I had become very frustrated with the job application process and was unhappy with a mundane entry-level position found through a general staffing agency after graduating college. I reached out to Shaleen Title and she connected me with the position I’ve held for the last year working at the nation’s premiere marijuana law firm in Denver, CO. Without Shaleen’s efforts I would not be waking up every morning excited to go to work. This job has changed my life and Shaleen was responsible for making that happen! I can’t thank you enough!
Kat Humphries
Legal Assistant at Vicente Sederberg
Danielle Schumacher is a talented, capable and hard-working individual with deep roots in the cannabis community. She has been an activist, an employee and a manager for numerous groups over the years, and I have had the opportunity to work with her directly. She has a broad understanding of the issues and many links into the community based upon, among other things, her work with Oaksterdam University and the offices of physicians, attorneys and cannabis experts including myself. She is organized, efficient and a problem solver. It is my honor to recommend her services, and I have no doubt that those who take advantage of her offerings will be pleased with the services and results that they receive.
Chris Conrad
Court Qualified Cannabis Expert Witness / Consultant
Thanks to Shaleen’s recruiting efforts, we were able to bring in high-quality, diverse candidates who were a great fit for our firm.
Brian Vicente
Partner, Vicente Sederberg, LLC
When Shaleen recruited me to volunteer for the non-profit Law Enforcement Against Prohibition, it changed my life. That was about five years ago and now I am a full time staff member. Before then, I had bounced around from job to job, never really finding my passion but only paying the bills. My new career gave my life direction and purpose. For the first time I not only knew what I wanted to do with my life, but Shaleen had showed me how to make it happen. She opened my eyes to an entire professional world in drug policy reform that I had not even known existed before. But more than this, through her exceptional mentorship, she helped me navigate these new waters and guided me to the place I am today. I get to wake up every morning and work at a job in which I absolutely believe and love. I will be forever grateful to Shaleen for my new career and many of the friends whom I’ve met along the way.
Lindsay Akin
Assistant Speakers Bureau Director at Law Enforcement Against Prohibition
Shaleen helped get me started working in drug policy reform by offering me a job at LEAP not long after I was out of college. When I moved to Colorado in 2012, she recruited me to volunteer with the Amendment 64 campaign. Volunteering became a job, and I found myself working to regulate marijuana in Colorado. Through my work I had the chance to do some videos for the A64 campaign, which inspired me to pursue video work as a career. Shaleen even had a hand in the social media launch of my company. She and another activist had a viral video idea commenting on the 2012 Obama campaign commerical and asked if I'd help produce it. Some quick thinking, mixed with Shaleen's will and determination, and we created a video that conveyed a message and spread quickly. It was the first video we posted, and at 61,995 views, it is our most-viewed video to date.
Chris Wallis
Side Pocket Images
There are still so few women involved in the legalization movement, and even fewer women of color. Shaleen is an absolute inspiration and a necessary role model for other young female activists. She teaches us to never be afraid to speak our mind, and reminds us that this isn't a movement only "by and about" white men. And personally, without her advice, I would have never been able to "come out" to my pretty traditional Chinese family about a cause I am passionate about.
Rachelle Yeung
Marijuana Policy Project
As our contracted office manager for two and a half years, Danielle took our very disorganized office and created a system that worked for us. She has exceptional organizational skills and dedication to her clients, is highly intelligent and works with the big picture along with the minutiae. We knew things would be under control with Danielle around. Now, Danielle is our "go-to person" whenever we need some help with staffing our office or projects. Her wide range of experience enables her to know the many facets of the cannabis industry as well as the activist side of things.
Mikki Norris, M.A.
Director, Cannabis Consumers Campaign
As Denver’s longest continuously operating dispensary, we at Denver Relief hold very high standards for our employees. It’s not always an easy task finding people who understand cannabis, carry themselves in a professional manner and have the ability to adapt in this quickly evolving industry. We reached out to Shaleen and THC Staffing Group in hopes they could make that search a little easier for us. They located someone they believed was a good fit for our culture and needs and we hired Jonathan in less than a week. Not only has Jonathan met those high expectations after his hire, he has exceeded them and is already rising in the ranks. I know we’ll be going back to Shaleen and her team in the future, not only for our Denver business, but for those of our clients around the country.
Kayvan Khalatbari
Denver Relief
I had always dreamed about being a part of the cannabis industry, but wasn’t sure what opportunities were available. I submitted my resume to THC Staffing Group, and I couldn’t be happier with the results! With Danielle’s guidance I was able to find a position at an amazing organization that had a need for my exact skill set and was a great fit for my personality. Every day I am filled with a sense of purpose and passion for a career and an industry in which I wholeheartedly believe in. I am so grateful for Danielle and Shaleen for changing my life.
Lauren Watson
Director of Marketing, Berkeley Patients Group
Temescal Wellness sought an elite, seasoned sales professional who could rise to the challenge of serving wholesale clients in multiple regulatory environments, and work within a start-up environment. THC Staffing quickly came to understand Temescal's requirements, and sourced multiple qualified candidates. Supported by the THC Staffing team, Temescal identified, interviewed and hired a sales director with all the right experience and qualifications, and he's now hard at work and easily integrating with our team. Jason is a talented, earnest professional with a good heart and a pioneering spirit; as an employee and an individual, he reflects the ideals and goals for the cannabis industry that THC Staffing and Temescal share.
Julia Germaine
Co-Founder, COO of Temescal Wellness Massachusetts
Jimi Devine came aboard our award-winning podcast The Hash as a truly plugged-in and qualified sale representative. But his real passion has been writing, and since then I've seen him blossom at Cannabis Now, San Francisco Chronicle, and High Times. It's because of THC Staffing that I've made not only an excellent colleague, but a lifelong friend. Danielle and her team is world-class.
David Downs
Award-winning Journalist, Best-selling Author


--- layout: page title: Publications & Patents permalink: /pp.html ---
CauSeR: Causal Session-based Recommendations for Handling Popularity Bias
Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff - October, 2021
The 30th ACM International Conference on Information and Knowledge Management CIKM 2021
Paper
Poster
Effect of lockdown interventions to control the COVID-19 epidemic in India
Ankit Sharma, Shreyash Arya, Shashee Kumari, Arnab Chatterjee - September, 2020
User consideration at Nature Scientific Reports and listed in Harvard’s Astrophysics Data System (ADS) operated by Smithsonian Astrophysical Observatory under NASA Cooperative Agreement - Harvard ADS
Preprint
Hi-CI: Deep Causal Inference in High Dimensions
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff - June, 2020
The 2020 ACM SIGKDD Workshop on Causal Discovery, Proceedings of Machine Learning Research - KDD 2020, PMLR Volume 127
Paper
Slides
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff - January, 2020
The 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN 2020
Paper
Slides
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff - October, 2019
The 33rd Conference on Neural Information Processing Systems, Causal ML workshop - NeurIPS 2019
Paper
Poster
Supervised learning of protein thermal stability using sequence mining and distribution statistics of network centrality
Ankit Sharma, Ganesh Bagler, Debajyoti Bera - September, 2019
Preprint
SYSTEMS AND METHODS FOR RECOMMENDATION OF ITEMS AND CONTROLLING AN ASSOCIATED BIAS
Priyanka Gupta, Pankaj Malhotra, Ankit Sharma, Lovekesh Vig, Gautam Shroff - October, 2021
METHOD AND SYSTEM FOR CAUSAL INFERENCE IN PRESENCE OF HIGH-DIMENSIONAL COVARIATES AND HIGH-CARDINALITY TREATMENTS
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff - August, 2020
METHOD AND SYSTEM FOR MATCHED AND BALANCED CAUSAL INFERENCE FOR MULTIPLE TREATMENTS
Garima Gupta, Ankit Sharma, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff - April, 2020
METHOD AND SYSTEM FOR CAUSAL INFERENCE IN HETEROGENEOUS POPULATION USING META-LEARNING
Garima Gupta, Ankit Sharma, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff - December, 2019


Picking a coding language to begin with may seem like a daunting task. With so many options available it's difficult to denote where to begin. New languages are being tweaked, reinvented, and published frequently and it's important to be able to stay up-to-date in order to survive as a web developer. Being able to write in different languages is important, but what if you don't know where to start?
That's where this website comes in to play. With a simple assessment, You can easily get a pointer and recommendation in the direction that you'd like to take your first steps into a world of coding. Simply take the short test on the right, and we'll let you know what language we'd recommend as a jumping off point.


If you are not importing any element themes, and want to use the font properties, you need to import them manually.
To easily apply basic typographic styles for your app, include the following style module in the global scope. It will set the font family, font size and line height for the body element, as well as specify consistent header styles (it doesn’t override header margins).
If needed, you can include the style module in any other style scopes (i.e. shadow roots) as well.
The Roboto font is used by default. You can apply or change the font family using the --material-font-family
custom property.
The Roboto font is not imported by default, but only used if found from the users system. If you wish to use the Roboto font for all users, you need to import it manually. You can include the following snippet in your app to easily import it from Google Fonts:
The following font sizes are available to use. The default font size for most elements is --material-body-font-size
.


