code: def load_features(features, profile_name=None):
      """Loads the features from a filepath, S3 path, URL, an open file, or a JSON formatted string.
  
      Args:
          features (str or :class:`.FileObject`): The file location of saved features.
          This must either be the name of the file, a JSON formatted string, or a readable file handle.
  
          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.
  
      Returns:
          features (list[:class:`.FeatureBase`]): Feature definitions list.
  
      Note:
          Features saved in one version of Featuretools or Python are not guaranteed to work in another.
          After upgrading Featuretools or Python, features may need to be generated again.
  
      Example:
          .. ipython:: python
              :suppress:
  
              import featuretools as ft
              import os
  
          .. code-block:: python
  
              # Option 1
              filepath = os.path.join('/Home/features/', 'list.json')
              features = ft.load_features(filepath)
  
              # Option 2
              filepath = os.path.join('/Home/features/', 'list.json')
              with open(filepath, 'r') as f:
                  features = ft.load_features(f)
  
              # Option 3
              filepath = os.path.join('/Home/features/', 'list.json')
              with open(filepath, 'r') as :
                  feature_str = f.read()
              features = ft.load_features(feature_str)
  
  
      .. seealso::
          :func:`.save_features`
      """
      return FeaturesDeserializer.load(features, profile_name).to_list()
  
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 1 for calling a global function with example usage: load_features(features, profile_name) and returns: FeaturesDeserializer