Update pytypes.

PiperOrigin-RevId: 513161806

Author: hbq1

chex/_src/pytypes.py

@@ -14,37 +14,31 @@
 # ==============================================================================
 """Type definitions to use for type annotations."""
 
-from typing import Any, Iterable, Mapping, Union
+from typing import Any, TypeAlias, Union
 import jax
 import jax.numpy as jnp
 import numpy as np
 
 # Special types of arrays.
-ArrayBatched = jax.interpreters.batching.BatchTracer
-ArrayNumpy = np.ndarray
-ArraySharded = jax.interpreters.pxla.ShardedDeviceArray
+ArrayBatched: TypeAlias = jax.interpreters.batching.BatchTracer
+ArrayNumpy: TypeAlias = np.ndarray
+ArraySharded: TypeAlias = jax.interpreters.pxla.ShardedDeviceArray
 # For instance checking, use `isinstance(x, jax.Array)`.
-if hasattr(jax, 'Array'):
-  ArrayDevice = jax.Array  # jax >= 0.3.20
-elif hasattr(jax.interpreters.xla, '_DeviceArray'):  # 0.2.5 < jax < 0.3.20
-  ArrayDevice = jax.interpreters.xla._DeviceArray  # pylint:disable=protected-access
-else:  # jax <= 0.2.5
-  ArrayDevice = jax.interpreters.xla.DeviceArray
+ArrayDevice: TypeAlias = jax.Array  # jax >= 0.3.20
 
 # Generic array type.
-Array = Union[ArrayDevice, ArrayNumpy, ArrayBatched, ArraySharded]
+Array = Union[jax.Array, np.ndarray]
+ArrayLike: TypeAlias = jax.typing.ArrayLike
 
 # A tree of generic arrays.
-ArrayTree = Union[Array, Iterable['ArrayTree'], Mapping[Any, 'ArrayTree']]
+ArrayTree = Any
+# Union[Array, Iterable['ArrayTree'], Mapping[Any, 'ArrayTree']]
 
 # Other types.
 Scalar = Union[float, int]
 Numeric = Union[Array, Scalar]
-Shape = jax.core.Shape
-PRNGKey = jax.random.KeyArray
-PyTreeDef = type(jax.tree_util.tree_structure(None))
-if hasattr(jax, 'Device'):
-  Device = jax.Device  # jax >= 0.4.3
-else:
-  Device = jax.lib.xla_extension.Device
+Shape: TypeAlias = jax.core.Shape
+PRNGKey: TypeAlias = jax.random.KeyArray
+PyTreeDef: TypeAlias = jax.tree_util.PyTreeDef
+Device: TypeAlias = jax.Device  # jax >= 0.4.3
 ArrayDType = type(jnp.float32)