How to use contains_entry method in assertpy

Best Python code snippet using assertpy_python

iwnlp_wrapper.py

Source:iwnlp_wrapper.py

...26        if key in self.lemmatizer:27            wrong_entry = {"POS": pos, "Form": form, "Lemma": lemma}28            if wrong_entry in self.lemmatizer[key]:29                self.lemmatizer[key].remove(wrong_entry)30    def contains_entry(self, word, pos=None, ignore_case=False):31        key = word.lower().strip()32        if not pos:33            if ignore_case:34                return key in self.lemmatizer35            else:36                return key in self.lemmatizer and any(filter(lambda x: x["Form"] == word, self.lemmatizer[key]))37        elif not isinstance(pos, list):38            if ignore_case:39                return key in self.lemmatizer and any(filter(lambda x: x["POS"] == pos, self.lemmatizer[key]))40            else:41                return key in self.lemmatizer and any(42                    filter(lambda x: x["POS"] == pos and x["Form"] == word, self.lemmatizer[key]))43        else:44            for pos_entry in pos:45                if self.contains_entry(word, pos_entry, ignore_case):46                    return True47            return False48    def get_entries(self, word, pos=None, ignore_case=False):49        entries = []50        key = word.lower().strip()51        if not pos:52            if ignore_case:53                entries = self.lemmatizer[key]54            else:55                entries = list(filter(lambda x: x["Form"] == word, self.lemmatizer[key]))56        elif not isinstance(pos, list):57            if ignore_case:58                entries = list(filter(lambda x: x["POS"] == pos, self.lemmatizer[key]))59            else:60                entries = list(filter(lambda x: x["POS"] == pos and x["Form"] == word, self.lemmatizer[key]))61        else:62            for pos_entry in pos:63                if self.contains_entry(word, pos=pos_entry, ignore_case=ignore_case):64                    entries.extend(self.get_entries(word, pos_entry, ignore_case))65        return entries66    def get_lemmas(self, word, pos=None, ignore_case=False):67        """68        Return all lemmas for a given word. This method assumes that the specified word is present in the dictionary69        :param word: Word that is present in the IWNLP lemmatizer70        """71        entries = self.get_entries(word, pos, ignore_case)72        lemmas = list(set([entry["Lemma"] for entry in entries]))73        return sorted(lemmas)74    def lemmatize_plain(self, word, ignore_case=False):75        if self.contains_entry(word, ignore_case=ignore_case):76            return self.get_lemmas(word, ignore_case=ignore_case)77        else:78            return None79    def lemmatize(self, word, pos_universal_google):80        """81        Python port of the lemmatize method, see https://github.com/Liebeck/IWNLP.Lemmatizer/blob/master/IWNLP.Lemmatizer.Predictor/IWNLPSentenceProcessor.cs82        """83        if pos_universal_google == "NOUN":84            if self.contains_entry(word, "Noun"):85                return self.get_lemmas(word, "Noun")86            elif self.contains_entry(word, "X"):87                return self.get_lemmas(word, "X")88            elif self.contains_entry(word, "AdjectivalDeclension"):89                return self.get_lemmas(word, "AdjectivalDeclension")90            elif self.contains_entry(word, ["Noun", "X"], ignore_case=True):91                return self.get_lemmas(word, ["Noun", "X"], ignore_case=True)92            else:93                return None94        elif pos_universal_google == "ADJ":95            if self.contains_entry(word, "Adjective"):96                return self.get_lemmas(word, "Adjective")97            elif self.contains_entry(word, "Adjective", ignore_case=True):98                return self.get_lemmas(word, "Adjective", ignore_case=True)99            # Account for possible errors in the POS tagger. This order was fine-tuned in terms of accuracy100            elif self.contains_entry(word, "Noun", ignore_case=True):101                return self.get_lemmas(word, "Noun", ignore_case=True)102            elif self.contains_entry(word, "X", ignore_case=True):103                return self.get_lemmas(word, "X", ignore_case=True)104            elif self.contains_entry(word, "Verb", ignore_case=True):105                return self.get_lemmas(word, "Verb", ignore_case=True)106            else:107                return None108        elif pos_universal_google in ["VERB", "AUX"]:109            if self.contains_entry(word, "Verb", ignore_case=True):110                return self.get_lemmas(word, "Verb", ignore_case=True)111            else:112                return None113        else:...

