Benchmark¶
Running experiments in MQBench¶
MQBench integrate the lastest quantization features in Pytorch. With the help of torch.fx
, we can automated trace a model and get its computation graph.
FX is a toolkit for developers to use to transform nn.Module instances. FX consists of three main components: a symbolic tracer, an intermediate representation, and Python code generation.
The symbolic tracer performs “symbolic execution” of the Python code. It feeds fake values, called Proxies, through the code. Operations on theses Proxies are recorded. More information about symbolic tracing can be found in the symbolic_trace() and Tracer documentation.
The intermediate representation is the container for the operations that were recorded during symbolic tracing. It consists of a list of Nodes that represent function inputs, callsites (to functions, methods, or torch.nn.Module instances), and return values. More information about the IR can be found in the documentation for Graph. The IR is the format on which transformations are applied.
Python code generation is what makes FX a Python-to-Python (or Module-to-Module) transformation toolkit. For each Graph IR, we can create valid Python code matching the Graph’s semantics. This functionality is wrapped up in GraphModule, which is a torch.nn.Module instance that holds a Graph as well as a forward method generated from the Graph.
Taken together, this pipeline of components (symbolic tracing -> intermediate representation -> transforms -> Python code generation) constitutes the Python-to-Python transformation pipeline of FX. In addition, these components can be used separately. For example, symbolic tracing can be used in isolation to capture a form of the code for analysis (and not transformation) purposes. Code generation can be used for programmatically generating models, for example from a config file. There are many uses for FX!
See details of torch.fx
here.
Our framework adopts the official API to convert a quantized model. First, the backend parameters need to be determined. This includes the symmetry, per-channel or per-tensor quantization and POT or FP32 scale. Take SNPE as an example: the backend parameters are defined as follows:
backend_params = dict(ada_sign=False, symmetry=False, per_channel=False, pot_scale=False)
Then, we can convert the model with the official API:
import torch.quantization.quantize_fx as quantize_fx
model = model_entry(self.config.model, pretrained=True)
model_qconfig = get_qconfig(**self.qparams, **backend_params)
foldbn_config = get_foldbn_config(foldbn_strategy)
model = quantize_fx.prepare_qat_fx(model, {"": model_qconfig}, foldbn_config)
Here model_qconfig
and foldbn_config
is determined by the quantization algorithms. Users can freely choose the strategy for BN folding and the algorithms for QAT. After the prepare_qat_fx
, the model can be trained as a normal Pytorch nn.Module
.
We provide the running scripts run.sh and configuration file config.yaml of all experiments in MQBench.
To reproduce LSQ on ResNet-18,
enter the directory
cd PATH-TO-PROJECT/qbench_zoo
cd lsq_experiments/resnet18_4bit_academic
run script
sh run.sh
Note that run.sh
contain some commands that may not be found, the core running command is
PYTHONPATH=$PYTHONPATH:../../..
python -u -m prototype.solver.cls_quant_solver --config config.yaml
How to self-implement a quantization algorithm¶
All our quantization algorithms are implemented in prototype/quantization/
To implementa a new algorithm, you need to add you quantizer into this directory.
All quantizer are inheritant from QuantizeBase
class. Each QuantizedBase
will have an observer class which is used to estimate/update the quantization range. The observer design is inspired from the Pytorch-1.8 repo. By intializing a QuantizeBase
class, a Observer
class will also be initialized to observe the activation range for this quantization node.
The parameters contained for QuantizeBase
and Observer
include：
quant_min, quant_max
, which specify the \(N_{min}, N_{max}\) for rounding boundaries.qshcme
, which can betorch.per_tensor_symmetric
,torch.per_channel_symmetric
,torch.per_tensor_affine
, andtorch.per_channel_affine
. This is often determined by the hardware setup.ch_axis
, which is the dimension of channel-wise quantization. -1 is for per-tensor quantization. Typically fornn.Conv2d
andnn.Linear
module, thech_axis
should be 0.ada_sign
, which can adaptively choose the signness.ada_sign
should be enabled for academic setting only.pot_scale
, which is used to determine the powers-of-two scale parameters.
Note: each specified quantizer may have its own unique parameters, see example of LSQ below.
Example Implementation of LSQ:
For initialization, we add new parameters for storing the scale, zero_point:
self.use_grad_scaling = use_grad_scaling
self.scale = Parameter(torch.tensor([scale]))
self.zero_point = Parameter(torch.tensor([zero_point]))
The major implementation is the forward function, which should contain several cases:
In case of ada_sign=True, the quantization range should be adjusted.
if self.ada_sign and X.min() >= 0:
self.quant_max = self.activation_post_process.quant_max = 2 ** self.bitwidth - 1
self.quant_min = self.activation_post_process.quant_min = 0
self.activation_post_process.adjust_sign = True
2. In case of symmetric quantization, the zero point should set to 0.
self.zero_point.data.zero_()
3. In case of powers-of-two scale, the scale should be quantized by:
def pot_quantization(tensor: torch.Tensor):
log2t = torch.log2(tensor)
log2t = (torch.round(log2t)-log2t).detach() + log2t
return 2 ** log2t
scale = pot_quantization(self.scale)
4. Implement both per-channel and per-tensor quantization.
After adding you quantizer…
The next step is to register the quantizer in prototype/quantization/qconfig.py
Import your quantizer and then add it to get_qconfig function, and parse necessary arguments.
The final step is to override a config.yaml file:
qparams:
w_method: lsq
a_method: lsq
bit: 4
backend: academic
bnfold: 4
By replacing the w_method, a_method
, you can run your implementation.
Note: the rest of the config file should not be modified in order to keep a unified training setting.
How to self-implement a hardware configuration¶
Adding a new setting in hardware is much simpler that algorithms. To do this, we can add another condition in the if-else
selection. For example, adding a new hardware TFLite Micro:
elif backend == "tflitemicro":
backend_params = dict(ada_sign=False, symmetry=True, per_channel=False, pot_scale=True)
...
model_qconfig = get_qconfig(**self.qparams, **backend_params)
model = quantize_fx.prepare_qat_fx(model, {"": model_qconfig}, foldbn_config)


Basic polymer-text2picto demo
Spanish and Sclera
Spanish and Beta
English and Sclera
English and Beta
Dutch and Sclera
Dutch and Beta


