A header file is a file with extension .h which contains C function declarations and macro definitions to be shared between several source files. There are two types of header files: the files that the programmer writes and the files that comes with your compiler.
You request to use a header file in your program by including it with the C preprocessing directive #include, like you have seen inclusion of stdio.h header file, which comes along with your compiler.
Including a header file is equal to copying the content of the header file but we do not do it because it will be error-prone and it is not a good idea to copy the content of a header file in the source files, especially if we have multiple source files in a program.
A simple practice in C or C++ programs is that we keep all the constants, macros, system wide global variables, and function prototypes in the header files and include that header file wherever it is required.
Both the user and the system header files are included using the preprocessing directive #include. It has the following two forms −
#include <file>
This form is used for system header files. It searches for a file named 'file' in a standard list of system directories. You can prepend directories to this list with the -I option while compiling your source code.
#include "file"
This form is used for header files of your own program. It searches for a file named 'file' in the directory containing the current file. You can prepend directories to this list with the -I option while compiling your source code.
The #include directive works by directing the C preprocessor to scan the specified file as input before continuing with the rest of the current source file. The output from the preprocessor contains the output already generated, followed by the output resulting from the included file, followed by the output that comes from the text after the #include directive. For example, if you have a header file header.h as follows −
char *test (void);
and a main program called program.c that uses the header file, like this −
int x; #include "header.h" int main (void) { puts (test ()); }
the compiler will see the same token stream as it would if program.c read.
int x; char *test (void); int main (void) { puts (test ()); }
If a header file happens to be included twice, the compiler will process its contents twice and it will result in an error. The standard way to prevent this is to enclose the entire real contents of the file in a conditional, like this −
#ifndef HEADER_FILE #define HEADER_FILE the entire header file file #endif
This construct is commonly known as a wrapper #ifndef. When the header is included again, the conditional will be false, because HEADER_FILE is defined. The preprocessor will skip over the entire contents of the file, and the compiler will not see it twice.
Sometimes it is necessary to select one of the several different header files to be included into your program. For instance, they might specify configuration parameters to be used on different sorts of operating systems. You could do this with a series of conditionals as follows −
#if SYSTEM_1 # include "system_1.h" #elif SYSTEM_2 # include "system_2.h" #elif SYSTEM_3 ... #endif
But as it grows, it becomes tedious, instead the preprocessor offers the ability to use a macro for the header name. This is called a computed include. Instead of writing a header name as the direct argument of #include, you simply put a macro name there −
#define SYSTEM_H "system_1.h" ... #include SYSTEM_H
SYSTEM_H will be expanded, and the preprocessor will look for system_1.h as if the #include had been written that way originally. SYSTEM_H could be defined by your Makefile with a -D option.


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{%- if page.multilang %} {%- endif %}
This tutorial provides reasonably detailed information that combines the theory and practice of development (Dev) and operation (Ops).
Its contents are aimed at developers seeking to acquire basic DevOps skills in organizing the continuous delivery of applications to Kubernetes. The DevOps engineers who want to solve their tasks more efficiently will also benefit from this tutorial.
We will gradually consider all the tasks related to developing services and implementing the CI/CD process: building, deploying, working with dependencies and assets, working with databases and in-memory storage, using e-mail and file storage, implementing autotests, and more.
Each version of the tutorial takes into account the specifics of the programming language/framework and includes examples of the application source code and infrastructure (IaC).
This tutorial is based on a plain "vanilla" Kubernetes cluster. However, you can easily adapt it for custom builds.
Mastering the skills using a self-study guide is a difficult challenge. You have to find the time, work hard, and focus on the process.
Those who have the strength to go all the way to the end will be able to:
This tutorial will help you focus on your needs, and the werf user community will make it easier to overcome any obstacles along the way.


<state>
The <state>
element specifies a name/value pair whenever it is necessary
to represent a named state that has a variable value. The element is primarily intended for
use in specializations to represent specific states (like logic circuit states, chemical
reaction states, airplane instrumentation states, and so forth).
Category: Specialization elements


Coronavirus Disease (COVID-19)
Governor Carney declared a State of Emergency starting on March 13, 2020, and updated it on March 16, 18, 20, 22, 29, and 30
-
On March 30, the Governor added screening requirements for high-risk essential businesses
-
On March 30, the Governor made a modification which allows child care programs in Delaware to be designated as emergency child care sites
-
On March 29, the Governor ordered all out-of-state travelers into Delaware to self-quarantine for 14 days.
-
On March 22, the Governor ordered Delawareans to stay-at-home and shelter in place, except to leave for essential work or activities.
-
On March 22, the Governor ordered non-essential businesses to closeat 8:00 a.m. on Tuesday, March 24.
Contact your primary health care provider if you have concerns about symptoms, particularly those with fever and coughing or shortness of breath.
Individuals with general questions about coronavirus can call DPH at 1-866-408-1899 1-866-408-1899or email us at<EMAIL_ADDRESS>Individuals with hearing impairment can call 7-1-1 7-1-1
LATEST DATA
Download the PDF version of this map here
Download the PDF version of this map here
Download the PDF version of this map here
WHAT YOU CAN DO
Take steps to avoid spreading germs from any respiratory diseases by:
Wash your hands and use hand sanitizer. Don’t touch your face. Cover your cough with a tissue or your elbow.  Get your flu shot. FAQ’s.
TESTING
To be tested, a referral from your provider is required.
Symptoms include: fever AND cough OR difficulty breathing.
Contact your primary care provider if you have one. Those without a health care provider should call the DPH Call Center at 1-866-408-1899 1-866-408-1899
COMMUNITY RESOURCES
Whether you’re looking for help or to help, find more information about grocery stores, crisis services, food assistance, volunteering, student meal programs, donating, unemployment benefits, and more.
Thanks for signing up!
You can unsubscribe at any time using the Unsubscribe link at the bottom of every email.
OTHER INFORMATION
State of Emergency Declarations
- View the State of Emergency Declaration and all modifications issued by Governor John Carney.
- Stay-at-Home Order – Frequently Asked Questions
Health Alert Notifications (HAN)
Downloadable/Printable Materials
Find information in multiple languages, including English, Spanish, Haitian Creole, and Mandarin.
- Information About Coronavirus Disease 2019 (Risk, Prevention, etc.)
Download: English Spanish Haitian Creole Mandarin - Information About Self- Monitoring
FREQUENTLY ASKED QUESTIONS
- We are in contact with the Centers for Disease Control and Prevention (CDC), as well as other local, state, and national partners to share information.
- We have sent information to health care providers around the state with current recommendations for screening and testing for COVID-19, as well as to EMS and home health care providers regarding proper protection procedures.
- We are holding frequent calls with staff and our state and health care provider partners to stay up to date with the latest updates.
- We are sharing messaging with partners and the public as it becomes available.
- This is a rapidly evolving situation, so information and recommendations are likely to change quickly as well. We will continue to learn more in the coming days and share new information as it is available.
- Through the air by coughing and sneezing
- Close personal contact, such as touching or shaking hands
- Touching an object or surface with the virus on it, then touching your mouth, nose, or eyes
- Individuals 60 years of age and older.
- Individuals with chronic health conditions, such as diabetes, lung disease, or heart disease.
- Individuals who are immunocompromised or have medical needs.
- Individuals with access or functional needs.
- Individuals who are homeless or experience housing instability.
- Fever
- Cough
- Shortness of breath
Press Releases
Read more
Resources for Coronavirus COVID-19
Printable materials, graphics for social media, and mp4 files for sharing


%
Hey {{ first_name }}, we had a look at your academic background and history and here's what we have to say...
You have {{ eligibility_score }}% chance of getting admitted to {{ selected_master }} - {{ selected_track }}
Bachelor Programme: {{ selected_bachelor }} {{ bachelor_score_comment }}
Research Bachelor: {{ selected_bachelor_type }} {{ bachelor_type_score_comment }}
Your GPA: {{ gpa }} {{ gpa_score_comment }}
{{ english_score_comment }}
{{ knowledge_score_comment }}
{{ work_ex_score_comment }}


I am an Engineering Leader with 6+ years of experience in building products around the world. Recently, I've focused on Data products particularly Analytics, Experimentation, Attribution, and Incrementality as a platform. Prior, I've held a position of (fullstack) engineer and have built products for global companies such as CNN, A+E Networks, Singapore Press Holdings, Pizza Express Hong Kong, Magnus Carlsen, and South China Morning Post.
Lead multiple engineering teams covering Analytics and Experimentation.
Define product vision and strategy of the experimentation platform based on customer needs and aligning to company's strategic initiatives. Conducted company-wide customer journey workshops for Product Managers, Analysts, and Engineers to identify opportunities. Simplify the architecture of the platform to streamline processes and provide a centralised end-to-end solution.
Implemented a company-wide dashboard and alerting to regularly monitor the funnel health of the mobile apps. Presented business cases to improve app loading time, improving filters and sort usage, and region-specific enhancements.
Improved the overall customer experience and conversion for CJK users in the region (China, Taiwan, Korea, Japan, Hong Kong) by implementing region-specific features on the website and mobile apps such as voice search, quick select on typeahead items, and CJK tokenizers on Apachesolr.
Lead the engineering team based in India and UK to develop the CNNGo website (now called CNN Travel).
Overall set up of the business and ownership including P&L management. Grew the company from just me to a team of 7 engineers and UI/UX. The company operated with the business model of providing tech teams to other businesses with focus on continously improving the process to effectively deliver client's needs.
 I used to play in a punk/ska band but recently, I've enjoyed indie music from bands such as Death Cab for Cutie, Two Doors Cinema Club and Crash Captains
When forced indoors, I spend a large amount of my free time exploring the latest technology advancements in the front-end web development world.


--- layout: default ---
Hello there, and welcome to my homepage!
My name is Long Hoang Dang, and I am a PhD Student at Applied Artificial Intelligence Institute, Deakin University, Australia. My research interests focus on machine learning and pattern recognition, computer vision, and visual reasoning. Applications include security and healthcare
I maintain a list of my publications under the Research tab, and a list of professonal services under the Services tab.
To get a better insight on my life so far, you can have a look at my curriculum vitae.


