Remarks:
In person contact:
Phone Contact:
Review of Documentation:
| Severe Impairment
30 |
Moderate Impairment
20 |
Mild Impairment
10 |
Minimal or
No Impairment 0 |
|
|---|---|---|---|---|
SCHOOL/
|
daycare/school |
disobedience |
in frequent attention from teacher |
comfortable at school |
|
school/daycare |
behavior |
behavior results in frequent attention from teacher |
easily resolved |
|
|
statements considered potentially harmful to others |
school/daycare |
disobedience |
learning |
|
|
or made threats to hurt others |
accommodations are recommended or implemented due to disruptive behavior |
to poor attention or high activity level; not disruptive to others |
achievement consistent with skills & abilities , and cognitive disability |
|
|
minimum behavior standards for school/daycare |
special accommodations are recommended or implemented |
instructions or listen |
achievement consistent with skills & abilities, and physical disability |
|
|
accommodations do not mediate disruptive behavior |
average; no learning problem |
age appropriate |
||
|
by poor attention or high activity level |
||||
|
by learning disability |
| Severe Impairment
30 |
Moderate Impairment
20 |
Mild Impairment
10 |
Minimal or
No Impairment 0 |
|
|---|---|---|---|---|
HOME SUBSCALE
|
resulted in placement outside of home |
uncooperative or disobedient |
to follow rules at home |
cooperative |
|
management required to keep child at home |
instructions |
prodding & being watched |
are easily resolved |
|
|
supervision required |
age-appropriate chores/activities |
caregiver with behavior |
age appropriate |
|
|
has not resolved problem behavior |
uncooperative or disobedient lasting several days |
from caregiver for mastered tasks |
||
|
clinginess, demanded of caregiver |
demanding |
caregiver insists |
||
|
purpose |
to eat |
caregiver is not giving them attention |
||
|
refuses to eat |
|
| Severe Impairment
30 |
Moderate Impairment
20 |
Mild Impairment
10 |
Minimal or
No Impairment 0 |
|
|---|---|---|---|---|
COMMUNITY
|
older children involved in illegal activities |
be considered delinqu -ent if older |
problems not easily resolved |
on community |
|
things for older children; may be involved in illegal activity |
with older children who engage in delinquent behavior |
who get into serious trouble sometimes |
easily resolved |
|
|
money/property outside of home |
inappropriate |
fire on more than 1 occasion |
||
|
acts attempted or accomplished with other children |
intentionally plays with fire |
|||
|
but not confined |
||||
|
firesetting |
| Severe Impairment
30 |
Moderate Impairment
20 |
Mild Impairment
10 |
Minimal or
No Impairment 0 |
|
|---|---|---|---|---|
BEHAVIOR
|
inappropriate or bizarre behavior |
inappropriate behavior |
annoying to others |
interactions with others |
|
enough to cause harm to others |
behavior toward others |
temper tantrums when can’t get what they want |
are easily resolved |
|
|
inappropriate behavior toward another child |
annoys others |
annoyed by others |
appropriately |
|
|
animals – intentional |
temper tantrums |
interactions due to behavior |
||
|
peer interactions |
toward others or animals |
with peers |
||
|
bullying and harassment with others |
teasing |
|||
|
children |
stubborn a lot |
|||
|
prefers to be alone |
to share |
|||
|
other children |
||||
|
|
||||
|
periods when don’t get their way |
||||
|
|
||||
|
limiting peer interactions |
| Severe Impairment
30 |
Moderate Impairment
20 |
Mild Impairment
10 |
Minimal or
No Impairment 0 |
|
|---|---|---|---|---|
MOODS/EMOTIONS |
responses, viewed are strange or odd |
away from caregiver |
related to anxiety, fear or sadness |
experience of life stress |
|
when apart from caregiver, inconsolable |
sounds or noise |
fearful or worried |
Self- esteem |
|
|
attendance due to extreme anxiety being away from caregiver |
persistent worry |
by mistakes |
strong emotion |
|
|
expression associated with failure, interest in others, or interest in eating |
or unhappiness |
easily hurt |
behavior appropriately |
|
|
|
worthlessness |
anxious for several days at a time |
happy |
|
|
or comfort most of the time, sad |
outbursts |
joy or delight |
anxiety are age- appropriate |
|
|
|
emotions |
neatness, cleanliness |
||
|
expression |
|
|||
|
|
||||
|
changes to schedule or routine |
| Severe Impairment
30 |
Moderate Impairment
20 |
Mild Impairment
10 |
Minimal or
No Impairment 0 |
|
|---|---|---|---|---|
SELF-HARM
|
self- injurious behavior |
self- mutilation or injury, not life threatening |
accidental behavior resulting in injury |
self-harm |
|
self-harm behavior |
about or talks about dying, suicide, self-harm |
|||
|
|
| Severe Impairment
30 |
Moderate Impairment
20 |
Mild Impairment
10 |
Minimal or
No Impairment 0 |
|
|---|---|---|---|---|
THINKING
|
or language results in impossible communication |
irrelevant communication |
eccentric communication |
disordered though -t |
|
noncommunicative speech or nonverbal behavior |
or odd behavior |
or strange idea |
||
|
behavior; fantasy vs. reality |
hallucinations that interfere with functioning |
not hallucinations |
||
|
nonpurposeful behavior |
nonpurposeful behavior |
verbal expression |
||
|
refuses to talk |
thoughts or fantasies |
|||
|
when spoken to |
verbal expression |
|||
|
or speech |
This is not your official copy. Attach this to the signed copy of the assessment.


test compiled and minified CSS -->
Compressor example
Browser too old to support HTML5 audio? How depressing!
Add compression


Vienna Scala User Group
We are a bunch of software developers interested in discovering Scala, learning about new techniques and frameworks and meeting other Scala developers in the Vienna area. Our aim is to meet regularly in 4 week cycles and share knowledge and experiences about the Scala programming language and its ecosystem.
Developers from all skill levels eager to learn more
about this great language are welcome!
Come on and Join us! How?
- Subscribe to our Google group: http://groups.google.com/group/scala-vienna


Nutanix Workshops provides hands-on guides for understanding and implementing a variety of solutions on top of the leading Enterprise Cloud Platform.
Explore Nutanix's new Application-Centric Automation platform built directly into Prism Central. Build multi-tier application Blueprints from scratch and deploy additional Blueprints from the Nutanix Marketplace. Integrate with Calm's REST API, run Ansible, Docker, Jenkins - this Workshop has it all!
Learn the components of a XenDesktop environment, deploy virtual desktops and applications quickly & easily on Nutanix AHV, integrate native file services and user profles, perform Day 2 operations, and more!


This is a very opinionated and a somewhat non flexible validator, just a go to for basic validation.
Validator will validate on input blur, and on submit. It uses HTML5 data tags to configure what needs validated
Requirements
Inputs to validate must have a class of validate
There must be a div with class of errorContainer after input


25 May 2001
Disease Outbreak Reported
WHO has received reports of a total of 5636 cases including 392 deaths in ten out of the eleven regions in the country (see previous report). Although overall the epidemic is now declining, new zones and districts are still being affected. Médecins sans Frontières, Belgium, France, Holland and Switzerland and the Ethiopian Red Cross Society are assisting the Ethiopian Ministry of Health in implementing the vaccination campaigns. Campaigns has been concluded in those regions which had originally exceeded the epidemic threshold and the focus is now on newly affected areas, particularly 3 districts: Dembia in Amhara region; Degem and Abote in Oromiya region.
The International Coordinating Group on Vaccine Provision for Epidemic Meningitis Control (ICG) has released a further 370 000 doses of vaccine to the International Federation of Red Cross and Red Crescent Societies to assist in the implementation of the vaccination campaigns in the newly-affected areas.
In response to WHO's request to its partners in the Global Outbreak Alert and Response Network, a senior communicable disease epidemiologist in the Institut National de Veille Sanitaire, Paris, France provided support to the Ethiopian Ministry of Health in data analysis, strategy development and coordination of the response. A second epidemiologist from Swiss Disaster Relief, another partner in the Network, is continuing to assist the Epidemiological Department of the Ethiopian Ministry of Health and supporting the response in the Oromiya region.
Funds have been provided by the governments of Ireland and Japan for the international response.


|
mlpack
1.0.12
|
A sparse autoencoder is a neural network whose aim to learn compressed representations of the data, typically for dimensionality reduction, with a constraint on the activity of the neurons in the network. More...
Public Member Functions | |
| SparseAutoencoder (const arma::mat &data, const size_t visibleSize, const size_t hiddenSize, const double lambda=0.0001, const double beta=3, const double rho=0.01) | |
| Construct the sparse autoencoder model with the given training data. More... | |
| SparseAutoencoder (OptimizerType< SparseAutoencoderFunction > &optimizer) | |
| Construct the sparse autoencoder model with the given training data. More... | |
| void | Beta (const double b) |
| Sets the KL divergence parameter. More... | |
| double | Beta () const |
| Gets the KL divergence parameter. More... | |
| void | GetNewFeatures (arma::mat &data, arma::mat &features) |
| Transforms the provided data into the representation learned by the sparse autoencoder. More... | |
| void | HiddenSize (const size_t hidden) |
| Sets size of the hidden layer. More... | |
| size_t | HiddenSize () const |
| Gets the size of the hidden layer. More... | |
| void | Lambda (const double l) |
| Sets the L2-regularization parameter. More... | |
| double | Lambda () const |
| Gets the L2-regularization parameter. More... | |
| void | Rho (const double r) |
| Sets the sparsity parameter. More... | |
| double | Rho () const |
| Gets the sparsity parameter. More... | |
| void | Sigmoid (const arma::mat &x, arma::mat &output) const |
| Returns the elementwise sigmoid of the passed matrix, where the sigmoid function of a real number 'x' is [1 / (1 + exp(-x))]. More... | |
| void | VisibleSize (const size_t visible) |
| Sets size of the visible layer. More... | |
| size_t | VisibleSize () const |
| Gets size of the visible layer. More... | |
Private Attributes | |
| double | beta |
| KL divergence parameter. More... | |
| size_t | hiddenSize |
| Size of the hidden layer. More... | |
| double | lambda |
| L2-regularization parameter. More... | |
| arma::mat | parameters |
| Parameters after optimization. More... | |
| double | rho |
| Sparsity parameter. More... | |
| size_t | visibleSize |
| Size of the visible layer. More... | |
A sparse autoencoder is a neural network whose aim to learn compressed representations of the data, typically for dimensionality reduction, with a constraint on the activity of the neurons in the network.
Sparse autoencoders can be stacked together to learn a hierarchy of features, which provide a better representation of the data for classification. This is a method used in the recently developed field of deep learning. More technical details about the model can be found on the following webpage:
http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial
An example of how to use the interface is shown below:
This implementation allows the use of arbitrary mlpack optimizers via the OptimizerType template parameter.
| OptimizerType | The optimizer to use; by default this is L-BFGS. Any mlpack optimizer can be used here. |
Definition at line 70 of file sparse_autoencoder.hpp.
| mlpack::nn::SparseAutoencoder< OptimizerType >::SparseAutoencoder | ( | const arma::mat & | data, |
| const size_t | visibleSize, | ||
| const size_t | hiddenSize, | ||
| const double | lambda = 0.0001 , |
||
| const double | beta = 3 , |
||
| const double | rho = 0.01 |
||
| ) |
Construct the sparse autoencoder model with the given training data.
This will train the model. The parameters 'lambda', 'beta' and 'rho' can be set optionally. Changing these parameters will have an effect on regularization and sparsity of the model.
| data | Input data with each column as one example. |
| visibleSize | Size of input vector expected at the visible layer. |
| hiddenSize | Size of input vector expected at the hidden layer. |
| lambda | L2-regularization parameter. |
| beta | KL divergence parameter. |
| rho | Sparsity parameter. |
| mlpack::nn::SparseAutoencoder< OptimizerType >::SparseAutoencoder | ( | OptimizerType< SparseAutoencoderFunction > & | optimizer | ) |
Construct the sparse autoencoder model with the given training data.
This will train the model. This overload takes an already instantiated optimizer and uses it to train the model. The optimizer should hold an instantiated SparseAutoencoderFunction object for the function to operate upon. This option should be preferred when the optimizer options are to be changed.
| optimizer | Instantiated optimizer with instantiated error function. |
|
inline |
Sets the KL divergence parameter.
Definition at line 162 of file sparse_autoencoder.hpp.
References mlpack::nn::SparseAutoencoder< OptimizerType >::beta.
|
inline |
Gets the KL divergence parameter.
Definition at line 168 of file sparse_autoencoder.hpp.
References mlpack::nn::SparseAutoencoder< OptimizerType >::beta.
| void mlpack::nn::SparseAutoencoder< OptimizerType >::GetNewFeatures | ( | arma::mat & | data, |
| arma::mat & | features | ||
| ) |
Transforms the provided data into the representation learned by the sparse autoencoder.
The function basically performs a feedforward computation using the learned weights, and returns the hidden layer activations.
| data | Matrix of the provided data. |
| features | The hidden layer representation of the provided data. |
|
inline |
Sets size of the hidden layer.
Definition at line 138 of file sparse_autoencoder.hpp.
|
inline |
Gets the size of the hidden layer.
Definition at line 144 of file sparse_autoencoder.hpp.
References mlpack::nn::SparseAutoencoder< OptimizerType >::hiddenSize.
|
inline |
Sets the L2-regularization parameter.
Definition at line 150 of file sparse_autoencoder.hpp.
References mlpack::nn::SparseAutoencoder< OptimizerType >::lambda.
|
inline |
Gets the L2-regularization parameter.
Definition at line 156 of file sparse_autoencoder.hpp.
References mlpack::nn::SparseAutoencoder< OptimizerType >::lambda.
|
inline |
Sets the sparsity parameter.
Definition at line 174 of file sparse_autoencoder.hpp.
References mlpack::nn::SparseAutoencoder< OptimizerType >::rho.
|
inline |
Gets the sparsity parameter.
Definition at line 180 of file sparse_autoencoder.hpp.
References mlpack::nn::SparseAutoencoder< OptimizerType >::rho.
|
inline |
Returns the elementwise sigmoid of the passed matrix, where the sigmoid function of a real number 'x' is [1 / (1 + exp(-x))].
| x | Matrix of real values for which we require the sigmoid activation. |
Definition at line 120 of file sparse_autoencoder.hpp.
|
inline |
Sets size of the visible layer.
Definition at line 126 of file sparse_autoencoder.hpp.
|
inline |
Gets size of the visible layer.
Definition at line 132 of file sparse_autoencoder.hpp.
References mlpack::nn::SparseAutoencoder< OptimizerType >::visibleSize.
|
private |
KL divergence parameter.
Definition at line 195 of file sparse_autoencoder.hpp.
Referenced by mlpack::nn::SparseAutoencoder< OptimizerType >::Beta().
|
private |
Size of the hidden layer.
Definition at line 191 of file sparse_autoencoder.hpp.
Referenced by mlpack::nn::SparseAutoencoder< OptimizerType >::HiddenSize().
|
private |
L2-regularization parameter.
Definition at line 193 of file sparse_autoencoder.hpp.
Referenced by mlpack::nn::SparseAutoencoder< OptimizerType >::Lambda().
|
private |
Parameters after optimization.
Definition at line 187 of file sparse_autoencoder.hpp.
|
private |
Sparsity parameter.
Definition at line 197 of file sparse_autoencoder.hpp.
Referenced by mlpack::nn::SparseAutoencoder< OptimizerType >::Rho().
|
private |
Size of the visible layer.
Definition at line 189 of file sparse_autoencoder.hpp.
Referenced by mlpack::nn::SparseAutoencoder< OptimizerType >::VisibleSize().


