Typing practice game on console with user's file
- Working on console
- Training with user's file (code, document, etc.)
- Storing results and providing DataFrame of pandas
pip install typro
Execute typro
on your console.
The display of the game like
[################# ] 30.0/60 sec.
Type This : import numpy as np
Your type : import nm_
^
The top line shows the time bar.
Type like the "Type This" line.
If you mistype, the game points that with ^
.
You have to remove the wrong character with Backspace
.
When you fill the line correctrly, you can go the next line with Enter
Press Esc to quit.
optional arguments:
-h, --help show this help message and exit
-t TIME, --time TIME Practice time (sec.)
-p PATH, --path PATH Path to training file
-f FILE, --file FILE Training filename
-w URL, --www URL Training file URL
-l LOGFILE, --logfile LOGFILE Log filename
-m LOGPATH, --logpath LOGPATH Path to log file
-u USER, --user USER User name
-q, --quiet Run without writing log
-o, --order Not shuffle the training data
-r, --ranking Show ranking
-s, --summary Show user summary
-d DATE, --date DATE Date to collect data
Environment variables are used when you don't specify the options.
Environment varibale | option |
---|---|
TYPRO_FILE |
-f |
TYPRO_PATH |
-l |
TYPRO_LOG_PATH |
-m |
Name | description |
---|---|
default | C++ simple code (used as default) |
cmd | Basic unix command and descriptions |
pyplot | Simple plotting with python |
root | ROOT (cern) hist examples |
fortune | Random short fortune |
The -f
option switch the file like typro -f cmd
.
If you want to use your own file, (1) use option (-p
and -f
) or (2) use environment variables.
typro -f root -o
typro -p /path/to/your/file -f your_file
typro -w https://raw.githubusercontent.com/mzks/typro/main/typro/cli.py
The online file will be cached.
typro -s
typro -r -d 3
For example,
- Add training file to
data
. - Enhance training modes (infinitity mode, etc.)
Please freely submit your contribution for GitHub pull request.
As a default, the typing game generates output log in LOGFILE
(default: typro_results.csv
)
The format is csv, pandas friendlly style.
The numeric indexes mean the ASCII code of key which you mistouched.
Users can obtain DataFrame as
import typro
df = typro.get_df()
Simple drawing is plt.plot(df.index, df['speed'])