This coding challenge is implements my own version of Word Count that counts all the words from the text files contained in a directory named wc_input and outputs the counts (in alphabetical order) to a file named wc_result.txt, which is placed in a directory named wc_output.
It also implements my own version of a running median algorithm, that calculates the median number of words per line, for each line of the text files in the wc_input directory. If there are multiple files in that directory, the files are combined into a single stream and processed by the running median program in alphabetical order. The resulting running median for each line should is then outputted to a text file named med_result.txt in the wc_output directory.
All the asumptions regarding the text on the FAQ at https://github.com/InsightDataScience/cc-example have been adopted. In addition, it is assumed that typos in punctuation of the sort: "foo,bar" are meant two be two separate words and are therefore separated into "foo" and "bar".
The directories wc_input and wc_output contain a respective blank .gitnignore file, which I deemed as the most elegant solution to ensure the directories were syncronized on the git repo even if they were empty. I prefered this over using mkdir at the run'/sh file because it seemed a cleaner solution. As the files contain no characters nor lines, they do not affect the calculations of the wordCount and the median.
This solution was written using Java, and requires Java 8 for compiling and running.