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How to use string_cleanup method in Nose2

Best Python code snippet using nose2

smart_title_case.py

Source:smart_title_case.py

...44        word = word[0].upper() + word[1:]45    return word46def string_title_match(match_word, string):47    return title_re.sub(match_word, string)48def string_cleanup(string):49    if not string:50        return ""51    return unicodedata.normalize("NFKC", string)52def string_title_case(string):53    """Title-case a string using a less destructive method than str.title."""54    return string_title_match(match_word, string_cleanup(string))55def artist_title_case(text, artists, artists_upper):56    """57    Use the array of artists and the joined string58    to identify artists to make title case59    and the join strings to leave as-is.60    """61    find = "^(" + r")(\s+\S+?\s+)(".join((map(re.escape, map(string_cleanup,artists)))) + ")(.*$)"62    replace = "".join([r"%s\%d" % (a, x*2 + 2) for x, a in enumerate(artists_upper)])63    result = re.sub(find, replace, string_cleanup(text))64    return result65################################################66# Uncomment the following to enable unit tests #67################################################68#69# assert "Make Title Case" == string_title_case("make title case")70# assert "Already Title Case" == string_title_case("Already Title Case")71# assert "mIxEd cAsE" == string_title_case("mIxEd cAsE")72# assert "A" == string_title_case("a")73# assert "Apostrophe's Apostrophe's" == string_title_case("apostrophe's apostrophe's")74# assert "(Bracketed Text)" == string_title_case("(bracketed text)")75# assert "'Single Quotes'" == string_title_case("'single quotes'")76# assert '"Double Quotes"' == string_title_case('"double quotes"')77# assert "A,B" == string_title_case("a,b")...

file_reader.py

Source:file_reader.py

...29    def remove_stop_words(self):30        with open('./stop_words.txt', 'r') as stopwords:31            for line in stopwords:32                for word in line.split("\t")[0].split():33                    self.stop_words[self.string_cleanup(word)] = 13435    def string_cleanup(self, string):36        # return string37        # return string.lower()38        return string.lower().translate(None, "\",./][';<>|!@#$%^&=+*()|`-_~\\")3940    def create_words_bank(self):41        index = 1 # starting with 1 because 0 cant serve as a dictionary key42        with open(self.file, 'r') as reader: # open the file "file"43            for line in reader: # for each line in file44                for word in line.split("\t")[0].split(): # for each word in the line45                    checked = self.string_cleanup(word)46                    if checked not in (self.words.keys() or self.stop_words.keys()):  # if the word doesnt already exist in the words dictionary47                            self.words[checked] = index  # add it48                            index += 14950    def count_file_lines(self, file_to_count):51        return sum(1 for line in open(file_to_count))5253    def build_set_boolean(self, file_to_vector):54        doc_set = {}55        index = 056        with open(file_to_vector, 'r') as reader:57            for line in reader:58                vec = len(self.words)*[0, ]59                for word in line.split("\t")[0].split():60                    checked = self.string_cleanup(word)61                    if checked not in self.stop_words.keys():62                        vec[self.words[checked]-1] = 163                doc_class = line.split("\t")[1].rstrip()64                vec.append(doc_class)65                self.indexed_line['doc'+str(index)] = str(line.split("\t")[0:-1]).strip('[]"\'')66                doc_set['doc'+str(index)] = vec67                index += 168        return doc_set6970    def build_set_tf(self, file_to_vector):71        doc_set = {}72        index = 073        with open(file_to_vector, 'r') as reader:74            for line in reader:75                vec = len(self.words)*[0, ]76                wf_vec = len(self.words)*[0, ]77                for word in line.split("\t")[0].split():78                    checked = self.string_cleanup(word)79                    if checked not in self.stop_words.keys():80                        vec[self.words[checked]-1] += 181                for word in line.split("\t")[0].split():82                    checked = self.string_cleanup(word)83                    temp_index = self.words[checked]-184                    if checked not in self.stop_words.keys():85                        if vec[temp_index] > 0:86                            wf_vec[temp_index] = 1 + math.log(vec[temp_index])87                doc_class = line.split("\t")[1].rstrip()88                wf_vec.append(doc_class)89                doc_set['doc'+str(index)] = wf_vec90                index += 191        return doc_set9293    def build_df(self, file_to_vector):94        df = {}95        with open(file_to_vector, 'r') as file:96            for line in file:97                wordlist = []98                for word in line.split("\t")[0].split():99                    checked = self.string_cleanup(word)100                    if checked not in self.stop_words.keys():101                        wordlist.append(checked)102                wordset = set(wordlist)103                for word in wordset:104                    if word in df.keys():105                        df[word] += 1106                    else:107                        df[word] = 1108        return df109110    def build_set_tfidf(self, file_to_vector):111        tfidf_set = {}112        tf_set = self.build_set_tf(file_to_vector)113        idf = {}114        df = self.build_df(file_to_vector)115        n = self.count_file_lines(file_to_vector)116        for word in df.keys():117            idf[word] = math.log(n / df[word])118        with open(file_to_vector, 'r') as file:119            index = 0120            for line in file:121                doci = 'doc'+str(index)122                vec = len(self.words) * [0, ]123                for word in line.split("\t")[0].split():124                    checked = self.string_cleanup(word)125                    wordi = self.words[checked]-1126                    if checked not in self.stop_words.keys():127                        vec[wordi] = tf_set[doci][wordi] * idf[checked]128                doc_class = line.split("\t")[1].rstrip()129                vec.append(doc_class)130                self.indexed_line[doci] = str(line.split("\t")[0:-1]).strip('[]"\'')131                tfidf_set[doci] = vec132                index += 1
...

