class_docstr: The `ColumnCatalog` catalog stores information about the columns of the table.
  It maintains the following information for each column
  `_row_id:` an autogenerated identifier
  `_name: ` name of the column
  `_type:` the type of the column, refer `ColumnType`
  `_is_nullable:` which indicates whether the column is nullable
  `_array_type:` the type of array, as specified in `NdArrayType` (or `None` if the column is a primitive type)
  `_array_dimensions:` the dimensions of the array (if `_array_type` is not `None`)
  `_table_id:` the `_row_id` of the `TableCatalog` entry to which the column belongs
  `_dep_caches`: list of function caches associated with the column
code: def as_dataclass(self) -> "ColumnCatalogEntry":
      return ColumnCatalogEntry(
          row_id=self._row_id,
          name=self._name,
          type=self._type,
          is_nullable=self._is_nullable,
          array_type=self._array_type,
          array_dimensions=self.array_dimensions,
          table_id=self._table_id,
          table_name=self._table_catalog._name,
          dep_caches=[
              cache.as_dataclass() for cache in self._dep_caches
          ],
      )
  
file_path: evadb/evadb/catalog/models/column_catalog.py
imports: from __future__ import annotations
  from ast import literal_eval
  from typing import Tuple
  from sqlalchemy import Boolean, Column, ForeignKey, Integer, String, UniqueConstraint
  from sqlalchemy.orm import relationship
  from sqlalchemy.types import Enum
  from evadb.catalog.catalog_type import ColumnType, Dimension, NdArrayType
  from evadb.catalog.models.association_models import depend_column_and_function_cache
  from evadb.catalog.models.base_model import BaseModel
  from evadb.catalog.models.utils import ColumnCatalogEntry
label_desc: Use image node_id 4 for calling the ColumnCatalog obj's underlying member method code with example usage: obj.as_dataclass() and returns: ColumnCatalogEntry