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Effekseer UnityPlugin
Table of Contents
Overview
Environment
How to import
How to use
├
Sample Project
├
About resource files
├
Play by emitter
├
Play by script
├
LWRP
└
Network
API Reference
Known issues
Todo
Release notes


I am really trying to understand classes beyond the syntax and general properties. I want to give purpose and meaning to classes, their super-class, and their sub-classes! So let me give it a go:
I love cheetahs. They're the most beautiful animal, both fierce and elegant. But I feel a little sad when they eat antelopes, another beautifully graceful animal. What do cheetahs and antelopes have in common? Well...they're both animals that eat something. So I'll make an Animal class that allows me to call the method #eat(food) to find out if my animal will eat that food.
Hm. Thinking back to my cheetah and antelope, cheetahs eat antelopes but antelopes do not eat cheetahs. So I'm going to make subclasses for all of the different type of eaters animals can be. Which means I should rep all the veggie-lovers out there too.
Since carnivores, omnivores, and herbivores are all just types of animals, they should have the same properties as animals. So notice that the Carnivore, Omnivore, and Herbivore classes are defined to inherit all of the functions of their parent Animal class.
Now let's write a #can_eat? method that describes what each of these subclasses can eat!  Omnivores eat both animals...and plants! Herbivores eat all plants. Wait, what are plants? No problem. We'll also make a new Plant class.
We had to define #can_eat? for each of our subclasses because, well, carnivores, omnivores, and herbivores don't eat the same things. They each need their own conditions. However, carnivores, omnivores, and herbivores all eat some kind of food, right? So now we will call each of the subclasses' #can_eat? methods in the Animal superclass.
Let's take a moment here to play around in irb. With the code we have so far, we can find out whether cheetah eats antelope. And...whether antelope eats cheetah?!
I am an omnivore. Would I eat cheetah or antelope? How about spinach?
What we've done is created instances of the Carnivore class (cheetah), the Omnivore class (human), Herbivore class (antelope), and the Plant class (spinach). We call the #eat method on our cheetah and antelope objects, even though it was defined in the Animal class. Why? Because the Carnivore and Herbivore subclasses inherited all functions of the Animal class! This is also true of the human object, which is an instance of the Omnivore class, which is a subclass of Animal. It's no surprise that the human thinks everything is yummy then since omnivores eat both meat and veggies!
This is a good demonstration of how to build a class, a subclass, and the relationship between those two things. If that is all you need, then feel free to stop here. It is a good introduction to Class structure and inheritance. But maybe you want to play around a little more with me...
What if I want to have multiple instances of the same subclass. Let's say I want to have two humans, two cheetahs, and two antelopes. I can create names. And since I want to name plants, carnivores, omnivores, and herbivores alike, I can create a superclass called Organism using "attr_accessor", which allows us to read and write each name as we please. We can also require the name when we initialize.
And in order for our Animal and Plant classes to fall under the Organism superclass and inherit this function, we have to explicitly state that, like this:
Back to irb! We can see that we have to input a name every time we instantiate an object under the Organism superclass.
Yay! And we can use the ability to read the name (since we used "attr_accessor") whenever we want. So let's do that by fancifying our messages when we call the #eat method.
Okay, okay. The very last thing I want to do is account for a couple of edge cases. What if human wants to eat another human?! Or worse...what if human wants to eat itself... Let's take that into account in our #eat method in the Animal class. To be clear, my name is Lynne and my friend is named Courtland.
And there we have it! A little exhaustive but I hope this was a good demonstration of what Classes are, when to use them, and how to use them!


