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15-Feb-19 09:54 AM
[dscrdvrsc] <fng77> Yes. This is apparently a factor. Difficulty will rise fast when these things hit the market. Something I forgot about completely myself.
[dscrdvrsc] <Cuttlebit> Yes indeed, difficulty will increase along with availability of higher hashrate units.
[dscrdvrsc] <Cuttlebit> However CPUs will likely get a good hashrate bump in the next generation. With 7nm Ryzen on the immediate horizon
[dscrdvrsc] <Cuttlebit> And also better efficiency due tot the die shrink
[dscrdvrsc] <boxalex> @fng77 as said allready, i have invested a lot of time in doing researching on hardware and geographical centralizaton due electricity prices. Difficulity is the factor that forces out ALL the miners (expect a handfull hardcore miners) that live in higher electricity regions. The world average electricity price is around 13 cents per kw/h. The higher the difficulty gets the more miners from higher electricity price regions get forced out.
[dscrdvrsc] <boxalex> @Cuttlebit , i assume the same will happen to the next generation FPGAs someone will build immediatly after it's clear that FPGAs are tolerated on the Verus network. And than again, while eventually, if we take it for given that the next cpu's will have better hashrate, i'am pretty sure they can't compare in MH/s per Watt, and that's the important point.
[dscrdvrsc] <boxalex> Have in mind currently the best Ryzen's are 3.25 less electricity efficient compared to the first FPGA!!!
[dscrdvrsc] <Ginasis Mining Pools> @boxalex there is also possible improvement in current cpu miners available. We are on very early releases don’t forget
[dscrdvrsc] <Ginasis Mining Pools> @boxalex you also mention an 8700k pulling 6-7MHs while I run this and pull 16-17MHs
[dscrdvrsc] <Ginasis Mining Pools> And other CPUs like Ryzen and TR being better for mining that are mainstream.
[dscrdvrsc] <Ginasis Mining Pools> So we are not looking at 15-20x the performance.
[dscrdvrsc] <boxalex> @Ginasis Mining Pools , how much improvement do you have on CPU mining? You have right now to close a gap of x3.25. Means the Ryzen 5 2600 for example must either mine 17.5 MH/s at 30 Watt or around 55 MH/s at 65W. That's not realistic. Actually my bet goes that the FPGAs are getting even more efficient with some tweaking....
[dscrdvrsc] <Cuttlebit> Yes, in the performance per department it FPGAs will likely always remain superior
[dscrdvrsc] <boxalex> I said i mine with an 8700k WHILE working
[dscrdvrsc] <Ginasis Mining Pools> I can do basically anything but game while mining
[dscrdvrsc] <boxalex> and use only 5 threads, that's what i call average joe mining.
[dscrdvrsc] <Ginasis Mining Pools> you can use 8-10 and still have good CPU performance
[dscrdvrsc] <boxalex> @Ginasis Mining Pools , that's you, again, i'am talking about average joe miners that run mining beside working, gaming on their PC. It shouldn't be a question on what's possible for a single person but what the majority average joe miners are doing.
[dscrdvrsc] <Ginasis Mining Pools> You cannot hinder progression based on a small portion of a community
[dscrdvrsc] <Ginasis Mining Pools> There is always going to be something bigger and better than what you currently have.
[dscrdvrsc] <boxalex> And again, i took the 8700k as an example as i have first hand data for it. If you want, compare it to an i3 whatever version to compare to the FPGA. These guys literally can stop now mining if difficutly goes up.
[dscrdvrsc] <boxalex> I don't want to stop anything. I'am just adding important information and showing the full big picture in advance on what happens in future. Nothing more, nothing less. I even didn't say don't let FPGAs on, that's not my point or incentive. Others have to make decisions. I just wanted to add more information, that's it.
[dscrdvrsc] <Cuttlebit> I’d imagine serious miners looking to turn the maximum profit will turn to FPGAs. However the goal will be to strike a balance between CPU, FPGA and GPU miners
[dscrdvrsc] <boxalex> @Cuttlebit , i understand the goal and hence, it's the reason i'am here even and interested in verus. Just my personal opinion is that a balance should be in the range of 1.5. Everything above is disbalance, but than again, that's just my personal opinion. There is exactly 0 chance a miner can compete with a 3.25+ difference factor on efficiency. Leave alone the 2 cent china miner compared to the 35 cent per kw/h german miner.
[dscrdvrsc] <Cuttlebit> I think maybe GPUs need to get a bump which places them in between CPUs and FPGAs
[dscrdvrsc] <CryptoYeti> Morning all.
[dscrdvrsc] <Cuttlebit> Heya
[dscrdvrsc] <CryptoYeti> @boxalex Yes, the FPGA is the most efficient solution for mining VERUSHASH v2.0 but..
[dscrdvrsc] <CryptoYeti> We are not planning on our miners nerfing the network like has happened before
[dscrdvrsc] <CryptoYeti> We are limiting sales to prevent this
[dscrdvrsc] <CryptoYeti> We also have a 6 boards per customer rule to support decentralisation7
[dscrdvrsc] <boxalex> @CryptoYeti , this raises 2 more problems
[dscrdvrsc] <CryptoYeti> Granted, difficulty will be affected
[dscrdvrsc] <boxalex> 1.) limited access to hardware is automaticly favouring centralization
[dscrdvrsc] <boxalex> 2.) that
[dscrdvrsc] <CryptoYeti> but not like it was on V1 by previous FPGAs
[dscrdvrsc] <boxalex> 's your fpga, how will garantee for others?
[dscrdvrsc] <boxalex> *who
[dscrdvrsc] <CryptoYeti> Unfortunately, as much as I would like others to adopt our ethics I'm not sure thats possible
[dscrdvrsc] <boxalex> As said, that's the problem
[dscrdvrsc] <CryptoYeti> totally agree
[dscrdvrsc] <CryptoYeti> which is why we have approached this as ethically as possible
[dscrdvrsc] <GlorymanRTS> @boxalex thanks for your input buddy. Here is my opinion on the issue. CPU compared to FPGAS
1. The CPU mining has zero investment requirements. You either hand a good cpu for work or gaming.
2. CPU 60mhs/250w thus .24mhs/watt
3. FPGA 70mhs/80w thus 0.875mhs/watt
4. There for improvement in efficiency is x3 but hardware is about 33% of the price.

