CLN: remove extraneous arg from get_block_type

pandas/core/internals/api.py

@@ -52,7 +52,7 @@ def make_block(
 
     if klass is None:
         dtype = dtype or values.dtype
-        klass = get_block_type(values, dtype)
+        klass = get_block_type(dtype)
 
     elif klass is DatetimeTZBlock and not is_datetime64tz_dtype(values.dtype):
         # pyarrow calls get here

pandas/core/internals/blocks.py

@@ -1918,13 +1918,12 @@ def maybe_coerce_values(values: ArrayLike) -> ArrayLike:
     return values
 
 
-def get_block_type(values, dtype: DtypeObj | None = None):
+def get_block_type(dtype: DtypeObj):
     """
     Find the appropriate Block subclass to use for the given values and dtype.
 
     Parameters
     ----------
-    values : ndarray-like
     dtype : numpy or pandas dtype
 
     Returns
@@ -1933,9 +1932,6 @@ def get_block_type(values, dtype: DtypeObj | None = None):
     """
     # We use vtype and kind checks because they are much more performant
     #  than is_foo_dtype
-    if dtype is None:
-        dtype = values.dtype
-
     vtype = dtype.type
     kind = dtype.kind
 
@@ -1970,7 +1966,7 @@ def new_block(values, placement, *, ndim: int, klass=None) -> Block:
     check_ndim(values, placement, ndim)
 
     if klass is None:
-        klass = get_block_type(values, values.dtype)
+        klass = get_block_type(values.dtype)
 
     values = maybe_coerce_values(values)
     return klass(values, ndim=ndim, placement=placement)

pandas/core/internals/managers.py

@@ -1934,7 +1934,7 @@ def _form_blocks(arrays: list[ArrayLike], consolidate: bool) -> list[Block]:
 
     nbs = []
     for (_, _, dtype), tup_block in grouper:
-        block_type = get_block_type(None, dtype)
+        block_type = get_block_type(dtype)
 
         if isinstance(dtype, np.dtype):
             is_dtlike = dtype.kind in ["m", "M"]