chore(python): Add various unit tests

py-polars/polars/config.py

@@ -10,7 +10,7 @@
 
 
 # dummy func required (so docs build)
-def _get_float_fmt() -> str:
+def _get_float_fmt() -> str:  # pragma: no cover
     return "n/a"
 
 

py-polars/polars/utils/show_versions.py

@@ -87,6 +87,6 @@ def _get_dependency_version(dep_name: str) -> str:
     if hasattr(module, "__version__"):
         module_version = module.__version__
     else:
-        module_version = importlib.metadata.version(dep_name)
+        module_version = importlib.metadata.version(dep_name)  # pragma: no cover
 
     return module_version

py-polars/polars/utils/various.py

@@ -19,7 +19,6 @@
     Int64,
     Time,
     Utf8,
-    is_polars_dtype,
     unpack_dtypes,
 )
 from polars.dependencies import _PYARROW_AVAILABLE
@@ -72,11 +71,6 @@ def is_bool_sequence(val: object) -> TypeGuard[Sequence[bool]]:
     return isinstance(val, Sequence) and _is_iterable_of(val, bool)
 
 
-def is_dtype_sequence(val: object) -> TypeGuard[Sequence[PolarsDataType]]:
-    """Check whether the given object is a sequence of polars DataTypes."""
-    return isinstance(val, Sequence) and all(is_polars_dtype(x) for x in val)
-
-
 def is_int_sequence(val: object) -> TypeGuard[Sequence[int]]:
     """Check whether the given sequence is a sequence of integers."""
     return isinstance(val, Sequence) and _is_iterable_of(val, int)

py-polars/tests/unit/namespaces/test_array.py

@@ -1,6 +1,7 @@
 import numpy as np
 
 import polars as pl
+from polars.testing import assert_frame_equal
 
 
 def test_arr_min_max() -> None:
@@ -14,6 +15,16 @@ def test_arr_sum() -> None:
     assert s.arr.sum().to_list() == [3, 7]
 
 
+def test_arr_unique() -> None:
+    df = pl.DataFrame(
+        {"a": pl.Series("a", [[1, 1], [4, 3]], dtype=pl.Array(width=2, inner=pl.Int64))}
+    )
+
+    out = df.select(pl.col("a").arr.unique(maintain_order=True))
+    expected = pl.DataFrame({"a": [[1], [4, 3]]})
+    assert_frame_equal(out, expected)
+
+
 def test_array_to_numpy() -> None:
     s = pl.Series([[1, 2], [3, 4], [5, 6]], dtype=pl.Array(width=2, inner=pl.Int64))
     assert (s.to_numpy() == np.array([[1, 2], [3, 4], [5, 6]])).all()

py-polars/tests/unit/namespaces/test_struct.py

@@ -15,6 +15,8 @@ def test_struct_various() -> None:
     assert s[1] == {"int": 2, "str": "b", "bool": None, "list": [3]}
     assert s.struct.field("list").to_list() == [[1, 2], [3]]
     assert s.struct.field("int").to_list() == [1, 2]
+    assert s.struct["list"].to_list() == [[1, 2], [3]]
+    assert s.struct["int"].to_list() == [1, 2]
 
     assert_frame_equal(df.to_struct("my_struct").struct.unnest(), df)
     assert s.struct._ipython_key_completions_() == s.struct.fields

py-polars/tests/unit/test_api.py

@@ -1,5 +1,7 @@
 from __future__ import annotations
 
+import pytest
+
 import polars as pl
 from polars.testing import assert_frame_equal
 
@@ -137,3 +139,26 @@ def test_class_namespaces_are_registered() -> None:
                         assert (
                             ns in namespaces
                         ), f"{ns!r} should be registered in {pcls.__name__}._accessors"
+
+
+def test_namespace_cannot_override_builtin() -> None:
+    with pytest.raises(AttributeError):
+
+        @pl.api.register_dataframe_namespace("dt")
+        class CustomDt:
+            def __init__(self, df: pl.DataFrame):
+                self._df = df
+
+
+def test_namespace_warning_on_override() -> None:
+    @pl.api.register_dataframe_namespace("math")
+    class CustomMath:
+        def __init__(self, df: pl.DataFrame):
+            self._df = df
+
+    with pytest.raises(UserWarning):
+
+        @pl.api.register_dataframe_namespace("math")
+        class CustomMath2:
+            def __init__(self, df: pl.DataFrame):
+                self._df = df

py-polars/tests/unit/test_cfg.py

@@ -513,7 +513,7 @@ def test_string_cache() -> None:
 
