NLP is the subdomain of artificial intelligence concerned with the “word”, ranging from voice input through to speech output.
All of it is deeply hard research stuff and the core is a focus on text words, ranging from sentences to paragraphs to documents. The analysis of the word ranges from determining frequencies of word use and collocations of words (e.g., for document content classification, document similarity comparison, and sentiment analysis) to pattern matching, word stemming, and part-of-speech tagging and parsing (for trying to access part of the meaning of text for information retrieval systems, machine summarization, machine translation, and natural language command and control over programs and devices). Keyword search (e.g., Google or Amazon) is a simplified use of NLP which does not involve meaning to find information or products.
Given its historical research component, it has been primarily developed by academics for academics. Major NLP tools have been written in LISP, Java, C++, Python, and Perl and run on either Windows or Linux (Mac is a Linux) or both. There are rarely any performance requirements in cpu time or memory and they don’t run on mobile devices. The only area of NLP that actually has real-time requirements and are primarily engineered by the business world are chatbots, which either answer questions (e.g. Siri) or converse on either their own life story (entertainment) or on corporate information (customer help agents). They need to reply within seconds of the user’s input.
Video games are a completely unrelated industry. The traditional AAA game takes several years to develop using a team of 40 people and costs millions to make. Game development has to manage a production pipeline for gazillions of animation and sound assets and deliver them to the screen at a minimum of 30 frames per second (33 milliseconds per frame).
Cpu performance and memory use are always of paramount importance. So are testing and bug reproducability, since millions of customers will be outraged if they play a game for hours and then it freezes or crashes on them. Given those requirements, game engines are not programmed in whatever language pleases the developers. They are programed in C++ for maximum performance.
And game levels are written by less skilled programmers called designers, who write in scripting languages. These are less complete programming languages built on top of the engine, which focus on the common elements needed for writing games. Scripting languages let you write less to achieve more.
So how do these two industries intersect? They intersect in ChatScript because I come to the NLP industry from the videogame industry. I started out in NLP on the chatbot side, where issues of content authoring and real-time performance abound. I have applied all of the concerns and characteristics of the video game industry to creating an engine that can perform in real time and perform on mobile devices.
You probably think of ChatScript as a system just for writing chatbots - for conducting some kind of prescripted conversation. This view is incomplete. ChatScript is also a broad industrial-strength system for a wide range of English NLP tasks. ChatScript is radically different from other NLP tools because it was architected with many considerations in mind: compact authoring expressiveness, speed, size, capability, and maintainability.
I know a guy who has worked for over a decade with different commerical customer help agent software systems for business and education, which are a kind of chatbot. He was tired of the industry and was exiting it when ChatScript arrived. Now he has switched over to ChatScript and is reinvigorated. Its performance and capabilities exceed all the systems he is familiar with and he knows all the major players.
The Virtual Patient project at OSU used AIML chatbot technology. They were dying because they had hundreds of thousands of rules that were killing their server’s performance and were unmaintainable. Every new rule added tended to break something elsewhere. They switched over to ChatScript and rewrote their system. It takes less than 2,000 rules and they figure their final system will not exceed 5000. Adding new rules without breaking things is easy and the system automatically tells them when they do create conflicts. Their server has no load at all and can run multiple different patient simulations simultaneously.
An example of a high-quality ChatScript bot, Tom Loves Angela that took about 5 person-months to create 16,000 script lines for iOS/Android . It stayed in the top 10 of Apple’s AppStore paid Entertainment category for 6 months. It was still in the top 25 iPad apps 18 months after release, even though the extension to 26,000 lines of Talking Angela was also released.
Understanding meaning is the holy grail of NLP. If you’ve ever used Google translate on a Japanese website, you’ll know that even Google doesn’t understand meaning. Most tools have to settle for focusing on words without any meaning. Parser tools get closest, but only when they can successfully parse the sentence.
While no software can understand the meaning of what people may unexpectedly say, ChatScript - better than any other software in the world - allows you to hunt in the input for a particular meaning, whether the input is parseable or not . For example, if you said I love dogs except on days of the week starting with a letter ChatScript would not understand that you don’t like dogs (unless we had explicitly written script to hunt for that meaning). But we could write a single brief rule in a pets topic which hunts for the meaning that you own an animal. The user could say I own two poodles or i have a dog or my parrot eats seeds and the system could record what kind of animal you owned and react to it with appropriate chat. And it would not be confused by I don’t own a cat or I would never have a dog or I have no pet but my friend owns a dog.
Because everything is scripted, it means every chatbot is all hand-authored. One could not create a major chatbot automatically. It’s a consistent skilled creation. The more script you have to type, the longer it takes to code. ChatScript is both extremely clear and extremely concise. Our chatbots of 12K to 16K ChatScript rules outperform chatbots with hundreds of thousands of their rules. They take years to write theirs; we take months.
A low-grade server running our most advanced chatbot can generate a response in a few milliseconds; handling thousands of simultaneous users at once. And you can run ChatScript on each core of a machine simultaneously, servering the same port, with near linear scaling, so an 8-core machine can handle well over 10K simultaneous conversations.
As for parsing English sentences, Stanford’s parser is the gold standard for such things. But it runs over much slower than we do. Stanford’s online server parses at a rate of 28 tokens per second (periods and commas are also tokens). Parsing a serious document would take it a long time. On my basic laptop, ChatScript can scan and parse a document at 30,000 tokens per second. We parse user input and chatbot output as part of the several milliseconds response time merely to automatically handle pronoun resolution for chat.
Our largest chatbot with Chatscript, parsing, etc, runs on an iPhone in 18Mb of memory. It doesn’t matter whether the input sentence is 5 words or 250 words. For Stanford’s parser, you can’t fit it on a phone. 20 word sentences take 50MB. 50 word sentences take 125MB. And their FAQ says “We have parsed sentences as long as 234 words, but you need lots of RAM and patience.”
Because ChatScript is concise, maintaining tens of thousands of rules is tons easier than maintaining hundreds of thousands (which is what other bots have to do). But ChatScript builds in explicit mechanisms to support maintenance. First, you can author things by topics, which are independent of each other and provide logical structured areas for rules on areas of knowledge. This makes it easy for multiple authors to work on a bot simultaneously.
Second, with every rule you associate a sample input- something the user might say that is supposed to trigger that rule. ChatScript can automatically test that the rule would respond to that input and that no other rule anywhere else in the system would collide and try to take control instead. It can generate reports that tell you of problems with your rules. Third, you can hold an ideal conversation with the system and ask it to turn that into a regression test.
You can then run that test anytime in the future to see if the system has degraded. Even if you insert other rules or alter the code of a rule, it can usually tell you whether you are still executing correctly even though the literal output has changed.
Fourth, ChatScript has analytic tools to peruse user logs. It can find user inputs that mention a particular word or words, tell you how many users entered a topic, how often, how deep they got into it, how many times a rule was executed and what users said just before or just after that are likely related to it. You can use these tools to find popular topics to expand, extend reactions to user inputs, and learn what things a topic fails to cover that seem to be frequent with users.
ChatScript can also print out abstracts of the system (what a user might say and what the system would say in return) so that customers can bless or request adjustment of the content without them having to know any ChatScript syntax or having to try out random inputs by themselves (they would never be able to test it all). And it can spell check the outputs. Or if you specify an age level, it can tell you where in the output you wrote there are words that violate vocabulary guidelines for that age group.
ChatScript can also trace execution of the script to controllable levels of detail when you are trying to debug why your script failed. You can trace a kind of activity (like function calls), a topic, etc
Finally, it’s all about what ChatScript can do easily and what you can do with ChatScript.
First thing that comes to mind is controlling conversation. ChatScript is good at finding the rule you wrote to address a specific meaning, so it can appropriately answer users’ questions. It is also good at conversational management, taking charge in a topic and leading the user on a conversational journey in a subject. Or taking conversational requests to speak on a subject or drop some subject.
ChatScript can classify expressed and implied emotions in user input and react accordingly. We have written bots that get huffy when insulted, respond with put-downs for sexual innuendos, detect when you seem bored with the discussion (based on expressed input or imputed behavior like how long your responses are) and either change topic or directly ask you if you are bored. You can use ChatScript to control gestures of an avatar to express bot emotions simultaneous with verbal output.
ChatScript keeps track of conversations with each user; can record where it is in a conversational flow and what facts it has learned about a user (you have to tell it what facts to try to learn). You can optionally keep logs of the conversations (either on a ChatScript server or locally on a freestanding device).
ChatScript can support multiple chatbots at the same time, either all acting independently or all coordinating in something like a theatrical production where multiple bots chat with each other and with the user. If you asked one chatbot a question about his family you’d get one answer, and if you asked a different one the same question you’d get a different answer. And if you asked one a fact question about some topic the other knows, usually the other would answer it instead.
Apart from mere conversation and avatar gesture control, you can write scripts of how to do things and ChatScript has built-in planner code that can combine them to achieve a goal. You could ask your robot for a ham sandwich and it could decide on a plan to go into the kitchen and make one, including going thru closed or open doors, returning for the key if the door is locked.
ChatScript can interact with the open source Postgres database. We can store gigabytes of information and access it quickly using NLP. One person used ChatScript to query a Dun & BradStreet database. We are working on using it to store digested wikipedia information so we can query it instantly.
ChatScript has a built in pos-tagger/parser. It can be used to read a document and try to extract information from it. There is even a wikipedia to plain text converter in ChatScript, so you can datamine Wikipedia with appropriate script. We are hoping to make the document reader automatically preliminarily grade papers in massive on-line courses.
Unlike normal NLP tools which are all trained on proper Wall Street Journal input (proper casing, proper speech), ChatScript aims to handle text which is not grammatically correct and which may be in all lower case or all upper case.
These capabilities support a more reliable sentiment analysis.This is just another area of hunting for meaning. Most sentiment analysis merely tallies keywords to decide positive or negative. So it’s not a good movie is likely to be considered positive.
A bunch of literature talks about using sentence analysis (parsing) to improve sentiment, being able to take into account the not for example.  But there are several issues here. First, something like the Stanford parser is slow. Second, it is hard to work with its output parse tree. Third, being based on statistical probability, it has no clue if it’s parse is correct or not. While it’s partof-speech tagging of words is 97.3% accurate, its parse is wrong almost half the time.
ChatScript’s parser is fast, integrated with ChatScript for easy use, and can generally know if it has found a parse or not because it is based on grammar rules. So if it can’t parse something, it can know that and fall back on its more general pattern matching abilities.
ChatScript can interact with the local machine (e.g. robotics control) or the Internet. You can from script request arbitrary programs be run locally and process returned data. Similarly you can use HTTP to request information (current temperature in Singapore, what is the size of the moon) or whatever via the Internet, postprocessing the HTML you get back to pull out the answers.
ChatScript supports defining and manipulating pattern matches on collections of words. This is part of how rules can be so concise. But it also means it can pull apart information in unusual ways.
We can outperform Amazon search. A typical Amazon product keyword search from a user is a series of words. To Amazon the words have no inherent order, but to the user they do, because they represent a meaning of what they want. If the user says teal kitchen timer made of aluminum not made in China, costing around $50, we can decompose that into all the intents the user expressed (including that teal is a hue of the color blue). Amazon search can’t handle that.
It can’t even handle teal kitchen timer. Only the 10th of the ten items found by them is in fact a timer. Since it recognizes it found way too few items, it also displays searches trying to reduce your input. So you see three items from teal kitchen none of which are timers. Then it gives you three items from kitchen timer, which are in fact kitchen timers though none of them are teal or even blue. Then it gives you three items from teal timer, but none of them are kitchen timers.
We wrote a program that took the first page of Amazon search results and reordered the items based on how closely they matched what the user wanted. So we would put that timer first in the list. And when Amazon returns too few matching items, we could tell it to re-search using blue kitchen timer, and if that was no good we could have then done kitchen timer. We can even handle context-sensitive distinctions like chocolate pecans (meaning chocolate flavor) vs chocolate shirt (meaning chocolate color).
ChatScript is an ever evolving system, gaining new capabilities every month. You could think of ChatScript as being like the Siri engine on steroids. With enough scripting, one could create a Siri that really could help you with every aspect of your online life. Eventually ChatScript, because is faster, more capable, and takes less memory, will overtake all existing NLP tools and become the world’s NLP standard.


