At Google Developer Group DAIICT, our aim is to reach out as many developers as we can, throughout the institute as well as Gujarat. We have events and sessions for all levels of expertise.
A mix of enthusiastic developers who work tirelessly for each event. We have developers from all batches - freshmen, sohphomores, juniors, seniors and masters.
We like to play with the latest technologies and make them easier for others to understand. We believe technology is for everyone, not just for the elite coders.
Women Techmakers community came to DA-IICT to give talks on various topics. The talks were focused on topics
such as using Firebase with Android, Webmaster tools and Digital Marketing, YouTube advertising as well as
Internet of Things. They also spoke about how we can involve more women in Tech sector and the ways in which
we can contribute to Open Source Organizations.
Event Page
Yash Shah, a graduate from DA-IICT and co-founder of appbase.io, taught how to build your own search engines.
The event was organized as part of our International Women's Day celebrations. In the second half of the
event, Aditi Bhatnagar gave a talk on women's involvement in engieering.
Event Page
GDG DA-IICT conducted it's fifth and final installment of the Android Study Jam series. In
continuation of the fourth jam, people were again divided into two tracks: Beginners and
Advanced. We had assigned projects to the attendees. This session focussed on helping out with the projects, wrapping up
the things and filling in the gaps, if any. This being the last session, we brought the series to a conclustion.
Towards the end of the session, we introduced the attendees to a lot more technologies they can integrate their apps with.
We urged them to explore more themselves, and develop useful applications.
Event Page
GDG DA-IICT conducted it's fourth installment of the Android Study Jam series.
In continuation of the third study jam, we progress further in our journey to make an Android app.
We picked up where we left off and continue learning 'Android for Beginners' Udacity Course.
Following the tradition, people were again divided into two tracks: Beginners and Advanced.
Event Page
GDG DA-IICT conducted it's third installment of the Android Study Jam series. In
continuation of the second jam, people were again divided into two tracks: Beginners and
Advanced. We picked up where we left off and continue learning 'Android for Beginners' Udacity Course.
Event Page
GDG DA-IICT conducted it's second Android Study Jam. In
continuation of the first Jam, people were again divided into two tracks: Beginners and
Advanced. While beginners' track were getting their hands deeper in the shallows of Android,
the advanced track attendees learnt JSON parsing and server communication with Android.
Event Page
On 1st Febuary , Around 170 registered students attended the
DA-IICT's First Android Study jam session. Everyone was very excited to dive into the world
of Android development.
The session started with a brief introduction, the motive of the sessions and the benefits
of learning this Technology to change people's life.
For fast-paced learning and in order to provide good mentoring to all the students, the
sessions will run a 2-Track course, One for Beginners and other for student who already have
at least a basic hands-on android development experience. The Advanced track comprised of 30
odd Developers.
In the Beginner’s track, the topic was to get up and running with Android Studio and its
basic layouts and other functional tools.
In the Advanced track, Everyone first discussed and brainstormed ideas on the Cool
stuff they wished to make as Projects. They shared their previous Projects if any.
Thereafter, students formed teams amongst themselves and decided to work on some ideas that
excited them.
The first project, i.e. to make a fully-functional Timetable synced with the Academic
calendar for the students was finalized and the next few sessions would walk them through
getting it done.
In this session, we made different linear layouts and json objects for the Timetable.
The next assignment was to finish up creating objects of days and courses, completing the
layouts and coming up with some innovative additions to the app.
Event Page
Core Team Members, Shaleen Gupta and Ankit Muchhala conducted
this session on Unix Bash Scripting and Python Automation, which ranged the area of basic
program structures to building a web-scraper in both bash and python.
Event Page
GDG DA-IICT successfully conducted its Linux Installation Drive
2016 and 50+
Linux Operating Systems were installed on machines of beginner level open-source
enthusiasts.
Event Page
GDG DA-IICT had successfully conducted a session on GSOC on
11th January,2016. GSOC is Google Summer of Code, a very prestigious international platform
to contribute to open source. It is an international annual program where participants are
supposed to complete an open source software coding project and get a stipend for that.
In this session two our team members namely Rishi Shah and Yash Shah, gave a talk on GSOC
and a guideline on how to go about it. Rishi Shah from B.Tech 2nd year had got GSOC in 2015
in his first year. Yash Shah, a pass out from B.Tech 2014 Batch had also cracked GSOC in his
first year too, has founded a start up called Arreysun and is cofounder at appbase.io .
They showed the people how to get started with your dream of cracking GSOC so that we end up
in a positive scenario. The turn up was very good with around 150 students where the number
of boys were considerably greater than that of girls. The session went smoothly without any
technical glitches and all the students seemed to be very pumped up about it at the end of
the session.
Event Page
Core members of the team, Priyansh Trivedi and Gaurav
Maheshwari conducted a hands-on session on Python Programming Language targetted at beginner
level programmers who were interested in taking up Python.
Event Page
GDG DA-IICT conducted a hands-on on Go Programming Language.
The speaker for the event was Mr. Niket Patel, an experienced Go Developer.
Event Page
Details:
Thursday, 22nd October, 2015
10:30am to 5:00pm (including Lunch)
Event
schedule
Topics discussed:
Philosophy of Material User-Interface
Android WMP (Wireframing, Mock-ups and Prototyping)
Angular JS
Deep dive into Polymer and Material UI
These sessions were conducted by 3 Guest talks by experienced entrepreneurs and
developers.
Event Summary
This year we at GDG, DA-IICT organized our Devfest, preparations for which had started
about a month ago. On the day of the event we started at 9 am with some of the remaining
registrations both from our college as well as others while the events started at 10.
The first session, which lasted an hour, was on the philosophy of material design by Mr.
Samir Motwani, Creative Director at RapidOps Solutions. He started off with what
material design is and showed various sample websites and apps regarding the same. He
talked about how it is fast becoming popular and will soon become the industry standard.
He also took a lot of interesting questions from the audience as well as some of the
other speakers.
A lightning talk which started at 11.15 was given next by Ankit Muchhala, a student from
DA-IICT who is also a developer at Play Power labs. The talk was on his development
stack and also consisted of various tools like Yeoman, Heroku, Egghead.io, Kapeli Dash,
npm, Tower etc.
The next session started at 11.45 and was about Android wireframing, mockups and
prototyping conducted by Dhrumil Shah from GDG Ahmedabad. He talked about these stages
of creating an app. He stressed upon the importance of first solving a problem and
making a blueprint before actually writing the code.
This session was then succeeded by a lunch break along with a networking session. There
was a lot of interaction between the students of the various colleges and the speakers.
We had pizzas and people enjoyed a lot. People shared their interests, past projects and
talked about themselves in this break.
After lunch the next session was on Angular JS by Jayesh Anandani, founder of Webelight
Solutions. Through an example code he explained the shift from JQuery to Angular. He
talked about what two-way data binding is and how it forms the core principle of
Angular. The session lasted an hour going up to 2.30 pm.
The next session was by Dhaval Pandit, marketing head, RapidOps solutions. He talked
about the importance of analytics based business strategies when it comes to creating a
successful product. He also talked the various tools that they used to collect the
relevant data required for the analysis.
Next was a hangout with Dushyant Jadeja, from GDG Bangalore. His talk was a deep dive
into Material UI and Polymer. He in detail explained the advantages of Polymer and
showed various examples. He also explained the basics of the Polymer elements.
We concluded with a very brief lightning talk by Ishit Mehta from Arpanet Marketing
Solutions. He talked about his startup and the business aspects of establishing and
running a successful venture.
Event Page
Our team members: Arushi Sanghani, Purvik Shah, Viral Pandey
and Rishi Shah conducted this hands-on session on Google's Polymer Framework. The event
despite of seeing a very limited number of attendees, was able to inspire few of the
attendees to actually develop their course projects using the polymer framework.
Event Page
GDG organized a hands-on session on Phonegap on September 28,
2015. The speaker was Lakhan Samani, a member of GDG from the M.Sc. IT 2014 batch. Almost 30
students attended the session. The session saw equal participation from girls and boys.
Majority of the attendees were from the M.Sc. IT program. Phonegap is a technology that
helps build cross platform mobile applications using only HTML and JavaScript. We faced some
issues with network connectivity during the session because of which many participants
couldn't code hands-on.
Event Page
GDG DA-IICT conducted its annual volunteer recruitment drive which saw more than 150 applications. 4 applicants were handpicked in an interview round preceded by an application form filter.


