#
# file_dict.py
#
# Examples of functions that perform file-processing
# and/or use a dictionary.
#
# see track_results.txt for a sample file of track-meet results
#

def extract_results(filename, target_school):
    """ extracts and prints track-meet results for the specified target_school
        from the text file named filename.
        inputs: filename is a string specifying the name of a comma-delimited
                  text file containing track-meet results. Each line of the file
                  should have the following form:
                      athlete name,school name,event,result
                target_school is a string specifying the name of the school
                  whose results should be extracted
    """
    file = open(filename, 'r')

    for line in file:
        line = line[:-1]      # chop off newline at end

        fields = line.split(',')
        athlete = fields[0]
        school = fields[1]
        event = fields[2]
        result = fields[3]

        if school == target_school:
            print(athlete, event, result)

    file.close()

def school_counts(filename):
    """ processes a text file containing track-meet results and
        uses a dictionary to compute and print the number of
        results for each school in the file
        input: filename is a string specifying the name of a comma-delimited
                 text file containing track-meet results. Each line of the file
                 should have the following form:
                     athlete name,school name,event,result
    """
    file = open(filename, 'r')

    counts = {}

    for line in file:
        fields = line.split(',')

        school = fields[1]
        if school not in counts:
            counts[school] = 1
        else:
            counts[school] += 1

    file.close()

    print('There are', len(counts), 'schools in all.')
    for school in counts:
        print(school, 'has', counts[school], 'result(s).')

def word_frequencies(filename):
    """ uses the text file with the specified filename to create and return
        a dictionary of word frequencies for words in that text file.
        input: filename is a string specifying the name of a text file,
               which we assume is in the same folder as this Python file
    """
    file = open(filename, 'r')
    text = file.read()      # read it all in at once!
    file.close()

    words = text.split()

    d = {}

    for word in words:
        if word not in d:
            d[word] = 1
        else:
            d[word] += 1

    return d