Privacy policy
Please read our privacy policy to learn what kind of information we collect via Adguard and how we store and use it afterwards.
General notes
In general, we collect no more personal information than is required in order to provide full functionality of our products. It is never shared with any third parties. This policy lists the data that is collected and the processing applied to it. We take all necessary technical, administrative and physical measures to protect the information we collect about users.
Data we collect when you visit our website
Cookies
When you visit our website, our server may place a small data file called a «cookie» (sometimes called «web cookie» or «browser cookie») on your hard drive. Most commercial websites use cookies. By using our site you agree to the use of cookies as described in this privacy policy. The data we acquire from cookies is processed by various analytics tools and may be used to determine your geographic location (via your IP address and automated geolocation techniques), or to acquire basic information about the computer, tablet, or mobile phone that you use to visit us. Geolocation data helps us to deliver content in the correct language, offer region- or country-specific products, and identify your local currency in the event of a purchase. Cookies can help you log in by remembering your user credentials (depending on which options you select in your profile settings). We may also use cookies to record your shopping cart contents and user registration information. Cookies can help us identify your preferences, including language and currency, for future use. Cookies usually expire within 30-60 days.
With the help of our cookies we may sometimes collect anonymous information in order to improve the accuracy of our services. We can also use cookies to collect anonymous information regarding downloads of our products from download site(s); this information is used only for statistical purposes, and no personal information is collected or stored. If you wish, you can disable cookies on your web browsing software.
Google Analytics and Yandex.Metrika
We currently use two website analytics tools: Google Analytics and Yandex.Metrika. These tools help us understand the use of our site by our visitors. Because Google Analytics and Yandex.Metrika both require cookies to function, users who wish to avoid tracking by Google Analytics and Yandex.Metrika while on our site can disable cookies on their web browsing software (see above).
News subscriptions
Our website offers news and information by subscription including newsletters, blogs, or others. If you decide to subscribe to these services you may be asked to provide your email address.
Contact us
If you contact us by email, we will require your email address in order to reply.
Support Center
You may join the Support Center at kb.adguard.com. Certain features require registration in order to participate. When you register for the Support Center you will be asked to provide your full name and email address, and select a password. No other information is required to register. This information is not shared with other users.
Adguard Forum
You may also join the Adguard Forum at forum.adguard.com. If you decide to register, you will be asked to select a username, password, and physical location. Disclosing your physical location is optional. You will also be required to provide an email address for use in connection with Adguard Forum. You may allow other users to send you messages if you wish. Once registered for Adguard Forum you may control your privacy settings by visiting your «Profile» page. You can modify your settings at any time.
Adguard Account
Adguard Account (https://adguard.com/account/login.html) is a tool which permits you to register multiple license using a single registration and authentication system. If you choose to use Adguard Account you will be asked to provide your email address. You will also be asked to select a password. We may use this information for purposes of validating your license, providing support, delivering additional products and services, and enabling you to change your Adguard Account and/or product settings.
Third-party content and sites
There may be times when we offer links to third-party sites such as Twitter, Facebook, or others.
Information we collect when you download our product
You are not required to disclose any personal information in order to download any of our products.
Information we collect when you purchase Adguard for Windows
When you pay for Adguard for Windows product the billing is generally handled by a third-party service provider. In most cases the service provider is acting as our reseller; thus, you will be making your purchase from the service provider directly, and not from Adguard. The handling of your personal information will be governed by any privacy policy or terms of service published by the service provider.
We save the information you enter on the order page. This information can be used in the future if you request your license key to be recovered.
The third-party service provider may transmit some of your personal information to us, but not including payment information, unless you specifically agree (as may be the case in the event of a purchase with auto-renewal). We may use the information we receive (not including payment information) to verify your registration or license status, to contact you about the status of your account, or for renewal of your subscription, if applicable.
Information we collect when you use Adguard for Windows
License check
Adguard connects to its servers to validate your license status. When it happens, the following information is sent:
- Application identifier.
- Adguard version.
- A short hash value identifying the computer’s configuration.
- The computer’s name.
- The computer’s IP address.
- Your license key.
Ad Blocker filters updates check
Adguard connects to its servers to check ad blocker filters updates. When it happens, the following information is sent:
- Ad blocker filters identifiers.
- Application identifier.
- Current ad blocker filters versions.
Browsing Security database updates check
Adguard uses Safebrowsing
Protocol v2
to check browsing security database updates.
It exchanges data with the server using hashed URLs so the server never
knows the actual URLs queried by the clients.
Adguard connects to Adguard servers to check our filters updates.
We do not store any data received this way.
If you enable Google Safebrowsing filter Adguard connects
to Google Safebrowsing servers to check for updates.
Contact the support service
When you contact the support service via the «Support» section, the following information is sent along with your message and the email you’ve entered:
- Application identifier.
- Application version.
- Your Windows version.
- Version of Microsoft .NET Framework installed on your computer.
- The list of installed Layered Service Providers.
- The list of enabled Ad Blocker filters.
- The program license key.
If you enabled the «Send system report» option, the program will also send additional data for the troubleshooting:
- A list of active processes.
- A list of user’s network interfaces.
- Contents of the WinSock catalog. Detailed information about installed Layered Service Providers.
- Contents of Adguard’s log file containing a list of errors that occurred since the previous start of the program.
Browsing Security community
If you enabled the «Take part in the development of a browsing security option», the program will periodically send anonymous security-related data:
- URLs of visited websites that Adguard identifies as potentially untrustworthy.
- Information on the nature of identified threats
The information described above, when collected by the Adguard for Windows, is generally not correlated with any other personal information related to you and is used anonymously in aggregation with similar information from other users of the Adguard software for analytical purposes.
Information we collect when you use Adguard for Mac
License check
Adguard connects to its servers to validate license status. When it happens, the following information is sent:
- Application identifier.
- Adguard version.
- Your license key.
- Mac address.
- Your computer’s name.
- Your computer’s serial number.
Ad filters updates check
Adguard connects to its servers to check ad filters updates. When it happens, the following information is sent:
- Ad filters identifiers.
- Application identifier.
Browsing security websites check.
If you have ’Browsing Security’ option enabled, Adguard checks every website before you visit it. We use Lookup API technology for this purpose, and the information about visited website is sent in form of hash prefixes. This doesn’t allow us to determine which website is being visited.
Contact the support service
When you contact the support service via the «Support» section, the following information is sent along with your message and the email you’ve entered:
- Application identifier.
- Application version.
- Application network settings.
- OS X installed on your computer version.
- List of ad filters you are subscribed to;
- If an ’Include a diagnostic report’ option is enabled, Adguard log file contents (program messages like errors and warnings) are sent additionally.
Information we collect when you use Adguard for Android
License check
AdAdguard connects to its servers to validate your license status. When it happens, the following information is sent:
- Application identifier.
- Application version.
- Device name (which includes both device manufacturer name and device model name).
- Device IP address.
- Your license key.
- Amazon purchase ID (if any).
Ad Blocker filters updates check
Adguard extension connects to its servers to check ad blocker filters updates. When it happens, the following information is sent:
- Ad blocker filters identifiers.
- Current ad blocker filters versions.
Browsing Security site check
If you enable «Phishing and malware protection» option, Adguard application checks every web site before you visit it. We use Lookup API technology for this purpose, and the information about visited website is sent in form of hash prefixes. This doesn’t allow us to determine which website is being visited.
When browsing security is enabled, Adguard periodically does a latency check for the list of browsing security servers; no information is being sent in these requests, though.
Browsing Security community
If you enabled the «Help us in Browsing Security development» setting, the program will periodically send anonymous security-related data:
- URLs of visited websites that Adguard identifies as potentially untrustworthy.
- Information on the nature of identified threats.
The information described above, when collected by the Adguard for Android, is generally not correlated with any other personal information related to you and is used anonymously in aggregation with similar information from other users of the Adguard software for analytical purposes.
Send feedbackWhen you contact the support service via the «Send Feedback» section, the following information is sent along with your message and the email you’ve entered:
- Application identifier.
- Application version.
- Device name (which includes both device manufacturer name and device model name).
- Android version.
- Android kernel version.
- The list of enabled Ad Blocker filters.
- Configuration of your application.
If you enabled the «Send system report» option, the program will also send additional data for the troubleshooting:
- A list of application threads and their stack traces.
- Log file contents.
Information we collect when you use Adguard for iOS
When the program checks for filters updates:
Adguard connects to its servers to check filters updates. When it happens, the following information is sent:
An alphanumeric string that uniquely identifies a device to the app’s vendor.
When you contact the support service:
When you contact the support service via the «Contact support» section, the following information is sent along with your message and the email you’ve entered:
- Program log.
- json-file created by program that contains rules for Safari.
- An alphanumeric string that uniquely identifies a device to the app’s vendor.
- List of filers being used.
- Application and OS versions.
- Device model.
- Chosen Locale and Region.
Information we collect when you use Adguard browser extensions
Adguard extension installation or update.
Adguard extension connects to its server just after installation or update. When it happens, the following information is sent:
- Unique extension ID.
- Extension version.
- Browser language.
- «Show acceptable ads» setting value.
We do this with a single purpose: to know the number of unique installations of our extension. This information is stored for 24 hours and then it is deleted.
Also Adguard makes a request to our server in order to get user's country code. The only purpose of this is to enable proper language-specific filter.
Ad Blocker filters updates check
Adguard extension connects to its servers to check ad blocker filters updates. When it happens, the following information is sent:
- Ad blocker filters identifiers.
- Current ad blocker filters versions.
- Browser extension type.
- Extension version.
Browsing Security site check
If you enable «Phishing and malware protection» option, Adguard extension checks every web site before you visit it. We use Lookup API technology for this purpose, and the information about visited website is sent in form of hash prefixes. This doesn’t allow us to determine which website is being visited.
Statistics for ad filters usage
If you enable the «Send statistics for ad filters usage» option, the following information is sent periodically:
- Extension version.
- Browser type (Chrome/Firefox/Opera/Yandex.Browser/Safari).
- List of enabled ad filters.
-
The list that consists of the following elements:
The domain name of the website,
The number of recent page views,
The list of filtering rules and Filter ID which were activated on this website,
The domain name of blocked requests is sent for URL rules
The list is created based on the website's visit statistics since the last time statistical data was sent.
By gathering statistics on used filtering rules, we can detect and remove the rules that are no longer used. As a result, it will help all those who use Adguard.
Browsing Security community
If you enabled the «Help us in Browsing security filters development», the program will periodically send anonymous security-related data:
- URLs of visited websites that Adguard identifies as potentially untrustworthy.
- Information on the nature of identified threats.
- Browser language.
Complaint on some web page
When you send a complaint on some web page, the following information is sent:
- Web page address.
- Selected complaint type.
- User's comment.
Storage, Retention, and Deletion of Personal Information
Storage
Personally identifiable information on our servers is only accessible from our physical premises, or via an encrypted virtual private network (VPN). Access is limited to authorized personnel only, and company networks are password protected, and subject to additional policies and procedures for security.
Deletion of personal information
In general, our policy is to keep personal information for no longer than reasonably necessary in light of the purpose for which the information was collected, plus any additional period that is permitted or required by law thereafter. Following the expiration of the purpose for which we collected personal information plus any additional period that is permitted or required by law, we will either delete or de-identify the information from our systems.
Information Security
Under no circumstances shall we disclose the information we collect about users to a third party (except when required by law or if we obtain your permission).
Personal data we collect are stored on specially protected servers. Access is restricted to a limited number of authorized persons who need the access in order to administer our websites or ensure their proper functionality, especially with regard to technical support.
If you have a disagreement with us relating to our handling of your personal information, we ask that you contact us to work it out. We are always happy to hear from you, and we promise to try our best to respond to any concerns you may have.