WITNESS LIST Criminal Justice Committee May 19, 2005 - 1:30P HB 51 Registering, but not testifying: For: Coffey, Debra Director of Judicial Services (Smart Start Inc.), Irving, TX Diepraam, Warren Assistant D.A. (Harris County District Attorney's Office), Houston, TX Granger, J.D. Assistant Criminal D.A. 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Association), Austin, TX Klein, Angie AFLS/CJIS Manager, Criminal Justice System (Texas Department of Public Safety), Austin, TX Taylor, Allison Executive Director (Council on Sex Offender Treatment), Austin, TX Worry, Lisa Program Specialist (Council on Sex Offender Treatment), Austin, TX HB 1012 Registering, but not testifying: Against: del Llano, Ann Attorney (ACLU of Texas), Austin, TX HB 1068 Registering, but not testifying: On: Harrell, Will Executive Director (ACLU), Austin, TX Johnson, Pat Manager Field Crime Labs (Texas Department of Public Safety), Austin, TX Loockerman, Dennis Supervisor, CODIS Program (Texas Department of Public Safety), Austin, TX Urbanovsky, Ron Director, Crime Laboratory Service (Texas Department of Public Safety), Austin, TX HB 1096 AGAINST: Ray, William President (SAR Quest Search Specialist), Alvin, TX Shaver, Jeff Attorney/Pet Owner (Responsible pet owner alliance), Houston, TX Registering, but not testifying: Against: Bishop, Cinda Director (Texas 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Jan Manager-Concealed Handgun (Texas Department of Public Safety), Austin, TX HB 1484 Registering, but not testifying: For: Lyons, Steve Lieutenant (Houston Police Department), Houston, TX HB 1575 Registering, but not testifying: For: Fowler, Deborah Senior Attorney (Texas Appleseed), Austin, TX On: Capers, Lisa General Counsel (Texas Juvenile Probation Commission), Austin, TX Nichols, Neil General Counsel (Texas Youth Commission), Austin, TX Shackelford, Wesley Special Counsel (Task Force on Indigent Defense), Austin, TX HB 1589 Registering, but not testifying: For: Gaylor, Tom Deputy Executive Director (Texas Municipal Police Association), Austin, TX Smith, Mike District Representative (Texas Department of Public Safety Officers Association), Austin, TX On: Hawkins, Gene Commander (Texas Department of Public Safety), Austin, TX HB 1601 FOR: Pareya, David Justice of the Peace, McLennan County (Texas Justice Court Judges Association), West, TX HB 1701 FOR: Trevino, Gloria (Veterans in 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Fajardo, Erick (Texas LULAC), Austin, TX Harrell, Will Executive Director (ACLU, NAACP, LULAC), Austin, TX Houston, Joshua (Christian Life Commission), Houston, TX Hurt, Charles Executive Director (Texas Justice Network), Rosanky, TX Kleiber, Bill Regional Director (Ministry Advisory Council), Huntsville, TX Martinez, Leticia Director (Save Our TexSons), Houston, TX Totman, Molly Policy Analyst (Texas Criminal Justice Coalition), Austin, TX Yanez-Correa, Ana Legislative Liasion (National LULAC), Austin, TX Against: Hubbarth, William "Rusty" Vice President (Justice For All), Austin, TX HB 2036 Registering, but not testifying: For: Harrell, Will Executive Director (ACLU), Austin, TX On: Taylor, Allison Executive Director (Council on Sex Offender Treatment), Austin, TX Worry, Lisa Program Specialist (Council on Sex Offender Treatment), Austin, TX HB 2193 FOR: del Llano, Ann Attorney (American Civil Liberties Union of Texas), Austin, TX Bledsoe, Gary President (Texas National Association 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PULP FICTION A film review by James Berardinelli Copyright 1994 James Berardinelli
Rating (0 to 10): 9.9
Date Released: 10/7/94 (NY, LA); 10/14/94 (elsewhere) Running Length: 2:29 Rated: R (Language, violence, mature themes)
Starring: John Travolta, Samuel L. Jackson, Uma Thurman, Harvey Keitel, Tim Roth, Amanda Plummer, Maria de Medeiros, Ving Rhames, Eric Stoltz, Rosanna Arquette, Christopher Walken, Bruce Willis, Quentin Tarantino Director: Quentin Tarantino Producer: Lawrence Bender Screenplay: Quentin Tarantino based on stories by Quentin Tarantino and Roger Avary Cinematography: Andrezj Sekula Music: Karyn Rachtman Released by Miramax Films
Pulp (pulp) n. 1. A soft, moist, shapeless mass of matter. 2. A book containing lurid subject matter, and being characteristically printed on rough, unfinished paper.
 Blessed is he who in the name of charity and goodwill shepherds the weak through the valley of darkness, for he is truly his brother's keeper and a finder of lost children.  And you will know my name is the Lord when I lay my vengeance upon thee." - Jules' version of Ezekiel 25:17
The danger of having as successful and explosive a debut as RESERVOIR DOGS is that expectations are invariably high--sometimes unrealistically so--for the follow up. Quentin Tarantino, however, has managed the near-impossible: improve upon the extraordinary. PULP FICTION shows what can happen when a talented and accomplished filmmaker reaches his apex.
This film is one wild ride. An anthology of three interconnected stories that take place in a modern-day Los Angeles tinted by echoes of Dashiell Hammett and Raymond Chandler, the movie impresses in every possible way. Writer/director Tarantino has merged film noir with the gangster tale and pulled them both into the '90s. As definitive as Francis Ford Coppola's GODFATHER saga was for the '70s, so is PULP FICTION for today's generation.
Some have wondered whether Tarantino can create women of strength and independence equal to his men. PULP FICTION supplies the answer with a resounding affirmation. Both sexes are rendered with similar depth and insight.
PULP FICTION's three tales are structured to intersect and overlap at key points, even though they are not presented in chronological order. Tarantino arranges his initial scene to dovetail with his final one in a remarkable example of closure. Those confused by the structure will see everything clearly once the final line is spoken.
"Vincent Vega and Marsellus Wallace's Wife" is the first story. It opens with Vincent (John Travolta) and Jules (Samuel L. Jackson) out on a hit for their boss, Marsellus (Ving Rhames). Along the way, Vincent confesses that he's uneasy about an upcoming job--taking out Marsellus' young wife Mia (Uma Thurman) while the main man is out of town. The source of the nervousness lies in a story circulating that Marsellus had a man thrown out a fourth story window for giving Mia a foot massage. One wrong step and Vincent could find himself in deep trouble.
"The Gold Watch" is about a boxer, Butch (Bruce Willis), who is handsomely paid by Marsellus to throw a fight. Only at the last moment does it become more profitable to renege on the deal. So, along with his French girlfriend, Fabienne (Maria de Medeiros), Butch goes on the run, hoping to live long enough to spend some of the fortune he has suddenly gained.
"The Bonnie Situation" ties together a few loose threads. It also introduces Harvey Keitel as a suave problem-solver named Wolf and Quentin Tarantino as Jim, a man worried that his wife will come home from work to find a dead body in a blood-spattered car in his garage. Sometimes, it appears, helping out Marsellus is not without its complications.
As was the case in RESERVOIR DOGS, Tarantino's crisp dialogue sparkles. The vulgarity-laced monologues and conversations ripple with humor and are ripe with points to ponder. Foot massages, hamburgers, comfortable silence, a gold watch, pot bellies, divine intervention, and filthy animals--all these and more receive the writer's attention as he presents meaningless issues in an intensely-fascinating and almost lyrical fashion. Who else (except perhaps David Mamet) can make profanity sound so poetic?
For anyone who thought they knew the breadth of Bruce Willis' and John Travolta's acting ability, a surprise awaits. Whether it's an effect of the script, the direction, or something else, these two turn in surprisingly strong performances. And they're not the only ones. Uma Thurman, Rosanna Arquette, Ving Rhames, Harvey Keitel, Tim Roth, Amanda Plummer, Eric Stoltz (who has a Tarantino-related triple play with PULP FICTION, KILLING ZOE, and SLEEP WITH ME), and the director himself are all excellent. And then there's Samuel L. Jackson, who seems to get better with every outing. His is the standout in a sea of standouts.
All the details are executed to perfection. Ironies abound in the smallest situations. One death is caused by, of all things, a poptart. And it takes a director of rare talent to find the humor in an ugly, bloody situation. Mixing the original with the derivative, Tarantino pushes PULP FICTION in directions that are both anticipated and unexpected.
Relentless in its pace, PULP FICTION is as exhausting as it is exhilarating. Yet there is considerably more to this film than a SPEED with good actors. In between all the shootings, Mexican standoffs, and other violent confrontations exist opportunities to explore various facets of the human experience, including spirituality (witness Jules' fondness for a pseudo-Ezekiel passage). With this film, every layer that you peel away leads to something deeper and richer. It's a rare film that can say that, and a rarer one that can do it in the manner that this one has.
-James Berardinelli<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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The video stream authenticity validation is critical to balance against the rise of deepfake tech. Used to be you could never trust what a politician was saying. Nowadays you cant even trust that it's the politician saying it.
Do notarys back up the stream for tampering analysis later?(edited)
2
blackjok3r16-Oct-18 10:03 AM
I am not sure its feasable to have notaries keep it
But once the raw data is notarised any copy can be verified
It doesnt make sense to have all notaries keepng a copy of everything ...
You never know what the data might be... dont want the service to be dissapeared because someone used it for somehting bad.
Just notarise the data against KMD for a fee then remove it(edited)
jl777c16-Oct-18 10:06 AM
why keep the raw data?
anybody with the rawdata can verify the hashes
all the authentication is built in
but a single miner chain should also prevent anybody other than notaries from doing tx to keep it pure
this is really an edge case as usually blockchains have multiple writers, but it does solve a usecase on the broadcast receivers side
very cool
and it is often that some unusual things are found at the edges
like PIRATE without taddr, this one with a single miner/tx creator
blackjok3r16-Oct-18 10:40 AM
yes I have a few issues at the moment ... Trying to figure out the notary node miner, that needs to spend 0.0001 utxo to create the TX atm.
Might take another day yet. However I am taking it slow and thinking it through trying to make the least amount of changes as I can. Right now I have it so that the coinbase TX can only be mined by the ac_pubkey as a conesnsus rule, but anyone who mines also mines to that pubkey. So I need to add the notary miner to that, so they also need the private key.
what I have so far is:
1. every block generated under 128 makes 2 p2pk utxo's and every block over 128 makes 1.
2. both these p2pk are to ac_pubkey as a consesnus rule, unless the ac_pubkey owner gives anyone coins, no body else can make transactions.
This I assume will be launched similar to how Alright designed the oracles and assetchains.json. The dAPP user pays the notaries and funds them, and there is some kind of setting for when the chain is to be stopped being notarised, and then it can be removed from al notaries.
smk762 - dracocanis ominator16-Oct-18 10:41 AM
good point re: the liability of storing unknown censorship resistant data
blackjok3r16-Oct-18 10:42 AM
yes... the chain is owned by the chain creator, notaries just provide a service to make it immutable.(edited)
Really any data at all can be used here... not just video.
the use cases will be unknown until people can use it.
smk762 - dracocanis ominator16-Oct-18 10:45 AM
just wondering how to counter potential tampering pre/on stream. as long as a copy exists, it can be analysed. Tampering after stream is exposed well by notary hash. Catching tampering ealier is probably beyond scope though.
blackjok3r16-Oct-18 10:47 AM
welll the chain creator is sending into the mempool and minging the chain, all they need to do is put enough hash at it so mine the blocks as fast as the data is being generated.
I guess I have enough f it done to see what that limit is before it breaks
smk762 - dracocanis ominator16-Oct-18 10:47 AM
any data... like a GPS sensor stream...? This would expand well into scientific survey data. Plenty of sensors out there collecting
if you have chain of custody validated from source, no-one can fudge the numbers without spoofing them to begin with
blackjok3r16-Oct-18 10:49 AM
well yes ... I guess so... as the chain iteself is trusted, but once the blockchain is notarised and more people have a copy, then its locked in. Unless KMD and BTC dissapear.
for things like sensors and stuff... depends how much data, likely if its not huge bandwidth required a normal chain can be used.
smk762 - dracocanis ominator16-Oct-18 10:53 AM
Sensor data without imagery band components are pretty low kb, even if collecting in realtime. Most sensors only poll periodically to conserve power or because rate of change isn't rapid enough to warrant continuous capture.
lightweight json strings for temperature, windspeed, acidity etc etc
blackjok3r16-Oct-18 10:54 AM
Likely those kind of things would just use a notarised chain with oracles I guess... This kind of chain, is for big data...
and on off usecases .. say a video interview of a wistleblower... or whatever anyone can think of.
smk762 - dracocanis ominator16-Oct-18 10:55 AM
alongside txscl, you could have an army of sensors so cover large tracts in parallel
1
potential agritech/mining application
blackjok3r16-Oct-18 10:55 AM
uses really are unlimited, until someone uses them though
smk762 - dracocanis ominator16-Oct-18 10:58 AM
...an army of survailence craft streaming to the VR helmet of a trespasser...
blackjok3r16-Oct-18 10:58 AM
There is a lot of work, before the code reaches a point where large scale notarisations can be done easily though I have an idea on how to "fix" the pubkey problem as per advice form james a while ago, but my skills are too low to try it yet, not an issue for at least another year I think though so plenty of time.
Ideally storing the array of pubkeys onchain somwhere would be the go.
Rather than hardcoded into the deamon, this stops endless hardforks ...
smk762 - dracocanis ominator16-Oct-18 11:09 AM
The asset tracker kit I"m using for GPS has a bunch of cpp libs I might stare at for a while and then poke with a blunt stick
blackjok3r16-Oct-18 11:11 AM
cpp is probably no so bad if starting from scratch code ... but trying to follow it in komodod is difficult.
it makes no logical sense how it actaully gets any information. things like a variable.somehting.getstring and things like that ... and how to get those things and where they are avalible. ... at least with C if there is a pointer, you know that data is avalible in that funcitona nd you can use it.
I found a good trick, if you dont know what type some data is, is to just printf a string, then compile and the compiler will tell you what type it actually is.
its slow going, but it works
1
smk762 - dracocanis ominator16-Oct-18 11:14 AM
yep. even in nodejs, console.log and typeof are handy tools
blackjok3r16-Oct-18 11:15 AM
learning how to hack C with iguana was good, becaues james already had debug printf's everywhere ... and it was juts a matter of finding a printf with the data you wanted to check and copy pasting it somwhere else. seem to be getting past that now though as I have more experiance.
and atom text editor helps with syntax a fair bit too.
smk762 - dracocanis ominator16-Oct-18 11:16 AM
diference between reading code, and making the code read to you
1
I used notepadd++ for years, switched to sublime last year and it's heaps better on the eyes
blackjok3r16-Oct-18 11:19 AM
Until I got this P50 a lot of the software I use was unuseable on windows and even my old laptop with linux ... this wasnt easy to get used to one bit, but i3 the way have it setup is so freeking productive.
smk762 - dracocanis ominator16-Oct-18 11:22 AM
how setup?
blackjok3r16-Oct-18 11:24 AM
https://github.com/LukeSmithxyz/voidrice
Started with that ... but as I have a P50 thinkpad with 16GB of ram and not an old core2 thinkpad like him, I was able to use some newere/more bloated software.
Learning basic vim has been helpful, as I use servers/vps/VM to do all compiling etc, because internet here is shite (even with nbn 50mbit building KMD from scratch takes forever)
My dotfiles (deployed by LARBS). Contribute to LukeSmithxyz/voidrice development by creating an account on GitHub.
I created my own "taskbar" based on XFCE4 bar
but kept most of his key shortcuts and stuff... I still dont find myself always using hte key shortcuts unless in a real rush... mostly use the track pad still.
didnt think a singel screnn latop could be this much better than a multi screen setup... although with this multi screen it would likely be even better, just havent been bothered to amke it work.
smk762 - dracocanis ominator16-Oct-18 11:33 AM
Capslock is a useless key in high quality space.
This guy knows what he's on about!
all caps lock ever does is ruin things when you over reach IMING FOR A(edited)
blackjok3r16-Oct-18 11:57 AM
I cant use a computer without capslock as esc now
hes a very smart guy, has some really noce podcasts on youtube now aswell.
about all kinds of topics not just linux
but beware it will take weeks of not months to get used to
smk762 - dracocanis ominator16-Oct-18 12:11 PM
somethings are worth unlearning. I dont think I'll miss capslock. shift does the trick anyway
blackjok3r16-Oct-18 12:19 PM
I just kept reading cfi whenever I had nothing else to do and then playing with shortcuts ... as with any custom OS, you need to change it a lot before it does exaly what you want to.
I still havent got mine that good, it was just taking too much time up
I pretty much stopped once I worked out how to lock certain apps to certain workspace and have them start on boot up there
when im working on a project I never shutdown... go weeks without a reboot here
uptime 39 days
The super + U for a drop down terminal is mad for git pushes and stuff like that.
and super +A has a R calculator, still am yet to master perfectly but its way better than anything else ive used.
nothig beats i3 for using heaps of terminals, that first scale test would heva been impossible without it.
blackjok3r16-Oct-18 01:32 PM
I have got the notary miner working
But its only a code thing ... someone can modify the daeomon code and remove the need for a payment then mine. Still thinking but getting closer here.
So far everything is just a -ac_stream=1 command line arg, need to load another chain to double check though.
@jl777c what is the KMD burn pubkey ?
Or should i just flood CRYTPO777 address with unspents of value = 0 ?(edited)
Sending them back to the chain creator is going to break the wallet long term under load.(edited)
jl777c16-Oct-18 01:42 PM
maybe dont need any vout at all
just have opreturn
maybe change is assumed though...
blackjok3r16-Oct-18 01:53 PM
I need to have notary tx still able to happen, and with staked, I canot referance the hardcoded array, so I need to do it another way ...
I need to check, but maybe you know,
the notary spend TX is always last in a block, even if the block is full this TX will always be there ?
jl777c16-Oct-18 01:55 PM
the notarization tx is just a normal tx
blackjok3r16-Oct-18 01:55 PM
If so, I can just burn the streamer spend TX and check it was sent by the override pubkey
jl777c16-Oct-18 01:55 PM
can be anywhre in the block other than coinbase
blackjok3r16-Oct-18 01:55 PM
no
the miner tx
when a notary mines ..
it gets added last
jl777c16-Oct-18 01:55 PM
the proof of notary utxo
blackjok3r16-Oct-18 01:55 PM
I have the assetchains_override pubkey using that
jl777c16-Oct-18 01:55 PM
yes that is the last
blackjok3r16-Oct-18 01:56 PM
even if the block is full
so I can just check that the last TX came from assetchains_override_pubkey
and reject any blocks without that ?
this stops anyone else mining no matter what they try.
otherwise someone determined cna change the code, and mine blocks without proving they have a utxo from assetchains_override_pubkey (chain creator)


