run() |
Description: |
Let the library listen to the ladderlog. |
send_command(command) |
Description: |
Sends a command to the server. |
| Parameters: |
command (string) - Command to send to the server. A newline is added automatically. |
add_handler(command, handler) |
Description: |
Adds a handler that will be called when the specified ladderlog command is received. |
| Parameters: |
command (string) - Ladderlog command to attach the handler.
handler (function) - A callback function in the form of handler(command) where command is a list representing the parameters of the command where the first parameter is the command itself. |
remove_handler(command, handler) |
Description: |
Removes a handler from a ladderlog command. |
| Parameters: |
command (string) - Ladderlog command of the handler.
handler (function) - The handler to remove. |
set_chat_handler(command, handler) |
Description: |
Sets the handler for a chat command. |
| Parameters: |
command (string) - Chat command (including the beginning slash) to attach the handler.
handler (function) - A callback function in the form of handler(command) where command is a list representing the command where the first element is the command itself (including the beginning slash), the second element is the player's name who issued the command, the third element is the player's IP address, the fourth element is the player's access level, and the rest are the command arguments. |
remove_chat_handler(command) |
Description: |
Removes a handler from a chat command (making the command unknown). |
| Parameters: |
command (string) - Chat command to remove the handler from (including the beginning slash). |
say(message) |
Description: |
Sends the SAY command with the message. Appears as "Admin: message " in each player's console. |
| Parameters: |
message (string) - Message to say. |
console_message(message) |
Description: |
Prints message to every player's console. |
| Parameters: |
message (string) - Message to send. |
center_message(message) |
Description: |
Prints message on everybody's screens. |
| Parameters: |
message (string) - Message to send. |
send_message(player, message) |
Description: |
Prints message to the specified player's console. |
| Parameters: |
player (string or Player) - Player to send the message.
message (string) - Message to send. |
pause_round() |
Description: |
Tell the server to wait before starting a new round. |
continue_round() |
Description: |
Tell the server to start the round (if it was paused). |
set_repository(address) |
Description: |
Sets the resource server. |
| Parameters: |
address (string) - URI of the resource server. |
set_map(resource) |
Description: |
Sets the current map. |
| Parameters: |
resource (string) - Resource of the map. |
include(config) |
Description: |
Includes a configuration file. |
| Parameters: |
config (string) - Name of the configuration file to include. |
rinclude(config) |
Description: |
Includes a configuration file from a resource. |
| Parameters: |
config (string) - Resource address of the configuration file to include. |
reload() |
Description: |
Reload's the server's configuration by including the default settings. |
end_round() |
Description: |
Ends the round by spawning the win/death zone immediately. |
get_team(name) |
Description: |
Get a Team object by name. |
| Parameters: |
name (string) - Name of the team to get. |
| Return: |
team (Team) - Team object with the given name. |
get_player(name) |
Description: |
Get a Player object by name. |
| Parameters: |
name (string) - Name of the player to get. |
| Return: |
player (Player) - Player object with the given name. |
get_zone(name) |
Description: |
Get a Zone object by name. |
| Parameters: |
name (string) - Name of the zone to get. |
| Return: |
zone (Zone) - Zone object with the given name. |
create_zone(name, type, x, y, size, growth=0, xdir=0, ydir=0, interactive=None, r=None, g=None, b=None, target_size=None, rubber=None, player=None, owner=None, target_command=None) |
Description: |
Create a new zone. |
| Parameters: |
name (string) - Name of the new zone.
type (string) - Type of the new zone.
x (float) - The x coordinate of the new zone.
y (float) - The y coordinate of the new zone.
size (float) - Size of the new zone.
growth (float) - Growth of the new zone. Defaults to 0.
xdir (float) - Change in the x direction of the new zone. Defaults to 0.
ydir (float) - Change in the y direction of the new zone. Defaults to 0. |
| Return: |
zone (Zone) - The newly created zone (also stored internally). |
round (int) |
Description: |
Current round number. |
num_players (int) |
Description: |
Number of people playing. |
send_message(message) |
Description: |
Sends a message to the player's console. |
| Parameters: |
message (string) - The message to send. |
kill() |
Description: |
Kills the player instantly. |
kick(reason=None) |
Description: |
Kicks a player for a specified reason. |
| Parameters: |
reason (string) - The message displayed when the player is kicked. Defaults to None. |
ban(time=None, reason=None) |
Description: |
Bans a player for the specified time and reason. |
| Parameters: |
time (int) - The amount of minutes to ban the player. Defaults to Armagetron's decision.
reason (string) - The message displayed when the player is banned. Defaults to None. |
ban_ip(time=None, reason=None) |
Description: |
Bans a player's IP address for a specified time and reason. |
| Parameters: |
time (int) - The amount of minutes to ban the player. Defaults to Armagetron's decision.
reason (string) - The message displayed when the player is banned. Defaults to None. |
declare_winner() |
Description: |
Sets the player as the winner and ends the round. |
teleport(x, y, xdir, ydir) |
Description: |
Teleport the player to the specified location. Note: This function works in sty+ct only. |
| Parameters: |
x (float) - The x coordinate of the player.
y (float) - The y coordinate of the player.
xdir (int) - The x direction of the player. Its value is based on the current axis system. For example, you could put 1 here in four axes to mean go forward on the x axis.
ydir (int) - The y direction of the player. Its value is based on the current axis system. For example, you could put 1 here in four axes to mean go forward on the y axis. |
respawn(x, y, xdir, ydir) |
Description: |
Respawns the player at the specified location. Note: This function works in sty+ct only. |
| Parameters: |
x (float) - The x coordinate of the player.
y (float) - The y coordinate of the player.
xdir (int) - The x direction of the player. Its value is based on the current axis system. For example, you could put 1 here in four axes to mean go forward on the x axis.
ydir (int) - The y direction of the player. Its value is based on the current axis system. For example, you could put 1 here in four axes to mean go forward on the y axis. |
name (string) |
Description: |
The player's internal name or login. |
screenname (string) |
Description: |
The player's visible name, UTF-8 (Python's native) encoded in the case of special characters. |
ip (string) |
Description: |
The player's IP address. |
score (int) |
Description: |
The player's score. |
alive (bool) |
Description: |
Whether or not the player is alive. |
change_color(r, g, b) |
Description: |
Sets the zone's color from an RGB triplet. |
| Parameters: |
r (int) - Red part of color.
g (int) - Green part of color.
b (int) - Blue part of color. |
change_expansion(growth) |
Description: |
Sets the zone's growth factor. |
| Parameters: |
growth (float) - The zone's growth factor. |
change_position(x, y) |
Description: |
Sets the zone's position. |
| Parameters: |
x (float) - The x coordinate of zone.
y (float) - The y coordinate of zone. |
change_size(size, growth=None) |
Description: |
Sets the zone's size and a growth rate to it. |
| Parameters: |
size (float) - The zone's size.
growth (float) - The zone's growth rate to get to that size. Defaults to instantly. |
change_speed(xdir, ydir) |
Description: |
Set the zone's speed by components. |
| Parameters: |
xdir (float) - The zone's x component of the velocity.
ydir (float) - The zone's y component of the velocity. |
set_command(command) |
Description: |
Set the command of the target zone. |
| Parameters: |
command (string) - Armagetron command to be called when the target zone is entered. |
name (string) |
Description: |
The zone's name. |
type (string) |
Description: |
The zone's type. |
x (float) |
Description: |
The (set) x coordinate of the zone. Note: This will change if xdir is set. |
y (float) |
Description: |
The (set) y coordinate of the zone. Note: This will change if the ydir is set. |
size (float) |
Description: |
The (set) size of the zone. |
growth (float) |
Description: |
The growth of the zone. |
xdir (float) |
Description: |
The x component of the velocity of the zone. |
ydir (float) |
Description: |
The y component of the velocity of the zone. |
| Note: If these parameters are changed outside of the zone's functions (i.e. an Armagetron command), these values will not be accurate. |
| On destruction, the zone is simply set to collapse. |


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Introduction
This is a very basic set of mapping API demos, built with both the Ovi Maps API and with the Mapstraction API using the Ovi Maps API. It's strongly inspired by, and built on, the examples in the Mapstraction API Sandbox.Built with the YUI library. I Wish I Had A Map image courtesy of Infidelic on Flickr. Be social; the code is over on GitHub at https://github.com/vicchi/maps-api-demos.
maps.vicchi.org by Gary Gale is licensed under a Creative Commons Attribution-Share Alike 2.0 UK: England & Wales License.


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GEOS allows two distinct models of document control, a Procedural model and an Object model. While the two models use the same objects, they embody different programming philosophies.
The Procedural model of document control is much like traditional, non-object-oriented programming. Under this model, whenever a situation arises that needs the application's attention, the document control objects will send a message to a single object (generally the Process object). This object handles all of these situations.
Under the
Object
model of document control, the application defines a subclass of
GenDocumentClass
. This new document class has methods to handle situations needing the application's attention. This model is based on the philosophy of object-oriented programming; each document object has code to handle situations arising for that document.
The main difference between the two models is where the messages are sent. Under the Procedural model, messages are sent to the Process object; under the Object model, messages are sent to the appropriate document object. Every message sent in the Procedural model corresponds to a message sent in the Object model.
The Procedural model is simpler to use; it does not require the application to subclass objects. It is thus well-suited for simple applications which will have only one file open at a time. It may also be an easier model for programmers who are new to object-oriented programming. The Object model, on the other hand, is best suited for applications which will have many documents open at once; the application can let every document object manage a single document without worrying about other open documents.
The Procedural model of document control is much like traditional, procedure-oriented programming. This model is simpler to implement than the object-model. It is well suited for simple applications which have only one document open at a time.
Under the Procedural model of document control, every time a situation arises which requires the application's attention, the document control objects will send an appropriate message to the GenDocumentGroup object's output. These messages are imported from
MetaClass
, so all objects can handle them. The application will generally use global variables for run-time data storage.
For example, when a new document needs to be initialized, the
document control sends a
MSG_META_DOC_OUTPUT_INITIALIZE_DOCUMENT_FILE
to its output object. The output object takes any appropriate steps (e.g., storing the file handle, setting up the map block, etc.).
The
Object
model of document control is better suited to advanced applications and applications which will have more than one document open at a time. Under this model, the application defines a subclass of
GenDocumentClass
. This new document class has handlers for situations requiring the application's attention. It also has local variables (i.e., instance data fields) which store any information the application will need about this document.
Whenever a situation arises that needs the application's attention, the relevant document object will send a message to itself. This document object will then handle the message. For example, an application might define its own document class,
MyAppDocumentClass
(a subclass of
GenDocumentClass)
. Suppose a new document has been created and needs to be initialized. First, the GenDocumentGroup object will create a new document object by instantiating an object of
MyAppDocumentClass
. Next, the new document object will send itself a
MSG_GEN_DOCUMENT_INITIALIZE_DOCUMENT_FILE.
MyAppDocumentClass
will have a handler for this message; the handler will initialize the file as well as the document object's data structures.
The simplest way to show the difference between the two models is to see how a single event is handled. This section examines one specific case, in which a document needs to be initialized; other cases are handled analogously.
Suppose a situation arises needing the application's attention; for example, a document is created and needs to be initialized. First, the document object will send an appropriate message to itself. In this case, it would send itself the message
MSG_GEN_DOCUMENT_INITIALIZE_DOCUMENT_FILE
. If the application uses a subclass of
GenDocumentClass
and this subclass has a handler for
MSG_GEN_DOCUMENT_INITIALIZE_DOCUMENT_FILE
, the messager will call that method; otherwise, the messager will call the handler defined for this message by
GenDocumentClass
. The handler in
GenDocumentClass
will find out the
GenDocumentGroup
object's output optr. If this optr is non-null, the handler will send an appropriate message (in this case,
MSG_META_DOC_OUTPUT_INITIALIZE_DOCUMENT_FILE
) to the output object.
Note that, under normal circumstances, the application will handle only one of the two messages. For example, if the application writes a handler for
MSG_GEN_DOCUMENT_PHYSICAL_SAVE
, the handler defined by
GenDocumentClass
will not be called; as a result,
MSG_META_DOC_OUTPUT_PHYSICAL_SAVE
will not be sent to the
GenDocumentGroup
object's output. This is not usually a problem, since the application will generally handle one message or the other. If, for some reason, it needs to have both messages sent, the handler for
MSG_GEN_DOCUMENT_SAVE
should contain a
@callsuper
instruction.


