2020 BMW M2 CS Debuts With More Power, Better Suspension, And A Manual
Though the dual-clutch automatic is quicker to 60 by 0.2 seconds.
by Anthony AlanizThe 2020 BMW M2 CS has arrived after a year of spy photos, speculations, and leaks. The M2 CS is a step above the M2 Competition, offering more power, tweaked looks, and improved performance.
Powering M’s smallest performance model is BMW’s turbocharged S55 inline-six engine. It makes 444 horsepower (327 kilowatts) and 406 pound-feet (550 Newton-meters) of torque – 39 more horsepower (29 kilowatts) than the M2 competition. The mill pairs with either a seven-speed dual-clutch automatic or six-speed manual transmission.
What's Coming From BMW:
If zero-to-60 times are important, you should choose the auto – it reaches 60 miles per hour (96 kilometers per hour) 0.2 seconds quicker – 3.8 seconds – than the manual. The top speed is 174 mph (280 kph). Those numbers could change before production begins in March 2020.
Standard equipment includes the Active M differential and Adaptive M suspension, the latter of which wasn’t previously available on the M2. It provides three drive modes: Comfort, Sport, Sport+. M Carbon Ceramic Brakes are optional over the standard M Compound brakes. Nineteen-inch wheels in a high-gloss jet-black finish are standard though a gold matte finish is optional. Michelin Cup 2 tires are available.
Gallery: 2020 BMW M2 CS
The BMW M2 CS uses a lot of carbon fiber reinforced plastic (CFRP). The German automaker uses the material for the front splitter, roof, rear spoiler, M twin-stalk exterior mirrors, rear diffuser, and hood, which weighs half that of a traditional steel hood. The material finds its way inside, too, shaving six pounds (2.7 kilograms) from the center console.
Inside, there’s plenty of leather and Alcantara, which covers the center armrest and dash. The M Sport steering wheel is also covered in Alcantara with red contrast stitching and the mandatory race stripe at 12 o’clock. M Competition seats in Alcantara and black leather with red contrasting stitching are standard. The seats feature the BMW M motorsports stripes embroidered into the headrests with the CS logo on the rear seat headrests.
The 2020 BMW M2 CS will make its world debut later this month at the Los Angeles Auto Show.
Source: BMW
Show press release
The 2020 BMW M2 CS Coupe.
Woodcliff Lake, NJ – November 5, 2019…Today, BMW M GmbH is proud to announce the next step in the evolution of the BMW M2, the M2 CS. The new high-performance coupe blends racetrack optimization with everyday usability to create the most capable version of M’s smallest model.
Power and torque are rated at 444 hp and 406 lb-ft (preliminary), an increase of 39 hp over the M2 Competition. Newly available, select CFRP body panels and components help reduce weight, lower the center of gravity and improve aerodynamics. Exclusive Carbon Fiber and Alcantara interior trim help set this M2 apart from all previous versions.
The new M2 CS has also been developed side by side with the new M2 CS Racing model, which will be offered by BMW Motorsport as a new entry model into customer racing. BMW M GmbH and BMW Motorsport worked closely together to take the learnings from the M2 street car and from the M4 GT4 customer program and apply them to the new M2 CS Racing model. A level of cooperation which we will see repeated with select limited edition M models in the future.
The 2020 BMW M2 CS Coupe will make its World Debut at Automobility LA on November 20th 2019.
S55 Power plant derived from the M4 Competition
The heart of the new BMW M2 CS is an uprated S55 3.0-liter inline 6-cylinder engine with BMW TwinPower Turbo technology. Producing 444 hp at 6,250 rpm and 406 lb-ft of torque between 2,350 – 5,500 rpm (preliminary), the power plant allows the M2 CS to accelerate from 0 to 60 mph in 3.8 seconds when equipped with the 7-speed dual clutch (DCT) transmission and in 4.0 seconds when equipped with the 6-speed manual.
The wide, flat torque curve, the linear build-up of power and a 7,600 rpm redline mean that the engine is ready to deliver an exhilarating experience at a moment’s notice. Two, quick-spooling mon-scroll turbochargers, High precision direct injection, Valvetronic variable valve timing and Double-Vanos fully variable cam timing deliver lighting fast responses of power to the driver’s throttle inputs.
The S55 engine block is of a closed-deck design to deal with high cylinder pressures. Cylinder walls are coated with a wire-arc sprayed-on coating instead of liners to help reduce weight.
The exhaust gases are routed through a, unique to the M2 CS, dual-branch exhaust system with electronically-controlled exhaust valves and two, twin-exhaust pipes with engraved ///M logos. The exhaust sound can be controlled via the M Engine Dynamics control switch in the center console.
Cooling is provided by a central radiator, two smaller side radiators, an oil cooler, two scavenging pumps in the oil sump pan along with a sump baffle to help control oil movement under all circumstances. An oil return system near the turbochargers help keep the flow of oil steady during extreme acceleration and braking. DCT-equipped cars also receive a separate transmission oil cooler.
6-Speed Manual and 7-Speed DCT Transmissions
The new BMW M2 CS comes standard with a six-speed manual gearbox, which is notable for its compact design and light weight. The use of a carbon-fiber friction lining enhances the manual shift feel. The BMW M2 CS is equipped with rev-matching technology which blips the throttle on downshifts and lowers the engine’s revs on upshifts, making gear changes even smoother. This lends the car additional stability during hard driving on the track. Rev-matching is deactivated when DSC is switched off.
The seven-speed M Double Clutch Transmission (M DCT with Drivelogic) is available as an option. This system effectively combines two gearboxes, each with its own clutch, and enables
either extremely fast gear changes with no interruption in the flow of power or ultra-smooth shifts. The driver can change gears either in automated or manual mode by using the gearshift lever on the center console or shift paddles on the M leather steering wheel. In both automatic and manual modes, Drivelogic provides the driver with a choice between three preconfigured driving programs: COMFORT, SPORT and SPORT+.
Active M locking Differential
The Dynamic Stability Control is supported in its task by the standard Active M Differential, an electronically controlled multi-plate locking differential which can vary the locking effect from 0 to 100 percent according to the driving situation, the car’s steering angle, accelerator position, brake pressure, engine torque, wheel-speed and yaw rate.
The control unit uses this collection of data inputs to detect the threat of traction loss on one side of the car and calculates the required locking effect, which is engaged by an electric motor. The full locking power of over 1,800 lb-ft is available within 150 milliseconds. This allows the system to prevent a wheel from spinning in extreme conditions on slippery road surfaces or when the two rear wheels are experiencing significant differences in friction coefficient.
In certain situations, the Active M Differential even works proactively. When pulling away on slippery surfaces, the lock is closed by a defined percentage even before a wheel can start to spin, to ensure that both wheels develop equal slip at the same time. The lock is also closed by the required percentage through dynamically driven corners, according to the levels of lateral acceleration and drive at work. This prevents the low-traction inside wheel from starting to turn too quickly. This permanent and infinitely variable differential control also increases agility, avoids understeer into corners and improves directional stability under braking and load changes.
M Dynamic Mode (MDM), which can be activated automatically by either selecting SPORT+ mode, or engaging manually via the DSC button allows for a greater degree of dynamic freedom when the driver requires it, such as on closed course track driving.
Standard Adaptive M Suspension, chassis and steering
The BMW M2 CS comes standard with the Adaptive M suspension, previously unavailable on the M2 models. The new fitted suspension gives the driver a choice of Comfort, Sport and Sport+ modes, each with different damper settings.
omfort mode provides excellent everyday usability on varied surface conditions. Sport mode offers a setting for tuned for winding roads while Sport+ is designed to minimize body motion on track environments. The level of steering assistance is also varied as part of the three suspension modes.
The CFRP front brace, introduced on the M2 Competition, weighs only 3.3 pounds and ties the front strut towers to the bulkhead, increasing front end stiffness and improving turn-in response and steering precision.
The rear five-link suspension’s control arms and wheel hubs are made from forged aluminum. The rear, lightweight, steel subframe is bolted directly to the body frame without any flexible rubber bushings to improve rear wheel direction and stability.
Standard and Optional Brakes
The standard brake fitment consists of M Compound brakes featuring 400 mm front vented disks and 380 mm rear vented disks. Red-painted six-piston fixed front and four-piston fixed rear calipers apply the stopping power. This setup provides outstanding stopping power with excellent fade resistance and thermal stability.
Available for the first time on an M2 is the M Carbon Ceramic Brake option which delivers increased thermal resistance capabilities under extreme track driving conditions, as well as reduced weight with greatly improved brake disk wear characteristics.
Forged 19-inch wheels with non-runflat performance tires
The M2 CS is equipped with standard 19-inch Forged Y-spoke Style 763M wheels in a High-Gloss Jet Black finish. A Gold matt finish to the same wheels can be specified as an option. Either wheel color finish can be ordered with either Michelin Cup 2 tires or mixed performance tires.
Wheel sizes are 9.0 x 19 inch front and 10.0 x 19 inch rear. Mounted tires are sized 245/35R19 front and 265/35R19 rear.
CFRP Exterior components
The BMW M2 features carefully selected use of CFRP in its exterior panels and components to not only reduce weight but also improve cooling and aerodynamics.
The new CFRP hood weighs half of the weight of a similar steel hood while incorporating functional air vents, finished in High-Gloss Black, which help increase front end downforce and aid in engine cooling.
The CFRP roof, offered for the first time on the M2, is made from a rigid, sandwich construction which requires no roof bow components nor insulation while still providing the required acoustic properties. Together, the new roof and hood help lower the M2 CS’s center of gravity for improved agility.
Also made form CFRP are the front splitter, the rear spoiler, rear diffuser and M twin-stalk exterior mirrors. The front and rear spoilers along with the diffuser work together to optimize air flow underneath the car and to further increase downforce.
Exclusive CS Interior Appointments
The cabin of the M2 CS blends race track inspired aesthetics with weight saving technology. The center, transmission tunnel console is made from CFRP, saving over 6 pounds when compared to a standard 2 Series console.
Alcantara material covers the center armrest and dash trim, which also includes an embroidered CS badge in red contrast stitching. The standard M Sport Steering wheel is covered in Alcantara with red contrast stitching and a race stripe at the 12 o’clock position.
The M2 CS logo is present on the door sill plates and on the instrument cluster when the vehicle is started.
The standard front M Competition seats are finished in Alcantara / Black Merino leather with red contrast stitching and the BMW M Motorsport stripes embroidered into the integrated headrests. The CS logo is visible on the rear seat headrests.
Exterior Colors
The M2 CS will be available in four colors including Alpine White, Misano Blue Metallic, Black Sapphire Metallic and Hockenheim Silver Metallic.
Standard and Optional Equipment
The M2 CS comes with an extensive list of standard equipment including:
- 6-Speed Manual transmission
- Adaptive M Suspension
- Active M Differential
- 19-inch Forged Jet Black M Style 763M wheels with mixed performance tires
- CFRP roof
- CFRP hood
- CFRP front spoiler, rear spoiler, rear diffuser and mirror caps,
- Front Power, Heated M Competition Seats
- M Seat Belts
- Dynamic Cruise Control
- Ambient Interior Lighting
- Navigation
- Harman/ Kardon Premium Sound System
- Shadowline exterior trim
- Anthracite Headliner
- M Alcantara Steering Wheel
- Apple CarPlay Compatibility
- Adaptive Full LED headlights
- Universal Garage Door opener
- Rear View camera and Park distance control
Optional equipment includes:
- 7-Speed DCT transmission with Drivelogic
- M Carbon Ceramic brakes
- Matt Gold wheel finish
- Michelin Cup 2 tires


