AWS Lambda Use Cases to Start Your Serverless Journey
Many big companies such as Netflix, Conde Nast and NY Times are migrating their compute services to serverless. But sometimes the cloud architects are confused about the application of serverless technologies such as AWS Lambda and Azure functions.This blog explains 10 AWS Lambda Use Cases to help you get started with serverless. Some of the use cases are Serverless Website,App Authentication,Mass Emailing, Real-time Data Transformation, CRON Jobs,Chatbot,IoT.
Netflix, Mapbox, A Cloud Guru, BlackBoard, Conde Nast, and New York Times. Do you know what these companies have in common?
All migrated to serverless architecture and have immensely benefitted from this decision.
At the recently held ServerlessConf, ‘A Cloud Guru’ gave a proof of serverless promise saying they were never required to change their architecture due to performance reasons. They are running 287 Lambda functions, 19 microservices with 3.68 TB of data at the mere cost of $580 per month. Read that again!
Why we use AWS Lambda?
AWS Lambda removes the need for the traditional compute services, thus reducing operational costs and complexity. This results in many benefits such as faster development, easier operational management, scaling, and reduction in operational costs.
Moreover if you have frequent changes in memory usage, Lambda takes care of that as well. It has “Pay as you go” model whose billing is based on used memory, number of request and execution duration rounded up to nearest 100 milliseconds. Its huge leap forward in comparison to EC2.
We are well aware of how serverless helps in elevating our focus to more business-critical tasks by empowering developers and offering cost-friendly solutions. However, we have still observed confusion among people who want to get started with serverless adoption but don’t know where, when and how! This blog post is about them.
Let’s start unfolding each of them with practical examples and benefits it brings to the organizations as well as development teams.
- Serverless Website Example with AWS Lambda
- Serverless Authentication Using AWS Cognito
- Multi-Location Media Transformation
- Mass Emailing using AWS Lambda & SES
- AWS Lambda Use Case for Real-time Data Transformation
- Serverless CRON Jobs*
- AWS Lambda Use Case for Efficient Monitoring
- Real-time Notifications with AWS Lambda and SNS
- Building a Serverless Chatbot
- Serverless IoT Backend
#1. Serverless Website Example with AWS Lambda
Maintaining a dedicated server is outdated, in fact, even a virtual server. Not only it’s tiresome but provisioning the instances, updating the OS, etc. takes a lot of time and distracts you from focusing on the core functionalities.
AWS Lambda along with other AWS services can be used to build a powerful website without having to manage a single server or an operating system. For a basic version, we will use AWS API Gateway, DynamoDB, Amazon S3 and Amazon Cognito User Pool.
The components used here are used for executing the following functionalities:
- JavaScript in the browser exchanges the data from a backend API built through API Gateway and AWS Lambda.
- DynamoDB is a NoSQL database which is used for storing data through API’s Lambda function.
- Amazon S3 is used for hosting the static website content like HTML, media files, CSS, JavaScript which acts as a front end in the user’s browser.
- Amazon Cognito is used for user authentication and management with the help of secured backend API.
The architecture here depicts a basic version of a serverless website. It can be elaborated into a full-fledged multi-functional website by adding other AWS services. Some of the distinguished examples of Serverless websites are:
- Serverless E-commerce Website which uses AWS Lambda use cases for payment management, cart management and recommendation engine.
- Serverless Dynamic Web Page built using two Lambda functions to monitor internal services at Monsanto.
- Serverless Single Page Website a practical example to develop a low latency website with Lambda functions, S3 and CloudFront.
- Bustle.com (news & entertainment website run entirely on serverless) More information can be found here.
#2. Serverless Authentication Example Using AWS Cognito Whether you’re running New York Times or a personal blog, personalization plays a huge role when you interact with your users. Amazon Cognito when used with AWS Lambda, can empower you to add pre and post-login hooks to execute your custom logic.
After creating an AWS Lambda function, you can trigger it based on various user pool operations such as user sign-up, user confirmation, sign-in, etc. Not only that, you can experiment with your authentication procedure and make it more challenging, migrate the users and send out personalized verification messages, to name a few.
The following are the common triggering sources from where you can hook your Lambda function:
- Sign-up, confirmation and sign-in
- Pre and post authentication
- Custom authentication challenge
- Pre token generation
- Migrate user
- Custom message
Let’s understand how custom message works. Amazon Cognito will trigger your Lambda function before sending an email or phone verification text or multi-factor authentication which allows you to customize the message as per the requirements. The triggering source for the custom message are:
- Confirmation code post-sign-up
- Temporary password for new users
- Resending confirmation code
- Confirmation code to forget password request
- Manual request for new email/phone
- Multi-factor authentication
#3. AWS Lambda Use Case for Multi-Location Media Transformation
With the rising number of global viewership, we all know how difficult a task it is to facilitate media files in multiple formats on multiple locations. With the prerequisite of least processing time, reducing the latency and minimizing the bandwidth is important than ever. Here are some common scenarios which you might have come across:
- Resizing image based on the query parameter
- Serving appropriate file format based on browser characteristics, for example, WebP for Chrome/Android browsers and JPEG for the rest
- Defining whitelist of dimensions to be generated
This problem can be simplified with the help of Lambda@Edge and CloudFront. This process can be executed by adding four Lambda triggers to CloudFront. Here’s how it works:
- Lambda 1 (viewer request): This function is executed to serve the media file in the requested format from the CloudFront cache. No further functions will be executed.
- Lambda 2 (origin request): If the requested format is not available, this function fetches the media file with requested configurations from the Amazon S3 bucket and cache it to CloudFront. If the file doesn’t exist, Lambda 3 executed.
- Lambda 3 (origin response): This function makes a network call which fetches the original image from the S2 bucket, transforms it as per the requirement and uploads it back.
- Lambda 4 (viewer response): This function serves the requested media file from the CloudFront cache.
Note: Lambda 2,3 and 4 are executed only when the requested media file isn’t available in the cache. Here’s more you can do with Lambda@Edge:
- Inspect cookies and rewrite URLs to perform A/B testing.
- Send specific objects to your users based on the User-Agent header.
- Implement access control by looking for specific headers before passing requests to the origin.
- Add, drop, or modify headers to direct users to different cached objects.
- Generate new HTTP responses.
- Cleanly support legacy URLs.
- Modify or condense headers or URLs to improve cache utilization.
- Make HTTP requests to other Internet resources and use the results to customize responses.
#4. Mass Emailing using AWS Lambda & SES New York Times sends our 4 Billion emails per year which includes newsletters, breaking news and transactional emails. Mass mailing is an integrated part of marketing services for any organizations. Traditional solutions often require hardware expenditure, license costs and technical expertise.
With AWS Lambda and Simple Email Service SES, you can build a cost-effective and in-house serverless email platform. Along with S3 (where your mailing list will be stored) you can quickly send HTML or text-based emails to a large number of recipients.
Whenever a user uploads a CSV file, it triggers an S3 event. This event triggers another Lambda function which imports the file into the database and will start sending email to all the addresses. For sending our scheduled newsletters, you can integrate it with CloudWatch Events.
Here’s an example of MoonMail’s (email marketing platform) serverless technology stack built using AWS Lambda use cases and SES. The primary reason for them to switch to serverless is extremely fast performance and infinite scalability.
#5. AWS Lambda Use Case for Real-time Data Transformation
Amazon Kinesis Firehose is basically used for writing real-time streaming data to Amazon S3, Redshift or Elasticsearch. But business requirements have changed over the time.
Sometimes it is required to amend or restructure the raw data for before writing it to the destination. Some of the common use cases that have emerged over the time are:
- Normalize the data acquired from different touchpoints
- Adding metadata to the recorded data
- Converting or restructuring the data as per the destination prerequisites
- Performing ETL functionality
- Combine data from another data source
Fulfilling such requirements is now possible with AWS Lambda use cases. It helps you create a powerful and scalable way to execute data transformations on the clickstream data.
After buffering the incoming data from the source destinations, Firehose invokes a Lambda function asynchronously over a specified batch period. This Lambda function transforms the data as per the custom logic and sends it back to Firehose. From here, the data is written to the specified destination.
Along with this, you also have an option to store the raw data (source data backup) to S3 and create a raw data lake before transforming. This process happens concurrently along with your data transformation.
To help you get started with this functionality, AWS provides you with predefined Lambda blueprints in the following format.
- Syslog to JSON
- Syslog to CSV
- Apache Log to JSON
- Apache Log to CSV
- General Firehose Processing
With 5 more use cases left in the Serverless journey, I expect some of you to be slightly anxious of the cost of running a serverless application.
#6. Serverless CRON Jobs Example
CRON or scheduled jobs which are executed based on different parameters are used widely for executing simple time-based tasks. CloudWatch Events now supports cron-like expressions which can be used to trigger a Lambda function periodically.
Simply create a Lambda function and direct AWS Lambda to execute it on a regular schedule by specifying a fixed rate or cron expression. While creating your Lambda function, you need to provide CloudWatch Events as an event source and specify a time interval. For example, create a new event every y and invoke this Lambda function with it. Some real-life use case could be:
- If you are running a membership site where accounts have an expiration date, you can schedule a cron job to regularly deactivate the expired account
- Sending out the newsletter on fixed timings
- Cleaning up the database cache on the regular interval
Here’s an example to help you get started with CRON jobs in CloudWatch and AWS Lambda with Node.Js
#7. AWS Lambda Use Case for Efficient Monitoring CloudWatch Events delivers a real-time stream of system events that depicts changes in AWS resources. Before the CloudWatch was launched as an event source, you needed to use the CloudWatch Event console or APIs to integrate it with Lambda.
By creating CloudWatch Event rules, you can monitor and create Lambda functions for processing. Two general scenarios where you can use this possibility:
-
Alarm Threshold Breaches: Let’s imagine where your CPU is running beyond its specified limits or you’re seeing more/ fewer events than what you’re expecting, CloudWatch can trigger a Lambda function for you which will notify the team through an email or terminate the underperforming resources.
-
Cloudwatch Logs: To monitor the incoming CloudWatch logs in realtime, by integrating it with a function which will keep track of any anomaly and notify the team if detected or you can program it to write these logs to your database for a backup.
#8. Real-time Notifications with AWS Lambda & SNS Real-time notification saves a lot of our manual work and we all know how inevitable they are in our hyper-connected world. ChatOps is becoming the most effective procedure to DevOps. Saying that it’d be an added advantage to receive real-time notifications on 3rd-party platforms like Slack.
When using SNS, you create a topic and control access to it by defining policies that determine the subscribers and publishers to be communicated with the topic. When an SNS topic has Lambda function subscribed to it, it invokes the function with the payload of a published message.
Upon invocation, the function can manipulate the information in the message, publish the message to the other SNS topics and/or send the message to other AWS services or endpoints.
An interesting example is to receive your infrastructural alerts as a Slack notification. Whenever a CloudWatch alarms trigger, it will send a message to the SNS topic. Upon receiving the message, SNS topic will invoke a Lambda function which will call the Slack API to post a message to Slack channel.
#9. AWS Lambda Use Case for Building Serverless Chatbot Building and running chatbots is not only time consuming but expensive also. Developers must provision, run and scale the infrastructural resources that run the chatbot code. However, with AWS Lambda you can run a scalable chatbot architecture. Here’s how to get started:
- Enter your code logic to the Lambda function.
- Set up your code to trigger when user commands are sent to the bot. The commands are API requests (from Slack, Messenger, etc) routed through API Gateway to Lambda function.
- Lambda runs only when it is commanded and hence using the resources when needed. You pay for the time it runs your code.
#10. Serverless IoT Backend Scaling an IoT device fleet to hundreds and thousands of devices isn’t an easy job. Along with that, it is somewhat challenging to extract the details for multiple devices in a single solution.
Suppose your fleet of devices here are smart light bulbs, internet-connected robot, music player, etc. and you want to register specific information for all of them in your database.
As shown in the above diagram, you can create AWS IoT rules to trigger specific device registration logic using Lambda function to the DynamoDB table. Along with this, you can use an another Lambda function which will search the database for device-specific serial number and a randomly generated activation code to activate your device.
In this similar manner, you can create your own IoT backend solution and logic instead of managing the infrastructure.
Also, you can use AWS IoT 1-Click with AWS Lambda use cases to create business logic as per your requirements. This was launched at AWS re-Invent 2017 and since then people have been coming up with creative ways to use it. This works over the common WiFi platform and executes a customized Lambda function on triggering.
Take Away! Presently, AWS Lambda use cases include workloads that are asynchronous, concurrent, infrequent, in sporadic demand, unpredictable traffic in scaling requirements, stateless, ephemeral and highly dynamic. That might sound like a lot in a single sentence, I understand.
Confused regarding where to start?  Or want more serverless examples to help you get started? Connect with me on Twitter @GGodage or send me an email on<EMAIL_ADDRESS>Though serverless examples serve for diverse use cases, it might not come off as the perfect solution always. But one thing is for sure, if you have a specific use case which has dominated the enterprise environment and you’re looking forward to moving towards a utility-based computing service model, you’re on the right path!


