Implementation.py

from transformers import GPT2LMHeadModel, GPT2Tokenizer, Trainer, TrainingArguments, TextDataset, DataCollatorForLanguageModeling
import torch

class AGIModel:
    def __init__(self, model_name='gpt2'):
        self.tokenizer = GPT2Tokenizer.from_pretrained(model_name)
        self.model = GPT2LMHeadModel.from_pretrained(model_name)

    def understand_code(self, code):
        inputs = self.tokenizer(code, return_tensors='pt', padding=True, truncation=True)
        outputs = self.model(**inputs)
        return outputs

    def generate_code(self, prompt):
        inputs = self.tokenizer(prompt, return_tensors='pt')
        outputs = self.model.generate(**inputs)
        return self.tokenizer.decode(outputs[0], skip_special_tokens=True)

def load_dataset(file_path, tokenizer, block_size=128):
    dataset = TextDataset(
        tokenizer=tokenizer,
        file_path=file_path,
        block_size=block_size
    )
    return dataset

def main():
    agi = AGIModel()
    train_dataset = load_dataset('code_dataset.txt', agi.tokenizer)
    data_collator = DataCollatorForLanguageModeling(
        tokenizer=agi.tokenizer,
        mlm=False,
    )

    training_args = TrainingArguments(
        output_dir='./results',
        overwrite_output_dir=True,
        num_train_epochs=1,
        per_device_train_batch_size=4,
        save_steps=10_000,
        save_total_limit=2,
        logging_dir='./logs',
        logging_steps=100,
    )

    trainer = Trainer(
        model=agi.model,
        args=training_args,
        data_collator=data_collator,
        train_dataset=train_dataset,
    )

    trainer.train()
    trainer.save_model("./trained_model")

if __name__ == "__main__":
    main()

# Additional Code Execution Logic
i = 5
e = 2.71
pi = 3.14
sum_value = i + e + pi

if 10 < sum_value < 15:
    print("Sum is within range.")

# Exception handling example
try:
    i = "not valid"  # This will raise an exception
except Exception as error:
    print(f"Variable i has an invalid value: {error}")

# Brute-force correction of variable 'i'
i = 0

# Annihilate variable 'i'
del i