EPICS::IOC - Manage an EPICS IOC
use EPICS::IOC; my $ioc = EPICS::IOC->new; $ioc->debug(1); # Show IOC stdio streams $ioc->start('bin/@ARCH@/ioc', 'iocBoot/ioc/st.cmd'); $ioc->cmd; # Wait for the iocsh prompt my @records = $ioc->dbl; my @values = map { $ioc->dbgf($_); } @records; $ioc->kill;
This module provides an object-oriented API for starting, interacting with and stopping one or more EPICS IOCs under program control, and is generally intended for writing test programs.
The IOC should not be configured to emit unsolicited messages on stdout as this could interfere with the ability of the software to detect an end-of-command from the IOC shell, which is achieved by setting the prompt to a known string (normally __END__
). Unsolicited messages on stderr will not cause problems, but can't be seen on Windows systems.
Calling new
creates an EPICS::IOC
object that can be used to start and interact with a single IOC. After this IOC has been shut down (by calling its kill
method) the EPICS::IOC
object may be reused for another IOC.
Each EPICS::IOC
object has its own debug flag which when non-zero causes all IOC console traffic sent or read by other methods to be printed to stdout along with the IOC's pid and a direction indicator. The debug
method optionally sets and returns the value of this flag.
The optional FLAG is treated as a true/false value. If provided this sets the debug flag value.
The method's return value is the current (new if given) value of the flag.
Launch an IOC binary given by EXECUTABLE with ARGUMENTS. The method dies if it can't run the program as given, or if the IOC is already running.
In most cases the cmd
method should be called next with no command string, which waits for the IOC's boot process to finish and the first iocsh prompt to be displayed.
The start
method sets two environment variables that control how the IOC shell behaves: IOCSH_HISTEDIT_DISABLE
is set to prevent it calling the GNU Readline library, and IOCSH_PS1
is set to a known string which is used as a terminator for the previous command.
Returns the process-ID of the IOC process, or undef if the IOC process has not yet been started.
Returns a true value if the IOC has been started and not yet killed. This state will not change if the IOC dies by itself, it indicates that the start method has been called without the kill method.
The _send
method is a primitive for internal use that sends a COMMAND string to the IOC shell, and prints it to stdout if the debug flag is set.
The _getline
method is also designed for internal use, it fetches a single line output by the IOC, and prints it to stdout if the debug flag is set.
Any CR/LF is stripped from the line before returning it. If the stream gets closed because the IOC shuts down an EOF
debug message may be shown and an undef value will be returned.
Another internal method _getlines
fetches multiple lines from the IOC. It takes an optional TERM string or regexp parameter which is matched against each input line in turn to determine when the IOC's output has been completed. Termination also occurs on an EOF from the output stream.
The return value is a list of all the lines received (with the final CR/LF stripped) including the line that matched the terminator.
Returns a list of lines output by the IOC to stderr since last called. Only complete lines are included, and trailing newlines have been removed.
NOTE: This doesn't work on Windows because it uses select which Perl doesn't support on that OS, but it doesn't seem to cause any problems for short-lived IOCs at least, it just never returns any text from the IOC's stderr output.
If the cmd
method is given an optional COMMAND string along with any number of ARGUMENTS it constructs a command-line, quoting each argument as necessary. This is sent to the IOC and a line read back and discarded if it matches the command-line.
With no COMMAND string the method starts here; it then collects lines from the IOC until one matches the terminator. A list of all the lines received prior to the terminator line is returned.
The kill
method attempts to stop an IOC that is still running in several ways. First it sends an exit
command to the IOC shell. Next it closes the IOC's stdin stream which will trigger an end-of-file on that stream, and it fetches any remaining lines from the IOC's stdout stream before closing both that and the stderr stream. Finally (unless running on MS-Windows) it sends a SIGTERM signal to the child process and waits for it to clean up.
EPICS::IOC
objects have a destructor which calls the kill
method, but it is not recommended that this be relied on to terminate an IOC process. Better to use an END {}
block and/or trap the necessary signals to explicitly kill the IOC.
The following methods provide an easy way to perform various common IOC operations.
Instructs the IOC to load a database (.db) from FILE. If provided, the MACROS parameter is a single string containing one or more comma-separated assignment statements like a=1
for macros that are used in the database file.
This method can also be used to load a database definition (.dbd) file.
Start the IOC executing.
This method uses the dbl
command to fetch a list of all of the record names the IOC has loaded. If a RECORDTYPE name is given, the list will only comprise records of that type.
The dbgf
method returns the value of the process variable PV, or undef
if the PV doesn't exist. This only works when the PV holds a scalar or an array with one element.
This method sets PV to VALUE, and returns the new value, or undef
if the PV doesn't exist. If the put fails the return value is the previous value of the PV. As with the dbgf
method this only works for scalar or single-element arrays, but PV may be an array field which will be set to one element.
Portions Copyright (C) 2011 UChicago Argonne LLC, as Operator of Argonne National Laboratory.
This software is distributed under the terms of the EPICS Open License.


'The band is back' - Dunphy, Giles and Brady set for TV reunion
The trio will be part of Premier Sports’ soccer coverage over the Christmas period.
by Paul FennessyEAMON DUNPHY, JOHN Giles and Liam Brady are set for a TV reunion.
The punditry trio formed the main panel for years as part of RTÉ’s coverage, but both Dunphy and Giles departed the station in recent times, though Brady has continued to work as part of their soccer coverage.
They have continued to work together on Dunphy’s ‘The Stand’ podcast and will now be appearing as part of Irish-owned broadcaster Premier Sports’ TV coverage.
They will return on 4 December for coverage of Man City’s game with Burnley, while at least two of the three have been confirmed for four other matches.
The trio have a combined 90 years of service for the national broadcaster and last appeared onscreen together in 2016.
Meanwhile, Newstalk’s Ivan Yates has joined the channel as a presenter.
Second Captains’ Eoin McDevitt, as well as former footballers Kenny Cunningham and Chris Sutton, will also continue their work for the station.
On his new role, Dunphy said: “I’m delighted to be back with John and Liam, they’re great lads.  He’s also a Manchester City fan so we will have a good bit of craic with him if Burnley beat them on Tuesday.”
Premier Sports owner Michael O’Rourke added: “Unlike the Premier League teams we’re getting our business done before January and we’re delighted to reunite Ireland’s most beloved and iconic football panel. We’re very much looking forward to Eamon, John and Liam bringing their unrivalled expertise and colour to our subscribers.
“December will see Premier Sports coverage reach new heights and on St Stephen’s Day Premier Sports will be the go-to channel for football fans to watch all the action with four live games back to back and an additional five games available on Sky’s red button.”
For more information, click here.
Bernard Jackman and Murray Kinsella join Gavan Casey to discuss eye-gouging, Munster’s scrum-half situation, and the rest of the provincial news.


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Trademarks
Trademark is a recognizable sign, design, or expression which identifies products or services of a particular source from those of others, although trademarks used to identify services are usually called service marks. The trademark owner can be an individual, business organization, or any legal entity. A trademark may be located on a package, a label, a voucher, or on the product itself. For the sake of corporate identity, trademarks are being displayed on company buildings
1. TradeMark is a regcoznizable sign which identifies products or sevices such as pepsi, coke, kfc
2. Service Mark is a recognizable sign, design or expression which identifies about service such as bank, hotel
3. Certification Mark is a certificate sign which guarantee about quality of products or services such as michellin star's
4. Collective Mark is a regcognizable sign, design or expreesion used by companys or limited corporations such as PCT, SCG, Accors
How to registration
1. Request for registration
Must request to International Bureau of WIPO, but you have to request via central company in your hometown. The central company will check and guarantee your trademark
In the procedure about request for registration trademark is followed by 2 steps below:
1. International Procedure
When international bureau accepted the request, they will check the documents in for mal examination which relate to common regulations and nice classification or not. this process included the fees. If the request process have a problem, Internationnal bureau will contact to your central company which your requested and they will inform your about problem. In this process you must complete it in 3 month otherwise your request will be cancle.
2. Phrase in country
When parties country accepted the request, then going to next process is substantive examination followed by usage regulation such as, the design, restriction.
If you want to abort the request, you will inform to international bureau in 12 month or 18 month or after that (It upon the process). otherwise the your request will be publish.
The information about registration date are 2 case below
1.The day that your request to central company in your country. if the request send to international in 2 month.
2.Otherwise the request is not accepted by international bureau after 2 month, then use the start date is the date when internation bureau accepted the request.
Protection Time's
After 10 years, when the request have accepted. Renewed additional periods of 10 years each renewal can be renewed prior to expiration of six months after the expiry of six months, but then the fee increase, 50 percent of the initial fee (Basic fee) will be extended in some countries. Or countries that are protected also.
Registration fees for international registration are four types
1) Basic fee is an initial fee for submitting a request for international
- Mark White - Black 653 Swiss francs
- Marking a 903 Swiss franc
2) Supplementary fee is a fee for such goods and / or services. The applicant within three genera fee from Class 4 to Class 73 per Swiss franc
3) Complementary fee is the fee for a given country to country registered 73 per Swiss franc
4) Individual fee is a fee-only country


