code: def load(cls, features, profile_name):
      if isinstance(features, str):
          try:
              features_dict = json.loads(features)
          except ValueError:
              if _is_url(features) or _is_s3(features):
                  transport_params = None
                  if _is_s3(features):
                      transport_params = get_transport_params(
                          profile_name
                      )
                  features_dict = use_smartopen_features(
                      features,
                      transport_params=transport_params,
                  )
              else:
                  with open(features, "r") as f:
                      features_dict = json.load(f)
          return cls(features_dict)
      return cls(json.load(features))
  
file_path: featuretools/featuretools/feature_base/features_deserializer.py
imports: import json
  from featuretools.entityset.deserialize import description_to_entityset
  from featuretools.feature_base.feature_base import AggregationFeature, DirectFeature, Feature, FeatureBase, FeatureOutputSlice, GroupByTransformFeature, IdentityFeature, TransformFeature
  from featuretools.primitives.utils import PrimitivesDeserializer
  from featuretools.utils.s3_utils import get_transport_params, use_smartopen_features
  from featuretools.utils.schema_utils import check_schema_version
  from featuretools.utils.wrangle import _is_s3, _is_url
label_desc: Use image node_id 2 for calling the FeaturesDeserializer obj's underlying member method code with example usage: obj.load(cls, features, profile_name) and returns: cls, cls