Sauce Sync is a lightweight and open source BaaS that makes it easy to sync per-user data
Built on top of Google's Cloud Platform using App Engine, Cloud Endpoints, Cloud Messaging, and Cloud Datastore so that you get:With App Engine and Cloud Datastore, you never have to worry about provisioning application or database instances.
Google Cloud Endpoints automatically generates Android, iOS, and Javascript libraries, making it easy to develop apps against your backend. Other clients can use the lightweight REST API.
GCM means that iOS and Android devices sync data in real time.
Frictionless signin with Google so you don't have to worry about authentication.
Anatamy of a Sync Record
A sync record is a simple JSON document.
{
"type" : "Task",
"data" : {
"localId" : "12",
"title" : "Mow the lawn",
"description" : "Also, I should probably buy a lawn mower",
"priority" : 9,
"tags" : [
"weekend",
"chores",
"shopping"
]
},
"deleted" : false,
"entityId" : "DCEDFFEEFCDEF",
"syncId": "152.1455155052639",
"ignored" : [
"localId"
],
"indexes" : [
"projectId",
"priority"
],
"references" : [
{
"arrayIndex": 0,
"key": "projectId"
}
]
}
type (required) - Type of the record, can be used for queries and selective sync.
data (required) - The data you want to sync. Strings, Booleans, numbers, and arrays of primites are supported.
deleted - set if the record is deleted, defaults to false. Deleted records should be removed locally, and will get reclaimed by the system in the future.
entityId - id of the sync record
ignored - Array of fields present in the "data" object that should not be persisted. Ignored fields are still returned in the "syncedEntities" array, but wont appear in other clients or subsequent syncs. Useful for passing client-only data between pre and post sync method IE an auto incrementing SQLITE id.
indexes - Array used to tell the backend which fields should be indexed. Indexed fields are usable in stand alone queries and selective sync operations. No indexes are required to perform normal sync operations.
syncId - Id that represents the sync state of the record. The system uses this to determine which objects are out of sync.
references - Used to tell the backend to inject an entityId from another record in this request into this record's data field as the provided "key". "arrayIndex" is the index of the object's entityId you want to inject. Useful when syncing two new records that dont have an entityId yet, but have some relationship, for example syncing a new Project and it's Task in one request.
The API
Sync
General purpose sync method; create, update, and delete any number of sync records at once. Provides three forms of conflict resolution (server wins, client wins, manual). Returns the records you synced and a delta of what changed since your last sync. It's also possible to 'selectively sync' records based on a type or an attribute for when you only want to remain in-sync with a subset of a user's data. The most common 'selective sync' operation is syncing based on a type.
If a client has fallen too far out of sync, a 'too far out of sync' response is returned that tells a client that they should purge their local data and re-sync.
Request
POST https://sauce-sync.appspot.com/_ah/api/sauce/v1/sync
{
"conflictResolutionType": "MANUAL",
"objectsToSync":
[
...any number of sync records
],
"senderId": "Axcf12Edfs",
"syncId": "152.1455155052639"
}
conflictResolutionType - conflict resolution strategy, can be "MANUAL", "CLIENT_WINS", or "SERVER_WINS". Default is manual. If manual is used, when two sync operations modify the same record, the second one will get a conflict exception. A client can decide how to merge the changes, then perform a sync again.
objectsToSync - any number of sync records can be updated, created, or deleted at once
senderId - id of the client that made the request, passed as an extra by GCM in order for clients to avoid circular sync.
syncId - id that represents your sync state. Should be stored by the client and passed in on subsequent sync requests
Success Response
{
"syncedEntities": [
...the records you modified
],
"syncedDelta": [
... list of synced records that have changed since you last synced
],
"syncId": "1.1455155052639"
}
syncedEntities - all the sync records that you created, modified, and deleted. Created records will come back with a new "entityId" and all synced records will have their "lastSyncedId" bumped up.
syncedDelta - a list of sync records that have changed since you last synced. Clients should store the updated records to remain in sync.
syncId - id that represents your sync state. Should be stored by the client and passed in on subsequent sync requests
Out of sync response
{
"tooFarOutOfSyncEntities": [
// list of sync records
],
"syncId": "1.1455155052639"
}
tooFarOutOfSyncEntities - a list of sync records that need to be saved in order for the client to be 'in sync' after purging their cache of stored sync entities. This can only happen if a client has missed a sync operation for longer than a week.
syncId - id that represents your sync state once you store the out of sync records. Should be passed to subsequent sync requests
Try it outQuery
Allows a client to query for data without performing a sync operation. Useful for web apps or apps that only care about a subset of a user's data. Since Sauce Sync is built on Google Cloud Datastore, all queries must utilize an index. Only attributes marked as "indexed" may be queried.Request
GET https://sauce-sync.appspot.com/_ah/api/sauce/v1/query
{
"filters": [
{
"field": "priority",
"operator": "=",
"value": 50,
}
],
"type": "Task"
}
filters - array of filters
field - field that you are filtering on, must be marked as indexed in your sync record
operator - operation for the filter, can use "=", "<=", ">=", ">", or "<"
type - Type of object you want to filter, if not set any object type that matches the filter will be returned
Try it outSave
Lets the client create, update, or delete any number of records without performing a sync. Useful for clients that want to interact with a user's data, but dont want to grab the entire set. Commonly used with query and selective sync methods. This method is simplier than sync, and will never return a conflict, the last update will win.Request
POST https://sauce-sync.appspot.com/_ah/api/sauce/v1/save
{
"objectsToSave":
[
// any number of sync records
]
}
POST https://sauce-sync.appspot.com/_ah/api/sauce/v1/save
{
"objectsToSave":
[
// any number of sync records
]
}
objectsToSave (required) - any number of sync records that you want to create, update, or delete.
Response
{
"savedEntities": [
// list of records you created, updated, and deleted
]
}
savedEntities (required) - all the objects you created, updated, or deleted in your save request. Created entities will come back with their "entityId" populated.
Try it outPurge
Lets a client purge all of a user's data from the cloud. Only useful for when you want to remove a user from your system and start over. This method will synchronously remove all records, and reset the sync state. Normal deletes of sync records should go through the save and sync methods.Request
DELETE https://sauce-sync.appspot.com/_ah/api/sauce/v1/purge
Note that this method has no body and no response. A successful purge will return a 204.
Try it out
User Info
Convienece method for fetching G+ profile information. Returns email, user id, and the current sync id.
Request
GET https://sauce-sync.appspot.com/_ah/api/sauce/v1/userinfo
Response
{
"userId": "113449189818224073325",
"email"<EMAIL_ADDRESS>"syncId": "1.1455498272705",
}
Try it out
DELETE https://sauce-sync.appspot.com/_ah/api/sauce/v1/purge
GET https://sauce-sync.appspot.com/_ah/api/sauce/v1/userinfo
{
"userId": "113449189818224073325",
"email"<EMAIL_ADDRESS>"syncId": "1.1455498272705",
}


Claims
Create a claim (Paper based claims)
Create a new claim for a Member State that came by paper
Recent claims
| Claim ID | Status | Member State | From date | To date | Amount |
|---|---|---|---|---|---|
| 123862 | Open | Spain | 1 January 2016 | 31 June 2016 | € 2,763 |
| 123862 | Open | Sweden | 1 January 2016 | 31 June 2016 | € 2,763 |
| 9834123 | Open | Italy | 1 January 2016 | 31 June 2016 | € 322,763 |
| 9328497 | Open | Germany | 1 January 2016 | 31 June 2016 | € 239,235 |
| 7482348 | Open | Poland | 1 January 2016 | 31 June 2016 | € 4,932,234 |