THE UMBRELLAS OF CHERBOURG (LES PARAPLUIES DE CHERBOURG) A film review by Steve Rhodes Copyright 1996 Steve Rhodes
RATING (0 TO ****): ***
So, do you like musicals? Do you like opera? How about a blend? The classic 1964 film THE UMBRELLAS OF CHERBOURG (LES PARAPLUIES DE CHERBOURG) by director Jacques Demy has been restored and rereleased to the theaters. Yes, it will undoubtedly make its way soon to video, but for my money, I think you should see it in all of its radiant colors in a real movie house and not a living room.
There is a long history behind this restoration, but from what I can gather, the key facts are that the film was originally shot on an unstable type of film so that the colors faded quickly. Even if you saw the movie when it first came out, the colors may have already begun to fade significantly by then. They somehow found an original 3 color separation negative and from that they reconstructed the color as it was always intended to look. For those of you who are specialists in this area of film, please do not fill up my in-box with trivial reasons why this is not quite the right explanation. It is probably close enough for the average movie goer.
At any rate, this is a picture that looks spectacular. The colors are bright primary ones with blue and yellow tones dominating. In fact the cinematography by Jean Rabier has colors so saturated that if it were on TV you might try to turn the color intensity knob down some to "fix" the color. Suffice it to say that it is the color that is actually the best part of the show!
THE UMBRELLAS OF CHERBOURG does have a plot, good acting, and pleasant singing so it is more than just a splash of color. The film starts with the most impressive and lovely sequence in the movie. The camera is shooting straight down onto a cobblestone street. Each stone looks like it has been individually chosen for its lush and radiant color. The rain starts to pour although it appears the cloud must be a mile high and about 4 foot wide based on the pattern of the rain. Soon people come strolling by except you can not see them given the angle of the shot. All you can see is their brightly colored umbrellas. Their walking pace intensifies until the film switches to a scene in a garage.
An auto mechanic named Guy (Nino Castelnuovo) is in love with Genevieve Emery (Catherine Deneuve). Her mother, Madame Emery (Anne Vernon), does not approve of this match as she wants someone wealthier for her daughter. The umbrella theme reappears since Madame Emery runs an umbrella shop. From there the show goes on with Genevieve getting pregnant, and Guy going into the army.
None of the plot is important. I love opera, especially Wagnerian opera. Now, if you read the plot of any opera or ponder the words, you will probably never "waste" your time seeing it. It is the same here. THE UMBRELLAS OF CHERBOURG is first and foremost a musical and a display of cinematic color richness and gorgeous sets (Bernard Evein).
Some words about the acting. Catherine Deneuve and Nino Castelnuovo are handsome actors with infectiously bright spirits. The acting is light, but lovely. I had no idea how beautiful and innocent looking Catherine Deneuve was. The last film I saw her in was BELLE DE JOUR (1967), and she was made to look harsh in that one.
The singing is of the recitative variety where all of the words are lightly sung rather than spoken. If you are used to the more traditional musical like THE SOUND OF THE MUSIC, you may be surprised at how different this technique is. There are no big musical numbers, but rather people talk in a singing voice. It reminded me of the priest singing the Eucharist rather than saying it. I liked the singing in THE UMBRELLAS OF CHERBOURG, but I must confess, I like the traditional musical with big musical numbers more.
THE UMBRELLAS OF CHERBOURG runs just 1:27. It is in French with English subtitles. It is not rated but I would guess it to be PG-13 material for some of the themes presented. It is probably fine for kids over 10. Although I confess that I got a little tired of recitative, I loved the images and the fresh acting, so I am recommending this film to you and awarding it ***.
**** = One of the top few films of this or any year. A must see film. *** = Excellent show. Look for it. ** = Average movie. Kind of enjoyable. * = Poor show.  Totally unbearable.
REVIEW WRITTEN ON: May 20, 1996
Opinions expressed are mine and not meant to reflect my employer's.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


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--- layout: post title: Subdomains or Subfolders which are Better for Blogging (SEO) ? ---
24 SEPTEMBER 2009
I recently had to decide whether to use a subdomain blog.2manycolours.com
or an subdirectory 2manycolours.com/blog
for the Wordpress blog of my new project. As i'm not a SEO-Guy i
read
some
articles
about the issue.
In conclusion i decided to use a Subfolder because:
But could i just setup 10 Subdomains to get more results listed in the google search ?
Nope, because:
Google will show up to two results from each hostname/subdomain of a domain name.
from Matt Cutts: Gadgets, Google, and SEO
Thats not the way it works...