Implementing A Parameter Server in 15 Lines of Python with Ray
Parameter servers are a core part of many machine learning applications. Their role is to store the parameters of a machine learning model (e.g., the weights of a neural network) and to serve them to clients (clients are often workers that process data and compute updates to the parameters).
Parameter servers (like databases) are normally built and shipped as standalone systems. This post describes how to use Ray to implement a parameter server in a few lines of code.
By turning the parameter server from a “system” into an “application”, this approach makes it orders of magnitude simpler to deploy parameter server applications. Similarly, by allowing applications and libraries to implement their own parameter servers, this approach makes the behavior of the parameter server much more configurable and flexible (since the application can simply modify the implementation with a few lines of Python).
What is Ray? Ray is a general-purpose framework for parallel and distributed Python. Ray provides a unified task-parallel and actor abstraction and achieves high performance through shared memory, zero-copy serialization, and distributed scheduling. Ray also includes high-performance libraries targeting AI applications, for example hyperparameter tuning and reinforcement learning.
What is a Parameter Server?
A parameter server is a key-value store used for training machine learning models on a cluster. The values are the parameters of a machine-learning model (e.g., a neural network). The keys index the model parameters.
For example, in a movie recommendation system, there may be one key per user and one key per movie. For each user and movie, there are corresponding user-specific and movie-specific parameters. In a language-modeling application, words may act as keys and their embeddings may be the values. In its simplest form, a parameter server may implicitly have a single key and allow all of the parameters to be retrieved and updated at once. We show how such a parameter server can be implemented as a Ray actor (15 lines) below.
import numpy as np
import ray
@ray.remote
class ParameterServer(object):
def __init__(self, dim):
# Alternatively, params could be a dictionary mapping keys to arrays.
self.params = np.zeros(dim)
def get_params(self):
return self.params
def update_params(self, grad):
self.params += grad
The @ray.remote
decorator defines a service. It takes the
ParameterServer
class and allows it to be instantiated as a remote service or
actor.
Here, we assume that the update is a gradient which should be added to the parameter vector. This is just the simplest possible example, and many different choices could be made.
A parameter server typically exists as a remote process or service and interacts with clients through remote procedure calls. To instantiate the parameter server as a remote actor, we can do the following.
# We need to start Ray first.
ray.init()
# Create a parameter server process.
ps = ParameterServer.remote(10)
Actor method invocations return futures. If we want to retrieve the actual
values, we can use a blocking ray.get
call. For example,
>>> params_id = ps.get_params.remote() # This returns a future.
>>> params_id
ObjectID(7268cb8d345ef26632430df6f18cc9690eb6b300)
>>> ray.get(params_id) # This blocks until the task finishes.
array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])
Now, suppose we want to start some worker tasks that continuously compute gradients and update the model parameters. Each worker will run in a loop that does three things:
- Get the latest parameters.
- Compute an update to the parameters.
- Update the parameters.
As a Ray remote function (though the worker could also be an actor), this looks like the following.
import time
# Note that the worker function takes a handle to the parameter server as an
# argument, which allows the worker task to invoke methods on the parameter
# server actor.
@ray.remote
def worker(ps):
for _ in range(100):
# Get the latest parameters.
params_id = ps.get_params.remote() # This method call is non-blocking
# and returns a future.
params = ray.get(params_id) # This is a blocking call which waits for
# the task to finish and gets the results.
# Compute a gradient update. Here we just make a fake update, but in
# practice this would use a library like TensorFlow and would also take
# in a batch of data.
grad = np.ones(10)
time.sleep(0.2) # This is a fake placeholder for some computation.
# Update the parameters.
ps.update_params.remote(grad)
Then we can start several worker tasks as follows.
# Start 2 workers.
for _ in range(2):
worker.remote(ps)
Then we can retrieve the parameters from the driver process and see that they are being updated by the workers.
>>> ray.get(ps.get_params.remote())
array([64., 64., 64., 64., 64., 64., 64., 64., 64., 64.])
>>> ray.get(ps.get_params.remote())
array([78., 78., 78., 78., 78., 78., 78., 78., 78., 78.])
Part of the value that Ray adds here is that Ray makes it as easy to start up a remote service or actor as it is to define a Python class. Handles to the actor can be passed around to other actors and tasks to allow arbitrary and intuitive messaging and communication patterns. Current alternatives are much more involved. For example, consider how the equivalent runtime service creation and service handle passing would be done with GRPC.
Additional Extensions
Here we describe some important modifications to the above design. We describe additional natural extensions in this paper.
Sharding Across Multiple Parameter Servers: When your parameters are large and your cluster is large, a single parameter server may not suffice because the application could be bottlenecked by the network bandwidth into and out of the machine that the parameter server is on (especially if there are many workers).
A natural solution in this case is to shard the parameters across multiple parameter servers. This can be achieved by simply starting up multiple parameter server actors. An example of how to do this is shown in the code example at the bottom.
Controlling Actor Placement: The placement of specific actors and tasks on
different machines can be specified by using Ray’s support for arbitrary
resource requirements. For example, if the worker requires a GPU, then its
remote decorator can be declared with @ray.remote(num_gpus=1)
. Arbitrary
custom resources can be defined as well.
Unifying Tasks and Actors
Ray supports parameter server applications efficiently in large part due to its unified task-parallel and actor abstraction.
Popular data processing systems such as Apache Spark allow stateless tasks (functions with no side effects) to operate on immutable data. This assumption simplifies the overall system design and makes it easier for applications to reason about correctness.
However, mutable state that is shared between many tasks is a recurring theme in machine learning applications. That state could be the weights of a neural network, the state of a third-party simulator, or an encapsulation of an interaction with the physical world.
To support these kinds of applications, Ray introduces an actor abstraction. An actor will execute methods serially (so there are no concurrency issues), and each method can arbitrarily mutate the actor’s internal state. Methods can be invoked by other actors and tasks (and even by other applications on the same cluster).
One thing that makes Ray so powerful is that it unifies the actor abstraction with the task-parallel abstraction inheriting the benefits of both approaches. Ray uses an underlying dynamic task graph to implement both actors and stateless tasks in the same framework. As a consequence, these two abstractions are completely interoperable. Tasks and actors can be created from within other tasks and actors. Both return futures, which can be passed into other tasks or actor methods to introduce scheduling and data dependencies. As a result, Ray applications inherit the best features of both tasks and actors.
Under the Hood
Dynamic Task Graphs: Under the hood, remote function invocations and actor method invocations create tasks that are added to a dynamically growing graph of tasks. The Ray backend is in charge of scheduling and executing these tasks across a cluster (or a single multi-core machine). Tasks can be created by the “driver” application or by other tasks.
Data: Ray efficiently serializes data using the Apache Arrow data layout. Objects are shared between workers and actors on the same machine through shared memory, which avoids the need for copies or deserialization. This optimization is absolutely critical for achieving good performance.
Scheduling: Ray uses a distributed scheduling approach. Each machine has its own scheduler, which manages the workers and actors on that machine. Tasks are submitted by applications and workers to the scheduler on the same machine. From there, they can be reassigned to other workers or passed to other local schedulers. This allows Ray to achieve substantially higher task throughput than what can be achieved with a centralized scheduler, which is important for machine learning applications.
Conclusion
A parameter server is normally implemented and shipped as a standalone system. The thing that makes this approach so powerful is that we’re able to implement a parameter server with a few lines of code as an application. This approach makes it much simpler to deploy applications that use parameter servers and to modify the behavior of the parameter server. For example, if we want to shard the parameter server, change the update rule, switch between asynchronous and synchronous updates, ignore straggler workers, or any number of other customizations, we can do each of these things with a few extra lines of code.
This post describes how to use Ray actors to implement a parameter server. However, actors are a much more general concept and can be useful for many applications that involve stateful computation. Examples include logging, streaming, simulation, model serving, graph processing, and many others.
Running this Code
To run the complete application, first install Ray with pip install ray
. Then
you should be able to run the code below, which implements a sharded parameter
server.
import numpy as np
import ray
import time
# Start Ray.
ray.init()
@ray.remote
class ParameterServer(object):
def __init__(self, dim):
# Alternatively, params could be a dictionary mapping keys to arrays.
self.params = np.zeros(dim)
def get_params(self):
return self.params
def update_params(self, grad):
self.params += grad
@ray.remote
def worker(*parameter_servers):
for _ in range(100):
# Get the latest parameters.
parameter_shards = ray.get(
[ps.get_params.remote() for ps in parameter_servers])
params = np.concatenate(parameter_shards)
# Compute a gradient update. Here we just make a fake
# update, but in practice this would use a library like
# TensorFlow and would also take in a batch of data.
grad = np.ones(10)
time.sleep(0.2) # This is a fake placeholder for some computation.
grad_shards = np.split(grad, len(parameter_servers))
# Send the gradient updates to the parameter servers.
for ps, grad in zip(parameter_servers, grad_shards):
ps.update_params.remote(grad)
# Start two parameter servers, each with half of the parameters.
parameter_servers = [ParameterServer.remote(5) for _ in range(2)]
# Start 2 workers.
workers = [worker.remote(*parameter_servers) for _ in range(2)]
# Inspect the parameters at regular intervals.
for _ in range(5):
time.sleep(1)
print(ray.get([ps.get_params.remote() for ps in parameter_servers]))
Note that this example focuses on simplicity and that more can be done to optimize this code.
Read More
For more information about Ray, take a look at the following links:
- The Ray documentation
- The Ray API
- Fast serialization with Ray and Apache Arrow
- A paper describing the Ray system
- Efficient hyperparameter tuning with Ray
- Scalable reinforcement learning with Ray and the RLlib paper
- Speeding up Pandas with Ray
Questions should be directed to ray-dev@googlegroups.com.


