Merge branch 'release' of gitadmin/tuoheng_alg into master

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   </component>
 </project>

demo1.py

+# -*- coding: utf-8 -*-
+import datetime
+import time
+
+import json
+
+from aliyunsdkcore.client import AcsClient
+from aliyunsdkvod.request.v20170321 import GetPlayInfoRequest
+from loguru import logger
+
+from vodsdk.AliyunVodUploader import AliyunVodUploader
+from vodsdk.UploadVideoRequest import UploadVideoRequest
+'''
+视频上传使用vod
+1. 阿里云VOD文档地址：https://help.aliyun.com/product/29932.html?spm=5176.8413026.J_3895079540.5.1b4a1029mXvncc
+2. 阿里云对象存储OSS SDK示例地址：https://help.aliyun.com/document_detail/64148.html?spm=a2c4g.64148.0.0.5ae54150jUecEU
+4. 安装SDK：
+python -m pip install aliyun-python-sdk-core -i https://pypi.tuna.tsinghua.edu.cn/simple
+python -m pip install aliyun-python-sdk-live -i https://pypi.tuna.tsinghua.edu.cn/simple
+python -m pip install aliyun-python-sdk-core-v3  -i https://pypi.tuna.tsinghua.edu.cn/simple
+python -m pip install aliyun-python-sdk-vod  -i https://pypi.tuna.tsinghua.edu.cn/simple
+python -m pip install alibabacloud_vod20170321 -i https://pypi.tuna.tsinghua.edu.cn/simple
+python -m pip install oss2 -i https://pypi.tuna.tsinghua.edu.cn/simple
+5. 视频域名地址：https://vod.play.t-aaron.com/
+'''
+
+
+class AliyunVodSdk:
+
+    def __init__(self, requestId):
+        self.__client = None
+        self.__access_key = 'LTAI5tMiefafZ6br4zmrQWv9'
+        self.__access_secret = 'JgzQjSCkwZ7lefZO6egOArw38YH1Tk'
+        self.__regionId = "cn-shanghai"
+        self.__cateId = '1000468340'
+        self.__requestId = requestId
+
+    def init_vod_client(self):
+        return AcsClient(self.__access_key, self.__access_secret, self.__regionId, auto_retry=True, max_retry_time=3, timeout=30)
+
+    '''
+    根据videoId获取视频地址
+    '''
+
+    def get_play_info(self, videoId):
+        logger.info("开始获取视频地址，videoId:{}", videoId)
+        start = time.time()
+        while True:
+            try:
+                clt = self.init_vod_client()
+                request = GetPlayInfoRequest.GetPlayInfoRequest()
+                request.set_accept_format('JSON')
+                request.set_VideoId(videoId)
+                request.set_AuthTimeout(3600 * 5)
+                response = json.loads(clt.do_action_with_exception(request))
+                play_url = response["PlayInfoList"]["PlayInfo"][0]["PlayURL"]
+                logger.info("获取视频地址成功，视频地址: {}", play_url)
+                return play_url
+            except Exception as e:
+                logger.error("获取视频地址失败，5秒后重试, requestId: {}")
+                time.sleep(5)
+                current_time = time.time()
+                if "HTTP Status: 403" not in str(e):
+                    logger.exception("获取视频地址失败: {}", e)
+                    raise e
+                if "HTTP Status: 403" in str(e) and ("UploadFail" in str(e) or "TranscodeFail" in str(e)):
+                    logger.exception("获取视频地址失败: {}", e)
+                    raise e
+                diff_time = current_time - start
+                if diff_time > 60 * 60 * 5:
+                    logger.exception("获取视频地址失败超时异常: {}，超时时间：{}", str(e), diff_time)
+                    raise e
+
+    def upload_local_video(self, filePath, file_title, storageLocation=None):
+        logger.info("开始执行vod视频上传, filePath: {}", filePath)
+        uploader = AliyunVodUploader(self.__access_key, self.__access_secret, self.__requestId)
+        uploadVideoRequest = UploadVideoRequest(filePath, file_title)
+        uploadVideoRequest.setCateId(self.__cateId)
+        if storageLocation:
+            uploadVideoRequest.setStorageLocation(storageLocation)
+        MAX_RETRIES = 3
+        retry_count = 0
+        while True:
+            try:
+                result = uploader.uploadLocalVideo(uploadVideoRequest)
+                logger.info("vod视频上传成功, videoId:{}", result.get("VideoId"))
+                return result.get("VideoId")
+            except Exception as e:
+                retry_count += 1
+                time.sleep(1)
+                logger.error("vod视频上传失败，重试次数：{}", retry_count)
+                if retry_count >= MAX_RETRIES:
+                    logger.exception("vod视频上传重试失败: {}", str(e))
+                    raise e
+
+
+YY_MM_DD_HH_MM_SS = "%Y-%m-%d %H:%M:%S"
+YMDHMSF = "%Y%m%d%H%M%S%f"
+
+
+def generate_timestamp():
+    """根据当前时间获取时间戳，返回整数"""
+    return int(time.time())
+
+
+def now_date_to_str(fmt=None):
+    if fmt is None:
+        fmt = YY_MM_DD_HH_MM_SS
+        return datetime.datetime.now().strftime(fmt)
+
+
+if __name__ == "__main__":
+    # 本地原视频命名
+    random_time = now_date_to_str(YMDHMSF)
+    # # 如果是离线视频，将 _on_or_ 替换为 _off_or_
+    # orFilePath = "%s%s%s%s%s" % ('本地路径', random_time, "_on_or_", 'requestId', ".mp4")
+    # # 本地AI识别后的视频命名
+    # # 如果是离线视频，将 _on_ai_ 替换为 _off_ai_
+    # aiFilePath = "%s%s%s%s%s" % ('本地路径', random_time, "_on_ai_", 'requestId', ".mp4")
+    # filePath = "%s%s%s%s%s" % ('D:\\shipin\\', random_time, "_on_ai_", '11111111', ".mp4")
+    filePath = 'D:\\shipin\\111.mp4'
+    codClinet = AliyunVodSdk("1111111")
+    result = codClinet.upload_local_video(filePath, 'aiOnLineVideo')
+    print(result)
+    url = codClinet.get_play_info(result)
+    print(url)
+
+
+
+

test/collections/ChainMap.py

+
+
+
+"""
+1、ChainMap是什么
+ChainMap最基本的使用，可以用来合并两个或者更多个字典，当查询的时候，从前往后依次查询。
+ChainMap：将多个字典视为一个，解锁Python超能力。
+ChainMap是由Python标准库提供的一种数据结构，允许你将多个字典视为一个。换句话说:ChainMap是一个基于多dict的可更新的视图，它的行为就像一个普通的dict。
+ChainMap类用于快速链接多个映射，以便将它们视为一个单元。它通常比创建新字典和多次调用update()快得多。
+你以前可能从来没有听说过ChainMap，你可能会认为ChainMap的使用情况是非常特定的。坦率地说，你是对的。
+我知道的用例包括：
+通过多个字典搜索
+提供链缺省值
+经常计算字典子集的性能关键的应用程序
+2、特性
+1）找到一个就不找了：这个列表是按照第一次搜索到最后一次搜索的顺序组织的，搜索查询底层映射，直到一个键被找到。
+2）更新原始映射：不同的是，写，更新和删除只操作第一个映射。
+3）支持所有常用字典方法。
+简而言之ChainMap：将多个字典视为一个，解锁Python超能力。
+Python标准库中的集合模块包含许多为性能而设计的实用的数据结构。著名的包括命名元组或计数器。
+今天，通过实例，我们来看看鲜为人知的ChainMap。通过浏览具体的示例，我希望给你一个提示，关于在更高级的Python工作中使用ChainMap将如何从中受益。
+"""
+
+from collections import ChainMap
+baseline = {'music': 'bach', 'art': 'rembrandt'}
+adjustments = {'art': 'van gogh', 'opera': 'carmen'}
+test = ChainMap(adjustments, baseline)
+print(test)
+test1 = list(ChainMap(adjustments, baseline))
+print(test1)
+# 存在重复元素时，也不会去重
+dcic1 = {'label1': '11', 'label2': '22'}
+dcic2 = {'label2': '22', 'label3': '33'}
+dcic3 = {'label4': '44', 'label5': '55'}
+last = ChainMap(dcic1, dcic2, dcic3)
+print(last)
+print(last['label2'])
+
+"""
+new_child()方法
+用法：new_child(m=None)
+返回一个新的ChainMap类，包含了一个新映射(map)，后面跟随当前实例的全部映射map。
+如果m被指定，它就成为不同新的实例，就是在所有映射前加上 m，如果没有指定，就加上一个空字典，
+这样的话一个 d.new_child() 调用等价于ChainMap({}, *d.maps) 。这个方法用于创建子上下文，不改变任何父映射的值。
+"""
+aa = last.new_child(m={'key_new': 888})
+print(aa)
+
+"""
+parents属性
+属性返回一个新的ChainMap包含所有的当前实例的映射，除了第一个。
+这样可以在搜索的时候跳过第一个映射。使用的场景类似在 nested scopes 嵌套作用域中使用nonlocal关键词。
+用例也可以类比内建函数super() 。一个d.parents 的引用等价于ChainMap(*d.maps[1:])。
+"""
+print(aa.parents)