// Copyright 2021-2023 Bloomberg Finance L.P. // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. // bmqpi_hosthealthmonitor.h -*-C++-*- #ifndef INCLUDED_BMQPI_HOSTHEALTHMONITOR #define INCLUDED_BMQPI_HOSTHEALTHMONITOR //@PURPOSE: Provide an interface for monitoring the health of the host. // //@CLASSES: // bmqpi::HostHealthMonitor: Interface for a monitor of host health. // //@DESCRIPTION: // 'bmqpi::HostHealthMonitor' is a pure interface for a monitor of the health // of the host. BlazingMQ sessions can use such objects to conditionally // suspend queue activity while the host is marked unhealthy. // BMQ #include <bmqscm_version.h> #include <bmqt_hosthealthstate.h> // BDE #include <bsl_functional.h> #include <bdlmt_signaler.h> namespace BloombergLP { namespace bmqpi { // ======================= // class HostHealthMonitor // ======================= class HostHealthMonitor { // A pure interface for monitoring the health of the host. public: // TYPES typedef bsl::function<void(bmqt::HostHealthState::Enum)> HostHealthChangeFn; // Invoked as a response to the HostHealthMonitor detecting a change // in the state of the host health. public: // CREATORS virtual ~HostHealthMonitor(); // Destructor // MANIPULATORS virtual bdlmt::SignalerConnection observeHostHealth(const HostHealthChangeFn& cb) = 0; // Registers the specified `cb` to be invoked each time the health of // the host changes. // ACCESSORS virtual bmqt::HostHealthState::Enum hostState() const = 0; // Queries the current health of the host. }; } // close package namespace } // close enterprise namespace #endif


Leadership
What is your experience of compassionate (or not) leadership?
I had a project manager when I was in Rohde-Schwarz. He seems to have a low haha point. We feel happy when to work with him. Even if we experience some hard situations, we don't feel pressure from him. He always faces the most of the press himself. He also works harder than us, influence us with the action, not the words. So we are willing to work for him, it's such a great working experience.
Do the multiplying goodness meditation. How did you find it?
I may not need to do this practice. I remember my father told me to think objectively when I was in primary school. So I always think of this pattern. Now I feel like I'm kind of a yes-man. Because I may care about others feeling too much.
Do the Tonglen meditation. How did you find it?
I cannot do this either because I cannot recall any difficult things. I always trade them as a life experience and then let them be. So every time my wife and I have a fight, She can always point my bad in the past, however, I cannot remember any fault she made...
How does the SCARF model apply to your Phase 0 experience so far? How will it apply to bootcamp?
I understand that how uncertainty interferes your coding work. If I feel it's too hard and I can do it. I probably won't even start to do it. Now I found a good solution. That is just doing what you can do first and tell yourself "see, I can do this right?" then try to push yourself to achieve a harder feature and praising yourself again. By taking small steps and keep giving positive feedback, I finished the calculator and snake game apps. Which I thought I can't do it at first.
Regarding the autonomy, I'm going to share some idea of how do I start an efficient self-study. First one is study with others, when I study at the campus I feel that it's impolite to eat or walk around or watch a fun video, I can only study. Another trick is to start self-study with a ceremony. I gradually started wearing a hat before study at home.  Then I become more concentrated than usual.
Have a difficult conversation. How did it go? (It's a valuable skill, but can take practice to develop!)
I'll do it in phase 1.


About
Whether it's an internal wiki, intranet, or internal social media channels, digital communications has the potential to enhance your message out to all your applicable users.
The tools are already available to help further enhance your message. Let GCbootstrap assist you in reaching the most people possible!
How it started
As an ambassador of GCtools (including GCpedia), I see the potential in using digital communications. At the same time, we're all busy with our day-to-day responsibilities. By giving you the ability to further enhance your GCpedia with GCbootstrap, you are tapping in to various designs and templates created by other Bootstrap users (back to 2011) and not having to reinvent the wheel!
If you can think of a common digital design, component or layout, it's probably already been created. GCbootstrap gives you quicker access to these existing resources and, hopefully, makes your life a little easier.
GCpedicure
GCbootstrap wouldn't have been possible if it weren't for the efforts of Chris from Global Affairs Canada's InnoLab and GCpedicure. Thank you!
The methodologies of using a GCpedia page with Bootstrap started with GCpedicure and it's what inspired me to extend this functionality. GCbootstrap simply extends GCpedia, GCpedicure by:
- Utilizing the latest Bootstrap build (currently v4.1.3)
- Restoring the basic functionality of GCpedia:
- Content AND User Interface Language Flipper
- Read, Edit source, View history, Favorites, Unwatch
- Link to GCpedia profile, Talk, Preferences, My favorites, Watchlist, Contributions, Logging in and out
- Creating an improved responsive design for various resolutions and devices
Awards
- Certificate of Recognition from Fisheries and Oceans Canada - Lead role in the creation of the GCdocs Online Help Guide (using GCbootstrap).
(16 October 2018)
Blueprint 2020
GCbootstrap compliments the vision and principles of Blueprint 2020. Specifically, using GCbootstrap with GCpedia will give you the ability to:
- Increase engagement
- GCbootstrap makes your content more in focus
- Enhance service delivery
- GCbootstrap uses shared files and themes for easier launch of content
- Better utilize current / potential future technologies
- GCbootstrap extends the current GCpedia wiki and is built for interoperability
- Embrace new ways of working with others & mobilize talent to serve the needs of others
- GCbootstrap can be used by anyone with a GCpedia account
GCTools
GCbootstrap is currently used with GCpedia and compliments the current mandate of GCTools - acting as a central hub for all public servants, hosting online tools and moving towards the digital space.
By using GCbootstrap, you will further enhance your ability reach the most people possible.
Change Log
| Version | Date | File(s) | Changes | Author |
|---|---|---|---|---|
| 1.05 | 2018-12-14 |
start-eng style-guide-eng |
|
Marco Battilana |
| 1.04 | 2018-12-11 |
GCb-head-yoursite-eng GCb-nav-yoursite-eng GCb-footer-yoursite-eng GCb-css-yoursite-core GCb-css-yoursite-override |
|
Marco Battilana |
| 1.03 | 2018-12-04 | GCb-css-core GCb-css-override |
|
Marco Battilana |
| 1.02 | 2018-12-03 | GCb-css-core | Added style to make modal dialogue windows show / interact properly.
|
Marco Battilana |
| 1.01 | 2018-11-20 | GCb-head-eng | Added call to Font Awesome script so icons will show in Internet Explorer
|
Marco Battilana |
| 1.00 | 2018-10-31 |
GCb-head-eng GCb-nav-eng GCb-footer-eng GCb-css-core GCb-css-override |
Released | Marco Battilana |


interface DecryptCipher : Any
A contract for a cipher that can decrypt an instance of Encrypted, producing an instance of Decrypted.
| decrypt |
abstract fun decrypt(encrypted: Encrypted): Decrypted |
| AsymmetricCipherPair |
class AsymmetricCipherPair : EncryptCipher, DecryptCipher
An encrypting/decrypting cipher which wraps both an AsymmetricEncryptCipher and a AsymmetricDecryptCipher. |
| AsymmetricDecryptCipher |
class AsymmetricDecryptCipher : ConcreteCipher, DecryptCipher
An decrypting-only cipher which uses an RSA-based PrivateKey for decryption. |
| AuthenticatingBlockCipher |
class AuthenticatingBlockCipher : ConcreteCipher, EncryptCipher, DecryptCipher
An encrypting/decrypting cipher which uses the Galois-counter mode (GCM). |
| BlockCipher |
class BlockCipher : ConcreteCipher, EncryptCipher, DecryptCipher
An encrypting/decrypting cipher which uses the chained-block mode (CBC). |


Masterclass Meetup 2018 - Gary Davis - Presentation: Basic Drawing for Large Lego Models [Powerpoint]
Masterclass Meetup 2018 - Tim Goddard - Presentation: Republic Gunship [Powerpoint] [Keynote]
Masterclass Meetup 2019 - Daniele Combatti - Presentation: Mechs [Powerpoint]
Masterclass Meetup 2019 - Justin Watkins - Presentation: Sculpture [Powerpoint]
Masterclass Meetup 2019 - Alec Hole - Presentation: Things that Swoosh [Powerpoint]
Masterclass Meetup 2020 - Matt Elder - Presentation: Lego Scenario [PDF]
Masterclass Meetup 2020 - Neil Marsden - Presentation: Digital Lego [PDF]


{% extends "base.html" %} {% block title %}IEDB Source of Truth{% endblock %} {% block content %}
This is a prototype for a new interface to the Immune Epitope Database.
Submit a template (TCell DST):


Class CanvasExtensions
Extensions for the Canvas class.
Inherited Members
Namespace: XRTK.Extensions
Assembly: XRTK.dll
Syntax
public static class CanvasExtensions
Methods
| Improve this Doc View SourceGetChildRectTransformAtPoint(RectTransform, Vector3, Boolean, Boolean, Boolean)
Gets a child rect transform for the given point and parameters.
Declaration
public static RectTransform GetChildRectTransformAtPoint(this RectTransform rectTransformParent, Vector3 worldPoint, bool recursive, bool shouldReturnActive, bool shouldReturnRaycastable)
Parameters
| Type | Name | Description |
|---|---|---|
| RectTransform | rectTransformParent | The rect transform to look for children that may contain the projected (orthogonal to the child's normal) world point |
| Vector3 | worldPoint | The world point |
| Boolean | recursive | Indicates if the check should be done recursively |
| Boolean | shouldReturnActive | If true, will only check children that are active, otherwise it will check all children. |
| Boolean | shouldReturnRaycastable | If true, will only check children that if they have a graphic and have it's member raycastTarget set to true, otherwise will ignore the raycastTarget value. Will still allow children to be checked that do not have a graphic component. |
Returns
| Type | Description |
|---|---|
| RectTransform |
GetLocalCorners(Canvas)
Convenience method for getting the corners of the canvas in local coordinates. Ordered clockwise from bottom-left.
Declaration
public static Vector3[] GetLocalCorners(this Canvas canvas)
Parameters
| Type | Name | Description |
|---|---|---|
| Canvas | canvas | The canvas to get the local corners from. |
Returns
| Type | Description |
|---|---|
| Vector3[] | An array of Vector3s that represent the corners of the canvas in local coordinates. |
GetPlane(Canvas)
Convenience method for getting a plane for this canvas in world coordinates.
Declaration
public static Plane GetPlane(this Canvas canvas)
Parameters
| Type | Name | Description |
|---|---|---|
| Canvas | canvas | The canvas to get the plane from. |
Returns
| Type | Description |
|---|---|
| Plane | A Plane for this canvas. |
GetScreenCorners(Canvas)
Gets the position of the corners for a canvas in screen space. 1 -- 2 | | 0 -- 3
Declaration
public static Vector3[] GetScreenCorners(this Canvas canvas)
Parameters
| Type | Name | Description |
|---|---|---|
| Canvas | canvas | The canvas to get the screen corners for. |
Returns
| Type | Description |
|---|---|
| Vector3[] |
GetScreenRect(Canvas)
Returns a rectangle in screen coordinates that encompasses the bounds of the target canvas.
Declaration
public static Rect GetScreenRect(this Canvas canvas)
Parameters
| Type | Name | Description |
|---|---|---|
| Canvas | canvas | The canvas the get the screen rect for |
Returns
| Type | Description |
|---|---|
| Rect |
GetViewportCorners(Canvas)
Convenience method for getting the corners of the canvas in viewport coordinates. Note that the points have the same ordering as the array returned in GetWorldCorners()
Declaration
public static Vector3[] GetViewportCorners(this Canvas canvas)
Parameters
| Type | Name | Description |
|---|---|---|
| Canvas | canvas | The canvas to get the viewport corners from |
Returns
| Type | Description |
|---|---|
| Vector3[] | An array of Vector3s that represent the corners of the canvas in viewport coordinates |
GetWorldCorners(Canvas)
Convenience method for getting the corners of the canvas in world coordinates. Ordered clockwise from bottom-left.
Declaration
public static Vector3[] GetWorldCorners(this Canvas canvas)
Parameters
| Type | Name | Description |
|---|---|---|
| Canvas | canvas | The canvas to get the world corners from. |
Returns
| Type | Description |
|---|---|
| Vector3[] | An array of Vector3s that represent the corners of the canvas in world coordinates. |
Raycast(Canvas, Vector3, Vector3, out Single, out Vector3, out GameObject)
Raycast against a canvas using a ray.
Declaration
public static bool Raycast(this Canvas canvas, Vector3 rayOrigin, Vector3 rayDirection, out float distance, out Vector3 hitPoint, out GameObject hitChildObject)
Parameters
| Type | Name | Description |
|---|---|---|
| Canvas | canvas | The canvas to raycast against |
| Vector3 | rayOrigin | The origin of the ray |
| Vector3 | rayDirection | The direction of the ray |
| Single | distance | The distance of the ray |
| Vector3 | hitPoint | The hitpoint of the ray |
| GameObject | hitChildObject | The child object that was hit or the canvas itself if it has no active children that were within the hit range. |
Returns
| Type | Description |
|---|---|
| Boolean |


