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How to use test_5 method in Lemoncheesecake

Best Python code snippet using lemoncheesecake

postProcessing.py

Source:postProcessing.py

1import numpy as np2from pathlib import Path3from matplotlib import pyplot as plt4from collections import deque5from matplotlib.animation import FuncAnimation6import mpl_toolkits.mplot3d.art3d as art3d7from matplotlib.patches import Circle8import fym.logging as logging9from fym.utils import rot10def set_size(width_pt=245.7, fraction=1, subplots=(1,1)):11# def set_size(width_pt=155, fraction=1, subplots=(1,1)):12    fig_width_pt = width_pt * fraction13    inches_per_pt = 1 / 72.2714    # golden_ratio = (5**.5 - 1) / 215    golden_ratio = 3 / 416    fig_width_in = fig_width_pt * inches_per_pt17    # fig_height_in = fig_width_in * golden_ratio * (subplots[0] / subplots[1])18    fig_height_in = fig_width_in * golden_ratio19    return (fig_width_in, fig_height_in)20    21tex_fonts = {22    "text.usetex": True,23    "font.family": 'Times New Roman',24    "axes.labelsize": 6,25    "font.size": 6,26    "legend.fontsize": 6,27    "xtick.labelsize": 6,28    "ytick.labelsize": 6,29    "axes.grid": True,30}31plt.rcParams.update(tex_fonts)32def plot_TwoDimTwoPointMass(dir_save, data_path):33    env_data = logging.load(data_path)34    time = env_data['t']35    action = env_data['action']36    pos = env_data['plant']['pos'].squeeze()37    vel = env_data['plant']['vel'].squeeze()38    lyap_dot = env_data['lyap_dot']39    width = 14040    fig, ax = plt.subplots(1, 1, figsize=set_size(width_pt=width))41    ax.plot(pos[:,0], pos[:,1], 'r')42    ax.set_ylabel('Y [m]')43    ax.set_xlabel('X [m]')44    ax.set_title('Trajectory')45    fig.savefig(Path(dir_save, "trajectory.pdf"), bbox_inches='tight')46    plt.close('all')47    fig, ax = plt.subplots(2, 1, figsize=set_size(width_pt=width, subplots=(2,1)))48    ax[0].plot(time, pos[:,0], 'r')49    ax[0].set_ylabel("X [m]")50    ax[0].set_title("Position")51    ax[0].axes.xaxis.set_ticklabels([])52    ax[1].plot(time, pos[:,1], 'r')53    ax[1].set_ylabel("Y [m]")54    ax[1].set_xlabel("time [s]")55    fig.align_ylabels(ax)56    fig.savefig(Path(dir_save, "position.pdf"), bbox_inches='tight')57    plt.close('all')58    fig, ax = plt.subplots(2, 1, figsize=set_size(width_pt=155, subplots=(2,1)))59    ax[0].plot(time, vel[:,0], 'r')60    ax[0].set_ylabel("$V_x$ [m/s]")61    ax[0].set_title("Velocity")62    ax[0].axes.xaxis.set_ticklabels([])63    ax[1].plot(time, vel[:,1], 'r')64    ax[1].set_ylabel("$V_y$ [m/s]")65    ax[1].set_xlabel("time [s]")66    fig.align_ylabels(ax)67    fig.savefig(Path(dir_save, "velocity.pdf"), bbox_inches='tight')68    plt.close('all')69    fig, ax = plt.subplots(2, 1, figsize=set_size(width_pt=width, subplots=(2,1)))70    ax[0].plot(time, action[:,0])71    ax[0].set_ylabel("$a_x [m/s^2]$")72    ax[0].set_title("Acceleration")73    ax[0].axes.xaxis.set_ticklabels([])74    ax[1].plot(time, action[:,1], 'r')75    ax[1].set_ylabel("$a_y [m/s^2]$")76    ax[1].set_xlabel("time [s]")77    fig.align_ylabels(ax)78    fig.savefig(Path(dir_save, "acceleration.pdf"), bbox_inches='tight')79    plt.close('all')80    fig, ax = plt.subplots(1, 1, figsize=set_size(width_pt=width))81    ax.plot(time, lyap_dot, 'r')82    ax.set_ylabel(r'$\frac{dV}{dt}$')83    ax.set_xlabel('time [s]')84    ax.set_title('Time derivative of Lyapunov candidate function')85    fig.savefig(Path(dir_save, "lyap_dot.pdf"), bbox_inches='tight')86    plt.close('all')87def plot_compare():88    dir_save = Path('./ray_results/compare/')89    # Compare btw L1 and L290    pathes = [Path('./ray_results/PPO_2021-10-27_12-10-21/PPO_MyEnv_6bee6_00000_0_2021-10-27_12-10-21/checkpoint_001000/test_5/env_data.h5'),91              