import torch


class JigsawTraining:
    def __init__(self, comment_text, targets, config):
        self.comment_text = comment_text
        self.tokenizer = config.TOKENIZER
        self.max_length = config.MAX_LEN
        self.targets = targets

    def __len__(self):
        return len(self.comment_text)

    def __getitem__(self, item):
        comment_text = str(self.comment_text[item])
        comment_text = " ".join(comment_text.split())

        inputs = self.tokenizer.encode_plus(
            comment_text,
            None,
            add_special_tokens=True,
            max_length=self.max_length,
        )
        ids = inputs["input_ids"]
        token_type_ids = inputs["token_type_ids"]
        mask = inputs["attention_mask"]
        
        padding_length = self.max_length - len(ids)
        
        ids = ids + ([0] * padding_length)
        mask = mask + ([0] * padding_length)
        token_type_ids = token_type_ids + ([0] * padding_length)
        
        return {
            'ids': torch.tensor(ids, dtype=torch.long),
            'mask': torch.tensor(mask, dtype=torch.long),
            'token_type_ids': torch.tensor(token_type_ids, dtype=torch.long),
            'targets': torch.tensor(self.targets[item], dtype=torch.float)
        }