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Supreme Court nullifies prime ancestral land titles of Piraso, Abanag heirs in Baguio
The claims have included the Casa Vallejo property along Upper Session Road, the Pacdal Circle, Wright Park, and the city government’s titled property in Barangay Lualhati
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THUMBNAIL
Section: User Commands (1)
Updated: September 26, 1994
Index
Return to Main Contents
NAME
thumbnail - create a
TIFF
file with thumbnail images
SYNOPSIS
thumbnail
[
options
]
input.tif
output.tif
DESCRIPTION
thumbnail
is a program written to show how one might use the
SubIFD tag (#330) to store thumbnail images.
thumbnail
copies a
TIFF
Class F facsimile file to the output file
and for each image an 8-bit greyscale
thumbnail sketch.
The output file contains the thumbnail image with the associated
full-resolution page linked below with the SubIFD tag.
By default, thumbnail images are 216 pixels wide by 274 pixels high.
Pixels are calculated by sampling and filtering the input image
with each pixel value passed through a contrast curve.
OPTIONS
- -w
-
Specify the width of thumbnail images in pixels.
- -h
-
Specify the height of thumbnail images in pixels.
- -c
-
Specify a contrast curve to apply in generating the thumbnail images.
By default pixels values are passed through a linear contrast curve
that simply maps the pixel value ranges.
Alternative curves are:
exp50
for a 50% exponential curve,
exp60
for a 60% exponential curve,
exp70
for a 70% exponential curve,
exp80
for a 80% exponential curve,
exp90
for a 90% exponential curve,
exp
for a pure exponential curve,
linear
for a linear curve.
BUGS
There are no options to control the format of the saved thumbnail images.
SEE ALSO
tiffdump(1),
tiffgt(1),
tiffinfo(1),
libtiff(3)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- OPTIONS
-
- BUGS
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 01:31:47 GMT, November 23, 1999


Classes | |
| class | CachedCounters |
| Abstract implementation of performance counters that measures and stores counters in memory. Child classes implement saving of the counters into various destinations. More... | |
| class | CompositeCounters |
| Aggregates all counters from component references under a single component. More... | |
| class | Counter |
| Data object to store measurement for a performance counter. This object is used by CachedCounters to store counters. More... | |
| class | DefaultCountersFactory |
| Creates ICounters components by their descriptors. More... | |
| interface | ICounters |
| Interface for performance counters that measure execution metrics. More... | |
| interface | ITimingCallback |
| Interface for a callback to end measurement of execution elapsed time. More... | |
| class | LogCounters |
| Performance counters that periodically dumps counters measurements to logger. More... | |
| class | NullCounters |
| Dummy implementation of performance counters that doesn't do anything. More... | |
| class | Timing |
| Callback object returned by ICounters.BeginTiming(string) to end timing of execution block and update the associated counter. More... | |
Enumerations | |
| enum | CounterType : int { CounterType.Interval = 0, CounterType.LastValue = 1, CounterType.Statistics = 2, CounterType.Timestamp = 3, CounterType.Increment = 4 } |
| Types of counters that measure different types of metrics More... | |
|
strong |
Types of counters that measure different types of metrics
| Enumerator | |
|---|---|
| Interval | Counters that measure execution time intervals |
| LastValue | Counters that keeps the latest measured value |
| Statistics | Counters that measure min/average/max statistics |
| Timestamp | Counter that record timestamps |
| Increment | Counter that increment counters |


--- title: Generate Predictions with an Estimator type: docs repo: https://github.com/rstudio/tfestimators menu: main: name: Generate Predictions with an Estimator - tfestimators parent: tfestimators-reference aliases: - /reference/tfestimators/predict.tf_estimator.html - /tfestimators/reference/predict.tf_estimator.html - /guide/tfestimators/reference/predict.tf_estimator.html - /tools/tools/tfestimators/reference/predict.tf_estimator.html - /installation/tfestimators/reference/predict.tf_estimator.html - /tutorials/tfestimators/reference/predict.tf_estimator.html - /guide/tools/tfestimators/reference/predict.tf_estimator.html - /deploy/tfestimators/reference/predict.tf_estimator.html - /tools/tfestimators/reference/predict.tf_estimator.html - /tutorials/tools/tfestimators/reference/predict.tf_estimator.html ---
Generate predicted labels / values for input data provided by input_fn()
.
# S3 method for tf_estimator
predict(object, input_fn, checkpoint_path = NULL,
predict_keys = c("predictions", "classes", "class_ids", "logistic",
"logits", "probabilities"), hooks = NULL, as_iterable = FALSE,
simplify = TRUE, yield_single_examples = TRUE, ...)
| object | A TensorFlow estimator. |
| input_fn | An input function, typically generated by the |
| checkpoint_path | The path to a specific model checkpoint to be used for
prediction. If |
| predict_keys | The types of predictions that should be produced, as an R list. When this argument is not specified (the default), all possible predicted values will be returned. |
| hooks | A list of R functions, to be used as callbacks inside the
training loop. By default, |
| as_iterable | Boolean; should a raw Python generator be returned? When
|
| simplify | Whether to simplify prediction results into a |
| yield_single_examples | (Available since TensorFlow v1.7) If |
| ... | Optional arguments passed on to the estimator's |
Evaluated values of predictions
tensors.
ValueError: Could not find a trained model in model_dir.
ValueError: if batch length of predictions are not same. ValueError: If
there is a conflict between predict_keys
and predictions
. For example
if predict_keys
is not NULL
but EstimatorSpec.predictions
is not a
dict
.
Other custom estimator methods: estimator_spec
,
estimator
,
evaluate.tf_estimator
,
export_savedmodel.tf_estimator
,
train.tf_estimator


The WD Style Sheet consists of a library written in CSS whose purpose is to provide the styling of the developing application by means of basic class attributes.
The tool relates slightly to the javascript tools resulting in integration between the two libraries.
The class attribute starts with the prefix wd-
followed by the style name:
wd-styleName
Depending on the style, there may be the suffix -child
that transfers the attribute's style to the element's children:
wd-styleName-child
See the menu for more details.


This is an experiment in creating an interesting visual way to scroll through artworks
Using CSS to build a cube and JS to create the 'roll' functionality
you can click below to roll and select a random cube face


Previous article: Worked Example - 2 get and store data
Next article: Worked Example - 4 drawing conclusions;
Clean Validate and Summarise
The aim of this section is to gain a deeper understanding of the data, which implies weeding out erroneous input, and summarising the data. In the previous section we have already started out with weeding out duplicate lines, and other data transformations. In this section, we drill deeper, and we screen the data, not only for syntactic conformity to rules - correct data types, etc, - but also for their meaning.
The input is, obviously, the database we have prepared in the previous section. Pay attention to a subtle issue. We should not alter the data, if possible, at all. Suppose we find a row in a table that seems an outlier - a technical glitch. Instead of deleting it, we flag it. That is because, as the project goes on, these outliers might seem interesting for analysis. If we delete them we will never know.
The desired output, conceptually, is a clean dataset and a good understanding of it. The main locus is the Jupyter Notebook, that contains all the different things we tried out. Then we also get out of the notebook what seems relevant and pass it on to a couple of documents that we use to document and communicate our work:
- A detailed data report, where we describe the data, explain how we cleaned it, its main features, etc.
- The cleaned data set; a transformed copy of the "read only" raw data.
- The code script for that section, that should be reading the data, fixing what is to be fixed, and producing the necessary plots and summary statistics tables to be used in the data report.
You can find these in the folders of phase_3. In our project, since we work with a curated dataset, as we could have expected, the cleaning has been at a minimum, therefore we did not have to provide a new, cleaned, version of the data.
This part of this, or any other, project, is the boring part. We have done mostly mundane tasks like checking for null values and ranges of values. Although this activity is seemingly trivial, it is the basis of the project. If you follow the Jupyter notebook and the data report you will see how we got to an understanding of the data, and dug out things that are not obvious. For example we identified a relation that holds between the different columns, which works like an integrity check for the data. Knowing that will be useful later in understanding why, for example, certain columns seem correlated. All these little pieces of understanding that we have collected sip in the next stages of the project and improve it.
Sources:
- You can find the relevant material for the third phase at the GitHub project repository
- For the coding details, take a look at the Jupyter Notebook


Another cool text
More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!More cool text coming up!
Button


{% extends "layout.html" %} {% block body %}
Congrats your transfer is complete :)
Head over to strava.com and check it out!


