xszheng2020/the_stack_dedup_python_hits_1 · Datasets at Hugging Face

a4474528822317d73d77d6d9db96f75001ee8d9a

1,549

py

Python

tracardi/tests/unit/mocks/mock_storage.py

ryomahan/read-tracardi

216b05395d70a869593a60e2804e0a71b58dfc8f

[ "MIT" ]

29

2021-04-17T06:04:46.000Z

2021-11-25T10:22:43.000Z

tracardi/tests/unit/mocks/mock_storage.py

ryomahan/read-tracardi

216b05395d70a869593a60e2804e0a71b58dfc8f

[ "MIT" ]

77

2021-04-03T21:20:04.000Z

2021-10-17T10:12:23.000Z

tracardi/tests/unit/mocks/mock_storage.py

ryomahan/read-tracardi

216b05395d70a869593a60e2804e0a71b58dfc8f

[ "MIT" ]

17

2021-06-29T13:13:18.000Z

2021-10-17T10:52:57.000Z

sessions = [{ "1": { "type": "session", "source": {"id": "scope"}, "id": "1", 'profile': {"id": "1"} } }] profiles = [ {"1": {'id': "1", "traits": {}}}, {"2": {'id': "2", "traits": {}}}, ] class MockStorageCrud: def __init__(self, index, domain_class_ref, entity): self.index = index self.domain_class_ref = domain_class_ref self.entity = entity if index == 'session': self.data = sessions elif index == 'profile': self.data = profiles async def load(self): for item in self.data: if self.entity.id in item: return self.domain_class_ref(**item[self.entity.id]) return None async def save(self): self.data.append({self.entity.id: self.entity.dict(exclude_unset=True)}) async def delete(self): del(self.data[self.entity.id]) class EntityStorageCrud: def __init__(self, index, entity): self.index = index self.entity = entity if index == 'session': self.data = sessions elif index == 'profile': self.data = profiles async def load(self, domain_class_ref): for item in self.data: if self.entity.id in item: return domain_class_ref(**item[self.entity.id]) return None async def save(self): self.data.append({self.entity.id: self.entity.dict(exclude_unset=True)}) async def delete(self): del(self.data[self.entity.id])

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a44a4231fa12b52d4dbb4a4c31e144cce9f32f67

491

py

Python

examples/null_support/client.py

amrhgh/django-grpc-framework

158e1d9001bd426410ca962e2f72b14ee3e2f935

[ "Apache-2.0" ]

269

2020-05-06T03:22:43.000Z

2022-03-26T21:05:24.000Z

examples/null_support/client.py

amrhgh/django-grpc-framework

158e1d9001bd426410ca962e2f72b14ee3e2f935

[ "Apache-2.0" ]

19

2020-06-03T03:46:39.000Z

2022-03-30T20:24:55.000Z

examples/null_support/client.py

amrhgh/django-grpc-framework

158e1d9001bd426410ca962e2f72b14ee3e2f935

[ "Apache-2.0" ]

39

2020-05-27T07:23:12.000Z

2022-03-27T13:10:24.000Z

import grpc import snippets_pb2 import snippets_pb2_grpc from google.protobuf.struct_pb2 import NullValue with grpc.insecure_channel('localhost:50051') as channel: stub = snippets_pb2_grpc.SnippetControllerStub(channel) request = snippets_pb2.Snippet(id=1, title='snippet title') # send non-null value # request.language.value = "python" # send null value request.language.null = NullValue.NULL_VALUE response = stub.Update(request) print(response, end='')

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a44c48f3e3ce5e20e3e7b72b596dd9b53b3b830c

326

py

Python

exercicios_mundo-I/ex008.py

Lucas-Lourencao/ExerciciosPython

e43ce23dbddd126abb9ce6c02bd39dac3677856e

[ "MIT" ]

null

exercicios_mundo-I/ex008.py

Lucas-Lourencao/ExerciciosPython

e43ce23dbddd126abb9ce6c02bd39dac3677856e

[ "MIT" ]

null

exercicios_mundo-I/ex008.py

Lucas-Lourencao/ExerciciosPython

e43ce23dbddd126abb9ce6c02bd39dac3677856e

[ "MIT" ]

null

m = float(input('Digite uma distância em metros: ')) k = m/1000 hct = m/100 dct = m/10 dcm = m*10 cm = m*100 mm = m*1000 print('A distância de {} metros informada corresponde a: \n{} Quilômetros;\n{} Hectômetros;\n{}Decâmetros;\n{:.0f}Decímetros;\n{:.0f}Centímetros e;\n{:.0f}Milímetros.'.format(m, k, hct, dct, dcm, cm, mm))

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a450260365598db276731bd5e9a50fe2e149415c

180

py

Python

ta_bot/__main__.py

ToxicPie/discord-ta-bot

7ea163b11491039d2a287195d2026c4ed4b50b3b

[ "MIT" ]

null

ta_bot/__main__.py

ToxicPie/discord-ta-bot

7ea163b11491039d2a287195d2026c4ed4b50b3b

[ "MIT" ]

null

ta_bot/__main__.py

ToxicPie/discord-ta-bot

7ea163b11491039d2a287195d2026c4ed4b50b3b

[ "MIT" ]

null

import os from . import setup_bot bot_token = os.environ.get('DISCORD_BOT_TOKEN') bot_prefix = os.environ.get('COMMAND_PREFIX') bot = setup_bot(bot_prefix) bot.run(bot_token)

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a453f35423943d09ee98cc3713636f0e0c38c6c2

321

py

Python

modules/controller/commands/key.py

TheSlimvReal/PSE---LA-meets-ML

7614db17ae746c7b02dd95bd44d2c91ee3c1e662

[ "BSD-2-Clause" ]

4

2018-11-01T16:14:21.000Z

2019-11-21T14:13:53.000Z

modules/controller/commands/key.py

TheSlimvReal/PSE---LA-meets-ML

7614db17ae746c7b02dd95bd44d2c91ee3c1e662

[ "BSD-2-Clause" ]

56

2018-10-31T15:09:05.000Z

2020-04-25T13:10:27.000Z

modules/controller/commands/key.py

TheSlimvReal/PSE---LA-meets-ML

7614db17ae746c7b02dd95bd44d2c91ee3c1e662

[ "BSD-2-Clause" ]

1

2019-03-14T15:26:42.000Z

from enum import Enum ## enum that represents the possible keys a user can enter # # @extends Enum to get the enum logic class Key(Enum): QUIT = 0 AMOUNT = 1 NAME = 2 SIZE = 3 PATH = 4 GENERATE = 5 SAVING_PATH = 6 TRAIN = 7 NETWORK = 8 SOLVE = 9 HELP = 10 UPDATE = 11

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null

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1

a4669d9d29d0ac94144a7a972f616e9948724859

3,337

py

Python

_tests/test_app.py

EinsteinCarrey/Shoppinglist

8a5dbd22687619b189d69522090c0bc226384663

[ "MIT" ]

null

_tests/test_app.py

EinsteinCarrey/Shoppinglist

8a5dbd22687619b189d69522090c0bc226384663

[ "MIT" ]

8

2017-08-29T02:47:57.000Z

2019-10-18T16:32:23.000Z

_tests/test_app.py

EinsteinNjoroge/Shoppinglist

8a5dbd22687619b189d69522090c0bc226384663

[ "MIT" ]

3

2017-08-29T08:49:08.000Z

2018-03-02T03:43:01.000Z

from unittest import TestCase import global_functions import app from app import flask_app class TestApp(TestCase): def setUp(self): self.app = app self.username = "newuser" self.pword = "password123" self.test_client_app = flask_app.test_client() self.test_client_app.testing = True def tearDown(self): self.app = None self.username = None self.pword = None self.test_client_app = None def test_user_accounts_is_dict(self): self.assertIsInstance(self.app.user_accounts, dict) def test_create_user_account_without_username(self): self.assertEqual( self.app.create_user_account("", "pword"), "User must provide a username" ) def test_create_user_account_with_invalid_username(self): self.assertEqual( self.app.create_user_account([], "pword"), "Username must be string" ) def test_create_user_account_with_invalid_username_characters(self): self.assertEqual( self.app.create_user_account("@#^&&", "pword"), "Username should only contain letters and numbers" ) def test_create_user_account_without_password(self): self.assertEqual( self.app.create_user_account("username", ""), "User must provide a pword" ) def test_create_user_account_with_invalid_password(self): self.assertEqual( self.app.create_user_account("username", 12546), "Password provided must be a string" ) def test_create_user_account_with_short_password(self): self.assertEqual( self.app.create_user_account("username", "123"), "Password should have at-least 6 characters" ) def test_create_user_account(self): self.app.create_user_account("username", "1234567") self.assertTrue(len(self.app.user_accounts) == 1) def test_create_user_account_password_is_hashed(self): self.app.create_user_account(self.username, self.pword) stored_password = self.app.user_accounts[self.username].password_hash self.assertEqual( stored_password, global_functions.sha1_hash(self.pword), msg="Stored passwords should be Hashed" ) def test_create_user_with_duplicate_username(self): self.app.create_user_account("username", "1234567") self.assertEqual( self.app.create_user_account("username", "1234567"), "Username username is already taken. Use a unique username" ) def test_login_without_password(self): self.assertEqual( self.app.login("username", None), "Password must be provided" ) def test_login_with_invalid_password(self): self.assertEqual( self.app.login("username", "asdasdsds"), "Wrong credentials combination" ) def test_login_without_username(self): self.assertEqual( self.app.login(None, "asdasdsds"), "Username must be provided" ) def test_login_with_invalid_username(self): self.assertEqual( self.app.login("non-existent-username", "asdasdsds"), "Wrong credentials combination" )

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a46bebce2e5af6624fe2efad9d1562b2a2de61f2

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py

Python

script/sklearn_like_toolkit/warpper/skClf_wrapper/skRidgeCVClf.py

demetoir/MLtools

8c42fcd4cc71728333d9c116ade639fe57d50d37

[ "MIT" ]

null

script/sklearn_like_toolkit/warpper/skClf_wrapper/skRidgeCVClf.py

demetoir/MLtools

8c42fcd4cc71728333d9c116ade639fe57d50d37

[ "MIT" ]

null

script/sklearn_like_toolkit/warpper/skClf_wrapper/skRidgeCVClf.py

demetoir/MLtools

8c42fcd4cc71728333d9c116ade639fe57d50d37

[ "MIT" ]

null

from sklearn.linear_model import RidgeClassifierCV as _RidgeClassifierCV from script.sklearn_like_toolkit.warpper.base.BaseWrapperClf import BaseWrapperClf from script.sklearn_like_toolkit.warpper.base.MixIn import MetaBaseWrapperClfWithABC class skRidgeCVClf(_RidgeClassifierCV, BaseWrapperClf, metaclass=MetaBaseWrapperClfWithABC): def __init__(self, alphas=(0.1, 1.0, 10.0), fit_intercept=True, normalize=False, scoring=None, cv=None, class_weight=None): _RidgeClassifierCV.__init__(self, alphas, fit_intercept, normalize, scoring, cv, class_weight) BaseWrapperClf.__init__(self) HyperOpt_space = {} tuning_grid = { # shape positive float 'alphas': (0.1, 1.0, 10.0), # 'cv': None, # 'scoring': None, # 'class_weight': None # 'fit_intercept': True, # 'normalize': False, }

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a477cbe56b0f143b53d9193de114c7aa2f5db5ad

2,195

py

Python

app.py

10239847509238470925387z/tmp123

e899272ab0da746d7d31e3f2323530fb4e0272e9

[ "Apache-2.0" ]

null

app.py

10239847509238470925387z/tmp123

e899272ab0da746d7d31e3f2323530fb4e0272e9

[ "Apache-2.0" ]

null

app.py

10239847509238470925387z/tmp123

e899272ab0da746d7d31e3f2323530fb4e0272e9

[ "Apache-2.0" ]

null

#!/usr/bin/env python import urllib import json import os import constants import accounts from flask import Flask from flask import request from flask import make_response # Flask app should start in global layout app = Flask(__name__) PERSON = constants.TEST_1 @app.route('/webhook', methods=['POST']) def webhook(): req = request.get_json(silent=True, force=True) print("Request:") print(json.dumps(req, indent=4)) res = makeWebhookResult(req) res = json.dumps(res, indent=4) print(res) r = make_response(res) r.headers['Content-Type'] = 'application/json' return r def makeWebhookResult(req): if req.get("result").get("action") != "account-balance": return constants.ERR_DICT(req.get("result").get("action")) result = req.get("result") parameters = result.get("parameters") acct = parameters.get("account-type") acct = acct.strip() if acct=='401k': acct='WI' qual = parameters.get("qualifier") speech = str(req.get("result").get("action")) if acct: if acct in constants.ACCT_TYPES: speech = "The value of your {ACCT_TYPE} accounts is {VALU} dollars.".format(VALU=accounts.get_balance(PERSON, acct), ACCT_TYPE=acct) else: speech = "You don't have any accounts of that type. The total value of your other accounts is {VALU} dollars.".format( VALU=accounts.get_balance(PERSON)) elif qual: speech = "The total value of your accounts is {VALU} dollars.".format(VALU=accounts.get_balance(PERSON)) else: speech = "The total value of your accounts is {VALU} dollars.".format(VALU=accounts.get_balance(PERSON)) # speech = "The cost of shipping to " + zone + " is " + str(cost[zone]) + " euros." print("Response:") print(speech) speech += "\nAnything else I can help you with today?" return { "speech": speech, "displayText": speech, #"data": {}, # "contextOut": [], "source": "home" } if __name__ == '__main__': port = int(os.getenv('PORT', 5000)) print "Starting app on port %d" % port app.run(debug=True, port=port, host='0.0.0.0')

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py

Python

dist/assets/code/seance3/8.py

Mistergix/deficode

6460ec3e22d36b67cef6815d9977fba973ab139b

[ "MIT" ]

null

dist/assets/code/seance3/8.py

Mistergix/deficode

6460ec3e22d36b67cef6815d9977fba973ab139b

[ "MIT" ]

10

2018-07-11T22:40:57.000Z

2018-11-24T21:05:14.000Z

dist/assets/code/seance3/8.py

Mistergix/deficode

6460ec3e22d36b67cef6815d9977fba973ab139b

[ "MIT" ]

null

class Chocolatine: def __init__(self): print("je suis mangé!") def nom(self): return "CH0C0LA71N3 !!!!!" cadeau = (Chocolatine(), "Nicolas", "Julian") #déplier un tuple objet, destinataire, expediteur = cadeau #afficher un tuple print(cadeau) #fonction qui mange un objet de type: tuple(objet, destinataire, expediteur) def offrir( truc ): liste_des_trucs_offert = [] objet, destinataire, expediteur = truc print("-> {} offre {} à {}. Le voici dans le return:".format(expediteur, objet.nom(), destinataire)) return objet truc_pour_untel = offrir(cadeau) print(truc_pour_untel) ##exercice avancé## class Chocolatine: def __init__(self): print("je suis mangé!") def nom(self): return "CH0C0LA71N3 !!!!!" cadeau = (Chocolatine, 3, "Nicolas") def offrir2( truc ): liste_des_trucs_offert = [] objet, nombre, destinataire = truc for i in range(nombre): liste_des_trucs_offert.append(objet()) return liste_des_trucs_offert, destinataire truc_pour_untel, untel = offrir2(cadeau) print("j'offre {} {} à {}. les voici:".format(cadeau[1], cadeau[0]().nom(), untel), truc_pour_untel)

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py

Python

lib/datasets/tpod_dataset.py

junjuew/py-faster-rcnn

cee50460078ea9756e03babc598a2fcbd18430b2

[ "BSD-2-Clause" ]

4

2017-01-24T01:02:40.000Z

2020-05-19T02:32:16.000Z

lib/datasets/tpod_dataset.py

junjuew/py-faster-rcnn

cee50460078ea9756e03babc598a2fcbd18430b2

[ "BSD-2-Clause" ]

3

2016-09-04T20:07:31.000Z

2018-03-31T20:25:21.000Z

lib/datasets/tpod_dataset.py

junjuew/py-faster-rcnn

cee50460078ea9756e03babc598a2fcbd18430b2

[ "BSD-2-Clause" ]

2

2017-04-03T02:00:54.000Z

2020-05-14T17:09:57.000Z

# -------------------------------------------------------- # Fast R-CNN # Copyright (c) 2015 Microsoft # Licensed under The MIT License [see LICENSE for details] # Written by Ross Girshick # -------------------------------------------------------- import os, time from datasets.imdb import imdb import datasets.ds_utils as ds_utils import xml.etree.ElementTree as ET import numpy as np import scipy.sparse import scipy.io as sio import utils.cython_bbox import cPickle import subprocess import uuid from tpod_eval import voc_eval from fast_rcnn.config import cfg import pdb ''' Documentation: this class is used as the loader of the data set it should accept one paths: the path for the training data folder, under this folder there are three important files 1. (image_set.txt) the image set (the file containing the list of all image paths) 2. (label_set.txt) the label (the file containing the list of all label contents) 3. (labels.txt) the file containing name of all labels On initialization, we can load all image paths and all labels into array, thus during the training phase, we only need to read the array ''' class tpod(imdb): TPOD_IMDB_NAME='web_demo' def __init__(self, devkit_path): # image_set should be a filename (without extension) in devkit_path that contains# a list of image paths # devkit_path should have an annotation dir, a label text imdb.__init__(self, self.__class__.TPOD_IMDB_NAME) self._year = '2016' if not devkit_path or not os.path.isdir(devkit_path): raise ValueError('Please provide image_set and devkit_path for tpod imdb. The devkit_path should contain ' 'a text file with all labels named "label.txt". devkit_path/image_set.txt should be ' 'a text file that each line is an absolute path to an image\n ' 'Current devkit_path: {}'.format(devkit_path)) self._image_set = 'train' self._devkit_path = devkit_path self._label_path = os.path.join(self._devkit_path, 'labels.txt') self._label_set_path = os.path.join(self._devkit_path, 'label_set.txt') self._image_set_path = os.path.join(self._devkit_path, 'image_set.txt') # load classes names if os.path.isfile(self._label_path): self._classes = self.load_label_classes() else: print 'no label file given, model is single class' # backward compatibility, single class self._classes = ('__background__', # always index 0 'object') self._image_index = self._load_image_set_index() self._annotation_index, self._obj_num_index = self._load_annotations() # Default to roidb handler self._roidb_handler = self.selective_search_roidb self._salt = str(uuid.uuid4()) self._comp_id = time.strftime("%Y%m%d%H%M%S") # PASCAL specific config options self.config = {'cleanup' : True, 'use_salt' : True, 'use_diff' : False, 'matlab_eval' : False, 'rpn_file' : None, 'min_size' : 2} print 'initialized imdb from devkit_path: {}, image_set: {}'.format(self._devkit_path, self._image_set) def load_label_classes(self): f = open(self._label_path, 'r') labels = f.read().splitlines() labels.insert(0, '__background__') print 'custom labels: {}'.format(labels) return labels # need customization def _is_test(self): return False # need customization def _load_image_set_index(self): """ Load the indexes listed in this dataset's image set file. # Example path to image set file: # self._devkit_path + /image_set.txt """ f = open(self._image_set_path, 'r') # at the same time remove the empty space at the beginning and end image_paths = [x.strip().split() for x in f.readlines()] return image_paths def _load_annotations(self): # the basic structure: class is separated by '.' label is separated by ';' coordination is separated by ',' f = open(self._label_set_path, 'r') lines = f.readlines() annotation_set = [] object_num_set = [] for line in lines: obj_num = 0 line_classes = line.split('.') line_annotation = [] for i, line_class in enumerate(line_classes): # there might be extra separation symbol, # we should ignore these more than actual classes if i >= len(self._classes) - 1: break line_label = [] if len(line_class) > 1: labels = line_class.split(';') for label in labels: if len(label) < 1: continue coordination = label.split(',') line_label.append(coordination) obj_num += 1 line_annotation.append(line_label) annotation_set.append(line_annotation) object_num_set.append(obj_num) return annotation_set, object_num_set # need customization def image_path_at(self, i): """ Return the absolute path to image i in the image sequence. """ image_path = '/' + self._image_index[i][-1] assert os.path.exists(image_path), \ 'Path does not exist: {}'.format(image_path) return image_path # need customization def _load_tpod_annotation(self, index): """ Load image and bounding boxes info from XML file in the PASCAL VOC format. """ index = int(index) frame_label = self._annotation_index[index] # we should include the background inside num_objs = self._obj_num_index[index] # print 'load tpod annotation %s num objs %s ' % (str(index), str(num_objs)) boxes = np.zeros((num_objs, 4), dtype=np.uint16) gt_classes = np.zeros((num_objs), dtype=np.int32) overlaps = np.zeros((num_objs, self.num_classes), dtype=np.float32) # "Seg" area for pascal is just the box area seg_areas = np.zeros((num_objs), dtype=np.float32) # n: the number of objects # c: the number of classes # boxes: a n x 4 matrix, the rect for each object, each row is a box, n is the number of objects # gt_classes: ground truth, a n length array, each element is the class index the object # overlaps: a n x c matrix, in each row, if that object appears, set it to be 1 # seg_areas: a n length array, each element is the area size for that object # Load object bounding boxes into a data frame. idx = 0 for i, current_class in enumerate(frame_label): if len(current_class) > 0 and i < self.num_classes: for label in current_class: if len(label) > 0: x1 = float(label[0]) y1 = float(label[1]) w = float(label[2]) h = float(label[3]) x2 = x1 + w y2 = y1 + h # j: class is the last word in an entry separated by white space cls = i + 1 boxes[idx, :] = [x1, y1, x2, y2] gt_classes[idx] = cls overlaps[idx, cls] = 1.0 seg_areas[idx] = w * h idx += 1 overlaps = scipy.sparse.csr_matrix(overlaps) return {'boxes' : boxes, 'gt_classes': gt_classes, 'gt_overlaps' : overlaps, 'flipped' : False, 'seg_areas' : seg_areas} @property def cache_path(self): return self._devkit_path def gt_roidb(self): """ Return the database of ground-truth regions of interest. This function loads/saves from/to a cache file to speed up future calls. """ cache_file = os.path.join(self.cache_path, self.name + '_gt_roidb.pkl') if os.path.exists(cache_file): with open(cache_file, 'rb') as fid: roidb = cPickle.load(fid) print '{} gt roidb loaded from {}'.format(self.name, cache_file) return roidb gt_roidb = [self._load_tpod_annotation(index) for index, path in enumerate(self.image_index)] with open(cache_file, 'wb') as fid: cPickle.dump(gt_roidb, fid, cPickle.HIGHEST_PROTOCOL) print 'wrote gt roidb to {}'.format(cache_file) return gt_roidb def selective_search_roidb(self): """ Return the database of selective search regions of interest. Ground-truth ROIs are also included. This function loads/saves from/to a cache file to speed up future calls. """ cache_file = os.path.join(self.cache_path, self.name + '_selective_search_roidb.pkl') if os.path.exists(cache_file): with open(cache_file, 'rb') as fid: roidb = cPickle.load(fid) print '{} ss roidb loaded from {}'.format(self.name, cache_file) return roidb if not self._is_test(): gt_roidb = self.gt_roidb() ss_roidb = self._load_selective_search_roidb(gt_roidb) roidb = imdb.merge_roidbs(gt_roidb, ss_roidb) else: roidb = self._load_selective_search_roidb(None) with open(cache_file, 'wb') as fid: cPickle.dump(roidb, fid, cPickle.HIGHEST_PROTOCOL) print 'wrote ss roidb to {}'.format(cache_file) return roidb def rpn_roidb(self): print 'rpn_roidb called' if not self._is_test(): gt_roidb = self.gt_roidb() rpn_roidb = self._load_rpn_roidb(gt_roidb) roidb = imdb.merge_roidbs(gt_roidb, rpn_roidb) else: roidb = self._load_rpn_roidb(None) return roidb def _load_rpn_roidb(self, gt_roidb): filename = self.config['rpn_file'] print '_load_rpn_roidb called' print 'loading {}'.format(filename) assert os.path.exists(filename), \ 'rpn data not found at: {}'.format(filename) with open(filename, 'rb') as f: box_list = cPickle.load(f) return self.create_roidb_from_box_list(box_list, gt_roidb) def _load_selective_search_roidb(self, gt_roidb): filename = os.path.abspath(os.path.join(cfg.DATA_DIR, 'selective_search_data', self.name + '.mat')) assert os.path.exists(filename), \ 'Selective search data not found at: {}'.format(filename) raw_data = sio.loadmat(filename)['boxes'].ravel() box_list = [] for i in xrange(raw_data.shape[0]): boxes = raw_data[i][:, (1, 0, 3, 2)] - 1 keep = ds_utils.unique_boxes(boxes) boxes = boxes[keep, :] keep = ds_utils.filter_small_boxes(boxes, self.config['min_size']) boxes = boxes[keep, :] box_list.append(boxes) return self.create_roidb_from_box_list(box_list, gt_roidb) def _get_comp_id(self): return self._comp_id def _get_voc_results_file_template(self, prefix): filename = self._get_comp_id() + '_det_' + self._image_set.replace('/', '_') + '_{:s}.txt' path = os.path.join( prefix, filename) return path def _write_voc_results_file(self, all_boxes, output_dir): for cls_ind, cls in enumerate(self.classes): if cls == '__background__': continue filename = self._get_voc_results_file_template(output_dir).format(cls) print 'Writing {} VOC results file ==> {}'.format(cls, filename) with open(filename, 'wt') as f: for im_ind, index in enumerate(self.image_index): dets = all_boxes[cls_ind][im_ind] if dets == []: continue # the VOCdevkit expects 1-based indices for k in xrange(dets.shape[0]): f.write('{:s} {:.3f} {:.1f} {:.1f} {:.1f} {:.1f}\n'. format(index[0], dets[k, -1], dets[k, 0] + 1, dets[k, 1] + 1, dets[k, 2] + 1, dets[k, 3] + 1)) # need customization def _do_python_eval(self, annopath, output_dir, evaluation_result_name, cachedir=None): '''annopath = '/home/junjuew/object-detection-web/demo-web/train/headphone-model/Annotations/{}.txt' ''' aps = [] # The PASCAL VOC metric changed in 2010 if not os.path.isdir(output_dir): os.mkdir(output_dir) folder_name = '/eval/' + evaluation_result_name if not os.path.exists(folder_name): os.makedirs(folder_name) print 'create result folder: %s ' % str(folder_name) for i, cls in enumerate(self._classes): if cls == '__background__': continue filename = self._get_voc_results_file_template(output_dir).format(cls) image_path_array = self._image_index annotation_path_array = self._annotation_index rec, prec, ap = voc_eval( filename, i, image_path_array, annotation_path_array, cls, cachedir, ovthresh=0.5) aps += [ap] print('AP for {} = {:.4f}'.format(cls, ap)) print('precision for {} = {}'.format(cls, prec)) print('recall for {} = {}'.format(cls, rec)) with open(os.path.join(output_dir, cls + '_pr.pkl'), 'w') as f: cPickle.dump({'rec': rec, 'prec': prec, 'ap': ap}, f) # store the result under the evaluation folder, each class with the class name as the file name file_name = folder_name + '/' + str(cls) + '.pkl' with open(file_name, 'w') as f: cPickle.dump({'rec': rec, 'prec': prec, 'ap': ap}, f) print 'result saved: %s ' % str(file_name) print('Mean AP = {:.4f}'.format(np.mean(aps))) print('~~~~~~~~') print('Results:') for ap in aps: print('{:.3f}'.format(ap)) print('{:.3f}'.format(np.mean(aps))) print('~~~~~~~~') print('') print('--------------------------------------------------------------') print('Results computed with the **unofficial** Python eval code.') print('Results should be very close to the official MATLAB eval code.') print('Recompute with `./tools/reval.py --matlab ...` for your paper.') print('-- Thanks, The Management') print('--------------------------------------------------------------') def _do_matlab_eval(self, output_dir='output'): print '-----------------------------------------------------' print 'Computing results with the official MATLAB eval code.' print '-----------------------------------------------------' path = os.path.join(cfg.ROOT_DIR, 'lib', 'datasets', 'VOCdevkit-matlab-wrapper') cmd = 'cd {} && '.format(path) cmd += '{:s} -nodisplay -nodesktop '.format(cfg.MATLAB) cmd += '-r "dbstop if error; ' cmd += 'voc_eval(\'{:s}\',\'{:s}\',\'{:s}\',\'{:s}\'); quit;"' \ .format(self._devkit_path, self._get_comp_id(), self._image_set, output_dir) print('Running:\n{}'.format(cmd)) status = subprocess.call(cmd, shell=True) def evaluate_detections(self, all_boxes, annopath, output_dir, evaluation_result_name): self._write_voc_results_file(all_boxes, output_dir) self._do_python_eval(annopath, output_dir, evaluation_result_name) if self.config['matlab_eval']: self._do_matlab_eval(output_dir) if self.config['cleanup']: for cls in self._classes: if cls == '__background__': continue filename = self._get_voc_results_file_template(output_dir).format(cls) os.remove(filename) def competition_mode(self, on): if on: self.config['use_salt'] = False self.config['cleanup'] = False else: self.config['use_salt'] = True self.config['cleanup'] = True if __name__ == '__main__': from datasets.tpod import tpod d = tpod('trainval', '') res = d.roidb from IPython import embed; embed()

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null

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null

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1

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1

a484bdd1eb403382f98fb22c6f6ec574c6778758

529

py

Python

octopus/constants.py

Fletch498ma/octopus

f2de0204a92b8cd9424805454212003f037d2984

[ "MIT" ]

12

2015-08-31T22:57:40.000Z

2022-02-07T19:18:09.000Z

octopus/constants.py

Fletch498ma/octopus

f2de0204a92b8cd9424805454212003f037d2984

[ "MIT" ]

8

2017-12-17T18:56:23.000Z

2021-08-23T13:26:16.000Z

octopus/constants.py

Fletch498ma/octopus

f2de0204a92b8cd9424805454212003f037d2984

[ "MIT" ]

10

2015-09-22T23:06:12.000Z

2021-04-06T06:24:06.000Z

# Twisted Imports from twisted.python.constants import ValueConstant, Values class State (Values): READY = ValueConstant("ready") RUNNING = ValueConstant("running") PAUSED = ValueConstant("paused") COMPLETE = ValueConstant("complete") CANCELLED = ValueConstant("cancelled") ERROR = ValueConstant("error") class Event (Values): NEW_EXPERIMENT = ValueConstant("new-expt") EXPERIMENT = ValueConstant("e") INTERFACE = ValueConstant("i") STEP = ValueConstant("s") LOG = ValueConstant("l") TIMEZERO = ValueConstant("z")

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1

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null

0

null

0

1

0

1

a485203eed7da9af1f3d07a900bf441e21f54870

376

py

Python

lang/py/pylib/code/fractions/fractions_limit_denominator.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

13

2020-01-04T07:37:38.000Z

2021-08-31T05:19:58.000Z

lang/py/pylib/code/fractions/fractions_limit_denominator.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

3

2020-06-05T22:42:53.000Z

2020-08-24T07:18:54.000Z

lang/py/pylib/code/fractions/fractions_limit_denominator.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

9

2020-10-19T04:53:06.000Z

2021-08-31T05:20:01.000Z

#!/usr/bin/env python # encoding: utf-8 # # Copyright (c) 2009 Doug Hellmann All rights reserved. # """ """ #end_pymotw_header import fractions import math print 'PI =', math.pi f_pi = fractions.Fraction(str(math.pi)) print 'No limit =', f_pi for i in [ 1, 6, 11, 60, 70, 90, 100 ]: limited = f_pi.limit_denominator(i) print '{0:8} = {1}'.format(i, limited)

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376

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null

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1

0

1

a48a978010878e0af222f955c60047e8c7e7b87e

2,725

py

Python

onnx_model_maker/ops/op_ver_2.py

BernardJiang/onnx-pytorch

d5181b1267f16d540881caec4bdce1103d0630d6

[ "Apache-2.0" ]

66

2021-05-05T08:03:22.000Z

2022-03-10T07:03:02.000Z

onnx_model_maker/ops/op_ver_2.py

BernardJiang/onnx-pytorch

d5181b1267f16d540881caec4bdce1103d0630d6

[ "Apache-2.0" ]

21

2021-05-06T02:56:42.000Z

2021-11-25T03:52:14.000Z

onnx_model_maker/ops/op_ver_2.py

BernardJiang/onnx-pytorch

d5181b1267f16d540881caec4bdce1103d0630d6

[ "Apache-2.0" ]

18

2021-05-05T11:54:09.000Z

2022-03-25T17:42:32.000Z

# Autogenerated by onnx-model-maker. Don't modify it manually. import onnx import onnx.helper import onnx.numpy_helper from onnx_model_maker import omm from onnx_model_maker import onnx_mm_export from onnx_model_maker.ops.op_helper import _add_input @onnx_mm_export("v2.LabelEncoder") def LabelEncoder(X, **kwargs): _inputs = [] for i in (X, ): _add_input(i, _inputs) idx = omm.op_counter["LabelEncoder"] omm.op_counter["LabelEncoder"] += 1 node = onnx.helper.make_node("LabelEncoder", _inputs, [f'_t_LabelEncoder_{idx}_Y'], name=f"LabelEncoder_{idx}", **kwargs) onnx.checker.check_node(node, omm.ctx) omm.model.graph.node.append(node) return node @onnx_mm_export("v2.Split") def Split(input, **kwargs): _inputs = [] for i in (input, ): _add_input(i, _inputs) idx = omm.op_counter["Split"] omm.op_counter["Split"] += 1 node = onnx.helper.make_node("Split", _inputs, [f"_t_Split_{idx}_{i}" for i in range(len(kwargs["split"]))], name=f"Split_{idx}", **kwargs) onnx.checker.check_node(node, omm.ctx) omm.model.graph.node.append(node) return node @onnx_mm_export("v2.Pad") def Pad(data, **kwargs): _inputs = [] for i in (data, ): _add_input(i, _inputs) idx = omm.op_counter["Pad"] omm.op_counter["Pad"] += 1 node = onnx.helper.make_node("Pad", _inputs, [f'_t_Pad_{idx}_output'], name=f"Pad_{idx}", **kwargs) onnx.checker.check_node(node, omm.ctx) omm.model.graph.node.append(node) return node @onnx_mm_export("v2.LpPool") def LpPool(X, **kwargs): _inputs = [] for i in (X, ): _add_input(i, _inputs) idx = omm.op_counter["LpPool"] omm.op_counter["LpPool"] += 1 node = onnx.helper.make_node("LpPool", _inputs, [f'_t_LpPool_{idx}_Y'], name=f"LpPool_{idx}", **kwargs) onnx.checker.check_node(node, omm.ctx) omm.model.graph.node.append(node) return node @onnx_mm_export("v2.GlobalLpPool") def GlobalLpPool(X, **kwargs): _inputs = [] for i in (X, ): _add_input(i, _inputs) idx = omm.op_counter["GlobalLpPool"] omm.op_counter["GlobalLpPool"] += 1 node = onnx.helper.make_node("GlobalLpPool", _inputs, [f'_t_GlobalLpPool_{idx}_Y'], name=f"GlobalLpPool_{idx}", **kwargs) onnx.checker.check_node(node, omm.ctx) omm.model.graph.node.append(node) return node

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2,725

4.248571

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0

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0

null

0

1

0

null

0

1

a48ae7336ee1d7ff7f6b28c9bedae865b8e88589

3,350

py

Python

modules/spotify.py

montarion/athena

ae8bd49786be613acc59e60edc758094bd26e7f4

[ "Unlicense" ]

3

2019-04-10T21:06:02.000Z

2020-04-15T15:46:45.000Z

modules/spotify.py

montarion/athena

ae8bd49786be613acc59e60edc758094bd26e7f4

[ "Unlicense" ]

1

2019-05-21T13:45:35.000Z

modules/spotify.py

montarion/athena

ae8bd49786be613acc59e60edc758094bd26e7f4

[ "Unlicense" ]

2

2019-05-21T13:44:03.000Z

2020-04-15T10:45:11.000Z

from components.logger import Logger import requests class Spotify: def __init__(self, Database=None, Oauth=None, Watcher=None): self.dependencies = {"tier":"user", "dependencies":["Database", "Oauth", "Watcher"]} self.characteristics= ["timed"] self.capabilities = ["music", "spotify", "playback", "podcasts"] self.timing = {"unit": "seconds", "count":10} self.db = Database self.oauth = Oauth self.watcher = Watcher self.logger = Logger("Spotify").logger self.currentsong = "" # do not add init stuff def dostuff(self): data = {"playing": True, "Song":"Good thing", "Artist": "Zedd", "metadata":{"type":"update"}} msg = self.db.messagebuilder("Spotify", "update", data) self.watcher.publish(self, msg) def query(self, query, connectionID = 666): """connectionID is the id of who is asking(starts at 0, database is 999) the query is a dict containing the following keys: "category", "type", "data", "metadata" lets the system ask your module stuff. """ category = query["category"] qtype = query["type"] qdata = query.get("data", None) metadata = query.get("metadata", None) response = {} # TODO: Read out the query # TODO: Use it to write out the response return response def getplaying(self): self.logger("getting token") ac = self.oauth.getaccesstoken() self.logger("Done") baseurl = "https://api.spotify.com/v1/me/player/currently-playing" headers = { 'Accept': 'application/json', 'Content-Type': 'application/json', 'Authorization': f"Bearer {ac}" } params = {'market': 'from_token'} self.logger("firing request") response = requests.get(baseurl, headers=headers, params=params) self.logger("Done") data = {} if len(response.content) > 1: playdata = response.json() item = playdata["item"] name = item["name"] self.logger(f"Currently playing: {name}") duration = item["duration_ms"] progress = playdata["progress_ms"] artists = [x["name"] for x in playdata["item"]["artists"]] playing = bool(playdata["is_playing"]) #self.logger(playdata) if name != self.currentsong: self.currentsong = name data = {"playing":playing, "song": name, "artist": artists, "Progress":progress, "duration":duration} #self.logger(data) msg = self.db.messagebuilder("Spotify", "update", data) self.watcher.publish(self, msg) else: self.logger("nothing is playing") data = {"playing":False} msg = self.db.messagebuilder("Spotify", "update", data) self.watcher.publish(self, msg) self.logger("published") def startrun(self): """Various methods to control spotify playback""" # init stuff.. self.logger = Logger("Spotify").logger self.logger("Startrun") self.datapath = f"data/modules/{self.__class__.__name__.lower()}" #self.dostuff() self.getplaying()

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0.063898

0.014377

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0.103834

0

0.004661

0.295522

3,350

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0

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a495b9287cef3b1495deb0a17f3ccdbbcfee8124

11,838

py

Python

model/run_GRU.py

Liang-Qiu/GRU_Android

5ebab518fb700f49fa181eeff09cc030114d2992

[ "MIT" ]

11

2017-12-04T08:55:22.000Z

2021-06-24T09:21:33.000Z

model/run_GRU.py

Liang-Qiu/GRU_Android

5ebab518fb700f49fa181eeff09cc030114d2992

[ "MIT" ]

1

2017-12-13T11:09:59.000Z

2021-01-21T19:59:00.000Z

model/run_GRU.py

LiangKlausQiu/GRU_Android

5ebab518fb700f49fa181eeff09cc030114d2992

[ "MIT" ]

3

2017-07-21T10:53:52.000Z

2017-10-03T06:24:15.000Z

#copyright 2016 LiangKlausQiu. All Rights Reserved. # # 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. # ============================================================================== from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import time import numpy as np import tensorflow as tf import reader import GRU from tensorflow.python.framework.graph_util import convert_variables_to_constants #import freeze_graph flags = tf.flags logging = tf.logging flags.DEFINE_string( "model", "small", "A type of model. Possible options are: small, medium, large.") flags.DEFINE_string( "data_path", "/home/liangqiu/Documents/GRU_data", "Where the training/test data is stored.") flags.DEFINE_string( "save_path", "/home/liangqiu/Documents/GRU_output", "Model output directory.") #flags.DEFINE_bool( # "use_fp16", False, # "Train using 16-bit floats instead of 32bit floats.") FLAGS = flags.FLAGS #def data_type(): # return tf.float if FLAGS.use_fp16 else tf.float32 def get_config(): if FLAGS.model == "small": return GRU.SmallConfig() elif FLAGS.model == "medium": return GRU.MediumConfig() elif FLAGS.model == "large": return GRU.LargeConfig() elif FLAGS.model == "test": return GRU.TestConfig() else: raise ValueError("Invalid model: %s", FLAGS.model) def run_training(session, model): # train the model on the given data. start_time = time.time() costs = 0.0 iters = 0 fetches = { "cost": model.cost, "train_op": model.train_op } for step in range(model.input.epoch_size): vals = session.run(fetches) cost = vals["cost"] costs += cost iters += model.input.num_steps # if step % (model.input.epoch_size // 10) == 0: # print("%.2f perplexity: %.3f speed: %.0f wps" % # (step * 1.0 /model.input.epoch_size, np.exp(costs / iters), # iters * model.input.batch_size / (time.time() - start_time))) return np.exp(costs / iters) def run_validation(session, model): # train the model on the given data. start_time = time.time() costs = 0.0 iters = 0 for step in range(model.input.epoch_size): cost = session.run(model.cost) costs += cost iters += model.input.num_steps return np.exp(costs / iters) def run_test(session, model, id_to_word=None, test_data=None): # test the model on the given data. start_time = time.time() # costs = 0.0 # iters = 0 fetches = { "result": model.result, # "cost": model.cost } test_feed1 = np.array([[1,3,3,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]], dtype=np.int32) test_feed2 = np.array([[31,32,33,34,35,36,37,38,39,40,0,0,0,0,0,0,0,0,0,0]], dtype=np.int32) len_feed1 = np.array([5], dtype=np.int32) len_feed2 = np.array([10], dtype=np.int32) # print(test_feed1.shape[0]) # print(test_feed1.shape[1]) # print(test_feed1.dtype) test_dict1 = { model.input.input_data: test_feed1, model.input.data_len: len_feed1 } test_dict2 = { model.input.input_data: test_feed2, model.input.data_len: len_feed2 } # for step in range(model.input.epoch_size): print("input_data") print(session.run(model.input.input_data, feed_dict = test_dict1)) print(session.run(model.input.input_data, feed_dict = test_dict2)) # print("data_len") # print(session.run(model.input.data_len, feed_dict = test_dict)) print("inputs") print(session.run(model.inputs, feed_dict = test_dict1)) print(session.run(model.inputs, feed_dict = test_dict2)) print("output") print(session.run(model.output, feed_dict = test_dict1)) print(session.run(model.output, feed_dict = test_dict2)) vals = session.run(fetches, feed_dict=test_dict1) # cost = vals["cost"] result = vals["result"] # costs += cost # iters += model.input.num_steps # print("data_length: %s perplexity: %.3f speed: %.0f wps" % (len(test_data), np.exp(costs / iters), iters * model.input.batch_size / (time.time() - start_time))) print("%.8f" %(result[0, np.argmax(result)])) print(result) print("predicted word: %s" % (id_to_word[np.argmax(result)])) vals = session.run(fetches, feed_dict=test_dict2) result = vals["result"] print("%.8f" %(result[0, np.argmax(result)])) print(result) print("predicted word: %s" % (id_to_word[np.argmax(result)])) # return np.exp(costs / iters) def main(_): if not FLAGS.data_path: raise ValueError("Must set --data_path to data directory") raw_data = reader.ptb_raw_data(FLAGS.data_path) train_data, valid_data, test_data, _, id_to_word = raw_data config = get_config() eval_config = get_config() eval_config.batch_size = 1 # eval_config.num_steps = 4 # checkpoint_prefix = os.path.join(FLAGS.save_path, "saved_checkpoint") # checkpoint_state_name = "checkpoint_state" # input_graph_name = "input_graph.pb" # output_graph_name = "output_graph.pb" g1 = tf.Graph() with g1.as_default(): initializer = tf.random_uniform_initializer(-config.init_scale, config.init_scale) with tf.name_scope("Train"): train_input = GRU.Input(is_testing=False, config=config, data=train_data, name="TrainInput") with tf.variable_scope("Model", reuse = None, initializer=initializer): mtrain = GRU.Model(is_training=True, is_testing=False, config=config, input_=train_input) with tf.name_scope("Valid"): valid_input = GRU.Input(is_testing=False, config=config, data=valid_data, name="ValidInput") with tf.variable_scope("Model", reuse = True, initializer=initializer): mvalid = GRU.Model(is_training=False, is_testing=False, config=config, input_=valid_input) with tf.name_scope("Test"): test_input = GRU.Input(is_testing=True, config=eval_config, data=test_data, name="TestInput") with tf.variable_scope("Model", reuse = True, initializer=initializer): mtest = GRU.Model(is_training=False, is_testing=True, config=eval_config, input_=test_input) sv = tf.train.Supervisor(logdir=FLAGS.save_path) with sv.managed_session() as session: # with tf.Session() as session: for i in range(config.max_max_epoch): lr_decay = config.lr_decay ** max(i + 1 - config.max_epoch, 0.0) mtrain.assign_lr(session, config.learning_rate * lr_decay) # train print("Epoch: %d Learning rate: %.3f" % (i + 1, session.run(mtrain.lr))) train_perplexity = run_training(session, mtrain) print("Epoch: %d Train Perplexity: %.3f" % (i + 1, train_perplexity)) # valid #valid_perplexity = run_validation(session,mvalid) #print("Epoch: %d Valid Perplexity: %.3f" % (i + 1, valid_perplexity)) run_test(session, mtest, id_to_word=id_to_word, test_data=test_data) # print("Test Perplexity: %.3f" % test_perplexity) # for FPGA use # Embedding = session.run(tf.get_default_graph().get_tensor_by_name("Model/embedding:0")) # Cell0_W1 = session.run(tf.get_default_graph().get_tensor_by_name("Model/RNN/MultiRNNCell/Cell0/GRUCell/Gates/Linear/Matrix:0")) # Cell0_B1 = session.run(tf.get_default_graph().get_tensor_by_name("Model/RNN/MultiRNNCell/Cell0/GRUCell/Gates/Linear/Bias:0")) # Cell0_W2 = session.run(tf.get_default_graph().get_tensor_by_name("Model/RNN/MultiRNNCell/Cell0/GRUCell/Candidate/Linear/Matrix:0")) # Cell0_B2 = session.run(tf.get_default_graph().get_tensor_by_name("Model/RNN/MultiRNNCell/Cell0/GRUCell/Candidate/Linear/Bias:0")) # Cell1_W1 = session.run(tf.get_default_graph().get_tensor_by_name("Model/RNN/MultiRNNCell/Cell1/GRUCell/Gates/Linear/Matrix:0")) # Cell1_B1 = session.run(tf.get_default_graph().get_tensor_by_name("Model/RNN/MultiRNNCell/Cell1/GRUCell/Gates/Linear/Bias:0")) # Cell1_W2 = session.run(tf.get_default_graph().get_tensor_by_name("Model/RNN/MultiRNNCell/Cell1/GRUCell/Candidate/Linear/Matrix:0")) # Cell1_B2 = session.run(tf.get_default_graph().get_tensor_by_name("Model/RNN/MultiRNNCell/Cell1/GRUCell/Candidate/Linear/Bias:0")) # softmax_W = session.run(tf.get_default_graph().get_tensor_by_name("Model/softmax_w:0")) # softmax_B = session.run(tf.get_default_graph().get_tensor_by_name("Model/softmax_b:0")) # para_file = open(FLAGS.save_path+"para_file.txt", "w") # para_file.write("# Embedding ") # np.savetxt(para_file, Embedding, fmt='%0.8f',delimiter=',') # para_file.write("# Cell0_W1 ") # np.savetxt(para_file, Cell0_W1, fmt='%0.8f',delimiter=',') # para_file.write("# Cell0_B1 ") # np.savetxt(para_file, Cell0_B1, fmt='%0.8f',delimiter=',') # para_file.write("# Cell0_W2 ") # np.savetxt(para_file, Cell0_W2, fmt='%0.8f',delimiter=',') # para_file.write("# Cell0_B2 ") # np.savetxt(para_file, Cell0_B2, fmt='%0.8f',delimiter=',') # para_file.write("# Cell1_W1 ") # np.savetxt(para_file, Cell1_W1, fmt='%0.8f',delimiter=',') # para_file.write("# Cell1_B1 ") # np.savetxt(para_file, Cell1_B1, fmt='%0.8f',delimiter=',') # para_file.write("# Cell1_W2 ") # np.savetxt(para_file, Cell1_W2, fmt='%0.8f',delimiter=',') # para_file.write("# Cell1_B2 ") # np.savetxt(para_file, Cell1_B2, fmt='%0.8f',delimiter=',') # para_file.write("# softmax_W ") # np.savetxt(para_file, softmax_W, fmt='%0.8f',delimiter=',') # para_file.write("# softmax_B ") # np.savetxt(para_file, softmax_B, fmt='%0.8f',delimiter=',') # para_file.close() if FLAGS.save_path: print("Saving model to %s." % FLAGS.save_path) # sv.saver.save(session, checkpoint_prefix, global_step=0, latest_filename=checkpoint_state_name) # tf.train.write_graph(session.graph.as_graph_def(), FLAGS.save_path, input_graph_name) # input_graph_path = os.path.join(FLAGS.save_path, input_graph_name) # input_saver_def_path = "" # input_binary = False # input_checkpoint_path = checkpoint_prefix + "-0" # output_node_names = "Test/Model/logits" # restore_op_name = "save/restore_all" # filename_tensor_name = "save/Const:0" # output_graph_path = os.path.join(FLAGS.save_path, output_graph_name) # clear_devices = False # freeze_graph.freeze_graph(input_graph_path, input_saver_def_path, # input_binary, input_checkpoint_path, # output_node_names, restore_op_name, # filename_tensor_name, output_graph_path, # clear_devices, None) # for v in tf.trainable_variables(): # vc = tf.constant(v.eval()) # tf.assign(v, vc, "assign_variables") # gru_graph = graph_util.extract_sub_graph(graph_def, ["Test/Model/logits"]) gru_graph = convert_variables_to_constants(session, session.graph_def, ["Test/Model/result"]) tf.train.write_graph(gru_graph, FLAGS.save_path, 'gru_graph.pb', as_text=False) tf.train.write_graph(gru_graph, FLAGS.save_path, "gru_graph.pbtxt", as_text=True) print("write gru_graph") # g2 = tf.Graph() # gru_input = {"Test/TestInput/raw_data": tf.placeholder(tf.int32, shape=20)} # with g2.as_default(): # with tf.Session(graph=g2) as session: # tf.import_graph_def(tmp_graph, return_elements=["Test/Model/result"], name="") # tf.train.write_graph(session.graph_def, FLAGS.save_path, 'gru_graph.pbtxt', as_text=True) if __name__ == "__main__": tf.app.run()

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null

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null

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1

0

1

a4967d174d0a18e78ed6cd486861863e94b773ac

822

py

Python

lib/tagger/exceptions.py

shunf4/pys60v1-pymusic

6bf03e296c7faae67dbe1d59ef563190b56ace5b

[ "MIT" ]

3

2016-08-18T22:10:55.000Z

2022-03-12T15:19:52.000Z

lib/tagger/exceptions.py

shunf4/pys60v1-pymusic

6bf03e296c7faae67dbe1d59ef563190b56ace5b

[ "MIT" ]

null

lib/tagger/exceptions.py

shunf4/pys60v1-pymusic

6bf03e296c7faae67dbe1d59ef563190b56ace5b

[ "MIT" ]

3

2015-04-30T22:35:26.000Z

2019-06-11T13:06:48.000Z

""" Custom Exceptions """ __author__ = "Alastair Tse <alastair@tse.id.au>" __license__ = "BSD" __copyright__ = "Copyright (c) 2004, Alastair Tse" __revision__ = "$Id: exceptions.py,v 1.2 2004/05/04 12:18:21 acnt2 Exp $" class ID3Exception(Exception): """General ID3Exception""" pass class ID3EncodingException(ID3Exception): """Encoding Exception""" pass class ID3VersionMismatchException(ID3Exception): """Version Mismatch problems""" pass class ID3HeaderInvalidException(ID3Exception): """Header is malformed or none existant""" pass class ID3ParameterException(ID3Exception): """Parameters are missing or malformed""" pass class ID3FrameException(ID3Exception): """Frame is malformed or missing""" pass class ID3NotImplementedException(ID3Exception): """This function isn't implemented""" pass

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0.388889

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null

0

null

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1

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1

a4a1341a47418ffee6ba8d4388fa1e153f30467e

714

py

Python

quokka/utils/__init__.py

mutita/FlaskPyCMS

cf87c7f2a55fc2df0be427764819b5df4d375520

[ "MIT" ]

1

2015-11-05T17:33:16.000Z

quokka/utils/__init__.py

laborautonomo/quokka

d6e08f15e8b35ce69ea1f0c9c294d5141f34c53a

[ "MIT" ]

null

quokka/utils/__init__.py

laborautonomo/quokka

d6e08f15e8b35ce69ea1f0c9c294d5141f34c53a

[ "MIT" ]

2

2019-10-06T14:07:43.000Z

2021-07-08T20:27:24.000Z

# -*- coding: utf-8 -*- import logging from speaklater import make_lazy_string from quokka.modules.accounts.models import User logger = logging.getLogger() def lazy_str_setting(key, default=None): from flask import current_app return make_lazy_string( lambda: current_app.config.get(key, default) ) def get_current_user(): from flask.ext.security import current_user try: if not current_user.is_authenticated(): return None except RuntimeError: # Flask-Testing will fail pass try: return User.objects.get(id=current_user.id) except Exception as e: logger.warning("No user found: %s" % e.message) return None

23.8

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714

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false

0.047619

0.238095

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0.52381

0

null

0

null

0

1

0

1

a4a2393b2f74bb225f936fa45e3248350e11173d

377

py

Python

easy/leetcode2.py

ayang818/LeetCode

f15276f550997652b81f456134c0b64bcb61f65c

[ "MIT" ]

1

2019-03-12T04:05:41.000Z

easy/leetcode2.py

ayang818/LeetCode

f15276f550997652b81f456134c0b64bcb61f65c

[ "MIT" ]

null

easy/leetcode2.py

ayang818/LeetCode

f15276f550997652b81f456134c0b64bcb61f65c

[ "MIT" ]

null

class Solution: def reverse(self, x: int) -> int: b = 0 if x < 0: b, x = 1, abs(x) mod, res = 0, 0 while x: #下面两行分离出每一个位，从而完成逆序 x, mod = x // 10, x % 10 res = res * 10 + mod if res > 2147483648: return 0 if b == 1: res = -res return res

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0

0.285714

0

null

0

1

0

null

0

1

a4a51161da395cb642968996bd39887142236598

3,854

py

Python

dataReader/dataset.py

chupengrocky/HackthonClimate

3011c18fd2a3901625064f30e213f16dab4304c3

[ "MIT" ]

null

dataReader/dataset.py

chupengrocky/HackthonClimate

3011c18fd2a3901625064f30e213f16dab4304c3

[ "MIT" ]

null

dataReader/dataset.py

chupengrocky/HackthonClimate

3011c18fd2a3901625064f30e213f16dab4304c3

[ "MIT" ]

null

from torch.utils.data import Dataset import torch import numpy as np from sklearn.preprocessing import StandardScaler, MinMaxScaler, OneHotEncoder import pandas as pd np.random.seed(0) class dataset(Dataset): def __init__(self ,data_frame, model_indx, mode='train'): self.x = None self.y_cls = None self.y_reg = None self.length = None self.data_np = None self.data_frame = data_frame # self.data_np = data_frame.to_numpy(dtype="float32") self.model_indx = model_indx self.mode = mode # Initialize x, y_cls, y_reg self.split_data() def split_data(self): # print("Starting spliting data") # cls_data = self.data_np[self.data_np[:,-1]==self.model_indx] #Filtered by cluster if self.mode in ['train','val']: np_data = self.data_frame[self.data_frame['model_{}'.format(self.model_indx)]==1].to_numpy(dtype="float32") else: np_data = self.data_frame.to_numpy(dtype="float32") sc_x = MinMaxScaler() sc_reg = MinMaxScaler() x_full = np_data[:, 3:11].copy() # coloumn name [number,latitude,longitude,t_winter,t_spring,t_summer,t_fall,p_winter,p_spring,p_summer,p_fall,carb,veg,cluster], shape: (row, 8) y_full = np_data[:, 11:13].copy() # coloumn name: [..... ,carb, veg, cluster], shape:(row, 3) self.centers = np_data[:,1:3] x = x_full.copy() y_reg = y_full[:,0].copy() y_cls = y_full[:,1].copy() x = sc_x.fit_transform(x) y_reg = sc_reg.fit_transform(y_reg.reshape(-1,1)) y_cls -= 1 y_reg = y_reg.reshape(-1) # if self.mode == 'train': # self.x = torch.tensor(x_train, dtype=torch.float32) # self.y_reg = torch.tensor(y_reg_train, dtype=torch.float32) # self.y_cls = torch.tensor(y_cls_train, dtype=torch.float32) # print(self.mode," dataset:", self.x.shape[0], ", positive:", self.y_cls.sum().numpy()) # elif self.mode == 'val': # self.x = torch.tensor(x_val, dtype=torch.float32) # self.y_reg = torch.tensor(y_reg_val, dtype=torch.float32) # self.y_cls = torch.tensor(y_cls_val, dtype=torch.float32) # print(self.mode," dataset:", self.x.shape[0], ", positive:",self.y_cls.sum().numpy()) self.x = torch.tensor(x, dtype=torch.float32) self.y_reg = torch.tensor(y_reg, dtype=torch.float32) self.y_cls = torch.tensor(y_cls, dtype=torch.float32) self.length = len(self.x) def get_cls_label_weight(self): class_counts = [int(len(self.y_cls)-self.y_cls.sum().numpy()),int(self.y_cls.sum().numpy())] class_weights = [len(self.y_cls)/class_counts[i] for i in range(len(np.unique(self.y_cls)))] weights = [class_weights[int(self.y_cls[i].numpy())] for i in range(len(self.y_cls))] # print(weights) return weights def get_cls_weight(self): return (len(self.y_cls)-self.y_cls.sum())/(self.y_cls.sum()) def get_feature_len(self): return self.x.shape[1] def get_x(self): return self.x def get_y_cls(self): return self.y_cls def get_y_reg(self): return self.y_reg def get_location(self): return self.centers def fit_transform(self, data_features, data_carbs, data_vegs): self.params = [np.std(data_features, axis=0, keepdims=True), np.mean(data_features, axis=0, keepdims=True), np.std(data_carbs, axis=0, keepdims=True), np.mean(data_carbs, axis=0, keepdims=True)] return self.transform(data_features, data_carbs, data_vegs) def transform(self, data_features, data_carbs, data_vegs): if self.params is None: raise ValueError('Not fit yet') return (data_features-self.params[1])/self.params[0], (data_carbs-self.params[3])/self.params[2], data_vegs-1 def __getitem__(self,idx): return self.x[idx], self.y_reg[idx], self.y_cls[idx] def __len__(self): return self.length

34.106195

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0.665023

617

3,854

3.930308

0.181524

0.041237

0.059381

0.060619

0.375258

0.303918

0.249485

0.211134

0.158351

0

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3,854

113

195

34.106195

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false

0

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0

null

0

null

0

1

0

1

8ef620d25e139d90023f0be743c33c64d489c6c0

1,810

py

Python

utils/mysqlTools.py

kalenforn/MMVA

1e4ec5417d4497a14f226fab8a66fe065a9f0f65

[ "MIT" ]

4

2021-12-16T08:17:49.000Z

2022-03-12T10:14:50.000Z

utils/mysqlTools.py

kalenforn/video-content-clean

4b6e572ec034fbe2e668c250cff8e1c9a13dd0e0

[ "MIT" ]

null

utils/mysqlTools.py

kalenforn/video-content-clean

4b6e572ec034fbe2e668c250cff8e1c9a13dd0e0

[ "MIT" ]

1

2021-12-14T08:17:41.000Z

import pymysql class MySqlHold: def __init__(self, host: str, user: str, password: str, database: str, port=3306): self.db = pymysql.connect(host=host, user=user, port=port, database=database, password=password) self.cursor = self.db.cursor() def execute_command(self, command: str): self.cursor.execute(command) self.cursor.connection.commit() def fetchall(self): result = self.cursor.fetchall() return result def search(self, table: str, column_name: str, value: str): command = f"select * from {table} where {column_name} like \'{value}\'" self.execute_command(command) return self.fetchall() def close(self): self.cursor.close() self.db.close() def get_one_item(conf, table: str, column_name: str, value: str): mysql = MySqlHold(host=conf.get('mysql', 'host'), user=conf.get('mysql', 'user'), password=conf.get('mysql', 'passwd'), database=conf.get('mysql', 'db'), port=int(conf.get('mysql', 'port'))) result = mysql.search(table=table, column_name=column_name, value=value) mysql.close() return result def get_video_info(conf) -> dict: mysql = MySqlHold(host=conf.get('mysql', 'host'), user=conf.get('mysql', 'user'), password=conf.get('mysql', 'passwd'), database=conf.get('mysql', 'db'), port=int(conf.get('mysql', 'port'))) command = f"select * from {conf.get('mysql', 'video_table')}" mysql.execute_command(command) video_list = mysql.fetchall() result = {} for i, id_, path in video_list: result.update({id_: path}) mysql.close() return result

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null

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1

8efcb07f31cdfd94de1b43df75d06bb21b637b78

1,748

py

Python

lilac/__init__.py

mba811/lilac

ce7a4e19f7f73c07b2e6b4b33fb19b3812e8e131

[ "MIT" ]

