chore(deps-dev): bump the development-dependencies group with 6 updates (#2883)

* chore(deps-dev): bump the development-dependencies group with 6 updates

Bumps the development-dependencies group with 6 updates:

| Package | From | To |
| --- | --- | --- |
| [boto3-stubs](https://github.com/youtype/mypy_boto3_builder) | `1.34.131` | `1.34.136` |
| [mypy](https://github.com/python/mypy) | `1.10.0` | `1.10.1` |
| [ruff](https://github.com/astral-sh/ruff) | `0.4.10` | `0.5.0` |
| [moto](https://github.com/getmoto/moto) | `5.0.9` | `5.0.10` |
| [bump-my-version](https://github.com/callowayproject/bump-my-version) | `0.23.0` | `0.24.1` |
| [jupyterlab](https://github.com/jupyterlab/jupyterlab) | `4.2.2` | `4.2.3` |


Updates `boto3-stubs` from 1.34.131 to 1.34.136
- [Release notes](https://github.com/youtype/mypy_boto3_builder/releases)
- [Commits](https://github.com/youtype/mypy_boto3_builder/commits)

Updates `mypy` from 1.10.0 to 1.10.1
- [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md)
- [Commits](python/mypy@v1.10.0...v1.10.1)

Updates `ruff` from 0.4.10 to 0.5.0
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@v0.4.10...0.5.0)

Updates `moto` from 5.0.9 to 5.0.10
- [Release notes](https://github.com/getmoto/moto/releases)
- [Changelog](https://github.com/getmoto/moto/blob/master/CHANGELOG.md)
- [Commits](getmoto/moto@5.0.9...5.0.10)

Updates `bump-my-version` from 0.23.0 to 0.24.1
- [Release notes](https://github.com/callowayproject/bump-my-version/releases)
- [Changelog](https://github.com/callowayproject/bump-my-version/blob/master/CHANGELOG.md)
- [Commits](callowayproject/bump-my-version@0.23.0...0.24.1)

Updates `jupyterlab` from 4.2.2 to 4.2.3
- [Release notes](https://github.com/jupyterlab/jupyterlab/releases)
- [Changelog](https://github.com/jupyterlab/jupyterlab/blob/@jupyterlab/[email protected]/CHANGELOG.md)
- [Commits](https://github.com/jupyterlab/jupyterlab/compare/@jupyterlab/[email protected]...@jupyterlab/[email protected])

---
updated-dependencies:
- dependency-name: boto3-stubs
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: development-dependencies
- dependency-name: mypy
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: development-dependencies
- dependency-name: ruff
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: development-dependencies
- dependency-name: moto
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: development-dependencies
- dependency-name: bump-my-version
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: development-dependencies
- dependency-name: jupyterlab
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: development-dependencies
...

Signed-off-by: dependabot[bot] <[email protected]>

Author: dependabot[bot]

awswrangler/neptune/_neptune.py

@@ -635,10 +635,10 @@ def flatten_nested_df(
     df = df.reset_index()
 
     # search for list and map
-    s = (df.applymap(type) == list).all()
+    s = (df.applymap(type) == list).all()  # noqa: E721
     list_columns = s[s].index.tolist()
 
-    s = (df.applymap(type) == dict).all()
+    s = (df.applymap(type) == dict).all()  # noqa: E721
     dict_columns = s[s].index.tolist()
 
     if len(list_columns) > 0 or len(dict_columns) > 0:
@@ -660,10 +660,10 @@ def flatten_nested_df(
             new_columns.append(col)
 
         # check if there are still dict o list fields to flatten
-        s = (df[new_columns].applymap(type) == list).all()
+        s = (df[new_columns].applymap(type) == list).all()  # noqa: E721
         list_columns = s[s].index.tolist()
 
-        s = (df[new_columns].applymap(type) == dict).all()
+        s = (df[new_columns].applymap(type) == dict).all()  # noqa: E721
         dict_columns = s[s].index.tolist()
         if recursive and (len(list_columns) > 0 or len(dict_columns) > 0):
             df = flatten_nested_df(df, include_prefix=include_prefix, separator=separator, recursive=recursive)