Optical Character Recognition service - Scala app
This is a sample Play application deployed to Heroku. It allows you to upload an image, from which the
readable text is then extracted.
@if(imageBytes != null){
Image OCR successful! You can see your results below
Text obtained
@text
Processed image
Upload another image
}
@helper.form(action = routes.Application.upload, 'enctype -> "multipart/form-data") {
}
To deploy your own copy, and learn the fundamentals of the Heroku platform, head over to the
Getting Started
with Scala/Play on Heroku tutorial.
}


|
Satwik Mohanty
Machine Learning and DataScience Intern at Foreign Admits |
Biography
I am a tech lover, basically interested in stuff related to Artificial Intelligence, Basically an Iron Man Fan
I dream of buildiing a J.A.R.V.I.S, F.R.I.D.A.Y and a armour someday. I contineously acquire new knowledge and contineously learning new stuff.
|
Technological Aspects:
Basically I am mostly into Machine Learning and Artificial Intelligence but i also know the following technologies.
-
Full Stack Development
-
Android App Development
-
Ethical Hacking
Accomplishments:
| Date: |
Award: |
Domain: |
| February 2020 |
AICTE Chhatra Viswakarma Award |
Agriculture |
| January 2020 |
Smart India Hackathon |
Defence |
Work Experience:
| Date: |
Company: |
Domain: |
| July 2020 |
Foreign Admits |
IT |
| May 2019 |
Schenider Electric |
Core |
Skills:
| Skill |
Profiency |
| Artificial Intelligence |
* * * * * |
| Web Development |
* |
| Ethical Hacking |
* * * * |


Arcle Two:
1.1
Deep Machine Learning’s Mechanics in details
1.1.1
Perceptron
The basic unit of deep neural networks is a perceptron. This unit can be cascaded in parallel as a layer;
the layers can be cascaded in serial to form a deep network.
The parallel cascaded units dichotomize (divides into two groups) input space diﬀerently if the weights
w
i
are diﬀerent aﬅer training [1,2]. The serially cascaded layers will pick-up the previous layer’s outputs and
repeat the dichotomy division process repeatedly. When the breadth of parallel cascade and depth of serial
cascade are big enough to match the dataset’s complexity (input space), it can classify and represent
complicated problems eﬀecvely. In theory, when the number of dichotomy division processes is large enough,
it can disnguish every element of data in the input space (dataset); however, in pracce, we have to balance
computaonal cost, generalizaon capability, and noise rejecon in reducing model complexity and avoid
overﬁng problem.
Originally, the neuron was proposed to be an abstract representaon of the real neuron in the brain.
When this speciﬁc neuron is polarized enough, it send an acon potenal spike via its axon to the other
adjacent neurons. In an actual biological system, these steps do not occur at once but at a more granular scale.
Spiking neural networks are beer suited in describing the underlying biological processes. But at the current
state of art, the deep learning community relies more on deep arﬁcial neural networks (ANNs). Numerical
inputs and outputs formalize the neurons in the neural network by a system of linear equaons (regression
equaon). Equaon 1.1. is an example of regression equaon as a starng mathemacal descripon for a
complicated deep network.
z
=
w
0
+
w
1
x
1
+
w
2
x
2
+
w
3
x
3
Equaon 1.1
where
w
0
is the bias b
Furthermore, at the current state of the art, the deep learning communies always normalize input
dataset data to be within [-1, 1] and inialize
w
i
close to zero, which makes the regression similar to cosine
similarly [27] measurement and these treatments and the logisc regression method ﬁt well to paern
recognion tasks for a lot of decision-making process.
Figure. 1.1 shows a typical arﬁcial neuron deﬁned by equaon. 1.1 and together with some nonlinear
output funcon (e.g., ReLu, which is max(z,0) ) can execute simple classiﬁcaonal decision-making, which can
date back to ancient Chinese philosophers’ I-Ching (Yijifng) [43] dichotomy method. This base unit becomes a
dichotomous classiﬁer that divides input space into two groups. When it is cascaded in parallel and then in
serial, a complicated deep learning network is formed, as shown in Figure 1.2.


The main thing I've figured out over the first week of class is that I have a LOT to learn. I had been taking some Web Development and JavaScript courses online and have put basically none of that knowledge to use. Not because it was useless to learn, just that the classes so far have showed me there's a completely different set of skills that I haven't even started to grow. Hopefully, the knowledge that I do have will prove itself useful in the future, but for now I'm enjoying learning new things.


Hello. I'm Aryaman Sriram. I have a little brother named Atharv Sriram. My dad's name is Sriram Sundaram. My mom's name is Neha Gupta.


Elias Hasle's personal Github page
Experiments
Made using three.js and other Javascript. (Some pure WebGL will be published later.) All the 3D demos except "Tunnel" use THREE.OrbitControls for mouse/touch interaction. Some demos use dat.GUI.
- Swarm experiments
- Made during a Swarm Intelligence course in Ålesund
- Ghost webcam
- I recommend turning the audio volume down a bit before starting this, and turn it gradually up afterwards.
- Cartoon webcam
- A combination of Scharr filter, color transforms and temporal smoothing. Some settings behave unexpectedly (a bug).
- Perfect spheres
- Pixel-perfect spheres rendered by raycasting on view-space quads in the fragment shader. (Work in progress.)
- Face-Centered Cubic grid
- A dense stacking of spheres that can be formulated as a grid of cubic cells.
- Bouncing spherical particles
- In unidirectional gravity field. Spatial hashing, simple integration, not fully incompressible.
- Masses on springs
- Particles under influence of gravity, connected by springs that stretch and break. Simple integration, no collisions, custom PRNG.
- Infinite tunnel
- A very simple car driving simulator with procedurally generated graphics and optional gamepad control.
- Viper
- A photo of a viper projected onto a 3D plane and combined smoothly with a skyscraper. GUI controls for adjusting the geometry and lighting to match the photo.
- Three-point perspective
- The R,G,B lines lead to vanishing points for X,Y,Z, respectively.
- Golf ball
- Based on a "vertex-colored" (encoding barycentric coordinates) polyhedron with a custom shader.
- Christmas ball
- Or circus ball (for an elephant). Closely related to the above.
- Map view controls
- Application example of zoom-to-pixel controls for THREE.OrthographicCamera (separate repository).
- STL/3DS viewer
- A very simple viewer for locally stored .STL and .3DS models.
I have also contributed strongly to the vessel.js project.
Contact
- Github profile:
- EliasHasle
- Facebook profile:
- elias.hasle.3
- Private email:
- Username: elias.hasle, domain: gmail.com
- Phone:
- Country code: +47 (Norway), number: 90 17 11 96