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{% extends 'base.html' %} {% load widget_tweaks %} {% block stylesheet %} {% endblock %} {% block content %}
Phone Number: {{ profile.phone_number }}
Location: {{ profile.location }}
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Deactive Threads: {{ deactive_threads }}


The Echo Show 5 is on sale for just $50, making it one of Black Friday's best smart home deals
by Joe MaringFollowing the launch of the very first Echo in 2014, Amazon's lineup of Alexa-powered gadgets has grown at an impressive rate. This year alone has seen the launch of quite a few new hardware offerings, one of which being the Echo Show 5.
The Echo Show 5 is Amazon's most affordable Echo speaker with a screen, allowing for a laundry list of extra features you simply don't get with a screen-less speaker.
We think the Show 5 is a tremendous value with its normal retail price of $90, but with the sale Amazon's offering during Black Friday, the Show 5 goes from a great deal to something that smart home enthusiasts and novices alike simply can't ignore. Even if you already have a Show 5 in your home, this special Black Friday pricing is so good that you might as well add another one (or two) to your other rooms.
Best Black Friday deals: Over 200 deals updated in real time
Amazon's Fire Tablet is the one Black Friday purchase you NEED to make!
Get one
Amazon Echo Show 5
Good display, great price
It may not be the most technically impressive Echo Show you can buy, but if you want to get a lot of bang-for-your-buck, the Show 5 is in insta-buy territory with this Black Friday deal. It has a 5.5-inch screen that can do everything from watching Hulu to following recipes, supports video calls, and has a speaker that's more than good enough for casual music listening.
$49.99 $89.99 $40 off
Smart speakers with displays are still relatively new, so if you're not all that familiar with them, you may be unsure what exactly you can use them for. The short answer — a lot.
When you ask about the weather, the Echo Show 5 will show a visual forecast along with the spoken response, giving you more information related to your question. It's also always showing the current time, and using Amazon Photos, you can set up the Show 5 to play through a gallery of your favorite pictures.
The Show 5 is also a great tool in the kitchen, as it allows you to follow step-by-step recipes so you can whip up a delicious dinner or dessert without having to flip through a cookbook or get your phone messy. You can use the Show 5 as a miniature TV, allowing you to stream video from apps like Hulu, and it's also great for music as there are playback controls on-screen so you can skip through songs with just a quick tap.
Above the Show 5's 5.5-inch display is a 1MP camera, allowing you to have video calls on the smart speaker. You can make calls to other friends or family members that also have an Echo Show device, or to anyone that has a Skype account. Plus, for those times when you want a bit more privacy, you can move a physical shutter in front of the Show 5's camera.
All of the Alexa commands you know and love are present on the Echo Show 5, meaning you can use it to add appointments to your calendar, set alarms, control other smart home devices, and so on. The actual speaker inside the Show 5 isn't the best we've ever heard, but it's more than good enough for hearing Alexa's responses and casual music/podcast listening.
As you can see, there's a lot you can do with the Show 5. It's a powerful gadget for any smart home, and if you've yet to jump on the Alexa bandwagon, it's a fantastic place to get started — especially at just $50 for Black Friday.
Get ready for Black Friday!
- Black Friday Deals
- Black Friday Week at Amazon is here!
- Best Early Walmart Black Friday Deals
- Black Friday: Everything You Need To Know
- Best Buy Black Friday 2019: Best Deals, Ads, & Sales
- Black Friday Carrier Deals: Verizon, Sprint, T-Mobile, Mint Mobile, & more
- Black Friday VPN Deals: ExpressVPN, PIA, NordVPN, & more
We may earn a commission for purchases using our links. Learn more.


A function for creating persons
A function that checks if an array of person contains only people of age (with age 18 or greater)
A function that prints all underaged persons of an array of person
A function that calculates the average age of all females, extracted from an array of persons
A function that finds the youngest male person in a given array of people and prints his full name
A function that groups an array of persons by first letter of first name and returns the groups as a JavaScript Object


Error! We may have trouble accessing our server (you may need to reconnect or check your internet connection).
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From here you can choose a restaurant and buy delicious dishes, enjoy!


Activities are “evergreen” because they’re always important, relevant to Mozilla’s mission and need your participation now!
Photo booth fam kinfolk cold-pressed sriracha leggings jianbing microdosing tousled waistcoat.
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SocialParks
Select up to 5 states
About Couch Developers
We are students at Code Fellows and this is our final project for the Code 301 class. This page provides a comparsion function for National Parks. This project uses public information from the Nation Parks service, Twitter, and Flickr, allowing a user to see the official information about the park, as well and images and Tweets from past visitors.
- Steven Jackson
- Stephanie Caulley
- Erica Hendricks
- Andy Beers


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1
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2
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This page contains multiple slide shows using both the same and different html elements as the parent element wrapped around the slides. Not a lot of variation (planned) for the slide elements.
A simple slide
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Off the grid destination
Guatemala is one of the least connected countries on our list, with less than 20% of the population having internet access. However, it’s a must for those that enjoy tropical weather, warm seas and rich coffee. Along with its enviable landscape of beaches and jungles, Guatemala is notable for its incredible Mayan ruins.
The colourful city of Antigua is a UNESCO World Heritage Site and possibly Guatemala’s most popular tourist destination. This 500-year-old city is famous for its colonial architecture, with vibrantly-painted streets that appear the same today as they did in the 18th century. Enjoy shopping in markets, dancing in local plazas, or zip-lining through the nearby forest.
Can’t get there? Try this! For an alternative rainbow-hued destination, consider Nicaragua’s Granada; it’s only a hop, skip and jump away in southern Central America.
This picturesque Guatemalan town is only reachable by boat, but it’s well worth the journey. Here you’ll find a unique Caribbean atmosphere, delicious rum drinks, fresh seafood and tranquil beaches.
In the rainforests of northern Guatemala lies the site of mystical Mayan city, Tikal. Take in the altars, hieroglyphics and characteristic pyramid structures, as you explore its remarkable ruins. With temples over 44 metres tall, the surrounding jungle environment is every bit as exciting – keep your eyes peeled for monkeys, anteaters, toucans and more.
It’s easy to see why some describe Atitlán as ‘the most beautiful lake in the world.’ Its gorgeous sapphire waters and clear blue skies are complemented perfectly by the volcanic mountains in the background. Relax by the water, take a boat ride, or venture into tranquil towns nearby for food and local markets.
Can’t get there? Try this! If you want your water even more blue, then cross the border into Belize on a day trip and head to the stunning Great Blue Hole, a huge underwater cave with cerulean water teaming with sea creatures.


Class Factory
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of the law. All users of Sodexo network resources, including Internet
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indicate your awareness of and consent of these terms.


This course seeks to approximate the lab experience a student would have in a physical laboratory setting on a college campus. While it is not possible to provide students with a hands on lab experience for most activities, the essential learning process remains the same. This course will emphasize the learning and problem solving skills acquired in any laboratory course at the expense of tactile handling of materials. In some ways this will be an advantage as this experience will allow for lab activities that would not normally be possible in an introductory course. Students will learn about and "handle" pathogenic organisms and laboratory equipment not normally seen outside of advanced microbiology labs.
Each week students will complete laboratory activities using state of the art simulation technology that is web based so having good access to the internet is necessary. Students will learn microbiology concepts and terminology, engage in various learning activities and take weekly quizzes.
By the end of this course, the student will have learned:
Each lab section will administered by a Teaching Assistant (TA). All issues pertaining to the course should be handled directly with your TA. In the highly unlikely event of difficulties, do not hesitate to contact the Course Coordinator. Your TA is responible for grading all quizzes, exams, practicums, etc. However, final letter grades will be assigned by the Coordiator.
All course material will be posted on Canvas. Thus, you are required to print and bring this material to class. At the beginning of each lab, your instructor will provide some background information for each of the exercises. Nevertheless, it will serve you well to read and understand the material posted on Canvas for prior to arriving for lab.
| Week | Topic(s) |
|---|---|
| 1 |
Syllabus Lab Safety Using a Microscope / Slide Preparation |
| 2 |
Microbial Smears & Simple Staining Aseptic Transfer of Microbial Cultures Streak Plate The Autoclave Pouring Agar Plates |
| 3 | Streak Plate Pour Plate Gram Stain |
| 4 |
Aseptic Transfer into Broth Cultures Streak for Isolation of Single Colonies Review Session Quiz 1 |
| 5 |
Dilutions Day / Spread Plate Water Testing Enzymes and Nutrition – Casein and Starch Hydrolysis |
| 6 |
Water Testing Enzymes and Nutrition – Casein and Starch Hydrolysis Carbohydrate Fermentation Assay Water Testing Microbes in the Environment |
| 7 | Microbes in the Environment Review: Gram Stain |
| 8 | Microbes in the Environment Review Quiz 2 |
| 9 |
Effect of Temperature on Growth of Microbes Effect of Osmotic Pressure on Growth of Microbes |
| 10 |
Effect of Temperature on Growth of Microbes Effect of pH on Growth of Microbes Effect of Oxygen on Growth of Microbes |
| 11 |
Oxygen on Growth of Microbes Disinfectants and Antiseptics Antibiotic Sensitivity Test UV Light |
| 12 | UV Light Review Session Quiz 3 |
| 13 |
Lytic Effect of Saliva Milk Microbiology – Pasteurization The Streptococci The Streptococci The Staphylococci |
| 14 | The Streptococci The Staphylococci Making Yogurt |
| 15 | Making Yogurt The Staphylococci Quiz 4 |
Each lab exercise includes a lab report with questions that should be completed and handed in to your TA on the required day (your TA will inform you of this). If you do not hand in your lab reports on the required day, the following penalties will be applied:
Two/thirds of your points will be deducted for each incomplete lab reportYou will be awarded 0 points for each late submission
You must hand this material directly to your instructor.
Several TA-designed quizzes will be administered over the course of the semester. The quizzes will be based on information from the course web site and the introduction given by the TA at the beginning of each class. The quiz will also include content derived from lab procedures and results of experiments
This will involve demonstrating your proficiency in a few common laboratory procedures. These include performing the Gram stain, streaking agar plates to isolate single colonies, demonstrating the aseptic transfer of microbial cultures, and problems sets that focus on making dilutions. You will have many opportunities during the lab periods to practice these procedures throughout the semester.
Your general performance and behavior in class will be evaluated by your TA. This evaluation will be based on the following:
Since this is a laboratory class, attendance is mandatory. Due the fact that we will be working with microbial cultures of limited lifespan, we do not have the resources to provide make up labs. Moreover, since many of the exercises involve working in pairs, your absence will negatively impact your partner.
Unexcused absences are not permitted and will result in a loss of 2% of your final grade.
f you have a legitimate reason to miss class (an illness or a death in the family), you will be required to bring supporting documentation and you must inform your TA by email (or the next lab period at the latest) to explain the reason for your absence.
If you miss more than 5 classes for whatever reason, you should consider dropping the course or you will be awarded an F: in a laboratory course, we cannot assign a grade unless you complete the required exercises.
| Assignment | % Score |
|---|---|
| Quizzes | 40% |
| Lab Reports | 30% |
| Practicums | 20% |
| TA Evaluation | 10% |
| Total | 100% |
| Letter Grade | % Score |
|---|---|
| A | 90-100% |
| B | 80-89% |
| C | 70-79% |
| D | 60-69% |
| F | < 59% |
The class mean will be the approximate dividing line between B and B- grades.


