mandos.analysis.AnalysisUtils.weights_of_pairs() - Code Metrics - Inspection of "build(deps): bump pandas from 1.2.5 to 1.3.0" - dmyersturnbull/mandos - Measure and Improve Code Quality continuously with Scrutinizer

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Pull Request — main (#40)

unknown

created 2021-07-05 03:07 UTC

mandos.analysis.AnalysisUtils.weights_of_pairs() A

↳ Parent: mandos.analysis

Complexity

Conditions

Size

Total Lines	9
Code Lines	5

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	1
eloc	5
nop	3
dl	0
loc	9
rs	10
c	0
b	0
f	0

"""
Calculations.
"""
import math
from collections import defaultdict
from typing import Collection, Dict, Sequence, Set, Tuple

from typeddfs import TypedDfs


from mandos.model.hits import AbstractHit, HitFrame, Pair

SimilarityDf = TypedDfs.typed("DistanceDf").symmetric().build()


class AnalysisUtils:

    @classmethod
    def elle(cls, x: float) -> float:

        return math.log10(1 + x)

    @classmethod
    def hit_multidict(cls, hits: Sequence[AbstractHit], key: str):

        x_to_hits = defaultdict(list)
        for hit in hits:
            x_to_hits[getattr(hit, key)].append(hit)
        return x_to_hits

    @classmethod
    def weights_of_pairs(
        cls, hits1: Collection[AbstractHit], hits2: Collection[AbstractHit]

    ) -> Dict[Pair, Tuple[float, float]]:
        """
        Calculates the sum of
        """
        union = {h.to_pair for h in hits1}.union({h.to_pair for h in hits2})
        return {p: (cls._score(hits1, p), cls._score(hits2, p)) for p in union}

    @classmethod
    def _score(cls, hits: Collection[AbstractHit], pair: Pair) -> int:
        return sum([h.value for h in hits if h.to_pair == pair])


__all__ = ["AnalysisUtils", "SimilarityDf"]


1			"""
2			Calculations.
3			"""
4			import math
5			from collections import defaultdict
6			from typing import Collection, Dict, Sequence, Set, Tuple
7
8			from typeddfs import TypedDfs
			0 ignored issues – show introduced 2021-06-30 04:51 UTC by Report Bug Copy Issue Report Unable to import 'typeddfs' Loading history...
9
10			from mandos.model.hits import AbstractHit, HitFrame, Pair
11
12			SimilarityDf = TypedDfs.typed("DistanceDf").symmetric().build()
13
14
15			class AnalysisUtils:
			0 ignored issues – show introduced 2021-06-30 04:51 UTC by Report Bug Copy Issue Report Missing class docstring Loading history...
16			@classmethod
17			def elle(cls, x: float) -> float:
			0 ignored issues – show introduced 2021-07-05 03:20 UTC by Report Bug Copy Issue Report Missing function or method docstring Loading history... Coding Style Naming introduced 2021-07-05 03:20 UTC by Report Bug Copy Issue Report Argument name "x" doesn't conform to snake_case naming style ('([^\\W\\dA-Z][^\\WA-Z]2,\|_[^\\WA-Z]*\|__[^\\WA-Z\\d_][^\\WA-Z]+__)$' pattern) This check looks for invalid names for a range of different identifiers. You can set regular expressions to which the identifiers must conform if the defaults do not match your requirements. If your project includes a Pylint configuration file, the settings contained in that file take precedence. To find out more about Pylint, please refer to their site. Loading history...
18			return math.log10(1 + x)
19
20			@classmethod
21			def hit_multidict(cls, hits: Sequence[AbstractHit], key: str):
			0 ignored issues – show introduced 2021-07-05 03:20 UTC by Report Bug Copy Issue Report Missing function or method docstring Loading history...
22			x_to_hits = defaultdict(list)
23			for hit in hits:
24			x_to_hits[getattr(hit, key)].append(hit)
25			return x_to_hits
26
27			@classmethod
28			def weights_of_pairs(
29			cls, hits1: Collection[AbstractHit], hits2: Collection[AbstractHit]
			0 ignored issues – show Coding Style introduced 2021-06-30 04:51 UTC by Report Bug Copy Issue Report Wrong hanging indentation before block (add 4 spaces). Loading history...
30			) -> Dict[Pair, Tuple[float, float]]:
31			"""
32			Calculates the sum of
33			"""
34			union = {h.to_pair for h in hits1}.union({h.to_pair for h in hits2})
35			return {p: (cls._score(hits1, p), cls._score(hits2, p)) for p in union}
36
37			@classmethod
38			def _score(cls, hits: Collection[AbstractHit], pair: Pair) -> int:
39			return sum([h.value for h in hits if h.to_pair == pair])
40
41
42			__all__ = ["AnalysisUtils", "SimilarityDf"]
43

dmyersturnbull / mandos

Pull Request — main (#40)

mandos.analysis.AnalysisUtils.weights_of_pairs() A

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