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Write a Python package¶
Developer Guide¶
-
LSST的数据管理系统的开发指南是天文领域里非常具有参考价值的
Python编程风格：DM Python style guide
类似的还有 SKA develop portal (建设中…)
Structure¶
“Dress for the job you want, not the job you have.”
-
从组织文件到代码结构，比较好的入门阅读
How To Package Your Python Code
可读性也很强: aims to put forth an opinionated and specific pattern to make trouble-free packages for community use
-
一个很好的组织基于数据的项目的例子，其中关于“Keep secrets and configuration out of version control”的部分很有用。
Code Format¶
It is good practice to follow well-established code format. Not only it can help you write codes that are nice looking and easy to maintain, it will help others to read and contribute to the code.
For Python, the PEP8 style guide is the most important one. Some of these rules feel unecessary and annoying, but there are always good reasons behind them.
autopep8: A tool that automatically formats Python code to conform to the PEP 8 style guide
black: The uncompromising Python code formatter
Blackened code looks the same regardless of the project you’re reading. Formatting becomes transparent after a while and you can focus on the content instead.
setup.py¶
A Human’s Ultimate Guide to setup.py
This is very good template for using setup.py
Readme¶
-
中文版 基本上，想学习如何写好Readme看这篇就够了
readme-md-generator - CLI that generates beautiful README.md files
readme-md-generator will suggest you default answers by reading your package.json and git configuration.
Document¶
General instructions¶
Writing change-controlled documentation
Manual provided by LSST DM team
LSST DM的Documenting Python APIs with Docstrings
Also very good example by LSST DM. LSST adopts the Numpydoc format.
Tools¶
sphinx - Python documentation generator
Sphinx is a tool that makes it easy to create intelligent and beautiful documentation.
Sphinx uses reStructuredText as its markup language, and many of its strengths come from the power and straightforwardness of reStructuredText and its parsing and translating suite, the Docutils.
On Markdown v.s. reStructuredText: Markdown is easy to use; reStructuredText is more extensible and powerful.
Sphinx Tutorial by Eric Holscher is the best place to start. The GitHub repo itself is a very good example.
pandoc - A universal document converter
If you need to convert files from one markup format into another, pandoc is your swiss-army knife. e.g. It can convert reStructuredText to/from Markdown.
rinohtype - The Python document processor
Rinohtype is a document processor in the style of LaTeX. It renders structured documents to PDF based on a document template and a style sheet.
A Simple Tutorial on How to document your Python Project using Sphinx and Rinohtype
Doxygen - Generate documentation from source code
Doxygen is the de facto standard tool for generating documentation from annotated C++ sources, but it also supports other popular programming languages such as C, Objective-C, C#, PHP, Java, Python, IDL.
Read the Docs - Technical documentation lives here
Read the Docs simplifies software documentation by automating building, versioning, and hosting of your docs for you.
Test¶
Testing Your Code from the Hitchhiker’s Guide to Python
A nice summary of multiple approaches of unit test in Python.
Getting Started With Testing in Python from RealPython
Another very nice introduction, convering unittest, pytest, and nose.
LSST DM: Python Unit Testing Guide
LSST DM standard is a very good example：LSST tests should be written using the unittest framework, with default test discovery, and should support being run using the pytest test runner
unittest — Unit testing framework
Basic unit test in Python. The list of assertion methods is here
pytest - helps you write better programs
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries.
Examples and customization tricks for pytest: this is very useful.
-nose2 - Nicer testing for Python * nose2’s purpose is to extend unittest to make testing nicer and easier to understand.
Code Coverage¶
In computer science, test coverage is a measure used to describe the degree to which the source code of a program is executed when a particular test suite runs. A program with high test coverage, measured as a percentage, has had more of its source code executed during testing, which suggests it has a lower chance of containing undetected software bugs compared to a program with low test coverage. – Wikipedia
Coverage.py - Code coverage testing for Python
Coverage.py measures code coverage, typically during test execution. It uses the code analysis tools and tracing hooks provided in the Python standard library to determine which lines are executable, and which have been executed.
Codecov - Empower developers with tools to improve code quality and testing
It is web service that improves your code review workflow and quality. Free for open source. Plans starting at $2.50/month per repository. You can login with your GitHub or Bitbucket account.
Optimization¶
Optimizing Python Code - Scipy Lecture Notes
Make it work; 2: Make it work reliably; 3: Optimization
No optimization without measuring: profiling and timing
Moving computation or memory allocation outside a for loop; Vectorizing for loops; Broadcasting; Use in place operations; Be easy on the memory: use views, and not copies;
LSST DM Python performance profiling
Very good guide.
-
Python comes with a series of profiling tools. The most useful ones are cProfile, profile, and pstats (convert profiling results into a report)
Profiling Python using cProfile: a concrete case
cProfile 对于发现程序中的瓶颈很有帮助
line_profiler and kernprof - Line-by-line profiling for Python
line_profiler is a module for doing line-by-line profiling of functions. kernprof is a convenient script for running either line_profiler or the Python standard library’s cProfile or profile modules, depending on what is available.
Can use cProfile to identify “hotspot” (function that is the “bottleneck”), then use line_profiler to exame the issue carefully.
Visualization¶
gprof2dot - Converts profiling output to a dot graph
A general tool to convert different profiling software output to a dot graph.
SnakeViz - An in-browser Python profile viewer
SnakeViz is a viewer for Python profiling data that runs as a web application in your browser.
pycallgraph - Python module that creates call graphs for Python programs
No longer maintained by the original author, but still available through a fork: pycallgraph2