net.personality
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**net.personality**: /net per\`sn·al'·@·tee/, n.
Someone who has made a name for him or herself on
`*Usenet* <../U/Usenet.html>`__, through either longevity or
attention-getting posts, but doesn't meet the other requirements of
`*net.god* `__\ hood.
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PINK BISMUTH - bismuth subsalicylate tablet, chewable
Qualitest Pharmaceuticals
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
ACTIVE INGREDIENTS (IN EACH TABLET)
Bismuth subsalicylate 262mg (each tablet contains 102mg salicylate)
PURPOSE
Antidiarrheal/Antacid
USES
- controls diarrhea
- relieves heartburn, indigestion, nausea and upset stomach without constipating
WARNINGS
Reye’s syndrome: Children and teenagers who have or are recovering from chicken pox or flu-like symptoms should not use this product. When using this product, if changes in behavior with nausea and vomiting occur, consult a doctor because these symptoms could be an early sign of Reye’s syndrome, a rare but serious illness.
Allergy alert: Contains salicylate. Do not take if you are:
- allergic to salicylates (including aspirin)
- taking other salicylate products
Do not use if you have
- bloody or black stool
- an ulcer
- a bleeding problem
Ask a doctor before if you have
Ask a doctor or pharmacist before use if you taking any drug for
- anticoagulation (thinning the blood)
- diabetes
- gout
- arthritis
When using this product
a temporary, but harmless, darkening of the stool and/or tongue may occur.
Stop use and ask a doctor if
- symptoms get worse
- ringing in the ears or loss of hearing occurs
- diarrhea lasts more than 2 days
If pregnant or breast-feeding,
ask a health professional before use.
Keep Out of Reach of Children
In case of accidental overdose, contact a doctor or Poison Control Center immediately.
DIRECTIONS
- drink plenty of clear fluids to help prevent dehydration caused by diarrhea
-
Adults and Children 12 years and over: 525mg (2 tablets) every ½ to 1 hour or 1050mg (4 tablets) every hour as needed
- do not exceed 4200mg (16 tablets) in 24 hours
- use until diarrhea stops but not more than 2 days
-
Children under 12 years: ask a doctor
OTHER INFORMATION
-
Phenylketonurics: contains phenylalanine 1.1mg per tablet
- Calcium content per tablet: 73mg
- save carton for full directions and warnings
- store at room temperature 59°-86°F (15°-30°C)
- do not use if cellophane unit is torn
INACTIVE INGREDIENTS
Aspartame, calcium carbonate, D&C red #27, dextrates, flavor, magnesium stearate, microcrystalline cellulose, silicon dioxide.
PRINCIPAL DISPLAY PANEL
Product Label
- Fast Acting
- Soothing Coating Action
- Provides relief for indigestion, upset stomach, heartburn, diarrhea and nausea
Made in USA for
Qualitest Pharmaceuticals, Inc.
Huntsville, AL 35811, USA


