8. Economy as a complex system of agents with information interactions
In all cases before we understood the term "agent" as a human who is an actor of social processes. Now we should make the sense of the term a little wider because we are going to rewrite our scheme of information interactions under the "agent-based computational economics" method (Leigh Tesfatsion; Philip E. Agre).
According contents of previous sections we will describe "interactions of autonomous agents channeled through socio-economic institutions" (Leigh Tesfatsion) where types of agents include following:
1) Macro-technology;
2) Information space;
3) Institutional structure;
4) Collective information model of environment;
5) Human participant of interactions (he is an "agent" in narrow sense of this term).
From our point of view each of these five agents has much or less human component because they functioning realize through certain human activity. So when we define five types of agents here we distinguish some kind of specific human activity related with each of the agents.
To be more precise in terms let the fifth type of agents ("human participant") will be called as a "sizer". The same name has some similar models of self-replicated objects from mathematical genetics. See a survey on "self-replication" topics in (Moshe Sipper).
Summarize all above we can define the main functions and features of selected five types of agents ("what these agents produce in the system"). At the first step of building an agent-based model of the complex socio-economic system in the framework of our methodology we, of course, make some simplifications:
1. "Macro-technology" agent produces a resource for sizers' living. The quantity of the resource depends on parameters of sizers' distribution over the set of jobs belonged to the macro-technology. Sizers' optimizing behavior that looks in our case as their wish to find the best distribution leads the whole system of agents to an equilibrium state. In principal the system can have several parallel macro-technology agents.
2. "Information space" agent produces for each sizer in the system a perimeter of the zone of his environment where he can recognize a sub-set of sizers for interactions (choice area). The boundaries of the choice area depend on the ICT development level and on the strength of changes in the system (including sizers' states). So then more steady stable state sizers have then in average their choice area is wider. This agent makes local a sizer's searching of optimal distribution over the set of jobs. In general the system has only one agent of this type.
3. "Institutional structure" agent produces a sub-space for sizers interactions. Such sub-space defines rules of sizers' information images building and makes a certain simple projection of macro-technology set of jobs. By this way sizers can get wider choice areas from the "information space" agent and in result they have more chances to find their optimal distribution over the set of jobs. The system can have several agents of this type.
4. "Collective information model" agent produces the best (and Pareto optimal) plan for changing current configuration of sizers' distribution over the set of jobs. It works similar to "how agents are learning about other agents" (Jose M. Vidal, Edmund H. Durfee). This agent appears for each group of sizers those "see" each other in their choice areas. The same picture takes place for each parallel sub-space created by "institutional structure" agents. Sizers exchange through the collective model by their suggestions on re-configuration of current distribution over jobs. The best (by output) suggestion registered in the collective model to the end of time for sizers' "discussions" becomes a real configuration of jobs distribution for the next production cycle.
5. "Sizer" agent produces the maximum of his output by changing his place in the macro-technology chain. He can also initiate the same changes for other sizers from his choice area. His suggestions will produce the real growth of his output if it approved by other sizers from his choice area (criterion is Pareto optimum). He can choose different sub-spaces to "discuss" with other sizers of the system how they can get a better output. The system can have many agents of this type.
General relations between these types of agents see at the Fig. 8.
Fig. 8.
Green boxes on the Fig. 8 mean types of agents. Yellow boxes – intermediate objects of the system that help to show relations between agents. As one can see on the Fig.8 the central element of the system is the "collective information model" agent. A set of these agents provides the main process of the system functioning (information interactions between sizers) and reflects current states of macro-technology, institutional structures and sizers themselves. The "information space" agent specifies the precision of this reflection and its boundaries.
More detailed working out of the model should be plunged into a framework of the appropriate modeling method. It could be well-known SWARM method (http://www.soc.surrey.ac.uk/JASSS/1/2/4.html) or more mathematically well-developed TAO (http://www.rriai.org.ru/TAO/).
Next section - Conclusion
Previous section - 7. General picture of economic system functioning through information interactions


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If you want to see more of any of this select a topic and you will be transported to picturesquephotoviews.com to a page listing the blog posts on that topic.


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Enabling tools for proteomics
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- Genome Canada
- Ontario Genomics Institute
- Canada Foundation for Innovation
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- Canada Research Chair


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A simple product carousel. Similar to example 1, only this one has infinite scrolling enabled. You can drag this with your mouse and, if you have a touch screen, with your finger.
[ Github ] [ Example 1 ] [ Example 2 ] [ Example 3 ] [ Example 4 ] [ Example 5 ]


--- layout: post status: publish published: true title: DRYing Grails Criteria Queries author: display_name: Geoff Lane login: admin email<EMAIL_ADDRESS>url: http://www.zorched.net author_login: admin author_email<EMAIL_ADDRESS>author_url: http://www.zorched.net date: '2009-09-02 10:47:59 -0400' date_gmt: '2009-09-02 16:47:59 -0400' categories: - Code - Web - Groovy tags: - groovy - meta-programming - grails - DRY ---
When you're writing code, Don't Repeat Yourself. Now say that 5 times. *rimshot*
One of the things that I find myself repeating a lot of in many business apps is queries. It's common to have a rule or filter that applies to many different cases. I came across such a situation recently and wanted to figure out a way to share that filter across many different queries. This is what I came up with for keeping those Criteria DRY.
To start with, I'll use an example of an Article. This could be a blog post or a newspaper article. One of the rules of the system is that Articles need to be published before they are visible by end users. Because of this seemingly simple rule, every time we query for Articles, we will need to check the published flag. If you get a lot of queries, that ends up being a lot of repetition.
Here's our example domain class: {% highlight groovy %} package net.zorched.domain class Article { String name String slug String category boolean published static constraints = { name(blank: false) slug(nullable: true) } } {% endhighlight %}
Now we need to add a query that will retrieve our domain instance by its slug (a slug is a publishing term for a short name given to an article, in the web world it has become a term often used for a search engine optimization technique that uses the title instead of an artificial ID). To perform that query we might write something like this on the Article class: {% highlight groovy %} static getBySlug(String slug) { withCriteria(uniqueResult:true) { and { eq('approved', true) eq(' slug', slug) } } } {% endhighlight %}
We want to query based on the slug, but we also want to only allow a published Article to be shown. This would allow us to unpublish an article if necessary. Without the approved filter, if the link had gotten out, people could still view the article.
Next we decide we want to list all of the Articles in a particular category so we write something like this, again filtering by the approved flag. {% highlight groovy %} static findAllByCategory(String category) { withCriteria() { and { eq('approved', true) eq('category', category) } } } {% endhighlight %}
Two simple examples like this might not be that big of a deal. But you can easily see how this would grow if you added more custom queries or if you had some more complicated filtering logic. Another common case would be if you had the same filter across many different domain objects. (What if the Article had attachments and comments all of which needed their own approval?) What you need is a way to share that logic among multiple withCriteria calls.
The trick to this is understanding how withCriteria and createCriteria work in GORM. They are both implemented using a custom class called HibernateCriteriaBuilder. That class invokes the closures that you pass to it on itself. Sounds confusing. Basically the elements in the closure of your criteria queries get executed as if the were called on an instance of HibernateCriteriaBuilder.
e.g. {% highlight groovy %} withCriteria { eq('a', 1) like('b', '%foo%') } {% endhighlight %}
would be the equivalent of calling something like:
{% highlight groovy %} def builder = new HibernateCriteriaBuilder(...) builder.eq('a', 1) builder.like('b', '%foo%') {% endhighlight %}
That little bit of knowledge allow you to reach into your meta programming bag of tricks and add new calls to the HibernateCriteriaBuilder. Every Class in groovy has a metaClass that is used to extend types of that Class. In this case we'll add a Closure that will combine our criteria with other criteria like so: {% highlight groovy %} HibernateCriteriaBuilder.metaClass.published = { Closure c -> and { eq('published', true) c() } } {% endhighlight %}
This ands together our eq call with all of the other parts of the passed in closure. Now we can put the whole thing together into a domain class with a reusable filter.
{% highlight groovy %} package net.zorched.domain import grails.orm.HibernateCriteriaBuilder class Article { static { // monkey patch HibernateCriteriaBuilder to have a reusable 'published' filter HibernateCriteriaBuilder.metaClass.published = { Closure c -> and { eq('published', true) c() } } } String name String slug String category boolean published Date datePublished def publish() { published = true datePublished = new Date() } static def createSlug(n) { return n.replaceAll('[^A-Za-z0-9\\s]','') .replaceAll('\\s','-') .toLowerCase() } static findAllApprovedByCategory(String category) { withCriteria { published { eq('category', category) } } } static getBySlug(String slug) { withCriteria(uniqueResult:true) { published { eq(' slug', slug) } } } static constraints = { name(blank: false) datePublished(nullable: true) slug(nullable: true) } } {% endhighlight %}
And there you have it. Do you have any other techniques that can be used to DRY criteria?