Tile Legend:
Vanilla Flower
Score: 2
Bubblegum chocolate
Score: 4
Chocolate Sprinkes
Score: 8
Marshmallow Fudge
Score: 16
Peanut Butter Fudge
Score: 32
Chocolate Snowflake
Score: 64
Chocolate Coconut
Score: 128
Mint Cookies & creme
Score: 256
Caramel Chip
Score: 512
Tropical Flower
Score: 1024
Mermaid Vanilla
Score: 2048
Unicorn
Score: 4096


Class: Aws::SESV2::Types::DkimAttributes
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-sesv2/lib/aws-sdk-sesv2/types.rb |
Overview
An object that contains information about the DKIM authentication status for an email identity.
Amazon SES determines the authentication status by searching for
specific records in the DNS configuration for the domain. If you used
Easy DKIM to set up DKIM authentication, Amazon SES tries to find
three unique CNAME records in the DNS configuration for your domain.
If you provided a public key to perform DKIM authentication, Amazon
::Aws::SES
tries to find a TXT record that uses the selector that you
specified. The value of the TXT record must be a public key that's
paired with the private key that you specified in the process of
creating the identity
Constant Summary
Instance Attribute Summary
-
#current_signing_key_length ⇒ String
rw
[Easy DKIM] The key length of the DKIM key pair in use.
-
#last_key_generation_timestamp ⇒ Time
rw
[Easy DKIM] The last time a key pair was generated for this identity.
-
#next_signing_key_length ⇒ String
rw
[Easy DKIM] The key length of the future DKIM key pair to be generated.
-
#signing_attributes_origin ⇒ String
rw
A string that indicates how DKIM was configured for the identity.
-
#signing_enabled ⇒ Boolean
rw
If the value is
true
, then the messages that you send from the identity are signed using DKIM. -
#status ⇒ String
rw
Describes whether or not Amazon SES has successfully located the DKIM records in the DNS records for the domain.
-
#tokens ⇒ Array<String>
rw
If you used [Easy DKIM][1] to configure DKIM authentication for the domain, then this object contains a set of unique strings that you use to create a set of CNAME records that you add to the DNS configuration for your domain.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Aws::Structure#to_h. |
Instance Attribute Details
#current_signing_key_length ⇒ String
(rw)
[Easy DKIM] The key length of the DKIM key pair in use.
# File 'gems/aws-sdk-sesv2/lib/aws-sdk-sesv2/types.rb', line 1714
class DkimAttributes < Struct.new( :signing_enabled, :status, :tokens, :signing_attributes_origin, :next_signing_key_length, :current_signing_key_length, : ) SENSITIVE = [] include Aws::Structure end
#last_key_generation_timestamp ⇒ Time
(rw)
[Easy DKIM] The last time a key pair was generated for this identity.
# File 'gems/aws-sdk-sesv2/lib/aws-sdk-sesv2/types.rb', line 1714
class DkimAttributes < Struct.new( :signing_enabled, :status, :tokens, :signing_attributes_origin, :next_signing_key_length, :current_signing_key_length, : ) SENSITIVE = [] include Aws::Structure end
#next_signing_key_length ⇒ String
(rw)
[Easy DKIM] The key length of the future DKIM key pair to be generated. This can be changed at most once per day.
# File 'gems/aws-sdk-sesv2/lib/aws-sdk-sesv2/types.rb', line 1714
class DkimAttributes < Struct.new( :signing_enabled, :status, :tokens, :signing_attributes_origin, :next_signing_key_length, :current_signing_key_length, : ) SENSITIVE = [] include Aws::Structure end
#signing_attributes_origin ⇒ String
(rw)
A string that indicates how DKIM was configured for the identity. These are the possible values:
AWS_SES
– Indicates that DKIM was configured for the identity by using Easy DKIM.EXTERNAL
– Indicates that DKIM was configured for the identity by using Bring Your Own DKIM (BYODKIM).
# File 'gems/aws-sdk-sesv2/lib/aws-sdk-sesv2/types.rb', line 1714
class DkimAttributes < Struct.new( :signing_enabled, :status, :tokens, :signing_attributes_origin, :next_signing_key_length, :current_signing_key_length, : ) SENSITIVE = [] include Aws::Structure end
#signing_enabled ⇒ Boolean
(rw)
If the value is true
, then the messages that you send from the
identity are signed using DKIM. If the value is false
, then the
messages that you send from the identity aren't DKIM-signed.
# File 'gems/aws-sdk-sesv2/lib/aws-sdk-sesv2/types.rb', line 1714
class DkimAttributes < Struct.new( :signing_enabled, :status, :tokens, :signing_attributes_origin, :next_signing_key_length, :current_signing_key_length, : ) SENSITIVE = [] include Aws::Structure end
#status ⇒ String
(rw)
Describes whether or not Amazon SES has successfully located the DKIM records in the DNS records for the domain. The status can be one of the following:
PENDING
– The verification process was initiated, but Amazon SES hasn't yet detected the DKIM records in the DNS configuration for the domain.SUCCESS
– The verification process completed successfully.FAILED
– The verification process failed. This typically occurs when Amazon SES fails to find the DKIM records in the DNS configuration of the domain.TEMPORARY_FAILURE
– A temporary issue is preventing Amazon SES from determining the DKIM authentication status of the domain.NOT_STARTED
– The DKIM verification process hasn't been initiated for the domain.
# File 'gems/aws-sdk-sesv2/lib/aws-sdk-sesv2/types.rb', line 1714
class DkimAttributes < Struct.new( :signing_enabled, :status, :tokens, :signing_attributes_origin, :next_signing_key_length, :current_signing_key_length, : ) SENSITIVE = [] include Aws::Structure end
#tokens ⇒ Array
<String
> (rw)
If you used Easy DKIM to configure DKIM authentication for the
domain, then this object contains a set of unique strings that you
use to create a set of CNAME records that you add to the DNS
configuration for your domain. When Amazon ::Aws::SES
detects these records
in the DNS configuration for your domain, the DKIM authentication
process is complete.
If you configured DKIM authentication for the domain by providing your own public-private key pair, then this object contains the selector for the public key.
Regardless of the DKIM authentication method you use, Amazon SES searches for the appropriate records in the DNS configuration of the domain for up to 72 hours.
# File 'gems/aws-sdk-sesv2/lib/aws-sdk-sesv2/types.rb', line 1714
class DkimAttributes < Struct.new( :signing_enabled, :status, :tokens, :signing_attributes_origin, :next_signing_key_length, :current_signing_key_length, : ) SENSITIVE = [] include Aws::Structure end


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FF\Forms\Form
Class Form
Synopsis
- // constants
- const FIELDS_CLASS_SUFFIX = 'Field';
- // members
- protected Record $fields;
- protected Record $violations;
- // methods
- public void __construct()
- public array getFields()
- public $this setFields()
- public ?AbstractField getField()
- public $this setField()
- public Form addField()
- public $this removeField()
- public bool hasField()
- public Record getViolations()
- public ?AbstractViolation getViolation()
- public bool hasViolation()
- public $this assign()
- public array getValues()
- public $this reset()
- public bool isValid()
- public static AbstractField __callStatic()
- public ?AbstractField __get()
- public void __set()
- public bool __isset()
- public void __unset()
Coverage
| Methods | 0% | 0 / 20 |
| Lines | 0% | / |
Constants
| Name | Value |
|---|---|
| FIELDS_CLASS_SUFFIX | 'Field' |
Members
protected
- $fields — FF\DataStructures\Record
- $violations — FF\DataStructures\Record
Methods
public
- __construct()
- __callStatic() — Magic wrapper for creating new fields
- __get() — Provides generic access for retrieving a form's field
- __isset() — Provides generic access for checking a form's field existence
- __set() — Provides generic access for setting a form's field
- __unset() — Provides generic access for removing a form's field
- addField() — Alias to setField()
- assign() — Assigns values to the form
- getField() — Retrieves a form field by name
- getFields()
- getValues() — Retrieves the list of plain field values
- getViolation() — Retrieves a field violation by field name
- getViolations()
- hasField() — Checks if a field is present
- hasViolation() — Checks if a violation is present by field name
- isValid() — Validates the form's state
- removeField() — Removes a field from the form
- reset() — Resets all form fields and clears all prior violations
- setField() — Sets a field
- setFields()
History
-
2019-06-27T10:06:15+02:00 (commit #2292030)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>[FEATURE] add phpmd
-
2019-06-26T12:20:49+02:00 (commit #7e593a7)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>[FEATURE] add phpcs using PSR2
-
2019-06-12T13:16:21+02:00 (commit #65b9830)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>[REFACTOR] use FF\Utils and FF\Factories instead of FF\Common
-
2019-06-02T13:03:29+02:00 (commit #068ad70)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>[CHANGE] adapt to FF\Common
-
2019-05-10T13:05:08+02:00 (commit #e36f435)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>[CHANGE] use singleton factories
-
2019-05-03T09:55:18+02:00 (commit #550b8a7)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>[REFACTOR] moved ABstractFactory to FF\Utilities
-
2019-04-25T14:54:13+02:00 (commit #76ab9a9)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>[TASK] adapt to changed base class signature
-
2019-04-16T11:25:59+02:00 (commit #d270862)
Author: Marco Stoll<EMAIL_ADDRESS>/ Commiter: Marco Stoll<EMAIL_ADDRESS>initial commit