test/collections/Counter.py

+import collections
+import re
+from collections import Counter
+
+print(collections.__all__)
+"""
+['deque', 'defaultdict', 'namedtuple', 'UserDict', 'UserList', 
+'UserString', 'Counter', 'OrderedDict', 'ChainMap']
+这个模块实现了特定目标的容器，以提供Python标准内建容器dict , list , set , 和tuple 的替代选择。
+deque: 类似列表(list)的容器，实现了在两端快速添加(append)和弹出(pop)
+defaultdict: 字典的子类，提供了一个工厂函数，为字典查询提供一个默认值
+namedtuple(): 创建命名元组子类的工厂函数，生成可以使用名字来访问元素内容的tuple子类
+UserDict: 封装了字典对象，简化了字典子类化
+UserList: 封装了列表对象，简化了列表子类化
+UserString: 封装了字符串对象，简化了字符串子类化（中文版翻译有误）
+Counter: 字典的子类，提供了可哈希对象的计数功能
+OrderedDict: 字典的子类，保存了他们被添加的顺序，有序字典
+ChainMap: 类似字典(dict)的容器类，将多个映射集合到一个视图里面
+"""
+
+text = 'remove an existing key one level down remove an existing key one level down'
+# \w	匹配非特殊字符，即a-z、A-Z、0-9、_、汉字
+words = re.findall(r'\w+', text)
+print(Counter(words).most_common(10))
+
+#计算列表中单词的个数
+cnt = Counter()
+for word in ['red', 'blue', 'red', 'green', 'blue', 'blue']:
+    cnt[word] += 1
+print(cnt)
+
+# #上述这样计算有点嘛，下面的方法更简单，直接计算就行
+L = ['red', 'blue', 'red', 'green', 'blue', 'blue']
+print(Counter(L))
+
+# 元素从一个iterable 被计数或从其他的mapping (or counter)初始化：
+# 字符串计数
+print(Counter('gallahad'))
+
+# 字典计数
+print(Counter({'red': 4, 'blue': 2}))
+
+# 是个啥玩意计数
+print(Counter(cats=4, dogs=8))
+
+"""
+1、elements()
+描述：返回一个迭代器，其中每个元素将重复出现计数值所指定次。 元素会按首次出现的顺序返回。 如果一个元素的计数值小于1，elements() 将会忽略它。
+语法：elements( )
+参数：无
+"""
+c = Counter(a=4, b=2, c=0, d=-2)
+print(c)
+print(list(c.elements()))
+print(sorted(c.elements()))
+c = Counter(a=4, b=2, c=0, d=5)
+print(list(c.elements()))
+
+"""
+2、most_common()
+返回一个列表，其中包含n个最常见的元素及出现次数，按常见程度由高到低排序。 
+如果n被省略或为None，most_common() 将返回计数器中的所有元素，
+计数值相等的元素按首次出现的顺序排序，经常用来计算top词频的词语。
+"""
+print(Counter('abracadabra').most_common(3))
+print(Counter('abracadabra').most_common(5))
+
+"""
+3、subtract()
+从迭代对象或映射对象减去元素。像dict.update() 但是是减去，而不是替换。输入和输出都可以是0或者负数。
+"""
+c = Counter(a=4, b=2, c=0, d=-2)
+d = Counter(a=1, b=2, c=3, d=4)
+c.subtract(d)
+print(c)
+
+#减去一个abcd
+str0 = Counter('aabbccdde')
+str0.subtract('abcd')
+print(str0)
+
+"""
+4、字典方法
+通常字典方法都可用于Counter对象，除了有两个方法工作方式与字典并不相同。
+fromkeys(iterable)
+这个类方法没有在Counter中实现。
+update([iterable-or-mapping])
+从迭代对象计数元素或者从另一个映射对象 (或计数器) 添加。 像 dict.update() 但是是加上，而不是替换。
+另外，迭代对象应该是序列元素，而不是一个 (key, value) 对。
+"""
+c = Counter(a=4, b=2, c=0, d=-2)
+print(sum(c.values()))
+print(list(c))
+print(set(c))
+print(dict(c))
+print(c.items())
+print(+c)  # 删除零计数和负计数
+c.clear()
+print(c)
+"""
+5、数学操作
+这个功能非常强大，提供了几个数学操作，可以结合 Counter 对象，以生产 multisets (计数器中大于0的元素）。 
+加和减，结合计数器，通过加上或者减去元素的相应计数。交集和并集返回相应计数的最小或最大值。
+每种操作都可以接受带符号的计数，但是输出会忽略掉结果为零或者小于零的计数。
+"""
+c = Counter(a=3, b=1)
+d = Counter(a=1, b=2)
+print(c+d)
+print(c - d)
+print(c & d)
+print(c | d)

test/collections/OrderedDict.py

+from collections import OrderedDict
+
+
+"""
+1、popitem
+语法：popitem(last=True)
+功能：有序字典的 popitem() 方法移除并返回一个 (key, value) 键值对。
+如果 last 值为真，则按 LIFO 后进先出的顺序返回键值对，否则就按 FIFO 先进先出的顺序返回键值对。
+"""
+d = OrderedDict.fromkeys('abcde')
+print(d)
+print(d.popitem())
+# #last=False时，弹出第一个
+print(d.popitem(last=False))
+print(d.popitem(last=True))
+
+"""
+2、move_to_end
+"""
+d = OrderedDict.fromkeys('abcde')
+d.move_to_end('b')
+print(d)
+d.move_to_end('b', last=False)
+print(d)
+
+"""
+3、reversed()
+相对于通常的映射方法，有序字典还另外提供了逆序迭代的支持，通过reversed()。
+"""
+d = OrderedDict.fromkeys('acbde')
+print(d)
+print(list(reversed(d)))
+
+c = OrderedDict({'a': 1, 'c': 2, 'b': 3})
+print(c)

test/collections/__init__.py

+# import collections
+#
+# print(collections.__all__)
+# print(dir(collections))
+#
+# d = {}
+# d.setdefault(2, []).append(23)
+# d.setdefault(2, []).append(11)
+# print(d)
+# d.setdefault(2, []).append(23)
+#
+# # 定义一个curry风格函数
+# x = lambda y: [
+#     print(y),
+#     print("..."),
+#     x
+# ][-1]
+# print(x(1)(2))
+#
+# import heapq
+# print(heapq.nlargest(1, [
+#     {'S': 5, 'H': 3},
+#     {'S': 7, 'H': 1},
+#     {'S': 0, 'H': 2}
+# ], key=lambda x: x['S']))
+#
+# s = [1, [2, [3, [4, [5, 6], 7], 8], (9, 0)]]
+# f = lambda x: [y for _x in x for y in f(_x)] if isinstance(x, (list, tuple)) else [x]
+#
+# print(f(s))  # [1, 2, 3, 4, 5, 6, 7, 8, 9, 0]

