Source code for deephyper.evaluator.storage._null_storage
from typing import Any, Dict, Hashable, List, Tuple
from deephyper.evaluator.storage._storage import Storage
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class NullStorage(Storage):
"""Storage client for "null" storage. This backend does not store any data."""
def __init__(self) -> None:
super().__init__()
self._job_counter = 0
self.connected = True
def _connect(self):
pass
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def create_new_search(self) -> Hashable:
"""Create a new search in the store and returns its identifier.
Returns:
Hashable: The identifier of the search.
"""
return "0"
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def create_new_job(self, search_id: Hashable) -> Hashable:
"""Creates a new job in the store and returns its identifier.
Args:
search_id (Hashable): The identifier of the search in which a new job
is created.
Returns:
Hashable: The created identifier of the job.
"""
partial_id = self._job_counter
partial_id = f"{partial_id}" # converting to str
job_id = f"{search_id}.{partial_id}"
self._job_counter += 1
return job_id
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def store_job(self, job_id: Hashable, key: Hashable, value: Any) -> None:
"""Stores the value corresponding to key for job_id.
Args:
job_id (Hashable): The identifier of the job.
key (Hashable): A key to use to store the value.
value (Any): The value to store.
"""
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def store_job_in(self, job_id: Hashable, args: Tuple = None, kwargs: Dict = None) -> None:
"""Stores the input arguments of the executed job.
Args:
job_id (Hashable): The identifier of the job.
args (Optional[Tuple], optional): The positional arguments. Defaults to None.
kwargs (Optional[Dict], optional): The keyword arguments. Defaults to None.
"""
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def store_job_out(self, job_id: Hashable, value: Any) -> None:
"""Stores the output value of the executed job.
Args:
job_id (Hashable): The identifier of the job.
value (Any): The value to store.
"""
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def load_all_search_ids(self) -> List[Hashable]:
"""Loads the identifiers of all recorded searches.
Returns:
List[Hashable]: A list of identifiers of all the recorded searches.
"""
return ["0"]
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def load_all_job_ids(self, search_id: Hashable) -> List[Hashable]:
"""Loads the identifiers of all recorded jobs in the search.
Args:
search_id (Hashable): The identifier of the search.
Returns:
List[Hashable]: A list of identifiers of all the jobs.
"""
return [f"0.{i}" for i in range(self._job_counter)]
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def load_search(self, search_id: Hashable) -> dict:
"""Loads the data of a search.
Args:
search_id (Hashable): The identifier of the search.
Returns:
dict: The corresponding data of the search.
"""
return None
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def load_job(self, job_id: Hashable) -> dict:
"""Loads the data of a job.
Args:
job_id (Hashable): The identifier of the job.
Returns:
dict: The corresponding data of the job.
"""
return None
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def store_search_value(self, search_id: Hashable, key: Hashable, value: Any) -> None:
"""Stores the value corresponding to key for search_id.
Args:
search_id (Hashable): The identifier of the job.
key (Hashable): A key to use to store the value.
value (Any): The value to store.
"""
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def load_search_value(self, search_id: Hashable, key: Hashable) -> Any:
"""Loads the value corresponding to key for search_id.
Args:
search_id (Hashable): The identifier of the job.
key (Hashable): A key to use to access the value.
"""
return None
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def load_out_from_all_jobs(self, search_id: Hashable) -> List[Any]:
"""Loads the output value from all jobs.
Args:
search_id (Hashable): The identifier of the search.
Returns:
List[Any]: A list of all the retrieved output values.
"""
return []
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def load_jobs(self, job_ids: List[Hashable]) -> dict:
"""Load all data from a given list of jobs' identifiers.
Args:
job_ids (list): The list of job identifiers.
Returns:
dict: A dictionnary of the retrieved values where the keys are the identifier of jobs.
"""
return {}
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def store_job_status(self, job_id: Hashable, job_status: int):
"""Stores the new job status.
Args:
job_id (Hashable): The job identifier.
job_status (int): The status of the job.
"""
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def load_job_status(self, job_id: Hashable) -> int:
"""Loads the status of a job.
Args:
job_id (Hashable): The job identifier.
Returns:
int: The status of the job.
"""
return 0