--- description: 'paypal checkout pay step.' --- {% if cart %} {% if order.payment_processed %}
Thank you! The payment is already processed for this order.
Order not found.


Maybe Kohli wanted to say nice things about BCCI president Ganguly: Gavaskar takes a dig at India captain
Legendary India batsman Sunil Gavaskar on Sunday took an exception to Virat Kohli's remark about the current team carrying forward the work started by former captain Sourav Ganguly.
HIGHLIGHTS
- Virat Kohli on Sunday said that India were carrying forward the good work started by Sourav Ganguly
- Sunil Gavaskar tried to remind Kohli that India were winning series even before he was born
- India swept the 2-Test series vs Bangladesh 2-0
Former India captain Sunil Gavaskar doesn't seem to be too impressed with current skipper Virat Kohli crediting Sourav Ganguly for starting the process that has now resulted in India asserting themselves on the cricket field and getting inside the minds of the opposition.
"This is a fantastic win but I would like to make a point," said Gavaskar in the post-match show on Star Sports.
"The Indian captain said that this thing started in 2000 with Dada's (Ganguly's) team. I know Dada is the BCCI President, so maybe Kohli wanted to say nice things about him. But India were also winning in the '70s and '80s. He wasn't born then.
"A lot of people still think that cricket started only in the 2000s. But the Indian team won overseas in the '70s. The Indian team also won away in 1986. India also drew series overseas. They lost as other teams did," Gavaskar said.
After completing a 2-0 series whitewash against Bangladesh by winning their maiden day-night Test at the Eden Gardens on Sunday, Kohli said, "It all started with Dada's team and we are just carrying it forward.
"The bowling group is fearless now and they believe in themselves while bowling against any batsman. We are reaping the rewards for all the hard work we put in the last 3-4 years."


Firefox
Mozilla Firefox is a free open source web browser for the computer. It displays web pages written in the computer language HTML. It is made by the Mozilla Foundation. It works on all common operating systems.
Department of Computer Science
I am an Open Source Contributor
Just convert any Website into Webapp
template freebie by HTML5 UP.
Simply hack the given code or pick any template and just hack that and host it firefox developer account and just make the Webapp for the same .
I can do anythig that i love and i never give excuse ,i give result.
I got some experience in world of Information Technology
Mozilla Firefox is a free open source web browser for the computer. It displays web pages written in the computer language HTML. It is made by the Mozilla Foundation. It works on all common operating systems.
After getting involved in Open Source i have learned some much stuffs.
Scrapping and Crawling a website using Scrappy or using Beautiful Soup in Python is so cool that i just became Python fan.
Feel free to contact me anytime .


| PostgreSQL 9.5.19 Documentation | |||
|---|---|---|---|
| Prev | Up | Chapter 56. Writing A Custom Scan Provider | Next |
A custom scan is represented in a finished plan tree using the following structure:
typedef struct CustomScan { Scan scan; uint32 flags; List *custom_plans; List *custom_exprs; List *custom_private; List *custom_scan_tlist; Bitmapset *custom_relids; const CustomScanMethods *methods; } CustomScan;
scan must be initialized as for any other scan, including estimated costs, target lists, qualifications, and so on. flags is a bit mask with the same meaning as in CustomPath. custom_plans can be used to store child Plan nodes. custom_exprs should be used to store expression trees that will need to be fixed up by setrefs.c and subselect.c, while custom_private should be used to store other private data that is only used by the custom scan provider itself. custom_scan_tlist can be NIL when scanning a base relation, indicating that the custom scan returns scan tuples that match the base relation's row type. Otherwise it is a target list describing the actual scan tuples. custom_scan_tlist must be provided for joins, and could be provided for scans if the custom scan provider can compute some non-Var expressions. custom_relids is set by the core code to the set of relations (range table indexes) that this scan node handles; except when this scan is replacing a join, it will have only one member. methods must point to a (usually statically allocated) object implementing the required custom scan methods, which are further detailed below.
When a CustomScan scans a single relation, scan.scanrelid must be the range table index of the table to be scanned. When it replaces a join, scan.scanrelid should be zero.
Plan trees must be able to be duplicated using copyObject
,
so all the data stored within the "custom" fields must consist of
nodes that that function can handle. Furthermore, custom scan providers
cannot substitute a larger structure that embeds
a CustomScan for the structure itself, as would be possible
for a CustomPath or CustomScanState.
Node *(*CreateCustomScanState) (CustomScan *cscan);
Allocate a CustomScanState for this
CustomScan. The actual allocation will often be larger than
required for an ordinary CustomScanState, because many
providers will wish to embed that as the first field of a larger structure.
The value returned must have the node tag and methods
set appropriately, but other fields should be left as zeroes at this
stage; after ExecInitCustomScan
performs basic initialization,
the BeginCustomScan
callback will be invoked to give the
custom scan provider a chance to do whatever else is needed.
void (*TextOutCustomScan) (StringInfo str, const CustomScan *node);
Generate additional output when nodeToString
is invoked on
this custom plan node. This callback is optional. Since
nodeToString
will automatically dump all fields in the
structure, including the substructure of the "custom" fields,
there is usually not much need for this callback.


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001package org.codemonkey.simplejavamail; 002 003/** 004 * Defines a set of restriction flags for email address validation. To remain completely true to RFC 2822, all flags should be set to 005 * true. 006 * 007 * @author Benny Bottema 008 * @see #EmailAddressValidationCriteria(boolean, boolean) 009 */ 010public class EmailAddressValidationCriteria { 011 012 private final boolean allowDomainLiterals; 013 private final boolean allowQuotedIdentifiers; 014 015 /** 016 * Criteria which is most RFC 2822 compliant and allows all compiant address forms, including the more exotic ones. 017 * 018 * @see #EmailAddressValidationCriteria(boolean, boolean) 019 */ 020 public static final EmailAddressValidationCriteria RFC_COMPLIANT = new EmailAddressValidationCriteria(true, true); 021 022 /** 023 * @param allowDomainLiterals
 024 *
This flag states whether domain literals are allowed in the email address, e.g.: 025 *
 026 *<EMAIL_ADDRESS>or
 027 * <tt>john.doe@[23:33:A2:22:16:1F]</tt> or
 028 * <tt>me@[my computer]</tt> 029 *
 030 *
 031 * The RFC says these are valid email addresses, but most people don't like allowing them. If you don't want to allow them, 032 * and only want to allow valid domain names (RFC 1035, x.y.z.com, etc), 033 * change this constant to <tt>false</tt>. 034 *
 035 * Its default value is <tt>true</tt> to remain RFC 2822 compliant, but you should set it depending on what you need for your 036 * application.
 037 *
 038 * @param allowQuotedIdentifiers
 039 *
This flag states whether quoted identifiers are allowed (using quotes and angle brackets around the raw address) are 040 * allowed, e.g.: 041 *
 042 * <tt>"John Smith"<EMAIL_ADDRESS>043 *
 044 * The RFC says this is a valid mailbox. If you don't want to allow this, because for example, you only want users to enter 045 * in a raw address<EMAIL_ADDRESS>- no quotes or angle brackets), then change this constant to 046 * <tt>false</tt>. 047 *
 048 * Its default value is <tt>true</tt> to remain RFC 2822 compliant, but you should set it depending on what you need for your 049 * application.
 050 *
 051 */ 052 public EmailAddressValidationCriteria(boolean allowDomainLiterals, boolean allowQuotedIdentifiers) { 053 this.allowDomainLiterals = allowDomainLiterals; 054 this.allowQuotedIdentifiers = allowQuotedIdentifiers; 055 } 056 057 public final boolean isAllowDomainLiterals() { 058 return allowDomainLiterals; 059 } 060 061 public final boolean isAllowQuotedIdentifiers() { 062 return allowQuotedIdentifiers; 063 } 064}


--- layout: default nav: attributes > ic-action-target ---
ic-action-target
- The Action Target AttributeThe ic-action-target
overrides the standard ic-target
attribute when deciding what element to target with the ic-action
attribute.
The value of the ic-action-target
attribute can be:
this
, indicating that the element that the ic-action-target
attribute
is on is the targetclosest
followed by a valid CSS selector, indicating that the
closest parent to the element satisfying the given css selector is the
target (e.g. closest tr
find
followed by a valid CSS selector, indicating that the
closest child satisfying the given css selector is the target (e.g. closest .indicator-elt
This attribute may be placed on parent elements, allowing you to specify behavior across multiple elements.
ic-action-target
has no effect on dependencies.


Example 1:
By default ui-overflow-menu receives an Array of strings and the position is
"right bottom".
You can use 'divider' to generate a separator line
Current selected option : {{model3}}
Example 2:
ui-overflow-menu receives an Array of Objects as well
Current selected option : {{model4 | json }}
Example 3:
ui-overflow-menu receives a position like: '' | 'top' | 'top left' | 'left'
Default
top
top left
left
Example 4:
ui-overflow-menu as as simple menu:
Item Text
Testing 123...
{{ clickedOption | json }}
Example 5
Providing custom content


CrashRpt is a free open-source library designed for intercepting exceptions in your C++ program, collecting technical information about the crash and sending error reports over the Internet to software vendor.
You can open the downloaded archive using 7-Zip program.
You can also download free and open-source server for CrashRpt: Download CrashFix Server.
Online Documentation - CrashRpt user manual & API reference
Forum - Ask a CrashRpt related question
An example of user interface:
Supports Visual C++ 2005, 2008, 2010, 2012 and Visual C++ Express (Windows Driver Kit is required to compile in Visual C++ Express.). Can be compiled for 32-bit and 64-bit platforms.
Works in Windows XP/2003/Vista, Windows 7 and Windows 8.
Handles exceptions in the main thread and/or in all worker threads of your user-mode program: SEH exceptions, unhandled C++ typed exceptions, signals and CRT errors.
Generates error report including crash minidump, extensible crash description XML, application-defined files, desktop screenshots and screen capture videos.
Presents UI allowing user to review the crash report. Supports Privacy Policy definition.
Can display its UI using different languages, which makes it even more suitable for multi-lingual applications.
Sends error reports in background after user has provided his/her consent. HTTP (or HTTPS), SMTP and Simple MAPI are available methods to transfer the report data over the Internet.
Automatically restarts the application on crash (if user provides his/her consent).
Automates error report processing on developer's side using command-line tool. This option becomes helpful when you receive lots of error reports from users of your software. Provides API for accessing error report properties and files programmatically.