Table of Contents
Introduction: Deep Feedforward Neural Networks
-
(Deep) FeedForward Neural Networks:
For a classifier; given \(y=f^{\ast}(\boldsymbol{x})\), maps an input \(\boldsymbol{x}\) to a category \(y\).
An FNN defines a mapping \(\boldsymbol{y}=f(\boldsymbol{x} ; \boldsymbol{\theta})\) and learns the value of the parameters \(\boldsymbol{\theta}\) that result in the best function approximation.- FNNs are called networks because they are typically represented by composing together many different functions
- The model is associated with a DAG describing how the functions are composed together.
- Functions connected in a chain structure are the most commonly used structure of neural networks.
E.g. we might have three functions \(f^{(1)}, f^{(2)},\) and \(f^{(3)}\) connected in a chain, to form \(f(\boldsymbol{x})=f^{(3)}\left(f^{(2)}\left(f^{(1)}(\boldsymbol{x})\right)\right)\); being called the \(n\)-th Layer respectively.
- The overall length of the chain is the depth of the model.
- During training, we drive \(f(\boldsymbol{x})\) to match \(f^{\ast}(\boldsymbol{x})\).
The training data provides us with noisy, approximate examples of \(f^{\ast}(\boldsymbol{x})\) evaluated at different training points.
- FNNs from Linear Models:
Consider linear models biggest limitation: model capacity is limited to linear functions.
To extend linear models to represent non-linear functions of \(\boldsymbol{x}\) we can:- Apply the linear model not to \(\boldsymbol{x}\) itself but to a transformed input \(\phi(\boldsymbol{x})\), where \(\phi\) is a nonlinear transformation.
- Equivalently, apply the kernel trick to obtain nonlinear learning algorithm based on implicitly applying the \(\phi\) mapping.
We can think of \(\phi\) as providing a set of features describing \(\boldsymbol{x}\), or as providing a new representation for \(\boldsymbol{x}\).
Choosing the mapping \(\phi\):- Use a very generic \(\phi\), s.a. infinite-dimensional (RBF) kernel.
If \(\phi(\boldsymbol{x})\) is of high enough dimension, we can always have enough capacity to fit the training set, but generalization to the test set often remains poor.
Very generic feature mappings are usually based only on the principle of local smoothness and do not encode enough prior information to solve advanced problems. - Manually Engineer \(\phi\).
Requires decades of human effort and the results are usually poor and non-scalable. - The strategy of deep learning is to learn \(\phi\).
- We have a model:
$$y=f(\boldsymbol{x} ; \boldsymbol{\theta}, \boldsymbol{w})=\phi(\boldsymbol{x} ; \boldsymbol{\theta})^{\top} \boldsymbol{w}$$
We now have parameters \(\theta\) that we use to learn \(\phi\) from a broad class of functions, and parameters \(\boldsymbol{w}\) that map from \(\phi(\boldsymbol{x})\) to the desired output.
This is an example of a deep FNN, with \(\phi\) defining a hidden layer. - This approach is the only one of the three that gives up on the convexity of the training problem, but the benefits outweigh the harms.
- In this approach, we parametrize the representation as \(\phi(\boldsymbol{x}; \theta)\) and use the optimization algorithm to find the \(\theta\) that corresponds to a good representation.
- Advantages:
- Capturing the benefit of the first approach:
by being highly generic — we do so by using a very broad family \(\phi(\boldsymbol{x};\theta)\). - Capturing the benefit of the second approach:
Human practitioners can encode their knowledge to help generalization by designing families \(\phi(\boldsymbol{x}; \theta)\) that they expect will perform well.
The advantage is that the human designer only needs to find the right general function family rather than finding precisely the right function.
- Capturing the benefit of the first approach:
- We have a model:
Thus, we can motivate Deep NNs as a way to do automatic, non-linear feature extraction from the inputs.
This general principle of improving models by learning features extends beyond the feedforward networks to all models in deep learning.
FFNs are the application of this principle to learning deterministic mappings from \(\boldsymbol{x}\) to \(\boldsymbol{y}\) that lack feedback connections.
Other models, apply these principles to learning stochastic mappings, functions with feedback, and probability distributions over a single vector.Advantage and Comparison of Deep NNs:
- Linear classifier:
- Negative: Limited representational power
- Positive: Simple
- Shallow Neural network (Exactly one hidden layer):
- Positive: Unlimited representational power
- Negative: Sometimes prohibitively wide
- Deep Neural network:
- Positive: Unlimited representational power
- Positive: Relatively small number of hidden units needed
- Interpretation of Neural Networks:
It is best to think of feedforward networks as function approximation machines that are designed to achieve statistical generalization, occasionally drawing some insights from what we know about the brain, rather than as models of brain function.
Gradient-Based Learning
-
Stochastic Gradient Descent and FNNs:
Stochastic Gradient Descent applied to nonconvex loss functions has no convergence guarantees and is sensitive to the values of the initial parameters.Thus, for FNNs (since they have nonconvex loss functions):
- Initialize all weights to small random values.
- The biases may be initialized to zero or to small positive values.
-
Learning Conditional Distributions with Maximum Likelihood:
\[J(\boldsymbol{\theta})=-\mathbb{E}_{\mathbf{x}, \mathbf{y} \sim \hat{p}_{\text {data }}} \log p_{\text {model }}(\boldsymbol{y} | \boldsymbol{x}) \tag{6.12}\]
When Training using Maximum Likelihood:
The cost function is, simply, the negative log-likelihood.
Equivalently, the cross-entropy between the training data and the model distribution.- The specific form of the cost function changes from model to model, depending on the specific form of \(\log p_{\text {model}}\).
- The expansion of the above equation typically yields some terms that do not depend on the model parameters and may be discarded.
Maximum Likelihood and MSE:
The equivalence between maximum likelihood estimation with an output distribution and minimization of mean squared error holds not just for a linear model, but in fact, the equivalence holds regardless of the \(f(\boldsymbol{x} ; \boldsymbol{\theta})\) used to predict the mean of the Gaussian.
If $$p_{\text {model }}(\boldsymbol{y} | \boldsymbol{x})=\mathcal{N}(\boldsymbol{y} ; f(\boldsymbol{x} ; \boldsymbol{\theta}), \boldsymbol{I})$$ , then we recover the mean squared error cost,
$$J(\theta)=\frac{1}{2} \mathbb{E}_{\mathbf{x}, \mathbf{y} \sim \hat{p}_{\text {data }}}\|\boldsymbol{y}-f(\boldsymbol{x} ; \boldsymbol{\theta})\|^{2}+\mathrm{const} \tag{6.13}$$
up to a scaling factor of $$1/2$$ and a term that does not depend on $$\theta$$. The discarded constant is based on the variance of the Gaussian distribution, which in this case we chose not to parametrize.
Why derive the cost function from Maximum Likelihood?
It removes the burden of designing cost functions for each model.
Specifying a model \(p(\boldsymbol{y} | \boldsymbol{x})\) automatically determines a cost function \(\log p(\boldsymbol{y} | \boldsymbol{x})\).Cost Function Design - Desirable Properties:
- The gradient of the cost function must be large and predictable enough to serve as a good guide.
Functions that saturate (become very flat) undermine this objective because they make the gradient become very small. In many cases this happens because the activation functions used to produce the output of the hidden units or the output units saturate.
The negative log-likelihood helps to avoid this problem for many models. Several output units involve an exp function that can saturate when its argument is very negative. The log function in the negative log-likelihood cost function undoes the exp of some output units.
- Learning Conditional Statistics:
Instead of learning a full probability distribution \(p(\boldsymbol{y} | \boldsymbol{x} ; \boldsymbol{\theta})\), we often want to learn just one conditional statistic of \(\boldsymbol{y}\) given \(\boldsymbol{x}\).For example, we may have a predictor \(f(\boldsymbol{x} ; \boldsymbol{\theta})\) that we wish to employ to predict the mean of \(\boldsymbol{y}\).
The Cost Function as a Functional:
If we use a sufficiently powerful neural network, we can think of the neural network as being able to represent any function \(f\) from a wide class of functions, with this class being limited only by features such as continuity and boundedness rather than by having a specific parametric form. From this point of view, we can view the cost function as being a functional rather than just a function.
A Functional is a mapping from functions to real numbers.
We can thus think of learning as choosing a function rather than merely choosing a set of parameters.
We can design our cost functional to have its minimum occur at some specific function we desire.For example, we can design the cost functional to have its minimum lie on the function that maps \(\boldsymbol{x}\) to the expected value of \(\boldsymbol{y}\) given \(\boldsymbol{x}\).
Solving an optimization problem with respect to a function requires a mathematical tool called calculus of variations, described in section 19.4.2.
- Important Results in Optimization:
The calculus of variations can be used to derive the following two important results in Optimization:- Solving the optimization problem
$${\displaystyle f^{\ast}=\underset{f}{\arg \min } \: \mathbb{E}_{\mathbf{x}, \mathbf{y} \sim p_{\text {data }}}\|\boldsymbol{y}-f(\boldsymbol{x})\|^{2}} \tag{6.14}$$
yields
$${\displaystyle f^{\ast}(\boldsymbol{x})=\mathbb{E}_{\mathbf{y} \sim p_{\text {data }}(\boldsymbol{y} | \boldsymbol{x})}[\boldsymbol{y}] \tag{6.15}}$$
so long as this function lies within the class we optimize over.
In words: if we could train on infinitely many samples from the true data distribution, minimizing the MSE cost function would give a function that predicts the mean of \(\boldsymbol{y}\) for each value of \(\boldsymbol{x}\).Different cost functions give different statistics.
- Solving the optimization problem (commonly known as Mean Absolute Error)
$$f^{\ast}=\underset{f}{\arg \min } \: \underset{\mathbf{x}, \mathbf{y} \sim p_{\mathrm{data}}}{\mathbb{E}}\|\boldsymbol{y}-f(\boldsymbol{x})\|_ {1} \tag{6.16}$$
yields a function that predicts the median value of \(\boldsymbol{y}\) for each \(\boldsymbol{x}\), as long as such a function may be described by the family of functions we optimize over.
Drawbacks of MSE and MAE (mean absolute error):
They often lead to poor results when used with gradient-based optimization.
Some output units that saturate produce very small gradients when combined with these cost functions.
This is one reason that the cross-entropy cost function is more popular than MSE or MAE, even when it is not necessary to estimate an entire distribution \(p(\boldsymbol{y} | \boldsymbol{x})\). - Solving the optimization problem
Output Units
-
Introduction:
The choice of cost function is tightly coupled with the choice of output unit. Most of the time, we simply use the cross-entropy between the data distribution and the model distribution.
Thus, the choice of how to represent the output then determines the form of the cross-entropy function.Throughout this analysis, we suppose that:
The FNN provides a set of hidden features defined by \(\boldsymbol{h}=f(\boldsymbol{x} ; \boldsymbol{\theta})\).
The role of the output layer, thus, is to provide some additional transformation from the features to complete the task the FNN is tasked with. -
Linear Units:
Linear Units are a simple kind of output units, based on an affine transformation with no non-linearity.
Mathematically, given features \(\boldsymbol{h}\), a layer of linear output units produces a vector \(\hat{\boldsymbol{y}}=\boldsymbol{W}^{\top} \boldsymbol{h}+\boldsymbol{b}\).Application: used for Gaussian Output Distributions.
Linear output layers are often used to produce the mean of a conditional Gaussian Distributions:$$p(\boldsymbol{y} | \boldsymbol{x})=\mathcal{N}(\boldsymbol{y} ; \hat{\boldsymbol{y}}, \boldsymbol{I}) \tag{6.17}$$
In this case, maximizing the log-likelihood is equivalent to minimizing the MSE.
Learning the Covariance of the Gaussian:
The MLE framework makes it straightforward to:
- Learn the covariance of the Gaussian too
- Make the covariance of the Gaussian be a function of the input
However, the covariance must be constrained to be a positive definite matrix for all inputs.It is difficult to satisfy such constraints with a linear output layer, so typically other output units are used to parametrize the covariance.
Approaches to modeling the covariance are described shortly, in section <IP_ADDRESS>.
Saturation:
Because linear units do not saturate, they pose little difficulty for gradient- based optimization algorithms and may be used with a wide variety of optimization algorithms. -
Sigmoid Units:
Sigmoid UnitsBinary Classification: is a classification problem over two classes. It requires predicting the value of a binary variable \(y\). It is one of many tasks requiring that.
The MLE approach is to define a Bernoulli distribution over \(y\) conditioned on \(\boldsymbol{x}\).
A Bernoulli distribution is defined by just a single number.
The Neural Network needs to predict only \(P(y=1 \vert \boldsymbol{x})\).