Path('./ray_results/PPO_2021-10-27_16-10-08/PPO_MyEnv_eb2e0_00000_0_2021-10-27_16-10-08/checkpoint_001000/test_5/env_data.h5')92              ]93    env_data = [logging.load(path) for path in pathes]94    time = env_data[0]['t']95    action = [data['action'] for data in env_data]96    pos = [data['plant']['pos'].squeeze() for data in env_data]97    vel = [data['plant']['vel'].squeeze() for data in env_data]98    width = 17099    fig, ax = plt.subplots(2, 1, figsize=set_size(width_pt=width, subplots=(2,1)))100    line1, = ax[0].plot(time, pos[0][:,0], 'r')101    line2, = ax[0].plot(time, pos[1][:,0], 'b--')102    ax[0].legend(handles=(line1, line2),103                 labels=('L-reward No.1', 'L-reward No.2'))104    ax[0].set_ylabel("X [m]")105    ax[0].set_title("Position")106    ax[0].axes.xaxis.set_ticklabels([])107    ax[1].plot(time, pos[0][:,1], 'r', time, pos[1][:,1], 'b--')108    ax[1].set_ylabel("Y [m]")109    ax[1].set_xlabel("time [s]")110    [ax[i].grid(True) for i in range(2)]111    fig.align_ylabels(ax)112    fig.savefig(Path(dir_save, "L1-2.pdf"), bbox_inches='tight')113    plt.close('all')114    # Compare btw L3 and L4115    pathes = [Path('./ray_results/PPO_2021-10-27_18-06-35/PPO_MyEnv_2fb91_00000_0_2021-10-27_18-06-35/checkpoint_001000/test_5/env_data.h5'),116              Path('./ray_results/PPO_2021-10-27_19-45-57/PPO_MyEnv_112a5_00000_0_2021-10-27_19-45-57/checkpoint_001000/test_5/env_data.h5')117              ]118    env_data = [logging.load(path) for path in pathes]119    time = env_data[0]['t']120    action = [data['action'] for data in env_data]121    pos = [data['plant']['pos'].squeeze() for data in env_data]122    vel = [data['plant']['vel'].squeeze() for data in env_data]123    fig, ax = plt.subplots(2, 1, figsize=set_size(width_pt=width, subplots=(2,1)))124    line1, = ax[0].plot(time, pos[0][:,0], 'r')125    line2, = ax[0].plot(time, pos[1][:,0], 'b--')126    ax[0].legend(handles=(line1, line2),127                 labels=('L-reward No.3', 'L-reward No.4'))128    ax[0].set_ylabel("X [m]")129    ax[0].set_title("Position")130    ax[0].axes.xaxis.set_ticklabels([])131    ax[1].plot(time, pos[0][:,1], 'r', time, pos[1][:,1], 'b--')132    ax[1].set_ylabel("Y [m]")133    ax[1].set_xlabel("time [s]")134    [ax[i].grid(True) for i in range(2)]135    fig.align_ylabels(ax)136    fig.savefig(Path(dir_save, "L3-4.pdf"), bbox_inches='tight')137    plt.close('all')138    # Compare btw L1 and EQL1139    pathes = [Path('./ray_results/PPO_2021-10-27_12-10-21/PPO_MyEnv_6bee6_00000_0_2021-10-27_12-10-21/checkpoint_001000/test_5/env_data.h5'),140              Path('./ray_results/PPO_2021-10-22_15-20-16/PPO_MyEnv_1f7a9_00000_0_2021-10-22_15-20-16/checkpoint_001000/test_5/env_data.h5')141              ]142    env_data = [logging.load(path) for path in pathes]143    time = env_data[0]['t']144    action = [data['action'] for data in env_data]145    pos = [data['plant']['pos'].squeeze() for data in env_data]146    vel = [data['plant']['vel'].squeeze() for data in env_data]147    fig, ax = plt.subplots(2, 1, figsize=set_size(width_pt=width, subplots=(2,1)))148    line1, = ax[0].plot(time, pos[0][:,0], 'r')149    line2, = ax[0].plot(time, pos[1][:,0], 'b--')150    ax[0].legend(handles=(line1, line2),151                 labels=('L-reward No.1', 'EQL-reward No.1'))152    ax[0].set_ylabel("X [m]")153    ax[0].set_title("Position")154    ax[0].axes.xaxis.set_ticklabels([])155    ax[1].plot(time, pos[0][:,1], 'r', time, pos[1][:,1], 'b--')156    ax[1].set_ylabel("Y [m]")157    ax[1].set_xlabel("time [s]")158    [ax[i].grid(True) for i in range(2)]159    fig.align_ylabels(ax)160    