v1.6.0

• ecolab:
  • Added protobuf repeated fields support to ecolab.inspect
  • ecolab.auto_display:
    • Support specifiers to customize auto-display (;s, ;a, ;i,
      ;p,...)
    • Fixed auto-display when the line contain UTF-8 character
  • Fix a bug for ecolab.highlight_html to escape HTML string.
• epy:
  • epy.lazy_imports() support adhoc imports (will re-create the original
    ecolab.adhoc context when resolved)
  • Added: epy.binary_adhoc() to add adhoc imports when using Python
    interpreter.
  • epy.lazy_imports() supports error and success callbacks
    (error_callback/success_callback).
  • Added: epy.pretty_repr support attr dataclass-like objects.
• exm:
  • Adding artifacts can be used inside with xm.create_experiment()

v1.5.2

• ecolab:
  • Fix import error in IPython when 7.0 <= version < 8
• epath:
  • Fix resource_path when used on a adhoc-imported module.

v1.5.1

• epath:
  • Fix glob issue when used with ffspec.

v1.5.0

• ecolab:
  • Auto display statements ending with ; (assignments, return
    statements, expressions,...).
  • Adhoc proto now supports message extensions.
• epath:
  • Add missing_ok=False kwargs to path.rmtree.
  • Add fsspec_backend relying on fsspec to handle GCS/S3 without needing
    TensorFlow. This means that gcsfs and s3fs become required
    dependencies to read respectively GCS and S3. TensorFlow is no more
    required. Note: If TensorFlow is installed, we still default to
    the tf_backend for backward compatibility.
  • Changed: path.glob raise an error if insufficient permission.
• enp:
  • ArraySpec.from_array:
    • Fix when TF is in graph mode.
    • Add orbax metadata support
• epy:
  • Add epy.pretty_repr for pretty print an object (including dataclass).
  • Add epy.diff_str for pretty diff print of 2 objects.
  • Add epy.is_namedtuple
• etree:
  • Fix etree.map for namedtuple (Python backend)

v1.4.1

• lazy_imports: More lazy imports
• epath: Remove circular deps

v1.4.0

• epy:
  • Add @epy.lazy_imports to lazyly import modules.
  • Fix @epy.frozen when class has custom __getattr__
• ecolab:
  • ecolab.collapse()
    • Breaking: Remove widget=True argument to (widget always enabled).
      • Add expanded: bool kwargs to control whether the widget is
        expanded or collapsed by default.
  • Breaking: Remove keep_proto kwargs from clear_cached_modules and
    import_proto kwargs from adhoc (proto always supported)
  • Add expanded argument to ecolab.json() and change default behavior
    to False.
• enp:
  • Make array spec (e.g. etree.spec_like()) hashable.
  • enp.lazy.is_tf returns True for tf.TensorSpec
  • Remove array_types.dtypes and array_types.typing (should use
    enp.dtypes and enp.typing instead).
• epath:
  • Add owner and group to epath.Path.stat output. Does not work for
    Windows nor when tf.io.gfile is used.
• etree:
  • Fix etree.map for collections.defaultdict
• internal:
  • Add a unwrap_on_reload to save/restore original function after a
    module is reloaded (e.g. on colab)

v1.3.0

• ecolab:
  • Add widget=True argument to ecolab.collapse() for better
    interactivity.
  • Add ecolab.highlight_html(code) to add syntax highlighting to cell
    outputs of specific objects.
• edc:
  • Add contextvars option: Fields annotated as edc.ContextVars[T] are
    wrapped in contextvars.ContextVars.
  • Fix error when using _: dataclasses.KW_ONLY
  • __repr__ now also pretty-print nested dataclasses, list, dict,...
• enp:
  • ArraySpec support grain.ArraySpec (allow support
    etree.spec_like(ds.element_spec) on grain datasets)
• epy:
  • Better epy.Lines.make_block for custom pretty print classes, list,...

v1.2.0

• enp:
  • etree.spec_like support f32,... annotations (when fully defined).
• etree:
  • Add optree backend.
• ecolab:
  • Add ecolab.auto_inspect() to allow inspecting all colab outputs.
  • Fix various ecolab.inspect issues (e.g. when used on metaclasses,...).
  • Add ecolab.inspect support for Jupyter notebook (non-Colab).

v1.1.1

• enp:
  • Fix torch==2.0 compatibility.
• Fix warning during pip install (missing epath-no-tf)

v1.1.0

• enp:
  • Add torch support!
  • Add enp.lazy.LazyArray to lazily check
    isinstance(array, enp.lazy.LazyArray) without triggering TF,
    jax,... imports
  • Add skip=['jnp', ...] kwarg to enp.testing.parametrize_xnp to
    exclude a specific xnp module from tests.
  • Add enp.compat function to fix compatibility issues between Jax, TF,
    torch, numpy (e.g. x.astype() missing from torch, but working in
    jax, tf, np).
  • Breaking: Move some functions from enp.linalg to enp.compat.
  • Add more enp.lazy. methods for conversions from/to dtype
• ecolab:
  • Add ecolab.inspect for interactively inspect any Python objects.
  • Add ecolab.json for interactive expandable JSON display.
  • ecolab.auto_plot_array
    • Add torch
    • Small/large images (height outside 100-250px) are automatically
      scaled up/down. Can be disabled with
      ecolab.auto_plot_array(height=None)
    • Can overwrite mediapy default options with show_images_kwargs
      and show_videos_kwargs
  • Add ecolab.interruptible for graceful interruption of loops.
  • Fixed: Pytype/pylance support for lazy_imports: unlock auto-complete,
    docstring tooltip, do not trigger linter errors anymore
    ("xxx" is not definedPylancereportUndefinedVariable).
• etree:
  • from etils import etree now expose the Python backend (
    etree.map,...). Other backend are still available as previously
    (etree.jax.map,...)
• epy:
  • Added: epy.splitby to split an iterator in 2, based on a predicate.
    (e.g. small, big = epy.splitby([20, 1, 30, 1, 2], lambda x: x > 10))