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Class: Aws::CloudFront::Types::ViewerCertificate
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-cloudfront/lib/aws-sdk-cloudfront/types.rb |
Overview
A complex type that determines the distribution's SSL/TLS configuration for communicating with viewers.
If the distribution doesn't use Aliases
(also known as alternate
domain names or CNAMEs)—that is, if the distribution uses the
::Aws::CloudFront
domain name such as d111111abcdef8.cloudfront.net
—set
CloudFrontDefaultCertificate
to true
and leave all other fields
empty.
If the distribution uses Aliases
(alternate domain names or CNAMEs),
use the fields in this type to specify the following settings:
Which viewers the distribution accepts HTTPS connections from: only viewers that support server name indication (SNI) (recommended), or all viewers including those that don't support SNI.
- To accept HTTPS connections from only viewers that support SNI,
set
SSLSupportMethod
tosni-only
. This is recommended. Most browsers and clients support SNI. - To accept HTTPS connections from all viewers, including those that
don't support SNI, set
SSLSupportMethod
tovip
. This is not recommended, and results in additional monthly charges from CloudFront.
- To accept HTTPS connections from only viewers that support SNI,
set
The minimum SSL/TLS protocol version that the distribution can use to communicate with viewers. To specify a minimum version, choose a value for
MinimumProtocolVersion
. For more information, see Security Policy in the Amazon CloudFront Developer Guide.The location of the SSL/TLS certificate, Certificate Manager (ACM) (recommended) or Identity and Access Management (IAM). You specify the location by setting a value in one of the following fields (not both):
ACMCertificateArn
IAMCertificateId
All distributions support HTTPS connections from viewers. To require
viewers to use HTTPS only, or to redirect them from HTTP to HTTPS, use
ViewerProtocolPolicy
in the CacheBehavior
or
DefaultCacheBehavior
. To specify how ::Aws::CloudFront
should use SSL/TLS
to communicate with your custom origin, use CustomOriginConfig
.
For more information, see Using HTTPS with CloudFront and Using
Alternate Domain Names and HTTPS in the Amazon ::Aws::CloudFront
Developer Guide.
Constant Summary
Instance Attribute Summary
-
#acm_certificate_arn ⇒ String
rw
If the distribution uses
Aliases
(alternate domain names or CNAMEs) and the SSL/TLS certificate is stored in [Certificate Manager (ACM)][1], provide the Amazon Resource Name (ARN) of the::Aws::ACM
certificate. -
#certificate ⇒ String
rw
This field is deprecated.
-
#certificate_source ⇒ String
rw
This field is deprecated.
-
#cloud_front_default_certificate ⇒ Boolean
rw
If the distribution uses the
::Aws::CloudFront
domain name such asd111111abcdef8.cloudfront.net
, set this field totrue
. -
#iam_certificate_id ⇒ String
rw
If the distribution uses
Aliases
(alternate domain names or CNAMEs) and the SSL/TLS certificate is stored in [Identity and Access Management (IAM)][1], provide the ID of the::Aws::IAM
certificate. -
#minimum_protocol_version ⇒ String
rw
If the distribution uses
Aliases
(alternate domain names or CNAMEs), specify the security policy that you want::Aws::CloudFront
to use for HTTPS connections with viewers. -
#ssl_support_method ⇒ String
rw
If the distribution uses
Aliases
(alternate domain names or CNAMEs), specify which viewers the distribution accepts HTTPS connections from.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Structure#to_h. |
Instance Attribute Details
#acm_certificate_arn ⇒ String
(rw)
If the distribution uses Aliases
(alternate domain names or
CNAMEs) and the SSL/TLS certificate is stored in Certificate
Manager (ACM), provide the Amazon Resource Name (ARN) of the ::Aws::ACM
certificate. ::Aws::CloudFront
only supports ::Aws::ACM
certificates in the US
East (N. Virginia) Region (us-east-1
).
If you specify an ::Aws::ACM
certificate ::Aws::ARN
, you must also specify values
for MinimumProtocolVersion
and SSLSupportMethod
.
# File 'gems/aws-sdk-cloudfront/lib/aws-sdk-cloudfront/types.rb', line 12872
class ViewerCertificate < Struct.new( :cloud_front_default_certificate, :iam_certificate_id, :acm_certificate_arn, :ssl_support_method, :minimum_protocol_version, :certificate, :certificate_source) SENSITIVE = [] include Aws::Structure end
#certificate ⇒ String
(rw)
This field is deprecated. Use one of the following fields instead:
ACMCertificateArn
IAMCertificateId
CloudFrontDefaultCertificate
# File 'gems/aws-sdk-cloudfront/lib/aws-sdk-cloudfront/types.rb', line 12872
class ViewerCertificate < Struct.new( :cloud_front_default_certificate, :iam_certificate_id, :acm_certificate_arn, :ssl_support_method, :minimum_protocol_version, :certificate, :certificate_source) SENSITIVE = [] include Aws::Structure end
#certificate_source ⇒ String
(rw)
This field is deprecated. Use one of the following fields instead:
ACMCertificateArn
IAMCertificateId
CloudFrontDefaultCertificate
# File 'gems/aws-sdk-cloudfront/lib/aws-sdk-cloudfront/types.rb', line 12872
class ViewerCertificate < Struct.new( :cloud_front_default_certificate, :iam_certificate_id, :acm_certificate_arn, :ssl_support_method, :minimum_protocol_version, :certificate, :certificate_source) SENSITIVE = [] include Aws::Structure end
#cloud_front_default_certificate ⇒ Boolean
(rw)
If the distribution uses the ::Aws::CloudFront
domain name such as
d111111abcdef8.cloudfront.net
, set this field to true
.
If the distribution uses Aliases
(alternate domain names or
CNAMEs), set this field to false
and specify values for the
following fields:
ACMCertificateArn
orIAMCertificateId
(specify a value for one, not both)MinimumProtocolVersion
SSLSupportMethod
# File 'gems/aws-sdk-cloudfront/lib/aws-sdk-cloudfront/types.rb', line 12872
class ViewerCertificate < Struct.new( :cloud_front_default_certificate, :iam_certificate_id, :acm_certificate_arn, :ssl_support_method, :minimum_protocol_version, :certificate, :certificate_source) SENSITIVE = [] include Aws::Structure end
#iam_certificate_id ⇒ String
(rw)
If the distribution uses Aliases
(alternate domain names or
CNAMEs) and the SSL/TLS certificate is stored in Identity and
Access Management (IAM), provide the ID of the ::Aws::IAM
certificate.
If you specify an ::Aws::IAM
certificate ID, you must also specify values
for MinimumProtocolVersion
and SSLSupportMethod
.
# File 'gems/aws-sdk-cloudfront/lib/aws-sdk-cloudfront/types.rb', line 12872
class ViewerCertificate < Struct.new( :cloud_front_default_certificate, :iam_certificate_id, :acm_certificate_arn, :ssl_support_method, :minimum_protocol_version, :certificate, :certificate_source) SENSITIVE = [] include Aws::Structure end
#minimum_protocol_version ⇒ String
(rw)
If the distribution uses Aliases
(alternate domain names or
CNAMEs), specify the security policy that you want ::Aws::CloudFront
to use
for HTTPS connections with viewers. The security policy determines
two settings:
The minimum SSL/TLS protocol that
::Aws::CloudFront
can use to communicate with viewers.The ciphers that
::Aws::CloudFront
can use to encrypt the content that it returns to viewers.
For more information, see Security Policy and Supported
Protocols and Ciphers Between Viewers and CloudFront in the
Amazon ::Aws::CloudFront
Developer Guide.
::Aws::CloudFront
console, this setting is called Security
Policy.
When you're using SNI only (you set SSLSupportMethod
to
sni-only
), you must specify TLSv1
or higher.
If the distribution uses the ::Aws::CloudFront
domain name such as
d111111abcdef8.cloudfront.net
(you set
CloudFrontDefaultCertificate
to true
), ::Aws::CloudFront
automatically
sets the security policy to TLSv1
regardless of the value that you
set here.
# File 'gems/aws-sdk-cloudfront/lib/aws-sdk-cloudfront/types.rb', line 12872
class ViewerCertificate < Struct.new( :cloud_front_default_certificate, :iam_certificate_id, :acm_certificate_arn, :ssl_support_method, :minimum_protocol_version, :certificate, :certificate_source) SENSITIVE = [] include Aws::Structure end
#ssl_support_method ⇒ String
(rw)
If the distribution uses Aliases
(alternate domain names or
CNAMEs), specify which viewers the distribution accepts HTTPS
connections from.
sni-only
– The distribution accepts HTTPS connections from only viewers that support server name indication (SNI). This is recommended. Most browsers and clients support SNI.vip
– The distribution accepts HTTPS connections from all viewers including those that don't support SNI. This is not recommended, and results in additional monthly charges from CloudFront.static-ip
- Do not specify this value unless your distribution has been enabled for this feature by the CloudFront team. If you have a use case that requires static IP addresses for a distribution, contact CloudFront through the Amazon Web Services Support Center.
If the distribution uses the ::Aws::CloudFront
domain name such as
d111111abcdef8.cloudfront.net
, don't set a value for this field.
# File 'gems/aws-sdk-cloudfront/lib/aws-sdk-cloudfront/types.rb', line 12872
class ViewerCertificate < Struct.new( :cloud_front_default_certificate, :iam_certificate_id, :acm_certificate_arn, :ssl_support_method, :minimum_protocol_version, :certificate, :certificate_source) SENSITIVE = [] include Aws::Structure end


As planned above, we started with a simple line graph displaying both male and female athletes’ percentage against all athletes. The strength of this method is that it is simple and clear. It shows that the female percentage has been steadily growing in the past century at the Olympics. The drawback is that it does not generate a stark contrast between male and female as a stacked bar chart can do. See Figure 21.
We then used stacked bar graphs. We first tried stacking the bar horizontally with percentage on the x-axis and time on y-axis. See Figure 22.
It was not as beautiful as we wanted, so we tried to put it upright and replace the axis labels. To highlight the trend, we set the male section grey and the female part bright blue. We also drew a red line at the intersection of the two parts. This time, female participation was obviously highlighted and the trend shown very clearly. See Figure 23.
However, as discussed above, stacked bar charts can only show the changes in percentages, not those in the actual number of participants. To also visualize how the total number of athletes participating in the Olympics changed over the century, we opted for a stacked area chart. See Figure 24.
The x-axis denotes time and the y-axis number of athletes. Areas are made up of male and female participants. The two added up to the total number of athletes. This stacked area chart not only shows the changes in female participation, it also displays how the total number of athletes has been increasing over the years. The drawback is that area is not a much preferred visual encoding. As a result, the comparison of percentages of male and female is not very accurate. That said, we think its strengths outweigh its disadvantages.


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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/expr.2Epis.html ---
Why doesn't #reduce expr.pis [expr.local_const ` A `A binder_info.default `(Sort 1)] `(Sort 1)
terminate?
In an ideal world you would go to the set_option docs and look at the section "how do I track down an excessive memory consumption error?"
@Jakob von Raumer You should use #eval
since expr.pis
is meta.
And I think the following should explain why kernel reduction fails on this example:
set_option pp.all true #print raw `A /- name.mk_string (string.str string.empty (char.of_nat (@bit1.{0} nat nat.has_one nat.has_add (@bit0.{0} nat nat.has_add (@bit0.{0} nat nat.has_add (@bit0.{0} nat nat.has_add (@bit0.{0} nat nat.has_add (@bit0.{0} nat nat.has_add (@has_one.one.{0} nat nat.has_one))))))))) name.anonymous -/
(I just tried all subterms of the example, and already #reduce `A
fails.)
Thanks :)
But for #eval
I'm getting a "result type does not have an instance of type class 'has_repr', dumping internal representation"?
meta instance: has_repr expr := ⟨expr.to_string⟩
:smile: I'm not sure if Leo would like a PR though...
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Changelog
All notable changes to the "Sharpen" extension will be documented in this file.
The format of the file is based on Keep a Changelog.
[0.1.1] - 2017-11-21
Added
- Icon, preview image and release notes.
[0.1.0] - 2017-11-21
Added
- Grouping the results by C# Version > Suggestion > <Project>\File.
- Display of the analysis results in a tree view.
- Analysis of the whole solution.
- "Use expression body for get-only properties" suggestion.
- "Use expression body for get-only indexers" suggestion.
- "Use expression body for constructors" suggestion.
- "Use expression body for destructors" suggestion.
- "Use expression body for get accessors in properties" suggestion.
- "Use expression body for get accessors in indexers" suggestion.
- "Use expression body for set accessors in properties" suggestion.
- "Use expression body for set accessors in indexers" suggestion.