The redshirt fifth year has carved himself a spot on Ohio’s roster as a dependable safety for the past four seasons. His stats never top the sheets, but he’s hung with the Bobcats since 2018 and pulled his weight along the way.
But before Wolff was a safety for the Bobcats, he was off to the sidelines. Until his sophomore year, Wolff had been one of Ohio’s equipment managers.
Before college, Wolff played football for Zane Trace High School, a school just north of Chillicothe with a body of around 400 students. His school wasn’t a hotbed for college recruitment, and he only recalled a handful of his friends that went off to play sports at the collegiate level. He’d never received any offers himself, so he joined Ohio’s equipment staff soon after arriving in Athens as a way to stay close to football.
Wolff was content in his role for the first year and a half. He still got to be around the sport he loved, he got along with the Bobcats and he made quick friends with his fellow equipment managers. However, part of him wanted to be on the field again.
“I just kind of liked being around the team, players, stuff like that,” Wolff said. ”I was kind of missing playing high school football and being around teammates. I love the equipment staff, I was kind of just missing out with playing football.”
So, he figured he’d take a chance.
During winter break of his sophomore year, Wolff mulled over whether or not to walk on to Ohio before spring practices began. He still enjoyed the equipment staff, but he missed being on the field. He asked the Director of Equipment at the time, Matt Morton, if he would be able to come back to work if tryouts didn’t go well.
But Morton offered Wolff help and soon got him into contact with Chris Rodgers, Ohio’s then-Director of Football Operations. Before long, Wolff had joined the Bobcats for winter workouts.
The adjustments weren’t easy. Wolff hadn’t suited up in two years, and he was put on a separate conditioning regimen to get him eased into the workouts other Ohio players were doing. He even had to catch up on his knowledge of the game. Wolff never delved deep into Ohio’s playbook beforehand, so he had to learn quickly to catch up.
“I was equipment, so I didn't get to see all the X's and O's that was going on,” Wolff said. “I just remember it being a little challenging at first to really understand a college playbook and see how things work. But everyone treated me the same, I didn’t have any special treatment.”
Was it difficult? Sure, but Wolff’s a quick study. As spring practices came and went, the safety adjusted quickly to college play. Come summer, he got a call. There was a roster spot with his name on it for the 2018 season.
His first season was mostly quiet. The safety appeared in six games for Ohio in 2018, making his debut in its 58-42 win over UMass.
He still remembers the excitement.
“I remember probably kickoff I was a little nervous,” Wolff said. “Since I hadn’t played in, what was it, almost three years since I had played? I wouldn't say anything too crazy. Like not too much nerves, but I was looking forward to it.”
But the first big moment of his college career came just over a month later, when Ohio blasted Western Michigan 59-14 on Nov. 1, 2018.
Midway through the second quarter, Western Michigan wide receiver Jayden Reed fumbled a kick return, and Wolff — in just the third game of his career — recovered the ball on the 11-yard line. Ohio scored two plays later.
The fumble recovery may not seem significant, especially in the context of the game itself. Wolff’s recovery was just one of four made by Ohio in that game. It wasn’t a flashy moment, but Ohio defensive coordinator and safeties coach Ron Collins recalled Wolff’s fumble recovery as the redshirt fifth year’s “big break.”
“Well he came down the field, and I believe he got blocked,” Collins said. “And he dove over, the ball was on the ground, did a forward roll, grabbed the ball as he was rolling and recovered that fumble. It was awesome.
That was the moment Wolff was on Ohio’s roster to stay. He’s played in at least three games every year since and recorded a career-high four tackles against Louisiana this season. He’s a far cry from his days as an equipment manager, and he wouldn’t trade the experience he’s had for anything.
“I’ve really just enjoyed it,” Wolff said. “Like I said, things I missed was hanging out with the players and being a part of a football team. Everyone pretty much welcomed me with open arms. I have some long-lasting relationships, and I’ve just been grateful and happy that I tried to do it and made the team.”


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Lobby System
The lobby system is a way for you to be able to manage your existing players on your particular server on a global level.
With this system, you are able to do the following:
- Set Player Name (string)
- Set Avatar ID (int)
- Set Team ID (int)
- Send a message to everyone like the chat system (string)
- Kick player
- Start game button
This system allows us to be able to control the list of players and functionality of those players at runtime. There is a basic dummy lobby master class that will be the default system chosen until overridden with either our custom Lobby Master (unity implementation) or your own Custom Lobby Master. Because of the way it is written for forge, this system does not need to be ran from Unity and can work perfectly fine on your linux builds (more on this later).
Using the Existing Lobby System
The existing lobby system is available out of the box to be used in your application. The one thing you want to check is if you are using the MultiplayerMenu and loading into your game then you'll be fine following skipping to step #2.
- First ensure that whatever network loading sequence you are going with, that the host will call the following code.
LobbyService.Instance.Initialize(serversocket);
Where the 'server socket' would be the socket that the host makes when hosting. You can see this being done in the example MultiplayerMenu.cs that is included with Forge Networking.
- Add the lobby system prefab (LobbySystem.prefab) to your game scene, or wherever you want to include the lobby system to your existing game.
- If you don't have an event system & a standalone input module in your scene already, then you would need to make sure they are in there to interact with the lobby items as well.
The lobby player item prefab is just a prefab that stores the users name, color, buttons and the like. You are free to modify this prefab to your liking as well as the lobby system itself.
-
Congratulations you have officially added the lobby system to your game and can start using it! Change your name in your player top let, and start talking in the chat bottom left, change the UI to however you please as well as the prefab.
-
PS- To get better results, make sure in the build settings Multiplayermenu -> Lobby -> Game
Lobby Service API Calls
The lobby service has built in api calls that are currently being used in the LobbyManager. For reason of explaining it further, these api calls can be called from anywhere in code as long as you are connected to a socket. This allows you to change the users name from anywhere other than the built in Lobby system.
string newName = "";
LobbyService.Instance.SetName(newName);
uint playerID = 999;
//Only the server will actually kick players
LobbyService.Instance.KickPlayer(playerID);
int avatarID = -1;
LobbyService.Instance.SetAvatar(avatarID);
int teamID = -1;
LobbyService.Instance.SetTeamId(teamID);
string chatMessage = "";
LobbyService.Instance.SendPlayerMessage(chatMessage);
Here is some examples of what the data structure of sending these api calls would look like. As stated before, these can be called anywhere in your code and your LobbyMaster/LobbyManager would handle the data received from other players.
You can easily grab the list of players by doing the following:
List<IClientMockPlayer> currentPlayers = LobbyService.Instance.MasterLobby.LobbyPlayers;
This list will auto populate with the users that join and leave/disconnect.
Lobby System Enhancements
This section is for advanced users who want to expand the lobby system past what is already there for further functionality.
Please take a look at the following classes: LobbyManager.cs LobbyPlayer.cs LobbyPlayerItem.cs
Lobby Player Manager
The lobby player manager is an example of how you would expand the lobby system itself. Right now it implements the functionality of ILobbyMaster and replaces the mock lobby system with this one during setup. You'll see that it replaces it in SetupComplete() with the following code.
LobbyService.Instance.SetLobbyMaster(this);
SetupComplete() also creates the player item for himself as well as for the already connected players.
You'll notice that you can modify the data however you please and expand on it given the Interface API that is implemented because of the system. If you want to fully understand how the implementation is done, please take a further in-depth look at LobbyService.cs (which we will not cover in this documentation at the moment as it is a lot to go over).
Lobby Player
The purpose of the lobby player is to implement the IClientMockPlayer which will allow you to implement the basic data that we require for the lobby system to work and expand on it with your own custom data. Just note that if you want that data to be synced properly for any additional logic, you would have to implement the code to be in the lobby manager as well as the LobbyService, otherwise you can always sync the data from other networked objects to the lobby manager with RPC's as well. We will have to revisit this to help make expanding the player data, but just or now I recommend taking a look at the way the data is structured and used in the Lobby Manager in order to populate it as well as the Lobby Service.
The Lobby Player is used extensively on our Lobby Manager to store the current state of a given player.
Lobby Player Item
The lobby player item prefab is used to populate itself with the data of a given player passed in. This is mostly just a ui helper and is not necessary for the player to exist as the lobby system itself will always have all the current players. For demonstration purposes we have included a simple prefab that is being populated in the provided lobby system included with Forge Networking. You are free to populate and change the ui however you please with this data passed in.
We store a reference to the Lobby system itself, but you can easily do other ways of sending the button calls to your own custom lobby system by passing in the actions and the like. This way you would remove the need to have the lobby system being stored as a reference in every lobby player item. The reason we stuck with this format is to just showcase the ease of expanding this item with future features that we plan on adding.
Start Game
The start game button sends all the players to the Game scene. How this is setup in build settings.
MultiplayerMenu -> Lobby Scene -> Game
Here is the script of Start Game, if you want to use it in other applications.
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class StartGame : MonoBehaviour
{
public void startGame (int Levelnum)
{
Application.LoadLevel(Levelnum);
}
}
Create Your Own Lobby (Easier way)
1) Create a new scene. 2) Add the LobbySystem Prefab. 3) Change the UI, Change the buttons and edit/copy off of the LobbySystem Prefab. 4) make sure the scripts in the LobbySystem prefab go into the desired area in the scene as well as the Inspector (Button scripts go in the button scripts, etc). 5) add it to MultiplayerMenu -> Lobby -> Game
Lobby Scene
This Lobby can be used for your game or used as a reference for you to make your own Lobby. This is the Game-Scene.
Lobby Overview
This system allows us to be able to control the list of players and functionality of those players at runtime. There is a basic dummy lobby master class that will be the default system chosen until overridden with either our custom Lobby Master (unity implementation) or your own Custom Lobby Master. Because of the way it is written for forge, this system does not need to be ran from Unity and can work perfectly fine on your linux builds (more on this later).
To Be Continued
As the lobby system is a great system to add to your game, we are very open to suggestions that can add further features to this as well as give the users the ability to chime in over Discord. As we add more features expect this documentation to cover that and expand.


ASCVD Risk Estimator
{% if viewer == 'clinician' %}
Clinician Version
Patient Version
{% elif viewer == 'patient' %}
Clinician Version
Patient Version
{% endif %}
Age
Ethnicity
Select
African American
Caucasian
Other
Biological Sex
Male
Female
Total Cholesterol
HDL Cholesterol
Systolic Blood Pressure
Treatment For Hypertension?
Yes
No
Smoker?
Yes
No
Diabetes?
Yes
No
Press submit to see slider inputs.
Submit
{{ description }}
About this app.


"Question: Won't you be my neighbor? Beep, boop!"
"Statement: Please enter a number for Robot Mr. Rogers to translate."
Submit
"Response:
."


filmcritic.com presents a review from staff member Max Messier. You can find the review with full credits at http://www.filmcritic.com/misc/emporium.nsf/2a460f93626cd4678625624c007f2b46/964fc1a61a259d6d882569380006014c?OpenDocument
The Replacements A film review by Max Messier Copyright 2000 filmcritic.com
I wish I could have been in the pitch meeting for this ridiculous notion of a sports film. I bet it was some hotshot Warner Brothers agent with an dark Armani suit and manicured fingernails saying, "It would be a very light comedic version of Any Given Sunday, and we could throw in the Hoosiers angle with the casting of Gene Hackman as the tough but determined coach. Throw in that hunk of a guy Keanu Reeves and a cast of wacky characters and poof! We'll have a hit on our hands!"
The Replacements is a hokey mistake of a football film, a mishmash collage of one-dimensional characters, rampant stereotypes of cultures and races, cliched emotional statements of purpose, and Keanu Reeves wishing for The Matrix sequel to start principal photography. The story is loosely based around the pro football players' strike in 1987 and a rag-tag team of replacement football players taking up the reins of professional play for a variety of teams with names like the Washington Sentinels. Keanu Reeves stars as Shane Falco, a has-been football college player looking for redemption. Gene Hackman dons a fedora like Tom Landry and speaks with gusto like a certain coach in Hoosiers.