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/default.20.2F.20inhabited.20for.20.E2.84.9A.2C.20.E2.84.9D.2C.20.E2.84.82.html ---
I'm going through TPIL's chapter on typeclasses and while messing around tried the following:
import data.complex.basic #reduce default ℚ -- no type class instance of inhabited ℚ #reduce default ℝ -- timeout #reduce default ℂ -- timeout
#check
succeeds on the last two.
Questions: Is the lack of something like
instance : inhabited ℚ := ⟨0⟩
in data.rat just an oversight or was this intentional? Why do the other two lines time out?
Meta-question: am I right that this doesn't really matter; i.e. default
is unlikely to be used in an "actual" proof?
I suspect that #reduce
fails on the last two because the reals and complexes are in general a pain to compute with -- they don't have decidable equality and they might well not even have an algorithm for printing out a real number. What would you expect sqrt(2) to look like in Lean? Is it supposed to print out all the digits? :-)
I would imagine that Q not being inhabited, if true, is an oversight.
They time out because a real number is built from a Cauchy sequence, and making a Cauchy sequence requires a proof that the sequence is Cauchy. When you #reduce a real, it will try to unfold this proof to axioms, and this will be huge.
Thanks, that makes sense! Out of curiosity, what would be the right way to get Lean to spit out the default elements for ℝ and ℂ then?
The best way to check what they are is to look at the definition of the inhabited instance. Reals don't have decidable equality, so given a real, lean cannot tell if it equals zero or not.
import data.real.basic definition d : inhabited ℝ := by apply_instance #print d /- def d : inhabited ℝ := real.inhabited -/ #check real.inhabited -- inhabited ℝ -- Now right-click on real.inhabited and select "peek definition"
I only mention this because I know of no other way of figuring out the real number which was used other than by looking at the source. I don't know how to look at the definition of d directly, as it were.
Ah, OK, so in general, instance : typeclass something
can be accessed with something.typeclass
. I must have read this somewhere...
Knowing that I can just #print real.inhabited
and read off {default := 0}.
As an aside, it seems that rat
is missing a bunch of other stuff too, like rat.ring
, rat.add_group
, rat.field
, etc. although they're all an easy by apply_instance
away.
waitwaitwait. If by apply_instance
works, it's there.
A lot of these instances might be being inferred automatically. For example, Lean knows that any field
is automatically a comm_ring
, a ring
, an add_monoid
etc etc.
waitwaitwait. If
by apply_instance
works, it's there.
Maybe I used the wrong words, but I was referring to the following behavior:
#check rat.comm_ring -- unknown identifier instance : comm_ring rat := by apply_instance #check rat.comm_ring -- Lean is happy
Another way of discovering the name is
```lean
def foo : inhabited real := by apply_instance
#print foo
Bryan, this is not a bug, this is what the type class system is about
You get cascading for free
Bryan, this is not a bug, this is what the type class system is about
Right, I didn't intend to imply that there were any bugs other than in my understanding.
https://github.com/leanprover/mathlib/pull/254
import data.rat definition x : comm_ring ℚ := by apply_instance #print x /- def x : comm_ring ℚ := field.to_comm_ring ℚ -/
Lean knows that the rationals are a commutative ring, but the instance is not called rat.comm_ring
, it's called something else.
If X
is an inductive type and there's something called X.foo
, and if a
has type X
, then you can sometimes talk about a.foo
on a good day. But that's not what's happening here. It's not rat
that has type comm_ring
, it's some other thing which has type comm_ring rat
.
Lean knows that the rationals are a commutative ring, but the instance is not called
rat.comm_ring
, it's called something else.
I don't think it has a name, it's just inferred from rat.discrete_linear_ordered_field
or something.
I guess the term is field.to_comm_ring ℚ
and there's no name for this term. On the other hand when instance : foo bar := blah
is run, Lean has a go at naming the instance itself using some vaguely sane algorithm.
It looks like field.to_comm_ring
itself is created automatically from extends comm_ring
in the class field
declaration.
Yeah, that's a cool part of type class inference. The projectors get constructed automatically.
import data.rat definition d : comm_monoid ℚ := by apply_instance set_option pp.all true #print d /- def d : comm_monoid.{0} rat := @linear_ordered_comm_ring.to_comm_monoid.{0} rat (@decidable_linear_ordered_comm_ring.to_linear_ordered_comm_ring.{0} rat (@discrete_linear_ordered_field.to_decidable_linear_ordered_comm_ring.{0} rat rat.discrete_linear_ordered_field)) -/
Type class inference is quite clever.
It looks much more persistent than clever when I put on set_option trace.class_instances true
:wink:
Last updated: Apr 24 2020 at 19:02 UTC


Your manager isn’t sure about how to approach infrastructure and configuration readiness to support Windows servicing. You’ve been asked to investigate how Woodgrove can define a repeatable process to ensure the environment’s infrastructure and configuration can support future Windows updates.
Previous deployments can help you understand what types of activities you’ll need to do to support the new update.
Infrastructure updates
Assess the infrastructure used to deploy and manage Windows 10. Confirm the support of the new Windows 10 feature update with your infrastructure management tooling, and determine the effort needed to update the infrastructure.
- Microsoft Endpoint Configuration Manager Current Branch – the latest release of Configuration Manager provides support for all serviced versions of Windows 10, and support for the next Windows 10 feature update. The Configuration Manager update is serviced for 18 months after release
- For those customers that use cloud-based infrastructure management tooling such as Microsoft Intune, supportability challenges will be reduced as no on-premises or client-side products need to be updated.
- For non-Microsoft on premises infrastructure tooling, confirm supportability and next steps with product support.
It is recommended to use data from previous deployments to get an idea of how long infrastructure changes take, previous challenges encountered when upgrading infrastructure, and the resources that need to be consulted, or informed about the update.
Configuration updates
Before you can apply the Windows 10 feature update to your environment, you’ll need to assess and update required configuration to ensure security and capabilities are configured appropriately, to support production devices. Organizations typically perform the following tasks:
Plan for Security baseline updates
Security baselines are designed to help you ensure your devices are configured with Microsoft recommended guidance. Security risks and threats are constantly changing, and updating security baselines helps to secure your environment and ensure new security features delivered as part of the Windows 10 feature update are configured accordingly. There are different security baselines your organization will in all likelihood need to implement. Plan to review the following:
- Microsoft security baselines: It is highly recommended that you implement security baselines from Microsoft. You can find them included with Microsoft’s Security Compliance Toolkit, which will also provide you with tools to help manage your security baselines.
- Industry or region-specific baselines: Your industry or region may have its own security baselines that you need to adhere to for compliance or regulatory reasons. For example, if Woodgrove is a financial organization, it may have additional required security configuration in the region it operates than a retail organization. Check to ensure any new baselines implemented support the version of Windows 10 you are deploying.
Plan for configuration updates
Review and configure policies that will help your devices take advantage of any new Windows 10 features, and ensure devices are set to apply updates when they are ready. The following items should be assessed ahead of implementation in the Prepare phase:
- Windows 10 Administrative Templates – Every Windows 10 feature update has a supporting administrative template, which can be imported into a customer environment to support new features of the operating system.
- Optimize Windows 10 update adoption – review the set of policies to assist with setting your devices to take updates, and keep them online while the update process is happening. This approach helps devices with low activity stay online to download and install updates, ensuring they have a serviced version of Windows 10.
Define operational readiness criteria
When you’ve deployed an update, you’ll need to make sure the update isn’t introducing new operational issues. And you’ll also ensure that if incidents arise, the needed documentation and processes are available. To achieve this, work with your operations and support team to define acceptable trends and what documents or processes require updating:
- Call trend: Define what percentage increase in calls relating to Windows 10 feature updates are acceptable or can be supported.
- Incident trend: Define what percentage of increase in calls asking for support relating to Windows 10 feature updates are acceptable or can be supported.
- Support documentation: Review supporting documentation that requires an update to support new infrastructure tooling or configuration as part of the Windows 10 feature update.
- Process changes: Define and update any processes that will change as a result of the Windows 10 feature update.
Operations or support can help you determine if the appropriate information is being tracked at the moment, and if it’s not being tracked, work out how to get a hold of it so you can gain the right insight.
Tasks
Finally, you can begin to carry out the work needed to ensure your infrastructure and configuration can support the update. To help you keep track, you can classify the work into the following overarching tasks:
- Review infrastructure requirements: Go over the details of requirements to support the update, and ensure they’ve all been defined.
- Validate infrastructure against requirements: Compare your infrastructure against the requirements that have been identified for the update.
- Define infrastructure update plan: Detail how your infrastructure will need to be changed to support the update.
- Review current support volume: Understand the current support volume to understand how much of an effect the update has when it’s been deployed.
- Identify gaps that require attention: Identify issues that will need to be addressed to successfully deploy the update. For example, will your infrastructure engineer have to research how a new feature that comes with the update might affect the infrastructure?
- Define operational update plan: Detail how your operational services and processes will need to be changed to support the update.
Outputs
You will now be able to create the following updates artifacts that you can use for the next phase in the workstream:
Next unit: Modernize your production environment
Continue


@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.FrontendAppConfig @import models.takeovers.AddressChoice @import uk.gov.hmrc.play.views.html.helpers.form @import views.html.helpers.{errorSummary, inputRadioGroupAddresses} @import views.helpers.TitleHelper.title @(otherBusinessAddressForm: Form[AddressChoice], previousOwnerName: String, addressSeq: Seq[NewAddress])(implicit request: Request[_], messages: Messages, appConfig: FrontendAppConfig) @main_template(title = title(messages("page.takeovers.otherBusinessAddress.title", previousOwnerName),otherBusinessAddressForm)) { @Messages("common.button.back") @errorSummary( Messages("common.errorSummary.label"), otherBusinessAddressForm, dataJourney = Some("TakeOvers") )
@messages("page.takeovers.otherBusinessAddress.line1", previousOwnerName)


Computer Science
Carnegie Mellon University
412-268-5728
<EMAIL_ADDRESS>Psychology
Carnegie Mellon University
412-268-3785
<EMAIL_ADDRESS>Computer Science, Psychology, and HCI Institute
Carnegie Mellon University
412-268-7182
<EMAIL_ADDRESS>FIGURE 1. Scrolling sequences, by sequence length.
FIGURE 2. Sample navigation: Scrolling from memory.
In E1, the user is looking at a chunk, or production. She expresses a lack of knowledge about its tests, or conditions (t18). She examines them, then notes an operator test (t21). Later, in E2, she recalls something about an operator test (t400). This prompts her to scroll back to the screen from E1.
The two episodes are 6 minutes apart, in which time the user issued 2 other scrolling sequences and 28 commands to the Soar interpreter. The output from these commands added 3 new pages to the bottom of the process buffer. Thus there is enough separation, in terms of time, tasks, and display changes, to indicate that the user's knowledge of the E1 display is encoded in her long-term memory.
The goal of this paper, and of the model we describe next, is to explain how this memory was encoded, what it represents, and how it was activated.
Our model has three components that combine to produce an explanation of the behavior in the example above: knowledge, an encoding mechanism provided by an underlying cognitive architecture, and mechanisms for memory retrieval. Knowledge is the primary ingredient in most performance models of human behavior in HCI. The encoding mechanism automatically encodes information about the programming session into long-term memory, accounting for the memory implied by our user's behavior. Retrieval mechanisms on top of the architecture produce the effortful retrieval process that accounts for her navigation.
Our model has access to three distinct kinds of knowledge: expert, external, and situation. Expert knowledge is what we would expect a skilled programmer to bring to a programming task. This comprises knowledge about the particular program to be modified, including specific data structures and functions; knowledge about the implementation language, including its central concepts and idioms; and knowledge of computer science fundamentals, like data structures and algorithms. Such knowledge is typically found in expert systems and other symbolic AI programs. Expertise also includes knowledge of the programming environment, including procedures for navigation. This is the kind of expertise represented in the operators, methods, and selection rules of GOMS models [3].
Our model has expert knowledge about objects and their relations. Figure 3 shows the hierarchy. Some of this knowledge is specific to the user's program, and some of it is general to the language the program is implemented in (Soar). The model also has expertise about scrollable buffers; specifically, that if something was once on the screen but isn't now, scrolling through previous pages will bring it back into view.
FIGURE 3. Objects and relations in the user's program.
External knowledge rests in the display, coordinating with internal knowledge to extend a problem-solver's effective memory [4, 5, 9, 10]. It has an immediately-available component, which is visible. It also has a hidden component, which can be made accessible by navigation. Computational models that address the display as external knowledge often treat only the immediately-available component(e.g., [1, 5, 8]).
Situation knowledge describes a particular session with the interpreter. For example, our user's navigation behavior shows that she knows she has seen something earlier in the session, and also that she has some idea of what objects she tried to comprehend earlier in the session. Situation knowledge is an important driver of navigation through her process buffer, because navigation is often in pursuit of something she has seen before. Since this information only arises in the course of a session, for it to influence behavior it must be learned on the fly. Although HCI has investigated the acquisition of expert procedural knowledge (e.g., [6, 15, 16, 18]), this encoding and retrieval of situation knowledge has not yet appeared in many user modeling efforts.
Our programmer seems to put little effort into encoding situation knowledge. It could be that she somehow keeps all such knowledge in working memory for a long time while juggling other tasks, but this is not cognitively plausible. An alternative is to posit a limited working memory, dictating that the programmer must externalize situation knowledge onto paper or the display [4, 5, 17]. However, there is no evidence that our programmer externalizes knowledge. The remaining alternative is that some process encodes situation knowledge into long-term memory (LTM) automatically, without any effort that would surface in a verbal protocol.
To get this kind of automatic encoding in our model, we have adopted Soar [12] as the underlying cognitive architecture. This gives us integrated learning and performance. It also affords the opportunity to connect to other relevant Soar models; such connections have led to improved and integrated coverage of complex user data [11].
As it functions in our model, Soar proceeds by trying to comprehend program objects, one at a time. For brevity, we refer to the object being comprehended as the goal. Soar tries to comprehend the goal by generating knowledge, either by retrieving knowledge from its own LTM, or by consulting external memory, or by some combination. This generated knowledge accumulates in working memory (WM), an ephemeral store created anew for each goal.
As a side-effect of generating new knowledge, Soar encodes a new rule in LTM, to avoid having to generate this knowledge again. This rule transforms existing knowledge (its conditions) into new knowledge (its actions). The situation rule can only activate when the existing knowledge is present in WM. Situation rules can be sensitive to both display features and goals. Display conditions arise when the model looks to the display for new knowledge. Goal conditions arise because the object being comprehended typically helps determine what new knowledge is relevant.
