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from __future__ import annotations
import itertools
import pytest
from prompt_toolkit.utils import take_using_weights
def test_using_weights():
def take(generator, count):
return list(itertools.islice(generator, 0, count))
# Check distribution.
data = take(take_using_weights(["A", "B", "C"], [5, 10, 20]), 35)
assert data.count("A") == 5
assert data.count("B") == 10
assert data.count("C") == 20
assert data == [
"A",
"B",
"C",
"C",
"B",
"C",
"C",
"A",
"B",
"C",
"C",
"B",
"C",
"C",
"A",
"B",
"C",
"C",
"B",
"C",
"C",
"A",
"B",
"C",
"C",
"B",
"C",
"C",
"A",
"B",
"C",
"C",
"B",
"C",
"C",
]
# Another order.
data = take(take_using_weights(["A", "B", "C"], [20, 10, 5]), 35)
assert data.count("A") == 20
assert data.count("B") == 10
assert data.count("C") == 5
# Bigger numbers.
data = take(take_using_weights(["A", "B", "C"], [20, 10, 5]), 70)
assert data.count("A") == 40
assert data.count("B") == 20
assert data.count("C") == 10
# Negative numbers.
data = take(take_using_weights(["A", "B", "C"], [-20, 10, 0]), 70)
assert data.count("A") == 0
assert data.count("B") == 70
assert data.count("C") == 0
# All zero-weight items.
with pytest.raises(ValueError):
take(take_using_weights(["A", "B", "C"], [0, 0, 0]), 70)
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