Seeing Theory was created by Daniel Kunin while an undergraduate at Brown University. The goal of this website is to make statistics more accessible through interactive visualizations (designed using Mike Bostock’s JavaScript library D3.js).
The Team
Italian version by Maurizio Napolitano
Awards & Press
We are currently working on a textbook for Seeing Theory. Download a draft of our pdf below. You can provide feedback on our writing here.
Twitter
Contact
Github
Donate


Nice short content.
Problematic longer content. This text is bound to escape the card, which is sized according to the title on its front face. The problem is the back face’s absolute positioning, which takes it out of flow and means we lose access to its size. This is the kind of content you get in real life: sometimes shorter than you expected, but more often than not — probably due to the work involved in writing concisely — far longer!


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Download:
Source code:
The following program versions are covered:
Standard behavior:
What is new:
|
The gcc compiler for Win32:
http://www.mingw.org
Digital Mars compiler:
http://www.digitalmars.com
A zsh shell for Win32:
ftp://ftp.blarg.net/users/amol/zsh
The home of vim, has a Win32 version:
http://www.vim.org
An emacs for NT:
http://www.gnu.org/software/emacs/windows/ntemacs.html
The CVS version control system:
http://www.cvshome.org
http://www.cvsnt.org
A free IDE for the Win32 gcc:
VIDE
Josť Fonsecas site with related stuff:
http://jrfonseca.dyndns.org/projects/gnu-win32
HTML man pages for the GNU utilities:
http://www.fsf.org/manual/manual.html
An Un*x shell scripting resource:
http://www.shelldorado.com/
Another source of unixish stuff:
http://virtunix.itribe.net
Useful free NT system utilities:
http://www.sysinternals.com
Some hints on cloning your system with dd:
http://www.rajeevnet.com/hacks_hints/os_clone/os_cloning.html
Programs missing from this distribution, especially a command line registry editor.
http://www.dmst.aueb.gr/dds/sw/outwit
The GNU Privacy Guard:
http://www.gnupg.org
zip and unzip from the Infozip distribution:
http://www.info-zip.org/pub/infozip
An Un*x emulation on Win32:
http://www.cygwin.com
Another Un*x emulation on Win32:
http://www.research.att.com/sw/tools/uwin/
Windows Services for UNIX, integrates the Interix subsystem:
http://www.microsoft.com/windows/sfu/productinfo/overview/default.asp
Read my standard disclaimer: (really?)
Last change on 15-04-03 by Karl M. Syring (bug reports are welcome)
Original location of this page: http://www.weihenstephan.de/~syring/win32/UnxUtils.html


Description: Load data from the server using a HTTP POST request.
url: String A string containing the URL to which the request is sent.
data: Map, String A map or string that is sent to the server with the request.
success(data, textStatus, jqXHR): Function() A callback function that is executed if the request succeeds.
dataType: String The type of data expected from the server. Default: Intelligent Guess (xml, json, script, text, html).
This is a shorthand Ajax function, which is equivalent to:
$.ajax({
type: 'POST',
url:
The success
callback function is passed the returned data, which will be an XML root element or a text string depending on the MIME type of the response. It is also passed the text status of the response.
As of jQuery 1.5, the success
callback function is also passed a "jqXHR" object (in jQuery 1.4, it was passed the XMLHttpRequest
object).
Most implementations will specify a success handler:
$.post('ajax/test.html', function(data) {
$('.result').html(data);
});
This example fetches the requested HTML snippet and inserts it on the page.
Pages fetched with POST
are never cached, so the cache
and ifModified
options in jQuery.ajaxSetup()
have no effect on these requests.
As of jQuery 1.5, all of jQuery's Ajax methods return a superset of the XMLHTTPRequest
object. This jQuery XHR object, or "jqXHR," returned by $.post()
implements the Promise interface, giving it all the properties, methods, and behavior of a Promise (see Deferred object for more information). For convenience and consistency with the callback names used by $.ajax()
, it provides .error()
, .success()
, and .complete()
methods. These methods take a function argument that is called when the request terminates, and the function receives the same arguments as the correspondingly-named $.ajax()
callback.
The Promise interface in jQuery 1.5 also allows jQuery's Ajax methods, including $.post()
, to chain multiple .success()
, .complete()
, and .error()
callbacks on a single request, and even to assign these callbacks after the request may have completed. If the request is already complete, the callback is fired immediately.
// Assign handlers immediately after making the request,
// and remember the jqxhr object for this request
var jqxhr = $.post("example.php", function() {
alert("success");
})
.success(function() { alert("second success"); })
.error(function() { alert("error"); })
.complete(function() { alert("complete"); });
// perform other work here ...
// Set another completion function for the request above
jqxhr.complete(function(){ alert("second complete"); });
.error()
method of the jqXHR
object returned by jQuery.post() is also available for error handling.
$.post("test.php");
$.post("test.php", { name: "John", time: "2pm" } );
$.post("test.php", { 'choices[]': ["Jon", "Susan"] });
$.post("test.php", $("#testform").serialize());
$.post("test.php", function(data) {
alert("Data Loaded: " + data);
});
$.post("test.php", { name: "John", time: "2pm" },
function(data) {
alert("Data Loaded: " + data);
});
$.post("test.php", { name: "John", time: "2pm" },
function(data) {
process(data);
},
"xml"
);
$.post("test.php", { "func": "getNameAndTime" },
function(data){
console.log(data.name); // John
console.log(data.time); // 2pm
}, "json");
<!DOCTYPE html>

<form action="/" id="searchForm">
<input type="text" name="s" placeholder="Search..." />
<input type="submit" value="Search" />
</form>


Current Projects
Page 2
Go to current projects page 3
Some benchwork is getting done! This is both the beginning and the end of the layout.
There is only about 2000 feet of track to lay between these two loops. Duluth is
on the lower deck and Ft. Francis, Ontario will occupy the upper deck. All of the
track is Atlas flex track. It is code 148 on brown plastic ties. We are laying the
track on Midwest cork roadbed that is glued to 3/4” plywood subroadbed. All of the
lumber is ripped from 4 X 8 sheets of 3/4” AC plywood; the exception being the joists
on the lower level. The angle of this photo is actually looking at an area that
will be against walls in a corner of the room. The aisle is along the upper portion
of the photo. Our space is limited for a layout this size so we build than disassemble
all but the adjoining module to continue building into the next run. These sections
are now in storage waiting for delivery and installation on-
An update: like many pikes this one has evolved and these loops are no longer as seen. The upper loop has been eliminated and a new reverse loop is now located in the upper North West corner of the building.
This photo is looking along the lower level as it enters the loop. Some of our construction
methods are seen here. The L-
Looking down at the upper level; some of the Atlas switches can be seen. The majority
of the switches will be thrown by hand using Caboose Industries switch stands. The
Atlas switches are not designed for this set up. There are no long headblocks so
we are cutting out the plastic ties on either side of the throwbar and gluing wooden
switch ties to the roadbed to support the switch stands. This can be seen clearly
in the photo. The RS-
Our first trip to Nebraska with the initial installation. We have since made three additional trips. We filled a 26’ Penske truck with modules. We assembled what amounts to 250’ of benchwork in 4 days. We also decided that we would further standardize the benchwork for the remainder of the project. The photo above gives a fair idea of the number of pieces brought out. As our Denver shop is much smaller than the layout building, we have to build a portion than bring it to the location to make room for us to build the next segment. The wall on the right of the photo is 98’ long.
Above is looking from the East end of the building towards the entrance. Some notion of the length one must walk to follow a train is given here. Staging yards are to the left side on the lower deck and the Duluth depot and tracks to West Duluth are to the right. With the new plan the upper level to the left has been lowered 6” and greatly simplified.
The photo left is from the reverse loops looking East. We have yet to mount the upper deck beyond the loops. The beams that support the roof are rather low at the wall which dictates some of the layout planning. This aisle is a very generous width, but we are planning to narrow it a bit with additional sidings and a newly configured upper level.
The first change made on the second trip was to remove the upper reverse loop. This opened up the lower loop area enough to add some locomotive storage tracks that stand in for the prototype Rice’s Point yard.
West Duluth yard was installed. The open foreground area is for the turntable and roundhouse.
Here’s the back side of the roundhouse; a six stall conversion of an Atlas roundhouse kit. It is 2 3 stall kits assembled into one six stall. The brick color on the prototype was tan.
This is the base on which the West Duluth trestle will be built. Jeff McDonald, long time O scale modeler and friend of the client is putting the trestle together to be installed on a later trip.
Return to current projects page 1


Let's Do This!
Rules:
Ping Pong will count up to your number from 1 with the following exceptions
- Numbers divisible by 3 are replaced with "ping"
- Numbers divisible by 5 are replaced with "pong"
- Numbers divisible by 15 are replaced with "pingpong"
Ping Pong will count up to your number from 1 with the following exceptions


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Your password is required.


