What does this results from covariates.ipynb mean?

[tybuz2021]

I run the covariates.ipynb and I could not understand what is the cov_forecast from the model.forecast_with_covariates.
It is a list of 48 array, each array has 24 forecasted values. what is the 48 array anyway? And I notice that the number could change if you change context_len and horizon_len.

`# Benchmark
batch_size = 128
context_len = 120
horizon_len = 24
input_data = get_batched_data_fn(batch_size = 128)
metrics = defaultdict(list)
import time

for i, example in enumerate(input_data()):
raw_forecast, _ = model.forecast(
inputs=example["inputs"], freq=[0] * len(example["inputs"])
)
start_time = time.time()

cov_forecast, ols_forecast = model.forecast_with_covariates(
inputs=example["inputs"],
dynamic_numerical_covariates={
"gen_forecast": example["gen_forecast"],
},
dynamic_categorical_covariates={
"week_day": example["week_day"],
},
static_numerical_covariates={},
static_categorical_covariates={
"country": example["country"]
},
freq=[0] * len(example["inputs"]),
xreg_mode="xreg + timesfm", # default
ridge=0.0,
force_on_cpu=False,
normalize_xreg_target_per_input=True, # default
)
print(
f"\rFinished batch {i} linear in {time.time() - start_time} seconds",
end="",
)
metrics["eval_mae_timesfm"].extend(
mae(raw_forecast[:, :horizon_len], example["outputs"])
)
metrics["eval_mae_xreg_timesfm"].extend(mae(cov_forecast, example["outputs"]))
metrics["eval_mae_xreg"].extend(mae(ols_forecast, example["outputs"]))
metrics["eval_mse_timesfm"].extend(
mse(raw_forecast[:, :horizon_len], example["outputs"])
)
metrics["eval_mse_xreg_timesfm"].extend(mse(cov_forecast, example["outputs"]))
metrics["eval_mse_xreg"].extend(mse(ols_forecast, example["outputs"]))

print()

for k, v in metrics.items():
print(f"{k}: {np.mean(v)}")`