Delete test_drhagis.py.save

bob/ip/binseg/test/test_drhagis.py.save

-#!/usr/bin/env python
-# coding=utf-8
-
-
-"""Tests for DRHAGIS"""
-
-import os
-import numpy
-import pytest
-
-from ..data.drhagis import dataset
-from .utils import count_bw
-
-
-def test_protocol_consistency():
-    subset = dataset.subsets("default")
-    assert len(subset) == 2
-    
-    assert "train" in subset
-    assert len(subset["train"]) == 20
-    for s in subset["train"]:
-        assert s.key.startswith("Fundus_Images")
-
-    assert "test" in subset
-    assert len(subset["test"]) == 20
-    for s in subset["test"]:
-        assert s.key.startswith("Fundus_Images")
-
-
-
-
-@pytest.mark.skip_if_rc_var_not_set('bob.ip.binseg.drhagis.datadir')
-def test_loading():
-
-
-    def _check_sample(s,bw_threshold_label, bw_threshold_mask):
-
-        data = s.data
-        assert isinstance(data, dict)
-        assert len(data) == 3
-
-        assert "data" in data
-        assert data["data"].mode == "RGB"
-        assert data["data"].size[0] >= 2816, (
-                f"Width ({data['data'].size[0]}) for {s.key} is smaller "
-                f"than 2816 pixels"
-                )
-        assert data["data"].size[1] >= 1880, (
-                f"Width ({data['data'].size[1]}) for {s.key} is smaller "
-                f"than 1880 pixels"
-                )
-
-        assert "label" in data
-        assert data["data"].size == data["label"].size
-        assert data["label"].mode == "1"
-
-
-        b, w = count_bw(data["label"])
-        assert (b + w) == numpy.prod(data["data"].size), (
-            f"Counts of black + white ({b}+{w}) do not add up to total "
-            f"image size ({numpy.prod(data['data'].size)}) at '{s.key}':label"
-        )
-
-
-
-        assert (w / b) < bw_threshold_label, (
-            f"The proportion between black and white pixels "
-            f"({w}/{b}={w/b:.3f}) is larger than the allowed threshold "
-            f"of {bw_threshold_label} at '{s.key}':label - this could "
-            f"indicate a loading problem!"
-        )
-
-
-       bm, wm = count_bw(data["mask"])
-        assert (bm+wm) == numpy.prod(data["data"].size), \
-                f"Counts of black + white ({bm}+{wm}) do not add up to total " \
-                f"image size ({numpy.prod(data['data'].size)}) at '{s.key}':mask"
-                
-                
-        assert (wm/bm) > bw_threshold_mask, \
-                f"The proportion between black and white pixels in masks " \
-                f"({wm}/{bm}={wm/bm:.2f}) is smaller than the allowed " \
-                f"threshold of {bw_threshold_mask} at '{s.key}':label - " \
-                f"this could indicate a loading problem!"
-        
-        
-        
-        # to visualize images, uncomment the folowing code
-        # it should display an image with a faded background representing the
-        # original data, blended with green labels and blue area indicating the
-        # parts to be masked out.
-        #from ..data.utils import overlayed_image
-        #display = overlayed_image(data["data"], data["label"], data["mask"])
-        #display.show()
-        #import ipdb; ipdb.set_trace()
-
-        
-        return w/b, wm/bm
-        
-        
-
-    limit = None  #use this to limit testing to first images only
-    subset = dataset.subsets("default")
-    proportions = [_check_sample(s,0.07,0.8) for s in subset["train"][:limit]]
-    proportions = [_check_sample(s,0.08,0.8) for s in subset["test"][:limit]]
-
-
-
-@pytest.mark.skip_if_rc_var_not_set('bob.ip.binseg.drhagis.datadir')
-def test_check():
-    assert dataset.check() == 0
-
-