#include <search.hh>
Inherits Gecode::Search::Stop.
List of all members.
Detailed Description
Stop-object based on time
Definition at line 179 of file search.hh.
|
Public Member Functions |
| | TimeStop (unsigned long int l) |
| | Stop if search exceeds l milliseconds (from creation of this object).
|
| unsigned long int | limit (void) const |
| | Return current limit in milliseconds.
|
| void | limit (unsigned long int l) |
| | Set current limit to l milliseconds.
|
| void | reset (void) |
| | Reset time to zero.
|
| virtual bool | stop (const Statistics &s) |
| | Return true if time limit is exceeded.
|
Protected Attributes |
| clock_t | s |
| | Clock when execution should stop.
|
| unsigned long int | l |
| | Current limit in milliseconds.
|
Constructor & Destructor Documentation
| Gecode::Search::TimeStop::TimeStop |
( |
unsigned long int |
l |
) |
[inline] |
Stop if search exceeds l milliseconds (from creation of this object).
Definition at line 96 of file stop.icc.
Member Function Documentation
| unsigned long int Gecode::Search::TimeStop::limit |
( |
void |
|
) |
const [inline] |
Return current limit in milliseconds.
Definition at line 100 of file stop.icc.
| void Gecode::Search::TimeStop::limit |
( |
unsigned long int |
l |
) |
[inline] |
Set current limit to l milliseconds.
Definition at line 105 of file stop.icc.
| void Gecode::Search::TimeStop::reset |
( |
void |
|
) |
[inline] |
Reset time to zero.
Definition at line 110 of file stop.icc.
| bool Gecode::Search::TimeStop::stop |
( |
const Statistics & |
s |
) |
[virtual] |
Member Data Documentation
Clock when execution should stop.
Definition at line 182 of file search.hh.
Current limit in milliseconds.
Definition at line 184 of file search.hh.
The documentation for this class was generated from the following files:


Ocean [ap00], ocean, in The Outer Sea
Last updated Turn #119
Ocean [ap00], ocean, in The Outer Sea
------------------------------------------------------------------------
5: The Savvy Aardvark [ha5r], ship, 2 hulls, 1 rowing port, 6 sails,
5: 10% damaged, arrived from Ocean [ap01], owner:
5: Phantasm [n4b], Imperial Empire, knight, with two workers,
5: eight sailors
6: The Savvy Aardvark [ha5r], ship, 2 hulls, 1 rowing port, 6 sails,
6: 10% damaged, departed for Ocean [ap86].
Routes leaving Ocean:
North, to Ocean [ao00], 6 days
East, to Ocean [ap01], 6 days
South, to Ocean [aq00], 6 days
West, to Ocean [ap86], 6 days
Inner locations:
Island [aa0r], island, 1 day, owner:
Cyclops [ec1e], cyclops, number: 34


Eshwarappa calls Siddaramaiah 'mad' for eyeing CM post
by Manjunath Hegde BomnalliMinister for Rural Development and Panchayatraj (RDPR) K S Eshwarappa has called CLP leader Siddaramaiah 'mad'.
"Siddaramaiah divided the Congress, through groupism, and toppled coalition government. No Congress leader is with him due to his arrogance and selfishness. But, he has gone mad to become the chief minister again," Eshwarappa said.
He also challenged Siddaramaiah to step down as leader of the opposition in Assembly if BJP wins at least eight seats in the byelections. "I will resign as minister if we do not win eight seats. Will Siddaramaiah accept this challenge?" he asked.
Siddaramaiah did not allow leaders from backward classes to grow, and he is dominating, though leaders like Mallikarjun Kharge and G Parameshwara worked for the Congress all these years. Let him say that he had no role in the defeat of G Parameshwara in Koratagere, Eshwarappa noted.
JD(S) wants to be in power by joining hands with either the BJP or Congress as it lacks strength on its own, he added.


Cognitive Language Interface¶
Type¶
Predicate¶
Conditional¶
VariableMap¶
-
class
pysigma.structures.
VariableMap
(mapping_func, domain, codomain, dynamic=False)[source]¶ Class type for declaring mappings on relational variables in pattern elements. Wraps around a user-defined mapping function and records the one-to-one correspondence between inputs and outputs.
Since relational variables can be viewed as non-negative finite integer-valued variables, a VariableMap instance therefore declares an integer-valued mapping with finite domain.
The domain and codomain are assumed fixed, so they should be provided during initialization. The mapping can be computed either lazily at runtime or pre-computed at initialization. This flexibility is to allow dynamic mappings such as neural attention modules.
Only injective mapping can be accepted. This is because the semantic of mapping two relational variable’s values to a single value is ill-defined. The injectivity is checked during set_map() by comparing the cardinality of the image and the cardinality of the domain.
- Parameters
mapping_func (callable) – a user-specified function. Takes a numpy array of integers as input, and returns a numpy array of integers of the same size. Each entry in the output array corresponds to the value of f(x) of input x at the same index in the input array.
domain (set of int) – The domain of the mapping.
codomain (set of int) – The codomain of the mapping.
dynamic (bool, optional) – Indicates whether the mapping is dynamic. If
True
, then mapping_func will be called each time a mapping dictionary is desired, i.e., when get_map() or get_inverse_map() is called. Otherwise, mapping_func will only be called once during initialization of this VariableMap instance, and the result will cached. Defaults toFalse
.
-
mapping_func
¶
-
domain
¶
-
codomain
¶
-
dynamic
¶
-
map
¶ The mapping cache.
- Type
dict
-
image
¶ Image of the map. Should be a subset of
self.codomain
.- Type
set
-
set_map
()[source]¶ Set
self.map
by obtaining the mapping dictionary fromself.mapping_func
.- Raises
ValueError – If self.mapping_func does not return a numpy array or returns one with wrong data type.
ValueError – If
self.mapping_func
does not return a numpy array with the same size as the input array.ValueError – If
self.mapping_func
contains values not in the codomain.ValueError – If
self.mapping_func
is found to be not injective.
-
get_map
()[source]¶ Returns the mapping dictionary, the map’s domain, and the map’s image.
If dynamic, then calls set_map() to re-compute the dict first, otherwise returns the cached one.
- Returns
A 3-tuple containing the data
(map_dict, domain, image)
.- Return type
tuple
-
get_inverse_map
()[source]¶ Returns the inverse map’s mapping dictionary, the inverse map’s domain (original map’s image), and the inverse map’s image (should be the same as the original map’s domain)
Note that because injectivity is guaranteed, computing an inverse map is possible.
If dynamic, then calls set_map() to re-compute the dict first, otherwise returns the cached one.
- Returns
A 3-tuple containing the data
(inv_map_dict, inv_image, inv_domain)
.- Return type
tuple
FactorFunction¶
Summarization¶
-
class
pysigma.structures.
Summarization
(sum_func)[source]¶ The decorator class for the custom summarization callback procedures which will be called during the outward summarization step in the Expansion / Summarization Factor Node (ESFN).
Provides the decorator
@Summarization
.Note
The custom callback function should have the following signature:
- Parameters
content_type ({'distribution', 'particles', 'both'}) – The type of the content to process for the current execution.
rv_info (OrderedDict) – Information / metadata regarding the random variables of the message. Each key-value pair in the dictionary is key-ed by the random variable’s name
var_name : str
and contains a 2-tuple(var_size : int, constraints : set of torch.distributions.Constraint)
as the value. Note that rv_info is ordered, and this order of the random variables will be respected by entries in events and log_densities.batch_shape (torch.Size) – A size-2 torch.Size list representing the batch dimension shapes. The first dimension is the batch dimension to be summarized over and reduced, and the second dimension should be left untouched.
dist (torch.distributions.Distribution, optional) – The batched distribution instance representing the message. dist ‘s batch shape is batch_shape, and its event shape is the sum of the sizes of all random variables. This field will be provided when content_type is
distribution
orboth
, or will be leftNone
when content_type is particles.events (tuple of torch.Tensor, optional) – The tuple of event value tensors. Each entry is a 2D tensor corresponding to one of the random variables declared in rv_info associated with the message. The first dimension is the sample dimension with a size equal to the number of event particles. The last dimension is the event dimension with a size equal to the size of the corresponding random variable. This field will be provided when content_type is
particles
orboth
, or will be leftNone
when content_type isparameter
.log_densities (tuple of torch.Tensor, optional) – The tuple of marginal log sampling densities of each of the event values in events. Each entry is a 1D tensor annotating the event value tensor in events with the same tuple index. The dimension size equals to the number of event particles. This field will be provided when content_type is
particles
orboth
, or will be leftNone
when content_type isparameter
.weight (torch.Tensor, optional) – The event particles weight tensor. Have shape (batch_shape + sample_shape), where sample_shape is the concatenated list of the sample sizes of all event tensors in events. This field will be provided when content_type is
particles
orboth
, or will be leftNone
when content_type isparameter
.
- Returns
A 2-tuple consisting of (reduced_dist : torch.distributions.Distribution or None, reduced_weight : torch.Tensor or None). reduced_dist will be ignored if content_type is
particles
, and reduced_weight will be ignored if content_type isparameter
. Both of the entries should have the reduced batch shape of length 1.- Return type
tuple
-
__call__
(msg, ran_vars)[source]¶ Implements so that the Summarization instance is a callable functor.
The summarization instance should be called by ESFN internally only.
- Parameters
msg (Message) – The incoming message. Batch shape should be of length 2, with the first batch dimension being the one to be summarized over, and the second dimension being the one to be left untouched.
ran_vars (tuple of Variable) – The tuple of random variables of the target Variable node
- Returns
The reduced message. Will have only one batch dimension which is the one to be left untouched from the original message.
- Return type


