Web Scaling - using Redis as Cache
Redis is such a great technology. Unfortunately, there’s still people who don’t know Redis or don’t know that Redis can be used as a Cache System to improve the speed of responses.
Why Redis
Well, let’s start this discussion remembering how a common Relational Database basically works: Suppose we’re using a MySQL, every time your app sends a request to the MySQL client, the MySQL client gotta make a trip to the hard drive to get the data asked in the request, this can become a problem if the data asked in request is big… and if there are many requests at the same time, this can generate a huge latency, annoying users or worse.
This is where Redis comes into play, Redis is a key-value database that will be running and storing data inside your memory, if you remember the basic of computers architecture:
It’s way faster to access data in memory (Physical RAM, main memory) than to access data in the Hard Drive, so it’s easy to notice that if the data that the application wants to access is inside the main memory, it’s way easier to reach to that data than if it was stored in the Hard Drive.
So, like I said, Redis will be storing its data inside the memory, but you may ask yourself: “but what if I turn off the machine?? isn’t the ram memory volatile? “ Yes, that’s why Redis will be flushing the data to the hard drive from time to time, it’s up to you to choose this time between flushes, it’s all about Performance vs. Security.
So, What we’ll be doing is just:
note that this print is taken from a talk I gave in my country, so it’s in portuguese. aplicação = application, Não acha key = key don’t found, retorna dados = return data
As you can see: So much win. We avoided redundant trips to the disk.
Now that we understand the concept of what we’ll be doing, the code becomes very easy to implement, here’s a simple idea (thougt it can be improved and extended in many ways, but it can demonstrate the idea we’re working here)
from flask import Flask
from flask.ext.sqlalchemy import SQLAlchemy
from sqlalchemy import create_engine
import redis
app = Flask(__name__)
url = 'mysql+pymysql://username:password@ip/dbname'
app.config['SQLALCHEMY_DATABASE_URI'] = url
db = SQLAlchemy(app)
cache = redis.StrictRedis(host='localhost', port=6379, db=0)
#improvement: model could stay in a different file
class User(db.Model):
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(80))
email = db.Column(db.String(120))
def __init__(self, username, email):
self.username = username
self.email = email
def __repr__(self):
return '' % self.username
def createUsers():
for x in xrange(0,100000):
user = User('test', 'test')
db.session.add(user)
db.session.commit()
def getUsers():
users = cache.get('users')
if not users:
users = User.query.all()
cache.set('users', users)
# improvement: views/routing should stay in a different file
@app.route('/')
def hello_world():
getUsers()
return 'Hello Worldd!'
if __name__ == '__main__':
app.debug=True
app.run(host='<IP_ADDRESS>')
So, after you create the correct database, populate the database (there’s a function in the code for that) and change username/password/dbname in the code, we’ll run the app.py and go to localhost:port-you-exposed.
What will happen?
1. The first time you access it, it will take a few seconds to get the data from the MySQL
2. The second time you access it, it will take just a few milliseconds to get the same data from redis
In my computer the result was:
first access: 45861 milliseconds
second access: 5ms
I know, right? That’s just blazing fast!
And it can save a lot of computational resources and human time. Now, with this logic applied to one method (the method to get users), we can apply it to whichever method we want, or we can even create a generic decorator and annotate the methods that we want do the caching!!


{% extends "base.html" %} {% block page_content %}
The web Application is returning an internal error for the page you requested due to app malfunction.
If you're a site visitor, Nothing you can do at the moment. If you need immediate assistance, please send me an email(imosudi@gmail.com).
I apologize for any inconvenience..


Chapter 4
This chapter is referenced as normal. If it does not do any of the following, the test fails:
- This chapter can be navigated to via page turns forwards and backwards.
- This chapter can be located in the TOC.
- This chapter can be selected in the TOC and loads correctly.


{% extends "base.html" %} {% load i18n %} {% load breadcrumbs from directory_components %} {% block head_title %}{% trans "Register - great.gov.uk" %}{% endblock %} {% block content %} {% breadcrumbs 'Register' %} Great.gov.uk {% endbreadcrumbs %}
To create an account you'll need a business email address. We'll send you an email with a code to verify it.
Already have a great.gov.uk account? Sign in.


We started out of our home office knowing little but after a few coding classes we eventually got the hang of HTML5 and CSS.
Locally started out by going to coding classes and thought it would be interesting to try to build our own website using what we had learned. Based out of Minnesota we coded all of this in our home office.
There is a lot planned for the future of this website including making changes often to get a good learning experience from and for future web pages.


Although the ultimate goals of Open Savannah are to increase civic engagement and democratize technical skills in greater Coastal Georgia, we realize that the only way that can be achieved is through many small victories. Here are a few of ours
Open Savannah is led by a volunteer Core Team that organizes events, manages strategic partnerships, and ensures fluid communication among cross-functional project teams. Interested in joining the Core ir General Brigade Leadership Teams? We have six open positionsyou should consider!
{{ member.bio }}
Coming Soon


{% extends "base.html" %} {% block title %}
Medieval catalogues > HENRY DE KIRKESTEDE > Catalogus, c. 1360
{% endif %}5 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


Research Methods for Global Studies
Class 9: Introduction to Qualitative Methods
John Palmer
Qualitative-Quantitative Divide
- Words vs. Numbers
- Inductive vs. Deductive
- Interpretivist vs. Positivist Epistemology
- Constructionist vs. Objectivist Ontology
But...
- One can incorporate numbers into qualitative analysis (and words into quantitative).
- Both types usually combine induction and deduction.
- Both include a wide variety of epistemologies and ontologies.
Mitchell Duneier on reconciling intellectual cultures
Qualitative Work Flow
Qualitative Research Questions
- Often broader and less explicitly stated than quantitative ones.
Qualitative Research Questions
- The main proposition in this article is that different masculinities are produced through performances that draw on the different cultural resources that are available in each setting. Swain, J. (2004). The resources and strategies that 10–11-year-old boys use to construct masculinities in the school setting. British Educational Research Journal, 30(1), 167-185.
- What normalization challenges do managers in dirty work occupations face? Ashforth, B. E., Kreiner, G. E., Clark, M. A., & Fugate, M. (2007). Normalizing dirty work: Managerial tactics for countering occupational taint. Academy of Management Journal, 50(1), 149-174.
Qualitative Research Questions
Qualitative Research Questions
Qualitative Data Collection
- Participate (ethnography)
- Ask and listen (interviews)
- Record and gather (speech, texts, documents, images)
Interpretation and Theory-Building
- Analytic Induction
- Grounded Theory
- Conversation Analysis
- Discourse Analysis
- Narrative Analysis
- Content Analysis
Presentation
- Greater focus on narrative
- Letting informants speak for themselves
- Character building
- Situating author
Ethnography
- Immersion in social setting for extended period
- Regular observations
- Listening and engaging
- Interviewing
- Document collection
Role of Ethnographer
- Complete participant
- Participant-as-observer
- Observer-as-participant
- Complete observer
Assignments
- Read: Duneier (1999), Introduction and Appendix
- Write: Literature review and structured observations as per instructions from Natalia Melancu


With Over 300 hospitals across 20 countries medical directory is the right place to find your closest healthcare center
Find the right doctor within the closest hospital across a wide range of medical fields including neurosurgerydoctor within the closest
You're a medical center with hospitals and doctors worldwide, medical directory is the right place to list your hospitals and doctors, join us now
FREE
GOLD
PLATINUM
Subscribe to our newsletter to receive our latest news and updates. We do not spam.


UNIQ
Section: User Commands (1)Updated: June 2012
Index Return to Main Contents
NAME
uniq - report or omit repeated linesSYNOPSIS
uniq [OPTION]... [INPUT [OUTPUT]]DESCRIPTION
Filter adjacent matching lines from INPUT (or standard input), writing to OUTPUT (or standard output).
With no options, matching lines are merged to the first occurrence.
Mandatory arguments to long options are mandatory for short options too.
- -c, --count
- prefix lines by the number of occurrences
- -d, --repeated
- only print duplicate lines
- -D, --all-repeated[=delimit-method]
- print all duplicate lines delimit-method={none(default),prepend,separate} Delimiting is done with blank lines.
- -f, --skip-fields=N
- avoid comparing the first N fields
- -i, --ignore-case
- ignore differences in case when comparing
- -s, --skip-chars=N
- avoid comparing the first N characters
- -u, --unique
- only print unique lines
- -z, --zero-terminated
- end lines with 0 byte, not newline
- -w, --check-chars=N
- compare no more than N characters in lines
- --help
- display this help and exit
- --version
- output version information and exit
A field is a run of blanks (usually spaces and/or TABs), then non-blank characters. Fields are skipped before chars.
Note: 'uniq' does not detect repeated lines unless they are adjacent. You may want to sort the input first, or use `sort -u' without `uniq'. Also, comparisons honor the rules specified by `LC_COLLATE'.
AUTHOR
Written by Richard M. Stallman and David MacKenzie.REPORTING BUGS
Report uniq bugs to<EMAIL_ADDRESS>coreutils home page: <http://www.gnu.org/software/coreutils/>
General help using GNU software: <http://www.gnu.org/gethelp/>
Report uniq translation bugs to <http://translationproject.org/team/>
COPYRIGHT
Copyright © 2010 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>.This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law.
SEE ALSO
comm(1), join(1)The full documentation for uniq is maintained as a Texinfo manual. If the info and uniq programs are properly installed at your site, the command
- info coreutils aquniq invocationaq
should give you access to the complete manual.
Index
This document was created by man2html, using the manual pages.
Time: 05:29:11 GMT, December 24, 2015


{{define "body"}}
Enter data below to determine ECM jam chance based on number of modules and strength of module and target ship. To obtain "PermaJam" the strength of the module must exceed the targets sensor strength, stacking lower strength modules will never "PermaJam".
| Jam Strength | |
| Ship Sensor Strength | |
| Number of Modules/Drones | |
|
|
|
| Jam chance per Cycle | |
| Jam chance per Minute |


Ongoing & Upcoming Projects
Access Now: From March to July 2019, I am working on a research internship on AI policy at Access Now, in particular focusing on the EU's Ethics Guidelines for Trustworthy AI.
Open Philosophy Network: In January 2019, I set up the Open Philosophy Network to provide a platform for philosophy outside of academia, with a particular focus on philosophy of technology and tech ethics.
We currently organise a monthly reading group and have been going to tech events and hackathons to open the conversation on tech ethics
Working Group on Philosophy of Technology (WGPT): I am also a member of the Working Group on Philosophy of Technology at KU Leuven. We are a group of philosophers linked to the Institute of Philosophy (HIW) whose aim is to philosophically reflect on technology, in a way that is informed by scientific research, technological developments, and the history of philosophy of technology.
We organize evening lectures, a reading group and will organise an international conference on technology and society in September 2019.
Past Projects
European Research Council Project: From October 2014 to 2017, I worked as a doctoral researcher on an ERC project at KU Leuven on the First World War and Philosophy.
During this time, I was part of the core group that developed one of KU Leuven's first MOOCs, and well as one of the main organisers of a 5-day conference to mark the 40th anniversary of the Czech philosopher and human rights activist Jan Patočka and the Charter 77 declaration.