fig.savefig(Path(dir_save, "L1-EQL1.pdf"), bbox_inches='tight')161    plt.close('all')162    # Compare btw L3 and EQL2163    pathes = [Path('./ray_results/PPO_2021-10-27_18-06-35/PPO_MyEnv_2fb91_00000_0_2021-10-27_18-06-35/checkpoint_001000/test_5/env_data.h5'),164              Path('./ray_results/PPO_2021-10-31_01-29-23/PPO_MyEnv_8a59d_00000_0_2021-10-31_01-29-23/checkpoint_001000/test_5/env_data.h5')165              ]166    env_data = [logging.load(path) for path in pathes]167    time = env_data[0]['t']168    action = [data['action'] for data in env_data]169    pos = [data['plant']['pos'].squeeze() for data in env_data]170    vel = [data['plant']['vel'].squeeze() for data in env_data]171    fig, ax = plt.subplots(2, 1, figsize=set_size(width_pt=width, subplots=(2,1)))172    line1, = ax[0].plot(time, pos[0][:,0], 'r')173    line2, = ax[0].plot(time, pos[1][:,0], 'b--')174    ax[0].legend(handles=(line1, line2),175                 labels=('L-reward No.3', 'EQL-reward No.2'))176    ax[0].set_ylabel("X [m]")177    ax[0].set_title("Position")178    ax[0].axes.xaxis.set_ticklabels([])179    ax[1].plot(time, pos[0][:,1], 'r', time, pos[1][:,1], 'b--')180    ax[1].set_ylabel("Y [m]")181    ax[1].set_xlabel("time [s]")182    [ax[i].grid(True) for i in range(2)]183    fig.align_ylabels(ax)184    fig.savefig(Path(dir_save, "L3-EQL2.pdf"), bbox_inches='tight')185    plt.close('all')186def plot_compare2():187    dir_save = Path('./ray_results/compare/')188    # Compare btw L2norm189    pathes = [190        Path('./ray_results/PPO_2021-10-30_11-14-17/PPO_MyEnv_15c55_00000_0_2021-10-30_11-14-17/checkpoint_001000/test_5/env_data.h5'),191        Path('./ray_results/PPO_2021-10-30_04-39-15/PPO_MyEnv_e6a27_00000_0_2021-10-30_04-39-16/checkpoint_001000/test_5/env_data.h5'),192        Path('./ray_results/PPO_2021-10-30_17-48-39/PPO_MyEnv_2d837_00000_0_2021-10-30_17-48-39/checkpoint_001000/test_5/env_data.h5')193    ]194    env_data = [logging.load(path) for path in pathes]195    time = env_data[0]['t']196    action = [data['action'] for data in env_data]197    pos = [data['plant']['pos'].squeeze() for data in env_data]198    vel = [data['plant']['vel'].squeeze() for data in env_data]199    width = 170200    fig, ax = plt.subplots(2, 1, figsize=set_size(width_pt=width, subplots=(2,1)))201    line1, = ax[0].plot(time, pos[0][:,0], 'r')202    line2, = ax[0].plot(time, pos[1][:,0], 'b--')203    line3, = ax[0].plot(time, pos[2][:,0], 'g-.')204    ax[0].legend(handles=(line1, line2, line3),205                 labels=('N-reward No.1', 'N-reward No.2', 'N-reward No.3'))206    ax[0].set_ylabel("X [m]")207    ax[0].set_title("Position using N-reward")208    ax[0].set_ylim([-1, 10])209    ax[0].axes.xaxis.set_ticklabels([])210    ax[1].plot(time, pos[0][:,1], 'r', time, pos[1][:,1], 'b--', time, pos[2][:,1], 'g-.')211    ax[1].set_ylabel("Y [m]")212    ax[1].set_xlabel("time [s]")213    ax[1].set_ylim([-0.5, 5.5])214    [ax[i].grid(True) for i in range(2)]215    fig.align_ylabels(ax)216    fig.savefig(Path(dir_save, "N1-3.pdf"), bbox_inches='tight')217    plt.close('all')218    # Compare btw Q219    pathes = [220        Path('./ray_results/PPO_2021-10-29_00-16-02/PPO_MyEnv_f65c8_00000_0_2021-10-29_00-16-02/checkpoint_001000/test_5/env_data.h5'),221        Path('./ray_results/PPO_2021-10-30_19-14-30/PPO_MyEnv_2b983_00000_0_2021-10-30_19-14-30/checkpoint_001000/test_5/env_data.h5'),222        Path('./ray_results/PPO_2021-10-30_20-59-25/PPO_MyEnv_d4182_00000_0_2021-10-30_20-59-26/checkpoint_001000/test_5/env_data.h5')223    ]224    env_data = [logging.load(path) for path in pathes]225    time = env_data[0]['t']226    action = [data['action'] for data in env_data]227    pos = [data['plant']['pos'].squeeze() for data in env_data]228    vel = [data['plant']['vel'].squeeze() for data in env_data]229    fig, ax = plt.subplots(2, 1, figsize=set_size(width_pt=width, subplots=(2,1)))230    line1, = ax[0].plot(time, pos[0][:,0], 'r')231    line2, = ax[0].plot(time, pos[1][:,0], 'b--')232    line3, = ax[0].plot(time, pos[2][:,0], 'g-.')233    ax[0].legend(handles=(line1, line2, line3),234                 labels=('Q-reward No.1', 'Q-reward No.2', 'Q-reward No.3'))235    ax[0].set_ylabel("X [m]")236    ax[0].set_title("Position using Q-reward")237    ax[0].set_ylim([-10, 70])238    ax[0].axes.xaxis.set_ticklabels([])239    ax[1].plot(time, pos[0][:,1], 'r', time, pos[1][:,1], 'b--', time, pos[2][:,1], 'g-.')240    ax[1].set_ylabel("Y [m]")241    ax[1].set_xlabel("time [s]")242    ax[1].set_ylim([-20, 50])243    [ax[i].grid(True) for i in range(2)]244    fig.align_ylabels(ax)245    fig.savefig(Path(dir_save, "Q1-3.pdf"), bbox_inches='tight')246    plt.close('all')247    # Compare btw EQ248    pathes = [249        Path('./ray_results/PPO_2021-10-31_03-13-36/PPO_MyEnv_19739_00000_0_2021-10-31_03-13-36/checkpoint_001000/test_5/env_data.h5'),250        Path('./ray_results/PPO_2021-10-30_07-49-32/PPO_MyEnv_7ba2e_00000_0_2021-10-30_07-49-32/checkpoint_001000/test_5/env_data.h5'),251        Path('./ray_results/PPO_2021-10-31_08-35-38/PPO_MyEnv_16544_00000_0_2021-10-31_08-35-38/checkpoint_001000/test_5/env_data.h5')252    ]253    env_data = [logging.load(path) for path in pathes]254    time = env_data[0]['t']255    action = [data['action'] for data in env_data]256    pos = [data['plant']['pos'].squeeze() for data in env_data]257    vel = [data['plant']['vel'].squeeze() for data in env_data]258    fig, ax = plt.subplots(2, 1, figsize=set_size(width_pt=width, subplots=(2,1)))259    line1, = ax[0].plot(time, pos[0][:,0], 'r')260    line2, = ax[0].plot(time, pos[1][:,0], 'b--')261    line3, = ax[0].plot(time, pos[2][:,0], 'g-.')262    ax[0].legend(handles=(line1, line2, line3),263                 labels=('EQ-reward No.1', 'EQ-reward No.2', 'EQ-reward No.3'),264                 loc='upper center',265                 bbox_to_anchor=(0.42, -1.8),266                 ncol=3)267    ax[0].set_ylabel("X [m]")268    ax[0].set_title("Position using EQ-reward")269    ax[0].set_ylim([-1, 8])270    ax[0].axes.xaxis.set_ticklabels([])271    ax[1].plot(time, pos[0][:,1], 'r', time, pos[1][:,1], 'b--', time, pos[2][:,1], 'g-.')272    ax[1].set_ylabel("Y [m]")273    ax[1].set_xlabel("time [s]")274    ax[1].set_ylim([-1, 8])275    [ax[i].grid(True) for i in range(2)]276    fig.align_ylabels(ax)277    fig.savefig(Path(dir_save, "EQ1-3.pdf"), bbox_inches='tight')278    plt.close('all')279    # Compare btw N1, EQ2, L4280    pathes = [281        Path('./ray_results/PPO_2021-10-30_11-14-17/PPO_MyEnv_15c55_00000_0_2021-10-30_11-14-17/checkpoint_001000/test_5/env_data.h5'),282        Path('./ray_results/PPO_2021-10-30_07-49-32/PPO_MyEnv_7ba2e_00000_0_2021-10-30_07-49-32/checkpoint_001000/test_5/env_data.h5'),283        Path('./ray_results/PPO_2021-10-27_19-45-57/PPO_MyEnv_112a5_00000_0_2021-10-27_19-45-57/checkpoint_001000/test_5/env_data.h5')284    ]285    env_data = [logging.load(path) for path in pathes]286    time = env_data[0]['t']287    action = [data['action'] for data in env_data]288    pos = [data['plant']['pos'].squeeze() for data in env_data]289    vel = [data['plant']['vel'].squeeze() for data in env_data]290    width=150291    fig, ax = plt.subplots(2, 1, figsize=set_size(width_pt=width, subplots=(2,1)))292    line1, = ax[0].plot(time[1000:], pos[0][1000:,0], 'r')293    line2, = ax[0].plot(time[1000:], pos[1][1000:,0], 'b--')294    line3, = ax[0].plot(time[1000:], pos[2][1000:,0], 