added datasets, scoring, task, parser

Author: vincentscode

data/a.txt

@@ -0,0 +1,5 @@
+4
+H 3 cat beach sun
+V 2 selfie smile
+V 2 garden selfie
+H 2 garden cat

data/b.txt

@@ -1,5 +1,82 @@
 import numpy as np
 import math
 
+filename = 'data/{}.txt'.format('a')
+
+with open(filename) as f_in:
+    content = f_in.read().split("\n")[:-1]
+
+
+def eval_output(output_data):
+    """
+    ex. output_data
+    [
+        [
+            [1, ["a", "b"]]
+        ],
+        [
+            [2, ["c", "b"]]
+        ],
+        [
+            [3, ["a", "c"]],
+            [4, ["b", "d"]]
+        ],
+        [
+            [5, ["c", "d"]]
+        ],
+        [
+            [6, ["a", "c"]],
+            [7, ["c", "d"]]
+        ]
+    ]
+    """
+    score = 0
+    prev_slide_tags = []
+    for slide in output_data:
+        slide_tags = []
+        for image in slide:
+            slide_tags += image[1]
+        slide_tags = set(slide_tags)
+        common = len(slide_tags.intersection(prev_slide_tags))
+        in_previous_only = len([t for t in prev_slide_tags if t not in slide_tags])
+        in_current_only = len([t for t in slide_tags if t not in prev_slide_tags])
+        minimum = min(common, in_current_only, in_previous_only)
+
+        prev_slide_tags = slide_tags
+        score += minimum
+        # print("Common:", common)
+        # print("In previous only:", in_previous_only)
+        # print("In current only:", in_current_only)
+        # print("Min:", minimum)
+
+        print()
+    return score
+
+
+# print("Score:", eval_output([[[1, ["a", "b"]]], [[2, ["c", "b"]]], [[3, ["a", "c"]], [4, ["b", "d"]]], [[5, ["c", "d"]]], [[6, ["a", "c"]], [7, ["c", "d"]]]]))
+
+
+def create_output_file(output_data):
+    # ex. output_data = [[1], [2], [3, 4], [5], [6, 7]]
+    with open(filename.replace('data', 'out'), "w") as f_out:
+        f_out.write(str(len(output_data)) + '\n')
+        [f_out.write(' '.join([str(x) for x in slide]) + '\n') for slide in output_data]
+
+
+class Image:
+    def __init__(self, image_id, orientation, tags):
+        self.id = image_id
+        self.orientation = orientation
+        self.tags = sorted(tags)
+
+    def __str__(self):
+        return "<Image {}: Orientation: {}, Tags: {}>".format(self.id, self.orientation, self.tags)
+
+
 if __name__ == '__main__':
-    print("HASHCODE 2019")
+    print("HASHCODE 2019!\n")
+
+    images = [Image(content.index(c)-1, c.split(" ")[0], c.split(" ")[2:]) for c in content[1:]]
+    print(len(images), "images loaded")
+    [print(i) for i in images]
+    # create_output_file([[1], [2], [3, 4], [5], [6, 7]])