20b0467f89
- extract, isolate and package it in a completely independent Python module, versioned and in a way that allows releases on PyPI.org - fixed error in placeholder for secondary school (data registry defaults) - added restriction in pytest version to install - expected number of new cases fix - data registry update (schema v2.1.1) - github update - deprecate ExpertApplication and CO2Application - changes to reflect schema update 2.0.2 - version update - Fixed error with f_inf (short-range) - new folder layout - Conditional probability data update - General fixes - Fitting results in L/S/person - CO2 fitting algorithm refinement
39 lines
850 B
Python
39 lines
850 B
Python
import dataclasses
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from caimira.calculator.models.dataclass_utils import nested_replace, walk_dataclass
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@dataclasses.dataclass(frozen=True)
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class Four:
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four: float
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@dataclasses.dataclass(frozen=True)
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class Two:
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three: int
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four: Four
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@dataclasses.dataclass(frozen=True)
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class One:
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one: int
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two: Two
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def test_nested_replace():
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inst = One(1, two=Two(3, Four(4)))
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new_inst = nested_replace(inst, {'two.four': Four(5)})
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assert new_inst == One(1, two=Two(3, Four(5)))
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def test_walk():
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inst = One(1, two=Two(3, Four(4)))
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expected = [
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('inst.one', inst.one),
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('inst.two', inst.two),
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('inst.two.three', inst.two.three),
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('inst.two.four', inst.two.four),
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('inst.two.four.four', inst.two.four.four),
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]
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assert list(walk_dataclass(inst, name='inst')) == expected
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