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import unittest 

import numpy as np 

from navipy import database 

from navipy import comparing 

from navipy.scene import is_numeric_array 

import pkg_resources 

 

 

class TestCase(unittest.TestCase): 

def setUp(self): 

""" loads the database """ 

self.mydb_filename = pkg_resources.resource_filename( 

'navipy', 'resources/database.db') 

self.mydb = database.DataBase(self.mydb_filename) 

 

def test_imagediff_curr(self): 

""" 

this test checks the function imdiff works 

correctly. 

it checks if correct errors are raised for: 

- frame containing nans 

- frame has wrong dimension 

 

and checks if the returned frame is correct: 

- has correct shape 

- does not contain nans 

- contains only numeric values 

""" 

curr = self.mydb.scene(rowid=1) 

mem = self.mydb.scene(rowid=2) 

curr2 = curr.copy() 

curr2[3, 5, 2, 0] = np.nan 

curr3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]] 

curr3 = [curr3, curr3, curr3] 

curr3 = np.array(curr3) 

curr4 = np.zeros((3, 4, 5, 0)) 

 

# put useless stuff here 

with self.assertRaises(ValueError): 

comparing.imagediff(curr2, mem) 

with self.assertRaises(Exception): 

comparing.imagediff(curr3, mem) 

with self.assertRaises(Exception): 

comparing.imagediff(curr4, mem) 

 

# should be working -> check if result is correct 

for s in [curr]: 

diff = comparing.imagediff(s, mem) 

# self.assertTrue(diff.shape[1] == 1) 

self.assertTrue(diff.shape[0] > 0) 

self.assertFalse(np.any(np.isnan(diff))) 

self.assertTrue(is_numeric_array(diff)) 

 

def test_imagediff_memory(self): 

""" 

this test checks the function imagediff works 

correctly for the parameter memory. 

it checks if correct errors are raised for: 

- memory containing nans 

- memory has wrong dimension 

 

and checks if the returned frame is correct: 

- has correct shape 

- does not contain nans 

- contains only numeric values 

""" 

curr = self.mydb.scene(rowid=1) 

mem = self.mydb.scene(rowid=2) 

mem2 = curr.copy() 

mem2[3, 5, 2] = np.nan 

mem3 = [[1, 2], [1, 2], [1, 2]] 

mem3 = [mem3, mem3, mem3] 

mem3 = np.array(mem3) 

mem4 = np.zeros((3, 4, 5)) 

 

with self.assertRaises(ValueError): 

comparing.imagediff(curr, mem2) 

with self.assertRaises(Exception): 

comparing.imagediff(curr, mem3) 

with self.assertRaises(Exception): 

comparing.imagediff(curr, mem4) 

 

# should be working -> check if result is correct 

for s in [mem]: 

diff = comparing.imagediff(curr, s) 

self.assertFalse(diff.shape[0] <= 0) 

# self.assertTrue(diff.shape[1] == 1) 

self.assertFalse(np.any(np.isnan(diff))) 

self.assertTrue(is_numeric_array(diff)) 

 

def test_rot_imagediff_curr(self): 

""" 

this test checks the function imagediff works 

correctly for the parameter current. 

it checks if correct errors are raised for: 

- memory containing nans 

- memory has wrong dimension 

 

and checks if the returned frame is correct: 

- has correct shape 

- does not contain nans 

- contains only numeric values 

""" 

curr = self.mydb.scene(rowid=1) 

mem = self.mydb.scene(rowid=2) 

curr2 = curr.copy() 

curr2[3, 5, 2] = np.nan 

curr3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]] 

curr3 = [curr3, curr3, curr3] 

curr3 = np.array(curr3) 

curr4 = np.zeros((3, 4, 5)) 

 

with self.assertRaises(ValueError): 

comparing.rot_imagediff(curr2, mem) 

with self.assertRaises(Exception): 

comparing.rot_imagediff(curr3, mem) 

with self.assertRaises(Exception): 

comparing.rot_imagediff(curr4, mem) 

 

# should be working -> check if result is correct 

for s in [curr]: 

diff = comparing.rot_imagediff(s, mem) 

self.assertFalse(diff.shape[0] <= 0) 

self.assertTrue(diff.shape[1] == 4) 

self.assertFalse(np.any(np.isnan(diff))) 

self.assertTrue(is_numeric_array(diff)) 

 

def test_rotimagediff_memory(self): 

""" 

this test checks the function rot_imagediff works 

correctly for the parameter memory. 

it checks if correct errors are raised for: 

- memory containing nans 

- memory has wrong dimension 

 

and checks if the returned frame is correct: 

- has correct shape 

- does not contain nans 

- contains only numeric values 

""" 

curr = self.mydb.scene(rowid=1) 

mem = self.mydb.scene(rowid=2) 

mem2 = curr.copy() 

mem2[3, 5, 2] = np.nan 

mem3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]] 

mem3 = [mem3, mem3, mem3] 

mem3 = np.array(mem3) 

mem4 = np.zeros((3, 4, 5)) 

 

with self.assertRaises(ValueError): 

comparing.rot_imagediff(curr, mem2) 

with self.assertRaises(Exception): 

comparing.rot_imagediff(curr, mem3) 

with self.assertRaises(Exception): 

comparing.rot_imagediff(curr, mem4) 

 

# should be working -> check if result is correct 

for s in [mem]: 

diff = comparing.rot_imagediff(curr, s) 

self.assertFalse(diff.shape[0] <= 0) 

self.assertTrue(diff.shape[1] == 4) 

self.assertFalse(np.any(np.isnan(diff))) 

self.assertTrue(is_numeric_array(diff)) 

