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Fix some RUF012 per file ignores (#11399)

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* updating DIRECTORY.md

* Fix some RUF012 per file ignores

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* Fix

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* Fix

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---------

Co-authored-by: MaximSmolskiy <MaximSmolskiy@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Maxim Smolskiy 2025-03-11 17:29:13 +03:00 committed by GitHub
parent 23eb174629
commit 7ce998b91c
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GPG Key ID: B5690EEEBB952194
3 changed files with 22 additions and 21 deletions
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20
other/lfu_cache.py
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@ -196,9 +196,6 @@ class LFUCache(Generic[T, U]):
CacheInfo(hits=196, misses=100, capacity=100, current_size=100)
"""
# class variable to map the decorator functions to their respective instance
decorator_function_to_instance_map: dict[Callable[[T], U], LFUCache[T, U]] = {}
def __init__(self, capacity: int):
self.list: DoubleLinkedList[T, U] = DoubleLinkedList()
self.capacity = capacity
@ -291,18 +288,23 @@ class LFUCache(Generic[T, U]):
"""
def cache_decorator_inner(func: Callable[[T], U]) -> Callable[..., U]:
def cache_decorator_wrapper(*args: T) -> U:
if func not in cls.decorator_function_to_instance_map:
cls.decorator_function_to_instance_map[func] = LFUCache(size)
# variable to map the decorator functions to their respective instance
decorator_function_to_instance_map: dict[
Callable[[T], U], LFUCache[T, U]
] = {}
result = cls.decorator_function_to_instance_map[func].get(args[0])
def cache_decorator_wrapper(*args: T) -> U:
if func not in decorator_function_to_instance_map:
decorator_function_to_instance_map[func] = LFUCache(size)
result = decorator_function_to_instance_map[func].get(args[0])
if result is None:
result = func(*args)
cls.decorator_function_to_instance_map[func].put(args[0], result)
decorator_function_to_instance_map[func].put(args[0], result)
return result
def cache_info() -> LFUCache[T, U]:
return cls.decorator_function_to_instance_map[func]
return decorator_function_to_instance_map[func]
setattr(cache_decorator_wrapper, "cache_info", cache_info) # noqa: B010

20
other/lru_cache.py
View File

@ -209,9 +209,6 @@ class LRUCache(Generic[T, U]):
CacheInfo(hits=194, misses=99, capacity=100, current size=99)
"""
# class variable to map the decorator functions to their respective instance
decorator_function_to_instance_map: dict[Callable[[T], U], LRUCache[T, U]] = {}
def __init__(self, capacity: int):
self.list: DoubleLinkedList[T, U] = DoubleLinkedList()
self.capacity = capacity
@ -308,18 +305,23 @@ class LRUCache(Generic[T, U]):
"""
def cache_decorator_inner(func: Callable[[T], U]) -> Callable[..., U]:
def cache_decorator_wrapper(*args: T) -> U:
if func not in cls.decorator_function_to_instance_map:
cls.decorator_function_to_instance_map[func] = LRUCache(size)
# variable to map the decorator functions to their respective instance
decorator_function_to_instance_map: dict[
Callable[[T], U], LRUCache[T, U]
] = {}
result = cls.decorator_function_to_instance_map[func].get(args[0])
def cache_decorator_wrapper(*args: T) -> U:
if func not in decorator_function_to_instance_map:
decorator_function_to_instance_map[func] = LRUCache(size)
result = decorator_function_to_instance_map[func].get(args[0])
if result is None:
result = func(*args)
cls.decorator_function_to_instance_map[func].put(args[0], result)
decorator_function_to_instance_map[func].put(args[0], result)
return result
def cache_info() -> LRUCache[T, U]:
return cls.decorator_function_to_instance_map[func]
return decorator_function_to_instance_map[func]
setattr(cache_decorator_wrapper, "cache_info", cache_info) # noqa: B010

3
pyproject.toml
View File

@ -135,9 +135,6 @@ lint.per-file-ignores."machine_learning/sequential_minimum_optimization.py" = [
lint.per-file-ignores."matrix/sherman_morrison.py" = [
"SIM103",
]
lint.per-file-ignores."other/l*u_cache.py" = [
"RUF012",
]
lint.per-file-ignores."physics/newtons_second_law_of_motion.py" = [
"BLE001",
]