Update JAX import paths for compatibility with version 0.5.0 and upda…

README.md

@@ -27,6 +27,8 @@ BrainPy is a flexible, efficient, and extensible framework for computational neu
 
 BrainPy is based on Python (>=3.8) and can be installed on Linux (Ubuntu 16.04 or later), macOS (10.12 or later), and Windows platforms. 
 
+BrainPy requires ``jax<0.6.0``. 
+
 For detailed installation instructions, please refer to the documentation: [Quickstart/Installation](https://brainpy.readthedocs.io/en/latest/quickstart/installation.html)
 
 

brainpy/_src/integrators/_jaxpr_to_source_code.py

@@ -25,7 +25,10 @@
 import jax.numpy as jnp
 import numpy as np
 from jax._src.sharding_impls import UNSPECIFIED
-from jax.core import Literal, Var, Jaxpr
+if jax.__version__ >= '0.5.0':
+  from jax.extend.core import Primitive, Literal, Var, Jaxpr
+else:
+  from jax.core import Primitive, Literal, Var, Jaxpr
 
 __all__ = [
   'fn_to_python_code',
@@ -187,7 +190,7 @@ def fn_to_python_code(fn, *args, **kwargs):
   return source
 
 
-def jaxpr_to_python_code(jaxpr: jax.core.Jaxpr,
+def jaxpr_to_python_code(jaxpr: Jaxpr,
                          fn_name: str = "generated_function"):
   """
   Given a JAX jaxpr, return the Python code that would be generated by JAX for that jaxpr.
@@ -367,7 +370,7 @@ def _maybe_wrap_fn_for_leaves(node, f, num_args):
 
 
 def jaxpr_to_py_ast(state: SourcerorState,
-                    jaxpr: jax.core.Jaxpr,
+                    jaxpr: Jaxpr,
                     fn_name: str = "function"):
   # Generate argument declarations
   ast_args = [ast.arg(arg=state.str_name(var), annotation=None)
@@ -405,7 +408,7 @@ def jaxpr_to_py_ast(state: SourcerorState,
   return ast.FunctionDef(name=fn_name, args=ast_args, body=stmts, decorator_list=[])
 
 
-def constant_fold_jaxpr(jaxpr: jax.core.Jaxpr):
+def constant_fold_jaxpr(jaxpr: Jaxpr):
   """
   Given a jaxpr, return a new jaxpr with all constant folding done.
   """

brainpy/_src/math/remove_vmap.py

@@ -2,7 +2,12 @@
 
 
 import jax.numpy as jnp
-from jax.core import Primitive, ShapedArray
+import jax
+if jax.__version__ >= '0.5.0':
+  from jax.extend.core import Primitive
+else:
+  from jax.core import Primitive
+from jax.core import ShapedArray
 from jax.interpreters import batching, mlir, xla
 from .ndarray import Array
 

brainpy/_src/math/sparse/utils.py

@@ -4,6 +4,8 @@
 from functools import partial
 from typing import Tuple
 
+
+import jax
 import numpy as np
 from brainpy._src.math.interoperability import as_jax
 from jax import core, numpy as jnp
@@ -12,6 +14,10 @@
 from jax.interpreters import mlir, ad
 from jax.tree_util import tree_flatten, tree_unflatten
 from jaxlib import gpu_sparse
+if jax.__version__ >= '0.5.0':
+  from jax.extend.core import Primitive
+else:
+  from jax.core import Primitive
 
 __all__ = [
   'coo_to_csr',
@@ -171,7 +177,7 @@ def _csr_to_dense_transpose(ct, data, indices, indptr, *, shape):
   return _csr_extract(indices, indptr, ct), indices, indptr
 
 
-csr_to_dense_p = core.Primitive('csr_to_dense')
+csr_to_dense_p = Primitive('csr_to_dense')
 csr_to_dense_p.def_impl(_csr_to_dense_impl)
 csr_to_dense_p.def_abstract_eval(_csr_to_dense_abstract_eval)
 ad.defjvp(csr_to_dense_p, _csr_to_dense_jvp, None, None)

brainpy/_src/math/surrogate/_one_input_new.py

@@ -5,7 +5,11 @@
 import jax
 import jax.numpy as jnp
 import jax.scipy as sci
-from jax.core import Primitive
+
+if jax.__version__ >= '0.5.0':
+  from jax.extend.core import Primitive
+else:
+  from jax.core import Primitive
 from jax.interpreters import batching, ad, mlir
 
 from brainpy._src.math.interoperability import as_jax

requirements-dev.txt

@@ -1,6 +1,6 @@
 numpy
-jax
-jaxlib
+jax<0.6.0
+jaxlib<0.6.0
 absl-py<=2.1.0
 brainstate<=0.1.0.post20241210
 braintaichi<=0.0.4

requirements-doc.txt

@@ -1,6 +1,6 @@
 tqdm
-jax
-jaxlib
+jax<0.6.0
+jaxlib<0.6.0
 matplotlib
 numpy
 scipy

requirements.txt

@@ -1,3 +1,3 @@
 numpy
-jax
+jax<0.6.0
 tqdm

setup.py

@@ -57,7 +57,7 @@
   author_email='[email protected]',
   packages=packages,
   python_requires='>=3.9',
-  install_requires=['numpy>=1.15', 'jax>=0.4.13', 'tqdm'],
+  install_requires=['numpy>=1.15', 'jax>=0.4.13,<0.6.0', 'tqdm'],
   url='https://github.com/brainpy/BrainPy',
   project_urls={
     "Bug Tracker": "https://github.com/brainpy/BrainPy/issues",