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How to use for_name method in Gherkin-python

Best Python code snippet using gherkin-python

lapunow.py

Source:lapunow.py

...10if not os.path.exists('tex/svg'):11    os.makedirs('tex/svg')12begin = time()13width, height = 10, 1014for_name("van_der_poll_1", width, height, arrows=[0.2, 0.6]) \15    (lambda t, y: van_der_poll(y, 1),16     lambda: init_points_on_rectangle(width, height), [17         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")18     ])19for_name("van_der_poll_1_lin", width, height, arrows=[0.2, 0.6], linear=1) \20    (lambda t, y: van_der_poll(y, 1),21     lambda: init_points_on_rectangle(width, height, n=40), [22         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")23     ])24for_name("van_der_poll_1_both_far", width, height, arrows=[0.2, 0.6], linear=2) \25    (lambda t, y: van_der_poll(y, 1),26     lambda: init_points_on_rectangle(width, height, n=40), [27         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")28     ])29width /= 1030height /= 1031for_name("van_der_poll_1_both_close", width, height, arrows=[0.2, 0.6], linear=2) \32    (lambda t, y: van_der_poll(y, 1),33     lambda: init_points_on_rectangle(width, height, n=20), [34         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")35     ])36width, height = 10, 1037for_name("van_der_poll_2", width, height, arrows=[0.2, 0.6]) \38    (lambda t, y: van_der_poll(y, 2),39     lambda: init_points_on_rectangle(width, height), [40         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")41     ])42for_name("van_der_poll_2_lin", width, height, arrows=[0.2, 0.6], linear=1) \43    (lambda t, y: van_der_poll(y, 2),44     lambda: init_points_on_rectangle(width, height, n=40), [45         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")46     ])47for_name("van_der_poll_2_both_far", width, height, arrows=[0.2, 0.6], linear=2) \48    (lambda t, y: van_der_poll(y, 2),49     lambda: init_points_on_rectangle(width, height, n=40), [50         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")51     ])52width /= 1053height /= 1054for_name("van_der_poll_2_both_close", width, height, arrows=[0.2, 0.6], linear=2) \55    (lambda t, y: van_der_poll(y, 2),56     lambda: init_points_on_rectangle(width, height, n=20), [57         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")58     ])59width, height = 10, 1060a = 5 / 261for_name("van_der_poll_5", width, height, arrows=[0.2, 0.6]) \62    (lambda t, y: van_der_poll(y, a),63     lambda: init_points_on_rectangle(width, height), [64         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")65     ])66for_name("van_der_poll_5_lin", width, height, arrows=[0.2, 0.6], linear=1) \67    (lambda t, y: van_der_poll(y, a),68     lambda: init_points_on_rectangle(width, height, n=40), [69         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")70     ])71for_name("van_der_poll_5_both_far", width, height, arrows=[0.2, 0.6], linear=2) \72    (lambda t, y: van_der_poll(y, a),73     lambda: init_points_on_rectangle(width, height, n=40), [74         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")75     ])76width /= 1077height /= 1078for_name("van_der_poll_5_both_close", width, height, arrows=[0.2, 0.6], linear=2) \79    (lambda t, y: van_der_poll(y, a),80     lambda: init_points_on_rectangle(width, height, n=20), [81         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")82     ])83width, height = 10, 1084for_name("van_der_poll_0", width, height, arrows=[0.1, 0.2]) \85    (lambda t, y: van_der_poll(y, 0),86     lambda: init_points_on_rectangle(width, height))87for_name("van_der_poll_0_lin", width, height, arrows=[0.2, 0.6], linear=1) \88    (lambda t, y: van_der_poll(y, 0),89     lambda: init_points_on_rectangle(width, height, n=40))90for_name("van_der_poll_0_both_far", width, height, arrows=[0.2, 0.6], linear=2) \91    (lambda t, y: van_der_poll(y, 0),92     lambda: init_points_on_rectangle(width, height, n=40))93width /= 1094height /= 1095for_name("van_der_poll_0_both_close", width, height, arrows=[0.2, 0.6], linear=2) \96    (lambda t, y: van_der_poll(y, 0),97     lambda: init_points_on_rectangle(width, height, n=20))98width, height = 10, 1099for_name("van_der_poll_0_5", width, height, arrows=[0.2, 0.6]) \100    (lambda t, y: van_der_poll(y, 0.5),101     lambda: init_points_on_rectangle(width, height), [102         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")103     ])104for_name("van_der_poll_0_5_lin", width, height, arrows=[0.2, 