Please complete the report problem below:

Provide your profitable path, the amountIn, amountOut value for each swap, and your final reward (your tokenB balance).

Following is my profitable path:

Initial tokenB balance: 5
tokenB -> tokenA: 5.655321988655322
- tokenA -> tokenD: 2.4587813170979333
-- tokenD -> tokenC: 5.0889272933015155
--- tokenC -> tokenB: 20.129888944077443

Path: tokenB->tokenA->tokenD->tokenC->tokenB, tokenB balance=20.129888944077443

What is slippage in AMM, and how does Uniswap V2 address this issue? Please illustrate with a function as an example.

Slippage occurs when the final price of a trade in an Automated Market Maker (AMM) like Uniswap V2 differs from the expected price at trade initiation. Uniswap V2 combats this by allowing users to set a minimum amount they're willing to accept, controlling maximum slippage.
The fundamental formula Uniswap V2 uses, ignoring fees for simplicity, is x * y = k, where x and y are token reserves, and k remains constant. This ensures the product of the reserves remains constant post-trade, affecting the pool's price.

Please examine the mint function in the UniswapV2Pair contract. Upon initial liquidity minting, a minimum liquidity is subtracted. What is the rationale behind this design?

Uniswap V2 locks a minimum liquidity amount (typically 1000 liquidity tokens) to prevent manipulation by early liquidity providers. This "seed" liquidity ensures fair distribution of transaction fees and stabilizes initial pool pricing.

Investigate the minting function in the UniswapV2Pair contract. When depositing tokens (not for the first time), liquidity can only be obtained using a specific formula. What is the intention behind this?

The liquidity minted when adding to an existing pool is proportional to the contributor's share. This maintains fair fee distribution and is calculated as L = min(amount0 / reserve0, amount1 / reserve1) * totalsupply, keeping ownership percentages consistent.

What is a sandwich attack, and how might it impact you when initiating a swap?

A sandwich attack is when an attacker uses a pending swap seen in the mempool to manipulate token prices for profit. They execute a trade before and after the victim's transaction, impacting the victim's swap outcome. Users can mitigate this by setting tighter slippage tolerances and using protocols with front-running protections.