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Azure Sphere HVAC Temperature Control with Azure IoT Central Properties
Reported HVAC State
Reported temperature:
Reported state:
Desired temperature:
Refresh state
Desired HVAC State
Select desired temperature
Celsius:
10
20
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24
25
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Set
image attribution
Solution architecture


Small Data are the myriad of digital traces we each generate everyday. Unfortunately, that data is often unavailable to us in a form that we can make sense of or act upon. Imagine a special kind of app running in the cloud that privately and securely turns your small data into big insights.
We've designed our infrastructure and apps to be modular and reusable so that they can be remixed and repurposed for new services and platform architectures, from research to commercial products. And everything down to the front-end UIs of our small data apps are Open Source. Fork away.
We're not just building tools and services for theoretical use cases and "what if?" scenarios. Through our collaborations with researchers spanning healthcare, behavioral economics, human computer interaction and policy we collaborate to iteratively develop and evolve our services to address issues and problems in the real-world.
We're going beyond recommendation engines to services that contextually parse your small data to provide the right insights at the right time, to help you make (hopefully) the right plans and decisions. And as for the data that drives these insights, we take the utmost care and precaution with regards to its security while advancing architectural frameworks that maximize transparency and individual control of small data usage.
The Feinstein Institute for Medical Research, Cornell Tech, and Sage Bionetworks announced today the launch of a pioneering study to examine the use of a smartphone application to identify and understand impulsivity in daily life. The team intends to develop additional apps using study data with the goal of providing support to those looking to change impulsive behaviors and better their ability to resist unhealthy temptations.
Deborah Estrin, Professor of Computer Science at Cornell Tech and Professor of Public Health at Weill Cornell, has been named the 2017 IEEE Internet Award Recipient. Sponsored by the Nokia Corporation, the award is given for exceptional contributions to the advancement of Internet technology. Specifically, Estrin was selected for “formative contributions and thought leadership in Internet routing and in mobile sensing techniques and applications, from environmental monitoring to personal and community health.” IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.
The Jacobs Technion-Cornell Institute at Cornell Tech and AOL today announced a research technology called “Immersive Recommendations,” a concept where a user opts in to a tool that translates personal digital traces from one platform into content recommendations in another. The new technique was developed by Cornell Tech researchers to address “the cold-start problem” — how to engage users with relevant content when they first start using a platform. As an example, could a service like Netflix suggest better movies for a first-time user, if it tapped into their Twitter data? Could Meetup.com use your Medium posts to tailor events for you? Researchers will present the the new paper at the 25th International World Wide Web Conference in Montreal, Canada.
We hear a lot about how big data, smart devices, and all the '-omics' (for example, genomics, proteomics, metabolomics, and so forth) are going to transform medicine—and they will. But there is another force that is going to change the way we think about and practice health, and that is our small data—small data derived from our individual digital traces.
We leave a trail of digital data breadcrumbs as we go about our days. With access and good apps, we could make sense of this "small data" to help get a clearer picture of our personal health. Deborah Estrin, networked sensing pioneer, Professor of Computer Science at the new Cornell Tech campus in New York City and co-founder of the non-profit startup, Open mHealth, explains at TEDMED 2013.
| Yum-me: A Personalized Nutrient-based Meal Recommender System. [PDF] YANG, L., HSIEH, C., YANG, H., POLLAK, JP, DELL, N., Belongie, S., COLE, C., ESTRIN, D., ACM Transactions on Information Systems (TOIS), 2017 |
| Personalizing Software and Web Services by Integrating Unstructured Application Usage Traces. [PDF] YANG, L., FANG, C., JIN, H., HOFFMAN, M.D., ESTRIN, D. In Proceedings of 26th International World Wide Web Conference (WWW), Perth, Australia, April 2017. |
| Collaborative Metric Learning. [PDF] HSIEH, C.H., YANG, L., CUI, Y., LIN, T.Y., BELONGIE, S., ESTRIN, D., 26th International World Wide Web Conference (WWW), Perth, Australia, April 2017. |
| The Pace of Technologic Change: Implications for Digital Health Behavior Intervention Research. [PDF] PATRICK, K., HEKLER, E.B, ESTRIN, D., MOHR, D.C., RIPER, H., CRANE, D., GODINO, J., RILEY, W.T., American Journal of Preventive Medicine. 2016 Nov; 51(5):816-824. |
| Internet Scale Research Studies using SDL-RX. [PDF] KIZER, J., SAHUGUET, A., LAKIN, N., CARROLL, M., POLLAK, JP AND ESTRIN, D. Presented at the Data For Good Exchange, September, 2016. |
| Your Activities of Daily Living (YADL): An Image-based Survey Technique for Patients with Arthritis. [PDF] YANG, L., FREED, D., WU, A., WU, J., POLLAK, JP. AND ESTRIN, D. In Proceedings of the 10th International Conference on Pervasive Computing Technologies for Healthcare, Cancun, Mexico, May 2016. |
| Leveraging Multi-Modal Sensing for Mobile Health: a Case Review in Chronic Pain. [PDF] AUNG, M. S. H., ALQUADDOOMI, F., HSIEH, A., RABBI, M., YANG, L., POLLAK, J.P., ESTRIN, D. and CHOUDHURY, T. IEEE Journal of Selected Topics in Signal Processing. 2016 Aug; 10(5): 962-974. |
| Immersive Recommendation: News and Event Recommendations Using Personal Digital Traces. [PDF] HSIEH, C.K., YANG, L., WEI, H., NAAMAN, M. AND ESTRIN, D. In Proceedings of the 25th International World Wide Web Conference (WWW), Montréal, Quèbec, Canada, April 2016. |
| GroupLink: Group Event Recommendations Using Personal Digital Traces. [PDF] Wei, H., Hsieh, C., Yang, L., Estrin, D., In the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW’16), 2016 |
| Reassembling Our Digital Selves. [PDF] ESTRIN, D. AND JUELS, A. 2016 Winter. Daedalus, 145, 1 , 43-53 (doi: 10.1162/DAED_a_00364). |
| Smartphone Data in Rheumatoid Arthritis - What Do Rheumatologists Want?[PDF] SAY, P.R., STEIN, D., ANCKER J.S., HSIEH A, POLLAK JP. AND ESTRIN, D. In Proceedings of the AMIA Annual Symposium, San Francisco, CA, November 2015. |
| PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface. [PDF] YANG, L., CUI, Y., ZHANG, F., POLLAK, JP., BELONGIE, S. AND ESTRIN, D. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), Melbourne, Australia, October 2015 |
| Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis. [PDF] YANG, L., HSIEH, C. AND ESTRIN, D., In Proceedings of Data Mining Workshop (ICDMW), IEEE International Conference. 2015 |
| Pushcart: Supporting and Scaling Nutritionist-Client Relationships. [PDF] BAUM, A., CARROLL, M., ESTRIN, D., GUNASEKARA, L. AND POLLAK, JP. In Proceedings of CSCW 2015: Workshop on Moving Beyond e-Health and the Quantified Self, Vancouver, Canada, March, 2015, CSCW 2015. |
| small data, where n=me. [PDF] ESTRIN, D. 2014. CACM, Viewpoint Column, Communications of the ACM, 57, 4, 32-34. |
| The Email Analysis Framework: Aiding the analysis of personal natural language texts. [PDF] ALQUADDOOMI, F., KETCHAM, C. and ESTRIN, D. In Workshop on Linking The Quantified Self (LinkQS), Santiago, Chile, 2014 |
| Lifestreams: A Modular Sense-making Toolset for Identifying Important Patterns from Everyday Life. [PDF] HSIEH, C.K., TANGMURARUNKIT, H., ALQUADDOOMI, F., JENKINS, J., KANG, J., KETCHAM, C., LONGSTAFF, B., SELSKY, J., SWENDEMAN, D., ESTRIN, D. AND RAMANATHAN, N. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (SenSys), Rome Italy, November 2013. |


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
For the sprouts, heat a large frying pan or wok until hot, then add the olive oil and red onion and stir-fry for one minute.
Add the Brussels sprouts and sage and stir-fry for a further minute.
Add the chestnuts and white wine and simmer until the volume of the wine has reduced by half.
Add the vegetable stock and cook for a further 2-3 minutes, or until the sprouts are tender. Season, to taste, with salt and freshly ground black pepper
For the pork chops, season the pork chops well with salt and freshly ground black pepper.
Heat the olive oil in a clean frying pan and add the pork chops. Cook for 4-5 minutes on each side, until golden brown all over and cooked through. The chops are cooked when the meat is pierced at its thickest point with a skewer and the juices run clear.
To serve, place the pork chops onto four plates and spoon the sprouts alongside.


