68 lines
2.4 KiB
Python
68 lines
2.4 KiB
Python
#!/usr/bin/env python3
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# 模拟规划完成所有记忆单元集文件的最小时间
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import os
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import particles as pt
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import datetime
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import pathlib
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import math
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import time
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MINIMAL_REPEATATION = 2
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FILTER = "ALL"
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WORST_EF = 5
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PAYLOAD = 16
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print("SM-2 任务预规划实用程序")
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print(f"运行时刻: {datetime.datetime.now()}")
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print(f" > 筛选器模式: {FILTER}")
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print(f" > 最小重复次数设置: {MINIMAL_REPEATATION}")
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print(f" > 最坏难度系数: {WORST_EF}")
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print(f" > 单日单元负荷: {PAYLOAD}")
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print("--------")
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filelist = []
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if FILTER == "ALL":
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for i in os.listdir('./nucleon'):
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if "toml" in i:
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print("扫描到记忆单元集: " + i)
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filelist.append(i)
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print(f"共需记忆 {len(filelist)} 个记忆单元集")
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else:
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filelist = [FILTER]
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print("--------")
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time_counter = 0
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text_counter = 0
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content_counter = 0
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for i in filelist:
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print(f"处理: {i}")
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nucu = pt.NucleonUnion(pathlib.Path("./nucleon/" + i))
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print(f"记忆单元数: {len(nucu.nucleons)}")
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content_cnt = 0
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metadata_trsl_cnt = 0
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metadata_note_cnt = 0
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metadata_kwrd_cnt = 0
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for i in nucu.nucleons:
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if i.content[-1] != "/":
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print('检测到不规范字符串')
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print(i.content)
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content_cnt += len(i.content)
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metadata_trsl_cnt += len(str(i.metadata["translation"]))
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metadata_kwrd_cnt += len(str(i.metadata["keyword_note"]))
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metadata_note_cnt += len(str(i.metadata["note"]))
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print(" - 原文文字数: " + str(content_cnt))
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metadata_cnt = metadata_kwrd_cnt + metadata_note_cnt + metadata_trsl_cnt
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print(" - 元数据字数: " + str(metadata_cnt) + f"\n = {metadata_trsl_cnt}[翻译] + {metadata_kwrd_cnt}[关键词] + {metadata_note_cnt}[笔记]")
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print(f" - 总文字数: {content_cnt + metadata_cnt}")
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print(f"独占记忆时间: {len(nucu.nucleons) / PAYLOAD} -> {math.ceil(len(nucu.nucleons) / PAYLOAD)}")
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#time.sleep(0.1)
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text_counter += (content_cnt + metadata_cnt)
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content_counter += content_cnt
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time_counter += math.ceil(len(nucu.nucleons) / PAYLOAD)
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print("--------")
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for i in range(MINIMAL_REPEATATION):
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print(f"若按计划进行, 最长需要 {time_counter + (i + 1) * 6} 天完成全部内容的第 {i + 1} 次记忆")
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print(f"规划包含 {content_counter} 字, 附加了 {text_counter - content_counter} 字的元数据内容, 共计 {text_counter} 字")
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