python3-ml-collections

collections designed for ML usecases
  https://github.com/google/ml_collections
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The package provices two classes called ConfigDict and FrozenConfigDict that are "dict-like" data structures with dot access to nested elements. Together, they are supposed to be used as a main way of expressing configurations of experiments and models.

Features: * Dot-based access to fields. * Locking mechanism to prevent spelling mistakes. * Lazy computation. * FrozenConfigDict() class which is immutable and hashable. * Type safety. * "Did you mean" functionality. * Human readable printing (with valid references and cycles), using valid YAML format. * Fields can be passed as keyword arguments using the ** operator.

There are two exceptions to the strong type-safety of the ConfigDict. int values can be passed in to fields of type float. In such a case, the value is type-converted to a float before being stored. Similarly, all string types (including Unicode strings) can be stored in fields of type str or unicode.