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test.py
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import unittest
import pandas as pd
import numpy as np
import datetime
from helpers import get_room_number_optimized
from pandas._testing import assert_frame_equal
class Test_get_room_number_optimized(unittest.TestCase):
def test_standard(self):
"""
Values used during development
"""
r1 = pd.DataFrame(
{
"start": [
datetime.datetime(2020, 8, 10),
datetime.datetime(2020, 9, 22),
],
"end": [datetime.datetime(2020, 9, 3), datetime.datetime(2022, 12, 31)],
}
)
r2 = pd.DataFrame(
{
"start": [
datetime.datetime(2020, 7, 12),
datetime.datetime(2020, 8, 2),
datetime.datetime(2020, 10, 3),
],
"end": [
datetime.datetime(2020, 7, 18),
datetime.datetime(2020, 8, 30),
datetime.datetime(2022, 12, 31),
],
}
)
r3 = pd.DataFrame(
{
"start": [datetime.datetime(2020, 8, 15)],
"end": [datetime.datetime(2022, 12, 31)],
}
)
r1 = (
r1.set_index(r1["start"]).rename(columns={"end": "1"}).drop("start", axis=1)
)
r2 = (
r2.set_index(r2["start"]).rename(columns={"end": "2"}).drop("start", axis=1)
)
r3 = (
r3.set_index(r3["start"]).rename(columns={"end": "3"}).drop("start", axis=1)
)
data = pd.concat([r1, r2, r3], axis=1, sort=False)
start = datetime.datetime(2020, 8, 22)
end = datetime.datetime(2020, 8, 28)
result = get_room_number_optimized(data, start, end)
answer = pd.DataFrame({"room": ["2", "1", "3"], "order": [2, 6, 7]})
# Ignore index values
# np.array_equal(result.values,answer.values)
assert_frame_equal(result.reset_index(drop=True), answer.reset_index(drop=True))
def test_all_same_value(self):
"""
Allow multiple same value
"""
r1 = pd.DataFrame(
{
"start": [
datetime.datetime(2020, 8, 7),
datetime.datetime(2020, 8, 20),
],
"end": [
datetime.datetime(2020, 8, 12),
datetime.datetime(2022, 12, 31),
],
}
)
r2 = pd.DataFrame(
{
"start": [
datetime.datetime(2020, 8, 7),
datetime.datetime(2020, 8, 20),
],
"end": [
datetime.datetime(2020, 8, 12),
datetime.datetime(2022, 12, 31),
],
}
)
r3 = pd.DataFrame(
{
"start": [
datetime.datetime(2020, 8, 7),
datetime.datetime(2020, 8, 20),
],
"end": [
datetime.datetime(2020, 8, 12),
datetime.datetime(2022, 12, 31),
],
}
)
r1 = (
r1.set_index(r1["start"]).rename(columns={"end": "1"}).drop("start", axis=1)
)
r2 = (
r2.set_index(r2["start"]).rename(columns={"end": "2"}).drop("start", axis=1)
)
r3 = (
r3.set_index(r3["start"]).rename(columns={"end": "3"}).drop("start", axis=1)
)
data = pd.concat([r1, r2, r3], axis=1, sort=False)
start = datetime.datetime(2020, 8, 22)
end = datetime.datetime(2020, 8, 28)
result = get_room_number_optimized(data, start, end)
answer = pd.DataFrame({"room": ["1", "2", "3"], "order": [2, 2, 2]})
assert_frame_equal(result.reset_index(drop=True), answer.reset_index(drop=True))
def test_one_value(self):
"""
One unique value each, 2/3 rooms returns
"""
r1 = pd.DataFrame(
{
"start": [datetime.datetime(2020, 8, 7)],
"end": [datetime.datetime(2022, 12, 31)],
}
)
r2 = pd.DataFrame(
{
"start": [datetime.datetime(2020, 10, 9)],
"end": [datetime.datetime(2022, 12, 31)],
}
)
r3 = pd.DataFrame(
{
"start": [datetime.datetime(2020, 6, 5)],
"end": [datetime.datetime(2022, 12, 31)],
}
)
r1 = (
r1.set_index(r1["start"]).rename(columns={"end": "1"}).drop("start", axis=1)
)
r2 = (
r2.set_index(r2["start"]).rename(columns={"end": "2"}).drop("start", axis=1)
)
r3 = (
r3.set_index(r3["start"]).rename(columns={"end": "3"}).drop("start", axis=1)
)
data = pd.concat([r1, r2, r3], axis=1, sort=False)
start = datetime.datetime(2020, 8, 22)
end = datetime.datetime(2020, 8, 28)
result = get_room_number_optimized(data, start, end)
answer = pd.DataFrame({"room": ["1", "3"], "order": [15, 78]})
assert_frame_equal(result.reset_index(drop=True), answer.reset_index(drop=True))
def test_no_rooms(self):
"""
No rooms found!
"""
r1 = pd.DataFrame(
{
"start": [
datetime.datetime(2020, 8, 7),
datetime.datetime(2020, 8, 20),
],
"end": [
datetime.datetime(2020, 8, 12),
datetime.datetime(2022, 12, 31),
],
}
)
r2 = pd.DataFrame(
{
"start": [
datetime.datetime(2020, 8, 7),
datetime.datetime(2020, 8, 20),
],
"end": [
datetime.datetime(2020, 8, 12),
datetime.datetime(2022, 12, 31),
],
}
)
r3 = pd.DataFrame(
{
"start": [
datetime.datetime(2020, 8, 7),
datetime.datetime(2020, 8, 20),
],
"end": [
datetime.datetime(2020, 8, 12),
datetime.datetime(2022, 12, 31),
],
}
)
r1 = (
r1.set_index(r1["start"]).rename(columns={"end": "1"}).drop("start", axis=1)
)
r2 = (
r2.set_index(r2["start"]).rename(columns={"end": "2"}).drop("start", axis=1)
)
r3 = (
r3.set_index(r3["start"]).rename(columns={"end": "3"}).drop("start", axis=1)
)
data = pd.concat([r1, r2, r3], axis=1, sort=False)
start = datetime.datetime(2020, 8, 10)
end = datetime.datetime(2020, 8, 28)
result = get_room_number_optimized(data, start, end)
self.assertTrue(result.empty)
def test_one(self):
"""
All start values valid, only one end value valid, 1/3 rooms returns
"""
r1 = pd.DataFrame(
{
"start": [datetime.datetime(2020, 7, 7)],
"end": [datetime.datetime(2020, 7, 31)],
}
)
r2 = pd.DataFrame(
{
"start": [datetime.datetime(2020, 6, 9)],
"end": [datetime.datetime(2020, 6, 30)],
}
)
r3 = pd.DataFrame(
{
"start": [datetime.datetime(2020, 8, 5)],
"end": [datetime.datetime(2020, 8, 31)],
}
)
r1 = (
r1.set_index(r1["start"]).rename(columns={"end": "1"}).drop("start", axis=1)
)
r2 = (
r2.set_index(r2["start"]).rename(columns={"end": "2"}).drop("start", axis=1)
)
r3 = (
r3.set_index(r3["start"]).rename(columns={"end": "3"}).drop("start", axis=1)
)
data = pd.concat([r1, r2, r3], axis=1, sort=False)
start = datetime.datetime(2020, 8, 22)
end = datetime.datetime(2020, 8, 28)
result = get_room_number_optimized(data, start, end)
answer = pd.DataFrame({"room": ["3"], "order": [3]})
assert_frame_equal(result.reset_index(drop=True), answer.reset_index(drop=True))
if __name__ == "__main__":
unittest.main()