 @pytest.mark.write_disk()
 def test_config_load_save(tmp_path: Path) -> None:
-    for file in (None, tmp_path / "polars.config"):
+    for file in (None, tmp_path / "polars.config", str(tmp_path / "polars.config")):
         # set some config options...
         pl.Config.set_tbl_cols(12)
         pl.Config.set_verbose(True)
@@ -577,3 +577,44 @@ def test_config_scope() -> None:
 
     # expect scope-exit to restore original state
     assert pl.Config.state() == initial_state
+
+
+def test_config_raise_error_if_not_exist() -> None:
+    with pytest.raises(AttributeError), pl.Config(i_do_not_exist=True):
+        pass
+
+
+def test_config_state_env_only() -> None:
+    pl.Config.set_verbose(False)
+    pl.Config.set_fmt_float("full")
+
+    state_all = pl.Config.state(env_only=False)
+    state_env_only = pl.Config.state(env_only=True)
+    assert len(state_env_only) < len(state_all)
+    assert "set_fmt_float" in state_all
+    assert "set_fmt_float" not in state_env_only
+
+
+def test_activate_decimals() -> None:
+    with pl.Config() as cfg:
+        cfg.activate_decimals(True)
+        assert os.environ.get("POLARS_ACTIVATE_DECIMAL") == "1"
+        cfg.activate_decimals(False)
+        assert "POLARS_ACTIVATE_DECIMAL" not in os.environ
+
+
+def test_set_streaming_chunk_size() -> None:
+    with pl.Config() as cfg:
+        cfg.set_streaming_chunk_size(8)
+        assert os.environ.get("POLARS_STREAMING_CHUNK_SIZE") == "8"
+
+    with pytest.raises(ValueError), pl.Config() as cfg:
+        cfg.set_streaming_chunk_size(0)
+
+
+def test_set_fmt_str_lengths_invalid_length() -> None:
+    with pl.Config() as cfg:
+        with pytest.raises(ValueError):
+            cfg.set_fmt_str_lengths(0)
+        with pytest.raises(ValueError):
+            cfg.set_fmt_str_lengths(-2)

py-polars/tests/unit/test_show_graph.py

@@ -0,0 +1,15 @@
+import polars as pl
+
+
+def test_show_graph() -> None:
+    # only test raw output, otherwise we need graphviz and matplotlib
+    ldf = pl.LazyFrame(
+        {
+            "a": ["a", "b", "a", "b", "b", "c"],
+            "b": [1, 2, 3, 4, 5, 6],
+            "c": [6, 5, 4, 3, 2, 1],
+        }
+    )
+    query = ldf.groupby("a", maintain_order=True).agg(pl.all().sum()).sort("a")
+    out = query.show_graph(raw_output=True)
+    assert isinstance(out, str)

py-polars/tests/unit/utils/test_parse_expr_input.py

@@ -92,3 +92,11 @@ def test_parse_as_expression_structify() -> None:
     result = wrap_expr(parse_as_expression(pl.col("a", "b"), structify=True))
     expected = pl.struct("a", "b")
     assert_expr_equal(result, expected)
+
+
+def test_parse_as_expression_structify_multiple_outputs() -> None:
+    # note: this only works because assert_expr_equal evaluates on a dataframe with
+    # columns "a" and "b"
+    result = wrap_expr(parse_as_expression(pl.col("*"), structify=True))
+    expected = pl.struct("a", "b")
+    assert_expr_equal(result, expected)

py-polars/tests/unit/utils/test_utils.py

@@ -16,7 +16,8 @@
     _timedelta_to_pl_timedelta,
 )
 from polars.utils.decorators import deprecate_nonkeyword_arguments, redirect
-from polars.utils.various import parse_version
+from polars.utils.meta import get_idx_type
+from polars.utils.various import _in_notebook, parse_version
 
 if TYPE_CHECKING:
     from polars.type_aliases import TimeUnit
@@ -158,3 +159,13 @@ def bar(self, upper: bool = False) -> str:
                 return "BAZ" if upper else "baz"
 
         assert DemoClass2().foo() == "BAZ"  # type: ignore[attr-defined]
+
+
+def test_get_idx_type_deprecation() -> None:
+    with pytest.deprecated_call():
+        get_idx_type()
+
+
+def test_in_notebook() -> None:
+    # private function, but easier to test this separately and mock it in the callers
+    assert not _in_notebook()