'g-.')295    ax[0].legend(handles=(line1, line2, line3),296                 labels=('N-reward No.1', 'EQ-reward No.2', 'L-reward No.4'),297                 loc='upper center',298                 bbox_to_anchor=(0.5, -1.8),299                 ncol=3)300    ax[0].set_ylabel("X [m]")301    ax[0].set_title("Position")302    ax[0].set_ylim([-0.1, 0.3])303    ax[0].axes.xaxis.set_ticklabels([])304    ax[1].plot(time[1000:], pos[0][1000:,1], 'r', time[1000:], pos[1][1000:,1], 'b--', time[1000:], pos[2][1000:,1], 'g-.')305    ax[1].set_ylabel("Y [m]")306    ax[1].set_xlabel("time [s]")307    ax[1].set_ylim([-0.5, 0.5])308    [ax[i].grid(True) for i in range(2)]309    fig.align_ylabels(ax)310    fig.savefig(Path(dir_save, "N1-EQ2-L4.pdf"), bbox_inches='tight')311    plt.close('all')312if __name__ == "__main__":313    # plot_compare()...

test_instrument.py

Source:test_instrument.py

1import pytest2from mamba_client.station import NetworkController, Instrument3from mamba_client.mock.mamba_server_mock import MambaServerMock4from mamba_client.station.exceptions import ParameterSetException5class TestClass:6    def test_parameter_init(self):7        MambaServerMock(port=34574)8        network_controller = NetworkController(port=34574)9        inst = Instrument(instrument_id='inst_1',10                          network_controller=network_controller)11        assert inst._id == 'inst_1'12        assert inst._network_controller is not None13        assert inst._parameters == {}14        inst.add_parameter(parameter_id='test_1')15        assert list(inst._parameters.keys()) == ['test_1']16        assert inst.test_1._parameter_id == 'test_1'17        assert inst.test_1._get is not None18        assert inst.test_1._get._parameter_id == 'inst_1_test_1'19        assert inst.test_1._set is not None20        assert inst.test_1._set._parameter_id == 'inst_1_test_1'21        inst.add_parameter(parameter_id='test_2',22                           get_alias='test_2_get',23                           set_alias='test_2_set')24        assert list(inst._parameters.keys()) == ['test_1', 'test_2']25        assert inst.test_2._parameter_id == 'test_2'26        assert inst.test_2._get is not None27        assert inst.test_2._get._parameter_id == 'test_2_get'28        assert inst.test_2._set is not None29        assert inst.test_2._set._parameter_id == 'test_2_set'30        inst.add_parameter(parameter_id='test_3', set_arg_1=1)31        assert list(inst._parameters.keys()) == ['test_1', 'test_2', 'test_3']32        assert inst.test_3._parameter_id == 'test_3'33        assert inst.test_3._get is not None34        assert inst.test_3._get._parameter_id == 'inst_1_test_3'35        assert inst.test_3._set is not None36        assert inst.test_3._set._parameter_id == 'inst_1_test_3'37        assert inst.test_3._set._arg_1 == 138        assert inst.test_3._set._arg_2 is None39        with pytest.raises(KeyError) as excinfo:40            inst.add_parameter(parameter_id='test_3')41        assert str(excinfo.value) == "'Duplicate parameter name test_3'"42        inst.add_get_parameter(parameter_id='test_4')43        assert list(inst._parameters.keys()) == [44            'test_1', 'test_2', 'test_3', 'test_4'45        ]46        assert inst.test_4._parameter_id == 'test_4'47        assert inst.test_4._get is not None48        assert inst.test_4._get._parameter_id == 'inst_1_test_4'49        assert inst.test_4._set is None50        inst.add_get_parameter(parameter_id='test_5', get_alias='test_5_get')51        assert list(inst._parameters.keys()) == [52            'test_1', 'test_2', 'test_3', 'test_4', 'test_5'53        ]54        assert inst.test_5._parameter_id == 'test_5'55        assert