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How to use append_one_line method in avocado

Best Python code snippet using avocado_python

process.py

Source:process.py

...9    # Writes to file for analysis10    def basics(self):11        print("PROCESSING BASIC STATISTICS - OUTPUT = results/basicstats.txt")12        total_tweets = "Total Tweets : " + str(self.stat_process.total_tweets())13        self.file_controller.append_one_line("results/basicstats.txt", total_tweets)14        tweets_min, group_min = self.stat_process.smallest_tweets_group()15        group_least_tweets = "Group with the least tweets : " + str(group_min) + ". Quantity : " + str(tweets_min)16        self.file_controller.append_one_line("results/basicstats.txt", group_least_tweets)17        tweets_max, group_max = self.stat_process.largest_tweets_group()18        group_most_tweets = "Group with the most tweets : " + str(group_max) + ". Quantity : " + str(tweets_max)19        self.file_controller.append_one_line("results/basicstats.txt", group_most_tweets)20        total_retweets = "Total Retweets : " + str(self.stat_process.total_retweets())21        self.file_controller.append_one_line("results/basicstats.txt", "\n" + total_retweets)22        tweets_min, group_min = self.stat_process.smallest_retweets_group()23        group_least_retweets = "Group with least retweets : " + str(group_min) + ". Quantity : " + str(tweets_min)24        self.file_controller.append_one_line("results/basicstats.txt", group_least_retweets)25        tweets_max, group_max = self.stat_process.largest_retweets_group()26        group_most_retweets = "Group with most retweets : " + str(group_max) + ". Quantity : " + str(tweets_max)27        self.file_controller.append_one_line("results/basicstats.txt", group_most_retweets)28        total_quotes = "Total Quotes : " + str(self.stat_process.total_quotes())29        self.file_controller.append_one_line("results/basicstats.txt", "\n" + total_quotes)30        tweets_min, group_min = self.stat_process.smallest_quote_group()31        group_least_quotes = "Group with least quotes : " + str(group_min) + ". Quantity : " + str(tweets_min)32        self.file_controller.append_one_line("results/basicstats.txt", group_least_quotes)33        tweets_max, group_max = self.stat_process.largest_quote_group()34        group_least_quotes = "Group with most quotes : " + str(group_max) + ". Quantity : " + str(tweets_max)35        self.file_controller.append_one_line("results/basicstats.txt", group_least_quotes)36        total_replies = "Total Replies : " + str(self.stat_process.total_replies())37        self.file_controller.append_one_line("results/basicstats.txt", "\n" + total_replies)38        tweets_min, group_min = self.stat_process.smallest_reply_group()39        group_least_replies = "Group with least replies : " + str(group_min) + ". Quantity : " + str(tweets_min)40        self.file_controller.append_one_line("results/basicstats.txt", group_least_replies)41        tweets_max, group_max = self.stat_process.largest_reply_group()42        group_least_replies = "Group with most replies : " + str(group_max) + ". Quantity : " + str(tweets_max)43        self.file_controller.append_one_line("results/basicstats.txt", group_least_replies)44    # Creates quotes network interaction map and processes centrality measures45    # Writes all data to a CSV file for further analysis46    # Writes user reable statistics to .txt file47    def quotes(self):48        print("PROCESSING QUOTE STATISTICS\nBasic Statistics output = results/quotesstats.txt\nAll statistics output = results/quotes.csv")49        network_process = interactiongraph.interactiongraph()50        self.file_controller.append_one_line("results/quotes.csv", "type, group, results")51        for i in range(20+1):52            print("Processing quotes for group " + str(i))53            if i == 0:54                retweets = network_process.quotes()55                group = "All"56                total_quotes = "Total Quotes : " + str(self.stat_process.total_quotes())57            else:58                retweets = network_process.quotes_group(i-1)59                group = i-160                total_quotes = "Total Quotes : " + str(self.stat_process.total_quote_group(group))61            self.file_controller.append_one_line("results/quotesstats.txt", "STATS FOR GROUP " + str(group))62            self.file_controller.append_one_line("results/quotesstats.txt", total_quotes)63            self.processing(retweets, group, "quotes")64    # Creates retweets network interaction map and processes centrality measures65    # Writes all data to a CSV file for further analysis66    # Writes user reable statistics to .txt file67    def retweets(self):68        print("PROCESSING RETWEETS STATISTICS\nBasic Statistics output = results/retweetsstats.txt\nAll statistics output = results/retweets.csv")69        network_process = interactiongraph.interactiongraph()70        self.file_controller.append_one_line("results/retweets.csv", "type, group, results")71        for i in range(20+1):72            print("Processing retweets for group " + str(i))73            if i == 0:74                retweets = network_process.retweets()75                group = "All"76                total_quotes = "Total Retweets : " + str(self.stat_process.total_retweets())77            else:78                retweets = network_process.retweets_group(i-1)79                group = i-180                total_quotes = "Total Retweets : " + str(self.stat_process.total_retweets_group(group))81            self.file_controller.append_one_line("results/retweetsstats.txt", "STATS FOR GROUP " + str(group))82            self.file_controller.append_one_line("results/quotesstats.txt", total_quotes)83            self.processing(retweets, group, "retweets")84    # Creates hashtags network interaction map and processes centrality measures85    # Writes all data to a CSV file for further analysis86    # Writes user reable statistics to .txt file87    def hashtags(self):88        print("PROCESSING HASHTAG STATISTICS\nBasic Statistics output = results/hashtagsstats.txt\nAll statistics output = results/hashtags.csv")89        network_process = interactiongraph.interactiongraph()90        self.file_controller.append_one_line("results/hashtags.csv", "type, group, results")91        for i in range(20+1):92            print("Processing hashtags for group " + str(i))93            if i == 0:94                retweets = network_process.hashtags_user('all')95                group = "All"96            else:97                retweets = network_process.retweets_group(i-1)98                group = i-199                self.processing(retweets, group, "hashtags")100    # Calculates all centrality measures for the given group (or all) and finds the groups which have the max and min of each101    def processing(self, retweets, group, name):102        centrality_process = centrality.centrality()103        in_degree_retweets, out_degree_retweets = centrality_process.in_out_centrality(retweets)104        in_degree_results = "IN DEGREE, " + str(group) + ", " + str(in_degree_retweets)105        self.file_controller.append_one_line("results/" + name + ".csv", in_degree_results)106        out_degree_results = "OUT DEGREE, " + str(group) + ", " + str(out_degree_retweets)107        self.file_controller.append_one_line("results/" + name + ".csv", out_degree_results)108        if not in_degree_retweets == None:109            in_degree_max = "In degree maximum for " + name + " from group " + str(group) + " is " + str(max(in_degree_retweets.values()))110            self.file_controller.append_one_line("results/" + name + "stats.txt", in_degree_max)111            out_degree_max = "Out degree maximum for " + name + " from group " + str(group) + " is " + str(max(out_degree_retweets.values()))112            self.file_controller.append_one_line("results/" + name + "stats.txt", out_degree_max)113            in_degree_min = "In degree minimum for " + name + " from group " + str(group) + " is " + str(min(in_degree_retweets.values()))114            self.file_controller.append_one_line("results/" + name + "stats.txt", in_degree_min)115            out_degree_min = "Out degree minimum for " + name + " from group " + str(group) + " is " + str(min(out_degree_retweets.values()))116            self.file_controller.append_one_line("results/" + name + "stats.txt", out_degree_min)117        betweenness = centrality_process.betweenness(retweets)118        betweenness_results = "BETWEENNESS," + str(group) + ", " + str(betweenness)119        self.file_controller.append_one_line("results/" + name + ".csv", betweenness_results)120        if not len(betweenness) == 0:121            betweenness_max = "Betweenness degree maximum for " + name + " from group " + str(group) + " is " + str(max(betweenness.values()))122            self.file_controller.append_one_line("results/" + name + "stats.txt", betweenness_max)123            betweenness_min = "Betweenness degree minimum for " + name + " from group " + str(group) + " is " + str(min(betweenness.values()))124            self.file_controller.append_one_line("results/" + name + "stats.txt", betweenness_min)125        closeness = centrality_process.closeness(retweets)126        closeness_results = "CLOSENESS, " + str(group) + ", " + str(closeness)127        self.file_controller.append_one_line("results/" + name + ".csv", closeness_results)128        if not len(closeness) == 0:129            closeness_max = "Closeness degree maximum for " + name + " from group " + str(group) + " is " + str(max(closeness.values()))130            self.file_controller.append_one_line("results/" + name + "stats.txt", closeness_max)131            closeness_min = "Closeness degree minimum for " + name + " from group " + str(group) + " is " + str(min(closeness.values()))132            self.file_controller.append_one_line("results/" + name + "stats.txt", closeness_min)133        eigenvector = centrality_process.eigenvector(retweets)134        eigenvector_results = "EIGENVECTOR, " + str(group) + ", " + str(eigenvector)135        self.file_controller.append_one_line("results/" + name + ".csv", eigenvector_results)136        if eigenvector:137            eigen_max = "Eigenvector degree maximum for " + name + " from group " + str(group) + " is " + str(max(eigenvector.values()))138            self.file_controller.append_one_line("results/" + name + "stats.txt", eigen_max)139            eigen_min = "Eigenvector degree minimum for " + name + " from group " + str(group) + " is " + str(min(eigenvector.values()))140            self.file_controller.append_one_line("results/" + name + "stats.txt", eigen_min)...