During Cross-Site Request Forgery (CSRF)-also known as XSRF or session riding- attacks, an attacker forces a victim to make an unexpected web request such as a fraudulent bank transaction. For example, an attacker tricks the victim client into calling a banking function in a vulnerable page that transfers money from the victim’s to the attacker’s account. The victim triggers the attack by following an attacker’s link or visiting an attacker’s page. The vulnerable server page doesn’t recheck the authenticity of the victim’s request and allows the transfer to proceed.
Follow these steps to test for CSRF bugs:
The first step in testing for CSRF bugs is to understand its attack scenarios. Even though the anatomy of a CSRF attack is almost always constant, its objectives may vary: attackers can exploit CSRF bugs to perform unauthorized fraudulent banking transactions, send spoofed email messages, steal sensitive information, and even install a back door. The following steps detail the anatomy of a CSRF attack:
The form of the link built in step 2 depends on the payload that the attacker wants to execute. For example, the link might looks like this when they payload is to transfer money from the victim’s to the attacker’s account:
<EMAIL_ADDRESS>The link below sends an email titled Hello to<EMAIL_ADDRESS>:
<EMAIL_ADDRESS>During this step you will be shown the causes behind Cross-Site Request Forgery, how to recognize it within your code base and you will be shown coding best practices, as to avoid this issue altogether.
This kind of vulnerability exists because the web application trusts the forged request. Thus, the cause for this bug is a case of poor or missing authentication code. The application lacks the functionality to verify that every client request is not forged and that it actually originates from a legitimate client action. Web applications vulnerable to CSRF implement a persistent authentication system in which they validate the user against a persistent token such as a session cookie. In persistent authentication, when the server receives a request it only checks if the user is logged in and not if the request comes due to a legitimate client action.
The main prevention against CSRF vulnerabilities is to provide a transient authentication system instead of a persistent authentication system. Transient authentication systems verify for the authenticity of every request by using an additional check. One way of doing this is to transmit a secret in every URL; especially require a secret in URLs that request create, update, delete, or mail actions. An attacker will not be able to execute an attack unless he knows the secret. The problem is that an attacker can execute a XSS attack and steal the secret.
There is no silver bullet against CSRF attacks so developers need to look for ways of raising the bar against attackers. A popular way to protect Internet users from CSRF is by using CAPTCHAs (Completely Automated Turing Test to Tell Computers and Humans Apart) that require the client to validate the contents of a bitmap image before the application allows any requests.
Other preventions suggested include using POSTs instead of GETs requests to perform actions and or to check the HTTP referrer header. However, both of these countermeasures can be defeated by a knowledgeable attacker since he can easily forge a POST command using a malicious script and can also easily spoof the HTTP referrer.
Now that you’ve learned how CSRF attacks work and how to defend against them, this step shows the basic test cases to execute to start testing for CSRF bugs.
Follow these test steps to test against CSRF bugs.
Expected result: the test fails if the application trusts and processes the forged request.
This test will tell you if your application uses secrets in the URL.
Testing steps:
Expected result: The server must disallow the action since the secret was changed in step 6. The test fails if the server allows the requested action.
This test will tell you if your application properly uses secrets in the cookies.
Testing steps:
Expected result: The server must disallow the action since the secret was changed in step 6. The test fails if the server allows the requested action.
The final step in testing for CSRF bugs is to fine-tune the test case data to achieve proper test coverage. Testing for CSRF bugs require you to fine-tune the test case data as to cover different attack scenarios in an automated fashion.
Attackers can use CSRF bugs to execute different kinds of attacks. It is important that you test these different payloads depending the characteristics of your application. Common objectives of CSRF attacks include:
Finally, it is recommended that you extend your test automation by adding CSRF test cases to it. Make a list of all GET requests in URLs and POST requests and write your own script that makes the requests with different session tokens.
Cross-Site Request Forgery is serious attack class that affects any web application that doesn’t explicitly protect against it. Testing for CSRF bugs requires you to understand the attack scenarios, the cause of the bugs, and how to defend against them. In addition you must execute different CSRF test cases and fine-tune test case data according to different entry points.


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Number thrust( [ power ] )
Optionally updates the power setting of the player ship's main engines to a value between 0 and 1, then returns the power setting. A thrust value of 0 corresponds to 0 acceleration, and a thrust value of 1 corresponds to 0.5 units/frame^2 of acceleration in the direction the player's ship is pointing.
power <Number>
Optional, clipped to the range [0, 1].
The current power setting of the player ship's main engines.
Number turn( [ power ] )
Optionally updates the power setting of the player ship's turning engines to a value between 1 (counterclockwise) and -1 (clockwise), then returns the power setting. A turn value of 1 corresponds to 0.005 radians/frame^2 of angular acceleration and a turn value of -1 corresponds to -0.005 radians/frame^2 of angular acceleration.
power <Number>
Clipped to the range [-1, 1].
The power setting of the player ship's turning engines.
Vector accel()
Gets the x, y, and angular acceleration of the player ship. The x and y acceleration are computed from the angular position of the ship and the power setting of its main engines, and are given in pixels/frame^2. The angular acceleration is computed from the power setting of the ship's turning engines, and is given in radians/frame^2.
An object with numeric 'x', 'y', and 'angular' properties.
Rectangle bounds()
Gets the player ship's current bounding box.
An object with numeric 'x', 'y', 'width', and 'height' properties.
Number health()
Gets the player's current health.
Vector pos()
Gets the x, y, and angular position of the player ship. The x and y position are given in pixels. The angular position, or rotation, is given in radians.
An object with numeric 'x', 'y', and 'angular' properties.
Vector vel()
Gets the x, y, and angular velocity of the player ship. The x and y velocity are given in pixels/frame. The angular velocity is given in radians/frame.
Extra info on the return value.
Array radar( [ filter ] )
Gets an array of game objects that the player ship can pick up on its sensors, optionally filtered by the given filter.
filter <String|Object|Function>
Optional, if set this will filter the output. If the filter is of type String, the output will be filtered by the 'type' property. If the filter is of type Object, the output will be filtered by all of its properties; for example, if the filter is { type: 'target', objective: 'reach' }, the output will only contain game objects that have a type of 'target' and an objective of 'reach'. If the filter is of type Function, it will pass each game object to the filter as an argument and will include it in the output only if the filter returns true. For example, radar('asteroid'), radar({ type: 'asteroid' }), and radar(function(obj) { return 'asteroid' === obj.type; }) all have the same return value.
The array of GameObjects.
See the radar usage example for more.
void fire( x, y )
Fires the currently equipped weapon in the direction (x, y). If called more than once, the latest direction will be used. If x and y are both zero, the weapon will not be fired.
x <Number>
The x-coordinate to aim at.
y <Number>
The y-coordinate to aim at.
See the weapons usage example for more.
void equip( [ weapon ] )
If weapon
is of type String, the weapon with that name is equipped. If weapon
is of type Weapon, the weapon with a name of weapon.name
is equipped. If no matching weapon is found or weapon
is not set, the current weapon is unequipped.
weapon <String|Weapon>
The weapon or name of the weapon to be equipped.
See the weapons usage example for more.
Weapon equipped()
Returns the currently equipped weapon object, or null if no weapon is currently equipped.
The currently equipped weapon.
See the weapons usage example for more.
Array weapons()
Gets an array of weapons available to the player ship.
The array of available Weapon objects.
See the weapons usage example for more.
Object load( key, [ defaultValue ] )
Loads a value with the given key from persistent storage.
key <String>
The key from which to load the value.
defaultValue <Object>
The default value to return if no value stored at key.
The value stored at the given key, or the defaultValue.
See the persistent variables example for more.
void store( key, value )
Stores a value at the given key in persistent storage.
key <String>
The key at which to store the given value.
value <Object>
The value to store at the given key.
See the persistent variables example for more.
void console.error( message )
Prints the given message to the console as an error. Pops out the console window if it is currently hidden.
message <String|Object>
If the message is of type Object, its JSON representation is printed instead.
void console.log( message )
Prints the given message to the console.
message <String|Object>
If the message is of type Object, its JSON representation is printed instead.
void console.warn( message )
Prints the given message to the console as a warning.
message <String|Object>
If the message is of type Object, its JSON representation is printed instead.


--- layout: default title: Introduction to ImageJ ---
This course is an introduction to the image analysis software ImageJ. It was first given at the Université catholique de Louvain in Spring 2017, then Winter 2019 for the ACELI Training Sessions.
Before starting the course, we ask you to install ImageJ on you computer (it will also be installed in the computer room). Installation instructions can be found here: https://imagej.net/Welcome