Salmon Cookie Cutter- $3.75
Premade Decorative Salmon Cookies- $21.00/dozen
Unisex Salmon Shirt- $12.00
Chinook Salmon sticker- $1.50


| Coupon |
* Sponsored Results
BVRP Connection Manager - Download
May 10, 2005 . BVRP Connection Manager 1.0: BVRP Connection Manager Pro automatic . between LAN or wireless networks with VPN connection support.
http://bvrp-connection-manager.en.softonic.com/
dial n sew sewing machine aarp medicare supplemental drug plan
BVRP Connection Manager Pro Download - SoftSea
BVRP Connection Manager Pro Download, Laptop Magazine Editors Choice * must have* program for . Wireless Communication Software Related Downloads : .
http://www.softsea.com/review/BVRP-Connection-Manager-Pro.html
400 Elm Ave
Yukon,
OK 73099
whats wrong with the picture
Family Night Dinner Group Studies Ministries for all ages
history of mass media in america hand jobs free video st augustine's view about man
900 S Littler Ave
Edmond,
OK 73034
mm interface with fi
Connection Manager Software Informer: BVRP Connection Manager ...
Latest updates on everything Connection Manager Software related. . is an easy -to-use PC application that provides you with access to Wireless Data .
http://connection-manager1.software.informer.com/
beowul mutiple choice test how to establish brand architecture trust corporation of america stefan
500 S Country Club Rd
BVRP Connection Manager Pro review | Expert Reviews
Jun 26, 2006 . BVRP's Connection Manager Pro aims to help. Windows' Wireless Zero Configuration wizard can remember your wireless network connections .
http://www.expertreviews.co.uk/networking/88996/bvrp-connection-manager-pro
BVRP Connection Manager Pro 1.0 review and download
Sep 18, 2011 . BVRP Connection Manager Pro automatic network connection software . between LAN or wireless networks; VPN connection support.
http://rbytes.net/software/bvrp-connection-manager-pro-review/
aarp medicare supplemental drug plan seashell address book sets brett robinson rentals gulf shores ala
Basic Listings
226 S 29th St
Download Connection Manager Lite Freeware - BVRP Connection ...
BVRP Connection Manager LITE automatically detects available networks and . Connection Manager LITE is the ideal utility for wireless networking for road .
http://www.download32.com/connection-manager-lite-i23166.html
sharam jay-be the change husky 51111 floor liner changing cultural status2 of tattoo art
1202 W Grand Ave
BVRP Software Informer: Latest BVRP software updates and ...
BVRP Connection Manager Pro automatically detects available networks and . between multiple networks - either LAN or wireless - for mobile professionals.
http://bvrp-software.software.informer.com/
state of kentucky minority business enterprises do fossil watchs need batteries cyfluthrin for black vine weevil
116 E Georgia Ave
Connection Manager Lite 1.03 - Forte Downloads
Jun 27, 2007 . Download BVRP Connection Manager LITE automatic network connection . Allows laptop users seamless migration between LAN or wireless .
http://www.fortedownloads.com/Avanquest-BVRP-Software-Connection-Manager-Lite/
stanfords home center plum pa state of kentucky minority business enterprises mazda 626 transmission repair guide
301 S 2nd St
Download Connection Manager Lite 1.03 Free - BVRP Connection ...
Oct 8, 2005 . Download Connection Manager Lite - BVRP Connection Manager LITE . Allows laptop users seamless migration between LAN or wireless .
http://www.softpedia.com/get/Network-Tools/Network-Monitoring/Connection-Manager-Lite.shtml
apprendre l'anglais a malte how tall is lil kim rosario under the same moon
1910 S 20th St
Connection Manager Lite 1.03 Free Download. BVRP Connection ...
BVRP Connection Manager LITE automatic network connection software. . Allows laptop users seamless migration between LAN or wireless network support.
http://connection-manager-lite.lastdownload.com/
making patterns in photoshop cs4 fix a bad credit report texas steerable 2008 jelsoft enterprises ltd
728 W Michigan Ave
Avanquest Connection Manager - Free - CNET Download.com
Jul 30, 2008 . Connect quickly and easily to public WiFi hotspots in coffee shops or airports, . I was looking for a simple wireless manager, this software is .
http://download.cnet.com/Avanquest-Connection-Manager-Free/3000-2648_4-10416173.html
kitchenaid stand mixer artisan attachment stuck nelson winslow filter element new pokemon series for new pokemon
3340 S 16th St
download wireless network connection manager free
Connect to fixed and wireless networks with ease. ...using the network connection . BVRP Connection Manager Pro automatic network connection software.
http://en.softonic.com/s/download-wireless-network-connection-manager
insignia lcd 37 inch problems using kernel debugger in windows xp gibbstown schools new jersey
828 S 9th St
Amazon.com: BVRP Connection Manager: Software
Buy BVRP Connection Manager for only at Amazon.com! . Connects you via wireless networks, WiFi, Ethernet, LAN, GPRS, UMTS, Bluetooth or even a mobile .
http://www.amazon.com/BVRP-Connection-Manager/dp/B000CBLBR8
hp rp7410 service manual bravero princess resort dominican republic temporary internet files location xp
1300 S 29th St
BVRP Connection Manager Pro - BrotherSoft
Jan 8, 2008 . Free BVRP Connection Manager Pro Download, BVRP Connection . between LAN or wireless networks with VPN connection support.
http://www.brothersoft.com/bvrp-connection-manager-pro-38844.html
stadard yugioh dec cards lyrics gilbert sullivan penafore bear wrought iron decor
102 E Almar Dr
Connection Manager Lite - BVRP Connection Manager LITE ...
BVRP Connection Manager LITE automatically detects available networks . Allows seamless migration between multiple networks - either LAN or wireless - for .
http://www.sharewareconnection.com/connection-manager-lite.htm
toyoota and rental costa rica executive campus cherry hill nj cheesecake factory baltimore md
320 S 4th St
Connection at Wireless Software Informer
Download Wireless Connection at Wireless Informer: Dell Wireless WLAN Card, WiFi Hopper, BVRP Connection Manager Pro.
http://wireless2.software.informer.com/download-wireless-connection/
heartland oakland troy michigan changing cultural status2 of tattoo art case farming equipment 8900
901 W Grand Ave
Download BVRP Connection Manager
BVRP Connection Manager free download, 100% safe and virus free download from Softonic. BVRP Connection Manager free download, download BVRP Connection Manager 1.0 for free. . laptop as a wifi modem software free download .
http://bvrp-connection-manager.en.softonic.com/download
upcoming singing competitions in central pennsylvania how do endowments work 2009 using kernel debugger in windows xp
2414 State Highway 92
free download BVRP Connection Manager Pro 1.03 (network ...
[6947] BVRP Connection Manager Pro automatically detects available networks . migration between LAN or wireless networks with VPN connection support.
http://www.itshareware.com/prodview-code_6947--download-bvrp-connection-manager-pro.htm
124 S 6th St
Blackberry wifi connection manager download at PTF
Blackberry wifi connection manager download freeware and shareware. . BVRP Connection Manager Pro automatic network connection software. Publisher: .
http://ptf.com/blackberry/blackberry+wifi+connection+manager+download/
friends of quetico foundation non exempt marital trust funding
3320 S 16th St
Download Wifi Mtkbtdevice Phone Software: Android Manager WiFi ...
Free wifi mtkbtdevice phone downloads - Collection of wifi mtkbtdevice . BVRP Connection Manager Pro Download Download BVRP Connection Manager Pro .
http://www.filebuzz.com/findsoftware/Wifi_Mtkbtdevice_Phone/1.html
paint natural steel restoration education theory and practice exercises for shoulder subluxation
802 Frisco Ave
free wifi connection manager download
BVRP Connection Manager Pro 1.0 · free BVRP <b>Connection</b> <b> Manager</ . Easy WiFi Radar helps you to find and connect to open wireless access .
http://3d2f.com/tags/wifi/connection/manager/
roper corporation la fayette ga study exams for police test marek ztracen ztr c s se
609 W Highway 277
Bvrp Netwaiting Software Downloads
BVRP Connection Manager Pro automatically detects available networks and . between multiple networks - either LAN or wireless - for mobile professionals.
http://www.download32.com/bvrp-netwaiting-software.html
lansing ks pizza hut systems in science activities world of warcraft class guide
2828 S 9th St
Connection Manager Lite 1.03 - FileGuru
Connection Manager LITE is the ideal utility for wireless networking for road . Manager Lite 1.03 Dial up Tools software developed by Avanquest (BVRP) .
http://www.fileguru.com/Connection-Manager-Lite/info
quality assurance power point louise wright sublette ks purchase used wood stove
202 S 6th St
BVRP Connection Manager Pro v1.10 - FREE Download BVRP ...
Search BVRP Connection Manager Pro v1.10 on Soft82 for free download. . migration between LAN or wireless networks with VPN connection support.
http://www.soft82.com/free/bvrp-connection-manager-pro-v1-10/
jewelery appraisal greeneville tn russian music video download
428 E Almar Dr
Irda-wireless connection z-tek - Podnova Windows Library
Selection of software according to "Irda-wireless connection z-tek" topic. . BVRP Connection Manager Pro automatically detects available networks and .
http://windows.podnova.com/trends/irda-wireless_connection_z-tek.html
greenville auto injury attorney west side church traverse city making patterns in photoshop cs4
Connection Manager Pro download 7.11MB - BVRP Connection ...
Connection Manager Pro easily manages your access points across every commercially available network deployed today: WiFi, cell phone (GSM --GPRS, .
http://www.dodownload.com/real-time-communication/dial/connection-manager-pro.html
Download Acer 3g Connection Manager Software: IQonn Lite ...
BVRP Connection Manager Pro Download Download BVRP Connection Manager Pro . WiFi Hopper is a WLAN utility that combines the features of a Network .
http://www.filebuzz.com/findsoftware/Acer_3g_Connection_Manager/1.html
BVRP Connection Manager Pro , BySoft InternetPal - Dial Up ...
BVRP Connection Manager Pro , BySoft InternetPal - Dial Up .
http://www.idealshareware.com/communications/dial_up_connection_tools/index.html
* Sponsored Results
| Select from the listings below | (easel business card holder) | |
|
sweet child o mine daycare 226 S 29th St free wireless connection manager utility wpa2 download |
||
|
rainbows and a unicorn 1202 W Grand Ave Download Connection Manager Lite 1.03 Free - BVRP Connection ... |
||
|
dial n sew sewing machine 116 E Georgia Ave Connection Manager Irda at Nokia Software Informer |
||
|
vrem sa vedem operati 301 S 2nd St Free Connection Manager Lite Downloads |
||
|
do fossil watchs need batteries 1910 S 20th St Download Gprs Connection Manager Software: IQonn Lite - FileBuzz |
||
|
vrem sa vedem operati 728 W Michigan Ave Telstra wireless 3g connection manager qualcomm at PTF |
||
|
crowne plaza hotel worchester ma 3340 S 16th St Connection Manager Automatic at Nokia Software Informer |
||
|
brand name jeans for teens 828 S 9th St Download Lg X110 Wireless Manager Software: Sony Ericsson ... |
||
|
santa elena spain property 1300 S 29th St Download Hp Compaq Connection Manager Software: IQonn Lite ... |
||
|
cooling curve of stearic acid 102 E Almar Dr BVRP Connection Manager Pro 1.06 - Download3000.com |
||
|
cemeteries of marsh head md 320 S 4th St Connection Manager Keep Alive at DSL Software Informer |
||
|
united states flag official website 901 W Grand Ave Network Connection Manager at Notebook Software Informer |
||
|
museum of church history and art 2414 State Highway 92 BVRP Connection Manager Pro 1.06 Download |
||
|
inkjet printer cleaning pads 124 S 6th St Huawei connection manager Free Download - Soft32download.com |
||
|
where can i buy cheap saddle 3320 S 16th St Wireless Connection Soft: WeFi For WinXP, WeFi, Wireless ... |
||
|
technique of teaching of russian 802 Frisco Ave Download Samsung Connection Manager Nc10 Software: IQonn ... |
||
|
las vegas cigar stores 609 W Highway 277 Download Acer 3g Connection Manager Software: IQonn Lite ... |
||
|
nelson winslow filter element 2828 S 9th St Wireless Connection at Optimize Software Informer |
||
|
catherine freer powered by phpbb 202 S 6th St BVRP Connection Manager Pro 1.0 download - BVRP Software |
||
|
what a sports chairman do 428 E Almar Dr Bvrp Connection Manager Pro Free Download |
||
| Select from the listings above | (fbu business unit of client) | |


There may be times when you leave feedback on somebody's pull request but they're too busy to implement it, or perhaps you think it's just faster to do it yourself. Sending a pull request to that person's fork could help in such situations, and here's how to do it.
First, make a copy of their branch locally:
git remote add [temp-name] https://github.com/[their-username]/[repository-name]
git fetch [temp-name]
git checkout [temp-name]/master
(or whatever branch they're using)
git checkout -b [my-branch]
Then make your changes, and commit and push as normal:
git commit -am "[your message]"
git push origin [my-branch]
Now go to the user's forked repo on GitHub to send this branch as a pull request to their branch (note that it may not be master
) — all they have to do is click the merge button and that's it! Big thanks to GuiltyDolphin for teaching me how to do this magic (ʘ‿ʘ)


Find out why so many travelers always come back.
Untouched natural beauty makes this place unique.
Leave society behind and indulge yourself in tranquility.
Discover great activities with breathtaking views.


