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/src/translator/setup.py
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from setuptools import setup, find_packages setup( name="translator", version="1.0", packages=find_packages(exclude=["tests.*", "tests"]), include_package_data=True, package_data={ # 'package': ['filename'] }, install_requires=[], )
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/timeseries/utils.py
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from dbmanager import SqlManager import numpy as np import pandas as pd import matplotlib.pyplot as plt from collections import OrderedDict def normalize(arr_x, eps=1e-6, M=None): if M is None: return (arr_x - np.mean(arr_x, axis=0)) / (np.std(arr_x, axis=0) + eps) else: # return (arr_x - np.mean(arr_x, axis=0)) / (np.std(arr_x, axis=0) + eps) return (arr_x - np.mean(arr_x[:M], axis=0)) / (np.std(arr_x[:M], axis=0) + eps) def dict_to_list(dict, key_list=None): arr = list() ordered_key_list = list() if key_list is None: key_list = list(dict.keys()) for key in dict.keys(): if key in key_list: ordered_key_list.append(key) arr.append(dict[key]) return np.stack(arr, axis=-1), ordered_key_list def predict_plot(model, dataset, columns_list, size=250, save_dir='out.png'): cost_rate = 0.000 idx_y = columns_list.index('log_y') idx_pos = columns_list.index('positive') true_y = np.zeros(size) pred_both = np.zeros_like(true_y) pred_pos = np.zeros_like(true_y) pred_y = np.zeros_like(true_y) pred_avg = np.zeros_like(true_y) pred_chart = np.zeros_like(true_y) pred_pos_val = np.zeros_like(true_y) pred_y_val = np.zeros_like(true_y) real_pos_val = np.zeros_like(true_y) real_y_val = np.zeros_like(true_y) prev_w_both = 0 prev_w_pos = 0 prev_w_y = 0 for j, (features, labels) in enumerate(dataset.take(size)): predictions = model.predict(features) true_y[j] = labels[0, 0, idx_y] pred_chart[j] = predictions[0, 0, idx_y] pred_pos_val[j] = predictions[0, 0, idx_pos] pred_y_val[j] = predictions[0, 0, idx_y] real_pos_val[j] = labels[0, 0, idx_pos] real_y_val[j] = labels[0, 0, idx_y] if predictions[0, 0, idx_y] > 0: pred_y[j] = labels[0, 0, idx_y] - cost_rate * (1. - prev_w_y) prev_w_y = 1 else: pred_y[j] = - cost_rate * prev_w_y prev_w_y = 0 if predictions[0, 0, idx_pos] > 0: pred_pos[j] = labels[0, 0, idx_y] - cost_rate * (1. - prev_w_pos) prev_w_pos = 1 else: pred_pos[j] = - cost_rate * prev_w_pos prev_w_pos = 0 if (predictions[0, 0, idx_y] > 0) and (predictions[0, 0, idx_pos] > 0): pred_both[j] = labels[0, 0, idx_y] - cost_rate * (1. - prev_w_both) prev_w_both = 1 else: pred_both[j] = - cost_rate * prev_w_both prev_w_both = 0 pred_avg[j] = (pred_y[j] + pred_pos[j]) / 2. data = pd.DataFrame({'true_y': np.cumsum(np.log(1. + true_y[:(j+1)])), 'pred_both': np.cumsum(np.log(1. + pred_both[:(j+1)])), 'pred_pos': np.cumsum(np.log(1. + pred_pos[:(j+1)])), 'pred_y': np.cumsum(np.log(1. + pred_y[:(j+1)])), 'pred_avg': np.cumsum(np.log(1. + pred_avg[:(j+1)])), # 'pred_chart': np.cumsum(np.log(1. + pred_chart)), }) pos_acc = np.sum((pred_pos_val[:(j+1)] > 0) == (real_pos_val[:(j+1)] > 0)) / (j+1) pos_recall_p = np.sum((pred_pos_val[:(j+1)] > 0) & (real_pos_val[:(j+1)] > 0)) / np.sum(real_pos_val[:(j+1)] > 0) pos_precision_p = np.sum((pred_pos_val[:(j+1)] > 0) & (real_pos_val[:(j+1)] > 0)) / np.sum(pred_pos_val[:(j + 1)] > 0) pos_recall_n = np.sum((pred_pos_val[:(j+1)] < 0) & (real_pos_val[:(j+1)] < 0)) / np.sum(real_pos_val[:(j+1)] < 0) pos_precision_n = np.sum((pred_pos_val[:(j+1)] < 0) & (real_pos_val[:(j+1)] < 0)) / np.sum(pred_pos_val[:(j + 1)] < 0) y_acc = np.sum((pred_y_val[:(j+1)] > 0) == (real_y_val[:(j+1)] > 0)) / (j+1) y_recall_p = np.sum((pred_y_val[:(j+1)] > 0) & (real_y_val[:(j+1)] > 0)) / np.sum(real_y_val[:(j+1)] > 0) y_precision_p = np.sum((pred_y_val[:(j+1)] > 0) & (real_y_val[:(j+1)] > 0)) / np.sum(pred_y_val[:(j + 1)] > 0) y_recall_n = np.sum((pred_y_val[:(j+1)] < 0) & (real_y_val[:(j+1)] < 0)) / np.sum(real_y_val[:(j+1)] < 0) y_precision_n = np.sum((pred_y_val[:(j+1)] < 0) & (real_y_val[:(j+1)] < 0)) / np.sum(pred_y_val[:(j + 1)] < 0) print("n_pos: {} / n_neg: {}".format(np.sum(true_y > 0), np.sum(true_y < 0))) print("[[positive]] acc: {:.4f} / [recall] p: {:.4f}, n: {:.4f} / [precision] p: {:.4f}, n: {:.4f}".format(pos_acc, pos_recall_p, pos_recall_n, pos_precision_p, pos_precision_n)) print("[[return]] acc: {:.4f} / [recall] p: {:.4f}, n: {:.4f} / [precision] p: {:.4f}, n: {:.4f}".format(y_acc, y_recall_p, y_recall_n, y_precision_p, y_precision_n)) # plt.plot(data['true_y'], label='real') # plt.plot(data['pred_chart'], label='pred') # plt.plot(data['pred_y'], label='pred_y') # plt.legend() fig = plt.figure() plt.plot(data) plt.legend(data.columns) fig.savefig(save_dir) plt.close(fig) # # for j, (features, labels) in enumerate(dataset.take(size)): # predictions = model.predict(features) # true_y[j] = labels[0, 0, columns_list.index('log_cum_y')] # pred_chart[j] = predictions[0, 0, columns_list.index('log_cum_y')] # # plt.plot(true_y, label='real') # plt.plot(pred_chart, label='pred') # plt.legend() def predict_plot_mtl_cross_section_test(model, dataset_list, save_dir='out.png', ylog=False, eval_type='pos'): if dataset_list is False: return False else: input_enc_list, output_dec_list, target_dec_list, features_list, additional_infos, start_date, end_date = dataset_list idx_y = features_list.index('log_y') true_y = np.zeros(len(input_enc_list) + 1) pred_ls = np.zeros_like(true_y) pred_q1 = np.zeros_like(true_y) pred_q2 = np.zeros_like(true_y) pred_q3 = np.zeros_like(true_y) pred_q4 = np.zeros_like(true_y) pred_q5 = np.zeros_like(true_y) # df_infos = pd.DataFrame(columns={'start_d', 'base_d', 'infocode', 'score'}) for i, (input_enc_t, output_dec_t, target_dec_t) in enumerate(zip(input_enc_list, output_dec_list, target_dec_list)): t = i + 1 assert np.sum(input_enc_t[:, -1, :] - output_dec_t[:, 0, :]) == 0 new_output_t = np.zeros_like(output_dec_t) new_output_t[:, 0, :] = output_dec_t[:, 0, :] features = {'input': input_enc_t, 'output': new_output_t} labels = target_dec_t predictions = model.predict_mtl(features) # p_ret, p_pos, p_vol, p_mdd = predictions true_y[t] = np.mean(labels[:, 0, idx_y]) # additional_infos[i]['score'] = predictions['pos'][:, 0, 0] # df_infos = pd.concat([df_infos, pd.DataFrame({'start_d': start_date, # 'base_d': additional_infos[i]['date'], # 'infocode': additional_infos[i]['assets_list'], # 'score': predictions['pos'][:, 0, 0]})], ignore_index=True) if eval_type == 'pos': value_ = predictions['pos'][:, 0, 0] elif eval_type == 'pos20': value_ = predictions['pos20'][:, 0, 0] elif eval_type == 'ret': value_ = predictions['ret'][:, 0, 0] elif eval_type == 'ir20': value_ = predictions['ret'][:, 0, 1] / np.abs(predictions['std'][:, 0, 0]) elif eval_type == 'ir60': value_ = predictions['ret'][:, 0, 2] / np.abs(predictions['std'][:, 0, 1]) elif eval_type == 'ir120': value_ = predictions['ret'][:, 0, 3] / np.abs(predictions['std'][:, 0, 2]) q1_crit, q2_crit, q3_crit, q4_crit = np.percentile(value_, q=[80, 60, 40, 20]) pred_q1[t] = np.mean(labels[value_ >= q1_crit, 0, idx_y]) pred_q2[t] = np.mean(labels[(value_ >= q2_crit) & (value_ < q1_crit), 0, idx_y]) pred_q3[t] = np.mean(labels[(value_ >= q3_crit) & (value_ < q2_crit), 0, idx_y]) pred_q4[t] = np.mean(labels[(value_ >= q4_crit) & (value_ < q3_crit), 0, idx_y]) pred_q5[t] = np.mean(labels[(value_ < q4_crit), 0, idx_y]) # # db insert # sqlm = SqlManager() # sqlm.db_insert(df_infos[['start_d', 'base_d', 'infocode', 'score']], 'kr_weekly_score_temp', fast_executemany=True) data = pd.DataFrame({'true_y': np.cumprod(1. + true_y), 'pred_ls': np.cumprod(1. + pred_q1 - pred_q5), 'pred_q1': np.cumprod(1. + pred_q1), 'pred_q2': np.cumprod(1. + pred_q2), 'pred_q3': np.cumprod(1. + pred_q3), 'pred_q4': np.cumprod(1. + pred_q4), 'pred_q5': np.cumprod(1. + pred_q5) }) fig = plt.figure() fig.suptitle('{} ~ {}'.format(start_date, end_date)) ax1, ax2 = fig.subplots(2, 1) ax1.plot(data[['true_y', 'pred_ls', 'pred_q1', 'pred_q5']]) box = ax1.get_position() ax1.set_position([box.x0, box.y0, box.width * 0.8, box.height]) ax1.legend(['true_y', 'long-short', 'long', 'short'], loc='center left', bbox_to_anchor=(1, 0.5)) if ylog: ax1.set_yscale('log', basey=2) ax2.plot(data[['true_y', 'pred_q1', 'pred_q2', 'pred_q3', 'pred_q4', 'pred_q5']]) box = ax2.get_position() ax2.set_position([box.x0, box.y0, box.width * 0.8, box.height]) ax2.legend(['true_y', 'q1', 'q2', 'q3', 'q4', 'q5'], loc='center left', bbox_to_anchor=(1, 0.5)) ax2.set_yscale('log', basey=2) fig.savefig(save_dir) print("figure saved. (dir: {})".format(save_dir)) plt.close(fig) def predict_plot_mtl_test(model, dataset_list, save_dir='out.png', ylog=False, eval_type='pos'): if dataset_list is False: return False else: input_enc_list, output_dec_list, target_dec_list, features_list, start_date, end_date = dataset_list idx_y = features_list.index('log_y') true_y = np.zeros(len(input_enc_list) + 1) pred_pos_ls = np.zeros_like(true_y) pred_pos_ls_wgt_adj = np.zeros_like(true_y) pred_pos_l = np.zeros_like(true_y) pred_pos_s = np.zeros_like(true_y) pred_pos_l_wgt = np.zeros_like(true_y) pred_pos_l_wgt_adj = np.zeros_like(true_y) pred_pos_s_wgt = np.zeros_like(true_y) pred_pos_s_wgt_adj = np.zeros_like(true_y) pred_q1 = np.zeros_like(true_y) pred_q2 = np.zeros_like(true_y) pred_q3 = np.zeros_like(true_y) pred_q4 = np.zeros_like(true_y) pred_q5 = np.zeros_like(true_y) for i, (input_enc_t, output_dec_t, target_dec_t) in enumerate(zip(input_enc_list, output_dec_list, target_dec_list)): t = i + 1 assert np.sum(input_enc_t[:, -1, :] - output_dec_t[:, 0, :]) == 0 new_output_t = np.zeros_like(output_dec_t) new_output_t[:, 0, :] = output_dec_t[:, 0, :] features = {'input': input_enc_t, 'output': new_output_t} labels = target_dec_t predictions = model.predict_mtl(features) # p_ret, p_pos, p_vol, p_mdd = predictions true_y[t] = np.mean(labels[:, 0, idx_y]) if eval_type == 'pos': crit = 0.5 value_ = predictions['pos'][:, 0, 0] elif eval_type == 'ret': crit = 0 value_ = predictions['ret'][:, 0, 0] elif eval_type == 'ir': crit = 0 value_ = predictions['ret'][:, 0, 1] / np.abs(predictions['std'][:, 0, 0]) n_assets = len(value_) is_pos_position = value_ > crit is_neg_position = value_ < crit q1_crit, q2_crit, q3_crit, q4_crit = np.percentile(value_, q=[80, 60, 40, 20]) pred_q1[t] = np.mean(labels[value_ >= q1_crit, 0, idx_y]) pred_q2[t] = np.mean(labels[(value_ >= q2_crit) & (value_ < q1_crit), 0, idx_y]) pred_q3[t] = np.mean(labels[(value_ >= q3_crit) & (value_ < q2_crit), 0, idx_y]) pred_q4[t] = np.mean(labels[(value_ >= q4_crit) & (value_ < q3_crit), 0, idx_y]) pred_q5[t] = np.mean(labels[value_ < q4_crit, 0, idx_y]) # if predictions['ret'][0, 0, 0] > 0: if np.sum(is_pos_position) > 0: pred_pos_l[t] = np.mean(labels[is_pos_position, 0, idx_y]) pred_pos_l_wgt[t] = np.sum(is_pos_position) / n_assets pred_pos_l_wgt_adj[t] = np.sum(labels[is_pos_position, 0, idx_y]) / n_assets else: pred_pos_l[t] = 0 pred_pos_l_wgt[t] = 0 pred_pos_l_wgt_adj[t] = 0 if np.sum(is_neg_position) > 0: pred_pos_s[t] = np.mean(labels[is_neg_position, 0, idx_y]) pred_pos_s_wgt[t] = np.sum(is_neg_position) / n_assets pred_pos_s_wgt_adj[t] = np.sum(labels[is_neg_position, 0, idx_y]) / n_assets else: pred_pos_s[t] = 0 pred_pos_s_wgt[t] = 0 pred_pos_s_wgt_adj[t] = 0 pred_pos_ls[t] = pred_pos_l[t] - pred_pos_s[t] pred_pos_ls_wgt_adj[t] = pred_pos_l_wgt_adj[t] - pred_pos_s_wgt_adj[t] data = pd.DataFrame({'true_y': np.cumprod(1. + true_y), 'pred_pos_ls': np.cumprod(1. + pred_pos_ls), 'pred_pos_ls_wgt_adj': np.cumprod(1. + pred_pos_ls_wgt_adj), 'pred_pos_l': np.cumprod(1. + pred_pos_l), 'pred_pos_s': np.cumprod(1. + pred_pos_s), 'pred_pos_l_wgt': pred_pos_l_wgt, 'pred_pos_l_wgt_adj': np.cumprod(1. + pred_pos_l_wgt_adj), 'pred_pos_s_wgt': pred_pos_s_wgt, 'pred_pos_s_wgt_adj': np.cumprod(1. + pred_pos_s_wgt_adj), 'pred_q1': np.cumprod(1. + pred_q1), 'pred_q2': np.cumprod(1. + pred_q2), 'pred_q3': np.cumprod(1. + pred_q3), 'pred_q4': np.cumprod(1. + pred_q4), 'pred_q5': np.cumprod(1. + pred_q5) }) fig = plt.figure() fig.suptitle('{} ~ {}'.format(start_date, end_date)) ax1, ax2, ax3, ax4 = fig.subplots(4, 1) ax1.plot(data[['true_y', 'pred_pos_ls', 'pred_pos_l', 'pred_pos_s']]) box = ax1.get_position() ax1.set_position([box.x0, box.y0, box.width * 0.8, box.height]) ax1.legend(['true_y', 'long-short', 'long', 'short'], loc='center left', bbox_to_anchor=(1, 0.5)) if ylog: ax1.set_yscale('log', basey=2) ax2.plot(data[['true_y', 'pred_pos_ls_wgt_adj', 'pred_pos_l_wgt_adj', 'pred_pos_s_wgt_adj']]) box = ax2.get_position() ax2.set_position([box.x0, box.y0, box.width * 0.8, box.height]) ax2.legend(['true_y', 'long-short(adj)', 'long(adj)', 'short(adj)'], loc='center left', bbox_to_anchor=(1, 0.5)) if ylog: ax2.set_yscale('log', basey=2) ax3.plot(data[['true_y', 'pred_q1', 'pred_q2', 'pred_q3', 'pred_q4', 'pred_q5']]) box = ax3.get_position() ax3.set_position([box.x0, box.y0, box.width * 0.8, box.height]) ax3.legend(['true_y', 'q1', 'q2', 'q3', 'q4', 'q5'], loc='center left', bbox_to_anchor=(1, 0.5)) # if ylog: ax3.set_yscale('log', basey=2) ax4.plot(data[['pred_pos_l_wgt']]) box = ax4.get_position() ax4.set_position([box.x0, box.y0, box.width * 0.8, box.height]) ax4.legend(['long_wgt'], loc='center left', bbox_to_anchor=(1, 0.5)) ax4.set_ylim([0., 1.]) fig.savefig(save_dir) print("figure saved. (dir: {})".format(save_dir)) plt.close(fig) def predict_plot_mtl(model, dataset, columns_list, size=250, save_dir='out.png'): cost_rate = 0.000 idx_y = columns_list.index('log_y') idx_pos = columns_list.index('positive') true_y = np.zeros(size) pred_both = np.zeros_like(true_y) pred_pos = np.zeros_like(true_y) pred_y = np.zeros_like(true_y) pred_avg = np.zeros_like(true_y) pred_chart = np.zeros_like(true_y) pred_pos_val = np.zeros_like(true_y) pred_y_val = np.zeros_like(true_y) real_pos_val = np.zeros_like(true_y) real_y_val = np.zeros_like(true_y) prev_w_both = 0 prev_w_pos = 0 prev_w_y = 0 for j, (features, labels) in enumerate(dataset.take(size)): predictions = model.predict_mtl(features) # p_ret, p_pos, p_vol, p_mdd = predictions true_y[j] = labels[0, 0, idx_y] pred_chart[j] = predictions['ret'][0, 0, 0] pred_pos_val[j] = predictions['pos'][0, 0, 0] - 0.5 pred_y_val[j] = predictions['ret'][0, 0, 0] real_pos_val[j] = labels[0, 0, idx_pos] real_y_val[j] = labels[0, 0, idx_y] if predictions['ret'][0, 0, 0] > 0: pred_y[j] = labels[0, 0, idx_y] - cost_rate * (1. - prev_w_y) prev_w_y = 1 else: pred_y[j] = - cost_rate * prev_w_y prev_w_y = 0 if predictions['pos'][0, 0, 0] > 0.5: pred_pos[j] = labels[0, 0, idx_y] - cost_rate * (1. - prev_w_pos) prev_w_pos = 1 else: pred_pos[j] = - cost_rate * prev_w_pos prev_w_pos = 0 if (predictions['ret'][0, 0, 0] > 0) and (predictions['pos'][0, 0, 0] > 0.5): pred_both[j] = labels[0, 0, idx_y] - cost_rate * (1. - prev_w_both) prev_w_both = 1 else: pred_both[j] = - cost_rate * prev_w_both prev_w_both = 0 pred_avg[j] = (pred_y[j] + pred_pos[j]) / 2. data = pd.DataFrame({'true_y': np.cumsum(np.log(1. + true_y[:(j+1)])), 'pred_both': np.cumsum(np.log(1. + pred_both[:(j+1)])), 'pred_pos': np.cumsum(np.log(1. + pred_pos[:(j+1)])), 'pred_y': np.cumsum(np.log(1. + pred_y[:(j+1)])), 'pred_avg': np.cumsum(np.log(1. + pred_avg[:(j+1)])), # 'pred_chart': np.cumsum(np.log(1. + pred_chart)), }) pos_acc = np.sum((pred_pos_val[:(j+1)] > 0) == (real_pos_val[:(j+1)] > 0)) / (j+1) pos_recall_p = np.sum((pred_pos_val[:(j+1)] > 0) & (real_pos_val[:(j+1)] > 0)) / np.sum(real_pos_val[:(j+1)] > 0) pos_precision_p = np.sum((pred_pos_val[:(j+1)] > 0) & (real_pos_val[:(j+1)] > 0)) / np.sum(pred_pos_val[:(j + 1)] > 0) pos_recall_n = np.sum((pred_pos_val[:(j+1)] < 0) & (real_pos_val[:(j+1)] < 0)) / np.sum(real_pos_val[:(j+1)] < 0) pos_precision_n = np.sum((pred_pos_val[:(j+1)] < 0) & (real_pos_val[:(j+1)] < 0)) / np.sum(pred_pos_val[:(j + 1)] < 0) y_acc = np.sum((pred_y_val[:(j+1)] > 0) == (real_y_val[:(j+1)] > 0)) / (j+1) y_recall_p = np.sum((pred_y_val[:(j+1)] > 0) & (real_y_val[:(j+1)] > 0)) / np.sum(real_y_val[:(j+1)] > 0) y_precision_p = np.sum((pred_y_val[:(j+1)] > 0) & (real_y_val[:(j+1)] > 0)) / np.sum(pred_y_val[:(j + 1)] > 0) y_recall_n = np.sum((pred_y_val[:(j+1)] < 0) & (real_y_val[:(j+1)] < 0)) / np.sum(real_y_val[:(j+1)] < 0) y_precision_n = np.sum((pred_y_val[:(j+1)] < 0) & (real_y_val[:(j+1)] < 0)) / np.sum(pred_y_val[:(j + 1)] < 0) print("n_pos: {} / n_neg: {}".format(np.sum(true_y > 0), np.sum(true_y < 0))) print("[[positive]] acc: {:.4f} / [recall] p: {:.4f}, n: {:.4f} / [precision] p: {:.4f}, n: {:.4f}".format(pos_acc, pos_recall_p, pos_recall_n, pos_precision_p, pos_precision_n)) print("[[return]] acc: {:.4f} / [recall] p: {:.4f}, n: {:.4f} / [precision] p: {:.4f}, n: {:.4f}".format(y_acc, y_recall_p, y_recall_n, y_precision_p, y_precision_n)) fig = plt.figure() plt.plot(data) plt.legend(data.columns) fig.savefig(save_dir) print("figure saved. (dir: {})".format(save_dir)) plt.close(fig) def predict_plot_with_actor(model, actor, dataset, columns_list, size=250, save_dir='out.png'): cost_rate = 0.000 idx_y = columns_list.index('log_y') idx_pos = columns_list.index('positive') idx_ma20 = columns_list.index('y_20d') true_y = np.zeros(size) pred_both = np.zeros_like(true_y) pred_pos = np.zeros_like(true_y) pred_y = np.zeros_like(true_y) pred_avg = np.zeros_like(true_y) pred_actor = np.zeros_like(true_y) action_arr = np.zeros_like(true_y) prev_w_both = 0 prev_w_pos = 0 prev_w_y = 0 for j, (features, labels) in enumerate(dataset.take(size)): predictions = model.predict(features) actions, v = actor.evaluate_state(predictions, stochastic=False) a_value = actions.numpy()[0, 0] assert (a_value >= 0) and (a_value <= 1) true_y[j] = labels[0, 0, idx_y] pred_actor[j] = labels[0, 0, idx_y] * a_value action_arr[j] = a_value if predictions[0, 0, idx_y] > 0: pred_y[j] = labels[0, 0, idx_y] - cost_rate * (1. - prev_w_y) prev_w_y = 1 else: pred_y[j] = - cost_rate * prev_w_y prev_w_y = 0 if predictions[0, 0, idx_pos] > 0: pred_pos[j] = labels[0, 0, idx_y] - cost_rate * (1. - prev_w_pos) prev_w_pos = 1 else: pred_pos[j] = - cost_rate * prev_w_pos prev_w_pos = 0 if (predictions[0, 0, idx_y] > 0) and (predictions[0, 0, idx_pos] > 0): pred_both[j] = labels[0, 0, idx_y] - cost_rate * (1. - prev_w_both) prev_w_both = 1 else: pred_both[j] = - cost_rate * prev_w_both prev_w_both = 0 pred_avg[j] = (pred_y[j] + pred_pos[j]) / 2. data = pd.DataFrame({'true_y': np.cumsum(np.log(1. + true_y)), 'pred_both': np.cumsum(np.log(1. + pred_both)), 'pred_pos': np.cumsum(np.log(1. + pred_pos)), 'pred_y': np.cumsum(np.log(1. + pred_y)), 'pred_avg': np.cumsum(np.log(1. + pred_avg)), 'pred_actor': np.cumsum(np.log(1. + pred_actor)), }) # plt.plot(data['true_y'], label='real') # plt.plot(data['pred_chart'], label='pred') # plt.plot(data['pred_y'], label='pred_y') # plt.legend() fig = plt.figure() ax1, ax2 = fig.subplots(2, 1) ax1.plot(data) ax1.legend(data.columns) ax2.plot(np.arange(action_arr), action_arr) ax2.set_ylim([0., 1.]) fig.savefig(save_dir) plt.close(fig) # # for j, (features, labels) in enumerate(dataset.take(size)): # predictions = model.predict(features) # true_y[j] = labels[0, 0, columns_list.index('log_cum_y')] # pred_chart[j] = predictions[0, 0, columns_list.index('log_cum_y')] # # plt.plot(true_y, label='real') # plt.plot(pred_chart, label='pred') # plt.legend() class FeatureCalculator: # example: # def __init__(self, prc, sampling_freq): self.sampling_freq = sampling_freq self.log_cum_y = np.log(prc / prc[0, :]) self.y_1d = self.get_y_1d() self.log_y = self.moving_average(sampling_freq, sampling_freq=sampling_freq) def get_y_1d(self, eps=1e-6): return np.concatenate([self.log_cum_y[0:1, :], np.exp(self.log_cum_y[1:, :] - self.log_cum_y[:-1, :] + eps) - 1.], axis=0) def moving_average(self, n, sampling_freq=1): return np.concatenate([self.log_cum_y[:n, :], self.log_cum_y[n:, :] - self.log_cum_y[:-n, :]], axis=0)[::sampling_freq, :] def positive(self): return (self.log_y >= 0) * np.array(1., dtype=np.float32) - (self.log_y < 0) * np.array(1., dtype=np.float32) def get_std(self, n, sampling_freq=1): stdarr = np.zeros_like(self.y_1d) for t in range(1, len(self.y_1d)): stdarr[t, :] = np.std(self.y_1d[max(0, t - n):(t + 1), :], axis=0) return stdarr[::sampling_freq, :] def get_mdd(self, n, sampling_freq=1): mddarr = np.zeros_like(self.log_cum_y) for t in range(len(self.log_cum_y)): mddarr[t, :] = self.log_cum_y[t, :] - np.max(self.log_cum_y[max(0, t - n):(t + 1), :]) return mddarr[::sampling_freq, :] def generate_features(self): features = OrderedDict() features['log_y'] = self.log_y features['log_cum_y'] = self.log_cum_y[::self.sampling_freq] features['positive'] = self.positive() for n in [20, 60, 120]: features['y_{}d'.format(n)] = self.moving_average(n, self.sampling_freq) features['std{}d'.format(n)] = self.get_std(n, self.sampling_freq) features['mdd{}d'.format(n)] = self.get_mdd(n, self.sampling_freq) # remove redundant values at t=0 (y=0, cum_y=0, ...) for key in features.keys(): features[key] = features[key][1:] return features def getWeights(d, size): w=[1.] for k in range(1, size): w_ = -w[-1] / k * (d-k+1) w.append(w_) w = np.array(w[::-1]).reshape(-1, 1) return w def plotWeights(dRange, nPlots, size): w = pd.DataFrame() for d in np.linspace(dRange[0], dRange[1], nPlots): w_ = getWeights(d, size=size) w_ = pd.DataFrame(w_, index=range(w_.shape[0])[::1], columns=[d]) w = w.join(w_, how='outer') ax = w.plot() ax.legend(loc='upper left'); mpl.show() return def fracDiff(series, d, thres=.01): w = getWeights(d, series.shape[0]) w_ = np.cumsum(abs(w)) w_ /= w_[-1] skip = w_[w_>thres].shape[0] df = {} for name in series.columns: seriesF, df_ = series[[name]].fillna(method='ffill').dropna(), pd.Series() for iloc in range(skip, seriesF.shape[0]): loc= seriesF.index[iloc] if not np.isfinite(series.loc[loc, name]): continue df_[loc] = np.dot(w[-(iloc+1):, :].T, seriesF.loc[:loc])[0, 0] df[name] = df_.copy(deep=True) df = pd.concat(df, axis=1) return df def fracDiff_FFD(series, d, thres=1e-5): # w = getWeights_FFD(d, thres) w = getWeights(d, thres) width = len(w) - 1 df = {} for name in series.columns: seriesF, df_ = series[[name]].fillna(method='ffill').dropna(), pd.Series() for iloc1 in range(width, seriesF.shape[0]): loc0, loc1 = seriesF.index[iloc1 - width], seriesF.index[iloc1] if not np.isinfinite(series.loc[loc1, name]): continue df_[loc1] = np.dot(w.T, seriesF.loc[loc0:loc1])[0, 0] df[name] = df_.copy(deep=True) df = pd.concat(df, axis=1) return df import matplotlib.pyplot as plt # dataset = ds.data_generator.df_pivoted[['spx index']] # dataset.columns = ['price'] def get_technical_indicators(dataset): # Create 7 and 21 days Moving Average dataset['ma7'] = dataset['price'].rolling(window=7).mean() dataset['ma21'] = dataset['price'].rolling(window=21).mean() # Create MACD dataset['26ema'] = dataset['price'].ewm(span=26).mean() dataset['12ema'] = dataset['price'].ewm(span=12).mean() dataset['MACD'] = (dataset['12ema'] - dataset['26ema']) # Create Bollinger Bands dataset['20sd'] = dataset['price'].rolling(20).std(ddof=1) dataset['upper_band'] = dataset['ma21'] + (dataset['20sd'] * 2) dataset['lower_band'] = dataset['ma21'] - (dataset['20sd'] * 2) # Create Exponential moving average dataset['ema'] = dataset['price'].ewm(com=0.5).mean() # Create Momentum dataset['momentum'] = dataset['price'] - 1 return dataset def get_fft(dataset): assert len(dataset.columns) == 1 dataset_log = np.log(dataset) dataset_log.reset_index(drop=True, inplace=True) close_fft = np.fft.fft(np.squeeze(np.array(dataset_log))) fft_df = pd.DataFrame({'fft': close_fft}) fft_df['absolute'] = fft_df['fft'].apply(lambda x: np.abs(x)) fft_df['angle'] = fft_df['fft'].apply(lambda x: np.angle(x)) plt.figure(figsize=(14, 7), dpi=100) fft_list = np.asarray(fft_df['fft'].tolist()) for num_ in [3, 6, 9, 100]: fft_list_m10 = np.copy(fft_list) fft_list_m10[num_:-num_] = 0 plt.plot(np.fft.ifft(fft_list_m10), label='Fourier transform with {} components'.format(num_)) plt.plot(dataset_log, label='Real') plt.xlabel('Days') plt.ylabel('USD') plt.title('Figure 3: Goldman Sachs (close) stock prices & Fourier transforms') plt.legend() plt.show() def plot_technical_indicators(dataset, last_days): dataset.reset_index(drop=True, inplace=True) plt.figure(figsize=(16, 10), dpi=100) shape_0 = dataset.shape[0] xmacd_ = shape_0 - last_days dataset = dataset.iloc[-last_days:, :] dataset.reset_index() x_ = range(3, dataset.shape[0]) x_ = list(dataset.index) # Plot first subplot plt.subplot(2, 1, 1) plt.plot(dataset['ma7'], label='MA 7', color='g', linestyle='--') plt.plot(dataset['price'], label='Closing Price', color='b') plt.plot(dataset['ma21'], label='MA 21', color='r', linestyle='--') plt.plot(dataset['upper_band'], label='Upper Band', color='c') plt.plot(dataset['lower_band'], label='Lower Band', color='c') plt.fill_between(x_, dataset['lower_band'], dataset['upper_band'], alpha=0.35) plt.title('Technical indicators for Goldman Sachs - last {} days.'.format(last_days)) plt.ylabel('USD') plt.legend() # Plot second subplot plt.subplot(2, 1, 2) plt.title('MACD') plt.plot(dataset['MACD'], label='MACD', linestyle='-.') plt.hlines(15, xmacd_, shape_0, colors='g', linestyles='--') plt.hlines(-15, xmacd_, shape_0, colors='g', linestyles='--') plt.plot(dataset['momentum'], label='Momentum', color='b', linestyle='-') plt.legend() plt.show()
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import sys num_1 = int(input()) num_2 = int(input()) num_3 = int(input()) def small(num_1, num_2, num_3): smallest_of_all = sys.maxsize if num_1 <= smallest_of_all: smallest_of_all = num_1 if num_2 <= smallest_of_all: smallest_of_all = num_2 if num_3 <= smallest_of_all: smallest_of_all = num_3 result = smallest_of_all return result result = small(num_1, num_2, num_3) print(result)
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/isso/utils/__init__.py
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waytai/isso
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# -*- encoding: utf-8 -*- from __future__ import division import pkg_resources werkzeug = pkg_resources.get_distribution("werkzeug") import json import random import hashlib from string import ascii_letters, digits from werkzeug.wrappers import Request from werkzeug.exceptions import BadRequest import ipaddress def anonymize(remote_addr): """ Anonymize IPv4 and IPv6 :param remote_addr: to /24 (zero'd) and /48 (zero'd). >>> anonymize(u'12.34.56.78') # doctest: +IGNORE_UNICODE '12.34.56.0' >>> anonymize(u'1234:5678:90ab:cdef:fedc:ba09:8765:4321') # doctest: +IGNORE_UNICODE '1234:5678:90ab:0000:0000:0000:0000:0000' """ try: ipv4 = ipaddress.IPv4Address(remote_addr) return u''.join(ipv4.exploded.rsplit('.', 1)[0]) + '.' + '0' except ipaddress.AddressValueError: ipv6 = ipaddress.IPv6Address(remote_addr) if ipv6.ipv4_mapped is not None: return anonymize(ipv6.ipv4_mapped) return u'' + ipv6.exploded.rsplit(':', 5)[0] + ':' + ':'.join(['0000']*5) def salt(value, s=u'\x082@t9*\x17\xad\xc1\x1c\xa5\x98'): return hashlib.sha1((value + s).encode('utf-8')).hexdigest() def mksecret(length): return ''.join(random.choice(ascii_letters + digits) for x in range(length)) class Bloomfilter: """A space-efficient probabilistic data structure. False-positive rate: * 1e-05 for <80 elements * 1e-04 for <105 elements * 1e-03 for <142 elements Uses a 256 byte array (2048 bits) and 11 hash functions. 256 byte because of space efficiency (array is saved for each comment) and 11 hash functions because of best overall false-positive rate in that range. -- via Raymond Hettinger http://code.activestate.com/recipes/577684-bloom-filter/ """ def __init__(self, array=bytearray(256), elements=0, iterable=()): self.array = array self.elements = elements self.k = 11 self.m = len(array) * 8 for item in iterable: self.add(item) def get_probes(self, key): h = int(hashlib.sha256(key.encode()).hexdigest(), 16) for _ in range(self.k): yield h & self.m - 1 h >>= self.k def add(self, key): for i in self.get_probes(key): self.array[i//8] |= 2 ** (i%8) self.elements += 1 @property def density(self): c = ''.join(format(x, '08b') for x in self.array) return c.count('1') / len(c) def __contains__(self, key): return all(self.array[i//8] & (2 ** (i%8)) for i in self.get_probes(key)) def __len__(self): return self.elements class JSONRequest(Request): if werkzeug.version.startswith("0.8"): def get_data(self, **kw): return self.data.decode('utf-8') def get_json(self): try: return json.loads(self.get_data(as_text=True)) except ValueError: raise BadRequest('Unable to read JSON request')
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from django.shortcuts import render import datetime # Create your views here. def tempView(request): date= datetime.datetime.now() MyDictionary={'date_msg' : date} return render(request, 'testApp/wish.html',context=MyDictionary)