Admin Assistant
Responsible for entering traffic tickets into database. Partially responsible for taking payments from customers and issuing them receipts. Responsible for answering the phone, taking messages, answering questions, and directing calls. Responsible for keeping inventory of office supplies and ordering more when necessary. Responsible for basic janitorial tasks.
Company URL 6055 Stanley Circle Bauxite,USA


Docker is a platform for developing and testing applications in isolated environments,
called containers, meaning that different applications won't interfere with one another.
Click here for more information.
Troubleshooting: Open Docker Desktop. If an error occurs, try updating your operating system to the most current version.
If this doesn't fix it, you may need to go into your system BIOS and enable virtualization.
Click for a step-by-step guide.
Common Commands
docker build [OPTIONS] PATH | URL| -: Builds Docker images from a Dockerfile and a “context”.
A build’s context is the set of files located in the specified PATH or URL.
docker run [OPTIONS] IMAGE[:TAG] [COMMAND] [ARG...]: Isolates a container process so that
it has its own file system, its own networking, and its own isolated process tree separate from the host.
docker ps [OPTIONS]: Lists containers and useful information about them.
docker stop CONTAINER [CONTAINER...]: Stops one or more running container. You can use the container ID in place of the container.
docker rm [OPTIONS] CONTAINER [CONTAINER...]: Remove one or more containers. You can use the container ID in place of the container.
Contianers must be stopped before than can be removed.
docker-compose up: Builds, (re)creates, starts, and attaches to containers for a service.
docker-compose down: Stops containers and removes containers, networks, volumes, and images created by docker-compose up.


CHESS POKER FIGHTER COMBAT GUERILLA ENGAGEMENT DESERT WARFARE AIR-TO-GROUND ACTIONS THEATERWIDE TACTICAL WARFARE THEATERWIDE BIOTOXIC AND CHEMICAL WARFARE GLOBAL THERMONUCLEAR WAR


In our six years #DevTO has worked diligently to organize timely, compelling, and engaging events for our tech-minded and developer community. In 2015, we set out to create one of our biggest and most poignant events yet: International Women’s Day Talks (#IWDTO). A day we celebrate and set a stage for women in tech to gather, speak and cheer with their allies.
Past #IWDTO speakers have included talented women in technical roles at companies like Twitter, twilio, Bitstrips, 500px, and Mozilla.
In March 2017, we renew our vows to support the movement, and hope you might join us too.
By attending this event you are agreeing to abide by the #DevTO Code of Conduct.
Refund Policy: Refunds will only be issued in the case the event is cancelled. Tickets can be transferred to someone else that can attend in your place.


Motivation
Your brain does not handle multitasking as well as you think. Enhance your productivity by focusing completely on one task at a time.
Application
Resisting distractions requires some discipline. There are many things you can do to make it easier:
Auto-hide your taskbar or dock. Close (or at least mute) your email and IM clients. Establish "no distraction" times in your team. If you tend to procrastinate, consider a service like RescueTime. If you are easily distracted by sounds, consider headphones. Some people listen to brown noise instead of music to block out distractions. Consequences
By focusing your attention on a single task at a time, you'll get more work done over a course of time, with better results on every task.


This page explains the semantic model that shall be used when specifying control policies.
This page explains the semantic model that shall be used when specifying control policies.
The current version of Plato supports a first, simple but effective way of policy-driven planning. A preservation plan can be based on a preservation scenario which links the content set that should be preserved to the user community it should be preserved for. Plato then, automatically, builds the requirements tree based on the control policies defined for this scenario.
Control policies have the general form policy(measure, value, qualifier, modality)
<owl:NamedIndividual rdf:about="FormatDocumentationMustBeFreelyAvailable">
<rdf:type rdf:resource="&control-policy;FormatObjective"/>
<control-policy:value rdf:datatype="&xsd;string">yes-free</control-policy:value>
<control-policy:property rdf:resource="&measures;147"/>
<pw:organizationScope rdf:resource="austrian_state_archives"/>
<control-policy:modality rdf:resource="&modalities;MUST"/>
</owl:NamedIndividual>


YaredAnbesie
About
Portfolio
Technologies
(current)
Contact
Technologies Used
Below is a growing list of the various technologies I have used.


--- layout: backedpost title: Ninja Tag subtitle: The Ultimate Game of Tag carousel-title: Ninja Tag carousel-subtitle: The Ultimate Game of Tag back-img: /assets/img/Ninja.png cover-img: /assets/img/frame.png carousel-img: /assets/img/NinjaCaro.png tags: [game, project] front-page: true comments: true full-width: false ---
Ninja Tag is the acrobatic free-for-all game of Tag! Take a break from training with your Sensei to chase down your friends online in two unique, fast-paced game modes!
As a Ninja, you have a bag of tricks to catch your friends and avoid the It! With access to two powers per round, you have to branch out and experiment to find your favorite abilities!
Disguise
Tar
Ice
Flash Bang
Invisiblity
Gravity Field
Aura Block
Anti-Gravity
Pick two
In Ninja Tag, you and your friends can play one of two game modes:
Classic Tag: The classic playground game played by Ninjas! Bob and weave across stages while running from the IT!
Void Tag: Cloak the world in darkness and flee the infected. Be the last to survive and then start it all again!
Ninja Tag is a prototype game made in C++. It is not available on any platforms... yet! We hope to expand the game with modding support, more game modes, and local multiplayer.
Ninja Tag is a ten-year-old project with new versions made every year for Christmas family reunions. The game was made as a multiplayer option for a family fed up with the four-player limits on games. Ninja Tag is a game with advanced platforming mechanics, netcode, and a constant iterative cycle with playtesting.


Website, HTML, CSS
HTML5, JavaScript
HTML5 Game build on JavaScript, HTML5. Multiplayer game, where each user will have chance to enter the correct binary or decimal code. Upon each correct submission your player will pass football to your team and step forward. Get ready for the goal.
View OnlineMEAN, Angular2, Typescript
To-do Application built using Node.js, MongoDB, Angular2. A complete application on MEAN. Here you can simply add new tasks and check the completed tasks. Also you can delete the task.
Github Link | View OnlineJavaScript, Three.js
It's a molecule viewer built with JavaScript and Three.js. It has some limited features like rotating and zooming in 3 axis.
View OnlineHTML5, JavaScript
HTML5 E-Learning game on basis of Multiple Choice Questions. This game has 5 levels and 5 different topics. By playing the game the user will definely reach in nearby point of snake and ladder. At that time a question will be asked to the user. If he/she attempts question correctly then the tick will go up with the ladder. And if attempted incorret then snake will bite and the tick will fall to the snake's tail.
Github Link | View Online