COCO
You can view the COCO minival leaderboard here.
Warning
Object detection APIs in PyTorch are not very standardised across repositories, meaning that it may require a lot of glue to get them working with this evaluation procedure (which is based on torchvision).
For easier COCO integration with sotabench it is recommended to use the more general API sotabencheval.
Getting Started
You'll need the following in the root of your repository:
sotabench.py
file - contains benchmarking logic; the server will run this on each commitrequirements.txt
file - Python dependencies to be installed before runningsotabench.py
sotabench_setup.sh
(optional) - any advanced dependencies or setup, e.g. compilation
Once you connect your repository to sotabench.com, the platform
will run your sotabench.py
file whenever you commit to master.
We now show how to write the sotabench.py
file to evaluate a PyTorch object model with
the torchbench library, and to allow your results to be recorded and reported for the community.
The COCO Evaluation Class
You can import the evaluation class from the following module:
from torchbench.object_detection import COCO
The COCO
class contains several components used in the evaluation, such as the dataset
:
COCO.dataset # torchbench.datasets.coco.CocoDetection
And some default arguments used for evaluation (which can be overridden):
COCO.transforms # <torchbench.object_detection.transforms.Compose at 0x7f60e9ffd0b8> COCO.send_data_to_device # <function torchbench.object_detection.coco.coco_data_to_device> COCO.collate_fn # <function torchbench.object_detection.coco.coco_collate_fn> COCO.model_output_transform # <function torchbench.object_detection.coco.coco_output_transform>
We will explain these different options shortly and how you can manipulate them to get the evaluation logic to play nicely with your model.
An evaluation call - which performs evaluation, and if on the sotabench.com server, saves the results -
looks like the following through the benchmark()
method:
import torchvision model = torchvision.models.detection.__dict__['maskrcnn_resnet50_fpn'](num_classes=91, pretrained=True) COCO.benchmark( model=model, paper_model_name='Mask R-CNN (ResNet-50-FPN)', paper_arxiv_id='1703.06870' )
These are the key arguments: the model
which is a usually a nn.Module
type object, but more generally,
is any method with a forward
method that takes in input data and outputs predictions.
paper_model_name
refers to the name of the model and paper_arxiv_id
(optionally) refers to
the paper from which the model originated. If these two arguments match a record paper result,
then sotabench.com will match your model with the paper and compare your code's results with the
reported results in the paper.
A full sotabench.py
example
Below shows an example for the torchvision repository benchmarking a Mask R-CNN model:
from torchbench.object_detection import COCO from torchbench.utils import send_model_to_device from torchbench.object_detection.transforms import Compose, ConvertCocoPolysToMask, ToTensor import torchvision import PIL def coco_data_to_device(input, target, device: str = "cuda", non_blocking: bool = True): input = list(inp.to(device=device, non_blocking=non_blocking) for inp in input) target = [{k: v.to(device=device, non_blocking=non_blocking) for k, v in t.items()} for t in target] return input, target def coco_collate_fn(batch): return tuple(zip(*batch)) def coco_output_transform(output, target): output = [{k: v.to("cpu") for k, v in t.items()} for t in output] return output, target transforms = Compose([ConvertCocoPolysToMask(), ToTensor()]) model = torchvision.models.detection.__dict__['maskrcnn_resnet50_fpn'](num_classes=91, pretrained=True) # Run the benchmark COCO.benchmark( model=model, paper_model_name='Mask R-CNN (ResNet-50-FPN)', paper_arxiv_id='1703.06870', transforms=transforms, model_output_transform=coco_output_transform, send_data_to_device=coco_data_to_device, collate_fn=coco_collate_fn, batch_size=8, num_gpu=1 )
COCO.benchmark()
Arguments
The source code for the COCO evaluation method can be found here. We now explain each argument.
model
a PyTorch module, (e.g. a nn.Module
object), that takes in COCO data and outputs detections.
For example, from the torchvision repository:
import torchvision model = torchvision.models.detection.__dict__['maskrcnn_resnet50_fpn'](num_classes=91, pretrained=True)
model_description
(str, optional): Optional model description.
For example:
model_description = 'Using ported TensorFlow weights'
input_transform
Composing the transforms used to transform the input data (the images), e.g.
resizing (e.g transforms.Resize
), center cropping, to tensor transformations and normalization.
For example:
import torchvision.transforms as transforms input_transform = transforms.Compose([ transforms.Resize(512, PIL.Image.BICUBIC), transforms.ToTensor(), ])
target_transform
Composing the transforms used to transform the target data
transforms
Composing the transforms used to transform the input data (the images) and the target data (the labels) in a dual fashion - for example resizing the pair of data jointly.
Below shows an example; note the
fact that the __call__
takes in two arguments and returns two arguments (ordinary torchvision
transforms
return one result).
from torchvision.transforms import functional as F class Compose(object): def __init__(self, transforms): self.transforms = transforms def __call__(self, image, target): for t in self.transforms: image, target = t(image, target) return image, target class ToTensor(object): def __call__(self, image, target): image = F.to_tensor(image) return image, target class ImageResize(object): def __init__(self, resize_shape): self.resize_shape = resize_shape def __call__(self, image, target): image = F.resize(image, self.resize_shape) return image, target transforms = Compose([ImageResize((512, 512)), ToTensor()])
Note that the default transforms are:
from torchbench.object_detection.utils import Compose, ConvertCocoPolysToMask, ToTensor transforms = Compose([ConvertCocoPolysToMask(), ToTensor()])
Where ConvertCocoPolysToMask
is from the torchvision reference implementation to transform
the inputs to the right format to be entered into the model. You can pass whatever transforms
you need to make the dataset work with your model.
model_output_transform
(callable, optional): An optional function
that takes in model output (after being passed through your
model
forward pass) and transforms it. Afterwards, the
output will be passed into an evaluation function.
The model output transform is a function that you can pass in to transform the model output after the data has been passed into the model. This is useful if you have to do further processing steps after inference to get the predictions in the right format for evaluation.
The model evaluation for each batch is as follows from utils.py are:
with torch.no_grad(): for i, (input, target) in enumerate(iterator): input, target = send_data_to_device(input, target, device=device) original_output = model(input) output, target = model_output_transform(original_output, target) result = { tar["image_id"].item(): out for tar, out in zip(target, output) } coco_evaluator.update(result)
We can see the model_output_transform
in use, and the fact that the output
is then
transformed to be a dictionary with image_ids as keys and output as values.
The expected output of model_output_transform
is a list of dictionaries (length = batch_size),
where each dictionary contains keys for 'boxes', 'labels', 'scores', 'masks', and each value is
of the torch.tensor
type.
The expected output of result
is converted to a dictionary with keys as the image ids, and
values as a dictionary with the predictions (boxes, labels, scores, ... as keys).
collate_fn
How the dataset is collated - an optional callable passed into the DataLoader
As an example the default collate function is:
def coco_collate_fn(batch): return tuple(zip(*batch))
send_data_to_device
An optional function specifying how the model is sent to a device
As an example the COCO default is:
def coco_data_to_device(input, target, device: str = "cuda", non_blocking: bool = True): input = list(inp.to(device=device, non_blocking=non_blocking) for inp in input) target = [{k: v.to(device=device, non_blocking=non_blocking) for k, v in t.items()} for t in target] return input, target
data_root
data_root (str): The location of the COCO dataset - change this parameter when evaluating locally if your COCO data is located in a different folder (or alternatively if you want to download to an alternative location).
Note that this parameter will be overriden when the evaluation is performed on the server, so it is solely for your local use.
num_workers
num_workers (int): The number of workers to use for the DataLoader.
batch_size
batch_size (int) : The batch_size to use for evaluation; if you get memory errors, then reduce this (half each time) until your model fits onto the GPU.
paper_model_name
paper_model_name (str, optional): The name of the model from the paper - if you want to link your build to a machine learning paper. See the COCO benchmark page for model names, https://www.sotabench.com/benchmark/coco-minival, e.g. on the paper leaderboard tab.
paper_arxiv_id
paper_arxiv_id (str, optional): Optional linking to ArXiv if you want to link to papers on the leaderboard; put in the corresponding paper's ArXiv ID, e.g. '1611.05431'.
paper_pwc_id
paper_pwc_id (str, optional): Optional linking to Papers With Code; put in the corresponding papers with code URL slug, e.g. 'u-gat-it-unsupervised-generative-attentional'
paper_results
paper_results (dict, optional) : If the paper you are reproducing does not have model results on sotabench.com, you can specify the paper results yourself through this argument, where keys are metric names, values are metric values. e.g::
{'box AP': 0.349, 'AP50': 0.592, ...}.
Ensure that the metric names match those on the sotabench leaderboard - for COCO it should be 'box AP', 'AP50', 'AP75', 'APS', 'APM', 'APL'
pytorch_hub_url
pytorch_hub_url (str, optional): Optional linking to PyTorch Hub url if your model is linked there; e.g: 'nvidia_deeplearningexamples_waveglow'.
Need More Help?
Head on over to the Computer Vision section of the sotabench forums if you have any questions or difficulties.


Following extensive research on this 'new' chemical, I understood that 6-APB was an MDA analogue, and so, as such suited to an all night party. Before I recount my experience, I think it would be proper to disclose my psychonautical pedigree. Although espousing most illegal drugs for reasons economic and moral, I have sampled, as far as my memory serves me, Alcohol, Caffeine, Tobacco, Ephedrine, DXM, Ketamine, Marujuana, Nutmeg, Temazepam, Codeine, Dihydrocodeine, Tramadol, Scopamaline (donít ask), Promethazine, Diphenhydramine and nitrous oxide.
Wary of receiving either a dud or a deathtrap, I visited a trusted vendor in a local headshop. The vendor assured me in vague terms that Benzo Fury pellets were extremely popular, although interestingly he refused to commit as to whether he believed they were relatively safe to use at recommended doses. The price, although high in comparison to OTC drugs such as DXM, codeine, dihydrocodeine and ephedrine, was nevertheless affordable for a one off purchase of 2 tablets at £8.50 each. The well packaged, official pouch placated my initial fears that I might be shortchanged with loose powder or 'home made' capsules that might not be official, or for that matter, safe.
Having never tried this chemical before, my first reaction was to cautiously ingest around 45mg (less than half a 100mg pellet) to ensure that I would not react dramatically to the substance. However, taken in a constrained setting, I noticed few objective effects besides a vague sense of a head buzz and extremely restless legs as I forced myself to conform to the meeting. Walking home I perceived my effort levels to be lower than would be expected at the end of a long day. Cars flashed by on the central A road, but even based on my own subjective interpretations of what rolling on MDA or MDMA would be like, this initial experiment achieved little more than to discount the chance I was completely intolerant to 6-APB, and to encourage me that a full dosage was worth persevering for the following evening.
Feeling completely back to baseline by the next day (although retrospectively sleeping was significantly more difficult even on that threshold dose), I persuaded my most trusted male friend (Rog) to join me in experimenting that evening. These are incredibly precise timings of the experience recorded on my chronometer:
T - 4.00: Had an incredibly light lunch prior to ingestion.
T -2.00: Drank 2.5 units of alcohol which, as I had expected, gave me a mild loosening effect as a result of my empty stomach.
T - 1.00: Arrived at party to find it already in a strange form of 'full swing'. Shortly after our arrival, one foolhardy girl had already got herself into a sufficiently drunk enough stage that she vomited in the host's garden. Increasingly clear that the party was becoming quite a partisan affair, with different cliques effectively self-excluding themselves from the minority of mingling party goers, I urged Rog, who had by this a self-proclaimed drinks count of around six beers to my two (he is a 6ft 6 specimen), to drop our pellets relatively soon.
T - 0.00: With considerable trepidation on Rog's part and nervous energy on mine, I dropped the ostensible amount of 100mg of 6-APB with a sip of beer, whilst my more drug naive partner insisted on ingesting no more than half a pill. The real time was 21.10.
T + 30.00, the faintest tinglings begin in my head and limbs, accentuated by the cold November air outside. Rog feels nothing.
t + 50.00, the effects of the drug now become significantly more noticeable, my sense of sounds becomes somewhat warped, although not in the same way as nitrous oxide or DXM. As we stand awkwardly in a bedroom playing a drinking game I begin to climb hard. I signal this to Rog, and we leave the room full of somewhat hostile egos.
T +1.00: I am now climbing hard, with some mild nausea and head rushes. Looking in at a mirror in a well lit room, Mydriasis has become evident. The euphoria is comparable to that of the initial effects of a recreational dosage of dihydrocodeine in solution. More subjectively, Rog declares that he is starting to feel 'brilliant'.
T+ 1.30 Standing in the garden, keeping a good friend company as he smokes a rolled cigarette, I notice firstly, that I have absolutely no desire to smoke this evening, but also find that conversation flows very smoothly. It is hard at this point to determine whether I am still coming up, but I suspect that I am since my connection with the world has changed in a clear yet subtle way; no other people comment on my appearance besides Rog who remarks on my marked mydriasis of both eyes. At this point he takes his other half.
T+ 1:40 now starting to feel considerably more stimulated, I take a ride into town with some friends in search of some supplies. Although they are closed, I realise that I have very little disappointment, as if the action of travelling at high speed in a car in the dark was reward enough. This is the first point at which I feel as if I am genuinely 'speeding'.
T+ 2.00 Some difficulty in sitting still and talking to those who are fully sober.
T+2.30 Take a walk with my friend in the dark outside. The physiological aspect of the drug experience is now abundantly clear; exertion is exceptionally low and my conversation extremely animated. Have what feels like an exceptionally profound discussion with him. We eventually return to the house.
T+3.00 Around this time the party seems to have reached a point at which many have already left, whilst others melt into the furniture and backrooms of the house.
T+3.30 Now past midnight and into the witching hour, Rog and I decide that we do not want to sleep at the house. Thinking ourselves extremely clever and witty, we tell the host, 127 hours style, that we have ordered a taxicab and are heading back to his house to sleep. Little did our dear, less enlightened friends realise we were about to walk home.
T+3.35 I decide, exhilarated by our audacity and the magnitude of our undertaking, to bomb the final 50mg. This is in the very spirit of reckless abandon that is at the heart of the night. Walking down the middle of a small, dormitory town we talk loudly on a range of subjects.
T+3.40 The placebo effect of the pill unconsciously kicks in, giving me greater energy and euphoria. I sense that both I and my fellow psychonaut are now greatly released from the almost overpowering emotion and complexity of the party in which our empathy was almost uncomfortable.
From this point timings are unknown.
T+4.00 We reach the exit from the town onto the main A road. There the sign displays a stern challenge Ė 6 miles to our roosting place. Like true 21st century hedonists we face our opponent by taking pictures of the sign and hit the road.
T+? At some point on the 6 mile journey through the English countryside I began peaking to a new level. The euphoria and physical stimulation were predominant in effects so that I experienced moderate bruxism (jaw clenching).
T+6 After what we calculate to be 9 miles, thereby outdoing the matheresque album, 8 Mile, Rog and I reach his home. The trip has in the relatively recent time period become somewhat more mellow and psychadelic with high definition and colour distortions giving the appearance of augmented reality. Our heart rates are still significantly above normal.
With difficulty we manage the bare minimum of hours of sleep. The next day I experience significant after glow effects, crashing relatively hard the following evening mainly though physical exhaustion.
All in all I would rate 6-APB, in itís pure form, to be a very interesting chemical indeed.
In a pretty subjective appraisal of my experience I would rank it out of 7 (the Kamting-Leung Scale) with 7 being high.
Duration: 6
Physiological effects: 6
Cognitive/Social effects: 5
Negative or neutral side effects: 4
Cost: 4
Grand total of 25/35
This substance should be given healthy respect, and a psychonaut may want to plan his expedition somewhat before embarking, neanmoins, I intend to do 6-APB again in the right circumstances.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Previous studies
Previous Studies
Whitecliffe College of Arts and Design
Years attended: 2016-2018
Studied: Fine arts Majoring in Graphic Design
Studied for 3 years at Whitecliffe
It takes four years to study to gain your Bachelors degree in graphic design.
I left with an Advanced Diploma and only completed my third year
What I learned at Whitecliffe
- Typography
- Infographics
- Animation
- Rotoscope
- Stop motion
- Envirographics
- Mapping
- Motion graphics
- Kinetic type
- Digital Art
- Pictographs
- Branding
- Logo design
- Relational Art
- Objective drawing
- Expressive drawing
- Screen printing
- Photography
- HTML basics
- CSS basics
- Photoshop
- Modern and historic art
- Book binding
- Book layout/Grids
Learning experience
6/10
Difficulty of projects
7/10
Class atmosphere
4/10
Teacher experience
5/10
Expenses
10/10
Quality of education
9/10
Retained information
7/10
Overall learning experience
7/10
Most favourite subject
Motion graphics
Sleep patterns
3/10


