The Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors and connectivity to enable it to achieve greater value and service by exchanging data with the manufacturer, operator and/or other connected devices. Each thing is uniquely identifiable through its embedded computing system but is able to interoperate within the existing Internet infrastructure.
4.9 Billion Connected "Things" Will Be in Use in 2015...
25 Billion Connected "Things" Will Be in Use by 2020...
That's alot of things!!!
But Wait there's more...
What does IoT have to do with Big Data?
Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications... The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correlations to be found to "spot business trends, determine quality of research, prevent diseases, link legal citations, combat crime, and determine real-time roadway traffic conditions.
Volume
Velocity
Variety
Forbes: $125 Billion Big Data Analytics Market in 2015
Mike Olsen answers What is Hadoop?
Big Data Job Trends
Data Science
Hype Cycle for Emerging Technology 2014
Let's do a quick Review of the Key Components of Big Data.
Hadoop
Hadoop HDInsight Ecosystem
Let's do a quick Review of the Key Components of Big Data.
HDFS: HDFS is a distributed, scalable, and portable file system written in Java for the Hadoop framework. Each node in a Hadoop instance typically has a single namenode; a cluster of datanodes form the HDFS cluster. The situation is typical because each node does not require a datanode to be present. Each datanode serves up blocks of data over the network using a block protocol specific to HDFS. The file system uses the TCP/IP layer for communication.
MapReduce: is a programming model for processing large data sets, and the name of an implementation of the model by Google. MapReduce is typically used to do distributed computing on clusters of computers.
Writing a parallel-executable program has proven over the years to be a very challenging task. MapReduce simples the process by requiring coders to write only the simpler Map() and Reduce() functions, which focus on the logic of the specific problem at hand, while the "MapReduce System" handles the marshalling of the distributed servers, running the various tasks in parallel, managing all communications and data transfers between the various parts of the system, providing for redundancy and failures, and overall management of the whole process.
HDFS Features
Designed to store large files
Fault tolerant and self-healing distributed file system
Stores files as large blocks (64 to 128 MB)
Each block stored on multiple servers
Data is automatically re-replicated on need
Accessed from command line, Java API, C API, and... C#
MapReduce Features
Fine grained Map and Reduce tasks
Improved load balancing
Faster recovery from failed tasks
Automatic re-execution on failure
In a large cluster, some nodes are always slow or flaky
Introduces long tails or failures in computation
Framework re-executes failed tasks
Locality optimizations
With big data, bandwidth to data is a problem
Map-Reduce + HDFS is a very effective solution
Map-Reduce queries HDFS for locations of input data
Map tasks are scheduled local to the inputs when possible
"In March, when Apple announced its ResearchKit initiative to allow people to share their information with researchers working on projects in asthma, heart disease, diabetes, breast cancer and Parkinson’s through various apps, more than 41,000 people volunteered within the first five days."
Big data has moved from "cool experiments" toward a demand for integration with other production environments. Even large Hadoop clusters often remain isolated and organizations are now demanding "integrated" operations.
Repeatability is the new demand in big data. Can use cases be broken down into components that are reused throughout multiple applications?
Need for better self-service data preparation tools too accelerate the shift toward business-user-generated data discovery and advanced analytics
Skills Remain an Important Inhibitor to companies: “Spreadsheet tools are no longer good enough... Database experience is vital for CPAs in these cases. At our firm, we have invested in people with this experience and given them database training opportunities and encouraged obtaining certifications. Spreadsheet tool capabilities stop at around 1 million rows of data, which is powerful but not enough for a case like this one.”
- Tim Bryan, CPA/CFF/CITP, a forensic accounting and technology services senior manager at Crowe Horwath in Sacramento, Calif.
Curly Fry Conundrum
Michal Kosinski, David Stillwell, and Thore Graepel
Free School Lane, The Psychometrics Centre, University of Cambridge, Cambridge CB2 3RQ United Kingdom; and
Microsoft Research, Cambridge https://www.youtube.com/watch?t=512&v=hgWie9dnssU
Turns Out
The skillsets to understand Big Data results are not just IT
A combination of business, IT, and even
socialology and pyschology. As is the case, with Curly Fries and Homophily.
Understand what the data is telling us
So What are the major Trends today?
Overall Trends in IT
Mobility, Big Data, and Cloud continue (and will continue for the forseeable future) to be Overarching Themes in IT
Niche:
Open Sourcing of .NET
Move to Microservices over Monoliths
Linux Containers (Docker)
Lighter tends to be better (Node.js/Embedded Web Containers)
JavaScript is Eating the World
Functional Programming
Overall Trends in Big Data
SQL-on-Hadoop: Data stored in Hadoop is commonly accessed using MapReduce. This API-based approach requires a programmer to write application code to execute tasks against a Hadoop cluster. While effective for data manipulation tasks like extraction, transformation and loading (ETL), this method has proven cumbersome for data exploration and business intelligence (BI).
Apache Kylin
Facebook Presto
Apache Drill
Apache Spark: Apache Spark has been steadily gaining ground as a fast and general engine for large-scale data processing. The engine is written in Scala and is well suited for applications that reuse a working set of data across multiple parallel operations. It’s designed to work as a standalone cluster or as part of Hadoop YARN cluster.
In Memory
As such, Spark can be seen as a potential replacement for the MapReduce functions of Hadoop, while Spark has the ability to run on top of an existing Hadoop cluster
Case Study: Marketing Campaigns
Radius chose Apache Spark for their data processing framework to maximize throughput,
maximize speed, and maximize engineer productivity. At the core of Radius’ data processing
efforts, they use the following Spark components (https://databricks.com/wp-content/uploads/2015/04/Databricks_Case_Study_Radius.pdf):
Spark Core: Fast batch processing of specific modules for cleaning, matching, and
validating the quality of business listings
MLib: Importing machine learning algorithms on the fly for quick testing and data
quality verification
GraphX: Visualization and understanding of the results of specific changes to the
Radius business listing index
Spark SQL: Quick and easy access to the data from Radius’ front end services and
products
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. The design is heavily influenced by transaction logs
Apache Storm: Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use!
Seen more of a replacement to hadoop
Hadoop of real-time processing
You can think of topologies as roughly analogous to a MapReduce job in Hadoop, except that given Storm’s focus on real-time, stream-based processing, topologies default to running forever or until manually terminated.
Once a topology is started, the spouts bring data into the system and hand the data off to bolts (which may in turn hand data to subsequent bolts) where the main computational work is done. As processing progresses, one or more bolts may write data out to a database or file system, send a message to another external system, or otherwise make the results of the computation available to the users.
H2O: Predictive analytics are used in more and more products, often directly in end-user facing functionality. H2O is an interesting new open source package (with a startup behind it) that makes predictive analytics accessible to project teams due to its easy-to-use user interface. At the same time it integrates with the data scientists’ favourite tools, R and Python, as well as Hadoop and Spark. It offers great performance and, in our experience, easy integration at runtime, especially on JVM-based platforms.
“Finance requires access to and integration with larger data stores from various departments, including sales, procurement and human resources. This can be done with solutions that leverage in-memory computing (IMC) to aggregate, manage, analyze and share larger volumes of data, including transactional data when needed.” ~ Gartner,2014
How Can you Use Some of these Toolkits in your Classroom or your research?
Traditional RDMS (such as SQL Server)
On-Prem Install (I'm partial to Cloudera)
AWS:
EC2: IaaS
Kinesis: Real-time Processing of Streaming Big Data
Data Pipeline*: Orchestration for Data-Driven Workflows
Microsoft Azure:
Azure: IaaS
HDInsight: Real-time Processing of Streaming Big Data


Keucereus:
Very well. When you enter the Seed of Destruction, you will be assigned to either attack or defend the Dragonkin's stronghold depending on the situation. Either way, we need your help to stabilize this area.
Whatever your mission, there will likely be a time limit in which to complete it.
Ah, wait! Take this with you...
"What is it?"


We know how much an attractive and functional website can influence your business. We are fully aware that an easy-to-use software can help you to better manage your problems, that's why we provide you with:
As an example, here are some recent studies in this field:
One of the courses at École des Ponts ParisTech, the Mathematical and Computer Engineering course, is entirely dedicated to learning programming, with excellent training in mathematics and statistics. In addition, École des Ponts ParisTech has one of the best computer science laboratories in France, the Imagine Laboratory.
Computer Science and Mathematics Engineering Training
École des Ponts Computer Science Laboratory


First Name
Last Name
Hello {{ name }} {{ lastname }}
Hover your mouse over me for a few seconds to see my dynamically bound title!
Toggle message:
Now you see me
{{ todo.text }}
{{ message }}
Reverse Message