Preparation time
less than 30 mins
Cooking time
1 to 2 hours
Serves
Serves 4
A simple, spicy whole fish with a zesty tropical salsa.
To grill the fish, preheat an outdoor grill with citrus wood and highly grease the rack. Position the rack about 20cm/8in over a charcoal fire. To bake the fish, preheat the oven to 180C/160C Fan/Gas 4.
For the fish, combine the mayonnaise, lime juice, salt and pepper in a bowl. Rub the mixture into the fish and leave to marinate at room temperature for 20 minutes.
To prepare the sauce, soak the chillies in hot water to cover for 10 minutes. Drain, put in a blender and purée with the tomatoes, garlic, vinegar, cloves, onion, oregano, thyme, marjoram, cumin and 250ml/9fl oz water. Blend until smooth.
Heat the butter and oil in a small pan and add the purée. When it comes to a boil lower the heat and cook gently for 20 minutes, or until the sauce thickens. Add salt and pepper to taste. Take it off the heat and set aside to cool to room temperature.
To cook the fish on the grill, place the opened fish, skin side down, on the rack for 15-20 minutes, basting regularly with the sauce. Turn the fish over, baste with the melted butter and grill for 10-15 minutes, or until cooked.
To bake the fish, put it on a baking tray and cook for 25-30 minutes, basting regularly with the sauce, then melted butter.
For the salsa, heat a griddle pan and place the sliced pineapple and cook on each side for 1-2 minutes or until bar marks have appeared. Once cooled enough to handle cut into small dice. Mix with the rest of the salsa ingredients in a bowl.
When the fish is done, place the fish on a serving plate or bowl. Put the salsa into a serving bowl and serve with some wedges of lime.


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FORMULA FUN!


Represents an actual bone. It contains rotations and positions, both absolute and relative and the pose positions
@constructor
rotate - Given a quaternion, rotate the bone by that amount
Nothng more than a way of recording the pair index and count. Used internally by Skin
Another pair of values to record how biased the bone is. Used internally by Skin
A collection of weights and indices, based on the md5 model idea. It connects vertices to bones basically. It is temporarily used, with the actual skin weights being held on vertices
Index is a list of tuples called index and count
Weights is a list of tuples - a link to a bone and a bias
A skeleton is a relationship of bones
Globals, set by the profile in the App class
@constructor
TODO - static sort
A basic contract so we can recurse into the textures and similar
Check for the required extension
This variable is a texture that saves all the bone positions for the shader TODO Double check the dimensions are correct :)
Called in the node loop before drawing TODO - Should the user not call the update function? Maybe inkeeping with our 'style'?
addBone - add a Bone to this skeleton
getBone - Look through the bones and return the one matching the id
getBoneByName - Get the bone by looking for the one with the matching name
update - Called to update all the matrices of the various bones We make the assumption that all bones are in order with parents first
Update the palette/texture going to the shader
Update the texture ready for the shader


Train Schedule
Train Name
Destination
Frecuency (Minutes):
Next Arrival:
Minutes Away:
Cantabria's Express
Santiago de Compostela
60
03:40 am
8
Add a New Train
Train Name:
Destination:
First Train Time:
Frecuency ( Minutes ):
Submit:


Branches! (References or refs)
Every investigation command operates on one or more refs or a range of refs.
Searching through history is only as good as the messages and commits we have written.
git log
Walks the commit graph and searches across refs.
git diff
Compares objects between references.
git blame|annotate
Effective use of log
and diff
will answer most questions.
Visualize what you are attempting to understand to determine how to find that information.
git log tag1..tag2
git log tag2 ^tag1
is equivalent to the previousgit log branch ^master ^hotfix1
git log master...branch
== commits not in both--before
and --after
flags.--grep
-S
and -G
flags.--topo-order
to print merge children first.Every commit should be a focused change resulting in releasable software!
Git will track the upstream branch name independently of the local name. Include context locally to simplify switching.
git revert $sha
git revert -m 1 $merge_sha
*The add
command accepts a -p
or --patch
flag
to add only parts of the code you have changed. This is a killer feature!
git rebase dev
will replay all commits to the tip of dev without changes.git rebase -i dev
will provide full control over how and what gets replayed.Worried that your rebase that was meant to be a no-op was correct?
git diff HEAD ORIG_HEAD
to verify.Checkout a throwaway branch name and rebase the changes there if worried about making mistakes. This makes the previous branch comparison more explicit as well.
For developers that make mistakes and don't write perfect software on the first try, rebasing allows you to stay organized, cultivate your thoughts, and present them clearly to others. This is the tool that makes Git useful.
git log base..branch
git log branch ^base
dev
.*git log dev..branch --merges
git log $sha..dev --merges
git log $sha..dev --ancestry-path --merges
git log $sha..dev --ancestry-path --merges --grep "into.*$dest"
git log $sha..dev --ancestry-path --oneline --merges --reverse --grep "into.*$dest" | head -1
Common aliases:
git-helper
in PATH can be called by git helper
.git show $merge_commit
git diff $(git merge-base $first_parent $second_parent) $second_parent
git log $first_parent..$second_parent
git [diff|show] -w $commit
git [diff|show] --word-diff $commit
--abort
option for your failed command first. rebase
and merge
both have one.
git config --global rerere.enabled 1


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- Variable in class com.example.littleync.gameActivities.
AttributesActivity
TAG
- Static variable in class com.example.littleync.gameActivities.
MarketplaceActivity
TAG
- Static variable in class com.example.littleync.
LoginActivity
TAG
- Static variable in class com.example.littleync.
SignupActivity
testAddExp()
- Method in class com.example.littleync.model.
UserTest
testAddFish()
- Method in class com.example.littleync.model.
UserTest
testAddGold()
- Method in class com.example.littleync.model.
UserTest
testAddTrade()
- Method in class com.example.littleync.model.
UserTest
testAddWood()
- Method in class com.example.littleync.model.
UserTest
testChopWood()
- Method in class com.example.littleync.model.
UserTest
testFishFish()
- Method in class com.example.littleync.
EcopondActivityTest
testFishFish()
- Method in class com.example.littleync.model.
UserTest
testGetMonsterExpYield()
- Method in class com.example.littleync.model.
MonstersTest
testGetMonsterGoldYield()
- Method in class com.example.littleync.model.
MonstersTest
testGetMonsterHitpoints()
- Method in class com.example.littleync.model.
MonstersTest
testIncreaseCombatGearLevel()
- Method in class com.example.littleync.model.
ShopTest
testIncreaseFishingGearLevel()
- Method in class com.example.littleync.model.
ShopTest
testIncreaseWoodchoppingLevel()
- Method in class com.example.littleync.model.
ShopTest
testMonsters
- Variable in class com.example.littleync.model.
MonstersTest
testReadUser()
- Method in class com.example.littleync.
EcopondActivityTest
testRequiredExperience()
- Method in class com.example.littleync.model.
UserTest
testRequiredPrimaryResource()
- Method in class com.example.littleync.model.
ShopTest
testRequiredSecondaryResource()
- Method in class com.example.littleync.model.
ShopTest
testShop
- Variable in class com.example.littleync.model.
ShopTest
testUser
- Variable in class com.example.littleync.model.
ShopTest
testUser
- Variable in class com.example.littleync.model.
UserTest
TIME_PER_STAMINA
- Static variable in class com.example.littleync.gameActivities.
ActionTimerActivity
timeDisplay
- Variable in class com.example.littleync.gameActivities.
ActionTimerActivity
timeLeft
- Variable in class com.example.littleync.gameActivities.
ActionTimerActivity
timeOfListing
- Variable in class com.example.littleync.model.
Trade
timerRunning
- Variable in class com.example.littleync.gameActivities.
ActionTimerActivity
toastDisplay
- Variable in class com.example.littleync.gameActivities.
ArmoryActivity
TOTAL_STAMINA
- Static variable in class com.example.littleync.gameActivities.
ActionTimerActivity
TOTAL_TIME_PER_SESSION
- Static variable in class com.example.littleync.gameActivities.
ActionTimerActivity
Trade
- Class in
com.example.littleync.model
Trade object with attributes that match what is stored in the trades collection of the DB
Trade(String, String, String, String, int, int, String)
- Constructor for class com.example.littleync.model.
Trade
Constructor for the Trade object, this is called when posting a new trade
Trade()
- Constructor for class com.example.littleync.model.
Trade
Empty constructor required to automatically parse Trade document from DB
trades
- Variable in class com.example.littleync.gameActivities.
MarketplaceActivity
trades
- Variable in class com.example.littleync.model.
User
tradesLoaded
- Variable in class com.example.littleync.gameActivities.
MarketplaceActivity
tradesMap
- Variable in class com.example.littleync.gameActivities.
MarketplaceActivity
trading
- Variable in class com.example.littleync.
TravelActivity
TravelActivity
- Class in
com.example.littleync
TravelActivity()
- Constructor for class com.example.littleync.
TravelActivity
TravelPageTest
- Class in
com.example.littleync
TravelPageTest()
- Constructor for class com.example.littleync.
TravelPageTest
travelPageTest()
- Method in class com.example.littleync.
TravelPageTest
Tutorial
- Class in
com.example.littleync
To display the static tutorial page
Tutorial()
- Constructor for class com.example.littleync.
Tutorial
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Our solution to parameter setting is to have a single interface routine Zoltan_Set_Param. This function calls a set of more domain-specific parameter setting routines, each of which is responsible for a domain-specific set of parameters. Assuming there are no errors, the parameter name and new value are placed in a linked list of new parameters which is maintained by the Zoltan structure. When a partitioning method is invoked on a Zoltan structure, it scans through this linked list using the Zoltan_Assign_Param_Vals function, resetting parameter values that are appropriate to the method.
In addition to the method-specific parameters, Zoltan also has a set of so-called key parameters. These are normally stored in the Zoltan structure and may be accessed by any part of the Zoltan code (including all the methods). A list of the key parameters currently used in Zoltan can be found in the User's Guide.
The routines that control parameter setting are listed below. Note that these routines have been written to be as independent of Zoltan as possible. Only a few minor changes would be required to use these routines as a separate library.
Zoltan_Set_Param: User interface function that calls a set of method-specific routines.See also: Adding new parameters in Zoltan.
Zoltan_Set_Param_Vec: Same as Zoltan_Set_Param, but for vector parameters.
Zoltan_Check_Param: Routine to check if parameter name and value are OK.
Zoltan_Bind_Param: Routine to associate a parameter name with a variable.
Zoltan_Bind_Param_Vec: Same as Zoltan_Bind_Param, but for vector parameters.
Zoltan_Assign_Param_Vals: Scans list of parameter names & values, setting relevant parameters accordingly.
Zoltan_Free_Params: Frees a parameter list.
The Zoltan_Set_Param function is the user interface for parameter setting. Its principle purpose is to call a sequence of more domain-specific routines for setting domain-specific parameters (e.g., Zoltan_RCB_Set_Param). If you are adding algorithms to Zoltan, you must write one of these domain-specific parameter routines and modify Zoltan_Set_Param to call it. Zoltan_RCB_Set_Param can serve as a template for this task. The arguments to this routine are two strings param_name and new_val. The domain-specific routines return an integer value with the following meaning.
0 - The parameter name was found, and the value passed all error checks.If one of the domain-specific parameter routines returns with a 0, Zoltan_Set_Param adds the parameter and the value (both strings) to a linked list of such pairs that is pointed to by the Params field of the zz structure.
1 - The parameter name was not found among the parameters known by the domain-specific routine.
2 - The parameter name was found, but the value failed the error checking.
3 - Same as 0, but do not add parameter and value to linked list.
Other - More serious error; value is an error code.
| Arguments: | |
| zz | The Zoltan structure whose parameter value is being modified. |
| param_name | A string containing the name of the parameter being modified. It is automatically converted to all upper-case letters. |
| new_val | The new value desired for the parameter, expressed as a string. |
| Returned Value: | |
| int | Error code. |
This routine works the same way as Zoltan_Set_Param, but is used for vector parameters. A vector parameter is a parameter that in addition to a name also has a set of indices, usually starting at 0. Each entry (component) may have a different value. This routine sets a single entry (component) of a vector parameter. If you want all entries (components) of a vector parameter to have the same value, set the parameter using Zoltan_Set_Param as if it were a scalar parameter.
| Arguments: | |
| param_name | A capitalized string containing the name of the parameter being modified. |
| new_val | The new value desired for the parameter, expressed as a string. |
| params | The data structure (defined in params/params_const.h) describing the domain-specific parameters to be matched against. The data structure is an array of items, each of which consists of four fields. The first field is a string that is a capitalized name of a parameter. The second field is an address that is unused in Zoltan_Check_Param, but is used in Zoltan_Assign_Param_Vals. The third field is another capitalized string that indicates the type of the parameter from the first field. Currently supported types are "INT", "INTEGER", "FLOAT", "REAL", "DOUBLE", "LONG", "STRING" and "CHAR". It is easy to add additional types by simple modifications to Zoltan_Check_Param and Zoltan_Assign_Param_Vals. The fourth field is an integer that gives the dimension (length) of the parameter, if it is a vector parameter. Scalar parameters have dimension 0. The array is terminated by an item consisting of four NULL fields. See Zoltan_RCB_Set_Param for an example of how to set up this data structure. |
| result | Structure of information returned by Zoltan_Check_Param (defined in params/params_const.h). If param_name matches any of the parameter names from the first field of the params data structure, Zoltan_Check_Param attempts to decode the value in new_val. The type of the value is determined by the third field in the params data structure. If the value decodes properly, it is returned in result. |
| matched_index | If param_name matches, then matched_index returns the index into the params array that corresponds to the matched parameter name. The matched_index and result values allow the developer to check that values being assigned to parameters are valid. |
| Returned Value: | |
| int | 0 - param_name found in params data structure and new_val
decodes OK.
1 - param_name not found in params data structure. 2 - param_name found in params data structure but new_val doesn't decode properly. |
| Arguments: | |
| params | The data structure describing the domain-specific parameters to be matched against. The data structure is an array of items, each of which consists of four fields. The first field is a string that is a capitalized name of a parameter. The second field is an address that is unused in Zoltan_Check_Param, but is used in Zoltan_Assign_Param_Vals. The third field is another capitalized string that indicates the type of the parameter from the first field. Currently supported types are "INT", "INTEGER", "FLOAT", "REAL", "DOUBLE", "LONG", "STRING" and "CHAR". It is easy to add additional types by simple modifications to Zoltan_Check_Param and Zoltan_Assign_Param_Vals. The fourth field is an integer that gives the dimension (length) of the parameter, if it is a vector parameter. Scalar parameters have dimension 0. The array is terminated by an item consisting of four NULL fields. |
| name | A capitalized string containing the name of the parameter being modified. |
| var | A pointer to the variable you wish to associate with the parameter name name. The pointer should be type cast to a void pointer. The user is responsible for ensuring that the pointer really points to a variable of appropriate type. A NULL pointer may be used to "unbind" a variable such that it will not be assigned a value upon future calls to Zoltan_Assign_Param_Vals. |
| Returned Value: | |
| int | Error code. |
Same as Zoltan_Bind_Param, but for vector parameters. The additional parameter dim gives the dimension or length of the vector parameter.
| Arguments: | |
| change_list | The linked list of parameter names and values which is constructed by Zoltan_Set_Param and is a field of an Zoltan_Struct data structure (defined in params/param_const.h). |
| params | The data structure (defined in params/params_const.h) describing the domain-specific parameters to be matched against. The data structure is an array of items, each of which consists of three fields. The first field is a string which is a capitalized name of a parameter. The second field is an address of the parameter which should be altered. The third field is another capitalized string which indicates the type of the parameter being altered. Currently supported types are "INT", "INTEGER", "FLOAT", "REAL", "DOUBLE", "LONG", "STRING" and "CHAR". It is easy to add additional types by simple modifications to Zoltan_Check_Param and Zoltan_Assign_Param_Vals. The array is terminated by an item consisting of three NULL fields. |
| debug_level | Zoltan debug level. (Normally this is zz->Debug_Level.) |
| my_proc | Processor number. (Normally this is zz->Proc.) |
| debug_proc | Processor number for debugging. (Normally this is zz->Debug_Proc.) |
| Returned Value: | |
| int | Error code. |
| Arguments: | |
| param_list | A pointer to a list (array) of parameters to be freed. PARAM_LIST is defined in params/param_const.h. |