test/collections/defaultdict.py

+
+
+"""
+默认字典-defaultdict
+在Python字典中收集数据通常是很有用的。
+在字典中获取一个 key 有两种方法, 第一种 get , 第二种 通过 [] 获取.
+使用dict时，如果引用的Key不存在，就会抛出KeyError。如果希望key不存在时，返回一个默认值，就可以用defaultdict。
+当我使用普通的字典时，用法一般是dict={},添加元素的只需要dict[element] =value即，调用的时候也是如此，
+dict[element] = xxx,但前提是element字典里，如果不在字典里就会报错
+这时defaultdict就能排上用场了，defaultdict的作用是在于，当字典里的key不存在但被查找时，
+返回的不是keyError而是一个默认值，这个默认值是什么呢，下面会说
+
+1、基础介绍
+defaultdict([default_factory[, ...]])
+返回一个新的类似字典的对象。 defaultdict是内置dict类的子类。它重载了一个方法并添加了一个可写的实例变量。
+其余的功能与dict类相同，此处不再重复说明。
+本对象包含一个名为default_factory的属性，构造时，第一个参数用于为该属性提供初始值，默认为 None。
+所有其他参数（包括关键字参数）都相当于传递给 dict 的构造函数。
+defaultdict 对象除了支持标准 dict 的操作，还支持以下方法作为扩展：
+__missing__(key)
+如果 default_factory 属性为 None，则调用本方法会抛出 KeyError 异常，附带参数 key。
+如果 default_factory 不为 None，则它会被（不带参数地）调用来为 key 提供一个默认值，
+这个值和 key 作为一对键值对被插入到字典中，并作为本方法的返回值返回。
+如果调用 default_factory 时抛出了异常，这个异常会原封不动地向外层传递。
+在无法找到所需键值时，本方法会被 dict 中的 __getitem__() 方法调用。
+无论本方法返回了值还是抛出了异常，都会被 __getitem__() 传递。
+注意，__missing__() 不会 被 __getitem__() 以外的其他方法调用。
+意味着 get() 会像正常的 dict 那样返回 None，而不是使用 default_factory。
+"""
+from collections import defaultdict
+
+"""
+2、示例介绍
+使用 list 作为 default_factory，很轻松地将（键-值对组成的）序列转换为（键-列表组成的）字典
+"""
+s  = [('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1)]
+d = defaultdict(list)
+for k, v in s:
+    d[k].append(v)
+print(sorted(d.items()))
+
+"""
+当每个键第一次遇见时，它还没有在字典里面，所以自动创建该条目，即调用default_factory方法，
+返回一个空的 list。 list.append() 操作添加值到这个新的列表里。当再次存取该键时，就正常操作，list.append() 
+添加另一个值到列表中。这个计数比它的等价方法dict.setdefault()要快速和简单：
+"""
+s = [('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1)]
+d = {}
+for k, v in s:
+    d.setdefault(k, []).append(v)
+print(sorted(d.items()))
+# 设置 default_factory为int，使defaultdict用于计数（类似其他语言中的 bag或multiset）：
+s = 'mississippi'
+d = defaultdict(int)
+for k in s:
+    d[k] += 1
+print(sorted(d.items()))
+
+# 设置 default_factory 为 set 使 defaultdict 用于构建 set 集合：
+s = [('red', 1), ('blue', 2), ('red', 3), ('blue', 4), ('red', 1), ('blue', 4)]
+d = defaultdict(set)
+for k, v in s:
+    d[k].add(v)
+print(sorted(d.items()))
+print(d['aaa'])
+

test/collections/deque.py

+
+"""
+deque
+双端队列，可以快速的从另外一侧追加和推出对象,deque是一个双向链表，
+针对list连续的数据结构插入和删除进行优化。它提供了两端都可以操作的序列，
+这表示在序列的前后你都可以执行添加或删除操作。双向队列(deque)对象支持以下方法：
+"""
+from collections import deque
+
+"""
+1、append()
+添加 x 到右端。
+"""
+d = deque('ghi')
+d.append('j')
+print(d)
+
+"""
+2、appendleft()
+添加 x 到左端。
+"""
+d.appendleft('f')
+print(d)
+
+"""
+3、clear()
+移除所有元素，使其长度为0.
+"""
+d = deque('ghi')
+d.clear()
+print(d)
+
+"""
+4、copy()
+创建一份浅拷贝。
+"""
+d = deque('xiaoweuge')
+y = d.copy()
+print(y)
+
+"""
+5、count()
+计算 deque 中元素等于 x 的个数。
+"""
+d = deque('xiaoweuge-shuai')
+print(d.count('a'))
+
+"""
+6、extend()
+扩展deque的右侧，通过添加iterable参数中的元素。
+"""
+a = deque('abc')
+b = deque('cd')
+a.extend(b)
+print(a)
+
+#与append 的区别
+a = deque('abc')
+b = deque('cd')
+a.append(b)
+print(a)
+
+"""
+7、extendleft()
+扩展deque的左侧，通过添加iterable参数中的元素。注意，左添加时，在结果中iterable参数中的顺序将被反过来添加。
+"""
+a = deque('abc')
+b = deque('cd')
+a.extendleft(b)
+print(a)
+
+"""
+8、index()
+返回 x 在 deque 中的位置（在索引 start 之后，索引 stop 之前）。 返回第一个匹配项，如果未找到则引发 ValueError。
+"""
+d = deque('xiaoweuge')
+print(d.index('w'))
+
+"""
+9、insert()
+在位置 i 插入 x 。
+如果插入会导致一个限长 deque 超出长度 maxlen 的话，就引发一个 IndexError。
+"""
+a = deque('abc')
+a.insert(1, 'X')
+print(a)
+
+"""
+10、pop()
+移去并且返回一个元素，deque 最右侧的那一个。 如果没有元素的话，就引发一个 IndexError。
+"""
+d = deque('abc')
+print(d.pop())
+
+"""
+11、popleft()
+移去并且返回一个元素，deque 最左侧的那一个。 如果没有元素的话，就引发 IndexError。
+"""
+d = deque('abc')
+print(d.popleft())
+
+"""
+12、remove(value)
+移除找到的第一个 value。 如果没有的话就引发 ValueError。
+"""
+a = deque('abca')
+a.remove('a')
+print(a)
+
+"""
+13、reverse()
+将deque逆序排列。返回 None 。
+"""
+#逆序排列
+d = deque('ghi') # 创建一个deque
+print(list(reversed(d)))
+
+"""
+14、rotate(n=1)
+向右循环移动 n 步。 如果 n 是负数，就向左循环。
+如果deque不是空的，向右循环移动一步就等价于 d.appendleft(d.pop()) ， 向左循环一步就等价于 d.append(d.popleft()) 。
+"""
+# 向右边挤一挤
+d = deque('ghijkl')
+d.rotate(1)
+print(d)
+
+# 向左边挤一挤
+d.rotate(-1)
+print(d)
+
+#看一个更明显的
+x = deque('12345')
+x.rotate()
+print(x)
+
+d = deque(['12',' av', 'cd'])
+d.rotate(1)
+print(d)
+
+"""
+15、maxlen
+Deque的最大尺寸，如果没有限定的话就是 None 。
+"""
+d=deque(maxlen=10)
+for i in range(20):
+    d.append(i)
+print(d)

