Alexander Hess
cb7611d587
- the method calculates the number of daily `Order`s in a `Pixel` withing the `train_horizon` preceding the `predict_day`
37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
"""Tests for the `OrderHistory.avg_daily_demand()` method."""
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from tests import config as test_config
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def test_avg_daily_demand_with_constant_demand(
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order_history, good_pixel_id, predict_at,
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):
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"""The average daily demand must be the number of time steps ...
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... if the demand is `1` at each time step.
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Note: The `order_history` fixture assumes `12` time steps per day as it
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uses `LONG_TIME_STEP=60` as the length of a time step.
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"""
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result = order_history.avg_daily_demand(
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pixel_id=good_pixel_id,
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predict_day=predict_at.date(),
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train_horizon=test_config.LONG_TRAIN_HORIZON,
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)
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assert result == 12.0
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def test_avg_daily_demand_with_no_demand(
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order_history, good_pixel_id, predict_at,
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):
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"""Without demand, the average daily demand must be `0.0`."""
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order_history._data.loc[:, 'n_orders'] = 0
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result = order_history.avg_daily_demand(
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pixel_id=good_pixel_id,
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predict_day=predict_at.date(),
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train_horizon=test_config.LONG_TRAIN_HORIZON,
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)
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assert result == 0.0
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