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Score tests (#1847)
* update Python version on README; tuple typing fix * Alaska tribal points fix (#1821) * Bump mistune from 0.8.4 to 2.0.3 in /data/data-pipeline (#1777) Bumps [mistune](https://github.com/lepture/mistune) from 0.8.4 to 2.0.3. - [Release notes](https://github.com/lepture/mistune/releases) - [Changelog](https://github.com/lepture/mistune/blob/master/docs/changes.rst) - [Commits](https://github.com/lepture/mistune/compare/v0.8.4...v2.0.3) --- updated-dependencies: - dependency-name: mistune dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * poetry update * initial pass of score tests * add threshold tests * added ses threshold (not donut, not island) * testing suite -- stopping for the day * added test for lead proxy indicator * Refactor score tests to make them less verbose and more direct (#1865) * Cleanup tests slightly before refactor (#1846) * Refactor score calculations tests * Feedback from review * Refactor output tests like calculatoin tests (#1846) (#1870) * Reorganize files (#1846) * Switch from lru_cache to fixture scorpes (#1846) * Add tests for all factors (#1846) * Mark smoketests and run as part of be deply (#1846) * Update renamed var (#1846) * Switch from named tuple to dataclass (#1846) This is annoying, but pylint in python3.8 was crashing parsing the named tuple. We weren't using any namedtuple-specific features, so I made the type a dataclass just to get pylint to behave. * Add default timout to requests (#1846) * Fix type (#1846) * Fix merge mistake on poetry.lock (#1846) Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: Jorge Escobar <jorge.e.escobar@omb.eop.gov> Co-authored-by: Jorge Escobar <83969469+esfoobar-usds@users.noreply.github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Matt Bowen <83967628+mattbowen-usds@users.noreply.github.com> Co-authored-by: matt bowen <matthew.r.bowen@omb.eop.gov>
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@ -10,7 +10,9 @@ STATE_FIELD = "State/Territory"
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COUNTY_FIELD = "County Name"
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# Definition Narwhal fields
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SCORE_N = "Definition N (communities)"
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FINAL_SCORE_N_BOOLEAN = (
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"Definition M community, including adjacency index tracts"
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)
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SCORE_N_COMMUNITIES = "Definition N (communities)"
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N_CLIMATE = "Climate Factor (Definition N)"
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N_ENERGY = "Energy Factor (Definition N)"
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@ -14,20 +14,17 @@ logger = get_module_logger(__name__)
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class ScoreNarwhal(Score):
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"""Very similar to Score M, at present."""
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def __init__(self, df: pd.DataFrame) -> None:
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self.LOW_INCOME_THRESHOLD: float = 0.65
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self.MAX_COLLEGE_ATTENDANCE_THRESHOLD: float = 0.20
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self.ENVIRONMENTAL_BURDEN_THRESHOLD: float = 0.90
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self.MEDIAN_HOUSE_VALUE_THRESHOLD: float = 0.90
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self.LACK_OF_HIGH_SCHOOL_MINIMUM_THRESHOLD: float = 0.10
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LOW_INCOME_THRESHOLD: float = 0.65
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MAX_COLLEGE_ATTENDANCE_THRESHOLD: float = 0.20
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ENVIRONMENTAL_BURDEN_THRESHOLD: float = 0.90
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MEDIAN_HOUSE_VALUE_THRESHOLD: float = 0.90
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LACK_OF_HIGH_SCHOOL_MINIMUM_THRESHOLD: float = 0.10
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# We define a donut hole DAC as a tract that is entirely surrounded by
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# DACs (score threshold = 1) and above median for low income, as a starting
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# point. As we ground-truth, these thresholds might change.
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self.LOW_INCOME_THRESHOLD_DONUT: float = 0.50
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self.SCORE_THRESHOLD_DONUT: float = 1.00
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super().__init__(df)
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# We define a donut hole DAC as a tract that is entirely surrounded by
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# DACs (score threshold = 1) and above median for low income, as a starting
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# point. As we ground-truth, these thresholds might change.
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LOW_INCOME_THRESHOLD_DONUT: float = 0.50
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SCORE_THRESHOLD_DONUT: float = 1.00
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def _combine_island_areas_with_states_and_set_thresholds(
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self,
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