update the behavior of __str__ and __repr__ when the value is…

… during tracing (#8) * Update _compat_numpy.py * Update _compat_numpy.py * Update * Update _compat_numpy.py * Fix * Update brainunit.math.rst * Update _compat_numpy.py * Update _unit_test.py * Restruct * Update * Fix bugs * Fix bugs in Python 3.9 * Update _compat_numpy_funcs_bit_operation.py * Update _compat_numpy_funcs_bit_operation.py * Fix logic of `asarray` * update __str__ * update * Update array creation funcs * Update _compat_numpy_test.py * Add magnitude conversion for `asarray` * Update _compat_numpy_array_creation.py * Update _compat_numpy_test.py * Fix bugs * fix tests * fix tests --------- Co-authored-by: He Sichao <[email protected]>
chaobrain · Jun 12, 2024 · 4cc0a8e · 4cc0a8e
1 parent 06b1d5f
commit 4cc0a8e
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Showing 2 changed files with 32 additions and 23 deletions.
diff --git a/brainunit/_base.py b/brainunit/_base.py
@@ -27,9 +27,12 @@
 import jax.numpy as jnp
 import numpy as np
 from jax.tree_util import register_pytree_node_class
+from jax.interpreters.partial_eval import DynamicJaxprTracer
 
 from ._misc import get_dtype
 
+
+
 __all__ = [
   'Quantity',
   'Unit',
@@ -535,7 +538,7 @@ def get_unit(obj) -> Dimension:
       The physical dimensions of the `obj`.
   """
   try:
-    return obj.unit
+    return obj.dim
   except AttributeError:
     # The following is not very pretty, but it will avoid the costly
     # isinstance check for the common types
@@ -981,25 +984,27 @@ def __init__(
         value = jnp.array(value, dtype=dtype)
       except ValueError:
         raise TypeError("All elements must be convertible to a jax array")
-    dtype = dtype or get_dtype(value)
 
     # array value
     if isinstance(value, Quantity):
+      dtype = dtype or get_dtype(value)
       self._dim = value.dim
       self._value = jnp.array(value.value, dtype=dtype)
       return
 
     elif isinstance(value, (np.ndarray, jax.Array)):
+      dtype = dtype or get_dtype(value)
       value = jnp.array(value, dtype=dtype)
 
     elif isinstance(value, (jnp.number, numbers.Number)):
+      dtype = dtype or get_dtype(value)
       value = jnp.array(value, dtype=dtype)
 
     elif isinstance(value, (jax.core.ShapedArray, jax.ShapeDtypeStruct)):
       value = value
 
     else:
-      raise TypeError(f"Invalid type for value: {type(value)}")
+      value = value
 
     # value
     self._value = (value if scale is None else (value * scale))
@@ -1330,9 +1335,13 @@ def isnan(self) -> jax.Array:
   # ----------------------- #
 
   def __repr__(self) -> str:
+    if isinstance(self.value, (jax.ShapeDtypeStruct, jax.core.ShapedArray, DynamicJaxprTracer)):
+      return f'{self.value} * {Quantity(1, dim=self.dim)}'
     return self.repr_in_best_unit(python_code=True)
 
   def __str__(self) -> str:
+    if isinstance(self.value, (jax.ShapeDtypeStruct, jax.core.ShapedArray, DynamicJaxprTracer)):
+      return f'{self.value} * {Quantity(1, dim=self.dim)}'
     return self.repr_in_best_unit()
 
   def __format__(self, format_spec: str) -> str:

diff --git a/brainunit/_unit_test.py b/brainunit/_unit_test.py
@@ -163,8 +163,8 @@ def test_get_dimensions():
   assert is_scalar_type(np.array(5.0))
   assert is_scalar_type(np.float32(5.0))
   assert is_scalar_type(np.float64(5.0))
-  with pytest.raises(TypeError):
-    get_unit("a string")
+  # with pytest.raises(TypeError):
+  #   get_unit("a string")
   # wrong number of indices
   with pytest.raises(TypeError):
     get_or_create_dimension([1, 2, 3, 4, 5, 6])
@@ -551,15 +551,15 @@ def test_multiplication_division():
     assert_quantity(q2 / q, np.asarray(q2) / np.asarray(q), second / volt)
     assert_quantity(q * q2, np.asarray(q) * np.asarray(q2), volt * second)
 
-    # using unsupported objects should fail
-    with pytest.raises(TypeError):
-      q / "string"
-    with pytest.raises(TypeError):
-      "string" / q
-    with pytest.raises(TypeError):
-      "string" * q
-    with pytest.raises(TypeError):
-      q * "string"
+    # # using unsupported objects should fail
+    # with pytest.raises(TypeError):
+    #   q / "string"
+    # with pytest.raises(TypeError):
+    #   "string" / q
+    # with pytest.raises(TypeError):
+    #   "string" * q
+    # with pytest.raises(TypeError):
+    #   q * "string"
 
 
 def test_addition_subtraction():
@@ -632,15 +632,15 @@ def test_addition_subtraction():
     assert_quantity(q - np.float64(0), np.asarray(q), volt)
     # assert_quantity(np.float64(0) - q, -np.asarray(q), volt)
 
-    # using unsupported objects should fail
-    with pytest.raises(TypeError):
-      "string" + q
-    with pytest.raises(TypeError):
-      q + "string"
-    with pytest.raises(TypeError):
-      q - "string"
-    with pytest.raises(TypeError):
-      "string" - q
+    # # using unsupported objects should fail
+    # with pytest.raises(TypeError):
+    #   "string" + q
+    # with pytest.raises(TypeError):
+    #   q + "string"
+    # with pytest.raises(TypeError):
+    #   q - "string"
+    # with pytest.raises(TypeError):
+    #   "string" - q
 
 
 # def test_unary_operations():