Soc Forms Responsive form styling Wrap
Soc Forms are built upon the Bootstrap form style. The 'soc-form' is simplified however, in stead of using different bootstrap classes to style your form, only a single 'soc-form' class must be added to the form element. This will create a horizontal form on large screens and change itself to a vertical one on smaller devices.
Guidelines for implementation
- Wrap entire form in a form element with the 'soc-form' class set
- Wrap label and its corresponding input element in a div
- Wrap the input element in a div as well
- Add one or more buttons at the end of the form
- It is recommended to always combine inputs with labels because screen readers might have trouble with the form if they are omitted
- Don't apply css classes to any of the elements within the form
Style options are available to change details of the form. Use the following classes next to 'soc-form' to change the form:
- 'inline': Creates a compact inline form
- 'compact': Uses narrower elements (cannot be used together with inline)
- 'btn-left': Places the buttons on the left hand side
- 'hidden-labels': Removes the labels from screen but keeps them for screenreaders
Regular form
emmet:
form.soc-form>(div>(label[for="i$"]{Label $}+div>input#i$[type="text" placeholder="item $"]))*4+button[type="submit"]{Save}
Inline form with hidden labels
emmet:
form.soc-form.inline.hidden-labels>(div>(label[for="i$"]{Label $}+div>input#i$[type="text" placeholder="item $"]))*4+button[type="submit"]{Save}
Compact form with buttons on the left
emmet:
form.soc-form.compact.btn-left>(div>(label[for="i$"]{Label $}+div>input#i$[type="text" placeholder="item $"]))*4+button[type="submit"]{Save}+button.btn-danger{Cancel}


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Thank you for visiting my portfolio site, I hope you enjoyed yourself. Look forward to more content on the way, but also remember that I am still learning, and interested in making more to show. If you have any ideas or feedback, send me a message. I have my contact information at the bottom of every page, or you can leave a message using the form below.
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In this form, you can send me a message, I would love to hear from you. Send a message or you can contact me via Facebook, Twitter or LinkedIn.


|
KlusterKite
0.0.0
A framework to create scalable and redundant services based on awesome Akka.Net project.
|
Request to process some data action More...
Public Attributes | |
| object | ConsistentHashKey => this.Id.GetHashCode() |
| The consistent hash key of the marked class. More... | |
Properties | |
| EnActionType | ActionType [get, set] |
| Gets or sets the type of request More... | |
| TId | Id [get, set] |
| Gets or sets the identification of object. More... | |
| TData | Data [get, set] |
| Gets or sets the object itself. More... | |
| ApiRequest | ApiRequest [get, set] |
| Gets or sets the original ApiRequest. Optional. More... | |
| RequestContext | RequestContext [get, set] |
| Gets or sets the original requester description More... | |
| byte [] | ExtraData [get, set] |
| Gets or sets some extra data, that will be returned with the response More... | |
Request to process some data action
| TData | The type of data object |
| TId | The type of data object identification |
Definition at line 24 of file CrudActionMessage.cs.
| object KlusterKite.Data.CRUD.ActionMessages.CrudActionMessage< TData, TId >.ConsistentHashKey => this.Id.GetHashCode() |
The consistent hash key of the marked class.
Definition at line 34 of file CrudActionMessage.cs.
|
getset |
Gets or sets the type of request
Definition at line 29 of file CrudActionMessage.cs.
|
getset |
Gets or sets the original ApiRequest. Optional.
Definition at line 51 of file CrudActionMessage.cs.
|
getset |
Gets or sets the object itself.
Definition at line 46 of file CrudActionMessage.cs.
|
getset |
Gets or sets some extra data, that will be returned with the response
Definition at line 65 of file CrudActionMessage.cs.
|
getset |
Gets or sets the identification of object.
Definition at line 40 of file CrudActionMessage.cs.
|
getset |
Gets or sets the original requester description
This can be used for further authorization checks
Definition at line 59 of file CrudActionMessage.cs.


When you work with us, you are part of a team of commited collaborators.
All aspects of our software development process are intergrated , interactive
and agile.
Our approach unifies design, development and product managent to create
exceptional products.We start each project by understanding your business goals, the
users needs and the product requirements.we help translate them into active and elegant solutions.
Before we sign a contract or write a line of code, our team will spend the neccessary time needed to
understand your product vission.
The outcome of the scoping session a proposal or high-level statement of work.
based on your requirements, we can provide a complete offering or just the piece you need.
Our design practice offers a full range of services including brand strategy, interaction and visual design and user experience testing. Throughout your project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise, mobile and web development technologies. They collaborate with your team to write, and improve code on a daily basis, using proven practices such as test-driven development and pair programming.
Planning and development is iterative. Because we are constantly coding and testing, the products we build are always ready to go live. This iterative process allows for changes as business requirements evolve.
Black studio.
Ontario Security.
Diamonds resource.
Jim Carey.
Elexa.
Calculator.
Burned.
Girrafe restaurant.


Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
+55 11 98765 4321
@minhalojinhanainternet
@minhalojinhanainternet
@minhalojinhanainternet


--- layout: post title: Elton John said in a statement on Thursday that Ms. Summer should be in the Rock and Roll Hall of Fame, an honor that eluded her. “Her records sound as good today as they ever did,” he said. “That she has never been inducted into the Rock and Roll Hall of Fame is a total disgrace, especially when I see the second-rate talent that has been inducted.” date: '2012-05-17T13:27:58-07:00' tags: tumblr_url: http://alexhwilliams.tumblr.com/post/23244413781/elton-john-said-in-a-statement-on-thursday-that ---
Elton John said in a statement on Thursday that Ms. Summer should be in the Rock and Roll Hall of Fame, an honor that eluded her. “Her records sound as good today as they ever did,” he said. “That she has never been inducted into the Rock and Roll Hall of Fame is a total disgrace, especially when I see the second-rate talent that has been inducted.”—Donna Summer, Queen of Disco, Dies at 63 - NYTimes.com


I'm sorry I didn't get to see that video sooner, it was really just what I needed.I feel like DBC should move it up in the curriculum a bit for sure to help everyone get the most out of their prep time.
Shereef's talk was really moving to me because I get really anxious whenever I see other people's code and so I tend to avoid it. Shereef did a great job of describing how negatively that impacts me and the importance of working with others as a developer. I think that part of it is that I'm coming in with a fixed view of intelligence and I need to figure out how to fix it. It's not just okay to struggle and work hard, to expose your ignorance, it's necessary, because that's how someone really grows. What really makes someone successful is their attitude and their effort, and if I can just maintain that mantra, I feel like I'll really get a lot out of this experience.


