kyu_6.disease_spread package

Submodules

kyu_6.disease_spread.epidemic module

Solution for -> Disease Spread.

Created by Egor Kostan. GitHub: https://github.com/ikostan

kyu_6.disease_spread.epidemic.epidemic(**kwargs) → int

Epidemic function.

We want to study the spread of the disease through the population of this school. The total population may be divided into three: - the infecteds (i) - those who have recovered (r), and those who are still susceptible (s) to get the disease

We will study the disease on a period of tm days.

The interval [0, tm] will be divided in n small intervals of length dt = tm/n. Initial conditions here could be : S0 = 999, I0 = 1, R0 = 0 Whatever S0 and I0, R0 (number of recovered at time 0) is always 0.

The function epidemic will return the maximum number of infecteds as an integer (truncate to integer the result of max(I)).

tm: the disease on a period of days n: small intervals of length s0: those who are still susceptible to get the disease (Initial conditions) i0: the infected (Initial conditions) b: representing a number of contacts which can spread the disease a: fraction of the infected that will recover

Returns:

the maximum number of infected as an integer (truncate to integer the result of max(I)).

kyu_6.disease_spread.epidemic_test_data module

Epidemic Test Data Class.

Created by Egor Kostan. GitHub: https://github.com/ikostan

class kyu_6.disease_spread.epidemic_test_data.EpidemicTestData(**kwargs)

Bases: object

Epidemic Test Data Class.

property a

Returns a value.

Returns:

property b

Returns b value.

Returns:

property expected

Returns expected value.

Returns:

property i0

Returns i0 value.

Returns:

property n

Returns n value.

Returns:

property s0

Returns s0 value.

Returns:

property tm

Returns tm value.

Returns:

kyu_6.disease_spread.test_epidemic module

Test for -> Disease Spread.

Created by Egor Kostan. GitHub: https://github.com/ikostan

class kyu_6.disease_spread.test_epidemic.EpidemicTestCase(methodName='runTest')

Bases: TestCase

Testing for solution Disease Spread.

_classSetupFailed = False

_class_cleanups = []

test_epidemic = None

test_epidemic_0(**kw)

Testing epidemic function [with etd=tm: 18, n: 432, s0: 1004, i0: 1,… 0.00209, a: 0.51, expected: 420].

Returns:

test_epidemic_1(**kw)

Testing epidemic function [with etd=tm: 12, n: 288, s0: 1007, i0: 2,… 0.00206, a: 0.45, expected: 461].

Returns:

test_epidemic_2(**kw)

Testing epidemic function [with etd=tm: 13, n: 312, s0: 999, i0: 1, … 0.00221, a: 0.55, expected: 409].

Returns:

test_epidemic_3(**kw)

Testing epidemic function [with etd=tm: 24, n: 576, s0: 1005, i0: 1,… 0.00216, a: 0.45, expected: 474].

Returns:

test_epidemic_4(**kw)

Testing epidemic function [with etd=tm: 24, n: 576, s0: 982, i0: 1, … 0.00214, a: 0.44, expected: 460].

Returns:

test_epidemic_5(**kw)

Testing epidemic function [with etd=tm: 20, n: 480, s0: 1000, i0: 1,… 0.00199, a: 0.53, expected: 386].

Returns:

test_epidemic_6(**kw)

Testing epidemic function [with etd=tm: 28, n: 672, s0: 980, i0: 1, … 0.00198, a: 0.44, expected: 433].

Returns:

test_epidemic_7(**kw)

Testing epidemic function [with etd=tm: 14, n: 336, s0: 996, i0: 2, … 0.00206, a: 0.41, expected: 483].

Returns:

test_epidemic_8(**kw)

Testing epidemic function [with etd=tm: 13, n: 312, s0: 993, i0: 2, …: 0.0021, a: 0.51, expected: 414].

Returns:

test_epidemic_9(**kw)

Testing epidemic function [with etd=tm: 28, n: 672, s0: 999, i0: 1, … 0.00197, a: 0.55, expected: 368].

Returns:

Module contents

Disease Spread.