FILM TITLE: FIORILE DIRECTOR: PAOLO & VITTORIO TAVIANI COUNTRY: ITALY 1993 CINEMATOGRAPHY: GIUSEPPE LANCI MUSIC: NICOLA PIOVANI CAST: Claudio Bigagli, Galatea Rangi, Michael Vartan, Lino Capoliachio, Constance Engelbrecht, Athina Canci, Giovanni Guidelli, Norma Martelli, Pier Paolo Capponi SUPER FEATURES: Beautifully written film. Luscious all the way, even if sad.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
It's hard to fault this film, aside from a few moments here and there where it appears slow. But the slow-ness, like Claude Berri's, is not waiting for something to happen. It is letting the actors shed their tears, for us to see. Which makes for a film, that is as gut wrenching as the Jean de Florette/Manon of the Spring type of story. And as sad and tragic as the events in this story are, the film still comes up with a bit of hope, even if it is a bit jaded, by the innocence of a youthful desire to play, or to follow through on their own wishes.
It is a story that encompasses almost 200 years in the life of a family string. It starts during one of the many franco/italian conflicts a young man in charge of a brigade carrying some gold, gets attacked in Italy by the noblemen who take the law in their own hands. In the process they hurt one of their own daughters. And the French officer who is actually resting, helps her. During this time they come to like each other after each other's original fears. And apparently they make love, after her leg wound is cleaned. Sadly, the young man was the guardian of a fortune in gold coins, which is taken away, by the girl's older brother and hidden. The young man, Jean ends up facing a firing squad, and the young girl is left pregnant and in despair. And this is just the beginning.
The story continues, being told to the two Bennedetti children, in today's environment, as what is probably clear that these are people related in some way, to the legends. The man telling the story to his children, is on the way to visit his own ailing father. During the drive, the children learn of this story which has many chapters and goes through nearly 200 years.
And at this point in the film, the outcome is still not clear, but it is becoming evident that the innocence of youth is always getting scramble somewhere along the line and in this case a sour old man, may be just the thing for the playful children, who find out a thing or two in their fun. They come away, mostly untouched by the events and the old man's emotional state, with the exception that one child managed to get his hands on one coin of gold, which may signal the continuance of the misfortunes in the family, although this particular generation seems to be doing fine, and the coin is taken as a souvenir, rather than any act of ill will, as has been the case before.
With incredible attention to detail and shooting design, this film is a marvel to watch. It's hard to fault it for anything, or find anyone that just seems out of place. Both directors, brothers, are just a touch above any others when it comes to attention for detail and story line. Even the continuity of this film is smooth despite jumping many years from chapter to chapter. A very rare event, indeed for the art of film. There are bits and pieces of nice touches here and there that just stand out every so often, and the subtleties are apparent all the time. It feels like a story of a family that is intended to get back to its roots, the common people ( if there is such a thing!!! ), but it is always stopped before it returns. And the acts that stop this return are always tragic, and not always obvious. We usually find the answers as to why things happened but the characters mostly do not, and this has caused tremendous pain along the way. A series of revenges and returns to what has become a "cursed" family, with a nice double take on the family's last name in Italian.
An absolutely well photographed film, with not a frame that seems out of place, and with some subtle shots that just leave your heart moved. Wonderful story, and told as only an European could. A sense of history that Americans have not yet acquired, or acknowledged.
Beautiful film. Truly sad, but so well done.
4.5 GIBLOONS Pedro Sena. All rights Reserved. Member of the Internet Movie Critics Association
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


4. Learn to fly
<
>
To continue the journey in space, you must gain altitude. See the birds fly, they will teach you how to do it.
click image to continue
restart


class Repeater extends AnyRef
Class used via an implicit conversion to enable a times
method to be invoked
on Int
s to repeat a given side-effecting operation multiple times.
When an instance of this class is constructed, 0 and any positive number may be passed as num
,
but a negative number will result in an IllegalArgumentException
. If constructed with 0, the times
method
on the resulting instance will return without invoking the function passed to it. If constructed with 1, the times
method
will invoke the function passed to it once then return.
- Source
- TimesOnInt.scala
- Exceptions thrown
IllegalArgumentException
ifnum
is less than zero.
- Alphabetic
- By Inheritance
- Repeater
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Instance Constructors
-
new
Repeater(num: Int)
- num
the integer to which the
times
method will be added.
- Exceptions thrown
IllegalArgumentException
ifnum
is less than zero.
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @native() @throws( ... )
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
times(fun: ⇒ Unit): Unit
Executes the passed by-name parameter
num
number of times.Executes the passed by-name parameter
num
number of times.If the function completes abruptly with an exception, this method will complete abruptly with the same exception immediately. Thus in the case of an exception, this method may actually invoke the passed function fewer than
num
times.- fun
the by-name parameter to execute
num
times
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @throws( ... )


Is your mind blown yet?
This is our senior design project at CSUN. An Augmented Reality (AR) Turn-Based Strategy game. The player will have several number of characters based on the computer components that they can control to attack the opponent team and the main objective is to give 490 points damage to destroy the opponent’s supercomputer.
Players also can move their characters around the playing field and interact with items to spawn more characters that player can control or use them for defensive strategy (go into hiding to prepare for an ambush attack). The game can be played in several modes : Single-player mode (Human vs AI), Multiplayer 1v1 and Multiplayer 2v2.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close DescriptionLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close DescriptionLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close DescriptionLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close DescriptionLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close DescriptionLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close Description


---
title: Configuration for the eval component of train_and_evaluate
type: docs
repo: https://github.com/rstudio/tfestimators
menu:
main:
name: Configuration for the eval component of train_and_evaluate
- tfestimators
parent: tfestimators-reference
aliases:
- /reference/tfestimators/eval_spec.html
- /tfestimators/reference/eval_spec.html
- /guide/tfestimators/reference/eval_spec.html
- /tools/tools/tfestimators/reference/eval_spec.html
- /installation/tfestimators/reference/eval_spec.html
- /tutorials/tfestimators/reference/eval_spec.html
- /guide/tools/tfestimators/reference/eval_spec.html
- /deploy/tfestimators/reference/eval_spec.html
- /tools/tfestimators/reference/eval_spec.html
- /tutorials/tools/tfestimators/reference/eval_spec.html
---
EvalSpec
combines details of evaluation of the trained model as well as its
export. Evaluation consists of computing metrics to judge the performance of
the trained model. Export writes out the trained model on to external
storage.
eval_spec(input_fn, steps = 100, name = NULL, hooks = NULL,
exporters = NULL, start_delay_secs = 120, throttle_secs = 600)
| input_fn | Evaluation input function returning a tuple of:
|
| steps | Positive number of steps for which to evaluate model.
If |
| name | Name of the evaluation if user needs to run multiple evaluations on different data sets. Metrics for different evaluations are saved in separate folders, and appear separately in tensorboard. |
| hooks | List of session run hooks to run during evaluation. |
| exporters | List of |
| start_delay_secs | Start evaluating after waiting for this many seconds. |
| throttle_secs | Do not re-evaluate unless the last evaluation was started at least this many seconds ago. Of course, evaluation does not occur if no new checkpoints are available, hence, this is the minimum. |
Other training methods: train_and_evaluate.tf_estimator
,
train_spec


We are the non-veg specialist in the town. We are serving delicious
food from
five years back. Our restuarant is famous for the
non-veg receipes.
Visit our kitchen and feel the taste of our
food.
Welcome To The Tasty Kitchen
Laughter is brightest where food is best, we are serving it for you


Tabs are definied inside a tabset
element using a tab
element. Use the heading
attribute
on the tab
element or the tab-heading
element to define the tab heading, along with the .tab-title
class. The tabset type
can be assigned tabs minimal-tab
value to get the minimal tab. Set the
active
attribute to a property which is updated with whether the tab is active or not. You can use the disabled
attribute in a similar manner. Set the select
attribute to an expression that will be evaluated when the
tab is selected. The align
attribute can be set to text-center
to align the tab heading to
center. For the old style of tab strip, set the .outline-tab
class on the tabset
element instead
of setting the tab type.


--- layout: default title: GreenMail - Email Test Servers ---
Testing Your Sending Code - Example 1public void testYourSendingCode() throws Exception { GreenMail greenMail = new GreenMail(); //uses test ports by default greenMail.start<EMAIL_ADDRESS><EMAIL_ADDRESS>"subject", "body"); assertEquals("subject", greenMail.getReceivedMessages()[0].getSubject()); greenMail.stop(); //That's it! } Testing Your Sending Code - Example 2This example does basically the same as the one above but is more complex as it's purpose is to demonstrate additional features and utility methods.GreenMail greenMail; protected void tearDown() throws Exception { if (null!=greenMail) { greenMail.stop(); } super.tearDown(); } public void testYourSendingCode() throws Exception { //start all email servers using non-default ports. //See Javadoc for details greenMail = new GreenMail(ServerSetupTest.ALL); greenMail.start(); //use random content to avoid potential residual lingering problems final String subject = GreenMailUtil.random(); final String body = GreenMailUtil.random(); <PLACE YOUR SEND CODE HERE> //wait for max 5s for 1 email to arrive //waitForIncomingEmail() is useful if you're sending stuff asynchronously in a separate thread assertTrue(greenMail.waitForIncomingEmail(5000, 1)); //Retrieve using GreenMail API Message[] messages = greenMail.getReceivedMessages(); assertEquals(1, messages.length); assertEquals(subject, messages[0].getSubject()); assertEquals(body, GreenMailUtil.getBody(messages[0]).trim()); //if your send content as a 2 part multipart... assertTrue(messages[0].getContent() instanceof MimeMultipart); MimeMultipart mp = (MimeMultipart) messages[0].getContent(); assertEquals(2, mp.getCount()); BodyPart bp; assertEquals(multipart_body1, GreenMailUtil.getBody(mp.getBodyPart(0)).trim()); assertEquals(multipart_body2, GreenMailUtil.getBody(mp.getBodyPart(1)).trim()); } Test Your Retrieving Codeprotected void tearDown() throws Exception { if (null!=greenMail) { greenMail.stop(); } super.tearDown(); } /** * Places an email in a users inbox directly for testing your retrieval code */ public void testYourRetrievingCode_by_insertion() throws Exception { //start all email servers using non-default ports. //See Javadoc for details greenMail = new GreenMail(ServerSetupTest.ALL); greenMail.start(); //use random content to avoid potential residual lingering problems final String subject = GreenMailUtil.random(); final String body = GreenMailUtil.random(); MimeMessage message = <CONSTRUCT MESSAGE > User user =<EMAIL_ADDRESS>"waelc", "soooosecret"); user.deliver(message); assertEquals(1, greenMail.getReceivedMessages().length); <PLACE YOUR RETRIVE AND VERIFICATION CODE HERE> } /** * Sends an email using SMTP for testing your retrieval code */ public void testYourRetrievingCodeBySending() throws Exception { //start all email servers using non-default ports. //See Javadoc for details greenMail = new GreenMail(ServerSetupTest.ALL); greenMail.start(); //use random content to avoid potential residual lingering problems final String subject = GreenMailUtil.random(); final String body = GreenMailUtil.random<EMAIL_ADDRESS><EMAIL_ADDRESS>subject, body); //wait for max 5s for 1 email to arrive assertTrue(greenMail.waitForIncomingEmail(5000, 1)); <PLACE YOUR RETRIVE AND VERIFICATION CODE HERE> } |


