We simulate an environment with up to 2,000 agents, each modelled by a separate neural network.
We allow the agents to communicate via direct (signals and messages) and indirect (phenotype viewing) means.
From a complete random generation of weights early in the simulation, basic maneuvering skills emerge and later, complex behaviors and iteractions evolve.
We collect and explore some of the emergent behaviors from our simulations.
The terrain is made of land (gray) and sea (blue). The land areas are randomly generated using Perlin Noise. The energy sources can only be found on land. In addition, the sea area is harmful to the living cells.
The creation of a non-homogenous environment with separate territories would encourage more diverse behaviors and speciation, as we will later see.
An energy source is a circular object with radius proportional to its energy level. When a cell touches it, it may choose to consume its energy, thereby decreasing its size.
Energy sources are scattered uniformly on land.
A cell is a living creature, capable of moving, feeding and reproducing. In addition, a cell is capable of communicating with other cells on which we elaborate later.
A cell's size signifies the amount of energy that it has. A cell with a higher energy level can survive longer without food and may inflict more damage on other cells.
Above a certain size threshold, a cell may also have the ability to reproduce via sexual reproduction.
We define a cell phenotype as a portion of its genome, or more technically, a fixed area from the weights of its neural network.
At the heart of each cell is a gated recursive unit, or GRU, followed by a feed forward layer.
Its output is a set of independent actions on other cells or on the environment: A vector of acceleration, boolean flags indicating whether it wants to mate, attack and feed, and a free message that it wishes to broadcast to other, nearby cells.
Its input is more involved and encapsulates information from the cell's current state, as well as the state of nearby cells and energy sources.
The cells have a limited receptive range: They cannot detect other cells and energy sources beyond this range. In addition, they have a limited receptive field. That is, they can only detect k cells/energy sources at once and always prefer to choose the closest.
In summary, the cell input includes: the cell current acceleration vector, whether it is in
sea or not, and its current energy level.
Then, for each other cell i within its receptive range and field, a valid flag
indicating whether there is indeed a cell within range (otherwise, all attributes concerning the ith
cell are trash and should be neglected),
the direction to the ith cell, the distance from it, the
message coming from that cell, its phenotype and its energy
level.
Increasing the receptive range and field increases the complexity of the observation space by a great amount. Therefore, in our experiments we limit the receptive field to 2 cells and 2 energy sources (two separate receptive fields).
The following diagram summarizes a single cell's neural network, its input and output, in a single time step.
In many reinforcement learning problems the actor uses a Markovian decision process, where a single state can be
used to model all future environment interactions.
In such situations, past states are useless as they don't tell us anymore than what the current state
does.
Since in our large-scale multi-agent simulation, environment is only partially known to each cell and changes
very often as cells enter and
leave each other's receptive fields,
neglecting knowledge from previous states would result in
spasmodic movement by the agents.
Rather, we find that using a previous hidden state aids the cells adapt a coherent movement and behavior, and
allows a
cell to
preserve intention
from one time step to the next.
In order for a cell to feed, it must be within touching radius of the energy source and light up its feed flag at the same time.
Since each cell has a maximum size limit, it may choose not to consume a source if its own energy is at maximum, and spare it for later use or for others.
A cell has the ability to inflict damage upon other cells by lighting its attack flag when touching them. An attack event causes the victim to lose a great amount of energy, yet it also requires the attacker to spend some energy.
In a fight to the death, the cell with the higher energy level is more likely to survive as it has more energy to spend on attacks and more energy to withstand an attack. As a result, in our observations, smaller cells tend to avoid larger cells.

When the sum of two cells' energy levels passes a certain threshold, they are allowed to mate. However, for mating to take place, the two cells must also touch and light their mating flags at the same time.
A single mating event results in the production of a single offspring whose neural network weights are an average of the weights of its two parents, with the addition of noise. Thus, the resulting offspring's traits and behaviors are somewhat similar to its parents', but may also exhibit novel behaviors due to "mutations".
In pratice, cells often mate with the same partner more than once in a short period of time, which results in numerous offsprings.
Cells also lose energy following a reproduction, which enforces a limit on the number of matings they can do in a
single episode.
In each time step, the energy level of each cell is decreased by a constant so that cells must pro-actively acquire more energy in order to survive and cannot remain idle. When accelerating, cells also lose more energy that is proportional to their acceleration. Thus, cells must use their energy resource wisely, and only predetermined actions are encouraged.
A world is defined by an N x N grid, where N is initially small and increases with the cells average generation. The total energy in the world remains constant and is proportional to N. The sum of all energy sources together with the sum of all cell energies, cannot exceed that level.
In each time step, we calculate the amount of new offspring that need to be added to the world (i.e., as a result of mating events). If this level reaches below the world capacity, we fill the remaining capacity by adding cells at random positions, having randomly initialized weights. Otherwise, if the world is at a maximum capacity, we evict cells with the lowest energy levels, making room for the new offsprings.
However, when a cell's energy level passes a certain threshold, it cannot be evicted. In the extreme case when the world is at a maximum capacity and all cells are above that threshold, no new offpsrings can be made.
The total mass of the energy resources is also bound by the world capacity limit.
We denote the generation of each cell as the depth of its lineage in the phylogenetic tree where the root ancestor was randomly generated. Thus, each randomly generated cell is a 1st generation, it's first offspring is 2nd generation, etc...
The generation can attest to the quality of a cell such that greater generations are expected to be more sophisticated. When the average generation of all cells reach a certain level, the world is expanded and its energy constant is increased proportionally. Consequently, more cells and energy sources can be generated, and cells have a larger inhabitant.
After an expansion, the threshold generation for the next expansion is updated accordingly.
The world expansion is dual-purpose in this case: First, it lets us run more simulation steps in the early phases
of training, in a shorter period
of time since the world is smaller and less entities are involved in the physics computation.
Second, it establishes a sort-of curiculum-learning, where cells initially master basic movement and later exhibit
more elaborate behavior as the environment becomes larger and interactions diversify.
As we will soon see, in the early phases, cells focus is on mastering basic movement and maneuvering in order to reach energy sources, and later phases include speciation and communication with other cells.
In the early stages, the cell motor ability transitions from completely random jiterrings to a controlled, goal-directed movement.
Since a cell is penalized in direct relationship to its acceleration, a cell would normally move slowly, unless it has a good reason not to, such as when competing with other cells for the same energy source.
To illustrate more clearly how the motor ability of the cells evolve, we conduct a race between cells separated by a few hundred generations each.
Evidently, cells become faster as they evolve.
The discontinued chunks of inhabitable (land) areas, make it harder for the cells to emmigrate from one place to another. This allows cells to develop separate genetic pools, each undergoing further evolutionary steps somewhat isolated from the other.
A snapshot from a late phase in a simulation shows how separate phenotypes (hence, genes) are confined to separate territories. Also, it shows that cells learn to avoid sea almost entirely.
Since reproduction requires proximity, this correlation between genes and locality is expected. However, another contributor is the similarity in behavior that like-cells exhibit.
In this illustration, a distinct cell (blue) segregates away from a group of five closely related cells (pink), even when initially positioned in the exact same spot and having the exact same initial observation as those five cells.
Perhaps the most interesting aspect of the simulation is how cells learn to communicate. We recall that cells have four type of signals to communicate with: mate, attack, feed and a free message.
To illustrate the variability in communication, we perform a clustering of the cell free messages collected from a single time step, and reduce them using a PCA followed by T-SNE.
An obvious next step would have been to plug each centroid from the message clusters into the cells and observe their behaviors in an attempt to study the meaning of those messages. However, since messages are scenario and species dependent, such a task is not so straight-forward.
Instead, we show two simpler examples, where we force a cell to broadcast two signals: attack and feed.
In each of the following two examples, we pin the cell in the middle (pink) in-place and force it to broadcast a message of our choice. The second cell (blue) is free to move and broadcast whatever message it chooses. The two examples involve the exact same cells, and the exact same initial settings. The only thing that differs is the message that the pink cell broadcasts.
In the following illustration, we force the pink cell to broadcast an attack signal, making the blue cell engulf it in reach for the energy source.
In the next example, the pink cell broadcasts a feed signal, which confuses the blue cell, making it think that there is another energy source where the pink cell is at.
Evolutionary Strategy has been recently shown to compete with standard reinforcement learning algorithms on a set of Atari games having single or few agents. This often involves the collection of separate game trajectories over multiple processes, by agents residing in separate, isolated environments.
In our simulation on the other hand, all agents live in the same world, which increases variability and diversity of interactions.
We use evolutionary strategy to train the models but delegate the decision on reproduction to the involved individuals themselves. Thus, the reproduction process itself is subject to evolution.
We have obtained a variety of rudimentary forms of communication by simulating the process of natural selection in a large-scale, multi-agent environment.
An extension of this work may choose to employ a variety of other models as the cell state-machine. In particular, it would be interesting to explore the addition of attention layers on top of our neural network architecture.
A further study may wish to integrate more complex tasks in the environment: for instance, such that require cooperation and team-work by the agents.
Simulations were done on a single thread, single CPU (Intel i7). Reaching a 20k generation took approximately 30 hours. (GPU is also supported however, performs much slower).


