特点 • 具有多种不不同的数据结构可⽤用，其中包括：字符串串、散列列、列列表、集合、有序集合、位图 (bitmap）、HyperLogLog、地理理坐标（GEO） 特点 • 具有多种不不同的数据结构可⽤用，其中包括：字符串串、散列列、列列表、集合、有序集合、位图 (bitmap）、HyperLogLog、地理理坐标（GEO） • 内存存储和基于多路路复⽤用的事件响应系统，确保了了命令请求的执⾏行行速度和效率 令请求的执⾏行行速度和效率 特点 • 具有多种不不同的数据结构可⽤用，其中包括：字符串串、散列列、列列表、集合、有序集合、位图 (bitmap）、HyperLogLog、地理理坐标（GEO） • 内存存储和基于多路路复⽤用的事件响应系统，确保了了命令请求的执⾏行行速度和效率 • 丰富的附加功能：事务、Lua 脚本、键过期机制、键淘汰机制、多种持久化⽅方式（AOF、RDB、 RDB+AOF RDB+AOF 混合） 特点 • 具有多种不不同的数据结构可⽤用，其中包括：字符串串、散列列、列列表、集合、有序集合、位图 (bitmap）、HyperLogLog、地理理坐标（GEO） • 内存存储和基于多路路复⽤用的事件响应系统，确保了了命令请求的执⾏行行速度和效率 • 丰富的附加功能：事务、Lua 脚本、键过期机制、键淘汰机制、多种持久化⽅方式（AOF、RDB、 RDB+AOF 混合）

[&](widget& w, rect r) { widget.place(r); } ); } void center_bitmaps() { std::array<bitmap, 3> = { , , }; // What now? } 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 6void vertical_ce center_bitmaps() { std::array<bitmap, 3> = { , , }; // What now? } 1 2 3 4 5 6 7 8 7struct widget { rect bounding_box(); void place(rect r); }; struct bitmap { std::array data; std::array<bitmap, 3> = { , , }; 16 // What now? 17 } 18 8void vertical_center(auto const& c) { struct widget { 1 rect bounding_box(); 2 void place(rect r); 3 }; 4 5 struct bitmap { 6 std::array

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Example Bitmap Functions ● All of these functions are related to operating on ‘bitmap images’ -- they are a provided common set of functions ○ Load Bitmap Filename ○ Load Bitmap Filename, Bitmap Number Number ○ Set Current Bitmap Bitmap Number ■ etc. 20A Monumental Moment! (3/3) 21 ● Loops and functions are somewhat related -- both help us reuse blocks of code for computation ● All of these functions related to operating on ‘bitmap images’ -- they are a provided common set of functions ○ Load Bitmap Filename ○ Load Bitmap Filename, Bitmap Number ○ Set Current Bitmap Bitmap Number ■ etc. Again

former type: its raw data is like an XML manifest file. On the other hand, in a resource of type RT_BITMAP (??) the RawData (??) stream isn’t like a BMP file. For this reason, several classes (descendants In the following example, we read a resource file and then dump data of each resource of type RT_BITMAP (??) as a BMP file. program res5; {$mode objfpc} uses Classes, SysUtils, resource, resreader, we included bitmapresource (??) in the uses clause of our program. This way, resources of type RT_BITMAP (??) are created from TBitmapResource (??) class. This class provides a stream, BitmapData (??) that

toggles as an integer bitmask. The latter is suitable for storing a bitmap for a large data-set, e.g. expressing membership or bitmap-type data. As an example of using BitField, let’s say we have a Post automatically managed buffer of bytes, stored in a BlobField. Example usage: class Bitmap(Model): data = BigBitField() bitmap = Bitmap() # Sets the ith bit, e.g. the 1st bit, the 11th bit, the 63rd, etc. bits_to_set bits_to_set: bitmap.data.set_bit(bit_idx) # We can test whether a bit is set using "is_set": assert bitmap.data.is_set(11) assert not bitmap.data.is_set(12) # We can clear a bit: bitmap.data.clear_bit(11)

toggles as an integer bitmask. The latter is suitable for storing a bitmap for a large data-set, e.g. expressing membership or bitmap-type data. As an example of using BitField, let’s say we have a Post automatically managed buffer of bytes, stored in a BlobField. Example usage: class Bitmap(Model): data = BigBitField() bitmap = Bitmap() # Sets the ith bit, e.g. the 1st bit, the 11th bit, the 63rd, etc. bits_to_set bits_to_set: bitmap.data.set_bit(bit_idx) # We can test whether a bit is set using "is_set": assert bitmap.data.is_set(11) assert not bitmap.data.is_set(12) # We can clear a bit: bitmap.data.clear_bit(11)

toggles as an integer bitmask. The latter is suitable for storing a bitmap for a large data-set, e.g. expressing membership or bitmap-type data. As an example of using BitField, let’s say we have a Post automatically managed buffer of bytes, stored in a BlobField. Example usage: class Bitmap(Model): data = BigBitField() bitmap = Bitmap() # Sets the ith bit, e.g. the 1st bit, the 11th bit, the 63rd, etc. bits_to_set bits_to_set: bitmap.data.set_bit(bit_idx) # We can test whether a bit is set using "is_set": assert bitmap.data.is_set(11) assert not bitmap.data.is_set(12) # We can clear a bit: bitmap.data.clear_bit(11)

toggles as an integer bitmask. The latter is suitable for storing a bitmap for a large data-set, e.g. expressing membership or bitmap-type data. As an example of using BitField, let’s say we have a Post automatically managed buffer of bytes, stored in a BlobField. Example usage: class Bitmap(Model): data = BigBitField() bitmap = Bitmap() # Sets the ith bit, e.g. the 1st bit, the 11th bit, the 63rd, etc. bits_to_set bits_to_set: bitmap.data.set_bit(bit_idx) # We can test whether a bit is set using "is_set": assert bitmap.data.is_set(11) assert not bitmap.data.is_set(12) # We can clear a bit: bitmap.data.clear_bit(11)

toggles as an integer bitmask. The latter is suitable for storing a bitmap for a large data-set, e.g. expressing membership or bitmap-type data. As an example of using BitField, let’s say we have a Post automatically managed buffer of bytes, stored in a BlobField. Example usage: class Bitmap(Model): data = BigBitField() bitmap = Bitmap() # Sets the ith bit, e.g. the 1st bit, the 11th bit, the 63rd, etc. bits_to_set previous page) bitmap.data.set_bit(bit_idx) # We can test whether a bit is set using "is_set": assert bitmap.data.is_set(11) assert not bitmap.data.is_set(12) # We can clear a bit: bitmap.data.clear_bit(11)

toggles as an integer bitmask. The latter is suitable for storing a bitmap for a large data-set, e.g. expressing membership or bitmap-type data. As an example of using BitField, let’s say we have a Post automatically managed buffer of bytes, stored in a BlobField. Example usage: class Bitmap(Model): data = BigBitField() bitmap = Bitmap() (continues on next page) 68 Chapter 1. Contents: peewee Documentation bits_to_set: bitmap.data.set_bit(bit_idx) # We can test whether a bit is set using "is_set": assert bitmap.data.is_set(11) assert not bitmap.data.is_set(12) # We can clear a bit: bitmap.data.clear_bit(11)