Running Spark on Mesos
- Security
- How it Works
- Installing Mesos
- Connecting Spark to Mesos
- Mesos Run Modes
- Mesos Docker Support
- Running Alongside Hadoop
- Dynamic Resource Allocation with Mesos
- Configuration
- Troubleshooting and Debugging
Spark can run on hardware clusters managed by Apache Mesos.
The advantages of deploying Spark with Mesos include:
- dynamic partitioning between Spark and other frameworks
- scalable partitioning between multiple instances of Spark
Security
Security in Spark is OFF by default. This could mean you are vulnerable to attack by default. Please see Spark Security and the specific security sections in this doc before running Spark.
How it Works
In a standalone cluster deployment, the cluster manager in the below diagram is a Spark master instance. When using Mesos, the Mesos master replaces the Spark master as the cluster manager.
Now when a driver creates a job and starts issuing tasks for scheduling, Mesos determines what machines handle what tasks. Because it takes into account other frameworks when scheduling these many short-lived tasks, multiple frameworks can coexist on the same cluster without resorting to a static partitioning of resources.
To get started, follow the steps below to install Mesos and deploy Spark jobs via Mesos.
Installing Mesos
Spark 3.0.1 is designed for use with Mesos 1.0.0 or newer and does not require any special patches of Mesos. File and environment-based secrets support requires Mesos 1.3.0 or newer.
If you already have a Mesos cluster running, you can skip this Mesos installation step.
Otherwise, installing Mesos for Spark is no different than installing Mesos for use by other frameworks. You can install Mesos either from source or using prebuilt packages.
From Source
To install Apache Mesos from source, follow these steps:
- Download a Mesos release from a mirror
- Follow the Mesos Getting Started page for compiling and installing Mesos
Note: If you want to run Mesos without installing it into the default paths on your system
(e.g., if you lack administrative privileges to install it), pass the
--prefix
option to configure
to tell it where to install. For example, pass
--prefix=/home/me/mesos
. By default the prefix is /usr/local
.
Third-Party Packages
The Apache Mesos project only publishes source releases, not binary packages. But other third party projects publish binary releases that may be helpful in setting Mesos up.
One of those is Mesosphere. To install Mesos using the binary releases provided by Mesosphere:
- Download Mesos installation package from downloads page
- Follow their instructions for installation and configuration
The Mesosphere installation documents suggest setting up ZooKeeper to handle Mesos master failover, but Mesos can be run without ZooKeeper using a single master as well.
Verification
To verify that the Mesos cluster is ready for Spark, navigate to the Mesos master webui at port
:5050
Confirm that all expected machines are present in the slaves tab.
Connecting Spark to Mesos
To use Mesos from Spark, you need a Spark binary package available in a place accessible by Mesos, and a Spark driver program configured to connect to Mesos.
Alternatively, you can also install Spark in the same location in all the Mesos slaves, and configure
spark.mesos.executor.home
(defaults to SPARK_HOME) to point to that location.
Authenticating to Mesos
When Mesos Framework authentication is enabled it is necessary to provide a principal and secret by which to authenticate Spark to Mesos. Each Spark job will register with Mesos as a separate framework.
Depending on your deployment environment you may wish to create a single set of framework credentials that are shared across all users or create framework credentials for each user. Creating and managing framework credentials should be done following the Mesos Authentication documentation.
Framework credentials may be specified in a variety of ways depending on your deployment environment and security requirements. The most simple way is to specify the spark.mesos.principal
and spark.mesos.secret
values directly in your Spark configuration. Alternatively you may specify these values indirectly by instead specifying spark.mesos.principal.file
and spark.mesos.secret.file
, these settings point to files containing the principal and secret. These files must be plaintext files in UTF-8 encoding. Combined with appropriate file ownership and mode/ACLs this provides a more secure way to specify these credentials.
Additionally, if you prefer to use environment variables you can specify all of the above via environment variables instead, the environment variable names are simply the configuration settings uppercased with .
replaced with _
e.g. SPARK_MESOS_PRINCIPAL
.
Credential Specification Preference Order
Please note that if you specify multiple ways to obtain the credentials then the following preference order applies. Spark will use the first valid value found and any subsequent values are ignored:
spark.mesos.principal
configuration settingSPARK_MESOS_PRINCIPAL
environment variablespark.mesos.principal.file
configuration settingSPARK_MESOS_PRINCIPAL_FILE
environment variable
An equivalent order applies for the secret. Essentially we prefer the configuration to be specified directly rather than indirectly by files, and we prefer that configuration settings are used over environment variables.
Deploy to a Mesos running on Secure Sockets
If you want to deploy a Spark Application into a Mesos cluster that is running in a secure mode there are some environment variables that need to be set.
LIBPROCESS_SSL_ENABLED=true
enables SSL communicationLIBPROCESS_SSL_VERIFY_CERT=false
verifies the ssl certificateLIBPROCESS_SSL_KEY_FILE=pathToKeyFile.key
path to keyLIBPROCESS_SSL_CERT_FILE=pathToCRTFile.crt
the certificate file to be used
All options can be found at http://mesos.apache.org/documentation/latest/ssl/
Then submit happens as described in Client mode or Cluster mode below
Uploading Spark Package
When Mesos runs a task on a Mesos slave for the first time, that slave must have a Spark binary
package for running the Spark Mesos executor backend.
The Spark package can be hosted at any Hadoop-accessible URI, including HTTP via http://
,
Amazon Simple Storage Service via s3n://
, or HDFS via hdfs://
.
To use a precompiled package:
- Download a Spark binary package from the Spark download page
- Upload to hdfs/http/s3
To host on HDFS, use the Hadoop fs put command: hadoop fs -put spark-3.0.1.tar.gz
/path/to/spark-3.0.1.tar.gz
Or if you are using a custom-compiled version of Spark, you will need to create a package using
the dev/make-distribution.sh
script included in a Spark source tarball/checkout.
- Download and build Spark using the instructions here
- Create a binary package using
./dev/make-distribution.sh --tgz
. - Upload archive to http/s3/hdfs
Using a Mesos Master URL
The Master URLs for Mesos are in the form mesos://host:5050
for a single-master Mesos
cluster, or mesos://zk://host1:2181,host2:2181,host3:2181/mesos
for a multi-master Mesos cluster using ZooKeeper.
Client Mode
In client mode, a Spark Mesos framework is launched directly on the client machine and waits for the driver output.
The driver needs some configuration in spark-env.sh
to interact properly with Mesos:
- In
spark-env.sh
set some environment variables:export MESOS_NATIVE_JAVA_LIBRARY=<path to libmesos.so>
. This path is typically<prefix>/lib/libmesos.so
where the prefix is/usr/local
by default. See Mesos installation instructions above. On Mac OS X, the library is calledlibmesos.dylib
instead oflibmesos.so
.export SPARK_EXECUTOR_URI=<URL of spark-3.0.1.tar.gz uploaded above>
.
- Also set
spark.executor.uri
to<URL of spark-3.0.1.tar.gz>
.
Now when starting a Spark application against the cluster, pass a mesos://
URL as the master when creating a SparkContext
. For example:
(You can also use spark-submit
and configure spark.executor.uri
in the conf/spark-defaults.conf file.)
When running a shell, the spark.executor.uri
parameter is inherited from SPARK_EXECUTOR_URI
, so
it does not need to be redundantly passed in as a system property.
Cluster mode
Spark on Mesos also supports cluster mode, where the driver is launched in the cluster and the client can find the results of the driver from the Mesos Web UI.
To use cluster mode, you must start the MesosClusterDispatcher
in your cluster via the sbin/start-mesos-dispatcher.sh
script,
passing in the Mesos master URL (e.g: mesos://host:5050). This starts the MesosClusterDispatcher
as a daemon running on the host.
Note that the MesosClusterDispatcher
does not support authentication. You should ensure that all network access to it is
protected (port 7077 by default).
By setting the Mesos proxy config property (requires mesos version >= 1.4), --conf spark.mesos.proxy.baseURL=http://localhost:5050
when launching the dispatcher, the mesos sandbox URI for each driver is added to the mesos dispatcher UI.
If you like to run the MesosClusterDispatcher
with Marathon, you need to run the MesosClusterDispatcher
in the foreground (i.e: ./bin/spark-class org.apache.spark.deploy.mesos.MesosClusterDispatcher
). Note that the MesosClusterDispatcher
not yet supports multiple instances for HA.
The MesosClusterDispatcher
also supports writing recovery state into Zookeeper. This will allow the MesosClusterDispatcher
to be able to recover all submitted and running containers on relaunch. In order to enable this recovery mode, you can set SPARK_DAEMON_JAVA_OPTS in spark-env by configuring spark.deploy.recoveryMode
and related spark.deploy.zookeeper.* configurations.
For more information about these configurations please refer to the configurations doc.
You can also specify any additional jars required by the MesosClusterDispatcher
in the classpath by setting the environment variable SPARK_DAEMON_CLASSPATH in spark-env.
From the client, you can submit a job to Mesos cluster by running spark-submit
and specifying the master URL
to the URL of the MesosClusterDispatcher
(e.g: mesos://dispatcher:7077). You can view driver statuses on the
Spark cluster Web UI.
For example:
Note that jars or python files that are passed to spark-submit should be URIs reachable by Mesos slaves, as the Spark driver doesn’t automatically upload local jars.
Mesos Run Modes
Spark can run over Mesos in two modes: “coarse-grained” (default) and “fine-grained” (deprecated).
Coarse-Grained
In “coarse-grained” mode, each Spark executor runs as a single Mesos task. Spark executors are sized according to the following configuration variables:
- Executor memory:
spark.executor.memory
- Executor cores:
spark.executor.cores
- Number of executors:
spark.cores.max
/spark.executor.cores
Please see the Spark Configuration page for details and default values.
Executors are brought up eagerly when the application starts, until
spark.cores.max
is reached. If you don’t set spark.cores.max
, the
Spark application will consume all resources offered to it by Mesos,
so we, of course, urge you to set this variable in any sort of
multi-tenant cluster, including one which runs multiple concurrent
Spark applications.
The scheduler will start executors round-robin on the offers Mesos gives it, but there are no spread guarantees, as Mesos does not provide such guarantees on the offer stream.
In this mode Spark executors will honor port allocation if such is
provided from the user. Specifically, if the user defines
spark.blockManager.port
in Spark configuration,
the mesos scheduler will check the available offers for a valid port
range containing the port numbers. If no such range is available it will
not launch any task. If no restriction is imposed on port numbers by the
user, ephemeral ports are used as usual. This port honouring implementation
implies one task per host if the user defines a port. In the future network,
isolation shall be supported.
The benefit of coarse-grained mode is much lower startup overhead, but at the cost of reserving Mesos resources for the complete duration of the application. To configure your job to dynamically adjust to its resource requirements, look into Dynamic Allocation.
Fine-Grained (deprecated)
NOTE: Fine-grained mode is deprecated as of Spark 2.0.0. Consider using Dynamic Allocation for some of the benefits. For a full explanation see SPARK-11857
In “fine-grained” mode, each Spark task inside the Spark executor runs as a separate Mesos task. This allows multiple instances of Spark (and other frameworks) to share cores at a very fine granularity, where each application gets more or fewer cores as it ramps up and down, but it comes with an additional overhead in launching each task. This mode may be inappropriate for low-latency requirements like interactive queries or serving web requests.
Note that while Spark tasks in fine-grained will relinquish cores as they terminate, they will not relinquish memory, as the JVM does not give memory back to the Operating System. Neither will executors terminate when they’re idle.
To run in fine-grained mode, set the spark.mesos.coarse
property to false in your
SparkConf:
You may also make use of spark.mesos.constraints
to set
attribute-based constraints on Mesos resource offers. By default, all
resource offers will be accepted.
For example, Let’s say spark.mesos.constraints
is set to os:centos7;us-east-1:false
, then the resource offers will
be checked to see if they meet both these constraints and only then will be accepted to start new executors.
To constrain where driver tasks are run, use spark.mesos.driver.constraints
Mesos Docker Support
Spark can make use of a Mesos Docker containerizer by setting the property spark.mesos.executor.docker.image
in your SparkConf.
The Docker image used must have an appropriate version of Spark already part of the image, or you can have Mesos download Spark via the usual methods.
Requires Mesos version 0.20.1 or later.
Note that by default Mesos agents will not pull the image if it already exists on the agent. If you use mutable image
tags you can set spark.mesos.executor.docker.forcePullImage
to true