1

2019-05-07T15:09:39.000Z

lilac/__init__.py

mba811/lilac

ce7a4e19f7f73c07b2e6b4b33fb19b3812e8e131

[ "MIT" ]

null

lilac/__init__.py

mba811/lilac

ce7a4e19f7f73c07b2e6b4b33fb19b3812e8e131

[ "MIT" ]

null

# coding=utf8 # # OOO$QHHHQ$$$$$$$$$QQQHHHHNHHHNNNNNNNNNNN # OO$$QHHNHQ$$$$$O$$$QQQHHHNNHHHNNNNNNMNNN # $$$QQHHHH$$$OOO$$$$QQQQHHHHHHHNHNNNMNNNN # HHQQQHHH--:!OOO$$$QQQQQQQHHHHHNNNNNNNNNN # NNNHQHQ-;-:-:O$$$$$QQQ$QQQQHHHHNNNNNNNNN # NMNHHQ;-;----:$$$$$$$:::OQHHHHHNNNNHHNNN # NNNHH;;;-----:C$$$$$::----::-::>NNNNNNNN # NNHHQ:;;--:---:$$$$$:::--;;;;;-HNNNNNNNN # HHQQQ:-;-----:--$$$7::-;;;.;.;;HNNMMNNNH # QQQ$Q>-:---:----Q$$!!:;;;...;;QHNMMMNNHH # $$$$$$$:::-:--:!7Q$!:::::;;;;OQHMMMNNHHH # OOO$$$$O:!--:!:-7HQ>:!---.-;7O$HMMMNHHHQ # OOOOOO$OO:::!:!!>N7!7:!-.;:;CC$HMMMNNQQQ # OOOOOOOOOO!::>7C!N>!!C-!7--O?COHMMMNNQQQ # OOOO?7?OOOO!!!!:CH7>7>7--:QC??OC>NMNNHQQ # OOOO?>>>>COO!>?!7H?O>!:::H$:-;---:!ONHHH # OOOO?7>>>>!>?7!>>$O>QOC?N7;;;..;;;;-!NNN # COCC77>>>>!!>7>!>?7C7!>O:;;-.;..-----!MM # OCCC>>>>!!!!7>>O?OOOO>!!;-;-..;.;;;;-:CN # OOCC!!!!!!!>>!>7COCC$C7>->-;:;.;;;;;;-:M # CCOO7::!!!!!!!!CCOOC$?7::-;-:;;;;-----:7 # OOOQH!-!!!!!!!>C7$OC7?!:-;!;-----;---::O # CO$QNN7:!>!!!!!!>?CC$7C!!?CC?CO$$7---->N # CO$QHNNNO7>!!>O?C??!7C>!---7CO$QOOQHHHHN # OO$HHNNNNNNNNNNCCO?!!!------7$QQOO$QQQQH # O$QHHNNMNNNNNNNQO$C!!!:----::QQ$OCOQQ$QQ # $QHQHHNMMMMNNNNQQ$C>!::------QQ$OCO$$$$$ # QHHHHNNMMNHHHHHQQQQQ7!!:-----?Q$$OO$$$O$ # HHQQHHNNH$$$$$$QQHHHH$>!:--::7QQ$OOO$OOO # $$$QQQHQ$OCO$O$QQ$QQQ$$C!::::$HQ$OOO$OOO # OOO$$QQ$OCCOOOOQO$$$$$OC>!!:?HHQ$OO$$OOO # OCCO$Q$$OOO77>>7CO$$OOOOOCQQHQQQ$$O$$$$O # # lilac - a static blog generator. # https://github.com/hit9/lilac # nz2324 AT 126.com """global vars""" version = "0.3.9" charset = "utf8" # utf8 read and write everywhere src_ext = ".md" # source filename extension out_ext = ".html" # output filename extension src_dir = "src" # source directory, './src' out_dir = "." # output directory, './'

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null

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f100d09d5dd0ea20c9825e6a6951cbbe2a921a4d

4,351

py

Python

kensu/client/models/field_def.py

vidma/kensu-py

aae1e04373f03c988d55772fde6563de3ca9f375

[ "Apache-2.0" ]

16

2021-04-28T13:22:41.000Z

2022-03-02T10:45:19.000Z

kensu/client/models/field_def.py

vidma/kensu-py

aae1e04373f03c988d55772fde6563de3ca9f375

[ "Apache-2.0" ]

12

2021-05-17T08:06:42.000Z

2022-02-28T22:43:04.000Z

kensu/client/models/field_def.py

vidma/kensu-py

aae1e04373f03c988d55772fde6563de3ca9f375

[ "Apache-2.0" ]

5

2021-04-27T15:02:16.000Z

2021-10-15T16:07:21.000Z

# coding: utf-8 """ No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: beta Generated by: https://github.com/swagger-api/swagger-codegen.git """ from pprint import pformat from six import iteritems class FieldDef(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'name': 'str', 'field_type': 'str', 'nullable': 'bool' } attribute_map = { 'name': 'name', 'field_type': 'fieldType', 'nullable': 'nullable' } def __init__(self, name=None, field_type=None, nullable=None): """ FieldDef - a model defined in Swagger """ self._name = None self._field_type = None self._nullable = None self.name = name self.field_type = field_type self.nullable = nullable @property def name(self): """ Gets the name of this FieldDef. :return: The name of this FieldDef. :rtype: str """ return self._name @name.setter def name(self, name): """ Sets the name of this FieldDef. :param name: The name of this FieldDef. :type: str """ if name is None: raise ValueError("Invalid value for `name`, must not be `None`") self._name = name @property def field_type(self): """ Gets the field_type of this FieldDef. :return: The field_type of this FieldDef. :rtype: str """ return self._field_type @field_type.setter def field_type(self, field_type): """ Sets the field_type of this FieldDef. :param field_type: The field_type of this FieldDef. :type: str """ if field_type is None: raise ValueError("Invalid value for `field_type`, must not be `None`") self._field_type = field_type @property def nullable(self): """ Gets the nullable of this FieldDef. :return: The nullable of this FieldDef. :rtype: bool """ return self._nullable @nullable.setter def nullable(self, nullable): """ Sets the nullable of this FieldDef. :param nullable: The nullable of this FieldDef. :type: bool """ if nullable is None: raise ValueError("Invalid value for `nullable`, must not be `None`") self._nullable = nullable def to_dict(self): """ Returns the model properties as a dict """ result = {} for attr, _ in iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """ Returns the string representation of the model """ return pformat(self.to_dict()) def __repr__(self): """ For `print` and `pprint` """ return self.to_str() def __eq__(self, other): """ Returns true if both objects are equal """ if not isinstance(other, FieldDef): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """ Returns true if both objects are not equal """ return not self == other

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f10416747a1ff8f4a4affe6681c94660775c7e00

5,472

py

Python

nominations/migrations/0001_initial.py

ewjoachim/pythondotorg

382741cc6208fc56aa827cdd1da41983fb7e6ba8

[ "Apache-2.0" ]

911

2015-01-03T22:16:06.000Z

2022-03-31T23:56:22.000Z

nominations/migrations/0001_initial.py

ewjoachim/pythondotorg

382741cc6208fc56aa827cdd1da41983fb7e6ba8

[ "Apache-2.0" ]

1,342

2015-01-02T16:14:45.000Z

2022-03-28T08:01:20.000Z

nominations/migrations/0001_initial.py

ewjoachim/pythondotorg

382741cc6208fc56aa827cdd1da41983fb7e6ba8

[ "Apache-2.0" ]

551

2015-01-04T02:17:31.000Z

2022-03-23T11:59:25.000Z

# Generated by Django 2.0.9 on 2019-03-18 20:21 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import markupfield.fields class Migration(migrations.Migration): initial = True dependencies = [migrations.swappable_dependency(settings.AUTH_USER_MODEL)] operations = [ migrations.CreateModel( name="Election", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("name", models.CharField(max_length=100)), ("date", models.DateField()), ("nominations_open_at", models.DateTimeField(blank=True, null=True)), ("nominations_close_at", models.DateTimeField(blank=True, null=True)), ("slug", models.SlugField(blank=True, max_length=255, null=True)), ], options={"ordering": ["-date"]}, ), migrations.CreateModel( name="Nomination", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("name", models.CharField(max_length=1024, null=True)), ("email", models.CharField(max_length=1024, null=True)), ( "previous_board_service", models.CharField(max_length=1024, null=True), ), ("employer", models.CharField(max_length=1024, null=True)), ( "other_affiliations", models.CharField(blank=True, max_length=2048, null=True), ), ( "nomination_statement", markupfield.fields.MarkupField(null=True, rendered_field=True), ), ( "nomination_statement_markup_type", models.CharField( choices=[ ("", "--"), ("html", "HTML"), ("plain", "Plain"), ("markdown", "Markdown"), ("restructuredtext", "Restructured Text"), ], default="markdown", editable=False, max_length=30, ), ), ( "_nomination_statement_rendered", models.TextField(editable=False, null=True), ), ("accepted", models.BooleanField(default=False)), ("approved", models.BooleanField(default=False)), ( "election", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to="nominations.Election", ), ), ( "nominator", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="nominations_made", to=settings.AUTH_USER_MODEL, ), ), ], ), migrations.CreateModel( name="Nominee", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("accepted", models.BooleanField(default=False)), ("approved", models.BooleanField(default=False)), ("slug", models.SlugField(blank=True, max_length=255, null=True)), ( "election", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="nominees", to="nominations.Election", ), ), ( "user", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name="nominations_recieved", to=settings.AUTH_USER_MODEL, ), ), ], ), migrations.AddField( model_name="nomination", name="nominee", field=models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name="nominations", to="nominations.Nominee", ), ), migrations.AlterUniqueTogether( name="nominee", unique_together={("user", "election")} ), ]

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f10b49aaee68e7293e9a1314d7972c5caea9edb2

750

py

Python

neighbor/migrations/0002_auto_20210412_2210.py

LewisNjagi/neighborhood

cbefac55b930999629dba202a784a096799949a4

[ "MIT" ]

null

neighbor/migrations/0002_auto_20210412_2210.py

LewisNjagi/neighborhood

cbefac55b930999629dba202a784a096799949a4

[ "MIT" ]

null

neighbor/migrations/0002_auto_20210412_2210.py

LewisNjagi/neighborhood

cbefac55b930999629dba202a784a096799949a4

[ "MIT" ]

2

2021-04-14T05:56:06.000Z

2021-04-15T14:20:02.000Z

# Generated by Django 3.2 on 2021-04-12 22:10 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('neighbor', '0001_initial'), ] operations = [ migrations.AlterField( model_name='business', name='neighborhood', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='business', to='neighbor.neighborhood'), ), migrations.AlterField( model_name='business', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='owner', to='neighbor.profile'), ), ]

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f10c79f2e66be2d31bb61e574317d2eef21da993

4,068

py

Python

pylps/core.py

astraldawn/pylps

e9964a24bb38657b180d441223b4cdb9e1dadc8a

[ "MIT" ]

1

2018-05-19T18:28:12.000Z

pylps/core.py

astraldawn/pylps

e9964a24bb38657b180d441223b4cdb9e1dadc8a

[ "MIT" ]

12

2018-04-26T00:58:11.000Z

2018-05-13T22:03:39.000Z

pylps/core.py

astraldawn/pylps

e9964a24bb38657b180d441223b4cdb9e1dadc8a

[ "MIT" ]

null

from pylps.constants import * from pylps.config import CONFIG from pylps.kb import KB from pylps.engine import ENGINE from pylps.lps_objects import GoalClause, Observation, ReactiveRule import pylps.creator as creator ''' Declarations ''' def create_actions(*args, return_obj=False): ret = creator.create_objects(args, ACTION, return_obj) if return_obj: return ret def create_events(*args, return_obj=False): ret = creator.create_objects(args, EVENT, return_obj) if return_obj: return ret def create_facts(*args, return_obj=False): ret = creator.create_objects(args, FACT, return_obj) if return_obj: return ret def create_fluents(*args, return_obj=False): ret = creator.create_objects(args, FLUENT, return_obj) if return_obj: return ret def create_variables(*args, return_obj=False): ret = creator.create_objects(args, VARIABLE, return_obj) if return_obj: return ret def initially(*args): KB.initial_fluents.extend(args) def observe(obs): # TODO: Make observations iterable? obs = Observation(obs, obs.start_time, obs.end_time) KB.add_observation(obs) def reactive_rule(*args): new_rule = ReactiveRule(args) KB.add_rule(new_rule) return new_rule def event(*args): new_clause = GoalClause(args) KB.add_clause(new_clause) return new_clause def goal(*args): new_clause = GoalClause(args) KB.add_clause(new_clause) return new_clause def false_if(*args): converted = [] for arg in args: if isinstance(arg, tuple): converted.append(arg) else: converted.append((arg, True)) KB.add_constraint(converted) ''' Core loop ''' def initialise(max_time=5, create_vars=True): # Must call create object directly due to stack issues if create_vars: creator.create_objects( ['T', 'T1', 'T2', 'T3', 'T4', 'T5'], VARIABLE) creator.create_objects(['_'], VARIABLE) ENGINE.set_params(max_time=max_time) def execute( n_solutions=CONFIG_DEFAULT_N_SOLUTIONS, single_clause=False, solution_preference=SOLN_PREF_FIRST, debug=False, experimental=True, strategy=STRATEGY_GREEDY, stepwise=False, obs=OBS_BEFORE ): '''Execute pyLPS program Keyword arguments: n_solutions -- the number of solutions, use -1 for all solutions (default 1) single_clause -- only consider the first clause for an event (default true) solutions_preference -- the type of solution to favour (defaults to first) ''' if solution_preference is SOLN_PREF_MAX: # If we want maximum solutions, override n_solutions if it is default if n_solutions == CONFIG_DEFAULT_N_SOLUTIONS: n_solutions = -1 # All solutions if -1 if n_solutions == -1: n_solutions = 10000000 options_dict = { 'n_solutions': n_solutions, 'obs': obs, 'single_clause': single_clause, 'solution_preference': solution_preference, # Development 'debug': debug, 'experimental': experimental, 'strategy': strategy, } # Resets CONFIG.reactive_id = 0 KB.reset_kb() # Initially # for fluent in KB.initial_fluents: # KB.add_fluent(fluent) # KB.log_fluent(fluent, 0, F_INITIATE) CONFIG.set_options(options_dict) ENGINE.run(stepwise=stepwise) def execute_next_step(): ENGINE.next_step() ''' Utility ''' def show_kb_causalities(): return KB.show_causalities() def show_kb_clauses(): return KB.show_clauses() def show_kb_constraints(): return KB.show_constraints() def show_kb_facts(): return KB.show_facts() def show_kb_fluents(): return KB.show_fluents() def show_kb_log(show_events=False): return KB.show_log(show_events=show_events) def show_kb_rules(): return KB.show_reactive_rules() def kb_display_log(show_events=False, print_log=False): KB.show_log(show_events=show_events, print_log=False) return KB.display_log

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null

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null

0

1

0

1

f10f9d27421300b1fdd0a309643ad08a50750df9

1,323

py

Python

tests/test_k2.py

LanzLagman/chronos

3c7e32e7bd8ed85d442ce3ecbf4c9a5272e8e470

[ "MIT" ]

null

tests/test_k2.py

LanzLagman/chronos

3c7e32e7bd8ed85d442ce3ecbf4c9a5272e8e470

[ "MIT" ]

null

tests/test_k2.py

LanzLagman/chronos

3c7e32e7bd8ed85d442ce3ecbf4c9a5272e8e470

[ "MIT" ]

null

# -*- coding: utf-8 -*- import pandas as pd import lightkurve as lk from chronos.k2 import K2, Everest, K2sff EPICID = 211916756 # k2-95 CAMPAIGN = 5 # or 18 def test_k2_attributes(): """ """ # test inherited attributes s = K2(epicid=EPICID, campaign=CAMPAIGN) assert s.epicid is not None assert s.target_coord is not None gaia_params = s.query_gaia_dr2_catalog(return_nearest_xmatch=True) assert isinstance(gaia_params, pd.Series) tic_params = s.query_tic_catalog(return_nearest_xmatch=True) assert isinstance(tic_params, pd.Series) def test_k2_lc_pipeline(): s = K2(epicid=EPICID, campaign=CAMPAIGN) s.get_lc("sap") assert isinstance(s.lc_sap, lk.LightCurve) s.get_lc("pdcsap") assert isinstance(s.lc_pdcsap, lk.LightCurve) # def test_k2_lc_custom(): # s = K2(epicid=EPICID, campaign=CAMPAIGN) # sap = s.make_custom_lc() def test_k2_tpf(): s = K2(epicid=EPICID, campaign=CAMPAIGN) tpf = s.get_tpf() assert isinstance(tpf, lk.targetpixelfile.TargetPixelFile) def test_everest(): """ """ s = Everest(epicid=EPICID, campaign=CAMPAIGN) assert isinstance(s.lc_everest, lk.LightCurve) def test_k2sff(): """ """ s = K2sff(epicid=EPICID, campaign=CAMPAIGN) assert isinstance(s.lc_k2sff, lk.LightCurve)

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0.275862

0

null

0

1

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null

0

1

f11004b8b2440fc97ec0e3b374da4a63264ff26e

388

py

Python

ch22-直方图/22.3.4.hsv_hist-绘制2D直方图.py

makelove/OpenCV-Python-Tutorial

e428d648f7aa50d6a0fb4f4d0fb1bd1a600fef41

[ "MIT" ]

2,875

2016-10-21T01:33:22.000Z

2022-03-30T12:15:28.000Z

ch22-直方图/22.3.4.hsv_hist-绘制2D直方图.py

makelove/OpenCV-Python-Tutorial

e428d648f7aa50d6a0fb4f4d0fb1bd1a600fef41

[ "MIT" ]

12

2017-07-18T14:24:27.000Z

2021-07-04T10:32:25.000Z

ch22-直方图/22.3.4.hsv_hist-绘制2D直方图.py

makelove/OpenCV-Python-Tutorial

e428d648f7aa50d6a0fb4f4d0fb1bd1a600fef41

[ "MIT" ]

1,066

2017-03-11T01:43:28.000Z

2022-03-29T14:52:41.000Z

# -*-coding:utf8-*-# __author__ = 'play4fun' """ create time:15-11-8 下午4:44 绘制2D直方图 """ import cv2 import numpy as np from matplotlib import pyplot as plt img = cv2.imread('../data/home.jpg') # cv2.imshow("src", img) hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) hist = cv2.calcHist([hsv], [0, 1], None, [180, 256], [0, 180, 0, 256]) plt.imshow(hist, interpolation='nearest') plt.show()

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f11b98c4cbad0c6ce3b3cacf5a4c884e14ed54bb

363

py

Python

blog/migrations/0002_auto_20190719_0620.py

Sedherthe/Dj-Blog

43d24e2a3654ba080da0be233d2e6f51c9baf4d4

[ "MIT" ]

null

blog/migrations/0002_auto_20190719_0620.py

Sedherthe/Dj-Blog

43d24e2a3654ba080da0be233d2e6f51c9baf4d4

[ "MIT" ]

null

blog/migrations/0002_auto_20190719_0620.py

Sedherthe/Dj-Blog

43d24e2a3654ba080da0be233d2e6f51c9baf4d4

[ "MIT" ]

null

# Generated by Django 2.1.4 on 2019-07-19 00:50 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('blog', '0001_initial'), ] operations = [ migrations.RenameField( model_name='post', old_name='data_published', new_name='date_published', ), ]

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null

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f12352df10226259fd2f7adb00c402a851d5ea01

839

py

Python

python/magic-8-ball.py

CindyMullins/intro-to-open-source

6099f28b30c62ee6362ae67f31d2d665ae2a6326

[ "MIT" ]

16

2017-08-20T06:08:53.000Z

2021-02-18T03:41:28.000Z

python/magic-8-ball.py

CindyMullins/intro-to-open-source

6099f28b30c62ee6362ae67f31d2d665ae2a6326

[ "MIT" ]

19

2017-08-19T05:32:30.000Z

2021-03-26T18:40:19.000Z

python/magic-8-ball.py

CindyMullins/intro-to-open-source

6099f28b30c62ee6362ae67f31d2d665ae2a6326

[ "MIT" ]

44

2017-08-19T05:09:13.000Z

2021-07-28T13:39:33.000Z

import random import time responses = ["Not so sure", "Shitty", "Great", "Absolutely not", "Outlook is good", "I see good things happening", "Never", "Negative", "Could be", "Unclear, ask again", "Yes definitely", "No, Idon't think so"] ## Following function asks user question, then returns random results from responses def answerQuery(): print("Let me dig deep into the waters of life, and find your answer") time.sleep(2) print("Hmmm") time.sleep(2) print(random.choice(responses)) print("\n") ## Following asks user if they would like to play again, and loops until user is finished query = 'Would you like to ask the Wise One a question? Y/N: ' response = raw_input(query) print response while response.lower() == 'y': answerQuery() response = raw_input(query) else: print 'quitting' exit()

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f124c20b1fe8e78ebe894a5b161358d7754b3437

584

py

Python

DJangoHotel/viewspackage/roomInfoView.py

chuangkee/mygithub

a3742d45002de55378987eea551776a3168acc17

[ "MIT" ]

null

DJangoHotel/viewspackage/roomInfoView.py

chuangkee/mygithub

a3742d45002de55378987eea551776a3168acc17

[ "MIT" ]

null

DJangoHotel/viewspackage/roomInfoView.py

chuangkee/mygithub

a3742d45002de55378987eea551776a3168acc17

[ "MIT" ]

null

# -*- coding: utf-8 -*- from django.shortcuts import render from qiniuyun.backend import QiniuPush from qiniuyun.models import ImageAtQiniu from .indexView import ImgList from DJangoHotel.models import RoomInfo def roomInfo(request): rooms=RoomInfo.objects.all() imgObjs=ImageAtQiniu.objects.all() imgUrls=[QiniuPush.private_download_url(i.fullname) for i in imgObjs] imgs=ImgList() for i in imgUrls: if 'hotel-logo' in i: imgs.logo=i return render(request,'roominfo.html',{'roomInfoList':rooms,'img':imgs})

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null

0

1

0

1

f12913ad1c3dbc3a14c703a151bdf8159fa5b1c5

1,176

py

Python

punica/cli/box_cmd.py

PunicaSuite/punica-python

dfcd50de4452454b96d0c252c2db994e3bad38c0

[ "MIT" ]

6

2018-11-01T23:39:32.000Z

2020-03-25T13:39:46.000Z

punica/cli/box_cmd.py

PunicaSuite/punica-python

dfcd50de4452454b96d0c252c2db994e3bad38c0

[ "MIT" ]

3

2018-10-26T12:53:16.000Z

2019-06-21T13:22:56.000Z

punica/cli/box_cmd.py

PunicaSuite/punica-python

dfcd50de4452454b96d0c252c2db994e3bad38c0

[ "MIT" ]

7

2018-10-11T07:03:10.000Z

2019-06-26T02:38:58.000Z

import webbrowser from ontology.exception.exception import SDKException from click import ( argument, pass_context ) from .main import main from punica.box.repo_box import Box from punica.utils.output import echo_cli_exception from punica.exception.punica_exception import PunicaException @main.command('unbox') @argument('box_name', nargs=1) @pass_context def unbox_cmd(ctx, box_name): """ Download a Punica Box, a pre-built Punica project. """ box = Box(ctx.obj['PROJECT_DIR']) try: box.unbox(box_name) except (PunicaException, SDKException) as e: echo_cli_exception(e) @main.command('init') @pass_context def init_cmd(ctx): """ Initialize new and empty Ontology project. """ box = Box(ctx.obj['PROJECT_DIR']) try: box.init_box() except (PunicaException, SDKException) as e: echo_cli_exception(e) @main.command('boxes') @pass_context def boxes_cmd(ctx): """ List all available punica box. """ box = Box(ctx.obj['PROJECT_DIR']) try: box.list_boxes() except (PunicaException, SDKException): webbrowser.open('https://punica.ont.io/boxes/')

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1

f1363e56bdfc412112127936e4e7fe72aeef181e

10,827

py

Python

python/project_kine/kine.py

OthmanEmpire/misc_code

4d487db518167b62969ad65abaffbc9e01777d91

[ "MIT" ]

null

python/project_kine/kine.py

OthmanEmpire/misc_code

4d487db518167b62969ad65abaffbc9e01777d91

[ "MIT" ]

null

python/project_kine/kine.py

OthmanEmpire/misc_code

4d487db518167b62969ad65abaffbc9e01777d91

[ "MIT" ]

null

################################################################################ # Author: Othman Alikhan # # Year Initiated: 2012 # # # # An AI designed to answer a specific branch of questions on Yahoo Answers # # --Kinematics of constant acceleration bodies # ################################################################################ # TODO: include GUI interface # Project modules import res # Python Standard modules import time as time import sys as sys import io as io import unittest as unittest import urllib.request #TODO: Is using "as" actually good practice? import re as re from unittest.mock import patch as patch # The main UI for navigation in KINE class Terminal: ### NO CONSTRUCTOR IMPLIES? def printWelcome(self): """ Prints the startup welcome message. """ print(res.TERMINAL_MSG_PRINT_WELCOME_1) def promptUserForKineCode(self): """ Prompts the user to enter a password to continue further on. """ kineCode = input(res.TERMINAL_MSG_PROMPT_USER_FOR_KINE_CODE_1) return kineCode def verifyKineCode(self, kineCode): """ Verifies whether the startup password should be as it is. Returns a boolean indicating so. """ if(kineCode == res.TERMINAL_MSG_VERIFY_KINE_CODE_1): print(res.TERMINAL_MSG_VERIFY_KINE_CODE_2) return True else: print(res.TERMINAL_MSG_VERIFY_KINE_CODE_3) for i in range(3): print(res.TERMINAL_MSG_VERIFY_KINE_CODE_4, end='') time.sleep(1) print('\n') for i in range(6): time.sleep(0.8) print(res.TERMINAL_MSG_VERIFY_KINE_CODE_5) print(res.TERMINAL_MSG_VERIFY_KINE_CODE_6) time.sleep(2) print(res.TERMINAL_MSG_VERIFY_KINE_CODE_7) time.sleep(1) return False def printMainMenu(self): """ Prints the main menu in the Kine Terminal, indicating the choices the user can make. """ print(res.TERMINAL_MSG_PRINT_MAIN_MENU_1) def promptUserForMainMenuChoice(self): """ Prompts the user to enter a choice for main menu. """ choice = input(res.TERMINAL_MSG_PROMPT_USER_FOR_MAIN_MENU_CHOICE_1) return choice # TODO: Eventually add all the print menu choices def getProblemClass(self, choice): """ Returns the print menu function for the given choice. """ choiceToPrintMenuDict = {"A": InclinedPlane, "B": NotImplementedError, "C": NotImplementedError, "D": NotImplementedError, "E": NotImplementedError} return choiceToPrintMenuDict[choice] def run(self): """ Runs the Kine terminal which starts the program """ self.printWelcome() isCorrectPassword = self.verifyKineCode(self.promptUserForKineCode()) if not isCorrectPassword: sys.exit() self.printMainMenu() problemChosen = self.promptUserForMainMenuChoice() self.getProblemClass(problemChosen) # A type of physics problem that KINE can solve class InclinedPlane: def printMenu(self): """ prints the main menu which displays two choices. """ print(res.INCLINEDPLANE_MSG_PRINT_MENU_1) def promptUserForMainMenuChoice(self): """ Prompts the user to enter a choice for main menu. """ choice = input(res.INCLINEDPLANE_MSG_PROMPT_USER_FOR_MAIN_MENU_CHOICE_1) return choice def getChoice(self, choice): """ Returns the print menu function for the given choice. """ choiceToPath = {"A": self.fetchQuestionFromInternet, "B": NotImplementedError, "C": NotImplementedError} return choiceToPath[choice] def fetchQuestionFromInternet(self): """ Fetches a a potential inclined plane question from Yahoo Answers to be analyzed thereafter. """ try: url = "http://www.yahoo.com" values = {"s": "basic", "submit": "search"} data = urllib.parse.urlencode(values) data = data.encode("utf-8") req = urllib.request.Request(url, data) resp = urllib.request.urlopen(req) respData = resp.read() # print(respData) paragraphs = re.findall(r"<p(.*?)</p>", str(respData)) for p in paragraphs: print(p) except: raise Exception("GG") # def calculateCorrelationCoefficient(self): # """ # Calculates how closely the question resembles an inclined plane physics # problem. # """ # pass # All the unit tests carried out on the Terminal object class TerminalTestCase(unittest.TestCase): def setUp(self): """ Creates a new Terminal object prior to each test run. """ self.terminal = Terminal() @patch("sys.stdout", new=io.StringIO()) def testPrintWelcome(self): """ Checks the printed output of the printWelcome method against a literal string. """ self.terminal.printWelcome() self.assertEqual(sys.stdout.getvalue().rstrip(), res.TERMINAL_MSG_PRINT_WELCOME_1.rstrip()) @patch("builtins.input", return_value="Feeding") def testPromptUserForMainMenuChoice(self, mockInputtedKineCode): """ Checks whether inputted password is actually the returned password by testing it against a literal string. """ self.assertEqual(self.terminal.promptUserForKineCode(), "Feeding") @patch("time.sleep") # removes the sleep delay to speed up testing def testVerifyKineCode(self, mockSleepDelay): """ Checks whether the kineCode password is indeed what it seem to be by testing it against two samples--one correct and the other one incorrect. """ truePassword = res.TERMINAL_MSG_VERIFY_KINE_CODE_1 trueCase = self.terminal.verifyKineCode(truePassword) self.assertTrue(trueCase, msg="Apparently, {} is not the password. " "The real password should be: {}" .format(truePassword, res.TERMINAL_MSG_VERIFY_KINE_CODE_1)) falsePassword = "YogHurt" falseCase = self.terminal.verifyKineCode(falsePassword) self.assertFalse(falseCase, msg="Apparently, {} is the password. " "The real password should be: {}" .format(falsePassword, res.TERMINAL_MSG_VERIFY_KINE_CODE_1)) @patch("sys.stdout", new=io.StringIO()) def testPrintMainMenu(self): """ Checks the printed output of the printMainMenu method against a literal string. """ self.terminal.printMainMenu() self.assertEqual(sys.stdout.getvalue().rstrip(), res.TERMINAL_MSG_PRINT_MAIN_MENU_1.rstrip()) @patch("builtins.input", return_value="GG") def testPromptUserForChoice(self, mockInputtedChoice): """ Checks whether inputted choice for the main menu is actually the returned choice by testing it against a literal string. """ self.assertEqual(self.terminal.promptUserForMainMenuChoice(), "GG") def testGetProblemClass(self): """ Checks whether the getProblemClass method returns the correct class of problem by testing it against a valid and invalid key choice. """ invalidChoice = "QQ" self.assertRaises(KeyError, self.terminal.getProblemClass, invalidChoice) validChoice = "A" self.assertEqual(InclinedPlane, self.terminal.getProblemClass(validChoice)) # All the unit tests carried out on the InclinedPlane object class InclinedPlaneTestCase(unittest.TestCase): def setUp(self): """ Creates a new InclinedPlane object prior to each test run """ self.inclinedPlane = InclinedPlane() @patch("sys.stdout", new=io.StringIO()) def testPrintMenu(self): """ Checks the printed output of printMenu method against a literal string. """ self.inclinedPlane.printMenu() self.assertEqual(sys.stdout.getvalue().rstrip(), res.INCLINEDPLANE_MSG_PRINT_MENU_1.rstrip()) @patch("builtins.input", return_value="Feeding") def testPromptUserForMainMenuChoice(self, mockInputtedKineCode): """ Checks whether inputted choice is actually the returned choice by testing it against a literal string. """ self.assertEqual(self.inclinedPlane.promptUserForMainMenuChoice(), "Feeding") def testGetChoice(self): """ Checks whether the getChoice method returns the correct activity by testing it against a valid and invalid key choice. """ invalidChoice = "QQ" self.assertRaises(KeyError, self.inclinedPlane.getChoice, invalidChoice) validChoice = "A" self.assertEqual(self.inclinedPlane.fetchQuestionFromInternet, self.inclinedPlane.getChoice(validChoice)) # The integration test carried out on the Terminal object class TerminalIntegrationTest(unittest.TestCase): def setUp(self): """ Creates a Terminal object that is used as the basis of testing """ self.terminal = Terminal() @patch("builtins.input", return_value="Feeding") @patch("time.sleep") # removes the sleep delay to speed up testing def testRunWithFalseKineCode(self, mockInputtedKineCode, mockSleepDelay): """ Executes the run method while supplying an incorrect KineCode after the welcome menu. The expected outcome should be a boot from Kine. """ self.assertRaises(SystemExit, self.terminal.run) # Runs all the test cases @patch("sys.stdout", new=io.StringIO()) def main(): unittest.main(verbosity=0) if __name__ == "__main__": InclinedPlane().fetchQuestionFromInternet() main()

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1

f140c7545f7a24cc77e25acf7054d41c00c1c115

518

py

Python

setup.py

madhav-datt/seeyourmail

0fa1d312dbd8b091b41c92d4bcc26590705c1b97

[ "MIT" ]

1

2016-08-13T07:07:30.000Z

setup.py

madhav-datt/seeyourmail

0fa1d312dbd8b091b41c92d4bcc26590705c1b97

[ "MIT" ]

null

setup.py

madhav-datt/seeyourmail

0fa1d312dbd8b091b41c92d4bcc26590705c1b97

[ "MIT" ]

null

from distutils.core import setup setup( name='seeyourmail', packages=['seeyourmail'], version='1.0', description='seeyourmail makes retrieving and checking your email in programs as simple as can be', author='Madhav Datt', author_email='madhav.datt@hotmail.com', url='https://github.com/madhav-datt/seeyourmail', download_url='https://github.com/madhav-datt/seeyourmail/tarball/1.0', keywords=['email', 'receive', 'receive mail', 'automatic', 'attachment'], classifiers=[], )

32.375

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null

0

null

0

1

0

1

f1440fd46e2a7fc12bee012f62a878da9039092a

517

py

Python

history/migrations/0005_auto_20190411_2258.py

hereischen/Goliath

2305048537f892febde6610b4cd108d3fb1b895a

[ "BSD-3-Clause" ]

5

2019-05-08T00:50:25.000Z

2021-11-24T07:33:10.000Z

history/migrations/0005_auto_20190411_2258.py

hereischen/Goliath

2305048537f892febde6610b4cd108d3fb1b895a

[ "BSD-3-Clause" ]

12

2019-12-02T00:05:06.000Z

2022-01-13T01:04:35.000Z

history/migrations/0005_auto_20190411_2258.py

hereischen/Goliath

2305048537f892febde6610b4cd108d3fb1b895a

[ "BSD-3-Clause" ]

1

2019-01-08T17:43:41.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.18 on 2019-04-11 22:58 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('history', '0004_history_prev_quantity'), ] operations = [ migrations.AlterField( model_name='history', name='prev_quantity', field=models.PositiveIntegerField(default=0, verbose_name='\u539f\u5e93\u5b58\u6570\u91cf'), ), ]

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null

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null

0

1

f148a0878c8fb132c93c5a6ed444cf5362a2ef2f

558

py

Python

server/huTools/couch.py

jeffjia/Send2Cloud

4900c0a85ba9ea817bf34f0b5356580c2c3117c3

[ "Apache-2.0" ]

1

2018-03-01T13:12:46.000Z

server/huTools/couch.py

jeffjia/Send2Cloud

4900c0a85ba9ea817bf34f0b5356580c2c3117c3

[ "Apache-2.0" ]

null

server/huTools/couch.py

jeffjia/Send2Cloud

4900c0a85ba9ea817bf34f0b5356580c2c3117c3

[ "Apache-2.0" ]

null

#!/usr/bin/env python # encoding: utf-8 """ couch.py Created by Christian Klein on 2010-02-26. Copyright (c) 2010 HUDORA GmbH. All rights reserved. """ import couchdb.client import warnings def setup_couchdb(servername, database): """Get a connection handler to the CouchDB Database, creating it when needed.""" warnings.warn("hutools.couch is deprecated", DeprecationWarning, stacklevel=2) server = couchdb.client.Server(servername) if database in server: return server[database] else: return server.create(database)

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null

0

null

0

1

0

1

f14921b446dc5a23fa822e2572f00ead72c3441d

1,931

py

Python

app/mixins.py

valentinDruzhinin/todo-lists

b517137437d5480d1aaec0451f060e1556bf3d8f

[ "MIT" ]

null

app/mixins.py

valentinDruzhinin/todo-lists

b517137437d5480d1aaec0451f060e1556bf3d8f

[ "MIT" ]

null

app/mixins.py

valentinDruzhinin/todo-lists

b517137437d5480d1aaec0451f060e1556bf3d8f

[ "MIT" ]

null

import json from bson import ObjectId from pymongo import ReturnDocument from .exceptions import DBException class DBActionsMixin: def __init__(self, model, db): self._model_cls = model self._db = db def add(self, item): db_obj = self._collection.insert_one(item.prepare_for_db()) model = self._model_cls(id=str(db_obj.inserted_id)) return self.query(**model.db_key()).pop() def query(self, **query_params): return [ self._model_cls.from_db_object(db_obj) for db_obj in self._collection.find(query_params) ] def remove(self, todo_item): db_obj = self._collection.find_one_and_delete(todo_item.db_key()) if db_obj: return self._model_cls.from_db_object(db_obj) raise DBException(f'Unable to remove. Object with id={todo_item.id} is absent.') def update(self, old_todo_item, new_todo_item): if not self.query(**old_todo_item.db_key()): raise DBException(f'Unable to update. Object with id={old_todo_item.id} is absent.') db_obj = self._collection.find_one_and_update( old_todo_item.db_key(), {'$set': new_todo_item.prepare_for_db(with_empty_fields=False)}, return_document=ReturnDocument.AFTER ) return self._model_cls.from_db_object(db_obj) class ToDBModelMixin: def prepare_for_db(self, with_empty_fields=True): obj = vars(self) del obj['id'] filter_func = lambda x: True if with_empty_fields else lambda x: x obj = {key: str(value) for key, value in obj.items() if filter_func(value)} return obj def db_key(self): return {'_id': ObjectId(self.id)} class ModelSerializeMixin: def __str__(self): return json.dumps(self) class ModelContentMixin: @property def is_empty(self): return not bool([v for v in vars(self).values() if v])

31.655738

100

0.663905

278

1,931

4.305755

0.273381

0.037594

0.050125

0.047619

0.25731

0.136174

0.087719

0

0.235111

1,931

60

101

32.183333

0.810427

0

0.043478

0

0.066805

0.010875

0

1

0.195652

false

0

0.086957

0.543478

0

null

0

null

0

1

0

1

f149870ce5099dc14c5ea591f5e0b61107cd647f

276

py

Python

demo.py

re-treat/DialoFlow

b7b729ddf5d146ee201c987f3a44894ad24938ce

[ "MIT" ]

null

demo.py

re-treat/DialoFlow

b7b729ddf5d146ee201c987f3a44894ad24938ce

[ "MIT" ]

null

demo.py

re-treat/DialoFlow

b7b729ddf5d146ee201c987f3a44894ad24938ce

[ "MIT" ]

null

from generate import * history = [] while True: new_sentence = input('>> User: ').replace('\n','') history.append(new_sentence) resps = get_responses(history[-5:],mode='sample') best_resp = resps[0] print(">> Bot:",best_resp) history.append(best_resp)

27.6

54

0.644928

35

276

4.914286

0.685714

0.139535

0

0.008772

0.173913

276

10

55

27.6

0.745614

0

1

0

0.086643

0

1

0

false

0

0.111111

0

0.111111

0

null

0

1

0

null

0

1

f14ca1f87eb014f04eefe6485b3e9dd32f417cfa

6,308

py

Python

pysnmp-with-texts/ZYXEL-L3-IP-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

8

2019-05-09T17:04:00.000Z

2021-06-09T06:50:51.000Z

pysnmp-with-texts/ZYXEL-L3-IP-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

4

2019-05-31T16:42:59.000Z

2020-01-31T21:57:17.000Z

pysnmp-with-texts/ZYXEL-L3-IP-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module ZYXEL-L3-IP-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZYXEL-L3-IP-MIB # Produced by pysmi-0.3.4 at Wed May 1 15:50:32 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") SingleValueConstraint, ValueRangeConstraint, ConstraintsUnion, ConstraintsIntersection, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ValueRangeConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueSizeConstraint") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") iso, Counter64, NotificationType, MibScalar, MibTable, MibTableRow, MibTableColumn, Bits, Counter32, MibIdentifier, Gauge32, TimeTicks, ObjectIdentity, IpAddress, Integer32, ModuleIdentity, Unsigned32 = mibBuilder.importSymbols("SNMPv2-SMI", "iso", "Counter64", "NotificationType", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Bits", "Counter32", "MibIdentifier", "Gauge32", "TimeTicks", "ObjectIdentity", "IpAddress", "Integer32", "ModuleIdentity", "Unsigned32") TextualConvention, RowStatus, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "RowStatus", "DisplayString") esMgmt, = mibBuilder.importSymbols("ZYXEL-ES-SMI", "esMgmt") zyxelL3Ip = ModuleIdentity((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40)) if mibBuilder.loadTexts: zyxelL3Ip.setLastUpdated('201207010000Z') if mibBuilder.loadTexts: zyxelL3Ip.setOrganization('Enterprise Solution ZyXEL') if mibBuilder.loadTexts: zyxelL3Ip.setContactInfo('') if mibBuilder.loadTexts: zyxelL3Ip.setDescription('The subtree for layer 3 switch ip address') zyxelLayer3IpSetup = MibIdentifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40, 1)) zyLayer3IpDnsIpAddress = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40, 1, 1), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: zyLayer3IpDnsIpAddress.setStatus('current') if mibBuilder.loadTexts: zyLayer3IpDnsIpAddress.setDescription('Enter a domain name server IP address in order to be able to use a domain name instead of an IP address.') zyLayer3IpDefaultMgmt = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("inBand", 0), ("outOfBand", 1)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: zyLayer3IpDefaultMgmt.setStatus('current') if mibBuilder.loadTexts: zyLayer3IpDefaultMgmt.setDescription('Specify which traffic flow (In-Band or Out-of-band) the switch is to send packets originating from it or packets with unknown source.') zyLayer3IpDefaultGateway = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40, 1, 3), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: zyLayer3IpDefaultGateway.setStatus('current') if mibBuilder.loadTexts: zyLayer3IpDefaultGateway.setDescription('IP address of the default outgoing gateway.') zyLayer3IpInbandMaxNumberOfInterfaces = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyLayer3IpInbandMaxNumberOfInterfaces.setStatus('current') if mibBuilder.loadTexts: zyLayer3IpInbandMaxNumberOfInterfaces.setDescription('The maximum number of in-band IP that can be created.') zyxelLayer3IpInbandTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40, 1, 5), ) if mibBuilder.loadTexts: zyxelLayer3IpInbandTable.setStatus('current') if mibBuilder.loadTexts: zyxelLayer3IpInbandTable.setDescription('The table contains layer3 IP in-band configuration.') zyxelLayer3IpInbandEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40, 1, 5, 1), ).setIndexNames((0, "ZYXEL-L3-IP-MIB", "zyLayer3IpInbandIpAddress"), (0, "ZYXEL-L3-IP-MIB", "zyLayer3IpInbandMask")) if mibBuilder.loadTexts: zyxelLayer3IpInbandEntry.setStatus('current') if mibBuilder.loadTexts: zyxelLayer3IpInbandEntry.setDescription('An entry contains layer3 IP in-band configuration.') zyLayer3IpInbandIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40, 1, 5, 1, 1), IpAddress()) if mibBuilder.loadTexts: zyLayer3IpInbandIpAddress.setStatus('current') if mibBuilder.loadTexts: zyLayer3IpInbandIpAddress.setDescription('Enter the IP address of your switch in dotted decimal notation, for example, 192.168.1.1. This is the IP address of the Switch in an IP routing domain.') zyLayer3IpInbandMask = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40, 1, 5, 1, 2), IpAddress()) if mibBuilder.loadTexts: zyLayer3IpInbandMask.setStatus('current') if mibBuilder.loadTexts: zyLayer3IpInbandMask.setDescription('Enter the IP subnet mask of an IP routing domain in dotted decimal notation, for example, 255.255.255.0.') zyLayer3IpInbandVid = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40, 1, 5, 1, 3), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: zyLayer3IpInbandVid.setStatus('current') if mibBuilder.loadTexts: zyLayer3IpInbandVid.setDescription('Enter the VLAN identification number to which an IP routing domain belongs.') zyLayer3IpInbandRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 40, 1, 5, 1, 4), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: zyLayer3IpInbandRowStatus.setStatus('current') if mibBuilder.loadTexts: zyLayer3IpInbandRowStatus.setDescription('This object allows entries to be created and deleted from the in-band IP table.') mibBuilder.exportSymbols("ZYXEL-L3-IP-MIB", zyLayer3IpInbandVid=zyLayer3IpInbandVid, PYSNMP_MODULE_ID=zyxelL3Ip, zyxelLayer3IpSetup=zyxelLayer3IpSetup, zyxelL3Ip=zyxelL3Ip, zyLayer3IpDnsIpAddress=zyLayer3IpDnsIpAddress, zyLayer3IpInbandIpAddress=zyLayer3IpInbandIpAddress, zyLayer3IpDefaultGateway=zyLayer3IpDefaultGateway, zyLayer3IpInbandMaxNumberOfInterfaces=zyLayer3IpInbandMaxNumberOfInterfaces, zyxelLayer3IpInbandTable=zyxelLayer3IpInbandTable, zyLayer3IpDefaultMgmt=zyLayer3IpDefaultMgmt, zyLayer3IpInbandRowStatus=zyLayer3IpInbandRowStatus, zyxelLayer3IpInbandEntry=zyxelLayer3IpInbandEntry, zyLayer3IpInbandMask=zyLayer3IpInbandMask)

121.307692

643

0.789474

724

6,308

6.875691

0.270718

0.057855

0.101245

0.009642

0.310566

0.174367

0.126557

0

0.067988

0.088301

6,308

51

644

123.686275

0.7976

0.051363

0

0.090909

0.270795

0.011548

0

1

0

false

0

0.159091

0

0.159091

0

null

0

1

0

null

0

1

f15f43daea5e4b5fe8d0b408d0ba74de358571e1

491

py

Python

beyondtheadmin/clients/migrations/0014_auto_20210825_0854.py

gfavre/invoice-manager

2a1db22edd51b461c090282c6fc1f290f3265379

[ "MIT" ]

1

2021-11-27T06:40:34.000Z

beyondtheadmin/clients/migrations/0014_auto_20210825_0854.py

gfavre/invoice-manager

2a1db22edd51b461c090282c6fc1f290f3265379

[ "MIT" ]

2

2021-05-13T04:50:50.000Z

2022-02-28T21:06:24.000Z

beyondtheadmin/clients/migrations/0014_auto_20210825_0854.py

gfavre/invoice-manager

2a1db22edd51b461c090282c6fc1f290f3265379

[ "MIT" ]

null

# Generated by Django 3.1.7 on 2021-08-25 06:54 from django.db import migrations import django_countries.fields class Migration(migrations.Migration): dependencies = [ ('clients', '0013_auto_20210821_1503'), ] operations = [ migrations.AlterField( model_name='client', name='country', field=django_countries.fields.CountryField(blank=True, default='CH', max_length=2, null=True, verbose_name='Country'), ), ]

23.380952

130

0.645621

56

491

5.517857

0.767857

0.097087

0.135922

0

0.085562

0.238289

491

20

131

24.55

0.740642

0.09165

0

1

0

0.117117

0.051802

0

1

0

false

0

0.153846

0

0.384615

0

null

0

1

0

null

0

1

f1624fc7acc4aea1db82d1a5689c7c3fa486c42f

1,681

py

Python

essaie_snippet/test_find_planet.py

Vahen/millenium_falcon_challenge

1cc2493ae1f4a95b0bb7332bb877035a7070657d

[ "MIT" ]

null

essaie_snippet/test_find_planet.py

Vahen/millenium_falcon_challenge

1cc2493ae1f4a95b0bb7332bb877035a7070657d

[ "MIT" ]

null

essaie_snippet/test_find_planet.py

Vahen/millenium_falcon_challenge

1cc2493ae1f4a95b0bb7332bb877035a7070657d

[ "MIT" ]

null

##planets = [ ## { ## "planet": "Tatooine", ## "visited": False, ## "reachable": ["Dagobah", "Hoth"] ## }, ## { ## "planet": "Dagobah", ## "visited": False, ## "reachable": ["Hoth", "Endor"] ## }, ## { ## "planet": "Endor", ## "visited": False, ## "reachable": [] ## }, ## { ## "planet": "Hoth", ## "visited": False, ## "reachable": ["Endor"] ## }, ##] ## ##def build_reachables(planets, reachables): ## reachable_planets = [] ## for planet in planets: ## if planet["planet"] in reachables: ## reachable_planets.append(planet) ## return reachable_planets ## ##def explore_all_routes(planets, current_planet,trajectory): ## current_planet["visited"] = True ## print(current_planet) ## trajectory.append(current_planet) ## reachables = current_planet["reachable"] ## reachables_list = build_reachables(planets,reachables) ## for voisin in reachables_list: ## if not voisin["visited"]: ## explore_all_routes(planets, voisin, trajectory) ## ## ## ##for planet in planets: ## trajectory = [] ## if not planet["visited"]: ## explore_all_routes(planets, planet, trajectory) ## planets[planet] mylist =[{'trajectory': ['Tatooine', 'Hoth', 'Endor'], 'total_time': 7, 'caught_proba': 0.19}, {'trajectory': ['Tatooine', 'Hoth', 'Endor'], 'total_time': 7, 'caught_proba': 0.18}, {'trajectory': ['Tatooine', 'Hoth', 'Endor'], 'total_time': 7, 'caught_proba': 0} ] def take_caught_proba(elem): return elem["caught_proba"] mylist.sort(key=take_caught_proba) print(mylist[0])

28.491525

94

0.568709

161

1,681

5.757764

0.248447

0.071197

0.090615

0.074434

0.223301

0.158576

0

0.008507

0.230815

1,681

58

95

28.982759

0.70843

0.673409

0

0.349451

0

1

0.125

false

0

0.125

0.25

0.125

0

null

0

null

0

1

0

1

f16280252c9840cdee510267af09c4d7567873a5

261

py

Python

thehardway/exts/ext10.py

abos5/pythontutor

eba451700def8bd98d74668d1b6cc08c0ccc0d3c

[ "MIT" ]

null

thehardway/exts/ext10.py

abos5/pythontutor

eba451700def8bd98d74668d1b6cc08c0ccc0d3c

[ "MIT" ]

null

thehardway/exts/ext10.py

abos5/pythontutor

eba451700def8bd98d74668d1b6cc08c0ccc0d3c

[ "MIT" ]

null

tabby_cat = "\tI'm tabbed in" persian_cat = "I'm split\non a line." backslash_cat = "I'm \\ a \\ cat." fat_cat = """ I'll do a list: \t\t* Cat food. \t* Fishes. \t\t\t* Catnip\n\t* Grass """ print tabby_cat print persian_cat print backslash_cat print fat_cat

16.3125

37

0.666667

52

261

3.192308

0.461538

0.072289

0.060241

0

0.168582

261

15

38

17.4

0.764977

0

0.471264

0

null

0

null

0.307692

0

null

0

null

0

1

0

1

f1633f649d0f1c1a41f819eb66c27318389d52d9

3,591

py

Python

relational/populate-maria/populate-maria.py

eduardolfalcao/bigdata-unifacisa

a725fafd88c9508a717d7b0979dac9770dee6905

[ "Apache-2.0" ]

1

2020-11-02T18:44:46.000Z

relational/populate-maria/populate-maria.py

eduardolfalcao/bigdata-unifacisa

a725fafd88c9508a717d7b0979dac9770dee6905

[ "Apache-2.0" ]

null

relational/populate-maria/populate-maria.py

eduardolfalcao/bigdata-unifacisa

a725fafd88c9508a717d7b0979dac9770dee6905

[ "Apache-2.0" ]

1

2021-09-15T01:42:35.000Z

#!/usr/bin/python3 import mysql.connector from mysql.connector import Error from mysql.connector import errorcode from os import environ import json DB_HOST = environ.get('DB_HOST') DB_NAME = environ.get('DB_NAME') DB_USER = environ.get('DB_USER') DB_PASSWORD = environ.get('DB_PASSWORD') if DB_PASSWORD is not None: print('###################################') print('These are the environment variables: DB_HOST='+DB_HOST+', DB_NAME='+DB_NAME+', DB_USER='+DB_USER+', DB_PASSWORD='+DB_PASSWORD) print('###################################') else: print('###################################') print('No environment variable appeared!') print('###################################') def add_people_count(request_data): #print('Add people count called!') #print('Request' + str(request_data)) insert_query = """INSERT INTO PeopleCount (value, collector_id, timestamp) VALUES (%s, %s, %s)""" val = (request_data['value'],request_data['collector_id'],str(request_data['timestamp'])) run_insert_query(insert_query, val, 'PeopleCount') return run_insert_query(insert_query, val, 'PeopleCount') def add_people_recognized(request_data): name_ids = [] print('Request data (json): '+str(request_data['value'])) for name in request_data['value']: #print(name) name_ids.append(add_people(name)) recog_id = add_recognized(request_data) res = [] for name_id in name_ids: insert_query = """INSERT IGNORE INTO PeopleRecognized (id_recognized, id_people) VALUES (%s, %s)""" val = (recog_id, name_id) res.append(run_insert_query(insert_query, val, 'PeopleRecognized')) return json.dumps(res) def add_people(name): insert_query = """INSERT IGNORE INTO People (name) VALUES (%s)""" val = (name,) return run_insert_query(insert_query, val, 'People')[1] #returns id def add_recognized(request_data): insert_query = """INSERT INTO Recognized (collector_id, timestamp) VALUES (%s, %s)""" val = (request_data['collector_id'],str(request_data['timestamp'])) return run_insert_query(insert_query, val, 'Recognized')[1] #returns id def get_database_connection(): return mysql.connector.connect(host=DB_HOST, database=DB_NAME, user=DB_USER, password=DB_PASSWORD) def run_insert_query(query, values, table_name): connection = get_database_connection() res = '' id = None try: cursor = connection.cursor() cursor.execute(query, values) connection.commit() id = cursor.lastrowid if id is not None: res += 'Record with id('+str(id)+') inserted successfully into '+table_name+' table' else: res += str(cursor.rowcount) + ' Record inserted successfully into '+table_name+' table' #print(res) cursor.close() except mysql.connector.Error as error: res += "Failed to insert record into table {}".format(error) print(res) finally: if connection.is_connected(): connection.close() return (res,id) request_data_pc = dict() request_data_pr = dict() for i in range(10000): request_data_pc['value'] = i request_data_pc['collector_id'] = 'iot_dev_id_'+str(i) request_data_pc['timestamp'] = i add_people_count(request_data_pc) request_data_pr['value'] = ['andrey','eduardo','fabio'] request_data_pr['collector_id'] = 'iot_dev_id_'+str(i) request_data_pr['timestamp'] = i add_people_recognized(request_data_pr) print("Entry "+str(i)+" inserted!")

