Tests for Task 5: Run the simulation¶
This page describes the tests for Task 5. For each task, we provide a short description of the test, information about how to recreate the test in ipython3
, and the expected result.
To run the tasks for Task 5, run the following command at the Linux command-line:
$ py.test -xvk run
When you run this command, you’ll see that some tests are labelled as SKIPPED
. You can ignore these tests for now,we’ll come back to them later when we introduce vaccines into our simulation.
Test 0¶
Description: No one is infected. The simulation stops immediately.
To run this test in ipython3
:
city = [('S', 0), # loc: 0
('S', 0), # loc: 1
('S', 0), # loc: 2
('R', 0)] # loc: 3
sir.run_simulation(city, 3, 0)
Expected result:
([['S', 0], # loc: 0
['S', 0], # loc: 1
['S', 0], # loc: 2
['R', 0]], # loc: 3
0)
Test 1¶
Description: No one is susceptible. The simulation stops immediately.
To run this test in ipython3
:
city = [('I', 0), # loc: 0
('I', 0), # loc: 1
('R', 0), # loc: 2
('R', 0)] # loc: 3
sir.run_simulation(city, 3, 0)
Expected result:
([['I', 0], # loc: 0
['I', 0], # loc: 1
['R', 0], # loc: 2
['R', 0]], # loc: 3
0)
Test 2¶
Description: Susceptible folks get infected on the first day.
To run this test in ipython3
:
city = [('S', 0), # loc: 0
('S', 0), # loc: 1
('I', 0)] # loc: 2
sir.run_simulation(city, 3, 0)
Expected result:
([['I', 0], # loc: 0
['I', 0], # loc: 1
['I', 1]], # loc: 2
1)
Test 3¶
Description: Susceptible person gets infected on the first day. Infected person, recovers
To run this test in ipython3
:
city = [('S', 0), # loc: 0
('R', 0), # loc: 1
('I', 0)] # loc: 2
sir.run_simulation(city, 1, 0)
Expected result:
([['I', 0], # loc: 0
['R', 1], # loc: 1
['R', 0]], # loc: 2
1)
Test 4¶
Description: Medium city: The suspectible person in the middle gets infected, while the susceptible person at the end is protected by recovered neighbors.
To run this test in ipython3
:
city = [('R', 0), # loc: 0
('I', 0), # loc: 1
('S', 0), # loc: 2
('I', 1), # loc: 3
('S', 0), # loc: 4
('R', 0), # loc: 5
('S', 0)] # loc: 6
sir.run_simulation(city, 5, 0)
Expected result:
([['R', 1], # loc: 0
['I', 1], # loc: 1
['I', 0], # loc: 2
['I', 2], # loc: 3
['I', 0], # loc: 4
['R', 1], # loc: 5
['S', 1]], # loc: 6
1)
Test 5¶
Description: Medium city: infection ripples through the city. Recovered person at the end prevents wrap-around infections
To run this test in ipython3
:
city = [('I', 0), # loc: 0
('S', 0), # loc: 1
('S', 0), # loc: 2
('S', 1), # loc: 3
('S', 0), # loc: 4
('S', 0), # loc: 5
('S', 0), # loc: 6
('R', 0)] # loc: 7
sir.run_simulation(city, 3, 0)
Expected result:
([['R', 3], # loc: 0
['R', 2], # loc: 1
['R', 1], # loc: 2
['R', 0], # loc: 3
['I', 2], # loc: 4
['I', 1], # loc: 5
['I', 0], # loc: 6
['R', 6]], # loc: 7
6)
Test 6¶
Description: Medium city: infection ripples through the city from both directions due to wrap-around
To run this test in ipython3
:
city = [('I', 0), # loc: 0
('S', 0), # loc: 1
('S', 0), # loc: 2
('S', 1), # loc: 3
('S', 0), # loc: 4
('S', 0), # loc: 5
('S', 0), # loc: 6
('S', 0)] # loc: 7
sir.run_simulation(city, 3, 0)
Expected result:
([['R', 1], # loc: 0
['R', 0], # loc: 1
['I', 2], # loc: 2
['I', 1], # loc: 3
['I', 0], # loc: 4
['I', 1], # loc: 5
['I', 2], # loc: 6
['R', 0]], # loc: 7
4)
Test 7¶
Description: Large city. Some susceptible people get infected. Others are protected by recovered people.