in order to force the agent to always pull the
image before running the executor. Force pulling images is only available in Mesos version 0.22 and above.
Running Alongside Hadoop
You can run Spark and Mesos alongside your existing Hadoop cluster by just launching them as a
separate service on the machines. To access Hadoop data from Spark, a full hdfs://
URL is required
(typically hdfs://<namenode>:9000/path
, but you can find the right URL on your Hadoop Namenode web
UI).
In addition, it is possible to also run Hadoop MapReduce on Mesos for better resource isolation and sharing between the two. In this case, Mesos will act as a unified scheduler that assigns cores to either Hadoop or Spark, as opposed to having them share resources via the Linux scheduler on each node. Please refer to Hadoop on Mesos.
In either case, HDFS runs separately from Hadoop MapReduce, without being scheduled through Mesos.
Dynamic Resource Allocation with Mesos
Mesos supports dynamic allocation only with coarse-grained mode, which can resize the number of executors based on statistics of the application. For general information, see Dynamic Resource Allocation.
The External Shuffle Service to use is the Mesos Shuffle Service. It provides shuffle data cleanup functionality
on top of the Shuffle Service since Mesos doesn’t yet support notifying another framework’s
termination. To launch it, run $SPARK_HOME/sbin/start-mesos-shuffle-service.sh
on all slave nodes, with spark.shuffle.service.enabled
set to true
.
This can also be achieved through Marathon, using a unique host constraint, and the following command: ./bin/spark-class org.apache.spark.deploy.mesos.MesosExternalShuffleService
.
Configuration
See the configuration page for information on Spark configurations. The following configs are specific for Spark on Mesos.
Spark Properties
| Property Name | Default | Meaning | Since Version |
|---|---|---|---|
spark.mesos.coarse |
true |
If set to true , runs over Mesos clusters in "coarse-grained" sharing mode, where Spark acquires one long-lived Mesos task on each machine.
If set to false , runs over Mesos cluster in "fine-grained" sharing mode, where one Mesos task is created per Spark task.
Detailed information in 'Mesos Run Modes'.
|
0.6.0 |
spark.mesos.extra.cores |
0 |
Set the extra number of cores for an executor to advertise. This does not result in more cores allocated. It instead means that an executor will "pretend" it has more cores, so that the driver will send it more tasks. Use this to increase parallelism. This setting is only used for Mesos coarse-grained mode. | 0.6.0 |
spark.mesos.mesosExecutor.cores |
1.0 |
(Fine-grained mode only) Number of cores to give each Mesos executor. This does not include the cores used to run the Spark tasks. In other words, even if no Spark task is being run, each Mesos executor will occupy the number of cores configured here. The value can be a floating point number. | 1.4.0 |
spark.mesos.executor.docker.image |
(none) |
Set the name of the docker image that the Spark executors will run in. The selected
image must have Spark installed, as well as a compatible version of the Mesos library.
The installed path of Spark in the image can be specified with spark.mesos.executor.home ;
the installed path of the Mesos library can be specified with spark.executorEnv.MESOS_NATIVE_JAVA_LIBRARY .
|
1.4.0 |
spark.mesos.executor.docker.forcePullImage |
false |
Force Mesos agents to pull the image specified in spark.mesos.executor.docker.image .
By default Mesos agents will not pull images they already have cached.
|
2.1.0 |
spark.mesos.executor.docker.parameters |
(none) |
Set the list of custom parameters which will be passed into the docker run command when launching the Spark executor on Mesos using the docker containerizer. The format of this property is a comma-separated list of
key/value pairs. Example:
key1=val1,key2=val2,key3=val3 |
2.2.0 |
spark.mesos.executor.docker.volumes |
(none) |
Set the list of volumes which will be mounted into the Docker image, which was set using
spark.mesos.executor.docker.image . The format of this property is a comma-separated list of
mappings following the form passed to docker run -v . That is they take the form:
[host_path:]container_path[:ro|:rw] |
1.4.0 |
spark.mesos.task.labels |
(none) | Set the Mesos labels to add to each task. Labels are free-form key-value pairs. Key-value pairs should be separated by a colon, and commas used to list more than one. If your label includes a colon or comma, you can escape it with a backslash. Ex. key:value,key2:a\:b. | 2.2.0 |
spark.mesos.executor.home |
driver side SPARK_HOME |
Set the directory in which Spark is installed on the executors in Mesos. By default, the
executors will simply use the driver's Spark home directory, which may not be visible to
them. Note that this is only relevant if a Spark binary package is not specified through
spark.executor.uri .
|
1.1.1 |
spark.mesos.executor.memoryOverhead |
executor memory * 0.10, with minimum of 384 |
The amount of additional memory, specified in MiB, to be allocated per executor. By default,
the overhead will be larger of either 384 or 10% of spark.executor.memory . If set,
the final overhead will be this value.
|
1.1.1 |
spark.mesos.uris |
(none) | A comma-separated list of URIs to be downloaded to the sandbox when driver or executor is launched by Mesos. This applies to both coarse-grained and fine-grained mode. | 1.5.0 |
spark.mesos.principal |
(none) | Set the principal with which Spark framework will use to authenticate with Mesos. You can also specify this via the environment variable `SPARK_MESOS_PRINCIPAL`. | 1.5.0 |
spark.mesos.principal.file |
(none) | Set the file containing the principal with which Spark framework will use to authenticate with Mesos. Allows specifying the principal indirectly in more security conscious deployments. The file must be readable by the user launching the job and be UTF-8 encoded plaintext. You can also specify this via the environment variable `SPARK_MESOS_PRINCIPAL_FILE`. | 2.4.0 |
spark.mesos.secret |
(none) | Set the secret with which Spark framework will use to authenticate with Mesos. Used, for example, when authenticating with the registry. You can also specify this via the environment variable `SPARK_MESOS_SECRET`. | 1.5.0 |
spark.mesos.secret.file |
(none) | Set the file containing the secret with which Spark framework will use to authenticate with Mesos. Used, for example, when authenticating with the registry. Allows for specifying the secret indirectly in more security conscious deployments. The file must be readable by the user launching the job and be UTF-8 encoded plaintext. You can also specify this via the environment variable `SPARK_MESOS_SECRET_FILE`. | 2.4.0 |
spark.mesos.role |
* |
Set the role of this Spark framework for Mesos. Roles are used in Mesos for reservations and resource weight sharing. | 1.5.0 |
spark.mesos.constraints |
(none) |
Attribute-based constraints on mesos resource offers. By default, all resource offers will be accepted. This setting
applies only to executors. Refer to Mesos
Attributes & Resources for more information on attributes.
|
1.5.0 |
spark.mesos.driver.constraints |
(none) |
Same as spark.mesos.constraints except applied to drivers when launched through the dispatcher. By default,
all offers with sufficient resources will be accepted.
|
2.2.1 |
spark.mesos.containerizer |
docker |
This only affects docker containers, and must be one of "docker" or "mesos". Mesos supports two types of containerizers for docker: the "docker" containerizer, and the preferred "mesos" containerizer. Read more here: http://mesos.apache.org/documentation/latest/container-image/ | 2.1.0 |
spark.mesos.driver.webui.url |
(none) |
Set the Spark Mesos driver webui_url for interacting with the framework. If unset it will point to Spark's internal web UI. | 2.0.0 |
spark.mesos.driver.labels |
(none) |
Mesos labels to add to the driver. See spark.mesos.task.labels
for formatting information.
|
2.3.0 |
spark.mesos.driver.secret.values ,
spark.mesos.driver.secret.names ,
spark.mesos.executor.secret.values ,
spark.mesos.executor.secret.names ,
|
(none) |
A secret is specified by its contents and destination. These properties specify a secret's contents. To specify a secret's destination, see the cell below. You can specify a secret's contents either (1) by value or (2) by reference.
(1) To specify a secret by value, set the
spark.mesos.driver.secret.values=guessme
(2) To specify a secret that has been placed in a secret store
by reference, specify its name within the secret store
by setting the spark.mesos.driver.secret.names=password Note: To use a secret store, make sure one has been integrated with Mesos via a custom SecretResolver module. To specify multiple secrets, provide a comma-separated list: spark.mesos.driver.secret.values=guessme,passwd123or spark.mesos.driver.secret.names=password1,password2 |
2.3.0 |
spark.mesos.driver.secret.envkeys ,
spark.mesos.driver.secret.filenames ,
spark.mesos.executor.secret.envkeys ,
spark.mesos.executor.secret.filenames ,
|
(none) |
A secret is specified by its contents and destination. These properties specify a secret's destination. To specify a secret's contents, see the cell above. You can specify a secret's destination in the driver or executors as either (1) an environment variable or (2) as a file.
(1) To make an environment-based secret, set the
spark.mesos.driver.secret.envkeys=PASSWORD
(2) To make a file-based secret, set the
spark.mesos.driver.secret.filenames=pwdfile Paths are relative to the container's work directory. Absolute paths must already exist. Note: File-based secrets require a custom SecretResolver module. To specify env vars or file names corresponding to multiple secrets, provide a comma-separated list: spark.mesos.driver.secret.envkeys=PASSWORD1,PASSWORD2or spark.mesos.driver.secret.filenames=pwdfile1,pwdfile2 |
2.3.0 |
spark.mesos.driverEnv.[EnvironmentVariableName] |
(none) |
This only affects drivers submitted in cluster mode. Add the environment variable specified by EnvironmentVariableName to the driver process. The user can specify multiple of these to set multiple environment variables. | 2.1.0 |
spark.mesos.dispatcher.webui.url |
(none) |
Set the Spark Mesos dispatcher webui_url for interacting with the framework. If unset it will point to Spark's internal web UI. | 2.0.0 |
spark.mesos.dispatcher.driverDefault.[PropertyName] |
(none) |
Set default properties for drivers submitted through the dispatcher. For example, spark.mesos.dispatcher.driverProperty.spark.executor.memory=32g results in the executors for all drivers submitted in cluster mode to run in 32g containers. | 2.1.0 |
spark.mesos.dispatcher.historyServer.url |
(none) |
Set the URL of the history server. The dispatcher will then link each driver to its entry in the history server. | 2.1.0 |
spark.mesos.gpus.max |
0 |
Set the maximum number GPU resources to acquire for this job. Note that executors will still launch when no GPU resources are found since this configuration is just an upper limit and not a guaranteed amount. | 2.1.0 |
spark.mesos.network.name |
(none) |
Attach containers to the given named network. If this job is launched in cluster mode, also launch the driver in the given named network. See the Mesos CNI docs for more details. | 2.1.0 |
spark.mesos.network.labels |
(none) |
Pass network labels to CNI plugins. This is a comma-separated list
of key-value pairs, where each key-value pair has the format key:value.
Example:
key1:val1,key2:val2See the Mesos CNI docs for more details. |
2.3.0 |
spark.mesos.fetcherCache.enable |
false |
If set to `true`, all URIs (example: `spark.executor.uri`, `spark.mesos.uris`) will be cached by the Mesos Fetcher Cache | 2.1.0 |
spark.mesos.driver.failoverTimeout |
0.0 |
The amount of time (in seconds) that the master will wait for the driver to reconnect, after being temporarily disconnected, before it tears down the driver framework by killing all its executors. The default value is zero, meaning no timeout: if the driver disconnects, the master immediately tears down the framework. | 2.3.0 |
spark.mesos.rejectOfferDuration |
120s |
Time to consider unused resources refused, serves as a fallback of `spark.mesos.rejectOfferDurationForUnmetConstraints`, `spark.mesos.rejectOfferDurationForReachedMaxCores` | 2.2.0 |
spark.mesos.rejectOfferDurationForUnmetConstraints |
spark.mesos.rejectOfferDuration |
Time to consider unused resources refused with unmet constraints | 1.6.0 |
spark.mesos.rejectOfferDurationForReachedMaxCores |
spark.mesos.rejectOfferDuration |
Time to consider unused resources refused when maximum number of cores
spark.cores.max is reached
|
2.0.0 |
spark.mesos.appJar.local.resolution.mode |
host |
Provides support for the `local:///` scheme to reference the app jar resource in cluster mode. If user uses a local resource (`local:///path/to/jar`) and the config option is not used it defaults to `host` eg. the mesos fetcher tries to get the resource from the host's file system. If the value is unknown it prints a warning msg in the dispatcher logs and defaults to `host`. If the value is `container` then spark submit in the container will use the jar in the container's path: `/path/to/jar`. | 2.4.0 |
Troubleshooting and Debugging
A few places to look during debugging:
- Mesos master on port
:5050
- Slaves should appear in the slaves tab
- Spark applications should appear in the frameworks tab
- Tasks should appear in the details of a framework
- Check the stdout and stderr of the sandbox of failed tasks
- Mesos logs
- Master and slave logs are both in
/var/log/mesos
by default
- Master and slave logs are both in
And common pitfalls:
- Spark assembly not reachable/accessible
- Slaves must be able to download the Spark binary package from the
http://
,hdfs://
ors3n://
URL you gave
- Slaves must be able to download the Spark binary package from the
- Firewall blocking communications
- Check for messages about failed connections
- Temporarily disable firewalls for debugging and then poke appropriate holes