inst.test_5._get is not None56        assert inst.test_5._get._parameter_id == 'test_5_get'57        assert inst.test_5._set is None58        inst.add_set_parameter(parameter_id='test_6')59        assert list(inst._parameters.keys()) == [60            'test_1', 'test_2', 'test_3', 'test_4', 'test_5', 'test_6'61        ]62        assert inst.test_6._parameter_id == 'test_6'63        assert inst.test_6._set is not None64        assert inst.test_6._set._parameter_id == 'inst_1_test_6'65        assert inst.test_6._get is None66        inst.add_set_parameter(parameter_id='test_7',67                               set_alias='test_7_set',68                               set_arg_1=2)69        assert list(inst._parameters.keys()) == [70            'test_1', 'test_2', 'test_3', 'test_4', 'test_5', 'test_6',71            'test_7'72        ]73        assert inst.test_7._parameter_id == 'test_7'74        assert inst.test_7._set is not None75        assert inst.test_7._set._parameter_id == 'test_7_set'76        assert inst.test_7._get is None77        assert inst.test_7._set._arg_1 == 278        assert inst.test_7._set._arg_2 is None79        with pytest.raises(AttributeError) as excinfo:80            inst.test_881        assert str(excinfo.value) == 'inst_1 instrument has no property test_8'82        network_controller.close()83    def test_parameter_call(self):84        mock = MambaServerMock(port=34575)85        network_controller = NetworkController(port=34575)86        inst = Instrument(instrument_id='inst_1',87                          network_controller=network_controller)88        inst.add_parameter(parameter_id='test_1')89        assert mock._shared_memory['last_tc'] == 'tc_meta inst_1_test_1'90        assert mock._shared_memory[91            'last_tm'] == '> OK inst_1_test_1;1;test description'92        reply = inst.test_1.get()93        assert mock._shared_memory['last_tc'] == 'tm inst_1_test_1'94        assert '> OK inst_1_test_1;' in mock._shared_memory['last_tm']95        assert ';1;1;0;1' in mock._shared_memory['last_tm']96        assert reply == '1'97        inst.test_1.set(1)98        assert mock._shared_memory['last_tc'] == 'tc inst_1_test_1 "1"'99        assert mock._shared_memory['last_tm'] == '> OK inst_1_test_1'100        with pytest.raises(ParameterSetException) as excinfo:101            inst.test_1.set(1, 2)102        assert str(103            excinfo.value104        ) == 'inst_1_test_1 set - Wrong number of arguments. Expected: 1, Received: 2.'105        inst.add_parameter(parameter_id='test_2', set_arg_1=1)106        reply = inst.test_2.get()107        assert mock._shared_memory['last_tc'] == 'tm inst_1_test_2'108        assert '> OK inst_1_test_2;' in mock._shared_memory['last_tm']109        assert ';1;1;0;1' in mock._shared_memory['last_tm']110        assert reply == '1'111        inst.test_2.set()112        assert mock._shared_memory['last_tc'] == 'tc inst_1_test_2 "1"'113        assert mock._shared_memory['last_tm'] == '> OK inst_1_test_2'114        inst.test_2.set(2)115        assert mock._shared_memory['last_tc'] == 'tc inst_1_test_2 "2"'116        assert mock._shared_memory['last_tm'] == '> OK inst_1_test_2'117        inst.add_parameter(parameter_id='test_3', parameter_get_type='int')118        assert mock._shared_memory['last_tc'] == 'tc_meta inst_1_test_3'119        assert mock._shared_memory[120            'last_tm'] == '> OK inst_1_test_3;1;test description'121        reply = inst.test_3.get()122        assert mock._shared_memory['last_tc'] == 'tm inst_1_test_3'123        assert '> OK inst_1_test_3;' in mock._shared_memory['last_tm']124        assert ';1;1;0;1' in mock._shared_memory['last_tm']125        assert reply == 1...