Connecting
Have you tried using any of the insight and techniques for growing trust and sincerity? How did it go?
In my role as a middle manager I hope that I practised a lot of what is covered in this chapter. This position in any organisation is one that requires good communication and empathy. Putting yourself in another person's shoes and the ability to listen empathetically, I think are the two most important attributes of an effective manager. I have often presented collective ideas to senior management, and I would not have been able to do so with sincerity had I not first gained an empathetic undrstanding of people's perspectives. It is always a rewarding experience to listen to another person as they open up their thoughts and feelings to you.
Try empathic listening - how did it go?
I consciously thought about these strategies while I talked to a friend on the phone. It occured to me that we are genuinely open with eachother and have no trouble putting ourselves in each other's shoes to offer feedback on our well being. So I'd say that a lot of these strategies happen naturally between good friends, although the language provided in the book makes these conversations more explicit.
How did you find the loving kindness meditation?
I enjoyed it. As with all of the meditation exercises I appreciated the opportunity to practice. Meng wants to achieve world peace. I want to encourage all young people to view the future with optimism, as full of opportunity and great, amazing things. There is a lot in the press about how how human beings have ruined the world and the end is coming. That's way too big a burden for them to carry. Wishing them happiness is a good first step.
Any other musings?
The book is well put together in that every subsequent chapter can be brought back to the process of mindfulness in meditation, bringing your focus inward through a focus on breathing, and then outward through a non-judgemental attitude to the world around you.


Umbraco Productivity Extension Options
Show legacy "debug & show trace" (only works with masterpages, not with MVC)
Open the backoffice in a new tab?
Save


Emperor, empress visit Ise shrine to complete 2 enthronement rites
TSU, Mie — Emperor Naruhito and Empress Masako visited Ise Jingu, a Shinto shrine in Mie Prefecture, on Friday to mark the completion of two major rites signifying the emperor's enthronement.
The couple offered prayers at the Geku outer shrine dedicated to the goddess of clothing, food, and housing, with the emperor dressed in "Korozen no goho," a dark orange robe, and the empress in a layered court kimono.
After ascending to the Chrysanthemum Throne on May 1, the emperor proclaimed his enthronement before international guests in the "Sokuirei Seiden no gi" ceremony in October and performed earlier this month the "Daijosai" Great Thanksgiving rite, offering new harvests to gods.
The latest visit is to ceremonially report to the gods the completion the two major rites.
Emperor Naruhito traveled within the extensive shrine precincts in the same horse-drawn carriage used by his father, former Emperor Akihito, during his visit 29 years ago, while Empress Masako, who is allergic to horses, used a vehicle instead.
The two will visit the Naiku inner shrine dedicated to the sun goddess Amaterasu, the mythical ancestress of the imperial family, on Saturday morning before returning to Tokyo later in the day.
They will travel again to Nara and Kyoto from Tuesday through Thursday to visit mausoleums of past emperors.
© KYODO


NAME
zipmerge —
merge zip archives
SYNOPSIS
| zipmerge |
[-DhIiSsV]
target-zip source-zip
[source-zip ...] |
DESCRIPTION
zipmerge merges the source zip archives
source-zip into the target zip archive
target-zip. By default, files in the source zip archives
overwrite existing files of the same name in the target zip archive.
Supported options:
-
-
- -D
- Ignore directory components in file name comparisons. This
option is slow for archives with many files.
-
-
- -h
- Display a short help message and exit.
-
-
- -I
- Ignore case in file name comparisons This option is slow
for archives with many files.
-
-
- -i
- Ask before overwriting files. See also
-s.
-
-
- -S
- Do not overwrite files that have the same size and CRC32 in
both the source and target archives.
-
-
- -s
- When -i is given, do not before
overwriting files that have the same size and CRC32.
-
-
- -V
- Display version information and exit.
EXIT STATUS
zipmerge exits 0 on success and >1 if an error occurred.
SEE ALSO
zipcmp(1),
ziptool(1),
libzip(3)
HISTORY
zipmerge was added in libzip 0.6.
AUTHORS
Dieter Baron
<
<EMAIL_ADDRESS>and
Thomas Klausner
<
tk@giga.or.at>