Tracking cameras are getting very popular with extreme sports enthusiast. One example is the Soloshot, which is a camera, gimball, and tracking software system that follows a sports player. A similar solution is quadcopter follow me mode in which the drone will track a moving person. I've been thinking about building a tracking camera for Kitesurfers. As a first step I built an image classifier for kites:
This project was more of a heat check than a full blown effort to build a high quality classifier. I had not tried image classification in several years. The state of the art has moved quickly in the last few years. High quality facial reconigition is common. Human level accuracy on Image Net has been achived recently.
I did not start with a state-of-the art technique such as a Convolutional Neural Network. Instead I used the builtin OpenCV classifier which was laying around on my Linux box. This turned out to be OpenCV 2.4ish.
I used the HAAR clasifier which is described here. The algorithm consists of a HAAR feature extractor and a cascade classifier.
The classifer is trained on a small image, about 20x20 pixels. The classifer reports a yes or no indicating if the image contains the object of interest (a kite in this case).
To process a larger image the 20x20 pixel mask is tried out at each location in the larger image and also over a range of image scales. The size of the mask dictates the smallest feature that can be detected in an image.
The training set for the classifer consist of a small set of positive images and a larger set of negative images that do not contain the object. The layers of the cascade are trained to first accept all positive images and then to do an increasingly better job of rejecting negative images.
The images in the dataset came from my phone. I like to kitesurf and have quite a few photos of kites. Let's look at a sample of the raw images.
The raw images show some of the challenges in this task. Kites can be large or small features. There can be multiple kites in an image. Some pictures are upside down.
# Setup and utility routines
import numpy as np
import matplotlib.pyplot as plt
import cv2
import urllib
%matplotlib inline
def raw_images_url(url, filenames):
images = []
for filename in filenames:
img_url = url % filename
resp = urllib.urlopen(img_url)
image = np.asarray(bytearray(resp.read()), dtype="uint8")
image = cv2.imdecode(image, cv2.IMREAD_COLOR)
images.append(image)
return images
def show_images(cols, url, filenames):
images = raw_images_url(s3_url, filenames)
rows = (len(images) / cols) + 1
for i in range(len(images)):
plt.subplot(rows, cols, i + 1)
img = images[i]
img_to_plt = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
plt.imshow(img_to_plt)
plt.axis('off')
plt.show()
# Show a sample of raw images
s3_url = 'https://s3.amazonaws.com/beavercreekconsulting.com' + \
'/kite-detector/training-kite-detector/data-set-one/raw-images/kite/%s'
filenames = ['20150219_151842.jpg', '20150925_174219.jpg',
'20150925_174115.jpg', '20151113_152505.jpg',
'20150827_153839.jpg', '20150225_145526.jpg',
'20150827_153839.jpg', '20151113_152122.jpg',
'20141006_180437.jpg', '20150925_174210.jpg']
plt.figure(figsize=(20, 30))
show_images(2, s3_url, filenames)
The raw images were seperated in to two sets: images that contain kites and images that do not. The dataset size is 42 images that contain kites and 644 images that do not contain kites.
OpenCV Cascade Classifier Training scripts were used to extract feature vectors and train the model.
The positive images were created by cropping kites from the raw images. A description file and the images are processed with the opencv_createsamples
script to create the input vector/feature file. The description file lists the images and location of the object in image coordinates. A total of 62 positive images were created.
# Show positive examples
s3_url = 'https://s3.amazonaws.com/beavercreekconsulting.com' + \
'/kite-detector/training-kite-detector/data-set-one/training/kite-crops/%s'
filenames = [
'20150925_174219_1.jpg', '20141006_180445_1.jpg',
'20150225_145522_1.jpg', '20141006_180443_3.jpg',
'20150225_145418_1.jpg', '20151113_152504_3.jpg',
'20150925_174220_1.jpg', '20151113_152502_3.jpg',
'20151113_152556_2.jpg', '20151113_152504_4.jpg'
]
show_images(4, s3_url, filenames)
# Show negative examples
s3_url = 'https://s3.amazonaws.com/beavercreekconsulting.com' + \
'/kite-detector/training-kite-detector/data-set-one/training/background/%s'
filenames = [
'20150225_145822.jpg', '20150201_104716.jpg',
'20141101_155238.jpg', '20150225_154228.jpg',
'20141129_152508.jpg', '20150102_101522.jpg',
'20141101_160144.jpg', '20150828_153116.jpg',
'20141101_155712.jpg', '20150219_151904.jpg'
]
show_images(3, s3_url, filenames)
The images were further sub-divided into a training a test set.
| Image set | Positive Examples | Negative Examples |
|---|---|---|
| Raw | 42 | 644 |
| Training | 47 | 632 |
| Test | 12 | 51 |
There are more positive examples that raw kite images since many raw images contained more than one kite. More than one positive image is created by multiple crops of one raw image.
The following console trace is from the best training session:
marty@ubuntu:~/dev/kite-detector/training-one$ opencv_traincascade -data classifier.2 -vec kite-crop.dat -bg more-background-desciptions.txt -numPos 50 -numNeg 632 -numStages 10 -numThreads 4 -w 50 -h 50 -featureType HAAR -maxFalseAlarmRate 0.25
PARAMETERS:
cascadeDirName: classifier.2
vecFileName: kite-crop.dat
bgFileName: more-background-desciptions.txt
numPos: 50
numNeg: 632
numStages: 10
precalcValBufSize[Mb] : 1024
precalcIdxBufSize[Mb] : 1024
acceptanceRatioBreakValue : -1
stageType: BOOST
featureType: HAAR
sampleWidth: 50
sampleHeight: 50
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.25
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100
mode: BASIC
===== TRAINING 0-stage =====
<BEGIN
POS count : consumed 50 : 50
NEG count : acceptanceRatio 632 : 1
Precalculation time: 14
+----+---------+---------+
| N | HR | FA |
+----+---------+---------+
| 1| 1| 1|
+----+---------+---------+
| 2| 1| 1|
+----+---------+---------+
| 3| 1| 1|
+----+---------+---------+
| 4| 1| 0.469937|
+----+---------+---------+
| 5| 1| 0.085443|
+----+---------+---------+
END>
===== TRAINING 1-stage =====
<BEGIN
POS count : consumed 50 : 50
NEG count : acceptanceRatio 632 : 0.142182
Precalculation time: 14
+----+---------+---------+
| N | HR | FA |
+----+---------+---------+
| 1| 1| 1|
+----+---------+---------+
| 2| 1| 1|
+----+---------+---------+
| 3| 1| 0.240506|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 26 minutes 12 seconds.
The tail end of the training session:
===== TRAINING 9-stage =====
<BEGIN
POS count : consumed 50 : 50
NEG count : acceptanceRatio 632 : 5.50661e-06
Precalculation time: 14
+----+---------+---------+
| N | HR | FA |
+----+---------+---------+
| 1| 1| 1|
+----+---------+---------+
| 2| 1| 1|
+----+---------+---------+
| 3| 1| 1|
+----+---------+---------+
| 4| 1| 0.634494|
+----+---------+---------+
| 5| 1| 0.393987|
+----+---------+---------+
| 6| 1| 0.21519|
+----+---------+---------+
END>
Training until now has taken 0 days 3 hours 22 minutes 48 seconds.
Traing stopped when the False Alarm rate dropped below 0.25. Training took 3.5 hours on a laptop with an i5 processor.
OpenCV provides a script to evaluate test time accuracy. The scripts could be run with this command
opencv_performance -data classifier.1/cascade.xml -info test-images.txt
That command did not work for me. I ended up scoring the test set by hand.
With a False Alarm rate around 21% on the traing set it's clear that the classifier has too many false positives. The classifier does a good job of finding kites but does not reject non-kite images well enough.
One additional conclusion is that the algorithms used here are not current state of the art. A better approach is to use a Convolution Neural Network.


Attainment characteristics team
Email<EMAIL_ADDRESS>Telephone: Jenny Easby 0207 783 8457
National Statistics
Pupil attainment at state-funded schools in the 2010 to 2011 academic year.
Ref: SFR03/2012 PDF , 69.2KB , 16 pages
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Reference ID: SFR03/2012
Publication type: Statistical first release
Publication data: Local authority data
Local authority data: LA data
Region: England
Release date: 09 February 2012
Coverage status: Final
Publication status: Published
This SFR provides information from the year 2010 to 2011 (using revised data) on attainment for GCSE and equivalent results for pupils attending maintained schools (including CTCs and academies) by different pupil characteristics - specifically gender, ethnicity, English as a first language, eligibility for free school meals (FSM) and special educational needs (SEN) at national and local authority level.
The release shows that:
58.2% achieved 5 or more A* to C grades at GCSE or equivalent including English and mathematics GCSEs (an increase of 3.0 percentage points from the year 2009 to 2010).
Girls continue to outperform boys: 61.9% of girls achieved 5 or more A* to C grades at GCSE or equivalent including English and mathematics GCSEs compared with 54.6% of boys.
Chinese pupils are the highest attaining ethnic group, with 78.5% achieving 5 or more A* to C grades at GCSE or equivalent including English and mathematics GCSEs.
58.5% of pupils whose first language is English achieved 5 or more A* to C grades at GCSE or equivalent including English and mathematics GCSEs, compared to 55.8% of pupils for whom English is not a first language.
34.6% of pupils eligible for FSM achieved 5 or more A* to C grades at GCSE or equivalent including English and mathematics GCSEs, compared to 62.0% of all other pupils.
33.8% of disadvantaged pupils (pupils eligible for FSM or looked-after children) achieved 5 or more A* to C grades at GCSE or equivalent including English and mathematics GCSEs, compared to 62.3% of all other pupils.
The proportion of pupils with SEN without a statement achieving achieved 5 or more A* to C grades at GCSE or equivalent including English and mathematics GCSEs is 24.7% , compared to 8.5% of pupils with SEN with a statement, and 69.5% of pupils with no identified SEN.
Please note: Tables showing attainment by area of pupil residence and attainment by area of school location were added on 7 March 2012, alongside the underlying data for all tables in this SFR.
Email<EMAIL_ADDRESS>Telephone: Jenny Easby 0207 783 8457
Published: 9 February 2012
From: Department for Education
Part of: Statistics: GCSEs (key stage 4)


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Compont Directive Structural Directive Attribute Directive Custom Attribute Directive Custom Structure Directive Change Detection Example


