code: def read_entityset(path, profile_name=None, **kwargs):
      """Read entityset from disk, S3 path, or URL.
  
      Args:
          path (str): Directory on disk, S3 path, or URL to read `data_description.json`.
          profile_name (str, bool): The AWS profile specified to write to S3. Will default to None and search for AWS credentials.
              Set to False to use an anonymous profile.
          kwargs (keywords): Additional keyword arguments to pass as keyword arguments to the underlying deserialization method.
      """
      if _is_url(path) or _is_s3(path) or _is_local_tar(str(path)):
          with tempfile.TemporaryDirectory() as tmpdir:
              local_path = path
              transport_params = None
  
              if _is_s3(path):
                  transport_params = get_transport_params(profile_name)
  
              if _is_s3(path) or _is_url(path):
                  local_path = os.path.join(tmpdir, "temporary_es")
                  use_smartopen_es(local_path, path, transport_params)
  
              with tarfile.open(str(local_path)) as tar:
                  tar.extractall(path=tmpdir)
  
              data_description = read_data_description(tmpdir)
              return description_to_entityset(
                  data_description, **kwargs
              )
      else:
          data_description = read_data_description(path)
          return description_to_entityset(data_description, **kwargs)
  
file_path: featuretools/featuretools/entityset/deserialize.py
imports: import json
  import os
  import tarfile
  import tempfile
  import pandas
  import woodwork.type_sys.type_system
  from woodwork.deserialize import read_woodwork_table
  from featuretools.entityset.relationship import Relationship
  from featuretools.utils.gen_utils import Library, import_or_none
  from featuretools.utils.s3_utils import get_transport_params, use_smartopen_es
  from featuretools.utils.schema_utils import check_schema_version
  from featuretools.utils.wrangle import _is_local_tar, _is_s3, _is_url
label_desc: Use image node_id 4 for calling a global function with example usage: read_entityset(path, profile_name) and returns: description_to_entityset, description_to_entityset