WITNESS LIST Nominations Committee May 19, 2003 - 3:00P Board of Dental Examiners FOR: Garcia, Oscar (Self) Mason, Norman (Self) McDonald, Gary (Self) McKibben, Helen (Self) Morgan, Marti (Self) Stine, Phyllis (Self) Strunk, George (Self) Stubbs, Paul (Self) Villarreal, Juan (Self) Wetherbee, Charles (Self) Board of Pardons and Paroles FOR: Rosales, Stephen (Self) State Board of Medical Examiners FOR: Kalafut, Roberta (Self) Miles, Eddie (Self) Pascua-Lim, Elvira (Self) Stephen Rosales FOR: Bailey, Chuck (Stephen Rosales) Bresnen, Steve (Stephen Rosales) Longkey, Susan (Stephen Rosales) McKenna, Linda (Stephen Rosales) Pitts, John (Stephen Rosales) Texas Racing Commission FOR: Adams, Jesse (Self) Texas State Board of Medical Examiners FOR: Blackwell, Patricia (Self)


--- layout: default title: Contact permalink: /contact/ active: true ---
Director of Operations and Customer Service
<EMAIL_ADDRESS>+1<PHONE_NUMBER>
Skype: nige5128
President & Chief Scientist
<EMAIL_ADDRESS>+1<PHONE_NUMBER>


{% extends "exotic_bay/base.html" %} {% block title_block %}Change Password{% endblock %} {% block body_block %}
The password reset link was invalid, possibly because it has already been used. Please request a new password reset.
{% else %} {% if form %} {% else %}Your password is now changed.
{% endif %} {% endif %}


assembly genome variant viral reads variants Figure entries length novo sequencing OpenUrl contigs read NGS number used using Supplement PID different mutated mutation contig major simulated GenBank data datasets reference total clinical genomes initial technologies assemblers minor CrossRef generated lengths Table artificial nucleotides produced programs sequence Sanger View created interference assemblies sequences SPAdes corresponding Abstract Download FREE Text combined graph length, observed pairwise virus viruses S]. new nucleotide range years Sequencing assembled containing varying <;em>;de Kb, background effect identity longer novo<;/em>; presence Comparison Illumina assembly. denotes documented experiments generate input nt, ranging &; (.% Cap, First, PID) following methods percent sample samples single <;em>;Sequencing (b) Genome Open PID). RNA SPAdes, Science Total Web analyzed content counts data-hide-link-title=""> data-icon-position="" figure graphs length: long metric multiple platform ratio size tab technology use variants. ;<;div Bruijn Oxford VI, affect common compared data. final high non-redundant platforms software virology xmlns=";http://www.w.org//xhtml";>;<;span (i.e., Bioinformatics Experiment GC% PacBio Percentage Second, Simulated Viral analysis assembler. contigs. coverage detailed differing diversity effects enterovirus genomes, greater higher identities indicates inline likely numbers occurs panel percentage popular popup quasispecies records results shows strategy table: transition "variant (a) (h) Assembly Fastq Geneious Geneious. IDBA PeV-A Res SOAPdenovo, Technology Technology<;/em>; Virology affected algorithms. assembler assemblers. deep distinguish example, factors generating impact important increase investigated. listed longest lower partitioned perform performed. quality rates reference-mapping related threshold variants, (,/,) (B). (EV-A) (M), (Sample (T), (c) (e) (m), (one Mb, Mm, Nature New PID, PID. PIDs Panel Parechovirus SNPs Trinity, UG<;sub>;<;/sub>;% ability assembler, assemblers, average bacterial bar better categories: category class=";caption-title";>;The close-up combining comparing constraints: contig. contigs, control coronavirus count coverage: database derived diagram entry. error fragmented genome, genome. genome: grouped human increased influence interference, lengths: majority makes next-generation nt) nt; occurred output overlap-layout-consensus patterns performed phenomenon poliovirus previous process ranges reads, real relationship returned sequencing, seven showing significantly speculate starting studies tallied thresholds view


Make Social Graphics Short Videos And Web Pages To Stand Out In Minutes Adobe Spark
How To Create An Easy Web Page Using Adobe Spark Page Digital Trends
Adobe Spark Easily Create Graphics Web Pages Videos More
How To Get Adobe Spark Free And Legally Free Adobe Spark Download 2021
Adobe Spark Review Create A Website For Free We Find Out If It S Worth It Whoishostingthis Com
Adobe Spark Page How To Create Gorgeous Web Magazine Style Pages Diy Photography
Adobe Spark
Download Adobe Spark Page For Ios Free 3 2 0
Adobe Spark Download Tutorial Youtube
Adobe Spark Review We Found 3 Reasons For And Against Using It Digital Com
Adobe Spark Page Demo Adobe Edutips On Vimeo
Adobe S Free Visual Storytelling Tool Spark Adds Premium Features The Verge
Free Online Video Editor Adobe Spark
Adobe Spark Review Techradar
Create Beautiful Graphics Web Pages And Video Stories In Minutes
Adobe Spark Multimedia 1407 885 Transprent Png Free Download Multimedia Technology Media Cleanpng Kisspng
Adobe Spark Will Unleash Your Inner Graphic Designer Extremetech
Adobe Spark Page Download Mac Peatix
How To Create Branded Stories In Adobe Spark Adobe Spark
Getting To Know Adobe Spark Page
How To Use Adobe Spark Post To Spice Up Your Social Media Images Digital Trends
Adobe Spark Page Makes Web Design Easy Here S How To Use It By Brain Waugh Medium
Adobe Spark Page App For Iphone Free Download Adobe Spark Page For Ipad Iphone At Apppure


Show Shrine Team
Hide Shrine Team
Show Raid Dragon Levels
Hide Raid Dragon Levels
Name
Biome
Shrine
Team
Max Mob
Town Hall
Raid
AP
Smaak
Gourdon
Gather Bonus
Hydra 2
G
B
S