Ryan Womack, Data Librarian
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February 5, 2019
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In the bewildering world of Ruby, with codenames galore, what in the world are arrays and hashes? Excellent question, you might say, as you nod your head sagely.
When planning your day, there is usually more than one thing you need to do. For instance, you need to do your job. But often for that to happen, you have to get to your job. And once you're finished your job, you need to return home. Perhaps there are other tasks you need to do, like cook dinner or make your bed.
These everyday tasks compose a list. In Ruby, an array is just the same type of list. By placing items in an array, they can each be easily reached and acted upon, but without necessitating acting on them individually, which takes writing a lot of extra code and more processing time. Believe it or not, a computer's mysterious innards do not have infinite resources and the less code and quicker processing time of that code, the better. So arrays are a very practical way of organizing lists of information and being able to use them efficiently.
my_day = ["going to work", "work", "going home", "cooking dinner"]
Each of the items in the array automatically gets a number. In the example above, "going to work" is assigned 0 (because computers LOVE 0 and think lists should start with it), "work" is 1, "going home" is 2 and "cooking dinner" is 3. That way, the computer can access each item in the array by its position number. Computers love numbers in general, not just 0.
Now sometimes a list is more than just a simple list like for purchasing groceries - carrots, check; potatoes, check; milk, check. They have other information associated with them. For example, going to work might mean driving your car. Working might entail finishing a project. Cooking dinner could include choping the potatoes.
Hashes are how we capture these pairs of information, so you can do something with them, which for computers means processing it somehow. Each pair is assigned a role to play. The first is called the key, which the second is called the value. See the example below.
hash = {"going to work" => "driving car", "work" => "finish project", "cook dinner" => "chop potatoes"}
Because hashes assign the names of key and value to each pair, they don't use position like arrays. They access the keys instead and work with the associated values from there.
As you can see, both arrays and hashes are useful ways of organizing information, but would be used in different applications. You wouldn't need to use a hash for a simple shopping-style list and you wouldn't use an array for a list of your family members' names and birthdates. They each have their own function.


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Parses the provided command line flags, switches and arguments
Options hold all the parameters used by the application
Initializes Options and parses the provided user input from the command line
# File lib/inspector/options.rb, line 17 def initialize(argv) parse(argv) end
After running the application output files are saved in the history.
–get_file_from_history– retrieves the valid or invalid file from the last
application invokation. Where type is eather valid
or
invalid
.
# File lib/inspector/options.rb, line 27 def get_file_from_history(type) pattern = Regexp.new('_'+type.to_s) File.open(".sycspector.data", 'r') do |file| while name = file.gets.chop return name unless name.scan(pattern).empty? end end end
Save the results of the last run of the application to
.sycspector.data
. It contains the valid and invalid file as
well as the pattern.
# File lib/inspector/options.rb, line 38 def save_result_files(opts) File.open(".sycspector.data", 'w') do |file| file.puts opts[:valid_file] file.puts opts[:invalid_file] file.puts opts[:pattern].to_s file.puts opts[:scan_pattern].to_s end end


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| Nr. | Tekstas | Pastaba |
|---|---|---|
| 1 | pirmas | Lorem Ipsumis simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. |
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| 4 | Ketvirtas | Lorem ipsom dolor |
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Laimingi skaiciai


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OVERVIEW
LESSONS LEARNED
PROJECT STORY
I love trying new design tools and processes. I end up getting the software questions from my teammates. I’m not an expert, but I enjoy the challenge of learning new tools and sharing those skills with my teammates. If an issue arrises I can usually figure out a solution.
Earlier this year our UX design team switch completely from Photoshop to Sketch. As we got used to Sketch, we noticed how useful pre-set styles and symbols were for speeding up our work. After demonstrating these advantages and the potential benefit to the team, management came on board.
I took on the role of pattern manager. I collected and organized all available patterns, and organized them using the Atomic system to create our Pattern Library file, aka ‘sticker sheet’. I then created the missing pieces that were not yet formatted in Sketch files.
This was an instant success for our team. Even the first draft with limited patterns was useful to team members. Several versions later, we are now able to grab our standard parts and compose a mockup in record speed.
Instead of wasting time re-designing basic elements or trying to find specs for a repeated element, we can cut/paste from the pattern library. As our styles and patterns evolve for new projects, the library will evolve in step.
In addition to the efficiency, the team also gained a new perspective by being able to view all our patterns together. Previously we had partial documentation of styles that quickly became obsolete and abandoned. This new pattern library is flexible enough to encourage maintenance with minimal effort. Today one design file can provide the overview of our design patterns so each designer knows the context for their work.
Next we would like to document interactive and motion design elements in a similar fashion.
Atomic Design Reference
Next Project: Mortgage App


In resource-types.xml
Add following properties
<configuration> <property> <name>yarn.resource-types</name> <value>yarn.io/gpu</value> </property> </configuration>
In yarn-site.xml
DominantResourceCalculator MUST be configured to enable GPU scheduling/isolation.
For Capacity Scheduler, use following property to configure DominantResourceCalculator (In capacity-scheduler.xml):
| Property | Default value |
|---|---|
| yarn.scheduler.capacity.resource-calculator | org.apache.hadoop.yarn.util.resource.DominantResourceCalculator |
<property> <name>yarn.nodemanager.resource-plugins</name> <value>yarn.io/gpu</value> </property>
This is to enable GPU isolation module on NodeManager side.
By default, YARN will automatically detect and config GPUs when above config is set. Following configs need to be set in yarn-site.xml only if admin has specialized requirements.
1) Allowed GPU Devices
| Property | Default value |
|---|---|
| yarn.nodemanager.resource-plugins.gpu.allowed-gpu-devices | auto |
Specify GPU devices which can be managed by YARN NodeManager (split by comma). Number of GPU devices will be reported to RM to make scheduling decisions. Set to auto (default) let YARN automatically discover GPU resource from system.
Manually specify GPU devices if auto detect GPU device failed or admin only want subset of GPU devices managed by YARN. GPU device is identified by their minor device number and index. A common approach to get minor device number of GPUs is using nvidia-smi -q and search Minor Number output.
When minor numbers are specified manually, admin needs to include indice of GPUs as well, format is index:minor_number[,index:minor_number...]. An example of manual specification is 0:0,1:1,2:2,3:4"to allow YARN NodeManager to manage GPU devices with indices 0/1/2/3 and minor number 0/1/2/4. numbers .
2) Executable to discover GPUs
| Property | value |
|---|---|
| yarn.nodemanager.resource-plugins.gpu.path-to-discovery-executables | /absolute/path/to/nvidia-smi |
When yarn.nodemanager.resource.gpu.allowed-gpu-devices=auto specified, YARN NodeManager needs to run GPU discovery binary (now only support nvidia-smi) to get GPU-related information. When value is empty (default), YARN NodeManager will try to locate discovery executable itself. An example of the config value is: /usr/local/bin/nvidia-smi
3) Docker Plugin Related Configs
Following configs can be customized when user needs to run GPU applications inside Docker container. They’re not required if admin follows default installation/configuration of nvidia-docker.
| Property | Default value |
|---|---|
| yarn.nodemanager.resource-plugins.gpu.docker-plugin | nvidia-docker-v1 |
Specify docker command plugin for GPU. By default uses Nvidia docker V1.0, nvidia-docker-v2 is available for V2.x.
| Property | Default value |
|---|---|
| yarn.nodemanager.resource-plugins.gpu.docker-plugin.nvidia-docker-v1.endpoint | http://localhost:3476/v1.0/docker/cli |
Specify end point of nvidia-docker-plugin. Please find documentation: https://github.com/NVIDIA/nvidia-docker/wiki For more details.
4) CGroups mount
GPU isolation uses CGroup devices controller to do per-GPU device isolation. Following configs should be added to yarn-site.xml to automatically mount CGroup sub devices, otherwise admin has to manually create devices subfolder in order to use this feature.
| Property | Default value |
|---|---|
| yarn.nodemanager.linux-container-executor.cgroups.mount | true |
In general, following config needs to be added to container-executor.cfg
[gpu] module.enabled=true
When user needs to run GPU applications under non-Docker environment:
[cgroups] # This should be same as yarn.nodemanager.linux-container-executor.cgroups.mount-path inside yarn-site.xml root=/sys/fs/cgroup # This should be same as yarn.nodemanager.linux-container-executor.cgroups.hierarchy inside yarn-site.xml yarn-hierarchy=yarn
When user needs to run GPU applications under Docker environment:
1) Add GPU related devices to docker section:
Values separated by comma, you can get this by running ls /dev/nvidia*
[docker] docker.allowed.devices=/dev/nvidiactl,/dev/nvidia-uvm,/dev/nvidia-uvm-tools,/dev/nvidia1,/dev/nvidia0
2) Add nvidia-docker to volume-driver whitelist.
[docker] ... docker.allowed.volume-drivers
3) Add nvidia_driver_<version> to readonly mounts whitelist.
[docker] ... docker.allowed.ro-mounts=nvidia_driver_375.66
4) If use nvidia-docker-v2 as gpu docker plugin, add nvidia to runtimes whitelist.
[docker] ... docker.allowed.runtimes=nvidia
Distributed shell currently support specify additional resource types other than memory and vcores.
Run distributed shell without using docker container (Asks 2 tasks, each task has 3GB memory, 1 vcore, 2 GPU device resource):
yarn jar <path/to/hadoop-yarn-applications-distributedshell.jar> \ -jar <path/to/hadoop-yarn-applications-distributedshell.jar> \ -shell_command /usr/local/nvidia/bin/nvidia-smi \ -container_resources memory-mb=3072,vcores=1,yarn.io/gpu=2 \ -num_containers 2
You should be able to see output like
Tue Dec 5 22:21:47 2017 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 375.66 Driver Version: 375.66 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 Tesla P100-PCIE... Off | 0000:04:00.0 Off | 0 | | N/A 30C P0 24W / 250W | 0MiB / 12193MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 1 Tesla P100-PCIE... Off | 0000:82:00.0 Off | 0 | | N/A 34C P0 25W / 250W | 0MiB / 12193MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+
For launched container task.
You can also run distributed shell with Docker container. YARN_CONTAINER_RUNTIME_TYPE/YARN_CONTAINER_RUNTIME_DOCKER_IMAGE must be specified to use docker container.
yarn jar <path/to/hadoop-yarn-applications-distributedshell.jar> \ -jar <path/to/hadoop-yarn-applications-distributedshell.jar> \ -shell_env YARN_CONTAINER_RUNTIME_TYPE=docker \ -shell_env YARN_CONTAINER_RUNTIME_DOCKER_IMAGE=<docker-image-name> \ -shell_command nvidia-smi \ -container_resources memory-mb=3072,vcores=1,yarn.io/gpu=2 \ -num_containers 2