2004 Race Schedule
Montana Bicycle Racing Association (MBRA)
All
information subject to change, verify times dates etc.. with contact name
before race weekend.
RR=
road race MTB= mountain bike CR= circuit race SR= stage race TT= time trial
CRIT= criterium DH=downhill XC=Cross Country
Races highlighted in red are part of the 2004 Montana Road
Racing Series
Races highlighted in
pink are part of the 2004 Montana Road Racing
Series and the 2004 Montana Women’s Series
Races highlighted in green are part of the 2004 Montana
Mountain Bike Racing Series
Races highlighted in orange are part of the 2004 Montana
Mulit-sport Series
Click Here for more information regarding the Montana Women’s Road Racing Series
TENTATIVE 2005 ROAD RACING CALENDAR
FEBRUARY
7 (Sat) Officials’ Clinic (Cat. 4 ) Helena Don Russell<EMAIL_ADDRESS>www.peakscoachinggroup.com
21 (Sat) Winter
Nationals Montana Techno Crank Mountain Bike Race Butte Bob Waggoner
406.494.3577 Entry Form
28 (Sat) Officials’
Clinic (Cat. 3) Missoula Don Russell<EMAIL_ADDRESS>www.peakscoachinggroup.com
MARCH
20
(Sat) Training
Race #1 (RR) Clinton 5 Valley Velo Fred Michini<EMAIL_ADDRESS>www.fivevalleyvelo.com Entry Form
21
(Sun)
27
(Sat) Training
Race #2 (RR) Missoula 5 Valley Velo Fred Michini<EMAIL_ADDRESS>www.fivevalleyvelo.com Entry
Form
28
(Sun)
APRIL
3 (Sat) Spokane
Raceway Park (CR) Spokane,
WA Baddlands www.baddlands.org/races/flatlands/frozen.htm
4 (Sun) Frozen
Flatlands (RR) Cheney, WA Baddlands www.baddlands.org/races/flatlands/frozen.htm
10 (Sat) Rocky Mountain Roubaix (RR) Missoula 5 Valley
Velo Director TBD www.fivevalleyvelo.com Entry Form
MSU Race
(collegiate only) Bozeman MSU Cycling Andy Schultz<EMAIL_ADDRESS>11 (Sun) MSU
Race (collegiate only) Bozeman MSU Cycling Andy Schultz<EMAIL_ADDRESS>17 (Sat) Grizzly Triathlon Missoula Team Stampede Giles Thelan<EMAIL_ADDRESS>www.teamstampede.com
18 (Sun) Montana Velo Road Race (RR) Helena Montana
Velo Steve Coen<EMAIL_ADDRESS>ENTRY FORM
24
(Sat) Tour of
Walla Walla (SR) Walla Walla,
WA Steve Rapp http://www.tourofwallawalla.org/
25
(Sun) Tour of
Walla Walla (SR) Walla Walla,
WA Steve Rapp http://www.tourofwallawalla.org/
25
(Sun) Billings Peaks To Prairie Billings Chris Mouat<EMAIL_ADDRESS>http://www.rocky.edu<PHONE_NUMBER>.
MAY
1 (Sat) Highlands Road Race (RR) Butte Highlands
John Coulthard<EMAIL_ADDRESS>entry form
2 (Sun)
7 (Fri) Columbia
Plateau (SR) Heppner, OR Mark Schwyhart http://www.obra.org/columbiaplateau/race.htm
8 (Sat) Columbia
Plateau (SR) Heppner, OR Mark Schwyhart http://www.obra.org/columbiaplateau/race.htm
Star
Meadows Road Race (RR) Whitefish Flathead
Velo David Landstrom<EMAIL_ADDRESS>Entry
Form
9 (Sun) Columbia
Plateau (SR) Heppner, OR Mark Schwyhart http://www.obra.org/columbiaplateau/race.htm
15 (Sat) Belt Creek Omnium (O) Great Falls Echelon John Juras<PHONE_NUMBER><EMAIL_ADDRESS>ENTRY
FORM
Mutual of
Enumclaw SR Enumclaw, WA http://www.ticycles.com/racing/moe/
16 (Sun) Mutual of
Enumclaw SR Enumclaw, WA http://www.ticycles.com/racing/moe/
22 (Sat) TOSRV Swan River MOBI Deb Adams http://www.missoulabike.org/TOSRVIndex.htm
23 (Sun) Bearmouth Road Race (RR) Bearmouth Five
Valley Velo John Weyhrich<EMAIL_ADDRESS>www.fivevalleyvelo.com Entry Form
Cow Pie Grand Prix -XC Billings Yellowstone Valley Steve
Mysse<PHONE_NUMBER><EMAIL_ADDRESS>Entry Form
TOSRV Swan River MOBI Deb Adams http://www.missoulabike.org/TOSRVIndex.htm
28 (Fri) Ecology Center Classic (SR) Missoula 5
Valley Velo Jeff Crouch<EMAIL_ADDRESS>www.wildrockies.org/bikeclassic
29 (Sat) Ecology Center Classic (SR) Missoula 5 Valley Velo Jeff Crouch<EMAIL_ADDRESS>www.wildrockies.org/bikeclassic
30
(Sun) Ecology Center Classic (SR) Missoula 5
Valley Velo Jeff Crouch<EMAIL_ADDRESS>www.wildrockies.org/bikeclassic
31
(Mon) Ecology Center Classic (SR) Missoula 5
Valley Velo Jeff Crouch<EMAIL_ADDRESS>www.wildrockies.org/bikeclassic
JUNE
3
(Thur) Mount Hood
Classic SR Hood River OR http://www.mthoodcyclingclassic.com/
4
(Fri) Mount Hood Classic SR
Hood River OR http://www.mthoodcyclingclassic.com/
5
(Sat) Mount
Hood Classic SR Hood River OR http://www.mthoodcyclingclassic.com/
6
(Sun) Mount Hood
Classic SR Hood River OR http://www.mthoodcyclingclassic.com/
6
(Sun) Bigfork Paddle, Run,
Bike Tri Bigfork Montana Stan Watkins Kalispell Athletic Club
12 (Sat) Pintlar Classic (RR) Philipsburg Northern Rockies Tom Robertson entry info
13 (Sun)
19 (Sat)
20 (Sun) Rapelje Road Race (RR) Rapelje YVCC Shelly Harris<EMAIL_ADDRESS>406-256-2383. Entry
Form Map
25 (Fri) Elkhorn
Classic (SR) Baker, OR Nate Hobson The Elkhorn Classic Stage Race, OR
26 (Sat) Elkhorn Classic (SR) Baker,
OR Nate
Hobson The Elkhorn Classic Stage Race, OR
24
Hours Of Rapelje MTB Race Rapelje, MT Jason Frank 245-3827 E-Mail<EMAIL_ADDRESS>Ride Around the Pioneers in One Day (RATPOD) Dillion
http://www.ratpod.org/
27 (Sun) Elkhorn
Classic (SR) Baker, OR Nate Hobson The Elkhorn Classic Stage Race, OR
24 Hours Of Rapelje MTB
Race Rapelje, MT Grant Harris<EMAIL_ADDRESS>JULY
3
(Sat) Glacier
Challenge boat, bike, run Tri http://www.theglacierchallenge.com/
4
(Sun)
7 (Wed) Cascade
Classic Bend, OR http://www.cascade-classic.org/
8 (Thurs) Cascade
Classic Bend, OR http://www.cascade-classic.org/
9 (Fri) Cascade
Classic Bend, OR http://www.cascade-classic.org/
10 (Sat) Cascade Classic Bend,
OR http://www.cascade-classic.org/
11 (Sun) Cascade
Classic Bend, OR http://www.cascade-classic.org/
11
(Sun) Spring Meadow Triathlon Helena Ann Seifert<EMAIL_ADDRESS>www.greatdividecyclery.com
11 (Sun) Bohart Bash MTB, CC Bozeman Jenny McCune<EMAIL_ADDRESS>406-586-7044 entry info
16 (Fri) Big Sky State Games Billings Shelly
Harris<EMAIL_ADDRESS>406-256-2383.
17 (Sat) Big Sky State Games Billings Shelly
Harris<EMAIL_ADDRESS>406-256-2383.
18 (Sun) Big Sky State Games Billings Shelly
Harris<EMAIL_ADDRESS>406-256-2383.
24
(Sat) 24 Hours
Of Adrenaline MTB Canmore, Alberta http://www.24hoursofadrenalin.com/
25 (Sun) Cow
Country Classic RR State Champs Wolf Creek Great Divide Byron Deford<PHONE_NUMBER><EMAIL_ADDRESS>Entry Form
31
(Sat) Dry
Creek State Time Trial Championships Belgrade
GVBC<EMAIL_ADDRESS>http://www.gallatinvalleybicycleclub.org/
RACE INFO
AUGUST
1
(Sun) Thompson
Park Mountain Bike Race Butte Highlands Cycling John Coulthard<EMAIL_ADDRESS>Entry Form
7
(Sat)
8
(Sun) Marcus
Daly Criterium Hamilton Randy Lavall<PHONE_NUMBER> ENTRY FORM
12-22 Masters/Jrs/U-23
Nat’l Championships Park City, UT USA Cycling
14 (Sat) Fat Tire
Frenzy MTB XC,DH,Trials (State
Championsihps) Red Lodge Tara Reynolds<PHONE_NUMBER> x101<EMAIL_ADDRESS>15 (Sun) Fat
Tire Frenzy MTB XC,DH,Trials (State
Championsihps) Red Lodge Tara Reynolds<PHONE_NUMBER> x101<EMAIL_ADDRESS>21
(Sat) Garden
City Triathlon Missoula Team Stampede Director TBD
www.teamstampede.com
Lone Peak Revenge MTB Big Sky Andrew Schreiner www.grizzlyoutfitters.com<EMAIL_ADDRESS>22
(Sun) Lone Peak
Revenge MTB Big Sky Andrew Schreiner www.grizzlyoutfitters.com<EMAIL_ADDRESS>28
(Sat)
29
(Sun)
? Gear Grinder XC, DH,
Biker Cross Whitefish Pete Costain<EMAIL_ADDRESS>406.862.2911
SEPTEMBER
4 (Sat)
5 (Sun)
11 (Sat) Logan to Jackson (RR) Logan,
UT http://www.epek.com/LOTOJA/
12 (Sun) Werks Mountain Bike Race Helena MT Trevor
Brandt<EMAIL_ADDRESS>18 (Sat)
19 (Sun)
25 (Sat) Ascent of the Great Divide Helena Jeff
Thomas<EMAIL_ADDRESS>Entry
Form
26 (Sun)
? LIMB Fat
Tire Festival Missoula Kurt Krueger<EMAIL_ADDRESS>? Huckleberry Hillclimb
and Hellroaring DH Whitefish
Syd Ryerson<EMAIL_ADDRESS>or at<EMAIL_ADDRESS>? Big Mountain Biker
Cross Whitefish Syd Ryerson<EMAIL_ADDRESS><EMAIL_ADDRESS>Rainbow Falls Mtb
Race Great
Falls Great
Falls Bike Club John Juras<PHONE_NUMBER><EMAIL_ADDRESS>?
? Whitefish
Triathlon
OCTOBER
NOTE: FOR CYCLOCROSS SEASON SCHEDULE AND INFORMATION
CLICK RIGHT HERE!
2
(Sat)
3
(Sun) Western
Montana HillClimb Championships Missoula Missoulians
on Bicycles www.missoulabike.org/Rides/HillClimb.htm
9
(Sat) Hellgate
Mountain Bike Duathlon Missoula Team Stampede Jeff Crouch<EMAIL_ADDRESS>http://www.fivevalleyvelo.com/
10
(Sun)
23
(Sat) Great Falls Mountain Bike Race
NOVEMBER
NOTE: FOR CYCLOCROSS SEASON SCHEDULE AND INFORMATION
CLICK RIGHT HERE!
DECEMBER
NOTE: FOR CYCLOCROSS SEASON SCHEDULE AND INFORMATION
CLICK RIGHT HERE!
|2004
Calendar |2004 Results | Club
Contacts |
| Training rides | Past Years Archives | Subaru
Cup Series |
| Contact Us | Links | Email List Server | Race Promoters
|
| Home |


--- ---
There is really no way to set the standard hint window to be always visible. The trick is to set the HintHidePause to a large value. minutes should almost always be enough. The hint window is shown only when the user moves the mouse over a component and the keyboard is inactive. Not many users keep the cursor over a control longer than 10 minutes...:) The default value is 2500 miliseconds (2.5 seconds).
Application.HintHidePause := 600000;


I am a young man full af life and ambitions. Below is a record of my past from then,
to now.
I have successfully sitted for my primary and secondary certificates.
I have high hope that one day i would achieve my degree in computer science.
I want to one day be an IT expert.
I do have alot of hobbies, some are extremly dangerous, but nothing in life is fun
without risks. My hobbies include :


Contact Us
- We are here to provide all types of helf for our visitors .
- You can Contact us Freely ,,If you have some dificulties or Problems.
- We are providing Some Ways to our Visitors
- You can COntact Us In that ways.
- We are here To solve problems that you Concern the ways are given below
If Freshersoft’s visitors want any apps , Games or Browser You can get help by Provided Contact Ways.
-
-
-
-
Whatsapp: +923111004140
-
Whatsapp: +923018709257
Phone
+923111004140
Email
<EMAIL_ADDRESS>Location
Khanewal, Pakistan


{% extends 'base.html' %} {% block header %} Departments Employees {% endblock %} {% block main %}
Please, confirm removing


--- layout: default title: Repeat | Codez Runz Repeatz description: codez.runz.repeatz.github.io keywords: odez.runz.repeatz, open, source, open source, running, scala, c#, java, waf url: https://codez.runz.repeatz.com custom_css: repz.css custom_js: memberships.js ---
{{ job.headline }}, {{ job.chat }}


List of Nobel laureates from india
Rabindranath tagore
-
Tagore,He was the first to get nobel prize from india,He recieved prize for literature in 1921. He got nobel
Prize for his collection
of poems and qout,githanjali
-
Cv raman
- He got Nobel for physics in 1930 . He recieved nobel prize for his contribution called Raman effect
-
Mother terasa
- Mother terasa who founded missionaries of charity which is active in more than 100 countries recieved Nobel
prize in 1979.
-
amartyasen
-
amartyasen was awarded nobel prize in 1998. in economics.he had made contributions to welfare
economics,social choice theory,etc.
- kailash satyarthi
- He is a child right activist who founded "bachpan bachao andolan " in 1980. He shared nobel prize for peace
in 2014


Test 018
Hyphenate element manually
wait for it...
1: Hyphenate on load, changed later
Silbentrennungsalgorithmus
Sil•ben•tren•nungs•al•go•rith•mus
2: Hyphenate text added to element with class="hyphenate"
3: Hyphenate element with class="hyphenate" added to container
Test Ref


Made by Nadya Djojosantoso (@nadyafebi)
Source Code MIT License
Winner of "Best Game Hack" at "CodeDay Bay Area Fall 2018" hackathon.
Pokémon names and images are trademarks of Nintendo.


