Efficiently cache calls to functions
Project description
cacholote
Efficiently cache calls to functions
Quick Start
>>> import cacholote
>>> from tempfile import TemporaryDirectory
>>> from time import sleep
>>> from timeit import repeat
>>> @cacholote.cacheable
... def cached_func(x):
... sleep(x)
... return x
>>> with TemporaryDirectory() as tmpdir, cacholote.config.set(cache_store_directory=tmpdir):
... timings = repeat(lambda: cached_func(1), number=1, repeat=5)
... cached_result = cached_func(1)
>>> cached_result
1
>>> [int(t) for t in timings]
[1, 0, 0, 0, 0]
Workflow for developers/contributors
For best experience create a new conda environment (e.g. DEVELOP) with Python 3.10:
conda create -n DEVELOP -c conda-forge python=3.10
conda activate DEVELOP
Before pushing to GitHub, run the following commands:
- Update conda environment:
make conda-env-update - Install this package:
pip install -e . - Sync with the latest template (optional):
make template-update - Run quality assurance checks:
make qa - Run tests:
make unit-tests - Run the static type checker:
make type-check - Build the documentation (see Sphinx tutorial):
make docs-build
License
Copyright 2019, B-Open Solutions srl.
Copyright 2022, European Union.
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.
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