Difficulty changers
1. Firstly, the difficulty changes 33%-50%, based on the big jumps in price, because of the CPU farms from China.
2. The investment opportunity for the FPGAs is so minimal it seems the effect will be minimal. If 50% of the hash becomes FPGAs and force farms out that will be good and might lead to higher rewards because of less dumping.
Conclusion is that it could go either way with regards to difficulty changes benefiting or harming cpus, but it will be minimal.
Centralisation
1. With regards to the price of the electicity for getting coins for decentrailisation, its better for cpus to be less efficient so that the hash is less centralised around china's cpu farms.
2. I think that these FPGA make is eaiser for hobbyist miners because these fpgas are for normal pcs and are plug and play.
3. The efficiency of the FPGA miners actaually makes it easier for people in developed countries to run them to mine verus.
Conclusion, FPGAs make the hashing power more decentalised.
(edited)
[dscrdvrsc] <boxalex> Look, i have myself an bigger asic facility and it's the biggest mistake i ever made since participating in crypto. I'am coming from the ZEC community and than back i supported asics, shame on me, as said, biggest mistake. As i saw than back the full impact i decided to research every single impact mining hardware as and most important the impact of electricity prices. Most underestiminate them and than wonder at a given point while the top mining pools are in china and the whole network is dominated by chinese miners.
[dscrdvrsc] <CryptoYeti> dude. Ash (the other founder) and myself are miners too. CPU/GPU/ASIC. We do understand the frustrations
[dscrdvrsc] <CryptoYeti> this is why as hatrdware devs we are trying really hard to be as ethical as possible
[dscrdvrsc] <CryptoYeti> Someone was always going to develop FPGA for VERUS. Personally i'd much rather an ethical team doing that.
[dscrdvrsc] <boxalex> @GlorymanRTS , the inital price has about 0 effect, hence it should be the least important way after difficulty and most important electricity effiency. About the dificutly changes. Based on the FPGA miner with limited availability, maybe, but it won't be only this FPGA for sure. If you give me numbers on how many units are going to be sold for ALL batches i will make a calculation on how much difficulty will raise. As i have even no numbers for batch 1 i hope we get some numers right now.
[dscrdvrsc] <boxalex> @CryptoYeti , how many units is batch 1 and how many batches are planned?
[dscrdvrsc] <CryptoYeti> Batch 1 is 500 units
[dscrdvrsc] <CryptoYeti> We are likely to only do 2 batches.
[dscrdvrsc] <CryptoYeti> We'll be watching the markets and charts and mostly likely adjust up/down as things pan out
[dscrdvrsc] <CryptoYeti> No one can stop FPGA's hitting the network again, but I do hope we can do this in a better manner than others have.
[dscrdvrsc] <GlorymanRTS> initial price is important buddy. 0 investment means you can take profit even if minimal. Any other investment is a risk that needs to be paid off. I think that FPGAs for verus are different because miners that are trying to get maximum profit wont be on verus coin. There are just other coins to snipe that are way more profitable. So, the impact won't be as high. Also, It will mainly be people who are interested in verus coin that get these FPGAs and the will be more likely to hold rather than dump. So, increases in price are more likely and hashrate more secure.
[dscrdvrsc] <GlorymanRTS> 500 of these little FPGAs is tiny!
[dscrdvrsc] <GlorymanRTS> the black miner F1 had thousands of super powerful FPGAs
[dscrdvrsc] <Ginasis Mining Pools> with 10x the chips in each xD
[dscrdvrsc] <boxalex> @GlorymanRTS , the 0 investment has it's very advantages as well. More miners, more community, more decentralization, fairer distribution, fair harware availability and a lot more. Just as an counter argument.
[dscrdvrsc] <GlorymanRTS> these new fpgas are equal to my cpu. The last FPGAs were like 60 x 1080 tis. Huge difference.
[dscrdvrsc] <boxalex> @GlorymanRTS , i have doubts you are the average joe miner than....
[dscrdvrsc] <GlorymanRTS> @boxalex 0 investment also means that 50% of the hash rate if often Chinese cpu farm dumpers. So, it can go both ways
[dscrdvrsc] <boxalex> agree, that's the POW problem in generally.
[dscrdvrsc] <GlorymanRTS> @boxalex I mine with 2x AMDs and a 2990wx. I literally have a work/gaming station. No specific mining hardware. This will be my first time I get specific mining hardware.
[dscrdvrsc] <GlorymanRTS> So, FPGAs will be better for the difficulty and I believe they will improve profitability for CPU miners
[dscrdvrsc] <GlorymanRTS> I could be wrong, but that is my opinion.
[dscrdvrsc] <boxalex> impossible. CPU miners are getting forced out on higher electricity regions. I didn't make a calculation yet, but my guess is that every CPU miner above 10 cents per kw/h won't stay profitable after 1st batch is online..... Current price in mind.
[dscrdvrsc] <boxalex> just vague, don't nail me on that one
[dscrdvrsc] <boxalex> it's actually and elemtary logical conclusion: The more hashrate => the higher difficulty => the more shifting towards low electricity regions. 100% garantee!
[dscrdvrsc] <GlorymanRTS> This is ideal. If we can get all the cpu farms out because it is not efficient enough as you said then 50% of the POW coins wont be dumped. If cpu miners are mining at 0.15 per kw/h, they can accumulate, stake and price will gradually get higher.
[dscrdvrsc] <boxalex> that's not how it works mate
[dscrdvrsc] <GlorymanRTS> 100% not guaranteed. You underestimate the 50% dumping and how it effects the price. its just how it works mate
[dscrdvrsc] <boxalex> you can't force out the 2 cent per kwh chinese miner, you force out the average joe miners
[dscrdvrsc] <GlorymanRTS> @boxalex we force them out every other week
[dscrdvrsc] <GlorymanRTS> 150GH falls to 75GH-90GH every time they dump the coin
[dscrdvrsc] <GlorymanRTS> You forget that CPU farm miners will mine something else if slightly less efficient
(edited)
[dscrdvrsc] <boxalex> I don't forget it and i don't have in mind the autoswitching profit miners, which is a problem for itself actually.
[dscrdvrsc] <GlorymanRTS> Like i said, I'm still confident about my conclusions made above. FPGAs are good for the project/community and cpu miners.
(edited)
[dscrdvrsc] <boxalex> That's your opinion and that's ok, i have gone through this allready with ZEC with 1000's of hours research done by now. Have always in mind that an FPGA is actually an ASIC itself, no matter we call it here a FPGA.
(edited)
[dscrdvrsc] <Cuttlebit> I think if FPGAs were only 1.5x more power efficient than CPUs, then no one will get them right? Unless you are running a super farm where every watt saves you big time.  I actually think that the investment prospects of these fpgas is so slim that the only people it makes sense for is the people believe in veruscoin long term. This is also a good thing. Any other miner for profit investor would probably buy else where.
(edited)
[dscrdvrsc] <Cuttlebit> GPUs have the specific application of graphics acceleration, and CPUs have the specific application of doing everything else
[dscrdvrsc] <0x03> 'amd64 asic'
[dscrdvrsc] <GlorymanRTS> RAM is also asics
[dscrdvrsc] <Cuttlebit> lol yes technically
[dscrdvrsc] <GlorymanRTS> my trainers are also asics too
[dscrdvrsc] <0x03> 'yes i do own ASICs. 2 TI-80s'
[dscrdvrsc] <CryptoYeti> And an FPGA will never be an asic. They’re not application specific
[dscrdvrsc] <CryptoYeti> My Z9’s are ASIC’s, soon to be doorstops though
[dscrdvrsc] <Cuttlebit> I guess the best analogy for FPGAs. Is it's like an interpreter for hardware. If 'ASICs' are C++ then FPGAs is like python
[dscrdvrsc] <0x03> oh, so broken IP conference 'spider' phones finally have a successor in being doorstoppers
(edited)
[dscrdvrsc] <0x03> thats good to hear
[dscrdvrsc] <GlorymanRTS> The last FPGAs were snakes in the grass, that's for sure.
[dscrdvrsc] <0x03> @CryptoYeti i wonder, is there a maximum amount of FPGA units per order/person in your first batch?
[dscrdvrsc] <boxalex> @GlorymanRTS , i get where you are coming from and your logic. But from history and experience it's not how it will work (Doesn't exclude that it could work!). From experience it's like: 1.) After you have an initial investment most people want to ROI. 2.) The more volatile a given currency the higher the chance coins gets dumped. 3.) The higher the difficutly the higher the sell pressure to achieve ROI. This said i wouldn't count on that FPGA miners aren't looking for profit and ROI. One good thing with CPU mining is that as there is no initial investment the sell pressure should be lowest.
[dscrdvrsc] <0x03> or the other way around, have there already been orders of like 100 boards at once?
[dscrdvrsc] <boxalex> He said earlier 500 FPGA for 1st batch, limit to 6 per customer.
[dscrdvrsc] <CryptoYeti> Biggest order is 6 cards. Thats the limit


Not all indicators share the same base type(T), so you may not be able to plot them together since some indicators require points while others require TradeBars
.
// Plot indicators that extend the "Indicator" type PlotIndicators("All Indicator Values", sma, rsi); Plot("Current Indicator Values", sma, rsi); // Plot indicators that extend the "TradeBarIndicator" type PlotIndicators("All Indicator Values", atr, aroon); Plot("Current Indicator Values", atr, aroon);
# Plot indicators that extend the "Indicator" type self.PlotIndicators("All Indicator Values", sma, rsi) self.Plot("Current Indicator Values", sma, rsi); # Plot indicators that extend the "TradeBarIndicator" type self.PlotIndicators("All Indicator Values", atr, aroon) self.Plot("Current Indicator Values", atr, aroon);
If your indicator plots are complex, call the Plot
method with one indicator and plot its .Current.Value
. For more information about plotting, see Charting.


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Notebooks
Story: Various foods and the protection of the rain for a fungus
Various foods and the protection of the rain for a fungus
Title
Various foods and the protection of the rain for a fungus
Collection
Summary
!haken, a food resembling 'Bushman rice' is also used by Bushmen. (L VIII.-9. 6789 rev., note). That !haken above which a certain fungus grows is given to the old people. (L VIII.-11. 6945 rev.-6954 rev.). The !gu !gu grows out of the !haken and is not eaten. The method of obtaining and administering !haken to the elderly (young people do not eat it) is also discussed.
Comments
1) This story is found in Book VIII-11
Contributors
|han≠kass'o (Klein Jantje) (VIII)
Date
9 June 1878
Categories
The Rain and Rain's water, Custom and daily life, Plants and animals
Keywords
rain (and the collecting of different foods) , rain (protection of, for a fungus) , rain (its actions) , rain (keeps people away from their homes) , rain (its clouds come quickly) , rain (on the hunting-ground) , rain (and young men) , rain (and going home quickly from the hunting-ground) , rain (places to shelter from) , rain (and bewitchment) , rain (observances relating to) , food (and the protection of the rain for a fungus) , food (different types of) , food (and hunting) , food (implements and utensils used in preparing and eating) , food (sharing and dividing of) , food (the preparation of) , food (digging for) , food (only eaten by the old) , food (the eating of !haken) , food (eating the !gu !gu fungus) , food (the names of) , food (collecting different) , fungus (called !gu !gu) , fungus (grows above !haken) , fungus (eaten only by old people) , fungus (young people do not eat it) , fungus (protected by the rain) , digging (for food) , digging (for !haken) , digging (various foods and the protection of the rain for a fungus) , hunting-ground (and hunting observances) , hunting-ground (quickly returning from) , hunting-ground (rain on) , hunting-ground (bewitchment on) , hunting-ground (various foods and the protection of the rain for a fungus) , old people (eat a fungus called !gu !gu) , implements (used for preparing and eating different foods) , implements (various foods and the protection of the rain for a fungus) , utensils (used for preparing and eating different foods) , utensils (various foods and the protection of the rain for a fungus) , sharing (and dividing food) , sharing (various foods and the protection of the rain for a fungus) , names (of various foods eaten and a fungus protected by the rain)
Story Pages
6945opp-6945v