Edit Volunteer
Open Jobs
| Job Title | Charity | Start Date | End Date |
|---|---|---|---|
| [job name] | [charity] | [open date] | [closed date] |
Closed Jobs
| Job Title | Charity | Start Date | End Date |
|---|---|---|---|
| [job name] | [charity] | [open date] | [closed date] |
| Job Title | Charity | Start Date | End Date |
|---|---|---|---|
| [job name] | [charity] | [open date] | [closed date] |
| Job Title | Charity | Start Date | End Date |
|---|---|---|---|
| [job name] | [charity] | [open date] | [closed date] |


Switches work the same as checkboxes but display differently. The switch is right aligned and will take up the with of its container


Go Connected!
Here you can compute network connectivity for a general city or a route.
Steps: Search for your city → Select analysis type → If prompted, enter origin/destination → Select mode choice → Select trip purpose → Click submit!
City name:
Origin-Destination General Analysis
Origin:
Destination:
Mode Choice: --- Select an Option --- Walking Biking Public Transit
Trip Purpose: --- Select an Option --- Commute Exercise Shopping


---
layout: post
title: ! "Moustache froze up on bike ride to work this morning. I guess it \t/was/
pretty damn cold."
published: true
date: 2009-01-26
categories: []
posterous_url: http://verdammelt.posterous.com/moustache-froze-up-on-bike-rid
posterous_slug: moustache-froze-up-on-bike-rid
---
Toes are still warming up. Even with this bitter cold i still worked
up a sweat. Have to work on more bundling up where i got cold and
less bundling up where i got too warm!


Please use another device
This device is too small for this website..
Varun Engineering Work
Loading . . .
An ISO 2000:2022 certified company
We are engaged in manufacturing and supplying of a varied assortment of High Pressure Hydraulic Machine Vice. These handy vices are manufactured using supreme quality raw materials and used in array of applications. Few of its attributes are durability, toughness, Unbreakable steel body, supreme performance and corrosion resistance. Made from latest equipments and modern design, these vices are available with lock down mechanism, clamping pressure 4000 kg (aprox), No hammering and no pipe locking. Hardened & ground slide ways adds on to the reliability while using special tool materials. Features Of High Pressure Hydraulic Machine Vice :- • Unbreakable steel body, hardened & ground slide ways for longer repeated accuracy • Accuracy in squareness with in 0.02mm • No external Hydraulic Power Pack Required • Trouble free Performance • Extremely Easy to clamp & un-clamp. • No hammering, no pipe locking. • Supplied with or without swivel base • clamping pressure 4000 kg(aprox) • multi start screw rods are quick movement of hydraulic jaw & clamping • lock down mechanism for minimum cant & lift of jaws.
|
Model No. |
Maximum Clamping Presure |
Width Of Jaws |
Depth Of Jaws |
Opening Of Jaws |
Hight With Swieval Base |
HightWithoud Swieval Base |
Tenon Sizes In MM |
|
N-181 |
4000 KGS |
160MM |
67MM |
235MM |
175MM |
135MM |
16MM |
|
N-182 |
4000 KGS |
160MM |
67MM |
300MM |
175MM |
135MM |
16MM |
|
N-183 |
9000 KGS |
200MM |
80MM |
300MM |
230MM |
180MM |
18MM |
Tel. :-<PHONE_NUMBER>1,
Mob. :-<PHONE_NUMBER>5,<PHONE_NUMBER>5


WAW Map Tactics is all about Call of Duty: World at War maps and tactics for each map.
13 HD quality maps for all the standard maps of the game.
Maps can be zoomed in and out either by pinching or double-tapping.
Tips and tactics for every map whether you are a run 'n gun type, or a camper, or sniper or ninja.
Will add videos soon featuring tactics from famous players of the WAW game.
WAW Map Tactics is an unofficial reference material for the Call of Duty: World at War game. It is not authorized or endorsed by Activision and/or Treyarch. All images and game content are copyright to their respective owners and their use falls within fair use guidelines.
Special thanks to callofduty.wikia.com and cod4central.com for information contained in this application. Also thanks to nextgentactics.com for their videos.
For inquiries, send email to:
WAWMT@fantastatic.com


Price List
| Standard | VIP | |
|---|---|---|
| Adult | £7.00 | £9.00 |
| Child | £5.00 | £6.00 |
| Student | £6.00 | £7.50 |
| Senior | £6.00 | £7.00 |
| Teen | £5.50 | £7.00 |
| Small | Medium | Large | |
|---|---|---|---|
| Popcorn | £2.50 | £3.25 | £3.75 |
| Hot Dog | £3.00 | £3.75 | £4.25 |
| Soft Drink | £2.50 | £3.25 | £3.75 |
| Nachos | £3.50 | £4.00 | £4.25 |
{%include 'header.html' %}
| Standard | VIP | |
|---|---|---|
| Adult | £7.00 | £9.00 |
| Child | £5.00 | £6.00 |
| Student | £6.00 | £7.50 |
| Senior | £6.00 | £7.00 |
| Teen | £5.50 | £7.00 |
| Small | Medium | Large | |
|---|---|---|---|
| Popcorn | £2.50 | £3.25 | £3.75 |
| Hot Dog | £3.00 | £3.75 | £4.25 |
| Soft Drink | £2.50 | £3.25 | £3.75 |
| Nachos | £3.50 | £4.00 | £4.25 |


RT @1337807: Slides and code for my #rubyconf talk: http://www.slideshare.net/1337807/sauron-diy-home-security-with-ruby - Palantir: https://github.com/1337807/palantir all_seeing_pi: https://t.co/…
11/18/2014, 5:20:37 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @1337807: Slides and code for my #rubyconf talk: http://www.slideshare.net/1337807/sauron-diy-home-security-with-ruby - Palantir: https://github.com/1337807/palantir all_seeing_pi: https://t.co/…
11/18/2014, 5:20:37 PM
Favs: 0
Retweets: 0
link


Interface IResolveContext
Captures the state for a call to Resolve(IResolveContext) (or TryResolve(IResolveContext, out Object)), including the container on which the operation is invoked, any IScopedContainer that might be active for the call (if different), and the type that is being resolved from the IContainer.
Inherited Members
Namespace: Rezolver
Assembly: Rezolver.dll
Syntax
public interface IResolveContext : IScopeFactory
Remarks
The context implements IScopeFactory and correctly handles whether a new child scope should be created either from the Scope or the Container.
Properties
| Improve this Doc View SourceContainer
The container for this context.
Declaration
IContainer Container { get; }
Property Value
| Type | Description |
|---|---|
| IContainer |
Remarks
This is the container which received the original call to Resolve(IResolveContext), but is not necessarily the same container that will eventually end up resolving the object.
Previous
Gets the IResolveContext from which this context was created, if any.
Declaration
IResolveContext Previous { get; }
Property Value
| Type | Description |
|---|---|
| IResolveContext |
RequestedType
Gets the type being requested from the container via a call to its Resolve(IResolveContext) (or similar) method(s).
Declaration
Type RequestedType { get; }
Property Value
| Type | Description |
|---|---|
| Type |
Remarks
During any given Resolve(IResolveContext) (or similar) operation, this type will not necessarily equal the type being constructed at that time.
For example, if you inject the context into a constructor (enabled by default via the InjectResolveContext configuration) and instrospect it, this type will only equal a service against which that type is registered if that object is being created directly for that resolve operation.
If it is being created in order to be injected into another object, then this property is more likely to equal that type's registered service type.
Scope
Gets the scope that's active for all calls for this context.
Declaration
IContainerScope Scope { get; }
Property Value
| Type | Description |
|---|---|
| IContainerScope | The scope. |
Methods
| Improve this Doc View SourceNew(Type, IContainer, IContainerScope)
Creates a new context from this one, typically with at least one of the properties changed according to the parameters you pass.
Note that if none of the parameters are provided; or if none of the parameters have different values from those already on the properties of the context, then the method can return the same instance on which it is called.
Declaration
IResolveContext New(Type newRequestedType = null, IContainer newContainer = null, IContainerScope newScope = null)
Parameters
| Type | Name | Description |
|---|---|---|
| Type | newRequestedType | Optional - a new type to be resolved. If a new context is created, then its RequestedType will be inherited from this context, unless a non-null type is passed to this parameter. |
| IContainer | newContainer | Optional - a new container to be used for the new context. If a new context is created, then its Container will be inherited from this context unless a non-null container is passed to this parameter. |
| IContainerScope | newScope | Optional - a new scope to be used for the new context. If a new context is created, then its Scope will be inherited from this context unless a non-null container is passed to this parameter. Note the implication: once a context has a non-null Scope, it's not possible to create a new, child, context which has a null scope. |
Returns
| Type | Description |
|---|---|
| IResolveContext |
Resolve(Type)
Resolves a new instance of a different type from the same scope/container that originally received the current Resolve operation.
Declaration
object Resolve(Type newRequestedType)
Parameters
| Type | Name | Description |
|---|---|---|
| Type | newRequestedType | New type to be resolved. |
Returns
| Type | Description |
|---|---|
| Object |
Remarks
Use this method, or the generic equivalent, to resolve dependency services in a factory or expression using the same container that's serving the current resolve operation.
If a scope is active then it will be honoured.
Resolve<TResult>()
Resolves a new instance of a different type from the same scope/container that originally received the current Resolve operation. This is a deliberate mirror of the same method on IContainer.
Declaration
TResult Resolve<TResult>()
Returns
| Type | Description |
|---|---|
| TResult |
Type Parameters
| Name | Description |
|---|---|
| TResult | New type to be resolved. |
Remarks
Use this method, or the non-generic equivalent, to resolve dependency services in a factory or expression.
If a scope is active then it will be honoured.
TryResolve(Type, out Object)
Mirror of the TryResolve(IResolveContext, out Object) method which works directly off this resolve context - taking into account the current Container and Scope
Declaration
bool TryResolve(Type newRequestedType, out object result)
Parameters
| Type | Name | Description |
|---|---|---|
| Type | newRequestedType | The type to be resolved. |
| Object | result | Receives the result of a successful resolve operation. |
Returns
| Type | Description |
|---|---|
| Boolean | A boolean indicating whether the operation was successful. |
Remarks
Use this method, or the non-generic equivalent, to resolve dependency services in a factory or expression.
If a scope is active then it will be honoured.
TryResolve<TResult>(out TResult)
Generic equivalent of TryResolve(Type, out Object)
Declaration
bool TryResolve<TResult>(out TResult result)
Parameters
| Type | Name | Description |
|---|---|---|
| TResult | result | Receives the result of a successful resolve operation. |
Returns
| Type | Description |
|---|---|
| Boolean | A boolean indicating whether the operation was successful. |
Type Parameters
| Name | Description |
|---|---|
| TResult | The type to be resolved. |


