Unpin universal-pathlib (#595)

* Unpin universal-pathlib

* Set minimum version

Author: camposandro

pyproject.toml

@@ -36,7 +36,7 @@ dependencies = [
     "pydantic>=2.0",
     "scipy>=1.7.2",
     "typing-extensions>=4.3.0",
-    "universal-pathlib>=0.2.2,<0.3.0",
+    "universal-pathlib>=0.3.1",
 ]
 
 [project.urls]

src/hats/catalog/index/index_catalog.py

@@ -29,7 +29,7 @@ def loc_partitions(self, ids) -> list[HealpixPixel]:
             that may contain rows for the id values
         """
         metadata_file = paths.get_parquet_metadata_pointer(self.catalog_base_dir)
-        dataset = pds.parquet_dataset(metadata_file, filesystem=metadata_file.fs)
+        dataset = pds.parquet_dataset(metadata_file.path, filesystem=metadata_file.fs)
 
         # There's a lot happening in a few pyarrow dataset methods:
         # We create a simple pyarrow expression that roughly corresponds to a SQL statement like

src/hats/io/file_io/file_io.py

@@ -384,7 +384,7 @@ def read_parquet_file_to_pandas(file_pointer: str | Path | UPath, **kwargs) -> n
     # If we are trying to read a remote directory, we need to send the explicit list of files instead.
     # We don't want to get the list unnecessarily because it can be expensive.
     if file_pointer.protocol not in ("", "file") and file_pointer.is_dir():  # pragma: no cover
-        file_pointers = [f for f in file_pointer.iterdir() if f.is_file()]
+        file_pointers = [f.path for f in file_pointer.iterdir() if f.is_file()]
         return npd.read_parquet(
             file_pointers,
             filesystem=file_pointer.fs,

src/hats/io/parquet_metadata.py

@@ -147,7 +147,7 @@ def read_row_group_fragments(metadata_file: str):
     if not file_io.is_regular_file(metadata_file):
         metadata_file = paths.get_parquet_metadata_pointer(metadata_file)
 
-    dataset = pds.parquet_dataset(metadata_file, filesystem=metadata_file.fs)
+    dataset = pds.parquet_dataset(metadata_file.path, filesystem=metadata_file.fs)
 
     for frag in dataset.get_fragments():
         yield from frag.row_groups