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How to use test_sample_collection method in molecule

Best Python code snippet using molecule_python

test_lab_test.py

Source:test_lab_test.py

...32		lab_test.descriptive_test_items[0].result_value = 1233		lab_test.descriptive_test_items[2].result_value = 134		lab_test.save()35		self.assertRaises(frappe.ValidationError, lab_test.submit)36	def test_sample_collection(self):37		frappe.db.set_value('Healthcare Settings', 'Healthcare Settings', 'create_sample_collection_for_lab_test', 1)38		lab_template = create_lab_test_template()39		lab_test = create_lab_test(lab_template)40		lab_test.descriptive_test_items[0].result_value = 1241		lab_test.descriptive_test_items[1].result_value = 142		lab_test.descriptive_test_items[2].result_value = 2.343		lab_test.save()44		# check sample collection created45		self.assertTrue(frappe.db.exists('Sample Collection', {'sample': lab_template.sample}))46		frappe.db.set_value('Healthcare Settings', 'Healthcare Settings', 'create_sample_collection_for_lab_test', 0)47		lab_test = create_lab_test(lab_template)48		lab_test.descriptive_test_items[0].result_value = 1249		lab_test.descriptive_test_items[1].result_value = 150		lab_test.descriptive_test_items[2].result_value = 2.3...

lane_dataset_builder.py

Source:lane_dataset_builder.py

1import os2import time3import eyes4import controller as gamepad5import motor6import random7# Root path for train and test data8root = "images/lanes/"9# Controls motors based on curr_input and returns drive state10def controller_input_handler(curr_input, motor_control: motor):11    # If the start button is pressed:12    # Stop the training session and turn off motors13    if curr_input == "START":14        if motor_control.motor_state is True:15            motor_control.toggle_motor()16        return False    # Ends the training loop17    # Drive motor using curr_input18    if curr_input == "A":19        motor_control.toggle_motor()20    if curr_input == "UP":21        motor_control.forward()22    if curr_input == "DOWN":23        motor_control.backward()24    if curr_input == "LEFT":25        motor_control.turn_left()26    if curr_input == "RIGHT":27        motor_control.turn_right()28    if curr_input == "LEFT TRIGGER":29        motor_control.rotate_left()30    if curr_input == "RIGHT TRIGGER":31        motor_control.rotate_right()32    drive_label = motor_control.get_drive_state_label()33    # DEBUG OUTPUT34    if curr_input is not None:35        print(f'{curr_input}\t--->\t{drive_label}')36    return drive_label37# Creates motor state directories if missing38def data_dir_check(path):39    if not os.path.exists(path):40        os.makedirs(path, exist_ok=True)41# Collects CNN training data:42# User input is read in a loop which controls the motor.43# The current drive state will be saved to the corresponding folder44# which can then be used to train the CNNmodel.45def collect_train_data(test_sample_collection=False):46    # Initialize movement counter47    drive_state_counter = {48        "stopped": 0, "forward": 0, "backward": 0,49        "left": 0, "right": 0,50        "rotate_right": 0, "rotate_left": 051    }52    motor_state = True53    # If test_sample_collection is enabled (TRUE),54    # ask for user input to determine what percent55    # of sampled data should be saved to the test data set56    if test_sample_collection:57        sample_percent = int(input("\nEnter percent of samples to save for testing pool:\n>> "))58    else:59        sample_percent = 060    # Initialize input device61    input_device = gamepad.Controller(3)62    # Initialize motor controller63    driver = motor.MotorControl()64    driver.set_speed(1)     # Set drive speed to MIN65    # Initialize train/test data path66    train_save_path = os.path.join(root, 'train')67    test_save_path = os.path.join(root, 'test')68    save_path = train_save_path     # Default save path69    data_dir_check(train_save_path)70    data_dir_check(train_save_path)71    # Initialize camera controller72    camera = eyes.Eyes()73    start_time = time.time()74    milli_sec_counter = time.time_ns()75    try:76        camera.camera_warm_up()77        while motor_state:78            curr_input = input_device.read_command()79            motor_state = controller_input_handler(curr_input, driver)80            if (motor_state != "stopped") \81                    and (motor_state != "backward") \82                    and (motor_state is not False):83                # If sampling enabled by user:84                # swap directory path between test and train85                # within desired percentage (sample_percent).86                if test_sample_collection:87                    if random.randrange(0, 100 + 1) < sample_percent:88                        save_path = test_save_path89                    else:90                        save_path = train_save_path91                # Set image name and path92                img_name = str(time.time_ns()) + ".png"93                img_path = os.path.join(save_path, motor_state)94                img_save_path = os.path.join(img_path, img_name)95                # Add delay between image captures to avoid data flooding96                # Save a forward image once every half second (1ms == 1^(6)ns)97                if motor_state == "forward":98                    if (time.time_ns() - milli_sec_counter) > 500000000:99                        camera.get_thresh_img()100                        data_dir_check(img_path)101                        camera.save_thresh_img(img_save_path)102                        drive_state_counter[motor_state] += 1103                        milli_sec_counter = time.time_ns()104                else:105                    # Save an image once every quarter second106                    if (time.time_ns() - milli_sec_counter) > 100000000:107                        camera.get_thresh_img()108                        data_dir_check(img_path)109                        camera.save_thresh_img(img_save_path)110                        drive_state_counter[motor_state] += 1111                        milli_sec_counter = time.time_ns()112    except KeyboardInterrupt:113        print("\nInterrupt detected. Operation stopped.\n")114    except TypeError as e:115        print("\nTypeError:", e)116    except AssertionError as e:117        print(e)118    # Run device destructors119    motor.destroy()120    input_device.kill_device()121    camera.destroy()122    # Print elapsed train time123    print(f'\nCompleted Data Collection.')124    print(f'\tElapsed Time: {round(((time.time()-start_time)/60), 2)} minutes')125    # Print tally of saved images from session126    print('\n-----------------')127    for drive_state_lbl, count in drive_state_counter.items():128        print(f'{drive_state_lbl}:', count)129    print('-----------------')130if __name__ == '__main__':131    # ### Collect Train Data132    # Ask user for test data sampling133    enable_sampling = input("\nEnable train data sampling (y/n)?\n>> ")134    if enable_sampling.lower() == 'yes' or enable_sampling.lower() == 'y':135        enable_sampling = True136    else:137        enable_sampling = False138    # Start train data collection...

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