Add support for NumPy arrays to the arrow serializer for string datatypes (#7689)

### What

This adds support for Numpy array for batches of `Utf8` datatypes. For
example, this facilitates logging a `TextBatch` when using Pandas
dataframe:

```python
rr.send_columns(
    "/entity/path",
    times=[rr.TimeSequenceColumn("frame_nr", df["frame_nr"])],
    components=[
        rr.components.TextBatch(np.where(df["mouth_open"], "OPEN", "CLOSE")),
    ],
)
```

### Checklist
* [x] I have read and agree to [Contributor
Guide](https://github.com/rerun-io/rerun/blob/main/CONTRIBUTING.md) and
the [Code of
Conduct](https://github.com/rerun-io/rerun/blob/main/CODE_OF_CONDUCT.md)
* [x] I've included a screenshot or gif (if applicable)
* [x] I have tested the web demo (if applicable):
* Using examples from latest `main` build:
[rerun.io/viewer](https://rerun.io/viewer/pr/7689?manifest_url=https://app.rerun.io/version/main/examples_manifest.json)
* Using full set of examples from `nightly` build:
[rerun.io/viewer](https://rerun.io/viewer/pr/7689?manifest_url=https://app.rerun.io/version/nightly/examples_manifest.json)
* [x] The PR title and labels are set such as to maximize their
usefulness for the next release's CHANGELOG
* [x] If applicable, add a new check to the [release
checklist](https://github.com/rerun-io/rerun/blob/main/tests/python/release_checklist)!
* [x] If have noted any breaking changes to the log API in
`CHANGELOG.md` and the migration guide

- [PR Build Summary](https://build.rerun.io/pr/7689)
- [Recent benchmark results](https://build.rerun.io/graphs/crates.html)
- [Wasm size tracking](https://build.rerun.io/graphs/sizes.html)

To run all checks from `main`, comment on the PR with `@rerun-bot
full-check`.

---------

Co-authored-by: Clement Rey <cr.rey.clement@gmail.com>

Author: abey79

crates/build/re_types_builder/src/codegen/python/mod.rs

@@ -1995,9 +1995,11 @@ fn quote_arrow_serialization(
                     return Ok(unindent(
                         r##"
                             if isinstance(data, str):
-                                array = [data]
+                                array: Union[list[str], npt.ArrayLike] = [data]
                             elif isinstance(data, Sequence):
                                 array = [str(datum) for datum in data]
+                            elif isinstance(data, np.ndarray):
+                                array = data
                             else:
                                 array = [str(data)]
 

crates/store/re_types/definitions/rerun/datatypes/utf8.fbs

@@ -8,7 +8,7 @@ namespace rerun.datatypes;
 table Utf8 (
   "attr.arrow.transparent",
   "attr.python.aliases": "str",
-  "attr.python.array_aliases": "str, Sequence[str]",
+  "attr.python.array_aliases": "str, Sequence[str], npt.ArrayLike",
   "attr.rust.derive": "Default, PartialEq, Eq, PartialOrd, Ord, Hash",
   "attr.rust.override_crate": "re_types_core",
   "attr.rust.repr": "transparent",

rerun_py/rerun_sdk/rerun/datatypes/entity_path.py

@@ -0,0 +1,28 @@
+from __future__ import annotations
+
+import numpy as np
+from rerun import datatypes
+
+
+def test_utf8_batch_single() -> None:
+    single_string = "hello"
+    list_of_one_string = ["hello"]
+    array_of_one_string = np.array(["hello"])
+
+    assert (
+        datatypes.Utf8Batch(single_string).as_arrow_array() == datatypes.Utf8Batch(list_of_one_string).as_arrow_array()
+    )
+
+    assert (
+        datatypes.Utf8Batch(single_string).as_arrow_array() == datatypes.Utf8Batch(array_of_one_string).as_arrow_array()
+    )
+
+
+def test_utf8_batch_many() -> None:
+    # different string length to be sure
+    list_of_strings = ["hell", "worlds"]
+    array_of_strings = np.array(["hell", "worlds"])
+
+    assert (
+        datatypes.Utf8Batch(list_of_strings).as_arrow_array() == datatypes.Utf8Batch(array_of_strings).as_arrow_array()
+    )