Update dependency jaxtyping to v0.2.33

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
jaxtyping	0.2.28 -> 0.2.33

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Release Notes

google/jaxtyping (jaxtyping)

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

• @​groszewn made their first contribution in https://github.com/patrick-kidger/jaxtyping/pull/218

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

• @​alexfanqi made their first contribution in https://github.com/patrick-kidger/jaxtyping/pull/211

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

• @​ar0ck made their first contribution in https://github.com/patrick-kidger/jaxtyping/pull/191
• @​dziulek made their first contribution in https://github.com/patrick-kidger/jaxtyping/pull/193
• @​superbobry made their first contribution in https://github.com/patrick-kidger/jaxtyping/pull/201
• @​nimashoghi made their first contribution in https://github.com/patrick-kidger/jaxtyping/pull/205
• @​jaraujo98 made their first contribution in https://github.com/patrick-kidger/jaxtyping/pull/208

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

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