ScatterChart
class ScatterChart extends Chart (View source)
ScatterChart Class
A chart that lets you render each series as a different marker type from the following list: line, area, bars, candlesticks and stepped area.
To assign a default marker type for series, specify the seriesType property. Use the series property to specify properties of each series individually.
Traits
Constants
| TYPE |
Javascript chart type.
|
| VERSION |
Javascript chart version.
|
| VIZ_PACKAGE |
Javascript chart package.
|
| VIZ_CLASS |
Google's visualization class name.
|
Methods
Builds a new ScatterChart with the given label, datatable and options.
Shortcut method to set the value of an option and return $this.
Parses the config array by passing the values through each method to check validity against if the option exists.
Sets any configuration option, with no checks for type / validity
The background color for the main area of the chart.
An object with members to configure the placement and size of the chart area (where the chart itself is drawn, excluding axis and legends).
An object with members to configure various aspects of the legend.
Where to place the chart title, compared to the chart area.
Defines how chart annotations will be displayed.
Where to place the axis titles, compared to the chart area.
An array containing the crosshair properties for the chart.
Controls the curve of the lines when the line width is not zero.
Whether the chart throws user-based events or reacts to user interaction.
An object with members to configure various horizontal axis elements.
If set to true, will draw series from bottom to top.
When selectionMode is 'multiple', users may select multiple data points.
An array of objects, each describing the format of the corresponding series in the chart.
A theme is a set of predefined option values that work together to achieve a specific chart behavior or visual effect.
Defines how the chart trendlines will be displayed.
An object with members to configure various vertical axis elements.
Details
at line 113
__construct(
Label $chartLabel,
DataTable $datatable,
array $config = array())
Builds a new ScatterChart with the given label, datatable and options.
in
JsonConfig at line 64
mixed
__get(
string $option)
Get the value of a set option via magic method.
in
JsonConfig at line 75
Options
getOptions()
Gets the Options object for the JsonConfig
in
JsonConfig at line 90
JsonConfig
setOption(
string $option,
mixed $value)
Shortcut method to set the value of an option and return $this.
In order to maintain backwards compatibility, ConfigObjects will be unwrapped.
in
JsonConfig at line 106
setOptions(
array $config)
Parses the config array by passing the values through each method to check validity against if the option exists.
in
JsonConfig at line 275
array
jsonSerialize()
Custom serialization of the JsonConfig object.
in
Chart at line 111
string
getType()
Returns the chart type.
in
Chart at line 122
bool
hasEvents()
Checks if any events have been assigned to the chart.
in
Chart at line 133
EventManager
getEvents()
Retrieves the events if any have been assigned to the chart.
in
Chart at line 164
Chart
events(
array $events)
Register javascript callbacks for specific events.
Set with an associative array where the keys are events and the values are the javascript callback functions.
Valid events are: [ animationfinish | error | onmouseover | onmouseout | ready | select | statechange ]
in
Chart at line 196
Chart
datatable(
DataTable $datatable)
Assigns a datatable to use for the Chart.
in
Chart at line 221
Chart
customize(
array $optionArray)
Sets any configuration option, with no checks for type / validity
This is method was added in 2.5 as a bandaid to remove the handcuffs from users who want to add options that Google has added, that I have not. I didn't intend to restrict the user to only select options, as the goal was to type check and validate. This method can be used to set any option, just pass in arrays with key value pairs for any setting.
If the setting is an object, per the google docs, then use multi-dimensional arrays and they will be converted upon rendering.
in
Chart at line 251
string
getDataTableJson()
Returns a JSON string representation of the datatable.
in
Chart at line 271
string
render(
string $elemId)
Outputs the chart javascript into the page.
Pass in a string of the html elementID that you want the chart to be rendered into.
in
Chart at line 290
Chart
animation(
array $animationConfig)
Set the animation options for a chart.
in
Chart at line 304
Chart
backgroundColor(
array $backgroundColorConfig)
The background color for the main area of the chart.
Can be a simple HTML color string, or hex code, for example: 'red' or '#00cc00'
in
Chart at line 321
Chart
chartArea(
array $chartAreaConfig)
An object with members to configure the placement and size of the chart area (where the chart itself is drawn, excluding axis and legends).
Two formats are supported: a number, or a number followed by %. A simple number is a value in pixels; a number followed by % is a percentage.
in
Chart at line 338
Chart
colors(
array $colorArray)
The colors to use for the chart elements.
An array of strings, where each element is an HTML color string for example:['red','#004411']
in
Chart at line 362
Chart
fontSize(
integer $fontSize)
The default font size, in pixels, of all text in the chart.
You can override this using properties for specific chart elements.
in
Chart at line 378
Chart
fontName(
string $fontName)
The default font face for all text in the chart.
You can override this using properties for specific chart elements.
in
Chart at line 408
Chart
legend(
array $legendConfig)
An object with members to configure various aspects of the legend.
To specify properties of this object, pass in an array of valid options.
in
Chart at line 441
Chart
titlePosition(
string $titlePosition)
Where to place the chart title, compared to the chart area.
Supported values: 'in' - Draw the title inside the chart area. 'out' - Draw the title outside the chart area. 'none' - Omit the title.
in
Chart at line 461
Chart
titleTextStyle(
TextStyle $textStyle)
An array of options for defining the title text style.
in
Chart at line 474
Chart
tooltip(
array $tooltip)
An object with members to configure various tooltip elements.
in
AnnotationsTrait at line 15
Chart
annotations(
array $annotationConfig)
Defines how chart annotations will be displayed.
in
AxisTitlesPositionTrait at line 21
Chart
axisTitlesPosition(
string $position)
Where to place the axis titles, compared to the chart area.
Supported values: in - Draw the axis titles inside the the chart area. out - Draw the axis titles outside the chart area. none - Omit the axis titles.
in
CrosshairTrait at line 15
Chart
crosshair(
array $crosshairConfig)
An array containing the crosshair properties for the chart.
in
CurveTypeTrait at line 18
Chart
curveType(
string $curveType)
Controls the curve of the lines when the line width is not zero.
Can be one of the following: 'none' - Straight lines without curve. 'function' - The angles of the line will be smoothed.
in
DataOpacityTrait at line 19
Chart
dataOpacity(
float $dataOpacity)
The transparency of data points
1.0 being completely opaque and 0.0 fully transparent.
in
EnableInteractivityTrait at line 18
Chart
enableInteractivity(
boolean $enableInteractivity)
Whether the chart throws user-based events or reacts to user interaction.
If false, the chart will not throw 'select' or other interaction-based events (but will throw ready or error events), and will not display hovertext or otherwise change depending on user input.
in
ForceIFrameTrait at line 16
Chart
forceIFrame(
boolean $iframe)
Draws the chart inside an inline frame.
Note that on IE8, this option is ignored; all IE8 charts are drawn in i-frames.
in
HorizontalAxisTrait at line 18
Chart
hAxis(
array $horizontalAxisConfig)
An object with members to configure various horizontal axis elements.
To specify properties of this property, create a new HorizontalAxis object, set the values then pass it to this function or to the constructor.
in
LineWidthTrait at line 17
Chart
lineWidth(
integer $width)
Data line width in pixels.
Use zero to hide all lines and show only the points. You can override values for individual series using the series property.
in
OrientationTrait at line 17
Chart
orientation(
boolean $orientation)
Sets the orientation of the chart.
When set to 'vertical', rotates the axes of the chart so that (for instance) a column chart becomes a bar chart, and an area chart grows rightward instead of up
in
PointShapeTrait at line 19
Chart
pointShape(
string $shape)
The shape of individual data elements.
'circle', 'triangle', 'square', 'diamond', 'star', or 'polygon'.
in
PointSizeTrait at line 17
Chart
pointSize(
integer $size)
Diameter of displayed points in pixels.
Use zero to hide all points. You can override values for individual series using the series property.
in
ReverseCategoriesTrait at line 16
Chart
reverseCategories(
boolean $reverseCategories)
If set to true, will draw series from bottom to top.
The default is to draw top-to-bottom.
in
SelectionModeTrait at line 16
Chart
selectionMode(
string $selectionMode)
When selectionMode is 'multiple', users may select multiple data points.
in
SeriesTrait at line 21
Chart
series(
array $seriesConfigArray)
An array of objects, each describing the format of the corresponding series in the chart.
To use default values for a series, specify an null in the array. If a series or a value is not specified, the global value will be used.
in
ThemeTrait at line 26
Chart
theme(
string $theme)
A theme is a set of predefined option values that work together to achieve a specific chart behavior or visual effect.
Currently only one theme is available: 'maximized' - Maximizes the area of the chart, and draws the legend and all of the labels inside the chart area. Sets the following options:
chartArea: {width: '100%', height: '100%'}, legend: {position: 'in'}, titlePosition: 'in', axisTitlesPosition: 'in', hAxis: {textPosition: 'in'}, vAxis: {textPosition: 'in'}
in
TrendlinesTrait at line 17
Chart
trendlines(
array $trendlineConfigArray)
Defines how the chart trendlines will be displayed.
in
VerticalAxisTrait at line 18
Chart
vAxis(
array $verticalAxisConfig)
An object with members to configure various vertical axis elements.
To specify properties of this property, create a new VerticalAxis object, set the values then pass it to this function or to the constructor.


Police arrest 4 men for crystal meth in South Kohala drug bust | Honolulu Star-Advertiser
Hawaii island police have arrested four men following a drug bust in South Kohala earlier this month.
At about 1:50 p.m. on Nov. 8, vice officers, along with South Kohala patrol officers, executed a search warrant for a home on Nani Waimea Street, and recovered 10.2 grams of crystal methamphetamine along with a .22 caliber rifle.
They arrested and charged Jose Carpio, 59, and Facundo Yaplag, 61, both of Kamuela, and Joseph Sullivan, 31, of Paauilo with the promotion of a dangerous drug in the third-degree. Bail was set at $2,000 for each individual.
Officers also arrested and charged Kasey Hui-Ahsam, 35, with the promotion of a dangerous drug in the second-degree, promotion of a dangerous drug in the third-degree, mandatory firearm registration, place to keep a firearm and failure to appear and contempt of court. His bail was set at $11,450.
Yaplag posted bail and was released. Carpio, Sullivan and Hui-Ahsam were unable to post bail and were released to the district court.
Additionally, police arrested a 36-year-old woman and a 35-year-old man who live at the residence. They were released pending further investigation.


@CheckReturnValue @NonNull @SchedulerSupport("none") fun BillingClient.isReadyAsync(): Single<Boolean>
Checks if the client is currently connected to the service, so that requests to other methods will succeed.
Note: isReadyAsync does not operate by default on a particular Scheduler.
Warning: This method should be executed on MainThread, it will throw IllegalStateException if not.
See Also
Return
a Single that emits true if the client is currently connected to the service, false otherwise.


I like well-formatted, plain text emails, and I like reading them in a monospace font. I find plain text to be more readable, and provides less ways for people to impact this legibility. Sadly, Outlooks defaults to settings that seemingly encourage bad email ettiquete. Fortunately, we can wrangle Outlook into working some bit normally. You still need to do a bit of work (removing the Outlook context header, giving out to people for top-posting (☺), etc.), but it’s better.
Send new emails using plain text
The first step on our road to plain text greatness is to always send new emails using plain text. This won’t modify the formatting of replies: only new emails from you.
You can do this in settings menu (Alt + F, Alt + T). Once here, click on the mail tab and change the “Compose messages in this format:” option.
Prefix and wrap replies correctly
Next up, let’s prefix our emails with the ‘> ’ character. Scroll down on the same settings dialog and enable this.
We should also disable stripping of extra line breaks and force wrapping of the message. For the latter, note that this wrapping is done using Windows’ CRLF combination, thus, users of non-Windows clients may see an extra newline between each line. This isn’t configurable, sadly.
Display emails in monospace font
The final step of this is display the emails in a nice, monospace font. I have Source Code Pro installed, and use the “Light” variant of this in Outlook. To do this, select the “Stationary and Fonts…” button in that same pane.
Once here, modify the config for “Composing and reading plain text messages”.
Finally, set your desired monospace font.
Wrap Up
Better plain text emails, for the win.


