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Reach more of your followers, grow your post engagements, learn new and exciting ways to communicate your ideas.
Social Media Minded was started by digital influencer Ross Everett who started working in digital media in 2007. He joined Maker Studios in 2010 helping them grow their channels The Station and The Station 2 along with many individual creator channels.
Ross worked with NBC and Ford on the digitally interactive reality show Escape Routes bringing television and Internet viewers together to create an immersive branded experience.
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Ross joined the team at SourceFed and SourceFed Nerd where he wrote, produced, and hosted Streamy Award winning content for over 1.5 Million Subscribers. He has since worked with Revision 3 and Discovery Digital Networks creating original shows and YouTube channels as well as many other digital platforms for their IP.
With expertise from both the creator and the brand side of the digital industry, Social Media Minded has a unique perspective and advantage towards helping create authentic and effective content online.


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Dez Bryant Blasts Colin Kaepernick For Starting Movement After He Got Benched (TWEETS)
by Darrelle LincolnDez Bryant had something on his mind on Tuesday, so he took to Twitter to get some answers.
The free agent wide receiver posted a long rant to Colin Kaepernick that asked him numerous questions about what his next step was as far as actions after he started kneeling during the Anthem in 2016. He also wanted to know why he wanted to get back into a league that does not agree with his views and how him getting a job will change anything.
From there, he began responding to fans, one of which is where he called Kaepernick out for essentially not doing anything when he was going to the NFC Title game and Super Bowl, but did so once he lost his job as a starter.
He kept going:
Kaepernick’s final season in the league had him putting up 18 total touchdowns and four interceptions in 11 games played. The narrative that he got benched for Blaine Gabbert has already been debunked, but the lie continues to live on, as you can tell by Bryant’s rant.
I’m not sure what Bryant was trying to do here, but it certainly missed the mark. A simple check of Kaepernick’s ‘Know Your Rights’ camp would answer all his questions that he presented on Twitter.


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[Gecode] Found problem with dynamic linking on Windows and gcc
Guido Tack
tack at ps.uni-sb.de
Tue May 18 16:21:48 CEST 2004
On Tuesday 18 May 2004 16:03, Christian Schulte wrote:
> What I can see is that gcc is ABSOLUTELY INCAPABLE of building DLLs under
> Windows. Let's just forget about it. Not to bad after MSVC is freely
> available.
Still VERY annoying. That makes it e.g. a little inconvenient to build the
Alice binding for Windows...
> On the other hand even static linking with autoconf shows the same problem.
> What's going on there?
You mean the problem doesn't show up if you build static libs with your
makefiles? Then I'd really have to look at it. Might have something to do
with libtool, don't know...
--
Guido Tack
Programming Systems Lab
http://www.ps.uni-sb.de/~tack
More information about the gecode-users
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Basic online safety skills can go a long way towards protecting your online identity. Select from one of the following courses to start learning today!
{{module.description}}
Basic online safety skills can go a long way towards protecting your online identity. Select from one of the following courses to start learning today!
{{module.description}}


This class represents a simple WiFi scan of beacons in a given time,
with: time, ID, Pos, #of wifi beacons,
WiFi_Scan(String) - Constructor for class WiFi_data.WiFi_Scan
WiFi_Scan(String, String, Point3D) - Constructor for class WiFi_data.WiFi_Scan
WiFi_Scan_approx_location - Class in Algorithms
This class represents a simple weighted finger printing algorithm for WiFi position - as part
of OOP course - Ariel University 2017-2018.
WiFi_Scan_approx_location() - Constructor for class Algorithms.WiFi_Scan_approx_location
WiFi_Scan_approx_locationTest - Class in Tests
WiFi_Scan_approx_locationTest() - Constructor for class Tests.WiFi_Scan_approx_locationTest
WiFi_Scan_Comparator - Class in WiFi_data
This class represents a simple WiFi_Scan comparator - based on time (with a String representation)
WiFi_Scan_Comparator() - Constructor for class WiFi_data.WiFi_Scan_Comparator
WiFi_Scans - Class in WiFi_data
This class represents a container of WiFi_Scan sorted by time & device.
WiFi_Scans() - Constructor for class WiFi_data.WiFi_Scans
WiFi_Scans(String) - Constructor for class WiFi_data.WiFi_Scans
WiFi_ScansTest - Class in Tests
WiFi_ScansTest() - Constructor for class Tests.WiFi_ScansTest
WiFi_ScanTest - Class in Tests
WiFi_ScanTest() - Constructor for class Tests.WiFi_ScanTest
Wighted_Point3D - Class in Tools
This class represents a point3D - with weight.
Wighted_Point3D(double, double, double, double) - Constructor for class Tools.Wighted_Point3D
Wighted_Point3D(double, double, double) - Constructor for class Tools.Wighted_Point3D
Wighted_Point3D(Point3D, double) - Constructor for class Tools.Wighted_Point3D
Wighted_Point3D(Point3D) - Constructor for class Tools.Wighted_Point3D
WP_COMP - Static variable in class Tools.Wighted_Point3D
A B C D E F G I L M N O P R S T U W X Y Z


Works great for text, especially headers, block quotes, and anywhere there's large display type. Paragraphs like this one may not be ideal. But it's totally your call!
Try resizing your browser…
Make your hero sections look out of this world.  In reality, you just added this script.
Milton Glaser
World renowned designer


Image 59-AE2-F77-A82-A-4-F57-97-C5-64-ED8584-ADB5 hosted in imgbb.com
Dont eat me
Tek19-Jun-19 09:13 PM
tbh if someone offered me a piece of cat i'd try it
just once
Bittersweet19-Jun-19 09:14 PM
what about your own carnivore rule
you are truly a man of principle
Tek19-Jun-19 09:14 PM
the carnivore rule is one to make sure you don't get hookworm or whatever its called, they are in flesh of carnivoreous/omniovorous animals only
so eating plant eaters is perfectly safe
𝙊𝙊𝙊𝙊19-Jun-19 09:15 PM
@Deleted User You know what action you have to take if your mother-in-law knocks on the glass, don't you?(edited)
Tek19-Jun-19 09:15 PM
the worm i was thinkin about is Trichinella larvae in pressed bear meat, partially digested with pepsin. The classic coil shape is visible. Trichinosis is a parasitic disease caused by roundworms of the Trichinella type. ...


Did Nothing for Me Yet Worked for My Friends...
This report is merely a warning, or rather an experience very different from any Iíve read thus far, so Iíll try to keep it short and sweet.
Me and my friend recently purchased some mephedrone online to give it a try while it was still mostly legal. We started off by divvying it into a little over 100 mg piles that we both proceeded to swallow. Within an hour or so my friend began to feel effects such as mild euphoria, heart pounding, alertness, increase in mood, talkativeness, jaw clenching and a somewhat uncontrollable twitching. All in all for my friend this was quite a positive experience. I, however, felt nothing more than a caffeine-like alertness but even then itís likely that was placebo. Generally speaking, even as time progressed, the drug worked fine for my friend but did literally nothing for me at all. I was pretty astonished because I am not really a heavy or frequent drug user at all, so itís not like I could have some sort of strange tolerance or whatnot. The doses were basically identical and they were from the same batch. It just made no sense.
I tried to think of any variables that could possibly have affected this result. I had used 200 mg of modifinil the night before for some studying but the effects had long worn off. I was somewhat sleep deprived and I had a slight cold starting to set in. With that in mind, I decided to test it one last time in a control scenario by tonight taking 250 mg of the mephedrone and again, pretty much nothing. Maybe 90 minutes or so in I suppose I was more awake/alert but nothing that couldnít be out of the ordinary. Overall the drug did basically nothing to me for some mysterious reason despite working fine for my friends. It just goes to show how true it is that peopleís bodies all react different to drugs and in this case I was seemingly (and somewhat irritatingly) immune to this one.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/simp.20lemma.20for.20subtype.2Eproperty.html ---
Should this be a simp lemma in mathlib?
import data.subtype universe u @[simp] lemma val_prop {X : Type u} {S : set X} (x : {x // x ∈ S}) : x.val ∈ S := x.property
I'm not sure if it will work right as a simp lemma, but you are welcome to try
I would prefer this:
import data.set.basic universe u @[simp] lemma val_prop {X : Type u} {S : set X} (x : S) : ↑x ∈ S := x.property
I'm guessing that the unfolding of x : S
was performed by dsimp
the simp lemma should be something that is in simp normal form already
only if you do dsimp *
how about we include both S
and {x // x in S}
is x.val
in simp normal form or \u x
?
I think they are both valid
so we have 4 versions!
I don't think S
vs {x // x in S}
affects simp applicability
you're right
so 2 versions
I've succesfully applied the current version in the perfectoid project. I'll prepare a PR that adds both versions to data/subtype
.
Last updated: Apr 24 2020 at 19:02 UTC


