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refining BarChartDescriptionTablesTest

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This commit is contained in:
frankknoll
2023-08-26 21:46:46 +02:00
parent a177b9682d
commit cb00dcb8d6
2 changed files with 154 additions and 83 deletions
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11
src/BarChartDescriptionTables.py
View File

@@ -1,4 +1,5 @@
import math
import numpy as np
class BarChartDescriptionTables:
@@ -24,3 +25,13 @@ class BarChartDescriptionTables:
def _hasMinSizeOfGuessedHistogram(barChartDescription, minSizeOfGuessedHistogram):
sizeOfGuessedHistogram = sum(barChartDescription['BAR_CHART_DESCRIPTION']['Adverse Reaction Reports guessed'])
return sizeOfGuessedHistogram >= minSizeOfGuessedHistogram
@staticmethod
def filterHasCountryWithGuessedGreaterThanKnown(barChartDescriptionTable):
return barChartDescriptionTable[barChartDescriptionTable.apply(BarChartDescriptionTables._hasCountryWithGuessedGreaterThanKnown, axis='columns')]
@staticmethod
def _hasCountryWithGuessedGreaterThanKnown(barChartDescription):
guessedBarChart = barChartDescription['BAR_CHART_DESCRIPTION']['Adverse Reaction Reports guessed']
knownBarChart = barChartDescription['BAR_CHART_DESCRIPTION']['Adverse Reaction Reports known']
return np.any(np.asarray(guessedBarChart) > np.asarray(knownBarChart))