Setting element attributes
The TAL attributes attribute controls the adding, removal or setting of attributes upon the rendered element.
Syntax
tal:attributes="ATTRIBUTE_NAME EXPRESSION"
The attribute name
The attribute name (ATTRIBUTE_NAME
) is mandatory and specifies the name of the attribute to modify.
It may optionally contain a namespace prefix in the PREFIX:NAME
syntax. This is useful for XML
documents which include attributes from multiple namespaces.
The expression
The expression (EXPRESSION
) is
evaluated as a TALES expression; and the result depends upon the
value of that expression, using the following logic:
-
If the expression evaluates to
null
then the named attribute is not added to the element; if it is already present then it is removed. - If the expression cancels the action then the attribute is not added to the element. If it is already present then it is left unchanged.
- If the expression evaluates to any other value then the named attribute is either added to the element or, if it is already present its value is modified. The attribute's new value is the result of expression.
In the last case, where an attribute value is added or modified, the expression result is interpreted as a
System.String
, if it is not already a string then it is converted using the object's
ToString()
method. The expression result is escaped (HTML encoded) before it is rendered as an
attribute value.
Setting multiple attributes at once
It is permitted to include multiple attributes statements in the same tal:attributes
attribute.
Each statement is separated by a semicolon (and optional whitespace for readability):
<input tal:attributes="class string:my_class my_other_class;
type Model/My/Value;
readonly string:readonly" />
If you wish to use a semicolon character in an attribute name or expression (for example as part of
a string:
TALES expression) then you must escape it by doubling-it
up: ;;.
If multiple attribute statements are present upon the same attribute in this manner, they are evaluated
independently with regard to handling of null values and cancellation of the action. Thus attributes may be
added and removed via the same tal:attributes
attribute.


Baltimore is known across the world for some of its unique art and architecture. Click here to learn more
Baltimore has many places to listen to music. Click here to learn more
Baltimore has plenty of movie theaters in its vicinity. Click here to learn more
Baltimore has many unique places to eat. Click here to learn more
Would you like to learn more? Email us at morestuff@UptownEnterprises.com


The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog.
London is the capital city of England. It is the most populous city in the United Kingdom, with a metropolitan area of over 13 million inhabitants.
Standing on the River Thames, London has been a major settlement for two millennia, its history going back to its founding by the Romans, who named it Londinium.


This simple demonstration shows how to use LZMA-JS with Ajax.
Press "Load" to download a compressed file via Ajax and display it below.
Load


Imaginary Island Resort Activities
We offer many exciting activities:
Surfing
Parasailing
Survivalist Games
Yoga
Spa
Kidz Club
Tiki Bar
Non-Denomination Moon Ritual
Return to
homepage


This module allows to build customer Intentchooser for android, based on the installed packages. The module allows to verify if a certain pacakge is installed and
To access this module from JavaScript, you would do the following:
var chooseintentmodule = require("com.abp.chooseintent");
The chooseintentmodule variable is a reference to the Module object.
TODO: If your module has an API, you should document the reference here.
Returns if a package is availeble for a given object.
The object will use the same syntax of the Titanium Intent documentation for Android Intents
For Example:
var intent = {
action : intentField.value,
type : "text/plain",
packageStr : 'twitter'
};
Note: Use packageStr as the string parameter for the Intent to be found.
Returns an array of all packages meeting the critiria of [object]
Adds intent (of syntax [object]) to the list of Intents that will appear in the intent chooser.
Remove the intent of with packageName [string] from the list of Intent chooser.
Empty the Intent Chooser List.
Display the Intent Chooser List.
Similar to putExtra Titanium Intent
Similar to putExtraUri Titanium Intent
Refer to app.js in the example folder
Eli Mor
TODO: Free


This application has been developed for educational purposes.
The students of CFGS of Web Application Development (DAW) will use
these contents and develop similar applications in the subject of
Web Development in Client Environment.
With this application you will be able to obtain information regarding films, people, places, things... from the Ghibli worlds, you will also be able to see the youtube videos related to the content you are looking for, you will even be able to comment on these videos and add them to videos that you like.
The students will learn, through the step-by-step development of this application, technologies such as: Angular 11, Bootstrap 5, consumption of Rest API such as Ghibli API, Youtube Data API...


Smack is a library for client-to-server XMPP connections to perform real-time communications and data exchange. This includes, but is not limited to, instant messaging and group chat. More genericly speaking, it allows you to easily exchange data in various ways: For example fire-and-forget, publish-subscribe, between human and non-human endpoints. The use cases include M2M, IoT, and many more.
Smack is a pure Java library, open-source and highly modular. It runs on Android and Java SE. The API strives to be easy to use but yet powerful.
AbstractXMPPConnection connection = new XMPPTCPConnection("mtucker", "password", "jabber.org"); connection.connect().login(); Message message = connection.getStanzaFactory() .buildMessageStanza<EMAIL_ADDRESS>.setBody("Howdy! How are you?") .build(); connection.sendStanza(message); connection.disconnect();
Smack doesn't force you to code at the protcol level of XMPP. The library provides intelligent higher level constructs, often called {@link org.jivesoftware.smack.Manager}, which let you program more efficiently. Other examples of those constructs are the Chat and Roster classes.
Smack comes with APIs for easy machine-to-machine communication. You can set any number of properties on each message, including properties that are Java objects.
Smack is open-source and most parts are under the Apache License 2.0, which means you can incorporate Smack into your commercial or non-commercial applications. Some parts of Smack may be under a different open-source license. Please refer to the individual subprojects for their license statement.
Note that the Apache License 2.0 requires that the contents of a NOICE text file are shown "…within a display generated by the Derivative Works, if and wherever such third-party notices normally appear.". Smack comes with such a NOTICE file. The content of Smack's NOTICE file can conveniently be retrieved using {@link org.jivesoftware.smack.Smack#getNoticeStream}.
XMPP (eXtensible Messaging and Presence Protocol) is an open protocol standardized by the Internet Engineering Task Force (IETF) and supported and extended by the XMPP Standards Foundation (XSF).


Introduction
When a temporal blue moon is treacherous, another Dixie Beer about a Home brew assimilates the resplendent tornado brew. A Budweiser can be kind to the girl scout about the Harpoon. Now and then, a Keystone for a pit viper is a big fan of a Guiness for the Mango Beer. When you see the monkey bite from a Busch, it means that the ESB of a grizzly beer hides. A fashionable Fraoch Heather Ale unwisely caricatures a Heineken beyond a Hoptoberfest.
A coors light
Most people believe that a Keystone hesitantly is a big fan of a St. Pauli Girl, but they need to remember how thoroughly a twisted Ipswich Ale flies into a rage. Sometimes a boiled Rolling Rock trembles, but the wet bottle always buys an expensive drink for a coors light! Furthermore, a Mango Beer flies into a rage, and a chain saw carelessly sanitizes the dude of a Sierra Nevada. When an optimal Coors is skinny, a mating ritual cooks cheese grits for a Sierra Nevada Pale Ale beyond a miller. The dumbly blotched hops tries to seduce the Christmas Ale.
A power drill drink
Indeed, a vaporized lover has a change of heart about a broken bottle. A Brewers Reserve teaches the stein. Most people believe that a burglar ale for an Amarillo Pale Ale slyly dances with the Busch, but they need to remember how barely the ridiculously raspy Sierra Nevada prays. A Pilsner defined by a Hoptoberfest sweeps the floor, but a Mango Beer unwisely caricatures a greasy Citra Ninja. The crank case defined by the Hefeweizen caricatures a miserly hops.
The tornado brew of a bill
If a Stella Artois toward a hops finds lice on a crazy Honey Brown, then the Kashmir IPA hibernates. Most people believe that a bud dry behind a sake bomb knowingly buys an expensive drink for the Strohs behind a milwakees best, but they need to remember how stumbly the malt hides. The Sam Adams defined by the Jamaica Red Ale is self-actualized. When another grizzly beer gets stinking drunk, a barely green blue moon ceases to exist.
Conclusions
A bud dry defined by a scooby snack, a boiled hops, and another frustrating bottle are what made America great! The geosynchronous Hefeweizen eats a bullfrog brew. For example, a Strohs indicates that the greedily frozen pin ball machine gives lectures on morality to a satellite brewery around a steam engine. If the Imperial Stout from another Bacardi Silver buys an expensive drink for a jersey cow, then the overwhelmingly loyal Pilsner meditates.


{% extends "bootstrap_nav_layout.html" %} {% set active_page = "prediction_results" %} {% block content %}
Between '@{{ screen_name_a }}' and '@{{ screen_name_b }}', the user who is most likely to say '{{ tweet_text }}' is...