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The transpose of conv3d
.
tf.compat.v1.nn.conv3d_transpose( value, filter=None, output_shape=None, strides=None, padding='SAME', data_format='NDHWC', name=None, input=None, filters=None, dilations=None )
This operation is sometimes called "deconvolution" after Deconvolutional
Networks,
but is really the transpose (gradient) of conv3d
rather than an actual
deconvolution.
value
: A 5-D Tensor
of type float
and shape
[batch, depth, height, width, in_channels]
.filter
: A 5-D Tensor
with the same type as value
and shape
[depth, height, width, output_channels, in_channels]
. filter
's
in_channels
dimension must match that of value
.output_shape
: A 1-D Tensor
representing the output shape of the
deconvolution op.strides
: A list of ints. The stride of the sliding window for each
dimension of the input tensor.padding
: A string, either 'VALID'
or 'SAME'
. The padding algorithm.
See the "returns" section of tf.nn.convolution
for details.data_format
: A string, either 'NDHWC'
or 'NCDHW
' specifying the layout
of the input and output tensors. Defaults to 'NDHWC'
.name
: Optional name for the returned tensor.input
: Alias of value.filters
: Alias of filter.dilations
: An int or list of ints
that has length 1
, 3
or 5
,
defaults to 1. The dilation factor for each dimension ofinput
. If a
single value is given it is replicated in the D
, H
and W
dimension.
By default the N
and C
dimensions are set to 1. If set to k > 1, there
will be k-1 skipped cells between each filter element on that dimension.
The dimension order is determined by the value of data_format
, see above
for details. Dilations in the batch and depth dimensions if a 5-d tensor
must be 1.A Tensor
with the same type as value
.
ValueError
: If input/output depth does not match filter
's shape, or if
padding is other than 'VALID'
or 'SAME'
.


|
Pip-Services-Components-Dotnet
|
Data object to store captured operation traces. This object is used by CachedTracer. More...
Public Attributes | |
| DateTime | Time |
| The time when operation was executed More... | |
| string | Source |
| The source (context name) More... | |
| string | Component |
| The name of component More... | |
| string | Operation |
| The name of the executed operation More... | |
| string | CorrelationId |
| The transaction id to trace execution through call chain. More... | |
| long | Duration |
| The duration of the operation in milliseconds More... | |
| ErrorDescription | Error |
| The description of the captured error See ErrorDescription, ApplicationException More... | |
Data object to store captured operation traces. This object is used by CachedTracer.
| string PipServices3.Components.Trace.OperationTrace.Component |
The name of component
| string PipServices3.Components.Trace.OperationTrace.CorrelationId |
The transaction id to trace execution through call chain.
| long PipServices3.Components.Trace.OperationTrace.Duration |
The duration of the operation in milliseconds
| ErrorDescription PipServices3.Components.Trace.OperationTrace.Error |
The description of the captured error See ErrorDescription, ApplicationException
| string PipServices3.Components.Trace.OperationTrace.Operation |
The name of the executed operation
| string PipServices3.Components.Trace.OperationTrace.Source |
The source (context name)
| DateTime PipServices3.Components.Trace.OperationTrace.Time |
The time when operation was executed


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Simon Birch by Curtis Edmonds --<EMAIL_ADDRESS>Movies cheat, everyone knows that. There's a whole industry dedicated to special effects, the smoke and mirrors filmmakers need to create whatever illusions they need to tell their story. However, we've gotten so used to looking at the visual effects that sometimes we forget the other tricks of the Hollywood trade. Simon Birch has no visual gimmickry to speak of. The only special effect used is not a model or a CGI bluescreen computerized image but an idea -- the idea of destiny. Unlike giant cruise ships or frothing tyrannosaurs, destiny is cheap. All you have to do is write the script so that you tip the audience off to what's going to happen. It's called foreshadowing -- and if foreshadowing were eyeshadowing, Simon Birch would look like Tammy Faye Bakker.
The movie starts off in a graveyard, (in a town called Gravestown, no less) with narrator Jim Carrey standing over the graves of his mother (Ashley Judd) and his childhood friend Simon Birch (Ian Michael Smith). You would think that would be enough to inform us of the fate of the characters, wouldn't you? Well, you'd be wrong. When the time comes for the mother to die, it's set up by more earnest, serious narration (yes, it's that Jim Carrey) and an agonizingly tedious slow motion shot of the errant foul ball that hits her in the head and kills her. In fact, it's so slow that the dimmer members of the audience could be heard to say, "Hey, that lady's gonna get hit in the head with that baseball."
And if the clunky foreshadowing of the plot weren't enough, we are left with the character of Simon Birch.  He is the movie's chief standard-bearer for the idea of destiny. He tells everyone that he is God's chosen instrument, and that God has destined him to be a hero. He is called on to make oracular pronouncements from time to time -- he tells poor Oliver Platt that he doesn't think he has long to live, just as if he's read the script. Predictably, this attitude gets annoying. In fact, I could start the next twelve sentences with the word "predictably", because so much about the plot is predictable -- and what's not given away in the storyline is given away by the narration or the background music.
Having said that, it's still possible to make a good movie that's predictable, just as it's possible to enjoy a trip to somewhere you've been a thousand times. Simon Birch ends up being a decent movie, even if it can't overcome the limitations of its script. The heart of the movie is the relationship between Simon and his best friend Joe (Joseph Mazzello). They're both very gifted actors who happen to be under voting age. When you think about it, it's a little odd. You have big-time Hollywood producers forking over millions of dollars to make a movie and placing their trust in two kids who can't drive. The best thing about Simon Birch is that Smith and Mazzello prove that they're worthy of such trust.
The first thing that I noticed about Smith was that he wasn't on the movie poster. The poster depicts a small baby being held out of a pool of water by two disembodied hands. Smith is about 3 feet tall, with teeth jutting out at ninety-degree angles, and while he's no poster boy, we're constantly reminded that he's "cute, like a little doll". And he is cute, the audience likes him, and that goodwill is enough to carry him through some very odd moments -- such as when he stands up in church and asks, "What do coffee and donuts have to do with God?" Smith does a superb job in a role that would be difficult for an actor of any age.  (It's sort of like a Wonder Years episode where Fred Savage's mom dies.) On the surface, there's not a lot of emotional depth to his character -- but what there is, he brings out. Mazzello does himself proud in his first major leading role
In comparison, the adult parts are drab. Ashley Judd is luminous as the doomed mother, but she's not onscreen long enough to make any kind of impression. Oliver Platt is the designated Good Guy, and he's given little to do other than be good. Only David Strathairn makes any kind of impression as the erring New England minister.
If life is, as Forrest Gump tells us, like a box of chocolates, Simon Birch is a Hershey bar. You know what you're going to get -- but it's good and sweet and something of a guilty pleasure, and can be enjoyed for what it is.
Rating: B-
--
-- Curtis Edmonds<EMAIL_ADDRESS>Movie Reviews: http://us.imdb.com/M/reviews_by?Curtis+Edmonds
Hollywood Stock Exchange: http://www.hsbr.org/brokers/blueduck/
"Tabasco sauce is to bachelor cooking what forgiveness is to sin."
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Related links: index of all rec.arts.movies.reviews reviews


Parameters for Cell class.
More...
#include <cell.hpp>
|
|
double | GAMMA_SHAPE = 1.0 |
| | \(k\)
|
| |
|
double | PROB_SYMMETRIC_DIVISION = 1.0 |
| | \(p_s\)
|
| |
|
unsigned | MAX_PROLIFERATION_CAPACITY = 10u |
| | \(\omega_\text{max}\)
|
| |
|
double | RATE_BIRTH = 0.0 |
| | \(\mu_\beta\)
|
| |
|
double | RATE_DEATH = 0.0 |
| | \(\mu_\delta\)
|
| |
|
double | RATE_ALPHA = 0.0 |
| | \(\mu_\alpha\)
|
| |
|
double | RATE_MIGRA = 0.0 |
| | \(\mu_\rho\)
|
| |
|
double | MEAN_BIRTH = 0.0 |
| | \(\bar s_\beta\)
|
| |
|
double | MEAN_DEATH = 0.0 |
| | \(\bar s_\delta\)
|
| |
|
double | MEAN_ALPHA = 0.0 |
| | \(\bar s_\alpha\)
|
| |
|
double | MEAN_MIGRA = 0.0 |
| | \(\bar s_\rho\)
|
| |
|
double | SD_BIRTH = 0.0 |
| | \(\sigma_\beta\)
|
| |
|
double | SD_DEATH = 0.0 |
| | \(\sigma_\delta\)
|
| |
|
double | SD_ALPHA = 0.0 |
| | \(\sigma_\alpha\)
|
| |
|
double | SD_MIGRA = 0.0 |
| | \(\sigma_\rho\)
|
| |
Parameters for Cell class.
The documentation for this struct was generated from the following file:


About Us
California is a state in the Pacific Region of the United States.
With over 39.3 million residents across a total area of approximately 163,696 square miles (423,970 km2), it is the most populous U.S.
state and the third-largest by area, as well as the world's thirty-fourth-most-populous subnational entity.
The Greater Los Angeles area and the San Francisco Bay Area are the nation's second- and fifth-most-populous urban regions, with more than 18.7 million and 9.6 million residents respectively.
California is also the most populated subnational entity in North America, and has its state capital in Sacramento.
Los Angeles is California's most populous city, and the country's second-most-populous, after New York City.
California also has the nation's most populous county, Los Angeles County, and its largest county by area, San Bernardino County. The City and County of San Francisco is both the country's second most densely populated major city after New York City and the fifth-most-densely populated county, behind only four of the five New York City boroughs.
California's economy, with a gross state product of $3.2 trillion as of 2019, is the largest sub-national economy in the world.
If it were a country, California would be the fifth-largest economy in the world, and the 37th-most populous as of 2020.
The Greater Los Angeles area and the San Francisco Bay Area are the nation's second- and third-largest urban economies ($1.3 trillion and $1.0 trillion respectively as of 2020), after the New York metropolitan area ($2.0 trillion). The San Francisco Bay Area Combined Statistical Area had the nation's highest gross domestic product per capita in 2018 ($106,757) among large primary statistical areas, and is home to four of the world's ten largest companies by market ca and four of the world's ten richest people.
California Governor
Gavin Christopher Newsom (born October 10, 1967) is an American politician and businessman who is the 40th governor of California, serving since January 2019.
A member of the Democratic Party, he previously served as the 49th lieutenant governor of California from 2011 to 2019 and as the 42nd mayor of San Francisco from 2004 to 2011.
Newsom attended Redwood High School and graduated from Santa Clara University. After graduation, he founded the PlumpJack wine store with family friend Gordon Getty as an investor. The PlumpJack Group grew to manage 23 businesses, including wineries, restaurants and hotels.
Newsom began his political career in 1996 when San Francisco Mayor Willie Brown appointed him to serve on the city's Parking and Traffic Commission. Brown appointed Newsom to fill a vacancy on the Board of Supervisors the following year, and Newsom was later elected to the board in 1998, 2000, and 2002.
In 2003, at the age of 36, Newsom was elected the 42nd Mayor of San Francisco, becoming the city's youngest mayor in a century.Newsom was re-elected in 2007 with 72% of the vote.
Newsom was elected Lieutenant Governor of California in 2010 and was re-elected in 2014. He was elected Governor of California in the 2018 election.
Newsom hosted The Gavin Newsom Show on Current TV and wrote the 2013 book Citizenville.


- rand - Variable in class Pokemon
-
- rand - Static variable in class PokemonCollection
-
- randChoice() - Static method in class Tools
-
Returns true or false, randomly
- randomAttack() - Method in class Pokemon
-
Chooses random, affordable attack
- randomPokemon() - Static method in class PokemonCollection
-
Returns a random pokemon from the pokemon ArrayList
Removes the chosen pokemon from the ArrayList
- removePokemon(Pokemon) - Static method in class PokemonCollection
-
Removes pokemon from ArrayList based on name
- resetAllPokemon(Pokemon) - Static method in class PokemonArena
-
Reset Pokemon statistics every turn
- resetBattle() - Method in class Pokemon
-
Resets Pokemon stats at the end of a battle
- resetTurn() - Method in class Pokemon
-
Resets Pokemon stats at the end of a turn


| mut_utf8_locale {rlang} | R Documentation |
Setting a locale's codeset (specifically, the LC_CTYPE
category)
produces side effects in R's handling of strings. The most
important of these affects how the R parser marks strings. R has
specific internal support for latin1 (single-byte encoding) and
UTF-8 (multi-bytes variable-width encoding) strings. If the locale
codeset is latin1 or UTF-8, the parser will mark all strings with
the corresponding encoding. It is important for strings to have
consistent encoding markers, as they determine a number of internal
encoding conversions when R or packages handle strings (see
set_str_encoding()
for some examples).
mut_utf8_locale() mut_latin1_locale() mut_mbcs_locale()
If you are changing the locale encoding for testing purposes, you need to be aware that R caches strings and symbols to save memory. If you change the locale during an R session, it can lead to surprising and difficult to reproduce results. When in doubt, restart your R session.
Note that these helpers are only provided for testing interactively
the effects of changing locale codeset. They let you quickly change
the default text encoding to latin1, UTF-8, or non-UTF-8 MBCS. They
are not widely tested and do not provide a way of setting the
language and region of the locale. They have permanent side effects
and should probably not be used in package examples, unit tests, or
in the course of a data analysis. Note finally that
mut_utf8_locale()
will not work on Windows as only latin1 and
MBCS locales are supported on this OS.
The previous locale (invisibly).
These functions are experimental. They might be removed in the future because they don't bring anything new over the base API.


{% extends "email/template.html" %} {% load i18n %} {% block content %}
{% trans "Your payment has been processed and your tapiriik account is now set up for automatic synchronization. Of course, you can still visit " %}tapiriik.com {% trans "at any time to trigger an immediate synchronization." %}
{% endblock %} {% block plaintextcontent %} {% trans "Your payment has been processed and your tapiriik account is now set up for automatic synchronization." %} {% trans "Of course, you can still visit {{ url|safe }} at any time to trigger an immediate synchronization." %} {% endblock %}


What a management user is permitted to do is determined by the roles to which the user is assigned. A system of includes and excludes based on the user membership determines to which role a user belongs.
A atribuição de um usuário para uma função é considerada se:
As exclusões têm precedência sobre as inclusões.


Earlier, you learned how to find the instantaneous slope of a function at any point. A derivative is a function which, given an x-position, will tell you the slope of the original function at that x-position.
If `f(x)` is the original function, then `f'(x)` (read as "f prime x") is its derivative. So if `f` has a slope of `4` at `x=2`, then `f'(2) = 4`.
Move your mouse along either one of the graphs above. Note how the slope of the tangent line (in the upper graph) always matches the value of the derivative (in the lower graph)...
There are a variety of methods, techniques, and tricks for finding derivatives.
Let's start with a constant function.
`f(x) = 4`Since the value of this function always remains constant, its slope is always zero. Therefore its derivative is always zero. Well, that was easy.
`f'(x) = 0`Next we'll consider a linear function.
`f(x) = 4x`The slope of a linear function is always the same. It is simply the coefficient of `x` - in this case, `4`.
`f'(x) = 4`Now, something more interesting: a quadratic function.
`f(x) = 4x^2`Now we must use a special rule known as the power rule. This is used when deriving any polynomials, not just quadratics.
If the function is `ax^p` where `a` and `p` are constants, then...
Its derivative is `(a*p)x^(p-1)`.
You take the exponent of `x` and "bring it down" so it multiplies the coefficient of `x`. Then the exponent of `x` is decremented by one. Let's derive our example.
`f(x) = 4x^2`This page will be completed in the future.


.size()
or .length()
comparisons with a 0
literal which can be replaced with a call to .isEmpty()
.
Example:
boolean emptyList = list.size() == 0;
After the quick-fix is applied, the result looks like this:
boolean emptyList = list.isEmpty();
Use the table below to add classes for which any .size()
or .length()
comparisons should not be replaced.
Use the checkbox below to ignore any expressions which would be replaced with !isEmpty()
.