To run this test in ipython3
:
city = [('I', 1), # loc: 0
('R', 0), # loc: 1
('S', 0), # loc: 2
('S', 0), # loc: 3
('S', 0), # loc: 4
('R', 0), # loc: 5
('S', 0), # loc: 6
('S', 0), # loc: 7
('S', 0), # loc: 8
('I', 1), # loc: 9
('I', 1), # loc: 10
('R', 0), # loc: 11
('S', 0), # loc: 12
('S', 0), # loc: 13
('S', 0), # loc: 14
('R', 0), # loc: 15
('S', 0), # loc: 16
('S', 0), # loc: 17
('S', 0), # loc: 18
('I', 1), # loc: 19
('S', 0), # loc: 20
('S', 0), # loc: 21
('S', 0), # loc: 22
('I', 1), # loc: 23
('R', 0), # loc: 24
('S', 0), # loc: 25
('S', 0), # loc: 26
('S', 0), # loc: 27
('R', 0), # loc: 28
('S', 0), # loc: 29
('S', 0), # loc: 30
('S', 0), # loc: 31
('I', 1), # loc: 32
('I', 1), # loc: 33
('R', 0), # loc: 34
('S', 0), # loc: 35
('S', 0), # loc: 36
('S', 0), # loc: 37
('R', 0), # loc: 38
('S', 0), # loc: 39
('S', 0), # loc: 40
('S', 0), # loc: 41
('I', 1), # loc: 42
('S', 0), # loc: 43
('S', 0), # loc: 44
('S', 0), # loc: 45
('S', 0), # loc: 46
('S', 0), # loc: 47
('S', 0)] # loc: 48
sir.run_simulation(city, 2, 0)
Expected result:
([['R', 2], # loc: 0
['R', 3], # loc: 1
['S', 3], # loc: 2
['S', 3], # loc: 3
['S', 3], # loc: 4
['R', 3], # loc: 5
['I', 0], # loc: 6
['I', 1], # loc: 7
['R', 0], # loc: 8
['R', 2], # loc: 9
['R', 2], # loc: 10
['R', 3], # loc: 11
['S', 3], # loc: 12
['S', 3], # loc: 13
['S', 3], # loc: 14
['R', 3], # loc: 15
['I', 0], # loc: 16
['I', 1], # loc: 17
['R', 0], # loc: 18
['R', 2], # loc: 19
['R', 0], # loc: 20
['I', 1], # loc: 21
['R', 0], # loc: 22
['R', 2], # loc: 23
['R', 3], # loc: 24
['S', 3], # loc: 25
['S', 3], # loc: 26
['S', 3], # loc: 27
['R', 3], # loc: 28
['I', 0], # loc: 29
['I', 1], # loc: 30
['R', 0], # loc: 31
['R', 2], # loc: 32
['R', 2], # loc: 33
['R', 3], # loc: 34
['S', 3], # loc: 35
['S', 3], # loc: 36
['S', 3], # loc: 37
['R', 3], # loc: 38
['I', 0], # loc: 39
['I', 1], # loc: 40
['R', 0], # loc: 41
['R', 2], # loc: 42
['R', 0], # loc: 43
['I', 1], # loc: 44
['I', 0], # loc: 45
['I', 0], # loc: 46
['I', 1], # loc: 47
['R', 0]], # loc: 48
3)
Tests for Part 2: Adding vaccinated people¶
This section describes tests for Part 2, which includes vaccinated people. Work through these tests after you have completed Part 1 (Tasks 1-5).
