-
tensorstore.KvStore.spec(self, *, retain_context: bool | None =
None
, unbind_context: bool | None =None
) KvStore.Spec Spec that may be used to re-open or re-create the key-value store.
Example
>>> kvstore = await ts.KvStore.open({'driver': 'memory', 'path': 'abc/'}) >>> kvstore.spec() KvStore.Spec({'driver': 'memory', 'path': 'abc/'}) >>> kvstore.spec(unbind_context=True) KvStore.Spec({'context': {'memory_key_value_store': {}}, 'driver': 'memory', 'path': 'abc/'}) >>> kvstore.spec(retain_context=True) KvStore.Spec({ 'context': {'memory_key_value_store': {}}, 'driver': 'memory', 'memory_key_value_store': ['memory_key_value_store'], 'path': 'abc/', })
- Parameters:¶
- retain_context: bool | None =
None
¶ Retain all bound context resources (e.g. specific concurrency pools, specific cache pools).
The resultant
Spec
may be used to re-open theKvStore
using the identical context resources.Specifying a value of
False
has no effect.- unbind_context: bool | None =
None
¶ Convert any bound context resources to context resource specs that fully capture the graph of shared context resources and interdependencies.
Re-binding/re-opening the resultant spec will result in a new graph of new context resources that is isomorphic to the original graph of context resources. The resultant spec will not refer to any external context resources; consequently, binding it to any specific context will have the same effect as binding it to a default context.
Specifying a value of
False
has no effect.
- retain_context: bool | None =