Fix default math parameter setting bug

brainpy/_src/deprecations.py

@@ -41,7 +41,6 @@ def f_input_or_monitor():
 '''
 
 
-
 def _deprecate(msg):
   warnings.simplefilter('always', DeprecationWarning)  # turn off filter
   warnings.warn(msg, category=DeprecationWarning, stacklevel=2)
@@ -61,25 +60,25 @@ def new_func(*args, **kwargs):
   return new_func
 
 
-def deprecation_getattr(module, deprecations, redirects=None):
+def deprecation_getattr(module, deprecations, redirects=None, redirect_module=None):
   redirects = redirects or {}
 
-  def getattr(name):
+  def get_attr(name):
     if name in deprecations:
       message, fn = deprecations[name]
       if fn is None:
         raise AttributeError(message)
       _deprecate(message)
       return fn
     if name in redirects:
-      return redirects[name]
+      return getattr(redirect_module, name)
     raise AttributeError(f"module {module!r} has no attribute {name!r}")
 
-  return getattr
+  return get_attr
 
 
 def deprecation_getattr2(module, deprecations):
-  def getattr(name):
+  def get_attr(name):
     if name in deprecations:
       old_name, new_name, fn = deprecations[name]
       message = f"{old_name} is deprecated. "
@@ -91,4 +90,4 @@ def getattr(name):
       return fn
     raise AttributeError(f"module {module!r} has no attribute {name!r}")
 
-  return getattr
+  return get_attr

brainpy/_src/math/defaults.py

@@ -36,13 +36,3 @@
 # '''Default complex data type.'''
 complex_ = jnp.complex128 if config.read('jax_enable_x64') else jnp.complex64
 
-# redirects
-redirects = {'mode': mode,
-             'membrane_scaling': membrane_scaling,
-             'dt': dt,
-             'bool_': bool_,
-             'int_': int_,
-             'ti_int': ti_int,
-             'float_': float_,
-             'ti_float': ti_float,
-             'complex_': complex_}

brainpy/_src/math/tests/test_defaults.py

@@ -0,0 +1,36 @@
+import unittest
+
+import brainpy.math as bm
+
+
+class TestDefaults(unittest.TestCase):
+  def test_dt(self):
+    with bm.environment(dt=1.0):
+      self.assertEqual(bm.dt, 1.0)
+      self.assertEqual(bm.get_dt(), 1.0)
+
+  def test_bool(self):
+    with bm.environment(bool_=bm.int32):
+      self.assertTrue(bm.bool_ == bm.int32)
+      self.assertTrue(bm.get_bool() == bm.int32)
+
+  def test_int(self):
+    with bm.environment(int_=bm.int32):
+      self.assertTrue(bm.int == bm.int32)
+      self.assertTrue(bm.get_int() == bm.int32)
+
+  def test_float(self):
+    with bm.environment(float_=bm.float32):
+      self.assertTrue(bm.float_ == bm.float32)
+      self.assertTrue(bm.get_float() == bm.float32)
+
+  def test_complex(self):
+    with bm.environment(complex_=bm.complex64):
+      self.assertTrue(bm.complex_ == bm.complex64)
+      self.assertTrue(bm.get_complex() == bm.complex64)
+
+  def test_mode(self):
+    mode = bm.TrainingMode()
+    with bm.environment(mode=mode):
+      self.assertTrue(bm.mode == mode)
+      self.assertTrue(bm.get_mode() == mode)

brainpy/math/__init__.py

@@ -97,5 +97,6 @@
                  "Use brainpy.math.event.info instead.",
                  event.info),
 }
-__getattr__ = deprecation_getattr(__name__, __deprecations, defaults.redirects)
+
+__getattr__ = deprecation_getattr(__name__, __deprecations, redirects=defaults.__all__, redirect_module=defaults)
 del deprecation_getattr, defaults

docs/apis/brainpy.math.defaults.rst

@@ -0,0 +1,22 @@
+
+Default Math Parameters
+=======================
+
+.. currentmodule:: brainpy.math
+.. automodule:: brainpy.math
+
+.. autosummary::
+   :toctree: generated/
+   :nosignatures:
+
+   mode
+   membrane_scaling
+   dt
+   bool_
+   int_
+   ti_int
+   float_
+   ti_float
+   complex_
+
+

docs/apis/brainpy.math.op_register.rst

@@ -6,6 +6,22 @@ Operator Registration
    :depth: 1
 
 
+
+General Operator Customization Interface
+----------------------------------------
+
+.. currentmodule:: brainpy.math
+.. automodule:: brainpy.math
+
+.. autosummary::
+   :toctree: generated/
+   :nosignatures:
+   :template: classtemplate.rst
+
+   XLACustomOp
+
+
+
 CPU Operator Customization with Numba
 -------------------------------------
 

docs/apis/math.rst

@@ -24,6 +24,7 @@ dynamics programming. For more information and usage examples, please refer to t
    :maxdepth: 1
 
    brainpy.math.rst
+   brainpy.math.defaults.rst
    brainpy.math.delayvars.rst
    brainpy.math.oo_transform.rst
    brainpy.math.pre_syn_post.rst