code: def _ensure_ndmin_ndarray(a, *, ndmin: int):
      """This is a helper function of loadtxt and genfromtxt to ensure
      proper minimum dimension as requested
  
      ndim : int. Supported values 1, 2, 3
                  ^^ whenever this changes, keep in sync with
                     _ensure_ndmin_ndarray_check_param
      """
      # Verify that the array has at least dimensions `ndmin`.
      # Tweak the size and shape of the arrays - remove extraneous dimensions
      if a.ndim > ndmin:
          a = np.squeeze(a)
      # and ensure we have the minimum number of dimensions asked for
      # - has to be in this order for the odd case ndmin=1, a.squeeze().ndim=0
      if a.ndim < ndmin:
          if ndmin == 1:
              a = np.atleast_1d(a)
          elif ndmin == 2:
              a = np.atleast_2d(a).T
  
      return a
  
imports: import os
  import re
  import functools
  import itertools
  import warnings
  import weakref
  import contextlib
  import operator
  from operator import itemgetter, index, methodcaller
  from collections.abc import Mapping
  import pickle
  import numpy
  from .None import format
  from ._datasource import DataSource
  from numpy._core import overrides
  from numpy._core.multiarray import packbits, unpackbits
  from numpy._core._multiarray_umath import _load_from_filelike
  from numpy._core.overrides import set_array_function_like_doc, set_module
  from ._iotools import LineSplitter, NameValidator, StringConverter, ConverterError, ConverterLockError, ConversionWarning, _is_string_like, has_nested_fields, flatten_dtype, easy_dtype, _decode_line
  from numpy._utils import asunicode, asbytes
label_desc: Use image node_id 11 for calling a global function with example usage: _ensure_ndmin_ndarray(a) and returns: a