37.40625

137

0.644946

456

3,591

4.826754

0.217105

0.114948

0.069514

0.045434

0.325307

0.242617

0.140845

0.071786

0.030895

0

0.002743

0.187691

3,591

95

138

37.8

0.7518

0.038151

0

0.077922

0

0.265158

0.040615

0

1

0.077922

false

0.051948

0.064935

0.012987

0.220779

0.116883

0

null

0

null

0

1

0

1

f165dc6651485b189667c7065cc6cc8aee155840

432

py

Python

ABC/abc101-abc150/abc117/c.py

KATO-Hiro/AtCoder

cbbdb18e95110b604728a54aed83a6ed6b993fde

[ "CC0-1.0" ]

2

2020-06-12T09:54:23.000Z

2021-05-04T01:34:07.000Z

ABC/abc101-abc150/abc117/c.py

KATO-Hiro/AtCoder

cbbdb18e95110b604728a54aed83a6ed6b993fde

[ "CC0-1.0" ]

961

2020-06-23T07:26:22.000Z

2022-03-31T21:34:52.000Z

ABC/abc101-abc150/abc117/c.py

KATO-Hiro/AtCoder

cbbdb18e95110b604728a54aed83a6ed6b993fde

[ "CC0-1.0" ]

null

# -*- coding: utf-8 -*- def main(): n, m = map(int, input().split()) xs = sorted(list(map(int, input().split()))) if n >= m: print(0) else: ans = xs[-1] - xs[0] diff = [0 for _ in range(m - 1)] for i in range(m - 1): diff[i] = xs[i + 1] - xs[i] print(ans - sum(sorted(diff, reverse=True)[:n - 1])) if __name__ == '__main__': main()

19.636364

61

0.428241

62

432

2.83871

0.467742

0.022727

0.125

0.181818

0

0.033088

0.37037

432

21

62

20.571429

0.613971

0.048611

0

0.020619

0

1

0.076923

false

0

0.076923

0.153846

0

null

0

1

0

null

0

1

f16971b36b3a751347c35eb371dce2fda69c3718

9,071

py

Python

mount_point_checker.py

light-bringer/mount-point-verifier

883a1391e3d79b25444efc4351aaa9dc9828c002

[ "MIT" ]

null

mount_point_checker.py

light-bringer/mount-point-verifier

883a1391e3d79b25444efc4351aaa9dc9828c002

[ "MIT" ]

null

mount_point_checker.py

light-bringer/mount-point-verifier

883a1391e3d79b25444efc4351aaa9dc9828c002

[ "MIT" ]

null

#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ PROGRAM : mount_point_checker.py PyVersion : Python 2.7 This module takes multiple mount paths and compares them after backup The module has 2 modes : Backup (-b) and Verify (-v) Input Params : -m <mount_points> All the mount point data that need to be backed up, can be multiple, in that case please use multiple -m params -b pre-backup data status backup, gives back an unique string, save the same -p post-backup data status backup, gives back an unique string, save the same -v "unique_input_id1,unique_id_2" provided after backups (Pre and Post) with no space in between. Pass -v/-b/-p one at a time Example : ## Pre - backup : python mount_point_checker.py -b -m "/path/to/mount1" -m "/path/to/mount2" ## Post - backup : python mount_point_checker.py -p -m "/path/to/mount1" -m "/path/to/mount2" ## To verify : python mount_point_checker.py -v "pre_migration_key,post_migration_key" """ import os import uuid import datetime import argparse import pickle import hashlib import sys import Mount __BACKUPDIR = '/home/lightbringer/Desktop' __BACKUPFILEPATH = 'backup.txt' def read_dir(path): ''' read a Directory and get all files and their full paths input : directory path output : list(full filepaths) file prefix paths ''' fullfilepaths = [os.path.join(d, x) for d, dirs, files in os.walk(path) for x in files] return fullfilepaths, os.path.commonprefix(fullfilepaths) def relative_paths(full_filepaths, common_prefix): ''' read fullfilepaths and get all relative filepaths input : fullpaths, common_prefix_path output : list(relative_filepaths) ''' relative_paths = [os.path.relpath(path, common_prefix) for path in full_filepaths] return relative_paths def get_filesizes(full_filepaths, common_prefix): ''' get file sizes for each and every element and return the same as a directory. input : list(full_filepath), common_prefix_path return : dict({'relative_path': 'file_size'}) ''' fileinfodict = {} for path in full_filepaths: relative_path = os.path.relpath(path, common_prefix) fileinfodict[relative_path] = os.stat(path).st_size return fileinfodict def compare(SrcObj, DestObj): ''' Compare two different objects for comparing backup and current input : two Data() objects output : Boolean <True/False> ''' for key in SrcObj.get_mountdata().keys(): try: if len(DestObj.get_mountdata()[key].gen_dict()['allfiles']) == len(SrcObj.get_mountdata()[key].gen_dict()['allfiles']): if DestObj.get_mountdata()[key].gen_dict()['relative'] == SrcObj.get_mountdata()[key].gen_dict()['relative']: if DestObj.get_mountdata()[key].gen_dict()['filesizes'] == SrcObj.get_mountdata()[key].gen_dict()['filesizes']: return True else: return False except KeyError as e: print e return False def find_mount_point(path): path = os.path.abspath(path) while not os.path.ismount(path): path = os.path.dirname(path) return path def check_write_permission(srcdir): ''' Copy file permissions from src file to dest file ''' try: if os.path.isdir(srcdir): return os.access(srcdir, os.W_OK) else: print "Error: Not a valid directory, do not have write permission" exit(-1) except Exception as e: print e exit(-100) def main(args): ''' the holy grail main () ''' mountlist = [] for mounts in list(args.mount_paths): # remove all trailing slashes from path mountlist.append(mounts.rstrip(os.sep)) pre_migration = args.b post_migration = args.p verify = args.uuid currentMount = Mount.MountData(mountlist) if pre_migration is True: backupdir = os.path.join(__BACKUPDIR, 'pre_migration') if os.path.exists(backupdir): pass else: os.makedirs(backupdir) print " ----- Pre Migration Mode ------ " if check_write_permission(backupdir) is False: print " ===== Backup Path is not writeable =====" print " ***** ERROR ***** " exit(-1) else: unique_id = uuid.uuid4().hex backupfile = os.path.join(backupdir, unique_id) os.makedirs(backupfile) backupfile = os.path.join(backupfile, __BACKUPFILEPATH) with open(backupfile, 'wb+') as output: pickle.dump(currentMount, output) print "Backup taken!!" print "Please save this unique token for pre-migration: %s"%(unique_id) exit(0) elif post_migration is True: backupdir = os.path.join(__BACKUPDIR, 'post_migration') if os.path.exists(backupdir): pass else: os.makedirs(backupdir) print " ----- Post Migration Mode ------ " if check_write_permission(backupdir) is False: print " ===== Backup Path is not writeable =====" print " ***** ERROR ***** " exit(-1) else: unique_id = uuid.uuid4().hex backupfile = os.path.join(backupdir, unique_id) os.makedirs(backupfile) backupfile = os.path.join(backupfile, __BACKUPFILEPATH) with open(backupfile, 'wb+') as output: pickle.dump(currentMount, output) print "Backup taken!!" print "Please save this unique token for post-migration : %s"%(unique_id) exit(0) elif bool(verify) is True: uuidstrings = args.uuid uuids = uuidstrings.split(',') if(len(uuids)!=2): print "Give only two unique keys, STRICTLY!" exit(-1) pre_migrate_uuid, post_migrate_uuid = uuids[0], uuids[1] pre_backupdir = backupdir = os.path.join(__BACKUPDIR, 'pre_migration') post_backupdir = os.path.join(__BACKUPDIR, 'post_migration') backed_up_data_path_pre = os.path.join(pre_backupdir, pre_migrate_uuid) backed_up_data_path_pre = os.path.join(backed_up_data_path_pre, __BACKUPFILEPATH) backed_up_data_path_post = os.path.join(post_backupdir, post_migrate_uuid) backed_up_data_path_post = os.path.join(backed_up_data_path_post, __BACKUPFILEPATH) preBackupMount, postBackupMount = None, None with open(backed_up_data_path_pre, 'rb') as input: preBackupMount = pickle.load(input) with open(backed_up_data_path_post, 'rb') as input: postBackupMount = pickle.load(input) if compare(preBackupMount, postBackupMount): print " *** Consistent data *** " exit(0) else: print " *** Inconsistent Data *** " return(100) return if __name__ == '__main__': helpstr = """ PROGRAM : mount_point_checker.py PyVersion : Python 2.7 This module takes multiple mount paths and compares them after backup The module has 2 modes : Backup (-b) and Verify (-v) Input Params : -m <mount_points> All the mount point data that need to be backed up, can be multiple, in that case please use multiple -m params -b pre-backup data status backup, gives back an unique string, save the same -p post-backup data status backup, gives back an unique string, save the same -v "unique_input_id1,unique_id_2" provided after backups (Pre and Post) with no space in between. Pass -v/-b/-p one at a time Example : ## Pre - backup : python mount_point_checker.py -b -m "/path/to/mount1" -m "/path/to/mount2" ## Post - backup : python mount_point_checker.py -p -m "/path/to/mount1" -m "/path/to/mount2" ## To verify : python mount_point_checker.py -v "pre_migration_key,post_migration_key" """ Parser = argparse.ArgumentParser() Parser.add_argument('-m', dest='mount_paths', help=helpstr, default=[], type=str, action='append') Parser.add_argument('-b', action='store_true') Parser.add_argument('-p', action='store_true') Parser.add_argument('-v', dest='uuid', action='store') Parser.add_argument('--version', action='version', version='%(prog)s 1.0') args, leftovers = Parser.parse_known_args() if (bool(args.b)*bool(args.p)*bool(args.uuid)) is True: print "Error: Give either -b, -p or -v option" print "-b : Take Backup -m <mount_points>" print "-p : Post Backup handling -m <mount_points>" print "-v : <backup_id> Verify from backup" exit(-1) elif (len(sys.argv) <2): print "Error: Give either -b, -p or -v option" print "-b : Take Backup -m <mount_points>" print "-p : Post Backup handling -m <mount_points>" print "-v : <backup_id> Verify from backup" parseresults = Parser.parse_args() main(parseresults)

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null

0

null

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1

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1

f16a791d25b74cea013a19c66e01310b130ce613

6,678

py

Python

handlers/account.py

zhy0216-collection/Gather

4a42715b83ad8802514c4f8128fd0a30658ba359

[ "MIT" ]

null

handlers/account.py

zhy0216-collection/Gather

4a42715b83ad8802514c4f8128fd0a30658ba359

[ "MIT" ]

null

handlers/account.py

zhy0216-collection/Gather

4a42715b83ad8802514c4f8128fd0a30658ba359

[ "MIT" ]

null

# coding=utf-8 import time import hashlib import tornado.web import tornado.locale from bson.objectid import ObjectId from . import BaseHandler from .utils import username_validator, email_validator class SignupHandler(BaseHandler): def get(self): if self.current_user: self.redirect(self.get_argument('next', '/')) self.render('account/signup.html') def post(self): self.recaptcha_validate() username = self.get_argument('username', None) email = self.get_argument('email', '').lower() password = self.get_argument('password', None) password2 = self.get_argument('password2', None) if not (username and email and password and password2): self.flash('Please fill the required field') if password != password2: self.flash("Password doesn't match") if username and not username_validator.match(username): self.flash('Username is invalid') if email and not email_validator.match(email): self.flash('Not a valid email address') if username and \ self.db.members.find_one({'name_lower': username.lower()}): self.flash('This username is already registered') if email and self.db.members.find_one({'email': email}): self.flash('This email is already registered') if self.messages: self.render('account/signup.html') return password = hashlib.sha1(password + username.lower()).hexdigest() role = 1 if not self.db.members.count(): role = 5 self.db.members.insert({ 'name': username, 'name_lower': username.lower(), 'password': password, 'email': email, 'website': '', 'description': '', 'created': time.time(), 'language': self.settings['default_locale'], 'role': role, # TODO:send mail. 'like': [], # topics 'follow': [], # users 'favorite': [] # nodes }) self.set_secure_cookie('user', password, expires_days=30) self.redirect(self.get_argument('next', '/')) class SigninHandler(BaseHandler): def get(self): if self.current_user: self.redirect(self.get_argument('next', '/')) self.render('account/signin.html') def post(self): username = self.get_argument('username', '').lower() password = self.get_argument('password', None) if not (username and password): self.flash('Please fill the required field') password = hashlib.sha1(password + username).hexdigest() member = self.db.members.find_one({'name_lower': username, 'password': password}) if not member: self.flash('Invalid account or password') self.render('account/signin.html') return self.set_secure_cookie('user', password, expires_days=30) self.redirect(self.get_argument('next', '/')) class SignoutHandler(BaseHandler): def get(self): user_name = self.get_argument('user', None) if user_name != self.current_user['name']: raise tornado.web.HTTPError(403) self.clear_cookie('user') self.redirect(self.get_argument('next', '/')) class SettingsHandler(BaseHandler): @tornado.web.authenticated def get(self): self.render('account/settings.html', locales=self.application.locales) @tornado.web.authenticated def post(self): website = self.get_argument('website', '') description = self.get_argument('description', '') pushover = self.get_argument('pushover', '') language = self.get_argument('language') if len(description) > 1500: self.flash("The description is too long") self.db.members.update({'_id': self.current_user['_id']}, {'$set': { 'website': website, 'description': description, 'language': language, 'pushover': pushover }}) self.flash('Saved successfully', type='success') self.redirect('/account/settings') class ChangePasswordHandler(BaseHandler): @tornado.web.authenticated def post(self): old_password = self.get_argument('old_password', None) new_password = self.get_argument('new_password', None) if not (old_password and new_password): self.flash('Please fill the required field') key = old_password + self.current_user['name'].lower() password = hashlib.sha1(key).hexdigest() if password != self.current_user['password']: self.flash('Invalid password') if self.messages: self.redirect('/account/settings') return key = new_password + self.current_user['name'].lower() password = str(hashlib.sha1(key).hexdigest()) self.db.members.update({'_id': self.current_user['_id']}, {'$set': {'password': password}}) self.set_secure_cookie('user', password, expires_days=30) self.flash('Saved successfully', type='success') self.redirect('/account/settings') class NotificationsHandler(BaseHandler): @tornado.web.authenticated def get(self): p = int(self.get_argument('p', 1)) notis = self.db.notifications.find({ 'to': self.current_user['name_lower'] }, sort=[('created', -1)]) notis_count = notis.count() per_page = self.settings['notifications_per_page'] notis = notis[(p - 1) * per_page:p * per_page] self.render('account/notifications.html', notis=notis, notis_count=notis_count, p=p) class NotificationsClearHandler(BaseHandler): @tornado.web.authenticated def get(self): self.db.notifications.remove({'to': self.current_user['name_lower']}) self.redirect('/') class NotificationsRemoveHandler(BaseHandler): @tornado.web.authenticated def get(self, id): self.db.notifications.remove({'_id': ObjectId(id)}) self.redirect(self.get_argument('next', '/account/notifications')) handlers = [ (r'/account/signup', SignupHandler), (r'/account/signin', SigninHandler), (r'/account/signout', SignoutHandler), (r'/account/settings', SettingsHandler), (r'/account/password', ChangePasswordHandler), (r'/account/notifications', NotificationsHandler), (r'/account/notifications/clear', NotificationsClearHandler), (r'/account/notifications/(\w+)/remove', NotificationsRemoveHandler), ]

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null

0

null

0

1

0

1

f16a9f1e0a62e908912b60fb92e081e1677a4276

3,772

py

Python

main.py

sajidengg/tets

34287901dfb9222b109525f2198e73b561a1c55f

[ "MIT" ]

1

2019-09-12T02:19:50.000Z

main.py

sajidengg/tets

34287901dfb9222b109525f2198e73b561a1c55f

[ "MIT" ]

1

2019-04-10T15:16:54.000Z

2019-04-10T15:17:28.000Z

main.py

sajidengg/tets

34287901dfb9222b109525f2198e73b561a1c55f

[ "MIT" ]

null

# -*- coding: UTF-8 -*- # main.py # Root file for EmotionDetection program. # Prints out command line menu and handles user choices from __future__ import print_function from EmotionDetection import WordMap from EmotionDetection import EvaluateText from EmotionDetection import GUI try: input = raw_input except NameError: pass import sys reload(sys) sys.setdefaultencoding('utf8') def printMenu(): print("°º¤ø,¸¸,ø¤º°`°º¤ø,¸,ø¤°º¤ø,¸¸,", "EmotionDetection", ",¸¸,ø¤º°`°º¤ø,¸,ø¤°º¤ø,¸¸,ø¤º°\n") print("1. Training") print("2. Testing") print("3. Evaluate Text") print("4. GUI Evaluation") print("5. Information") print("6. Exit\n") print(78 * "-", "\n") def main(): choice = True while choice: printMenu() choice = input("Select option [1-6]: ") print if choice == "1": train() elif choice == "2": test() elif choice == "3": evaluate() elif choice == "4": gui() elif choice == "5": printInfo() elif choice == "6": print("Exiting....\n") choice = False else: print("Invalid choice.") choice = True # Training Program, builds map of words and emotion values from annotated corpus def train(): reset = input("Reset training data? [y/n]: ").lower() in ["yes", "y", "1"] text = input("Text file: ") values = input("Value file: ") print("") try: print("Loading input values into WordMap...\n") with open("./data/" + text, 'r') as textFile: with open("./data/" + values, 'r') as valueFile: WordMap.buildWordMap(reset, textFile, valueFile) except IOError: print("File not found. Returning to main menu...\n") def test(): text = input("Text file: ") values = input("Value file: ") print("") print ("values file is " , "./data/" + values) try: print("\nRunning text evaluation...\n") with open("./data/" + text, 'r') as textFile: print ("text found") with open("./data/" + values, 'r') as valueFile: print ("values found") EvaluateText.evaluate(textFile, valueFile) except IOError: print("File not found. Returning to main menu...\n") def evaluate(): text = input("Text file: ") print("") try: print("Running text evaluation...\n") with open("./data/" + text, 'r') as textFile: EvaluateText.evaluate(textFile) except IOError: print("File not found. Returning to main menu...\n") def gui(): window = GUI.Evaluator() def printInfo(): print("\n°`°º¤ø,¸¸,ø¤º°`°º¤ø,¸,ø¤°º¤ø,¸¸,", "INFORMATION", ",¸¸,ø¤º°`°º¤ø,¸,ø¤°º¤ø,¸¸,ø¤º°º¤ø\n") print("EmotionDetection v1, sentiment analysis system operating off a multinomial") print("Naive Bayes classififer. There are 13 possible labels that text can be") print("labelled as, the emotions are :empty, sadness, enthusiasm, neutral, worry,") print("surprise, love, fun, hate, happiness, boredom, relief and anger.\n") print("1. Training - Generates a WordMap using a text file and emotion value file.") print(" A word map is required for both testing and evaluation.\n") print("2. Testing - Run the system and test its accuracy by supplying correct ") print(" emotion values. Also produces reports and confusion plot\n") print("3. Evaluate Text - Run the system without given values. Used to evaluate input ") print(" file that has not been pre-labelled.") print(78 * "-", "\n") input("Press enter to return to menu...\n") main()

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0.321224

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0.014878

0.018034

0.244364

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3,772

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0

1

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false

0.010638

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0.425532

0

null

0

null

0

1

0

1

f17253e50c3d29da6840924939fc8b996955e407

545

py

Python

main.py

upkodah/upkodah-service

8ec16a4d5e53ec8a50cb3808d4473f60c5b12507

[ "MIT" ]

null

main.py

upkodah/upkodah-service

8ec16a4d5e53ec8a50cb3808d4473f60c5b12507

[ "MIT" ]

5

2020-10-29T01:27:37.000Z

2020-11-26T09:10:12.000Z

main.py

upkodah/upkodah-service

8ec16a4d5e53ec8a50cb3808d4473f60c5b12507

[ "MIT" ]

null

import destination_search ''' test용 값 gpsX = 127.0816985 # 동경 - 경도 gpsY = 37.5642135 # 북위 - 위도 time = 20 1. 좌표, 시간 입력 -> 주변 버스 정류소 ID 반환 2. 정류소 ID 입력 -> 버스 노선 획득 3. 획득한 버스 노선에서 출발지, 목적지 시간 계산하여 도착 버스 정류장 반환 ''' print("gps_x : ", end='') gps_x = input() print("gps_y : ", end='') gps_y = input() print("time : ", end='') time = int(input()) print('gps X : ', gps_x, 'gps Y : ', gps_y, 'time : ', time) result = destination_search.DestinationStation(gps_x, gps_y, time) print('gps_x, gps_y, 도착 시간, 도착 정류장') result.show_result()

20.185185

66

0.609174

97

545

3.28866

0.484536

0.075235

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0.075235

0

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545

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0

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false

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0

null

0

null

0

1

0

1

f17d5629104c63897a4fbfefaa73edad287f30c6

2,361

py

Python

libs/gen_shop.py

a1ex4/ownfoil

fed98a393b83e10509dda7a397c6ab4d8feb0960

[ "BSD-3-Clause" ]

7

2021-06-15T21:17:25.000Z

2022-03-21T15:02:29.000Z

libs/gen_shop.py

a1ex4/ownfoil

fed98a393b83e10509dda7a397c6ab4d8feb0960

[ "BSD-3-Clause" ]

1

2021-08-30T00:57:11.000Z

2021-10-19T00:21:10.000Z

libs/gen_shop.py

a1ex4/ownfoil

fed98a393b83e10509dda7a397c6ab4d8feb0960

[ "BSD-3-Clause" ]

2

2021-09-08T02:29:48.000Z

2021-11-15T10:44:42.000Z

# Usage: # python gen_shop.py <directory to scan> # Generate a 'shop.tfl' Tinfoil index file # as well as 'shop.json', same content but viewable in the browser import os, json, sys, time from consts import * from jsonc_parser.parser import JsoncParser import logging logging.basicConfig(format='%(asctime)s | %(levelname)s: %(message)s', level=logging.DEBUG) path = sys.argv[1] def getDirsAndFiles(path): entries = os.listdir(path) allFiles = list() allDirs = list() for entry in entries: fullPath = os.path.join(path, entry) if os.path.isdir(fullPath): allDirs.append(fullPath) dirs, files = getDirsAndFiles(fullPath) allDirs += dirs allFiles += files else: if fullPath.split('.')[-1] in valid_ext: allFiles.append(fullPath) return allDirs, allFiles while True: logging.info(f'Start scanning directory "{path}"') dirs = [] games = [] shop = default_shop template_file = os.path.join(path, template_name) if not os.path.isfile(template_file): logging.warning(f'Template file {template_file} not found, will use default shop template') else: try: shop = JsoncParser.parse_file(template_file) except Exception as e: logging.warning(f'Error parsing template file {template_file}, will use default shop template, error was:\n{e}') dirs, files = getDirsAndFiles(path) rel_dirs = [os.path.join('..', os.path.relpath(s, path)) for s in dirs] rel_files = [os.path.join('..', os.path.relpath(s, path)) for s in files] logging.info(f'Found {len(dirs)} directories, {len(files)} game/save files') for game, rel_path in zip(files, rel_files): size = round(os.path.getsize(game)) games.append( { 'url': rel_path, 'size': size }) shop['directories'] = rel_dirs shop['files'] = games for a in ['json', 'tfl']: out_file = os.path.join(path, f'shop.{a}') try: with open(out_file, 'w') as f: json.dump(shop, f, indent=4) logging.info(f'Successfully wrote {out_file}') except Exception as e: logging.error(f'Failed to write {out_file}, error was:\n{e}') time.sleep(scan_interval * 60)

31.065789

124

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0

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0.263871

2,361

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31.065789

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0.107143

0

null

0

1

0

null

0

1

f180164738e1dc06d26dc68102e4eeb08427357b

2,944

py

Python

tech_project/lib/python2.7/site-packages/aldryn_common/timesince.py

priyamshah112/Project-Descripton-Blog

8e01016c6be79776c4f5ca75563fa3daa839e39e

[ "MIT" ]

2

2015-03-11T09:58:13.000Z

2016-08-05T20:18:37.000Z

tech_project/lib/python2.7/site-packages/aldryn_common/timesince.py

priyamshah112/Project-Descripton-Blog

8e01016c6be79776c4f5ca75563fa3daa839e39e

[ "MIT" ]

27

2015-03-23T16:09:02.000Z

2018-12-18T14:22:20.000Z

tech_project/lib/python2.7/site-packages/aldryn_common/timesince.py

priyamshah112/Project-Descripton-Blog

8e01016c6be79776c4f5ca75563fa3daa839e39e

[ "MIT" ]

8

2015-03-23T16:14:22.000Z

2017-02-21T21:07:01.000Z

import datetime from django.utils.timezone import is_aware, utc from django.utils.translation import ugettext, ungettext def timesince_data(d, now=None, reverse=False): """ Takes two datetime objects and returns the time between d and now as a list of components, ordered by size. e.g. [{'number': 2, 'type': "hours"}, {'number': 10, 'type': "minutes"}] or [ {'number': 1, 'type': "year"}, {'number': 8, 'type': "months"}, {'number': 1, 'type': "week"}, {'number': 2, 'type': "days"}, {'number': 9, 'type': "hours"}, {'number': 42, 'type': "minutes"}, ]. If d occurs after now, then [{'number': 0, 'type': "minutes"}] is returned. Units used are years, months, weeks, days, hours, and minutes. Seconds and microseconds are ignored. Unlike django.utils.timesince, all the components are returned as a list of dictionaries. """ chunks = ( (60 * 60 * 24 * 365, lambda n: ungettext('year', 'years', n)), (60 * 60 * 24 * 30, lambda n: ungettext('month', 'months', n)), (60 * 60 * 24 * 7, lambda n: ungettext('week', 'weeks', n)), (60 * 60 * 24, lambda n: ungettext('day', 'days', n)), (60 * 60, lambda n: ungettext('hour', 'hours', n)), (60, lambda n: ungettext('minute', 'minutes', n)) ) # Convert datetime.date to datetime.datetime for comparison. if not isinstance(d, datetime.datetime): d = datetime.datetime(d.year, d.month, d.day) if now and not isinstance(now, datetime.datetime): now = datetime.datetime(now.year, now.month, now.day) if not now: now = datetime.datetime.now(utc if is_aware(d) else None) delta = (d - now) if reverse else (now - d) # ignore microseconds since = delta.days * 24 * 60 * 60 + delta.seconds if since <= 0: # d is in the future compared to now, stop processing. return [] r = [] for i, (seconds, name) in enumerate(chunks): count = since // seconds r.append({'number': count, 'type': name(count)}) return r def timesince_data_nonzero(d, now=None, reverse=False): return [item for item in timesince_data(d, now, reverse) if item['number'] > 0] def timesince_data_single(d, now=None, reverse=False): r = timesince_data_nonzero(d, now, reverse) if r: return r[0] else: return {'number': 0, 'type': ugettext('minutes')} def timesince_text(d, now=None): return ugettext('%(number)d %(type)s') % timesince_data_single(d, now)[0] def timeuntil_data(d, now=None): return timesince_data(d, now, reverse=True) def timeuntil_data_nonzero(d, now=None): return timesince_data_nonzero(d, now, reverse=True) def timeuntil_data_single(d, now=None): return timesince_data_nonzero(d, now, reverse=True) def timeuntil_text(d, now=None): return ugettext('%(number)d %(type)s') % timeuntil_data_nonzero(d, now)[0]

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null

0

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1

74ac48de8e16cbda27909756ffb236d23adc27ea

376

py

Python

country/migrations/0023_auto_20210301_0839.py

bikramtuladhar/covid-19-procurement-explorer-admin

9bba473c8b83c8651e3178b6fba01af74d8b27dc

[ "BSD-3-Clause" ]

null

country/migrations/0023_auto_20210301_0839.py

bikramtuladhar/covid-19-procurement-explorer-admin

9bba473c8b83c8651e3178b6fba01af74d8b27dc

[ "BSD-3-Clause" ]

null

country/migrations/0023_auto_20210301_0839.py

bikramtuladhar/covid-19-procurement-explorer-admin

9bba473c8b83c8651e3178b6fba01af74d8b27dc

[ "BSD-3-Clause" ]

null

# Generated by Django 3.1.2 on 2021-03-01 08:39 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ("country", "0022_merge_20210226_1050"), ] operations = [ migrations.AlterModelOptions( name="equitycategory", options={"verbose_name_plural": "Equity Categories"}, ), ]

20.888889

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null

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null

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74ae0bf85eb2d9d38456959bc42d199b78f2e0f3

323

py

Python

techproject/src/mainapp/products/migrations/0002_auto_20210416_2106.py

Joshuajking/RoyalHotel-WebApp

351681ea9ee2a79046b09b22a9dae26780cd9e9c

[ "Unlicense" ]

null

techproject/src/mainapp/products/migrations/0002_auto_20210416_2106.py

Joshuajking/RoyalHotel-WebApp

351681ea9ee2a79046b09b22a9dae26780cd9e9c

[ "Unlicense" ]

null

techproject/src/mainapp/products/migrations/0002_auto_20210416_2106.py

Joshuajking/RoyalHotel-WebApp

351681ea9ee2a79046b09b22a9dae26780cd9e9c

[ "Unlicense" ]

null

# Generated by Django 2.0.7 on 2021-04-17 02:06 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('products', '0001_initial'), ] operations = [ migrations.RenameModel( old_name='Products', new_name='Product', ), ]

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null

0

1

0

null

0

1

74b1b62ded3a565c9e9435f28ddf27ba6a746cb0

738

py

Python

ptmv/snd.py

ryw89/ptmv

63df738a9700de173e3eb4202ec24a867e2525f4

[ "MIT" ]

null

ptmv/snd.py

ryw89/ptmv

63df738a9700de173e3eb4202ec24a867e2525f4

[ "MIT" ]

null

ptmv/snd.py

ryw89/ptmv

63df738a9700de173e3eb4202ec24a867e2525f4

[ "MIT" ]

null

import os import subprocess import tempfile import time import wave import simpleaudio def extract(file): ptmv_tempdir = os.path.join(tempfile.gettempdir(), "ptmv") if not os.path.exists(ptmv_tempdir): os.makedirs(ptmv_tempdir) snd_file = ptmv_tempdir + str(int(time.time())) + ".wav" command = "ffmpeg -i " + file + " -b:a 48k -ac 1 " + snd_file subprocess.run(command.split(), stdout = subprocess.DEVNULL, stderr = subprocess.DEVNULL) return snd_file def play(file, start_time): if not os.path.exists(file): return wave_raw = wave.open(file) frame_rate = wave_raw.getframerate() wave_raw.setpos(int(frame_rate * start_time)) return simpleaudio.WaveObject.from_wave_read(wave_raw).play() def stop(play_obj): play_obj.stop()

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null

0

1

0

1

74b7f7e963a239b074c92c650bdbd8d4e5bdc2e6

1,127

py

Python

rpg/lib.py

FlorianLeChat/Python-RPG

833594a964687f57b71eeb63a2a410a8fee43aa1

[ "MIT" ]

null

rpg/lib.py

FlorianLeChat/Python-RPG

833594a964687f57b71eeb63a2a410a8fee43aa1

[ "MIT" ]

null

rpg/lib.py

FlorianLeChat/Python-RPG

833594a964687f57b71eeb63a2a410a8fee43aa1

[ "MIT" ]

null

# # Try to check if the input is a number. # https://stackoverflow.com/a/1267145 # def tryGetNumber(value = ""): try: int(value) return True except ValueError: return False # # Try to retrieve the input from the usage by checking the termination # controls like CTRL+C to stop the program. # def tryGetInput(prompt = ""): try: return input(prompt) except KeyboardInterrupt: return False # # Checks if the string is a loadable JSON object. # https://stackoverflow.com/a/5508597 # import json def tryGetJSON(value = ""): try: return json.loads(value) except ValueError: return False # # Displays a message in the output terminal formatted for the RPG project. # def consoleLog(prefix = "Info", message = "", newLine = "\n"): print("[" + prefix + "] " + message, end = newLine, flush = True) # # Returns a list of files inside a single folder. # https://stackoverflow.com/a/1724723 # import os, fnmatch def findFiles(pattern, path): result = [] for root, _, files in os.walk(path): for name in files: if fnmatch.fnmatch(name, pattern): result.append(os.path.join(root, name)) return result

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1,127

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0

null

0

null

0

1

0

1

74c416090412740f9213f9dd77f04282a2b98bbb

372

py

Python

setup.py

RosettaCommons/pyrosetta_colab_setup

8e00ed2f1e73e46abc30a2103cef89e48a44a1c8

[ "MIT" ]

1

2021-07-16T19:31:19.000Z

setup.py

dw5601/pyrosetta_colab_setup

8e00ed2f1e73e46abc30a2103cef89e48a44a1c8

[ "MIT" ]

null

setup.py

dw5601/pyrosetta_colab_setup

8e00ed2f1e73e46abc30a2103cef89e48a44a1c8

[ "MIT" ]

2

2021-07-16T19:31:21.000Z

2021-09-09T06:50:32.000Z

from setuptools import setup setup(name='pyrosettacolabsetup', version='0.5', description='Mounts Google Drive for PyRosetta use in Google Colaboratory', url='https://github.com/kathyle9/pyrosettacolabsetup', author='kathyle9', author_email='kle16@jhu.edu', license='MIT', packages=['pyrosettacolabsetup'], zip_safe=False)

31

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372

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0.1

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null

0

null

0

1

0

1

74c56a4b96f6fcd9893adae4e172250b3e40e46f

1,885

py

Python

my_decorator.py

4enzo/learning_py

6f0bc7b974fd7cdb9138a5c41ebaec339373513f

[ "MIT" ]

null

my_decorator.py

4enzo/learning_py

6f0bc7b974fd7cdb9138a5c41ebaec339373513f

[ "MIT" ]

null

my_decorator.py

4enzo/learning_py

6f0bc7b974fd7cdb9138a5c41ebaec339373513f

[ "MIT" ]

null

# -*- coding: utf-8 -*- ''' Created on 2022-03-16 @author: Enzo ''' import time import functools def run_time(func): "函数运行时长" @functools.wraps(func) def inner(*args, **kwargs): start_time = time.time() result = func(*args, **kwargs) end_time = time.time() print('%s spend: %.4f s'%(func.__name__,end_time-start_time)) return result return inner #@property class Test(object): def __init__(self): self.__num = 100 #@property可以把一个方法装饰成一个属性来使用 #正常情况下，操作私有变量需要使用set get函数，但这显得繁琐 # 把一个getter方法变成属性，只需要加上@property就可以了，此时，@property本身又创建了另一个装饰器@xxx.setter，负责把一个setter方法变成属性赋值，于是，我们就拥有一个可控的属性操作 @property def num(self): return self.__num @num.setter def num(self,number): if isinstance(number,int): self.__num = number else: print('The number is not a int') class Foo(object): name = 'test' def __init__(self): pass #通常情况下，类中定义的方法默认都是实例方法 #self实例方法的调用离不开实例,需要把实例自己传给函数 def normal_func(self): "实例方法" print('This is normal_func') #实例方法调用静态方法使用self.方法名() self.static_func() #@staticmethod不需要表示自身对象的self和自身类的cls参数，就跟使用函数一样 #如果方法内部没有操作实例属性的操作，仅仅包含一些工具性的操作，建议使用静态方法，比如格式化时间输出 @staticmethod def static_func(): "静态方法" print('This is static_func') #@classmethod 修饰符对应的函数不需要实例化，不需要 self 参数，但第一个参数需要是表示自身类的 cls 参数，可以来调用类的属性，类的方法，实例化对象等，避免硬编码 #如果需要对类属性，即静态变量进行限制性操作，则建议使用类方法 @classmethod def class_func(cls): "类方法" print('This is class_func') if __name__ == '__main__': #实例方法需要实例，只能：类名().方法名()调用 Foo().normal_func() #类名.方法名() #也可以类名().方法名(),但不建议 Foo.static_func() #类名.方法名() #也可以类名().方法名(),但不建议 Foo.class_func()

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74c6c5264a18874bfc3529ea2edc3a70a8558e9d

35,236

py

Python

src/oci/data_integration/models/task_run.py

LaudateCorpus1/oci-python-sdk

b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015

[ "Apache-2.0", "BSD-3-Clause" ]

null

src/oci/data_integration/models/task_run.py

LaudateCorpus1/oci-python-sdk

b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015

[ "Apache-2.0", "BSD-3-Clause" ]

null

src/oci/data_integration/models/task_run.py

LaudateCorpus1/oci-python-sdk

b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015

[ "Apache-2.0", "BSD-3-Clause" ]

null

# coding: utf-8 # Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class TaskRun(object): """ The information about a task run. """ #: A constant which can be used with the status property of a TaskRun. #: This constant has a value of "NOT_STARTED" STATUS_NOT_STARTED = "NOT_STARTED" #: A constant which can be used with the status property of a TaskRun. #: This constant has a value of "QUEUED" STATUS_QUEUED = "QUEUED" #: A constant which can be used with the status property of a TaskRun. #: This constant has a value of "RUNNING" STATUS_RUNNING = "RUNNING" #: A constant which can be used with the status property of a TaskRun. #: This constant has a value of "TERMINATING" STATUS_TERMINATING = "TERMINATING" #: A constant which can be used with the status property of a TaskRun. #: This constant has a value of "TERMINATED" STATUS_TERMINATED = "TERMINATED" #: A constant which can be used with the status property of a TaskRun. #: This constant has a value of "SUCCESS" STATUS_SUCCESS = "SUCCESS" #: A constant which can be used with the status property of a TaskRun. #: This constant has a value of "ERROR" STATUS_ERROR = "ERROR" #: A constant which can be used with the expected_duration_unit property of a TaskRun. #: This constant has a value of "SECONDS" EXPECTED_DURATION_UNIT_SECONDS = "SECONDS" #: A constant which can be used with the expected_duration_unit property of a TaskRun. #: This constant has a value of "MINUTES" EXPECTED_DURATION_UNIT_MINUTES = "MINUTES" #: A constant which can be used with the expected_duration_unit property of a TaskRun. #: This constant has a value of "HOURS" EXPECTED_DURATION_UNIT_HOURS = "HOURS" #: A constant which can be used with the expected_duration_unit property of a TaskRun. #: This constant has a value of "DAYS" EXPECTED_DURATION_UNIT_DAYS = "DAYS" #: A constant which can be used with the auth_mode property of a TaskRun. #: This constant has a value of "OBO" AUTH_MODE_OBO = "OBO" #: A constant which can be used with the auth_mode property of a TaskRun. #: This constant has a value of "RESOURCE_PRINCIPAL" AUTH_MODE_RESOURCE_PRINCIPAL = "RESOURCE_PRINCIPAL" #: A constant which can be used with the auth_mode property of a TaskRun. #: This constant has a value of "USER_CERTIFICATE" AUTH_MODE_USER_CERTIFICATE = "USER_CERTIFICATE" #: A constant which can be used with the task_type property of a TaskRun. #: This constant has a value of "INTEGRATION_TASK" TASK_TYPE_INTEGRATION_TASK = "INTEGRATION_TASK" #: A constant which can be used with the task_type property of a TaskRun. #: This constant has a value of "DATA_LOADER_TASK" TASK_TYPE_DATA_LOADER_TASK = "DATA_LOADER_TASK" #: A constant which can be used with the task_type property of a TaskRun. #: This constant has a value of "PIPELINE_TASK" TASK_TYPE_PIPELINE_TASK = "PIPELINE_TASK" #: A constant which can be used with the task_type property of a TaskRun. #: This constant has a value of "SQL_TASK" TASK_TYPE_SQL_TASK = "SQL_TASK" #: A constant which can be used with the task_type property of a TaskRun. #: This constant has a value of "OCI_DATAFLOW_TASK" TASK_TYPE_OCI_DATAFLOW_TASK = "OCI_DATAFLOW_TASK" #: A constant which can be used with the task_type property of a TaskRun. #: This constant has a value of "REST_TASK" TASK_TYPE_REST_TASK = "REST_TASK" def __init__(self, **kwargs): """ Initializes a new TaskRun object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param key: The value to assign to the key property of this TaskRun. :type key: str :param model_type: The value to assign to the model_type property of this TaskRun. :type model_type: str :param model_version: The value to assign to the model_version property of this TaskRun. :type model_version: str :param parent_ref: The value to assign to the parent_ref property of this TaskRun. :type parent_ref: oci.data_integration.models.ParentReference :param name: The value to assign to the name property of this TaskRun. :type name: str :param description: The value to assign to the description property of this TaskRun. :type description: str :param object_version: The value to assign to the object_version property of this TaskRun. :type object_version: int :param config_provider: The value to assign to the config_provider property of this TaskRun. :type config_provider: oci.data_integration.models.ConfigProvider :param status: The value to assign to the status property of this TaskRun. Allowed values for this property are: "NOT_STARTED", "QUEUED", "RUNNING", "TERMINATING", "TERMINATED", "SUCCESS", "ERROR", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type status: str :param start_time_millis: The value to assign to the start_time_millis property of this TaskRun. :type start_time_millis: int :param end_time_millis: The value to assign to the end_time_millis property of this TaskRun. :type end_time_millis: int :param last_updated: The value to assign to the last_updated property of this TaskRun. :type last_updated: int :param records_written: The value to assign to the records_written property of this TaskRun. :type records_written: int :param bytes_processed: The value to assign to the bytes_processed property of this TaskRun. :type bytes_processed: int :param error_message: The value to assign to the error_message property of this TaskRun. :type error_message: str :param expected_duration: The value to assign to the expected_duration property of this TaskRun. :type expected_duration: float :param expected_duration_unit: The value to assign to the expected_duration_unit property of this TaskRun. Allowed values for this property are: "SECONDS", "MINUTES", "HOURS", "DAYS", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type expected_duration_unit: str :param task_key: The value to assign to the task_key property of this TaskRun. :type task_key: str :param external_id: The value to assign to the external_id property of this TaskRun. :type external_id: str :param retry_attempt: The value to assign to the retry_attempt property of this TaskRun. :type retry_attempt: int :param task_schedule: The value to assign to the task_schedule property of this TaskRun. :type task_schedule: oci.data_integration.models.TaskSchedule :param metrics: The value to assign to the metrics property of this TaskRun. :type metrics: dict(str, float) :param outputs: The value to assign to the outputs property of this TaskRun. :type outputs: dict(str, ParameterValue) :param execution_errors: The value to assign to the execution_errors property of this TaskRun. :type execution_errors: list[str] :param termination_errors: The value to assign to the termination_errors property of this TaskRun. :type termination_errors: list[str] :param auth_mode: The value to assign to the auth_mode property of this TaskRun. Allowed values for this property are: "OBO", "RESOURCE_PRINCIPAL", "USER_CERTIFICATE", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type auth_mode: str :param opc_request_id: The value to assign to the opc_request_id property of this TaskRun. :type opc_request_id: str :param object_status: The value to assign to the object_status property of this TaskRun. :type object_status: int :param task_type: The value to assign to the task_type property of this TaskRun. Allowed values for this property are: "INTEGRATION_TASK", "DATA_LOADER_TASK", "PIPELINE_TASK", "SQL_TASK", "OCI_DATAFLOW_TASK", "REST_TASK", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type task_type: str :param identifier: The value to assign to the identifier property of this TaskRun. :type identifier: str :param metadata: The value to assign to the metadata property of this TaskRun. :type metadata: oci.data_integration.models.ObjectMetadata :param key_map: The value to assign to the key_map property of this TaskRun. :type key_map: dict(str, str) """ self.swagger_types = { 'key': 'str', 'model_type': 'str', 'model_version': 'str', 'parent_ref': 'ParentReference', 'name': 'str', 'description': 'str', 'object_version': 'int', 'config_provider': 'ConfigProvider', 'status': 'str', 'start_time_millis': 'int', 'end_time_millis': 'int', 'last_updated': 'int', 'records_written': 'int', 'bytes_processed': 'int', 'error_message': 'str', 'expected_duration': 'float', 'expected_duration_unit': 'str', 'task_key': 'str', 'external_id': 'str', 'retry_attempt': 'int', 'task_schedule': 'TaskSchedule', 'metrics': 'dict(str, float)', 'outputs': 'dict(str, ParameterValue)', 'execution_errors': 'list[str]', 'termination_errors': 'list[str]', 'auth_mode': 'str', 'opc_request_id': 'str', 'object_status': 'int', 'task_type': 'str', 'identifier': 'str', 'metadata': 'ObjectMetadata', 'key_map': 'dict(str, str)' } self.attribute_map = { 'key': 'key', 'model_type': 'modelType', 'model_version': 'modelVersion', 'parent_ref': 'parentRef', 'name': 'name', 'description': 'description', 'object_version': 'objectVersion', 'config_provider': 'configProvider', 'status': 'status', 'start_time_millis': 'startTimeMillis', 'end_time_millis': 'endTimeMillis', 'last_updated': 'lastUpdated', 'records_written': 'recordsWritten', 'bytes_processed': 'bytesProcessed', 'error_message': 'errorMessage', 'expected_duration': 'expectedDuration', 'expected_duration_unit': 'expectedDurationUnit', 'task_key': 'taskKey', 'external_id': 'externalId', 'retry_attempt': 'retryAttempt', 'task_schedule': 'taskSchedule', 'metrics': 'metrics', 'outputs': 'outputs', 'execution_errors': 'executionErrors', 'termination_errors': 'terminationErrors', 'auth_mode': 'authMode', 'opc_request_id': 'opcRequestId', 'object_status': 'objectStatus', 'task_type': 'taskType', 'identifier': 'identifier', 'metadata': 'metadata', 'key_map': 'keyMap' } self._key = None self._model_type = None self._model_version = None self._parent_ref = None self._name = None self._description = None self._object_version = None self._config_provider = None self._status = None self._start_time_millis = None self._end_time_millis = None self._last_updated = None self._records_written = None self._bytes_processed = None self._error_message = None self._expected_duration = None self._expected_duration_unit = None self._task_key = None self._external_id = None self._retry_attempt = None self._task_schedule = None self._metrics = None self._outputs = None self._execution_errors = None self._termination_errors = None self._auth_mode = None self._opc_request_id = None self._object_status = None self._task_type = None self._identifier = None self._metadata = None self._key_map = None @property def key(self): """ Gets the key of this TaskRun. The key of the object. :return: The key of this TaskRun. :rtype: str """ return self._key @key.setter def key(self, key): """ Sets the key of this TaskRun. The key of the object. :param key: The key of this TaskRun. :type: str """ self._key = key @property def model_type(self): """ Gets the model_type of this TaskRun. The type of the object. :return: The model_type of this TaskRun. :rtype: str """ return self._model_type @model_type.setter def model_type(self, model_type): """ Sets the model_type of this TaskRun. The type of the object. :param model_type: The model_type of this TaskRun. :type: str """ self._model_type = model_type @property def model_version(self): """ Gets the model_version of this TaskRun. The model version of an object. :return: The model_version of this TaskRun. :rtype: str """ return self._model_version @model_version.setter def model_version(self, model_version): """ Sets the model_version of this TaskRun. The model version of an object. :param model_version: The model_version of this TaskRun. :type: str """ self._model_version = model_version @property def parent_ref(self): """ Gets the parent_ref of this TaskRun. :return: The parent_ref of this TaskRun. :rtype: oci.data_integration.models.ParentReference """ return self._parent_ref @parent_ref.setter def parent_ref(self, parent_ref): """ Sets the parent_ref of this TaskRun. :param parent_ref: The parent_ref of this TaskRun. :type: oci.data_integration.models.ParentReference """ self._parent_ref = parent_ref @property def name(self): """ Gets the name of this TaskRun. Free form text without any restriction on permitted characters. Name can have letters, numbers, and special characters. The value is editable and is restricted to 1000 characters. :return: The name of this TaskRun. :rtype: str """ return self._name @name.setter def name(self, name): """ Sets the name of this TaskRun. Free form text without any restriction on permitted characters. Name can have letters, numbers, and special characters. The value is editable and is restricted to 1000 characters. :param name: The name of this TaskRun. :type: str """ self._name = name @property def description(self): """ Gets the description of this TaskRun. Detailed description for the object. :return: The description of this TaskRun. :rtype: str """ return self._description @description.setter def description(self, description): """ Sets the description of this TaskRun. Detailed description for the object. :param description: The description of this TaskRun. :type: str """ self._description = description @property def object_version(self): """ Gets the object_version of this TaskRun. The version of the object that is used to track changes in the object instance. :return: The object_version of this TaskRun. :rtype: int """ return self._object_version @object_version.setter def object_version(self, object_version): """ Sets the object_version of this TaskRun. The version of the object that is used to track changes in the object instance. :param object_version: The object_version of this TaskRun. :type: int """ self._object_version = object_version @property def config_provider(self): """ Gets the config_provider of this TaskRun. :return: The config_provider of this TaskRun. :rtype: oci.data_integration.models.ConfigProvider """ return self._config_provider @config_provider.setter def config_provider(self, config_provider): """ Sets the config_provider of this TaskRun. :param config_provider: The config_provider of this TaskRun. :type: oci.data_integration.models.ConfigProvider """ self._config_provider = config_provider @property def status(self): """ Gets the status of this TaskRun. The status of the task run. Allowed values for this property are: "NOT_STARTED", "QUEUED", "RUNNING", "TERMINATING", "TERMINATED", "SUCCESS", "ERROR", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :return: The status of this TaskRun. :rtype: str """ return self._status @status.setter def status(self, status): """ Sets the status of this TaskRun. The status of the task run. :param status: The status of this TaskRun. :type: str """ allowed_values = ["NOT_STARTED", "QUEUED", "RUNNING", "TERMINATING", "TERMINATED", "SUCCESS", "ERROR"] if not value_allowed_none_or_none_sentinel(status, allowed_values): status = 'UNKNOWN_ENUM_VALUE' self._status = status @property def start_time_millis(self): """ Gets the start_time_millis of this TaskRun. The start time. :return: The start_time_millis of this TaskRun. :rtype: int """ return self._start_time_millis @start_time_millis.setter def start_time_millis(self, start_time_millis): """ Sets the start_time_millis of this TaskRun. The start time. :param start_time_millis: The start_time_millis of this TaskRun. :type: int """ self._start_time_millis = start_time_millis @property def end_time_millis(self): """ Gets the end_time_millis of this TaskRun. The end time. :return: The end_time_millis of this TaskRun. :rtype: int """ return self._end_time_millis @end_time_millis.setter def end_time_millis(self, end_time_millis): """ Sets the end_time_millis of this TaskRun. The end time. :param end_time_millis: The end_time_millis of this TaskRun. :type: int """ self._end_time_millis = end_time_millis @property def last_updated(self): """ Gets the last_updated of this TaskRun. The date and time the object was last updated. :return: The last_updated of this TaskRun. :rtype: int """ return self._last_updated @last_updated.setter def last_updated(self, last_updated): """ Sets the last_updated of this TaskRun. The date and time the object was last updated. :param last_updated: The last_updated of this TaskRun. :type: int """ self._last_updated = last_updated @property def records_written(self): """ Gets the records_written of this TaskRun. The number of records processed in the task run. :return: The records_written of this TaskRun. :rtype: int """ return self._records_written @records_written.setter def records_written(self, records_written): """ Sets the records_written of this TaskRun. The number of records processed in the task run. :param records_written: The records_written of this TaskRun. :type: int """ self._records_written = records_written @property def bytes_processed(self): """ Gets the bytes_processed of this TaskRun. The number of bytes processed in the task run. :return: The bytes_processed of this TaskRun. :rtype: int """ return self._bytes_processed @bytes_processed.setter def bytes_processed(self, bytes_processed): """ Sets the bytes_processed of this TaskRun. The number of bytes processed in the task run. :param bytes_processed: The bytes_processed of this TaskRun. :type: int """ self._bytes_processed = bytes_processed @property def error_message(self): """ Gets the error_message of this TaskRun. Contains an error message if status is `ERROR`. :return: The error_message of this TaskRun. :rtype: str """ return self._error_message @error_message.setter def error_message(self, error_message): """ Sets the error_message of this TaskRun. Contains an error message if status is `ERROR`. :param error_message: The error_message of this TaskRun. :type: str """ self._error_message = error_message @property def expected_duration(self): """ Gets the expected_duration of this TaskRun. The expected duration for the task run. :return: The expected_duration of this TaskRun. :rtype: float """ return self._expected_duration @expected_duration.setter def expected_duration(self, expected_duration): """ Sets the expected_duration of this TaskRun. The expected duration for the task run. :param expected_duration: The expected_duration of this TaskRun. :type: float """ self._expected_duration = expected_duration @property def expected_duration_unit(self): """ Gets the expected_duration_unit of this TaskRun. The expected duration unit of measure. Allowed values for this property are: "SECONDS", "MINUTES", "HOURS", "DAYS", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :return: The expected_duration_unit of this TaskRun. :rtype: str """ return self._expected_duration_unit @expected_duration_unit.setter def expected_duration_unit(self, expected_duration_unit): """ Sets the expected_duration_unit of this TaskRun. The expected duration unit of measure. :param expected_duration_unit: The expected_duration_unit of this TaskRun. :type: str """ allowed_values = ["SECONDS", "MINUTES", "HOURS", "DAYS"] if not value_allowed_none_or_none_sentinel(expected_duration_unit, allowed_values): expected_duration_unit = 'UNKNOWN_ENUM_VALUE' self._expected_duration_unit = expected_duration_unit @property def task_key(self): """ Gets the task_key of this TaskRun. Task Key of the task for which TaskRun is being created. If not specified, the AggregatorKey in RegistryMetadata will be assumed to be the TaskKey :return: The task_key of this TaskRun. :rtype: str """ return self._task_key @task_key.setter def task_key(self, task_key): """ Sets the task_key of this TaskRun. Task Key of the task for which TaskRun is being created. If not specified, the AggregatorKey in RegistryMetadata will be assumed to be the TaskKey :param task_key: The task_key of this TaskRun. :type: str """ self._task_key = task_key @property def external_id(self): """ Gets the external_id of this TaskRun. The external identifier for the task run. :return: The external_id of this TaskRun. :rtype: str """ return self._external_id @external_id.setter def external_id(self, external_id): """ Sets the external_id of this TaskRun. The external identifier for the task run. :param external_id: The external_id of this TaskRun. :type: str """ self._external_id = external_id @property def retry_attempt(self): """ Gets the retry_attempt of this TaskRun. Holds the particular attempt number. :return: The retry_attempt of this TaskRun. :rtype: int """ return self._retry_attempt @retry_attempt.setter def retry_attempt(self, retry_attempt): """ Sets the retry_attempt of this TaskRun. Holds the particular attempt number. :param retry_attempt: The retry_attempt of this TaskRun. :type: int """ self._retry_attempt = retry_attempt @property def task_schedule(self): """ Gets the task_schedule of this TaskRun. :return: The task_schedule of this TaskRun. :rtype: oci.data_integration.models.TaskSchedule """ return self._task_schedule @task_schedule.setter def task_schedule(self, task_schedule): """ Sets the task_schedule of this TaskRun. :param task_schedule: The task_schedule of this TaskRun. :type: oci.data_integration.models.TaskSchedule """ self._task_schedule = task_schedule @property def metrics(self): """ Gets the metrics of this TaskRun. A map of metrics for the run. :return: The metrics of this TaskRun. :rtype: dict(str, float) """ return self._metrics @metrics.setter def metrics(self, metrics): """ Sets the metrics of this TaskRun. A map of metrics for the run. :param metrics: The metrics of this TaskRun. :type: dict(str, float) """ self._metrics = metrics @property def outputs(self): """ Gets the outputs of this TaskRun. A map of the outputs of the run. :return: The outputs of this TaskRun. :rtype: dict(str, ParameterValue) """ return self._outputs @outputs.setter def outputs(self, outputs): """ Sets the outputs of this TaskRun. A map of the outputs of the run. :param outputs: The outputs of this TaskRun. :type: dict(str, ParameterValue) """ self._outputs = outputs @property def execution_errors(self): """ Gets the execution_errors of this TaskRun. An array of execution errors from the run. :return: The execution_errors of this TaskRun. :rtype: list[str] """ return self._execution_errors @execution_errors.setter def execution_errors(self, execution_errors): """ Sets the execution_errors of this TaskRun. An array of execution errors from the run. :param execution_errors: The execution_errors of this TaskRun. :type: list[str] """ self._execution_errors = execution_errors @property def termination_errors(self): """ Gets the termination_errors of this TaskRun. An array of termination errors from the run. :return: The termination_errors of this TaskRun. :rtype: list[str] """ return self._termination_errors @termination_errors.setter def termination_errors(self, termination_errors): """ Sets the termination_errors of this TaskRun. An array of termination errors from the run. :param termination_errors: The termination_errors of this TaskRun. :type: list[str] """ self._termination_errors = termination_errors @property def auth_mode(self): """ Gets the auth_mode of this TaskRun. The autorization mode for when the task was executed. Allowed values for this property are: "OBO", "RESOURCE_PRINCIPAL", "USER_CERTIFICATE", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :return: The auth_mode of this TaskRun. :rtype: str """ return self._auth_mode @auth_mode.setter def auth_mode(self, auth_mode): """ Sets the auth_mode of this TaskRun. The autorization mode for when the task was executed. :param auth_mode: The auth_mode of this TaskRun. :type: str """ allowed_values = ["OBO", "RESOURCE_PRINCIPAL", "USER_CERTIFICATE"] if not value_allowed_none_or_none_sentinel(auth_mode, allowed_values): auth_mode = 'UNKNOWN_ENUM_VALUE' self._auth_mode = auth_mode @property def opc_request_id(self): """ Gets the opc_request_id of this TaskRun. The OPC request ID of execution of the task run. :return: The opc_request_id of this TaskRun. :rtype: str """ return self._opc_request_id @opc_request_id.setter def opc_request_id(self, opc_request_id): """ Sets the opc_request_id of this TaskRun. The OPC request ID of execution of the task run. :param opc_request_id: The opc_request_id of this TaskRun. :type: str """ self._opc_request_id = opc_request_id @property def object_status(self): """ Gets the object_status of this TaskRun. The status of an object that can be set to value 1 for shallow references across objects, other values reserved. :return: The object_status of this TaskRun. :rtype: int """ return self._object_status @object_status.setter def object_status(self, object_status): """ Sets the object_status of this TaskRun. The status of an object that can be set to value 1 for shallow references across objects, other values reserved. :param object_status: The object_status of this TaskRun. :type: int """ self._object_status = object_status @property def task_type(self): """ Gets the task_type of this TaskRun. The type of task run. Allowed values for this property are: "INTEGRATION_TASK", "DATA_LOADER_TASK", "PIPELINE_TASK", "SQL_TASK", "OCI_DATAFLOW_TASK", "REST_TASK", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :return: The task_type of this TaskRun. :rtype: str """ return self._task_type @task_type.setter def task_type(self, task_type): """ Sets the task_type of this TaskRun. The type of task run. :param task_type: The task_type of this TaskRun. :type: str """ allowed_values = ["INTEGRATION_TASK", "DATA_LOADER_TASK", "PIPELINE_TASK", "SQL_TASK", "OCI_DATAFLOW_TASK", "REST_TASK"] if not value_allowed_none_or_none_sentinel(task_type, allowed_values): task_type = 'UNKNOWN_ENUM_VALUE' self._task_type = task_type @property def identifier(self): """ Gets the identifier of this TaskRun. Value can only contain upper case letters, underscore and numbers. It should begin with upper case letter or underscore. The value can be modified. :return: The identifier of this TaskRun. :rtype: str """ return self._identifier @identifier.setter def identifier(self, identifier): """ Sets the identifier of this TaskRun. Value can only contain upper case letters, underscore and numbers. It should begin with upper case letter or underscore. The value can be modified. :param identifier: The identifier of this TaskRun. :type: str """ self._identifier = identifier @property def metadata(self): """ Gets the metadata of this TaskRun. :return: The metadata of this TaskRun. :rtype: oci.data_integration.models.ObjectMetadata """ return self._metadata @metadata.setter def metadata(self, metadata): """ Sets the metadata of this TaskRun. :param metadata: The metadata of this TaskRun. :type: oci.data_integration.models.ObjectMetadata """ self._metadata = metadata @property def key_map(self): """ Gets the key_map of this TaskRun. A key map. If provided, key is replaced with generated key. This structure provides mapping between user provided key and generated key. :return: The key_map of this TaskRun. :rtype: dict(str, str) """ return self._key_map @key_map.setter def key_map(self, key_map): """ Sets the key_map of this TaskRun. A key map. If provided, key is replaced with generated key. This structure provides mapping between user provided key and generated key. :param key_map: The key_map of this TaskRun. :type: dict(str, str) """ self._key_map = key_map def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other

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74c93ec778e6f2115d37da29c96d96d36fd726a2

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py

Python

code/ml/gptheano/vecgpdm/test.py

dmytrov/gaussianprocess

7044bd2d66f44e10656fee17e94fdee0c24c70bb

[ "MIT" ]

null

code/ml/gptheano/vecgpdm/test.py

dmytrov/gaussianprocess

7044bd2d66f44e10656fee17e94fdee0c24c70bb

[ "MIT" ]

null

code/ml/gptheano/vecgpdm/test.py

dmytrov/gaussianprocess

7044bd2d66f44e10656fee17e94fdee0c24c70bb

[ "MIT" ]

null

import os import numpy as np import matplotlibex as plx import numerical.numpytheano.theanopool as tp import ml.gptheano.vecgpdm.multiprimitivemodel as mdl import ml.gptheano.vecgpdm.kernels as krn import ml.gptheano.vecgpdm.equations as vceq import numerical.numpytheano as nt import matplotlibex.mlplot as plx def generate_y(t, fs): return np.vstack([ np.vstack([5.0*np.sin(f*t+0.0), 5.0*np.sin(f*t+3.5), 4.1*np.sin(f*t+0.4), 4.1*np.sin(f*t+2.8), 3.1*np.sin(f*t+0.4), 3.1*np.sin(f*t+3.8), 2.1*np.sin(f*t+0.4), 2.1*np.sin(f*t+4.8)]) for f in fs]).T if __name__ == "__main__": t = np.linspace(0.0, 3.1*2*np.pi, num=600) y1 = generate_y(t, fs=[1.0, 3.14, 1.0]) y2 = generate_y(t, fs=[1.0, 1.0, 3.14]) y3 = generate_y(t, fs=[1.0, 3.14, 3.14]) np.random.seed(0) y = [y1 + 0.2*np.reshape(np.random.normal(size=y1.size), y1.shape), y2 + 0.2*np.reshape(np.random.normal(size=y2.size), y2.shape) + 1.0, y3 + 0.2*np.reshape(np.random.normal(size=y3.size), y3.shape) + 2.0, ] #ns = tp.NumpyVarPool() ns = tp.TheanoVarPool() lvm_kern_type = krn.RBF_ARD_Kernel dyn_kern_type = krn.RBF_ARD_Kernel_noscale dataset = mdl.Dataset(lvm_kern_type=lvm_kern_type, dyn_kern_type=dyn_kern_type, observed_mean_mode=mdl.ObservedMeanMode.per_part, ns=ns) pt_1 = dataset.create_part_type("1", y_indexes=range(0, 8), Q=2, M=10) pt_2 = dataset.create_part_type("2", y_indexes=range(8, 16), Q=2, M=10) pt_3 = dataset.create_part_type("3", y_indexes=range(16, 24), Q=2, M=10) mpt_sin_1 = dataset.create_mp_type("sin", pt_1) mpt_sin_2 = dataset.create_mp_type("sin", pt_2) mpt_sin_3 = dataset.create_mp_type("sin", pt_3) mpt_up_1 = dataset.create_mp_type("up", pt_1) mpt_up_2 = dataset.create_mp_type("up", pt_2) mpt_up_3 = dataset.create_mp_type("up", pt_3) start = 100 end = 500 trial1 = dataset.create_trial(Y=y[0], learning_mode=mdl.LearningMode.full) trial1.add_segment(mdl.MPSegment(mp_type=mpt_sin_1, start=start, end=end)) trial1.add_segment(mdl.MPSegment(mp_type=mpt_up_2, start=start, end=end)) trial1.add_segment(mdl.MPSegment(mp_type=mpt_sin_3, start=start, end=end)) trial2 = dataset.create_trial(Y=y[1], learning_mode=mdl.LearningMode.full) trial2.add_segment(mdl.MPSegment(mp_type=mpt_sin_1, start=start, end=end)) trial2.add_segment(mdl.MPSegment(mp_type=mpt_sin_2, start=start, end=end)) trial2.add_segment(mdl.MPSegment(mp_type=mpt_up_3, start=start, end=end)) trial3 = dataset.create_trial(Y=y[2], learning_mode=mdl.LearningMode.limited) trial3.add_segment(mdl.MPSegment(mp_type=mpt_sin_1, start=start, end=end)) trial3.add_segment(mdl.MPSegment(mp_type=mpt_up_2, start=start, end=end)) trial3.add_segment(mdl.MPSegment(mp_type=mpt_up_3, start=start, end=end)) dataset.init_pieces() dataset.init_x() dataset.init_aug_z(dyn_M=20) dataset.init_psi_stats() directory = "test" if not os.path.exists(directory): os.makedirs(directory) steps = [1, 2, 3, 4] for step in steps: if step == 1: elbo_mode = vceq.ELBOMode.separate_dynamics dataset.init_elbo(elbo_mode) print("ELBO: {}".format(dataset.get_elbo_value())) dataset.precalc_posterior_predictive() mdl.save_plot_latent_space(dataset, directory, "initial") mdl.optimize_blocked(dataset, niterations=5, maxiter=300, print_vars=True, save_directory=directory) dataset.save_state_to(directory + "/step_1.pkl") elif step == 2: dataset.load_state_from(directory + "/step_1.pkl") elbo_mode = vceq.ELBOMode.couplings_only dataset.init_elbo(elbo_mode) print("ELBO: {}".format(dataset.get_elbo_value())) mdl.optimize_blocked(dataset, maxiter=300, print_vars=True, save_directory=directory) dataset.save_state_to(directory + "/step_2.pkl") elif step == 3: dataset.load_state_from(directory + "/step_2.pkl") elbo_mode = vceq.ELBOMode.couplings_only dataset.init_elbo(elbo_mode) dataset.precalc_posterior_predictive() #mps = [mpt_sin_1, mpt_up_2, mpt_sin_3] mps = [mpt_sin_1, mpt_up_2, mpt_up_3] x_path = dataset.run_generative_dynamics(mps, nsteps=100) y_path = dataset.lvm_map_to_observed(mps, x_path) mdl.save_plot_piece_posterior_predictive(dataset, mps, directory) mdl.save_plot_latent_space(dataset, directory, "final_3") mdl.save_plot_latent_vs_generated(dataset, mps, directory, "final_3") mdl.save_plot_training_vs_generated(dataset, mps, directory, "final_3") elif step == 4: dataset.load_state_from(directory + "/step_2.pkl") elbo_mode = vceq.ELBOMode.full dataset.init_elbo(elbo_mode) dataset.precalc_posterior_predictive() #mps = [mpt_sin_1, mpt_sin_2, mpt_up_3] mps = [mpt_sin_1, mpt_up_2, mpt_sin_3] x_path = dataset.run_generative_dynamics(mps, nsteps=100) y_path = dataset.lvm_map_to_observed(mps, x_path) mdl.save_plot_piece_posterior_predictive(dataset, mps, directory) mdl.save_plot_latent_space(dataset, directory, "final_4") mdl.save_plot_latent_vs_generated(dataset, mps, directory, "final_4") mdl.save_plot_training_vs_generated(dataset, mps, directory, "final_4")

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null

0

1

0

1

74ce4a0df4da03c89539d9d88b200fbc9f5506a3

993

py

Python

application/__init__.py

UniversidadeDeVassouras/labproginter-2020.2-PedroHenriqueVasconcelos-t2

1ea78c16ada65da602de38b04ca741711734dc96

[ "Apache-2.0" ]

null

application/__init__.py

UniversidadeDeVassouras/labproginter-2020.2-PedroHenriqueVasconcelos-t2

1ea78c16ada65da602de38b04ca741711734dc96

[ "Apache-2.0" ]

null

application/__init__.py

UniversidadeDeVassouras/labproginter-2020.2-PedroHenriqueVasconcelos-t2

1ea78c16ada65da602de38b04ca741711734dc96

[ "Apache-2.0" ]

null

from flask import Flask import os from application.model.entity.aula import Aula from application.model.entity.disciplina import Disciplina app = Flask(__name__, static_folder=os.path.abspath("application/view/static"), template_folder=os.path.abspath("application/view/templates")) aula1 = Aula(1, "Aula 1", "Introdução ao Linux", "Sistemas Operacionais") aula2 = Aula(2, "Aula 1", "Introdução ao grid layout e flexbox", "Interface com Usuário") aula3 = Aula(3, "Aula 2", "Introdução ao Windows", "Sistemas Operacionais") aula4 = Aula(4, "Aula 2", "Práticas com CSS 3", "Interface com Usuário") todas_aulas = [aula1, aula2, aula3, aula4] disciplina1 = Disciplina(1, "Sistemas Operacionais", "Felipe Melo", 4, [aula1, aula3]) disciplina2 = Disciplina(2, "Interface com Usuário", "Tássio Auad", 4, [aula2, aula4]) todas_disciplinas = [disciplina1, disciplina2] from application.controller import home_controller from application.controller import disciplina_controller

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null

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74d36a11253d7812de977142377470e5b81ffeb2

522

py

Python

tractseg/experiments/endings_seg.py

jelleman8/TractSeg

2a42efe6016141f3a32d46c8f509758302c5875b

[ "Apache-2.0" ]

1

2020-06-07T09:36:46.000Z

tractseg/experiments/endings_seg.py

jelleman8/TractSeg

2a42efe6016141f3a32d46c8f509758302c5875b

[ "Apache-2.0" ]

null

tractseg/experiments/endings_seg.py

jelleman8/TractSeg

2a42efe6016141f3a32d46c8f509758302c5875b

[ "Apache-2.0" ]

null

from tractseg.experiments.base import Config as BaseConfig class Config(BaseConfig): EXPERIMENT_TYPE = "endings_segmentation" CLASSES = "All_endpoints" LOSS_WEIGHT = 5 LOSS_WEIGHT_LEN = -1 # BATCH_SIZE = 30 # for all 72 (=144) classes we need smaller batch size because of memory limit BATCH_SIZE = 28 # Using torch 1.0 batch_size had to be still fit in memory FEATURES_FILENAME = "12g90g270g_CSD_BX" NUM_EPOCHS = 150 # easily enough if using plateau LR schedule

26.1

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null

0

null

0

1

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1

74d41a0f44d86a7b2cb92a7609690c034a52e6af

1,844

py

Python

putput/presets/factory.py

cicorias/putput

96bde3c2219070bfed1ca76d47a4fe7cd0bc4b44

[ "MIT" ]

1

2019-01-17T07:45:43.000Z

putput/presets/factory.py

cicorias/putput

96bde3c2219070bfed1ca76d47a4fe7cd0bc4b44

[ "MIT" ]

1

2019-01-17T07:47:04.000Z

putput/presets/factory.py

cicorias/putput

96bde3c2219070bfed1ca76d47a4fe7cd0bc4b44

[ "MIT" ]

null

from typing import Callable from putput.presets import displaCy from putput.presets import iob2 from putput.presets import luis from putput.presets import stochastic def get_preset(preset: str) -> Callable: """A factory that gets a 'preset' Callable. Args: preset: the preset's name. Returns: The return value of calling a preset's 'preset' function without arguments. Examples: >>> from pathlib import Path >>> from putput.pipeline import Pipeline >>> pattern_def_path = Path(__file__).parent.parent.parent / 'tests' / 'doc' / 'example_pattern_definition.yml' >>> dynamic_token_patterns_map = {'ITEM': ('fries',)} >>> p = Pipeline.from_preset('IOB2', ... pattern_def_path, ... dynamic_token_patterns_map=dynamic_token_patterns_map) >>> generator = p.flow(disable_progress_bar=True) >>> for utterance, tokens, groups in generator: ... print(utterance) ... print(tokens) ... print(groups) ... break can she get fries can she get fries and fries ('B-ADD I-ADD I-ADD', 'B-ITEM', 'B-ADD I-ADD I-ADD', 'B-ITEM', 'B-CONJUNCTION', 'B-ITEM') ('B-ADD_ITEM I-ADD_ITEM I-ADD_ITEM I-ADD_ITEM', 'B-ADD_ITEM I-ADD_ITEM I-ADD_ITEM I-ADD_ITEM', 'B-None', 'B-None') """ supported_presets = ('IOB2', 'DISPLACY', 'LUIS', 'STOCHASTIC') if preset == 'IOB2': return iob2.preset() if preset == 'DISPLACY': return displaCy.preset() if preset == 'LUIS': return luis.preset() if preset == 'STOCHASTIC': # pragma: no cover return stochastic.preset() raise ValueError('Unrecoginzed preset. Please choose from the supported presets: {}'.format(supported_presets))

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null

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null

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1

74d42683a6db7d7fd07c3575b8cbc1f38ea019f1

1,273

py

Python

profilesapi/serializers.py

farbodgerami/profilerestapi

8ccd42b4b6aff2d7a302d0301be08854fb5cce45

[ "MIT" ]

null

profilesapi/serializers.py

farbodgerami/profilerestapi

8ccd42b4b6aff2d7a302d0301be08854fb5cce45

[ "MIT" ]

null

profilesapi/serializers.py

farbodgerami/profilerestapi

8ccd42b4b6aff2d7a302d0301be08854fb5cce45

[ "MIT" ]

null

from rest_framework import serializers from .models import UserProfile from profilesapi import models class helloserializer(serializers.Serializer): name = serializers.CharField(max_length=15) class UserProfileserializer(serializers.ModelSerializer): class Meta: model = UserProfile # fields='__all__' # oonai ke mikhaim namayesh dade beshe fields = ('id', 'email', 'name', 'password') extra_kwargs = { 'password': { 'write_only': True, 'style': {'input_type': 'password'} } } def create(self, validated_data): """create and return a new user""" """it overrides the create functino""" user = UserProfile.objects.create_user( email=validated_data['email'], name=validated_data['name'], password=validated_data['password'] ) return user class profilefeeditemserializer(serializers.ModelSerializer): """serializers profile feed items""" class Meta: model = models.profilefeeditem fields = ('id', 'userprofile', 'statustext', 'createdon') extra_kwargs = { 'userprofile': { 'read_only': True, } }

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null

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null

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0

1

74d6177d2881f21b08bc1ebf5e156825688392d8

1,456

py

Python

consumers/venv/lib/python3.7/site-packages/faust/types/assignor.py

spencerpomme/Public-Transit-Status-with-Apache-Kafka

2c85d7daadf4614fe7ce2eabcd13ff87236b1c7e

[ "MIT" ]

null

consumers/venv/lib/python3.7/site-packages/faust/types/assignor.py

spencerpomme/Public-Transit-Status-with-Apache-Kafka

2c85d7daadf4614fe7ce2eabcd13ff87236b1c7e

[ "MIT" ]

null

consumers/venv/lib/python3.7/site-packages/faust/types/assignor.py

spencerpomme/Public-Transit-Status-with-Apache-Kafka

2c85d7daadf4614fe7ce2eabcd13ff87236b1c7e

[ "MIT" ]

null

import abc import typing from typing import List, MutableMapping, Set from mode import ServiceT from yarl import URL from .tuples import TP if typing.TYPE_CHECKING: from .app import AppT as _AppT else: class _AppT: ... # noqa __all__ = [ 'TopicToPartitionMap', 'HostToPartitionMap', 'PartitionAssignorT', 'LeaderAssignorT', ] TopicToPartitionMap = MutableMapping[str, List[int]] HostToPartitionMap = MutableMapping[str, TopicToPartitionMap] class PartitionAssignorT(abc.ABC): replicas: int app: _AppT @abc.abstractmethod def __init__(self, app: _AppT, replicas: int = 0) -> None: ... @abc.abstractmethod def group_for_topic(self, topic: str) -> int: ... @abc.abstractmethod def assigned_standbys(self) -> Set[TP]: ... @abc.abstractmethod def assigned_actives(self) -> Set[TP]: ... @abc.abstractmethod def is_active(self, tp: TP) -> bool: ... @abc.abstractmethod def is_standby(self, tp: TP) -> bool: ... @abc.abstractmethod def key_store(self, topic: str, key: bytes) -> URL: ... @abc.abstractmethod def table_metadata(self, topic: str) -> HostToPartitionMap: ... @abc.abstractmethod def tables_metadata(self) -> HostToPartitionMap: ... class LeaderAssignorT(ServiceT): app: _AppT @abc.abstractmethod def is_leader(self) -> bool: ...

