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https://github.com/wassname/jaxtyping.git
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d246e21281 | ||
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165065756f | ||
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dcd73e3431 |
+12
-8
@@ -20,14 +20,18 @@
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import typing
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import typing
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if getattr(typing, "GENERATING_DOCUMENTATION", False):
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if typing.TYPE_CHECKING:
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# type checkers don't know which branch below will be executed
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class Array:
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pass
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Array.__module__ = "builtins"
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else:
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from jax.numpy import ndarray as Array
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from jax.numpy import ndarray as Array
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else:
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if getattr(typing, "GENERATING_DOCUMENTATION", False):
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class Array:
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pass
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Array.__module__ = "builtins"
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else:
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from jax.numpy import ndarray as Array
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from .array_types import (
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from .array_types import (
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AbstractArray,
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AbstractArray,
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@@ -63,4 +67,4 @@ from .import_hook import install_import_hook
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from .pytree_type import PyTree
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from .pytree_type import PyTree
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__version__ = "0.2.5"
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__version__ = "0.2.7"
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@@ -384,7 +384,12 @@ class _MetaAbstractDtype(type):
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elem = _SymbolicDim(elem, broadcastable)
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elem = _SymbolicDim(elem, broadcastable)
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dims.append(elem)
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dims.append(elem)
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if _array_name_format == "dtype_and_shape":
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if _array_name_format == "dtype_and_shape":
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name = f"{cls.__name__}[{array_type.__name__}, '{dim_str}']"
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# In python 3.8, e.g., typing.Union lacks `__name__`.
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try:
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type_str = array_type.__name__
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except AttributeError:
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type_str = repr(array_type)
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name = f"{cls.__name__}[{type_str}, '{dim_str}']"
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elif _array_name_format == "array":
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elif _array_name_format == "array":
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name = array_type.__name__
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name = array_type.__name__
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else:
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else:
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@@ -65,7 +65,9 @@ def _call_with_frames_removed(f, *args, **kwargs):
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def _optimized_cache_from_source(path, debug_override=None):
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def _optimized_cache_from_source(path, debug_override=None):
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return cache_from_source(path, debug_override, optimization="jaxtyping")
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# Version 2: change the position of the `@jaxtyped` decorator, so need a
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# different name to avoid hitting old __pycache__
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return cache_from_source(path, debug_override, optimization="jaxtyping2")
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class _JaxtypingTransformer(ast.NodeVisitor):
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class _JaxtypingTransformer(ast.NodeVisitor):
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@@ -99,10 +101,16 @@ class _JaxtypingTransformer(ast.NodeVisitor):
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has_annotated_args = any(arg for arg in node.args.args if arg.annotation)
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has_annotated_args = any(arg for arg in node.args.args if arg.annotation)
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has_annotated_return = bool(node.returns)
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has_annotated_return = bool(node.returns)
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if has_annotated_args or has_annotated_return:
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if has_annotated_args or has_annotated_return:
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# Place at the start of the decorator list, in case a typechecking
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# Place at the end of the decorator list, as otherwise we wrap e.g.
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# annotation has been manually applied; we need to be above that.
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# `jax.custom_{jvp,vjp}` and lose the ability to `defjvp` etc.
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node.decorator_list.insert(
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#
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0,
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# Note that the counter-argument here is that we'd like to place this
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# at the start of the decorator list, in case a typechecking annotation
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# has been manually applied, and we'd need to be above that. In this
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# case we're just going to have to need to ask the user to remove their
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# typechecking annotation (and let this decorator do it instead).
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# It's more important we be compatible with normal JAX code.
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node.decorator_list.append(
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ast.Attribute(
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ast.Attribute(
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ast.Name(id="jaxtyping", ctx=ast.Load()), "jaxtyped", ast.Load()
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ast.Name(id="jaxtyping", ctx=ast.Load()), "jaxtyped", ast.Load()
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),
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),
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@@ -230,8 +238,16 @@ def install_import_hook(
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- `typechecker`: the module and function of the typechecker you want to use, as a
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- `typechecker`: the module and function of the typechecker you want to use, as a
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2-tuple of strings. For example `typechecker=("typeguard", "typechecked")` or
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2-tuple of strings. For example `typechecker=("typeguard", "typechecked")` or
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`typechecker=("beartype", "beartype")`. You may pass `typechecker=None` if you
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`typechecker=("beartype", "beartype")`. You may pass `typechecker=None` if you
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do not want to automatically decorate with a typechecker as well; e.g. if you
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do not want to automatically decorate with a typechecker as well.
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have a codebase that already has these decorators.
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If the function already has any decorators on it, then both the `@jaxtyped` and the
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typechecker decorators will go at the bottom of the decorator list, e.g.
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```python
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@some_other_decorator
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@jaxtyped
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@beartype.beartype
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def foo(...): ...
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```
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**Returns:**
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**Returns:**
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@@ -243,8 +259,8 @@ def install_import_hook(
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```python
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```python
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# entry_point.py
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# entry_point.py
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from jaxtyped import install_import_hook
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from jaxtyped import install_import_hook
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install_import_hook("main", ("beartype", "beartype"))
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with install_import_hook("main", ("beartype", "beartype"))
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import main
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import main
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... # do whatever you're doing
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... # do whatever you're doing
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# main.py
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# main.py
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