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默认语言转化为英语 #3

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Merged
shkey merged 1 commit into from
Dec 23, 2024
Merged

默认语言转化为英语 #3

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46 changes: 23 additions & 23 deletions src/python/__init__.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
"""python package.

Python 代码
Python code
"""

from functools import partial
Expand All @@ -9,21 +9,21 @@
from bigmodule import I

# metadata
# 模块作者
author = "BigQuant"
# 模块分类
category = "通用"
# 模块显示名
friendly_name = "Python函数"
# 文档地址, optional
doc_url = "https://bigquant.com/wiki/"
# 是否自动缓存结果
# Module author
author = "AFE"
# Module category
category = "General"
# Module display name
friendly_name = "Python function"
# Documentation URL, optional
doc_url = "wiki/"
# Whether to automatically cache results
cacheable = True


DEFAULT_RUN = """def bigquant_run(input_1, input_2, input_3):
# Python 代码入口函数，input_1/2/3 对应三个输入端，data_1/2/3 对应三个输出端
# 示例代码如下。在这里编写您的代码
# Python code entry function, input_1/2/3 correspond to three input ports, data_1/2/3 correspond to three output ports
# Sample code is as follows. Write your code here

import dai

Expand All @@ -34,27 +34,27 @@
"""

DEFAULT_POST_RUN = """def bigquant_run(outputs):
# 后处理函数，可选。输入是主函数的输出，可以在这里对数据做处理，或者返回更友好的outputs数据格式。此函数输出不会被缓存。
# Post-processing function, optional. The input is the output of the main function, and you can process the data here or return a more user-friendly outputs data format. The output of this function will not be cached.
return outputs
"""


def run(
run: I.code("主函数，返回dict对象", I.code_python, default=DEFAULT_RUN, specific_type_name="函数", auto_complete_type="python"),
do_run: I.bool("运行主函数，如果不运行主函数，将通过 data_1 返回函数 partial(run, input_*=input_*)") = True,
run: I.code("Main function, returns a dict object", I.code_python, default=DEFAULT_RUN, specific_type_name="function", auto_complete_type="python"),
do_run: I.bool("Run the main function, if not running the main function, it will return the function partial(run, input_*=input_*)") = True,
post_run_outputs_: I.code(
"后处理函数，输入是主函数的输出，此函数输出不会被缓存", I.code_python, default=DEFAULT_POST_RUN, specific_type_name="函数", auto_complete_type="python"
"Post-processing function, input is the output of the main function, this function's output will not be cached", I.code_python, default=DEFAULT_POST_RUN, specific_type_name="function", auto_complete_type="python"
) = None,
input_1: I.port("输入1，传入到函数的参数 input_1", optional=True) = None,
input_2: I.port("输入2，传入到函数的参数 input_2", optional=True) = None,
input_3: I.port("输入3，传入到函数的参数 input_3", optional=True) = None,
input_1: I.port("Input 1, passed as parameter input_1 to the function", optional=True) = None,
input_2: I.port("Input 2, passed as parameter input_2 to the function", optional=True) = None,
input_3: I.port("Input 3, passed as parameter input_3 to the function", optional=True) = None,
m_meta_kwargs=None,
) -> [
I.port("输出1，对应函数输出的 data_1", "data_1", optional=True),
I.port("输出2，对应函数输出的 data_2", "data_2", optional=True),
I.port("输出3，对应函数输出的 data_3", "data_3", optional=True),
I.port("Output 1, corresponding to the function's output data_1", "data_1", optional=True),
I.port("Output 2, corresponding to the function's output data_2", "data_2", optional=True),
I.port("Output 3, corresponding to the function's output data_3", "data_3", optional=True),
]:
"""执行任意Python代码，支持缓存加速。"""
"""Execute arbitrary Python code with support for cache acceleration."""

if do_run:
result = run(input_1, input_2, input_3)
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