test/collections/namedtuple.py

+
+
+from collections import namedtuple
+
+"""
+可命名元组-namedtuple
+生成可以使用名字来访问元素内容的tuple子类，命名元组赋予每个位置一个含义，提供可读性和自文档性。
+它们可以用于任何普通元组，并添加了通过名字获取值的能力，通过索引值也是可以的。
+1、参数介绍
+namedtuple(typename,field_names,*,verbose=False, rename=False, module=None)
+1）typename：该参数指定所创建的tuple子类的类名，相当于用户定义了一个新类。
+2）field_names：该参数是一个字符串序列，如 ['x'，'y']。此外，field_names 也可直接使用单个字符串代表所有字段名，多个字段名用空格、逗号隔开，如 'x y' 或 'x,y'。任何有效的 Python 标识符都可作为字段名（不能以下画线开头）。有效的标识符可由字母、数字、下画线组成，但不能以数字、下面线开头，也不能是关键字（如 return、global、pass、raise 等）。
+3）rename：如果将该参数设为 True，那么无效的字段名将会被自动替换为位置名。例如指定 ['abc','def','ghi','abc']，它将会被替换为 ['abc', '_1','ghi','_3']，这是因为 def 字段名是关键字，而 abc 字段名重复了。
+4）verbose：如果该参数被设为 True，那么当该子类被创建后，该类定义就被立即打印出来。
+5）module：如果设置了该参数，那么该类将位于该模块下，因此该自定义类的 __module__ 属性将被设为该参数值。
+"""
+# 定义命名元组类：Point
+Point = namedtuple('Point', ['x', 'y'])
+# 初始化Point对象，即可用位置参数，也可用命名参数
+p = Point(11, y=22)
+# 像普通元组一样用根据索引访问元素
+print(p[0] + p[1])
+
+#执行元组解包，按元素的位置解包
+a, b = p
+print(a, b)
+
+#根据字段名访问各元素
+print(p.x + p.y)
+print(p)
+
+"""
+备注: 在Python中，带有前导下划线的方法通常被认为是“私有的”。
+但是，namedtuple提供的其他方法(如._asdict()、._make()、._replace()等)是公开的。
+除了继承元组的方法，命名元组还支持三个额外的方法和两个属性。为了防止字段名冲突，方法和属性以下划线开始。
+"""
+"""
+_make(iterable)
+类方法从存在的序列或迭代实例创建一个新实例。
+"""
+t = [14, 55]
+print(Point._make(t))
+
+"""
+_asdict()
+返回一个新的dict ，它将字段名称映射到它们对应的值：
+"""
+p = Point(x=11, y=22)
+print(p._asdict())
+
+"""
+_replace(**kwargs)
+返回一个新的命名元组实例，并将指定域替换为新的值
+"""
+p = Point(x=11, y=22)
+p._replace(x=33)
+print(p._replace(x=33))
+
+"""
+两个属性
+_fields
+字符串元组列出了字段名。用于提醒和从现有元组创建一个新的命名元组类型。
+"""
+print(p._fields)
+
+Color = namedtuple('Color', 'red green blue')
+Pixel = namedtuple('Pixel', Point._fields + Color._fields)
+print(Pixel._fields)
+
+"""
+_field_defaults
+字典将字段名称映射到默认值。
+"""
+
+Account = namedtuple('Account', ['type', 'balance'], defaults=[0])
+print(Account._field_defaults)
+print(Account('premium'))
+
+"""
+getattr()
+要获取这个名字域的值，使用 getattr() 函数 :
+"""
+print(getattr(p, 'x'))

test/cpu/test.py

+import platform
+import subprocess
+import fileinput
+
+
+def get_mac_cpu_speed():
+    commond = 'system_profiler SPHardwareDataType | grep "Processor Speed" | cut -d ":" -f2'
+    proc = subprocess.Popen([commond], shell=True, stdout=subprocess.PIPE)
+    output = proc.communicate()[0]
+    output = output.decode()   # bytes 转str
+    speed = output.lstrip().rstrip('\n')
+    return speed
+
+
+def get_linux_cpu_speed():
+    for line in fileinput.input('/proc/cpuinfo'):
+        if 'MHz' in line:
+            value = line.split(':')[1].strip()
+            value = float(value)
+            speed = round(value / 1024, 1)
+            return "{speed} GHz".format(speed=speed)
+
+
+def get_windows_cpu_speed():
+    import winreg
+    key = winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE, r"HARDWARE\DESCRIPTION\System\CentralProcessor\0")
+    speed, type = winreg.QueryValueEx(key, "~MHz")
+    speed = round(float(speed)/1024, 1)
+    return "{speed} GHz".format(speed=speed)
+
+
+def get_cpu_speed():
+    osname = platform.system()  # 获取操作系统的名称
+    speed = ''
+    if osname == "Darwin":
+        speed = get_mac_cpu_speed()
+    if osname == "Linux":
+        speed = get_linux_cpu_speed()
+    if osname in ["Windows", "Win32"]:
+        speed = get_windows_cpu_speed()
+
+    return speed
+
+print(get_cpu_speed())

test/ip/test.py

+import socket
+
+# def get_local_ip():
+#     client = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
+#     # 连接谷歌的dns服务器
+#     client.connect(("8.8.8.8", 80))
+#     ip, _ = client.getsockname()  # 获取套接字自己的地址,返回元组,ip地址和端口号
+#     client.close()
+#     return ip
+#
+#
+# if __name__ == '__main__':
+#     print(get_local_ip())
+
+
+import socket
+from concurrent.futures import wait, ALL_COMPLETED, ThreadPoolExecutor
+
+
+def getport(port):
+    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    sock.settimeout(1)
+    state = sock.connect_ex(("192.168.11.8", port))
+    if 0 == state:
+        print("port: {} is open".format(port))
+    sock.close()
+
+
+with ThreadPoolExecutor(max_workers=100) as t:
+    task_array = []
+    for port in range(1, 65535):
+        task = t.submit(getport, port)
+        task_array.append(task)
+    wait(task_array, return_when=ALL_COMPLETED)

test/os/test.py

+"""
+1.os.rename(原文件名，新的文件名)	——文件重命名
+2.os.remove(文件名)	——删除文件
+    如果不说明路径，则在源代码所在文件夹下寻找，寻找不到会报错。
+    若想删除指定文件夹下的文件，文件名则需要具体路径，例如 os.remove(r"D:\test_1\文件名"), r防止斜杠发生转义
+3.os.mkdir(文件夹名)	——创建文件夹
+4.os.rmdir(文件夹名)	——删除文件夹
+5.os.getced()	——获取当前目录
+6.os.chdir(目录)	——切换目录
+7.os.listdir(目录)	——获取当前文件夹下所有的文件或者文件夹，返回一个列表
+    os.listdir("aa") #获取aa文件夹下的所有文件或文件夹，返回一个列表
+
+
+"""
+import os

test/wifi/test.py

+import subprocess
+
+result = subprocess.check_output(['netsh', 'wlan', 'show', 'network'])
+result = result.decode('gbk')
+lst = result.split('\r\n')
+lst = lst[4:]
+for index in range(len(lst)):
+    if index % 5 == 0:
+        print(lst[index])

test/偏函数/__init__.py

+import getopt
+import keyword
+
+print(keyword.kwlist)
+print(getopt.__doc__)