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null

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1

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null

0

1

74d87e0b37acbf34d04b4a8b0edf22298797772c

8,403

py

Python

tests/utils/test_events.py

nox237/CTFd

ff6e093fa6bf23b526ecddf9271195b429240ff4

[ "Apache-2.0" ]

3,592

2017-03-12T19:44:07.000Z

2022-03-30T16:03:33.000Z

tests/utils/test_events.py

nox237/CTFd

ff6e093fa6bf23b526ecddf9271195b429240ff4

[ "Apache-2.0" ]

1,648

2017-03-12T23:44:34.000Z

2022-03-31T15:28:38.000Z

tests/utils/test_events.py

nox237/CTFd

ff6e093fa6bf23b526ecddf9271195b429240ff4

[ "Apache-2.0" ]

1,736

2017-03-13T14:01:28.000Z

2022-03-31T08:14:24.000Z

from collections import defaultdict from queue import Queue from unittest.mock import patch from redis.exceptions import ConnectionError from CTFd.config import TestingConfig from CTFd.utils.events import EventManager, RedisEventManager, ServerSentEvent from tests.helpers import create_ctfd, destroy_ctfd, login_as_user, register_user def test_event_manager_installed(): """Test that EventManager is installed on the Flask app""" app = create_ctfd() assert type(app.events_manager) == EventManager destroy_ctfd(app) def test_event_manager_subscription(): """Test that EventManager subscribing works""" with patch.object(Queue, "get") as fake_queue: saved_data = { "user_id": None, "title": "asdf", "content": "asdf", "team_id": None, "user": None, "team": None, "date": "2019-01-28T01:20:46.017649+00:00", "id": 10, } saved_event = {"type": "notification", "data": saved_data} fake_queue.return_value = saved_event event_manager = EventManager() events = event_manager.subscribe() message = next(events) assert isinstance(message, ServerSentEvent) assert message.to_dict() == {"data": "", "type": "ping"} assert message.__str__().startswith("event:ping") assert len(event_manager.clients) == 1 message = next(events) assert isinstance(message, ServerSentEvent) assert message.to_dict() == saved_event assert message.__str__().startswith("event:notification\ndata:") assert len(event_manager.clients) == 1 def test_event_manager_publish(): """Test that EventManager publishing to clients works""" saved_data = { "user_id": None, "title": "asdf", "content": "asdf", "team_id": None, "user": None, "team": None, "date": "2019-01-28T01:20:46.017649+00:00", "id": 10, } event_manager = EventManager() q = defaultdict(Queue) event_manager.clients[id(q)] = q event_manager.publish(data=saved_data, type="notification", channel="ctf") event = event_manager.clients[id(q)]["ctf"].get() event = ServerSentEvent(**event) assert event.data == saved_data def test_event_endpoint_is_event_stream(): """Test that the /events endpoint is text/event-stream""" app = create_ctfd() with patch.object(Queue, "get") as fake_queue: saved_data = { "user_id": None, "title": "asdf", "content": "asdf", "team_id": None, "user": None, "team": None, "date": "2019-01-28T01:20:46.017649+00:00", "id": 10, } saved_event = {"type": "notification", "data": saved_data} fake_queue.return_value = saved_event with app.app_context(): register_user(app) with login_as_user(app) as client: r = client.get("/events") assert "text/event-stream" in r.headers["Content-Type"] destroy_ctfd(app) def test_redis_event_manager_installed(): """Test that RedisEventManager is installed on the Flask app""" class RedisConfig(TestingConfig): REDIS_URL = "redis://localhost:6379/1" CACHE_REDIS_URL = "redis://localhost:6379/1" CACHE_TYPE = "redis" try: app = create_ctfd(config=RedisConfig) except ConnectionError: print("Failed to connect to redis. Skipping test.") else: with app.app_context(): assert isinstance(app.events_manager, RedisEventManager) destroy_ctfd(app) def test_redis_event_manager_subscription(): """Test that RedisEventManager subscribing works.""" class RedisConfig(TestingConfig): REDIS_URL = "redis://localhost:6379/2" CACHE_REDIS_URL = "redis://localhost:6379/2" CACHE_TYPE = "redis" try: app = create_ctfd(config=RedisConfig) except ConnectionError: print("Failed to connect to redis. Skipping test.") else: with app.app_context(): saved_data = { "user_id": None, "title": "asdf", "content": "asdf", "team_id": None, "user": None, "team": None, "date": "2019-01-28T01:20:46.017649+00:00", "id": 10, } saved_event = {"type": "notification", "data": saved_data} with patch.object(Queue, "get") as fake_queue: fake_queue.return_value = saved_event event_manager = RedisEventManager() events = event_manager.subscribe() message = next(events) assert isinstance(message, ServerSentEvent) assert message.to_dict() == {"data": "", "type": "ping"} assert message.__str__().startswith("event:ping") message = next(events) assert isinstance(message, ServerSentEvent) assert message.to_dict() == saved_event assert message.__str__().startswith("event:notification\ndata:") destroy_ctfd(app) def test_redis_event_manager_publish(): """Test that RedisEventManager publishing to clients works.""" class RedisConfig(TestingConfig): REDIS_URL = "redis://localhost:6379/3" CACHE_REDIS_URL = "redis://localhost:6379/3" CACHE_TYPE = "redis" try: app = create_ctfd(config=RedisConfig) except ConnectionError: print("Failed to connect to redis. Skipping test.") else: with app.app_context(): saved_data = { "user_id": None, "title": "asdf", "content": "asdf", "team_id": None, "user": None, "team": None, "date": "2019-01-28T01:20:46.017649+00:00", "id": 10, } event_manager = RedisEventManager() event_manager.publish(data=saved_data, type="notification", channel="ctf") destroy_ctfd(app) def test_redis_event_manager_listen(): """Test that RedisEventManager listening pubsub works.""" # This test is nob currently working properly # This test is sort of incomplete b/c we aren't also subscribing # I wasnt able to get listening and subscribing to work at the same time # But the code does work under gunicorn and serve.py try: # import importlib # from gevent.monkey import patch_time, patch_socket # from gevent import Timeout # patch_time() # patch_socket() class RedisConfig(TestingConfig): REDIS_URL = "redis://localhost:6379/4" CACHE_REDIS_URL = "redis://localhost:6379/4" CACHE_TYPE = "redis" try: app = create_ctfd(config=RedisConfig) except ConnectionError: print("Failed to connect to redis. Skipping test.") else: with app.app_context(): # saved_event = { # "data": { # "team_id": None, # "user_id": None, # "content": "asdf", # "title": "asdf", # "id": 1, # "team": None, # "user": None, # "date": "2020-08-31T23:57:27.193081+00:00", # "type": "toast", # "sound": None, # }, # "type": "notification", # } event_manager = RedisEventManager() # def disable_retry(f, *args, **kwargs): # return f() # with patch("tenacity.retry", side_effect=disable_retry): # with Timeout(10): # event_manager.listen() event_manager.listen() # event_manager.publish( # data=saved_event["data"], type="notification", channel="ctf" # ) destroy_ctfd(app) finally: pass # import socket # import time # importlib.reload(socket) # importlib.reload(time)

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0.187879

0.024242

0

null

0

1

0

null

0

1

74dacdf39663c95dee29152f69fb689022586231

940

py

Python

graphene_django_jwt/schema/middleware.py

Speedy1991/graphene-django-jwt

d5a09785fdda31328e6a6dbdbbdf3436c9275435

[ "MIT" ]

null

graphene_django_jwt/schema/middleware.py

Speedy1991/graphene-django-jwt

d5a09785fdda31328e6a6dbdbbdf3436c9275435

[ "MIT" ]

null

graphene_django_jwt/schema/middleware.py

Speedy1991/graphene-django-jwt

d5a09785fdda31328e6a6dbdbbdf3436c9275435

[ "MIT" ]

null

from django.contrib.auth.models import AnonymousUser from graphene_django_jwt.blacklist import Blacklist from graphene_django_jwt.shortcuts import get_user_by_token from graphene_django_jwt.utils import get_credentials, get_payload def _load_user(request): token = get_credentials(request) if token is not None: refresh_token = get_payload(token)['refresh_token'] if Blacklist.is_blacklisted(refresh_token): return None return get_user_by_token(token) class JSONWebTokenMiddleware: def __init__(self, *args, **kwargs): self._skip = False def resolve(self, next, root, info, **kwargs): if self._skip: return next(root, info, **kwargs) if not info.context.user.is_authenticated: user = _load_user(info.context) info.context.user = user or AnonymousUser() self._skip = True return next(root, info, **kwargs)

31.333333

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null

0

null

0

1

0

1

74edb93d9d0f36c2269aab0e11e28b72cbcd34f1

6,327

py

Python

src/pwnbot.py

jtorres-dev/discord_ctfbot

c4063e7b495a7096ff4e43e1c7bf39111f3ab401

[ "MIT" ]

2

2021-07-18T10:06:09.000Z

2021-11-10T17:17:16.000Z

src/pwnbot.py

jtorres-dev/discord_ctfbot

c4063e7b495a7096ff4e43e1c7bf39111f3ab401

[ "MIT" ]

null

src/pwnbot.py

jtorres-dev/discord_ctfbot

c4063e7b495a7096ff4e43e1c7bf39111f3ab401

[ "MIT" ]

1

2022-02-16T20:19:31.000Z

import discord import ctftime import os import random from discord.ext import commands, tasks from datetime import datetime # Token generated from https://discord.com/developers/applications # Keep this private, if exposed generate new one TOKEN = '' # Bot channel ID was grabbed from Settings > Appearance > Developer Mode (On). Afterwards, right click on desired channel to copy ID BOT_CHANNEL = 0 bot = commands.Bot(command_prefix = '!') # When bot is ready @bot.event async def on_ready(): print('Starting loop task') update_channel.start() print('pwnbot is now ready for commands.') @bot.event async def on_command_error(ctx, error): if isinstance(error, commands.errors.CommandNotFound): await ctx.send(':robot: *That command does not exist.\nTry:* `!help`') return raise error # removes default help command bot.remove_command('help'); # contex is passed in automatically @bot.command() async def help(ctx): await ctx.send( '```\n' + '---------------------------------- Help ----------------------------------\n\n' + 'Usage: !<command>\n\n' + 'Event Commands:\n' + ' * !events - Displays ongoing ctf events within the week.\n' + ' * !events all - Displays ctf events for the past and next week.\n' + ' * !events next - Displays upcoming ctf events for next week.\n' + ' * !events past - Displays finished ctf events from the past week.\n\n' + 'Clear Commands:\n' + ' * !clear - Clears the last 20 messages from pwnbot in current channel.\n' + ' * !clear all - Clears all messages from pwnbot in current channel.\n' + ' * !clear last - Clears last message from pwnbot in current channel.\n\n' + 'Util Commands:\n' + ' * !ping - Checks the latency for pwnbot with date/time\n\n' + 'Misc Commands:\n' + ' * !celebrate - Celebration!!\n' + ' * !facepalm - Sometimes you just have to facepalm ...\n\n' + '--------------------------------------------------------------------------\n' + '```' ) @bot.command() async def events(ctx, arg=None): embed_msgs = [] current_time = int(datetime.now().timestamp()) SEVEN_DAYS = ctftime.days_to_secs(7) if arg == 'all': start = current_time - SEVEN_DAYS finish = current_time + SEVEN_DAYS # checks previous json events to see if its the same as the newly fetched events embed_msgs = ctftime.get_events(start, finish) # if there are new events, embed the new events and send to current channel if len(embed_msgs) == 0: await ctx.send(':robot: *There are no events happening from last week to next week.*') return elif arg == 'next': start = current_time finish = current_time + SEVEN_DAYS embed_msgs = ctftime.get_events(start, finish, status='upcoming') if len(embed_msgs) == 0: await ctx.send(':robot: *There are no upcoming events next week.*') return elif arg == 'past': start = current_time - SEVEN_DAYS finish = current_time embed_msgs = ctftime.get_events(start, finish, status='finished') if len(embed_msgs) == 0: await ctx.send(':robot: *There are no finished events from last week.*') return else: start = current_time - SEVEN_DAYS finish = current_time + SEVEN_DAYS embed_msgs = ctftime.get_events(start, finish, status='update') if len(embed_msgs) == 0: await ctx.send(':robot: **There are no ongoing events.**') return for embed in embed_msgs: await ctx.send(embed=embed) @bot.command() async def clear(ctx, arg=None): if arg == 'all': await ctx.channel.purge(limit=200, check=is_bot) if arg == 'last': await ctx.channel.purge(limit=1, check=is_bot) else: await ctx.channel.purge(limit=20, check=is_bot) @bot.command() async def ping(ctx): await ctx.send(f"Pong!\n[**{round(bot.latency * 1000)}ms**]: *Current date/time: {datetime.now()}*") @bot.command() async def celebrate(ctx): await ctx.send('\o/ :confetti_ball: :tada:') @bot.command() async def facepalm(ctx): await ctx.send(':man_facepalming:') @bot.command() async def pwnbot(ctx): #-5 removes #0000 at the end of username for discord user = str(ctx.author)[:-5] responses = [ f"*Oh my! You caught me by surprise! How can I help, {user}?*", f"**BRUTEFORCE!**", f"*get pwned {user}* :computer:", f"*You must be bored. Check out: `!events` for current ctf events :robot:*", f"*pwnbot at your service!*", f"!{user}", f"*-thinks of a quirky comment-*", f"*What do you want?*", f"*-currently sleeping-*", f"*At your service, {user}!*", f"*'UNO is the best'* -pwnbot 2020", f":robot: ||*NTk2Zjc1MjA2ZDc1NzM3NDIwNjI2NTIwNzY2NTcyNzkyMDYzNmM2NTc2NjU3MjJlMjA0ZDc5MjA2ZTYxNmQ2NTIwNjk3MzIwNzA3NzZlNjI2Zjc0MjEyMDNhMjkK*||", f"*Beware of this command!! :robot:*", f"*Ah yes, some human interaction. How can I assist you?*" ] await ctx.send(random.choice(responses)) # checks if message is from bot or a command to bot. helper for clear command def is_bot(msg): return msg.author == bot.user or msg.content[0] == '!' def diff_events(curr, prev): if len(curr) != len(prev): return True for curr_event, prev_event in zip(curr, prev): if curr_event.title != prev_event.title: return True return False # sends update to #bot-channel with embedded new events. if events are the same as the old update, # dont update. checks every 30 minutes for new content prev_update = '' bot_msg = '' @tasks.loop(minutes=30) async def update_channel(): channel = bot.get_channel(BOT_CHANNEL) SEVEN_DAYS = ctftime.days_to_secs(7) current_time = int(datetime.now().timestamp()) start = current_time - SEVEN_DAYS finish = current_time + SEVEN_DAYS curr_events = ctftime.get_events(start, finish, status='update') # prev_events is used to self check bot for new events global prev_update, bot_msg if prev_update == '' or diff_events(curr_events, prev_update): prev_update = curr_events if len(curr_events) == 0 and bot_msg == '': bot_msg = ':robot: *There are no ongoing/upcoming events. I will update this channel when I see new events.*' await channel.send(bot_msg) if curr_events != None: for embed in curr_events: await channel.send(embed=embed) bot_msg = '' bot.run(TOKEN)

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0.657974

893

6,327

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0.262038

0.027438

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0.039196

0.246693

0.202107

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0.105586

0

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0.013699

0

null

0

1

0

null

0

1

74f0b6c0862dce65538cbea19beab8636aa3411a

414

py

Python

store/urls.py

hardik1410/ShopEase

8d941cad662f8ed4bddab43f1ed486307f6654ff

[ "MIT" ]

null

store/urls.py

hardik1410/ShopEase

8d941cad662f8ed4bddab43f1ed486307f6654ff

[ "MIT" ]

null

store/urls.py

hardik1410/ShopEase

8d941cad662f8ed4bddab43f1ed486307f6654ff

[ "MIT" ]

4

2021-08-14T19:03:20.000Z

2022-03-31T20:58:05.000Z

from django.urls import path from django.conf.urls import url from store import views from .views import getStore, addStore, updateStore, deleteStore urlpatterns = [ url(r'getStore/', views.getStore), url(r'addStore/', views.addStore), url(r'updateStore/', views.updateStore), url(r'deleteStore/', views.deleteStore), url(r'getStoreByOwnerId/(?P<ownerId>[0-9]+)$', views.getStoreByOwnerId), ]

31.846154

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0

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414

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0

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0

null

0

null

0

1

0

1

74f1d9921e9f47ecc63831f5691a1c67010b6be9

1,727

py

Python

wwwhero/migrations/0006_auto_20210109_1311.py

IharSha/build_a_hero

4a0f0aa701c205d04edd6bc801707a73bcc210f2

[ "BSD-3-Clause" ]

null

wwwhero/migrations/0006_auto_20210109_1311.py

IharSha/build_a_hero

4a0f0aa701c205d04edd6bc801707a73bcc210f2

[ "BSD-3-Clause" ]

2

2021-01-08T11:53:33.000Z

2021-09-23T07:04:20.000Z

wwwhero/migrations/0006_auto_20210109_1311.py

IharSha/build_a_hero

4a0f0aa701c205d04edd6bc801707a73bcc210f2

[ "BSD-3-Clause" ]

null

# Generated by Django 3.1.4 on 2021-01-09 13:11 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('wwwhero', '0005_auto_20210106_1308'), ] operations = [ migrations.CreateModel( name='LocationType', fields=[ ('name', models.CharField(max_length=32, primary_key=True, serialize=False)), ], ), migrations.AlterField( model_name='characterselection', name='character', field=models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='wwwhero.character'), ), migrations.CreateModel( name='Location', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=64, unique=True)), ('image', models.ImageField(blank=True, upload_to='bg/location')), ('min_level', models.PositiveSmallIntegerField(default=1)), ('is_active', models.BooleanField(default=False)), ('type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='wwwhero.locationtype')), ], ), migrations.CreateModel( name='CharacterLocation', fields=[ ('character', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, primary_key=True, serialize=False, to='wwwhero.character')), ('location', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='wwwhero.location')), ], ), ]

39.25

156

0.599884

167

1,727

6.095808

0.42515

0.047151

0.068762

0.108055

0.378193

0.240668

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0

0.028391

0.265779

1,727

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157

40.162791

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0

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1

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1

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false

0

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0.135135

0

null

0

1

0

null

0

1

74f899e21e839972b7e9857acc8c5b5a51ab3347

1,824

py

Python

2009/scientific-computing/prax3/src/RLPrax2_2.py

rla/old-code

06aa69c3adef8434992410687d466dc42779e57b

[ "Ruby", "MIT" ]

2

2015-11-08T10:01:47.000Z

2020-03-10T00:00:58.000Z

2009/scientific-computing/prax3/src/RLPrax2_2.py

rla/old-code

06aa69c3adef8434992410687d466dc42779e57b

[ "Ruby", "MIT" ]

null

2009/scientific-computing/prax3/src/RLPrax2_2.py

rla/old-code

06aa69c3adef8434992410687d466dc42779e57b

[ "Ruby", "MIT" ]

null

# -*- coding: utf-8 -*- # Raivo Laanemets # rlaanemt@ut.ee import sys from Taring import Taring # Abiklass nelja täringuviske mängu simuleerimiseks. class GameSimulator: def __init__(self): # Täringute ettevalmistamine. self.t1 = Taring() self.t2 = Taring() self.t3 = Taring() self.t4 = Taring() # Viskab kõiki nelja täringut ja tagastab visete summa. def viskaTaringuid(self): return self.t1.viska() + self.t2.viska() + self.t3.viska()+ self.t4.viska() # Jooksutab simulatsiooni etteantud arv kordi. # Tagastab float-arvu, mis väljendab, mitu korda # soovitud tulemus tuli. def simulate(self, mange): voite = 0 for i in range(0, mange): if self.viskaTaringuid() < 9: voite += 1 return voite/float(mange) # Põhiprogramm. # Võtab argumendiks simulatsioonis kasutatava # mängukordade arvu ja väljastab tulemuse, kas # mängu on mõistlik mängida või mitte. def main(argv): manguMaksumus = 1.0 voiduPreemia = 10.0 mange = int(argv[0]) simulator = GameSimulator() voiduTn = simulator.simulate(mange) maksumusKokku = mange * manguMaksumus voiduPreemiaKokku = mange * voiduPreemia voiduPreemiaSimulatsioon = voiduPreemiaKokku * voiduTn print "Mängude arv: " + str(mange) print "Võidu tõenäosus: " + str(voiduTn) print "Mängude maksumus kokku: " + str(maksumusKokku) print "Maksimaalne võidupreemia (kõik mängud võidetud): " + str(voiduPreemiaKokku) print "Simulatsiooni võidupreemia: " + str(voiduPreemiaSimulatsioon) if maksumusKokku < voiduPreemiaSimulatsioon: print "Mängu on mõistlik mängida" else: print "Mängu ei ole mõistlik mängida" if __name__ == "__main__": main(sys.argv[1:])

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0

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null

0.194444

0

null

0

null

0

1

0

1

2d027dd1899fc456d6f79fdb25756da0442fe0e9

19,594

py

Python

tests/test_admin.py

douglatornell/randopony-tetra

258b0a8223b2a820d66b1a4d98eb0a54e07afa25

[ "BSD-3-Clause" ]

1

2020-06-30T18:56:22.000Z

tests/test_admin.py

douglatornell/randopony-tetra

258b0a8223b2a820d66b1a4d98eb0a54e07afa25

[ "BSD-3-Clause" ]

null

tests/test_admin.py

douglatornell/randopony-tetra

258b0a8223b2a820d66b1a4d98eb0a54e07afa25

[ "BSD-3-Clause" ]

null

"""Tests for RandoPony admin views and functionality. """ from datetime import datetime import unittest from unittest.mock import patch from pyramid import testing from pyramid_mailer import get_mailer from sqlalchemy import create_engine from randopony.models.meta import ( Base, DBSession, ) class TestCoreAdminViews(unittest.TestCase): """Unit tests for core admin interface views. """ def _get_target_class(self): from randopony.views.admin.core import AdminViews return AdminViews def _make_one(self, *args, **kwargs): return self._get_target_class()(*args, **kwargs) def setUp(self): self.config = testing.setUp() engine = create_engine('sqlite://') DBSession.configure(bind=engine) Base.metadata.create_all(engine) def tearDown(self): DBSession.remove() testing.tearDown() def test_home(self): """admin home view has expected template variables """ from randopony import __pkg_metadata__ as version request = testing.DummyRequest() admin = self._make_one(request) tmpl_vars = admin.home() self.assertEqual( tmpl_vars, {'version': version.number + version.release}) def test_wranglers_list(self): """admin wranglers view has expected template variables """ from randopony import __pkg_metadata__ as version request = testing.DummyRequest() request.matchdict['list'] = 'wranglers' admin = self._make_one(request) tmpl_vars = admin.items_list() self.assertEqual( tmpl_vars['version'], version.number + version.release) self.assertEqual(tmpl_vars['list'], 'wranglers') self.assertEqual(tmpl_vars['list_title'], 'Pony Wranglers') self.assertEqual(tmpl_vars['action'], 'edit') def test_wranglers_list_order(self): """admin wranglers list is alpha ordered by email """ from randopony.models import Administrator admin1 = Administrator(email='tom@example.com', password_hash='hash') admin2 = Administrator(email='harry@example.com', password_hash='hash') DBSession.add_all((admin1, admin2)) request = testing.DummyRequest() request.matchdict['list'] = 'wranglers' admin = self._make_one(request) tmpl_vars = admin.items_list() admins = [a.email for a in tmpl_vars['items'].all()] self.assertEqual( admins, 'harry@example.com tom@example.com'.split()) def test_delete_cancel(self): """admin delete cancel leaves item in database """ from randopony.models import Administrator admin = Administrator(email='tom@example.com', password_hash='hash') DBSession.add(admin) self.config.add_route('admin.list', '/admin/{list}/') request = testing.DummyRequest(post={'cancel': 'cancel'}) request.matchdict['list'] = 'wranglers' request.matchdict['item'] = 'tom@example.com' admin = self._make_one(request) admin.delete() wrangler = DBSession.query(Administrator).first() self.assertEqual(wrangler.email, 'tom@example.com') def test_delete_wrangler_confirmation(self): """admin delete confirmation view for wrangler has exp template vars """ from randopony import __pkg_metadata__ as version self.config.add_route('admin.list', '/admin/{list}/') request = testing.DummyRequest() request.matchdict['list'] = 'wranglers' request.matchdict['item'] = 'tom@example.com' admin = self._make_one(request) tmpl_vars = admin.delete() self.assertEqual( tmpl_vars, { 'version': version.number + version.release, 'list': 'wranglers', 'item': 'tom@example.com', 'item_type': 'administrator', }) def test_delete_wrangler(self): """admin delete for wrangler deletes item from database """ from sqlalchemy.orm.exc import NoResultFound from randopony.models import Administrator admin = Administrator(email='tom@example.com', password_hash='hash') DBSession.add(admin) self.config.add_route('admin.list', '/admin/{list}/') request = testing.DummyRequest(post={'delete': 'delete'}) request.matchdict['list'] = 'wranglers' request.matchdict['item'] = 'tom@example.com' admin = self._make_one(request) admin.delete() query = DBSession.query(Administrator) with self.assertRaises(NoResultFound): query.filter_by(email='tom@example.com').one() def test_delete_brevet(self): """admin delete for brevet deletes item from database """ from sqlalchemy.orm.exc import NoResultFound from randopony.models import core from randopony.models import Brevet brevet = Brevet( region='LM', distance=200, date_time=datetime(2012, 11, 11, 7, 0, 0), route_name='11th Hour', start_locn='Bean Around the World Coffee, Lonsdale Quay, ' '123 Carrie Cates Ct, North Vancouver', organizer_email='tracy@example.com', ) DBSession.add(brevet) self.config.add_route('admin.list', '/admin/{list}/') request = testing.DummyRequest(post={'delete': 'delete'}) request.matchdict['list'] = 'brevets' request.matchdict['item'] = str(brevet) with patch.object(core, 'datetime') as mock_datetime: mock_datetime.today.return_value = datetime(2012, 11, 1, 12, 55, 42) admin = self._make_one(request) admin.delete() with self.assertRaises(NoResultFound): Brevet.get_current().one() class TestEmailToOrganizer(unittest.TestCase): """Unit tests for email_to_organizer admin function re: event URLs. """ def _call_email_to_organizer(self, *args, **kwargs): from randopony.views.admin.core import email_to_organizer return email_to_organizer(*args, **kwargs) def setUp(self): from randopony.models import EmailAddress self.config = testing.setUp( settings={ 'mako.directories': 'randopony:templates', }) self.config.include('pyramid_mailer.testing') self.config.include('pyramid_mako') self.config.add_route( 'admin.populaires.view', '/admin/brevet/{item}') self.config.add_route( 'brevet', '/brevets/{region}/{distance}/{date}') self.config.add_route( 'brevet.rider_emails', '/brevets/{region}/{distance}/{date}/rider_emails/{uuid}') engine = create_engine('sqlite://') DBSession.configure(bind=engine) Base.metadata.create_all(engine) from_randopony = EmailAddress( key='from_randopony', email='randopony@randonneurs.bc.ca', ) admin_email = EmailAddress( key='admin_email', email='djl@douglatornell.ca', ) DBSession.add_all((from_randopony, admin_email)) def tearDown(self): DBSession.remove() testing.tearDown() def test_email_to_organizer_catches_missing_google_doc_id(self): """email_to_organizer return error flash if google_doc_id not set """ from randopony.models import Brevet brevet = Brevet( region='VI', distance=200, date_time=datetime(2013, 3, 3, 7, 0), route_name='Chilly 200', start_locn='Chez Croy, 3131 Millgrove St, Victoria', organizer_email='mcroy@example.com', registration_end=datetime(2013, 3, 2, 12, 0), ) DBSession.add(brevet) request = testing.DummyRequest() request.matchdict.update({ 'region': 'VI', 'distance': '200', 'date': '03Mar2013', }) date = '03Mar2013' event_page_url = request.route_url( 'brevet', region=brevet.region, distance=brevet.distance, date=date) rider_emails_url = request.route_url( 'brevet.rider_emails', region=brevet.region, distance=brevet.distance, date=date, uuid=brevet.uuid) flash = self._call_email_to_organizer( request, brevet, event_page_url, rider_emails_url) self.assertEqual( flash, [ 'error', 'Google Drive rider list must be created before email to ' 'organizer(s) can be sent' ]) def test_email_to_organizer_sends_email(self): """email_to_organizer sends message & sets expected flash message """ from randopony.models import Brevet brevet = Brevet( region='VI', distance=200, date_time=datetime(2013, 3, 3, 7, 0), route_name='Chilly 200', start_locn='Chez Croy, 3131 Millgrove St, Victoria', organizer_email='mcroy@example.com', registration_end=datetime(2013, 3, 2, 12, 0), google_doc_id='spreadsheet:1234', ) DBSession.add(brevet) request = testing.DummyRequest() request.matchdict.update({ 'region': 'VI', 'distance': '200', 'date': '03Mar2013', }) date = '03Mar2013' event_page_url = request.route_url( 'brevet', region=brevet.region, distance=brevet.distance, date=date) rider_emails_url = request.route_url( 'brevet.rider_emails', region=brevet.region, distance=brevet.distance, date=date, uuid=brevet.uuid) mailer = get_mailer(request) flash = self._call_email_to_organizer( request, brevet, event_page_url, rider_emails_url) self.assertEqual(len(mailer.outbox), 1) self.assertEqual( flash, ['success', 'Email sent to VI200 03Mar2013 organizer(s)']) def test_email_to_organizer_message(self): """email_to_organizer message has expected content """ from randopony.models import ( EmailAddress, Brevet, ) brevet = Brevet( region='VI', distance=200, date_time=datetime(2013, 3, 3, 7, 0), route_name='Chilly 200', start_locn='Chez Croy, 3131 Millgrove St, Victoria', organizer_email='mcroy@example.com', registration_end=datetime(2013, 3, 2, 12, 0), google_doc_id='spreadsheet:123' ) DBSession.add(brevet) request = testing.DummyRequest() request.matchdict.update({ 'region': 'VI', 'distance': '200', 'date': '03Mar2013', }) date = '03Mar2013' event_page_url = request.route_url( 'brevet', region=brevet.region, distance=brevet.distance, date=date) rider_emails_url = request.route_url( 'brevet.rider_emails', region=brevet.region, distance=brevet.distance, date=date, uuid=brevet.uuid) mailer = get_mailer(request) self._call_email_to_organizer( request, brevet, event_page_url, rider_emails_url) msg = mailer.outbox[0] self.assertEqual(msg.subject, 'RandoPony URLs for VI200 03Mar2013') from_randopony = ( DBSession.query(EmailAddress) .filter_by(key='from_randopony').first().email) self.assertEqual(msg.sender, from_randopony) self.assertEqual(msg.recipients, ['mcroy@example.com']) self.assertIn( 'The URL is <http://example.com/brevets/VI/200/03Mar2013>.', msg.body) self.assertIn( 'rider list URL is <https://spreadsheets.google.com/ccc?key=123>.', msg.body) self.assertIn( 'email address list URL is <http://example.com/brevets/' 'VI/200/03Mar2013/rider_emails/' 'ba8e8e00-dd42-5c6c-9b30-b65ce9c8df26>.', msg.body) self.assertIn( 'Pre-registration on the pony closes at 12:00 on 2013-03-02', msg.body) self.assertIn('send email to <djl@douglatornell.ca>.', msg.body) def test_email_to_organizer_multi_organizer(self): """email to organizer has expected to list for multi-organizer event """ from randopony.models import Brevet brevet = Brevet( region='VI', distance=200, date_time=datetime(2013, 3, 3, 7, 0), route_name='Chilly 200', start_locn='Chez Croy, 3131 Millgrove St, Victoria', organizer_email='mjansson@example.com, mcroy@example.com', registration_end=datetime(2013, 3, 2, 12, 0), google_doc_id='spreadsheet:1234' ) DBSession.add(brevet) request = testing.DummyRequest() request.matchdict.update({ 'region': 'VI', 'distance': '200', 'date': '03Mar2013', }) date = '03Mar2013' event_page_url = request.route_url( 'brevet', region=brevet.region, distance=brevet.distance, date=date) rider_emails_url = request.route_url( 'brevet.rider_emails', region=brevet.region, distance=brevet.distance, date=date, uuid=brevet.uuid) mailer = get_mailer(request) self._call_email_to_organizer( request, brevet, event_page_url, rider_emails_url) msg = mailer.outbox[0] self.assertEqual( msg.recipients, ['mjansson@example.com', 'mcroy@example.com']) class TestEmailToWebmaster(unittest.TestCase): """Unit tests for email_to_webmaster admin function re: event page URL. """ def _call_email_to_webmaster(self, *args, **kwargs): from randopony.views.admin.core import email_to_webmaster return email_to_webmaster(*args, **kwargs) def setUp(self): from randopony.models import EmailAddress self.config = testing.setUp( settings={ 'mako.directories': 'randopony:templates', }) self.config.include('pyramid_mailer.testing') self.config.include('pyramid_mako') self.config.add_route( 'admin.populaires.view', '/admin/populaire/{item}') self.config.add_route( 'populaire', '/populaires/{short_name}') engine = create_engine('sqlite://') DBSession.configure(bind=engine) Base.metadata.create_all(engine) from_randopony = EmailAddress( key='from_randopony', email='randopony@randonneurs.bc.ca', ) club_webmaster = EmailAddress( key='club_webmaster', email='webmaster@randonneurs.bc.ca', ) admin_email = EmailAddress( key='admin_email', email='djl@douglatornell.ca', ) DBSession.add_all((from_randopony, club_webmaster, admin_email)) def tearDown(self): DBSession.remove() testing.tearDown() def test_email_to_webmaster_sends_email(self): """email_to_webmaster sends message & sets expected flash message """ from randopony.models import Populaire populaire = Populaire( event_name='Victoria Populaire', short_name='VicPop', distance='50 km, 100 km', date_time=datetime(2011, 3, 27, 10, 0), start_locn='University of Victoria, Parking Lot #2 ' '(Gabriola Road, near McKinnon Gym)', organizer_email='mjansson@example.com', registration_end=datetime(2011, 3, 24, 12, 0), entry_form_url='http://www.randonneurs.bc.ca/VicPop/' 'VicPop11_registration.pdf', google_doc_id='spreadsheet:1234' ) DBSession.add(populaire) request = testing.DummyRequest() request.matchdict['item'] = 'VicPop' event_page_url = request.route_url( 'populaire', short_name=populaire.short_name) mailer = get_mailer(request) flash = self._call_email_to_webmaster( request, populaire, event_page_url) self.assertEqual(len(mailer.outbox), 1) self.assertEqual( flash, ['success', 'Email with VicPop page URL sent to webmaster']) def test_email_to_webmaster_message(self): """email_to_webmaster message has expected content """ from randopony.models import Populaire populaire = Populaire( event_name='Victoria Populaire', short_name='VicPop', distance='50 km, 100 km', date_time=datetime(2011, 3, 27, 10, 0), start_locn='University of Victoria, Parking Lot #2 ' '(Gabriola Road, near McKinnon Gym)', organizer_email='mjansson@example.com', registration_end=datetime(2011, 3, 24, 12, 0), entry_form_url='http://www.randonneurs.bc.ca/VicPop/' 'VicPop11_registration.pdf', google_doc_id='spreadsheet:1234' ) DBSession.add(populaire) request = testing.DummyRequest() request.matchdict['item'] = 'VicPop' event_page_url = request.route_url( 'populaire', short_name=populaire.short_name) mailer = get_mailer(request) self._call_email_to_webmaster(request, populaire, event_page_url) msg = mailer.outbox[0] self.assertEqual( msg.subject, 'RandoPony Pre-registration page for VicPop') self.assertEqual(msg.sender, 'randopony@randonneurs.bc.ca') self.assertEqual(msg.recipients, ['webmaster@randonneurs.bc.ca']) self.assertIn('page for the VicPop event has been added', msg.body) self.assertIn( 'The URL is <http://example.com/populaires/VicPop>.', msg.body) self.assertIn('send email to <djl@douglatornell.ca>.', msg.body) class TestFinalizeFlashMsg(unittest.TestCase): """Unit tests for finalize_flash_msg function. """ def _call_finalize_flash_msg(self, *args, **kwargs): from randopony.views.admin.core import finalize_flash_msg return finalize_flash_msg(*args, **kwargs) def test_finalize_flash_msg_error(self): """flash 1st element is error when error present in flash list """ request = testing.DummyRequest() self._call_finalize_flash_msg(request, 'success foo error bar'.split()) flash = request.session.pop_flash() self.assertEqual(flash[0], 'error') def test_finalize_flash_msg_success(self): """flash 1st element is success when error not present in flash list """ request = testing.DummyRequest() self._call_finalize_flash_msg( request, 'success foo sucess bar'.split()) flash = request.session.pop_flash() self.assertEqual(flash[0], 'success') def test_finalize_flash_msg_content(self): """flash[1:] are msgs w/o error or success elements of flash list """ request = testing.DummyRequest() self._call_finalize_flash_msg(request, 'success foo error bar'.split()) flash = request.session.pop_flash() self.assertEqual(flash[1:], 'foo bar'.split())

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0.138109

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0.028029

0.730229

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0.633549

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0.025324

0.278504

19,594

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0.794865

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0.177466

0.029917

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false

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null

0

1

2d036ce61565c7bf56d00dfde72b453399c3d5d5

4,204

py

Python

src/lib/parsers/parseretinac.py

Project-Prismatica/Prism-Shell

006d04fdabbe51c4a3fd642e05ba276251f1bba4

[ "MIT" ]

null

src/lib/parsers/parseretinac.py

Project-Prismatica/Prism-Shell

006d04fdabbe51c4a3fd642e05ba276251f1bba4

[ "MIT" ]

null

src/lib/parsers/parseretinac.py

Project-Prismatica/Prism-Shell

006d04fdabbe51c4a3fd642e05ba276251f1bba4

[ "MIT" ]

1

2018-02-22T02:18:48.000Z

#!/usr/bin/python # parseretinac.py # # By Adrien de Beaupre adriendb@gmail.com | adrien@intru-shun.ca # Copyright 2011 Intru-Shun.ca Inc. # v0.09 # 16 October 2011 # # The current version of these scripts are at: http://dshield.handers.org/adebeaupre/ossams-parser.tgz # # Parses retina community version XML output # http://eeye.com # # This file is part of the ossams-parser. # # The ossams-parser is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # The ossams-parser 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 General Public License for more details. # # You should have received a copy of the GNU General Public License # along with the ossams-parser. If not, see <http://www.gnu.org/licenses/>. # # parseretina function def parseretinac(time, os, root, filetoread, db, dbconnection, projectname, projectid, separator): # Check to see if the document root is 'scanJob', exit if it is not if root.tag: if root.tag != "scanJob": print filetoread, "is not a retina XML report file" return retinafile = filetoread.split(separator) file = retinafile[-1] filetime = time.ctime(os.path.getmtime(filetoread)) timenow = time.ctime() db.execute(""" INSERT INTO tooloutput (toolname, filename, OSSAMSVersion, filedate, inputtimestamp, projectname, projectid) VALUES ('retina', '%s', 0.09, '%s', '%s', '%s', '%s') """ % (file, filetime, timenow, projectname, projectid) ) tooloutputnumber = int(db.lastrowid) print "Processed retina report number:", tooloutputnumber hostattribs = ['ip', 'netBIOSName', 'netBIOSDomain', 'dnsName', 'mac', 'os'] auditattribs = ['rthID', 'cve', 'cce', 'name', 'description', 'date', 'risk', 'pciLevel', 'cvssScore', 'fixInformation', 'exploit'] hosts = root.findall('hosts/host') for host in hosts: hostvalues = {'ip': " ", 'netBIOSName': " ", 'netBIOSDomain': " ", 'dnsName': " ", 'mac': " ", 'os': " "} auditvalues = {'rthID': " ", 'cve': " ", 'cce': " ", 'name': " ", 'description': " ", 'date': " ", 'risk': " ", 'pciLevel': " ", 'cvssScore': " ", 'fixInformation': " ", 'exploit': " "} refs = ['cve', 'cce', 'cvssScore', 'pciLevel'] for value in hostattribs: node = host.find(value) if node.text: hostvalues[value] = node.text db.execute(""" INSERT INTO hosts (tooloutputnumber, ipv4, macaddress, hostname, recon, hostcriticality, hostos) VALUES (%s, '%s', '%s', '%s', 1, 0, '%s') """ % (tooloutputnumber, hostvalues['ip'], hostvalues['mac'], hostvalues['dnsName'], hostvalues['os']) ) hostnumber = int(db.lastrowid) print "Processed host:", hostnumber, "IP:", hostvalues['ip'] audits = host.findall('audit') for audit in audits: for value in auditattribs: node = audit.find(value) if node.text: auditvalues[value] = node.text description = auditvalues['description'] encodeddescription = description.encode('utf-8','ignore') db.execute(""" INSERT INTO vulnerabilities (tooloutputnumber, hostnumber, vulnerabilityid, vulnerabilityname, vulnerabilityrisk, vulnerabilitydescription, vulnerabilityvalidation, vulnerabilitysolution) VALUES ('%s', '%s', '%s', '%s', '%s', '%s', 0, '%s') """ % (tooloutputnumber, hostnumber, auditvalues['rthID'], auditvalues['name'], auditvalues['risk'], dbconnection.escape_string(encodeddescription), dbconnection.escape_string(auditvalues['fixInformation']) ) ) vulnnumber = int(db.lastrowid) for ref in refs: refvalue = audit.find(ref) if refvalue.text: db.execute(""" INSERT INTO refs (tooloutputnumber, hostnumber, vulnerabilitynumber, referencetype, referencevalue ) VALUES ('%s', '%s', '%s', '%s', '%s') """ % (tooloutputnumber, hostnumber, vulnnumber, refvalue.tag, refvalue.text) ) return

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0.171977

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0

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4,204

97

134

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0.807012

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0

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null

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0

null

0

null

0

1

0

1

2d0642d0a2bf80cc847ea773f1cbfa1193d454b9

5,103

py

Python

animate.py

manuelnaranjo/pyrealtimecharter

72fa4faa132686ba2a401cc7dfff326d36ecc505

[ "Apache-2.0" ]

null

animate.py

manuelnaranjo/pyrealtimecharter

72fa4faa132686ba2a401cc7dfff326d36ecc505

[ "Apache-2.0" ]

null

animate.py

manuelnaranjo/pyrealtimecharter

72fa4faa132686ba2a401cc7dfff326d36ecc505

[ "Apache-2.0" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- """ Copyright 2010 Naranjo, Manuel Francisco <manuel@aircable.net> 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. Based on one of the matplot examples, this will draw received data from the serial port on real time. """ import os, sys, random, select, termios, fcntl, serial from matplotlib.figure import Figure from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas from PyQt4 import QtCore, QtGui import numpy as np import time SPAN=60 # last X seconds def scan(): """scan for available ports. return a list of tuples (num, name)""" available = [] for i in range(256): try: s = serial.Serial(i) available.append((i, s.portstr)) s.close() # explicit close 'cause of delayed GC in java except serial.SerialException: pass if os.name == 'posix': for i in range(256): try: s = serial.Serial('/dev/ttyUSB%s' % i) available.append( (i, s.portstr) ) s.close() # explicit close 'cause of delayed GC in java except serial.SerialException: pass return available class BlitQT(FigureCanvas): def addSerie(self, serie): ind = len(self.series)+1 plot = self.figure.add_subplot( ind, 1, ind ) plot.autoscale(enable=True, tight=True) plot.set_ylabel(serie) plot.set_xlim(left=self.tstart) plot.grid() self.series[serie] = { 'plot': plot, 'x':[], 'y':[], 'background': self.copy_from_bbox(plot.bbox), 'chart': plot.plot([],[])[0] } i=1 for s in self.series: if s == serie: continue self.figure.delaxes(self.series[s]['plot']) plot = self.figure.add_subplot( ind, 1, i) plot.autoscale(enable=True, tight=True) plot.set_ylabel(s) plot.grid() self.series[s]['plot']=plot self.series[s]['background'] = self.copy_from_bbox(plot.bbox) self.series[s]['chart']=plot.plot([],[])[0] i+=1 self.draw() def addDataPoint(self, serie, value): if serie not in self.series: # no conozco serie, agregar self.addSerie(serie) plot = self.series[serie] self.lasttime = time.time() plot['x'].append(self.lasttime) plot['y'].append(value) plot['chart'].set_xdata(plot['x']) plot['chart'].set_ydata(plot['y']) if len(plot['x']) == 0: return m = min(plot['y'])*0.9 M = max(plot['y'])*1.1 if m != M: plot['plot'].set_ylim(m, M) def updateSpan(self): now = time.time() for s in self.series: self.series[s]['plot'].set_xlim(now-SPAN, now) def keyPressEvent(self, event): key = event.key() if key == QtCore.Qt.Key_Escape: self.close return print key, chr(key) self.port.write('%s' % chr(key)) def __init__(self, port): FigureCanvas.__init__(self, Figure()) self.series = dict() self.draw() self.tstart = time.time() self.startTimer(500) self.port = serial.Serial(port, timeout=0.01) self.lasttime = 0 self.cnt = 0 # vaciar buffer if len(select.select([self.port,],[],[], 0)[0]) > 0: self.port.flush() def timerEvent(self, event): self.cnt+=1 # ver si hay algo en el puerto if len(select.select([self.port,],[],[], 0)[0]) == 0: self.doRedraw() return for line in self.port.readlines(): line=line.strip() if len(line) == 0: continue try: serie, dato = line.split(';')[:2] dato = float(dato) self.addDataPoint(serie, dato) except Exception, err: pass self.doRedraw() def resizeEvent(self, event): for i in self.series: self.series[i]['background']=self.copy_from_bbox(self.series[i]['plot'].bbox) super(BlitQT, self).resizeEvent(event) def doRedraw(self): self.updateSpan() self.draw() for i in self.series: pl = self.series[i] # clear! self.restore_region(['background']) # update chart pl['plot'].draw_artist(pl['chart']) # plot axis self.blit(pl['plot'].bbox) self.draw() if __name__=='__main__': i = 0 ports = scan() if len(ports) == 0 and len(sys.argv) == 1: print "Couldn't found port, please give me a port name as argument" sys.exit(0) if len(sys.argv) == 1: print "Choose port:" for num, port in ports: print "\t %i: %s" % (i, port) i+=1 port = int(raw_input("enter number: ")) port = ports[port][1] else: port = sys.argv[1] app = QtGui.QApplication(sys.argv) widget = BlitQT(port) widget.show() sys.exit(app.exec_())

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null

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1

2d09d5c976fe0b439fd326a0507f29f1c53af7a3

4,149

py

Python

testing/unit_tests/test_loader.py

MotionCorrect/ivadomed

5e402fe6dc180847ad12bb813ba5b0431d243f04

[ "MIT" ]

null

testing/unit_tests/test_loader.py

MotionCorrect/ivadomed

5e402fe6dc180847ad12bb813ba5b0431d243f04

[ "MIT" ]

6

2021-03-24T16:23:29.000Z

2021-04-08T15:22:53.000Z

testing/unit_tests/test_loader.py

MotionCorrect/ivadomed

5e402fe6dc180847ad12bb813ba5b0431d243f04

[ "MIT" ]

null

import os import pytest import csv_diff import logging import torch from unit_tests.t_utils import remove_tmp_dir, create_tmp_dir, __data_testing_dir__, __tmp_dir__ from ivadomed.loader import utils as imed_loader_utils from ivadomed.loader import loader as imed_loader logger = logging.getLogger(__name__) def setup_function(): create_tmp_dir() @pytest.mark.parametrize('loader_parameters', [{ "path_data": [os.path.join(__data_testing_dir__, "microscopy_png")], "bids_config": "ivadomed/config/config_bids.json", "target_suffix": [["_seg-myelin-manual", "_seg-axon-manual"]], "extensions": [".png"], "roi_params": {"suffix": None, "slice_filter_roi": None}, "contrast_params": {"contrast_lst": []} }]) def test_bids_df_microscopy_png(loader_parameters): """ Test for microscopy png file format Test for _sessions.tsv and _scans.tsv files Test for target_suffix as a nested list Test for when no contrast_params are provided """ bids_df = imed_loader_utils.BidsDataframe(loader_parameters, __tmp_dir__, derivatives=True) df_test = bids_df.df.drop(columns=['path']) # TODO: modify df_ref.csv file in data-testing dataset to include "participant_id" # and "sample_id" columns, then delete next line df_test = df_test.drop(columns=['participant_id', 'sample_id']) df_test = df_test.sort_values(by=['filename']).reset_index(drop=True) csv_ref = os.path.join(loader_parameters["path_data"][0], "df_ref.csv") csv_test = os.path.join(loader_parameters["path_data"][0], "df_test.csv") df_test.to_csv(csv_test, index=False) diff = csv_diff.compare(csv_diff.load_csv(open(csv_ref)), csv_diff.load_csv(open(csv_test))) assert diff == {'added': [], 'removed': [], 'changed': [], 'columns_added': [], 'columns_removed': []} @pytest.mark.parametrize('loader_parameters', [{ "path_data": [__data_testing_dir__], "target_suffix": ["_seg-manual"], "extensions": [], "roi_params": {"suffix": None, "slice_filter_roi": None}, "contrast_params": {"contrast_lst": ["T1w", "T2w"]} }]) def test_bids_df_anat(loader_parameters): """ Test for MRI anat nii.gz file format Test for when no file extensions are provided Test for multiple target_suffix TODO: modify test and "df_ref.csv" file in data-testing dataset to test behavior when "roi_suffix" is not None """ bids_df = imed_loader_utils.BidsDataframe(loader_parameters, __tmp_dir__, derivatives = True) df_test = bids_df.df.drop(columns=['path']) # TODO: modify df_ref.csv file in data-testing dataset to include "participant_id" # column then delete next line df_test = df_test.drop(columns=['participant_id']) df_test = df_test.sort_values(by=['filename']).reset_index(drop=True) csv_ref = os.path.join(loader_parameters["path_data"][0], "df_ref.csv") csv_test = os.path.join(loader_parameters["path_data"][0], "df_test.csv") df_test.to_csv(csv_test, index=False) diff = csv_diff.compare(csv_diff.load_csv(open(csv_ref)), csv_diff.load_csv(open(csv_test))) assert diff == {'added': [], 'removed': [], 'changed': [], 'columns_added': [], 'columns_removed': []} # TODO: add a test to ensure the loader can read in multiple entries in path_data @pytest.mark.parametrize('seg_pair', [ {"input": torch.rand((2, 5, 5))}, {"input": torch.rand((1, 5, 5))}, {"input": torch.rand((5, 5, 5, 5))}, {"input": (torch.rand((5, 5, 5, 3)) * torch.tensor([1, 0, 1], dtype=torch.float)).transpose(0, -1)}, {"input": (torch.rand((7, 7, 4)) * torch.tensor([1, 0, 0, 0], dtype=torch.float)).transpose(0, -1)} ]) def test_dropout_input(seg_pair): n_channels = seg_pair['input'].size(0) seg_pair = imed_loader.dropout_input(seg_pair) empty_channels = [len(torch.unique(input_data)) == 1 for input_data in seg_pair['input']] # If multichannel if n_channels > 1: # Verify that there is still at least one channel remaining assert sum(empty_channels) <= n_channels else: assert sum(empty_channels) == 0 def teardown_function(): remove_tmp_dir()

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null

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null

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1

2d102ba963d0416b1e7dda9fdfd6232ee7b52e79

640

py

Python

server/project/api_v1/migrations/0003_auto_20191020_1229.py

Utree/TRAGRAM

d994394d580296c6acccbc3e222454b883ffb4d5

[ "MIT" ]

null

server/project/api_v1/migrations/0003_auto_20191020_1229.py

Utree/TRAGRAM

d994394d580296c6acccbc3e222454b883ffb4d5

[ "MIT" ]

null

server/project/api_v1/migrations/0003_auto_20191020_1229.py

Utree/TRAGRAM

d994394d580296c6acccbc3e222454b883ffb4d5

[ "MIT" ]

null

# Generated by Django 2.1.8 on 2019-10-20 03:29 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api_v1', '0002_auto_20191020_1005'), ] operations = [ migrations.AlterField( model_name='post', name='map_lat', field=models.DecimalField(decimal_places=10, default=0, max_digits=20, verbose_name='緯度'), ), migrations.AlterField( model_name='post', name='map_lon', field=models.DecimalField(decimal_places=10, default=0, max_digits=20, verbose_name='経度'), ), ]

26.666667

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null

0

1

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null

0

1

2d12bbb1e89b0a3a7d504dd09f39cc0aa58d6b36

613

py

Python

leads/migrations/0012_auto_20190521_0128.py

goplannr-samim/manager-app

cd5bf7f1fea28d51dea55e48fa69cc461520a878

[ "MIT" ]

null

leads/migrations/0012_auto_20190521_0128.py

goplannr-samim/manager-app

cd5bf7f1fea28d51dea55e48fa69cc461520a878

[ "MIT" ]

8

2020-06-05T20:58:52.000Z

2022-03-11T23:48:48.000Z

leads/migrations/0012_auto_20190521_0128.py

goplannr-samim/manager-app

cd5bf7f1fea28d51dea55e48fa69cc461520a878

[ "MIT" ]

null

# Generated by Django 2.1.7 on 2019-05-20 19:58 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('leads', '0011_auto_20190520_1217'), ] operations = [ migrations.AddField( model_name='lead', name='first_name', field=models.CharField(max_length=255, null=True, verbose_name='First name'), ), migrations.AddField( model_name='lead', name='last_name', field=models.CharField(max_length=255, null=True, verbose_name='Last name'), ), ]

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null

0

1

0

null

0

1

2d146ad7b735919c96c63ca899f284a422b94a05

7,406

py

Python

ansys/dpf/core/operators/math/add_fc.py

jfthuong/pydpf-core

bf2895ebc546e0004f759289bfc9a23196559ac3

[ "MIT" ]

18

2021-10-16T10:38:29.000Z

2022-03-29T11:26:42.000Z

ansys/dpf/core/operators/math/add_fc.py

jfthuong/pydpf-core

bf2895ebc546e0004f759289bfc9a23196559ac3

[ "MIT" ]

79

2021-10-11T23:18:54.000Z

2022-03-29T14:53:14.000Z

ansys/dpf/core/operators/math/add_fc.py

jfthuong/pydpf-core

bf2895ebc546e0004f759289bfc9a23196559ac3

[ "MIT" ]

5

2021-11-29T18:35:37.000Z

2022-03-16T16:49:21.000Z

""" add_fc =============== Autogenerated DPF operator classes. """ from warnings import warn from ansys.dpf.core.dpf_operator import Operator from ansys.dpf.core.inputs import Input, _Inputs from ansys.dpf.core.outputs import Output, _Outputs from ansys.dpf.core.operators.specification import PinSpecification, Specification class add_fc(Operator): """Select all fields having the same label space in the input fields container, and add those together. If fields, doubles, or vectors of doubles are put in input, they are added to all the fields. Parameters ---------- fields_container1 : FieldsContainer or Field or float fields_container2 : FieldsContainer or Field or float Examples -------- >>> from ansys.dpf import core as dpf >>> # Instantiate operator >>> op = dpf.operators.math.add_fc() >>> # Make input connections >>> my_fields_container1 = dpf.FieldsContainer() >>> op.inputs.fields_container1.connect(my_fields_container1) >>> my_fields_container2 = dpf.FieldsContainer() >>> op.inputs.fields_container2.connect(my_fields_container2) >>> # Instantiate operator and connect inputs in one line >>> op = dpf.operators.math.add_fc( ... fields_container1=my_fields_container1, ... fields_container2=my_fields_container2, ... ) >>> # Get output data >>> result_fields_container = op.outputs.fields_container() """ def __init__( self, fields_container1=None, fields_container2=None, config=None, server=None ): super().__init__(name="add_fc", config=config, server=server) self._inputs = InputsAddFc(self) self._outputs = OutputsAddFc(self) if fields_container1 is not None: self.inputs.fields_container1.connect(fields_container1) if fields_container2 is not None: self.inputs.fields_container2.connect(fields_container2) @staticmethod def _spec(): description = """Select all fields having the same label space in the input fields container, and add those together. If fields, doubles, or vectors of doubles are put in input, they are added to all the fields.""" spec = Specification( description=description, map_input_pin_spec={ 0: PinSpecification( name="fields_container", type_names=[ "fields_container", "field", "double", "vector<double>", ], optional=False, document="""""", ), 1: PinSpecification( name="fields_container", type_names=[ "fields_container", "field", "double", "vector<double>", ], optional=False, document="""""", ), }, map_output_pin_spec={ 0: PinSpecification( name="fields_container", type_names=["fields_container"], optional=False, document="""""", ), }, ) return spec @staticmethod def default_config(server=None): """Returns the default config of the operator. This config can then be changed to the user needs and be used to instantiate the operator. The Configuration allows to customize how the operation will be processed by the operator. Parameters ---------- server : server.DPFServer, optional Server with channel connected to the remote or local instance. When ``None``, attempts to use the the global server. """ return Operator.default_config(name="add_fc", server=server) @property def inputs(self): """Enables to connect inputs to the operator Returns -------- inputs : InputsAddFc """ return super().inputs @property def outputs(self): """Enables to get outputs of the operator by evaluationg it Returns -------- outputs : OutputsAddFc """ return super().outputs class InputsAddFc(_Inputs): """Intermediate class used to connect user inputs to add_fc operator. Examples -------- >>> from ansys.dpf import core as dpf >>> op = dpf.operators.math.add_fc() >>> my_fields_container1 = dpf.FieldsContainer() >>> op.inputs.fields_container1.connect(my_fields_container1) >>> my_fields_container2 = dpf.FieldsContainer() >>> op.inputs.fields_container2.connect(my_fields_container2) """ def __init__(self, op: Operator): super().__init__(add_fc._spec().inputs, op) self._fields_container1 = Input(add_fc._spec().input_pin(0), 0, op, 0) self._inputs.append(self._fields_container1) self._fields_container2 = Input(add_fc._spec().input_pin(1), 1, op, 1) self._inputs.append(self._fields_container2) @property def fields_container1(self): """Allows to connect fields_container1 input to the operator. Parameters ---------- my_fields_container1 : FieldsContainer or Field or float Examples -------- >>> from ansys.dpf import core as dpf >>> op = dpf.operators.math.add_fc() >>> op.inputs.fields_container1.connect(my_fields_container1) >>> # or >>> op.inputs.fields_container1(my_fields_container1) """ return self._fields_container1 @property def fields_container2(self): """Allows to connect fields_container2 input to the operator. Parameters ---------- my_fields_container2 : FieldsContainer or Field or float Examples -------- >>> from ansys.dpf import core as dpf >>> op = dpf.operators.math.add_fc() >>> op.inputs.fields_container2.connect(my_fields_container2) >>> # or >>> op.inputs.fields_container2(my_fields_container2) """ return self._fields_container2 class OutputsAddFc(_Outputs): """Intermediate class used to get outputs from add_fc operator. Examples -------- >>> from ansys.dpf import core as dpf >>> op = dpf.operators.math.add_fc() >>> # Connect inputs : op.inputs. ... >>> result_fields_container = op.outputs.fields_container() """ def __init__(self, op: Operator): super().__init__(add_fc._spec().outputs, op) self._fields_container = Output(add_fc._spec().output_pin(0), 0, op) self._outputs.append(self._fields_container) @property def fields_container(self): """Allows to get fields_container output of the operator Returns ---------- my_fields_container : FieldsContainer Examples -------- >>> from ansys.dpf import core as dpf >>> op = dpf.operators.math.add_fc() >>> # Connect inputs : op.inputs. ... >>> result_fields_container = op.outputs.fields_container() """ # noqa: E501 return self._fields_container