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The Mahalo app transfers data to and from the Twitch video platform. It may transfer technical information about a user's system to Hockeyapp and Microsoft for the purposes of error reporting and app analytics.
Third-party services
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| Document Name: | RFC 9163 |
|---|---|
| Document URI: |
urn:ietf:rfc:9163
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| Online Version: |
https://datatracker.ietf.org/doc/html/rfc9163
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| Organization: | Internet Engineering Task Force (IETF) |
| Series: | Request for Comments (RFC) |
| Abstract: | This document defines a new HTTP header field named "Expect-CT", which allows web host operators to instruct user agents (UAs) to expect valid Signed Certificate Timestamps (SCTs) to be served on connections to these hosts. Expect-CT allows web host operators to discover misconfigurations in their Certificate Transparency (CT) deployments. Further, web host operators can use Expect-CT to ensure that if a UA that supports Expect-CT accepts a misissued certificate, that certificate will be discoverable in Certificate Transparency logs. |
Expect-CT
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Kogi: APC Deputy Governorship Candidate Wins Polling Unit
by George OgboluThe Deputy Governorship candidate of the All Progressives Congress (APC) in Kogi State, Edward Onoja, has won his polling unit.
Onoja, who was the former Chief of Staff to Governor Yahaya Bello, voted on Saturday at unit 13, ward 3, Omonyoku-Odidoko, Ogugu-Olamaboro Local Government Area of Kogi.
PU13, Ward 3 Omonyoku-Odidoko, Ogugu LGA
APC: 934
PDP: 0
Naija News reports that Yahaya Bello also defeated Natasha Akpoti, the candidate of the Social Democratic Party (SDP) at her polling unit by two votes.
Below is the result:
APC: 78
SDP: 76


SM2015 weather and geolocating data from http://www.wunderground.com icons: https://erikflowers.github.io/weather-icons


As expected, the weather becomes significantly warmer as one approaches the equator(0 Deg. Latitude). More interestingly, however, is the fact that the southern hemisphere tends to be warmer this time of year than the northern hemisphere. This may be due to the tilt of the earth at the time of the year this data was gathered.


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Memo team profiles: @memo, @jason
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I'm currently a final year Computer Science undergraduate student at St. Thomas' College of Engineering & Technology, India. I aim to acquire my PhD in Computer Science and aspire to be a professor in the future. I love learning new things every now and then and stick to my new year resolutions. Someday, I would also like to pursue a career in baking and run my own cafe.
Bachelor of Technology St. Thomas' College of Engineering & Technology (2015-2019)
Doctor of Philosophy Oregon State University (2019-present)
Graduate assistant at Oregon State University
Summer intern at IIT Kharagpur
2018 |
Detection and Classification of Earthquake Images from Online Social MediaAccepted in Computational Intelligence in Pattern Recognition,2019,Springer. Check out my paper here. |
A model was trained using 50000 training and 10000 testing images of 32*32 dimensions each to classify a region as text or non-text. The code was implemented in MATLAB using MatConvNet, which is a MATLAB toolbox implementing CNNs for computer vision applications. My work has been uploaded to my Github.
To cope with the demand for faster service, the concept of Fog computing was introduced to the existing sensor-cloud architecture. This aims to increase end user satisfaction by handling some time-critical applications in the fog nodes, to render faster services. Check out my work here.
As a part of my final year project, I am defining an algorithm which produces better results in medical imaging techniques than existing algorithms. I have implemented various edge detection techniques. As of now, I am working on segmentation of MRI images. My work has been upladed to my Github.
A data science project, in which a passenger dataset has been analysed, by applying various Machine learning models, to predict which passengers survived a certain disaster. Add another line here to make all the blocks equal in size. The code has been uploaded to my Github.


