refactor(python): Reduce number of polars.internals imports

py-polars/polars/dataframe/_html.py

@@ -10,7 +10,7 @@
 if TYPE_CHECKING:
     from types import TracebackType
 
-    from polars.internals import DataFrame
+    from polars.dataframe import DataFrame
 
 
 class Tag:

py-polars/polars/sql/context.py

@@ -3,7 +3,7 @@
 import contextlib
 from typing import TYPE_CHECKING
 
-from polars import internals as pli
+from polars.lazyframe import wrap_ldf
 
 with contextlib.suppress(ImportError):  # Module not available when building docs
     from polars.polars import PySQLContext
@@ -51,7 +51,7 @@ def execute(self, query: str) -> LazyFrame:
             A SQL query
 
         """
-        return pli.wrap_ldf(self._ctxt.execute(query))
+        return wrap_ldf(self._ctxt.execute(query))
 
     def query(self, query: str) -> DataFrame:
         return self.execute(query).collect()

py-polars/polars/testing/_parametric.py

@@ -26,7 +26,7 @@
 )
 from hypothesis.strategies._internal.utils import defines_strategy
 
-from polars import internals as pli
+from polars.dataframe import DataFrame
 from polars.datatypes import (
     Boolean,
     Categorical,
@@ -48,18 +48,16 @@
     is_polars_dtype,
     py_type_to_dtype,
 )
+from polars.series.series import Series
 from polars.string_cache import StringCache
 from polars.testing.asserts import is_categorical_dtype
 
 if TYPE_CHECKING:
     from hypothesis.strategies import DrawFn, SearchStrategy
 
-    from polars.dataframe.frame import DataFrame
-    from polars.lazyframe.frame import LazyFrame
-    from polars.series.series import Series
+    from polars.lazyframe import LazyFrame
     from polars.type_aliases import OneOrMoreDataTypes, PolarsDataType
 
-
 # Default profile (eg: running locally)
 common_settings = {"print_blob": True, "deadline": None}
 settings.register_profile(
@@ -440,7 +438,7 @@ def draw_series(draw: DrawFn) -> Series:
                         series_values[idx] = None
 
             # init series with strategy-generated data
-            s = pli.Series(
+            s = Series(
                 name=series_name,
                 dtype=series_dtype,
                 values=series_values,
@@ -614,7 +612,7 @@ def draw_frames(draw: DrawFn) -> DataFrame | LazyFrame:
             frame_columns = [
                 c.name if (c.dtype is None) else (c.name, c.dtype) for c in coldefs
             ]
-            df = pli.DataFrame(
+            df = DataFrame(
                 data={
                     c.name: draw(
                         series(

py-polars/polars/testing/asserts.py

@@ -1,10 +1,10 @@
 from __future__ import annotations
 
 import textwrap
-from typing import TYPE_CHECKING, Any
+from typing import Any
 
 from polars import functions as F
-from polars import internals as pli
+from polars.dataframe import DataFrame
 from polars.datatypes import (
     Boolean,
     Categorical,
@@ -14,13 +14,10 @@
     dtype_to_py_type,
 )
 from polars.exceptions import ComputeError, InvalidAssert
+from polars.lazyframe import LazyFrame
+from polars.series import Series
 from polars.utils.decorators import deprecate_nonkeyword_arguments, deprecated_alias
 
-if TYPE_CHECKING:
-    from polars.dataframe.frame import DataFrame
-    from polars.lazyframe.frame import LazyFrame
-    from polars.series.series import Series
-
 
 @deprecate_nonkeyword_arguments()
 @deprecated_alias(check_column_names="check_column_order")
@@ -71,10 +68,10 @@ def assert_frame_equal(
     >>> assert_frame_equal(df1, df2)  # doctest: +SKIP
     AssertionError: Values for column 'a' are different.
     """
-    if isinstance(left, pli.LazyFrame) and isinstance(right, pli.LazyFrame):
+    if isinstance(left, LazyFrame) and isinstance(right, LazyFrame):
         left, right = left.collect(), right.collect()
         obj = "LazyFrames"
-    elif isinstance(left, pli.DataFrame) and isinstance(right, pli.DataFrame):
+    elif isinstance(left, DataFrame) and isinstance(right, DataFrame):
         obj = "DataFrames"
     else:
         raise_assert_detail("Inputs", "Unexpected input types", type(left), type(right))
@@ -233,8 +230,8 @@ def assert_series_equal(
 
     """
     if not (
-        isinstance(left, pli.Series)  # type: ignore[redundant-expr]
-        and isinstance(right, pli.Series)
+        isinstance(left, Series)  # type: ignore[redundant-expr]
+        and isinstance(right, Series)
     ):
         raise_assert_detail("Inputs", "Unexpected input types", type(left), type(right))
 

py-polars/polars/utils/various.py

@@ -1,21 +1,15 @@
 from __future__ import annotations
 
-import contextlib
 import os
 import re
 import sys
 from collections.abc import MappingView, Sized
 from typing import TYPE_CHECKING, Any, Generator, Iterable, Sequence, TypeVar
 
 from polars import functions as F
-from polars import internals as pli
 from polars.datatypes import Int64, is_polars_dtype
 
-with contextlib.suppress(ImportError):  # Module not available when building docs
-    from polars.polars import PyExpr
-
 if TYPE_CHECKING:
-    from polars.expr.expr import Expr
     from polars.series.series import Series
 
 
@@ -76,16 +70,6 @@ def is_int_sequence(val: object) -> TypeGuard[Sequence[int]]:
     return isinstance(val, Sequence) and _is_iterable_of(val, int)
 
 
-def is_expr_sequence(val: object) -> TypeGuard[Sequence[Expr]]:
-    """Check whether the given object is a sequence of Exprs."""
-    return isinstance(val, Sequence) and _is_iterable_of(val, pli.Expr)
-
-
-def is_pyexpr_sequence(val: object) -> TypeGuard[Sequence[PyExpr]]:
-    """Check whether the given object is a sequence of PyExprs."""
-    return isinstance(val, Sequence) and _is_iterable_of(val, PyExpr)
-
-
 def is_str_sequence(
     val: object, *, allow_str: bool = False
 ) -> TypeGuard[Sequence[str]]: