How to use append_one_line method in avocado

Best Python code snippet using avocado_python

process.py

Source:process.py Github

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...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)...

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base_accessor.py

Source:base_accessor.py Github

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...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)...

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classes.py

Source:classes.py Github

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...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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