Linear Functions and Constraints#
This module implements linear functions (see LinearFunction
)
in formal variables and chained (in)equalities between them (see
LinearConstraint
). By convention, these are always written as
either equalities or less-or-equal. For example:
sage: p = MixedIntegerLinearProgram()
sage: x = p.new_variable()
sage: f = 1 + x[1] + 2*x[2]; f # a linear function
1 + x_0 + 2*x_1
sage: type(f)
<class 'sage.numerical.linear_functions.LinearFunction'>
sage: c = (0 <= f); c # a constraint
0 <= 1 + x_0 + 2*x_1
sage: type(c)
<class 'sage.numerical.linear_functions.LinearConstraint'>
Note that you can use this module without any reference to linear
programming, it only implements linear functions over a base ring and
constraints. However, for ease of demonstration we will always
construct them out of linear programs (see
mip
).
Constraints can be equations or (non-strict) inequalities. They can be chained:
sage: p = MixedIntegerLinearProgram()
sage: x = p.new_variable()
sage: x[0] == x[1] == x[2] == x[3]
x_0 == x_1 == x_2 == x_3
sage: ieq_01234 = x[0] <= x[1] <= x[2] <= x[3] <= x[4]
sage: ieq_01234
x_0 <= x_1 <= x_2 <= x_3 <= x_4
If necessary, the direction of inequality is flipped to always write inequalities as less or equal:
sage: x[5] >= ieq_01234
x_0 <= x_1 <= x_2 <= x_3 <= x_4 <= x_5
sage: (x[5] <= x[6]) >= ieq_01234
x_0 <= x_1 <= x_2 <= x_3 <= x_4 <= x_5 <= x_6
sage: (x[5] <= x[6]) <= ieq_01234
x_5 <= x_6 <= x_0 <= x_1 <= x_2 <= x_3 <= x_4
Warning
The implementation of chained inequalities uses a Python hack to make it work, so it is not completely robust. In particular, while constants are allowed, no two constants can appear next to each other. The following does not work for example:
sage: x[0] <= 3 <= 4
True
If you really need this for some reason, you can explicitly convert
the constants to a LinearFunction
:
sage: from sage.numerical.linear_functions import LinearFunctionsParent
sage: LF = LinearFunctionsParent(QQ)
sage: x[1] <= LF(3) <= LF(4)
x_1 <= 3 <= 4
- class sage.numerical.linear_functions.LinearConstraint#
Bases:
LinearFunctionOrConstraint
A class to represent formal Linear Constraints.
A Linear Constraint being an inequality between two linear functions, this class lets the user write
LinearFunction1 <= LinearFunction2
to define the corresponding constraint, which can potentially involve several layers of such inequalities (A <= B <= C
), or even equalities likeA == B == C
.Trivial constraints (meaning that they have only one term and no relation) are also allowed. They are required for the coercion system to work.
Warning
This class has no reason to be instantiated by the user, and is meant to be used by instances of
MixedIntegerLinearProgram
.INPUT:
parent
– the parent, aLinearConstraintsParent_class
terms
– a list/tuple/iterable of two or more linear functions (or things that can be converted into linear functions).equality
– boolean (default:False
). Whether the terms are the entries of a chained less-or-equal (<=
) inequality or a chained equality.
EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: b = p.new_variable() sage: b[2]+2*b[3] <= b[8]-5 x_0 + 2*x_1 <= -5 + x_2
- equals(left, right)#
Compare
left
andright
.OUTPUT:
Boolean. Whether all terms of
left
andright
are equal. Note that this is stronger than mathematical equivalence of the relations.EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: x = p.new_variable() sage: (x[1] + 1 >= 2).equals(3/3 + 1*x[1] + 0*x[2] >= 8/4) True sage: (x[1] + 1 >= 2).equals(x[1] + 1-1 >= 1-1) False
- equations()#
Iterate over the unchained(!) equations
OUTPUT:
An iterator over pairs
(lhs, rhs)
such that the individual equations arelhs == rhs
.EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: b = p.new_variable() sage: eqns = 1 == b[0] == b[2] == 3 == b[3]; eqns 1 == x_0 == x_1 == 3 == x_2 sage: for lhs, rhs in eqns.equations(): ....: print(str(lhs) + ' == ' + str(rhs)) 1 == x_0 x_0 == x_1 x_1 == 3 3 == x_2
- inequalities()#
Iterate over the unchained(!) inequalities
OUTPUT:
An iterator over pairs
(lhs, rhs)
such that the individual equations arelhs <= rhs
.EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: b = p.new_variable() sage: ieq = 1 <= b[0] <= b[2] <= 3 <= b[3]; ieq 1 <= x_0 <= x_1 <= 3 <= x_2 sage: for lhs, rhs in ieq.inequalities(): ....: print(str(lhs) + ' <= ' + str(rhs)) 1 <= x_0 x_0 <= x_1 x_1 <= 3 3 <= x_2
- is_equation()#
Whether the constraint is a chained equation
OUTPUT:
Boolean.
EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: b = p.new_variable() sage: (b[0] == b[1]).is_equation() True sage: (b[0] <= b[1]).is_equation() False
- is_less_or_equal()#
Whether the constraint is a chained less-or_equal inequality
OUTPUT:
Boolean.
EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: b = p.new_variable() sage: (b[0] == b[1]).is_less_or_equal() False sage: (b[0] <= b[1]).is_less_or_equal() True
- is_trivial()#
Test whether the constraint is trivial.
EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: LC = p.linear_constraints_parent() sage: ieq = LC(1,2); ieq 1 <= 2 sage: ieq.is_trivial() False sage: ieq = LC(1); ieq trivial constraint starting with 1 sage: ieq.is_trivial() True
- sage.numerical.linear_functions.LinearConstraintsParent()#
Return the parent for linear functions over
base_ring
.The output is cached, so only a single parent is ever constructed for a given base ring.
INPUT:
linear_functions_parent
– aLinearFunctionsParent_class
. The type of linear functions that the constraints are made out of.
OUTPUT:
The parent of the linear constraints with the given linear functions.
EXAMPLES:
sage: from sage.numerical.linear_functions import ( ....: LinearFunctionsParent, LinearConstraintsParent) sage: LF = LinearFunctionsParent(QQ) sage: LinearConstraintsParent(LF) Linear constraints over Rational Field
- class sage.numerical.linear_functions.LinearConstraintsParent_class#
Bases:
Parent
Parent for
LinearConstraint
Warning
This class has no reason to be instantiated by the user, and is meant to be used by instances of
MixedIntegerLinearProgram
. Also, use theLinearConstraintsParent()
factory function.INPUT/OUTPUT:
EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: LC = p.linear_constraints_parent(); LC Linear constraints over Real Double Field sage: from sage.numerical.linear_functions import LinearConstraintsParent sage: LinearConstraintsParent(p.linear_functions_parent()) is LC True
- linear_functions_parent()#
Return the parent for the linear functions
EXAMPLES:
sage: LC = MixedIntegerLinearProgram().linear_constraints_parent() sage: LC.linear_functions_parent() Linear functions over Real Double Field
- class sage.numerical.linear_functions.LinearFunction#
Bases:
LinearFunctionOrConstraint
An elementary algebra to represent symbolic linear functions.
Warning
You should never instantiate
LinearFunction
manually. Use the element constructor in the parent instead.EXAMPLES:
For example, do this:
sage: p = MixedIntegerLinearProgram() sage: parent = p.linear_functions_parent() sage: parent({0 : 1, 3 : -8}) x_0 - 8*x_3
instead of this:
sage: from sage.numerical.linear_functions import LinearFunction sage: LinearFunction(p.linear_functions_parent(), {0 : 1, 3 : -8}) x_0 - 8*x_3
- coefficient(x)#
Return one of the coefficients.
INPUT:
x
– a linear variable or an integer. If an integer \(i\) is passed, then \(x_i\) is used as linear variable.
OUTPUT:
A base ring element. The coefficient of
x
in the linear function. Pass-1
for the constant term.EXAMPLES:
sage: mip.<b> = MixedIntegerLinearProgram() sage: lf = -8 * b[3] + b[0] - 5; lf -5 - 8*x_0 + x_1 sage: lf.coefficient(b[3]) -8.0 sage: lf.coefficient(0) # x_0 is b[3] -8.0 sage: lf.coefficient(4) 0.0 sage: lf.coefficient(-1) -5.0
- dict()#
Return the dictionary corresponding to the Linear Function.
OUTPUT:
The linear function is represented as a dictionary. The value are the coefficient of the variable represented by the keys ( which are integers ). The key
-1
corresponds to the constant term.EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: LF = p.linear_functions_parent() sage: lf = LF({0 : 1, 3 : -8}) sage: lf.dict() {0: 1.0, 3: -8.0}
- equals(left, right)#
Logically compare
left
andright
.OUTPUT:
Boolean.
EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: x = p.new_variable() sage: (x[1] + 1).equals(3/3 + 1*x[1] + 0*x[2]) True
- is_zero()#
Test whether
self
is zero.OUTPUT:
Boolean.
EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: x = p.new_variable() sage: (x[1] - x[1] + 0*x[2]).is_zero() True
- iteritems()#
Iterate over the index, coefficient pairs.
OUTPUT:
An iterator over the
(key, coefficient)
pairs. The keys are integers indexing the variables. The key-1
corresponds to the constant term.EXAMPLES:
sage: p = MixedIntegerLinearProgram(solver = 'ppl') sage: x = p.new_variable() sage: f = 0.5 + 3/2*x[1] + 0.6*x[3] sage: for id, coeff in sorted(f.iteritems()): ....: print('id = {} coeff = {}'.format(id, coeff)) id = -1 coeff = 1/2 id = 0 coeff = 3/2 id = 1 coeff = 3/5
- class sage.numerical.linear_functions.LinearFunctionOrConstraint#
Bases:
ModuleElement
Base class for
LinearFunction
andLinearConstraint
.This class exists solely to implement chaining of inequalities in constraints.
- sage.numerical.linear_functions.LinearFunctionsParent()#
Return the parent for linear functions over
base_ring
.The output is cached, so only a single parent is ever constructed for a given base ring.
INPUT:
base_ring
– a ring. The coefficient ring for the linear functions.
OUTPUT:
The parent of the linear functions over
base_ring
.EXAMPLES:
sage: from sage.numerical.linear_functions import LinearFunctionsParent sage: LinearFunctionsParent(QQ) Linear functions over Rational Field
- class sage.numerical.linear_functions.LinearFunctionsParent_class#
Bases:
Parent
The parent for all linear functions over a fixed base ring.
Warning
You should use
LinearFunctionsParent()
to construct instances of this class.INPUT/OUTPUT:
EXAMPLES:
sage: from sage.numerical.linear_functions import LinearFunctionsParent_class sage: LinearFunctionsParent_class <class 'sage.numerical.linear_functions.LinearFunctionsParent_class'>
- gen(i)#
Return the linear variable \(x_i\).
INPUT:
i
– non-negative integer.
OUTPUT:
The linear function \(x_i\).
EXAMPLES:
sage: LF = MixedIntegerLinearProgram().linear_functions_parent() sage: LF.gen(23) x_23
- set_multiplication_symbol(symbol='*')#
Set the multiplication symbol when pretty-printing linear functions.
INPUT:
symbol
– string, default:'*'
. The multiplication symbol to be used.
EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: x = p.new_variable() sage: f = -1-2*x[0]-3*x[1] sage: LF = f.parent() sage: LF._get_multiplication_symbol() '*' sage: f -1 - 2*x_0 - 3*x_1 sage: LF.set_multiplication_symbol(' ') sage: f -1 - 2 x_0 - 3 x_1 sage: LF.set_multiplication_symbol() sage: f -1 - 2*x_0 - 3*x_1
- tensor(free_module)#
Return the tensor product with
free_module
.INPUT:
free_module
– vector space or matrix space over the same base ring.
OUTPUT:
Instance of
sage.numerical.linear_tensor.LinearTensorParent_class
.EXAMPLES:
sage: LF = MixedIntegerLinearProgram().linear_functions_parent() sage: LF.tensor(RDF^3) Tensor product of Vector space of dimension 3 over Real Double Field and Linear functions over Real Double Field sage: LF.tensor(QQ^2) Traceback (most recent call last): ... ValueError: base rings must match
- sage.numerical.linear_functions.is_LinearConstraint(x)#
Test whether
x
is a linear constraintINPUT:
x
– anything.
OUTPUT:
Boolean.
EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: x = p.new_variable() sage: ieq = (x[0] <= x[1]) sage: from sage.numerical.linear_functions import is_LinearConstraint sage: is_LinearConstraint(ieq) True sage: is_LinearConstraint('a string') False
- sage.numerical.linear_functions.is_LinearFunction(x)#
Test whether
x
is a linear functionINPUT:
x
– anything.
OUTPUT:
Boolean.
EXAMPLES:
sage: p = MixedIntegerLinearProgram() sage: x = p.new_variable() sage: from sage.numerical.linear_functions import is_LinearFunction sage: is_LinearFunction(x[0] - 2*x[2]) True sage: is_LinearFunction('a string') False


Home
About Us
Promotions
Enquire Now!
Thank you for your intrest in CycleAus Travel.
Please fill in the form below for more information.
Name:
Email:
Mobile:
Destination:
N/A
NSW
QLD
SA
TAS
VIC
WA
ACT
JBT
NT
AAT
Newsletter:
Yes
No
Submit Form


This site has no commercial or profitable purpose. It was made by Tatiane Aguirres as a fan's work to improve her Angular skills. The source code for this project can be found in the GitHub repository.
Tatiane is a Front-end Developer Specialized in Visual and Web Accessibility. She is Brazilian, lives in the Netherlands, and loves beers (especially wheat beer) and The Simpsons.
This site uses The Punk API, which is a free and open-source API with Brewdog's catalogue of beer.
Homer Simpson, our beer expert, belongs to The Simpsons™, which is a registered trademark owned by 20th Century Studios, Inc.


He builds a wall of fire that obscures the Enemy's view and heals himself
Equip a flare orb that takes a curving path and detonates shortly after throwing. fire to curve the flare orb to the left, detonating and blinding any player who sees the orb.
Throws a fireball that deals damage to the enemy and heals himself
Instantly place a marker at Phoenix's location. while this ability is active, dying or allowing the timer to expire will end this ability and bring Phoenix back to this location with full health.