Case study
English language consultancy wins business in Turkey
Market visit support from UKTI helps Hampshire based Best Business English start exporting its services in Turkey.
English language consultancy Best Business English has successfully entered the Turkish market after receiving help from UK Trade and Investment (UKTI). Best Business English took part in 2 UKTI market visits and used UKTI’s Export Communication Review (ECR) to prepare for market entry.
Nick Keith, Director, Best Business English found the support of UKTI invaluable,
I never dreamed I would be an exporter before I began working with UKTI. The network, services and products have made exporting possible for Best Business English.
They are a vital support service and held in high esteem in other markets, giving my business further accreditation to prospective clients.
The UKTI market visits offer a valuable experience. The events you attend and people you meet, as well as the wider UKTI network available, are inspirational for businesses looking to export.
 UKTI is the first stop for any business looking to export.
New business in Turkey
The English language consultancy has won deals with several businesses based in Turkey.
Success includes working with the Turkish branch of Danish maritime safety company, Viking Life-Saving Equipment at its office near Istanbul. Best Business English is working to improve the business English language skills of staff for communications with their parent company and non-Turkish customers.
Preparing to go global
Nick Keith worked with a UKTI International Trade Adviser (ITA) to assess his export strategy and options after he first approached UKTI for help.
He was advised to concentrate on entering one market at a time.
Nick chose to enter the Turkish market due to his fondness of the country and culture, but also because of the potential opportunities in his sector:
Nick Keith said,
I found that many European markets were already saturated with ‘English for business’ consultancies. This competition would make it more challenging for Best Business English to succeed in these markets.
After some initial research, I discovered that I offered a much more niche service in Turkey.
Market visit to research the Turkish market
Nick Keith joined another UKTI market visit to Istanbul in 2014. During this visit he was able to experience the business culture and etiquette first-hand. He was also able to meet with prospective partners and clients.
Nick Keith said,
You learn more about a market the more often you visit it.
During my market visit in 2014, I established important differences between how we do business in Britain, and how business is done in Turkey. For example, telephone communication is often preferred to emails, and building a friendly and trusting relationship is a crucial factor for Turkish businesses.
Developing a communications strategy
After visiting the market he realised the need to develop an international communications strategy.
Nick Keith made use of UKTI’s ECR service to further help prepare for doing business in Turkey.
This recommended refining website Search Engine Optimisation (SEO) and content, with advice to translate some webpages into Turkish.
Nick Keith said,
The ECR has helped me optimise my website for Turkish consumption.
Having part of the website in Turkish is very important, especially as many of my potential clients do not yet speak English with confidence. As a result, Turkish businesses visiting my website will be more engaged and eager to do business.
Developing contacts
Nick Keith joined a UKTI market visit to Istanbul in February 2015. This time, Nick was able to continue talks with prospects and clients and gain new business in the market.
He was also able to take advantage of a business-to-business (B2B) event organised by the British Chamber of Commerce in Turkey (BCCT). This enabled the market visit delegates to meet with prospective clients.
Nick Keith said,
Overall this year’s market visit has been fantastic. There have been some really interesting networking opportunities and I have managed to create some great contacts.
In particular, I have a further 2 meetings lined up over the next couple weeks with companies I met at the BCCT B2B event.
This has granted me a great entry point with businesses who I am now able to build a relationship with and further assess their requirements for my service.
Future business prospects
Nick is planning stage a seminar at the British Consulate for Turkish companies in October 2015 in conjunction with BCCT. This will be hosted by a panel of English-speaking business experts from different Western countries.
Best Business English are looking forward to another successful year of exporting to Turkey, with plans to expand into other surrounding markets in 2016.
Nick Keith said,
Turkey is the perfect springboard into surrounding markets such as south Caucasus, central Asia and the Middle East.
There is potential for business opportunities outside of Turkey’s borders which I am looking to expand into in the future.
Lev Denker, ITA and Turkey market visit leader, said:
It is great to see Best Business English making inroads into the Turkish market.
Nick researched and understood the market well during his first mission to Turkey and went back with a product that fulfils the requirements of corporate clients in Turkey - a recipe for success.
About Best Business English
Nick Keith established Best Business English as a consultancy to train non-English speaking businesses in English language and Western culture.
It offers specialised and tailored consultancy based on the objectives and industry sector of its clients.
Fast facts
| Case study | Trade |
| Company | Best Business English |
| Industry | Education and training |
| Target market | Turkey |
| UKTI services | Market Visit; Passport to Export; Export Communication Review |
| Website | www.bestbusinessenglish.com |


Showpieces offer an interactive opportunity to show off your ideas or accomplishments to the VL/HCC community. Showpieces helps to start conversations that could lead to new collaborations. In particular, they help researchers to demonstrate their research to industry partners and they help graduate students to meet faculty from other universities. Showpieces can be tool demonstrations, videos, downloadable apps, handouts, electronic devices, physical prototypes, or any other artifacts that facilitate meaningful interactions with other conference attendees.
We welcome submissions that cover (but that are not limited to) the following topics:
2-pages PDF file, following standard IEEE Conference Proceedings format, which contains the following information:
The submission is not the showpiece. The showpiece itself does not need to be submitted, nor does it need to exist when the 2-page PDF is submitted. For example, if the showpiece will be a video, then the video does not need to be submitted with the PDF. If the showpiece does not yet exist, the submission should simply explain what showpiece will be created to present the relevant content.
Please submit your paper via Easy Chair and indicate as part of the title whether you wish to publish this document or not ("publishable/non-publishable"). Your option affects how the 2-page PDF is reviewed and published (as explained below). When no option is specified, we treat your submission as publishable.
Non-publishable submissions will be reviewed based on two criteria
Submissions accepted as non-publishable submissions will not be included in the proceedings.
The PDFs indicated as publishable will be peer-reviewed. These submissions will be reviewed based on the following criteria:
Publishable submissions should make standalone contributions that are intelligible even in the absence of the actual showpiece.
Accepted publishable submissions will be included in the VL/HCC conference proceedings (IEEE Xplore Digital Library) as archival 2-page papers provided that at least one author registers for the conference.
If a submission fails to meet the criteria for publication, but could be accepted as a non-publishable submission, then we may suggest switching the submission to be non-publishable. For example, a submission presenting work that already will be appearing elsewhere in the main conference would be a reasonable non-publishable submission, but it might not meet the novelty criterion required for a publishable submission.
The VL/HCC program will include one showpiece session. During this session, showpieces will be presented in a large room simultaneously by many different presenters, with each presenter allocated a specific assigned space for presenting a showpiece. Internet connectivity, chairs, and table space will be available, as well as wall or easel space for hanging a poster. Showpiece presenters are expected to bring all other materials and equipment required, including any computer hardware required for presenting the showpiece.
For further information, please contact the showpieces chairs Miguel Goulão (primary contact) and Birgit Hofer.


Post Malone Wins 2019 AMA For Favorite Rap/Hip-Hop Album
by VladTVVotes from the public reportedly determine who wins the American Music Awards, and now the public has decided that Post Malone should be given the ‘Favorite Rap/Hip Hop Album’ award for his project ‘Hollywood Bleeding.’
This left many on social media upset and confused, mainly because Post Malone’s album barely contains any hip hop. His album beat out other projects that were nominated in the category like Meek Mill’s ‘Championships’ as well as Travis Scott’s ‘Astroworld.’
Take a look above.


According to different cultural background mehandi can be divided into several types. Most famous types of mehandi designs are Pakistani Arabic, Indian and African. Designs from these diverse regions can easily be differentiated. Here are some individual features that will help you in identifying the type of design.
Indian mehandi are the most popular designs are very diverse. They range from simple designs to complex. Simple designs have a big dot or a figure in back of hand or in the center of palm. Finger tips are also covered by henna. This design is very easy and can easily be mastered by armatures. After some practice this design will not take you more than a couple of minutes. Moving towards complex mehandi patterns we see highly detailed and fine designs. Such designs are sketched on important occasions like wedding, nikka etc. Such designs are hard to master and they can take hours just to finish one hands design. Mostly such mehandi designs are worn by Indian brides.
Compared with the complex Indian mehandi designs, Arabic designs are much simpler. Arabic designs mostly consist of leaves, veins, flowers etc. These designs are perfect candidate if you want to extend the design from hand to arm or from foot to leg. Another distinguishing feature of Arabic designs is that the shapes are not filled, they are just outlines. These designs also partially cover your hands or feet. These designs consume less amount of mehandi and are easily dried which means that you do not have to wait!
African Mehandi Designs are so nice and beautiful to see.These designs were really simple.
Pakistani mehandi designs are a merger of complex versions of Arabic and Indian mehandi designs. These designs are also much detailed and are worn by brides on mehandi, wedding. Even children wear simple version of these mehandi designs on Eid festival.
| BACK | APPOINTMENT |


{% extends "basic.html" %} {% block head_title %}{{ APP_NAME }} about{% endblock %} {% block body%}
oh! we'll definitely speakup something!! don't you worry.