cleanup.py

Source:cleanup.py

...91    for word in word_toclean :92        # Clean word as is93        filename = re.sub(word, '', filename.strip(' \t\n\r\.'))94        # Clean word "cleaned"95        word = string_cleanup(word)96        filename = re.sub(word, '', filename.strip(' \t\n\r\.'))97    # Generic cleaning98    filename = string_cleanup(filename)99    return filename100def string_cleanup(string) :101    ''' Clean string '''102    # Generic cleaning103    string = re.sub('[^\w\s-]', '-', string.strip(' \t\n\r\.').lower())104    string = re.sub('[-\s]+', '-', string)105    return string106if __name__ == "__main__":...

crud.py

Source:crud.py

...13        writer = csv.writer(csvfile)14        for row in data:15            writer.writerow(row)16    csvfile.close()17def string_cleanup(string):18    ''' Remove circle bracket, quote and space from string. '''19    string = string.strip('()').replace("'", '').replace(' ', '')20    return string21while True:22    command = input('>')23    if command.startswith('GPA'):24        # GPA Grade.csv 1 125        command = command.split()26        table = command[1]          # Grade.csv27        year = command[2]           # 128        semester = command[3]       # 129        data = read_csvfile(table)30        select_data = [row for row in data if row[0] == year and row[1] == semester]31        credit = [int(row[-2]) for row in select_data]32        grade = []33        for row in select_data:34            if row[-1] == 'A':35                grade.append(4)36            elif row[-1] == 'B+':37                grade.append(3.5)38            elif row[-1] == 'B':39                grade.append(3)40            elif row[-1] == 'C+':41                grade.append(2.5)42            elif row[-1] == 'C':43                grade.append(2)44            elif row[-1] == 'D+':45                grade.append(1.5)46            elif row[-1] == 'D':47                grade.append(1)48            else:49                grade.append(0)50        point = [a * b for (a, b) in zip(grade, credit)]    # credit * grade51        gpa = math.floor(sum(point) / sum(credit) * 100) / 10052        print(gpa)53    elif command.startswith('INSERT INTO'):54        # INSERT INTO Grade.csv VALUES ('1', '1', 'Data', '3', 'B+')55        command = command.split(' VALUES ')56        table = command[0].split()[2]                       # Grade.csv57        value = [string_cleanup(command[1]).split(',')]     # [['1', '1', 'Data', '3', 'B+']]58        write_csvfile(table, 'a', value)59    elif command.startswith('UPDATE'):60        # UPDATE Grade.csv SET Grade='A' WHERE Subject='Data'61        command = command.split()62        table = command[1]                                      # Grade.csv63        where_attr = command[5].split('=')[0]                   # Subject64        where_value = string_cleanup(command[5].split('=')[1])  # Data65        set_attr = command[3].split('=')[0]                     # Grade66        set_value = string_cleanup(command[3].split('=')[1])    # A67        # Read data68        data = read_csvfile(table)69        attributes = data[0]70        attr_to_change = attributes.index(set_attr)71        attr_to_find = attributes.index(where_attr)72        # Find attribute73        for row in range(len(data)):74            if where_value == data[row][attr_to_find]:75                data[row][attr_to_change] = set_value76                break77        write_csvfile(table, 'w', data)78    else:...

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