Para_boxes, para_texts = remove_empty(para_boxes, para_texts) Pdf_path = os.path.join(pdf_dir, Path(xml_file).stem + ".pdf") Xml_path = os.path.join(xml_dir, xml_file) Xml_dir = "/home/mahad/abbyy_dummy_dataset/xml" Pdf_dir = "/home/mahad/abbyy_dummy_dataset/pdf" Title='Cross Val Accuracy /average_all_samples".format(model_type, exp_name), dpi=300)įrom utils import get_raw_data, merge_blocks, create_order, get_blocks, remove_empty Results = linear_models(x_train, y_train, model_type=model_type)Īx = sns.lineplot(data=results, dashes=False)Īx.set(ylim=(0, 0.6), xlabel='Time', ylabel='Accuracy', X_train = reduced_anspose(0, 2, 1).reshape(-1, reduced_data.shape) ![]() Reduced_data = pca(80, epochs, plot=False) X_train, y_train = get_raw_data(sample, scale=scaled)Įpochs = get_epochs(sample, scale=scaled) Write_data(final_data, save_dir, crawler_name, var_name)įor i, sample in enumerate(range(1, 22)): Save_dir = './data/HopkinsCoronaWorldData.js'Ĭrawler_name = 'Hopkins_world_data_parser.py' 'US', 'United Kingdom', 'Australia', 'Canada', 'China', 'Congo',įinal_data = concat_countries_data(total_data, num_date, countries) Total_data, num_date = build_total_data(confirmed_total_data) Recovered_total_data = get_raw_data(recovered) Return train_set, val_set, num_total_words Val_set = utils.batch(val_py(), val_py(), args.batch_size) Train_set = utils.batch(train_py(), train_py(), args.batch_size) Val_data = utils.pad_features(val_data, max_len=args.max_features) Train_data = utils.pad_features(train_data, max_len=args.max_features) Val_data, val_labels = utils.encode(val_data, vallabels_to_idx, word_vocab) Train_data, train_labels = utils.encode(train_data, trainlabels_to_idx, word_vocab) Vallabels_to_idx = for label in val_labels] Trainlabels_to_idx = for label in train_labels] Word_vocab, num_total_words = utils.build_dict(train_data) Val_data, val_labels = utils.get_raw_data(v_file)Īrgs.catogories = Īrgs.cat_dict = dict(zip(args.catogories, range(len(args.catogories)))) Write_data(result, save_dir, crawler_name, var_name) Save_dir = './data/koreaRegionalCumulativeData.js'Ĭrawler_name = 'crawlKoreaRegionalCumulativeData.py' Korea_data = list(zip(date, korea_confirmed, korea_deaths, Korea_confirmed, date = extract_data(deaths_total_data, return_dates=True) Korea_recovered = extract_data(recovered_total_data) Korea_deaths = extract_data(confirmed_total_data) Recovered_total_data = get_raw_data(recovered_CSV_URL) Print "An error occurred when writing the file."Ĭonfirmed_total_data = get_raw_data(confirmed_CSV_URL)ĭeaths_total_data = get_raw_data(deaths_CSV_URL) Success = utils.write_level_data(utils.get_vvvvvv_dir(), level_name, level_data) Utils.import_script_data(level_data, script_data) ![]() # Adding script data to level data in memory ![]() Script_data = utils.script_to_raw(raw_script_data) Raw_script_data = utils.get_script_filedata(script_name) Level_data = utils.get_raw_data(utils.get_vvvvvv_dir(), level_name) vvvvvv or else bad things will happen)"īackup_file = utils.level_backup(level_name) Print "Please enter the filename of the level" # Checks whether level_name specified beforehand (for quiet execution) Print "You must specify a script to import." Print "The current working directory is " Print "Please enter the name of the script file." If not script_name: #if script_file not defined After this line, be sure to make a blank line so your internal command isn't deleted.Def import_script(script_name=None, level_name=None): This one should contain this:# A)Say ic ic stands for 'internal command' and it is here you will put your single line of internal scripting. However, it can only be used for one-line commands and is generally recommended to be used for only one or two lines as it is quite the space-waster.First, create a new script, without the following inside:iftrinkets(0,script2)Now, create another script, with the name you put in the first one as script2. Notice the '+1' you need to add 1 more line to the amount you will be using, so if you're using 34 lines of internal scripting, you write 35 on say.After typing commands like the ones you'll see further down the guide, finish with this:text(1,0,0,4) say(4) endcutscene untilbars loadscript(stop)You can also repeat text(1,0,0,4) say(n+1) for more scripting space, like this:say(-1) text(1,0,0,4) say(10) text(1,0,0,4) say(5) text(1,0,0,4) say(4) endcutscene untilbars loadscript(stop)Creating a new internal commandThis is a second method of creating an internal script.
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