This bunch of nobodies try to make something of themselves by taking the team to the season playoffs with unbelievable football plays, Gene Hackman yelling and asking himself where the hell Dennis Hopper is, Keanu Reeves looking for his body double making him look good on the football field, and cheerleaders hired from the local strip club making the girls from Coyote Ugly look like waitresses from Denny's.
The usual things happen like clockwork. The hero rises from the ashes of failure, the team comes together in unity, the hero falls in love with a conventional love interest, the football games are won with enough schlock value to make the most ignorant of audiences cheer and clap, and the cheerleaders make you want to go home and watch late night movies on Cinemax.
It's also a shame when decent directors with good movies under their belts go to seed and become television and sequel hacks. Howard Deutch, who was behind the camera for two of the best films of '80s - Pretty in Pink and Some Kind of Wonderful, has since been doing Grumpier Old Men and Caroline in the City episodes. Obviously the problem is that without a good script, any director will fail in the end.
Sports films are strong vehicles for cinematic glory, gritty tales involving the honor of men and the valiant efforts taken for the ultimate goal of victory in the face of insurmountable odds, the rise and fall of gallant heroes, and stories of dramatic gusto painted with blood and sweat on the battlefield of life.
The Replacements offers none of this.
Director: Howard Deutch Writer: Vince McKewin Producers: Jeffrey Chernov, Erwin Stoff, Dylan Sellers Starring: Keanu Reeves, Jon Favreau, Orlando Jones, Gene Hackman, Jack Warden, Brett Cullen
Rating: PG-13
Two stars out of five stars
http://www.amazon.com/exec/obidos/redirect?tag=filmcriticcom&path=subst/video/sellers/amazon-top-100-dvd.html Movie Fiends: Check out Amazon.com's Top 100 Hot DVDs!
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{% extends 'partials/base.html' %} {% block header %} {% include 'partials/base_header.html' %} {% endblock %} {% block content %}
Table of Contents
There may be more than one way to exploit any given vulnerability, the solutions demonstrated below aim to illustrate one way of achieving successful exploitation.
Some solutions include code snippets that are written in Python and use the requests library for HTTP requests.
The first essential step in every security test is to gain a bit of insight into the technology the remote server is using. By knowing the technologies in use, you can start building up a plan how to attack the application or the underlying infrastructure.
For GraphQL, a tool called graphw00f exists. Let's explore how it can help us achieve detection and fingerprinting of GraphQL.
Detecting where GraphQL lives is pretty trivial, there are common places where you would typically see a graphql endpoint. For example, /graphql, /v1/graphql, etc.
Point graphw00f at DVGA to figure out where GraphQL lives:
$> python3 graphw00f.py -d -t http://localhost:5000/graphql
+-------------------+
| graphw00f |
+-------------------+
*** ***
** ***
** **
+--------------+ +--------------+
| Node X | | Node Y |
+--------------+ +--------------+
*** ***
** **
** **
+------------+
| Node Z |
+------------+
graphw00f - v1.0.3
The fingerprinting tool for GraphQL
Dolev Farhi<EMAIL_ADDRESS>Checking http://dvga.example.local:5000/graphql
[*] Found GraphQL at http://dvga.example.local:5000/graphql
[*] You can now try and fingerprint GraphQL using: graphw00f.py -t http://dvga.example.local:5000/graphql
graphw00f can try and fingerprint GraphQL servers in order to determine the underlying implementation. By knowing what specific engine runs GraphQL, you can map what security mechanisms you may face during an assessment.
Point graphw00f at DVGA to figure out what technology it's running.
$> python3 graphw00f.py -t http://dvga.example.local:5000/graphql -f
[*] Checking if GraphQL is available at http://dvga.example.local:5000/graphql...
[*] Found GraphQL...
[*] Attempting to fingerprint...
[*] Discovered GraphQL Engine: (Graphene)
[!] Attack Surface Matrix: https://github.com/dolevf/graphw00f/blob/main/docs/graphene.md
[!] Technologies: Python
[!] Homepage: https://graphene-python.org
[*] Completed.
As you can see, DVGA runs graphene. Use the Attack Surface Matrix to see how Graphene ships GrapQL by default from a security perspective.


{{project.title}}
-
{% for tag in project.tags %}
- {{tag.name}} {% endfor %}
{{project.descriptionshort}}
Read more ->
{% extends "layout.nunjucks" %} {% block content %} {% import 'macros/banner.nunjucks' as nav %} {{nav.active('portfolio',bannercopy)}}
{{project.descriptionshort}}
Read more ->


•Supports up to two Intel® Pentium® III
processors with 512-KB L2 cache.
•Supports up to 4 GB of PC133 ECC SDRAM memory
with four DIMM sockets
•Six available PCI slots
(two 64-bit/66-MHz, four 32-bit/33-MHz)
•Dual integrated ATA/100
IDE
controllers
•Integrated ATI Rage
XL PCI graphics controller with 8 MB of memory
•One integrated Intel®
PRO/100+ Server Ethernet Controller


|
|
A structure for accumulating coordinates and computing statistics thereof: area, centroid, horizontality, verticality, variance and elongation. More...
#include <SegmentStatisticsProber.h>
Public Member Functions | |
| virtual void | clear () |
| Resets the statistics. | |
| virtual void | add (const int &i, const int &j) |
| Accumulate location (i,j) in the statistics. | |
| double | getSize () const |
| Returns the size of the segment. More... | |
| double | getMeanX () const |
| Returns the horizontal coordinate of centre of mass. More... | |
| double | getMeanY () const |
| Returns the horizontal coordinate of centre of mass. More... | |
| double | getHorizontality () const |
| Returns the horizontal variance $\sigma_x$ scaled with total variance $\sigma_x + \sigma_y$. Takes values in [0,1]. More... | |
| double | getVerticality () const |
| Returns the vertical variance scaled with total variance. Takes values in [0,1]. | |
| double | getVariance () const |
| Returns the total variance of the pixel coordinates. More... | |
| double | getVarianceHorz () const |
| double | getVarianceVert () const |
| double | getSlimness () const |
| Returns the proportion in which the variance equals the variance of an annulus. More... | |
| double | getElongation () const |
| Returns the proportion in which the variance equals the variance of an annulus. More... | |
| double | getEigenValue1 () const |
| double | getEigenValue2 () const |
| void | toOstr (std::ostream &ostr) const |
Protected Member Functions | |
| void | updateStats () const |
Protected Attributes | |
| bool | _updateNeeded |
| long int | size |
| Size of segment (area). | |
| long | sumX |
| Sum of coordinates. | |
| long | sumY |
| long | sumXX |
| Sum of squared coordinates. | |
| long | sumYY |
| long | sumXY |
| double | sizeD |
| Size in double precision. | |
| double | cx |
| Center of mass, x coordinate. | |
| double | cy |
| Center of mass, y coordinate. | |
| double | cxx |
| Elements of covariance matrix. | |
| double | cyy |
| double | cxy |
| double | eigenValue1 |
| double | eigenVector1x |
| double | eigenVector1y |
| double | eigenValue2 |
| double | eigenVector2x |
| double | eigenVector2y |
| double | elongation |
A structure for accumulating coordinates and computing statistics thereof: area, centroid, horizontality, verticality, variance and elongation.
This class is applied by SegmentStatisticProber which implements the recursive traversal through a segment.
All the statistics are based only on locations (i,j), not on intensities.
|
inline |
Returns the proportion in which the variance equals the variance of an annulus.
Returns getSlimness() * (1 - getElongation()). Returns the principal access ratio (e1-e2)/(e1+e2).
1-e2/e1 = e1-e2 / e1
|
inline |
Returns the horizontal variance $\sigma_x$ scaled with total variance $\sigma_x + \sigma_y$. Takes values in [0,1].
Size [ m_x = \frac{\sqrt{}}{N} ]
|
inline |
Returns the horizontal coordinate of centre of mass.
Size [ m_x = \frac{1}{N}\sum_{i=1}^N x_i ]
|
inline |
Returns the horizontal coordinate of centre of mass.
Size [ m_x = \frac{1}{N}\sum_{i=1}^N x_i ]
|
inline |
Returns the size of the segment.
Size [ s = ]
|
inline |
Returns the proportion in which the variance equals the variance of an annulus.
The variance returned by getVariance() is defined as
where is the distance from centroid .
For an annulus, with inner radius and outer radius , the area is
and the variance
Hence, for circular areas the variance varies between (for circle) and (for infinitesimally thin annulus). Obviously, these are the lower and upper limits of variance also for segments of any shape (consider a set of points, starting from two).
However, thin line segments achieve values close to those of annula. Consider a thing rectangle of "radius" , ie height :
(Under construction.)
If a segment is circular, its radius squared is , where is the area returned by getSize(). Hence, given a segment of size the variance lies between and . The annularity is the variance normalized to these limits:
|
inline |
Returns the total variance of the pixel coordinates.
Returns the squared mean radius from the centroid. In physics, moment of inertia corresponds to this quantity, assuming that the body has constant density.
|
inlineprotected |
Near undetectValue