Cat Shop
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Welcome to Cat Shop!
Buy Cat Products Here
Welcome to Cat Shop!
Buy Cat Products Here
Welcome to Cat Shop!
Buy Cat Products Here
Welcome to Cat Shop!
Buy Cat Products Here
Dry Food
Wet Food
Food Pouches
Cat Food
Treat your cat to some healthy snacks.
Auto Feeders
Bowls
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Show your cat some love.
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Total price: $


In order to encode a note, all relevant information needs to be recorded in machine-readable form. Depending
on a project's needs, the selection of what is relevant and what is not may differ, but for the purpose of
this introduction, let's agree on the most basic information of a note: It's written pitch and duration. In
order to express pitch, MEI uses
Scientific Pitch Notation,
where the so-called middle-C is expressed as "C4". However, it separates that into two separate pieces of
information: The pitch name (in MEI called @pname
), and the octave (@oct
). This separation has
various reasons, which are of no importance here. It is also important to note that pitch names are given as
lower-case strings in MEI.
The other important information is, of course, duration (@dur
). Here, simple integer values are used
to indicate the duration of a note. A full note gets a value of 1
, a half note needs 2
,
a quarter 4
and so on.
We would like to ask you to enter the following code into the editor box:
<note pname="e" oct="4" dur="4"/>
. You should then see the note rendered. You may play a little
bit with the attribute values to see how they influence the rendering. You will also see hints on how to write the
correct code. Whenever you're ready, make sure to have the correct code in the editor, and then hit the "continue"
button on the lower right.
PS: If you're not too familiar with XML: Whenever we refer to attributes, we prepend their name with the @-sign. This is common practice and originates in the XPath language. When writing them in XML, you must not include the @-sign, but write the attribute's name only. Feel free to have a look at our tutorial on XML basics.


Hauser leads Portland St. over San Jose St. 91-76
SAN JOSE, Calif. (AP) - Matt Hauser had a career-high 24 points as Portland State beat San Jose State 91-76 on Saturday night.
Holland Woods had 18 points and 11 assists for Portland State (2-3). Alonzo Walker added 13 points and nine rebounds. Chris Whitaker had 11 points for the road team.
Rich Washington had 18 points and eight rebounds for the Spartans (3-3). Seneca Knight added 17 points. Zach Chappell had 17 points.
Craig LeCesne, who was second on the Spartans in scoring entering the matchup with 11 points per game, shot only 17 percent in the game (1 of 6).
Portland State plays Grambling State on Tuesday. San Jose State plays Oregon State on Wednesday.
More AP college basketball: https://apnews.com/Collegebasketball and https://twitter.com/AP_Top25
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


WRAL data interactives
This is how the data team at WRAL News organizes recurring code for its interactives, visualizations and applications.
Note: Although most of the code instructions contained on these pages will be specific for WRAL's content management system, feel free to make use of the code for the demos on the page (for example, by viewing the page's source).
Responsive mapping
Leaflet
A javascript library for creating interactive, detailed maps using tile layers.
D3
A javascript library for visualization using HTML, CSS and SVG.
Charts/graphics
Loading external data
Common data/resources
Guiding principles
• Data look better naked
• Internal consistency is crucial
• Advice from NYT Deputy Graphics Director Archie Tse:
- If you make the reader click or do anything other than scroll, something spectacular has to happen
- If you make a tooltip or rollover, assume no one will see it. If content is important for readers to see, don't hide it
- When deciding whether to make something interactive, remember that getting it to work on all platforms is expensive
Responsive tables
Quizzes
Live examples
Other inspiration
Docs docs docs
Questions? Contact Tyler Dukes.


---
layout: post
title: MUA Mega Volume Mascara
tags:
- Black
- Budget
- Define
- Eye makeup
- Make Up Academy
- Make Up Academy(MUA)
- Mascara
- MUA
- SmudgeProof
- Volume
- Waterproof
status: publish
type: post
published: true
meta:
_edit_last: '2'
_aioseop_title: MUA mega volume mascara review
_aioseop_keywords: MUA mega volume mascara review
_yoast_wpseo_metakeywords: ''
_yoast_wpseo_linkdex: '88'
_yoast_wpseo_focuskw: MUA Mega Volume Mascara
_yoast_wpseo_title: MUA Mega Volume Mascara - Miss Enchanted
_yoast_wpseo_metadesc: MUA Mega Volume Mascara
_yoast_wpseo_meta-robots-noindex: '0'
_yoast_wpseo_meta-robots-nofollow: '0'
_yoast_wpseo_meta-robots-adv: none
_yoast_wpseo_sitemap-include: ! '-'
_yoast_wpseo_sitemap-prio: ! '-'
_yoast_wpseo_canonical: ''
_yoast_wpseo_redirect: ''
_thumbnail_id: '5252'
---
MUA Mega Volume Mascara Review
Mascara is a staple product in my vanity, I do not step outside without a khol and a mascara since it seems so unnatural. I did a mini MUA haul sometime back and had picked up MUA Mega Volume Mascara for my love for mascara again...
Price: £3 for (Approximately Rs.240)
Packaging is very similar to Maybelline Colossal volume Mascara, but in a pretty pink color. The wand is decently sized and one swipe is enough to cover complete lash length. The handle is also comfortably long,
The formula is pigmented and does not clump or stick the eye lashes.
More than creating a volume look it defines the lashes and make them look natural and black. But I could achieve a slight volume after 3-4 coats.
Don't expect much of curling action or volume. Its a decent mascara which dries up very quickly, defines lashes, is waterproof and does not harm my eyes.
For the price tag this is a very good Mascara and I would definitely recommend it if your are looking for something more defining than volumizing.
Which is your favorite Mascara ?


In 2014 as a Junior in High school, I started LITAS (Learning IT, Applications, and Software) for Girls as an after-school club to not only teach girls coding, but to help them apply coding to solve real problems in their own lives. The club was so successful that I turned it into a nonprofit.
Today, LITAS is an international nonprofit-- with chapters in the US and India working ardently to bridge the gender gap in CS + STEM. LITAS helps middle and high school girls code with a purpose through summer incubators, technology showcases, mentoring, and after-school clubs.
Last summer, I had the opportunity to travel to Haryana, India to kickstart our international LITAS movement. I'm a prolific blogger, so you can read all about my experiences on Medium or LinkedIn.


[1]
all in all it was some noise from sirens and traffic during the night but i probably would n't stay here again would.
[2]
all in all it was ok for a night but i probably would n't stay here again would try the campanile or a different location.


My Neighborhood
Learning, Building, Sharing
Open San Diego
August 17, 2015
Carol Willing
Geek-in-Residence, FabLab San Diego
Director, Python Software Foundation
Developer, Willing Consulting
Programming a basic website
# "A quick website to say welcome"
from flask import Flask
app = Flask(__name__)
@app.route("/")
def welcome():
return "Welcome to Open San Diego"
if __name__ == "__main__":
app.run()
Serving your community
# "A quick website to say welcome"
from flask import Flask
app = Flask(__name__)
@app.route("/")
def welcome():
message_today = "Too hot? Visit http://www.211sandiego.org for cool zones."
return "Welcome to Open San Diego. " + message_today
if __name__ == "__main__":
app.run()
Learning. Building. Sharing.
Who?
Magic internet pixies
Rockstar programmers
Unicorns
Code for America
People 🌅
Participation 🌅
Plans 🌅
Partnerships
People
Remember the tortoise!
People
Code of Conduct
Prominently displayed
Every event and website
People
No feigning surprise
No well-actuallys
No back-seat driving
No subtle -isms
Participation
Jargon
and ego
I am Wile E. Coyote, super genius
Participation
Fun and Creative
Planning
"Many hands" motto
Planning
Be visible.
Encourage gently. User groups.
Every contribution is a valuable one.
Say thank you and publicly recognize contributors.
Partnerships
Be bold.
Move beyond "It's always been done that way."
Challenge self doubts "I'm too ..." and "I can't..."
Seek input from those directly served.
Partnerships
Small projects grow into larger successes.
Listen. Really listen.
Respect the time of others.
Life happens. On ramps and off ramps.
Be humble. Remember the project's goal.
Communicate.
Automate the things.
Create flow.
How do we talk to people?
Communication tools
IRC, Discourse, Slack, email, social media, group chats, meetings
In-person conversation and phone calls underused
Automate the things.
Testing and CI/CD (Continuous Integration/Continuous Deployment)
Jenkins, Travis, Coverage, CircleCI
Use version control software. Transparency.
GitHub, Bitbucket, GitLab
Samples
Interact and engage
Hour of Code 2014
Empower
National Day of Civic Hacking 2015
Change
Bone health and Water conservation projects
Ways to learn more...
Get involved
SD Javascript, SD Ruby, GeekGirl, GirlDevelopIt, DjangoGirls and more
Ask questions
I want learning, building, and sharing in my San Diego neighborhood
to increase access to community mental health resources.


