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I'm new to python testing, and want to use pytest if possible to check that my function does the right thing. There's a list of inputs and expected outputs:
test_cases = [
("...Guide: From Mid $1.3ms", [(1300000)]),
("OFFERS OVER $1,100,000", [(1100000)]),
("...Around $1.35million", [(1350000)]),
("Guide above $1.2m", [(1200000)]),
("...From $2.55 Million", [(2550000)]),
("Low $2 millions", [(2000000)]),
("Mid $2M's Buyers", [(2000000)]),
("$305,000 - $349,950", [(305000), (349950)]),
("...$485,000 and $510,000", [(485000), (510000)]),
("...High $300,000's", [(300000)]),
("...000 + to $625,000 +", [(625000)]),
("$299k", [(299000)]),
("... Buyers Guide $1.29M+", [(1290000)]),
("$1m", [(1000000)]),
("$1,000,000.00", [(1000000)])
]
What is the most elegant way to test that my function returns test_cases[n][1] if test_cases[n][0] was given as an input? Can I assert this in some way while still getting meaningful results (i.e. 7 out of 10 tests finished successfully, 10 out of 10 tests finished successfully)?
454
List comprehension offers a shorter syntax when you want to create a new list based on the values of an existing list. Example: Based on a list of fruits, you want a new list, containing only the fruits with the letter "a" in the name.
The only difference between Generator Comprehension and List Comprehension is that the former uses parentheses.
The for loop is a common way to iterate through a list. List comprehension, on the other hand, is a more efficient way to iterate through a list because it requires fewer lines of code. List comprehension requires less computation power than a for loop because it takes up less space and code.
Python's list comprehension is an example of the language's support for functional programming concepts.
The parametrize decorator does this. You give it an input list, and it'll run the decorated test once for each element of the input list. Each one will be reported as an individual test.
import pytest
test_cases = [
("...Guide: From Mid $1.3ms", [(1300000)]),
("OFFERS OVER $1,100,000", [(1100000)]),
("...Around $1.35million", [(1350000)]),
("Guide above $1.2m", [(1200000)]),
("...From $2.55 Million", [(2550000)]),
("Low $2 millions", [(2000000)]),
("Mid $2M's Buyers", [(2000000)]),
("$305,000 - $349,950", [(305000), (349950)]),
("...$485,000 and $510,000", [(485000), (510000)]),
("...High $300,000's", [(300000)]),
("...000 + to $625,000 +", [(625000)]),
("$299k", [(299000)]),
("... Buyers Guide $1.29M+", [(1290000)]),
("$1m", [(1000000)]),
("$1,000,000.00", [(1000000)])
]
@pytest.mark.parametrize("in, out", test_cases)
def test(in, out):
assert f(in) == out
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