For individuals who have studied cell biology or biochemistry, logistic regression may be familiar as dose-response curves, enzyme kinetic curves, sigmoidal curves, median lethal dose curve (LD-50) or even an exponential growth curve given limited resources.
However, in the context of predictive modeling, Logistic Regression is used as a binary classifier that toggle between the logical values of zero or one.
Logistic regression (Logit) derives its name from its similarity to linear regression, as we shall see below. The input/independent variable for Logit is the set of real numbers, (\(X ~ \in ~ \Re\)). While, the output of a Logistic Regression is not represented by {0, 1}, (\(Y ~ \notin ~ \Re\)),
\[\begin{equation} f(x) = ~~ \left \{ \begin{matrix} 0 ~~for~~ x < 0 \\ 1 ~~for~~ x \geq 0 \end{matrix} \right. \end{equation}\]
Using Logistic Regression, we may calculate the presence or absence of a product or quality that we wish to model given a difficult situation where the transition is not clear.
In the figure below, the function’s domain, \(X \in \{-\infty\) to \(\infty\}\), whereby its range is {0, 1}. In the figure, the decision boundary is \(x ~=\) 0, denoted by the red dotted line. At the inflection point the curves range changes from zero, absence, to one, the presence of quality or item.
The logistic growth curve is commonly denoted by:
\[\begin{equation} f(x) ~=~ \frac{M}{1 + Ae^{-r(x - x_0)}} \end{equation}\]
where \(M\) is the curve’s maximum value, \(r\) is the maximum growth rate (also called the Malthusian parameter 55), \(x_0\) is the midpoint of the curve, \(A\) is the number of times that the initial population must double to reach \(M\).56
In the specific case of Logistic Regression for Binary Classification where we have a probability between 0 and 1, \(M\), and \(A\) take on the value one.
\[\begin{equation} f(x) ~=~ \frac{1}{1 + e^{-(WX+b)}} \end{equation}\]
Since the logistic equation is exponential, it is easier to work with the formula in terms of its odds or log-odds. Odds are the probabilities of success over failure denoted as \(\Large \frac{p}{1-p}\) and more importantly, in this situation, log-odds are \(ln \left (\frac{p}{1-p} \right )\).
Simply by using log-odds, logistic regression may be more easily expressed as a set of linear equations in x.57 Hence we can now go from linear regression to logistic regression.
Step #1: \[\begin{equation} ln ~ \left ( \frac{Pr(y_i ~=~ 1|x_i)}{Pr(y_i ~=~ 0|x_i)} \right ) =~ \beta_0 + \beta_1 x_1 +~ ... ~+ \beta_{n} x_{n} \end{equation}\]
Step #2: Substitute (\(p\) for \(Pr(y_i ~=~ 1|x_i)\)) and (\(1-p\) for \(Pr(y_i ~=~ 0|x_i)\)) and change notation to summation on the right hand side;
\[\begin{equation} ln \left( \frac {p}{1-p} \right) =~ \sum_i^{k} \beta_i x_i \end{equation}\]
Step #3: Eliminate the natural log by taking the exponent on both sides;
\[\begin{equation} \frac {p}{1-p} =~ exp \left ( \sum_i^{k} \beta_i x_i \right ) \end{equation}\]
Step #4: Substitute \(u = \sum_i^{k} \beta_i x_i\);
\[\begin{equation} \frac {p}{1-p} =~ e^u \end{equation}\]
Step #5: Rearrange to solve for \(\large p\);
\[\begin{equation} p(u) ~=~ \frac{e^u}{1 + e^u} \end{equation}\]
Step #6: Incidentally, to find the probabilities, take the derivative of both sides using quotient rule;
\[\begin{equation} p'(u) ~=~ \frac {(e^u)(1 + e^u) - (e^u)(e^u)}{(1 + e^u)^2} \end{equation}\]
Step #7: Simplify;
\[\begin{equation} p'(u) ~=~ \frac {e^u}{(1 + e^u)^2} \end{equation}\]
Step #8: Separate out to produce two fractions;
\[\begin{equation} p'(u) ~=~ \left ( \frac {e^u}{1 + e^u} \right ) \cdot \left ( \frac{1}{1 + e^u} \right ) \end{equation}\]
Step #9: Substitute our previous success and failure variables back into place;
\[\begin{equation} p'(u) ~=~ p(u) \cdot ( 1 - p(u)) \end{equation}\]
Now we can calculate the probabilities as well as the values for any given x value.
# Load Libraries
Libraries <- c("knitr", "readr", "tidyverse", "caret")
for (p in Libraries) {
library(p, character.only = TRUE)
}
# Import relevant data
c_m_TRANSFORMED <- read_csv("./00-data/02-aac_dpc_values/c_m_TRANSFORMED.csv",
col_types = cols(Class = col_factor(levels = c("0", "1")),
PID = col_skip(),
TotalAA = col_skip()))
# Partition data into training and testing sets
set.seed(1000)
index <- createDataPartition(c_m_TRANSFORMED$Class, p = 0.8, list = FALSE)
training_set.1 <- c_m_TRANSFORMED[index, ]
The test.set.1
and Class.test
data sets are not produced since the Logit run with 20 features was not deemed useful. The reason for its dismissal was that is contained extraneous features.
The first training run is to determine if all 20 features (amino acids) are necessary for our logistic regression model.
set.seed(1000)
start_time <- Sys.time() # Start timer
# Create model, 10X fold CV repeated 5X
tcontrol <- trainControl(method = "repeatedcv",
number = 10,
repeats = 5)
model_obj.1 <- train(Class ~ .,
data = training_set.1,
trControl = tcontrol,
method = "glm",
family = "binomial")
end_time <- Sys.time() # End timer
end_time - start_time # Display time
## Time difference of 5.241524 secs
##
## Call:
## NULL
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -5.9372 -0.2835 -0.0194 0.0516 3.6884
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 8.0525 9.2156 0.874 0.382234
## A 5.0438 9.6899 0.521 0.602699
## C -14.2228 2.6949 -5.278 1.31e-07 ***
## D -36.2676 8.0845 -4.486 7.25e-06 ***
## E 27.6016 11.1292 2.480 0.013135 *
## F 5.6174 5.2654 1.067 0.286034
## G -22.1970 10.3043 -2.154 0.031229 *
## H 90.1101 12.1105 7.441 1.00e-13 ***
## I -5.9795 4.3945 -1.361 0.173610
## K -2.8961 9.8468 -0.294 0.768669
## L -3.7417 9.2217 -0.406 0.684926
## M -0.1427 12.0747 -0.012 0.990570
## N 3.3478 9.6749 0.346 0.729319
## P -39.7466 11.1010 -3.580 0.000343 ***
## Q -5.6804 11.2516 -0.505 0.613664
## R -83.6045 11.8104 -7.079 1.45e-12 ***
## S -9.9745 10.0872 -0.989 0.322750
## T -36.5980 9.2791 -3.944 8.01e-05 ***
## V 16.3411 9.7859 1.670 0.094946 .
## W 9.0169 13.8870 0.649 0.516141
## Y -31.9282 11.1167 -2.872 0.004078 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 2593.68 on 1872 degrees of freedom
## Residual deviance: 657.72 on 1852 degrees of freedom
## AIC: 699.72
##
## Number of Fisher Scoring iterations: 8
The Akaike information criterion (AIC)58 for model #1 is 699.72. This will be used later to compare the models generated to rate their ability to utilize the features best. - The list of probabilities for the estimates leaves us with only 9 important features to try re-modeling, R, H, P, C, E, Y, T, D, G.
# Data import & handling
c_m_9aa <- read_csv("./00-data/02-aac_dpc_values/c_m_TRANSFORMED.csv",
col_types = cols(Class = col_factor(levels = c("0", "1")),
A = col_skip(), F = col_skip(),
I = col_skip(), K = col_skip(),
L = col_skip(), M = col_skip(),
N = col_skip(), PID = col_skip(),
Q = col_skip(), V = col_skip(),
S = col_skip(), TotalAA = col_skip(),
W = col_skip()))
# Partition data into training and testing sets
set.seed(1000)
index <- createDataPartition(c_m_9aa$Class, p = 0.8, list = FALSE)
training_set.2 <- c_m_9aa[ index, ]
test_set.2 <- c_m_9aa[-index, ]
Class_test.2 <- as.factor(test_set.2$Class)
set.seed(1000)
start_time <- Sys.time() # Start timer
# Create model, 10X fold CV repeated 5X
fitControl <- trainControl(method = "repeatedcv",
number = 10,
repeats = 5,
savePredictions = "final") # IMPORTANT: Saves predictions
model_obj.2 <- train(Class ~ .,
data = training_set.2,
trControl = fitControl,
method = "glm",
family = "binomial")
end_time <- Sys.time() # End timer
end_time - start_time # Display time
## Time difference of 3.936663 secs
##
## Call:
## NULL
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -6.2083 -0.2984 -0.0204 0.0601 3.5666
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 8.306 1.007 8.245 < 2e-16 ***
## C -14.755 1.908 -7.733 1.05e-14 ***
## D -31.411 4.949 -6.347 2.20e-10 ***
## E 21.932 5.092 4.307 1.66e-05 ***
## G -23.259 5.071 -4.587 4.49e-06 ***
## H 94.580 8.431 11.218 < 2e-16 ***
## P -29.394 6.264 -4.692 2.70e-06 ***
## R -82.809 6.363 -13.015 < 2e-16 ***
## T -40.915 5.624 -7.275 3.45e-13 ***
## Y -37.860 6.291 -6.018 1.77e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 2593.68 on 1872 degrees of freedom
## Residual deviance: 688.96 on 1863 degrees of freedom
## AIC: 708.96
##
## Number of Fisher Scoring iterations: 8
Predicted_test_vals <- predict(model_obj.2, test_set.2[, -1])
confusionMatrix(Predicted_test_vals, Class_test.2, positive = "1")
## Confusion Matrix and Statistics
##
## Reference
## Prediction 0 1
## 0 235 18
## 1 8 206
##
## Accuracy : 0.9443
## 95% CI : (0.9195, 0.9633)
## No Information Rate : 0.5203
## P-Value [Acc > NIR] : < 2e-16
##
## Kappa : 0.8883
##
## Mcnemar's Test P-Value : 0.07756
##
## Sensitivity : 0.9196
## Specificity : 0.9671
## Pos Pred Value : 0.9626
## Neg Pred Value : 0.9289
## Prevalence : 0.4797
## Detection Rate : 0.4411
## Detection Prevalence : 0.4582
## Balanced Accuracy : 0.9434
##
## 'Positive' Class : 1
##
fp_fn_logit <- model_obj.2 %>% pluck("pred") %>% dplyr::filter(obs != pred)
# Write CSV in R
write.table(fp_fn_logit,
file = "./00-data/03-ml_results/fp_fn_logit.csv",
row.names = FALSE,
na = "",
col.names = TRUE,
sep = ",")
nrow(fp_fn_logit) ## NOTE: NOT UNIQUE NOR SORTED
## [1] 536
Logit is easy to implement and understand and can be used for feature selection.
Considering the table Logit Models, below, it is clear that model #2 with nine features best describes the better of the two models.
Akaike Information Criterion 59
\[\begin{equation} AIC ~=~ 2 K ~-~ 2ln (\widehat{L}) \end{equation}\]
Where \(ln (\widehat{L})\) is the log-likelihood estimate, \(K\) is the number of parameters.
| Model # | Features | AIC |
|---|---|---|
| 1 | 20 | 699.72 |
| 2 | 9 | 708.96 |
Logit is a common machine learning method. It is easy to understand and explain. This supervised binary classification method is very useful for determining the importance of the features which can be applied. As we saw in Model#1, there were 11 features that had probabilities of the estimates used above the 5% threshold cut-off. In Model#2, only nine features were used to describe the model, and the AIC increased by 9.24.
The nine features which best described the logistic regression model were R, H, P, C, E, Y, T, D, G. If we compare this to the Boruta test carried out in the EDA, we find the overlap interesting.
| Test | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Boruta | R | H | P | K | C | E | Y | T | S | A | V | U | I | F | D | G | N | L | M | Q |
| Logit-9 | R | H | P | . | C | E | Y | T | . | . | . | . | . | . | D | G | . | . | . | . |
The first 7 out of 8 amino acid features are seen in the proper order, as described by the Boruta Random Forest model. This is confirmation that Logit can pick up the importance of features similar to Boruta.
Logit produced 536 proteins, which are false-negatives or false-positives. It should be noted that the 536 are NOT UNIQUE NOR SORTED. The number of unique FN/FP from the confusion matrix is 26. These proteins will be investigated further in the Outliers chapter, which compares these FN/FP proteins to the PCA outliers.
The two tests for Logit (using 20 then 9 features) is interesting. This shows that Logit is an alternatvie way of choosing the importance of features. As can be seen in the table “Comparison of Boruta Vs Logit: Order of Importance” it was seen that the first seven features lined up very closely with the Boruta Random Forest feature order of importance.