test/偏函数/cmp_to_key.py

+"""
+python标准模块functools中的cmp_to_key可以将一个cmp函数变成一个key函数，从而支持自定义排序
+python的列表提供了sort方法，下面是该方法的一个示例
+"""
+lst = [(9, 4), (2, 10), (4, 3), (3, 6)]
+lst.sort(key=lambda item: item[0])
+print(lst)
+"""
+sort方法的key参数需要设置一个函数，这个函数返回元素参与大小比较的值，这看起来没有问题，但如果想实现更加复杂的自定义排序，就不那么容易了。
+目前的排序规则是根据元组里第一个元素的大小进行排序，我现在修改规则，如果元组里第一个元素是奇数，就用元组里第一个元素进行排序，
+如果元组里第一个元素是偶数，则用这个元组里的第二个元组进行大小比较，面对这样的需求，列表的sort方法无法满足。
+对于这种情形，可以使用functools.cmp_to_key来解决
+"""
+from functools import cmp_to_key
+lst = [(9, 4), (2, 10), (4, 3), (3, 6)]
+def cmp(x, y):
+    a = x[0] if x[0] % 2 == 1 else x[1]
+    b = y[0] if y[0] % 2 == 1 else y[1]
+    return 1 if a > b else -1 if a < b else 0
+
+lst.sort(key=cmp_to_key(cmp))
+print(lst)
+# 仍然使用sort进行排序，我实现了一个cmp函数，该函数实现了需求中所提到的要求，该函数最终要返回两个元组比较的大小关系，其实cmp_to_key的实现非常简单
+
+def cmp_to_key(mycmp):
+    """Convert a cmp= function into a key= function"""
+    class K(object):
+        __slots__ = ['obj']
+        def __init__(self, obj):
+            self.obj = obj
+        def __lt__(self, other):
+            return mycmp(self.obj, other.obj) < 0
+        def __gt__(self, other):
+            return mycmp(self.obj, other.obj) > 0
+        def __eq__(self, other):
+            return mycmp(self.obj, other.obj) == 0
+        def __le__(self, other):
+            return mycmp(self.obj, other.obj) <= 0
+        def __ge__(self, other):
+            return mycmp(self.obj, other.obj) >= 0
+        __hash__ = None
+    return K
+"""
+它在内部定义了一个类K， 并使用我传入的cmp函数完成了比较关系运算符的重载，函数返回的是一个类，而sort函数的key需要的是一个函数，
+看起来矛盾，但在python中，这样做完全可行，因为类和函数都是callable的，这里把类当成了函数来用。
+在本篇第一段代码中
+lst.sort(key=lambda item: item[0])
+lambda表达式生成的匿名函数返回的是元组的第一个元素进行大小比较，而现在，cmp_to_key返回的是类K，参与比较的是K的对象，
+由于K已经实现了比较关系运算符重载，且算法就是我刚刚实现的cmp函数，这样就最终实现了自定义排序。
+"""

test/偏函数/demo.py

+"""
+1. 偏函数
+偏函数partial是functools 模块里提供的一个函数。和装饰器对比来理解，装饰器改变了一个函数的行为，
+而偏函数不能改变一个函数的行为。偏函数只能根据已有的函数生成一个新的函数，这个新的函数完成已有函数相同的功能，
+但是，这个新的函数的部分参数已被偏函数确定下来
+
+2. 场景示例
+2.1 常规实现
+为了便于理解，我们构造一个使用场景，假设我们的程序要在dest目录下新建一些文件夹，那么常见的实现功能代码如下
+import os
+from os import mkdir
+mkdir(os.path.join('./dest', 'dir1'))
+mkdir(os.path.join('./dest', 'dir2'))
+mkdir(os.path.join('./dest', 'dir3'))
+功能很简单，代码很简洁，但是有个小小的不如意之处，每次都是在dest目录下新建文件夹，既然它这么固定，是不是可以不用传递dest参数呢？
+2.2 偏函数实现
+import os
+from os import mkdir
+from functools import partial
+
+dest_join = partial(os.path.join, './dest')
+mkdir(dest_join('dir1'))
+mkdir(dest_join('dir2'))
+mkdir(dest_join('dir3'))
+
+dest_join是partial创建出来的一个新的函数，这个函数在执行时会调用os.path.join并将'./dest'作为参数传给join
+偏函数将预先确定的参数冻结，起到了缓存的作用，在获得了剩余的参数后，连同之前冻结的确定参数一同传给最终的处理函数。
+虽然看起来代码没有减少，但如果你实际使用就会发现，用了偏函数，免去了反复输入相同参数的麻烦，尤其当这些参数很多很难记忆时
+"""
+
+

test/偏函数/singledispatch.py

+from functools import singledispatch
+
+class Stu(object):
+    def __init__(self, name):
+        self.name = name
+
+    def wake_up(self):
+        print('起床')
+
+class Police(object):
+    def __init__(self, name):
+        self.name = name
+
+    def wake_up(self):
+        print('起床')
+
+
+@singledispatch
+def wake_up(obj):
+    print('不处理')
+
+
+@wake_up.register(Stu)
+def wake_stu(obj):
+    print('今天周末休息,让孩子们再睡一会')
+
+
+@wake_up.register(Police)
+def wake_police(obj):
+    print('警察很辛苦,又要起床了')
+    obj.wake_up()
+
+
+stu = Stu('小明')
+police = Police('小明爸爸')
+
+wake_up(stu)
+wake_police(police)
+wake_up('一个字符串')

test/偏函数/wraps.py

+import time
+from functools import wraps
+
+
+def cost(func):
+    @wraps(func)
+    def warpper(*args, **kwargs):
+        t1 = time.time()
+        res = func(*args, **kwargs)
+        t2 = time.time()
+        print(func.__name__ + "执行耗时" +  str(t2-t1))
+        return res
+    return warpper
+
+@cost
+def test(sleep_time):
+    """
+    测试装饰器
+    :param sleep_time:
+    :return:
+    """
+    time.sleep(sleep_time)
+
+
+print(test.__name__)
+print(test.__doc__)

test/内置函数/test.py

+
+
+
+# key参数，表示使用指定的方法来比较大小，而不是使用原数据比较大小
+x = (2, 3, 4, 5)
+print(max(x))
+
+print(max(x, key=lambda z: 1 / z))
+
+############################### collections #################################
+

test/序列化/test1.py

+import sys
+
+import msgpack
+
+stu = {
+    'name': 'lili',
+    'age': 18,
+    'score': 100
+}
+
+msg_str = msgpack.packb(stu)
+print(msg_str)
+print(len(msg_str))
+print(sys.platform)
+print(sys.byteorder)
+print(sys.modules)
+print(sys.thread_info)
+print(sys.implementation)
+print(sys.hash_info)
+print(sys.getwindowsversion())
+print(sys.getrecursionlimit())

test/异常/test.py

+"""
+1. try-except
+2. try-except-except
+3. try-except-else
+4. try-except-finally
+"""

test/正则/demo.py

+# -*- coding: UTF-8 -*-
+
+import re
+print(re.match('www', 'www.runoob.com').span())  # 在起始位置匹配
+print(re.match('com', 'www.runoob.com'))         # 不在起始位置匹配
+
+line = "Cats are smarter than dogs";
+
+matchObj = re.match(r'dogs', line, re.M|re.I)
+if matchObj:
+    print("match --> matchObj.group() : ", matchObj.group())
+else:
+    print("No match!!")
+
+matchObj = re.search(r'dogs', line, re.M|re.I)
+if matchObj:
+    print("search --> searchObj.group() : ", matchObj.group())
+else:
+    print("No match!!")
+
+phone = "2004-959-559 # 这是一个国外电话号码"
+
+# 删除字符串中的 Python注释
+num = re.sub(r'#.*$', "", phone)
+print("电话号码是: ", num)
+
+# 删除非数字(-)的字符串
+num = re.sub(r'\D', "", phone)
+print("电话号码是 : ", num)

test/游戏/Food.py

+import pygame
+
+STEP = 44
+
+
+class Food():
+    def __init__(self, x, y, surface):
+        self.x = x * STEP
+        self.y = y * STEP
+        self.surface = surface
+        self.image = pygame.image.load("food.png").convert()
+
+    def draw(self):
+        self.surface.blit(self.image, (self.x, self.y))
+
+class Snake():
+    def __init__(self, x, y, surface):
+        self.x = [x*STEP]
+        self.y = [y*STEP]      # 用两个列表来存储贪吃蛇每个节点的位置
+        self.length = 1        # 贪吃蛇的长度
+        self.direction = 0     # 0表示向右, 1表示向下, 2表示向左, 3表示向上
+        self.image = pygame.image.load("snake.png").convert()       # 加载蛇
+        self.surface = surface
+        self.step = 44         # 运动步长
+        self.updateCount = 0     # 更新次数
+
+        # 虽然有这么多节点,但是有length来控制界面上画出多少蛇的节点
+        for i in range(1, 100):
+            self.x.append(-100)
+            self.y.append(-100)
+
+    def draw(self):
+        for i in range(self.length):
+            self.surface.blit(self.image, (self.x[i],self.y[i]))
+
+    def moveRight(self):
+        self.direction = 0
+
+    def moveLeft(self):
+        self.direction = 2
+
+    def moveUp(self):
+        self.direction = 3
+
+    def moveDown(self):
+        self.direction = 1
+
+    def update(self):
+        self.updateCount += 1
+        if self.updateCount > 2:
+            for i in range(self.length-1, 0, -1):
+                self.x[i] = self.x[i-1]
+                self.y[i] = self.y[i-1]
+            if self.direction == 0:
+                self.x[0] = self.x[0] + self.step    # 向右
+            if self.direction == 1:
+                self.y[0] = self.y[0] + self.step    # 向下
+            if self.direction == 2:
+                self.x[0] = self.x[0] - self.step    # 向左
+            if self.direction == 3:
+                self.y[0] = self.y[0] - self.step    # 向上
+            self.updateCount = 0