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null

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1

2d15860238c72c1cb7074178d1db48f26a5c4c75

8,665

py

Python

scripts/gazebo_move_object.py

RCPRG-ros-pkg/rcprg_gazebo_utils

d50151280f430d1b0894b12beb4071906ac726ff

[ "BSD-3-Clause" ]

null

scripts/gazebo_move_object.py

RCPRG-ros-pkg/rcprg_gazebo_utils

d50151280f430d1b0894b12beb4071906ac726ff

[ "BSD-3-Clause" ]

null

scripts/gazebo_move_object.py

RCPRG-ros-pkg/rcprg_gazebo_utils

d50151280f430d1b0894b12beb4071906ac726ff

[ "BSD-3-Clause" ]

1

2022-02-08T14:36:16.000Z

#!/usr/bin/env python ## Provides interactive 6D pose marker and allows moving object in Gazebo. # @ingroup utilities # @file gazebo_move_object.py # @namespace scripts.gazebo_move_object Provides interactive 6D pose marker and allows moving object in Gazebo # Copyright (c) 2017, Robot Control and Pattern Recognition Group, # Institute of Control and Computation Engineering # Warsaw University of Technology # # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # * Neither the name of the Warsaw University of Technology nor the # names of its contributors may be used to endorse or promote products # derived from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL <COPYright HOLDER> BE LIABLE FOR ANY # DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES # (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # # Author: Dawid Seredynski # import roslib; roslib.load_manifest('rcprg_gazebo_utils') import sys import rospy import math import copy import tf from std_msgs.msg import ColorRGBA from interactive_markers.interactive_marker_server import * from interactive_markers.menu_handler import * from visualization_msgs.msg import * from geometry_msgs.msg import * from tf.transformations import * import tf_conversions.posemath as pm import PyKDL from cartesian_trajectory_msgs.msg import * import actionlib from gazebo_msgs.srv import * class IntMarkers6D: def __init__(self, link_name): self.link_name = link_name rospy.wait_for_service('/gazebo/set_link_state', 4.0) self.set_link_state = rospy.ServiceProxy('/gazebo/set_link_state', SetLinkState) rospy.wait_for_service('/gazebo/get_link_state', 4.0) get_link_state = rospy.ServiceProxy('/gazebo/get_link_state', GetLinkState) req = GetLinkStateRequest() req.link_name = self.link_name req.reference_frame = "torso_base" resp = get_link_state(req) if resp.success == False: print "success:", resp.success, ", status:", resp.status_message raise Exception("/gazebo/get_link_state") print "IntMarkers6D init ok" # create an interactive marker server on the topic namespace simple_marker self.server = InteractiveMarkerServer('gazebo_move_object_' + self.link_name.replace(":", "_")) self.T_B_M = PyKDL.Frame(PyKDL.Vector(1,1,1)) self.insert6DofGlobalMarker(self.T_B_M) self.server.applyChanges(); def setLinkState(self, T_B_M): req = SetLinkStateRequest() req.link_state.link_name = self.link_name req.link_state.pose.position.x = T_B_M.p.x() req.link_state.pose.position.y = T_B_M.p.y() req.link_state.pose.position.z = T_B_M.p.z() qx, qy, qz, qw = T_B_M.M.GetQuaternion() req.link_state.pose.orientation.x = qx req.link_state.pose.orientation.y = qy req.link_state.pose.orientation.z = qz req.link_state.pose.orientation.w = qw req.link_state.twist.linear.x = 0 req.link_state.twist.linear.y = 0 req.link_state.twist.linear.z = 0 req.link_state.twist.angular.x = 0 req.link_state.twist.angular.y = 0 req.link_state.twist.angular.z = 0 req.link_state.reference_frame = "torso_base" resp = self.set_link_state(req) if resp.success == False: print "success:", resp.success, ", status:", resp.status_message def erase6DofMarker(self): self.server.erase(self.link_name+'_position_marker') self.server.applyChanges(); def insert6DofGlobalMarker(self, T_B_M): int_position_marker = InteractiveMarker() int_position_marker.header.frame_id = 'torso_base' int_position_marker.name = self.link_name+'_position_marker' int_position_marker.scale = 0.2 int_position_marker.pose = pm.toMsg(T_B_M) int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.ROTATE_AXIS,'x')); int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.ROTATE_AXIS,'y')); int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.ROTATE_AXIS,'z')); int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.MOVE_AXIS,'x')); int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.MOVE_AXIS,'y')); int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.MOVE_AXIS,'z')); box = self.createAxisMarkerControl(Point(0.15,0.015,0.015), Point(0.0, 0.0, 0.0) ) box.interaction_mode = InteractiveMarkerControl.BUTTON box.name = 'button' int_position_marker.controls.append( box ) self.server.insert(int_position_marker, self.processFeedback); self.server.applyChanges(); def processFeedback(self, feedback): if ( feedback.marker_name == self.link_name+'_position_marker' ): T_B_M = pm.fromMsg(feedback.pose) self.setLinkState(T_B_M) print "pose:", T_B_M.p.x(), T_B_M.p.y(), T_B_M.p.z() def createAxisMarkerControl(self, scale, position): markerX = Marker() markerX.type = Marker.ARROW markerX.scale = scale markerX.pose.position = position ori = quaternion_about_axis(0, [0, 1 ,0]) markerX.pose.orientation = Quaternion(ori[0], ori[1], ori[2], ori[3]) markerX.color = ColorRGBA(1,0,0,1) markerY = Marker() markerY.type = Marker.ARROW markerY.scale = scale markerY.pose.position = position ori = quaternion_about_axis(math.pi/2.0, [0, 0 ,1]) markerY.pose.orientation = Quaternion(ori[0], ori[1], ori[2], ori[3]) markerY.color = ColorRGBA(0,1,0,1) markerZ = Marker() markerZ.type = Marker.ARROW markerZ.scale = scale markerZ.pose.position = position ori = quaternion_about_axis(-math.pi/2.0, [0, 1 ,0]) markerZ.pose.orientation = Quaternion(ori[0], ori[1], ori[2], ori[3]) markerZ.color = ColorRGBA(0,0,1,1) control = InteractiveMarkerControl() control.always_visible = True; control.markers.append( markerX ); control.markers.append( markerY ); control.markers.append( markerZ ); return control def createInteractiveMarkerControl6DOF(self, mode, axis): control = InteractiveMarkerControl() control.orientation_mode = InteractiveMarkerControl.FIXED if mode == InteractiveMarkerControl.ROTATE_AXIS: control.name = 'rotate_'; if mode == InteractiveMarkerControl.MOVE_AXIS: control.name = 'move_'; if axis == 'x': control.orientation = Quaternion(1,0,0,1) control.name = control.name+'x'; if axis == 'y': control.orientation = Quaternion(0,1,0,1) control.name = control.name+'x'; if axis == 'z': control.orientation = Quaternion(0,0,1,1) control.name = control.name+'x'; control.interaction_mode = mode return control def printUsage(): print "usage: gazebo_move_object.py model_name::link_name" if __name__ == "__main__": rospy.init_node('gazebo_move_object', anonymous=True) if len(sys.argv) != 2: printUsage() exit(1) int_markers = IntMarkers6D(sys.argv[1]) rospy.spin()

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Python

api/cueSearch/elasticSearch/elastic_search_indexing.py

cuebook/CueSearch

8bf047de273b27bba41b8bf4e266aac1eee7f81a

[ "Apache-2.0" ]

3

2022-02-10T17:00:19.000Z

2022-03-29T14:31:25.000Z

api/cueSearch/elasticSearch/elastic_search_indexing.py

cuebook/CueSearch

8bf047de273b27bba41b8bf4e266aac1eee7f81a

[ "Apache-2.0" ]

null

api/cueSearch/elasticSearch/elastic_search_indexing.py

cuebook/CueSearch

8bf047de273b27bba41b8bf4e266aac1eee7f81a

[ "Apache-2.0" ]

null

import os import time import logging from typing import List, Dict from collections import deque # from search import app from elasticsearch import Elasticsearch from elasticsearch.helpers import parallel_bulk from datetime import datetime # from config import ELASTICSEARCH_URL import threading from .utils import Utils import traceback ELASTICSEARCH_URL = os.environ.get("ELASTICSEARCH_URL", "http://localhost:9200/") class ESIndexingUtils: """ Class to handle Elastic Search related indexing and search utilities """ GLOBAL_DIMENSIONS_NAMES_INDEX_NAME = ( "cuesearch_global_dimensions_names_for_search_index" ) GLOBAL_DIMENSIONS_INDEX_NAME = "global_dimensions_name_index_cuesearch" GLOBAL_DIMENSIONS_INDEX_DATA = "cuesearch_global_dimensions_data_index" AUTO_GLOBAL_DIMENSIONS_INDEX_DATA = "cuesearch_auto_global_dimensions_data_index" AUTO_GLOBAL_DIMENSIONS_INDEX_DATA_SEARCH_SUGGESTION = ( "cuesearch_auto_global_dimensions_search_suggestion_data_index" ) GLOBAL_DIMENSIONS_INDEX_SEARCH_SUGGESTION_DATA = ( "cuesearch_global_dimensions_search_suggestion_data_index" ) DATASET_MEASURES_INDEX_NAME = "dataset_measures_index_cuesearch" @staticmethod def _getESClient() -> Elasticsearch: """ Method to get the ES Client """ esHost = ELASTICSEARCH_URL esClient = Elasticsearch(hosts=[esHost], timeout=30) return esClient @staticmethod def initializeIndex(indexName: str, indexDefinition: dict) -> str: """ Method to name the index in Elasticsearch :indexName: the index name to be used for index creation :indexDefinition: the index definition - dict. """ esClient = ESIndexingUtils._getESClient() logging.info("intializing Index here ...") currentIndexVersion = "_" + str(int(round(time.time() * 1000))) aliasIndex = indexName + currentIndexVersion logging.info("Creating index of: %s", aliasIndex) esClient.indices.create(index=aliasIndex, body=indexDefinition) return aliasIndex @staticmethod def ingestIndex(documentsToIndex: List[Dict], aliasIndex: str): """ Method to ingest data into the index :param documentsToIndex The documents that need to be indexed.e.g, List of Cards or List of Global Dimensions :aliasIndex: the index name to be used for ingestion """ esClient = ESIndexingUtils._getESClient() for documentToIndex in documentsToIndex: documentToIndex["_index"] = aliasIndex documentToIndex["_op_type"] = "index" logging.debug("Parallel indexing process starting.") deque(parallel_bulk(esClient, documentsToIndex), maxlen=0) logging.info("Alias index created at: %s", aliasIndex) @staticmethod def deleteOldIndex(indexName: str, aliasIndex: str): """ Method to ingest data into the index :param documentsToIndex The documents that need to be indexed.e.g, List of Cards or List of Global Dimensions :aliasIndex: the index name to be used for ingestion """ esClient = ESIndexingUtils._getESClient() logging.info( "Now point the alias index: { %s } to { %s }", aliasIndex, indexName ) esClient.indices.put_alias(index=aliasIndex, name=indexName) logging.info("Now delete the older indices. They are of no use now.") # Now delete the older indices following a certain pattern. # Those indices are old indices and are of no use. allAliases = esClient.indices.get_alias("*") for key, value in allAliases.items(): logging.debug("Checking for index: %s", key) # delete only the indexes matching the given pattern, # retain all the other indexes they may be coming from some other source if indexName in key: # do not delete the current index if aliasIndex == key: continue logging.info("Deleting the index: %s", key) esClient.indices.delete(index=key, ignore=[400, 404]) @staticmethod def deleteAllIndex(): logging.info("Deleting all indexes") esClient = ESIndexingUtils._getESClient() allAliases = esClient.indices.get_alias("*") for key, value in allAliases.items(): logging.info("Deleting the index: %s", key) esClient.indices.delete(index=key, ignore=[400, 404]) logging.info("All indexes deleted !") @staticmethod def _createIndex( documentsToIndex: List[Dict], indexName: str, indexDefinition: dict ): """ Method to create an index in Elasticsearch :param documentsToIndex The documents that need to be indexed.e.g, List of Cards or List of Global Dimensions :indexName: the index name to be used for index creation :indexDefinition: the index definition - dict. """ aliasIndex = ESIndexingUtils.initializeIndex(indexName, indexDefinition) # ingest entries in the initialized index ESIndexingUtils.ingestIndex(documentsToIndex, aliasIndex) # at this stage index has been created at a new location # now change the alias of the main Index to point to the new index ESIndexingUtils.deleteOldIndex(indexName, aliasIndex) @staticmethod def runAllIndexDimension(): """ Method to spawn a thread to index global dimension into elasticsearch existing indices The child thread assumes an index existing with a predefined unaltered indexDefinition """ logging.info("Indexing starts on global dimension action") cardIndexer1 = threading.Thread( target=ESIndexingUtils.indexGlobalDimensionsDataForSearchSuggestion ) cardIndexer1.start() cardIndexer2 = threading.Thread( target=ESIndexingUtils.indexGlobalDimensionsData ) cardIndexer2.start() cardIndexer3 = threading.Thread( target=ESIndexingUtils.indexNonGlobalDimensionsDataForSearchSuggestion ) cardIndexer3.start() cardIndexer4 = threading.Thread( target=ESIndexingUtils.indexNonGlobalDimensionsData() ) cardIndexer4.start() logging.info("Indexing completed !! ") @staticmethod def fetchGlobalDimensionsValueForIndexing(globalDimensionGroup): """ Method to fetch the global dimensions and the dimension values. :return List of Documents to be indexed """ indexingDocuments = [] dimension = "" logging.info("global dimension group in fetch %s", globalDimensionGroup) globalDimensionName = globalDimensionGroup["name"] logging.debug("Starting fetch for global dimension: %s", globalDimensionName) globalDimensionId = globalDimensionGroup["id"] dimensionObjs = globalDimensionGroup["values"] # dimensional values logging.info( "Merging dimensions Value percentile with mulitple values in list of dimensionValues" ) for dmObj in dimensionObjs: displayValue = "" dimension = dmObj["dimension"] dataset = dmObj["dataset"] datasetId = dmObj["datasetId"] res = Utils.getDimensionalValuesForDimension(datasetId, dimension) dimensionValues = res.get("data", []) for values in dimensionValues: if values: logging.info("Dimensional value is %s", values) displayValue = values elasticsearchUniqueId = ( str(globalDimensionId) + "_" + str(displayValue) + "_" + str(dataset) ) document = { "_id": elasticsearchUniqueId, "globalDimensionValue": str(displayValue).lower(), "globalDimensionDisplayValue": str(displayValue), "globalDimensionName": str(globalDimensionName), "globalDimensionId": globalDimensionId, "dimension": dimension, "dataset": dataset, "datasetId": datasetId, } indexingDocuments.append(document) logging.debug("Document to index: %s", document) return indexingDocuments @staticmethod def indexGlobalDimensionsData(joblogger=None): """ Method to index global dimensions data """ logging.info( "****************** Indexing Starts for Global Dimension values **************** " ) response = Utils.getGlobalDimensionForIndex() if response["success"]: globalDimensions = response.get("data", []) logging.debug("Global dimensions Fetched ") indexDefinition = { "settings": { "analysis": { "analyzer": { "my_analyzer": { "tokenizer": "my_tokenizer", "filter": ["lowercase"], } }, "default_search": {"type": "my_analyzer"}, "tokenizer": { "my_tokenizer": { "type": "edge_ngram", "min_gram": 1, "max_gram": 10, "token_chars": ["letter", "digit"], } }, } }, "mappings": { "properties": { "globalDimensionId": {"type": "integer"}, "globalDimensionDisplayValue": {"type": "keyword"}, "globalDimensionValue": { "type": "text", "search_analyzer": "my_analyzer", "analyzer": "my_analyzer", "fields": { "ngram": {"type": "text", "analyzer": "my_analyzer"} }, }, "globalDimensionName": { "type": "text", "search_analyzer": "my_analyzer", "analyzer": "my_analyzer", "fields": { "ngram": {"type": "text", "analyzer": "my_analyzer"} }, }, "dimension": { "type": "text", "search_analyzer": "my_analyzer", "analyzer": "my_analyzer", "fields": { "ngram": {"type": "text", "analyzer": "my_analyzer"} }, }, "dataset": {"type": "text"}, "datasetId": {"type": "integer"}, } }, } indexName = ESIndexingUtils.GLOBAL_DIMENSIONS_INDEX_DATA aliasIndex = ESIndexingUtils.initializeIndex(indexName, indexDefinition) logging.info("IndexName %s", indexName) logging.info("aliasIndex %s", aliasIndex) for globalDimensionGroup in globalDimensions: logging.info("globaldimensionGroup %s", globalDimensionGroup) # globalDimensionGroup is an array try: documentsToIndex = ( ESIndexingUtils.fetchGlobalDimensionsValueForIndexing( globalDimensionGroup ) ) ESIndexingUtils.ingestIndex(documentsToIndex, aliasIndex) except (Exception) as error: logging.error(str(error)) pass ESIndexingUtils.deleteOldIndex(indexName, aliasIndex) logging.info( "****************** Indexing Completed for Global Dimension values **************** " ) else: logging.error("Error in fetching global dimensions.") raise RuntimeError("Error in fetching global dimensions") @staticmethod def fetchGlobalDimensionsValueForSearchSuggestionIndexing(globalDimensionGroup): """ Method to fetch the global dimensions and the dimension values. :return List of Documents to be indexed """ indexingDocuments = [] globalDimensionName = globalDimensionGroup["name"] logging.debug("Starting fetch for global dimension: %s", globalDimensionName) globalDimensionId = globalDimensionGroup["id"] dimensionObjs = globalDimensionGroup["values"] # dimensional values logging.info( "Merging dimensions Value with mulitple values in list of dimensionValues" ) for dmObj in dimensionObjs: displayValue = "" dimension = dmObj["dimension"] dataset = dmObj["dataset"] datasetId = dmObj["datasetId"] res = Utils.getDimensionalValuesForDimension(datasetId, dimension) dimensionValues = res.get("data", []) if dimensionValues: for values in dimensionValues: if values: logging.info("Dimensional values is %s", values) displayValue = values elasticsearchUniqueId = ( str(globalDimensionId) + "_" + str(displayValue) ) document = { "_id": elasticsearchUniqueId, "globalDimensionValue": str(displayValue).lower(), "globalDimensionDisplayValue": str(displayValue), "globalDimensionName": str(globalDimensionName), "globalDimensionId": globalDimensionId, "dataset": dataset, "datasetId": datasetId, } indexingDocuments.append(document) logging.debug("Document to index: %s", document) return indexingDocuments # Below function is used for search suggestion / To avoid duplicates in search dropdown(Temparory) def indexGlobalDimensionsDataForSearchSuggestion(joblogger=None): """ Indexing is being done for dropdown suggestion """ logging.info( "*************************** Indexing starts of Global Dimension Values for Search Suggestion **************************" ) response = Utils.getGlobalDimensionForIndex() if response["success"]: globalDimensions = response.get("data", []) logging.debug("Global dimensions: %s", globalDimensions) indexDefinition = { "settings": { "analysis": { "analyzer": { "my_analyzer": { "tokenizer": "my_tokenizer", "filter": ["lowercase"], } }, "default_search": {"type": "my_analyzer"}, "tokenizer": { "my_tokenizer": { "type": "edge_ngram", "min_gram": 1, "max_gram": 10, "token_chars": ["letter", "digit"], } }, } }, "mappings": { "properties": { "globalDimensionId": {"type": "integer"}, "globalDimensionDisplayValue": {"type": "text"}, "globalDimensionValue": { "type": "text", "search_analyzer": "my_analyzer", "analyzer": "my_analyzer", "fields": { "ngram": {"type": "text", "analyzer": "my_analyzer"} }, }, "globalDimensionName": { "type": "text", "search_analyzer": "my_analyzer", "analyzer": "my_analyzer", "fields": { "ngram": {"type": "text", "analyzer": "my_analyzer"} }, }, "dataset": {"type": "text"}, "datasetId": {"type": "integer"}, } }, } indexName = ESIndexingUtils.GLOBAL_DIMENSIONS_INDEX_SEARCH_SUGGESTION_DATA aliasIndex = ESIndexingUtils.initializeIndex(indexName, indexDefinition) logging.info("IndexName %s", indexName) logging.info("aliasIndex %s", aliasIndex) for globalDimensionGroup in globalDimensions: # globalDimensionGroup is an array logging.info("globaldimensionGroup %s", globalDimensionGroup) try: documentsToIndex = ESIndexingUtils.fetchGlobalDimensionsValueForSearchSuggestionIndexing( globalDimensionGroup ) ESIndexingUtils.ingestIndex(documentsToIndex, aliasIndex) except (Exception) as error: logging.error(str(error)) pass ESIndexingUtils.deleteOldIndex(indexName, aliasIndex) logging.info( "*************************** Indexing Completed of Global Dimension Values for Search Suggestion **************************" ) else: logging.error("Error in fetching global dimensions.") raise RuntimeError("Error in fetching global dimensions") @staticmethod def indexNonGlobalDimensionsDataForSearchSuggestion(joblogger=None): """ Method to index global dimensions data """ from cueSearch.services import GlobalDimensionServices logging.info( "*************************** Indexing Starts of Non Global Dimension Values for Search Suggestion **************************" ) response = GlobalDimensionServices.nonGlobalDimensionForIndexing() if response["success"]: datsetDimensions = response.get("data", []) logging.debug("Dataset dimensions: %s", datsetDimensions) indexDefinition = { "settings": { "analysis": { "analyzer": { "my_analyzer": { "tokenizer": "my_tokenizer", "filter": ["lowercase"], } }, "default_search": {"type": "my_analyzer"}, "tokenizer": { "my_tokenizer": { "type": "edge_ngram", "min_gram": 1, "max_gram": 10, "token_chars": ["letter", "digit"], } }, } }, "mappings": { "properties": { "globalDimensionId": {"type": "text"}, "globalDimensionDisplayValue": {"type": "text"}, "globalDimensionValue": { "type": "text", "search_analyzer": "my_analyzer", "analyzer": "my_analyzer", "fields": { "ngram": {"type": "text", "analyzer": "my_analyzer"} }, }, "globalDimensionName": { "type": "text", "search_analyzer": "my_analyzer", "analyzer": "my_analyzer", "fields": { "ngram": {"type": "text", "analyzer": "my_analyzer"} }, }, "dimension": { "type": "text", "search_analyzer": "my_analyzer", "analyzer": "my_analyzer", "fields": { "ngram": {"type": "text", "analyzer": "my_analyzer"} }, }, "dataset": {"type": "text"}, "datasetId": {"type": "integer"}, } }, } indexName = ( ESIndexingUtils.AUTO_GLOBAL_DIMENSIONS_INDEX_DATA_SEARCH_SUGGESTION ) aliasIndex = ESIndexingUtils.initializeIndex(indexName, indexDefinition) logging.info("IndexName %s", indexName) logging.info("aliasIndex %s", aliasIndex) # datsetDimensions is an array try: documentsToIndex = ( ESIndexingUtils.fetchNonGlobalDimensionsValueForIndexing( datsetDimensions ) ) ESIndexingUtils.ingestIndex(documentsToIndex, aliasIndex) except (Exception) as error: logging.error(str(error)) pass ESIndexingUtils.deleteOldIndex(indexName, aliasIndex) logging.info( "*************************** Indexing Completed of Non Dimensional Values for Search Suggestion **************************" ) else: logging.error("Error in fetching global dimensions.") raise RuntimeError("Error in fetching global dimensions") @staticmethod def fetchNonGlobalDimensionsValueForIndexing(datasetDimensions: list): """ Method to fetch the global dimensions and the dimension values. :return List of Documents to be indexed """ indexingDocuments = [] dimension = "" globalDimensionName = "" globalDimensionId = "" dimensionObjs = datasetDimensions logging.info( "Merging dimensions Value percentile with mulitple values in list of dimensionValues" ) for dmObj in dimensionObjs: displayValue = "" dimension = dmObj["dimension"] dataset = dmObj["dataset"] datasetId = dmObj["datasetId"] res = Utils.getDimensionalValuesForDimension(datasetId, dimension) dimensionValues = res.get("data", []) for values in dimensionValues: if values: logging.info( " Non global dimensional values %s", values, ) displayValue = values globalDimensionId = ( str(dimension) + "_" + str(displayValue) + "_" + str(datasetId) ) globalDimensionName = str(dataset) + "_" + str(dimension) elasticsearchUniqueId = ( str(globalDimensionId) + "_" + str(displayValue) + "_" + str(dataset) ) document = { "_id": elasticsearchUniqueId, "globalDimensionValue": str(displayValue).lower(), "globalDimensionDisplayValue": str(displayValue), "globalDimensionName": str(globalDimensionName), "globalDimensionId": globalDimensionId, "dimension": dimension, "dataset": dataset, "datasetId": datasetId, } indexingDocuments.append(document) logging.info( "Indexing Documents length of non global dimension %s", len(indexingDocuments), ) return indexingDocuments @staticmethod def indexNonGlobalDimensionsData(joblogger=None): """ Method to index Non global dimensions data """ from cueSearch.services import GlobalDimensionServices logging.info( "*************************** Indexing Starts of Non Global Dimension Data **************************" ) response = GlobalDimensionServices.nonGlobalDimensionForIndexing() if response["success"]: datsetDimensions = response.get("data", []) logging.debug("Dataset dimensions: %s", datsetDimensions) indexDefinition = { "settings": { "analysis": { "analyzer": { "my_analyzer": { "tokenizer": "my_tokenizer", "filter": ["lowercase"], } }, "default_search": {"type": "my_analyzer"}, "tokenizer": { "my_tokenizer": { "type": "edge_ngram", "min_gram": 1, "max_gram": 10, "token_chars": ["letter", "digit"], } }, } }, "mappings": { "properties": { "globalDimensionId": {"type": "text"}, "globalDimensionDisplayValue": {"type": "keyword"}, "globalDimensionValue": { "type": "text", "search_analyzer": "my_analyzer", "analyzer": "my_analyzer", "fields": { "ngram": {"type": "text", "analyzer": "my_analyzer"} }, }, "globalDimensionName": { "type": "text", "search_analyzer": "my_analyzer", "analyzer": "my_analyzer", "fields": { "ngram": {"type": "text", "analyzer": "my_analyzer"} }, }, "dimension": { "type": "text", "search_analyzer": "my_analyzer", "analyzer": "my_analyzer", "fields": { "ngram": {"type": "text", "analyzer": "my_analyzer"} }, }, "dataset": {"type": "text"}, "datasetId": {"type": "integer"}, } }, } indexName = ESIndexingUtils.AUTO_GLOBAL_DIMENSIONS_INDEX_DATA aliasIndex = ESIndexingUtils.initializeIndex(indexName, indexDefinition) logging.info("IndexName %s", indexName) logging.info("aliasIndex %s", aliasIndex) # datsetDimensions is an array try: documentsToIndex = ( ESIndexingUtils.fetchNonGlobalDimensionsValueForIndexing( datsetDimensions ) ) ESIndexingUtils.ingestIndex(documentsToIndex, aliasIndex) except (Exception) as error: logging.error(str(error)) pass ESIndexingUtils.deleteOldIndex(indexName, aliasIndex) logging.info( "*************************** Indexing Completed of Non Dimensional Data **************************" ) else: logging.error("Error in fetching global dimensions.") raise RuntimeError("Error in fetching global dimensions")

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2d1cdb8c16bb2b3f1d6f22088415125ae731aadd

1,510

py

Python

scripts/plot.py

dfvella/vtol

a4dfca2c29cae653156f2681d58ba6c83d3639f3

[ "MIT" ]

null

scripts/plot.py

dfvella/vtol

a4dfca2c29cae653156f2681d58ba6c83d3639f3

[ "MIT" ]

null

scripts/plot.py

dfvella/vtol

a4dfca2c29cae653156f2681d58ba6c83d3639f3

[ "MIT" ]

null

#!/usr/bin/env python3 import sys import matplotlib.pyplot as plt try: filename = sys.argv[1] except IndexError: print('error: data file not specified') exit(1) #response = [ 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1 ] #response = [ 0.2, 0.2, 0.2, 0.2, 0.1, 0.05, 0.02, 0.02, 0.01, 0.0 ] #response = [ 0.4, 0.3, 0.2, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] # delay <20 ms response = [ 0.3, 0.3, 0.2, 0.2, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] # delay ~25 ms buffer = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] assert(abs(sum(response) - 1) < 0.001) assert(len(response) == len(buffer)) def filter(data: float, buff: list, resp: list) -> float: buff.insert(0, data) buff.pop() res = 0 for data, weight in zip(buff, resp): res += data * weight return res tList = [] xList = [] dList = [] fList = [] with open(filename, 'r') as f: for line in f: try: t, x = line.split() except TypeError: print('error: failed to parse line') exit(1) if len(tList) > 1: d = (xList[-1] - xList[-2]) / (tList[-1] - tList[-2]) else: d = 0 tList.append(float(t)) xList.append(float(x)) dList.append(float(d)) fList.append(float(filter(d, buffer, response))) plt.plot(tList, xList, label='x') plt.plot(tList, dList, label='dx/dt') plt.plot(tList, fList, label='filtered') plt.title(filename) plt.ylabel('x') plt.xlabel('t') plt.legend() plt.show()

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79

0.541722

274

1,510

2.985401

0.310219

0.102689

0.139364

0.171149

0.118582

0.101467

0.090465

0

0.11121

0.255629

1,510

62

80

24.354839

0.616548

0.159603

0

0.088889

0

0.058591

0

0.044444

1

0.022222

false

0

0.044444

0

0.088889

0.044444

0

null

0

1

0

null

0

1

2d263e5b201c53646dfb63b01b0b12af6c504dd2

9,027

py

Python

components/homme/scripts_for_paper/dictionaries.py

cjvogl/E3SM

d8990bc2efda76b6f9096f989eed46bd3ab87463

[ "FTL", "zlib-acknowledgement", "RSA-MD" ]

1

2019-12-11T16:41:13.000Z

components/homme/scripts_for_paper/dictionaries.py

cjvogl/E3SM

d8990bc2efda76b6f9096f989eed46bd3ab87463

[ "FTL", "zlib-acknowledgement", "RSA-MD" ]

null

components/homme/scripts_for_paper/dictionaries.py

cjvogl/E3SM

d8990bc2efda76b6f9096f989eed46bd3ab87463

[ "FTL", "zlib-acknowledgement", "RSA-MD" ]

null

from netCDF4 import Dataset import glob # This is meant to be an all-inclusive list of possible methods methodDict = {'KGU35-native': 5, 'ARS232-native': 7, 'KGU35': 21, 'ARS232': 22, 'DBM453': 23, 'ARS222': 24, 'ARS233': 25, 'ARS343': 26, 'ARS443': 27, 'ARK324': 28, 'ARK436': 29, 'SSP3333b': 30, 'SSP3333c': 31, 'IMKG232a': 32, 'IMKG232b': 33, 'IMKG242a': 34, 'IMKG242b': 35, 'IMKG243a': 37, 'IMKG252a': 38, 'IMKG252b': 39, 'IMKG253a': 40, 'IMKG253b': 41, 'IMKG254a': 42, 'IMKG254b': 43, 'IMKG254c': 44, 'IMKG343a': 45, 'ARK437': 47, 'ARK548': 48, 'SSP2232': 49, 'GSA222': 50} # Line+marker styles chosen to provide certain information about the method # line: # solid = second order # dashed = third order # dot-dashed = fourth order # solid = fifth order # marker: # circle = 0 implicit stages # x = 2 implicit stages # triangle = 3 implicit stages # square = 4 implicit stages # pentagon = 5 implicit stages # hexagon = 6 implicit stages # star = 7 implicit stages lineStyleDict = {'KGU35-native': '--o', 'ARS232-native': '-x', 'KGU35': '--o', 'ARS222': '-x', 'ARS232': '-x', 'SSP3333b': '--x', 'SSP3333c': '--x', 'ARS443': '--s', 'DBM453': '--s', 'ARS233': '--x', 'ARS343': '--^', 'ARK324': '--^', 'ARK436': '-.p', 'IMKG232a': '-x', 'IMKG232b': '-x', 'IMKG242a': '-x', 'IMKG242b': '-x', 'IMKG243a': '-^', 'IMKG243b': '-^', 'IMKG252a': '-x', 'IMKG252b': '-x', 'IMKG253a': '-^', 'IMKG253b': '-^', 'IMKG254a': '-s', 'IMKG254b': '-s', 'IMKG254c': '-s', 'IMKG343a': '--^', 'ARK437': '-.H', 'ARK548': '-*', 'SSP2232': '-x', 'GSA222': '-x'} colorDict = {'KGU35-native': 'k', 'KGU35': 'tab:blue', 'ARS232-native': 'k', 'ARS222': 'tab:blue', 'ARS232': 'tab:orange', 'SSP3333b': 'tab:green', 'SSP3333c': 'k', 'ARS233': 'tab:red', 'IMKG232a': 'tab:purple', 'IMKG232b': 'tab:brown', 'IMKG242a': 'tab:pink', 'IMKG242b': 'tab:gray', 'IMKG252a': 'tab:olive', 'IMKG252b': 'tab:cyan', 'ARS343': 'tab:blue', 'ARK324': 'tab:orange', 'IMKG243a': 'tab:red', 'IMKG253a': 'tab:purple', 'IMKG253b': 'tab:brown', 'IMKG343a': 'tab:pink', 'ARS443': 'tab:blue', 'DBM453': 'tab:orange', 'IMKG254a': 'tab:green', 'IMKG254b': 'tab:red', 'IMKG254c': 'tab:purple', 'ARK436': 'tab:blue', 'ARK437': 'tab:orange', 'ARK548': 'tab:blue', 'SSP2232': 'tab:red', 'GSA222': 'tab:purple'} # method to create solution dictionary def create_solution_dict(globstr, testName, varRef, indRef, tRef, minDt, maxDt, suffix, suffix_omit): solutionDict = {} for fileName in glob.glob(globstr): if (suffix_omit is not None and suffix_omit in fileName): continue words = fileName.split('/') shortName = words[-1] words = shortName.split('_') dt = words[1].replace('tstep','') dt = dt.replace('.out','') # If current timestep is appropriate, obtain solution if it exists if (float(dt) < maxDt and float(dt) > minDt): directory = './output_'+fileName.replace('.out','') print 'Reading solution in ' + directory data = Dataset(directory+'/'+testName) q = data[varRef][:] t = data['time'][:] if (len(t) > indRef and abs(t[indRef] - tRef) < 1e-10): solutionDict[dt] = q[indRef,:,:,:] else: print '... skipping due to incomplete results ...' return solutionDict # method to create energy error dictionary def create_energy_error_dict(globstr, minDt, maxDt, suffix, suffix_omit): energyErrorDict = {} for fileName in glob.glob(globstr): if (suffix_omit is not None and suffix_omit in fileName): continue words = fileName.split('/') shortName = words[-1] words = shortName.split('_') dt = words[1].replace('tstep','') dt = dt.replace('.out','') if (float(dt) < maxDt and float(dt) > minDt): energyErrorMax = 0.0 print 'Reading diagnostics in ' + fileName fileObj = open(fileName) lines = list(fileObj) fileObj.close() flag = False for line in reversed(lines): if ('Finished main timestepping loop' in line): flag = True if (flag and '(E-E0)/E0' in line): words = line.split() currentError = float(words[1]) if (abs(energyErrorMax) < abs(currentError)): energyErrorMax = currentError break if (flag): energyErrorDict[dt] = energyErrorMax else: print '... skipping due to incomplete results ...' return energyErrorDict def create_walltime_dict(globstr, minDt, maxDt, suffix_omit): walltimeDict = {} for fileName in glob.glob(globstr): if (suffix_omit is not None and suffix_omit in fileName): continue words = fileName.split('/') shortName = words[-1] words = shortName.split('_') dt = words[1].replace('tstep','') dt = dt.replace('.out','') if (float(dt) < maxDt and float(dt) > minDt): fileNameTiming = fileName.replace('.out','.err') print 'Reading timing info in ' + fileNameTiming fileObj = open(fileName) lines = list(fileObj) fileObj.close() flag = False for line in reversed(lines): if ('Finished main timestepping loop' in line): flag = True break if (not flag): print '... skipping due to incomplete results ...' continue fileObj = open(fileNameTiming) lines = list(fileObj) fileObj.close() words = lines[1].split() word = words[1] # ignore the word 'real' words = word.split(('m')) seconds = int(words[0])*60 + float(words[1].replace('s','')) walltimeDict[dt] = seconds return walltimeDict # method to create solution dictionary def create_solution_dict(globstr, testName, varRef, indRef, tRef, minDt, maxDt, suffix_omit): solutionDict = {} for fileName in glob.glob(globstr): if (suffix_omit is not None and suffix_omit in fileName): continue words = fileName.split('/') shortName = words[-1] words = shortName.split('_') dt = words[1].replace('tstep','') dt = dt.replace('.out','') # If current timestep is appropriate, obtain solution if it exists if (float(dt) < maxDt and float(dt) > minDt): directory = fileName.replace('.out','').replace('tsteptype','output_tsteptype') print 'Reading solution in ' + directory + '/' + testName data = Dataset(directory+'/'+testName) q = data[varRef][:] t = data['time'][:] if (len(t) > indRef and abs(t[indRef] - tRef) < 1e-10): solutionDict[dt] = q[indRef,:,:,:] else: print '... skipping due to incomplete results ...' return solutionDict # method to create energy error dictionary def create_energy_error_dict(globstr, minDt, maxDt, suffix, suffix_omit): energyErrorDict = {} for fileName in glob.glob(globstr): if (suffix_omit is not None and suffix_omit in fileName): continue words = fileName.split('/') shortName = words[-1] words = shortName.split('_') dt = words[1].replace('tstep','') dt = dt.replace('.out','') if (float(dt) < maxDt and float(dt) > minDt): energyErrorMax = 0.0 print 'Reading diagnostics in ' + fileName fileObj = open(fileName) lines = list(fileObj) fileObj.close() flag = False for line in reversed(lines): if ('Finished main timestepping loop' in line): flag = True if (flag and '(E-E0)/E0' in line): words = line.split() currentError = float(words[1]) if (abs(energyErrorMax) < abs(currentError)): energyErrorMax = currentError break if (flag): energyErrorDict[dt] = energyErrorMax else: print '... skipping due to incomplete results ...' return energyErrorDict

34.719231

101

0.519442

921

9,027

5.054289

0.237785

0.032223

0.016756

0.01826

0.628357

0.603222

0.595704

0

0.062219

0.334109

9,027

259

102

34.853282

0.712194

0.089842

0

0.517391

0

0.187355

0

null

0

0.008696

null

0.043478

0

null

0

null

0

1

0

1

2d31fb36bbc127eece967cc6d7bfbeedbbe21933

225,425

pyt

Python

LinkedDataConnector.pyt

gengchenmai/esri-linked-data-connector

bd68a3526dae77f221d60d04a5dbb96b2e456407

[ "Apache-2.0" ]

2

2020-02-18T06:35:51.000Z

2020-07-21T12:57:54.000Z

LinkedDataConnector.pyt

gengchenmai/esri-linked-data-connector

bd68a3526dae77f221d60d04a5dbb96b2e456407

[ "Apache-2.0" ]

null

LinkedDataConnector.pyt

gengchenmai/esri-linked-data-connector

bd68a3526dae77f221d60d04a5dbb96b2e456407

[ "Apache-2.0" ]