Pateint Details
Patient NID
Patient Name
Age
Gender
Address
Temperature
Weight
Blood Pressure
Date
Patient History
Click for Old Report
Date
Diagnosis
Medicine
Test Result
Cell 1
Cell 1
Cell 1
Cell 1
Patient Diagnosis
#
Symptoms
Duration
1
Select A Diagnosis
This is item 1
This is item 2
This is item 3
2
Select A Diagnosis
This is item 1
This is item 2
This is item 3
3
Select A Diagnosis
This is item 1
This is item 2
This is item 3
4
Select A Diagnosis
This is item 1
This is item 2
This is item 3
5
Select A Diagnosis
This is item 1
This is item 2
This is item 3
Medicine Table
#
Medicine
Dose
Duration
1
Select A Medicine
This is item 1
This is item 2
This is item 3
Select A Dose
1+1+1
1+1+0
1+0+1
Select A Duration
3 days
7 days
14 days
2
Select A Medicine
This is item 1
This is item 2
This is item 3
Select A Dose
1+1+1
1+1+0
1+0+1
Select A Duration
3 days
7 days
14 days
3
Select A Medicine
This is item 1
This is item 2
This is item 3
Select A Dose
1+1+1
1+1+0
1+0+1
Select A Duration
3 days
7 days
14 days
4
Select A Medicine
This is item 1
This is item 2
This is item 3
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1+1+1
1+1+0
1+0+1
Select A Duration
3 days
7 days
14 days
5
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This is item 1
This is item 2
This is item 3
Select A Dose
1+1+1
1+1+0
1+0+1
Select A Duration
3 days
7 days
14 days
Test Table
#
Test Name
1
Select A Test
This is item 1
This is item 2
This is item 3
2
Select A Test
This is item 1
This is item 2
This is item 3
3
Select A Test
This is item 1
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4
Select A Test
This is item 1
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5
Select A Test
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Submit