Pull stock prices from online API and perform predictions using Recurrent Neural Network and Long Short-Term Memory (LSTM) with TensorFlow.js framework
Machine learning is becoming increasingly popular these days and a growing number of the world’s population see it is as a magic crystal ball: predicting when and what will happen in the future. This experiment uses artificial neural networks to reveal stock market trends and demonstrates the ability of time series forecasting to predict future stock prices based on past historical data.
Disclaimer: As stock markets fluctuation are dynamic and unpredictable owing to multiple factors, this experiment is 100% educational and by no means a trading prediction tool.
There are 4 parts to this experiment:
Before we can train our neural network and make any predictions, we will first require data. The type of data we are looking for is time series: a sequence of numbers in chronological order. A good starting place to fetch these data is from alphavantage.co. This API allows us to retrieve chronological data on specific company stocks prices from the last 20 years.
The API yields the following fields:
To prepare training dataset for our neural network, we will be using closing stocks price; which also means that we will be aiming to predict future closing price.
Use demo API key to fetch Microsoft Corporation prices or get your own API key for other stocks.
For this experiment, we are using supervised learning, which means feeding data to the neural network and it learns by mapping input data to the output label. One way to prepare the training dataset is to extract Simple Moving Average from that time series data.
Simple Moving Average (SMA) is a method to identify trends direction for a certain period of time, by looking at the average of all the values within that time window. The number of prices in a time window is selected experimentally. For example, let's assume the closing prices for past 5 days were 13, 15, 14, 16, 17, the SMA would be (13+15+14+16+17)/5 = 15. So the input for our training dataset is the set of prices within a single time window, and label is the computed moving average of those prices.
But first, fetch stocks data from the previous step.
Now that you have the training data, it is time to create a model for time series prediction, to achieve this we will use TensorFlow.js framework.
Sequential model is selected which simply connects each layer and pass the data from input to the output during the training process. In order for the model to learn time series data which are sequential, recurrent neural network (RNN) layer layer is created and a number of LSTM cells are added to the RNN.
The model will be trained using Adam (read more), a popular optimisation algorithm for machine learning. Root-means-squared error which determine the difference between predicted values and the actual values, so model is able to learn by minimising the error during the training process.
These are the hyperparameters (parameters used in the training process) available for tweaking:
Need training data? Explore the previous section to prepare training data.
Now that you have trained your model, it is time to use it for predicting future values, for our case, it is the moving average. We are actually using the remaining data for prediction which allow us to see how closely our predicted values are compared to the actual values.
Don’t have a model to perform prediction? Train your model.


Health Equity Tracker
About Us
Data Sources & Methodology
Explore the Data
Data source: U.S. Census ACS 2014 – 2018 5 Year Estimates


|
Brooklyn | |||||||
| PREV NEXT | FRAMES NO FRAMES |
| Interface Summary | |
|---|---|
| ListConfigKey.ListModification | |
| MapConfigKey.MapModification | |
| StructuredConfigKey | |
| StructuredConfigKey.StructuredModification |
| Class Summary | |
|---|---|
| AttributeMap | A java.util.Map of Entity attribute values. |
| AttributeSensorAndConfigKey | A Sensor describing an attribute that can be configured with inputs that are used to derive the final value. |
| BasicAttributeSensor | A Sensor describing an attribute change. |
| BasicAttributeSensorAndConfigKey | A Sensor describing an attribute that can be configured with a default value. |
| BasicConfigKey | |
| BasicConfigKey.Builder | |
| BasicConfigKey.StringConfigKey | |
| BasicNotificationSensor | A Sensor used to notify subscribers about events. |
| BasicSensor | Parent for all Sensors. |
| BasicSensorEvent | A SensorEvent containing data from a Sensor generated by an Entity. |
| DependentConfiguration | Conveniences for making tasks which run in entity ExecutionContexts, subscribing to attributes from other entities, possibly transforming those; these Task instances are typically passed in EntityLocal#setConfig(ConfigKey, Object)#setConfig(ConfigKey, Object). |
| ListConfigKey | A config key representing a list of values. |
| ListConfigKey.ListModification.ListModificationBase | |
| ListConfigKey.ListModifications | |
| MapConfigKey | A config key which represents a map, where contents can be accessed directly via subkeys. |
| MapConfigKey.MapModification.MapModificationBase | |
| MapConfigKey.MapModifications | |
| PortAttributeSensorAndConfigKey | A Sensor describing a port on a system, with a ConfigKey which can be configured with a port range (either a number e.g. 80, or a string e.g. "80" or "8080-8089" or even "80, 8080-8089, 8800+", or a list of these). |
| StructuredConfigKey.StructuredModifications | |
| SubElementConfigKey |
Brooklyn Multi-Cloud Application Management Platform
brooklyncentral.github.com. Apache License. © 2012.


I am a computer science masters student with three years of experience in software development. At present, working at Deloitte’s innovation lab and solving business problems utilizing cloud computing platforms and machine learning.
I love creating new things and the best way to do is by programming it. I am well versed with OOP. Languages worked on : Python, Swift, SQL. Learning Java
Making the machine learn in similar ways as human brain sounds fascinationg to me and I have worked with many tool, some of which are Scikit Learn, Pandas, PySpark, numPy
Docker, Git, Maven, Jenkins
GCP: AutoML, Big Query, DialogFlow, Firebase
AWS: Sagemaker, Lex, EC2
My area of expertise is tuning the scripts to optimize the performance. I have experience with Apache Hadoop,Teradata, NoSQL Databases.
Experience with 20+ software tools. Some of which are IBM DataStage, IBM Cognos, Tableau, Eclipse, JIRA
Love to work collaboratively in a team and can interpret business insights into technological perspective and vice verse.
Built software prototypes leveraging machine learning and cloud computing. Worked in agile mode and learned design thinking approach to solving business problems.
Enterprise data warehouse management, built data pipelines, generated reports for business health monitoring and data driven decision support.


By : 216116493, 216116497, 216116522
Board Size :
Difficulty :
Easy
Normal
Hard
AI vs AI
Go To Main Menu


