Metadata-Version: 2.1
Name: figcow
Version: 1.0.2
Summary: Python cowsay that looks like a figlet
Home-page: https://github.com/donno2048/figcow
Author: Elisha Hollander
License: MIT
Description: # figcow
        
        Python cowsay that looks like a figlet.
        
        No dependencies.
        
        ## install
        
        From Pypi:
        
        `pip3 install figcow`
        
        From GitHub:
        
        `pip3 install git+https://github.com/donno2048/figcow`
        
        ## Usage
        
        In cmd:
        
        ```sh
        > figcow Example
         _________________________________________________
        /  _____                                 _        \
        | | ____|__  __  __ _  _ __ ___   _ __  | |  ___  |
        | |  _|  \ \/ / / _` || '_ ` _ \ | '_ \ | | / _ \ |
        | | |___  >  < | (_| || | | | | || |_) || ||  __/ |
        | |_____|/_/\_\ \__,_||_| |_| |_|| .__/ |_| \___| |
        \                                |_|              /
         ‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
             \   ^__^
              \  (oo)\_______
                 (__)\       )\/\
                   ||----w |
                   ||     ||
        ```
        
        In a script:
        
        ```py
        >>> from figcow import cow
        >>> c = cow("Another example", 20) # The second argument is the maximum width of the text
        >>> print(c)
         __________________
        /     _            \
        |    / \    _ __   |
        |   / _ \  | '_ \  |
        |  / ___ \ | | | | |
        | /_/   \_\|_| |_| |
        |                  |
        |         _        |
        |   ___  | |_      |
        |  / _ \ | __|     |
        | | (_) || |_      |
        |  \___/  \__|     |
        |                  |
        |  _               |
        | | |__    ___     |
        | | '_ \  / _ \    |
        | | | | ||  __/    |
        | |_| |_| \___|    |
        |                  |
        |                  |
        |  _ __      ___   |
        | | '__|    / _ \  |
        | | |      |  __/  |
        | |_|       \___|  |
        |                  |
        |                  |
        | __  __  __ _     |
        | \ \/ / / _` |    |
        |  >  < | (_| |    |
        | /_/\_\ \__,_|    |
        |                  |
        |                  |
        |  _ __ ___        |
        | | '_ ` _ \       |
        | | | | | | |      |
        | |_| |_| |_|      |
        |                  |
        |         _        |
        |  _ __  | |  ___  |
        | | '_ \ | | / _ \ |
        | | |_) || ||  __/ |
        | | .__/ |_| \___| |
        | |_|              |
        |                  |
        |                  |
        |                  |
        |                  |
        |                  |
        \                  /
         ‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
             \   ^__^
              \  (oo)\_______
                 (__)\       )\/\
                   ||----w |
                   ||     ||
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