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# -*- coding: utf-8 -*- # Generated by Django 1.11.17 on 2019-11-06 08:35 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('webservices', '0195_auto_20191106_0658'), ] operations = [ migrations.AddField( model_name='engageboostshipmentorders', name='return_delivery_date', field=models.DateField(blank=True, null=True), ), migrations.AddField( model_name='engageboostshipmentorders', name='return_driver_id', field=models.IntegerField(blank=True, null=True), ), ]
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#!/usr/bin/env python # -*- coding:utf-8 -*- class Solution: def isPalindrome(self, x: int) -> bool: s=str(x) div, mod = divmod(len(s), 2) if div == 0: return True if mod: left = s[:div] right = s[div+1:] else: left=s[:div] right = s[div:] if left == right[::-1]: return True else: return False # 题目要求不能将数字转为字符串后处理. 所以智能用+-*/反转数字然后做对比 class Solution: def isPalindrome(self, x: int) -> bool: if x < 0 or (x % 10 == 0 and x != 0): return False revertedNumber = 0 # 此处是将整数反转的方法,学到了 while x > revertedNumber: revertedNumber = revertedNumber * 10 + x % 10 x //= 10 return x == revertedNumber or x == revertedNumber // 10
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from django.db import models #model to group table class Group(models.Model): name = models.CharField("Name", max_length=150) description = models.TextField() def __str__(self): return self.name class Meta: verbose_name = "Group" verbose_name_plural = "Groups"
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p = int(input()) q = list(map(int,input().split())) c = 0 for i in range(p): for j in range(i,p): for k in range(j,p): if q[i]<q[j]<q[k]: c+=1 print(c)
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########################################################################## # # pgAdmin 4 - PostgreSQL Tools # # Copyright (C) 2013 - 2020, The pgAdmin Development Team # This software is released under the PostgreSQL Licence # ########################################################################## """ Implements Catalog objects Node.""" from functools import wraps from flask import render_template from flask_babelex import gettext import pgadmin.browser.server_groups.servers.databases as database from config import PG_DEFAULT_DRIVER from pgadmin.browser.server_groups.servers.databases.schemas.utils \ import SchemaChildModule from pgadmin.browser.utils import PGChildNodeView from pgadmin.utils.ajax import gone from pgadmin.utils.ajax import make_json_response, internal_server_error, \ make_response as ajax_response from pgadmin.utils.driver import get_driver class CatalogObjectModule(SchemaChildModule): """ class CatalogObjectModule(SchemaChildModule) A module class for Catalog objects node derived from SchemaChildModule. Methods: ------- * __init__(*args, **kwargs) - Method is used to initialize the Catalog objects and it's base module. * get_nodes(gid, sid, did, scid, coid) - Method is used to generate the browser collection node. * script_load() - Load the module script for Catalog objects, when any of the server node is initialized. """ _NODE_TYPE = 'catalog_object' _COLLECTION_LABEL = gettext("Catalog Objects") # Flag for not to show node under Schema/Catalog node # By default its set to True to display node in schema/catalog # We do not want to display 'Catalog Objects' under Schema/Catalog # but only in information_schema/sys/dbo CATALOG_DB_SUPPORTED = False SUPPORTED_SCHEMAS = ['information_schema', 'sys', 'dbo'] def __init__(self, *args, **kwargs): """ Method is used to initialize the CatalogObjectModule and it's base module. Args: *args: **kwargs: """ super(CatalogObjectModule, self).__init__(*args, **kwargs) self.min_ver = None self.max_ver = None def get_nodes(self, gid, sid, did, scid): """ Generate the collection node """ yield self.generate_browser_collection_node(scid) @property def script_load(self): """ Load the module script for server, when any of the database node is initialized. """ return database.DatabaseModule.node_type blueprint = CatalogObjectModule(__name__) class CatalogObjectView(PGChildNodeView): """ This class is responsible for generating routes for Catalog objects node. Methods: ------- * check_precondition() - This function will behave as a decorator which will checks database connection before running view, it will also attaches manager,conn & template_path properties to self * list() - Lists all the Catalog objects nodes within that collection. * nodes() - Creates all the nodes of type Catalog objects. * properties(gid, sid, did, scid, coid) - Shows the properties of the selected Catalog objects node. * dependency(gid, sid, did, scid): - Returns the dependencies list for the given catalog object node. * dependent(gid, sid, did, scid): - Returns the dependents list for the given Catalog objects node. """ node_type = blueprint.node_type parent_ids = [ {'type': 'int', 'id': 'gid'}, {'type': 'int', 'id': 'sid'}, {'type': 'int', 'id': 'did'}, {'type': 'int', 'id': 'scid'} ] ids = [ {'type': 'int', 'id': 'coid'} ] operations = dict({ 'obj': [{'get': 'properties'}, {'get': 'list'}], 'children': [{'get': 'children'}], 'nodes': [{'get': 'node'}, {'get': 'nodes'}], 'sql': [{'get': 'sql'}], 'dependency': [{'get': 'dependencies'}], 'dependent': [{'get': 'dependents'}] }) def check_precondition(f): """ This function will behave as a decorator which will checks database connection before running view, it will also attaches manager,conn & template_path properties to self """ @wraps(f) def wrap(*args, **kwargs): # Here args[0] will hold self & kwargs will hold gid,sid,did self = args[0] self.manager = get_driver(PG_DEFAULT_DRIVER).connection_manager( kwargs['sid'] ) self.conn = self.manager.connection(did=kwargs['did']) self.datlastsysoid = \ self.manager.db_info[kwargs['did']]['datlastsysoid'] \ if self.manager.db_info is not None and \ kwargs['did'] in self.manager.db_info else 0 self.template_path = 'catalog_object/sql/{0}/#{1}#'.format( 'ppas' if self.manager.server_type == 'ppas' else 'pg', self.manager.version ) return f(*args, **kwargs) return wrap @check_precondition def list(self, gid, sid, did, scid): """ This function is used to list all the catalog objects nodes within that collection. Args: gid: Server group ID sid: Server ID did: Database ID scid: Schema ID Returns: JSON of available catalog objects nodes """ SQL = render_template("/".join([ self.template_path, self._PROPERTIES_SQL ]), scid=scid ) status, res = self.conn.execute_dict(SQL) if not status: return internal_server_error(errormsg=res) return ajax_response( response=res['rows'], status=200 ) @check_precondition def nodes(self, gid, sid, did, scid): """ This function will used to create all the child node within that collection. Here it will create all the catalog objects node. Args: gid: Server Group ID sid: Server ID did: Database ID scid: Schema ID Returns: JSON of available catalog objects child nodes """ res = [] SQL = render_template( "/".join([self.template_path, self._NODES_SQL]), scid=scid ) status, rset = self.conn.execute_2darray(SQL) if not status: return internal_server_error(errormsg=rset) for row in rset['rows']: res.append( self.blueprint.generate_browser_node( row['oid'], scid, row['name'], icon="icon-catalog_object" )) return make_json_response( data=res, status=200 ) @check_precondition def node(self, gid, sid, did, scid, coid): """ This function will fetch properties of catalog objects node. Args: gid: Server Group ID sid: Server ID did: Database ID scid: Schema ID coid: Catalog object ID Returns: JSON of given catalog objects child node """ SQL = render_template( "/".join([self.template_path, self._NODES_SQL]), coid=coid ) status, rset = self.conn.execute_2darray(SQL) if not status: return internal_server_error(errormsg=rset) for row in rset['rows']: return make_json_response( data=self.blueprint.generate_browser_node( row['oid'], scid, row['name'], icon="icon-catalog_object" ), status=200 ) return gone( errormsg=gettext("Could not find the specified catalog object.")) @check_precondition def properties(self, gid, sid, did, scid, coid): """ This function will show the properties of the selected catalog objects node. Args: gid: Server Group ID sid: Server ID did: Database ID scid: Schema ID scid: Schema ID coid: Catalog object ID Returns: JSON of selected catalog objects node """ SQL = render_template( "/".join([self.template_path, self._PROPERTIES_SQL]), scid=scid, coid=coid ) status, res = self.conn.execute_dict(SQL) if not status: return internal_server_error(errormsg=res) if len(res['rows']) == 0: return gone( gettext("""Could not find the specified catalog object.""")) res['rows'][0]['is_sys_obj'] = ( res['rows'][0]['oid'] <= self.datlastsysoid) return ajax_response( response=res['rows'][0], status=200 ) @check_precondition def dependents(self, gid, sid, did, scid, coid): """ This function get the dependents and return ajax response for the catalog objects node. Args: gid: Server Group ID sid: Server ID did: Database ID scid: Schema ID coid: catalog objects ID """ dependents_result = self.get_dependents(self.conn, coid) return ajax_response( response=dependents_result, status=200 ) @check_precondition def dependencies(self, gid, sid, did, scid, coid): """ This function get the dependencies and return ajax response for the catalog objects node. Args: gid: Server Group ID sid: Server ID did: Database ID scid: Schema ID coid: catalog objects ID """ dependencies_result = self.get_dependencies(self.conn, coid) return ajax_response( response=dependencies_result, status=200 ) CatalogObjectView.register_node_view(blueprint)
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__author__ = 'patras' from domain_chargeableRobot import * from timer import DURATION from state import state DURATION.TIME = { 'put': 2, 'take': 2, 'perceive': 2, 'charge': 2, 'move': 2, 'moveToEmergency': 2, 'moveCharger': 2, 'addressEmergency': 2, 'wait': 2, } DURATION.COUNTER = { 'put': 2, 'take': 2, 'perceive': 2, 'charge': 2, 'move': 2, 'moveToEmergency': 2, 'moveCharger': 2, 'addressEmergency': 2, 'wait': 2, } rv.LOCATIONS = [1, 2, 3, 4, 5, 6, 7, 8] rv.EDGES = {1: [7], 2: [8], 3: [8], 4: [8], 5: [7], 6: [7], 7: [1, 5, 6, 8], 8: [2, 3, 4, 7]} rv.OBJECTS=['o1'] rv.ROBOTS=['r1'] def ResetState(): state.loc = {'r1': 2} state.charge = {'r1': 3} state.load = {'r1': NIL} state.pos = {'c1': 1, 'o1': UNK} state.containers = { 1:[],2:['o1'],3:[],4:[],5:[],6:[],7:[],8:[],} state.emergencyHandling = {'r1': False, 'r2': False} state.view = {} for l in rv.LOCATIONS: state.view[l] = False tasks = { 4: [['fetch', 'r1', 'o1']], } eventsEnv = { }
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#Generated by bots open source edi translator from UN-docs. from bots.botsconfig import * from edifact import syntax from recordsD12AUN import recorddefs structure = [ {ID: 'UNH', MIN: 1, MAX: 1, LEVEL: [ {ID: 'BGM', MIN: 1, MAX: 1}, {ID: 'RFF', MIN: 1, MAX: 2}, {ID: 'DTM', MIN: 0, MAX: 1}, {ID: 'FII', MIN: 1, MAX: 5, LEVEL: [ {ID: 'RFF', MIN: 0, MAX: 2}, {ID: 'CTA', MIN: 0, MAX: 1}, {ID: 'COM', MIN: 0, MAX: 5}, ]}, {ID: 'NAD', MIN: 1, MAX: 9, LEVEL: [ {ID: 'RFF', MIN: 0, MAX: 1}, {ID: 'CTA', MIN: 0, MAX: 1}, {ID: 'COM', MIN: 0, MAX: 5}, ]}, {ID: 'AUT', MIN: 0, MAX: 1, LEVEL: [ {ID: 'DTM', MIN: 0, MAX: 1}, ]}, {ID: 'UNT', MIN: 1, MAX: 1}, ]}, ]
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import argparse,sys,os APP_DESC=""" MarkTex is used to convert markdown document into tex format. 输出位置可以选择: - 在各自的md文件下 default,最低优先级 - 统一输出到一个目录下 -o "path" ,第二优先级 - 在各自给定的目录下 -e "",优先级最高 输出到对应文件的 "文件名" 所在的目录下: marktex a.md b.md ... 输出到一个同一的文件夹下: marktex a.md b.md ... -o "path" 指定输出到各自文件夹,必须保证路径个数和文件个数相同: marktex a.md b.md ... -e "pathfora" "pathforb" ... """ if len(sys.argv) == 1: sys.argv.append('--help') parser = argparse.ArgumentParser() parser.add_argument('mdfiles', metavar='mdfiles', type=str, nargs='+', help='place markdown path') parser.add_argument('-o','--output',type=str,default=None,help="指定统一路径") parser.add_argument('-e','--every',help="为每个文件分配路径",nargs="*") args = parser.parse_args() every = args.every mdfiles = args.mdfiles output = args.output output_paths = [] if every is not None: if len(every) != len(mdfiles): print("you ues -e option, the number of outputdirs must be equal to markdown files.") exit(1) output_paths = every elif output is not None: output_paths = [output]*len(mdfiles) else: for mdfile in mdfiles: mdfile = os.path.abspath(mdfile) mdpath,fname = os.path.splitext(mdfile) output_paths.append(mdpath) from marktex.texrender.toTex import MarkTex for mdfile,opath in zip(mdfiles,output_paths): _,fname = os.path.split(mdfile) fpre,_ = os.path.splitext(fname) doc = MarkTex.convert_file(mdfile,opath) doc.generate_tex(fpre) print(f"[info*]convert finished.") exit(0)
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M, C = map(int,input().split()) messages = [] for _ in range(M): messages.append(int(input())) consumers = [[False] * 1001 for _ in range(C)] max_idx = 0 for idx in range(1, 1001): for c in range(C): if not consumers[c][idx]: gap = messages.pop(0) consumers[c][idx: idx + gap] = [True] * gap if idx + gap - 1 > max_idx: max_idx = idx + gap - 1 if not messages: break if not messages: break print(max_idx)
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# import string library function import string # Storing the value in variable result result = string.digits # Printing the value print(help(string.digits)) '''print("I am = I'm") print("I have = I've") print("I have = I've") print("I had / would = I'd")'''
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import pickle import cryptography from cryptography.fernet import Fernet infile = open('pass.pkl','rb') j = pickle.load(infile) print(j) delpass = input("Password to delete") if "Website: " + delpass in j: del j["Website: " + delpass] outfile = open("test.pkl", "wb") pickle.dump(j, outfile) outfile.close() infile = open('test.pkl','rb') j = pickle.load(infile) print(j) else: print("NOPE")
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# import pytest # @pytest.fixture # def some_fixture(request): # return 'foo'
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#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "HouseholdLedger.settings") try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv)
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hezudao25/learnpython
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import time def set_func(func): def call_func(): start_time = time.time() func() stop_time = time.time() print("alltimeis %f" % (stop_time - start_time)) return call_func @set_func # 等价于 test1 = set_func(test1) def test1(): print("----test1-----") for i in range(10000): pass #test1 = set_func(test1) test1() #test1()
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felixvd/tiny_tf
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from .tf import * import numpy as np from . import transformations as tft from collections import namedtuple from . import geometry_msgs class Transformer(TFTree): """ This class implements the same interfaces as the ROS tf.TransformListener(). """ def __init__(self): super(Transformer, self).__init__() def setTransform(self, transform_stamped): """ For geometry_msgs.msg.TransformStamped """ xform = Transform(transform_stamped.transform.translation.x, transform_stamped.transform.translation.y, transform_stamped.transform.translation.z, transform_stamped.transform.rotation.x, transform_stamped.transform.rotation.y, transform_stamped.transform.rotation.z, transform_stamped.transform.rotation.w) parent = transform_stamped.header.frame_id child = transform_stamped.child_frame_id self.add_transform(parent, child, xform) def transformPoint(self, target_frame, point_stamped): """ point_stamped is a geometry_msgs.msg.PointStamped object. Returns a PointStamped transformed to target_frame. """ t = self.lookup_transform(point_stamped.header.frame_id, target_frame) p = self.transform_point(point_stamped.point.x, point_stamped.point.y, point_stamped.point.z, target_frame, point_stamped.header.frame_id) ps_out = geometry_msgs.msg.PointStamped() ps_out.header.frame_id = target_frame ps_out.point.x = p[0] ps_out.point.y = p[1] ps_out.point.z = p[2] return ps_out def transformPose(self, target_frame, pose_stamped): """ pose_stamped is a geometry_msgs.msg.PoseStamped object Returns a PoseStamped transformed to target_frame. """ t = self.lookup_transform(pose_stamped.header.frame_id, target_frame) p = self.transform_pose(pose_stamped.pose.position.x, pose_stamped.pose.position.y, pose_stamped.pose.position.z, pose_stamped.pose.orientation.x, pose_stamped.pose.orientation.y, pose_stamped.pose.orientation.z, pose_stamped.pose.orientation.w, target_frame, pose_stamped.header.frame_id) ps_out = geometry_msgs.msg.PoseStamped() ps_out.header.frame_id = target_frame ps_out.pose.position.x = p[0] ps_out.pose.position.y = p[1] ps_out.pose.position.z = p[2] ps_out.pose.orientation.x = p[3] ps_out.pose.orientation.y = p[4] ps_out.pose.orientation.z = p[5] ps_out.pose.orientation.w = p[6] return ps_out def lookupTransform(self, base_frame, target_frame): """ Returns a TransformStamped from base_frame to target_frame """ # TODO # t = geometry_msgs.msg.TransformStamped() return self.lookup_transform(base_frame, target_frame)
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[]
no_license
LiuFang816/SALSTM_py_data
6db258e51858aeff14af38898fef715b46980ac1
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refs/heads/master
2022-12-25T06:39:52.222097
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# -*- coding: utf-8 -*- # Copyright 2014-2016 OpenMarket Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from twisted.internet import defer from synapse.util.logcontext import ( PreserveLoggingContext, preserve_context_over_fn ) from synapse.util import unwrapFirstError import logging logger = logging.getLogger(__name__) def user_left_room(distributor, user, room_id): return preserve_context_over_fn( distributor.fire, "user_left_room", user=user, room_id=room_id ) def user_joined_room(distributor, user, room_id): return preserve_context_over_fn( distributor.fire, "user_joined_room", user=user, room_id=room_id ) class Distributor(object): """A central dispatch point for loosely-connected pieces of code to register, observe, and fire signals. Signals are named simply by strings. TODO(paul): It would be nice to give signals stronger object identities, so we can attach metadata, docstrings, detect typoes, etc... But this model will do for today. """ def __init__(self, suppress_failures=True): self.suppress_failures = suppress_failures self.signals = {} self.pre_registration = {} def declare(self, name): if name in self.signals: raise KeyError("%r already has a signal named %s" % (self, name)) self.signals[name] = Signal( name, suppress_failures=self.suppress_failures, ) if name in self.pre_registration: signal = self.signals[name] for observer in self.pre_registration[name]: signal.observe(observer) def observe(self, name, observer): if name in self.signals: self.signals[name].observe(observer) else: # TODO: Avoid strong ordering dependency by allowing people to # pre-register observations on signals that don't exist yet. if name not in self.pre_registration: self.pre_registration[name] = [] self.pre_registration[name].append(observer) def fire(self, name, *args, **kwargs): if name not in self.signals: raise KeyError("%r does not have a signal named %s" % (self, name)) return self.signals[name].fire(*args, **kwargs) class Signal(object): """A Signal is a dispatch point that stores a list of callables as observers of it. Signals can be "fired", meaning that every callable observing it is invoked. Firing a signal does not change its state; it can be fired again at any later point. Firing a signal passes any arguments from the fire method into all of the observers. """ def __init__(self, name, suppress_failures): self.name = name self.suppress_failures = suppress_failures self.observers = [] def observe(self, observer): """Adds a new callable to the observer list which will be invoked by the 'fire' method. Each observer callable may return a Deferred.""" self.observers.append(observer) @defer.inlineCallbacks def fire(self, *args, **kwargs): """Invokes every callable in the observer list, passing in the args and kwargs. Exceptions thrown by observers are logged but ignored. It is not an error to fire a signal with no observers. Returns a Deferred that will complete when all the observers have completed.""" def do(observer): def eb(failure): logger.warning( "%s signal observer %s failed: %r", self.name, observer, failure, exc_info=( failure.type, failure.value, failure.getTracebackObject())) if not self.suppress_failures: return failure return defer.maybeDeferred(observer, *args, **kwargs).addErrback(eb) with PreserveLoggingContext(): deferreds = [ do(observer) for observer in self.observers ] res = yield defer.gatherResults( deferreds, consumeErrors=True ).addErrback(unwrapFirstError) defer.returnValue(res) def __repr__(self): return "<Signal name=%r>" % (self.name,)
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no_license
aperiyed/servicegraph-cloudcenter
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# coding=UTF-8 # ********************************************************************** # Copyright (c) 2013-2019 Cisco Systems, Inc. All rights reserved # written by zen warriors, do not modify! # ********************************************************************** from cobra.mit.meta import ClassMeta from cobra.mit.meta import StatsClassMeta from cobra.mit.meta import CounterMeta from cobra.mit.meta import PropMeta from cobra.mit.meta import Category from cobra.mit.meta import SourceRelationMeta from cobra.mit.meta import NamedSourceRelationMeta from cobra.mit.meta import TargetRelationMeta from cobra.mit.meta import DeploymentPathMeta, DeploymentCategory from cobra.model.category import MoCategory, PropCategory, CounterCategory from cobra.mit.mo import Mo # ################################################## class RsNodeAtt(Mo): """ The static association with an access group is a bundled or unbundled group of ports. The existence of this object implies that the corresponding set of policies will be resolved into the node to which the relationship points. """ meta = SourceRelationMeta("cobra.model.fv.RsNodeAtt", "cobra.model.fabric.Node") meta.cardinality = SourceRelationMeta.N_TO_M meta.moClassName = "fvRsNodeAtt" meta.rnFormat = "rsnodeAtt-[%(tDn)s]" meta.category = MoCategory.RELATIONSHIP_TO_LOCAL meta.label = "Fabric Node" meta.writeAccessMask = 0x601 meta.readAccessMask = 0x601 meta.isDomainable = False meta.isReadOnly = False meta.isConfigurable = True meta.isDeletable = True meta.isContextRoot = False meta.childClasses.add("cobra.model.tag.Tag") meta.childClasses.add("cobra.model.fault.Counts") meta.childClasses.add("cobra.model.health.Inst") meta.childClasses.add("cobra.model.aaa.RbacAnnotation") meta.childClasses.add("cobra.model.tag.AliasDelInst") meta.childClasses.add("cobra.model.tag.ExtMngdInst") meta.childClasses.add("cobra.model.tag.AliasInst") meta.childClasses.add("cobra.model.tag.Inst") meta.childClasses.add("cobra.model.tag.Annotation") meta.childNamesAndRnPrefix.append(("cobra.model.tag.Annotation", "annotationKey-")) meta.childNamesAndRnPrefix.append(("cobra.model.tag.AliasDelInst", "aliasdel-")) meta.childNamesAndRnPrefix.append(("cobra.model.aaa.RbacAnnotation", "rbacDom-")) meta.childNamesAndRnPrefix.append(("cobra.model.tag.Tag", "tagKey-")) meta.childNamesAndRnPrefix.append(("cobra.model.fault.Counts", "fltCnts")) meta.childNamesAndRnPrefix.append(("cobra.model.tag.ExtMngdInst", "extmngd")) meta.childNamesAndRnPrefix.append(("cobra.model.health.Inst", "health")) meta.childNamesAndRnPrefix.append(("cobra.model.tag.AliasInst", "alias")) meta.childNamesAndRnPrefix.append(("cobra.model.tag.Inst", "tag-")) meta.parentClasses.add("cobra.model.fv.AEPg") meta.superClasses.add("cobra.model.reln.Inst") meta.superClasses.add("cobra.model.reln.To") meta.rnPrefixes = [ ('rsnodeAtt-', True), ] prop = PropMeta("str", "annotation", "annotation", 37659, PropCategory.REGULAR) prop.label = "Annotation. Suggested format orchestrator:value" prop.isConfig = True prop.isAdmin = True prop.range = [(0, 128)] prop.regex = ['[a-zA-Z0-9_.:-]+'] meta.props.add("annotation", prop) prop = PropMeta("str", "childAction", "childAction", 4, PropCategory.CHILD_ACTION) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("deleteAll", "deleteall", 16384) prop._addConstant("deleteNonPresent", "deletenonpresent", 8192) prop._addConstant("ignore", "ignore", 4096) meta.props.add("childAction", prop) prop = PropMeta("str", "descr", "descr", 19108, PropCategory.REGULAR) prop.label = "None" prop.isConfig = True prop.isAdmin = True prop.range = [(0, 128)] prop.regex = ['[a-zA-Z0-9\\!#$%()*,-./:;@ _{|}~?&+]+'] meta.props.add("descr", prop) prop = PropMeta("str", "dn", "dn", 1, PropCategory.DN) prop.label = "None" prop.isDn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("dn", prop) prop = PropMeta("str", "encap", "encap", 12338, PropCategory.REGULAR) prop.label = "None" prop.isConfig = True prop.isAdmin = True meta.props.add("encap", prop) prop = PropMeta("str", "extMngdBy", "extMngdBy", 39798, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "undefined" prop._addConstant("msc", "msc", 1) prop._addConstant("undefined", "undefined", 0) meta.props.add("extMngdBy", prop) prop = PropMeta("str", "forceResolve", "forceResolve", 107, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = True prop.defaultValueStr = "yes" prop._addConstant("no", None, False) prop._addConstant("yes", None, True) meta.props.add("forceResolve", prop) prop = PropMeta("str", "instrImedcy", "instrImedcy", 12339, PropCategory.REGULAR) prop.label = "None" prop.isConfig = True prop.isAdmin = True prop.defaultValue = 2 prop.defaultValueStr = "lazy" prop._addConstant("immediate", "immediate", 1) prop._addConstant("lazy", "on-demand", 2) meta.props.add("instrImedcy", prop) prop = PropMeta("str", "lcC", "lcC", 12340, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("802-dot-1x", "802-dot-1x", 16) prop._addConstant("dynamic", "dynamic", 8) prop._addConstant("learned", "learned", 2) prop._addConstant("poe", "poe", 32) prop._addConstant("static", "static", 4) prop._addConstant("vmm", "vmm", 1) meta.props.add("lcC", prop) prop = PropMeta("str", "lcOwn", "lcOwn", 9, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "local" prop._addConstant("implicit", "implicit", 4) prop._addConstant("local", "local", 0) prop._addConstant("policy", "policy", 1) prop._addConstant("replica", "replica", 2) prop._addConstant("resolveOnBehalf", "resolvedonbehalf", 3) meta.props.add("lcOwn", prop) prop = PropMeta("str", "modTs", "modTs", 7, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "never" prop._addConstant("never", "never", 0) meta.props.add("modTs", prop) prop = PropMeta("str", "mode", "mode", 12341, PropCategory.REGULAR) prop.label = "None" prop.isConfig = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "regular" prop._addConstant("native", "access-(802.1p)", 1) prop._addConstant("regular", "trunk", 0) prop._addConstant("untagged", "access-(untagged)", 2) meta.props.add("mode", prop) prop = PropMeta("str", "monPolDn", "monPolDn", 34097, PropCategory.REGULAR) prop.label = "Monitoring policy attached to this observable object" prop.isImplicit = True prop.isAdmin = True meta.props.add("monPolDn", prop) prop = PropMeta("str", "rType", "rType", 106, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 1 prop.defaultValueStr = "mo" prop._addConstant("local", "local", 3) prop._addConstant("mo", "mo", 1) prop._addConstant("service", "service", 2) meta.props.add("rType", prop) prop = PropMeta("str", "rn", "rn", 2, PropCategory.RN) prop.label = "None" prop.isRn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("rn", prop) prop = PropMeta("str", "state", "state", 103, PropCategory.REGULAR) prop.label = "State" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "unformed" prop._addConstant("cardinality-violation", "cardinality-violation", 5) prop._addConstant("formed", "formed", 1) prop._addConstant("invalid-target", "invalid-target", 4) prop._addConstant("missing-target", "missing-target", 2) prop._addConstant("unformed", "unformed", 0) meta.props.add("state", prop) prop = PropMeta("str", "stateQual", "stateQual", 104, PropCategory.REGULAR) prop.label = "State Qualifier" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "none" prop._addConstant("default-target", "default-target", 2) prop._addConstant("mismatch-target", "mismatch-target", 1) prop._addConstant("none", "none", 0) meta.props.add("stateQual", prop) prop = PropMeta("str", "status", "status", 3, PropCategory.STATUS) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("created", "created", 2) prop._addConstant("deleted", "deleted", 8) prop._addConstant("modified", "modified", 4) meta.props.add("status", prop) prop = PropMeta("str", "tCl", "tCl", 12337, PropCategory.REGULAR) prop.label = "Target-class" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 443 prop.defaultValueStr = "fabricNode" prop._addConstant("fabricNode", None, 443) prop._addConstant("unspecified", "unspecified", 0) meta.props.add("tCl", prop) prop = PropMeta("str", "tDn", "tDn", 12336, PropCategory.REGULAR) prop.label = "Target-dn" prop.isConfig = True prop.isAdmin = True prop.isCreateOnly = True prop.isNaming = True meta.props.add("tDn", prop) prop = PropMeta("str", "tType", "tType", 105, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 1 prop.defaultValueStr = "mo" prop._addConstant("all", "all", 2) prop._addConstant("mo", "mo", 1) prop._addConstant("name", "name", 0) meta.props.add("tType", prop) prop = PropMeta("str", "uid", "uid", 8, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True meta.props.add("uid", prop) meta.namingProps.append(getattr(meta.props, "tDn")) getattr(meta.props, "tDn").needDelimiter = True # Deployment Meta meta.deploymentQuery = True meta.deploymentType = "Ancestor" meta.deploymentQueryPaths.append(DeploymentPathMeta("ATgToGraphInst", "Graph Instances", "cobra.model.vns.GraphInst")) meta.deploymentQueryPaths.append(DeploymentPathMeta("AEPgToVirtualMachines", "Virtual Machines", "cobra.model.comp.Vm")) meta.deploymentQueryPaths.append(DeploymentPathMeta("EPgToNwIf", "Interface", "cobra.model.nw.If")) def __init__(self, parentMoOrDn, tDn, markDirty=True, **creationProps): namingVals = [tDn] Mo.__init__(self, parentMoOrDn, markDirty, *namingVals, **creationProps) # End of package file # ##################################################