A | |
| ABI [Bap.Std.Target] | |
| ABI [Bap.Std.AMD64] | |
| ABI [Bap.Std.IA32] | |
| ABI [Bap.Std.ARM] | |
| AMD64 [Bap.Std] | x86-64 architecture
|
| ARM [Bap.Std] |
ARM architecture.
|
| Addr [Bap.Std] |
Shortcut for bitvectors that represent addresses
|
| Arch [Bap.Std] |
Architecture
|
| Arg [Bap.Std] |
Subroutine argument.
|
| Attr [Bap.Std.Dwarf] |
Attribute
|
B | |
| Backend [Bap.Std] |
A backend interface.
|
| Bap |
Binary Analysis Platform Library
|
| Basic [Bap.Std.Disasm_expert] |
Basic disassembler.
|
| Big [Bap.Std.Bitvector.Trie] | |
| Bil [Bap.Std] |
Main BIL module
|
| Bits [Bap.Std.Bitvector.Trie.Little] | |
| Bits [Bap.Std.Bitvector.Trie.Big] | |
| Bitvector [Bap.Std] |
Bitvector -- a type for representing binary values.
|
| Blk [Bap.Std] |
Block.
|
| Block [Bap.Std.Block.Cfg] | |
| Block [Bap.Std] |
Basic block of machine instructions.
|
| Block [Bap.Std.Disasm_expert.Recursive] |
Low-level opaque representation of basic block.
|
| Buffer [Bap.Std.Dwarf] |
Buffer is a light abstraction over
string and bigstring ,
that can allow one to share the same string for different sections
without explicit copying.
|
| Builder [Bap.Std.Blk] |
Builder interface.
|
| Builder [Bap.Std.Sub] |
Subroutine builder
|
| Builder [Bap.Std.Program] |
Program builder.
|
| Bytes [Bap.Std.Byteweight] | |
| Bytes [Bap.Std.Bitvector.Trie.Little] | |
| Bytes [Bap.Std.Bitvector.Trie.Big] | |
| Byteweight [Bap.Std] |
Byteweight Algorithm implementation
|
C | |
| CPU [Bap.Std.Target] | |
| CPU [Bap.Std.AMD64] | |
| CPU [Bap.Std.IA32] | |
| CPU [Bap.Std.ARM] |
ARM CPU.
|
| Call [Bap.Std] |
A control transfer to another subroutine.
|
| Cfg [Bap.Std.Block] |
A classic control flow graph using OCamlgraph library.
|
| Cond [Bap.Std.ARM] |
Condition prefixes.
|
| Config [Bap.Std] |
Access to BAP configuration variables
|
D | |
| Data [Bap.Std.Dwarf] | |
| Def [Bap.Std] |
Definition.
|
| Dict [Bap.Std] |
Universal Heterogeneous Map.
|
| Disasm [Bap.Std] |
Disassembled program.
|
| Disasm_expert [Bap.Std] |
Expert interface to disassembler.
|
| Dwarf [Bap.Std] |
Dwarf library
This library gives an access to debugging information stored
in a binary program.
|
E | |
| Elf [Bap.Std] |
Parse binary data in ELF format.
|
| Error [Bap.Std.Disasm] | |
| Exp [Bap.Std] | Regular interface for BIL expressions
|
F | |
| Fbi [Bap.Std.Dwarf] |
Function boundary identification.
|
| Fmm [Bap.Std] |
Floating point immediate operand
|
| Fn [Bap.Std.Dwarf] |
Current function representation.
|
| Form [Bap.Std.Dwarf] |
Attribute form
|
I | |
| IA32 [Bap.Std] | x86 architecture
|
| Image [Bap.Std] |
Binary Image.
|
| Img [Bap.Std.Backend] |
A Img from a backend perspective.
|
| Imm [Bap.Std] |
Integer immediate operand
|
| Imperative [Bap.Std.Block.Cfg] |
Imperative graph
|
| Infix [Bap.Std.Bil] |
Infix operators
|
| Input [Bap.Std.Memory] |
A set of low level input operations.
|
| Insn [Bap.Std.ARM] |
Arm Instruction Set.
|
| Insn [Bap.Std] |
Assembly instruction.
|
| Insn [Bap.Std.Disasm_expert.Basic] |
Basic instruction.
|
| Int_err [Bap.Std.Bitvector] |
Arithmetic raised into
Or_error monad
|
| Int_exn [Bap.Std.Bitvector] |
Arithmetic that raises exceptions.
|
J | |
| Jmp [Bap.Std] |
A control transfer operation.
|
K | |
| Kind [Bap.Std] |
Kinds of instructions
|
L | |
| Label [Bap.Std] |
Target of a control flow transfer.
|
| Leb128 [Bap.Std.Dwarf] | |
| Little [Bap.Std.Bitvector.Trie] | |
| Location [Bap.Std] |
A locations of a chunk of memory
|
M | |
| Make [Bap.Std.Byteweight] | |
| Make [Bap.Std.Trie] |
Create a trie for a given
Key
|
| Make [Bap.Std.Regular] | |
| Make_iterators [Bap.Std.Memory] |
lifts iterators to monad
M
|
| Memmap [Bap.Std] |
Memory maps.
|
| Memory [Bap.Std] |
Memory region
|
| Mono [Bap.Std.Bitvector] | |
N | |
| Normalized [Bap.Std.Insn.Trie] | |
| Normalized [Bap.Std.Disasm_expert.Basic.Trie] | |
| Normalized [Bap.Std.Op] |
Normalized comparison.
|
| Normalized [Bap.Std.Bil.Trie] | |
O | |
| Op [Bap.Std.ARM] |
ARM instruction operands
|
| Op [Bap.Std] |
Operand
|
P | |
| Phi [Bap.Std] |
PHI-node
|
| Program [Bap.Std] |
Program.
|
| Project [Bap.Std] |
Target of analysis.
|
R | |
| R16 [Bap.Std.Memory.Trie] | |
| R32 [Bap.Std.Memory.Trie] | |
| R64 [Bap.Std.Memory.Trie] | |
| R8 [Bap.Std.Memory.Trie] | |
| Recursive [Bap.Std.Disasm_expert] |
Recursive Descent Disassembler.
|
| Reg [Bap.Std.ARM] |
ARM Registers.
|
| Reg [Bap.Std] |
Register.
|
| Regular [Bap.Std] |
In order to implement
Regular interface you need to provide a
minimum implementation M
|
S | |
| Section [Bap.Std.Dwarf] |
File sections
|
| Section [Bap.Std.Backend] |
Just a named region of memory.
|
| Segment [Bap.Std.Image] |
Image Segments.
|
| Segment [Bap.Std.Backend] |
A named contiguous part of file with permissions.
|
| Seq [Bap.Std] |
Lazy sequence
|
| Signatures [Bap.Std] |
Binary signatures storage
|
| Size [Bap.Std] |
Type safe operand and register sizes.
|
| Std [Bap] | |
| Stmt [Bap.Std] | Regular interface for BIL statements
|
| String [Bap.Std.Trie] | |
| Sub [Bap.Std] |
Subroutine.
|
| Symbol [Bap.Std.Image] |
Symbol.
|
| Symbol [Bap.Std.Backend] |
Symbol definition, that can span several non-contiguous parts of
memory
|
| Symtab [Bap.Std] |
Reconstructed symbol table.
|
T | |
| Table [Bap.Std] |
Table.
|
| Tag [Bap.Std.Dwarf] |
Debug Entry Tag
|
| Tag [Bap.Std.Value] |
Variants of values.
|
| Term [Bap.Std] |
IR language term.
|
| Tid [Bap.Std] |
Term identifier
|
| Trie [Bap.Std.Insn] |
Prefix Tree
This module provides a trie data structure where a sequence of
instructions is used as a key (and an individual instruction
as a token).
|
| Trie [Bap.Std.Disasm_expert.Basic] |
Trie maps over instructions
|
| Trie [Bap.Std.Memory] |
Tries over memory
|
| Trie [Bap.Std.Bil] |
Tries on BIL.
|
| Trie [Bap.Std.Bitvector] |
Prefix trees for bitvectors.
|
| Trie [Bap.Std] |
Constructs a trie
|
| Type [Bap.Std] |
The type of a BIL expression.
|
| Typeid [Bap.Std.Value] |
Persistent type identifiers.
|
| Types [Bap.Std.Elf] | |
| Types [Bap.Std.Bil] | |
V | |
| V1 [Bap.Std.Var] |
Serialization format
|
| Value [Bap.Std] |
Universal Values.
|
| Var [Bap.Std] |
BIL variable.
|
| Vector [Bap.Std] |
Resizable Array.
|
W | |
| With_error [Bap.Std.Memory] |
iterators lifter to the Or_error monad
|
| Word [Bap.Std] |
Shortcut for bitvectors that represent words
|