Hello world! Below will be the canvas where we will draw the text.
Here are some references for us: https://www.papaparse.com/docs#results, http://jsfiddle.net/eECar/16/, https://p5js.org/get-started/


Employment Opportunities
Thank you for your interest in employment opportunities with the Oak Park Township. Oak Park is a great place to live, work and play. We often post new opportunities, so please check back.
Oak Park Township is an Equal Opportunity Employer and is committed to diversity in the workplace. We offer numerous benefits including:
- Competitive compensation
- Emphasis on work-life balance
- Dedication to providing quality services to residents
- Opportunities for advancement and professional development
When a position is open at Oak Park Township we will post it here, and will place an announcement in the local press. If you are interested in a particular position, please submit a resume, cover letter and salary requirements to the staff listed in the announcement via email.
Current Employment Openings:
Senior Services Case Manager - Full Time
Oak Park Township is seeking a full time Case Manager to serve as a member of the Senior Services team to help the Township achieve its mission of: 1) addressing the needs of our community by providing comprehensive assessment of the needs of older adults to develop a care plan to ensure their needs are met; 2) providing information, advocacy, assistance, counseling, crisis management and referrals for older adults to remain living independently in the community as long as possible; 3) collaborating with community partners to develop service plans and ensure the needs of the older adults are met.
The Case Manager will be responsible for:
- Providing coordination and management of services to older adult clients in the elder abuse, Community Care, and geriatric case management programs.
- Conducting comprehensive assessments according to program regulations and standards.
- Engaging with staff, volunteers, and program participants and utilizing information gained to meet the changing needs of the older adults.
The position requires a candidate with a Bachelor’s degree in social work, or a registered nurse and at least one year experience in service provision to older persons such as assessment, direct service, or authorization of formal service for the elderly. Experience with Microsoft Office, databases and applicant tracking systems is also required. The full job description may be found
here.
Preferred Applicants will have the following:
- Valid Illinois Driver’s License and liability insurance
- Knowledge of Title III Older American’s Act Services, Medicaid, Medicare, the Community Care Program, Social Security and Social Security Disability and other community services
- Practical knowledge of the social, psychological and physiological aspects of aging
Oak Park Township is a unique unit of Oak Park local government, providing human services to vulnerable citizens of our community: at-risk youth needing guidance to improve their chances for a successful life, senior citizens needing support to maintain their independence and financially struggling residents who need monthly assistance and job seeking help. In addition, the Township provides funding for mental health agencies and assistance with property tax inquiries and appeals.
Oak Park Township is an Equal Opportunity Employer.
For more information on the Oak Park Township, please visit: http://www.oakparktownship.org.
Please review our volunteer opportunities here.


:: com :: sun :: star :: datatransfer :: dnd ::
|
| interface XDragGestureListener |
- Base Interfaces
XDragGestureListener
┗ ::com::sun::star::lang::XEventListener
| ::com::sun::star::lang::XEventListener |
- (referenced interface's summary:)
- base interface for all event listeners interfaces.
|
|
- Description
- This interface will be used by a XDragGestureRecognizer
when it detects a drag initiating gesture.
The implementor of this interface is responsible for starting the drag
as a result of receiving such notification.
|
| Methods' Details |
dragGestureRecognized
- Description
- A XDragGestureRecognizer has detected a platform-dependent
drag initiating gesture and is notifying this listener in order
for it to initiate the action for the user.
- Parameter dge
- The DragGestureEvent describing the gesture that has just occurred.
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Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


Enter the names of your players in the table below and hit 'MIX ME!' to randomly assign classes. Use the Copy Box to copy the names with their randomly assigned classes or download a screenshot of the table.
Get the Table filled first.
Please make sure that all six names are entered.


Declaration :
Operation bin2hexa |
# Converts a binary buffer into an hexadecimal representation
Declaration :
Operation hexa2bin |
# Converts an hexadecimal representation into a binary buffer
Declaration :
Operation at_offset |
# byte access into a binary buffer
Declaration :


runtime.gcControllerState.scanWork (field)
9 uses
runtime (current package)
mgc.go#L351: scanWork int64
mgc.go#L434: c.scanWork = 0
mgc.go#L532: work := atomic.Loadint64(&c.scanWork)
mgc.go#L657: W_a := c.scanWork
mgc.go#L2157: memstats.heap_scan = uint64(gcController.scanWork)
mgcmark.go#L1054: atomic.Xaddint64(&gcController.scanWork, gcw.scanWork)
mgcmark.go#L1074: atomic.Xaddint64(&gcController.scanWork, gcw.scanWork)
mgcmark.go#L1146: atomic.Xaddint64(&gcController.scanWork, gcw.scanWork)
mgcwork.go#L278: atomic.Xaddint64(&gcController.scanWork, w.scanWork)
The pages are generated with Golds v0.2.7-preview. (GOOS=darwin GOARCH=amd64)


"Life here is amazing. Dragons used to be a bit of a problem, but now they’ve all moved in."
The official site for How To Train Your Dragon and Dreamworks Dragons. Watch trailers, clips and videos, play games, explore the world and discover dragons! "Fire up" your favorite stuff to help others find the hottest content and check back
regularly for fresh updates.


--- layout: post authors: ["Greg Wilson"] title: "There Ought to Be a Badge" date: 2013-12-10 time: "13:30:00" tags: ["Noticed"] ---
I feel like there should be a Software Carpentry badge for drawing one of these for someone for the first time.
— Amy Brown on Twitter


Transpole has an api available to get data from their services in real time. Create a web app that displays realtime the stations with the number of bikes/spots available.
The api is badly encoded. Before passing the data to the xml parser, simply replace utf-16 by utf-8.
$xml = str_replace('utf-16', 'utf-8', $xml);


Test your JavaScript knowledge with this five-question quiz.
Click "Start Quiz" to begin. You will be given 45 seconds to complete the quiz.
Each incorrect answer will result in a 10-second deduction from your time. Good luck!
Enter your initials for high score.
Then click "high scores" to see how you did.


{% extends "multigtfs/base.html" %} {% load staticfiles %} {% block head_title %}{{ block.super }} - Shape {{object}}{% endblock %} {% block head_extra %} {% if object.geometry %} {% endif %} {% endblock %} {% block page_title %}Shape {{object}}{% endblock %} {% block page_top_content_elem %} A Shape is the path a vehicle travels, on the road or on a track. {% endblock %} {% block page_middle_content %} {% if object.geometry %}
{% else %}This shape does not have a populated geometry. A shape must have at least 2 ShapePoints, and update_geometry() must be run on the shape.
{% endif %}


This is the repository I use to carry out toy hacking with forms and editing HTML technologies in order to figure out ideas as to what can be done.
Current experiments include:
Specifications to go with:
Feedback is welcome on anything you might find here. Don't use anything you find in production unless you really know what you're doing.
Past experiments:


So far we’ve know how to draw basic shapes such as circle, rectangle and ellipse with D3. In this section, we will learn how to use D3 to interpret a section of data and draw a pie chart with it. Before we actually draw the pie chart, let’s first talk about what type of data can D3 interpret.
The most common structure of data that D3 could understand is array. For example:
var matrix = [
[11975, 5871, 8916, 2868],
[ 1951, 10048, 2060, 6171],
[ 8010, 16145, 8090, 8045],
[ 1013, 990, 940, 6907]
];
var tr = d3.select("body")
.append("table")
.selectAll("tr")
.data(matrix)
.enter().append("tr");
var td = tr.selectAll("td")
.data(function(d) { return d;)
.enter().append("td")
.text(function(d) { return d; });
The API we are going to use is: selection.data([data[, key]])
In this example, we create a matrix with 4 rows and 4 columns. This matrix is represent by an array of 4 subarrays. We also could make an array of objects. For example:
var jsonCircles = [
{x_axis: 30,
y_axis: 30,
radius: 20,
color : "green"
}, {
x_axis: 70,
y_axis: 70,
radius: 20,
color : "purple"
}, {
x_axis: 110,
y_axis: 100,
radius: 20,
color : "red"
}];
This array contains 3 objects which are circles of different positions and colors. Note that the objects could also be JSON objects.
Now we've understand the data structure of D3. let's move on to talk about how to draw pie charts with an array of objects. First let’s define some data:
var dataset = [
{ label: 'Foo', count: 10 },
{ label: 'Bar', count: 20 },
{ label: 'Baz', count: 30 },
{ label: 'Boo', count: 40 }
];
For the color of the pie chart we could use such API: d3.scaleOrdinal(d3.schemeCategory20b)
. This contains an array of twenty categorical colors represented as RGB hexadecimal strings. Next we will make a SVG element:
var svg = d3.select('#chart')
.append('svg')
.attr('width', width)
.attr('height', height)
.append('g')
.attr('transform', 'translate(' + (width / 2) + ',' + (height / 2) + ')');
This may look pretty complicated at the first sight. But if you could take a look line by line, you will find the idea is the same as the previous section. This code first uses the “select” method to select where to create the chart. In this example, the we choose to create the chart at the id = chart. Then it uses the append method to put the pie chart to such location. Next, we set the width and height of the SVG container. The “g” element means the container contains a group of SVG elements, and “transform” attribute defines a list of transform definitions that are applied to an element and the element's children. To set the radius of the pie chart, we use the d3.arc()
API:
var radius = Math.min(width, height) / 2;
var arc = d3.arc()
.innerRadius(0)
.outerRadius(radius);
The inner radius is set to 0 because all the pies are gathered at one point in the middle of the circle.
For the angles of each segments, we use d3.pie()
API:
var pie = d3.pie()
.value(function(d) { return d.count; })
.sort(null);
The function returns each object's count as the angle. Here is our example chart:
Here is the code for our chart: