Green LED Blinking 7 Times with Rainbow Colour Image on Screen

According to R-Pi Troubleshooting with 7 flashes of the green led the kernel.img is not found. I do not have any experience with android things but in general the Raspberry Pi boot loader expects its boot files including the kernel image on the first partition of the SD Card. This partition must be formated with the FAT file system. So please check if this conditions are met. To compare, the boot partition of the official supported Raspbian Stretch Lite 2019-04-08 contains this files:Further information about the boot process you can find at Boot flow

1. How much would people pay for a rainbow loom bracelets?

2 or more

2. Deep Purple, Rainbow, or Blackmore's Night?

I am the man on the silver mountaiiiin

3. How can a gay turn a rainbow into a icon for gay rights?

"I have nothing against them"

4. Does Rainbow Table Not Require Decompression?

No. The compression does not work like traditional RLE or LZMA style compression.Rainbow tables are, essentially, a lookup table which allows you to find a string given its hash. They are designed to be incredibly efficient at finding a hash in the index across billions of entries, while minimising disk space. Now, imagine you are building a table for lots and lots of strings. The hashes of some of these strings start with the same bytes - for example, "StackExchange", "ILikeWaffles9", "ILikeWaffles13507", and "Decompression242" when hashed with MD5 all start with 0xF2. Instead of storing all three hashes fully, you can construct a tree-like structure such that data looks like this:Note that the hashes are sorted by numeric order. In fact, since the first two strings also share the same second byte (0x17) these can also be chained:This also allows you to perform a lookup incredibly quickly - instead of having to search the full table, you only have to traverse the tree, and then search through a smaller list of hashes. Since the hashes are sorted, you can perform a binary search, which also has very good performance.As an example, if I have the hash f217f4a64e4036025c07b24a96ec787a, I look for the first tree node f2, then look to see if there's a sub-node for the second byte, 17. There is, so I continue down. I check to see if there's a sub-node for f4. There is not , so I now search through the list within the f2 -> 17 node. I know that f4 is likely to be near the end of that list, so I start there. I find that the hash matches the one I am searching for, so I now know that the plaintext is "Decompression242".It is also incredibly space-efficient when you've got millions or billions of hashes, because you do not duplicate parts of the hash that are shared with other plaintexts.EDIT: Sorry, I should have pointed out that this is not literally how rainbow tables work. This is just an example of how compression can work in this regard, without needing to actually save a full hash for each plaintext. I did not mean to imply otherwise. IMSoP's answer better describes the actual workings.The key thing to remember is that rainbow tables are only useful when you want to do multiple hash searches for that hash type. You generate a rainbow table for a particular string list or character list ahead of time, only once, and then you can use that generated data set as many times as you like. It's a trade-off of doing a lot of work ahead of time, so that your later searches are very fast.Another key thing is that any hash system which includes a salt automatically renders rainbow tables useless, since each password and salt combination should (ideally) be unique and long enough to make it impractical to build a rainbow table for every possible password and hash combination.

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