Situation rules depend on highly-specific WM contents. To make use of these rules requires mechanisms, on top of the architecture, that try to activate rules by intelligently generating WM contents.
With Soar as the underlying architecture, the model automatically learns rules that recognize specific situations. But how can we get the model to recall something later when the goal or the display has changed? Just as with people, recall is more difficult than recognition, and our model must use a more complex mechanism.
The model has to search LTM intelligently, or it will never activate anything. We refer to this guided search as probing. At a high level, probing is similar to Rist's cue-based memory search [17]. It also corresponds closely to the mechanistic aspects of the Model Human Processor's long-term memory [3].
Probing generates two kinds of cues: semantic and image. These correspond to the two kinds of conditions in situation rules: goals and display features. Semantic cues are objects that the model may have tried to comprehend during the programming session, and so might know something about. Image cues are objects that the model may have seen on the display. Probing generates these cues by drawing upon expert knowledge about what cues may be useful.
In principle, probing can activate any of the model's knowledge, both expert and situation. The extent to which it does in practice depends on its success at generating cues. With respect to Figure 3, the more objects and relations the model has access to, the better it will be able to search its LTM. Thus as a general problem-solving mechanism, probing has the important property that it can transform additional expertise into better performance.
The components of our model are knowledge (expert, external, and situation), automatic encoding (to learn situation knowledge), and probing (to activate knowledge). They combine to produce the behavior of our expert programmer, as we describe in the next section.
Below we discuss our model in detail as it emulates the behavior in our navigation example. The first three columns of Figure 4 replicate the display, time course, and utterances from Figure 2. The right column is new, and shows a trace of the model's rules that follow the programmer's behavior. The dashed lines make connections where display features and utterances are explicit evidence for the model's knowledge.
The programmer's high-level task for this session is to modify the program so it will learn slightly different natural-language comprehension rules than it currently learns. Therefore, she wants to understand what the program currently learns (the chunks it builds) before she modifies the code. Just before E1, she printed out the chunk shown in the upper left of Figure 4, to try to comprehend it. During E1 she phrases a question about "it", specifically about what "it's testing" (t17-18). She pauses, searching for tests on the display, then determines that the chunk tests an "operator" (t21).
Setting a goal. The model, reflecting what the user has attended to at this point, has a chunk represented in WM. From expert knowledge about Soar, the model knows that chunks are important to comprehend. It also knows that chunks have tests, and that tests have an important functional role within a chunk. It therefore sets a goal to understand chunk tests.
Expert rule (Soar knowledge): 1.1 if WM says that a chunk exists, but says nothing about its tests, set a goal to comprehend chunk tests.
Learning situation knowledge about the goal. The first thing the model does when it sets a new goal is encode into LTM that it has indeed set that goal during this session. This is a mechanism that supports probing. If the model sets the same goal in the future, the rule will fire as a hint to the model that it might already know something about this goal, from a previous time.
Learned situation rule: 1.2 if the goal is to comprehend tests, add to WM that this goal was set before.
Attending to the display. Trying to comprehend chunk tests, the model looks at the display. Whether a chunk contains an operator test is critical to understanding its high-level functionality. Operator tests are therefore important to look for when trying to comprehend a chunk's tests.
For the model, the string ^operator, underlined on the upper left of Figure 4, is the beacon [2, 17, 19] for the existence of an operator test. No matter what other details of a specific operator appear in a chunk test, the chunk will contain the beacon if and only if the chunk tests an operator. This beacon knowledge represents expertise about the language.
Expert rule (Soar knowledge): 1.3 if the goal is to comprehend chunk tests, and we see an operator test, add to WM what that we see an operator test.
Learning situation knowledge about the display. The operator test is new knowledge about the chunk's tests. The model captures this knowledge by creating a new rule. This rule will fire whenever the goal is to comprehend a chunk and when working memory contains an operator test. The rule firing will remind the model that it saw an operator test on the display.
Learned situation rule: 1.4 if the goal is to comprehend chunk tests, and WM contains an operator test, add to WM that we saw it on the display.
Implications of this Learning. The model learned two pieces of situation knowledge during this episode. The first (1.2) is a rule that will recognize a particular goal and note in WM that it has been set some time during this session. The second (1.4) is a rule that will recognize when WM contains an operator test, in the context of a goal to comprehend chunk tests, and note in WM that it has seen an operator test in a chunk before.
What the model did not learn from this episode was anything beyond the feature it attended to. For example, the model encoded neither the s-constructor16 test nor the s-constructor test, despite their proximity to the operator test. This narrowly-focussed encoding will become important in the retrieval episode, described next.
Just prior to E2, the programmer printed out a program object (o29) that she now wishes to comprehend. As E2 begins, she sees new-operator o24. She then attends to s-constructor16 (t382), following the shared identifier o24. Pausing, she says "eeuuu rats" (t388) and articulates an insight about "those chunks" (t397). She thinks they may contain operator tests. To confirm this hypothesis, she scrolls back (t399-407) to the display from E1, which showed a chunk and its tests. She finds what she is looking for, identifying a chunk test for s-constructor16.
Probing with an operator. The trace begins after the model has attended to everything immediately connected to the just-printed object. The model also followed the link from new-operator o24 to o24 s-constructor16. There is nothing else relevant to look at on the display, so the model begins to probe.
The model uses several kinds of expert knowledge to generate probes. One kind is related to the knowledge that guided rule 1.3 to attend to an operator test. The model knows that operators are both ubiquitous and one of the main functional units in the language. The probing mechanism guesses that any operator will inform any context in which it appears. If any operator appears in WM, the probing mechanism converts it into a semantic cue. Thus the probing mechanism draws on familiarity with what objects are common and important in the language. The first probe it generates is s-constructor16.
Probe rule: 2.1 if WM contains an operator (s-constructor16), and we lack more urgent thoughts, probe to see what we know about it.
FIGURE 4. Learning and activating situation rules for scrolling. Dashed lines make connections where display features and utterances are explicit evidence for the model's knowledge. Boldface indicates learned rules.
Retrieval in response to a probe. While operators are central to the Soar language, the s-constructor is central to this program. It is an abstract functional class, representing the collection of specific tokens like s-constructor16. An expert rule fires putting information about the abstract class into WM.
Expert rule (program knowledge): 2.2 if probed with s-constructor16, add to WM that its class is s-constructor.
In general, any number of rules like this can fire in parallel in response to a probe. Thus different pieces of information about s-constructor16 could appear at this point in the trace. For example, had the model attended to the name of the operator in E1 (which was s-constructor16), it would have encoded situation knowledge about s-constructor16 that might have fired at this point. However, the model learned only about the operator test during E1, thus has no situation knowledge about s-constructor16. This means it must try again to trigger its memory, by generating another cue.
Probing with a class. Expert knowledge of the language tells the model that information about a class could be relevant to tokens of that class. Therefore the model uses s-constructor as a cue.
Probe rule: 2.3 if WM contains a class (s-constructor), and we lack more urgent thoughts, probe to see what we know about it.
This probe retrieves an association between s-constructor and chunks. All s-constructor operators build chunks; this is expert knowledge about the program.
Expert rule (program knowledge): 2.4 if probed with s-constructor, add to WM that it builds a chunk.
Setting a goal. The model has recalled something about a chunk. This creates a similar WM context as in E1, after the model had attended to the chunk on the display. The same knowledge that applied there also applies here.
Expert rule (Soar knowledge): 1.1 if WM says that a chunk exists, but says nothing about its tests, set a goal to comprehend chunk tests.
Situation knowledge applied to probing. Now that a goal to comprehend chunks is in WM, the situation rule learned in E1 fires. It reminds the model that this goal has been set previously in this session.
Activated situation rule: 1.2 if the goal is to comprehend chunk tests, add to WM that this goal was set before.
The probing mechanism knows that a previously-set goal is a good candidate for a semantic cue. This is the most general heuristic that the probing mechanism has for generating cues. It applies automatically, in the sense that the model learns to recognize every new goal, and every recognized goal becomes a probe. Probing with the goal when it was previously set allows the model to accumulate knowledge about it in increments, in a pattern of progressive deepening [7, 13].
Probe rule: 2.5 if the goal was set before, and we lack more urgent thoughts, probe with the goal (to comprehend chunk tests).
In this case, probing with the current goal retrieves nothing. The situation knowledge encoded in rule 1.4 requires both that an operator test be in WM and that the goal be to comprehend chunk tests. This points to the crux of the problem with retrieving situation knowledge. The automatic encoding provided by the underlying architecture produces knowledge that is so specific to the situation that it cannot be evoked with just a partial match to that situation. In this case, both the chunk-tests goal and the operator test must be present in WM for rule 1.4 to fire.
The model can tell that the probe failed, because no additional knowledge is retrieved. However, it still has the information that the current goal was selected earlier; the model must have learned something then. The question is how to evoke it.
In E1, with the same goal as now, the model attended to an operator test on the display (rule 1.3), because expert knowledge about the language said this was a useful thing to do. The probing mechanism now uses the same knowledge here, to generate an operator test as an image cue. In this way the probing mechanism is essentially imagining beacons.
Probe rule: 2.6 if the goal was to comprehend chunk tests, and probing returned nothing, and we lack more urgent thoughts, imagine an operator test.
Situation knowledge drives navigation. After the previous probe, WM contains an operator test. Rule 1.4 now fires, and the model retrieves the fact that it saw an operator test on the display. The protocol contains explicit evidence that the programmer is thinking about an operator test (t400).
Activated situation rule: 1.4 if the goal is to comprehend chunk tests, and WM contains an operator test, add to WM that we saw it on the display.
Expert knowledge about the programming environment says that in a process buffer, all user input and process output occurs at the bottom. To find a hidden feature, there is nowhere to look but up, so the model scrolls up through previous pages.
Expert rule (programming environment): 2.7 if we imagined something (operator test) and WM says we saw it on the display, scroll up to find it.
Implications of this Retrieval. The programmer retrieves information about a previous situation. This raises a question: Why does she need to navigate at all? Couldn't she simply search internally to evoke the right memory?
The model suggests an explanation: she didn't encode all the details of the E1 display. The model encoded only that it saw an operator test. Even though s-constructor16 was on the screen in E1, and is on the screen during E2, and is even explicitly referred to by the programmer during E2, there is no situation knowledge that encodes s-constructor16 as a chunk test. This is consistent with the E1 protocol, in which the user says nothing about s-constructor16 as she examines the chunk's tests. Thus the model suggests that her need to scroll to the E1 display arises because she did not encode the information that would have answered her hypothesis about chunk tests (t397-408).
Similarly, the user refers to the class s-constructor during E2.
For the model, the presence of s-constructor in WM is again not
enough to retrieve any explicit memories from E1, because it was
not encoded in any situation knowledge. With the chunk
redisplayed, however, the model can use its knowledge of the
language to follow the common symbol


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| Serving at: La Iglesia Bautista La Conexión a La Esperanza Serving From: Latham Bible Baptist Church Serving with: abwe |
|||
| We, the ABWE missionaries serving in Ecuador choose to team together to establish a national church planting movement that will result in an international missionary movement by partnering with Ecuadorian believers through evangelism, discipleship, leadership training and fellowship for the glory of God. |


We’re students of the Faculty of Automatic Control and Computers, Politehnica University of Bucharest. First year of study.
We’ve designed a cruise control system (with automatic overtaking) that controls the vehicle speed by adapting to its environment.
Once in a while:
If the random vehicle’s speed is lower than a threshold, then it can only change lanes to the right.
Each vehicle applies an acceleretion that:
After a random vehicle receives an order, it will wait longer before changing them randomly.


Greetings from Mrs. Estella
PLOT 23 Felix
Avenue
Abidjan -Cote
d.Ivoire
Dear,
It is my
pleasure to contact you for a business venture which I and
my Son,intend to establish in your country. Though I have
not met with you
before but I believe, one has to risk
confiding in someone to succeed sometimes in life. There
is this amount of Eight million, five hundred
thousand
United State Dollars($8.500,000) which my late Husband
deposited with a security company in Abidjan Capital city
of Cote d.Ivoire which he wanted to used for his political
reason in our Country before he was
assassinated.
Now I and my son have decided
to invest these money in your country or any wheresafe
enough outside Africa for security and political reasons. We
want youto help us claim and receive the consignment which
will be sent to you through diplomatic meansto your
address to avoid any traces of the funds and to enable you plan
for theinvestment in your Country: I will like to invest
part of the money into these three investment in your Country
but, if there is any other business that is better
thanwhat I am suggestion, I will be
very glad to
follow your advice.
1). Real
estate
2). The transport industry
3). Five
star hotel
If you can be of an assistance to
us we will be pleased to offer to you 20% Of the total
fund while the balance will be invested by you.
I await
your soonest response.
Respectfully
yours,
PLEASE CONTACT ME THROUGH
THIS EMAIL ADDRESS<EMAIL_ADDRESS>Mrs
Estella Richard
________________________________
Free POP3 Email from www.gawab.com
Sign up NOW and get your account @gawab.com!!


Be a part of the next step of interconnected space education. Register now and help to build the future!
Catalogue Number: {{satellite.catalogue_number}}


@(First name)
@(Last name)
@(Email address)
@(Phone number)
@(Street)
@(ZIP)
@(City)
@(Country)
@(Billing to company)
@(Company name)
@(Company ID)
@(VAT number)
@(Delivery)
@(Please choose a type of delivery.)
@(Payment)
@(Please choose a type of payment.)
@(First name)
@(Last name)
@(Phone number)
@(This phone number is for courier.)
@(Note)
@(I want to be notified about discounts and news)
@(I agree with terms and conditions)


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Connection Status:
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Model Number:
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Firmware Revision:
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Button Status:
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LED Matrix:
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LED Message:
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UART Request:
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UART Response:
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Type a number in the box!
Click a math operation button!
Type another number!
Hit enter to see result!
Add
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Multiply
Divide
Square
Square Root


{{gettext("NFTs are going mainstream.
DeFi is eating traditional finance.")}}
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Your CV should include:
