To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Heritage persistent IDentifiers (SWHIDs) must be used instead of copying and pasting the url from the address bar of the browser (as there is no guarantee the current URI scheme will remain the same over time).
Select below a type of object currently browsed in order to display its associated SWHID and permalink.
# Copyright 2017-2019 GPflow # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # pylint: skip-file import os from typing import Sequence, Type, Any, List, Iterable, TypeVar def is_continuous_integration() -> bool: """ Determines whether we are running on the Continuous Integration system for notebook integration tests. This is used to speed up notebook integration tests (built on every pull request commit) by capping all expensive loops at a small number, rather than running until convergence. When building the docs (indicated by the presence of the `DOCS` environment variable), we need to run notebooks to completion, and this function returns `False`. Whether we are running on CI is determined by the presence of the `CI` environment variable. """ if "DOCS" in os.environ: return False return "CI" in os.environ def ci_niter(n: int, test_n: int = 2) -> int: return test_n if is_continuous_integration() else n def ci_range(n: int, test_n: int = 2) -> Sequence[int]: return range(ci_niter(n, test_n)) T = TypeVar("T") def ci_list(lst: List[T], test_n: int = 2) -> List[T]: return lst[:test_n] if is_continuous_integration() else lst def subclasses(cls: Type[Any]) -> Iterable[Type[Any]]: """ Generator that returns all (not just direct) subclasses of `cls` """ for subclass in cls.__subclasses__(): yield from subclasses(subclass) yield subclass
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