## Content
* Best Practices in Software Engineering
* Core Agile Values
* Agile Principles
* Scrum
* eXtreme Programming
* Review
## Best Practices in Software Engineering
* Iterative Development
* Manage Requirements
* Verify Quality
* Use Component-Based Architecture
* Model Visually
* Control Changes
### Iterative Development
![Iterative Development][iteroverview]
[iteroverview]: http://www.kineticsocial.com/wp-content/uploads/2014/03/buildmeasurelearn.jpg "From http://www.kineticsocial.com/connecting-with-customers-as-an-iterative-process-custom-and-tailored-audiences/"
### Iterative Development (Waterfall)
![Waterfall Model][waterfall]
[waterfall]: https://upload.wikimedia.org/wikipedia/commons/e/e2/Waterfall_model.svg "From https://commons.wikimedia.org/wiki/File:Waterfall_model.svg"
### Iterative Development (Iterative)
![Iterative Model][iterative]
[iterative]: http://www.definedconsulting.com/images/methodology.jpg "From http://www.definedconsulting.com/images/methodology.jpg"
### Iterative Development (Compare)
![Waterfall vs Iterative][wf-vs-it]
[wf-vs-it]: http://www.ibm.com/developerworks/rational/library/content/04March/3070/3070_fig1.jpg "From http://www.ibm.com/developerworks/rational/library/4029.html"
### Manage Requirements
![TOGAF as an example of requirements span][togaf]
[togaf]: http://www.ibm.com/developerworks/library/ar-reqframe1/0-togaf.jpg "From http://www.ibm.com/developerworks/library/ar-reqframe1/"
### Verify Quality
![Quality Engineering][quality]
[quality]: https://upload.wikimedia.org/wikipedia/commons/thumb/3/30/Quality_Engineering.jpg/1200px-Quality_Engineering.jpg "From https://en.wikipedia.org/wiki/Quality_engineering#/media/File:Quality_Engineering.jpg"
### Use Component-Based Architecture
![Component-Based Architecture][component-based]
[component-based]: http://ws2.din.uem.br/~teclopes/MMedia/MMedia%20Architecture%20Design_arquivos/image006.gif "From http://ws2.din.uem.br/~teclopes/MMedia/"
### Model Visually
![Agile Modeling][modeling]
[modeling]: http://agilemodeling.com/images/models/activityDiagram.jpg "From http://agilemodeling.com/essays/realisticUML.htm"
### Control Changes
![Configuration Management and Change Management][scm-crm]
[scm-crm]: imgs/o/voyager-scm-46-638.jpg "From http://www.slideshare.net/SivaprasanthRentala1975/voyager-scm-5832529"
## Core Agile Values
We have come to value:
1. ***Individuals and interactions*** over *processes and tools*
* ***Working software*** over *comprehensive documentation*
* ***Customer collaboration*** over *contract negotiation*
* ***Responding to change*** over *following a plan*
That is, while there is value in the items on
the right, we value the items on the left more.
Note:
## Agile Principles
![Agile Values, Principles and Practices][agile-val-prin]
[agile-val-prin]: https://msdn.microsoft.com/dynimg/IC511953.jpg "From https://msdn.microsoft.com/en-us/library/hh273032(v=vs.88).aspx"
### Principles behind the Agile Manifesto
We follow these principles:
* Our highest priority is to satisfy the customer
through early and continuous delivery
of valuable software.
* Welcome changing requirements, even late in
development. Agile processes harness change for
the customer's competitive advantage.
* Deliver working software frequently, from a
couple of weeks to a couple of months, with a
preference to the shorter timescale.
* Business people and developers must work
together daily throughout the project.
* Build projects around motivated individuals.
Give them the environment and support they need,
and trust them to get the job done.
* The most efficient and effective method of
conveying information to and within a development
team is face-to-face conversation.
* Working software is the primary measure of progress.
* Agile processes promote sustainable development.
The sponsors, developers, and users should be able
to maintain a constant pace indefinitely.
* Continuous attention to technical excellence
and good design enhances agility.
* Simplicity--the art of maximizing the amount
of work not done--is essential.
* The best architectures, requirements, and designs
emerge from self-organizing teams.
* At regular intervals, the team reflects on how
to become more effective, then tunes and adjusts
its behavior accordingly.
![Scrum Overview][scrum]
[scrum]: http://riverpark.co.th/images/blogimg/kk.jpg "From http://riverpark.co.th/blog/agilesdlc.html"
![XP Overview][xp]
[xp]: http://www.rippleimpact.com/images2/extreme.gif "From http://www.rippleimpact.com/methodology.shtml"


I have 6 years of work experience in the field of software engineering and development. Currently, I am involved in Algorithm Analysis, Data Science using Python and Mobile Application Development using Java.
Business Process Lead - Tata Consultancy Services
Mumbai - India
Technology Analyst - Infosys Limited
Pune - India
Associate Consultant - Capgemini
Pune - India
Master of Science in Computer Science, University of North Carolina at Charlotte
Charlotte - North Carolina
Bachelor of Information Technology, Institute of Technical Education and Research
Bhubaneswar Odisha, India
Furthermore, I am creative, fast-thinking and innovative and great at analyzing data related to various domains. Throughout my career, I have demonstrated the highest levels of service and commitment to the mission of any organization I have worked for."


REXML
¶ ↑
REXML
was inspired by the Electric XML library for Java, which features an easy-to-use API, small size, and speed. Hopefully, REXML
, designed with the same philosophy, has these same features. I've tried to keep the API as intuitive as possible, and have followed the Ruby methodology for method naming and code flow, rather than mirroring the Java API.
REXML
supports both tree and stream document parsing. Stream parsing is faster (about 1.5 times as fast). However, with stream parsing, you don't get access to features such as XPath.
API¶ ↑
See the API documentation
Usage¶ ↑
We'll start with parsing an XML document
require "rexml/document" file = File.new( "mydoc.xml" ) doc = REXML::Document.new file
Line 3 creates a new document and parses the supplied file. You can also do the following
require "rexml/document" include REXML # so that we don't have to prefix everything with REXML::... string = <<EOF <mydoc> <someelement attribute="nanoo">Text, text, text</someelement> </mydoc> EOF doc = Document.new string
So parsing a string is just as easy as parsing a file.
Development¶ ↑
After checking out the repo, run rake test
to run the tests.
To install this gem onto your local machine, run bundle exec rake install
. To release a new version, update the version number in version.rb
, and then run bundle exec rake release
, which will create a git tag for the version, push git commits and tags, and push the .gem
file to rubygems.org.
Contributing¶ ↑
Bug reports and pull requests are welcome on GitHub at github.com/ruby/rexml.
License¶ ↑
The gem is available as open source under the terms of the BSD-2-Clause.


{% extends "layout_task-list.html" %} {% block page_title %} Money Claims Prototype {% endblock %} {% block home_link %} ../../task-list {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Make a money claim Claim amount {{formData | safe}} Interest You can also claim interest on the money you’re owed. The court will decide if you’re entitled to it. Unless you know that a different rate applies, you can claim 8%. Interest What rate of interest are you claiming? 8% (the standard amount) a different rate Rate you're claiming % Why you’re entitled to this rate I don't want to claim interest Help with interest rate Content goes here... {% endblock %}
You can also claim interest on the money you’re owed. The court will decide if you’re entitled to it.
Unless you know that a different rate applies, you can claim 8%.
What rate of interest are you claiming?
Content goes here...


Employment opportunities are offered through Culinary Services, Housing and Residence Life and other departments on OU’s Athens campus.
Students must complete an I-9 form and be enrolled at either OU, Hocking College, another post-secondary education institution or a secondary school in order to be hired at OU.
Brittany Koska, the assistant manager for Culinary Services, said her workplace is convenient for student employees.
“We have multiple venues on campus, so it’s very convenient to find a venue close to their residence hall,” Koska said in an email. “We are very flexible with school schedules.”
Koska said there will be a multitude of employment opportunities for the Fall Semester at Nelson Court, The District on West Green, Latitude 39, West 82 Food Court, catering, cafes and markets, including Jefferson marketplace.
Student employees are able to work up to 25 hours per week at the university while international students can work up to 20 hours per week.
Koska said the starting pay rate for the cafes and markets is between $8.80 and $9.60 per hour, while the starting pay rate is between $9.30 and $10.10 per hour for residential dining, West 82 and Latitude 39.
Ben Byers, a junior studying journalism, said his experience working at Nelson Court allowed him to gain personal skills. He said he was responsible for ensuring the dining hall did not run out of food and for serving food to students.
“This job definitely helped me work with other people and helped with my communications skills, as during my shift you really do need to communicate with your coworkers and the chefs about how much food you have or what food you need to make sure nothing runs out,” Byers said in an email. “If you don't work well with your team or if you don't communicate then everything can fall apart.”
In addition to food service jobs, there are other opportunities to work on campus, such as a job with Housing and Residence Life. Amira Lucas, a senior studying music, worked as a resident advisor, or RA.
“RA’s were to patrol the building 1-2 times a week during the night, answer the duty phone when they were holding it, hold social events within your res-hall and check up on their residents when needed,” Lucas said in an email. “We also let residents back into their room when they were locked out, and reported any activity that could be harmful to residents or against school policy.”
Lucas said RAs were paid bi-weekly and were also provided with free on-campus housing in the residence halls.
There are also jobs available off-campus that are within walking distance from the residence halls, including jobs on Court Street.
Tyler Benson, an external communications analyst for Chipotle, said the restaurant offers many benefits for student employees.
Chipotle offers college students debt-free schooling at several nonprofit universities through a partnership with Guild Education, an education platform for student employees, as well as mental health resources.
The restaurant’s debt-free degree offering includes a tuition reimbursement program that allows eligible employees to be reimbursed for up to $5,250 per year in tuition costs in qualifying programs, Benson said.
With the benefits available for students through either on-campus or off-campus employment, Byers said working a job while attending college can benefit students.
“I believe for students having a job on campus can (definitely) help them not only financially but emotionally as well, as it is something other than school for them to do,” Byers said in an email. “Often times going to school everyday and nothing else can drive people crazy so it's nice to have something else to do, especially in times of Covid, to get them out and about.”