Sign UP with your uni ID and Download Webstorm from jet brains ,Kindly only use webstorm for front-end(html,css,js,Bootstrap4,jQuery,React) Click here to sign-up
Sign UP with your uni ID and Download Webstorm from jet brains ,Kindly only use webstorm for front-end(html,css,js,Bootstrap4,jQuery,React) Click here to sign-up
Dont miss jQuery and ajax in it we are going to use a lot of it in future
Install pycharm from jetbrains website by signing up with your university email,and use pycharm for python development
Install pycharm from jetbrains website by signing up with your university email,and use pycharm for python development
Install pycharm from jetbrains website by signing up with your university email,and use pycharm for python development
Install pycharm from jetbrains website by signing up with your university email,and use pycharm for python development
Install pycharm from jetbrains website by signing up with your university email,and use pycharm for python development
Install pycharm from jetbrains website by signing up with your university email,and use pycharm for python development
Install pycharm from jetbrains website by signing up with your university email,and use pycharm for python development
Install pycharm from jetbrains website by signing up with your university email,and use pycharm for python development
Install pycharm from jetbrains website by signing up with your university email,and use pycharm for python development
Install pycharm from jetbrains website by signing up with your university email,and use pycharm for python development
Install pycharm from jetbrains website by signing up with your university email,and use pycharm for python development
You can take idea from this video but you have to make your own blog site ,you can download free templates of bootstrap and can modify them Click me for free templates
everyone should have a get API for their blog site , once you are done with your site deploy it on heroku
Use Slack For communication
Use git for code controlling ,your team should use pull fetch push techniques and should work by making branches
Once you are done with project everyone has to record his/her project and should upload the video on youtube
3 members in each group


Class: Aws::Backup::Types::RestoreJobsListMember
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb |
Overview
Contains metadata about a restore job.
Constant Summary
Instance Attribute Summary
-
#account_id ⇒ String
rw
The account ID that owns the restore job.
-
#backup_size_in_bytes ⇒ Integer
rw
The size, in bytes, of the restored resource.
-
#completion_date ⇒ Time
rw
The date and time a job to restore a recovery point is completed, in Unix format and Coordinated Universal Time (UTC).
-
#created_resource_arn ⇒ String
rw
An Amazon
::Aws::Backup::Resource
Name (ARN) that uniquely identifies a resource. -
#creation_date ⇒ Time
rw
The date and time a restore job is created, in Unix format and Coordinated Universal Time (UTC).
-
#expected_completion_time_minutes ⇒ Integer
rw
The amount of time in minutes that a job restoring a recovery point is expected to take.
-
#iam_role_arn ⇒ String
rw
Specifies the
::Aws::IAM
role::Aws::ARN
used to create the target recovery point; for example,arn:aws:iam::123456789012:role/S3Access
. -
#percent_done ⇒ String
rw
Contains an estimated percentage complete of a job at the time the job status was queried.
-
#recovery_point_arn ⇒ String
rw
An ARN that uniquely identifies a recovery point; for example,
arn:aws:backup:us-east-1:123456789012:recovery-point:1EB3B5E7-9EB0-435A-A80B-108B488B0D45
. -
#resource_type ⇒ String
rw
The resource type of the listed restore jobs; for example, an Amazon Elastic Block Store (Amazon
::Aws::EBS
) volume or an Amazon Relational Database Service (Amazon::Aws::RDS
) database. -
#restore_job_id ⇒ String
rw
Uniquely identifies the job that restores a recovery point.
-
#status ⇒ String
rw
A status code specifying the state of the job initiated by
::Aws::Backup
to restore a recovery point. -
#status_message ⇒ String
rw
A detailed message explaining the status of the job to restore a recovery point.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Structure#to_h. |
Instance Attribute Details
#account_id ⇒ String
(rw)
The account ID that owns the restore job.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#backup_size_in_bytes ⇒ Integer
(rw)
The size, in bytes, of the restored resource.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#completion_date ⇒ Time
(rw)
The date and time a job to restore a recovery point is completed, in
Unix format and Coordinated Universal Time (UTC). The value of
CompletionDate
is accurate to milliseconds. For example, the value
1516925490.087 represents Friday, January 26, 2018 12:11:30.087 AM.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#created_resource_arn ⇒ String
(rw)
An Amazon ::Aws::Backup::Resource
Name (ARN) that uniquely identifies a resource.
The format of the ::Aws::ARN
depends on the resource type.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#creation_date ⇒ Time
(rw)
The date and time a restore job is created, in Unix format and
Coordinated Universal Time (UTC). The value of CreationDate
is
accurate to milliseconds. For example, the value<PHONE_NUMBER>.087
represents Friday, January 26, 2018 12:11:30.087 AM.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#expected_completion_time_minutes ⇒ Integer
(rw)
The amount of time in minutes that a job restoring a recovery point is expected to take.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#iam_role_arn ⇒ String
(rw)
Specifies the ::Aws::IAM
role ::Aws::ARN
used to create the target recovery point;
for example, arn:aws:iam::123456789012:role/S3Access
.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#percent_done ⇒ String
(rw)
Contains an estimated percentage complete of a job at the time the job status was queried.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#recovery_point_arn ⇒ String
(rw)
An ARN that uniquely identifies a recovery point; for example,
arn:aws:backup:us-east-1:123456789012:recovery-point:1EB3B5E7-9EB0-435A-A80B-108B488B0D45
.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#resource_type ⇒ String
(rw)
The resource type of the listed restore jobs; for example, an Amazon
Elastic Block Store (Amazon ::Aws::EBS
) volume or an Amazon Relational
Database Service (Amazon ::Aws::RDS
) database. For Windows Volume Shadow
Copy Service (VSS) backups, the only supported resource type is
Amazon EC2.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#restore_job_id ⇒ String
(rw)
Uniquely identifies the job that restores a recovery point.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#status ⇒ String
(rw)
A status code specifying the state of the job initiated by ::Aws::Backup
to
restore a recovery point.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end
#status_message ⇒ String
(rw)
A detailed message explaining the status of the job to restore a recovery point.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 5786
class RestoreJobsListMember < Struct.new( :account_id, :restore_job_id, :recovery_point_arn, :creation_date, :completion_date, :status, :, :percent_done, :backup_size_in_bytes, :iam_role_arn, :expected_completion_time_minutes, :created_resource_arn, :resource_type) SENSITIVE = [] include Aws::Structure end


| Apache Struts 2 Documentation > WebWork 2.2.1 |
Portlet Integration
Validation
UI Tags
Tools
Misc
WebWork 2.2.1 is a bugfix release for the 2.2 release a month ago.
If you have used the previous portlet integration code, you should check the portlet-webapp for an example.
The DTD public IDs in xwork.dtd were incorrect in the 1.1. release.
Make sure your DOCTYPE definitions for xwork.xml files look like this:
For xwork 1.1:
<!DOCTYPE xwork PUBLIC "-//OpenSymphony Group//XWork 1.1//EN" "http://www.opensymphony.com/xwork/xwork-1.1.dtd">
For xwork 1.1.1:
<!DOCTYPE xwork PUBLIC "-//OpenSymphony Group//XWork 1.1.1//EN" "http://www.opensymphony.com/xwork/xwork-1.1.1.dtd">
For a complete list of all the changes, please refer to the complete changelog


Categories: 1 = Main || 2 = Side || 3 = Drinks
Item Price: Enter price with decimal value e.g price = 10.00
Kitchen Stations: 1 = Grill || 2 = Stove Top || 3 = Deep Fryer || 4 = Curries+Stews || 5 = Drinks


{% extends "base.html" %} {% block helppage %}
This is the topic lead scheduling screen.
On the left side you'll see the Proposals to schedule. That's the list of sessions that are in Preapproved state that you need to include in your schedule. On the right side you have the resulting Schedule, with one rectangle for each time slot you have available in your topic.
You assign sessions to slots simply by drag-and-dropping from the left column to the right column. You remove a session from a slot by clicking the icon that appears next to it.
Assigned sessions switch to Scheduled state, and their status cannot be changed anymore from the topic review screen. You have to remove them from the schedule if you want to change their status.
You can assign multiple sessions in a single slot. If you do that, it's generally a good idea to also rename the merged session title and provide a small description that will appear before each merged session descriptions. You can do so by clicking on the icon in the slot.
You can also swap slots positions in your schedule, while keeping their content intact, by clicking on the icon.
Once your schedule is complete, you can click on the Push to Sched button to sync your schedule with the general sched.org online schedule.
{% endblock %} {% block content %}


There seems to be no BACnet device in this specific network. Ensure that all devices are connected to the network and are able to communicate.
Read more in the FAQs about possible solutions.


Clean and Green, That’s My Singapore
Singapore prides itself on being the “City in the Garden” – and it very well stands by that image. The city is shrouded with greenery - from the meticulously planted shrubs along the roads to the development of green spaces in various neighbourhood heartlands.
Yet, the perfectly manicured garden city that we see today is the culmination of the environmental education campaigns that started as early as 1958. Early environmental campaigns in the 1960s and 1970s were mainly advocating for the major clean-up of the city.
We needed to “[behave] more like first world citizens, not like third word citizens – spitting and littering all over the place”, said the first PM.
And so, campaigns such as the were introduced to inculcate cleanliness in public areas such as work spaces, parks and common areas in the HDB estates. Posters reminded Singaporeans to before throwing and in the numerous public bins provided. This also included keeping Singapore mosquito free (1969) and pollution free (1970), as well as ensuring a clean water supply.
The was also introduced during this decade. Alongside this campaign, public spaces were adorned with abundant lush greenery on top of the newly cleaned environment.
The massive clean-ups also saw the eradication of informal street hawking. Hawking food became came under the state's purview which required hawkers to have licences and stalls collectively housed under the hawker centres. Concurrent to this cleanliness movement was the attention to that inculcated washing hands before consuming food and using clean culteries and tableware.
By the 1990s, environmental campaigns morphed beyond general cleanliness and hygiene issues with the launch of in 1992, and the start of the yearly Clean and Green Week campaign. Sustainability and environmental awareness goals, such as the clichéd ‘reduce, reuse, recycle’, were introduced to discourage Singaporeans from wasteful consumption and mindful disposal of refuse. In part, this paralleled the global green movement that manifested in international cooperative efforts like 1992 The Earth Summit in Rio de Janeiro which Singapore had a part in.
Environmental campaigns also reflected events on the ground that are affecting the masses. The 2003 SARS outbreak in Singapore saw the launch of as part of the "We Care. We’re OK" campaign. It was a massive public education campaign to continuously remind Singaporeans on personal hygiene at home, in school, in public areas of high footfalls such as . This campaign rallied solidarity among Singaporeans, appealing for individuals to do their part to fight against the common enemy, SARS.
Similarly, the spike in the dengue cases in the early 2000s mobilised anti-dengue campaigns that advocated . Posters warned Singaporeans of dangers of the dengue hemorrhagic fever from unintentionally breeding the Aedes mosquitos in their homes and work spaces. posters are often seen in the lift lobbies of public housing blocks and offices to remind Singaporeans to stagnant waters.
The environmental issues mentioned above are visualised in the bar chart below. Each colour represents a general objective. Hover over the coloured boxes to see the posters and how their style have changed over the years.


Colossus
Colossus is a fun event where you just play by your instincts and smartness. Nothing related to
marketing or sales whatsoever. No intricate calculations required!The main round is similar to Bluffmaster, where the participants have to guess the probable answers to
a given question. Higher the answer ranks on our pre-defined list of the possible answers, more are the
points awarded. Each question round has a secret Bluffmaster team which has all the answers to that
question. At the end of each round, the Bluffmaster team is tried to be identified by other teams."So have you got it in you, the kind of savvy to steal the show? Or will you tumble on your own bluff?"
Colossus
Colossus is a fun event where you just play by your instincts and smartness. Nothing related to
marketing or sales whatsoever. No intricate calculations required!The main round is similar to Bluffmaster, where the participants have to guess the probable answers to
a given question. Higher the answer ranks on our pre-defined list of the possible answers, more are the
points awarded. Each question round has a secret Bluffmaster team which has all the answers to that
question. At the end of each round, the Bluffmaster team is tried to be identified by other teams."So have you got it in you, the kind of savvy to steal the show? Or will you tumble on your own bluff?"
B-plan
“Having a plan will take you a step further”
All those budding entrepreneurial minds that had a spirit to turn their imaginations into reality, started
it all with the blueprint of their success story, i.e. a Business Plan. A Business Plan, a necessary tool for
all businesses is a formal statement of business goals, reasons they are attainable, and plans for
reaching them. A Business Plan must include Startup Analysis, Competitive Analysis, Customer Analysis,
Strategy Implementation, Marketing Plan, and Financial Plan. A well written B-PLAN helps the team to
do SWOT (Strength, Weakness, Opportunity, Threats) Analysis.The Participants have to register at https://tinyurl.com/arhn-bplan2018 for the competition with a
team consists of maximum 4 numbers of members including. They are expected to submit a well
structured B-Plan written according to a specified format within a deadline.The judging for the best B-Plan will be done on the basis of financial viability, organizational capacity
building, communication and marketing skills etc.
B-plan
“Having a plan will take you a step further”
All those budding entrepreneurial minds that had a spirit to turn their imaginations into reality, started
it all with the blueprint of their success story, i.e. a Business Plan. A Business Plan, a necessary tool for
all businesses is a formal statement of business goals, reasons they are attainable, and plans for
reaching them. A Business Plan must include Startup Analysis, Competitive Analysis, Customer Analysis,
Strategy Implementation, Marketing Plan, and Financial Plan. A well written B-PLAN helps the team to
do SWOT (Strength, Weakness, Opportunity, Threats) Analysis.The Participants have to register at https://tinyurl.com/arhn-bplan2018 for the competition with a
team consists of maximum 4 numbers of members including. They are expected to submit a well
structured B-Plan written according to a specified format within a deadline.The judging for the best B-Plan will be done on the basis of financial viability, organizational capacity
building, communication and marketing skills etc.
Behind the Dots
"Marketing is no longer about the stuff that you have, but the stories that you tell." Using charm and logic, get
ready to be a part of the ultimate pitching experience. Unveil your whacky ideas as you race past others in wit,
intelligence and marketing strategies this maze of thrill and excitement. Make sure your business quotient counts,
as you elevate yourself to a whole new level never seen before. The dots are summoning those with a zeal to
achieve and a desire to conquer.
Behind the Dots
"Marketing is no longer about the stuff that you have, but the stories that you tell." Using charm and logic, get
ready to be a part of the ultimate pitching experience. Unveil your whacky ideas as you race past others in wit,
intelligence and marketing strategies this maze of thrill and excitement. Make sure your business quotient counts,
as you elevate yourself to a whole new level never seen before. The dots are summoning those with a zeal to
achieve and a desire to conquer.
The Ripple Effect
“True charity is the desire to be useful to others with no thought of recompense”- the idea that led to the birth of
this Event. We aim to serve as many as we can with sumptuous items on the menu but with no price ascertained
for each item. Open for one, open for all, one may pay, one may not! The funds raised shall be used to put up
smiles on the faces of innocent orphans.
The Ripple Effect
“True charity is the desire to be useful to others with no thought of recompense”- the idea that led to the birth of
this Event. We aim to serve as many as we can with sumptuous items on the menu but with no price ascertained
for each item. Open for one, open for all, one may pay, one may not! The funds raised shall be used to put up
smiles on the faces of innocent orphans.


