feat: Rebrand Polkadot/Substrate references to PezkuwiChain

This commit systematically rebrands various references from Parity Technologies'
Polkadot/Substrate ecosystem to PezkuwiChain within the kurdistan-sdk.

Key changes include:
- Updated external repository URLs (zombienet-sdk, parity-db, parity-scale-codec, wasm-instrument) to point to pezkuwichain forks.
- Modified internal documentation and code comments to reflect PezkuwiChain naming and structure.
- Replaced direct references to  with  or specific paths within the  for XCM, Pezkuwi, and other modules.
- Cleaned up deprecated  issue and PR references in various  and  files, particularly in  and  modules.
- Adjusted image and logo URLs in documentation to point to PezkuwiChain assets.
- Removed or rephrased comments related to external Polkadot/Substrate PRs and issues.

This is a significant step towards fully customizing the SDK for the PezkuwiChain ecosystem.
This commit is contained in:
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# pezsp-npos-elections
A set of election algorithms to be used with a Bizinikiwi runtime, typically within the staking sub-system. Notable
implementation include:
- [`seq_phragmen`]: Implements the Phragmén Sequential Method. An un-ranked, relatively fast election method that
ensures PJR, but does not provide a constant factor approximation of the maximin problem.
- [`phragmms`]: Implements a hybrid approach inspired by Phragmén which is executed faster but it can achieve a constant
factor approximation of the maximin problem, similar to that of the MMS algorithm.
- [`balance_solution`]: Implements the star balancing algorithm. This iterative process can push a solution toward being
more `balanced`, which in turn can increase its score.
## Terminology
This crate uses context-independent words, not to be confused with staking. This is because the election algorithms of
this crate, while designed for staking, can be used in other contexts as well.
`Voter`: The entity casting some votes to a number of `Targets`. This is the same as `Nominator` in the context of
staking. `Target`: The entities eligible to be voted upon. This is the same as `Validator` in the context of staking.
`Edge`: A mapping from a `Voter` to a `Target`.
The goal of an election algorithm is to provide an `ElectionResult`. A data composed of:
- `winners`: A flat list of identifiers belonging to those who have won the election, usually ordered in some meaningful
way. They are zipped with their total backing stake.
- `assignment`: A mapping from each voter to their winner-only targets, zipped with a ration denoting the amount of
support given to that particular target.
```rust
// the winners.
let winners = vec![(1, 100), (2, 50)];
let assignments = vec![
// A voter, giving equal backing to both 1 and 2.
Assignment {
who: 10,
distribution: vec![(1, Perbill::from_percent(50)), (2, Perbill::from_percent(50))],
},
// A voter, Only backing 1.
Assignment { who: 20, distribution: vec![(1, Perbill::from_percent(100))] },
];
// the combination of the two makes the election result.
let election_result = ElectionResult { winners, assignments };
```
The `Assignment` field of the election result is voter-major, i.e. it is from the perspective of the voter. The struct
that represents the opposite is called a `Support`. This struct is usually accessed in a map-like manner, i.e. keyed by
voters, therefore it is stored as a mapping called `SupportMap`.
Moreover, the support is built from absolute backing values, not ratios like the example above. A struct similar to
`Assignment` that has stake value instead of ratios is called an `StakedAssignment`.
More information can be found at: https://arxiv.org/abs/2004.12990
License: Apache-2.0