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- List of Scandinavian Countries and Nordic
Region
- Workflowy 2 Anki
- Deck Title (flat)
- Card 1, side 1
- Card 1, side 2
- Card 2, side 1
- Card 2, side 2
- Deck Title (without note)
- Card 1, side 1
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- Deck Title (with note)
- Card 1, side 1
Card 1, side 2
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Card 2, side 2


mec2 #
mec2 is a javascript library for simulating and analysing planar mechanisms or linkages. The concept is based on nodes constrained by one of four different vectors. Solving the kinematic equations is done by using Erin Catto's principle of sequential impulses, often used by gaming physics engines.
Its API is minimal and easy to understand. The library is tiny and fast. Mechanisms are described using an easy to read JSON format.
Example #
JSON #
{
"id":"4bar",
"nodes": [
{ "id":"A0","x":100,"y":100,"base":true },
{ "id":"A", "x":100,"y":150 },
{ "id":"B", "x":350,"y":220 },
{ "id":"B0","x":300,"y":100,"base":true }
],
"constraints": [
{ "id":"a","p1":"A0","p2":"A","len":{ "type":"const" } },
{ "id":"b","p1":"A", "p2":"B","len":{ "type":"const" } },
{ "id":"c","p1":"B0","p2":"B","len":{ "type":"const" } }
]
}
How do I use it? #
You can build an environment yourself.
Here's a minimal example:
<html>
<head>
<title>minimal mec2 example</title>
<meta charset='utf-8'>
</head>
<body>
<canvas id="c" width="601" height="401"></canvas>
<script src="https://gitcdn.xyz/repo/goessner/g2/master/src/g2.js"></script>
<script src="https://gitcdn.xyz/repo/goessner/mec2/master/mec2.min.js"></script>
<script>
const ctx = document.getElementById('c').getContext('2d'); // the canvas-context
let g = g2().clr().view({cartesian:true}).grid(), // a g2 graphics-object
model = { // your model
id: 'pendulum',
gravity:true,
nodes: [
{id:'A0',x:300,y:240,base:true},
{id:'A1',x:380,y:300}
],
constraints: [
{ id:'a',p1:'A0',p2:'A1',len:{type:'const'} }
]
};
// simulation
const simulate = () => {
model.tick(1/60); // solve model with fixed stepping
g.exe(ctx); // render its pose on the canvas
requestAnimationFrame(simulate); // keep calling back
};
mec.model.extend(model); // extend the model
model.init(); // initialize it
model.draw(g); // append model-graphics to graphics-obj
simulate(); // kick-off the simulation
</script>
</body>
</html>
If you don't want to do that, check out the project mecEdit. mecEdit is a standalone, installable editor for planar mechanisms, that uses mec2
as a physics engine and focuses on user experience. It's hosted here.
License #
mec2 is licensed under the terms of the MIT License.


{% extends 'templates/planner_card.html' %}
{% import 'includes/ui_element_macros.html' as ui_element_macros %}
{% block id %}your-blood-test-appointment{% endblock %}
{% block heading %}
Your blood sugar test
{{ booked_blood_test.appointment_date }} at {{ booked_blood_test.appointment_time }}
{% endblock %}
{% block body %}
You need to have your blood sugar level checked every 3 months so your medication can be adjusted if needed.


The image could be a path relative to your installation (e.g. /images/project.png) or an URL. Its height must be of 20px.


Use this document as a way to quickly start any new project.
All you get is this text and a mostly barebones HTML document.
https://hackerthemes.com/bootstrap-cheatsheet/
http://bootsnipp.com/resources
http://www.tutorialrepublic.com/twitter-bootstrap-tutorial/bootstrap-grid-system.phpHacker themes provide a useful cheat sheet. All bug reports, feature suggestions, and comments gratefully received.
Song Box is designed to store your lyrics, notes, and musical ideas.
Organise your original material with supporting notes, as well as all those covers you´ve been trying to keep track of.
Song Box is open source, so you can host it on your local machine, self-hosted wordpress site(or whatever), and tweak it as you please.


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Intro for CHIANTI IDL Users¶
ChiantiPy was not developed to be a clone of the CHIANTI IDL code. The IDL code largely consists of functions that can be used to calculate or plot a variety of properties. Structures are often used to carry the results of one function to be used by another.
ChiantiPy is object oriented. For example, the building block of ChiantiPy is the ion class. It carries with it all the methods that are needed as well as various calculated properties that are kept as attributes. By following the Quick Start guide, you will become familiar with how ChiantiPy works. Because one can always inquire, for example with dir, as to the methods and attributes of a an object, such as an ion, it is easy to remember what you might want to calculate next. For example, you have created an object myion. It is possible to then invoke
myion.popPlot()
to plot the level populations of myion. If you have not already calculated the levels populations, the ion class knows to calculate the level populations (myion.populate()) and save them for later use as the dictionary attribute myion.Population and then plot the specified level populations. The level populations are then available as a 2 dimensional numpy array
myion.Population['population']
Python and IPython provide many tools for examining any give object (everything in Python is an object of some sort)
mg4 = ch.ion('mg_4',setup=0)
By setting the keyword setup to 0 or False the complete setup of the ion is not performed, but a certain amount of information is retrieved. Since neither a temperature or electron density were specified, none of these attributes know anything related to these two quantitities. The default value for setup is True so that the setup is performed with the specified temperatures and electron densities. In general, this is the way you want to construct the mg_4 ion.
for attr in vars(mg4):
print(attr)
IonStr
FIP
Z
AbundanceName
Ip
Ion
IoneqAll
PDensity
Abundance
RadTemperature
FileName
RStar
ProtonDensityRatio
Dielectronic
Defaults
IoneqName
Spectroscopic
The Python function vars retrieves the attributes of the mg4 object.
print('%s'%(mg4.IoneqName))
chianti
print('the abundance file name is %s'%(mg4.AbundanceName))
the abundance file name is sun_coronal_1992_feldman_ext
print('the abundance of %s is %10.2e'%(mg4.Spectroscopic,mg4.Abundance))
the abundance of Mg IV is 1.41e-04
One can get a more complete description of the various attributes and methods of the mg4 object
for one in dir(mg4):
print(one)
Abundance
AbundanceName
Defaults
Dielectronic
FIP
FileName
Ion
IonStr
IoneqAll
IoneqName
Ip
PDensity
ProtonDensityRatio
RStar
RadTemperature
Spectroscopic
Z
__class__
__delattr__
__dict__
__dir__
__doc__
__eq__
__format__
__ge__
__getattribute__
__gt__
__hash__
__init__
__le__
__lt__
__module__
__ne__
__new__
__reduce__
__reduce_ex__
__repr__
__setattr__
__sizeof__
__str__
__subclasshook__
__weakref__
boundBoundLoss
cireclvlDescale
convolve
diCross
diRate
drRate
drRateLvl
eaCross
eaDescale
eaRate
emiss
emissList
emissPlot
emissRatio
gofnt
intensity
intensityList
intensityPlot
intensityRatio
intensityRatioInterpolate
intensityRatioSave
ionGate
ioneqOne
ionizCross
ionizRate
lineSpectrumPlot
p2eRatio
popPlot
populate
recombRate
rrRate
setup
setupIonrec
spectrum
spectrumPlot
twoPhoton
twoPhotonEmiss
twoPhotonLoss
upsilonDescale
upsilonDescaleSplups
First, at the top of the list are the attributes that were listed by the vars function. Then come a number of methods starting with ‘__’. These are generally not used and called private methods although nothing in Python is really private. In IDL, just about everything is private. After the private methods is a list of the methods provided by the mg4 ion class object. These all start with a lower case letter to separate them from the attributes that start with an upper case letter (this is a ChiantiPy convention).
In the IPython and jupyter-qtconsole, typing
mg4.diCross(
and then hitting the tab key will bring up the doc-string for the diCross method, also found in the API reference in the documentation. And then
mg4.diCross()
calculates the direct ionization cross section of Mg IV for a set of energies above the ionization potential Ip. The direct ionization cross sections are then provided in the mg4.DiCross dictionary.
Experience using the CHIANTI IDL package will provide the user with a background with what ChiantiPy can do. However, the way to accomplish them are much easier but must be learned. The best way to start is with the Quick Start guide and a book about Python. Book suggestions are Learning Python by Mark Lutz and the handy Python Pocket Reference, also by Mark Lutz. The first one is alway in reach and copies of the latter is on all of my computer desks.


Get a note in your inbox every couple of weeks with Joshua's latest thoughts on Crohn's, mindfulness, entrepreneurship, and more.
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Mastodon
Please reach out by email, josh at gotostepone dot com