Applescript for iTerm (and a request for help with it)
iTerm is a major part of my workspace. I’m a big fan of tabbed interfaces, and my fingers have gotten really good at the Apple-← and Apple-→ key combos to swap between them. I usually have three tabs going:
- One that runs Unison in batch mode to keep my mac and BSD machines in sync. I set the title of this one to “unisoner”.
- A second logged into my BSD machine in the package folder to easily relink the site package when I add files to it. This is the “relinker”. (Also, this one occasionally is used to
tail -f
on the apache log file.) - A third sitting in my code folder to do CVS updates, open files, grep for stuff, etc. This is “cvser”.
Of course, it’s a pain to go through the steps to set all this up. So, I wrote this Applescript, and it does it all:
tell Application "iTerm"
activate
set myterm to (make new terminal)
tell myterm
if (count of sessions) < 3 then
my open_tab("title unisoner
cd dev/orion
unisonpush
unisondev")
my open_tab("v
yroot orion_front
title relinker-tailer
cd dev/orion/front/package
yapl")
my open_tab("title cvser
cd dev/orion
open -a TextMate orion.tmproj")
end if
end tell
terminate first session of current terminal
end tell
on open_tab(command)
tell Application "iTerm" to tell first terminal
launch session "Default Session"
tell last session
write text command
end tell
end tell
end run_command
The only problem is, it requests a password when it ssh'es into my dev box and changes to the project root. So, that whole piece falls down.
Anyone out there in geek land know of a way to make an Applescript respond to things like that? Something like this:
whenever the last line is "Password:" then
write text returned of (display dialog "Password:" default answer "")
end if
Update:
Turns out, what I suggested is pretty close to what works. However, since there’s no event to listen for that would tell the script that the display has been updated, it takes a bit of fudging, and doesn’t always work perfectly. Basically, you put @@@PASSWORD@@@
in the list of commands where you may expect a password prompt, and it’ll wait for a second and display a dialog if necessary.
on open_tab(command)
set commands to paragraphs in command
tell Application "iTerm" to tell first terminal
launch session "Default Session"
repeat with currentCommand in commands
if (text of currentCommand = "@@@PASSWORD@@@") then
do shell script "sleep 1"
set pw to last word of (get contents of last session)
if pw = "Password" then
tell Application "Finder"
activate
set pw to text returned of (display dialog "Password:" default answer "" with hidden answer)
end tell
tell Application "iTerm" to activate
tell last session to write text pw
end if
else
tell last session to write text currentCommand
end if
end repeat
end tell
end open_tab
Get the finished product: Applescript for iTerm. You’ll want to change up the specific commands up near the top, of course.


Binary¶
-
class
binary.
BinaryOutcomeModel
(add_intercept: bool = False, compute_statistics: bool = True, bootstrap_marginal_effect_variances: bool = False)¶ A binary outcome model that Logit and Probit are built on
-
bootstrap
(X: numpy.ndarray)¶ Implement bootstrap method for marginal effect variance computation for Logit and Probit Bootstrap variance of marginal effects (X (n x k)) Output: (n x k) - variances for k marginal effects for the n observations
-
compute_marginal_effects
(X: numpy.ndarray, beta: numpy.ndarray)¶ Calculate marginal effects given X and beta
-
compute_statistics
()¶ Compute standard error
-
delta_method
()¶ Implement delta method for marginal effect variance computation for Logit or Probit
-
fit
(X: numpy.ndarray, y: numpy.ndarray)¶ Fit binary model, using the BFGS algorithm for MLE (minimize the negative log-likelihood)
-
get_covariance_matrix
()¶ Compute covariance matrix for the parameters The asymptotical variance is the inverse information matrix
-
get_dummy_columns
()¶ refresh dummy_columns list - tells which column in X is dummy variable, which one is continuous
-
get_marginal_effect_variances
(X: numpy.ndarray)¶ Calculate variance of marginal effects X (n x k) Output: (n x k) - variances for k marginal effects for the n observations
-
get_marginal_effects
(X: numpy.ndarray, variances: bool = True)¶ Calculate marginal effects X (n x k) - must follow the structure of X Output: (n x k) - k marginal effects for the n observations
variances: - variances for the (n x k) marginal effects -> return (marginals, var_marginals)
-
information
()¶ Implement Fisher Information matrix computation
-
link_function
()¶ Implement link function for Logit or Probit
-
link_function_derivative
()¶ Implement the derivative link function for Logit or Probit
-
objective_function
(beta: numpy.ndarray)¶ negative log likelihood
-
predict
(X)¶ Predict probability: Pr(y=1|x) return y_hat and Pr(y=1|x)
-
score
()¶ Implement objective function derivative
-
-
class
binary.
Logit
(**kwargs)¶ Fit logit
-
delta_method
(X: numpy.ndarray)¶ Calculate variance of marginal effects (X (n x k)) Output: (n x k) - variances for k marginal effects for the n observations
-
information
()¶ Compute Fisher information matrix
-
link_function
(X: numpy.ndarray, beta: numpy.ndarray)¶ probit or logit, can be used for prediction, so does not use self.X as default
-
link_function_derivative
(X: numpy.ndarray, beta: numpy.ndarray)¶ The derivative of the link function
-
score
(beta: numpy.ndarray)¶ Return the first derivative of the objective function at beta
-
-
class
binary.
Probit
(**kwargs)¶ Fit probit
-
delta_method
(X: numpy.ndarray)¶ Calculate variance of marginal effects (X (n x k)) Output: (n x k) - variances for k marginal effects for the n observations
-
information
()¶ Compute Fisher information matrix
-
link_function
(X: numpy.ndarray, beta: numpy.ndarray)¶ probit -> standard normal distribution, can be used for prediction, so does not use self.X as default
-
link_function_derivative
(X: numpy.ndarray, beta: numpy.ndarray)¶ The derivative of the link function
-
score
(beta: numpy.ndarray)¶ Return the first derivative of the objective function at beta
-


The rivers of India play an important role in the lives of the Indian people. The river systems provide irrigation, potable water, cheap transportation, electricity, as well as provide livelihoods for a large number of people all over the country. This easily explains why nearly all the major cities of India are located by the banks of river. The rivers also have an important role in Hindu mythology and are considered holy by all Hindus in the country.
Seven major rivers (Indus, Brahmaputra, Narmada, Tapi, Godavari, Krishna and Mahanadi )along with their numerous tributaries make up the river system of India. Most of the rivers pour their waters into the Bay of Bengal.
Based on their source, the Indian River system is classified in to - Himalayan Rivers and Peninsular Rivers.
The Himalayan Rivers, as the name suggests originate from the Himalayas and flow through the Northern Plains.
Peninsular River System or Peninsular Drainage emerges mainly from the Western Ghats. Since the Western Ghats form a ‘water divide’, these rivers either flow eastwards into the Bay of Bengal or into the Arabian Sea towards the west. Peninsular Rivers are basically ‘rain fed’ rivers.


>> The Planetary In-Situ Capillary Electrophoresis System (PISCES) is a portable, miniature, modular instrument designed to analyze molecular signatures of extraterrestrial life. The instrument uses microcapillary electrophoresis (µCE) with laser-induced fluorescence detection (LIFD) to analyze fluorescently-labeled analytes prepared on a multilayer microfluidic chip.
>> PISCES is divided into three main systems:
[1] The pneumatic system is the processing core of PISCES. It contains 48 electrofluidic solenoid valves which open and close together in various sequences to induce movement of fluids through an array of interconnecting channels on one layer of the microfluidic chip. On this layer of the chip, introduced samples are processed with a set of stored reagents before separation by µCE.
[2] The µCE system is the analytical core of PISCES. It contains an electrophoretic channel integrated into a separate layer of the microfluidic chip. By generating a strong electric field across the fluidic medium in the channel, separation of a chemical mixture into components of differing mass and charge is achieved.
[3] The LIFD system is the detection core of PISCES. It uses an optical pathway and spectrometer to detect laser induced fluorescence of labeled analytes passing through the electrophoretic channel.
>> Before my arrival, it was clear what PISCES needed to do, what parts it needed, what qualifying experiments needed to be performed, etc., but it had not yet been designed.
>> That summer, it was my job to begin designing and building the instrument. I made a fair amount of progress in the ten weeks I was there, but had to go back to university before completing the instrument. I learned a shitton while working on this project. It was my first introduction to Solidworks, LabVIEW, AutoCAD, Arduino, microfluidics, rapid prototyping, circuit design, and optics. It was very fun, and I've been hardware hacking ever since.
>> PISCES is divided into five modules, each of which can be easily detached from the system for subsystem testing in extreme environments mimicking the desired planetary target.
>> The pneumatic module contains the pneumatics and control circuitry required to operate the 48 electrofludiic solenoid valves responsible for on chip sample processing. This includes two micropumps (air and vacuum), pumping manifolds (to interface the micropumps with the solenoid valves), a printed circuit board (to interface the control circuitry with the solenoid valves), an Arduino microcontroller (to switch the solenoid valves between states), and an h-bridge solenoid driver board (to convert the Arduino's unipolar digital output to the bipolar voltage input that the solenoids require).
The µ module contains the circuitry required to apply between 3-15 kV to the microdevice's electrophoretic channel. This includes two 3kV HV power supplies and one 15kV power supply, and circuitry allowing control over and monitoring of the output voltage for each power supply.


