Objects
This tutorial is for Processing version 1.1+.
If you see any errors or have comments, please
let us know. This tutorial is from the book, Learning
Processing, by Daniel Shiffman, published by Morgan Kaufmann
Publishers, Copyright © 2008 Elsevier Inc. All rights
reserved.
I'm Down with OOP
Before we begin examining the details
of how object-oriented programming (OOP) works in Processing,
let's embark on a short conceptual discussion of "objects"
themselves. Imagine you were not programming in Processing, but
were instead writing out a program for your day, a list of
instructions, if you will. It might start out something like:
- Wake up.
- Drink coffee (or tea).
- Eat breakfast: cereal, blueberries, and soy milk.
- Ride the subway.
What is involved here? Specifically, what things are
involved? First, although it may not be immediately apparent from
how we wrote the above instructions, the main thing is you , a
human being, a person. You exhibit certain properties. You look a
certain way; perhaps you have brown hair, wear glasses, and
appear slightly nerdy. You also have the ability to do stuff ,
such as wake up (presumably you can also sleep), eat, or ride the
subway. An object is just like you, a thing that has properties
and can do stuff.
So how does this relate to programming? The properties of an
object are variables; and the things an object can do are
functions. Object-oriented programming is the marriage of all of
the programming fundamentals: data and functionality.
Let's map out the data and functions for a very simple human
object:
Human data
- Height.
- Weight.
- Gender.
- Eye color.
- Hair color.
Human functions
- Sleep.
- Wake up.
- Eat.
- Ride some form of transportation.
Now, before we get too much further, we need to embark on a
brief metaphysical digression. The above structure is not a human
being itself; it simply describes the idea, or the concept,
behind a human being. It describes what it is to be human. To be
human is to have height, hair, to sleep, to eat, and so on. This
is a crucial distinction for programming objects. This human
being template is known as a class. A classis
different from an object.  I am an
object. That guy on the subway is an object. Albert Einstein is
an object. We are all people, real world instancesof the
idea of a human being.
Think of a cookie cutter. A cookie cutter makes cookies, but it
is not a cookie itself. The cookie cutter is the class,
the cookies are the objects.
Using an Object
Before we look at the actual writing of a
class itself, let's briefly look at how using objects in our main
program (i.e., setup()and
draw()) makes the world a better place.
Consider the pseudo-code for a simple sketch that moves a
rectangle horizontally across the window (we'll think of this
rectangle as a "car").
Data (Global Variables):
- Car color.
- Car x location.
- Car y location.
- Car x speed.
Setup:
- Initialize car color.
- Initialize car location to starting point.
- Initialize car speed.
Draw:
- Fill background.
- Display car at location with color.
- Increment car's location by speed.
To implement the above pseudo-code, we would define global
variables at the top of the program, initialized them in setup(),
and call functions to move and display the car in draw().
Something like:
c = color(0)
x = 0.0
y = 100.0
speed = 1.0
def setup():
size(200, 200)
def draw():
background(255)
move()
display()
def move():
global x
x = x + speed
if x > width:
x = 0
def display():
fill(c)
rect(x, y, 30, 10)
Object-oriented programming allows us to take all of the
variables and functions out of the main program and store them
inside a car object. A car object will know about its data -
color, location, speed. The object
will also know about the stuff it can do, the methods
(functions inside an object) - the car can driveand it
can be displayed.
Using object-oriented design, the pseudocode improves to look
something like this:
Data (Global Variables):
Setup:
Draw:
- Fill background.
- Display car object.
- Drive car object.
Notice we removed all of the global variables from the first
example. Instead of having separate variables for car color, car
location, and car speed, we now have only one variable, a Car
variable! And instead of initializing those three variables, we
initialize one thing, the Car object. Where did those variables
go? They still exist, only now they live inside of the Car object
(and will be defined in the Car class, which we will get to in a
moment).
Moving beyond pseudocode, the actual body of the sketch might
look like:
myCar = Car()
def draw():
background(255)
myCar.drive()
myCar.display()
We are going to get into the details regarding the above code in
a moment, but before we do so, let's take a look at how the Car
class itself is written.
Writing the Cookie Cutter
The simple Car example above
demonstrates how the use of objects in Processing makes for
clean, readable code. The hard work goes into writing the object
template, that is the class itself. When you are first learning
about object-oriented programming, it is often a useful exercise
to take a program written without objects and, not changing the
functionality at all, rewrite it using objects. We will do
exactly this with the car example, recreating exactly the same
look and behavior in an object-oriented manner.
All classes must include four elements: name, data
initialization, and methods. (Technically, the only actual
required element is the class name, but the point of doing
object-oriented programming is to include all of these.)
Here is how we can take the elements from a simple
non-object-oriented sketch and place them into a Car class, from
which we will then be able to make Car objects.
|
# Simple non-OOP car
|
→ |
class Car(object):
|
→ |
The class name |
c = color(255)
xpos = 100
ypos = 100
xspeed = 1
|
→ |
def __init__(self):
self.c = color(255)
self.xpos = 100
self.ypos = 100
self.xspeed = 1
|
→ |
Initializing data |
def setup():
size(200, 200)
def draw():
background(0)
display()
drive()
|
|
|
|
|
def display():
rectMode(CENTER)
fill(c)
rect(xpos, ypos, 20, 10)
def drive():
xpos = xpos + xspeed
if xpos > width:
xpos = 0
|
→ |
def display(self):
rectMode(CENTER)
fill(self.c)
rect(self.xpos, self.ypos,
20, 10)
def drive(self):
self.xpos += self.xspeed
if self.xpos > width:
self.xpos = 0
|
→ |
Functionality |
Class Name: The name is specified by class
WhateverNameYouChoose(object). We then enclose all of the
code for the class in an indented block. Class names are
traditionally capitalized (to distinguish them from variable
names, which traditionally are lowercase).
Data initialization: Python will automatically
call a method named __init__ whenever you create an
object from a class. You should define this method in your class
and initialize its data here. When you're writing code inside of
a method, there's a special word self that allows you to
set variables that are defined on each individual instance of a
class. Variables defined this way are often referred to as
"instance variables." (The __init__ method is analogous
to "constructors" in other object-oriented languages, like Java
and C++.)
Functionality: We can add functionality to our
object by writing methods. The first parameter of every method
(including __init__) should be self. Python
automatically passes this parameter to the method when you call
it; it's what allows you to access each object's instance
variables inside of the method.
Note that the code for a class exists as its own block and can be
placed anywhere outside of setup() and
draw(), as long as it's defined before you use
it.
Using an Object: The Details
Earlier, we took a quick
peek at how an object can greatly simplify the main parts of a
Processing sketch (i.e. setup() and
draw()).
# Step 1. Instantiate the object.
myCar = Car()
def setup():
size(200, 200)
def draw():
background(255)
# Step 2. Call methods on the object.
myCar.drive()
myCar.display()
Let's look at the details behind the above steps outlining
how to use an object in your sketch.
Step 1. Instantiating an object variable.
In order to initialize a variable (i.e., give it a starting
value), we use an assignment operation - variable equals
something. With other Python data types, it looks like this:
# Variable Initialization
var = 10 # var equals 10
Initializing an object is a bit more complex. Instead of simply
assigning it a value, like with an integer or floating point
number, we have to instantiate the object. We do this by
calling the name of the class as though it were a function.
# Object instantiation
myCar = Car()
In the above example, "myCar" is the object variable name and "="
indicates we are setting it equal to something, that something
being a new instance of a Car object. What we are really doing
here is initializing a Car object. When you initialize a
primitive variable, such as an integer, you just set it equal to
a number. But an object may contain multiple pieces of data.
Recalling the Car class, we see that this line of code calls the
__init__ method, a special method that initializes all
of the object's variables and makes sure the Car object is ready
to go.
Step 2. Using an object
Once we have successfully instantiated an object, we can use it.
Using an object involves calling methods that are built into that
object. A human object can eat, a car can drive, a dog can bark.
Calling a function inside of an object is accomplished via dot
syntax: variableName.objectFunction(Function Arguments)
In the case of the car, none of the available functions has an
argument so it looks like:
# Functions are called with the "dot syntax".
myCar.drive()
myCar.display()
Arguments to the __init__ method
In the above examples,
the car object was initialized like so:
myCar = Car()
This was a useful simplification while we learned the basics of
OOP. Nonetheless, there is a rather serious problem with the
above code. What if we wanted to write a program with two car
objects?
# Creating two car objects
myCar1 = Car()
myCar2 = Car()
This accomplishes our goal; the code will produce two car
objects, one stored in the variable myCar1 and one in myCar2.
However, if you study the Car class, you will notice that these
two cars will be identical: each one will be colored white, start
in the middle of the screen, and have a speed of 1. In English,
the above reads:
Make a new car.
We want to instead say:
Make a new red car, at location (0,10) with a speed
of 1.
So that we could also say:
Make a new blue car, at location (0,100) with a speed
of 2.
We can do this by placing arguments inside of the parentheses:
myCar = Car(color(255,0,0), 0, 100, 2)
The __init__ method must be rewritten to incorporate
these arguments:
def __init__(self, c, xpos, ypos, xspeed):
self.c = c
self.xpos = xpos
self.ypos = ypos
self.xspeed = xspeed
In my experience, the use of __init__ method arguments
to initialize object variables can be somewhat bewildering.
Please do not blame yourself. The code is strange-looking and can
seem awfully redundant: "For every single variable I want, I have
to add an argument to the __init__ method?"
Nevertheless, this is quite an important skill to learn, and,
ultimately, is one of the things that makes object-oriented
programming powerful. But for now, it may feel painful. Let's
looks at how parameter works in this context.
Parameters are local variables used inside the body of a function
that get filled with values when the function is called. In the
examples, they have one purpose only, which is to
initialize the variables inside of an object. These are the
variables that count, the car's actual color, the car's actual
x location, and so on. The __init__ methods
arguments are just temporary, and exist solely to pass a
value from where the object is made into the object itself. You
can name these function parameters whatever you want, of
course—they don't have to have the same names as the
instance variables. However, it is advisable to choose a name
that makes sense to you, and also to stay consistent.
We can now take a look at the same sketch with multiple object
instances, each with unique properties.
# Even though there are multiple objects, we still only need one class.
# No matter how many cookies we make, only one cookie cutter is needed.
class Car(object):
# The Constructor is defined with arguments.
def __init__(self, c, xpos, ypos, xspeed):
self.c = c
self.xpos = xpos
self.ypos = ypos
self.xspeed = xspeed
def display(self):
stroke(0)
fill(self.c)
rectMode(CENTER)
rect(self.xpos, self.ypos, 20, 10);
def drive(self):
self.xpos = self.xpos + self.xspeed;
if self.xpos > width:
self.xpos = 0
myCar1 = Car(color(255, 0, 0), 0, 100, 2)
myCar2 = Car(color(0, 255, 255), 0, 10, 1)
def setup():
size(200,200)
def draw():
background(255)
myCar1.drive()
myCar1.display()
myCar2.drive()
myCar2.display()
Objects are data types too!
Assuming this is your first
experience with object-oriented programming, it's important to
take it easy. The examples here just one class and make, at most,
two or three objects from that class. Nevertheless, there are no
actual limitations. A Processing sketch can include as many
classes as you feel like writing.
If you were programming the Space Invaders game, for example, you
might create a Spaceship class, an Enemy class,
and a Bullet class, using an object for each entity in
your game.
In addition, although not primitive, classes are data types just
like integers and floats. And since classes are made up of data,
an object can therefore contain other objects! For example, let's
assume you had just finished programming a Fork and
Spoon class. Moving on to a PlaceSetting class,
you would likely include variables for both a Fork
object and a Spoon object inside that class itself. This
is perfectly reasonable and quite common in object-oriented
programming.
class PlaceSetting(object):
def __init__(self):
fork = Fork()
spoon = Spoon()
Objects, just like any data type, can also be passed in as
arguments to a function. In the Space Invaders game example, if
the spaceship shoots the bullet at the enemy, we would probably
want to write a function inside the Enemy class to determine if
the Enemy had been hit by the bullet.
def hit(self, bullet):
bulletX = bullet.getX()
bulletY = bullet.getY()
# Code to determine if
# the bullet struck the enemy
This tutorial is for Processing version 1.1+.
If you see any errors or have comments, please
let us know. This tutorial is from the book, Learning
Processing, by Daniel Shiffman, published by Morgan Kaufmann
Publishers, Copyright © 2008 Elsevier Inc. All rights
reserved.


