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regression_linear_model.py

Source:regression_linear_model.py Github

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1#!/usr/bin/env python2# Regression Stuff3from sklearn.datasets import fetch_olivetti_faces4from sklearn.utils.validation import check_random_state5from sklearn.ensemble import ExtraTreesRegressor6from sklearn.neighbors import KNeighborsRegressor7from sklearn.linear_model import LinearRegression8from sklearn.linear_model import RidgeCV9from sklearn.linear_model import BayesianRidge10from sklearn.linear_model import Lasso11from sklearn.linear_model import TheilSenRegressor12# Python Stuff13import glob14import copy15import itertools16import numpy as np17import matplotlib.pyplot as plt18import math19# ROS Stuff20import actionlib21from actionlib import SimpleActionClient22from geometry_msgs.msg import Pose, PoseStamped, Quaternion, TransformStamped, \23 Point, PointStamped, Vector3, Transform24from interactive_markers.interactive_marker_server import InteractiveMarkerServer25from manipulation_msgs.srv import GraspPlanning, GraspPlanningRequest26from manipulation_msgs.msg import GraspPlanningAction, GraspPlanningGoal27import moveit_commander28from moveit_msgs.msg import AttachedCollisionObject, CollisionObject, PlanningScene, PlanningSceneComponents29from moveit_msgs.srv import GetPlanningScene, GetPositionFK, GetPositionIK30from pr2_controllers_msgs.msg import JointTrajectoryAction, JointTrajectoryGoal31import rosbag32import rospy33from sensor_msgs.msg import PointCloud234import sensor_msgs.point_cloud2 as pc235from shape_msgs.msg import SolidPrimitive36from std_msgs.msg import Header37import tf38from trajectory_msgs.msg import JointTrajectory, JointTrajectoryPoint39from visualization_msgs.msg import Marker40# Local Stuff41from joint_states_listener.srv import ReturnJointStates42from pr2_pick_contest.msg import Trial, Record43from pr2_pick_contest.srv import GetItems, SetItems, GetTargetItems44from pr2_pick_contest.srv import LookupItem45from pr2_pick_main import publish_gripper, publish_bounding_box, publish_cluster46from pr2_pick_perception.msg import Object, BoundingBox47from pr2_pick_perception.srv import CropShelf, CropShelfResponse, \48 DeleteStaticTransform, FindCentroid, LocalizeShelf, LocalizeShelfResponse, \49 SetStaticTransform, PlanarPrincipalComponents, GetItemDescriptor, ClassifyTargetItem50from pr2_gripper_grasp_planner_cluster.srv import SetPointClusterGraspParams, SetPointClusterGraspParamsRequest51from object_recognition_clusters.srv import FindClusterBoundingBox, FindClusterBoundingBoxRequest52class TrialAnalyser:53 def __init__(self):54 self._x_before = {}55 self._y_before = {}56 self._yaw_before = {}57 self._x_after = {}58 self._y_after = {}59 self._yaw_after = {}60 self.markers = rospy.Publisher('pr2_pick_visualization', Marker)61 def get_bounding_box_diff(self, trial):62 action = trial.params.action.data63 #rospy.loginfo("Action: " + str(action))64 if not self._x_before.has_key(action):65 self._x_before[action] = []66 self._y_before[action] = []67 self._yaw_before[action] = []68 self._x_after[action] = []69 self._y_after[action] = []70 self._yaw_after[action] = []71 before_box = trial.before.boundingbox72 after_box = trial.after.boundingbox73 self._x_after[action].append(after_box.pose.pose.position.x)74 self._x_before[action].append(before_box.pose.pose.position.x)75 self._y_after[action].append(after_box.pose.pose.position.y)76 self._y_before[action].append(before_box.pose.pose.position.y)77 q_before = (78 before_box.pose.pose.orientation.x,79 before_box.pose.pose.orientation.y,80 before_box.pose.pose.orientation.z,81 before_box.pose.pose.orientation.w)82 q_after = (83 after_box.pose.pose.orientation.x,84 after_box.pose.pose.orientation.y,85 after_box.pose.pose.orientation.z,86 after_box.pose.pose.orientation.w)87 euler_before = tf.transformations.euler_from_quaternion(q_before)88 euler_after = tf.transformations.euler_from_quaternion(q_after)89 yaw_before = euler_before[2]90 yaw_after = euler_after[2]91 yaw_diff = yaw_after - yaw_before92 # rospy.loginfo("Before: {}".format(before_box))93 # rospy.loginfo("Before yaw: {}".format(yaw_before*180/math.pi))94 # rospy.loginfo("After: {}".format(after_box))95 # rospy.loginfo("After yaw: {}".format(yaw_after*180/math.pi))96 if (math.fabs(after_box.dimensions.x - before_box.dimensions.x) > 0.02) and (math.fabs(after_box.dimensions.y - before_box.dimensions.y) > 0.02):97 rospy.loginfo("Wrong axes")98 yaw_before -= math.pi/2.099 100 if yaw_before < 0:101 if (math.fabs(yaw_after - (yaw_before + math.pi))) < (math.fabs(yaw_after - yaw_before)):102 rospy.loginfo("Flipped")103 yaw_before = (yaw_before + math.pi)104 else:105 if (math.fabs(yaw_after - (yaw_before - math.pi))) < (math.fabs(yaw_after - yaw_before)):106 rospy.loginfo("Flipped")107 yaw_before = (yaw_before - math.pi)108 rospy.loginfo("Yaw diff: {}".format(yaw_diff*180/math.pi))109 self._yaw_before[action].append(copy.copy(yaw_before))110 self._yaw_after[action].append(copy.copy(yaw_after))111 def get_test_data(self, trial):112 action = trial.params.action.data113 #rospy.loginfo("Action: " + str(action))114 x_before = {}115 y_before = {}116 _yaw_before = {}117 x_after = {}118 y_after = {}119 _yaw_after = {}120 if not x_before.has_key(action):121 x_before[action] = []122 y_before[action] = []123 _yaw_before[action] = []124 x_after[action] = []125 y_after[action] = []126 _yaw_after[action] = []127 before_box = trial.before.boundingbox128 after_box = trial.after.boundingbox129 x_after[action].append(after_box.pose.pose.position.x)130 x_before[action].append(before_box.pose.pose.position.x)131 y_after[action].append(after_box.pose.pose.position.y)132 y_before[action].append(before_box.pose.pose.position.y)133 q_before = (134 before_box.pose.pose.orientation.x,135 before_box.pose.pose.orientation.y,136 before_box.pose.pose.orientation.z,137 before_box.pose.pose.orientation.w)138 q_after = (139 after_box.pose.pose.orientation.x,140 after_box.pose.pose.orientation.y,141 after_box.pose.pose.orientation.z,142 after_box.pose.pose.orientation.w)143 euler_before = tf.transformations.euler_from_quaternion(q_before)144 euler_after = tf.transformations.euler_from_quaternion(q_after)145 yaw_before = euler_before[2]146 yaw_after = euler_after[2]147 yaw_diff = yaw_after - yaw_before148 # rospy.loginfo("Before: {}".format(before_box))149 # rospy.loginfo("Before yaw: {}".format(yaw_before*180/math.pi))150 # rospy.loginfo("After: {}".format(after_box))151 # rospy.loginfo("After yaw: {}".format(yaw_after*180/math.pi))152 if (math.fabs(after_box.dimensions.x - before_box.dimensions.x) > 0.02) and (math.fabs(after_box.dimensions.y - before_box.dimensions.y) > 0.02):153 rospy.loginfo("Wrong axes")154 yaw_before -= math.pi/2.0155 156 if yaw_before < 0:157 if (math.fabs(yaw_after - (yaw_before + math.pi))) < (math.fabs(yaw_after - yaw_before)):158 rospy.loginfo("Flipped")159 yaw_before = (yaw_before + math.pi)160 else:161 if (math.fabs(yaw_after - (yaw_before - math.pi))) < (math.fabs(yaw_after - yaw_before)):162 rospy.loginfo("Flipped")163 yaw_before = (yaw_before - math.pi)164 rospy.loginfo("Yaw diff: {}".format(yaw_diff*180/math.pi))165 _yaw_before[action].append(copy.copy(yaw_before))166 _yaw_after[action].append(copy.copy(yaw_after))167 return x_before, x_after, y_before, y_after, _yaw_before, _yaw_after168 # self._action_names.append(trial.params.action)169 # self._item_names.append(trial.params.item_name) 170 def estimate(self):171 # plot x_diffs172 file_name = raw_input("Please enter the path to a test bag file: ")173 174 # rospy.loginfo("Current file: " + file_name)175 bag = rosbag.Bag(file_name)176 trial = None177 for topic, trial_msg, t in bag.read_messages():178 _x_before, _x_after, _y_before, _y_after, _yaw_before, _yaw_after = self.get_test_data(trial_msg)179 trial = trial_msg180 bag.close()181 action = _x_before.keys()[0]182 train_x_before = self._x_before[action]183 train_y_before = self._y_before[action]184 train_yaw_before = self._yaw_before[action]185 train_x_after = self._x_after[action]186 train_y_after = self._y_after[action]187 train_yaw_after = self._yaw_after[action]188 test_x_before = _x_before[action]189 test_y_before = _y_before[action]190 test_yaw_before = _yaw_before[action]191 test_x_after = _x_after[action]192 test_y_after = _y_after[action]193 test_yaw_after = _yaw_after[action]194 rospy.loginfo("Train x before: {}".format(train_x_before))195 rospy.loginfo("Train y before: {}".format(train_y_before))196 rospy.loginfo("Train yaw before: {}".format(train_yaw_before))197 rospy.loginfo("Test x before: {}".format(test_x_before))198 rospy.loginfo("Test y before: {}".format(test_y_before))199 rospy.loginfo("Test yaw before: {}".format(test_yaw_before))200 rospy.loginfo("Test x after: {}".format(test_x_after))201 rospy.loginfo("Test y after: {}".format(test_y_after))202 rospy.loginfo("Test yaw after: {}".format(test_yaw_after))203 # # Load the faces datasets204 # data = fetch_olivetti_faces()205 # targets = data.target206 # data = data.images.reshape((len(data.images), -1))207 # train = data[targets < 30]208 # test = data[targets >= 30] # Test on independent people209 # # Test on a subset of people210 # n_faces = 5211 # rng = check_random_state(4)212 # face_ids = rng.randint(test.shape[0], size=(n_faces, ))213 # test = test[face_ids, :]214 # n_pixels = data.shape[1]215 # X_train = train[:, :np.ceil(0.5 * n_pixels)] # Upper half of the faces216 # y_train = train[:, np.floor(0.5 * n_pixels):] # Lower half of the faces217 # X_test = test[:, :np.ceil(0.5 * n_pixels)]218 # y_test = test[:, np.floor(0.5 * n_pixels):]219 # Fit estimators220 ESTIMATORS = {221 # "Extra trees": ExtraTreesRegressor(n_estimators=10, max_features=32,222 # random_state=0),223 # "K-nn": KNeighborsRegressor(),224 "Linear Regression": LinearRegression(),225 "Ridge": RidgeCV(),226 # "Bayesian Ridge": BayesianRidge(),227 # "Theil-Sen Regressor": TheilSenRegressor(),228 "Lasso": Lasso(),229 }230 y_test_predict = dict()231 for name, estimator in ESTIMATORS.items():232 estimator.fit(zip(train_x_before, train_y_before, train_yaw_before), zip(train_x_after, train_y_after, train_yaw_after))233 y_test_predict[name] = estimator.predict(zip(test_x_before, test_y_before, test_yaw_before))234 rospy.loginfo("Predictions: {}".format(y_test_predict))235 rospy.loginfo("Pose: {}".format(trial.before.boundingbox.pose))236 # First publish original bounding box237 publish_bounding_box(self.markers, trial.before.boundingbox.pose, 238 (trial.before.boundingbox.dimensions.x), 239 (trial.before.boundingbox.dimensions.y), 240 (trial.before.boundingbox.dimensions.z),241 1.0, 1.0, 0.0, 0.5, 20)242 # And true result243 publish_bounding_box(self.markers, trial.after.boundingbox.pose, 244 (trial.after.boundingbox.dimensions.x), 245 (trial.after.boundingbox.dimensions.y), 246 (trial.after.boundingbox.dimensions.z),247 0.0, 1.0, 0.0, 0.5, 21)248 # Now one for each estimator249 colour = [{"r": 1.0, "g": 0.0, "b": 0.0}, {"r": 0.0, "g": 0.0, "b": 1.0}, 250 {"r": 1.0, "g": 0.0, "b": 1.0}, {"r": 0.0, "g": 1.0, "b": 1.0}]251 for j, est in enumerate(sorted(ESTIMATORS)):252 x = y_test_predict[est][0][0]253 y = y_test_predict[est][0][1]254 yaw = y_test_predict[est][0][2]255 pose = PoseStamped()256 pose.header.frame_id = "bin_K"257 pose.pose.position.x = x258 pose.pose.position.y = y259 pose.pose.position.z = trial.before.boundingbox.pose.pose.position.z260 quaternion = tf.transformations.quaternion_from_euler(0, 0, yaw)261 #type(pose) = geometry_msgs.msg.Pose262 pose.pose.orientation.x = quaternion[0]263 pose.pose.orientation.y = quaternion[1]264 pose.pose.orientation.z = quaternion[2]265 pose.pose.orientation.w = quaternion[3]266 publish_bounding_box(self.markers, pose, 267 (trial.after.boundingbox.dimensions.x), 268 (trial.after.boundingbox.dimensions.y), 269 (trial.after.boundingbox.dimensions.z),270 colour[j]["r"], colour[j]["g"], colour[j]["b"], 0.5, j + 30)271if __name__ == '__main__':272 rospy.init_node('trial_analyser')273 ta = TrialAnalyser()274 path = raw_input("Please enter the path to folder with the bag files: ")275 file_list = glob.glob( path + '/*.bag')276 for file_name in file_list:277 if not file_name[-13:] == 'evaluated.bag':278 continue279 # rospy.loginfo("Current file: " + file_name)280 bag = rosbag.Bag(file_name)281 for topic, trial_msg, t in bag.read_messages():282 ta.get_bounding_box_diff(trial_msg)283 bag.close()...