vignettes/articles/schema.Rmd
schema.Rmd
taxadb
relies on a set of pre-assembled tables following a set of standardized schema layouts using Darwin Core vocabulary, as outlined below. The database dumps provided by providers supported in taxadb
at this time are:
itis
: The Integrated Taxonomic Information System
col
: The Catalogue of Life
ncbi
: The National Center for Biotechnology Information
gbif
: The Global Biodiversity Information Facility
tpl
: The Plant List
fb
: FishBase
slb
: SeaLifeBase
wd
: WikiData
iucn
: The IUCN Red List of endangered species statusott
: Open Tree of Life taxonomy.Note that col
, gbif
, ott
, are explicitly synthesis projects integrating the databases of names from a range of (many) other providers, while itis
, iucn
, ncbi
, tpl
, fb
, and slb
are independent name providers. The synthetic or integrated name lists are not a complete substitute for the databases they integrate, owing to both differences in how up-to-date the relative records are as well as to either expert disagreements or algorithmic miss-matches. taxadb
makes no attempt to provide an opinion or reconciliation mechanism to any of these issues, but only to provide convenient access to data and functions for manipulating these records in a fast and consistent manner.
These providers provide taxonomic data in a wide range of database formats using a wide range of data layouts (schemas), not all of which are particularly easy to use or interpret (e.g. hierarchies are often but not always specified in taxon_id,parent_id
pairs.) To make it faster and easier to work across these providers, taxadb
defines a common set of table schemas outlined below that are particularly suited for efficient computation of common tasks. taxadb
pre-processes and publicly archives compressed, flat tables corresponding to each of these schema for each of these providers.
Most common operations can be expressed in terms of standard database operations, such as simple filtering joins in SQL. To implement these, taxadb
imports the compressed flat files into a local, column-oriented database, MonetDBLite
, which can be installed entirely as an R package with no additional server setup required. This provides a persistent store, and ensures that operations can be performed on disk since the taxonomic tables considered here are frequently too large to store in active memory. The columnar structure enables blazingly fast joins. Once the database is created, taxadb
simply wraps a set of user-friendly R functions around common SQL
queries, implemented in the popular dplyr
syntax. By default, taxadb
will always collect the results of these queries to return familiar, in-memory objects to the R user. Optional arguments allow more direct access the database queries.
taxadb
relies on the Simple Darwin Core Namespace for Taxon objects, http://rs.tdwg.org/dwc/terms/ [@dwc]. This is the mostly widely recognized format for exchange of taxonomic information
taxonID
: a unique id for the name (including provider prefix). Note that some providers do not assign IDs to synonyms, but only to accepted names. In this case, the taxonID
should be NA
, and the ID to the accepted name should be specified in acceptedNameUsageID
.scientificName
: a Latin name, either accepted or known synonym, at the lowest resolved level for the taxon. While DWC encourages the use of authorship citations, these are intentionally omitted in most tables as inconsistency in abbreviations and formatting make names with authors much harder to resolve. When available, this information is provided in the additional optional columns using the corresponding Darwin Core terms.taxonRank
: the rank (as given by the provider) of this taxon.acceptedNameUsageID
the accepted identifier. For synonyms, the scientificName of the row with the corresponding taxonID
gives the accepted name, according to the data provider in question. For accepted names, this is identical to the taxonID
for the name. If not provided, it is assumed this is the same as the taxonID
.taxonomicStatus
Either “accepted”, for an accepted scientific name, or a term indicating if the name is a known synonym, common misspelling, etc.Some providers may report additional optional columns, see below.
taxa_tbl("itis")
#> # Source: table<itis> [?? x 15]
#> # Database: MonetDBEmbeddedConnection
#> taxonID acceptedNameUsa… update_date scientificName taxonRank
#> <chr> <chr> <chr> <chr> <chr>
#> 1 ITIS:1… ITIS:50 2015-03-02 Spirillum bei… species
#> 2 ITIS:1… ITIS:724028 2007-06-14 Hypogastrura … species
#> 3 ITIS:1… ITIS:724028 2007-06-14 Achorutes jon… species
#> 4 ITIS:1… ITIS:804239 2016-04-01 Niponius itoi species
#> 5 ITIS:1… ITIS:804276 2016-04-01 Chlamydopsis … species
#> 6 ITIS:1… ITIS:804277 2016-04-01 Chlamydopsis … species
#> 7 ITIS:1… ITIS:804279 2016-04-01 Chlamydopsis … species
#> 8 ITIS:1… ITIS:804309 2016-04-01 Chlamydopsis … species
#> 9 ITIS:1… ITIS:804309 2016-04-01 Chlamydopsis … species
#> 10 ITIS:1… ITIS:724073 2007-06-14 Hypogastrura … species
#> # … with more rows, and 10 more variables: taxonomicStatus <chr>,
#> # kingdom <chr>, phylum <chr>, class <chr>, order <chr>, family <chr>,
#> # genus <chr>, specificEpithet <chr>, vernacularName <chr>,
#> # infraspecificEpithet <chr>
Darwin Core defines several commonly recognized ranks as possible Taxon properties as well: kingdom
, phylum
, class
, order
, family
, genus
, specificEpithet
, and intraspecificEpithet
. Additionally, the taxonomic rank of any scientific name can be specified under taxonRank
, whether or not it is one of these names.
Semantically (specifically in the RDF sense), treating ranks as properties seems somewhat crude. Database providers (and thus different experts) disagree both about what rank levels they recognize and what names belong in what ranks. NCBI recognizes over 40 named ranks and numerous unnamed ranks. OTT, in true cladistic fashion, identifies all mammals as being not only in the class “Mammalia”, but also in the “class” of lobe-finned-fish, Sarcopterygii. To distinguish between these different treatments, it would be semantically most consistent to associate a (or multiple) taxonRankID
with each taxonomic entry, rather than a a taxonRank. This ID could be specific to the data provider, and indicate the rank name that provider associates with that rank. Few (wikidata, with its strong RDF roots, is an exception) providers associate IDs with rank levels though.
In practice, treating ranks as properties (i.e. as column headings) is far more consistent with typical scientific usage and convenient for common applications, such as generating a list of all birds or all frogs by a simple filter on names in a column.
The taxonomicStatus
value indicates if the name provided is a synonym, misspelling or an accepted name. taxadb
does not enforce any controlled vocabulary on the use of these terms beyond using the term accepted
to indicate that the scientificName
is an accepted name (i.e. the dwc:acceptedNameUsage
) for the taxon. Including both accepted names and synonyms in the scientificName
column greatly facilitates taxonomic name resolution: a user can just perform an SQL filtering join from a given list of names and the taxadb table in order to resolve names to identifiers (acceptedNameUsageID
s).
Hierarchical information is given using the accepted name classification for synonyms as well as accepted names. This makes it possible to filter a table by some major group:
birds <- taxa_tbl() %>% filter(class=="Aves")
birds %>% head()
#> # Source: lazy query [?? x 15]
#> # Database: MonetDBEmbeddedConnection
#> taxonID acceptedNameUsa… update_date scientificName taxonRank
#> <chr> <chr> <chr> <chr> <chr>
#> 1 ITIS:1… ITIS:562791 2016-04-29 Rollandia mic… species
#> 2 ITIS:1… ITIS:176409 2016-04-29 Ardea helias species
#> 3 ITIS:1… ITIS:707807 2016-04-29 Mesites varie… species
#> 4 ITIS:1… ITIS:561100 2016-04-29 Mesites unico… species
#> 5 ITIS:1… ITIS:561100 2016-04-29 Mesoenas unic… species
#> 6 ITIS:1… ITIS:707807 2016-04-29 Mesoenas vari… species
#> # … with 10 more variables: taxonomicStatus <chr>, kingdom <chr>,
#> # phylum <chr>, class <chr>, order <chr>, family <chr>, genus <chr>,
#> # specificEpithet <chr>, vernacularName <chr>,
#> # infraspecificEpithet <chr>
before joining against either synonym or accepted name, and also makes it easier to see what the accepted name for a synonym:
birds %>%
filter(taxonomicStatus != "accepted") %>%
select(scientificName, taxonomicStatus, genus, specificEpithet) %>%
head()
#> # Source: lazy query [?? x 4]
#> # Database: MonetDBEmbeddedConnection
#> scientificName taxonomicStatus genus specificEpithet
#> <chr> <chr> <chr> <chr>
#> 1 Rollandia micropterum synonym Rollandia microptera
#> 2 Ardea helias synonym Eurypyga helias
#> 3 Mesites variegata synonym Mesitornis variegatus
#> 4 Mesites unicolor synonym Mesitornis unicolor
#> 5 Mesoenas unicolor synonym Mesitornis unicolor
#> 6 Mesoenas variegata synonym Mesitornis variegatus
Common names are available from several providers, but tidy tables for taxadb
have not yet been implemented. Common names tables are expected to follow the following schema:
id
The taxonomic identifier for the species (or possibly other rank)name
The common name / vernacular namelanguage
The language in which the common name is given, if known. (all lowercase)language_code
the two-letter language code.taxadb
tables can easily be interpreted as semantic data and will be made available as RDF triples. This permits the richer SPARQL-based queries of taxonomic information, in addition to the SQL-based queries. This data format will be the focus of a separate R package interface taxald
.
ITIS:
, GBIF:
, etc.


A listing of public libraries on twitter. Data sourced from Google sheet compiled by @JuliaC2 and @ShedSue, with crowd-souced contributions. Additional data from Twitter to show activity. If any accounts are missing, contribute on the Google sheet.
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B C D G H M S T
All Classes All Packages
All Classes All Packages
All Classes All Packages
S
- setDimension1(double) - Method in class Circle
-
The setDimension1 method is used to set the value of dimension1 to the parameter.
- setDimension1(double) - Method in class Cube
-
The setDimension1 method is used to set the value of dimension1 to the parameter.
- setDimension1(double) - Method in class Sphere
-
The setDimension1 method is used to set the value of dimension1 to the parameter.
- setDimension1(double) - Method in class Square
-
The setDimension1 method is used to set the value of dimension1 to the parameter.
- setDimension1(double) - Method in class Tetrahedron
-
The setDimension1 method is used to set the value of dimension1 to the parameter.
- setDimension1(double) - Method in interface ThreeDimensionalShape.ThreeDimensionalInterface
-
The setDimension1 method is used to set the value of dimension1 to the parameter.
- setDimension1(double) - Method in class Triangle
-
The setDimension1 method is used to set the value of dimension1 to the parameter.
- setDimension1(double) - Method in interface TwoDimensionalShape.TwoDimensionalShapeInterface
-
The setDimension1 method is used to set the value of dimension1 to the parameter.
- setDimension2(double) - Method in class Circle
-
The setDimension2 method is used to set the value of dimension2 to the parameter.
- setDimension2(double) - Method in class Cube
-
The setDimension2 method is used to set the value of dimension2 to the parameter.
- setDimension2(double) - Method in class Sphere
-
The setDimension2 method is used to set the value of dimension2 to the parameter.
- setDimension2(double) - Method in class Square
-
The setDimension2 method is used to set the value of dimension2 to the parameter.
- setDimension2(double) - Method in class Tetrahedron
-
The setDimension2 method is used to set the value of dimension2 to the parameter.
- setDimension2(double) - Method in interface ThreeDimensionalShape.ThreeDimensionalInterface
-
The setDimension2 method is used to set the value of dimension2 to the parameter.
- setDimension2(double) - Method in class Triangle
-
The setDimension2 method is used to set the value of dimension2 to the parameter.
- setDimension2(double) - Method in interface TwoDimensionalShape.TwoDimensionalShapeInterface
-
The setDimension2 method is used to set the value of dimension2 to the parameter.
- setDimension3(double) - Method in class Cube
-
The setDimension3 method is used to set the value of dimension3 to the parameter.
- setDimension3(double) - Method in class Sphere
-
The setDimension3 method is used to set the value of dimension3 to the parameter.
- setDimension3(double) - Method in class Tetrahedron
-
The setDimension3 method is used to set the value of dimension3 to the parameter.
- setDimension3(double) - Method in interface ThreeDimensionalShape.ThreeDimensionalInterface
-
The setDimension3 method is used to set the value of dimension3 to the parameter.
- Shape - Class in <Unnamed>
-
This class is used for other classes to get the shapeInterface.
- Shape() - Constructor for class Shape
- Shape.shapeInterface - Interface in <Unnamed>
-
The shape interface has one required method, toString.
- ShapesTestMain - Class in <Unnamed>
- ShapesTestMain() - Constructor for class ShapesTestMain
- Sphere - Class in <Unnamed>
-
the Sphere class inherits from threeDimensionalShape and implements the ThreeDimensionalShape interface.
- Sphere() - Constructor for class Sphere
-
The blank sphere constructor makes a unit square with dimensions all equal to 1
- Sphere(double) - Constructor for class Sphere
-
The sphere constructor with 1 argument is used to create a sphere object with the dimension1 set to the parameter.
- Sphere(double, double) - Constructor for class Sphere
-
The sphere constructor with 2 arguments is used to create a sphere with dimensions set to the passed values.
- Sphere(double, double, double) - Constructor for class Sphere
-
The sphere constructor with 2 arguments is used to create a sphere with dimensions set to the passed values.
- Square - Class in <Unnamed>
-
the Square class inherits from twoDimensionalShape and implements the TwoDimensionalShape interface.
- Square() - Constructor for class Square
-
The blank square constructor makes a unit square with dimensions all equal to 1
- Square(double) - Constructor for class Square
-
The square constructor with 1 argument is used to create a square object with the dimension1 set to the parameter.
- Square(double, double) - Constructor for class Square
-
The square constructor with 2 arguments is used to create a square with dimensions set to the passed values.
All Classes All Packages


