master 10.04

This commit is contained in:
Irina Rueegg 2026-04-10 15:30:28 +02:00
parent f9e7225866
commit b8286f0c1b
11 changed files with 193 additions and 0 deletions

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@ -3,3 +3,4 @@ black == 26.1.0
pytest == 9.0.2
pre-commit == 4.5.1
pandas

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# Task: Schreibt für die folgende Aufgabe einige Unit-Test. Nutzt dazu für den Happy-Path einen parametrisierten Test für
# einige valide Inputs und Outputs
def calculate_bmi(weight_kg: float, height_m: float) -> float:
"""
Berechnet den Body Mass Index (BMI).
BMI = Gewicht (kg) / Grösse (m)^2
"""
if weight_kg <= 0 or height_m <= 0:
raise ValueError("Gewicht und Grösse müssen positiv sein.")
return weight_kg / (height_m**2)
if __name__ == "__main__":
print(calculate_bmi(weight_kg=72, height_m=1.84))

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# TASK: Schreibe sinnvolle Tests für die folgende Funktion
# Schreibe Tests für die korrekte Struktur des Outputs der Funktion
# Teste, ob bei Übergabe von 'falschem' Parameter data eine Exception geworfen wird
# https://docs.python.org/3/library/exceptions.html
# Passing arguments of the wrong type (e.g. passing a list when an int is expected) should result in a TypeError,
# but passing arguments with the wrong value (e.g. a number outside expected boundaries) should result in a ValueError.
def double_integers(data: list[int]) -> list[int]:
"""Doubles a list of given integers
:param data: list of integers
:return: list of doubled integers
"""
if not isinstance(data, list):
raise TypeError("data must be a list")
if not all([isinstance(i, int) for i in data]):
raise TypeError("data may contain only integers")
return [i * 2 for i in data]
if __name__ == "__main__":
data = [1, 2, 3]
result = double_integers(data)
print(result)

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# https://www.codewars.com/kata/53dbd5315a3c69eed20002dd
# level: 7 kyu
# In this kata you will create a function that takes a list of non-negative integers and strings and returns a new
# list with the strings filtered out.
#
# Example
# filter_list([1,2,'a','b']) == [1,2]
# filter_list([1,'a','b',0,15]) == [1,0,15]
# filter_list([1,2,'aasf','1','123',123]) == [1,2,123]
def filter_list(list):
return [i for i in list if isinstance(i, int)]

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# https://www.codewars.com/kata/5ea2baed9345eb001e8ce394
# 7 kyu
# Input parameters
# dataframe: pandas.DataFrame object
# col: target column
# func: filter function
# Task
# Your function must return a new pandas.DataFrame object with the same columns as the original input. However,
# include only the rows whose cell values in the designated column evaluate to False by func.
#
# Input DataFrame will never be empty. The target column will always be one of the dataframe columns. Filter function
# will be a valid one. Index value must remain the same.
# REMARK: leichte Modifikation -> es wird ausgegeben, was in der Funktion definiert wurde (True) und nicht umgekehrt.
import pandas as pd
def filter_dataframe(df, col, func):
if col not in df.columns:
raise ValueError(f"Column '{col}' is not present in the DataFrame.")
mask = df[col].apply(func)
return df[mask]
if __name__ == "__main__":
df = pd.DataFrame(
{
"A": [1, 2, 3, 4, 5],
}
)
print(filter_dataframe(df, "A", lambda x: x >= 4))

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# https://www.codewars.com/kata/54ff3102c1bad923760001f3
# level: 7 kyu
# Return the number (count) of vowels in the given string.
# We will consider a, e, i, o, u as vowels for this Kata (but not y).
# The input string will only consist of lower case letters and/or spaces.
def get_count(inputStr):
num_vowels = 0
for char in inputStr:
if char in "aeiouAEIOU":
num_vowels = num_vowels + 1
return num_vowels
if __name__ == "__main__":
print(get_count("Hello World"))

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@ -1,4 +1,9 @@
def discount_price(price: float, percent: float) -> float:
if percent < 0:
raise ValueError("Discount percent cannot be negative")
if percent >= 100:
raise ValueError("Percent must be between 0% and 100%")
return price - price * percent / 100

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@ -4,3 +4,11 @@ from src.u6_tests.pricing import discount_price
def test_discount_price_reduces_price():
result = discount_price(100.0, 20.0)
assert result == 80.0
def test_discount_price_negative_discount():
try:
discount_price(100.0, -20.0)
assert False, "Expected ValueError"
except ValueError as e:
assert str(e) == "Discount percent cannot be negative"

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from src.u6_tests.U6_Freitag_testing.catching_exeptions import double_integers
import pytest
def test_double_integers_with_invalid_input():
with pytest.raises(TypeError):
double_integers("not a list")
with pytest.raises(TypeError):
double_integers([1, 2, "not an int"])
@pytest.mark.parametrize(
"input_data, expected_output",
[([1, 2, 3], [2, 4, 6]), ([0, -1, -2], [0, -2, -4]), ([], [])],
)
def test_double_integers(input_data, expected_output):
assert double_integers(input_data) == expected_output

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import pytest
from src.u6_tests.U6_Freitag_testing.kata_list_filtering import filter_list
def test_filter_list_with_mixed_types():
result = filter_list([1, 2, "a", "b"])
assert result == [1, 2]
def test_filter_list_with_only_strings():
result = filter_list(["a", "b", "c"])
assert result == []
def test_filter_list_with_only_integers():
result = filter_list([1, 2, 3])
assert result == [1, 2, 3]
def test_filter_list_output_is_list():
result = filter_list([1, "a", 2])
assert isinstance(result, list)
def test_filter_list_assert_length():
l1 = [1, "a", 2, "b", 3]
l2 = [1, 2, 3]
l3 = [1 / 2, "a", 2.5, "b", 3]
result1 = filter_list(l1)
result2 = filter_list(l2)
result3 = filter_list(l3)
assert len(result1) == 3
assert len(result2) == 3
assert len(result3) == 1
@pytest.mark.parametrize(
"input_list, expected_length",
[([1, "a", 2, "b", 3], 3), ([1, 2, 3], 3), ([1 / 2, "a", 2.5, "b", 3], 1)],
)
def test_filter_list_parametrized(input_list, expected_length):
result = filter_list(input_list)
assert len(result) == expected_length