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/sp1/python数据采集/数据采集基础/数据采集基本操作.py
a785c16fafcc2c6f8a703fe2c97dc5fc18c6eb6d
[]
no_license
chengqiangaoci/back
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a26da4e4f088afb57c4122eedb0cd42bb3052b16
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import requests from bs4 import BeautifulSoup #基本操作 # url = "http://www.pythonscraping.com/pages/page1.html" # response = requests.get(url) # soup = BeautifulSoup(response.text,"html.parser") # print(soup) # url = "http://www.pythonscraping.com/pages/warandpeace.html" # response = requests.get(url) # soup = BeautifulSoup(response.text,"html.parser") # namelist = soup.find_all("span",{"class":"green"}) # print(namelist.text) # url = "https://en.wikipedia.org/wiki/Kevin_Bacon" # response = requests.get(url) # soup = BeautifulSoup(response.text,"html.parser") # for link in soup.find_all("a"): #a标签 # if "href" in link.attrs: # print(link.attrs["href"]) #子标签与后代标签 # url = "http://www.pythonscraping.com/pages/page3.html" # response = requests.get(url) # soup = BeautifulSoup(response.text,"html.parser") # testlist = soup.find_all("table",{"id":"giftList"}) # for list in testlist: # print(list.get_text())#只获取文本,没有标签 #正则表达式 import re url = "http://www.pythonscraping.com/pages/page3.html" response = requests.get(url) soup = BeautifulSoup(response.text,"html.parser") images = soup.find_all("img",{"src":re.compile("\.\.\/img\/gifts\/img.*\.jpg")}) for image in images: print(image["src"])
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/Uncertainty/data/case-ln/case_ln_134.py
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from numpy import array def case_ln_134(): ppc = {"version": '2'} ppc["baseMVA"] = 100.0 ppc["bus"] = array([ [1.0, 1.0, 71.1786, 18.981, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [2.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [4.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [5.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [6.0, 1.0, 14.2357, 5.2198, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [7.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [8.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [9.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 11.0, 1.0, 1.1, 0.95, 0.6, 10 ], [10.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 11.0, 1.0, 1.1, 0.95, 0.6, 10 ], [11.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ], [12.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ], [13.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [14.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [15.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ], [16.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ], [17.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ], [18.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 66.0, 1.0, 1.1, 0.95, 0.6, 10 ], [19.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [20.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [21.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [22.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [23.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [24.0, 2.0, 4.7452, 2.8471, 0.0, 0.0, 1.0, 1.0, 0.0, 6.3, 1.0, 1.1, 0.95, 0.6, 10 ], [25.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [26.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [27.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [28.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [29.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 35.0, 1.0, 1.1, 0.95, 0.6, 10 ], [30.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 13.8, 1.0, 1.1, 0.95, 0.6, 10 ], [31.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 13.8, 1.0, 1.1, 0.95, 0.6, 10 ], [32.0, 2.0, 3.3217, 2.8472, 0.0, 0.0, 1.0, 1.0, 0.0, 20.0, 1.0, 1.1, 0.95, 0.6, 10 ], [33.0, 2.0, 2.8471, 2.8471, 0.0, 0.0, 1.0, 1.0, 0.0, 15.75, 1.0, 1.1, 0.95, 0.6, 10 ], [34.0, 2.0, 2.8471, 2.8471, 0.0, 0.0, 1.0, 1.0, 0.0, 15.75, 1.0, 1.1, 0.95, 0.6, 10 ], [35.0, 2.0, 6.6433, 2.8471, 0.0, 0.0, 1.0, 1.0, 0.0, 24.0, 1.0, 1.1, 0.95, 0.6, 10 ], [36.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [37.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [38.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [39.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [40.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [41.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [42.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [43.0, 1.0, 80.4792, 3.018, 5e-07, -5e-07, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [44.0, 1.0, 94.9048, 5.941, 5e-07, -5e-07, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [45.0, 1.0, 94.9048, 5.941, 5e-07, -5e-07, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [46.0, 1.0, 94.9048, 5.941, 5e-07, -5e-07, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [47.0, 1.0, 94.9048, 5.941, 5e-07, -5e-07, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [48.0, 1.0, 47.4524, 6.1783, 1e-06, -1e-06, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [49.0, 1.0, 98.701, 6.1783, 5e-07, -5e-07, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [50.0, 1.0, 19.7402, 6.1783, 5e-07, -5e-07, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [51.0, 1.0, 56.9429, 18.981, 5e-07, -5e-07, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [52.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [53.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [54.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [55.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [56.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [57.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [58.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 ], [59.0, 1.0, 94.9048, 5.941, 0.0, 0.0, 1.0, 1.0, 0.0, 220.0, 1.0, 1.1, 0.95, 0.6, 10 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JoFrhwld/python-acoustic-similarity
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import os from subprocess import Popen, PIPE import re from acousticsim.exceptions import AcousticSimPraatError def run_script(praat_path, script_path, *args): com = [praat_path] if praat_path.endswith('con.exe'): com += ['-a'] com +=[script_path] + list(map(str,args)) err = '' text = '' with Popen(com, stdout=PIPE, stderr=PIPE, stdin=PIPE) as p: try: text = str(p.stdout.read().decode('latin')) err = str(p.stderr.read().decode('latin')) except UnicodeDecodeError: print(p.stdout.read()) print(p.stderr.read()) if (err and not err.strip().startswith('Warning')) or not text: print(args) raise(AcousticSimPraatError(err)) return text def read_praat_out(text): if not text: return None lines = text.splitlines() head = None while head is None: try: l = lines.pop(0) except IndexError: print(text) raise if l.startswith('time'): head = re.sub('[(]\w+[)]','',l) head = head.split("\t")[1:] output = {} for l in lines: if '\t' in l: line = l.split("\t") time = line.pop(0) values = {} for j in range(len(line)): v = line[j] if v != '--undefined--': try: v = float(v) except ValueError: print(text) print(head) else: v = 0 values[head[j]] = v if values: output[float(time)] = values return output
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/kiwibackend/doc/python/PBMailOperationMessage_PBRequest.py
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[]
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whiteprism/mywork
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refs/heads/master
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class PBMailOperationMessage_PBRequest(): def __init__(self): self.category = -1 self.ids = [] self._type = -1
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/tools/infer_simple.py
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zhangjunyi1225054736/--object-detection
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refs/heads/master
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from __future__ import absolute_import from __future__ import division from __future__ import print_function import argparse import distutils.util import os import sys import pprint import subprocess from collections import defaultdict from six.moves import xrange # Use a non-interactive backend import matplotlib matplotlib.use('Agg') import numpy as np import cv2 import torch import torch.nn as nn from torch.autograd import Variable import _init_paths import nn as mynn from core.config import cfg, cfg_from_file, cfg_from_list, assert_and_infer_cfg from core.test import im_detect_all from modeling.model_builder import Generalized_RCNN import datasets.dummy_datasets as datasets import utils.misc as misc_utils import utils.net as net_utils import utils.vis as vis_utils from utils.detectron_weight_helper import load_detectron_weight from utils.timer import Timer # OpenCL may be enabled by default in OpenCV3; disable it because it's not # thread safe and causes unwanted GPU memory allocations. cv2.ocl.setUseOpenCL(False) import json source_365 = "/mnt/md126/zhangjunyi/365-object-detection/objects365_json/objects365_Tiny_val.json" result = [] def write_to_json(cls_boxes,image_name): image_id = image_name.split("_")[2].split(".")[0] image_id = int(image_id) with open(source_365, 'r') as f: data = json.load(f) categories = data["categories"] #result = [] id_list = [] for i in categories: category_id = i["id"] id_list.append(category_id) #print("id_list:",id_list) #print(len(cls_boxes)) #exit() #return 1 for j in range(1,len(cls_boxes)): category_id = id_list[j-1] if len(cls_boxes[j]) != 0: for line in cls_boxes[j]: d = {} x = round(float(line[0]),1) y = round(float(line[1]),1) w = round((float(line[2]) - float(line[0])),1) h = round((float(line[3]) - float(line[1])),1) bbox = [x,y,w,h] score = round(float(line[4]),2) d["image_id"] = image_id d["category_id"] = category_id d["bbox"] = bbox d["score"] = score result.append(d) else: pass #f_json = open('result.json','w',encoding='utf-8') #str_json=json.dump(result,f_json) return result def parse_args(): """Parse in command line arguments""" parser = argparse.ArgumentParser(description='Demonstrate mask-rcnn results') parser.add_argument( '--dataset', required=True, help='training dataset') parser.add_argument( '--cfg', dest='cfg_file', required=True, help='optional config file') parser.add_argument( '--set', dest='set_cfgs', help='set config keys, will overwrite config in the cfg_file', default=[], nargs='+') parser.add_argument( '--no_cuda', dest='cuda', help='whether use CUDA', action='store_false') parser.add_argument('--load_ckpt', help='path of checkpoint to load') parser.add_argument( '--load_detectron', help='path to the detectron weight pickle file') parser.add_argument( '--image_dir', help='directory to load images for demo') parser.add_argument( '--images', nargs='+', help='images to infer. Must not use with --image_dir') parser.add_argument( '--output_dir', help='directory to save demo results', default="infer_outputs") parser.add_argument( '--merge_pdfs', type=distutils.util.strtobool, default=True) args = parser.parse_args() return args def main(): """main function""" if not torch.cuda.is_available(): sys.exit("Need a CUDA device to run the code.") args = parse_args() print('Called with args:') print(args) assert args.image_dir or args.images assert bool(args.image_dir) ^ bool(args.images) if args.dataset.startswith("coco"): dataset = datasets.get_coco_dataset() cfg.MODEL.NUM_CLASSES = 66 elif args.dataset.startswith("keypoints_coco"): dataset = datasets.get_coco_dataset() cfg.MODEL.NUM_CLASSES = 2 else: raise ValueError('Unexpected dataset name: {}'.format(args.dataset)) print('load cfg from file: {}'.format(args.cfg_file)) cfg_from_file(args.cfg_file) if args.set_cfgs is not None: cfg_from_list(args.set_cfgs) assert bool(args.load_ckpt) ^ bool(args.load_detectron), \ 'Exactly one of --load_ckpt and --load_detectron should be specified.' cfg.MODEL.LOAD_IMAGENET_PRETRAINED_WEIGHTS = False # Don't need to load imagenet pretrained weights assert_and_infer_cfg() maskRCNN = Generalized_RCNN() if args.cuda: maskRCNN.cuda() if args.load_ckpt: load_name = args.load_ckpt print("loading checkpoint %s" % (load_name)) checkpoint = torch.load(load_name, map_location=lambda storage, loc: storage) net_utils.load_ckpt(maskRCNN, checkpoint['model']) if args.load_detectron: print("loading detectron weights %s" % args.load_detectron) load_detectron_weight(maskRCNN, args.load_detectron) maskRCNN = mynn.DataParallel(maskRCNN, cpu_keywords=['im_info', 'roidb'], minibatch=True, device_ids=[0]) # only support single GPU maskRCNN.eval() if args.image_dir: imglist = misc_utils.get_imagelist_from_dir(args.image_dir) else: imglist = args.images num_images = len(imglist) print("num_images:", num_images) if not os.path.exists(args.output_dir): os.makedirs(args.output_dir) img_list = open("/mnt/md126/zhangjunyi/365-object-detection/VOC2007/ImageSets/Main/test.txt") lines = img_list.readlines() for i in xrange(len(lines)): print('img', i) path_dir = "/mnt/md126/zhangjunyi/365-object-detection/VOC2007/JPEGImages/" print(lines[i].strip()) im = cv2.imread(path_dir+lines[i].strip()) assert im is not None timers = defaultdict(Timer) cls_boxes, cls_segms, cls_keyps = im_detect_all(maskRCNN, im, timers=timers) write_to_json(cls_boxes, lines[i].strip()) f_json = open('result.json','w',encoding='utf-8') str_json=json.dump(result,f_json) #print("cls_boxes:", np.array(cls_boxes)[1].shape) #im_name, _ = os.path.splitext(os.path.basename(imglist[i])) ''' vis_utils.vis_one_image( im[:, :, ::-1], # BGR -> RGB for visualization im_name, args.output_dir, cls_boxes, cls_segms, cls_keyps, dataset=dataset, box_alpha=0.3, show_class=True, thresh=0.7, kp_thresh=2 ) ''' if args.merge_pdfs and num_images > 1: merge_out_path = '{}/results.pdf'.format(args.output_dir) if os.path.exists(merge_out_path): os.remove(merge_out_path) command = "pdfunite {}/*.pdf {}".format(args.output_dir, merge_out_path) subprocess.call(command, shell=True) if __name__ == '__main__': main()
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/mysite/.history/api/views_20211014221913.py
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[]
no_license
ritikalohia/django-rest-students
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from django.shortcuts import render # Create your views here. from rest_framework.decorators import api_view from rest_framework.response import Response from .serializers import NoteSerializer from .models import Student from api import serializers @api_view(['GET']) def getRoutes(request): routes = [ { 'Endpoint': '/students/', 'method': 'GET', 'body': None, 'description': 'Returns an array of notes' }, { 'Endpoint': '/students/id', 'method': 'GET', 'body': None, 'description': 'Returns a single note object' }, { 'Endpoint': '/students/create/', 'method': 'POST', 'body': {'body': ""}, 'description': 'Creates a new note with data sent in post req' }, { 'Endpoint': '/students/id/update/', 'method': 'PUT', 'body': {'body': ""}, 'description': 'Updates an existing note with data sent in post req' }, { 'Endpoint': '/students/id/delete/', 'method': 'DELETE', 'body': None, 'description': 'Deletes the existing node' } ] return Response(routes) @api_view(['GET']) def getNotes(request): notes = Student.objects.all() serializer = NoteSerializer(notes, many=True) return Response(serializer.data) @api_view(['GET']) def getNote(request, pk): note = Student.objects.get(id=pk) serializer = NoteSerializer(note, many=False) return Response(serializer.data) @api_view(['POST']) def createNote(request): data = request.data note = Student.objects.create( body=data['body'] ) serializer = NoteSerializer(note, many=False) return Response(serializer.data) @api_view(['PUT']) def updateNote(request, pk): data = request.data note = Student.objects.get(id=pk) serializer = NoteSerializer(note, data=request.data) if serializer.is_valid(): serializer.save() return Response(serializer.data) @api_view(['DELETE']) def deleteNote(request, pk): note = Note.objects.get(id=pk) note.delete() return Response("Note was deleted")
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/sRNAtoolboxweb/setup.py
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sert23/toolbox
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import os from setuptools import find_packages, setup # allow setup.py to be run from any path os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir))) setup( name='srnatoolboxweb', version='2.0.0', packages=find_packages(), python_modules=['manage'], include_package_data=True, description='sRNAtoolbox Web Application', author='Antonio Rueda, Ernesto Aparicio', author_email='[email protected]', classifiers=[ 'Environment :: Other Environment', 'Framework :: Django', 'Framework :: Django :: 1.11.2', 'Intended Audience :: Other Audience', 'License :: Other/Proprietary License', 'Operating System :: OS Independent', 'Programming Language :: Python', 'Programming Language :: Python :: 2.7', 'Topic :: Scientific/Engineering', ], install_requires=[ "Django==1.11.2", "pytz==2017.2", "wheel==0.24.0", "dajax==1.3", "xlrd==1.0.0", "pygal==2.3.1", "djangorestframework==3.6.3", "django-tables2=1.7.1" ] )
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/setup.py
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trainapi/trainxtract
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f5c5078a20c702d0399906bbb3c07f61058a1c72
refs/heads/master
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from setuptools import setup, find_packages import itertools options = dict( name='trainxtract', version='0.0.1', packages=find_packages(), license='MIT', install_requires = ['pandas', 'click'], entry_points = { 'console_scripts' : [ 'trainxtract = trainxtract:run_app', 'trainxtract-help = trainxtract:run_help', 'trainxtract-final = trainxtract:run_final' ] } ) setup(**options)
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/pychron/hardware/tasks/hardware_preferences.py
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[]
no_license
INGPAN/pychron
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8592f9fc722f037a61b0b783d587633e22f11f2f
refs/heads/master
2021-08-15T00:50:21.392117
2015-01-19T20:07:41
2015-01-19T20:07:41
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#=============================================================================== # Copyright 2013 Jake Ross # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. #=============================================================================== #============= enthought library imports ======================= from traits.api import Bool, List, on_trait_change, String, Dict from traitsui.api import View, Item, Group, VGroup, HGroup, EnumEditor from pychron.envisage.tasks.base_preferences_helper import BasePreferencesHelper from envisage.ui.tasks.preferences_pane import PreferencesPane #============= standard library imports ======================== #============= local library imports ========================== class HardwarePreferences(BasePreferencesHelper): name = 'Hardware' preferences_path = 'pychron.hardware' enable_hardware_server = Bool auto_find_handle = Bool auto_write_handle = Bool system_lock_name = String system_lock_address = String enable_system_lock = Bool system_lock_names = List system_lock_addresses = Dict # enable_directory_server = Bool # directory_server_host = Str # directory_server_port = Int # directory_server_root = Str @on_trait_change('system_lock_name,enable_system_lock') def _update(self, obj, name, new): try: addr = self.system_lock_addresses[self.system_lock_name] except (TypeError, KeyError): return self.system_lock_address = addr class HardwarePreferencesPane(PreferencesPane): model_factory = HardwarePreferences category = 'Hardware' def traits_view(self): v = View( VGroup( Group( HGroup('enable_hardware_server', Item('enable_system_lock', enabled_when='enable_hardware_server')), # Group( # Item('system_lock_name', editor=EnumEditor(values=self.system_lock_names), # enabled_when='enable_system_lock'), # Item('system_lock_address', style='readonly', label='Host'), # enabled_when='enable_hardware_server'), label='Remote Hardware Server', show_border=True ), # Group( # Item('enable_directory_server'), # Item('directory_server_root', enabled_when='enable_directory_server'), # Item('directory_server_host', enabled_when='enable_directory_server'), # Item('directory_server_port', enabled_when='enable_directory_server'), # show_border=True, # label='Directory Server' # ), Group( 'auto_find_handle', Item('auto_write_handle', enabled_when='auto_find_handle'), label='Serial', show_border=True ), ), scrollable=True ) return v #============= EOF =============================================
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/google/ads/googleads/v8/googleads-py/google/ads/googleads/v8/services/types/keyword_plan_ad_group_service.py
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# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import proto # type: ignore from google.ads.googleads.v8.resources.types import keyword_plan_ad_group from google.protobuf import field_mask_pb2 # type: ignore from google.rpc import status_pb2 # type: ignore __protobuf__ = proto.module( package='google.ads.googleads.v8.services', marshal='google.ads.googleads.v8', manifest={ 'GetKeywordPlanAdGroupRequest', 'MutateKeywordPlanAdGroupsRequest', 'KeywordPlanAdGroupOperation', 'MutateKeywordPlanAdGroupsResponse', 'MutateKeywordPlanAdGroupResult', }, ) class GetKeywordPlanAdGroupRequest(proto.Message): r"""Request message for [KeywordPlanAdGroupService.GetKeywordPlanAdGroup][google.ads.googleads.v8.services.KeywordPlanAdGroupService.GetKeywordPlanAdGroup]. Attributes: resource_name (str): Required. The resource name of the Keyword Plan ad group to fetch. """ resource_name = proto.Field( proto.STRING, number=1, ) class MutateKeywordPlanAdGroupsRequest(proto.Message): r"""Request message for [KeywordPlanAdGroupService.MutateKeywordPlanAdGroups][google.ads.googleads.v8.services.KeywordPlanAdGroupService.MutateKeywordPlanAdGroups]. Attributes: customer_id (str): Required. The ID of the customer whose Keyword Plan ad groups are being modified. operations (Sequence[google.ads.googleads.v8.services.types.KeywordPlanAdGroupOperation]): Required. The list of operations to perform on individual Keyword Plan ad groups. partial_failure (bool): If true, successful operations will be carried out and invalid operations will return errors. If false, all operations will be carried out in one transaction if and only if they are all valid. Default is false. validate_only (bool): If true, the request is validated but not executed. Only errors are returned, not results. """ customer_id = proto.Field( proto.STRING, number=1, ) operations = proto.RepeatedField( proto.MESSAGE, number=2, message='KeywordPlanAdGroupOperation', ) partial_failure = proto.Field( proto.BOOL, number=3, ) validate_only = proto.Field( proto.BOOL, number=4, ) class KeywordPlanAdGroupOperation(proto.Message): r"""A single operation (create, update, remove) on a Keyword Plan ad group. Attributes: update_mask (google.protobuf.field_mask_pb2.FieldMask): The FieldMask that determines which resource fields are modified in an update. create (google.ads.googleads.v8.resources.types.KeywordPlanAdGroup): Create operation: No resource name is expected for the new Keyword Plan ad group. update (google.ads.googleads.v8.resources.types.KeywordPlanAdGroup): Update operation: The Keyword Plan ad group is expected to have a valid resource name. remove (str): Remove operation: A resource name for the removed Keyword Plan ad group is expected, in this format: ``customers/{customer_id}/keywordPlanAdGroups/{kp_ad_group_id}`` """ update_mask = proto.Field( proto.MESSAGE, number=4, message=field_mask_pb2.FieldMask, ) create = proto.Field( proto.MESSAGE, number=1, oneof='operation', message=keyword_plan_ad_group.KeywordPlanAdGroup, ) update = proto.Field( proto.MESSAGE, number=2, oneof='operation', message=keyword_plan_ad_group.KeywordPlanAdGroup, ) remove = proto.Field( proto.STRING, number=3, oneof='operation', ) class MutateKeywordPlanAdGroupsResponse(proto.Message): r"""Response message for a Keyword Plan ad group mutate. Attributes: partial_failure_error (google.rpc.status_pb2.Status): Errors that pertain to operation failures in the partial failure mode. Returned only when partial_failure = true and all errors occur inside the operations. If any errors occur outside the operations (e.g. auth errors), we return an RPC level error. results (Sequence[google.ads.googleads.v8.services.types.MutateKeywordPlanAdGroupResult]): All results for the mutate. The order of the results is determined by the order of the keywords in the original request. """ partial_failure_error = proto.Field( proto.MESSAGE, number=3, message=status_pb2.Status, ) results = proto.RepeatedField( proto.MESSAGE, number=2, message='MutateKeywordPlanAdGroupResult', ) class MutateKeywordPlanAdGroupResult(proto.Message): r"""The result for the Keyword Plan ad group mutate. Attributes: resource_name (str): Returned for successful operations. """ resource_name = proto.Field( proto.STRING, number=1, ) __all__ = tuple(sorted(__protobuf__.manifest))
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/codeforces/509-B/509-B-9647351.py
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kautsiitd/Competitive_Programming
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n,k=map(int,raw_input().split()) a=map(int,raw_input().split()) l=min(a) if(max(a)-min(a)>k): print "NO" else: print "YES" for i in range(n): for j in range(l): print 1, for j in range(l,a[i]): print j-l+1, print ""
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from checkov.common.models.enums import CheckCategories, CheckResult from checkov.dockerfile.base_dockerfile_check import BaseDockerfileCheck class RootUser(BaseDockerfileCheck): def __init__(self): name = "Ensure the last USER is not root" id = "CKV_DOCKER_8" supported_instructions = ["USER"] categories = [CheckCategories.APPLICATION_SECURITY] super().__init__(name=name, id=id, categories=categories, supported_instructions=supported_instructions) def scan_entity_conf(self, conf): last_user = conf[-1] if last_user["value"] == "root": return CheckResult.FAILED, last_user return CheckResult.PASSED, last_user check = RootUser()
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/swea/tree/practice/hip.py
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dowookims/ProblemSolving
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''' 선형 자료구조에서 priority queue 는 선형 자료에서 O(n^2)를 차지해서 이를 대체하기 위해 나온데 힙 힙은 두가지 조건이 맞춰줘야 하는데 1. 구조적인 모습이 완전 이진트리여야 함(앞에서부터 완전히 채워져야 함) 2. 내부 논리 모습은 부모의 노드가 자식보다 항상 크거나 작아야 함(일관성) 최대 힙 : 키 값이 가장 큰 노드를 찾기 위한 완전이진트리 루트가 가장 큰 값을 가지고 있음. 최소 힙 : 최대 힙의 반대 삽입, 삭제가 존재하고, 구조를 유지시켜주게 만들어야 하는게 개발자의 숙명 힙은 프라이어티를 사용하기 위해 사용( Max, Min) 그리고 이제 루트에 있음. 그렇기에 삭제를 루트에서 진행함. '''