new Member(name, chain)
HFC Member class mock wrapper
Parameters:
| Name | Type | Description |
|---|---|---|
name |
string | user name. |
chain |
string | HFC Chain object. |
- Source:
Methods
getChain() → {object}
Member chain object attribute getter
- Source:
Returns:
chain - The Member chain object attribute.
- Type
- object
getName() → {string}
Member name attribute getter
- Source:
Returns:
name - The Member name attribute.
- Type
- string
invoke(invokeRequest) → {object}
Transaction invocation on the Member's Chain object peer proxy.
Parameters:
| Name | Type | Description |
|---|---|---|
invokeRequest |
object | HFC TransactionRequest object |
- Source:
Returns:
req - HFC TransactionContext compatibility object
- Type
- object
query(queryRequest) → {object}
Performs a query on the Member's Chain object peer proxy.
Parameters:
| Name | Type | Description |
|---|---|---|
queryRequest |
object | HFC QueryRequest object |
- Source:
Returns:
req - HFC TransactionContext compatibility object
- Type
- object


%- include ../partials/scripts.html %>
<%- include ../partials/navbar.html %>{{service.minRange | currency}} - {{service.maxRange | currency}}
{{bidding.value | currency}}
{{bidding.explanation}}
{{bidding.counterValue | currency}}
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Last updated: May 04, 2016
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The final part of the file that needs to be handled by the template is the color table. We will put the whole thing in a STRUCT which will contain the number of entries plus a FOR (array) of STRUCTs for the entries themselves.
1. Double-click the root node of the tree again to edit it.
2. Select the bottom (blank) entry in the element list and Insert a "Struct..." and give it the name "col_table".
3. Insert a 16 bit integer DATA element, with name "num_cols" (ie type="integer", length="2").
4. There must be at least one entry in col_table so put "this > 0" in the domain field and click OK.
Now we add the array of entries. Each entry has a name and RGB value.
5. In the col_table STRUCT (below num_cols) insert a "For..." element, with name "col" and put "num_cols" in the count field.
6. In the FOR dialog click the "Insert" button and select "Struct..." from the list.
7. Add the following four data elements in the STRUCT.
|
NAME |
TYPE |
FORMAT |
LENGTH |
|
name |
string |
ASCII |
13 |
|
red |
integer |
unsigned |
1 |
|
green |
integer |
unsigned |
1 |
|
blue |
integer |
unsigned |
1 |
8. To show the color name in the STRUCT node, put "this.name" in the "Display" field.
Figure 1. Displaying the color name in the STRUCT tree node.
9. Click the OK button in each dialog until they are all closed.
You should now see the "col_table" struct in the tree window. If you expand it there should be eight entries in the example file.
Figure 2. color names in the tree.
Using JUMP
It would be useful to be able to use some of the information from col_table earlier in the processing of the graphical objects. For example, we could validate that each objects colid is valid (ie, in the range of valid indexes into col_table).
We can quite easily do this using a "JUMP" element. When a JUMP is encountered in the processing of a template the next byte from the file is taken from the address that was jumped to. When the JUMP element is exited the control passes back to the address before the JUMP was encountered. Jump addresses can be relative to the start of file, end of file, or current file address. An error occurs if the new address is outside the range of the files addresses - for example, a jump address relative to the end of file must always be a negative value since, by definition, there is nothing past the end.
You can use a JUMP with an address of zero relative to the current file position to look-ahead in the file. After the jump the current address is the same as before it.
We will now move the "col_table" before the "object" array and place it inside a JUMP.
10. Double-click the root to edit it and select "col_table [STRUCT]" in the element list.
11. Click the up arrow button twice to move it just below the "header [STRUCT]" element but above the "object [FOR]" element.
12. Click OK to return to the tree window.
13. Now right-click the "col_table" node in the tree and select "Enclose In/Jump...".
14. For the "Address" field click the right arrow button and select "header.col_table_address", the 4th item in the list.
15. For the "Relative To" field select "Start of file". Click OK.
Figure 3. Selecting the JUMP address.
In the tree view you should now see the same values in the "col_table" but it is nested under the JUMP node. The jump node shows the address that is jumped to (158 or 9E hex in this case).
Figure 4. color table nested in the JUMP.
Using a Fill Object
The JUMP element allowed us to process the col_table before the object list, but now after processing the object list we come to the col_table data again. There is no point in having 2 color tables so we will just add a fill DATA object to use them up.
16. Double-click the root node again and edit the last element in the list with name "none".
17. Leave a type of "none" and enter "sizeof(col_table)" for the length.
18. Delete the name "none" so that the element has no name and won't be displayed (except in edit mode).
19. Click OK to return to the STRUCT dialog, and click "Yes" to save the element without a name.
Note that we give a length for the element to make sure that the file is the right length. If we just left the length field empty then there could be any number of bytes after the color table and the template would not complain. Now if the file is too long we will get a warning message "Data past expected end of file".
Figure 5. The "fill" object.
20. Click OK twice to return to the tree window.
In the last part of the tutorial we will look at doing more validation using the color table as well as a few tests that the template handles badly formed files properly.


Larmor (ENDOR) frequency of nuclear spins.
freq = larmorfrq(Nucs,Fields)
larmorfrq
computes the Larmor frequencies (in MHz)
for the nuclear spins given in Nucs
at magnetic fields
(in mT) given in Fields
.
Nucs
is either a cell array of nuclear isotope symbols
or a character array with a comma-separated list of nuclear isotope symbols,
e.g., '14N'
or {'14N','1H'}
or '63Cu,65Cu'
.
Fields
is a vector of magnetic field values in mT,
e.g. 350
or [350 365 380]
or
1200:10:1300
.
freq
contains the Larmor (ENDOR, NMR) frequencies in MHz.
Each column contains the frequencies of one nucleus.
The ENDOR frequencies of the two naturally occurring nitrogen isotopes at a typical X-band magnetic field value are
larmorfrq('14N,15N',350)
ans = 1.0772 1.5110
The same result can be obtained by using a cell array instead of the comma separated list of isotopes
larmorfrq({'14N','15N'},350)
ans = 1.0772 1.5110
The ENDOR frequency of protons for a series of magnetic field values can be obtained with
larmorfrq('1H',350:10:400)
ans = 14.9021 15.3279 15.7537 16.1794 16.6052 17.0310
nucabund, nucdata, nucgval, nucqmom, nucspin


mobMess
Turn your screens into a collective display
Connect to:
{{address}}
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Try to settle with the claimant
{% else %}Contact {{ partyName( 'claimant' ) }} to arrange payment
{% endif %}You can try to settle out of court if you don't think you owe the full claim amount.
The judgment can be enforced until the claimant tells us you've settled. This means they can still ask the court to recover the money until then.
If you can't settle the claim, you can apply to cancel the judgment. It will be put on hold until a judge reviews it. You'll have to pay a fee of £255 and you might have to go to a hearing.
{% else %}Make sure you get receipts for any payments.
Get {{ partyName( 'claimant' ) }}'s contact details
{% if data['afterccjdeadline'] == 'true' %}The judgment can be enforced until the claimant tells us you've settled. This means they can still ask the court to recover the money until then.
The judgment will stay on the register but will be marked as satisfied when {{ partyName( 'claimant' ) }} confirms you've paid.
Apply to cancel the judgment
The court will usually only cancel a judgment if it accepts you didn't know about the claim at the time it was issued.
{% endif %} {% if data['lower-amount']=="true" %}


Version 1.2
- Backup/export & restore/import macro list in AutoHotKey & JSON formats
- Support for MultiAutoCompleteTextView boxes
- Option to disable macro expansion in password boxes
- Option to make macro expansion case insensitive
- In-app about/support/donation links
Version 1.1
- Removed the regular expression restriction from macros
- Update minimum SDK for ICS support (API Level: 14 and up)
Version 1.0