When learning about cryptocurrency, rather than starting with what, it's easiest to start with why. So let's start with the following question:
How would you create a digital system where individuals could exchange cash?
You would need to:
- Support accounts, balances, and transactions
- Determine if a transaction is legitimate
- Prevent forgery and theft
For instance, your Bank is responsible for maintaining information about your accounts and transactions; while attempting to ensure that those transactions are secure and legitimate. It stores all of this information in a database that is the governing authority about the state of your account.
Wouldn't the same have to be true of a digital system for cash?
In the 90's there were a few people that created systems that did exactly that - but none of them were widely adopted. We can speculate about all the reasons why, but it's clear that at least part of the reason was the need for this centralized trusted third party to be accepted by all parties.
Could we eliminate the need for a trusted third party?
We'd have to create a system where each individual (or peer) was responsible for maintaining a list of all accounts and transactions in the system. Before 2008, it was widely believed that this sort of decentralized digital cash system was a pipe dream. How could you possibly ensure that all of the peers in the network correctly and quickly maintained accounts? How could transactions be secured if no one has the authority to approve transactions? How would you prevent double-spending? If even one peer was in disagreement about the smallest amount, the whole system would be invalid.
Enter: Satoshi Nakamoto.
Satoshi believed that not only was decentralization possible, it was critical to creating a digital cash system that would be fast, reliable, and widely adopted. He believed that this reliance on trusted third parties is why digital cash systems were failing and set out to solve the problem. So he created BitCoin, but how did he do the impossible?
The genius behind cryptocurrency is Blockchains.
We hear a lot about the currency or "coin" aspect of cryptocurrencies, but it's really blockchains that make distributed systems like Bitcoin possible. A blockchain is basically a digital ledger of transactions that can only be changed if you fulfill certain conditions. Blockchains are what allow each peer in the network to know the state of the entire system, and to trust that the information they have is correct and accurate. But that's only half the story, because without peer-to-peer networks, we'd have a solution for a distributed ledger but no way to distribute it.
Use Peer-to-Peer networks to distribute information.
That's right, Peer-to-Peer networks. You know ... the networks that people use for file sharing of music, movies, and software? By leveraging Peer-to-Peer networks peers can easily achieve consensus about accounts and transactions throughout the entire system every time a transaction occurs. And while every actor in the entire network has a complete history of all transactions, only certain actors on the network can confirm new transactions ensuring the ledger is maintained.
And thus, Miners are born.
Someone on the network needs to be responsible for taking transactions, approving them, and sharing them throughout the network; adding them to the blockchain. These peers are called miners. However, as anyone on the network can be a miner and because there is no authority on who can grant permission or prevent a miner from abusing their role, the system also needs some way to securely approve transactions where authority is inherent in the process rather than explicitly granted.
Cryptography to the rescue!
In order to confirm a transaction, a Miner must first preform a large mathematical operation that involves individual security keys provided as part of the transaction to find a hash. This hash or Proof-of-Work, is what grants the miner the ability to add the new block to the blockchain and confirm the transaction. So, Math and Cryptography - not a central authority - approve the transaction. As you can imagine, this calculation is not "free" and requires the peer to invest some amount of computer time. Additionally, as the system grows, the amount of power needed to do cryptographic calculation increases. So why would anyone on the network offer up their computer to be a Miner?
Pay them with Coins.
In the process of confirming a transaction, a Miner also has the right to add an additional transaction that generates a specific number of "coins" and grants them to the Miner. This is the only way cryptographic coins can be created. These coins have real value as they represent the time, energy, and work put in to confirming a transaction. These coins are what we refer to as cryptocurrency.
So now that you understand why cryptocurrencies were invented, we can go a bit deeper down the rabbit hole and talk about the flow of a transaction.


{%include "header.html" %}
Name: {{hotel.Name}}
Address: {{hotel.Address}}
City: {{hotel.City}}
State: {{hotel.State}}
Zip: {{hotel.Zip}}
Country: {{hotel.Country}}
Nightly rate: {{hotel.Price}}
Back to search


I have read some topics about calibration, and understand that the sketch needs to be altered in order to measure 3-phase systems.
One thing i do not understand is the following.
If i want to calibrate the voltage, cant i simply measure the voltage in my socket with at multimeter and add the appropriate multiple to calibrate in the emoncms when creating a feed?
If i want to calibrate CT. Cant i simply strap all three of them to a powerline, and add a known load (1kW for example) and just tune the values of the CTs in the emoncms? They should read 1000/voltage=current right? An they should all read the same number.
And if i want to calculate 3-phase power, cant i simply just add all three CTs into one feed, and multiply it by 1/3, and then multiply that with square root of 3, and multiply that with the feed for voltage that i allready calibrated.
Formula added here:
(U1+U2+U3)/3 X √3 X I = P
I understand that i cannot measure all the aspects of the 3phase power system with active / reactive power, phase angles or anything like that.
I understand that maybe this will not be the most correct way to measure, but since i dont understand why my method cannot be used i would be happy if someone can explain it to me.
Thanks for shining some light on this.
Re: Calibration and 3-phase calculations in emoncms?
I ignore power when calibrating voltage and current separately, only looking at power and VA (or power factor) when setting the phase correction.
If i want to calibrate the voltage, cant i simply measure the voltage in my socket with at multimeter and add the appropriate multiple to calibrate
in the emoncms when creating a feed?If i want to calibrate CT. Cant i simply strap all three of them to a powerline, and add a
knownload (1kW for example) and just tune the values of the CTsin the emoncms? They should read 1000/voltage=current right?An they should all read the same number.That is how I do it, except I use the serial monitor direct from the emonTx, and if needs be I add the rms current to the output. But I don't quite see how averaging the 3 phase voltages will help you, as the emonTx can only measure 1. If you've calibrated the voltage and current separately, all you need to do with the 3-phase sketch is the phase/timing correction.
The problem with using the claimed value of a load is that this value might or might not be accurate.
If you've only got emonCMS as the diagnostic display, then it does become harder. You can adjust the voltage with a calibration in emonCMS, and the power with a power calibration. But I would measure voltage and current to get the standard that you calibrate to, not the claimed load power.


Doris,2016,8,6,chapter12 #pythonexercise
2016,8,5
notes
- drng = random.Random(123) the results got by random generator every time are same.
- random chose: with replacement & without replacement
- time taken = {1:.4f} seconds)" .format(their_result, t3-t2)
- one-one mapping.
exercise
1.a，
Print the calendar for an entire year
1.b
import calendar
cal = calendar.TextCalendar()
cal.setfirstweekday(calendar.THURSDAY)
cal.pryear(2012)
1.c
import calendar
cal = calendar.TextCalendar()# Create an instance
cal.setfirstweekday(calendar.THURSDAY)
cal.prmonth(2012,7)
1.d
locale.Error: unsupported locale setting
1.e
a int of year number, Returns true if
year is a leap year, otherwise false.
2.a
48
2.b
math.ceil()
Return the ceiling of
x, the smallest integer greater than or equal to
x. If
x is not a float, delegates to x._ceil_, which should return an integral value.
math.floor()
Return the floor of
x, the largest integer less than or equal to
x. If
x is not a float, delegates to x._floor_, which should return an integral value.
2.c
make a**2 close to x
2.d
pi,e
3.
A
deep copy constructs a new compound object and then, recursively, inserts
copies into it of the objects found in the original.
deep copy also copy the relevant objects.
4.
#mymodule1
myage=16
year=2016
#mymodule2
myage=0
year=2000
import mymodule1
import mymodule2
print( (mymodule2.myage - mymodule1.myage) ==
(mymodule2.year - mymodule1.year) )
5.
#mymodule1
myage=16
year=2016
if __name__ == "__main__":
print("This won't run if I'm imported.")
#mymodule2
myage=0
year=2000
print("My name is", __name__)
import mymodule1
import mymodule2
print( (mymodule2.myage - mymodule1.myage) ==
(mymodule2.year - mymodule1.year) )
6.
Namespaces are one honking great idea -- let's do more of those!
7.
def myreplace(old,new,s):
return new.join(s.split(old))
print(myreplace('aaa','ccc','aaabbbccc'))
8.
def cleanword(s):
import string
for c in string.punctuation:
s= s.replace(c,'')
return s
def has_dashdash(s):
return '--'.join(s.split(' '))
def extract_words(s):
import string
for c in string.punctuation:
s= s.replace(c,' ')
a=s.lower()
return a.split()
def wordcount(a,s):
count=0
for i in s:
if i == a:
count+=1
return count
def wordset(s):
a=[]
for i in s:
if i not in a:
a.append(i)
return a
def longestword(s):
for i in s:
a = len(i)
for j in s:
b=len(j)
if a > b:
return a


---
layout: page
title: Contact Us
headline: Thinking Global, Acting Local
subheadline: Context is everything. StoryLab leverages the world’s
best technologies to amplify local expertise.
img:
---
Secretariat
Ideas Cartel, 113 Loop Street, Cape Town, South Africa
StoryLab Nairobi
Nairobi Garage, Pinetree Plaza 8th Floor, Kaburu Dr, Nairobi, Kenya
StoryLab Dar es Salaam
Mezzanine, No 6, Corner of India and Zanaki Street, Dar es Salaam, Tanzania
StoryLab Lagos
Civic Hub, 2nd floor, Adepate house, 42 montgomery road, Yaba, Lagos.
StoryLab Freetown
5 Foday Drive, Hill Station, Freetown, Sierra Leone
StoryLab Kampala
Outbox, 4th Floor, Soliz House, lumumba Avenue
What To Speak To Someone?
The StoryLab Academy is co-ordinated by Code for Africa’s
knowledge & engagement manager
Nana Nduati