```js run demo function readNumber() { let num;
do { num = prompt(“Enter a number please?”, 0); } while ( !isFinite(num) );
if (num === null || num === ’’) return null;
return +num; }
alert(Read: ${readNumber()}
); ```
The solution is a little bit more intricate that it could be because we need to handle null
/empty lines.
So we actually accept the input until it is a “regular number”. Both null
(cancel) and empty line also fit that condition, because in numeric form they are 0
.
After we stopped, we need to treat null
and empty line specially (return null
), because converting them to a number would return 0
.


| Alpha | Beta | Gamma | |
|---|---|---|---|
| Dist. | Logn(8.35e-7,1.3) | Nort(1.2,1.2,0.5,1.5) | Delta(0) |
| Median | 8.2e-07 | 0.99 | |
| F | 1.3 | 1.3 | |
| Refs | [Florescu2006,Gougousi1997,Lehfaoui1997,McLain2004] | [Florescu2006,Gougousi1997,Lehfaoui1997,McLain2004] |
| (Top) Histograms of the samples rate parameters; (Bottom) Samples of the T[Te]-dependent rate curves |
|---|
| Probabilistic tree of branching ratios |
|---|
| Branching ratios sample |
|---|
Florescu-Mitchell A and Mitchell J (2006). “Dissociative recombination.” Physics Reports, 430(5-6), pp. 277–374. http://www.sciencedirect.com/science/article/B6TVP-4KBVV57-1/2/54ad8715e30ab7abd90a5344e2981c2c.
Geppert W, Ehlerding A, Hellberg F, Kalhori S, Thomas RD, Novotny O, Arnold ST, Miller TM, Viggiano AA and Larsson M (2004). “First Observation of Four-Body Breakup in Electron Recombination: C$_2$D$_5^+$.” Phys. Rev. Lett., 93(15), pp. 153201–. http://link.aps.org/abstract/PRL/v93/e153201.
Gougousi T, Golde M and Johnsen R (1997). “Electron-ion recombination rate coefficient measurements in a flowing afterglow plasma.” Chemical Physics Letters, 265, pp. 399–403. http://www.sciencedirect.com/science/article/B6TFN-3S9DMHK-M/2/d3d0832b91a8f1ee0914e9ca1335db0f.
Lehfaoui L, Rebrion-Rowe C, Laube S, Mitchell J and Rowe B (1997). “The dissociative recombination of hydrocarbon ions. I. Light alkanes.” J. Chem. Phys., 106, pp. 5406–5412. http://link.aip.org/link/?JCP/106/5406/1.
McLain J, Poterya V, Molek C, Babcock L and Adams N (2004). “Flowing Afterglow Studies of the Temperature Dependencies for Dissociative Recombination of O$_2$$^+$, CH$_5$$^+$, C$_2$H$_5$$^+$, and C$_6$H$_7$$^+$ with Electrons.” J. Phys. Chem. A, 108, pp. 6704–6708. http://pubs3.acs.org/acs/journals/doilookup?in_doi=10.1021/jp040215l.