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Websites will work on any device.
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You have to make your websites with love these days!
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class: center, middle # TDD --- # Agenda 1. Why 2. How 3. Practices 4. Practice 5. Recap --- # Why ## Be kind to you future self ## Protect what's good, also serves as a specification --- # How 1. Write a test. 2. Watch it fail 3. Solve it in a simple way 4. Make sure the tests pass 5. Make changes to structure or naming 6. Make sure the tests pass 7. goto 1 --- # Practices ## Given/when/then ## Small steps ## Park ideas ## Wishful thinking --- # Practice --- # Recap


 Martin Ritt has made cogent films for great causes but if there is a great cause here somewhere, someone will have to point it out to me. Rating: 0.
Claudia Draper (played by Barbra Streisand) is fighting for her chance to be tried for manslaughter. She believes herself to be competent to stand trial but two court-appointed psychiatrists disagree. They think that she is mentally unbalanced and when she breaks her attorney's nose in the court of law, the judge is inclined to agree with the psychiatrists. The court appoints Aaron Levinsky (played by Richard Dreyfuss) to defend Draper when her first attorney--the one with the broken nose--chooses for some reason to withdraw from the case. Levinsky also finds that it is tough to deal with a woman who carries on her shoulder a chip the size of the Grand Cooley Dam. Levinsky must prove at the pre-trial hearing that this ravening, enraged animal who is as likely to break his jaw as confer with him is actually a rational and mentally competent human.
NUTS was produced by Streisand herself. She packed the film with more familiar stars than the film really needed. Besides herself and Dreyfuss, the film also features Maureen Stapleton, Karl Malden, Eli Wallach, Robert Webber, James Whitmore, and Leslie Neilsen. Ritt does his best to give each a chance to act, but the film is too short to do that effectively. But if Streisand's character has appeal in NUTS it is because we remember Streisand from other roles. Though at the end of NUTS we may have some idea, albeit trite, of what went wrong in Claudia Draper's life, we still don't know if she is crazy or stupid--it has to be one or the other.
What is disappointing about NUTS is that after almost two hours of film I am not sure what this film was trying to say. Director Martin Ritt's previous films have been really clear and cogent arguments. His films include EDGE OF THE CITY, HUD, THE SPY WHO CAME IN FROM THE COLD, THE GREAT WHITE HOPE, SOUNDER, CONRACK, THE FRONT, and NORMA RAE. Most of those films have had something to say and they said it. NUTS seems to be trying to say something, but I have no idea what it is. I cannot associate Claudia Draper with any cause I can put a name to other than the right to act stupidly and then escape the consequences. On the other hand, Eli Wallach plays one of the villains of the piece. The audience certainly seemed to think he was a villain. I can think of nothing he did wrong but oppose the sympathetic lead. Other Ritt films have been manipulative, but at least they have been so in good cause. NUTS is manipulative (and no place so obviously as in the postscript to this fiction film), but not for any cause. Rate it a 0 on the -4 to +4 scale.
Mark R. Leeper ihnp4!mtgzz!leeper<EMAIL_ADDRESS>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
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Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


--- layout: post status: publish published: true title: Rumored 2003 Steroid List is Released author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 1060 wordpress_url: http://ivyenvy.com/?p=1060 date: '2009-06-30 00:29:48 +0000' date_gmt: '2009-06-30 06:29:48 +0000' categories: - General Baseball - The Cubs tags: - Alfonso Soriano - Aramis Ramirez - Carlos Zambrano - Corey Patterson - Derek Lee - Kerry Wood - Mark Prior - Matt Clement - Moises Alou - Milton Bradley - Steroids - Nomar Garciaparra - Cliff Floyd - Antonio Alfonseca - Gary Matthews Jr. - 2003 Steroid list comments: - id: 286 author: Andy author_email<EMAIL_ADDRESS>author_url: http://ivyenvy.com date: '2009-06-30 12:35:18 +0000' date_gmt: '2009-06-30 18:35:18 +0000' content: I'm sort of surprised by someone like Soriano, honestly. I've always had it in my head that spindly players like him have a "Bonds-esque" transformation when they use steroids. Do steroids make people grow fingers sometimes? - id: 287 author: Corey author_email<EMAIL_ADDRESS>author_url: http:// date: '2009-06-30 13:01:17 +0000' date_gmt: '2009-06-30 19:01:17 +0000' content: "We knew Garciaparra was dropping dirty because of the groin injury he sustained. The two names that surprise me (if this is true) are Derek Lee and Kerry Wood. \r\n\r\nThe name that does not surprise me, though it might surprise a lot of Cubs fans, is Aramis Ramirez. If you look at pictures of him from 3 or 4 years ago, he was much bigger than he is now." - id: 291 author: Alex author_email<EMAIL_ADDRESS>author_url: http://www.chitownloucrew.com date: '2009-07-02 22:07:29 +0000' date_gmt: '2009-07-03 04:07:29 +0000' content: I am extremely surprised to learn that people like Woodie, DLee, Prior, Z, and Ramirez were dirty. It doesn't change my feelings on any of them, but even so, it's just surprising. - id: 293 author: Corey author_email<EMAIL_ADDRESS>author_url: http:// date: '2009-07-04 09:57:16 +0000' date_gmt: '2009-07-04 15:57:16 +0000' content: Ramirez doesn't surprise me in the least. In 2005, I predicted he was juiced. He's also slimmed down quite a bit in the last few years. - id: 298 author: Tim author_email<EMAIL_ADDRESS>author_url: '' date: '2009-07-06 08:01:54 +0000' date_gmt: '2009-07-06 14:01:54 +0000' content: I've been listening to the radio an awful lot.. Thgey were talking about steroids in baseball, as Manny has just returned.. That list is either a comlete scham, which is what I think, or ESPN is way late to the game.. which doesn't seem as likely. - id: 299 author: Tim author_email<EMAIL_ADDRESS>author_url: '' date: '2009-07-06 08:06:20 +0000' date_gmt: '2009-07-06 14:06:20 +0000' content: Wow.. Reading through that thing.. It's a joke. There's a reason why nobody is talking about it other than us. I'm not buying it. - id: 300 author: Corey author_email<EMAIL_ADDRESS>author_url: http:// date: '2009-07-06 08:36:50 +0000' date_gmt: '2009-07-06 14:36:50 +0000' content: "We weren't the only people talking about it. A google search shows about 3/4 of a million hits. I wrote this post the day it was released. It was discussed in the blogging/message board world, but never really got covered in the real media. That's because they know how to filter and determine if a story is valid. We don't have those resources, so we speculate and give mention to items like this. It's what makes the blog-world interesting to fans. \r\n\r\nI was pretty clear at the beginning of this post that it might be completely false. \ I didn't really lend it any credibility. I'd be pretty shocked if the list really is accurate. If anyone read this post and thought that Ivy Envy believed the list was legitimate, they had better not get ahold of Weekly World News or The Onion.\r\n\r\nBut if over 100 MLB players tested positive, which we know is true, why do you think any particular name on there is a joke?" - id: 302 author: Andy author_email<EMAIL_ADDRESS>author_url: http:// date: '2009-07-06 11:15:36 +0000' date_gmt: '2009-07-06 17:15:36 +0000' content: Interesting that the list appears to have been removed. - id: 304 author: Tim author_email<EMAIL_ADDRESS>author_url: '' date: '2009-07-07 07:09:56 +0000' date_gmt: '2009-07-07 13:09:56 +0000' content: I don't know.. I suppose it's because I live in the United States.. Where you're innocent until proven guilty. (I learned this on Cops.) Probably the same reason why Barry Bond's will still probably make the Hall even though we all know he's most likely a roid filled bag of douche and why Rafael Palmeiro, Sammy Sosa, Roger Clemens, and Neifi Perez will have harder times getting the same treatment. He just hasn't been proved to have tested positive yet. - id: 305 author: Corey author_email<EMAIL_ADDRESS>author_url: http:// date: '2009-07-07 15:58:33 +0000' date_gmt: '2009-07-07 21:58:33 +0000' content: Bonds will not make the Hall of Fame. - id: 306 author: Corey author_email<EMAIL_ADDRESS>author_url: http:// date: '2009-07-07 17:19:35 +0000' date_gmt: '2009-07-07 23:19:35 +0000' content: The Hall of Fame is easily determined by the court of public opinion. Whether he's been found guilty of using steroids or not, the public knows he used them. The Supreme Court doesn't put guys in the Hall of Fame, journalists do...and they don't have to have any good reason to put one guy in and leave another guy out. - id: 308 author: Tim author_email<EMAIL_ADDRESS>author_url: '' date: '2009-07-08 07:30:16 +0000' date_gmt: '2009-07-08 13:30:16 +0000' content: I think Bond's will make it... Eventually. He's not going to be a first ballot guy like his numbers deserve. I think Santo has a better chance at being in there sooner, but stranger things have happened. On the subject of the Hall, I think Pete Rose needs to be in there. It's not a a Hall of Character, it's a Hall of Fame. ---
Since I'm on vacation, I'm a bit out of the loop. This may have been discussed on Chicago-based and national sports radio. It may be the biggest news in sports or it's so flimsy nobody has noticed it. I have no idea if this is true and I'd suggest you give it the same amount of credibility. Supposedly, the list of baseball players that tested positive for steroids in 2003 has been released. Some of the players with connections to the Cubs are: Nomar Garciaparra, Alfonso Soriano, Milton Bradley, Derek Lee, Cliff Floyd, Moises Alou, Corey Patterson, Carlos Zambrano, Mark Prior, Kerry Wood, Matt Clement, Antonio Alfonseca, Gary Matthews Jr and Aramis Ramirez.
If the list is accurate, some of those names don't surprise me and some shock me....even though they probably shouldn't.
Weigh in with your opinions here. Which names surprise you and which names don't?