Home
Login
Sign Up
Name
Age
sex
Aravind
20
Male
Andrews
20
Male
Habeebullah
20
Male
Dinesh
20
Male
Departments
EEE
Mech
EIE
ECE
CSE
IT
Sections
A
B
C


- ObservableClient - Class in ocsf.client
-
This class acts as a subclass of AbstractClient
and is also an Observable
class.
- ObservableClient(String, int) - Constructor for class ocsf.client.ObservableClient
-
- observableList - Static variable in class gui.ClientIpSetController
-
- ObservableOriginatorServer - Class in ocsf.server
-
The ObservableOriginatorServer
is a subclass
of ObservableServer
that sends
OriginatorMessage
instances to its observers.
- ObservableOriginatorServer(int) - Constructor for class ocsf.server.ObservableOriginatorServer
-
Constructs a new server.
- ObservableServer - Class in ocsf.server
-
This class acts as a subclass of AbstractServer
and is also an Observable
class.
- ObservableServer(int) - Constructor for class ocsf.server.ObservableServer
-
Constructs a new server.
- ocsf.client - package ocsf.client
-
- ocsf.server - package ocsf.server
-
- onAdd(ActionEvent) - Method in class gui.UpdateComplainsController
-
- onAddGrettingCard(ActionEvent) - Method in class gui.BuyProductFromCatlogContoller
-
- onbtnAdd(ActionEvent) - Method in class gui.UpdateDealsController
-
- onBtnAddClicked(ActionEvent) - Method in class gui.SatisfactionSurvey
-
- onBtnAddClicked(ActionEvent) - Method in class gui.SurveyResultsController
-
- onBtnAddClicked(ActionEvent) - Method in class gui.UpdateCatalogController
-
- onbtnBuy(ActionEvent) - Method in class gui.CustomMadeController
-
- onBtnClicked(ActionEvent) - Method in class gui.AuthorizeUsersController
-
- onBtnClicked(ActionEvent) - Method in class gui.SurveyExpertController
-
- onBtnSearchClick(ActionEvent) - Method in class gui.UpdateUsersController
-
- onBuy(ActionEvent) - Method in class gui.BuyProductFromCatlogContoller
-
- onCancel(MouseEvent) - Method in class gui.OrderHistoryController
-
- onGetRefund(ActionEvent) - Method in class gui.OrderHistoryController
-
- onLoginButtonClick(ActionEvent) - Method in class gui.LoginController
-
- onLogout(MouseEvent) - Method in class gui.MainMenuCustomer
-
- onLogout(MouseEvent) - Method in class gui.MainMenuEmployeeController
-
- onLogout(MouseEvent) - Method in class gui.MainMenuNetworkManager
-
- onLogout(MouseEvent) - Method in class gui.MainMenuReports
-
- onLogout(MouseEvent) - Method in class gui.MainMenuService
-
- onLogout(MouseEvent) - Method in class gui.MainMenuShopManager
-
- onMenuClick(MouseEvent) - Method in class gui.AuthorizeUsersController
-
- onMenuClick(MouseEvent) - Method in class gui.BuyProductFromCatlogContoller
-
- onMenuClick(MouseEvent) - Method in class gui.CartController
-
- onMenuClick(MouseEvent) - Method in class gui.CatalogController
-
- onMenuClick(MouseEvent) - Method in class gui.CustomMadeController
-
- onMenuClick(MouseEvent) - Method in class gui.OrderHistoryController
-
- onMenuClick(MouseEvent) - Method in class gui.ReportComplains2Controller
-
- onMenuClick(MouseEvent) - Method in class gui.ReportComplainsController
-
- onMenuClick(MouseEvent) - Method in class gui.ReportOrders2Controller
-
- onMenuClick(MouseEvent) - Method in class gui.ReportOrdersController
-
- onMenuClick(MouseEvent) - Method in class gui.ReportRevenue2Controller
-
- onMenuClick(MouseEvent) - Method in class gui.ReportRevenueController
-
- onMenuClick(MouseEvent) - Method in class gui.ReportSatisfaction2Controller
-
- onMenuClick(MouseEvent) - Method in class gui.ReportSatisfactionController
-
- onMenuClick(MouseEvent) - Method in class gui.SatisfactionSurvey
-
- onMenuClick(MouseEvent) - Method in class gui.SurveyExpertController
-
- onMenuClick(MouseEvent) - Method in class gui.SurveyResultsController
-
- onMenuClick(MouseEvent) - Method in class gui.UpdateCatalogController
-
- onMenuClick(MouseEvent) - Method in class gui.UpdateComplainsController
-
- onMenuClick(MouseEvent) - Method in class gui.UpdateDealsController
-
- onMenuClick(MouseEvent) - Method in class gui.UpdateMyDataController
-
- onMenuClick(MouseEvent) - Method in class gui.UpdateUsersController
-
- onNumberOfItems(MouseEvent) - Method in class gui.CatalogController
-
- onNumberOfItems(MouseEvent) - Method in class gui.MainMenuCustomer
-
- onOrder(ActionEvent) - Method in class gui.CartController
-
- onPay(ActionEvent) - Method in class gui.UpdateComplainsController
-
- onpayMethod(ActionEvent) - Method in class gui.BuyProductFromCatlogContoller
-
- onPicSelection(ActionEvent) - Method in class gui.BuyProductFromCatlogContoller
-
- onSelectImg(ActionEvent) - Method in class gui.UpdateCatalogController
-
- onServerStart(ActionEvent) - Method in class gui.DatabaseLoginController
-
- onupdateAdress(ActionEvent) - Method in class gui.UpdateMyDataController
-
- onupdateGeneral(ActionEvent) - Method in class gui.UpdateMyDataController
-
- onupdatePayment(ActionEvent) - Method in class gui.UpdateMyDataController
-
- openConnection() - Method in class ocsf.client.AbstractClient
-
Opens the connection with the server.
- openConnection() - Method in class ocsf.client.ObservableClient
-
Opens the connections with the server.
- order(Connection, ConnectionToClient, Order) - Static method in class database.orderCatalogDatabase
-
- Order - Class in entity
-
- Order() - Constructor for class entity.Order
-
- orderCatalogDatabase - Class in database
-
- orderCatalogDatabase() - Constructor for class database.orderCatalogDatabase
-
- orderHistory(MouseEvent) - Method in class gui.MainMenuCustomer
-
- OrderHistoryController - Class in gui
-
- OrderHistoryController() - Constructor for class gui.OrderHistoryController
-
- orders(MouseEvent) - Method in class gui.MainMenuNetworkManager
-
- orders(MouseEvent) - Method in class gui.MainMenuReports
-
- OriginatorMessage - Class in ocsf.server
-
A message class used by the Observable layer of the OCSF in order to conserve
information about the originator of a message.
- OriginatorMessage(ConnectionToClient, Object) - Constructor for class ocsf.server.OriginatorMessage
-
Constructs an instance of an OriginatorMessage


ADICIONAR
ADICIONAR
ADICIONAR
ADICIONAR
ADICIONAR
ADICIONAR
Mais Lanches...
X
Contrary to popular belief, Lorem Ipsum is not simply random text.  Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum passage, and going through the cites of the word in classical literature, discovered the undoubtable source.
ADICIONAR


The project is a fork of VisualSearch.js, which enhances ordinary search boxes with the ability to autocomplete faceted search queries. In this fork, VisualSearch has been rewritten to become lighter with support for dynamic operators, HTML5 input types(numbers and dates), and JSON output for flexible data interchange.
VisualSearch.js is an open-source component of DocumentCloud.
JSON Data:


11/11 Instagram Captions For The Luckiest Day Of The Year
It might not be an officially recognized holiday, but it probably feels like one for many people. Monday is 11/11, which has been called the luckiest day of the year because of its significance in numerology and astrology. And when you think about the fact that this year's special day falls on a full moon, you're probably going to want to mull over some 11/11 Instagram captions to perfectly fit the occasion.
As a child, 11:11 might have signified a really magical time, similar to finding a stray eyelash or throwing a coin into a fountain. Or it could've meant an opportunity to scream "11:11!" at the top of your lungs, regardless of whether you were with friends or alone in your room. For adults, 11/11 can be viewed as an opportunity to refocus on your true goals, and to take the time to focus on manifesting the life you really want for yourself. And for others, it could just mean that it's a great time to throw up a post on social media about reaching out to a crush of yours.
No matter how you view 11/11, it's a great opportunity to check in with yourself, and to connect with others. Here are some great Instagram caption ideas for your 11/11 needs:


kobalt-music-group
Businessmodel of Kobalt Music Group
Customer Segments
Kobalt provides services to musicians, composers, songwriters and music publishers across the world. In 2015 the Company was reported to be the leading independent music publisher in the UK and the second largest in the US, trailing only to music giant Sony. Its catalogue is reported to comprise approximately 600,000 songs from around 8,000 artists. This includes relatively unknown musicians and composers, as well as high-profile artists such as Busta Rhymes, Bon Iver, Dave Grohl, Lionel Richie, Paul McCartney and Richard Ashcroft.
Value Propositions
Kobalt’s greatest value to musicians and artists is that it has simplified the process of tracking and collecting royalty payments. A process that traditionally could take months can now be completed in a matter of minutes. Through the Company’s online portal, artists can track all of their track royalties from a range of sources, including streaming services like Spotify and traditional sources such as radio plays, and can view where and when their music has been played. This platform is all available from one platform, accessible from anywhere using the Company’s website or mobile app.
In addition to being a simpler and more efficient method of tracking and collecting royalties, the Company also claims that using its technology artists can generate 20% to 30% more revenue. The Company additionally allows artists to retain a greater proportion of royalties as it takes a smaller commission.
Channels
The Kobalt online portal is accessible via the Company’s mobile and desktop websites at www.kobaltmusic.com. It can also be accessed through the Company’s mobile app, which is currently only available on the iOS operating system. Kobalt’s individual business divisions can also be contacted directly via email.
Customer Relationships
Artists can make enquiries, submissions and licensing requests by contacting Kobalt representatives directly via email. Artists can also register to use the Company’s online portal by contacting the Company directly, as the process requires discussion and interaction with the Company’s music licensing and collection professionals.
Once set up, the Kobalt platform can be accessed by users from through the Kobalt homepage or through the mobile app, with users able to track royalties and accept payments without interaction with members of the Kobalt team.
Artists registered with Kobalt are provided ongoing personal assistance and can follow developments at the the Company through its blog and press releases, as well as through its Facebook, Twitter, Instagram, Spotify, YouTube, Pinterest, LinkedIn and Google+ accounts.
Key Activities
Kobalt provides music publishing services, label services, and neighbouring rights services to musicians and publishers. The Company’s Music Publishing Division, its principal business segment, provides online copyright administration, royalty tracking services, and digital royalty collections.
It collects information from various sources, including directly from societies, from streaming services like iTunes, Spotify, Pandora, and YouTube, as well as from the majority of major global distributors.
The company’s label services comprise reporting, global administration, distribution, manufacturing, worldwide marketing, and YouTube maximization services, agreed with artists under flexible contracts, while Kobalt’s Neighbouring Rights Division provides gap analysis of society databases and song fingerprinting services.
Key Partners
Kobalt partners with a range of companies operating within the music industry, primarily royalty collection agencies, licensing agencies and music publishers. As part of its Label Services activities it also partners with physical distribution companies. The Company has partnered with a number of collection agencies in order to comprehensively generate royalty revenue for its customers, including AMCOS and APRA in Australia, SOCAN in Canada, PRS in the UK and ASCAP and BMI in the US.
Kobalt has also agreed a range of administration partnerships with music publishers, including IM Global Music, Little Fireball Music and Adam Anders Music (owned by couple Adam and Nikki Anders), Blue Raincoat Songs and Cherrytree Records, which launched Cherrytree Music Publishing with Kobalt in 2015.
Additionally, Kobalt has agreed partnerships with music anti-piracy company AudioLock and in 2014 launched a partnership with Berklee College of Music, funding its Rethink Music initiative and a student-led project into global music licensing issues.
Key Resources
Kobalt’s key resources are its technology and software platform, its collection and licensing partnerships, its personnel and its IT infrastructure. Kobalt has one patent application filed with the US Patent and Trademark Office, entitled ‘Analysis and display of a precis of global licensing activities’, which relates to the tracking of ongoing usage of music owned by its customers.
Cost Structure
Kobalt incurs costs in relation to research and development of its platform, maintenance of its IT infrastructure, retention of its personnel and management of its partnerships. Kobalt operates a network of offices across London, Berlin, Atlanta, Sydney, Stockholm, New York, Nashville, Miami and Los Angles, accruing costs in the form of rent and utilities.
Revenue Streams
Kobalt’s revenue is generated through four principal operating divisions: Publishing, Neighbouring Rights, Label Services and AMRA.
- The majority of the Company’s revenue is generated by its Publishing Division, which in 2015 accounted for $194.2 million of the Company’s total $245 million in annual revenue.
- Kobalt collects a commission on all royalties collected via its online portal, typically between 6% and 15%. Kobalt’s Neighbouring Rights Division, which accounted for $20.9 million in revenue in 2015, also generates revenue by collecting commissions on royalties, as well as through the provision of ancillary services.
- Kobalt’s Label Services Division provides a range of services, including marketing and distribution and licensing, using flexible contracts. This division generate $29.1 million in 2015.
- Kobalt’s collection agency AMRA (the American Music Rights Agency) revenue stream accounted for the remainder of the Company’s annual revenue.


{% extends 'layouts/docs.html' %} {% set page = guides.ui %} {% set isdocs = true %} {% set isguide = true %} {% block content %}
Basscss can be used to create many different user interface elements out of the box. With utility styles and a thoughtfully-architected templating system, you can keep CSS bloat to a minimum, while making iterative design changes to partials and components.
Note: this guide makes use of optional modules that are not included in the core Basscss package: UI Utility Button Sizes, UI Utility Groups, and UI Utility Disclosure States.
Pagination is used to split up large lists in a user-friendly way and allows for deep linking. Use a combination of layout utilities and button styles to create navigation that suites your design.
{{ macros.example('pagination.html') }}Responsive state utilities can be used to progressively enhance pagination with numbers on devices with wider viewports.
{{ macros.example('pagination-numbers.html') }}Standard color styles can be used to control the appearance.
{{ macros.example('pagination-bordered.html') }}
Input groups can be created by removing margins, adjusting border radii, and using the group utilities.
The .hide
utility visually hides labels, while keeping them accessible to screen readers.
The grid system can be used to control button or input group widths.
{{ macros.example('input-group-horizontal.html') }}Dropdown menus are used to group secondary or sensitive actions behind a two-step progressive disclosure, while conserving screen real estate. Dropdowns can be created with basic positioning utilities.
The wrapping elements uses relative positioning to anchor the dropdown body.
An invisible fixed position element is used as an overlay to dismiss the dropdown.
The dropdown body uses absolute positioning and margin top to align with the trigger element,
without affecting the document flow.
The .disclosure-group
utility is used to show and hide
child elements with javascript.
Be sure dropdowns don’t expand beyond the viewport when used near edges or at small screen sizes.
Note: this example uses a custom JavaScript function for the disclosure mechanism. Use a similar function, component, or directive in your own JavaScript to control behavior.
Boxes are used to group content and collections of application resources. Use combinations of layout utilities and color styles to create boxes.
{{ macros.example('box.html') }}To create headers and footers, set padding on nested divs then use color styles to control appearance.
{{ macros.example('box-header.html') }} {{ macros.example('box-image.html') }} {{ macros.example('box-header-footer.html') }}Flash messages are used to provide feedback after the user has performed an action. Create custom flash messages with utilities and color styles.
{{ macros.example('flash-messages.html') }}Badges are used to represent properties and states and to tease quantities of resources behind navigation links. Button size extensions can be used in combination with other utilities and color styles to create badges.
{{ macros.example('badges-headings.html') }}Color semantics can be controlled with color styles to represent different qualities of states.
{{ macros.example('badges-colors.html') }}


Charles Peden
ccbpeden
Introduction Week 3
Ping Pong will count up to your number from 1 with the following exceptions:


{{extend "layout.html"}}
{{=T("Cross examine different project data and filter criteria.")}}
{{=A(IMG(_src="/%s/static/themes/DRRPP/img/matrix_img.png" % appname), _href=URL(c="project", f="project", args=["matrix"]), _title="Project Matrix Report")}}
{{=A(T("Go to matrix analysis"), _href=URL(c="project", f="project", args=["matrix"]))}}
{{=T("Develop your customised bar chart to identify gaps and find trends in the implementation of DRR Projects.")}}
{{=A(IMG(_src="/%s/static/themes/DRRPP/img/graph_img.png" % appname), _href=URL(c="project", f="project", args=["graphs"] ), _title="Project Graphs")}}
{{=T("Display graph for:")}}
{{=T("Develop maps which show the types of DRR Projects being implemented by different organisations and compare this with geographical risk mapping data.")}}
{{=A(IMG(_src="/%s/static/themes/DRRPP/img/map_img.png" % appname), _href=URL(c="project", f="location", args=["map"]), _title="Project Map")}}
{{=A(T("Go to map analysis"), _href=URL(c="project", f="location", args=["map"]))}}


IP Accounting accumulates traffic information in kernel buffer. This buffer
can be periodically read and flushed by some other program. IP Accounting
implemented by ng_ipacct
node. To enable IP Accounting on a
particular interface ipacct
options should be used.


| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| src/ | 90.48% | 19/21 | 87.5% | 7/8 | 85.71% | 6/7 | 100% | 2/2 | |
| src/auth/ | 49.87% | 190/381 | 51.01% | 76/149 | 81.69% | 58/71 | 38.26% | 88/230 | |
| src/connect/ | 28.28% | 41/145 | 42.11% | 24/57 | 71.43% | 20/28 | 5.43% | 5/92 | |
| src/utils/ | 35.55% | 91/256 | 24.36% | 19/78 | 8.11% | 3/37 | 20% | 40/200 |


Packages
Reviews
Booking
Pa
menu
Booking
Book your event today to recieve a quote.
Booking Event Form
Name:
E-mail:
Phone Number:
Event Type: (ie. Wedding, Fundraiser, Birthday)
How many guests do you expect?
What kind of music? (ie. Pop, Country, EDM, Rap/R&B, Hip-Hop, Rock, Top 40)
How many guests do you expect?
Is the event inside or outside?
Inside
Outside
Unsure
What services do you require?
DJ
MC
Sound Equipment
Microphone
Lighting
Total budget for the services?
Event Date & Time (ie. 06/15/2016 @ 2:00PM)
Duration of Event (ie. 4 hours)
Event Location
How would you like to recieve your quote?
Email
Phone Call
Text Message
After clicking SEND you will see a popup window of the form. Click send within the popup window.


Skip to main content
Home
Services
Settings
Site Map
System Info
Broadband
LAN
Firewall
Logs
Diagnostics
Status
Wi-Fi
Wired Interfaces
DHCP
LAN IP Address Allocation
Statistics
IPv6
IPv6 Configuration
IPv6 LAN Enabled
Enable
IPv6 Status
Type
Value
LAN Status
Up
Link Local Address
fe80::3a3b:c8ff:fe38:1e15
Delegated Address/Subnet
2600:1700:4385:c010::1/64


_Double_Take_ (PG-13) * (out of ****)
Eddie Griffin, stand-up comic and star of the defunct UPN sitcom _Malcolm_&_Eddie_. Orlando Jones, co-star of _The_Replacements_ and commonly recognized as the "7Up Guy." Put these two together, and you get an action comedy that can be called just about anything... but funny.
Despite what the ads lead one to believe, _Double_Take_ is not about swapping identities so much as simply swapping outfits. When some heavies target Wall Street banker Daryl Chase (Jones) thanks to some dirty dealings at his firm, he trades clothes with loudmouth street hustler Freddy Tiffany (Griffin) to get out of a sticky situation. After the danger has been avoided and the two take a long trip to Mexico for safety, for some reason the pair never think to switch back, and for equally inscrutable reasons they start to play at being the other--leading to all sorts of mistaken identity situations. Never mind that their impressions of each other wouldn't fool anybody, nor the fact that Griffin and Jones simply LOOK NOTHING ALIKE--in changing from formal to casual wear, they are taken as completely different people.
Maybe writer-director George Gallo was trying to make some sociopolitical comment about how non-blacks think all blacks look alike, but that's giving him way too much credit. Besides, Gallo has a lot of other things on his mind: namely the convolutions of his overly plotted script. _Double_Take_ appears to be a lark of an entertainment, but there are so many sudden doublecrosses and reversals that it's bewildering. Not that deciphering the plot is worth the effort; the explanations Gallo offers are crude at best. If there's anything Gallo successfully does, it's confuse the audience.
And if there's one thing Gallo certainly does not do, it's make the audience laugh. Given the right material Griffin and Jones can be funny, but one would never know that from the few amusing moments they are able to create here. Jones' more lively qualities are muted in the straight man role, and the goofy Griffin is hardly convincing when called to do gunblazing action, not to mention he's just hampered in general by the PG-13 limitations. He was a lot more effective in the misbegotten Master P vehicle _Foolish_--a far worse film than _Double_Take_, mind you, but at least there he wasn't required to rein in his more profane (and more effective) comic instincts.
But a lack of joyous abandon is the least of _Double_Take_'s problems. So what is the greatest? A writer-director with a half-baked script and not the vaguest clue of how to bring it to life.
©2001 Michael Dequina
Michael Dequina<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|<EMAIL_ADDRESS>Mr. Brown's Movie Site: http://www.mrbrownmovies.com CinemaReview Magazine: http://www.CinemaReview.com on ICQ: #25289934 | on AOL Instant Messenger: MrBrown23
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