|
My Project
|
Default class for the paj7620. More...
#include <gesture.hpp>
Public Member Functions | |
| paj7620 (hwlib::i2c_bus &bus, uint8_t address) | |
| standard constructor | |
| uint8_t | read (uint8_t target) |
| Read function for the paj7620. More... | |
| void | writeCommand (uint8_t adr, uint8_t cmd) |
| Write function for the paj7620. More... | |
| void | selectBank (int bank) |
| Selects register bank. | |
| bool | checkSensor () |
| function used for checking sensor More... | |
| void | initialise (bool cout=true) |
| function used for initialising chip More... | |
Protected Attributes | |
| hwlib::i2c_bus & | bus |
| uint_fast8_t | address |
Default class for the paj7620.
This class requires both an uint_fast8_t address for the chip and a hwlib::i2c_bus. These variables are asigned in the contructor and thus need to be provided upon creation of a paj7620.
|
inline |
function used for checking sensor
Reads 10 times from the 2 registers that house the sensor's readings. If everything is normal it should always read 0, unless there is something wrong with the registers or the sensor itself. If everything is normal it return true, if it picks up to many readings it returns false.
|
inline |
function used for initialising chip
This function is the hart of the class and need to be run before accurate readings can be given. The function takes a single argument, if not provided it will be set to true. This variable determines if output is provided, true = output, false = no output. The function does a couple of tasks including: testing if the registers, bank and sensors are in order and finishes off with sending all commands to the appropriate registers.
|
inline |
Read function for the paj7620.
Since the chip has multiple registers the read function needs to write to the chip which register it wants to read before it can start reading.
|
inline |
Write function for the paj7620.
This function is used to write a single byte sized command to a register.


{% load i18n %} {% load account socialaccount %} {% block content %} {% get_providers as socialaccount_providers %}
Internship | Placement
Great! You are one of our members now
We are sorry, but this account is Inactive.


THERE'S SOMETHING ABOUT MARY (1998) A Film Review by Ted Prigge Copyright 1998 Ted Prigge
Directors: Robert Farrelly and Peter Farrelly Writers: Ed Decter, John J. Strauss, Robert Farrelly, and Peter Farrelly Starring: Ben Stiller, Cameron Diaz, Matt Dillon, Lee Evans, Chris Elliott, Lin Shaye, Jeffrey Tambor, Keith David, Markie Post, Harland Williams III, Richard Jenkins, Helena Christensen, Brett Favre
There's many a disgusting moment in "There's Something About Mary" that it would be really easy for this film to just be one long toilet joke film...and that's not totally a bad thing, not if the jokes are actually funny. The ones in this film are. I know that Roger Ebert is the one who always always always uses the Mel Brooks quote in defense of his film "The Producers," that his film "rises below vulgarity," but I'm going to steal that from him and apply it to this film. This film also rises below vulgarity, but it takes it a step further as well.
"There's Something About Mary" is a lot like the Farrelly Brothers' previous two films, "Dumb and Dumber" and "Kingpin," two hilarious films that proved to even the biggest snob that fart jokes, bodily fluids, and other forms of toilet humor could be turned into almost an art form. But unlike "Dumb and Dumber" and like "Kingpin," this film has a good plot and characters that we actually care about and maybe in a way identify with. The most important thing about making comedy is likable characters, and this film has that.
But this film's actually deeper than that. The film deals with the 13-year-long obsession of a young, neurotic man, Ted (Ben Stiller), for a woman who would be his high school sweetheart, Mary (a glowing Cameron Diaz) if he had gone to the prom with her...which he didn't because of a little, um, problem (you've seen it in the trailers - it's even funnier in the actual film). Out of desperation to find her because he figures he's in love with her ("Crushes don't last 13 years, do they?" he asks his friend, played by Chris Elliott, in his funniest performance in years...yes, even funnier than he was in "Cabin Boy" *snort*), he hires an off-kilter detective, Pat Healy (Matt Dillon, also glowing), to track her down for him.
Pat does find her, and from this point on, the plot becomes completely convoluted and jumps everywhere. We meet numerous supporting characters, like a British architect friend of Mary's (Lee Evans, from "Mouse Hunt"), who has a little secret (not to mention crutches), and Mary's live-in roomate (or something), who's been tanning for so long she has passed George Hamilton on the skin pigmentation chart.  I won't tell you how they all fit in to the story since one of the true joys is trying to follow what's going on, and being surprised when things happen.
The Farrelly's have a great sense of humor that is somewhere between very low-brow and scathingly satirical, kinda like Monty Python only even more disgusting. They make fun of whomever they want, and aren't afraid to tell the most disgusting of jokes. The fact that this is their first film to get an "R" rating helps because it gives them a liscence to do practically anything, which for the crowd this film is trying to attract, helps enormously.  Why do I highly recommend a film where Cameron Diaz uses a substance I was afraid to mention to my parents for fear of miscommunication about my "experience" as hair gel?
The answer is two-fold.  I haven't done that in real long time. The second and probably not as important reason is because this film is remarkably intelligent and totally honest about an intriguing topic, the topic of obsession. The Farrelly Brothers have taken a human weakness we all suffer from and have skewered it into a film that is both funny and brutally frank, not only about its sense of toilet humor, but also about what it deals with. Although this film lives in a surreal world where everyone's a characateur of a certain weird stereotype laced with acid, and basically anything can and will happen, we nevertheless can identify with some of the characters in this film because they're mirrors of us. Ben Stiller's character is probably the most human character the Farrelly's have ever dreamed up, and we can all in some form feel for his obsession because we've all been there at some point, no matter how badly. This is a film that has the humanity to recognize that not only is obsession not love but mere selfish behavior and that it makes people become more and more pathetic, but it can also lead us to a greater understanding of ourselves and perhaps even make our intentions more worthy of someone's affections.
It's often really weird when a film that is this funny also has humanity and honesty to it. I'm really shocked at this not only because of that factor, but also because the humor in this film is actually raised to a whole other level of thinking. We laugh at this film not only because of the outrageous jokes that we are told (most of which I will not divulge), but also because we can see ourselves in this film, and what is more therapeutic than to look at ourselves being parodied on the screen, and laugh right at it?
MY RATING (out of 4): ****
Homepage at: http://www.geocities.com/Hollywood/Hills/8335/
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


Texas Tech University
Whitacre College of Engineering
Department of Electrical and Computer Engineering
2500 Broadway
Lubbock, TX 79409
P:<PHONE_NUMBER>
H: Monday - Friday: 8:00 AM to 5:00 PM


Item 1.
Rename a Folder or Document:
Begin at Main Menu. Open Word Processor letter w
-
Open a Document
Toggle to find "Open a Document" space, enter
Directly select "Open a Document" letter o
Find folder you want to rename space
Rename the folder in focus, press backspace + r
BrailleNote displays, "new name for "foldername".
Write the new name for the folder.
To accept the new name enter.
The new name for the folder will be displayed.
Practice as needed.
-
The process is the same for renaming a file.
Focus on the document you want to rename from within the list.
Start rename process backspace + r