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Class HttpEndpoint
Simple Data model class to represent a http service.
Inheritance
System.Object
HttpEndpoint
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.ToString()
Namespace: System.Dynamic.ExpandoObject
Assembly: Sin.Net.Domain.dll
Syntax
public class HttpEndpoint
Constructors
HttpEndpoint()
The default constructor sets the method type to a GET-Method
Declaration
public HttpEndpoint()
Properties
Authentication
Gets or sets an optional authentication string or API key for requests.
Declaration
public string Authentication { get; set; }
Property Value
|
System.String
|
BaseAddress
Gets or sets the base address of the REST service
Declaration
public string BaseAddress { get; set; }
Property Value
|
System.String
|
MethodName
Gets or sets the name of the method. Allowed names are Get, Post, Put or Delete. Case sensitivity is ignored, because the property it will be used in lower case.
Declaration
public string MethodName { get; set; }
Property Value
|
System.String
|
Request
Gets or sets the request query
Declaration
public string Request { get; set; }
Property Value
|
System.String
|
Url
Gets the complete Url out of base address and request
Declaration
public string Url { get; }
Property Value
|
System.String
|
Methods
Method()
Returns the HttpMethod class based on the property MethodName
Declaration
public HttpMethod Method()
Returns
|
System.Net.Http.HttpMethod
It`s wheater Get, Post, Put or Delete |


bmqpi.txt @PURPOSE: Provide an interface for monitoring the health of the host. @MNEMONIC: BlazingMQ Public Interfaces (bmqpi) @DESCRIPTION: The 'bmqpi' package provides pure abstract interfaces, which are intended for clients to extend in their own applications and libraries. These extension points facilitate integration with other aspects of a runtime environment (e.g. authentication, host health-checking), which may vary significantly from organization to organization. /Hierarchical Synopsis /--------------------- The 'bmqpi' package currently has 1 component having 1 level of physical dependency. The list below shows the hierarchical ordering of the components. .. 1. bmqpi_hosthealthmonitor .. /Component Synopsis /------------------ : 'bmqpi_hosthealthmonitor': : Provide an interface for monitoring the health of the host.


with audio Start video Stop video Connect Hang Up
SDP to send:SDP to send
SDP to receive: Receive SDP


Warns About Use of Global Controllers Global Controllers are Deprecated in Angular 1.3.0
Angular controllers should not be globally registered. They should be registered on modules. For instance:
angular.module('myApp', []).controller(function() {});


{# List of publications, divided by years. The list of publications must have been reverse sorted by published date. #} {% set yr = None %} {% for publication in publications %} {% if publication['published'].split('-')[0] != yr %} {% set yr = publication['published'].split('-')[0] %}


Dr. Helvetica:
You have already completed this mission very well.
(This quest has been already completed.)


Class: Mesh
new Mesh(mesh)
Parameters:
| Name |
Type |
Description |
mesh |
THREE.Mesh
|
|
- Mixes In:
- Source:
Extends
Methods
-
ahead(delta)
-
Parameters:
| Name |
Type |
Description |
delta |
number
|
|
- Inherited From:
- Source:
-
elevate(delta)
-
Parameters:
| Name |
Type |
Description |
delta |
number
|
|
- Inherited From:
- Source:
-
rotatePitch(degree)
-
Parameters:
| Name |
Type |
Description |
degree |
number
|
|
- Inherited From:
- Source:
-
rotateRoll(degree)
-
Parameters:
| Name |
Type |
Description |
degree |
number
|
|
- Inherited From:
- Source:
-
rotateYaw(degree)
-
Parameters:
| Name |
Type |
Description |
degree |
number
|
|
- Inherited From:
- Source:
-
setGeometry(geometry)
-
Parameters:
| Name |
Type |
Description |
geometry |
THREE.Geometry
|
|
- Source:
Returns:
this
-
setMaterial(material)
-
Parameters:
| Name |
Type |
Description |
material |
THREE.Material
|
|
- Source:
Returns:
this
-
setPosition(x, y, z)
-
Parameters:
| Name |
Type |
Description |
x |
number
|
|
y |
number
|
|
z |
number
|
|
- Inherited From:
- Source:
-
setRotation(x, y, z)
-
Parameters:
| Name |
Type |
Description |
x |
number
|
|
y |
number
|
|
z |
number
|
|
- Inherited From:
- Source:
-
setRotationX(x)
-
Parameters:
| Name |
Type |
Description |
x |
number
|
|
- Inherited From:
- Source:
-
setRotationY(y)
-
Parameters:
| Name |
Type |
Description |
y |
number
|
|
- Inherited From:
- Source:
-
setRotationZ(z)
-
Parameters:
| Name |
Type |
Description |
z |
number
|
|
- Inherited From:
- Source:
-
setScale(x, yopt, zopt)
-
Parameters:
| Name |
Type |
Attributes |
Description |
x |
number
|
|
|
y |
number
|
<optional>
|
|
z |
number
|
<optional>
|
|
- Inherited From:
- Source:
-
sideStep(delta)
-
Parameters:
| Name |
Type |
Description |
delta |
number
|
|
- Inherited From:
- Source:


Ahmet Kemalettin or Kemaleddin (1870-July 13, 1927), widely known as Mimar Kemalettin (Kemalettin the Architect) and Kemalettin Bey, was a renowned Turkish architect of the very late period of the Ottoman architecture and the early years of the newly established Republic. He was among the pioneers of the first national architectural movement. His lifetime saw intense and important changes for Turkish history and culture.
Whilst still a student at the Hendese-i Mulkıye (State School of Engineering) where he commenced his studies in 1887 he received the Medal for Industry. He must have been hardworking and creative. These personal attributes may have been related to his greater interest in the lessons of Prof. Jasmund on architecture than in engineering and to the fact that Prof. Jasmund chose him as his assistant. Kemalettin shows himself to be a designer open to learning and experimentation and is also a portrayal of a self-reliant architect. However great an influence Jasmund and the German connections are on his perception of design, the wide scope of his references is also important. The Art Nouveau of Ratip Pasha Mansion, a building of the early era, or the connection of Harikzedegan Apartments with French public housing, the Orientalist flavour in the design of the Evkaf-ı Humayun Nezareti (Ministry of Imperial Foundations), the eclectic style of the 3rd Foundation Han or the Empire line of the Husnu Pasha Tomb cannot be ignored. A Kemaleddin work doubtless presents an image overflowing with ideological connections. Only here his creativity also feeds his ideology. The transformation of his ideology into a school of architecture is essentially down to his creative talent and self-confidence, if also fed by his industriousness and organisational expertise or teaching skill/teaching discipline. His life was already over when he ascertained the eventuality of this confidence being shaken. His architecture was a tale that prevented the hero from experiencing a tragic end, from an untimely death.
Eyüp Anadolu High School, Istanbul
Çapa Anadolu Teachers' High School, Istanbul
Şemsi Pasha Primary School
Çamlıca Girls' High School
Bostancı Mosque, Istanbul
Yeşilköy Mosque, Istanbul
Reşadiye School (today's Eyüp Middle School), Istanbul
Tomb of Sultan Reshad
Tomb of Gazi Osman Pasha
Tomb of Ali Rıza Pasha
Tomb of Hüsnü Pasha
Restoration of Fethiye Mosque and Sinan Pasha Madrasa
Bandırma Haydar Çavuş Mosque
Tomb of Ahmed Cevad Pasha, Istanbul (1901)
Plovdiv Central Station (1908)
Kamer Hatun Mosque, Beyoğlu, Istanbul (1911)
Bebek Mosque, Istanbul (1913)
Library of Istanbul University's Faculty of Letters (1913)
Restoration of Edirne Railway Station (1914)
Istanbul 1st Vakıf Han (1918)
Tayyare Apartments, Istanbul (1922)
Projecting of restoration work for Al-Aqsa Mosque, Jerusalem (1925)
Istanbul 4th Vakıf Han (1926)
Ankara 2nd Vakıf Han (Ankara Evkaf Apartment) died during its construction (1927)


---
layout: post
title: Building Z80 Emulator for CP/M on ESP8266 with a Raspberry Pi
date: '2017-04-27T16:34:00.000-07:00'
author: gojimmypi
tags:
- Z80
- ESP8266
- Build_ESP8266
- hackaday
- CP/M
modified_time: '2017-04-27T16:34:01.602-07:00'
thumbnail: https://2.bp.blogspot.com/-Z6hjShTbI8w/WQJ-ECZCTwI/AAAAAAAAAUg/WEI4GX6TMDsVGLtyXBjWVc-K-AsrF2GtwCLcB/s72-c/CPM.PNG
blogger_id: tag:blogger.com,1999:blog-4109066286647243251.post-4437769150254824952
blogger_orig_url: https://gojimmypi.blogspot.com/2017/04/building-z80-emulator-for-cpm-on.html
---
Last month I saw an intriguing article on creating a Z80 CP/M Emulator on my favorite device - the ESP8266 on hackaday.io.
https://hackaday.io/project/20552-cpm-8266
My first real computer was a dual processor 6502 / Z80. That was a bit of a misnomer, as one could not actually use both them at the same time. This was a "Basis 108" Apple II compatible from West Germany: A behemoth of a computer in an awesome cast aluminum case. Essentially the "second" processor was the Z80 add-on board but built-in to the motherboard. The thoughts of revisiting my old friend CP/M was too hard to resist.
I used my existing Build-ESP8266 project on a Raspberry Pi, originally created to ease compiling of MicroPython:
https://github.com/gojimmypi/build_esp8266
As this script downloads and recompiles everything needed for the ESP8266 toolchain, it was a simple matter to adapt for this Z80 CP/M project.
I only needed to adjust one value in the ./cpm8266/code/Makefile
-FLASHBAUD = 921600
+FLASHBAUD = 115200
The speed of 921600 was just too crazy, giving an error at upload time:
Makefile:180: recipe for target 'flashinit'
failed
make: *** [flashinit] Error 2
So adjusting down to 115200 solved that problem.
I also had the ESP8266 toolchain installed in slightly different locations. Fortunately everything was parameterized in environment variables. So when using my Build_ESP8266 script the values are:
export
ESP8266SDK=/opt/esp-open-sdk/
export
ESPPORT=/dev/ttyUSB0
export
ESPTOOL=/opt/esp-open-sdk/esptool/esptool.py
I added these items to my
doPathLink.sh
(be sure to run with source command):
source ./doPathLink.sh
From their instructions, I only needed add a few additional items not covered in my Build_esp8266.sh script:
Install prerequisites for cpm8266
{% include code_header.html %}
apt-get install z80asm cpmtools zip vim-common


| Test Suite |
| Login |
| Verify screen config |
| Select "test" module |
| Test criteria |
| Test criteria reset |
| Test buttons |
| Test normal grid |
| Test multiselect grid |
| Test editable grid |
| Test multioption grid |
| Test tree grid |
| Test editable tree grid |
| Test loading tree grid |
| Test multioption loading tree grid |
| Test having grid |
| Test charts |
| Test wizard |
| Test SQL extractor engine |
| Test queues |
| Logout |


