void addElements()
{
_scroll.ContentSize = new CGSize(9 * (44 + 14), 44);
for (int i = 0; i < 9; i++)
{
var img = new SingleRoundImageView(new CGRect(i * (44 + 14), 0, 44, 44)); //44+14 width+espacio
_scroll.Add(img);
}
}
private void initComment()
{
_image = new SingleRoundImageView(new CGRect(20, 12, 44, 44));
//getimage (20, 12, 44, 44, "MLResources/default_img.png");
Add(_image);
string c = ""; //This a sample comment for ml project, lets talk a litle bit";
_name = getTextLabel(82, 12, 158, 16, "Alicia Smith", 12);
Add(_name);
_comment = getTextLabel(82, 28, 212, 28, c, 11);
Add(_comment);
_time = getTextLabel(248, 12, 50, 16, "1.25 pm", 11);
Add(_time);
}
void addNewElements(int idx)
{
for (int i = idx; i < _usersList.Count; i++)
{
var img = new SingleRoundImageView(new CGRect(i * (44 + 14), 0, 44, 44));
if (_usersList [i].userImage != null)
{
img.ImageBytes = _usersList [i].userImage;
}
_usersList [i].PropertyChanged += (sender, e) => {
img.ImageBytes = (sender as MLearning.Core.ViewModels.MainViewModel.user_by_circle_wrapper).userImage;
};
_scroll.Add(img);
}
_scroll.ContentSize = new CGSize(_usersList.Count * (44 + 14), 44);
}
