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rem langauge, which is very comfortable.

Project description

PyPI version Intro MIT

Rem Langauge

Just use PyPI. Recommend to install cytoolz before installing Rem to speed up function invocations.

pip install remlang

Overview

Some Supported Features

See all features at Inrtoduction.

关于中文编程

Rem 支持中文编程, 因为它的tokenizer可以被动态操控,在任意一个Rem模块里,均有一个__compiler__对象, 负责处理输入语句到ast的转换。当下内置了一个无参函数中文编程, 便可以使用中文关键字。

>> call 中文编程
>> 对于 [3, 2] 作为 [甲, 乙] => 甲 * 乙 结束
# 等价于 case [3, 2] as [甲, 乙] => 甲 * 乙 end
=> 6

中英文token对照

{
    '然后': '`then`',
    '当': '`when`',
    '并且': '`and`',
    '或者': '`or`',
    '含于': '`in`',
    '非': '`not`',
    '对于': '`case`',
    '作为': '`as`',
    '结束': '`end`',
    '其中': '`where`',
    '从': '`from`',
    '生成': '`yield`',
    '跳跃到': '`into`',
    '使': '`let`',
    '让': '`let`',
    '真': '`True`',
    '假': '`False`',
    '空': '`None`',
    '导入': '`import`',
    '是': '`is`',
    '之': '.',
}

用事实证明中文编程的反人类。

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