38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
import pytest
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import torch
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from lerobot.common.utils.import_utils import is_package_available
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# Pass this as the first argument to init_hydra_config.
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DEFAULT_CONFIG_PATH = "lerobot/configs/default.yaml"
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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def require_env(func):
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"""
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Decorator that skips the test if the required environment package is not installed.
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As it need 'env_name' in args, it also checks whether it is provided as an argument.
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"""
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from functools import wraps
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@wraps(func)
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def wrapper(*args, **kwargs):
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# Determine if 'env_name' is provided and extract its value
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arg_names = func.__code__.co_varnames[: func.__code__.co_argcount]
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if "env_name" in arg_names:
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# Get the index of 'env_name' and retrieve the value from args
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index = arg_names.index("env_name")
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env_name = args[index] if len(args) > index else kwargs.get("env_name")
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else:
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raise ValueError("Function does not have 'env_name' as an argument.")
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# Perform the package check
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package_name = f"gym_{env_name}"
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if not is_package_available(package_name):
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pytest.skip(f"gym-{env_name} not installed")
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return func(*args, **kwargs)
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return wrapper
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