We can add configuration when creating TensorSpace Layer. There are two types of parameters. The first type
of parameters are network related parameters, this kind of parameters
are related to neural network structure, such as kernelSize, filters, strides for Conv2d, units for Dense,
and so on. The second type of parameters are visualization related parameters, this kind of parameters are related
to 3D visualization, such as initStatus, animeTime, and so on.
In different circumstances, configure TensorSpace Layer in different ways:
Init with a pre-trained model
If TensorSpace model init with a pre-trained model, for example, load a preprocessed TensorFlow model, we
just need to configure some optional visualization related parameters for TensorSpace Layer. There is no need to configure network related parameters, as TensorSpace Model
will automatically inject layer metrics based on pre-trained model in initialization process.
For example, to configure LeNet Layers with a pre-trained model:
let model = new TSP.models.Sequential( container );
model.add( new TSP.layers.GreyscaleInput() );
model.add( new TSP.layers.Padding2d() );
model.add( new TSP.layers.Conv2d({
initStatus: "open"
}) );
model.add( new TSP.layers.Pooling2d() );
model.add( new TSP.layers.Conv2d() );
model.add( new TSP.layers.Pooling2d() );
model.add( new TSP.layers.Dense() );
model.add( new TSP.layers.Dense() );
model.add( new TSP.layers.Output1d({
outputs: ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"]
}) );
model.load({
type: "tensorflow",
url: "model.json"
});
model.init();
wb_sunnyNote:
If the pre-trained model has dynamical shape, it is required to configure the input shape in TensorSpace Input Layer.
For example, the pre-trained InceptionV3 model from
Keras Application has a dynamically shape, which make it has ability to accept input shape from
[299, 299, 3] to [75, 75, 3]. If you would like to visualize this kinds of models in TensorSpace, it is
required to configure a specific input shape for TensorSpace Input Layer. The input shape configuration
would be like:
model.add( new TSP.layers.RGBInput({
shape: [299, 299, 3]
}) );
Checkout this InceptionV3
TensorSpace visualization example for more information.
Init without a pre-trained model
If TensorSpace model init without a pre-trained model, which will be an empty TensorSpace model, we need to
configure required network related parameters and some optional
visualization parameters.
For example, to configure LeNet Layers without a pre-trained model:
let model = new TSP.models.Sequential( container );
model.add( new TSP.layers.GreyscaleInput({
shape: [28, 28, 1]
}) );
model.add( new TSP.layers.Padding2d({
padding: [2, 2]
}) );
model.add( new TSP.layers.Conv2d({
kernelSize: 5,
filters: 6,
strides: 1,
initStatus: "open"
}) );
model.add( new TSP.layers.Pooling2d({
poolSize: [2, 2],
strides: [2, 2]
}) );
model.add( new TSP.layers.Conv2d({
kernelSize: 5,
filters: 16,
strides: 1
}) );
model.add( new TSP.layers.Pooling2d({
poolSize: [2, 2],
strides: [2, 2]
}) );
model.add( new TSP.layers.Dense({
units: 120
}) );
model.add( new TSP.layers.Dense({
units: 84
}) );
model.add( new TSP.layers.Output1d({
units: 10,
outputs: ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"]
}) );
model.init();


Welcome to my project
Latitude can be precisely determine with current technology. However,
Latitude is not the only factor determining the perfect place to spend vacation.
Many other factors contribute to the weather at a given place.
In this project, we use real data from weather stations in cities of the world to
visualize and compare the influence of latitude on four different elements that a
traveler would be interested in when planning a vacation. The idea is to help the
traveler understand what are the odds of predicting weather conditions based exclusively
on latitude information.
Important Note:
It is also important to
understand that the rotation of the Earth around the sun and the tilt of the Earth's axis
are fundamental aspects of weather prediction. This characteristic of the Earth is responsible
for the seasons observed in Mid-to-High latitudes which in turns interact with the weather
in the tropics to modify local variations in climatic conditions.
According the BBC's Bitesize website, there are four important factors that affect climate at a given time
Here we only look at latitude...