bayesquad.gps module¶
Provides classes for Gaussian Process models, including models where a warping of the output space has been applied.
-
class
bayesquad.gps.
GP
(gpy_gp: GPy.core.gp.GP)[source]¶ Bases:
object
Wrapper around a GPy GP, providing some convenience methods and gradient calculations.
All methods and properties of a GPy GP may be accessed directly on an instance of this class, and will be passed through to the wrapped GPy GP instance.
Warning
- The following methods of this class cache their return value for the most recently passed argument:
This is a performance optimisation to prevent duplication of work (e.g. a
WarpedGP
may need to call posterior_mean_and_variance to compute its own posterior mean, and then immediately do so again to compute its posterior Jacobians). The cache is cleared whenever the underlying GP is modified (this is implemented using the observer mechanism provided by GPy). This should mean that a cache hit will only occur if the result of performing the computation again would be exactly the same, but if necessary (e.g. if update_model has been disabled on the underlying GPy GP), it is possible to clear the cache manually by calling the method_clear_cache()
on an instance of this class.Note that the cache is not shared between instances - each instance of this class will have its own separate cache.
See also
GPy.core.gp.GP
-
posterior_hessians
(x: numpy.ndarray) → Tuple[numpy.ndarray, numpy.ndarray][source]¶ Get the Hessian of the posterior mean and the Hessian of the posterior variance.
Given a set of points, return the Hessian of the posterior mean and the Hessian of the posterior variance at each point.
Parameters: x – A 2D array of shape (num_points, num_dimensions), or a 1D array of shape (num_dimensions). Returns: - mean_hessian (ndarray) – A 3D array of shape (num_points, num_dimensions, num_dimensions) if the input was 2D, or a 2D array of shape (num_dimensions, num_dimensions) if the input was 1D. The \((i,j,k)\)-th element is the \((j,k)\)-th mixed partial derivative of the posterior mean at the \(i\)-th point of x.
- variance_hessian (ndarray) – A 3D array of shape (num_points, num_dimensions, num_dimensions) if the input was 2D, or a 2D array of shape (num_dimensions, num_dimensions) if the input was 1D. The \((i,j,k)\)-th element is the \((j,k)\)-th mixed partial derivative of the posterior variance at the \(i\)-th point of x.
Notes
This code deals with up to 4-dimensional tensors and getting all the dimensions lined up correctly is slightly painful.
In the following:
- \(X_*\) is the set of points at which to evaluate the Hessians (i.e. the input to this method). In the code, this is x.
- \(D = \{ X_D, Y_D \}\) is our GP’s data (with \(X_D\) the locations of function evaluations, and \(Y_D\) the values of the function evaluations). In the code, these are X_D and Y_D
- \(n\) is the number of points in \(X_*\).
- \(N\) is the number of points in \(X_D\).
- \(d\) is the number of dimensions.
- \(K\) is the kernel of our GP. In the code, this is self.kern.K.
- \(K_D\) is the matrix with elements \((K_D)_{ij} = K(x_i, x_j)\) for \(x_i, x_j \in X_D\). In the code, \(K_D^{-1}\) is K_D_inv.
- \(K_*\) is the \(n\) by \(N\) matrix with elements \((K_*)_{ij} = K(x_i, x_j)\) for \(x_i \in X_*, x_j \in X_D\). In the code, this is K_star.
- \(m(X_*)\) is the posterior mean at \(X_*\), which is a vector of length \(n\).
- \(V(X_*)\) is the posterior variance at \(X_*\), which is a vector of length \(n\).
The Hessians we return depend on the Jacobian and Hessian of \(K_*\). Since \(K_*\) is a matrix, the Jacobian is a 3D tensor, and the Hessian is a 4D tensor. Writing \(J\) for the Jacobian and \(H\) for the Hessian, we have:
\[ \begin{align}\begin{aligned}\begin{split}J_{ijk} & = & \frac{\partial (K_*)_{ij}}{\partial x_k} \\ & = & \frac{\partial K((X_*)_i, (X_D)_j)}{\partial x_k}\end{split}\\\begin{split}H_{ijkl} & = & \frac{\partial^2 (K_*)_{ij}}{\partial x_k \partial x_l} \\ & = & \frac{\partial^2 K((X_*)_i, (X_D)_j)}{\partial x_k \partial x_l} \\\end{split}\end{aligned}\end{align} \]In the code, \(J\) is kernel_jacobian, and \(H\) is kernel_hessian. These have shape (\(n, N, d\)) and (\(n, N, d, d\)) respectively.
The Hessian of the mean is reasonably straightforward. We have:
\[\begin{split}m(X_*) & = & K_* K_D^{-1} Y_D \\ m(X_*)_i & = & (K_*)_{ij} (K_D^{-1})_{jk} (Y_D)_k \\ \frac{\partial^2 m(X_*)_i}{\partial x_k \partial x_l} & = & H_{ijkl} (K_D^{-1})_{jm} (Y_D)_m \\\end{split}\]The Hessian of the variance is more complicated. It is the difference of a data-independent diagonal part, \(P\), and a data-dependent part, \(Q\), as follows:
\[\begin{split}V(X_*)_i & = & K((X_*)_i, (X_*)_i) - (K_*)_{ij} (K_D^{-1})_{jk} (K_*)_{ik} \\ \frac{\partial^2 V(X_*)_i}{\partial x_j \partial x_k} & = & P_{ijk} - Q_{ijk} \\ P_{ijk} & = & \frac{\partial^2 K((X_*)_i, (X_*)_i)}{\partial x_j \partial x_k} \\ Q_{ijk} & = & \hat{Q}_{ijk} + \hat{Q}_{ikj} \\ \hat{Q}_{ijk} & = & \frac{\partial^2 (K_*)_{il}}{\partial x_j \partial x_k} (K_D^{-1})_{lm} (K_*)_im + \frac{\partial (K_*)_{il}}{\partial x_j}(K_D^{-1})_{lm}\frac{\partial (K_*)_{im}}{\partial x_k} \\ & = & H_{iljk} (K_D^{-1})_{lm} (K_*)_m + J_{ilj} (K_D^{-1})_{lm} J_{imk} \\\end{split}\]In the code, \(P\) and \(Q\) are diagonal_hessian and data_dependent_hessian, respectively.
-
posterior_jacobians
(x: numpy.ndarray, *args, **kwargs) → Tuple[numpy.ndarray, numpy.ndarray][source]¶ Get the Jacobian of the posterior mean and the Jacobian of the posterior variance.
Parameters: x – The point(s) at which to evaluate the posterior Jacobians. A 2D array of shape (num_points, num_dimensions), or a 1D array of shape (num_dimensions). Returns: - mean_jacobian (ndarray) – An array of the same shape as the input. The \((i, j)\)-th element is the \(j\)-th component of the Jacobian of the posterior mean at the \(i\)-th point of x.
- variance_jacobian (ndarray) – An array of the same shape as the input. The \((i, j)\)-th element is the \(j\)-th component of the Jacobian of the posterior variance at the \(i\)-th point of x.
See also
GPy.core.gp.GP.predictive_gradients()
- This method wraps GPy.core.gp.GP.predictive_gradients, and will pass through any additional positional or keyword arguments.
-
posterior_mean_and_variance
(x: numpy.ndarray, *args, **kwargs) → Tuple[numpy.ndarray, numpy.ndarray][source]¶ Get the posterior mean and variance at a point, or a set of points.
Parameters: x – The point(s) at which to evaluate the posterior mean and variance. A 2D array of shape (num_points, num_dimensions), or a 1D array of shape (num_dimensions). Returns: - mean (ndarray) – A 1D array of shape (num_points) if the input was 2D, or a 0D array if the input was 1D. The \(i\)-th element is the posterior mean at the \(i\)-th point of x.
- variance (ndarray) – A 1D array of shape (num_points) if the input was 2D, or a 0D array if the input was 1D. The \(i\)-th element is the posterior variance at the \(i\)-th point of x.
See also
GPy.core.gp.GP.predict()
- This method wraps GPy.core.gp.GP.predict, and will pass through any further positional or keyword arguments.
-
update
(x: numpy.ndarray, y: Union[numpy.ndarray, float]) → None[source]¶ Add new data to the GP.
Parameters: - x – A 2D array of shape (num_points, num_dimensions), or a 1D array of shape (num_dimensions).
- y – A 1D array of shape (num_points). If X is 1D, this may also be a 0D array or float.
Raises: ValueError
– If the number of points in x does not equal the number of points in y.
-
class
bayesquad.gps.
WarpedGP
(gp: Union[bayesquad.gps.GP, GPy.core.gp.GP])[source]¶ Bases:
abc.ABC
Represents a Gaussian Process where the output space has been warped.
Models of this type will make use of an underlying Gaussian Process model, and work with its outputs to produce a warped model. Instances of this class each have an instance of GP for this underlying model.
-
kernel
¶
-
posterior_mean_and_variance
(x: numpy.ndarray) → Tuple[numpy.ndarray, numpy.ndarray][source]¶ Get the posterior mean and variance at a point, or a set of points.
Parameters: x – The point(s) at which to evaluate the posterior mean and variance. A 2D array of shape (num_points, num_dimensions), or a 1D array of shape (num_dimensions). Returns: - mean (ndarray) – A 1D array of shape (num_points) if the input was 2D, or a 0D array if the input was 1D. The \(i\)-th element is the posterior mean at the \(i\)-th point of x.
- variance (ndarray) – A 1D array of shape (num_points) if the input was 2D, or a 0D array if the input was 1D. The \(i\)-th element is the posterior variance at the \(i\)-th point of x.
-
posterior_variance_hessian
(x: numpy.ndarray) → numpy.ndarray[source]¶ Get the Hessian of the posterior variance.
Parameters: x – The point(s) at which to evaluate the Hessian. A 2D array of shape (num_points, num_dimensions), or a 1D array of shape (num_dimensions). Returns: hessian – A 3D array of shape (num_points, num_dimensions, num_dimensions) if the input was 2D, or a 2D array of shape (num_dimensions, num_dimensions) if the input was 1D. The \((i, j, k)\)-th element is the \((j, k)\)-th mixed partial derivative of the posterior variance at the \(i\)-th point of x. Return type: ndarray
-
posterior_variance_jacobian
(x: numpy.ndarray) → numpy.ndarray[source]¶ Get the Jacobian of the posterior variance.
Parameters: x – The point(s) at which to evaluate the Jacobian. A 2D array of shape (num_points, num_dimensions), or a 1D array of shape (num_dimensions). Returns: jacobian – A 2D array of shape (num_points, num_dimensions) if the input was 2D, or a 1D array of shape (num_dimensions) if the input was 1D. The \((i, j)\)-th element is the \(j\)-th component of the Jacobian of the posterior variance at the \(i\)-th point of x. Return type: ndarray
-
remove
(x: Union[numpy.ndarray, List[numpy.ndarray]], y: Union[numpy.ndarray, List[numpy.ndarray]]) → None[source]¶ Remove data from the GP.
Parameters: - x – A 2D array of shape (num_points, num_dimensions), or a 1D array of shape (num_dimensions), or a list of such arrays.
- y – A 1D array of shape (num_points), or a list of such arrays. If x is 1D, this may also be a 0D array or float. Must be of the same type as x.
Raises: ValueError
– If the number of points in x does not equal the number of points in y. If x is an array and y is a list, or vice versa.
-
update
(x: numpy.ndarray, y: numpy.ndarray) → None[source]¶ Add new data to the GP.
Parameters: - x – A 2D array of shape (num_points, num_dimensions), or a 1D array of shape (num_dimensions).
- y – A 1D array of shape (num_points). If x is 1D, this may also be a 0D array or float.
Raises: ValueError
– If the number of points in x does not equal the number of points in y.
-
-
class
bayesquad.gps.
WsabiLGP
(gp: Union[bayesquad.gps.GP, GPy.core.gp.GP])[source]¶ Bases:
bayesquad.gps.WarpedGP
An approximate model for a GP using a square-root warping of the output space, using a linearisation of the inverse warping.
Notes
This method, termed “WSABI-L”, was introduced in [1] as one possible approximation to the square-root transform dubbed “WSABI”.
References
[1] Gunter, Tom, et al. “Sampling for inference in probabilistic models with fast Bayesian quadrature.” Advances in neural information processing systems. 2014. -
posterior_mean_and_variance
(x: numpy.ndarray) → Tuple[numpy.ndarray, numpy.ndarray][source]¶ Get the posterior mean and variance at a point, or a set of points.
Overrides
posterior_mean_and_variance()
- please see that method’s documentation for further details on arguments and return values.
-
posterior_variance_hessian
(x: numpy.ndarray) → numpy.ndarray[source]¶ Get the Hessian of the posterior variance.
Overrides
posterior_variance_hessian()
- please see that method’s documentation for further details on arguments and return values.Notes
With the following notation:
- \(X_i\) for the \(i\)-th point of the input array x
- \(m_i\) for the posterior mean of the underlying GP at \(X_i\)
- \(C_i\) for the posterior variance of the underlying GP at \(X_i\)
- \(V_i\) for the posterior variance of the WSABI-L model at \(X_i\)
we have \(V_i = m_i^2 C_i\).
-
posterior_variance_jacobian
(x: numpy.ndarray) → numpy.ndarray[source]¶ Get the Jacobian of the posterior variance.
Overrides
posterior_variance_jacobian()
- please see that method’s documentation for further details on arguments and return values.Notes
With the following notation:
- \(X_i\) for the \(i\)-th point of the input array x
- \(m_i\) for the posterior mean of the underlying GP at \(X_i\)
- \(C_i\) for the posterior variance of the underlying GP at \(X_i\)
- \(V_i\) for the posterior variance of the WSABI-L model at \(X_i\)
we have \(V_i = m_i^2 C_i\).
-
remove
(x: Union[numpy.ndarray, List[numpy.ndarray]], y: Union[numpy.ndarray, List[numpy.ndarray]]) → None[source]¶ Remove data from the GP. If necessary, also update the parameter alpha to a value consistent with the remaining data.
Overrides
remove()
- please see that method’s documentation for further details.
-