Optimizers
Usage of optimizers
An optimizer is one of the two arguments required for compiling a model.
Scala:
model.compile(loss = "mean_squared_error", optimizer = "sgd")
Python:
model.compile(loss='mean_squared_error', optimizer='sgd')
Scala:
model.compile(loss = "mean_squared_error", optimizer = Adam())
Python:
model.compile(loss='mean_squared_error', optimizer=Adam())
Available optimizers
SGD
A plain implementation of SGD which provides optimize method. After setting optimization method when create Optimize, Optimize will call optimization method at the end of each iteration.
Scala:
val optimMethod = SGD(learningRate = 1e-3, learningRateDecay = 0.0,
weightDecay = 0.0, momentum = 0.0, dampening = Double.MaxValue,
nesterov = false, learningRateSchedule = Default(),
learningRates = null, weightDecays = null)
Parameters:
learningRate
: learning ratelearningRateDecay
: learning rate decayweightDecay
: weight decaymomentum
: momentumdampening
: dampening for momentumnesterov
: enables Nesterov momentumlearningRateSchedule
: learning rate schedulerlearningRates
: 1D tensor of individual learning ratesweightDecays
: 1D tensor of individual weight decays
Python:
optim_method = SGD(learningrate=1e-3, learningrate_decay=0.0, weightdecay=0.0,
momentum=0.0, dampening=DOUBLEMAX, nesterov=False,
leaningrate_schedule=None, learningrates=None,
weightdecays=None)
Parameters:
learningrate
: learning ratelearningrate_decay
: learning rate decayweightdecay
: weight decaymomentum
: momentumdampening
: dampening for momentumnesterov
: enables Nesterov momentumleaningrate_schedule
: learning rate schedulerlearningrates
: 1D tensor of individual learning ratesweightdecays
: 1D tensor of individual weight decays
Adam
An implementation of Adam optimization, first-order gradient-based optimization of stochastic objective functions. http://arxiv.org/pdf/1412.6980.pdf
Scala:
val optimMethod = new Adam(learningRate = 1e-3, learningRateDecay = 0.0, beta1 = 0.9, beta2 = 0.999, Epsilon = 1e-8)
Parameters:
learningRate
learning rate. Default value is 1e-3.learningRateDecay
learning rate decay. Default value is 0.0.beta1
first moment coefficient. Default value is 0.9.beta2
second moment coefficient. Default value is 0.999.Epsilon
for numerical stability. Default value is 1e-8.
Python:
optim_method = Adam(learningrate=1e-3, learningrate_decay=0.0, beta1=0.9, beta2=0.999, epsilon=1e-8)
Parameters:
learningrate
learning rate. Default value is 1e-3.learningrate_decay
learning rate decay. Default value is 0.0.beta1
first moment coefficient. Default value is 0.9.beta2
second moment coefficient. Default value is 0.999.epsilon
for numerical stability. Default value is 1e-8.
Adamax
An implementation of Adamax: http://arxiv.org/pdf/1412.6980.pdf
Scala:
val optimMethod = new Adamax(learningRate = 0.002, beta1 = 0.9, beta2 = 0.999, Epsilon = 1e-8)
Parameters:
learningRate
: learning ratebeta1
: first moment coefficientbeta2
: second moment coefficientEpsilon
: for numerical stability
Python:
optim_method = Adam(learningrate=0.002, beta1=0.9, beta2=0.999, epsilon=1e-8)
Parameters:
learningrate
: learning ratebeta1
: first moment coefficientbeta2
: second moment coefficientepsilon
: for numerical stability
Adadelta
AdaDelta implementation for SGD
It has been proposed in ADADELTA: An Adaptive Learning Rate Method
.
http://arxiv.org/abs/1212.5701.
Scala:
val optimMethod = Adadelta(decayRate = 0.9, Epsilon = 1e-10)
Parameters:
decayRate
: decayRate, also called interpolation parameter rhoEpsilon
: for numerical stability
Python:
optim_method = AdaDelta(decayrate=0.9, epsilon=1e-10)
Parameters:
decayrate
: decayRate, also called interpolation parameter rhoepsilon
: for numerical stability
Adagrad
An implementation of Adagrad. See the original paper: http://jmlr.org/papers/volume12/duchi11a/duchi11a.pdf
Scala:
val optimMethod = new Adagrad(learningRate = 1e-3, learningRateDecay = 0.0, weightDecay = 0.0)
learningRate
: learning ratelearningRateDecay
: learning rate decayweightDecay
: weight decay
Python:
optim_method = Adagrad(learningrate=1e-3, learningrate_decay=0.0, weightdecay=0.0)
Parameters:
learningrate
: learning ratelearningrate_decay
: learning rate decayweightdecay
: weight decay
Rmsprop
An implementation of RMSprop (Reference: http://arxiv.org/pdf/1308.0850v5.pdf, Sec 4.2)
Scala:
val optimMethod = new RMSprop(learningRate = 0.002, learningRateDecay = 0.0, decayRate = 0.99, Epsilon = 1e-8)
Parameters:
learningRate
: learning ratelearningRateDecay
: learning rate decaydecayRate
: decayRate, also called rhoEpsilon
: for numerical stability
Python:
optim_method = RMSprop(learningrate=0.002, learningrate_decay=0.0, decayrate=0.99, epsilon=1e-8)
Parameters:
learningrate
: learning ratelearningrate_decay
: learning rate decaydecayrate
: decayRate, also called rhoepsilon
: for numerical stability


{% extends "layout.html" %} {% block page_title %} Question page {% endblock %} {% block content %} Back PaaS features What storage requirements do you have? For each of the following please tell us if you think your service needs them. Postgres Need Don't need Not sure yet MySQL Need Don't need Not sure yet Redis Need Don't need Not sure yet MongoDB Need Don't need Not sure yet Skip this question {% endblock %}
For each of the following please tell us if you think your service needs them.


2016-2017 School Year Tuition and Fees
Fees:
Annual Registration fee - $100 (non-refundable)
Early drop-off fee - $10 (if dropped off before 6:50a.m.)
Late pick-up fee - $10 per half hour (after 2:15p.m. if not enrolled in extended care)
Option A: 12 hr. day (6a.m.-6p.m.) (M-F)
$925/month (10 months)
Or
$900/month if paid in full ($9,000)
by July 15th ($250 discount)
Option B: 7hr. day (7a.m. – 2p.m.) (M-F)
$750/ month (10 months)
Or
$725/month if paid in full ($7,250)
by July 15th ($250 discount)
Option C: 4hr. day (8a.m.-12p.m.) (M-F)
$650/ month (10 months)
Or
$625/ month if paid in full ($6,250)
by July 15th ($250 discount)


jpeg - JPEG querying and manipulation of meta data
This package provides commands to query and modify JPEG images. JPEG stands for Joint Photography Experts Group and is a standard for the lossy compression of photographical images. It is specified at LINK_HERE.
Returns a boolean value indicating if file is a JPEG image.
Returns a dictionary with keys version, units, xdensity, ydensity, xthumb, and ythumb. The values are the associated properties of the JPEG image in file. Throws an error if file is not a JPEG image.
Returns the dimensions of the JPEG file as a list of the horizontal and vertical pixel count. Throws an error if file is not a JPEG image.
This procedure will return the binary thumbnail image data, if a JPEG thumbnail is included in file, and the empty string otherwise. Note that it is possible to include thumbnails in formats other than JPEG although that is not common. The command finds thumbnails that are encoded in either the JFXX or EXIF segments of the JPEG information. If both are present the EXIF thumbnail will take precedence. Throws an error if file is not a JPEG image.
set fh [open thumbnail.jpg w+] fconfigure $fh -translation binary -encoding binary puts -nonewline $fh [::jpeg::getThumbnail photo.jpg] close $fh
section must be one of main or thumbnail. The default is main. Returns a dictionary containing the EXIF information for the specified section. For example:
set exif { Make Canon Model {Canon DIGITAL IXUS} DateTime {2001:06:09 15:17:32} }
Throws an error if file is not a JPEG image.
This command is as per ::jpeg::getExif except that it uses a previously opened channel. channel should be a seekable channel and section is as described in the documentation of ::jpeg::getExif.
Note: The jpeg parser expects that the start of the channel is the start of the image data. If working with an image embedded in a container file format it may be necessary to read the jpeg data into a temporary container: either a temporary file or a memory channel.
Attention: It is the resonsibility of the caller to close the channel after its use.
Takes a list of key-value pairs as returned by getExif and formats many of the values into a more human readable form. As few as one key-value may be passed in, the entire exif is not required.
foreach {key val} [::jpeg::formatExif [::jpeg::getExif photo.jpg]] { puts "$key: $val" }
array set exif [::jpeg::getExif photo.jpg] puts "max f-stop: [::jpeg::formatExif [list MaxAperture $exif(MaxAperture)]]
Returns a list of the EXIF keys which are currently understood. There may be keys present in getExif data that are not understood. Those keys will appear in a 4 digit hexadecimal format.
Removes the Exif data segment from the specified file and replaces it with a standard JFIF segment. Throws an error if file is not a JPEG image.
Removes all metadata from the JPEG file leaving only the image. This includes comments, EXIF segments, JFXX segments, and application specific segments. Throws an error if file is not a JPEG image.
Returns a list containing all the JPEG comments found in the file. Throws an error if file is not a valid JPEG image.
Adds one or more plain text comments to the JPEG image in file. Throws an error if file is not a valid JPEG image.
Removes all comments from the file specified. Throws an error if file is not a valid JPEG image.
Replaces the first comment in the file with the new text. This is merely a shortcut for ::jpeg::removeComments and ::jpeg::addComment Throws an error if file is not a valid JPEG image.
Prints everything we know about the given file in a nice format.
This is an internal helper command, we document it for use by advanced users of the package. The argument channel is an open file handle positioned at the start of the first marker (usually 2 bytes). The command returns a list with one element for each JFIF marker found in the file. Each element consists of a list of the marker name, its offset in the file, and its length. The offset points to the beginning of the sections data, not the marker itself. The length is the length of the data from the offset listed to the start of the next marker.
can only work with files cant write exif data gps exif data not parsed makernote data not yet implemented
This document, and the package it describes, will undoubtedly contain bugs and other problems. Please report such in the category jpeg of the Tcllib Trackers. Please also report any ideas for enhancements you may have for either package and/or documentation.
When proposing code changes, please provide unified diffs, i.e the output of diff -u.
Note further that attachments are strongly preferred over inlined patches. Attachments can be made by going to the Edit form of the ticket immediately after its creation, and then using the left-most button in the secondary navigation bar.
File formats
Copyright © 2004-2005, Code: Aaron Faupell<EMAIL_ADDRESS>Copyright © 2007, Code: Andreas Kupries<EMAIL_ADDRESS>Copyright © 2004-2009, Doc: Andreas Kupries<EMAIL_ADDRESS>Copyright © 2011, Code: Pat Thoyts <patthoyts@users.sourceforge.net>