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"""simplemoc URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/1.9/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.conf.urls import url, include 2. Add a URL to urlpatterns: url(r'^blog/', include('blog.urls')) """ from django.conf.urls import url, include from django.contrib import admin import simplemoc.core.views urlpatterns = [ url(r'^', include('simplemoc.core.urls', namespace='core')), # url(r'^', simplemoc.core.urls), url(r'^admin/', admin.site.urls), ]
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A, B = map(int, input().split()) if A >= 13: print(B) elif 6 <= A <= 12: print(B // 2) else: print(0)
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# coding: utf-8 import re import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class CreateValueListRequestBody: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ sensitive_list = [] openapi_types = { 'name': 'str', 'type': 'str', 'values': 'list[str]', 'description': 'str' } attribute_map = { 'name': 'name', 'type': 'type', 'values': 'values', 'description': 'description' } def __init__(self, name=None, type=None, values=None, description=None): """CreateValueListRequestBody - a model defined in huaweicloud sdk""" self._name = None self._type = None self._values = None self._description = None self.discriminator = None self.name = name self.type = type if values is not None: self.values = values if description is not None: self.description = description @property def name(self): """Gets the name of this CreateValueListRequestBody. 引用表名称,2-32位字符串组成 :return: The name of this CreateValueListRequestBody. :rtype: str """ return self._name @name.setter def name(self, name): """Sets the name of this CreateValueListRequestBody. 引用表名称,2-32位字符串组成 :param name: The name of this CreateValueListRequestBody. :type: str """ self._name = name @property def type(self): """Gets the type of this CreateValueListRequestBody. 引用表类型,参见枚举列表 :return: The type of this CreateValueListRequestBody. :rtype: str """ return self._type @type.setter def type(self, type): """Sets the type of this CreateValueListRequestBody. 引用表类型,参见枚举列表 :param type: The type of this CreateValueListRequestBody. :type: str """ self._type = type @property def values(self): """Gets the values of this CreateValueListRequestBody. 引用表的值 :return: The values of this CreateValueListRequestBody. :rtype: list[str] """ return self._values @values.setter def values(self, values): """Sets the values of this CreateValueListRequestBody. 引用表的值 :param values: The values of this CreateValueListRequestBody. :type: list[str] """ self._values = values @property def description(self): """Gets the description of this CreateValueListRequestBody. 引用表描述,最长128字符 :return: The description of this CreateValueListRequestBody. :rtype: str """ return self._description @description.setter def description(self, description): """Sets the description of this CreateValueListRequestBody. 引用表描述,最长128字符 :param description: The description of this CreateValueListRequestBody. :type: str """ self._description = description def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: if attr in self.sensitive_list: result[attr] = "****" else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" import simplejson as json if six.PY2: import sys reload(sys) sys.setdefaultencoding("utf-8") return json.dumps(sanitize_for_serialization(self), ensure_ascii=False) def __repr__(self): """For `print`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, CreateValueListRequestBody): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other
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rogeriosilva-ifpi/adsi-algoritmos-2016.1
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# Nao sao estas as questoes... # -*- coding: utf-8 -8- """6. Leia uma velocidade em km/h, calcule e escreva esta velocidade em m/s. (Vm/s = Vkm/h / 3.6)""" velokm = input("Insira um velocidade em k/h: ") veloms = velokm / 3.6 print "%.1f km/h equivale a %.1f m/s" % (velokm, veloms)
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simodalla/pympa-affarigenerali-OLD
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#!/usr/bin/env python # -*- coding: utf-8 -*- import os import sys import organigrammi try: from setuptools import setup except ImportError: from distutils.core import setup version = organigrammi.__version__ if sys.argv[-1] == 'publish': os.system('python setup.py sdist upload') print("You probably want to also tag the version now:") print(" git tag -a %s -m 'version %s'" % (version, version)) print(" git push --tags") sys.exit() readme = open('README.rst').read() history = open('HISTORY.rst').read().replace('.. :changelog:', '') setup( name='openpa-organigrammi', version=version, description="""Your project description goes here""", long_description=readme + '\n\n' + history, author='Simone Dalla', author_email='[email protected]', url='https://github.com/simodalla/openpa-organigrammi', packages=[ 'organigrammi', ], include_package_data=True, install_requires=[ ], license="BSD", zip_safe=False, keywords='openpa-organigrammi', classifiers=[ 'Development Status :: 2 - Pre-Alpha', 'Framework :: Django', 'Intended Audience :: Developers', 'License :: OSI Approved :: BSD License', 'Natural Language :: English', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.6', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.3', ], )
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/leetcode/array_and_string/array/plus_one.py
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#URL: https://leetcode.com/explore/learn/card/array-and-string/201/introduction-to-array/1148/ #Description """ Given a non-empty array of decimal digits representing a non-negative integer, increment one to the integer. The digits are stored such that the most significant digit is at the head of the list, and each element in the array contains a single digit. You may assume the integer does not contain any leading zero, except the number 0 itself. Example 1: Input: digits = [1,2,3] Output: [1,2,4] Explanation: The array represents the integer 123. Example 2: Input: digits = [4,3,2,1] Output: [4,3,2,2] Explanation: The array represents the integer 4321. Example 3: Input: digits = [0] Output: [1] Constraints: 1 <= digits.length <= 100 0 <= digits[i] <= 9 """ #TODO: Below method uses digit based addition. It would be worthwhile to try converting this list # to number. Adding one to it and then returning the result as a list back. It would also be good to # check which method would be faster def plusOne(digits): length = len(digits) assert length > 0 plusOneDigits = [] carryForward = False for i in range(length - 1, -1, -1): d = digits[i] newD = d if i == length - 1: newD += 1 if carryForward: newD += 1 carryForward = False if newD == 10: carryForward = True plusOneDigits.append(0) else: plusOneDigits.append(newD) if carryForward: plusOneDigits.append(1) newLen = len(plusOneDigits) for i in range(int(newLen/2)): pairId = newLen - 1 - i temp = plusOneDigits[i] plusOneDigits[i] = plusOneDigits[pairId] plusOneDigits[pairId] = temp return plusOneDigits
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# Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: http://doc.scrapy.org/topics/item-pipeline.html from scrapy.contrib.exporter import CsvItemExporter def remove_goop(text): return " ".join(text.split()) class AmazonCSVExport(CsvItemExporter): fields_to_export = ["Title", "URL", "Amazon_Price", "Cheapest", "Cheapest_Condition", "Cheapest_Cost_Ratio", "Prime_Price", "Prime_Condition", "Prime_Cost_Ratio"] class AmazonwishlistscraperPipeline(object): def process_item(self, item, spider): item["Prime_Condition"] = remove_goop(item["Prime_Condition"]) print item.keys() return item
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/2.78/Sets/toolplus_scene/ops_layer.py
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[]
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Pumpkin-Studios/ToolPlus
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# ##### BEGIN GPL LICENSE BLOCK ##### # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by the Free Software Foundation; either version 2 # of the License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software Foundation, # Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. # # ##### END GPL LICENSE BLOCK ##### # "Display Layers", by "author": "Vincent Gires", # http://vincentgires.com/tools/blender/addons/display_layers/v012/display_layers.py import bpy from bpy import* from bpy.props import * bpy.types.Scene.tp_funcly_type = bpy.props.EnumProperty( items = [("unhide", "(Un)Hide", "", "RESTRICT_VIEW_OFF", 1), ("apply", "Apply", "", "FILE_TICK", 2), ("remove", "Remove", "", "X", 3), ("render", "Render ", "", "RESTRICT_RENDER_OFF", 4), ("down", "Down", "", "TRIA_DOWN", 5), ("up", "UP", "", "TRIA_UP", 6)], name = "Modifier Function Type", default = "unhide", description="modifier function type") bpy.types.Scene.tp_modly_type = bpy.props.EnumProperty( items = [("non", "NonModi", "", "MODIFIER", 0), ("wireframe", "Wireframe", "", "MOD_WIREFRAME", 1), ("triangulate", "Triangulate", "", "MOD_TRIANGULATE", 2), ("subsurf", "Subsurf", "", "MOD_SUBSURF", 3), ("solidify", "Solidify", "", "MOD_SOLIDIFY", 4), ("skin", "Skin", "", "MOD_SKIN", 5), ("screw", "Screw", "", "MOD_SCREW", 6), ("remesh", "Remesh", "", "MOD_REMESH", 7), ("multires", "Multires", "", "MOD_MULTIRES", 8), ("mirror", "Mirror", "", "MOD_MIRROR", 9), ("mask", "Mask", "", "MOD_MASK", 10), ("edge_split", "Edge Split", "", "MOD_EDGESPLIT", 11), ("decimate", "Decimate", "", "MOD_DECIM", 12), ("build", "Build", "", "MOD_BUILD", 13), ("boolean", "Boolean", "", "MOD_BOOLEAN", 14), ("bevel", "Bevel", "", "MOD_BEVEL", 15), ("array", "Array", "", "MOD_ARRAY", 16), ("all", "AllModifier", "", "MODIFIER", 17), ("uv_warp", "UV Warp", "", "MOD_UVPROJECT", 19), ("uv_project", "UV Project", "", "MOD_UVPROJECT", 20), ("wave", "Wave", "", "MOD_WAVE", 21), ("warp", "Warp", "", "MOD_WARP", 22), ("smooth", "Smooth", "", "MOD_SMOOTH", 23), ("simple_deform", "Simple Deform", "", "MOD_SIMPLEDEFORM", 24), ("shrinkwrap", "Shrinkwrap", "", "MOD_SHRINKWRAP", 25), ("mesh_deform", "Mesh Deform", "", "MOD_MESHDEFORM", 26), ("lattice", "Lattice", "", "MOD_LATTICE", 27), ("laplaciandeform", "Laplacian Deform", "", "MOD_MESHDEFORM", 28), ("laplaciansmooth", "Laplacian Smooth", "", "MOD_SMOOTH", 29), ("hook", "Hook", "", "HOOK", 30), ("displace", "Displace", "", "MOD_DISPLACE", 31), ("curve", "Curve", "", "MOD_CURVE", 32), ("cast", "Cast", "", "MOD_CAST", 33), ("armature", "Armature", "", "MOD_ARMATURE", 34), ("vertex_weight_proximity", "Vertex Weight Proximity", "", "MOD_VERTEX_WEIGHT", 35), ("vertex_weight_mix", "Vertex Weight Mix", "", "MOD_VERTEX_WEIGHT", 36), ("vertex_weight_edit", "Vertex Weight Edit", "", "MOD_VERTEX_WEIGHT", 37), ("mesh_cache", "Mesh Cache", "", "MOD_MESHDEFORM", 38), ("surface", "Surface", "", "PHYSICS", 39), ("soft_body", "Soft Body", "", "MOD_SOFT", 40), ("smoke", "Smoke", "", "MOD_SMOKE", 41), ("particle_system", "Particle System", "", "MOD_PARTICLES", 42), ("particle_instance", "Particle Instance", "", "MOD_PARTICLES", 43), ("ocean", "Ocean", "", "MOD_OCEAN", 44), ("fluid_simulation", "Fluid Simulation", "", "MOD_FLUIDSIM", 45), ("explode", "Explode", "", "MOD_EXPLODE", 46), ("dynamic_paint", "Dynamic Paint", "", "MOD_DYNAMICPAINT", 47), ("collision", "Collision", "", "MOD_PHYSICS", 48), ("cloth", "Cloth", "", "MOD_CLOTH", 49)], name = "Modifier Type", default = "non", description="change modifier type") # FUNCTIONS # def apply_layer_settings(context): scene = bpy.context.scene selected = bpy.context.selected_objects active_layer_index = context.scene.display_layers_collection_index for obj in context.scene.objects: if obj.use_display_layer: layer = context.scene.display_layers_collection[obj.display_layer] if layer.display: obj.hide = False else: obj.hide = True if layer.select: obj.hide_select = False else: obj.hide_select = True if layer.render: obj.hide_render = False else: obj.hide_render = True if layer.wire: obj.show_wire = True obj.show_all_edges = True else: obj.show_wire = False obj.show_all_edges = False if layer.mody: enabled = obj.use_display_layer if enabled: contx = bpy.context.copy() contx['object'] = obj for mod in obj.modifiers: contx['modifier'] = mod name = contx['modifier'].name if scene.tp_modly_type == "all": if scene.tp_funcly_type == "render": mod.show_render = False if scene.tp_funcly_type == "unhide": mod.show_viewport = False if scene.tp_modly_type == "armature": if (mod.type == 'ARMATURE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "array": if (mod.type == 'ARRAY'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "bevel": if (mod.type == 'BEVEL'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "boolean": if (mod.type == 'BOOLEAN'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "build": if (mod.type == 'BUILD'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "mesh_cache": if (mod.type == 'MESH_CACHE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "cast": if (mod.type == 'CAST'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "cloth": if (mod.type == 'CLOTH'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "collision": if (mod.type == 'COLLISION'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "curve": if (mod.type == 'CURVE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "decimate": if (mod.type == 'DECIMATE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "displace": if (mod.type == 'DISPLACE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "dynamic_paint": if (mod.type == 'DYNAMIC_PAINT'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "edge_split": if (mod.type == 'EDGE_SPLIT'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "explode": if (mod.type == 'EXPLODE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "fluid_simulation": if (mod.type == 'FLUID_SIMULATION'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "hook": if (mod.type == 'HOOK'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "laplaciandeform": if (mod.type == 'LAPLACIANDEFORM'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "laplaciansmooth": if (mod.type == 'LAPLACIANSMOOTH'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "lattice": if (mod.type == 'LATTICE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "mask": if (mod.type == 'MASK'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "mesh_deform": if (mod.type == 'MESH_DEFORM'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "mirror": if (mod.type == 'MIRROR'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "multires": if (mod.type == 'MULTIRES'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "ocean": if (mod.type == 'OCEAN'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "particle_instance": if (mod.type == 'PARTICLE_INSTANCE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "particle_system": if (mod.type == 'PARTICLE_SYSTEM'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "screw": if (mod.type == 'SCREW'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "shrinkwrap": if (mod.type == 'SHRINKWRAP'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "simple_deform": if (mod.type == 'SIMPLE_DEFORM'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "smoke": if (mod.type == 'SMOKE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "smooth": if (mod.type == 'SMOOTH'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "soft_body": if (mod.type == 'SOFT_BODY'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "solidify": if (mod.type == 'SOLIDIFY'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "subsurf": if (mod.type == 'SUBSURF'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "surface": if (mod.type == 'SURFACE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "uv_project": if (mod.type == 'UV_PROJECT'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "warp": if (mod.type == 'WARP'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "wave": if (mod.type == 'WAVE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "remesh": if (mod.type == 'REMESH'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: passt if scene.tp_modly_type == "vertex_weight_edit": if (mod.type == 'VERTEX_WEIGHT_EDIT'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "vertex_weight_mix": if (mod.type == 'VERTEX_WEIGHT_MIX'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "vertex_weight_proximity": if (mod.type == 'VERTEX_WEIGHT_PROXIMITY'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "skin": if (mod.type == 'SKIN'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "triangulate": if (mod.type == 'TRIANGULATE'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "uv_warp": if (mod.type == 'UV_WARP'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "wireframe": if (mod.type == 'WIREFRAME'): if scene.tp_funcly_type == "render": if mod.show_render == True: obj.modifiers[name].show_render = False if scene.tp_funcly_type == "unhide": if mod.show_viewport == True: obj.modifiers[name].show_viewport = False # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass else: enabled = obj.use_display_layer if enabled: contx = bpy.context.copy() contx['object'] = obj for mod in obj.modifiers: contx['modifier'] = mod name = contx['modifier'].name if scene.tp_modly_type == "all": if scene.tp_funcly_type == "render": mod.show_render = True if scene.tp_funcly_type == "unhide": mod.show_viewport = True # HOW TO SEPARATE THE OPERATORS? # if scene.tp_funcly_type == "apply": for obj in context.scene.objects: if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = mod.name) else: pass if scene.tp_funcly_type == "remove": for obj in context.scene.objects: if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = mod.name) else: pass if scene.tp_modly_type == "armature": if (mod.type == 'ARMATURE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": for obj in context.scene.objects: if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = mod.name) else: pass if scene.tp_funcly_type == "remove": for obj in context.scene.objects: if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = mod.name) else: pass if scene.tp_funcly_type == "up": for obj in context.scene.objects: if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": for obj in context.scene.objects: if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "array": if (mod.type == 'ARRAY'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "bevel": if (mod.type == 'BEVEL'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "boolean": if (mod.type == 'BOOLEAN'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "build": if (mod.type == 'BUILD'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "mesh_cache": if (mod.type == 'MESH_CACHE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "cast": if (mod.type == 'CAST'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "cloth": if (mod.type == 'CLOTH'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True layer_operator(context) if scene.tp_modly_type == "collision": if (mod.type == 'COLLISION'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "curve": if (mod.type == 'CURVE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "decimate": if (mod.type == 'DECIMATE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "displace": if (mod.type == 'DISPLACE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "dynamic_paint": if (mod.type == 'DYNAMIC_PAINT'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "edge_split": if (mod.type == 'EDGE_SPLIT'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "explode": if (mod.type == 'EXPLODE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "fluid_simulation": if (mod.type == 'FLUID_SIMULATION'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "hook": if (mod.type == 'HOOK'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "laplaciandeform": if (mod.type == 'LAPLACIANDEFORM'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "laplaciansmooth": if (mod.type == 'LAPLACIANSMOOTH'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: passt if scene.tp_modly_type == "lattice": if (mod.type == 'LATTICE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "mask": if (mod.type == 'MASK'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "mesh_deform": if (mod.type == 'MESH_DEFORM'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "mirror": if (mod.type == 'MIRROR'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "multires": if (mod.type == 'MULTIRES'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "ocean": if (mod.type == 'OCEAN'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "particle_instance": if (mod.type == 'PARTICLE_INSTANCE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "particle_system": if (mod.type == 'PARTICLE_SYSTEM'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "screw": if (mod.type == 'SCREW'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "shrinkwrap": if (mod.type == 'SHRINKWRAP'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "simple_deform": if (mod.type == 'SIMPLE_DEFORM'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "smoke": if (mod.type == 'SMOKE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "smooth": if (mod.type == 'SMOOTH'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "soft_body": if (mod.type == 'SOFT_BODY'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "solidify": if (mod.type == 'SOLIDIFY'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "subsurf": if (mod.type == 'SUBSURF'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "surface": if (mod.type == 'SURFACE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "uv_project": if (mod.type == 'UV_PROJECT'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "warp": if (mod.type == 'WARP'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "wave": if (mod.type == 'WAVE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "remesh": if (mod.type == 'REMESH'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "vertex_weight_edit": if (mod.type == 'VERTEX_WEIGHT_EDIT'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True layer_operator(context) if scene.tp_modly_type == "vertex_weight_mix": if (mod.type == 'VERTEX_WEIGHT_MIX'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "vertex_weight_proximity": if (mod.type == 'VERTEX_WEIGHT_PROXIMITY'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "skin": if (mod.type == 'SKIN'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "triangulate": if (mod.type == 'TRIANGULATE'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "uv_warp": if (mod.type == 'UV_WARP'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass if scene.tp_modly_type == "wireframe": if (mod.type == 'WIREFRAME'): if scene.tp_funcly_type == "render": if mod.show_render == False: obj.modifiers[name].show_render = True if scene.tp_funcly_type == "unhide": if mod.show_viewport == False: obj.modifiers[name].show_viewport = True # OPERATOR # if scene.tp_funcly_type == "apply": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_apply(apply_as='DATA', modifier = name) else: pass if scene.tp_funcly_type == "remove": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_remove(modifier = name) else: pass if scene.tp_funcly_type == "up": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_up(modifier = name) else: pass if scene.tp_funcly_type == "down": if obj.use_display_layer and obj.display_layer == active_layer_index: obj.select = True bpy.context.scene.objects.active = obj bpy.ops.object.modifier_move_down(modifier = name) else: pass def move_layer(context, layers_collection, index, direction): tmp_name = layers_collection[index].name tmp_display = layers_collection[index].display tmp_select = layers_collection[index].select tmp_render = layers_collection[index].render tmp_wire = layers_collection[index].wire tmp_mody = layers_collection[index].mody layers_collection[index].name = layers_collection[index + direction].name layers_collection[index].display = layers_collection[index + direction].display layers_collection[index].select = layers_collection[index + direction].select layers_collection[index].render = layers_collection[index + direction].render layers_collection[index].wire = layers_collection[index + direction].wire layers_collection[index].mody = layers_collection[index + direction].mody layers_collection[index + direction].name = tmp_name layers_collection[index + direction].display = tmp_display layers_collection[index + direction].select = tmp_select layers_collection[index + direction].render = tmp_render layers_collection[index + direction].wire = tmp_wire layers_collection[index + direction].mody = tmp_mody context.scene.display_layers_collection_index = index + direction for obj in context.scene.objects: if obj.display_layer == index: obj.display_layer = index + direction elif obj.display_layer == index + direction: obj.display_layer = index # UI LIST # class layers_collection_UL(bpy.types.UIList): def draw_item(self, context, layout, data, item, icon, active_data, active_propname, index): layer = item layout.prop(layer, "name", text="", icon_value=icon, emboss=False) icon_render = 'RESTRICT_VIEW_OFF' if layer.display else 'RESTRICT_VIEW_ON' layout.prop(item, "display", text="", icon=icon_render, emboss=False) icon_render = 'RESTRICT_RENDER_OFF' if layer.render else 'RESTRICT_RENDER_ON' layout.prop(item, "render", text="", icon=icon_render, emboss=False) icon_render = 'MESH_UVSPHERE' if layer.wire else 'WIRE' layout.prop(item, "wire", text="", icon=icon_render, emboss=False) icon_select = 'UNLOCKED' if layer.select else 'LOCKED' layout.prop(item, "select", text="", icon=icon_select, emboss=False) icon_mody = 'MODIFIER' if layer.mody else 'MODIFIER' layout.prop(item, "mody", text="", icon=icon_mody, emboss=False) # OPERATOR: ADD LAYER# class layers_add(bpy.types.Operator): bl_idname = "add_layer_from_collection.btn" bl_label = "Add" bl_description = "Add layer" def execute(self, context): my_item = context.scene.display_layers_collection.add() my_item.name = "Layer" + str(len(context.scene.display_layers_collection)) context.scene.display_layers_collection_index = len(context.scene.display_layers_collection) - 1 return{'FINISHED'} # OPERATOR: REMOVE LAYER # class layers_remove(bpy.types.Operator): bl_idname = "remove_layer_from_collection.btn" bl_label = "Remove" bl_description = "Remove layer" def execute(self, context): index = context.scene.display_layers_collection_index context.scene.display_layers_collection.remove(index) # change all index of object higher than removed index for obj in context.scene.objects: if obj.display_layer > index: obj.display_layer = obj.display_layer - 1 elif obj.display_layer == index: obj.use_display_layer = False return{'FINISHED'} # OPERATOR: UP # class layers_up(bpy.types.Operator): bl_idname = "up_layer_from_collection.btn" bl_label = "Up" bl_description = "Up layer" @classmethod def poll(cls, context): return context.scene.display_layers_collection_index > 0 and context.scene.display_layers_collection.items() def execute(self, context): layers_collection = context.scene.display_layers_collection index = context.scene.display_layers_collection_index direction = -1 move_layer(context, layers_collection, index, direction) return{'FINISHED'} # OPERATOR: DOWN # class layers_down(bpy.types.Operator): bl_idname = "down_layer_from_collection.btn" bl_label = "Down" bl_description = "Down layer" @classmethod def poll(cls, context): return len(bpy.context.scene.display_layers_collection) > context.scene.display_layers_collection_index + 1 def execute(self, context): layers_collection = context.scene.display_layers_collection index = context.scene.display_layers_collection_index direction = 1 move_layer(context, layers_collection, index, direction) return{'FINISHED'} # OPERATOR: ASSIGN TO LAYER # class layers_assignSelectedObjects(bpy.types.Operator): bl_idname = "assign_layer.btn" bl_label = "Assign" bl_description = "Assign layer to selected objects" @classmethod def poll(cls, context): return context.object and context.scene.display_layers_collection.items() def execute(self, context): selected_objects = context.selected_objects active_object = context.active_object active_layer_index = context.scene.display_layers_collection_index for obj in selected_objects: obj.display_layer = active_layer_index obj.use_display_layer = True apply_layer_settings(context) return{'FINISHED'} # OPERATOR: REMOVE FROM LAYER # class layers_removeSelectedObjects(bpy.types.Operator): bl_idname = "remove_layer.btn" bl_label = "Remove" bl_description = "Remove selected objects from layer" @classmethod def poll(cls, context): return context.object and context.scene.display_layers_collection.items() def execute(self, context): selected_objects = context.selected_objects active_object = context.active_object active_layer_index = context.scene.display_layers_collection_index for obj in selected_objects: obj.use_display_layer = False apply_layer_settings(context) return{'FINISHED'} # OPERATOR: DELETE ALL LAYERS # class layers_select_objects(bpy.types.Operator): bl_idname = "clear_display_layers_collection.btn" bl_label = "Clear" bl_description = "Clear layers" @classmethod def poll(cls, context): return context.object and context.scene.display_layers_collection.items() def execute(self, context): context.scene.display_layers_collection.clear() return{'FINISHED'} # REGISTER # def register(): bpy.utils.register_module(__name__) # UNREGISTER # def unregister(): bpy.utils.unregister_module(__name__) if __name__ == "__main__": register()
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from django.shortcuts import render from django.http import HttpResponse # Create your views here. def index(request): return HttpResponse('<h1>This is the Root</h1>')
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from .git import GitAsset from .rsync import RsyncAsset from .hg import HgAsset from .url import UrlAsset
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"""pass_secure Revision ID: 4ad6d590a93f Revises: f59a0d1927f8 Create Date: 2021-04-29 14:06:19.867578 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '4ad6d590a93f' down_revision = 'f59a0d1927f8' branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.add_column('users', sa.Column('pass_secure', sa.String(length=255), nullable=True)) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.drop_column('users', 'pass_secure') # ### end Alembic commands ###
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/samples/RiskManagement/DecisionManager/dm-with-decisionprofilereject-response.py
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from CyberSource import * import os import json from importlib.machinery import SourceFileLoader config_file = os.path.join(os.getcwd(), "data", "Configuration.py") configuration = SourceFileLoader("module.name", config_file).load_module() # To delete None values in Input Request Json body def del_none(d): for key, value in list(d.items()): if value is None: del d[key] elif isinstance(value, dict): del_none(value) return d def dm_with_decisionprofilereject_response(): clientReferenceInformationCode = "54323007" clientReferenceInformation = Riskv1decisionsClientReferenceInformation( code = clientReferenceInformationCode ) paymentInformationCardNumber = "4444444444444448" paymentInformationCardExpirationMonth = "12" paymentInformationCardExpirationYear = "2020" paymentInformationCard = Riskv1decisionsPaymentInformationCard( number = paymentInformationCardNumber, expiration_month = paymentInformationCardExpirationMonth, expiration_year = paymentInformationCardExpirationYear ) paymentInformation = Riskv1decisionsPaymentInformation( card = paymentInformationCard.__dict__ ) orderInformationAmountDetailsCurrency = "USD" orderInformationAmountDetailsTotalAmount = "144.14" orderInformationAmountDetails = Riskv1decisionsOrderInformationAmountDetails( currency = orderInformationAmountDetailsCurrency, total_amount = orderInformationAmountDetailsTotalAmount ) orderInformationBillToAddress1 = "96, powers street" orderInformationBillToAdministrativeArea = "NH" orderInformationBillToCountry = "US" orderInformationBillToLocality = "Clearwater milford" orderInformationBillToFirstName = "James" orderInformationBillToLastName = "Smith" orderInformationBillToPhoneNumber = "7606160717" orderInformationBillToEmail = "[email protected]" orderInformationBillToPostalCode = "03055" orderInformationBillTo = Riskv1decisionsOrderInformationBillTo( address1 = orderInformationBillToAddress1, administrative_area = orderInformationBillToAdministrativeArea, country = orderInformationBillToCountry, locality = orderInformationBillToLocality, first_name = orderInformationBillToFirstName, last_name = orderInformationBillToLastName, phone_number = orderInformationBillToPhoneNumber, email = orderInformationBillToEmail, postal_code = orderInformationBillToPostalCode ) orderInformation = Riskv1decisionsOrderInformation( amount_details = orderInformationAmountDetails.__dict__, bill_to = orderInformationBillTo.__dict__ ) riskInformationProfileName = "profile2" riskInformationProfile = Ptsv2paymentsRiskInformationProfile( name = riskInformationProfileName ) riskInformation = Riskv1decisionsRiskInformation( profile = riskInformationProfile.__dict__ ) requestObj = CreateBundledDecisionManagerCaseRequest( client_reference_information = clientReferenceInformation.__dict__, payment_information = paymentInformation.__dict__, order_information = orderInformation.__dict__, risk_information = riskInformation.__dict__ ) requestObj = del_none(requestObj.__dict__) requestObj = json.dumps(requestObj) try: config_obj = configuration.Configuration() client_config = config_obj.get_configuration() api_instance = DecisionManagerApi(client_config) return_data, status, body = api_instance.create_bundled_decision_manager_case(requestObj) print("\nAPI RESPONSE CODE : ", status) print("\nAPI RESPONSE BODY : ", body) return return_data except Exception as e: print("\nException when calling DecisionManagerApi->create_bundled_decision_manager_case: %s\n" % e) if __name__ == "__main__": dm_with_decisionprofilereject_response()
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/registration_redux/signals.py
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from django.conf import settings from django.contrib.auth import get_backends from django.contrib.auth import login from django.dispatch import Signal # An admin has approved a user's account user_approved = Signal(providing_args=["user", "request"]) # A new user has registered. user_registered = Signal(providing_args=["user", "request"]) # A user has activated his or her account. user_activated = Signal(providing_args=["user", "request"]) def login_user(sender, user, request, **kwargs): """ Automatically authenticate the user when activated """ backend = get_backends()[0] # Hack to bypass `authenticate()`. user.backend = "%s.%s" % (backend.__module__, backend.__class__.__name__) login(request, user) request.session['REGISTRATION_AUTO_LOGIN'] = True request.session.modified = True if getattr(settings, 'REGISTRATION_AUTO_LOGIN', False): user_activated.connect(login_user)
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from direct.directnotify import DirectNotifyGlobal from direct.showbase.PythonUtil import invertDictLossless from toontown.coghq import StageRoomSpecs from toontown.toonbase import ToontownGlobals from direct.showbase.PythonUtil import normalDistrib, lerp import random def printAllCashbotInfo(): print 'roomId: roomName' for roomId, roomName in StageRoomSpecs.CashbotStageRoomId2RoomName.items(): print '%s: %s' % (roomId, roomName) print '\nroomId: numBattles' for roomId, numBattles in StageRoomSpecs.roomId2numBattles.items(): print '%s: %s' % (roomId, numBattles) print '\nstageId floor roomIds' printStageRoomIds() print '\nstageId floor numRooms' printNumRooms() print '\nstageId floor numForcedBattles' printNumBattles() def iterateLawbotStages(func): from toontown.toonbase import ToontownGlobals for layoutId in xrange(len(stageLayouts)): for floorNum in xrange(getNumFloors(layoutId)): func(StageLayout(0, floorNum, layoutId)) def printStageInfo(): def func(sl): print sl iterateLawbotStages(func) def printRoomUsage(): usage = {} def func(sl): for roomId in sl.getRoomIds(): usage.setdefault(roomId, 0) usage[roomId] += 1 iterateLawbotStages(func) roomIds = usage.keys() roomIds.sort() for roomId in roomIds: print '%s: %s' % (roomId, usage[roomId]) def printRoomInfo(): roomIds = StageRoomSpecs.roomId2numCogs.keys() roomIds.sort() for roomId in roomIds: print 'room %s: %s cogs, %s cogLevels, %s merit cogLevels' % (roomId, StageRoomSpecs.roomId2numCogs[roomId], StageRoomSpecs.roomId2numCogLevels[roomId], StageRoomSpecs.roomId2numMeritCogLevels[roomId]) def printStageRoomIds(): def func(ml): print ml.getStageId(), ml.getFloorNum(), ml.getRoomIds() iterateCashbotStages(func) def printStageRoomNames(): def func(ml): print ml.getStageId(), ml.getFloorNum(), ml.getRoomNames() iterateCashbotStages(func) def printNumRooms(): def func(ml): print ml.getStageId(), ml.getFloorNum(), ml.getNumRooms() iterateCashbotStages(func) def printNumBattles(): def func(ml): print ml.getStageId(), ml.getFloorNum(), ml.getNumBattles() iterateCashbotStages(func) DefaultLayout1 = ({0: (0, 1, 2, 3, 1, 2, 4), 1: (0, 1, 2, 3, 1, 2, 4), 2: (0, 1, 2, 3, 1, 2, 4), 3: (0, 1, 2, 3, 1, 2, 4), 4: (0, 1, 2, 3, 1, 2, 4), 5: (0, 1, 2, 3, 1, 2, 4), 6: (0, 1, 2, 3, 1, 2, 4), 7: (0, 1, 2, 3, 1, 2, 4), 8: (0, 1, 2, 3, 1, 2, 4), 9: (0, 1, 2, 3, 1, 2, 4), 10: (0, 1, 2, 3, 1, 2, 4), 11: (0, 1, 2, 3, 1, 2, 4), 12: (0, 1, 2, 3, 1, 2, 4), 13: (0, 1, 2, 3, 1, 2, 4), 14: (0, 1, 2, 3, 1, 2, 4), 15: (0, 1, 2, 3, 1, 2, 4), 16: (0, 1, 2, 3, 1, 2, 4), 17: (0, 1, 2, 3, 1, 2, 4), 18: (0, 1, 2, 3, 1, 2, 4), 19: (0, 1, 2, 3, 1, 2, 4)},) DefaultLayout = [(0, 5, 2, 3, 5, 2, 1), (0, 5, 2, 3, 5, 2, 1), (0, 5, 2, 3, 5, 2, 1), (0, 5, 2, 3, 5, 2, 1), (0, 5, 2, 3, 5, 2, 1), (0, 5, 2, 3, 5, 2, 1), (0, 5, 2, 3, 5, 2, 1), (0, 5, 2, 3, 5, 2, 1), (0, 5, 2, 3, 5, 2, 1), (0, 5, 2, 3, 5, 2, 1), (0, 5, 2, 3, 5, 2, 1)] testLayout = [(0, 3, 8, 105, 1), (0, 7, 8, 105, 2)] LawOfficeLayout2_0 = [(0, 7, 8, 105, 1), (0, 10, 104, 103, 1), (0, 105, 101, 12, 2)] LawOfficeLayout2_1 = [(0, 10, 11, 104, 1), (0, 100, 105, 8, 1), (0, 103, 3, 104, 2)] LawOfficeLayout2_2 = [(0, 8, 105, 102, 1), (0, 100, 104, 10, 1), (0, 101, 105, 3, 2)] LawOfficeLayout3_0 = [(0, 8, 101, 104, 1), (0, 7, 105, 103, 1), (0, 100, 8, 104, 1), (0, 105, 10, 12, 2)] LawOfficeLayout3_1 = [(0, 100, 8, 105, 1), (0, 103, 10, 104, 1), (0, 8, 7, 105, 1), (0, 104, 12, 101, 2)] LawOfficeLayout3_2 = [(0, 103, 104, 100, 1), (0, 102, 8, 105, 1), (0, 10, 104, 3, 1), (0, 105, 10, 11, 2)] LawOfficeLayout4_0 = [(0, 3, 7, 105, 1), (0, 103, 104, 8, 1), (0, 102, 105, 11, 1), (0, 8, 104, 100, 1), (0, 10, 105, 12, 2)] LawOfficeLayout4_1 = [(0, 7, 105, 102, 1), (0, 103, 12, 104, 1), (0, 101, 104, 8, 1), (0, 10, 3, 105, 1), (0, 8, 104, 102, 2)] LawOfficeLayout4_2 = [(0, 11, 105, 102, 1), (0, 3, 104, 8, 1), (0, 100, 10, 104, 1), (0, 8, 12, 105, 1), (0, 104, 102, 11, 2)] LawOfficeLayout5_0 = [(0, 104, 10, 7, 1), (0, 105, 103, 3, 1), (0, 104, 11, 12, 1), (0, 101, 8, 105, 1), (0, 10, 104, 12, 1), (0, 105, 100, 7, 2)] LawOfficeLayout5_1 = [(0, 11, 8, 104, 1), (0, 102, 10, 105, 1), (0, 104, 7, 101, 1), (0, 105, 10, 12, 1), (0, 8, 11, 105, 1), (0, 104, 12, 3, 2)] LawOfficeLayout5_2 = [(0, 105, 103, 8, 1), (0, 10, 3, 104, 1), (0, 105, 103, 101, 1), (0, 12, 8, 104, 1), (0, 7, 11, 104, 1), (0, 105, 12, 10, 2)] stageLayouts = [LawOfficeLayout2_0, LawOfficeLayout2_1, LawOfficeLayout2_2, LawOfficeLayout3_0, LawOfficeLayout3_1, LawOfficeLayout3_2, LawOfficeLayout4_0, LawOfficeLayout4_1, LawOfficeLayout4_2, LawOfficeLayout5_0, LawOfficeLayout5_1, LawOfficeLayout5_2] stageLayouts1 = [testLayout, testLayout, testLayout, testLayout, testLayout, testLayout, testLayout, testLayout, testLayout, testLayout, testLayout, testLayout] def getNumFloors(layoutIndex): return len(stageLayouts[layoutIndex]) class StageLayout: notify = DirectNotifyGlobal.directNotify.newCategory('StageLayout') def __init__(self, stageId, floorNum, stageLayout = 0): self.stageId = stageId self.floorNum = floorNum self.roomIds = [] self.hallways = [] self.layoutId = stageLayout self.roomIds = stageLayouts[stageLayout][floorNum] self.numRooms = 1 + len(self.roomIds) self.numHallways = self.numRooms - 1 hallwayRng = self.getRng() connectorRoomNames = StageRoomSpecs.CashbotStageConnectorRooms for i in xrange(self.numHallways): self.hallways.append(hallwayRng.choice(connectorRoomNames)) def getNumRooms(self): return len(self.roomIds) def getRoomId(self, n): return self.roomIds[n] def getRoomIds(self): return self.roomIds[:] def getRoomNames(self): names = [] for roomId in self.roomIds: names.append(StageRoomSpecs.CashbotStageRoomId2RoomName[roomId]) return names def getNumHallways(self): return len(self.hallways) def getHallwayModel(self, n): return self.hallways[n] def getNumBattles(self): numBattles = 0 for roomId in self.getRoomIds(): numBattles += StageRoomSpecs.roomId2numBattles[roomId] return numBattles def getNumCogs(self): numCogs = 0 for roomId in self.getRoomIds(): numCogs += StageRoomSpecs.roomId2numCogs[roomId] return numCogs def getNumCogLevels(self): numLevels = 0 for roomId in self.getRoomIds(): numLevels += StageRoomSpecs.roomId2numCogLevels[roomId] return numLevels def getNumMeritCogLevels(self): numLevels = 0 for roomId in self.getRoomIds(): numLevels += StageRoomSpecs.roomId2numMeritCogLevels[roomId] return numLevels def getStageId(self): return self.stageId def getFloorNum(self): return self.floorNum def getRng(self): return random.Random(self.stageId * self.floorNum) def __str__(self): return 'StageLayout: id=%s, layout=%s, floor=%s, meritCogLevels=%s, numRooms=%s, numBattles=%s, numCogs=%s' % (self.stageId, self.layoutId, self.floorNum, self.getNumMeritCogLevels(), self.getNumRooms(), self.getNumBattles(), self.getNumCogs()) def __repr__(self): return str(self)
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""" Django validation and HTML form handling. """ from django.core.exceptions import ValidationError # NOQA from django.forms.boundfield import * # NOQA from django.forms.fields import * # NOQA from django.forms.forms import * # NOQA from django.forms.formsets import * # NOQA from django.forms.models import * # NOQA from django.forms.widgets import * # NOQA
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# -*- coding: utf-8 -*- # Copyright (C) 2018-2022 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from .test_utils_api import compare_functions
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# coding: utf-8 """ The Enrichment List The THS enrichment list # noqa: E501 OpenAPI spec version: 1.0.0 Contact: [email protected] Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six def getResponse(): from walklist_api_service.models.response import Response return Response class InlineResponse2014(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'payload': 'CustomContent', 'meta': 'ResponseMeta' } if hasattr(getResponse(), "swagger_types"): swagger_types.update(getResponse().swagger_types) attribute_map = { 'payload': 'payload', 'meta': 'meta' } if hasattr(getResponse(), "attribute_map"): attribute_map.update(getResponse().attribute_map) def __init__(self, payload=None, meta=None, *args, **kwargs): # noqa: E501 """InlineResponse2014 - a model defined in Swagger""" # noqa: E501 self._payload = None self._meta = None self.discriminator = None if payload is not None: self.payload = payload if meta is not None: self.meta = meta Response.__init__(self, *args, **kwargs) @property def payload(self): """Gets the payload of this InlineResponse2014. # noqa: E501 :return: The payload of this InlineResponse2014. # noqa: E501 :rtype: CustomContent """ return self._payload @payload.setter def payload(self, payload): """Sets the payload of this InlineResponse2014. :param payload: The payload of this InlineResponse2014. # noqa: E501 :type: CustomContent """ self._payload = payload @property def meta(self): """Gets the meta of this InlineResponse2014. # noqa: E501 :return: The meta of this InlineResponse2014. # noqa: E501 :rtype: ResponseMeta """ return self._meta @meta.setter def meta(self, meta): """Sets the meta of this InlineResponse2014. :param meta: The meta of this InlineResponse2014. # noqa: E501 :type: ResponseMeta """ self._meta = meta def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(InlineResponse2014, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, InlineResponse2014): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other
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# this file is needed for importing dependencies
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import datetime import contextlib import os import random import re import subprocess import shlex import time import json from selenium.common.exceptions import StaleElementReferenceException from uadt import config, constants from uadt.plugins import PluginBase, PluginMount from uadt.automation.generator import DataGenerator from uadt.automation.driver import ImageRecognitionDriver from uadt.automation.markov import MarkovChain class Scenario(PluginBase, metaclass=PluginMount): app_package = None # Must be provided app_activity = None # Must be provided new_command_timeout = '50000' auto_launch = True no_reset = True automation_name = "uiautomator2" # Override to specify that multiple devices are required for this scenario devices = 1 def __init__(self, appium_ports, phones): """ Initialize the plugin. Create Appium driver instance with required capabilities. """ # Verify class attribute requirements if self.app_package is None: raise ValueError("Package name must be provided.") if self.app_activity is None: raise ValueError("Startup activity name must be provided.") # Storage for events self.marks = [] # Acts like a stack self.metadata = [] # Store for generic metadata, like phone model or its IP self.generic_metadata = {} # Remember the phone information self.phones = phones # Store phone related metadata for eternity for index, phone in enumerate(self.phones): self.add_generic_metadata( 'phone_{0}_name'.format(index), phone['identifier'] ) self.add_generic_metadata( 'phone_{0}_android_ver'.format(index), phone['platformVersion'] ) self.add_generic_metadata( 'phone_{0}_model'.format(index), phone['model'] ) self.add_generic_metadata( 'phone_{0}_ip'.format(index), phone['ip'] ) # Determine the file name template self.file_identifier = '{plugin}_{timestamp}_{phone}'.format(**{ 'plugin': self.identifier, 'phone': self.phones[0]['identifier'], 'timestamp': datetime.datetime.utcnow().strftime("%Y%m%d_%H%M%S") }) # Fake data generator self.generator = DataGenerator() # Create appium instance(s) generic_capabilities = { 'appPackage': self.app_package, 'appActivity': self.app_activity, 'newCommandTimeout': self.new_command_timeout, 'autoLaunch' : self.auto_launch, 'noReset': self.no_reset, 'automationName': self.automation_name } for index, phone in enumerate(self.phones): capabilities = generic_capabilities.copy() capabilities.update(phone) self.debug("Initializing appium interface (phone {})".format(index)) driver = ImageRecognitionDriver( 'http://localhost:{0}/wd/hub'.format(appium_ports[index]), capabilities ) # Configure generous implicit wait time (if manual action is needed) driver.implicitly_wait(60) # Set the driver attribute for this phone # Name convention: 1st phone - self.driver # 2nd phone - self.driver2 # ith phone - self.driveri setattr( self, 'driver' if index == 0 else 'driver{}'.format(index+1), driver ) def _build_markov_chain(self): """ Inspects all the steps and builds the first order markov chain representing the interaction with the application. """ # Find all step methods and extract information out of them step_methods_names = [ method_name for method_name in dir(self) if method_name.startswith('step_') ] step_info = [ self._parse_step_docstring(step) for step in step_methods_names ] # Determine the initial and final state from the class docstring initial, final = self._parse_class_docstring() self.chain = MarkovChain(step_info, initial=initial, final=final) def _parse_step_docstring(self, step_name): """ Parses the docstring of the step method, obtaining all the contained metadata (start and end nodes, weight, etc.) """ method = getattr(self, step_name) docstring = method.__doc__ STEP_METADATA_REGEX = re.compile( 'Start:\s+(?P<start_node>\w+)\s+' 'End:\s+(?P<end_node>\w+)\s+' '(Weight:\s+(?P<weight>[\d\.]+)\s+)?' ) match = STEP_METADATA_REGEX.search(docstring) if not match: raise ValueError("The step method '{0}' does not" "have properly built" "docstring".format(step_name)) return { 'name': '_'.join(step_name.split('_')[1:]), 'start_node': match.group('start_node'), 'end_node': match.group('end_node'), 'weight': float(match.group('weight')) if match.group('weight') is not None else 1.0, } def _parse_class_docstring(self): """ Parses the docstring of the scenario class to determine the initial and final state. """ docstring = self.__doc__ CLASS_METADATA_REGEX = re.compile( '\s+Initial:\s+(?P<initial>\w+)\s+' '\s+Final:\s+(?P<final>\w+)\s+' ) match = CLASS_METADATA_REGEX.search(docstring) if not match: raise ValueError("The class docstring is not built properly.") return match.group('initial'), match.group('final') def steps_by_random_walk(self, length): """ Runs the step methods as determined by the random walk over the corresponding markov chain. """ self.debug("Initializing random walk of length '{0}'" .format(length)) for node_name in self.chain.random_walk(length=length): self.debug("Performing step: '{0}'".format(node_name)) method = getattr(self, 'step_' + node_name) method() @contextlib.contextmanager def capture(self, timeout=5): """ Captures network traffic that passes the network inteface while the yielded block of code is executed + while the timeout expires. Arguments: timeout: the number of seconds we should wait (and capture) after the action has been performed """ # Build the capture query # We want to capture all the incoming and outgoing traffic for each # mobile device involved query_parts = [] for phone in self.phones: query_parts.append('host {0}'.format(phone['ip'])) query = ' or '.join(query_parts) # Start the capture filename = os.path.join("data", self.file_identifier + '.pcap') args = shlex.split("tshark -l -n -T pdml -i {0} -w {1} '{2}'" .format(config.CAPTURE_INTERFACE, filename, query)) self.info("Capturing script '{0}' to file '{1}'".format( self.identifier, filename )) with open(os.devnull, 'w') as f: p = subprocess.Popen(args, stdout=f, stderr=f) try: yield except Exception: # In case any problem occurred during the execution of the # scenario, remove associated pcap file self.error('An exception occurred during the execution of ' 'the scenario, removing session PCAP file: {}' .format(filename)) p.terminate() with contextlib.suppress(FileNotFoundError): os.remove(filename) raise # Sleep so that network communication associated with the last # action has time to happen time.sleep(timeout) p.terminate() def execute(self): """ Used to wrap scenario run, performing necessary pre and post actions. """ # Build the markov chain. This ends up in no-op if no step methods # heve been defined. self._build_markov_chain() # Mark the start point and run the script with self.capture(): self.run() # Capture is over, process the marks now filename = os.path.join("data", self.file_identifier + '.marks') # Build metadata structure metadata = { 'generic': self.generic_metadata, 'events': self.marks } with open(filename, 'w') as mark_file: mark_file.write(json.dumps(metadata)) def add_metadata(self, key, value): """ Adds metadata element into the mark dictionary. """ self.debug("Adding metadata {0}='{1}'".format(key, value)) self.metadata[-1][key] = value def add_generic_metadata(self, key, value): """ Adds generic metadata element. """ self.debug("Adding generic metadata {0}='{1}'".format(key, value)) self.generic_metadata[key] = value @contextlib.contextmanager def mark(self, name, timeout=None): """ Marks the event in the marks file. Captures: - start and end of the interval - name of the event marked - timeout used - any metadata explicitly stored """ self.debug("Processing event: {0}".format(name)) # Generate the timeout time timeout = timeout or (random.randint(2,6) + random.random()) # Prepare metadata store self.metadata.append({}) # Perform the marked event, capture start/end timestamps start = datetime.datetime.utcnow() yield self.debug("Phase out with timeout of {0:.2f} seconds".format(timeout)) time.sleep(timeout) end = datetime.datetime.utcnow() # Generate mark data mark_data = { 'name': name, 'start': start.strftime(constants.MARKS_TIMESTAMP), 'end': end.strftime(constants.MARKS_TIMESTAMP), 'timeout': timeout, } mark_data.update(self.metadata.pop()) # Save the generated mark data self.marks.append(mark_data) def find(self, identifier, method=None): """ Finds the element. """ # Perform method detection if needed # String starting with / is a XPATH, everything else is an identifier if method is None: if identifier.startswith('/'): method = 'xpath' else: method = 'identifier' # Attempt to find the element using given method if method == 'identifier': return self.driver.find_element_by_id(identifier) elif method == 'xpath': return self.driver.find_element_by_xpath(identifier) else: raise Exception("Unsupported method") def click(self, identifier_or_object, retries=5): """ Clicks on the selected element. Transparetnly handles associated problems, like StaleObjectException. """ if retries < 0: raise Exception("Could not click the element {0}".format(identifier_or_object)) if isinstance(identifier_or_object, str): element = self.find(identifier_or_object) else: element = identifier_or_object try: element.click() except (StaleElementReferenceException, Exception) as e: print(type(e)) self.click(identifier_or_object, retries=retries-1)
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def test(list): for i in range(0, len(list)-1): if(valueList[i] > valueList[i+1]): return False return True def list2text(list): result = ""; for i in list: if(result != "" or i!=0): result += str(i) if(result == ""): result = "0"; return result t = int(input()) for line in range(1, t + 1): value = input(); valueList = list(value); for i in range(0, len(valueList)): valueList[i] = int(valueList[i]) valueInteger = int(value); result = valueInteger #print( valueList) #phase 1 go from first index to back and stop when fails while(not test(valueList)): for i in range(0, len(valueList)-1): if valueList[i] > valueList[i+1]: valueList[i] -= 1 for j in range(i+1, len(valueList)): valueList[j] = 9 break #print(valueList); print("Case #{}: {}".format(line, list2text(valueList)));
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#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'intern_project.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv) if __name__ == '__main__': main()
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GabrielMartinMoran/balizaIntegracionContinua
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#----------------------------- IMPORTAMOS EL DIRECTORIO src --------------------------- import os import sys #IMPORTAMOS DEL PADRE sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../src'))) #-------------------------------------------------------------------------------------- import unittest import requests from ServidorHTTPConfiguracion import ServidorHTTPConfiguracion from ConfiguracionCI import ConfiguracionCI from ConfiguracionRed import ConfiguracionRed HOST = "localhost" PUERTO_1 = 8081 PUERTO_2 = 8082 class TestServidorHTTPConfiguracion(unittest.TestCase): def test_establecemos_una_configuracion_para_travis_y_corroboramos(self): configuracion_ci = ConfiguracionCI() servidor = ServidorHTTPConfiguracion(HOST, PUERTO_1, configuracion_ci, None) response = requests.get("http://"+HOST+":"+str(PUERTO_1)+"/set_configuracion_ci?usuario=USUARIO&repositorio=REPOSITORIO&token=TOKEN&APIurl=http://test.url&servidorCI=Travis") self.assertEqual("USUARIO", configuracion_ci.get_usuario()) self.assertEqual("REPOSITORIO", configuracion_ci.get_repositorio()) self.assertEqual("TOKEN", configuracion_ci.get_token()) servidor.detener() def test_establecemos_una_configuracion_de_red_y_corroboramos(self): configuracion_red = ConfiguracionRed() servidor = ServidorHTTPConfiguracion(HOST, PUERTO_2, None, configuracion_red) response = requests.get("http://"+HOST+":"+str(PUERTO_2)+"/set_configuracion_red?SSID=SSID&clave=CLAVE") self.assertEqual("SSID", configuracion_red.get_SSID()) self.assertEqual("CLAVE", configuracion_red.get_clave()) servidor.detener() def main(): unittest.main() if __name__ == '__main__': main()