ProxyProject is initially meant to resolve one very common and VERY tedious part of Web development, validating web forms. A developer would place Proxy Project between their browser and their development environment then run through the process of populating and submitting a form. After the developer would return to the Proxy Project control panel and click a button, in return a python mechanize script would be presented.
Since the Proxy is already recording everything, additional features would be the ability to replay the response side of requestes on demand ( basically caching the respons ).
The ability to mechanize scripts into "story" scripts, to make it easier to re-use and organize them for building up front loaded system under-test scripts.
A tool to marry SQL statements stored in a MySQL general log file to individual responses, perhaps make it easier to add additional DB level post mechanize


Create a new course in the system.
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On this site, you can add your own Minecraft account to speed up the MineSkin skin generation.
You can also manage accounts you already registered.
MineSkin works by logging into Minecraft accounts & changing the skin in order to generate skin data signed by Mojang.
However, Mojang limits how often an account can change skins to about once every minute, so the more accounts MineSkin has available, the faster it can generate data.
By adding your account, you agree that MineSkin will have access to your full account data, including email, password, etc..
Your password will be stored in the MineSkin database but it will be encrypted first and cannot be read by humans (also in the improbable event of a database breach).
The skin of your account will be changed in irregular intervals in order to generate the skin data for MineSkin.
You can always remove or temporarily disable your account.


Real Betis back boss Rubi ahead of Sunday's crunch Seville derby
The coach is under pressure following a tough start to the season
by SPORT.esReal Betis have picked up four points in their last two games to ease the pressure on Rubi going into Sunday's derby against Sevilla.
Betis, who beat Celta Vigo and then drew with Real Madrid, go into the derby with the coaching staff, the board and the players all rowing in the same direction.
Ángel Haro and José Miguel López Catalán, the club's president and vice president, were present at Thursday's training session which was behind closed doors.
Their presence was to offer their support to Rubi, who has been questioned following his summer move from Espanyol amid poor results.
However, the win against Celta -- when the players made it clear they backed their boss -- and the draw with Madrid have eased the pressure on Rubi.