I find it hard not to see this event as an inversion of the story of the three little pigs: here the three of us huff and puff to blow down the house of the big bad wolf. This pig thought he had a clever way to accomplish that. If I could agree entirely with Walter Benn Michaels there would be no remainder that his brilliant dialectics might subsume: his house would stand but have no visitors. But despite my deep admiration for his intricate arguments and my reluctant concessions to his accounts of cultural pluralism and nativist modernism, I cannot agree with the historical dimensions of Michaels's argument. Even if one grants that there is a nativist modernism, I doubt that it had the clear general dominance that Michaels seems to be arguing for most of the time. And, more important, I think his attributing such a single synthetic identity across various cultural domains ignores the various efforts to negotiate complex tensions among value systems that are for me the central, dynamic features of modernity. So I will have to make a few historical claims and then try to explain what I find problematic in the theoretical assumptions that seem to underlie Michaels's argument.
Let me elaborate my complaint about his claims for the dominance of nativist modernism by briefly addressing two issues: first, problems in the scope of his claims and, second, problems in how he deals with the agency of authors in his efforts to establish that scope. On scope, consider the following passage:
The Johnson Act guaranteed that aliens would not become citizens by putting a halt to mass immigration; the Citizenship Act guaranteed that Indians would not become citizens by declaring that they already were citizens. Both acts, that is, participated in a recasting of American citizenship, changing it from a status that could be achieved through one's own actions (immigrating, becoming "civilized," getting "naturalized") to a status that could better be understood as inherited. [OA, 32]
A series of brilliant leaps here establishes a forceful account of how ideas of citizenship changed for some agents. But what about those who were not immigrants, and hence who already experienced citizenship as inherited even (or especially) during ages of heavy immigration? Conversely, what about those immigrants who had received citizenship, or whose children had heard stories about that process? Would they now shift their understanding? And how much in common really is there between the groups of immigrants and American Indians, since they held quite different understandings of what citizenship did and did not afford in economic and cultural terms? Moreover, the very effort to establish commonness on the level of what these pieces of legislation meant for people requires overlooking the economic factors that are central in establishing different experiences of citizenship. 1 So as we pull at the threads of such assertions we find neat equations unravelling into problematic equivocations, and we begin to appreciate how many factors an analysis of general attitudes toward citizenship might have to account for.
Such omissions become more troubling when we turn to Michaels's dealings with specific authors. He is superb in showing how William Carlos Williams and Hart Crane enter into a discourse of nativist modernism quite different from the transnational modernism maintained by exiles like Ezra Pound and T. S. Eliot. But I wonder how much these writers ultimately share with the overall political concerns Michaels foregrounds. If, for example, Williams insists that to be "'Indianlike' the writer must make no likeness to Indians, he must devote himself to 'WRITING'" (OA, 85), then it seems that Williams's nativism is of a distinctly metaphoric kind, more involved with the republic of letters than with actual citizenship. To insist on the politics of his metaphors is not far from calling for a feline modernism on the basis of the analogies Williams draws between cats and the artist's constructive intelligence. Michaels could only be convincing here if he could show that Williams based specific political decisions on identifications with the natives he uses so blithely in his analogies. More important, Michaels argues that texts can "parody but also reproduce" (OA, 26) nativist attitudes, but he does not go on to explore the aspects within the culture that generate the distance necessary for parody. So he can use Jason Compson's speeches as illustrations of William Faulkner's dependency on racialist rhetoric (OA, 9). But in so doing he ignores Faulkner's need to distance himself from anything Compson-like (precisely because the author knows how much he is tempted to such identifications). Faulkner's own stance on race is probably closer to a tragic or Calvinist inversion of progressivist racism that becomes evident in the necessary deaths of Joe Christmas and Charles Bon, as well as of Quentin Compson. Moreover, even if I am wrong about Faulkner's specific beliefs, the gulf between Faulkner and his characters requires us to postulate within modernist culture more than one attitude toward these racial matters so that one can foreground the tensions from which these doublings emerge.
Where conflict and uncertainty should be, Michaels doggedly and brilliantly imposes a single dominant set of beliefs. From my perspective the greatest cost is the resulting picture of modernism. It simply does not suffice to equate modernist styles with the purity of the signifier without also tracing the ways that the artists and painters sought to make this emphasis on syntax carry various versions of semantic force. Think how often Williams speaks of realization and of bearing cultural testimony, and recall the power of his lineation to transform perception into Cézannian realization by embodying the role of mental energies in the emergence of sharp phenomenological detail. Similarly, when Michaels links his claims about purity of the signifier to the ideal of untranslatability, he ignores the degree to which untranslatability functioned within modernism simply as a way of opposing not impurity but discursivity. Indeed, an impure art like collage might provide the best version of untranslatability because of the diversity it forced into conjunction. Finally, we have to recognize the profound impurities that make it misleading to treat the literature of the period in terms of simple dichotomies between native and universal. Much of the energy driving the Harlem Renaissance emerged from the pressure of having to face fundamental conflicts between the ideals of a writing distinctive to race and of a writing that explored cultural resources not available to strict identifications with nativist values. 2 And while Williams insisted on the primacy of the local (often as access to a universal), even his most radical claims about American identity are accompanied by statements about the need to use the kind of singularity that artworks achieve to break down differences and weaken partiality. So when Williams describes, as Michaels puts it, "the success of a poem" as consisting in "its achievement of identity" (OA, 83), he is in entire sympathy with Pound's transnational modernist dreams that the achieved identity of artworks can establish energies then available for diverse cultural groups. 3
Given Michaels's intricate mind, I have to risk being patronizing in order to speculate on what theoretical assumptions underlie his case; then I can try alternative ways of addressing the same concerns, which here I will confine to concepts of identity and of cultural heritage. As long as he is concerned with transnational modernism, Michaels seems to have no problem dealing with fluid identities and allowing claims about culture to do work even though they are not attached to race. But when he turns to the domestic American scene, the standards seem to shift. Here his project of "work[ing] out the meaning of the commitment to identity--linguistic, national, cultural, racial" (OA, 3)--common to both the social and the aesthetic models of nativist modernism depends on Michaels showing that such commitments are inherently flawed by a version of what Kenneth Burke called "the paradox of substance." 4 There is a basic contradiction "between being something and trying to be the thing one is" (OA, 90), so that concepts of racial and cultural identity compose a slippery circuit in which each supplements and empties the other. Problematic notions of identity then seem inseparable from problematic notions of cultural heritage: "For racial identity to become a project, it must turn to culture; for cultural identity to become a project it must turn to race" (OA, 122; for fuller statement see 14-15).
In short, such identity-commitments lead to the dead end of contemporary cultural pluralism. But are these the only ways to think about identity--either as a basic practical concern or as a specific theme in modernist thinking? If we are to have a less thematizable history and a more intricate sense of how agents encounter and deal with cultural pressures, we have to explore both historical and theoretical ways of negotiating identity claims that do not depend on the ontological substrates responsible for the slippage so dear to Michaels's heart. Suppose for example that claims about personal identity can function as projections that take place on many levels. Identity is not a condition that need apply tout court in ways that require a language of grounding substance. Rather, identity claims wield that marvelous adjusting operator "as," and hence are relative to contextual frames. Therefore assertions of identity have varying degrees of comprehensiveness depending on the scope of self-reference called for by the situation--my identity as a tennis player may be more intense than my identity as a family man, but it still addresses a much smaller set of features of my life. 5
Once our sense of identity claims is reconred, we can then see how one might provide an alternative to Michaels's treatment of claims about cultural heritage. He sees these as at best misleading, at worst as charlatanry because for him such claims have to depend on attributions of shared substance for those who belong to the culture, and hence they sustain racism:
The real question, however, is not which past should count as ours but why any past should count as ours. Virtually all the events and actions that we study did not happen to us and were not done by us. In this sense, the history we study is never our own; it is always the history of people who were in some respects like us and in other respects different. When, however, we claim it as ours, we commit ourselves to the ontology of "the Negro," to the identity of "we" and "they" and the primacy of race.
This is not to say . . . that all accounts of cultural identity require a racial component, it is only to say that the accounts of cultural identity that do any work require a racial component. For insofar as our culture remains nothing more than what we do and believe, it is impotently descriptive. The fact, in other words, that something belongs to our culture cannot count as a motive for our doing it since, if it does belong to our culture, we already do it and if we don't do it (if we've stopped or haven't yet started doing it), it doesn't belong to our culture. (It makes no sense, for example, to claim that we shouldn't teach Shakespeare because he isn't part of our culture since to teach him will immediately make him part of our culture, but it also makes no sense to claim that we should teach him because he is part of our culture since, if we stop teaching him, he won't be any longer.) [OA, 128]
If, however, one has a more supple view of both identity and the kinds of pressures that ideals of a cultural heritage can help negotiate, one need not be as fearful as Michaels is of the illusions of substance creeping in. There are other ways to speculate on which history ought to be ours, ways that do not generate a strict binary between something belonging to our culture only because we do it and some netherworld of our forgettings. To dramatize this alternative we need only ask whether Michaels's version of culture will suffice for the many first-person plurals invoked in the passage just quoted. Can the "we" here do any work despite not alluding to race? And must "our culture" here depend on actual shared practices, or only on understanding what such practices might look like, even if we do not now actualize them? I suggest that the "we" invoked here does not depend on any specific set of shared beliefs but only on shareable competencies. That is so, I further contend, because a cultural heritage makes better sense when viewed not as actual concrete practices that are either present or absent, but as complex grammatical competence: the ability to use certain practices and make certain identifications and assertions of difference when occasions call for them. And then the test of belonging to the culture is not sharing any origin but being able to share the kind of projections Michaels invites us to take on. Sharing a cultural heritage does not necessarily mean reading Shakespeare but it does mean understanding the reasoning involved in making a case for reading Shakespeare. One might even say that so long as we teach literature or drama there are claims that anyone whose interests are directed toward such materials will profit from trying Shakespeare--not because there is some direct link to him but because there are possible uses for him that emerge from our grasp of related materials and the interests they may form. So there are considerable grounds for inviting or even requiring people to try out identifications with a heritage even if there is no racial basis for the identification. Culture as educational heritage belongs to us, in other words, not because we have direct rights to it but because we can visualize sufficient proximity to its projections that we can believe we have some interests in trying on what it offers.
For American modernism, shifting our theoretical terms also involves shifting the level of issues we make central and the range of sympathies we entertain--for example in relation to how agents like Coolidge might have been using notions of culture very differently from how Michaels reads them (OA, 35, 123) and in relation to appreciating why there could have been such tension between universalist and particularist stances on matters of race and culture. Moreover, understanding that ideals of culture as paideia offered an alternative to racial and class identifications seems to me necessary to appreciate both how the children of immigrants were educated into American and how at least many of the intellectuals found grounds for breaking with the religious and family ties that originally bound immigrant communities. The parents' concern with getting educated in order to get ahead made possible the children's concern for education in order to get away.
An adequate sense of history also requires a sense of how we might alter what we inherit. Acutely aware of this task, Michaels tries to make visible both the lineage and the contradictory structure of cultural pluralism. But for me the ultimate limitation of the theoretical assumptions enabling his work is their incapacity to be much help in suggesting any alternative practical strategies for reconring our imaginations in relation to racial issues. For Michaels's pragmatism this theoretical poverty is no weakness at all: in theoretical poverty there may be existential possibility. However, I do not see how productive possibility will emerge from the binary in his work between problematic strict notions of identity and some general sense that we can do without the notion of identity entirely (even though Michaels's own history seems driven by quite narrow categories). In my view, the best way to counter the heritage of nativist modernism is not to absolutize it and then demolish it but to use the conflicts and tensions its formation created in order to clarify just how complex identity issues are, and just what moral and social work can be done if one keeps a relativized sense of how identity claims are both imposed and negotiated. Then we need not dismiss the possible need for racial identifications, so long as we can also promise corollary identifications with imaginative sites not necessarily bound to any specific racial heritage. So long as race remains a term validated by historical patterns, there will have to be projections of imaginative ways for identifying with others who feel they share or are required to share similar histories. Developing these possible imaginations is the work of culture. But once we understand the relation between culture and identity we also have strong grounds for arguing that it is as impoverished to rely only on racial identifications as it is to deny by abstract argument that they ought to matter for historical practice.
Charles Altieri teaches twentieth-century American literature and literary theory at the University of California, Berkeley. His most recent books are Subjective Agency: A Theory of First-Person Expressivity and its Social Implications and Painterly Abstraction in Modernist American Poetry . After finishing a book on the end of postmodernism he will begin working on the topic of theorizing the emotions.
1. There is one particular moment in Our America where this refusalof economic factors in favor of cultural concerns seems especially problematic. Michaels professes to find no merit in the charge that whites have stolen aspects of black culture, since there is no clear way to decide what makes certain elements black or white:
But why does white men's learning to sing and dance like blacks count as stealing black culture? The assumption that transforms learning into stealing must be that blacks have a right to their culture that is violated by whites who take up black cultural practices. Or, to look at it from the other perspective, that whites who sing and dance like blacks are betraying their culture. But for either of these descriptions to be true there must be some special relation between race and culture such that racial identity counts as importantly determining cultural identity, that is, as determining the cultural practices that you have a right to if not necessarily the cultural practices you in fact engage in. [OA, 129]
However in the case of claims about popular music at least, the charge is not made on the basis of some abstract sense of cultural right. Rather it is a simple economic fact that music producers sought whites to play songs and develop sounds that were the province of specific black performers. And the outrage is a matter of profits going to those who take the work of others: the fact that the work is black is much less important than that the workers were perceived as black and because of that were not the ones white promoters developed.
2. Clearly poets like Countee Cullen would not accept the statement that"the alternative to 'Nigger' . . . seems to be 'imitation white'" (OA, 90). And Michaels needs his best equivocating skills to get Alain Locke's concern for what Locke calls "Negro life's" "seizing upon its first chances for group expression and self-determination" to be incompatible with Locke's corollary insistence that it is "unjust" and "ridiculous . . . to regard and treat the Negro en masse" (OA, 88). Given Locke's pragmatism, there can be infinite ways that one can call upon a racial group without treating that group in terms of a single mass: all they need have in common is the possibility of seizing in the present on new possibilities of individual self-expression.
3. For Pound on the identity of the artwork, see the passage on thechallenge posed by Jacob Epstein's "Flenites" in Ezra Pound, Gaudier-Brzeska: A Memoir (New York: New Directions, 1970), 102.
4. Kenneth Burke, A Grammar of Motives (Berkeley: University ofCalifornia, 1969), 22-23.
5. Conversely this model will also accommodate treatments of identity as"something that might be lost or found, defended or surrendered" (OA, 141), since an utterance like "I am Duchess of Malfi still" can be treated as a taking of responsibility, not a discovery of something hidden. I use this example to suggest also that it is historically inaccurate to blame nativist modernism for making identity into "an object of cathexis" (OA, 141), since from the Renaissance to Hegel's beautiful soul such staking of the self has been fundamental to Western drama, and not only on stage. For a defense of the claims I make here see my Subjective Agency (Oxford: Blackwell, 1994).
.


