Quick Start Guide

Basic Usage

First, import LatenPy:
```
from latenpy import latent
```

Define latent functions using the @latent decorator:

@latent
def add(a, b):
    return a + b

@latent
def multiply(a, b):
    return a * b

Create computation chains:

# These operations are not computed yet
result1 = multiply(2, 3)
result2 = add(result1, 10)

Compute results when needed:

# Computation happens here
final_result = result2.compute()
print(final_result)  # 16

Caching Behavior

Results are automatically cached:

# First computation
result = expensive_calculation(10)
value1 = result.compute()  # Takes time

# Second computation (instant)
value2 = result.compute()  # Returns cached result

Working with Dependencies

LatenPy automatically tracks dependencies:

@latent
def square(x):
    return x * x

@latent
def sum_squares(a, b):
    return square(a) + square(b)

result = sum_squares(3, 4)
print(result.compute())  # 25

Visualizing Computations

You can visualize the computation graph:

result = sum_squares(3, 4)
G = result.get_dependency_graph()
result.visualize()  # Shows the computation graph