code: def deserialize(cls, schema_meta: dict):
      schema_manager = SchemaManager()
  
      schema_dict = dict(
          columns=[],
          anonymous_columns=[],
          anonymous_summary=schema_meta["anonymous_summary"],
      )
      type_dict = {}
      for field in schema_meta["fields"]:
          p = field["property"]
          name = field["name"]
          if field["property"] in [
              "sample_id",
              "match_id",
              "weight",
              "label",
          ]:
              schema_dict[f"{p}_name"] = name
              type_dict[f"{p}_type"] = field["dtype"]
              if p in ["label", "weight"]:
                  schema_dict[f"anonymous_{p}_name"] = field[
                      "anonymous_name"
                  ]
          else:
              schema_dict["columns"].append(name)
  
              if "dtype" not in type_dict:
                  type_dict["dtype"] = dict()
              type_dict["dtype"][name] = field["dtype"]
  
              if "anonymous_name" in field:
                  schema_dict["anonymous_columns"].append(
                      field["anonymous_name"]
                  )
  
      schema = Schema(**schema_dict)
      schema_manager.schema = schema
      schema_manager.init_name_mapping()
      schema_manager.init_field_types(**type_dict)
  
      return schema_manager
  
imports: import copy
  from typing import List, Union
  import pandas
  from .utils import AnonymousGenerator
label_desc: Use image node_id 28 for calling the SchemaManager obj's underlying member method code with example usage: obj.deserialize(cls, schema_meta) and returns: schema_manager