Splats in Ruby can make your life easier. The first example of this is to use a splat (asterisk in Ruby) to pass in an entire list to a function. Keep in mind that in Ruby a list can be pretty much anything.
1 2 3 4 5 |
|
Splats in Ruby can make your life easier. The first example of this is to use a splat (asterisk in Ruby) to pass in an entire list to a function. Keep in mind that in Ruby a list can be pretty much anything.
1 2 3 4 5 |
|
I was notified a few days after the first two Amazon interviews that they wanted to have a third interview. They had to reschedule once due to a timing conflict but I had the third interview last Thursday (1/24). The agenda was the same as the other interviews and began with questions about a Rails project I’ve done recently. Next was some questions about binary search trees (glad I studied those). I was able to answer these questions and figured out the number of leaf nodes and total nodes in a complete BST of height h by writing out an example.
Today I had my phone interviews with Amazon for the Software Engineering Intern position in Seattle. This was my first “real” technical interview and consisted of two 45 minute sessions. Both interviewers were very nice and they didn’t waste any time getting to the technical questions. It began with simple OO questions such as:
How are abstract classes and interfaces different?
What are the differences between runtime exceptions and a checked exception?
When learning Ruby, there were a couple of features that really set it apart from other OO Languages (e.g. Java). The first of these features would have to be mixins. A mixin is a collection of related behaviors that can be added to any class, although in some cases the class may have to fulfill a contract to use the mixin [1]. Mixins are implemented in Ruby using Modules. A module is just a collection of class and instance methods that contain a framework for classes. It is important to note that a module itself is not a class. In other words, you can’t instantiate a module. At first this sounds a whole lot like interfaces in Java but there are a couple of differences. First, let’s look at an example of using a mixin:
1
|
|
Class A inherits from class B and class A also “mixes in” the module, MyModule. The mixin will literally inline all the instance and class methods defined in MyModule into class A so they will be available once class A is instantiated. Now how does this work with hierarchical inheritence in terms of priority? A method call on an intance of class A will: Check class A itself for the method, then check any modules that were mixed-in, and lastly the call will go to class A’s method_missing handler which by default, punts the call to the superclass which is class B in this scenario. Using mixins, the need for multiple inheritance is eliminated which allows for simpler code.
This blog is finally up and running - although it is far from where I want it! I used Octopress to generate the blog and it was really easy to configure using the provided YAML config files. Part of the reason I tried Octopress was to not code the HTML from scratch and it seems to be doing the job. It seems very similar to WordPress but I haven’t really used either extensively. Compared to web-based blogging alternatives like Tumblr, Octopress and Jekyll get a big +1 for letting me use Markdown and Sublime Text 2.


Trash
Player Animations
Trash Cans
Early Player Sketch
Early Player Sketch (Hat Version)
Dialogue Options
Inventory Box
Dialogue Box
NPCs (Animated)
Old Logo
Ground Spritesheet
Object Tiles
Rock
Trash Bag Stages
Wave Animations
Game Icon (Newer)


Photos
Jan 9, 2014
Recipes
Jan 17, 2014
Work
Jan 28, 2014
Vacation Itinerary
Jan 20, 2014
Kitchen Remodel
Jan 10, 2014
Grocery Shop
Jan 10, 2014
Weekend Pictures
Jan 10, 2014


Moesha proves that she has the biggest “Akosua Kuma” among all the ladies in Ghana in new pose
by Adu SarpeahIf what we see outside is equivalent to what’s inside Moesha’s skirt, then one won’t be far from right to postulate that Moesha has the biggest “Akosua Kuma” or better still camel toe among all the ladies in Ghana.
This is because Moesha Boduong has flaunted her camel toe on social media specifically Instagram for reasons best known to her and her followers especially the guys can’t keep quiet.
She captioned the photo with “Don’t compare me to someone else because there is no one else like me!”
Following the candid opinions expressed by her loyal followers, most of them were in shock as to whether the size of her camel toe as seen in her dress is real or not. Remember that there exists artificial camel toe designed outfit.
See post below and check out comments as well:


select a mass on the right, and then click anywhere on the left start placing a body. the line is the trajectory and speed, so click again to send it.
just double click for a stationary object.


Example 1
Example 2
Example 3
Example 4
Amazing Caption
Whatever It Is - Always Awesome
Amazing Caption
Whatever It Is - Always Awesome
Amazing Caption
Whatever It Is - Always Awesome
Amazing Caption
Whatever It Is - Always Awesome
Amazing Caption
Whatever It Is - Always Awesome
Amazing Caption
Whatever It Is - Always Awesome


---
notes: |
Inline help text is short, clear text positioned immediately next to the part of the page it relates to.
Use inline help text for help that’s relevant to the majority of users.
You should place inline help for form fields between the label and the field so sighted users and screenreaders can read it before they get to the field itself.
---


React IScroll Examples
Basic Scroll
Always Scroll
(scroller's height is smaller than wrapper's)
Dynamic Top
Dynamic Bottom
Scroller's Height Changes
Async Request & Pull Down to Refresh


findWS
returns a list of Spatial*
Objects cropped to an Area of Interest.
To better understand defining an AOI using 'state', 'county' and 'clip' see getAOI
and getClipUnit
.
Returned list
can be interactivly explored via explore
.
All outputs are projected to CRS '+proj=longlat +ellps=GRS80 +towgs84=0,0,0,0,0,0,0+no_defs'
and spatial watershed data are (down)loaded from the USGS Staged Data Server.
findHUC(AOI = NULL, level = 8, subbasins = FALSE, ids = FALSE)
| level | defines the HUC level of interest |
|---|---|
| subbasins | If TRUE, all subbasins of the supplied |
| ids | If TRUE, returns a list of HUC8 in AOI |
| state | Full name(s) or two character abbriviation(s). Not case senstive |
| county | County name(s). Requires |
| clip | SpatialObject* or list. For details see |
| save | If TRUE, data is written to a HydroData folder in users working directory. |
| HUC8 | option to supply known HUC8 code(s) |
findHUC
returns a named list of minimum length 1:
'huc_': A SpatialPolygonDataFrame*
for each requested HUC level defined by level
and subbasins
Pending parameterization, findWS
can also return:
'ids': A vector of HUC8 units if ids = TRUE
# NOT RUN { # Find all HUC8, 10 and 12 units surrounding the National Water Center ws = findWS(clip = list("National Water Center", 10 ,10), subbasins = T, level = 8) # Static Mapping plot(ws$basemap) plot(ws$boundary, add = T) plot(ws$huc_8, lwd = 3, add = T) plot(ws$huc_10, border = 'red', lwd = 2, add = T) plot(ws$huc_12, border = 'blue', add = T) # Generate Interactive Map explore(ws) # }


concat - Join lists together
concat ?arg arg ...?
This command joins each of its arguments together with spaces after
trimming leading and trailing white-space from each of them. If all the
arguments are lists, this has the same effect as concatenating them
into a single list.
It permits any number of arguments;
if no args are supplied, the result is an empty string.
Although concat will concatenate lists, flattening them in the process
(so giving the following interactive session):
% concat a b {c d e} {f {g h}}
a b c d e f {g h}
it will also concatenate things that are not lists, as can be seen from this
session:
% concat " a b {c " d " e} f"
a b {c d e} f
Note also that the concatenation does not remove spaces from the middle of
values, as can be seen here:
% concat "a b c" { d e f }
a b c d e f
(i.e., there are three spaces between each of the a, the b and the
c).
append, eval, join
concatenate, join, lists
Copyright © 1995-1997 Roger E. Critchlow Jr.
Copyright © 1993 The Regents of the University of California.
Copyright © 1994-1996 Sun Microsystems, Inc.


| 1 | /* | |
| 2 | * Copyright 2015 Google Inc. | |
| 3 | * | |
| 4 | * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except | |
| 5 | * in compliance with the License. You may obtain a copy of the License at | |
| 6 | * | |
| 7 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 8 | * | |
| 9 | * Unless required by applicable law or agreed to in writing, software distributed under the License | |
| 10 | * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express | |
| 11 | * or implied. See the License for the specific language governing permissions and limitations under | |
| 12 | * the License. | |
| 13 | */ | |
| 14 | ||
| 15 | package com.google.googlejavaformat; | |
| 16 | ||
| 17 | import static com.google.common.base.Preconditions.checkArgument; | |
| 18 | import static com.google.common.base.Preconditions.checkNotNull; | |
| 19 | ||
| 20 | /** An error that prevented formatting from succeeding. */ | |
| 21 | public class FormatterDiagnostic { | |
| 22 | private final int lineNumber; | |
| 23 | private final String message; | |
| 24 | private final int column; | |
| 25 | ||
| 26 | public static FormatterDiagnostic create(String message) { | |
| 27 |
1
1. create : mutated return of Object value for com/google/googlejavaformat/FormatterDiagnostic::create to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return new FormatterDiagnostic(-1, -1, message); |
| 28 | } | |
| 29 | ||
| 30 | public static FormatterDiagnostic create(int lineNumber, int column, String message) { | |
| 31 |
3
1. create : changed conditional boundary → SURVIVED 2. create : removed call to com/google/common/base/Preconditions::checkArgument → SURVIVED 3. create : negated conditional → KILLED |
checkArgument(lineNumber >= 0); |
| 32 |
3
1. create : changed conditional boundary → SURVIVED 2. create : removed call to com/google/common/base/Preconditions::checkArgument → SURVIVED 3. create : negated conditional → KILLED |
checkArgument(column >= 0); |
| 33 | checkNotNull(message); | |
| 34 |
1
1. create : mutated return of Object value for com/google/googlejavaformat/FormatterDiagnostic::create to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return new FormatterDiagnostic(lineNumber, column, message); |
| 35 | } | |
| 36 | ||
| 37 | private FormatterDiagnostic(int lineNumber, int column, String message) { | |
| 38 | this.lineNumber = lineNumber; | |
| 39 | this.column = column; | |
| 40 | this.message = message; | |
| 41 | } | |
| 42 | ||
| 43 | /** | |
| 44 | * Returns the line number on which the error occurred, or {@code -1} if the error does not have a | |
| 45 | * line number. | |
| 46 | */ | |
| 47 | public int line() { | |
| 48 |
1
1. line : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return lineNumber; |
| 49 | } | |
| 50 | ||
| 51 | /** | |
| 52 | * Returns the 0-indexed column number on which the error occurred, or {@code -1} if the error | |
| 53 | * does not have a column. | |
| 54 | */ | |
| 55 | public int column() { | |
| 56 |
1
1. column : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return column; |
| 57 | } | |
| 58 | ||
| 59 | /** Returns a description of the problem that prevented formatting from succeeding. */ | |
| 60 | public String message() { | |
| 61 |
1
1. message : mutated return of Object value for com/google/googlejavaformat/FormatterDiagnostic::message to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return message; |
| 62 | } | |
| 63 | ||
| 64 | public String toString() { | |
| 65 | StringBuilder sb = new StringBuilder(); | |
| 66 |
2
1. toString : changed conditional boundary → SURVIVED 2. toString : negated conditional → KILLED |
if (lineNumber >= 0) { |
| 67 | sb.append(lineNumber).append(':'); | |
| 68 | } | |
| 69 |
2
1. toString : changed conditional boundary → SURVIVED 2. toString : negated conditional → KILLED |
if (column >= 0) { |
| 70 | // internal column numbers are 0-based, but diagnostics use 1-based indexing by convention | |
| 71 |
1
1. toString : Replaced integer addition with subtraction → KILLED |
sb.append(column + 1).append(':'); |
| 72 | } | |
| 73 |
4
1. toString : changed conditional boundary → SURVIVED 2. toString : changed conditional boundary → SURVIVED 3. toString : negated conditional → KILLED 4. toString : negated conditional → KILLED |
if (lineNumber >= 0 || column >= 0) { |
| 74 | sb.append(' '); | |
| 75 | } | |
| 76 | sb.append("error: ").append(message); | |
| 77 |
1
1. toString : mutated return of Object value for com/google/googlejavaformat/FormatterDiagnostic::toString to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return sb.toString(); |
| 78 | } | |
| 79 | } | |
Mutations | ||
| 27 |
1.1 |
|
| 31 |
1.1 2.2 3.3 |
|
| 32 |
1.1 2.2 3.3 |
|
| 34 |
1.1 |
|
| 48 |
1.1 |
|
| 56 |
1.1 |
|
| 61 |
1.1 |
|
| 66 |
1.1 2.2 |
|
| 69 |
1.1 2.2 |
|
| 71 |
1.1 |
|
| 73 |
1.1 2.2 3.3 4.4 |
|
| 77 |
1.1 |