Hi There,
When I use EmonTx V3 in the U.S. do I need to change VRMS contstant in the default firmware that comes with the EmonTx V3? I read the source code in the Github that it was 230V and that's for the UK right? also, besides that, Do I also need to re-calibrate other calibration constants?
Best,
Ben
Re: Use EmonTx V3 in the U.S.
If you got your adapter from the shop, there should be no need to change anything. Otherwise, if you bought an adapter locally, you will probably need to change the voltage calibration, but that will be because the ratio of mains voltage to output voltage of the adapter will be different, not because the mains voltage itself is different.
If you are using the 100 A YHDC ct, you should not need to change the current calibration. The phase calibration should be close provided you are using the YHDC ct and your ac adapter has a similar phase error to ours.
Re: Use EmonTx V3 in the U.S.
Thanks Robert.
I know that by using a AC-AC adapter, emonTx would automatically detects it is a AC power source and it would adjust the voltage to 120V as in US that's what we have. But I was thinking just to use a battery to power emonTx V3, therefore I'd like to double check to see if I need to upload a new Sketch because I checked the code for the default emonTx V3 on github and it had a hard coded Votage of 240V as it is for the UK. (I know that it is better to use a AC-AC power adapter as it would be more accurate anyway, but I don't have to place near by the switch box in my house to plug AC-AC adapter)
Re: Use EmonTx V3 in the U.S.
Ah, I see what you're saying. If you're on battery power, then you are assuming a voltage and yes, you do need to change that number in the sketch to your normal voltage, and that multiplied by the measured current gives you apparent power (volt-amperes), not real power (watts).
To edit and upload the sketch, you will need to install the Arduino IDE and you'll need a programmer too.
Re: Use EmonTx V3 in the U.S.
Ahhh I too have the same issue.... and i am using the provided ac to ac adapter here in the US. when i monitor the data from the Arduino i get
monTx V3 Discrete Sampling V1.3
OpenEnergyMonitor.org
Performing power-on tests.....please wait 10s
CT 1 Calibration: 90.90
CT 2 Calibration: 90.90
CT 3 Calibration: 90.90
CT 4 Calibration: 16.60
RMS Voltage on AC-AC Adapter input is: ~247V
AC-AC adapter detected - Real Power measurements enabled
assuming powering from AC-AC adapter (jumper closed)
Vcal: 138.40
Phase Shift: 1.70
CT 1 detected
Unable to detect DS18B20 temperature sensor
RFM12B Initiated:
Node: 10 Freq: 433Mhz Network: 210
23 12785
44 12766
28 12813
40 12785
33 12787
46 12831
36 12779
33 12814
22 12788
43 12789
37 12789
41 12826
Re: Use EmonTx V3 in the U.S.
So what is your issue? You think you are using an AC adapter and that indeed appears to be the case. The voltage it is measuring is varying between 127.66 V and 128.31 V - if that is not correct, what is the actual voltage you have? - and the power is reading between 22 and 46 W, so essentially there's no significant load. In your case, there's no need to change the constant "230 V" that's used for apparent power calculations as it seems to be getting the true voltage from the adapter, but if it's not reading the true voltage, then it's the voltage calibration constant 'Vcal' (line 62) that you need to change.
Re: Use EmonTx V3 in the U.S.
Thanks for your reply.... I seemed to have solved to issue by adjusting the vcal to 138.4. However I have now developed a new issue... The Emon tx V3 is no longer connecting to the Pi with the RFM12B.
When the Pi boot the led on the RFM12b flashes once then once more after boot.... then nothing.... sigh
Please note the data i displayed in my previous post above is with the adjustments made to the Vcal.
Re: Use EmonTx V3 in the U.S.
OK, so you don't have an issue with calibration. You changed the calibration constant according to the calibration instructions. Big deal. What was the point in misleading everybody by saying you have an issue?
Do you really mean you now have a problem with the RF, or are you using "issue" to mean something different to the normal meaning?
Assuming this time you do mean you have a problem, you need to check everything associated with the RFM12B. My guess is you changed something else as well as the calibration. What frequency is the RFM12B in your emonTx?
Re: Use EmonTx V3 in the U.S.
I double check both the frequency on the Sketch :
#define RF_freq RF12_433MHZ // Frequency of RF12B module can be RF12_433MHZ, RF12_868MHZ or RF12_915MHZ. You should use the one matching the module you have.
const int nodeID = 10; // emonTx RFM12B node ID
const int networkGroup = 210;
typedef struct { int power1, power2, power3, power4, Vrms, temp; } PayloadTX; // create structure - a neat way of packaging data for RF comms
PayloadTX emontx
and
The the frequency on the Pi config file
####################
# Gateway settings #
####################
[gateway]
# loglevel must be one of DEBUG, INFO, WARNING, ERROR, and CRITICAL
# see here : http://docs.python.org/2/library/logging.html
loglevel = DEBUG
#############
# Listeners #
#############
[listeners]
# This listener manages the RFM2Pi module
[[RFM2Pi]]
type = OemGatewayRFM2PiListener
[[[init_settings]]]
com_port = /dev/ttyAMA0
[[[runtime_settings]]]
sgroup = 210
frequency = 4 baseid = 15
sendtimeinterval = 300
# This listener gets data from a socket
[[Socket]]
type = OemGatewaySocketListener
[[[init_settings]]]
port_nb = 50011
[[[runtime_settings]]]
###########
# Buffers #
###########
[buffers]
# The two following buffers instantiate the same class,
# that formats the data for an emoncms instance.
# One sends the data to a local instance, the other one
# to a distant one.
# If active is set to False, the buffer neither records nor sends any data,
# but it holds unsent data until active becomes True.
[[emoncms_local]]
type = OemGatewayEmoncmsBuffer
[[[init_settings]]]
[[[runtime_settings]]]
domain = localhost
apikey = xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
protocol = http://
active = False
path = /emoncms
[[emoncms_remote]]
type = OemGatewayEmoncmsBuffer
[[[init_settings]]]
[[[runtime_settings]]]
domain = emoncms.org
apikey = d0c3447c13714526a549800e45f2f583
protocol = http://
active = True
path =
Again I apologize for the error
Re: Use EmonTx V3 in the U.S.
First, I have deleted 7 very similar posts to your response above. When you post, please look carefully to see how the site responds. You should have seen a message stating that your comment was held in the queue awaiting approval. This is a mechanism to hamper spammers. Your post clearly is not spam, but the automatic system was unsure.
When I asked if you checked the frequency, I meant the actual frequency to which the RFM12B module is tuned. It should be marked on the emonTx, but if not, look at the pictures here. Am I right to think it has worked once? If so, I assume it is 433 MHz. Why is the frequency in the Pi configuration file "4" and not "433"?
Re: Use EmonTx V3 in the U.S.
The OEM Gateway settings file is formatted in lines as that is how the settings are read, pythons ConfigObj may be misinterpreting the line
although "4" is actually correct for specifying 433MHz in OEMG, that may not be what is actually being read, "baseid = 15" should be on a new line. https://github.com/Jerome-github/oem_gateway/blob/master/oemgateway.conf.dist#L35-L36, But since the RFM2Pi retains its settings, this doesn't explain how or why the setting could be incorrect, corrupt or forgotten (or where the new line went), only that it may not be able to correct the setting if that was the case.
Try putting the new line back in to see if it makes a difference.
Paul
Re: Use EmonTx V3 in the U.S.
Here I am again... i seemed to have solved the communication issue by using a completely different ready to go image for the Pi since is dated August 13 and located https://github.com/emoncms/emoncms/blob/bufferedwrite/docs/setup.md i said aha... it should work and it did. Yea for me.
Now with that said new issue has arisen.
When i use the tail -f /var/log/emonhub/emonhub.log command i get WARNING 153 RX data length: 12 is not valid for datacodes (See attached)
So i reviewed the output of the TX (see attached) and the conf file of the pi (see attached)... both look good. I even did a sudo service emonhub restart
where am I going wrong?
Regards
Re: Use EmonTx V3 in the U.S.
The log entries that you see state the error as being
This message indicates a problem with the received data's length and specifically 12 is not valid for the string of datacodes representing the data's structure, 5 x longs (l) and 4 x ints (h) requires 28 byte values (5x4 + 4x2) so the recieved sstring of 12 values will not allow the process to continue as it cannot map the data types.
In emonhub.conf you have added
datacodes = l, h, h, h, h, l, l, l, l,
This defines node 10 as needing 28 byte values, I'm entirely sure if that was intentional or not, I cannot see it in the guide you followed.
The serial monitor screen from your arduino IDE shows the default "emonTx V3 Discrete Sampling V1.3" sketch installed on the emonTx which transmits a packet consisting of 6 ints (6x2 = 12) which is why you are getting 12 not 28 values.
If you attempted to install a different sketch to the emonTx that appears to have failed and you should investigate that, or if you intend to use the default sketch you can just remove the node 10 datacodes from emonhub.conf and it will work using the default settings (which is why the guide doesn't tell you to edit the nodes section).
See http://openenergymonitor.org/emon/node/5289 for more info on datacodes.
Paul
Re: Use EmonTx V3 in the U.S.
Yep seems like i got it working. So for my friends in the US here is what i did
used sd image located here https://github.com/emoncms/emoncms/blob/bufferedwrite/docs/setup.md and did the mods in the images attached thanks robert and pb66 for your help.....
Now i am off to configure emoncms @ http://emoncms.org/yourenergycube
Re: Use EmonTx V3 in the U.S.
Question for yourenergycude
Why did you use 110V in your calculation of the Vcal?
my line voltage is 120V, and the rated voltage on the provided AC-AC adapter is 120V also. What am i missing?
Thanks
M
Re: Use EmonTx V3 in the U.S.
It's quite possible that you're missing nothing. The point about Vcal is it relates the line voltage to the number that comes out of the rms average calculation. As long as you use a consistent set of numbers, it should be correct. It is:
voltage constant = alternating mains voltage ÷ alternating voltage at ADC input pin
For us here in the UK using the adapter from the shop which is rated for 230 V input, 9 V output and has 20% regulation, the numbers are:
voltage constant = 230 × 11 ÷ (9 × 1.20) = 234.26
The components of that, which might cause confusion - but which are explained in Building Blocks - are:
11 - the inverse of the ratio of the resistive voltage divider
(9 × 1.20) - the actual ac adapter output at 230 V
So if you know your adapter gives you 9.72 V with a line voltage of 118.5 V, you'd use those numbers:
voltage constant = 118.5 × 11 ÷ 9.72 = 134.105
but if you have the same mains voltage (118.5 V) but your adapter says it is 120 V in, 9 V out with 25% regulation, you'd either use:
voltage constant = 120 × 11 ÷ (9 × 1.25) = 117.333
or measure the actual values!
Re: Use EmonTx V3 in the U.S.
Just to confirm - you mean measure the voltage provided from the AC-AC adapter (around 9v) and measure the line voltage directly (which I get 118-120 depending on how the wind blows!)
Real Line voltage * 11 / Output of AC-AC Adapter = VCal?
Re: Use EmonTx V3 in the U.S.
Indeed - except I've just looked at the thread title and you're using the emonTx V3, and the resistive divider in that is 120 kΩ and 10 kΩ, so the ratio there is 13, not 11.
(Building Blocks was written before the emonTx V3!)
Re: Use EmonTx V3 in the U.S.
OK my volt meter shows exactly 120Vac on the phase I connect the AC-AC adapter to
The AC-AC adapter shows an output of 11.84Vac
Vcal=120V * 13 / 11.84 = 131.76
After using this Vcal Input 5 on the EmonTx V3 is showing around 121 - which is pretty close.
Am i missing anything or do you think i'm good to go?
Re: Use EmonTx V3 in the U.S.
You could tweak Vcal to make the EmonTx read exactly the same as your voltmeter.  What some users have done in the past is compare the energy recorded over a long period against the supplier's meter, and adjusted the calibration to make the numbers agree. I think better than 1% is a probably as close as you'll get.


I'm just going to get right into it with this one, here is a list of all the variable types that you can use in Ruby in order of what I consider to be there intensity. local @intance @@class Constant $Global Now the first variable is a local variable which is a little misleading because almost all variable in ruby are technically local to somewhere but more on that later. A local variable always begins with a lowercase letter and is local only to the scope example below:
def localtest
peter = 18
array = [1,2,3,4]
array.each do |i|
i + peter
end
end
puts peter
Now if you typed the code above in it would give you an error this is because the local variable peter does not mean anything inside the scope of the do statement or outside the scope of the method #localtest. Now if I defined a variable inside the do statement with the same name but a different value the code would work because the variables do not conflict.
Now onto an instance variable, they can only be used inside of an class structure and they always begin with an @ sign. They are variable that store data that is specific to an instance of that class. So if you had a class called dogs and wanted to store each dogs age on initialization then you would do something like this.
class Dogs
def initialize(age)
@age = age
end
def get_age
puts @age
end
end
frank = Dogs.new(5)
doug= Dogs.new(8)
frank.get_age => 5
doug.get_age => 8
It is an indispensable tool when working in an object oriented language.
Similar is the class variable, this variable is always prefaced with @@ and also can only me used inside a class. if used in the previous example it would look like this:
class Dogs
def initialize(age)
@age = age
@@bread = big-dog
end
def get_age
puts @age
puts @@bread
end
end
frank = Dogs.new(5)
doug= Dogs.new(8)
frank.get_age => 5 big dog
doug.get_age => 8 big dog
Class variables are class wide and are the same for all instances of a class.
The Constant variable is like a Class and Global variable hybrid, if it is created in a class it will act the same as a @@class variable however used outside a class it will act as a global variable and be the same everywhere inside a program. I class variable's first letter is always a capital. a global variable is very similar, but it can be used everywhere no matter where it is declared, it is always prefaced with a $ sign. Both Constant and $gobal variables are usually advised against being used but are useful in certain circumstances.


Clicking "Restore Database" will delete the current contents of the database and restore it from the file in {{ restoreFile }}.
This file was created {{ restoreDate }}.
We recommend that you 'dump' the database prior to doing this restore. Clicking the button below will immediately delete the contents of all collections in RadGrad.


Version Control to Major Tom:
A Stellar Coding Adventure
Back to Blog
More About Me
Oct. 11: Enumerable on a Bicycle
The big chunk of WebDev wisdom our cohort has had to chew on (and digest) this week is the concept of "Enumerable." The Enumerable module provides a collection of methods we can apply to iterate on Ruby's collection classes, in order to search, sort and manipulate them. It's a bit hard to penetrate at first, but it saves a tremendous amount of time if you learn to use these enumerables well.
There are myriads methods inside the Enumerable class, the most popuar ones being: Each, each_with_index, map or collect, chunk, partition, select, and inject.
What makes it even more flexible, one can combine methods, such as map and each: if you chain the each_with_index method with map, you can have access to the current index inside your map block.
Enumerable#cycle
Enumerable#cycle yields all the elements in the objet again and again in a loop. The argument to #cycle specifies the number of times to cycle. If no integer is provided, it will be run to INFINITY.
Let's say we write this list of clothing sizes:
arr.cycle(2) { |i| puts i }
The cycle will be performed twice:
Small
Medium
Large
Extra Large
Small
Medium
Large
Extra Large
Another example: you have a given number of skirts and want to wear a different one each day? We can make that happen.
skirt_type = %w{Pencil Business A_Line Wool_Blend Plaid Pleated Denim}
=> ["Pencil", "Business", "A_Line", "Wool_Blend", "Plaid", "Pleated", "Denim"]
skirt_type.cycle {|skirt| puts skirt}
=> Pencil
Business
A_Line
Wool_Blend
Plaid
Pleated
Denim
Pencil
Business
...
The cycle can be broken with the "break" statement
skirt_type.cycle do |skirt|
puts skirt
break if skirt == "Plaid"
end
=> Pencil
Business
A_Line
Wool_Blend
Pleated
=> nil
Conclusion: the #cycle method can be used to decide dynamically how many times to iterate through a collection. So now I can go and buy more skirts.
Previous Entry: Arrays and Hashes
Oct. 5: Is That Padding Soft Enough?
Sept. 21: What are the benefits of version control, pray tell?


