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185
.env/lib/python3.10/site-packages/cachelib/base.py
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185
.env/lib/python3.10/site-packages/cachelib/base.py
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import typing as _t
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class BaseCache:
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"""Baseclass for the cache systems. All the cache systems implement this
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API or a superset of it.
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:param default_timeout: the default timeout (in seconds) that is used if
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no timeout is specified on :meth:`set`. A timeout
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of 0 indicates that the cache never expires.
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"""
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def __init__(self, default_timeout: int = 300):
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self.default_timeout = default_timeout
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def _normalize_timeout(self, timeout: _t.Optional[int]) -> int:
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if timeout is None:
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timeout = self.default_timeout
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return timeout
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def get(self, key: str) -> _t.Any:
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"""Look up key in the cache and return the value for it.
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:param key: the key to be looked up.
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:returns: The value if it exists and is readable, else ``None``.
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"""
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return None
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def delete(self, key: str) -> bool:
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"""Delete `key` from the cache.
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:param key: the key to delete.
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:returns: Whether the key existed and has been deleted.
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:rtype: boolean
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"""
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return True
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def get_many(self, *keys: str) -> _t.List[_t.Any]:
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"""Returns a list of values for the given keys.
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For each key an item in the list is created::
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foo, bar = cache.get_many("foo", "bar")
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Has the same error handling as :meth:`get`.
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:param keys: The function accepts multiple keys as positional
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arguments.
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"""
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return [self.get(k) for k in keys]
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def get_dict(self, *keys: str) -> _t.Dict[str, _t.Any]:
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"""Like :meth:`get_many` but return a dict::
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d = cache.get_dict("foo", "bar")
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foo = d["foo"]
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bar = d["bar"]
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:param keys: The function accepts multiple keys as positional
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arguments.
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"""
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return dict(zip(keys, self.get_many(*keys))) # noqa: B905
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def set(
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self, key: str, value: _t.Any, timeout: _t.Optional[int] = None
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) -> _t.Optional[bool]:
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"""Add a new key/value to the cache (overwrites value, if key already
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exists in the cache).
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:param key: the key to set
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:param value: the value for the key
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:param timeout: the cache timeout for the key in seconds (if not
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specified, it uses the default timeout). A timeout of
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0 indicates that the cache never expires.
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:returns: ``True`` if key has been updated, ``False`` for backend
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errors. Pickling errors, however, will raise a subclass of
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``pickle.PickleError``.
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:rtype: boolean
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"""
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return True
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def add(self, key: str, value: _t.Any, timeout: _t.Optional[int] = None) -> bool:
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"""Works like :meth:`set` but does not overwrite the values of already
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existing keys.
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:param key: the key to set
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:param value: the value for the key
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:param timeout: the cache timeout for the key in seconds (if not
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specified, it uses the default timeout). A timeout of
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0 indicates that the cache never expires.
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:returns: Same as :meth:`set`, but also ``False`` for already
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existing keys.
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:rtype: boolean
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"""
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return True
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def set_many(
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self, mapping: _t.Dict[str, _t.Any], timeout: _t.Optional[int] = None
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) -> _t.List[_t.Any]:
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"""Sets multiple keys and values from a mapping.
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:param mapping: a mapping with the keys/values to set.
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:param timeout: the cache timeout for the key in seconds (if not
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specified, it uses the default timeout). A timeout of
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0 indicates that the cache never expires.
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:returns: A list containing all keys sucessfuly set
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:rtype: boolean
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"""
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set_keys = []
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for key, value in mapping.items():
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if self.set(key, value, timeout):
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set_keys.append(key)
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return set_keys
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def delete_many(self, *keys: str) -> _t.List[_t.Any]:
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"""Deletes multiple keys at once.
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:param keys: The function accepts multiple keys as positional
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arguments.
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:returns: A list containing all sucessfuly deleted keys
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:rtype: boolean
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"""
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deleted_keys = []
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for key in keys:
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if self.delete(key):
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deleted_keys.append(key)
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return deleted_keys
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def has(self, key: str) -> bool:
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"""Checks if a key exists in the cache without returning it. This is a
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cheap operation that bypasses loading the actual data on the backend.
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:param key: the key to check
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"""
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raise NotImplementedError(
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"%s doesn't have an efficient implementation of `has`. That "
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"means it is impossible to check whether a key exists without "
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"fully loading the key's data. Consider using `self.get` "
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"explicitly if you don't care about performance."
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)
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def clear(self) -> bool:
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"""Clears the cache. Keep in mind that not all caches support
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completely clearing the cache.
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:returns: Whether the cache has been cleared.
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:rtype: boolean
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"""
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return True
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def inc(self, key: str, delta: int = 1) -> _t.Optional[int]:
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"""Increments the value of a key by `delta`. If the key does
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not yet exist it is initialized with `delta`.
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For supporting caches this is an atomic operation.
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:param key: the key to increment.
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:param delta: the delta to add.
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:returns: The new value or ``None`` for backend errors.
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"""
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value = (self.get(key) or 0) + delta
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return value if self.set(key, value) else None
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def dec(self, key: str, delta: int = 1) -> _t.Optional[int]:
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"""Decrements the value of a key by `delta`. If the key does
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not yet exist it is initialized with `-delta`.
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For supporting caches this is an atomic operation.
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:param key: the key to increment.
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:param delta: the delta to subtract.
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:returns: The new value or `None` for backend errors.
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"""
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value = (self.get(key) or 0) - delta
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return value if self.set(key, value) else None
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class NullCache(BaseCache):
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"""A cache that doesn't cache. This can be useful for unit testing.
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:param default_timeout: a dummy parameter that is ignored but exists
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for API compatibility with other caches.
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"""
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def has(self, key: str) -> bool:
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return False
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