execution order of trait observers

its not clear to me in what order the trait observers get executed and why?
can anyone shed light on this?

```py
class Test(tr.HasTraits):
a = tr.Bool(default_value=True)
b = tr.Bool(default_value=True)
c = tr.Bool(default_value=True)

@tr.observe("a")
def _a(self, on_change):
print(f"a = {self.a}")

@tr.observe("b")
def _b(self, on_change):
print(f"b = {self.b}")

@tr.observe("c")
def _c(self, on_change):
print(f"c = {self.c}")

def __init__(self, **kwargs):
super().__init__(**kwargs)

t1 = Test(a=False, b=False, c=False)
print("---")
t2 = Test(c=False, b=False, a=False)

# b = False
# c = False
# a = False
# ---
# b = False
# c = False
# a = False
```

many thanks

Start with the Test example and its tr.observe handlers, then inspect how trait initialization processes the keyword arguments and dispatches observers. Done means documenting the actual execution-order rule and why both argument orders produce the shown output.

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