GOVERNMENT OF THE DISTRICT OF COLUMBIA EXECUTIVE OFFICE OF THE MAYOR Open Government Report 2014 To institutionalize a culture of transparent and open government, accountability, and to expand opportunities for resident participation and collaboration, this Report describes how Mayor Gray’s Office has and will continue to develop and enhance transparency, public participation, and collaboration. In accordance with Mayor’s Order 2014-170, this report addresses the following topics: 1) Transparency Mayor Gray strongly believes in an open and transparent government. From the start of his administration, he has worked tirelessly to ensure that his administration is as transparent, collaborative, and accountable as possible. The Open Government Initiative, envisioned by Mayor Gray and led by the Executive Office of the Mayor (EOM), is a multifaceted approach to lead the District Government towards openness and transparency by using technology to make key government records easily accessible online. The overall goal is keep the public better informed about the functioning of their government. Mayor Gray has been a leader in Open Government. At the start of his administration he issued Mayor’s Memorandum 2011-01 that set the tone for open government efforts in the Gray Administration. It affirmatively set forth standards to be used in the interpretation of, and compliance with, the Freedom of Information Act and indicated the direction to be taken for further open government and transparency efforts. In July 2014, Mayor Gray issued the Open Government and Open Data Directive, which details concrete steps the District government must take to better institutionalize a culture of transparency, accountability, and public participation in the District government. The Directive: Requires agencies to publish up to 15 different categories of government information online on agency open government and FOIA pages, create annual open government reports, and identify and publish datasets online Establishes a common web portal that will serve as the source for District-wide and agency activities related to this transparency, open government, and open data Convenes an Open Government Advisory Group to assist the Mayor in creating open government policy Designates a Chief Data Officer to coordinate implementation, compliance, and expansion of the District’s Open Data Program 1 Since the announcement of the Directive, all agencies have created Open Government and FOIA webpages with key information on agency expenditures, organizational charts, policies, budget and more. Furthermore, the Executive Office of the Mayor partnered with Office of the Chief Technology Officer to create the new central open government website, open.dc.gov, which provides a large quantity of government information and makes it easier for the public to locate information that would otherwise be difficult to find of even know is published on individual agency webpages. In addition, FOIAXpress, the District’s first-ever city-wide FOIA processing system, successfully launched in July 2014 with over 50 District agencies using the system. Since the launch, members of the media and public have submitted over 600 FOIA requests and appeals through the online public FOIA portal. FOIAXpress has an internal component where FOIA Officers track and respond to FOIA requests and a public component that allows agencies to publish documents to a reading room for frequently requested public records. There are currently 56 frequently requested public records in the reading room. FOIA requesters also have the ability to check the status of their requests in FOIAXpress which gives them a better understanding of the workings of the government. Also, the Executive Office of the Mayor works hard to ensure District residents are informed of key issues, projects, initiatives, and announcements of the District government. Methods the Executive Office of the Mayor uses to share information with the public include: The Mayor’s Office of Communications published over 400 press releases in FY 2014 alone. The Mayor’s twitter account has tweeted over 10,100 tweets and has 24,800 followers. Just a year ago, it had 18,400 followers. The Mayor’s YouTube account, dcmayorsoffice, has uploaded over 100 videos in FY 2014 alone. The Mayor’s Office of Communications distributes The Mayor Gray Report, an e- newsletter summarizing Mayor Gray’s announcements and activities, is distributed roughly once a week to well over 8,600 District residents, community leaders, and other key stakeholders. To date, 68 editions of the e-newsletter have been issued. The Executive Office of the Mayor has a new Open Government and FOIA webpage which includes information on EOM’s budget, regulations, expenditures, organizational chart, employee salary information, and frequently requested public records. The Mayor’s Office of the General Counsel has published all decisions of appeals of agency FOIA productions online and in the DC Register. The webpage on which appeals decisions are published now includes reformatted indices that make decisions more accessible and searchable. 2 The Office of Documents and Administrative Issuances has entered into an MOU with the Office of the Chief Technology Officer (OCTO) to update dcregs.org, the online portal for the DC Register, DCMR, Mayor’s Orders, and Mayor’s Memorandums to add functionality, searchability, and other enhancements designed to improve performance and the ability of users to conduct advanced searches. Moving forward, the Executive Office of the Mayor will take steps to increase public access to information including: Publishing additional documents to our FOIAXpress reading room (there are currently ten documents published there now). Updating our open government and FOIA webpage regularly Improving the accessibility of FOIA appeals decisions by providing the public the ability to download entire years of opinions in machine readable word and text format The Executive Office of the Mayor is also working closely with the Office of the City Administrator (OCA) and the Office of the Chief Technology Officer (OCTO) to identify government datasets that OCA and OCTO expect to publish online later this year. In the future, requirements for open data reporting will be provided by the Chief Data Officer. 2) Public Engagement and Participation In order to better capture resident feedback about District government performance, in June 2012, the Executive Office of the Mayor led the implementation and management of grade.dc.gov, an online grading tool that harnesses innovative analytical technology to improve customer care. Feedback from the public is collected from the online surveys and combined with data from comments posted on social media sites like Twitter, Facebook, Foursquare, and Yelp. This aggregated data is used by an independent company to develop a grade for each participating District government agency. The goal is to make it possible for District residents to easily offer actionable feedback and help DC government agencies improve their customer care. Grade.dc.gov has been an integral part in improving performance of District government services, and in FY 14 alone, members of the public submitted 36,445 reviews through it. In addition, during the formulation of the Open Government Initiative, the Executive Office of the Mayor solicited public participation in the formulation of the District’s transparency and open government policies by inviting the submission of comments, ideas and proposals to increase openness and transparency in government. The Executive Office of the Mayor received approximately a dozen comments, including detailed comments from the Sunlight Foundation, DC Open Government Coalition, Socrata and 3 Code for DC. Many of the public’s suggestions have been incorporated into the Open Government Initiative. Comments can still be submitted through the open.dc.gov website. Mayor Gray also solicits feedback and shares information through a wide variety of other platforms including Facebook, YouTube, Twitter, and the Ask the Mayor feature on the mayor.dc.gov website that allows members of the public to submit questions directly to the Mayor’s Office. When correspondence is submitted through the Ask the Mayor feature it is entered in to the Intranet Quorum (IQ) system, a database that houses and tracks the Mayor’s incoming mail to ensure that it is responded to promptly. In addition, Mayor Gray believes there is no substitute for live public engagement and prioritizes face to face interaction with District residents and community leaders to keep them informed and engaged. Below are a few ways that Mayor Gray has engaged District residents in the past year: Mayor Gray holds biweekly press briefings to update the media about the District government’s latest accomplishments, goals, and projects. He also takes questions from the press on any topic. In addition, every month Mayor Gray appears on NewsTalk on News Channel 8 where he discusses his administration’s plans for advancing the city and takes phone calls from the public. Every year Mayor Gray conducts a series of Budget Town Hall Meetings, including one in every ward, to brief residents about his proposed budget. In 2014, he held 11 town hall meetings. Residents are able to provide the mayor and his cabinet with feedback in person during the town hall or through email at<EMAIL_ADDRESS>Mayor Gray holds quarterly meetings with Advisory Neighborhood Commission (ANC) Chairs and Boards and Commissions Chairs to keep key community leaders informed of important issues and projects in which the District government is engaged. Each year Mayor Gray delivers a State of the District Address to report on the status of the city and outline his agenda and priorities for the year. In 2014, Mayor Gray delivered his State of the District Address at Kelly Miller Middle School with hundreds of District residents in attendance. On the mayor’s behalf, the Mayor’s Office of Community Affairs (MOCA) shares information with the public live and through a number of ways including listservs, newsletters, community meetings, websites, Twitter, Facebook and Instagram. MOCA maintains constant contact with stakeholders and invites the public to participate in government sponsored events and forums. Perhaps most importantly, the Mayor maintains a breathtaking public schedule which includes regular participation in community meetings to keep residents informed of important issues and projects in which the District government is engaged and to listen to 4 residents and stakeholders. Mayor Gray is dedicated to serving the residents of the District of Columbia and works hard to ensure their needs are heard and met. 3) Collaboration Mayor Gray strongly believes in collaboration, and during his administration, multiagency collaborative efforts have proven to be the most effective. Mayor Gray holds monthly cabinet meetings to ensure that agency directors are aware of different agencies’ projects and goals and have an opportunity to partner with other agencies. It is important to Mayor Gray to break down the silo mentality and promote agency partnerships. The Deputy Mayor structure in the Gray Administration also accomplishes this by convening cluster meetings that allow agencies with generally similar areas of focus to communicate and work together to tackle issues with the Deputy Mayors able to coordinate work across clusters. The partnership with the Executive Office of the Mayor (EOM) and Office of the Chief Technology Officer (OCTO) has been vital to the success of the Open Government Initiative. OCTO was a key partner in helping EOM with the creation of the new central open government website, open.dc.gov, which provides a large quantity of government information and makes it easier for the public to locate information that could have otherwise been hard to find on individual agency webpages. In addition, with the help of OCTO, EOM collaborated with all district agencies to create new and uniformed agency Open Government and FOIA webpages that contain much more agency specific information than ever before. Furthermore, Mayor Gray understands that our Open Government Initiative must solicit and incorporate feedback from the public, nonprofit entities, and private entities to reach its full potential. To aid in the advancement of the initiative, the Mayor will soon appoint an Open Government Advisory Group that includes key representatives of the District government as well as representatives of the DC Open Government Coalition, Code for DC, and the Urban Institute. He will task this group with ensuring that the District government is a leader in Open Government and Open Data and making specific recommendations for improving the openness and transparency of the District government. Mayor Gray believes in working collaboratively—both inside and outside District government—to achieve the common goal of advancing the District of Columbia. He understands that this can only be achieved when District government leaders have the opportunity to learn from and partner with each other. The Mayor’s Sustainability Challenge, a grant competition among District agencies to test forward-thinking sustainability initiatives, is one tactic Mayor Gray uses to foster agency partnerships within the District government. In FY 13, Mayor Gray allocated $6.85 million to date to support it. In FY 14, after a large number of collaborative projects were submitted, four District agencies and other partnering agencies were selected to receive funding totaling $2.35 million for seven innovative projects. 5


My favorite Locations
These are a few of my favorite locations
Cities
Here are some of my favorite cities!
- Portland
- New York
- Los Angeles
- Denver
Restaurants
These are my three favorites restaurants, in order:
- Joes Pizza
- Sallys Subs
Thanks for reading about my favorite places!


Download the Pictures of Computers, their Input and Output Devices, Important Definitions, Videos of our presentation on Fundamental of Computers and Presentations.
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Money play. How should Red play 62?
pips Red=156 White=96
(CorrectAnswer= 0/0, ErrorScore= 0)
Any thought of not hitting should be discounted immediately as Red may not get another shot.
After 22/16* the 2 can be played 16/14, 13/11 or 8/6.
I had though there might not be much difference between the plays but keeping the back checkers linked turns out to be crucial, otherwise the rear checker can end up becoming stranded.
The best play is the flexible 22/16*, 13/11. Second best, but an error, is 22/16*, 8/6 and 22/16*/14 is in XG terms, a blunder and a half. Quite a difference I think you will agree.
After 22/16* the 2 can be played 16/14, 13/11 or 8/6.
I had though there might not be much difference between the plays but keeping the back checkers linked turns out to be crucial, otherwise the rear checker can end up becoming stranded.
The best play is the flexible 22/16*, 13/11. Second best, but an error, is 22/16*, 8/6 and 22/16*/14 is in XG terms, a blunder and a half. Quite a difference I think you will agree.
1. Cubeful 2-ply 24/20 12/7 Eq.: +0.827 0.678 0.235 0.011 - 0.322 0.081 0.003 2. Cubeful 2-ply 24/15 Eq.: +0.823 (-0.004) 0.681 0.253 0.013 - 0.319 0.100 0.007 3. Cubeful 2-ply 7/2* 6/2 Eq.: +0.776 (-0.051) 0.656 0.276 0.012 - 0.344 0.100 0.006 4. Cubeful 2-ply 20/15 6/2* Eq.: +0.703 (-0.125) 0.650 0.246 0.011 - 0.350 0.129 0.013 5. Cubeful 2-ply 20/11 Eq.: +0.699 (-0.128) 0.642 0.240 0.013 - 0.358 0.115 0.009


Description
The M38A1 (MD) was built from 1952 until 1957 for the U.S. military
forces and from 1958 until 1971 for export to foreign governments.
The production information available for these vehicles suggests
a much more limited production run.
The M38A1 was so well liked, they introduced the CJ-5 in 1955 based on
it's design.
Drive Train
The M38A1 used the
"Hurricane" F-Head 134 I4
engine,
T-90 3 speed transmission,
Dana 18 transfer case, either the
Dana 25 or the
Dana 27 front axle, and
Dana 44 rear axle.
Production Information
| Year |
Serial Number Range |
Production |
| 1952 |
10001 - xxx |
ppp |
| 1953 |
xxx - xxx |
ppp |
| 1954 |
xxx - xxx |
ppp |
| 1955 |
xxx - 85428 |
ppp |
| 1956 |
10001 - 11000 |
1000 |
Units built in 1956 were shipped to Egypt.
Contributors
Thanks to Todd Paisley for the M38A1 serial number and production
information.


Find the one made for you among thousands of eligible matches
Read the success stories of these lovely couples
Our meeting was planned after the families met . After my parents met Mahima they really thought her to be a good match for me. Some days later when i visited India and met her things worked up and finally we got engaged and married.
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“We have been married for almost a year now. Things are great; We are so happy.
Preeti and Sandeep Prabhu (Nashik))
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sed tincidunt mi rhoncus. Nam eget nulla risus. Etiam aliqttricies maximus. Vivamus risus velit, cursus at aliquam eu, vehicula vel risus.
sed tincidunt mi rhoncus. Nam eget nulla risus. Etiam aliqttricies maximus. Vivamus risus velit, cursus at aliquam eu, vehicula vel risus.