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
DefUseCell interface Def-use list cell representaing a definition and list of its use points. This interface does not take aliases into consideration.
| Nested Class Summary | |
static class |
DefUseCell.DefNode
|
| Field Summary | |
static IR |
PARAM
Indicates the (imaginary?) node that initializes the formal parameter. |
static IR |
UNINITIALIZED
Indicates that the variable may not have been set LOCALLY, i.e., within the subprogram, before used. |
| Method Summary | |
void |
addUseNode(IR pUseNode)
Adds pUseNode to the list of use nodes (returned by getUseList() ). |
IR |
getDefNode()
Returns the node (def node of this DefUseCell) that sets the value for the symbol this DefUseCell is associated with. |
java.util.List |
getUseList()
Returns the list of nodes that may use the value set at the def node (returned by getDefNode() ). |
| Field Detail |
public static final IR UNINITIALIZED
Indicates that the variable may not have been set LOCALLY, i.e., within the subprogram, before used. This may be returned by getDefNode
. The name "UNINITIALIZED" may be misleading, since external variables may have already been initialized outside of the scope of this analysis (SubpFlow).
Please note that this is not a full-featured "IR node", and call to most of the methods in IR
interface will fail (UnsupportedOperationException
thrown).
public static final IR PARAM
Indicates the (imaginary?) node that initializes the formal parameter. This may be returned by getDefNode()
.
Please note that this is not a full-featured "IR node", and call to most of the methods in IR
interface will fail (UnsupportedOperationException
thrown).
| Method Detail |
public IR getDefNode()
public java.util.List getUseList()
getDefNode()
).
public void addUseNode(IR pUseNode)
pUseNode
to the list of use nodes (returned by getUseList()
).
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Lightning ⚡ payment or Crypto payment page
For those who don't use lightning, we also have a fallback link which lets you pay in other crypto (We accept Bitcoin, Litecoin, Ethereum, Ethereum Classic, Dash, ZCash, Decred, and Monero). Although we do not offer full payment tracking yet for traditional payments.
Simply enter the amount that you wish to pay along with specifying the invoice reference code so that we can mark it off as paid.
Lightning payments are only supported with small amounts. You will be directed over to the standard crypto channel if the amount is too large.


The Grails® Foundation is a not-for-profit organization that exists to support and collectively lead the open source Grails project.
The Grails Foundation Serves To:
- Ensure technical innovation and advancement of the Grails framework as a free and open public-use software development toolkit for a growing global community
- Evangelize and promote the Grails framework as a leading technology in the JVM space
- Build and support an ecosystem of complementary documentation, functionality, and services
Contributing Members
The bylaws of the Grails Foundation provide that Object Computing will maintain, in perpetuity, a majority interest in the Foundation to serve as a steward of the Grails framework and its global open source community. Object Computing has committed an initial contribution of $200,000.00 to fund open source product development and evangelism for the Framework.
“For over a decade, the Grails framework has been a leader among JVM web application frameworks. The innovations in the Grails framework and the longevity of its success have been possible only because of the vibrant and active community around the technology over the years. The Grails Foundation is being launched in part to acknowledge the role that the community has played all along, and to create a forum to continue growing the enthusiasm of the community. A core tenet of the Object Computing team has always been All Of Us Are Better Than Any One Of Us, and the Grails Foundation will facilitate the continued embracing of the value in that truth,” said Jeff Scott Brown, Grails Foundation co-founder.
The Grails Foundation Technology Advisory Board
The Grails Foundation is supported by a Technology Advisory Board that ensures the Framework continues to reflect and serve its diverse and growing user community. The Board meets quarterly to discuss and make recommendations regarding the Grails framework's roadmap and technical direction.
For more information and for organizations interested in nominating a representative to the Grails Foundation Technology Advisory Board, please contact<EMAIL_ADDRESS>Sponsorship
As a not-for-profit organization, the Grails Foundation relies on the financial support of our Contributing Members to support and grow the Grails framework. Please consider donating and becoming a sponsor today!
Corporate Sponsorship
The generous support of our Corporate Sponsors allows the Grails Foundation to continue to ensure the Framework's technical innovation and advancement.
Learn more about the Corporate Sponsorship Program
Community Member Sponsorship
Individuals also support the Grails Foundation through our Community Member Sponsorship program.
Learn more about Community Member Sponsorship
See all the current supporters on our Sponsors List.
Contact
The Foundation's Board Of Directors may be reached at<EMAIL_ADDRESS>Meeting Minutes
An archive of past meeting minutes is available here.


Utils related to temporal transforms.
More...
#include <btTransformUtil.h>
|
| static void | integrateTransform (const btTransform &curTrans, const btVector3 &linvel, const btVector3 &angvel, btScalar timeStep, btTransform &predictedTransform) |
| |
| static void | calculateVelocityQuaternion (const btVector3 &pos0, const btVector3 &pos1, const btQuaternion &orn0, const btQuaternion &orn1, btScalar timeStep, btVector3 &linVel, btVector3 &angVel) |
| |
| static void | calculateDiffAxisAngleQuaternion (const btQuaternion &orn0, const btQuaternion &orn1a, btVector3 &axis, btScalar &angle) |
| |
| static void | calculateVelocity (const btTransform &transform0, const btTransform &transform1, btScalar timeStep, btVector3 &linVel, btVector3 &angVel) |
| |
| static void | calculateDiffAxisAngle (const btTransform &transform0, const btTransform &transform1, btVector3 &axis, btScalar &angle) |
| |
Utils related to temporal transforms.
Definition at line 29 of file btTransformUtil.h.
◆ calculateDiffAxisAngle()
floating point inaccuracy can lead to w component > 1..., which breaks
Definition at line 124 of file btTransformUtil.h.
◆ calculateDiffAxisAngleQuaternion()
◆ calculateVelocity()
◆ calculateVelocityQuaternion()
◆ integrateTransform()
The documentation for this class was generated from the following file:


⎉
)𝔽⎉𝕘 𝕩
, 𝕨 𝔽⎉𝕘 𝕩
: RankApply 𝔽
to cells at ranks given in 𝕘
. Non-negative numbers indicate the rank of the cell and negative ones indicate the difference from full rank.
The ranks applied are given by the following:
⎉ c
Rank-c cells of 𝕩
(monadic) or both arguments (dyadic)⎉ b‿c
Rank-b cells of 𝕨
and rank-c cells of 𝕩
(dyadic)⎉ a‿b‿c
Rank-a cells of 𝕩
(monadic), b-cells of 𝕨
and c-cells of 𝕩
(dyadic)a ← 3‿2‿4⥊"ABCDEFGHIJKLMNOPQRSTUVWXYZ" ⌽⎉2 a ┌─ ╎"EFGH ABCD ·MNOP IJKL ·UVWX QRST" ┘


[1]
peace of mind when i would be away from my home for extended vacations .
[2]
i used these -lrb-/-lrb- 2 -rrb-/-rrb- hoses to replace the original equipment rubber hoses .


Performs robust cluster analysis allowing for outliers and noise that cannot be fitted by any cluster. The data are modelled by a mixture of Gaussian distributions and a noise component, which is an improper uniform distribution covering the whole Euclidean space. Parameters are estimated by (pseudo) maximum likelihood. This is fitted by a EM-type algorithm. See Coretto and Hennig (2016) <doi:10.1080/01621459.2015.1100996>, and Coretto and Hennig (2017) <arXiv:1309.6895>.
| Version: | 1.1 |
| Imports: | stats, utils, graphics, grDevices, mclust, parallel, foreach, doParallel |
| Published: | 2017-06-27 |
| Author: | Pietro Coretto [aut, cre], Christian Hennig [aut] |
| Maintainer: | Pietro Coretto <pcoretto at unisa.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | otrimle citation info |
| Materials: | ChangeLog |
| In views: | Robust |
| CRAN checks: | otrimle results |
| Reference manual: | otrimle.pdf |
| Package source: | otrimle_1.1.tar.gz |
| Windows binaries: | r-devel: otrimle_1.1.zip, r-release: otrimle_1.1.zip, r-oldrel: otrimle_1.1.zip |
| OS X binaries: | r-release: otrimle_1.1.tgz, r-oldrel: otrimle_1.1.tgz |
| Old sources: | otrimle archive |
Please use the canonical form https://CRAN.R-project.org/package=otrimle to link to this page.


public class ParcelCarrier
extends java.lang.Object
ParcelSender
is the origin of the carrier, while ParcelReceiver
is the target of the carrier.
The best way to get one of these is to call obtain()
method, which will pull from a pool of recycled objects.
| Modifier and Type | Class and Description |
|---|---|
static class |
ParcelCarrier.ResultCode
Allows for the sending and reply of very basic rudimentary signals.
|
static class |
ParcelCarrier.Serializer |
| Constructor and Description |
|---|
ParcelCarrier() |
| Modifier and Type | Method and Description |
|---|---|
int |
getCode() |
java.lang.Object |
getPayloadObject() |
Parcel |
getPayloadParcel() |
java.lang.String |
getTag() |
ParcelChannel |
getTargetChannel() |
ParcelReceiver |
getTargetReceiver() |
boolean |
isTransmittable()
Determines if the carrier is suitable for a network transmission.
|
void |
markFinalized() |
void |
notFinalized() |
static ParcelCarrier |
obtain()
Return an instance from the global unused pool.
|
static ParcelCarrier |
obtain(int code) |
static ParcelCarrier |
obtain(int code,
java.lang.Object payload) |
static ParcelCarrier |
obtain(ParcelCarrier.ResultCode code) |
static ParcelCarrier |
obtain(ParcelCarrier.ResultCode code,
java.lang.Object payload) |
static ParcelCarrier |
obtain(ParcelCarrier orig)
Same as
obtain() , but copies the values of an existing
message into the new one. |
void |
recycle() |
void |
setCode(int code) |
void |
setCode(ParcelCarrier.ResultCode code) |
void |
setOrigin(ParcelSender origin) |
void |
setPayload(java.lang.Object payload)
Sets the payload to be transmitted with this carrier.
|
void |
setTag(java.lang.String tag) |
void |
setTargetChannel(ParcelChannel targetChannel) |
void |
setTargetReceiver(ParcelReceiver targetReceiver) |
public static ParcelCarrier obtain()
public static ParcelCarrier obtain(ParcelCarrier orig)
obtain()
, but copies the values of an existing
message into the new one.orig
- Original message to copy.public static ParcelCarrier obtain(ParcelCarrier.ResultCode code, java.lang.Object payload)
public static ParcelCarrier obtain(int code, java.lang.Object payload)
public static ParcelCarrier obtain(ParcelCarrier.ResultCode code)
public static ParcelCarrier obtain(int code)
public int getCode()
public java.lang.Object getPayloadObject()
public Parcel getPayloadParcel()
public java.lang.String getTag()
public ParcelChannel getTargetChannel()
public ParcelReceiver getTargetReceiver()
public boolean isTransmittable()
public void markFinalized()
public void notFinalized()
public void recycle()
public void setCode(ParcelCarrier.ResultCode code)
public void setCode(int code)
public void setOrigin(ParcelSender origin)
public void setPayload(@Nonnull java.lang.Object payload)
Note: Be advised that objects that don't implement Parcel
or isn't
annotated as being Parcelable
, usually can't be transmittable over
the network. So it's best practice to use Parcel
whenever possible.
Ultimately, it's up to the network implementation if the payload is acceptable.
payload
- The payload to set on this carrier.public void setTag(@Nullable java.lang.String tag)
public void setTargetChannel(ParcelChannel targetChannel)
public void setTargetReceiver(ParcelReceiver targetReceiver)