Module pyzkaccess.event
View Source
__all__ = [
'Event',
'EventLog'
]
import itertools
import time
from collections import deque
from copy import deepcopy
from datetime import datetime
from typing import Optional, List, Iterable, Union, Sequence
from .common import DocValue
from .enum import VerifyMode, PassageDirection, EVENT_TYPES
from .sdk import ZKSDK
class Event:
"""
One realtime event occured on the device
Since the device returns event as string we need to parse it to the
structured view. This class does this.
"""
__slots__ = (
'time',
'pin',
'card',
'door',
'event_type',
'entry_exit',
'verify_mode'
)
def __init__(self, s):
"""
:param s: Event string to be parsed.
"""
parsed = self.parse(s)
self.time = datetime.strptime(parsed[0], '%Y-%m-%d %H:%M:%S') # type: datetime
self.pin = parsed[1] # type: str
self.card = parsed[2] # type: str
self.door = int(parsed[3]) # type: int
self.event_type = EVENT_TYPES[int(parsed[4])] # type: DocValue
self.entry_exit = PassageDirection(int(parsed[5])) # type: PassageDirection
self.verify_mode = VerifyMode(int(parsed[6])) # type: VerifyMode
@property
def description(self) -> str:
msg = 'Event[{}]: "{}" at door "{}" for card "{}" -- {}'.format(
str(self.time), self.event_type.doc, self.door, self.card,
self.entry_exit.name.capitalize()
)
return msg
@staticmethod
def parse(event_line: str) -> Sequence[str]:
"""
Parse raw event string
:param event_line: event string
:return: parsed string parts of event string
"""
event_line = event_line.replace('\r\n', '')
items = event_line.split(',')
if len(items) != 7:
raise ValueError("Event string must have exactly 7 parts: {}".format(event_line))
return items
def __eq__(self, other):
if isinstance(other, Event):
return all(getattr(self, attr) == getattr(other, attr) for attr in self.__slots__)
return False
def __ne__(self, other):
return not self.__eq__(other)
def __str__(self):
return 'Event(' \
+ ', '.join('{}={}'.format(k, getattr(self, k)) for k in self.__slots__) \
+ ')'
def __repr__(self):
return self.__str__()
class EventLog:
"""Log of realtime events
Keep in mind that log is not filled out automatically and
should be refreshed periodically by hand using `refresh()`
method. This is because working with ZKAccess has
request-response nature and cannot up a tunnel which may be
used to feed events.
But you can use `poll()` method which awaits new events from
a device and return them if any.
Log is implemented at top of deque structure, so accessing by
index and filtering could be slow.
"""
def __init__(self,
sdk: ZKSDK,
buffer_size: int,
maxlen: Optional[int] = None,
only_filters: Optional[dict] = None,
_data: Optional[deque] = None):
self.buffer_size = buffer_size
self.data = _data if _data is not None else deque(maxlen=maxlen)
self.only_filters = only_filters or {}
self._sdk = sdk
def refresh(self) -> int:
"""Make a request to a device for new records and append to the
end if any.
:return: count of records which was added
"""
# ZKAccess always returns single event with code 255
# on every log query if no other events occured. So, skip it
new_events = [e for e in self._pull_events() if e.event_type != 255]
count = 0
while new_events:
self.data.extend(new_events)
count += sum(1 for _ in self._filtered_events(new_events))
new_events = [e for e in self._pull_events() if e.event_type != 255]
return count
def after_time(self, after_time: datetime) -> Iterable[Event]:
"""
Return events which was occured after given time
:param after_time: datetime object to filter (included)
:return:
"""
return filter(lambda x: x.time >= after_time, self._filtered_events(self.data))
def before_time(self, before_time: datetime) -> Iterable[Event]:
"""
Return events which was occured before given time
:param before_time: datetime object to filter (excluded)
:return:
"""
return filter(lambda x: x.time < before_time, self._filtered_events(self.data))
def between_time(self, from_time: datetime, to_time: datetime) -> Iterable[Event]:
"""
Return events which was occured between two given time moments
:param from_time: datetime object to filter (included)
:param to_time: datetime object to filter (excluded)
:return:
"""
return filter(lambda x: from_time <= x.time < to_time, self._filtered_events(self.data))
def poll(self, timeout: float = 60, polling_interval: float = 1) -> List[Event]:
"""
Wait for new events by making periodically requests to a device.
If events was appeared then return them. If no event was
appeared until timeout was expired then return empty iterable.
:param timeout: timeout in seconds. Default: 60 seconds
:param polling_interval: interval to make a requests in seconds.
Default: every 1 second
:return: iterable with new events if any or empty iterable if
timeout has expired
"""
deadline = datetime.now().timestamp() + timeout
while datetime.now().timestamp() < deadline:
count = self.refresh() # Can run up to several seconds depending on network
if count:
reversed_events = self._filtered_events(reversed(self.data))
res = list(itertools.islice(reversed_events, None, count))[::-1]
return res
time.sleep(polling_interval)
return []
def only(self, **filters) -> 'EventLog':
"""
Return new EventLog instance with given filters applied.
Kwargs names must be the same as Event slots.
Event log returned by this method will contain entries in
which attribute value is contained in appropriate filter
(if any).
Filters passed here will be ANDed during comparison. On
repeatable call of only, given filters which was also set
on previous call will be ORed, i.e. their values will be
concatenated.
In other words:
```log.only(a=2, b=['x', 'y'])` => filtering(entry.a == 2 AND entry.b in ('x', 'y'))```
```log.only(a=2, b=['x', 'y']).only(a=3, b=5, c=1) =>
filtering(entry.a in (2, 3) AND entry.b in ('x', 'y', 5) and entry.c == 1)```
Ex: `new_log = log.only(door=1, event_type=221)`
:param filters:
:return: new fitlered EventLog instance
"""
only_filters = self._merge_filters(self.only_filters, filters)
obj = self.__class__(self._sdk,
self.buffer_size,
self.data.maxlen,
only_filters,
_data=self.data)
return obj
def clear(self) -> None:
"""Clear log"""
self.data.clear()
@staticmethod
def _merge_filters(initial: dict, fltr: dict) -> dict:
"""
Merge two filter dicts, fltr updates initial. Key-values which
does not exist in initial will be copied. Value of existent
keys are combined (values always are lists).
:param initial: updating initial filter dict
:param fltr: filter dict which updates initial
:return: merged filter dict
"""
seq_types = (tuple, list, set, frozenset)
res = deepcopy(initial)
for key, value in fltr.items():
if not isinstance(value, seq_types):
value = {value}
if key in res:
res[key].update(value)
else:
res[key] = set(value)
return res
def _filtered_events(self, data: Iterable[Event]) -> Iterable[Event]:
"""
Apply current filters to given events and return only events
which meet them
:param data: unfiltered events
:return: filtered events
"""
if not self.only_filters:
yield from data
return
for event in data:
if not self.only_filters:
yield event
else:
all_match = all(getattr(event, field) in fltr
for field, fltr in self.only_filters.items())
if all_match:
yield event
def _pull_events(self) -> Iterable[Event]:
events = self._sdk.get_rt_log(self.buffer_size)
return (Event(s) for s in events)
def __getitem__(self, item: Union[int, slice]) -> Union[Iterable[Event], Event]:
seq = self._filtered_events(self.data)
if not isinstance(item, slice):
try:
return next(itertools.islice(seq, item, None))
except StopIteration:
raise IndexError('Index is out of range') from None
start, stop, step = item.start, item.stop, item.step
return itertools.islice(seq, start, stop, step)
def __len__(self) -> int:
if not self.only_filters:
return len(self.data)
return sum(1 for _ in self._filtered_events(self.data))
def __iter__(self):
return iter(self._filtered_events(self.data))
def __str__(self):
items_str = ', '.join(str(x) for x in self[:3])
if len(self) > 6:
items_str += ', ..., ' + ', '.join(str(x) for x in self[3:])
return 'EventLog[{}]({})'.format(len(self), items_str)
def __repr__(self):
return self.__str__()
Classes
Event
class Event(
s
)
One realtime event occured on the device Since the device returns event as string we need to parse it to the structured view. This class does this.
View Source
class Event:
"""
One realtime event occured on the device
Since the device returns event as string we need to parse it to the
structured view. This class does this.
"""
__slots__ = (
'time',
'pin',
'card',
'door',
'event_type',
'entry_exit',
'verify_mode'
)
def __init__(self, s):
"""
:param s: Event string to be parsed.
"""
parsed = self.parse(s)
self.time = datetime.strptime(parsed[0], '%Y-%m-%d %H:%M:%S') # type: datetime
self.pin = parsed[1] # type: str
self.card = parsed[2] # type: str
self.door = int(parsed[3]) # type: int
self.event_type = EVENT_TYPES[int(parsed[4])] # type: DocValue
self.entry_exit = PassageDirection(int(parsed[5])) # type: PassageDirection
self.verify_mode = VerifyMode(int(parsed[6])) # type: VerifyMode
@property
def description(self) -> str:
msg = 'Event[{}]: "{}" at door "{}" for card "{}" -- {}'.format(
str(self.time), self.event_type.doc, self.door, self.card,
self.entry_exit.name.capitalize()
)
return msg
@staticmethod
def parse(event_line: str) -> Sequence[str]:
"""
Parse raw event string
:param event_line: event string
:return: parsed string parts of event string
"""
event_line = event_line.replace('\r\n', '')
items = event_line.split(',')
if len(items) != 7:
raise ValueError("Event string must have exactly 7 parts: {}".format(event_line))
return items
def __eq__(self, other):
if isinstance(other, Event):
return all(getattr(self, attr) == getattr(other, attr) for attr in self.__slots__)
return False
def __ne__(self, other):
return not self.__eq__(other)
def __str__(self):
return 'Event(' \
+ ', '.join('{}={}'.format(k, getattr(self, k)) for k in self.__slots__) \
+ ')'
def __repr__(self):
return self.__str__()
Static methods
parse
def parse(
event_line: str
) -> Sequence[str]
Parse raw event string :param event_line: event string :return: parsed string parts of event string
View Source
@staticmethod
def parse(event_line: str) -> Sequence[str]:
"""
Parse raw event string
:param event_line: event string
:return: parsed string parts of event string
"""
event_line = event_line.replace('\r\n', '')
items = event_line.split(',')
if len(items) != 7:
raise ValueError("Event string must have exactly 7 parts: {}".format(event_line))
return items
Instance variables
card
description
door
entry_exit
event_type
pin
time
verify_mode
EventLog
class EventLog(
sdk: pyzkaccess.sdk.ZKSDK,
buffer_size: int,
maxlen: Union[int, NoneType] = None,
only_filters: Union[dict, NoneType] = None,
_data: Union[collections.deque, NoneType] = None
)
Log of realtime events
Keep in mind that log is not filled out automatically and
should be refreshed periodically by hand using refresh()
method. This is because working with ZKAccess has
request-response nature and cannot up a tunnel which may be
used to feed events.
But you can use poll()
method which awaits new events from
a device and return them if any.
Log is implemented at top of deque structure, so accessing by index and filtering could be slow.
View Source
class EventLog:
"""Log of realtime events
Keep in mind that log is not filled out automatically and
should be refreshed periodically by hand using `refresh()`
method. This is because working with ZKAccess has
request-response nature and cannot up a tunnel which may be
used to feed events.
But you can use `poll()` method which awaits new events from
a device and return them if any.
Log is implemented at top of deque structure, so accessing by
index and filtering could be slow.
"""
def __init__(self,
sdk: ZKSDK,
buffer_size: int,
maxlen: Optional[int] = None,
only_filters: Optional[dict] = None,
_data: Optional[deque] = None):
self.buffer_size = buffer_size
self.data = _data if _data is not None else deque(maxlen=maxlen)
self.only_filters = only_filters or {}
self._sdk = sdk
def refresh(self) -> int:
"""Make a request to a device for new records and append to the
end if any.
:return: count of records which was added
"""
# ZKAccess always returns single event with code 255
# on every log query if no other events occured. So, skip it
new_events = [e for e in self._pull_events() if e.event_type != 255]
count = 0
while new_events:
self.data.extend(new_events)
count += sum(1 for _ in self._filtered_events(new_events))
new_events = [e for e in self._pull_events() if e.event_type != 255]
return count
def after_time(self, after_time: datetime) -> Iterable[Event]:
"""
Return events which was occured after given time
:param after_time: datetime object to filter (included)
:return:
"""
return filter(lambda x: x.time >= after_time, self._filtered_events(self.data))
def before_time(self, before_time: datetime) -> Iterable[Event]:
"""
Return events which was occured before given time
:param before_time: datetime object to filter (excluded)
:return:
"""
return filter(lambda x: x.time < before_time, self._filtered_events(self.data))
def between_time(self, from_time: datetime, to_time: datetime) -> Iterable[Event]:
"""
Return events which was occured between two given time moments
:param from_time: datetime object to filter (included)
:param to_time: datetime object to filter (excluded)
:return:
"""
return filter(lambda x: from_time <= x.time < to_time, self._filtered_events(self.data))
def poll(self, timeout: float = 60, polling_interval: float = 1) -> List[Event]:
"""
Wait for new events by making periodically requests to a device.
If events was appeared then return them. If no event was
appeared until timeout was expired then return empty iterable.
:param timeout: timeout in seconds. Default: 60 seconds
:param polling_interval: interval to make a requests in seconds.
Default: every 1 second
:return: iterable with new events if any or empty iterable if
timeout has expired
"""
deadline = datetime.now().timestamp() + timeout
while datetime.now().timestamp() < deadline:
count = self.refresh() # Can run up to several seconds depending on network
if count:
reversed_events = self._filtered_events(reversed(self.data))
res = list(itertools.islice(reversed_events, None, count))[::-1]
return res
time.sleep(polling_interval)
return []
def only(self, **filters) -> 'EventLog':
"""
Return new EventLog instance with given filters applied.
Kwargs names must be the same as Event slots.
Event log returned by this method will contain entries in
which attribute value is contained in appropriate filter
(if any).
Filters passed here will be ANDed during comparison. On
repeatable call of only, given filters which was also set
on previous call will be ORed, i.e. their values will be
concatenated.
In other words:
```log.only(a=2, b=['x', 'y'])` => filtering(entry.a == 2 AND entry.b in ('x', 'y'))```
```log.only(a=2, b=['x', 'y']).only(a=3, b=5, c=1) =>
filtering(entry.a in (2, 3) AND entry.b in ('x', 'y', 5) and entry.c == 1)```
Ex: `new_log = log.only(door=1, event_type=221)`
:param filters:
:return: new fitlered EventLog instance
"""
only_filters = self._merge_filters(self.only_filters, filters)
obj = self.__class__(self._sdk,
self.buffer_size,
self.data.maxlen,
only_filters,
_data=self.data)
return obj
def clear(self) -> None:
"""Clear log"""
self.data.clear()
@staticmethod
def _merge_filters(initial: dict, fltr: dict) -> dict:
"""
Merge two filter dicts, fltr updates initial. Key-values which
does not exist in initial will be copied. Value of existent
keys are combined (values always are lists).
:param initial: updating initial filter dict
:param fltr: filter dict which updates initial
:return: merged filter dict
"""
seq_types = (tuple, list, set, frozenset)
res = deepcopy(initial)
for key, value in fltr.items():
if not isinstance(value, seq_types):
value = {value}
if key in res:
res[key].update(value)
else:
res[key] = set(value)
return res
def _filtered_events(self, data: Iterable[Event]) -> Iterable[Event]:
"""
Apply current filters to given events and return only events
which meet them
:param data: unfiltered events
:return: filtered events
"""
if not self.only_filters:
yield from data
return
for event in data:
if not self.only_filters:
yield event
else:
all_match = all(getattr(event, field) in fltr
for field, fltr in self.only_filters.items())
if all_match:
yield event
def _pull_events(self) -> Iterable[Event]:
events = self._sdk.get_rt_log(self.buffer_size)
return (Event(s) for s in events)
def __getitem__(self, item: Union[int, slice]) -> Union[Iterable[Event], Event]:
seq = self._filtered_events(self.data)
if not isinstance(item, slice):
try:
return next(itertools.islice(seq, item, None))
except StopIteration:
raise IndexError('Index is out of range') from None
start, stop, step = item.start, item.stop, item.step
return itertools.islice(seq, start, stop, step)
def __len__(self) -> int:
if not self.only_filters:
return len(self.data)
return sum(1 for _ in self._filtered_events(self.data))
def __iter__(self):
return iter(self._filtered_events(self.data))
def __str__(self):
items_str = ', '.join(str(x) for x in self[:3])
if len(self) > 6:
items_str += ', ..., ' + ', '.join(str(x) for x in self[3:])
return 'EventLog[{}]({})'.format(len(self), items_str)
def __repr__(self):
return self.__str__()
Methods
after_time
def after_time(
self,
after_time: datetime.datetime
) -> Iterable[pyzkaccess.event.Event]
Return events which was occured after given time :param after_time: datetime object to filter (included) :return:
View Source
def after_time(self, after_time: datetime) -> Iterable[Event]:
"""
Return events which was occured after given time
:param after_time: datetime object to filter (included)
:return:
"""
return filter(lambda x: x.time >= after_time, self._filtered_events(self.data))
before_time
def before_time(
self,
before_time: datetime.datetime
) -> Iterable[pyzkaccess.event.Event]
Return events which was occured before given time :param before_time: datetime object to filter (excluded) :return:
View Source
def before_time(self, before_time: datetime) -> Iterable[Event]:
"""
Return events which was occured before given time
:param before_time: datetime object to filter (excluded)
:return:
"""
return filter(lambda x: x.time < before_time, self._filtered_events(self.data))
between_time
def between_time(
self,
from_time: datetime.datetime,
to_time: datetime.datetime
) -> Iterable[pyzkaccess.event.Event]
Return events which was occured between two given time moments :param from_time: datetime object to filter (included) :param to_time: datetime object to filter (excluded) :return:
View Source
def between_time(self, from_time: datetime, to_time: datetime) -> Iterable[Event]:
"""
Return events which was occured between two given time moments
:param from_time: datetime object to filter (included)
:param to_time: datetime object to filter (excluded)
:return:
"""
return filter(lambda x: from_time <= x.time < to_time, self._filtered_events(self.data))
clear
def clear(
self
) -> None
Clear log
View Source
def clear(self) -> None:
"""Clear log"""
self.data.clear()
only
def only(
self,
**filters
) -> 'EventLog'
Return new EventLog instance with given filters applied. Kwargs names must be the same as Event slots.
Event log returned by this method will contain entries in which attribute value is contained in appropriate filter (if any).
Filters passed here will be ANDed during comparison. On repeatable call of only, given filters which was also set on previous call will be ORed, i.e. their values will be concatenated.
In other words:
log.only(a=2, b=['x', 'y'])` => filtering(entry.a == 2 AND entry.b in ('x', 'y'))
log.only(a=2, b=['x', 'y']).only(a=3, b=5, c=1) =>
filtering(entry.a in (2, 3) AND entry.b in ('x', 'y', 5) and entry.c == 1)
Ex: new_log = log.only(door=1, event_type=221)
:param filters:
:return: new fitlered EventLog instance
View Source
def only(self, **filters) -> 'EventLog':
"""
Return new EventLog instance with given filters applied.
Kwargs names must be the same as Event slots.
Event log returned by this method will contain entries in
which attribute value is contained in appropriate filter
(if any).
Filters passed here will be ANDed during comparison. On
repeatable call of only, given filters which was also set
on previous call will be ORed, i.e. their values will be
concatenated.
In other words:
```log.only(a=2, b=['x', 'y'])` => filtering(entry.a == 2 AND entry.b in ('x', 'y'))```
```log.only(a=2, b=['x', 'y']).only(a=3, b=5, c=1) =>
filtering(entry.a in (2, 3) AND entry.b in ('x', 'y', 5) and entry.c == 1)```
Ex: `new_log = log.only(door=1, event_type=221)`
:param filters:
:return: new fitlered EventLog instance
"""
only_filters = self._merge_filters(self.only_filters, filters)
obj = self.__class__(self._sdk,
self.buffer_size,
self.data.maxlen,
only_filters,
_data=self.data)
return obj
poll
def poll(
self,
timeout: float = 60,
polling_interval: float = 1
) -> List[pyzkaccess.event.Event]
Wait for new events by making periodically requests to a device. If events was appeared then return them. If no event was appeared until timeout was expired then return empty iterable. :param timeout: timeout in seconds. Default: 60 seconds :param polling_interval: interval to make a requests in seconds. Default: every 1 second :return: iterable with new events if any or empty iterable if timeout has expired
View Source
def poll(self, timeout: float = 60, polling_interval: float = 1) -> List[Event]:
"""
Wait for new events by making periodically requests to a device.
If events was appeared then return them. If no event was
appeared until timeout was expired then return empty iterable.
:param timeout: timeout in seconds. Default: 60 seconds
:param polling_interval: interval to make a requests in seconds.
Default: every 1 second
:return: iterable with new events if any or empty iterable if
timeout has expired
"""
deadline = datetime.now().timestamp() + timeout
while datetime.now().timestamp() < deadline:
count = self.refresh() # Can run up to several seconds depending on network
if count:
reversed_events = self._filtered_events(reversed(self.data))
res = list(itertools.islice(reversed_events, None, count))[::-1]
return res
time.sleep(polling_interval)
return []
refresh
def refresh(
self
) -> int
Make a request to a device for new records and append to the end if any. :return: count of records which was added
View Source
def refresh(self) -> int:
"""Make a request to a device for new records and append to the
end if any.
:return: count of records which was added
"""
# ZKAccess always returns single event with code 255
# on every log query if no other events occured. So, skip it
new_events = [e for e in self._pull_events() if e.event_type != 255]
count = 0
while new_events:
self.data.extend(new_events)
count += sum(1 for _ in self._filtered_events(new_events))
new_events = [e for e in self._pull_events() if e.event_type != 255]
return count