About this project¶
Infostop is a minimal and fast tool for performing network clustering on spacial data, and in particular it is well suited for detecting stop locations, or points of interest, in GPS data.
Quick example¶
For unlabeled GPS trace data:
>>> import infostop
>>> import numpy as np
>>> data
array([[ 55.75259295, 12.34353885 ],
[ 55.7525908 , 12.34353145 ],
[ 55.7525876 , 12.3435386 ],
...,
[ 63.40379175, 10.40477095 ],
[ 63.4037841 , 10.40480265 ],
[ 63.403787 , 10.4047871 ]])
>>> labels = infostop.label_trace(data)
>>> np.hstack([data, labels.reshape(-1, 1)])
array([[ 55.75259295, 12.34353885, 0. ],
[ 55.7525908 , 12.34353145, 0. ],
[ 55.7525876 , 12.3435386 , 1-. ],
...,
[ 63.40379175, 10.40477095, 164. ],
[ 63.4037841 , 10.40480265, 164. ],
[ 63.403787 , 10.4047871 , 164. ]])
The coordinates can now be plotted onto a map, colored by the assigned labels:
Why should I use Infostop¶
Pros¶
- Quick Python based API for finding important places in your GPS data
- Installable with pip, no compiling needed
- No external program needed
- Cross-platform
- More meaningful clustering solutions than DBSCAN (or similar) based methods
Cons¶
- Not as fast as DBSCAN based methods (although still relatively fast)
- No plotting options yet
Install¶
pip install infostop
Make sure to read the README.md
in the public repository for notes on dependencies and installation.
infostop
depends on the following packages which will be
installed by pip
during the installation process
numpy>=0.14
infomap>=3.0.12
Bug reports & contributing¶
You can contribute to the public repository and raise issues there.


Dagre D3 Demo: Tooltip on Hover
The TCP state diagram (
source: RFC 793
) with hover support. Uses
tipsy JS and CSS
for the tooltip.


There are many variations of passages of Lorem Ipsum available, but the majority have suffered
There are many variations of passages of Lorem Ipsum available, but the majority have suffered
There are many variations of passages of Lorem Ipsum available, but the majority have suffered
There are many variations of passages of Lorem Ipsum available, but the majority have suffered
There are many variations of passages of Lorem Ipsum available, but the majority have suffered
There are many variations of passages of Lorem Ipsum available, but the majority have suffered
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
Read MoreLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
Read MoreLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
Read MoreLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
Read MoreLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
Read MoreLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
Read MoreLorem, ipsum dolor sit amet consectetur adipisicing elit. Minus, dicta atque. Voluptas illum quasi asperiores autem unde cupiditate temporibus quisquam iste rem dignissimos. Commodi placeat, quis omnis inventore asperiores sit.
Lorem, ipsum dolor sit amet consectetur adipisicing elit. Minus, dicta atque. Voluptas illum quasi asperiores autem unde cupiditate temporibus quisquam iste rem dignissimos. Commodi placeat, quis omnis inventore asperiores sit.
Lorem, ipsum dolor sit amet consectetur adipisicing elit. Minus, dicta atque. Voluptas illum quasi asperiores autem unde cupiditate temporibus quisquam iste rem dignissimos. Commodi placeat, quis omnis inventore asperiores sit.


This interactive graphic is by the 2014 Code for America Fellows in Denver. The data represented is taken from open data provided by the City and County of Denver.
You can find more open data at http://data.denvergov.org.


--- title: Notes on writing an R package author: Yang Liu date: '2019-07-28' slug: some-experience-on-writing-r-package categories: - R package tags: [] output: blogdown::html_page: toc: true ---
Although ‘SHAPforxgboost’ is not a package too complicated, it took me some time to get the package pass all the cran check. Now (Aug.03,2019) it is available on cran. Install by either
install.packages("SHAPforxgboost")
or
devtools::install_github("liuyanguu/SHAPforxgboost")
The most recent version is 0.0.2.
I used ‘usethis’ package https://usethis.r-lib.org/ to set up the structure of the package.
Lots of thanks to Dr. Ligges and Dr. Herbrandt for their kind advice.
In the description, write package names, software names and API names in single quotes (e.g. ‘Python’). The Title field should be in title case. The description should not start with package name or “This package”.
Please ensure that you do not use more than 2 cores in your examples.
Is there any reason why the number of core to use is not an argument of
e.g. xgboost.fit()
? >>> (# The function was for my own convenience, actually it is not necessary to be included in the package. I removed that function.)
Please replace cat()
by message()
or warning()
in your functions (except
for print()
and summary()
functions). Messages and warnings can be
suppressed if needed.
Single quote packages in both Title and Description fields. For example: “This package uses the SHAP values output from ‘xgboost’”.
It would be unnecessary to add any Depends in the DESCRIPTION besides R (>= 3.3.0)
.
The Imports part in the DESCRIPTION won’t impact what you import into NAMESPACE in the code (although they are both named import). The NAMESPACE is defined by using @import
to import packages and functions in the R code. What you import into NAMESPACE are what really matters. But you should also keep the record aligned in the DESCRIPTION as cran will check it.
How the DESCRIPTION looks like on cran:
If you have @import ggplot2
anywhere in the R code. Your function can use ggplot2 as long as your package is loaded. Your function knows to search in the namespace of “ggplot2::
”, but the ggplot2 package is not attached. Although someone loads your package, he needs library(ggplot2)
in order to use ggplot2 for himself. This is the difference between attach and load as discussed in Hadley’s “R” package book.
By the way, if you put ggplot2
in Depends in the DESCRIPTION, library(yourPackage)
would really attach ggplot2
. But generally speaking, you don’t have to do that for others.
If you name a function like plot.shap.summary
it would be documented as S3 method even if you @export plot.shap.summary
(Yes, you have to export the full function name, otherwise, it would be an S3 method in the namespace.). Don’t name function this way to avoid confusion with S3method. For example, I changed the name to shap.plot.summary
.
Each dataset that you attached using use_data
need a document as well. Document it in a way similar to the function.
All the function parameters should be documented using @param
.
When devtools check the program, there will be notes that “no visible binding for global variable”. This is how to please the cran:
if(getRversion() >= "2.15.1") {
utils::globalVariables(c(".", "rfvalue", "value", ... )) # all the variables complained
}
"\n"
in the documentation. It will give a warning of “unknown macro”, and will actually cause error when you try to download and build the package from github.All the codes go into the R/ folder
@example R/example/sample1.R
will attach sample1.R in the folder “R/example/” to the documentation of the function. If you write out the samples directly in the function code, you use @examples instead of @example.


