tweaks

407e07ec · BO ZHANG · fd859e1e · 407e07ec · 407e07ec
Commit 407e07ec authored Sep 16, 2023 by BO ZHANG 🏀
--- a/docs/source/ch03_packaging.rst
+++ b/docs/source/ch03_packaging.rst
@@ -21,7 +21,7 @@ Files/directories with asterisks (``*``) marks are optional.
    │   ├── demo.py                           # Python modules
    │   ├── flip_image.py
    │   ├── scratch.py
-    │   └── top_level_interface.py            # the top level interface module
+    │   └── api.py                            # the top level interface module
    ├── doc                                   # *sphinx-based documentation directory
    │   ├── build
    │   ├── source

--- a/docs/source/demo_type_annotation.ipynb
+++ b/docs/source/demo_type_annotation.ipynb
@@ -30,7 +30,7 @@
    "c: bool = True # 布尔型标注\n",
    "d: tuple = (1, 2) # 元组型标注\n",
    "e: tuple[int, float] = (1, 2.34) # 限定类型和元素个数的元组标注\n",
-    "f: tuple[int, ...] = (1, 2, 3, 4, 5., \"abc\") # 限定类型但不定元素个数的元组型标注\n",
+    "f: tuple[int, ...] = (1, 2, 3, 4, 5) # 限定类型但不定元素个数的元组型标注\n",
    "g: list = [1, 2, 3] # 一般的列表型标注\n",
    "h: list[int] = [1, 2, 3] # 对列表型来说不需要标元素个数，但可以明确要求元素类型"
   ],

 %% Cell type:markdown id:697384beaffb53a3 tags:
 # How to do Python type annotation
 %% Cell type:markdown id:4313baabbbf2ecb tags:
 ## built-in types
 %% Cell type:code id:5fbe06f15bbcd630 tags:
 ``` python
 a: int = 8 # 整数型标注
 b: float = 1.23 # 浮点型标注
 c: bool = True # 布尔型标注
 d: tuple = (1, 2) # 元组型标注
 e: tuple[int, float] = (1, 2.34) # 限定类型和元素个数的元组标注
-f: tuple[int, ...] = (1, 2, 3, 4, 5., "abc") # 限定类型但不定元素个数的元组型标注
+f: tuple[int, ...] = (1, 2, 3, 4, 5) # 限定类型但不定元素个数的元组型标注
 g: list = [1, 2, 3] # 一般的列表型标注
 h: list[int] = [1, 2, 3] # 对列表型来说不需要标元素个数，但可以明确要求元素类型
 ```
 %% Cell type:markdown id:a06987fbe46de9e4 tags:
 ## `typing` 模块
 对于一些内建类型来说是可以直接用内建类型来标注的，例如以下两句是相等的
 %% Cell type:code id:c9d78355e0521512 tags:
 ``` python
 l1: list[int] = [1, 2, 3]
 from typing import List
 l2: List[int] = [1, 2, 3]
 ```
 %% Cell type:markdown id:8cab70562a62c99 tags:
 ## Union, Optional和Any
 - Union表示并集，Union[float, int]表示可以是float也可以是int
 - Optional表示可选，Optional[int]表示可以是None也可以是int
 - Any表示任意类型
 %% Cell type:markdown id:ca8b1d813d84ad8c tags:
 ## numpy.typing
 我们经常会用到numpy.ndarray进行科学计算，可以有以下几种标注方式:
 1. 直接用np.ndarray进行标注, 此时不限定类型(dtype)
 %% Cell type:code id:6ebd28b4f4c84ab4 tags:
 ``` python
 import numpy as np
 x1: np.ndarray = np.arange(10)
 ```
 %% Cell type:markdown id:622cde4d8d3fb34a tags:
 2. 限定类型时不能使用np.ndarray而必须用numpy.typing模块
 %% Cell type:code id:36d4e0be053bbd1a tags:
 ``` python
 import numpy.typing as npt
 x2: npt.NDArray = np.arange(10, dtype=float)
 x3: npt.NDArray[np.int_] = np.arange(10, dtype=int)
 x4: npt.NDArray[np.float_] = np.arange(10, dtype=float)
 x5: npt.NDArray[np.float32] = np.arange(10, dtype=np.float32)
 x6: npt.NDArray[np.bool_] = np.ones(10, dtype=bool)
 x7: npt.NDArray[np.complex_] = np.ones(10, dtype=np.complex_)
 ```
 %% Cell type:code id:47b6d72d76ee84a1 tags:
 ``` python
 ```