Add numpy func compatibility and documentation, Fix bugs

brainunit/__init__.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 # ==============================================================================
 
+__version__ = "0.0.1"
 
 from ._base import *
 from ._base import __all__ as _base_all

brainunit/_unit_test.py

@@ -881,7 +881,7 @@ def test_unit_discarding_functions():
   """
   Test functions that discard units.
   """
-  from brainunit import ones_like, zeros_like
+  from brainunit.math import ones_like, zeros_like
 
   values = [3 * mV, np.array([1, 2]) * mV, np.arange(12).reshape(3, 4) * mV]
   for value in values:
@@ -897,7 +897,7 @@ def test_unitsafe_functions():
   """
   Test the unitsafe functions wrapping their numpy counterparts.
   """
-  from braincore.math import (
+  from brainunit.math import (
     arccos,
     arccosh,
     arcsin,
@@ -966,7 +966,7 @@ def test_special_case_numpy_functions():
   """
   Test a couple of functions/methods that need special treatment.
   """
-  from braincore.math import diagonal, dot, ravel, trace, where
+  from brainunit.math import diagonal, dot, ravel, trace, where
 
   quadratic_matrix = np.reshape(np.arange(9), (3, 3)) * mV
 

brainunit/math/__init__.py

@@ -0,0 +1,19 @@
+# Copyright 2024 BDP Ecosystem Limited. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+
+from ._compat_numpy import *
+from ._compat_numpy import __all__ as _compat_numpy_all
+
+__all__ = _compat_numpy_all