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# # This file is part of pyasn1 software. # # Copyright (c) 2005-2017, Ilya Etingof <[email protected]> # License: http://pyasn1.sf.net/license.html # import sys from pyasn1.type import constraint, tagmap, tag from pyasn1 import error __all__ = ['Asn1Item', 'Asn1ItemBase', 'AbstractSimpleAsn1Item', 'AbstractConstructedAsn1Item'] class Asn1Item(object): pass class Asn1ItemBase(Asn1Item): #: Default :py:class:`~pyasn1.type.tag.TagSet` object representing #: ASN.1 tag(s) associated with this ASN.1 type. tagSet = tag.TagSet() #: Default :py:class:`~pyasn1.type.constraint.ConstraintsIntersection` #: object imposing constraints on initialization values. subtypeSpec = constraint.ConstraintsIntersection() # Used for ambiguous ASN.1 types identification typeId = None def __init__(self, tagSet=None, subtypeSpec=None): if tagSet is None: self._tagSet = self.tagSet else: self._tagSet = tagSet if subtypeSpec is None: self._subtypeSpec = self.subtypeSpec else: self._subtypeSpec = subtypeSpec def _verifySubtypeSpec(self, value, idx=None): try: self._subtypeSpec(value, idx) except error.PyAsn1Error: c, i, t = sys.exc_info() raise c('%s at %s' % (i, self.__class__.__name__)) def getSubtypeSpec(self): return self._subtypeSpec def getTagSet(self): return self._tagSet def getEffectiveTagSet(self): return self._tagSet # used by untagged types def getTagMap(self): return tagmap.TagMap({self._tagSet: self}) def isSameTypeWith(self, other, matchTags=True, matchConstraints=True): """Examine |ASN.1| type for equality with other ASN.1 type. ASN.1 tags (:py:mod:`~pyasn1.type.tag`) and constraints (:py:mod:`~pyasn1.type.constraint`) are examined when carrying out ASN.1 types comparison. No Python inheritance relationship between PyASN1 objects is considered. Parameters ---------- other: a pyasn1 type object Class instance representing ASN.1 type. Returns ------- : :class:`bool` :class:`True` if *other* is |ASN.1| type, :class:`False` otherwise. """ return self is other or \ (not matchTags or self._tagSet == other.getTagSet()) and \ (not matchConstraints or self._subtypeSpec == other.getSubtypeSpec()) def isSuperTypeOf(self, other, matchTags=True, matchConstraints=True): """Examine |ASN.1| type for subtype relationship with other ASN.1 type. ASN.1 tags (:py:mod:`~pyasn1.type.tag`) and constraints (:py:mod:`~pyasn1.type.constraint`) are examined when carrying out ASN.1 types comparison. No Python inheritance relationship between PyASN1 objects is considered. Parameters ---------- other: a pyasn1 type object Class instance representing ASN.1 type. Returns ------- : :class:`bool` :class:`True` if *other* is a subtype of |ASN.1| type, :class:`False` otherwise. """ return (not matchTags or self._tagSet.isSuperTagSetOf(other.getTagSet())) and \ (not matchConstraints or (self._subtypeSpec.isSuperTypeOf(other.getSubtypeSpec()))) @staticmethod def isNoValue(*values): for value in values: if value is not None and value is not noValue: return False return True class NoValue(object): """Create a singleton instance of NoValue class. NoValue object can be used as an initializer on PyASN1 type class instantiation to represent ASN.1 type rather than ASN.1 data value. No operations other than type comparison can be performed on a PyASN1 type object. """ skipMethods = ('__getattribute__', '__getattr__', '__setattr__', '__delattr__', '__class__', '__init__', '__del__', '__new__', '__repr__', '__qualname__', '__objclass__', 'im_class', '__sizeof__') _instance = None def __new__(cls): if cls._instance is None: def getPlug(name): def plug(self, *args, **kw): raise error.PyAsn1Error('Uninitialized ASN.1 value ("%s" attribute looked up)' % name) return plug op_names = [name for typ in (str, int, list, dict) for name in dir(typ) if name not in cls.skipMethods and name.startswith('__') and name.endswith('__') and callable(getattr(typ, name))] for name in set(op_names): setattr(cls, name, getPlug(name)) cls._instance = object.__new__(cls) return cls._instance def __getattr__(self, attr): if attr in self.skipMethods: raise AttributeError('attribute %s not present' % attr) raise error.PyAsn1Error('No value for "%s"' % attr) def __repr__(self): return '%s()' % self.__class__.__name__ noValue = NoValue() # Base class for "simple" ASN.1 objects. These are immutable. class AbstractSimpleAsn1Item(Asn1ItemBase): #: Default payload value defaultValue = noValue def __init__(self, value=noValue, tagSet=None, subtypeSpec=None): Asn1ItemBase.__init__(self, tagSet, subtypeSpec) if self.isNoValue(value): value = self.defaultValue if self.isNoValue(value): self.__hashedValue = value = noValue else: value = self.prettyIn(value) self._verifySubtypeSpec(value) self.__hashedValue = hash(value) self._value = value self._len = None def __repr__(self): r = [] if self._value is not self.defaultValue: r.append(self.prettyOut(self._value)) if self._tagSet is not self.tagSet: r.append('tagSet=%r' % (self._tagSet,)) if self._subtypeSpec is not self.subtypeSpec: r.append('subtypeSpec=%r' % (self._subtypeSpec,)) return '%s(%s)' % (self.__class__.__name__, ', '.join(r)) def __str__(self): return str(self._value) def __eq__(self, other): return self is other and True or self._value == other def __ne__(self, other): return self._value != other def __lt__(self, other): return self._value < other def __le__(self, other): return self._value <= other def __gt__(self, other): return self._value > other def __ge__(self, other): return self._value >= other if sys.version_info[0] <= 2: def __nonzero__(self): return bool(self._value) else: def __bool__(self): return bool(self._value) def __hash__(self): return self.__hashedValue is noValue and hash(noValue) or self.__hashedValue def hasValue(self): """Indicate if |ASN.1| object represents ASN.1 value or ASN.1 type. The PyASN1 type objects can only participate in types comparison and serve as a blueprint for serialization codecs to resolve ambiguous types. The PyASN1 value objects can additionally participate to most of built-in Python operations. Returns ------- : :class:`bool` :class:`True` if object is ASN.1 value, :class:`False` otherwise. """ return self._value is not noValue def clone(self, value=noValue, tagSet=None, subtypeSpec=None): """Create a copy of a |ASN.1| type or object. Any parameters to the *clone()* method will replace corresponding properties of the |ASN.1| object. Parameters ---------- value: :class:`tuple`, :class:`str` or |ASN.1| object Initialization value to pass to new ASN.1 object instead of inheriting one from the caller. tagSet: :py:class:`~pyasn1.type.tag.TagSet` Object representing ASN.1 tag(s) to use in new object instead of inheriting from the caller subtypeSpec: :py:class:`~pyasn1.type.constraint.ConstraintsIntersection` Object representing ASN.1 subtype constraint(s) to use in new object instead of inheriting from the caller Returns ------- : new instance of |ASN.1| type/value """ if self.isNoValue(value): if self.isNoValue(tagSet, subtypeSpec): return self value = self._value if tagSet is None: tagSet = self._tagSet if subtypeSpec is None: subtypeSpec = self._subtypeSpec return self.__class__(value, tagSet, subtypeSpec) def subtype(self, value=noValue, implicitTag=None, explicitTag=None, subtypeSpec=None): """Create a copy of a |ASN.1| type or object. Any parameters to the *subtype()* method will be added to the corresponding properties of the |ASN.1| object. Parameters ---------- value: :class:`tuple`, :class:`str` or |ASN.1| object Initialization value to pass to new ASN.1 object instead of inheriting one from the caller. implicitTag: :py:class:`~pyasn1.type.tag.Tag` Implicitly apply given ASN.1 tag object to caller's :py:class:`~pyasn1.type.tag.TagSet`, then use the result as new object's ASN.1 tag(s). explicitTag: :py:class:`~pyasn1.type.tag.Tag` Explicitly apply given ASN.1 tag object to caller's :py:class:`~pyasn1.type.tag.TagSet`, then use the result as new object's ASN.1 tag(s). subtypeSpec: :py:class:`~pyasn1.type.constraint.ConstraintsIntersection` Add ASN.1 constraints object to one of the caller, then use the result as new object's ASN.1 constraints. Returns ------- : new instance of |ASN.1| type/value """ if self.isNoValue(value): value = self._value if implicitTag is not None: tagSet = self._tagSet.tagImplicitly(implicitTag) elif explicitTag is not None: tagSet = self._tagSet.tagExplicitly(explicitTag) else: tagSet = self._tagSet if subtypeSpec is None: subtypeSpec = self._subtypeSpec else: subtypeSpec = self._subtypeSpec + subtypeSpec return self.__class__(value, tagSet, subtypeSpec) def prettyIn(self, value): return value def prettyOut(self, value): return str(value) def prettyPrint(self, scope=0): """Provide human-friendly printable object representation. Returns ------- : :class:`str` human-friendly type and/or value representation. """ if self.hasValue(): return self.prettyOut(self._value) else: return '<no value>' # XXX Compatibility stub def prettyPrinter(self, scope=0): return self.prettyPrint(scope) # noinspection PyUnusedLocal def prettyPrintType(self, scope=0): return '%s -> %s' % (self.getTagSet(), self.__class__.__name__) # # Constructed types: # * There are five of them: Sequence, SequenceOf/SetOf, Set and Choice # * ASN1 types and values are represened by Python class instances # * Value initialization is made for defaulted components only # * Primary method of component addressing is by-position. Data model for base # type is Python sequence. Additional type-specific addressing methods # may be implemented for particular types. # * SequenceOf and SetOf types do not implement any additional methods # * Sequence, Set and Choice types also implement by-identifier addressing # * Sequence, Set and Choice types also implement by-asn1-type (tag) addressing # * Sequence and Set types may include optional and defaulted # components # * Constructed types hold a reference to component types used for value # verification and ordering. # * Component type is a scalar type for SequenceOf/SetOf types and a list # of types for Sequence/Set/Choice. # def setupComponent(): """Returns a sentinel value. Indicates to a constructed type to set up its inner component so that it can be referred to. This is useful in situation when you want to populate descendants of a constructed type what requires being able to refer to their parent types along the way. Example ------- >>> constructed['record'] = setupComponent() >>> constructed['record']['scalar'] = 42 """ return noValue class AbstractConstructedAsn1Item(Asn1ItemBase): #: If `True`, requires exact component type matching, #: otherwise subtype relation is only enforced strictConstraints = False def __init__(self, componentType=None, tagSet=None, subtypeSpec=None, sizeSpec=None): Asn1ItemBase.__init__(self, tagSet, subtypeSpec) if componentType is None: self._componentType = self.componentType else: self._componentType = componentType if sizeSpec is None: self._sizeSpec = self.sizeSpec else: self._sizeSpec = sizeSpec self._componentValues = [] self._componentValuesSet = 0 def __repr__(self): r = [] if self._componentType is not self.componentType: r.append('componentType=%r' % (self._componentType,)) if self._tagSet is not self.tagSet: r.append('tagSet=%r' % (self._tagSet,)) if self._subtypeSpec is not self.subtypeSpec: r.append('subtypeSpec=%r' % (self._subtypeSpec,)) r = '%s(%s)' % (self.__class__.__name__, ', '.join(r)) if self._componentValues: r += '.setComponents(%s)' % ', '.join([repr(x) for x in self._componentValues]) return r def __eq__(self, other): return self is other and True or self._componentValues == other def __ne__(self, other): return self._componentValues != other def __lt__(self, other): return self._componentValues < other def __le__(self, other): return self._componentValues <= other def __gt__(self, other): return self._componentValues > other def __ge__(self, other): return self._componentValues >= other if sys.version_info[0] <= 2: def __nonzero__(self): return bool(self._componentValues) else: def __bool__(self): return bool(self._componentValues) def getComponentTagMap(self): raise error.PyAsn1Error('Method not implemented') def _cloneComponentValues(self, myClone, cloneValueFlag): pass def clone(self, tagSet=None, subtypeSpec=None, sizeSpec=None, cloneValueFlag=None): """Create a copy of a |ASN.1| type or object. Any parameters to the *clone()* method will replace corresponding properties of the |ASN.1| object. Parameters ---------- tagSet: :py:class:`~pyasn1.type.tag.TagSet` Object representing non-default ASN.1 tag(s) subtypeSpec: :py:class:`~pyasn1.type.constraint.ConstraintsIntersection` Object representing non-default ASN.1 subtype constraint(s) sizeSpec: :py:class:`~pyasn1.type.constraint.ConstraintsIntersection` Object representing non-default ASN.1 size constraint(s) Returns ------- : new instance of |ASN.1| type/value """ if tagSet is None: tagSet = self._tagSet if subtypeSpec is None: subtypeSpec = self._subtypeSpec if sizeSpec is None: sizeSpec = self._sizeSpec r = self.__class__(self._componentType, tagSet, subtypeSpec, sizeSpec) if cloneValueFlag: self._cloneComponentValues(r, cloneValueFlag) return r def subtype(self, implicitTag=None, explicitTag=None, subtypeSpec=None, sizeSpec=None, cloneValueFlag=None): """Create a copy of a |ASN.1| type or object. Any parameters to the *subtype()* method will be added to the corresponding properties of the |ASN.1| object. Parameters ---------- tagSet: :py:class:`~pyasn1.type.tag.TagSet` Object representing non-default ASN.1 tag(s) subtypeSpec: :py:class:`~pyasn1.type.constraint.ConstraintsIntersection` Object representing non-default ASN.1 subtype constraint(s) sizeSpec: :py:class:`~pyasn1.type.constraint.ConstraintsIntersection` Object representing non-default ASN.1 size constraint(s) Returns ------- : new instance of |ASN.1| type/value """ if implicitTag is not None: tagSet = self._tagSet.tagImplicitly(implicitTag) elif explicitTag is not None: tagSet = self._tagSet.tagExplicitly(explicitTag) else: tagSet = self._tagSet if subtypeSpec is None: subtypeSpec = self._subtypeSpec else: subtypeSpec = self._subtypeSpec + subtypeSpec if sizeSpec is None: sizeSpec = self._sizeSpec else: sizeSpec = sizeSpec + self._sizeSpec r = self.__class__(self._componentType, tagSet, subtypeSpec, sizeSpec) if cloneValueFlag: self._cloneComponentValues(r, cloneValueFlag) return r def _verifyComponent(self, idx, value): pass def verifySizeSpec(self): self._sizeSpec(self) def getComponentByPosition(self, idx): raise error.PyAsn1Error('Method not implemented') def setComponentByPosition(self, idx, value, verifyConstraints=True): raise error.PyAsn1Error('Method not implemented') def setComponents(self, *args, **kwargs): for idx, value in enumerate(args): self[idx] = value for k in kwargs: self[k] = kwargs[k] return self def getComponentType(self): return self._componentType def setDefaultComponents(self): pass def __getitem__(self, idx): return self.getComponentByPosition(idx) def __setitem__(self, idx, value): self.setComponentByPosition(idx, value) def __len__(self): return len(self._componentValues) def clear(self): self._componentValues = [] self._componentValuesSet = 0
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# Generated by Django 3.1.7 on 2021-04-16 13:03 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Profile', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('bird_date', models.DateField(blank=True, null=True, verbose_name='Дата рождения')), ('link', models.URLField(blank=True, null=True, verbose_name='Сылка на GitHub')), ('avatar', models.ImageField(blank=True, null=True, upload_to='user_pics', verbose_name='Аватар')), ('description', models.TextField(blank=True, max_length=2000, null=True, verbose_name='Полное описание')), ('user', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='profile', to=settings.AUTH_USER_MODEL, verbose_name='Ползователь')), ], options={ 'verbose_name': 'Профиль', 'verbose_name_plural': 'Профили', }, ), ]
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from declarativeunittest import * from construct import * from construct.lib import * from gallery import pe32file def test_pe32(): commondump(pe32file, "python37-win32.exe") commondump(pe32file, "python37-win64.exe") commondump(pe32file, "SharpZipLib0860-dotnet20.dll")
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class Master(object): def __init__(self): self.kongfu = '[古法煎饼果子配方]' def make_cake(self): print(f'师傅运用{self.kongfu}制作煎饼果子') # def xx(self): # print('aaaaa') # 黑马学校类 class School(Master): def __init__(self): self.kongfu = '[黑马煎饼果子配方]' def make_cake(self): print(f'学校运用{self.kongfu}制作煎饼果子') # 再用super调用这个类的父类方法 # super(School, self).__init__() # super(School, self).make_cake() super().__init__() super().make_cake() # 如果一个子类继承了多个父类,如果有同名方法或属性,默认继承书写在括号里面第一个父类的同名属性和方法 class Prentice(School): def __init__(self): self.kongfu = '[原创煎饼果子配方]' def make_cake(self): # 做自己的初始化调用: 下面已经执行过其他父类的初始化,这里需要还原成自己 self.__init__() print(f'大秋运用{self.kongfu}制作煎饼果子') def make_super_cake(self): # 调用父类方法 # super(自己类的类名, self).目标函数() -- 化简写法就是去掉所有参数,默认它自己可以填充目标参数 # super(Prentice, self).__init__() # super(Prentice, self).make_cake() super().__init__() super().make_cake() # laowang = Master() # print(laowang.kongfu) # laowang.make_cake() daqiu = Prentice() daqiu.make_super_cake() # 有个顾客想一次性吃所有
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import copy from datetime import datetime from django.contrib.auth.models import User from django.conf import settings from django.db import transaction from rest_framework import status from rest_framework.decorators import api_view from rest_framework.response import Response import stripe from shop.models import Order, OrderStatusTransition, OrderItem, Kudos, KudosAvailable, CatalogItem from api_v1.containers.shop.serializers import CreateNewOrderSerializer, OrderSerializer, ProcessOrderSerializer from users.models import Person @api_view(['POST']) def create_order(request): data = copy.deepcopy(request.data) request_serializer = CreateNewOrderSerializer(data=data) request_serializer.is_valid(raise_exception=True) user = request.user person = Person.objects.get(user=user) try: # Create the initial order items = [] for order_item in data['order_items']: items.append({ "type": 'sku', "parent": order_item['parent'], "quantity": order_item['quantity'] }) stripe.api_key = settings.STRIPE_PRIVATE_KEY stripe_order = stripe.Order.create( currency='usd', items=items, shipping={ "name": '%s %s' % (user.first_name, user.last_name), "address":{ "line1": person.address_line_1, "city": person.city, "state": person.state, "country": 'US', "postal_code": person.zipcode }, }, email= user.email ) # Store the order data in our database order = Order( order_id = stripe_order.id, user = user, amount = stripe_order.amount, email = stripe_order.email, status = stripe_order.status, created = datetime.fromtimestamp(stripe_order.created), updated = datetime.fromtimestamp(stripe_order.updated) ) order.currency = stripe_order.currency order.save() order_status = OrderStatusTransition( order = order, status = stripe_order.status, created = datetime.fromtimestamp(stripe_order.updated) ) order_status.save() for item in stripe_order['items']: order_item = OrderItem( order = order, amount = item['amount'], description = item['description'], parent = item['parent'], quantity = item['quantity'], item_type = item['type'] ) order_item.currency = item.currency, order_item.save() updated_order = Order.objects.get(order_id=order.order_id) response_serializer = OrderSerializer(updated_order) return Response(response_serializer.data, status=status.HTTP_201_CREATED) except Exception as e: return Response(status=status.HTTP_500_INTERNAL_SERVER_ERROR) @api_view(['POST']) def process_order(request): data = copy.deepcopy(request.data) request_serializer = ProcessOrderSerializer(data=data) request_serializer.is_valid(raise_exception=True) try: user = request.user order = Order.objects.get(order_id=data['order_id']) stripe_token = data['stripe_token'] if order.user != user: return Response(status=status.HTTP_403_FORBIDDEN) # Pay the order stripe.api_key = settings.STRIPE_PRIVATE_KEY stripe_order = stripe.Order.pay(order.order_id, source=stripe_token) # Record the results order.status = stripe_order.status order.updated = datetime.fromtimestamp(stripe_order.updated) order.charge = stripe_order.charge order.save() order_status = OrderStatusTransition( order = order, status = stripe_order.status, created = datetime.fromtimestamp(stripe_order.updated) ) order_status.save() # Update Available Kudos kudos_types_ordered = {} # Dictionary keyed by kudos_id and valued by count of that kudos type ordered order_items = OrderItem.objects.filter(order_id=order.order_id) for item in order_items: if item.item_type == 'sku': catalog_item = CatalogItem.objects.get(sku=item.parent) # collect the kudos we need to make available for collection in catalog_item.collection.all(): for kudos_id in collection.kudos_ids: ################################################################################ ## This section should be identical to the handling for the kudos bellow ################################################################################ # if the kudos dictionary entry does not exists, add it with a count of quantity if kudos_id not in kudos_types_ordered: kudos_types_ordered[kudos_id] = item.quantity else: # else, increment the counter kudos_types_ordered[kudos_id] = kudos_types_ordered[kudos_id] + item.quantity ################################################################################ ## End section for kudos in catalog_item.kudos.all(): kudos_id = str(kudos.id) ################################################################################ ## This section should be identical to the handling for the collections above ################################################################################ # if the kudos dictionary entry does not exists, add it with a count of quantity if kudos_id not in kudos_types_ordered: kudos_types_ordered[kudos_id] = item.quantity else: # else, increment the counter kudos_types_ordered[kudos_id] = kudos_types_ordered[kudos_id] + item.quantity ################################################################################ ## End section # Update ordering counts and available kudos for kudos_id in kudos_types_ordered: number_sold_now = kudos_types_ordered[kudos_id] kudos_number_sold = None updated_kudos = None # Updated kudos.number_sold with transaction.atomic(): kudos = Kudos.objects.get(id=kudos_id) kudos.number_sold = kudos.number_sold + number_sold_now kudos.save() updated_kudos = Kudos.objects.get(id=kudos_id) kudos_number_sold = updated_kudos.number_sold # Start populating available kudos edition_number = kudos_number_sold - number_sold_now while edition_number < kudos_number_sold: edition_number = edition_number + 1 kudos_available = KudosAvailable( user = user, kudos = updated_kudos, edition_number = edition_number, order = order ) kudos_available.save() updated_order = Order.objects.get(order_id=order.order_id) response_serializer = OrderSerializer(updated_order) return Response(response_serializer.data, status=status.HTTP_202_ACCEPTED) except Exception as e: return Response(status=status.HTTP_500_INTERNAL_SERVER_ERROR)
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# Generated by Django 3.0.7 on 2021-03-23 15:37 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('initsys', '0003_auto_20190723_1358'), ('app', '0058_auto_20210315_1901'), ] operations = [ migrations.AlterModelOptions( name='tmpreportecontrolrecepcion', options={'ordering': ['-fecha_de_ultimo_contacto']}, ), migrations.AddField( model_name='tmpreportecontrolinscritosmod40', name='autor', field=models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='initsys.Usr'), preserve_default=False, ), migrations.AddField( model_name='tmpreportecontrolinscritosmod40detalle', name='autor', field=models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='initsys.Usr'), preserve_default=False, ), migrations.AddField( model_name='tmpreportecontrolpatronsustituto', name='autor', field=models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='initsys.Usr'), preserve_default=False, ), migrations.AddField( model_name='tmpreportecontrolpatronsustitutodetalle', name='autor', field=models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='initsys.Usr'), preserve_default=False, ), migrations.AddField( model_name='tmpreportecontrolproximopensionmod40', name='autor', field=models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='initsys.Usr'), preserve_default=False, ), migrations.AddField( model_name='tmpreportpensionesenproceso', name='autor', field=models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='initsys.Usr'), preserve_default=False, ), migrations.AddField( model_name='tmpreportpensionesenprocesodetalle', name='autor', field=models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='initsys.Usr'), preserve_default=False, ), migrations.AddField( model_name='tmpreporttramitesycorrecciones', name='autor', field=models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='initsys.Usr'), preserve_default=False, ), ]
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/Datasets/us_cropland.py
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''' <table class="ee-notebook-buttons" align="left"> <td><a target="_blank" href="https://github.com/giswqs/earthengine-py-notebooks/tree/master/Datasets/us_cropland.ipynb"><img width=32px src="https://www.tensorflow.org/images/GitHub-Mark-32px.png" /> View source on GitHub</a></td> <td><a target="_blank" href="https://nbviewer.jupyter.org/github/giswqs/earthengine-py-notebooks/blob/master/Datasets/us_cropland.ipynb"><img width=26px src="https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/883px-Jupyter_logo.svg.png" />Notebook Viewer</a></td> <td><a target="_blank" href="https://mybinder.org/v2/gh/giswqs/earthengine-py-notebooks/master?filepath=Datasets/us_cropland.ipynb"><img width=58px src="https://mybinder.org/static/images/logo_social.png" />Run in binder</a></td> <td><a target="_blank" href="https://colab.research.google.com/github/giswqs/earthengine-py-notebooks/blob/master/Datasets/us_cropland.ipynb"><img src="https://www.tensorflow.org/images/colab_logo_32px.png" /> Run in Google Colab</a></td> </table> ''' # %% ''' ## Install Earth Engine API Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geehydro](https://github.com/giswqs/geehydro). The **geehydro** Python package builds on the [folium](https://github.com/python-visualization/folium) package and implements several methods for displaying Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, `Map.centerObject()`, and `Map.setOptions()`. The following script checks if the geehydro package has been installed. If not, it will install geehydro, which automatically install its dependencies, including earthengine-api and folium. ''' # %% import subprocess try: import geehydro except ImportError: print('geehydro package not installed. Installing ...') subprocess.check_call(["python", '-m', 'pip', 'install', 'geehydro']) # %% ''' Import libraries ''' # %% import ee import folium import geehydro # %% ''' Authenticate and initialize Earth Engine API. You only need to authenticate the Earth Engine API once. ''' # %% try: ee.Initialize() except Exception as e: ee.Authenticate() ee.Initialize() # %% ''' ## Create an interactive map This step creates an interactive map using [folium](https://github.com/python-visualization/folium). The default basemap is the OpenStreetMap. Additional basemaps can be added using the `Map.setOptions()` function. The optional basemaps can be `ROADMAP`, `SATELLITE`, `HYBRID`, `TERRAIN`, or `ESRI`. ''' # %% Map = folium.Map(location=[40, -100], zoom_start=4) Map.setOptions('HYBRID') # %% ''' ## Add Earth Engine Python script ''' # %% dataset = ee.ImageCollection('USDA/NASS/CDL') \ .filter(ee.Filter.date('2017-01-01', '2018-12-31')) \ .first() cropLandcover = dataset.select('cropland') Map.setCenter(-100.55, 40.71, 4) Map.addLayer(cropLandcover, {}, 'Crop Landcover') # %% ''' ## Display Earth Engine data layers ''' # %% Map.setControlVisibility(layerControl=True, fullscreenControl=True, latLngPopup=True) Map
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/backup/user_352/ch19_2020_03_24_01_38_47_185100.py
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[]
no_license
gabriellaec/desoft-analise-exercicios
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def classifica_triangulo(x, y, z): if x==y and y==z: return "equilátero" elif x!=y or x!=z or z!=y: return "isóseles" else: return "escaleno"
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/pymontecarlo/options/beam/gaussian.py
