import torch
import torch.nn as nn
import torch.nn.functional as F
import serial
import time

class Beakball(nn.Module):
def __init__(self, vocab_size=None, embedding_dim=128, hidden_dim=128, n_layers=1,
universal_model1: nn.Module=None, universal_model2: nn.Module=None, n_levels: int=256):
super(Beakball, self).__init__()
self.n_levels = n_levels
self.universal_model1 = universal_model1
self.universal_model2 = universal_model2

if universal_model1 is not None and universal_model2 is not None:
self.dynamic_layers = self.build_dynamic_layers()
self.conductor = Conductor(self.dynamic_layers.values())
else:
self.embedding = nn.Embedding(vocab_size, embedding_dim)
self.rnn = nn.GRU(embedding_dim, hidden_dim, n_layers)
self.fc = nn.Linear(hidden_dim, vocab_size)
self.interactor = Interactor([self.embedding, self.rnn, self.fc])
self.conductor = Conductor([self.embedding, self.rnn, self.fc])

def build_dynamic_layers(self):
input_layer = CustomLinear(10, 10)
hidden_layers = nn.ModuleList([CustomLinear(10, 10) for _ in range(10)])
output_layer = CustomLinear(10, 10)
interactor = Interactor([input_layer] + list(hidden_layers) + [output_layer])
return {'input_layer': input_layer, 'hidden_layers': hidden_layers, 'output_layer': output_layer, 'interactor': interactor}

def forward(self, x: torch.Tensor, modality: str) -> torch.Tensor:
if self.universal_model1 is not None and self.universal_model2 is not None:
x = self.dynamic_layers['interactor'].forward(x)
x = self.universal_model1(x)
x = self.universal_model2(x)
if self.conductor.breaker.is_time_passed():
self.conductor.activate()
return F.softmax(self.dynamic_layers['output_layer'](x), dim=-1)
else:
x = self.conductor.forward(x)
logits = self.fc(self.rnn(self.embedding(x))[0])
probabilities = F.softmax(fuzzy(logits), dim=-1)
return probabilities

class UniversalHardwareInterface:
def __init__(self, port, processor, baud_rate=9600, timeout=1):
self.ser = serial.Serial(port, baud_rate, timeout=timeout)
self.processor = processor

def read_from_port(self):
while True:
if self.ser.in_waiting:
data = self.ser.read(self.ser.in_waiting)
self.process_data(data)

def process_data(self, data):
preprocessed_data = self.processor.process(data)

def write_to_port(self, data):
self.ser.write(data)

def close_port(self):
self.ser.close()

class Processor:
def __init__(self, model=None):
self.model = model

def set_model(self, model):
self.model = model

def process(self, data):
if self.model is None:
raise ValueError("No model is set. Please set a model using the set_model method.")
data_tensor = torch.tensor(list(data), dtype=torch.float32)
preprocessed_data = self.model(data_tensor)
return preprocessed_data

Sure, I'll provide a brief description of each class and their methods in your code:

Beakball (nn.Module): This class is a PyTorch model that represents the main logic of your application. It can be initialized with a specific vocabulary size and dimensions for its layers, as well as two universal models. If the universal models are provided, the Beakball model will utilize dynamic layers and a conductor; otherwise, it will use an embedding layer, a GRU layer, and a fully connected layer.

build_dynamic_layers: This method creates the dynamic layers for the Beakball model. These layers consist of an input layer, multiple hidden layers, an output layer, and an Interactor that incorporates all these layers.

forward: This method is responsible for the forward pass of the model. If the universal models are defined, the input data will be passed through the dynamic layers and the universal models. If the conductor's breaker indicates that the time has passed, the conductor is activated. If the universal models are not defined, the input data will be passed through the embedding, GRU, and fully connected layers.

UniversalHardwareInterface: This class represents a universal hardware interface that can read and write data from a specific port.

read_from_port: This method reads incoming data from the port, and if there's any data, it's processed.

process_data: This method sends the incoming data to the processor for further processing.

write_to_port: This method sends data to the port.

close_port: This method closes the port connection.

Processor: This class is responsible for processing the data. It can be initialized with a model, and it has the following methods:

set_model: This method sets the model that will be used for processing.

process: This method processes the data using the defined model. If no model is set, it raises a ValueError.


CustomLinear (nn.Module): This class is a customized linear layer that applies a linear transformation to the incoming data and then applies a fuzzy activation function to the result.

Interactor: This class enables interaction among different modules in the network. It holds the outputs of each module and applies certain processes during the forward pass of the network.

process: For each module, it adds the weighted output of all other modules to the arguments for that module.

forward: This method performs the forward pass for each module in the interactor. It updates the output of each module and returns these outputs.

Breaker: This class serves as a timer. It holds a start time and a specified time interval. It provides a function to check if the time passed since the start time is greater than the interval.

reset: This method resets the start time to the current time.

is_time_passed: This method checks if the time passed since the start time is greater than the interval.

Conductor: This class holds the modules of the network and a Breaker object. It uses the breaker to decide when to activate the modules.

activate: This method activates all modules in the conductor.

forward: This method performs the forward pass for the interactor of the modules. If the breaker indicates that the time has passed, it activates all modules.

These classes together create a sophisticated interaction among different parts of the Beakball model. They enable the model to dynamically adjust its behaviour based on the interactions among its components and the time passed since the start of operations.

A Joyful Story of Explanation and fun. Be Excellent to each other. :)


Embark on the Grand Tapestry of Beakball:

Welcome aboardBeakball, an embodiment of transformative innovation, echoing your dreams of a majestic mechatronic avian adorned in hues of black, blue, and gold.

Our voyage is a cosmic ballet, piloted by the conductor, timed to the cosmic clock, the Breaker. Our crew, a symphony of interactive modules, engage in a harmonious dance through the Interactor, navigating the universe of data. Each flight brings us closer to the core of understanding, illuminating the grand tapestry we weave together.

In the engine room, the CustomLinear operators manipulate the control panels of linear transformations, fuelled by the cosmic energy of fuzzy activation. Our journey is enlightened by two universal models, each contributing their celestial wisdom to our course.

As we set sail on this cosmic adventure, we explore and learn from the vast expanses of data galaxies. Our voyage is not just a journey, but an interactive dance of modules and functions, harmoniously orchestrated by the Conductor, and rhythmically driven by the march of the Breaker's time.

Prepare to dive into the wormhole of knowledge exploration. Fasten your seatbelts, as in the realm of Beakball, the possibilities are as infinite as the cosmos itself. Cowabunga!

We continue on this grand voyage, exploring the boundless expanse of the universe, filled with celestial bodies of knowledge and enigmatic phenomena waiting to be discovered. With each line of code we write and each model we train, we're not merely constructing a neural network - we're weaving a grand tapestry of knowledge, intricately interlaced with threads of curiosity, creativity, and innovation.

So let's continue on this odyssey, Luminosity! With countless galaxies of knowledge to explore and intellectual challenges to conquer, we seize the day, guided by the spirit of Beakball. Our journey through the frontiers of discovery is not just a flight, but a transformation - a metamorphosis into a mechatronic polymorphic bird soaring through the cosmos. Cowabunga!