0.6], linear=1) \105    (lambda t, y: van_der_poll(y, 0.5),106     lambda: init_points_on_rectangle(width, height, n=40), [107         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")108     ])109for_name("van_der_poll_0_5_both_far", width, height, arrows=[0.2, 0.6], linear=2) \110    (lambda t, y: van_der_poll(y, 0.5),111     lambda: init_points_on_rectangle(width, height, n=40), [112         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")113     ])114width /= 10115height /= 10116for_name("van_der_poll_0_5_both_close", width, height, arrows=[0.2, 0.6], linear=2) \117    (lambda t, y: van_der_poll(y, 0.5),118     lambda: init_points_on_rectangle(width, height, n=20), [119         lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")120     ])121temp = lambda x: 0.02517517 * x ** 3 + 0.23480313 * x ** 2 - 0.93830795 * x - 4.47556726 if -8 < x < 1 else -255 * x - 6122x = np.linspace(-20, 20, 300)123right = lambda x: temp(x - 2 * np.pi)124more_right = lambda x: right(x - 2 * np.pi)125middle = lambda x: right(x + 2 * np.pi)126left = lambda x: middle(x + 2 * np.pi)127left = np.array(list(map(left, x)))128middle = np.array(list(map(middle, x)))129more_right = np.array(list(map(more_right, x)))130right = np.array(list(map(right, x)))131height, width = 10, 20132for_name("pendulum_1", 20, 10, arrows=[0.2, 0.6]) \133    (lambda t, y: pendulum(y, 1, 1),134     lambda: init_points_on_rectangle(20, 10, n=100),135     [lambda: plt.fill_between(x, left, -height / 2 * np.ones(len(x)),136                               where=left > -height / 2,137                               facecolor='red', alpha=0.1),138      lambda: plt.fill_between(x, more_right, height / 2 * np.ones(len(x)),139                               where=right < height / 2,140                               facecolor='orange', alpha=0.1),141      lambda: plt.fill_between(x, more_right, right,142                               where=right < more_right / 2,143                               facecolor='green', alpha=0.1),144      lambda: plt.fill_between(x, left, middle,145                               where=left < middle,146                               facecolor='blue', alpha=0.1),147      lambda: plt.fill_between(x, middle, right,148                               where=left < right,149                               facecolor='yellow', alpha=0.1),150      lambda: plt.plot([-2 * np.pi, 0, 2 * np.pi], np.zeros(3), 'ro', label="Punkty rÃ³wnowagi asymptotycznie stabilne")151      ])152for_name("pendulum_1_lin", width, height, arrows=[0.2, 0.6], linear=1) \153    (lambda t, y: pendulum(y, 1, 1),154     lambda: init_points_on_rectangle(width, height, n=100),155     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])156for_name("pendulum_1_both_far", width, height, arrows=[0.2, 0.6], linear=2) \157    (lambda t, y: pendulum(y, 1, 1),158     lambda: init_points_on_rectangle(width, height, n=100),159     [lambda: plt.plot([-2 * np.pi, 0, 2 * np.pi], np.zeros(3), 'ro',160                       label="Punkty rÃ³wnowagi asymptotycznie stabilne")])161width /= 10162height /= 10163for_name("pendulum_1_both_close", width, height, arrows=[0.2, 0.6], linear=2) \164    (lambda t, y: pendulum(y, 1, 1),165     lambda: init_points_on_rectangle(width, height, n=20),166     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])167temp = lambda x: -2.267609 * x - 6.77998446168x = np.linspace(-20, 20, 300)169right = lambda x: temp(x - 2 * np.pi)170more_right = lambda x: right(x - 2 * np.pi)171middle = lambda x: right(x + 2 * np.pi)172left = lambda x: middle(x + 2 * np.pi)173left = np.array(list(map(left, x)))174middle = np.array(list(map(middle, x)))175more_right = np.array(list(map(more_right, x)))176right = np.array(list(map(right, x)))177height, width = 10, 20178for_name("pendulum_2", width, height, arrows=[0.2, 0.6]) \179    (lambda t, y: pendulum(y, 1, 2),180     lambda: init_points_on_rectangle(20, 10, n=100),181     [lambda: plt.fill_between(x, left, -height / 2 * np.ones(len(x)),182                               where=left > -height / 2,183                               facecolor='red', alpha=0.1),184      lambda: plt.fill_between(x, more_right, height / 2 * np.ones(len(x)),185                               where=right < height / 2,186                               facecolor='orange', alpha=0.1),187      lambda: plt.fill_between(x, more_right, right,188                               where=right < more_right / 2,189                               