'\n #\n # return res\n\n\n@route('/gifts', method='GET')\ndef gifts():\n id_vk = request.GET.get('id_vk', '')\n low_price = request.GET.get('low_price', '')\n high_price = request.GET.get('high_price', '')\n\n # sport_list = XMLParser.deserialize_list('SerializedLists/sport')\n # shuffle(sport_list)\n # res = sport_list[0:50]\n\n sport_list = XMLParser.deserialize_list('SerializedLists/sport_cloth')\n shuffle(sport_list)\n #res = sport_list[0:50]\n res = []\n\n for i in range(50):\n if 'жен' not in sport_list[i]['name'].lower() and 'дев' not in sport_list[i]['name'].lower():\n res.append(sport_list[i])\n\n #\n # accessories_phones = XMLParser.deserialize_list('SerializedLists/accessories-phone')\n # shuffle(accessories_phones)\n # res.extend(accessories_phones[0:10])\n #\n # computer_games = XMLParser.deserialize_list('SerializedLists/computer_games')\n # shuffle(computer_games)\n # res.extend(computer_games[0:10])\n\n\n shuffle(res)\n return json.dumps(res)\n #return '' + id_vk + '
' + low_price + '
' + high_price + '
'\n\n\n@route('/text')\ndef test():\n f = open('1133677.xml')\n p = f.read()\n return p\n\n\n@route('/data/XML/
\"\n\thtml += \"
\"\n\treturn html\n\ngen(\"../src/builtin.pl\", html)\n","sub_path":"doc/builtin.py","file_name":"builtin.py","file_ext":"py","file_size_in_byte":1783,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"}
+{"seq_id":"101460525","text":"# Import > Random\nimport random\n\n# Function > Sum\ndef int_sum(int_list):\n # Initialization > Sum\n sum = 0\n\n # Loop > Update > Sum\n for integer in int_list:\n sum += integer\n\n # Return\n return sum\n\n# Initialization > (Integer : List)\nint_list = list(range(10))\n\n# Print\nprint('Program to calculate the sum of a random set of 10 integers.', end='\\n\\n')\n\n# Loop > Update > (Integer : List)\nfor item in int_list:\n int_list[item] = random.randint(0, 10)\n\n# Print\nprint('List:', int_list)\nprint('Sum:', int_sum(int_list))\n","sub_path":"Technologies/Python/Covenant University/v1/demo.v29.py","file_name":"demo.v29.py","file_ext":"py","file_size_in_byte":543,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"}
+{"seq_id":"162695659","text":"#!/usr/bin/python\n#\n# Tests the functionality of multTable plugin\n#\n#\n# To run this test on your own shell, simply run:\n#\n# python /web/courses/cs3214/spring2015/projects/student-plugins/alisherp_amind1/multTable/202_multTable_test.py eshoutput.py\n#\n#\n# @author Alisher Pazylbekov, Amin Davoodi\n#\nimport sys, imp, atexit, os\nsys.path.append(\"/home/courses/cs3214/software/pexpect-dpty/\");\nimport pexpect, shellio, signal, time, os, re, proc_check\n\n# Determine the path this file is in\nthisdir = os.path.dirname(os.path.realpath(__file__))\n\n#Ensure the shell process is terminated\ndef force_shell_termination(shell_process):\n\tc.close(force=True)\n\n# pulling in the regular expression and other definitions\n# this should be the eshoutput.py file of the hosting shell, see usage above\ndefinitions_scriptname = sys.argv[1]\ndef_module = imp.load_source('', definitions_scriptname)\n\n# you can define logfile=open(\"log.txt\", \"w\") in your eshoutput.py if you want logging!\nlogfile = None\nif hasattr(def_module, 'logfile'):\n logfile = def_module.logfile\n\n#spawn an instance of the shell, note the -p flags\nc = pexpect.spawn(def_module.shell, drainpty=True, logfile=logfile, args=['-p', thisdir])\n\natexit.register(force_shell_termination, shell_process=c)\n\n# set timeout for all following 'expect*' calls to 2 seconds\nc.timeout = 2 \n\n\nc.sendline(\"multTable\")\nassert c.expect(\" | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10\") == 0, \"Error: Output doesn't match\"\n\n\nshellio.success()\n","sub_path":"Systems/esh-spring-2015.git/src/plugins/202_multTable_test.py","file_name":"202_multTable_test.py","file_ext":"py","file_size_in_byte":1491,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"}
+{"seq_id":"287350580","text":"from django.urls import reverse\nfrom django.test.client import Client\n\nfrom pybb.models import ForumReadTracker, TopicReadTracker, Topic, Post, Forum\nfrom pybb.compat import get_user_model\n\nfrom tests.base import TestCase\n\n\nclass TrackersTest(TestCase):\n def test_read_tracking_multi_user(self):\n self.post\n\n topic_1 = self.topic\n topic_2 = Topic(name='topic_2', forum=self.forum, user=self.user)\n topic_2.save()\n\n Post(topic=topic_2, user=self.user, body='one').save()\n\n user_ann = get_user_model().objects.create_user('ann', 'ann@localhost', 'ann')\n client_ann = Client()\n client_ann.login(username='ann', password='ann')\n\n user_bob = get_user_model().objects.create_user('bob', 'bob@localhost', 'bob')\n client_bob = Client()\n client_bob.login(username='bob', password='bob')\n\n # Two topics, each with one post. everything is unread, so the db should reflect that:\n self.assertEqual(TopicReadTracker.objects.all().count(), 0)\n self.assertEqual(ForumReadTracker.objects.all().count(), 0)\n\n # user_ann reads topic_1, she should get one topic read tracker, there should be no forum read trackers\n client_ann.get(topic_1.get_absolute_url())\n self.assertEqual(TopicReadTracker.objects.all().count(), 1)\n self.assertEqual(TopicReadTracker.objects.filter(user=user_ann).count(), 1)\n self.assertEqual(TopicReadTracker.objects.filter(user=user_ann, topic=topic_1).count(), 1)\n self.assertEqual(ForumReadTracker.objects.all().count(), 0)\n\n # user_bob reads topic_1, he should get one topic read tracker, there should be no forum read trackers\n client_bob.get(topic_1.get_absolute_url())\n self.assertEqual(TopicReadTracker.objects.all().count(), 2)\n self.assertEqual(TopicReadTracker.objects.filter(user=user_bob).count(), 1)\n self.assertEqual(TopicReadTracker.objects.filter(user=user_bob, topic=topic_1).count(), 1)\n self.assertEqual(ForumReadTracker.objects.all().count(), 0)\n\n # user_bob reads topic_2, he should get a forum read tracker,\n # there should be no topic read trackers for user_bob\n client_bob.get(topic_2.get_absolute_url())\n self.assertEqual(TopicReadTracker.objects.all().count(), 1)\n self.assertEqual(ForumReadTracker.objects.all().count(), 1)\n self.assertEqual(ForumReadTracker.objects.filter(user=user_bob).count(), 1)\n self.assertEqual(ForumReadTracker.objects.filter(user=user_bob, forum=self.forum).count(), 1)\n\n # user_ann creates topic_3, there should be a new topic read tracker in the db\n topic_create_url = reverse('pybb:topic_create', kwargs={'forum_id': self.forum.id})\n response = client_ann.get(topic_create_url)\n values = self.get_form_values(response)\n values['body'] = 'topic_3'\n values['name'] = 'topic_3'\n values['poll_type'] = 0\n response = client_ann.post(topic_create_url, data=values, follow=True)\n\n self.assertEqual(TopicReadTracker.objects.all().count(), 2)\n self.assertEqual(TopicReadTracker.objects.filter(user=user_ann).count(), 2)\n self.assertEqual(ForumReadTracker.objects.all().count(), 1)\n\n topic_3 = Topic.objects.order_by('-updated')[0]\n self.assertEqual(topic_3.name, 'topic_3')\n\n # user_ann posts to topic_1, a topic they've already read, no new trackers should be created (existing one is updated)\n post_create_url = reverse('pybb:post_create', kwargs={'topic_id': topic_1.id})\n response = client_ann.get(post_create_url)\n values = self.get_form_values(response)\n values['body'] = 'test tracking'\n response = client_ann.post(post_create_url, values, follow=True)\n self.assertEqual(TopicReadTracker.objects.all().count(), 2)\n self.assertEqual(TopicReadTracker.objects.filter(user=user_ann).count(), 2)\n self.assertEqual(ForumReadTracker.objects.all().count(), 1)\n\n self.assertEqual(ForumReadTracker.objects.all().count(), 1)\n previous_time = ForumReadTracker.objects.all()[0].time_stamp\n\n # user bob reads topic 1 which he already read, topic tracker recreated, forum tracker untouched (topic 3 still unread)\n client_bob.get(topic_1.get_absolute_url())\n self.assertEqual(ForumReadTracker.objects.all().count(), 1)\n self.assertEqual(ForumReadTracker.objects.all()[0].time_stamp, previous_time)\n self.assertEqual(TopicReadTracker.objects.all().count(), 3)\n self.assertEqual(TopicReadTracker.objects.filter(user=user_bob).count(), 1)\n\n self.assertEqual(ForumReadTracker.objects.all().count(), 1)\n previous_time = ForumReadTracker.objects.all()[0].time_stamp\n\n # user bob reads topic 3, topic tracker purged, forum tracker updated\n client_bob.get(topic_3.get_absolute_url())\n self.assertEqual(ForumReadTracker.objects.all().count(), 1)\n self.assertGreater(ForumReadTracker.objects.all()[0].time_stamp, previous_time)\n self.assertEqual(TopicReadTracker.objects.all().count(), 2)\n self.assertEqual(TopicReadTracker.objects.filter(user=user_bob).count(), 0)\n\n def test_read_tracking_multi_forum(self):\n self.post\n\n topic_1 = self.topic\n topic_2 = Topic(name='topic_2', forum=self.forum, user=self.user)\n topic_2.save()\n\n Post(topic=topic_2, user=self.user, body='one').save()\n\n forum_2 = Forum(name='forum_2', description='bar', forum=self.parent_forum)\n forum_2.save()\n\n Topic(name='garbage', forum=forum_2, user=self.user).save()\n\n self.login_as(self.user)\n\n # everything starts unread\n self.assertEqual(ForumReadTracker.objects.count(), 0)\n self.assertEqual(TopicReadTracker.objects.count(), 0)\n\n # user reads topic_1, they should get one topic read tracker, there should be no forum read trackers\n self.client.get(topic_1.get_absolute_url())\n self.assertEqual(TopicReadTracker.objects.count(), 1)\n self.assertEqual(TopicReadTracker.objects.filter(user=self.user).count(), 1)\n self.assertEqual(TopicReadTracker.objects.filter(user=self.user, topic=topic_1).count(), 1)\n\n # user reads topic_2, they should get a forum read tracker,\n # there should be no topic read trackers for the user\n self.client.get(topic_2.get_absolute_url())\n self.assertEqual(TopicReadTracker.objects.count(), 0)\n self.assertEqual(ForumReadTracker.objects.count(), 1)\n self.assertEqual(ForumReadTracker.objects.filter(user=self.user).count(), 1)\n self.assertEqual(ForumReadTracker.objects.filter(user=self.user, forum=self.forum).count(), 1)\n\n def test_forum_mark_as_read(self):\n url = reverse('pybb:forum_mark_as_read')\n\n self.login_as(self.staff)\n\n response = self.client.get(url)\n\n self.assertRedirects(response, reverse('pybb:index'))\n\n self.assertEqual(ForumReadTracker.objects.filter(user=self.staff).count(), Forum.objects.count())\n\n def test_forum_mark_as_read_specific(self):\n sub_forum = Forum.objects.create(name='sub_forum', forum=self.forum)\n sub_sub_forum = Forum.objects.create(name='sub_sub_forum', forum=sub_forum)\n\n url = reverse('pybb:forum_mark_as_read')\n\n self.login_as(self.staff)\n\n response = self.client.post(url, data={\n 'forum_id': self.forum.pk\n })\n\n self.assertRedirects(response, self.forum.get_absolute_url())\n\n self.assertEqual(ForumReadTracker.objects.filter(user=self.staff, forum=self.forum).count(), 1)\n self.assertEqual(ForumReadTracker.objects.filter(user=self.staff, forum=sub_forum).count(), 1)\n self.assertEqual(ForumReadTracker.objects.filter(user=self.staff, forum=sub_sub_forum).count(), 1)\n\n def test_topic_tracker_redirect_view(self):\n self.login_as(self.staff)\n\n self.post\n\n response = self.client.get(reverse('pybb:topic_tracker_redirect', kwargs={\n 'topic_id': self.topic.pk\n }))\n\n self.assertRedirects(response, self.topic.get_absolute_url(), status_code=301)\n\n TopicReadTracker.objects.create(topic=self.topic,\n user=self.staff)\n\n response = self.client.get(reverse('pybb:topic_tracker_redirect', kwargs={\n 'topic_id': self.topic.pk\n }))\n\n self.client.get(self.topic.get_absolute_url())\n\n post = Post(topic=self.topic, user=self.user, body='test')\n post.save()\n\n response = self.client.get(reverse('pybb:topic_tracker_redirect', kwargs={\n 'topic_id': self.topic.pk\n }))\n\n self.assertRedirects(response, post.get_absolute_url(), status_code=301)\n","sub_path":"tests/views/test_trackers.py","file_name":"test_trackers.py","file_ext":"py","file_size_in_byte":8788,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"}
+{"seq_id":"11622582","text":"# IMPORTING PACKAGES\n\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport requests\nimport math\nfrom termcolor import colored as cl\nimport numpy as np\n\nplt.style.use('fivethirtyeight')\nplt.rcParams['figure.figsize'] = (15, 8)\n\n# EXTRACTING DATA\n\ndef get_historic_data(symbol):\n ticker = symbol\n iex_api_key = 'Tsk_30a2677082d54c7b8697675d84baf94b'\n api_url = f'https://sandbox.iexapis.com/stable/stock/{ticker}/chart/max?token={iex_api_key}'\n df = requests.get(api_url).json()\n \n date = []\n open = []\n high = []\n low = []\n close = []\n \n for i in range(len(df)):\n date.append(df[i]['date'])\n open.append(df[i]['open'])\n high.append(df[i]['high'])\n low.append(df[i]['low'])\n close.append(df[i]['close'])\n \n date_df = pd.DataFrame(date).rename(columns = {0:'date'})\n open_df = pd.DataFrame(open).rename(columns = {0:'open'})\n high_df = pd.DataFrame(high).rename(columns = {0:'high'})\n low_df = pd.DataFrame(low).rename(columns = {0:'low'})\n close_df = pd.DataFrame(close).rename(columns = {0:'close'})\n \n frames = [date_df, open_df, high_df, low_df, close_df]\n df = pd.concat(frames, axis = 1, join = 'inner')\n return df\n\nmsft = get_historic_data('MSFT')\nmsft = msft.set_index('date')\nmsft = msft[msft.index >= '2020-01-01']\nmsft.index = pd.to_datetime(msft.index)\nmsft.to_csv('msft.csv')\n\n# IMPORTING DATA\n\nmsft = pd.read_csv('msft.csv').set_index('date')\nmsft.index = pd.to_datetime(msft.index)\n\n# DEFINING SMA FUNCTION\n\ndef sma(data, n):\n sma = data.rolling(window = n).mean()\n return pd.DataFrame(sma)\n\nn = [20, 50]\nfor i in n:\n msft[f'sma_{i}'] = sma(msft['close'], i)\n\n# CREATING TRADING STRATEGY\n\ndef implement_ma_strategy(data, short_window, long_window):\n ma1 = short_window\n ma2 = long_window\n buy_price = []\n sell_price = []\n ma_signal = []\n signal = 0\n \n for i in range(len(data)):\n if ma1[i] > ma2[i]:\n if signal != 1:\n buy_price.append(data[i])\n sell_price.append(np.nan)\n signal = 1\n ma_signal.append(signal)\n else:\n buy_price.append(np.nan)\n sell_price.append(np.nan)\n ma_signal.append(0)\n elif ma2[i] > ma1[i]:\n if signal != -1:\n buy_price.append(np.nan)\n sell_price.append(data[i])\n signal = -1\n ma_signal.append(-1)\n else:\n buy_price.append(np.nan)\n sell_price.append(np.nan)\n ma_signal.append(0)\n else:\n buy_price.append(np.nan)\n sell_price.append(np.nan)\n ma_signal.append(0)\n \n return buy_price, sell_price, ma_signal\n\nsma_20 = msft['sma_20']\nsma_50 = msft['sma_50']\n\nbuy_price, sell_price, signal = implement_ma_strategy(msft['close'], sma_20, sma_50)\n\n# PLOTTING SMA TRADE SIGNALS\n\nplt.plot(msft['close'], alpha = 0.3, label = 'MSFT')\nplt.plot(sma_20, alpha = 0.6, label = 'SMA 20')\nplt.plot(sma_50, alpha = 0.6, label = 'SMA 50')\nplt.scatter(msft.index, buy_price, marker = '^', s = 200, color = 'darkblue')\nplt.scatter(msft.index, sell_price, marker = 'v', s = 200, color = 'crimson')\nplt.legend(loc = 'upper left')\nplt.title('MSFT SMA CROSSOVER TRADING SIGNALS')\nplt.show()\n\n# OUR POSITION IN STOCK (HOLD/SOLD)\n\nposition = []\nfor i in range(len(signal)):\n if signal[i] > 1:\n position.append(0)\n else:\n position.append(1)\n \nfor i in range(len(msft['close'])):\n if signal[i] == 1:\n position[i] = 1\n elif signal[i] == -1:\n position[i] = 0\n else:\n position[i] = position[i-1]\n \nsma_20 = pd.DataFrame(sma_20).rename(columns = {0:'sma_20'})\nsma_50 = pd.DataFrame(sma_50).rename(columns = {0:'sma_50'})\nbuy_price = pd.DataFrame(buy_price).rename(columns = {0:'buy_price'}).set_index(msft.index)\nsell_price = pd.DataFrame(sell_price).rename(columns = {0:'sell_price'}).set_index(msft.index)\nsignal = pd.DataFrame(signal).rename(columns = {0:'sma_signal'}).set_index(msft.index)\nposition = pd.DataFrame(position).rename(columns = {0:'sma_position'}).set_index(msft.index)\n\nframes = [sma_20, sma_50, buy_price, sell_price, signal, position]\nstrategy = pd.concat(frames, join = 'inner', axis = 1)\nstrategy = strategy.reset_index().drop('date', axis = 1)\n\n# BACKTESTING THE STRAGEGY\n\nmsft_ret = pd.DataFrame(np.diff(msft['close'])).rename(columns = {0:'returns'})\nsma_strategy_ret = []\n\nfor i in range(len(msft_ret)):\n try:\n returns = msft_ret['returns'][i]*strategy['sma_position'][i]\n sma_strategy_ret.append(returns)\n except:\n pass\n \nsma_strategy_ret_df = pd.DataFrame(sma_strategy_ret).rename(columns = {0:'sma_returns'})\n\ninvestment_value = 100000\nnumber_of_stocks = math.floor(investment_value/msft['close'][1])\nsma_investment_ret = []\n\nfor i in range(len(sma_strategy_ret_df['sma_returns'])):\n returns = number_of_stocks*sma_strategy_ret_df['sma_returns'][i]\n sma_investment_ret.append(returns)\n\nsma_investment_ret_df = pd.DataFrame(sma_investment_ret).rename(columns = {0:'investment_returns'})\ntotal_investment_ret = round(sum(sma_investment_ret_df['investment_returns']), 2)\nprint(cl('Profit gained from the strategy by investing $100K in MSFT : ${} in 1 Year'.format(total_investment_ret), attrs = ['bold']))","sub_path":"Strategy_code.py","file_name":"Strategy_code.py","file_ext":"py","file_size_in_byte":5393,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"}
