Revision 1dd32232bce35cddd2ce54848f618750b6a0e10b authored by Alessandro Vullo on 07 October 2021, 10:26:48 UTC, committed by Alessandro Vullo on 07 October 2021, 10:26:48 UTC
Rearranging and updating notebooks with more user-friendly descriptions.
1 parent 47e61b7
ci_utils.py
# Copyright 2017-2020 The GPflow Contributors. All Rights Reserved.
#
# 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 Any, Iterable, List, Sequence, Type, 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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