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""" Gaussian beam. """ # Standard library modules. # Third party modules. # Local modules. from pymontecarlo.options.beam.cylindrical import \ CylindricalBeam, CylindricalBeamBuilder from pymontecarlo.options.particle import Particle # Globals and constants variables. class GaussianBeam(CylindricalBeam): def __init__(self, energy_eV, diameter_m, particle=Particle.ELECTRON, x0_m=0.0, y0_m=0.0): """ Creates a new Gaussian beam. A Gaussian beam is a two dimensional beam where the particles are distributed following a 2D-Gaussian distribution. :arg energy_eV: initial energy of the particle(s) :type energy_eV: :class:`float` :arg diameter_m: diameter of the beam. The diameter corresponds to the full width at half maximum (FWHM) of a two dimensional Gaussian distribution. :type diameter_m: :class:`float` :arg particle: type of particles [default: :data:`.ELECTRON`] :type particle: :mod:`.particle` :arg x0_m: initial x position where the beam first intersects the sample :type x0_m: :class:`float` :arg y0_m: initial y position where the beam first intersects the sample :type y0_m: :class:`float` """ super().__init__(energy_eV, diameter_m, particle, x0_m, y0_m) class GaussianBeamBuilder(CylindricalBeamBuilder): def _create_beam(self, energy_eV, diameter_m, particle, x0_m, y0_m): return GaussianBeam(energy_eV, diameter_m, particle, x0_m, y0_m)
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/challenges/filtra-positivos/tests.py
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from strtest import str_test class TestCase(str_test.TestCaseWrapper): TIMEOUT = 2 def test_1(self): entradas = [[-1, -2, -3],[-1, -2, -3, 0, 1, 2],[0, -1, 1, -2, 2]] esperados = [[], [1, 2], [1, 2]] for entrada, esperado in zip(entradas, esperados): self.assertEqual(esperado, self.function(entrada), 'Não funcionou para a entrada {0}'.format(entrada))
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"""Module containing class `StationNameAliasesPreset`.""" from vesper.util.yaml_preset import YamlPreset class StationNameAliasesPreset(YamlPreset): """ Preset that specifies station name aliases. The preset body is YAML that specifies a mapping from station names to lists of aliases. """ extension_name = 'Station Name Aliases'
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#Repetition based on user input text = "" while text != "quit": text = input("Please enter a chemical formula (or 'quit' to exit): ") if text == "quit": print("...exiting program") elif text == "H2O": print("Water") elif text == "NH3": print("Ammonia") elif text == "CH4": print("Methane") else: print("Unknown compound")
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/printZigZagMatrix.py
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bch6179/Pyn
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Solution(object): def printZigZagMatrix(self, A): n,m = len(A), len(A[0]) x,y=0,0 x = [] for i in range(n+m): if i % 2 == 0: x = i while x >= 0: if x <= m and (i-x) <= n: res.append(A[x][i-x]) x -= 1 else: x = i while x <= m: if x <= m and (i-x) <= n: res.append( A[x][i-x] ) x += 1 return res def printZMatrix(self, matrix): if len(matrix) == 0: return [] x, y = 0, 0 n, m = len(matrix), len(matrix[0]) rows, cols = range(n), range(m) dx = [1, -1] dy = [-1, 1] direct = 1 result = [] for i in xrange(len(matrix) * len(matrix[0])): result.append(matrix[x][y]) nextX = x + dx[direct] nextY = y + dy[direct] if nextX not in rows or nextY not in cols: if direct == 1: if nextY >= m: nextX, nextY = x + 1, y else: nextX, nextY = x, y + 1 else: if nextX >= n: nextX, nextY = x, y + 1 else: nextX, nextY = x + 1, y direct = 1 - direct x, y = nextX, nextY return result
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/simpledb/tx/TxTest.py
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[]
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61515/simpleDB_Python
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from simpledb.buffer.BufferMgr import BufferMgr from simpledb.file.BlockId import BlockId from simpledb.log.LogMgr import LogMgr from simpledb.tx.Transaction import Transaction from simpledb.util.File import File from simpledb.file.FileMgr import FileMgr class TxTest(object): @classmethod def main(cls, args): # db = SimpleDB("txtest", 400, 8) fm = FileMgr(File("txtest"), 400) lm = LogMgr(fm, "simpledb.log") bm = BufferMgr(fm, lm, 8) tx1 = Transaction(fm, lm, bm) blk = BlockId("testfile", 1) tx1.pin(blk) # The block initially contains unknown bytes, # so don't log those values here. tx1.setInt(blk, 80, 1, False) tx1.setString(blk, 40, "one", False) tx1.commit() tx2 = Transaction(fm, lm, bm) tx2.pin(blk) ival = tx2.getInt(blk, 80) sval = tx2.getString(blk, 40) print("initial value at location 80 = " + str(ival)) print("initial value at location 40 = " + str(sval)) newival = ival + 1 newsval = sval + "!" tx2.setInt(blk, 80, newival, True) tx2.setString(blk, 40, newsval, True) tx2.commit() tx3 = Transaction(fm, lm, bm) tx3.pin(blk) print("new value at location 80 = " + str(tx3.getInt(blk, 80))) print("new value at location 40 = " + tx3.getString(blk, 40)) tx3.setInt(blk, 80, 9999, True) print("pre-rollback value at location 80 = " + str(tx3.getInt(blk, 80))) tx3.rollback() tx4 = Transaction(fm, lm, bm) tx4.pin(blk) print("post-rollback at location 80 = " + str(tx4.getInt(blk, 80))) tx4.commit() if __name__ == '__main__': import sys TxTest.main(sys.argv)
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/cities/migrations/0019_hotel_city.py
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[]
no_license
tripupp/Sep19
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refs/heads/master
2022-11-23T23:46:01.512565
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# Generated by Django 2.2.4 on 2019-09-17 23:17 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('cities', '0018_hotel_hotelfacility'), ] operations = [ migrations.AddField( model_name='hotel', name='city', field=models.ForeignKey(default=3, on_delete=django.db.models.deletion.CASCADE, to='cities.City'), preserve_default=False, ), ]
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/klasses/migrations/0003_auto_20210308_1410.py
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DUMBALINYOLO/gbc_oms
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# Generated by Django 3.1.5 on 2021-03-08 12:10 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('people', '0001_initial'), ('klasses', '0002_auto_20210201_1054'), ] operations = [ migrations.AlterField( model_name='studentclass', name='class_teacher', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='people.teacherprofile'), ), ]
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/10-days-of-statistics/day-8-least-square-regression-line/python3.py
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[]
no_license
charlesartbr/hackerrank-python
59a01330a3a6c2a3889e725d4a29a45d3483fb01
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2022-04-29T07:40:20.244416
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x = [95, 85, 80, 70, 60] y = [85, 95, 70, 65, 70] n = len(x) mean_x = sum(x) / n mean_y = sum(y) / n square_x = sum(x[i] ** 2 for i in range(n)) product_xy = sum(x[i] * y[i] for i in range(n)) b = ((n * product_xy) - (sum(x) * sum(y))) / ((n * square_x) - (sum(x) ** 2)) a = mean_y - (b * mean_x) score_x = 80 # regression line score_y = a + (b * score_x) print(round(score_y, 3))
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2020-06-10T01:22:26.063815
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n1=int(input()) if(n1==1): print("one") elif(n1==2): print("two") elif(n1==3): print("three") elif(n1==4): print("four") elif(n1==5): print("five") elif(n1==6): print("six") elif(n1==7): print("seven") elif(n1==8): print("eight") elif(n1==9): print("nine") elif(n1==10): print("ten")
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/imperative/python/megengine/data/tools/_queue.py
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# -*- coding: utf-8 -*- # MegEngine is Licensed under the Apache License, Version 2.0 (the "License") # # Copyright (c) 2014-2021 Megvii Inc. All rights reserved. # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. import binascii import os import queue import subprocess from multiprocessing import Queue import pyarrow import pyarrow.plasma as plasma MGE_PLASMA_MEMORY = int(os.environ.get("MGE_PLASMA_MEMORY", 4000000000)) # 4GB # Each process only need to start one plasma store, so we set it as a global variable. # TODO: how to share between different processes? MGE_PLASMA_STORE_MANAGER = None def _clear_plasma_store(): # `_PlasmaStoreManager.__del__` will not be called automaticly in subprocess, # so this function should be called explicitly global MGE_PLASMA_STORE_MANAGER if MGE_PLASMA_STORE_MANAGER is not None and MGE_PLASMA_STORE_MANAGER.refcount == 0: del MGE_PLASMA_STORE_MANAGER MGE_PLASMA_STORE_MANAGER = None class _PlasmaStoreManager: __initialized = False def __init__(self): self.socket_name = "/tmp/mge_plasma_{}".format( binascii.hexlify(os.urandom(8)).decode() ) debug_flag = bool(os.environ.get("MGE_DATALOADER_PLASMA_DEBUG", 0)) # NOTE: this is a hack. Directly use `plasma_store` may make subprocess # difficult to handle the exception happened in `plasma-store-server`. # For `plasma_store` is just a wrapper of `plasma-store-server`, which use # `os.execv` to call the executable `plasma-store-server`. cmd_path = os.path.join(pyarrow.__path__[0], "plasma-store-server") self.plasma_store = subprocess.Popen( [cmd_path, "-s", self.socket_name, "-m", str(MGE_PLASMA_MEMORY),], stdout=None if debug_flag else subprocess.DEVNULL, stderr=None if debug_flag else subprocess.DEVNULL, ) self.__initialized = True self.refcount = 1 def __del__(self): if self.__initialized and self.plasma_store.returncode is None: self.plasma_store.kill() class PlasmaShmQueue: def __init__(self, maxsize: int = 0): r""" Use pyarrow in-memory plasma store to implement shared memory queue. Compared to native `multiprocess.Queue`, `PlasmaShmQueue` avoid pickle/unpickle and communication overhead, leading to better performance in multi-process application. :type maxsize: int :param maxsize: maximum size of the queue, `None` means no limit. (default: ``None``) """ # Lazy start the plasma store manager global MGE_PLASMA_STORE_MANAGER if MGE_PLASMA_STORE_MANAGER is None: try: MGE_PLASMA_STORE_MANAGER = _PlasmaStoreManager() except Exception as e: err_info = ( "Please make sure pyarrow installed correctly!\n" "You can try reinstall pyarrow and see if you can run " "`plasma_store -s /tmp/mge_plasma_xxx -m 1000` normally." ) raise RuntimeError( "Exception happened in starting plasma_store: {}\n" "Tips: {}".format(str(e), err_info) ) else: MGE_PLASMA_STORE_MANAGER.refcount += 1 self.socket_name = MGE_PLASMA_STORE_MANAGER.socket_name # TODO: how to catch the exception happened in `plasma.connect`? self.client = None # Used to store the header for the data.(ObjectIDs) self.queue = Queue(maxsize) # type: Queue def put(self, data, block=True, timeout=None): if self.client is None: self.client = plasma.connect(self.socket_name) try: object_id = self.client.put(data) except plasma.PlasmaStoreFull: raise RuntimeError("plasma store out of memory!") try: self.queue.put(object_id, block, timeout) except queue.Full: self.client.delete([object_id]) raise queue.Full def get(self, block=True, timeout=None): if self.client is None: self.client = plasma.connect(self.socket_name) object_id = self.queue.get(block, timeout) if not self.client.contains(object_id): raise RuntimeError( "ObjectID: {} not found in plasma store".format(object_id) ) data = self.client.get(object_id) self.client.delete([object_id]) return data def qsize(self): return self.queue.qsize() def empty(self): return self.queue.empty() def join(self): self.queue.join() def disconnect_client(self): if self.client is not None: self.client.disconnect() def close(self): self.queue.close() self.disconnect_client() global MGE_PLASMA_STORE_MANAGER MGE_PLASMA_STORE_MANAGER.refcount -= 1 _clear_plasma_store() def cancel_join_thread(self): self.queue.cancel_join_thread()
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# coding=utf-8 # Copyright 2022 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. r"""A short script for training MAML. Example to run python -m norml.train_maml --config MOVE_POINT_ROTATE_MAML """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from absl import flags from dotmap import DotMap import tensorflow.compat.v1 as tf from norml import config_maml from norml import maml_rl FLAGS = flags.FLAGS flags.DEFINE_string('config', 'RL_PENDULUM_GYM_CONFIG_META', 'Configuration for training.') def main(argv): del argv # Unused config = DotMap(getattr(config_maml, FLAGS.config)) print('MAML config: %s' % FLAGS.config) tf.logging.info('MAML config: %s', FLAGS.config) algo = maml_rl.MAMLReinforcementLearning(config) sess_config = tf.ConfigProto(allow_soft_placement=True) sess_config.gpu_options.allow_growth = True with tf.Session(config=sess_config) as sess: algo.init_logging(sess) init = tf.global_variables_initializer() sess.run(init) done = False while not done: done, _ = algo.train(sess, 10) algo.stop_logging() if __name__ == '__main__': tf.app.run()
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/python-folder/serverless2.py
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""" I want to import website for Reference I want a function named 'compute' I want a function named 'storage' I want a function named 'data_stores' I want a function named 'api_proxy' I want a function named 'api_integration' I want a function named 'analytics' I want a function named 'dev_tool' I want a function named 'orchestration' I want to print out a menu to display 'main loop function' I want a while statement inside the main function calling sub-functions """ import webbrowser def compute(): print('Compute:\n- Lambda lets you run code without provisioning servers.\n- Lamda Edges manages CloudFront.\n- Fargate is a built-purpose containers.') def storage(): print('Storage:\n- S3 provides secure web interface from any web around the world.\n- EFS provides simple, and elastic file storage.') def data_stores(): print('Data Stores:\n- DynamoDB is a fast and flexible No SQL DB.\n- Aurora Serverless is an auto-scaling configuration for Aurora/MySQL.\n- Amazon RDS Proxy is a H.A. DB managing 1000 of connections to relational DBs.') def api_proxy(): print('API Proxy:\nAPI Gateway is a fully managed service to create, maintain, publish, monitor, and secure APIs at any scale....') def api_integration(): print('Application Integration:\n- Amazon SNS is a fully managed pub/sub messaging service designing to decouple and scale microservices.\n- Amazon SQS is a fully managed message queuing service designing to decouple and scale microservices.\n- AWS AppSync simplifies application development by creating data from one or more data sources.\n- Amazon EventBridge is a serverless event bus service designing to access application from a variety of sources to your AWS environment.\n...') def analytics(): print('Analytics:\n- Amazon Kinesis is a platform for streaming data on AWS.\n- Amazon Athena is an interactice query analyzing data into S3 using standard SQL.') def dev_tool(): print('Developer Tools:\n- AWS provides tools and services that aid developers in the serverless application development process.') def orchestration(): print('AWS Step Functions:\n- AWS Step Functions coordinates the components of distributed applications using visual workflows.') print("\nThis script prints out a Menu to display 'Main Loop function.'") def main(): print("\nHere are the following AWS 'serverless' services:\n[0] Quit\t\t[1] Compute\t\t[2] Storage\t[3] Data Stores\n[4] API Proxy\t\t[5] API Integration\t[6] Analytics\t[7] Dev Tools\n[8] Orchestration\t[9] AWS Website\t\t[10] Google ") aws = int(input('\nEnter a number from 0 - 9: ')) while aws: if aws == 1: compute() elif aws == 2: storage() elif aws == 3: data_stores() elif aws == 4: api_proxy() elif aws == 5: api_integration() elif aws == 6: analytics() elif aws == 7: dev_tool() elif aws == 8: orchestration() elif aws == 9: webbrowser.open('https://aws.amazon.com/serverless/') elif aws == 10: webbrowser.open('https://google.com') else: print('Invalid number.') aws = int(input('\nEnter a number from 0 - 10: ')) print('\nExiting the script...!') main() print()
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H,W = map(int,input().split()) A = [list(input()) for _ in range(H)] B = [[0 for _ in range(W)] for _ in range(H)] for i in range(H): for j in range(W): if A[i][j]=="#": B[i][j] = 1 C = [] for i in range(H-1,-1,-1): if sum(B[i])==0: C.append(i) B1 = [] for i in range(H): if i not in C: B1.append(B[i]) C = [] for j in range(W): flag = 0 for i in range(len(B1)): if B1[i][j]==1: flag = 1 break if flag==0: C.append(j) B2 = [] for i in range(len(B1)): row = [] for j in range(W): if j not in C: row.append(B1[i][j]) B2.append(row) B3 = [] for i in range(len(B2)): x = "" for j in range(len(B2[i])): if B2[i][j]==0: x += "." else: x += "#" B3.append(x) for i in range(len(B3)): print(B3[i])
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/simple_issue_tracker/issue/migrations/0003_auto_20180331_0756.py
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# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2018-03-31 07:56 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('issue', '0002_auto_20180330_1804'), ] operations = [ migrations.AlterField( model_name='issue', name='assigned_to', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='assigned_to', to=settings.AUTH_USER_MODEL), ), ]
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/7-kyu/array2binary-addition/python/solution.py
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def arr2bin(arr): return bin(sum(arr))[2:] if all(type(elem) == int for elem in arr) else False
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from django.shortcuts import render, HttpResponse, redirect from django.core.urlresolvers import reverse from .models import User, Trip from django.contrib import messages def index(request): return render(request, "login.html") def register(request): result = User.objects.validate_registration(request.POST) if type(result) == list: for err in result: messages.error(request, err) return redirect('/') request.session['user_id'] = result.id messages.success(request, "Logged in!!") return redirect("/success") def login(request): result = User.objects.validate_login(request.POST) if type(result) == list: for err in result: messages.error(request, err) return redirect('/') request.session['user_id'] = result.id messages.success(request, "Successfully logged in!") return redirect('/success') def success(request): try: request.session['user_id'] except KeyError: return redirect('/') return redirect('/dash') def dash(request): this_user = User.objects.get(id = request.session['user_id']) context = { 'users': User.objects.get(id=request.session['user_id']), 'all_users': Trip.objects.exclude(user = this_user), 'trips': Trip.objects.filter(user = this_user), } return render(request, 'dashboard.html', context) def add_trip(request): this_user = User.objects.get(id = request.session['user_id']) this_trip = Trip.objects.create(destination_name = request.POST ['destination'], description = request.POST['description'], travel_from = request.POST['travel_from'], travel_to = request.POST['travel_to']) this_trip.user.add(this_user) return redirect('/dash') def adddestination(request, id): this_trip = Trip.objects.get(id=id) this_user = User.objects.get(id = request.session['user_id']) this_trip.user.add(this_user) return redirect("/dash") def destination(request, id): return render(request, "destination.html")
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/backend/src/gloader/xml/xpath/Context.py
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######################################################################## # # File Name: Context.py # # """ The context of an XPath expression. WWW: http://4suite.org/XPATH e-mail: [email protected] Copyright (c) 2000-2001 Fourthought Inc, USA. All Rights Reserved. See http://4suite.org/COPYRIGHT for license and copyright information """ import xml.dom.ext import CoreFunctions class Context: functions = CoreFunctions.CoreFunctions def __init__(self, node, position=1, size=1, varBindings=None, processorNss=None): self.node = node self.position = position self.size = size self.varBindings = varBindings or {} self.processorNss = processorNss or {} self._cachedNss = None self._cachedNssNode = None self.stringValueCache = {} return def __repr__(self): return "<Context at %s: Node=%s, Postion=%d, Size=%d>" % ( id(self), self.node, self.position, self.size ) def nss(self): if self._cachedNss is None or self.node != self._cachedNssNode: nss = xml.dom.ext.GetAllNs(self.node) self._cachedNss = nss self._cachedNssNode = self.node return self._cachedNss def next(self): pass def setNamespaces(self, processorNss): self.processorNss = processorNss def copyNamespaces(self): return self.processorNss.copy() def setVarBindings(self, varBindings): self.varBindings = varBindings def copyVarBindings(self): #FIXME: should this be deep copy, because of the possible list entries? return self.varBindings.copy() def copyNodePosSize(self): return (self.node, self.position, self.size) def setNodePosSize(self,(node,pos,size)): self.node = node self.position = pos self.size = size def copy(self): newdict = self.__dict__.copy() newdict["varBindings"] = self.varBindings.copy() return newdict def set(self,d): self.__dict__ = d
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/parsers/pe_hdr.py
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#!/usr/bin/env python from parsers import FType from helpers import * class parser(FType): DESC = "Portable Executable (hdr)" TYPE = "PE(hdr)" MAGIC = b"MZ" def __init__(self, data=""): FType.__init__(self, data) self.data = data self.bAppData = True # let's not have duplicates self.bParasite = True # alignment, but actually first physical offset of a section for big headers self.cut = 2 self.prewrap = 0 self.parasite_o = 0x50 self.parasite_s = 0x100 self.cut = 2 def fixparasite(self, parasite): # padding ALIG = 4 if len(parasite) % ALIG > 0: parasite += (ALIG-(len(parasite) % ALIG)) * b"\0" return parasite def parasitize(self, fparasite): # strategy: add parasite between DOS and PE headers # TODO: turn this into fixformat host = self.data parasite = self.fixparasite(fparasite.data) delta = len(parasite) DOSHdr_s = 0x40 # move the PE header at the right offset PEhdr_o = DOSHdr_s + delta PEHeadersMax = 0x200 # could be adjusted for bigger headers - 0x400 for cuphead PEoffset = host.find(b"PE\0\0") peHDR = host[PEoffset:PEHeadersMax].rstrip(b"\0") # roughly accurate :p if PEhdr_o + len(peHDR) > PEHeadersMax: return None, [] # update SizeOfHeaders SoH_o = 0x54 # local header in the PE header SoH_s = 4 peHDR = inc4l(peHDR, SoH_o, delta) # combine new PE header with rest of the PE merged = b"".join([ b"MZ", # Magic b"\0" * (DOSHdr_s-2-4), # DOS header slack space int4l(PEhdr_o), # pointer to new PE header offset parasite, peHDR, b"\0" * (PEHeadersMax - PEhdr_o - len(peHDR)), host[PEHeadersMax:], ]) return merged, [DOSHdr_s, PEhdr_o]
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# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html import codecs import json import MySQLdb import pymysql as pymysql from scrapy.pipelines.images import ImagesPipeline from twisted.enterprise import adbapi import os from scrapy.exporters import JsonItemExporter class GuokeSpiderPipeline(object): def process_item(self, item, spider): return item #自定义json文件的导出 class JsonWithEncodingPipeline(object): ''' 返回json数据到文件 ''' def __init__(self): self.file = codecs.open("article.json",'w',encoding="utf-8") def process_item(self, item, spider): lines = json.dumps(dict(item),ensure_ascii=False) + "\n" self.file.write(lines) return item def spider_closed(self,spider): self.file.close() class JsonExporterPipeline(object): # scrapy提供的Json export 导出json文件 def __init__(self): self.file = codecs.open("articlexport.json",'wb') self.exporter=JsonItemExporter(self.file,encoding="utf-8",ensure_ascii=False) self.exporter.start_exporting() def spider_closed(self,spider): self.exporter.finish_exporting() self.file.close() def process_item(self,item,spider): self.exporter.export_item(item) return item class MysqlPipeline(object): ''' 插入mysql数据库 ''' def __init__(self): self.conn =pymysql.connect(host='172.24.22.178',port=3306,user='root',passwd='1029384756',db='bole_spider',use_unicode=True, charset="utf8") self.cursor = self.conn.cursor() def process_item(self,item,spider): insert_sql = ''' insert into boleitem(title,create_date,url,url_object_id,front_image_url,front_image_path,comment_nums,fav_nums,praise_nums,tag,content) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s) ''' # mysql> GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' IDENTIFIED BY '123456' WITH GRANT OPTION; 解决访问被拒绝 self.cursor.execute(insert_sql,(item["title"],item["create_date"],item["url"],item["url_object_id"],item["front_image_url"],item["front_image_path"],item["comment_nums"],item["fav_nums"],item["praise_nums"],item["tag"],item["content"])) self.conn.commit()#connect执行commit # class MysqlTwistedPipline(object): # ''' # 采用异步的方式插入数据,防止造成堵塞(上面那个方法会堵塞) # ''' # def __init__(self,dbpool): # self.dbpool = dbpool # # @classmethod # def from_settings(cls,settings): # # # dbpool = adbapi.ConnectionPool("pymysql",host='172.24.22.178',port=3306,user='root',passwd='1029384756',db='bole_spider',use_unicode=True, charset="utf8") # # dbpool = adbapi.ConnectionPool(DB_SERVER,**DB_CONNECT) # return cls(dbpool) # def process_item(self,item,spider): # ''' # 使用twisted将mysql插入变成异步 # :param item: # :param spider: # :return: # ''' # query = self.dbpool.runInteraction(self.do_insert,item) # # query.addErrback(self.handle_error) # # def handle_error(self,failure): # #处理异步插入的异常 # print(failure) # # def do_insert(self,cursor,item): # #具体插入数据 # insert_sql = ''' # insert into jobbole_article(title,create_date,url,url_object_id,front_image_url,front_image_path,comment_nums,fav_nums,praise_nums,tag,content) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s) # ''' # cursor.execute(insert_sql,(item["title"],item["create_date"],item["url"],item["url_object_id"],item["front_image_url"],item["front_image_path"],item["comment_nums"],item["fav_nums"],item["praise_nums"],item["tag"],item["content"])) # class ArticleImagePipeline(ImagesPipeline): ''' 对图片的处理 ''' def item_completed(self, results, item, info): for ok ,value in results: if ok: image_file_path = value["path"] item['front_image_path'] = image_file_path else: item['front_image_path'] = "" return item
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/store/models/product.py
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no_license
Jay28497/Django-Ecommerce-Website
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from django.db import models from .category import Category class Product(models.Model): name = models.CharField(max_length=50) price = models.IntegerField(default=0) category = models.ForeignKey(Category, on_delete=models.CASCADE, default=1) description = models.CharField(max_length=200, default='') image = models.ImageField(upload_to='uploads/products/') @staticmethod def get_all_products(): return Product.objects.all() @staticmethod def get_all_products_by_category_id(category_id): if category_id: return Product.objects.filter(category=category_id) else: return Product.objects.all() @staticmethod def get_products_by_id(ids): return Product.objects.filter(id__in=ids) def __str__(self): return self.name class Meta: db_table = 'Product'
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/tests/test_pitch_shift.py
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import unittest import numpy as np from audiomentations.augmentations.transforms import PitchShift from audiomentations.core.composition import Compose class TestPitchShift(unittest.TestCase): def test_dynamic_length(self): samples = np.zeros((512,), dtype=np.float32) sample_rate = 16000 augmenter = Compose([ PitchShift(min_semitones=-2, max_semitones=-1, p=1.0) ]) samples = augmenter(samples=samples, sample_rate=sample_rate) self.assertEqual(samples.dtype, np.float32) self.assertEqual(len(samples), 512)
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/dp/금광.py
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hyeokjinson/algorithm
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T=int(input()) for _ in range(T): n,m=map(int,input().split()) arr=list(map(int,input().split())) dp=[] index=0 for i in range(n): dp.append(arr[index:index+m]) index+=m for j in range(1,m): for i in range(n): #왼쪽 위에서 오는 경우 if i==0: left_up=0 else: left_up=dp[i-1][j-1] #왼쪽에서 오는 경우 left=dp[i][j-1] #왼쪽 아래에서 오는경우 if i==n-1: left_down=0 else: left_down=dp[i+1][j-1] dp[i][j]=max(left_down,left,left_up)+dp[i][j] res=0 for i in range(n): res=max(res,dp[i][m-1]) print(res)
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/torch/testing/_deprecated.py