+{"seq_id":"160040947","text":"import numpy as np\nfrom typing import Dict\nimport panel as pn\n\nfrom .core_chart import BaseChart\n\ncss = '''\n.dataframe table{\n border: none;\n}\n\n.panel-df table{\n width: 100%; \n border-collapse: collapse;\n border: none;\n}\n.panel-df td{\n white-space: nowrap;\n overflow: hidden;\n text-overflow: ellipsis;\n}\n'''\n\npn.extension(raw_css=[css])\n\n\nclass ViewDataFrame:\n chart_type: str = 'view_dataframe'\n _height: int = 0\n columns = None\n _width: int = 0\n chart = None\n source = None\n use_data_tiles = False\n\n\n def __init__(self, columns=None, width=400, height=400):\n self.columns = columns\n self._width = width\n self._height = height\n\n @property\n def name(self):\n return self.chart_type\n\n @property\n def width(self):\n return self._width\n\n @width.setter\n def width(self, value):\n self._width = value\n if self.chart is not None:\n self.update_dimensions(width=value)\n\n @property\n def height(self):\n return self._height\n\n @height.setter\n def height(self, value):\n self._height = value\n if self.chart is not None:\n self.update_dimensions(height=value)\n\n\n def initiate_chart(self, dashboard_cls):\n self.generate_chart(dashboard_cls._data)\n\n def generate_chart(self, data):\n if self.columns is None:\n self.columns = list(data.columns)\n self.chart = pn.Column(pn.pane.HTML(data[self.columns], style={'width':'100%', 'height':'100%', 'overflow-y':'hidden', 'font-size':'0.5vw','overflow-x':'auto'}), css_classes=['panel-df'])\n self.chart.sizing_mode = 'scale_both'\n\n def view(self):\n return self.chart\n\n def reload_chart(self, data, patch_update:bool):\n self.chart[0].object = data[self.columns]\n\n def update_dimensions(self, width=None, height=None):\n \"\"\"\n \n Parameters\n ----------\n\n \n\n Ouput\n -----\n \"\"\"\n if width is not None:\n self.chart.width = width\n if height is not None:\n self.chart.height = height\n\n def query_chart_by_range(self, active_chart:BaseChart, query_tuple, data):\n '''\n Description: \n\n -------------------------------------------\n Input:\n 1. active_chart: chart object of active_chart\n 2. query_tuple: (min_val, max_val) of the query [type: tuple]\n 3. datatile: None in case of Gpu Geo Scatter charts\n -------------------------------------------\n\n Ouput:\n '''\n min_val, max_val = query_tuple\n self.reload_chart(data.query(str(min_val)+\"<=\"+active_chart.x+\"<=\"+str(max_val)), False)\n\n def query_chart_by_indices(self, active_chart:BaseChart, old_indices, new_indices, data):\n '''\n Description: \n\n -------------------------------------------\n Input:\n 1. active_chart: chart object of active_chart\n 2. query_tuple: (min_val, max_val) of the query [type: tuple]\n 3. datatile: None in case of Gpu Geo Scatter charts\n -------------------------------------------\n\n Ouput:\n '''\n if '' in new_indices: new_indices.remove('') \n if len(new_indices) == 0:\n #case: all selected indices were reset\n #reset the chart\n self.reload_chart(data, False)\n elif len(new_indices) == 1:\n #just a single index\n self.reload_chart(data.query(active_chart.x+\"==\"+str(float(new_indices[0]))), False)\n else:\n new_indices_str = ','.join(map(str,new_indices))\n self.reload_chart(data.query(active_chart.x+\" in (\"+new_indices_str+\")\"), False)\n","sub_path":"python/cuXfilter/charts/core/core_view_dataframe.py","file_name":"core_view_dataframe.py","file_ext":"py","file_size_in_byte":3737,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"}
+{"seq_id":"70918209","text":"import pandas as pd\nimport numpy as np\nimport os\n\nif os.environ['COMPUTERNAME'] == 'DESKTOP-9DDE2RH': # PonceLab-Desktop 3\n os.system(r\"subst S: E:\\Network_Data_Sync\") # alias the disk if it has not been mounted.\n tmp_input = r\"D:\\ExpRecord_tmp.xlsx\"\n tmp_output = r\"D:\\ExpRecord_out.xlsx\"\n df_paths = [r\"S:\\Exp_Record_Alfa.xlsx\", r\"S:\\ExpSpecTable_Augment.xlsx\"]\nelif os.environ['COMPUTERNAME'] == 'DESKTOP-MENSD6S': # Home_WorkStation\n tmp_input = \"E:\\\\Monkey_Data\\\\ExpRecord_tmp.xlsx\"\n tmp_output = \"E:\\\\Monkey_Data\\\\ExpRecord_out.xlsx\"\n df_paths = [\"E:\\\\Monkey_Data\\\\Exp_Record_Alfa.xlsx\", \"E:\\\\Monkey_Data\\\\ExpSpecTable_Augment.xlsx\"]\n\n\ndef process_concat_cells(df, out_excel, Animal):\n \"\"\"Process the raw form excel copied from onenote to well formed excel\n Filter the array using `Animal` label\"\"\n \"\"\"\n if isinstance(df,str):\n df = pd.read_excel(df)\n df = df.dropna(axis=0, how='all') # drop lines full with nan\n df = df.reset_index(drop=True) # (index=range(df.shape[0])) # make the index contiguous!\n row_num = df.shape[0]\n #%%\n msk = ~ df.ephysFN.isna() # 500 rows\n # df.ephysFN[msk].str.contains(\"Alfa\") # 436 rows containing Alfa\n if Animal is \"Alfa\":\n search_str = \"Alfa|ALfa\"\n elif Animal is \"Beto\":\n search_str = \"Beto\"\n elif Animal is \"Both\":\n search_str = \"Beto|Alfa|ALfa\"\n else:\n search_str = \"Beto|Alfa|ALfa\"\n ExpEphysNames = df.ephysFN[df.ephysFN.str.contains(search_str)==True]\n RowidEphs = ExpEphysNames.index\n ExpBhv2Names = df.expControlFN[df.expControlFN.str.contains(search_str)==True]\n RowidBhv = ExpEphysNames.index\n assert RowidEphs is RowidBhv\n #%%\n df.comments.fillna(value=\"\", inplace=True)\n df.comments = df.comments.astype(\"str\")\n df.stimuli.fillna(value=\"\", inplace=True)\n df.stimuli = df.stimuli.astype(\"str\")\n #%%\n for Expi, rowi in enumerate(RowidEphs):\n if Expi != len(RowidEphs) - 1:\n nextrow = RowidEphs[Expi + 1]\n else:\n nextrow = row_num\n print(\"\\nExp %d\\t %s\\t %s\"%( Expi, df.ephysFN[rowi], df.expControlFN[rowi]))\n print(df.comments[rowi:nextrow].str.cat(sep=\"\\n\"))\n # \n stimuli_miss_cnt = 0 # Count how many stimuli entries are missed\n df_sort = df[df.ephysFN.str.contains(search_str)==True]\n df_sort = df_sort.reset_index(drop=True)\n for Expi, rowi in enumerate(RowidEphs):\n if Expi != len(RowidEphs) - 1:\n nextrow = RowidEphs[Expi + 1]\n else:\n nextrow = row_num\n df_sort.comments[Expi] = df.comments[rowi:nextrow].str.cat(sep=\"\\n\")\n df_sort.ephysFN[Expi] = df.ephysFN[rowi].strip() # use strip to get rid of leading and ending space ' '\n df_sort.expControlFN[Expi] = df.expControlFN[rowi].strip()\n if \"Stimuli\" in df.stimuli[rowi]:\n if \"Stimuli\" in df.stimuli[rowi][:8]:\n df_sort.stimuli[Expi] = \"N:\\\\\" + df.stimuli[rowi].strip()\n else:\n df_sort.stimuli[Expi] = df.stimuli[rowi].strip()\n else:\n df_sort.stimuli[Expi] = \"\"\n stimuli_miss_cnt += 1\n # print out info for further examination\n print(\"\\nExp %d\\t %s\\t %s\" % (Expi, df.ephysFN[rowi], df.expControlFN[rowi]))\n print(df.stimuli[rowi:nextrow].str.cat(sep=\"\"))\n if (\"Abort\" in df_sort.comments[Expi]) or (\"abort\" in df_sort.comments[Expi]):\n print(\"Do aborted! No worry.\")\n print(stimuli_miss_cnt, \"stimuli missing\")\n #%%\n df_sort.to_excel(out_excel,index=False, engine='xlsxwriter')\n # Use the 'xlsxwriter' engine will avoid some Illegal Character Error in openpyxl\n # https://cooperluan.github.io/python/2015/01/08/pandas-daochu-excel-zhong-de-luan-ma-wen-ti/\n return df_sort\n\ndef available_Explabel():\n Animal_strs = [\"Alfa\", \"Beto\"]\n for animal, out_path in zip(Animal_strs, df_paths):\n df_old = pd.read_excel(out_path)\n print(\"Existing labels for %s:\"%animal)\n print(list(df_old.Exp_collection.unique()))\n\ndef concat_table(df_old, df_new, addexplabel=None, out_path=None):\n \"\"\"Obsolete, use the function below instead\"\"\"\n if isinstance(df_old,str):\n out_path = df_old\n df_old = pd.read_excel(df_old)\n if isinstance(df_new,str):\n df_new = pd.read_excel(df_new)\n # Check if the experiments in the new datatable has been recorded\n break_flag = False\n for name in df_new.expControlFN:\n if (df_old.expControlFN==name).any():\n print(\"%s has been recorded in the excel index %d, please check\"%(name, (df_old.expControlFN==name).nonzero()[0][0]))\n break_flag = True\n if break_flag:\n raise ValueError\n if addexplabel is not None:\n df_new.Exp_collection[:] = addexplabel\n df_cat = pd.concat([df_old,df_new], axis=0, ignore_index=True)\n df_cat.to_excel(out_path,index=False)\n return df_cat\n\ndef sort_merge_table(df_sort, addexplabel=None):\n \"\"\"Current version to combine new table and old one.\"\"\"\n Animal_strs = [\"Alfa\", \"Beto\"]\n if isinstance(df_sort,str):\n df_sort = pd.read_excel(df_sort)\n # loop through animal name and sort corresponding exp to the collection\n for animal, out_path in zip(Animal_strs, df_paths):\n print(\"Sort out exp for %s, adding \"%animal)\n df_old = pd.read_excel(out_path) # load the old exp collection\n id_col = []\n for idx in df_sort.index:\n name = df_sort.expControlFN[idx]\n if name is np.nan:\n print(\"%s Empty bhv file entry encountered\" % df_sort.ephysFN[idx])\n continue\n if animal in name:\n if (df_old.expControlFN==name).any():\n print(\"%s has been recorded in the excel index %d, please check. Skipping.\"%(name, (df_old.expControlFN==name).nonzero()[0][0]))\n else:\n id_col.append(idx)\n if len(id_col) == 0:\n print(\"\\nNo new experiments to add! Continue.\")\n continue\n df_ftr = df_sort.iloc[id_col].copy()\n print(df_ftr.expControlFN)\n if addexplabel is not None:\n df_ftr.Exp_collection[:] = addexplabel\n df_cat = pd.concat([df_old, df_ftr], axis=0, ignore_index=True)\n df_cat.to_excel(out_path,index=False, engine='xlsxwriter') # write to the excel of all old experiments \n return\n\nif __name__ == '__main__':\n os.startfile(tmp_input)\n Animal = input(\"Which animal to parse from %s?\" % (tmp_input) )\n if not Animal == \"out\":\n if len(Animal) == 0:\n Animal = \"Both\"#\"Beto\" # \"Alfa\" \"ALfa\"\n df_sort = process_concat_cells(tmp_input, tmp_output, Animal=Animal)\n else: # try to open the tempory output directly and parse from it.\n pass\n available_Explabel() # Print the available Exp labels for the monkeys\n try:\n os.startfile(tmp_output)\n except:\n print(\"Open %s failed\"%tmp_output)\n pass\n Label = input(\"Add Exp labels to the new Exps?\")\n if len(Label) == 0:\n Label = None # \"ReducDimen_Evol\"\n sort_merge_table(tmp_output, addexplabel=Label) # df_sort","sub_path":"Exp_Record_ManageLib.py","file_name":"Exp_Record_ManageLib.py","file_ext":"py","file_size_in_byte":7177,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"}
+{"seq_id":"617708230","text":"# -*- coding: utf-8 -*-\r\n\"\"\"\r\nCreated on Tue Jul 9 13:05:13 2019\r\n\r\nNathan Marshall\r\nCreates a GUI for adjusting COLTRIMS parameters. Supports saving adjusted\r\nparameters to a text file named param_adjust_savestate.txt and reading previous\r\nparameters from this file if it already exists. \r\n\"\"\"\r\nfrom matplotlib import pyplot as plt\r\nfrom matplotlib.backends.backend_tkagg import (\r\n FigureCanvasTkAgg, NavigationToolbar2Tk)\r\nfrom matplotlib.figure import Figure\r\nimport tkinter as tk\r\nfrom ColtrimsAnalysis import hist1d\r\nimport numpy as np\r\nfrom scipy.optimize import curve_fit\r\n\r\n\r\nclass ParameterGUI:\r\n '''Creates GUI for adjusting COLTRIMS parameters'''\r\n \r\n def __init__(self, root, xyt_list, masses, charges, param_list):\r\n da_to_au = 1822.8885\r\n l, z0, vz0, x_jet, vx_jet, y_jet, vy_jet, C, t0 = param_list\r\n self.param_list = param_list\r\n self.m1, self.m2, self.m3 = [da_to_au*i for i in masses]\r\n self.xyt_list = xyt_list\r\n root.title('Parameter Adjustment Tool')\r\n root.bind('\" + predicate + \"
\"\n\thtml += \"\" + short + \"
\"\n\tfor template in templates:\n\t\thtml += \"\"\n\thtml += \"\"\n\thtml += \"%s
\" % \"
\".join(\n self._available)\n self.response.write(availableMsg)\n logging.info(availableMsg)\n\n if self._outofstock:\n outofstockMsg = \"OUT OF STOCK:
%s
\" % \\\n \"
\".join(self._outofstock)\n self.response.write(outofstockMsg)\n logging.info(outofstockMsg)\n\n self._ndb_entity.availableURLs = cPickle.dumps(self._available)\n self._ndb_entity.put()\n\n newAvailable = [url for url in self._available\n if url not in availableLastCheck]\n notAvailable = [url for url in availableLastCheck\n if url not in self._available]\n logging.info(\"newAvailable: %s, notAvailable: %s\",\n newAvailable, notAvailable)\n\n if newAvailable or notAvailable:\n subject = \"Virgin iPhone 6+ stock update\"\n body = \"\"\"\n\t\t\tNew available:\\n %s\n\n\t\t\tNot available anymore: \\n %s\n\n\t\t\t\"\"\" % (\"\\n\".join( newAvailable ), \"\\n\".join( notAvailable ))\n return (subject, body)\n","sub_path":"virgin.py","file_name":"virgin.py","file_ext":"py","file_size_in_byte":2876,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"603070718","text":"import heapq\n\n\ndef run(start, heuristic, greedy=False):\n \"\"\"Run the a* algorithm\n\n :param start: Initial puzzle\n :param heuristic: Heuristic function that will be used to compute f scores\n :returns: Final puzzle, time complexity and space complexity\n :rtype: Puzzle, int, int\n\n \"\"\"\n start.apply_heuristic(heuristic)\n open_set = {start}\n closed_set = set()\n\n heap = []\n heapq.heappush(heap, (start.f_score, start))\n\n time_comp = 0\n space_comp = 0\n\n g_inc = int(not greedy)\n\n while open_set:\n _, e = heapq.heappop(heap)\n closed_set.add(e)\n if e.done():\n return e, time_comp, space_comp\n open_set.remove(e)\n for s in e.expand():\n if s not in closed_set:\n s.apply_heuristic(heuristic)\n s.g_score = e.g_score + g_inc\n if s not in open_set:\n open_set.add(s)\n space_comp = max(len(open_set), len(closed_set), space_comp)\n heapq.heappush(heap, (s.f_score, s))\n time_comp += 1\n return None, time_comp, space_comp\n","sub_path":"src/a_star.py","file_name":"a_star.py","file_ext":"py","file_size_in_byte":1130,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"301109258","text":"\"\"\"\n1110. Delete Nodes And Return Forest\nGiven the root of a binary tree, each node in the tree has a distinct value.\n\nAfter deleting all nodes with a value in to_delete, we are left with a forest (a disjoint union of trees).\n\nReturn the roots of the trees in the remaining forest. You may return the result in any order.\n\n \n\nExample 1:\nInput: root = [1,2,3,4,5,6,7], to_delete = [3,5]\nOutput: [[1,2,null,4],[6],[7]]\n\"\"\"\n\n# bfs, took 20min to finish\n# Runtime: 60 ms, faster than 96.94% of Python3 online submissions for Delete Nodes And Return Forest.\n# Memory Usage: 14.4 MB, less than 100.00% of Python3 online submissions for Delete Nodes And Return Forest.\n# Definition for a binary tree node.\n# class TreeNode:\n# def __init__(self, x):\n# self.val = x\n# self.left = None\n# self.right = None\n\nclass Solution:\n def delNodes(self, root: TreeNode, to_delete: List[int]) -> List[TreeNode]:\n to_delete = set(to_delete)\n res = set([])\n res.add(root)\n deque = [root]\n while deque:\n node = deque.pop(0)\n if node.val in to_delete:\n if node in res:\n res.remove(node)\n if node.left:\n res.add(node.left)\n if node.right:\n res.add(node.right)\n \n if node.left:\n deque.append(node.left)\n if node.left.val in to_delete:\n node.left = None\n if node.right:\n deque.append(node.right)\n if node.right.val in to_delete:\n node.right = None\n return res","sub_path":"Widen/LC1110_Delete_Nodes_And_Return_Forest.py","file_name":"LC1110_Delete_Nodes_And_Return_Forest.py","file_ext":"py","file_size_in_byte":1667,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"534713322","text":"# -*- coding:utf-8 -*-\n\n\"\"\"use knn \"\"\"\nfrom scipy.spatial import distance\n\n\"\"\"计算两点距离\"\"\"\n\n\ndef euc(a, b):\n return distance.euclidean(a, b)\n\n\nclass ScrappyKNN():\n def fit(self, x_train, y_train):\n\n self.x_train = x_train\n self.y_train = y_train\n\n def predict(self, x_test):\n predict = []\n for row in x_test:\n label = self.closest(row)\n predict.append(label)\n return predict\n\n \"\"\"计算最近相邻点，row代表x，输出即为y\"\"\"\n\n def closest(self, row):\n best_dist = euc(row, self.x_train[0]) # 标记目前位置发现的最短距离，取第一个训练集为默认\n best_index = 0\n for i in range(1, len(self.x_train)):\n dist = euc(row, self.x_train[i]) # 计算每个训练集中点与训练集点的距离\n if dist < best_dist:\n best_dist = dist\n best_index = i\n return self.y_train[best_index]\n\n\nfrom sklearn import datasets\n\niris = datasets.load_iris()\n\nx = iris.data # features\ny = iris.target # label\n\n\"\"\"数据集被分成两部分，训练集和测试集\"\"\"\nfrom sklearn.cross_validation import train_test_split\n\nx_train, x_test, y_train, y_test = train_test_split(x, y, test_size=.5)\n\n\"\"\"使用自定义实现的KNN分类器\"\"\"\nmy_classifer = ScrappyKNN()\nmy_classifer.fit(x_train, y_train)\npredict = my_classifer.predict(x_test)\n\n\"\"\"使用测试集计算决策树分类器预测准确率\"\"\"\nfrom sklearn.metrics import accuracy_score\n\nprint(accuracy_score(y_test, predict))\n","sub_path":"google/KNN.py","file_name":"KNN.py","file_ext":"py","file_size_in_byte":1558,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"615287170","text":"\"\"\"\nDjango settings for cahierdulogement project.\n\nFor more information on this file, see\nhttps://docs.djangoproject.com/en/1.6/topics/settings/\n\nFor the full list of settings and their values, see\nhttps://docs.djangoproject.com/en/1.6/ref/settings/\n\"\"\"\n\n# Build paths inside the project like this: os.path.join(BASE_DIR, ...)\nimport os\nBASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(__file__)))\n\nADMINS = (\n ('Marc', 'marcwebbie@gmail.com'),\n)\n\n# Quick-start development settings - unsuitable for production\n# See https://docs.djangoproject.com/en/1.6/howto/deployment/checklist/\n\n# SECURITY WARNING: keep the secret key used in production secret!\nSECRET_KEY = os.environ[\"SECRET_KEY\"]\nDEBUG = False\nTEMPLATE_DEBUG = DEBUG\n\nALLOWED_HOSTS = ['.atonyx.com', '.atonyx.fr']\n\n\nINSTALLED_APPS = (\n 'django.contrib.admin',\n 'django.contrib.auth',\n 'django.contrib.contenttypes',\n 'django.contrib.sessions',\n 'django.contrib.messages',\n 'django.contrib.staticfiles',\n\n 'south',\n\n 'cahierdulogement.accounts',\n 'cahierdulogement.cahiers',\n 'cahierdulogement.utils',\n 'cahierdulogement.villes',\n)\n\nMIDDLEWARE_CLASSES = (\n 'django.contrib.sessions.middleware.SessionMiddleware',\n 'django.middleware.common.CommonMiddleware',\n 'django.middleware.csrf.CsrfViewMiddleware',\n 'django.contrib.auth.middleware.AuthenticationMiddleware',\n 'django.contrib.messages.middleware.MessageMiddleware',\n 'django.middleware.clickjacking.XFrameOptionsMiddleware',\n)\n\nTEMPLATE_CONTEXT_PROCESSORS = (\n 'django.contrib.auth.context_processors.auth',\n 'django.core.context_processors.request',\n)\n\nROOT_URLCONF = 'cahierdulogement.urls'\n\nWSGI_APPLICATION = 'cahierdulogement.wsgi.application'\n\n\nDATABASES = {\n 'default': {\n 'ENGINE': 'django.db.backends.sqlite3',\n 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),\n }\n}\n\n# Internationalization\n# https://docs.djangoproject.com/en/1.6/topics/i18n/\n\nLANGUAGE_CODE = 'fr-FR'\n\nTIME_ZONE = 'Europe/Paris'\n\nUSE_I18N = True\n\nUSE_L10N = True\n\nUSE_TZ = True\n\n\n# Static files (CSS, JavaScript, Images)\n# https://docs.djangoproject.com/en/1.6/howto/static-files/\n\nSTATIC_URL = '/static/'\nMEDIA_URL = '/media/'\n\n# /var/static/cahierdulogement/\nSTATIC_ROOT = \"/var/static/cahierdulogement/\"\nMEDIA_ROOT = os.environ.get('MEDIA_ROOT', os.path.join(BASE_DIR, 'media'))\n\nTEMPLATE_DIRS = (\n os.path.join(BASE_DIR, 'templates'),\n)\n\nSTATICFILES_DIRS = (\n os.path.join(BASE_DIR, 'static'),\n MEDIA_ROOT,\n)\n\n\nLOGIN_URL = '/login/'\nLOGIN_REDIRECT_URL = \"/\"\n\n\n# EMAIL_HOST = 'smtp.gmail.com'\n# EMAIL_HOST_USER = 'clogement@gmail.com'\n# EMAIL_HOST_PASSWORD = os.environ.get[\"EMAIL_HOST_PASSWORD\"]\n# EMAIL_PORT = 587\n# EMAIL_USE_TLS = True\n\nSOUTH_TESTS_MIGRATE = False\n","sub_path":"cahierdulogement/settings/__init__.py","file_name":"__init__.py","file_ext":"py","file_size_in_byte":2757,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"114341197","text":"import cv2\nimport time\nimport copy\nimport ocr\nimport pandas as pd\nstart_time = time.time()\n\ndef ResizeWithAspectRatio(image, width=None, height=None, inter=cv2.INTER_AREA):\n\tdim = None\n\t(h, w) = image.shape[:2]\n\n\tif width is None and height is None:\n\t\treturn image\n\tif width is None:\n\t\tr = height / float(h)\n\t\tdim = (int(w * r), height)\n\telse:\n\t\tr = width / float(w)\n\t\tdim = (width, int(h * r))\n\n\treturn cv2.resize(image, dim, interpolation=inter)\n\n\n\ndef video_capture(url,f):\n\tcap = cv2.VideoCapture(url)\n\tcount = 0\n\tf_list = []\n\theight = 0\n\twidth = 0\n\twhile cap.isOpened():\n\t\tret,frame = cap.read()\n\t\tif ret == True:\n\n\t\t\tif(count%f==0):\n\t\t\t\tr_frame = ResizeWithAspectRatio(frame, height=1000)\n\t\t\t\tf_list.append(r_frame)\n\t\t\tcount = count + 1\n\t\t\tif cv2.waitKey(10) & 0xFF == ord('q'):\n\t\t\t\tbreak\n\t\telse:\n\t\t\tbreak\n\tcap.release()\n\treturn f_list\n\n\ndef video_generate(f_list,name,fps):\n\t(he, wi) = f_list[0].shape[:2]\n\tout = cv2.VideoWriter(name,0,fps, (wi,he))\n\tfor i in range(len(f_list)):\n\t\tout.write(f_list[i])\n\tout.release()\n\n\ndef live_detection(f_list):\n\timage_template1 = cv2.imread('image.png')\n\timage_template1 = cv2.cvtColor(image_template1, cv2.COLOR_BGR2GRAY)\n\tx_list = []\n\tvaluesl = []\n\tvalues = []\n\tc=0\n\tfor frame in f_list:\n\t\theight, width = frame.shape[:2]\n\t\tim = copy.copy(frame)\n\t\ttop_left_x,top_left_y = int(height * .8), int(width * 0)\n\t\tbottom_right_x,bottom_right_y = int(height*1), int(width*1)\n\n\t\tcv2.rectangle(frame, (top_left_y,top_left_x), (bottom_right_y,bottom_right_x), (127,50,127), 3)\n\t\tcropped = frame[top_left_x:bottom_right_x , top_left_y:bottom_right_y]\n\n\t\timage1 = cv2.cvtColor(cropped, cv2.COLOR_BGR2GRAY)\n\t\torb1 = cv2.ORB_create(1000, 1.2, 8, 15, 0,2)\n\t\tkp1, des1 = orb1.detectAndCompute(image1, None)\n\t\tkp2, des2 = orb1.detectAndCompute(image_template1, None)\n\t\tbf1 = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)\n\t\tmatches1 = bf1.match(des1,des2)\n\t\tmatches1 = sorted(matches1, key=lambda val: val.distance)\n\t\tmatches1 = len(matches1)\n\t\tx = ''\n\t\toutput_string = str(matches1)\n\t\tcv2.putText(frame, output_string, (20,20), cv2.FONT_HERSHEY_COMPLEX, 1, (0,255,0), 2)\n\t\tthreshold = 290\n\t\tif matches1 > threshold:\n\t\t\tx = 'L'\n\t\t\tcv2.putText(frame,'L',(140,20), cv2.FONT_HERSHEY_COMPLEX, 2 ,(255,0,0), 2)\n\t\t\tScore,Wicket,Overs,Bat1,Bat2,current = ocr.RunOcr(frame)\n\t\t\tvaluesl.append([Score,Wicket,Overs,Bat1,Bat2,current])\n\t\telse:\n\t\t\tx = 'R'\n\t\t\tcv2.putText(frame,'R',(140,20), cv2.FONT_HERSHEY_COMPLEX, 2 ,(0,0,255), 2)\n\n\t\tScore,Wicket,Overs,Bat1,Bat2,current = ocr.RunOcr(frame)\n\t\tvalues.append([x,Score,Wicket,Overs,Bat1,Bat2,current])\n\t\tc=c+1\n\t\tif(c%70==0):\n\t\t\tprint(c)\n\t\tx_list.append(frame)\n\treturn x_list, valuesl, values\n\n\nv_url = './video.avi'\nf_list = []\np_list = []\nvaluesl = []\nvalues = []\nf_list= video_capture(v_url,1)\nprint(len(f_list))\n\n\np_list, valuesl, values = live_detection(f_list)\n\ndf = pd.DataFrame(data=valuesl)\ndf.to_csv(\"./filel.csv\", sep=',',index=False)\n\ndf2 = pd.DataFrame(data=values)\ndf2.to_csv(\"./file.csv\", sep=',',index=False)\n\n#video_generate(f_list,'video_processed.avi',30)\n\ncv2.destroyAllWindows()\nprint(\"--- %s seconds ---\" % (time.time() - start_time))","sub_path":"OCR on cricket images/Data_collection.py","file_name":"Data_collection.py","file_ext":"py","file_size_in_byte":3122,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"579150427","text":"#爬取起点网上面的书\r\nimport requests\r\nfrom bs4 import BeautifulSoup\r\nimport sys\r\nimport threading\r\nclass download(object):\r\n def __init__(self):\r\n self.target = \"https://read.qidian.com/hankread/1016414271/79945909\"\r\n self.base_target = \"https://read.qidian.com/chapter/_Q3cDZ7Pr5CLTMDvzUJZaQ2/\"\r\n self.path = 'D:\\\\Python project\\\\爬虫\\\\爬取文字\\\\小说.txt'\r\n self.num = 151\r\n def get_tirtle(self,target,num):\r\n req = requests.get(url=target)\r\n html = req.text\r\n tirtle_bf = BeautifulSoup(html)\r\n tirtle1 = tirtle_bf.find_all('div',class_=\"text-head\")\r\n tirtle = tirtle1[num].text\r\n return tirtle\r\n def get_content(self,target,num):\r\n req = requests.get(url=target)\r\n html = req.text\r\n text_bf = BeautifulSoup(html)\r\n text1 = text_bf.find_all('div', class_=\"read-content j_readContent\")\r\n text = text1[num].text\r\n return text\r\n #def get_url(self):\r\n #return\r\n def write(self,tirtle,text,path):\r\n f = open(path,'a',encoding='utf-8')\r\n f.write(tirtle + '\\n')\r\n f.writelines(text)\r\nif __name__ == '__main__':\r\n spider = download()\r\n print('开始下载')\r\n for i in range(spider.num):\r\n spider.write(spider.get_tirtle(spider.target,i),spider.get_content(spider.target,i),spider.path)\r\n sys.stdout.write(\" 已下载:%.3f%%\" % float(i / spider.num) + '\\r')\r\n sys.stdout.flush()\r\n print('下载完成')","sub_path":"spider_content.py","file_name":"spider_content.py","file_ext":"py","file_size_in_byte":1501,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"282236880","text":"# Chapter 10: Creating Components and Extending Functionality\r\n# Recipe 3: Making a ToolWindow\r\n#\r\nimport wx\r\nimport wx.lib.pubsub as pubsub\r\n\r\n# message data will be tool id\r\nMSG_TOOL_CLICKED = ('toolwin', 'clicked')\r\n\r\nclass ToolWindow(wx.MiniFrame):\r\n def __init__(self, parent, rows=1, columns=0, title=''):\r\n style = wx.CAPTION|wx.SYSTEM_MENU|\\\r\n wx.SIMPLE_BORDER|wx.CLOSE_BOX\r\n super(ToolWindow, self).__init__(parent,\r\n title=title,\r\n style=style)\r\n\r\n # Attributes\r\n self.panel = ToolPanel(self, rows, columns)\r\n\r\n # Layout\r\n sizer = wx.BoxSizer(wx.VERTICAL)\r\n sizer.Add(self.panel, 1, wx.EXPAND)\r\n self.SetSizer(sizer)\r\n\r\n def AddTool(self, id, bmp, helplbl=''):\r\n \"\"\"Add a tool to the window\"\"\"\r\n self.panel.AddTool(id, bmp, helplbl)\r\n self.Fit()\r\n\r\nclass ToolPanel(wx.Panel):\r\n \"\"\"Panel to hold the tools\"\"\"\r\n def __init__(self, parent, rows, columns):\r\n super(ToolPanel, self).__init__(parent)\r\n\r\n # Attributes\r\n self.sizer = wx.FlexGridSizer(rows, columns, 5, 5)\r\n\r\n # Setup\r\n self.SetSizer(self.sizer)\r\n\r\n # Event Handlers\r\n self.Bind(wx.EVT_BUTTON, self.OnButton)\r\n\r\n def AddTool(self, id, bmp, helplbl=''):\r\n tool = wx.BitmapButton(self, id, bmp)\r\n tool.SetToolTipString(helplbl)\r\n self.sizer.Add(tool)\r\n self.Layout()\r\n\r\n def OnButton(self, event):\r\n \"\"\"Notify clients when tool is clicked\"\"\"\r\n pubsub.Publisher.sendMessage(MSG_TOOL_CLICKED,\r\n event.GetId())\r\n\r\nclass EditorToolWindow(ToolWindow):\r\n def __init__(self, parent, rows, columns, title):\r\n ToolWindow.__init__(self, parent, rows, \r\n columns, title)\r\n\r\n # Setup\r\n for artid, tid in ((wx.ART_CUT, wx.ID_CUT),\r\n (wx.ART_COPY, wx.ID_COPY),\r\n (wx.ART_PASTE, wx.ID_PASTE),\r\n (wx.ART_UNDO, wx.ID_UNDO),\r\n (wx.ART_REDO, wx.ID_REDO)):\r\n bmp = wx.ArtProvider.GetBitmap(artid, wx.ART_MENU)\r\n self.AddTool(tid, bmp)\r\n\r\nclass ToolWindowApp(wx.App):\r\n def OnInit(self):\r\n self.frame = MainWindow(None,\r\n title=\"ToolWindow Recipe\")\r\n self.frame.CenterOnScreen()\r\n self.frame.Show()\r\n self.toolw = EditorToolWindow(None, rows=2, columns=3,\r\n title=\"Editor Commands\")\r\n # Position ToolWindow to right of main window\r\n mpos = self.frame.GetPosition()\r\n msize = self.frame.GetSize()\r\n self.toolw.SetPosition((mpos[0] + msize[0], mpos[1]))\r\n self.toolw.Show()\r\n return True\r\n\r\nclass MainWindow(wx.Frame):\r\n \"\"\"Main application window\"\"\"\r\n def __init__(self, parent, *args, **kwargs):\r\n wx.Frame.__init__(self, parent, *args, **kwargs)\r\n\r\n # Attributes\r\n self.panel = wx.TextCtrl(self, style=wx.TE_MULTILINE)\r\n\r\n # Layout\r\n sizer = wx.BoxSizer(wx.VERTICAL)\r\n sizer.Add(self.panel, 1, wx.EXPAND)\r\n self.SetSizer(sizer)\r\n self.SetInitialSize((300, 300))\r\n\r\n # Message Handler\r\n pubsub.Publisher.subscribe(self.OnTool, MSG_TOOL_CLICKED)\r\n\r\n def __del__(self):\r\n pubsub.Publisher.unsubscribe(self.OnTool)\r\n\r\n def OnTool(self, msg):\r\n \"\"\"Observer function for tool window events\"\"\"\r\n toolid = msg.data\r\n actionmap = { wx.ID_CUT : self.panel.Cut,\r\n wx.ID_COPY : self.panel.Copy,\r\n wx.ID_PASTE : self.panel.Paste,\r\n wx.ID_UNDO : self.panel.Undo,\r\n wx.ID_REDO : self.panel.Redo }\r\n action = actionmap.get(toolid, lambda:x)\r\n action()\r\n\r\nif __name__ == '__main__':\r\n app = ToolWindowApp(False)\r\n app.MainLoop()\r\n","sub_path":"wxPython Test/wxPython 2.8 Application Development Cookbook Source Code/1780_10_Code/03/toolwindow.py","file_name":"toolwindow.py","file_ext":"py","file_size_in_byte":4014,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"275857953","text":"from utils import Expr, expr\r\nfrom logic import unify\r\nimport itertools\r\nimport random\r\n\r\nclass PDDL:\r\n\r\n\tdef __init__(self, init, goals, actions):\r\n\t\tself.init = self.convert(init)\r\n\t\tself.goals = self.convert(goals)\r\n\t\tself.actions = actions\r\n\r\n\tdef convert(self, clauses):\r\n\t\tif not isinstance(clauses, Expr):\r\n\t\t\tclauses = expr(clauses)\r\n\t\ttry:\r\n\t\t\tclauses = conjuncts(clauses)\r\n\t\texcept AttributeError:\r\n\t\t\tclauses = clauses\r\n\t\treturn clauses\r\n\r\n\tdef goal_test(self):\r\n\t\treturn all(goal in self.init for goal in conjuncts(self.goals))\r\n\r\n\tdef act(self, action):\r\n\t\taction_name = action.op\r\n\t\targs = action.args\r\n\t\tlist_action = first(a for a in self.actions if a.name == action_name)\r\n\t\tif list_action is None:\r\n\t\t\traise Exception('Action {} not found'.format(action_name))\r\n\t\tif not list_action.check_precond(self.init, args):\r\n\t\t\traise Exception('Action {} pre-conditions not satisfied'.format(action))\r\n\t\tself.init = list_action(self.init, args).clauses\r\n\r\n\r\nclass Action:\r\n\r\n\tdef __init__(self, action, precond, effect):\r\n\t\tif isinstance(action, str):\r\n\t\t\taction = expr(action)\r\n\t\tself.name = action.op\r\n\t\tself.args = action.args\r\n\t\tself.precond = self.convert(precond)\r\n\t\tself.effect = self.convert(effect)\r\n\r\n\tdef __call__(self, kb, args):\r\n\t\treturn self.act(kb, args)\r\n\r\n\tdef __repr__(self):\r\n\t\treturn f'{self.__class__.__name__}({Expr(self.name, *self.args)})'\r\n\r\n\tdef convert(self, clauses):\r\n\t\tif isinstance(clauses, Expr):\r\n\t\t\tclauses = conjuncts(clauses)\r\n\t\t\tfor i in range(len(clauses)):\r\n\t\t\t\tif clauses[i].op == '~':\r\n\t\t\t\t\tclauses[i] = expr('Not' + str(clauses[i].args[0]))\r\n\r\n\t\telif isinstance(clauses, str):\r\n\t\t\tclauses = clauses.replace('~', 'Not')\r\n\t\t\tif len(clauses) > 0:\r\n\t\t\t\tclauses = expr(clauses)\r\n\r\n\t\t\ttry:\r\n\t\t\t\tclauses = conjuncts(clauses)\r\n\t\t\texcept AttributeError:\r\n\t\t\t\tpass\r\n\r\n\t\treturn clauses\r\n\r\n\tdef substitute(self, e, args):\r\n\t\tnew_args = list(e.args)\r\n\t\tfor num, x in enumerate(e.args):\r\n\t\t\tfor i, _ in enumerate(self.args):\r\n\t\t\t\tif self.args[i] == x:\r\n\t\t\t\t\tnew_args[num] = args[i]\r\n\t\treturn Expr(e.op, *new_args)\r\n\r\n\tdef check_precond(self, kb, args):\r\n\t\tif isinstance(kb, list):\r\n\t\t\tkb = FolKB(kb)\r\n\r\n\t\tfor clause in self.precond:\r\n\t\t\tif self.substitute(clause, args) not in kb.clauses:\r\n\t\t\t\treturn False\r\n\t\treturn True\r\n\r\n\tdef act(self, kb, args):\r\n\t\tif isinstance(kb, list):\r\n\t\t\tkb = FolKB(kb)\r\n\r\n\t\tif not self.check_precond(kb, args):\r\n\t\t\traise Exception('Action pre-conditions not satisfied')\r\n\t\tfor clause in self.effect:\r\n\t\t\tkb.tell(self.substitute(clause, args))\r\n\t\t\tif clause.op[:3] == 'Not':\r\n\t\t\t\tnew_clause = Expr(clause.op[3:], *clause.args)\r\n\r\n\t\t\t\tif kb.ask(self.substitute(new_clause, args)) is not False:\r\n\t\t\t\t\tkb.retract(self.substitute(new_clause, args))\r\n\t\t\telse:\r\n\t\t\t\tnew_clause = Expr('Not' + clause.op, *clause.args)\r\n\r\n\t\t\t\tif kb.ask(self.substitute(new_clause, args)) is not False:\r\n\t\t\t\t\tkb.retract(self.substitute(new_clause, args))\r\n\r\n\t\treturn kb\r\n\r\n\r\n# If we only represent partial order constraints on steps, then we have a partial order planner, which is also called a non-linear planner.\r\n# In this case, we specify a set of temporal constraints between pairs of steps of the form S1 < S2 meaning that step S1 comes before, but not necessarily immediately before step S2\r\n# Principle of least commitment: never making a choice unless required to do so. Constraint-ordering steps will be inserted only where necessary.\r\n# On the other hand, situation-space progression planners make commitments about the order of steps as they try to find a solution and therefore may make mistakes from poor guesses about the right order of steps\r\n# Plan space planning: by searching through the plan space of (partial-order) plans. Plan space planners do least commitment planning\r\n# Pseudocode\r\n'''\r\nnon-deterministic procedure PartialOrderPlanner(Gs)\r\n\tInputs\r\n\t\tGs: set of atomic propositions to achieve\r\n\tOutput:\r\n\t\tLinear plan to achieve Gs\r\n\tLocal\r\n\t\tAgenda: set of
\\n\")\n\n smh.writeSessionVar(cburl, 'ClientCallbackAddr')\n\n token = smh.generateToken(\"SAMLms_0001\", \"SAMLms_0001\")\n print(\"Generated msToken: \" + token + \"
\\n\")\n\n streq = load_json_file(test_link_req)\n treq = LinkRequest()\n treq.unmarshall(streq)\n smh.writeSessionVar(treq.marshall(), 'linkRequest')\n print(\"Wrote linkRequest in Session: \" + treq.json_marshall() + \"
\\n\")\n\n template = {\n 'url': '/link/request/submit',\n 'token': token,\n }\n\n return render_template('msToken.html', template=template)\n\n\n# Check status of a linking request\n@app.route('/test/client/status/
\\n\")\n\n smh.setSessID(sess_id)\n\n token = smh.generateToken(\"SAMLms_0001\", \"SAMLms_0001\")\n print(\"Generated msToken: \" + token + \"
\\n\")\n\n template = {\n 'url': f'/link/{request_id}/cancel',\n 'token': token,\n }\n\n return render_template('msToken.html', template=template)\n\n\n@app.route('/test/client/response/
\\n\")\n\n smh.setSessID(sess_id)\n\n token = smh.generateToken(\"SAMLms_0001\", \"SAMLms_0001\")\n print(\"Generated msToken: \" + token + \"
\\n\")\n\n template = {\n 'url': f'/link/{request_id}/result/get',\n 'token': token,\n }\n\n return render_template('msToken.html', template=template)\n\n\n# TODO: tune this with the proper parameters and target ms, and test\n# Start a linking request\n# to
\\n\")\n\n # Generate Token\n dest = 'RMms001'\n token = smh.generateToken(\"SAMLms_0001\", dest)\n print(f\"Generated msToken addressed to {dest}: {token}
\\n\")\n\n # Write session variables\n with open(test_auth_req, encoding='utf-8') as f:\n authreq = f.read()\n smh.writeSessionVar(authreq, 'spRequest') # TODO: check variable\n with open(test_sp_metadata, encoding='utf-8') as f:\n spmeta = f.read()\n smh.writeSessionVar(spmeta, 'spMetadata') # TODO: check variable\n smh.writeSessionVar(idp, 'apEntityId') # TODO: check variable\n\n smh.writeSessionVar(type, 'spRequestEP')\n smh.writeSessionVar(idp, 'spRequestSource')\n\n # Check written vars\n print(\"spRequest: \" + smh.getSessionVar('spRequest') + \"
\\n\")\n print(\"spMetadata: \" + smh.getSessionVar('spMetadata') + \"
\\n\")\n print(\"apEntityId: \" + smh.getSessionVar('apEntityId') + \"
\\n\")\n print(\"spRequestEP: \" + smh.getSessionVar('spRequestEP') + \"
\\n\")\n print(\"spRequestSource: \" + smh.getSessionVar('spRequestSource') + \"
\\n\")\n\n # Now let's get the Request Manager metadata\n cm = cm_handler()\n rm = cm.get_microservice_by_api('RM')\n\n url = get_url(rm, 'RM', 'rmRequest')\n template = {\n 'url': url,\n 'token': token,\n }\n\n return render_template('msToken.html', template=template)\n\n\n# Tests for HTTPSig server and client # TODO: implement\n\n\n# Test HTTPSig server\n@app.route('/test/server/httpsig', methods=['GET', 'POST'])\ndef test_server_httpsig_verify():\n return \"AAAAA\"\n\n\n# Test HTTPSig client GET\n@app.route('/test/client/httpsig/get', methods=['GET'])\ndef test_client_submit_httpsig_get():\n c = httpsig_client()\n res = c.get(\"http://localhost:8080/test/server/httpsig\")\n return \"Hola\", 200\n\n\n# Test HTTPSig client POST Form # TODO: implement\n@app.route('/test/client/httpsig/post/form', methods=['POST'])\ndef test_client_submit_httpsig_form():\n pass\n\n\n# Test HTTPSig client POST Json # TODO: implement\n@app.route('/test/client/httpsig/post/json', methods=['POST'])\ndef test_client_submit_httpsig_json():\n pass\n","sub_path":"api/test.py","file_name":"test.py","file_ext":"py","file_size_in_byte":9726,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"315129343","text":"# -*- coding: utf-8 -*-\n\"\"\"\nThis module calls sacct in Slurm to obtain detailed accouting infieldsion about\nindividual jobs or job steps. This module can only be used in Python 3.5 or above.\n\nJob State:\nhttps://slurm.schedmd.com/sacct.html#SECTION_JOB-STATE-CODES\n\nGet all jobs that have been terminated.\nsacct --allusers --starttime midnight --endtime now --state BOOT_FAIL,CANCELLED,COMPLETED,DEADLINE,FAILED,NODE_FAIL,OUT_OF_MEMORY,PREEMPTED,TIMEOUT --fields=partition,nodelist,group,user,jobname,jobid,submit,start,end,exitcode,cputimeraw,tresusageintot,tresusageouttot,maxvmsize,alloccpus,ntasks,cluster,timelimitraw,reqmem,State -p > sacct_raw_parse.txt\nsacct --allusers --starttime midnight --endtime now --state BOOT_FAIL,CANCELLED,COMPLETED,DEADLINE,FAILED,NODE_FAIL,OUT_OF_MEMORY,PREEMPTED,TIMEOUT --fields=partition,nodelist,group,user,jobname,jobid,submit,start,end,exitcode,cputimeraw,tresusageintot,tresusageouttot,maxvmsize,alloccpus,ntasks,cluster,timelimitraw,reqmem,State > sacct_raw.txt\n\nJie Li (jie.li@ttu.edu)\n\"\"\"\nimport sys\nimport json\nimport subprocess\nfrom multiprocessing import Process, Queue\n\nsys.path.append('../')\n\nfrom sharings.utils import parse_config\n\ndef fetch_slurm_job() -> list:\n # Read configuration file\n config_path = './config.yml'\n config = parse_config(config_path)\n\n # Setting command parameters\n accounting_fields = config[\"slurm\"][\"accounting_fields\"]\n job_states = config[\"slurm\"][\"job_states\"]\n start_time = config[\"slurm\"][\"start_time\"]\n end_time = config[\"slurm\"][\"end_time\"]\n \n # The command used in cli\n command = [\"ssh li29729@login.hpcc.ttu.edu \" + \"'sacct --allusers --starttime \" + start_time + \" --endtime \" + end_time + \" --state \" + \",\".join(job_states) + \" --fields=\" + \",\".join(accounting_fields) + \" -p'\"]\n\n # Get strings from command line\n rtn_str = subprocess.run(command, shell=True, stdout=subprocess.PIPE).stdout.decode('utf-8')\n \n # Split strings by line, and discard the first line that indicates the metrics name\n rtn_str_arr = rtn_str.splitlines()[1:]\n\n # Get all job data dict\n job_dict_all = generate_job_dict(accounting_fields, rtn_str_arr)\n\n # Aggregate job data\n aggregated_job_data = aggregate_job_data(job_dict_all)\n \n return aggregated_job_data\n\n\ndef convert_str_json(fields: list, job_str: str, queue: object) -> dict:\n \"\"\"\n Convert the job data in string to job data in json.\n \"\"\"\n job_dict = {}\n job_data = {}\n job_str_arr = job_str.split(\"|\")\n \n for i in range(len(fields)):\n job_data.update({\n fields[i]: job_str_arr[i]\n })\n \n job_dict = {\n job_data[\"JobID\"]: job_data\n }\n\n queue.put(job_dict)\n\n\ndef generate_job_dict(fields: list, rtn_str_arr: list) -> dict:\n \"\"\"\n Generate the job dict from string using multiprocesses.\n \"\"\"\n job_dict_all = {}\n queue = Queue()\n procs = []\n for rtn_str in rtn_str_arr:\n p = Process(target=convert_str_json, args=(fields, rtn_str, queue))\n procs.append(p)\n p.start()\n \n for _ in procs:\n job_dict = queue.get()\n job_dict_all.update(job_dict)\n\n for p in procs:\n p.join()\n\n return job_dict_all\n\n\ndef unfold_metrics(metric_str: str, in_out: str) -> dict:\n \"\"\"\n Unfold the metrics under the same metric name(such as tresusageintot, tresusageouttot)\n \"\"\"\n metric_dict = {}\n for item in metric_str.split(\",\"):\n item_pair = item.split(\"=\")\n\n if item_pair[0] == \"fs/disk\" or item_pair[0] == \"energy\":\n key_name = item_pair[0] + \"_\" + in_out\n else:\n key_name = item_pair[0]\n\n metric_dict.update({\n key_name: item_pair[1]\n })\n\n return metric_dict\n\n\ndef merge_metrics(job_metircs: dict, batch_step_metrics: dict) -> dict:\n \"\"\"\n Merge metrics under JobID with metrics under batch and jobstep, update the job name\n \"\"\"\n merged_metrics = {}\n for key, value in batch_step_metrics.items():\n if value == \"\" or key == \"JobName\":\n merged_metrics.update({\n key: job_metircs[key]\n })\n else:\n merged_metrics.update({\n key: value\n })\n return merged_metrics\n\n\ndef merge_job_dict(job_dict_all: dict, job_id_raw: str, queue: object) -> dict:\n \"\"\"\n Aggregate jobid with jobid.batch and jobid.step# , and unfold several metrics under the same \n attribute, such as \"tresusageintot\", \"tresusageouttot\".\n \"\"\"\n merged_data = {}\n # only keep resource statistics under batch and jobstep, discard extern\n if \".batch\" in job_id_raw or \".\" in job_id_raw and \".extern\" not in job_id_raw:\n # merge metrics\n job_id = job_id_raw.split('.')[0]\n merged_data = merge_metrics(job_dict_all[job_id], job_dict_all[job_id_raw])\n \n # Unfold metrics in treusageintot and tresusageoutot\n folded_metrics = merged_data.get(\"TresUsageInTot\", None)\n if folded_metrics:\n unfolded_metrics = unfold_metrics(folded_metrics, \"in\")\n merged_data.update(unfolded_metrics)\n merged_data.pop(\"TresUsageInTot\")\n \n folded_metrics = merged_data.get(\"TresUsageOutTot\", None)\n if folded_metrics:\n unfolded_metrics = unfold_metrics(folded_metrics, \"out\")\n merged_data.update(unfolded_metrics)\n merged_data.pop(\"TresUsageOutTot\")\n\n if \".batch\" in job_id_raw:\n # Update the job id if it contains batch\n merged_data.update({\n \"JobID\": job_id\n })\n \n # Add unique ids, which is used as unique ids for the record\n merged_data.update({\n \"_id\": merged_data[\"JobID\"]\n })\n\n queue.put(merged_data)\n\n\ndef aggregate_job_data(job_dict_all: dict) -> dict:\n \"\"\"\n Aggregate job dict using multiprocesses.\n \"\"\"\n aggregated_job_data = []\n job_id_raw_list = job_dict_all.keys()\n queue = Queue()\n procs = []\n for job_id_raw in job_id_raw_list:\n p = Process(target=merge_job_dict, args=(job_dict_all, job_id_raw, queue))\n procs.append(p)\n p.start()\n \n for _ in procs:\n job_data = queue.get()\n if job_data:\n aggregated_job_data.append(job_data)\n\n for p in procs:\n p.join()\n\n return aggregated_job_data\n\n\nif __name__ == '__main__':\n records = fetch_slurm_job()\n print(json.dumps(records, indent=4))","sub_path":"slurmapi/fetch_slurm_job.py","file_name":"fetch_slurm_job.py","file_ext":"py","file_size_in_byte":6469,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"46299452","text":"# Copyright 2020 Alexis Lopez Zubieta\n#\n# Permission is hereby granted, free of charge, to any person obtaining a\n# copy of this software and associated documentation files (the \"Software\"),\n# to deal in the Software without restriction, including without limitation the\n# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n# sell copies of the Software, and to permit persons to whom the Software is\n# furnished to do so, subject to the following conditions:\n#\n# The above copyright notice and this permission notice shall be included in\n# all copies or substantial portions of the Software.\n\n\nclass MissingConfigurationField(RuntimeError):\n pass\n\n\nfrom appimagebuilder.builder.app_info.app_info import AppInfo\n\n\nclass AppInfoLoader:\n def load(self, config):\n app_info = self._read_config_fields(config)\n\n return app_info\n\n def _read_config_fields(self, recipe):\n app_info = AppInfo()\n app_info.id = recipe.get_item(\"AppDir/app_info/id\")\n app_info.name = recipe.get_item(\"AppDir/app_info/name\")\n app_info.version = recipe.get_item(\"AppDir/app_info/version\")\n app_info.icon = recipe.get_item(\"AppDir/app_info/icon\")\n app_info.exec = recipe.get_item(\"AppDir/app_info/exec\")\n app_info.exec_args = recipe.get_item(\"AppDir/app_info/exec_args\", \"$@\")\n return app_info\n\n @staticmethod\n def _try_read_mandatory_config_value(config, key):\n if key in config:\n return config[key]\n else:\n raise MissingConfigurationField(key)\n\n @staticmethod\n def _try_read_config_value(config, key):\n return config[key] if key in config else None\n","sub_path":"appimagebuilder/builder/app_info/loader.py","file_name":"loader.py","file_ext":"py","file_size_in_byte":1689,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"27441179","text":"# Copyright (C) 2011 Atsushi Togo\n# All rights reserved.\n#\n# This file is part of phonopy.\n#\n# Redistribution and use in source and binary forms, with or without\n# modification, are permitted provided that the following conditions\n# are met:\n#\n# * Redistributions of source code must retain the above copyright\n# notice, this list of conditions and the following disclaimer.\n#\n# * Redistributions in binary form must reproduce the above copyright\n# notice, this list of conditions and the following disclaimer in\n# the documentation and/or other materials provided with the\n# distribution.\n#\n# * Neither the name of the phonopy project nor the names of its\n# contributors may be used to endorse or promote products derived\n# from this software without specific prior written permission.\n#\n# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS\n# \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT\n# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS\n# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE\n# COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,\n# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,\n# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\n# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\n# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT\n# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN\n# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE\n# POSSIBILITY OF SUCH DAMAGE.\n\nimport numpy as np\nimport phonopy.structure.spglib as spg\nfrom phonopy.structure.symmetry import Symmetry, find_primitive, get_pointgroup\nfrom phonopy.structure.cells import get_primitive\nfrom phonopy.interface.vasp import write_vasp\nfrom phonopy.structure.atoms import PhonopyAtoms as Atoms\n\n\ndef check_symmetry(input_cell,\n primitive_axis=None,\n symprec=1e-5,\n distance_to_A=1.0,\n phonopy_version=None):\n if primitive_axis is None:\n cell = get_primitive(input_cell, np.eye(3), symprec=symprec)\n else:\n cell = get_primitive(input_cell, primitive_axis, symprec=symprec)\n lattice = cell.get_cell() * distance_to_A\n cell.set_cell(lattice)\n\n symmetry = Symmetry(cell, symprec)\n print(_get_symmetry_yaml(cell, symmetry, phonopy_version))\n\n if input_cell.get_magnetic_moments() is None:\n primitive = find_primitive(cell, symprec)\n if primitive is not None:\n print(\"# Primitive cell was found. It is written into PPOSCAR.\")\n write_vasp('PPOSCAR', primitive)\n\n # Overwrite symmetry and cell\n symmetry = Symmetry(primitive, symprec)\n cell = primitive\n\n (bravais_lattice,\n bravais_pos,\n bravais_numbers) = spg.refine_cell(cell, symprec)\n bravais = Atoms(numbers=bravais_numbers,\n scaled_positions=bravais_pos,\n cell=bravais_lattice,\n pbc=True)\n print(\"# Bravais lattice is written into BPOSCAR.\")\n write_vasp('BPOSCAR', bravais)\n\n\ndef _get_symmetry_yaml(cell, symmetry, phonopy_version=None):\n rotations = symmetry.get_symmetry_operations()['rotations']\n translations = symmetry.get_symmetry_operations()['translations']\n\n atom_sets = symmetry.get_map_atoms()\n independent_atoms = symmetry.get_independent_atoms()\n wyckoffs = symmetry.get_Wyckoff_letters()\n\n yaml = []\n\n if phonopy_version is not None:\n yaml.append(\"phonopy_version: '%s'\" % phonopy_version)\n\n if cell.get_magnetic_moments() is None:\n spg_symbol, spg_number = symmetry.get_international_table().split()\n spg_number = int(spg_number.replace('(', '').replace(')', ''))\n yaml.append(\"space_group_type: '%s'\" % spg_symbol)\n yaml.append(\"space_group_number: %d\" % spg_number)\n yaml.append(\"point_group_type: '%s'\" % symmetry.get_pointgroup())\n yaml.append(\"space_group_operations:\")\n for i, (r, t) in enumerate(zip(rotations, translations)):\n yaml.append(\"- rotation: # %d\" % (i + 1))\n for vec in r:\n yaml.append(\" - [%2d, %2d ,%2d]\" % tuple(vec))\n line = \" translation: [\"\n for j, x in enumerate(t):\n if abs(x - np.rint(x)) < 1e-5:\n line += \" 0.00000\"\n else:\n line += \"%8.5f\" % x\n if j < 2:\n line += \", \"\n else:\n line += \" ]\"\n yaml.append(line)\n yaml.append(\"atom_mapping:\")\n for i, atom_num in enumerate(atom_sets):\n yaml.append(\" %d: %d\" % (i + 1, atom_num + 1))\n yaml.append(\"site_symmetries:\")\n for i in independent_atoms:\n sitesym = symmetry.get_site_symmetry(i)\n yaml.append(\"- atom: %d\" % (i + 1))\n\n if cell.get_magnetic_moments() is None:\n yaml.append(\" Wyckoff: '%s'\" % wyckoffs[i])\n site_pointgroup = get_pointgroup(sitesym)\n yaml.append(\" site_point_group: '%s'\" % site_pointgroup[0])\n yaml.append(\" orientation:\")\n for v in site_pointgroup[1]:\n yaml.append(\" - [%2d, %2d, %2d]\" % tuple(v))\n\n yaml.append(\" rotations:\")\n for j, r in enumerate(sitesym):\n yaml.append(\" - # %d\" % (j + 1))\n for vec in r:\n yaml.append(\" - [%2d, %2d, %2d]\" % tuple(vec))\n\n return \"\\n\".join(yaml)\n","sub_path":"phonopy/cui/show_symmetry.py","file_name":"show_symmetry.py","file_ext":"py","file_size_in_byte":5497,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"604232099","text":"# coding: utf-8\n# Iris Species Multi-Class Classification Model\n# Explore Dataset\nimport pandas as pd\nfrom sklearn.preprocessing import LabelEncoder\nimport tensorflow as tf\n\n# 데이터 입력\ndf = pd.read_csv('./dataset/iris.csv', names=[\"sepal_length\", \"sepal_width\", \"petal_length\", \"petal_width\", \"species\"])\n\n# 데이터 분류\ndataset = df.values\nx = dataset[:, 0:4].astype(float)\n# print(x.shape)\n\nt = dataset[:, 4]\n# print(t)\n\n# 문자열을 숫자로 변환\n# [1 0 0] = 'Iris-setosa'\n# [0 1 0] = 'Iris-versicolor'\n# [0 0 1] = 'Iris-virginica'\n\ne = LabelEncoder()\ne.fit(t)\nt = e.transform(t)\nt = tf.keras.utils.to_categorical(t)\nprint(t)\n\n\n\n\n\n\n","sub_path":"04.deep-learning/03.tensorflow-keras-practice/03.iris/ex01.py","file_name":"ex01.py","file_ext":"py","file_size_in_byte":652,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"362066480","text":"# Copyright 2019 Yelp Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nimport json\n\nimport mock\nimport pytest\n\nfrom clusterman.aws.auto_scaling_resource_group import AutoScalingResourceGroup\nfrom clusterman.aws.auto_scaling_resource_group import CLUSTERMAN_STALE_TAG\nfrom clusterman.aws.client import autoscaling\nfrom clusterman.aws.client import ec2\nfrom clusterman.aws.markets import InstanceMarket\n\n\n@pytest.fixture\ndef mock_launch_config():\n launch_config = {\n 'LaunchConfigurationName': 'fake_launch_config',\n 'ImageId': 'ami-785db401', # this AMI is hard-coded into moto, represents ubuntu xenial\n 'InstanceType': 't2.2xlarge',\n }\n autoscaling.create_launch_configuration(**launch_config)\n return launch_config\n\n\n@pytest.fixture\ndef mock_asg_name():\n return 'fake_asg'\n\n\n@pytest.fixture\ndef mock_cluster():\n return 'fake_cluster'\n\n\n@pytest.fixture\ndef mock_pool():\n return 'fake_pool'\n\n\n@pytest.fixture\ndef mock_asg_config(mock_subnet, mock_launch_config, mock_asg_name, mock_cluster, mock_pool):\n asg = {\n 'AutoScalingGroupName': mock_asg_name,\n 'LaunchConfigurationName': mock_launch_config['LaunchConfigurationName'],\n 'MinSize': 1,\n 'MaxSize': 30,\n 'DesiredCapacity': 10,\n 'AvailabilityZones': ['us-west-2a'],\n 'VPCZoneIdentifier': mock_subnet['Subnet']['SubnetId'],\n 'Tags': [\n {\n 'Key': 'puppet:role::paasta',\n 'Value': json.dumps({\n 'pool': mock_pool,\n 'paasta_cluster': mock_cluster\n }),\n }, {\n 'Key': 'fake_tag_key',\n 'Value': 'fake_tag_value',\n },\n ],\n 'NewInstancesProtectedFromScaleIn': True,\n }\n autoscaling.create_auto_scaling_group(**asg)\n\n return asg\n\n\ndef test_group_config(mock_asg_config):\n mock_asrg = AutoScalingResourceGroup.__new__(AutoScalingResourceGroup) # skip init\n mock_asrg.group_id = mock_asg_config['AutoScalingGroupName']\n\n group_config = mock_asrg._group_config\n\n assert group_config['AutoScalingGroupName'] == \\\n mock_asg_config['AutoScalingGroupName']\n\n\n@pytest.fixture\ndef mock_asrg(mock_asg_config):\n return AutoScalingResourceGroup(mock_asg_config['AutoScalingGroupName'])\n\n\ndef test_launch_config(mock_asrg, mock_launch_config):\n launch_config = mock_asrg._launch_config\n\n assert launch_config['LaunchConfigurationName'] == \\\n mock_launch_config['LaunchConfigurationName']\n\n\ndef test_launch_config_retry(mock_asrg, mock_launch_config):\n no_configs = dict(LaunchConfigurations=[])\n good_configs = dict(LaunchConfigurations=[mock_launch_config])\n mock_describe_launch_configs = mock.Mock(side_effect=[\n no_configs, good_configs,\n ])\n\n with mock.patch(\n 'clusterman.aws.client.autoscaling.describe_launch_configurations',\n mock_describe_launch_configs,\n ):\n launch_config = mock_asrg._launch_config\n\n assert launch_config == mock_launch_config\n assert mock_describe_launch_configs.call_count == 2\n\n\n@pytest.mark.parametrize('instance_type', ['t2.2xlarge', 'm5.large'])\n@mock.patch('clusterman.aws.auto_scaling_resource_group.logger', autospec=True)\ndef test_market_weight(mock_logger, mock_asrg, instance_type):\n market_weight = mock_asrg.market_weight(InstanceMarket(instance_type, 'us-west-2a'))\n\n assert market_weight == 1.0\n assert mock_logger.warning.call_count == (1 if instance_type == 'm5.large' else 0)\n\n\n@pytest.mark.parametrize('dry_run', [True, False])\ndef test_mark_stale(mock_asrg, dry_run):\n mock_asrg.mark_stale(dry_run)\n for inst in mock_asrg.instance_ids:\n tags = ec2.describe_tags(\n Filters=[{\n 'Name': 'resource-id',\n 'Values': [inst],\n }],\n )\n stale_tags = [tag for tag in tags['Tags'] if tag['Key'] == CLUSTERMAN_STALE_TAG]\n if dry_run:\n assert not stale_tags\n else:\n assert len(stale_tags) == 1\n\n\n@pytest.mark.parametrize('stale_instances', [0, 7])\ndef test_modify_target_capacity_up(mock_asrg, stale_instances):\n new_desired_capacity = mock_asrg.target_capacity + 5\n with mock.patch(\n 'clusterman.aws.auto_scaling_resource_group.AutoScalingResourceGroup.stale_instance_ids',\n mock.PropertyMock(return_value=mock_asrg.instance_ids[:stale_instances])\n ):\n\n mock_asrg.modify_target_capacity(\n new_desired_capacity,\n dry_run=False,\n honor_cooldown=False,\n )\n\n assert mock_asrg.target_capacity == new_desired_capacity\n assert mock_asrg.fulfilled_capacity == new_desired_capacity + stale_instances\n\n\n@pytest.mark.parametrize('stale_instances', [0, 7])\ndef test_modify_target_capacity_down(mock_asrg, stale_instances):\n old_target_capacity = mock_asrg.target_capacity\n new_target_capacity = old_target_capacity - 5\n\n with mock.patch(\n 'clusterman.aws.auto_scaling_resource_group.AutoScalingResourceGroup.stale_instance_ids',\n mock.PropertyMock(return_value=mock_asrg.instance_ids[:stale_instances])\n ):\n mock_asrg.modify_target_capacity(\n new_target_capacity,\n dry_run=False,\n honor_cooldown=False,\n )\n\n assert mock_asrg.target_capacity == new_target_capacity\n # because some instances are stale, we might have to _increase_ our \"real\" target capacity\n # even if we're decreasing our _requested_ target capacity\n assert mock_asrg.fulfilled_capacity == max(old_target_capacity, new_target_capacity + stale_instances)\n\n\n@pytest.mark.parametrize('new_desired_capacity', [0, 100])\ndef test_modify_target_capacity_min_max(\n mock_asrg,\n mock_asg_config,\n new_desired_capacity,\n):\n mock_asrg.modify_target_capacity(\n new_desired_capacity,\n dry_run=False,\n honor_cooldown=False,\n )\n\n if new_desired_capacity < mock_asg_config['MinSize']:\n assert mock_asrg.target_capacity == mock_asg_config['MinSize']\n elif new_desired_capacity > mock_asg_config['MaxSize']:\n assert mock_asrg.target_capacity == mock_asg_config['MaxSize']\n\n\n@pytest.mark.parametrize('stale_instances', [0, 1, 10])\ndef test_status(mock_asrg, stale_instances):\n is_stale = stale_instances == 10\n with mock.patch(\n 'clusterman.aws.auto_scaling_resource_group.AutoScalingResourceGroup.is_stale',\n new_callable=mock.PropertyMock(return_value=is_stale)\n ), mock.patch(\n 'clusterman.aws.auto_scaling_resource_group.AutoScalingResourceGroup.stale_instance_ids',\n new_callable=mock.PropertyMock(return_value=mock_asrg.instance_ids[:stale_instances])\n ):\n status = mock_asrg.status\n if stale_instances == 0:\n assert status == 'active'\n elif stale_instances > 0:\n assert status == 'rolling'\n\n\ndef test_get_asg_tags(mock_asrg, mock_asg_config):\n asg_id_to_tags = mock_asrg._get_resource_group_tags()\n\n assert mock_asg_config['AutoScalingGroupName'] in asg_id_to_tags\n tags = asg_id_to_tags[mock_asg_config['AutoScalingGroupName']]\n assert 'fake_tag_key' in tags\n assert tags['fake_tag_key'] == 'fake_tag_value'\n","sub_path":"tests/aws/auto_scaling_resource_group_test.py","file_name":"auto_scaling_resource_group_test.py","file_ext":"py","file_size_in_byte":7742,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"450427682","text":"#!/usr/bin/env python3\n\n# === IMPORTS ===\nimport logging\nimport os\n\nfrom flask import Flask\n\nfrom inovonics.cloud.datastore import InoRedis\nfrom inovonics.cloud.oauth import InoOAuth2Provider, oauth_register_handlers\n\nfrom inovonics.cloud.oauth import OAuthClients, OAuthClient, OAuthUsers, OAuthUser\n\n# === GLOBALS ===\nREDIS_HOST = os.getenv('REDIS_HOST', 'localhost')\nREDIS_PORT = os.getenv('REDIS_PORT', 6379)\nREDIS_DB = os.getenv('REDIS_DB', 0)\n\ndstore = InoRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB)\n\napp = Flask(__name__)\n\noauth = InoOAuth2Provider(app, dstore)\noauth_register_handlers(app, oauth, token_path='/oauth/token', revoke_path='/oauth/revoke')\n\n# === FUNCTIONS ===\n@app.before_first_request\ndef db_init():\n # This flushes the Redis database and pushed a default user and a couple of default clients into the database.\n dstore.redis.flushdb()\n users = OAuthUsers(dstore)\n clients = OAuthClients(dstore)\n \n user1_data = {\n 'username': 'admin@example.com',\n 'first_name': 'Admin',\n 'last_name': 'Testuser',\n 'is_active': True,\n 'scopes': ['protected']\n }\n user1 = OAuthUser(user1_data)\n user1.update_password('
', ' ')\n # replace smileys with codes\n smiley_replace_text = multiple_replace(review, smileys)\n # clean HTML\n no_html_text = BeautifulSoup(smiley_replace_text, \"html5lib\").get_text()\n # lower case strings and remove punctuation\n translator = str.maketrans(' ', ' ', string.punctuation)\n cleanText = no_html_text.lower().translate(translator)\n cleanText = cleanText.replace(' ', ' ')\n\n # sort reviews into train/test and pos/neg\n if label == 0 and i <= threshold:\n train_neg.write(cleanText + '\\n')\n elif label == 1 and i <= threshold:\n train_pos.write(cleanText + '\\n')\n elif label == 0 and i > threshold:\n test_neg.write(cleanText + '\\n')\n elif label == 1 and i > threshold:\n test_pos.write(cleanText + '\\n')\n i += 1\n\nprint(\"Finished cleaning and splitting! Total lines cleaned: \", i)\nprint(\"Cleaning unsupervised dataset...\")\n\nfor review in unsup['text']:\n # remove this tag manually because BS doesn't like to add the space\n review = review.replace('
', ' ')\n # replace smileys with codes\n smiley_replace_text = multiple_replace(review, smileys)\n # clean HTML\n no_html_text = BeautifulSoup(smiley_replace_text, \"html5lib\").get_text()\n # lower case strings and remove punctuation\n translator = str.maketrans(' ', ' ', string.punctuation)\n cleanText = no_html_text.lower().translate(translator)\n unsup_txt.write(cleanText + '\\n')\n\nprint(\"Finished cleaning!\")\n\ntrain_pos.close()\ntrain_neg.close()\ntest_pos.close()\ntest_neg.close()\nunsup_txt.close()\n","sub_path":"src/cleaner.py","file_name":"cleaner.py","file_ext":"py","file_size_in_byte":5759,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"625819338","text":"import os\nos.environ.setdefault('DJANGO_SETTINGS_MODULE','first_project.settings')\n\nimport django\ndjango.setup()\n\n\nimport random\nfrom first_app.models import AccessRecord,Topic,Webpage\n\nfrom faker import Faker\nfake= Faker()\ntopics= ['Search','Social','Marketpalce','news','games']\n\ndef add_topics():\n t = Topic.objects.get_or_create(top_name=random.choice(topics))[0]\n t.save()\n return t\n\n\ndef populate(N=5):\n\n for entry in range(N):\n top = add_topics()\n\n #creare the fake data for that entry\n fake_url = fake.url()\n fake_date=fake.date()\n fake_name = fake.company()\n \n #create the webpage entry\n webpg= Webpage.objects.get_or_create(topic=top,url=fake_url,name=fake_name)[0]\n\n #create a fake access record for that webpage\n acc_rec = AccessRecord.objects.get_or_create(name=webpg,date=fake_date)[0]\n\n\nif __name__ == '__main__':\n print(\"populating...\")\n populate(20)\n print(\"population complete.\")","sub_path":"populate_first_app.py","file_name":"populate_first_app.py","file_ext":"py","file_size_in_byte":988,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"560628914","text":"# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nfrom django.db import models, migrations\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('core', '0258_auto_20170711_1131'),\n ]\n\n operations = [\n migrations.RenameField(\n model_name='workshopresources',\n old_name='for_date',\n new_name='on_date',\n ),\n migrations.AlterField(\n model_name='workshopresources',\n name='type_of_record',\n field=models.IntegerField(default=1, choices=[(1, b'Daily'), (2, b'Expected')]),\n ),\n ]\n","sub_path":"bumper2/core/old_migrations/0259_auto_20170711_1154.py","file_name":"0259_auto_20170711_1154.py","file_ext":"py","file_size_in_byte":612,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"292811655","text":"import os\nimport sys\nimport time\nimport pathlib\nimport pprint\nimport json\nimport glob\nfrom tqdm import *\nfrom selenium import webdriver\nfrom selenium.webdriver.common.keys import Keys \nfrom selenium.webdriver.chrome.options import Options\nfrom selenium.webdriver.common.by import By\nfrom selenium.webdriver.support import expected_conditions as EC\nfrom selenium.webdriver.support.ui import WebDriverWait as wait\nfrom selenium.webdriver.common.action_chains import ActionChains\n\npp = pprint.PrettyPrinter(indent=4)\n\nchrome_options = Options()\n# chrome_options.add_argument(\"--headless\")\ndriver = webdriver.Chrome(executable_path=os.path.abspath(\"../chromedriver\"), chrome_options=chrome_options)\n\nglobal_previously_saved = None\nglobal_previous_list = None\n\n\ncontent_id = \"PageContentContainer\"\n\nmanual_blacklist = []\n\n\n# # Finds highest level 1 folder it's started\n# highest = (-1, '')\n# for dirpath, dirs, files in os.walk(\"./content\"):\n# if(dirpath != \"./content\"):\n# curr_num = int(dirpath.split(\"./content/\")[-1].split(' ')[0])\n# if(curr_num > highest[0]):\n# highest = (curr_num, '/'.join(dirpath.split('/')[:4]))\n# # if highest is still -1, then it hasn't started ANY level 1 folders\n# blacklist = None\n# lv1_root = highest[1]\n# if(highest[0] != -1):\n# # Adds level 1 folders < lv1_root that it's done to blacklist\n# raw_blacklist = next(os.walk('./content'))[1]\n# blacklist = []\n# for i, lv1 in enumerate(raw_blacklist):\n# if(int(lv1.split(' ')[0]) < highest[0]):\n# blacklist.append(\"./content/\" + lv1)\n\n# try:\n# # Finds the highest level 2 folder it's started\n# highest = (-1, '')\n# for dirpath, dirs, files in os.walk(lv1_root):\n# if(dirpath != lv1_root):\n# curr_num = int(dirpath.split(lv1_root + '/')[-1].split(' ')[0])\n# if(curr_num > highest[0]):\n# highest = (curr_num, '/'.join(dirpath.split('/')[:5]))\n# # Adds all lower lv2 folders to blacklist\n# for dirpath, dirs, files in os.walk(lv1_root):\n# if(dirpath != lv1_root):\n# curr_num = int(dirpath.split(lv1_root + '/')[-1].split(' ')[0])\n# if(curr_num < highest[0]):\n# to_add = '/'.join(dirpath.split('/')[:5])\n# if(to_add not in blacklist):\n# blacklist.append(to_add)\n# except:\n# pass\n\ndef gen_blacklist():\n blacklist = []\n for filename in glob.iglob('./content/**/*.html', recursive=True):\n blacklist.append(filename)\n\n\n if blacklist:\n blacklist = blacklist + manual_blacklist\n else:\n blacklist = manual_blacklist\n\n if blacklist:\n print(\"---------------\")\n print(\" Blacklist\")\n print(json.dumps(blacklist, indent=4, sort_keys=True))\n print(\"---------------\")\n\n return blacklist\n\ndef is_blacklisted(blacklist, curr_root):\n # If blacklist was successfully generated, checks if any item in it is in curr_root\n if any(substring in curr_root for substring in blacklist):\n return True\n else:\n return False\n\ndef wait_for_elem(id=None, css=None, xpath=None, root=None, prev_content=None, debug=False):\n if root and root.__class__.__name__ != \"WebElement\":\n print(\"WARNING: root must be WebElement, not \" + root.__class__.__name__)\n return\n\n driver_or_root = driver\n if root:\n driver_or_root = root\n content = None\n keep_checking = True\n while keep_checking:\n if debug:\n if id:\n print(time.strftime(\"%Y-%m-%d %H:%M:%S\", time.gmtime()) + \" | id='\" + id + \"'\")\n elif css:\n print(time.strftime(\"%Y-%m-%d %H:%M:%S\", time.gmtime()) + \" | css='\" + css + \"'\")\n elif xpath:\n print(time.strftime(\"%Y-%m-%d %H:%M:%S\", time.gmtime()) + \" | xpath='\" + xpath + \"'\")\n if prev_content:\n # print(prev_content, end=\"\\n\\n\")\n pass\n\n try:\n # connect\n if id:\n content = driver_or_root.find_element_by_id(id)\n elif css:\n content = driver_or_root.find_element_by_css_selector(css)\n elif xpath:\n content = driver_or_root.find_element_by_xpath(xpath)\n except:\n pass\n\n if content is None:\n keep_checking = True\n else:\n if prev_content is not None:\n try:\n # error_log = content.get_attribute(\"outerHTML\").replace(content.get_attribute(\"outerHTML\"), \"\")\n # if error_log:\n # print(content.get_attribute(\"outerHTML\").replace(content.get_attribute(\"outerHTML\"), \"\"))\n # else:\n # if id:\n # print(\"id = \" + id)\n # elif css:\n # print(\"css = \" + css)\n # elif xpath:\n # print(\"xpath = \" + xpath)\n if content.get_attribute(\"outerHTML\") == prev_content:\n keep_checking = True\n else:\n keep_checking = False\n except:\n content = None\n keep_checking = True\n else:\n keep_checking = False\n\n return content\n\ndef get_sections(debug=False):\n sections_container = wait_for_elem(id=\"NavPaneSectionList\")\n wait_for_elem(root=sections_container, css=\"div.navItem\", debug=debug)\n sections_html = sections_container.find_element_by_xpath(\"//div[@class='sectionList']\").find_elements_by_xpath(\"*\")\n\n sections = []\n i = 0\n for section in sections_html:\n section_name = str(i) + ' ' + section.find_element_by_css_selector(\"div.navItem\").get_attribute(\"data-tip\")\n sections.append({\"name\": section_name, \"button\": section})\n i += 1\n return sections\n\ndef get_pages(debug=False):\n pages_container = wait_for_elem(id=\"PageList\", debug=debug)\n pages_html = pages_container.find_element_by_css_selector(\"div.ms-SelectionZone\").find_element_by_css_selector(\"div.pagesContainer\").find_elements_by_xpath(\"*\")\n return pages_html\n\ndef scrape(blacklist):\n # Loads page and focuses correct iframe\n driver.get(\"https://onedrive.live.com/view.aspx?ref=button&Bsrc=SMIT&resid=708DB7CA3B6187FE!1939&cid=708db7ca3b6187fe&app=OneNote&authkey=!Aqsda1BkgAhQO1Y\")\n wait(driver, 10).until(EC.frame_to_be_available_and_switch_to_it(\"sdx_ow_iframe\"))\n\n # waits for content to load\n content = wait_for_elem(id=content_id)\n\n # Gathering menus to click\n sections = get_sections()\n\n # Gathering pages to save\n prev_page_list = None\n prev_page = None\n for i in range(0, len(sections)):\n sections = get_sections()\n section = sections[i]\n\n curr_section_path = \"./content/\"+' '.join(section[\"name\"].split('/'))\n if is_blacklisted(blacklist, curr_section_path):\n print(\"Error: '\" + curr_section_path + \"' already finished, skipping.\")\n continue\n\n # Accesses page list in section\n section[\"button\"].click()\n # Waits for page list to load\n time.sleep(3)\n pages_html = get_pages()\n\n pages = []\n prev_page = None\n for j in range(0, len(pages_html)):\n print(j)\n pages_html = get_pages()\n page = pages_html[j]\n page_name = str(j) + ' ' + page.find_element_by_css_selector(\"div.pageListItem\").find_element_by_css_selector(\"div.navItem\").get_attribute(\"data-tip\")\n pages.append({\"name\": page_name, \"button\": page})\n\n curr_page_path = \"./content/\"+section[\"name\"]+\"/\"+' '.join(page_name.split('/'))+\".html\"\n if is_blacklisted(blacklist, curr_page_path):\n print(\"Error: '\" + curr_page_path + \"' already finished, skipping.\")\n continue\n\n # Saves each page in the section\n actions = ActionChains(driver)\n actions.move_to_element(page).perform()\n page.click()\n\n time.sleep(3)\n curr_page = wait_for_elem(id=content_id, prev_content=prev_page)\n\n # Goes to move to all images to get them to load\n images = driver.find_elements_by_css_selector(\"img.WACImage\")\n for k in range(0, len(images)):\n images = driver.find_elements_by_css_selector(\"img.WACImage\")\n image = images[k]\n actions = ActionChains(driver)\n actions.move_to_element(image).perform()\n time.sleep(1)\n\n curr_page = driver.find_element_by_id(content_id)\n prev_page = curr_page.get_attribute(\"outerHTML\")\n\n # Stores page in file\n parent_root = curr_section_path + '/'\n pathlib.Path(parent_root).mkdir(parents=True, exist_ok=True)\n filename = os.path.join(parent_root, ' '.join(page_name.split('/'))+\".html\")\n if os.path.isfile(filename):\n print(\"Error: '\" + filename + \"' already exists, skipping.\")\n else:\n with open(filename, 'w') as fp:\n fp.write(prev_page)\n\n section[\"pages\"] = pages\n\n # pp.pprint(sections)\n\n return True\n\nif __name__ == \"__main__\":\n\n is_done = False\n while is_done != True:\n try:\n blacklist = gen_blacklist()\n is_done = scrape(blacklist)\n except Exception as ex:\n print('\\n' + time.strftime(\"%Y-%m-%d %H:%M:%S\", time.gmtime()))\n print(ex)\n\n # blacklist = gen_blacklist()\n # is_done = scrape(blacklist)\n\n # driver.close()","sub_path":"mednotes/scraper.py","file_name":"scraper.py","file_ext":"py","file_size_in_byte":9761,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"243092401","text":"import unittest\nimport random\nfrom classes.ProbabilityDistributions import AbstractProbabilityDistribution\nfrom classes.ProbabilityDistributions import ProbabilityDistributions as pd\n\n\nclass TestProbabilityDistributions(unittest.TestCase):\n\n\n def test_probabilityDistributions(self):\n param_dict = {'UniformDistribution': {},\n 'ExponentialDistribution':{'lambda':1},\n 'GaussianDistribution':{'mu':0.4,'sigma':2},\n 'ExplinklossrateDistribution':{'lambda': 0.5}}\n for pd_subclass in AbstractProbabilityDistribution.__subclasses__():\n print(pd_subclass.__name__)\n\n self.assertTrue(issubclass(pd_subclass, AbstractProbabilityDistribution))\n self.assertTrue(isinstance(pd_subclass(param_dict[pd_subclass.__name__]), AbstractProbabilityDistribution),\n pd_subclass.__name__ + ' does not implement all functions of abstract class.')\n\n def test_uniform_distribution_value_correct(self):\n\n distribution = pd.UniformDistribution({})\n randomValue = distribution.generate_probability_distribution_value()\n\n for i in range(100):\n self.assertIsNotNone(randomValue)\n self.assertGreaterEqual(randomValue, 0)\n\n def test_gaussian_distribution_value_correct(self):\n mu = random.random()\n sigma = random.random()\n\n distribution = pd.GaussianDistribution({'mu':mu,'sigma':sigma})\n randomValue = distribution.generate_probability_distribution_value()\n\n\n for i in range(100):\n self.assertIsNotNone(randomValue)\n self.assertGreaterEqual(randomValue, 0)\n\n def test_exponential_distribution_value_correct(self):\n lambd = 1\n param_dict = {'lambda': lambd}\n\n distribution = pd.ExponentialDistribution(param_dict)\n randomValue = distribution.generate_probability_distribution_value()\n\n for i in range(100):\n self.assertIsNotNone(randomValue)\n self.assertGreaterEqual(randomValue, 0)\n\n def test_explinkloss_distribution_value_positive(self):\n lambd = 0.3\n param_dict = {'lambda': lambd}\n\n distribution = pd.ExplinklossrateDistribution(param_dict)\n randomValue = distribution.generate_probability_distribution_value({'link_error_rate':0.4})\n\n for i in range(100):\n self.assertIsNotNone(randomValue)\n self.assertGreaterEqual(randomValue, 0)\n\n def test_explinkloss_distribution_param_dict_negative(self):\n values = [0,1,{},[],'string']\n for val in values:\n param_dict = val\n\n self.assertRaises(ValueError, pd.ExplinklossrateDistribution, param_dict)\n\n def test_explinkloss_distribution_function_param_dict_negative(self):\n values = [0, 1, {}, [], 'string', None]\n param_dict = {'lambda': 0.2}\n\n distribution = pd.ExplinklossrateDistribution(param_dict)\n for val in values:\n function_param_dict = val\n\n self.assertRaises(ValueError, distribution.generate_probability_distribution_value, function_param_dict)\n\n\n","sub_path":"test/classes/testProbabilityDistributions.py","file_name":"testProbabilityDistributions.py","file_ext":"py","file_size_in_byte":3133,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"242187568","text":"# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n\nimport os\nimport boto3\nimport csv\nimport codecs\n\nimport typing as t\n\nfrom dataclasses import dataclass, field\nfrom hmalib import metrics\nfrom hmalib.common.logging import get_logger\n\nlogger = get_logger(__name__)\n\ns3_client = boto3.client(\"s3\")\nHashRowT = t.Tuple[str, t.Dict[str, t.Any]]\n\n\n@dataclass\nclass S3ThreatDataConfig:\n\n SOURCE_STR = \"te\"\n\n threat_exchange_data_bucket_name: str\n threat_exchange_data_folder: str\n threat_exchange_pdq_file_extension: str\n\n\n@dataclass\nclass ThreatExchangeS3Adapter:\n \"\"\"\n Adapter for reading ThreatExchange data stored in S3. Concrete implementations\n are for a specific indicator type such as PDQ\n\n Assumes CSV file format\n\n Should probably refactor and merge with ThreatUpdateS3Store for writes\n \"\"\"\n\n metrics_logger: metrics.lambda_with_datafiles\n S3FileT = t.Dict[str, t.Any]\n config: S3ThreatDataConfig\n last_modified: t.Dict[str, str] = field(default_factory=dict)\n\n def load_data(self) -> t.Dict[str, t.List[HashRowT]]:\n \"\"\"\n loads all data from all files in TE that are of the concrete implementations indicator type\n\n returns a mapping from file name to list of rows\n \"\"\"\n logger.info(\"Retreiving %s Data from S3\", self.file_type_str_name)\n with metrics.timer(self.metrics_logger.download_datafiles):\n # S3 doesnt have a built in concept of folders but the AWS UI\n # implements folder-like functionality using prefixes. We follow\n # this same convension here using folder name in a prefix search\n s3_bucket_files = s3_client.list_objects_v2(\n Bucket=self.config.threat_exchange_data_bucket_name,\n Prefix=self.config.threat_exchange_data_folder,\n )[\"Contents\"]\n logger.info(\"Found %d Files\", len(s3_bucket_files))\n\n typed_data_files = {\n file[\"Key\"]: self._get_file(file[\"Key\"])\n for file in s3_bucket_files\n if file[\"Key\"].endswith(self.indicator_type_file_extension)\n }\n logger.info(\n \"Found %d %s Files\", len(typed_data_files), self.file_type_str_name\n )\n\n with metrics.timer(self.metrics_logger.parse_datafiles):\n logger.info(\"Parsing %s Hash files\", self.file_type_str_name)\n typed_data = {\n file_name: self._parse_file(**typed_data_file)\n for file_name, typed_data_file in typed_data_files.items()\n }\n return typed_data\n\n @property\n def indicator_type_file_extension(self):\n \"\"\"\n What is the extension for files of this indicator type\n\n eg. pdq.te indicates PDQ files\n \"\"\"\n raise NotImplementedError()\n\n @property\n def file_type_str_name(self):\n \"\"\"\n What types of files does the concrete implementation correspond to\n\n for logging only\n \"\"\"\n raise NotImplementedError()\n\n @property\n def indicator_type_file_columns(self):\n \"\"\"\n What are the csv columns when this type of data is stored in S3\n \"\"\"\n raise NotImplementedError()\n\n def _get_file(self, file_name: str) -> t.Dict[str, t.Any]:\n return {\n \"file_name\": file_name,\n \"data_file\": s3_client.get_object(\n Bucket=self.config.threat_exchange_data_bucket_name, Key=file_name\n ),\n }\n\n def _parse_file(self, file_name: str, data_file: S3FileT) -> t.List[HashRowT]:\n data_reader = csv.DictReader(\n codecs.getreader(\"utf-8\")(data_file[\"Body\"]),\n fieldnames=self.indicator_type_file_columns,\n )\n self.last_modified[file_name] = data_file[\"LastModified\"].isoformat()\n privacy_group = file_name.split(\"/\")[-1].split(\".\")[0]\n return [\n (\n row[\"hash\"],\n # Also add hash to metadata for easy look up on match\n {\n \"id\": int(row[\"indicator_id\"]),\n \"hash\": row[\"hash\"],\n \"source\": self.config.SOURCE_STR, # default for now to make downstream easier to generalize\n \"privacy_groups\": set(\n [privacy_group]\n ), # read privacy group from key\n \"tags\": {privacy_group: row[\"tags\"].split(\" \")}\n if row[\"tags\"]\n else {}, # note: these are the labels assigned by pytx in descriptor.py (NOT a 1-1 with tags on TE)\n },\n )\n for row in data_reader\n ]\n\n\nclass ThreatExchangeS3PDQAdapter(ThreatExchangeS3Adapter):\n \"\"\"\n Adapter for reading ThreatExchange PDQ data stored in CSV files S3\n \"\"\"\n\n @property\n def indicator_type_file_extension(self):\n return self.config.threat_exchange_pdq_file_extension\n\n @property\n def indicator_type_file_columns(self):\n return [\"hash\", \"indicator_id\", \"descriptor_id\", \"timestamp\", \"tags\"]\n\n @property\n def file_type_str_name(self):\n return \"PDQ\"\n","sub_path":"hasher-matcher-actioner/hmalib/common/s3_adapters.py","file_name":"s3_adapters.py","file_ext":"py","file_size_in_byte":5163,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"110929951","text":"# -*- coding: utf-8 -*-\n\n# Imports\n# ------------------------------\nimport os\nimport sys\nimport time\nimport re\n\n# Class\n# ------------------------------\nclass BoolQueryOrSpliter:\n \"\"\"\n Takes a boolean query given by the user. Splits it in several boolean queries without OR statements. \n @args:\n boolQueries : list[str]\n\n \"\"\"\n def __init__(self, stringQuery):\n \"\"\"\n takes a user input, split it in several queries wo OR statement.\n \"\"\"\n \n self.boolQueries = []\n\n listBuffer = re.findall(r'\\([a-zA-Z0-9\\s]+\\)',stringQuery)\n \n if listBuffer == []:\n listBuffer = re.findall(r'[a-zA-Z0-9\\s]+',stringQuery)\n\n for elmt in listBuffer:\n if elmt.startswith('('):\n self.boolQueries.append(elmt[1:-1])\n else:\n self.boolQueries.append(elmt)\n\n def __str__(self):\n \"\"\"\n Standard method allowing to print the boolean query inputed by the user\n \"\"\"\n\n descript = 'The various queries are : \\n'\n\n for elmt in self.boolQueries:\n descript += str(elmt) + '\\n'\n\n return str(descript)\n\n\n# Testing\n# ------------------------------\nif __name__ == \"__main__\":\n inputVar = input('Quelle est votre recherche ?')\n testQ = BoolQueryOrSpliter(inputVar)\n print(testQ)\n\n os.system(\"pause\")","sub_path":"boolQueryOrSpliter.py","file_name":"boolQueryOrSpliter.py","file_ext":"py","file_size_in_byte":1372,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"251235620","text":"\"\"\"\nBoolean geometry utilities.\n\n\"\"\"\n\nfrom __future__ import absolute_import\n#Init has to be imported first because it has code to workaround the python bug where relative imports don't work if the module is imported as a main module.\nimport __init__\n\nimport os\nimport sys\nimport traceback\n\n\n__author__ = 'Enrique Perez (perez_enrique@yahoo.com)'\n__credits__ = 'Art of Illusion
{}\".format(sender_user.first_name)\n for receiver in receiver_users:\n if receiver.is_active == False:\n vt = VerificationTokens()\n vt.related_project = project\n vt.user = receiver\n vt.save()\n message_body = \"I'm part of a really interesting campaign which has the following mission: \\\n
{}\\\n
We are trying to spread the message virally. \\\n I thought of you specifically, so please follow this link to Kehko, and help us reach our goal of {} people!\\\n
Please, open this link from your mobile, if possible.\\\n
\\\n KEHKO\\\n
\".format(project.name, project.target, receiver.email, vt.token)\n msg_new = html_message.format(email_title=email_title, sub_title=sub_title,\n message_body=message_body, final_greeting = final_greeting)\n send_message(email_title, msg_new, \"donotreply@kehko.com\", [receiver.email], html=True, mailgun_campaign=mailgun_campaign)\n else:\n message_body = \"I'm part of a really interesting campaign which has the following mission: \\\n
{}\\\n
We are trying to spread the message virally. \\\n I thought of you specifically, so please follow this link to Kehko, and help us reach our goal of {} people!\\\n
Please, open this link from your mobile, if possible.
\\\n KEHKO\\\n
\".format(project.name, project.target, project.pk)\n msg_new = html_message.format(email_title=email_title, sub_title=sub_title,\n message_body=message_body, final_greeting = final_greeting)\n send_message(email_title, msg_new, \"donotreply@kehko.com\", [receiver.email], html=True, mailgun_campaign=mailgun_campaign)\n \n","sub_path":"projects/utils.py","file_name":"utils.py","file_ext":"py","file_size_in_byte":4953,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"184321783","text":"#!/usr/bin/env python\n\n# Do this so that division of one integer by another integer will - if the\n# result is not an int - produce a float.\n\n# Division in Python 2 and Python 3 is different:\n# https://docs.python.org/3/howto/pyporting.html#division\n#\n# In particular:\n# 5 / 2 == 2.5 in Python 3\n# 5 / 2 == 2 in Python 2\n#\n# The following line makes it so you get Python 3 behavior even if you are\n# still using Python 2. More information is here:\n# https://www.python.org/dev/peps/pep-0238/\n#\nfrom __future__ import division\n\n# Import python modules\nimport sys, json, random, math\nimport numpy as np\nfrom scipy.integrate import quad\n\n# This function returns the value of the integrand at the specified time.\ndef integrand(t,a,b):\n return a*np.exp(-b*t)\n\n# This function generates the data for a question.\ndef getData(vid, options, questionDir):\n # Initialize random number generator by creating a local instance of\n # np.random.RandomState. The reason to create a local instance instead of\n # using the global instance is that the global instance is shared (maybe,\n # on some systems, for some calls...) and so would completely break\n # reproducibility.\n #\n # Use vid as the seed so that getData is a deterministic function of vid,\n # as is a PrairieLearn best practice for reproducibility. To use vid as the\n # seed, it needs to be converted to a 32-bit unsigned int. We do NOT do\n # this with \"hash\" because \"hash\" is often non-deterministic, depending on\n # your version of python.\n #\n # Common uses are:\n # mynprandom.random_sample([size])\n # mynprandom.random_integers(low[, high, size])\n #\n # More information:\n # https://docs.scipy.org/doc/numpy/reference/routines.random.html\n #\n global mynprandom\n mynprandom = np.random.RandomState(int(vid,36))\n\n # Parameters\n #\n # Often we want floating-point numbers from a given interval. One way to\n # generate them would be to sample them uniformly at random:\n #\n # a = (1.0-0.1)*mynprandom.random_sample()+0.1;\n # b = (0.5-0.1)*mynprandom.random_sample()+0.1;\n # c = (15.0-5.0)*mynprandom.random_sample()+5.0;\n #\n # This is often a bad idea, however, because to give these parameters to\n # students you will have to print them to the screen with some number of\n # significant digits. If you are not careful, students will end up using\n # a parameter value that is different from what your code uses.\n #\n # For this reason, it is often better to sample with a specific number of\n # digits after the decimal place:\n #\n # Sample a number between 0.1 (i.e., 10/100) and 1.0 (i.e., 100/100) with\n # at most two digits after the decimal:\n a = mynprandom.random_integers(10,100)/100.0;\n # Sample a number between 0.1 and 0.5 with at most two digits after the\n # decimal:\n b = mynprandom.random_integers(10,50)/100.0;\n # Sample a number between 5 and 15 with at most one digit after the\n # decimal:\n c = mynprandom.random_integers(50,150)/10.0;\n\n # Answer\n theIntegral,theError = quad(integrand,0,c,args=(a,b))\n\n # Create params (you MUST be sure that the number of digits in the\n # string matches the number of digits to which you rounded params,\n # otherwise students will get a different set of params)\n params = {\n \"a\": str(a),\n \"b\": str(b),\n \"c\": str(c)\n }\n\n # Create trueAnswer\n trueAnswer = {\n # The actual answer\n \"theIntegral\": theIntegral,\n # The answer as a string with four digits after the decimal place, so\n # it can be displayed\n \"theIntegralForDisplay\": '{:.{indigits}{iwtype}}'.format(theIntegral,indigits=4,iwtype='f')\n }\n\n questionData = {\n \"params\": params,\n \"trueAnswer\": trueAnswer,\n \"options\": {},\n }\n\n return questionData\n\n# This function grades a submitted answer.\ndef gradeAnswer(vid, params, trueAnswer, submittedAnswer, options):\n msg = ''\n\n # Get the true answer\n tru = trueAnswer['theIntegral']\n\n # Get the submitted answer\n sub = submittedAnswer.get('theIntegral')\n\n # Compare the true answer to the submitted answer. The reason to use\n # \"try/except\" is that the submitted answer may not be in the correct\n # format (or may not even exist). If the submitted answer can be\n # compared to the true answer using np.allclose, then it's either right\n # or wrong. If the submitted answer cannot even be compared (\"except\"),\n # then it's in the wrong format. It is VERY IMPORTANT to use try/except\n # when evaluating submitted answers.\n try:\n # Cast submitted answer as a floating-point number\n sub = float(sub)\n # Compare the true answer to the submitted answer\n if np.allclose(tru,sub,rtol=1e-03,atol=1e-03):\n # It is the same\n score = 1.0\n else:\n # It is not the same\n score = 0.0\n msg += 'The submitted answer is incorrect. '\n except:\n # Either the call to \"float\" or the call to \"np.allclose\" threw an\n # error, which means that the submitted answer has the wrong format.\n score = 0.0\n msg += 'The submitted answer is in the wrong format. '\n\n feedback = {\n 'msg': msg\n }\n\n grading = {\n 'score': score,\n 'feedback': feedback,\n }\n\n return grading\n\n\n########################\n# The interface between PrairieLearn and your code. You can ignore\n# this and, indeed, should not change it\n#\ndef main():\n if len(sys.argv) != 2:\n raise Exception('Expected 2 argments, got %d' % len(sys.argv))\n json_inp = sys.stdin.read()\n inp = json.loads(json_inp)\n if sys.argv[1] == 'getData':\n outp = getData(inp['vid'], inp['options'], inp['questionDir'])\n elif sys.argv[1] == 'gradeAnswer':\n outp = gradeAnswer(inp['vid'], inp['params'], inp['trueAnswer'], inp['submittedAnswer'], inp['options'])\n else:\n raise Exception('Unknown command: %s' % sys.argv[1])\n json_outp = json.dumps(outp)\n sys.stdout.write(json_outp)\n\nif __name__ == '__main__':\n main()\n\n#\n#\n########################\n","sub_path":"questions/numericalIntegration/server.py","file_name":"server.py","file_ext":"py","file_size_in_byte":6154,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"128150662","text":"import cards_input\nimport csv\nfrom pathlib import Path\n\n\n\ncard_list = []\np_save = Path('gradebook.save')\np_csv = Path('gradebook.csv')\ncard_list = [['id', 'firstname', 'lastname','email','phone','city','score','department']]\n\ndef read_info():\n old_info = []\n try:\n students_csv = open(\"gradebook.csv\")\n except:\n print(\"can not find\")\n return\n while True:\n info = students_csv.readline()\n if not info:\n break\n # print(info)\n info = info.rstrip()\n # print(info)\n info = info[1:-1]\n # print(info)\n student_dict = {}\n for x in info.split(\",\"):\n # print(x)\n key_value = []\n for k in x.split(\":\"):\n k = k.strip()\n # print(k)\n if k[0] == k[-1] and len(k) > 2:\n key_value.append(k[1:-1])\n else:\n key_value.append(int(k))\n # print(key_value)\n student_dict[key_value[0]] = key_value[1]\n # print(student_dict)\n old_info.append(student_dict)\n students_csv.close()\n return old_info\n\ndef save_info(card_list):\n try:\n students_csv = open(\"gradebook.csv\", \"w\")\n except Exception as e:\n students_csv = open(\"gradebook.csv\", \"x\")\n for info in card_list:\n students_csv.write(str(info) + \"\\n\")\n students_csv.close()\n\n\ndef show_menu():\n\n \"\"\"Menu\n \"\"\"\n print(\"*\" * 50)\n print(\"welcome student gradebook\")\n print(\"1. add new\")\n print(\"2. show all\")\n print(\"3. search student\")\n print(\"4. save gradebook in to csv\")\n print(\"5. action：1: revise / 2: delete / 0: back to menu\")\n print(\"6. open gradebook\")\n print(\"0. exit system\")\n print(\"*\" * 50)\n\n\ndef new_card():\n\n \"\"\"add new information\n \"\"\"\n print(\"-\" * 50)\n print(\"function：add student\")\n\n id = input(\"input id：\")\n firstname = input(\"input first name：\")\n while True:\n if (u'\\u4e00' <= firstname <= u'\\u9fff'):\n break\n if firstname.isalpha():\n break\n else:\n firstname = input(\"please input correct first name：\")\n\n lastname = input(\"input last name：\")\n while True:\n if (u'\\u4e00' <= lastname <= u'\\u9fff'):\n break\n if lastname.isalpha():\n break\n else:\n lastname = input(\"please input correct last name：\")\n\n score = input(\"input score：\")\n while True:\n if score.isdigit():\n break\n else:\n score = input(\"please input（1-99）：\")\n\n department = input(\"input department：\")\n while True:\n if (u'\\u4e00' <= department <= u'\\u9fff'):\n break\n if department.isalpha():\n break\n else:\n department = input(\"please input correct department name：\")\n\n phone = input(\"input phone number：\")\n city = input(\"input city name：\")\n\n email = input(\"input email address：\")\n\n\n # 2. save student info into dict\n card_dict = {\"id\":id,\n \"firstname\": firstname,\n \"lastname\": lastname,\n \"email\": email,\n \"phone\":phone,\n \"city\":city,\n \"score\":score,\n \"department\": department}\n\n # 3. add user dict to list\n card_list.append(card_dict)\n\n # print(card_list)\n\n # 4.add successfully\n print(\"add %s info successfully\" % card_dict[\"firstname\"])\n\n\ndef show_all():\n\n \"\"\"show all\n \"\"\"\n print(\"-\" * 50)\n print(\"function：show all\")\n\n # 1. exist record or not\n if len(card_list) == 0:\n print(\"hint: can't find records\")\n\n return\n\n # 2. show all\n print(\"id\\\\firstname\\t\\tlastname\\t\\temail\\t\\tphone\\t\\tcity\\t\\tscore\\t\\tdepartment\")\n print(\"-\" * 60)\n\n for card_dict in card_list:\n print(\"%s\\t\\t%s\\t\\t%s\\t\\t%s\\t\\t%s\\t\\t%s\\t\\t%s\\t\\t%s\" % (\n card_dict[\"id\"],\n card_dict[\"firstname\"],\n card_dict[\"lastname\"],\n card_dict[\"email\"],\n card_dict[\"phone\"],\n card_dict[\"city\"],\n card_dict[\"score\"],\n card_dict[\"department\"]))\n\n print(\"-\" * 60)\n\n\ndef binarysearch(arr, n):\n left, right = 0, len(arr) - 1\n\n while (left < right):\n mid = (left + right) // 2\n if arr[mid][\"id\"] == n:\n return arr[mid]\n elif arr[mid][\"id\"] < n:\n left = mid + 1\n else:\n right = mid - 1\n\n # if target is not in the array\n if arr[left][\"id\"] > n:\n return False\n if arr[right][\"id\"] < n:\n return False\n\n return arr[left]\n\n\n print(\"-\" * 50)\n print(\"function：search student information\")\n\n\ndef deal_card(find_dict):\n\n\n\n\n action_str = input(\"action：1: revise/ 2: delete/ 0: back to menu\")\n\n if action_str == \"1\":\n\n find_dict[\"id\"] = cards_input.input_card_info(find_dict[\"id\"],\n \"input id[or tap return]：\")\n find_dict[\"firstname\"] = cards_input.input_card_info(find_dict[\"firstname\"],\n \"input first name[or tap return]：\")\n find_dict[\"lastname\"] = cards_input.input_card_info(find_dict[\"lastname\"],\n \"input last name[or tap return]：\")\n find_dict[\"email\"] = cards_input.input_card_info(find_dict[\"email\"],\n \"input email[or tap return]：\")\n find_dict[\"phone\"] = cards_input.input_card_info(find_dict[\"phone\"],\n \"请输入电话[回车不修改]：\")\n find_dict[\"city\"] = cards_input.input_card_info(find_dict[\"city\"],\n \"input city[or tap return]：\")\n find_dict[\"department\"] = cards_input.input_card_info(find_dict[\"department\"],\n \"input department[or tap return]：\")\n\n print(\"%s information revised successfully！\" % find_dict[\"name\"])\n elif action_str == \"2\":\n\n card_list.remove(find_dict)\n\n print(\"deleted！\")\n\nimport cards_tools\nwhile True:\n\n cards_tools.show_menu()\n\n action = input(\"please select function：\")\n\n print(\"you select：%s\" % action)\n\n\n if action in [\"1\", \"2\", \"3\",\"4\",\"5\",\"6\"]:\n\n if action == \"1\":\n cards_tools.new_card()\n\n elif action == \"2\":\n cards_tools.show_all()\n\n elif action == \"3\":\n ret = cards_tools.binarysearch(card_list,input(\"search id：\"))\n print(ret)\n\n\n\n\n\n\n\n\n\n elif action == \"4\":\n cards_tools.save_info(card_list)\n\n\n elif action==\"5\":\n cards_tools.deal_card()\n\n elif action==\"6\":\n student_info = read_info()\n\n\n\n\n\n\n\n\n\n elif action == \"0\":\n print(\"wwelcome again\")\n\n\n\n else:\n print(\"error，try again：\")\n\n","sub_path":" gradebook project/cards_tools.py","file_name":"cards_tools.py","file_ext":"py","file_size_in_byte":7028,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"579122618","text":"from setuptools import find_packages, setup\n\nwith open('README.rst') as f:\n long_description = f.read()\n\nsetup(\n name='ocdsextensionregistry',\n version='0.0.19',\n author='Open Contracting Partnership',\n author_email='data@open-contracting.org',\n url='https://github.com/open-contracting/extension_registry.py',\n description=\"Eases access to information from the extension registry of the Open Contracting Data Standard\",\n license='BSD',\n packages=find_packages(exclude=['tests', 'tests.*']),\n long_description=long_description,\n install_requires=[\n 'json-merge-patch',\n 'requests',\n 'requests-cache',\n ],\n extras_require={\n 'test': [\n 'pytest',\n ],\n 'docs': [\n 'Sphinx',\n 'sphinx-autobuild',\n 'sphinx_rtd_theme',\n ],\n 'cli': [\n 'Babel',\n 'docutils',\n 'ocds-babel[markdown]>=0.2.0',\n # See https://ocds-babel.readthedocs.io/en/latest/api/translate.html\n # 'recommonmark',\n 'Sphinx',\n ]\n },\n classifiers=[\n 'License :: OSI Approved :: BSD License',\n 'Programming Language :: Python :: 3.6',\n ],\n entry_points={\n 'console_scripts': [\n 'ocdsextensionregistry = ocdsextensionregistry.cli.__main__:main',\n ],\n },\n)\n","sub_path":"pypi_install_script/ocdsextensionregistry-0.0.19.tar/setup.py","file_name":"setup.py","file_ext":"py","file_size_in_byte":1375,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"51883186","text":"\nfile = open('PyPollOutput.txt', 'w')\n\nprint(\"Election Results\")\nfile.write(\"Election Results\\n\")\nprint(\"----------------------------------\")\nfile.write(\"----------------------------------\\n\")\n\nimport os\nimport csv\n\n\n\npypollcsv = 'C:/Users/jessi/Documents/GTATL201808DATA3-master/Homework/03-Python/Instructions/PyPoll/Resources/election_data.csv'\n\nwith open(pypollcsv, 'r') as csvfile:\n\n csvreader = csv.reader(csvfile, delimiter=',')\n\n csv_header = next(csvfile)\n\n pypolldata = list(csvreader)\n\n numbervotes = len(pypolldata)\n\n print(f\"Total Votes: {numbervotes}\")\n file.write(f\"Total Votes: {numbervotes}\\n\")\n print(\"----------------------------------\")\n file.write(\"----------------------------------\\n\")\n\n\n\n candidatetotal = 0\n candidatenames = []\n votenames = []\n maxvotes = 0\n maxname = 0\n\n\n\n\n for vote in pypolldata:\n name = vote[2]\n if name not in candidatenames:\n candidatenames.append(name)\n votenames.append(name)\n\n for name in candidatenames:\n votetotal = votenames.count(name)\n percentofvote = (votetotal/numbervotes)*100\n if votetotal > maxvotes:\n maxvotes = votetotal\n maxname = name\n\n\n\n print(f\"{name}: {round(percentofvote,2)}% ({(votenames.count(name))})\")\n file.write(f\"{name}: {round(percentofvote,2)}% ({(votenames.count(name))})\\n\")\n\n print(\"----------------------------------\")\n file.write(\"----------------------------------\\n\")\n\n print(f\"Winner: {maxname}\")\n file.write(f\"Winner: {maxname}\\n\")\n\nfile.close()\n","sub_path":"PyPoll/main.py","file_name":"main.py","file_ext":"py","file_size_in_byte":1580,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"117594381","text":"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on 25.02.2015\n\n@author: carndt\n\n\"\"\"\n\n__all__ = ('OutgoingTestService')\n\nfrom zato.server.service import Service\n\nclass OutgoingTestService(Service):\n name = \"outgoing-test-service\"\n out_name = \"outgoing-test\"\n\n def handle(self):\n self.logger.info(\"OutgoingTestService.handle called.\")\n self.logger.info(\"Getting outgoing with name '%s'.\", self.out_name)\n outgoing = self.outgoing.plain_http.get(self.out_name)\n self.logger.info(\"Outgoing: %r\", outgoing)\n","sub_path":"tests/outgoingtestservice.py","file_name":"outgoingtestservice.py","file_ext":"py","file_size_in_byte":527,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"643877584","text":"\"\"\"YANG output plugin\"\"\"\n\nimport optparse\nimport re\n\nfrom pyang import plugin\nfrom pyang import util\nfrom pyang import grammar\n\ndef pyang_plugin_init():\n plugin.register_plugin(StripPlugin())\n\nclass StripPlugin(plugin.PyangPlugin):\n def add_output_format(self, fmts):\n fmts['strip'] = self\n self.handle_comments = True\n\n def add_opts(self, optparser):\n optlist = [\n optparse.make_option(\"--strip-module\", type=str,\n dest=\"strip_module\",\n help=\"Colon-separated list of module names to strip out\"),\n optparse.make_option(\"--strip-yang-canonical\",\n dest=\"strip_yang_canonical\",\n action=\"store_true\",\n help=\"Print in canonical order\"),\n optparse.make_option(\"--strip-yang-remove-unused-imports\",\n dest=\"strip_yang_remove_unused_imports\",\n action=\"store_true\"),\n ]\n g = optparser.add_option_group(\"Strip output specific options\")\n g.add_options(optlist)\n\n def emit(self, ctx, modules, fd):\n module = modules[0]\n ctx.opts.strip_module = ctx.opts.strip_module.split(':')\n emit_yang(ctx, module, fd)\n\ndef emit_yang(ctx, module, fd):\n emit_stmt(ctx, module, fd, 0, None, '', ' ')\n\n_force_newline_arg = ('description', 'contact', 'organization')\n_non_quote_arg_type = ('identifier', 'identifier-ref', 'boolean', 'integer',\n 'non-negative-integer', 'date', 'ordered-by-arg',\n 'fraction-digits-arg', 'deviate-arg', 'version',\n 'status-arg')\n\n_kwd_class = {\n 'yang-version': 'header',\n 'namespace': 'header',\n 'prefix': 'header',\n 'belongs-to': 'header',\n 'organization': 'meta',\n 'contact': 'meta',\n 'description': 'meta',\n 'reference': 'meta',\n 'import': 'linkage',\n 'include': 'linkage',\n 'revision': 'revision',\n 'typedef': 'defs',\n 'grouping': 'defs',\n 'identity': 'defs',\n 'feature': 'defs',\n 'extension': 'defs',\n '_comment': 'comment',\n 'module': None,\n 'submodule': None,\n}\ndef get_kwd_class(keyword):\n if util.is_prefixed(keyword):\n return 'extension'\n else:\n try:\n return _kwd_class[keyword]\n except KeyError:\n return 'body'\n\n_keyword_with_trailing_newline = (\n 'typedef',\n 'grouping',\n 'identity',\n 'feature',\n 'extension',\n )\n\n\ndef emit_stmt(ctx, stmt, fd, level, prev_kwd_class, indent, indentstep):\n if ctx.opts.strip_module and stmt.keyword == 'import' and stmt.arg in ctx.opts.strip_module:\n return\n\n if isinstance(stmt.keyword, tuple):\n kw_module, _ = stmt.keyword\n if kw_module in ctx.opts.strip_module:\n return\n \n if ctx.opts.strip_yang_remove_unused_imports and stmt.keyword == 'import':\n for p in stmt.parent.i_unused_prefixes:\n if stmt.parent.i_unused_prefixes[p] == stmt:\n return\n\n if util.is_prefixed(stmt.raw_keyword):\n (prefix, identifier) = stmt.raw_keyword\n keyword = prefix + ':' + identifier\n else:\n keyword = stmt.keyword\n\n kwd_class = get_kwd_class(stmt.keyword)\n if ((level == 1 and\n kwd_class != prev_kwd_class and kwd_class != 'extension') or\n stmt.keyword in _keyword_with_trailing_newline):\n fd.write('\\n')\n\n if keyword == '_comment':\n emit_comment(stmt.arg, fd, indent)\n return\n\n fd.write(indent + keyword)\n if stmt.arg != None:\n if keyword in grammar.stmt_map:\n (arg_type, _subspec) = grammar.stmt_map[keyword]\n if arg_type in _non_quote_arg_type:\n fd.write(' ' + stmt.arg)\n else:\n emit_arg(stmt, fd, indent, indentstep)\n else:\n emit_arg(stmt, fd, indent, indentstep)\n if len(stmt.substmts) == 0:\n fd.write(';\\n')\n else:\n fd.write(' {\\n')\n if ctx.opts.strip_yang_canonical:\n substmts = grammar.sort_canonical(stmt.keyword, stmt.substmts)\n else:\n substmts = stmt.substmts\n if level == 0:\n kwd_class = 'header'\n for s in substmts:\n emit_stmt(ctx, s, fd, level + 1, kwd_class,\n indent + indentstep, indentstep)\n kwd_class = get_kwd_class(s.keyword)\n fd.write(indent + '}\\n')\n\ndef emit_arg(stmt, fd, indent, indentstep):\n \"\"\"Heuristically pretty print the argument string\"\"\"\n # current alg. always print a double quoted string\n arg = stmt.arg\n arg = arg.replace('\\\\', r'\\\\')\n arg = arg.replace('\"', r'\\\"')\n arg = arg.replace('\\t', r'\\t')\n lines = arg.splitlines(True)\n if len(lines) <= 1:\n if len(arg) > 0 and arg[-1] == '\\n':\n arg = arg[:-1] + r'\\n'\n if stmt.keyword in _force_newline_arg:\n fd.write('\\n' + indent + indentstep + '\"' + arg + '\"')\n else:\n fd.write(' \"' + arg + '\"')\n else:\n fd.write('\\n')\n fd.write(indent + indentstep + '\"' + lines[0])\n for line in lines[1:-1]:\n fd.write(indent + indentstep + ' ' + line)\n # write last line\n fd.write(indent + indentstep + ' ' + lines[-1])\n if lines[-1][-1] == '\\n':\n # last line ends with a newline, indent the ending quote\n fd.write(indent + indentstep + '\"')\n else:\n fd.write('\"')\n\ndef emit_comment(comment, fd, indent):\n lines = comment.splitlines(True)\n for x in lines:\n if x[0] == '*':\n fd.write(indent + ' ' + x)\n else:\n fd.write(indent + x)\n fd.write('\\n')\n","sub_path":"plugins/strip.py","file_name":"strip.py","file_ext":"py","file_size_in_byte":5764,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"124553067","text":"from marvelous.models.user import User\nfrom marvelous.models.daily_bonus import DailyBonus\nfrom marvelous.settings import app_settings\nimport discord\n\n\ndef get_initial_user(user: discord.User):\n return User(\n discord_id=user.id,\n display_name=user.display_name,\n marvelous_bonus=DailyBonus(step=0, today=0),\n booing_penalty=DailyBonus(step=0, today=0),\n super_marvelous_left=app_settings.super_marvelous.initial_left_count,\n survival_bonus_given=False,\n point=0,\n )\n","sub_path":"app/src/marvelous/client/discord/actions/get_initial_user.py","file_name":"get_initial_user.py","file_ext":"py","file_size_in_byte":521,"program_lang":"python","lang":"en","doc_type":"code","dataset":"code-starcoder2","pt":"30"} +{"seq_id":"145209779","text":"from django.conf.urls import url\nfrom rest_framework.urlpatterns import format_suffix_patterns\nfrom order import views\n\nurlpatterns = [\n url(r'^shops$', views.ShopList.as_view()),\n url(r'^shops/(?P
Usage
\n#\n# All files that use the CS 110 Graphics package must have the following line\n# at the top of the file.\n# @code\n# from cs110graphics import *\n# @endcode\n# A simple implementation using the CS 110 Graphics package is shown below.\n# The shown code will create a window and add a rectangle. StartGraphicsSystem\n# must be used in all files to create the window and begin the main function.\n# @code\n# from cs110graphics import *\n#\n# def main(window):\n# rectangle = Rectangle(window)\n# window.add(rectangle)\n#\n# if __name__ == \"__main__\":\n# StartGraphicsSystem(main)\n# @endcode\n# @authors Paul Magnus '18\n# @authors Ines Ayara '20\n# @authors Matthew R. Jenkins '20\n# @version 1.2\n# @date Summer 2017\n\nfrom tkinter import * # for pretty much everything graphics related\nimport math # for rotate\nimport inspect\nfrom PIL import Image as image # for Image class\nfrom PIL import ImageTk as itk # for Image class\n\n## @file cs110graphics.py\n# The main cs110graphics file\n\n\n#-------------------------------------------------------------------------------\n#\n# Window\n#\n#-------------------------------------------------------------------------------\n\n## Window acts as a canvas which other objects can be put onto.\n#\n# The standard size of window created by StartGraphicsSystem is\n# width = 400, height = 400.\nclass Window:\n ## @param width - int - The width of the canvas\n # @param height - int - The height of the canvas\n # @param background - str - Background color of canvas. Can be either the\n # name of a color (\"yellow\"), or a hex code (\"#FFFF00\")\n # @param name - str - The title of the window\n # @param first_function - proc(Window) - (default: None) When the\n # window is created, it runs this function.\n # @param master - unkown type - (default: None) The parent widget.\n # @warning Unless you understand how Tkinter works do not change master\n def __init__(self, width, height, background, name, first_function=None,\n master=None):\n # type checking\n assert isinstance(width, int) and isinstance(height, int) and \\\n isinstance(background, str) and isinstance(name, str), \\\n \"Make sure width is an int, height is an int, background is a \" + \\\n \"string, and name is a string.\"\n # saving the given variables\n self._width = width\n self._height = height\n self._background = background\n self._name = name\n self._first_function = first_function\n # self._graphics contains a running tally of what objects are on the\n # canvas\n # [0] = depth, [1] = tag, [2] = object ID\n self._graphics = []\n # initalizing a frame and canvas using tkinter\n self._root = Tk()\n self._frame = Frame(master)\n self._frame.pack()\n self._canvas = Canvas(self._frame)\n self._canvas.pack()\n self._canvas.focus_set()\n # using our built in functions to set height, width, and background\n self.set_height(height)\n self.set_width(width)\n self.set_title(name)\n self.set_background(background)\n # running first function\n self._first_function(self)\n\n ## Adds an object to the Window.\n # @param graphic - GraphicalObject\n def add(self, graphic):\n # type checking\n assert isinstance(graphic, GraphicalObject), \\\n \"Make sure graphic is a GraphicalObject.\"\n # deferring to each object since each object requires a different\n # method of construction\n graphic._add_to()\n\n ## Removes an object from the Window object, assuming\n # the object being deleted exists.\n # @param graphic - GraphicalObject\n def remove(self, graphic):\n # type checking and making sure the object is in the list\n assert isinstance(graphic, GraphicalObject) and \\\n [graphic._depth, graphic._tag, graphic] in self._graphics, \\\n \"Make sure graphic is a GraphicalObject and the graphic has \" + \\\n \"been added to the board.\"\n # removes from the window, then the list, then sets the tag to None and\n # disables the object (for readding later)\n graphic._remove_from(self)\n self._graphics.remove([graphic._depth, graphic._tag, graphic])\n graphic._tag = None\n graphic._enabled = False\n\n ## Returns the height of the window as an integer.\n # @return height - int\n def get_height(self):\n return self._height\n\n ## Returns the width of the window as an integer.\n # @return width - int\n def get_width(self):\n return self._width\n\n ## Sets the background color of the canvas.\n # @param background - string - Background color of canvas. Can be either the\n # name of a color (\"yellow\"), or a hex code (\"#FFFF00\")\n def set_background(self, background):\n # type checking\n assert isinstance(background, str), \\\n \"Make sure the background color is a string.\"\n self._background = background\n self._canvas.configure(bg=background)\n\n ## Sets the height of the canvas.\n # @param height - int\n def set_height(self, height):\n # type checking\n assert isinstance(height, int), \\\n \"Make sure the height is an int.\"\n self._height = height\n self._canvas.configure(height=height)\n\n ## Sets the title of the window holding the canvas.\n # @param name - string\n def set_title(self, name):\n # type checking\n assert isinstance(name, str), \\\n \"Make sure the window title is a string.\"\n self._name = name\n self._root.title(name)\n\n ## Sets the width of the canvas.\n # @param width - height\n def set_width(self, width):\n # type checking\n assert isinstance(width, int), \\\n \"Make sure the width is an int.\"\n self._width = width\n self._canvas.configure(width=width)\n\n # Whenever an object is updated through external functions, its tag is\n # overwritten. This function goes into self._graphics and replaces the old\n # tag with a newer one, as well as replacing its depth with a newer one.\n def _update_tag(self, graphic):\n # goes through every item in self._graphics, then saves the object's\n # tag and depth if it's found\n for item in self._graphics:\n if item[2] == graphic:\n item[1] = graphic._tag\n item[0] = graphic._depth\n\n\n#-------------------------------------------------------------------------------\n#\n# StartGraphicsSystem\n#\n#-------------------------------------------------------------------------------\n \n## This initalizes the graphics system.\n# @param first_function - func\n# @param width - int - (default: 400)\n# @param height - int - (default: 400)\n# @param background - string - (default: \"white\")\n# Background color of canvas. Can be either the\n# name of a color (\"yellow\"), or a hex code (\"#FFFF00\")\n# @param name - string - (default: \"Graphics Window\")\n# The title of the window\ndef StartGraphicsSystem(first_function, width=400, height=400,\n background=\"white\", name=\"Graphics Window\"):\n # creates a window with each parameter\n win = Window(width, height, background, name, first_function)\n # this emulates a mainloop tkinter instance, and allows for quieter\n # exception handling. it still won't handle tk.afters too well. TODO\n try:\n while True:\n win._canvas.update()\n win._canvas.after(200)\n except TclError:\n pass\n\n\n#-------------------------------------------------------------------------------\n#\n# Event\n#\n#-------------------------------------------------------------------------------\n \n## An object representing an action from the user. Used by EventHandler objects.\n# User actions that create Event objects include:\n# - Pressing/Releasing a key on the keyboard\n# - Pressing/Releasing a button on the mouse while on a GraphicalObject with an\n# event handler\n# - Moving the mouse while on a GraphicalObject with an event handler\n#\n# Each of these actions will call their corresponding methods in EventHandler\n# automatically and give an instance of Event to the method called.\nclass Event:\n \n def __init__(self, event):\n # converting each necessary tkinter event parameter to something easier\n # to get access to and easier to understand\n self._type = event.type\n self._location = (event.x, event.y)\n self._rootLocation = (event.x_root, event.y_root)\n self._keysym = event.keysym\n self._num = event.num\n\n ## Returns the mouse button that is attached to the event. Returns\n # None if\n # the button fails to exist (like if the Event handles a key press).\n # @return button - str\n #\n # Possible returns are:\n # - \"Left Mouse Button\"\n # - \"Right Mouse Button\"\n # - \"Middle Mouse Button\"\n # - None\n def get_button(self):\n # this is mostly to handle user stupidity - why would you put\n # get_button in a handle_key function if get_key exists?\n if self._num == \"??\":\n return None\n # dictionary to translate each number to a string\n numTranslation = {\n 1: \"Left Mouse Button\",\n 2: \"Middle Mouse Button\",\n 3: \"Right Mouse Button\"\n }\n return numTranslation[self._num]\n\n ## Returns the description of the event.\n # @return description - str\n #\n # Possible returns are:\n # - \"Key Press\"\n # - \"Key Release\"\n # - \"Mouse Press\"\n # - \"Mouse Release\"\n # - \"Mouse Move\"\n # - \"Mouse Enter\"\n # - \"Mouse Leave\"\n def get_description(self):\n # dictionary to translate each number to a string\n descriptionTranslation = {\n '2': \"Key Press\",\n '3': \"Key Release\",\n '4': \"Mouse Press\",\n '5': \"Mouse Release\",\n '6': \"Mouse Move\",\n '7': \"Mouse Enter\",\n '8': \"Mouse Leave\",\n }\n return descriptionTranslation[self._type]\n\n ## Returns the keyboard key that is attached to the event. Returns None if\n # the key fails to exist (like if the Event handles a mouse press).\n # @return key - str\n #\n # Most keys will evaluate to a single character (eg. pressing the a-key will\n # result in \"a\" while pressing shift-a will result in \"A\").\n def get_key(self):\n # this is mostly to handle user stupidity - why would you put\n # get_key in a handle_mouse function if get_button exists?\n if self._keysym == \"??\":\n return None\n return self._keysym\n\n ## Returns a tuple of the x and y coordinates of the mouse\n # location in the canvas.\n # @return location - tuple of (int * int) - (e.g. (200, 200))\n def get_mouse_location(self):\n return self._location\n\n ## Returns a tuple of the x and y coordinates of the mouse location in the\n # window. Typically using get_mouse_location is more applicable.\n # @return location - tuple of (int * int) - (e.g. (200, 200))\n def get_root_mouse_location(self):\n return self._rootLocation\n\n\n#-------------------------------------------------------------------------------\n#\n# EventHandler\n#\n#-------------------------------------------------------------------------------\n\n## The EventHandler class should be extended by any class that reacts to user\n# input in the form of some action with the computer mouse or the keyboard.\n# Each method inherited from the EventHandler class takes an Event object as\n# a parameter. The methods available to Event can be useful for interpreting\n# how a call to each method should be handled. For example usage of\n# event.get_key() can be used to destinguish between the keys used in navigating\n# a character in a game.\n#\n# A sample program using the EventHandler is shown below.\n# @code\n# from cs110graphics import *\n#\n# class Bot(EventHandler):\n# \"\"\" A bot made up of a square that detects interaction from the user. \"\"\"\n#\n# def __init__(self, window):\n# \"\"\" Creates the bot which is comprised of one square and adds the Bot\n# as the event handler for the square body. \"\"\"\n# self._window = window\n#\n# # create the body of the Bot and add this class\n# # as the handler\n# self._body = Square(window)\n# self._body.add_handler(self)\n#\n# def add_to_window(self):\n# \"\"\" This method adds the graphical representation of the bot\n# to the window. \"\"\"\n# self._window.add(self._body)\n#\n# ##########################################################################\n# # Event handling methods \n# ##########################################################################\n#\n# def handle_key_press(self, event):\n# \"\"\" Prints what key was pressed. This is called whenever a key is\n# pressed regardless of the mouse position. \"\"\"\n# print(event.get_key(), \"was pressed\")\n#\n# def handle_key_release(self, event):\n# \"\"\" Prints what key was released. This is called whenever a key is\n# pressed regardless of the mouse position. \"\"\"\n# print(event.get_key(), \"was released\")\n#\n# def handle_mouse_enter(self, event):\n# \"\"\" Prints where the mouse entered the Bot. \"\"\"\n# print(\"The mouse entered the bot at\", event.get_mouse_location())\n#\n# def handle_mouse_leave(self, event):\n# \"\"\" Prints where the mouse left the Bot. \"\"\"\n# print(\"The mouse left the bot at\", event.get_mouse_location())\n#\n# def handle_mouse_move(self, event):\n# \"\"\" Prints when the mouse moves while on the Bot. \"\"\"\n# print(\"The mouse moved to\", event.get_mouse_location())\n#\n# def handle_mouse_press(self, event):\n# \"\"\" Prints where the mouse was pressed while on the Bot. \"\"\"\n# print(\"The mouse was pressed at\", event.get_mouse_location())\n#\n# def handle_mouse_release(self, event):\n# \"\"\" Prints where the mouse was released while on the Bot. \"\"\"\n# print(\"The mouse was released at\", event.get_mouse_location())\n#\n# def main(window):\n# bot = Bot(window)\n# bot.add_to_window()\n#\n# if __name__ == \"__main__\":\n# StartGraphicsSystem(main)\n# @endcode\nclass EventHandler:\n def __init__(self):\n pass\n \n ## Handles a key press.\n # This function will be called whenever a key is pressed while the window is\n # active. The event parameter can be used to determine which key was\n # pressed. For example:\n # @code\n # class Handler(EventHandler):\n # def handle_key_press(self, event):\n # if \"a\" == event.get_key():\n # # do something when a is pressed...\n # else:\n # # do something else...\n # @endcode\n # @param event - Event - the event that occurred\n def handle_key_press(self, event):\n pass\n\n ## Handles a key release.\n # This method will be called whenever a key is released while the window is\n # active. The event parameter can be used to determine which key was\n # pressed. For example:\n # @code\n # class Handler(EventHandler):\n # def handle_key_release(self, event):\n # if \"a\" == event.get_key():\n # # do something when a is released...\n # else:\n # # do something else...\n # @endcode\n # @param event - Event - the event that occurred\n def handle_key_release(self, event):\n pass\n\n ## Handles when a mouse enters an object.\n # This is called by the system when the mouse enters the GraphicalObject\n # that this handler is an event handler for. The event parameter can be used\n # to determine the location at which the mouse entered the object.\n # @code\n # class Handler(EventHandler):\n # def handle_mouse_enter(self, event):\n # mouse_location = event.get_mouse_location()\n # @endcode\n # @param event - Event - the event that occurred\n def handle_mouse_enter(self, event):\n pass\n\n ## Handles when a mouse leaves an object.\n # This is called by the system when the mouse leaves the GraphicalObject\n # that this handler is an event handler for. The event parameter can be used\n # to determine the location at which the mouse left the object.\n # @code\n # class Handler(EventHandler):\n # def handle_mouse_leave(self, event):\n # mouse_location = event.get_mouse_location()\n # @endcode\n # @param event - Event - the event that occurred\n def handle_mouse_leave(self, event):\n pass\n\n ## Handles a mouse move.\n # This is called by the system when the mouse moves within the\n # GraphicalObject that this handler is an event handler for. The event\n # parameter can be used to determine the location that the mouse moved to.\n # @code\n # class Handler(EventHandler):\n # def handle_mouse_move(self, event):\n # mouse_location = event.get_mouse_location()\n # @endcode\n # @param event - Event - the event that occurred\n def handle_mouse_move(self, event):\n pass\n\n ## Handles a mouse press.\n # This is called by the system when a mouse button is pressed while the\n # mouse is on the GraphicalObject that this handler is an event handler for.\n # The event parameter can be used to determine the location at which the\n # mouse button was pressed and which mouse button was pressed.\n # @code\n # class Handler(EventHandler):\n # def handle_mouse_press(self, event):\n # mouse_location = event.get_mouse_location()\n # mouse_button = event.get_button()\n # @endcode\n # @param event - Event - the event that occurred\n def handle_mouse_press(self, event):\n pass\n\n ## Handles a mouse release.\n # This is called by the system when a mouse button is released while the\n # mouse is on the GraphicalObject that this handler is an event handler for.\n # The event parameter can be used to determine the location at which the\n # mouse button was released and which mouse button was released.\n # @code\n # class Handler(EventHandler):\n # def handle_mouse_release(self, event):\n # mouse_location = event.get_mouse_location()\n # mouse_button = event.get_button()\n # @endcode\n # @param event - Event - the event that occurred\n def handle_mouse_release(self, event):\n pass\n\n\n# \"Overwrites\" the event handler and calls an external EventHandler.\ndef _call_handler(handler, event):\n # checks if argument count is > 1 and then appends the event to the handler\n # if it is\n arg_count = len(inspect.getargs(handler.__code__)[0])\n if arg_count == 1:\n handler()\n else:\n handler(event)\n\n\n#-------------------------------------------------------------------------------\n#\n# GraphicalObject\n#\n#-------------------------------------------------------------------------------\n\n## This is a parent class of any object which can be put into Window. No\n# constructor exists in this class, but its methods are used by other objects\n# that extend/inherit this class.\n#\n# Default values:\n# - depth = 50\n# - center = (200, 200)\nclass GraphicalObject:\n def __init__(self):\n self._depth = 50\n self._center = (200, 200)\n self._has_handlers = False\n\n ## Adds a handler to the graphical object.\n # @param handler_object - EventHandler - the object that handles\n # the events for this GraphicalObject\n def add_handler(self, handler_object):\n def key_press(event):\n tkEvent = Event(event)\n _call_handler(handler_object.handle_key_press, tkEvent)\n\n def key_release(event):\n tkEvent = Event(event)\n _call_handler(handler_object.handle_key_release, tkEvent)\n\n def mouse_enter(event):\n tkEvent = Event(event)\n _call_handler(handler_object.handle_mouse_enter, tkEvent)\n\n def mouse_leave(event):\n tkEvent = Event(event)\n _call_handler(handler_object.handle_mouse_leave, tkEvent)\n\n def mouse_move(event):\n tkEvent = Event(event)\n _call_handler(handler_object.handle_mouse_move, tkEvent)\n\n def mouse_press(event):\n tkEvent = Event(event)\n _call_handler(handler_object.handle_mouse_press, tkEvent)\n\n def mouse_release(event):\n tkEvent = Event(event)\n _call_handler(handler_object.handle_mouse_release, tkEvent)\n\n # this is to enable readding handlers after each object's tag is\n # changed\n self._parent_object = handler_object\n self._has_handlers = True\n # the duplicates are necessary to allow support for multiple mouse\n # buttons\n types = [\"