Fixed bugs in outlier dectector and added more tests to spatial suppression

            warnings.warn('Only {} valid points, but {} points requested'.format(len(self.df), self.k))

            self.k = len(self.df)

        search_space = np.linspace(self.min_radius, self.max_radius, 250)

        cell_sizes = (search_space / math.sqrt(2)).astype(np.int)

        cell_sizes = search_space / math.sqrt(2)

        min_idx = 0

        max_idx = len(search_space) - 1

        while True:

                        min_idx = mid_idx

                        break

                    y_min = y_center - 5

                    y_min = y_center - int(round(cell_size, 0))

                    if y_min < 0:

                        y_min = 0

                    x_min = x_center - 5

                    x_min = x_center - int(round(cell_size, 0))

                    if x_min < 0:

                        x_min = 0

                    y_max = y_center + 5

                    y_max = y_center + int(round(cell_size, 0))

                    if y_max > grid.shape[0]:

                        y_max = grid.shape[0]

                    x_max = x_center + 5

                    x_max = x_center + int(round(cell_size, 0))

                    if x_max > grid.shape[1]:

                        x_max = grid.shape[1]

    def spatial_suppression_testing(self):

        r = np.random.RandomState(12345)

        df = pd.DataFrame(r.uniform(0,1,(500, 3)), columns=['x', 'y', 'strength'])

        minimum = SpatialSuppression(df, (1,1), k = 1)

        df = pd.DataFrame(r.uniform(0,4,(500, 3)), columns=['x', 'y', 'strength'])

        minimum = SpatialSuppression(df, (4,4), k = 1)

        minimum.suppress()

        df.plot(kind = 'scatter', x = 'x', y = 'y')