## Need some ideas to achieve data marketplace through hyperledger

I am trying to create a data marketplace where a party can transact with other parties, agree on the set of terms and sell data from one to another.

Here data security is of utmost concern. A party makes data available on the hyperledger, this data should be secured and no one should get hold of it. If an interested party wants this data, they have to transact with data owner party and agree on the set of terms. Only then the interested party will get the data. And now only two parties should have hold of this data. Everyone else should not get hold of it.

I would like to know what components of hyperledger can be used here. I have an idea of private data concept in hyperledger, but not sure how and where it would fit.

Would love to hear some comments from experts regarding this.

## How to achieve single domain > multiple stores > different products and prices per store

I need to build out multiple Magento ‘stores’ on a single website, with each ‘store’ representing a unique partner who offers a different combination of products from our global catalog.

For example, if our global catalog contains 10 products [p1,p2,p3,…p10], and we want the following configuration…

• “Partner A” store at “//domain.xyz/store/partner-a” only offers products p1, p3, p5, p7, and p9.
• “Partner B” store at “//domain.xyz/store/partner-b” only offers products p2, p4, p6, and p8.
• “Partner C” store at “//domain.xyz/store/partner-c” offers all 10 products, but with different retail prices from partners A and B.

…is this possible with Magento 2.x?

My current overall understanding of Magento 2.x is:

• Multiple stores on one website is possible.
• Each product can have a different price per store if we define our price scope as ‘website’ rather than ‘global’.

• Each store can feature a different (but not mutually exclusive) list of products if we set each store up with a new ‘root category’ defining that store’s available products.

Am I off-base in any way? If so, are there any proven ways, or even easier ways, to accomplish what I’m looking to do?

## What swirly bokeh technique is this and how can I achieve it?

What is the technique used to capture this image? How can the result be achieved? I know that it can be achieved in a digital darkroom but how can I replicate the effect straight out of the camera?

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## How do I achieve soft, dreamy, old-like photos? (May be thru film)

How do I achieve soft, dreamy, old-like photos? (May be thru film) Here are some examples:

• https://instagram.com/p/BK27QsrgNs3/
• https://instagram.com/p/BLWLA0Ngqfh/
• https://instagram.com/p/BiHwFSxgUVG/
• https://instagram.com/p/BcAlAbTBMoH/
• https://instagram.com/p/BbubGiUh9AC/
• https://instagram.com/p/BW8IDA7ATzl/

It seems like they all may be film photography? If so, how do you achieve outcomes like this through film? And if it also is attainable with digital, how can you do this as well?

Still learning with film/digital, but I mostly take interest in film. Any help would be greatly appreciated!

## Is there an algorithm to achieve optimal compression in a “streamed” manner, assuming equal probability of each possibility?

(Sorry for the question title; edits are welcome.)

Let’s say that you have a set of data made of repeating units, consisting of a value with $$2$$ possibilities, a value with $$3$$ possibilities, $$5$$ possibilities, $$4$$ possibilities, repeat. The total number of possibilities per unit is $$2\times3\times5\times4=120\text{ possibilities}$$. Assuming that these are all equally probable, that’s $$\log_2120\approx6.9\text{ bits}$$. This means that the minimum space required to represent $$1$$ unit is $$1\text{ Byte}$$, but the minimum space required to represent $$1000$$ units is $$864\text{B}$$.

The naïve way of producing this compression would be to put them all into a base-120 number, then convert this to binary. However, this requires having access to all of the data at once in order to decompress it. There must[citation needed] be some algorithm that can take in a stream of compressed data, output a stream of decompressed data, and only use finite memory, but I can’t find one.

Please describe and explain such an algorithm, if one exists.

## What does this phishing email achieve?

So basically it is formatted as an email from Google notifying me that I need to respond to an intrusion attempt on my account.

Two things are notable: the 38 other recipients are nicely collapsed underneath ’38 more’ and my google id (blurred) appears several times in the recipients list (blurred but framed in red) . I understand this allows them to exfiltrate that piece of information (my id).

There are no other links that these href mailto links.

## How to achieve a vignette effect without post processing?

I was searching a technique for making the vignette effect without image editing.

Maybe with a low F number and a short focal lenght?

If is useful, I use a Nikkor AF-S DX 18-55 F3.5 – 5.5 G and a Nikon D3200.

Thanks.

## How can I achieve turquoise in Darktable?

I’m new to Darktable but I have my workflow in Lightroom.
My main style is turquoise color (based on blue) and I wanted to do that in Darktable but I cannot manage to do it.

How I do it on Lightroom:

• Camera Calibration: Red (Hue) > +50
• Camera Calibration: Blue (Hue) > -50
• HSL: Blue (Hue) > -75
• HSL: Blue (Saturation) > -60

Plus some minor adjustments but these are the main one.

Here you can see a before/after of what it can do:

I cannot achieve this in Darktable because I can only change color in Color Zone. And when I shift Blue toward Turquoise, the color become greenish, and it’s weird.
Anyway, I hope you can help me 🙂