Bug#991769: ITP: python-ml-collections -- collections designed for ML usecases

[Steffen Moeller <moeller@debian.org>]

Package: wnpp
Severity: wishlist

Subject: ITP: python-ml-collections -- collections designed for ML usecases
Package: wnpp
Owner: Steffen Moeller <moeller@debian.org>
Severity: wishlist

* Package name    : python-ml-collections
  Version         : 0.1.0
  Upstream Author : xx-20yy ML Collections Authors <ml-collections@google.com>
* URL             : https://github.com/google/ml_collections
* License         : Apache-2.0
  Programming Lang: Python
  Description     : collections designed for ML usecases
 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.

Remark: This package is maintained by Debian Python Team at
   https://salsa.debian.org/python-team/packages/python-ml-collections