To run the tasks for Part 2, run the following command at the Linux command-line:
$ py.test -xvk run --runvax
Test 0¶
Description: No one is infected. The simulation stops immediately.
To run this test in ipython3
:
random.seed(0)
city = [('V', 0), # loc: 0
('S', 0), # loc: 1
('S', 0), # loc: 2
('R', 0)] # loc: 3
sir.run_simulation(city, 3, 0)
Expected result:
([['V', 0], # loc: 0
['S', 0], # loc: 1
['S', 0], # loc: 2
['R', 0]], # loc: 3
0)
Test 1¶
Description: Vaxxed person gets infected on the first.
To run this test in ipython3
:
random.seed(5)
city = [('V', 0), # loc: 0
('I', 0), # loc: 1
('R', 0), # loc: 2
('R', 0)] # loc: 3
sir.run_simulation(city, 3, 0.8)
Expected result:
([['I', 0], # loc: 0
['I', 1], # loc: 1
['R', 1], # loc: 2
['R', 1]], # loc: 3
1)
Test 2¶
Description: Susceptible person and vaxxed person get infected on the first day. Infected person, recovers
To run this test in ipython3
:
random.seed(5)
city = [('S', 0), # loc: 0
('V', 0), # loc: 1
('I', 0)] # loc: 2
sir.run_simulation(city, 1, 0.8)
Expected result:
([['I', 0], # loc: 0
['I', 0], # loc: 1
['R', 0]], # loc: 2
1)
Test 3¶
Description: One susceptible person get infected on the first day. The other susceptible and vaxxed person gets infected on the second day
To run this test in ipython3
:
random.seed(10)
city = [('S', 0), # loc: 0
('S', 0), # loc: 1
('I', 0), # loc: 2
('V', 0)] # loc: 3
sir.run_simulation(city, 3, 0.5)
Expected result:
([['I', 0], # loc: 0
['I', 1], # loc: 1
['I', 2], # loc: 2
['I', 0]], # loc: 3
2)
Test 4¶
Description: One vaxxed person get infected on the first day. The other vaxxed person gets infected on the second day
To run this test in ipython3
:
random.seed(211)
city = [('I', 0), # loc: 0
('S', 0), # loc: 1
('I', 0), # loc: 2
('V', 0), # loc: 3
('V', 1)] # loc: 4
sir.run_simulation(city, 5, 0.6)
Expected result:
([['I', 2], # loc: 0
['I', 1], # loc: 1
['I', 2], # loc: 2
['I', 1], # loc: 3
['I', 0]], # loc: 4
2)
Test 5¶
Description: Medium city: infection ripples through the city.
To run this test in ipython3
:
random.seed(8)
city = [('I', 0), # loc: 0
('S', 0), # loc: 1
('S', 0), # loc: 2
('S', 1), # loc: 3
('S', 0), # loc: 4
('S', 0), # loc: 5
('S', 0), # loc: 6
('V', 0)] # loc: 7
sir.run_simulation(city, 3, 0.5)
Expected result:
([['R', 1], # loc: 0
['R', 0], # loc: 1
['I', 2], # loc: 2
['I', 1], # loc: 3
['I', 0], # loc: 4
['I', 1], # loc: 5
['I', 2], # loc: 6
['R', 0]], # loc: 7
4)
Test 6¶
Description: Medium city: infection ripples through the city.
To run this test in ipython3
:
random.seed(17)
city = [('I', 0), # loc: 0
('S', 0), # loc: 1
('S', 0), # loc: 2
('V', 1), # loc: 3
('S', 0), # loc: 4
('S', 0), # loc: 5
('V', 0), # loc: 6
('S', 0)] # loc: 7
sir.run_simulation(city, 3, 0.3)
Expected result:
([['R', 6], # loc: 0
['R', 5], # loc: 1
['R', 4], # loc: 2
['R', 2], # loc: 3
['R', 1], # loc: 4
['R', 0], # loc: 5
['I', 0], # loc: 6
['R', 5]], # loc: 7
9)