Initial import: grid-bot — grid trading bot for BTC-USDT on Cifra Markets
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"""
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APIs related to torch.compile which lazily import torch._dynamo to avoid
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circular dependencies.
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"""
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import functools
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from collections.abc import Callable
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from typing import overload, TypeVar
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from typing_extensions import ParamSpec
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_T = TypeVar("_T")
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_P = ParamSpec("_P")
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@overload
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def _disable_dynamo(
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fn: Callable[_P, _T], recursive: bool = True
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) -> Callable[_P, _T]: ...
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@overload
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def _disable_dynamo(
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fn: None = None, recursive: bool = True
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) -> Callable[[Callable[_P, _T]], Callable[_P, _T]]: ...
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def _disable_dynamo(
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fn: Callable[_P, _T] | None = None, recursive: bool = True
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) -> Callable[_P, _T] | Callable[[Callable[_P, _T]], Callable[_P, _T]]:
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"""
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This API should be only used inside torch, external users should still use
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torch._dynamo.disable. The main goal of this API is to avoid circular
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imports issues that is common while using _dynamo.disable inside torch
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itself.
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This API avoids it by lazily importing torch._dynamo from the import time to
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the invocation of the decorated function.
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"""
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if fn is not None:
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@functools.wraps(fn)
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def inner(*args: _P.args, **kwargs: _P.kwargs) -> _T:
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# cache this on the first invocation to avoid adding too much overhead.
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disable_fn = getattr(fn, "__dynamo_disable", None)
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if disable_fn is None:
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import torch._dynamo
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# We can safely turn off functools.wraps here because the inner
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# already wraps fn in the outer scope.
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disable_fn = torch._dynamo.disable(fn, recursive, wrapping=False)
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fn.__dynamo_disable = disable_fn # type: ignore[attr-defined]
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return disable_fn(*args, **kwargs)
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return inner
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else:
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# decorator usage like @_disable_dynamo(recursive=False). The resulting
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# object expects the original decorated function as the arg.
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return functools.partial(_disable_dynamo, recursive=recursive)
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