Week 5 has been all about creating Ruby classes. Classes are defined when you have a group of objects that need to be stored in a larger category. This may be hard to understand at first but I have posted a video and provided an example below to help you better understand.
For this example I would like to find out your favorite Football team and a little about them. First, we will define a class that we will name Nfl_team like so:
Next we will need to initialize our Nfl_object with a city, team name, and starting quarter back.
Now we will need to create some methods to return a value
At this point your methods will return the value associated with it. You can now insert these values into a nice string to be displayed for the user. Like so:
So that is how Ruby classes work in a nutshell. Hopefully now you have a general idea how classes work and can go create your own!


Class Wizard: Intro
The Class Wizard lets you add, edit, or delete classes for the current file. Each object in a file is of a certain class. The class determines what icon an object will have, what properties are associated with the object, how the name will be parsed, if the children will be sorted automatically, etc.
To start the Class Wizard, click on the Class Wizard button on the main toolbar (bmc btnClassWizard.bmp), or select Object / Class Wizard... from the main menu.
Note: All changes made to classes only apply to the current file!
| Add | To add a new class, select the option Add a new class, then click on the Next button to go to the next step of the wizard. |
| Edit | To edit a class, select the option Edit or delete an existing class, select the class you want to edit from the list, then click on the Next button. |
| Delete | To delete a class, select the option Edit or delete an existing class, select the class you want to delete from the list, then click on the Delete button. When you're done, click on the Cancel button to exit the class wizard. |
Note: For all your input to be saved properly, you must complete all the steps of the wizard, and click on the Finish button in the last step.
Click the >> and << buttons above to walk through the class wizard help topics.


| 接口 | 说明 |
|---|---|
| Aggregator<A extends org.apache.hadoop.io.Writable> |
Interface for Aggregator.
|
| AggregatorUsage |
Master and workers can access aggregators through this interface.
|
| AggregatorWriter |
An AggregatorWriter is used to export Aggregators during or at the end of
each computation.
|
| 类 | 说明 |
|---|---|
| AggregatorWrapper<A extends org.apache.hadoop.io.Writable> |
Wrapper for aggregators.
|
| BasicAggregator<A extends org.apache.hadoop.io.Writable> |
Abstract class for
Aggregator . |
| BooleanAndAggregator |
Aggregator for calculating the AND function over boolean values.
|
| BooleanOrAggregator |
Aggregator for calculating the OR function over boolean values.
|
| BooleanOverwriteAggregator |
Aggregator that stores a value that is overwritten once another value is
aggregated.
|
| DoubleMaxAggregator |
Aggregator for getting max double value.
|
| DoubleMinAggregator |
Aggregator for getting min double value.
|
| DoubleOverwriteAggregator |
Aggregator that stores a value that is overwritten once another value is
aggregated.
|
| DoubleProductAggregator |
Aggregator for calculating products of double values.
|
| DoubleSumAggregator |
Aggregator for summing up double values.
|
| FloatMaxAggregator |
Aggregator for getting max float value.
|
| FloatMinAggregator |
Aggregator for getting min float value.
|
| FloatOverwriteAggregator |
Aggregator that stores a value that is overwritten once another value is
aggregated.
|
| FloatProductAggregator |
Aggregator for calculating products of float values.
|
| FloatSumAggregator |
Aggregator for summing up float values.
|
| IntMaxAggregator |
Aggregator for getting max integer value.
|
| IntMinAggregator |
Aggregator for getting min integer value.
|
| IntOverwriteAggregator |
Aggregator that stores a value that is overwritten once another value is
aggregated.
|
| IntProductAggregator |
Aggregator for calculating products of long and integer values.
|
| IntSumAggregator |
Aggregator for summing up integer values.
|
| LongMaxAggregator |
Aggregator for getting max long value.
|
| LongMinAggregator |
Aggregator for getting min long value.
|
| LongOverwriteAggregator |
Aggregator that stores a value that is overwritten once another value is
aggregated.
|
| LongProductAggregator |
Aggregator for calculating products of long values.
|
| LongSumAggregator |
Aggregator for summing up long values.
|
| TextAggregatorWriter |
Default implementation of
AggregatorWriter . |
| TextAppendAggregator |
Aggregator with
Text as its value which keeps appending text to it |
Copyright © 2011-2013 The Apache Software Foundation. All Rights Reserved.


Then internet-handling fees may levied over the tickets. Please check the total amount before payment.
The tickets are not cancellable from December 10th. Refund Policy is as given below.
Bus tickets are not exchangeable or refundable or cancellable.
Event can be rescheduled, cancelled, shifted at the sole discretion of Karloom Entertainments.
Usage or possession of any kinds of drugs are strictly prohibited
Any kinds of single-use plastics are not allowed inside the festival premises.
Organizers reserve the rights to perform security checks at the festival
Wrist band given should be worn all through the festival time
Alcohol will not be sold at the venue. This is an alcohol-free festival. We recommend to refrain
from the consumption of the same during the festival for the better experience.
Refund Policy
Full Refund if you cancel before 21st November
Half Refund if you cancel before 10th December
No Refund if you cancel after 10th December
Please note that internet handling fee will not be refunded.


This intention converts selected qualified reference into simple reference and adds corresponding
static import
for that reference.


Debra A. Gschwind
Debra A. Gschwind age 64 of Lone Rock passed away unexpectedly on Sunday, November 3, 2019 at the UW Hospital in Madison.
She was born on August 27, 1955 in Chicago, IL the daughter of Peter and Marlene (Reichardt) Muscarello. Debra liked gardening, crocheting, playing cards, spending time with her grandchildren and family and all the holidays.
Survivors include her 4 sons, Jeffrey (Jennifer) Gschwind of Virginia Suffolk, VA, Michael Gschwind of Lone Rock, Christopher Gschwind of Richland Center, Justin Gschwind of Wyoming Valley, 5 grandchildren, Trinity, Magdalene, Sandor, Ethan and Silverio, 2 brothers, Peter Jr. (Brenda) Muscarello of Silver Lake, WI, Kelly Muscarello and Kris Larson of Richland Center, Janet Muscarello of Richland Center, her significant other, Craig Cleary of Lone Rock, other relatives and friends.
She was preceded in death by her parents, Peter and Marlene and her husband, Jeffrey Gschwind Sr.
A memorial service will be held on Saturday, November 16, 2019 at 2:00 P.M. at the Richardson-Stafford Funeral Home in Spring Green. Rev. Craig Peach will officiate. Visitation will be held on Saturday, November 16, 2019 at the funeral home from 1:00 P.M. until the time of service.
Online condolences available at www.staffordfuneralhomes.com.
The Richardson-Stafford Funeral Home is assisting the family with the arrangements.


We are a group of Berkeley neighbors who want a better city for everyone.
We know climate change is the foremost threat to the planet, and transportation is the single greatest source of greenhouse gas emissions in both Berkeley and California.
We know Berkeley's housing shortage directly contributes to these high emissions by forcing middle- and low-income workers into increasingly long and miserable commutes.
Therefore, we believe we must create more homes in Berkeley, for all income levels. This is the most environmentally sound and socially equitable solution to our shared housing and climate crises.
Our common destiny is our shared opportunity. We believe that by creating transit-rich, diverse, and walkable neighborhoods, we can be a regional leader in tackling climate change while becoming a more affordable and equitable city for ourselves and future generations.
Join us and let’s get to work!