| Package | Description |
|---|---|
| com.ibm.team.build.ant.task | |
| com.ibm.team.build.client | |
| com.ibm.team.interop.client | |
| com.ibm.team.process.client | |
| com.ibm.team.repository.client |
Provides the main client-side-only APIs for the Repository component.
|
| com.ibm.team.repository.client.login | |
| com.ibm.team.repository.client.util |
Provides secondary client-side-only APIs for the Repository component.
|
| com.ibm.team.scm.client | |
| com.ibm.team.scm.client.content | |
| com.ibm.team.workitem.client |
| Class and Description |
|---|
| ITeamRepository
Represents a team repository.
|
| Class and Description |
|---|
| ITeamRepository
Represents a team repository.
|
| Class and Description |
|---|
| ITeamRepository
Represents a team repository.
|
| Class and Description |
|---|
| ITeamRepository
Represents a team repository.
|
| Class and Description |
|---|
| ICertificateHandler.Trust
Action to take for a server-supplied certificate.
|
| IContentManager
Methods for storing and retrieving contents from the repository.
|
| IContentManagerInputStreamProvider
An interface for a class that can continue opening an InputStream on the same
resource for the benefit of the content manager.
|
| IContentManagerSession
Encapsulates a file transfer session for the
IContentManager . |
| IContributorManager
A contributor manager for a particular team repository.
|
| IDeferredSecuredLoginInfo.ISecuredLoginPropertiesCallback
Defers the fetching of the secured login properties when ready.
|
| IDownloadHandler
Accepts events regarding a download being managed by a
IContentManagerSession . |
| IExternalUserRegistryManager |
| IItemManager
An item manager for a particular team repository.
|
| ILoginHandler2
Handler for acquiring user id and password when a repository is about to
be logged in to with
#login() , or whenever the repository
decides to challenge an already logged-in client (as determined by that
repository's security policies). |
| ILoginInfo2
ILoginInfo2 provides the functionality of encapsulating credentials that
are custom to the method that is being used and also provides a way
to use those credentials by passing those off to
ITeamServer . |
| IRetryPolicy
A policy describing what failed requests can be retried and any limitations on
the retry (example how many times they can be retried and if the client should
back off to give the server a chance to recover before retrying).
|
| ISharedItemChangeListener
Listener for changes to shared items.
|
| IStatistics
Statistics data for a particular team repository.
|
| ITeamRepository
Represents a team repository.
|
| ITeamRepository.ILoginHandler
Handler for acquiring user id and password when a repository is about to
be logged in to with
#login() , or whenever the repository
decides to challenge an already logged-in client (as determined by that
repository's security policies). |
| ITeamRepository.ILoginHandler.ILoginInfo
Simple data structure encapsulating both a user id and a password.
|
| ITeamRepository.ILoginParticipant
Login participant interface to be implemented by clients that are
interested in contributing to the login/logout function.
|
| ITeamRepositoryService
Service for establishing contact with team repositories.
|
| ITeamRepositoryService.IRepositoryServiceListener
Listener interface used to listen to repository additions and removals
from the team repository service.
|
| IUploadHandler
Accepts events regarding a upload being managed by a
IContentManagerSession and provides data needed
to upload content. |
| SavedPasswordNotObtainedException
Passwords are stored in eclipse using the secure storage integration api.
|
| Class and Description |
|---|
| IDeferredSecuredLoginInfo |
| IDeferredSecuredLoginInfo.ISecuredLoginPropertiesCallback
Defers the fetching of the secured login properties when ready.
|
| ILoginInfo2
ILoginInfo2 provides the functionality of encapsulating credentials that
are custom to the method that is being used and also provides a way
to use those credentials by passing those off to
ITeamServer . |
| ITeamRepository.ILoginHandler.ILoginInfo
Simple data structure encapsulating both a user id and a password.
|
| SavedPasswordNotObtainedException
Passwords are stored in eclipse using the secure storage integration api.
|
| Class and Description |
|---|
| IDownloadHandler
Accepts events regarding a download being managed by a
IContentManagerSession . |
| IStatistics
Statistics data for a particular team repository.
|
| ITeamRepository
Represents a team repository.
|
| IUploadHandler
Accepts events regarding a upload being managed by a
IContentManagerSession and provides data needed
to upload content. |
| Class and Description |
|---|
| ITeamRepository
Represents a team repository.
|
| Class and Description |
|---|
| ITeamRepository
Represents a team repository.
|
| Class and Description |
|---|
| ITeamRepository
Represents a team repository.
|


@* * Copyright 2021 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 ssttpcalculator.model.PaymentSchedule @import model._ @(schedule: PaymentSchedule)(implicit messages: play.api.i18n.Messages)


Liber-Coffee
Helldivers loadout randomizer
PERKS
PRIMARY WEAPON
STRATAGEMS
RANDOMIZE!
Dice Mode
Share
© Philipp Westermann, 2018 All Rights Reserved Helldivers game and background art by Arrowhead Game Studios AB


On vectors
Do the same exercise as
this one
, but considering vectors instead of lists
Solution
Look at
this file
Pierre Casteran
Last modified: Mon Sep 20 09:46:14 CEST 2004


Transyle
AWESOMECASE
Back-Focus
Texture Focus
Front-focus
Upload Input Image
See Image
Choose Style
Upload Own Style


RT @PragmaticAndy: Listen, strange women lying in ponds distributing swords as a basis for a system of government is starting to sound bett…
10/11/2013, 7:43:55 AM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @PragmaticAndy: Listen, strange women lying in ponds distributing swords as a basis for a system of government is starting to sound bett…
10/11/2013, 7:43:55 AM
Favs: 0
Retweets: 0
link


For every 3x3 block of the image (without overlapping), replace all corresponding 9 pixels by their average. This operation simulates reducing the image spatial resolution. Repeat this for 5x5 blocks and 7x7 blocks. If you are using Matlab, investigate simple command lines to do this important operation.


Customize Tour
Travaller Information
Full name
Email
Phone number
Nationality
Destinations you would like to include
Destination
Estimated arrival date
Estimated travel duration
Do you have any plans or ideas yet?
SEND


Short-URL demo
Enter URL below!
Shorten it!
Created this url for you
<3
URL
Error
This is why I crashed


Social Sign-In Buttons made in pure CSS based on Bootstrap 4 and Font Awesome 5!
View on GitHub DownloadIf you haven't done that already, include the latest Bootstrap 4 and Font Awesome 5 in your project.
You have two options for enabling the social buttons in your project: vanilla CSS or source Less. For vanilla CSS, just include
the
bootstrap-social.css
file into your project.
Start using the buttons as you would normally do with the Bootstrap buttons that have an icon by adding the relevant class. For example:

 Sign in with Twitter

Or if you just want the icon button, use it like this:


Hypertext Transfer Protocol Secure (HTTPS), is a secure version of the HTTP protocol that uses the SSL/TLS protocol for encryption and authentication. Per the HTTPS wikipedia, HTTPS "principal motivations for HTTPS are authentication of the accessed website, and protection of the privacy and integrity of the exchanged data while in transit. It protects against man-in-the-middle attacks, and the bidirectional encryption of communications between a client and server protects the communications against eavesdropping and tampering.[4][5] In practice, this provides a reasonable assurance that one is communicating with the intended website without interference from attackers.


Make diagrams in R using mermaid.js with infrastructure provided by htmlwidgets.
mermaid(diagram = "", ..., width = NULL, height = NULL)
| diagram | diagram in mermaid markdown-like language or file (as a
connection or file name) containing a diagram specification. If no diagram
is provided |
|---|---|
| ... | other arguments and parameters you would like to send to JavaScript. |
| width | the width of the resulting graphic in pixels. |
| height | the height of the resulting graphic in pixels. |
An object of class htmlwidget
that will intelligently print
itself into HTML in a variety of contexts including the R console, within
R Markdown documents, and within Shiny output bindings.
# NOT RUN { # Create a simple graph running left to right (note # that the whitespace is not important) DiagrammeR(" graph LR A-->B A-->C C-->E B-->D C-->D D-->F E-->F ") # Create the equivalent graph but have it running # from top to bottom DiagrammeR(" graph TB A-->B A-->C C-->E B-->D C-->D D-->F E-->F ") # Create a graph with different node shapes and # provide fill styles for each node DiagrammeR("graph LR;A(Rounded)-->B[Squared];B-->C{A Decision}; C-->D[Square One];C-->E[Square Two]; style A fill:#E5E25F; style B fill:#87AB51; style C fill:#3C8937; style D fill:#23772C; style E fill:#B6E6E6;" ) # Load in the 'mtcars' dataset data(mtcars) connections <- sapply( 1:ncol(mtcars) ,function(i) { paste0( i ,"(",colnames(mtcars)[i],")---" ,i,"-stats(" ,paste0( names(summary(mtcars[,i])) ,": " ,unname(summary(mtcars[,i])) ,collapse="<br/>" ) ,")" ) } ) # Create a diagram using the 'connections' object DiagrammeR( paste0( "graph TD;", "\n", paste(connections, collapse = "\n"),"\n", "classDef column fill:#0001CC, stroke:#0D3FF3, stroke-width:1px;" ,"\n", "class ", paste0(1:length(connections), collapse = ","), " column;" ) ) # Also with \code{DiagrammeR()}, you can use tags # from \code{htmltools} (just make sure to use # \code{class = "mermaid"}) library(htmltools) diagramSpec = " graph LR; id1(Start)-->id2(Stop); style id1 fill:#f9f,stroke:#333,stroke-width:4px; style id2 fill:#ccf,stroke:#f66,stroke-width:2px,stroke-dasharray: 5, 5; " html_print(tagList( tags$h1("R + mermaid.js = Something Special") ,tags$pre(diagramSpec) ,tags$div(class="mermaid",diagramSpec) ,DiagrammeR() )) # Create a sequence diagram DiagrammeR(" sequenceDiagram; customer->>ticket seller: ask for a ticket; ticket seller->>database: seats; alt tickets available database->>ticket seller: ok; ticket seller->>customer: confirm; customer->>ticket seller: ok; ticket seller->>database: book a seat; ticket seller->>printer: print a ticket; else sold out database->>ticket seller: none left; ticket seller->>customer: sorry; end ") # }