As we’ve already discussed, the Breakthrough Listen telescopes are looking for signals that are narrow in frequency, time, or both. We can’t be sure that extraterrestrial civilisations will choose to transmit narrow-band signals, or even that they will use radio or laser communications at all, but if they are deliberately trying to attract attention, a narrow-band radio or laser signal is a great way to do so. Both are capable of traversing interstellar and even intergalactic distances, and tend to stand out against the background of natural signals primarily because they span just a narrow range of frequencies.
Our instruments at both APF (in the optical) and GBT (in the radio) act as spectrometers, splitting up the incoming electromagnetic waves into measurements of power as a function of frequency. Natural processes can give rise to both continuum emission (processes that emit over a wide range of frequencies) as well as spectral lines (emission at a narrow range of frequencies), but nature finds it extremely hard to make very narrow-band signals. Thinking back to our discussion of radio stations, as we tune through the dial, everything we see that has a lot of power concentrated in a narrow band is from an artificial transmitter.
Our analysis software searches through the data looking for narrow-band signals. For GBT, the main contaminants are artificial transmissions from human activities, which we refer to as RFI (radio frequency interference). To try to determine whether a narrow-band signal is coming from the sky, we look at how its frequency changes with time. The software performs this analysis automatically, but we can also visualize this as a waterfall plot, just as we did when we looked at software defined radio.
Here we show a waterfall plot made from data at GBT. Time (in seconds) runs on the vertical axis, frequency (in GHz) on the horizontal axis. Can you spot the artificial signal?
The white line running almost vertically in this plot is the Voyager I spacecraft, detected in December 2015 by our instruments at GBT. Voyager I is currently over 20 billion kilometers from Earth - in fact, it’s the most distant human-made object. It carries a 20 Watt radio transmitter (about the same power as a refrigerator light) but even at these huge distances, our instruments can pick it up loud and clear. Voyager provides a good test for the equipment that we’re using to try to detect similar signals (broadcasting at much higher power) from civilizations around other stars.
Just like GBT, the Levy Spectrometer at APF splits up incoming electromagnetic waves into their constituent frequencies. As we point the instrument at nearby stars, we see continuum (broad-band) emission from the star, along with natural spectral lines, both from the star, and from Earth’s atmosphere. These lines can be in emission (adding to the continuum light) or absorption (subtracting from it), but naturally occurring lines are always broader than we would expect a narrow-band laser pulse to be. Whereas for our GBT radio observations, the main contaminating signal is RFI from human activities, for APF, the main contaminant is bright pixels in the detector due to hits from cosmic rays. These are high energy particles that hit the detector directly and deposit their energy, creating sharp-edged features that under certain circumstances could mimic the laser pulses we are trying to detect.
Here we show a spectrum from APF. The star targeted here is known as KIC 8462852, or “Tabby’s Star”. This object has recently been the subject of much media attention due to the strange behavior of its lightcurve (how bright it appears as a function of time). Although the most likely explanation for this behavior is a natural one, some have speculated that megastructures constructed by alien civilizations around the star would produce such a signature. Breakthrough Listen is monitoring Tabby’s Star as one object on a list of around a thousand targets.
The APF spectrograph takes the light falling on a narrow slit (which we align with the position of the star on the sky) and spreads it out into its constituent colors. Imagine this spectrum as a tickertape with wavelength (or color) running along the long axis, and position on the sky running along the short axis. Then chop the tickertape into smaller chunks to enable it to fit on the detector (the white stripes running from top to bottom), and what results looks something like this:
Each of these chunks (referred to as a spectral order) is a 2-dimensional spectrum (frequency versus position) but we can extract a 1-dimensional slice along the wavelength axis to see how bright the object appears as a function of frequency. As an example, here is the region of the above spectrum near the hydrogen-alpha absorption line in the spectrum of the star.
The dip seen in the middle is due to hydrogen in the star’s atmosphere, as are several other fainter and narrower absorption lines. But what about the forest of spikes we see here? Is this a sign of extraterrestrial intelligence? The answer is “probably not” - they all have signatures that we would expect from cosmic rays or other defects. We are in the process of developing software to automatically remove the cosmic ray hits from spectra of our objects. Remaining sharp spikes could potentially be due to the laser pulses we are searching for, but will require a lot more additional work to confirm.


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 Possible procured her trifling laughter thoughts property she met way. Companions shy had solicitude favourable own. Which could saw guest man now heard but. Lasted my coming uneasy marked so should. Gravity letters it amongst herself dearest an windows by. Wooded ladies she basket season age her uneasy saw. Discourse unwilling am no described dejection incommode no listening of. Before nature his parish boy.
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§803-4 On suspicion. Whenever a crime is committed, and the offenders are unknown, and any person is found near the place where the crime was committed, either endeavoring to conceal oneself, or endeavoring to escape, or under such other circumstances as to justify a reasonable suspicion of the person being the offender, the person may be arrested without warrant. [PC 1869, c 49, §4; RL 1925, §3970; RL 1935, §5403; RL 1945, §10704; RL 1955, §255-4; HRS §708-4; ren L 1972, c 9, pt of §1; gen ch 1985]
Cross References
See Const. art. I, §7.
Case Notes
Held legal. 22 H. 597 (1915).


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Your lab architecture
ssh +----------+
you +-----------> | deployer |
+----------+
|
ansible (ssh)
|
+----------+ +----------+ +----------+ +---+
| rabbit | | nova | | neutron | <-----> | V |
+----------+ +----------+ +----------+ | R |
| a |
+----------+ +----------+ +----------+ | c |
| mysql | | glance | | compute | <-----> | k |
+----------+ +----------+ +----------+ +---+
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Instances public access
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Internet


