代码解读:首先我们导入argparse这个包,然后包中的ArgumentParser类生成一个parser对象(其中的description对参数解析器的作用进行描述),当我们在命令行显示帮助信息的时候会看到description描述的信息。 运行结果: Namespace(batch=4, epochs=30) show304 参数详解 1.argparse.ArgumentParser()方法 argparse模块提供了ArgumentPar...
zjq@DESKTOP-O28RVV3:9_测试文件夹$ python argparse_test.py -d 256 -n zj2 Namespace(d=256, na='zj2') {'d': 256, 'na': 'zj2'} 256 === zj2 zjq@DESKTOP-O28RVV3:9_测试文件夹$ python argparse_test.py -d 256 -na zj2 Namespace(d=256, na='zj2') {'d': 256, 'na':...
Example #5Source File: source_parser.py From pyFileFixity with MIT License 4 votes def parse_source_file(file_name): """ Parses the AST of Python file for lines containing references to the argparse module. returns the collection of ast objects found. Example client code: 1. parser = ...
import textwrap from reporter import __is_valid_limit__ from reporter.rpm_query import QueryHelper from rich.table import Table from rich.progress import Progress if __name__ == "__main__": parser = argparse.ArgumentParser(description=textwrap.dedent(__doc__)) parser.add_argument( "--limit...
#!/usr/bin/env python3 import replicate import json import os import argparse def format_json_file(file_path): try: with open(file_path, "r") as f: data = json.load(f) data["run_count"] = 0 with open(file_path, "w") as f: json.dump(data, f, indent=4, ensure_ascii=False...
Example #6Source File: serving.py From data with GNU General Public License v3.0 5 votes def main(): '''A simple command-line interface for :py:func:`run_simple`.''' # in contrast to argparse, this works at least under Python < 2.7 import optparse from werkzeug.utils import import...
# pipedream add-package ConfigArgParse import configargparse # pipedream add-package PyContracts import contracts # pipedream add-package weblogo import weblogolib # pipedream add-package Couchapp import couchapp # pipedream add-package CouchDB import couchdb # pipedream add-package couchdb_python_...
#!/usr/bin/env /workspace/tmp_windsurf/py310/bin/python3 from openai import OpenAI import argparse def create_llm_client(): client = OpenAI( base_url="http://192.168.180.137:8006/v1", api_key="not-needed" # API key might not be needed for local deployment ) return client def query...
/usr/bin python # encoding:UTF-8 """ 对输入的超参数进行处理 """ import os import argparse """ 设置运行的背景context """ from mindspore import context """ 对数据集进行预处理 """ import mindspore.dataset as ds import mindspore.dataset.transforms.c_transforms as C ...
parser = argparse.ArgumentParser() parser.add_argument('--data_dir', type=str, default='../datasets') python3 train.py --data_dir '../tmp' 遇到报错error: unrecognized arguments: --data_dir 首先确保a. 我确实有这个参数 b.我在写命令的时候用的不是等号赋值(即 --data_dir='../tmp'❌...