Getting Started
Entities
Levels
Introduction
What is Total AI?
Watch Quick Overview Video
TAI is currently in Alpha and is available for FREE on
Total AI (TAI) is a complete open source agent AI Framework for Unity.
Its goals are to provide an easy to prototype, flexible, fully customizable, and performant
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It is also easy to extend and customize through
ScriptableObject's pluggable data and logic ability.
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General AI Framework
Total AI is designed to be flexible to accomodate many different types and hyprids of AI Logic.
In fact each Agent in your game could be using a different type of AI. This is due to how all of the key
logic for an Agent is in Types that inherit from Scriptable Objects with the two key types being the Decider Type
and the Planner Type. Every agent gets its base configuration from its Agent Type but it can then use
Agent Type Overrides to change that setup configuration. Thus every Agent even if they are of the same Agent Type
can be using different AI Logic.
The following AI Types are currently implemented or are planned:
- Finite State Machines
- Utility AI
- Goal Oriented Action Planning
- Deep Reinforcement Learning (Planned)
Type System
The Type System is at the core of TAI. Most objects and an object's levels have a type associated with them. For example, An Agent has an Agent Type and an Agent's Attribute has an Attribute Type. These types not only define what the object is and its starting configuration but also inform TAI that this type can be used in certain Mapping Types (core unit of planning).
Entities
An Entity actual exists in the World. It will be a Game Object with a subclass of Entity Component. For Example,
an Agent will always have an Agent Component. Agent inherits from Entity which inherits from MonoBehaviour.
Also every Entity has an Entity Type. Entity Type inherits from Input Output Type which inherits from Scriptable Object.
Similar to how Agent inherits from Entity, Agent Type inherits from Entity Type.
There are currently three types of Entities:
- Agent: Only Entity that can plan and act in the world.
- World Object: Any Entity that can't plan or act. Can be built or grow and can have states.
- Agent Event: A multi-Agent coordinated event. Can add Roles to Agents to force them to only have certain Actions and Drives.
Levels
Levels are properties of Entities and have an associated level (usually a float value) and a Level Type. Default Level Types exist on Entity Types and Levels exist on Entities. For example, An Agent Type defines the default Level Types and the default Level values for an Agent. There are currently five Levels:
- Drive: Drives are motivation for an Agent. An Agent wants to reduce all of their Drive Levels to 0.
- Action: Defines the Behavior Type used to perform this Action.
- Attribute: Defines a property of an Entity along with the level.
- Tag: All Entities can be tagged which can then be used in planning.
- Role: Can cause Drive Types and Action Types to be added or removed from an Agent.
Agent's Main Loop
The Agent's Main Loop handles the core requirement of being autonomous. The diagram below shows the main loop along with the Decider, Behavior, and interrupt logic. As can be seen in the diagram, all of the core logic is in Types (ScriptableObjects). This allows for customization of any logic and also the ability to easily give different Agents different logic.
Plans
A Plan is a tree structure with a Mapping representing a node with a parent and children.
It's Root Mapping (no parent) has to reduce a Drive Type. The Planner Type is responsible for generating the plans and
returns a List of Plans that reduce a certain Drive Type. The Decider Type is then responsible for selecting one of
the plans.
The Planner Type is attached to the Decider Type so it is up to the Decider Type on how it uses the
Planner Type(s). For example a Player Controlled Decider Type would not need a Planner Type as the
Player would be directly choosing the Mapping to run.
A Player Controlled Decider Type is not currently implemented but is on TAI's Roadmap.
Mapping
A Mapping represents the core unit of a plan. Along with possibly having a parent and children Mappings, it contains a Mapping Type, an Entity target if it needs one, and multiple inventory Entity targets if needed. A Mapping Type consists of three main parts:
- Input Conditions: What needs to be true for an agent to perform this Mapping Type?
- Output Changes: What changes will occur at the start, during, at at the end of this Mapping Type?
- Action Type: Specifies the Behavior Type that will occur. A Behavior Type holds the logic for running the Mapping along with hooking into movement and animation systems.
Drives
Drives represent an Agent's motivation. The Agent's goal is to reduce all Drive Levels to zero.
An Agent will prioritize each Drive based on it's current utility level and then go one by one in
order of Drives looking for a completed (all the Plan's leaf Mappings' Input Conditions are met) Plan to run.
The Drive ranking/selection logic is easy to customize and lives in the subclasses of
Decider Type. If there are multiple completed plans for a Drive
the Agent's Decider Type chooses one based on a Utility Function
the generates an overall utility for each Plan.
It is also easy to use TAI without the Drive logic. Just add one single Drive Type to every Agent and have your root
mappings reduce that single Drive Type.
For more information on Drive Types go here.
How Drive-Based Total AI Works
TAI began with a series of simple questions. Why should NPCs (Agents) do anything at all? Why would
they choose one action over another action? What motivates Agents? This last
question led to the core of TAI. An Agent has Drives and an Agent's central goal is to reduce their Drive
Levels to zero. A simple example is why should an Agent eat? Because their Hunger Drive is high. After eating
it is reduced and the Agent can focus on reducing a different Drive or perhaps if there are no other drives with higher
Drive Utility the Agent could continue to eat more.
Drive Utility is similar to how Utility AI Works,
Drive levels are passed through a Utility Curve to
generate a 0-1 value for how important it is to reduce that Drive. This allows Drives effects to be much more nuanced.
For example, with an S shaped curve the drive will initially not be important, gradually rise up in importance,
then be maxed out before the level actually reaches the Level's max. This might be a suitable curve to represent
a Hunger Drive.
The Drive with the highest utility is choosen (or an alternate selection algorithm can be used) and the Agent's
Planner Type then generates plans and the Agent's Decider Type chooses a plan to reduce this drive.
Choosing a plan can use a Utility Function
that takes into account the rate of decreasing the drive along
with any side-effects the plan might have. For example, if the Agent is cold and wants to make a fire they
could burn their wood house down but the side-effect cost of losing a house would reduce the utility. They
would find that the overall utility of gathering wood in the forest and burning that is much higher.


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Slide 1 header
some basic content for slide 1
- a standard unordered list
- with a couple of lines
Slide 2 header
some basic content for slide 2
- make this an ordered list
- also with a couple of lines
2 small slide shows on a single page, with no special setup needed. No branching, no fullscreen, minimal styling.
some basic content for slide 1
some basic content for slide 2
just a small separator between slide shows.
short slide 1
short slide 2
short slide 3


