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Write union types as X | Y where possible (#19111)
aka PEP 604, added in Python 3.10
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@@ -24,7 +24,7 @@ can crop up, e.g the cache descriptors.
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"""
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import enum
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from typing import Callable, Mapping, Optional, Union
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from typing import Callable, Mapping
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import attr
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import mypy.types
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@@ -123,7 +123,7 @@ class ArgLocation:
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"""
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prometheus_metric_fullname_to_label_arg_map: Mapping[str, Optional[ArgLocation]] = {
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prometheus_metric_fullname_to_label_arg_map: Mapping[str, ArgLocation | None] = {
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# `Collector` subclasses:
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"prometheus_client.metrics.MetricWrapperBase": ArgLocation("labelnames", 2),
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"prometheus_client.metrics.Counter": ArgLocation("labelnames", 2),
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@@ -211,7 +211,7 @@ class SynapsePlugin(Plugin):
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def get_base_class_hook(
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self, fullname: str
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) -> Optional[Callable[[ClassDefContext], None]]:
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) -> Callable[[ClassDefContext], None] | None:
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def _get_base_class_hook(ctx: ClassDefContext) -> None:
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# Run any `get_base_class_hook` checks from other plugins first.
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#
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@@ -232,7 +232,7 @@ class SynapsePlugin(Plugin):
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def get_function_signature_hook(
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self, fullname: str
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) -> Optional[Callable[[FunctionSigContext], FunctionLike]]:
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) -> Callable[[FunctionSigContext], FunctionLike] | None:
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# Strip off the unique identifier for classes that are dynamically created inside
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# functions. ex. `synapse.metrics.jemalloc.JemallocCollector@185` (this is the line
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# number)
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@@ -262,7 +262,7 @@ class SynapsePlugin(Plugin):
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def get_method_signature_hook(
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self, fullname: str
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) -> Optional[Callable[[MethodSigContext], CallableType]]:
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) -> Callable[[MethodSigContext], CallableType] | None:
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if fullname.startswith(
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(
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"synapse.util.caches.descriptors.CachedFunction.__call__",
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@@ -721,7 +721,7 @@ def check_is_cacheable_wrapper(ctx: MethodSigContext) -> CallableType:
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def check_is_cacheable(
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signature: CallableType,
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ctx: Union[MethodSigContext, FunctionSigContext],
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ctx: MethodSigContext | FunctionSigContext,
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) -> None:
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"""
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Check if a callable returns a type which can be cached.
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@@ -795,7 +795,7 @@ AT_CACHED_MUTABLE_RETURN = ErrorCode(
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def is_cacheable(
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rt: mypy.types.Type, signature: CallableType, verbose: bool
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) -> tuple[bool, Optional[str]]:
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) -> tuple[bool, str | None]:
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"""
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Check if a particular type is cachable.
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