Amzi! specializes in products and services for developing and deploying integrated application components that apply logical knowledge, such as pricing rules, configuration logic, insurance regulations, diagnostic and advisory knowledge, grammar rules, message translation rules, and semantic relationships.
Unlike factual and procedural knowledge that are naturally deployed using conventional software tools, logical knowledge is difficult to deploy without specialize tools.
Traditional software tools provide two ways of encoding knowledge: one is as facts, or data, in memory; the other is as sequences of instructions coded in a procedural programming language such as Java, C++, Visual Basic, Delphi or C#.
These two types of knowledge, factual and procedural, are natural for a computer because a computer is engineered from memory (facts/data) and a processing unit that executes a sequence of instructions (procedures). It is no accident that database tools and procedural programming languages have been with computers since the earliest days. It is no accident that early commercial use of computers was called 'data processing.'
Consider an airline reservation system. It has factual knowledge about passengers, flights, and bookings stored in a database. It has procedures that manipulate that data, for example to book a passenger on a flight.
This type of automation is well suited to a computer's design.
Logical knowledge is relationships. On paper, logical knowledge might be expressed as rules, or in tables showing conditions and implied results, or as graphs showing connections, or in formats that are particular to a given application area.
In an airline reservation system, pricing knowledge would be logical. It is a complex set of rules and tables describing relationships between air fare and dates, places, connections, durations, class, frequent flier miles, weekends, holidays, discounts, promotions and who knows what else.
Logical knowledge, unless relatively simple, does not lend itself to easy encoding in a computer.
It doesn’t fit well in a database, because the relationships expressed are more complex than the simple factual relationships databases can encode.
It doesn’t fit well in procedural code because the programmer is forced to artificially express the independent logical relationships as a sequence of instructions with well-defined flow of control.
Examples of Logical KnowledgePricing the relationships between price and the factors affecting it, for almost any product of even modest complexity; Regulations government’s and private organization’s rules and regulations, such as tax codes, insurance rules, legal requirements, benefits, purchasing, and work flow; Configuration the complex relationships between customer needs and products and components; Support the relationships between faults and symptoms in diagnostic technical support solutions, or between customer needs, and appropriate products and services; Scheduling the rules governing broadcast scheduling, radio and TV music scheduling, work scheduling, resource allocation, sports events; Grammars translation rules between data transfer protocols, program inputs, or natural languages; Scientific geologic relationships between surface observations and oil below, electric circuit behavior, network modeling, medical diagnosis, and economic modeling. |
While not well suited for the task, traditional tools are often used to encode logical knowledge.
In a few cases, the traditional tools are workable. For example, if the relationships are simple enough to be expressed in tables with the same columns, then a database can be used effectively. If the rules fit readily in a decision tree, then that tree can be represented by procedural branching statements.
But logical knowledge of any significance has a variety of factors in the relationships, making them ill-suited for database; and no implied sequence of execution, making them awkward to code procedurally. Different combinations of rules in different sequences are required depending on the input data.
The advantage of using traditional tools is, well, that they are traditional tools. There are a large number of programmers who are skilled in using them.
The disadvantage of using traditional tools is the procedural code and/or fragmented collections of data tables needed to express the interrelated logical relationships winds up being a rat’s nest of unwieldy, difficult to maintain and highly error prone code.
For some application areas, this might not be a factor. But if the logical knowledge is changing, and it is important to keep up with the changes, then the costs of maintaining the encoding of the logical knowledge becomes prohibitive. More importantly, due to the time consuming and error prone nature of that approach, competitive advantage could well be lost.
There’s If-Then and then there’s If-ThenThe term ‘if-then’ for rules is sometimes confusing because it is used both to describe branching instructions in a procedure, and certain logical relationships. In procedural code, if-then statements steer the flow of control. As logical relationships, if-then rules have no implied order of execution. |
||
Object-Oriented ProgrammingWhat about object-oriented programming? An 'object,' in computer science terms, is an encapsulation, in a single entity, of data and the procedures that work on that data. Object-oriented programming is a powerful tool, making the programmer's job of developing and maintaining procedural code that manipulates data much easier. But object-oriented programming does not address the problems created by logical relationship knowledge, because it still only provides semantics for data and procedure. |
Internet ToolsWhat about scripting languages? HTML? Java Beans? Active Server Pages? and all the other Internet tools? These, too, are all tools for generating sequences of instructions for a CPU. |
If the problem with encoding logical knowledge is the underlying machine, then what’s needed to do the job right is a machine designed to handle logical knowledge. Building a hardware machine is not very practical, but software can be used to build a wide variety of virtual machines.
This is exactly what is done in all of the tools available for expert systems, business rule systems, knowledge base systems, logicbase systems, case base systems and others.
Each of these tools has a virtual machine architecture with two key components:
For example:
This architecture provides the major benefit that the logical knowledge no longer has to be forced into a format that is ill-served for coding it. Because the logical knowledge is more naturally expressed in a knowledge representation language, it is easier to create and maintain. Because it is easier to maintain, it is less error-prone, more reliable, and changes can be incorporated in production software much more rapidly.
In some cases the logical relations can be maintained directly by those with the knowledge, avoiding the translation step through an intermediate programmer. This further magnifies the benefits.
Artificial IntelligenceThe science of Artificial Intelligence (AI) concerns itself with the engineering and use of virtual machines that work with knowledge that cannot be easily expressed either factually or procedurally. Working with logical knowledge is a large part of AI. The term AI might be somewhat justified considering that human brains, unlike computers, are naturally good at processing logical relationships. |
Unfortunately, there is tremendous variety in the forms of logical knowledge required for different application domains, and accordingly, there are a number of different tools and approaches.
How well a given tool fits a particular application depends on how close the knowledge representation language and reasoning engine match the way the application logic is naturally expressed and used.
For example, pricing knowledge is usually formal and precise, whereas knowledge about technical support has more vagaries in it, and also requires support for textual or HTML questions and answers. Configuration knowledge includes rules for how components are combined and also needs to express the logical relationships of hierarchies of parts.
Both pricing and technical support would have reasoning engines intent on finding a specific solution, but the knowledge for configuring complex products needs to be applied in a building block manner, creating a complex structure as output.
There are numerous general-purpose tools that might fit a given application, or an organization might decide to build a customized tool for their particular application.
A customized tool has the huge benefit that the knowledge representation can be designed to specifically match the way knowledge for that application is expressed. This often means those with the knowledge can directly maintain the knowledge base without programmer intervention.
A general-purpose tool can be purchased off-the-shelf and might provide a good enough fit for the application.
Spreadsheets are a perfect example of a specialized tool for a specific type of logical knowledge. In this case the logical relationships are arithmetic formulas linking the contents of the various cells.
The designers of a spreadsheet program first create the pattern of cells and allowable formulas users can use to express relationships. That is the knowledge representation.
They then write a program that knows how to compute the required cells in a spreadsheet. That is the reasoning engine.
The logical relationships defined in the spreadsheet, such as this cell is equal to the sum of those cells, are then used to compute values for different inputs. The result is financial users can directly enter the types of relationships they deal with in a familiar manner, without requiring a programmer. The underlying spreadsheet engine does the computation for them.
As we all know, spreadsheets are tremendously popular because they let non-programmers encode logical relationships that are executed by the spreadsheet reasoning engine. Of course, they are limited to expressing the sorts of things you can express in an array of related cells and formulae.
There are many general purpose expert system tools and business rule products that follow the same architecture. They provide a knowledge representation for entering logical relationships as rules, and a reasoning engine that knows how to execute those rules.
These tools are powerful and are often used to solve the problem of encoding logical relationships.
The degree to which they are successful is related to how closely the semantics of the particular logical relationships are to the given tool. When the tool does not fit particularly well, then often, programmers are still needed to code the relationships for the tool.
This means those with the know-how don’t maintain the logicbase directly. On the other hand, this is a better solution than using traditional tools because the programmer is now working with declarative specifications of the logical relationships rather than forcing them into procedural code.
The result is faster, more reliable response to changing conditions.
Prolog is a tool that has a reasoning engine that takes as input formal logical assertions of facts and relationships. It’s knowledge representation is ideal for precise sorts of relationships, such as those found in regulations and definitive business rules.
Prolog logic can be compiled for fast execution, and the Prolog reasoning engine is well suited for access from other applications, making it easy to access a logicbase in an application.
Prolog has the advantage over most tools in that it is an ISO standard language with many vendors providing compatible implementations. While not as widespread as Java or C++, many programmers have had some exposure to Prolog.
For application areas where those with the know-how prefer less formal syntax for representing logical relationships, it is not difficult to create front-end maintenance tools that translate a more informal representation into high performance Prolog syntax.
For example, developers might provide a spreadsheet or database front-end that allows those with know-how to enter rules and relationships.
That is then translated into a back-end Prolog logicbase for production.
The result is a hybrid system that provides many of the advantages of an application-specific logicbase, with a reliable, high-performance, general purpose logic reasoning engine for deployment.
Application-specific knowledgebases have tremendous advantages for those cases where they are cost-effective. They provide a very powerful tool for those with the know-how to use, and deployment without requiring programmer intervention.
The result is fast reliable turn around of the business logical knowledge in response to changing business environments. The trade-off is development cost, as it takes time and money to design and build a custom knowledge representation and reasoning engine.
Prolog can greatly reduce the cost of building these custom tools. In addition to its easily learned and used formal logicbase capabilities, Prolog supports more advanced logic programming.
Logic programming is an extremely powerful programming technology ideally suited for implementing custom tools for maintaining and deploying logical knowledge.
While Prolog’s easily learned pure logic is limited in its application to knowledge that is formal in nature, using logic programming, it is almost trivial to design knowledge representation formats for an infinite variety logical knowledge.
In a fraction of the time and code it would take using traditional programming technologies, logic programming can be used to implement reasoning engines that provide any sort behavior a particular application requires.
Logic Programming
Logic programming makes use of Prolog’s built-in pattern-matching and search algorithms. It might be called meta logic, because with logic programming it is easy to create a wide variety of ways to represent and reason over knowledge. It takes some learning for a programmer to become skilled at logic programming, but once learned, allows for very rapid development of specialized knowledge-base tools. The advantages to this approach are immense. It allows for the customization of knowledge representation to exactly the form that is easiest to work with for those that matter most, the people with the know how that is being encoded. The result is responsibility for the knowledge lies with those that have the knowledge. |
Amzi! offers a variety of products and services all aimed at deploying application components that make use of logical knowledge.
The resulting applications can be deployed on Windows or Unix operating systems and be integrated into a variety of Web-based or stand-alone environments.
A subset of Amzi! Prolog provides an easily learned and used syntax for expressing logical relationships directly as pure logical assertions. Together these assertions form a logicbase that can be queried much as a database can.
Because such a logicbase is "pure" logic it is best suited for application areas where the rules and relationships are crisp and well defined. Examples include regulations, such as for taxes or insurance forms, and business rules, such as for pricing, underwriting or workflow.
The Amzi! Logic Server allows the logicbase to be deployed on the Web or as part of a stand-alone application. It can run on Windows or Unix operating systems and connect directly to software written in languages such as Java, C++, VB, C# and Delphi.
Prolog syntax can also be generated from other forms of logical knowledge. If those with the knowledge have their own way of recording that knowledge, say in a spreadsheet or a database, then that form can be translated into executable Prolog for all of the deployment advantages of the Amzi! Logic Server.
In addition to supporting logicbases for directly representing logical relationships, Amzi! Prolog supports full logic programming capabilities.
Logic programming is ideal for modelling any sort of knowledge and its use. Logic programming might be called meta logic, because it uses logical statements to describe general properties and behaviors of the domain being modelled.
Because logic programming is an extension of Prolog logicbase capabilities, it can be used to enhance logicbases with extra functionality. It can also be used to create entirely new applications for representing and reasoning over specific types of knowledge.
Some examples of logic programming applications are intelligent tutorials, broadcast scheduling, product configuration, pattern-matching for customers/suppliers, pattern-matching for mines and output, natural language, and grammar rules for message translation.
For applications involving knowledge representation and reasoning, logic programming often yields greater than a ten to one improvement in productivity when compared to procedural programming tools. The trade off is logic programming can take one to two weeks to learn.
Logic programs developed with Amzi! Prolog can be deployed using the Logic Server, providing all the advantages of embeddability and extendability that the Logic Server offers for logicbases.
KnowledgeWright (KW) is not a specific knowledge base tool, but rather a framework that supports a wide variety of knowledge representations and reasoning engines.
A specific knowledge representation and reasoning engine is called a KnowledgeWright Jig. Jigs are available for general purpose knowledgebases, or more application-specific ones.
The terms "wright" and "jig" are borrowed from manufacturing. Wright refers to craftsmanship, and a jig is used for crafting specific parts.
KnowledgeWright Workshop is a full graphical develoment environment that can work with any KW Jig. The KnowledgeWright API for deploying knowledgebases also works with any KW Jig.
KnowledgeWright is distributed with some common Jigs. One is designed for knowledgebases that provide advise and guidance. Another is more specifically designed for support knowledgebases.
Custom KW Jigs for specific applications are available as well.
Product: Amzi! Consulting
Amzi! provides custom solutions in a variety of ways:
Weather Shield provides configuration and pricing information for doors and windows (the glass type) using a hybrid logicbase. The knowledge is maintained by sales and manufacturing experts in a database format, which is translated into a Prolog logicbase for download and deployment on customer computers. This makes it very easy to do business with Weather Shield.
DigitalXPress schedules real-time streaming video, multicasts and large data transfers via satellites. Their high-performance scheduler, a logic program, creates the schedule in real-time as prioritized requests are entered.
eoTek, a supplier of mortgage services for Nexstar, maintains separate knowledgebases of pricing and underwriting rules. They switched from a pure Java approach to a hybrid logicbase approach, gaining faster turnaround of pricing/underwriting changes, shorter test cycles, increased reliability, and high performance. This gives Nexstar a competitive edge in mortgage services.
Youbet.com supplies dynamic Web content for the horse racing enthusiast. It has separate logic program and logicbase that describe how content is extracted from a large and changing set of suppliers, for example various race tracks around the World. This lets them quickly provide the latest services for their customers.
CCH uses a hybrid logicbase approach for use by applications that fill out insurance forms. Changing regulations and forms are maintained by those that know the regulations and forms without need for program modification.
GeoReference Online uses logic programming to implement a sophisticated ontological and semantic net tool used to build applications that aid geologic exploration.
U.S. Army uses a custom knowledgebase from Amzi! that uses Arden medical expertise syntax for knowledge representation. The domain is breast cancer information and the knowledge is maintained directly by non-programmers with breast cancer expertise.
CST hired Amzi! for the development of technical support knowledgebase tools as part of a start-up venture.
SAIC subcontracted Amzi! for the development of a custom knowledge archiving and reasoning system that would allow collaborative development and use of knowledge from government funded medical research. This was a three-tiered 100% pure Java application.
A major computer manufacturer hired Amzi! for custom extensions to the Prolog engine to support proprietary high-performance Web applications. (Those extensions are part of the latest Amzi! release.)
A provider of equipment design and cost modelling software for the chemical and refinery industries hired Amzi! to port its Prolog engine to VMS, and to Alphas utilizing full 64-bit addressing.
Pacific AI hired Amzi! to design and build a knowledge representation and reasoning engine to be used for creating intelligent tutorials in a variety of subject areas.
Fitcentric hired Amzi! to implement a customer jig for KnowledgeWright that allowed the easy encoding and deployment of physiological logical knowledge specific to providing coaching advice for endurance athletes.
A human resources specialist is using the KnowledgeWright Guide Jig to implement a knowledgebase providing advice on available employee benefits.
A software applications development company hired Amzi! to train developers in the use of Prolog for the implementation of an airline pricing system.
Two major software vendors license Amzi! products for inclusion in workflow products.
These are the primary benefits of the Amzi! approach to deploying logical knowledge, helped with some metrics from a customer that kept good statistics.
Amzi! inc. is a small privately-owned business that specializes in products and services for maintaining and deploying knowledge that is best stored as logical relationships. It has been in business since 1991, servicing a wide range of commercial and government customers with a level of support that only a small, focused company can provide.