I18N
The i18n API allows setting translations globally for the components and integration with translation libraries.
PrimeNGConfig
A translation is applied using the PrimeNGConfig instance so begin with injecting it. A common location is the application root to initalize the default language used by the components.
English is the default language and setTranslation function is used to change the values by passing a Translation object.
import { Component, OnInit, OnDestroy } from '@angular/core';
import { PrimeNGConfig } from 'primeng/api';
@Component({
selector: 'app-root',
templateUrl: './app.component.html'
})
export class AppComponent implements OnInit, OnDestroy {
constructor(private config: PrimeNGConfig) {}
ngOnInit() {
this.config.setTranslation({
accept: 'Accept',
reject: 'Cancel',
//translations
});
}
}
ngx-translate
i18n API can easily be integrated with 3rd party libraries such as ngx-translate that even allows
dynamically changing the language in the application.
en.json
{
"primeng": {
"startsWith": "Starts with",
"contains": "Contains",
"notContains": "Not contains",
"endsWith": "Ends with",
"equals": "Equals",
"notEquals": "Not equals",
"noFilter": "No Filter",
"lt": "Less than",
"lte": "Less than or equal to",
"gt": "Greater than",
"gte": "Greater than or equal to",
"is": "Is",
"isNot": "Is not",
"before": "Before",
"after": "After",
"dateIs": "Date is",
"dateIsNot": "Date is not",
"dateBefore": "Date is before",
"dateAfter": "Date is after",
"clear": "Clear",
"apply": "Apply",
"matchAll": "Match All",
"matchAny": "Match Any",
"addRule": "Add Rule",
"removeRule": "Remove Rule",
"accept": "Yes",
"reject": "No",
"choose": "Choose",
"upload": "Upload",
"cancel": "Cancel",
"dayNames": ["Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday"],
"dayNamesShort": ["Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"],
"dayNamesMin": ["Su","Mo","Tu","We","Th","Fr","Sa"],
"monthNames": ["January","February","March","April","May","June","July","August","September","October","November","December"],
"monthNamesShort": ["Jan", "Feb", "Mar", "Apr", "May", "Jun","Jul", "Aug", "Sep", "Oct", "Nov", "Dec"],
"dateFormat": "mm/dd/yy",
"today": "Today",
"weekHeader": "Wk",
"weak": 'Weak',
"medium": 'Medium',
"strong": 'Strong',
"passwordPrompt": 'Enter a password',
"emptyMessage": 'No results found',
"emptyFilterMessage": 'No results found'
}
}
import { Component, OnInit, OnDestroy } from '@angular/core';
import { PrimeNGConfig } from 'primeng/api';
import { TranslateService } from '@ngx-translate/core';
@Component({
selector: 'app-root',
templateUrl: './app.component.html'
})
export class AppComponent implements OnInit, OnDestroy {
constructor(private config: PrimeNGConfig, private translateService: TranslateService) {}
ngOnInit() {
this.translateService.setDefaultLang('en');
}
translate(lang: string) {
this.translateService.use(lang);
this.translateService.get('primeng').subscribe(res => this.config.setTranslation(res));
}
}
Translation
Translation API consists of various values used throughout the component library.
| Key |
Value |
| startsWith |
Starts with |
| contains |
Contains |
| notContains |
Not contains |
| endsWith |
Ends with |
| equals |
Equals |
| notEquals |
Not equals |
| noFilter |
No Filter |
| lt |
Less than |
| lte |
Less than or equal to |
| gt |
Greater than |
| gte |
Greater than or equal to |
| is |
Is |
| isNot |
Is not |
| before |
Before |
| after |
After |
| dateIs |
Date is |
| dateIsNot |
Date is not |
| dateBefore |
Date is before |
| dateAfter |
Date is after |
| clear |
Clear |
| apply |
Apply |
| matchAll |
Match All |
| matchAny |
Match Any |
| addRule |
Add Rule |
| removeRule |
Remove Rule |
| accept |
Yes |
| reject |
No |
| choose |
Choose |
| upload |
Upload |
| cancel |
Cancel |
| dayNames |
["Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday"] |
| dayNamesShort |
["Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"] |
| dayNamesMin |
["Su","Mo","Tu","We","Th","Fr","Sa"] |
| monthNames |
["January","February","March","April","May","June","July","August","September","October","November","December"] |
| monthNamesShort |
["Jan", "Feb", "Mar", "Apr", "May", "Jun","Jul", "Aug", "Sep", "Oct", "Nov", "Dec"] |
| dateFormat |
mm/dd/yy |
| today |
Today |
| weekHeader |
Wk |
| weak |
Weak |
| medium |
Medium |
| strong |
Strong |
| passwordPrompt |
Enter a password |
| emptyMessage |
No results found |
| emptyFilterMessage |
No results found |


4×4 club follows the Ossewa trail
The Lowveld 4×4 Club had their monthly run to the Ossewa trail. This is near Low’s Creek, on the way to Malalane. This particular route is a must for the serious 4×4 enthusiast.
by AutodealerIt is rated as a grade 4 in winter and as high as a grade 5 in summer, due to rain and slippery mud surfaces.
Percy FitzPatrick was one of many in the 1800s who brought supplies up from Delagoa Bay (now Maputo) to Barberton using this route.
Each wagon had a team of 12 to 16 oxen and because of the heat during the day, they travelled in two four-hour shifts. The first before sunrise, and the next after sunset.
They seldom managed more than 20 miles a day. The wheels of the wagons were locked, forcing the oxen to drag the wagons across the rocks. There is still evidence today of the wheel ruts in the rock.
ALSO READ: Lowveld 4×4 Club rumbles on
The route consists of mainly rock crawling, with steps in some places being a metre high. The panorama and views are breathtaking as you ascend higher and higher.
Participating on this trip were a range of different vehicles, including a Gelandewagon, Jeep 4J, Toyota bakkies, a Mazda Drifter, Nissan Patrol, and even a Suzuki Jimny.
The experienced run and route planner, Herman, took the lead on the day.
All vehicles made it safely up and back down thanks to the extensive 4×4 experience within the group.
It is a tough route and at times, even had the experienced drivers under pressure. Going up was challenging, but coming down had its own surprises, again forcing drivers to choose their lines carefully.
The Lowveld 4×4 Club will be having its final meeting of the year on November 20 at 18:00.
ALSO READ: Ironman 4×4 SA Hilux Day
Enquiries: Renier on<PHONE_NUMBER> or Wayne on<PHONE_NUMBER>.


--- layout: post title: 'Kopete hacking session #1' categories: - KDE - Software Libre tags: [] status: publish type: post published: true meta: _edit_last: '2' enclosure: "http://cdn.afiestas.org/wp-content/uploads/2009/09/kopeteAvatar.ogv\r\n4134597\r\nvideo/ogg\r\n" openid_comments: a:2:{i:0;s:2:"35";i:1;s:2:"37";} dsq_thread_id: '2150403845' author: login: afiestas email<EMAIL_ADDRESS>display_name: afiestas first_name: Àlex last_name: Fiestas ---
Hi everybody!
Two days ago at morning, I was very bored I don't remember exactly why, so I decided to hack a bit on Kopete, which is imho the KDE application which needs more love. I was wondering what I can add to it and after a few ideas I decided to implement the idea apol gave to me some days ago, be able to take pictures from the webcam, and set it as an avatar.
Well, this is the result after 1 hour of work (It was only 1h mainly because of kdevelop, it rocks!):
You can download the video from here
The first patch to implement it is waiting for review at: http://reviewboard.kde.org/r/1532/ Once it has been accepted I'll submit the big one. I'm open for more ideas like that,I've no time to implement big features in software that I'm not completely involved with, but I can do things like this.
I hope you like it and please, drop a comment or send me an email if you have more small ideas!


Wonder how it would be like to know people who GET you?
Try Utonexus and Discover people compatible with your Personality type
You will also learn a lot about yourself with our free personality test
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I'm Q10Viking(黄壮壮), a programmer,guitarist &student currently studying at China Agriculture University.
If you want to get in touch with me,email is best.
Email to<EMAIL_ADDRESS>ZHIHU CAU Github


{% extends 'main/base.html' %} {% load staticfiles %} {% block head_title %} Welcome | {{block.super}} {% endblock %} {% block jumbotron %}
Oops, something went wrong, we could not find that page... If you think it's our fault, please let us know.
Here's a link to our homepage.


Versions includes its own copies of Subversion 1.4 through 1.8 and does not require that Subversion be separately installed, though Xcode 5 includes Subversion 1.7.9 by default.
If you want to use a different command line version of Subversion or want to install a newer version than what is included with Xcode, you can find installers for various SVN releases here.
For more information about what it means to use a certain release of Subversion, see this page.


Handle genomic data within data frames just as you would with 'GRanges'. This packages provides method to deal with genomic intervals the "tidy-way" which makes it simpler to integrate in the the general data munging process. The API is inspired by the popular 'bedtools' and the genome_join() method from the 'fuzzyjoin' package.
| Version: | 0.1.0 |
| Imports: | dplyr, purrr, tidyr, fuzzyjoin (≥ 0.1.3), IRanges, Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2017-06-25 |
| Author: | Constantin Ahlmann-Eltze [aut, cre], Stan Developers [cph] (Code from the Stan Math library is reused in 'cluster_interval.cpp'), David Robinson [cph] (Code from the fuzzyjoin package is reused) |
| Maintainer: | Constantin Ahlmann-Eltze <artjom31415 at googlemail.com> |
| License: | GPL-3 |
| URL: | https://github.com/const-ae/tidygenomics |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | tidygenomics results |
| Reference manual: | tidygenomics.pdf |
| Vignettes: |
Tidy Genomics |
| Package source: | tidygenomics_0.1.0.tar.gz |
| Windows binaries: | r-devel: tidygenomics_0.1.0.zip, r-release: tidygenomics_0.1.0.zip, r-oldrel: tidygenomics_0.1.0.zip |
| OS X binaries: | r-release: tidygenomics_0.1.0.tgz, r-oldrel: tidygenomics_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=tidygenomics to link to this page.