First bike in this week due to blister from last weekend's hiking trip. Perfect day to get back on the bike.
6/24/2011, 9:53:00 AM
Favs: 0
Retweets: 0
link--- layout: tweet ---
First bike in this week due to blister from last weekend's hiking trip. Perfect day to get back on the bike.
6/24/2011, 9:53:00 AM
Favs: 0
Retweets: 0
link


Is Martin Scorsese’s The Irishman based on a true story?
Martin Scorsese’s latest mob film, The Irishman, is now available on Netflix, after a limited theatrical release and festival circuit.
The Goodfellas director assembled his old crew – Robert De Niro, Al Pacino and Joe Pesci – to create the 3.5 hour-long masterpiece, which earned a 4.5 star review from Metro.co.uk.
Using CGI to de-age the actors, the film cost a reported $160 million (£130 million) to make.
The gangster flick follows protagonist Frank Sheeran – dubbed the Irishman – as he recounts his life as a hitman, and his encounters with union official Jimmy Hoffa and the Bufalino crime family.
It’s based on the book I Heard You Paint Houses, but how much of it the story is true? We take a look.
Join us, but be warned that some spoilers lie ahead…
Is Martin Scorsese’s The Irishman based on a true story?
The book which the film is based on, I Heard You Paint Houses, was written by former investigator and defense attorney Charles Brandt, and recounts the alleged confessions of Frank Sheeran.
Advertisement Advertisement
The former war veteran and gangster fought in World War II before returning to the US, where he was employed by the notorious Bufalino crime family.
Through this, he became close to union leader Jimmy Hoffa, who served as the President of the International Brotherhood of Teamsters.
In the film, the pair form a brotherly bond, even sharing hotel rooms and becoming close to one another’s family – until Sheeran shoots Brandt, on the orders of Russell Bufalino.
While the closeness of the pair is subject to a little scrutiny, it’s widely recognised that Sheeran and Hoffa both worked with the mafia, and one another.
The film mirrors the narrative of the book, but doubts have been cast over the accuracy of Brandt’s story and Sheeran’s testimony.
A professor at Harvard Law, Jack Goldsmith, wrote an essay for Slate claiming that many of the stories and ‘hits’ were fabricated by Sheeran.
He doubted Sheeran was responsible for so many notorious mafia hits, and described his story as an ‘an astounding saga. Almost too good to be true. No, let’s say it: too good to be true.’
Advertisement Advertisement
Sheeran died of cancer in 2003 so we’ll never truly know.
Who was union rep Jimmy Hoffa, and what happened to him?
Jimmy Hoffa was elected as the President of the International Brotherhood of Teamsters in 1957 and fast established himself as one of the most prominent figures in union history.
Under his rule the Teamsters were the largest labour union in the US, and Hoffa himself became a household name.
The Teamsters were closely linked to the mafia, whom they shared their abundant pension fund with, to pull favours, and fund the mafia’s ecosystem.
True to the film, Hoffa spent several years in a federal prison after being convicted by then-attorney general, Robert F. Kennedy.
Despite being locked away, he refused to relinquish control of his union – an unpopular move for the mob and his predecessors.
In 1975 he disappeared after reportedly leaving his house in Detroit to attend a meeting with mafia and union officials.
His disappearance was never officially ‘solved’ and while FBI files dictate that Sheeran was in Detroit during the the time of Hoffa’s death, there is no evidence to indicate he carried it out.
You can watch the Irishman on Netflix now
Advertisement


We're sorry but web-resume doesn't work properly without JavaScript enabled. Please enable it to continue.


Who out there makes awesome presentation slides with lots of code? Looking for some inspiration.
6/17/2014, 8:25:32 AM
Favs: 0
Retweets: 1
link--- layout: tweet ---
Who out there makes awesome presentation slides with lots of code? Looking for some inspiration.
6/17/2014, 8:25:32 AM
Favs: 0
Retweets: 1
link


Obanor leads Oral Roberts past Div. II Rogers State 73-60
TULSA, Okla. (AP) - Kevin Obanor matched his career high with 31 points plus 10 rebounds as Oral Roberts beat Division II Rogers State 73-60 on Tuesday night.
Max Abmas had 11 points for Oral Roberts (2-3). Elijah Lufile added 10 points. Deondre Burns had six rebounds for the home team.
Chris Miller had 24 points for the Hillcats, who were granted full membership in NCAA Division II in 2016. Marques Sumner added 11 points. Brewster Peacock had eight rebounds.
Oral Roberts faces Wichita State on the road on Saturday.
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


Global position sensor {{gps_sensor_id}}
Temperature (not included) {{temperature_sensor_id}}
Accelerometer (not included) {{accelerometer_sensor_id}}
Pressure (not included) {{pressure_sensor_id}}
Humidity (not included) {{humidity_sensor_id}}
Agreement identifier: {{global.globalvars.agreement_id}}
Time taken: {{time_taken}}
Terms were violated!


Your {{ '$%0.2f'| format(amount/100|float) }}
{{ frequency }} donation by {{ payment_method }} is
{% if subscription.status == 'active' %}
active and will renew on {{ next_cycle }}.
{% else %}
canceled.
{% endif %}
The email we have on file is:
{{ email }}
Subscription ID:
{{ id }}
If you have any questions about your {{ frequency }} donation, contact us at
{{ donate_email }}.
From here you can donate again or visit
missionbit.org.
{% if subscription.status == 'active' %}
{% endif %}


Placeholder
We endeavour to ensure all bike tracker transactions are secure, always look for the green padlock at the top of the screen.


Preparation time
less than 30 mins
Cooking time
no cooking required
Serves
Serves 8-10
Dietary
This classic lemon cheesecake is a no-bake, make-ahead wonder. Enjoy a zingy lemon dessert in less than 30 minutes.
Brush the bottom of a 23cm/9in springform cake tin with some of the melted butter and place a round of greaseproof paper in the base.
Crush the biscuits and tip them into a bowl, add the melted butter and honey and stir until well combined.
Tip the mixture into the bottom of the cake tin. Using the back of a spoon, gently push the crumbs from the centre outward, until smooth and level. This will form the base of the cheesecake. Chill in the fridge while making the filling.
For the filling, mix the mascarpone cheese, lemon juice and zest and caster sugar together in a bowl until well combined. Do not mix the mixture too much as this will cause it to split. Taste the mixture and add more sugar, to taste.
Spoon the mixture into the tin on top of the chilled biscuit mixture and chill in the fridge for at least 2 hours.
When ready to serve, either run a hot cloth or blowtorch round the outside of the tin and ease out the cheesecake.
For the sauce, blend most of the fruits with some icing sugar (to taste) in a food processor until smooth. Pass the sauce through a sieve.
Place the cheesecake onto a plate, decorate the top with the sprigs of fresh mint and spoon the sauce around the side. Decorate with the remaining berries.


X
Home
Gallery
Purchases
Quiz
About
Site Map
Feedback
Sitemap
Cassandra
Presentation Page
Home
CV of Akshaan
CV of Nujitha
CV of Dimithra
CV of Akshaan
Drum
Harp
Violin
Piano
CV of Dimithra
CV of Hiruni
Sitemap
Purchases
Quiz
Gallery
About
Feedback


Emmanuel Touzery
It has an interface named λ.
I rest my case ∎
No 'void' modifiers. Example of mutable classes: List, Map, old Date, Calendar
List newList = existing.prepend(extraCar);
Note that we now have two lists: existing
is still available and unchanged, and newList
is added, with the change included.
We say of a 'void' returning function that it's only side-effecting.
No more 'getters' which allow to modify your state
|
|
Key points: it's monitored, and same order of magnitude
for `1026` elements| Java mutable @ ArrayList | → 19,072 bytes |
| PCollections persistent @ TreePVector | → 56,096 bytes |
| Eclipse Collections persistent @ ImmutableArrayList | → 19,064 bytes |
| Clojure persistent @ PersistentVector | → 20,552 bytes |
| Scala persistent @ Vector | → 20,168 bytes |
| Javaslang persistent @ Vector | → 19,816 bytes |
| Javaslang persistent @ Vector | → 4,888 bytes |
| Javaslang persistent @ Vector | → 1,816 bytes |
Key points: it's monitored, and same order of magnitude
| Operation | Ratio | 10 | 100 | 1026 |
|---|---|---|---|---|
| Create | slang_persistent/java_mutable | 1.68× | 1.31× | 1.28× |
| Head | slang_persistent/java_mutable | 0.66× | 0.49× | 0.39× |
| Tail | slang_persistent/java_mutable | 0.88× | 0.48× | 0.49× |
| Get | slang_persistent/java_mutable | 0.80× | 0.41× | 0.27× |
| Update | slang_persistent/java_mutable | 0.18× | 0.06× | 0.04× |
| Map | slang_persistent/java_mutable | 2.16× | 2.37× | 2.30× |
| Map | slang_persistent/java_mutable_loop | 0.48× | 0.51× | 0.72× |
| Filter | slang_persistent/java_mutable | 1.88× | 1.94× | 1.53× |
| Prepend | slang_persistent/java_mutable | 0.11× | 0.12× | 0.23× |
| Append | slang_persistent/java_mutable | 0.04× | 0.03× | 0.02× |
| GroupBy | slang_persistent/java_mutable | 0.35× | 0.53× | 0.89× |
| Slice | slang_persistent/java_mutable | 0.63× | 0.43× | 0.45× |
| Iterate | slang_persistent/java_mutable | 0.75× | 0.30× | 0.40× |
Javaslang List
doesn't inherit from java.util.List
, unlike guava or Collections.unmodifiableList
for instance
Picture from adit.io
|
|
Java8 has Optional, Stream, CompletableFuture
Optional
but betterSome
), or not (None
)map
, flatMap
, filter
, sequence
Scott Wlaschin
Scott Wlaschin
Scott Wlaschin
Try.of
turns a function returning T potentially throwing into a Try<T>
Success
or a Failure
map
, mapTry
, andThenTry
, getOrElse*
, sequence
, recover
Either<Throwable,T>
is comparable to Try<T>
Left
(failure) or a Right
(success)map
, flatMap
& mapLeft
Valid
or Invalid
, but a validation will accumulate the errors instead of short-circuitingmap
, mapError
, get
, getError
, sequence
Functional and Reactive domain modeling, Debasish Ghosh, p125
mapN
, _N
Patterns are extracted and immediately visible, while a for
loop could perform anything.
In mathematics, a
is a relation between a set of inputs and a set of permissible outputs with the property that each input is related to exactly one output.
list.map(f).map(g)
is equivalent to list.map(f.andThen(g))
only if both functions are pure (free of side-effects).
Side effects: anything that depends on an external system. Filesystem, global mutable state..
You can wrap a function with another one, or compose them. Composed function are better testable (in tests and in the REPL)
getTranslationIdentifierToKey
→ calls getTranslations
getTranslations
→ calls decodeTranslationFile
→ extracts the translations
You can wrap a function with another one, or compose them. Composed function are better testable (in tests and in the REPL)
instanceOf
, isIn
x -> x %2 == 0 || x < 0
Note that Match
is pushing the java8 type inference. Sometimes you must really fight the compiler and the code is sensitive on the type annotations and difficult to write.