This example shows how the GGL can be combined with non-numeric value types such as from the Numeric Adaptor
// Boost.Geometry (aka GGL, Generic Geometry Library) // // Copyright Barend Gehrels 2007-2009, Geodan, Amsterdam, the Netherlands // Copyright Bruno Lalande 2008, 2009 // Use, modification and distribution is subject to the Boost Software License, // Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at // http://www.boost.org/LICENSE_1_0.txt) // Numeric Adaptor Example // The Numeric Adaptor is introduced to the Boost mailing list // It is a proxy to high precision arithmetic libraries such as gmp // However, it might be that the same effect can be used using the // Boost.Math bindings. // To build and run this example: // 1) download gmp, it should be somewhere in the include path // 2) download numeric_adaptor from the Boost.Sandbox #include <iostream> #include <iomanip> #include <typeinfo> #include <boost/numeric_adaptor/numeric_adaptor.hpp> #include <boost/numeric_adaptor/gmp_value_type.hpp> #include <boost/geometry/geometry.hpp> #include <boost/geometry/geometries/cartesian2d.hpp> template <typename Type, typename AssignType> void calculate(AssignType const& x1, AssignType const& y1, AssignType const& x2, AssignType const& y2, AssignType const& x3, AssignType const& y3 ) { // gmp can be used instead of "double" for any point type typedef boost::geometry::point_xy<Type> point_type; point_type a, b, c; boost::geometry::assign(a, boost::to<Type>(x1), boost::to<Type>(y1)); boost::geometry::assign(b, boost::to<Type>(x2), boost::to<Type>(y2)); boost::geometry::assign(c, boost::to<Type>(x3), boost::to<Type>(y3)); boost::geometry::linear_ring<point_type> r; r.push_back(a); r.push_back(b); r.push_back(c); r.push_back(a); // What also is possible is define point coordinates using IEEE double, // but doing calculations using the gmp type. // To do that, specify the strategy explicitly Type ab = boost::geometry::distance(a, b); Type bc = boost::geometry::distance(b, c); Type ca = boost::geometry::distance(c, a); std::cout << std::endl << typeid(Type).name() << std::endl; std::cout << "a-b: " << ab << std::endl; std::cout << "b-c: " << bc << std::endl; std::cout << "c-a: " << ca << std::endl; std::cout << "area: " << boost::geometry::area(r, boost::geometry::strategy::area::by_triangles<point_type, Type>()) << std::endl; // Heron formula is "famous" for its imprecision. It should give // same result as area, but is sensible for rounding errors. Type s = ab + bc + ca; s /= 2.0; Type ar = boost::sqrt(s * (s - ab) * (s - bc) * (s - ca)); std::cout << "heron: " << ar << std::endl; // Area's given: // float:<PHONE_NUMBER>9140625 // double:<PHONE_NUMBER>7406990554591 // long double:<PHONE_NUMBER>7406991376156 // GMP: 0.74074073407407e3 (right!) // SQL Server:<PHONE_NUMBER>52642 // Postgis:<PHONE_NUMBER>7407 (might be rounded from (long) double) // MySQL:<PHONE_NUMBER>7406991000000 } int main(int argc, char *argv[]) { typedef boost::numeric_adaptor::gmp_value_type type; //typedef long double type; // gmp can be used instead of "double" for any point type typedef boost::geometry::point_xy<type> point_type; // Points, polygons or other geometries are gmp now point_type p; // They can be used normally boost::geometry::set<0>(p,<PHONE_NUMBER>0001); std::cout << "x coordinate: " << boost::geometry::get<0>(p) << std::endl; // But the value above cannot be expressed with that precision in IEEE 64 bits. // Points can therefore also be assigned by string with boost::geometry::set // (boost::to is a converser included in the Numeric Adaptor sources) boost::geometry::set<0>(p, boost::to<type>(std::string("123456.78900001"))); // and streamed (as a string representation) std::cout << "x coordinate: " << boost::geometry::get<0>(p) << std::endl; // The boost::geometry::assign function also supports custom numeric types point_type p1, p2; boost::geometry::assign(p1, boost::to<type>(std::string("123456.78900001")), boost::to<type>(std::string("234567.89100001"))); boost::geometry::assign(p2, boost::to<type>(std::string("987654.32100001")), boost::to<type>(std::string("876543.21900001"))); type d = boost::geometry::distance(p1, p2); std::cout << "Exact distance: " << d << std::endl; // It gives: 0.1076554<PHONE_NUMBER>6783e7 // my calculator gives: 1076554.5485833955678294387789057 // CLN gives : 1076554.5485833955 // All algorithms will automatically use the gmp-type // We show and compare that in the calculate function, with type and // assigning type as template parameters std::cout << std::fixed << std::setprecision(20); calculate<float>(0.0, 0.0, 0.0, 0.0012, 1234567.89012345, 0.0); calculate<double>(0.0, 0.0, 0.0, 0.0012, 1234567.89012345, 0.0); calculate<long double>(0.0, 0.0, 0.0, 0.0012, 1234567.89012345, 0.0); calculate<type, std::string>("0.0", "0.0", "0.0", "0.0012", "1234567.89012345", "0.0"); return 0; }
|
December 1, 2009 |
Copyright © 1995-2009 Barend Gehrels, Geodan, Amsterdam Copyright © 2008-2009 Bruno Lalande, Paris Copyright © 2009 Mateusz Loskot, Cadcorp, London |


The Ranadu function “plotSD()” displays the size distribution measured by various probes that produce arrays of measurements. The data.frame containing these measurements is special in that the column corresponding to a variable name like “CCDP_RPC” is a two-dimensional vector. This makes the data.frame inconsistent with the “tidy” structure and with the structure required for a “tibble”, so some special considerations are required if an analyst wants to use only tidy data. In this section, those considerations are not discussed further because the “plotSD()” function assumes Ranadu-style data.frame conventions.
“Ranadu::getNetCDF()” accepts variable names like “CCDP_”, in which case it searches for the first variable starting with that name. This avoids the need to know the location of the CDP probe in various projects. However, if there are multiple probes with the same prefix name, they need to be specified in the variable list used to construct the data.frame.
An example, Fig. , shows code that will construct a plot of the size distribution from several probes. The “exceedance” is added when the argument “CDF=TRUE” is used; it is the complement to a cumulative distribution and shows the fraction of particles that exceed the plotted size. The four numbers returned from the function are the mean concentration, mean diameter, standard deviation in the diameter, and liquid water content under the assumption that all particles are liquid. It is also possible to construct a plot of the distribution in liquid water content, as shown in Fig. . See “?Ranadu::plotSD” for more options including alternate specification of the size limits, bins to include, and log vs linear axes.
selectTime(173000, 173500) %>%
plotSD(CellLimits=NA, logAxis='xy', CDF=TRUE)
## [1]<PHONE_NUMBER> 2.0525220 7.2263178 0.4802542
selectTime(173000, 173500) %>%
plotSD(CellLimits=NA, logAxis='xy', LWC=TRUE, CDF=TRUE)
## [1]<PHONE_NUMBER> 2.0525220 7.2263178 0.4802542


Before Change
)
points = [(0, 0), (0, 0)]
assert np.allclose(
recoverer._remove_consecutive_duplicate_points(points),
[(0, 0)],
atol=1e-8, rtol=0
)
points = [(0, 0), (0, 0), (1, 0)]
assert np.allclose(
recoverer._remove_consecutive_duplicate_points(points),
After Change
[(0, 0), (1, 0), (2, 0)]
]
for points_i, expected_i in zip(points, expected):
with self.subTest(points=points_i):
points_deduplicated = \
recoverer._remove_consecutive_duplicate_points(points_i)
assert np.allclose(points_deduplicated, expected_i)
// TODO split into multiple tests
def test__jitter_duplicate_points(self):
def _norm(a, b):
return np.linalg.norm(np.float32(a) - np.float32(b))


{% extends "template.html"%} {% block stylesheets %} {% endblock %} {% block content %} Cats 'n' Dogs Inspector Sign up for your free Cats and Dogs Classifier online, or take a look at the Demo. At least 8 characters and 1 digit Optional - for two step authentication Subscribe to our newsletter Sign up Or click Log in if you already have an account. By clicking Sign up you agree to our terms of service. {% endblock %} {% block scripts %}{% endblock %}
Cats 'n' Dogs Inspector
Sign up for your free Cats and Dogs Classifier online, or take a look at the Demo.
Or click Log in if you already have an account.
By clicking Sign up you agree to our terms of service.


WITNESS LIST Finance Committee (Subcommittee on Article 3 Agencies (Education)) January 28, 1998-1:00P A&M Baylor College of Dentistry On: Buchanan, Richard N. (TAMUSBCD), Dallas A&M Health Science Center On: Friedland, Michael L. (TAMUHSC), College Station Venuti, Douglas P. (TAMUHSC), College Station Registering, but not testifying: On: Dyck, Walter P. (TAMUHSC), College Station Smith, Elvin E. (TAMUHSC), College Station Texas Tech Health Science Center On: Smith, David (TTUHSC), Lubbock Registering, but not testifying: On: Harkey, Penny (TTUHSC), Lubbock UNT Health Science Center Ft. Worth On: Richards, David M. (UNTHSC Ft. Worth), Ft. Worth Russell, Steve L. (UNTHSC Ft. Worth), Ft. Worth Registering, but not testifying: On: Cohen, Benjamin L. (UNTHSC Ft. Worth), Ft. Worth Gonzalez, Adela N. (UNTHSC Ft. Worth), Ft. Worth UT Health Center at Tyler On: Kilday, Dennis (UTHC Tyler), Tyler Registering, but not testifying: On: Cunningham, William H. (UT System), Austin UT Health Science Center at Houston On: Porretto, John (UTHSC Houston), Houston Registering, but not testifying: On: Ansell, Terry (UTHSC Houston), Houston Cunningham, William H. (UT System), Austin UT M.D. Anderson Cancer Center On: Mendelsohn, John (UT MD Anderson), Houston Registering, but not testifying: On: Cunningham, William H. (UT System), Austin Leach, Leon J. (UT MD Anderson), Houston UT Medical Branch at Galveston On: Calhoun, Jason H. (UTMB Galveston), Galveston Moore, Richard S. (UTMB Galveston), Galveston Registering, but not testifying: On: Cunningham, William H. (UT System), Austin UT Southwestern Med Ctr Dallas On: Wildenthal, Kern (UT Southwestern Med Ctr), Dallas Registering, but not testifying: On: Cunningham, William H. (UT System), Austin


Next: Singular Value Decomposition (SVD)
Up: Standard Eigenvalue and Singular
Previous: Symmetric Eigenproblems (SEP)
  Contents
  Index
The nonsymmetric eigenvalue problem is to find the eigenvalues,
,
and corresponding eigenvectors, ,
such that
A real matrix A may have complex eigenvalues, occurring as complex conjugate
pairs. More precisely, the vector v is called a right
eigenvector of A, and a vector
satisfying
is called a left eigenvector of A.
This problem can be solved
via the Schur factorization of A,
defined in the real case as
A = ZTZT,
where Z is an orthogonal matrix and T is an upper quasi-triangular matrix
with 1-by-1 and 2-by-2 diagonal blocks, the 2-by-2 blocks
corresponding to complex conjugate pairs of eigenvalues of A. In the complex
case the Schur factorization is
A = ZTZH,
where Z is unitary and T is a complex upper triangular matrix.
The columns of Z are called the Schur vectors.
For each k
,
the first k columns of Z form an orthonormal
basis for the invariant subspace corresponding to the
first k eigenvalues on the diagonal of T. Because this
basis is orthonormal, it is preferable in many
applications to compute Schur vectors rather than
eigenvectors. It is possible to order the Schur
factorization so that any desired set of k eigenvalues
occupy the k leading positions on the diagonal of T.
Two pairs of drivers are provided, one pair focusing on the Schur
factorization, and the other pair on the eigenvalues and eigenvectors
as shown in Table 2.5:
- xGEES: a simple driver that computes all or part of the Schur
factorization of A, with optional ordering of the eigenvalues;
- xGEESX: an expert driver that can additionally compute condition
numbers for the average of a selected subset of the eigenvalues, and for
the corresponding right invariant subspace;
- xGEEV: a simple driver that computes all the eigenvalues of A,
and (optionally) the right or left eigenvectors (or both);
- xGEEVX: an expert driver that can additionally balance the
matrix to improve the conditioning of the eigenvalues and eigenvectors,
and compute condition numbers for the eigenvalues or right eigenvectors
(or both).
Next: Singular Value Decomposition (SVD)
Up: Standard Eigenvalue and Singular
Previous: Symmetric Eigenproblems (SEP)
  Contents
  Index
Susan Blackford
1999-10-01