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Retry.py

Source:Retry.py Github

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1#!/usr/bin/evn python2# -*- coding:utf-8 -*-3# FileName Retry.py4# Author: HeyNiu5# Created Time: 201608096"""7重试机制 >> 默认3次81.待全部接口遍历后，读取写入本地的数据，取出已遍历的接口名92.读取遍历前的全部接口名，与上一步的数据求diff103.diff接口再从遍历前的接口中取出相关数据，加入重试队列114.重试上述步骤，直至diff不存在或重试次数耗尽12"""13import os14import base.Request15import sessions.ReadSessions16import utils.FileUtil17import utils.Consts18def retry11(app_type, retry=3):19 """20 重试机制，默认3次21 :param app_type: 1 >> 咚咚; 2 >> 家在; 3 >> 装修22 :param retry: 重试次数23 :return:24 """25 r1 = Retry(retry)26 if len(r1.get_diff()) > 0:27 print('发现diff接口，重试机制启动...')28 r1.retry1(app_type)29class Retry(object):30 def __init__(self, retry):31 """32 初始化33 :param retry:34 """35 self.retry = retry36 self.after_normal_sessions_path = '%s%s%s' % (37 utils.Consts.SESSIONS_PATH, "\\Sessions\\", utils.Consts.HOST)38 def __get_normal_after_sessions(self):39 """40 获取遍历后正常（接口通过）的接口列表41 :return:42 """43 return utils.FileUtil.get_file_list(self.after_normal_sessions_path)44 def __get_not_normal_after_sessions(self):45 """46 获取需要人工验证的接口VerifyRequest47 :return:48 """49 return self.__get_check_after_sessions('VerifyRequest')50 def __get_crash_after_sessions(self):51 """52 获取程序异常接口ProgramCrash53 :return:54 """55 return self.__get_check_after_sessions('ProgramCrash')56 def __get_unexpected_after_sessions(self):57 """58 获取非预期接口Unexpected59 :return:60 """61 return self.__get_check_after_sessions('Unexpected')62 def __get_field_change_after_sessions(self):63 """64 获取字段改变接口FieldChange65 :return:66 """67 return self.__get_check_after_sessions('FieldChange')68 def __get_check_after_sessions(self, sessions_type):69 """70 获取需要检查的接口列表，已去重71 :param sessions_type:72 :return:73 """74 path = '%s\\Check\\%s.txt' % (self.after_normal_sessions_path, sessions_type)75 if os.path.exists(path):76 l = open(path, encoding='utf-8').readlines()77 sessions1 = ('%s.txt' % (i.replace('\n', '')[::-1].split('/', 1)[0][::-1]) for i in l if78 i.startswith('Request url: '))79 return list(set(sessions1))80 return ()81 def get_diff(self):82 """83 获取diff接口84 diff 接口包含类型85 1.response 响应码 非200的接口86 2.请求超时的接口87 3.其他未知情况的接口（如 代码异常导致）88 :return:89 """90 before_sessions = utils.Consts.BEFORE_SESSIONS91 after_sessions = []92 normal_after_sessions = self.__get_normal_after_sessions()93 not_normal_after_sessions = self.__get_not_normal_after_sessions()94 unexpected_after_sessions = self.__get_unexpected_after_sessions()95 field_change_after_sessions = self.__get_field_change_after_sessions()96 crash_after_sessions = self.__get_crash_after_sessions()97 if normal_after_sessions is not None:98 after_sessions.extend(normal_after_sessions)99 if not_normal_after_sessions is not None:100 after_sessions.extend(not_normal_after_sessions)101 if crash_after_sessions is not None:102 after_sessions.extend(crash_after_sessions)103 if unexpected_after_sessions is not None:104 after_sessions.extend(unexpected_after_sessions)105 if field_change_after_sessions is not None:106 after_sessions.extend(field_change_after_sessions)107 return list(set(before_sessions).difference(set(after_sessions)))108 def __get_diff_sessions(self):109 """110 从本地磁盘读取diff接口sessions(request url; request header; ...)111 pass: 一个接口多条session112 :return:113 """114 diff = self.get_diff()115 for d in diff:116 print('diff sessions: %s' % (d, ))117 total_session = sessions.ReadSessions.ReadSessions().get_single_session(d)118 if len(total_session) == 0:119 print('发现录制异常接口：' + d)120 print('执行移除操作，移除重试队列')121 # 移除录制异常的接口122 os.remove('%s\\Api\\%s\\%s' % (utils.Consts.SESSIONS_PATH, utils.Consts.HOST, d))123 # 全局变量遍历前的全部接口也需要移除124 utils.Consts.BEFORE_SESSIONS.remove(d)125 else:126 yield sessions.ReadSessions.ReadSessions().get_single_session(d)127 def __will_request_sessions(self):128 """129 将要重跑的sessions，把多个接口的多个session合并为一个列表130 :return:131 """132 s = self.__get_diff_sessions()133 return (j for i in s for j in i)134 def __request_sessions(self, app_type):135 """136 请求接口137 :return:138 """139 s = self.__will_request_sessions()140 base.Request.thread_pool(app_type, s)141 def retry1(self, app_type):142 """143 重试的接口类型144 1.response 响应码 非200的接口145 2.请求超时的接口146 3.其他未知情况的接口（如 代码异常导致）147 注意：已经知道失败的接口不会再重试，目前是这样考虑的148 :return:149 """150 temp = self.retry151 while self.retry > 0:152 self.retry -= 1153 # 请求接口154 print('第%d次尝试请求diff...' % (temp - self.retry,))155 self.__request_sessions(app_type)156 # 再次求差异化文件，还有diff继续，否则停止157 if len(self.get_diff()) > 0 and self.retry > 0:158 print('发现diff存在，继续尝试请求...')159 continue160 else:161 break162 print('diff机制退出...')163 # 重试机制完成，再对比一次数据，用于生成报告164 self.get_diff()165if __name__ == "__main__":...