From ML experiments to production:
Versioning and Reproducibility with MLV-tools
Stéphanie Bracaloni and Sarah Diot-Girard
About Us
Sarah Diot-Girard
Data Scientist since 2012
Interested in DataOps and Ethics
@SgdJlbl
Stéphanie Bracaloni
Software Engineer since 2013
Automation and Code Quality
@sbracaloni
The story, all names, characters, and incidents portrayed in this production are fictional.
All similarities with existing past or future Data Science projects are purely coincidental.
@SDG
Obligatory DISCLAIMER
Monday morning, 9am
@SDG
It's Monday morning, 9am.
You're an happy DS.
Confusion Matrix
ROC Curve
@SDG
You sent the results to your boss.
She loves it. She want it in production asap.
Monday morning, 10am
@SDG (@SBI => "It's me")
It's Monday morning, 10am.
You are asking your SE coworker for help.
@SDG
- git repo with format not really compatible with git versioning
- hardcoded stuff (path, user, ...)
- hardcoded hyperparameters
Two weeks later
@SDG
Two weeks later.
It's Monday morning, 9am.
You have worked hard to clean up the POC. It's a bit better but...
@SDG
Two weeks later.
It's Monday morning, 9am.
You have worked hard to clean up the POC. It's a bit better but...
@SBI
-Python lib + collection of tests
- CI to auto test running + code quality + PACKAGING
- No more NB, pipeline == set of scripts
- NO Data in the repo
=> long time we know how to structure CODE PRJ => tests auto and quality checks
and GIT perfect for versioning
@SDG=> Yes, but you reached a point here! It is not just a CODE PRJ
POC vs PROD
vs Data Scientist
vs Software Engineer
@SDG
This is the story of
On the source versioning, now the SE and the DS are happy
Not quite yet
@SDG still a young project
Suitable to our use cases, eager to hear about your usage and problematics
Gladly welcoming contributions and feature requests
For the data scientists
Modular improvements
Fast iterations
Confidence in results
Cannot loose data
For the engineers
Full power of IDE
Functional tests
CI and production-ready
Fast iterations thanks to saved intermediary results
@SBI: IDE => Enjoy IDE features
Now plan how to pacjgae to go in prod
...
We are waiting for your Pull Requests!
github.com/peopledoc/ml-versioning-tools
github.com/peopledoc/mlv-tools-tutorial
Today at 3:00PM How to easily set up and version your Machine Learning pipelines,
using DVC and MLV-tools
<EMAIL_ADDRESS>stephanie_bracaloni@ultimatesoftware.com


About Us
Birth Of Sachdev Overseas, A House Of Imported Quality Sports Goods And Fitness Equipments. Before Proceeding To Introduce Ourselves, We Would Like To Give Prominence To Our Parent Company M/S. Sachdev Sports Co. Which Was Established Way Back In The Year 1928 By Late Shri Ram Ratan Sachdev, Who Hailed From Sialkot In Pakistan. He Later Migrated To India And Settled In Hyderabad. He Started A Small Sports Goods Showroom With A Small Turnover And Grew Slowly With His Untiring Efforts With Good Mannerism With Customers.
Copyrights @ 2015 Sachdev Aerofit, All right reserved. | Privacy Policy
Number of visitors 10,00,000


Macros | |
| #define | VERSION_NUMBER 1030000U |
Functions | |
| uint32_t | Version_getLibVersion (void) |
| #define VERSION_NUMBER 1030000U |
Version number to be returned by Version_getLibVersion()
Referenced by Version_getLibVersion().
| uint32_t Version_getLibVersion | ( | void | ) |
Returns the driverlib version number
This function can be used to check the version number of the driverlib.lib that is in use. The version number will take the format x.xx.xx.xx, so for example, if the function returns 2100200, the driverlib version being used is <IP_ADDRESS>.
References VERSION_NUMBER.


