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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _check_satisfy_constraints(self, label, xmin, ymin, xmax, ymax, width, height):
 """Check if constrains are satisfied"""

        if (xmax - xmin) * (ymax - ymin) < 2:
            return False  # only 1 pixel
        x1 = float(xmin) / width
        y1 = float(ymin) / height
        x2 = float(xmax) / width
        y2 = float(ymax) / height
        object_areas = self._calculate_areas(label[:, 1:])
        valid_objects = np.where(object_areas * width * height > 2)[0]
        if valid_objects.size < 1:
            return False
        intersects = self._intersect(label[valid_objects, 1:], x1, y1, x2, y2)
        coverages = self._calculate_areas(intersects) / object_areas[valid_objects]
        coverages = coverages[np.where(coverages > 0)[0]]
        return coverages.size > 0 and np.amin(coverages) > self.min_object_covered