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plugin.py

Source:plugin.py Github

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1from Screens.Screen import Screen2from Screens.MessageBox import MessageBox3from Plugins.Plugin import PluginDescriptor4from Components.ConfigList import ConfigListScreen5from Components.ActionMap import ActionMap6from Components.config import config7from Components.NimManager import nimmanager as nimmgr8class SecParameterSetup(Screen, ConfigListScreen):9 skin = """10 <screen position="center,center" size="620,455" title="Satellite equipment setup" >11 <widget name="config" position="10,10" size="600,450" />12 </screen>"""13 def __init__(self, session):14 self.skin = SecParameterSetup.skin15 self["actions"] = ActionMap(["SetupActions", "MenuActions"],16 {17 "ok": self.keySave,18 "cancel": self.keyCancel,19 "menu": self.setDefault,20 }, -2)21 Screen.__init__(self, session)22 self.setTitle(_("Satellite equipment setup"))23 list = [24 (_("Delay after diseqc reset command"), config.sec.delay_after_diseqc_reset_cmd),25 (_("Delay after diseqc peripherial poweron command"), config.sec.delay_after_diseqc_peripherial_poweron_cmd),26 (_("Delay after continuous tone disable before diseqc"), config.sec.delay_after_continuous_tone_disable_before_diseqc),27 (_("Delay after final continuous tone change"), config.sec.delay_after_final_continuous_tone_change),28 (_("Delay after last voltage change"), config.sec.delay_after_final_voltage_change),29 (_("Delay between diseqc commands"), config.sec.delay_between_diseqc_repeats),30 (_("Delay after last diseqc command"), config.sec.delay_after_last_diseqc_command),31 (_("Delay after toneburst"), config.sec.delay_after_toneburst),32 (_("Delay after change voltage before switch command"), config.sec.delay_after_change_voltage_before_switch_command),33 (_("Delay after enable voltage before switch command"), config.sec.delay_after_enable_voltage_before_switch_command),34 (_("Delay between switch and motor command"), config.sec.delay_between_switch_and_motor_command),35 (_("Delay after set voltage before measure motor power"), config.sec.delay_after_voltage_change_before_measure_idle_inputpower),36 (_("Delay after enable voltage before motor command"), config.sec.delay_after_enable_voltage_before_motor_command),37 (_("Delay after motor stop command"), config.sec.delay_after_motor_stop_command),38 (_("Delay after voltage change before motor command"), config.sec.delay_after_voltage_change_before_motor_command),39 (_("Delay before sequence repeat"), config.sec.delay_before_sequence_repeat),40 (_("Motor running timeout"), config.sec.motor_running_timeout),41 (_("Motor command retries"), config.sec.motor_command_retries),42 (_("Unicable delay after enable voltage before switch command"), config.sec.unicable_delay_after_enable_voltage_before_switch_command),43 (_("Unicable delay after change voltage before switch command"), config.sec.unicable_delay_after_change_voltage_before_switch_command),44 (_("Unicable delay after last diseqc command"), config.sec.unicable_delay_after_last_diseqc_command) ]45 ConfigListScreen.__init__(self, list)46 def setDefault(self):47 self.session.openWithCallback(self.setDefaultCallback, MessageBox, _("Set default settings?"), MessageBox.TYPE_YESNO)48 def setDefaultCallback(self, answer):49 if answer:50 config.sec.delay_after_diseqc_reset_cmd.value = 5051 config.sec.delay_after_diseqc_peripherial_poweron_cmd.value = 15052 config.sec.delay_after_continuous_tone_disable_before_diseqc.value = 2553 config.sec.delay_after_final_continuous_tone_change.value = 1054 config.sec.delay_after_final_voltage_change.value = 1055 config.sec.delay_between_diseqc_repeats.value = 12056 config.sec.delay_after_last_diseqc_command.value = 5057 config.sec.delay_after_toneburst.value = 5058 config.sec.delay_after_change_voltage_before_switch_command.value = 2059 config.sec.delay_after_enable_voltage_before_switch_command.value = 20060 config.sec.delay_between_switch_and_motor_command.value = 70061 config.sec.delay_after_voltage_change_before_measure_idle_inputpower.value = 50062 config.sec.delay_after_enable_voltage_before_motor_command.value = 90063 config.sec.delay_after_motor_stop_command.value = 50064 config.sec.delay_after_voltage_change_before_motor_command.value = 50065 config.sec.delay_before_sequence_repeat.value = 7066 config.sec.motor_running_timeout.value = 36067 config.sec.motor_command_retries.value = 168 config.sec.delay_after_diseqc_reset_cmd.save()69 config.sec.delay_after_diseqc_peripherial_poweron_cmd.save()70 config.sec.delay_after_continuous_tone_disable_before_diseqc.save()71 config.sec.delay_after_final_continuous_tone_change.save()72 config.sec.delay_after_final_voltage_change.save()73 config.sec.delay_between_diseqc_repeats.save()74 config.sec.delay_after_last_diseqc_command.save()75 config.sec.delay_after_toneburst.save()76 config.sec.delay_after_change_voltage_before_switch_command.save()77 config.sec.delay_after_enable_voltage_before_switch_command.save()78 config.sec.delay_between_switch_and_motor_command.save()79 config.sec.delay_after_voltage_change_before_measure_idle_inputpower.save()80 config.sec.delay_after_enable_voltage_before_motor_command.save()81 config.sec.delay_after_motor_stop_command.save()82 config.sec.delay_after_voltage_change_before_motor_command.save()83 config.sec.delay_before_sequence_repeat.save()84 config.sec.motor_running_timeout.save()85 config.sec.motor_command_retries.save()86 self.close(True)87session = None88def confirmed(answer):89 global session90 if answer:91 session.open(SecParameterSetup)92def SecSetupMain(Session, **kwargs):93 global session94 session = Session95 session.openWithCallback(confirmed, MessageBox, _("Please do not change any values unless you know what you are doing!"), MessageBox.TYPE_INFO)96def SecSetupStart(menuid):97 show = False98 # other menu than "scan"?99 if menuid != "scan":100 return [ ]101 # only show if DVB-S frontends are available102 for slot in nimmgr.nim_slots:103 if slot.isCompatible("DVB-S"):104 return [(_("Satellite equipment setup"), SecSetupMain, "satellite_equipment_setup", None)]105 return [ ]106def Plugins(**kwargs):107 if (nimmgr.hasNimType("DVB-S")):108 return PluginDescriptor(name=_("Satellite equipment setup"), description=_("Setup your satellite equipment"), where = PluginDescriptor.WHERE_MENU, needsRestart = False, fnc=SecSetupStart)109 else:...

