Ensure all configuration parameters have explicit default values and are thoroughly documented. When using argparse with `action='store_true'`, always pair it with `default=False`. Document parameter purposes, valid values, and default behaviors in README files. For dependency management, separate conflicting requirements into different files to avoid...
Ensure all configuration parameters have explicit default values and are thoroughly documented. When using argparse with action='store_true'
, always pair it with default=False
. Document parameter purposes, valid values, and default behaviors in README files. For dependency management, separate conflicting requirements into different files to avoid version incompatibilities.
Example:
# Good: Explicit default value
parser.add_argument('--use_modelscope', action='store_true', default=False,
help='Whether to use ModelScope; if False, HuggingFace is used')
parser.add_argument('--generate_length', type=int, default=2048,
help='Number of tokens to generate (default: 2048)')
In README documentation:
Parameters:
- `--use_modelscope`: Whether to use ModelScope; if False, HuggingFace is used; default is False
- `--generate_length`: Number of tokens to generate; default is 2048
For dependencies, use separate requirement files:
requirements/perf_transformer.txt # For transformer-specific dependencies
requirements/perf_vllm.txt # For vLLM-specific dependencies
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