3.2.2. Testing a Class that Uses the Database¶
<IP_ADDRESS>. Summary¶
We will describe how to test classes that use the database, such as database access class.
When testing the classes that use the database, operations related to database (test data input, data verification) can be performed by using the classes provided by this framework.
<IP_ADDRESS>.1. Overall picture¶
<IP_ADDRESS>.1.1. Main Classes, resources¶
| Name | Role | Creation unit |
|---|---|---|
| Test class | Implement the test logic. Inherit DbAccessTestSupport. | Creating one per class to be tested |
| Test data (Excel file) | Describe the test data, such as preliminary data stored in a table and expected results. | Create one per test class |
| Class to be tested | The class to be tested. | － |
| DbAccessTestSupport | Provides the necessary functions for testing using the database, such as preparation data input. Also, starts and ends a database transaction before and after the execution of a test(To use transactions other than the default) | － |
<IP_ADDRESS>. Basic test methods¶
How to use APIs of this framework in accordance with the purpose, is described below.
<IP_ADDRESS>.1. Testing read process pattern¶
During read process testing, to check that the class to be tested fetches the data as expected, you can check the lookup result from the database by the following procedure:
- Registers the preparation data to the database.
- Invoke the method of the class to be tested.
- Check whether the search result received as a return value is the expected value.
<IP_ADDRESS>.1.1. Sequence¶
<IP_ADDRESS>.1.2. Example of test source code implementation¶
public class DbAccessTestSample extends DbAccessTestSupport { /** * Test all searches. <br/> * Check that all the * records registered in * Employee table can be acquired. */ @Test public void testSelectAll() { // Register preparation data in the database // Write sheet name in the argument. setUpDb("testSelectAll"); // Invoke the method to be tested. EmployeeDbAcess target = new EmployeeDbAccess(); SqlResultSet actual = target.selectAll(); // Confirmation of results // Confirm that the expected value described in Excel is equal to the actual value // In the argument, specify the name of the sheet containing the expected value, ID of the expected value, and the actual value assertSqlResultSetEquals("testSelectAll", "expected", actual); } }
<IP_ADDRESS>.1.3. Test data description example¶
<IP_ADDRESS>.1.3.1. Preparation data to be pre-registered in the database¶
Enter the data as follows.
- Line 1: SETUP_TABLE=<Name of table to be registered>
- Line 2: Column name of the table
- Line 3 ~ : Records to be registered (corresponding to the column name of the second row)
SETUP_TABLE=EMPLOYEE
| ID | EMP_NAME | DEPT_CODE |
|---|---|---|
| 00001 | Yamada Taro | 0001 |
| 00002 | Tanaka Ichiro | 0002 |
SETUP_TABLE=DEPT
| ID | DEPT_NAME |
|---|---|
| 0001 | Human Resources Department |
| 0002 | Administration Department |
<IP_ADDRESS>.1.3.2. Expected value after test execution¶
Enter the data as follows.
- Row 1: LIST_MAP=< ID of the expected value, which is unique in the sheet (arbitrary string)
- Row 2: Column name or alias specified in the SELECT statement
- Row 3 ~ : Search results (corresponding to the column name of Row 2)
LIST_MAP=expected
| ID | EMP_NAME | DEPT_NAME |
|---|---|---|
| 00001 | Yamada Taro | Human Resources Department |
| 00002 | Tanaka Ichiro | Administration Department |
<IP_ADDRESS>.2. Testing update process¶
When checking that the class to be tested updates the data as expected, you can check the update result of the database by the following procedure:
- Registers the preparation data to the database.
- Invoke the method of the class to be tested.
- Commits the transaction.
- Check that the database values are updated as expected.
Important
In the Nablarch Application Framework, it is assumed that multiple types of transactions will be used together. Therefore, when checking the database contents after executing the class to be tested, you must commit the transaction. If the transaction is not committed, the test result is not checked normally.
Tip
You need not commit when testing the read process.
<IP_ADDRESS>.2.1. Sequence¶
<IP_ADDRESS>.2.2. Example of test source code implementation¶
public class DbAccessTestSample extends DbAccsessTestSupport { @Test public void testDeleteExpired() { // Register preparation data in the database // Specify the sheet name in the argument. setUpDb("testDeleteExpired"); // Invoke the method to be tested. EmployeeDbAcess target = new EmployeeDbAccess(); SqlResultSet actual = target.deleteExpired(); // Delete the expired data // Commit the transaction commitTransactions(); // Confirmation of results // Confirm that the expected value described in Excel is equal to the actual value // In the argument, specify the name of the sheet containing the expected value, and the actual value assertTableEquals("testDeleteExpired", actual); }
<IP_ADDRESS>.2.3. Test data description example¶
<IP_ADDRESS>.2.3.1. Preparation data to be pre-registered in the database¶
Enter the data as follows.
- Line 1: SETUP_TABLE=<Name of the table to be registered>
- Line 2: Column name of the table
- Line 3 ~ : Records to be registered (corresponding to the column name of the second row)
SETUP_TABLE=EMPLOYEE
| ID | EMP_NAME | EXPIRED |
|---|---|---|
| 00001 | Yamada Taro | TRUE |
| 00002 | Tanaka Ichiro | FALSE |
<IP_ADDRESS>.2.3.2. Expected value after test execution¶
Enter the data as follows.
- Line 1: EXPECTED_TABLE=<Name of the table to be checked>
- Line 2: Column name of the table to be checked
- Line 3 ~: Expected value
EXPECTED_TABLE=EMPLOYEE
| ID | EMP_NAME | EXPIRED |
|---|---|---|
| // CHAR(5) | VARCHAR(64) | BOOLEAN |
| 00002 | Tanaka Ichiro | FALSE |
<IP_ADDRESS>. How to omit description of database test data¶
When describing the preparation data of the database and the expected values, description in columns not relevant to the test can be omitted. Default values configured for the omitted columns by the automated testing framework. By using this function, readability of the test data improves. Also, even if the table definition is changed, data modification work is saved for columns that are not relevant, thereby improving maintainability.
This function is especially useful for test cases related to the update process. When only one out of the many columns is updated, there is no need to describe the unnecessary columns.
Important
When describing the expected values of database search results, one must describe all the columns to be searched (it is not possible to check only the primary key of a record).
Even when testing the registration process, since all the columns of the newly registered records need to be checked, it is not possible to omit columns using this function.
<IP_ADDRESS>.1. When omitting a column of DB preparation data¶
If you omit a column when writing the data for database preparation, the omitted column is treated as having Default values configured.
However, the column of the primary key cannot be omitted.
<IP_ADDRESS>.2. When omitting a column of DB expected values¶
If you simply omit a column that is not relevant from the DB expected values, the omitted column is excluded from comparison. When testing the update process, “checking that an irrelevant column is not updated” is also a necessary perspective. In this case, use EXPECTED_COMPLETE_TABLE for data type, instead of EXPECTED_TABLE. If EXPECTED_TABLE is used, the omitted column is excluded from comparison, whereas if EXPECTED_COMPLETE_TABLE is used, comparison is carried out assuming that the omitted column contains the Default values.
<IP_ADDRESS>.3. Specific examples¶
Examples when all the columns are described and when only the relevant columns are described, are shown below.
<IP_ADDRESS>.3.1. Test case example¶
The following test cases are used as examples:
For records that have passed the “expiration date”, the “Delete flag” should be updated to 1.[1]
| [1] | The date on which this test is executed is January 1, 2011. |
The table to be used (SAMPLE_TABLE) has the following columns:
| Column name | Description |
|---|---|
| PK1 | Primary key |
| PK2 | Primary key |
| COL_A | Columns that are not used by the function under test |
| COL_B | Columns that are not used by the function under test |
| COL_C | Columns that are not used by the function under test |
| COL_D | Columns that are not used by the function under test |
| Expiration date | Data that has passed the expiration data will be processed |
| Delete flag | The value of records that have passed the expiration date, will be updated to “1” |
<IP_ADDRESS>.3.2. When all the columns are described without omission (bad example)¶
Readability decreases as all the columns are described.[2]Also, if there is a change in the table definition, even a column that is not relevant must be modified.
| [2] | The columns COL_A, COL_B, COL_C and COL_D are not relevant to this test case. |
Preparation data
SETUP_TABLE=SAMPLE_TABLE
| PK_1 | PK_2 | COL_A | COL_B | COL_C | COL_D | Expiration date | Delete flag |
|---|---|---|---|---|---|---|---|
| 01 | 0001 | 1a | 1b | 1c | 1d | 20101231 | 0 |
| 02 | 0002 | 2a | 2b | 2c | 2d | 20110101 | 0 |
Expected value
EXPECTED_TABLE=SAMPLE_TABLE
| PK_1 | PK_2 | COL_A | COL_B | COL_C | COL_D | Expiration date | Delete flag |
|---|---|---|---|---|---|---|---|
| 01 | 0001 | 1a | 1b | 1c | 1d | 20101231 | 1 |
| 02 | 0002 | 2a | 2b | 2c | 2d | 20110101 | 0 |
<IP_ADDRESS>.3.3. When only the relevant columns are described (good example)¶
By describing only the relevant columns, readability and maintainability improve. The columns relevant to this test case are as follows:
- Primary key column to uniquely identify a record (PK_1, PK_2)
- “Expiration date” column, which is a condition for extracting records to be updated
- “Delete flag” column to be updated
In addition, even if there is a change in the table definition, there is no impact on columns that are not relevant.
Preparation data
Only the columns relevant to the test to be executed are described.
SETUP_TABLE=SAMPLE_TABLE
| PK_1 | PK_2 | Expiration date | Delete flag |
|---|---|---|---|
| 01 | 0001 | 20101231 | 0 |
| 02 | 0002 | 20110101 | 0 |
Expected value
When describing expected value, use EXPECTED_COMPLETE_TABLE instead of EXPECTED_TABLE.
EXPECTED_COMPLETE_TABLE=SAMPLE_TABLE
| PK_1 | PK_2 | Expiration date | Delete flag |
|---|---|---|---|
| 01 | 0001 | 20101231 | 1 |
| 02 | 0002 | 20110101 | 0 |
<IP_ADDRESS>.4. Default values¶
The following values are used as default values unless explicitly specified in the component configuration file of the automated testing framework.
| Column | Default values |
|---|---|
| Numeric type | 0 |
| String type | Half width spaces |
| Date type | 1/1/1970 00:00:00.0 |
<IP_ADDRESS>.5. How to change the default values¶
<IP_ADDRESS>.5.1. Settings items list¶
You can configure the following values in the component configuration file using nablarch.test.core.db.BasicDefaultValues
| Configuration item name | Description | Configuration value |
|---|---|---|
| charValue | Default value for string type | A single ASCII character |
| numberValue | Default value for numeric type | 0 or a positive integer |
| dateValue | Default value for date type | JDBC time stamp escape format (yyyy-mm-dd hh:mm:ss.fffffffff) |
<IP_ADDRESS>.5.2. Example of component configuration file description¶
An example of a component configuration file description when the following setting values are used is shown below.
| Configuration item name | Configuration value |
|---|---|
| charValue | a |
| numberValue | 1 |
| dateValue | 1/1/2000 12:34:56.123456789 |
<!-- TestDataParser -->
<component name="testDataParser" class="nablarch.test.core.reader.BasicTestDataParser">
<!-- Database default values -->
<property name="defaultValues">
<component class="nablarch.test.core.db.BasicDefaultValues">
<property name="charValue" value="a"/>
<property name="dateValue" value="1/1/2000 12:34:56.123456789"/>
<property name="numberValue" value="1"/>
</component>
</property>
<!-- Middle is omitted -->
</component>
<IP_ADDRESS>. Important points¶
<IP_ADDRESS>.5. To set up data in a table with a foreign key¶
Delete and register data by determining the parent-child relationship of a table using the same function as Master Data Recovery Function. For more information, see When using a table with a foreign key.