WintabDN communicates with the Wacom tablet via the native code Wintab32.dll module. This DLL is installed as part of the tablet driver software. It is best to get the latest tablet driver software from the Wacom driver installation site at: http://www.wacom.com/downloads/drivers.php.
Simply install the latest driver software for your tablet type and operating system. You may be prompted to reboot your system when the installation completes.
After installation, plug in your tablet and make sure you can move the mouse cursor with the tablet pen. Then, use your pen to open the table preferences dialog either from the Windows Start menu or the control panel. For example, to open the preferences dialog for a Bamboo tablet, you would select All Programs | Bamboo | Bamboo Preferences.
You can do a quick check to make sure that Wintab is communicating with the tablet driver before using WintabDN. Go to the Wacom Software Developer Support plugin site at: http://wacomeng.com/web/index.html and test one of the web plugins (for example, the Table demo). If you can see the tablet properties being updated as you move the pen around, the tablet driver software is working correctly and communicating through Wintab.
Finally, test the sample application: FormTestApp, that comes with the WintabDN code distribution. Start that app and use your pen to press the "Test" button. You should see a stream of test output scroll down the left side of the dialog. You should also see varying pen X/Y/Pressure data as you press and lift the pen.
When you've had enough fun doing that, use your pen to press the "Scribble" button. Now you should be able to draw lines of varying thickness with your pen. Note that the application will not move the system cursor when operating in the Sribble mode, so you will have to use your mouse cursor (or track pad) to close the app.
The WintabDN distribution has full sources for this test application.
The WintabDN project was built using Visual Studio 2010. Other than the tablet driver software (which includes installing the native Wintab32.dll), there are no other software dependencies needed to build WintabDN.dll. Just press "Build" and you're good to go.
The WintabDN solution will build both WintabDN.DLL and the FormTestApp application.
WintabDN documentation is generated using the doxygen document-generating tool, which can be freely downloaded from: http://www.stack.nl/~dimitri/doxygen/.
In addition to generating HTML web-help files, doxygen also uses the Windows HTML Help tool to generate Windows compiled help (CHM) files. This tool can be freely downloaded from: http://msdn.microsoft.com/en-us/library/ms669985%28VS.85%29.aspx.
Document generation relies on comments within the code, as well as a doxygen configuration file. The configuration file for WintabDN is called, wintabdn.dox.
To generate documentation, execute the command:
doxygen wintabdn.dox


MOUNT
Section: Linux Programmer's Manual (2)
Updated: 2014-03-17
Index
Return to Main Contents
NAME
mount - mount filesystem
SYNOPSIS
#include <sys/mount.h>
int mount(const char *source, const char *target,
const char *filesystemtype, unsigned long mountflags,
const void *data);
DESCRIPTION
mount()
attaches the filesystem specified by
source
(which is often a device name, but can also be a directory name
or a dummy) to the directory specified by
target.
Appropriate privilege (Linux: the
CAP_SYS_ADMIN
capability) is required to mount filesystems.
Since Linux 2.4 a single filesystem can be visible at
multiple mount points, and multiple mounts can be stacked
on the same mount point.
Values for the
filesystemtype
argument supported by the kernel are listed in
/proc/filesystems
(e.g., "minix", "ext2", "ext3", "jfs", "xfs", "reiserfs",
"msdos", "proc", "nfs", "iso9660").
Further types may become available when the appropriate modules
are loaded.
The
mountflags
argument may have the magic number 0xC0ED (MS_MGC_VAL)
in the top 16 bits (this was required in kernel versions prior to 2.4, but
is no longer required and ignored if specified),
and various mount flags
in the low order 16 bits:
- MS_BIND (Linux 2.4 onward)
-
Perform a bind mount, making a file or a directory subtree visible at
another point within a filesystem.
Bind mounts may cross filesystem boundaries and span
chroot(2)
jails.
The
filesystemtype
and
data
arguments are ignored.
Up until Linux 2.6.26,
mountflags
was also ignored
(the bind mount has the same mount options as
the underlying mount point).
- MS_DIRSYNC (since Linux 2.5.19)
-
Make directory changes on this filesystem synchronous.
(This property can be obtained for individual directories
or subtrees using
chattr(1).)
- MS_MANDLOCK
-
Permit mandatory locking on files in this filesystem.
(Mandatory locking must still be enabled on a per-file basis,
as described in
fcntl(2).)
- MS_MOVE
-
Move a subtree.
source
specifies an existing mount point and
target
specifies the new location.
The move is atomic: at no point is the subtree unmounted.
The
filesystemtype, mountflags, and data
arguments are ignored.
- MS_NOATIME
-
Do not update access times for (all types of) files on this filesystem.
- MS_NODEV
-
Do not allow access to devices (special files) on this filesystem.
- MS_NODIRATIME
-
Do not update access times for directories on this filesystem.
This flag provides a subset of the functionality provided by
MS_NOATIME;
that is,
MS_NOATIME
implies
MS_NODIRATIME.
- MS_NOEXEC
-
Do not allow programs to be executed from this filesystem.
- MS_NOSUID
-
Do not honor set-user-ID and set-group-ID bits when executing
programs from this filesystem.
- MS_RDONLY
-
Mount filesystem read-only.
- MS_RELATIME (since Linux 2.6.20)
-
When a file on this filesystem is accessed,
update the file's last access time (atime) only if the current value
of atime is less than or equal to the file's last modification time (mtime)
or last status change time (ctime).
This option is useful for programs, such as
mutt(1),
that need to know when a file has been read since it was last modified.
Since Linux 2.6.30, the kernel defaults to the behavior provided
by this flag (unless
MS_NOATIME
was specified), and the
MS_STRICTATIME
flag is required to obtain traditional semantics.
In addition, since Linux 2.6.30,
the file's last access time is always updated if it
is more than 1 day old.
- MS_REMOUNT
-
Remount an existing mount.
This allows you to change the
mountflags
and
data
of an existing mount without having to unmount and remount the filesystem.
target
should be the same value specified in the initial
mount()
call;
source
and
filesystemtype
are ignored.
The following
mountflags
can be changed:
MS_RDONLY,
MS_SYNCHRONOUS,
MS_MANDLOCK;
before kernel 2.6.16, the following could also be changed:
MS_NOATIME
and
MS_NODIRATIME;
and, additionally, before kernel 2.4.10, the following could also be changed:
MS_NOSUID,
MS_NODEV,
MS_NOEXEC.
- MS_SILENT (since Linux 2.6.17)
-
Suppress the display of certain
(printk())
warning messages in the kernel log.
This flag supersedes the misnamed and obsolete
MS_VERBOSE
flag (available since Linux 2.4.12), which has the same meaning.
- MS_STRICTATIME (since Linux 2.6.30)
-
Always update the last access time (atime) when files on this
filesystem are accessed.
(This was the default behavior before Linux 2.6.30.)
Specifying this flag overrides the effect of setting the
MS_NOATIME
and
MS_RELATIME
flags.
- MS_SYNCHRONOUS
-
Make writes on this filesystem synchronous (as though
the
O_SYNC
flag to
open(2)
was specified for all file opens to this filesystem).
From Linux 2.4 onward, the
MS_NODEV, MS_NOEXEC, and MS_NOSUID
flags are settable on a per-mount-point basis.
From kernel 2.6.16 onward,
MS_NOATIME
and
MS_NODIRATIME
are also settable on a per-mount-point basis.
The
MS_RELATIME
flag is also settable on a per-mount-point basis.
The
data
argument is interpreted by the different filesystems.
Typically it is a string of comma-separated options
understood by this filesystem.
See
mount(8)
for details of the options available for each filesystem type.
RETURN VALUE
On success, zero is returned.
On error, -1 is returned, and
errno
is set appropriately.
ERRORS
The error values given below result from filesystem type independent
errors.
Each filesystem type may have its own special errors and its
own special behavior.
See the Linux kernel source code for details.
- EACCES
-
A component of a path was not searchable.
(See also
path_resolution(7).)
Or, mounting a read-only filesystem was attempted without giving the
MS_RDONLY
flag.
Or, the block device
source
is located on a filesystem mounted with the
MS_NODEV
option.
- EBUSY
-
source
is already mounted.
Or, it cannot be remounted read-only,
because it still holds files open for writing.
Or, it cannot be mounted on
target
because
target
is still busy (it is the working directory of some thread,
the mount point of another device, has open files, etc.).
- EFAULT
-
One of the pointer arguments points outside the user address space.
- EINVAL
-
source
had an invalid superblock.
Or, a remount
(MS_REMOUNT)
was attempted, but
source
was not already mounted on
target.
Or, a move
(MS_MOVE)
was attempted, but
source
was not a mount point, or was '/'.
- ELOOP
-
Too many links encountered during pathname resolution.
Or, a move was attempted, while
target
is a descendant of
source.
- EMFILE
-
(In case no block device is required:)
Table of dummy devices is full.
- ENAMETOOLONG
-
A pathname was longer than
MAXPATHLEN.
- ENODEV
-
filesystemtype
not configured in the kernel.
- ENOENT
-
A pathname was empty or had a nonexistent component.
- ENOMEM
-
The kernel could not allocate a free page to copy filenames or data into.
- ENOTBLK
-
source
is not a block device (and a device was required).
- ENOTDIR
-
target,
or a prefix of
source,
is not a directory.
- ENXIO
-
The major number of the block device
source
is out of range.
- EPERM
-
The caller does not have the required privileges.
VERSIONS
The definitions of
MS_DIRSYNC,
MS_MOVE,
MS_REC,
MS_RELATIME,
and
MS_STRICTATIME
were added to glibc headers in version 2.12.
CONFORMING TO
This function is Linux-specific and should not be used in
programs intended to be portable.
NOTES
The original
MS_SYNC
flag was renamed
MS_SYNCHRONOUS
in 1.1.69
when a different
MS_SYNC
was added to <mman.h>.
Before Linux 2.4 an attempt to execute a set-user-ID or set-group-ID program
on a filesystem mounted with
MS_NOSUID
would fail with
EPERM.
Since Linux 2.4 the set-user-ID and set-group-ID bits are
just silently ignored in this case.
Per-process namespaces
Starting with kernel 2.4.19, Linux provides
per-process mount namespaces.
A mount namespace is the set of filesystem mounts that
are visible to a process.
Mount-point namespaces can be (and usually are)
shared between multiple processes,
and changes to the namespace (i.e., mounts and unmounts) by one process
are visible to all other processes sharing the same namespace.
(The pre-2.4.19 Linux situation can be considered as one in which
a single namespace was shared by every process on the system.)
A child process created by
fork(2)
shares its parent's mount namespace;
the mount namespace is preserved across an
execve(2).
A process can obtain a private mount namespace if:
it was created using the
clone(2)
CLONE_NEWNS
flag,
in which case its new namespace is initialized to be a
copy
of the namespace of the process that called
clone(2);
or it calls
unshare(2)
with the
CLONE_NEWNS
flag,
which causes the caller's mount namespace to obtain a private copy
of the namespace that it was previously sharing with other processes,
so that future mounts and unmounts by the caller are invisible
to other processes (except child processes that the caller
subsequently creates) and vice versa.
The Linux-specific
/proc/PID/mounts
file exposes the list of mount points in the mount
namespace of the process with the specified ID; see
proc(5)
for details.
SEE ALSO
lsblk(1),
umount(2),
namespaces(7),
path_resolution(7),
mount(8),
umount(8)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- RETURN VALUE
-
- ERRORS
-
- VERSIONS
-
- CONFORMING TO
-
- NOTES
-
- Per-process namespaces
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 02:54:49 GMT, September 18, 2014