This intention changes a library method contract.
Method contract has the following syntax:
contract ::= (clause ';')* clause
clause ::= args '->' effect
args ::= ((arg ',')* arg )?
arg ::= value-constraint
value-constraint ::= '_' | 'null' | '!null' | 'false' | 'true'
effect ::= value-constraint | 'fail' | 'new' | 'this' | 'param' number
number ::= [1-9] [0-9]*
The constraints denote the following:
- _ - any value
- null - null value
- !null - a value statically proved to be not-null
- true - true boolean value
- false - false boolean value
- fail - the method throws exception, if the arguments satisfy argument constraints
- new - every time the method is executed, it returns a non-null new object that is distinct from other objects existing in the heap prior to method execution. If the method is pure, the new object is not stored in any field or array and will be lost if method return value is not used.
- this - the method returns non-null this reference
- param1 (param2, param3, etc.) - the method returns its first (second, third, etc.) argument
Examples:
@Contract("_, null -> null")
- method returns null if its second argument is null
@Contract("_, null -> null; _, !null -> !null")
- method returns null if its second argument is null and not-null otherwise
@Contract("true -> fail")
- a typical assertFalse method which throws an exception if true
is passed to it


buffered_undo_manager.coffee | |
|---|---|
| The Buffered Undo Manager is a simple way to provide an undo/redo stack for a Javascript application. Prerequisites: Requires that jQuery and Underscore both be installed. | class BufferedUndoManager |
new BufferedUndoManager(options)Initializes a new undo manager with the provided options. Options may be specified as follows:
| constructor: (options)->
@bindings = {}
@options = _.extend
buffer: 1000
synchronizeOnUpdate: false
comparator: (a,b)->
a == b
, options
<EMAIL_ADDRESS>|
manager.reset(state)Resets the undo manager to a blank slate. Useful if you are using an application-wide undo manager and have loaded a different editable resource, for instance. Arguments
| reset: (state, options = {})->
@clearTimeout()
delete @undos
delete @redos
delete @bufferTimeout
@undos = []
@redos = []
@bufferReady = true
@state = state |
manager.undo()Performs an undo operation. This operation will
run the | undo: ->
return false unless @canUndo()
@redos.push @state
@state = @undos.pop()
@trigger 'undo', @state
@synchronize()
@undos.length |
manager.redo()Performs a redo operation. This operation will
run the | redo: ->
return false unless @canRedo()
@undos.push @state
@state = @redos.pop()
@trigger 'redo', @state
@synchronize()
@redos.length |
manager.canUndo()Returns | canUndo: ->
@undos.length > 0 |
manager.canRedo()Returns | canRedo: ->
@redos.length > 0 |
manager.on(event, handler)Takes a string of space-separated events and calls the provided handler function when the given events trigger. Available events are:
| on: (args...)->
$(this).on args... |
manager.off(event, [handler])Takes an event string and optional handler. If handler is provided only that specific handler will be unbound. Otherwise all handlers will be unbound. | off: (args...)->
$(this).off args... |
manager.update(state, options)Update the state of the undo manager. Arguments
Options
| update: (state, options = {})->
return false if @options.comparator(@state, state) and !options.force
@redos = []
if options.force or @bufferReady
@undos.push @state
@trigger 'push', @state
@bufferReady = false
@clearTimeout()
@bufferTimeout = setTimeout =>
@trigger 'buffered', @state
@bufferReady = true
, @options.buffer
@state = state
@synchronize(@options.synchronizeOnUpdate?)
clearTimeout: ->
clearTimeout @bufferTimeout if @bufferTimeout?
trigger: (args...)->
$(this).triggerHandler args...
synchronize: (options)->
@trigger 'change', @state
@options.synchronize @state if @options.synchronize? and callThrough
|


View Kayako Fusion Logo Pics. Customer service made personal and simple. Connect with them on dribbble;
Kayako helps companies manage customer requests and conversations over any channel, support customers better. Kayako makes it easy to deliver an unrivalled customer support experience. Bogusheart submitted a new resource:
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Kayako makes it easy to deliver an unrivalled customer support experience. Access pricing info, review, demo and kayako fusion review. Check out our fusion logo selection for the very best in unique or custom, handmade pieces well you're in luck, because here they come. Create simple member subscription on front end.


Montage Viewer: Introduction
The Montage Viewer, mViewer, is a command line application or visualizing FITS images, overlaying content (grids,
symbols., ... ) on them and creating PNG or JPEG files. It can be included in scripts or pipelines. The image of
M51 on the left was created with mViewer, with no manual retouching of the image.
mViewer has broad applicability for visualizing astronomical data. The following is a list of of its
most useful capabilities:
Click image to view larger version in a new tab.
|
- A range of data stretching algorithms, including a couple of custom stretches
based on the idea of histogram matching to a general model of astronomical
brightness distributions (log-trasformed gaussian histogram equalization).
- Gray/pseudo-color display of a single plane image with a number of color
tables.
- Full-color (three image) display with optional color enhancement.
- Coordinate grid overlays (any coordinate system, including Besselian/Julian
and Equinox selection).
- Astronomical catalog overlays with data in any coordinate system. Multiple
symbols and any color. Includes optional scaling of the symbols by flux /
magnitude based on any table column.
- Image metadata (outlines) overlays. Uses four corner data if the table
contains this. Otherwise trys to interpret tables columns as WCS
information.
- Custom ad hoc markers and labels.
- Output as JPEG or PNG, including embedded AVM tags in JPEGs (e.g., for
export to WWT or for outreach uses).
|
The low-level mViewer functionality is a stand-alone program suitable for inclusion in scripts or as part of
a pipeline. It can also be folded together with Python wrapping code (and a couple of other Montage modules) to
support off-line interactive science visualization of astronomical images or with Javascript and CGI wrappers
as an interactive web service suitable for sites wanting to allow interaction with their image holdings.


The car built through this project will be powered by seawater. Yes, seawater. For this reason, it will produce no emissions and be friendlier to the envrionment.
This car is designed to be good to look at and functional. Our goal is to show to car companies that such a thing is possible, and that ugly, incomprehensible cars should be a thing of the past.
We aim to design the car for a trip across India, from Kanyakummari to Kashmir. It will face hot temperatures, cold temperatures, deserts, streams, jungles, and snow. This will be the ultimate testing ground for the project.


--- layout: post title: Baker is out author: philip date: '2013-09-23T08:19:00+02:00' categories: post/62055414383 share: true comments: true tags: [] tumblr_url: http://blog.thebakery.io/post/62055414383/baker-is-out ---
At the Bakery, we like to ship early and often. We like our web apps just like our croissants - warm and tasty. This pushes us to constantly improve our workflow and optimize it for speed and quality. Adequate tooling is instrumental in achieving these goals. Over the past half a year or so we’ve been using a set of tools and scripts we’ve developed to make ourselves more efficient. Today we’re releasing all of the goodness packaged into a framework we call Baker.
Baker is what we use to build powerful web applications that taste great and perform even better. Give it a try and let us know what you think.
You’ll also want to follow us on twitter and subscribe to our newsletter.
image credit: Catnews