CNTRAINING(1) CNTRAINING(1) NAME cntraining - character normalization training for Tesseract SYNOPSIS cntraining [-D dir] FILE... DESCRIPTION cntraining takes a list of .tr files, from which it generates the normproto data file (the character normalization sensitivity prototypes). OPTIONS -D dir Directory to write output files to. SEE ALSO tesseract(1), shapeclustering(1), mftraining(1) http://code.google.com/p/tesseract-ocr/wiki/TrainingTesseract3 COPYING Copyright (c) Hewlett-Packard Company, 1988 Licensed under the Apache License, Version 2.0 AUTHOR The Tesseract OCR engine was written by Ray Smith and his research groups at Hewlett Packard (1985-1995) and Google (2006-present). 02/09/2012 CNTRAINING(1)


schtasks run
Starts a scheduled task immediately. The run operation ignores the schedule, but uses the program file location, user account, and password saved in the task to run the task immediately.
Syntax
schtasks /run /tn TaskName [/s Computer [/u [Domain**\]User [/p** Password]]]
Parameters
/tn TaskName
Required. Identifies the task.
/s Computer
Specifies the name or IP address of a remote computer (with or without backslashes). The default is the local computer.
/u [Domain\]User
Runs this command with the permissions of the specified user account. By default, the command runs with the permissions of the current user of the local computer.
Copy
The specified user account must be a member of the Administrators group on the remote computer. The **/u** and **/p** parameters are valid only when you use **/s**.
/p Password
Specifies the password of the user account specified in the /u parameter. If you use the /u parameter, but omit the /p parameter or the password argument, Schtasks prompts you for a password.
Copy
The **/u** and **/p** parameters are valid only when you use **/s**.
/?
Displays help at the command prompt.
Remarks
Use this operation to test your tasks. If a task does not run, check the Task Scheduler Service transaction log, Systemroot\SchedLgU.txt, for errors.
Running a task does not affect the task schedule and does not change the next run time scheduled for the task.
To run a task remotely, the task must be scheduled on the remote computer. When you run it, the task runs only on the remote computer. To verify that a task is running on a remote computer, use Task Manager or the Task Scheduler transaction log, Systemroot\SchedLgU.txt.
Examples
To run a task on the local computer
The following command starts the "Security Script" task.
schtasks /run /tn "Security Script"
In response, SchTasks.exe starts the script associated with the task and displays the following message:
Copy
SUCCESS: Attempted to run the scheduled task "Security Script".
As the message implies, Schtasks tries to start the program, but it cannot very that the program actually started.
To run a task on a remote computer
The following command starts the Update task on a remote computer, Svr01:
schtasks /run /tn Update /s Svr01
In this case, SchTasks.exe displays the following error message:
Copy
ERROR: Unable to run the scheduled task "Update".
To find the cause of the error, look in the Scheduled Tasks transaction log, C:\Windows\SchedLgU.txt on Svr01. In this case, the following entry appears in the log:
Copy
"Update.job" (update.exe) 3/26/2001 1:15:46 PM ** ERROR **
The attempt to log on to the account associated with the task failed, therefore, the task did not run.
The specific error is:
0x8007052e: Logon failure: unknown user name or bad password.
Verify that the task's Run-as name and password are valid and try again.
Apparently, the user name or password in the task is not valid on the system. The following schtasks /change command updates the user name and password for the Update task on Svr01:
**schtasks /change /tn Update /s Svr01 /ru Administrator /rp PassW@rd3**
After the change command completes, the run command is repeated. This time, the Update.exe program starts and SchTasks.exe displays the following message:
Copy
SUCCESS: Attempted to run the scheduled task "Update".
As the message implies, Schtasks tries to start the program, but it cannot very that the program actually started.


{title:'POJO Marshalling', created:'8.2.0', flags:'todo'}
By default, JSON support is provided for HTTP request and response bodies. Other languages can be specified using any of the following builder methods:
Clients can also support multiple languages:
When using clients with multiple language support, the request language is selected by setting the
Languages can also be specified per-request.
The {@del oajr.client2.RestClient.Builder} class provides convenience methods for setting common serializer and parser settings.
Other methods are also provided for specifying the serializers and parsers used for lower-level marshalling support:
HTTP parts (headers, query parameters, form data...) are serialized and parsed using the {@link oaj.httppart.HttpPartSerializer} and {@link oaj.httppart.HttpPartParser} APIs. By default, clients are configured to use {@link oaj.oapi.OpenApiSerializer} and {@link oaj.oapi.OpenApiParser}. These can be overridden using the following methods:


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My name is Jainish Shah. I'm a Software Developer.
I build modern, simple, responsive application.
I am passionate about SAAS Solutions and Container Orchestration tools like DC/OS, Kubernetes, RedHat OpenShift, Docker Swarm.
I Have hands-on experience with CI/CD pipelines on cloud (AWS, GCP, Azure). Got a chance to contribution to the open source communities like puppet, homebrew, helm, mesosphere.
My work history has provided me a variety of business skills, which allow me to relate to all levels of management, to a variety of business positions, and work successfully with a diversity of personalities, customers, and end-users.
As being part of Solution Development team in JFrog I am working on cutting edge technologies like Mesosphere DC/OS, K8S, Homebrew, CircleCI, Terraform, AWS CloudFormation to provide ways to deploy Artifactory.
My education has provided me with a variety of information systems knowledge and practical skills; primarily in software engineering, Java development, and Continuous Integration / Continuous Delivery, as well as network design, implementation, and administration, information systems security, SQL Server and NoSQL query development, and database management (RIAK, MongoDB, InfluxDB, MySQL).
I also have proficient skills with website design, HTML, CSS, and JavaScript development (Angular.js, express.js, Node.js), as well as website administration.


The Asia New Zealand Foundation asked Salted Herring to design a website for their Media Centre, and I was contracted to do the front end development for the project. The CMS was written in Silverstripe, and so the front end was templated HTML5, using BEM SCSS for styling and Javascript/jQuery.
This project was highly organised, with regularly updated Trello and kanban boards. We were working in a small team to a tight deadline, and there was consistent communication with the designers, back end developers and project management. Fast coding was a priority.
I enjoyed writing design-focused front end code, and delving a bit into Silverstripe. Keeping every aspect of the code organised, readable and maintainable was a must, and seeing how other developers structure their projects was interesting and valuable.