@()(implicit request: MessagesRequestHeader)
@main("Adult Rules for Snooker O") {
Rules for Snooker O – Adults class
@basicScoreRules()
Clearing the Reds
- The reds must be cleared before attempting the colours. However every time a red is cleared,
a colour of your choice must be punched next. Treat each red as part of a Red-Colour pair until all the reds have been cleared.
- The choice of which colour ball you punch after each red is up to you - however this is Orienteering.
Once you have been to a colour the first time you will then know where it is located. So while
clearing the reds each subsequent visit to that colour will score 25% fewer points. For instance, the first time you visit the PINK
it will be worth 60 points, but 45 the second time, 30 the third time, 15 the fourth time – and 0 for any other visits.
- Once all the Reds-Colour pairs are cleared; all the colours revert to their full values ready for
clearing the colours.
- If you have not collected all 10 Red-Colour pairs, then any colours you collect will not score points; even if in the correct order.
@coloursRules()
@hints(26)
@rulesCards()
}


class: center, middle, inverse, title-slide # Lecture 4 ## Imperfect information ### Ivan Rudik ### AEM 6510 --- exclude: true ```r if (!require("pacman")) install.packages("pacman") ``` ``` ## Loading required package: pacman ``` ```r pacman::p_load( tidyverse, tidylog, xaringanExtra, rlang, patchwork ) options(htmltools.dir.version = FALSE) knitr::opts_hooks$set(fig.callout = function(options) { if (options$fig.callout) { options$echo <- FALSE } knitr::opts_chunk$set(echo = TRUE, fig.align="center") options }) ``` ``` ## Warning: 'xaringanExtra::style_panelset' is deprecated. ## Use 'style_panelset_tabs' instead. ## See help("Deprecated") ``` ``` ## Warning in style_panelset_tabs(...): The arguments to `syle_panelset()` ## changed in xaringanExtra 0.1.0. Please refer to the documentation to ## update your slides. ``` --- # Roadmap What happens when the regulator has imperfect information about: - Marginal abatement costs? - Marginal damages? So we far have assumed perfect information which is unlikely to be true -- We will continue assuming that firms know their own marginal abatement cost And that regulators observe firm-level emissions --- # Imperfect information How do we think about this? -- Firms are unlikely to tell regulators exactly what their marginal abatement costs are -- Therefore regulators will have to try to estimate it when designing policy -- Estimation will naturally result in some error --- # Price vs quantities (Weitzman 1974) Let's start by comparing emissions taxes and tradable permits -- We'll start by looking at damage function uncertainty with known abatement costs -- Then we look at abatement cost uncertainty with known damage functions -- We will mainly be focused on efficiency outcomes and want to understand which policy delivers the highest welfare and why --- # Damage function uncertainty - `\(D(E)\)` is the social damage function -- - `\(C(E)\)` is the aggregate abatement cost function -- - `\(E^*\)` is the optimal level of pollution - This is defined by `\(-C'(E) = D'(E)\)` -- - Let `\(\tilde{D}(E)\)` and `\(\tilde{C}(E)\)` denote the estimated damage and abatement cost function -- First suppose the regulator estimates `\(-C'(E)\)` correctly, but underestimates marginal damages: `\(\tilde{D}'(E) < D'(E) \,\, \forall E\)` --- # Damage function uncertainty The regulator chooses policy based on her estimate `\(\tilde{D}'(E)\)` -- This means she sets: `$$-C'(E) = \tilde{D}'(E)$$` -- which is solved by some `\(\tilde{E} > E^*\)` because she underestimated marginal damages -- What is the welfare loss from targeting `\(\tilde{E}\)` instead of `\(E^*\)`? Does the size of the loss depend on the policy instrument? --- # Damage function uncertainty Define welfare loss as the difference in total social costs at `\(\tilde{E}\)` versus the efficient level `\(E^*\)`: `\begin{align} WL &= [D(\tilde{E}) + C(\tilde{E})] - [D(E^*) + C(E^*)] \notag\\ &= [D(\tilde{E}) -D(E^*)] + [ C(\tilde{E}) - C(E^*)] \end{align}` This is equivalent to the area under the marginal damage and abatement cost curves between the two emission levels: `$$WL = \int_{E^*}^{\tilde{E}}D'(E) dE - \int_{E^*}^{\tilde{E}} - C'(E)dE$$` --- # Damage function uncertainty with permits .pull-left[ ![Uncertain MD with permits](4-imperfect-information_files/figure-html/uncertain_damages_permit_nodwl-1.png) ] .pull-right[ Here is the set up Solve for `\(\tilde{E}, E^*\)` and the welfare loss from setting the number of permits to be `\(L = \tilde{E}\)` ] --- # Damage function uncertainty with permits .pull-left[ ![Uncertain MD with permits](4-imperfect-information_files/figure-html/uncertain_damages_permit-1.png) ] .pull-right[ With a permit scheme the regulator fixes the total amount of emissions at `\(\tilde{E}\)` Since she underestimates `\(D'\)`, she lets firms emit too much She incurs welfare loss `\(A\)` from emissions where marginal damage `\(>\)` marginal abatement cost ] --- # Damage function uncertainty with taxes .pull-left[ ![Uncertain MD with permits](4-imperfect-information_files/figure-html/uncertain_damages_permit_nodwl_tax-1.png) ] .pull-right[ Here is the set up Solve for `\(\tilde{E}, E^*\)` and `\(E(\tau)\)` which is the firm's choice of emissions given `\(\tau\)`, and the welfare loss from setting the tax to be `\(\tau(\tilde{E})\)` which achieves `\(E=\tilde{E}\)` given `\(-\tilde{C}'(E)\)` ] --- # Damage function uncertainty with taxes .pull-left[ ![Uncertain MD with taxes](4-imperfect-information_files/figure-html/uncertain_damages_tax-1.png) ] .pull-right[ The regulator sets the tax as a function of her target emissions `\(\tau(\tilde{E})\)` Since she underestimates `\(D'\)`, she sets `\(\tau(\tilde{E})\)` too low The firm then selects `\(E(\tau) = \tilde{E}\)` She incurs welfare loss `\(A\)` from emissions where marginal damage `\(>\)` marginal abatement cost ] --- # Damage function uncertainty What did we learn? -- With damage function uncertainty, the regulator will set the incorrect level of policy -- If she underestimates MD: -- - She sets the total number of permits too high - She sets too low of a tax -- Both lead to the exact same welfare loss so both policies have the same efficiency --- # Abatement cost function uncertainty Suppose the regulator estimates `\(D'(E)\)` correctly and underestimates marginal abatement cost: `\(-\tilde{C}'(E) < -C'(E) \,\, \forall E\)` The regulator chooses policy based on her estimate `\(-\tilde{C}'(E)\)` -- This means she sets: `$$-\tilde{C}'(E) = D'(E)$$` which is solved by some `\(\tilde{E} < E^*\)` because she underestimated marginal costs -- What is the welfare loss from targeting `\(\tilde{E}\)` instead of `\(E^*\)`? --- # Abatement cost function uncertainty .pull-left[ ![Uncertain MAC breaks the equivalence between taxes and permits](4-imperfect-information_files/figure-html/uncertain_abatement_nodwl-1.png) ] .pull-right[ Here's the uncertain MAC problem Solve for `\(\tilde{E}, E^*, \sigma(\tilde{E}),\)` and the welfare loss from setting the number of permits to be `\(L = \tilde{E}\)` Solve for `\(\tilde{E}, E^*,\)` and `\(E(\tau)\)` which is the firm's choice of emissions given `\(\tau\)`, and the welfare loss from setting the tax to be `\(\tau(\tilde{E})\)` ] --- # Abatement cost function uncertainty .pull-left[ ![Uncertain MAC breaks the equivalence between taxes and permits](4-imperfect-information_files/figure-html/uncertain_abatement-1.png) ] .pull-right[ With permits, the regulator allows `\(\tilde{E}\)` permits which results in a permit price of `\(\sigma(\tilde{E})\)` where `\(\tilde{E}\)` intersects the true MAC This yields a welfare loss of `\(C\)` Firm behavior sets the price even though quantity is fixed by the regulator ] --- # Abatement cost function uncertainty .pull-left[ ![Uncertain MAC breaks the equivalence between taxes and permits](4-imperfect-information_files/figure-html/uncertain_abatement-1.png) ] .pull-right[ With a tax, the regulator sets a price `\(\tau(\tilde{E})\)` per unit of emissions, and the firms choose the quantity of emissions where `\(\tau(\tilde{E}) = -C'(E)\)` which causes total emissions to be `\(E(\tau)\)` This yields a welfare loss of `\(B\)` Firm behavior sets the quantity even though price is fixed by the regulator ] --- # Abatement cost function uncertainty .pull-left[ ![Uncertain MAC breaks the equivalence between taxes and permits](4-imperfect-information_files/figure-html/uncertain_abatement-1.png) ] .pull-right[ Since `\(E(\tau) \neq \tilde{E}\)`, abatement cost uncertainty matters: tradable permits and taxes give us different emission outcomes Is there any systematic difference in the efficiency properties of permits and taxes? ] --- # Abatement cost function uncertainty In general it seems like sometimes the welfare loss of taxes will be higher, and other times the welfare losses of permits will be higher -- What we will do next is try to understand the characteristics of the MAC and MD curves that tend to drive one policy to be better than the other --- # Steep versus flat MD ![Initial distribution matters for how costs and benefits are spread out](4-imperfect-information_files/figure-html/prices_vs_quantities_nodwl-1.png) Solve for the permit and tax DWLs in both of these scenarios where the only difference is the steepness of the marginal damage curve --- # Steep versus flat MD ![Initial distribution matters for how costs and benefits are spread out](4-imperfect-information_files/figure-html/prices_vs_quantities-1.png) The only difference between the two plots is how steep the MD is, and subsequently the policy that the regulator sets Welfare loss for taxes is given by `\(A\)`, welfare loss for permits is given by `\(B\)` --- # Steep versus flat MD ![Initial distribution matters for how costs and benefits are spread out](4-imperfect-information_files/figure-html/prices_vs_quantities-1.png) Permits do better with steep MD, taxes do better with flat MD! Why? --- # Steep versus flat MD With a steep (and known) MD: -- - The difference between `\(E^*\)` and `\(\tilde{E}\)` is restricted: steeper curves are more inelastic, errors in estimating MAC lead to small errors in `\(\tilde{E}-E^*\)` - The difference between `\(E^*\)` and `\(E(\tau)\)` can be very large: errors in estimating the MAC lead to bigger errors in `\(\tau(\tilde{E}) - \tau(E^*)\)` because MD is very steep --- # Steep versus flat MD With a flat (and known) MD: -- - The difference between `\(E^*\)` and `\(\tilde{E}\)` is can be very large: flatter curves are more elastic, errors in estimating MAC lead to large errors in `\(\tilde{E}-E^*\)` - The difference between `\(E^*\)` and `\(E(\tau)\)` is restricted: errors in estimating the MAC lead to smaller errors in `\(\tau(\tilde{E}) - \tau(E^*)\)` because MD is very flat <!-- --- --> <!-- # The Weitzman theorem --> <!-- So far we've focused on the intuition, now lets formalize the results --> <!-- -- --> <!-- Let the damage function be `\(D(E,\eta)\)` where `\(\eta\)` is a random variable representing the regulator's uncertainty about the damage function --> <!-- -- --> <!-- We assume `\(D_E, D_{EE} > 0\)`, and that `\(D_\eta, D_{E\eta} > 0\)` --> <!-- -- --> <!-- Increases in `\(\eta\)` shift up the damage and marginal damage curves --> <!-- --- --> <!-- # The Weitzman theorem --> <!-- Let the abatement cost function be `\(C(E,\epsilon)\)` where `\(\epsilon\)` is a random variable representing the regulator's uncertainty about the abatement cost function --> <!-- -- --> <!-- We assume `\(-C_E > 0, -C_{EE} > 0\)`, and that `\(-C_\epsilon, -C_{E\epsilon} > 0\)` --> <!-- -- --> <!-- Increases in `\(\epsilon\)` shift up the total and marginal abatement cost curves --> <!-- --- --> <!-- # The Weitzman theorem: quantities --> <!-- Let's start with a quantity instrument like tradable permits --> <!-- -- --> <!-- The regulator's objective is to find the emission target that minimizes social cost: --> <!-- $$\min_{E} -->