 %}
{% if c.min_count == c.max_count %} {% blocktrans trimmed count min_count=c.min_count %} You need to choose exactly one option from this category. {% plural %} You need to choose {{ min_count }} options from this category. {% endblocktrans %} {% elif c.min_count == 0 %} {% blocktrans trimmed count max_count=c.max_count %} You can choose at most one option from this category. {% plural %} You can choose up to {{ max_count }} options from this category. {% endblocktrans %} {% else %} {% blocktrans trimmed with min_count=c.min_count max_count=c.max_count %} You can choose between {{ min_count }} and {{ max_count }} options from this category. {% endblocktrans %} {% endif %}


Toastas
Toasted bread, soft on the outside and crispy on the inside.
By toasting two slices of bread against each other and then swapping them, the bread gets a whole new tasting experience.
It's best to use freshly baked bread for a toastas, that way the contrast between the soft outside and the toasted inside will be large enough.
You also can make it with sugar bread or raisin bread. Delicious for breakfast or an afternoon snack.
This recipe in Dutch: toastas.be
What you need
- Two slices of freshly baked bread
- Bread topping (of your choice)
- Toaster
Method
-
Put the two slices of freshly baked bread together in one slot of the toaster, long sides together. Turn on the toaster and let it grill slowly.
-
After toasting, remove the two slices from the toaster at the same time and place them together.
Spread the top toasted slice with butter, chocolate, jam or another topping of your choice (smoked salmon, cheese, sprinkles, banana slices, brown sugar, cinnamon).
-
After topping, move the bottom slice upwards so that the two toasted sides are on the inside of the toast shaft with the topping in between. The outside should be soft. Press lightly.
-
The toastas is ready. Enjoy.


This button will keep the currently highlighted item in the Out Basket so that it will not be removed after the next blink. An item that is kept can be executed every time Ameol blinks. When the currently highlighted item has been kept the caption on the Keep button will change to Unkeep. Click this button to return the currently highlighted item to normal status.


Consider a model which has one parameter, such as for example in the bimodalmodel example. Valid parameters for this model come from the real number space, which in this case is one-dimensional since the model only has 1 parameter. Because of practical considerations such as number precision, our parameter cannot take just any value, but rather it has to be constrained to a certain range within the real number space:
With θ the parameter set, which in the case of our example contains only one parameter; Θ which represents all the numbers from the valid range of the number line; R, which represents all numbers from a one-dimensional real number space.
For a model with 2 parameters, such as the linearmodel example, the parameter space is in fact a plane, rather than a line:


I installed oem_gateway and emoncms in the same SD card and the system works fine: the data are correctly
received by emonTX3 and sent to the local server emoncms built inside the SD card.
Now I need to connect wirelessly my raspberry cause I can no longer use the Ethernet connection. Here are my problems started: IPE1 do not contain wireless-tools so I can not use the commands iwconfig and iwlist. Also it seems this is not the wpasupplicant package.
I was able to load the wireless-tools package and then using iwconfig and iwlist but for some reason I can not upload wpasupplicant.
Has anyone had same problem? We need to have the wpasupplicant package to connect wirelessly?
Any help will be appreciated! (sorry for my bad english)
Thanks
Re: Emoncms on the RaspberryPI: Partitioned SD - wireless problems
I'm not sure why you have the (IPE-R1) Rock-solid read-only oem_gateway image and the emonCMS server & database on the same sd card. as they are opposing methods.
The oem_gateway can work well with a local emonCMS install, but ideally on a harddrive.
The read-only version of oem_gateway can be used on an sd card because it is read only.I would recommend reviewing your set-up, as the SD card will fail at some point
I had the same issue with wifi on the Read-only gateway and I made an updated image which is available to download, this has the wpasupplicant package and drivers etc and can be found here Rock-solid Gateway Image but you should read the notes here if you go that route http://openenergymonitor.org/emon/node/4036
If you wish to run a local copy of emonCMS (without the sd card crashing) I would recommend using a small hdd with your pi. instructions for that can be found here Creating a local EmonCMS installation on a Raspberry Pi to which you can add oem_gateway by using
and following these instructions https://github.com/Jerome-github/oem_gateway
Paul
Re: Emoncms on the RaspberryPI: Partitioned SD - wireless problems
I'm not near my Pi at the moment but have you tried just configuring it in /etc/network/interfaces :
Re: Emoncms on the RaspberryPI: Partitioned SD - wireless problems
hello,
thanks for the quick reply. Maybe I forgot to mention that I have followed this tutorial
http://emoncms.org/site/docs/fullstackpi
which plans to start from an SD card containing a oem_gateway image; this image comes with the
following things pre-installed: ipe debian linux, ssh server, serial settings for rfm12pi,
git and Jerome's oem gateway. In the next step the SD is partitioned to allow the installation
of the local server apache + mysql + redis which will be installed inside the webapp emocms.
For ukmoose: thanks, i already have tried that settings, but i think the problem is the missed wpa_supplicant.
for pb66: thanks, i think i will use the external hard disk but i wanted to do a try with all system
on a card because it sounds very nice to me to have all inside the raspberry. Anyway i will follow
your instructions as soon as possible (today is sunny and i'm out with family ^_^).
Have both a great weekend! :)
Emilio
Re: Emoncms on the RaspberryPI: Partitioned SD - wireless problems
Hi Emilio,
I hope you don't mind I have copied and replied to your PM in the forum thread as other users may be able to contribute or find it of interest.
If you wish to go down the route of installing emonCMS to a read-only partition and have a data partition to write to, and are unable to resolve the wifi issue using the oem_gateway image used in those instructions, you could build your own image or I can see no reason against using the image I linked to instead. Trystan has also created a RO raspbian image you could start with. All of these are read-only sd card images that in theory you could use to follow thestackpi instructions to add a data partition for emonCMS.to write to.
Make sure you keep backing up your data partition though (this should be done with hdd as well but more so with sd card), the image can always be rebuilt but if you cannot retrieve your data from a failed sd card it's gone for good.
If you use a smallish sd card (to begin with) you can back up your SD image and try another method (or try them all) when you decide on an image you can increase the partition sizes as you need (keep them small to help with backing up)
Paul


Tananger is a most useful port of call if wishing to berth in the vicinity of Stravanger. When making a coastal passage, is save a considerable detour as it is right on the North Sea coast of Norway.
Position 58° 55. 6’N, 5° 35.6’E.
This is a large, busy harbour as it services the North Sea oil rigs.
There are plenty of berthing options for yachts.


Package org.powertac.common
Power TAC domain types, shared between simulation server and brokers.
Most classes in this package are messages that
can be exchanged between the server and brokers, and most
are immutable. Also in this package are some essential domain services,
that must be identical between server and broker, including the
TimeService and a message converter.
-
Interface Summary Interface Description Action This is a simple interface intended to be implemented by anonymous classes that need to create a deferred action of some sort.TimedAction Generic action type that takes time as an argument.ValidatableMessage Classes of this type may implement the isValid() method to perform a local validation of the contents of a message. -
Class Summary Class Description BalancingTransaction Represents the broker's final supply/demand imbalance in the current timeslot, and the Distribution Utility's charge for this imbalance.BankTransaction Represents interest charges and payments for brokers.Broker A broker instance represents a competition participant.BrokerTransaction Superclass with common attributes for a number of transaction types.CapacityProfile Represents a customer usage or production profile over time.CapacityTransaction Represents the fee assessed by the Distribution Utility for peak capacity events.CashPosition A CashPosition domain instance represents the current state of a broker's cash account.ClearedTrade A ClearedTrade instance reports public information about a specific market clearing -- clearing price and total quantity traded.Competition A competition instance represents a single PowerTAC competition and at the same time serves as the place for all competition properties that can be adjusted during competition setup (i.e.CustomerInfo A CustomerInfo instance represents a customer model (i.e.DistributionTransaction Represents the fee assessed by the Distribution Utility for transport of energy over its facilities during the current timeslot.HourlyCharge Represents the cost of power during a specific timeslot in a variable Rate.IdGenerator Generates numeric ID values for domain types.MarketPosition AMarketPosition
domain instance represents the current position of a single broker for wholesale power in a given timeslot.MarketTransaction A MarketTransaction instance represents a trade in the wholesale market.Order A Order instance represents a market (no price specified) or a limit (min/max price specified) order in the PowerTAC wholesale market.Orderbook An orderbook instance captures a snapshot of the PowerTAC wholesale market's orderbook (the un-cleared bids and asks remaining after the market is cleared).OrderbookOrder Each instance is an individual un-cleared entry (a Bid or an Ask) within an Orderbook.RandomSeed RandomSeed is used to store generated random seed in the database in order to be able to "replay" PowerTAC competitions later on with exactly the same random seed settings as originally used.Rate Tariffs are composed of Rates.RateCore Common supertype of Rate classes, holds tariff ID for this rate.RegulationAccumulator Accumulates available regulation capacity for a given TariffSubscription.RegulationCapacity Accumulates available regulation capacity for a given TariffSubscription.RegulationRate Tariffs are composed of Rates, including RegulationRates.RepeatingTimedAction A timedActionTariff Entity wrapper for TariffSpecification that supports Tariff evaluation and billing.TariffEvaluationHelper Probe object that can be used by customer models and other players to generate cost estimates for tariffs, including a risk-adjusted estimates of the actual cost of variable-rate tariffs.TariffEvaluator Tariff evaluation process intended to simplify customer models.TariffMessage Supertype of all tariff-related messages that can be processed by a TariffMessageProcessor.TariffSpecification Represents a Tariff offered by a Broker to customers.TariffSubscription A TariffSubscription is an entity representing an association between a Customer and a Tariff.TariffTransaction ATariffTransaction
instance represents the kWh of energy consumed (kWh < 0
) or producedkWh > 0
by some members of a specific customer model, in a specific timeslot, under a particular tariff.TimeService This is the simulation time-keeper and event queue.Timeslot A timeslot instance describes an interval of time (slot) for which power may be traded in the wholesale market.TransactionFactory Constructs transaction objects in a way that guarantees that the correct data goes into the state log, without requiring unnecessary couplings on the part of transaction sources.WeatherForecast A collection of weatherForecastPredictions giving hourly forecasts for future timeslots.WeatherForecastPrediction A weather forecast report instance that describes the weather dataWeatherReport A weather report instance that describes the weather data for one hour of the simulationXMLMessageConverter Initializes the XStream message serialization system -
Enum Summary Enum Description CustomerInfo.CustomerClass RegulationRate.ResponseTime Tariff.State TariffTransaction.Type