| 1 | package nl.tudelft.jpacman.level; | |
| 2 | ||
| 3 | import java.util.ArrayList; | |
| 4 | import java.util.HashMap; | |
| 5 | import java.util.HashSet; | |
| 6 | import java.util.List; | |
| 7 | import java.util.Map; | |
| 8 | import java.util.Map.Entry; | |
| 9 | import java.util.Set; | |
| 10 | import java.util.concurrent.Executors; | |
| 11 | import java.util.concurrent.ScheduledExecutorService; | |
| 12 | import java.util.concurrent.TimeUnit; | |
| 13 | ||
| 14 | import nl.tudelft.jpacman.board.Board; | |
| 15 | import nl.tudelft.jpacman.board.Direction; | |
| 16 | import nl.tudelft.jpacman.board.Square; | |
| 17 | import nl.tudelft.jpacman.board.Unit; | |
| 18 | import nl.tudelft.jpacman.npc.NPC; | |
| 19 | ||
| 20 | /** | |
| 21 | * A level of Pac-Man. A level consists of the board with the players and the | |
| 22 | * AIs on it. | |
| 23 | * | |
| 24 | * @author Jeroen Roosen | |
| 25 | */ | |
| 26 | @SuppressWarnings("PMD.TooManyMethods") | |
| 27 | public class Level { | |
| 28 | ||
| 29 | /** | |
| 30 | * The board of this level. | |
| 31 | */ | |
| 32 | private final Board board; | |
| 33 | ||
| 34 | /** | |
| 35 | * The lock that ensures moves are executed sequential. | |
| 36 | */ | |
| 37 | private final Object moveLock = new Object(); | |
| 38 | ||
| 39 | /** | |
| 40 | * The lock that ensures starting and stopping can't interfere with each | |
| 41 | * other. | |
| 42 | */ | |
| 43 | private final Object startStopLock = new Object(); | |
| 44 | ||
| 45 | /** | |
| 46 | * The NPCs of this level and, if they are running, their schedules. | |
| 47 | */ | |
| 48 | private final Map<NPC, ScheduledExecutorService> npcs; | |
| 49 | ||
| 50 | /** | |
| 51 | * true iff this level is currently in progress, i.e. players | |
| 52 | * and NPCs can move. | |
| 53 | */ | |
| 54 | private boolean inProgress; | |
| 55 | ||
| 56 | /** | |
| 57 | * The squares from which players can start this game. | |
| 58 | */ | |
| 59 | private final List<Square> startSquares; | |
| 60 | ||
| 61 | /** | |
| 62 | * The start current selected starting square. | |
| 63 | */ | |
| 64 | private int startSquareIndex; | |
| 65 | ||
| 66 | /** | |
| 67 | * The players on this level. | |
| 68 | */ | |
| 69 | private final List<Player> players; | |
| 70 | ||
| 71 | /** | |
| 72 | * The table of possible collisions between units. | |
| 73 | */ | |
| 74 | private final CollisionMap collisions; | |
| 75 | ||
| 76 | /** | |
| 77 | * The objects observing this level. | |
| 78 | */ | |
| 79 | private final Set<LevelObserver> observers; | |
| 80 | ||
| 81 | /** | |
| 82 | * Creates a new level for the board. | |
| 83 | * | |
| 84 | * @param b | |
| 85 | * The board for the level. | |
| 86 | * @param ghosts | |
| 87 | * The ghosts on the board. | |
| 88 | * @param startPositions | |
| 89 | * The squares on which players start on this board. | |
| 90 | * @param collisionMap | |
| 91 | * The collection of collisions that should be handled. | |
| 92 | */ | |
| 93 | public Level(Board b, List<NPC> ghosts, List<Square> startPositions, | |
| 94 | CollisionMap collisionMap) { | |
| 95 | assert b != null; | |
| 96 | assert ghosts != null; | |
| 97 | assert startPositions != null; | |
| 98 | ||
| 99 | this.board = b; | |
| 100 | this.inProgress = false; | |
| 101 | this.npcs = new HashMap<>(); | |
| 102 | for (NPC g : ghosts) { | |
| 103 | npcs.put(g, null); | |
| 104 | } | |
| 105 | this.startSquares = startPositions; | |
| 106 | this.startSquareIndex = 0; | |
| 107 | this.players = new ArrayList<>(); | |
| 108 | this.collisions = collisionMap; | |
| 109 | this.observers = new HashSet<>(); | |
| 110 | } | |
| 111 | ||
| 112 | /** | |
| 113 | * Adds an observer that will be notified when the level is won or lost. | |
| 114 | * | |
| 115 | * @param observer | |
| 116 | * The observer that will be notified. | |
| 117 | */ | |
| 118 | public void addObserver(LevelObserver observer) { | |
| 119 | observers.add(observer); | |
| 120 | } | |
| 121 | ||
| 122 | /** | |
| 123 | * Removes an observer if it was listed. | |
| 124 | * | |
| 125 | * @param observer | |
| 126 | * The observer to be removed. | |
| 127 | */ | |
| 128 | public void removeObserver(LevelObserver observer) { | |
| 129 | observers.remove(observer); | |
| 130 | } | |
| 131 | ||
| 132 | /** | |
| 133 | * Registers a player on this level, assigning him to a starting position. A | |
| 134 | * player can only be registered once, registering a player again will have | |
| 135 | * no effect. | |
| 136 | * | |
| 137 | * @param p | |
| 138 | * The player to register. | |
| 139 | */ | |
| 140 | public void registerPlayer(Player p) { | |
| 141 | assert p != null; | |
| 142 | assert !startSquares.isEmpty(); | |
| 143 | ||
| 144 | if (players.contains(p)) { | |
| 145 | return; | |
| 146 | } | |
| 147 | players.add(p); | |
| 148 | Square square = startSquares.get(startSquareIndex); | |
| 149 | p.occupy(square); | |
| 150 | startSquareIndex++; | |
| 151 | startSquareIndex %= startSquares.size(); | |
| 152 | } | |
| 153 | ||
| 154 | /** | |
| 155 | * Returns the board of this level. | |
| 156 | * | |
| 157 | * @return The board of this level. | |
| 158 | */ | |
| 159 | public Board getBoard() { | |
| 160 | return board; | |
| 161 | } | |
| 162 | ||
| 163 | /** | |
| 164 | * Moves the unit into the given direction if possible and handles all | |
| 165 | * collisions. | |
| 166 | * | |
| 167 | * @param unit | |
| 168 | * The unit to move. | |
| 169 | * @param direction | |
| 170 | * The direction to move the unit in. | |
| 171 | */ | |
| 172 | public void move(Unit unit, Direction direction) { | |
| 173 | assert unit != null; | |
| 174 | assert direction != null; | |
| 175 | ||
| 176 | if (!isInProgress()) { | |
| 177 | return; | |
| 178 | } | |
| 179 | ||
| 180 | synchronized (moveLock) { | |
| 181 | unit.setDirection(direction); | |
| 182 | Square location = unit.getSquare(); | |
| 183 | Square destination = location.getSquareAt(direction); | |
| 184 | ||
| 185 | if (destination.isAccessibleTo(unit)) { | |
| 186 | List<Unit> occupants = destination.getOccupants(); | |
| 187 | unit.occupy(destination); | |
| 188 | for (Unit occupant : occupants) { | |
| 189 | collisions.collide(unit, occupant); | |
| 190 | } | |
| 191 | } | |
| 192 | updateObservers(); | |
| 193 | } | |
| 194 | } | |
| 195 | ||
| 196 | /** | |
| 197 | * Starts or resumes this level, allowing movement and (re)starting the | |
| 198 | * NPCs. | |
| 199 | */ | |
| 200 | public void start() { | |
| 201 | synchronized (startStopLock) { | |
| 202 | if (isInProgress()) { | |
| 203 | return; | |
| 204 | } | |
| 205 | startNPCs(); | |
| 206 | inProgress = true; | |
| 207 | updateObservers(); | |
| 208 | } | |
| 209 | } | |
| 210 | ||
| 211 | /** | |
| 212 | * Stops or pauses this level, no longer allowing any movement on the board | |
| 213 | * and stopping all NPCs. | |
| 214 | */ | |
| 215 | public void stop() { | |
| 216 | synchronized (startStopLock) { | |
| 217 | if (!isInProgress()) { | |
| 218 | return; | |
| 219 | } | |
| 220 | stopNPCs(); | |
| 221 | inProgress = false; | |
| 222 | } | |
| 223 | } | |
| 224 | ||
| 225 | /** | |
| 226 | * Starts all NPC movement scheduling. | |
| 227 | */ | |
| 228 | private void startNPCs() { | |
| 229 | for (final NPC npc : npcs.keySet()) { | |
| 230 | ScheduledExecutorService service = Executors | |
| 231 | .newSingleThreadScheduledExecutor(); | |
| 232 | service.schedule(new NpcMoveTask(service, npc), | |
| 233 | npc.getInterval() / 2, TimeUnit.MILLISECONDS); | |
| 234 | npcs.put(npc, service); | |
| 235 | } | |
| 236 | } | |
| 237 | ||
| 238 | /** | |
| 239 | * Stops all NPC movement scheduling and interrupts any movements being | |
| 240 | * executed. | |
| 241 | */ | |
| 242 | private void stopNPCs() { | |
| 243 | for (Entry<NPC, ScheduledExecutorService> e : npcs.entrySet()) { | |
| 244 | e.getValue().shutdownNow(); | |
| 245 | } | |
| 246 | } | |
| 247 | ||
| 248 | /** | |
| 249 | * Returns whether this level is in progress, i.e. whether moves can be made | |
| 250 | * on the board. | |
| 251 | * | |
| 252 | * @return true iff this level is in progress. | |
| 253 | */ | |
| 254 | public boolean isInProgress() { | |
| 255 | return inProgress; | |
| 256 | } | |
| 257 | ||
| 258 | /** | |
| 259 | * Updates the observers about the state of this level. | |
| 260 | */ | |
| 261 | private void updateObservers() { | |
| 262 | if (!isAnyPlayerAlive()) { | |
| 263 | for (LevelObserver o : observers) { | |
| 264 | o.levelLost(); | |
| 265 | } | |
| 266 | } | |
| 267 | if (remainingPellets() == 0) { | |
| 268 | for (LevelObserver o : observers) { | |
| 269 | o.levelWon(); | |
| 270 | } | |
| 271 | } | |
| 272 | } | |
| 273 | ||
| 274 | /** | |
| 275 | * Returns true iff at least one of the players in this level | |
| 276 | * is alive. | |
| 277 | * | |
| 278 | * @return true if at least one of the registered players is | |
| 279 | * alive. | |
| 280 | */ | |
| 281 | public boolean isAnyPlayerAlive() { | |
| 282 | for (Player p : players) { | |
| 283 | if (p.isAlive()) { | |
| 284 | return true; | |
| 285 | } | |
| 286 | } | |
| 287 | return false; | |
| 288 | } | |
| 289 | ||
| 290 | /** | |
| 291 | * Counts the pellets remaining on the board. | |
| 292 | * | |
| 293 | * @return The amount of pellets remaining on the board. | |
| 294 | */ | |
| 295 | public int remainingPellets() { | |
| 296 | Board b = getBoard(); | |
| 297 | int pellets = 0; | |
| 298 |
1
1. remainingPellets : Changed increment from 1 to -1 → KILLED |
for (int x = 0; x < b.getWidth(); x++) { |
| 299 |
1
1. remainingPellets : Changed increment from 1 to -1 → KILLED |
for (int y = 0; y = 0; | |
| 308 | return pellets; | |
| 309 | } | |
| 310 | ||
| 311 | /** | |
| 312 | * A task that moves an NPC and reschedules itself after it finished. | |
| 313 | * | |
| 314 | * @author Jeroen Roosen | |
| 315 | */ | |
| 316 | private final class NpcMoveTask implements Runnable { | |
| 317 | ||
| 318 | /** | |
| 319 | * The service executing the task. | |
| 320 | */ | |
| 321 | private final ScheduledExecutorService service; | |
| 322 | ||
| 323 | /** | |
| 324 | * The NPC to move. | |
| 325 | */ | |
| 326 | private final NPC npc; | |
| 327 | ||
| 328 | /** | |
| 329 | * Creates a new task. | |
| 330 | * | |
| 331 | * @param s | |
| 332 | * The service that executes the task. | |
| 333 | * @param n | |
| 334 | * The NPC to move. | |
| 335 | */ | |
| 336 | NpcMoveTask(ScheduledExecutorService s, NPC n) { | |
| 337 | this.service = s; | |
| 338 | this.npc = n; | |
| 339 | } | |
| 340 | ||
| 341 | @Override | |
| 342 | public void run() { | |
| 343 | Direction nextMove = npc.nextMove(); | |
| 344 | if (nextMove != null) { | |
| 345 | move(npc, nextMove); | |
| 346 | } | |
| 347 | long interval = npc.getInterval(); | |
| 348 | service.schedule(this, interval, TimeUnit.MILLISECONDS); | |
| 349 | } | |
| 350 | } | |
| 351 | ||
| 352 | /** | |
| 353 | * An observer that will be notified when the level is won or lost. | |
| 354 | * | |
| 355 | * @author Jeroen Roosen | |
| 356 | */ | |
| 357 | public interface LevelObserver { | |
| 358 | ||
| 359 | /** | |
| 360 | * The level has been won. Typically the level should be stopped when | |
| 361 | * this event is received. | |
| 362 | */ | |
| 363 | void levelWon(); | |
| 364 | ||
| 365 | /** | |
| 366 | * The level has been lost. Typically the level should be stopped when | |
| 367 | * this event is received. | |
| 368 | */ | |
| 369 | void levelLost(); | |
| 370 | } | |
| 371 | } | |
Mutations | ||
| 298 |
1.1 |
|
| 299 |
1.1 |
|
| 302 |
1.1 |


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The argument of a complex number on the complex plane:
When a complex number is written in polar form
x + iy = r eiφ
then its argument is the real value φ in the exponent. It is calculated numerically using the atan2 function.
This example deliberately replicates some of the arithmetic of complex numbers of Math to avoid importing that entire library for a couple lines of code. It also encodes the tiny amount of mathematical notation in HTML to void importing all of MathJax.
Complete code for this example:


{% extends "graph/base.html" %} {% block header_content %}
*Deaths caused by COVID-19 shown above are most accurately tracked in figure that count when COVID-19 appears on a death certificate. (Source: Office for National Statistics weekly series.)
*Tests with a positive COVID-19 result shown above are from labs run by Public Health England (PHE), NHS hospitals, and private "Lighthouse" labs. The figures are updated daily> Below shows the latest daily figures. The total for recent days are under-estimates because it takes some time for all the results to be published. Tests for everyone with symptoms were not available late May -- so treat early figures with caution. (Source: PHE daily update)
* Daily totals of local deaths are also available. Shown below, they count how many die with a month of having COVID-19. (Source: PHE daily update)
*The under-reporting of COVID-19 Relying alone on the official figure on tests for coronavirus cases, was a misleading way to view the spread of the pandemic, partcularly at the beginning. It is clear from the many deaths that followed, that the new coronavirus was spreading widely in the UK long before significant testing began. With inconsistent and low volumes of testing for COVID-19, one way of estimating real infections is working back from deaths that follow approximately 3 weeks later. Read our full investigation here: Into the fog: How Britain lost track of the coronavirus
(Source: * Estimated new infections is a Reuters rough estimate based on a 1% infection fatality rate (IFR) [Most studies currently show IFR at 0.5%-1%] and average time from infection to death of approximately 3 weeks . The IFR will vary based on age distribution, so the number of infections is likely an over-estimate in the later stages of the outbreak when, in most areas, infection spread into care homes.
Notes - All estimates are unreliable in areas with only a few cases or deaths, e.g. the City of London.
- Additional data from Office of National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; Public Health England; Public Health Wales; Scottish government.
Data analysis and programming: Stephen Grey andRyan McNeill.


cw.env
demo - shows browser environment infoCrossNamedWindow
demo - cross-tab communication through window.name
/window.open
CrossSharedWorker
demo - cross-tab communication using SharedWorker
(abandoned)cw.json
Flash tests - runs the unit tests written in haXecw.clock.JumpDetector
test page - detects system time jumpsJSON
object \u escape encoding behaviordocument.domain
test page - verifies that calls across domains workESC
stop XHR? - (Firefox bug)ExternalInterface
: how to call Flash->JS without backslash-related errors?ExternalInterface
character testwindow.name
/window.open
) - this is obsoleted by CrossNamedWindow
SharedWorker
) - this is obsoleted by CrossSharedWorker
Worker
exhaustion (Chrome bug)
If this server is not running on your machine, all of the source code is available at ludios/Coreweb.