Corbyn: Labour would 'sort' Brexit quicker than Tories - video
by ReutersJeremy Corbyn has claimed Labour's Brexit policy would enable the party to 'sort' Brexit more quickly than the Conservatives. Speaking in Harlow, Essex, the Labour leader said: '[Boris] Johnson's sell-out deal still won't get Brexit done. It will lead to years of continuing negotiations and uncertainty'


{# Section for filtering the selection of publications. #}
Note: Each filter is applied in turn, so that it works on the set of publications produced by the previous one.
A general selection expression evaluator for generating any subset is available here.
Filter publications based on the assigned labels. A publication must contain at least one of the selected labels.
This filter is not applied if no labels are selected.Filter publications based on the assigned labels. A publication must contain all selected labels.
This filter is not applied if no labels are selected.Filter publications based on the assigned labels. A publication must not contain the selected labels.
This filter is not applied if no labels are selected.


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| category-extras-0.53.6: Various modules and constructs inspired by category theory | Contents | Index |
|
| Control.Functor.Composition | | Portability | non-portable (class-associated types) | | Stability | experimental | | Maintainer | Edward Kmett<EMAIL_ADDRESS>|
|
|
|
| Description |
| Generalized functor composition.
Since we have many reasons for which you might want to compose a functor, and many
expected results. i.e. monads via adjunctions, monads via composition with a pointed
endofunctor, etc. we have to make multiple composition operators.
|
|
| Synopsis |
|
|
|
| Documentation |
|
| newtype CompF f g a |
| Basic functor composition
| | Constructors | | | Instances | |
|
|
| class Composition o where |
| | Methods | | decompose :: (f `o` g) x -> f (g x) | | | compose :: f (g x) -> (f `o` g) x |
| | | Instances | |
|
|
| associateComposition :: (Functor f, Composition o) => ((f `o` g) `o` h) :~> (f `o` (g `o` h)) |
| The only reason the compositions are all the same is for type inference.


Lewis Capaldi reveals he wrote heartbreaking new song about his aunt taking her own life
The singer's auntie commit suicide when he was a child
by Kendra BeckerLewis Capaldi has revealed he wrote his heartbreaking new song, Before You Go, about his aunt taking her own life.
The Scottish singer released the song earlier this week, and described it as “one of the most personal songs” he’s ever written.
Speaking to Zane Lowe on Apple Music’s Beats 1 Radio, he explained: “The song’s kind of, it comes from a place of… it’s about suicide and it’s about not necessarily the act of it itself obviously, but people after it happens.”
“The aftermath of it and people blaming themselves or starting to think, what could I have done to help that person?”
“When I was about five or six, I think, my aunt committed suicide and just remember recently speaking to my mum about their feelings, her feelings about going through that sort of rigmarole in your head of, ‘What could I have done here? Could I have done anything?'”
“But she said it was the thing of, at first you’re angry. You’re obviously upset and then you kind of get angry at them, and then you get angry at yourself. She said it was this whole kind of … it’s very, very strange,” Lewis said.
Lewis released his new song just one day before he received his first Grammy nomination.
His hit song ‘Someone You Loved’ is up for Song of the Year, going up against Taylor Swift’s ‘Lover’, Billie Eilish’s ‘Bad Guy’, Lizzo’s ‘Truth Hurts’, and Lady Gaga’s ‘Always Remember Us This Way’.


About This Course
Contents
Models of Matter
It’s important to realise that in general simple models are neither tractable, nor display simple behaviour! To take an example: all students of physics are familiar with the Ising model of magnetism, which caricatures a lattice of magnetic ions and their complex interactions. The Ising model is defined in terms of an energy function
where the ‘spin’ variables $\sigma_j$ take the values $\pm 1$. The notation ${\langle j\,k\rangle}$ indicates that the sum is over all nearest neighbour pairs on some (e.g. cubic) lattice. A negative coupling $J<0$ tends to promote alignment of the spins.
The calculation of the partition function of the Ising model, and hence of its thermodynamic behaviour, is simple in 1D, extremely hard in 2D, and – as far as we know – impossible in the most interesting case of three dimensions. As well as being intractable, it is also highly unrealistic. The complexity of the magnetic atom, consisting of tens of electrons, is reduced to a single variable describing the spin only, which is not even treated quantum mechanically. Why on earth should we care?
The point is that the Ising model is a minimal working example. It is designed with the minimal set of ingredients necessary to demonstrate the phenomenon of ferromagnetism. The puzzle it seeks to explain is: how do a large number of microscopic ‘magnets’ (the spins), undergoing thermal fluctuations that are constantly seeking to randomize their direction, decide to develop a macroscopic magnetization in a particular direction? Why does the magnetization appear abruptly at the the Curie temperature, rather than gradually? Obviously the spins cannot be independent. The fact that the Ising model has a magnetic transition shows us that a nearest neighbour coupling is enough.
That we can cook up such minimal models and analyze them, even if we can’t solve them exactly, gives us confidence that whether we are talking about Iron, Nickel, or Cobalt, the essence of the magnetic transition is the same. By understanding something about the Ising model, we can say we have understood something about magnetism in general.
This certainly doesn’t mean the end of story, of course. Firstly, one can try to move towards a more realistic description of ferromagnetism. What is the microscopic origin and size of the coupling? Why does Cobalt have a higher Curie temperature than Nickel? How does the magnetism interact with other properties of the metal? These are all valid questions beyond our minimal working example.
Secondly, one can ask whether, with similar models, one can describe qualitatively different phenomena. If $J>0$ do the spins anti-align at some transition? What if we change the lattice? Make it disordered? Let $\sigma_j$ be a vector instead of a scalar? Make it truly quantum?
This course pursues this second line of investigation. We will look at the simplest models decribing interacting bosons, fermions, and spins, and try to describe the properties of the states of matter that they form. These states of matter – magnets, metals, superconductors – have real world counterparts, and by studying their toy versions we learn what makes them tick. This strategy of introducing and analyzing new models is one of the ways in which theorists try to learn what states of matter may exist, and under what conditions.
Structure of the Course
Prerequisites
You should have taken a quantum mechanics course at the level of the advanced quantum course in Part II. You don’t need to have taken TP2. One of the main methods we use – second quantization – is covered in TP2 but will be introduced again from scratch.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
This dish has a touch of theatre in the serving. If you don’t have smoke gun, try it without – it still tastes lovely.
In a warm pan, place the potato, cherry tomatoes, mixed peppers, olives, caper berries and green beans, along with some rapeseed oil.
Heat through allowing to colour lightly, then take off the heat and keep to one side.
In a non-stick pan fry the scallops, taking care to get a nice golden-brown colour on both sides. Drop a knob of butter into the pan just before they are cooked.
For the dressing, combine the chives with the natural yoghurt, and season to taste
To serve, put the salad leaves and quails eggs into into the centre of the serving plate. Arrange the beans, potatoes, olives, caper-berries, peppers and tomatoes around the plate. Put the seared scallops on top of the salad and garnish with the natural yoghurt and chive dressing.
To smoke, place a glass dome on top of the plate, place the tube of a smoke gun inside and smoke for a few minutes.
To serve, remove the dome in front of the guest.


You select Susan.
Immediately, a younger child around the age of 9 walks into the room.
You recognize this child.
You had been advising her previously due to her Attention Deficit Hyperactivity Disorder (ADHD)
"Hey Susan. What can I do for you today?"
"Hi {{firstName}}. It's not going too well."
"The app said that I should see you about my grades"
"Sure thing, just give me a second to pull it up"
Although you have many criticisms of the app, one thing that always stood out to you was the clarity of the user interface.
You enter Susan's full name into the database.
As soon as you hit enter, the screen prints in bright red letters:
Warning: Student has a 99.4% chance of failing this semester
Immediately, thoughts begin rushing to your head.
Could this algorithm be incorrect?
You had expected Susan to not be performing very well due to her condition, but by this much?
How is the algorithm calculating such a number? The actual number is suspiciously precise.
We are only 3 months into the semester, how far can it actually predict ahead?
And most importantly, how would Susan react if I told her this information?
She already has a learning disability.
Something like this would crush her morale.
However, you are an advisor, it is your duty to tell students the truth. What kind of advisor would lie to a student about their grades?