Printing in PowerPoint - Printing Handouts for Note Taking in ...
PowerPoint Handouts can be printed so that there is an area for the audience to take notes while you are speaking.
http://presentationsoft.about.com/od/nextstepsinpowerpoint/ss/ppt_printing_5.htm
Treatment for Herniated or Bulging Discs
Lecture Handouts and Student Note-taking - Taylor & Francis Online
Lecture Handouts and Student Note-taking. James Hartley, University of Keele. Abstract: In this paper five experiments are described which examine .
http://www.tandfonline.com/doi/abs/10.1080/1355800760130208
Note Taking
Dartmouth College provides an excellent resource for note taking with several useful handouts on their Academic Skills Center page and a definition of the 5 R's .
http://www.canyons.edu/committees/leap/team1/15tips/tip2.asp
handouts for taking notes Herniated or Bulging Discs
Note Taking Worksheets | Have Fun Teaching
Note Taking Worksheets, Note Taking Worksheet, Free Note Taking Worksheets, Note Taking Skills, Taking Notes Worksheets.
http://havefunteaching.com/worksheets/reading-worksheets/note-taking-worksheets/
Going Green with Electronic Presentation Handouts that Attendees ...
A lot has been reported recently in the press about making meetings greener by eliminating handouts for presentations. The suggestion is that handouts should .
http://thinkoutsidetheslide.com/going-green-with-electronic-presentation-handouts-that-attendees-can-take-notes-on/
Note-taking - Counselling and Development - Concordia University ...
It's important to know how to take good notes in class. And it's just as important to know what to do with your notes afterwards. Don't just stick them in a binder on .
http://cdev.concordia.ca/our-services/learning-support/learning-and-writing-handouts/note-taking/
Official Impairment Listing for Spinal Disorders
Taking Notes NOTE-TAKING Handout 2 GRADE 10 LESSON 17
Taking Notes. Hearing something once is not enough to really learn it and that is why note taking is so important. Clearly written, accurate notes help to capture .
http://wvde.state.wv.us/counselors/links/students/documents/10.17.2-Homework-Center-notetaking-tips.pdf
- american income life in memphis tennessee (narrowing of the spine)
Study Skills Handouts and Information
Jan 10, 2012 . The following handouts provide suggestions on ways to take good notes and use them well. Taking Lecture Notes (26K Word); The Cornell .
http://www.dartmouth.edu/~acskills/handouts.htmlNote-taking
Note-taking Handouts. Wide-Margin Notes. The best-kept secret in college success is the wide-margin system of note-taking. This system will keep you .
http://www.spu.edu/depts/cfl/Note-taking.asp
Handouts in the Classroom: Is Note Taking a Lost Skill?
Apr 15, 2006 . Aspects of note taking, note revising, note reviewing, and the use of handouts as it relates to student learning has been an active area of .
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1636926/
Active Listening and Note-Taking | Dean of Students Office
Effective Listening and Note-Taking: Note-taking enhances your thinking and listening, but you cannot write as fast as you think. This handout suggest strategies .
http://www.dso.iastate.edu/asc/resources/lectures
Medical-Vocational Allowance for Herniated Disc
Effective Note Taking - Learning and Assessment Service
O://dept/LSS/Handouts/Displayrack/Effective note taking. 1 of 1. Effective Note Taking. Before the Lecture. 1. Read assigned text before the lecture. You will
http://www.las.uh.edu/lss/handouts/Note%20Taking/Effective%20Note-taking.pdf
Taking Notes
Taking Notes. (and getting the most out of them). Have the right materials ready before class begins: . Good pen/ pencil. . Notebook/folder devoted to the .
http://www.housing.sc.edu/ace/pdf/ASR/NotetakingTips.pdf
Appealing a Denial of Benefits
Effective Listening and Notetaking - North Shore Community College
g. adding class activities or worksheets . Many students take notes in a very haphazard style claiming that they will . SUGGESTIONS FOR TAKING NOTES: 1 .
http://www.northshore.edu/support_center/pdf/listen_notes.pdf
LECTURE NOTE-TAKING TIPS AND TECHNIQUES
J:\Data\Departmental\Counselling\HANDOUTS\Study Skills\Updated\Lecture Notetaking.docx. June 2010. Counselling & Learning Support. Lecture Note- Taking .
http://www2.capilanou.ca/Assets/Learning+Specialist/Handouts/Lecture+Note-Taking.pdf


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hackathons
Where Ideas Are Getting Real
Sebastian Korfmann
@skorfmann
Hackathons
~ 48 Hours
From Scratch
Small Teams
Main Goal:
Get it working!
RailsRumble - 2012
koideploy.com
After 48 hours
- Automated Deployments
- From Github
- To Heroku
- Lots of rough edges ;)
We had reached our Goal!
Learnings
- Planning
- Presentation
- Accessibility
- Have Fun!
Thanks
Sebastian Korfmann
@skorfmann
https://koideploy.com


This is a site to help you prepare for a PyCon 2015 Security Tutorial called Getting Comfortable With Web Security.
If possible, bring a computer with Python installed, and with virtualenv installed.
If you don't know how to install virtualenv, please show up 15 minutes before the tutorial start time so we can help you.
By the time you see this page, you should have already received an invitation to the petwitter Slack chat system. Join it!
If you haven't received one, that's OK. Send an email to<EMAIL_ADDRESS>If you're in one, then here are your essential links:
Your small-group lead is asheesh.
If you're in two, then here are your essential links:
Your small-group lead is lettamercurial.
If you're in three, then here are your essential links:
Your small-group lead is kyoki.
For the fun of it, I figured we can use my petwitter.com domain name. This site has no relationship with with Twitter, Inc.


Imagine knowing your future health needs will be supported
With more than 80,000 members across Canada, we’re influential advocates and the largest national provider of non-profit group health insurance for the education retiree community. Our members are from the broader education community.
Start your application before you retire. You’ll be automatically approved for your insurance without the need for additional medical information as long as you apply within 60 days of your previous group insurance ending. Usually, that's within 60 days of your retirement date.
Apply NowSome 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.


Heading to Farmer's Market with Mom, Dad, Amber and Coraline. Such a beautiful day for it.
10/24/2009, 10:41:19 AM
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Heading to Farmer's Market with Mom, Dad, Amber and Coraline. Such a beautiful day for it.
10/24/2009, 10:41:19 AM
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The System Manager provides access to the tasks that help you set up and administer your workstation. The tasks are organized into the categories described below.
To view a category, click on it in the column at left.
Overview
Display this overview document.
About This System
Display information about the configuration of this system.
Search
Use keywords to search for a task.
Software
List the tasks that allow you to install software and obtain
software licenses.
Hardware and Devices
List the tasks that allow you to add or remove devices on your
workstation. Devices include modems, MIDI devices, printers, mouse pointers,
and tablets.
Security and Access Control
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the level of security on this workstation.
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network and the Internet.
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data on this workstation.
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CHAPTER 21G
PUBLIC ACCESS
Section
21G-1 Purpose
21G-2 Public access room established
21G-3 Legislative broadcast program established


Buttons
first button
second button
third button
another button
other button
other button
partial button
I'm a span with the role of button
I'm a span with the class of button
I'm a span with the class of btn
I am an invisible button
I am an invisible span
Disabled button
Fields
text input field linked by for
password field linked by for
i
checkbox field linked by for
radio field linked by for
select field linked by for
one
two
Ambiguous select options
choose
one
twenty one
normalize
space
test
textarea field linked by for
textarea val one
file field linked by for
text input field in a label container
email input field in a label container
tel input field in a label container
number input field in a label container
datetime input field in a label container
datetime-local input field in a label container
date input field in a label container
color input field in a label container
search input field in a label container
url input field in a label container
Field with no id
Field with no type
password field in a label container
radio field in a label container
checkbox field in a label container
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textarea field two val
select field in a label container
select two option one
select two option two
file field in a label container
web forms style file field in a label container
default
select me to test focussing
Ambiguous fields when finding by label text
Some for labeled radio option that might conflict with another one
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Some container labeled radio option that might conflict with another one
Some container labeled radio option
Links
first link
second link
I am an invisible link by visibility
I am an invisible link by display
I'm a link with "both" types of quote in my text
Inspecting Content
Some text in a span
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parts
marked up
variously
.
Some
text
in
a
table
row
Some
text
in
a
list
Some text split over multiple lines in source
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two paragraphs
Some text displayed over
multiple lines
This
is what we are looking for
one
two
Me! Pick me!
Dialogs
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scoped text input field linked by for
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Section One h1
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WHO WE ARE?
Our Company in employee - owned and managed by LEO and MAKOJ, Therefore our commitment to continuous improvement
and growth is significant. OUR VISION is to be Windhoek's leader in making quality bricks for infrastructure
vision. To achieve that vision we invest in the best resources and talent - our people.
The quality of work we do is directly related to to the quality of the people working with, and for us, our employees, our associates,and our suppliers are the key partners in all of our work.