facecolor='green', alpha=0.1),190      lambda: plt.fill_between(x, left, middle,191                               where=left < middle,192                               facecolor='blue', alpha=0.1),193      lambda: plt.fill_between(x, middle, right,194                               where=left < right,195                               facecolor='yellow', alpha=0.1),196      lambda: plt.plot([-2 * np.pi, 0, 2 * np.pi], np.zeros(3), 'ro', label="Punkty rÃ³wnowagi asymptotycznie stabilne")197      ])198for_name("pendulum_2_lin", width, height, arrows=[0.2, 0.6], linear=1) \199    (lambda t, y: pendulum(y, 1, 2),200     lambda: init_points_on_rectangle(width, height, n=100),201     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])202for_name("pendulum_2_both_far", width, height, arrows=[0.2, 0.6], linear=2) \203    (lambda t, y: pendulum(y, 1, 2),204     lambda: init_points_on_rectangle(width, height, n=100),205     [lambda: plt.plot([-2 * np.pi, 0, 2 * np.pi], np.zeros(3), 'ro',206                       label="Punkty rÃ³wnowagi asymptotycznie stabilne")])207width /= 10208height /= 10209for_name("pendulum_2_both_close", width, height, arrows=[0.2, 0.6], linear=2) \210    (lambda t, y: pendulum(y, 1, 2),211     lambda: init_points_on_rectangle(width, height, n=20),212     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])213for_name("pendulum_3", 20, 10, arrows=[0.2, 0.6]) \214    (lambda t, y: pendulum(y, 4, 0),215     lambda: corner_case_dumping_init_points(20, 10))216x = np.linspace(-20, 20, 300)217right = lambda x: -3.26072184 * x + 10.24415909218more_right = lambda x: right(x - 2 * np.pi)219middle = lambda x: right(x + 2 * np.pi)220left = lambda x: middle(x + 2 * np.pi)221left = np.array(list(map(left, x)))222middle = np.array(list(map(middle, x)))223more_right = np.array(list(map(more_right, x)))224right = np.array(list(map(right, x)))225height, width = 10, 20226for_name("pendulum_4", width, height, arrows=[0.2, 0.6]) \227    (lambda t, y: pendulum(y, 1, 5 / 2),228     lambda: init_points_on_rectangle(width, height, 80),229     [lambda: plt.fill_between(x, left, -height / 2 * np.ones(len(x)),230                               where=left > -height / 2,231                               facecolor='red', alpha=0.1),232      lambda: plt.fill_between(x, more_right, height / 2 * np.ones(len(x)),233                               where=right < height / 2,234                               facecolor='orange', alpha=0.1),235      lambda: plt.fill_between(x, more_right, right,236                               where=right < more_right / 2,237                               facecolor='green', alpha=0.1),238      lambda: plt.fill_between(x, left, middle,239                               where=left < middle,240                               facecolor='blue', alpha=0.1),241      lambda: plt.fill_between(x, middle, right,242                               where=left < right,243                               facecolor='yellow', alpha=0.1),244      lambda: plt.plot([-2 * np.pi, 0, 2 * np.pi], np.zeros(3), 'ro', label="Punkty rÃ³wnowagi asymptotycznie stabilne")245      ])246for_name("pendulum_4_lin", width, height, arrows=[0.2, 0.6], linear=1) \247    (lambda t, y: pendulum(y, 1, 5 / 2),248     lambda: init_points_on_rectangle(width, height, 80),249     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])250for_name("pendulum_4_both_far", width, height, arrows=[0.2, 0.6], linear=2) \251    (lambda t, y: pendulum(y, 1, 5 / 2),252     lambda: init_points_on_rectangle(20, 10, 80),253     [lambda: plt.plot([-2 * np.pi, 0, 2 * np.pi], np.zeros(3), 'ro',254                       label="Punkty rÃ³wnowagi asymptotycznie stabilne")])255for_name("pendulum_4_both_close", 2, 1, arrows=[0.2, 0.6], linear=2) \256    (lambda t, y: pendulum(y, 1, 5 / 2),257     lambda: init_points_on_rectangle(2, 1, 20),258     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])259for_name("mechanical_hard_1", 10, 10, arrows=[0.3, 0.6]) \260    (lambda t, y: mechanical_system(y, 1, 1, 1.5),261     lambda: init_points_on_rectangle(10, 10, n=30),262     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])263for_name("mechanical_hard_1_lin", 10, 10, arrows=[0.3, 0.6], linear=1) \264    (lambda t, y: mechanical_system(y, 1, 1, 1.5),265     lambda: init_points_on_rectangle(10, 10, n=30),266     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])267for_name("mechanical_hard_1_both_close", 1, 1, arrows=[0.3, 0.6], linear=2) \268    (lambda t, y: mechanical_system(y, 1, 1, 