56 lines
1.5 KiB
Python
56 lines
1.5 KiB
Python
import pytest
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from numpy.testing import assert_allclose
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from logistic import f, iterate_f
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def test_f_corner_cases():
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# Test cases are (x, r, expected)
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cases = [
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(0, 1.1, 0),
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(1, 3.7, 0),
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]
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for x, r, expected in cases:
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result = f(x, r)
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assert_allclose(result, expected)
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# Hands on 1
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#Add a new test for these generic cases using the for-loop pattern:
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# x=0.1, r=2.2 => f(x, r)=0.198
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# x=0.2, r=3.4 => f(x, r)=0.544
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# x=0.5, r=2 => f(x, r)=0.5
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# Hands on 2:
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# parametrize the above test using @pytest.mark.parametrize
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@pytest.mark.parametrize(
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'x, r, expected',
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[
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(0.1, 2.2 ,0.198),
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(0.2, 3.4 ,0.544),
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(0.5, 2 ,0.5)
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]
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)
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def test_f_generic_cases(x, r, expected):
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result = f(x, r)
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assert_allclose(result, expected)
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@pytest.mark.parametrize(
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'x, r, n_iterations, expected',
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[
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(0.1, 2.2 , 1, [0.1, 0.198]),
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(0.2, 3.4 , 4, [0.2, 0.544, 0.843418, 0.449019, 0.841163]),
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(0.5, 2, 3, [0.5, 0.5, 0.5, 0.5])
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]
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)
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def test_iterate_f_generic(x, r, n_iterations, expected):
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result = iterate_f(x, r, n_iterations)
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assert_allclose(result, expected, rtol=1e-6)
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# Hands on 3
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# Implement a function iterate_f that runs f for it iterations. Write tests for the following cases:
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# x=0.1, r=2.2, it=1 => iterate_f(it, x, r)=[0.1, 0.198]
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# x=0.2, r=3.4, it=4 => iterate_f(it, x, r)=[0.2, 0.544, 0.843418, 0.449019, 0.841163]
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# x=0.5, r=2, it=3 => iterate_f(it, x, r)=[0.5, 0.5, 0.5]
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