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moodRatingTime.py

Source:moodRatingTime.py Github

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1import pandas2import matplotlib.pyplot as plt3import numpy as np4import math5import cv26from PIL import Image7import datetime8df = pandas.read_csv('../data/moodLogFinal.csv')9df2after = pandas.read_csv('../data/moodLogFinalAfter.csv')10# 22. april 16.46 shift from no light control to light control11getEnergy = True12def reverse(n): 13 return 160 - n14timestamps = df["Timestamp"]15if(getEnergy):16 energyLevel = df["y"]17 energyLevel = map(reverse, energyLevel)18else:19 energyLevel = df["x"]20minutes = []21timestampsAfter = df2after["Timestamp"]22if(getEnergy):23 energyLevelAfter = df2after["y"]24 energyLevelAfter = map(reverse, energyLevelAfter)25else:26 energyLevelAfter = df2after["x"]27minutesAfter = []28for i in range(len(df)):29 date = datetime.datetime.fromtimestamp(df['Timestamp'][i] / 1e3)30 thisMinute = int(date.strftime("%M"))31 thisHour = int(date.strftime("%H"))32 minute = thisHour * 60 + thisMinute33 minutes.append(minute)34for i in range(len(df2after)):35 date = datetime.datetime.fromtimestamp(df['Timestamp'][i] / 1e3)36 thisMinute = int(date.strftime("%M"))37 thisHour = int(date.strftime("%H"))38 minute = thisHour * 60 + thisMinute39 minutesAfter.append(minute)40# AVG morning before41avgMorningBefore = 042avgMorningBeforeEnergy = 043counter = 044counter2 = 045while(counter < len(minutes)):46 if(minutes[counter] < 800):47 avgMorningBefore = avgMorningBefore + minutes[counter]48 avgMorningBeforeEnergy = avgMorningBeforeEnergy + energyLevel[counter]49 counter2 = counter2 + 150 counter = counter + 151avgMorningBefore = avgMorningBefore / counter252avgMorningBeforeEnergy = avgMorningBeforeEnergy / counter253# AVG evening before54avgEveningBefore = 055avgEveningBeforeEnergy = 056counter = 057counter2 = 058while(counter < len(minutes)):59 if(minutes[counter] > 800):60 avgEveningBefore = avgEveningBefore + minutes[counter]61 avgEveningBeforeEnergy = avgEveningBeforeEnergy + energyLevel[counter]62 counter2 = counter2 + 163 counter = counter + 164 print(counter2)65avgEveningBefore = avgEveningBefore / counter266avgEveningBeforeEnergy = avgEveningBeforeEnergy / counter267print(avgMorningBefore, avgMorningBeforeEnergy)68 69# AVG morning after70avgMorningAfter = 071avgMorningAfterEnergy = 072counter = 073counter2 = 074while(counter < len(minutesAfter)):75 if(minutes[counter] < 800):76 avgMorningAfter = avgMorningAfter + minutesAfter[counter]77 avgMorningAfterEnergy = avgMorningAfterEnergy + energyLevelAfter[counter]78 counter2 = counter2 + 179 counter = counter + 180avgMorningAfter = avgMorningAfter / counter281avgMorningAfterEnergy = avgMorningAfterEnergy / counter282# AVG evening after83avgEveningAfter = 084avgEveningAfterEnergy = 085counter = 086counter2 = 087while(counter < len(minutesAfter)):88 if(minutes[counter] > 800):89 avgEveningAfter = avgEveningAfter + minutesAfter[counter]90 avgEveningAfterEnergy = avgEveningAfterEnergy + energyLevelAfter[counter]91 counter2 = counter2 + 192 counter = counter + 193avgEveningAfter = avgEveningAfter / counter294avgEveningAfterEnergy = avgEveningAfterEnergy / counter295# From 0 to 16096area = np.pi*597# Plot98plt.grid(color='#eeeeee', linestyle='-', linewidth=1)99plt.scatter(minutes, energyLevel, s=area, color="#ff4040", label="Before")100plt.scatter(minutesAfter, energyLevelAfter, s=area, color="#4040ff", label="After")101#plt.scatter(avgMorningBefore, avgMorningBeforeEnergy, s=area, color="#00ff00", label="Before avg")102#plt.scatter(avgEveningBefore, avgEveningBeforeEnergy, s=area, color="#00ff00", label="Before avg")103#plt.scatter(avgMorningAfter, avgMorningAfterEnergy, s=area, color="#ffff00", label="After avg")104#plt.scatter(avgEveningAfter, avgEveningAfterEnergy, s=area, color="#ffff00", label="After avg")105plt.plot([avgMorningBefore, avgEveningBefore], [avgMorningBeforeEnergy, avgEveningBeforeEnergy], color="#ff4040", label="Before (avg)")106plt.plot([avgMorningAfter, avgEveningAfter], [avgMorningAfterEnergy, avgEveningAfterEnergy], color="#4040ff", label="After (avg)")107plt.title('Time of mood rating and energy level')108plt.xlabel('Time of day in minutes')109if(getEnergy):110 plt.ylabel('Energy level')111else:112 plt.ylabel('Happiness')113plt.ylim(0, 160)114plt.legend()...