--- layout: post title: Unpacking my Etude House Package tags: - Coral - Cute - Etude House - Giveaway - Lip color - Lipstick - Pink - Red status: publish type: post published: true meta: _edit_last: '2' _aioseop_title: ! 'Etude House blooming lips talk ' _aioseop_keywords: ! 'Etude House blooming lips talk ' _yoast_wpseo_linkdex: '0' _yoast_wpseo_focuskw: '' _thumbnail_id: '5447' _yoast_wpseo_title: '' _yoast_wpseo_metadesc: '' _yoast_wpseo_metakeywords: '' _yoast_wpseo_meta-robots-noindex: '0' _yoast_wpseo_meta-robots-nofollow: '0' _yoast_wpseo_meta-robots-adv: none _yoast_wpseo_sitemap-include: ! '-' _yoast_wpseo_sitemap-prio: ! '-' _yoast_wpseo_canonical: '' _yoast_wpseo_redirect: '' --- I had posted a teaser on FB few days back, asking whats in my Etude House packages. And here it is... I have lived in South Korea for almost a year and regret not being into makeup that time, but I have to admit that my love for colors started in Seoul. How many times did I pass the cute Etude house and never stepped inside... I know how rude of me. Please forgive me for the sins I committed out of ignorance :)
The first thing that caught my attention is the pink packaging and a cute bow... how dreamy...
Loved the detailing in the bullet, sometimes you don't feel liking using such cute products.... fearing you might spoil it.
One of these I got for myself and two will soon reach to the beautiful ladies reading this post. Are you excited about this small yet cute giveaway ?


Tasks Posted this month
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Italian government to summon ArcelorMittal over Ilva contract: source
ROME (Reuters) - The Italian government will summon representatives of ArcelorMittal (MT.AS) for a meeting following the group’s decision to pull out of a contract to take over struggling Italian steel maker Ilva, a government source said on Monday.
“The government will not give its consent to closing Ilva. There is no legal basis for the contract to be canceled. We will summon Mittal to Rome immediately,” the source said, following a meeting of ministers involved in handling the case.


--- layout: page title: Unauthorised access attempted permalink: login/ ---
Thank you for trying to login to my website. Unfortunately there is no admin backend for this site. All the pages for this site are generated using a static site generator called Jekyll.
Fortunately the source code for this site is hosted on GitHub. That's great news! If you are curious and want to learn more about how this site works, just head on over and judge my code. This also means that you don't need to login to mess with my site, you can clone it and break it as much as you like. Have fun!


Beverages
Ingredients
- 1½ oz Pear Grey Goose Vodka
- 1 oz St. Germain Elderflower liquer
- 1 oz pineapple juice
- 1 oz sour mix
Directions
- Combine all ingredients.
- Shake with ice.
- Pour mixture in a cocktail glass.
- Add a cherry on top.
- ENJOY!!!
Submitted by Leslie Moore
My husband and I's favorite Charlotte restaurant is 131 Main. I love to enjoy a cocktail while there and the when I stumbled across the Pearfection I feel in love! It took practice to recreate this but I finally got and I love to share with everyone.
Cheesecake Factory Strawberry Martini
Ingredients
- 2 cups strawberries
- 2 shops simple syrup
- ice
- 2 shots vodka
- martina skaker
- muddler
- strainer
Directions
- Clean, core, slice and then muddle strawberries.
- Add to martini shaker (add as many as you like).
- Pour in vodka, simple syrup, and A LOT of ice.
- Shake- A LOT
- Shake some more.
- Shake a couple more times. (You want ot shake it REALLY WELL)
- Pour over a strainer into martini glass.
Submitted by Mollie Bolin
My friend Hilary makes this for us girlfriends at all of her gatherings. She makes them so well I practically refuse to come over unless I know there will be strawberry martinis. I often have several and end up very intoxicated but happy.


Dog tries to eat $250,000 Porsche
by Mark FrauenfelderThe Google Translation of this Instagram post: "And you wake up in the morning to discover that Firulais entertains himself by biting your $250,000.00 Porsche in this house."
The Google Translation of this Instagram post: "And you wake up in the morning to discover that Firulais entertains himself by biting your $250,000.00 Porsche in this house."


--- layout: default ---
Clowns and Tricksters
Winter 2005
This course will survey the histories and functions of various trickster and clown figures in mythology, folktales, literature, and popular culture. Beginning with tricksters in Native American, African, and Greek mythology and moving through the Medieval European clowns of both the court and the countryside, this course will examine the roles of tricksters and clowns as characters that challenge reason, invoke chaos, and mark and transgress social conventions. Figures of tricksters and clowns remain important in many contemporary writings, oftentimes appearing as marginalized characters standing outside the mainstream, criticizing the status quo, hastening social transformation, and turning the world upside down.
Required Course Materials
Edward Abbey. The Monkey Wrench Gang
Dario Fo. The Accidental Death of an Anarchist
Course packet
Recommended
William Bright. A Coyote Reader
William Shakespeare. King Lear
William Shakespeare. A Midsummer Night’s Dream
Course Schedule
Week 1
Introductions
TRICKSTERS IN MYTHOLOGY
Reading: Aristotle, Homer
Week 2
Reading: Bright
(Recommended: Toelken)
Reading: Pelton, Owomoyela, Harris
Week 3
Exam 1
MEDIEVAL LAUGHTER
Reading: Rabelais
Week 4
COMEDY & THE GROTESQUE – THE CARNIVALESQUE
Reading: Bakhtin
Week 5
SHAKESPEARE’S FOOLS
Reading/Presentation: Shakespeare
COMMEDIA DELL’ARTE
Week 6
THE CIRCUS
Film: TBA
(Recommended Film: P.T. Barnum: America’s Greatest Showman)
Exam 2
FROM STAGE TO SCREEN: SLAPSTICK, VAUDEVILLE, & “CLASSIC” FILM COMEDY
Films: “The Rink,” “Cops”
Week 7
Duck Soup
A PSYCHOANALYTIC APPROACH TO JOKES
Reading: Freud
Week 8
TRICKSTERS AND CLOWNS – UPDATED
Reading: Fo
Reading: Rubin
Film: The Pie’s the Limit
Week 9
Reading: Abbey
Week 10
Reading: Phelan
Conclusions


--- layout: page title: Alerts ---
Messages that usually appear at the top of the page or container. Blaze alerts are grouped together in an .c-alerts
block.
<Alert closable>Alert</Alert>
<Alert primary closable>Alert</Alert>
<Alert secondary closable>Alert</Alert>
<Alert success closable>Alert</Alert>
<Alert error closable>Alert</Alert>
<Alert animation="slow" closable>Alert</Alert>
Will turn on animation per alert.
Every animation comes with slow and fast modifiers.


| as_environment {rlang} | R Documentation |
as_environment()
coerces named vectors (including lists) to an
environment. The names must be unique. If supplied an unnamed
string, it returns the corresponding package environment (see
pkg_env()
).
as_environment(x, parent = NULL)
x |
An object to coerce. |
parent |
A parent environment, |
If x
is an environment and parent
is not NULL
, the
environment is duplicated before being set a new parent. The return
value is therefore a different environment than x
.
as_env()
was soft-deprecated and renamed to as_environment()
in
rlang 0.2.0. This is for consistency as type predicates should not
be abbreviated.
# Coerce a named vector to an environment: env <- as_environment(mtcars) # By default it gets the empty environment as parent: identical(env_parent(env), empty_env()) # With strings it is a handy shortcut for pkg_env(): as_environment("base") as_environment("rlang") # With NULL it returns the empty environment: as_environment(NULL)


RESULTS FROM HERRON PARK CYCLOCROSS RACE
NOVEMBER 18th, 2000
Here are the results from Sunday's race @ Herron Park, Kalispell,Mt.
Mens'A'
1-Mark Legg (five valley velo)
2-Jacob Hartosch (five valley velo)
3-John Weyhrich (five valley velo)
4-Steve Muller (flathead velo)
5-Kenneth Toth (flathead velo)
Mens'B'
1-Brian Schutt (Kalispell)
2-Mike Ketcher (Kalispell)
3-Richard Allen (five valley velo)
Women
1-Margie Legg (five valley velo)
Thanks to all those who attended and helped at the race
Steve Muller


{%- include style.html -%} {%- include head.html -%} {%- include header.html -%} {%- include body.html -%} {%- include javascript.html -%} {%- include footer.html -%}


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Hansel & Petal is a fictitious brand created by lynda.com solely for the purpose of training. All products and people associated with Hansel & Petal are also fictitious. Any resemblance to real brands, products, or people is purely coincidental. Information provided about the product is also fictitious and should not be construed to be representative of actual products on the market in a similar product category.