models.py

Source:models.py

1# -*- coding: utf-8 -*-2# This file is auto-generated, don't edit it. Thanks.3from Tea.model import TeaModel4class Test1(TeaModel):5    """6    TestModel7    """8    def __init__(self, test=None, test_2=None, test_3=None, test_5=None, sts=None, a_sts=None):9        # test desc10        self.test = test  # type: str11        # modelçtest back comment12        # test2 desc13        self.test_2 = test_2  # type: str14        # modelçtest2 back comment15        # test3 desc16        self.test_3 = test_3  # type: list[list[str]]17        # test desc18        self.test_5 = test_5  # type: str19        # sts desc20        self.sts = sts  # type: str21        # asts desc22        self.a_sts = a_sts  # type: str23    def validate(self):24        self.validate_required(self.test, 'test')25        self.validate_required(self.test_2, 'test_2')26        self.validate_required(self.test_3, 'test_3')27        self.validate_required(self.test_5, 'test_5')28        self.validate_required(self.sts, 'sts')29        self.validate_required(self.a_sts, 'a_sts')30    def to_map(self):31        _map = super(Test1, self).to_map()32        if _map is not None:33            return _map34        result = dict()35        if self.test is not None:36            result['test'] = self.test37        if self.test_2 is not None:38            result['test2'] = self.test_239        if self.test_3 is not None:40            result['test3'] = self.test_341        if self.test_5 is not None:42            result['test5'] = self.test_543        if self.sts is not None:44            result['sts'] = self.sts45        if self.a_sts is not None:46            result['asts'] = self.a_sts47        return result48    def from_map(self, m=None):49        m = m or dict()50        if m.get('test') is not None:51            self.test = m.get('test')52        if m.get('test2') is not None:53            self.test_2 = m.get('test2')54        if m.get('test3') is not None:55            self.test_3 = m.get('test3')56        if m.get('test5') is not None:57            self.test_5 = m.get('test5')58        if m.get('sts') is not None:59            self.sts = m.get('sts')60        if m.get('asts') is not None:61            self.a_sts = m.get('asts')62        return self63class Test2(TeaModel):64    """65    TestModel266    """67    def __init__(self, test=None, test_2=None):68        # modelçtest front comment69        # test desc70        self.test = test  # type: str71        # modelçtest front comment72        # test2 desc73        self.test_2 = test_2  # type: str74    def validate(self):75        self.validate_required(self.test, 'test')76        self.validate_required(self.test_2, 'test_2')77    def to_map(self):78        _map = super(Test2, self).to_map()79        if _map is not None:80            return _map81        result = dict()82        if self.test is not None:83            result['test'] = self.test84        if self.test_2 is not None:85            result['test2'] = self.test_286        return result87    def from_map(self, m=None):88        m = m or dict()89        if m.get('test') is not None:90            self.test = m.get('test')91        if m.get('test2') is not None:92            self.test_2 = m.get('test2')93        return self94class Test3(TeaModel):95    """96    TestModel397    """98    def __init__(self, test=None, test_1=None):99        # modelçtest front comment100        # test desc101        self.test = test  # type: str102        # empty comment1103        # empy comment2104        # test desc105        self.test_1 = test_1  # type: str106        # modelçtest back comment107    def validate(self):108        self.validate_required(self.test, 'test')109        self.validate_required(self.test_1, 'test_1')110    def to_map(self):111        _map = super(Test3, self).to_map()112        if _map is not None:113            return _map114        result = dict()115        if self.test is not None:116            result['test'] = self.test117        if self.test_1 is not None:118            result['test1'] = self.test_1119        return result120    def from_map(self, m=None):121        m = m or dict()122        if m.get('test') is not None:123            self.test = m.get('test')124        if m.get('test1') is not None:125            self.test_1 = m.get('test1')...

