feat(storage): add binary to train dictionary compression

[DvirYo-starkware]

Pull Request type

Please check the type of change your PR introduces:

• Bugfix
• Feature
• Code style update (formatting, renaming)
• Refactoring (no functional changes, no API changes)
• Build-related changes
• Documentation content changes
• Other (please describe):

What is the current behavior?

Issue Number: N/A

What is the new behavior?

Does this introduce a breaking change?

• Yes
• No

Other information

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This change is 

[DvirYo-starkware]

Reviewable status: 0 of 6 files reviewed, 1 unresolved discussion (waiting on @dan-starkware)

a discussion (no related file):
I need to make sure the training is going well, that the dictionary we getting is a good one, and that the training scales well for dozens of GB of training data.
To do that I need big storage. Next time I will have a good internet connection I will sync a node locally and test this. For the first few thousand blocks, it works fine.
There is some weirdness in the training function. I opened an issue about that:
gyscos/zstd-rs#260

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[codecov]

Codecov Report

Attention: 126 lines in your changes are missing coverage. Please review.

Comparison is base (0937db1) 73.39% compared to head (1c01fd6) 72.55%.

❗ Current head 1c01fd6 differs from pull request most recent head 0b5ac5c. Consider uploading reports for the commit 0b5ac5c to get more accurate results

Files	Patch %	Lines
...orage/src/bin/train_compression_dictionary/main.rs	26.31%	126 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1668      +/-   ##
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- Coverage   73.39%   72.55%   -0.84%     
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  Files         119      120       +1     
  Lines       15781    15951     +170     
  Branches    15781    15951     +170     
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- Hits        11582    11574       -8     
- Misses       2423     2609     +186     
+ Partials     1776     1768       -8     

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