76e76f1a-5c1b-4fc6-ae21-8c08d3f6ab74

Committed 21 May 2025 04:25PM UTC coverage: 99.611% (-0.4%) from 100.0%

Build # 76e76f1a-5c1b-4fc6-ae21-8c08d3f6ab74

Build Type

Pull #24

circleci

Committed by

maxkadel

Commit Message

Small fixes

Pull Request Pull Request #24: Green locally - connect to Postgres DB

Run Details

204 of 207 new or added lines in 9 files covered. (98.55%)

2 existing lines in 1 file now uncovered.

769 of 772 relevant lines covered (99.61%)

1.0 hits per line

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94.74

/src/confusion_matrix.py

class ConfusionMatrix:
    def __init__(self, labels_data, model_data):
        self.labels_data = labels_data
        self.model_data = model_data
        self.confusion_matrix = self.build_matrix()

    def build_matrix(self):
        confusion_matrix = dict(
            [
                ("true positive", 0),
                ("true negative", 0),
                ("false positive", 0),
                ("false negative", 0),
            ]
        )
        for label_row in self.labels_data:
            try:
                first_cluster_id = self.model_data[label_row["id1"]]["cluster_id"]
                second_cluster_id = self.model_data[label_row["id2"]]["cluster_id"]
                label = int(label_row["label"])
                model_guess = self.model_guess(first_cluster_id, second_cluster_id)
                if label == model_guess == 1:
                    confusion_matrix["true positive"] += 1
                elif label == model_guess == 0:
                    confusion_matrix["true negative"] += 1
                elif label != model_guess and label == 1:
                    confusion_matrix["false negative"] += 1
                elif label != model_guess and label == 0:
                    confusion_matrix["false positive"] += 1
            except KeyError:
                pass
        return confusion_matrix

    def tp(self):
        return self.confusion_matrix["true positive"]

    def tn(self):
        return self.confusion_matrix["true negative"]

    def fp(self):
        return self.confusion_matrix["false positive"]

    def fn(self):
        return self.confusion_matrix["false negative"]

    def model_guess(self, first_cluster_id, second_cluster_id):
        guess = None
        if first_cluster_id == second_cluster_id:
            guess = 1
        else:
            guess = 0
        return guess

1	class ConfusionMatrix:	1✔
2	def __init__(self, labels_data, model_data):	1✔
3	self.labels_data = labels_data	1✔
4	self.model_data = model_data	1✔
5	self.confusion_matrix = self.build_matrix()	1✔
6
7	def build_matrix(self):	1✔
8	confusion_matrix = dict(	1✔
9	[
10	("true positive", 0),
11	("true negative", 0),
12	("false positive", 0),
13	("false negative", 0),
14	]
15	)
16	for label_row in self.labels_data:	1✔
17	try:	1✔
18	first_cluster_id = self.model_data[label_row["id1"]]["cluster_id"]	1✔
19	second_cluster_id = self.model_data[label_row["id2"]]["cluster_id"]	1✔
20	label = int(label_row["label"])	1✔
21	model_guess = self.model_guess(first_cluster_id, second_cluster_id)	1✔
22	if label == model_guess == 1:	1✔
23	confusion_matrix["true positive"] += 1	1✔
24	elif label == model_guess == 0:	1✔
25	confusion_matrix["true negative"] += 1	1✔
26	elif label != model_guess and label == 1:	1✔
27	confusion_matrix["false negative"] += 1	1✔
28	elif label != model_guess and label == 0:	1✔
29	confusion_matrix["false positive"] += 1	1✔
NEW UNCOV 30	except KeyError:	×
NEW UNCOV 31	pass	×
32	return confusion_matrix	1✔
33
34	def tp(self):	1✔
35	return self.confusion_matrix["true positive"]	1✔
36
37	def tn(self):	1✔
38	return self.confusion_matrix["true negative"]	1✔
39
40	def fp(self):	1✔
41	return self.confusion_matrix["false positive"]	1✔
42
43	def fn(self):	1✔
44	return self.confusion_matrix["false negative"]	1✔
45
46	def model_guess(self, first_cluster_id, second_cluster_id):	1✔
47	guess = None	1✔
48	if first_cluster_id == second_cluster_id:	1✔
49	guess = 1	1✔
50	else:
51	guess = 0	1✔
52	return guess	1✔

pulibrary / pymarc_dedupe / 76e76f1a-5c1b-4fc6-ae21-8c08d3f6ab74

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