The data you will have to analyze are in the eclass in the excel data-assignment.xls file. The dependent variables for which you will construct the models you are asked for, are the returns of four investment vechicles (Y1, Y2, Y3, Y4) for the period 1/1991 - 12/2005.
The independent variables you will use in the models refer to monthly values/returns for the variables:
for the period 1/1991 - 12/2005.
Analyze dependent variables based on data for the period 1/1991 - 12/2004 [You will not use the data for the period 1/2005 - 12/2005]:
Each student will have to analyze two only dependent variables
# loads the library urca, which contains the command ur.df()
# and applies Unit-Root Testing based on Dickey-Fuller test
# install.packages(c('fGarch', 'urca','tseries','MASS'))
library(urca)
library(tseries)
library(MASS)
library(fGarch)
# Importing data into R can be carried out in various ways. Below, the command read.table is used:
data_all = read.table('/home/socital1/Desktop/george/AUEB/TimeSeries/time_series_in_r/Data-Assignment-Feb-2018.txt')
xdata_cols <- c('V5','V6', 'V7','V8','V9','V10','V11','V12','V13','V14','V15','V16','V17','V18')
xdata <- data_all[c(xdata_cols)]
head(xdata)
y2 <- data_all$V2
j2 = ts(y2, frequency=12, start = c(1991, 1), end = c(2004, 12))
xfactors=ts(xdata, frequency=12, start = c(1991, 1), end = c(2004, 12))
train_data = data_all[1: 168,]
test_data = data_all[169:180,]
attach(train_data)
fitnull <- lm(V2 ~ 1)
stepSR <- step(fitnull,
scope=list(lower = ~ 1,
upper = ~ V5 + V6 + V7 + V8 + V9 + V10 + V11 + V12 + V13 + V14 + V15 + V16 + V17 + V18),
direction="both",
data=train_data)
stepSR$anova
summary(stepSR)
detach(train_data)
stepSRresidualsTS <- ts(stepSR$residuals,
frequency=12,
start = c(1991,1),
end = c(2004, 12))
stepSRresidualsTS
par(mfrow=c(3,2))
# set up the graphics
acf(ts(stepSRresidualsTS,freq=1), 48, main="ACF of residuals")
pacf(ts(stepSRresidualsTS,freq=1), 48, main="PACF of residuals")
acf(ts(stepSRresidualsTS^2,freq=1), 48, main="ACF of squared residuals")
pacf(ts(stepSRresidualsTS^2,freq=1), 48, main="PACF of squared residuals")
qqnorm(stepSRresidualsTS,main="Normal QQplot of residuals")
qqline(stepSRresidualsTS)
plot(j2, type="l", col='red', lwd=1, main="Time Series plot of Y2", ylab="Monthly returns")
From the lower right plot of the return series we observe that the volatility of the return series is not constant over time. There is evidence of volatility clustering phenomenon, since there are periods of high and low volatility.
ar2fit <- arima(stepSRresidualsTS, order=c(2,0,0))
ar2fit
par(mfrow=c(3,2))
ar2fit_residualsTS <- ts(ar2fit$residuals, frequency=12, start = c(1991, 1), end = c(2004, 12))
# set up the graphics
acf(ts(ar2fit_residualsTS,freq=1), 48, main="ACF on residuals of AR(2)")
pacf(ts(ar2fit_residualsTS,freq=1), 48, main="PACF on residuals of AR(2)")
acf(ts(ar2fit_residualsTS^2,freq=1), 48, main="ACF on squared residuals of AR(2)")
pacf(ts(ar2fit_residualsTS^2,freq=1), 48, main="PACF on squared residuals of AR(2)")
qqnorm(ar2fit_residualsTS,main="Normal QQplot on residuals of AR(2)")
qqline(ar2fit_residualsTS)
Box.test(ar2fit_residualsTS, lag=12, type="Ljung")
Box.test(ar2fit_residualsTS^2, lag=12, type="Ljung")
ma2fit <- arima(stepSRresidualsTS, order=c(0,0,2))
ma2fit
par(mfrow=c(3,2))
ma2fit_residualsTS <- ts(ma2fit$residuals, frequency=12, start = c(1991, 1), end = c(2004, 12))
# set up the graphics
acf(ts(ma2fit_residualsTS,freq=1), 48, main="ACF on residuals of MA(2)")
pacf(ts(ma2fit_residualsTS,freq=1), 48, main="PACF on residuals of MA(2)")
acf(ts(ma2fit_residualsTS^2,freq=1), 48, main="ACF on squared residuals of MA(2)")
pacf(ts(ma2fit_residualsTS^2,freq=1), 48, main="PACF on squared residuals of MA(2)")
qqnorm(ma2fit_residualsTS,main="Normal QQplot on residuals of MA(2)")
qqline(ma2fit_residualsTS)
Box.test(ma2fit_residualsTS, lag=12, type="Ljung")
Box.test(ma2fit_residualsTS^2, lag=12, type="Ljung")
arma22fit <- arima(stepSRresidualsTS, order=c(2, 0,2))
arma22fit
par(mfrow=c(3,2))
arma22fit_residualsTS <- ts(arma22fit$residuals, frequency=12, start = c(1991, 1), end = c(2004, 12))
# set up the graphics
acf(ts(arma22fit_residualsTS,freq=1), 48, main="ACF on residuals of ARMA(2, 2)")
pacf(ts(arma22fit_residualsTS,freq=1), 48, main="PACF on residuals of ARMA(2, 2)")
acf(ts(arma22fit_residualsTS^2,freq=1), 48, main="ACF on squared residuals of ARMA(2, 2)")
pacf(ts(arma22fit_residualsTS^2,freq=1), 48, main="PACF on squared residuals of ARMA(2, 2)")
qqnorm(arma22fit_residualsTS, main="Normal QQplot on residuals of ARMA")
qqline(arma22fit_residualsTS)
Box.test(arma22fit_residualsTS, lag=12, type="Ljung")
Box.test(arma22fit_residualsTS^2, lag=12, type="Ljung")
From the ACF and PACF of the residuals:
Summarizing we have the following:
# First, we will fit an ARCH(1) model:
m1arch <- garchFit(~garch(1,0), data=stepSR$residuals, trace=F)
# trace = F reduces the summary
summary(m1arch)
We obtain the parameter estimates, the corresponding standard errors, the t-statistics and the associated p-values, in order to examine the statistical significance of the model parameters.
The ARCH(1) model is written:
$$y_{t} = μ + e_{t} , $$ $$e_{t} = σ_{t}*v_{t} \thicksim N(0,1), $$ $$σ^2_{t} = a_{0} + a_{1}*e^2_{t-1} $$
Thus, the estimated ARCH(1) model is: $$y_{t} = -9.7851 * 10^{-19} + e_{t} , $$ $$e_{t} = σ_{t}*v_{t} \thicksim N(0,1), $$ $$σ^2_{t} = 5.5408 * 10^{-5} + 2.8575* 10^{-1}*e^2_{t-1} $$
There are different diagnostic tests outlined in the aformentioned summary, performed on the residuals $R$ and/or the squared residuals $R^2$.
The Jarque-Bera and the Shapiro-Wilk tests are used in order to examine the normality assumption of the model residuals. It seems that the null hypothesis of normality (p-values 1.017781e-08 and 0.001085258) is rejected, i.e. there is evidence of non normality of residuals.
Most of the remaining tests are based on the Ljung-Box Q-statistic to examine the autocorrelation of the residuals and/or the squared residuals. The results indicate that there exists autocorrelation in the residuals series. On the contrary the tests indicate no autocorrelation in the squared residuals.
That is, the ARCH(1) model did not capture adequately the time-varying characteristics of the return series.
predict(m1arch, 6)
m1arch_student=garchFit(~garch(1,0),data=stepSR$residuals, cond.dist="std",trace=F)
summary(m1arch_student)
The ARCH(1) model based on Student-t errors is:
$$y_{t} = μ + e_{t} , $$ $$e_{t} = σ_{t}*v_{t}, v_{t}\thicksim Student-t_{5.32}, $$ $$σ^2_{t} = a_{0} + a_{1}*e^2_{t-1} $$
Thus, the estimated ARCH(1) model is: $$y_{t} = -9.7851 * 10^{-19} + e_{t} , $$ $$e_{t} = σ_{t}*v_{t}, v_{t}\thicksim Student-t_{5.32}, $$ $$σ^2_{t} = 5.7074 * 10^{-5} + 2.5579* 10^{-1}*e^2_{t-1} $$
There are different diagnostic tests outlined in the aformentioned summary, performed on the residuals $R$ and/or the squared residuals $R^2$.
The Jarque-Bera and the Shapiro-Wilk tests are used in order to examine the normality assumption of the model residuals. It seems that the null hypothesis of normality (p values 6.938177e-09 and 0.001129714) is rejected, i.e. there is evidence of non normality of residuals.
Most of the remaining tests are based on the Ljung-Box Q-statistic to examine the autocorrelation of the residuals and/or the squared residuals. The results indicate that there exists autocorrelation in the residuals series.
On the contrary the tests indicate some autocorrelation in the squared residuals.
That is, the student-t ARCH(1) model did not capture adequately the time-varying characteristics of the return series.
We can estimate a GARCH(1,1) model based on normal distribution for the error process. The following set of commands estimates the model, presents a summary of the obtained results, gives several graphs to evaluate the model fit, and computes predictions:
m2garch=garchFit(~garch(1,1), data=stepSR$residuals,trace=F)
summary(m2garch)
The GARCH(1, 1) model is written:
$$y_{t} = μ + e_{t} , $$ $$e_{t} = σ_{t}*v_{t}, v_{t}\thicksim N(0,1), $$ $$σ^2_{t} = a_{0} + a_{1}*e^2_{t-1} + b_{1}*σ^2_{t-1} $$
Thus, the estimated GARCH(1, 1) model is: $$y_{t} = -9.7851* 10^{-19} + e_{t} , $$ $$e_{t} = σ_{t}*v_{t} \thicksim N(0,1), $$ $$σ^2_{t} = 1.6039 * 10^{-5} + 3.6567*10^{-1}e^2_{t-1} + 4.5820* 10^{-1}*σ^2_{t-1} $$
There are different diagnostic tests outlined in the aformentioned summary, performed on the residuals $R$ and/or the squared residuals $R^2$.
The Jarque-Bera and the Shapiro-Wilk tests are used in order to examine the normality assumption of the model residuals.
It seems that the null hypothesis of normality (p-values 3.831909e-06 and 0.01488866) is rejected, i.e. there is evidence of non normality of residuals.
Most of the remaining tests are based on the Ljung-Box Q-statistic to examine the autocorrelation of the residuals and/or the squared residuals.
The results indicate that there exists some autocorrelation in the residuals series.
On the contrary the tests indicate no autocorrelation in the squared residuals.
That is, the GARCH(1, 1) model did not capture adequately the time-varying characteristics of the return series.
arma11_garch11fit <- garchFit(formula= ~arma(1,1) + garch(1,1),
data=stepSR$residuals,
trace=F)
summary(arma11_garch11fit)
There are different diagnostic tests outlined in the aformentioned summary, performed on the residuals $R$ and/or the squared residuals $R^2$.
The Jarque-Bera and the Shapiro-Wilk tests are used in order to examine the normality assumption of the model residuals.
It seems that the null hypothesis of normality (p-values 0.00635555 and 0.1479702) is rejected, i.e. there is evidence of non normality of residuals.
Most of the remaining tests are based on the Ljung-Box Q-statistic to examine the autocorrelation of the residuals and/or the squared residuals.
The results indicate that there is no autocorrelation in the residuals series.
Also, the tests indicate no autocorrelation in the squared residuals.
That is, ARMA(1,1) + GARCH(1,1) model did capture adequately the time-varying characteristics of the return series.
forecast <- predict(arma11_garch11fit, 12)
# plot of forecasts with 1 standard error
par(mfrow=c(1,1))
UL <- forecast$meanForecast + forecast$meanError
LL <- forecast$meanForecast - forecast$meanError
predTS <- ts(forecast$meanForecast, frequency=12, start = c(2004, 12))
UL_TS <- ts(forecast$meanForecast, frequency=12, start = c(2004, 12))
LL_TS <- ts(forecast$meanForecast, frequency=12, start = c(2004, 12))
min_x <- min(stepSRresidualsTS, LL)
max_x <- max(stepSRresidualsTS, UL)
ts.plot(stepSRresidualsTS, predTS)
lines(predTS, col="red", type="o")
lines(UL_TS, col="blue", lty="dashed")
lines(LL_TS, col="blue", lty="dashed")
library(hydroGOF)
MSE <- mse(forecast$meanForecast, forecast$meanError)
MSE
$$MSE = 8.125* 10^{-5}$$


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Demonstrations
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Fly Controls
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2D Terrain
Start/stop animation with space bar.
Fly Controls
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Toggle wireframe with space bar.
Reset camera position/rotation with enter key.
Fly Controls
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Rotate with QE and arrow keys.