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moodBoxPlot.py

Source:moodBoxPlot.py Github

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1import pandas2import matplotlib.pyplot as plt3import numpy as np4import math5import cv26from PIL import Image7import datetime8df = pandas.read_csv('../data/moodLogFinal.csv')9df2after = pandas.read_csv('../data/moodLogFinalAfter.csv')10# 22. april 16.46 shift from no light control to light control11getEnergy = True12def reverse(n): 13 return 160 - n14timestamps = df["Timestamp"]15energyLevel = df["y"]16energyLevel = map(reverse, energyLevel)17happinessLevel = df["x"]18minutes = []19timestampsAfter = df2after["Timestamp"]20energyLevelAfter = df2after["y"]21energyLevelAfter = map(reverse, energyLevelAfter)22happinessLevelAfter = df2after["x"]23minutesAfter = []24for i in range(len(df)):25 date = datetime.datetime.fromtimestamp(df['Timestamp'][i] / 1e3)26 thisMinute = int(date.strftime("%M"))27 thisHour = int(date.strftime("%H"))28 minute = thisHour * 60 + thisMinute29 minutes.append(minute)30for i in range(len(df2after)):31 date = datetime.datetime.fromtimestamp(df['Timestamp'][i] / 1e3)32 thisMinute = int(date.strftime("%M"))33 thisHour = int(date.strftime("%H"))34 minute = thisHour * 60 + thisMinute35 minutesAfter.append(minute)36# AVG morning before37avgMorningBefore = 038avgMorningBeforeEnergy = 039counter = 040counter2 = 041while(counter < len(minutes)):42 if(minutes[counter] < 800):43 avgMorningBefore = avgMorningBefore + minutes[counter]44 avgMorningBeforeEnergy = avgMorningBeforeEnergy + energyLevel[counter]45 counter2 = counter2 + 146 counter = counter + 147avgMorningBefore = avgMorningBefore / counter248avgMorningBeforeEnergy = avgMorningBeforeEnergy / counter249# AVG evening before50avgEveningBefore = 051avgEveningBeforeEnergy = 052counter = 053counter2 = 054while(counter < len(minutes)):55 if(minutes[counter] > 800):56 avgEveningBefore = avgEveningBefore + minutes[counter]57 avgEveningBeforeEnergy = avgEveningBeforeEnergy + energyLevel[counter]58 counter2 = counter2 + 159 counter = counter + 160 print(counter2)61avgEveningBefore = avgEveningBefore / counter262avgEveningBeforeEnergy = avgEveningBeforeEnergy / counter263print(avgMorningBefore, avgMorningBeforeEnergy)64 65# AVG morning after66avgMorningAfter = 067avgMorningAfterEnergy = 068counter = 069counter2 = 070while(counter < len(minutesAfter)):71 if(minutes[counter] < 800):72 avgMorningAfter = avgMorningAfter + minutesAfter[counter]73 avgMorningAfterEnergy = avgMorningAfterEnergy + energyLevelAfter[counter]74 counter2 = counter2 + 175 counter = counter + 176avgMorningAfter = avgMorningAfter / counter277avgMorningAfterEnergy = avgMorningAfterEnergy / counter278# AVG evening after79avgEveningAfter = 080avgEveningAfterEnergy = 081counter = 082counter2 = 083while(counter < len(minutesAfter)):84 if(minutes[counter] > 800):85 avgEveningAfter = avgEveningAfter + minutesAfter[counter]86 avgEveningAfterEnergy = avgEveningAfterEnergy + energyLevelAfter[counter]87 counter2 = counter2 + 188 counter = counter + 189avgEveningAfter = avgEveningAfter / counter290avgEveningAfterEnergy = avgEveningAfterEnergy / counter291box_plot_data=[energyLevel, energyLevelAfter, happinessLevel, happinessLevelAfter]92plt.boxplot(box_plot_data, labels=['Energy before', 'Energy after', 'Happiness before', 'Happiness after'])...

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blacklist_filter.py

Source:blacklist_filter.py Github

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1# coding=utf-82"""3@author: xing4@contact: 1059252359@qq.com5@file: blacklist_filter.py6@date: 2021/3/3 10:067@desc: 8"""9import re10from pre_processing.prepro_utils import *11from pre_processing.email_sender import *12def removeDross(dir_path, source_db_path, before_uglifyjs_db_path, after_uglifyjs_db_path):13 # 读取数据14 total_data = read_data_from_db_files(source_db_path)15 # 1. 再去掉一部分超长的数据16 after_too_long_data = [i for i in total_data if not len(i) > 100000]17 logging.info(f'·After removing the data with rows greater than 10W, remaining: {len(after_too_long_data)}')18 # 2. 过滤掉所有nock类数据，该类数据没有什么意义19 after_nock_data = [i for i in after_too_long_data if not i.startswith('function(nock')]20 logging.info(f'·After removing the Nock data, remaining: {len(after_nock_data)}')21 # 3. 过滤掉形如 function(...) {}的数据22 after_immediate_data = []23 discarded_functions = []24 pattern_1 = re.compile('^function(.*?){}$')25 for function in after_nock_data:26 if re.match(pattern_1, function) is not None:27 discarded_functions.append(function)28 else:29 after_immediate_data.append(function)30 logging.info(f'After removing the function(...), remaining: {len(after_immediate_data)}')31 # 4. 过滤掉其中所有非英文数据32 after_english_data = filter_english_data(after_immediate_data)33 logging.info(f'·After removing all non-English data, remaining: {len(after_english_data)}')34 # 5. 按黑名单内容过滤35 after_blacklist_filter_data = filter_blacklist_data(after_english_data)36 logging.info(f'·After removing the data in the blacklist, remaining: {len(after_blacklist_filter_data)}')37 # 5.5 暂存一下38 if not os.path.exists(dir_path):39 os.mkdir(dir_path)40 list2db(after_too_long_data, os.path.join(dir_path, before_uglifyjs_db_path)) # total_data_guolvhou.db，共288665条。uglifyjs美化后剩余288564条41 # 6. 利用uglifyjs去除注释以及美化（格式化）,存入数据库备份42 # 此处应当注意 uglifyjs安装的路径，必要时需要进入uglifyjs_filter中修改43 after_uglifyjs_data = uglifyjs_filter(after_blacklist_filter_data, 32)44 after_uglifyjs_data = deduplicate(after_uglifyjs_data) # 采用不稳定去重45 list2db(after_uglifyjs_data, os.path.join(dir_path, after_uglifyjs_db_path))46 logging.info(f'·After deannotating, beautifying, and deduplicating, remaining: {len(after_uglifyjs_data)}')47 # # 执行完成后邮件告知48 # EmailSender = email_sender('1059252359@qq.com')...

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main_spanish.py

Source:main_spanish.py Github

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1# Dependencies2import os3from sentiment_analysis_spanish import sentiment_analysis4# Select political leader5leader = "lula"6# Get rise and fall text files as single strings7file_path = os.path.join(os.getcwd(), "data", leader, "spanish", "rise.txt")8with open(file_path, 'r', encoding = "utf-8") as file:9 str_before = file.read()10file_path = os.path.join(os.getcwd(), "data", leader, "spanish", "fall.txt")11with open(file_path, 'r', encoding = "utf-8") as file:12 str_after = file.read()13# Sentiment analysis, see https://pypi.org/project/sentiment-analysis-spanish/14# Initialize sentiment analysis class15sentiment = sentiment_analysis.SentimentAnalysisSpanish()16print("--- PARAGRAPH BY PARAGRAPH ANALYSIS ---")17# Make rise article into paragraph-based list and do sentiment analysis18para_before = str_before.split("\n")19before_sentiment = list()20for i in range(len(para_before)):21 before_sentiment.append(sentiment.sentiment(para_before[i]))22print("Average sentiment for rise article is {:.4f}".format(23 sum(before_sentiment)/len(before_sentiment), 2))24# Make fall article into paragraph-based list and do sentiment analysis25para_after = str_after.split("\n")26after_sentiment = list()27for i in range(len(para_after)):28 after_sentiment.append(sentiment.sentiment(para_after[i]))29print("Average sentiment for fall article is {:.4f}".format(30 sum(after_sentiment)/len(after_sentiment), 2))31# Get ratio based result to see fall/rise sentiment32print("Ratio of fall/rise sentiment is thus {:.4f}".format(33 (sum(after_sentiment)/len(after_sentiment))/(sum(before_sentiment)/len(before_sentiment))))34print("--- SENTENCE BY SENTENCE ANALYSIS ---")35# Now do this per sentence36sen_before = str_before.replace("\n", "").split(".")37before_sentiment = list()38for i in range(len(sen_before)):39 before_sentiment.append(sentiment.sentiment(sen_before[i]))40print("Average sentiment for rise article is {:.4f}".format(41 sum(before_sentiment)/len(before_sentiment), 2))42sen_after = str_after.replace("\n", "").split(".")43after_sentiment = list()44for i in range(len(sen_after)):45 after_sentiment.append(sentiment.sentiment(sen_after[i]))46print("Average sentiment for fall article is {:.4f}".format(47 sum(after_sentiment)/len(after_sentiment), 2))48# Get ratio based result to see fall/rise sentiment49print("Ratio of fall/rise sentiment is thus {:.4f}".format(...

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79.py

Source:79.py Github

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1with open("p079_keylog.txt") as f:2 content = [line.rstrip('\n') for line in f]34after = {}5#print(after)6for c in content:7 if int(c[0]) not in after.keys():8 after[int(c[0])] = []9 if int(c[1]) not in after.keys():10 after[int(c[1])] = []11 if int(c[2]) not in after.keys():12 after[int(c[2])] = []13 if int(c[1]) not in after[int(c[0])]:14 after[int(c[0])].append(int(c[1]))15 if int(c[2]) not in after[int(c[0])]:16 after[int(c[0])].append(int(c[2]))17 if int(c[2]) not in after[int(c[1])]:18 after[int(c[1])].append(int(c[2]))19k = list(after.keys())20k.sort(key=lambda x: len(after[x]), reverse=True) ...

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Using AI Code Generation

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1var BestBuyApi = require('./BestBuyApi.js');2var test = new BestBuyApi();3var test2 = new BestBuyApi();4var test3 = new BestBuyApi();5var test4 = new BestBuyApi();6var test5 = new BestBuyApi();7var test6 = new BestBuyApi();8var test7 = new BestBuyApi();9var test8 = new BestBuyApi();10var test9 = new BestBuyApi();11var test10 = new BestBuyApi();12var test11 = new BestBuyApi();13var test12 = new BestBuyApi();14var test13 = new BestBuyApi();15var test14 = new BestBuyApi();16var test15 = new BestBuyApi();17var test16 = new BestBuyApi();18var test17 = new BestBuyApi();19var test18 = new BestBuyApi();20var test19 = new BestBuyApi();21var test20 = new BestBuyApi();22var test21 = new BestBuyApi();23var test22 = new BestBuyApi();24var test23 = new BestBuyApi();25var test24 = new BestBuyApi();26var test25 = new BestBuyApi();27var test26 = new BestBuyApi();28var test27 = new BestBuyApi();29var test28 = new BestBuyApi();30var test29 = new BestBuyApi();31var test30 = new BestBuyApi();32var test31 = new BestBuyApi();33var test32 = new BestBuyApi();34var test33 = new BestBuyApi();35var test34 = new BestBuyApi();36var test35 = new BestBuyApi();37var test36 = new BestBuyApi();38var test37 = new BestBuyApi();39var test38 = new BestBuyApi();40var test39 = new BestBuyApi();41var test40 = new BestBuyApi();42var test41 = new BestBuyApi();43var test42 = new BestBuyApi();44var test43 = new BestBuyApi();45var test44 = new BestBuyApi();46var test45 = new BestBuyApi();47var test46 = new BestBuyApi();48var test47 = new BestBuyApi();49var test48 = new BestBuyApi();

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Using AI Code Generation

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1var BestSeller = require('./BestSeller.js');2var book = new BestSeller();3book.after('get', function(){4 console.log('after get');5});6var BestSeller = function(){};7BestSeller.prototype.get = function(){8 console.log('get');9};10module.exports = BestSeller;11var BestSeller = require('./BestSeller.js');12var book = new BestSeller();13book.before('get', function(){14 console.log('before get');15});16var BestSeller = function(){};17BestSeller.prototype.get = function(){18 console.log('get');19};20module.exports = BestSeller;21var BestSeller = require('./BestSeller.js');22var book = new BestSeller();23book.around('get', function(){24 console.log('before get');25 this._super();26 console.log('after get');27});28var BestSeller = function(){};29BestSeller.prototype.get = function(){30 console.log('get');31};32module.exports = BestSeller;

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Using AI Code Generation

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1var bestBuy = require('./bestBuy');2var bestBuy = new bestBuy();3bestBuy.after('get', function(data){4 console.log(data);5});6bestBuy.get('stores(area(55402,25))?format=json&show=storeId,storeType,name,phone,address,distance');

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Using AI Code Generation

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1var results = JSON.parse(data);2console.log("Results: " + results);3var table = document.createElement("table");4table.setAttribute("id", "resultsTable");5document.body.appendChild(table);6var header = document.createElement("tr");7header.setAttribute("id", "headerRow");8document.getElementById("resultsTable").appendChild(header);9var nameHeader = document.createElement("th");10nameHeader.innerHTML = "Name";11document.getElementById("headerRow").appendChild(nameHeader);12var priceHeader = document.createElement("th");13priceHeader.innerHTML = "Price";14document.getElementById("headerRow").appendChild(priceHeader);15var salePriceHeader = document.createElement("th");16salePriceHeader.innerHTML = "Sale Price";17document.getElementById("headerRow").appendChild(salePriceHeader);18var urlHeader = document.createElement("th");19urlHeader.innerHTML = "URL";20document.getElementById("headerRow").appendChild(urlHeader);21var addToCartHeader = document.createElement("th");22addToCartHeader.innerHTML = "Add To Cart URL";23document.getElementById("headerRow").appendChild(addToCartHeader);24var row;25var name;26var price;27var salePrice;28var url;29var addToCartUrl;30for (var i = 0; i < results.products.length; i++)31{32row = document.createElement("tr");33row.setAttribute("id", "row" + i);34document.getElementById("resultsTable").appendChild(row);35name = document.createElement("td");36name.innerHTML = results.products[i].name;37document.getElementById("row" + i).appendChild(name);38price = document.createElement("td");39price.innerHTML = results.products[i].regularPrice;40document.getElementById("row" + i).appendChild(price);41salePrice = document.createElement("td");42salePrice.innerHTML = results.products[i].salePrice;43document.getElementById("row" + i).appendChild(salePrice);44url = document.createElement("td");45url.innerHTML = results.products[i].url;46document.getElementById("row" + i).appendChild(url);47addToCartUrl = document.createElement("td");48addToCartUrl.innerHTML = results.products[i].addToCartUrl;49document.getElementById("row" + i).appendChild(addToCartUrl);50}51});52})

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