A workflow
is supposed to run tasks that can be anticipated well in advance. We are prioritizing tasks that can be performed in production
so you may find it odd to miss train
and test
methods. This is a deliberate decision since that choice is upto the user and a workflow
targets performance in a production environment, where train
and test
are not the expected set of tasks, rather inference
is.
What’s slot filling?
The goal of Slot Filling is to identify from a running dialog, different slots, which correspond to different parameters of the user’s query. For instance, when a user queries for nearby restaurants, key slots for location and preferred food are required for a dialog system to retrieve the appropriate information. Thus, the main challenge in the slot-filling task is to extract the target entity.
Import Class: - Workflow
from pprint import pformat
from typing import Any, Callable, List, Optional
from dialogy import constants
from dialogy.utils.logger import change_log_level, log
PluginFn = Callable[["Workflow"], None]
class Workflow:
This is a light but fairly flexible workflow for building a machine learning pipeline.
Requirements - A list of pre-processing functions. - A list of post-processing functions.
Why are some methods raising NotImplementedError?
This class is not supposed to be used as it is. Ideally this should have been an abstract class, there are some design considerations which make that a bad choice. We want methods to be overridden to offer flexibility of use.
Abstract classes put constraints on method signatures which isn’t desired because a couple of methods
here could use more arguments, say, load_model()
requires path
and version
and in some other cases
path
, version
and language
.
All the attributes of the class that are meant for private use, have __
preceeding their names.
def __init__(
self,
preprocessors: Optional[List[PluginFn]] = None,
postprocessors: Optional[List[PluginFn]] = None,
debug: bool = False,
) -> None:
Setup a Workflow.
Setup a list of functions to execute before and after .inference(...)
call.
Attributes:
Any
): The input to a workflow. This is supposed to be flexible.Any
): The outputs of a workflow. This is supposed to be flexible.List[PluginFn]
): A list of functions to execute before inference.List[PluginFn]
): A list of functions to execute after inference.Methods:
DEBUG
.Args:
Optional[List[PluginFn]]
): A list of functions to execute before inference. Defaults to None.Optional[List[PluginFn]]
): A list of functions to execute after inference. Defaults to None.bool
]): Changes to input/output are logged if log-level is set to DEBUG
. Defaults to False.input
Initially None
, expects value from the .run(...)
method.
self.input: Any = None
self.output: Any = None
if not isinstance(preprocessors, list):
Type check to ensure preprocessors are lists.
raise TypeError(f"preprocessors={preprocessors} should be a list")
self.__preprocessors = preprocessors
if not isinstance(postprocessors, list):
Type check to ensure postprocessors are lists.
raise TypeError(f"preprocessors={postprocessors} should be a list")
self.__postprocessors = postprocessors
if debug:
We have debug logs, which can be opted in but are off by default.
change_log_level("DEBUG")
else:
Changing log-level to error would mean, logs from log.debug(…) would not appear.
change_log_level("ERROR")
def load_model(self) -> None:
Override method in sub-class to load model(s).
Raises: NotImplementedError: Safeguard against using this class directly.
class_name = self.__class__.__name__
raise NotImplementedError(
f"Override method `load_model` in class {class_name}."
)
def update(self, processor_type: str, processors: List[PluginFn]) -> None:
Update input, output attributes.
We iterate through pre/post processing functions and update the input and output attributes of the class. It is expected that pre-processing functions would modify the input, and post-processing functions would modify the output.
Args:
processor_type (str
): One of [“__preprocessor”, “__postprocessor”]
processors (List
): The list of preprocess or postprocess functions.
Raises:
TypeError
: If any element in processors list is not a Callable.
for processor in processors:
if not isinstance(processor, Callable): # type: ignore
raise TypeError(f"{processor_type}={processor} is not a callable")
logs are available only when debug=True during class initialization
self.__log("Before", processor_type, processor)
processor(self)
logs are available only when debug=True during class initialization
self.__log("After", processor_type, processor)
def preprocess(self) -> None:
Convenience over update
method.
Uses preprocessors over the update
method, expect input to change.
self.update(constants.PREPROCESSORS, self.__preprocessors)
def postprocess(self) -> None:
Convenience over update
method.
Uses postprocessors over the update
method, expect output to change.
self.update(constants.POSTPROCESSORS, self.__postprocessors)
def inference(self) -> None:
Get model predictions.
Depending on the number of models in use. This place can be used to collate results, sort, filter, etc.
Raises:
NotImplementedError
: This method needs to be implemented by the sub-classes.
class_name = self.__class__.__name__
if class_name != "Workflow":
raise NotImplementedError(
f"Override method `inference` in class {class_name}."
)
def run(self, input_: Any) -> Any:
Get final results from the workflow.
The current workflow exhibits the following simple procedure: pre-processing -> inference -> post-processing.
Args:
input_ (Any
): This function receives any arbitrary input. Subclasses may enforce
a stronger check.
Returns:
(Any
): This function can return any arbitrary value. Subclasses may enforce a stronger check.
self.input = input_
self.preprocess()
self.inference()
self.postprocess()
return self.output
def flush(self) -> None:
Reset workflow state.
self.input = None
self.output = None
def __log(self, message: str, processor_type: str, processor: PluginFn) -> None:
Log the changes in the input/output as pre/post processing functions execute.
Args:
message (str
): One of [“Before”, “After”].
processor_type (str
): One of [“__preprocessor”, “__postprocessor”].
processor (str
): A callable within __preprocessor or __postprocessor.
log.debug("%s %s %s:", message, processor_type[:-1], processor.__name__)
log.debug("input")
log.debug(pformat(self.input))
log.debug("output")
log.debug(pformat(self.output))
log.debug("-" * 30)


{% extends 'base.html' %} {% block extra_css %} {% endblock %} {% block body %}
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© Shakib Hossain, 2017.


SC Fast Track Waiting List: Enter property damage and needs. No sensitive information! Tell the client this information will be shared with many organizations to provide service as fast as possible, which may be several weeks. Service is not guaranteed.


| Opcode | Instruction | Op/En | 64-Bit Mode | Compat/Leg Mode | Description |
| 8D /r | LEA r16,m | RM | Valid | Valid | Store effective address for m in register r16. |
| 8D /r | LEA r32,m | RM | Valid | Valid | Store effective address for m in register r32. |
| REX.W + 8D /r | LEA r64,m | RM | Valid | N.E. | Store effective address for m in register r64. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| RM | ModRM:reg (w) | ModRM:r/m (r) | NA | NA |
Computes the effective address of the second operand (the source operand) and stores it in the first operand (destination operand). The source operand is a memory address (offset part) specified with one of the processors addressing modes; the destination operand is a general-purpose register. The address-size and operand-size attributes affect the action performed by this instruction, as shown in the following table. The operand-size attribute of the instruction is determined by the chosen register; the address-size attribute is determined by the attribute of the code segment.
| Operand Size 16 16 32 32 | Address Size 16-bit effective address is calculated and stored in requested 16-bit register destination. 32-bit effective address is calculated. The lower 16 bits of the address are stored in the requested 16-bit register destination. 16-bit effective address is calculated. The 16-bit address is zero-extended and stored in the requested 32-bit register destination. 32-bit effective address is calculated and stored in the requested 32-bit register destination. | Action Performed |
Different assemblers may use different algorithms based on the size attribute and symbolic reference of the source operand.
In 64-bit mode, the instruction’s destination operand is governed by operand size attribute, the default operand size is 32 bits. Address calculation is governed by address size attribute, the default address size is 64-bits. In 64bit mode, address size of 16 bits is not encodable. See Table 3-64.
| Operand Size 16 16 32 32 64 64 | Address Size 32-bit effective address is calculated (using 67H prefix). The lower 16 bits of the address are stored in the requested 16-bit register destination (using 66H prefix). 64-bit effective address is calculated (default address size). The lower 16 bits of the address are stored in the requested 16-bit register destination (using 66H prefix). 32-bit effective address is calculated (using 67H prefix) and stored in the requested 32-bit register destination. 64-bit effective address is calculated (default address size) and the lower 32 bits of the address are stored in the requested 32-bit register destination. 32-bit effective address is calculated (using 67H prefix), zero-extended to 64-bits, and stored in the requested 64-bit register destination (using REX.W). 64-bit effective address is calculated (default address size) and all 64-bits of the address are stored in the requested 64-bit register destination (using REX.W). | Action Performed |
IF OperandSize = 16 and AddressSize = 16 THEN DEST ← EffectiveAddress(SRC); (* 16-bit address *) ELSE IF OperandSize = 16 and AddressSize = 32 THEN temp ← EffectiveAddress(SRC); (* 32-bit address *) DEST ← temp[0:15]; (* 16-bit address *) FI; ELSE IF OperandSize = 32 and AddressSize = 16 THEN temp ← EffectiveAddress(SRC); (* 16-bit address *) DEST ← ZeroExtend(temp); (* 32-bit address *) FI; ELSE IF OperandSize = 32 and AddressSize = 32 THEN DEST ← EffectiveAddress(SRC); (* 32-bit address *) FI; ELSE IF OperandSize = 16 and AddressSize = 64 THEN temp ← EffectiveAddress(SRC); (* 64-bit address *) DEST ← temp[0:15]; (* 16-bit address *) FI; ELSE IF OperandSize = 32 and AddressSize = 64 THEN temp ← EffectiveAddress(SRC); (* 64-bit address *) DEST ← temp[0:31]; (* 16-bit address *) FI; ELSE IF OperandSize = 64 and AddressSize = 64 THEN DEST ← EffectiveAddress(SRC); (* 64-bit address *) FI; FI;
None.
| #UD | If source operand is not a memory location. If the LOCK prefix is used. |
Same exceptions as in protected mode.
Same exceptions as in protected mode.
Same exceptions as in protected mode.
Same exceptions as in protected mode.