To input an EULA from a website, highlight the contents of the EULA and copy, then paste the text into the Text Input Box and press the analyze button underneath it.
To analyze an EULA from a file on your computer, select the Choose File button and press the analyze button underneath it.
If you encounter an issue or have feedback for the REUL Lab, please locate the Report Issue button at the bottom of this page and let us know.


Cross-Origin Resource Sharing (CORS)
HTTPS-Redirect
HTTP Strict Transport Security (HSTS)
Mixed-Content
Web Application Firewall (WAF)


Only Fools fans hit out at £375 tickets for pic with Del Boy
Sir David Jason will be the star at an upcoming convention
by Antony Thrower, Andrew McQuarrieFans of TV comedy show Only Fools and Horses, which was largely filmed in Bristol, have criticised the price charged to meet Sir David Jason at a charity event.
The Sir David Jason and Friends exhibition, taking place in early 2020, offers the chance to receive an autograph from the Del Boy actor for £375.
But some social media users have expressed their disappointment with the fee for the ticket, according to the Daily Star .
Writing on the Only Fools Appreciation Society’s Facebook page, one fan said: “Absolutely gutted! The ticket fee is completely out of my reach!!”.
Another wrote: “Cheers for turning this into an elite day out.”
The exhibition in Sharnbrook, Bedfordshire, offers entry for £55. However, fans will have to spend £255 or £375 for silver and gold packages that include a 'meet and greet' with Sir David in a mock-up of the Trotter Flat.
The £375 package includes a photo with Sir David, as well as an in-person autograph.
Tickets go on sale on Sunday (November 24) and donations will be gifted to Diabetes UK.
According to the Daily Star, a spokesman for the event said: “With the costs involved in delivering such a colossal event, tickets are never going to be cheap.
“We have structured this so the best possible price is offered to the end user, whilst ensuring the charity greatly benefits from the donations by both the Society and Sir David.”
For the latest news in and around Bristol, visit and bookmark Bristol Live's homepage.


Megha is the director and one of the co-founders of the Inception Wave Pvt. Ltd. She is a technical member of our team working shoulder to shoulder with her male counterparts. She is an exceptional developer at Inception Wave and she is passionate to develop applications for the greater good. There is no doubt about her expertise in the field of Java, JavaScript, Node.js and Ionic Framework. On top of this, Megha is a very good singer.


---
layout: page
title: Contact Us
description: We would love to hear from you
background: "/img/bg-contact.jpg"
form: true
---
For any enquiries please email us at<EMAIL_ADDRESS>For bookings with Beth, please refer to the Beth bookings page.


iterami/Docs.htm/Repositories/FileBrowser.gtk
- Installation:
- "git clone --depth 1 https://github.com/iterami/FileBrowser.gtk.git"
- "sudo aptdcon -i libgtk-3-dev"
- "git clone --depth 1 https://github.com/iterami/common.git" into the same directory as "FileBrowser.gtk".
- Use your terminal to navigate to the "FileBrowser.gtk" directory and "make" it.
- Run the compiled "~/.iterami/filebrowser".
- Updating:
- Close "FileBrowser.gtk".
- "git pull" the "common" and "FileBrowser.gtk" repositories that you cloned.
- Use your terminal to navigate to the "FileBrowser.gtk" directory and "make" it.
- Run the compiled "~/.iterami/filebrowser".
- Uninstallation:
- Use your terminal to navigate to the "FileBrowser.gtk" directory.
- "make clean"
- Delete the cloned "FileBrowser.gtk" directory.
- Optionally remove "common" and optionally "sudo aptdcon -i libgtk-3-dev".
- If you have no other iterami GTK repositories installed, you can delete the "~/.iterami/" directory.


Dream. Invent. Think. Brainstorm.
This is where you dream of ideas for others to build.
Blueprints. Schematics. Drawings.
Instructions. 3D Print. Make GeoDreams a physical reality.
Download. Collect. Investigate.
Boost and share data of your surroundings or universe.
Balloon Project
Balloon Project
Balloon Project
Balloon Project


According to Wikipedia, an arithmetic progression (AP) is a sequence of numbers
such that the difference of any two successive members of the sequence is a constant.
For instance, the sequence 3, 5, 7, 9, 11, 13, . . . is an arithmetic progression with common difference 2.
For this problem, we will limit ourselves to arithmetic progression whose common difference is a non-zero integer.
On the other hand, a geometric progression (GP) is a sequence of numbers
where each term after the first is found by multiplying the previous one by
a fixed non-zero number called the common ratio. For example, the sequence 2, 6, 18, 54, . . . is
a geometric progression with common ratio 3. For this problem, we will limit ourselves to geometric progression
whose common ratio is a non-zero integer.
Given three successive members of a sequence,
you need to determine the type of the progression and the next successive member.
Your program will be tested on one or more test cases.
Each case is specified on a single line with three integers (−10, 000 < a1 , a2 , a3 < 10, 000)
where a1 , a2 , and a3 are distinct.
The last case is followed by a line with three zeros.
For each test case, you program must print a single line of the form:
XX v
where XX is either AP or GP depending if the given progression is an Arithmetic or Geometric Progression.
v is the next member of the given sequence.
All input cases are guaranteed to be either an arithmetic or geometric progressions.
Input:
4 7 10
2 6 18
0 0 0
Output:
AP 13
GP 54


The sector_download tool downloads one or more files from the Sector system.
The sector_download tool downloads a file or a whole directory to the local file system. The local directory must exist. Only new files or modified files will be downloaded. Existing files on the local directory that are identical to the files in the Sector DFS will not be downloaded again.
Wildcard characters * and ? are supported to specify the source files or directories.
See Also


WELCOME TO EARBOT LIFESTYLE
EarBot is a lifestyle brand that deals in fashionable consumer electronics like- earphones, headphones, speakers,travel charger & premium rugged cables.


Peso das propriedades
- User Agent Style
- Presentation Attributes
- External Styles
- Internal ""
- Inline ""
- Animation, through some js lib, change color after some action, per example.
- Override (!important)
- Computed Styles, when treating the SVG as an img, object or even an iframe


for
loops that iterate over collections or arrays,
and can be automatically replaced with an enhanced for
loop (i.e. the foreach iteration syntax).
Example:
for (Iterator<String> iterator = list.iterator(); iterator.hasNext(); ) { String item = iterator.next(); System.out.println(item); }
After the quick-fix is applied the result looks like:
for (String item : list) { System.out.println(item); }
Use the first checkbox below to find loops involving list.get(index)
calls.
These loops generally can be replaced with an enhanced for
loop,
unless they modify underlying list in the process, e.g. by calling list.remove(index)
.
If latter is the case, the enhanced for
loop may throw ConcurrentModificationException
.
Also, in some cases, list.get(index)
loops may work a little bit faster.
Use the second checkbox below to ignore collections which do not have type parameters. This prevents the creation of
enhanced for
loop variables of type java.lang.Object
and the insertion of casts where the loop variable is used.
This inspection only reports if the language level of the project or module is 5 or higher


"The proliferation of Mobile and Smart devices is pushing new software products to be conceptualized around the need to cater to multiple channels for user designs covering Phones, Tablets and Computers. Relevance Lab focusses on User Experience Designs for new products and re-engineering of UI for existing software products."
Rich content designs, Migrating legacy UI to HTML5 unified experience portals and migrating flash to HTML5
Build user experience platform (current portals self service applications E2E and B2B applications) for multi device and multi browser ready
Remote delivery or reorienting your content and workflows for globally mobile workforce
Solution focused on Higher Education Market for student prospecting and admissions. Business need was to architect and develop the UI application deployed for multi device and Mobile scenario
Recommended an Adaptive UI, created the entire UI application from architecture, design, development and Testing
Improved Marketability Accelerated Delivery - designed, developed and delivered a solution
Customer in Education CRM segment wanted an improvement in user experience and functionality. Need for a Dynamic form builder generated using HTML5 and available through multiple channels.
A custom HTML 5 Portal with validations, conditional validations and rules integrated with CRM product and payment gateway
Better experience and User Interface, Improved Marketability, more functionality added, accelerated delivery, Multi Device ready solution
Education and Digital publishing company wanted a new platform for their international division. The platform needed to support HTML 5 with a new age tool sets to create, publish education content and Improves usability for end user.
Developed and delivered a web portal platform in HTML 5 . The PDF books were converted into digital pages rendered to a flipbook .
Conversion of books into HTML 5 pages, A flipbook platform, Globally Distributable Content
Life Sciences company wanted to deliver business intelligence content over a mobile devices to its senior executive workforce and a Clinical Trial Network with Automation, Data Analytics, Governance and Risk monitoring.
Developed and delivered a BI content delivery solution. Solution was delivered as additional client consuming current BI web solution
Access to Information Securely Accelerated Delivery through a framework


No download available.
This project was for a 2017 Halloween game jam. I was making a puzzel game where you are stuck in a voxel style mansion and hadd to find clues and sole riddles to escape. I had only three weeks to complete the progrect because I joined a month late. I was unable to finish the project intime but I did get most of the back end mechanics figured out.