 

def test_simple_imagediff_curr(self): 

""" 

this test checks the function simple_imagediff works 

correctly for the parameter current. 

it checks if correct errors are raised for: 

- memory containing nans 

- memory has wrong dimension 

 

and checks if the returned frame is correct: 

- has correct shape 

- does not contain nans 

- contains only numeric values 

""" 

curr = self.mydb.scene(rowid=1) 

mem = self.mydb.scene(rowid=2) 

curr2 = curr.copy() 

curr2[3, 5, 2] = np.nan 

curr3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]] 

curr3 = [curr3, curr3, curr3] 

curr3 = np.array(curr3) 

curr4 = np.zeros((3, 4, 5)) 

 

with self.assertRaises(ValueError): 

comparing.simple_imagediff(curr2, mem) 

with self.assertRaises(Exception): 

comparing.simple_imagediff(curr3, mem) 

with self.assertRaises(Exception): 

comparing.simple_imagediff(curr4, mem) 

 

# should be working -> check if result is correct 

for s in [curr]: 

diff = comparing.simple_imagediff(s, mem) 

self.assertFalse(diff.shape[0] <= 0) 

self.assertTrue(diff.shape[1] > 0) 

self.assertFalse(np.any(np.isnan(diff))) 

self.assertTrue(is_numeric_array(diff)) 

self.assertTrue(diff.shape[2] == 4) 

# self.assertTrue(diff.shape[3] == 1) 

 

def test_simple_imagediff_mem(self): 

""" 

this test checks the function imagediff works 

correctly for the parameter memory. 

it checks if correct errors are raised for: 

- memory containing nans 

- memory has wrong dimension 

 

and checks if the returned frame is correct: 

- has correct shape 

- does not contain nans 

- contains only numeric values 

""" 

curr = self.mydb.scene(rowid=1) 

mem = self.mydb.scene(rowid=2) 

mem2 = curr.copy() 

mem2[3, 5, 2] = np.nan 

mem3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]] 

mem3 = [mem3, mem3, mem3] 

mem3 = np.array(mem3) 

mem4 = np.zeros((3, 4, 5)) 

 

with self.assertRaises(ValueError): 

comparing.simple_imagediff(curr, mem2) 

with self.assertRaises(Exception): 

comparing.simple_imagediff(curr, mem3) 

with self.assertRaises(Exception): 

comparing.simple_imagediff(curr, mem4) 

 

# should be working -> check if result is correct 

for s in [mem]: 

diff = comparing.simple_imagediff(curr, s) 

self.assertFalse(diff.shape[0] <= 0) 

self.assertTrue(diff.shape[1] > 0) 

self.assertFalse(np.any(np.isnan(diff))) 

self.assertTrue(is_numeric_array(diff)) 

self.assertTrue(diff.shape[2] == 4) 

# self.assertTrue(diff.shape[3] == 1) 

 

def test_diff_optic_flow_memory(self): 

""" 

this test checks the function diff_optic_flow works 

correctly for the parameter memory. 

it checks if correct errors are raised for: 

- memory containing nans 

- memory has wrong dimension 

 

and checks if the returned frame is correct: 

- has correct shape 

- does not contain nans 

- contains only numeric values 

""" 

curr = self.mydb.scene(rowid=1) 

mem = self.mydb.scene(rowid=2) 

mem2 = curr.copy() 

mem2[3, 5, 2] = np.nan 

mem3 = [[1, 2, 3], [1, 2, 3], [1, 2, 3]] 

mem3 = [mem3, mem3, mem3] 

mem3 = np.array(mem3) 

mem4 = np.zeros((3, 4, 5)) 

 

with self.assertRaises(ValueError): 

comparing.diff_optic_flow(curr, mem2) 

with self.assertRaises(Exception): 

comparing.diff_optic_flow(curr, mem3) 

with self.assertRaises(Exception): 

comparing.diff_optic_flow(curr, mem4) 

 

# should be working -> check if result is correct 

for s in [mem]: 

vec = comparing.diff_optic_flow(curr, s) 

self.assertFalse(vec.shape[1] == (1, 2)) 

self.assertFalse(np.any(np.isnan(vec))) 

self.assertTrue(is_numeric_array(vec)) 

 

def test_diff_optic_flow_curr(self): 

""" 

this test checks the function diff_optic_flow works 

correctly for the parameter current. 

it checks if correct errors are raised for: 

- memory containing nans 

- memory has wrong dimension 

 

and checks if the returned frame is correct: 

- has correct shape 

- does not contain nans 

- contains only numeric values 

""" 

curr = self.mydb.scene(rowid=1) 

mem = self.mydb.scene(rowid=2) 

curr2 = curr.copy() 

curr2[3, 5, 2] = np.nan 

curr3 = [[1, 2], [1, 2], [1, 2]] 

curr3 = [curr3, curr3, curr3] 

curr3 = np.array(curr3) 

curr4 = np.zeros((3, 4, 5, 1)) 

 

with self.assertRaises(ValueError): 

comparing.diff_optic_flow(curr2, mem) 

with self.assertRaises(Exception): 

comparing.diff_optic_flow(curr3, mem) 

with self.assertRaises(Exception): 

comparing.diff_optic_flow(curr4, mem) 

 

# should be working -> check if result is correct 

for s in [mem]: 

vec = comparing.diff_optic_flow(s, curr) 

self.assertFalse(vec.shape[1] == (1, 2)) 

self.assertFalse(np.any(np.isnan(vec))) 

self.assertTrue(is_numeric_array(vec)) 

 

 

if __name__ == '__main__': 

unittest.main()