Windows下C/C++语言实现DayTimeServer编程教程

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资源摘要信息: "IndyDemos.DayTimeServer.Programming.Code.rar_Windows编程_C/C++_" 知识点: 1. Indy库介绍 Indy库是一个开源的网络通信库,广泛应用于Delphi和C++ Builder中,用于实现基于TCP/IP和UDP/IP协议的客户端和服务器端应用程序。它允许开发者快速构建各种网络应用,包括但不限于HTTP服务器、FTP服务器、SMTP客户端等。Indy库具备跨平台的特性,同时也支持Windows平台。 2. DayTime服务协议 DayTime服务是一种网络时间协议,通过网络提供一种简单的方法来获取当前的日期和时间。它使用TCP或UDP协议的13端口,并且遵循RFC 867标准。客户端连接到DayTime服务端后,服务器会返回一个字符串,包含当前日期和时间信息,该信息通常是以ASCII码表示的,方便客户端解析。 3. Windows编程概念 Windows编程指的是使用特定的编程语言和API(应用程序编程接口)来开发在Windows操作系统上运行的软件。C/C++是Windows编程中常用的两种语言,因为它们直接支持Windows API,能够访问底层系统服务和硬件资源。在本例中,Windows编程涉及到使用C/C++语言结合Indy库来实现一个基于DayTime协议的服务器端程序。 4. C/C++编程语言特性 C/C++是高级编程语言,广泛应用于系统编程、嵌入式开发、游戏开发等领域。C++是C语言的一个超集,提供了面向对象的编程特性。它们支持复杂的数据结构、指针操作、内存管理等,允许程序员进行底层优化,实现高效能的应用程序。在这个项目中,程序员需要熟悉C/C++的语法和开发环境来编写代码。 5. 网络编程基础 网络编程是指设计、编写、测试和维护处理网络软件应用的活动。它涉及的主要概念包括协议栈、套接字编程、网络协议和数据封装/解封装等。在本例中,程序员需要利用网络编程的知识来实现DayTimeServer,该服务器能够响应客户端请求,按照DayTime协议返回当前时间。 6. TCP/IP通信协议 TCP/IP(传输控制协议/互联网协议)是用于互联网通信的核心协议。它定义了数据如何在各种网络环境中传输。在本项目中,DayTimeServer将基于TCP/IP协议栈来监听客户端的连接请求,并通过网络发送时间信息。 7. 压缩包文件结构 通常,压缩包中的文件结构会按照项目目录层次进行组织。可能包含源代码文件、头文件、项目配置文件、说明文档等。在这个压缩包中,只有一个文件,即IndyDemos DayTimeServer编程设计代码。这暗示着该项目可能是一个较为简单的示例,用于演示如何使用Indy库来实现一个基于C/C++的DayTime服务端程序。 综上所述,这份资源是关于如何使用C/C++语言结合Indy库,在Windows平台上编程实现一个遵循DayTime协议的服务器端程序。这涉及到Windows编程基础、网络编程、TCP/IP协议的应用,以及熟悉C/C++语言的编程技巧。通过这样的项目实践,开发者可以更深入地理解网络服务端的设计与实现,提高解决实际问题的能力。

/var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:2: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['cluster_label'] = db.labels_ /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:8: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['hour'] = device_df['timestamp'].map(lambda x: time.localtime(x).tm_hour) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:9: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_night'] = device_df['hour'].map(lambda x: 1 if x >= 22 or x < 6 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:10: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_daytime'] = device_df['hour'].map(lambda x: 1 if x >= 10 or x < 17 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_weekend'] = device_df['timestamp'].map(lambda x: 1 if datetime.datetime.utcfromtimestamp(x).weekday() >= 5 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:18: UserWarning: Boolean Series key will be reindexed to match DataFrame index. night_cnt = device_cluster_df[device_df['is_night'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:19: UserWarning: Boolean Series key will be reindexed to match DataFrame index. daytime_cnt = device_cluster_df[device_df['is_daytime'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:20: UserWarning: Boolean Series key will be reindexed to match DataFrame index. weekend_cnt = device_cluster_df[device_df['is_weekend'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:21: UserWarning: Boolean Series key will be reindexed to match DataFrame index. weekday_cnt = device_cluster_df[device_df['is_weekend'] == 0]['event_day'].drop_duplicates().count()jupyter notebook出现这段报错的原因

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/var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:2: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['cluster_label'] = db.labels_ /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:8: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['hour'] = device_df['timestamp'].map(lambda x: time.localtime(x).tm_hour) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:9: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_night'] = device_df['hour'].map(lambda x: 1 if x >= 22 or x < 6 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:10: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_daytime'] = device_df['hour'].map(lambda x: 1 if x >= 10 or x < 17 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_weekend'] = device_df['timestamp'].map(lambda x: 1 if datetime.datetime.utcfromtimestamp(x).weekday() >= 5 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:18: UserWarning: Boolean Series key will be reindexed to match DataFrame index. night_cnt = device_cluster_df[device_df['is_night'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:19: UserWarning: Boolean Series key will be reindexed to match DataFrame index. daytime_cnt = device_cluster_df[device_df['is_daytime'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:20: UserWarning: Boolean Series key will be reindexed to match DataFrame index. weekend_cnt = device_cluster_df[device_df['is_weekend'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:21: UserWarning: Boolean Series key will be reindexed to match DataFrame index. weekday_cnt = device_cluster_df[device_df['is_weekend'] == 0]['event_day'].drop_duplicates().count() ​解释一下这段信息为什么出现

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