|
Vc
1.1.0
SIMD Vector Classes for C++
|
|
The main SIMD mask class.
#include <Vc/vector.h>
Public Types | |
| using | abi = Abi |
| The ABI tag type of the current template instantiation. | |
| using | EntryType = bool |
The EntryType of masks is always bool , independent of T . | |
| using | value_type = EntryType |
The EntryType of masks is always bool , independent of T . More... | |
| using | EntryReference = typename VectorTraits< T, Abi >::EntryReference |
| The reference wrapper type used for accessing individual mask components. | |
| using | value_reference = EntryReference |
| The reference wrapper type used for accessing individual mask components. More... | |
| using | VectorEntryType = typename VectorTraits< T, Abi >::VectorEntryType |
The VectorEntryType , in contrast to EntryType , reveals information about the SIMD implementation. More... | |
Public Member Functions | |
| int | count () const |
Returns how many components of the mask are true . | |
| int | firstOne () const |
| Returns the index of the first one in the mask. More... | |
| int | toInt () const |
| Convert the boolean components of the mask into bits of an integer. More... | |
| Mask | shifted (int amount) const |
Returns a mask with components shifted by amount places. | |
Compile-Time Constant Initialization | |
| Mask ()=default | |
| Construct a zero-initialized vector object. More... | |
| Mask (VectorSpecialInitializerZero) | |
Zero-initialize the new mask object (false ). More... | |
| Mask (VectorSpecialInitializerOne) | |
Initialize the new mask object to one (true ). More... | |
Conversion/Broadcast Constructors | |
| Mask (bool b) | |
| Broadcast constructor. More... | |
| template<typename U > | |
| Mask (U &&otherMask, Common::enable_if_mask_converts_implicitly< T, U >=nullarg) | |
| Implicit conversion from a compatible (equal \(\mathcal{W}_\mathtt{T}\) on every platform) mask object.  More... | |
Loads & Stores | |
| Mask (const bool *mem) | |
Load constructor from an array of bool . More... | |
| template<typename Flags > | |
| Mask (const bool *mem, Flags flags) | |
| Overload of the above with a load/store flag argument. More... | |
| void | load (const bool *mem) |
Load the components of the mask from an array of bool . More... | |
| template<typename Flags > | |
| void | load (const bool *mem, Flags flags) |
| Overload of the above with a load/store flag argument. More... | |
| void | store (bool *mem) const |
Store the values of the mask to an array of bool . More... | |
| template<typename Flags > | |
| void | store (bool *mem, Flags flags) const |
| Overload of the above with a load/store flag argument. More... | |
Comparison Operators | |
| bool | operator== (const Mask &mask) const |
| Returns whether the two masks are equal in all components. More... | |
| bool | operator!= (const Mask &mask) const |
| Returns whether the two masks are different in at least one component. More... | |
Logical and Binary Operators | |
Component-wise logical/binary operations on mask objects. The effect of logical and binary | |
| Mask | operator&& (const Mask &mask) const |
Returns the component-wise application of a logical AND to mask . | |
| Mask | operator& (const Mask &mask) const |
Returns the component-wise application of a binary AND to mask . | |
| Mask | operator|| (const Mask &mask) const |
Returns the component-wise application of a logical OR to mask . | |
| Mask | operator| (const Mask &mask) const |
Returns the component-wise application of a binary OR to mask . | |
| Mask | operator^ (const Mask &mask) const |
Returns the component-wise application of a binary XOR to mask . | |
| Mask | operator! () const |
| Returns a mask with inverted components. | |
| Mask & | operator&= (const Mask &mask) |
Modifies the mask using an AND operation with mask . | |
| Mask & | operator|= (const Mask &mask) |
Modifies the mask using an OR operation with mask . | |
| Mask & | operator^= (const Mask &mask) |
Modifies the mask using an XOR operation with mask . | |
Reductions | |
| bool | isFull () const |
Returns a logical AND of all components. | |
| bool | isNotEmpty () const |
Returns a logical OR of all components. | |
| bool | isEmpty () const |
Returns true if components are false , false otherwise. | |
| bool | isMix () const |
Returns !isFull() && !isEmpty() . | |
Scalar Subscript Operators | |
| EntryReference | operator[] (size_t index) |
| Lvalue-reference-like access to mask entries. More... | |
| EntryType | operator[] (size_t index) const |
| Read-only access to mask entries. More... | |
Static Public Member Functions | |
| static constexpr size_t | size () |
| Returns the number of boolean components ( \(\mathcal{W}_\mathtt{T}\)) in a mask of this type. More... | |
Generators | |
| static Mask | Zero () |
Creates a new mask object initialized to zero/false . More... | |
| static Mask | One () |
Creates a mask object initialized to one/true . More... | |
| template<typename G > | |
| static Mask | generate (G &&gen) |
Generate a mask object from booleans returned from the function gen . | |
Static Public Attributes | |
| static constexpr size_t | Size = VectorTraits<T, Abi>::size() |
| Returns the number of boolean components ( \(\mathcal{W}_\mathtt{T}\)) in a mask of this type. More... | |
| static constexpr size_t | MemoryAlignment = VectorTraits<T, Abi>::maskMemoryAlignment() |
| Specifies the alignment requirement for aligned load and store calls for objects of this mask type. | |
| using value_type = EntryType |
| using value_reference = EntryReference |
| using VectorEntryType = typename VectorTraits<T, Abi>::VectorEntryType |
|
inlinedefault |
Construct a zero-initialized vector object.
This constructor follows the behavior of the underlying bool
type in that the expression bool()
zero-initializes the object (to false
). On the other hand the variable x
in bool x;
is uninitialized. Since, for class types, both expressions call the default constructor Mask<T> x
must zero-initialize x
as well.
|
inlineexplicit |
|
inlineexplicit |
|
inlineexplicit |
Broadcast constructor.
Set all components of the new mask object to b
.
| b | Determines the initial state of the mask. |
|
inline |
Implicit conversion from a compatible (equal \(\mathcal{W}_\mathtt{T}\) on every platform) mask object.
| otherMask | The mask to be converted. |
|
inlineexplicit |
Explicit conversion (static_cast) from a mask object that potentially has a different \(\mathcal{W}_\mathtt{T}\).
| otherMask | The mask to be converted. |
|
inlineexplicit |
Load constructor from an array of bool
.
This constructor implements an explicit conversion from an array of booleans to a mask object. It corresponds to a Vector load constructor.
| mem | A pointer to the start of the array of booleans. |
|
inlineexplicit |
Overload of the above with a load/store flag argument.
| mem | A pointer to the start of the array of booleans. |
| flags | Choose a combination of flags such as Vc::Aligned, Vc::Streaming, Vc::Unaligned, Vc::PrefetchDefault, ... |
|
inlinestatic |
Returns the number of boolean components ( \(\mathcal{W}_\mathtt{T}\)) in a mask of this type.
The size of the mask. I.e. the number of boolean entries in the mask. Do not make any assumptions about the size of masks.
In addition, you can easily use if clauses that compare sizes. The compiler can statically evaluate and fully optimize dead code away (very much like #ifdef, but with syntax checking).
|
inlinestatic |
Creates a new mask object initialized to zero/false
.
|
inlinestatic |
Creates a mask object initialized to one/true
.
true
.
|
inline |
Load the components of the mask from an array of bool
.
| mem | A pointer to the start of the array of booleans. |
|
inline |
Overload of the above with a load/store flag argument.
| mem | A pointer to the start of the array of booleans. |
| flags | Choose a combination of flags such as Vc::Aligned, Vc::Streaming, Vc::Unaligned, Vc::PrefetchDefault, ... |
|
inline |
Store the values of the mask to an array of bool
.
| mem | A pointer to the start of the array of booleans. |
|
inline |
Overload of the above with a load/store flag argument.
| mem | A pointer to the start of the array of booleans. |
| flags | Choose a combination of flags such as Vc::Aligned, Vc::Streaming, Vc::Unaligned, Vc::PrefetchDefault, ... |
|
inline |
Returns whether the two masks are equal in all components.
| mask | The other mask to compare against. |
a == b
return the same as a ^ b
. In general, it is more useful to query all_of(a ^ b)
which is the same as this equality operator. Returns whether the two masks are different in at least one component.
| mask | The other mask to compare against. |
(a == b) == !(a != b)
holds
|
inline |
Lvalue-reference-like access to mask entries.
| index | Determines the boolean to be accessed. |
index
th entry of the mask.bool
), but rather a temporary (rvalue) object that mimics an lvalue reference (as much as is possible with C++11/14).
|
inline |
Read-only access to mask entries.
| index | Determines the boolean to be accessed. |
index
th entry of the mask as a bool
(rvalue).const bool
), but rather a temporary (rvalue) bool
.
|
inline |
Returns the index of the first one in the mask.
true
.Thus, unless none_of(mask)
, mask[mask.firstOne()] == true
holds and mask[i] == false
for all i < mask.firstOne()
.
|
inline |
Convert the boolean components of the mask into bits of an integer.
int
where each bit corresponds to the boolean value in the mask.For example, the mask [true, false, false, true]
results in a 9
(in binary: 1001
).
|
static |
Returns the number of boolean components ( \(\mathcal{W}_\mathtt{T}\)) in a mask of this type.
The size of the mask. I.e. the number of boolean entries in the mask. Do not make any assumptions about the size of masks.
In addition, you can easily use if clauses that compare sizes. The compiler can statically evaluate and fully optimize dead code away (very much like #ifdef, but with syntax checking).


Computes screen space ambient occlusion from a depth and view-space normal buffer (brought to [0,1]).
More...
#include <SSAO.hpp>
Computes screen space ambient occlusion from a depth and view-space normal buffer (brought to [0,1]).
- See also
- GPU::Frag::SSAO
◆ SSAO()
| SSAO::SSAO |
( |
unsigned int |
width, |
|
|
unsigned int |
height, |
|
|
float |
radius |
|
) |
| |
Constructor.
- Parameters
-
| width | the internal resolution width |
| height | the internal resolution height |
| radius | the SSAO intersection test radius |
◆ clean()
| void SSAO::clean |
( |
| ) |
const |
◆ clear()
| void SSAO::clear |
( |
| ) |
const |
Clear the final framebuffer texture.
◆ process()
| void SSAO::process |
( |
const glm::mat4 & |
projection, |
|
|
const Texture * |
depthTex, |
|
|
const Texture * |
normalTex |
|
) |
| const |
Compute SSAO using the input depth and normal buffers.
- Parameters
-
| projection | the camera projection matrix |
| depthTex | the depth texture |
| normalTex | the view-space normal texture |
◆ radius()
Query the SSAO radius (should be larger for larger scene with large planar surfaces).
- Returns
- a reference to the radius parameter
◆ resize()
| void SSAO::resize |
( |
unsigned int |
width, |
|
|
unsigned int |
height |
|
) |
| const |
Resize the internal buffers.
- Parameters
-
| width | the new width |
| height | the new height |
◆ textureId()
| const Texture * SSAO::textureId |
( |
| ) |
const |
Query the texture containing the result of the SSAO+blur pass.
- Returns
- the texture
The documentation for this class was generated from the following files:
- src/engine/processing/SSAO.hpp
- src/engine/processing/SSAO.cpp


Index of /Ripplect3/Beta/assets/global/plugins/amcharts/amcharts/themes
Parent Directory
chalk.js
light.js
patterns.js


Protocols¶
High Throughput¶
To run in HT mode use the flag -HT that will perform: 3 growing steps of 3 pelesteps and a final exploration of 20 pele steps
python frag_pele/main.py -cp core.pdb -sef serie_file.conf -HT
Standard Precision¶
To run in SP mode use the default values that will perform: 6 growing steps of 6 pelesteps and a final exploration of 20 pele steps
python frag_pele/main.py -cp core.pdb -sef serie_file.conf
Explorative¶
To run in EX mode use the flag -EX that will perform an standar growing simulation with a sampling simulation of: 2 steering, 0.5/0.3 translation, 0.4/0.15 rotation and 25 of box radius. Select the number of steps in this sampling simulation with the flag -es.
python frag_pele/main.py -cp core.pdb -sef serie_file.conf -EX -es 200
Personalized Sampling Simulation¶
If you want to use a different templatized control file in the sampling simulation, use the flag -sc to set its path
python frag_pele/main.py -cp core.pdb -sef serie_file.conf -sc /path/to/control_personalized.conf


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The Grid
If you're familiar with the Foundation for Sites grid, you'll be right at home working with Foundation for Emails.
The grid has two core elements: the row and column. Rows define horizontal sections of content, and columns carve up the row into side-by-side sections.
Container
All emails should have a container element. This gives the email a maximum width for email clients on larger screens. It also orients the email in the center.
A container is a full table, so it needs the tags

,

, and finally
. The class .container
goes on the

.
<container>All the rows go here</container>

All the rows go here

DEMO
Rows
A row is a

with a

and

. Inside of this

, you'll place each individual column. The

also has the class .row
.
In Inky HTML, use the <row>
tag to create a row.
<container>
<row>
Columns go here
</row>
</container>

Columns go here

DEMO
Columns
The structure of a column is a bit more involved. At the top level, a column is a
with the class .columns
.
Inside of the
is another full table. The content of your column goes inside of a
. Right below that table header should be another
with a class of .expander
. This empty element helps the column expand to be full-width on small screens.
Here's our full column syntax so far:

This is a column. Columns contain your content.

In Inky HTML, use the <columns>
class to create a column.
<columns>This is a column. Columns contain your content.</columns>

This is a column. Columns contain your content.

DEMO
Sizing
A column has a size between 1 and 12—this is how many columns wide the element is. Foundation uses a 12-column grid, so 6 columns is half the width of the whole row.
Set column sizes with the classes .large-n
and .small-n
, where n
is how wide the column is. The .small-
size is applied on mobile email clients, while the .large-
size is applied on desktop email clients.
In Inky HTML, set the attribute small
or large
on the <columns>
tag with the size you want. If you don't fill in small
, it will use 12 by default. If you fill in small
but not large
, large
will use the same value as small
.
<columns small="12" large="6"></columns>
First and Last Classes
The .first
class adds the appropriate amount of padding-left to space the content away from the container’s edge. The .last
class is added to your last set of columns in a row to add padding-right to the column. If you have columns in between .first
and .last
, these classes are not needed on the middle columns.
The reason these classes exist is that CSS properties like :last-child
don’t work in most email clients so a class is needed.
In Inky HTML, these classes are added for you.
<columns large="4">One</columns>
<columns large="4">Two</columns>
<columns large="4">Three</columns>

One

Two

Three

DEMO
Expander
The .expander
prevents a rendering bug in Outlook that sometimes keeps the columns from expanding to full width. Instead of ignoring the width attribute and politely taking up only as much space as the content dictates (default
behavior), the presence of the expander
causes the content
to become “greedy” and take up as much space as is given to it, up to the value specified in the width (which is 100%). They’re set to not display, but they kick the total width up over 100%, which forces their sibling
to expand fully.
Collapsing
Collapsing a row removes the gutters from every column, which is the spacing between them. Add the class .collapse
to a row to enable this.
<row class="collapse">
<columns large="6"></columns>
<columns large="6"></columns>
</row>

DEMO
Offsets
Offsets add spacing to the left of a column. Use this if all the columns in a row don't add up to 12, and you want to mess with the spacing between them.
Use the class .large-offset-n
to create an offset, where n
is the amount of columns to offset by. So, for example, .large-offset-3
would offset the column by 25% of the width of the row. Think of it as pushing the columns over from the left.
<row>
<columns large="3" class="large-offset-3"></columns>
<columns large="3"></columns>
</row>

DEMO
Sass Reference
Variables
The default styles of this component can be customized using these Sass variables in your project's settings file.
| Name | Type | Default Value | Description |
|---|---|---|---|
$grid-column-count |
Number | 12 |
Default number of columns for an email. |
$column-padding-bottom |
Number | $global-padding |
Default padding for the bottom of a column. |
$container-radius |
Number | 0 |
Default border radius for the container. Use a px value |


PASSTHRU(value) → retVal
Simply returns its call argument unmodified. There is no need to call this function explicitly, it is mainly used for internal testing.