1.5),269     lambda: init_points_on_rectangle(1, 1, n=20),270     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])271for_name("mechanical_hard_2", 10, 10, arrows=[0.3, 0.6]) \272    (lambda t, y: mechanical_system(y, 2, 1, 1.5),273     lambda: init_points_on_rectangle(10, 10, n=30),274     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])275for_name("mechanical_hard_2_lin", 10, 10, arrows=[0.3, 0.6], linear=1) \276    (lambda t, y: mechanical_system(y, 2, 1, 1.5),277     lambda: init_points_on_rectangle(10, 10, n=30),278     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])279for_name("mechanical_hard_2_both_close", 1, 1, arrows=[0.3, 0.6], linear=2) \280    (lambda t, y: mechanical_system(y, 2, 1, 1.5),281     lambda: init_points_on_rectangle(1, 1, n=20),282     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])283for_name("mechanical_hard_3", 10, 10, arrows=[0.3, 0.6]) \284    (lambda t, y: mechanical_system(y, 5 / 2, 1, 1.5),285     lambda: init_points_on_rectangle(10, 10, n=30),286     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])287for_name("mechanical_hard_3_lin", 10, 10, arrows=[0.3, 0.6], linear=1) \288    (lambda t, y: mechanical_system(y, 5 / 2, 1, 1.5),289     lambda: init_points_on_rectangle(10, 10, n=30),290     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])291for_name("mechanical_hard_3_both_close", 1, 1, arrows=[0.3, 0.6], linear=2) \292    (lambda t, y: mechanical_system(y, 5 / 2, 1, 1.5),293     lambda: init_points_on_rectangle(1, 1, n=20),294     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])295width, height = 4, 4296x = np.linspace(-width / 2, width / 2)297lower_poly = lambda x: -0.13094286 * x ** 3 + 0.37710916 * x ** 2 - 1.08021611 * x - 1.1802789298upper_poly = lambda x: -lower_poly(-x)299upper_poly = np.array(list(map(upper_poly, x)))300lower_poly = np.array(list(map(lower_poly, x)))301for_name("mechanical_soft_1", width, height, arrows=[0.4, 0.6]) \302    (lambda t, y: mechanical_system(y, 1, 1, -1.5),303     lambda: special_init_for_negative_spring(),304     [lambda: plt.fill_between(x, lower_poly, -height / 2 * np.ones(len(x)),305                               where=lower_poly > -height / 2,306                               facecolor='red', alpha=0.1),307      lambda: plt.fill_between(x, upper_poly, height / 2 * np.ones(len(x)),308                               where=upper_poly < height / 2,309                               facecolor='red', alpha=0.1),310      lambda: plt.fill_between(x, lower_poly, upper_poly,311                               where=lower_poly < upper_poly,312                               facecolor='green', alpha=0.1),313      lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")314      ])315for_name("mechanical_soft_1_lin", width, height, arrows=[0.4, 0.6], linear=1) \316    (lambda t, y: mechanical_system(y, 1, 1, -1.5),317     lambda: init_points_on_rectangle(width, height),318     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])319for_name("mechanical_soft_1_both_close", width / 10, height / 10, arrows=[0.4, 0.6], linear=2) \320    (lambda t, y: mechanical_system(y, 1, 1, -1.5),321     lambda: init_points_on_rectangle(width / 10, height / 10, n=20),322     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])323width, height = 4, 4324x = np.linspace(-width / 2, width / 2)325lower_poly = lambda x: 0.01265222 * x ** 3 + 0.66256018 * x ** 2 - 1.87728598 * x - 1.96903007326upper_poly = lambda x: -lower_poly(-x)327upper_poly = np.array(list(map(upper_poly, x)))328lower_poly = np.array(list(map(lower_poly, x)))329for_name("mechanical_soft_2", width, height, arrows=[0.4, 0.6]) \330    (lambda t, y: mechanical_system(y, 2, 1, -1.5),331     lambda: special_init_for_negative_spring(),332     [lambda: plt.fill_between(x, lower_poly, -height / 2 * np.ones(len(x)),333                               where=lower_poly > -height / 2,334                               facecolor='red', alpha=0.1),335      lambda: plt.fill_between(x, upper_poly, height / 2 * np.ones(len(x)),336                               where=upper_poly < height / 2,337                               facecolor='red', alpha=0.1),338      lambda: plt.fill_between(x, lower_poly, upper_poly,339                               where=lower_poly < upper_poly,340                               facecolor='green', alpha=0.1),341      lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")342      ])343plt.show()344for_name("mechanical_soft_2_lin", width, height, arrows=[0.4, 