DETECTION
- Inject </foo> to all parameters one by one and watch for app behaviour change. If there is change then parameters can be parsed into SOAP object
- If </foo> caused different app behaviour, inject <foo></foo> and watch if behaviour is normal again
- If application returns some of requested parameter try to inject
- test</foo>
- test<foo></foo>
- If any of injection returns each other or just test then our input is parsed with XML parsel
- If there are more parameters try to inject XML comment markup and watch or errors
- ?param1=<!--value1¶m2=value2!-->
- ?param1=!-->value1¶m2=value2<!--


With color option
Show current visible items
Show groups
Delete arrow between 3 and 8
visible items:


Please wait a moment
Enter your username
You need to log in
Are you sure you want to delete this recipe?
Please input


#assign serverconfig="active">
ServerConfig
is a bean that has all the configuration options used to create
EbeanServer instances.
We pass a ServerConfig
instance to EbeanServerFactory
to programmatically
create an EbeanServer instance.
By default ServerConfig has register=true and this means that the EbeanServer instance is registered with
the Ebean singleton and can be later accessed via Ebean.getServer(serverName)
You need to explicitly ServerConfig.setRegister(false) if you don't this feature.
```java ServerConfig config = new ServerConfig(); config.setName("pg"); ... EbeanServer server = EbeanServerFactory.create(config); ... // Later on we can get the server instance // using it's name via Ebean EbeanServer server = Ebean.getServer("pg"); ```
You can set ServerConfig.setDefaultServer(true) to indicate that the EbeanServer instance created should
be the 'default' EbeanServer and can be later accessed via Ebean.getDefaultServer()
For dependency injection with Guice, Spring and similar DI frameworks typically a "provider" or "factory"
is required that creates a ServerConfig, configures it as required perhaps using ebean.properties or
external properties and then uses EbeanServerFactory
to create the EbeanServer instance.
It is common and expected that you want to be able to both @Inject
EbeanServer
instances in the traditional DI coding style and also use the active record style. This can be done
when the EbeanServer instances are created with register
as true and one instance marked
as the default server
.


Choropleth Map | Open Drive-In Theaters in the United States
The chart above demonstrates the number of open drive-in movie theaters by state. The states with the most open drive-in theaters are:
- New York
- Pennsylvania
- Ohio
- Indiana
- California
Javascript library used to build this map: Leaflet


Ortakoy, Istanbul
X-Y
Lat-Lng
Zoom
Regional Boundary
ATM
Bank
Bar
Beauty Center
Car Parking
Grocery Store
High School
Hotel
Library
Market
Middle School
Mosque
Pharmacy
Police
Primary School
Restaurant
Sports Club
Supermarket
Theater
Work Center
Other
3D
2D
×
Plot Heat-Map
ATM
Bank
Bar
Beauty Center
Car Parking
Grocery Store
High School
Hotel
Library
Market
Middle School
Mosque
Pharmacy
Police
Primary School
Restaurant
Sports Club
Supermarket
Theater
Work Center
×
Select Map Style
Style
Style
Style
Style
Style
Style
Style
×
Polar Area Chart
×
Live Traffic Chart
×
Read Data
ATM
Bank
Bar
Beauty Center
Car Parking
Grocery Store
High School
Hotel
Library
Market
Middle School
Mosque
Pharmacy
Police
Primary School
Restaurant
Sports Club
Supermarket
Theater
Work Center
×
View Data
S.No.
Address
Lat-Lng


Username
Password
Back Don't have an account？ Sign up
E-mail
Phone
Confirm password
Back Already had an account？ Sign in


Alappuzha , also known by its former name Alleppey,is the administrative headquarters of Alappuzha District in the Indian State of Kerala. Alappuzha is a city and a municipality in Kerala with an urban population of 174,164 and ranks third among the districts in literacy rate in the State of Kerala. In 2016, the Centre for Science and Environment rated Alappuzha as the cleanest town in India. Alappuzha is considered to be the oldest planned city in this region and the lighthouse built on the coast of the city is the first of its kind along the Laccadive Sea coast.
Pathiramanal (Malayalam: പാതിരാമണൽ) is a small island inMuhamma panchayat of Alappuzha district . The name Pathiramanal means 'midnight sand'. The scenic beauty of both sides of the lake as well as that of the island is mind blowing. It is home to many rare varieties of migratory birds from different parts of the world. The Pathiramanal Island is 28.505 ha. It is about 1.5 km from Muhamma boat jetty and about 13 km from Alapuzha.
Read MoreThe Krishnapuram Palace is a palace and museum located in Kayamkulam near Alappuzha in Alappuzha district, Kerala in southwestern India. It was built in the 18th century by Anizham Thirunal Marthanda Varma (1729–1758 AD), the Travancore kingdom. It is built in the architectural style of Kerala with gabled roof, narrow corridor and dormer windows, near the Krishnaswamy Temple at Krishnapuram.
Read MoreAlappuzha Beach is a beach in Alappuzha town and a tourist attraction in Kerala, India. Beach has an old pier which extend to sea is over 150 years old.Alappuzha beach host many events annually like Alappuzha beach festival,Sand art festival and many more.Alappuzha beach is one of the major tourist spot in Alappuzha town. Alappuzha Lighthouse situated near to the beach. Beach is accessible through various town roads and an elevated highway will passing by the beach as part of Alappuzha bypass in order to preserve the beauty of the area.
Read More


| WinAPI Wrapper |
The DC class extends Device Context with C++ functionality. See Device Contexts Overview for details.
The DC class does not contain any create/delete functionality. This functionality is supplied by appropriate autodestructive classes:
| Class | Constructor calls: | Destructor calls: |
|---|---|---|
| CompatibleDC | CreateCompatibleDC | DeleteDC |
| ClientDC | GetDC | ReleaseDC |
| WindowDC | GetWindowDC | ReleaseDC |
| DCEx | GetDCEx | ReleaseDC |
| PaintDC | BeginPaint | EndPaint |
The DC class has the following functions:
| Function | Related WinAPI function | Description |
|---|---|---|
| DC | - | Assigns an existing HDC handle to the object. |
| IsValid | - | Checks whether the handle kept by the object is nonzero. |
| operator HDC | - | Returns the HDC handle. |
| Cancel | CancelDC | Cancels any pending DC operations. |
| SetPixel | SetPixel | Sets a pixel to a specified color. |
| PatBlt | PatBlt | Paints a rectangle using the specified brush. |
| BitBlt | BitBlt | Bit block transfer (e.g. copy from one DC to another). |
| StretchBlt | StretchBlt | Bit block transfer with stretching/skewing capability. |
| FillRect | FillRect | Fills a rectangle with a brush. |
| FrameRect | FrameRect | Draws a border around a rectangle. |
| InvertRect | InvertRect | Inverts a rectangle. |
| Ellipse | Ellipse | Draws an ellipse. |
| Rectangle | Rectangle | Draws a rectangle. |
| RoundRect | RoundRect | Draws a rectangle with rounded corners. |
| Chord | Chord | Draws a chord. |
| Pie | Pie | Draws a pie. |
| Polygon | Polygon | Draws a polygon. |
| PolyPolygon | PolyPolygon | Draws a list of polygons. |
| Arc | Arc | Draws an elliptic arc. |
| AngleArc | AngleArc | Draws a line segment arc. |
| SetArcDirection | SetArcDirection | Sets drawing direction for rectangle and arc drawing functions. |
| MoveTo | MoveToEx | Moves pen to a specified location. |
| LineTo | LineTo | Draws a line segment from the current pen location to a new location (and moves the pen). |
| Polyline | Polyline | Draws a list of line segments. |
| PolylineTo | PolylineTo | Draws a list of line segments taking into account the current pen position. |
| PolyBezier | PolyBezier | Draws a list of Bezier curves. |
| PolyBezierTo | PolyBezierTo | Draws a list of Bezier curves taking into account the current pen position. |
| PolyDraw | PolyDraw | Draws a list of segments and Bezier curves. |
| SetBkColor | SetBkColor | Sets the current background color. |
| SetBkMode | SetBkMode | Sets the current background mix mode. |
| GetBkColor | GetBkColor | Returns current background color. |
| GetBkMode | GetBkMode | Returns current background mix mode. |
| InvertRgn | InvertRgn | Inverts colors of a specified region. |
| PaintRgn | PaintRgn | Paints a region with current brush. |
| FillRgn | FillRgn | Fills a region with specified brush. |
| FrameRgn | FrameRgn | Draws a border around a region. |
| DrawText | DrawText | Draws formatted text in a rectangle. |
| TextOut | TextOut | Draws text at the specified point. |
| SetTextColor | SetTextColor | Sets current text color. |
| GetTextColor | GetTextColor | Returns current text color. |
| SetTextAlign | SetTextAlign | Sets text alignment. |
| GetTextAlign | GetTextAlign | Returns current text alignment. |
| GetTextExtentPoint | GetTextExtentExPoint | Calculates number of characters of a string that will fit in a specified rectangle. |
| GetTextExtentPoint32 | GetTextExtentPoint32 | Calculates width and height of a specified string taking into account current font. |
| GetTextMetrics | GetTextMetrics | Returns font metrics in a TEXTMETRIC structure. |
| SetStretchBltMode | SetStretchBltMode | Sets streching mode for StretchBlt. |
| SetBrushOrg | SetBrushOrgEx | Sets brush origin. |
| DrawCaption | DrawCaption | Draws window caption. |
| DrawEdge | DrawEdge | Draws an edge. |
| DrawFocusRect | DrawFocusRect | Draws a focus rectangle. |
| DrawFrameControl | DrawFrameControl | Draws frame of a windows control. |
WinAPI Wrapper, WinAPI Wrapper classes, Device Contexts Overview, Device Context Functions


iterami
/
Guides.htm
/
EVE Online
/Arbitrator
Fittings:
DPS-DRONE-CHEAP
UNDOCK-RANGE-CHEAP
Fittings
Code
Notes
DPS Drone Cheap
[Arbitrator, DPS-DRONE-CHEAP] AE-K Compact Drone Damage Amplifier AE-K Compact Drone Damage Amplifier AE-K Compact Drone Damage Amplifier AE-K Compact Drone Damage Amplifier AE-K Compact Drone Damage Amplifier Denny Enduring Omnidirectional Tracking Link Denny Enduring Omnidirectional Tracking Link Denny Enduring Omnidirectional Tracking Link Denny Enduring Omnidirectional Tracking Link Drone Link Augmentor II Drone Link Augmentor II Drone Link Augmentor II Salvager II Federation Navy Hammerhead x5 Federation Navy Hobgoblin x5 Federation Navy Ogre x3
Undock Range Cheap
[Arbitrator, UNDOCK-RANGE-CHEAP] Signal Amplifier II Signal Amplifier II Signal Amplifier II Signal Amplifier II Signal Amplifier II Alumel-Wired Enduring Sensor Booster Alumel-Wired Enduring Sensor Booster Alumel-Wired Enduring Sensor Booster Alumel-Wired Enduring Sensor Booster Civilian Gatling Pulse Laser Drone Link Augmentor II Prototype Cloaking Device I Salvager II Medium Ionic Field Projector II Medium Ionic Field Projector II Medium Ionic Field Projector II Federation Navy Hammerhead x5 Federation Navy Hobgoblin x5 Federation Navy Ogre x3 Targeting Range Script x4


{{ partial "head.html" . }}