1.Write a script that creates a number of div elements. Click to view
2.Write a script that creates 5 div elements and moves them in circular path with interval of 100 milliseconds. Click to view
3.Create a text area and two inputs with type="color". Click to view


Event Location:
Microsoft PT
Rua do Fogo de Santelmo, Lote 2.07.02
lisbon, Lisbon, Portugal
Abstract:
There are several pretty cool enhancements regarding security in SQL Server 2016. This session will cover some of them in the following (new) topics: - Always Encrypted: Worried about having your sensitive data stored in a cloud managed database? This feature can help you, allowing to ensure that your cloud provider can't look at your sensitive data, since it remains encrypted for him, but not for you :-) - Dynamic Data Masking: By using this feature you can control how does your confidential data appear to those that shouldn't have entire access to it. For instance they should only be able to see the first 3 digits of a phone number... - Row Level Security: Row-Level Security enables us to control access to rows in a database table based on the characteristics of the user executing a query. Join me in a set of full demonstrations for all these features!
Speaker(s): Etienne Lopes,
Abstract:
Quando temos necessidade de efetuar transa#231;#245;es #224; velocidade da luz, esta vai ser sem d#250;vida a tecnologia que vai pensar usar. Tecnologia nascida na vers#227;o anterior (SQL Server 2014) e melhorada na vers#227;o 2016, In -Memory OLTP #233; sem d#250;vida uma grande aposta por parte da Microsoft para solucionar este tipo de exig#234;ncias do atual mercado das TI. Nesta sess#227;o vou explicar de uma forma clara o que consiste este novo componente do SGBD da Microsoft como come#231;ar a utilizar, limita#231;#245;es e alguns truques para resolver algumas das limita#231;#245;es.
Speaker(s): Ivan Campos,
Abstract:
O Query Store #233; uma nova funcionalidade que ser#225; lan#231;ada com o SQL Server 2016 que permitir#225; armazenar o hist#243;rico de planos de execu#231;#227;o de cada consulta juntamente com os contadores de desempenho. Ser#225; poss#237;vel de uma maneira mais f#225;cil corrigir alguns problemas de desempenho sobre as altera#231;#245;es que ocorrem nos planos de execu#231;#227;o. Junta-te a mim nesta sess#227;o, para obter mais informa#231;#227;o e falar sobre esta nova funcionalidade, que vai mudar a maneira de podermos corrigir e solucionar problemas de desempenho.
Speaker(s): Andre Batista,
Abstract:
Born out of the internal Big Data language called SCOPE, U-SQL is the language of the new generation that combines the powers of SQL and the extensibility of the C#. Capable of working with Azure Data Lake Storage, Azure Blob Storage, Azure SQL DB Azure SQL DW and Azure VMs with SQL Server, U-SQL is the language of choice if you are looking for querying and combining data from variety of data sources. Let us discover what is exactly U-SQL Azure Data Lake Analytics are and how they can be of big help for your projects.
Speaker(s): Niko Neugebauer,
Abstract:
Depois de ter partilhado as vantagens e desvantagens do Power View no passado m#234;s de maio de 2015 no SQL Saturdays, desta vez proponho a apresentar dois casos reais na #225;rea de jogo e retalho para avaliarem se de facto o Power BI #233; agora funcional e ultrapassa todas as limita#231;#245;es do Power View. Estar#225; o Power BI preparado para casos reais? Venha descobrir...
Speaker(s): Pedro Perfeito,
Abstract:
Vamos apresentar algumas das boas praticas e a nossa experiencia com m#225;quinas virtuais Azure com SQL Server
Speaker(s): Pedro Simoes,
Abstract:
Find out what Reporting Services may improve even more your Reporting skills. How to pin items to Power BI, new HTML 5 Renderind, PowerPoint Export Rendering, the custom Parameters Pane, are only some of the new cool stuff that you could find in the new version of Reporting Services. This and a lot more is waiting for you... Come and see for yourself.
Speaker(s): Artur Santos,
Abstract:
Are you a developer? Want to learn what PowerBI has for you? Then come to my session where you will learn how to enhance your applications with PowerBI experiences... In this talk I will show you an overview of the developer ecosystem in Power BI and share my experiences in the creation of Power BI Office Apps (Power BI Tiles and Send to PowerBI) and the community PowerShell module PowerBIPS.
Speaker(s): Rui Romano,
Abstract:
SSISDB catalog #183; Deployment #183; Debugging #183; Azure #183; Etc.
Speaker(s): Quilson Antunes,
Abstract:
O SQL Server 2016 est#225; proximo de ser lan#231;ado, e muitas novidades est#227;o a caminho. O Availability Groups nao #233; exce#231;#227;o! Saiba nesta sess#227;o tudo sobre a solucao numero 1 de HADR do SQL Server.
Speaker(s): Murilo Miranda,
Abstract:
R represents the primary analysis language for the majority of data scientists and statisticians. SQL Server 2016 will allow you to run R scripts. In this session we will demonstrate how to run R analytics in the database so any user can explore the data, build predictive models and embed the R code into Transact-SQL stored procedures.
Speaker(s): Bruno Ferreira,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: http://pt.linkedin.com/in/webcaravela/
Contact: http://www.nikoport.com
Niko Neugebauer is a Data Platform Consultant. A SQL Server MVP with over 20 years of experience in IT, he is passionate about the Microsoft Data Platform and community. Founder of the Portuguese SQL Server User Group and the main organizer of the first SQLSaturday event outside of North America (#78 Portugal), Niko speaks regularly at events such as PASS Summit, SQLRally, SQLBits, and SQLSaturday events around the world. Niko loves sharing information and knowledge and has authored over 130 blog posts on Columnstore Indexes, and regularly contributes to the open-sourced CISL library focused on Columnstore Indexes.
LinkedIn: https://pt.linkedin.com/in/bruno-mairos-ferreira-6861bbab
Bruno Ferreira lives in Porto, Portugal and currently works in Data Research and Machine Learning at DevScope. His main focus areas are Machine Learning, Azure ML Studio, R and Power BI.
LinkedIn: http://LinkedIn.COM/in/AndreMelancia
Contact: http://Andy.PT
Owner / Principal Consultant at LunarCat.PT Microsoft Certified Trainer (MCT) focusing on SQL Server, Azure, IoT and Security. 19+ years' fun developing information and multimedia systems, DBA, project and IT management. Data Community Portugal, IT Pro Portugal and PowerShell Portugal communities organiser. IPv6 Portugal, DNSSec Portugal and Windows Development Portugal online communities moderator. Actively volunteering, organising, speaking or just participating at community meetings and events around the world. Proud uncle and food devouring expert, with dangerous рuϧϧy cat as companion. Go to http://Andy.PT and you'll know the same as the NSA...
LinkedIn: https://pt.linkedin.com/in/quilson
Quilson Antunes #233; DBA na hmR - Health Market Research, licenciado em Inform#225;tica de Gest#227;o pelo SLA Campus Lisboa - Laureate International Universities. No decurso do seu percurso profissional adquiriu experi#234;ncia na coordena#231;#227;o de recursos e compet#234;ncias em infra-estrutura e desenvolvimento de processos ETL. Cumulativamente possui s#243;lidos conhecimentos em administra#231;#227;o, desenho e desenvolvimento de bases de dados em SQL server desde a vers#227;o 7
LinkedIn: http://pt.linkedin.com/pub/andre-batista/9/111/790/
Contact: http://klunkysql.info/
Andre Batista, with academic path in the course of Electronics, Telecommunications and Computers ( ISEL - Lisbon ) is currently in Crossjoin Solutions working as SQL Server DBA, performing functions on the client PT (Portugal Telecom). He is interested in all areas related to SQL Server and particularly in architecture, implementation, maintenance and performance. He is a member of the Portuguese SQL Server User Group, SQLPort (http://www.sqlport.com) and also one of the founders of TUGA.
LinkedIn: http://pt.linkedin.com/in/murilomiranda/
Murilo Miranda is a blogger, speaker and SQL Server MVP from Portugal. Nowadays he#39;s a Cloud Operations Engineer at DataStax. Murilo’s passion for working with people coupled with his honesty have helped him establish effective, meaningful relationships with his clients. When he isn’t working, he can be found enjoying life with his family, watching football and playing Playstation.
LinkedIn: ?https://pt.linkedin.com/in/arturlrvsantos?
Over 15 years of experience with SQL Server, since 6.5. Author of several Workshops on SQL Server and SharePoint. Passioned with technology, and also as speaker in several events.
LinkedIn: http://pt.linkedin.com/pub/andre-batista/9/111/790/
Contact: http://klunkysql.info/
Andre Batista, with academic path in the course of Electronics, Telecommunications and Computers ( ISEL - Lisbon ) is currently in Crossjoin Solutions working as SQL Server DBA, performing functions on the client PT (Portugal Telecom). He is interested in all areas related to SQL Server and particularly in architecture, implementation, maintenance and performance. He is a member of the Portuguese SQL Server User Group, SQLPort (http://www.sqlport.com) and also one of the founders of TUGA.
LinkedIn: http://pt.linkedin.com/pub/andre-batista/9/111/790/
Contact: http://klunkysql.info/
Andre Batista, with academic path in the course of Electronics, Telecommunications and Computers ( ISEL - Lisbon ) is currently in Crossjoin Solutions working as SQL Server DBA, performing functions on the client PT (Portugal Telecom). He is interested in all areas related to SQL Server and particularly in architecture, implementation, maintenance and performance. He is a member of the Portuguese SQL Server User Group, SQLPort (http://www.sqlport.com) and also one of the founders of TUGA.
LinkedIn: http://pt.linkedin.com/pub/andre-batista/9/111/790/
Contact: http://klunkysql.info/
Andre Batista, with academic path in the course of Electronics, Telecommunications and Computers ( ISEL - Lisbon ) is currently in Crossjoin Solutions working as SQL Server DBA, performing functions on the client PT (Portugal Telecom). He is interested in all areas related to SQL Server and particularly in architecture, implementation, maintenance and performance. He is a member of the Portuguese SQL Server User Group, SQLPort (http://www.sqlport.com) and also one of the founders of TUGA.
LinkedIn: https://www.linkedin.com/in/joaolopes
Jo#227;o Lopes is a SQL Server MCP working as BI Consultant with over 10 years of experience, currently a member of the consulting team at BI4ALL delivering data solutions to global clients using Microsoft BI tools.
LinkedIn: https://pt.linkedin.com/in/tiagocosta
Contact: http://www.tiagocosta.eu/
Tiago Costa is an IT Consultant in Microsoft Technologies. For the past years he has been architecting and developing solutions for clients using Azure, Office 365, SharePoint, .Net and SQL Server. He has a strong real world experience and regularly teaches Azure, Office 365, SharePoint, .Net and SQL Server classes across Europe and other worldwide locations. Tiago detains several Microsoft Certifications and he is also MCT – Microsoft Certified Trainer. In 2013 he was nominated MCT Regional Lead by Microsoft Corp and has been renewed every year including in Jan, 2017 for a more 2 years term (2017 - 2018). In 2016 he has been awarded with the Microsoft MVP Award in Office Server and Services for his community efforts.
LinkedIn: https://pt.linkedin.com/in/idcampos
Contact: http://wizarddba.com/
Ivan Campos is currently a database administrator in 3C Payment a fin-tech in Luxembourg. (3CPayment.com). He is Microsoft Most Valuable Professional, active speaker at local community meetings in Portugal and outside Portugal. He is the leader and one of the founders of the community based in the north of Portugal Porto.Data (www.portodata.net) and the organizer of SQLSaturday in Porto Portugal.
Contact: http://www.culto-de-bi.pt
Pedro was born in 1977 in Portugal and currently works as BI Senior Consultant and Invited Lecture in several BI master degrees. He’s also founder and owner of a BI company named “Culto de BI”. He received in 2010, 2011 and 2012 the Microsoft MVP award for all the dedication and contribution helping theoretical and practical issues in the various BI communities. He#39;s also co-author and editor of several books from Packtpub and Syncfusion
LinkedIn: https://pt.linkedin.com/in/jesuspiairo
Contact: http://www.eduardopiairo.com/
Deployment pipeline craftsman always ready to learn new ways to implement Source Control, Continuous Integration and Continuous Delivery for databases, applications and infrastructure. Database administrator with special interest in database changes and data modeling. Operations engineer, DevOps Agent with automation, collaboration and communication as priorities.
LinkedIn: https://pt.linkedin.com/in/helenacabralatbi4all
Contact: http://blog.bi4all.pt/
Helena Cabral is a BI Senior Consultant at bi4all with over 10 years of experience. Her main activities are related to designing, implementing and maintaining BI solutions based on Microsoft BI-stack for Banking, Insurances and Public Administration areas. Prior to working in BI, she had worked in database modeling and design, application development and data integration services development with several technologies.
Contact: https://sqland.wordpress.com
Etienne Lopes currently works as a SQL Server DBA at Celfinet. Working with SQL Server since 1997, member of sqlport community (www.sqlport.com), regular speaker since 2012 at SQL Server events such as: SQL Saturday and 24 Hours of Pass. Blog: http://sqland.wordpress.com/
LinkedIn: https://pt.linkedin.com/in/claudioessilva
Contact: http://claudioessilva.eu
Cláudio works as SQL Server DBA and he is an former PowerShell MVP who loves to automate any process that needs to be done more than a couple of times. He is an active member on the PowerShell and SQL communities. He contributes to dbatools project (https://dbatools.io) and is always available to help. You can find him on slack and twitter platforms. He also helps on some Portuguese in-person events such as SQLSaturday Lisbon and TugaIT. He is also a regular speaker on these and other events.
LinkedIn: https://pt.linkedin.com/in/ruiromano
Contact: http://ruiromanoblog.wordpress.com/
Rui Romano lives in Portugal and he leads the Business Intelligence team at DevScope. He has been Developing amp; Architecting software solutions since 2003 always focused in the Business Intelligence area.
LinkedIn: http://www.linkedin.com/in/pedromsimoes
Contact: http://pedromsimoes.wordpress.com
Works in Glintt - Global Intelligent Technologies (http://www.glintt.com) as a systems administrator and DBA in some specific situations; has about 20 years experience and has some certifications which can highlight the following: MCP, MCSA 2003 MCDBA, MCSE 2003, MCTS, MCITP (Windows 2008 + SQL2008). It is one of the oldest and most active members of the Portuguese community SQLPORT.com
LinkedIn: https://www.linkedin.com/in/vitorfariatomaz/
Vitor Faria Tomaz is an Embedded Escalation Engineer (EEE) at Microsoft, with special focus on Azure SQL Database (single/pools/Managed Instance).
The following is a list of sponsors that helped fund the event.
Rumos - Formação e Comunicação, S. A.