{% extends "main/base.html"%} {% block content %} {% load static %}
Welcome,Chessao is a combination of Chess and Mao.


About me
Studying at Simon Fraser University
Engaged, creative computer science student. Seeking to leverage exemplary communication skills, analytical skills, and coding skills .
Inquisitive, energetic computer science specialist skilled in representing, with a strong foundation in math, logic, and cross-platform coding.


Working with Overlays¶
Creating overlays involves using traditional hardware design methods. This document will describe how overlays can be integrated into Pynq by FPGA/Zynq designers, but will not cover the hardware design process.
While FPGA fabric can be customized to very specific and optimized implementations, a high level of expertise is required to do this, and is much more time consuming than creating software.
One of the key concepts of Pynq Overlays, is that the Overlay should be designed to be flexible rather than highly customized. Flexibility allows an overlay to be used for many different applications, even if this results in a less optimal hardware implementation.
For example, it is recommended that IOPs are used for Pmod interfaces to make the overlay as widely applicable as possible, even where the designer intends to use a specific peripheral for a particular application. This may result in a design that uses more FPGA resources than is necessary, but the flexibility of the overlay is of higher value than the overhead of the additional resources used.
Existing Overlays¶
One overlay is currently included in the Pynq repository; base:
<GitHub repository>/Pynq-Z1/vivado/base
A makefile exists in each folder that can be used to rebuild the Vivado project and generate the bitstream for the overlay. However, the overlay has been precompiled, and is available in <GitHub Repository>/Pynq-Z1/bitstream/
.
A full Vivado installation is required to design and build overlays. Building an existing overlay design allows the project to be opened in Vivado and examined, or modified to create a new overlay.
Loading Overlays¶
The FPGA fabric can be dynamically reconfigured with new overlays as the system is running. This allows Pynq to swap in and out different overlays to support different functionality required by software (Python) applications.
Loading overlays can be done in Python using the Overlay class, which is part of the Pynq package:
<GitHub Repository>/python/pynq/pl.py
The Bitstream can then be downloaded from Python:
from pynq import Overlay
Overlay("base.bit").download()
Using new overlays with MMIO¶
Once a new overlay has been created, the overlay needs to be integrated into the Pynq environment. It is recommended to use an existing Vivado Overlay project as a starting point for a new overlay. This will ensure the settings for the Zynq PS, and the existing PS/PL interfaces are used in the new project.
As with any application running on Zynq, the interface between the software and hardware is via the Zynq memory map.
To find the addressable IPs of a specific overlay (e.g. base.bit), users can do:
from pynq import Overlay
Overlay("base.bit").ip_dict
This will show the IP dictionary of the overlay. Each entry in this IP dictionary is a key-value pair. For example, an entry can be:
'SEG_mb_bram_ctrl_1_Mem0': ['0x40000000', '0x10000', None]
The key of the entry is the IP instance name; all the IP instance names are parsed from the *.tcl file (e.g. base.tcl) in the address segment section. The value of the entry is a list of 3 items:
- The first item shows the base address of the addressable IP (hex).
- The second item shows the address range in bytes (hex).
- The third item records the state associated with the IP. It is None by default, but can be used flexibly by the users.
Similarly, to find the addressable IPs currently on the programmable logic, users can do:
from pynq import PL
PL.ip_dict
To help ease the effort to communicate between the ARM processor and programmable logic, Pynq includes the MMIO Python class. Once the overlay has been created, and the memory map is known, the MMIO can be used to read/write from/to memory mapped locations in the FPGA fabric.
The Python code for the MMIO can be viewed here:
<GitHub Repository>/python/pynq/mmio.py
Continuing the example shown above, we show a use case where the MMIO class can access an area of 0x10000 bytes in the FPFA fabric, starting at address 0x40000000 (SEG_mb_bram_ctrl_1_Mem0):
from pynq import MMIO
# an IP is located at 0x40000000
myip = MMIO(0x40000000,0x10000)
# Read from the IP at offset 0
myip.read(0)
In the example above, any accesses outside the address range 0x10000 (65535 bytes) will cause an error. When creating the python driver for a new hardware function, the MMIO can be wrapped inside a Python module.
New overlay example¶
An example notebook overlay_integration.ipynb
is available in the Examples folder, showing how to write Python to interface to an overlay.
Using new overlays with GPIO¶
GPIO between the Zynq PS and PL can be used by Python code as a control interface to overlays. The information about a GPIO is kept in the GPIO dictionary of an overlay.
The following code can be used to get the dictionary for a bitstream:
from pynq import Overlay
ol = Overlay("base.bit")
ol.gpio_dict
A GPIO dictionary entry is a key, value pair, where value is a list of two items. An example of the entry in a GPIO dictionary:
'mb_1_reset/Din': [0, None]
The key is the GPIO instance name (mb_1_reset/Din). GPIO instance names are read and parsed from the Vivado *.tcl file (e.g. base.tcl).
The value is a list of 2 items:
- The first item shows the index of the GPIO (0).
- The second item (None) shows the state of the GPIO. It is None by default, but can be user defined.
The following code can be used to get the dictionary for GPIO currently in the FPGA fabric:
from pynq import PL
pl = PL
pl.gpio_dict


After downloading files under under
using file path in downloads or QR code scan in down below
QR code is more in conferent in uploading the file s to mobile device
V2rayNG Mobile application
this is the main bar ofv2rayNG application in for use to run our configurations for fast setup in your device mobile connections settings
QR code
Qr code scan
for scan use menu bar in left corner in import section camera will prop up and scan the code
QR code is more fast setup
To connect to internet
for after all above steps connect using the connection tab in bottom left corner green button props color


This is a technique used in design to aid in placing content onto a page. It is achieved by forming a grid that sets rows and columns for the content to go into. Grids helps establish spacing and hierarchy.
The hype is around making the internet accessible from every device. The term responsive means that you can create rules that tell the webpage to change based on what size screen you are using.
Semantic structure describes the language used when using tags and elements in HTML and CSS. A semantic tag is able to tell the user what it does without giving detailed description, since it's universal.
Getting into the workflow and mindset of a developer has been teaching me about how to approach new projects and pages. Being able to focus on the function first before going back and fine tuning results is starting to become a good habit for me.
<


Features in release 1.8
Switching to HTTPS based protocols for secure communication
Performance and Stability improvements
Age appropriate ads
Support for Notification Channels
Features in release 1.5
Bug Fixes and performance improvements
Using latest Google Services
Features in release 1.11
Removed unnecessary permissions required by old version of Google services
Features in release 1.10
Bug fixes and performance enhancements


