code: def _one_hot_encode_column(
      column: ColumnBase,
      categories: ColumnBase,
      prefix: Optional[str],
      prefix_sep: Optional[str],
      dtype: Optional[Dtype],
  ) -> Dict[str, ColumnBase]:
      """Encode a single column with one hot encoding. The return dictionary
      contains pairs of (category, encodings). The keys may be prefixed with
      `prefix`, separated with category name with `prefix_sep`. The encoding
      columns maybe coerced into `dtype`.
      """
      if isinstance(column, CategoricalColumn):
          if column.size == column.null_count:
              column = column_empty_like(
                  categories, newsize=column.size
              )
          else:
              column = column._get_decategorized_column()
  
      if column.size * categories.size >= np.iinfo(size_type_dtype).max:
          raise ValueError(
              "Size limitation exceeded: column.size * category.size < "
              f"np.iinfo({size_type_dtype}).max. Consider reducing "
              "size of category"
          )
      data = one_hot_encode(column, categories)
  
      if prefix is not None and prefix_sep is not None:
          data = {
              f"{prefix}{prefix_sep}{col}": enc
              for col, enc in data.items()
          }
      if dtype:
          data = {k: v.astype(dtype) for k, v in data.items()}
      return data
  
imports: import itertools
  import warnings
  from collections import abc
  from typing import Dict, Optional
  import cupy
  import numpy
  import pandas
  import cudf
  from cudf._lib.transform import one_hot_encode
  from cudf._lib.types import size_type_dtype
  from cudf._typing import Dtype
  from cudf.api.extensions import no_default
  from cudf.core.column import ColumnBase, as_column, column_empty_like
  from cudf.core.column.categorical import CategoricalColumn
  from cudf.utils.dtypes import min_unsigned_type
label_desc: Use image node_id 12 for calling a global function with example usage: _one_hot_encode_column(column, categories, prefix, prefix_sep, dtype) and returns: data