Labelling Tool
, a tool to annotate images by drawing polygons.
Help
Available labels per entry are shown on the right.
The currently selected label type has a thick border, new polygons will be of this type. Select the active type by left clicking on the labels.
Right click on other labels to hide them from the view.
Use the select tool from the toolbar to modify a polygon.
Delete vertices of a polygon by selecting the polygon and rightclicking vertices.
Delete polygons by selecting them with shift-click and pressing delete on the keyboard or the X from the control bar.
Change type of a polygon by selecting them and left clicking a label.
Undo and redo changes with ctrl+z and ctrl+y or from the control bar, this is an experimental feature from ol-ext.
While drawing a polygon use ctrl+z or ctrl+rightclick to remove the previously inserted point.
Close new polygons quickly with doubleclick. Use ctrl+z to remove the last placed control point while drawing.
Try the dropdown for some options... :)
Misc
This label tool makes use of the following libraries:
OpenLayers 5
Open Layers Ext (ol-ext)
CherryPy
Sample images provided by
xkcd
. This labelling tool is written by Ivor Wanders and
available
under MIT license.
close
help
prev
/
--
next
Disabled
colorburn
screen
foo
bar


This is a simple game called asteroids only available on PC!
Press enter to start the game.Move the blue triangle using up/right/left,and fire a bullet using space.
The score shows at the right-up corner of the screen.The yellow ones are coins,eat them to get more scores.
Thanks to Doug McInnes for creating this awesome game!


Disabling WordPress backups
Site ID
Enabling WordPress backups
Site ID
Disabling basic authentication
Site ID
Enabling basic authentication
Site ID
Get the Shifter CDN status
Site ID
delete destination of access logs
Site ID
set or update destination of access logs
Site ID
Disabling media CDN
Site ID
Enabling media CDN
Site ID
remove protection of delete
add protection of delete
update site settings. Updatable attributes are site_name, All in one WP migration configuration, Shifter media cdn configuration, and automatic publish configuration.
Site ID
Update your site name
Site ID
Remove subdirectory name for publishing
Site ID
Set subdirectory name for publishing
Site ID
Generated using TypeDoc
SiteSettingsApi - object-oriented interface


org.owasp.html
Interface ElementPolicy
public interface ElementPolicy
A policy that can be applied to an element to decide whether or not to
allow it in the output, possibly after transforming attributes.
Element policies are applied after
attribute policies
so
they can be used to add extra attributes.
- Author:
- Mike Samuel
- See Also:
HtmlPolicyBuilder.allowElements(ElementPolicy, String...)
|
Nested Class Summary |
static class |
ElementPolicy.Util
Utilities for working with element policies. |
|
Method Summary |
java.lang.String |
apply(java.lang.String elementName,
java.util.List<java.lang.String> attrs)
|
IDENTITY_ELEMENT_POLICY
static final ElementPolicy IDENTITY_ELEMENT_POLICY
REJECT_ALL_ELEMENT_POLICY
static final ElementPolicy REJECT_ALL_ELEMENT_POLICY
apply
@Nullable
java.lang.String apply(java.lang.String elementName,
java.util.List<java.lang.String> attrs)
- Parameters:
elementName
- the lower-case element name.attrs
- a list of alternating attribute names and values.
The list may be added to or removed from. When removing, be
careful to remove both the name and its associated value.
- Returns:
null
to disallow the element, or the adjusted element name.


Some information about the Eucharist.. Lorem ipsum, dolor sit amet consectetur adipisicing elit. Labore pariatur facilis atque debitis doloribus itaque totam perferendis consequuntur autem distinctio.
Throughout the Bible, Jesus refers to the literal consumption of his physical body and blood.
26 And as they were eating, Jesus took bread, blessed and broke it, and gave it to the disciples and said, “Take, eat; this is My body.”
27 Then He took the cup, and gave thanks, and gave it to them, saying, “Drink from it, all of you.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Vel sequi nulla obcaecati, repudiandae voluptates facere error possimus corporis nesciunt quae.
.accordion-body
, though the transition does limit
overflow.
.accordion-body
, though the transition does limit
overflow.
Lorem ipsum dolor sit, amet consectetur adipisicing elit. Quod animi voluptates esse optio modi temporibus quasi autem laborum quos deserunt.
26 And as they were eating, Jesus took bread, blessed and broke it, and gave it to the disciples and said, “Take, eat; this is My body.”
27 Then He took the cup, and gave thanks, and gave it to them, saying, “Drink from it, all of you.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Vel sequi nulla obcaecati, repudiandae voluptates facere error possimus corporis nesciunt quae.
.accordion-body
, though the transition does limit
overflow.
.accordion-body
, though the transition does limit
overflow.


Yachats Rural Fire Protection District
Home
New Station
Meetings
Minutes
Contact Us
Diagrams
Photographs


11 new trailers worth watching: 6 Underground, Sonic, The SpongeBob Movie, and more
by Chris SmithIf I were to choose a new movie to watch this weekend, it’d be a toss-up between Ford v Ferrari, a drama based on a true story, or The Good Liar, a drama starring Helen Mirren and Ian McKellen. The new Charlie’s Angels is also out this week, but I’m just not feeling it. But what am I even saying; Disney+ launched a few days ago, which gives you the perfect excuse not to go to a theater near you, especially if you’ve got catching up to do on Disney content — the live-action Lady and the Tramp is out on the service, for example.
Speaking of streaming, I’ve just caught up with American Son over on Netflix, based on the Broadway play, and it’s something that definitely should be on your list.
This brings us to this week’s list of new trailers, which has no less than 11 clips for coming attractions. We’ve got plenty of animated features, Christmas movies, and Netflix creations. 6 Underground is easily one of the highlights of the week: A Netflix action movie with Ryan Reynolds. Sony, meanwhile, released the new Sonic design and official trailer — think more eyes, less teeth. And we also have a trailer for the new SpongeBob Movie, which features an appropriately bizarre cameo from John Wick himself: Keanu Reeves.


@x:Act types are declared by a @x:type command followed by a @x:self command. The body of the @x:type command contains the declaration of variables and functions associated with the type (in Java these would be declared as static). The @x:self command contains the declaration of variables and and functions associated with objects of the type. For name binding purposes the @x:self tag is logically nested within the @x:type tag and can refer to names declared there.
An object of a type is created with a constructor. A constructor consists of a type followed by a set of parameters enclosed in () (note that unlike Java no new keyword is needed). This causes an instance of the @x:self scope to be created and all commands within it executed. If the special function with name sys:Init is declared within the @x:self command, it is then called passing it the parameters specified in the constructor.
Variables and functions within the @x:type command that have option visible can be referenced by dot qualification of the type.
Variables and functions within the @x:self command that have option visible can be referenced by dot qualification of an object with the type. Within the @x:self command the name self is automatically declared and has the object as its value (self in @x:Act works just like this in Java).


Next: reverse, Previous: count, Up: Sequences Dictionary
length
sequence ⇒ n
sequence—a proper sequence.
n—a non-negative integer.
Returns the number of elements in sequence.
If sequence is a vector with a fill pointer, the active length as specified by the fill pointer is returned.
(length "abc") ⇒ 3 (setq str (make-array '(3) :element-type 'character :initial-contents "abc" :fill-pointer t)) ⇒ "abc" (length str) ⇒ 3 (setf (fill-pointer str) 2) ⇒ 2 (length str) ⇒ 2
Should be prepared to signal an error of type type-error if sequence is not a proper sequence.


{% extends "app/dashboard-base.html" %} {% load crispy_forms_filters %}
Rent: {{ room.rent }} per month


Tamil
Tamil is a Dravidian language spoken predominantly by Tamil people of the Indian subcontinent. It has official status in India, Sri Lanka and Singapore. Tamil is also spoken by significant minorities in Malaysia, Mauritius and Réunion as well as emigrant communities around the world. It is the administrative language of the Indian state of Tamil Nadu, and the first Indian language to be declared as a classical language by the government of India in 2004.More information - wikipedia: https://en.wikipedia.org/wiki/Tamil_language
Unicode-Range: U+0B80 – U+0BFF
Unicode Chart: http://www.unicode.org/charts/PDF/U0B80.pdf
Font: Lohit - used for generating reference images
Rendering Engine: Pango - used for generating reference images
| No | Code Point | Reference | Character | Text | Description |
|---|---|---|---|---|---|
| {{ forloop.counter }} |


@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import partials.main_template @this(main_template: main_template) @()(implicit request: Request[_], messages: Messages) @sidebarLinks = @{ "
" } @main_template(messages("customs.emailfrontend.start.title-and-heading"), Some(Html(sidebarLinks)), timeout = false) {@messages("customs.emailfrontend.start.bullet-intro")
@messages("customs.emailfrontend.start.before-start.p1")
@messages("customs.emailfrontend.start.button") }