feat: 改进状态机

examples/jiebatest.py

@@ -1,9 +1,9 @@
 # encoding=utf-8
 import jieba
 
-#jieba.enable_paddle()# 启动paddle模式。 0.40版之后开始支持，早期版本不支持
-strs=["我来到北京清华大学","乒乓球拍卖完了","中国科学技术大学"]
-#for str in strs:
+# jieba.enable_paddle()# 启动paddle模式。 0.40版之后开始支持，早期版本不支持
+strs = ["我来到北京清华大学", "乒乓球拍卖完了", "中国科学技术大学"]
+# for str in strs:
 #    seg_list = jieba.cut(str,use_paddle=True) # 使用paddle模式
 #    print("Paddle Mode: " + '/'.join(list(seg_list)))
 

examples/repo.ipynb

@@ -101,9 +101,11 @@
     }
    ],
    "source": [
-    "import heurams.kernel.repolib as repolib # 这是 RepoLib 子模块, 用于管理和结构化 repo(中文含义: 仓库) 数据结构与本地文件间的联系\n",
-    "import heurams.kernel.particles as pt # 这是 Particles(中文含义: 粒子) 子模块, 用于运行时的记忆管理操作\n",
-    "from pathlib import Path # 这是 Python 的 Pathlib 模块, 用于表示文件路径, 在整个项目中, 都使用此模块表示路径"
+    "import heurams.kernel.repolib as repolib  # 这是 RepoLib 子模块, 用于管理和结构化 repo(中文含义: 仓库) 数据结构与本地文件间的联系\n",
+    "import heurams.kernel.particles as pt  # 这是 Particles(中文含义: 粒子) 子模块, 用于运行时的记忆管理操作\n",
+    "from pathlib import (\n",
+    "    Path,\n",
+    ")  # 这是 Python 的 Pathlib 模块, 用于表示文件路径, 在整个项目中, 都使用此模块表示路径"
    ]
   },
   {
@@ -231,6 +233,7 @@
    "source": [
     "test_repo_dic = test_repo.export_to_single_dict()\n",
     "from pprint import pprint\n",
+    "\n",
     "pprint(test_repo_dic)"
    ]
   },
@@ -287,7 +290,10 @@
     }
    ],
    "source": [
-    "test_repo.persist_to_repodir(save_list=[\"schedule\", \"payload\", \"manifest\", \"typedef\", \"algodata\"], source=Path(\"test_new_repo\"))\n",
+    "test_repo.persist_to_repodir(\n",
+    "    save_list=[\"schedule\", \"payload\", \"manifest\", \"typedef\", \"algodata\"],\n",
+    "    source=Path(\"test_new_repo\"),\n",
+    ")\n",
     "!tree"
    ]
   },
@@ -336,11 +342,12 @@
    ],
    "source": [
     "from heurams.utils.lict import Lict\n",
-    "lct = Lict() # 空的\n",
-    "lct = Lict(initlist=[(\"name\", \"tom\"), (\"age\", 12), (\"enemy\", \"jerry\")]) # 基于列表\n",
+    "\n",
+    "lct = Lict()  # 空的\n",
+    "lct = Lict(initlist=[(\"name\", \"tom\"), (\"age\", 12), (\"enemy\", \"jerry\")])  # 基于列表\n",
     "print(lct)\n",
-    "lct = Lict(initdict={\"name\": \"tom\", \"age\": 12, \"enemy\": \"jerry\"}) # 基于字典\n",
-    "print(lct)\n"
+    "lct = Lict(initdict={\"name\": \"tom\", \"age\": 12, \"enemy\": \"jerry\"})  # 基于字典\n",
+    "print(lct)"
    ]
   },
   {
@@ -404,7 +411,7 @@
     "\n",
     "# 错误的方式\n",
     "lct.dicted_data[\"type\"] = \"cat\"\n",
-    "print(lct) # 将不会同步修改\n",
+    "print(lct)  # 将不会同步修改\n",
     "\n",
     "# 不推荐, 但可用的方式\n",
     "lct.dicted_data[\"type\"] = \"cat\"\n",
@@ -412,7 +419,7 @@
     "print(lct)\n",
     "\n",
     "# 推荐方式\n",
-    "lct['is_human'] = False\n",
+    "lct[\"is_human\"] = False\n",
     "print(lct)"
    ]
   },
@@ -446,7 +453,7 @@
     "# 由于 jupyter 的环境处理, 请不要重复运行此单元格, 如果想再看一遍, 请重启 jupyter 后再全部运行\n",
     "\n",
     "# 唯一推荐方式\n",
-    "lct.append(('enemy_2', 'spike'))\n",
+    "lct.append((\"enemy_2\", \"spike\"))\n",