2

2020-06-17T13:51:39.000Z

2020-08-28T00:01:29.000Z

import arcpy import os import json import requests import re import os import collections import datetime import numpy from sets import Set from collections import OrderedDict from collections import defaultdict from collections import namedtuple from decimal import Decimal from arcpy import env class Toolbox(object): def __init__(self): """Define the toolbox (the name of the toolbox is the name of the .pyt file).""" self.label = "Toolbox" self.alias = "" # List of tool classes associated with this toolbox self.tools = [LinkedDataSpatialQuery, LinkedDataPropertyEnrich, MergeBatchNoFunctionalProperty, MergeSingleNoFunctionalProperty, LocationPropertyPath, RelFinder] class LinkedDataSpatialQuery(object): def __init__(self): """Define the tool (tool name is the name of the class).""" self.label = "Linked Data Spatial Query" self.description = "Get geographic features from wikidata by mouse clicking. The Place type can be specified." self.canRunInBackground = False self.entityTypeURLList = [] self.entityTypeLabel = [] self.enterTypeText = "" def getParameterInfo(self): """Define parameter definitions""" # interactively draw feature on the map in_buf_query_center = arcpy.Parameter( displayName="Input Buffer Query Center", name="in_buf_query_center", datatype="GPFeatureRecordSetLayer", parameterType="Required", direction="Input") # Use __file__ attribute to find the .lyr file (assuming the # .pyt and .lyr files exist in the same folder) in_buf_query_center.value = os.path.join(os.path.dirname(__file__),"symbology.lyr") in_buf_query_center.filter.list = ["Point"] # Choose place type for search in_place_type = arcpy.Parameter( displayName="Input Place Type", name="in_place_type", datatype="GPString", parameterType="Optional", direction="Input") in_place_type.filter.type = "ValueList" in_place_type.filter.list = [] # Choose place type for search in_is_directed_instance = arcpy.Parameter( displayName="Disable Transitive Subclass Reasoning", name="in_is_directed_instance", datatype="GPBoolean", parameterType="Optional", direction="Input") in_is_directed_instance.value = False # Search Radius in_radius = arcpy.Parameter( displayName="Input Search Radius (mile)", name="in_radius", datatype="GPString", parameterType="Required", direction="Input") in_radius.value = "10" out_location = arcpy.Parameter( displayName="Output Location", name="out_location", datatype="DEWorkspace", parameterType="Required", direction="Input") out_location.value = os.path.dirname(__file__) # Derived Output Point Feature Class Name out_points_name = arcpy.Parameter( displayName="Output Point Feature Class Name", name="out_points_name", datatype="GPString", parameterType="Required", direction="Input") # out_features.parameterDependencies = [in_buf_query_center.name] # out_features.schema.clone = True out_place_type_url = arcpy.Parameter( displayName="Output Place Type URL", name="out_place_type_url", datatype="GPString", parameterType="Derived", direction="Output") out_place_type_url.value = "" # out_place_type_url.parameterDependencies = [in_place_type.name] params = [in_buf_query_center, in_place_type, in_is_directed_instance, in_radius, out_location, out_points_name, out_place_type_url] return params def isLicensed(self): """Set whether tool is licensed to execute.""" return True def updateParameters(self, parameters): """Modify the values and properties of parameters before internal validation is performed. This method is called whenever a parameter has been changed.""" in_buf_query_center = parameters[0] in_place_type = parameters[1] in_is_directed_instance = parameters[2] in_radius = parameters[3] out_location = parameters[4] out_points_name = parameters[5] out_place_type_url = parameters[6] outLocation = out_location.valueAsText outFeatureClassName = out_points_name.valueAsText arcpy.env.workspace = outLocation if out_points_name.value and arcpy.Exists(os.path.join(outLocation, outFeatureClassName)): arcpy.AddError("The Output Point Feature Class Name already exists in the current workspace!") raise arcpy.ExecuteError if in_place_type.value: enterTypeText = in_place_type.valueAsText if "(" in enterTypeText: lastIndex = enterTypeText.rfind("(") placeType = enterTypeText[:lastIndex] else: placeType = enterTypeText # messages.addMessage("Use Input Type: {0}.".format(in_place_type.valueAsText)) queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/>""" entityTypeQuery = queryPrefix + """SELECT ?entityType ?entityTypeLabel WHERE { #?entity wdt:P31 ?entityType. ?entityType wdt:P279* wd:Q2221906. # retrieve the English label ?entityType rdfs:label ?entityTypeLabel . FILTER (LANG(?entityTypeLabel) = "en") FILTER REGEX(?entityTypeLabel, '""" + placeType + """') # show results ordered by distance } """ # sparqlParam = {'query':'SELECT ?item ?itemLabel WHERE{ ?item wdt:P31 wd:Q146 . SERVICE wikibase:label { bd:serviceParam wikibase:language "en" }}', 'format':'json'} entityTypeSparqlParam = {'query': entityTypeQuery, 'format': 'json'} # headers = {'Content-type': 'application/json', 'Accept': 'text/plain'} sparqlRequest = requests.get('https://query.wikidata.org/sparql', params=entityTypeSparqlParam) print(sparqlRequest.url) # messages.addMessage("URL: {0}.".format(sparqlRequest.url)) entityTypeJson = sparqlRequest.json()["results"]["bindings"] if len(entityTypeJson) == 0: arcpy.AddError("No entity type matches the user's input.") raise arcpy.ExecuteError else: in_place_type.filter.list = [enterTypeText] self.entityTypeLabel = [] self.entityTypeURLList = [] for jsonItem in entityTypeJson: label = jsonItem["entityTypeLabel"]["value"] wikiURL = jsonItem["entityType"]["value"] wikiURLLastIndex = wikiURL.rfind("/") wikiURLLastName = wikiURL[(wikiURLLastIndex+1):] self.entityTypeLabel.append(label+"("+"wd:"+wikiURLLastName+")") self.entityTypeURLList.append(wikiURL) # in_place_type.filter.list.append(jsonItem["entityTypeLabel"]["value"]) in_place_type.filter.list = in_place_type.filter.list + self.entityTypeLabel for i in range(len(self.entityTypeLabel)): # messages.addMessage("Label: {0}".format(self.entityTypeLabel[i])) if in_place_type.valueAsText == self.entityTypeLabel[i]: out_place_type_url.value = self.entityTypeURLList[i] return def updateMessages(self, parameters): """Modify the messages created by internal validation for each tool parameter. This method is called after internal validation.""" return def execute(self, parameters, messages): """The source code of the tool.""" in_buf_query_center = parameters[0] in_place_type = parameters[1] in_is_directed_instance = parameters[2] in_radius = parameters[3] out_location = parameters[4] out_points_name = parameters[5] out_place_type_url = parameters[6] inBufCenter = in_buf_query_center.valueAsText inPlaceType = in_place_type.valueAsText searchRadius = in_radius.valueAsText outLocation = out_location.valueAsText outFeatureClassName = out_points_name.valueAsText isDirectInstance = False if in_is_directed_instance.valueAsText == 'true': isDirectInstance = True elif in_is_directed_instance.valueAsText == 'false': isDirectInstance = False # arcpy.AddMessage(("in_is_directed_instance.valueAsText: {0}").format(in_is_directed_instance.valueAsText)) if ".gdb" in outLocation: # if the outputLocation is a file geodatabase, cancatnate the outputlocation with outFeatureClassName to create a feature class in current geodatabase out_path = os.path.join(outLocation,outFeatureClassName) else: # if the outputLocation is a folder, creats a shapefile in this folder out_path = os.path.join(outLocation,outFeatureClassName) + ".shp" # however, Relationship Class must be created in a geodatabase, so we forbid to create a shapfile # messages.addErrorMessage("Please enter a file geodatabase as output location in order to create a relation class") # raise arcpy.ExecuteError messages.addMessage("outpath: {0}".format(out_path)) selectedURL = out_place_type_url.valueAsText # messages.addMessage("len(self.entityTypeLabel): {0}".format(len(self.entityTypeLabel))) # for i in range(len(self.entityTypeLabel)): # messages.addMessage("Label: {0}".format(self.entityTypeLabel[i])) # if inPlaceType == self.entityTypeLabel[i]: # selectedURL = self.entityTypeURLList[i] messages.addMessage("selectedURL: {0}".format(selectedURL)) # Create a FeatureSet object and load in_memory feature class in_feature_set = arcpy.FeatureSet() in_feature_set.load(inBufCenter) in_feature_set_json = json.loads(in_feature_set.JSON) # messages.addMessage("Points: {0}".format(json.loads(in_feature_set.JSON))) # messages.addMessage("Point: {0}".format(json.loads(in_feature_set.JSON)['spatialReference']['wkid'])) WGS84Reference = arcpy.SpatialReference(4326) currentSpatialReference = arcpy.SpatialReference(in_feature_set_json['spatialReference']['latestWkid']) # a set of unique Coordinates for each input points # searchCoordsSet = Set() searchCoordsSet = [] for i in range(len(in_feature_set_json['features'])): lat = in_feature_set_json['features'][i]['geometry']['y'] lng = in_feature_set_json['features'][i]['geometry']['x'] coords = [lng, lat] searchCoordsSet.append(coords) # if i == 0: # searchCoordsSet.append(coords) # else: # if coords not in searchCoordsSet: # searchCoordsSet.add(coords) # searchCoordsSet = List(searchCoordsSet) # a set of unique Coordinates for each found places placeIRISet = Set() placeList = [] for coord in searchCoordsSet: lat = coord[1] lng = coord[0] # lat = in_feature_set_json['features'][0]['geometry']['y'] # lng = in_feature_set_json['features'][0]['geometry']['x'] if in_feature_set_json['spatialReference']['wkid'] != '4326' or in_feature_set_json['spatialReference']['latestWkid'] != '4326': WGS84PtGeometry = arcpy.PointGeometry(arcpy.Point(lng, lat), currentSpatialReference).projectAs(WGS84Reference) # messages.addMessage("My Coordinates: {0}".format(WGS84PtGeometry.WKT)) coordList = re.split("[( )]", WGS84PtGeometry.WKT) lat = coordList[3] lng = coordList[2] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX geo-pos: <http://www.w3.org/2003/01/geo/wgs84_pos#> PREFIX omgeo: <http://www.ontotext.com/owlim/geo#> PREFIX dbpedia: <http://dbpedia.org/resource/> PREFIX dbp-ont: <http://dbpedia.org/ontology/> PREFIX ff: <http://factforge.net/> PREFIX om: <http://www.ontotext.com/owlim/> PREFIX wikibase: <http://wikiba.se/ontology#> PREFIX bd: <http://www.bigdata.com/rdf#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX geo: <http://www.opengis.net/ont/geosparql#>""" if selectedURL != None: query = queryPrefix + """SELECT distinct ?place ?placeLabel ?distance ?location WHERE { # geospatial queries SERVICE wikibase:around { # get the coordinates of a place ?place wdt:P625 ?location . # create a buffer around (-122.4784360859997 37.81826788900048) bd:serviceParam wikibase:center "Point(""" + str(lng) + """ """ + str(lat) + """)"^^geo:wktLiteral . # buffer radius 2km bd:serviceParam wikibase:radius '"""+searchRadius+"""' . bd:serviceParam wikibase:distance ?distance . } # retrieve the English label SERVICE wikibase:label {bd:serviceParam wikibase:language "en". ?place rdfs:label ?placeLabel .}""" if isDirectInstance == False: query += """?place wdt:P31 ?placeFlatType. ?placeFlatType wdt:P279* <""" + selectedURL + """>.""" else: query += """?place wdt:P31 <""" + selectedURL + """>.""" # show results ordered by distance query += """} ORDER BY ?distance""" else: query = queryPrefix + """SELECT distinct ?place ?placeLabel ?distance ?location WHERE { # geospatial queries SERVICE wikibase:around { # get the coordinates of a place ?place wdt:P625 ?location . # create a buffer around (-122.4784360859997 37.81826788900048) bd:serviceParam wikibase:center "Point(""" + str(lng) + """ """ + str(lat) + """)"^^geo:wktLiteral . # buffer radius 2km bd:serviceParam wikibase:radius '"""+searchRadius+"""' . bd:serviceParam wikibase:distance ?distance . } # retrieve the English label SERVICE wikibase:label {bd:serviceParam wikibase:language "en". ?place rdfs:label ?placeLabel .} ?place wdt:P31 ?placeFlatType. ?placeFlatType wdt:P279* wd:Q2221906. # show results ordered by distance } ORDER BY ?distance""" sparqlParam = {'query': query, 'format': 'json'} sparqlRequest = requests.get('https://query.wikidata.org/sparql', params=sparqlParam) print(sparqlRequest.url) messages.addMessage("SPARQL: {0}".format(sparqlRequest.url)) bufferQueryResult = sparqlRequest.json()["results"]["bindings"] # if len(bufferQueryResult) == 0: # messages.addMessage("No {0} nearby the clicked place can be finded!".format(inPlaceType)) # # pythonaddins.MessageBox("No " + inPlaceType + " nearby the clicked place can be finded!", # # "Warning Message", 0) # else: for item in bufferQueryResult: print "%s\t%s\t%s\t%s" % ( item["place"]["value"], item["placeLabel"]["value"], item["distance"]["value"], item["location"]["value"]) if len(placeIRISet) == 0 or item["place"]["value"] not in placeIRISet: placeIRISet.add(item["place"]["value"]) coordItem = item["location"]["value"] coordList = re.split("[( )]", coordItem) itemlat = coordList[2] itemlng = coordList[1] placeList.append( [item["place"]["value"], item["placeLabel"]["value"], item["distance"]["value"], itemlat,itemlng]) if len(placeList) == 0: messages.addMessage("No {0} nearby the input point(s) can be finded!".format(inPlaceType)) else: # Spatial reference set to GCS_WGS_1984 spatial_reference = arcpy.SpatialReference(4326) # creat a Point feature class in arcpy pt = arcpy.Point() ptGeoms = [] for p in placeList: pt.X = float(p[4]) pt.Y = float(p[3]) pointGeometry = arcpy.PointGeometry(pt, spatial_reference) ptGeoms.append(pointGeometry) # out_path = pythonaddins.SaveDialog("Save Nearby Places", "placeNear", # os.path.dirname(arcpy.mapping.MapDocument("current").filePath), # FileGDBSave()) if out_path == None: messages.addMessage("No data will be added to the map document.") # pythonaddins.MessageBox("No data will be added to the map document.", "Warning Message", 0) else: # create a geometry Feature class to represent placeNearFeatureClass = arcpy.CopyFeatures_management(ptGeoms, out_path) labelFieldLength = Json2Field.fieldLengthDecide(bufferQueryResult, "placeLabel") arcpy.AddMessage("labelFieldLength: {0}".format(labelFieldLength)) # add field to this point feature class arcpy.AddField_management(placeNearFeatureClass, "Label", "TEXT", field_length=labelFieldLength) arcpy.AddField_management(placeNearFeatureClass, "URL", "TEXT", field_length=100) # arcpy.AddField_management(placeNearFeatureClass, "TypeURL", "TEXT", field_length=50) # arcpy.AddField_management(placeNearFeatureClass, "TypeName", "TEXT", field_length=50) # if selectedURL != None: # arcpy.AddField_management(placeNearFeatureClass, "BTypeURL", "TEXT", field_length=50) # arcpy.AddField_management(placeNearFeatureClass, "BTypeName", "TEXT", field_length=50) # arcpy.AddField_management(placeNearFeatureClass, "Latitude", "TEXT", 10, 10) # arcpy.AddField_management(placeNearFeatureClass, "Longitude", "TEXT", 10, 10) arcpy.AddXY_management(placeNearFeatureClass) # add label, latitude, longitude value to this point feature class i = 0 cursor = arcpy.UpdateCursor(out_path) row = cursor.next() while row: row.setValue("Label", placeList[i][1]) row.setValue("URL", placeList[i][0]) # row.setValue("TypeURL", placeList[i][5]) # row.setValue("TypeName", placeList[i][6]) cursor.updateRow(row) i = i + 1 row = cursor.next() # if selectedURL != None: # i = 0 # cursor = arcpy.UpdateCursor(out_path) # row = cursor.next() # while row: # row.setValue("BTypeURL", selectedURL) # row.setValue("BTypeName", inPlaceType) # cursor.updateRow(row) # i = i + 1 # row = cursor.next() # get the map document # mxd = arcpy.mapping.MapDocument( # r"D:\UCSB_STKO_Lab\STKO Research\research\DBpedia-Search-plugin\wiki1.mxd") mxd = arcpy.mapping.MapDocument("CURRENT") # get the data frame df = arcpy.mapping.ListDataFrames(mxd)[0] # create a new layer placeNearLayer = arcpy.mapping.Layer(out_path) # add the layer to the map at the bottom of the TOC in data frame 0 arcpy.mapping.AddLayer(df, placeNearLayer, "BOTTOM") return class LinkedDataPropertyEnrich(object): count = 0 propertyNameList = [] propertyURLList = [] propertyURLDict = dict() inversePropertyNameList = [] inversePropertyURLList = [] inversePropertyURLDict = dict() expandedPropertyNameList = [] expandedPropertyURLList = [] expandedPropertyURLDict = dict() inverseExpandedPropertyNameList = [] inverseExpandedPropertyURLList = [] inverseExpandedPropertyURLDict = dict() # FunctionalPropertySet = Set() # noFunctionalPropertyURLList = [] # noFunctionalPropertyNameList = [] # noFunctionalPropertyURLDict = dict() def __init__(self): """Define the tool (tool name is the name of the class).""" self.label = "Linked Data Location Entities Property Enrichment" self.description = "Get the most common properties from DBpedia according to input wikidata location entity IRI" self.canRunInBackground = False # self.propertyURLList = [] #propertyNameList = [] LinkedDataPropertyEnrich.count += 1 def getParameterInfo(self): """Define parameter definitions""" # The input Feature class which is the output of LinkedDataAnalysis Tool, "URL" column should be included in the attribute table in_wikiplace_IRI = arcpy.Parameter( displayName="Input wikidata location entities Feature Class", name="in_wikiplace_IRI", datatype="DEFeatureClass", parameterType="Required", direction="Input") # Use __file__ attribute to find the .lyr file (assuming the # .pyt and .lyr files exist in the same folder) in_wikiplace_IRI.filter.list = ["Point"] # Choose place type for search in_com_property = arcpy.Parameter( displayName="Common Properties", name="in_com_property", datatype="GPString", parameterType="Optional", direction="Input", multiValue=True) # in_com_property.parameterDependencies = [in_wikiplace_IRI.name] # in_com_property.columns =([["GPString", "GPString"], ["GPString","GPString"]]) # in_com_property.filters[0].type = 'ValueList' # in_com_property.filters[0].list = [] # in_com_property.filters[1].type = 'ValueList' # in_com_property.filters[1].list = [] in_com_property.filter.type = "ValueList" in_com_property.filter.list = [] in_boolean_inverse_com = arcpy.Parameter( displayName="Get Inverse Common Properties", name="in_boolean_inverse_com", datatype="GPBoolean", parameterType="Optional", direction="Input") in_boolean_inverse_com.value = False in_inverse_com_property = arcpy.Parameter( displayName="Inverse Common Properties", name="in_inverse_com_property", datatype="GPString", parameterType="Optional", direction="Input", multiValue=True) in_inverse_com_property.filter.type = "ValueList" in_inverse_com_property.filter.list = [] in_inverse_com_property.enabled = False in_boolean_isPartOf = arcpy.Parameter( displayName="Get Expanded Common Properties by following Transitive Inverse Partonomical and Subdivision Paths", name="in_boolean_isPartOf", datatype="GPBoolean", parameterType="Optional", direction="Input") in_boolean_isPartOf.value = False in_expanded_com_property = arcpy.Parameter( displayName="Expanded Common Properties", name="in_expanded_com_property", datatype="GPString", parameterType="Optional", direction="Input", multiValue=True) in_expanded_com_property.filter.type = "ValueList" in_expanded_com_property.filter.list = [] in_expanded_com_property.enabled = False in_boolean_inverse_expanded_com = arcpy.Parameter( displayName="Get Inverse Expanded Common Properties", name="in_boolean_inverse_expanded_com", datatype="GPBoolean", parameterType="Optional", direction="Input") in_boolean_inverse_expanded_com.value = False in_inverse_expanded_com_property = arcpy.Parameter( displayName="Inverse Expanded Common Properties", name="in_inverse_expanded_com_property", datatype="GPString", parameterType="Optional", direction="Input", multiValue=True) in_inverse_expanded_com_property.filter.type = "ValueList" in_inverse_expanded_com_property.filter.list = [] in_inverse_expanded_com_property.enabled = False # out_location = arcpy.Parameter( # displayName="Output Location", # name="out_location", # datatype="DEWorkspace", # parameterType="Required", # direction="Input") # out_location.value = os.path.dirname(__file__) # # Derived Output Property Table Name # out_property_table_name = arcpy.Parameter( # displayName="Output Property Table Name", # name="out_property_table_name", # datatype="GPString", # parameterType="Required", # direction="Input") # # Save the select property URL # out_com_property_URL = arcpy.Parameter( # displayName="Common Property", # name="out_com_property_URL", # datatype="GPString", # parameterType="Derived", # direction="Output", # multiValue=True) # out_com_property_URL.filter.type = "ValueList" # out_com_property_URL.filter.list = [] # params = [in_wikiplace_IRI, in_com_property, out_location, out_property_table_name, out_com_property_URL] params = [in_wikiplace_IRI, in_com_property, in_boolean_inverse_com, in_inverse_com_property, in_boolean_isPartOf, in_expanded_com_property, in_boolean_inverse_expanded_com, in_inverse_expanded_com_property] return params def isLicensed(self): """Set whether tool is licensed to execute.""" return True def updateParameters(self, parameters): """Modify the values and properties of parameters before internal validation is performed. This method is called whenever a parameter has been changed.""" in_wikiplace_IRI = parameters[0] in_com_property = parameters[1] in_boolean_inverse_com = parameters[2] in_inverse_com_property = parameters[3] in_boolean_isPartOf = parameters[4] in_expanded_com_property = parameters[5] in_boolean_inverse_expanded_com = parameters[6] in_inverse_expanded_com_property = parameters[7] # out_location = parameters[2] # out_property_table_name = parameters[3] # out_com_property_URL = parameters[4] isInverse = False if in_boolean_inverse_com.valueAsText == 'true': isInverse = True elif in_boolean_inverse_com.valueAsText == 'false': isInverse = False isExpandedPartOf = False if in_boolean_isPartOf.valueAsText == 'true': isExpandedPartOf = True elif in_boolean_isPartOf.valueAsText == 'false': isExpandedPartOf = False isInverseExpanded = False if in_boolean_inverse_expanded_com.valueAsText == 'true': isInverseExpanded = True elif in_boolean_inverse_expanded_com.valueAsText == 'false': isInverseExpanded = False arcpy.AddMessage(("in_boolean_isPartOf.valueAsText: {0}").format(in_boolean_isPartOf.valueAsText)) if isInverse == False: in_inverse_com_property.enabled = False else: in_inverse_com_property.enabled = True if isExpandedPartOf == False: in_expanded_com_property.enabled = False in_inverse_expanded_com_property.enabled = False else: in_expanded_com_property.enabled = True if isInverseExpanded == False: in_inverse_expanded_com_property.enabled = False else: in_inverse_expanded_com_property.enabled = True if in_wikiplace_IRI.value: inputFeatureClassName = in_wikiplace_IRI.valueAsText arcpy.AddMessage("{0}".format(inputFeatureClassName)) # inputFeatureClass = arcpy.Describe(inputFeatureClassName) fieldList = arcpy.ListFields(inputFeatureClassName) isURLinFieldList = False for field in fieldList: if field.name == "URL": isURLinFieldList = True if isURLinFieldList == False: arcpy.AddErrorMessage("Please a point feature class which include a 'URL' Field for the wikidata IRI of this entity") raise arcpy.ExecuteError else: # update the output directory of this tool to the same geodatabase lastIndexOFGDB = inputFeatureClassName.rfind("\\") outputLocation = inputFeatureClassName[:lastIndexOFGDB] # out_location.value = outputLocation # get all the IRI from input point feature class of wikidata places inplaceIRIList = [] cursor = arcpy.SearchCursor(inputFeatureClassName) for row in cursor: inplaceIRIList.append(row.getValue("URL")) if len(inplaceIRIList) == 0: arcpy.AddMessage("Input Feature class do not have record") raise arcpy.ExecuteError else: # get the direct common property commonPropertyJSONObj = SPARQLQuery.commonPropertyQuery(inplaceIRIList) commonPropertyJSON = commonPropertyJSONObj["results"]["bindings"] if len(commonPropertyJSON) == 0: arcpy.AddMessage("No property find.") raise arcpy.ExecuteError else: LinkedDataPropertyEnrich.propertyURLList = [] LinkedDataPropertyEnrich.propertyNameList = [] LinkedDataPropertyEnrich.propertyURLDict = dict() # LinkedDataPropertyEnrich.FunctionalPropertySet = Set() # LinkedDataPropertyEnrich.noFunctionalPropertyURLList = [] # LinkedDataPropertyEnrich.noFunctionalPropertyNameList = [] # LinkedDataPropertyEnrich.noFunctionalPropertyURLDict = dict() for jsonItem in commonPropertyJSON: propertyURL = jsonItem["p"]["value"] if "http://dbpedia.org/ontology/" in propertyURL or "http://dbpedia.org/property/" in propertyURL: if propertyURL not in LinkedDataPropertyEnrich.propertyURLList: LinkedDataPropertyEnrich.propertyURLList.append(propertyURL) lastIndex = propertyURL.rfind("/") propertyName = propertyURL[(lastIndex+1):] if "http://dbpedia.org/ontology/" in propertyURL: lastIndex = len("http://dbpedia.org/ontology/") propertyName = propertyURL[lastIndex:] propertyName = "dbo:" + propertyName + "(" + jsonItem["NumofSub"]["value"] + ")" elif "http://dbpedia.org/property/" in propertyURL: lastIndex = len("http://dbpedia.org/property/") propertyName = propertyURL[lastIndex:] propertyName = "dbp:" + propertyName + "(" + jsonItem["NumofSub"]["value"] + ")" # propertyName = propertyName + "(" + jsonItem["NumofSub"]["value"] + ")" LinkedDataPropertyEnrich.propertyNameList.append(propertyName) # propertyNameURLList.append(propertyURL + " " +propertyName) LinkedDataPropertyEnrich.propertyURLDict = dict(zip(LinkedDataPropertyEnrich.propertyNameList, LinkedDataPropertyEnrich.propertyURLList)) in_com_property.filter.list = LinkedDataPropertyEnrich.propertyNameList # in_com_property.filters[0] = LinkedDataPropertyEnrich.propertyNameList # in_com_property.filter.list = LinkedDataPropertyEnrich.propertyNameList # in_com_property.filters[0].list = LinkedDataPropertyEnrich.propertyNameList # in_com_property.filters[1].list = LinkedDataPropertyEnrich.propertyURLList # arcpy.AddMessage("URLLIst: {0}".format(LinkedDataPropertyEnrich.propertyURLList)) # arcpy.AddMessage("NameLIst: {0}".format(LinkedDataPropertyEnrich.propertyNameList)) # out_com_property_URL.filter.list = LinkedDataPropertyEnrich.propertyURLList # get the inverse direct common property if isInverse == True: inverseCommonPropertyJSONObj = SPARQLQuery.inverseCommonPropertyQuery(inplaceIRIList) inverseCommonPropertyJSON = inverseCommonPropertyJSONObj["results"]["bindings"] if len(inverseCommonPropertyJSON) == 0: arcpy.AddMessage("No inverse property find.") raise arcpy.ExecuteError else: LinkedDataPropertyEnrich.inversePropertyNameList = [] LinkedDataPropertyEnrich.inversePropertyURLList = [] LinkedDataPropertyEnrich.inversePropertyURLDict = dict() # LinkedDataPropertyEnrich.propertyURLList = [] # LinkedDataPropertyEnrich.propertyNameList = [] # LinkedDataPropertyEnrich.propertyURLDict = dict() for jsonItem in inverseCommonPropertyJSON: propertyURL = jsonItem["p"]["value"] if "http://dbpedia.org/ontology/" in propertyURL or "http://dbpedia.org/property/" in propertyURL: if propertyURL not in LinkedDataPropertyEnrich.inversePropertyURLList: LinkedDataPropertyEnrich.inversePropertyURLList.append(propertyURL) # lastIndex = propertyURL.rfind("/") # propertyName = propertyURL[(lastIndex+1):] if "http://dbpedia.org/ontology/" in propertyURL: lastIndex = len("http://dbpedia.org/ontology/") propertyName = propertyURL[lastIndex:] propertyName = "is dbo:" + propertyName + " Of (" + jsonItem["NumofSub"]["value"] + ")" elif "http://dbpedia.org/property/" in propertyURL: lastIndex = len("http://dbpedia.org/property/") propertyName = propertyURL[lastIndex:] propertyName = "is dbp:" + propertyName + " Of (" + jsonItem["NumofSub"]["value"] + ")" # propertyName = propertyName + "(" + jsonItem["NumofSub"]["value"] + ")" LinkedDataPropertyEnrich.inversePropertyNameList.append(propertyName) # propertyNameURLList.append(propertyURL + " " +propertyName) LinkedDataPropertyEnrich.inversePropertyURLDict = dict(zip(LinkedDataPropertyEnrich.inversePropertyNameList, LinkedDataPropertyEnrich.inversePropertyURLList)) in_inverse_com_property.filter.list = LinkedDataPropertyEnrich.inversePropertyNameList if isExpandedPartOf == True: expandedCommonPropertyJSONObj = SPARQLQuery.locationDBpediaExpandedCommonPropertyQuery(inplaceIRIList) expandedCommonPropertyJSON = expandedCommonPropertyJSONObj["results"]["bindings"] if len(expandedCommonPropertyJSON) == 0: arcpy.AddMessage("No expanded property find.") raise arcpy.ExecuteError else: # LinkedDataPropertyEnrich.propertyURLList = [] # LinkedDataPropertyEnrich.propertyNameList = [] # LinkedDataPropertyEnrich.propertyURLDict = dict() # LinkedDataPropertyEnrich.FunctionalPropertySet = Set() LinkedDataPropertyEnrich.expandedPropertyNameList = [] LinkedDataPropertyEnrich.expandedPropertyURLList = [] LinkedDataPropertyEnrich.expandedPropertyURLDict = dict() for jsonItem in expandedCommonPropertyJSON: propertyURL = jsonItem["p"]["value"] if "http://dbpedia.org/ontology/" in propertyURL or "http://dbpedia.org/property/" in propertyURL: if propertyURL not in LinkedDataPropertyEnrich.expandedPropertyURLList: LinkedDataPropertyEnrich.expandedPropertyURLList.append(propertyURL) # lastIndex = propertyURL.rfind("/") # propertyName = propertyURL[(lastIndex+1):] if "http://dbpedia.org/ontology/" in propertyURL: lastIndex = len("http://dbpedia.org/ontology/") propertyName = propertyURL[lastIndex:] propertyName = "dbo:" + propertyName + "(" + jsonItem["NumofSub"]["value"] + ")" elif "http://dbpedia.org/property/" in propertyURL: lastIndex = len("http://dbpedia.org/property/") propertyName = propertyURL[lastIndex:] propertyName = "dbp:" + propertyName + "(" + jsonItem["NumofSub"]["value"] + ")" # propertyName = propertyName + "(" + jsonItem["NumofSub"]["value"] + ")" LinkedDataPropertyEnrich.expandedPropertyNameList.append(propertyName) # propertyNameURLList.append(propertyURL + " " +propertyName) LinkedDataPropertyEnrich.expandedPropertyURLDict = dict(zip(LinkedDataPropertyEnrich.expandedPropertyNameList, LinkedDataPropertyEnrich.expandedPropertyURLList)) in_expanded_com_property.filter.list = LinkedDataPropertyEnrich.expandedPropertyNameList if isInverseExpanded == True: inverseExpandedCommonPropertyJSONObj = SPARQLQuery.locationDBpediaInverseExpandedCommonPropertyQuery(inplaceIRIList) inverseExpandedCommonPropertyJSON = inverseExpandedCommonPropertyJSONObj["results"]["bindings"] if len(inverseExpandedCommonPropertyJSON) == 0: arcpy.AddMessage("No inverse expanded property find.") raise arcpy.ExecuteError else: # LinkedDataPropertyEnrich.propertyURLList = [] # LinkedDataPropertyEnrich.propertyNameList = [] # LinkedDataPropertyEnrich.propertyURLDict = dict() # LinkedDataPropertyEnrich.FunctionalPropertySet = Set() LinkedDataPropertyEnrich.inverseExpandedPropertyNameList = [] LinkedDataPropertyEnrich.inverseExpandedPropertyURLList = [] LinkedDataPropertyEnrich.inverseExpandedPropertyURLDict = dict() for jsonItem in inverseExpandedCommonPropertyJSON: propertyURL = jsonItem["p"]["value"] if "http://dbpedia.org/ontology/" in propertyURL or "http://dbpedia.org/property/" in propertyURL: if propertyURL not in LinkedDataPropertyEnrich.inverseExpandedPropertyURLList: LinkedDataPropertyEnrich.inverseExpandedPropertyURLList.append(propertyURL) if "http://dbpedia.org/ontology/" in propertyURL: lastIndex = len("http://dbpedia.org/ontology/") propertyName = propertyURL[lastIndex:] propertyName = "is dbo:" + propertyName + " Of (" + jsonItem["NumofSub"]["value"] + ")" elif "http://dbpedia.org/property/" in propertyURL: lastIndex = len("http://dbpedia.org/property/") propertyName = propertyURL[lastIndex:] propertyName = "is dbp:" + propertyName + " Of (" + jsonItem["NumofSub"]["value"] + ")" # propertyName = propertyName + "(" + jsonItem["NumofSub"]["value"] + ")" LinkedDataPropertyEnrich.inverseExpandedPropertyNameList.append(propertyName) # propertyNameURLList.append(propertyURL + " " +propertyName) LinkedDataPropertyEnrich.inverseExpandedPropertyURLDict = dict(zip(LinkedDataPropertyEnrich.inverseExpandedPropertyNameList, LinkedDataPropertyEnrich.inverseExpandedPropertyURLList)) in_inverse_expanded_com_property.filter.list = LinkedDataPropertyEnrich.inverseExpandedPropertyNameList # # send a SPARQL query to DBpedia endpoint to test whether the properties are functionalProperty # isFuncnalPropertyJSONObj = SPARQLQuery.functionalPropertyQuery(LinkedDataPropertyEnrich.propertyURLList) # isFuncnalPropertyJSON = isFuncnalPropertyJSONObj["results"]["bindings"] # FunctionalPropertySet = Set() # for jsonItem in isFuncnalPropertyJSON: # functionalPropertyURL = jsonItem["property"]["value"] # FunctionalPropertySet.add(functionalPropertyURL) # LinkedDataPropertyEnrich.FunctionalPropertySet = FunctionalPropertySet # use set differences to get the no functional property set # propertyURLSet = Set(LinkedDataPropertyEnrich.propertyURLList) # noFunctionalPropertySet = propertyURLSet.difference(FunctionalPropertySet) # LinkedDataPropertyEnrich.noFunctionalPropertyURLList = list(noFunctionalPropertySet) # for propertyURL in LinkedDataPropertyEnrich.noFunctionalPropertyURLList: # if "http://dbpedia.org/ontology/" in propertyURL: # lastIndex = len("http://dbpedia.org/ontology/") # propertyName = propertyURL[lastIndex:] # propertyName = "dbo:" + propertyName # elif "http://dbpedia.org/property/" in propertyURL: # lastIndex = len("http://dbpedia.org/property/") # propertyName = propertyURL[lastIndex:] # propertyName = "dbp:" + propertyName # LinkedDataPropertyEnrich.noFunctionalPropertyNameList.append(propertyName) # LinkedDataPropertyEnrich.noFunctionalPropertyURLDict = dict(zip(LinkedDataPropertyEnrich.noFunctionalPropertyNameList, LinkedDataPropertyEnrich.noFunctionalPropertyURLList)) return def updateMessages(self, parameters): """Modify the messages created by internal validation for each tool parameter. This method is called after internal validation.""" return def execute(self, parameters, messages): """The source code of the tool.""" in_wikiplace_IRI = parameters[0] in_com_property = parameters[1] in_boolean_inverse_com = parameters[2] in_inverse_com_property = parameters[3] in_boolean_isPartOf = parameters[4] in_expanded_com_property = parameters[5] in_boolean_inverse_expanded_com = parameters[6] in_inverse_expanded_com_property = parameters[7] # out_location = parameters[2] # out_property_table_name = parameters[3] # out_com_property_URL = parameters[4] # arcpy.AddMessage("propertyNameList: {0}".format(LinkedDataPropertyEnrich.propertyNameList)) # arcpy.AddMessage("propertyURLList: {0}".format(LinkedDataPropertyEnrich.propertyURLList)) isInverse = False if in_boolean_inverse_com.valueAsText == 'true': isInverse = True elif in_boolean_inverse_com.valueAsText == 'false': isInverse = False isExpandedPartOf = False if in_boolean_isPartOf.valueAsText == 'true': isExpandedPartOf = True elif in_boolean_isPartOf.valueAsText == 'false': isExpandedPartOf = False isInverseExpanded = False if in_boolean_inverse_expanded_com.valueAsText == 'true': isInverseExpanded = True elif in_boolean_inverse_expanded_com.valueAsText == 'false': isInverseExpanded = False arcpy.AddMessage(("in_boolean_isPartOf.valueAsText: {0}").format(in_boolean_isPartOf.valueAsText)) for URL in LinkedDataPropertyEnrich.propertyURLList: arcpy.AddMessage(URL) arcpy.AddMessage("count: {0}".format(LinkedDataPropertyEnrich.count)) # arcpy.AddMessage("FunctionalPropertySet: {0}".format(LinkedDataPropertyEnrich.FunctionalPropertySet)) inputFeatureClassName = in_wikiplace_IRI.valueAsText lastIndexOFGDB = inputFeatureClassName.rfind("\\") outputLocation = inputFeatureClassName[:lastIndexOFGDB] if outputLocation.endswith(".gdb") == False: messages.addErrorMessage("Please enter a feature class in file geodatabase for the input feature class in order to create a relation class") raise arcpy.ExecuteError else: arcpy.env.workspace = outputLocation lastIndexOFFeatureClassName = inputFeatureClassName.rfind("\\") featureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] # get all the IRI from input point feature class of wikidata places inplaceIRIList = [] cursor = arcpy.SearchCursor(inputFeatureClassName) for row in cursor: inplaceIRIList.append(row.getValue("URL")) # send a SPARQL query to DBpedia endpoint to get the DBpedia IRI according to wikidata IRI dbpediaIRIJSONObj = SPARQLQuery.dbpediaIRIQuery(inplaceIRIList) dbpediaIRIJSON = dbpediaIRIJSONObj["results"]["bindings"] # according to dbpediaIRIJSON, add or update the field "DBpediaURL" in inputFeatureClass table Json2Field.addOrUpdateFieldInTableByMapping(dbpediaIRIJSON, "wikidataSub", "DBpediaSub", inputFeatureClassName, "URL", "DBpediaURL") # if outputLocation != out_location.valueAsText: # messages.addErrorMessage("Please make the output location the same geodatabase as the input Feature class") # raise arcpy.ExecuteError # else: arcpy.AddMessage(in_com_property.valueAsText) propertySelect = in_com_property.valueAsText selectPropertyURLList = [] if propertySelect != None: propertySplitList = re.split("[;]", propertySelect) for propertyItem in propertySplitList: # lastIndex = propertyItem.rfind("(") # propertyItem = propertyItem[:lastIndex] selectPropertyURLList.append(LinkedDataPropertyEnrich.propertyURLDict[propertyItem]) # propertyURL = "http://dbpedia.org/ontology/" + propertyItem[:lastIndex] # LinkedDataPropertyEnrich.propertyURLList.append(propertyURL) # arcpy.AddMessage("URLList: {0}".format(LinkedDataPropertyEnrich.propertyURLList)) # # send a SPARQL query to DBpedia endpoint to test whether the user selected properties are functionalProperty # isFuncnalPropertyALLJSONObj = SPARQLQuery.functionalPropertyQuery(LinkedDataPropertyEnrich.propertyURLList) # isFuncnalPropertyALLJSON = isFuncnalPropertyALLJSONObj["results"]["bindings"] # send a SPARQL query to DBpedia endpoint to test whether the user selected properties are functionalProperty # isFuncnalPropertyJSONObj = SPARQLQuery.functionalPropertyQuery(selectPropertyURLList) # isFuncnalPropertyJSON = isFuncnalPropertyJSONObj["results"]["bindings"] # FuncnalPropertySet = Set() # for jsonItem in isFuncnalPropertyJSON: # functionalPropertyURL = jsonItem["property"]["value"] # FuncnalPropertySet.add(functionalPropertyURL) # send a SPARQL query to DBpedia endpoint to test whether the properties are functionalProperty isFuncnalPropertyJSON = SPARQLQuery.functionalPropertyQuery(selectPropertyURLList) # isFuncnalPropertyJSON = isFuncnalPropertyJSONObj["results"]["bindings"] FunctionalPropertySet = Set() for jsonItem in isFuncnalPropertyJSON: functionalPropertyURL = jsonItem["property"]["value"] FunctionalPropertySet.add(functionalPropertyURL) # LinkedDataPropertyEnrich.FunctionalPropertySet = FunctionalPropertySet # # the selected functional properties # functionalPropertySet = Set() # FuncnalPropertySet = Set() # for propertyURL in selectPropertyURLList: # if propertyURL in LinkedDataPropertyEnrich.FunctionalPropertySet: # functionalPropertySet.add(propertyURL) arcpy.AddMessage("FunctionalPropertySet: {0}".format(FunctionalPropertySet)) # get the value for each functionalProperty FuncnalPropertyList = list(FunctionalPropertySet) # add these functionalProperty value to feature class table for functionalProperty in FuncnalPropertyList: functionalPropertyJSON = SPARQLQuery.propertyValueQuery(inplaceIRIList, functionalProperty) # functionalPropertyJSON = functionalPropertyJSONObj["results"]["bindings"] Json2Field.addFieldInTableByMapping(functionalPropertyJSON, "wikidataSub", "o", inputFeatureClassName, "URL", functionalProperty, False) selectPropertyURLSet = Set(selectPropertyURLList) noFunctionalPropertySet = selectPropertyURLSet.difference(FunctionalPropertySet) noFunctionalPropertyList = list(noFunctionalPropertySet) for noFunctionalProperty in noFunctionalPropertyList: noFunctionalPropertyJSON = SPARQLQuery.propertyValueQuery(inplaceIRIList, noFunctionalProperty) # noFunctionalPropertyJSON = noFunctionalPropertyJSONObj["results"]["bindings"] # create a seperate table to store one-to-many property value, return the created table name tableName = Json2Field.createMappingTableFromJSON(noFunctionalPropertyJSON, "wikidataSub", "o", noFunctionalProperty, inputFeatureClassName, "wikiURL", False, False) # creat relationship class between the original feature class and the created table relationshipClassName = featureClassName + "_" + tableName + "_RelClass" arcpy.CreateRelationshipClass_management(featureClassName, tableName, relationshipClassName, "SIMPLE", noFunctionalProperty, "features from wikidata", "FORWARD", "ONE_TO_MANY", "NONE", "URL", "wikiURL") # if the user want the inverse properties if isInverse == True: inversePropertySelect = in_inverse_com_property.valueAsText arcpy.AddMessage("LinkedDataPropertyEnrich.inversePropertyURLDict: {0}".format(LinkedDataPropertyEnrich.inversePropertyURLDict)) arcpy.AddMessage("inversePropertySelect: {0}".format(inversePropertySelect)) selectInversePropertyURLList = [] inversePropertySplitList = re.split("[;]", inversePropertySelect) for propertyItem in inversePropertySplitList: selectInversePropertyURLList.append(LinkedDataPropertyEnrich.inversePropertyURLDict[propertyItem.split("\'")[1]]) # send a SPARQL query to DBpedia endpoint to test whether the properties are InverseFunctionalProperty isInverseFuncnalPropertyJSON = SPARQLQuery.inverseFunctionalPropertyQuery(selectInversePropertyURLList) # isFuncnalPropertyJSON = isFuncnalPropertyJSONObj["results"]["bindings"] inverseFunctionalPropertySet = Set() for jsonItem in isInverseFuncnalPropertyJSON: inverseFunctionalPropertyURL = jsonItem["property"]["value"] inverseFunctionalPropertySet.add(inverseFunctionalPropertyURL) arcpy.AddMessage("inverseFunctionalPropertySet: {0}".format(inverseFunctionalPropertySet)) # get the value for each functionalProperty inverseFuncnalPropertyList = list(inverseFunctionalPropertySet) # add these inverseFunctionalProperty subject value to feature class table for inverseFunctionalProperty in inverseFuncnalPropertyList: inverseFunctionalPropertyJSON = SPARQLQuery.inversePropertyValueQuery(inplaceIRIList, inverseFunctionalProperty) # functionalPropertyJSON = functionalPropertyJSONObj["results"]["bindings"] Json2Field.addFieldInTableByMapping(inverseFunctionalPropertyJSON, "wikidataSub", "o", inputFeatureClassName, "URL", inverseFunctionalProperty, True) selectInversePropertyURLSet = Set(selectInversePropertyURLList) noFunctionalInversePropertySet = selectInversePropertyURLSet.difference(inverseFunctionalPropertySet) noFunctionalInversePropertyList = list(noFunctionalInversePropertySet) for noFunctionalInverseProperty in noFunctionalInversePropertyList: noFunctionalInversePropertyJSON = SPARQLQuery.inversePropertyValueQuery(inplaceIRIList, noFunctionalInverseProperty) # noFunctionalPropertyJSON = noFunctionalPropertyJSONObj["results"]["bindings"] # create a seperate table to store one-to-many property-subject pair, return the created table name tableName = Json2Field.createMappingTableFromJSON(noFunctionalInversePropertyJSON, "wikidataSub", "o", noFunctionalInverseProperty, inputFeatureClassName, "wikiURL", True, False) # creat relationship class between the original feature class and the created table relationshipClassName = featureClassName + "_" + tableName + "_RelClass" arcpy.AddMessage("featureClassName: {0}".format(featureClassName)) arcpy.AddMessage("tableName: {0}".format(tableName)) arcpy.CreateRelationshipClass_management(featureClassName, tableName, relationshipClassName, "SIMPLE", noFunctionalInverseProperty, "features from wikidata", "FORWARD", "ONE_TO_MANY", "NONE", "URL", "wikiURL") # if the user want the expanded properties if isExpandedPartOf == True: arcpy.AddMessage(in_expanded_com_property.valueAsText) expandedPropertySelect = in_expanded_com_property.valueAsText selectExpandedPropertyURLList = [] expandedPropertySplitList = re.split("[;]", expandedPropertySelect) for propertyItem in expandedPropertySplitList: selectExpandedPropertyURLList.append(LinkedDataPropertyEnrich.expandedPropertyURLDict[propertyItem]) isPartOfReverseTransiveJSON = SPARQLQuery.isPartOfReverseTransiveQuery(inplaceIRIList) # create a seperate table to store "isPartOf" transitive relationship, return the created table name isPartOfTableName = Json2Field.createMappingTableFromJSON(isPartOfReverseTransiveJSON, "wikidataSub", "subDivision", "http://dbpedia.org/ontology/isPartOf_reverse_Transtive", inputFeatureClassName, "wikiURL", False, True) # creat relationship class between the original feature class and the created table isPartOfRelationshipClassName = featureClassName + "_" + isPartOfTableName + "_RelClass" arcpy.CreateRelationshipClass_management(featureClassName, isPartOfTableName, isPartOfRelationshipClassName, "SIMPLE", "is \"http://dbpedia.org/ontology/isPartOf+\" of", "http://dbpedia.org/ontology/isPartOf+", "FORWARD", "ONE_TO_MANY", "NONE", "URL", "wikiURL") # send a SPARQL query to DBpedia endpoint to test whether the properties are functionalProperty isFuncnalExpandedPropertyJSON = SPARQLQuery.functionalPropertyQuery(selectExpandedPropertyURLList) # isFuncnalPropertyJSON = isFuncnalPropertyJSONObj["results"]["bindings"] FunctionalExpandedPropertySet = Set() for jsonItem in isFuncnalExpandedPropertyJSON: functionalPropertyURL = jsonItem["property"]["value"] FunctionalExpandedPropertySet.add(functionalPropertyURL) # get the value for each functionalProperty FuncnalExpandedPropertyList = list(FunctionalExpandedPropertySet) # add these functionalProperty value to feature class table for functionalProperty in FuncnalExpandedPropertyList: functionalPropertyJSON = SPARQLQuery.expandedPropertyValueQuery(inplaceIRIList, functionalProperty) Json2Field.addFieldInTableByMapping(functionalPropertyJSON, "subDivision", "o", os.path.join(outputLocation, isPartOfTableName), "subDivisionIRI", functionalProperty, False) # Json2Field.addFieldInMultiKeyTableByMapping(jsonBindingObject, keyPropertyNameList, valuePropertyName, inputFeatureClassName, keyPropertyFieldNameList, valuePropertyURL, isInverse) selectExpandedPropertyURLSet = Set(selectExpandedPropertyURLList) noFunctionalExpandedPropertySet = selectExpandedPropertyURLSet.difference(FunctionalExpandedPropertySet) noFunctionalExpandedPropertyList = list(noFunctionalExpandedPropertySet) # SPARQLQuery.expandedPropertyValueQuery(inplaceIRIList, propertyURL) select ?wikidataSub ?subDivision ?o # createMappingTableFromJSON(jsonBindingObject, keyPropertyName, valuePropertyName, valuePropertyURL, inputFeatureClassName, keyPropertyFieldName) for propertyURL in noFunctionalExpandedPropertyList: expandedPropertyValueJSON = SPARQLQuery.expandedPropertyValueQuery(inplaceIRIList, propertyURL) # create a seperate table to store the value of the property of the subDivision got from "isPartOf" transitive relationship, return the created table name subDivisionValueTableName = Json2Field.createMappingTableFromJSON(expandedPropertyValueJSON, "subDivision", "o", propertyURL, os.path.join(outputLocation, isPartOfTableName), "DBpediaIRI", False, False) # creat relationship class between the isPartOfTableName and the created table subDivisionValueRelationshipClassName = isPartOfTableName + "_" + subDivisionValueTableName + "_RelClass" arcpy.CreateRelationshipClass_management(os.path.join(outputLocation, isPartOfTableName), subDivisionValueTableName, subDivisionValueRelationshipClassName, "SIMPLE", propertyURL, "Super Division of DBpediaIRI following \"isPartOf+\"", "FORWARD", "ONE_TO_MANY", "NONE", "subDivisionIRI", "DBpediaIRI") if isInverseExpanded == True: arcpy.AddMessage(in_inverse_expanded_com_property.valueAsText) inverseExpandedPropertySelect = in_inverse_expanded_com_property.valueAsText selectInverseExpandedPropertyURLList = [] inverseExpandedPropertySplitList = re.split("[;]", inverseExpandedPropertySelect) for propertyItem in inverseExpandedPropertySplitList: selectInverseExpandedPropertyURLList.append(LinkedDataPropertyEnrich.inverseExpandedPropertyURLDict[propertyItem.split("\'")[1]]) # send a SPARQL query to DBpedia endpoint to test whether the properties are InverseFunctionalProperty isFuncnalInverseExpandedPropertyJSON = SPARQLQuery.inverseFunctionalPropertyQuery(selectInverseExpandedPropertyURLList) # isFuncnalPropertyJSON = isFuncnalPropertyJSONObj["results"]["bindings"] FunctionalInverseExpandedPropertySet = Set() for jsonItem in isFuncnalInverseExpandedPropertyJSON: inverseFunctionalPropertyURL = jsonItem["property"]["value"] FunctionalInverseExpandedPropertySet.add(inverseFunctionalPropertyURL) # get the value for each InverseFunctionalProperty FuncnalInverseExpandedPropertyList = list(FunctionalInverseExpandedPropertySet) # add these functionalProperty value to feature class table for inverseFunctionalProperty in FuncnalInverseExpandedPropertyList: inverseFunctionalPropertyJSON = SPARQLQuery.inverseExpandedPropertyValueQuery(inplaceIRIList, inverseFunctionalProperty) Json2Field.addFieldInTableByMapping(inverseFunctionalPropertyJSON, "subDivision", "o", os.path.join(outputLocation, isPartOfTableName), "subDivisionIRI", inverseFunctionalProperty, True) # Json2Field.addFieldInMultiKeyTableByMapping(jsonBindingObject, keyPropertyNameList, valuePropertyName, inputFeatureClassName, keyPropertyFieldNameList, valuePropertyURL, isInverse) selectInverseExpandedPropertyURLSet = Set(selectInverseExpandedPropertyURLList) noFunctionalInverseExpandedPropertySet = selectInverseExpandedPropertyURLSet.difference(FunctionalInverseExpandedPropertySet) noFunctionalInverseExpandedPropertyList = list(noFunctionalInverseExpandedPropertySet) for propertyURL in noFunctionalInverseExpandedPropertyList: inverseExpandedPropertyValueJSON = SPARQLQuery.inverseExpandedPropertyValueQuery(inplaceIRIList, propertyURL) # create a seperate table to store the value of the property of the subDivision got from "isPartOf" transitive relationship, return the created table name subDivisionValueTableName = Json2Field.createMappingTableFromJSON(inverseExpandedPropertyValueJSON, "subDivision", "o", propertyURL, os.path.join(outputLocation, isPartOfTableName), "DBpediaIRI", True, False) # creat relationship class between the isPartOfTableName and the created table subDivisionValueRelationshipClassName = isPartOfTableName + "_" + subDivisionValueTableName + "_RelClass" arcpy.CreateRelationshipClass_management(os.path.join(outputLocation, isPartOfTableName), subDivisionValueTableName, subDivisionValueRelationshipClassName, "SIMPLE", propertyURL, "Super Division of DBpediaIRI following \"isPartOf+\"", "FORWARD", "ONE_TO_MANY", "NONE", "subDivisionIRI", "DBpediaIRI") return class MergeBatchNoFunctionalProperty(object): relatedTableFieldList = [] def __init__(self): """Define the tool (tool name is the name of the class).""" self.label = "Linked Data Batch No Functional Property Merge" self.description = """The related seperated tables from Linked Data Location Entities Property Enrichment Tool have multivalue for each wikidata location because the coresponding property is not functional property. This Tool helps user to merge these multivalue to a single record and add it to original feature class sttribute table by using merge rules which are specified by users.""" self.canRunInBackground = False def getParameterInfo(self): """Define parameter definitions""" # The input Feature class which is the output of LinkedDataAnalysis Tool, "URL" column should be included in the attribute table in_wikiplace_IRI = arcpy.Parameter( displayName="Input wikidata location entities Feature Class", name="in_wikiplace_IRI", datatype="DEFeatureClass", parameterType="Required", direction="Input") in_wikiplace_IRI.filter.list = ["Point"] # in_related_table = arcpy.Parameter( # displayName="Input no-functional property table which should be related to the input Feature Class", # name="in_related_table", # datatype="DETable", # parameterType="Required", # direction="Input") in_stat_fields = arcpy.Parameter( displayName='No functional Property Field(s) of related table of input feature class which need to Merge', name='in_stat_fields', datatype='GPValueTable', parameterType='Required', direction='Input') in_stat_fields.parameterDependencies = [in_wikiplace_IRI.name] in_stat_fields.columns = [['Field', 'Field'], ['GPString', 'Statistic Type'], ['DETable', 'Table Name']] in_stat_fields.filters[1].type = 'ValueList' # in_stat_fields.values = [['NAME', 'SUM']] in_stat_fields.filters[1].list = ['SUM', 'MIN', 'MAX', 'STDEV', 'MEAN', 'COUNT', 'FIRST', 'LAST'] # out_location = arcpy.Parameter( # displayName="Output Location", # name="out_location", # datatype="DEWorkspace", # parameterType="Required", # direction="Input") # out_location.value = os.path.dirname(__file__) # # Derived Output Point Feature Class Name # out_points_name = arcpy.Parameter( # displayName="Output Point Feature Class Name with No-Functional Property Merged Values", # name="out_points_name", # datatype="GPString", # parameterType="Required", # direction="Input") # params = [in_wikiplace_IRI, in_stat_fields,out_location, out_points_name] params = [in_wikiplace_IRI, in_stat_fields] return params def isLicensed(self): """Set whether tool is licensed to execute.""" return True def updateParameters(self, parameters): """Modify the values and properties of parameters before internal validation is performed. This method is called whenever a parameter has been changed.""" in_wikiplace_IRI = parameters[0] in_stat_fields = parameters[1] # out_location = parameters[2] # out_points_name = parameters[3] if in_wikiplace_IRI.altered and not in_stat_fields.altered: inputFeatureClassName = in_wikiplace_IRI.valueAsText lastIndexOFGDB = inputFeatureClassName.rfind("\\") featureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] currentWorkspace = inputFeatureClassName[:lastIndexOFGDB] if currentWorkspace.endswith(".gdb") == False: messages.addErrorMessage("Please enter a feature class in file geodatabase for the input feature class.") raise arcpy.ExecuteError else: # if in_related_table.value: arcpy.env.workspace = currentWorkspace # out_location.value = currentWorkspace # out_points_name.value = featureClassName + "_noFunc_merge" # # check whether the input table are in the same file geodatabase as the input feature class # inputTableName = in_related_table.valueAsText # lastIndexOFTable = inputTableName.rfind("\\") # currentWorkspaceTable = inputTableName[:lastIndexOFTable] # if currentWorkspaceTable != currentWorkspace: # messages.addErrorMessage("Please enter a table in the same file geodatabase as the input feature class.") # raise arcpy.ExecuteError # else: # if UTIL.detectRelationship(inputFeatureClassName, inputTableName): # arcpy.AddMessage("The feature class and table are related!") relatedTableList = UTIL.getRelatedTableFromFeatureClass(inputFeatureClassName) # fieldmappings = arcpy.FieldMappings() # fieldmappings.addTable(inputFeatureClassName) noFunctionalPropertyTable = [] for relatedTable in relatedTableList: fieldList = arcpy.ListFields(relatedTable) if "origin" not in fieldList and "end" not in fieldList: noFunctionalFieldName = fieldList[2].name arcpy.AddMessage("noFunctionalFieldName: {0}".format(noFunctionalFieldName)) noFunctionalPropertyTable.append([noFunctionalFieldName, 'COUNT', relatedTable]) # MergeNoFunctionalProperty.relatedTableFieldList.append([noFunctionalFieldName, relatedTable, 'COUNT']) # fieldmappings.addTable(relatedTable) # fieldList = arcpy.ListFields(relatedTable) # noFunctionalFieldName = fieldList[len(fieldList)-1].name # arcpy.AddMessage("noFunctionalFieldName: {0}".format(noFunctionalFieldName)) # fieldmap = fieldmappings.getFieldMap(fieldmappings.findFieldMapIndex(noFunctionalFieldName)) # fieldmap.addInputField(relatedTable, "wikiURL") # fieldmap.addInputField(inputFeatureClassName, "URL") # fieldmappings.replaceFieldMap(fieldmappings.findFieldMapIndex(noFunctionalFieldName), fieldmap) in_stat_fields.values = noFunctionalPropertyTable # fieldmappings.removeFieldMap(fieldmappings.findFieldMapIndex("wikiURL")) # in_field_mapping.value = fieldmappings.exportToString() # if in_stat_fields.altered: # fieldMergeRuleTest = in_stat_fields.valueAsText # if fieldMergeRuleTest: # fieldSplitList = fieldMergeRuleTest.split(";") # for fieldSplitItem in fieldSplitList: # fieldMergeList = fieldSplitList.split("\t") # for item in MergeNoFunctionalProperty.relatedTableFieldList: # if item[] return def updateMessages(self, parameters): """Modify the messages created by internal validation for each tool parameter. This method is called after internal validation.""" return def execute(self, parameters, messages): """The source code of the tool.""" in_wikiplace_IRI = parameters[0] in_stat_fields = parameters[1] # out_location = parameters[2] # out_points_name = parameters[3] if in_wikiplace_IRI.value: inputFeatureClassName = in_wikiplace_IRI.valueAsText # outLocation = out_location.valueAsText # outFeatureClassName = out_points_name.valueAsText fieldMergeRuleTest = in_stat_fields.valueAsText # messages.addErrorMessage("in_stat_fields.values: {0}".format(in_stat_fields.values)) # messages.addErrorMessage("MergeNoFunctionalProperty.relatedTableFieldList: {0}".format(MergeNoFunctionalProperty.relatedTableFieldList)) # fieldmappings = in_field_mapping.valueAsText lastIndexOFGDB = inputFeatureClassName.rfind("\\") currentWorkspace = inputFeatureClassName[:lastIndexOFGDB] if currentWorkspace.endswith(".gdb") == False: messages.addErrorMessage("Please enter a feature class in file geodatabase for the input feature class.") raise arcpy.ExecuteError else: # if in_related_table.value: arcpy.env.workspace = currentWorkspace # relatedTableList = UTIL.getRelatedTableFromFeatureClass(inputFeatureClassName) # fieldmappings = arcpy.FieldMappings() # fieldmappings.addTable(inputFeatureClassName) # for relatedTable in relatedTableList: # fieldmappings.addTable(relatedTable) # fieldList = arcpy.ListFields(relatedTable) # fieldName = fieldList[len(fieldList)-1].name # arcpy.AddMessage("fieldName: {0}".format(fieldName)) # fieldmappings.removeFieldMap(fieldmappings.findFieldMapIndex("wikiURL")) # arcpy.AddMessage("fieldmappings: {0}".format(fieldmappings)) # if out_location.value and out_points_name.value: # arcpy.FeatureClassToFeatureClass_conversion(inputFeatureClassName, outLocation, outFeatureClassName, "", fieldmappings) # get the ValueTable(fieldName, merge rule, related table full path) fieldMergeRuleFileNameList = [] if fieldMergeRuleTest: fieldSplitList = fieldMergeRuleTest.split(";") for fieldSplitItem in fieldSplitList: fieldMergeList = fieldSplitItem.split(" ", 2) fieldMergeRuleFileNameList.append(fieldMergeList) arcpy.AddMessage("fieldMergeRuleFileNameList: {0}".format(fieldMergeRuleFileNameList)) for fieldMergeRuleFileNameItem in fieldMergeRuleFileNameList: appendFieldName = fieldMergeRuleFileNameItem[0] mergeRule = fieldMergeRuleFileNameItem[1] relatedTableName = fieldMergeRuleFileNameItem[2].replace("'", "") noFunctionalPropertyDict = UTIL.buildMultiValueDictFromNoFunctionalProperty(appendFieldName, relatedTableName) if noFunctionalPropertyDict != -1: UTIL.appendFieldInFeatureClassByMergeRule(inputFeatureClassName, noFunctionalPropertyDict, appendFieldName, relatedTableName, mergeRule) # UTIL.buildMultiValueDictFromNoFunctionalProperty(fieldName, tableName) # UTIL.appendFieldInFeatureClassByMergeRule(inputFeatureClassName, noFunctionalPropertyDict, appendFieldName, relatedTableName, mergeRule) return class MergeSingleNoFunctionalProperty(object): relatedTableFieldList = [] relatedTableList = [] relatedNoFunctionalPropertyURLList = [] def __init__(self): """Define the tool (tool name is the name of the class).""" self.label = "Linked Data Single No Functional Property Merge" self.description = """The related seperated tables from Linked Data Location Entities Property Enrichment Tool have multivalue for each wikidata location because the coresponding property is not functional property. This Tool helps user to merge these multivalue to a single record and add it to original feature class sttribute table by using merge rules which are specified by users.""" self.canRunInBackground = False def getParameterInfo(self): """Define parameter definitions""" # The input Feature class which is the output of LinkedDataAnalysis Tool, "URL" column should be included in the attribute table in_wikiplace_IRI = arcpy.Parameter( displayName="Input wikidata location entities Feature Class", name="in_wikiplace_IRI", datatype="DEFeatureClass", parameterType="Required", direction="Input") in_wikiplace_IRI.filter.list = ["Point"] in_no_functional_property_list = arcpy.Parameter( displayName="List of No-Functional Properties of Current Feature Class", name="in_no_functional_property_list", datatype="GPString", parameterType="Required", direction="Input") in_no_functional_property_list.filter.type = "ValueList" in_no_functional_property_list.filter.list = [] in_related_table_list = arcpy.Parameter( displayName="List of Related Tables", name="in_related_table_list", datatype="GPString", parameterType="Required", direction="Input") in_related_table_list.filter.type = "ValueList" in_related_table_list.filter.list = [] in_merge_rule = arcpy.Parameter( displayName='List of Merge Rules', name='in_merge_rule', datatype='GPString', parameterType='Required', direction='Input') in_merge_rule.filter.type = "ValueList" in_merge_rule.filter.list = ['SUM', 'MIN', 'MAX', 'STDEV', 'MEAN', 'COUNT', 'FIRST', 'LAST', 'CONCATENATE'] in_cancatenate_delimiter = arcpy.Parameter( displayName='The delimiter of cancatenating fields', name='in_cancatenate_delimiter', datatype='GPString', parameterType='Optional', direction='Input') in_cancatenate_delimiter.filter.type = "ValueList" in_cancatenate_delimiter.filter.list = ['DASH', 'COMMA', 'VERTICAL BAR', 'TAB', 'SPACE'] in_cancatenate_delimiter.enabled = False params = [in_wikiplace_IRI, in_no_functional_property_list, in_related_table_list, in_merge_rule, in_cancatenate_delimiter] return params def isLicensed(self): """Set whether tool is licensed to execute.""" return True def updateParameters(self, parameters): """Modify the values and properties of parameters before internal validation is performed. This method is called whenever a parameter has been changed.""" in_wikiplace_IRI = parameters[0] in_no_functional_property_list = parameters[1] in_related_table_list = parameters[2] in_merge_rule = parameters[3] in_cancatenate_delimiter = parameters[4] if in_wikiplace_IRI.altered: inputFeatureClassName = in_wikiplace_IRI.valueAsText lastIndexOFGDB = inputFeatureClassName.rfind("\\") featureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] currentWorkspace = inputFeatureClassName[:lastIndexOFGDB] if currentWorkspace.endswith(".gdb") == False: messages.addErrorMessage("Please enter a feature class in file geodatabase for the input feature class.") raise arcpy.ExecuteError else: # if in_related_table.value: arcpy.env.workspace = currentWorkspace # out_location.value = currentWorkspace # out_points_name.value = featureClassName + "_noFunc_merge" # # check whether the input table are in the same file geodatabase as the input feature class # inputTableName = in_related_table.valueAsText # lastIndexOFTable = inputTableName.rfind("\\") # currentWorkspaceTable = inputTableName[:lastIndexOFTable] # if currentWorkspaceTable != currentWorkspace: # messages.addErrorMessage("Please enter a table in the same file geodatabase as the input feature class.") # raise arcpy.ExecuteError # else: # if UTIL.detectRelationship(inputFeatureClassName, inputTableName): # arcpy.AddMessage("The feature class and table are related!") MergeSingleNoFunctionalProperty.relatedTableFieldList = [] MergeSingleNoFunctionalProperty.relatedTableList = [] MergeSingleNoFunctionalProperty.relatedNoFunctionalPropertyURLList = [] MergeSingleNoFunctionalProperty.relatedTableList = UTIL.getRelatedTableFromFeatureClass(inputFeatureClassName) in_related_table_list.filter.list = MergeSingleNoFunctionalProperty.relatedTableList # noFunctionalPropertyTable = [] for relatedTable in MergeSingleNoFunctionalProperty.relatedTableList: fieldList = arcpy.ListFields(relatedTable) if "origin" not in fieldList and "end" not in fieldList: noFunctionalFieldName = fieldList[2].name arcpy.AddMessage("noFunctionalFieldName: {0}".format(noFunctionalFieldName)) MergeSingleNoFunctionalProperty.relatedTableFieldList.append(noFunctionalFieldName) # get the no functioal property URL from the firt row of this table field "propURL" # propURL = arcpy.da.SearchCursor(relatedTable, ("propURL")).next()[0] TableRelationshipClassList = UTIL.getRelationshipClassFromTable(relatedTable) propURL = arcpy.Describe(TableRelationshipClassList[0]).forwardPathLabel MergeSingleNoFunctionalProperty.relatedNoFunctionalPropertyURLList.append(propURL) in_no_functional_property_list.filter.list = MergeSingleNoFunctionalProperty.relatedNoFunctionalPropertyURLList # noFunctionalPropertyTable.append([noFunctionalFieldName, 'COUNT', relatedTable]) # MergeNoFunctionalProperty.relatedTableFieldList.append([noFunctionalFieldName, relatedTable, 'COUNT']) # fieldmappings.addTable(relatedTable) # fieldList = arcpy.ListFields(relatedTable) # noFunctionalFieldName = fieldList[len(fieldList)-1].name # arcpy.AddMessage("noFunctionalFieldName: {0}".format(noFunctionalFieldName)) # in_stat_fields.values = noFunctionalPropertyTable if in_no_functional_property_list.altered: selectPropURL = in_no_functional_property_list.valueAsText selectIndex = MergeSingleNoFunctionalProperty.relatedNoFunctionalPropertyURLList.index(selectPropURL) selectFieldName = MergeSingleNoFunctionalProperty.relatedTableFieldList[selectIndex] selectTableName = MergeSingleNoFunctionalProperty.relatedTableList[selectIndex] in_related_table_list.value = selectTableName currentDataType = UTIL.getFieldDataTypeInTable(selectFieldName, selectTableName) if currentDataType in ['Single', 'Double', 'SmallInteger', 'Integer']: in_merge_rule.filter.list = ['SUM', 'MIN', 'MAX', 'STDEV', 'MEAN', 'COUNT', 'FIRST', 'LAST', 'CONCATENATE'] # elif currentDataType in ['SmallInteger', 'Integer']: # in_merge_rule.filter.list = ['SUM', 'MIN', 'MAX', 'COUNT', 'FIRST', 'LAST'] else: in_merge_rule.filter.list = ['COUNT', 'FIRST', 'LAST', 'CONCATENATE'] if in_related_table_list.altered: selectTableName = in_related_table_list.valueAsText selectIndex = MergeSingleNoFunctionalProperty.relatedTableList.index(selectTableName) selectFieldName = MergeSingleNoFunctionalProperty.relatedTableFieldList[selectIndex] selectPropURL = MergeSingleNoFunctionalProperty.relatedNoFunctionalPropertyURLList[selectIndex] in_no_functional_property_list.value = selectPropURL currentDataType = UTIL.getFieldDataTypeInTable(selectFieldName, selectTableName) if currentDataType in ['Single', 'Double', 'SmallInteger', 'Integer']: in_merge_rule.filter.list = ['SUM', 'MIN', 'MAX', 'STDEV', 'MEAN', 'COUNT', 'FIRST', 'LAST', 'CONCATENATE'] # elif currentDataType in ['SmallInteger', 'Integer']: # in_merge_rule.filter.list = ['SUM', 'MIN', 'MAX', 'COUNT', 'FIRST', 'LAST'] else: in_merge_rule.filter.list = ['COUNT', 'FIRST', 'LAST', 'CONCATENATE'] if in_merge_rule.valueAsText == "CONCATENATE": in_cancatenate_delimiter.enabled = True return def updateMessages(self, parameters): """Modify the messages created by internal validation for each tool parameter. This method is called after internal validation.""" return def execute(self, parameters, messages): """The source code of the tool.""" in_wikiplace_IRI = parameters[0] in_no_functional_property_list = parameters[1] in_related_table_list = parameters[2] in_merge_rule = parameters[3] in_cancatenate_delimiter = parameters[4] if in_wikiplace_IRI.value: inputFeatureClassName = in_wikiplace_IRI.valueAsText selectPropURL = in_no_functional_property_list.valueAsText selectTableName = in_related_table_list.valueAsText selectMergeRule = in_merge_rule.valueAsText selectIndex = MergeSingleNoFunctionalProperty.relatedTableList.index(selectTableName) selectFieldName = MergeSingleNoFunctionalProperty.relatedTableFieldList[selectIndex] arcpy.AddMessage("CurrentDataType: {0}".format(UTIL.getFieldDataTypeInTable(selectFieldName, selectTableName))) arcpy.AddMessage("selectTableName: {0}".format(selectTableName)) arcpy.AddMessage("MergeSingleNoFunctionalProperty.relatedTableList: {0}".format(MergeSingleNoFunctionalProperty.relatedTableList)) arcpy.AddMessage("MergeSingleNoFunctionalProperty.relatedTableList.index(selectTableName): {0}".format(MergeSingleNoFunctionalProperty.relatedTableList.index(selectTableName))) lastIndexOFGDB = inputFeatureClassName.rfind("\\") currentWorkspace = inputFeatureClassName[:lastIndexOFGDB] if currentWorkspace.endswith(".gdb") == False: messages.addErrorMessage("Please enter a feature class in file geodatabase for the input feature class.") raise arcpy.ExecuteError else: # if in_related_table.value: arcpy.env.workspace = currentWorkspace noFunctionalPropertyDict = UTIL.buildMultiValueDictFromNoFunctionalProperty(selectFieldName, selectTableName) if noFunctionalPropertyDict != -1: if selectMergeRule == 'CONCATENATE': selectDelimiter = in_cancatenate_delimiter.valueAsText delimiter = ',' # ['DASH', 'COMMA', 'VERTICAL BAR', 'TAB', 'SPACE'] if selectDelimiter == 'DASH': delimiter = '-' elif selectDelimiter == 'COMMA': delimiter = ',' elif selectDelimiter == 'VERTICAL BAR': delimiter = '|' elif selectDelimiter == 'TAB': delimiter = ' ' elif selectDelimiter == 'SPACE': delimiter = ' ' UTIL.appendFieldInFeatureClassByMergeRule(inputFeatureClassName, noFunctionalPropertyDict, selectFieldName, selectTableName, selectMergeRule, delimiter) else: UTIL.appendFieldInFeatureClassByMergeRule(inputFeatureClassName, noFunctionalPropertyDict, selectFieldName, selectTableName, selectMergeRule, '') # fieldMergeRuleFileNameList = [] # if fieldMergeRuleTest: # fieldSplitList = fieldMergeRuleTest.split(";") # for fieldSplitItem in fieldSplitList: # fieldMergeList = fieldSplitItem.split(" ", 2) # fieldMergeRuleFileNameList.append(fieldMergeList) # arcpy.AddMessage("fieldMergeRuleFileNameList: {0}".format(fieldMergeRuleFileNameList)) # for fieldMergeRuleFileNameItem in fieldMergeRuleFileNameList: # appendFieldName = fieldMergeRuleFileNameItem[0] # mergeRule = fieldMergeRuleFileNameItem[1] # relatedTableName = fieldMergeRuleFileNameItem[2].replace("'", "") # noFunctionalPropertyDict = UTIL.buildMultiValueDictFromNoFunctionalProperty(appendFieldName, relatedTableName) # if noFunctionalPropertyDict != -1: # UTIL.appendFieldInFeatureClassByMergeRule(inputFeatureClassName, noFunctionalPropertyDict, appendFieldName, relatedTableName, mergeRule) # UTIL.buildMultiValueDictFromNoFunctionalProperty(fieldName, tableName) # UTIL.appendFieldInFeatureClassByMergeRule(inputFeatureClassName, noFunctionalPropertyDict, appendFieldName, relatedTableName, mergeRule) return # class MergeNoFunctionalProperty(object): # def __init__(self): # """Define the tool (tool name is the name of the class).""" # self.label = "Linked Data Multivalue No Functional Property Merge" # self.description = """The related seperated tables from Linked Data Location Entities Property Enrichment Tool have multivalue for each wikidata location because the coresponding property is not functional property. # This Tool helps user to merge these multivalue to a single record and add it to original feature class sttribute table by using merge rules which are specified by users.""" # self.canRunInBackground = False # def getParameterInfo(self): # """Define parameter definitions""" # # The input Feature class which is the output of LinkedDataAnalysis Tool, "URL" column should be included in the attribute table # in_wikiplace_IRI = arcpy.Parameter( # displayName="Input wikidata location entities Feature Class", # name="in_wikiplace_IRI", # datatype="DEFeatureClass", # parameterType="Required", # direction="Input") # in_wikiplace_IRI.filter.list = ["Point"] # # in_related_table = arcpy.Parameter( # # displayName="Input no-functional property table which should be related to the input Feature Class", # # name="in_related_table", # # datatype="DETable", # # parameterType="Required", # # direction="Input") # in_field_mapping = arcpy.Parameter( # displayName="Field Mapping From no-functional properties in all feature class related tables", # name="in_field_mapping", # datatype="GPFieldMapping", # parameterType="Optional", # direction="Input") # out_location = arcpy.Parameter( # displayName="Output Location", # name="out_location", # datatype="DEWorkspace", # parameterType="Required", # direction="Input") # out_location.value = os.path.dirname(__file__) # # Derived Output Point Feature Class Name # out_points_name = arcpy.Parameter( # displayName="Output Point Feature Class Name with No-Functional Property Merged Values", # name="out_points_name", # datatype="GPString", # parameterType="Required", # direction="Input") # params = [in_wikiplace_IRI, in_field_mapping,out_location, out_points_name] # return params # def isLicensed(self): # """Set whether tool is licensed to execute.""" # return True # def updateParameters(self, parameters): # """Modify the values and properties of parameters before internal # validation is performed. This method is called whenever a parameter # has been changed.""" # in_wikiplace_IRI = parameters[0] # in_field_mapping = parameters[1] # out_location = parameters[2] # out_points_name = parameters[3] # if in_wikiplace_IRI.value: # inputFeatureClassName = in_wikiplace_IRI.valueAsText # lastIndexOFGDB = inputFeatureClassName.rfind("\\") # featureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] # currentWorkspace = inputFeatureClassName[:lastIndexOFGDB] # if currentWorkspace.endswith(".gdb") == False: # messages.addErrorMessage("Please enter a feature class in file geodatabase for the input feature class.") # raise arcpy.ExecuteError # else: # # if in_related_table.value: # arcpy.env.workspace = currentWorkspace # out_location.value = currentWorkspace # out_points_name.value = featureClassName + "_noFunc_merge" # # # check whether the input table are in the same file geodatabase as the input feature class # # inputTableName = in_related_table.valueAsText # # lastIndexOFTable = inputTableName.rfind("\\") # # currentWorkspaceTable = inputTableName[:lastIndexOFTable] # # if currentWorkspaceTable != currentWorkspace: # # messages.addErrorMessage("Please enter a table in the same file geodatabase as the input feature class.") # # raise arcpy.ExecuteError # # else: # # if UTIL.detectRelationship(inputFeatureClassName, inputTableName): # # arcpy.AddMessage("The feature class and table are related!") # relatedTableList = UTIL.getRelatedTableFromFeatureClass(inputFeatureClassName) # fieldmappings = arcpy.FieldMappings() # fieldmappings.addTable(inputFeatureClassName) # for relatedTable in relatedTableList: # fieldmappings.addTable(relatedTable) # # fieldList = arcpy.ListFields(relatedTable) # # noFunctionalFieldName = fieldList[len(fieldList)-1].name # # arcpy.AddMessage("noFunctionalFieldName: {0}".format(noFunctionalFieldName)) # # fieldmap = fieldmappings.getFieldMap(fieldmappings.findFieldMapIndex(noFunctionalFieldName)) # # fieldmap.addInputField(relatedTable, "wikiURL") # # fieldmap.addInputField(inputFeatureClassName, "URL") # # fieldmappings.replaceFieldMap(fieldmappings.findFieldMapIndex(noFunctionalFieldName), fieldmap) # fieldmappings.removeFieldMap(fieldmappings.findFieldMapIndex("wikiURL")) # in_field_mapping.value = fieldmappings.exportToString() # return # def updateMessages(self, parameters): # """Modify the messages created by internal validation for each tool # parameter. This method is called after internal validation.""" # return # def execute(self, parameters, messages): # """The source code of the tool.""" # in_wikiplace_IRI = parameters[0] # in_field_mapping = parameters[1] # out_location = parameters[2] # out_points_name = parameters[3] # if in_wikiplace_IRI.value: # inputFeatureClassName = in_wikiplace_IRI.valueAsText # outLocation = out_location.valueAsText # outFeatureClassName = out_points_name.valueAsText # fieldmappings = in_field_mapping.valueAsText # lastIndexOFGDB = inputFeatureClassName.rfind("\\") # currentWorkspace = inputFeatureClassName[:lastIndexOFGDB] # if currentWorkspace.endswith(".gdb") == False: # messages.addErrorMessage("Please enter a feature class in file geodatabase for the input feature class.") # raise arcpy.ExecuteError # else: # # if in_related_table.value: # arcpy.env.workspace = currentWorkspace # # relatedTableList = UTIL.getRelatedTableFromFeatureClass(inputFeatureClassName) # # fieldmappings = arcpy.FieldMappings() # # fieldmappings.addTable(inputFeatureClassName) # # for relatedTable in relatedTableList: # # fieldmappings.addTable(relatedTable) # # fieldList = arcpy.ListFields(relatedTable) # # fieldName = fieldList[len(fieldList)-1].name # # arcpy.AddMessage("fieldName: {0}".format(fieldName)) # # fieldmappings.removeFieldMap(fieldmappings.findFieldMapIndex("wikiURL")) # # arcpy.AddMessage("fieldmappings: {0}".format(fieldmappings)) # if out_location.value and out_points_name.value: # arcpy.FeatureClassToFeatureClass_conversion(inputFeatureClassName, outLocation, outFeatureClassName, "", fieldmappings) # return class LocationPropertyPath(object): locationCommonPropertyDict = dict() locationCommonPropertyNameCountList = [] locationCommonPropertyURLList = [] locationCommonPropertyCountList = [] def __init__(self): """Define the tool (tool name is the name of the class).""" self.label = "Linked Data Location Linkage Exploration" self.description = """This Tool enables the users to explore the linkages between locations in wikidata. Given an input feature class, this tool gets all properties whose objects are also locations. The output is another feature class which contains the locations which are linked to the locations of input feature class.""" self.canRunInBackground = False def getParameterInfo(self): """Define parameter definitions""" # The input Feature class which is the output of LinkedDataAnalysis Tool, "URL" column should be included in the attribute table in_wikiplace_IRI = arcpy.Parameter( displayName="Input wikidata location entities Feature Class", name="in_wikiplace_IRI", datatype="DEFeatureClass", parameterType="Required", direction="Input") in_wikiplace_IRI.filter.list = ["Point"] # Choose property which links to a locations in_location_property = arcpy.Parameter( displayName="Input Property which represents location relationships", name="in_location_property", datatype="GPString", parameterType="Required", direction="Input") in_location_property.filter.type = "ValueList" in_location_property.filter.list = [] # Enter the degree of relationship between these location features. Like 2-degree sister city relationship in_relation_degree = arcpy.Parameter( displayName="Input Relationship Degree", name="in_relation_degree", datatype="GPLong", parameterType="Required", direction="Input") in_relation_degree.value = 1 out_location = arcpy.Parameter( displayName="Output Location", name="out_location", datatype="DEWorkspace", parameterType="Required", direction="Input") out_location.value = os.path.dirname(__file__) # Derived Output Point Feature Class Name out_points_name = arcpy.Parameter( displayName="Output Point Feature Class Name", name="out_points_name", datatype="GPString", parameterType="Required", direction="Input") params = [in_wikiplace_IRI, in_location_property,in_relation_degree, out_location, out_points_name] return params def isLicensed(self): """Set whether tool is licensed to execute.""" return True def updateParameters(self, parameters): """Modify the values and properties of parameters before internal validation is performed. This method is called whenever a parameter has been changed.""" in_wikiplace_IRI = parameters[0] in_location_property = parameters[1] in_relation_degree = parameters[2] out_location = parameters[3] out_points_name = parameters[4] if in_wikiplace_IRI.value: inputFeatureClassName = in_wikiplace_IRI.valueAsText lastIndexOFGDB = inputFeatureClassName.rfind("\\") featureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] currentWorkspace = inputFeatureClassName[:lastIndexOFGDB] arcpy.env.workspace = currentWorkspace out_location.value = currentWorkspace # get all the IRI from input point feature class of wikidata places inplaceIRIList = [] cursor = arcpy.SearchCursor(inputFeatureClassName) for row in cursor: inplaceIRIList.append(row.getValue("URL")) # get all the property URL which are used in the input feature class. their objects are geographic locations which have coordinates, I call them location common properties locationCommonPropertyJSONObj = SPARQLQuery.locationCommonPropertyQuery(inplaceIRIList) locationCommonPropertyJSON = locationCommonPropertyJSONObj["results"]["bindings"] LocationPropertyPath.locationCommonPropertyURLList = [] LocationPropertyPath.locationCommonPropertyCountList = [] for jsonItem in locationCommonPropertyJSON: LocationPropertyPath.locationCommonPropertyURLList.append(jsonItem["p"]["value"]) LocationPropertyPath.locationCommonPropertyCountList.append(jsonItem["NumofSub"]["value"]) locationCommonPropertyCountDict = dict(zip(LocationPropertyPath.locationCommonPropertyURLList, LocationPropertyPath.locationCommonPropertyCountList)) # get the english label for each location common property locationCommonPropertyLabelJSON = SPARQLQuery.locationCommonPropertyLabelQuery(LocationPropertyPath.locationCommonPropertyURLList) # locationCommonPropertyLabelJSON = locationCommonPropertyLabelJSONObj["results"]["bindings"] # a dictionary object: key: propertyNameCount, value: propertyURL LocationPropertyPath.locationCommonPropertyDict = dict() LocationPropertyPath.locationCommonPropertyNameCountList = [] LocationPropertyPath.locationCommonPropertyURLList = [] LocationPropertyPath.locationCommonPropertyCountList = [] for jsonItem in locationCommonPropertyLabelJSON: propertyURL = jsonItem["p"]["value"] LocationPropertyPath.locationCommonPropertyURLList.append(propertyURL) propertyName = jsonItem["propertyLabel"]["value"] propertyCount = locationCommonPropertyCountDict[propertyURL] LocationPropertyPath.locationCommonPropertyCountList.append(propertyCount) propertyNameCount = propertyName + "(" + propertyCount + ")" LocationPropertyPath.locationCommonPropertyNameCountList.append(propertyNameCount) LocationPropertyPath.locationCommonPropertyDict[propertyNameCount] = propertyURL in_location_property.filter.list = LocationPropertyPath.locationCommonPropertyNameCountList if in_location_property.value and in_relation_degree.value and out_points_name.valueAsText == None: propertyName = in_location_property.valueAsText relationdegree = in_relation_degree.valueAsText lastIndex = propertyName.rfind("(") propertyName = propertyName[:lastIndex] propertyName = propertyName.replace(" ", "_") if featureClassName.endswith(".shp"): lastIndex = featureClassName.rfind(".") featureClassNameNoShp = featureClassName[:lastIndex] out_points_name.value = featureClassNameNoShp + "_D" + relationdegree + "_" + propertyName + ".shp" else: out_points_name.value = featureClassName + "_D" + relationdegree + "_" + propertyName if arcpy.Exists(out_points_name.valueAsText): arcpy.AddError("The output feature class name already exists in current workspace!") raise arcpy.ExecuteError if in_relation_degree.value: relationDegree = int(in_relation_degree.valueAsText) if relationDegree > 4: in_relation_degree.value = 4 return def updateMessages(self, parameters): """Modify the messages created by internal validation for each tool parameter. This method is called after internal validation.""" return def execute(self, parameters, messages): """The source code of the tool.""" in_wikiplace_IRI = parameters[0] in_location_property = parameters[1] in_relation_degree = parameters[2] out_location = parameters[3] out_points_name = parameters[4] if in_wikiplace_IRI.value: inputFeatureClassName = in_wikiplace_IRI.valueAsText locationCommonPropertyNameCount = in_location_property.valueAsText relationDegree = int(in_relation_degree.valueAsText) outLocation = out_location.valueAsText outFeatureClassName = out_points_name.valueAsText lastIndexOFGDB = inputFeatureClassName.rfind("\\") originFeatureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] if outLocation.endswith(".gdb") == False: messages.addErrorMessage("Please enter a file geodatabase as the file location for output feature class.") raise arcpy.ExecuteError else: arcpy.env.workspace = outLocation endFeatureClassName = outLocation + "\\" + outFeatureClassName if arcpy.Exists(endFeatureClassName): messages.addErrorMessage("The output feature class name already exists in current workspace!") raise arcpy.ExecuteError else: # get all the IRI from input point feature class of wikidata places inplaceIRIList = [] cursor = arcpy.SearchCursor(inputFeatureClassName) for row in cursor: inplaceIRIList.append(row.getValue("URL")) if relationDegree > 4: relationDegree = 4 in_relation_degree.value = 4 locationCommonPropertyURL = LocationPropertyPath.locationCommonPropertyDict[locationCommonPropertyNameCount] locationLinkageRelationJSONObj = SPARQLQuery.locationLinkageRelationQuery(inplaceIRIList, locationCommonPropertyURL, relationDegree) locationLinkageRelationJSON = locationLinkageRelationJSONObj["results"]["bindings"] endPlaceIRISet = Set() for jsonItem in locationLinkageRelationJSON: endPlaceIRISet.add(jsonItem["end"]["value"]) endPlaceIRIList = list(endPlaceIRISet) # endPlaceJSONObj = SPARQLQuery.endPlaceInformationQuery(endPlaceIRIList) endPlaceJSON = SPARQLQuery.endPlaceInformationQuery(endPlaceIRIList) Json2Field.creatPlaceFeatureClassFromJSON(endPlaceJSON, endFeatureClassName, None, "") lastIndex = locationCommonPropertyNameCount.rfind("(") locationCommonPropertyName = locationCommonPropertyNameCount[:lastIndex] locationLinkageTableName = Json2Field.createLocationLinkageMappingTableFromJSON(locationLinkageRelationJSON, "origin", "end", inputFeatureClassName, endFeatureClassName, locationCommonPropertyURL, locationCommonPropertyName, relationDegree) endFeatureRelationshipClassName = outFeatureClassName + "_" + locationLinkageTableName + "_RelClass" arcpy.CreateRelationshipClass_management(outFeatureClassName, locationLinkageTableName, endFeatureRelationshipClassName, "SIMPLE", "is "+ locationCommonPropertyName + "of", locationCommonPropertyName, "FORWARD", "ONE_TO_MANY", "NONE", "URL", "end") originFeatureRelationshipClassName = originFeatureClassName + "_" + locationLinkageTableName + "_RelClass" arcpy.CreateRelationshipClass_management(originFeatureClassName, locationLinkageTableName, originFeatureRelationshipClassName, "SIMPLE", locationCommonPropertyName, "is "+ locationCommonPropertyName + "of", "FORWARD", "ONE_TO_MANY", "NONE", "URL", "origin") return class RelFinder(object): firstPropertyLabelURLDict = dict() secondPropertyLabelURLDict = dict() thirdPropertyLabelURLDict = dict() fourthPropertyLabelURLDict = dict() def __init__(self): """Define the tool (tool name is the name of the class).""" self.label = "Linked Data Relationship Finder from Location Features" self.description = """Getting a table of S-P-O triples for the relationships from locations features.""" self.canRunInBackground = False def getParameterInfo(self): """Define parameter definitions""" # The input Feature class which is the output of LinkedDataAnalysis Tool, "URL" column should be included in the attribute table in_wikiplace_IRI = arcpy.Parameter( displayName="Input wikidata location entities Feature Class", name="in_wikiplace_IRI", datatype="DEFeatureClass", parameterType="Required", direction="Input") in_wikiplace_IRI.filter.list = ["Point"] in_relation_degree = arcpy.Parameter( displayName="Relationship Degree", name="in_relation_degree", datatype="GPLong", parameterType="Required", direction="Input") in_relation_degree.filter.type = "ValueList" in_relation_degree.filter.list = [1, 2, 3, 4] # Choose the first degree property direction which links to a locations, "ORIGIN" means in_wikiplace_IRI are origins, "DESTINATION" means in_wikiplace_IRI are destinations in_first_property_dir = arcpy.Parameter( displayName="The first degree property direction", name="in_first_property_dir", datatype="GPString", parameterType="Required", direction="Input") in_first_property_dir.filter.type = "ValueList" in_first_property_dir.filter.list = ["BOTH", "ORIGIN", "DESTINATION"] # Choose the first degree property which links to a locations in_first_property = arcpy.Parameter( displayName="The first degree property", name="in_first_property", datatype="GPString", parameterType="Optional", direction="Input") in_first_property.filter.type = "ValueList" in_first_property.filter.list = [] # Choose the second degree property direction which links to a locations, "ORIGIN" means in_wikiplace_IRI are origins, "DESTINATION" means in_wikiplace_IRI are destinations in_second_property_dir = arcpy.Parameter( displayName="The second degree property direction", name="in_second_property_dir", datatype="GPString", parameterType="Optional", direction="Input") in_second_property_dir.filter.type = "ValueList" in_second_property_dir.filter.list = ["BOTH", "ORIGIN", "DESTINATION"] in_second_property_dir.enabled = False # Choose the second degree property which links to a locations in_second_property = arcpy.Parameter( displayName="The second degree property", name="in_second_property", datatype="GPString", parameterType="Optional", direction="Input") in_second_property.filter.type = "ValueList" in_second_property.filter.list = [] in_second_property.enabled = False # Choose the third degree property direction which links to a locations, "ORIGIN" means in_wikiplace_IRI are origins, "DESTINATION" means in_wikiplace_IRI are destinations in_third_property_dir = arcpy.Parameter( displayName="The third degree property direction", name="in_third_property_dir", datatype="GPString", parameterType="Optional", direction="Input") in_third_property_dir.filter.type = "ValueList" in_third_property_dir.filter.list = ["BOTH", "ORIGIN", "DESTINATION"] in_third_property_dir.enabled = False # Choose the third degree property which links to a locations in_third_property = arcpy.Parameter( displayName="The third degree property", name="in_third_property", datatype="GPString", parameterType="Optional", direction="Input") in_third_property.filter.type = "ValueList" in_third_property.filter.list = [] in_third_property.enabled = False # Choose the fourth degree property direction which links to a locations, "ORIGIN" means in_wikiplace_IRI are origins, "DESTINATION" means in_wikiplace_IRI are destinations in_fourth_property_dir = arcpy.Parameter( displayName="The fourth degree property direction", name="in_fourth_property_dir", datatype="GPString", parameterType="Optional", direction="Input") in_fourth_property_dir.filter.type = "ValueList" in_fourth_property_dir.filter.list = ["BOTH", "ORIGIN", "DESTINATION"] in_fourth_property_dir.enabled = False # Choose the fourth degree property which links to a locations in_fourth_property = arcpy.Parameter( displayName="The fourth degree property", name="in_fourth_property", datatype="GPString", parameterType="Optional", direction="Input") in_fourth_property.filter.type = "ValueList" in_fourth_property.filter.list = [] in_fourth_property.enabled = False out_location = arcpy.Parameter( displayName="Output Location", name="out_location", datatype="DEWorkspace", parameterType="Required", direction="Input") out_location.value = os.path.dirname(__file__) # Derived Output Triple Store Table Name out_table_name = arcpy.Parameter( displayName="Output Triple Store Table Name", name="out_table_name", datatype="GPString", parameterType="Required", direction="Input") # Derived Output Feature Class Name out_points_name = arcpy.Parameter( displayName="Output Feature Class Name", name="out_points_name", datatype="GPString", parameterType="Required", direction="Input") params = [in_wikiplace_IRI, in_relation_degree, in_first_property_dir, in_first_property, in_second_property_dir, in_second_property, in_third_property_dir, in_third_property, in_fourth_property_dir, in_fourth_property, out_location, out_table_name, out_points_name] return params def isLicensed(self): """Set whether tool is licensed to execute.""" return True def updateParameters(self, parameters): """Modify the values and properties of parameters before internal validation is performed. This method is called whenever a parameter has been changed.""" in_wikiplace_IRI = parameters[0] in_relation_degree = parameters[1] in_first_property_dir = parameters[2] in_first_property = parameters[3] in_second_property_dir = parameters[4] in_second_property = parameters[5] in_third_property_dir = parameters[6] in_third_property = parameters[7] in_fourth_property_dir = parameters[8] in_fourth_property = parameters[9] out_location = parameters[10] out_table_name = parameters[11] out_points_name = parameters[12] if in_relation_degree.altered: relationDegree = int(in_relation_degree.valueAsText) if relationDegree == 1: in_first_property.enabled = True in_first_property_dir.enabled = True in_second_property.enabled = False in_second_property_dir.enabled = False in_third_property.enabled = False in_third_property_dir.enabled = False in_fourth_property.enabled = False in_fourth_property_dir.enabled = False elif relationDegree == 2: in_first_property.enabled = True in_first_property_dir.enabled = True in_second_property.enabled = True in_second_property_dir.enabled = True in_third_property.enabled = False in_third_property_dir.enabled = False in_fourth_property.enabled = False in_fourth_property_dir.enabled = False elif relationDegree == 3: in_first_property.enabled = True in_first_property_dir.enabled = True in_second_property.enabled = True in_second_property_dir.enabled = True in_third_property.enabled = True in_third_property_dir.enabled = True in_fourth_property.enabled = False in_fourth_property_dir.enabled = False elif relationDegree == 4: in_first_property.enabled = True in_first_property_dir.enabled = True in_second_property.enabled = True in_second_property_dir.enabled = True in_third_property.enabled = True in_third_property_dir.enabled = True in_fourth_property.enabled = True in_fourth_property_dir.enabled = True if in_wikiplace_IRI.value: inputFeatureClassName = in_wikiplace_IRI.valueAsText lastIndexOFGDB = inputFeatureClassName.rfind("\\") featureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] currentWorkspace = inputFeatureClassName[:lastIndexOFGDB] arcpy.env.workspace = currentWorkspace out_location.value = currentWorkspace out_table_name.value = featureClassName + "PathQueryTripleStore" out_points_name.value = featureClassName + "PathQueryLocation" outLocation = out_location.valueAsText outTableName = out_table_name.valueAsText outputTableName = os.path.join(outLocation,outTableName) if arcpy.Exists(outputTableName): arcpy.AddError("The output table already exists in current workspace!") raise arcpy.ExecuteError outFeatureClassName = out_points_name.valueAsText outputFeatureClassName = os.path.join(outLocation,outFeatureClassName) if arcpy.Exists(outputFeatureClassName): arcpy.AddError("The output Feature Class already exists in current workspace!") raise arcpy.ExecuteError # get all the IRI from input point feature class of wikidata places inplaceIRIList = [] cursor = arcpy.SearchCursor(inputFeatureClassName) for row in cursor: inplaceIRIList.append(row.getValue("URL")) # get the first property URL list and label list if in_first_property_dir.value: fristDirection = in_first_property_dir.valueAsText # get the first property URL list firstPropertyURLListJsonBindingObject = SPARQLQuery.relFinderCommonPropertyQuery(inplaceIRIList, relationDegree, [fristDirection], ["", "", ""]) firstPropertyURLList = [] for jsonItem in firstPropertyURLListJsonBindingObject: firstPropertyURLList.append(jsonItem["p1"]["value"]) firstPropertyLabelJSON = SPARQLQuery.locationCommonPropertyLabelQuery(firstPropertyURLList) # firstPropertyLabelJSON = firstPropertyLabelJSONObj["results"]["bindings"] # get the first property label list firstPropertyURLList = [] firstPropertyLabelList = [] for jsonItem in firstPropertyLabelJSON: propertyURL = jsonItem["p"]["value"] firstPropertyURLList.append(propertyURL) propertyName = jsonItem["propertyLabel"]["value"] firstPropertyLabelList.append(propertyName) RelFinder.firstPropertyLabelURLDict = dict(zip(firstPropertyLabelList, firstPropertyURLList)) in_first_property.filter.list = firstPropertyLabelList # get the second property URL list and label list if in_second_property_dir.value: fristDirection = in_first_property_dir.valueAsText firstProperty = in_first_property.valueAsText if firstProperty == None: firstProperty = "" else: firstProperty = RelFinder.firstPropertyLabelURLDict[firstProperty] secondDirection = in_second_property_dir.valueAsText # get the second property URL list secondPropertyURLListJsonBindingObject = SPARQLQuery.relFinderCommonPropertyQuery(inplaceIRIList, relationDegree, [fristDirection, secondDirection], [firstProperty, "", ""]) secondPropertyURLList = [] for jsonItem in secondPropertyURLListJsonBindingObject: secondPropertyURLList.append(jsonItem["p2"]["value"]) secondPropertyLabelJSON = SPARQLQuery.locationCommonPropertyLabelQuery(secondPropertyURLList) # secondPropertyLabelJSON = secondPropertyLabelJSONObj["results"]["bindings"] # get the second property label list secondPropertyURLList = [] secondPropertyLabelList = [] for jsonItem in secondPropertyLabelJSON: propertyURL = jsonItem["p"]["value"] secondPropertyURLList.append(propertyURL) propertyName = jsonItem["propertyLabel"]["value"] secondPropertyLabelList.append(propertyName) RelFinder.secondPropertyLabelURLDict = dict(zip(secondPropertyLabelList, secondPropertyURLList)) in_second_property.filter.list = secondPropertyLabelList # get the third property URL list and label list if in_third_property_dir.value: fristDirection = in_first_property_dir.valueAsText firstProperty = in_first_property.valueAsText secondDirection = in_second_property_dir.valueAsText secondProperty = in_second_property.valueAsText if firstProperty == None: firstProperty = "" else: firstProperty = RelFinder.firstPropertyLabelURLDict[firstProperty] if secondProperty == None: secondProperty = "" else: secondProperty = RelFinder.secondPropertyLabelURLDict[secondProperty] thirdDirection = in_third_property_dir.valueAsText # get the third property URL list thirdPropertyURLListJsonBindingObject = SPARQLQuery.relFinderCommonPropertyQuery(inplaceIRIList, relationDegree, [fristDirection, secondDirection, thirdDirection], [firstProperty, secondProperty, ""]) thirdPropertyURLList = [] for jsonItem in thirdPropertyURLListJsonBindingObject: thirdPropertyURLList.append(jsonItem["p3"]["value"]) thirdPropertyLabelJSON = SPARQLQuery.locationCommonPropertyLabelQuery(thirdPropertyURLList) # thirdPropertyLabelJSON = thirdPropertyLabelJSONObj["results"]["bindings"] # get the third property label list thirdPropertyURLList = [] thirdPropertyLabelList = [] for jsonItem in thirdPropertyLabelJSON: propertyURL = jsonItem["p"]["value"] thirdPropertyURLList.append(propertyURL) propertyName = jsonItem["propertyLabel"]["value"] thirdPropertyLabelList.append(propertyName) RelFinder.thirdPropertyLabelURLDict = dict(zip(thirdPropertyLabelList, thirdPropertyURLList)) in_third_property.filter.list = thirdPropertyLabelList # get the fourth property URL list and label list if in_fourth_property_dir.value: fristDirection = in_first_property_dir.valueAsText firstProperty = in_first_property.valueAsText secondDirection = in_second_property_dir.valueAsText secondProperty = in_second_property.valueAsText thirdDirection = in_third_property_dir.valueAsText thirdProperty = in_third_property.valueAsText if firstProperty == None: firstProperty = "" else: firstProperty = RelFinder.firstPropertyLabelURLDict[firstProperty] if secondProperty == None: secondProperty = "" else: secondProperty = RelFinder.secondPropertyLabelURLDict[secondProperty] if thirdProperty == None: thirdProperty = "" else: thirdProperty = RelFinder.thirdPropertyLabelURLDict[thirdProperty] fourthDirection = in_fourth_property_dir.valueAsText # get the fourth property URL list fourthPropertyURLListJsonBindingObject = SPARQLQuery.relFinderCommonPropertyQuery(inplaceIRIList, relationDegree, [fristDirection, secondDirection, thirdDirection, fourthDirection], [firstProperty, secondProperty, thirdProperty]) fourthPropertyURLList = [] for jsonItem in fourthPropertyURLListJsonBindingObject: fourthPropertyURLList.append(jsonItem["p4"]["value"]) fourthPropertyLabelJSON = SPARQLQuery.locationCommonPropertyLabelQuery(fourthPropertyURLList) # fourthPropertyLabelJSON = fourthPropertyLabelJSONObj["results"]["bindings"] # get the fourth property label list fourthPropertyURLList = [] fourthPropertyLabelList = [] for jsonItem in fourthPropertyLabelJSON: propertyURL = jsonItem["p"]["value"] fourthPropertyURLList.append(propertyURL) propertyName = jsonItem["propertyLabel"]["value"] fourthPropertyLabelList.append(propertyName) RelFinder.fourthPropertyLabelURLDict = dict(zip(fourthPropertyLabelList, fourthPropertyURLList)) in_fourth_property.filter.list = fourthPropertyLabelList return def updateMessages(self, parameters): """Modify the messages created by internal validation for each tool parameter. This method is called after internal validation.""" return def execute(self, parameters, messages): """The source code of the tool.""" in_wikiplace_IRI = parameters[0] in_relation_degree = parameters[1] in_first_property_dir = parameters[2] in_first_property = parameters[3] in_second_property_dir = parameters[4] in_second_property = parameters[5] in_third_property_dir = parameters[6] in_third_property = parameters[7] in_fourth_property_dir = parameters[8] in_fourth_property = parameters[9] out_location = parameters[10] out_table_name = parameters[11] out_points_name = parameters[12] if in_wikiplace_IRI.value: inputFeatureClassName = in_wikiplace_IRI.valueAsText relationDegree = int(in_relation_degree.valueAsText) outLocation = out_location.valueAsText outTableName = out_table_name.valueAsText outFeatureClassName = out_points_name.valueAsText outputTableName = os.path.join(outLocation,outTableName) outputFeatureClassName = os.path.join(outLocation,outFeatureClassName) lastIndexOFGDB = inputFeatureClassName.rfind("\\") originFeatureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] if outLocation.endswith(".gdb") == False: messages.addErrorMessage("Please enter a file geodatabase as the file location for output feature class.") raise arcpy.ExecuteError else: arcpy.env.workspace = outLocation if arcpy.Exists(outputTableName) or arcpy.Exists(outputFeatureClassName): messages.addErrorMessage("The output table or feature class already exists in current workspace!") raise arcpy.ExecuteError else: # get all the IRI from input point feature class of wikidata places inplaceIRIList = [] cursor = arcpy.SearchCursor(inputFeatureClassName) for row in cursor: inplaceIRIList.append(row.getValue("URL")) # get the user specified property URL and direction at each degree propertyDirectionList = [] selectPropertyURLList = ["", "", "", ""] if in_first_property_dir.value: fristDirection = in_first_property_dir.valueAsText firstProperty = in_first_property.valueAsText if firstProperty == None: firstPropertyURL = "" else: firstPropertyURL = RelFinder.firstPropertyLabelURLDict[firstProperty] propertyDirectionList.append(fristDirection) selectPropertyURLList[0] = firstPropertyURL if in_second_property_dir.value: secondDirection = in_second_property_dir.valueAsText secondProperty = in_second_property.valueAsText if secondProperty == None: secondPropertyURL = "" else: secondPropertyURL = RelFinder.secondPropertyLabelURLDict[secondProperty] propertyDirectionList.append(secondDirection) selectPropertyURLList[1] = secondPropertyURL if in_third_property_dir.value: thirdDirection = in_third_property_dir.valueAsText thirdProperty = in_third_property.valueAsText if thirdProperty == None: thirdPropertyURL = "" else: thirdPropertyURL = RelFinder.thirdPropertyLabelURLDict[thirdProperty] propertyDirectionList.append(thirdDirection) selectPropertyURLList[2] = thirdPropertyURL if in_fourth_property_dir.value: fourthDirection = in_fourth_property_dir.valueAsText fourthProperty = in_fourth_property.valueAsText if fourthProperty == None: fourthPropertyURL = "" else: fourthPropertyURL = RelFinder.thirdPropertyLabelURLDict[fourthProperty] propertyDirectionList.append(fourthDirection) selectPropertyURLList[3] = fourthPropertyURL arcpy.AddMessage("propertyDirectionList: {0}".format(propertyDirectionList)) arcpy.AddMessage("selectPropertyURLList: {0}".format(selectPropertyURLList)) # for the direction list, change "BOTH" to "OROIGIN" and "DESTINATION" directionExpendedLists = UTIL.directionListFromBoth2OD(propertyDirectionList) tripleStore = dict() for currentDirectionList in directionExpendedLists: # get a list of triples for curent specified property path newTripleStore = SPARQLQuery.relFinderTripleQuery(inplaceIRIList, currentDirectionList, selectPropertyURLList) tripleStore = UTIL.mergeTripleStoreDicts(tripleStore, newTripleStore) # tripleStore = UTIL.mergeListsWithUniqueElement(tripleStore, newTripleStore) triplePropertyURLList = [] for triple in tripleStore: if triple.p not in triplePropertyURLList: triplePropertyURLList.append(triple.p) triplePropertyLabelJSON = SPARQLQuery.locationCommonPropertyLabelQuery(triplePropertyURLList) triplePropertyURLList = [] triplePropertyLabelList = [] for jsonItem in triplePropertyLabelJSON: propertyURL = jsonItem["p"]["value"] triplePropertyURLList.append(propertyURL) propertyName = jsonItem["propertyLabel"]["value"] triplePropertyLabelList.append(propertyName) triplePropertyURLLabelDict = dict(zip(triplePropertyURLList, triplePropertyLabelList)) tripleStoreTable = arcpy.CreateTable_management(outLocation,outTableName) arcpy.AddField_management(tripleStoreTable, "Subject", "TEXT", field_length=50) arcpy.AddField_management(tripleStoreTable, "Predicate", "TEXT", field_length=50) arcpy.AddField_management(tripleStoreTable, "Object", "TEXT", field_length=50) arcpy.AddField_management(tripleStoreTable, "Pred_Label", "TEXT", field_length=50) arcpy.AddField_management(tripleStoreTable, "Degree", "LONG") # Create insert cursor for table rows = arcpy.InsertCursor(tripleStoreTable) # for triple in tripleStore: # row = rows.newRow() # row.setValue("Subject", triple[0]) # row.setValue("Predicate", triple[1]) # row.setValue("Object", triple[2]) for triple in tripleStore: row = rows.newRow() row.setValue("Subject", triple.s) row.setValue("Predicate", triple.p) row.setValue("Object", triple.o) row.setValue("Pred_Label", triplePropertyURLLabelDict[triple.p]) row.setValue("Degree", tripleStore[triple]) rows.insertRow(row) entitySet = Set() for triple in tripleStore: entitySet.add(triple.s) entitySet.add(triple.o) # for triple in tripleStore: # entitySet.add(triple[0]) # entitySet.add(triple[2]) placeJSON = SPARQLQuery.endPlaceInformationQuery(list(entitySet)) Json2Field.creatPlaceFeatureClassFromJSON(placeJSON, outputFeatureClassName, None, "") arcpy.env.workspace = outLocation originFeatureRelationshipClassName = outputFeatureClassName + "_" + outTableName + "_Origin" + "_RelClass" arcpy.CreateRelationshipClass_management(outputFeatureClassName, outTableName, originFeatureRelationshipClassName, "SIMPLE", "S-P-O Link", "Origin of S-P-O Link", "FORWARD", "ONE_TO_MANY", "NONE", "URL", "Subject") endFeatureRelationshipClassName = outputFeatureClassName + "_" + outTableName + "_Destination" + "_RelClass" arcpy.CreateRelationshipClass_management(outputFeatureClassName, outTableName, endFeatureRelationshipClassName, "SIMPLE", "S-P-O Link", "Destination of S-P-O Link", "FORWARD", "ONE_TO_MANY", "NONE", "URL", "Object") # Json2Field.getNoExistTableNameInWorkspace(outLocation,outTableName) LinkageTableName = Json2Field.getNoExistTableNameInWorkspace(outLocation,outTableName + "_Linkage") arcpy.CopyRows_management(outTableName, LinkageTableName) arcpy.JoinField_management(LinkageTableName, "Subject", outputFeatureClassName, "URL", []) arcpy.JoinField_management(LinkageTableName, "Object", outputFeatureClassName, "URL", []) # originFeatureClassName = LinkageTableName[(lastIndexOFGDB+1):] where_clause = '("URL" IS NOT NULL) AND ("URL_1" IS NOT NULL)' LinkedNotNullTableName = Json2Field.getNoExistTableNameInWorkspace(outLocation, LinkageTableName[(lastIndexOFGDB+1):] + "_SQL") arcpy.TableSelect_analysis(LinkageTableName, LinkedNotNullTableName, where_clause) lineFeatureName = Json2Field.getNoExistTableNameInWorkspace(outLocation, outTableName + "_LinkedLine") arcpy.XYToLine_management(LinkedNotNullTableName,lineFeatureName, "POINT_X","POINT_Y","POINT_X_1","POINT_Y_1","GREAT_CIRCLE") arcpy.JoinField_management(lineFeatureName, "OID", LinkedNotNullTableName, "OBJECTID", ["URL", "Label", "URL_1", "Label_1", "Pred_Label", "Degree"]) mxd = arcpy.mapping.MapDocument("CURRENT") # get the data frame df = arcpy.mapping.ListDataFrames(mxd)[0] # create a new layer lineFeatureLayer = arcpy.mapping.Layer(os.path.join(outLocation,lineFeatureName)) # add the layer to the map at the bottom of the TOC in data frame 0 arcpy.mapping.AddLayer(df, lineFeatureLayer, "BOTTOM") # ["BOTH", "ORIGIN", "DESTINATION"] # if relationDegree > 1: # sencondDegreeTableAppendName = "" # if (propertyDirectionList[0] == "ORIGIN" or propertyDirectionList[0] == "BOTH") and (propertyDirectionList[1] == "ORIGIN" or propertyDirectionList[1] == "BOTH"): # if firstProperty == None: # sencondDegreeTableName += "_O" # else: # sencondDegreeTableName += "_O_" + firstProperty.replace(" ", "_") # if secondProperty == None: # sencondDegreeTableName += "_O" # else: # sencondDegreeTableName += "_O_" + secondProperty.replace(" ", "_") # sencondDegreeTableName = outTableName + sencondDegreeTableAppendName # arcpy.CopyRows_management(outTableName, sencondDegreeTableName) # arcpy.JoinField_management(sencondDegreeTableName, "Object", outTableName, "Subject", []) # # get the first property URL list and label list # if in_first_property_dir.value: # fristDirection = in_first_property_dir.valueAsText # # get the first property URL list # firstPropertyURLListJsonBindingObject = SPARQLQuery.relFinderCommonPropertyQuery(inplaceIRIList, 1, [fristDirection], ["", "", ""]) # firstPropertyURLList = [] # for jsonItem in firstPropertyURLListJsonBindingObject: # firstPropertyURLList.append(jsonItem["p1"]["value"]) # firstPropertyLabelJSON = SPARQLQuery.locationCommonPropertyLabelQuery(firstPropertyURLList) # # firstPropertyLabelJSON = firstPropertyLabelJSONObj["results"]["bindings"] # # get the first property label list # firstPropertyURLList = [] # firstPropertyLabelList = [] # for jsonItem in firstPropertyLabelJSON: # propertyURL = jsonItem["p"]["value"] # firstPropertyURLList.append(propertyURL) # propertyName = jsonItem["propertyLabel"]["value"] # firstPropertyLabelList.append(propertyName) # # RelFinder.firstPropertyLabelURLDict = dict(zip(firstPropertyLabelList, firstPropertyURLList)) # # in_first_property.filter.list = firstPropertyLabelList # arcpy.AddMessage("firstPropertyURLList: {0}".format(firstPropertyURLList)) # arcpy.AddMessage("firstPropertyLabelList: {0}".format(firstPropertyLabelList)) # # get the second property URL list and label list # if in_second_property_dir.value: # fristDirection = in_first_property_dir.valueAsText # firstProperty = in_first_property.valueAsText # if firstProperty == None: # firstProperty = "" # else: # firstProperty = RelFinder.firstPropertyLabelURLDict[firstProperty] # secondDirection = in_second_property_dir.valueAsText # arcpy.AddMessage("firstProperty: {0}".format(firstProperty)) # # get the second property URL list # secondPropertyURLListJsonBindingObject = SPARQLQuery.relFinderCommonPropertyQuery(inplaceIRIList, 2, [fristDirection, secondDirection], [firstProperty, "", ""]) # secondPropertyURLList = [] # for jsonItem in secondPropertyURLListJsonBindingObject: # secondPropertyURLList.append(jsonItem["p2"]["value"]) # secondPropertyLabelJSON = SPARQLQuery.locationCommonPropertyLabelQuery(secondPropertyURLList) # # secondPropertyLabelJSON = secondPropertyLabelJSONObj["results"]["bindings"] # # get the second property label list # secondPropertyURLList = [] # secondPropertyLabelList = [] # for jsonItem in secondPropertyLabelJSON: # propertyURL = jsonItem["p"]["value"] # secondPropertyURLList.append(propertyURL) # propertyName = jsonItem["propertyLabel"]["value"] # secondPropertyLabelList.append(propertyName) # # RelFinder.secondPropertyLabelURLDict = dict(zip(secondPropertyLabelList, secondPropertyURLList)) # # in_second_property.filter.list = secondPropertyLabelList # arcpy.AddMessage("secondPropertyURLList: {0}".format(secondPropertyURLList)) # arcpy.AddMessage("secondPropertyLabelList: {0}".format(secondPropertyLabelList)) # # get the third property URL list and label list # if in_third_property_dir.value: # fristDirection = in_first_property_dir.valueAsText # firstProperty = in_first_property.valueAsText # secondDirection = in_second_property_dir.valueAsText # secondProperty = in_second_property.valueAsText # thirdDirection = in_third_property_dir.valueAsText # if firstProperty == None: # firstProperty = "" # else: # firstProperty = RelFinder.firstPropertyLabelURLDict[firstProperty] # if secondProperty == None: # secondProperty = "" # else: # secondProperty = RelFinder.secondPropertyLabelURLDict[secondProperty] # # get the third property URL list # thirdPropertyURLListJsonBindingObject = SPARQLQuery.relFinderCommonPropertyQuery(inplaceIRIList, 3, [fristDirection, secondDirection, thirdDirection], [firstProperty, secondProperty, ""]) # thirdPropertyURLList = [] # for jsonItem in thirdPropertyURLListJsonBindingObject: # thirdPropertyURLList.append(jsonItem["p3"]["value"]) # thirdPropertyLabelJSON = SPARQLQuery.locationCommonPropertyLabelQuery(thirdPropertyURLList) # # thirdPropertyLabelJSON = thirdPropertyLabelJSONObj["results"]["bindings"] # # get the third property label list # thirdPropertyURLList = [] # thirdPropertyLabelList = [] # for jsonItem in thirdPropertyLabelJSON: # propertyURL = jsonItem["p"]["value"] # thirdPropertyURLList.append(propertyURL) # propertyName = jsonItem["propertyLabel"]["value"] # thirdPropertyLabelList.append(propertyName) # # RelFinder.thirdPropertyLabelURLDict = dict(zip(thirdPropertyLabelList, thirdPropertyURLList)) # # in_third_property.filter.list = thirdPropertyLabelList # arcpy.AddMessage("thirdPropertyURLList: {0}".format(thirdPropertyURLList)) # arcpy.AddMessage("thirdPropertyLabelList: {0}".format(thirdPropertyLabelList)) # # get the fourth property URL list and label list # if in_fourth_property_dir.value: # fristDirection = in_first_property_dir.valueAsText # firstProperty = in_first_property.valueAsText # secondDirection = in_second_property_dir.valueAsText # secondProperty = in_second_property.valueAsText # thirdDirection = in_third_property_dir.valueAsText # thirdProperty = in_third_property.valueAsText # fourthDirection = in_fourth_property_dir.valueAsText # if firstProperty == None: # firstProperty = "" # else: # firstProperty = RelFinder.firstPropertyLabelURLDict[firstProperty] # if secondProperty == None: # secondProperty = "" # else: # secondProperty = RelFinder.secondPropertyLabelURLDict[secondProperty] # if thirdProperty == None: # thirdProperty = "" # else: # thirdProperty = RelFinder.thirdPropertyLabelURLDict[thirdProperty] # # get the fourth property URL list # fourthPropertyURLListJsonBindingObject = SPARQLQuery.relFinderCommonPropertyQuery(inplaceIRIList, 4, [fristDirection, secondDirection, thirdDirection, fourthDirection], [firstProperty, secondProperty, thirdProperty]) # fourthPropertyURLList = [] # for jsonItem in fourthPropertyURLListJsonBindingObject: # fourthPropertyURLList.append(jsonItem["p4"]["value"]) # fourthPropertyLabelJSON = SPARQLQuery.locationCommonPropertyLabelQuery(fourthPropertyURLList) # # fourthPropertyLabelJSON = fourthPropertyLabelJSONObj["results"]["bindings"] # # get the fourth property label list # fourthPropertyURLList = [] # fourthPropertyLabelList = [] # for jsonItem in fourthPropertyLabelJSON: # propertyURL = jsonItem["p"]["value"] # fourthPropertyURLList.append(propertyURL) # propertyName = jsonItem["propertyLabel"]["value"] # fourthPropertyLabelList.append(propertyName) # # RelFinder.fourthPropertyLabelURLDict = dict(zip(fourthPropertyLabelList, fourthPropertyURLList)) # # in_fourth_property.filter.list = fourthPropertyLabelList # arcpy.AddMessage("fourthPropertyURLList: {0}".format(fourthPropertyURLList)) # arcpy.AddMessage("fourthPropertyLabelList: {0}".format(fourthPropertyLabelList)) # if relationDegree > 4: # relationDegree = 4 # in_relation_degree.value = 4 # locationCommonPropertyURL = LocationPropertyPath.locationCommonPropertyDict[locationCommonPropertyNameCount] # locationLinkageRelationJSONObj = SPARQLQuery.locationLinkageRelationQuery(inplaceIRIList, locationCommonPropertyURL, relationDegree) # locationLinkageRelationJSON = locationLinkageRelationJSONObj["results"]["bindings"] # endPlaceIRISet = Set() # for jsonItem in locationLinkageRelationJSON: # endPlaceIRISet.add(jsonItem["end"]["value"]) # endPlaceIRIList = list(endPlaceIRISet) # # endPlaceJSONObj = SPARQLQuery.endPlaceInformationQuery(endPlaceIRIList) # endPlaceJSON = SPARQLQuery.endPlaceInformationQuery(endPlaceIRIList) # Json2Field.creatPlaceFeatureClassFromJSON(endPlaceJSON, endFeatureClassName, None, "") # lastIndex = locationCommonPropertyNameCount.rfind("(") # locationCommonPropertyName = locationCommonPropertyNameCount[:lastIndex] # locationLinkageTableName = Json2Field.createLocationLinkageMappingTableFromJSON(locationLinkageRelationJSON, "origin", "end", inputFeatureClassName, endFeatureClassName, locationCommonPropertyURL, locationCommonPropertyName, relationDegree) # endFeatureRelationshipClassName = outFeatureClassName + "_" + locationLinkageTableName + "_RelClass" # arcpy.CreateRelationshipClass_management(outFeatureClassName, locationLinkageTableName, endFeatureRelationshipClassName, "SIMPLE", # "is "+ locationCommonPropertyName + "of", locationCommonPropertyName, # "FORWARD", "ONE_TO_MANY", "NONE", "URL", "end") # originFeatureRelationshipClassName = originFeatureClassName + "_" + locationLinkageTableName + "_RelClass" # arcpy.CreateRelationshipClass_management(originFeatureClassName, locationLinkageTableName, originFeatureRelationshipClassName, "SIMPLE", # locationCommonPropertyName, "is "+ locationCommonPropertyName + "of", # "FORWARD", "ONE_TO_MANY", "NONE", "URL", "origin") return class SPARQLQuery(object): @staticmethod def endPlaceInformationQuery(endPlaceIRIList): jsonBindingObject = [] i = 0 while i < len(endPlaceIRIList): if i + 50 > len(endPlaceIRIList): endPlaceIRISubList = endPlaceIRIList[i:] else: endPlaceIRISubList = endPlaceIRIList[i:(i+50)] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX geo-pos: <http://www.w3.org/2003/01/geo/wgs84_pos#> PREFIX omgeo: <http://www.ontotext.com/owlim/geo#> PREFIX dbpedia: <http://dbpedia.org/resource/> PREFIX dbp-ont: <http://dbpedia.org/ontology/> PREFIX ff: <http://factforge.net/> PREFIX om: <http://www.ontotext.com/owlim/> PREFIX wikibase: <http://wikiba.se/ontology#> PREFIX bd: <http://www.bigdata.com/rdf#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX geo: <http://www.opengis.net/ont/geosparql#>""" endPlaceQuery = queryPrefix + """SELECT distinct ?place ?placeLabel ?location WHERE { ?place wdt:P625 ?location . # retrieve the English label SERVICE wikibase:label {bd:serviceParam wikibase:language "en". ?place rdfs:label ?placeLabel .} ?place wdt:P31 ?placeFlatType. ?placeFlatType wdt:P279* wd:Q2221906. VALUES ?place {""" for IRI in endPlaceIRISubList: endPlaceQuery = endPlaceQuery + "<" + IRI + "> \n" endPlaceQuery = endPlaceQuery + """ } } """ endPlaceSparqlParam = {'query': endPlaceQuery, 'format': 'json'} endPlaceSparqlRequest = requests.get('https://query.wikidata.org/sparql', params=endPlaceSparqlParam) arcpy.AddMessage("SPARQL: {0}".format(endPlaceSparqlRequest.url)) jsonBindingObject.extend(endPlaceSparqlRequest.json()["results"]["bindings"]) i = i + 50 return jsonBindingObject @staticmethod def locationLinkageRelationQuery(inplaceIRIList, locationCommonPropertyURL, relationDegree): queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX wikibase: <http://wikiba.se/ontology#>""" locationLinkageQuery = queryPrefix + """select ?origin ?end where { ?origin """ for i in range(relationDegree-1): locationLinkageQuery += """<""" + locationCommonPropertyURL + """>/""" locationLinkageQuery += """<""" + locationCommonPropertyURL + """>""" + """?end. VALUES ?origin {""" for IRI in inplaceIRIList: locationLinkageQuery = locationLinkageQuery + "<" + IRI + "> \n" locationLinkageQuery = locationLinkageQuery + """ } } """ locationLinkageSparqlParam = {'query': locationLinkageQuery, 'format': 'json'} locationLinkageSparqlRequest = requests.get('https://query.wikidata.org/sparql', params=locationLinkageSparqlParam) arcpy.AddMessage("SPARQL: {0}".format(locationLinkageSparqlRequest.url)) return locationLinkageSparqlRequest.json() @staticmethod def locationCommonPropertyQuery(inplaceIRIList): queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX wikibase: <http://wikiba.se/ontology#>""" commonPropertyQuery = queryPrefix + """select distinct ?p (count(distinct ?s) as ?NumofSub) where { ?s ?p ?objPlace. ?objPlace wdt:P625 ?coordinate. #?objPlace wdt:P31 ?placeFlatType. #?placeFlatType wdt:P279* wd:Q2221906. VALUES ?s {""" for IRI in inplaceIRIList: commonPropertyQuery = commonPropertyQuery + "<" + IRI + "> \n" commonPropertyQuery = commonPropertyQuery + """ } } group by ?p order by DESC(?NumofSub) """ commonPropertySparqlParam = {'query': commonPropertyQuery, 'format': 'json'} commonPropertySparqlRequest = requests.get('https://query.wikidata.org/sparql', params=commonPropertySparqlParam) # print(commonPropertySparqlRequest.url) arcpy.AddMessage("SPARQL: {0}".format(commonPropertySparqlRequest.url)) # commonPropertyJSON = commonPropertySparqlRequest.json()["results"]["bindings"] return commonPropertySparqlRequest.json() @staticmethod def commonPropertyQuery(inplaceIRIList): queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" commonPropertyQuery = queryPrefix + """select distinct ?p (count(distinct ?s) as ?NumofSub) where { ?s owl:sameAs ?wikidataSub. ?s ?p ?o. VALUES ?wikidataSub {""" for IRI in inplaceIRIList: commonPropertyQuery = commonPropertyQuery + "<" + IRI + "> \n" commonPropertyQuery = commonPropertyQuery + """ } } group by ?p order by DESC(?NumofSub) """ commonPropertySparqlParam = {'query': commonPropertyQuery, 'format': 'json'} commonPropertySparqlRequest = requests.get('https://dbpedia.org/sparql', params=commonPropertySparqlParam) # print(commonPropertySparqlRequest.url) arcpy.AddMessage("SPARQL: {0}".format(commonPropertySparqlRequest.url)) return commonPropertySparqlRequest.json() @staticmethod def inverseCommonPropertyQuery(inplaceIRIList): queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" commonPropertyQuery = queryPrefix + """select distinct ?p (count(distinct ?s) as ?NumofSub) where { ?s owl:sameAs ?wikidataSub. ?o ?p ?s. VALUES ?wikidataSub {""" for IRI in inplaceIRIList: commonPropertyQuery = commonPropertyQuery + "<" + IRI + "> \n" commonPropertyQuery = commonPropertyQuery + """ } } group by ?p order by DESC(?NumofSub) """ commonPropertySparqlParam = {'query': commonPropertyQuery, 'format': 'json'} commonPropertySparqlRequest = requests.get('https://dbpedia.org/sparql', params=commonPropertySparqlParam) # print(commonPropertySparqlRequest.url) arcpy.AddMessage("SPARQL: {0}".format(commonPropertySparqlRequest.url)) return commonPropertySparqlRequest.json() @staticmethod def locationDBpediaExpandedCommonPropertyQuery(inplaceIRIList): queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" commonPropertyQuery = queryPrefix + """select distinct ?p (count(distinct ?subDivision) as ?NumofSub) where { ?s owl:sameAs ?wikidataSub. ?subDivision dbo:isPartOf+ ?s. ?subDivision ?p ?o. VALUES ?wikidataSub {""" for IRI in inplaceIRIList: commonPropertyQuery = commonPropertyQuery + "<" + IRI + "> \n" commonPropertyQuery = commonPropertyQuery + """ } } group by ?p order by DESC(?NumofSub) """ commonPropertySparqlParam = {'query': commonPropertyQuery, 'format': 'json'} commonPropertySparqlRequest = requests.get('https://dbpedia.org/sparql', params=commonPropertySparqlParam) # print(commonPropertySparqlRequest.url) arcpy.AddMessage("SPARQL: {0}".format(commonPropertySparqlRequest.url)) return commonPropertySparqlRequest.json() @staticmethod def locationDBpediaInverseExpandedCommonPropertyQuery(inplaceIRIList): queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" commonPropertyQuery = queryPrefix + """select distinct ?p (count(distinct ?subDivision) as ?NumofSub) where { ?s owl:sameAs ?wikidataSub. ?subDivision dbo:isPartOf+ ?s. ?o ?p ?subDivision. VALUES ?wikidataSub {""" for IRI in inplaceIRIList: commonPropertyQuery = commonPropertyQuery + "<" + IRI + "> \n" commonPropertyQuery = commonPropertyQuery + """ } } group by ?p order by DESC(?NumofSub) """ commonPropertySparqlParam = {'query': commonPropertyQuery, 'format': 'json'} commonPropertySparqlRequest = requests.get('https://dbpedia.org/sparql', params=commonPropertySparqlParam) # print(commonPropertySparqlRequest.url) arcpy.AddMessage("SPARQL: {0}".format(commonPropertySparqlRequest.url)) return commonPropertySparqlRequest.json() @staticmethod def locationCommonPropertyLabelQuery(locationCommonPropertyURLList): jsonBindingObject = [] i = 0 while i < len(locationCommonPropertyURLList): if i + 50 > len(locationCommonPropertyURLList): propertyIRISubList = locationCommonPropertyURLList[i:] else: propertyIRISubList = locationCommonPropertyURLList[i:(i+50)] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX wikibase: <http://wikiba.se/ontology#>""" commonPropertyLabelQuery = queryPrefix + """select ?p ?propertyLabel where { ?wdProperty wikibase:directClaim ?p. SERVICE wikibase:label {bd:serviceParam wikibase:language "en". ?wdProperty rdfs:label ?propertyLabel.