From 12378810ee9207536bfa0c264c1bf2a2b0296171 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Martin=20Mo=C5=BEina?= <martin.mozina@fri.uni-lj.si>
Date: Wed, 24 Aug 2016 15:32:22 +0200
Subject: Added several new exercises for Python (related to dictionaries and
 sets).

---
 .../dictionaries/following_words/common.py         | 70 ++++++++++++++++++++++
 python/problems/dictionaries/following_words/en.py | 13 ++++
 python/problems/dictionaries/following_words/sl.py | 36 +++++++++++
 3 files changed, 119 insertions(+)
 create mode 100644 python/problems/dictionaries/following_words/common.py
 create mode 100644 python/problems/dictionaries/following_words/en.py
 create mode 100644 python/problems/dictionaries/following_words/sl.py

(limited to 'python/problems/dictionaries/following_words')

diff --git a/python/problems/dictionaries/following_words/common.py b/python/problems/dictionaries/following_words/common.py
new file mode 100644
index 0000000..501cfd2
--- /dev/null
+++ b/python/problems/dictionaries/following_words/common.py
@@ -0,0 +1,70 @@
+import re
+from python.util import has_token_sequence, string_almost_equal, \
+    string_contains_number, get_tokens, get_numbers, get_exception_desc
+from server.hints import Hint
+
+id = 20610
+number = 11
+visible = True
+
+solution = '''\
+import collections
+
+def following_words(txt):
+    words = txt.split()
+    freq = collections.defaultdict(list)
+    for word, next_word in zip(words, words[1:]):
+        freq[word].append(next_word)
+    return freq
+'''
+
+hint_type = {
+    'final_hint': Hint('final_hint')
+}
+
+def test(python, code):
+    func_name = 'following_words'
+    tokens = get_tokens(code)
+    if not has_token_sequence(tokens, ['def', func_name]):
+        return False, [{'id' : 'no_func_name', 'args' : {'func_name' : func_name}}]
+
+    in_out = [
+        ('in in in in', {'in': ['in', 'in', 'in']}),
+        ('in to in ono in to smo mi', {'smo': ['mi'], 'to': ['in', 'smo'],
+                                       'ono': ['in'], 'in': ['to', 'ono', 'to']}),
+        ('danes je lep dan danes sije sonce',
+         {'lep': ['dan'], 'je': ['lep'], 'dan': ['danes'],
+          'danes': ['je', 'sije'], 'sije': ['sonce']}),
+    ]
+
+    test_in = [(func_name+'("%s")'%str(l[0]), None) for l in in_out]
+    test_out = [l[1] for l in in_out]
+
+    answers = python(code=code, inputs=test_in, timeout=1.0)
+    n_correct = 0
+    tin, tout = None, None
+    for i, (ans, to) in enumerate(zip(answers, test_out)):
+        corr = dict(ans[0]) == to
+        n_correct += corr
+        if not corr:
+            tin = test_in[i][0]
+            tout = to
+
+    passed = n_correct == len(test_in)
+    hints = [{'id': 'test_results', 'args': {'passed': n_correct, 'total': len(test_in)}}]
+    if tin:
+        hints.append({'id': 'problematic_test_case', 'args': {'testin': str(tin), 'testout': str(tout)}})
+    if passed:
+        hints.append({'id': 'final_hint'})
+    return passed, hints
+
+
+def hint(python, code):
+    tokens = get_tokens(code)
+
+    # run one test first to see if there are any exceptions
+    answer = python(code=code, inputs=[(None, None)], timeout=1.0)
+    exc = get_exception_desc(answer[0][3])
+    if exc: return exc
+
+    return None
diff --git a/python/problems/dictionaries/following_words/en.py b/python/problems/dictionaries/following_words/en.py
new file mode 100644
index 0000000..44de7c2
--- /dev/null
+++ b/python/problems/dictionaries/following_words/en.py
@@ -0,0 +1,13 @@
+id = 20610
+name = 'Following words'
+
+description = '''\
+<p>(translation missing)</p>'''
+
+hint = {
+    'plan': '''\
+<p>(translation missing)</p>''',
+
+    'no_input_call': '''\
+<p>(translation missing)</p>''',
+}
diff --git a/python/problems/dictionaries/following_words/sl.py b/python/problems/dictionaries/following_words/sl.py
new file mode 100644
index 0000000..b9d6740
--- /dev/null
+++ b/python/problems/dictionaries/following_words/sl.py
@@ -0,0 +1,36 @@
+import server
+mod = server.problems.load_language('python', 'sl')
+
+
+id = 20610
+name = 'Sledeče besede'
+
+description = '''\
+<p>
+Napišite funkcijo <code>following_words(txt)</code>, ki za vsako besedo <code>b</code>
+v nizu <code>txt</code> zgradi seznam besed, ki v tekstu nastopijo za
+besedo <code>b</code>. Nekaj primerov:
+<pre>
+>>> following_words('in in in in')
+{'in': ['in', 'in', 'in']}
+</pre>
+V besedilu se pojavi samo beseda <code>in</code>; beseda <code>in</code> se pojavi
+na treh mestih za <code>in</code>.
+<pre>
+>>> following_words('in to in ono in to smo mi')
+{'smo': ['mi'], 'to': ['in', 'smo'], 'ono': ['in'], 'in': ['to', 'ono', 'to']}
+</pre>
+Za besedo <code>smo</code> se pojavi samo beseda <code>mi</code>, medtem ko se
+recimo za besedo <code>to</code> pojavita tako beseda <code>smo</code> kot
+tudi beseda <code>in</code>.
+</p>
+'''
+
+plan = []
+
+hint = {
+    'final_hint': ['''\
+<p>Program je pravilen! <br>
+</p>
+'''],
+}
-- 
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