\")\n i = 0\n for file in listdir(config.OUTPUT_DIR):\n print(\"\\n\\n===================== \" + path.splitext(file)[0]\n + \".jpg ====================\")\n print(\"Generated annotation: \" + file + \"\")\n print(\"Recognized annotation: \" + file + \"\")\n analyzer = TableAnalyzer(file)\n analyzer.load_data()\n analyzer.analyze()\n if analyzer.h_l_precision_failed:\n h_l_precision_failed += 1\n print(\"Horizontal precision: \" + str(analyzer.h_l_precision) + \"\")\n else:\n print(\"Horizontal precision: \" + str(analyzer.h_l_precision))\n\n if analyzer.h_l_recall_failed:\n h_l_recall_failed += 1\n print(\"Horizontal recall: \" + str(analyzer.h_l_recall) + \"\")\n else:\n print(\"Horizontal recall: \" + str(analyzer.h_l_recall))\n\n if analyzer.v_l_precision_failed:\n v_l_precision_failed += 1\n print(\"Vertical precision: \" + str(analyzer.v_l_precision) + \"\")\n else:\n print(\"Vertical precision: \" + str(analyzer.h_l_precision))\n\n if analyzer.v_l_recall_failed:\n v_l_recall_failed += 1\n print(\"Vertical recall: \" + str(analyzer.v_l_recall) + \"\")\n else:\n print(\"Vertical recall: \" + str(analyzer.v_l_recall))\n\n if analyzer.width_failed:\n width_failed += 1\n print(\"Width fail!\")\n else:\n print(\"Width: OK\")\n\n if analyzer.height_failed:\n height_failed += 1\n print(\"Height fail!\")\n else:\n print(\"Height: OK\")\n\n h_l_metrics.append((analyzer.h_l_precision, analyzer.h_l_recall))\n v_l_metrics.append((analyzer.v_l_precision, analyzer.v_l_recall))\n\n i += 1\n\n print(\"\\n\\n\\n\\n\")\n print(\"Precision of horizontal lines of images completed: \" + str(i - h_l_precision_failed) + \"/\" + str(i))\n print(\"Recall of horizontal lines of images completed: \" + str(i - h_l_recall_failed) + \"/\" + str(i))\n print(\"Precision of vertical lines of images completed: \" + str(i - v_l_precision_failed) + \"/\" + str(i))\n print(\"Recall of vertical lines of images completed: \" + str(i - v_l_recall_failed) + \"/\" + str(i))\n print(\"Width of images completed: \" + str(i - width_failed) + \"/\" + str(i))\n print(\"Height of images completed: \" + str(i - height_failed) + \"/\" + str(i))\n\n print(\"\")\n\n # graph_representation(h_l_metrics, v_l_metrics)\n\n\nif __name__ == \"__main__\":\n main()\n","sub_path":"table_analyzer.py","file_name":"table_analyzer.py","file_ext":"py","file_size_in_byte":9187,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"60"} +{"seq_id":"486109635","text":"import datetime\nimport warnings\ndef create_header (authors_list,place=\"Paris\"):\n \"\"\"Creates the header text based on the authors list\n \n Parameters\n ----------\n authors_list : a list of dictionnaries\n each dict should have \"firstname\" and \"lastname\" keys\n \n Returns\n -------\n header_text : str\n the header text\n \n Note\n ----\n date is updated at the function execution time\n \"\"\"\n today=datetime.date.today()\n \n ligne1=f'{place}, le {today.day}/{today.month:02d}/{today.year}\\n\\n### auteur(s) :\\n'\n lignes=[ligne1]\n #get the authors names\n for aut in authors_list:\n try:\n firstname2=aut['firstname']\n except KeyError: #met XXX si firstname is missing, utile pour afficher le message firstname is missing\n firstname2='XXX'\n warnings.warn('First Name is missing')\n print('Firstname missing')\n\n lastname2=aut.get('lastname',\"XXX\") #met XXX si lastname is missing\n lignes.append(f'- {firstname2} {lastname2}')\n \n return \"\\n\".join(lignes)","sub_path":"reporter/header.py","file_name":"header.py","file_ext":"py","file_size_in_byte":1088,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"60"} +{"seq_id":"487472704","text":"import os\nimport django\nfrom django.test.runner import DiscoverRunner\nfrom django.test.testcases import TestCase\nfrom selenium import webdriver\n\nos.environ[\"DJANGO_SETTINGS_MODULE\"] = \"superlists.settings\"\n\n\ndef before_all(context):\n django.setup()\n context.test_runner = DiscoverRunner()\n context.test_runner.setup_test_environment()\n context.old_db_config = context.test_runner.setup_databases()\n\n\ndef before_scenario(context, scenario):\n context.test_case = TestCase()\n context.test_case.setUpClass()\n context.browser = webdriver.Chrome()\n\n\ndef after_scenario(context, scenario):\n context.browser.quit()\n context.test_case.tearDownClass()\n del context.test_case\n\n\ndef after_all(context):\n context.test_runner.teardown_databases(context.old_db_config)\n context.test_runner.teardown_test_environment()\n os.remove('db.sqlite3')\n","sub_path":"features/environment.py","file_name":"environment.py","file_ext":"py","file_size_in_byte":867,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"60"} +{"seq_id":"618530275","text":"'''\r\n Get bounding box cordinates from bottom left and top right cordinates\r\n\r\n https://www.image-map.net/\r\n'''\r\nimport re\r\n\r\ndef getBoundingBoxCoords(two_coords):\r\n while(True):\r\n\r\n #cord = re.findall('\\d+', input(\"Enter bottom left and top right cordinates(eg: 384,393,500,200): \"))\r\n cord = re.findall('\\d+', two_coords)\r\n\r\n b_left = '{} {} '.format(cord[0], cord[1])\r\n t_right = '{} {} '.format(cord[2], cord[3])\r\n\r\n b_right = '{} {} '.format(cord[2], cord[1])\r\n t_left = '{} {} '.format(cord[0], cord[3])\r\n\r\n coords = ''.join([t_left, b_right])#([b_left, b_right, t_right, t_left])\r\n print('[boundingBox.py]', coords)\r\n\r\n return coords\r\n","sub_path":"Single Person Pose Estimation/boundingBox.py","file_name":"boundingBox.py","file_ext":"py","file_size_in_byte":714,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"60"} +{"seq_id":"540311231","text":"import random\nimport json\nimport time\nfrom datetime import date\n\nimport mmb\nimport topics\nimport usergen\n\nusers_dat_file = 'data/users.json'\n\n\ndef get_identifier():\n\twith open(users_dat_file, 'r') as users_dat:\n\t\tusers = json.load(users_dat)\n\t\treturn 100 + len(users)\n\n\ndef get_all_users():\n\twith open(users_dat_file, 'r') as users_dat:\n\t\tusers = []\n\t\tusers_dat = json.load(users_dat)\n\t\tfor user in users_dat:\n\t\t\tusers.append(User.reload(users_dat[user]))\n\t\treturn users\n\n\n\nclass User():\n\n\tdef __init__(self, attrs, id=None, dump=True):\n\t\t'''\n\t\t\tcreate user passing a dictionary with keys:\n\t\t\temail, password, first_name, last_name, birth_date (YYYY,MM,DD), nkname\n\n\t\t'''\n\n\t\tself.identifier = get_identifier() if id==None else id \n\t\tself.first_name = attrs['first_name']\n\t\tself.last_name = attrs['last_name']\n\t\tself.birth = date(attrs['birth_date'][0], attrs['birth_date'][1], attrs['birth_date'][2])\n\t\tself.nkname = attrs['nkname']\n\t\tself.email = attrs['email']\n\t\tself.password = attrs['password']\n\n\t\tself.byForm = True\n\t\tself.timestamp = time.time()\n\t\tself.init_timestamp = time.time()\n\t\tself.topics = [(0,0)] # list of tuples (#posts, topic_id)\n\n\t\tif dump: self.dump()\n\t\n\t@classmethod\n\tdef random(User):\n\t\t'''\n\t\t\tcreate a user with random data\n\t\t'''\t\n\t\tuser = User(usergen.gen_user(), dump=False) # NOTICE : DUMP IS SET TO FALSE\n\t\tuser.byForm = False\n\t\treturn user\n\n\t@classmethod\n\tdef reload(User, usr_json):\n\t\tuser = User(usr_json, id=usr_json['id'], dump=False)\n\t\tuser.topics = usr_json['topics']\n\t\tuser.byForm = usr_json['byform']\n\t\tuser.timestamp = usr_json['timestamp']\n\t\tuser.init_timestamp = usr_json['init_timestamp']\n\t\treturn user\n\n\t\t\n\tdef push_topic(self, topic_id):\n\t\tfor i in range(len(self.topics)):\n\t\t\tif self.topics[i][1] == topic_id:\n\t\t\t\tself.topics[i][0] += 1\n\t\t\t\treturn 1\n\t\tself.topics.append((1, topic_id))\n\t\treturn 0\n\n\tdef get_top_topics(self, num=5):\n\t\tself.topics.sort(reverse=True)\n\t\tfavs = []\n\t\tfor i in range(num if num <= len(self.topics) else len(self.topics)):\n\t\t\tfavs.append(self.topics[i])\n\t\treturn favs\n\n\t# def login(self, login):\n\t# \tmmb.login(self.email, self.password)\n\t\n\tdef post(self, topic_id, post_message):\n\t\turl = 'https://mmb.moneycontrol.com' + topics.get_url_from_id(topic_id)\n\t\tsuccess = mmb.post(url, post_message, self.email, self.password)\n\t\tif success: \n\t\t\tself.timestamp = time.time()\n\t\t\tself.push_topic(topic_id)\n\t\t\tself.dump()\n\t\treturn success\n\t\t\n\tdef dictify(self):\n\t\treturn {'id' : self.identifier,\n\t\t'first_name' : self.first_name,\n\t\t'last_name': self.last_name,\n\t\t'birth_date' : self.birth.timetuple()[:3],\n\t\t'nkname': self.nkname,\n\t\t'email' : self.email,\n\t\t'password' : self.password,\n\t\t'byform': self.byForm,\n\t\t'timestamp' : self.timestamp,\n\t\t'topics': self.topics,\n\t\t'init_timestamp': self.init_timestamp}\t\t\n\t\t\n\n\tdef dump(self):\n\t\twith open(users_dat_file, 'r') as users_dat:\n\t\t\tusers = json.load(users_dat)\n\t\twith open(users_dat_file, 'w') as users_dat:\n\t\t\tusers[self.identifier] = self.dictify()\n\t\t\tjson.dump(users, users_dat)\n\n\t\n\t# sorting according to timestamps\n\tdef __lt__(self, other):\n\t\treturn self.timestamp < other.timestamp\n\t\n\tdef __str__(self):\n\t\treturn(f'''\n\t\tUser: {self.identifier}\n\t\tFirst Name : {self.first_name}\n\t\tLast Name : {self.last_name}\n\t\tUser Nickname : {self.nkname}\n\t\tBirth : {self.birth}\n\t\tEmail : {self.email}\n\t\tPassword : {self.password}\n\t\tbyForm : {self.byForm}\n\t\ttimestamp : {self.timestamp}\n\t\tinit_timestamp : {self.init_timestamp}\n\t\ttop_topics : {self.get_top_topics()}\n\t\t''')\n\n\nif __name__ == '__main__':\n\tprint(User.random())\n","sub_path":"user.py","file_name":"user.py","file_ext":"py","file_size_in_byte":3524,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"60"} +{"seq_id":"76557280","text":"import time, sqlite3\nimport getURL\n\ndb_file = \"caching.db\"\n\ndef search(c, url):\n c.execute(\"SELECT url FROM cache\")\n for row in c:\n if row[0] == url:\n return False\n return True\n\ndef getAge(c, url, age=-1):\n c.execute(\"SELECT time FROM cache WHERE url='\" + url + \"'\")\n for row in c:\n age = (time.time() - int(row[0]))/(60)\n return age\n\ndef saveURL(url):\n conn = sqlite3.connect(db_file)\n c = conn.cursor()\n c.execute(\"CREATE TABLE IF NOT EXISTS cache (url, html, time)\")\n \n if search(c, url):\n html = getURL.getURL(url).replace('\"', '"').replace(\"'\", \"'\")\n insert = \"'%s','%s','%s'\" % (url, html, str(int(time.time())))\n \n c.execute(\"INSERT INTO cache VALUES (\" + insert + \")\")\n conn.commit()\n elif not search(c, url) and getAge(c, url) >= 10:\n html = getURL.getURL(url)\n c.execute(\"UPDATE cache SET html='\" + html + \"', time='\" + str(int(time.time())) + \"' WHERE url='\" + url + \"'\")\n conn.commit()\n conn.close()\n\ndef getHTML(url, html=\"\"):\n conn = sqlite3.connect(db_file)\n c = conn.cursor()\n c.execute(\"CREATE TABLE IF NOT EXISTS cache (url, html, time)\")\n \n if not search(c, url):\n c.execute(\"SELECT html FROM cache WHERE url='\" + url + \"'\")\n for row in c:\n html = row[0]\n if search(c, url):\n saveURL(url)\n html = getHTML(url)\n \n conn.close()\n return html.replace('"', '\"').replace(\"'\", \"'\")\n\ndef main():\n url = \"http://www.githubstat.us/\"\n \n start = time.time()\n #saveURL(url)\n print(getHTML(url))\n print(round(time.time() - start, 5), \"seconds\")\n\nif __name__ == '__main__':\n main()\n","sub_path":"caching.py","file_name":"caching.py","file_ext":"py","file_size_in_byte":1713,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"60"} +{"seq_id":"411732085","text":"#!/usr/bin/env python\n# encoding: utf-8\n\n\"\"\"\nThis file is mainly to surface Rendering, This application contain lots of func modules like below.\n\"\"\"\n\nimport os\nimport render_common as common\nimport numpy as np\nfrom PIL import Image\nfrom vtk import vtkLight, VTK_LIGHT_TYPE_HEADLIGHT, vtkPolyDataMapper, vtkSmoothPolyDataFilter,\\\n vtkCamera, vtkRenderer, vtkRenderWindow, vtkImageData, vtkMassProperties,\\\n vtkWindowToImageFilter, vtkPNGWriter, vtkJPEGWriter, vtkBMPWriter, vtkCellPicker, vtkActor,\\\n vtkTriangleFilter, vtkRenderWindowInteractor, vtkAnnotatedCubeActor, vtkOrientationMarkerWidget,\\\n vtkDiscreteMarchingCubes\nfrom vtk.util.numpy_support import vtk_to_numpy\nfrom md.image3d.python.image3d import Image3d\n\nclass RendererMesh(object):\n \"\"\"\n Render mesh in a single window\n \"\"\"\n def __init__(self):\n \"\"\"\n constructor\n :param num_labels: the labels numbers,include background label\n if need off-screen rendering, use the function OffScreenRenderingOn()\n \"\"\"\n self.ren_win = vtkRenderWindow()\n self._render = vtkRenderer()\n self.ren_win.AddRenderer(self._render)\n self.iren = vtkRenderWindowInteractor()\n self.iren.SetRenderWindow(self.ren_win)\n\n self._camera = vtkCamera()\n self._render.SetActiveCamera(self._camera)\n\n self._light = vtkLight()\n self._light.SwitchOn()\n self._light.SetLightType(VTK_LIGHT_TYPE_HEADLIGHT)\n self._light.SetIntensity(1)\n\n self._render.AddLight(self._light)\n self._label_list = []\n\n self._bg_color = [0, 0, 0] # initialize the background color (black)\n\n self.create_orient_market()\n\n def create_orient_market(self):\n \"\"\"\n create OrientationMarkerWidget,imply the synchronization with the source data.\n :return: None\n \"\"\"\n axes_actor = vtkAnnotatedCubeActor()\n axes_actor.SetXPlusFaceText('A')\n axes_actor.SetXMinusFaceText('P')\n axes_actor.SetYMinusFaceText('R')\n axes_actor.SetYPlusFaceText('L')\n axes_actor.SetZMinusFaceText('I')\n axes_actor.SetZPlusFaceText('S')\n axes_actor.GetTextEdgesProperty().SetColor(1, 1, 0)\n axes_actor.GetTextEdgesProperty().SetLineWidth(2)\n axes_actor.GetCubeProperty().SetColor(0, 0, 1)\n self.axes = vtkOrientationMarkerWidget()\n self.axes.SetOrientationMarker(axes_actor)\n self.axes.SetInteractor(self.iren)\n self.axes.EnabledOn()\n self.axes.InteractiveOn()\n\n def get_mesh(self):\n \"\"\"\n do marchingcube practice,and store it in actor\n :param vtk_image_data: input data , type is vtkimagedata\n :param label_list: the label values\n :return:\n \"\"\"\n vtk_image_data = common.image3d_to_vtkimagedata(self._image_3d)\n for label_value in self._label_list:\n self.__get_marchingcube(vtk_image_data, label_value)\n\n def __get_marchingcube(self, vtk_image_data, value):\n \"\"\"\n do marchingcube practice,and store it in actor\n :param vtk_image_data: input data type is vtkimagedata\n :param value: label data need get surface\n :return:\n \"\"\"\n surface = vtkDiscreteMarchingCubes()\n surface.SetInputData(vtk_image_data)\n surface.SetValue(0, value)\n surface.ComputeNormalsOn()\n\n # smoothfilter = vtkSmoothPolyDataFilter()\n # smoothfilter.SetInputConnection(surface.GetOutputPort())\n # smoothfilter.SetNumberOfIterations(200)\n # smoothfilter.Update()\n\n surf_mapper = vtkPolyDataMapper()\n surf_mapper.SetInputConnection(surface.GetOutputPort())\n surf_mapper.ScalarVisibilityOff()\n actor = vtkActor()\n actor.SetMapper(surf_mapper)\n self._render.AddActor(actor)\n\n # def smooth_mesh(self):\n # \"\"\"\n # smooth meshs\n # :return:\n # \"\"\"\n # for label_value in self._label_list:\n # self.__smooth_mesh(label_value)\n\n # def __smooth_mesh(self, value):\n # \"\"\"\n # smooth the single mesh\n # :param value: label value\n # :param idx: label index\n # :return:\n # \"\"\"\n # print(self._label_list)\n # index_value = self._label_list.index(value)\n # actor_collection = self._render.GetActors()\n # actor_collection.InitTraversal()\n # actor = vtkActor()\n # for idx in range(index_value + 1):\n # actor = actor_collection.GetNextActor()\n #\n # smoothfilter = vtkSmoothPolyDataFilter()\n # smoothfilter.SetInputConnection(actor.GetMapper().GetInputPort())\n # smoothfilter.SetNumberOfIterations(200)\n # smoothfilter.Update()\n #\n # surf_mapper = vtkPolyDataMapper()\n # surf_mapper.SetInputConnection(smoothfilter.GetOutputPort())\n # actor.SetMapper(surf_mapper)\n\n def set_label_list(self, label_list):\n \"\"\"\n set/get label list.recode which labels are exist in property lut.\n :param label_list: label list\n :return:None\n \"\"\"\n self._label_list = label_list\n\n def get_label_list(self):\n \"\"\"\n set/get label list.recode which labels are exist in property lut.\n :return: label list\n \"\"\"\n return self._label_list\n\n def set_vtk_volume(self, vtk_image_data):\n \"\"\"\n :param vtk_image_data: input a vtkimagedata as source data\n :return: None\n \"\"\"\n if isinstance(vtk_image_data, vtkImageData):\n image_3d = common.vtkimagedata_to_image3d(vtk_image_data)\n self._image_3d = image_3d\n else:\n raise Exception(\"input data should be vtkImageData type\")\n\n def set_volume(self, image_3d):\n \"\"\"\n :param image_3d: input a image3d data as source data\n :return: None\n \"\"\"\n if isinstance(image_3d, Image3d):\n self._image_3d = image_3d\n else:\n raise Exception(\"input data should be Image3d type\")\n\n def __pre_render(self):\n \"\"\"\n do some things before render\n :return: None\n \"\"\"\n pass\n\n def render(self):\n \"\"\"\n render the vtkwindow\n :return:None\n \"\"\"\n common.logging.info(\"Render Begin!\")\n try:\n self.__pre_render()\n self.ren_win.Render()\n self.__post_render()\n except BaseException as e:\n common.logging.error(\"Exception:\" + str(e))\n common.logging.info(\"Render End!\")\n\n def __post_render(self):\n \"\"\"\n do some things after render\n :return: None\n \"\"\"\n pass\n\n def set_lut_property(self, property, label):\n \"\"\"\n set lut property.\n :param property: lut property dict\n :param label: the idx of lut property\n :return: None\n \"\"\"\n\n index_value = self._label_list.index(label)\n actor_collection = self._render.GetActors()\n actor_collection.InitTraversal()\n actor = vtkActor()\n for idx in range(index_value + 1):\n actor = actor_collection.GetNextActor()\n actor.GetProperty().SetColor(property[\"color\"][4 * index_value + 1] / 255,\n property[\"color\"][4 * index_value + 2] / 255,\n property[\"color\"][4 * index_value + 3] / 255)\n actor.GetProperty().SetOpacity(property[\"opacity\"][2 * index_value + 1])\n # actor.GetProperty().SetRepresentationToPoints()\n # actor.GetProperty().SetRepresentationToWireframe()\n actor.GetProperty().SetRepresentationToSurface()\n actor.GetProperty().SetInterpolation(2) # default VTK_GOURAUD\n\n def get_lut_property(self, label):\n \"\"\"\n get lut property\n :param label: the index of lut_property\n :return:\n \"\"\"\n index_value = self._label_list.index(label)\n actor_collection = self._render.GetActors()\n actor_collection.InitTraversal()\n actor = vtkActor()\n for idx in range(index_value + 1):\n actor = actor_collection.GetNextActor()\n color = actor.GetProperty().GetColor()\n opacity = actor.GetProperty().GetOpacity()\n lut_property = dict()\n lut_property[\"color\"] = color\n lut_property[\"opacity\"] = opacity\n\n return lut_property\n\n def set_bg_color(self, bg_color=(0., 0., 0.)):\n \"\"\"\n set/get background color\n :param bg_color: background color\n :return: None\n \"\"\"\n self._bg_color = bg_color\n self._render.SetBackground(self._bg_color)\n\n def set_camera(self, camera):\n \"\"\"\n set/get camera parameters\n :param camera: camera parameters\n :return:None\n \"\"\"\n self._camera.DeepCopy(camera)\n\n def get_camera(self):\n \"\"\"\n set/get camera parameters\n :return: None\n \"\"\"\n return self._render.GetActiveCamera()\n\n def reset_camera(self):\n \"\"\" reset camera parameters based on visible actors \"\"\"\n self._render.ResetCamera()\n\n def get_render(self):\n \"\"\"\n set/get camera parameters\n :return: None\n \"\"\"\n return self._render\n\n def get_output_to_pic(self, save_path):\n \"\"\"\n save window data to picture type\n :param save_path:file save location\n :return:None\n \"\"\"\n try:\n filter = vtkWindowToImageFilter()\n filter.SetInput(self.ren_win)\n filter.SetInputBufferTypeToRGB()\n filter.Update()\n file_type = os.path.basename(save_path).split(\".\")[-1]\n if file_type.lower() == 'png':\n screenwriter = vtkPNGWriter()\n screenwriter.SetInputData(filter.GetOutput())\n elif file_type.lower() == 'jpg' or file_type.lower() == 'jpeg':\n screenwriter = vtkJPEGWriter()\n screenwriter.SetInputConnection(filter.GetOutputPort())\n elif file_type.lower() == 'bmp':\n screenwriter = vtkBMPWriter()\n screenwriter.SetInputConnection(filter.GetOutputPort())\n else:\n raise ValueError('Unsupport file type')\n except BaseException as e:\n common.logging.error(\"please render the window first!:Exception\" + str(e))\n\n screenwriter.SetFileName(save_path)\n screenwriter.Write()\n\n def get_output_image_result(self):\n \"\"\"\n save window data to numpy.ndarray\n :return: numpy.ndarray data\n \"\"\"\n try:\n filter = vtkWindowToImageFilter()\n filter.Update()\n filter.SetInput(self.ren_win)\n filter.Update()\n image_data = filter.GetOutput()\n width, height, _ = image_data.GetDimensions()\n vtk_arr = image_data.GetPointData().GetScalars() # unsigned char\n components = vtk_arr.GetNumberOfComponents()\n array = vtk_to_numpy(vtk_arr).reshape(width, height, components)\n img = Image.fromarray(array)\n out_img = img.transpose(Image.FLIP_TOP_BOTTOM)\n array = np.asarray(out_img)\n return array\n except BaseException as e:\n common.logging.error(\"please render the window first!:Exception\" + str(e))\n return None\n\n def set_output_image_size(self, width=512, height=512):\n \"\"\"\n set/get output image size\n :param width: output image width\n :param height: output image height\n :return: None\n \"\"\"\n self.ren_win.SetSize(width, height)\n\n def get_output_image_size(self):\n \"\"\"\n set/get output image size\n :return: image size;[width,height]\n \"\"\"\n size = self.ren_win.GetSize()\n return size\n\n def set_output_type(self, dtype):\n \"\"\"\n set output type, include VTK_RGB,VTK_RGBA,VTK_ZBUFFER.default type is VTK_RGB.\n :param dtype: data type index\n :return: None\n \"\"\"\n self.window_to_image_filter.SetInputBufferType(dtype)\n\n def point_to_label(self, click_pos):\n \"\"\"\n get the clicked position corresponding label index\n :param click_pos: clicked position on screen\n :return:label index\n \"\"\"\n picker = vtkCellPicker()\n picker.Pick(click_pos[0], click_pos[1], 0, self._render)\n actor_collection = self._render.GetActors()\n actor_collection.InitTraversal()\n if picker.GetCellId() != -1:\n # if CellId != -1, mouse click on mesh\n pick_actor = picker.GetActor()\n for label_idx in range(actor_collection.GetNumberOfItems()):\n actor = actor_collection.GetNextItem()\n if pick_actor == actor:\n return label_idx + 1\n else:\n pass\n else:\n # if CellId = -1, mouse click on background\n common.logging.info(\"please click in foreground area!\")\n\n return None\n\n def hide_label(self, label):\n \"\"\"\n hind labels in render window\n :param label: hide surface of label, and show other label's surface\n :return:None\n \"\"\"\n actor_collection = self._render.GetActors()\n actor_collection.InitTraversal()\n dst_actor = vtkActor()\n for idx in range(label):\n dst_actor = actor_collection.GetNextItem()\n dst_actor.GetProperty().SetOpacity(0.0)\n\n def show_label(self, label):\n \"\"\"\n show labels in render window\n :param label: show surface of label, and hide other surfaces of label\n :return:None\n \"\"\"\n actor_collection = self._render.GetActors()\n actor_collection.InitTraversal()\n for idx in range(actor_collection.GetNumberOfItems()):\n actor = actor_collection.GetNextItem()\n if idx != label - 1:\n actor.GetProperty().SetOpacity(0.0)\n\n def cal_area(self, label):\n \"\"\"\n caculate the label surface area\n :param label: label index\n :return: area of label surface\n \"\"\"\n actor_collection = self._render.GetActors()\n actor_collection.InitTraversal()\n actor = vtkActor()\n for idx in range(label):\n actor = actor_collection.GetNextItem()\n\n poly_data = actor.GetMapper().GetInput()\n\n trianglefileter = vtkTriangleFilter()\n trianglefileter.SetInputData(poly_data)\n trianglefileter.Update()\n\n polygon_property = vtkMassProperties()\n polygon_property.SetInputData(trianglefileter.GetOutput())\n polygon_property.Update()\n\n area = polygon_property.GetSurfaceArea()\n\n return area\n\n","sub_path":"visualization/render_mesh.py","file_name":"render_mesh.py","file_ext":"py","file_size_in_byte":14806,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"60"} +{"seq_id":"252169507","text":"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Sun Jan 5 15:52:16 2020\n\n@author: ignac\n\"\"\"\nimport pf as pf\nimport numpy as np\nimport loaddata as ld \n\n\nB,G = pf.createBG()\nv,theta = pf.init_variables()\n\nfilename='data_3_bus.xlsx'\nGENDATA,DEMDATA,LINDATA,STODATA = ld.loadsystemdata(filename)\n\n# Pesp = GENDATA[:,1]\n# Qesp = GENDATA[:,2]\n\n\n\n# Pcalc = 3*[0]\n# Qcalc = 3*[0]\n\nPesp = np.array([200,250])\nQesp = np.array([0])\n\nYesp = np.array([200,250,0])\nYcalc = np.array([0,0,0])\n\nXk = np.array([0,0,1])\nXk1 = np.array([0,0,0])\n\nxP = [1,2]\nxdelta = [2]\n\nnodes_slack = [0]\nnodes_PV = [1]\nnodes_PQ = [2]\n\ndef updateV(v, nodes_slack,nodes_PV,nodes_PQ,Xk,xP,xdelta):\n numnodespv = len(xP)\n # numnodespq = len(xdelta)\n for i in nodes_slack:\n v[i] = 1\n for i in nodes_PV:\n v[i] = 1.02\n for i in range(len(nodes_PQ)):\n v[nodes_PQ[i]] = Xk[numnodespv+i]\n return v\n \n\ndef updateTheta(theta, nodes_slack,nodes_PV,nodes_PQ,Xk,xP,xdelta):\n # numnodespv = len(xP)\n numnodespq = len(xdelta)\n for i in nodes_slack:\n theta[i] = 0\n for i in range(len(nodes_PV)):\n theta[nodes_PV[i]] = Xk[i]\n for i in range(len(nodes_PQ)):\n theta[nodes_PQ[i]] = Xk[numnodespq+i]\n return theta\n\n\nPQesp = np.array([200,250,0])/100\nPQcalc = np.array([0,0,0])/100\n\n\nJ = np.ndarray((3,3))\n\nMAXITER = 5\nit=0\nepsilon = 0.01\nmaxdif = 10000\n\n\nwhile((it
In order to use actual data to predict COVID-19 demand please include the following columns: 'date', and 'total_admissions_actual'. \n See the Working with Actuals section for details about supported columns and data types.
\"\"\"\n\n def __init__(self, p: Parameters, actuals: pd.DataFrame, states: List[str], counties: List[str], population: int):\n super(EmpiricalModel, self).__init__(p)\n \n method = ForecastMethod.to_r_method(p.forecast_method)\n metric = ForecastedMetric.to_r_metric(p.forecasted_metric)\n n_days = p.n_days\n inf_days = p.infectious_days\n py_in_df = self.r_input_from_actuals(actuals, states, counties, population)\n payload = json.loads(py_in_df.to_json(orient=\"records\", date_format='iso'))\n response = requests.post(\n \"http://localhost:8765/\", \n json=payload, \n params={\"method\": method, \"metric\": metric, \"n_days\": n_days, \"inf_days\":inf_days}\n )\n if response.status_code == 400:\n st.markdown(f\"\"\"\n \n {response.text}![\" + path.splitext(file)[0]\n + \".jpg](input/\" + path.splitext(file)[0] + \".jpg){kind=link}
%s%s| Content | form | rspace | lspace | properties |
|---|---|---|---|---|
| &#x%0X; U+%04X | \" % (entry, entry))\n md.write(\"%s | \" % knownTables[name][\"value\"][\"form\"])\n md.write(serializeValue(knownTables[name][\"value\"],\n entry in knownTables[\"fence\"][\"singleChar\"],\n entry in knownTables[\"separator\"][\"singleChar\"]))\n totalEntryCount += 1\n md.write(\"|||
| String \")\n md.write(serializeString(entry))\n for character in entry:\n md.write(\" U+%04X\" % character)\n md.write(\" | \")\n md.write(\"%s | \" % knownTables[name][\"value\"][\"form\"])\n fence = \"multipleChar\" in knownTables[\"fence\"] and entry in knownTables[\"fence\"][\"multipleChar\"]\n separator = \"multipleChar\" in knownTables[\"separator\"] and entry in knownTables[\"separator\"][\"multipleChar\"]\n md.write(serializeValue(knownTables[name][\"value\"],\n fence,\n separator))\n totalEntryCount += 1\n md.write(\"|||
| &#x%0X; U+%04X | \" % (entry, entry))\n md.write(\"%s | \" % parsed_value[\"form\"])\n md.write(serializeValue(parsed_value,\n \"properties\" in parsed_value and \"fence\" in parsed_value[\"properties\"],\n \"properties\" in parsed_value and \"separator\" in parsed_value[\"properties\"]))\n md.write(\"|||
| String \")\n md.write(name)\n md.write(\" | \")\n md.write(\"%s | \" % otherEntriesWithMultipleCharacters[name][\"form\"])\n md.write(serializeValue(otherEntriesWithMultipleCharacters[name], False, False))\n md.write(\"
| Special Table | Entries | \");\nmd.write(\"|
|---|---|---|
Operators_2_ascii_chars | \");\nmd.write(\"%d entries (2-characters ASCII strings): \" % len(multipleCharTable));\nfor sequence in multipleCharTable:\n assert len(sequence) == 2\n md.write(\"'%s%s', \" % (chr(sequence[0]), chr(sequence[1])))\n totalBytes += 2\n totalEntryCount += 1\nmd.write(\" | \");\nmd.write(\"|
Operators_%s | \" % name);\n ranges = toRanges(knownTables[name][\"singleChar\"])\n if (3 * len(ranges) < 2 * count):\n md.write(\"%d entries (%d Unicode ranges): \" % (count, len(ranges)))\n for entry in ranges:\n md.write(\"%s, \" % stringifyRange(entry))\n totalBytes += 3 * len(ranges)\n else:\n md.write(\" |
| (Content, Form) keys | Category | |
|---|---|---|
%d entries (%d Unicode ranges) in %s form: \" % (count, len(ranges), knownTables[name][\"value\"][\"form\"]))\n for entry in ranges:\n md.write(\"%s, \" % stringifyRange(entry))\n totalBytes += 3 * len(ranges)\n else:\n md.write(\" |
| Category | Form | Encoding | rspace | lspace | properties |
|---|---|---|---|---|---|
| %s | \" % chr(ord('A') + value_index))\n md.write(\"%s | \" % knownTables[name][\"value\"][\"form\"]);\n form = formValueFromString(knownTables[name][\"singleChar\"])\n if category_for_form[form] >= 4:\n md.write(\"N/A | \")\n else:\n hexa = form + (category_for_form[form] << 2)\n category_for_form[form] += 1\n md.write(\"0x%01X | \" % hexa)\n md.write(serializeValue(knownTables[name][\"value\"], False, False))\n md.write(\"
' % (totalEntryCount, len(compact_table), 1 << bits_per_range));\nfor r in compact_table:\n if r[0] == r[1]:\n md.write('{0x%04X}, ' % r[0])\n else:\n md.write('[0x%04X–0x%04X], ' % (r[0], r[1]))\n rangeCount += 1\n\nmd.write('');\nmd.write('Key is Entry %% 0x4000, category encoding is Entry / 0x1000.