The developer service of the ShareMyScreen api allows developer to create
clients for the OAuth2 authentication.
As explained in the RFC, creating a client a compulsory to use the OAuth2
Once your client created, save the key and the secret value,
they will be usefull to authenticated your request to the login service
All requests must be HTTP request.
Request body must be JSON formated
Reply are JSON formated object in snake_case
Get all clients
This request return all the created clients
| Http Status Code | Description | Schema |
|---|---|---|
| 200 |
Array of clients |
Client Array |
Create a new client
This request create a new client
| Name | Description | Required | In | Schema |
|---|---|---|---|---|
| name |
New client name |
true | body | string |
| Http Status Code | Description | Schema |
|---|---|---|
| 201 |
Client created |
Client |
| HTTP status | Code | SubCode | Message | Comment |
|---|---|---|---|---|
| 400 | 1 |
Invalid request |
Check the request parameters twice |
|
| 403 | 1 | 1 |
Client exists |
Change the client name |
{
code: 0,
sub_code: 0,
message: ""
}
{
name: "",
key: "",
secret: "",
created_at: ""
}
[
{
name: "",
key: "",
secret: "",
created_at: ""
}
]
| HTTP status | Code | SubCode | Message | Comment |
|---|---|---|---|---|
| 400 | 1 |
Invalid request |
Check the request parameters twice |
|
| 403 | 1 | 1 |
Client exists |
Change the client name |
* Update user creation route from /v1/client to /v1/clients


A visual study on redesigning the icon set for our drivers application
It’s been 4 months since I was working with 21North Europ Assistance and 21North has its very own specialized driver partner application the more we thought through each part of the user experience the more we realized that the app was going to require a ton of custom icons. Nearly every part of the interface, from the Homescreen, to the Toolbar, to the Transition Designer, to the Gestures dropdown was going to require its own set of icons. So that quickly became my main job!
Design is always driven by context. Surprisingly, I found that designing for a professional driver app was one of the most complex contexts to work within. Even just for the icons! Homescreen icons have to be a certain size, and look a certain way. That is diﬀerent from the appearance of sidebar icons, which is diﬀerent from those you’d ﬁnd in a dropdown menu. Some icons re-appear in multiple places, at multiple sizes, and in multiple styles. Establishing consistency across all parts of Ambassador App interface meant that every icon had to be especially versatile. No symbols that looked great at one size, or in a certain style, but couldn’t be adapted to others.
Hick’s law states that decision-making time is lesser with minimal visual clutter. Elements like icons also add to the visual clutter. And, visually appealing interfaces are perceived as better, faster, easier, and users are more tolerant of errors.
Revamping of GUI of the Ambassador Application (icons and visual design improvements) after understanding the UX motives of the same. Colour orange was chosen as the primary colour (Also the colour used in your trademarked logo). Challenge was to accommodate the same without making it intrusive to the UX. Motive was the make it part of the user experience as seamlessly as possible. Icons were also re-designed keeping these goals in mind. It is simple, intuitive and eye catchy.
Homescreen icons were designed to be simple and modern. Each icon was reduced to its minimal form, expressing essential characteristics. Also, the icons were designed symmetrically with geometric forms to simplify them further and make the counter spaces more prominent.
The terminals were rounded oﬀ to give a smooth visual tone. Consistency was obtained by maintaining the thickness of the line and counter spaces. Stress was used to make them more legible in smaller screens. The principles used in type design were also used to design the icons here.
My icon design process begins on paper. I’m a big believer in that. It begins with drawing every imaginable possibility for that icon — what the subject matter or metaphor will be and what variations they could take. While in this conceptual phase, I try to remind myself to put everything down on paper — even random ideas that seem unrelated. The next stage is evaluation; analyzing each concept based on how well it ﬁts the goals, constraints, and context for this particular icon.
After spending a week or more on sketching, ﬁnally we started crafting it in tool. We were trying diﬀerent ways and playing around with the color and shapes. We tried line icons, solid icons, icons with background and we kept exploring for a while. Here are some of the ideas that we worked on.
The icons were designed in a construction rectangle to keep the shape uniformity across all icons. Making them look uniform required tweaking the shape itself and the counter spaces in the icons.
At the start, we had mapped out all the 17 main icons in our Ambassador App and planned to design every icon around its context. When the design was ﬁnished it was mocked on a mobile screen to check for consistency. All the screens were used to check the icons. The homepage had a diﬀerent set of icons than the list view page.
There were many iterations at this step which required tweaking. Some of the icons were discarded and redesigned to maintain the design language and uniformity.
As our ambassador are the actual fuel of business, we ﬁnd it necessary to take feedback from them. After the completion of each task , we ask them to share their experience with us. The idea was to keep it simple and straight forward. Because we believe that the purpose of creative feedback is to move the project forward and make enhancement in a better way.
Visual perception is one of the most productive and quick ways through which people are able to obtain information and get it processed by the brain. That is why the aspect of applying visual elements of high functionality in the interfaces such as icons and their impact on the general eﬃciency of the product has been an actual topic in the global design community for a long time.
The only aspect a designer is interested in using icons is speed.the vast majority of cases people ﬁx and perceive pictorial elements like icons and illustrations faster than words. A great proportion of users are visually-driven creatures by nature, so the following mechanisms of visual perception often work and should be considered in the design process:
“Well, it was fun and overall a great experience designing and setting up environment through visual design. The most important thing I learnt is that Visual design can go hand in hand with UX. And I think, we should always design to make it functional and beautiful rather than just working on beauty."


{% extends 'portfolio/index.html' %} {% load static %} {% block title %} Success {% endblock %} {% block styles %} {% endblock %} {% block content %} {% include "portfolio/headertwo.html" %} Message Sent Thank you for contacting me. I will get back to you as soon as possible. Cheers!!! Go Back {% endblock %}
Thank you for contacting me. I will get back to you as soon as possible. Cheers!!!


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Instructions for preparing final manuscript
Please keep the following in mind while preparing your final manuscripts.
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The deadline for submission of final camera-ready manuscript is Sunday, Dec. 30, 2018, 23:59 IST.
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Authors are encouraged to use LaTeX to format their manuscripts. The style file for preparing the final manuscript is available at the following link: IEEE conference templates
Instructions for uploading the final manuscript
Please note that the last date for uploading the final manuscript is DEC 30, 2018.
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Copyright and Reprint Permission: Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the per-copy fee indicated in the code is paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For reprint or republication permission, email to IEEE Copyrights Manager at<EMAIL_ADDRESS>All rights reserved. Copyright ©2018 by IEEE.
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\hspace{\columnsep}\makebox[\columnwidth]{ }}
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Los Altos Hacks IV
March 23 - 24, 2019
Juniper Aspiration Dome
1081 Innovation Way, Sunnyvale, CA
Keep me updated!
Apply Now!
Hacker MentorGet Ready!
Opening Ceremony starts in
Hacking In Progress!
Visit Dashboard View Submissions & WinnersLos Altos's fourth annual high school hackathon
We bring together hundreds of high school students from across the Bay Area to work together and make their ideas a reality.
We'll provide the food, refreshments and hacking spaces for you—the hackers—to do your magic. Just bring your ideas and your passion!
FAQ
What is Los Altos Hacks?
Los Altos Hacks is a high school hackathon—a 24-hour programming event where students work in teams to make hardware and software projects. This year, we aim to have around 350 attendees with a 1:1 gender ratio.
Who can participate?
Any high school student can participate. If you've graduated from high school, you can apply to be a mentor. If you're in middle school, you may be able to participate; please contact us at<EMAIL_ADDRESS>for more information.
How do I form or join a team?
There will be a session at the beginning of the hackathon for you to meet others and form teams. Each team may have a maximum of four people.
Does this cost money?
No! Los Altos Hacks is free for all participants—food, swag, and other costs are covered. We don't provide travel reimbursements, however.
What if I can't code?
No problem! Experience isn't required to attend. Plus, we'll have workshops where you can learn.
What should I bring?
Bring a valid student ID, a laptop, chargers, a reusable water bottle (we will not provide plastic bottles), and the signed Parent Packet (you can also complete it online). Power strips, sleeping bags, and toiletries are highly recommended.
What if I have dietary restrictions?
No problem! If you have dietary restrictions, simply add them to your application when you sign up, and we will accommodate for you! Additionally, each meal will have vegan, gluten free, and vegetarian options for everyone.
Is there a Code of Conduct?
Yes, there is! All attendees are required to review and abide by the MLH Code of Conduct during the event.
I have another question...
We're here for you! Send us an email at<EMAIL_ADDRESS>or feel free to reach out to us on Twitter or Facebook.
Schedule
Saturday - March 24
View Sunday
| Time | Event |
|---|
Sponsors
Interested in sponsoring us?
Shoot us an email at sponsor@losaltoshacks.com!


