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add custom_ops docstring
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@@ -195,7 +195,10 @@ MODE_CONF = {
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"timeout": 100,
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"logging_level": logging.INFO,
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"region": REG_CN,
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## Custom Operator
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# custom operator
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# each element of custom_ops should be Type[ExpressionOps] or dict
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# if element of custom_ops is Type[ExpressionOps], it represents the custom operator class
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# if element of custom_ops is dict, it represents the config of custom operator and should include `class` and `module_path` keys.
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"custom_ops": [],
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},
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}
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@@ -10,6 +10,7 @@ import abc
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import numpy as np
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import pandas as pd
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from typing import Union, List, Type
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from scipy.stats import percentileofscore
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from .base import Expression, ExpressionOps
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@@ -1496,7 +1497,20 @@ class OpsWrapper:
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def reset(self):
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self._ops = {}
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def register(self, ops_list):
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def register(self, ops_list: List[Union[Type[ExpressionOps], dict]]):
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"""register operator
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Parameters
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----------
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ops_list : List[Union[Type[ExpressionOps], dict]]
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- if type(ops_list) is List[Type[ExpressionOps]], each element of ops_list represents the operator class, which should be the subclass of `ExpressionOps`.
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- if type(ops_list) is List[dict], each element of ops_list represents the config of operator, which has the following format:
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{
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"class": class_name,
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"module_path": path,
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}
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Note: `class` should be the class name of operator, `module_path` should be a python module or path of file.
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"""
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for _operator in ops_list:
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if isinstance(_operator, dict):
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_ops_class, _ = get_cls_kwargs(_operator)
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