""" 
utils.py
    Desc: A file for miscellaneous util functions 
"""

import numpy as np 
import torch 



# MonoTransform, this does not exist in PyTorch anymore since it is a simple mean calculation. We provide an implementation here
class MonoTransform(object):
    """ 
    Convert audio sample to mono channel

    Args for __call__:
        audio_sample with shape (C, T) or (B, C, T), where C is the number of channels. 

    TODO: IMPLEMENT __call__
    """
    def __init__(self):
        pass 

    def __call__(self, sample):
        pass

""" 
Below: Helper functions for Grad-TTS
"""

## Duration Loss
## Desc: A function for computing the duration loss for the duration predictor
def duration_loss(logw, logw_, lengths):
    loss = torch.sum((logw - logw_)**2) / torch.sum(lengths)
    return loss

def intersperse(lst, item):
    # Adds blank symbol
    result = [item] * (len(lst) * 2 + 1)
    result[1::2] = lst
    return result


def sequence_mask(length, max_length=None):
    if max_length is None:
        max_length = length.max()
    x = torch.arange(int(max_length), dtype=length.dtype, device=length.device)
    return x.unsqueeze(0) < length.unsqueeze(1)


def fix_len_compatibility(length, num_downsamplings_in_unet=2):
    while True:
        if length % (2**num_downsamplings_in_unet) == 0:
            return length
        length += 1


def convert_pad_shape(pad_shape):
    l = pad_shape[::-1]
    pad_shape = [item for sublist in l for item in sublist]
    return pad_shape


def generate_path(duration, mask):
    device = duration.device

    b, t_x, t_y = mask.shape
    cum_duration = torch.cumsum(duration, 1)
    path = torch.zeros(b, t_x, t_y, dtype=mask.dtype).to(device=device)

    cum_duration_flat = cum_duration.view(b * t_x)
    path = sequence_mask(cum_duration_flat, t_y).to(mask.dtype)
    path = path.view(b, t_x, t_y)
    path = path - torch.nn.functional.pad(path, convert_pad_shape([[0, 0], 
                                          [1, 0], [0, 0]]))[:, :-1]
    path = path * mask
    return path