customIWNLPLemmatizer.py

Source:customIWNLPLemmatizer.py

...17        if key in self.lemmatizer:18            wrong_entry = {"POS": pos, "Form": form, "Lemma": lemma}19            if wrong_entry in self.lemmatizer[key]:20                self.lemmatizer[key].remove(wrong_entry)21    def contains_entry(self, word, pos=None, ignore_case=False):22        key = word.lower().strip()23        if not pos:24            if ignore_case:25                return key in self.lemmatizer26            else:27                return key in self.lemmatizer and any(filter(lambda x: x["Form"] == word, self.lemmatizer[key]))28        elif not isinstance(pos, list):29            if ignore_case:30                return key in self.lemmatizer and any(filter(lambda x: x["POS"] == pos, self.lemmatizer[key]))31            else:32                return key in self.lemmatizer and any(33                    filter(lambda x: x["POS"] == pos and x["Form"] == word, self.lemmatizer[key]))34        else:35            for pos_entry in pos:36                if self.contains_entry(word, pos_entry, ignore_case):37                    return True38            return False39    def get_entries(self, word, pos=None, ignore_case=False):40        entries = []41        key = word.lower().strip()42        if not pos:43            if ignore_case:44                entries = self.lemmatizer[key]45            else:46                entries = list(filter(lambda x: x["Form"] == word, self.lemmatizer[key]))47        elif not isinstance(pos, list):48            if ignore_case:49                entries = list(filter(lambda x: x["POS"] == pos, self.lemmatizer[key]))50            else:51                entries = list(filter(lambda x: x["POS"] == pos and x["Form"] == word, self.lemmatizer[key]))52        else:53            for pos_entry in pos:54                if self.contains_entry(word, pos=pos_entry, ignore_case=ignore_case):55                    entries.extend(self.get_entries(word, pos_entry, ignore_case))56        return entries57    def get_lemmas(self, word, pos=None, ignore_case=False):58        """59        Return all lemmas for a given word. This method assumes that the specified word is present in the dictionary60        :param word: Word that is present in the IWNLP lemmatizer61        """62        entries = self.get_entries(word, pos, ignore_case)63        lemmas = list(set([entry["Lemma"] for entry in entries]))64        return sorted(lemmas)65    def lemmatize_plain(self, word, ignore_case=False):66        if self.contains_entry(word, ignore_case=ignore_case):67            return self.get_lemmas(word, ignore_case=ignore_case)68        else:69            return None70    def lemmatize(self, word, udPos):71        """72        Python port of the lemmatize method, see https://github.com/Liebeck/IWNLP.Lemmatizer/blob/master/IWNLP.Lemmatizer.Predictor/IWNLPSentenceProcessor.cs73        """74        # do not process empty strings75        if(not(word)):76            raise ValueError("Empty String!")77        # valid pos = N,V,ADJ,ADV78        elif(not(udPos in ["NOUN","VERB","ADJ","ADV","AUX"])):79            return word80        if udPos == 'NOUN':81            if len(word) > 1 and word[0].islower():82                word = word[0].upper() + word[1:]83        else:84            word = word.lower()85        if udPos == "NOUN":86            if self.contains_entry(word, "Noun"):87                return self.get_lemmas(word, "Noun")88            elif self.contains_entry(word, "X"):89                return self.get_lemmas(word, "X")90            elif self.contains_entry(word, "AdjectivalDeclension"):91                return self.get_lemmas(word, "AdjectivalDeclension")92            elif self.contains_entry(word, ["Noun", "X"], ignore_case=True):93                return self.get_lemmas(word, ["Noun", "X"], ignore_case=True)94            else:95                return None96        elif udPos in ["ADJ", "ADV"]:97            if self.contains_entry(word, "Adjective"):98                return self.get_lemmas(word, "Adjective")99            elif self.contains_entry(word, "Adjective", ignore_case=True):100                return self.get_lemmas(word, "Adjective", ignore_case=True)101            # Account for possible errors in the POS tagger. This order was fine-tuned in terms of accuracy102            elif self.contains_entry(word, "Noun", ignore_case=True):103                return self.get_lemmas(word, "Noun", ignore_case=True)104            elif self.contains_entry(word, "X", ignore_case=True):105                return self.get_lemmas(word, "X", ignore_case=True)106            elif self.contains_entry(word, "Verb", ignore_case=True):107                return self.get_lemmas(word, "Verb", ignore_case=True)108            else:109                return None110        elif udPos in ["VERB", "AUX"]:111            if self.contains_entry(word, "Verb", ignore_case=True):112                return self.get_lemmas(word, "Verb", ignore_case=True)113            else:114                return None115        else:...

test_iwnlp_wrapper.py

Source:test_iwnlp_wrapper.py

...28    def test_lemmatize_plain_example8(self):29        predicted = self.iwnlp.lemmatize_plain('ein')30        self.assertEqual(predicted, ['ein', 'einen'])31    def test_contains_entry_example1(self):32        self.assertEqual(self.iwnlp.contains_entry('Birne'), True)33    def test_contains_entry_example2(self):34        self.assertEqual(self.iwnlp.contains_entry('birne', ignore_case=False), False)35    def test_contains_entry_example3(self):36        self.assertEqual(self.iwnlp.contains_entry('birne', ignore_case=True), True)37    def test_contains_entry_example4(self):38        self.assertEqual(self.iwnlp.contains_entry('groko'), False)39    def test_contains_entry_example5(self):40        self.assertEqual(self.iwnlp.contains_entry('GroKo'), True)41    def test_contains_entry_example6(self):42        self.assertEqual(self.iwnlp.contains_entry('groko', ignore_case=True), True)43    def test_contains_entry_example7(self):44        self.assertEqual(self.iwnlp.contains_entry('groko', pos='Noun'), False)45    def test_contains_entry_example8(self):46        self.assertEqual(self.iwnlp.contains_entry('groko', pos='X'), False)47    def test_contains_entry_example9(self):48        self.assertEqual(self.iwnlp.contains_entry('groko', pos='AdjectivalDeclension'), False)49    def test_contains_entry_example10(self):50        self.assertEqual(self.iwnlp.contains_entry('groko', pos=["Noun", "X"], ignore_case=True), True)51    def test_lemmatize_example1(self):52        predicted = self.iwnlp.lemmatize('Lkws', pos_universal_google='NOUN')53        self.assertEqual(predicted, ['Lkw'])54    def test_lemmatize_example2(self):55        predicted = self.iwnlp.lemmatize('gespielt', pos_universal_google='VERB')56        self.assertEqual(predicted, ['spielen'])57    def test_get_lemmas_example1(self):58        predicted = self.iwnlp.get_lemmas('groko', pos=["Noun", "X"], ignore_case=True)...

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