"""
This file contains the implementation of Multitask Dataiterator class that can be used with multitask
datasets
"""


class MultitaskDataIterator:

    def __init__(self, iterator, text_name: str = "text", label_name: str = "label") -> None:
        """
        :param iterator: torchtext iterator containing batches of the dataset
        :param text_name: attribute name of the text variable
        :param label_name: attribute name of the label variable
        """
        self.iterator = iterator
        self.text_name = text_name
        self.label_name = label_name

    def __iter__(self):
        for batch in self.iterator:
            labels = tuple(getattr(batch, label) for label in self.label_name)
            yield (getattr(batch, self.text_name), *labels, self.label_name)

    def __len__(self) -> int:
        return len(self.iterator)

03501eefc0b15ecdab1c4c43f7b51eca7d97f9b3
<mask token>


class MultitaskDataIterator:
    <mask token>
    <mask token>
    <mask token>

<mask token>


class MultitaskDataIterator:
    <mask token>

    def __iter__(self):
        for batch in self.iterator:
            labels = tuple(getattr(batch, label) for label in self.label_name)
            yield getattr(batch, self.text_name), *labels, self.label_name
    <mask token>

<mask token>


class MultitaskDataIterator:

    def __init__(self, iterator, text_name: str='text', label_name: str='label'
        ) ->None:
        """
        :param iterator: torchtext iterator containing batches of the dataset
        :param text_name: attribute name of the text variable
        :param label_name: attribute name of the label variable
        """
        self.iterator = iterator
        self.text_name = text_name
        self.label_name = label_name

    def __iter__(self):
        for batch in self.iterator:
            labels = tuple(getattr(batch, label) for label in self.label_name)
            yield getattr(batch, self.text_name), *labels, self.label_name
    <mask token>

<mask token>


class MultitaskDataIterator:

    def __init__(self, iterator, text_name: str='text', label_name: str='label'
        ) ->None:
        """
        :param iterator: torchtext iterator containing batches of the dataset
        :param text_name: attribute name of the text variable
        :param label_name: attribute name of the label variable
        """
        self.iterator = iterator
        self.text_name = text_name
        self.label_name = label_name

    def __iter__(self):
        for batch in self.iterator:
            labels = tuple(getattr(batch, label) for label in self.label_name)
            yield getattr(batch, self.text_name), *labels, self.label_name

    def __len__(self) ->int:
        return len(self.iterator)

"""
This file contains the implementation of Multitask Dataiterator class that can be used with multitask
datasets
"""


class MultitaskDataIterator:

    def __init__(self, iterator, text_name: str = "text", label_name: str = "label") -> None:
        """
        :param iterator: torchtext iterator containing batches of the dataset
        :param text_name: attribute name of the text variable
        :param label_name: attribute name of the label variable
        """
        self.iterator = iterator
        self.text_name = text_name
        self.label_name = label_name

    def __iter__(self):
        for batch in self.iterator:
            labels = tuple(getattr(batch, label) for label in self.label_name)
            yield (getattr(batch, self.text_name), *labels, self.label_name)

    def __len__(self) -> int:
        return len(self.iterator)