test/游戏/SnakeGame.py

+import random
+
+from pygame.locals import *
+import pygame
+import time
+
+from test.游戏.Food import Food, Snake, STEP
+
+
+class SnakeGame():
+    def __init__(self):
+        self.width = 800
+        self.height = 600
+        self._running = False
+
+
+    def init(self):
+        pygame.init()  #初始化所有导入的pygame模块
+        # 初始化一个准备显示的窗口或屏幕
+        self._display_surf = pygame.display.set_mode((self.width,self.height), pygame.HWSURFACE)
+        self.food = Food(5, 5, self._display_surf)
+        self.snake = Snake(1, 1, self._display_surf)
+        self._running = True
+
+    def run(self):
+        self.init()
+        while self._running:
+            pygame.event.pump()     # 内部处理pygame事件处理程序
+            self.listen_keybord()   # 监听键盘上下左右键
+            self.loop()
+            self.render()
+            time.sleep(0.05)
+
+    def listen_keybord(self):
+        keys = pygame.key.get_pressed()
+
+        if (keys[K_RIGHT]):
+            self.snake.moveRight()
+
+        if (keys[K_LEFT]):
+            self.snake.moveLeft()
+
+        if (keys[K_UP]):
+            self.snake.moveUp()
+
+        if (keys[K_DOWN]):
+            self.snake.moveDown()
+
+        if (keys[K_ESCAPE]):
+            self._running = False
+
+    def render(self):
+        self._display_surf.fill((0, 0, 0))    # 游戏界面填充为黑色
+        self.food.draw()        # 画出食物
+        self.snake.draw()       # 画出蛇
+        pygame.display.flip()   # 刷新屏幕
+
+
+    def loop(self):
+        self.snake.update()
+        self.eat()
+        self.faild_check()
+
+    def faild_check(self):
+        # 检查是否吃到了自己
+        for i in range(2,self.snake.length):
+            if self.isCollision(self.snake.x[0], self.snake.y[0], self.snake.x[i], self.snake.y[i],40):
+                print('吃到自己了')
+                exit(0)
+
+        if self.snake.x[0] < 0 or self.snake.x[0] > self.width \
+                or self.snake.y[0] < 0 or self.snake.y[0] > self.height:
+            print('出边界了')
+            exit(0)
+
+    def eat(self):
+        if self.isCollision(self.food.x, self.food.y, self.snake.x[0], self.snake.y[0], 40):
+            self.food.x = random.randint(2, 9)*STEP
+            self.food.y = random.randint(2, 9)*STEP
+            self.snake.length += 1      # 蛇的长度加1
+
+
+
+    @staticmethod
+    def isCollision(x1, y1, x2, y2, bsize):
+        if x1 >= x2 and x1 <= x2 + bsize:
+            if y1 >= y2 and y1 <= y2 + bsize:
+                return True
+        return False
+
+if __name__ == '__main__':
+    snake = SnakeGame()
+    snake.run()

test/算法/冒泡.py

+
+def pop_sort(lst):
+    for i in range(len(lst)-1, 0, -1):
+        move_max(lst, i)
+
+
+def move_max(lst, max_index):
+    for i in range(max_index):
+        if lst[i] > lst[i+1]:
+            lst[i], lst[i+1] = lst[i+1], lst[i]
+
+if __name__ == '__main__':
+    lst = [4, 1, 7, 2, 3, 6]
+    # pop_sort(lst)
+    # print(lst)
+    for j in range(len(lst) - 1, 0, -1):
+        for i in j:
+            if lst[i] > lst[i+1]:
+                lst[i], lst[i+1] = lst[i+1], lst[i]
+

test/算法/插入.py

+def insert(lst, index):
+    if lst[index-1] < lst[index]:
+        return
+
+    tmp = lst[index]
+    tmp_index = index
+    while tmp_index > 0 and lst[tmp_index-1] > tmp:
+        lst[tmp_index] = lst[tmp_index-1]
+        tmp_index -= 1
+    lst[tmp_index] = tmp
+
+
+def insert_sort(lst):
+    for i in range(1, len(lst)):
+        insert(lst, i)
+
+
+if __name__ == '__main__':
+    lst = [1, 6, 2, 7, 5]
+    insert_sort(lst)
+    print(lst)

test/算法/选择.py

+"""
+假设有一个序列，a[0],a[1],a[2]...a[n]现在，对它进行排序。我们先从0这个位置到n这个位置找出最小值，然后将这个最小值与a[0]交换，
+然后呢，a[1]到a[n]就是我们接下来要排序的序列
+我们可以从1这个位置到n这个位置找出最小值，然后将这个最小值与a[1]交换，之后，a[2]到a[n]就是我们接下来要排序的序列
+每一次，我们都从序列中找出一个最小值，然后把它与序列的第一个元素交换位置，这样下去，待排序的元素就会越来越少，直到最后一个
+"""
+
+
+def select_sort(lst):
+    for i in range(len(lst)):
+        min = i
+        for j in range(min, len(lst)):
+            # 寻找min 到len(lst)-1 这个范围内的最小值
+            if lst[min] > lst[j]:
+                min = j
+        lst[i], lst[min] = lst[min], lst[i]
+
+
+lst = [2, 6, 1, 8, 2, 4, 9]
+select_sort(lst)
+print(lst)

test/类型标注/test1.py

+from typing import TypeVar, Generic, List
+
+
+T = TypeVar('T')
+
+
+class Stack(Generic[T]):
+    def __init__(self):
+        self.data: List[T] = []
+
+    def push(self, item: T):
+        self.data.append(item)
+
+    def pop(self) -> T:
+        return self.data.pop(-1)
+
+    def top(self) -> T:
+        return self.data[-1]
+
+    def size(self) -> int:
+        return len(self.data)
+
+    def is_empty(self) -> bool:
+        return len(self.data) == 0
+
+stack = Stack[int]()
+stack.push('3')
+stack.push('5')
+print(stack.pop())

test/设计模式/简单工厂模式/demo1.py

 
 
 fruit2 = OrangeFactory().create_fruit()
-fruit2.make_juice()   
+fruit2.make_juice()