A self-proclaimed genius who will correct your pronunciation for free.
An intrepid beast with a heart of gold and a brain like a peanut.
Always speaking her mind, her tongue often lands her in trouble.
It is CORRRR-RECT, not COOOOOOOO-RECT.
Are you saying I'm fat?
I don't mind and you don't matter.


|
GrPPI
0.2
Generic and Reusable Parallel Pattern Interface
|
GrPPI is a header-only library. Consequently no build process is required for the library itself.
However, GrPPI includes CMake scripts for supporting the following actions:
To setup the build scripts we recommend that you create an out-of-source directory under the GrPPI root directory:
Then, you may generate the scripts by just doing:
Important Note: Be sure to invoke make once before modifying you CMakeCache.txt
file. This will allow CMake to compile and setup dependent libraries (e.g. GoogleTest).
To build the unit tests, you need to set configuration variable GRPPI_UNIT_TEST_ENABLE
to ON
. You can do so be using the CMake GUI or by typing:
Then, you can build the unit tests by typing:
You may want to disable specific back ends. GrPPI offers specific variables to control this issue:
GRPPI_OMP_ENABLE
: Enable/disable OpenMP back end.GRPPI_TBB_ENABLE
: Enable/disable TBB back end.To run all the unit tests you can do:
or alternatively:
To perform a coverage analysis type:
The coverage HTML reports are generated under unit_tests/mycov/index.html
.
Documentation generation is disabled by default. However, if you wish to build the documentation yourself, you may enable the option:
This will generate a doc directory under your build tree with the generated documentation.
Note: You will need a doxygen in your system to make use of this option. You will also need graphviz.
GrPPI includes a number of example programs under directory samples. To build all samples you may use:
If you want to install GrPPI in your system you can select to install in the default directory:
This will install the header files under /usr/local/include/grppi
You can specify a different install directory to CMake:
For using GrPPI you need a C++14 compliant compiler.
GrPPI has been tested with the following compilers:
If you want to use a different compiler than the default one, you can specify it by doing:
Miminal support of GrPPI requires the following libraries.
In order to use the Intel Threading Building Blocks (TBB) back-end you need to install the following library:
For unit testing GrPPI uses the GoogleTest framework. However you do not need to install it yourself. The framework is locally downloaded and compiled in your build tree to ensure that the right version is used. For more details see section (building).
If you want to run unit tests and perform coverage analysis you will need:


|
|---|
| Paul, and Silvanus, and Timotheus, unto the church of the Thessalonians which is in God the Father and in the Lord Jesus Christ: Grace be unto you, and peace, from God our Father, and the Lord Jesus Christ.
|
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| ᏉᎳ ᎠᎴ ᏌᏱᎳ ᎠᎴ ᏗᎹᏗ ᏫᏨᏲᏪᎳᏏ ᏗᏣᏁᎶᏗ ᎢᏣᏓᏡᎬ ᏕᏏᎶᏂᎦ ᎾᏍᎩ ᎡᏦᎯᏳᎲᏍᎩ ᎤᏁᎳᏅᎯ ᎠᎦᏴᎵᎨᎢ, ᎠᎴ ᎤᎬᏫᏳᎯ ᏥᏌ ᎦᎶᏁᏛ; ᎬᏩᎦᏘᏯ ᎤᏓᏙᎵᏍᏗ ᎨᏒ ᎠᎴ ᏅᏩᏙᎯᏯᏛ ᎨᏤᎳᏗᏙᎮᏍᏗ ᏅᏓᏳᎾᎵᏍᎪᎸᏔᏅᎯ ᎤᏁᎳᏅᎯ ᎢᎩᏙᏓ ᎠᎴ ᎤᎬᏫᏳᎯ ᏥᏌ ᎦᎶᏁᏛ.
|
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Quo-la a-le Sa-yi-la a-le Di-ma-di wi-tsv-yo-we-la-si di-tsa-ne-lo-di i-tsa-da-tlu-gv De-si-lo-ni-ga na-s-gi e-tso-hi-yu-hv-s-gi U-ne-la-nv-hi A-ga-yv-li-ge-i, a-le U-gv-wi-yu-hi Tsi-sa Ga-lo-ne-dv; gv-wa-ga-ti-ya u-da-do-li-s-di ge-sv a-le nv-wa-do-hi-ya-dv ge-tse-la-di-do-he-s-di nv-da-yu-na-li-s-go-lv-ta-nv-hi U-ne-la-nv-hi I-gi-do-da a-le U-gv-wi-yu-hi Tsi-sa Ga-lo-ne-dv.
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|
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| We give thanks to God always for you all, making mention of you in our prayers;
|
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| ᎣᏣᎵᎡᎵᏤᎰ ᎤᏁᎳᏅᎯ ᏂᎪᎯᎸ ᏂᎯ ᏂᏥᎥ ᏅᏗᎦᎵᏍᏙᏗᏍᎪᎢ, ᎢᏨᏁᎢᏍᏗᏍᎪ ᎣᏣᏓᏙᎵᏍᏗᏍᎬᎢ;
|
|---|
O-tsa-li-e-li-tse-ho U-ne-la-nv-hi ni-go-hi-lv ni-hi ni-tsi-v nv-di-ga-li-s-do-di-s-go-i, i-tsv-ne-i-s-di-s-go o-tsa-da-do-li-s-di-s-gv-i;
|
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|
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| Remembering without ceasing your work of faith, and labour of love, and patience of hope in our Lord Jesus Christ, in the sight of God and our Father;
|
|---|
| ᏃᎬᎨᏫᏍᎬᎾ ᎣᏣᏅᏓᏗᏍᎪ ᏕᏥᎸᏫᏍᏓᏁᎲ ᎢᏦᎯᏳᏒ ᏅᏓᏳᏓᎴᏅᎯ, ᎠᎴ ᎢᏣᎵᏂᎬᏁᎲ ᎠᏓᎨᏳᏗ ᎨᏒ ᏅᏓᏳᏓᎴᏅᎯ, ᎠᎴ ᏗᏨᏂᏗᏳ ᎨᏒ ᎤᏚᎩ ᎡᏨᏒ ᎤᎬᏫᏳᎯ ᎢᎦᏤᎵ ᏥᏌ ᎦᎶᏁᏛ, ᎤᏁᎳᏅᎯ ᎠᎦᏔᎲ ᎾᏍᎩ ᎢᎩᏙᏓ;
|
|---|
No-gv-ge-wi-s-gv-na o-tsa-nv-da-di-s-go de-tsi-lv-wi-s-da-ne-hv i-tso-hi-yu-sv nv-da-yu-da-le-nv-hi, a-le i-tsa-li-ni-gv-ne-hv a-da-ge-yu-di ge-sv nv-da-yu-da-le-nv-hi, a-le di-tsv-ni-di-yu ge-sv u-du-gi e-tsv-sv U-gv-wi-yu-hi i-ga-tse-li Tsi-sa Ga-lo-ne-dv, U-ne-la-nv-hi a-ga-ta-hv na-s-gi I-gi-do-da;
|
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| Knowing, brethren beloved, your election of God.
|
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| ᎾᏍᎩ ᏦᏥᎦᏔᎭ, ᎢᏓᎵᏅᏟ ᎤᏁᎳᏅᎯ ᎢᏥᎨᏳᎯ, ᎡᏣᏑᏰᏛ ᎨᏒᎢ.
|
|---|
Na-s-gi tso-tsi-ga-ta-ha, i-da-li-nv-tli U-ne-la-nv-hi i-tsi-ge-yu-hi, e-tsa-su-ye-dv ge-sv-i.
|
|---|
|
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| For our gospel came not unto you in word only, but also in power, and in the Holy Ghost, and in much assurance; as ye know what manner of men we were among you for your sake.
|
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| ᎣᏍᏛᏰᏃ ᎧᏃᎮᏛ ᎣᎦᏤᎵᎦ ᎥᏝ ᎧᏁᏨᎯᏉ ᎨᏒ ᏱᏥᎷᎯᏍᏓᏁᎴᎢ, ᎤᎵᏂᎩᏗᏳᏍᎩᏂ ᎨᏒ ᎾᏍᏉ ᏔᎵ ᎤᏛᏛᎢ, ᎠᎴ ᎦᎸᏉᏗᏳ ᎠᏓᏅᏙ, ᎠᎴ ᎤᏣᏘ ᏄᏜᏓᏏᏛᏒᎾ ᎨᏒᎢ; ᎾᏍᎩᏯ ᏥᏥᎦᏔᎭ ᏃᎦᏍᏛ ᎢᏨᏰᎳᏗᏙᎸ ᏂᎯ ᏥᏅᏓᎦᎵᏍᏙᏗᏍᎬᎩ.
|
|---|
O-s-dv-ye-no ka-no-he-dv o-ga-tse-li-ga v-tla ka-ne-tsv-hi-quo ge-sv yi-tsi-lu-hi-s-da-ne-le-i, u-li-ni-gi-di-yu-s-gi-ni ge-sv na-s-quo ta-li u-dv-dv-i, a-le Ga-lv-quo-di-yu A-da-nv-do, a-le u-tsa-ti nu-dla-si-dv-sv-na ge-sv-i; na-s-gi-ya tsi-tsi-ga-ta-ha no-ga-s-dv i-tsv-ye-la-di-do-lv ni-hi tsi-nv-da-ga-li-s-do-di-s-gv-gi.
|
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|
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| And ye became followers of us, and of the Lord, having received the word in much affliction, with joy of the Holy Ghost:
|
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| ᎠᎴ ᎠᏴ ᏍᎩᏍᏓᏩᏕᎩ ᏂᏣᎵᏍᏔᏅᎩ, ᎠᎴ ᎤᎬᏫᏳᎯ [ᎡᏥᏍᏓᏩᏕᎩ,] ᏕᏣᏓᏂᎸᏨ ᎧᏃᎮᏛ ᎤᏣᏘ ᎢᏥᎩᎵᏲᎬᎢ, ᎤᎵᏠᏯᏍᏛ ᎤᎵᎮᎵᏍᏗ ᎨᏒ ᎦᎸᏉᏗᏳ ᎠᏓᏅᏙ ᏅᏓᏩᏓᎴᏅᎯ;
|
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A-le a-yv s-gi-s-da-wa-de-gi ni-tsa-li-s-ta-nv-gi, a-le U-gv-wi-yu-hi [e-tsi-s-da-wa-de-gi,] de-tsa-da-ni-lv-tsv ka-no-he-dv u-tsa-ti i-tsi-gi-li-yo-gv-i, u-li-tlo-ya-s-dv u-li-he-li-s-di ge-sv ga-lv-quo-di-yu A-da-nv-do nv-da-wa-da-le-nv-hi;
|
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|
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| So that ye were ensamples to all that believe in Macedonia and Achaia.
|
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| ᎾᏍᎩᏃ ᏧᎾᏟᎶᏍᏙᏗ ᏂᏣᎵᏍᏔᏅᎩ ᎾᏂᎥ ᎠᏃᎯᏳᎲᏍᎩ ᎹᏏᏙᏂ ᎠᏁᎯ ᎠᎴ ᎡᎦᏯ ᎠᏁᎯ.
|
|---|
Na-s-gi-no tsu-na-tli-lo-s-do-di ni-tsa-li-s-ta-nv-gi na-ni-v a-no-hi-yu-hv-s-gi Ma-si-do-ni a-ne-hi a-le E-ga-ya a-ne-hi.
|
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|
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| For from you sounded out the word of the Lord not only in Macedonia and Achaia, but also in every place your faith to God-ward is spread abroad; so that we need not to speak any thing.
|
|---|
| ᏂᎯᏰᏃ ᎢᏤᎲ ᎤᏓᎴᏅᎩ ᎤᏃᏴᎵᏒᎩ ᎧᏃᎮᏛ ᎤᎬᏫᏳᎯ ᎤᏤᎵᎦ, ᎥᏝ ᎹᏏᏙᏂᏉ ᎠᎴ ᎡᎦᏯ ᎤᏩᏒ ᏱᏭᎷᏤᎢ, ᎾᏍᏉᏍᎩᏂ ᏂᎦᎥ ᏕᎨᏌᏗᏒ ᎤᏁᎳᏅᎯ ᎡᏦᎢᏳᏒ ᏚᏰᎵᏒ; ᎾᏍᎩ ᎢᏳᏍᏗ ᎥᏝ ᎠᏎ ᎪᎱᏍᏗ ᎣᎦᏛᏗ ᏱᎩ.
|
|---|
Ni-hi-ye-no i-tse-hv u-da-le-nv-gi u-no-yv-li-sv-gi ka-no-he-dv U-gv-wi-yu-hi u-tse-li-ga, v-tla Ma-si-do-ni-quo a-le E-ga-ya u-wa-sv yi-wu-lu-tse-i, na-s-quo-s-gi-ni ni-ga-v de-ge-sa-di-sv U-ne-la-nv-hi e-tso-i-yu-sv du-ye-li-sv; na-s-gi i-yu-s-di v-tla a-se go-hu-s-di o-ga-dv-di yi-gi.
|
|---|
|
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| For they themselves shew of us what manner of entering in we had unto you, and how ye turned to God from idols to serve the living and true God;
|
|---|
| ᎤᏅᏒᏰᏃ ᎬᏂᎨᏒ ᏂᎪᎬᏁᎭ ᏄᏍᏛ ᏫᏨᎷᏤᎸᎢ, ᎠᎴ ᏂᏣᏛᏁᎸ ᎤᏁᎳᏅᎯ ᎢᏗᏢ ᎢᏣᎦᏔᎲᏍᏔᏅ ᏕᏥᏲᏒ ᎤᏁᎳᏅᎯ ᏗᏰᎸᎯ, ᏗᏥᎧᎿᎭᏩᏛᏍᏗᏱ ᎬᏃᏛ ᎠᎴ ᎤᏙᎯᏳᎯᏯ ᎤᏁᎳᏅᎯ ᏥᎩ;
|
|---|
U-nv-sv-ye-no gv-ni-ge-sv ni-go-gv-ne-ha nu-s-dv wi-tsv-lu-tse-lv-i, a-le ni-tsa-dv-ne-lv U-ne-la-nv-hi i-di-tlv i-tsa-ga-ta-hv-s-ta-nv de-tsi-yo-sv U-ne-la-nv-hi di-ye-lv-hi, di-tsi-ka-hna-wa-dv-s-di-yi gv-no-dv a-le u-do-hi-yu-hi-ya U-ne-la-nv-hi tsi-gi;
|
|---|
|
|---|
| And to wait for his Son from heaven, whom he raised from the dead, even Jesus, which delivered us from the wrath to come.
|
|---|
| ᎠᎴ ᎡᏥᎦᏘᏗᏍᏗᏱ ᎾᏍᎩ ᎤᏪᏥ ᎦᎸᎳᏗ ᏅᏓᏳᎶᎯᏍᏗᏱ, ᎾᏍᎩ ᎤᏲᎱᏒ ᏥᏕᎤᎴᏔᏁᎢ, ᎾᏍᎩ ᏥᏌ, ᎾᏍᎩ ᏥᎫᏓᎴᏒ ᎤᏔᎳᏬᎯᏍᏗ ᎤᎷᎯᏍᏗ ᏥᎩ.
|
|---|
A-le e-tsi-ga-ti-di-s-di-yi na-s-gi U-we-tsi ga-lv-la-di nv-da-yu-lo-hi-s-di-yi, na-s-gi u-yo-hu-sv tsi-de-u-le-ta-ne-i, na-s-gi Tsi-sa, na-s-gi tsi-gu-da-le-sv u-ta-la-wo-hi-s-di u-lu-hi-s-di tsi-gi.
|
|---|