knn_ocr.py

Source:knn_ocr.py

1# -*- coding: utf-8 -*-2"""3Created on Sun May 26 21:44:27 20194@author: dell5"""6#   digits  å·æ5000ä¸ªæåæ°åï¼æ¯ä¸ªæ°åæ500ç§ï¼æ¯ä¸ªæ°åæ¯ä¸ä¸ª20x20çå°å¾ï¼æä»¥ç¬¬ä¸æ¥å°±æ¯å°è¿ä¸ªå¾ååéä¸º7#5000ä¸ªä¸åçæ°åï¼æä»¬å¨æååï¼æ¯ä¸ä¸ªæ°åçå¾åéææä¸è¡å«æ400ä¸ªåç´ ç¹çæ°å¾åãè¿å°±æ¯æä»¬çç¹å¾éãæä»¬ä½¿ç¨8#æ¯ä¸ªæ°åçå250ä¸ªä½ä¸ºè®ç»éï¼å250ä¸ªä½ä¸ºæµè¯éï¼è®©æä»¬ååå¤ä¸ä¸9import numpy as np10import cv211from matplotlib import pyplot as plt12#img=cv2.imread('digits.png')13#gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)14#15#cells=[np.hsplit(row,100) for row in np.vsplit(gray,50)]16##pic_1=cells[49][1]#ç¬¬ä¸ä½ã0-49ãå¯¹åºæ°å0-9  eg 0 ->0  49->917##cv2.imshow('1',pic_1)18#19#x=np.array(cells)  #è½¬ä¸ºæ°ç» ï¼50ï¼100ï¼20ï¼20ï¼20## åå¤è®ç»æ°æ®åæµè¯æ°æ®21#train=x[:,:50].reshape(-1,400).astype(np.float32)  #ï¼2500ï¼400ï¼  æ¯250ä¸ªæ¯ä¸ç±»æ°å22#test=x[:,50:100].reshape(-1,400).astype(np.float32)23##åå»ºæ ç¾24#k=np.arange(10)25#train_labels=np.repeat(k,250)[:,np.newaxis]###################ä¸ä¸ªä¸éçç¨æ³ï¼å°ä¸ç»´æ°ç»ï¼é¿åº¦ä¸ºaï¼åæ2ç»´[:,np.newaxis]æ¯åæï¼a,1ï¼;26##[np.newaxis,:]æ¯åæ(1,a)   np.repeat æ¯éå¤æ°å eg (1,2,3) (1,1,2,2,3,3)   27#test_labels=train_labels.copy()  #ï¼2500ï¼1ï¼28#29#knn=cv2.ml.KNearest_create()30#knn.train(train,cv2.ml.ROW_SAMPLE,train_labels) 31#ret,result,neighbours,dist=knn.findNearest(test,k=5)  #result=(2500,1)32##ç¡®è®¤åç¡®åº¦33#matchs=result==test_labels #match ä¸ºboolé34#correct=np.count_nonzero(matchs) #ç»è®¡ä¸ä¸º0çä¸ªæ°35#accuracy=correct*100/result.size36#print(accuracy)37##æµè¯èªå·±çæ°æ®38#test_5=cv2.imread('5.png',0)39#test_5=cv2.resize(test_5,(20,20)).reshape(-1,400).astype(np.float32)40##cv2.imshow('5',test_5)41#ret_1,result_1,neighbours_1,dist_1=knn.findNearest(test_5,k=5)  42# =============================================================================43# #ä¿çè®ç»å¥½çåç±»å¨44# =============================================================================45#np.savez('knn_data.npz',train=train,train_labels=train_labels)46#now  load data47with np.load('knn_data.npz')  as data:48    print(data.files)49    train=data['train']50    train_labels=data['train_labels']51test_5=cv2.imread('5.png',0)52test_5=cv2.resize(test_5,(20,20)).reshape(-1,400).astype(np.float32)53#cv2.imshow('5',test_5)54knn=cv2.ml.KNearest_create()55knn.train(train,cv2.ml.ROW_SAMPLE,train_labels) 56#ret,result,neighbours,dist=knn.findNearest(test,k=5)  #result=(2500,1)...

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