| Şuanki Dizin: /proc/self/root/usr/lib/python3.9/site-packages/jinja2/__pycache__/ |
| Şuanki Dosya : //proc/self/root/usr/lib/python3.9/site-packages/jinja2/__pycache__/bccache.cpython-39.pyc |
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Zde�ed�e�ejdd>ejdBd�ZGdd�de�ZGdd�de�ZGdd�de�ZGdd�de�ZdS)a The optional bytecode cache system. This is useful if you have very
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�Z dS)�BucketauBuckets are used to store the bytecode for one template. It's created
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A very basic bytecode cache that saves the bytecode on the file system::
from os import path
class MyCache(BytecodeCache):
def __init__(self, directory):
self.directory = directory
def load_bytecode(self, bucket):
filename = path.join(self.directory, bucket.key)
if path.exists(filename):
with open(filename, 'rb') as f:
bucket.load_bytecode(f)
def dump_bytecode(self, bucket):
filename = path.join(self.directory, bucket.key)
with open(filename, 'wb') as f:
bucket.write_bytecode(f)
A more advanced version of a filesystem based bytecode cache is part of
Jinja.
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�Zdd�Z dS)�FileSystemBytecodeCachea�A bytecode cache that stores bytecode on the filesystem. It accepts
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pattern string that is used to build the filename.
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Windows the user's temp directory is used, on UNIX systems a directory
is created for the user in the system temp directory.
The pattern can be used to have multiple separate caches operate on the
same directory. The default pattern is ``'__jinja2_%s.cache'``. ``%s``
is replaced with the cache key.
>>> bcc = FileSystemBytecodeCache('/tmp/jinja_cache', '%s.cache')
This bytecode cache supports clearing of the cache using the clear method.
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�ZdS) �MemcachedBytecodeCachea+This class implements a bytecode cache that uses a memcache cache for
storing the information. It does not enforce a specific memcache library
(tummy's memcache or cmemcache) but will accept any class that provides
the minimal interface required.
Libraries compatible with this class:
- `cachelib <https://github.com/pallets/cachelib>`_
- `python-memcached <https://pypi.org/project/python-memcached/>`_
(Unfortunately the django cache interface is not compatible because it
does not support storing binary data, only unicode. You can however pass
the underlying cache client to the bytecode cache which is available
as `django.core.cache.cache._client`.)
The minimal interface for the client passed to the constructor is this:
.. class:: MinimalClientInterface
.. method:: set(key, value[, timeout])
Stores the bytecode in the cache. `value` is a string and
`timeout` the timeout of the key. If timeout is not provided
a default timeout or no timeout should be assumed, if it's
provided it's an integer with the number of seconds the cache
item should exist.
.. method:: get(key)
Returns the value for the cache key. If the item does not
exist in the cache the return value must be `None`.
The other arguments to the constructor are the prefix for all keys that
is added before the actual cache key and the timeout for the bytecode in
the cache system. We recommend a high (or no) timeout.
This bytecode cache does not support clearing of used items in the cache.
The clear method is a no-operation function.
.. versionadded:: 2.7
Added support for ignoring memcache errors through the
`ignore_memcache_errors` parameter.
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