I became more aware of listening fully to what someone is saying and not trying to jump in too early with my interpretation. I found myself having to hold back from speaking, which was interesting. My attention wandered later in the conversation which I become aware of. I thought it was a great exercise and made me more aware of my listening skills...which I am quite frequently reminded of by my wife..The other person in the conversation was a coach in my team. He enjoyed the attention and genuine interest.
I will try all three and see which one works best for me. Since starting to read 'search within youself' I have been mindful wherever possible...or when I remember which has slowed me down and make me much more appreciative of small things which I often take for granted. The three techniques are: Mindful conversation with a buddy, daily meditation for a shorted period than I think I can so it does not become a chore. The third is 'one breath', which relates to taking one mindful breath a day.
Mindful coversation is an excellent skill. It involves 3 key parts: Mindful listening, looping and dipping. Mindful listening is ultimately giving the speaker your full attention. Looping is when we repeat what the speaker has said to make sure that we fully understand. The speaker will generally let us know if we have interpreted correctly, then we can relay this information back to them. Dipping is when we check in with ourselves while listening and acknowedge any internal chatter without judgement.


Inhibition of Th1 development mediated by GATA-3 through an IL-4-independent mechanism.
Abstract
Recently, the transcription factor GATA-3 was shown to be selectively expressed in Th2 but not Th1 cells and to augment Th2-specific cytokines. Here, we show that loss of GATA-3 expression by developing Th1 cells requires IL-12 signaling through Stat4 and does not simply result from an absence of IL-4. Moreover, we demonstrate a novel role for GATA-3 in directly repressing Th1 development distinct from its positive actions on Th2-specific cytokines. GATA-3 inhibits Th1 cytokines by a cell-intrinsic mechanism that is not dependent on IL-4 and that may involve repression of IL-12 signaling. Thus, GATA-3 expression and IL-12 signaling are mutually antagonistic, which facilitates rapid dominance of one pathway during early Th development, producing a stable divergence in cytokine profiles.


Instructions:
A cross on the screen will be displayed for one second only. Your task is to replace the cross after it disappears at the very same location where it initially was.
You can do that using your cursor or the touchscreen. Click the submit button to see how close your guess was.
You can replay the game as many times as you want, and check if you become better with time.


Captain America
Steven Rogers
Iron Man
Tony Stark
Black Widow
Natasha Romanoff
Spider-Man
Peter Parker


Algothon Virtual in partnership with Aspect was the third annual Algothon organised by the Imperial College Algorithmic Trading Society. The Algothon involved 48 hours of intense hacking, bringing the brightest minds together to produce incredible new financial technology.
We offered several talks from field leading researchers in machine learning, as well as workshops to get you up to speed on some of the most exciting new technologies and practices in the field.
The Algorithmic Trading Society was founded with the aim of bringing students from all background together to develop their understanding of the application algorithms in a financially driven context. We aim to narrow the gap between university studies and the professional knowledge required in the field. Our events are tailored for our members, from learning basic concepts, to advanced trading simulations. Our members gain exclusive exposure to our sponsors through workshops and competitions. Whether you’re a novice to trading or a veteran Quant we welcome all to be part of the society.
Aspect Capital is a London-based systematic investment manager which applies a systematic and quantitative approach to investment management. Founded by industry pioneers and driven by a continuous research and development effort, Aspect has a 20 year history of providing innovative products and diversifying performance. We group our products into four main categories: Managed Futures, Alternative Risk Premia, Currency and Multi-Strategy. The company currently manages over 8.5 billion USD.
Arabesque S-Ray is a global data provider that focuses on advisory and data solutions by combining big data and environmental, social and governance (ESG) metrics to assess the performance and sustainability of companies worldwide. Arabesque is headquartered in Frankfurt, and has offices in London, Boston, Singapore and Tokyo. Arabesque S-Ray empowers investors, corporates and other stakeholders across the world to make more sustainable decisions. The firm’s evolution is the product of a partnership between leaders in finance, mathematics, data science and sustainability all working together to accelerate the transition to a more sustainable future.
FactSet® (NYSE:FDS | NASDAQ:FDS) delivers superior content, analytics, and flexible technology to help more than 138,000 users see and seize opportunity sooner. We give investment professionals the edge to outperform with informed insights, workflow solutions across the portfolio lifecycle, and industry-leading support from dedicated specialists. We're proud to have been recognized with multiple awards for our analytical and data-driven solutions and repeatedly scored 100 by the Human Rights Campaign® Corporate Equality Index for our LGBTQ+ inclusive policies and practices. Subscribe to our thought leadership blog to get fresh insight delivered daily at insight.factset.com. Learn more at www.factset.com and follow us on Twitter: www.twitter.com/factset.
We offered talks from some of the industry's leading researchers.


---
layout: post
title: Japan Exposures - Really Great Blog
tags:
- General Photography
- Japan
- Site News
status: publish
type: post
published: true
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I know that most readers here are way way more interested in digital work-flow, and gear, and stuff like that but I thought I would share a blog I stumbled onto about 2 months ago and that I find a great read. Not just a one timer but this is one of the very few that are in my RSS feeds. There is a ton of great stuff here and the publisher continues to add new things constantly.
It is platform agnostic - it is not anything vs. anything, no film vs. digital, no Canon vs. Nikon, nada. Just great photography and topics related to photography. I guess one of the reasons that I am so drawn to it is it seems like people still like to make prints and books in Japan. You know how I am about prints and books. It's not a photography until it is on paper. Photography is not a web only exercise from my perspective.
Anyway - take a look there really is something for everyone and in a Place where photography seems to be a national sport or pastime, the quality and diversity of the photography will blow you away.
RB


A full-featured markdown parser and compiler. Built for speed.
node v0.4.x
$ node test --bench
marked completed in 12071ms.
showdown (reuse converter) completed in 27387ms.
showdown (new converter) completed in 75617ms.
markdown-js completed in 70069ms.
node v0.6.x
$ node test --bench
marked completed in 6448ms.
marked (gfm) completed in 7357ms.
marked (pedantic) completed in 6092ms.
discount completed in 7314ms.
showdown (reuse converter) completed in 16018ms.
showdown (new converter) completed in 18234ms.
markdown-js completed in 24270ms.
Marked is now faster than Discount, which is written in C.
For those feeling skeptical: These benchmarks run the entire markdown test suite 1000 times. The test suite tests every feature. It doesn't cater to specific aspects.
Benchmarks for other engines to come (?).
$ npm install marked
The point of marked was to create a markdown compiler where it was possible to frequently parse huge chunks of markdown without having to worry about caching the compiled output somehow...or blocking for an unnecesarily long time.
marked is very concise and still implements all markdown features. It is also now fully compatible with the client-side.
marked more or less passes the official markdown test suite in its entirety. This is important because a surprising number of markdown compilers cannot pass more than a few tests. It was very difficult to get marked as compliant as it is. It could have cut corners in several areas for the sake of performance, but did not in order to be exactly what you expect in terms of a markdown rendering. In fact, this is why marked could be considered at a disadvantage in the benchmarks above.
Along with implementing every markdown feature, marked also implements GFM features.
marked has 3 different switches which change behavior.
markdown.pl
as much as possible.
Don't fix any of the original markdown bugs or poor behavior.None of the above are mutually exclusive/inclusive.
// set default options
marked.setOptions({
gfm: true,
pedantic: false,
sanitize: true
});
console.log(marked('i am using __markdown__.'));
You also have direct access to the lexer and parser if you so desire.
var tokens = marked.lexer(str);
console.log(marked.parser(tokens));
$ node
> require('marked').lexer('> i am using marked.')
[ { type: 'blockquote_start' },
{ type: 'text', text: ' i am using marked.' },
{ type: 'blockquote_end' },
links: {} ]
$ marked -o hello.html
hello world
^D
$ cat hello.html

hello world

Marked has an interface that allows for a syntax highlighter to highlight code blocks before they're output.
Example implementation:
var highlight = require('my-syntax-highlighter')
, marked_ = require('marked');
var marked = function(text) {
var tokens = marked_.lexer(text)
, l = tokens.length
, i = 0
, token;
for (; i < l; i++) {
token = tokens[i];
if (token.type === 'code') {
token.text = highlight(token.text, token.lang);
// marked should not escape this
token.escaped = true;
}
}
text = marked_.parser(tokens);
return text;
};
module.exports = marked;
Copyright (c) 2011-2012, Christopher Jeffrey. (MIT License)
See LICENSE for more info.


