tests.test_tsam_processing

Complexity

Total Complexity

3

Size/Duplication

Total Lines	32
Duplicated Lines	0 %

Importance

Changes

0

1 Function

Rating	Name	Duplication	Size	Complexity
A	test_disaggregate_timeindex()	0	24	3

# -*- coding: utf-8 -*-

import pandas as pd

from oemof.solph import processing


def test_disaggregate_timeindex():
    ti_1 = pd.date_range("2020-01-01", periods=10, freq="h")
    ti_2 = pd.date_range("2030-01-01", periods=20, freq="h")
    ti_3 = pd.date_range("2040-01-01", periods=40, freq="h")
    ti = ti_1.union(ti_2).union(ti_3)

    periods = [ti_1, ti_2, ti_3]
    tsa_parameters = [
        {"timesteps_per_period": 5, "order": [1, 0]},
        {"timesteps_per_period": 5, "order": [1, 0, 0, 1]},
        {"timesteps_per_period": 10, "order": [1, 0, 0, 1]},
    ]

    for p, period_data in enumerate(tsa_parameters):
        if p == 0:
            result_index = processing._disaggregate_tsa_timeindex(
                periods[p], period_data
            )
        else:
            result_index = result_index.union(

The variable result_index does not seem to be defined in case the for loop on line 21 is not entered. Are you sure this can never be the case?

                processing._disaggregate_tsa_timeindex(periods[p], period_data)
            )

    assert all(result_index == ti)