220
src/BarChartDescriptionTablesTest.py
View File

@@ -5,121 +5,181 @@ from pandas.testing import assert_frame_equal
from TestHelper import TestHelper
from BarChartDescriptionTables import BarChartDescriptionTables
class BarChartDescriptionTablesTest(unittest.TestCase):
def test_filterValidJensenShannonDistances(self):
# Given
barChartDescriptionTable = TestHelper.createDataFrame(
columns = ['BAR_CHART_DESCRIPTION'],
data = [
[
{
'countries': ['Germany', 'Hungary'],
'Adverse Reaction Reports guessed': [0, 0],
'Adverse Reaction Reports known': [20, 30],
'Jensen-Shannon distance': np.nan
}
],
[
{
'countries': ['Germany'],
'Adverse Reaction Reports guessed': [70],
'Adverse Reaction Reports known': [80],
'Jensen-Shannon distance': 0.4711
}
]
],
index = pd.Index(
[
'!D0181',
'# 009C01A'
],
name = 'VAX_LOT'))
columns=['BAR_CHART_DESCRIPTION'],
data=[
[
{
'countries': ['Germany', 'Hungary'],
'Adverse Reaction Reports guessed': [0, 0],
'Adverse Reaction Reports known': [20, 30],
'Jensen-Shannon distance': np.nan
}
],
[
{
'countries': ['Germany'],
'Adverse Reaction Reports guessed': [70],
'Adverse Reaction Reports known': [80],
'Jensen-Shannon distance': 0.4711
}
]
],
index=pd.Index(
[
'!D0181',
'# 009C01A'
],
name='VAX_LOT'))
# When
barChartDescriptionTableResult = BarChartDescriptionTables.filterValidJensenShannonDistances(barChartDescriptionTable)
barChartDescriptionTableResult = BarChartDescriptionTables.filterValidJensenShannonDistances(
barChartDescriptionTable)
# Then
assert_frame_equal(
barChartDescriptionTableResult,
TestHelper.createDataFrame(
columns = ['BAR_CHART_DESCRIPTION'],
data = [
[
{
'countries': ['Germany'],
'Adverse Reaction Reports guessed': [70],
'Adverse Reaction Reports known': [80],
'Jensen-Shannon distance': 0.4711
}
]
],
index = pd.Index(
columns=['BAR_CHART_DESCRIPTION'],
data=[
[
{
'countries': ['Germany'],
'Adverse Reaction Reports guessed': [70],
'Adverse Reaction Reports known': [80],
'Jensen-Shannon distance': 0.4711
}
]
],
index=pd.Index(
[
'# 009C01A',
],
name = 'VAX_LOT')),
check_dtype = True)
name='VAX_LOT')),
check_dtype=True)
def test_filterHasMinSizeOfGuessedHistogram_true(self):
# Given
barChartDescriptionTable = TestHelper.createDataFrame(
columns = ['BAR_CHART_DESCRIPTION'],
data = [
[
{
'countries': ['Germany', 'Hungary'],
'Adverse Reaction Reports guessed': [10, 20],
'Adverse Reaction Reports known': [20, 30],
'Jensen-Shannon distance': 0.4711
}
]
],
index = pd.Index(
[
'!D0181'
],
name = 'VAX_LOT'))
columns=['BAR_CHART_DESCRIPTION'],
data=[
[
{
'countries': ['Germany', 'Hungary'],
'Adverse Reaction Reports guessed': [10, 20],
'Adverse Reaction Reports known': [20, 30],
'Jensen-Shannon distance': 0.4711
}
]
],
index=pd.Index(
[
'!D0181'
],
name='VAX_LOT'))
# When
barChartDescriptionTableResult = BarChartDescriptionTables.filterHasMinSizeOfGuessedHistogram(barChartDescriptionTable, 20)
barChartDescriptionTableResult = BarChartDescriptionTables.filterHasMinSizeOfGuessedHistogram(
barChartDescriptionTable, 20)
# Then
assert_frame_equal(
barChartDescriptionTableResult,
barChartDescriptionTable,
check_dtype = True)
check_dtype=True)
def test_filterHasMinSizeOfGuessedHistogram_false(self):
# Given
barChartDescriptionTable = TestHelper.createDataFrame(
columns = ['BAR_CHART_DESCRIPTION'],
data = [
[
{
'countries': ['Germany', 'Hungary'],
'Adverse Reaction Reports guessed': [10, 20],
'Adverse Reaction Reports known': [20, 30],
'Jensen-Shannon distance': 0.4711
}
]
],
index = pd.Index(
[
'!D0181'
],
name = 'VAX_LOT'))
columns=['BAR_CHART_DESCRIPTION'],
data=[
[
{
'countries': ['Germany', 'Hungary'],
'Adverse Reaction Reports guessed': [10, 20],
'Adverse Reaction Reports known': [20, 30],
'Jensen-Shannon distance': 0.4711
}
]
],
index=pd.Index(
[
'!D0181'
],
name='VAX_LOT'))
# When
barChartDescriptionTableResult = BarChartDescriptionTables.filterHasMinSizeOfGuessedHistogram(barChartDescriptionTable, 31)
barChartDescriptionTableResult = BarChartDescriptionTables.filterHasMinSizeOfGuessedHistogram(
barChartDescriptionTable, 31)
# Then
assert_frame_equal(
barChartDescriptionTableResult,
TestHelper.createDataFrame(
columns = ['BAR_CHART_DESCRIPTION'],
data = [],
index = pd.Index(
columns=['BAR_CHART_DESCRIPTION'],
data=[],
index=pd.Index(
[],
name = 'VAX_LOT')),
check_dtype = True)
name='VAX_LOT')),
check_dtype=True)
def test_filterHasCountryWithGuessedGreaterThanKnown(self):
# Given
guessed = 25
known = 20
barChartDescriptionTable = TestHelper.createDataFrame(
columns=['BAR_CHART_DESCRIPTION'],
data=[
[
{
'countries': ['Germany', 'Hungary'],
'Adverse Reaction Reports guessed': [guessed, 20],
'Adverse Reaction Reports known': [known, 30],
'Jensen-Shannon distance': 0.4711
}
],
[
{
'countries': ['Germany', 'America'],
'Adverse Reaction Reports guessed': [25, 20],
'Adverse Reaction Reports known': [250, 200],
'Jensen-Shannon distance': 0.815
}
]],
index=pd.Index(
[
'!D0181',
'some batch code'
],
name='VAX_LOT'))
# When
barChartDescriptionTableResult = BarChartDescriptionTables.filterHasCountryWithGuessedGreaterThanKnown(
barChartDescriptionTable)
# Then
assert_frame_equal(
barChartDescriptionTableResult,
TestHelper.createDataFrame(
columns=['BAR_CHART_DESCRIPTION'],
data=[
[
{
'countries': ['Germany', 'Hungary'],
'Adverse Reaction Reports guessed': [guessed, 20],
'Adverse Reaction Reports known': [known, 30],
'Jensen-Shannon distance': 0.4711
}
]
],
index=pd.Index(
[
'!D0181'
],
name='VAX_LOT')),
check_dtype=True)