(?it=expr)
is a new atomic expression for an "it reference binding"- subsequent subexpressions (in execution order) can reference the bound subexpression using
?it
(an "it reference") ?it
is reset between statements, including before entering the suite within a compound statement (if you want a persistent binding, use a named variable)
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>>> class C: | |
... def example(self): pass | |
... | |
>>> import pickle | |
>>> data = pickle.dumps(C.example) | |
>>> pickle.loads(C.example) | |
Traceback (most recent call last): | |
File "<stdin>", line 1, in <module> | |
TypeError: a bytes-like object is required, not 'function' | |
>>> pickle.loads(data) |
(I wanted an initial prompt to check if LM Studio would run this model on my machine, and finding out more about it seemed like a reasonable place to start)
Tell me about your training environment and the resulting limitations on your capabilities.
Okay, let's break down my training and its impact on what I can (and can't) do. I'm Gemma, an open-weights AI assistant created by the Gemma team at Google DeepMind. Here's a detailed look:
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