{{ partial "nav.html" . }} {{ partial "header.html" . }} {{ partial "about.html" . }} {{ partial "services.html" . }} {{ partial "callout.html" . }} {{ partial "portfolio.html" . }} {{ partial "action.html" . }} {{ partial "map.html" . }} {{ partial "footer.html" . }} {{ partial "js.html" . }}


In CAF each web app instance has its own CA: an autonomous, stateful, permanent cloud proxy co-designed with the application. A CA simplifies integration with cloud services or the external world. Let's look at some examples:
Rich native mobile apps complement a front-end with a set of local background services (i.e., processes) that interact with each other and the front-end by using a local bus abstraction (e.g., D-Bus in Linux).
Replacing a native front-end by an HTML5/JS one is becoming easier with the increase in performance and capabilities of new browsers. The issue is what to do with the local services. On a closed platform like Apple iOS, we cannot install a plugin or a custom browser to implement them.
A naive solution is to assume that the local bus is now the Internet, and background services can simply become Web services. This is not going to work. Latencies across the Internet are many orders of magnitud larger. The failure mode of a Web service is very different from the one of a local process. And now we have the hackers to worry about...
Instead, we want to recreate the bus and background services within a data center. In the data center we have a reliable network with very low latency. We can monitor and quickly restart services that fail. We can also impose mandatory security policies to all the end-points. It is getting closer to what we had before within a device.
How to interact effectively with this remote ecosystem from a browser? We use a cloud proxy (a CA) to represent an app instance in the data center. This proxy is an active entity that has been co-designed with the app; therefore, it can save many expensive Internet round-trips. It can also pipeline requests or buffer responses to hide latency.
Many gadgets with an Internet presence are battery operated. They have sensors and actuators that should be accessible from anywhere. They are off more than on.
This is problematic when a cloud service or a mobile app wants to interact with them. A typical cloud service analyzes in real time a stream of external data and, using the local information provided by the gadget sensors, makes a decision on what this device should do next. If the gadget is not on-line, the service guesses the state of its sensors, and buffers instructions until it re-connects. When several services are interacting with the same off-line device, they all have to guess and buffer; and they can have conflicting views of the gadget's state, leading to unpredictable behavior. Not great...
An active CA represents the gadget in the cloud at all times; caching the last known state of its sensors, queueing instructions until the device is ready, guessing its future state based on those queued instructions, or being a first-class citizen in any relevant workflow. The goal is to hide to other services (or applications) that they are not interacting with the real gadget, creating the illusion that the device is always on-line.
Using CAs also simplify collaboration between devices. CA to CA interactions in the data center are secure and reliable, have very low latency, and can be transparently deferred or re-directed when the gadget is not online. This solves some of the problems of device-to-device direct communication.
Many mobile applications establish relationships between users according to user preferences. This is implemented by maintaining a social graph, which is later used to guide interactions or propagate state. Today most apps rely on Facebook or Google APIs to do so. But giving up so much control to a monopoly does not help the creativity of application writers or the privacy of consumers.
Rolling your own social graph for your app is a daunting task. Forcing potential customers to explicitly friend each other is a non-starter. It is also difficult to secure interactions, handle failures gracefully, or maintain acceptable performance when your application becomes more popular. More importantly, most independent mobile app programmers do not want to maintain a back-end, and many consumers do not trust independent programmers to keep a back-end running long term.
CAs can help. In the data center each user is represented by a CA. CAs negotiate edges in the social graph on behalf of their users. They can consult external services or use an algorithm to decide whether they should friend someone; when both parties agree they create the edge. In this way the creation of the graph is done securely in the background, with limited end-user involvement. Previous attempts to automate social graph creation have not been very successful, but the key difference here is that we have a particular application in mind: mistakes are less risky and graph creation algorithms can exploit the application context.
An application-agnostic, scalable service to propagate state using the graph can help too. A trusted third-party could host this service (and the CAs) on behalf of many applications. See our discussion of Sharing Actors in CAF Design


A combination of commissions, promotional materials, personal projects, and animation from the start of my design career.


|
|
ATL SMTP ClassesThis article was contributed by Robert Simpson. Environment: Visual C++ 6.0, ATL 3.0, runs in Win9X/NT/2K OverviewThis is yet another set of lightweight, yet full-featured non-MFC SMTP classes to enable C++ programs to send outgoing mail.Features
The source code is heavily documented, so I will concentrate on the basics of implementing SMTP support in your applications. SetupSetup is pretty straightforward. Just insert the smtp.cpp, base64.cpp, smtp.h and base64.h files into a new ATL project or into your existing ATL project. A very simplistic .cpp file to implement SMTP would look like this:
#include "stdafx.h"
#include "resource.h"
#include "smtp.h"
// ... preamble excluded for clarity
extern "C" int WINAPI _tWinMain(HINSTANCE hInstance, HINSTANCE /* hPrevInstance */, LPTSTR lpCmdLine, int /* nShowCmd */) { CSmtp mail; CSmtpMessage msg; CSmtpAddress cc; CSmtpMessageBody body; CSmtpAttachment attach; // Initialize winsock WSADATA wsa; WSAStartup(MAKEWORD(2,0),&wsa); msg.Subject = _T("Testing"); // Who the message is from msg.Sender.Name = _T("My Username"); msg.Sender.Address = _T("myaddress@myemail.com"); // Primary recipient msg.Recipient.Name = _T("Someone Else"); msg.Recipient.Address = _T("someoneelse@somewhereelse.com"); // Uncomment these lines to add a CC address // cc.Name = _T("A CCd User"); // cc.Address = _T("ccuser@ccdaddress.com"); // msg.CC.Add(cc); // Uncomment these lines to add a BCC address // cc.Name = _T("Yet Another CC"); // cc.Address = _T("YACC@somewhere.com"); // msg.BCC.Add(cc); // Assign a value to the message body body = _T("This is a test of the CSmtp class and its support classes, \ CSmtpAddress, CSmtpMessage and CSmtpMessageBody. The textual portion \ of this message should be encoded in the \"quoted-printable\" transport \ encoding scheme, because the lines in the message are more than 76 \ characters long.\r\n\r\nThe CSmtpMessage class makes a best-guess \ effort to determine the proper transport encoding to use to ensure the \ data comes across in the format originally intended.\r\n"); // Add the message body to the message msg.Message.Add(body); // Here is an example of an alternate message body // body = _T("Hello World..."); // body.Encoding = _T("text/html"); // msg.Message.Add(body); // Here are some samples of adding attachments to the message // attach = _T("d:\\temp\\ntregmon.zip"); // msg.Attachments.Add(attach); // // attach = _T("d:\\src\\smtpapp\\readme.html"); // msg.Attachments.Add(attach); // Assign these values only if your SMTP server requires authentication mail.m_strUser = _T("myusername"); mail.m_strPass = _T("mypassword"); // Attempt to connect to the mailserver if (mail.Connect(_T("mail.mymailserver.com"))) { // Send the message and close the connection afterwards mail.SendMessage(msg); // Alternate one-shot method of sending a message // mail.SendMessage(_T("foo@bar.com"), _T("someone@else.com"), _T("My Subject"), _T("This is the msg body")); mail.Close(); } WSACleanup(); return 0; } For added control, you can easily implement a class which inherits from the CSmtp class. By providing your own implementation of SmtpWarning, SmtpError, SmtpCommandResponse and SmtpProgress, you can provide users with some visual indication of what is happening. Furthermore, the SmtpWarning event is raised when authentication fails, either when the connection is first established, or in response to an outgoing mail request being made. By overriding this event, you can provide users with a way of supplying credentials to be resumbitted to the SMTP server. The CSmtpMessage class also supports the multipart/related MIME type, which is used most commonly to embed images and other items into an html message. Here's an example of how to embed an image into a mail message using multipart/related: CSmtpMessage msg;
CSmtpMessageBody body;
CSmtpAttachment attach;
// The MimeType must be explicitly set for this type of message
msg.MimeType = mimeRelated;
body = _T("This is an inline image
 \
");
body.Encoding = _T("text/html");
attach = _T("c:\\web\\myimage.jpg");
attach.ContentId = _T("1234567");
msg.Message.Add(body);
msg.Attachments.Add(attach);
I'm not sure about compatibility, but you can also reference the attachment by name, in which case, the code would be even simpler: msg.MimeType = mimeRelated; body = _T("This is an inline image
 \ "); body.Encoding = _T("text/html"); attach = _T("c:\\web\\myimage.jpg"); msg.Message.Add(body); msg.Attachments.Add(attach); I tested this on Outlook 2000 and it worked fine. I'd be curious to note if this works for other e-mail applications. Version History
DownloadsDownload the source code - 16 KbHistoryDate Posted: March 13, 2001Last Updated: April 10, 2001 Comments:
|
|


Go to the MGGG grid tool (opens in new tab) 2 and scroll down to the section with bar graphs. Create a grid that matches Table 4.8.3, then change one of the Clubs to a Heart so that there are exactly 9 Hearts. Then create a district plan (using “Build a Plan \(\mathcal{D}\)”) in which Hearts win 3 of the 5 districts. Observe the distributions to determine if your plan is an outlier.
in-context


Description:
ATA GUI is a project to make ATA available to all users. ATA GUI is an Advance Tool for Android™ powered by SDK Platform Tools. This software is fully open-source so you can check all the code, you can find on Github.
Program author: msartore
Email<EMAIL_ADDRESS>Features:
- Uninstall, data cleaning and disable/enable system/user applications without root
- Install applications, Uploading files
- Grant WRITE_SECURE_SETTINGS permission
- Grant DUMP permission
- Check for granted permissions
- ADB over network
