flowery 🌸

A quick way to hide print statements during code runs. Perfect for debugging machine learning models or any project with too much output.

Features

• Suppress or allow print statements with a simple decorator.
• Helpful for ML models and complex algorithms where selective logging is necessary.
• No dependencies – just one Python file to include in your project.

Usage

1. Download the flowery/flower_code.py file and place it in your project directory.

2. Basic Example:

from flower_code import flowery

class Example:
    @flowery(verbose=False)  # This hides print statements
    def method(self):
        print("This won't be shown.")

    @flowery(verbose=True)  # This allows prints to run
    def another_method(self):
        print("This will be shown.")

example = Example()
example.method()
example.another_method()

3. ML Model Example:

import torch
import torch.nn as nn
from flower_code import flowery

class NeuralNetwork(nn.Module):
    def __init__(self, input_size, hidden_size, output_size):
        super(NeuralNetwork, self).__init__()
        self.fc1 = nn.Linear(input_size, hidden_size)
        self.fc2 = nn.Linear(hidden_size, output_size)

    @flowery(verbose=True)
    def forward(self, x):
        print(f"Input shape: {x.shape}")
        x = self.fc1(x)
        print(f"After fc1: {x.shape}")
        x = torch.relu(x)
        x = self.fc2(x)
        print(f"After fc2: {x.shape}")
        return x

model = NeuralNetwork(10, 5, 2)
input_tensor = torch.randn(1, 10)
output = model(input_tensor)
print(f"Output: {output}")

4. Debugging Complex Algorithms

from flower_code import flowery

@flowery(verbose=True)
def fibonacci(n, memo={}):
    print(f"Calculating fibonacci({n})")
    if n in memo:
        print(f"Returning memoized value for {n}")
        return memo[n]
    if n <= 1:
        return n
    memo[n] = fibonacci(n-1, memo) + fibonacci(n-2, memo)
    print(f"Computed fibonacci({n}): {memo[n]}")
    return memo[n]

print(f"Result: {fibonacci(5)}")

Recommendations

If you'd like to download the complete repository (including examples and tests):

git clone https://github.com/your-username/flowery.git
cd flowery

License

This project is licensed under the MIT License.

Contributing

Feel free to submit issues or pull requests. Contributions are welcome!

Author

Developed by Andrew R. Garcia.