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Man stabbed to death in attack on San Francisco-area BART train
by Brie StimsonA man was stabbed to death after a fight broke out on a San Francisco-area commuter train Tuesday afternoon.
Interim BART Police Chief Ed Alvarez said there was no danger to passengers because it “was a fight involving two individuals that engaged each other.”
SUSPECT IN BART FATAL STABBING DESERVES DEATH PENALTY, PAST VICTIM SAYS
He said transit officers entered the train at the next stop in Hayward, Calif., about 16 miles south of Oakland, after several 911 calls came in and found the victim bleeding. He later died of his injuries.
"Our thoughts are with the deceased and his loved ones," BART said in a statement on Twitter.
Officers arrested the suspect after searching the area.
The station was closed for several hours while officers investigated, BART said.
In July 2018, an 18-year-old woman and her sister were stabbed in an unprovoked attack by a felon on parole at an Oakland BART station.
Nia Wilson, 18, died in the attack.
Wilson’s family has blamed BART for failing to keep the trains safe for riders.
CLICK HERE TO GET THE FOX NEWS APP
A BART spokesperson said it priories safety.
The Associated Press contributed to this report.


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|
intprim
|
The KalmanFilter class localizes an interaction in space via the extended Kalman filter. More...
Public Member Functions | |
| def | __init__ (self, basis_model, mean_basis_weights, cov_basis_weights, align_func=align.dtw.fastdtw, iterative_alignment=False, num_align_samples=100, cyclical=False) |
| The initialization method for the ExtendedKalmanFilter. More... | |
| def | align_observations (self, observed_trajectory, active_dofs) |
| Perform time alignment on the given observations. More... | |
| def | localize (self, measurement, measurement_noise, active_dofs, return_phase_variance=False) |
| This method performs localization of space (basis weights). More... | |
| def | __init__ (self, basis_model, mean_basis_weights, cov_basis_weights, align_func=align.dtw.fastdtw, iterative_alignment=False, num_align_samples=100, cyclical=False) |
| The initialization method for the ExtendedKalmanFilter. More... | |
| def | align_observations (self, observed_trajectory, active_dofs) |
| Perform time alignment on the given observations. More... | |
| def | localize (self, measurement, measurement_noise, active_dofs, return_phase_variance=False) |
| This method performs localization of space (basis weights). More... | |
| Public Member Functions inherited from intprim.filter.linear_system.LinearSystem | |
| def | __init__ (self, basis_model) |
| Initialization method for LinearSystem. More... | |
| def | get_transition_model (self) |
| Gets the transition model for spatial filtering. More... | |
| def | get_process_noise (self) |
| Gets the process noise for spatial filtering. More... | |
| def | get_measurement_model (self, x) |
| Gets the measurement model for spatial filtering. More... | |
| def | __init__ (self, basis_model) |
| Initialization method for LinearSystem. More... | |
| def | get_transition_model (self) |
| Gets the transition model for spatial filtering. More... | |
| def | get_process_noise (self) |
| Gets the process noise for spatial filtering. More... | |
| def | get_measurement_model (self, x) |
| Gets the measurement model for spatial filtering. More... | |
Public Attributes | |
| iterative_alignment | |
| state_mean | |
| state_cov | |
| identity_cov | |
| last_phase_estimate | |
| align_func | |
| num_align_samples | |
| align_trajectory | |
| previous_observations | |
| Public Attributes inherited from intprim.filter.linear_system.LinearSystem | |
| basis_model | |
| state_dimension | |
| measurement_dimension | |
| process_noise | |
| transition_model | |
| measurement_model_prototype | |
The KalmanFilter class localizes an interaction in space via the extended Kalman filter.
Temporal localization is accomplished explicitly with an external time-alignment algorithm such as Dynamic Time Warping. This class is a recursive filter, meaning it maintains state information between successive calls to localize(). As a spatial filter, the KalmanFilter's internal state consists of only B dimensions modeling the latent space of the interaction. This class corresponds to a standard Probabilistic Movement Primitive.
References:
Campbell, J., Stepputtis, S., & Ben Amor, H. (2019). Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks.
Campbell, J., & Amor, H. B. (2017). Bayesian interaction primitives: A slam approach to human-robot interaction. In Conference on Robot Learning (pp. 379-387).
| def intprim.filter.kf.KalmanFilter.__init__ | ( | self, | |
| basis_model, | |||
| mean_basis_weights, | |||
| cov_basis_weights, | |||
align_func = align.dtw.fastdtw , |
|||
iterative_alignment = False , |
|||
num_align_samples = 100 , |
|||
cyclical = False |
|||
| ) |
The initialization method for the ExtendedKalmanFilter.
Responsible for initializing the state.
| basis_model | The basis model corresponding to this state space. |
| mean_basis_weights | Vector of dimension D containing the initial state for the basis weights. |
| cov_basis_weights | Matrix of dimension D x D containing the initial covariance matrix for the basis weights. |
| align_func | The time alignment algorithm to use. |
| iterative_alignment | True to start alignment from the currently estimated phase, False to perform alignment over the entire trajectory every time. |
| num_align_samples | The number of samples to use when aligning trajectories. |
| cyclical | Indicates whether this is a cyclical primitive. If True, the internal phase state will cycle back to 0 once it exceeds 1, allowing for continuous inference of periodic interactions. |
| def intprim.filter.kf.KalmanFilter.__init__ | ( | self, | |
| basis_model, | |||
| mean_basis_weights, | |||
| cov_basis_weights, | |||
align_func = align.dtw.fastdtw , |
|||
iterative_alignment = False , |
|||
num_align_samples = 100 , |
|||
cyclical = False |
|||
| ) |
The initialization method for the ExtendedKalmanFilter.
Responsible for initializing the state.
| basis_model | The basis model corresponding to this state space. |
| mean_basis_weights | Vector of dimension D containing the initial state for the basis weights. |
| cov_basis_weights | Matrix of dimension D x D containing the initial covariance matrix for the basis weights. |
| align_func | The time alignment algorithm to use. |
| iterative_alignment | True to start alignment from the currently estimated phase, False to perform alignment over the entire trajectory every time. |
| num_align_samples | The number of samples to use when aligning trajectories. |
| cyclical | Indicates whether this is a cyclical primitive. If True, the internal phase state will cycle back to 0 once it exceeds 1, allowing for continuous inference of periodic interactions. |
| def intprim.filter.kf.KalmanFilter.align_observations | ( | self, | |
| observed_trajectory, | |||
| active_dofs | |||
| ) |
Perform time alignment on the given observations.
This will call the given time alignment function and attempt to temporally align the observations to the trajectory given by the currently estimated state. If the iterative_alignment flag is True, then time alignment will only be performed from the currently estimated phase to the end of the trajectory. While this is more computationally efficient, it causes errors to be accumulated and thus is not always a good choice. If the iterative_alignment flag is False, then time alignment will always occur from 0 phase. By default, the flag is False.
| observed_trajectory | Matrix of dimension T x D containing observations, where T is the number of timesteps that have been observed since the last call to localize() and D is the dimension of the measurement space. |
| active_dofs | Vector of dimension \( D_o \) containing measurement space indices of the observed degrees of freedom. Note that the measurements will also contain unobserved degrees of freedom, but their values should not be used for inference. |