     "print(lct.dicted_data)"
    ]
   },
@@ -507,7 +514,16 @@
     }
    ],
    "source": [
-    "lct = Lict(initdict={'age': 12, 'enemy': 'jerry', 'is_human': False, 'name': 'tom', 'type': 'cat', 'enemy_2': 'spike'})\n",
+    "lct = Lict(\n",
+    "    initdict={\n",
+    "        \"age\": 12,\n",
+    "        \"enemy\": \"jerry\",\n",
+    "        \"is_human\": False,\n",
+    "        \"name\": \"tom\",\n",
+    "        \"type\": \"cat\",\n",
+    "        \"enemy_2\": \"spike\",\n",
+    "    }\n",
+    ")\n",
     "print(lct)\n",
     "print(lct.dicted_data)\n",
     "print(\"------\")\n",
@@ -517,7 +533,16 @@
     "while len(lct) > 0:\n",
     "    print(lct.pop())\n",
     "    print(lct)\n",
-    "lct = Lict(initdict={'age': 12, 'enemy': 'jerry', 'is_human': False, 'name': 'tom', 'type': 'cat', 'enemy_2': 'spike'})\n",
+    "lct = Lict(\n",
+    "    initdict={\n",
+    "        \"age\": 12,\n",
+    "        \"enemy\": \"jerry\",\n",
+    "        \"is_human\": False,\n",
+    "        \"name\": \"tom\",\n",
+    "        \"type\": \"cat\",\n",
+    "        \"enemy_2\": \"spike\",\n",
+    "    }\n",
+    ")\n",
     "..."
    ]
   },
@@ -654,10 +679,14 @@
     }
    ],
    "source": [
-    "repo = repolib.Repo.create_from_repodir(Path('./test_repo'))\n",
+    "repo = repolib.Repo.create_from_repodir(Path(\"./test_repo\"))\n",
     "for i in repo.ident_index:\n",
-    "    n = pt.Nucleon.create_on_nucleonic_data(nucleonic_data=repo.nucleonic_data_lict.get_itemic_unit(i))\n",
-    "    e = pt.Electron.create_on_electonic_data(electronic_data=repo.electronic_data_lict.get_itemic_unit(i))\n",
+    "    n = pt.Nucleon.create_on_nucleonic_data(\n",
+    "        nucleonic_data=repo.nucleonic_data_lict.get_itemic_unit(i)\n",
+    "    )\n",
+    "    e = pt.Electron.create_on_electonic_data(\n",
+    "        electronic_data=repo.electronic_data_lict.get_itemic_unit(i)\n",
+    "    )\n",
     "    e.activate()\n",
     "    e.revisor(5, True)\n",
     "    print(repr(n))\n",

examples/simplemem.py

@@ -1,13 +1,18 @@
 import heurams.kernel.repolib as repolib
 import heurams.kernel.particles as pt
 from pathlib import Path
-repo = repolib.Repo.create_from_repodir(Path('./test_repo'))
+
+repo = repolib.Repo.create_from_repodir(Path("./test_repo"))
 for i in repo.ident_index:
-    n = pt.Nucleon.create_on_nucleonic_data(nucleonic_data=repo.nucleonic_data_lict.get_itemic_unit(i))
-    e = pt.Electron.create_on_electonic_data(electronic_data=repo.electronic_data_lict.get_itemic_unit(i))
+    n = pt.Nucleon.create_on_nucleonic_data(
+        nucleonic_data=repo.nucleonic_data_lict.get_itemic_unit(i)
+    )
+    e = pt.Electron.create_on_electonic_data(
+        electronic_data=repo.electronic_data_lict.get_itemic_unit(i)
+    )
     a = pt.Atom(n, e, repo.orbitic_data)
     e.activate()
     e.revisor(5, True)
     print(repr(a))
-    #print(repr(e))
-#print(repo)
+    # print(repr(e))
+# print(repo)