is displayed in the dropdown on the Start View. |
| Game | The game you want to use the profile for. Can be any supported game mode. |
| Path | The path to your game installation folder. You can click the folder icon to browse for it. |
| Languge | Language mode to use. Currently this only applies to the localization used when loading game files. |
You can change the profile will that is selected when the application starts by selecting a profile from the default profile dropdown.