test/语法/datetime/test.py

+import datetime
+import time
+
+# # 今天的日期
+# print("今天的日期是:", datetime.date.today())
+#
+# print("使用时间戳创建日期", datetime.date.fromtimestamp(1234567896))
+#
+# print("使用公历序数创建的日期：", datetime.date.fromordinal(1))
+#
+# today = datetime.date(year=2020,month=8,day=31)   #  使用参数创建日期
+#
+# print('date对象的年份:', today.year)
+#
+# print('date对象的月份:', today.month)
+#
+# print('date对象的日:', today.day)
+#
+# print("date对象的struct_time结构为：",today.timetuple())
+#
+# print("返回当前公历日期的序数:",today.toordinal())   #  与fromordinal函数作用相反
+#
+# print("当前日期为星期(其中：周一对应0):{}".format(today.weekday()))
+#
+# print("当前日期为星期(其中：周一对应1):{}".format(today.isoweekday()))
+#
+# print("当前日期的年份、第几周、周几(其中返回为元组):",today.isocalendar())
+#
+# print("以ISO 8601格式‘YYYY-MM-DD’返回date的字符串形式：",today.isoformat())
+#
+# print("返回一个表示日期的字符串(其格式如：Mon Aug 31 00:00:00 2020):",today.ctime())
+#
+# print("指定格式为：",today.strftime("%Y/%m/%d"))
+#
+# print("替换后的日期为：",today.replace(2019,9,29))
+#
+# create_time = datetime.time(hour=11,minute=18,second=31)   #  使用参数创建日期
+#
+# print('create_time对象的小时为:', create_time.hour)
+#
+# print('create_time对象的分钟为:', create_time.minute)
+#
+# print('create_time对象的秒数为:', create_time.second)
+#
+# print("返回create_time的字符串形式：",create_time.isoformat())
+#
+# print("指定格式为：",create_time.strftime("%H/%M/%S"))
+#
+# print("替换后的时间为：",create_time.replace(20,9,29))
+#
+# print("现在的时间是：",datetime.datetime.today())
+#
+# print("返回现在的时间是：",datetime.datetime.now())
+#
+# print("当前UTC日期和时间是：",datetime.datetime.utcnow())
+#
+# print("对应时间戳的日期和时间是：",datetime.datetime.fromtimestamp(1234567896))
+#
+# print("对应UTC时间戳的日期和时间是：",datetime.datetime.utcfromtimestamp(1234567896))
+#
+# print("公历序列对应的日期和时间是：",datetime.datetime.fromordinal(1))
+#
+# print("日期和时间的合体为：",datetime.datetime.combine(datetime.date(2020, 8, 31), datetime.time(12, 12, 12)))
+#
+# now = datetime.datetime(2020,8,31,12,10,10)
+#
+# print("年为：",now.year)
+#
+# print("月为：",now.month)
+#
+# print("日为：",now.day)
+#
+# print("小时为：",now.hour)
+#
+# print("分钟为：",now.minute)
+#
+# print("秒数为：",now.second)
+#
+# print('当前日期为:', now.date() )
+#
+# print('当前时间:', now.time() )
+#
+# print("返回struct_time为",now.timetuple())   #  和date一样
+#
+# print("返回UTC的struct_time为",now.utctimetuple())
+#
+# print("返回的公历序列数为：",now.toordinal())   #  和date一样
+#
+# print("返回标准日期格式为：",now.isoformat())   #  和date一样
+#
+# print("返回的周几(1表示周一)：",now.isoweekday())    #  和date一样
+#
+# print("返回的周几(0表示周一)：",now.weekday())    #  和date一样
+#
+# print("now.isocalendar():", now.isocalendar())  #  和date一样
+#
+# print("now.ctime():",now.ctime())   #  和date一样
+#
+# print("格式化时间为：",now.strftime('%Y/%m/%d %H:%M:%S'))   #  把日期按照format指定的格式进行格式化
+#
+# print(datetime.datetime.strptime("2020/12/29 8:8:00",'%Y/%m/%d %H:%M:%S'))
+
+current_time = 1577761708
+date_time = datetime.datetime.fromtimestamp(current_time)
+print(date_time)
+print(time.localtime())

test/语法/for/demo.py

+
+magicians = ['alice', 'david', 'carolina']
+for magician in magicians:
+    print(magician)
+
+print(0b1101010)
+
+value = int('1101010', 2)
+print(value)        # 106
+
+value = int('125', 8)
+print(value)        # 85
+
+value = int('3f2a1', 16)
+print(value)        # 258721
+
+print(bin(106))     # 0b1101010 十进制转二进制
+print(oct(85))      # 0o125     十进制转八进制
+print(hex(258721))  # 0x3f2a1   十进制转十六进制
+
+text = '1aa2'
+print(text.split('a'))
+
+# 1. 将字符串 "abcd" 转成大写
+print("abcd".upper())
+# 2. 计算字符串 "cd" 在 字符串 "abcd"中出现的位置
+print("abcd".index('cd'))
+print("abcd".find('cd'))
+# 3. 字符串 "a,b,c,d" ，请用逗号分割字符串，分割后的结果是什么类型的？
+print("a,b,c,d".split(','))
+# 4. "{name}喜欢{fruit}".format(name="李雷") 执行会出错，请修改代码让其正确执行
+print("{name}喜欢{fruit}".format(name="李雷", fruit='水果'))
+# 5. string = "Python is good", 请将字符串里的Python替换成 python,并输出替换后的结果
+print("Python is good".replace("Python", "python"))
+# 6. 有一个字符串 string =  "python修炼第一期.html"，请写程序从这个字符串里获得.html前面的部分，要用尽可能多的方式来做这个事情
+print("python修炼第一期.html".split('.')[0])
+# 7. 如何获取字符串的长度？
+# 8. "this is a book",请将字符串里的book替换成apple
+# 9. "this is a book", 请用程序判断该字符串是否以this开头
+# 10. "this is a book", 请用程序判断该字符串是否以apple结尾
+# 11. "This IS a book"， 请将字符串里的大写字符转成小写字符
+# 12. "This IS a book"， 请将字符串里的小写字符，转成大写字符
+# 13. "this is a book\n"， 字符串的末尾有一个回车符，请将其删除

test/语法/list/demo.py

+bicycles = ['trek', 'cannondale', 'redline', 'specialized']
+print(bicycles)
+print(bicycles[0])
+print(bicycles[0].title())
+print(bicycles[-1])
+
+motorcycles = ['honda', 'yamaha', 'suzuki']
+print(motorcycles)
+motorcycles[0] = 'ducati'
+print(motorcycles)
+motorcycles.append('ducati')
+print(motorcycles)
+motorcycles.insert(0, 'ducati')
+print(motorcycles)
+del motorcycles[0]
+print(motorcycles)
+popped_motorcycle = motorcycles.pop()
+print(motorcycles)
+print(popped_motorcycle)
+
+# 使用方法 sort()对列表进行永久性排序
+cars = ['bmw', 'audi', 'toyota', 'subaru']
+cars.sort()
+print(cars)
+cars.sort(reverse=True)
+print(cars)
+
+# 使用函数 sorted()对列表进行临时排序
+cars = ['bmw', 'audi', 'toyota', 'subaru']
+print(cars)
+print(sorted(cars))
+print(sorted(cars, reverse=True))
+print(cars.reverse())
+print(len(cars))

test/语法/statistics_test/test.py

+import statistics
+
+lst = [1, 4, 5, 7, 1, 3, 6, 9, 19]
+
+print(statistics.mean(lst))             # 算数平均值
+print(statistics.harmonic_mean(lst))    # 调和平均值
+print(statistics.median(lst))       # 中位数
+print(statistics.median_low(lst))   # 数据的第一个中位数（总数为偶数时有两个中位数）
+print(statistics.median_high(lst))  # 数据的第二个中位数
+print(statistics.median_grouped(lst))   # 分组数据的中位数的均值
+print(statistics.mode(lst))         # 离散数据的模式, 数据中最常见的值
+
+print(statistics.pstdev(lst))       # 数据总体的标准差
+print(statistics.pvariance(lst))    # 数据总体的方差
+print(statistics.stdev(lst))        # 数据样本的标准差
+print(statistics.variance(lst))     # 数据样本的方差