- Bloatware Detector
- REBOOT INTO THE RECOVERY, REBOOT SMARTPHONE
- REBOOT INTO THE Fastboot/Bootloader
- FLASH BOOT , BOOTLOADER, RADIO, RECOVERY, SYSTEM, VENDOR, CACHE, ROM
- Erase user data and cache
- UNLOCK BOOTLOADER (Not all device supported)
- LOCK BOOTLOADER (Not all device supported)
- OEM device-id
- Get device info
- Sideload a zip
- Screen Share
- GetEvent and Logcat
- Task manager
- Support to Multiple user device
Terms of Use:
ATA-GUI is 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.
Android is a trademark of Google LLC.


Mockito
class for usage.See: Description
| Interface | Description |
|---|---|
| ArgumentMatcher<T> |
Allows creating customized argument matchers.
|
| BDDMockito.BDDMyOngoingStubbing<T> |
See original
OngoingStubbing |
| BDDMockito.BDDStubber |
See original
Stubber |
| BDDMockito.Then<T> |
Provides fluent way of mock verification.
|
| InOrder |
Allows verification in order.
|
| MockingDetails |
Provides mocking information.
|
| MockitoDebugger | Deprecated
- please use
MockingDetails.printInvocations() instead. |
| MockitoFramework |
Mockito framework settings and lifecycle listeners, for advanced users or for integrating with other frameworks.
|
| MockitoSession |
MockitoSession is an optional, highly recommended feature
that helps driving cleaner tests by eliminating boilerplate code and adding extra validation. |
| MockSettings |
Allows mock creation with additional mock settings.
|
| Class | Description |
|---|---|
| AdditionalAnswers |
Additional answers provides factory methods for answers.
|
| AdditionalMatchers |
See
Matchers for general info about matchers. |
| ArgumentCaptor<T> |
Use it to capture argument values for further assertions.
|
| ArgumentMatchers |
Allow flexible verification or stubbing.
|
| BDDMockito |
Behavior Driven Development style of writing tests uses //given //when //then comments as fundamental parts of your test methods.
|
| Matchers | Deprecated
Use
ArgumentMatchers . |
| Mockito |
|
| MockitoAnnotations |
MockitoAnnotations.initMocks(this); initializes fields annotated with Mockito annotations.
|
| Enum | Description |
|---|---|
| Answers |
Enumeration of pre-configured mock answers
|
| Annotation Type | Description |
|---|---|
| Captor |
Allows shorthand
ArgumentCaptor creation on fields. |
| CheckReturnValue |
This annotation is not supposed to be used by Mockito end-users.
|
| Incubating |
The annotation conveys following information:
The API is fairly new and we would appreciate your feedback.
|
| InjectMocks |
Mark a field on which injection should be performed.
|
| Mock |
Mark a field as a mock.
|
| NotExtensible |
Indicates to the user that she should not provide custom implementations of given type.
|
| Spy |
Allows shorthand wrapping of field instances in an spy object.
|
Mockito
class for usage.Mockito


Here you can use rows and columns to organize your footer content. Lorem ipsum dolor sit amet, consectetur adipisicing elit.
© 2019 Copyright: SmartSpace.com


Kymco Reveals Electric Sports Bike ‘RevoNEX’ At 2019 EICMA
by Sahil KukrejaKymco has revealed a naked and street-legal version of the SuperNEX which was showcased at the same event last year
Kwang Yang Motor Co Ltd, or Kymco is one of the biggest two-wheeler manufacturers not only in Taiwan, but the whole world. Now, the brand is looking to go all electric, and hence has showcased the RevoNEX concept at the 2019 Milan Motor Show (EICMA).
The Taiwanese brand is focused more on urban two-wheelers, and hence the SuperNEX sports bike which was showcased at 2018 EICMA, is something that might take a long time to hit production. The RevoNEX might not be as powerful as the former, but is touted to reach showrooms in 2021.
Kymco has not revealed any of the details about the electric motor or the range yet, however what we do know is that the RevoNEX is capable of reaching 100 kmph in just 3.9 seconds, and can reach its top speed of 205 kmph in 11.8 seconds, thanks to its instant torque delivery and Kymco’s Electric Full Range Acceleration. The bike will also be getting a six-speed gearbox.
The RevoNEX was seen at the 2019 EICMA sporting all-LED headlamps and tail lamps, a TFT instrument cluster and artificial engine sound like we have already seen in India on the Revolt RV400 electric bike.
In terms of safety tech on offer, the upcoming Kymco bike will get disc brakes on both ends with Brembo calipers, ABS, four different ride modes namely Poised, Assertive, Bold and Extreme, along with traction control. The Taiwanese brand has already made an entry in the Indian market with a partnership with the Indian electric vehicle manufacturer called 22Motors, which is called 22Kymco.
The manufacturer currently offers four scooters in India, (both petrol-powered and electric) ranging from Rs 90,000 to Rs 1.85 lakh (all prices, ex-showroom). Given the manufacturer has already entered the Indian market, the inclusion of the RevoNEX in its Indian lineup is likely.
As of now, 22Kymco brings its scooters to India through CBU route, but the brand is looking to localize the production of its scooters in India, and has already plans for setting up a manufacturing facility in Bhiwadi, Rajasthan.


Bleary Dan Osborne stumbles out of Butterfly Ball after partying with Christine McGuinness
Dan took the night off from daddy duties to party at the charity bash in London while wife Jacqueline Jossa is in Australia for I'm A Celebrity
by Irishmirror.ieDan Osborne was spotted enjoying a night out while his wife Jacqueline Jossa is down under preparing to enter the I'm A Celeb jungle.
The former TOWIE star took a night off from daddy duties to attend the Butterfly Ball at the Grosvenor Hotel in London.
Arriving at the swanky do via the red carpet, the dad-of-three, looked smart in a black suit and skinny tie.
But by the end of the evening he looked worse for wear, with his shirt unbuttoned and clinging on to his tie - and the support of a pal - as he stumbled out of the fancy venue.
Celebs gathered for the annual charity bash in aid of the Caudwell Children charity that supports and helps the lives of children with disabilities.
Other stars partying at the charity ball also included Christine McGuinness , who Dan was spotted chatting to in the lobby of the hotel.
The pair had a particularly animated conversation as Paddy McGuinness' wife repeatedly pulled funny faces.
It appeared as though Dan, who was fired from TOWIE in 2015 over threats to stab his ex-girlfriend , let his hair down while partying at the do.
A dishevelled Dan was all smiles and giggles as he attempted to navigate the pavement with the help of his pals at the end of the night.
He spent time trying to take selfies while the rest of the guestlist mingled around the exit, waiting to be taken home.
Dan partied alongside the like of other reality stars like Amy Childs, Imogen Thomas, Love Island's Tyne-Lexy Clarson and Geordie Shore's Holly Hagan.
Elsewhere Lizzy Cundy, Nell McAndrew, and host Kirsty Gallacher, all made impressive entrances on the red carpet.
Dan's attendance at the Float Like A Butterfly Ball, which also hosted a charity boxing match, comes after he made a show of unity for his wife alongside his kids.
He has his hands full while Jac appears on I'm A Celeb, and showed what he's been up to while she's in Australia.
Posing with his three children eldest son Teddy, from his previous relationship, and his daughters Ella and Mia in a cute snap as they got used to life without the ex-EastEnders star.
"Morninggg not the best picture but this is us first thing in the morning, cuddles with daddy always first, then breakfast time," Dan captioned the shot.


This has probably been asked many times before but if someone could point me to the direction of this answer I would be grateful.
Since Rangers dont get the animal companion feat until lvl 6 is the companion meant to start at lvl 1 or 6? Do the druid/ranger lvls stack (capping at lvl 40) if both classes are taken?
Quote: Posted 11/27/06 15:16 (GMT) -- Jehoshua
This has probably been asked many times before but if someone could point me to the direction of this answer I would be grateful.
Since Rangers dont get the animal companion feat until lvl 6 is the companion meant to start at lvl 1 or 6? Do the druid/ranger lvls stack (capping at lvl 40) if both classes are taken?
The companion is the same (class) level as you are. Druid and Ranger do not stack, the companions are separate. _________________ "With Europe liberated, the people of the world turned their attention to that old devil, the United States of America [...] We taught that monster of old the true meaning of freedom." Star Wreck
Edited By FinneousPJ on 11/27/06 17:27
If memory serves me right, the animal companion is always 3 levels above your druid/ranger class level (that's why the animal companion is so strong at low levels) as Finn said, they don't stack.


Corbyn vows to deliver ‘massive investment’ in Scotland if Labour win election
Jeremy Corbyn has vowed to deliver “massive investment” in Scotland if his party wins the General Election.
The UK Labour leader, who is embarking on a two-day tour of Scottish seats, said his rivals – the SNP and Tories – had neither the “ideas” nor the “will” to transform Scotland for the better.
Mr Corbyn said voters had a “once-in-a-generation chance” to transform the country as he outlined his promise to deliver a second Brexit referendum and provide more funding for public services.
We will build the homes people need and end homelessness, tackle the climate emergency, provide a social care system that gives dignity to our older people and the carers who look after them, end child poverty and end fuel poverty
He said: “A UK Labour government will provide the massive investment Scotland deserves.
“We will build the homes people need and end homelessness, tackle the climate emergency, provide a social care system that gives dignity to our older people and the carers who look after them, end child poverty and end fuel poverty.
“The SNP and the Tories have neither the ideas or the will to transform Scotland for the better, so are hiding from their records in government.
“This is a once-in-a-generation chance to transform Scotland and the whole UK. When Labour wins, Scotland wins.”
But the SNP’s David Linden said only his party could beat the Tories and help to “lock Boris Johnson out of Downing Street”.
“Labour have nothing positive to offer Scotland, and a vote for them in some places would only help the Tories.
“Jeremy Corbyn’s failure to properly oppose Brexit is set to hit them hard in Scotland, where the remain vote has only strengthened since 2016. And nothing he says or does on his visit to Scotland can mask that failure.
“Only a vote for the SNP is a vote to escape Brexit and to put Scotland’s future in Scotland’s hands – not Boris Johnson’s – by giving the country the choice of a better future with independence.”
READ MORE
Boris Johnson: Tory majority government will end ‘groundhoggery’ of Brexit