base_accessor.py

Source:base_accessor.py

...88        :return:89        """90        occurrence = self.get_setting_occurrence(name)91        return True if occurrence else False92    def append_one_line(self, line):93        self.lines.append(line + "\n")94    def add_setting(self, name, value, add_comment):95        if add_comment:96            self.append_one_line(self.file_config.generate_setting_comment(name))97        self.append_one_line(self.file_config.generate_setting_line(name, value))98    def update_setting(self, name, value, occurrence=None):99        if not occurrence:100            occurrence = self.get_setting_occurrence(name)101        if not occurrence:102            return SettingNotFoundException("can not find setting of %s while updating" % name, name)103        line = self.file_config.generate_setting_line(name, value)...

classes.py

Source:classes.py

...41  42  def __len__(self) -> int:43    return len(self.lines)44  45  def append_one_line(self, l:Line) -> None:46    if len(self.lines) == 0:47      # self.lines.append = [l]48      self.lines = np.append(self.lines, l)49      self.maxH = l.top50      self.maxW = l.index51      self.minH = l.down52      self.minW = l.index53      return54    else:55      self.lines = np.append(self.lines, l)56      # self.lines.append(l)57    # self.lines = sorted(self.lines)58    59    self.maxH = max(l.top, self.maxH)60    self.maxW = max(l.index, self.maxW)61    self.minH = min(l.down, self.minH)62    self.minW = min(l.index, self.minW)63  def sort(self) -> None:64    self.lines = np.sort(self.lines)65  def smooth(self):66    # newlines = [self.lines[0]]67    newlines = np.empty(0, dtype=line_np_type)68    newlines = np.append(newlines, self.lines[0])69    for l in self.lines[1:]:70      if newlines[-1].index != l.index:71        newlines = np.append(newlines, l)72        continue73      newlines[-1].top  = max(newlines[-1].top,  l.top)74      newlines[-1].down = min(newlines[-1].down, l.down)75    self.lines = newlines76  def __add__(self, other):77    for i in other:78      self.append_one_line(i)79      80    self.lines = np.sort(self.lines)81    return self82  def __repr__(self):...

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