Hello, TileDB users and team. I hope someone can help me solve a problem I am having when trying write to a sparse array that has a single var attr (np.float64). It’s likely I have overlooked something simple – so I appreciate an outside look.

I am trying to write short segments of waveform of size (480,) – also type np.float64. Each segment is timestamped at 2s interval.

I am running into Type Error “Failed to convert buffer for attribute: ‘value’” when attempting to write.

Running in Conda env with:

Python 3.8.6

tiledb 2.1.6

tiledb-py 0.7.6 — from conda-forge

numpy 1.19.5

pandas 1.2.1

```
import numpy as np
import pandas as pd
import tiledb
dim_start = pd.to_datetime("2020-01-01").to_numpy()
dim_end = pd.to_datetime("2020-01-02").to_numpy()
schema = tiledb.ArraySchema(
domain=tiledb.Domain(
tiledb.Dim(
name="idx", domain=(dim_start, dim_end), tile=1_000_000, dtype="datetime64[ns]"
)
),
attrs=[tiledb.Attr(name="value", var=True, dtype=np.float64)],
sparse=True,
capacity=10_000,
)
schema.check()
tiledb.SparseArray.create("sparse_test", schema)
# CREATE AND WRITE SOME DATA
# timestamps (idx)
times = np.arange(dim_start, dim_end, np.timedelta64(2, "s"))
# fake signal
random_signal = np.random.random_sample((times.shape[0], 480))
signal_container = np.empty((times.shape[0],), dtype="O")
for idx, value in enumerate(random_signal):
signal_container[idx] = value.astype(np.float64)
with tiledb.SparseArray("sparse_test", "w") as A:
A[times] = {"value": signal_container}
```