|
ArkGameFrame
v0.1.0
ArkGameFraime is a lightweight, fast, scalable, distributed module and plugin framework to create a game server easily. Greatly inspired by OGRE and Bigworld.
|
#include "NFComm/NFPluginModule/NFPlatform.h"
#include "NFIDataList.h"
#include "NFIRecord.h"
#include "NFIRecordManager.h"
#include "NFIHeartBeatManager.h"
#include "NFIPropertyManager.h"
#include "NFIComponentManager.h"
#include "NFIEventManager.h"
#include "NFComm/NFPluginModule/NFIPluginManager.h"
Go to the source code of this file.
Classes | |
| class | NFIObject |
| A nfi object. More... | |


Brewdeck Controls and Conditions
Kettle/MLT/HLT:?/?/?
Vessel Temperatures and Activity
?blurg
Email, SMS alerts and acknowledgement
Alerts and Notifications
Handle your data.
Details, details
3 Updates Available.


Follow the step by step below to prepare your application.
!!NOTE!!
If you just want to start developing your application, you can skip following steps and start developing an application right away, as this project is registered to Azure AD managed by Kenichiro Nakamura for test. Please note that if you register your application to Windows Phone Store, then you MUST register your application to your Microsoft Azure AD because RedirectUri will be changed, and existing registration won't work. In addition, I have no guranttee to maintain current registration.
Register Your Application.
This template uses Active Directory Authentication Library (ADAL) to authenticate the application using OAuth 2.0 against Microsoft Azure Active Direcotry (AAD) in case of CRM Online, or Active Directory Federation Service (AD FS) in case of CRM On-Premise. To make it happen, you need to register your application to AAD/ADFS. Following step by step explains how to register your application to AAD.
1. First of all, obtain RedirectUri value which you use to register your application. Go to OrganizationServiceProxy.cs file, which opens next to this tutorial, then put breakpoint at line 196.
2. Run the application with debug mode. When the breakpoint hit, press F10 to move to next line and mouse over to RedirectUri, which gives you a RedirectUri value.
3. Once you obtained RedirectUri, go to Microsoft Azure Portal. (http://manage.windowsazure.com)
4. Select Active Directoryon the left pane, and select your directory.
5. Click APPLICATIONS menu on the top, then click ADD button in the bottom.
6. Select “Add an application my organization is developing. Click next icon.
7. Enter any name and select "NATIVE CLIENT APPLICATION" option. Click next icon.
8. Enter RedirectUri you just obtained. Click next icon.
9. Once registration completed, click CONFIGURE menu.
10. Copy a CLIENT ID, which you will update the code by it.
11. Navigate to bottom of the page to setup impersonation. Click "Add application".
12. Select "Dynamics CRM Online" from Select application dropdown, and select "Access CRM Online as organization users."
13. Click Delegate Permission and check "Access CRM Online as organizaion users".
14. Click "SAVE" to save the change.
15. Come back to this project and open OrganizaionServiceProxy.cs file. Replace existing ClientId to new value at line 195.


systemd¶
Create a new Systemd unit file in /etc/systemd/system/:
$ sudo vi /etc/systemd/system/asab.service
Adjust the example of SystemD unit file.
Let systemd know that there is a new service:
$ sudo systemctl enable asab
To reload existing unit file after changing, use this:
$ sudo systemctl daemon-reload
ASAB Application Server service for systemd is now ready.
Start of ASAB Server¶
$ sudo service asab start
Stop of ASAB Server¶
$ sudo service asab stop


|
Figure 1
|
(a) LLM-105 crystal structure and intermolar hydrogen bond i ... |
|
Figure 2
|
Overlap for molecules from DFT and FF in the gaseous phase ( ... |
|
Figure 3
|
Overlap between simulated (normal color) and experimental st ... |
|
Figure 4
|
Four main dimer structures in intermolecular interaction ene ... |
|
Figure 5
|
Pressure-dependent relative cell volumes (a) and lattice par ... |
|
Figure 6
|
LLM-105 molecule and its close neighbors. The center molecul ... |
|
Figure 7
|
Potential energy curves from the FF and DFT for the four mai ... |


add_circle
Add Student
contacts
All Students
description
Essay Grader
All Students
invert_colors
ID
First Name
Last Name
Email
Edit
Edit Student
ID (Cannot Edit)
Email (Cannot Edit)
Save Changes


Topic 13: JavaScript jumping statements Assignment 1: Write a JavaScript program to construct the following pattern, using a nested for loop
Open console for output


+98 21 123 46587
HOME
ABOUT
PRODUCTS
CATEGORIES TITLE
CATEGORIES TITLE
CATEGORIES TITLE
CATEGORIES TITLE
OUR WORKS
CONTACT
Contact Us
Send us an email and we will get back to you.
SEND
Contact Address
NO 12
Tehran
Iran
+98(21) 123 456
<EMAIL_ADDRESS>Terms & Condition
.
Sitemap


AGGREGATION TEST API
Introduction
Postman's API Documentation feature lets you view private API documentation or share public API documentation in a beautifully formatted web page. Postman generates and hosts browser-based API documentation for your collections automatically in real-time. Each collection has a private and public documentation view that Postman generates from synced data in the servers. To know more follow the link.
API Implementation
A web API defines the resources, relationships, and navigation schemes that are accessible to client applications. When you implement and deploy a web API, you should consider the physical requirements of the environment hosting the web API and the way in which the web API is constructed rather than the logical structure of the data. This guidance focusses on best practices for implementing a web API and publishing it to make it available to client applications.
Consider the following points when you implement the code to handle requests:
- POST, GET, and PATCH actions should be unchanged or idempotent.
- The code that implements these requests should not impose any side-effects. The same request repeated over the same resource should result in the same state.
- POST actions that create new resources should not have unrelated side-effects.
- If a POST request is intended to create a new resource, the effects of the request should be limited to the new resource.
- Support content negotiation.
- The body of a response message may contain data in a variety of formats.
Following are the steps to query the data:
- POST add user: Add a user to a company
- POST add company: Add a company
- POST add lesson: Add a lesson for the company
- POST assign lesson: Assign a lesson to the user
- GET welcome: The default API health test
- GET completion percentage: Divides total number of user assigned a lesson and how many have finished to determine the participation percentage
- PATCH start lesson: Starts a lesson for a user
- PATCH end lesson: Ends a lesson for a user
- GET percentage pending: Divides total number of user assigned a lesson and how many have not finished to determine the pending percentage
- GET participation percentage: Divides total number of user assigned a lesson and how many have started to determine the participation percentage
http://localhost:3000/user
http://localhost:3000/company
http://localhost:3000/lesson
http://localhost:3000/assignLessonToUser
http://localhost:3000/user
http://localhost:3000/completionPercentage/MSFT
http://localhost:3000/startLesson
http://localhost:3000/endLesson
http://localhost:3000/pendingPercentage/MSFT
http://localhost:3000/participationPercentage/MSFT
API implementations - including request and response parameters
Request parameter:
| Parameter | Description |
api_key |
The public API key |
request_token |
The one time token obtained after the login flow. This token's lifetime is only a few minutes and it is meant to be exchanged for an access_token immediately after being obtained |
hecksum |
SHA-256 hash of (api_key + request_token + api_secret ) |
Request attribute:
| Attribute | Type | Description |
user_id |
String | The unique, permanent user ID registered with the broker and the exchanges |
user_name |
String | User's real name |
user_shortname |
String | Shortened verion of the user's real name |
email |
String | User's email |


| Date | Time | Event |
|---|---|---|
|
8
Monday
October, 2018
|
12:00 PM - 3:00 PM |
Climb the Tower
|
|
To Be Determined
December, 2018
|
12:00 PM - 3:00 PM |
Holiday Open House
|
Tap list to stop scroll
Tap here to start scroll