Disclosed is a vertical rudder control system for an aircraft. The system is comprised of a rudder trim compensation generator that is configured to generate a rudder trim compensation order to set the position of the rudder bar of the aircraft to a neutral position in which the rudder bar is controlled with nil (i.e., zero) pilot effort. The vertical rudder control system includes a flight control calculator for calculating rudder control orders to maintain the nil effort rudder bar position, with the calculation of the rudder control orders being based on a sum of the rudder bar position, determined by a detection unit, and the rudder trim compensation order. The rudder control orders are received by a rudder operating unit, which is used to deflect the vertical rudder by a deflection value based on the rudder control orders.
The present invention relates to a rudder control system for an aircraft, of an electrical type, with no mechanical rudder compensation.
Each aircraft is provided with a flight command system connecting the piloting units (stick, rudder bar) with the aerodynamic control surfaces (ailerons, spoilers, vertical rudder, pitch motivator) of the aircraft. Those systems have been developed over the time with the technical progress from purely mechanical non-assisted systems to electrical (command) systems being hydraulically assisted.
On the first systems, the effort exerted by the pilot on the piloting units was integrally transmitted to the rudders and corresponded to the aerodynamic efforts. In order to minimize the muscular efforts, compensators or trims have been created to be able to vary the control surface position corresponding to a nil muscular effort from the pilot.
Over the technical evolutions, the trims have been essentially kept for operational needs (from the pilots). As on the present rudder control systems, there is no more mechanical connection between the rudder bar and the vertical rudder, the trim only serves to vary the nil effort position of the rudder bar.
Usually, a rudder control system for an aircraft, in particular for an airplane, of the electrical type, comprises:
The vertical rudder is so called electrical, since the order controlled by the pilot (position of the rudder bar) is transmitted to the flight control calculator under the shape of an electrical signal. The calculator uses then such pilot order to determine, thru internal control laws, the control order being effectively applied to the vertical rudder.
Despite such electrical characteristics, the rudder bar remains a complex mechanical unit. It especially comprises a spring assembly being able to create again an artificial sensation (as the rudder bar is not mechanically connected with the control surface of the aircraft anymore). Such artificial sensation generating means also comprise a mechanical rudder compensation or trim function. Such a function being implemented by a mechanical compensator or trim allows the pilot to control the nil effort rudder bar position. The control is carried out by the pilot thru buttons located in the cockpit.
Such mechanical rudder trim meets several operational needs:
The presence, on an electrical rudder control system such as described above, of a mechanical rudder trim meeting the above mentioned needs, has some disadvantages, in particular in terms of mass, cost, installation, congestion, maintenance, overall reliability, etc.
The present invention aims at simplifying such electrical rudder control system and cancelling the mechanical compensation function. It relates to a rudder control system for an aircraft, of an electrical type, without any mechanical control trim which allows, despite the absence of a mechanical trim, to meet the operational needs related to such a trim.
With this end in view, according to the invention, said rudder control system of the type comprising:
Consequently, thanks to the invention, the actions to meet the operational needs relative to a rudder trim are not implemented by a usual mechanical compensator, the rudder control system of which is absent, but by the generation and the application of a rudder trim order being transmitted (under the shape of an electrical signal) to the calculation means (or a flight control calculator) which use it to calculate the rudder control orders. The nil effort rudder bar position is thus always the neutral position of the rudder bar.
The cancelation on the rudder control system of the usual mechanical trim thus generates gains on the aircraft mass, costs, installation facility, maintenance operations and overall reliability.
In one first embodiment, said auxiliary means comprise automatic means for automatically determining, upon a failure of an engine of the aircraft, a compensation or trim order enabling a yawing moment generated by the engine failure to be compensated. Moreover, advantageously, said auxiliary means also comprise means for automatically detecting such a failure.
This first embodiment only applies in the case of an engine failure.
Moreover, in a second embodiment, instead of or in addition to said first embodiment, said auxiliary means also comprise hand operated means so as to allow the pilot to control (that is to say to select hand operation) a compensation order which is transmitted to the calculation means.
This second embodiment can be used in any situation of the aircraft requiring dissymmetry compensation, especially in the case of an aircraft being twisted or asymmetrically loaded (fuel, passengers).
Upon an engine failure, both embodiments can thus be used together or separately. In particular, the pilot can use the second embodiment to make a hand operated control in case of a failure of the automatic yawing moment compensation.
The hand operated means of said second embodiment can be realized on different ways.
Thus, in a first embodiment variation, said hand operated means comprise:
Moreover, in a second embodiment variation (preferred), said hand operated means comprise a (unique) control button which leads, when it is kept depressed and that simultaneously the rudder bar which was previously depressed is released (progressively), to a (progressive) increase of the compensation order, such increase being proportional to the clearance (release) variation of the rudder bar. The compensation order being generated corresponds to the one obtained at the moment of the release of said control button.
Furthermore, in a particular embodiment, said rudder control system comprises in addition means to automatically initialize, upon the disengagement of an automatic piloting system being previously engaged, the compensate value to the rudder control value controlled by such automatic piloting system before the disengagement thereof.
The present invention relates moreover an aircraft, in particular a transport airplane, which is provided with an electrical rudder control system with no mechanical rudder compensation such as the one above-mentioned.
The FIGS. of the accompanying drawing will make well understood how the invention can be implemented. On those FIGS. identical annotations denote similar elements.
figref[FIG. 1] is a block diagram of an electrical rudder control system according to the invention.
figref[FIGS. 2 and 3] illustrate schematically different embodiments of hand operated control means for a rudder control compensation order making part of a system according to the invention.
The system 1 according to the invention and shown schematically on figref[FIG. 1] is an electrical rudder control system for an aircraft (not shown), in particular an airplane and especially a transport airplane. Such system 1 has no mechanical rudder control compensator.
An electrical rudder control system 1 for an aircraft usually comprises:
Such system 1 is so-called electrical, because the order controlled by the pilot (by operating the rudder bar 2) is transmitted to the flight control calculator 4 under the shape of an electrical signal. Such flight control calculator 4 then uses such pilot order to determine, thru usual internal control laws, the control order being efficiently applied to the vertical rudder 7.
The system 1 according to the invention is such that it allows, despite the absence of a mechanical rudder compensator, to meet the operational needs relative to such compensator.
To do so, said system 1 comprises in addition:
Moreover, according to the invention, said flight control calculator 4 comprises means 13 to generate, thru both such auxiliary electrical signal and said electrical control signal, the control orders being transmitted to the operating means 6 for the vertical rudder 7.
Such control orders are consequently calculated from an overall order corresponding to the sum of the order relative to the position of the rudder bar 2 (electrical control signal) and the compensation order (auxiliary electrical signal) generated by said auxiliary means 10.
Thus, on the system 1 according to the invention, the necessary actions to meet the operational needs relative to a rudder compensator are not implemented by a usual mechanical compensator, that the system 1 has not, but by the generation and the application of a rudder compensation order which is transmitted (under the shape of an electrical signal) to the flight control calculator 4 which uses it to calculate the rudder control orders.
Within such system 1, the nil effort rudder bar position is thus always the neutral position of the rudder bar 2.
The cancelation on said rudder control system 1 of any usual mechanical compensator thus generates gains on the aircraft mass, cost, installation facility, maintenance operations and overall reliability.
In a first embodiment, said auxiliary means 10 comprise automatic means 15 which comprise;
To do so, such optimal sideslip angle is added to a sideslip being controlled (corresponding to the rudder bar order) and the so-obtained sum is then converted into a rudder control order, which allows (by taking such optimal sideslip angle into account) to compensate the yawing moment generated by the failure.
Preferably, but not exclusively, said auxiliary means 10 are integrated into the calculator 4.
This first embodiment applies then to cases of an engine failure. However, it could also be applied for an automatic compensation for an aircraft dissymmetry having another reason than an engine failure.
The means 17 use a developed normal side law, so-called Y* law. This usual law, which masters the sideslip of the aircraft at the above mentioned optimal sideslip angle, is able to automatically block the yawing moment generated by the failure.
With this first embodiment, in the case of an engine failure, the crew does not need anymore to provide a constant muscular effort on the vertical rudder 2 and a mechanical compensation function is not necessary anymore.
However, to take the situation of piloting laws being degraded (Y* law not available further to equipment failures for example) into account, said auxiliary means 10 also comprise hand operated means 19A, 19B to allow a pilot to control (that is to say to select hand operation) a compensation order being transmitted to the control means.
Such hand operated means 19A, 19B which are relative to a second embodiment of the invention, can be used instead of or in addition to automatic means 15 of said first embodiment.
Upon an engine failure, both embodiments can thus be used together or separately. In particular, upon a failure of the yawing moment automatic compensation (first embodiment), the pilot can use the second embodiment to perform a hand operated control.
In the case of an engine failure, the control by the pilot of a compensation order according to the invention (bias RTS) equal to the required rudder bar position enables to release the rudder bar 2 at the neutral position with no muscular effort.
Considering BTGT as the necessary order to compensate for an engine failure being detected, the situation shown in the following table are obtained in that case.
The second embodiment (compensation by hand control) can be used in any situation of the aircraft requiring dissymmetry compensation and especially in the case of an aircraft being twisted or asymmetrically loaded (fuel, passengers).
In those last cases, instead for the pilot to compensate for dissymmetry by an action to the rudder bar 2, he compensates it directly by an action on the control of the bias RTS value.
In such a way, dissymmetry is compensated while keeping the rudder bar 2 in the neutral position with no muscular effort.
Considering CDis as the necessary order to compensate for such dissymmetry, the situations shown in the following table are obtained in those cases.
The hand operated means 19A, 19B of said second embodiment can be realized on different ways.
Thus, in a first embodiment variation represented on figref[FIG. 2] , said hand operated means 19A comprise:
Such hand operated means 19A which can use the same types of buttons as the usual control means of a usual mechanical compensation, allow the value of the bias RTS to be controlled with efficiency and precision.
Considering that the value of the bias RTS varies from −100% (on the left side) to +100% (on the right side) and that it is 0% in the neutral position P 0, the following logics are available:
Naturally, the value of bias RTS may vary between other values than −100% and +100% (with respect to the possible clearance of the rudder bar).
As an illustration, the following control speeds for the compensation order can be predicted.
Furthermore, the reset speed for the compensation order (bias RTS) by a depression on the re-initialization button 21 can be 3°.
In this example, it is appropriate to consider a rudder bar clearance, from an abutment to the following, of +/−30°.
Furthermore, in a second preferred embodiment variation, represented on figref[FIG. 3] , said hand operated means 19B comprise a (unique) control button 22 which leads, when it is kept depressed and that simultaneously the rudder bar 2 which was previously depressed is released (progressively) to a (progressive) increase of the compensation order, such increase being proportional to the clearance variation (release) of the rudder bar 2. The compensation order being generated corresponds to the one obtained upon the release of said control button 22.
These hand operated means 19B enable the value of bias RTS to be controlled efficiently and precisely.
Preferably the value of bias RTS varies from −100% (on the left side) to +100% (on the right side) and it is 0% at the neutral position.
Operationally:
As the rudder bar 2 is repositioned toward the neutral position by the pilot, and that the button 22 is kept depressed:
Once the rudder bar 2 is on the neutral position, the pilot releases the button 22 and the position of the rudder bar 2 takes action again in the composition of the pilot order (at the law input). The bias RTS being registered is then equivalent to the rudder bar position before the procedure.
Considering EqLat as the rudder control order wished by the pilot and IntLat as an intermediate position of the rudder bar 2, the situations shown on the following table are obtained upon the control above mentioned.
The compensation value is then incremented as long as the button 2 is depressed. Such increment corresponds to the difference between the rudder bar position (EqLat) at the moment where the button is depressed and the current position (IntLat) of the rudder bar 2.
Once the control procedure being ended, the rudder bar 2 is re-established in the neutral position (with no muscular effort) while having a pilot order correctly compensated for. The aircraft is thus for a long time balanced with no muscular effort on the rudder bar 2.
It should be noticed that:
In this second embodiment variation, said hand operated means 19B can also comprise a re-initialization button (not represented) which is for example similar to the re-initialization button 21 to put the compensation order to a nil value when it is operated.
The invention also comprises a particular embodiment being applied to an aircraft provided with an automatic piloting system (not shown) which equilibrates usually the aircraft in yawing over a non nil rudder order.
In such particular embodiment, the system 1 comprises means 24 to initialize automatically (via a link 25) upon the disengagement of said automatic piloting system being previously engaged, the value of compensation to the value of the rudder bar order controlled by such automatic piloting system before the disengagement thereof.
As the rudder bar 2 is at the neutral position at the moment of the disengagement of the automatic piloting system, a continuity of the rudder control is obtained, entering the laws as illustrated on the following table, where OPA represents the automatic piloting system (at the moment of the disengagement thereof).
In the field of the present invention, it can be authorized or not, on the system 1, to adjust by hand the bias RTS when the automatic piloting system is engaged (dissymmetry compensation). In a particular embodiment authorizing adjustment by hand, the order of the automatic piloting system is summed to the compensation controlled by hand to give the rudder control on the law input. In this case, a continuity of the disengagement order of the automatic piloting system is also ensured by a re-adjustment of the bias RTS value.