Enjoy its white sand and turquoise beaches, while you eat fresh seafood caught by locals, followed by aquatic adventures.
Stroll trough the mystic streets of Morocco and see the striking sunset in the Sahara.
Enjoyed the art that surrounds the city while you discover local boutiques and chic restaurants!


Electronics Engineer | Freelancer
I'm Ali
I work at Picatinny Arsenal as an Electronics Engineer.
I Co-founded Arcane Reality in June 2016 doing VR software development. After helping complete the prototype for our game Overduty VR, I left to pursue Hardware Design.
I worked as an intern at Tomorrow Lab in 2018, learning a lot about PCB and Product Design.
From March 2019 till June 2020 I worked at Raytheon Missile Systems in Tucson, AZ. I happily left in search of a job that would allow me to harness my creativity while meeting the engineering requirements expected.
I graduated with my Bachelor's degree in Electrical and Computer Engineering (ECE) May 2016. I have completed my Master's in ECE, this summer 2021.
Click on the projects tab to learn about some things I've worked on. Each page will go over some examples.


◆ __init__()
| def fluid_transport_solver.FluidTransportSolver.__init__ |
( |
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self, |
|
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model, |
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custom_settings |
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) |
| |
◆ AddDofs()
| def fluid_transport_solver.FluidTransportSolver.AddDofs |
( |
|
self | ) |
|
◆ AddVariables()
| def fluid_transport_solver.FluidTransportSolver.AddVariables |
( |
|
self | ) |
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◆ AdvanceInTime()
| def fluid_transport_solver.FluidTransportSolver.AdvanceInTime |
( |
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self, |
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current_time |
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) |
| |
◆ Check()
| def fluid_transport_solver.FluidTransportSolver.Check |
( |
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self | ) |
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◆ Clear()
| def fluid_transport_solver.FluidTransportSolver.Clear |
( |
|
self | ) |
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◆ ComputeDeltaTime()
| def fluid_transport_solver.FluidTransportSolver.ComputeDeltaTime |
( |
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self | ) |
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◆ FinalizeSolutionStep()
| def fluid_transport_solver.FluidTransportSolver.FinalizeSolutionStep |
( |
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self | ) |
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◆ GetComputingModelPart()
| def fluid_transport_solver.FluidTransportSolver.GetComputingModelPart |
( |
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self | ) |
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◆ GetDefaultParameters()
| def fluid_transport_solver.FluidTransportSolver.GetDefaultParameters |
( |
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cls | ) |
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◆ GetMinimumBufferSize()
| def fluid_transport_solver.FluidTransportSolver.GetMinimumBufferSize |
( |
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self | ) |
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◆ ImportModelPart()
| def fluid_transport_solver.FluidTransportSolver.ImportModelPart |
( |
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self | ) |
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◆ Initialize()
| def fluid_transport_solver.FluidTransportSolver.Initialize |
( |
|
self | ) |
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◆ InitializeSolutionStep()
| def fluid_transport_solver.FluidTransportSolver.InitializeSolutionStep |
( |
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self | ) |
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◆ Predict()
| def fluid_transport_solver.FluidTransportSolver.Predict |
( |
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self | ) |
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◆ PrepareModelPart()
| def fluid_transport_solver.FluidTransportSolver.PrepareModelPart |
( |
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self | ) |
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◆ Solve()
| def fluid_transport_solver.FluidTransportSolver.Solve |
( |
|
self | ) |
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◆ SolveSolutionStep()
| def fluid_transport_solver.FluidTransportSolver.SolveSolutionStep |
( |
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self | ) |
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◆ computing_model_part
| fluid_transport_solver.FluidTransportSolver.computing_model_part |
◆ computing_model_part_name
| fluid_transport_solver.FluidTransportSolver.computing_model_part_name |
◆ convergence_criterion
| fluid_transport_solver.FluidTransportSolver.convergence_criterion |
◆ domain_size
| fluid_transport_solver.FluidTransportSolver.domain_size |
◆ linear_solver
| fluid_transport_solver.FluidTransportSolver.linear_solver |
◆ main_model_part
| fluid_transport_solver.FluidTransportSolver.main_model_part |
◆ min_buffer_size
| fluid_transport_solver.FluidTransportSolver.min_buffer_size |
◆ nodal_area_process
| fluid_transport_solver.FluidTransportSolver.nodal_area_process |
◆ scheme
| fluid_transport_solver.FluidTransportSolver.scheme |
◆ Solver
| fluid_transport_solver.FluidTransportSolver.Solver |
The documentation for this class was generated from the following file:
- /home/runner/work/Documentation/Documentation/master/applications/FluidTransportApplication/python_scripts/fluid_transport_solver.py


.
Modelica
.
Magnetic
.
QuasiStatic
.
FluxTubes
.
UsersGuide
.
Literature
Information
References
[Raabe2012]
N. Raabe, "
An approach for modelling quasi-stationary magnetic circuits
,"
Modelica Conference
, pp. 167-172, 2012.
Additional References
Additional reference on magnetic flux tubes are listed in
Modelica.Magnetic.FluxTubes
.
Generated at 2019-01-25T16:44:03Z by
OpenModelica 1.14.0~dev-130-gefa44fb


DockerizeRails
Installation
Add this line to your rails application's Gemfile:
gem 'dockerize_rails'
And then execute:
$ bundle install
Usage
First create the configuration file .dockerize.yml
for the gem
itself. Run: bundle exec dock configure
to generate the
template. Use --tiny
option to skip the description of
configuration fields: bundle exec dock configure --tiny
.
To create the docker config files (Dockerfile, provisions,
docker-compose.yml etc.) run: bundle exec dock dockerize
. To
create docker environment for running tests use --test-env
option: bundle exec dock dockerize --test-env
.
Use docker-compose
to run application in docker:
docker-compose build && docker-compose up -d
.
If you see migration error in browser run the following commands:
$ docker-compose down # stop and destroy all running containers
$ docker-compose up -d mysql # if application uses postgresql database use 'postgresql' instead of 'mysql'
$ sleep 30 # wait 30 seconds to let the database container start properly
$ docker-compose up -d rails # now start the rails container
To remove docker configurations: bundle exec dock undockerize
.
Use --purge
option to remove .dockerize.yml
file:
bundle exec dock undockerize --purge
All available commands:
$ bundle exec dock help
$ bundle exec dock configure [ --tiny ]
$ bundle exec dock dockerize [ --test-env ]
$ bundle exec dock undockerize [ --purge ]
$ bundle exec dock docker_info
$ bundle exec dock docker_pull
$ bundle exec dock docker_build [ --log | --rebuild | --rebuild --force ]
$ bundle exec dock docker_start
$ bundle exec dock docker_stop [ --delete ]
$ bundle exec dock docker_delete [ --force ]
Help message:
Usage: dock <command>
or: bundle exec dock <command>
commands:
configure, c, rc, cr - Generates '.dockerize.yml'
[--tiny] -- Generates shorter config file, skipping all descriptions
dockerize, dc, d - Generates docker config files
[--test-env] -- Generates configurations to run tests.
undockerize, ud, du, u, dd - Removes docker configurations
[--purge] -- Also removes .dockerize.yml
docker_info, info - Shows Docker information
docker_pull, pull - Pulls base Docker images (ruby, mysql/postgres)
docker_build, build - Builds Docker images
[--log] -- Displays/Streams build log
[--rebuild] -- Deletes images if exists and rebuilds
[--force] -- Force Image deletion. Works only with --rebuild option
docker_start, start - Run/Starts Docker containers
docker_stop, stop - Stops Docker containers
[--delete] -- Also deletes the containers
docker_delete, delete - Deletes Docker containers
[--force] -- Force Container deletion.
help, h - Prints this message
Demonstration (V: 1.0.1.beta.2)
Development
After checking out the repo, run bin/setup
to install
dependencies. Then, run rake spec
to run the tests. You can
also run bin/console
for an interactive prompt that will allow
you to experiment.
Contributing
Bug reports and pull requests are welcome on GitHub at github.com/eendroroy/dockerize_rails. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.
License
The gem is available as open source under the terms of the MIT License.


WITNESS LIST
Technology Committee
March 10, 2011 - 8:00 AM
INVITED TESTIMONY
On:
Deitz, Adam (Ortho Kinematics, Inc.)
Harrison, Matthew (Self; INCUBE LABS LLC)
Mayes, Gray (Texas Instruments)
Nat, Andrew (Texas Life Science Center)
OBrey, Jim (Verizon Wireless)
Reynolds, Carl (Office of Court Administration)
Sproull, Bill (Texas Emerging Technology Fund Advisory Committee)
INVITED TESTIMONY Tx Technology
For:
Braddock, Cliff (Robust Energy, LLC & Tx CHP Initiative)
1


Confirm change
Old appointment:
{{
ui_element_macros.appointment_summary({
appointment_date: 'Wednesday 3rd February 2016',
appointment_time: '08:30',
appointment_days_away: '10',
avatar_img_path: '/public/images/icon-avatar-helen-leaf.png',
name: 'Dr Helen Leaf',
position: 'GP',
gender: 'female',
appointment_length: '10',
appointment_type: 'face to face',
appointment_type_class: 'face-to-face'
})
}}
New appointment:
{{
ui_element_macros.appointment_summary({
appointment_date: 'Monday 1st February 2016',
appointment_time: '11:00',
appointment_days_away: '10',
avatar_img_path: '/public/images/icon-avatar-malcolm-branch.png',
name: 'Dr Malcolm Branch',
position: 'GP',
gender: 'male',
appointment_length: '10',
appointment_type: 'face to face',
appointment_type_class: 'face-to-face'
})
}}