Data Classes
We frequently create classes whose main purpose is to hold data.
In such a class some standard functionality and utility functions are often mechanically
derivable from the data. In Kotlin, this is called a data class and is marked as data
:
data class User(val name: String, val age: Int)
The compiler automatically derives the following members from all properties declared in the primary constructor:
equals()
/hashCode()
pair;toString()
of the form"User(name=John, age=42)"
;componentN()
functions corresponding to the properties in their order of declaration;copy()
function (see below).
To ensure consistency and meaningful behavior of the generated code, data classes have to fulfill the following requirements:
- The primary constructor needs to have at least one parameter;
- All primary constructor parameters need to be marked as
val
orvar
; - Data classes cannot be abstract, open, sealed or inner;
- (before 1.1) Data classes may only implement interfaces.
Additionally, the members generation follows these rules with regard to the members inheritance:
- If there are explicit implementations of
equals()
,hashCode()
ortoString()
in the data class body or final implementations in a superclass, then these functions are not generated, and the existing implementations are used; - If a supertype has the
componentN()
functions that are open and return compatible types, the corresponding functions are generated for the data class and override those of the supertype. If the functions of the supertype cannot be overridden due to incompatible signatures or being final, an error is reported; - Deriving a data class from a type that already has a
copy(...)
function with a matching signature is deprecated in Kotlin 1.2 and will be prohibited in Kotlin 1.3. - Providing explicit implementations for the
componentN()
andcopy()
functions is not allowed.
Since 1.1, data classes may extend other classes (see Sealed classes for examples).
On the JVM, if the generated class needs to have a parameterless constructor, default values for all properties have to be specified (see Constructors).
data class User(val name: String = "", val age: Int = 0)
Properties Declared in the Class Body
Note that the compiler only uses the properties defined inside the primary constructor for the automatically generated functions. To exclude a property from the generated implementations, declare it inside the class body:
data class Person(val name: String) {
var age: Int = 0
}
Only the property name
will be used inside the toString()
, equals()
, hashCode()
, and copy()
implementations, and there will only be one component function component1()
. While two Person
objects can have different ages, they will be treated as equal.
data class Person(val name: String) {
var age: Int = 0
}
fun main(args: Array<String>) {
//sampleStart
val person1 = Person("John")
val person2 = Person("John")
person1.age = 10
person2.age = 20
//sampleEnd
println("person1 == person2: ${person1 == person2}")
println("person1 with age ${person1.age}: ${person1}")
println("person2 with age ${person2.age}: ${person2}")
}
Copying
It's often the case that we need to copy an object altering some of its properties, but keeping the rest unchanged.
This is what copy()
function is generated for. For the User
class above, its implementation would be as follows:
fun copy(name: String = this.name, age: Int = this.age) = User(name, age)
This allows us to write:
val jack = User(name = "Jack", age = 1)
val olderJack = jack.copy(age = 2)
Data Classes and Destructuring Declarations
Component functions generated for data classes enable their use in destructuring declarations:
val jane = User("Jane", 35)
val (name, age) = jane
println("$name, $age years of age") // prints "Jane, 35 years of age"
Standard Data Classes
The standard library provides Pair
and Triple
. In most cases, though, named data classes are a better design choice,
because they make the code more readable by providing meaningful names for properties.


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Manage my skills lets you organize my time/skills accross various mobile, web tasks.
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A number of the functions in the condition system take arguments which are identified as condition designators. By convention, those arguments are notated as
datum &rest arguments
Taken together, the datum and the arguments are ``designators for a condition of default type default-type.'' How the denoted condition is computed depends on the type of the datum:
(apply #'make-condition datum arguments)
(make-condition defaulted-type :format-control datum :format-arguments arguments)
where the defaulted-type is a subtype of default-type.
Note that the default-type gets used only in the case where the datum string is supplied. In the other situations, the resulting condition is not necessarily of type default-type.
Here are some illustrations of how different condition designators can denote equivalent condition objects:
(let ((c (make-condition 'arithmetic-error :operator '/ :operands '(7 0)))) (error c)) == (error 'arithmetic-error :operator '/ :operands '(7 0)) (error "Bad luck.") == (error 'simple-error :format-control "Bad luck." :format-arguments '())