Factory that constructs $$interimElement.$service
services.
Used internally in material design for elements that appear on screen temporarily.
The service provides a promise-like API for interacting with the temporary
elements.
| Parameter | Type | Description |
|---|---|---|
defaultOptions
object
|
object |
Options used by default for the |
| Returns | Description |
|---|---|
$$interimElement.$service |


{{- $scratch := newScratch -}}
{{- with .Resources.GetMatch "featuredImage" -}}
{{- $featuredImage := .Resize "x150 q100" -}}
{{- $scratch.Set "featuredImage" $featuredImage -}}
{{- end -}}
{{- with $scratch.Get "featuredImage" -}}
{{- end -}}
{{- with $scratch.Get "featuredImage" -}}
{{- end -}}


Welcome to Jekyll and EasyBook
You’ll find this post in your _posts
directory. Go ahead and edit it and re-build the site to see your changes. You can rebuild the site in many different ways, but the most common way is to run jekyll serve
, which launches a web server and auto-regenerates your site when a file is updated.
To add new posts, simply add a file in the _posts
directory that follows the convention YYYY-MM-DD-name-of-post.ext
and includes the necessary front matter. Take a look at the source for this post to get an idea about how it works.
GitHub Flavored Markdown is supported.
ruby
def print_hi(name)
puts "Hi, #{name}"
end
print_hi('Tom')
#=> prints 'Hi, Tom' to STDOUT.
EasyBook Advanced Functions
You are using EasyBook the template from laobubu.net. Therefore some features are supported now:
- Pagination is enabled.
- Disqus or 多说 is ready.
- TOC for posts is enabled.
- Profile including your links and avatar on the sidebar.
- And more…
Tips: You can disable Disqus or 多说 on posts/pages by adding
nocomments: true
into YAML Front Matter.
EasyBook uses upaiyun CDN to make everyone lncluding Chinese visitors feel speedy. You can find it in _includes/footer.html
and change it to your favorite CDN like Google CDN.
Support me by…
Add a link
EasyBook does not make the footer heavy; the link to theme could be on about.md
:
Donate (PayPal or 支付宝)
That’s the best :smile:
Please visit http://laobubu.net/donate.html
Star and Fork on GitHub (free)
Not going to donate? That’s okay. You can also send out your precious star on GitHub.
And Here We Go
Check out the Jekyll docs for more info on how to get the most out of Jekyll. File all bugs/feature requests at Jekyll’s GitHub repo. If you have questions, you can ask them on Jekyll’s dedicated Help repository.


| Name
|
Value
|
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{{item.value | compactNumber | currency:'EUR':'symbol':'1.0-2'}}{{item.value | compactSuffix}} |
- |
| Asset |
Value |
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{{asset.economicValue | compactNumber | currency:'EUR':'symbol':'1.0-2'}}{{asset.economicValue | compactSuffix}} |
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No Assets counted or impact evaluation step is not completed


Boston Cab Visualzation
Each dataset is ~1M so it may take a few seconds to load.
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
Answers to Lab


This is the Bio Page of Samantha Lindy
Originally from New Hampshire, she grew up on the beaches of New England. Taking alot of her inspiration from local artists, she became well involved with the surf culture of New England.She spends alot of her time outside enjoying her surroundings and enjoys water activities such as paddle boarding, kayaking, surfing, and swimming.


EBD - Easton Bible DIctionary
Shammua
SHAMMUA
"SHAMMUA "heard. (1.) One of the spies sent out by Moses to search the land (
Numbers 13:4
). He represented the tribe of Reuben.
(2.) One of David’s sons (
1 Chronicles 14:4
;
3:5
, “Shimea;”
2 Samuel 5:14
).
(3.) A Levite under Nehemiah (
11:17
).
"SHAMMUA "heard. (1.) One of the spies sent out by Moses to search the land (Numbers 13:4). He represented the tribe of Reuben.
(2.) One of David’s sons (1 Chronicles 14:4; 3:5, “Shimea;” 2 Samuel 5:14).
(3.) A Levite under Nehemiah (11:17).


{% extends 'layouts/main.html' %} {% block title %}Authorized{% endblock %} {% block jumbotron %}
You are authorized with Strava as {{ athlete_name }}!
Loaded the last month of rides.


{% load static%} {% load crispy_forms_tags %}
{% block title %}How Auto Lyrics Works
After choosing a title and selecting your desired artist,
the lyric generator takes action by coming up with song lyrics in the same style as the chosen
artist. Auto Lyrics accomplishes
this by utilizing Markov chains.
What Is A Markov Chain?
In short, a Markov chain is a stochastic process that gives us the power to predict the future, based on past and previous states. You can learn more about Markov chains here.


Our star is the Sun. It is the source of heat and light which is produced during Nuclear Fusion. The Sun is a Yellow dwarf star or scintifically known as G dwarf star as it is smaller than other stars yet it is so big that it takes about 99.8% of the solar system's mass. It can also fit 1,000,000(1 million) earths in it. The Sun is about 109 times the diameter of Earth which is about 864,000 miles or 1,390,473.22 kilometers. The Sun takes 36 Earth days to complete one rotation or we can say that one day on the sun is around 31.5 days on earth. The Sun's mass is 1.989 x 10 ^ 30 kgs. The temprature of the sun's surface is 1000 f on average. At times the Sun blasts charged paritcles, these streams are known as solar winds . The Sun forms a envelope called heliopause or heliosphere which protects us from the interstellar radiation and is about 1.1247653 x 10^10 miles in radius. Interstellar is the space outside the heliopause. 5 spacecrafts were launched to go to the interstellar by NASA. These 5 are Out of these Voyager 1, 2 and Pioneer 10 have crossed to Interstellar while the other 2 are still on their way towards the interstellar space.
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Click on the bold words to know more about them


California Sues Juul for Targeting Teens
Juul, the top-selling maker of e-cigarettes in the United States, is being sued by California for allegedly targeting teens with it early marketing campaigns.
The lawsuit, filed Monday, also alleges that Juul's website didn't previously adequately verify customers' ages, the Associated Press reported.
This is just one of many legal battles for Juul. It's the focus of numerous state and federal investigations into whether its early marketing campaigns helped trigger the teen vaping crisis in the United States.
Juul denies that it marketed to teens and notes that it's stopped advertising and taken most of its flavors off the market, the AP reported.


Preparation time
less than 30 mins
Cooking time
1 to 2 hours
Serves
Serves 6
Try Rick Stein's take on this traditional Greek recipe, combining spiced lamb mince and creamy white sauce.
Preheat the oven at 200C/400F/Gas 6.
For the lamb sauce, heat two teaspoons of the oil in a pan. Add the onions and garlic and fry until just beginning to brown. Add the minced lamb and fry over a high heat for 3-4 minutes. Add the wine, tomatoes, cinnamon and oregano and simmer gently for 30-40 minutes while you make everything else.
Slice the stalks off the aubergines and cut them lengthways into 5mm/¼in slices. Heat a frying pan until it is jumping hot, add one tablespoon of the oil and a layer of aubergine slices and fry quickly until tender and lightly coloured on each side. Lift out with tongs (every kitchen should have some!), layer over the base of a 2.5-2.75 litre/4 ½-5 pint shallow ovenproof dish and season lightly with a little salt and pepper. Repeat with the rest of oil and aubergines and seasoning each layer as you go.
For the topping, melt the butter in a non-stick pan, add the flour and cook over a medium heat for one minute to cook out the flour. Gradually beat in the milk, bring to the boil, stirring, and leave to simmer very gently for 10 minutes, giving it a stir every now and then. Stir in the cheese and some salt and pepper to taste. Cool slightly and then beat in the eggs.
Remove the cinnamon stick from the lamb sauce, season to taste with some salt and pepper and spoon it over the top of the aubergines. Pour over the topping and bake for 25-30 minutes until the top is golden-brown and bubbling.
You need JavaScript to view this clip.
How to brown mince


Home
Table
Service
Staff
Booking
Users
Welcome to the Vancouver Restaurant
Click here to see tables
Click here to see Service
Click here to see Staff
Click here to see Staff
Click here to see Booking


If you're using DirectOutput Framework, you should upgrade to the latest
version at the link above.
You should also update your LEDWIZ.DLL file if you have that installed.
This is used by older, non-DOF software (such as LEDBlinky and Future
Pinball) to access LedWiz features. The "stock" LEDWIZ.DLL can make
these programs crash if you have any of the Pinscape V2 keyboard features
enabled.
You should update these files even if you're not using the Pinscape
output controller features. The older versions can crash when merely
scanning for devices if they run into a Pinscape unit with the keyboard
enabled, so they can crash even if they won't end up using the output
features. This is fixed in the new versions of the files.
Click on the link above for the latest versions of these files.


