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chore(deps): update dependency jaxtyping to v0.2.34 #591

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chore(deps): update dependency jaxtyping to v0.2.34 #591

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@renovate renovate bot commented Jul 14, 2024 •
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This PR contains the following updates:

Package Change Age Adoption Passing Confidence
jaxtyping 0.2.25 -> 0.2.34 age adoption passing confidence

Release Notes

google/jaxtyping (jaxtyping)

v0.2.34: jaxtyping v0.2.34

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New Contributors

Full Changelog: patrick-kidger/jaxtyping@v0.2.33...v0.2.34

v0.2.33: jaxtyping v0.2.33

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  • Compatibility with Python 3.10 when using Any as the array type.
  • Compatibility with generic array types.
  • Array typevars now respect __constraints__

Full Changelog: patrick-kidger/jaxtyping@v0.2.32...v0.2.33

v0.2.32: jaxtyping v0.2.32

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  • The array type can now be either Any or a TypeVar. In both cases this means that anything is allowed at runtime. As usual, static type checkers will only look at the array part of an annotation, so that an annotation of the form Float[T, "foo bar"] (where T = TypeVar("T")) will be treated as just T by static type checkers. This allows for expressing array-type-polymorphism with static typechecking. Here's an example:

    import numpy as np
import torch
from typing import TypeVar

TensorLike = TypeVar("TensorLike", np.ndarray, torch.Tensor)

def stack_scalars(x: Float[TensorLike, ""], y: Float[TensorLike, ""]) -> Float[TensorLike, "2"]:
    if isinstance(x, np.ndarray) and isinstance(y, np.ndarray):
        return np.stack([x, y])
    elif isinstance(x, torch.Tensor) and isinstance(y, torch.Tensor):
        return torch.stack([x, y])
    else:
        raise ValueError("Invalid array types!")

  • Fixed a bug in which the very first argument to a function was erroneously reported as the one at fault for a typechecking error. This bug occurred when using default arguments.

Full Changelog: patrick-kidger/jaxtyping@v0.2.31...v0.2.32

v0.2.31: jaxtyping v0.2.31

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  • Now duck-type on array shapes and dtypes, so you can use jaxtyping for your custom arraylike objects:

    class FooDtype(jaxtyping.AbstractDtype):
	dtypes = ["foo"]

class MyArray:
	@​property
	def dtype(self):
		return "foo"

	@​property
	def shape(self):
		return (3, 1, 4)

def f(x: FooDtype[MyArray, "3 1 4"]): ...

  • Improved compatibility when typeguard warns that you're typechecking a function without annotations: it will no longer mention the jaxtyping-internal check_params function and will instead mention the name of the function that is missing annotations.

  • Improved the error message when typechecking fails, to state the full some_module.SomeClass.some_method rather than just some_method.

  • Fixed a JAX deprecation warning for jax.tree_map. (Thanks @​groszewn!)

New Contributors

Full Changelog: patrick-kidger/jaxtyping@v0.2.30...v0.2.31

v0.2.30: jaxtyping v0.2.30

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  • Now reporting the correct source code line numbers when using the import hook. Makes debuggers useful again! #​214
  • Now supports numpy structured dtypes (Thanks @​alexfanqi! #​211)
  • Now respecting typing.no_type_check. #​216

New Contributors

Full Changelog: patrick-kidger/jaxtyping@v0.2.29...v0.2.30

v0.2.29: jaxtyping v0.2.29

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  • Crash fix for when jax is available but jaxlib is not. (Thanks @​ar0ck! #​191)
  • Crash fix when used alongside old TensorFlow versions that don't support tensor.ndim (Thanks @​dziulek! #​193)
  • Crash fix when using a default argument as a symbolic dimension size. (Thanks @​jaraujo98! #​208)
  • Improved import times by defining the IPython magic lazily. (Thanks @​superbobry! #​201)
  • The import hook will now typecheck functions that do not have any annotations in the arguments or return value. This is useful for those that do manual isinstance checks in the body of teh function. (Thanks @​nimashoghi! #​205)
  • Dropped the dependency on numpy. This makes it possible to just use jaxtyping+typeguard as the one-stop-shop for all runtime typechecking, even when you're not using arrays. Obviously that's a little unusual -- not really the main focus of jaxtyping -- but helps when wanting a single choice of runtime type checker across an entire codebase, only parts of which may use arrays. (#​212)

New Contributors

Full Changelog: patrick-kidger/jaxtyping@v0.2.28...v0.2.29

v0.2.28: jaxtyping v0.2.28

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Autogenerated release notes as follows:

What's Changed

Full Changelog: patrick-kidger/jaxtyping@v0.2.27...v0.2.28

v0.2.27: jaxtyping v0.2.27

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Quick bugfix release:

  • Fixed some isinstance checks against variadics crashing (although this was when it was about to return False anyway). (Thanks @​asford! #​186)
  • Fixed docs for downstream libraries (Equinox, ...) not generating correctl (#​182)

New Contributors

Full Changelog: patrick-kidger/jaxtyping@v0.2.26...v0.2.27

v0.2.26: jaxtyping v0.2.26

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Features
  • Added jaxtyping.print_bindings to manually inspect the values of each axis, whilst inside a function.
  • Added support for jaxtyping.{Int4, UInt4}. (#​174, thanks @​jianlijianli!)
Bugfixes
  • We no longer import JAX at all, even if it is present. This ensures compatibility when using jaxtyping+PyTorch alongside an old JAX installation. (All JAX re-exports, like jaxtyping.Array = jax.Array, are looked up dynamically rather than import time.) (#​178)
  • We no longer raise false postiives when @jaxtyped-ing generators (with yield statements). (#​91, #​171, thanks @​knyazer!)
Internals
  • Added support for beartype's pseudostandard __instancecheck_str__ method. Instead of isinstance(x, Float[Array, "foo"]), then one can now call Float[Array, "foo"].__instancecheck_str__(x), which will return either an empty string (success) or an error message describing why the check failed (wrong shape, wrong dtype, ...). In practice this feature probably isn't super usable right now; we'll need to wait until we've later done a better job ensuring compatibility between the jaxtyping import hooks and the beartype import hooks.
Docs

New Contributors

Full Changelog: patrick-kidger/jaxtyping@v0.2.25...v0.2.26

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This PR was generated by Mend Renovate. View the repository job log.

@renovate renovate bot added the dependencies Pull requests that update a dependency file label Jul 14, 2024
@renovate renovate bot requested a review from a team as a code owner July 14, 2024 07:27
@renovate renovate bot force-pushed the renovate/jaxtyping-0.x-lockfile branch from 551077a to 05905dd Compare September 1, 2024 23:24
@renovate renovate bot changed the title chore(deps): update dependency jaxtyping to v0.2.33 chore(deps): update dependency jaxtyping to v0.2.34 Sep 1, 2024
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