36 lines
1 KiB
Python
36 lines
1 KiB
Python
from numpy.testing import assert_allclose
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import pytest
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from logistic import f
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@pytest.mark.parametrize('x,r,expected', [(0, 1.1, 0),(1, 3.7, 0)])
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def test_f_corner_cases(x, r, expected):
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# Test cases are (x, r, expected)
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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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def test_f_normal_cases():
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cases = [
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(.1, 2.2, .198),
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(.2, 3.4, .544),
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(.5, 2, .5),
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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 2:
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# parametrize the above test using @pytest.mark.parametrize
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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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