| Path: | README.rdoc |
| Last Update: | Tue Dec 01 20:40:01 +0000 2009 |
The complete solution for Ruby command-line executables. Commander bridges the gap between other terminal related libraries you know and love (OptionParser, HighLine), while providing many new features, and an elegant API.
Install [Gemcutter](gemcutter.org) and execute:
$ sudo gem install commander
For more option examples view the Commander::Command#option method. Also an important feature to note is that action may be a class to instantiate, as well as an object, specifying a method to call, so view the RDoc for more information.
require 'rubygems' require 'commander/import' # :name is optional, otherwise uses the basename of this executable program :name, 'Foo Bar' program :version, '1.0.0' program :description, 'Stupid command that prints foo or bar.' command :foo do |c| c.syntax = 'foobar foo' c.description = 'Displays foo' c.action do |args, options| say 'foo' end end command :bar do |c| c.syntax = 'foobar bar [options]' c.description = 'Display bar with optional prefix and suffix' c.option '--prefix STRING', String, 'Adds a prefix to bar' c.option '--suffix STRING', String, 'Adds a suffix to bar' c.action do |args, options| options.default :prefix => '(', :suffix => ')' say "#{options.prefix}bar#{options.suffix}" end end $ foobar bar # => (bar) $ foobar bar --suffix '{' --prefix '}' # => {bar}
As mentioned above the highline gem is imported into ‘global scope’, below are some quick examples for how to utilize highline in your command(s):
# Ask for password masked with '*' character ask("Password: ") { |q| q.echo = "*" } # Ask for password ask("Password: ") { |q| q.echo = false } # Ask if the user agrees (yes or no) agree("Do something?") # Asks on a single line (note the space after ':') ask("Name: ") # Asks with new line after "Description:" ask("Description:") # Calls Date#parse to parse the date string passed ask("Birthday? ", Date) # Ensures Integer is within the range specified ask("Age? ", Integer) { |q| q.in = 0..105 } # Asks for a list of strings, converts to array ask("Fav colors?", Array)
In addition to highline‘s fantastic choice of methods we will continue to simplify common tasks using the following methods:
# Ask for password password # Ask for password with specific message and mask character password "Enter your password please:", '-' # Ask for CLASS, which may be any valid class responding to #parse. Date, Time, Array, etc names = ask_for_array 'Names: ' bday = ask_for_date 'Birthday?: ' # Simple progress bar (Commander::UI::ProgressBar) uris = %w[ http://vision-media.ca http://google.com http://yahoo.com ] progress uris do |uri| res = open uri # Do something with response end # 'Log' action to stdout log "create", "path/to/file.rb" # Enable paging of output after this point enable_paging # Ask editor for input (EDITOR or TextMate by default) ask_editor # Ask editor, supplying initial text ask_editor 'previous data to update' # Display a generic Growl notification notify 'Something happened' # Display an 'info' status notification notify_info 'You have #{emails.length} new email(s)' # Display an 'ok' status notification notify_ok 'Gems updated' # Display a 'warning' status notification notify_warning '1 gem failed installation' # Display an 'error' status notification notify_error "Gem #{name} failed" # Choose from an array of elements choice = choose("Favorite language?", :ruby, :perl, :js) # Alter IO for the duration of the block io new_input, new_output do new_input_contents = $stdin.read puts new_input_contents # outputs to new_output stream end # $stdin / $stdout reset back to original streams # Speech synthesis speak 'What is your favorite food? ' food = ask 'favorite food?: ' speak "wow, I like #{food} too. We have so much alike." # Execute arbitrary applescript applescript 'foo' # Converse with speech recognition server case converse 'What is the best food?', :cookies => 'Cookies', :unknown => 'Nothing' when :cookies speak 'o.m.g. you are awesome!' else case converse 'That is lame, shall I convince you cookies are the best?', :yes => 'Ok', :no => 'No', :maybe => 'Maybe another time' when :yes speak 'Well you see, cookies are just fantastic, they melt in your mouth.' else speak 'Ok then, bye.' end end
The options struct passed to action provides a default method, allowing you to set defaults in a clean manor to options which have not been set.
command :foo do |c| c.option '--interval SECONDS', Integer, 'Interval in seconds' c.option '--timeout SECONDS', Integer, 'Timeout in seconds' c.action do |args, options| options.default \ :interval => 2, :timeout => 60 end end
Aliases can be created using the alias_command method like below:
command :'install gem' do |c| c.action { puts 'foo' } end alias_command :'gem install', :'install gem'
Or more complicated aliases can be made, passing any arguments as if it was invoked via the command line:
command :'install gem' do |c| c.syntax = 'install gem <name> [options]' c.option '--dest DIR', String, 'Destination directory' c.action { |args, options| puts "installing #{args.first} to #{options.dest}" } end alias_command :update, :'install gem', 'rubygems', '--dest', 'some_path' $ foo update # => installing rubygems to some_path
Although working with a command executable framework provides many benefits over a single command implementation, sometimes you still want the ability to create a terse syntax for your command. With that in mind we may use default_command to help with this. Considering our previous :’install gem’ example:
default_command :update $ foo # => installing rubygems to some_path
Keeping in mind that commander searches for the longest possible match when considering a command, so if you were to pass arguments to foo like below, expecting them to be passed to :update, this would be incorrect, and would end up calling :’install gem’, so be careful that the users do not need to use command names within the arguments.
$ foo install gem # => installing to
Arbitrary help can be added using the following program symbol:
program :help, 'Author', 'TJ Holowaychuk<EMAIL_ADDRESS>Which will output the rest of the help doc, along with:
AUTHOR: TJ Holowaychuk<EMAIL_ADDRESS>Although most switches will be at the command level, several are available by default at the global level, such as —version, and —help. Using global_option you can add additional global options:
global_option('-c', '--config FILE', 'Load config data for your commands to use') { |file| ... }
This method accepts the same syntax as Commander::Command#option so check it out for documentation.
All global options regardless of providing a block are accessable at the command level. This means that instead of the following:
global_option('--verbose') { $verbose = true } ... c.action do |args, options| say 'foo' if $verbose ...
You may:
global_option '--verbose' ... c.action do |args, options| say 'foo' if options.verbose ...
Two core formatters are currently available, the default Terminal formatter as well as TerminalCompact. To utilize a different formatter simply use :formatter like below:
program :formatter, Commander::HelpFormatter::TerminalCompact
Or utilize the help formatter aliases:
program :formatter, :compact
This abstraction could be utilized to generate HTML documentation for your executable.
When adding a global or command option, OptionParser implicitly adds a small switch even when not explicitly created, for example -c will be the same as —config in both examples, however ’-c’ will only appear in the documentation when explicitly assigning it.
global_option '-c', '--config FILE' global_option '--config FILE'
For feature rich ASCII tables for your terminal app check out visionmedia‘s terminal-table gem at github.com/visionmedia/terminal-table
+----------+-------+----+--------+-----------------------+ | Terminal | Table | Is | Wicked | Awesome | +----------+-------+----+--------+-----------------------+ | | | | | get it while its hot! | +----------+-------+----+--------+-----------------------+
To utilize the notify and notify_STATUS methods you need to install github.com/visionmedia/growl which utilizes the ‘growlnotify’ executable. Note that growl is auto-imported by Commander when available, no need to require.
$ autospec
OR
$ spec --color spec
Feel free to fork and request a pull, or submit a ticket github.com/visionmedia/commander/issues
(The MIT License)
Copyright (c) 2008-2009 TJ Holowaychuk<EMAIL_ADDRESS>Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ‘Software’), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


Use the search to find GitHub repositories and owner information.
Form Value: {{ techLocationFormGroup.value | json }}


a
ng
Modifies the default behavior of the html A tag so that the default action is prevented when the href attribute is empty.
This change permits the easy creation of action links with the ngClick
directive
without changing the location or causing page reloads, e.g.:
Add Item
This directive can be used as custom element, but be aware of IE restrictions.
as element:


Dropdown
Home
link 1
Brazil
Australia
United States
Jamaica
Mexico
Age:
Younger than 18
21 or older
Between 18 and 21
State:
Select a State
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District Of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
Do you have a history of mental illness:
Yes
No
What is your reason for buying a gun:
For hunting animals
For self-defense
As part of a collection
For revenge
For leisure
Do you have a safe place to keep the gun:
Yes
No
Do you own a gun or hunting license:
Yes, I own a gun license.
Yes, I own a hunting license.
Yes, I own a gun and hunting license.
No, I don't own either.


Sei Young Kim makes 25-foot putt at CME Group Tour Championship to win $1.5M, richest prize in ...
NAPLES, Fla. - NAPLES, Fla. (AP) - Sei Young Kim makes 25-foot putt at CME Group Tour Championship to win $1.5M, richest prize in women's golf history.
Copyright 2019 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.


--- title: Antibiogram Composite Images keywords: fastai sidebar: home_sidebar summary: "Building composite images" description: "Building composite images" nb_path: "index.ipynb" ---
A project with a start up in the micro-biology industry led me to write
some simple form of tooling to automate the production of composite images. Image compositing is often used to combine related visual elements such as form, shape, color, pattern, or texture, from different sources of images into a single image. In its elementary form, composite image is the result of blending two images, one on top of the other.
The one on the top is called foreground and the bottom one, the background(Figure 1). Foreground image is smaller in sizes. It can also be described as active, when compared to background. The same foreground image can be used many times and allocated in different locations of the background image during production of composite images. Background image, on the other hand, is static. Similar to foreground, the same background image can be used many times during production of composite images, but it rarely needs any adjustment or change.
 It was ideal, in my case, for prototyping! And also, it is cheaper and sometimes easier to obtain than real images. Nonetheless, hardly composite images can fully substitute real images. Probably, a combination of both would be ideal for certain scenario.
Compositing images methods and utility functions:
Sample_nb_1.ipynb
When creating composite images, I found that it was often the case that I wanted to have the flexibility to choose the number of foreground images. To paste a single image, I first needed to find a coordinate, the location in the background image. And obviously, for each additional image that I choose to paste, more coordinates were required. Time spent generating coordinates soon increased exponentially and it became cumbersome as I built more composite images. Ideally, this process should be automated.
Initially, I wrote a script to generate random coordinates. Each random output(coordinates) was randomly selected from coordinates of the background image. In another words, the total possible number of coordinates is equal to image width multiplied by image height.
However, after generating some random coordinates, I realized that this wasn’t going be feasible as some generated coordinates were too close to each other leading foreground images to overlap. In addition, some few generated coordinates were located out of the petri dish. Creating a synthetic image with disks and zone of inhibition outside of a petri dish would be out of context and inconsistent with real images(Figure 2).
After few more tests, it became clear to me that to solve the above constraints, for each composite image I needed to generate random coordinates that falls within a smaller boundary(range), rather than the image size range. The boundary would first, limit the locations in which each image would appear and avoid image overlap when it happens. Second, it restricts the areas in which each disk and zone of inhibition would appear, it would locate them inside of the petri dish, making the synthetic image more realistic.
The illustration below depicts the idea. In this example, there are two boundaries(B1, B2), each for a different foreground image. Each boundary is limited by the size of horizontal(expand_x) and a vertical(expand_y) lines. The size of each line is the range of possible coordinates. The coordinate to paste the foreground image in boundary B1 will be selected randomly from the sequence of coordinates under list B1. And same applies to B2 boundary.
Position each foreground image:
Make Composite Images:


Select your hero
Search for the hero name (at least 3 characters):
Select a superhero:
--- choose a hero ---
Hover over a circle to display hero name


|
Name
|
Type
|
Description
|
| cacheConfig | xsd:string |
This field is not used.
|
| cacheConfigOnHcl | xsd:string[] |
Ignore this value.
|
| cacheConfigSupported | xsd:boolean |
Ignore this value.
|
| cimProviderInfo | VsanHostCimProviderInfo |
This field is not used.
|
| deviceDisplayName | xsd:string |
The human friendly product model description by which the controller
announces itself, e.g., "Intel Corporation PIIX4 ...".
|
| deviceId | xsd:long |
The deviceId of the PCI device, e.g. 48.
|
| deviceName | xsd:string |
The device name used by ESX to refer to the device right now, e.g. vmhba1.
|
| deviceOnHcl | xsd:boolean |
If the device shows up on the HCL at all.
|
| diskMode | xsd:string |
The disk mode (all flash or hybrid) for the disks on the controller.
Since vSAN API 6.6
|
| diskModeOnHcl | xsd:string[] |
If the device shows up on the HCL, and is supported for the release of ESXi,
this field will show the supported disk mode on HCL.
Since vSAN API 6.6
|
| diskModeSupported | xsd:boolean |
If the device shows up on the HCL, and is supported for the release of ESXi,
this field checks if the disk mode of the controller is supported.
Since vSAN API 6.6
|
| disks | VsanHclDiskInfo[] |
Additional information about disks behind this controller, if available.
Since vSAN API 6.6
|
| driverName | xsd:string |
The name of the driver, e.g. mpt2sas.
|
| driversOnHcl | VsanHclDriverInfo[] |
If the device shows up on the HCL, and is supported for the release of ESXi,
this field will list the supported driver versions, as well as additional
information for each driver, like associated firmware.
Since vSAN API 6.6
|
| driverVersion | xsd:string |
The version of the driver as reported by the driver kernel module,
e.g. '<IP_ADDRESS>-9vmw'.
|
| driverVersionsOnHcl | xsd:string[] |
If the device shows up on the HCL, and is supported for the release of ESXi,
this field will list the supported driver versions.
|
| driverVersionSupported | xsd:boolean |
If the device shows up on the HCL, and is supported for the release of ESXi,
and the driver version is detected to be supported
|
| extraInfo | KeyValue[] |
Any additional information not explicitly modeled in API.
Can be used for vendor specific information about features
of a controller.
|
| fwAuxVersion | xsd:string |
Auxiliary firmware version. Some controllers use an additional firmware
version, e.g. a "bundle version" or "build version". If present, its
populated here.
Since vSAN API 6.6
|
| fwVersion | xsd:string |
Ignore this value.
|
| fwVersionOnHcl | xsd:string[] |
Ignore this value.
|
| fwVersionSupported | xsd:boolean |
Ignore this value.
|
| issues | LocalizedMethodFault[] |
Any issues detected with the configuration of the the controller.
Since vSAN API 6.6
|
| queueDepth | xsd:long |
The maximum supported queue depth for the controller.
Since vSAN API 6.6
|
| queueDepthOnHcl | xsd:long |
If the device shows up on the HCL, and is supported for the release of ESXi,
this field will show the supported queue depth for the controller.
Since vSAN API 6.6
|
| queueDepthSupported | xsd:boolean |
If the device shows up on the HCL, and is supported for the release of ESX,
this field checks if the controller's queue depth is supported.
Since vSAN API 6.6
|
| raidConfig | xsd:string |
This field is not used.
|
| raidConfigOnHcl | xsd:string[] |
Ignore this value.
|
| raidConfigSupported | xsd:boolean |
Ignore this value.
|
| releasesOnHcl | xsd:string[] |
If the device is on the HCL, this holds the names of the supported releases.
|
| releaseSupported | xsd:boolean |
If the device is on the HCL and the release of ESXi in use is supported.
|
| remediableIssues | xsd:string[] |
Keys of issues which can be remediated.
Since vSAN API 6.6
|
| subDeviceId | xsd:long |
The subDeviceId of the PCI device, e.g. 5549.
|
| subVendorId | xsd:long |
The subVendorId of the PCI device, e.g. 6518.
|
| toolName | xsd:string |
The name of the vendor tool. E.g., perccli.
Since vSAN API vSAN 6.7U3
|
| toolVersion | xsd:string |
The version of the vendor tool.
Since vSAN API vSAN 6.7U3
|
| usedByVsan | xsd:boolean |
Used by vSAN. If not set, "True" should be assumed.
Since vSAN API 6.6
|
| vendorId | xsd:long |
The vendorId of the PCI device, e.g. 4096.
|
|
Properties inherited from DynamicData |
| None |


02. Smart Contracts and Solidity Introduction
# Smart Contracts and Solidity Introduction
Before we dive into writing smart contracts, let's step back and review the basics of a smart contract in Ethereum. We will cover their purpose, their properties, and what languages can be used to write them.
C4L3 Concept 2 Part1 V2
# Smart Contract Lifecycle and Layout
Now that we have the basics down, it's important to understand what properties and purpose smart contracts have at each stage of the lifecycle.
Also, we will see the layout of a typical smart contract.
C4L3 Concept 2 Part2 V3
#### Smart Contract Lifecycle
- Develop - Write the contract and compile.
- Deploy - Once deployed, the smart contract is un-editable. After deploying on any network (e.g. mainnet, testnet), you get an address specific to where contract was deployed.
- Invoke - Use the address created after the smart contract is deployed to invoke contract to call functions on it.
- Destroy - Once a contract has finished its purpose, it is important to destroy it so no one can call functions on it anymore. Remember that smart contracts cannot be edited once deployed. Also, often smart contracts are tied to funds, so keeping it around if it is no longer used puts these funds at risk.
1
SOLUTION:
contract2
SOLUTION:
True3


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"Taz"The youngest and, according to some, the most exciting of the Warner Bros. classic cartoon characters is Bugs' most mindless, most ferocious antagonist, The Tasmanian Devil. Baroque enough that there should be such a cartoon character as a Tasmanian Devil; a name would just be excess baggage.
Taz has now become one of the most popular in the entire Looney Tunes gallery. He was literally thrown away when Warner supervisor Ed Selzer forbade his director, Bob McKimson, to bring him back for any more encores after his premiere appearance in Devil May Hare in 1954. But when Jack Warner started to miss the little Devil, and ask when he was going to show up again, Selzer had to rescind that order.
When Mel Blanc began to develop a voice for this new character, he asked, all innocence, "What does he sound like?" and was told, "Nobody has ever heard one." So he was compelled to ad-lib some kind of glottal-guttural gravelly gargle, now lovingly described as "Taz-speak."


MG Experience on Wheels - mobile showroom facility launched in India
by Team ODMG Motor India has introduced a new programme called MG Experience on Wheels which mainly focuses on spreading brand awareness to tier 2 and tier 3 cities of India. Under the programme, MG Motor has transformed a 45 feet long trailer into a mobile showroom with an MG Hector on showcase throughout.
The mobile showroom will tour pan India starting December 5 and will mainly be stationed in tier 2 and tier 3 cities of India for wider customer engagement. The mobile showroom will also be equipped with digital experience centre where the potential customers can configure the car according to their choice before they go ahead with the purchase decision.
Gaurav Gupta, Chief Commercial Officer, MG Motor India said, "The latest on-ground campaign builds on our 'Automotive Retail 2.0' proposition that leverages innovative digital tools to deliver engaging, immersive, and differentiated experiences to our customers. MG Experience on Wheels will help us expand our reach further and garner customer interest in markets where our showrooms are not yet present."
Currently, MG Motor India has 150 dealerships in India and aims to add a 100 more to the list before the Q2 of 2020.
Also Read,
MG Motor India opens its first Digital Studio in Bengaluru
MG Motor India partners with Delta Electronics to develop EV infrastructure


Counting Double Slit Maxima
I describe how to count the theoretical maximum number of bright spots for a double slit interference experiment.
I describe how to count the theoretical maximum number of bright spots for a double slit interference experiment.
I derive and solve the diffusion equation.
The Cupcake Physics blog just got a makeover!
I derive the Box-Muller algorithm and visualize the random samples that it produces.
I derive the force exerted by a falling rope on a scale. There are many variations of this problem involving chains, sand, string, etc.
I derive an expression for the horizontal distance traveled by a projectile as a function of angle. I then compare the distance traveled by a projectile launched on a flat surface versus one launched off of a cliff.
I derive the maximum mass of a cylinder that can be levitated by a laser beam of a certain power.
I finish my discussion of some of the no-go theorems in quantum information theory.
I continue my overview of the no-go theorems in quantum information theory.
I calculate the point of no electric field and no electric force around two point charges with different signs and magnitudes.


spiral_horizon.Rd
Draw horizon chart along the spiral
spiral_horizon(x, y, n_slices = 4, slice_size, pos_fill = "#D73027", neg_fill = "#313695", use_bars = FALSE, bar_width = min(diff(x)), negative_from_top = FALSE, track_index = current_track_index())
| x | X-locations of the data points. |
|---|---|
| y | Y-locations of the data points. |
| n_slices | Number of slices. |
| slice_size | Size of the slices. The final number of sizes is |
| pos_fill | Colors for positive values. |
| neg_fill | Colors for negative values. |
| use_bars | Whether to use bars? |
| bar_width | Width of bars. |
| negative_from_top | Should negative distribution be drawn from the top? |
| track_index | Index of the track. |
Since the track height is very small in the spiral, horizon chart visualization is a efficient way to visualize distribution-like graphics.
A list of the following objects:
a color mapping function for colors.
a vector of intervals that split the data.
# \donttest{ df = readRDS(system.file("extdata", "global_temperature.rds", package = "spiralize")) df = df[df$Source == "GCAG", ] spiral_initialize_by_time(xlim = range(df$Date), unit_on_axis = "months", period = "year", period_per_loop = 20, polar_lines_by = 360/20, vp_param = list(x = unit(0, "npc"), just = "left"))spiral_horizon(df$Date, df$Mean, use_bar = TRUE)# }


[§340F-9] Injunctions and civil penalty. Any person who violates any provision of this chapter, or any rules, regulations, criterion, procedure, or certificate issued hereunder may, in a legal action commenced by the board;
(1) Be enjoined from continuing such violation; and
(2) Be subject to a civil penalty of not more than $25,000 a day for each day of continuing violation. [L 1991, c 273, pt of §1]