Change Password
Service Desk App
Edit Login Credentials.
Show password
Show password
Password requirements
- At least 1 letter
- At least 1 uppercase letter
- At least 1 numerical number
- At least 8 characters
- At least 1 special character
[~ ! @ # $ % ^ & * - = . ; ']


Generator: FE Starter Project
The project was generated successfully!
Continue
Sorry, an error has occured!
Try Again
Choose the best options for your project:
{{choice.name}}
{{choice.name}}
{{prompt.message}}
Continue


Playing by Heart (1998)
Director: Willard Carroll Cast: Gillian Anderson, Angelina Jolie, Madeleine Stowe, Anthony Edwards, Ryan Phillippe, Gena Rowlands, Sean Connery, Dennis Quaid, Ellen Burstyn, Jay Mohr, Jon Stewart, Patricia Clarkson, Nastassja Kinski Screenplay: Willard Carroll Producers: Willard Carroll, Meg Liberman, Thomas L. Wilhite Runtime: 121 min. US Distribution: Miramax Rated R: language
Copyright 1998 Nathaniel R. Atcheson
Angelina Jolie plays the most interesting character in Playing by Heart, a young woman named Joan. In the first scene of the film, she says, "Talking about love is like dancing about architecture." The title of this film was, in fact, Dancing about Architecture. I can't imagine why anyone wanted to change it, for the previous title is far more interesting and memorable than the current one. In addition, the first and last scenes require the original title to make sense. But the quote still sums up the film effectively: Playing by Heart is a story about a bunch of people who really aren't good at talking about love.
Writer/director Willard Carroll has created a nice romantic comedy here; he uses the standard Robert Altman approach, which consists of attacking the audience with as many scenarios as it can handle, until the very end, at which point he tells us how they're all related and why any of it is relevant. As with most films of numerous narratives, not every story in Playing by Heart is successful. But the film as a whole is frequently both funny and moving; it's also an insightful look into the dreaded world of dating.
The film focuses on a few romantic relationships, and a couple of non-romantic relationships. Joan -- the character I mentioned above -- is a talkative club-hopper who becomes interested in a reclusive, blue-haired lad named Keenan (Ryan Phillippe). Meredith (Gillian Anderson) is a timid stage director who has turned herself off to dating altogether, until she meets Trent (Jon Stewart), who is hell-bent on getting her to like him. Then there's Gracie (Madeline Stowe), a married woman who retreats to a hotel with Roger (Anthony Edwards) a few times a week, obsessed with the idea of having a purely sexual relationship without any of the baggage that a normal relationship entails.
Other subplots involve an older woman, Mildred (Ellen Burstyn), who goes to visit her dying son, Mark (Jay Mohr). There's also Hugh (Dennis Quaid), who is seen in various bars, picking up on both men and women, telling them all kinds of stories about his wife and children. The central relationship of Playing by Heart has Sean Connery and Gena Rowlands playing Paul and Hannah, an older couple approaching their 40th anniversary. Hannah discovers a picture of a woman Paul knew twenty-five years prior, and many arguments ensue.
I have a common problem with all films like this: I tend to prefer focused stories, and just when I'm getting drawn into a scenario, the narrative shifts to another one and I have to recalibrate my attention. There is certainly enough material in each individual story to warrant separate films, but Carroll is clearly interested in the way they complement one another. At first I was skeptical -- the stories didn't seem like they needed each other. By the end, though, I understood why Carroll chose the stories he did. And while no film can truly explicate the ludicrous complications that love brings upon us, Playing by Heart does an admirable job trying.
Playing by Heart is an atmospheric film; Carroll and cinematographer Vilmos Zsigmond did a great job filling the picture with lush moods and velvet tones. Trent's postmodern house -- which looks to be composed almost entirely of 90-degree angles and black wood -- is a fascinating location. Thanks to production designer Missy Stewart, all the sets are fascinatingly attractive, and well-photographed by Zsigmond. John Barry's musical score is also appropriate, though it does tend to get a little heavy-handed in the later scenes.
What really makes Playing by Heart a memorable film are the performances. Angelina Jolie steals every scene she has, injecting such indefatigable spunk and intelligence that I was electrified whenever she appeared on screen. Ryan Phillippe, with his unimpeachable monotony, is appropriately dry here, and is surprisingly not buried by Jolie's work. Connery and Rowlands are both pros, and handle their roles accordingly. Also notable is the Anderson/Stewart pairing; Anderson is an immensely likable actress, and has proven that she has range beyond her stoic "X-Files" iciness. Jay Mohr is affecting as the dying AIDS patient, and Burstyn is very good as the mother.
Even though I often felt jostled with the transitions between stories (Carroll really doesn't try to make the transitions smooth), I can't say I wasn't involved in most of the stories. There are a couple that didn't quite work for me, though. Even though I liked Connery and Rowlands, I didn't always believe what they were saying -- I had trouble believing that they loved each other. I was also confounded by the Hugh scenario -- Quaid doesn't seem to know exactly what he's doing, and the situation is just too complicated for this kind of movie. But perhaps even these elements are intentional. The one thing Playing by Heart does extremely well is to show us how love is always both disastrously complicated and inexplicably wonderful. It sounds like a trite and overplayed theme, but there's still some life to be found in it.
Psychosis Rating: 7/10
Visit FILM PSYCHOSIS at http://www.pyramid.net/natesmovies
Nathaniel R. Atcheson
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Browsercast is a tool for intelligent screencasts.
Normal screencasts aren't all that cool.
That's not the web I was hoping for!
Define your slides like usual, but add time codes!
code here
Such cast very browser so web wow


Flutes Of Chi
So Andrea reached out to some former coworkers and friends putting some feelers out for potential job leads and she was able to get me a phone interview. Granted its only a temporary position doing some data analysis and pulling select info from database dumps but it sounds pretty similar to what I had been doing at KBCS. Phone interview went great, gave me an example Excel assignment (test) and three days to work on it. Finished it in one. They've set up a video interview with the hiring manager for Friday so fingers crossed! Again, it sounds like some temporary work through mid January but there is a potential for longer term if they have work, they like me, yadda yadda. Regardless, I expressed that just getting a foot in the door and some digital media data anaylsis experience will boost my resume.
Like the old idom states, "when it rains, it pours", and today was no exception; two weeks of radio silence from job leads and then 3 people reached out requesting a good time to speak with them about potential opportunities. I'm learning to manage my expectations so I'll reserve my celebration until after I sign some onboarding papers. Not to sound like a skeptical New Yorker but when in New York...
Today's blog picture is of leaving a temp job and being greeted by New York's finest downstairs. I should back up; Got a temp gig working for a equity firm near Saks Fifth Avenue (yeah, name drop) which involved a lot of digging through old files, cataloging, and boxing them up for transport to their new offices. Not glamorous or well paying but that's not the point. Towards the end of the day I notice that an alarm has been going off for a good 15 minutes. It's muffled so I start to think, "It sure is amazing that I can hear a car alarm ALL the way up on the 14th floor!" I take the elevator down to the lobby, turn the corner, and find the aforementioned gentlemen and what appears to be EVERYONE from the 35 floor office building congregating in the entryway. I'm still not sure if it was a drill or not but I can definitely say that there hasn't been a dull moment in any of these temp gigs so far.
TL:DR
Making progress. I think.
“For, it's not what you are, what you've come to be, all this will end and begin again” — Ween
Went over to Lauren and Sarah's for our first (finally) chance at starting Cage Rage Night. Lauren cooked a taco soup (NOM NOM) and I provided some blackberry margaritas. Poor Sarah was reeling from a back injury that had her seeking relief from some muscle relaxers and couch rest. Yams was excited to see me and didn't bite my feet for a change!
We decided to watch one of Nick Cage's strangest movies, Vampire's Kiss. Oh... Em... Eff... Absolutely ridiculous in that Nick Cage tries to do this weird half-British accent that he keeps dropping in and out of, sometimes in the middle of a word. The premise (I'll try not to spoil the movie but come on... you don't want/need to watch this movie) is that Nick Cage is a New York playboy/womanizer who meets a one night stand that happens to be a vampire. He gets bit and that's when it goes off the rails. I can't even start. We're pretty sure that most of the dialogue was ad-libbed by Nick and it is classic (bad) Cage. But that is what Cage Rage Night is for; terrible Nick Cage. We thought about Family Man but that movie is sweet and touching and NOT what the night is about. We want to scream with delight in how terrible his acting can be and scream we did.
I'll do my best to update this weekend after Friday's interview goes. Maybe I'll finally be able to post that picture of toasting champagne glasses I got from Getty.


All the Tasty Beers I've Drank
Brewery & Beer List
Brewery
Name
Style
Brew-Family Distribution
Lager
Ale
Hybrid
The version of
Chartjs
is in Beta. Bugs may be present.