Type function Library display.* Return value SpriteObject Revision Current Public Release (2013.2076) Keywords sprite, animation Sample code /CoronaSDK/SampleCode/Sprites/ See also Animated Sprites & Methods
Sprites allow animated sequences of image frames that reside on image sheets. Please see the Image Sheets (Sprite Sheets) guide for more information.
By default, sprites use image frames that come from a single image sheet. This corresponds to the image sheet you pass to the contructor display.newSprite()
.
For each sequence, you can specify a different image sheet instead of using the default image sheet. You do this by using the optional sheet
parameter in a sequenceData
table (see 'Format for sequenceData' below).
display.newSprite( imageSheet, sequenceData )
display.newSprite( parent, imageSheet, sequenceData )
ImageSheet. Specifies the default image sheet.
Table. A table that holds data for a specific sequence. Or, if you have more than one animation sequence for a single object, sequenceData is then an array of tables that hold data for each sequence. For instance, you might have a character object with several different animation sequences such as: "walking", "jumping", "swimming". Frames in a given sequence may be consecutive (1,2,3,4,…) or non-consecutive (1,3,4,6,9,…) within the image sheet. See 'Format for sequenceData' below.
GroupObject. Parent display object.
sequenceData
String. This is a unique name for your sequence, and is used to load the sequence when it is time to play the animation (I’ll go over this in a moment).
Number. For consecutive-frame sequences, start
represents the starting frame.
Number. For consecutive-frame sequences, count
represents how many frames from the start that the sequence should end.
Array. For non-consecutive-frame sequences, this is an array that holds the frameIndex in the exact order animation should be played.
ImageSheet. You can specify a per-sequence image sheet. Typically you would do this if you wanted to use a different image sheet. If none is provided, it defaults to the image sheet you provided to display.newSprite()
.
Number. This is the time (in milliseconds) between each frame. If this is not specified, then animation will be based on the framerate of your app.
Number. This is a number that represents how many times you want the sequence to loop when it is played. Setting this to 1 will play the sequence once and then stop. The default is 0, which will loop the sequence indefinitely.
String. This can either be “forward” or “bounce”, with “forward” being the default if don’t set this parameter. The “bounce” option will play forward, then backwards through the sequence of frames.
A tutorial on using sprites can be found here. Animated Sprites & Methods
This type of sequence is when the animation frames in your image sheet are in consecutive order.
-- Example assumes 'imageSheet' already created from graphics.newImageSheet()
-- consecutive frames
local sequenceData =
{
name="walking",
start=3,
count=6,
time=100, -- Optional. In ms. If not supplied, then sprite is frame-based.
loopCount = 0 -- Optional. Default is 0 (loop indefinitely)
loopDirection = "bounce" -- Optional. Values include: "forward","bounce"
}
local character = display.newSprite( imageSheet, sequenceData )
This is essentially the same as the previous example, but instead, you pass a frames
array that specifies the non-consecutive frameIndex order in which the animation will play.
-- Example assumes 'imageSheet' already created using graphics.newImageSheet()
-- non-consecutive frames
local sequenceData =
{
name="walking",
frames= { 3, 4, 5, 6, 7, 8 }, -- frame indexes of animation, in image sheet
time = 50, -- Optional. In ms. If not supplied, then sprite is frame-based.
loopCount = 0 -- Optional. Default is 0.
}
local character = display.newSprite( imageSheet, sequenceData )
The example below shows how to have several animation sequences for a single sprite object. Notice how you can have both consecutive and non-consecutive frame sequences in the sequenceData array.
-- Example assumes 'imageSheet' already created using graphics.newImageSheet()
local sequenceData =
{
{ name="walking", start=1, count=3 },
{ name="running", frames={ 3, 4, 5, 6, 7, 8 }, time=50, loopCount=4 },
{ name="jumping", start=9, count=13, time=300 }
}
local character = display.newSprite( imageSheet, sequenceData )
The example below shows how to use multiple unique image sheets for a single sprite object. This is achieved by adding a sheet
parameter to each sequence declaration, specifying which image sheet it should pull its frames from.
-- 1st image sheet
local sheetData1 = { width=64, height=64, numFrames=6, sheetContentWidth=384, sheetContentHeight=64 }
local sheet1 = graphics.newImageSheet( "mySheet1.png", sheetData1 )
-- 2nd image sheet
local sheetData2 = { width=64, height=64, numFrames=6, sheetContentWidth=384, sheetContentHeight=64 }
local sheet2 = graphics.newImageSheet( "mySheet2.png", sheetData2 )
-- In your sequences, add the parameter 'sheet=' referencing which image sheet the sequence should use
local sequenceData = {
{ name="seq1", sheet=sheet1, start=1, count=6, time=220, loopCount=0 },
{ name="seq2", sheet=sheet2, start=1, count=6, time=220, loopCount=0 }
}
local myAnimation = display.newSprite( sheet1, sequenceData )
myAnimation.x = display.contentWidth/2 ; myAnimation.y = display.contentHeight/2
myAnimation:play()
-- After a short time, swap the sequence to 'seq2' which uses the second image sheet
local function swapSheet()
myAnimation:setSequence( "seq2" )
myAnimation:play()
end
timer.performWithDelay( 2000, swapSheet )


"use strict";
import {ReferencedResource} from "./server-types";
/**
* Inform that a new resource was created. Server will
* add a Location header and set status to 201
*/
export class NewResource extends ReferencedResource {
/**
* Constructor. Receives the location of the new resource created.
* @param location To be added to the Location header on response
*/
constructor(location: string) {
super(location, 201);
}
}
/**
* Inform that the request was accepted but is not completed.
* A Location header should inform the location where the user
* can monitor his request processing status.
*/
export class RequestAccepted extends ReferencedResource {
/**
* Constructor. Receives the location where information about the
* request processing can be found.
* @param location To be added to the Location header on response
*/
constructor(location: string) {
super(location, 202);
}
}
/**
* Inform that the resource has permanently
* moved to a new location, and that future references should use a
* new URI with their requests.
*/
export class MovedPermanently extends ReferencedResource {
/**
* Constructor. Receives the location where the resource can be found.
* @param location To be added to the Location header on response
*/
constructor(location: string) {
super(location, 301);
}
}
/**
* Inform that the resource has temporarily
* moved to another location, but that future references should
* still use the original URI to access the resource.
*/
export class MovedTemporarily extends ReferencedResource {
/**
* Constructor. Receives the location where the resource can be found.
* @param location To be added to the Location header on response
*/
constructor(location: string) {
super(location, 302);
}
}
/**
* Used to download a resource.
*/
export class DownloadResource {
/**
* Constructor.
* @param filePath The file path to download.
* @param fileName The file name
*/
constructor(public filePath: string, public fileName: string) {}
}
/**
* Used to download binary data as a file.
*/
export class DownloadBinaryData {
/**
* Constructor. Receives the location of the resource.
* @param content The binary data to be downloaded as a file.
* @param mimeType The mime-type to be passed on Content-Type header.
* @param fileName The file name
*/
constructor(public content: Buffer, public mimeType: string, public fileName: string) {}
}
|


--- layout: post authors: ["Greg Wilson"] title: "Announcing June 2014 Lab Meeting" date: 2014-06-09 time: "20:30:00" tags: ["Community", "Lab Meeting"] ---
The next of our monthly online lab meetings will take place on Thursday, June 26, at 10:00 am and 7:00 pm Eastern time. (As always, we'll hold it twice to accommodate people's work schedules and time zones.) We will update this Etherpad with agenda items as the date approaches.


Primitives for building step based UI widgets controlled by swipe, timers, and/or buttons.
dub-step provides an API for updating the state of an index or "step".
next
is called.Extends Component
(any)
These props affect how/when the step and associated state is updated.
(number)
: Regardless of swipe direction, the step is iterated. Defaults to
false
.
(function)
: Called after the step has changed and after animationSpeed seconds if present. Defaults to
() => {}
.
(function)
: Called when a swipe/drag is moved. Warning: This gets called
a lot
. Defaults to
() => {}
.
This component is responsible for tracking touch/drag interactions and sets dub-steps swipe state properties respectively.
ReactElement
:
// In this example, GlamorousDogeImg is a glamorous.img. The only required prop here is component. The rest gets passed through for glamorous to for styling purposes (Like css transforms).
// NOTE: Glamorous is only used as an example. Any kind of component can be passed to the component prop.
// If no component is passed, a div will be used.
<Step
component={GlamorousDogeImg}
swipeLeftDistance={swipeLeftDistance}
dragging={dragging}
src={url}
alt="doge pic"
/>
This component is responsible for starting an internal interval that increments the step by the stepInterval value.
ReactElement
:
// Any dub-step component can be customized by passing a `component` prop.
<Play component={MyCustomPlayButton}>Play</Play>
This component is responsible for setting the current step of dub-step.
(object)
| Name | Description |
|---|---|
props.component (ReactElement | string)
(default button )
|
The element to render |
(number)
The step to which dub-step should change.
ReactElement
:
// Remember, any other prop added gets passed through to the component.
<StepIndex
step={index}
onMouseEnter={() => console.log(`About to switch to step ${index}`)}
>
{stepNumber}
</StepIndex>
The state of dub-step and prop getters/actions for changing the state are exposed as a parameter to the render prop.
The paramters of this function can be split into 4 categories: State, Components, Actions.
component
prop which allows you to control your UI,
add internal props, and pass through any additional props you add. Examples include: Step, Next, Previous, Play, Pause.
NOTE: Each component has an alternative and respective "prop getter", if that pattern is preferred. These are functions named get*ControlProps.
Call/spread these on the element you're rendering for a given purpose. For example: <button {...getNextControlProps(otherProps)}))>Next</button>
.
It's advisable to pass all your props to that function rather than applying them on the element yourself to avoid your props being overridden (or overriding the props returned).Type: object
(number)
: state - The current step of dub-step. Controlled.
(boolean)
: state - Is dub-step paused? Controlled.
(boolean)
: state - Is the step component transition animating?
(boolean)
: state - Has the swipe threshold been reached?
(boolean)
: state - Has the step component been initially dragged?
(number)
: state - A number representing the distance the step component has been dragged horizontally.
(number)
: state - A number representing the distance the step component has been dragged vertically.
(boolean)
: state - Has the step component been dragged enough to be moved to the next/previous step?
(number)
: state - A number between 0 and 1 with nearness to 1 representing closeness to being swiped.
(number)
: state - Either 1 or -1. 1 representing right and -1 representing left.
(ReactElement)
: Component - This component is responsible for tracking touch/drag interactions and sets dub-steps swipe state properties respectively.
Alternatively, use
getStepProps
if you prefer the prop getter patern. Returns the props you should apply to an element you render that is expected to have swipe/drag interactions.
(ReactElement)
: Component - This component is responsible for incrementing the step by the stepInterval value.
Alternatively, use
getNextControlProps
if you prefer the prop getter pattern. It returns the props you should apply to a next button element you render.
(ReactElement)
: Component - This component is responsible for decrementing the step by the stepInterval value.
Alternatively, use
getPreviousControlProps
if you prefer the prop getter patern. It returns the props you should apply to a previous/back button element you render.
(ReactElement)
: Component - This component is responsible for starting an internal interval that increments the step by the stepInterval value.
Alternatively, use
getPlayControlProps
if you prefer the prop getter patern. It returns the props you should apply to a play button element you render.
(ReactElement)
: Component - This component is responsible for clearing an internal interval that increments the step by the stepInterval value.
Alternatively, use
getPauseControlProps
if you prefer the prop getter patern. It returns the props you should apply to a pause button element you render.
(ReactElement)
: Component - This component is responsible for setting the current step of dub-step.
NOTE: It takes a step prop representing the step to which dub-step should change.
Alternatively, use
getStepControlProps
if you prefer the prop getter patern. It returns the props you should apply to an element you render that sets the step of dub-step.
(function)
: Action - Increments the step by the stepInterval.
(function)
: Action - Decrements the step by the stepInterval.
(function)
: Action - Starts the dub-step incrementor interval.
(function)
: Action - Pauses dub-step.


{% extends "base.html" %} {% load widget_tweaks %} {% block content %} {% block form_heading %}{% endblock %} {% block form %} {% endblock %} Contact Details Free free to send us a note. We will endeavor to get back to you within 24hrs. Also, we promise we will never use your email address for anything other than to chat with you, nothing more, nothing less, period, full stop - Thank uou! {% endblock %}
Free free to send us a note. We will endeavor to get back to you within 24hrs. Also, we promise we will never use your email address for anything other than to chat with you, nothing more, nothing less, period, full stop - Thank uou!


This is your life. Do what you love, and do it often. If you don’t like something, change it. If you don’t like your job, quit.
If you are looking for the love of your life, stop; They will be waiting for you when you start doing things you love.
If you don’t have enough time, stop watching TV.
Stop over analyzing, life is simple. All emotions are beautiful. When you eat, appreciate every last bite.
Open your mind, arms, and heart to new things and people, we are united in our differences.
Ask the next person you see what their passion is and share your inspiring dream with them.
Travel often; getting lost will help you find yourself.
Life is about the people you meet, and the things you create with them so go out and start creating.
Some opportunities only come once, seize them.
Life is short. Live your dream and share your passion.


Delia Doe
Project Portfolio
Delia Doe is a student majoring in Computer Science at UCSD.
Projects
Ocuhub
TBD
...


Cambrian Analytica is a speculative design project that aims to answer the question:
By using real personal data to generate zoomorphic incarnations of daily behavior, the project seeks to bring attention to the opportunities for self-reflection in a digital age. As our reliance on technology grows and decisions are increasingly automated we must begin to build feedback loops in pursuit of both understanding ourselves and how machines perceive us.