{% extends '_layouts/layout_2-3.html' %} {% block page_title %} Diabetes symptoms and conditions NHS.UK {% endblock %} {% block pageTitle %} Book an appointment at Sherburn Group Practice {% endblock %} {% block pageIntro %} {% endblock %} {% block content %}
Reception opening hours
If you’ve registered with your GP’s online services, you’ll get a username and password.
You will need these to log on and book an appointment.
You must register with your GP’s online services to book an appointment online.
Ask your practice for a registration form.
You’ll also need to show photo ID and proof of address.
{% endblock %} {% block emergencyContent %} {% endblock%} {% block mutedCallout%} {% endblock%} {% block body_after %} {% endblock %}


Setup¶
Before runnung MicroExonator there are several files that needs to be created inside MicroExonator/
root folder:
RNA-seq samples¶
Input RNA-seq data either a local_samples.tsv
, NCBI_accession_list.txt
or sample_url.tsv
needs to be defined.
If you want to run MicroExonator over RNA-seq samples that are locally stored, they need to be defined inside local_samples.tsv
.
MicroExonator can also download and run samples from NCBI if the corresponding SRA accession names are defined inside of NCBI_accession_list.txt
,
in addition any fastq.gz
that can be directly download from a URL can be included into the aalysis by defining them inside a sample_url.tsv
.
You can find examples of these files inside the Examples/
folder.
Is posible to combine different types of input sources, but at least one of these files needs to be defined inside MicroExonator/
root folder.
Cluster configuration¶
If you are working on a high performace cluster, then it is very likely that you need to submit jobs to queueing systems such as lsf, qsub, SLURM, etc.
To make MicroExonator work with these queueing systems, you need to create a cluster.json file.
We currently provide in the Examples folder a cluster.json
file to run MicroExonator with lsf.
To adapt MicroExonator to other quequing systems please see the SnakeMake documentation.
Config file¶
Each MicroExonator’s module has certain compulsory and optional parameters that needs to be defined inside a config.yaml
file.
The necesary content of config.yaml
is described on each moudle section and examples can be found at the Examples/
folder.


EasyJet to offset carbon emissions from all flights
British budget airline easyJet on Tuesday said it will become the world’s first major airline to operate net-zero carbon flights across its whole network by offsetting the emissions from flying, Reuters reports.
The airline said that it would cost around 25 million pounds (US$32.39 million) to offset the emissions in the next financial year through schemes to plant trees or avoid the release of additional carbon dioxide, though chief executive Johan Lundgren said that longer-term solutions were also needed.
“We recognize that offsetting is only an interim measure, but we want to take action on our carbon emissions now,” he said.
The announcement came as it reported full-year results for the year ending Sept. 30 in line with previous guidance.
EasyJet said headline profit before tax was 427 million pounds, compared to guidance last month of a figure of between 420 million pounds and 430 million pounds. That was down 26 percent due to rising fuel prices and a tough operating environment.
The airline said that forward bookings for the first half of the 2020 financial year were “reassuring” and slightly ahead of last year, reiterating that capacity growth will be towards the lower end of historic guidance between 3 percent and 8 percent.
The company said easyJet Holidays will launch in Britain before Christmas, and will break even in the year to September 2020.
It added that it expects to fly routes from airport take-off and landing slots at Gatwick and Bristol, acquired in the wake of the collapse of travel firm Thomas Cook, as early as February 2020.
– Contact us at<EMAIL_ADDRESS>CG


The area enclosed by the bounding box.
A method that should be called from every well-designed equals method that is open to be overridden in a subclass.
The center of the bounding box.
Clamp the given point to the bounds of the box.
Builds a new bounding box by apply a function to the corresponding corners of this and another bounding box.
The local coordinate of a world position.
Whether another bounding box is within a the standard epsilon of this bounding box.
Whether another bounding box is within a given epsilon of this bounding box.
Tests whether a predicate holds true for the corresponding corners of this and another bounding box.
Tests whether a predicate holds true for both corners this bounding box.
Tests whether a predicate holds true for either of the corresponding corners of this and another bounding box.
Tests whether a predicate holds true for either corner of this bounding box.
Applies a function to both corners of this bounding box.
Applies a function to both corners of this bounding box.
The function that is applied for its side-effect only each corner.
Create a bounding box which grows (or shrinks) the current bounding box by the given amount.
Create a bounding box which grows the current bounding box to contain the given position.
The bounding box of the region shared with the given bounding box, if any.
Whether the given bounding box shares any volume with this bounding box.
Whether the given point in inside of the bounding box.
Whether any components are Not-a-Number (NaN).
Whether any components are Not-a-Number (NaN).
Builds a new bounding box by applying a function to each corner of this bounding box.
Builds a new bounding box who's corners are the maximum of the corresponding corners of this and another bounding box.
Builds a new bounding box who's corners are the minimum of the corresponding corners of this and another bounding box.
The world position of a local coordinate.
Generate a random position inside the bounding box.
Generate a random position inside the bounding box.
The random number generator to use.
Generate a random position inside the bounding box.
The range of the bounding box.
Reduces the corners of this bounding box using the specified associative binary operator.
Split a bounding box along the coordinate [0, 1) of the given dimension.
Split a bounding box along the midpoint of the given dimension.
Convert to a 1-dimensional bounding box.
Convert to a 2-dimensional bounding box.
Convert to a 3-dimensional bounding box.
Convert to a more compact String representation.
Create a bounding box which contains the volume of both this and the given bounding box.


{% extends "global/Page.html" %} {% load otree static %} {% block title %} Results {% endblock %} {% block content %} {% if group.contract_accepted %}
{% if player.role == 'agent' %} You accepted the contract. {% else %} Participant B accepted your contract. {% endif %}
| Fixed payment | Return share | Effort Level | Effort Cost | Total Return | You Received |
|---|---|---|---|---|---|
| {{ group.agent_fixed_pay }} | {{ group.return_share_as_percentage }}% | {{ group.agent_work_effort }} | {{ effort_cost }} | {{ group.total_return }} | {{ received }} |
In addition to your initial {{ Constants.base_pay }}, your payoff is {{player.payoff}}.
{% else %}{% if player.role == 'agent' %} You rejected the contract. Thus you received {{ Constants.reject_agent_pay }}.  Thus you have received nothing. Your payoff equals initial {{player.payoff}}. {% endif %}
{% endif %}{% next_button %}
{% include Constants.instructions_template %} {% endblock %}


Welcome to Audio Effect Music
Enter your name to access your account
Go
Click on these buttons to enabale Audio Effect
Chorus
Delay
Overdrive
Tremolo
Phaser
Filter
Title
Artist
Album
Duration


---
layout: page
title: How to Create an Autoresponder Series with AWeber
permalink: /email/
---
Here, you will be given complete information on how to create an autoresponder series with AWeber. You know the complete procedure of the same.
If you want to grab success online, you first need to learn how to unveil the benefits of email marketing. There is no doubt that creating a list can help you grabbing desired results within a short span of time. This might be a reason why most of the digital marketers are looking for an autoresponder service. Here, one point should be noted that you need to choose a right service. Which is the best option? The simplest answer to this question is AWeber. Yes, with the help of this service, you can easily grab desired benefits of email marketing. But how it can be done? So, let’s check out step by step procedure on how to create an autoresponder series with AWeber.
Create Account
If you want to enjoy AWeber autoresponder series service, you first need to create an account on the same. For this, you need to follow stated below points.
- First you need to visit at the official website of AWeber.
- Here, you need to click on “Register” option.
- By clicking on “Register” option, you will reach at a new page.
- Here, you are required to enter certain information of you such as your full name, email address, contact number, etc.
- You also need to choose a user name and password.
- Once done, click on submit option.
- Now, you may need to verify your email address and contact details.
Process to Create an Autoresponsder Series with AWeber
- First of all, you need to log into your AWeber account.
- Once you logged into your account, you need to click on MESSAGES option.
- Now, choose the FOLLOW UP SERIES tab.
- You will be redirected to a new page where you should click on “create a follow up button”.
- Choose a right email builder option from given drop down menu.
- Here, you can easily draft an autoresponder series email.
- Write an email.
- Now, click on “next” option.
- You will be redirected to a new webpage.
- Here, you will find various settings for email campaign.
- It is highly suggested to create a welcome email for your subscribers.
- Now, you can click on “save and exit” option.
You will be taken to your
home page where you can see your very first autoresponder email series.


