34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import numpy as np
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_TEST_ROOT = os.path.dirname(__file__)
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_PROJECT_ROOT = os.path.dirname(_TEST_ROOT)
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_TEMP_PATH = os.path.join(_PROJECT_ROOT, 'test_temp')
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DATASETS_PATH = os.path.join(_PROJECT_ROOT, 'Datasets')
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LEGACY_PATH = os.path.join(_PROJECT_ROOT, 'legacy')
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# todo: this setting `PYTHONPATH` may not be used by other evns like Conda for import packages
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if _PROJECT_ROOT not in os.getenv('PYTHONPATH', ""):
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splitter = ":" if os.environ.get("PYTHONPATH", "") else ""
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os.environ['PYTHONPATH'] = f'{_PROJECT_ROOT}{splitter}{os.environ.get("PYTHONPATH", "")}'
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# generate a list of random seeds for each test
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RANDOM_PORTS = list(np.random.randint(12000, 19000, 1000))
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if not os.path.isdir(_TEMP_PATH):
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os.mkdir(_TEMP_PATH)
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