Enter two dates below to see the difference in seconds.....
seconds
Did you ever wonder how many seconds you have lived on Earth. Prehaps how old you would be on another planet or life expectency on that planet. Fill out the form and see your results.
Disclaimer: All results are an estimation and currently do not take in account for many factors.
Your Current age on each Planet
Earth age in seconds
Age on Mercury
Age on Venus
Age on Mars
Age on Jupiter
Disclaimer: All results are an estimation and currently do not take in account for many factors.
Life Expectency on each Planet
Life Expectency on Earth
You have surpassed your Life Expectency. You are doing something right. Keep it up 👽


idlesync/dimensionMason
Use arrow keys to move.
Press space to enter portal or building.
Travel to other worlds and explore their dungeons.
Get the source code at
github
.


IDL source Global index
enum CapeExceptionCompleted { CapeCOMPLETED_YES, CapeCOMPLETED_NO, CapeCOMPLETED_MAYBE };
The definition of a completion status:
CapeCOMPLETED_YES the object implementation has completed processing prior to the exception being raised ,
CapeCOMPLETED_NO the object implementation was never initiated prior to the exception being raised,
CONSISTENCY_MAYBE the status of implementation completion is indeterminate.


TABLE OF INTERACTIONS WITH
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE)
From the French ANSM drug interactions document of
September 2016, pp. 216-217
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
ANTICONVULSANT ENZYME INDUCERS CLASS CODE: N03A-001 |
Decrease of the plasma concentrations and of the effectiveness of the theophylline due to increase of its hepatic metabolism by the inducer |
Precaution for use Clinical monitoring and, if needed, monitoring of the theophyllinemia. Possible adjustment of the dosage of the theophylline during the treatment with the inducer and after it is stopped. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
CIMETIDINE RxNorm: 2541 ATC: A02BA01 |
With the cimetidine used in doses greater than or equal to 800 mg/day: increase of the theophyllinemia with risk of overdose (decrease of the metabolism of the theophylline) |
Precaution for use Clinical monitoring and possibly monitoring of the theophyllinemia. If there is reason for it, adjustment of the theophylline during the treatment with the cimetidine and after it is stopped. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
CIPROFLOXACIN RxNorm: 2551 ATC: J01MA02 S01AE03 S02AA15 S03AA07 |
Increase of the theophyllinemia with risk of overdose, due to decrease of its hepatic metabolism by the ciprofloxacin. |
Precaution for use Clinical monitoring and possibly monitoring of the theophyllinemia. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
CLARITHROMYCIN RxNorm: 21212 ATC: J01FA09 |
Risk of increase of the theophyllinemia, particularly with children |
Take into account |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
DIPYRIDAMOLE RxNorm: 3521 ATC: B01AC07 |
With the dipyridamole by injection: reduction of the vasodilator effect of the dipyridamole by the theophylline |
Precaution for use Interrupt a treatment with theophylline at least 5 days before myocardial perfusion imaging with the dipyridamole. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
ENOXACIN RxNorm: 3925 ATC: J01MA04 |
Overdose of theophylline due to substantial decrease of its metabolism |
CONTRAINDICATION |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
ERYTHROMYCIN RxNorm: 4053 ATC: D10AF02 J01FA01 S01AA17 |
Overdose of theophylline due to decrease of its hepatic elimination, more particularly dangerous with children |
Not recommended |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
FLUCONAZOLE RxNorm: 4450 ATC: D01AC15 J02AC01 |
Increase of the theophyllinemia with risk of overdose (decrease of the clearance of the theophylline) |
Precaution for use Clinical monitoring and, possibly monitoring of the theophyllinemia; if there is reason for it, adjustment of the dosage of the theophylline during the treatment with the fluconazole and after it is stopped. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
FLUVOXAMINE RxNorm: 42355 ATC: N06AB08 |
Increase of the theophyllinemia with signs of overdose (decrease of the hepatic metabolism of the theophylline) |
Precaution for use Clinical monitoring and possibly monitoring of the theophyllinemia; if needed, adjustment of the dosage of the theophylline during the treatment with the fluvoxamine and after it is stopped. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
HALOTHANE RxNorm: 5095 ATC: N01AB01 |
Serious ventricular arrhythmias due to increase of cardiac sensitization |
Not recommended |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
XANTHINE OXYDASE INHIBITORS CLASS CODE: M04AA0 |
In case of large doses of the inhibitor, increase of the plasma concentrations of theophylline due to inhibition of its metabolism |
Precaution for use Clinical monitoring and testing of the theophyllinemia up to two or three weeks after the beginning of the treatment with the inhibitor; if there is reason for it, adjustment of the dosage during the treatment with these substances together. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
RITONAVIR BOOSTED PROTEASE INHIBITORS CLASS CODE: J05AE-002 |
Decrease of the plasma concentrations of the theophylline, due to increase of its hepatic metabolism |
Precaution for use Clinical monitoring and possibly monitoring of the theophyllinemia; if there is reason for it, adjustment of the dosage of the theophylline during the treatment with the protease inhibitor and after it is stopped. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
JOSAMYCIN RxNorm: 6084 ATC: J01FA07 |
Risk of increase of the theophyllinemia, particularly with children |
Take into account |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
MEXILETINE RxNorm: 6926 ATC: C01BB02 |
Increase of the theophyllinemia with risk of overdose (decrease of the hepatic metabolism of the theophylline) |
Precaution for use Clinical monitoring and possibly monitoring of the theophyllinemia; if there is reason for it, adjustment of the dosage of the theophylline during the treatment with the mexiletine and after it is stopped. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
ST JOHNS WORT Hypericum perforatum RxNorm: 258326 ATC: not found |
Decrease of the plasma concentrations of the theophylline, by reason of the enzymatic inducer effect of the St Johns wort, with risk of reduction of effectiveness, even complete loss of the effect, which can have possibly serious consequences (onset of an obstructive pulmonary syndrome) |
CONTRAINDICATION In case of accidental use of the substances together, do not stop the St Johns wort abruptly but test the plasma concentrations (or the effectiveness) of the substance taken with it before and then after stopping the St Johns wort. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
NORFLOXACIN RxNorm: 7517 ATC: J01MA06 S01AE02 |
Increase of the theophyllinemia with risk of overdose (decrease of the metabolism of the theophylline) |
Precaution for use Clinical monitoring, and possibly monitoring of the theophyllinemia. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
PEFLOXACIN RxNorm: 7960 ATC: J01MA03 |
Increase of the theophyllinemia with risk of overdose (decrease of the metabolism of the theophylline) |
Precaution for use Clinical monitoring and, possibly monitoring of the theophyllinemia. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
PENTOXIFYLLINE RxNorm: 8013 ATC: C04AD03 |
Increase of the theophyllinemia with risk of overdose (competition at the level of the hepatic metabolism of the theophylline) |
Precaution for use Clinical monitoring and possibly monitoring of the theophyllinemia; if there is reason for it, adjustment of the dosage of the theophylline during the treatment with the pentoxifylline and after it is stopped. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
RIFAMPICIN RxNorm: 9384 ATC: J04AB02 |
Decrease of the plasma concentrations and of the effectiveness of the theophylline (increase of its metabolism by enzymatic induction) |
Precaution for use Clinical monitoring, and, if needed, monitoring of the theophyllinemia. Adjust, if there is reason to, the dosage of the theophylline during the treatment with the rifampicin and after it is stopped. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
ROXITHROMYCIN RxNorm: 9478 ATC: J01FA06 |
Risk of increase of the theophyllinemia, particularly with children. |
Take into account |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
STIRIPENTOL RxNorm: 37119 ATC: N03AX17 |
Possible increase of the theophyllinemia, with risk of overdose, due to inhibition of its hepatic metabolism |
Precaution for use Clinical monitoring, plasma dosage, and possible adjustment of the dosage of theophylline. |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
TIABENDAZOLE RxNorm: 10450 ATC: D01AC06 P02CA02 |
Increase of the theophyllinemia with risk of overdose, due to decrease of the hepatic metabolism of the theophylline |
Precaution for use Clinical monitoring and possibly monitoring of the theophyllinemia; if there is reason for it, adjustment of the dosage of the theophylline during the treatment (and after it is stopped, in the case where the anthelmintic is prescribed for a period exceeding 48 hours). |
THEOPHYLLINE (AND, BY EXTRAPOLATION, AMINOPHYLLINE) CLASS CODE: R03DA |
TICLOPIDINE RxNorm: 10594 ATC: B01AC05 |
Increase of the theophyllinemia with risk of overdose (decrease of the plasma clearance of the theophylline) |
Precaution for use Clinical monitoring and possibly monitoring of the theophyllinemia; if there is reason for it, adjustment of the dosage of the theophylline during the treatment with the ticlopidine and after it is stopped. |


Hello, I'm Charles Seaver! I'm currently a senior at James Madison University majoring in engineering with minors in computer science, robotics, and mathematics. I plan on graduating in Spring of 2021 and then seeking out opportunities to gain more experience in the robotics/AI field.
During my undergraduate studies, I have been learning statics/dynamics, thermodynamics, circuits, etc. I've really been enjoying myself — solving mentally-stimulating problems have been stressful but always very rewarding. However, there was a point in which I felt like I was missing a piece of me that had a passion in computers. As a result, I decided to learn how to program during my freetime. I started learning Java and C++, and then I bought my first Arduino and raspberry pi. I had a lot of fun creating projects using these devices. During this time, I thought to myself that I wanted to pursue a career in robotics/AI or controls engineering, where I can combine my engineering and programming skills.
To help jumpstart my robotics career, I picked up a Robotics minor for my last year as an undergraduate. I will be taking courses covering autonomous robots, mobile robots, mechatronics, and artificial intelligence. These experiences will be updated on my portfolio as I journey through them.