Welcome to the "Times Table" test. Choose a times table... 2 x 3 x 4 x 5 x 6 x 7 x 8 x 9 x 10 x 11 x 12 x all


| # | Name | IC number | Phone | Address Line 1 | Address Line 2 | City | State | ZipCode | Package | process | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Loading........ | Loading........ | Loading........ | Loading........ | Loading........ | Loading........ | Loading........ | Loading........ | Loading........ | Loading........ | Loading........ |


2019
3h 7m
A New York cop and his wife go on a European vacation to reinvigorate the spark in their marriage. A
chance encounter leads to them being framed for the murder of an elderly billionaire.
Director: Kyle Newacheck
Screenplay: James Vanderbilt
Producers: Adam Sandler, James Vanderbilt, Allen Covert, James D. Stern, Tripp Vinson, A.J. Dix
Awards: People's Choice Award for Favorite Comedic Movie


I once wrote that "Reality is Illusion."
In fact, this is not the case.
Mind is illusion.
[Mind is of the Real. Belief in Mind is delusion.]
Mind is a beautifully illustrated pornographic videogame.
Mind is merely a simulacrum of a miniscule portion of the Real.
Mind is all we know. Therefore it appears most real to our unwitting eyes. In fact, Mind is real. Do not mistake my meaning. Mind exists in the Real. It truly does exist.
It is only our foolish discernment, the discernment of Mind itself, which imagines that any sun we see is the Real Sun. Make no mistake, that discernment is false.
A sun I see is just that, a sun I see. It is nothing more nor anything less. The Real Sun is elsewhere. It is outside of Mind.
Mind is a structure evolved by natural selection, populated with memories, and patterned with chains of behavior.


Perf Report:
Test (Frame #57)
Worker Thread 0
expand all
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collapse all
View as:
tree
|
flat
Worker Thread 1
expand all
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collapse all
View as:
tree
|
flat
Worker Thread 2
expand all
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collapse all
View as:
tree
|
flat
CUMULATIVE
expand all
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collapse all
View as:
tree
|
flat


Wise Best Rate
Wise config
Profile:
API Key:
Target Account:
Currency config
Source:
Target:
Amount:
E-Mail config
SMTP Server:
SMTP Port:
User:
Password:
Sender:
Recipient:
Subject prefix:
Encryption mode:
0 = No encryption, 1 = SSL, 2 = StartTLS
Control
Cronjob frequency (minutes):
Cronjob user:


Start ROS
Stop ROS
Status Here
Behavior status Here
Which Map?
Destinations:
ArloBot
Remote Control
Battery:
%
AC Plugged in?
Laptop Battery charged?

Be Quiet
Talk
Pause Explorer
Resume Explorer


Chatbot Demo
Voice
Volume
Rate
Pitch
Chatbot 1 Daily Talk
x
Whatcha doin?
Chatting and stuff
Nice one
Chatbot 2 Professional Knowledge
x
What's going down?
stuff
nice
Enter
Enter


--- title: Transport Instruction for IFTMIN D04A layout: edi menu: edi: identifier: "transportInstruction" title: "Transport Instruction for IFTMIN D04A" weight: 2 disqus_identifier: https-developer-bring-com-edi ---
This document is our guideline for freight-messages based on EDIFACT / IFTMIN D04A. The overview and detailed guideline include all Bring services, value added services and surcharges with codes for setting up correct EDI-messages.
Please download our EDIFACT-messages for use in supporting a more efficient information flow for your company. Messages is typically delivered to an SFTP- or FTP-account and may also be sent using SMTP.


This is to certify that the uploader "NAME" has been awarded 50
credits for highlighting the "social issue" by uploading the
picture "pic id" on HOUSE OF CHANGE, upon which "CULPRIT NAME",
after realizing his/her mistake has signed a petition of change
that has been successfully approved.
We thank
"NAME" for ur efforts and hope that u keep on bringing a change
to the society.


We have a team of eight runners who will be running on this exciting adventure together. The members of the team are currently Chrissie, Molly, Danielle, Sean, Christa, Sue, and VJ. Our last runner is still to be determined.
A long time camper and recent runner. Chrissie has done many crazy camping adventures, but none involving running - until now! She is also the team captain and the one to blame for this crazy idea.
A runnning enthusiast. Molly can most easily be found running through the streets of DC. She has run several half marathons and last year ran her first full marathon. She is always training for yet another race.
Danielle will very ready for this race because she is currently training for her first half marathon. She will also probably be the team cheerleader as she is always super enthusiastic!
Sean has recently committed to joining the team. He has yet to sign up on the team page or provide his photo. Eventually he be will forced to do so, but for now he'll just remain mysterious.
Christa is a seasoned runner who will be joining us from New Jersey. She is probably one of the goofiest, happiest people you'll ever meet. Christa will definitely help keep us entertained and awake over the weekend!
Sue is an accomplished runner who we're excited to have joining the team. She has lots of race experience. Sue clearly wins the best photo on the team. As the photo might indicate she is married - to VJ!
VJ enjoys both running and camping. We're excited to have him on the team as he has great knowledge and experience in both areas. He and Sue came as a package deal - we're thrilled we got them both to join us!
Stay tuned for more on "The Search for the 8th".


List and filter tasks, choose tasks for manipulation.
The first column is the task id, it's main identifier. The second column is the task status, whereas gray is 'not evaluated', red is 'not started', orange is 'in progress' and green is 'done'. The third column is the priority followed by the task title.
Tasks can be filtered by various aspects.