class_docstr: Base class for IntegerArray and FloatingArray.
class_docstr_tok: ["Base","class","for","IntegerArray","and","FloatingArray","."]
code: def _from_sequence_of_strings(
      cls: type[T],
      strings,
      *,
      dtype: Dtype | None = None,
      copy: bool = False,
  ) -> T:
      from pandas.core.tools.numeric import to_numeric
  
      scalars = to_numeric(
          strings, errors="raise", dtype_backend="numpy_nullable"
      )
      return cls._from_sequence(scalars, dtype=dtype, copy=copy)
  
imports: from __future__ import annotations
  import numbers
  from typing import TYPE_CHECKING, Any, Callable, Mapping, TypeVar
  import numpy
  from pandas._libs import lib, missing
  from pandas._typing import Dtype, DtypeObj, npt
  from pandas.errors import AbstractMethodError
  from pandas.util._decorators import cache_readonly
  from pandas.core.dtypes.common import is_bool_dtype, is_float_dtype, is_integer_dtype, is_object_dtype, is_string_dtype, pandas_dtype
  from pandas.core.arrays.masked import BaseMaskedArray, BaseMaskedDtype
label_desc: Use image node_id 4 for calling the NumericArray obj's underlying member method code with example usage: obj._from_sequence_of_strings(cls, strings) and returns: cls