{{selectedWeekDay | capitalize}}
{{selectedDayAndMonth.day}}
{{selectedDayAndMonth.month | capitalize}}
Events:
All
Completed
Active
{{event.title}}
Event list is empty...
Go today
{{year}}
Today
Back to today
{{nextMonthAsString | capitalize}}
{{month}}
{{previousMonthAsString | capitalize}}
{{day}}
{{date.dayNumber}}
{{date.weekDay}}
{{date.additional.year}}
{{date.additional.month}}
Events:
All
Completed
Active
{{event.title}}
Event list is empty...


You must import the plotting libraries and get some historical data to create line charts.
In this example, you create a line chart that shows the closing price for one of the banking securities. Follow these steps to create the line chart:
Symbol
.symbol = symbols[0]
history
DataFrame with the symbol
and then select the close column.data = history.loc[symbol]['close']
DataFrame
constructor with the data Series
and then call the reset_index
method.data = pd.DataFrame(data).reset_index()
line
method with data
, the column names of the x- and y-axis in data
, and the plot title.fig = px.line(data, x='time', y='close', title=f'{symbol} Close price')
show
method.fig.show()
The Jupyter Notebook displays the line chart.


{% include "upcoming_events.html" %}
{% extends "base_with_hero.html" %} {% block title %}Events{% endblock %} {% block hero %} {% include "hero_with_bg_img.html" with title="Events" subtitle="The CSUA hosts a large variety of social events, tech talks, networking events, workshops, and hackathons for the CS community." size="is-small" %} {% endblock %} {% block page_content %}


The goal of lbjdata is to …
You can install the released version of lbjdata from CRAN with:
install.packages("lbjdata")
This is a basic example which shows you how to solve a common problem:
library(lbjdata)
library(tidyverse)
#> ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ──
#> ✓ ggplot2 3.3.3 ✓ purrr 0.3.4
#> ✓ tibble 3.0.6 ✓ dplyr 1.0.4
#> ✓ tidyr 1.1.2 ✓ stringr 1.4.0
#> ✓ readr 1.4.0 ✓ forcats 0.5.0
#> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
#> x dplyr::filter() masks stats::filter()
#> x dplyr::lag() masks stats::lag()
library(janitor)
#>
#> Attaching package: 'janitor'
#> The following objects are masked from 'package:stats':
#>
#> chisq.test, fisher.test
library(highcharter)
#> Registered S3 method overwritten by 'quantmod':
#> method from
#> as.zoo.data.frame zoo
What is special about using README.Rmd
instead of just README.md
? You can include R chunks like so:
provider_types <- read_csv("https://genesis.soc.texas.gov/files/accessibility/vaccineprovideraccessibilitydata.csv") %>%
clean_names() %>%
group_by(type) %>%
summarise(tot_shipped = sum(total_shipped),
tot_avail = sum(vaccines_available)) %>%
drop_na() %>%
arrange(desc(tot_shipped))
#>
#> ── Column specification ────────────────────────────────────────────────────────
#> cols(
#> NAME = col_character(),
#> TYPE = col_character(),
#> TSA = col_character(),
#> STREET = col_character(),
#> CITY = col_character(),
#> COUNTY = col_character(),
#> ADDRESS = col_character(),
#> ZIP = col_character(),
#> LAST_UPDATE_VAC = col_character(),
#> LAST_UPDATE_TIME_VAC = col_time(format = ""),
#> PFIZER_AVAILABLE = col_double(),
#> MODERNA_AVAILABLE = col_double(),
#> VACCINES_AVAILABLE = col_double(),
#> Total_Shipped = col_double(),
#> PublicPhone = col_character(),
#> WEBSITE = col_character()
#> )
provider_types %>%
hchart("column", hcaes(x=type, y = tot_shipped, colors=type)) %>%
hc_add_theme(hc_theme_lbj()) %>%
hc_title(text="Vaccine Supply, By Type of Provider") %>%
hc_subtitle(text="Source: Texas Department of State Health Services")
You’ll still need to render README.Rmd
regularly, to keep README.md
up-to-date. devtools::build_readme()
is handy for this. You could also use GitHub Actions to re-render README.Rmd
every time you push. An example workflow can be found here: https://github.com/r-lib/actions/tree/master/examples.
You can also embed plots, for example:
In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.


Graphic Design with Rust
gdl is a high-performance Rust graphic design library that runs both natively and on the web.
gdl is a high-performance Rust graphic design library that runs both natively and on the web.
gdl is written in Rust, allowing for memory-safe code and blazing performance.
Create graphics rapidly with presets, and combine imagery to form collages.
Make use of elements in your designs, and add creative text effects.
[Coming Soon] For web-based graphic design, the web version of this lib will make use of the canvas and WASM.
gdl allows you to create social media graphics, banners, collages, and many other types of graphic.
You can also resize these graphics for various social media platforms, including Facebook, LinkedIn, Pinterest, and Twitter.
You can create a design in just 3 lines of code; the library is built with zero-cost abstraction in mind.
You can view the examples for more code.


Cranky Critic® movie reviews: Kirikou and the Sorceress Not Rated, 71 minutes Written by Michel Ocelot Directed by Michel Ocelot with Raymond Burlet website: www.kirikou.net
IN SHORT: An enchanting and delightful tale for kidlets and the li'l kidlet inside.
How does this figure? A French Guinea born animator takes a West African fairy tale, gets Peter Gabriel collaborator Youssou N'Dour to do the music and delivers the whole thing in an English dub to four American theaters where no one will see the thing. This is the curse of the indie flick, folk, and this is one of the times I'll screech about something that was delightful.
>From the first frame, you know that you're looking at a story that is, to say the lease, unusual. A very pregnant African sits. A voice comes from her belly saying "I am ready to be born now!" The soon to be mother replies "Any child that says to me it is ready to be born can do it himself" (I'm paraphrasing). So the kidlet crawls out of mom, snaps the umbilical with his hands and proclaims to the world "I AM KIRIKOU!" and walks away. Not only can he walk and talk, he can run at speeds akin to The Flash of comic book fame. The kidlet is adorable and the film is entrancing from the start.
Like all good fairy tales, there is an evil witch. In this case it is the Sorceress Karaba, who lives in a hut outside the village.  Karaba's lust is for all the gold of the village, and her demands are constant. Kirikou decides that he will end the threat of the Sorceress and, even more, discover why she hates the village so. It is a question that no one has thought to ask.
Again, like the good fairy tales, Kirikou gets help. From the plants and animals of the local forest. From a mystic wise man who lives at the end of a very dangerous trek through territory controlled by Karaba. With the knowledge he has gained, Kirikou's final confrontation with the sorceress is quite surprising.
The animation keeps the African feel of the story. The Masai natives are dressed according to their style (think National Geographic) but there is no sexual implication that could concern parents of tiny kidlets. N'Dour's music is a perfect complement to the story and, darn it, this kidlet is plain out adorable.
I can't tell you much about this flick. It's distribution is almost nil. Even if you have to search it out on tape, 'toonheads will want to see this beautifully told tale which, like all archetypal folk tales, finds its parallels in fables like Androcles and the Lion and intellectual explanations by Joseph Campbell. Long time readers know Cranky eats that stuff for breakfast, which means I walked out of the screening as one happy camper.
On average, a first run movie ticket will run you Eight Bucks. Were Cranky able to set his own price to Kirikou and the Sorceress, he would have paid...
$7.00
That release schedule I've got puts Kirikou and the Sorceress in New York on February 18, Chicago on March 10 and Northern California on March 24. Other than that, read the fine print in your newspapers. Badger your video stores. Find this flick.
The Cranky Critic® is a Registered Trademark of, and Copyright © 2000 by, Chuck Schwartz. All Rights Reserved. Cranky on the web at www.crankycritic.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


plot_prior_COI.Rd
Produce plot of the prior on COI for given parameters. Options include the uniform distribution, and a modified form of Poisson and negative binomial distribution (see details).
plot_prior_COI(COI_model = "poisson", COI_mean = 3, COI_dispersion = 2, COI_max = 20)
| COI_model | the type of prior on COI. Must be one of "uniform", "poisson", or "nb" (negative binomial) |
|---|---|
| COI_mean | the prior mean (before truncating at |
| COI_dispersion | the ratio of the variance to the mean of the prior on COI. Only applies under the negative binomial model. Must be >1 |
| COI_max | the maximum COI allowed. Distributions are truncated at this value |
The prior on COI can be uniform, Poisson, or negative binomial. In
the uniform case there is an equal chance of any given sample having a COI
between 1 and COI_max
(inclusive). In the Poisson and negative
binomial cases it is important to note that the distribution is over
(COI-1), rather than over COI. This is because both Poisson and negative
binomial distributions allow for 0 values, which cannot be the case here
because observed samples must contain at least 1 genotype. Poisson and
negative binomial distributions are also truncated at COI_max
.
The full probability mass distribution for the Poisson case with
COI_mean
\( = \mu\) and COI_max
\( = M\) can be written
$$ Pr(COI = n) = z (\mu-1)^(n-1) exp(-(\mu-1)) / (n-1)! $$ where \(z\)
is a normalising constant that ensures the distribution sums to unity, and
is defined as: $$1/z = \sum_{i=1}^M (\mu-1)^(i-1) exp(-(\mu-1)) /
(i-1)! $$
The mean of this distribution will generally be very close to \(\mu\), and the variance will be close to \(\mu-1\) (strictly it will approach these values as \(M\) tends to infinity).
The full probability mass distribution for the negative binomial case with
COI_mean
\( = \mu\), COI_dispersion
\( = v/\mu\) and
COI_max
\( = M\) can be written $$ Pr(COI = n) = z
\Gamma(n-1+N)/( \Gamma(N)(n-1)! ) p^N (1-p)^(n-1) $$ where \(N =
(\mu-1)^2/(v-\mu+1)\), \(p = (\mu-1)/v\), and \(z\) is a normalising
constant that ensures the distribution sums to unity, and is defined as:
$$1/z = \sum_{i=1}^M \Gamma(i-1+N)/( \Gamma(N)(i-1)! ) p^N (1-p)^(i-1)
$$
The mean of this distribution will generally be very close to \(\mu\) and the variance will be close to \(v\) (strictly it will approach these values as \(M\) tends to infinity).