test/语法/time/test.py

+import time
+
+# 获取当前时间戳 1685344329.938672
+print(time.time())
+
+# 获取当前时间，表示为计算机可处理的时间格式
+print(time.gmtime())
+
+# 时间格式化：将时间以合理的方式展示出来
+print(time.strftime("%Y-%m-%d %H:%M:%S", time.gmtime()))
+print(time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time())))
+print(time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))
+#
+print(time.strptime("2023-05-29 07:21:07", "%Y-%m-%d %H:%M:%S"))
+
+# 返回一个CPU级别的精确时间计数值, 单位为秒， 由于这个计算值七点不确定，连续调用差值才有意义
+print(time.perf_counter())
+
+# 获取当前时间
+print(time.localtime(time.time()))
+print(time.localtime())
+
+# 接受时间元组并返回一个可读的形式为"Tue Dec 11 18:07:14 2008"（2008年12月11日 周二18时07分14秒）的24个字符的字符串。
+print(time.asctime(time.localtime(time.time())))
+print(time.asctime(time.localtime()))
+# 获取当前时间并以易读方式表示，返回字符串
+print(time.ctime())  # Mon May 29 15:16:00 2023
+
+# 返回格林威治西部的夏令时地区的偏移秒数。如果该地区在格林威治东部会返回负值（如西欧，包括英国）。对夏令时启用地区才能使用。
+print(time.altzone)
+
+#
+start = time.perf_counter()
+start1 = time.process_time()
+time.sleep(1)
+end = time.perf_counter()
+end1 = time.process_time()
+print(end - start)
+print(end1 - start1)
+
+# 接受时间对象并返回时间戳（1970纪元后经过的浮点秒数）
+print(time.mktime(time.localtime()))

test/语法/全局变量.py

+
+def get_mathematical_score():
+    return 90
+
+
+def get_english_score():
+    return 95
+
+
+def get_history_score():
+    return 98
+
+
+def get_score_by_course(course):
+    """
+    根据课程获取考试分数
+    :param course:
+    :return:
+    """
+    global_dict = globals()
+    print(global_dict)
+    func_name = 'get_{course}_score'.format(course=course)
+    func = global_dict.get(func_name)
+    return func()
+
+
+print(get_score_by_course('history'))

test/语法/全局变量1.py

+def func_dispatch(func):
+    registry = {}
+
+    def dispatch(key_word):
+        return registry.get(key_word, registry[object])
+
+    def register(key_word, func=None):
+        if func is None:
+            return lambda f: register(key_word, f)
+
+        registry[key_word] = func
+        return func
+
+    def wrapper(*args, **kw):
+        return dispatch(args[0])(*args, **kw)
+
+    registry[object] = func
+    wrapper.register = register
+    return wrapper
+
+
+@func_dispatch
+def score_dispath(course):
+    return 0
+
+
+@score_dispath.register('mathematical')
+def get_mathematical_score(course):
+    return 90
+
+
+@score_dispath.register('english')
+def get_english_score(course):
+    return 95
+
+
+@score_dispath.register('history')
+def get_history_score(course):
+    return 98
+
+
+def get_score_by_course(course):
+    """
+    根据课程获取考试分数
+    :param course:
+    :return:
+    """
+    return score_dispath(course)
+
+
+print(get_score_by_course('mathematical'))

test/语法/回调.py

+class TestClass(object):
+    def __init__(self):
+        self.fun = 0
+
+    def decorator(self, fun):
+        #通过fun变量实现对传入函数的回调
+        self.fun = fun
+        #仅注册回调函数，将原函数返回，不执行原函数工鞥呢，不改变原函数功能
+        return fun
+
+    def decorator1(self, type):
+        def wrapper(func):
+            if type == 'A':
+                self.fun_A = func
+            if type == 'B':
+                self.fun_B = func
+            return func
+        return wrapper
+
+test = TestClass()
+
+#将decorator_test函数传入test的decorator函数，并执行decorator函数
+@test.decorator
+def decorator_test():
+    print('this is decorator_test')
+
+@test.decorator1('A')
+def decorator_test():
+    print('this is decorator_test A')
+
+@test.decorator1('B')
+def decorator_test():
+    print('this is decorator_test B')
+
+#通过test的fun变量回调decorator_test函数
+test.fun();
+
+test.fun_A ();
+test.fun_B ();

test/读写/csv_test.py

+
+import csv
+
+import numpy as np
+
+with open("data.csv") as f:
+    csv_reader = csv.reader(f)
+    for row in csv_reader:
+        print(row)
+
+import pandas as pd
+df = pd.read_csv("data.csv", encoding="utf-8")
+print(df)
+df_array = np.array(df)  # 将pandas读取的数据转化为array
+df_list = df_array.tolist()  # 将数组转化为list
+print(df_list)
+x = df[['name', 'age']]
+print(x)
+y = df[['name']]
+print(y)

test/读写/data.csv

+name,age
+1,1
+2,2
+3,3

test/读写/demo.py

+"""
+    模式	描述
+    r	以只读的形式打开文件，文件的指针在开头
+    r+	读写，文件指针在开头
+    rb	以二进制的形式，只读文件指针在开头
+    w	只写，文件不存在，则创建新的，存在则覆盖，指针在开头
+    w+	读写，文件不存在，则创建新的，存在则覆盖，指针在开头
+    wb	只写，以二进制的形式
+    a	追加模式，文件指针在结尾
+    a+	读写，不存在则创建，存在直接追加
+    ab	以二进制形式追加
+
+1. close(): 关闭文件---非常重要
+2. read([count]): 读取文件中的内容 count：字节数量
+3. readlines(): 读取所有内容，打包成列表
+4. readline(): 读取一行数据，追加读取，读取过的不能再次读取
+5. seek（offset，[from]）: 修改指针的位置：从from位置移动了offset个字节,
+                          from：0则表示从起始位置，1则表示从当前位置开始，2则表示从末尾开始
+                          offset：要移动的字节数
+6. write(): 向文件中写入内容
+"""
+
+# 写文件
+# with open("hello.txt", 'w') as f:
+#     f.write("hello world")
+
+# 读文件
+with open("hello.txt", 'r') as f:
+    print(f.read())

test/读写/hello.txt

+hello world

util/AliyunSdk.py

 from aliyunsdkcore.client import AcsClient
 from aliyunsdkvod.request.v20170321 import GetPlayInfoRequest
 
-from util import LogUtils
 from vodsdk.AliyunVodUploader import AliyunVodUploader
 from vodsdk.UploadVideoRequest import UploadVideoRequest
 

util/Cv2Utils.py

             fps = video_stream.get('r_frame_rate')
             # duration = video_stream.get('duration')
             # bit_rate = video_stream.get('bit_rate')
-            if width is not None and height is not None:
+            if width is not None and int(width) != 0 and height is not None and int(height) != 0:
                 self.width = int(width)
                 self.height = int(height)
                 self.wh = self.width * self.height * 3
                     self.all_frames = int(nb_frames)
                 up, down = str(fps).split('/')
                 self.fps = int(eval(up) / eval(down))
-                # if duration:
+                if self.fps > 30:
+                    self.__logger.info("获取视频FPS大于30帧, FPS:{}, requestId:{}", self.fps, self.requestId)
+                    self.fps = 30
+                if self.fps < 25:
+                    self.__logger.info("获取视频FPS小于25帧, FPS:{}, requestId:{}", self.fps, self.requestId)
+                    self.fps = 25
+                    # if duration:
                 #    self.duration = float(video_stream['duration'])
                 # self.bit_rate = int(bit_rate) / 1000
                 self.__logger.info("视频信息, width:{}|height:{}|fps:{}|all_frames:{}|bit_rate:{}, requestId:{}",
             command.extend(['-i', self.pullUrl,
                             '-f', 'rawvideo',
                             '-pix_fmt', 'bgr24',
+                            '-r', '30',
                             '-an',
                             '-'])
             self.pull_p = sp.Popen(command, stdout=sp.PIPE)
                             '-i', self.pullUrl,
                             '-f', 'rawvideo',
                             '-pix_fmt', 'bgr24',
+                            '-r', '30',
                             '-an',
                             '-'])
             self.pull_p = sp.Popen(command, stdout=sp.PIPE)
                        '-s', "{}x{}".format(self.w * 2, self.h),
                        '-r', str(self.fps),
                        '-i', '-',  # 指定输入文件
-                       '-g', str(self.fps),
+                       '-g', str(30),
                        '-maxrate', '6000k',
                        # '-profile:v', 'high',
                        '-b:v', '5000k',