Include the JS and CSS files for intro.js, and angular-intro.min.js. Add the module angular-intro
to your app declaration.
Set the options like so: ng-intro-options="IntroOptions"
. Define $scope.IntroOptions
in your controller. The format is exactly the same as the original.
Pick a method name, ng-intro-method="CallMe"
. You can invoke the intro from elsewhere by calling CallMe();
. You can also specify a step number using CallMe(3);
. To autostart, use ng-intro-autostart="true"
You can get callbacks to your controller using the ng-intro-oncomplete
, ng-intro-onexit
, ng-intro-onchange
, ng-intro-onbeforechange
and ng-intro-onafterchange
directives.
See index.html and app.js for usage code.
Set the options and method name:
<div ng-controller="MyController" ng-intro-options="IntroOptions" ng-intro-method="CallMe" ...
Options in the controller
$scope.IntroOptions = { steps:[ { element: '#step1', intro: "First tooltip" }, { element: '#step4', intro: "Second tooltip", position: 'right' }, ...
Call it either way
<button ng-click="CallMe();">Go</button>
$scope.CallMe();


computer science and engineering
jaypee institute of information technology,
noida(201307), u.p, india
Hi, i am a Second year undergraduate student at Jaypee Institute of Information Technology majoring in Computer Science And Engineering.
I have been tinkering with code since many years and been a Full Stack Web Developer And Programmer since over 1 year. I love to code and develop personal projects & contribute on Open Source Projects.
vikas senior secondary school,
bharatpur,rajasthan
2011-2012
Percentage: 86.33
vikas senior secondary school,
bharatpur,rajasthan
2013-2014
Percentage: 91.60
certification of mentor for programming languages and web development during techblocks 2.0 and 2.2 2016 session.
(July 2016 - Present)
certification of training for java programming language.
(June 2016 - August 2016)
certification of training for web development in nodejs
(December 2016 - February 2017)


{% extends "basefile.html" %} {% block title %}Member rankings - SMARTTM {%endblock%} {% block body_block%}
| Ranking | Member ID | Name | Present | Latest Absents | Meetings Participation | TT Participation | Speeches Participation | Evaluations | Advanced Leadership roles |
|---|---|---|---|---|---|---|---|---|---|
| {{ summ_Obj.ranking }} | {{ summ_Obj.member.id }} | {{ summ_Obj.member.user.full_name }} | {{ summ_Obj.attendance_percent }} % | {{ summ_Obj.last_absents }} | {{ summ_Obj.part_percent }} % | {{ summ_Obj.tt_count }} | {{ summ_Obj.speeches_count }} | {{ summ_Obj.evaluation_count }} | {{ summ_Obj.adv_role_count }} |


cut/copy/paste/undo/redo with the usual shortcut keys
Tab does decent indenting. Thanks to
CodeMirror
for the text editor.
Ctrl-Enter to run, Shift-Enter to run selected
def test(name): print "Hello", name test("world")
Run
Output: (
clear
)


Mess around with the option toggles, then check out the output in the blue area.
absolutePaths:Here is some sample text. We will include some bold text in there, and then some italicized text inside of that! This should allow for a reasonably deep tree for the demo that includes both HTML and text nodes. Below is an image with a relative URL path:
Which is faster: to increment every item in this 2,500 row table using tradition jQuery, or with domJSON + Web Workers? Note: this can take up to 20 seconds per run - please be patient!


AxiomCoders PDF Reports .NET Components can be installed from general PDF Reports solution installer.
After installed .NET assembly will be registered to your GAC (Global Assembly Cache) and after that you can use it as any other assembly.


{% extends "base.html" %} {% block content %} 500 Error. Send me an email with what causes the error and I can hopefully try to fix it! {% endblock %}


Contact Us
We’re here to keep you on two wheels. Give us a call with any questions, comments or feedback regarding any of our products. We’re available 9am-6pm on weekdays, 9-am-5pm at weekends.
%%include('../partials_new/head.html')
%%include('../partials_new/navbar.html')We’re here to keep you on two wheels. Give us a call with any questions, comments or feedback regarding any of our products. We’re available 9am-6pm on weekdays, 9-am-5pm at weekends.


Hello to Outdoor Adventures
The node.remove() method does not work in any versions of the Internet Explorer browser.


make flash objects obey the browser's z-index again!
open source HTML5 & Flash video player used on over 400,000 websites.
New web features (supported by Microsoft Edge) in a way that work across all modern browsers.
Webpack plugin that emits a json file with assets paths.
Add-on for Tree of Savior. additional chat commands, countdown tracker, and more.
Connect javascript applications with poeditor.com for easy internationalization support.


To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video


Buxton history
- Born and raised in small town Los Gatos, CA.
- Have been living in SF for 3 years now.
- Hobbies include rooting for this logo above and running.
- Aspirations include just a one word answer: Triathlon.
Work history consists of:
And now could not be happier to be part of the:
And on certain weekends I love going down to Los Gatos to see my parents and to see these corgis:


You can start referring to an Ant property or target even if it is not defined yet. An intention action feature will suggest you to automatically create the necessary tag, without the need for you to leave your current editing location.


| Example |
Blunt trauma |
Psychoneurosis, schizophrenia, substance (e.g., drug, alcohol) addiction, |
Parkinson’s disease, Alzheimer’s disease, Huntington’s disease, Spinocerebellar ataxia, Spinal muscular atrophy |
Intellectual disability, general learning disability |
Primary brain tumor, secondary or metastatic brain tumor, glioblastoma [
11,
12]
|
| Associated factor |
Hematomas, blood clots, contusions, cerebral edema, concussions, stroke |
Environment, stress, genetics, physiology, neurobiochemical state |
Aging, genetics |
Genetics, problems at birth, malnutrition, exposure to certain diseases or toxins, cytomegalovirus (CMV) infection |
Largely unclear, maybe genetics, radiation, CMV infection |
| Main symptom |
Vomiting, nausea, speech difficulty, ear bleeding, numbness, paralysis, memory loss, concentration problem [
1,
2]
|
Depression, anxiety, agitation, delusion, stress, obsession, adaptation difficulty, emotional reaction, odd behavior, retarded intellectual development [
3,
4]
|
Memory loss, apathy, tremor, rigid, unstable posture, speech difficulty, movement retardation, facial nerve paralysis, disorientation, intellectual problem, mood change [
5,
6]
|
Delayed learning, self- care difficulty, poor planning ability, behavioral and social problems, fail to grow intellectually, fail to adapt to new situations [
7,
8,
9,
10]
|
Headache, seizure, numbness or tingling in arms or legs, nausea, vomiting, personality change, movement difficulty, imbalance, change in hearing, speech or vision [
13,
14,
15]
|
| Clinical treatment |
Medication, physical therapy, language therapy, psychiatry, surgery [
1,
2]
|
Medication, psychotherapy, environmental therapy, occupational therapy, electric shock, surgery [
3,
4]
|
Medication, deep brain stimulation [
5,
6]
|
Medication, psychotherapy, language therapy, environmental therapy, occupational therapy [
7,
8,
9,
10]
|
Medication, surgery, chemotherapy, radiation therapy [
13,
14,
15]
|


Hunter Guild President Bernard:
Sagittarius's bow, the symbol of our guild, was stolen.
During the day, it's on display, but at night, I keep it close at hand.
I was delayed putting it in the safe for just a minute while counting my new coins.
This must be a conspiracy against me.
Your reputation is growing, I would appreciate your help.
Quest