import collections

from mmcv.utils import build_from_cfg

from ..builder import PIPELINES

import pdb
import sys
class ForkedPdb(pdb.Pdb):
    """
    A Pdb subclass that may be used
     from a forked multiprocessing child
    """
    def interaction(self, *args, **kwargs):
        _stdin = sys.stdin
        try:
            sys.stdin = open('/dev/stdin')
            pdb.Pdb.interaction(self, *args, **kwargs)
        finally:
            sys.stdin = _stdin

@PIPELINES.register_module()
class Compose(object):
    """Compose multiple transforms sequentially.

    Args:
        transforms (Sequence[dict | callable]): Sequence of transform object or
            config dict to be composed.
    """

    def __init__(self, transforms):
        assert isinstance(transforms, collections.abc.Sequence)
        self.transforms = []
        for transform in transforms:
            if isinstance(transform, dict):
                transform = build_from_cfg(transform, PIPELINES)
                self.transforms.append(transform)
            elif callable(transform):
                self.transforms.append(transform)
            else:
                raise TypeError('transform must be callable or a dict')

    def __call__(self, data):
        """Call function to apply transforms sequentially.

        Args:
            data (dict): A result dict contains the data to transform.

        Returns:
           dict: Transformed data.
        """

        for t in self.transforms:
            #ForkedPdb().set_trace()
            data = t(data)
            #ForkedPdb().set_trace()
            if data is None:
                return None
        return data

    def __repr__(self):
        format_string = self.__class__.__name__ + '('
        for t in self.transforms:
            format_string += '\n'
            format_string += f'    {t}'
        format_string += '\n)'
        return format_string