| def intprim.filter.kf.KalmanFilter.align_observations | ( | self, | |
| observed_trajectory, | |||
| active_dofs | |||
| ) |
Perform time alignment on the given observations.
This will call the given time alignment function and attempt to temporally align the observations to the trajectory given by the currently estimated state. If the iterative_alignment flag is True, then time alignment will only be performed from the currently estimated phase to the end of the trajectory. While this is more computationally efficient, it causes errors to be accumulated and thus is not always a good choice. If the iterative_alignment flag is False, then time alignment will always occur from 0 phase. By default, the flag is False.
| observed_trajectory | Matrix of dimension T x D containing observations, where T is the number of timesteps that have been observed since the last call to localize() and D is the dimension of the measurement space. |
| active_dofs | Vector of dimension \( D_o \) containing measurement space indices of the observed degrees of freedom. Note that the measurements will also contain unobserved degrees of freedom, but their values should not be used for inference. |
| def intprim.filter.kf.KalmanFilter.localize | ( | self, | |
| measurement, | |||
| measurement_noise, | |||
| active_dofs, | |||
return_phase_variance = False |
|||
| ) |
This method performs localization of space (basis weights).
This is a recursive call, which means it updates the internal state estimate based on the given observations. For each observation given, two steps are performed recursively: First, the current state is propagated forward in time in what is known as the prediction step. $$ \begin{align} \boldsymbol{\mu}_{t|t-1} &= \boldsymbol{G}$ \boldsymbol{\mu}_{t-1|t-1},\ % \boldsymbol{\Sigma}_{t|t-1} &= \boldsymbol{G} \boldsymbol{\Sigma}_{t-1|t-1} \boldsymbol{G}^{T} + \boldsymbol{Q}_t, \end{align} $$ In practice, the prediction does nothing for spatial filters because basis weights are time invariant.
Next, we integrate the observations into the current state in the update step. $$ \begin{align} \boldsymbol{K}_t &= \boldsymbol{\Sigma}_{t|t-1} \boldsymbol{H}_t^{T} (\boldsymbol{H}_t \boldsymbol{\Sigma}_{t|t-1} \boldsymbol{H}_t^{T} + \boldsymbol{R}_t)^{-1},\ % \boldsymbol{\mu}_{t|t} &= \boldsymbol{\mu}_{t|t-1} + \boldsymbol{K}_t(\boldsymbol{y}_t - h(\boldsymbol{\mu}_{t|t-1})),\ % \boldsymbol{\Sigma}_{t|t} &= (I - \boldsymbol{K}_t \boldsymbol{H}_t)\boldsymbol{\Sigma}_{t|t-1}, \end{align} $$
Lastly, the mean and covariance of the state are returned. At the end of both the prediction and update steps the internal phase value is clipped such that it falls within the range [0, 1].
| measurement | Matrix of dimension T x D containing observations, where T is the number of timesteps that have been observed since the last call to localize() and D is the dimension of the measurement space. |
| measurement_noise | Matrix of dimension D x D containing the measurement noise for the given set of measurements. |
| active_dofs | Vector of dimension \( D_o \) containing measurement space indices of the observed degrees of freedom. Note that the measurements will also contain unobserved degrees of freedom, but their values should not be used for inference. |
| return_phase_variance | This is not used for this filter but is maintained for API compatibility with the others. |
| def intprim.filter.kf.KalmanFilter.localize | ( | self, | |
| measurement, | |||
| measurement_noise, | |||
| active_dofs, | |||
return_phase_variance = False |
|||
| ) |
This method performs localization of space (basis weights).
This is a recursive call, which means it updates the internal state estimate based on the given observations. For each observation given, two steps are performed recursively: First, the current state is propagated forward in time in what is known as the prediction step. $$ \begin{align} \boldsymbol{\mu}_{t|t-1} &= \boldsymbol{G}$ \boldsymbol{\mu}_{t-1|t-1},\ % \boldsymbol{\Sigma}_{t|t-1} &= \boldsymbol{G} \boldsymbol{\Sigma}_{t-1|t-1} \boldsymbol{G}^{T} + \boldsymbol{Q}_t, \end{align} $$ In practice, the prediction does nothing for spatial filters because basis weights are time invariant.
Next, we integrate the observations into the current state in the update step. $$ \begin{align} \boldsymbol{K}_t &= \boldsymbol{\Sigma}_{t|t-1} \boldsymbol{H}_t^{T} (\boldsymbol{H}_t \boldsymbol{\Sigma}_{t|t-1} \boldsymbol{H}_t^{T} + \boldsymbol{R}_t)^{-1},\ % \boldsymbol{\mu}_{t|t} &= \boldsymbol{\mu}_{t|t-1} + \boldsymbol{K}_t(\boldsymbol{y}_t - h(\boldsymbol{\mu}_{t|t-1})),\ % \boldsymbol{\Sigma}_{t|t} &= (I - \boldsymbol{K}_t \boldsymbol{H}_t)\boldsymbol{\Sigma}_{t|t-1}, \end{align} $$
Lastly, the mean and covariance of the state are returned. At the end of both the prediction and update steps the internal phase value is clipped such that it falls within the range [0, 1].
| measurement | Matrix of dimension T x D containing observations, where T is the number of timesteps that have been observed since the last call to localize() and D is the dimension of the measurement space. |
| measurement_noise | Matrix of dimension D x D containing the measurement noise for the given set of measurements. |
| active_dofs | Vector of dimension \( D_o \) containing measurement space indices of the observed degrees of freedom. Note that the measurements will also contain unobserved degrees of freedom, but their values should not be used for inference. |
| return_phase_variance | This is not used for this filter but is maintained for API compatibility with the others. |


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"Ford v Ferrari" star Christian Bale is done with dramatic weight fluctuations for movie roles
by CBS NewsAcademy Award-winning actor Christian Bale has undergone dramatic weight fluctuations for roles in such films as "Vice," in which he played Vice President Dick Cheney, and the new film "Ford v Ferrari," in which he stars as the much slender race car driver Ken Miles. Now, in an interview to be broadcast on "CBS Sunday Morning" November 10, Bale told correspondent Tracy Smith he's done with the seesaw weight changes.
Smith talked with Bale and Matt Damon about the new film "Ford v Ferrari," in which Damon plays the late famed automotive genius Carroll Shelby, who in 1966 was tasked by Ford Motor Company to create a race car to beat those produced by the Italian automaker Ferrari in the 24 Hours of Le Mans road race.
Bale plays Miles, the driver hired to race for Ford.
"I had a great time watching him," Damon said of working with Bale. "He's got [an] incredible monk-like discipline, like, when he went from Dick Cheney to this guy. So, he had to lose 70 pounds."
"I keep saying I'm done with it," Bale said of his weight fluctuations. "I really think I'm done with it, yeah!"
"Ford v Ferrari" is the first film in which Damon and Bale have worked together. In addition to discussing the movie's world of auto racing and their characters' exploits, Smith also talked with Bale about roles that he has landed because Damon had turned them down, such as "The Fighter," for which Bale won a Best Supporting Actor Oscar.
"I am very grateful to Matt because I wouldn't have a career if it wasn't for roles he passed on," Bale said. "There are many roles where I was told, 'Oh, well, Matt doesn't wanna do it.' So they went, 'Ugh, all right, what about Bale?' And then I got the role. So, thank you for that, Matt!"
"Ford v Ferrari" opens in theatres November 15. To watch a trailer click on the video player below:
For more info:
- "Ford v. Ferrari" (20th Century Fox)
The Emmy Award-winning "Sunday Morning" is broadcast on CBS Sundays beginning at 9 a.m. ET, and is rebroadcast on Pop TV at 12:30 p.m. ET/9:30 a.m. PT. "Sunday Morning" also streams on CBSN beginning at 9:30 a.m. ET and repeated at 1 p.m. ET, and is available on cbs.com, CBS All Access and On Demand.
Be sure to follow us at cbssundaymorning.com , and on Twitter (@CBSSunday), Facebook , and Instagram (#CBSSundayMorning).


< Back
Michael Bostick
Date of Birth
2/22/83
Sex
Male
Age
35
Status
Single
Ethnicity
African American
Japanese
Italian