Tourists stranded as storms batter New Zealand
MOUNT HUTT: Almost 1,000 tourists were stranded in New Zealand's South Island on Monday (Dec 9) after wild storms cut highways, washed away bridges and flooded the rugged landscape.
Meteorologists said up to 400mm of rain was dumped on the South Island over 24 hours by a severe weather system that unleashed gale-force winds and 230,000 lightning strikes.
The main highway through the island was closed after the Rangitata river burst its banks. Townships near the popular Franz Josef glacier were isolated when landslips blocked road access.
READ: Several injured as White Island volcano in New Zealand erupts
With New Zealand entering its peak tourist season, some 970 travellers at Franz Josef were left facing the prospect of taking an expensive helicopter ride to get out or hunkering down until Friday, when the road is expected to be cleared.
"Between the community, the hotels and motels and our welfare centre we've managed to billet out most people overnight," Civil Defence spokesman Stephen Doran told TVNZ.
"We'd just ask people to stay put at the moment. We want to keep the work site clear so we can get supplies in there... and try to get the road into some sort of shape."
Another landslip on the island's west coast will take an estimated six weeks to clear.
The worst of the weather hit over the weekend and it is forecast to deteriorate again later in the week, leaving authorities scrambling during a brief respite to complete as much repair work as possible.


In the current strange times we know how hard it can be when your on your own. We provide a free volenteer callback service so you can chat with one of our volenteers
If you need urgent support please phone Samaritans: 116 123
Return back to the Hub.


Make good things happend
Search for causes that are special to you or juste look at what amazing charities are doing.
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Singapore


SQL Injection
Week 8
March 10th, 2016
SQL Injection, simply stated is a code injection (forced placement) technique that is used to attack applications that sources data, in which the malicious statements are inserted to gain access to that database. The use of the injection is the exploit security vulnerabilies to the application's software. The purpose of these attacks is to allow the attacker to gain access to the data, and tamper with the existing data, or simply destroying the data. The interesting think about SQL injection, is that it is a common issues with any database-driven websites. A study in 2012 shows that any site will be attacked by a SQL injection on average 4 times per month.
Here is a simple example from www.owasp.org of what is going on with an SQL injection:
In SQL:
select id, firstname, lastname from authors
If one provided:
Firstname:evil'ex Lastname: Newman
the query string becomes:
select id, firstname, lastname from authors where forename = 'evil'ex' and surname ='newman'
the database will attempt to run this as:
Incorrect syntax near il' as the datavase tried to excute evil.
At the core, the attack is accomplished by placing a meta character into data input to then place SQL commands in the control plane which did not exist there before. That being said, stopping attackers from accessing your database should be a top priority, as your database generally holds sensitive data that should not be open to anyone snooping about.


6 September 2004
Between 26 June and 2 September a total of 1077 cases and 35 deaths (case fatality rate 3.2%) of suspected hepatitis E has been reported from the refugees camps Goz Amer (973 cases; 31 deaths) and Goz Abal (63 cases; 3 deaths) and from the neighboring communities (Koukou, Am-Ouchar, Am -Bitin, Habile, Aradibe)
The WHO investigation team arrived in Koukou near Goz Amer camp on Saturday 2 September. They will identify the risk factors of the disease, and recommend appropriate control measures, including those targeting the water and sanitation.


--- title: Commit to a process, not a goal. date: '2015-05-19T09:27:05+05:30' tags: - misc tumblr_url: https://sureshshanmugam.com/post/119334747582/creativity ---
What’s the difference between goals and systems?
If you’re a coach, your goal is to win a championship. Your system is what your team does at practice each day.
If you’re a writer, your goal is to write a book. Your system is the writing schedule that you follow each week.
If you’re a runner, your goal is to run a marathon. Your system is your training schedule for the month.
If you’re an entrepreneur, your goal is to build a million dollar business. Your system is your sales and marketing process.


Responsive calendar Feb 09, 2013
Just a simple calendar I made, more than anything as a proof of concept that it can be easily done without using a table.
One thing to note though is that this uses some CSS3 that won't work in older browsers, in particular:
.cal_row > div:first-child,
.cal_row > div:nth-child(7n+8) {
border-left: 1px solid #e6e6e6;
}
This gives a left border to the first day of each row (all the other days have a right border only so as not to end up with a thick, double border). If you need it to look perfect in old browsers then this is an easy fix with a bit of javascript.
The idea behind this calendar was that the user would click on the day to add a new event and click on the link inside the day to edit existing events, this would happen in a modal window. I'll update it in another post with some of the styles for those actions.
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
29
30
1
2
3
4
5
6
7
8
9
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
June 1
2


Before Change
dv_call.variant.reference_name, dv_call.variant.start,
dv_call.variant.reference_bases))
if self.options.pic_options.alt_aligned_pileup != "none":
// Align the reads against each alternate allele, saving the sequences of
// those alleles along with the alignments for pileup images.
alt_info_for_samples = [
self.align_to_all_haplotypes(dv_call.variant, reads)
for reads in reads_for_samples
]
// Each sample has different reads and thus different alt-alignments.
haplotype_alignments_for_samples = [
sample["alt_alignments"] for sample in alt_info_for_samples
]
// All samples share the same alt sequences, so select the first one.
haplotype_sequences = alt_info_for_samples[0]["alt_sequences"]
pileup_images = self.pic.create_pileup_images(
dv_call=dv_call,
reads_for_samples=reads_for_samples,
haplotype_alignments_for_samples=haplotype_alignments_for_samples,
haplotype_sequences=haplotype_sequences)
else:
pileup_images = self.pic.create_pileup_images(
dv_call=dv_call, reads_for_samples=reads_for_samples)
if pileup_images is None:
// We cannot build a PileupImage for dv_call, issue a warning.
logging.warning("Could not create PileupImage for candidate at %s:%s",
dv_call.variant.reference_name, dv_call.variant.start)
After Change
dv_call.variant.reference_bases))
// Decide whether each candidate needs ALT-alignment.
alt_align_this_variant = False
if self.options.pic_options.alt_aligned_pileup != "none":
if self.options.pic_options.types_to_alt_align == "indels":
alt_align_this_variant = variant_utils.is_indel(dv_call.variant)
else: // types_to_alt_align can only be "all" or "indels".
alt_align_this_variant = True
haplotype_alignments_for_samples = None
haplotype_sequences = None
if alt_align_this_variant:
// Align the reads against each alternate allele, saving the sequences of
// those alleles along with the alignments for pileup images.
alt_info_for_samples = [
self.align_to_all_haplotypes(dv_call.variant, reads)
for reads in reads_for_samples
]
// Each sample has different reads and thus different alt-alignments.
haplotype_alignments_for_samples = [
sample["alt_alignments"] for sample in alt_info_for_samples
]
// All samples share the same alt sequences, so select the first one.
haplotype_sequences = alt_info_for_samples[0]["alt_sequences"]
pileup_images = self.pic.create_pileup_images(
dv_call=dv_call,
reads_for_samples=reads_for_samples,
haplotype_alignments_for_samples=haplotype_alignments_for_samples,


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Represents serious adverse events (those resulting in death, hospitalization, etc.) in the last 2 years
Click on a bar above to see detail below
None Found
MD = Physician;
rph = Pharmacist;
other = Other Health Professional;
atty = Attorney/Lawyer;
cons = Consumer or non-health professional;
unk = Unknown
| Date Received | Patient Reactions |
Patient Drugs * = suspect drug |
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Mauricio Pochettino sacked by Tottenham
by James CoxTottenham have made the bold call to sack Mauricio Pochettino and his coaching staff.
Pochettino led Spurs to top four finishes in four of his five seasons in charge while they reached their first Champions League final last season.
However, the club has suffered a huge slump in form this season with just five victories so far.
Spurs are currently 14th in the Premier League table.
Club chairman Daniel Levy said a change had to be made in the "club's best interests".
Levy said: "Regrettably domestic results at the end of last season and beginning of this season have been extremely disappointing.
"It falls to the Board to make the difficult decisions - this one made more so given the many memorable moments we have had with Mauricio and his coaching staff - but we do so in the Club's best interests.
"Mauricio and his coaching staff will always be part of our history.
"I have the utmost admiration for the manner in which he dealt with the difficult times away from a home ground whilst we built the new stadium and for the warmth and positivity he brought to us.
"I should like to thank him and his coaching staff for all they have contributed. They will always be welcome here.
"We have a talented squad. We need to re-energise and look to deliver a positive season for our supporters."
Pochettino has previously been heavily linked with Manchester United and Real Madrid, both of whom have managers at the moment.
It'll probably be a while until Spurs announce his successor but former United manager Jose Mourinho is the bookies favourite.


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