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"""This module exists since the `torch.testing` exposed a lot of stuff that shouldn't have been public. Although this was never documented anywhere, some other internal FB projects as well as downstream OSS projects might use this. Thus, we don't internalize without warning, but still go through a deprecation cycle. """ import functools import warnings from typing import Any, Callable, Optional, Tuple import torch __all__ = [ "rand", "randn", "assert_allclose", ] def warn_deprecated(instructions: str) -> Callable: def outer_wrapper(fn: Callable) -> Callable: msg = ( f"torch.testing.{fn.__name__} is deprecated and will be removed in a future release. " f"{instructions.strip()}" ) @functools.wraps(fn) def inner_wrapper(*args: Any, **kwargs: Any) -> Any: warnings.warn(msg, FutureWarning) return fn(*args, **kwargs) return inner_wrapper return outer_wrapper rand = warn_deprecated("Use torch.rand instead.")(torch.rand) randn = warn_deprecated("Use torch.randn instead.")(torch.randn) _DTYPE_PRECISIONS = { torch.float16: (1e-3, 1e-3), torch.float32: (1e-4, 1e-5), torch.float64: (1e-5, 1e-8), } def _get_default_rtol_and_atol(actual: torch.Tensor, expected: torch.Tensor) -> Tuple[float, float]: actual_rtol, actual_atol = _DTYPE_PRECISIONS.get(actual.dtype, (0.0, 0.0)) expected_rtol, expected_atol = _DTYPE_PRECISIONS.get(expected.dtype, (0.0, 0.0)) return max(actual_rtol, expected_rtol), max(actual_atol, expected_atol) # TODO: include the deprecation as soon as torch.testing.assert_close is stable # @warn_deprecated( # "Use torch.testing.assert_close instead. " # "For detailed upgrade instructions see https://github.com/pytorch/pytorch/issues/61844." # ) def assert_allclose( actual: Any, expected: Any, rtol: Optional[float] = None, atol: Optional[float] = None, equal_nan: bool = True, msg: str = "", ) -> None: if not isinstance(actual, torch.Tensor): actual = torch.tensor(actual) if not isinstance(expected, torch.Tensor): expected = torch.tensor(expected, dtype=actual.dtype) if rtol is None and atol is None: rtol, atol = _get_default_rtol_and_atol(actual, expected) torch.testing.assert_close( actual, expected, rtol=rtol, atol=atol, equal_nan=equal_nan, check_device=True, check_dtype=False, check_stride=False, check_is_coalesced=False, msg=msg or None, )
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/test/integration/vint/linting/policy/test_prohibit_encoding_opt_after_scriptencoding.py
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Vimjas/vint
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import unittest from test.asserting.policy import PolicyAssertion, get_fixture_path from vint.linting.level import Level from vint.linting.policy.prohibit_encoding_opt_after_scriptencoding import ( ProhibitEncodingOptionAfterScriptEncoding, ) VALID_ORDER_VIM_SCRIPT = get_fixture_path( 'prohibit_encoding_opt_after_scriptencoding_valid.vim' ) NO_ENCODING_OPT_VIM_SCRIPT = get_fixture_path( 'prohibit_encoding_opt_after_scriptencoding_valid_no_encoding_opt.vim' ) NO_SCRIPT_ENCODING_VIM_SCRIPT = get_fixture_path( 'prohibit_encoding_opt_after_scriptencoding_valid_no_scriptencoding.vim' ) INVALID_ORDER_VIM_SCRIPT = get_fixture_path( 'prohibit_encoding_opt_after_scriptencoding_invalid.vim' ) class TestProhibitEncodingOptionAfterScriptEncoding(PolicyAssertion, unittest.TestCase): def _create_violation_by_line_number(self, line_number): return { 'name': 'ProhibitEncodingOptionAfterScriptEncoding', 'level': Level.WARNING, 'position': { 'line': line_number, 'column': 1, 'path': INVALID_ORDER_VIM_SCRIPT } } def test_get_violation_if_found_with_valid_file(self): self.assertFoundNoViolations(VALID_ORDER_VIM_SCRIPT, ProhibitEncodingOptionAfterScriptEncoding) def test_get_violation_if_found_with_valid_file_no_encoding_option(self): self.assertFoundNoViolations(NO_ENCODING_OPT_VIM_SCRIPT, ProhibitEncodingOptionAfterScriptEncoding) def test_get_violation_if_found_with_valid_file_no_scriptencoding(self): self.assertFoundNoViolations(NO_SCRIPT_ENCODING_VIM_SCRIPT, ProhibitEncodingOptionAfterScriptEncoding) def test_get_violation_if_found_with_invalid_file(self): expected_violations = [self._create_violation_by_line_number(2)] self.assertFoundViolationsEqual(INVALID_ORDER_VIM_SCRIPT, ProhibitEncodingOptionAfterScriptEncoding, expected_violations) if __name__ == '__main__': unittest.main()
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/but/trades/views/send_email.py
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from django.shortcuts import render, redirect from django.core.urlresolvers import reverse from trades.models import Contact from users.models import User def send_email(request): title = request.POST.get('title') content = request.POST.get('content') accept = request.POST.get('user_id') contact = Contact.objects.create( send=request.user, message_text=content, message_title=title, accept=User.objects.get(id=accept), ) return redirect(request.META.get('HTTP_REFERER'))
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/All_In_One/addons/libraryManager.py
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[]
no_license
2434325680/Learnbgame
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bl_info = { "name": "texture library manager", "author": "Antonio Mendoza", "version": (0, 0, 1), "blender": (2, 72, 0), "location": "View3D > Panel Tools > Texture library manager panel (sculpt mode)", "warning": "", "description": "Load and unload image libraries", "category": "Learnbgame", } import bpy import os import sys from bpy.props import StringProperty, BoolProperty, IntProperty, CollectionProperty, FloatProperty, EnumProperty from bpy.types import Menu, Panel def findImage (p_Name): found = False for img in bpy.data.textures: if img.name == p_Name: found = True break return found def selectImages (p_fileList): file_list = p_fileList img_list = [item for item in file_list if item[-3:] == 'png' or item[-3:] == 'jpg' or item[-4:] == 'jpeg' or item[-3:] == 'tga'] return img_list def image_batchImport(p_dir): file_list = sorted(os.listdir(p_dir)) img_list = selectImages (file_list) for img in img_list: dirImage = os.path.join(p_dir, img) tName = os.path.basename(os.path.splitext(img)[0]) if findImage(tName) == False: nImage = bpy.data.images.load(dirImage) nT = bpy.data.textures.new(name=tName,type='IMAGE') bpy.data.textures[tName].image = nImage def image_batchRemove(p_dir): file_list = sorted(os.listdir(p_dir)) img_list = selectImages (file_list) for img in img_list: dirImage = os.path.join(p_dir, img) tName = os.path.basename(os.path.splitext(img)[0]) for tex in bpy.data.textures: if tex.name == tName: if tex.type == 'IMAGE': image = tex.image tex.image.user_clear() bpy.data.images.remove(image) tex.user_clear() bpy.data.textures.remove(tex) def findUserSysPath(): userPath = '' def readLibraryDir(): dir = '' fileDir = os.path.join(bpy.utils.resource_path('USER'), "scripts\\presets\\texture_library.conf") if os.path.isfile(fileDir): file = open(fileDir, 'r') dir = file.read() file.close() return dir class LBM_OP_LibraryUnload(bpy.types.Operator): bl_idname = "operator.library_unload" bl_label = "" library = bpy.props.StringProperty() def execute(self, context): dir = os.path.join(context.scene.libmng_string_librarydir,self.library) image_batchRemove(dir) return {'FINISHED'} class LBM_OP_LibraryLoad(bpy.types.Operator): bl_idname = "operator.library_load" bl_label = "" library = bpy.props.StringProperty() def execute(self, context): dir = context.scene.libmng_string_librarydir + '\\' + self.library image_batchImport(dir) return {'FINISHED'} class LBM_OP_LoadLibraries(bpy.types.Operator): bl_idname = "operator.load_libraries" bl_label = "Refresh libraries" name = bpy.props.StringProperty() dir_library = bpy.props.StringProperty() libraries = [] @classmethod def loadLibraryDir(self): dir = '' fileDir = os.path.join(bpy.utils.resource_path('USER'), "scripts\\presets\\texture_library.conf") if os.path.isfile(fileDir): file = open(fileDir, 'r') dir = file.read() file.close() self.dir_library = dir self.findLibraries(self.dir_library) def saveLibraryDir(self, p_Dir): fileDir = os.path.join(bpy.utils.resource_path('USER'), "scripts\\presets\\texture_library.conf") file = open(fileDir, 'w+') file.write(p_Dir) file.close() def notInLibraries(self,p_item): notFound = True for item in self.libraries: if p_item == item: notFound = False break return notFound @classmethod def findLibraries(self, p_dir): dir = p_dir if os.path.isdir(dir): file_list = sorted(os.listdir(dir)) dir_list = [] del self.libraries[:] for item in file_list: lib_dir = os.path.join(dir,item) if os.path.isdir(lib_dir): dir_list.append(item) for lib in dir_list: lib_dir = os.path.join(dir,lib) if os.path.isdir(lib_dir) and self.notInLibraries(self,lib): self.libraries.append(lib) def execute(self, context): self.saveLibraryDir(context.scene.libmng_string_librarydir) self.dir_library = bpy.context.scene.libmng_string_librarydir self.findLibraries(context.scene.libmng_string_librarydir) return {'FINISHED'} class LBM_PN_LibraryManager(bpy.types.Panel): bl_space_type = 'VIEW_3D' bl_region_type = 'TOOLS' bl_label = "Library manager" bl_category = 'Tools' #bl_context = 'sculptmode' bl_options = {'DEFAULT_CLOSED'} @classmethod def poll(cls, context): return (context.sculpt_object or context.vertex_paint_object or context.vertex_paint_object or context.image_paint_object) def draw(self,context): layout = self.layout row = layout.row() row.prop(context.scene,'libmng_string_librarydir',text='library dir' ) row = layout.row() op = row.operator(LBM_OP_LoadLibraries.bl_idname) box = layout.box() i = 0 for item in LBM_OP_LoadLibraries.libraries: row = box.row(align=True) op_name = item op = row.label(text=op_name) opl = row.operator(LBM_OP_LibraryLoad.bl_idname, icon='ZOOMIN') opl.library = op_name opul = row.operator(LBM_OP_LibraryUnload.bl_idname, icon='ZOOMOUT') opul.library = op_name def loadInitData(): LBM_OP_LoadLibraries.loadLibraryDir() def register(): default_library = readLibraryDir() bpy.types.Scene.libmng_string_librarydir = bpy.props.StringProperty(name="libraryDir", default=default_library, subtype = 'DIR_PATH') bpy.utils.register_class(LBM_OP_LoadLibraries) bpy.utils.register_class(LBM_OP_LibraryLoad) bpy.utils.register_class(LBM_OP_LibraryUnload) bpy.utils.register_class(LBM_PN_LibraryManager) loadInitData() def unregister(): del bpy.types.Scene.libmng_string_librarydir bpy.utils.unregister_class(LBM_OP_LoadLibraries) bpy.utils.unregister_class(LBM_OP_LibraryLoad) bpy.utils.unregister_class(LBM_OP_LibraryUnload) bpy.utils.unregister_class(LBM_PN_LibraryManager) if __name__ == "__main__": register()
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/api/v2010/incoming_phone_number/create-test-post-example-3/create-test-post-example-3.6.x.py
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synackme/sample-code
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# Download the helper library from https://www.twilio.com/docs/python/install from twilio.rest import Client # Your Account Sid and Auth Token from twilio.com/console account_sid = '"ACXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"' auth_token = 'your_auth_token' client = Client(account_sid, auth_token) incoming_phone_number = client.incoming_phone_numbers.create(phone_number="33") print(incoming_phone_number.sid)
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import random class Exchange: '''e1 = Exchange(dollars=1000, euro=1, cambio=1.18) will give you the euro for 1000 $\ d1 = Exchange(dollars=1, euro=500, cambio=1.18) ''' def __init__(self, dollars, euro, cambio): "If euro = 1 it changes dollars into euro and viceversa" self.dollars = dollars self.euro = euro self.cambio = cambio def exchange(self): "Calculate euro for dollars and viceversa" if self.euro: # get euro for .... dollars return round(self.dollars / self.cambio, 2) if self.dollars: return round(self.euro * self.cambio, 2) def print(self): "This just adds the € to the euro" print(f"{self.euro} €") def pprint(self): self.print_sol = f"You get {self.dollars} $ for [{self.exchange()} €] " self.print_sol += f" at an exchange rate of {self.cambio}" #print(self.print_sol) return self.print_sol def print_ex(self, lang="en"): "Call this to print the exercises" global cnt if self.euro: d = self.dollars c = self.cambio if lang=="en": f = [ f"How many € you must give to get {d} $ at and exchange rate of {c}?", f"Change {d} $ in euro at an exchange rate of {c}.", f"How many € you must pay to get {d} $ at and exchange rate of {c}?", f"Find the € you need to buy {d} $ at and exchange rate of {c}.", f"If you got {d}$, how many euro you will get at {c} as exchange rate?" ] if lang=="it": f = [ f"Quanti € devi pagare per acquistare {d} $ al cambio EUR/USD di {c}?", f"Cambia {d} $ in euro al tasso di {c}.", f"Calcola quanti euro ottieni vendendo {d} $ al cambio pari a {c} EUR/USD.", f"Con {d}$, quanti euro ottieni con un cambio EUR/USD pari a {c}?" ] self.print_change = random.choice(f) print(str(cnt), self.print_change) cnt += 1 return self.print_change def dollars(self): if self.euro != 1: return self.euro() * self.cambio def random(self): return random.randrange(100, 3000, 50) def random_cambio(self): ch = 1 + round(random.random(), 2) # print(ch) return ch def generate_ex(self): "generates random dollars and exchange" self.cambio = round(self.random_cambio(), 2) if self.euro == 1: self.dollars = self.random() self.result = self.exchange() else: self.euro = self.random() self.result = self.exchange() # return self.euro, self.dollars, self.result def print_solution(self): print("Solution:") self.pprint() print() cnt = 1 def main(save=0): "This shows 10 random exercizes made with the class Exchange" ################## Instructions #################### # first create an istance e1 = Exchange(dollars=1000, euro=1, cambio=1.18) # To see the result of the istance, uncomment the following statement # e1.pprint() # Let's create 10 exercizes sol = [] text = [] # change 10 if you want more or less exercizes print("Solve these exercizes:\n ---") for n in range(10): # Generate a random exercise e1.generate_ex() # adds the exercise to the list sol sol.append(str(cnt) + " " + e1.pprint()) text.append(e1.print_change) # prints traccia and solutions e1.print_ex() solutions(sol) if save: save_text(text) def save_text(text): "Create text file" with open("traccia.txt", "w") as file: file.write(text) def solutions(sol): "Prints the solutions" print("\nSolutions") # print only solutions for n in sol: print(n) main(save=1)
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/model/bert_ce.py
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# -*-coding:utf-8 -*- from tools.train_utils import * from tools.layer import * from tools.loss import cross_entropy_loss from tools.utils import add_layer_summary from config import TRAIN_PARAMS def build_graph(features, labels, params, is_training): """ pretrain Bert model output + cross-entropy loss """ input_ids = features['token_ids'] label_ids = features['label_ids'] input_mask = features['mask'] segment_ids = features['segment_ids'] seq_len = features['seq_len'] embedding = pretrain_bert_embedding(input_ids, input_mask, segment_ids, params['pretrain_dir'], params['embedding_dropout'], is_training) load_bert_checkpoint(params['pretrain_dir']) # load pretrain bert weight from checkpoint logits = tf.layers.dense(embedding, units=params['label_size'], activation=None, use_bias=True, name='logits') add_layer_summary(logits.name, logits) loss = cross_entropy_loss(logits, label_ids, seq_len, params['label_size'], params['max_seq_len'], params['dtype']) pred_ids = tf.argmax(logits, axis=-1) # batch * max_seq if is_training: pred2str = map2sequence(params['idx2tag']) tf.summary.text('prediction', pred2str(pred_ids[0, :])) return loss, pred_ids TRAIN_PARAMS.update({ 'diff_lr_times': {'logit': 500} })
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/char-lm-ud-wiki-classify-boundaries-report-errors-upToEndOnly-lexCountBaseline-tokenized.py
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[]
no_license
m-hahn/probing-char-lms
e6ea3b00f82326140e28656290447d6c998278d6
5ab45883cefb1f69788e441b60d56d886833b3e4
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# python char-lm-ud-wiki-classify-boundaries-report-errors-upToEndOnly-lexCountBaseline-tokenized.py --language english from paths import WIKIPEDIA_HOME from paths import LOG_HOME from paths import CHAR_VOCAB_HOME from paths import MODELS_HOME import argparse parser = argparse.ArgumentParser() parser.add_argument("--language", dest="language", type=str) parser.add_argument("--load-from", dest="load_from", type=str) import random parser.add_argument("--batchSize", type=int, default=16) parser.add_argument("--char_embedding_size", type=int, default=100) parser.add_argument("--hidden_dim", type=int, default=1024) parser.add_argument("--layer_num", type=int, default=1) parser.add_argument("--weight_dropout_in", type=float, default=0.01) parser.add_argument("--weight_dropout_hidden", type=float, default=0.1) parser.add_argument("--char_dropout_prob", type=float, default=0.33) parser.add_argument("--char_noise_prob", type = float, default= 0.01) parser.add_argument("--learning_rate", type = float, default= 0.1) parser.add_argument("--myID", type=int, default=random.randint(0,1000000000)) parser.add_argument("--sequence_length", type=int, default=50) args=parser.parse_args() print(args) #assert args.language == "german" import corpusIteratorWikiWords def plus(it1, it2): for x in it1: yield x for x in it2: yield x try: with open(CHAR_VOCAB_HOME+"/char-vocab-wiki-"+args.language, "r") as inFile: itos = inFile.read().strip().split("\n") except FileNotFoundError: print("Creating new vocab") char_counts = {} # get symbol vocabulary with open(WIKIPEDIA_HOME+"/"+args.language+"-vocab.txt", "r") as inFile: words = inFile.read().strip().split("\n") for word in words: for char in word.lower(): char_counts[char] = char_counts.get(char, 0) + 1 char_counts = [(x,y) for x, y in char_counts.items()] itos = [x for x,y in sorted(char_counts, key=lambda z:(z[0],-z[1])) if y > 50] with open(CHAR_VOCAB_HOME+"/char-vocab-wiki-"+args.language, "w") as outFile: print("\n".join(itos), file=outFile) #itos = sorted(itos) print(itos) stoi = dict([(itos[i],i) for i in range(len(itos))]) import random import torch print(torch.__version__) from weight_drop import WeightDrop #rnn = torch.nn.LSTM(args.char_embedding_size, args.hidden_dim, args.layer_num).cuda() #rnn_parameter_names = [name for name, _ in rnn.named_parameters()] #print(rnn_parameter_names) #quit() #rnn_drop = WeightDrop(rnn, [(name, args.weight_dropout_in) for name, _ in rnn.named_parameters() if name.startswith("weight_ih_")] + [ (name, args.weight_dropout_hidden) for name, _ in rnn.named_parameters() if name.startswith("weight_hh_")]) #output = torch.nn.Linear(args.hidden_dim, len(itos)+3).cuda() #char_embeddings = torch.nn.Embedding(num_embeddings=len(itos)+3, embedding_dim=args.char_embedding_size).cuda() logsoftmax = torch.nn.LogSoftmax(dim=2) train_loss = torch.nn.NLLLoss(ignore_index=0) print_loss = torch.nn.NLLLoss(size_average=False, reduce=False, ignore_index=0) char_dropout = torch.nn.Dropout2d(p=args.char_dropout_prob) #modules = [rnn, output, char_embeddings] #def parameters(): # for module in modules: # for param in module.parameters(): # yield param #parameters_cached = [x for x in parameters()] #optim = torch.optim.SGD(parameters(), lr=args.learning_rate, momentum=0.0) # 0.02, 0.9 #named_modules = {"rnn" : rnn, "output" : output, "char_embeddings" : char_embeddings, "optim" : optim} #if args.load_from is not None: # checkpoint = torch.load(MODELS_HOME+"/"+args.load_from+".pth.tar") # for name, module in named_modules.items(): # module.load_state_dict(checkpoint[name]) from torch.autograd import Variable # ([0] + [stoi[training_data[x]]+1 for x in range(b, b+sequence_length) if x < len(training_data)]) #from embed_regularize import embedded_dropout def prepareDatasetChunks(data, train=True): numeric = [0] boundaries = [None for _ in range(args.sequence_length+1)] boundariesAll = [None for _ in range(args.sequence_length+1)] count = 0 currentWord = "" print("Prepare chunks") for chunk in data: print(len(chunk)) for word in chunk: for char in word: if boundariesAll[len(numeric)] is None: boundariesAll[len(numeric)] = currentWord count += 1 currentWord += char numeric.append((stoi[char]+3 if char in stoi else 2) if (not train) or random.random() > args.char_noise_prob else 2+random.randint(0, len(itos))) if len(numeric) > args.sequence_length: yield numeric, boundaries, boundariesAll numeric = [0] boundaries = [None for _ in range(args.sequence_length+1)] boundariesAll = [None for _ in range(args.sequence_length+1)] assert currentWord == word, (currentWord, word) boundaries[len(numeric)] = currentWord boundariesAll[len(numeric)] = currentWord currentWord = "" # from each bath element, get one positive example OR one negative example wordsSoFar = set() hidden_states = [] labels = [] relevantWords = [] relevantNextWords = [] labels_sum = 0 def forward(numeric, train=True, printHere=False): global labels_sum numeric, boundaries, boundariesAll = zip(*numeric) # print(numeric) # print(boundaries) # input_tensor = Variable(torch.LongTensor(numeric).transpose(0,1)[:-1].cuda(), requires_grad=False) # target_tensor = Variable(torch.LongTensor(numeric).transpose(0,1)[1:].cuda(), requires_grad=False) # embedded = char_embeddings(input_tensor) # if train: # embedded = char_dropout(embedded) # out, _ = rnn_drop(embedded, None) # if train: # out = dropout(out) for i in range(len(boundaries)): # for each batch sample target = (labels_sum + 10 < len(labels)/2) or (random.random() < 0.5) # decide whether to get positive or negative sample true = sum([((x == None) if target == False else (x not in wordsSoFar)) for x in boundaries[i][int(args.sequence_length/2):-1]]) # condidates # print(target, true) if true == 0: continue soFar = 0 # print(list(zip(boundaries[i], boundariesAll[i]))) for j in range(len(boundaries[i])-5): if j < int(len(boundaries[i])/2): continue if (lambda x:((x is None if target == False else x not in wordsSoFar)))(boundaries[i][j]): # print(i, target, true,soFar) if random.random() < 1/(true-soFar): # hidden_states.append(out[j-1,i].detach().data.cpu().numpy()) labels.append(1 if target else 0) relevantWords.append(boundariesAll[i][j]) relevantNextWords.append(([boundaries[i][k] for k in range(j+1, len(boundaries[i])) if boundaries[i][k] is not None]+["END_OF_SEQUENCE"])[0]) assert boundariesAll[i][j] is not None labels_sum += labels[-1] if target: wordsSoFar.add(boundaries[i][j]) break soFar += 1 assert soFar < true # print(hidden_states) # print(labels) # logits = output(out) # log_probs = logsoftmax(logits) # print(logits) # print(log_probs) # print(target_tensor) # loss = train_loss(log_probs.view(-1, len(itos)+3), target_tensor.view(-1)) if printHere: # lossTensor = print_loss(log_probs.view(-1, len(itos)+3), target_tensor.view(-1)).view(args.sequence_length, len(numeric)) # losses = lossTensor.data.cpu().numpy() # boundaries_index = [0 for _ in numeric] for i in range((args.sequence_length-1)-1): # if boundaries_index[0] < len(boundaries[0]) and i+1 == boundaries[0][boundaries_index[0]]: # boundary = True # boundaries_index[0] += 1 # else: # boundary = False print((itos[numeric[0][i+1]-3], "read:", itos[numeric[0][i]-3], boundariesAll[0][i], boundariesAll[0][i+1] if i < args.sequence_length-2 else "EOS")) print((labels_sum, len(labels))) # return loss, len(numeric) * args.sequence_length import time devLosses = [] #for epoch in range(10000): if True: training_data = corpusIteratorWikiWords.training(args.language) print("Got data") training_chars = prepareDatasetChunks(training_data, train=True) #rnn_drop.train(False) startTime = time.time() trainChars = 0 counter = 0 while True: counter += 1 try: numeric = [next(training_chars) for _ in range(args.batchSize)] except StopIteration: break printHere = (counter % 50 == 0) forward(numeric, printHere=printHere, train=True) #backward(loss, printHere) if printHere: print((counter)) print("Dev losses") print(devLosses) print("Chars per sec "+str(trainChars/(time.time()-startTime))) if len(labels) > 10000: break predictors = hidden_states dependent = labels stimuli = sorted(list(zip(relevantWords, dependent)), key=lambda x:x[0]) stimuliUnique = {} for prefix, dependent in stimuli: if prefix not in stimuliUnique: stimuliUnique[prefix] = [0,0] stimuliUnique[prefix][dependent] += 1 with open("/u/scr/mhahn/FAIR18/"+args.language+"-wiki-word-vocab.txt", "r") as inFile: print("reading") lexicon = [x.split("\t") for x in inFile.read().strip().split("\n")] #[:10000]] print("sorting") lexicon = sorted(lexicon, key=lambda x:x[0]) print("done") print(lexicon[:100]) #quit() print(stimuliUnique) correct = 0 incorrect = 0 last = 0 predictions = [] for stimulus, isAndIsntBoundary in stimuliUnique.items(): # print("SEARCHING FOR", stimulus) # find the postion of the word i = last j = len(lexicon)-1 while True: # goal: find i such that lexicon[i][0] is the last word that is <= stimulus mid = int((i+j)/2) assert mid >= i if i == mid: assert lexicon[i][0] <= stimulus and lexicon[i+1][0] > stimulus, (lexicon[i-1:i+2], stimulus) print("center") break inMid = lexicon[mid][0] if inMid < stimulus: i = mid elif inMid > stimulus: # assert inMid > stimulus, (inMid, stimulus) j = mid else: i = mid print("from mid") assert lexicon[i][0] == stimulus break assert lexicon[i][0] <= stimulus and stimulus <= lexicon[j][0] assert lexicon[i][0] <= stimulus and lexicon[i+1][0] > stimulus, (lexicon[i-1:i+2], stimulus) if lexicon[i][0] == stimulus: start = i else: start = i+1 assert lexicon[start][0] >= stimulus if not lexicon[start][0].startswith(stimulus): predictions.append(1 if random.random() > 0.5 else 0) print ("NO SUFFIX FOUND", (stimulus, "start-1", lexicon[start-1], "start", lexicon[start], "start+1", lexicon[start+1], lexicon[start+2:start+10], stimulus >= lexicon[start][0], stimulus <= lexicon[start-1][0])) assert False if random.random() > 0.5: correct += isAndIsntBoundary[1] incorrect += isAndIsntBoundary[0] else: correct += isAndIsntBoundary[0] incorrect += isAndIsntBoundary[1] else: assert not lexicon[start-1][0].startswith(stimulus), (stimulus, lexicon[start-1], lexicon[start], stimulus >= lexicon[start][0], stimulus <= lexicon[start-1][0]) if lexicon[start+1][0] < stimulus: assert start+1 == len(lexicon), (lexicon[start], lexicon[start+1], stimulus, start, j) #assert stimulus <= lexicon[i][0] and stimulus >= lexicon[i-1][0], (stimulus, lexicon[i-1], lexicon[i], stimulus >= lexicon[i][0], stimulus <= lexicon[i-1][0]) last = i r = start s = len(lexicon)-1 while True: mid = int((r+s)/2) # print(r, mid, s, stimulus, lexicon[r], lexicon[s]) assert mid >= r if r == mid: break inMid = lexicon[mid][0] assert inMid >= stimulus if not inMid.startswith(stimulus): s = mid else: # assert inMid > stimulus, (inMid, stimulus) r = mid print("START AND END", stimulus, lexicon[start], lexicon[r], lexicon[s], start, j, r, s) assert lexicon[s-1][0].startswith(stimulus) assert not lexicon[s][0].startswith(stimulus) # from lexicon[i] to lexicon[s-1] is the span if lexicon[start][0] != stimulus: # this is not a word, only a prefix predictions.append(1) correct += isAndIsntBoundary[1] incorrect += isAndIsntBoundary[0] else: countsWord = int(lexicon[start][1]) countsOther = sum([int(lexicon[q][1]) for q in range(start+1, s)]) if countsWord == countsOther: prediction = (1 if random.random() > 0.5 else 0) else: prediction = 1 if (countsWord > countsOther) else 0 print(stimulus, countsWord, countsOther, prediction, isAndIsntBoundary) if prediction == 0: correct += isAndIsntBoundary[0] incorrect += isAndIsntBoundary[1] elif prediction == 1: correct += isAndIsntBoundary[1] incorrect += isAndIsntBoundary[0] print(correct, incorrect, correct/(1+correct+incorrect))
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/笨办法学python/projects/setup(1).py
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[]
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zmjm4/python
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# -*- coding: utf-8 -*- try: from setuptools import setup except: from distutils.core import setup config={ 'description': 'My Project', 'author': 'My Name', 'url': 'URL to get it at.', 'download_url': 'Where to download it.', 'author_email': 'My email.', 'version': '0.1', 'install_requires':['nose'], 'packages': ['NAME','bin'], 'scripts': [], 'name': 'projectname' } setup(**config)
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/oldboy-python18/day05-函数-模块与包的使用/00/day05/包/aaa/m1.py
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[]
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huboa/xuexi
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refs/heads/master
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def func1(): print('f1')