class_docstr: Mixin class for StringArray, ArrowStringArray.
class_docstr_tok: ["Mixin","class","for","StringArray",",","ArrowStringArray","."]
code: def _from_scalars(cls, scalars, dtype: DtypeObj) -> Self:
      if lib.infer_dtype(scalars, skipna=True) not in [
          "string",
          "empty",
      ]:
          # TODO: require any NAs be valid-for-string
          raise ValueError
      return cls._from_sequence(scalars, dtype=dtype)
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, ClassVar, Literal, cast
  import numpy
  from pandas._config import get_option
  from pandas._libs import lib, missing
  from pandas._libs.arrays import NDArrayBacked
  from pandas._libs.lib import ensure_string_array
  from pandas.compat import pa_version_under10p1
  from pandas.compat.numpy import function
  from pandas.util._decorators import doc
  from pandas.core.dtypes.base import ExtensionDtype, StorageExtensionDtype, register_extension_dtype
  from pandas.core.dtypes.common import is_array_like, is_bool_dtype, is_integer_dtype, is_object_dtype, is_string_dtype, pandas_dtype
  from pandas.core import ops
  from pandas.core.array_algos import masked_reductions
  from pandas.core.arrays.base import ExtensionArray
  from pandas.core.arrays.floating import FloatingArray, FloatingDtype
  from pandas.core.arrays.integer import IntegerArray, IntegerDtype
  from pandas.core.arrays.numpy_ import NumpyExtensionArray
  from pandas.core.construction import extract_array
  from pandas.core.indexers import check_array_indexer
  from pandas.core.missing import isna
label_desc: Use image node_id 2 for calling the BaseStringArray obj's underlying member method code with example usage: obj._from_scalars(cls, scalars, dtype) and returns: cls