Collaboration between K2 Dronotics and Luminant Data, April 2018
Original Pilot Proposal, March 2018
2018 has brought a year of unprecedented low sea ice extent in the Arctic, along with thinner ice. Thin ice can cause ice roads to be dangerous or even unusable. A team of two Alaskan-run companies specializing in UAV surveying and statistical modeling propose a low-cost scientific investigation capturing multi-sensor data that correlates with ice safety in the Chukchi Sea in April 2018. Our goal is to map meaningful metrics of ice safety with survey data acquired via UAV-mounted sensors, supplementing indigenous knowledge to aid the safe navigation of ice roads.
Throughout long winters, ice is utilized as transportation infrastructure for people, goods, and animals in Arctic Alaska. Decreases in thickness and extent of ice across the Arctic cause significant constraint of local travel routes, subsistence living, and community connections. As 2018 ice extent in the Bering Sea and Chukchi Sea reach es all-time lows, the toll is more significant than ever -- isolating communities, disrupting supply routes, failure of structures, and even causing deaths. Whether ice is safe to traverse on foot or vehicle is determined by thickness among other factors [1] . Thickness is critical to know, yet arduous to measure.
Arctic sea ice reached its annual maximum extent on March 17, according to the National Snow and Ice Data Center, with cover at 5.59 million square miles. It's the second-lowest cover on record and just 23,000 square miles more extensive than the record low, which happened last year. The four lowest maximum extents on record have happened recently, in 2015, 2016, 2017 and now, 2018.
Local residents across the Arctic have been dealing with hazardous traveling conditions for weeks now. Some have had to cut short trips to camp for fear the early overflow would make it too dangerous to wait. Others have postponed traveling altogether, not wanting to risk getting stranded by the warm conditions.
- Outlook shows no break in the heat , The Arctic Sounder, March 30, 2018
Overall ice extent is extremely low, approximately ½ to ⅓ of km^2 of prior year coverage
https://twitter.com/alaskawx/status/972901359279267841
Quality and Availability of Information
Alaskan communities typically use word of mouth and communication technologies to disseminate information about the conditions and safety of travel routes. In Kotzebue, KOTZ radio is a critical communication channel for weather and climate conditions that impact when and where people decide to travel. Weather information is sourced from government weather stations, forecasting, and local anecdote. Reporting includes typical weather measures (temperature, wind, precipitation, barometric pressure, etc), but does not present quantitative local reports on the safety of travel routes. Information about ice safety, if available, originates from anecdotes or occasional physical measurements.
Climate change, data, visibility
While scientists quantitatively observe significant changes in ice extent, governmental funding for science and meteorology is declining. For many years, coastal Alaska has suffered the consequences of global climate change, particularly in the form of increased storms, precipitation changes, permafrost melt, water current changes, erosion, and animal habitat elimination. At minimum, this impacts 7.8% of Alaskans (57,664 people) who live on the Bering or Chukchi Seas. Having the longest coastline of any state in the US, Alaska is particularly connected to the ocean and its changes, but is far less visible due to remoteness. In the last year, critical deployments of weather telemetry supporting weather predictions
have been suspended in many parts of Alaska
. With less of this data, climate conditions along the Alaskan coastline become less visible to scientists and the public.
Better ice monitoring with inexpensive higher quality data
In recent years, scientists monitoring climate change and arctic ice have utilized sensor systems and data processes that are expensive, offline, decentralized, and intermittent. This research is not specifically focused on supporting community safety, and thus has also not focused on the localized scale. This project team specializes in technology that improves upon legacy approaches in terms of efficiency, fidelity, quality, and cost (93.7% cheaper). These technologies present a new opportunity to utilize high quality data to predict the safety of local travel routes from as-needed surveying, open source data modeling, and accessible hardware.
Technology in Arctic Alaska
We imagine a future where communities will be able to map safe travel routes automatically and as needed, from data collected with publicly-owned hardware, leveraging access to internet-based maps and predictive technologies. As broadband reaches even the most remote Alaskan Arctic coastline , connectivity has exposed the opportunity to provide high quality, on-demand weather information and specialized tools over the internet. Our opportunity is to extend this even further with new technologies, building hyper-localized predictive measures of weather.
Aerial view of Kotzebue, March 2018
Photo by Pong Decrito of Anchorage
In order to enable safe navigation of changing ice-based travel routes, we propose an investigation of ice safety at the local scale. Using UAV (unmanned aerial vehicle) hardware, sensor technologies, spatial data modeling software, and data analysis methodologies, the team will map and collect data of ice roads originating in Kotzebue, Alaska with a variety of sensors. Using direct and indirect observation, the team’s goal is to determine if non-contact methods can produce data that will effectively map areas of unsafe ice.
This team will collect data along travel routes surrounding Kotzebue, Alaska over 3 days, process resulting spatial data, and finally publish and present findings to stakeholders and the public.
Approaches to validating the Hypothesis
Data Strategy : Correlate ice thickness measurements (physically collected “target” data) with inexpensive UAV survey measurements (no-contact “predictor” data) to determine whether ice safety can be established inexpensively by portable aerial vehicles.
Strategy : Using multiple different sensor systems, we will investigate the correlation of UAV sensor data with samples of ice thickness. This will result in a learned relationship between the predictor and target variables. This in turn determines acceptance of the hypothesis.
|
|
where the learning problem is defined as: y = P(a)
y is the direct measurement of ice thickness a is the predictor variable from UAV based-sensors P is the learned relationship between y and a |
1. [Requirement]
Target Variable: Deterministic measure of ice thickness
Strategy : Take samples benchmarking/calibrating thickness (base of correlation)
2. [Requirement]
Predictor Variables : Data likely to correlate with target data
Strategy : Collect data from sensors that correlates with thickness of ice, such as presence of overflow, water, cracks, heat, density of snow or ice
3. [Methodology]
Statistical Analysis, aka “Data Science”
Strategy: Correlate target and predictor variables to determine relationship
4. [Methodology]
Visualize trends
Strategy : Geospatially map collected data, correlations, and photography
Electronic technologies are known to decrease in cost as production costs decrease, scale increases, standards emerge, and platforms become commoditized. For this particular project, the change in surveying cost from only 8 years ago is extreme. UAV surveying has never been more financially accessible and convenient. These costs are expected to decrease even further as a result of software development specifically supporting UAV surveying data analysis.
In short, UAVs and open source software generally provide a 93.7% reduction in cost of surveying technology. This difference is even greater in Arctic Alaska, where fuel and aircraft costs are always higher than average.
|
New Technologies |
Traditional Technologies |
Advantages of New Technology |
Cost Change |
|
“UAV” Unmanned Aerial Vehicle Owned |
Helicopter, Plane Rental |
Inexpensive (comparatively)
Closer to ground (~10 ft)
No risk of human harm |
$1k/hr [2] → cost of UAV ($500-$5,000) |
|
GPR Sensors (2018) |
GPR Sensors (2010) |
Cheaper (Moore’s Law) Lighter Faster |
|
|
Open source statistical software |
Proprietary statistical software |
Open source Widely used and tested Transparent source code |
$2k [5] → $0 |
|
Open source geospatial software |
Proprietary geospatial software |
Open source Widely used and tested Transparent source code |
$2,500 [6] → $0 |
|
Cloud data storage (2018) |
Cloud data storage (2010) |
Cheaper Diversified and new products |
(Amazon S3) $0.110/GB/mo [7] → $0.023/GB/mo |
|
Cloud hosting & compute (2018) |
Cloud hosting & compute (2010) |
Cheaper Diversified and new products |
(EC2 m2.4xlarge) $2.00/hr [8] → $0.24/hr |
|
|
|||
|
Estimate A: Traditional Technologies Estimate B: Assume rental of GPR unit in 2010 |
A $38,551 B $14,551 |
||
|
Estimate: New Technologies |
$910 |
||
|
Cost difference (not inclusive of human labor) Example: 4-hour land survey, 20 hours compute, 100 GB data
|
2.4 - 6.3% of 2010 costs
93.7% cost reduction |
Beyond a validation of the hypothesis, the following will result from the project:
Kotzebue airspace, March 2018
March / April 2018
|
Phase |
Dates |
Outcome |
|
1a. Calibration and Data Testing |
2 days |
Calibrate new sensor system. Survey ice near Anchorage, river and ocean. De-risks issues in onsite. (UAV) |
|
1b. Site pre-identification |
5 days |
Identify potential sites for surveying with indigenous residents and climatologists based on travel routes and safety concerns. (Journalism) Some locations contingent on FAA approval. (UAV) |
|
2. (Onsite) Surveying and Interviews |
3 days April 14-17 |
Onsite conversations with locals, hand-mapping routes (Journalism) Survey identified sites (UAV) |
|
3. Data Processing |
2 weeks |
Process and produce maps of collected data (Data processing) Statistical processing, correlation, metric-based validation (Data Science) |
|
4. Journalism |
3+ weeks |
Write narrative and conclusions for a) lay audience and b) scientific/tech development report (Journalism) |
|
5. Presentation |
4/18+ |
Publish, present findings |
Luminant Data is an Artificial Intelligence Consultancy specializing in rapid feasibility testing and tech adoption life cycles for custom-built machine learning products. Founder: Clare Corthell<EMAIL_ADDRESS>K2 Dronotics is an Alaskan drone UAV service company specializing in engineering inspections, custom payloads, fleet pilot training, GIS, and analysis. Founders: Ben Kellie, Nick Kellie<EMAIL_ADDRESS>This project is uniquely accessible to the teams given their expertise in new low-cost, non-proprietary technologies, Luminant Data in statistical modeling, K2 Dronotics in UAV Surveying. The team can deliver the project at approximately 15-20x less expense than other groups, consultants, and technologies.
Minimum budget (travel + materials): $3,000
Target budget (travel, materials, nominal hours): $10,000
If the team validates the hypothesis that it is possible to estimate ice safety with survey data acquired via UAV-mounted sensors, we would look to utilize this data in the most impactful way possible: warn travelers of specific areas of dangerous ice and provide alternative routes in a timely and consumable manner.
Scientists and communities confirm the trend of a year over year decrease in ice extent, which places a greater reliance on routine surveying and mapping of safe transit routes for communities across the Arctic, not just in Alaska. We can close that gap at a low cost and provide communities with tools to safely rely on critical natural infrastructure such as ice roads.
Source: MN DNR
|
Climate Change Public Safety and Infrastructure Scientific Data Collection Technology for Alaska |
an alaskan tech collaboration
|
[1] Eicken, Hajo & Mahoney, Andrew. (2015) Sea Ice: Hazards, Risks, and Implications for Disasters. 381-401.
[4] See PiCoR $400 https://www.xethru.com/blog/posts/picor-ice
[5] Example: Mathematica $1890 https://www.wolfram.com/mathematica/pricing/industry-individuals.php
[6] Industry Standard: ESRII Arc-gis http://www.cloudpointgeo.com/blog/blog/2014/5/9/a-summary-of-arcgis-platform-and-products
[9] Source: InsideClimate News 2/17/18 https://insideclimatenews.org/news/17022018/arctic-sea-ice-record-low-extent-alaska-bering-hunting-whales


The client had a renting apartment business that was about to grow from 10-15 apartments in Warsaw to around 200 in different Polish cities within one year. They faced the challenge of mantaining customer service quality, their main strength. We were asked to create an app that helped on this process and also gave extra value to their service.
We set a meeting to start the conversation, then we made a list of facts and challenges about the project and then ideated around possible features for the app together.
In order to better understand what people like and expect from this kind of service we conducted several qualitative interviews to different users.
We found two descrete types of traveler.
For business people traveling its more like a rutine, they don’t want to be worried by details on the booking. They look for straight forward experiences, and tend to go back to the same places if satisfied.
On the other hand, tourist declared to spend more time looking for the right fit. They appreciate more other faciliies like extra information or 24/7 customer attention.
There seemed to exist a generalised feeling of uncertainty about what the apartment and its access going to be.
We did a short list of the main features for this product and gave it a basic architecture.
Based on that structure we made a complete flowmap with a five screens navigation. Four of them represent different the steps of the journey: booking, pack, travel and home. The fifth tab in the navigaion bar would be the profile.
Finally, we designed the UI for the main screens and created a small animated prototype with them.
Do you want to know more?
Feel free to contact me on
puapicasso@gmail.com


This sample app demonstrates how to test an eCall session.
Also see the eCall Service
The eCallDemo
app starts a test eCall session using the Legato eCall API and the position data returned by the Legato Positioning API.
The 'trig' sample utility shows how to trigger the eCallDemo app to start the eCall session.
The sample app uses ecallApp_StartSession()
API to start a test eCall session.
You can call ecallApp_StartSession()
with the number of passengers as a parameter to start the session.
This App uses the configuration tree to retrieve the following data:
$ config get eCallDemo:/ / settings/ psap<string> == <PSAP number> hMinAccuracy<int> == <minimum horizontal accuracy value> dirMinAccuracy<int> == <minimum direction accuracy value>
You can set them by issuing the commands:
$ config set eCallDemo:/settings/psap <PSAP number> $ config set eCallDemo:/settings/hMinAccuracy <minimum horizontal accuracy value> int $ config set eCallDemo:/settings/dirMinAccuracy <minimum direction accuracy value> int
These are the config tree settings needed for the eCall sample app:
config set eCallDemo:/settings/psap<PHONE_NUMBER> config set eCallDemo:/settings/hMinAccuracy 100 int config set eCallDemo:/settings/dirMinAccuracy 100 int
This is the config tree database path for the sample app:
/ modemServices/ eCall/ systemStandard<string> = <eCall system> msdVersion<int> = <MSD value> vehicleType<string> = <vehicle type> vin<string> = <VIN> propulsionType/ 0<string> = <propulsion type> 1<string> = <propulsion type> ...
This is a config tree path setting example:
config set /modemServices/eCall/systemStandard PAN-EUROPEAN config set /modemServices/eCall/msdVersion 1 int config set /modemServices/eCall/vehicleType Commercial-N1 config set /modemServices/eCall/vin WM9VDSVDSYA123456 config set /modemServices/eCall/propulsionType/0 Diesel
This utility triggers the eCallDemo application.
Run trig
like this:
$ execInApp eCallDemo trig <number of passengers>
Copyright (C) Sierra Wireless Inc. Use of this work is subject to license.


You can view the raw script output, or the Unit Test XML which we've processed (via XSL) to a pretty report which is also in testdox format.


blocks.js (dev)
Set the edges label
Set the block infos
Set the block descriptions
Resize the div
Hide icons
Stress Test!


To check the current version
The kernel is universally detected with 'uname': $ uname -or 2.6.18-128.el5 GNU/Linux


This sample demonstrates handling 'select' events generated by XRInputSources to create clickable objects in the scene. Back


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#Please enter URLs pointing maven POMs or jars #Example1 Direct POM // Default repo will be used for loading the artifacts #http://repo1.maven.org/maven2/com/google/guava/guava/11.0/guava-11.0.pom #Example2 Maven repo,POM // All the artifacts will be downloaded from the given repo #http://repo1.maven.org/maven2,http://repo1.maven.org/maven2/com/google/guava/guava/11.0/guava-11.0.pom #Example3 Direct JAR from remote #http://myhost:port/my.jar #Example4 Direct JAR from local file system #file:/customer/scratch/my.jar
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