--- layout: page title: Help ---
Welcome to ProjectX.
At the end of this three minute video, you will know how-to:
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vignettes/parallel-processing.Rmd
parallel-processing.Rmd
Train
modeltime
models at scale with parallel processing
Fitting many time series models can be an expensive process. To help speed up computation, modeltime
now includes parallel processing, which is support for high-performance computing by spreading the model fitting steps across multiple CPUs or clusters.
In this example, we go through a common Hyperparameter Tuning workflow that shows off the modeltime
parallel processing integration and support for workflowsets
from the tidymodels ecosystem.
The modeltime
package (>= 0.6.1) comes with parallel processing functionality.
Use of parallel_start()
and parallel_stop()
to simplify the parallel processing setup.
Use of create_model_grid()
to help generating parsnip
model specs from dials
parameter grids.
Use of modeltime_fit_workflowset()
for initial fitting many models in parallel using workflowsets
from the tidymodels
ecosystem.
Use of modeltime_refit()
to refit models in parallel.
Use of control_fit_workflowset()
and control_refit()
for controlling the fitting and refitting of many models.
Let’s go through a common Hyperparameter Tuning workflow that shows off the modeltime
parallel processing integration and support for workflowsets
from the tidymodels ecosystem.
Load the following libraries.
# Machine Learning
library(modeltime)
library(tidymodels)
library(workflowsets)
# Core
library(tidyverse)
library(timetk)
The modeltime
package uses parallel_start()
to simplify setup, which integrates multiple backend options for parallel processing including:
.method = "parallel"
(default): Uses the parallel
and doParallel
packages.
.method = "spark"
: Uses sparklyr
. See our tutorial, The Modeltime Spark Backend.
I’ll set up this tutorial to use two (2) cores using the default parallel
package.
To simplify creating clusters, modeltime
includes parallel_start()
. We can simply supply the number of cores we’d like to use. To detect how many physical cores you have, you can run parallel::detectCores(logical = FALSE)
.
The .method
argument specifies that we want the parallel
backend.
parallel_start(2, .method = "parallel")
We could optionally run this tutorial with the Spark Backend. For more information, refer to our tutorial The Modeltime Spark Backend.
# OPTIONAL - Run using spark backend
library(sparklyr)
sc <- spark_connect(master = "local")
parallel_start(sc, .method = "spark")
We’ll use the walmart_sales_weeekly
dataset from timetk
. It has seven (7) time series that represent weekly sales demand by department.
dataset_tbl <- walmart_sales_weekly %>%
select(id, Date, Weekly_Sales)
dataset_tbl %>%
group_by(id) %>%
plot_time_series(
.date_var = Date,
.value = Weekly_Sales,
.facet_ncol = 2,
.interactive = FALSE
)
Use time_series_split()
to make a temporal split for all seven time series.
splits <- time_series_split(
dataset_tbl,
assess = "6 months",
cumulative = TRUE
)
splits %>%
tk_time_series_cv_plan() %>%
plot_time_series_cv_plan(Date, Weekly_Sales, .interactive = F)
Make a preprocessing recipe that generates time series features.
recipe_spec_1 <- recipe(Weekly_Sales ~ ., data = training(splits)) %>%
step_timeseries_signature(Date) %>%
step_rm(Date) %>%
step_normalize(Date_index.num) %>%
step_zv(all_predictors()) %>%
step_dummy(all_nominal_predictors(), one_hot = TRUE)
We’ll make 6 xgboost
model specifications using boost_tree()
and the “xgboost” engine. These will be combined with the recipe
from the previous step using a workflow_set()
in the next section.
We can vary the learn_rate
parameter to see it’s effect on forecast error.
# XGBOOST MODELS
model_spec_xgb_1 <- boost_tree(learn_rate = 0.001) %>%
set_engine("xgboost")
model_spec_xgb_2 <- boost_tree(learn_rate = 0.010) %>%
set_engine("xgboost")
model_spec_xgb_3 <- boost_tree(learn_rate = 0.100) %>%
set_engine("xgboost")
model_spec_xgb_4 <- boost_tree(learn_rate = 0.350) %>%
set_engine("xgboost")
model_spec_xgb_5 <- boost_tree(learn_rate = 0.500) %>%
set_engine("xgboost")
model_spec_xgb_6 <- boost_tree(learn_rate = 0.650) %>%
set_engine("xgboost")
You may notice that this is a lot of repeated code to adjust the learn_rate
. To simplify this process, we can use create_model_grid()
.
model_tbl <- tibble(
learn_rate = c(0.001, 0.010, 0.100, 0.350, 0.500, 0.650)
) %>%
create_model_grid(
f_model_spec = boost_tree,
engine_name = "xgboost",
mode = "regression"
)
model_tbl
#> # A tibble: 6 × 2
#> learn_rate .models
#> <dbl> <list>
#> 1 0.001 <spec[+]>
#> 2 0.01 <spec[+]>
#> 3 0.1 <spec[+]>
#> 4 0.35 <spec[+]>
#> 5 0.5 <spec[+]>
#> 6 0.65 <spec[+]>
We can extract the model list for use with our workflowset
next. This is the same result if we would have placed the manually generated 6 model specs into a list()
.
model_list <- model_tbl$.models
model_list
#> [[1]]
#> Boosted Tree Model Specification (regression)
#>
#> Main Arguments:
#> learn_rate = 0.001
#>
#> Computational engine: xgboost
#>
#>
#> [[2]]
#> Boosted Tree Model Specification (regression)
#>
#> Main Arguments:
#> learn_rate = 0.01
#>
#> Computational engine: xgboost
#>
#>
#> [[3]]
#> Boosted Tree Model Specification (regression)
#>
#> Main Arguments:
#> learn_rate = 0.1
#>
#> Computational engine: xgboost
#>
#>
#> [[4]]
#> Boosted Tree Model Specification (regression)
#>
#> Main Arguments:
#> learn_rate = 0.35
#>
#> Computational engine: xgboost
#>
#>
#> [[5]]
#> Boosted Tree Model Specification (regression)
#>
#> Main Arguments:
#> learn_rate = 0.5
#>
#> Computational engine: xgboost
#>
#>
#> [[6]]
#> Boosted Tree Model Specification (regression)
#>
#> Main Arguments:
#> learn_rate = 0.65
#>
#> Computational engine: xgboost
With the workflow_set()
function, we can combine the 6 xgboost models with the 1 recipe to return six (6) combinations of recipe and model specifications. These are currently untrained (unfitted).
model_wfset <- workflow_set(
preproc = list(
recipe_spec_1
),
models = model_list,
cross = TRUE
)
model_wfset
#> # A workflow set/tibble: 6 × 4
#> wflow_id info option result
#> <chr> <list> <list> <list>
#> 1 recipe_boost_tree_1 <tibble [1 × 4]> <opts[0]> <list [0]>
#> 2 recipe_boost_tree_2 <tibble [1 × 4]> <opts[0]> <list [0]>
#> 3 recipe_boost_tree_3 <tibble [1 × 4]> <opts[0]> <list [0]>
#> 4 recipe_boost_tree_4 <tibble [1 × 4]> <opts[0]> <list [0]>
#> 5 recipe_boost_tree_5 <tibble [1 × 4]> <opts[0]> <list [0]>
#> 6 recipe_boost_tree_6 <tibble [1 × 4]> <opts[0]> <list [0]>
We can train each of the combinations in parallel.
Each fitting function in modeltime
has a “control” function:
The control functions help the user control the verbosity (adding remarks while training) and set up parallel processing. We can see the output when verbose = TRUE
and allow_par = TRUE
.
allow_par: Whether or not the user has indicated that parallel processing should be used.
If the user has set up parallel processing externally, the clusters will be reused.
If the user has not set up parallel processing, the fitting (training) process will set up parallel processing internally and shutdown. Note that this is more expensive, and usually costs around 10-15 seconds to set up.
verbose: Will return important messages showing the progress of the fitting operation.
cores: The cores that the user has set up. Since we’ve already set up doParallel
to use 2 cores, the control recognizes this.
packages: The packages are packages that will be sent to each of the workers.
control_fit_workflowset(
verbose = TRUE,
allow_par = TRUE
)
#> workflowset control object
#> --------------------------
#> allow_par : TRUE
#> cores : 2
#> verbose : TRUE
#> packages : modeltime parsnip workflows dplyr stats lubridate tidymodels timetk rsample recipes yardstick dials tune forcats stringr readr tidyverse workflowsets tidyr tibble purrr modeldata infer ggplot2 scales broom graphics grDevices utils datasets methods base
We use the modeltime_fit_workflowset()
and control_fit_workflowset()
together to train the unfitted workflowset in parallel.
model_parallel_tbl <- model_wfset %>%
modeltime_fit_workflowset(
data = training(splits),
control = control_fit_workflowset(
verbose = TRUE,
allow_par = TRUE
)
)
#> Using existing parallel backend with 2 clusters (cores)...
#> Beginning Parallel Loop | 0.007 seconds
#> Finishing parallel backend. Clusters are remaining open. | 12.809 seconds
#> Close clusters by running: `parallel_stop()`.
#> Total time | 12.81 seconds
This returns a modeltime table.
model_parallel_tbl
#> # Modeltime Table
#> # A tibble: 6 × 3
#> .model_id .model .model_desc
#> <int> <list> <chr>
#> 1 1 <workflow> RECIPE_BOOST_TREE_1
#> 2 2 <workflow> RECIPE_BOOST_TREE_2
#> 3 3 <workflow> RECIPE_BOOST_TREE_3
#> 4 4 <workflow> RECIPE_BOOST_TREE_4
#> 5 5 <workflow> RECIPE_BOOST_TREE_5
#> 6 6 <workflow> RECIPE_BOOST_TREE_6
We can compare to a sequential backend. We have a slight perfomance boost. Note that this performance benefit increases with the size of the training task.
model_sequential_tbl <- model_wfset %>%
modeltime_fit_workflowset(
data = training(splits),
control = control_fit_workflowset(
verbose = TRUE,
allow_par = FALSE
)
)
#> ℹ Fitting Model: 1
#> ✓ Model Successfully Fitted: 1
#> ℹ Fitting Model: 2
#> ✓ Model Successfully Fitted: 2
#> ℹ Fitting Model: 3
#> ✓ Model Successfully Fitted: 3
#> ℹ Fitting Model: 4
#> ✓ Model Successfully Fitted: 4
#> ℹ Fitting Model: 5
#> ✓ Model Successfully Fitted: 5
#> ℹ Fitting Model: 6
#> ✓ Model Successfully Fitted: 6
#> Total time | 16.064 seconds
We can review the forecast accuracy. We can see that Model 5 has the lowest MAE.
model_parallel_tbl %>%
modeltime_calibrate(testing(splits)) %>%
modeltime_accuracy() %>%
table_modeltime_accuracy(.interactive = FALSE)
| Accuracy Table | ||||||||
|---|---|---|---|---|---|---|---|---|
| .model_id | .model_desc | .type | mae | mape | mase | smape | rmse | rsq |
| 1 | RECIPE_BOOST_TREE_1 | Test | 55572.50 | 98.52 | 1.63 | 194.17 | 66953.92 | 0.96 |
| 2 | RECIPE_BOOST_TREE_2 | Test | 48819.23 | 86.15 | 1.43 | 151.49 | 58992.30 | 0.96 |
| 3 | RECIPE_BOOST_TREE_3 | Test | 13426.89 | 21.69 | 0.39 | 25.06 | 17376.53 | 0.98 |
| 4 | RECIPE_BOOST_TREE_4 | Test | 3699.94 | 8.94 | 0.11 | 8.68 | 5163.37 | 0.98 |
| 5 | RECIPE_BOOST_TREE_5 | Test | 3296.74 | 7.30 | 0.10 | 7.37 | 5166.48 | 0.98 |
| 6 | RECIPE_BOOST_TREE_6 | Test | 3612.70 | 8.15 | 0.11 | 8.24 | 5308.19 | 0.98 |
We can visualize the forecast.
model_parallel_tbl %>%
modeltime_forecast(
new_data = testing(splits),
actual_data = dataset_tbl,
keep_data = TRUE
) %>%
group_by(id) %>%
plot_modeltime_forecast(
.facet_ncol = 3,
.interactive = FALSE
)
We just showcased a simple Hyperparameter Tuning example using Parallel Processing. But this is a simple problem. And, there’s a lot more to learning time series.
Your probably thinking how am I ever going to learn time series forecasting.
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San Francisco’s Bay Area is a study in contrasts, where technology companies and world-class universities mingle—often uncomfortably—with lower-income communities. And although the state of California and four Bay Area cities—Berkeley, Oakland, San Jose, and San Francisco—have minimum wages higher than the national wage, even they do not always meet families’ expenses. In such an expensive part of the world, how valuable an investment is education, and will graduates be able to pay off their loans?
We selected a representative sample of Bay Area schools to examine. They represent both public and private colleges of varying sizes and from all four areas of the Bay. The first chart below shows the change in the number of people receiving federal student aid over time, adjusted for the size of the undergraduate population. The second chart shows the unadjusted number of students receiving federal aid.
The first chart below shows the average cumulative debt of students who borrowed money to finance their educations at selected Bay Area universities. The second chart illustrates the number of students they graduate in various majors. Red bars indicate majors whose associated professions typically do not pay enough to support one adult and one child in the county where the university is located.
There are multiple dimensions that affect affordability, including average wage for profession, terms and amount of the student loan, weekly hours worked, family sizes, and location. Explore how these variables interact below.
This website was created by Meredith Hitchcock, Jordan Shedlock, and Ellen Jane van Wyk as the final project for Information Visualization and Presentation, a course at the UC Berkeley School of Information.
The visualizations were created with Tableau and D3, and are based on data from the Common Data Sets provided by the colleges and universities, FAFSA, a loan calculator website, and the MIT Living Wage Calculator. The website was designed using a one-page HTML theme created by Start Bootstrap.
See project code on GitHub.