Gecode::Int::Arithmetic Namespace Reference
Numerical (arithmetic) propagators. More...
Classes | |
| class | ValuesMapSqr |
| Mapping integer to square. More... | |
| class | ValuesMapSqrt |
| Mapping integer to square root. More... | |
| class | RangesMapSqr |
| Mapping ranges to squares. More... | |
| class | RangesMapSqrt |
| Mapping integer to square root. More... | |
| class | AbsBnd |
| Bounds consistent absolute value propagator. More... | |
| class | AbsDom |
| Domain consistent absolute value propagator. More... | |
| class | MaxBnd |
| Bounds consistent ternary maximum propagator. More... | |
| class | NaryMaxBnd |
| Bounds consistent n-ary maximum propagator. More... | |
| class | MaxDom |
| Domain consistent ternary maximum propagator. More... | |
| class | NaryMaxDom |
| Domain consistent n-ary maximum propagator. More... | |
| class | SqrPlusBnd |
| Bounds consistent positive square propagator. More... | |
| class | SqrBnd |
| Bounds consistent square propagator. More... | |
| class | SqrPlusDom |
| Domain consistent positive square propagator. More... | |
| class | SqrDom |
| Domain consistent square propagator. More... | |
| class | SqrtBnd |
| Bounds consistent square root propagator. More... | |
| class | SqrtDom |
| Domain consistent square root propagator. More... | |
| class | MultZeroOne |
| Bounds or domain consistent propagator for . More... | |
| class | MultPlusBnd |
| Bounds consistent positive multiplication propagator. More... | |
| class | MultBnd |
| Bounds consistent multiplication propagator. More... | |
| class | MultPlusDom |
| Domain consistent positive multiplication propagator. More... | |
| class | MultDom |
| Domain consistent multiplication propagator. More... | |
| class | DivPlusBnd |
| Bounds consistent positive division propagator. More... | |
| class | DivBnd |
| Bounds consistent division propagator. More... | |
| class | DivMod |
| Integer division/modulo propagator. More... | |
Enumerations | |
| enum | MaxPropStatus { MPS_ASSIGNED = 1<<0, MPS_REMOVED = 1<<1, MPS_NEW_BOUND = 1<<2 } |
Status of propagation for nary max. More... | |
Functions | |
| template<class View , template< class View0, class View1 > class Eq> | |
| ExecStatus | prop_abs_bnd (Space &home, Propagator &p, View x0, View x1) |
| template<class View > | |
| ExecStatus | prop_max_bnd (Space &home, View x0, View x1, View x2) |
| template<class View > | |
| ExecStatus | prop_nary_max_bnd (Space &home, Propagator &p, ViewArray< View > &x, View y, PropCond pc) |
| template<class Val > | |
| Val | m (int x, int y) |
| Multiply x and y as type Val. | |
| template<class Val > | |
| Val | m (int x, double y) |
| Multiply x and y as type Val. | |
| template<> | |
| double | m (int x, int y) |
| Multiply x and y as type Val. | |
| template<> | |
| double | m (int x, double y) |
| Multiply x and y as type Val. | |
| template<class Val > | |
| int | c_d_p (int x, Val y) |
| Compute where x and y are non-negative. | |
| template<class Val > | |
| int | f_d_p (int x, Val y) |
| Compute where x and y are non-negative. | |
| template<> | |
| int | c_d_p< int > (int x, int y) |
| template<> | |
| int | c_d_p< double > (int x, double y) |
| template<> | |
| int | f_d_p< int > (int x, int y) |
| template<> | |
| int | f_d_p< double > (int x, double y) |
| int | f_d (int x, int y) |
| Compute . | |
| int | c_d (int x, int y) |
| Compute . | |
| template<class View > | |
| bool | pos (const View &x) |
| Test whether x is postive. | |
| template<class View > | |
| bool | neg (const View &x) |
| Test whether x is negative. | |
| template<class View > | |
| bool | any (const View &x) |
| Test whether x is neither positive nor negative. | |
| template<class Val , class VA , class VB , class VC > | |
| ExecStatus | prop_mult_plus_bnd (Space &home, Propagator &p, VA x0, VB x1, VC x2) |
| template<class Val , class View > | |
| ExecStatus | prop_mult_dom (Space &home, Propagator &p, View x0, View x1, View x2) |
| template<class VA , class VB > | |
| ExecStatus | prop_sqr_plus_bnd (Space &home, VA x0, VB x1) |
| template<class View > | |
| ExecStatus | prop_sqrt_bnd (Space &home, View x0, View x1) |
Detailed Description
Numerical (arithmetic) propagators.
Enumeration Type Documentation
Function Documentation
template<class View , template< class View0, class View1 > class Eq>
| ExecStatus Gecode::Int::Arithmetic::prop_abs_bnd | ( | Space & | home, | |
| Propagator & | p, | |||
| View | x0, | |||
| View | x1 | |||
| ) | [inline] |
template<class View >
| ExecStatus Gecode::Int::Arithmetic::prop_max_bnd | ( | Space & | home, | |
| View | x0, | |||
| View | x1, | |||
| View | x2 | |||
| ) | [inline] |
template<class View >
| ExecStatus Gecode::Int::Arithmetic::prop_nary_max_bnd | ( | Space & | home, | |
| Propagator & | p, | |||
| ViewArray< View > & | x, | |||
| View | y, | |||
| PropCond | pc | |||
| ) | [inline] |
template<class Val >
| Val Gecode::Int::Arithmetic::m | ( | int | x, | |
| int | y | |||
| ) | [inline] |
template<class Val >
| Val Gecode::Int::Arithmetic::m | ( | int | x, | |
| double | y | |||
| ) | [inline] |
template<>
| int Gecode::Int::Arithmetic::m | ( | int | x, | |
| int | y | |||
| ) | [inline] |
template<>
| double Gecode::Int::Arithmetic::m | ( | int | x, | |
| double | y | |||
| ) | [inline] |
template<class Val >
| int Gecode::Int::Arithmetic::c_d_p | ( | int | x, | |
| Val | y | |||
| ) | [inline] |
Compute where x and y are non-negative.
template<class Val >
| int Gecode::Int::Arithmetic::f_d_p | ( | int | x, | |
| Val | y | |||
| ) | [inline] |
Compute where x and y are non-negative.
template<>
| int Gecode::Int::Arithmetic::c_d_p< int > | ( | int | x, | |
| int | y | |||
| ) | [inline] |
template<>
| int Gecode::Int::Arithmetic::c_d_p< double > | ( | int | x, | |
| double | y | |||
| ) | [inline] |
template<>
| int Gecode::Int::Arithmetic::f_d_p< int > | ( | int | x, | |
| int | y | |||
| ) | [inline] |
template<>
| int Gecode::Int::Arithmetic::f_d_p< double > | ( | int | x, | |
| double | y | |||
| ) | [inline] |
| int Gecode::Int::Arithmetic::f_d | ( | int | x, | |
| int | y | |||
| ) | [inline] |
| int Gecode::Int::Arithmetic::c_d | ( | int | x, | |
| int | y | |||
| ) | [inline] |
template<class View >
| bool Gecode::Int::Arithmetic::pos | ( | const View & | x | ) | [inline] |
template<class View >
| bool Gecode::Int::Arithmetic::neg | ( | const View & | x | ) | [inline] |
template<class View >
| bool Gecode::Int::Arithmetic::any | ( | const View & | x | ) | [inline] |
template<class Val , class VA , class VB , class VC >
| ExecStatus Gecode::Int::Arithmetic::prop_mult_plus_bnd | ( | Space & | home, | |
| Propagator & | p, | |||
| VA | x0, | |||
| VB | x1, | |||
| VC | x2 | |||
| ) | [inline] |
template<class Val , class View >
| ExecStatus Gecode::Int::Arithmetic::prop_mult_dom | ( | Space & | home, | |
| Propagator & | p, | |||
| View | x0, | |||
| View | x1, | |||
| View | x2 | |||
| ) | [inline] |
template<class VA , class VB >
| ExecStatus Gecode::Int::Arithmetic::prop_sqr_plus_bnd | ( | Space & | home, | |
| VA | x0, | |||
| VB | x1 | |||
| ) | [inline] |
template<class View >
| ExecStatus Gecode::Int::Arithmetic::prop_sqrt_bnd | ( | Space & | home, | |
| View | x0, | |||
| View | x1 | |||
| ) | [inline] |


The following infographics will display the capital budget of Vote 8 from 2014/2020. Each department within the vote's budget will be displayed and compare over the 6 year period. The MTREF (Medium Term Revenue and Expenditure Framework) is displayed in years 2018/2019 and 2019/2020. This is the estimated budget breakdown for the next two years.
This graph displays how each years capital expenditure is distributed to each department.The graph displays an increase in budget over the 6 years.
The main focus of the Informal Settlements and Backyarders Department is to “upgrade and improve informal settlements and to provide services to backyard dwellers, and to consolidate the provision of bulk services, janitorial services, EPWP opportunities, taps and toilet installations.” The department is also responsible for managing environmental health and social services, including disaster and emergency services. The graph below shows a drastic drop in the informal settlement capital expenditure from 2014 to 2020. This could be due to the newly distributed departments. Human Settlements Department became Informal Settlements and Backyarders in 2017. This decrease in budget, however, still insinuated that the City Of Cape Town is not pro poor.
The solid waste department oversees the removal of animal carcasses on public land and roads, as well as the cleaning and collection of refuse in informal settlements. They provide waste management planning advice to all partnerships and cleansing services to special events within the City During 2014/2017 there was a slight decline in the capital expenditure in the Solid waste department. This is in contrast with the large increase in capital expenditure from 2017/2020. This allocation in 2014/15 represents just over R4 524 million or 74.4% of the total budgetary allocation for the year. Utility Services receives the largest allocation of R2 872 million in 2014/15, which represents 47.2% of the budget. Utility Services includes the services responsible for the provision of electricity, solid waste, water and sanitation. A large portion of the Water and sanitation goes to major Water Projects such asBulk Water Augmentation Scheme,Water supply Baden Powell to Khayelitsha ,and Distribution to Belhar CBD. Below is a table displaying the Capital budget for specific areas within Cape Town for the wastewater treatment.
The Electricity Distribution Department (2014/2015) in the newly created Energy Directorate (2017/2018) is responsible for the delivery of bulk infrastructure and electricity services. According to the 2017/18 draft budget, this department provides electricity services to informal housing through its electrification and backyarder plans. Over the 6 year period the Electricity Department now know as the Energy Department has increased between 2014/2016, increased between 2016/2018 and is predicted to continue increasing into 2020.
The Water and Sanitation Department in the Informal Settlements, Water and Waste Services Directorate is responsible for the delivery of water and sanitation services. This mandate includes the implementation of bulk water and sanitation infrastructure projects, some of which might be undertaken in support of the informal settlement upgrading. Water and Sanitation capital expenditure has increased between 2014/2016, however, there was a slight decrease between 2016 and 2017. It is predicted in the 2017/2018 Budget that there will be a constant increase into 2020. A total of 2 973 households in the City of Cape Town currently does not have access to piped water and have to rely on other sources of water. As seen on the graph below.
Vote 8 of the 2017/2018 budget per ward consists of 29 Wards. Of the 29 Wards ward 7 have an incomer above the average income of all the wards. X number of Wards in the receive services from the budget have an income below/above the average income.
The yellow section on the map indicate the low income areas (less than R50613,00), the green areas indicate the middle income (R404301 - R50614,00) and the red areas on the map indicate the high income wards (more than R404902,00). Out of the 29 Ward allocated funds within Vote 8, 9 is dedicated to lower income wards, while 5 is dedicated to middle income wards and 15 to higher income wards. 52% of the funds mentioned in the ward allocation budget goes to wards with higher average household income. This indicates that the budget is not in fact pro poor.
Majority of the Vote 8’s budget is placed in the solid waste management department in projects such as area cleaning. Only two wards are allocated a budget for Job Creation the rest of the wards are allocated a budget for area cleaning projects and street sweeping.
2017/2018 budget allocation per Ward does not display the budget allocation per ward for water and sanitation, and informal settlements and backyarders department, however in the above graphs the budget for each department within Vote 8 is clearly stipulated.