Chapter 5 Case Study: ER Injuries
Exercise 5.8.1
Draw the reactive graph for each app.
Solution. Solution
Prototype
The prototype application has a single input, input$code
, which is used to
generate the selected()
reactive. This reactive is used directly in 3
outputs, output$diag
, output$body_part
, and output$location
, and it is
also used indirectly in the output$age_sex
plot via the summary()
reactive.
Rate vs. Count
Building on the prototype, we create a second input input$y
which is used
along with the summary()
reactive to create the output$age_sex
plot.
Narrative
Building on the application once more, we create an output$narrative
that
depends on the selected()
reactive and a new input, input$story
.
Exercise 5.8.2
What happens if you flip fct_infreq()
and fct_lump()
in the code that
reduces the summary tables?
Solution. Solution
As in the book, we will use the datasets injuries
, products
, and
population
appearing here:
https://github.com/hadley/mastering-shiny/blob/master/neiss/data.R.
Flipping the order of fct_infreq()
and fct_lump()
will only change the
factor levels order. In particular, the function fct_infreq()
orders the
factor levels by frequency, and the function fct_lump()
also orders the
factor levels by frequency but it will only keep the top n
factors and label
the rest as Other
.
Let us look at the top five levels in terms of count within the diag
column
in the injuries
dataset:
## # A tibble: 5 x 2
## # Groups: diag [5]
## diag n
## <chr> <int>
## 1 Other Or Not Stated 44937
## 2 Fracture 43093
## 3 Laceration 39230
## 4 Strain, Sprain 37002
## 5 Contusion Or Abrasion 35259
If we apply fct_infreq()
first, then it will reorder the factor levels in
descending order as seen in the previous output. If afterwards we apply
fct_lump()
, then it will lump together everything after the nth most commonly
seen level.
## [1] "Other Or Not Stated" "Fracture" "Laceration"
## [4] "Strain, Sprain" "Contusion Or Abrasion" "Other"
Conversely, if we apply fct_lump()
first, then it will label the most
frequently seen factor level as “Other”. If afterwards we apply fct_infreq()
,
then it will label the first level as “Other” and not as “Other Or Not Stated”,
which was the case for the previous code.
## [1] "Other" "Other Or Not Stated" "Fracture"
## [4] "Laceration" "Strain, Sprain" "Contusion Or Abrasion"
Exercise 5.8.3
Add an input control that lets the user decide how many rows to show in the summary tables.
Solution. Solution
Our function count_top
is responsible for grouping our variables into a set
number of factors, lumping the rest of the values into “Other”. The function
has an argument n
which is set to 5
. By creating a numericInput
called
rows
we can let the user set the number of fct_infreq
dynamically. However,
because fct_infreq
is the number of factors + Other
, we need to subtract 1
from what the user selects in order to display the number of rows they input.
library(shiny)
library(forcats)
library(dplyr)
library(ggplot2)
# Note: these exercises use the datasets `injuries`, `products`, and
# `population` as created here:
# https://github.com/hadley/mastering-shiny/blob/master/neiss/data.R
count_top <- function(df, var, n = 5) {
df %>%
mutate({{ var }} := fct_lump(fct_infreq({{ var }}), n = n)) %>%
group_by({{ var }}) %>%
summarise(n = as.integer(sum(weight)))
}
ui <- fluidPage(
fluidRow(
column(8, selectInput("code", "Product",
choices = setNames(products$prod_code, products$title),
width = "100%")
),
column(2, numericInput("rows", "Number of Rows",
min = 1, max = 10, value = 5)),
column(2, selectInput("y", "Y Axis", c("rate", "count")))
),
fluidRow(
column(4, tableOutput("diag")),
column(4, tableOutput("body_part")),
column(4, tableOutput("location"))
),
fluidRow(
column(12, plotOutput("age_sex"))
),
fluidRow(
column(2, actionButton("story", "Tell me a story")),
column(10, textOutput("narrative"))
)
)
server <- function(input, output, session) {
selected <- reactive(injuries %>% filter(prod_code == input$code))
# Find the maximum possible of rows.
max_no_rows <- reactive(
max(length(unique(selected()$diag)),
length(unique(selected()$body_part)),
length(unique(selected()$location)))
)
# Update the maximum value for the numericInput based on max_no_rows().
observeEvent(input$code, {
updateNumericInput(session, "rows", max = max_no_rows())
})
table_rows <- reactive(input$rows - 1)
output$diag <- renderTable(
count_top(selected(), diag, n = table_rows()), width = "100%")
output$body_part <- renderTable(
count_top(selected(), body_part, n = table_rows()), width = "100%")
output$location <- renderTable(
count_top(selected(), location, n = table_rows()), width = "100%")
summary <- reactive({
selected() %>%
count(age, sex, wt = weight) %>%
left_join(population, by = c("age", "sex")) %>%
mutate(rate = n / population * 1e4)
})
output$age_sex <- renderPlot({
if (input$y == "count") {
summary() %>%
ggplot(aes(age, n, colour = sex)) +
geom_line() +
labs(y = "Estimated number of injuries") +
theme_grey(15)
} else {
summary() %>%
ggplot(aes(age, rate, colour = sex)) +
geom_line(na.rm = TRUE) +
labs(y = "Injuries per 10,000 people") +
theme_grey(15)
}
})
output$narrative <- renderText({
input$story
selected() %>% pull(narrative) %>% sample(1)
})
}
shinyApp(ui, server)
Exercise 5.8.4
Provide a way to step through every narrative systematically with forward and backward buttons.
Advanced: Make the list of narratives “circular” so that advancing forward from the last narrative takes you to the first.
Solution. Solution
We can add two action buttons prev_story
and next_story
to iterate through the
narrative. We can leverage the fact that whenever you click an action button in Shiny, the button stores how many times that button has been clicked. To caculate the index of the current story, we can subtract the stored count of the next_story
button from the previous_story
button. Then, by using the modulus operator, we can increase the current position in the narrative while never go beyond the interval [1, length of the narrative].
library(shiny)
library(forcats)
library(dplyr)
library(ggplot2)
# Note: these exercises use the datasets `injuries`, `products`, and
# `population` as created here:
# https://github.com/hadley/mastering-shiny/blob/master/neiss/data.R
count_top <- function(df, var, n = 5) {
df %>%
mutate({{ var }} := fct_lump(fct_infreq({{ var }}), n = n)) %>%
group_by({{ var }}) %>%
summarise(n = as.integer(sum(weight)))
}
ui <- fluidPage(
fluidRow(
column(8, selectInput("code", "Product",
choices = setNames(products$prod_code, products$title),
width = "100%")
),
column(2, numericInput("rows", "Number of Rows",
min = 1, max = 10, value = 5)),
column(2, selectInput("y", "Y Axis", c("rate", "count")))
),
fluidRow(
column(4, tableOutput("diag")),
column(4, tableOutput("body_part")),
column(4, tableOutput("location"))
),
fluidRow(
column(12, plotOutput("age_sex"))
),
fluidRow(
column(2, actionButton("prev_story", "Previous story")),
column(2, actionButton("next_story", "Next story")),
column(8, textOutput("narrative"))
)
)
server <- function(input, output, session) {
selected <- reactive(injuries %>% filter(prod_code == input$code))
# Find the maximum possible of rows.
max_no_rows <- reactive(
max(length(unique(selected()$diag)),
length(unique(selected()$body_part)),
length(unique(selected()$location)))
)
# Update the maximum value for the numericInput based on max_no_rows().
observeEvent(input$code, {
updateNumericInput(session, "rows", max = max_no_rows())
})
table_rows <- reactive(input$rows - 1)
output$diag <- renderTable(
count_top(selected(), diag, n = table_rows()), width = "100%")
output$body_part <- renderTable(
count_top(selected(), body_part, n = table_rows()), width = "100%")
output$location <- renderTable(
count_top(selected(), location, n = table_rows()), width = "100%")
summary <- reactive({
selected() %>%
count(age, sex, wt = weight) %>%
left_join(population, by = c("age", "sex")) %>%
mutate(rate = n / population * 1e4)
})
output$age_sex <- renderPlot({
if (input$y == "count") {
summary() %>%
ggplot(aes(age, n, colour = sex)) +
geom_line() +
labs(y = "Estimated number of injuries") +
theme_grey(15)
} else {
summary() %>%
ggplot(aes(age, rate, colour = sex)) +
geom_line(na.rm = TRUE) +
labs(y = "Injuries per 10,000 people") +
theme_grey(15)
}
})
# Store the maximum posible number of stories.
max_no_stories <- reactive(length(selected()$narrative))
# Reactive used to save the current position in the narrative list.
story <- reactiveVal(1)
# Reset the story counter if the user changes the product code.
observeEvent(input$code, {
story(1)
})
# When the user clicks "Next story", increase the current position in the
# narrative but never go beyond the interval [1, length of the narrative].
# Note that the mod function (%%) is keeping `current`` within this interval.
observeEvent(input$next_story, {
story((story() %% max_no_stories()) + 1)
})
# When the user clicks "Previous story" decrease the current position in the
# narrative. Note that we also take advantage of the mod function.
observeEvent(input$prev_story, {
story(((story() - 2) %% max_no_stories()) + 1)
})
output$narrative <- renderText({
selected()$narrative[story()]
})
}
shinyApp(ui, server)


