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Handle None default args in Cython methods
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9353a82076
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@ -11,6 +11,7 @@ import inspect
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from .attrs import NAMES
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from .lookups import Lookups
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from .util import is_cython_func
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if TYPE_CHECKING:
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# This lets us add type hints for mypy etc. without causing circular imports
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@ -93,8 +94,11 @@ def get_arg_model(
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continue
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# If no annotation is specified assume it's anything
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annotation = param.annotation if param.annotation != param.empty else Any
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# If no default value is specified assume that it's required
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default = param.default if param.default != param.empty else ...
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# If no default value is specified assume that it's required. Cython
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# functions/methods will have param.empty for default value None so we
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# need to treat them differently
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default_empty = None if is_cython_func(func) else ...
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default = param.default if param.default != param.empty else default_empty
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sig_args[param.name] = (annotation, default)
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is_strict = strict and not has_variable
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sig_args["__config__"] = ArgSchemaConfig if is_strict else ArgSchemaConfigExtra
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@ -1310,3 +1310,21 @@ def minibatch(items, size):
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if len(batch) == 0:
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break
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yield list(batch)
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def is_cython_func(func: Callable) -> bool:
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"""Slightly hacky check for whether a callable is implemented in Cython.
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Can be used to implement slightly different behaviors, especially around
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inspecting and parameter annotations.
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func (Callable): The callable to check.
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RETURNS (bool): Whether the callable is Cython (probably).
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"""
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attr = "__reduce_cython__"
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if hasattr(func, attr): # function or class instance
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return True
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# https://stackoverflow.com/a/55767059
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if hasattr(func, "__qualname__") and hasattr(func, "__module__"): # method
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cls_func = vars(sys.modules[func.__module__])[func.__qualname__.split(".")[0]]
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return hasattr(cls_func, attr)
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return False
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