| (a) | B.A. GENERAL | Part-|,||,||| |
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Top 3 Ways to Earn a Passive Income from Crypto in 2019
by Christina CombenWant to make money with almost no effort? Well, you can earn a passive income from crypto if you’re willing to make a few trade-offs.
Earn a Passive Income from Crypto
As the cryptocurrency industry matures, more services and innovations are cropping up to allow you to make the most of your assets. Just as what savers and investors do in traditional finance, crypto holders can also make their coins work for them if they want to do more than patiently HODL.
Mining may no longer be profitable for individuals on most coins and scouting out for airdrops is a bit passe. So, here’s a list of the top three ways to earn a passive income from crypto in 2019.
1. Earn Interest on Your Crypto
If you’re willing to part with your private keys and keep your crypto on a crypto lending platform, you can earn interest on your BTC, ETH, and several other coins and tokens by opening an interest account with a company like Celsius Network or BlockFi.
The above-mentioned companies have no lock-up periods or minimum deposits. However, the amount of interest you earn will obviously vary with the number of coins you have. BlockFi, for example, pays and Annual Percentage Yield of 6.2% on 0-5 BTC, but just 2.6% on anything over 5 BTC.
If you don’t have significant crypto holdings, another way to make your money work for you would be to convert some fiat into a stablecoin such as TRUEUSD. Rather than earn next to nothing in your bank, you can get up to 10% per annum at Celsius Network. You can also take out a loan using your crypto as collateral if you need access to fiat.
Be sure to do your own research before thinking about storing your crypto on any platform. If you’re going to risk not having your private keys in cold storage, at least know who the platform’s custodian is and whether they have any sort of insurance policy.
2. Proof of Stake Coins
Many people call staking the new mining, but staking requires a lot less effort. There are several Proof-of-Stake coins beyond Tezos, Dash, Stellar, and Decred, that allow you to earn coins simply by placing them in a designated wallet or stake pool.
You can even use your exchange wallet on Coinbase and Binance to stake Tezos. Users can stake XTZ from inside their accounts, although, of course, the exchange will take a percentage of your earnings.
Staking on Ethereum and Cardano will soon become hot topics of conversation as well, as Cardano completes its Shelley upgrade and ETH makes its long-waited move to PoS.
Be sure to check out the ROIs and lock-up periods each coin requires to see if it’s worth your while. Also, remember to ask whether it’s simple passive income you want or to earn the right to vote on the network as well.
3. Lend Your Crypto
Just as with interest-earning platforms, you can lend your crypto as well. There are plenty of providers in this area including peer-to-peer lending provider CoinLoan that lets you lend out your chosen crypto with up to 12% ROI.
You can choose your own lock-up period, from seven days to three years as well as the amount you want to loan out. A quick example, though. Loan out 35 ETH over six months and you’ll get 2.1 ETH back.
There is also Binance Lending that allows you to hold your crypto with its Lending Product to accrue interest.
Bitfinex also lets you lend out over 24 different assets including BTC, EOS, NEO, ETH, and DASH. The best rates are about 0.02% per day, which comes to around 7% a year. Although, most opportunities are for a short period of time as many traders won’t lock into a position for more than 30 days.
As with staking and interest accounts, be sure to DYOR. Not all these products are suitable for everyone. If you’re a firm believer that if you don’t have control over your private keys, you don’t have control over your coins; it’s probably better just to HODL.
What do you think is the best way to earn passive crypto income? Add your thoughts below!
Images via Shutterstock
The Rundown


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A collection of open-source libraries for high level network programming.
The project aims to build upon the latest C++ standard (currently C++11) to provide easy to use libraries for network programming. We use the latest compiler versions and features with an eye on pushing the boundaries on leveraging what's available in C++.
Currently the library contains an HTTP client and server implementation, a stand-alone URI library, a network message framework, and some concurrency tools.
The project welcomes contributions from people interested in joining the effort. See the section on Project Policies for more information on getting involved.
The project welcomes contributors and starting with 2013, we've resolved to document as much of the policies we follow in the project as we can. Please follow the links below for more information.


Important Algorithms
Supervised Learning
- Decision Tree
- Naïve Bayes Classification
- Ordinary Least Quares Regression
- Logistic Regression
- Support Vector Machines
- Ensemble Methods
Unsupervised Learning
- Clustering Algorithms
- Centroid-based
- Connectivity-based
- Density-based
- Probabilistic
- Dimensionality Reduction
- Neural Networks / Deep Learning
- Principal Component Analysis (PCA)
- Singular Value Decomposition
- Independent Component Analysis
(https://gab41.lab41.org/the-10-algorithms-machine-learning-engineers-need-to-know-f4bb63f5b2fa#.h1knedec6)


Versioning and branching models
This file explains the versioning and branching models of this project.
Versioning
The versioning is inspired by Semantic Versioning:
Given a version number MAJOR.MINOR.PATCH, increment the:
- MAJOR version when you make incompatible API changes
- MINOR version when you add functionality in a backwards-compatible manner
- PATCH version when you make backwards-compatible bug fixes
Public API
Classes and methods marked with the @api
tag are considered to be the public
API of this project.
Branching Model
The branching is inspired by @jbenet simple git branching model:
master
must always be deployable.- all changes are made through feature branches (pull-request + merge)
- rebase to avoid/resolve conflicts; merge in to
master


Letters to BS: The need of the hour is to use AI for stressed assets
The painstaking efforts of all banks are commendable and would be proven by their recovery
by Business StandardThis refers to “Now is the time for a bad bank” (November 1). It is imperative to note the GNPA (gross non-performing assets) of all commercial banks have declined in FY19 post the ushering in of the Insolvency and Bankruptcy Code (IBC). The painstaking efforts of all banks are commendable and would be proven by their recovery. It would be in the interest of everyone to continue with ARCs (asset reconstructions companies) as they have covered substantial ground in 15 years gaining massive experience.
Contracts and outsourcing is a way of life now. Bankers who have given loans following a structured process by calling the correct shots are the kind of industry professionals who should be deployed in the ARCs to tackle bad loans. It is important to note they made the preparation with the right ingredients and they are equipped to handle the after-affects, thanks to their experiences. ARCs have valuable exposure of more than a decade; using artificial intelligence and blockchain to deal with the stressed assets is the need of the hour.
N K Bakshi, Vadodara
Letters can be mailed, faxed or e-mailed to:
The Editor, Business Standard
Nehru House, 4 Bahadur Shah Zafar Marg
New Delhi 110 002
Fax:<PHONE_NUMBER>1 · E-mail<EMAIL_ADDRESS>All letters must have a postal address and telephone number


Plugin Configuration File - plugin.xml
以下是示例插件配置文件.
此示例展示并描述了可以在plugin.xml
文件中使用的所有元素.
<!-- `url` specifies the URL of the plugin homepage (can be opened from "Plugins" settings dialog) -->
<idea-plugin url="https://www.jetbrains.com/idea">
<!-- Plugin name -->
<name>VssIntegration</name>
<!-- Unique identifier of the plugin.
Cannot be changed between the plugin versions.
If not specified, assumed to be equal to <name>. -->
<id>com.jetbrains.vssintegration</id>
<!-- Description of the plugin. -->
<description>Vss integration plugin</description>
<!-- Description of changes in the latest version of the plugin.
Displayed in the "Plugins" settings dialog and in the
plugin repository Web interface. -->
<change-notes>Initial release of the plugin.</change-notes>
<!-- Plugin version -->
<version>1.0</version>
<!-- The vendor of the plugin.
The optional "url" attribute specifies the URL of the vendor homepage.
The optional "email" attribute specifies the e-mail address of the vendor.-->
<vendor url="https://www.jetbrains.com"<EMAIL_ADDRESS>/>
<!-- The unique identifiers of the plugins on which this plugin depends. -->
<depends>com.MyFirstPlugin</depends>
<!-- Optional dependency on another plugin.
If the plugin with the "com.MySecondPlugin" ID is installed,
the contents of mysecondplugin.xml (the format of this file
conforms to the format of plugin.xml) will be loaded. -->
<depends optional="true" config-file="mysecondplugin.xml">com.MySecondPlugin</depends>
<!-- Allows a plugin to integrate its help system (in JavaHelp format)
with the IDE help system. The "file" attribute specifies the name
of the JAR file in the "help" subdirectory of the plugin directory.
The "path" attribute specifies the name of the helpset file within
the JAR file.-->
<helpset file="myhelp.jar" path="/Help.hs" />
<!-- Minimum and maximum build of IDE compatible with the plugin -->
<idea-version since-build="183" until-build="183.*"/>
<!-- Resource bundle (/messages/MyPluginBundle.properties) to be used
with `key` attributes in extension points and implicit keys like
`action.[pluginID].[ActionID].text` -->
<resource-bundle>messages.MyPluginBundle</resource-bundle>
<!-- Plugin's application components -->
<application-components>
<component>
<!-- Component's interface class -->
<interface-class>com.foo.Component1Interface</interface-class>
<!-- Component's implementation class -->
<implementation-class>com.foo.impl.Component1Impl</implementation-class>
</component>
</application-components>
<!-- Plugin's project components -->
<project-components>
<component>
<!-- Interface and implementation classes are the same -->
<implementation-class>com.foo.Component2</implementation-class>
<!-- If the "workspace" option is set "true", the component
saves its state to the .iws file instead of the .ipr file.
Note that the <option> element is used only if the component
implements the JDOMExternalizable interface. Otherwise, the
use of the <option> element takes no effect. -->
<option name="workspace" value="true" />
<!-- If the "loadForDefaultProject" tag is present, the project component is instantiated also for the default project. -->
<loadForDefaultProject/>
</component>
</project-components>
<!-- Plugin's module components -->
<module-components>
<component>
<implementation-class>com.foo.Component3</implementation-class>
</component>
</module-components>
<!--  Extension points defined by the plugin.
Extension points are registered by a plugin so that other
plugins can provide this plugin with certain data. The
"beanClass" attribute specifies the class the implementations
of which can be used for the extension point. -->
<extensionPoints>
<extensionPoint name="testExtensionPoint" beanClass="com.foo.impl.MyExtensionBean"/>
</extensionPoints>
<!-- Extensions which the plugin adds to extension points
defined by the IntelliJ Platform or by other plugins.
The "defaultExtensionNs " attribute must be set to the
ID of the plugin defining the extension point, or to
"com.intellij" if the extension point is defined by the
IntelliJ Platform. The name of the tag within the <extensions>
tag matches the name of the extension point, and the
"implementation" class specifies the name of the class
added to the extension point. -->
<extensions xmlns="VssIntegration">
<testExtensionPoint implementation="com.foo.impl.MyExtensionImpl"/>
</extensions>
</idea-plugin>
Last modified: 9 May 2019


Varadkar: Speed of post-Brexit trade talks ‘impossible to predict’
The UK will need to secure a deal ensuring continued access to the EU market, and the Irish premier warned talks could take more than a year.
The speed of post-Brexit trade negotiations is impossible to predict, Irish premier Leo Varadkar has said.
The UK will need to secure a deal to ensure continued access to the EU market after Brexit, and the Taoiseach warned that talks could take more than a year.
He discussed the British EU withdrawal in the Dail parliament in Dublin on Tuesday.
The Fine Gael leader said: “If the new free trade agreement is very close to the status quo it could be negotiated very quickly, but the more and more the UK chooses to diverge from the status quo, the longer it is going to take obviously to negotiate that, because the negotiation is going to be all about the difference.
“It is impossible to predict but I think it would be ambitious to have it done in 2020, but that is what we are going to try to do.”
The Irish border has been one of the key sticking points in the Brexit negotiations.
Unionists in Belfast are opposed to Prime Minister Boris Johnson’s proposed Brexit deal with the EU. They believe it would create a regulatory border between Northern Ireland and the rest of the UK.
It would involve the region following some of the rules of the EU’s single market to avoid a hard frontier on the island of Ireland but including a new regime for goods crossing the Irish Sea.