MPI provides the user with reliable message transmission. A message sent is always received correctly, and the user does not need to check for transmission errors, time-outs, or other error conditions. In other words, MPI does not provide mechanisms for dealing with failures in the communication system. If the MPI implementation is built on an unreliable underlying mechanism, then it is the job of the implementor of the MPI subsystem to insulate the user from this unreliability, or to reflect unrecoverable errors as failures. Whenever possible, such failures will be reflected as errors in the relevant communication call. Similarly, MPI itself provides no mechanisms for handling processor failures.
Of course, MPI programs may still be erroneous. A program error can occur when an MPI call is made with an incorrect argument (non-existing destination in a send operation, buffer too small in a receive operation, etc.). This type of error would occur in any implementation. In addition, a resource error may occur when a program exceeds the amount of available system resources (number of pending messages, system buffers, etc.). The occurrence of this type of error depends on the amount of available resources in the system and the resource allocation mechanism used; this may differ from system to system. A high-quality implementation will provide generous limits on the important resources so as to alleviate the portability problem this represents.
In C and Fortran, almost all MPI calls return a code that indicates successful completion of the operation. Whenever possible, MPI calls return an error code if an error occurred during the call. By default, an error detected during the execution of the MPI library causes the parallel computation to abort, except for file operations. However, MPI provides mechanisms for users to change this default and to handle recoverable errors. The user may specify that no error is fatal, and handle error codes returned by MPI calls by himself or herself. Also, the user may provide his or her own error-handling routines, which will be invoked whenever an MPI call returns abnormally. The MPI error handling facilities are described in Section Error Handling . The return values of C++ functions are not error codes. If the default error handler has been set to MPI::ERRORS_THROW_EXCEPTIONS, the C++ exception mechanism is used to signal an error by throwing an MPI::Exception object. See also Section Exceptions on page Exceptions . Several factors limit the ability of MPI calls to return with meaningful error codes when an error occurs. MPI may not be able to detect some errors; other errors may be too expensive to detect in normal execution mode; finally some errors may be ``catastrophic'' and may prevent MPI from returning control to the caller in a consistent state.
Another subtle issue arises because of the nature of asynchronous communications: MPI calls may initiate operations that continue asynchronously after the call returned. Thus, the operation may return with a code indicating successful completion, yet later cause an error exception to be raised. If there is a subsequent call that relates to the same operation (e.g., a call that verifies that an asynchronous operation has completed) then the error argument associated with this call will be used to indicate the nature of the error. In a few cases, the error may occur after all calls that relate to the operation have completed, so that no error value can be used to indicate the nature of the error (e.g., an error on the receiver in a send with the ready mode). Such an error must be treated as fatal, since information cannot be returned for the user to recover from it.
This document does not specify the state of a computation after an erroneous MPI call has occurred. The desired behavior is that a relevant error code be returned, and the effect of the error be localized to the greatest possible extent. E.g., it is highly desirable that an erroneous receive call will not cause any part of the receiver's memory to be overwritten, beyond the area specified for receiving the message.
Implementations may go beyond this document in supporting in a meaningful manner MPI calls that are defined here to be erroneous. For example, MPI specifies strict type matching rules between matching send and receive operations: it is erroneous to send a floating point variable and receive an integer. Implementations may go beyond these type matching rules, and provide automatic type conversion in such situations. It will be helpful to generate warnings for such non-conforming behavior.
MPI defines a way for users to create new error codes as defined in Section Error Classes, Error Codes, and Error Handlers .


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Roof party fap synth meh bushwick. Stumptown cray farm-to-table celiac marfa, ugh chillwave DIY everyday carry. Seitan wolf taxidermy fanny pack, gastropub activated charcoal la croix bitters. Four dollar toast umami echo park post-ironic pop-up man braid. Try-hard normcore tofu, chartreuse next level mlkshk gluten-free chicharrones prism vegan glossier seitan health goth banjo.


Data Analyst with background in Mechanical Engineering, Business Development and Project Management. While at UC Berkeley
Data Analyst with background in Mechanical Engineering, Business Development and Project Management. While at UC Berkeley I conducted Financial data analysis research through Python using Public data to predict profits outcome on test data set, then worked with subsets of “revenue” to determine average, normal distribution impact overtime with given metrics. Through this research, I was able to outline the odds for future purchases by Gender, Item, Demographic and Persona. This project, along with others, helped me realize I wanted to use my Creative and Management skills within a company to help develop great products.
I earned a certificate in Data Visualization from Berkeley where I worked with various types of libraries’, programming in Python and SQL, manipulating Pandas dataframes and visualizing the results in Matplotlib. I believe these skills combined with my leadership and business acumen make me an advantageous candidate and good fit for any firm.
Data TextMining-SentmentAnalysis--Twitter
Create a scripit using Python that extract Tweets related to the prime minister of India, "Narendra Modi" and get Insights about his popularity.
Data TextMining-SentmentAnalysis--Twitter
Create a scripit using Python that extract Tweets related to the prime minister of India, "Narendra Modi" and get Insights about his popularity.
Data TextMining-SentmentAnalysis--Twitter
Create a scripit using Python that extract Tweets related to the prime minister of India, "Narendra Modi" and get Insights about his popularity.
python3
CSS
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HTML
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HTML
CSS
JavaScript


This is my webpage
Hello World!
bing -> robinxyuan
This is my webpage
text()
html()
val()
attr()
Call Back


Home at last. Jet, a mule deer doe, has finally arrived on her winter range in Wyoming's Red Desert. Most of her herd have already made it to winter range although there are still a few stragglers as far north as Pinedale and the Prospect Mountains. This fall, she traveled approximately 130 miles in 38 days. So began the fall migration of one individual deer that scientists from the University of Wyoming captured last spring. During the capture, they fitted the doe with a GPS collar that updates coordinates to a website every few hours. They named her “Jet” and she’s been the subject of Twitter and Facebook updates all year.
“Jet” is just one of an estimated 5,000 deer that annually migrate from the highlands of the Hoback Basin region in summer to the scrubland of the Red Desert in winter. It’s the longest known migration of mule deer in the United States, and probably the most studied.
For the doe, the 50-some miles she had traveled were marked by mountains, rivers, plains, and dozens of man made obstacles like fences and roads. To humans, the area is a patchwork of United States Forest Service land, Bureau of Land Management parcels, state and private land.
Source.


QuickFIX also has a scriptable test runner that comes with a series of automated acceptance test.
The basic tests that come with QuickFIX are based off of the
FIX Session-level Test Cases and Expected Behaviors document produced by the FIX protocol organization.
These tests verify that QuickFIX adheres to the FIX specifications. The automated nature of these tests
guarantees that future releases of QuickFIX will not break any current functionality.
Perhaps even more importantly is how these test are used to drive the development of QuickFIX. Before a
line of code is written in support of a protocol feature, one of these tests is written. This test
first approach sets up a goal for developers who will have objective verification that they correctly
implemented the standard.
Below is an example of a test script that tests the engines behavior when it receives a NewSeqNo value
that is less than the expected MsgSeqNum.
iCONNECT
I8=FIX.4.235=A34=149=TW52=
# sequence reset without gap fill flag (default to N)
I8=FIX.4.235=434=049=TW52=
# sequence reset without gap fill flag (default to N)
I8=FIX.4.235=434=049=TW52=56=ISLD36=1123=N
E8=FIX.4.29=11235=334=449=ISLD52=00000000-00:00:0056=TW45=058=Value is incorrect (out of range) for this tag372=4373=510=0
I8=FIX.4.235=134=349=TW52=56=ISLD112=HELLO
E8=FIX.4.29=5535=034=549=ISLD52=00000000-00:00:0056=TW112=HELLO10=0
iDISCONNECT
In these script there are two types of commands, action commands and messages commands. Action commands
begin with lowercase letters while message command begin with uppercase letters.
Action Commands
i<ACTION> - initiates an action e<ACTION> - expect (wait for) an action
Supported actions are:
iCONNECT - initiate connection to a FIX acceptor eCONNECT - expect a connection from a FIX initiator iDISCONNECT - initiate a disconnect eDISCONNECT - expect a disconnect
Message Commands
I<MESSAGE> - initiate (send) a message E<MESSAGE> - expect (wait for) a message
When using the I command, you do not need to add the Length(9) or the CheckSum(10) fields,
they will be added for you with the correct values in the appropriate locations. The only time you
would add these fields is if you intentionally wish to make them incorrect.
The I command also provides a TIME macro for fields. By setting a field equal to <TIME>,
the current system time will be placed in the field. (i.e. 52=). You can also use offsets such as
52=<TIME-120> or 52=<TIME+15> in order to set the time plus or minus some seconds from the current time.
The E command verifies that you have received the correct message. This command will compare
the values of each field to make sure they are correct. Some fields cannot be verified deterministically before
run-time such as the SendingTime and CheckSum fields. These fields can be added to the fields.fmt file
where a regular expression can be defined to at least verify the field is in the correct format. For example:
10=\d{3}, checksum must be exactly three digits
52=\d{8}-\d{2}:\d{2}:\d{2}, sending time must be in the form of DDDDDDDD-DD:DD:DD where D is a digit.
Either command can contain a FILE macro which puts the contents of a file into a field (i.e. 58=<FILE:test.txt>)


This text is the main message after the message attachment, and can contain standard message
markup.
The content may contain user "mentions" and highlights.
mattermostSend prext: "@foo @bar" color: "#439FE0", message: "Build Started: ${env.JOB_NAME}
${env.BUILD_NUMBER}"


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Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
“Beurre blanc”, French for “white butter” is a classic French sauce of emulsified butter and reduced vinegar and wine. It makes a delicious accompaniment to red mullet fillets, garnished with pretty yellow cucumber flowers and borage cress.
Heat a dry non-stick pan and put the cucumber quarters seed side down in the pan. Leave them that way until seared and toasted. Add a knob of the butter and a pinch of salt to the pan and turn the cucumber over. Continue to cook for a few more minutes. Remove and set aside.
Heat a saucepan and add the shallots, wine and vinegar and cook until the shallots are soft. Transfer to a blender or food processor and blend until smooth. Pass through a sieve.
Add a tablespoon of the shallot purée and the cream to a separate pan. Heat the shallot cream, then add the diced butter a bit at a time.
Once fully incorporated, season with salt, cayenne pepper and lemon juice.
Heat a medium frying pan and add the oil. Once hot, add the fillets and cook for two minutes on each side. (Add a knob of butter and a squeeze of lemon juice towards the end if you want to add more flavour. Spoon the melted butter over the fish.)
To serve, place the seared cucumber on each plate, then lay the fish next to the cucumber.
Dress with the sauce and cress and flowers.


