def test_save_learning_state():
# This file will be empty
fake_file = mock_open(read_data='{}')
# Function open returns fake_file
flexmock(builtins, open=fake_file)
# MyVocabulary and LearningState is not saved
flexmock(MyVocabulary, save_my_vocabulary=lambda: None)
my_vocabulary = MyVocabulary()
# Setting my_vocabulary.chosen_words
my_vocabulary.chosen_words = {"koupit": "buy"}
flexmock(LearningState, __del__=lambda: None)
# Setting learning_state with my_vocabulary.chosen_words
learning_state = LearningState(my_vocabulary)
learning_state.save_learning_state()
string = ''
for call in fake_file.return_value.write.mock_calls:
string += (call[1][0])
assert string == '{"round_mistakes": 0,' \
' "successful": 0,' \
' "unsuccessful": 0,' \
' "ordered_words": ["koupit"],' \
' "words": {' \
'"koupit": {"value": "buy", "learned": false,' \
' "round_mistakes": 0, "total_mistakes": 0}}}\n'
def test_check_guessing_successfully(offered_word, answered_word):
__mock()
my_vocabulary = MyVocabulary()
my_vocabulary.chosen_words = {
"koupit": "buy",
"být": "be",
"postavit": "build"
}
learning_process = LearningProcess(LearningState(my_vocabulary))
assert learning_process.check_guessing(offered_word, answered_word)
def test_check_guessing_unsuccessfully(offered_word, answered_word):
__mock()
my_vocabulary = MyVocabulary()
my_vocabulary.chosen_words = {
"koupit": "buy",
"být": "be",
"postavit": "build"
}
flexmock(LearningState, __del__=lambda: None)
learning_process = LearningProcess(LearningState(my_vocabulary))
assert not learning_process.check_guessing(offered_word, answered_word)
def test_get_value(key, value):
__mock()
my_vocabulary = MyVocabulary()
my_vocabulary.chosen_words = {
"koupit": "buy",
"být": "be",
"postavit": "build"
}
learning_state = LearningState(my_vocabulary)
learning_state.reset_learning_state()
assert learning_state.get_value(key) == value
def test_fail_counters(key):
__mock()
my_vocabulary = MyVocabulary()
my_vocabulary.chosen_words = {
"koupit": "buy",
"být": "be",
"postavit": "build"
}
learning_state = LearningState(my_vocabulary)
total_m = learning_state.words[key]['total_mistakes']
unsuccessful = learning_state.unsuccessful
round_m = learning_state.round_mistakes
learning_process = LearningProcess(learning_state)
learning_process.increment_fail_counters(key)
assert learning_state.words[key]['total_mistakes'] == total_m + 1
assert learning_state.round_mistakes == round_m + 1
assert learning_state.unsuccessful == unsuccessful + 1