404
Sorry, the page you're looking for doesn't seem to exist.
If you think this page should exist please contact an administrator.
Home


Test Node Page
Randomize GitHub!
Your browser does not support the audio element.
Your browser doesn't support canvas!


{% load i18n %} {% get_current_language as language %}
Or play, depending on how you look at it.
In either case you should build your own template. After all, this is your portfolio.


About this product
More information coming up
What this product do?
More information coming up
How to use this product
More information coming up


The UTF8
structure provides support for working
with UTF-8
encoded strings. UTF-8 is a way to represent Unicode
code points in an 8-bit character type while being backward
compatible with the ASCII encoding for 7-bit characters.
The encoding scheme uses one to four bytes as follows:
| Wide Character Bits | Byte 0 | Byte 1 | Byte 2 | Byte 3 |
|---|---|---|---|---|
|
|
|||
|
|
|
||
|
|
|
|
|
|
|
|
|
|
Synopsis
signature UTF8
structure UTF8 :> UTF8
Interface
type wchar = word
val maxCodePoint : wchar
exception Incomplete
val getu : (char, 'strm) StringCvt.reader -> (wchar, 'strm) StringCvt.reader
val encode : wchar -> string
val isAscii : wchar -> bool
val toAscii : wchar -> char
val fromAscii : char -> wchar
val toString : wchar -> string
val size : string -> int
val explode : string -> wchar list
val implode : wchar list -> string
val map : (wchar -> wchar) -> string -> string
val app : (wchar -> unit) -> string -> unit
val fold : ((wchar * 'a) -> 'a) -> 'a -> string -> 'a
val all : (wchar -> bool) -> string -> bool
val exists : (wchar -> bool) -> string -> bool
Description
type wchar = word
-
The type of a Unicode code point.
Note that we use theword
type for this because SML/NJ does not currently have a wide-character type. If such a type is introduced, then this type definition will likely change. val maxCodePoint : wchar
-
The maximum code point in the Unicode character set (
0wx10FFFF
).
exception Incomplete
-
This exception is raised when certain operations are applied to incomplete strings (i.e., strings that end with a partial UTF-8 character encoding).
val getu : (char, 'strm) StringCvt.reader -> (wchar, 'strm) StringCvt.reader
-
getu getc
returns a wide-character reader for the character readergetc
. The resulting reader will raise theIncomplete
exception if it encounters an incomplete UTF-8 character. val encode : wchar -> string
-
encode wc
returns the UTF-8 encoding of the wide characterwc
. This expression raises theDomain
exception ifwc
is greater than the maximum Unicode code point. val isAscii : wchar -> bool
-
isAscii wc
returnstrue
if, and only if,wc
is an ASCII character. val toAscii : wchar -> char (* truncates to 7-bits *)
-
toAscii wc
convertswc
to an 8-bit character by truncatingwc
to its low seven bits. val fromAscii : char -> wchar (* truncates to 7-bits *)
-
toAscii c
converts the 8-bit characterc
to a wide character in the ASCII range (the high bit ofc
is ignored). val toString : wchar -> string
-
toString wc
returns a printable string representation of a wide character as a Unicode escape sequence. val size : string -> int
-
size s
returns the number of UTF-8 encoded Unicode characters in the strings
. This expression raises theIncomplete
exception if an incomplete character is encountered. val explode : string -> wchar list
-
explode s
returns the list of UTF-8 encoded Unicode characters that comprise the strings
. val implode : wchar list -> string
-
implode wcs
returns the UTF-8 encoded string that represents the listwcs
of Unicode code points. This expression raises theDomain
exception if any character in the list is greater than the maximum Unicode code point. val map : (wchar -> wchar) -> string -> string
-
map f s
maps the functionf
over the UTF-8 encoded characters in the strings
to produce a new UTF-8 string. This expression raises theIncomplete
exception if an incomplete character is encountered and theDomain
exception iff
returns a value that is greater than the maximum Unicode code point. It is equivalent to the expressionimplode (List.map f (explode s))
val app : (wchar -> unit) -> string -> unit
-
app f s
applies the functionf
to the UTF-8 encoded characters in the strings
. This expression raises theIncomplete
exception if an incomplete character is encountered. It is equivalent to the expressionList.app f (explode s)
val fold : ((wchar * 'a) -> 'a) -> 'a -> string -> 'a
-
fold f init s
folds a function from left-to-right over the UTF-8 encoded characters in the string. This expression raises theIncomplete
exception if an incomplete character is encountered. It is equivalent to the expressionList.foldl f init (explode s)
val all : (wchar -> bool) -> string -> bool
-
all pred s
returnstrue
if, and only if, the functionpred
returns true for all of the UTF-8 encoded characters in the string. It short-circuits evaluation as soon as a character is encountered for whichpred
returnsfalse
. This expression raises theIncomplete
exception if an incomplete character is encountered. It is equivalent to the expressionList.all pred (explode s)
when
s
only contains complete characters. val exists : (wchar -> bool) -> string -> bool
-
exists pred s
returnstrue
if, and only if, the functionpred
returnstrue
for at least one UTF-8 encoded character in the strings
. It short-circuits evaluation as soon as a character is encountered for whichpred
returnstrue
. This expression raises theIncomplete
exception if an incomplete character is encountered. It is equivalent to the expressionList.exists pred (explode s)
when
s
only contains complete characters.


16 Hours of creating prototypes that innovate on provided themes. Collaborating to code, develop and deploy innovative solutions!
Come, hack MAIT !
To check your innovative mind and coding skills grab the opportunity of "HACKMAIT 3.0" This will comprise of two rounds, where participants need to register in teams of maximum 4 members. Description of each round is given below.
In this round participants will be provided with themes on the platform. After individual registration and team formation, they are required to submit their project ideas based upon the mentioned themes and upload them on the same platform before the deadline i.e. by 12 pm on the 13th March. The results of Round 1 will be sent to the shortlisted teams via email within 1-2 days. The selection process is based on both the originality and usefulness of the idea submitted. Selected participants are required to build their prototype in the offline rounds.
The selected teams will have to build their hack on campus. They will be given 12 hours to build their prototype on campus and they can continue working at home.
19 March 2020- Day 1: The participants have to report at the campus at 9am. The hack will start at 10 am. All the participants will start working on their prototypes. The teams will have till 4pm to code and then will go back home and continue coding if required.
20th March 2020 (Day2): The participants will have to report to the campus at 9am. They will get time till 12pm to finish their hack. A mentor evaluation round will be conducted where 10(?)teams will be shortlisted for the pitching round. Pitching will start at 1:30(?) where the judges will evaluate the hacks. Pitching will be followed by result announcement.
A Hackathon is an intense event that brings together people like software developers, graphic designers and user interface specialists along with industry process experts and professionals to identify issues and create software solutions.
This is a very hands-on event. Bring your laptops and mobile phones, but above all, your energy and your brain!.
A team can have anywhere between 2-4 members. 2 being the minimum number and 4 being the maximum number of members.
YES. Anyone from anywhere can be a part of impulse and HACKMAIT 3.0.


Curve Registration¶
statistic calculation for SRVF (curves) open and closed using Karcher Mean and Variance
moduleauthor:: J. Derek Tucker<EMAIL_ADDRESS>-
class
curve_stats.
fdacurve
(beta, mode='O', N=200, scale=True)[source]¶ This class provides alignment methods for open and closed curves using the SRVF framework
Usage: obj = fdacurve(beta, mode, N, scale) :param beta: numpy ndarray of shape (n, M, N) describing N curves in R^M :param mode: Open (‘O’) or closed curve (‘C’) (default ‘O’) :param N: resample curve to N points :param scale: scale curve to length 1 (true/false) :param q: (n,T,K) matrix defining n dimensional srvf on T samples with K srvfs :param betan: aligned curves :param qn: aligned srvfs :param basis: calculated basis :param beta_mean: karcher mean curve :param q_mean: karcher mean srvf :param gams: warping functions :param v: shooting vectors :param C: karcher covariance :param s: pca singular values :param U: pca singular vectors :param coef: pca coefficients :param qun: cost function :param samples: random samples :param gamr: random warping functions :param cent: center :param scale: scale :param E: energy
Author : J. D. Tucker (JDT) <jdtuck AT sandia.gov> Date : 26-Aug-2020
-
karcher_mean
(parallel=False, cores=- 1, method='DP')[source]¶ This calculates the mean of a set of curves :param parallel: run in parallel (default = F) :param cores: number of cores for parallel (default = -1 (all)) :param method: method to apply optimization (default=”DP”) options are “DP” or “RBFGS”
-
sample_shapes
(no=3, numSamp=10)[source]¶ Computes sample shapes from mean and covariance
- Parameters
no – number of direction (default 3)
numSamp – number of samples (default 10)
-
shape_pca
(no=10)[source]¶ Computes principal direction of variation specified by no. N is Number of shapes away from mean. Creates 2*N+1 shape sequence
- Parameters
no – number of direction (default 3)
-
srvf_align
(parallel=False, cores=- 1, method='DP')[source]¶ This aligns a set of curves to the mean and computes mean if not computed :param parallel: run in parallel (default = F) :param cores: number of cores for parallel (default = -1 (all)) :param method: method to apply optimization (default=”DP”) options are “DP” or “RBFGS”
-
-
curve_stats.
randn
(d0, d1, ..., dn)¶ Return a sample (or samples) from the “standard normal” distribution.
Note
This is a convenience function for users porting code from Matlab, and wraps standard_normal. That function takes a tuple to specify the size of the output, which is consistent with other NumPy functions like numpy.zeros and numpy.ones.
Note
New code should use the
standard_normal
method of adefault_rng()
instance instead; please see the random-quick-start.If positive int_like arguments are provided, randn generates an array of shape
(d0, d1, ..., dn)
, filled with random floats sampled from a univariate “normal” (Gaussian) distribution of mean 0 and variance 1. A single float randomly sampled from the distribution is returned if no argument is provided.- d0, d1, …, dnint, optional
The dimensions of the returned array, must be non-negative. If no argument is given a single Python float is returned.
- Zndarray or float
A
(d0, d1, ..., dn)
-shaped array of floating-point samples from the standard normal distribution, or a single such float if no parameters were supplied.
standard_normal : Similar, but takes a tuple as its argument. normal : Also accepts mu and sigma arguments. Generator.standard_normal: which should be used for new code.
For random samples from \(N(\mu, \sigma^2)\), use:
sigma * np.random.randn(...) + mu
>>> np.random.randn() 2.1923875335537315 # random
Two-by-four array of samples from N(3, 6.25):
>>> 3 + 2.5 * np.random.randn(2, 4) array([[-4.49401501, 4.00950034, -1.81814867, 7.29718677], # random [ 0.39924804, 4.68456316, 4.99394529, 4.84057254]]) # random