import jax.numpy as jnp # JAX for array computations

from dataclasses import dataclass

import sys # For handling potential input errors

@dataclass

class NFTProduct:

    """Dataclass to hold NFT product details, equivalent to the C++ struct."""

    name: str

    quantity_in_stock: float # Renamed for Pythonic style

    average_sale_price: float # Renamed for Pythonic style

def load_products_from_url():

    """Simulate loading products from a URL, as in the original code."""

    return [

        NFTProduct(name="Product A", quantity_in_stock=50, average_sale_price=500.0),

        NFTProduct(name="Product B", quantity_in_stock=20, average_sale_price=250.0)

    ]

def estimate_cash_street_value(products):

    """Estimate the cash-street value using JAX for array operations.

    Converts the product data to JAX arrays and computes the total value.

    """

    if not products:

        return 0.0 # Handle edge case where no products are available

    # Extract quantities and prices into JAX arrays

    quantities = jnp.array([p.quantity_in_stock for p in products])

    prices = jnp.array([p.average_sale_price for p in products])

    # Compute total value using JAX array operations

    total_value = jnp.sum(jnp.multiply(quantities, prices))

    return total_value # JAX will return a JAX array, which can be used as a float

def calculate_d():

    """Function to calculate D based on user inputs, as in the first main.

    This handles user input for R and H, and computes D.

    """

    try:

        # Get user input with prompts

        r_input = input("Enter the observed value (R, closer to but less than 20000): ")

        R = float(r_input) # Convert to float; corrected from original undeclared variable

        if R >= 20000: # Add basic validation based on the comment

            print("Warning: R should be closer to but less than 20000. Proceeding anyway.")

        h_input = input("Enter the hidden property factor (H): ")

        H = float(h_input) # Convert to float

        # Calculation of D using plain Python (no JAX needed for scalar ops, but could be added)

        D = R + 20000 * H

        print(f"The calculated D value is: {D}")

        return D # Return for potential further use

    except ValueError:

        print("Error: Invalid input. Please enter numeric values for R and H.")

        sys.exit(1) # Exit gracefully on error

if __name__ == "__main__":

    # Execute the first part (calculate D)

    calculate_d()

    # Execute the second part (NFT estimation)

    products = load_products_from_url()

    total_cash_street_value = estimate_cash_street_value(products)

    # Output the result

    print(f"The estimated Cash-Street Value of the institutional NFT products is: ${total_cash_street_value}")

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