Here, I want to use an example dataset that ships with ssvepy
In [1]:
import mne
import ssvepy
# get an example data set:
from ssvepy.exampledata import epoch_example
Reading /Users/jan/Dropbox/Documents/side-projects/ssvepy/ssvepy/exampledata/example-epo.fif ...
Isotrak not found
Found the data of interest:
t = 0.00 ... 15996.09 ms
0 CTF compensation matrices available
16 matching events found
16 matching events found
0 projection items activated
This is a file that’s already pre-processed and epoched. You can check it’s details like this:
In [3]:
epoch_example
Out[3]:
<EpochsFIF | n_events : 16 (all good), tmin : 0.0 (s), tmax : 15.99609375 (s), baseline : (0.0, 0.0), ~32.1 MB, data loaded,
'101': 1, '103': 1, '104': 1, '108': 1, '109': 1, '110': 1, '115': 1, '116': 1, '202': 1, '205': 1, '206': 1, '207': 1, '211': 1, '212': 1, '213': 1, '214': 1>
In this data, the subject was stimulated at 6 Hz, with every 5th image (i.e. at 1.2 Hz) being a face. So we have two stimulation frequencies: 1.2 and 6 Hz.
We can create an SSVEP analysis structure like this:
In [4]:
ssvep_example = ssvepy.Ssvep(epoch_example, [1.2, 6.0], fmin=0.5, fmax=30)
/Users/jan/Dropbox/Documents/side-projects/ssvepy/ssvepy/ssvepyepochs.py:142: RuntimeWarning: invalid value encountered in less_equal
for freq in freqs.flat],
/Users/jan/Dropbox/Documents/side-projects/ssvepy/ssvepy/ssvepyepochs.py:142: RuntimeWarning: invalid value encountered in greater_equal
for freq in freqs.flat],
/Users/jan/Dropbox/Documents/side-projects/ssvepy/ssvepy/ssvepyepochs.py:142: RuntimeWarning: Mean of empty slice.
for freq in freqs.flat],
/Library/anaconda/envs/py36/lib/python3.6/site-packages/numpy/core/_methods.py:73: RuntimeWarning: invalid value encountered in true_divide
ret, rcount, out=ret, casting='unsafe', subok=False)
/Users/jan/Dropbox/Documents/side-projects/ssvepy/ssvepy/ssvepyepochs.py:123: RuntimeWarning: invalid value encountered in less_equal
stimband = ((self.freqs <= freq + self.frequency_resolution) &
/Users/jan/Dropbox/Documents/side-projects/ssvepy/ssvepy/ssvepyepochs.py:124: RuntimeWarning: invalid value encountered in greater_equal
(self.freqs >= freq - self.frequency_resolution))
/Users/jan/Dropbox/Documents/side-projects/ssvepy/ssvepy/ssvepyepochs.py:126: RuntimeWarning: invalid value encountered in less_equal
(self.freqs >= freq - self.noisebandwidth) &
/Users/jan/Dropbox/Documents/side-projects/ssvepy/ssvepy/ssvepyepochs.py:126: RuntimeWarning: invalid value encountered in greater_equal
(self.freqs >= freq - self.noisebandwidth) &
/Users/jan/Dropbox/Documents/side-projects/ssvepy/ssvepy/ssvepyepochs.py:128: RuntimeWarning: Mean of empty slice.
snr.append(self.psd[..., stimband].mean(axis=-1) /
/Users/jan/Dropbox/Documents/side-projects/ssvepy/ssvepy/ssvepyepochs.py:129: RuntimeWarning: Mean of empty slice.
self.psd[..., noiseband].mean(axis=-1))
You can check, for example, what the power at the stimulation frequency was (averaged over all electrodes):
In [4]:
ssvep_example.stimulation.power.mean()
Out[4]:
3.2258907579264815e-09
We can also check all the harmonic frequencies in your frequency range. You can investigate the frequencies, which order the frequencies are, and what the frequency power was.
In [6]:
ssvep_example.harmonic.frequencies
Out[6]:
array([[ 12., 18., 24., 30.]])
In [7]:
ssvep_example.harmonic.orders
Out[7]:
array([2, 3, 4, 5])
The numpy array that contains the power values has the following dimensions:
We can work out the power at these frequencies by averaging over epochs and electrodes.
There is an array with the same dimensions that holds the signal-to-noise ration for the harmonic frequencies, too.
In [8]:
print(ssvep_example.harmonic.power.shape)
ssvep_example.harmonic.power.mean(axis=(0, 1))
(16, 64, 4)
Out[8]:
array([ 7.32671447e-10, 2.48359140e-10, 1.20176901e-10,
7.01583927e-11])
In [9]:
print(ssvep_example.harmonic.snr.shape)
ssvep_example.harmonic.snr.mean(axis=(0, 1))
(16, 64, 4)
Out[9]:
array([ 1.68739754, 1.23014751, 1.07890902, 0.94730138])
As you can see, the signal amplitude and signal-to-noise ratio decreases with each harmonic, with the fourth harmonic (24 Hz) already having almost no signal.
The calculation for this SNR is by default done by dividing the average
power at a given frequency and dividing it by the average power in a 1
Hz band around it. You can set the width of this noise band yourself
when you create the Ssvep
class.
We can easily visualise both the power spectrum and the SNR spectrum:
In [10]:
ssvep_example.plot_psd()
In [11]:
ssvep_example.plot_snr()
Note: the red line is the average of all electrodes, the blue lines are individual electrode. By default, all the evoked frequencies that have been evaluated (fundamental, harmonic, subharmonic) are indicated by vertical lines (the stimulation frequency, and the harmonics / subharmonics.
We can also visualise this on a scalp plot. This usually requires you to have set the montage of the raw / epoched data before you create the ssvep analysis data structure:
In [10]:
ssvep_example.topoplot_snr()
In [11]:
ssvep_example.topoplot_psd()
Just to compare, we can also plot the signal-to-noise-ratio for a random
frequency using the flims
parameter. To compare it to the SNR plot
above we can set the vmax
to something in line with the previous
plot:
In [10]:
ssvep_example.topoplot_snr(flims=15, vmax=3.5)
And again, you can plot these for the non-linear products of the stimulation frequency:
In [13]:
ssvep_example.topoplot_snr(flims='harmonic', figsize=(12, 10))
You can also explore the time-frequency relationship of your entrained
frequencies. This uses the recursive-least-squares method (described in
Tang & Norcia, 1995). By default turned off, you can enable it by
passing the argument compute_tfr=True
during class creation. It
takes a while, but will evaluate the time-frequency relationship of all
the evoked frequencies you specified.
The resulting data has the dimensions of MNE-standard frequency data:
In [2]:
ssvep_example = ssvepy.Ssvep(epoch_example, 6.0, fmin=2, fmax=30, compute_tfr=True)
print(ssvep_example.stimulation.tfr.shape)
(16, 64, 1, 4096)
In [3]:
ssvep_example.plot_tfr()
You can also use your evoked frequeny data for classification. Ssvepy can do two types of classification: It can classify an epoch, based on a model trained on other epoch data, and it can classify timepoints, based on other timepoints. I will first show you how to classify epochs.
In the example data, on half the trials (trigger code 1XX), faces were rhythmically presented at 1.2 Hz. During the other half, faces were presented at completely random intervals, meaning there was no 1.2 Hz rhythm. Here, we’ll see if we can use SSVEPs to classify these trials.
(NB: this is not best practice. There were only 16 trials here, which is not usually enough for machine learning classification to make any sense. But this is just a demonstration.)
For this, we need a list of labels. This list needs to have the exact same size as the number of epochs in our ssvep structure. Since the trial labels were effectively encoded in the trigger codes, I can use this to construct a list of labels:
In [5]:
labels = (epoch_example.events[:, -1] // 100) - 1
labels
Out[5]:
array([0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0], dtype=int32)
We can use these labels to train a model, and it will return a predicted label for each trial, as well as a score. It will use the average signal-to-noise ratio for each epoch, for each electrode, for each evoked frequency (including stimulation, and all intermodulation/subharmonic frequencies).
By default, it uses sklearn.linear_model.LogisticRegressionCV
, a
linear logistic regression model that will use cross-validation to
optimise the parameters and avoid overfitting.
In [6]:
predictions = ssvep_example.predict_epochs(labels)
print(labels)
print(predictions)
print((labels==predictions).mean())
[0 1 0 0 1 1 1 0 0 0 1 1 1 1 0 0]
[0 1 0 0 1 1 1 0 0 0 1 1 1 1 0 0]
1.0
We can also provide a different algorithm for classifying the epochs -
they have to follow the scikit learn standard of being classes with a
fit(X, y)
, predict(X)
and score(X, y)
method, but otherwise
could be anything. Let’s try a different scikit learn algorithm:
In [7]:
import sklearn.svm
predictions = ssvep_example.predict_epochs(labels, method=sklearn.svm.SVC())
print(labels)
print(predictions)
print((labels==predictions).mean())
[0 1 0 0 1 1 1 0 0 0 1 1 1 1 0 0]
[0 1 0 0 1 1 1 0 0 0 1 1 1 1 0 0]
1.0
In [ ]:


I go by the name Caleb Mwangi. Family and friends prefer calling me CK.
I have done a Diploma in ICT excercised in various career levels.
I am passionate about Technology and this is the basic reason why I joined programming class.
Im interested in anything adventorous however risky or safe.
My hobbies include and not limited to: coding, driving, and making friends.
I am skilled in playing football and coding
Photography is a way of feeling, touching, and of loving. What you have caught on film is captured forever. Developed using HTML and CSS.
There is something profoundly satisfying about shairing a meal. Eating togather, breaking bread together, one of the oldest and most fundamentally unifying of human experiences. Developed using HTML and CSS.
The greatest issue of finance is reconciling gross spends to gross income. Developed using HTML and CSS


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{% from "security/_macros.html" import render_field_with_errors, render_field %} {% include "security/_messages.html" %} {% extends "layouts/layout.html" %} {% block page_content %}


This framework provides to the application developers the following functionalities (among others).
To use this framework just include the packages you need in your project and go.
It is composed by the following components provided as NuGet packages.
Technical documentation can be found here: Inetdev Framework Std class library.
The core component and the root of all other packages.
The data component that allows the development of domain model objects, data services, ORM and more, in a database agnostics way, so the code can be used for any database engine.
This package provides components that transparantly allows the developer to store application data in a MySql database.
This package provides components that transparantly allows the developer to store the application data in an Oracle database.
This package provides components that transparantly allows the developer to store the application data in a SQLite database.
This package provides components that transparantly allows the developer to store the application data in a Microsoft Sql Server database.
This package provides access and services to generate and process data model modification auditing information.
This package provides common models and services usefull for develop CLI applications.
This package provides common components, domain object models, their data services, a numerator, a parameter store and a property bag service, usefull for many applications.
The domain object models from this library are backed up by tables which schema can be found here.
This packages provides common models usefull for many applications.
Provides components for multi-tenenat applications.
The domain object models from this library are backed up by tables which schema can be found here.
Provides common models and components usefull for many web applications.
Provides components for building Asp.Net applications that uses Microsoft .NET Framework.
Provides components for building Asp.Net Core applications.
Provides components for multi-tenant Asp.Net Core applications like model binders, tenant providers and more.
You develop an application by creating class libraries that will contain the application business logic, data model objects and data services.
This class library will reference (at a minimum) the core and the data component, this will made the application database agnostic.
Then you will create a web application (or other kind: UWP, Console, etc.) for the user interface and within this (the deployable binaries) you will include the components for the database to use (Oracle or Sql Server, etc.) and use the IoC container to inyect an appropiate set of components according to the actual environment.
From the home page of this documentation explore the framework topics like configuration, domain object models, data services, ORM, etc. or see the technical documentation.
In this document