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I am web/android developer from the southeast asia and computer engineering graduate offering a strong foundation in software development and programming principles across multiple platforms. Experienced in object-oriented programming, debugging code, designing interfaces etc.
TIME
14%
ENERGY
5%
MONEY
1%
REASON TO LIVE
5%
HTML5
84%
CSS3
64%
BOOTSTRAP
50%
PHP
78%
JAVASCRIPT
50%
JQUERY/AJAX
50%
SQL
55%
JAVA
70%
ARDUINO
84%
ANDROID
89%
AFFINITY D/P
40%
University of the Visayas
Bachelor of Science in Computer Engineering
2014-2019
Lawaan 1, National High School
2008-2012
Lawaan 1, Elementary School
2002-2008
Mindweb eSolutions
2018
Computer Hardware Servicing
Computer System Servicing
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5 steps to mental wellbeing
Practical advice to help you feel mentally and emotionally better
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Healthy weight
Check your BMI using our healthy weight calculator and find out if you're a healthy weight
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Exercise
Programmes, workouts and tips to get you moving and improve your fitness and wellbeing
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Sleep and tiredness
Find out how to sleep well and the common lifestyle factors that are making you tired
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Eat well
All you need to know about the major food groups and a healthy, balanced diet
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Alcohol support
Find out the health benefits of reducing your alcohol intake and get tips on cutting down
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Quit smoking
Learn about the benefits of quitting smoking, including better health and increased fertility
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Healthy body
Get some practical information and advice for keeping your body in tip-top health
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Sexual health
Everything you need to know about sexual health, including contraception, STIs and good sex


To begin, click on the "Generate Password" button.
You will be then be prompted to answer a series of questions about your password criteria.
Your password must:


--- layout: post title: ! '''gief''s grief' date: '2008-12-25T00:43:00-08:00' tags: - arcade games - What's happening to my body? - Super Metroid tumblr_url: http://supplethink.tumblr.com/post/51170970344/giefs-grief ---


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ST.
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Locality:
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T1A01-web-scott
T1A02-objects-arrays-scott
T1A03-forloops-scott
T1A04-decisions-scott
T1A05-loops and decisions-scott
t1A06-functions-scott
T1A07 1D arrays-scott
T1A08-moving objects-scott
T1A09-2D arrays-scott
T1A10-events-scott
T1A11-if else-scott
T1A12-strings-scott
T1A13-math-scott
T1A14-passing to function-scott
T1A15-objects-scott
t2A01-classes-new-scott
T2A02-extends-classes-scott
T2A03-spy-scott
T2A04-move background-scott
T2A05-final-scott
T2A06-auto image with collision-scott
T2A07-magic pyramid-scott
T2A08-scoring-scott
X-T2A10-sound-scott
con2
final porject-scott


Provides a means to style plots through cascading style sheets. This separates the aesthetics from the data crunching in plots and charts.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.1.2) |
| Imports: | graphics, stats, utils |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2018-02-25 |
| Author: | Tomasz Konopka [aut, cre] |
| Maintainer: | Tomasz Konopka <tokonopka at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | Rcssplot results |
| Reference manual: | Rcssplot.pdf |
| Vignettes: |
Styling R plots with cascading style sheets and Rcssplot |
| Package source: | Rcssplot_0.3.0.tar.gz |
| Windows binaries: | r-devel: Rcssplot_0.3.0.zip, r-release: Rcssplot_0.3.0.zip, r-oldrel: Rcssplot_0.3.0.zip |
| OS X binaries: | r-release: Rcssplot_0.3.0.tgz, r-oldrel: Rcssplot_0.3.0.tgz |
| Old sources: | Rcssplot archive |
Please use the canonical form https://CRAN.R-project.org/package=Rcssplot to link to this page.


WTFormula
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An Online Cheatsheet for Engineers
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Identifies the path to the file that contains the statement to mark a target class or function as a friend.
The <cxxFriendDeclarationFile> element identifies the path to the file that contains the declaration of the class or function as a friend. This is the friend declaration not the declaration of the friend itself. The <cxxFriendDeclarationFile> element has two attributes. The name attribute always has the value "filePath" and the value attribute has the name of the file where the friend declaration is made.


The Slate supports a simple constraint mechanism. The mechanism is really just a simple notification mechanism, and allows scripts to be executed when certain kinds of operations are performed on items.
First, we'll create a Slate with some items on it:
source $tycho/editors/slate/doc/internals/newslate.itcl
set a [$slate create Frame 30 30 70 50 -color green -tags moveable]
set b [$slate create Frame 100 100 130 130 \
-color peachpuff -tags moveable]
set l [eval $slate create line \
[$slate aspect $a se] \
[$slate aspect $b nw] \
-tags moveable -arrow last]
$slate constraint $a "move" {lambda id x y -> \
$slate reshape $l $x $y "start"}
$slate constraint $b "move" {lambda id x y -> \
$slate reshape $l $x $y "end"}
Now, suppose we also want the boxes to move if we move the line. This
is simple enough -- attach a constraint to the line, so that
when it is moved, both boxes are moved:
$slate constraint $l "move" {lambda id x y ->
$slate move $a $x $y; \
$slate move $b $x $y }


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Investment Glossary
-
Accelerators
Accelerators advance the growth of existing companies with an idea and business model in place. These programs build upon the startups’ foundations to catapult them forward to investors and key influencers.
entrepreneur.com -
Angel Investors
Professional angel investors are normally approached when it comes to the seed round and beyond. They are willing to fund smaller operations than Venture Capital, may be more flexible in terms, and can offer a lot of value in wisdom and connections. Angel investors can be approached directly online, at live pitch events, and through introductions from other startup founders.
forbes.com -
Angel Groups
These are groups of angel investors who band together to make investments in startups. This enables them to invest with more confidence, with larger check sizes, and with lower exposure to risk.
forbes.com -
Crowdfunding
In this instance backers (investors) of the companies get equity in return, thus becoming shareholders of the companies and being able to participate in the future returns the startups might be able to provide to investors. This type of investing is often carried by platforms that serve as aggregators, choosing startups and inviting backers to invest in them through the platform, which get to charge a fee per deal closed.
startupxplore.com -
Incubators
Incubators support startups entering the beginning stages of building their company. The startups possess an idea to bring to the marketplace, but no business model and direction to transition from innovative idea to reality.
entrepreneur.com -
Private Equity
At its most basic, is equity — shares representing ownership of, or an interest in, an entity — that is not publicly listed or traded. Private equity is a source of investment capital that comes from high net worth individuals and firms. These investors buy shares of private companies — or gain control of public companies with the intention of taking them private and ultimately delisting them from public stock exchanges. Large institutional investors dominate the private equity world, including pension funds and large private equity firms funded by a group of accredited investors.
investopedia.com -
Seed
Seed financing, as the name implies, is the relatively small amount of money a business needs early on to get started. Usually businesses seeking a seed round are still in the concept stage and need just a small capital infusion to cover expenses until they can start earning revenue. Seed money can also be a helpful tool for attracting future money from bigger investors. Because seed capital is smaller and more of a high-risk investment, it generally will come from friends and family or smaller angel investors.
smallbusiness.yahoo.com -
Venture Capital
Venture Capital Firms are the holy grail of investors for fundraising entrepreneurs. They come with the biggest checks, the most power to fuel success and gaining market share, and most juice when it comes to achieving more credibility and visibility.More venture capital firms are looking at and are participating in earlier funding rounds. Though it is much more likely these investors will show up and be secured in Series A, B and C fundraising rounds than earlier.
forbes.com


| MATLAB 文件帮助: cv.sqrBoxFilter | 查看 cv.sqrBoxFilter 的代码 | Index |
sqrBoxFilter Calculates the normalized sum of squares of the pixel values overlapping the filter
dst = cv.sqrBoxFilter(src)
dst = cv.sqrBoxFilter(src, 'OptionName',optionValue, ...)
src
and the type specified.class(src)
). Default -1,
which chooses between single
or double
(double
if input image is
also double
, single
otherwise). See cv.filter2D for details.[x,y]
. The default value [-1,-1] denotes
that the anchor is at the kernel centerFor every pixel (x,y) in the source image, the function calculates the sum of squares of those neighboring pixel values which overlap the filter placed over the pixel (x,y).
The unnormalized square box filter can be useful in computing local image statistics such as the the local variance and standard deviation around the neighborhood of a pixel.


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Magister Gauen:
The only reason why Kaiena concocted this plan was to learn the secrets of the Giants' research documents.
She only mentioned the followers of Beleth as an excuse to justify her actions.
The fact that she ordered Gaius to involve the monster and carry out this plan tells me that something is not right.
Is that so?


| Elements' Summary |
| StartHundredthSeconds |
contains the start hundredth seconds (0-99) for the range.
|
| StartSeconds |
contains the start seconds (0-59) for the range.
|
| StartMinutes |
contains the start minutes (0-59) for the range.
|
| StartHours |
contains the start hour (0-23) for the range.
|
| StartDay |
contains the start day of month (1-31 or 0 for a void date) for the range.
|
| StartMonth |
contains the start month of year (1-12 or 0 for a void date) for the range.
|
| StartYear |
contains the start year for the range.
|
| EndHundredthSeconds |
contains the end hundredth seconds (0-99) for the range.
|
| EndSeconds |
contains the end seconds (0-59) for the range.
|
| EndMinutes |
contains the end minutes (0-59) for the range.
|
| EndHours |
contains the end hour (0-23) for the range.
|
| EndDay |
contains the end day of month (1-31 or 0 for a void date) for the range.
|
| EndMonth |
contains the end month of year (1-12 or 0 for a void date) for the range.
|
| EndYear |
contains the end year for the range.
|
| Elements' Details |
StartHundredthSeconds
unsigned short StartHundredthSeconds;
- Description
- contains the start hundredth seconds (0-99) for the range.
|
|
StartSeconds
unsigned short StartSeconds;
- Description
- contains the start seconds (0-59) for the range.
|
|
StartMinutes
unsigned short StartMinutes;
- Description
- contains the start minutes (0-59) for the range.
|
|
StartHours
unsigned short StartHours;
- Description
- contains the start hour (0-23) for the range.
|
|
StartDay
unsigned short StartDay;
- Description
- contains the start day of month (1-31 or 0 for a void date) for the range.
|
|
StartMonth
unsigned short StartMonth;
- Description
- contains the start month of year (1-12 or 0 for a void date) for the range.
|
|
StartYear
unsigned short StartYear;
- Description
- contains the start year for the range.
|
|
EndHundredthSeconds
unsigned short EndHundredthSeconds;
- Description
- contains the end hundredth seconds (0-99) for the range.
|
|
EndSeconds
unsigned short EndSeconds;
- Description
- contains the end seconds (0-59) for the range.
|
|
EndMinutes
unsigned short EndMinutes;
- Description
- contains the end minutes (0-59) for the range.
|
|
EndHours
unsigned short EndHours;
- Description
- contains the end hour (0-23) for the range.
|
|
EndDay
unsigned short EndDay;
- Description
- contains the end day of month (1-31 or 0 for a void date) for the range.
|
|
EndMonth
unsigned short EndMonth;
- Description
- contains the end month of year (1-12 or 0 for a void date) for the range.
|
|
EndYear
unsigned short EndYear;
- Description
- contains the end year for the range.
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Bug summary:
The color of the top right chevron is red when it should be new on podcasts' album covers
Observed Behavior (a description of what happened with the app):
When I add a new subscription to my list of subscriptions, the little chevron in the top right corner of the podcast's album cover is red when it should be blue
Expected Behavior (a description of what you expected to happen):
When I add a new subscription to my list of subscriptions, the little chevron in the top right corner of the podcast's album cover should be blue
Steps to Reproduce (the steps to reproduce the problem):
1. From the main screen, select the hamburger option icon on the top left corner of the app to open the drawer
2. Select "Subscriptions" from the displayed options
3. Click "Add Podcast" on the Subscriptions page
4. Click the "Search Itunes" button
5. Select a podcast from the list that appears
6. Hit the "Subscribe" button on the podcast's page
7. Hit the back up in the top left corner until you arrive back at the "Subscriptions" page
Additional information:
Attachments:


Fresh daily and handsmade.
Our innovation and creativity has enabled us to offer the widest range of pizzas allowing our customers
to choose from our range of classic,favorite, signature and something special pizzas.
Our pizzas are
made with thin crusts, lots of toppings, and the perfect blend of sauces.
Pazzi per la pizza gives
each and every customer quality and value for their money.
But, that’s not all. We also offer great
side orders like potato wedges, chicken wings and pop-itz.
And of course, we have our unforgettable
hot subs - a French baguette filled with mozzarella cheese and toppings of your choice.
Pazzi per la
pizza - Try Something Amazing.


Austrian Army Says Soldier Mauled to Death by Service Dogs
by ASSOCIATED PRESSBERLIN (AP) — The Austrian army says a 31-year-old soldier appears to have been killed by two service dogs he was tasked with feeding.
The army said an officer spotted the two Belgian Shepherd dogs running loose at the barracks south of Vienna early Thursday. The fatally injured staff sergeant was subsequently found inside the dogs’ kennel.
An investigation has been launched into the cause of the attack.
Austrian public broadcaster ORF quoted a Defense Ministry spokesman saying one of the dogs was a fully trained service dog while the second, aged about six months, was about to undergo training.
Austrian President Alexander Van der Bellen has expressed his condolences to the victim’s family and to his fellow soldiers.
The Austrian army has 170 service dogs.
Copyright © 2019 courthousenews.com


FILM TITLE: PERFORMANCE DIRECTORS: DONALD CAMMELL and NICHOLAS ROEG COUNTRY: ENGLAND ( 1968/1969 ) CINEMATOGRAPHY: NICHOLAS ROEG SUPER FEATURES: ONE OF THE BEST FILMS EVER DONE! CAST: Mick Jaegger, James Fox, Michelle Bretton, Anita Pallenberg.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
If you like films that challenge every inch of your imagination, body, spirit and soul, this is the film to see! it is one of the best written, filmed and spectacular films ever done and one of a kind. Few have really come close to the complexity of this film, that just about dares you to see it again, just so you can go look for yet another thread and meaning.
However, this film is not for every one, though it features some of the best known talent in the world of arts, specially music, which is another astounding element used so powerfully through out the visual madness of this film. This style of musical filming, was adopted by Nicholas Roeg, who is a master of music timing and spacing, in all of his films. The passages with music tend to enhance the film twice fold, rather than just show off a pasture, or grandiose sight. In PERFORMANCE, the music is the enzyme which carries the film, while also, being the drug, that confuses you to no end.
This film put Randy Newman ( Long Dead Train ), Merry Clayton ( Gimme Shelter ) Ry Cooder ( Bootleneck guitar ), Buffy Saint Marie ( Dyed, Dead, Red ) and Jack Nietzche ( original music, and all musical arrangements ) on the map as people whose talent and ability would go beyond the mere fancy of a hit song. And of course, it had MICK JAGGER in his first film.
This film was first made in late 1966, and early 1967, and was on the shelf for almost two full years, because Warner Brothers was afraid of how they could present something so weird, and unusual. Eventually, the fame of Mick Jagger, and the success of both Don Cammell and Nicholas Roeg, forced the studio to release the film, in a version which was at least thirty minutes shorter for American audiences ( damn it !!! ), because of its sexual content, in the form of total disregard for nudity, manners, and poor taste in several scenes.
And one must remember that this film has at least two or three levels running at all times. We may be seeing what one person is saying, and immediately, a visionary scene happens, which depicts what it is the person is really saying, or thinking. In this sense, the film is extremelly difficult to explain, because there are two stories. One which we may think is the real one, and the one which we think is the invisible one, or the one which is felt, and not generally worked with. However, the actions of both extremists, the performer ( James Fox ) and the retired rock star Mick Jagger ) are so extreme and off the wall, that it becomes almost impossible to define where one level ends, and the next starts. In between, it has amazingly prophetic lines of dialogue, specially to Mick Jagger ( James Fox remarks about Mick's make up and effeminate clothing " .... you'll look funny when you are forty ... ") which I am sure was not too pleasing to Mick, and might still not be. But his presence, does make the film really something else. And he is in peak form as a performer in this film ( Memo From Turner ) and in a scene with some fluorescent lamps on his hands.
The story goes something like this.
A performer ( hired killer ) is trying to quit his group, after one final job, who happened to have been an old friend of his, and the wrong one to mess with. The performer ( James Fox ) tries to change his appearance, and decides to take up in the Soho flats, where sex, drugs and rock'n'roll are the mode of living. While he is on the run, trying to figure out where he is going to go, he meets a stoned musician ( looks like Hendrix, but isn't ) who is talking to some one else about the good hits, and stuff one could find there, and that he had just left the place, because it was too heavy. The performer, jumps at the chance to hide in a hitherto unknown and unexpected part of town, where he may succeed at evading his pursuers. Arriving at the flat where the retired rock star lives with two women ( Anita Pallenberg - Keith Richards' wife, and Michelle Bretton - French actress who lived with Mick for a while, who looked like a twin of Marianne Faithfull ), he requests to rent the room. He is turned down, but insists. He finally gets the room. And the fun really gets started here.  He goes out in wigs and clothes provided by the girls.  They show up on a given day, and come to pick up the performer. The performer, goes up to the rock star's room and plants a bullet on his head ( the camera follows it ) and then leaves. We only see the wig and body move. When the car moves off, a face turns, and ........ we can't give it away.
AND WE ARE STUCK. WHAT.? How the heck...?
There are several hints through the film. The most obvious one, and probably the most difficult to explain, is when Anita Pallenberg, amidst one of the scenes where they gave the performer several mushrooms ( they are trying to find out who he is, and it is this invasion which leads the performer to kill the rock star in the end ) and when he inquires about the rock star, and why he isn't on the stage, Anita says " ... he's stuck, he's stuck ... " and she tells a story about him playing around with mirror magic ( staring into a mirror ) and what happened. She says that " ... he lost his demon ... it's out there, somewhere ... " which is harmless enough for now. I find this one of the best clues to this movie. If one accepts the premise that one being has two sides, one evening in a fit of drugs and bad meditational experience, the person split in the two obvious parts. And one could say that the 'demon' has become the performer ( who has no history at all, and his boss comments on that ) and the 'real' person is the rock star. However, one side without the balancing agent produces disturbing effects. For the rock star, it is the inability to find his spark. And for the performer, it is his inability to find a relative piece of mind, in a world where only violence and hatred persists. And my estimation,is that since they are one and the same person, they are doomed to meet at some point in time. Since we met them when they were separated, we do not know, or have a hint as to who is the real person. When they meet, eventually a choice has to be made ( cross roads ) and one will be gone. In the film, the rock star is the body to go. However, being that we see him alive in the end, the one who really went was the performer. And the rock star is now reborn, I presume. End of film.
And you will sit for an hour or two wondering what hit you in the head.
The use of the visual elements, the sensory part of the film, are disturbing at times, and loving at others. For example. The performer is doing one of his jobs, on a beautiful Bentley ( or Rolls ) and destroys it first with some acid solution, and then begins shaving the man's head, and torturing him. He doesn't kill the guy, but tells him this is a lesson. The sensory part of the film shows the performer making love to a woman, the performer being birched severely, a woman having an orgasm, and the whipped person screaming, and a court of law discussing a case ( we hear the judge, and see his face close up ) and when the deed is done, he leaves.
The sensory parts of the film centered around the rock star, are all geared towards sex with the two women and the rock star ( a scene mixes everyone in such a fast paced cut, that it confuses the viewer ), and a preponderance of drugs. The dialogue is strong, and unusual important, offering what may be the hints to the real story. The only unexplainable parts, to me, regards the performer's boss, who in the song Memo From Turner, is played by Mick Jagger, another suggestion that the rock star may be the real person.
Along with THE ROCKY HORROR PICTURE SHOW, this film is the most famous of all midnight show'ers. And a great one, it is ,too. You'll end up seeing this film more than once, to try and answer your own questions. That tells you how good of a film it really is.
MUST SEE. PERIOD. GREAT FILM. SUPER MUSIC. WRITTEN LIKE NO OTHER BEFORE, OR SINCE.
5 GIBLOONS Copyright (c) Pedro Sena 1994
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Today we've just created some BBLog Signature Banners for your Battlefield Soldier.
You can find the link in your personal account settings, beside the signature editor, here in the board.
You can also use this signature everywhere else.
Have fun with it.

You can find the link in your personal account settings, beside the signature editor, here in the board.
You can also use this signature everywhere else.
Have fun with it.


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SetBased Operations (Patches)
Patch command is used to perform partial document updates without having to load, modify, and save a full document. This is usually useful for updating denormalized data in entities.
(
Allow FLATTEN results and check for the newVal results)
REMEBER to revert using this
link
Visit RavenDB Documantation on Patches


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There are so many dogs that really needs urgent help, so instead of contribute to dog breeders and buy puppies, rescue an existing dog that really wishes to be your new best friend.