Regularized Greedy Forest wrapper of the 'Regularized Greedy Forest' <https://github.com/RGF-team/rgf/tree/master/python-package> 'python' package, which also includes a Multi-core implementation (FastRGF) <https://github.com/RGF-team/rgf/tree/master/FastRGF>.
| Version: | 1.0.5 |
| Depends: | R (≥ 3.2.0) |
| Imports: | reticulate, R6, Matrix |
| Suggests: | testthat, covr, knitr, rmarkdown |
| Published: | 2018-09-23 |
| Author: | Lampros Mouselimis [aut, cre], Ryosuke Fukatani [cph] (Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm), Nikita Titov [cph] (Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm), Tong Zhang [cph] (Author of the 'Regularized Greedy Forest' and of the Multi-core implementation of Regularized Greedy Forest machine learning algorithm), Rie Johnson [cph] (Author of the 'Regularized Greedy Forest' machine learning algorithm) |
| Maintainer: | Lampros Mouselimis <mouselimislampros at gmail.com> |
| BugReports: | https://github.com/RGF-team/rgf/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/RGF-team/rgf/tree/master/R-package |
| NeedsCompilation: | no |
| SystemRequirements: | Python (2.7 or >= 3.4), rgf_python, scikit-learn (>= 0.18.0), scipy, numpy. Detailed installation instructions for each operating system can be found in the README file. |
| Materials: | README NEWS |
| CRAN checks: | RGF results |
| Reference manual: | RGF.pdf |
| Vignettes: |
Regularized Greedy Forest in R |
| Package source: | RGF_1.0.5.tar.gz |
| Windows binaries: | r-devel: RGF_1.0.5.zip, r-release: RGF_1.0.5.zip, r-oldrel: RGF_1.0.5.zip |
| OS X binaries: | r-release: RGF_1.0.5.tgz, r-oldrel: RGF_1.0.5.tgz |
| Old sources: | RGF archive |
Please use the canonical form https://CRAN.R-project.org/package=RGF to link to this page.


{% extends "base.html"%}
{%block body%}
Once you push changes to Github, OnToology will do the below for each changed ontology
The configuation file is per ontology (a repository can has multiple ontologies). It will be created automatically if it does not exist. It is used to enable/disable the generation of documentation, diagrams and/or evaluation.The configuration file has three sections, "widoco", "ar2dtool" and "oops", for documentation, diagrams and evaluation, respectivly. Each of the sections has a key called "enable" and can has the values "true" or "false".
A sample configuration file
It generates documentation, diagrams and evaluation report for your ontologies. It also creates an issue in Github with evaluation summary.Once you register your repository OnToology will track your ontologies (in the registered repository) for changes. Whenever a change in an ontology is pushed, OnToology will generate documentation, diagrams and evaluation report for the changed ontologies. After that, OnToology will create a pull request with the generated files. You can enable/disable documentation, visualization or/and evaluation via a configuration file.
OnToology will create a folder named "OnToology" in the top level. Inside this folder, in will create the same structure of the repository. Inside the folder that is named after ontology file, there will be three folders, "documentation", "diagrams" and "evaluation". There will be configuration file "OnToology.cfg" beside these folders.
An example of a repository before OnToology is triggered
After OnToology is triggered
OnToology will ask for permission depends on the added repository, if the added repository is public, then it will ask permission to access public info, and if the added reposity is private, then it will ask permission to access private information. Also note that OnToology does not store/keep access tokens, it askes permission from GitHub everytime.


--- layout: post esbma_id: 1480 date: 2003-09-27 12:00:00 keywords: cornsharp title: 18 ---
About a week ago the hard drive in my ThinkPad died. I spent most of the week trying to get back online, in awe of how impaired my life is without technology.
Last Monday morning I ordered a new hard drive from IBM. It was in stock, so I paid for overnight shipping and expected it to see it by 10:30am the next day. Tuesday morning came, and the hard drive didn't show up. Shockingly, they didn't ship on the same day I ordered. Once I calmed down I decided not to sue IBM over this incident, although obviously my lawsuit would be more justified than SCO's.
On the bright side, I used the downtime to clean my office. It was really a mess. I unpacked some boxes which had been unopened for around ten years. I filled most of a dumpster with junk I can't believe I ever thought I needed. My office is totally different now. It's like having new office space.
Today's trivia question: Not counting the one I use regularly, guess how many coffee cups I found when I cleaned out my office? ;-)


Submit Your Cryptid Sighting
Fill out the form below and click "Enter" to Submit
CRYPTID SIGHTING DATA
Date of Sighting:
Creature Type:
Chupacabras
Jersey Devil
Loch Ness Monster
Sasquatch
Yeti
Other
Distance from Creature (in ft.):
Creature Weight (in lbs.):
Creature Height (in ft.)::
Color of Creature (Use the color sliders to enter):
Color (in hexadecimal):
Red:
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CRYPTID LOCATION DATA
Latitude of Sighting:
Longitude of Sighting:
Submit


