Metadata-Version: 1.1
Name: wpm
Version: 1.50.0
Summary: Console app for measuring typing speed in words per minute (WPM)
Home-page: https://github.com/cslarsen/wpm
Author: Christian Stigen Larsen
Author-email: csl@csl.name
License: https://www.gnu.org/licenses/agpl-3.0.html
Download-URL: https://github.com/cslarsen/wpm/tarball/v1.50.0
Description: wpm — measure and improve your typing speed
        ===========================================
        |versions| |license| |pypi|
        
        ``wpm`` is a UNIX terminal program for measuring and improving your typing
        speed, which is measured in words per minute (WPM). It depends only on standard
        Python libraries, particularly curses, and thus works with Python 2.7, 3+, PyPy
        and probably others.
        
        Features
        --------
        
        - Over 4900 quotes in the database, shamelessly stolen from typeracerdata.com
        - Extremely low typing latency!
        - Timer starts when you strike the first key
        - Completed text is *darkened*, helping you to focus ahead
        - Keep separate stats for, e.g. type of keyboard, layout etc.
        - Saves race scores in a CSV file that is a superset of TypeRacer's export
          format. Loads fine in Excel as well.
        - Launches quickly in your terminal window for "in-between moments"
        
        Demo
        ----
        
        .. image:: https://asciinema.org/a/JHgfVrf1jIxxl099hdnRcG4Lf.png
          :width: 480 px
          :height: 230 px
          :alt: Screen recording of WPM in action
          :target: https://asciinema.org/a/JHgfVrf1jIxxl099hdnRcG4Lf?size=medium&autoplay=1
        
        Calculating WPM
        ---------------
        
        The WPM is calculated by dividing characters per second by five and then
        multiplying that with 60. This is a well-known formula, but gives slightly
        higher scores than on sites like typeracer.com. It is, however, good enough to
        gauge your typing speed. And it works offline, and with your own texts.
        
        Regarding TypeRacer, I really suggest everyone check it out. I use this program
        merely to warm up before heading over to typeracer.com, where you can race
        against others.
        
        How to get the lowest typing latency
        ------------------------------------
        
        Run outside of tmux, and use a really speedy terminal window. On my macOS
        system, I found the best latency using the built-in Terminal.app, which easily
        beats iTerm. I also found the Kitty terminal to provide very low latency.
        
        I also feel that running it under PyPy provides a little lower latency as well,
        but I haven't timed it. You can install it under PyPy with ``pypy -m pip
        install wpm``.
        
        How to install
        ==============
        
        The recommended way is to install via PyPi
        
        .. code:: bash
        
            $ pip install wpm
        
        The above usually requires ``sudo``. If you don't want to install it
        system-wide, you can use ``pip install wpm --user``.
        
        Remember to check for upgrades with ``pip install --upgrade wpm``. You can also
        install it from the source repository with
        
        .. code:: bash
        
            $ python setup.py install [--user]
        
        To just test the app without installing, type ``make run``.
        
        How to run
        ==========
        
        Just type ``wpm`` to start the program. The timer will start when you press the
        first key. At any time, you can hit ESCAPE to quit.
        
        You can backspace for the current word you're editing, if you make a mistake.
        Mistakes will lower the accuracy score.
        
        If you have problems finding the ``wpm`` file, you can also start it by typing
        ``python -m wpm``. You can also see options with ``python -m wpm --help``.
        
        If you want to type a custom text, run
        
        .. code:: bash
        
            $ wpm --load yourfile.txt
        
        You can also bundle up several texts into a single JSON file, using ``wpm
        --load-json yourfile.json``. It must have the following format:
        
        .. code:: json
        
            [
              {
                "author": "Author Name",
                "title": "Title of Work",
                "text": "The text to type here ..."
                "id": 123,
              },
              ...
            ]
        
        The ``id`` is an optional integer. If you leave it out, an increasing,
        zero-based integer will be used.
        
        Format of race history
        ----------------------
        
        wpm will save scores in a CSV file in `~/.wpm.csv`. This file can be loaded
        directly into Excel. It uses the same format as TypeRacer, with the addition of
        a few extra columns at the end. That means is should be possible to use
        existing TypeRacer score history tools with this file with minor modifications.
        
        The column order is:
        
        ========== ======== =======================================================
        Column     Datatype Explanation
        ---------- -------- -------------------------------------------------------
        race       int      Race number, always increasing and tied to timestamp
        wpm        float    The average WPM for that quote that single time
        accuracy   float    From 0 to 1, where 1 means no mistakes
        rank       int      Always 1
        racers     int      Always 1
        text_id    int      Item number of text in given database
        timestamp  str      UTC timestamp in strptime format `%Y-%m-%d %H:%M:%S.%f`
        database   str      Either "default" or the basename of the file used
        keyboard   str      A user supplied tag for that score
        ========== ======== =======================================================
        
        Should there be any problem saving or loading the score history, it will copy
        the existing file into `~/.wpm.csv.backup` and create a new one.
        
        If you use `--keyboard=...` to specify a keyboard, the next time wpm is
        launched, it will assume that this is the keyboard you are still using. Just
        specify `--keyboard=...` again. The keyboard setting is really just a string
        label you can use to tag races. For example, you could call the keyboard
        `realforce-colemak` or `cherry-red-qwerty` and use that as a basis to perform
        statistical analysis on your typing performance with various setups.
        
        The ~/.wpmrc file
        =================
        
        The first time you start wpm, it writes a `.wpmrc` file to your home directory.
        It allows you to change a few settings, including the colors. It should be
        mostly self-explanatory.
        
        License
        =======
        
        Copyright 2017, 2018 Christian Stigen Larsen
        
        Distributed under the GNU Affero General Public License (AGPL) v3 or later. See
        the file LICENSE.txt for the full license text. This software makes use of open
        source software.
        
        The quotes database is *not* covered by the AGPL!
        
        .. |license| image:: https://img.shields.io/badge/license-AGPL%20v3%2B-blue.svg
            :target: https://www.gnu.org/licenses/agpl-3.0.html
            :alt: Project License
        
        .. |versions| image:: https://img.shields.io/badge/python-2.7%2B%2C%203%2B%2C%20pypy-blue.svg
            :target: https://pypi.python.org/pypi/wpm/
            :alt: Supported Python versions
        
        .. |pypi| image:: https://badge.fury.io/py/wpm.svg
            :target: https://badge.fury.io/py/wpm
        
Keywords: wpm,typing,typist
Platform: unix
Platform: linux
Platform: osx
Platform: cygwin
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: PyPy