6.1. General Trees (optional) (WORK IN PROGRESS)¶
6.1.1. General Trees¶
Many organizations are hierarchical in nature, such as the military and most businesses. Consider a company with a president and some number of vice presidents who report to the president. Each vice president has some number of direct subordinates, and so on. If we wanted to model this company with a data structure, it would be natural to think of the president in the root node of a tree, the vice presidents at level 1, and their subordinates at lower levels in the tree as we go down the organizational hierarchy.
Because the number of vice presidents is likely to be more than two, this company’s organization cannot easily be represented by a binary tree. We need instead to use a tree whose nodes have an arbitrary number of children. Unfortunately, when we permit trees to have nodes with an arbitrary number of children, they become much harder to implement than binary trees. We consider such trees in this chapter. To distinguish them from binary trees, we use the term general tree.
In this module we will examine general tree terminology and define a basic ADT for general trees.
<IP_ADDRESS>. General Tree Definitions and Terminology¶
A tree \(\mathbf{T}\) is a finite set of one or more nodes such that there is one designated node \(R\), called the root of \(\mathbf{T}\). If the set \((\mathbf{T} -\{R\})\) is not empty, these nodes are partitioned into \(n > 0\) disjoint sets \(\mathbf{T}_0\), \(\mathbf{T}_1\), …, \(\mathbf{T}_{n-1}\), each of which is a tree, and whose roots \(R_1, R_2, ..., R_n\), respectively, are children of \(R\). The subsets \(\mathbf{T}_i (0 \leq i < n)\) are said to be subtrees of \(\mathbf{T}\). These subtrees are ordered in that \(\mathbf{T}_i\) is said to come before \(\mathbf{T}_j\) if \(i < j\). By convention, the subtrees are arranged from left to right with subtree \(\mathbf{T}_0\) called the leftmost child of \(R\). A node’s out degree is the number of children for that node. A forest is a collection of one or more trees. Figure 6.2.1 presents further tree notation generalized from the notation for binary trees.
Each node in a tree has precisely one parent, except for the root, which has no parent. From this observation, it immediately follows that a tree with \(n\) nodes must have \(n-1\) edges because each node, aside from the root, has one edge connecting that node to its parent.
<IP_ADDRESS>. An ADT for General Tree Nodes¶
Before discussing general tree implementations, we should first make precise what operations such implementations must support. Any implementation must be able to initialize a tree. Given a tree, we need access to the root of that tree. There must be some way to access the children of a node. In the case of the ADT for binary tree nodes, this was done by providing member functions that give explicit access to the left and right child pointers. Unfortunately, because we do not know in advance how many children a given node will have in the general tree, we cannot give explicit functions to access each child. An alternative must be found that works for an unknown number of children.
One choice would be to provide a function that takes as its parameter the index for the desired child. That combined with a function that returns the number of children for a given node would support the ability to access any node or process all children of a node. Unfortunately, this view of access tends to bias the choice for node implementations in favor of an array-based approach, because these functions favor random access to a list of children. In practice, an implementation based on a linked list is often preferred.
An alternative is to provide access to the first (or leftmost) child
of a node, and to provide access to the next (or right) sibling of a
node.
Here are the class declarations for general trees and
their nodes.
Based on these two access functions, the children of a node can be
traversed like a list.
Trying to find the next sibling of the rightmost sibling would return
null
.
// General tree node ADT
public interface GTNode {
public Object value();
public boolean isLeaf();
public GTNode parent();
public GTNode leftmostChild();
public GTNode rightSibling();
public void setValue(Object value);
public void setParent(GTNode par);
public void insertFirst(GTNode n);
public void insertNext(GTNode n);
public void removeFirst();
public void removeNext();
}
// General tree ADT
public interface GenTree {
public void clear(); // Clear the tree
public GTNode root(); // Return the root
// Make the tree have a new root, give first child and sib
public void newroot(Object value, GTNode first, GTNode sib);
public void newleftchild(E value); // Add left child
}
# General tree node ADT
class GTNode:
def value(self): raise NotImplementedError
def isLeaf(self): raise NotImplementedError
def parent(self): raise NotImplementedError
def leftmostChild(self): raise NotImplementedError
def rightSibling(self): raise NotImplementedError
def setValue(self, value): raise NotImplementedError
def setParent(self, par): raise NotImplementedError
def insertFirst(self, n): raise NotImplementedError
def insertNext(self, n): raise NotImplementedError
def removeFirst(self): raise NotImplementedError
def removeNext(self): raise NotImplementedError
# General tree ADT
class GenTree:
def clear(self): raise NotImplementedError
def root(self): raise NotImplementedError
def newroot(self, value, first, sib): raise NotImplementedError
def newleftchild(self, value): raise NotImplementedError
}
<IP_ADDRESS>. General Tree Traversals¶
There are three traditional tree traversals for binary trees: preorder, postorder, and inorder. For general trees, preorder and postorder traversals are defined with meanings similar to their binary tree counterparts. Preorder traversal of a general tree first visits the root of the tree, then performs a preorder traversal of each subtree from left to right. A postorder traversal of a general tree performs a postorder traversal of the root’s subtrees from left to right, then visits the root. Inorder traversal does not have a natural definition for the general tree, because there is no particular number of children for an internal node. An arbitrary definition—such as visit the leftmost subtree in inorder, then the root, then visit the remaining subtrees in inorder—can be invented. However, inorder traversals are generally not useful with general trees.
To perform a preorder traversal, it is necessary to visit each of the children for a given node (say \(R\)) from left to right. This is accomplished by starting at R’s leftmost child (call it \(T\)). From \(T\), we can move to \(T\)’s right sibling, and then to that node’s right sibling, and so on.
Using the General Tree ADT shown above, here is an
implementation to print the nodes of a general tree in
preorder.
Note the while loop at the end, which processes the list of
children by beginning with the leftmost child, then repeatedly moving
to the next child until calling next
returns null
.
// Preorder traversal for general trees
static void preorder(GTNode rt) {
PrintNode(rt);
if (!rt.isLeaf()) {
GTNode temp = rt.leftmostChild();
while (temp != null) {
preorder(temp);
temp = temp.rightSibling();
}
}
}
# Preorder traversal for general trees
def preorder(rt):
PrintNode(rt)
if not rt.isLeaf():
temp = rt.leftmostChild()
while temp is not None
preorder(temp)
temp = temp.rightSibling()


One Spirit Yoga is dedicated to providing our 300,000+ members with a diverse array of exclusive multimedia content for yoga, meditation, and mindful living. Yoga students, teachers, and aspiring teachers can expand their knowledge and deepen their practices with our classes, courses, and articles. Members can access their accounts on any device including phones, tablets, and TVs using Yoga International’s mobile and TV apps. One Spirit Yoga offers classes for all levels and brings together 500+ expert teachers who specialize in a variety of styles and focuses including yoga therapy, anatomy, ayurveda, meditation, vinyasa, yin, restorative, and more. With over 1,000 classes ranging from 15 to 120 minutes to choose from, you can always find a practice that matches your intention for your day. We believe that yoga is for everyone. We are devoted to serving all of our members and strive to promote inclusivity in the work that we do.


fprime_gds.wxgui.src.GDSCommandPanelImpl
¶
Module Contents¶
Classes¶
|
Implementation file for the Command Panel GUI element |
-
class
fprime_gds.wxgui.src.GDSCommandPanelImpl.
CommandsImpl
(parent, cname_dict, config=None)[source]¶ Bases:
fprime_gds.wxgui.src.GDSCommandPanelGUI.Commands
Implementation file for the Command Panel GUI element
-
register_encoder
(self, enc)[source]¶ Register an encoder object to this object. Encoder must implement data_callback(data)
- Parameters
{Encoder} -- The encoder to register (enc) –
-
updateCmdSearchPool
(self)[source]¶ Updates the list of commands we are searching for in the command history
-
setupCommandArguments
(self, temp)[source]¶ Render the command argument gui elements to the screen based on selected command
- Parameters
{CmdTemplate} -- template object for the given command (temp) –
-
onCmdsComboBoxSelect
(self, event)[source]¶ Set up the argument GUI elements for the command with the selected mneumonic
-
onCmdSendButtonClick
(self, event)[source]¶ Gathers entered command arguments and sends them to all encoders
-
onTextCmdComboBox
(self, event)[source]¶ This the start of the autocomplete for the cmd combo box - finish if you want that feature and reach out to me if you want explanation<EMAIL_ADDRESS># Get current text in cbox text = self.CmdsComboBox.Value print text
# Get current cursor position in cbox cpos = self.CmdsComboBox.GetInsertionPoint() + 1 print cpos
# Generate search term by ignoring everything after the insertion point search_term = text[:cpos] print search_term
# Generate new cycler idxs = [i for i, v in enumerate(self.cname_dict.keys()) if v.startswith(search_term)] print(idxs) self._cmd_complete_search_pool = cycle(idxs)
# Get first member in cycle idx = next(self._cmd_complete_search_pool)
# Get the entry from cmd cbox that corresponds to this idx new_txt = self.CmdsComboBox.GetString(idx)
# Set the cbox text to the new string self.CmdsComboBox.Value = new_txt
# Set the insertion point and highlighting self.CmdsComboBox.SetInsertionPoint(cpos) self.CmdsComboBox.SetTextSelection(cpos, len(new_txt))
-
Build: 1.4.1


| betar {mgcv} | R Documentation |
Family for use with gam
or bam
, implementing regression for beta distributed data on (0,1).
A linear predictor controls the mean, mu of the beta distribution, while the variance is then
mu(1-mu)/(1+phi), with parameter phi being estimated during
fitting, alongside the smoothing parameters.
betar(theta = NULL, link = "logit",eps=.Machine$double.eps*100)
theta |
the extra parameter (phi above). |
link |
The link function: one of |
eps |
the response variable will be truncated to the interval |
These models are useful for proportions data which can not be modelled as binomial. Note the assumption that data are in
(0,1), despite the fact that for some parameter values 0 and 1 are perfectly legitimate observations. The restriction is needed to
keep the log likelihood bounded for all parameter values. Any data exactly at 0 or 1 are reset to be just above 0 or just below 1 using the eps
argument (in fact any observation <eps
is reset to eps
and any observation >1-eps
is reset to 1-eps
). Note the effect of this resetting. If mu*phi>1 then impossible 0s are replaced with highly improbable eps
values. If the inequality is reversed then 0s with infinite probability density are replaced with eps
values having high finite probability density. The equivalent condition for 1s is (1-mu)*phi>1. Clearly all types of resetting are somewhat unsatisfactory, and care is needed if data contain 0s or 1s (often it makes sense to manually reset the 0s and 1s in a manner that somehow reflects the sampling setup).
An object of class extended.family
.
Do read the details section if your data contain 0s and or 1s.
Natalya Pya<EMAIL_ADDRESS>and Simon Wood<EMAIL_ADDRESS>library(mgcv) ## Simulate some beta data... set.seed(3);n<-400 dat <- gamSim(1,n=n) mu <- binomial()$linkinv(dat$f/4-2) phi <- .5 a <- mu*phi;b <- phi - a; dat$y <- rbeta(n,a,b) bm <- gam(y~s(x0)+s(x1)+s(x2)+s(x3),family=betar(link="logit"),data=dat) bm plot(bm,pages=1)


--- layout: page title: Downloads icon: fa-download permalink: /download/ ---
The prefered way to download NUnit is through NuGet package manager.
NUnit Xamarin Runners are also available through NuGet or from GitHub.
The latest releases of NUnit 3.0 can always be found on the GitHub releases pages.
| MSI | NUnit.3.0.1.msi |
| Bin | NUnit-3.0.1.zip |
| Src | NUnit-3.0.1-src.zip |
| SL 5.0 | NUnitSL-3.0.1.zip |
| CF 3.5 | NUnitCF-3.0.1.zip |
| MSI | NUnit-2.6.4.msi |
| Bin | NUnit-2.6.4.zip |
| Src | 2.6.4.zip |
| MSI .Net 1.1 | NUnit-2.6.4-net-1.1.msi |
| Zip .Net 1.1 | NUnit-2.6.4-net-1.1.zip |
| Docs | NUnit-2.6.4-docs.zip |