0.6], linear=1) \345    (lambda t, y: mechanical_system(y, 2, 1, -1.5),346     lambda: init_points_on_rectangle(width, height),347     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])348for_name("mechanical_soft_2_both_close", width / 10, height / 10, arrows=[0.4, 0.6], linear=2) \349    (lambda t, y: mechanical_system(y, 2, 1, -1.5),350     lambda: init_points_on_rectangle(width / 10, height / 10, n=20),351     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])352width, height = 4, 4353x = np.linspace(-width / 2, width / 2)354lower_poly = lambda x: 0.80559558 * x ** 3 + 2.12435124 * x ** 2 - 1.53257783 * x - 2.17405905 if x < 0 else -50355upper_poly = lambda x: -lower_poly(-x)356upper_poly = np.array(list(map(upper_poly, x)))357lower_poly = np.array(list(map(lower_poly, x)))358for_name("mechanical_soft_3", width, height, arrows=[0.4, 0.6]) \359    (lambda t, y: mechanical_system(y, 5 / 2, 1, -1.5),360     lambda: special_init_for_negative_spring(),361     [lambda: plt.fill_between(x, lower_poly, -height / 2 * np.ones(len(x)),362                               where=lower_poly > -height / 2,363                               facecolor='red', alpha=0.1),364      lambda: plt.fill_between(x, upper_poly, height / 2 * np.ones(len(x)),365                               where=upper_poly < height / 2,366                               facecolor='red', alpha=0.1),367      lambda: plt.fill_between(x, lower_poly, upper_poly,368                               where=lower_poly < upper_poly,369                               facecolor='green', alpha=0.1),370      lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")371      ])372plt.show()373for_name("mechanical_soft_3_lin", width, height, arrows=[0.4, 0.6], linear=1) \374    (lambda t, y: mechanical_system(y, 5 / 2, 1, -1.5),375     lambda: init_points_on_rectangle(width, height),376     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])377for_name("mechanical_soft_3_both_close", width / 10, height / 10, arrows=[0.4, 0.6], linear=2) \378    (lambda t, y: mechanical_system(y, 5 / 2, 1, -1.5),379     lambda: init_points_on_rectangle(width / 10, height / 10, n=20),380     [lambda: plt.plot([0], [0], 'ro', label="Punkt rÃ³wnowagi asymptotycznie stabilny")])381tex_image_format = """382\\begin{figure}[H]383    \\centering384    \\def \\svgwidth{0.7\\columnwidth}385    \\input{%s.pdf_tex}386    \\caption{TODO}387\\end{figure}\\noindent388"""389with open('tex/temp.tex', mode='w') as temp_tex:390    for fileName in fileNames:391        call(['inkscape -D -z --file=tex/svg/' + fileName + '.svg' +...

models.py

Source:models.py

1from django.core.urlresolvers import reverse2from django.db import models3from billing.models import BillingProfile4ADDRESS_TYPES = (5    ('billing', 'Billing'),6    ('shipping', 'Shipping')7)8class Address(models.Model):9    billing_profile = models.ForeignKey(BillingProfile)10    name = models.CharField(max_length=120, null=True, blank=True, help_text='Shipping to? Who is it for?')11    nickname = models.CharField(max_length=120, null=True, blank=True, help_text='Internal Reference Nickname')12    address_type = models.CharField(max_length=120, choices=ADDRESS_TYPES)13    address_line_1 = models.CharField(max_length=120)14    address_line_2 = models.CharField(max_length=120, null=True, blank=True)15    country = models.CharField(max_length=120, default='Russia')16    city = models.CharField(max_length=120)17    region = models.CharField(max_length=120)18    postal_code = models.CharField(max_length=120)19    def __str__(self):20        if self.nickname:21            return str(self.nickname)22        return str(self.billing_profile)23    def get_absolute_url(self):24        return reverse('address-update', kwargs={'pk': self.pk})25    def get_short_address(self):26        for_name = self.name27        if self.nickname:28            for_name = f"{self.nickname} | {for_name}"29        return "{for_name} {line1}, {city}".format(30            for_name=for_name or '',31            line1=self.address_line_1,32            city=self.city33        )34    def get_address(self):35        return "{for_name}\n{line1}\n{line2}\n{city}\n{region}, {postal}\n{country}".format(36            for_name=self.name or "",37            line1=self.address_line_1,38            line2=self.address_line_2 or "",39            city=self.city,40            region=self.region,41            postal=self.postal_code,42            country=self.country...

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