class_docstr: A pandas ExtensionArray for NumPy data.
  
  This is mostly for internal compatibility, and is not especially
  useful on its own.
  
  Parameters
  ----------
  values : ndarray
      The NumPy ndarray to wrap. Must be 1-dimensional.
  copy : bool, default False
      Whether to copy `values`.
  
  Attributes
  ----------
  None
  
  Methods
  -------
  None
  
  Examples
  --------
  >>> pd.arrays.NumpyExtensionArray(np.array([0, 1, 2, 3]))
  <NumpyExtensionArray>
  [0, 1, 2, 3]
  Length: 4, dtype: int64
code: def _from_sequence(
      cls, scalars, *, dtype: Dtype | None = None, copy: bool = False
  ) -> NumpyExtensionArray:
      if isinstance(dtype, NumpyEADtype):
          dtype = dtype._dtype
  
      # error: Argument "dtype" to "asarray" has incompatible type
      # "Union[ExtensionDtype, str, dtype[Any], dtype[floating[_64Bit]], Type[object],
      # None]"; expected "Union[dtype[Any], None, type, _SupportsDType, str,
      # Union[Tuple[Any, int], Tuple[Any, Union[int, Sequence[int]]], List[Any],
      # _DTypeDict, Tuple[Any, Any]]]"
      result = np.asarray(scalars, dtype=dtype)  # type: ignore[arg-type]
      if (
          result.ndim > 1
          and not hasattr(scalars, "dtype")
          and (dtype is None or dtype == object)
      ):
          # e.g. list-of-tuples
          result = construct_1d_object_array_from_listlike(scalars)
  
      if copy and result is scalars:
          result = result.copy()
      return cls(result)
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Literal
  import numpy
  from pandas._libs import lib
  from pandas._libs.tslibs import is_supported_dtype
  from pandas.compat.numpy import function
  from pandas.core.dtypes.astype import astype_array
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
  from pandas.core.dtypes.common import pandas_dtype
  from pandas.core.dtypes.dtypes import NumpyEADtype
  from pandas.core.dtypes.missing import isna
  from pandas.core import arraylike, missing, nanops, ops
  from pandas.core.arraylike import OpsMixin
  from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
  from pandas.core.construction import ensure_wrapped_if_datetimelike
  from pandas.core.strings.object_array import ObjectStringArrayMixin
label_desc: Use image node_id 2 for calling the NumpyExtensionArray obj's underlying member method code with example usage: obj._from_sequence(cls, scalars) and returns: cls