We redefine cats!
- syndicate efficient users
- synthesize synergistic synergies
- integrate real-time portals
- disintermediate cross-platform deliverables
- e-enable B2C experiences
- target ubiquitous portals
- mesh user-centric infomediaries
- empower leading-edge platforms


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setAbout(String)
- Method in class Cosm.
User
setAccessMethods(AccessMethod[])
- Method in class Cosm.
Permission
setApikey(String)
- Method in class Cosm.
Apikey
setAt(String)
- Method in class Cosm.
Datapoint
setAt(String)
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setAt(String)
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Waypoint
setBlue(int)
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Color
setCreateableRoles(String[])
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User
setCreated(String)
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Feed
setCreator(String)
- Method in class Cosm.
Feed
setCurrentValue(String)
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Datastream
setDailyApiAccessCount(Integer)
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User
setDatastreamId(String)
- Method in class Cosm.
Resource
setDatastreams(Datastream[])
- Method in class Cosm.
Feed
setDatastreamsAllowed(Integer)
- Method in class Cosm.
User
setDatastreamsCount(Integer)
- Method in class Cosm.
User
setDeliverEmail(Boolean)
- Method in class Cosm.
User
setDescription(String)
- Method in class Cosm.
Feed
setDisplayActivity(Boolean)
- Method in class Cosm.
User
setDisplayInformation(Boolean)
- Method in class Cosm.
User
setDisplayStats(Boolean)
- Method in class Cosm.
User
setDisposition(Disposition)
- Method in class Cosm.
Location
setDomain(Domain)
- Method in class Cosm.
Location
setElevation(String)
- Method in class Cosm.
Location
setElevation(Double)
- Method in class Cosm.
Location
setEmail(String)
- Method in class Cosm.
Feed
setEmail(String)
- Method in class Cosm.
User
setEmailHash(String)
- Method in class Cosm.
User
setEnvironmentId(Integer)
- Method in class Cosm.
Trigger
setErrors(String)
- Method in class Cosm.
Feed
setExpiresAt(String)
- Method in class Cosm.
Apikey
setExposure(Exposure)
- Method in class Cosm.
Location
setFeed(String)
- Method in class Cosm.
Feed
setFeedId(String)
- Method in class Cosm.
Resource
setFeeds(Integer[])
- Method in class Cosm.
Group
setFeedsCount(Integer)
- Method in class Cosm.
User
setFullName(String)
- Method in class Cosm.
User
setGreen(int)
- Method in class Cosm.
Color
setGroupid(String)
- Method in class Cosm.
Group
setIcon(String)
- Method in class Cosm.
Feed
setId(String)
- Method in class Cosm.
Datastream
setId(Integer)
- Method in class Cosm.
Feed
setId(String)
- Method in class Cosm.
Trigger
setLabel(String)
- Method in class Cosm.
Apikey
setLabel(String)
- Method in class Cosm.
Group
setLabel(String)
- Method in class Cosm.
Permission
setLabel(String)
- Method in class Cosm.
Unit
setLat(String)
- Method in class Cosm.
Location
setLat(Double)
- Method in class Cosm.
Location
setLat(Double)
- Method in class Cosm.
Waypoint
setLocation(Location)
- Method in class Cosm.
Feed
setLogin(String)
- Method in class Cosm.
User
setLon(String)
- Method in class Cosm.
Location
setLon(Double)
- Method in class Cosm.
Location
setLon(Double)
- Method in class Cosm.
Waypoint
setMaxValue(String)
- Method in class Cosm.
Datastream
setMembers(String[])
- Method in class Cosm.
Group
setMinimumInterval(String)
- Method in class Cosm.
Permission
setMinValue(String)
- Method in class Cosm.
Datastream
setName(String)
- Method in class Cosm.
Location
setNotifiedAt(String)
- Method in class Cosm.
Trigger
setOrganisation(String)
- Method in class Cosm.
User
setOwner(String)
- Method in class Cosm.
Group
setPermissions(Permission[])
- Method in class Cosm.
Apikey
setPrivate(Boolean)
- Method in class Cosm.
Feed
setPrivateAccess(Boolean)
- Method in class Cosm.
Apikey
setPrivateFeed(Boolean)
- Method in class Cosm.
Feed
setProvisioningEnabled(Boolean)
- Method in class Cosm.
User
setReceiveForumNotifications(Boolean)
- Method in class Cosm.
User
setRed(int)
- Method in class Cosm.
Color
setReferer(String)
- Method in class Cosm.
Permission
setResources(Resource[])
- Method in class Cosm.
Permission
setRoles(String[])
- Method in class Cosm.
User
setSourceIp(String)
- Method in class Cosm.
Permission
setState(UserState)
- Method in class Cosm.
User
setStatus(Status)
- Method in class Cosm.
Feed
setStreamId(String)
- Method in class Cosm.
Trigger
setSubscribedToMailings(Boolean)
- Method in class Cosm.
User
setSymbol(String)
- Method in class Cosm.
Unit
setTags(String[])
- Method in class Cosm.
Datastream
setTags(String[])
- Method in class Cosm.
Feed
setThresholdValue(String)
- Method in class Cosm.
Trigger
setTimeZone(String)
- Method in class Cosm.
User
setTitle(String)
- Method in class Cosm.
Feed
setTotalApiAccesCount(Integer)
- Method in class Cosm.
User
setType(TriggerType)
- Method in class Cosm.
Trigger
setType(String)
- Method in class Cosm.
Unit
setUnit(Unit)
- Method in class Cosm.
Datastream
setUpdated(String)
- Method in class Cosm.
Feed
setUrl(String)
- Method in class Cosm.
Trigger
setUser(User)
- Method in class Cosm.
Feed
setUser(String)
- Method in class Cosm.
Trigger
setValue(String)
- Method in class Cosm.
Datapoint
setVersion(String)
- Method in class Cosm.
Feed
setWaypoints(Waypoint[])
- Method in class Cosm.
Location
setWebsite(String)
- Method in class Cosm.
Feed
setWebsite(String)
- Method in class Cosm.
User
Status
- Enum in
Cosm
suspendEncoding()
- Method in class Cosm.Client.
Base64.OutputStream
Suspends encoding of the stream.
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Dutch Police Detain Two Teens in Train Shooting Investigation
THE HAGUE, Netherlands (AP) — Dutch police say they have detained two 15-year-old boys in an investigation into the possible shooting of two trains.
by Breitbart LondonPolice in the southern city of Breda tweeted late Friday that the boys had BB pistols with them when they were detained on suspicion of damaging the trains.
Authorities launched an investigation after windows were damaged on a passenger train traveling from the city of Tilburg to nearby Breda, close to the border with Belgium, and on another train that arrived in Eindhoven.
Police tweeted that both trains “could possibly have been shot.”
Nobody on either train was injured.


http://www.speakers-podium.com/susangranger.
Susan Granger's review of A STIR OF ECHOES (Artisan Entertainment)
If you enjoyed "The Sixth Sense," you're gonna want to see this supernatural thriller starring Kevin Bacon as a Chicago telephone lineman who discovers horror lurking under his own roof after he's hypnotized by his sister-in-law (Illeana Douglas) at a neighborhood party. At first, Bacon's skeptical. He doesn't believe in mental games, nor in ghosts. But when he hears his five year-old son (Zachary David Cope) casually say, "Does it hurt to be dead?" to an unseen apparition, he knows something's wrong. Then he "sees" a deathly pale, terrified teenage girl who "disappeared" months earlier; she's a vision, not real, but how did this tortured soul get on his living-room sofa? And who will believe him?  Not even his defensive sister-in-law, who insists she only planted an innocent post-hypnotic suggestion into his subconscious. Based on a 1958 novel by Richard Matheson ("Somewhere in Time," "What Dreams May Come"), screenwriter/director David Koepp cleverly builds the suspense slowly, through character development not carnage, keeping the action low-key and quite plausible. But many clues are revealed too early, and it's quite reminiscent of Bacon's earlier film, "Flatliners," along with "The Amityville Horror," even "The Shining." On the Granger Movie Gauge of 1 to 10, "A Stir of Echoes" is a creepy 7. It's an eerie, intriguing early Fall chiller.
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Gatekeeper Minerva:
Are you kidding?  Did you think there would be no consequence of your actions? I cannot send you through the Gate of Space and Time. You must find another method of transport.


ABAP Quick Fixes - Change INSERT INTO to INSERT VALUE #( ) INTO
Using this quick fix, you can combine subsequent assignment of variables with INSERT INTO statement at the end, to one single INSERT VALUE statement.
No selection of the whole block is required.
It's very useful in case of old ALV field-catalog preparation coding or for RANGES


Humanizing your Insurance
You can use either use the social icons provided or load in a font icon library. Some library suggestions can be found below:
You can use either use the social icons provided or load in a font icon library. Some library suggestions can be found below:


/** \mainpage SDF API Reference This documentation provides useful information about the Simulation Desctiption Format API. The code reference is divided into the groups below. Should you find problems with this documentation - typos, unclear phrases, or insufficient detail - please create a new bitbucket issue. Include sufficient detail to quickly locate the problematic documentation, and set the issue's fields accordingly: Assignee - blank; Kind - bug; Priority - minor; Version - blank.