Senior Lecturer, Management Science
https://www.strath.ac.uk/staff/arulselvanashwindr
Chancellor's Fellow, Computer and Information Science
http://personal.strath.ac.uk/michael.cashmore
Chancellor's Fellow, Mechanical and Aerospace Engineering
https://www.strath.ac.uk/staff/riccardiannalisadr
Senior Lecturer, Electronic & Electrical Engineering
https://www.strath.ac.uk/staff/westgraemedr


Step 1: Creating a Meteor App
{{#markdown}}
To create a Meteor application you must first install Meteor on your machine. This is a pretty easy process, simply follow the instructions at the Meteor website:
Meteor Installation
Once Meteor is installed on your computer you are ready to create your first application. Open a command prompt window and type:
`meteor create patient-todo`
This will tell Meteor to create the basic framework and directory structure for your application. There is simple built-in webpage to test that meteor is working. At the command prompt, navigate to the directory of your application:
`cd patient-todo`
and then simply type:
`meteor`
Hit enter and the Meteor framework will begin to build your application. The first time you run Meteor at the command line it will take a bit to download all the necessary components and start your application. Once the process is completed you should see a message at the command prompt that looks like this:
If you then open a web browser (Google Chrome is recommended for its debugging capabilities) and type `localhost:3000` into the address bar you should see a web page like below. The `localhost` portion of the address is telling the web browser to reference the local computer (the one you are using) and the `:3000` is directing it to PORT 3000, which is the default port that Meteor applications use. If you have another program running on PORT 3000 then you may receive an error at the command line and the application will fail to load.
If everything went well, you should now see this in your web browser:
You can stop the Meteor application from running at the command line by typing `CTRL-C`. The application will exit and you will be back to the command prompt. Stop the application now so that we can complete the final portion of Step 1.
We will add one directory to the application structure to eventually hold our database collection code. From the command line (or file explorer), make a new folder in the project dierectory called `import`. Your project directory should look something like this:
```
.meteor
client
main.css
main.html
main.js
import
node_modules
server
main.js
```
Now that we have installed Meteor and created the basic framework for our application, lets add a few additional building blocks to make our job even easier. Proceed to Step 2.
{{/markdown}}


Contributor Agreement
Entity Contributor exclusive License Agreement
(including the Traditional Patent License OPTION)
Thank you for your interest in contributing to eLife Sciences Publications, Ltd's Libero ("We" or "Us").
The purpose of this contributor agreement ("Agreement") is to clarify and document the rights granted by contributors to Us. To make this document effective please contact the team on<EMAIL_ADDRESS>to request a digitally signable copy.
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If You are an employee and have created the Contribution as part of your employment, You need to have Your employer approve this Agreement. If You have created the Contribution independently of Your employment then please sign the Individual Contributor License Agreement. If You do not own the Copyright in the entire work of authorship, any other author of the Contribution should also sign this – in any event, please contact Us at<EMAIL_ADDRESS>1. Definitions
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Recreate this Contributor License Agreement
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The video, posted on Twitter by the blog London Streets, shows an irate woman confronting a boy who she accuses of touching her son.
The furious mom gets up close and personal with the apparent bully, who is filming her, and begins “daring” the unidentified person to touch her son again.

The alleged bully is heard telling the woman “you can’t touch me, you ain’t allowed to touch me.”
At one point, the woman is seen stepping away from the child but returns after taking off her hat and putting her hair in a ponytail.
“I ain't from around here, you know who I am? I'm [child's] mom, I'm [child's] mom, yeah. No, I ain't gonna stop getting close,” the woman yells.
 I [expletive] dare you to.”
The mom added, “I’m warning you, I’m warning you — one more [expletive] time.”
The viral video has been viewed more than 64,000 times. Online commenters cheered on the woman for defending her son.
“I would smash the kids [sic] head in, I think she showed restraint considering!” someone tweeted. “This is how you protect your child, this is the language that bullies are familiar with.”
CLICK HERE TO SIGN UP FOR OUR LIFESTYLE NEWSLETTER
"It’s a mother’s natural instinct to protect their children"— A Twitter user says about mom in viral video
“Good on her! Kid knows his rights too much ‘you’re not allowed to touch me’ yet doesn’t know how to behave towards others,” another Twitter user wrote.
“It’s a mother’s natural instinct to protect their children,” someone else tweeted.
CLICK HERE TO GET THE FOX NEWS APP
Some comments suggested that, while the mother's reaction was understandable, she should have taken a less aggressive approach.
“Probably better to find out where the kid lives and go back and have an adult discussion about what’s been happening,” read one comment. “I’m sure the bully’s parents would be ashamed and would be angry with their son. Could even end with a long term friendship between bully and bullied.”


NonBlockingThreadPool
public class NonBlockingThreadPool<Environment> : ComputeThreadPool where Environment : ConcurrencyPlatform
An efficient, work-stealing, general purpose compute thread pool.
NonBlockingThreadPool
can be cleaned up by calling shutDown()
which will block until all
threads in the threadpool have exited. If shutDown()
is never called, NonBlockingThreadPool
will never be deallocated.
NonBlockingThreadPool uses atomics to implement a non-blocking thread pool. During normal
execution, no locks are acquired or released. This can result in efficient parallelism across
many cores. NonBlockingThreadPool
is designed to scale from laptops to high-core-count
servers. Although the thread pool size can be manually tuned, often the most efficient
configuration is a one-to-one mapping between hardware threads and worker threads, as this
allows full use of the hardware while avoiding unnecessary context switches. I/O heavy workloads
may want to reduce the thread pool count to dedicate a core or two to I/O processing.
Each thread managed by this thread pool maintains its own fixed-size pending task queue. The workers loop, trying to get their next tasks from their own queue first, and if that queue is empty, the worker tries to steal work from the pending task queues of other threads in the pool.
NonBlockingThreadPool
implements important optimizations based on the calling thread. There
are key fast-paths taken when calling functions on NonBlockingThreadPool
from threads that
have been registered with the pool (or from threads managed by the pool itself). In order
to help users build performant applications, NonBlockingThreadPool
will trap (and exit the
process) if functions are called on it from non-fast-path’d threads by default. You can change
this behavior by setting allowNonFastPathThreads: true
at initialization.
In order to avoid wasting excessive CPU cycles, the worker threads managed by
NonBlockingThreadPool
will suspend themselves (using locks to inform the host kernel).
NonBlockingThreadPool
is parameterized by an environment, which allows this thread pool to
seamlessly interoperate within a larger application by reusing its concurrency primitives (such
as locks and condition variables, which are used for thread parking), as well as even allowing
a custom thread allocator.
Local tasks typically execute in LIFO order, which is often optimal for cache locality of compute intensive tasks. Other threads attempt to steal work “FIFO”-style, which admits an efficient (dynamic) schedule for typical divide-and-conquor algorithms.
This implementation is inspired by the Eigen thread pool library, TFRT, as well as:
"Thread Scheduling for Multiprogrammed Multiprocessors"
Nimar S. Arora, Robert D. Blumofe, C. Greg Plaxton
-
Undocumented
Declaration
Swift
public typealias Task = () -> Void
-
Undocumented
Declaration
Swift
public typealias ThrowingTask = () throws -> Void
-
Initialize a new thread pool with
threadCount
threads using threading environmentenvironment
.Declaration
Swift
public init( name: String, threadCount: Int, environment: Environment, externalFastPathThreadCount: Int = 1, allowNonFastPathThreads: Bool = false )
Parameters
name
a human-readable name for the threadpool.
threadCount
the number of worker threads in the thread pool.
environment
an instance of the environment.
externalFastPathThreadCount
the maximum number of external threads with fast-path access to the threadpool.
allowNonFastPathThreads
true if non-fast-path’d threads are allowed to submit work into the pool or not. (Note: non-fast-path’d threads can always dispatch work into the pool.)
-
Registers the current thread with the thread pool for fast-path operation.
Declaration
Swift
public func registerCurrentThread()
-
Declaration
Swift
public func dispatch(_ fn: @escaping Task)
-
-
Declaration
Swift
public func join(_ a: ThrowingTask, _ b: ThrowingTask) throws
-
Executes
fn
, optionally in parallel, spanning the range0..<n
.Declaration
Swift
public func parallelFor(n: Int, _ fn: VectorizedParallelForBody)
-
Executes
fn
, optionally in parallel, spanning the range0..<n
.Declaration
Swift
public func parallelFor(n: Int, _ fn: ThrowingVectorizedParallelForBody) throws
-
Requests that all threads in the threadpool exit and cleans up their associated resources.
This function returns only once all threads have exited and their resources have been deallocated.
Note: if a work item was submitted to the threadpool that never completes (i.e. has an infinite loop), this function will never return.
Declaration
Swift
public func shutDown()
-
Declaration
Swift
public var maxParallelism: Int { get }
-
Declaration
Swift
public var currentThreadIndex: Int? { get }
-
Creates
self
using a default-initializedEnvironment
, and the specifiedname
andthreadCount
.Declaration
Swift
public convenience init(name: String, threadCount: Int)


| plot.mcmc {coda} | R Documentation |
plot.mcmc
summarizes an mcmc or mcmc.list object
with a trace of the sampled output and a density estimate
for each variable in the chain.
## S3 method for class 'mcmc' plot(x, trace = TRUE, density = TRUE, smooth = FALSE, bwf, auto.layout = TRUE, ask = dev.interactive(), ...)
x |
an object of class |
trace |
Plot trace of each variable |
density |
Plot density estimate of each variable |
smooth |
Draw a smooth line through trace plots |
bwf |
Bandwidth function for density plots |
auto.layout |
Automatically generate output format |
ask |
Prompt user before each page of plots |
... |
Further arguments |
Martyn Plummer


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