A number of recent changes has taken place to have greater control over emoncms logfiles, including being able to specify different levels of logging from within the emoncms settings.php, and now for emonbase users, the logfile location has been moved from the emoncms installation directory to /var/log/
The reasons for this are;
- /var/log is the established location for logfiles, and where people expect them to be
- Logrotate will then be able to manage the emoncms log, rotating, and limiting it's size
- In low-write mode, /var/log is placed into tmpfs (RAM) and therefore emoncms logging can continue to run without disk-writes
Following a git pull,the implications for emonbase users are; (does not apply to emonPi - as emonPi already uses /var/log for it's logfile)
Existing Installations (not in low-write mode)
Emoncms is unable to create a logfile, only write to one, therefore it's necessary to create the logfile and set it's permissions in it's new location - just like what was done during the initial installation:
touch /var/log/emoncms.log chmod 666 /var/log/emoncms.log
Emoncms will then commence logging at /var/log/emoncms.log and be managed by Logrotate.
Existing Installations in low-write mode (Raspberry Pi's)
Following a git update, it will be necessary to run an update script, to make a number of required changes:
cd /var/www/emoncms/scripts/logger/ && sudo chmod +x install.sh sudo ./install.sh
A more detailed explanation of what changes the script makes can be found here.
New Installations
The Raspberry Pi low-write guide has been updated to reflect these changes.
Feedback as always appreciated.
Paul
Re: Logfile - change of location
since i'm using windows i have no /var/log so i'm just mentioning the previous value that was in settings.php to make the log save inside emoncms installation folder in case anyone not running linux needs it. It was $log_filename = dirname(__FILE__).'/' . 'emoncms.log';
i have not tried it yet, but i do wonder where the log file would be saved if i just wrote $log_filename = 'emoncms.log'; will check it out once i update.
also i'm guessing logrotate is to make sure the log file size doesn't explode and i'm wondering if logrotate is not used (since i'm on windows) would the log file keep growing ? currently mine is 85 MB but i can't remember if there is / was something inside the php files code that would delete the log file if it had grown over a certain size.
Re: Logfile - change of location
Good point about the /var/log location in Windows, that needs to be covered within the Windows installation guide.
Regarding the logfile size - yes there is a 250mb limit set in Lib/Emonlogger.php but that is far too high when the logs are placed in tmpfs (low write), as only 30mb is allocated for the entire /var/log tmpfs directory to preserve RAM.
Logrotate really only applies to Raspberry Pi installations, its not enforced in code, and unless you are directing your logfiles to tmpfs, it will use whatever Log Management System is installed by your OS by default.
In Windows, I doubt that you will notice any changes, other than the change of logfile location.
Paul
Re: Logfile - change of location
Paul - I am not sure if this is related, but I get this error when running an emonPi Update.
I tried rebooting the emonPi but got the same error.
Emoncms Version low-write 9.2 | 2015.12.11
emonPi formware 2.0
Re: Logfile - change of location
Jon, emonpi's should obtain their updates via the 'stable' branch, which has not been merged with development (master) yet. Also, these changes will not affect the emonpi's as they already write their logs to /var/log so these changes are really aligning the 'emonbase' logging to how 'emonpi's' already operate. So no, yours will be a separate issue, probably needing it's own thread. Paul
Re: Logfile - change of location
Thank you Paul!
moved to new thread - emonPi Update error for emoncms (git pull /var/www/emoncms) http://openenergymonitor.org/emon/node/11926
Jon
Re: Logfile - change of location
Hi Paul,
Thanks a lot for packaging this up in a tidy way. I'm planning one more iteration on the new image before launch. I'll merge in these changes so the emonPi image setup will be inline with your RasPi Emoncms install notes.
Re: Logfile - change of location
Just tried with the new logfile, after running ./install.sh something seems to have gone wrong, my log file consists of:
pi@emonpi:/var/log$ cat emoncms.log
2016-01-04 18:15:30.649|INFO|feedwriter.php|Starting feedwriter script
2016-01-04 18:15:30.791|INFO|feed_model.php|EngineClass() Autoloaded new instance of 'RedisBuffer'.
2016-01-04 18:15:41.729|INFO|feed_model.php|EngineClass() Autoloaded new instance of 'PHPFina'.
2016-01-04 18:15:41.760|INFO|PHPFina.php|lastvalue() 1
2016-01-04 18:15:41.777|INFO|PHPFina.php|lastvalue() 2
2016-01-04 18:15:41.788|INFO|PHPFina.php|lastvalue() 3
2016-01-04 18:15:41.798|INFO|PHPFina.php|lastvalue() 4
2016-01-04 18:15:41.807|INFO|PHPFina.php|lastvalue() 5
2016-01-04 18:15:41.816|INFO|PHPFina.php|lastvalue() 6
2016-01-04 18:15:41.824|INFO|PHPFina.php|lastvalue() 7
2016-01-04 18:15:41.834|INFO|PHPFina.php|lastvalue() 8
2016-01-04 18:15:41.843|INFO|PHPFina.php|lastvalue() 9
2016-01-04 18:15:41.852|INFO|PHPFina.php|lastvalue() 10
2016-01-04 18:15:41.860|INFO|PHPFina.php|lastvalue() 11
2016-01-04 18:15:41.877|INFO|PHPFina.php|lastvalue() 12
2016-01-04 18:15:41.886|INFO|PHPFina.php|lastvalue() 23
2016-01-04 18:15:41.892|INFO|PHPFina.php|lastvalue() 24
2016-01-04 18:15:41.899|INFO|PHPFina.php|lastvalue() 25
2016-01-04 18:15:41.907|INFO|PHPFina.php|lastvalue() 26
2016-01-04 18:15:41.917|INFO|PHPFina.php|lastvalue() 27
Have I missed something?
Re: Logfile - change of location
That's strange, it must be something unique to the emonpi configuration...
Following a reboot on a new emonbase installation running Jessie, I get;
pi@ejessy:~ $ cat /var/log/emoncms.log
2016-01-04 18:34:11.646|INFO|feed_model.php|insert_data() feedid=2 updatetime=1451932436 feedtime=1451932436 value=411 arg=
2016-01-04 18:34:12.183|INFO|feed_model.php|EngineClass() Autoloaded new instance of 'RedisBuffer'.
2016-01-04 18:34:12.206|INFO|feed_model.php|insert_data() feedid=3 updatetime=1451932436 feedtime=1451932436 value=0 arg=
2016-01-04 18:34:12.224|INFO|feed_model.php|insert_data() feedid=4 updatetime=1451932436 feedtime=1451932436 value=0 arg=
2016-01-04 18:34:12.263|INFO|feed_model.php|insert_data() feedid=5 updatetime=1451932436 feedtime=1451932436 value=24179 arg=
2016-01-04 18:34:12.283|INFO|feed_model.php|insert_data() feedid=6 updatetime=1451932436 feedtime=1451932436 value=1250 arg=
2016-01-04 18:34:14.995|INFO|feed_model.php|insert_data() feedid=9 updatetime=1451932454 feedtime=1451932454 value=184 arg=
...and again following a reboot of another pi emonbase running Wheezy:
pi@raspberrypi ~ $ cat /var/log/emoncms.log
2016-01-04 18:41:40.161|INFO|feed_model.php|insert_data() feedid=13 updatetime=1451932899 feedtime=1451932899 value=332 arg=
2016-01-04 18:41:38.986|INFO|phpmqtt_input.php|Starting MQTT Input script
2016-01-04 18:41:40.426|INFO|feed_model.php|EngineClass() Autoloaded new instance of 'PHPFiwa'.
2016-01-04 18:41:40.427|INFO|PHPFiwa.php|PHPFiwa:post id=13 timestamp=1451932899 value=332
2016-01-04 18:41:40.633|INFO|feed_model.php|insert_data() feedid=14 updatetime=1451932899 feedtime=1451932899 value=332 arg=
2016-01-04 18:41:40.638|INFO|PHPFiwa.php|PHPFiwa:post id=14 timestamp=1451932899 value=332
2016-01-04 18:41:40.658|INFO|feed_model.php|insert_data() feedid=33 updatetime=1451932900 feedtime=1451932900 value=0 arg=
2016-01-04 18:41:40.681|INFO|feed_model.php|EngineClass() Autoloaded new instance of 'PHPFiwa'.
2016-01-04 18:41:40.682|INFO|PHPFiwa.php|PHPFiwa:post id=33 timestamp=1451932900 value=0
Re: Logfile - change of location
I am running a Wheezy configuration and noticed INFO msgs like the following are now appearing in my emoncms.log. Why am I getting these? Is there a possible problem?
2016-01-09 14:18:12.624|INFO|process_processlist.php|power_to_kwhd() feedid=61 last_kwh=0.0016374155555564 kwh_inc=4.5E-7 new_kwh=0.0016378655555564 last_slot=1452315600 current_slot=1452315600
2016-01-09 14:18:12.688|INFO|feed_model.php|insert_data() feedid=67 updatetime=1452349092 feedtime=1452349092 value=1 arg=
2016-01-09 14:19:12.689|INFO|feed_model.php|insert_data() feedid=60 updatetime=1452349152 feedtime=1452349152 value=0.018 arg=
Re: Logfile - change of location
When did you last update?
I merged a fix a few days ago which sorts the issue.
If you update, you can then set your preferred logging level in settings.php (default is WARN).
Paul
Re: Logfile - change of location
Hi Paul, I just updated about 12 hrs ago so I have your latest commit. But I still don't understand the meaning of the msgs.
Re: Logfile - change of location
The messages are just what emoncms is doing under the hood. It's showing you what emoncms is doing with the data inputs, and calculating your daily values.
Im not at home now so can't check, but if you git pull, does it say that you are up to date - nothing to do?
Re: Logfile - change of location
Paul, I rebooted and I am not getting the messages anymore (with $log_enabled = true, and $log_level = 2). On git pull, I get "Already up-to-date." Everything appears to be OK for now.


My Team
Mick
Manager
ID: 4
Email:
<EMAIL_ADDRESS>Office Number: 111
John
Engineer
ID: 1
Email:
<EMAIL_ADDRESS>GitHub:
john.john
,
alex
Engineer
ID: 2
Email:
<EMAIL_ADDRESS>GitHub:
alex.alex
Ron
Intern
ID: 3
Email:
<EMAIL_ADDRESS>School: Columbia


Sena-NCP-Congress Stake Claim To Form Govt In Maharashtra; Submit Letter At Raj Bhavan Saying Fadnavis Lacks Majority
by Swarajya StaffIn a pre-emptive move to avoid another spell of President's Rule, the Shiv Sena-Nationalist Congress Party-Congress' proposed 'Maha Vikas Aghadi' on Monday (25 November) staked its claim to form the government in the state, a party office-bearer said.
"Delegations of the three parties with their respective leaders at Raj Bhavan to register our claim to form the government in the future as the present government in the state is definitely going to fall," Nationalist Congress Party (NCP) national spokesperson Nawab Malik told IANS.
On similar lines, Congress state spokesperson said that the state must not get President's Rule again and the ‘Maha Vikas Aghadi’ should be given the chance to form the government.
Malik added that the delegations have submitted support letters of a total 160 MLAs of the three parties to the Governor's office.
Interestingly, the Bharatiya Janata Party has also claimed the support of over 170 MLAs on their side including its own 105, besides others from the NCP, independents and smaller parties.
The move came barely an hour before the Supreme Court hearing filed by the three parties on the circumstances leading to the swearing-in of BJP leader Devendra Fadnavis as Chief Minister and Ajit Pawar as Deputy CM early on Saturday by Governor B S Koshyari.
(With inputs from IANS)


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GLITTER A film review by Annette Cardwell Copyright 2001 filmcritic.com
After enduring Mariah Carey's film debut, Glitter, I'm reminded of a bit from Chris Rock's Bigger and Blacker. In response to women saying that they can raise a child without a man, Rock says, "You can drive a car with your feet, but that don't mean it should be done." To that I say, you can give Mariah Carey a movie, but that certainly don't mean it should be done.
Sure, there are plenty of pop star film vehicles out there -- from The Beatles' A Hard Day's Night to the Spice Girls' Spice World -- but none have been so vapidly pointless or laughable as Glitter.
Start off with the story, which -- as gruesomely predictable as it is -- is the least offensive part of the movie. The film is inexplicably set in the 80s, a period piece that really shows no sign of its period except for a few chicks in leg warmers. Worse yet, everyone's speaking late 90s hip-hop slang in what should be 1983. Meant to be partially autobiographical, Carey plays Billie Frank, a young singer in New York who struggles to overcome a rough childhood and abandonment by her alcoholic mother. Influential club DJ Julian Dice, a.k.a. "Lucky 7" (Max Beesley playing a bad mix of Puff Daddy and Robert De Niro), hears her sing on a track, and decides to make her a star. In predictably rapid succession, Billie and Dice fall for each other, she starts hitting it big, Dice gets jealous and starts acting like an ass, and suddenly Billie's on "the roller coaster of superstardom." In the meantime, Billie is on an emotional hunt for her missing mom. I won't give away the ending, but -- honestly -- just think of unicorns and rainbows... you'll figure it out.
The movie screams to be made with camp, and that could've been fun. But the filmmakers thought making the bulk of Glitter weepy and dramatic would be better. What a mistake. The brief attempts at comic relief -- as in a scene where an effeminate Russian-sounding director gets wacky with filming Billie's first music video -- go over like lead balloons. Instead, the audience at my screening tended to laugh loudest during Mariah's most dramatic scenes.
Which brings us to the performances, of which there's nothing good that can be said. Mariah is primarily seen with a wide-eyed deer-in-the-headlights look frozen on her face. She actually looks scared during her one love scene.
But you have to wonder if the writing isn't even worse. So much of the dialogue is so hackneyed and watered down for Carey's virginal target audience that it's probably impossible for any actor to pull it off with aplomb. Even the characters couldn't have been written more absurdly. They're all members of a Barbie playset: the important film director who swoons, "Billie, I'd love to put you in a movie I'm making," and the big-time record executive who takes Billie's demo tape and says, "Oh, I'll make sure the whole team listens to it in the morning." Everyone in the film is a device, and it's painful to keep watching just to see another one appear.
To say more would be a waste. There's so much wrong with this film. And, it pains me that Mariah Carey -- with her ego and sanity in such fragile condition these days, as evidenced by her multiple hospital stays -- will have to suffer through all the negative reviews she's likely to get.
But, then again, I had to suffer through her movie.

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