Hi.
At this moment i will show you how we can explore the vulnerability of Dynamic Loader on Linux.
Dynamically linked libraries are very important to a operational system, and on Linux that is very important too. They allow many others programs to dynamically access external functionality. But, like uncle Ben says "with great power there must also come great responsibility". When we use dynamically linked libraries we can know that they can be overridden on run-time.
Basically, in Linux we have two ways to use a shared code on ours projects:
Over the years we learn that do dynamic loading is more efficiently because they let us to make a good management of the space in ours programs and in ours servers.
For this article we will see only the Dynamic load strategy. This method allow us inject malicious code in a target application. But, there is not only for this propose that this knowledge can be used. I use this method to performs reverse engineer, when i need analyze the behavior of one application that i don't have the source code.
Let see this sample:
On this application we have a method to print a menu with 3 options, and they wait a interaction from the user and finally returns the selected option.
In the next method, we will validate a username and password informed by the user.
And finally the main method:
In the next picture we can see this application be executed:
Here we show you a simple steps to use this application.
When we start the application, this show a console menu, and wait a interation with the user, if the user select option between 1 and 3 the application will start a user validation, if choose 0 the application will be finished.
How you can see, in the address 0x0000000000400717 we have made a call to <strncmp@plt> :) That’s all we need for now.
So, if you look at the string header and search for “strncmp” signature you'll see this:
With this information, all do we have to do, is create a library with this method, with the same signature, but with some more ingredients :D
To compile this library we need use this command:
$ cc -fPIC -shared -o sec_crack.so sec_crack.c
Now, we only need inject into the LD_PRELOAD variable and start the application target:
$ LD_PRELOAD=./sec_crack.so ./sec
And finally we will compromise the password protection on the program:
Well, after we user our “not so secret” password crack we can get full access to the target program.
Thanks.


Importing catalog data¶
Using AXS without real catalog data is probably good for testing purposes, but you will probably want to load into AXS some real astronomical measurements from catalogs such as SDSS or Gaia. There are several ways how to load data into AXS. The goal here is to have your AXS catalog aware of where the data resides. AXS data is physically stored in Parquet files (as was described in the introduction, and the information about them is stored in the AXS “metastore”.
AXS metastore relies on, and extends, Spark’s metastore. By default, Spark (and AXS) will store metastore data (information about tables, their physical location, bucketing information, and so on) in a Derby database, created in a folder called metastore_db in your working folder. You can also specify a different database to be used as a metastore by placing a hive-site.xml file, containing the required configuration, in the conf sub-directory of your AXS installation folder. AXS installation contains an example of this file for connecting to a MariaDB.
So, the goal is to have catalog data properly partitioned in Parquet files, on a local or a distributed file system, and information about the table data registered in the Spark metastore. Additionally, AXS also needs to register the table data in its own configuration tables.
There are three ways you can accomplish this:
- importing data from downloaded Parquet files
- importing data already registered in Spark metastore
- importing new data from scratch
Importing data from Parquet files¶
You can download catalog data as pre-partitioned AXS Parquet files. After placing the files in a folder (for example /data/axs/sdss), load the files into AXS metastore by calling AxsCatalog’s import_existing_table method:
from axs import AxsCatalog, Constants
db = AxsCatalog(spark)
db.import_existing_table('sdss_table', '/data/axs/sdss', num_buckets=500, zone_height=Constants.ONE_AMIN,
import_into_spark=True)
This will register the files from the /data/axs/sdss folder as a new table (visible both from Spark and AXS) called sdss_table and tell Spark that the files are bucketed by the zone column into 500 buckets and that the data within the buckets is sorted by zone and ra columns. When using this method it is assumed that there is no table with the same name in the metastore and that the Parquet files are indeed bucketed as described.
Importing a table from a Spark metastore¶
If you have a properly bucketed and AXS-readable table already registered in the Spark metastore as a Spark table, you can use the same AxsCatalog method with different parameters to register the table in AXS metastore:
db.import_existing_table('sdss_table', '', num_buckets=500, zone_height=Constants.ONE_AMIN,
import_into_spark=False, update_spark_bucketing=True)
The path argument is not used in this case because the path is known for an existing Spark table. The difference is the value of import_into_spark parameter, which is now set to False. You can set update_spark_bucketing to False if you know that Spark is aware of table’s bucketing. If a properly bucketed Parquet file was imported into Spark using Spark API, the bucketing information will not be available, so you will probably want to set update_spark_bucketing to True.
Importing new data from scratch¶
Finally, you can also import new data into AXS and specify it as a Spark DataFrame. You use AxsCatalog’s save_axs_table method for that, which looks like this:
def save_axs_table(self, df, tblname, repartition=True, calculate_zone=False,
num_buckets=Constants.NUM_BUCKETS, zone_height=ZONE_HEIGHT):
As a bare minimum, you need to provide a Spark DataFrame (variable df), containing at least ra and dec columns, and the desired table name. You would typically obtain the DataFrame by loading and parsing data from external files (e.g. FITS or HDF5 files). If the data is already correctly partitioned (in Spark partitions), set repartition to False. If the zone column is already present in the input DataFrame, set calculate_zone to False. Finally, it is best to leave the defaults for the number of buckets and zone height, but you can also override the defaults.


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{% extends "cloudedbats_base.html" %} {% load static %} {% block title %} CloudedBats - Introduction {% endblock title %} {% block content-left-area %} {% endblock content-left-area %} {% block content-alerts %} {% endblock content-alerts %} {% block content %}
Welcome to CloudedBats.
CloudedBats is a free and open software project for bat monitoring. The basic set up for a CloudedBats system is a web application, and a number of connected recording units that capture ultrasonic bat sound.
Software for a stand-alone version of the recording unit was developed during 2016. Now it's 2017 and time to develop the web application.
The web application should have functionality for:
Additions planned for the recording unit:
This web site (http://test.cloudedbats.org) should be used for development and test. Parts ready for test:
More info at: cloudedbats.org


FILM TITLE: GERONIMO DIRECTOR: WALTER HILL COUNTRY: USA 1993 CINEMATOGRAPHY: Lloyd Ahern MUSIC: Ry Cooder CAST: Jason Patric, Wes Studi, Robert Duvall, Gene Hackman, Rodney A. Grant STORY: And screenplay by John Milius with Larry Gross SUPER FEATURES: The scenery and Wes Studi.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
The sad part of this film, like most of those about the native Americans in this country, is that they look so hopeless, and their fervor for life gets taken out of them. Few of them accept that they still have their spirit, even if they are finally the caged beasts. At least they didn't suffer as many indignities as the blacks did for many years before, and during, that time.
Geronimo, is well known in the schools of military strategy, because he was able to escape for fifteen years, despite being chased by two armies for a long period of time. And it took, what might be considered a small act of treason to bring him in, on his own terms, which were fake, and non existent.
The complicated story of Geronimo starts when the American cavalry was trying to place many of the native populations in areas, which were to be called reservations ( and still are ), just to separate them from the white man settler, and imperial owner. The army's job is to uphold the government of the white man, for the white man, not for the native who is considered the abuser, and the outlaw, and in the case of this Geronimo, a rebel in every sense.
Despite the ruthlessness of the upper brass at the military, there are some individuals that retained a certain amount of dignity and human decency, who didn't take the chase of the natives as a victory for mankind. And in due time they are ( Gene Hackman in a fine role ) retired for people who 'can get the job done' . And now the full army is after Geronimo, who may be at any time either in Mexico, or in Arizona somewhere. Eventually, the army fails in its chase, and has to resort to the means which were used before to meet Geronimo, which was a guide who had spiritual tendencies, and had enough care for the life of a native, as a human. Jason Patrick sets out one final time to tell Geronimo of the deal which the army has in mind, much to the chagrin of the general who is embarrassed that several thousand men can not find a warrior, but one man can.
The film is well written, albeit very much in a film fashion, rather than a 'natural' story, still from the point of view of the white man, rather than the native warrior. We get glimpses into the mind and spirit of the native Geronimo, and his people, but they are mere flashes in the pan. One could spend much more time, EASILY, describing how Geronimo, a true medicine man, could keep away from danger, or the army.... he used his trade and tools of the spirit. The army only used ideas. It isn't the same thing.
The tiring part of the film is not the story, which is very good, or the acting which is nice, and contrasting in styles. It is the brown tone of the film, reminiscent of the old photographs whose fixer has faded and has turned the picture yellow ( the bleach fix is red, and it turns yellow when weak ), and the film does almost all of its work in this tone, even using the famous photographs taken of Geronimo and the army as a backdrop to its own scenery.
While this may be 'old' thinking on our part, or a distant 'memory' the film is just that. Probably the part which the native American is not very proud of anyway. To their credit, much of the native language is used, and not sub titled.
It is a nice film, though a bit brutal in parts.
3 GIBLOONS Member of the Internet Movie Critics Association Copyright (c) Pedro Sena 1994
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This sample displays a Neighbour Joining (NJ) tree with 1211 leaf nodes. The NJ tree is encoded in the Newick format and can be downloaded here. The meta-information are provided as an associated array where the key equals the node name in the newick tree.
Add custom They just have to provide a tree in newick format and the metainformation as a csv or associative array


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phpPgAdmin 5.0.2 in Debian unstable !
Today, Christoph Berg has uploaded a new version of the phpPgAdmin package to the Debian unstable branch. This package is based on the latest version of phpPgAdmin: 5.0.2.
This story starts around another beer during the PGCon2011. I was talking with Dimitri Fontaine about the status of the PostgreSQL’s Debian repository driven by our community. I explained him how bad was the situation about phpPgAdmin’s package that was stuck at the 4.2.3 version for all debian like distributions. Because of that, we received a bunch of bug reports, comments and mails about things we already fixed in new versions.
As Dimitri is working with Christoph on the PostgreSQL Debian repo, he gave me his email address telling me that, as an official Debian developer, he could probably help me. After some discussion about me becoming the official package maintainer, it seems Christophe finally did the package pretty quickly and added himself as co-maintainer of the project.
In conclusion, I’m glad to see a new package maintainer for our PPA package and I’ll do my best to help him on this purpose. Thank you to Christoph and Dimitri!
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