| I l@ve RuBoard |
19.1 "I Am Lost at C"So far in this book, we've been using Python as it comes out of the box. We have used interfaces to services outside Python, and coded extensions as Python modules. But we haven't added any external services beyond the built-in set. For many users, this makes perfect sense: such standalone programming is one of the main ways people apply Python. As we've seen, Python comes with batteries included -- interfaces to system tools, Internet protocols, GUIs, filesystems, and much more. But for many systems, Python's ability to integrate with C-compatible components is a crucial feature of the language. In fact, Python's role as an extension and interface language in larger systems is one of the reasons for its popularity and why it is often called a "scripting" language. Its design supports hybrid systems that mix components written in a variety of programming languages. Because different languages have different strengths, being able to pick and choose on a component-by-component basis is a powerful concept. You can add Python to the mix anywhere you need an easy-to-use and flexible language tool. For instance, compiled languages such as C and C++ are optimized for speed of execution, but are complex to program -- for developers, but especially for end users. Because Python is optimized for speed of development, using Python scripts to control or customize software components written in C or C++ can yield more flexible systems and dramatically faster development modes. Systems designed to delegate customizations to Python scripts don't need to be shipped with full source code and don't require end users to learn complex or proprietary languages. Moreover, moving selected components of a pure Python program to C can optimize program performance. 19.1.1 Integration TopicsThe last two technical chapters of this book introduce Python's tools for interfacing to the outside world, and discuss both its ability to be used as an embedded language tool in other systems and its interfaces for extending Python scripts with new modules and types implemented in C-compatible languages. I'll also summarize other integration techniques that are less C-specific, such as COM and JPython. When you mix Python with C components, either Python or C can be "on top." Because of that, there are two distinct integration APIs:
This chapter covers extending, and the next explores embedding. Some systems use only one scheme, but many use both. For instance, embedded Python code run from C can also use linked-in C extensions to interface with the enclosing application. And in callback-based systems, C code accessed through extending interfaces may later use embedding techniques to run Python callback handlers. Python has an open and reentrant architecture that lets you mix languages arbitrarily. Before we get into details, I should mention that Python/C integration is a big topic -- in principle, the entire set of extern C functions in the Python system makes up its runtime interface. The next two chapters concentrate only on the tools commonly used to implement integration with external modules. For additional examples beyond this book and its CD (view CD-ROM content online at http://examples.oreilly.com/python2), see the Python source code itself; its Modules and Objects directories are a wealth of code resources. Most of the Python built-ins we have used in this book -- from simple things such as integers and strings to more advanced tools such as files, system calls, Tkinter, and DBM -- utilize integration APIs and can be studied in Python's source code distribution. These chapters assume that you know basic C programming concepts. If you don't, you won't miss much by skipping or skimming these chapters. Typically, C developers code the extending and embedding interfaces of a system, and others do the bulk of the system's programming with Python alone. But if you know enough about C programming to recognize a need for an extension language, you probably already have the required background knowledge for this chapter. The good news in both chapters is that much of the complexity inherent in integrating Python with a static compiled language like C can be automated with tools such as SWIG in the extension domain, and higher-level APIs in the embedding world. |
| I l@ve RuBoard |


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import viewmodels.{AnswerSection} @import controllers.routes._ @this( layout: templates.LayoutProvider, answerSection: playComponents.answer_section, govukWarningText : GovukWarningText ) @(answerSections: Seq[AnswerSection])(implicit request: Request[_], messages: Messages) @layout( pageTitle = messages("checkYourAnswers.title") ) { @playComponents.heading(messages("checkYourAnswers.heading"))
@messages(s"checkYourAnswers.disclaimer")
@govukWarningText(WarningText( iconFallbackText = "Warning", content = Text(messages("checkYourAnswers.prosecuted")) )) @playComponents.button_link(CheckYourAnswersController.acceptAndClaim.url, "checkYourAnswers.submit") }


On 3rd September, a Reddit user, Sick Silk, pointed out that around $100 million [$1 billion] worth Bitcoin has been transferred to Bitfinex, Binance and BitMEX. This comes in the limelight right when the cryptocurrency market has started to show signs of a bullish market. Th...


{% include "patterns/atoms-s3/panel/panel.html" with field=panel %}
What happens next
You will need to start recording your vehicle's journeys on 01 March 2020
You will get an email reminder 24 hours before to example@email.com


CIX drop dark MV for 'Numb'
by germainejCIX have dropped their dark music video for "Numb".
The MV follows the CIX members in a classroom as they face darkness in their lives. "Numb" is about wanting to return to days where everything felt more innocent, and it's the title song of their second mini album 'Hello Chapter 2: Hello, Strange Place'.
Watch CIX's "Numb" MV above, and let us know what you think in the comments below.


Edit Mode - Operate on selected segments
Choose Mode from BarMenu and click Edit, or
Press , or PageDn from any GIN mode.
Press Numeric Keys to execute:
0 Options Edit-Options.
1 Pivot Sets a pivot or reference point for following operations:
2 RotCCW Rotates buffer clockwise.
3 RotCW Rotates buffer counterclockwise.
4-4 Move Moves the buffer to the cursor relative to the pivot point.
5-5 Copy Copies the buffer at the cursor relative to the pivot point.
6 Flip Flips the buffer about the pivot point.
7 Reduce Reduces the size of the buffer.
8 Enlarge Enlarges the size of the buffer.
A buffer is a subset of segments assembled from those in the Workfile.
Trap mode is used to assemble the segments into the buffer.
Edit mode operations allow you to manipulate the subset as a single entity.
The parameters used for the increments of Rotation, Resizing, and the Flip axis are selected from Edit 0 .
There is always a Pivot Point relative to the buffer . It is set automatically when the buffer is trapped. All rotation, translation, sizing, and copying operations are done relative to the pivot point. It is displayed as a marker on the drawing. It can be reset to any point in space.
You can also set the Pivot using the Home - Pivot function.
Buffer is flushed on file commands: Cloak Close Map View Get


| I l@ve RuBoard |
Python provides excellent supports for communications tasks of all kinds, including serial I/O and network programming. While the concepts and interfaces in Python are similar to those in C, Python is very successful at hiding a lot of the mess you deal with working at the C level, and lets you concentrate on the problem. Since communications channels generally run much slower than the host PCs, there is no need to work at a lower level.
| I l@ve RuBoard |


Education
Hunter College, UPP | Master of Urban Planning | 2017
University of Illinois at Chicago | B.A. in English | 2010
Software
QGIS, ArcGIS Pro, Python, JavaScript, Jupyter Notebook, Git, Pandas, SQL,
PostGIS, Flask, Excel, InDesign, Illustrator, Photoshop, SketchUp, AutoCAD
Experience
Transportation Specialist | NYC Department of Transportation
NYC | April 2022 - Present
Develop a set of Python scripts and tools that streamline data management, asset tracking, and content creation processes critical to the Street Furniture Unit, which oversees NYC DOT's bike racks, bike corrals, benches, leaning bars, and WalkNYC Wayfinding programs.
Build interactive mobile apps and spatial algorithms to refine and improve the accuracy of NYC DOT's bicycle parking data.
Create citywide wayfinding maps and panels for WalkNYC, New York City's wayfinding program, and assist in the siting, printing, installation, and overall management of the program.
Adjunct Lecturer | Hunter College
NYC | January 2023 - Present
I teach an Introduction to Geographic Information Systems course in Hunter College's Urban Planning and Policy Department.
Assistant District Manager | Community Board 3, Manhattan
NYC | July 2021 - April 2022
Liaise with elected officials, city agencies, local nonprofits, and community groups to strategically address issues affecting Community District 3, Manhattan.
Craft well-researched resolutions and formal responses to city land use and transportation proposals.
Organize and lead community board and interagency meetings.
Develop scripted tools in Python to automate tasks and aid in land use and transportation related analysis.
Civic Data Analyst and Planner | Alta Planning + Design
Sacramento | July 2019 - March 2021
Led data analysis and created written content and visual graphics for dozens of nationwide active transportation projects and grant applications in close collaboration with multidisciplinary teams, project managers, clients, and public advocacy groups. Products we delivered were awarded grant funding and adopted by cities and counties.
Developed Python tools that automated data collection and analyses, workflows, and graphics production. These tools were used on multiple projects nationwide, and expanded Alta’s capacity to deliver stronger, more consistent products within budget.
Used GIS, Python, Jupyter Notebook, PostGIS, Excel, and other tools to analyze data and communicate finding in the form of maps, tables, graphics, and written reports.
Worked with a wide array of demographics and transportation data including data from the U.S. Census, LEHD, OpenStreetMap, GTFS, Streetlight, Replica, and Ecopia to identify and visualize critical insights about the built environment, transportation networks and the people they serve.
Presented active transportation projects to California communities and led outreach events.
Policy Analyst | Tri-State Transportation Campaign
NYC | November 2018 - July 2019
Proactively undertook data analysis projects, and marshalled analysis findings to create insightful graphics and reports that illustrated TSTC advocacy positions and policy implications.
Helped organize and host a packed room transit panel discussion that included State Senators Alessandra Biaggi, Julia Salazar, Jessica Ramos, and Andrew Gounardes.
Cartographer | Philip Plotch and Cornell University Press
NYC | August 2018 - July 2019
Created ten custom maps for Philip Plotch’s Last Subway: The Long Wait for the Next Train in New York City, published and available at Cornell University Press.
Worked in close collaboration with Philip Plotch and the Cornell University Press team to develop elegant maps that clearly illustrated key elements of the book’s narrative while adhering to page layout and printing limitations.
Ambassador | Transportation Alternatives
NYC | July 2018 - September 2018
Engaged community members in all five boroughs in both English and Spanish, promoting policies and street designs that prioritize walking, transit, and cycling, and collecting petition signatures for a number of successful Transportation Alternatives campaigns.
Bolstered TA’s social media presence and used social media to amplify community members’ voices, raise awareness of traffic safety and access issues, and engage with elected officials.
Fleet Team Leader | I-GO Car Sharing
Chicago | 2011 - 2012
Helped manage the general maintenance of over 250 shared vehicles.
Implemented system to log and track fleet issues and service visits.
Bicycling Ambassador | City of Chicago
Chicago | 2010 - 2011
Promoted cycling culture through outreach events.
Led bicycle and traffic safety events with local elected officials and community leaders.
Wrote and distributed surveys to acquire feedback on new infrastructure.
Translator and English Teacher
Chicago, NYC, Madrid, and Santiago de Chile | 2009 - July 2018
Translated manuals, brochures, and other literature from English to Spanish.
Taught English classes to diverse groups of all ages and backgrounds.
Developed curricula and lesson plans for learners of all levels.
home


Struct GrpcBackgroundThreadPoolSizeOption (2.9.0)
The size of the background thread pool.
These threads are created by the client library to run a CompletionQueue
which performs background work for gRPC.
Type Aliases
Type
Alias Of:
std::size_t


The Call Ref Number is required.
The Call Description is required.
Priority is required.
Select a Departmentp>
The Request Type is required.
The call Evaluation Outcome is required.
The action plan is required.
The implementation outcome is required.