} VALUES ?p {""" for propertyURL in propertyIRISubList: commonPropertyLabelQuery = commonPropertyLabelQuery + "<" + propertyURL + "> \n" commonPropertyLabelQuery = commonPropertyLabelQuery + """ } } """ commonPropertyLabelSparqlParam = {'query': commonPropertyLabelQuery, 'format': 'json'} commonPropertyLabelSparqlRequest = requests.get('https://query.wikidata.org/sparql', params=commonPropertyLabelSparqlParam) # print(commonPropertySparqlRequest.url) arcpy.AddMessage("SPARQL: {0}".format(commonPropertyLabelSparqlRequest.url)) # commonPropertyJSON = commonPropertySparqlRequest.json()["results"]["bindings"] jsonBindingObject.extend(commonPropertyLabelSparqlRequest.json()["results"]["bindings"]) i = i + 50 return jsonBindingObject @staticmethod def functionalPropertyQuery(propertyURLList): # give a list of property, get a sublist which are functional property # send a SPARQL query to DBpedia endpoint to test whether the user selected properties are functionalProperty jsonBindingObject = [] i = 0 while i < len(propertyURLList): if i + 50 > len(propertyURLList): propertyURLSubList = propertyURLList[i:] else: propertyURLSubList = propertyURLList[i:(i+50)] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" isFuncnalPropertyQuery = queryPrefix + """select ?property where { ?property a owl:FunctionalProperty. VALUES ?property {""" for propertyURL in propertyURLSubList: isFuncnalPropertyQuery = isFuncnalPropertyQuery + "<" + propertyURL + "> \n" isFuncnalPropertyQuery = isFuncnalPropertyQuery + """ } } """ isFuncnalPropertySparqlParam = {'query': isFuncnalPropertyQuery, 'format': 'json'} isFuncnalPropertySparqlRequest = requests.get('https://dbpedia.org/sparql', params=isFuncnalPropertySparqlParam) print(isFuncnalPropertySparqlRequest.url) arcpy.AddMessage("isFuncnalPropertySparqlRequest: {0}".format(isFuncnalPropertySparqlRequest.url)) jsonBindingObject.extend(isFuncnalPropertySparqlRequest.json()["results"]["bindings"]) i = i + 50 return jsonBindingObject # return isFuncnalPropertySparqlRequest.json() @staticmethod def inverseFunctionalPropertyQuery(propertyURLList): # give a list of property, get a sublist which are inverse functional property # send a SPARQL query to DBpedia endpoint to test whether the user selected properties are InverseFunctionalProperty jsonBindingObject = [] i = 0 while i < len(propertyURLList): if i + 50 > len(propertyURLList): propertyURLSubList = propertyURLList[i:] else: propertyURLSubList = propertyURLList[i:(i+50)] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" isFuncnalPropertyQuery = queryPrefix + """select ?property where { ?property a owl:InverseFunctionalProperty. VALUES ?property {""" for propertyURL in propertyURLSubList: isFuncnalPropertyQuery = isFuncnalPropertyQuery + "<" + propertyURL + "> \n" isFuncnalPropertyQuery = isFuncnalPropertyQuery + """ } } """ isFuncnalPropertySparqlParam = {'query': isFuncnalPropertyQuery, 'format': 'json'} isFuncnalPropertySparqlRequest = requests.get('https://dbpedia.org/sparql', params=isFuncnalPropertySparqlParam) print(isFuncnalPropertySparqlRequest.url) arcpy.AddMessage("isFuncnalPropertySparqlRequest: {0}".format(isFuncnalPropertySparqlRequest.url)) jsonBindingObject.extend(isFuncnalPropertySparqlRequest.json()["results"]["bindings"]) i = i + 50 return jsonBindingObject # return isFuncnalPropertySparqlRequest.json() @staticmethod def dbpediaIRIQuery(inplaceIRIList): # send a SPARQL query to DBpedia endpoint to get the DBpedia IRI according to wikidata IRI # inplaceIRIList: a list of wikidata IRI for locations in the Feature class queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" dbpediaIRIQuery = queryPrefix + """select ?DBpediaSub ?wikidataSub where { ?DBpediaSub owl:sameAs ?wikidataSub. VALUES ?wikidataSub { """ for IRI in inplaceIRIList: dbpediaIRIQuery = dbpediaIRIQuery + "<" + IRI + "> \n" dbpediaIRIQuery = dbpediaIRIQuery + """ } } """ dbpediaIRISparqlParam = {'query': dbpediaIRIQuery, 'format': 'json'} dbpediaIRISparqlRequest = requests.get('https://dbpedia.org/sparql', params=dbpediaIRISparqlParam) print(dbpediaIRISparqlRequest.url) arcpy.AddMessage("dbpediaIRISparqlRequest: {0}".format(dbpediaIRISparqlRequest.url)) return dbpediaIRISparqlRequest.json() @staticmethod def propertyValueQuery(inplaceIRIList, propertyURL): # according to a list of wikidata IRI (inplaceIRIList), get the value for a specific property (propertyURL) from DBpedia jsonBindingObject = [] i = 0 while i < len(inplaceIRIList): if i + 50 > len(inplaceIRIList): inplaceIRISubList = inplaceIRIList[i:] else: inplaceIRISubList = inplaceIRIList[i:(i+50)] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" PropertyValueQuery = queryPrefix + """select ?wikidataSub ?o where { ?s owl:sameAs ?wikidataSub. ?s <"""+ propertyURL +"""> ?o. VALUES ?wikidataSub { """ for IRI in inplaceIRISubList: PropertyValueQuery += "<" + IRI + "> \n" PropertyValueQuery += """ } } """ PropertyValueSparqlParam = {'query': PropertyValueQuery, 'format': 'json'} PropertyValueSparqlRequest = requests.get('https://dbpedia.org/sparql', params=PropertyValueSparqlParam) print(PropertyValueSparqlRequest.url) arcpy.AddMessage("PropertyValueSparqlRequest: {0}".format(PropertyValueSparqlRequest.url)) jsonBindingObject.extend(PropertyValueSparqlRequest.json()["results"]["bindings"]) i = i + 50 return jsonBindingObject # return PropertyValueSparqlRequest.json() @staticmethod def inversePropertyValueQuery(inplaceIRIList, propertyURL): # according to a list of wikidata IRI (inplaceIRIList), get the value for a specific property (propertyURL) from DBpedia jsonBindingObject = [] i = 0 while i < len(inplaceIRIList): if i + 50 > len(inplaceIRIList): inplaceIRISubList = inplaceIRIList[i:] else: inplaceIRISubList = inplaceIRIList[i:(i+50)] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" PropertyValueQuery = queryPrefix + """select ?wikidataSub ?o where { ?s owl:sameAs ?wikidataSub. ?o <"""+ propertyURL +"""> ?s. VALUES ?wikidataSub { """ for IRI in inplaceIRISubList: PropertyValueQuery += "<" + IRI + "> \n" PropertyValueQuery += """ } } """ PropertyValueSparqlParam = {'query': PropertyValueQuery, 'format': 'json'} PropertyValueSparqlRequest = requests.get('https://dbpedia.org/sparql', params=PropertyValueSparqlParam) print(PropertyValueSparqlRequest.url) arcpy.AddMessage("PropertyValueSparqlRequest: {0}".format(PropertyValueSparqlRequest.url)) jsonBindingObject.extend(PropertyValueSparqlRequest.json()["results"]["bindings"]) i = i + 50 return jsonBindingObject @staticmethod def isPartOfReverseTransiveQuery(inplaceIRIList): # according to a list of wikidata IRI (inplaceIRIList), get the coresponding DBpedia IRI. # Using "isPartOf" relation to get the subdivision of current DBpedia IRI locatoin jsonBindingObject = [] i = 0 while i < len(inplaceIRIList): if i + 50 > len(inplaceIRIList): inplaceIRISubList = inplaceIRIList[i:] else: inplaceIRISubList = inplaceIRIList[i:(i+50)] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" PropertyValueQuery = queryPrefix + """select ?wikidataSub ?subDivision where { ?s owl:sameAs ?wikidataSub. ?subDivision dbo:isPartOf+ ?s. VALUES ?wikidataSub { """ for IRI in inplaceIRISubList: PropertyValueQuery += "<" + IRI + "> \n" PropertyValueQuery += """ } } """ PropertyValueSparqlParam = {'query': PropertyValueQuery, 'format': 'json'} PropertyValueSparqlRequest = requests.get('https://dbpedia.org/sparql', params=PropertyValueSparqlParam) print(PropertyValueSparqlRequest.url) arcpy.AddMessage("PropertyValueSparqlRequest: {0}".format(PropertyValueSparqlRequest.url)) jsonBindingObject.extend(PropertyValueSparqlRequest.json()["results"]["bindings"]) i = i + 50 return jsonBindingObject @staticmethod def expandedPropertyValueQuery(inplaceIRIList, propertyURL): # according to a list of wikidata IRI (inplaceIRIList), get the coresponding DBpedia IRI. # Using "isPartOf" relation to get the subdivision of current DBpedia IRI locatoin and then get the value for a specific property (propertyURL) from DBpedia jsonBindingObject = [] i = 0 while i < len(inplaceIRIList): if i + 50 > len(inplaceIRIList): inplaceIRISubList = inplaceIRIList[i:] else: inplaceIRISubList = inplaceIRIList[i:(i+50)] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" PropertyValueQuery = queryPrefix + """select ?wikidataSub ?subDivision ?o where { ?s owl:sameAs ?wikidataSub. ?subDivision dbo:isPartOf+ ?s. ?subDivision <"""+ propertyURL +"""> ?o. VALUES ?wikidataSub { """ for IRI in inplaceIRISubList: PropertyValueQuery += "<" + IRI + "> \n" PropertyValueQuery += """ } } """ PropertyValueSparqlParam = {'query': PropertyValueQuery, 'format': 'json'} PropertyValueSparqlRequest = requests.get('https://dbpedia.org/sparql', params=PropertyValueSparqlParam) print(PropertyValueSparqlRequest.url) arcpy.AddMessage("PropertyValueSparqlRequest: {0}".format(PropertyValueSparqlRequest.url)) jsonBindingObject.extend(PropertyValueSparqlRequest.json()["results"]["bindings"]) i = i + 50 return jsonBindingObject # return PropertyValueSparqlRequest.json() @staticmethod def inverseExpandedPropertyValueQuery(inplaceIRIList, propertyURL): # according to a list of wikidata IRI (inplaceIRIList), get the coresponding DBpedia IRI. # Using "isPartOf" relation to get the subdivision of current DBpedia IRI locatoin and then get the value for a specific property (propertyURL) from DBpedia jsonBindingObject = [] i = 0 while i < len(inplaceIRIList): if i + 50 > len(inplaceIRIList): inplaceIRISubList = inplaceIRIList[i:] else: inplaceIRISubList = inplaceIRIList[i:(i+50)] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX owl: <http://www.w3.org/2002/07/owl#>""" PropertyValueQuery = queryPrefix + """select ?wikidataSub ?subDivision ?o where { ?s owl:sameAs ?wikidataSub. ?subDivision dbo:isPartOf+ ?s. ?o <"""+ propertyURL +"""> ?subDivision. VALUES ?wikidataSub { """ for IRI in inplaceIRISubList: PropertyValueQuery += "<" + IRI + "> \n" PropertyValueQuery += """ } } """ PropertyValueSparqlParam = {'query': PropertyValueQuery, 'format': 'json'} PropertyValueSparqlRequest = requests.get('https://dbpedia.org/sparql', params=PropertyValueSparqlParam) print(PropertyValueSparqlRequest.url) arcpy.AddMessage("PropertyValueSparqlRequest: {0}".format(PropertyValueSparqlRequest.url)) jsonBindingObject.extend(PropertyValueSparqlRequest.json()["results"]["bindings"]) i = i + 50 return jsonBindingObject @staticmethod def relFinderCommonPropertyQuery(inplaceIRIList, relationDegree, propertyDirectionList, selectPropertyURLList): # get the property URL list in the specific degree path from the inplaceIRIList # inplaceIRIList: the URL list of wikidata locations # relationDegree: the degree of the property on the path the current query wants to get # propertyDirectionList: the list of property direction, it has at most 4 elements, the length is the path degree. The element value is from ["BOTH", "ORIGIN", "DESTINATION"] # selectPropertyURLList: the selected peoperty URL list, it always has three elements, "" if no property has been selected if len(propertyDirectionList) == 1: selectParam = "?p1" elif len(propertyDirectionList) == 2: selectParam = "?p2" elif len(propertyDirectionList) == 3: selectParam = "?p3" elif len(propertyDirectionList) == 4: selectParam = "?p4" jsonBindingObject = [] i = 0 while i < len(inplaceIRIList): if i + 50 > len(inplaceIRIList): inplaceIRISubList = inplaceIRIList[i:] else: inplaceIRISubList = inplaceIRIList[i:(i+50)] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX geo-pos: <http://www.w3.org/2003/01/geo/wgs84_pos#> PREFIX omgeo: <http://www.ontotext.com/owlim/geo#> PREFIX dbpedia: <http://dbpedia.org/resource/> PREFIX dbp-ont: <http://dbpedia.org/ontology/> PREFIX ff: <http://factforge.net/> PREFIX om: <http://www.ontotext.com/owlim/> PREFIX wikibase: <http://wikiba.se/ontology#> PREFIX bd: <http://www.bigdata.com/rdf#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX geo: <http://www.opengis.net/ont/geosparql#>""" # ["BOTH", "ORIGIN", "DESTINATION"] # if propertyDirectionList[0] == "BOTH" relFinderPropertyQuery = queryPrefix + """SELECT distinct """ + selectParam + """ WHERE {""" if len(propertyDirectionList) > 0: if selectPropertyURLList[0] == "": if propertyDirectionList[0] == "BOTH": relFinderPropertyQuery += """{?place ?p1 ?o1.} UNION {?o1 ?p1 ?place.}\n""" elif propertyDirectionList[0] == "ORIGIN": relFinderPropertyQuery += """?place ?p1 ?o1.\n""" elif propertyDirectionList[0] == "DESTINATION": relFinderPropertyQuery += """?o1 ?p1 ?place.\n""" if relationDegree > 1: relFinderPropertyQuery += """?p1 a owl:ObjectProperty.\n""" else: if propertyDirectionList[0] == "BOTH": relFinderPropertyQuery += """{?place <"""+ selectPropertyURLList[0] + """> ?o1.} UNION {?o1 <"""+ selectPropertyURLList[0] + """> ?place.}\n""" elif propertyDirectionList[0] == "ORIGIN": relFinderPropertyQuery += """?place <"""+ selectPropertyURLList[0] + """> ?o1.\n""" elif propertyDirectionList[0] == "DESTINATION": relFinderPropertyQuery += """?o1 <"""+ selectPropertyURLList[0] + """> ?place.\n""" if len(propertyDirectionList) > 1: if selectPropertyURLList[1] == "": if propertyDirectionList[1] == "BOTH": relFinderPropertyQuery += """{?o1 ?p2 ?o2.} UNION {?o2 ?p2 ?o1.}\n""" elif propertyDirectionList[1] == "ORIGIN": relFinderPropertyQuery += """?o1 ?p2 ?o2.\n""" elif propertyDirectionList[1] == "DESTINATION": relFinderPropertyQuery += """?o2 ?p2 ?o1.\n""" if relationDegree > 2: relFinderPropertyQuery += """?p2 a owl:ObjectProperty.\n""" else: if propertyDirectionList[1] == "BOTH": relFinderPropertyQuery += """{?o1 <"""+ selectPropertyURLList[1] + """> ?o2.} UNION {?o2 <"""+ selectPropertyURLList[1] + """> ?o1.}\n""" elif propertyDirectionList[1] == "ORIGIN": relFinderPropertyQuery += """?o1 <"""+ selectPropertyURLList[1] + """> ?o2.\n""" elif propertyDirectionList[1] == "DESTINATION": relFinderPropertyQuery += """?o2 <"""+ selectPropertyURLList[1] + """> ?o1.\n""" if len(propertyDirectionList) > 2: if selectPropertyURLList[2] == "": if propertyDirectionList[2] == "BOTH": relFinderPropertyQuery += """{?o2 ?p3 ?o3.} UNION {?o3 ?p3 ?o2.}\n""" elif propertyDirectionList[2] == "ORIGIN": relFinderPropertyQuery += """?o2 ?p3 ?o3.\n""" elif propertyDirectionList[2] == "DESTINATION": relFinderPropertyQuery += """?o3 ?p3 ?o2.\n""" if relationDegree > 3: relFinderPropertyQuery += """?p3 a owl:ObjectProperty.\n""" else: if propertyDirectionList[2] == "BOTH": relFinderPropertyQuery += """{?o2 <"""+ selectPropertyURLList[2] + """> ?o3.} UNION {?o3 <"""+ selectPropertyURLList[2] + """> ?o2.}\n""" elif propertyDirectionList[2] == "ORIGIN": relFinderPropertyQuery += """?o2 <"""+ selectPropertyURLList[2] + """> ?o3.\n""" elif propertyDirectionList[2] == "DESTINATION": relFinderPropertyQuery += """?o3 <"""+ selectPropertyURLList[2] + """> ?o2.\n""" if len(propertyDirectionList) > 3: if propertyDirectionList[3] == "BOTH": relFinderPropertyQuery += """{?o3 ?p4 ?o4.} UNION {?o4 ?p4 ?o3.}\n""" elif propertyDirectionList[3] == "ORIGIN": relFinderPropertyQuery += """?o3 ?p4 ?o4.\n""" elif propertyDirectionList[3] == "DESTINATION": relFinderPropertyQuery += """?o4 ?p4 ?o3.\n""" relFinderPropertyQuery += """ VALUES ?place {""" for IRI in inplaceIRISubList: relFinderPropertyQuery = relFinderPropertyQuery + "<" + IRI + "> \n" relFinderPropertyQuery = relFinderPropertyQuery + """ } } """ relFinderPropertySparqlParam = {'query': relFinderPropertyQuery, 'format': 'json'} relFinderPropertySparqlRequest = requests.get('https://query.wikidata.org/sparql', params=relFinderPropertySparqlParam) arcpy.AddMessage("SPARQL: {0}".format(relFinderPropertySparqlRequest.url)) jsonBindingObject.extend(relFinderPropertySparqlRequest.json()["results"]["bindings"]) i = i + 50 return jsonBindingObject @staticmethod def relFinderTripleQuery(inplaceIRIList, propertyDirectionList, selectPropertyURLList): # get the triple set in the specific degree path from the inplaceIRIList # inplaceIRIList: the URL list of wikidata locations # propertyDirectionList: the list of property direction, it has at most 4 elements, the length is the path degree. The element value is from ["ORIGIN", "DESTINATION"] # selectPropertyURLList: the selected peoperty URL list, it always has 4 elements, "" if no property has been selected # get the selected parameter # selectParam = "?place ?p1 ?o1 ?p2 ?o2 ?p3 ?o3 ?p4 ?o4" selectParam = "?place " if len(propertyDirectionList) > 0: if selectPropertyURLList[0] == "": selectParam += "?p1 " selectParam += "?o1 " if len(propertyDirectionList) > 1: if selectPropertyURLList[1] == "": selectParam += "?p2 " selectParam += "?o2 " if len(propertyDirectionList) > 2: if selectPropertyURLList[2] == "": selectParam += "?p3 " selectParam += "?o3 " if len(propertyDirectionList) > 3: if selectPropertyURLList[3] == "": selectParam += "?p4 " selectParam += "?o4 " jsonBindingObject = [] i = 0 while i < len(inplaceIRIList): if i + 50 > len(inplaceIRIList): inplaceIRISubList = inplaceIRIList[i:] else: inplaceIRISubList = inplaceIRIList[i:(i+50)] queryPrefix = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX geo-pos: <http://www.w3.org/2003/01/geo/wgs84_pos#> PREFIX omgeo: <http://www.ontotext.com/owlim/geo#> PREFIX dbpedia: <http://dbpedia.org/resource/> PREFIX dbp-ont: <http://dbpedia.org/ontology/> PREFIX ff: <http://factforge.net/> PREFIX om: <http://www.ontotext.com/owlim/> PREFIX wikibase: <http://wikiba.se/ontology#> PREFIX bd: <http://www.bigdata.com/rdf#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> PREFIX geo: <http://www.opengis.net/ont/geosparql#>""" relFinderPropertyQuery = queryPrefix + """SELECT distinct """ + selectParam + """ WHERE {""" if len(propertyDirectionList) > 0: if selectPropertyURLList[0] == "": # if propertyDirectionList[0] == "BOTH": # relFinderPropertyQuery += """{?place ?p1 ?o1.} UNION {?o1 ?p1 ?place.}\n""" if propertyDirectionList[0] == "ORIGIN": relFinderPropertyQuery += """?place ?p1 ?o1.\n""" elif propertyDirectionList[0] == "DESTINATION": relFinderPropertyQuery += """?o1 ?p1 ?place.\n""" else: # if propertyDirectionList[0] == "BOTH": # relFinderPropertyQuery += """{?place <"""+ selectPropertyURLList[0] + """> ?o1.} UNION {?o1 <"""+ selectPropertyURLList[0] + """> ?place.}\n""" if propertyDirectionList[0] == "ORIGIN": relFinderPropertyQuery += """?place <"""+ selectPropertyURLList[0] + """> ?o1.\n""" elif propertyDirectionList[0] == "DESTINATION": relFinderPropertyQuery += """?o1 <"""+ selectPropertyURLList[0] + """> ?place.\n""" if len(propertyDirectionList) > 1: if selectPropertyURLList[1] == "": # if propertyDirectionList[1] == "BOTH": # relFinderPropertyQuery += """{?o1 ?p2 ?o2.} UNION {?o2 ?p2 ?o1.}\n""" if propertyDirectionList[1] == "ORIGIN": relFinderPropertyQuery += """?o1 ?p2 ?o2.\n""" elif propertyDirectionList[1] == "DESTINATION": relFinderPropertyQuery += """?o2 ?p2 ?o1.\n""" else: # if propertyDirectionList[1] == "BOTH": # relFinderPropertyQuery += """{?o1 <"""+ selectPropertyURLList[1] + """> ?o2.} UNION {?o2 <"""+ selectPropertyURLList[1] + """> ?o1.}\n""" if propertyDirectionList[1] == "ORIGIN": relFinderPropertyQuery += """?o1 <"""+ selectPropertyURLList[1] + """> ?o2.\n""" elif propertyDirectionList[1] == "DESTINATION": relFinderPropertyQuery += """?o2 <"""+ selectPropertyURLList[1] + """> ?o1.\n""" if len(propertyDirectionList) > 2: if selectPropertyURLList[2] == "": # if propertyDirectionList[2] == "BOTH": # relFinderPropertyQuery += """{?o2 ?p3 ?o3.} UNION {?o3 ?p3 ?o2.}\n""" if propertyDirectionList[2] == "ORIGIN": relFinderPropertyQuery += """?o2 ?p3 ?o3.\n""" elif propertyDirectionList[2] == "DESTINATION": relFinderPropertyQuery += """?o3 ?p3 ?o2.\n""" else: # if propertyDirectionList[2] == "BOTH": # relFinderPropertyQuery += """{?o2 <"""+ selectPropertyURLList[2] + """> ?o3.} UNION {?o3 <"""+ selectPropertyURLList[2] + """> ?o2.}\n""" if propertyDirectionList[2] == "ORIGIN": relFinderPropertyQuery += """?o2 <"""+ selectPropertyURLList[2] + """> ?o3.\n""" elif propertyDirectionList[2] == "DESTINATION": relFinderPropertyQuery += """?o3 <"""+ selectPropertyURLList[2] + """> ?o2.\n""" if len(propertyDirectionList) > 3: if selectPropertyURLList[3] == "": # if propertyDirectionList[3] == "BOTH": # relFinderPropertyQuery += """{?o3 ?p4 ?o4.} UNION {?o4 ?p4 ?o3.}\n""" if propertyDirectionList[3] == "ORIGIN": relFinderPropertyQuery += """?o3 ?p4 ?o4.\n""" elif propertyDirectionList[3] == "DESTINATION": relFinderPropertyQuery += """?o4 ?p4 ?o3.\n""" else: # if propertyDirectionList[3] == "BOTH": # relFinderPropertyQuery += """{?o3 <"""+ selectPropertyURLList[3] + """> ?o4.} UNION {?o4 <"""+ selectPropertyURLList[3] + """> ?o3.}\n""" if propertyDirectionList[3] == "ORIGIN": relFinderPropertyQuery += """?o3 <"""+ selectPropertyURLList[3] + """> ?o4.\n""" elif propertyDirectionList[3] == "DESTINATION": relFinderPropertyQuery += """?o4 <"""+ selectPropertyURLList[3] + """> ?o3.\n""" relFinderPropertyQuery += """ VALUES ?place {""" for IRI in inplaceIRISubList: relFinderPropertyQuery = relFinderPropertyQuery + "<" + IRI + "> \n" relFinderPropertyQuery = relFinderPropertyQuery + """ } } """ relFinderPropertySparqlParam = {'query': relFinderPropertyQuery, 'format': 'json'} relFinderPropertySparqlRequest = requests.get('https://query.wikidata.org/sparql', params=relFinderPropertySparqlParam) arcpy.AddMessage("SPARQL: {0}".format(relFinderPropertySparqlRequest.url)) jsonBindingObject.extend(relFinderPropertySparqlRequest.json()["results"]["bindings"]) i = i + 50 tripleStore = dict() Triple = namedtuple("Triple", ["s", "p", "o"]) for jsonItem in jsonBindingObject: if len(propertyDirectionList) > 0: # triple = [] if selectPropertyURLList[0] == "": if propertyDirectionList[0] == "ORIGIN": # relFinderPropertyQuery += """?place ?p1 ?o1.\n""" currentTriple = Triple(s = jsonItem["place"]["value"], p = jsonItem["p1"]["value"], o = jsonItem["o1"]["value"]) elif propertyDirectionList[0] == "DESTINATION": # relFinderPropertyQuery += """?o1 ?p1 ?place.\n""" currentTriple = Triple(s = jsonItem["o1"]["value"], p = jsonItem["p1"]["value"], o = jsonItem["place"]["value"]) # triple = [jsonItem["o1"]["value"], jsonItem["p1"]["value"], jsonItem["place"]["value"]] else: if propertyDirectionList[0] == "ORIGIN": # relFinderPropertyQuery += """?place <"""+ selectPropertyURLList[0] + """> ?o1.\n""" currentTriple = Triple(s = jsonItem["place"]["value"], p = selectPropertyURLList[0], o = jsonItem["o1"]["value"]) # triple = [jsonItem["place"]["value"], selectPropertyURLList[0], jsonItem["o1"]["value"]] elif propertyDirectionList[0] == "DESTINATION": # relFinderPropertyQuery += """?o1 <"""+ selectPropertyURLList[0] + """> ?place.\n""" currentTriple = Triple(s = jsonItem["o1"]["value"], p = selectPropertyURLList[0], o = jsonItem["place"]["value"]) # triple = [jsonItem["o1"]["value"], selectPropertyURLList[0], jsonItem["place"]["value"]] if currentTriple not in tripleStore: tripleStore[currentTriple] = 1 else: if tripleStore[currentTriple] > 1: tripleStore[currentTriple] = 1 if len(propertyDirectionList) > 1: # triple = [] if selectPropertyURLList[1] == "": if propertyDirectionList[1] == "ORIGIN": # relFinderPropertyQuery += """?o1 ?p2 ?o2.\n""" currentTriple = Triple(s = jsonItem["o1"]["value"], p = jsonItem["p2"]["value"], o = jsonItem["o2"]["value"]) # triple = [jsonItem["o1"]["value"], jsonItem["p2"]["value"], jsonItem["o2"]["value"]] elif propertyDirectionList[1] == "DESTINATION": # relFinderPropertyQuery += """?o2 ?p2 ?o1.\n""" currentTriple = Triple(s = jsonItem["o2"]["value"], p = jsonItem["p2"]["value"], o = jsonItem["o1"]["value"]) # triple = [jsonItem["o2"]["value"], jsonItem["p2"]["value"], jsonItem["o1"]["value"]] else: if propertyDirectionList[1] == "ORIGIN": # relFinderPropertyQuery += """?o1 <"""+ selectPropertyURLList[1] + """> ?o2.\n""" currentTriple = Triple(s = jsonItem["o1"]["value"], p = selectPropertyURLList[1], o = jsonItem["o2"]["value"]) # triple = [jsonItem["o1"]["value"], selectPropertyURLList[1], jsonItem["o2"]["value"]] elif propertyDirectionList[1] == "DESTINATION": # relFinderPropertyQuery += """?o2 <"""+ selectPropertyURLList[1] + """> ?o1.\n""" currentTriple = Triple(s = jsonItem["o2"]["value"], p = selectPropertyURLList[1], o = jsonItem["o1"]["value"]) # triple = [jsonItem["o2"]["value"], selectPropertyURLList[1], jsonItem["o1"]["value"]] if currentTriple not in tripleStore: tripleStore[currentTriple] = 2 else: if tripleStore[currentTriple] > 2: tripleStore[currentTriple] = 2 if len(propertyDirectionList) > 2: # triple = [] if selectPropertyURLList[2] == "": if propertyDirectionList[2] == "ORIGIN": # relFinderPropertyQuery += """?o2 ?p3 ?o3.\n""" currentTriple = Triple(s = jsonItem["o2"]["value"], p = jsonItem["p3"]["value"], o = jsonItem["o3"]["value"]) # triple = [jsonItem["o2"]["value"], jsonItem["p3"]["value"], jsonItem["o3"]["value"]] elif propertyDirectionList[2] == "DESTINATION": # relFinderPropertyQuery += """?o3 ?p3 ?o2.\n""" currentTriple = Triple(s = jsonItem["o3"]["value"], p = jsonItem["p3"]["value"], o = jsonItem["o2"]["value"]) # triple = [jsonItem["o3"]["value"], jsonItem["p3"]["value"], jsonItem["o2"]["value"]] else: if propertyDirectionList[2] == "ORIGIN": # relFinderPropertyQuery += """?o2 <"""+ selectPropertyURLList[2] + """> ?o3.\n""" currentTriple = Triple(s = jsonItem["o2"]["value"], p = selectPropertyURLList[2], o = jsonItem["o3"]["value"]) # triple = [jsonItem["o2"]["value"], selectPropertyURLList[2], jsonItem["o3"]["value"]] elif propertyDirectionList[2] == "DESTINATION": # relFinderPropertyQuery += """?o3 <"""+ selectPropertyURLList[2] + """> ?o2.\n""" currentTriple = Triple(s = jsonItem["o3"]["value"], p = selectPropertyURLList[2], o = jsonItem["o2"]["value"]) # triple = [jsonItem["o3"]["value"], selectPropertyURLList[2], jsonItem["o2"]["value"]] if currentTriple not in tripleStore: tripleStore[currentTriple] = 3 else: if tripleStore[currentTriple] > 3: tripleStore[currentTriple] = 3 if len(propertyDirectionList) > 3: triple = [] if selectPropertyURLList[3] == "": if propertyDirectionList[3] == "ORIGIN": # relFinderPropertyQuery += """?o3 ?p4 ?o4.\n""" currentTriple = Triple(s = jsonItem["o3"]["value"], p = jsonItem["p4"]["value"], o = jsonItem["o4"]["value"]) # triple = [jsonItem["o3"]["value"], jsonItem["p4"]["value"], jsonItem["o4"]["value"]] elif propertyDirectionList[3] == "DESTINATION": # relFinderPropertyQuery += """?o4 ?p4 ?o3.\n""" currentTriple = Triple(s = jsonItem["o4"]["value"], p = jsonItem["p4"]["value"], o = jsonItem["o3"]["value"]) # triple = [jsonItem["o4"]["value"], jsonItem["p4"]["value"], jsonItem["o3"]["value"]] else: if propertyDirectionList[3] == "ORIGIN": # relFinderPropertyQuery += """?o3 <"""+ selectPropertyURLList[3] + """> ?o4.\n""" currentTriple = Triple(s = jsonItem["o3"]["value"], p = selectPropertyURLList[3], o = jsonItem["o4"]["value"]) # triple = [jsonItem["o3"]["value"], selectPropertyURLList[3], jsonItem["o4"]["value"]] elif propertyDirectionList[3] == "DESTINATION": # relFinderPropertyQuery += """?o4 <"""+ selectPropertyURLList[3] + """> ?o3.\n""" currentTriple = Triple(s = jsonItem["o4"]["value"], p = selectPropertyURLList[3], o = jsonItem["o3"]["value"]) # triple = [jsonItem["o4"]["value"], selectPropertyURLList[3], jsonItem["o3"]["value"]] if currentTriple not in tripleStore: tripleStore[currentTriple] = 4 # tripleStore = [] # for jsonItem in jsonBindingObject: # if len(propertyDirectionList) > 0: # triple = [] # if selectPropertyURLList[0] == "": # if propertyDirectionList[0] == "ORIGIN": # # relFinderPropertyQuery += """?place ?p1 ?o1.\n""" # triple = [jsonItem["place"]["value"], jsonItem["p1"]["value"], jsonItem["o1"]["value"]] # elif propertyDirectionList[0] == "DESTINATION": # # relFinderPropertyQuery += """?o1 ?p1 ?place.\n""" # triple = [jsonItem["o1"]["value"], jsonItem["p1"]["value"], jsonItem["place"]["value"]] # else: # if propertyDirectionList[0] == "ORIGIN": # # relFinderPropertyQuery += """?place <"""+ selectPropertyURLList[0] + """> ?o1.\n""" # triple = [jsonItem["place"]["value"], selectPropertyURLList[0], jsonItem["o1"]["value"]] # elif propertyDirectionList[0] == "DESTINATION": # # relFinderPropertyQuery += """?o1 <"""+ selectPropertyURLList[0] + """> ?place.\n""" # triple = [jsonItem["o1"]["value"], selectPropertyURLList[0], jsonItem["place"]["value"]] # if triple not in tripleStore: # tripleStore.append(triple) # if len(propertyDirectionList) > 1: # triple = [] # if selectPropertyURLList[1] == "": # if propertyDirectionList[1] == "ORIGIN": # # relFinderPropertyQuery += """?o1 ?p2 ?o2.\n""" # triple = [jsonItem["o1"]["value"], jsonItem["p2"]["value"], jsonItem["o2"]["value"]] # elif propertyDirectionList[1] == "DESTINATION": # # relFinderPropertyQuery += """?o2 ?p2 ?o1.\n""" # triple = [jsonItem["o2"]["value"], jsonItem["p2"]["value"], jsonItem["o1"]["value"]] # else: # if propertyDirectionList[1] == "ORIGIN": # # relFinderPropertyQuery += """?o1 <"""+ selectPropertyURLList[1] + """> ?o2.\n""" # triple = [jsonItem["o1"]["value"], selectPropertyURLList[1], jsonItem["o2"]["value"]] # elif propertyDirectionList[1] == "DESTINATION": # # relFinderPropertyQuery += """?o2 <"""+ selectPropertyURLList[1] + """> ?o1.\n""" # triple = [jsonItem["o2"]["value"], selectPropertyURLList[1], jsonItem["o1"]["value"]] # if triple not in tripleStore: # tripleStore.append(triple) # if len(propertyDirectionList) > 2: # triple = [] # if selectPropertyURLList[2] == "": # if propertyDirectionList[2] == "ORIGIN": # # relFinderPropertyQuery += """?o2 ?p3 ?o3.\n""" # triple = [jsonItem["o2"]["value"], jsonItem["p3"]["value"], jsonItem["o3"]["value"]] # elif propertyDirectionList[2] == "DESTINATION": # # relFinderPropertyQuery += """?o3 ?p3 ?o2.\n""" # triple = [jsonItem["o3"]["value"], jsonItem["p3"]["value"], jsonItem["o2"]["value"]] # else: # if propertyDirectionList[2] == "ORIGIN": # # relFinderPropertyQuery += """?o2 <"""+ selectPropertyURLList[2] + """> ?o3.\n""" # triple = [jsonItem["o2"]["value"], selectPropertyURLList[2], jsonItem["o3"]["value"]] # elif propertyDirectionList[2] == "DESTINATION": # # relFinderPropertyQuery += """?o3 <"""+ selectPropertyURLList[2] + """> ?o2.\n""" # triple = [jsonItem["o3"]["value"], selectPropertyURLList[2], jsonItem["o2"]["value"]] # if triple not in tripleStore: # tripleStore.append(triple) # if len(propertyDirectionList) > 3: # triple = [] # if selectPropertyURLList[3] == "": # if propertyDirectionList[3] == "ORIGIN": # # relFinderPropertyQuery += """?o3 ?p4 ?o4.\n""" # triple = [jsonItem["o3"]["value"], jsonItem["p4"]["value"], jsonItem["o4"]["value"]] # elif propertyDirectionList[3] == "DESTINATION": # # relFinderPropertyQuery += """?o4 ?p4 ?o3.\n""" # triple = [jsonItem["o4"]["value"], jsonItem["p4"]["value"], jsonItem["o3"]["value"]] # else: # if propertyDirectionList[3] == "ORIGIN": # # relFinderPropertyQuery += """?o3 <"""+ selectPropertyURLList[3] + """> ?o4.\n""" # triple = [jsonItem["o3"]["value"], selectPropertyURLList[3], jsonItem["o4"]["value"]] # elif propertyDirectionList[3] == "DESTINATION": # # relFinderPropertyQuery += """?o4 <"""+ selectPropertyURLList[3] + """> ?o3.\n""" # triple = [jsonItem["o4"]["value"], selectPropertyURLList[3], jsonItem["o3"]["value"]] # if triple not in tripleStore: # tripleStore.append(triple) return tripleStore class UTIL(object): # @staticmethod # def addTriple2TripleStore(tripleStore, newTriple): # # newTriple: [subject, predicate, object, degree] # # add newTriple to the tripleStore. # # If S-P-O is in the tripleStore, update the degree to the smaller one between the original degree in tripleSpre and the one in newTriple # # If S-P-O is not in the tripleStore, add it # isInTripleStore = False # for element in tripleStore: # if element[0] == newTriple[0] and element[1] == newTriple[1] and element[2] == newTriple[2]: @staticmethod def mergeTripleStoreDicts(superTripleStore, childTripleStore): # superTripleStore and childTripleStore: dict() object with key nameTuple Triple("Triple",["s", "p", "o"]) # add childTripleStore to superTripleStore. # If S-P-O is in the superTripleStore, update the degree to the smaller one between the original degree in superTripleStore and the one in childTripleStore # If S-P-O is not in the superTripleStore, add it for triple in childTripleStore: if triple not in superTripleStore: superTripleStore[triple] = childTripleStore[triple] else: if superTripleStore[triple] > childTripleStore[triple]: superTripleStore[triple] = childTripleStore[triple] return superTripleStore @staticmethod def mergeListsWithUniqueElement(superList, childList): # merge childList to superList, append the elements which are not in superList to superList for element in childList: if element not in superList: superList.append(element) return superList @staticmethod def directionListFromBoth2OD(propertyDirectionList): # given a list of direction, return a list of lists which change a list with "BOTH" to two list with "ORIGIN" and "DESTINATION" # e.g. ["BOTH", "ORIGIN", "DESTINATION", "ORIGIN"] -> ["ORIGIN", "ORIGIN", "DESTINATION", "ORIGIN"] and ["DESTINATION", "ORIGIN", "DESTINATION", "ORIGIN"] # propertyDirectionList: a list of direction from ["BOTH", "ORIGIN", "DESTINATION"], it has at most 4 elements propertyDirectionExpandedLists = [] propertyDirectionExpandedLists.append(propertyDirectionList) resultList = [] for currentPropertyDirectionList in propertyDirectionExpandedLists: i = 0 indexOfBOTH = -1 while i < len(currentPropertyDirectionList): if currentPropertyDirectionList[i] == "BOTH": indexOfBOTH = i break i = i + 1 if indexOfBOTH != -1: newList1 = currentPropertyDirectionList[:] newList1[indexOfBOTH] = "ORIGIN" propertyDirectionExpandedLists.append(newList1) newList2 = currentPropertyDirectionList[:] newList2[indexOfBOTH] = "DESTINATION" propertyDirectionExpandedLists.append(newList2) else: if currentPropertyDirectionList not in resultList: resultList.append(currentPropertyDirectionList) return resultList @staticmethod def buildMultiValueDictFromNoFunctionalProperty(fieldName, tableName): # build a collections.defaultdict object to store the multivalue for each no-functional property's subject. # The subject "wikiURL" is the key, the corespnding property value in "fieldName" is the value if UTIL.isFieldNameInTable(fieldName, tableName): noFunctionalPropertyDict = defaultdict(list) # fieldList = arcpy.ListFields(tableName) srows = None srows = arcpy.SearchCursor(tableName, '', '', '', '{0} A;{1} A'.format('wikiURL', fieldName)) for row in srows: foreignKeyValue = row.getValue('wikiURL') noFunctionalPropertyValue = row.getValue(fieldName) # if from_field in ['Double', 'Float']: # value = locale.format('%s', (row.getValue(from_field))) if noFunctionalPropertyValue <> None: noFunctionalPropertyDict[foreignKeyValue].append(noFunctionalPropertyValue) return noFunctionalPropertyDict else: return -1 @staticmethod def appendFieldInFeatureClassByMergeRule(inputFeatureClassName, noFunctionalPropertyDict, appendFieldName, relatedTableName, mergeRule, delimiter): # append a new field in inputFeatureClassName which will install the merged no-functional property value # noFunctionalPropertyDict: the collections.defaultdict object which stores the no-functional property value for each URL # appendFieldName: the field name of no-functional property in the relatedTableName # mergeRule: the merge rule the user selected, one of ['SUM', 'MIN', 'MAX', 'STDEV', 'MEAN', 'COUNT', 'FIRST', 'LAST'] # delimiter: the optional paramter which define the delimiter of the cancatenate operation appendFieldType = '' appendFieldLength = 0 fieldList = arcpy.ListFields(relatedTableName) for field in fieldList: if field.name == appendFieldName: appendFieldType = field.type if field.type == "String": appendFieldLength = field.length break mergeRuleField = '' if mergeRule == 'SUM': mergeRuleField = 'SUM' elif mergeRule == 'MIN': mergeRuleField = 'MIN' elif mergeRule == 'MAX': mergeRuleField = 'MAX' elif mergeRule == 'STDEV': mergeRuleField = 'STD' elif mergeRule == 'MEAN': mergeRuleField = 'MEN' elif mergeRule == 'COUNT': mergeRuleField = 'COUNT' elif mergeRule == 'FIRST': mergeRuleField = 'FIRST' elif mergeRule == 'LAST': mergeRuleField = 'LAST' elif mergeRule == 'CONCATENATE': mergeRuleField = 'CONCAT' if appendFieldType != "String": cursor = arcpy.SearchCursor(relatedTableName) for row in cursor: rowValue = row.getValue(appendFieldName) if appendFieldLength < len(str(rowValue)): appendFieldLength = len(str(rowValue)) # subFieldName = appendFieldName[:5] # arcpy.AddMessage("subFieldName: {0}".format(subFieldName)) # featureClassAppendFieldName = subFieldName + "_" + mergeRuleField featureClassAppendFieldName = appendFieldName + "_" + mergeRuleField newAppendFieldName = UTIL.getFieldNameWithTable(featureClassAppendFieldName, inputFeatureClassName) if newAppendFieldName != -1: if mergeRule == 'COUNT': arcpy.AddField_management(inputFeatureClassName, newAppendFieldName, "SHORT") elif mergeRule == 'STDEV' or mergeRule == 'MEAN': arcpy.AddField_management(inputFeatureClassName, newAppendFieldName, "DOUBLE") elif mergeRule == 'CONCATENATE': # get the maximum number of values for current property: maxNumOfValue # maxNumOfValue * field.length = the length of new append field maxNumOfValue = 1 for key in noFunctionalPropertyDict: if maxNumOfValue < len(noFunctionalPropertyDict[key]): maxNumOfValue = len(noFunctionalPropertyDict[key]) arcpy.AddField_management(inputFeatureClassName, newAppendFieldName, 'TEXT', field_length=appendFieldLength * maxNumOfValue) else: if appendFieldType == "String": arcpy.AddField_management(inputFeatureClassName, newAppendFieldName, appendFieldType, field_length=appendFieldLength) else: arcpy.AddField_management(inputFeatureClassName, newAppendFieldName, appendFieldType) if UTIL.isFieldNameInTable("URL", inputFeatureClassName): urows = None urows = arcpy.UpdateCursor(inputFeatureClassName) for row in urows: foreignKeyValue = row.getValue("URL") noFunctionalPropertyValueList = noFunctionalPropertyDict[foreignKeyValue] if len(noFunctionalPropertyValueList) != 0: rowValue = "" # if mergeRule in ['STDEV', 'MEAN']: # if appendFieldType in ['Single', 'Double']: # if mergeRule == 'MEAN': # rowValue = numpy.average(noFunctionalPropertyValueList) # elif mergeRule == 'STDEV': # rowValue = numpy.std(noFunctionalPropertyValueList) # else: # arcpy.AddError("The {0} data type of Field {1} does not support {2} merge rule".format(appendFieldType, appendFieldName, mergeRule)) # raise arcpy.ExecuteError # elif mergeRule in ['SUM', 'MIN', 'MAX']: # if appendFieldType in ['Single', 'Double', 'SmallInteger', 'Integer']: # if mergeRule == 'SUM': # rowValue = numpy.sum(noFunctionalPropertyValueList) # elif mergeRule == 'MIN': # rowValue = numpy.amin(noFunctionalPropertyValueList) # elif mergeRule == 'MAX': # rowValue = numpy.amax(noFunctionalPropertyValueList) # else: # arcpy.AddError("The {0} data type of Field {1} does not support {2} merge rule".format(appendFieldType, appendFieldName, mergeRule)) if mergeRule in ['STDEV', 'MEAN', 'SUM', 'MIN', 'MAX']: if appendFieldType in ['Single', 'Double', 'SmallInteger', 'Integer']: if mergeRule == 'MEAN': rowValue = numpy.average(noFunctionalPropertyValueList) elif mergeRule == 'STDEV': rowValue = numpy.std(noFunctionalPropertyValueList) elif mergeRule == 'SUM': rowValue = numpy.sum(noFunctionalPropertyValueList) elif mergeRule == 'MIN': rowValue = numpy.amin(noFunctionalPropertyValueList) elif mergeRule == 'MAX': rowValue = numpy.amax(noFunctionalPropertyValueList) else: arcpy.AddError("The {0} data type of Field {1} does not support {2} merge rule".format(appendFieldType, appendFieldName, mergeRule)) elif mergeRule in ['COUNT', 'FIRST', 'LAST']: if mergeRule == 'COUNT': rowValue = len(noFunctionalPropertyValueList) elif mergeRule == 'FIRST': rowValue = noFunctionalPropertyValueList[0] elif mergeRule == 'LAST': rowValue = noFunctionalPropertyValueList[len(noFunctionalPropertyValueList)-1] elif mergeRule == 'CONCATENATE': value = "" if appendFieldType in ['String']: rowValue = delimiter.join(sorted(set([val for val in noFunctionalPropertyValueList if not value is None]))) else: rowValue = delimiter.join(sorted(set([str(val) for val in noFunctionalPropertyValueList if not value is None]))) row.setValue(newAppendFieldName, rowValue) urows.updateRow(row) @staticmethod def getPropertyName(propertyURL): # give a URL of property, get the property name (without prefix) if "#" in propertyURL: lastIndex = propertyURL.rfind("#") propertyName = propertyURL[(lastIndex+1):] else: lastIndex = propertyURL.rfind("/") propertyName = propertyURL[(lastIndex+1):] return propertyName @staticmethod def getFieldNameWithTable(propertyName, inputFeatureClassName): # give a property Name which have been sliced by getPropertyName(propertyURL) # decide whether its lengh is larger than 10 # decide whether it is already in the feature class table # return the final name of this field, if return -1, that mean the field name has more than 10 times in this table, you just do nothing # if len(propertyName) > 10: # propertyName = propertyName[:9] isfieldNameinTable = UTIL.isFieldNameInTable(propertyName, inputFeatureClassName) if isfieldNameinTable == False: return propertyName else: return UTIL.changeFieldNameWithTable(propertyName, inputFeatureClassName) @staticmethod def changeFieldNameWithTable(propertyName, inputFeatureClassName): for i in range(1,10): propertyName = propertyName[:(len(propertyName)-1)] + str(i) isfieldNameinTable = UTIL.isFieldNameInTable(propertyName, inputFeatureClassName) if isfieldNameinTable == False: return propertyName return -1 @staticmethod def isFieldNameInTable(fieldName, inputFeatureClassName): fieldList = arcpy.ListFields(inputFeatureClassName) isfieldNameinFieldList = False for field in fieldList: if field.name == fieldName: isfieldNameinFieldList = True break return isfieldNameinFieldList @staticmethod def getFieldLength(fieldName, inputFeatureClassName): fieldList = arcpy.ListFields(inputFeatureClassName) for field in fieldList: if field.name == fieldName: return field.length return -1 @staticmethod def getFieldDataTypeInTable(fieldName, inputFeatureClassName): fieldList = arcpy.ListFields(inputFeatureClassName) for field in fieldList: if field.name == fieldName: return field.type return -1 @staticmethod def detectRelationship(inputFeatureClassName, inputTableName): # given full path of feature class and table, decide whether there are a relationship class in this current fiel geodatabase between them # return False, if inputFeatureClassName and inputTableName are in different filegeodatabase lastIndexOFGDB = inputFeatureClassName.rfind("\\") featureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] featureClassWorkspace = inputFeatureClassName[:lastIndexOFGDB] lastIndexOFTable = inputTableName.rfind("\\") tableName = inputTableName[(lastIndexOFTable+1):] tableWorkspace = inputTableName[:lastIndexOFTable] isFeatureClassAndTableRelated = False # arcpy.AddMessage("featureClassName: {0}".format(featureClassName)) # arcpy.AddMessage("tableName: {0}".format(tableName)) if featureClassWorkspace == tableWorkspace and featureClassWorkspace.endswith(".gdb"): workspace = featureClassWorkspace rc_list = [c.name for c in arcpy.Describe(workspace).children if c.datatype == "RelationshipClass"] for rc in rc_list: rc_path = workspace + "\\" + rc des_rc = arcpy.Describe(rc_path) origin = des_rc.originClassNames destination = des_rc.destinationClassNames # print "Relationship Class: %s \n Origin: %s \n Desintation: %s" %(rc, origin, destination) # arcpy.AddMessage("Relationship Class: {0} \n Origin: {1} \n Desintation: {2}".format(rc, origin, destination)) if origin[0] == featureClassName and destination[0] == tableName: isFeatureClassAndTableRelated = True # arcpy.AddMessage("Yes!!!!!!!!!!!") break return isFeatureClassAndTableRelated @staticmethod def getRelatedTableFromFeatureClass(inputFeatureClassName): # given full path of feature class, get a list of table which are related to it # return a list of table names who are related to the input feature class in the current file geodatabase lastIndexOFGDB = inputFeatureClassName.rfind("\\") featureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] workspace = inputFeatureClassName[:lastIndexOFGDB] # arcpy.AddMessage("featureClassName: {0}".format(featureClassName)) # arcpy.AddMessage("tableName: {0}".format(tableName)) relatedTableList = [] if workspace.endswith(".gdb"): for c in arcpy.Describe(workspace).children: # arcpy.AddMessage("c: ".format(c)) if c.datatype == "RelationshipClass": rc_path = workspace + "\\" + c.name # arcpy.AddMessage("rc_path: {0}".format(rc_path)) des_rc = arcpy.Describe(rc_path) origin = des_rc.originClassNames # arcpy.AddMessage("origin: {0}".format(origin[0])) if origin[0] == featureClassName: destination = des_rc.destinationClassNames relatedTableList.append(workspace + "\\" + destination[0]) arcpy.AddMessage("relatedTableList: {0}".format(relatedTableList)) return relatedTableList @staticmethod def getRelationshipClassFromFeatureClass(inputFeatureClassName): # given full path of feature class, get a list of relationship class which are related to it # return a list of relationship class name whose origin is the input feature class in the current file geodatabase lastIndexOFGDB = inputFeatureClassName.rfind("\\") featureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] workspace = inputFeatureClassName[:lastIndexOFGDB] # arcpy.AddMessage("featureClassName: {0}".format(featureClassName)) # arcpy.AddMessage("tableName: {0}".format(tableName)) relatedRelationshipClassList = [] if workspace.endswith(".gdb"): for c in arcpy.Describe(workspace).children: # arcpy.AddMessage("c: ".format(c)) if c.datatype == "RelationshipClass": rc_path = workspace + "\\" + c.name # arcpy.AddMessage("rc_path: {0}".format(rc_path)) des_rc = arcpy.Describe(rc_path) origin = des_rc.originClassNames # arcpy.AddMessage("origin: {0}".format(origin[0])) if origin[0] == featureClassName: destination = des_rc.destinationClassNames relatedRelationshipClassList.append(rc_path) arcpy.AddMessage("relatedRelationshipClassList from Feature Class: {0}".format(relatedRelationshipClassList)) return relatedRelationshipClassList @staticmethod def getRelationshipClassFromTable(inputTableName): # given full path of table, get a list of relationship class which are related to it # return a list of relationship class name whose destination is the table in the current file geodatabase lastIndexOFGDB = inputTableName.rfind("\\") tableName = inputTableName[(lastIndexOFGDB+1):] workspace = inputTableName[:lastIndexOFGDB] # arcpy.AddMessage("featureClassName: {0}".format(featureClassName)) # arcpy.AddMessage("tableName: {0}".format(tableName)) relatedRelationshipClassList = [] if workspace.endswith(".gdb"): for c in arcpy.Describe(workspace).children: # arcpy.AddMessage("c: ".format(c)) if c.datatype == "RelationshipClass": rc_path = workspace + "\\" + c.name # arcpy.AddMessage("rc_path: {0}".format(rc_path)) des_rc = arcpy.Describe(rc_path) destination = des_rc.destinationClassNames # arcpy.AddMessage("origin: {0}".format(origin[0])) if destination[0] == tableName: origin = des_rc.originClassNames relatedRelationshipClassList.append(rc_path) arcpy.AddMessage("relatedRelationshipClassList from Feature Class: {0}".format(relatedRelationshipClassList)) return relatedRelationshipClassList class Json2Field(object): @staticmethod def creatPlaceFeatureClassFromJSON(jsonBindingObject, endFeatureClassName, selectedURL, inPlaceType): # After querying the information of location entities, we get the information and create a feature class from them arcpy.AddMessage("jsonBindingObject: {0}".format(jsonBindingObject)) # a set of unique Coordinates for each found places placeIRISet = Set() placeList = [] for item in jsonBindingObject: print "%s\t%s\t%s" % ( item["place"]["value"], item["placeLabel"]["value"], item["location"]["value"]) # arcpy.AddMessage("endFeatureClass: {0}\t{1}\t{2}".format(item["place"]["value"], item["placeLabel"]["value"],item["location"]["value"])) if len(placeIRISet) == 0 or item["place"]["value"] not in placeIRISet: placeIRISet.add(item["place"]["value"]) coordItem = item["location"]["value"] coordList = re.split("[( )]", coordItem) itemlat = coordList[2] itemlng = coordList[1] placeList.append([item["place"]["value"], item["placeLabel"]["value"], itemlat, itemlng]) if len(placeList) == 0: arcpy.AddMessage("No location information can be finded!") else: # Spatial reference set to GCS_WGS_1984 spatial_reference = arcpy.SpatialReference(4326) # creat a Point feature class in arcpy pt = arcpy.Point() ptGeoms = [] for p in placeList: pt.X = float(p[3]) pt.Y = float(p[2]) pointGeometry = arcpy.PointGeometry(pt, spatial_reference) ptGeoms.append(pointGeometry) arcpy.AddMessage("ptGeoms: {0}".format(ptGeoms)) arcpy.AddMessage("endFeatureClassName: {0}".format(endFeatureClassName)) if endFeatureClassName == None: arcpy.AddMessage("No data will be added to the map document.") else: # create a geometry Feature class to represent endFeatureClass = arcpy.CopyFeatures_management(ptGeoms, endFeatureClassName) # add field to this point feature class arcpy.AddField_management(endFeatureClass, "Label", "TEXT", field_length=50) arcpy.AddField_management(endFeatureClass, "URL", "TEXT", field_length=50) # arcpy.AddField_management(placeNearFeatureClass, "TypeURL", "TEXT", field_length=50) # arcpy.AddField_management(placeNearFeatureClass, "TypeName", "TEXT", field_length=50) if selectedURL != None: arcpy.AddField_management(placeNearFeatureClass, "BTypeURL", "TEXT", field_length=50) arcpy.AddField_management(placeNearFeatureClass, "BTypeName", "TEXT", field_length=50) # arcpy.AddField_management(placeNearFeatureClass, "Latitude", "TEXT", 10, 10) # arcpy.AddField_management(placeNearFeatureClass, "Longitude", "TEXT", 10, 10) arcpy.AddXY_management(endFeatureClass) # add label, latitude, longitude value to this point feature class i = 0 cursor = arcpy.UpdateCursor(endFeatureClassName) row = cursor.next() while row: row.setValue("Label", placeList[i][1]) row.setValue("URL", placeList[i][0]) # row.setValue("TypeURL", placeList[i][5]) # row.setValue("TypeName", placeList[i][6]) cursor.updateRow(row) i = i + 1 row = cursor.next() if selectedURL != None: i = 0 cursor = arcpy.UpdateCursor(endFeatureClassName) row = cursor.next() while row: row.setValue("BTypeURL", selectedURL) row.setValue("BTypeName", inPlaceType) cursor.updateRow(row) i = i + 1 row = cursor.next() mxd = arcpy.mapping.MapDocument("CURRENT") # get the data frame df = arcpy.mapping.ListDataFrames(mxd)[0] # create a new layer endFeatureClassLayer = arcpy.mapping.Layer(endFeatureClassName) # add the layer to the map at the bottom of the TOC in data frame 0 arcpy.mapping.AddLayer(df, endFeatureClassLayer, "BOTTOM") @staticmethod def createLocationLinkageMappingTableFromJSON(jsonBindingObject, originField, endField, originFeatureClassName, endFeatureClassName, locationCommonPropertyURL, locationCommonPropertyName, relationDegree): # After a sparql query to find the linked location entities by a specific location commom property, we create a sperate table to install the linkage information from the originFeatureClassName to endFeatureClassName # jsonBindingObject: the SPARQl query JSOn result contains the linkage information # originField: the Field name and the variable name which represent the original location features # originFeatureClassName: the full path of the original feature class # endFeatureClassName: the full path of the end feature class # endField: the Field name and the variable name which represent the end location features # locationCommonPropertyURL: a specific location commom property which linked the originFeatureClassName to endFeatureClassName # locationCommonPropertyName: the lable of this location commom property, like the label of wd:P17 -> wdt:P17 # relationDegree: the degree of relation between origin and end locations lastIndexOFGDB = originFeatureClassName.rfind("\\") originLocation = originFeatureClassName[:lastIndexOFGDB] originName = originFeatureClassName[(lastIndexOFGDB+1):] lastIndexOFGDB = endFeatureClassName.rfind("\\") endLocation = endFeatureClassName[:lastIndexOFGDB] endName = endFeatureClassName[(lastIndexOFGDB+1):] # currentValuePropertyName = UTIL.getPropertyName(valuePropertyURL) if originLocation.endswith(".gdb") == False or originLocation != endLocation: return -1 else: outputLocation = originLocation PropertyName = locationCommonPropertyName.replace(" ", "_") tableName = originName + "_" + endName + "_" + "D"+ str(relationDegree) + "_" + PropertyName tablePath = Json2Field.getNoExistTableNameInWorkspace(outputLocation, tableName) lastIndexOftableName = tablePath.rfind("\\") tableName = tablePath[(lastIndexOftableName+1):] arcpy.AddMessage("outputLocation: {0}".format(outputLocation)) arcpy.AddMessage("tableName: {0}".format(tableName)) # create a table in current workspace locationLinkageTable = arcpy.CreateTable_management(outputLocation, tableName) arcpy.AddField_management(locationLinkageTable, originField, "TEXT", field_length=50) arcpy.AddField_management(locationLinkageTable, endField, "TEXT", field_length=50) arcpy.AddField_management(locationLinkageTable, "propURL", "TEXT", field_length=len(locationCommonPropertyURL)) arcpy.AddField_management(locationLinkageTable, "propName", "TEXT", field_length=len(locationCommonPropertyName)) arcpy.AddField_management(locationLinkageTable, "reDegree", "LONG") # Create insert cursor for table rows = arcpy.InsertCursor(locationLinkageTable) for jsonItem in jsonBindingObject: row = rows.newRow() row.setValue(originField, jsonItem[originField]["value"]) row.setValue(endField, jsonItem[endField]["value"]) row.setValue("propURL", locationCommonPropertyURL) row.setValue("propName", locationCommonPropertyName) row.setValue("reDegree", relationDegree) rows.insertRow(row) # Delete cursor and row objects to remove locks on the data # del row # del rows return tableName @staticmethod def getNoExistTableNameInWorkspace(outputLocation, tableName): # given a table name and a worksapce, we what to see whether this table alreay exists in this workspace, if it does, change the table name until it does not exist tablePath = outputLocation + "\\" + tableName if tablePath.endswith(".dbf"): if arcpy.Exists(tablePath): i = 1 lastIndex = tablePath.rfind(".") tablePath = tablePath[:lastIndex] tablePath += "_" + str(i) + ".dbf" while arcpy.Exists(tablePath): i = i + 1 lastIndex = tablePath.rfind("_") tablePath = tablePath[:lastIndex] tablePath += "_" + str(i) + ".dbf" else: if arcpy.Exists(tablePath): i = 1 tablePath += "_" + str(i) while arcpy.Exists(tablePath): i = i + 1 lastIndex = tablePath.rfind("_") tablePath = tablePath[:lastIndex] tablePath += "_" + str(i) return tablePath @staticmethod def createMappingTableFromJSON(jsonBindingObject, keyPropertyName, valuePropertyName, valuePropertyURL, inputFeatureClassName, keyPropertyFieldName, isInverse, isSubDivisionTable): # according to jsonBindingObject, create a sperate table to store the nofunctional property-value pairs # OR store the transtive "isPartOf" relationship between location and its subDivision # return the name of the table without the full path # isInverse: Boolean variable indicates whether the value we get is the subject value or object value of valuePropertyURL # isSubDivisionTable: Boolean variable indicates whether the current table store the value of subdivision for the original location lastIndexOFGDB = inputFeatureClassName.rfind("\\") outputLocation = inputFeatureClassName[:lastIndexOFGDB] lastIndexOFFeatureClassName = inputFeatureClassName.rfind("\\") featureClassName = inputFeatureClassName[(lastIndexOFGDB+1):] currentValuePropertyName = UTIL.getPropertyName(valuePropertyURL) if isInverse == True: currentValuePropertyName = "is_" + currentValuePropertyName + "_Of" if isSubDivisionTable == True: currentValuePropertyName = "subDivisionIRI" if outputLocation.endswith(".gdb"): tableName = featureClassName + "_" + keyPropertyFieldName + "_" + currentValuePropertyName # propertyTable = arcpy.CreateTable_management(outputLocation, "wikiURL_"+currentValuePropertyName) else: lastIndexOFshp = featureClassName.rfind(".") featureClassName = featureClassName[:lastIndexOFshp] tableName = featureClassName + "_" + keyPropertyFieldName + "_" + currentValuePropertyName+".dbf" # propertyTable = arcpy.CreateTable_management(outputLocation, "wikiURL_"+currentValuePropertyName+".dbf") tablePath = Json2Field.getNoExistTableNameInWorkspace(outputLocation, tableName) lastIndexOftableName = tablePath.rfind("\\") tableName = tablePath[(lastIndexOftableName+1):] # create a table in current workspace propertyTable = arcpy.CreateTable_management(outputLocation, tableName) keyPropertyFieldLength = Json2Field.fieldLengthDecide(jsonBindingObject, keyPropertyName) arcpy.AddField_management(propertyTable, keyPropertyFieldName, "TEXT", field_length=keyPropertyFieldLength) # if len(currentValuePropertyName) > 10: # currentValuePropertyName = currentValuePropertyName[:9] valuePropertyFieldType = Json2Field.fieldDataTypeDecide(jsonBindingObject, valuePropertyName) arcpy.AddMessage("valuePropertyURL: {0}".format(valuePropertyURL)) arcpy.AddMessage("valuePropertyFieldType: {0}".format(valuePropertyFieldType)) if valuePropertyFieldType == "TEXT": valuePropertyFieldLength = Json2Field.fieldLengthDecide(jsonBindingObject, valuePropertyName) arcpy.AddMessage("valuePropertyFieldLength: {0}".format(valuePropertyFieldLength)) arcpy.AddField_management(propertyTable, currentValuePropertyName, valuePropertyFieldType, field_length=valuePropertyFieldLength) else: arcpy.AddField_management(propertyTable, currentValuePropertyName, valuePropertyFieldType) # arcpy.AddField_management(propertyTable, "propURL", "TEXT", field_length=len(valuePropertyURL)) PropertyValue = namedtuple("PropertyValue", ["key", "value"]) propertyValueSet = Set() for jsonItem in jsonBindingObject: pair = PropertyValue(key=jsonItem[keyPropertyName]["value"], value=jsonItem[valuePropertyName]["value"]) propertyValueSet.add(pair) propertyValueList = list(propertyValueSet) # Create insert cursor for table rows = arcpy.InsertCursor(propertyTable) for pair in propertyValueList: row = rows.newRow() row.setValue(keyPropertyFieldName, pair.key) row.setValue(currentValuePropertyName, pair.value) # row.setValue("propURL", valuePropertyURL) rows.insertRow(row) # for jsonItem in jsonBindingObject: # row = rows.newRow() # row.setValue("wikiURL", jsonItem[keyPropertyName]["value"]) # row.setValue(currentValuePropertyName, jsonItem[valuePropertyName]["value"]) # # row.setValue("propURL", valuePropertyURL) # rows.insertRow(row) # Delete cursor and row objects to remove locks on the data del row del rows return tableName @staticmethod def buildDictFromJSONToModifyTable(jsonBindingObject, keyPropertyName, valuePropertyName): valuePropertyList = [] keyPropertyList = [] for jsonItem in jsonBindingObject: valuePropertyList.append(jsonItem[valuePropertyName]["value"]) keyPropertyList.append(jsonItem[keyPropertyName]["value"]) keyValueDict = dict(zip(keyPropertyList, valuePropertyList)) arcpy.AddMessage("keyValueDict: {0}".format(keyValueDict)) return keyValueDict @staticmethod def buildDictFromJSONToModifyMultiKeyTable(jsonBindingObject, keyPropertyNameList, valuePropertyName): # create a dict() object. Use multiple value as keys # jsonBindingObject: the json object from sparql query which contains the mapping from keyProperty to valueProperty, ex. functionalPropertyJSON # keyPropertyNameList: a list of the names of keyProperty in JSON object, ex. wikidataSub, s # valuePropertyName: the name of valueProperty in JSON object, ex. o MultiKey = namedtuple("MultiKey", keyPropertyNameList) keyValueDict = dict() for jsonItem in jsonBindingObject: MultiKeyValueList = [] i = 0 while i < len(keyPropertyNameList): MultiKeyValueList.append(jsonItem[keyPropertyNameList[i]]["value"]) i = i + 1 currentMultiKey = MultiKey._make(MultiKeyValueList) keyValueDict[currentMultiKey] = jsonItem[valuePropertyName]["value"] arcpy.AddMessage("keyValueDict: {0}".format(keyValueDict)) return keyValueDict @staticmethod def addFieldInTableByMapping(jsonBindingObject, keyPropertyName, valuePropertyName, inputFeatureClassName, keyPropertyFieldName, valuePropertyURL, isInverse): # according to the json object from sparql query which contains the mapping from keyProperty to valueProperty, add field in the Table # change the field name if there is already a field which has the same name in table # jsonBindingObject: the json object from sparql query which contains the mapping from keyProperty to valueProperty, ex. functionalPropertyJSON # keyPropertyName: the name of keyProperty in JSON object, ex. wikidataSub # valuePropertyName: the name of valueProperty in JSON object, ex. o # keyPropertyFieldName: the name of the field which stores the value of keyProperty, ex. URL # valuePropertyURL: the URL of valueProperty, we use it to get the field name of valueProperty, ex. functionalProperty # isInverse: Boolean variable indicates whether the value we get is the subject value or object value of valuePropertyURL keyValueDict = Json2Field.buildDictFromJSONToModifyTable(jsonBindingObject, keyPropertyName, valuePropertyName) currentValuePropertyName = UTIL.getPropertyName(valuePropertyURL) if isInverse == True: currentFieldName = "is_" + currentFieldName + "_Of" currentFieldName = UTIL.getFieldNameWithTable(currentValuePropertyName, inputFeatureClassName) arcpy.AddMessage("currentFieldName: {0}".format(currentFieldName)) if currentFieldName == -1: messages.addWarningMessage("The table of current feature class has more than 10 fields for property name {0}.".format(currentValuePropertyName)) else: # add one field for each functional property in input feature class fieldType = Json2Field.fieldDataTypeDecide(jsonBindingObject, valuePropertyName) arcpy.AddMessage("fieldType: {0}".format(fieldType)) if fieldType == "TEXT": fieldLength = Json2Field.fieldLengthDecide(jsonBindingObject, valuePropertyName) arcpy.AddMessage("fieldLength: {0}".format(fieldLength)) arcpy.AddField_management(inputFeatureClassName, currentFieldName, fieldType, field_length=fieldLength) else: arcpy.AddField_management(inputFeatureClassName, currentFieldName, fieldType) # cursor = arcpy.da.UpdateCursor(inputFeatureClassName, [keyPropertyFieldName, currentFieldName]) cursor = arcpy.UpdateCursor(inputFeatureClassName) for row in cursor: # currentKeyPropertyValue = row[0] currentKeyPropertyValue = row.getValue(keyPropertyFieldName) if currentKeyPropertyValue in keyValueDict: propertyValue = Json2Field.dataTypeCast(keyValueDict[currentKeyPropertyValue], fieldType) # row[1] = propertyValue row.setValue(currentFieldName, propertyValue) cursor.updateRow(row) @staticmethod def addFieldInMultiKeyTableByMapping(jsonBindingObject, keyPropertyNameList, valuePropertyName, inputFeatureClassName, keyPropertyFieldNameList, valuePropertyURL, isInverse): # this function deals with a table with multiple fields as its candidate keys # according to the json object from sparql query which contains the mapping from multiple keyProperty to valueProperty, add field in the Table # change the field name if there is already a field which has the same name in table # jsonBindingObject: the json object from sparql query which contains the mapping from keyProperty to valueProperty, ex. functionalPropertyJSON # keyPropertyNameList: a list of the names of keyProperty in JSON object, ex. wikidataSub, s # valuePropertyName: the name of valueProperty in JSON object, ex. o # keyPropertyFieldNameList: a list of the names of the fields which stores the value of keyProperty, ex. wikiURL, subDivisionIRI # valuePropertyURL: the URL of valueProperty, we use it to get the field name of valueProperty, ex. functionalProperty # isInverse: Boolean variable indicates whether the value we get is the subject value or object value of valuePropertyURL MultiKey = namedtuple("MultiKey", keyPropertyNameList) keyValueDict = Json2Field.buildDictFromJSONToModifyMultiKeyTable(jsonBindingObject, keyPropertyNameList, valuePropertyName) currentValuePropertyName = UTIL.getPropertyName(valuePropertyURL) if isInverse == True: currentFieldName = "is_" + currentFieldName + "_Of" currentFieldName = UTIL.getFieldNameWithTable(currentValuePropertyName, inputFeatureClassName) arcpy.AddMessage("currentFieldName: {0}".format(currentFieldName)) if currentFieldName == -1: messages.addWarningMessage("The table of current feature class has more than 10 fields for property name {0}.".format(currentValuePropertyName)) else: # add one field for each functional property in input feature class fieldType = Json2Field.fieldDataTypeDecide(jsonBindingObject, valuePropertyName) arcpy.AddMessage("fieldType: {0}".format(fieldType)) if fieldType == "TEXT": fieldLength = Json2Field.fieldLengthDecide(jsonBindingObject, valuePropertyName) arcpy.AddMessage("fieldLength: {0}".format(fieldLength)) arcpy.AddField_management(inputFeatureClassName, currentFieldName, fieldType, field_length=fieldLength) else: arcpy.AddField_management(inputFeatureClassName, currentFieldName, fieldType) # cursor = arcpy.da.UpdateCursor(inputFeatureClassName, [keyPropertyFieldName, currentFieldName]) cursor = arcpy.UpdateCursor(inputFeatureClassName) for row in cursor: # currentKeyPropertyValue = row[0] MultiKeyValueList = [] i = 0 while i < len(keyPropertyFieldNameList): MultiKeyValueList.append(row.getValue(keyPropertyFieldNameList[i])) i = i + 1 currentMultiKey = MultiKey._make(MultiKeyValueList) # currentKeyPropertyValue = row.getValue(keyPropertyFieldName) if currentMultiKey in keyValueDict: propertyValue = Json2Field.dataTypeCast(keyValueDict[currentMultiKey], fieldType) # row[1] = propertyValue row.setValue(currentFieldName, propertyValue) cursor.updateRow(row) @staticmethod def addOrUpdateFieldInTableByMapping(jsonBindingObject, keyPropertyName, valuePropertyName, inputFeatureClassName, keyPropertyFieldName, valuePropertyFieldName): # according to the json object from sparql query which contains the mapping from keyProperty to valueProperty, add or update field(if the valueProperty Field already exist in table) in the Table # jsonBindingObject: the json object from sparql query which contains the mapping from keyProperty to valueProperty, ex. wikidataIRI -> DBpediaIRI, dbpediaIRIJSON # keyPropertyName: the name of keyProperty in JSON object, ex. wikidataSub # valuePropertyName: the name of valueProperty in JSON object, ex. DBpediaSub # keyPropertyFieldName: the name of the field which stores the value of keyProperty, ex. URL # valuePropertyFieldName: the name of the field which stores the value of valueProperty (its length should be less or equal to 10), ex. DBpediaURL # build a wikidata IRI to DBpedia IRI dictionary # keyValueDict = Json2Field.buildDictFromJSONToModifyTable(jsonBindingObject, keyPropertyName, valuePropertyName) isURLinFieldList = UTIL.isFieldNameInTable(valuePropertyName, inputFeatureClassName) fieldType = Json2Field.fieldDataTypeDecide(jsonBindingObject, valuePropertyName) arcpy.AddMessage("fieldType: {0}".format(fieldType)) if isURLinFieldList == False: # add one field valuePropertyName, ex. "DBpediaIRI", in input feature class if fieldType == "TEXT": fieldLength = Json2Field.fieldLengthDecide(jsonBindingObject, valuePropertyName) arcpy.AddMessage("fieldLength: {0}".format(fieldLength)) arcpy.AddField_management(inputFeatureClassName, valuePropertyFieldName, fieldType, field_length=fieldLength) else: arcpy.AddField_management(inputFeatureClassName, valuePropertyFieldName, fieldType) else: if fieldType == "TEXT": fieldLength = Json2Field.fieldLengthDecide(jsonBindingObject, valuePropertyName) fieldList = arcpy.ListFields(inputFeatureClassName) for field in fieldList: if field.name == valuePropertyFieldName: if fieldLength > field.length: field.length = fieldLength break # cursor = arcpy.da.UpdateCursor(inputFeatureClassName, [keyPropertyFieldName, valuePropertyFieldName]) cursor = arcpy.UpdateCursor(inputFeatureClassName) for row in cursor: # currentKeyPropertyValue = row[0] currentKeyPropertyValue = row.getValue(keyPropertyFieldName) if currentKeyPropertyValue in keyValueDict: currentValuePropertyValue = keyValueDict[currentKeyPropertyValue] # row[1] = currentValuePropertyValue row.setValue(valuePropertyFieldName, currentValuePropertyValue) cursor.updateRow(row) @staticmethod def fieldLengthDecide(jsonBindingObject, fieldName): # This option is only applicable on fields of type text or blob fieldType = Json2Field.fieldDataTypeDecide(jsonBindingObject, fieldName) if fieldType != "TEXT": # you do not need field length return -1 else: maxLength = 30 for jsonItem in jsonBindingObject: textLength = len(jsonItem[fieldName]["value"]) if textLength > maxLength: maxLength = textLength return maxLength @staticmethod def fieldDataTypeDecide(jsonBindingObject, fieldName): # jsonBindingObject: a list object which is jsonObject.json()["results"]["bindings"] # fieldName: the name of the property/field in the JSON object thet what to evaluate # return the Field data type given a JSONItem for one property, return -1 if the field is about geometry and bnode dataTypeSet = Set() for jsonItem in jsonBindingObject: dataTypeSet.add(Json2Field.getLinkedDataType(jsonItem, fieldName)) dataTypeList = list(dataTypeSet) dataTypeCountDict = dict(zip(dataTypeList, [0]*len(dataTypeList))) for jsonItem in jsonBindingObject: dataTypeCountDict[Json2Field.getLinkedDataType(jsonItem, fieldName)] += 1 dataTypeCountOrderDict = OrderedDict(sorted(dataTypeCountDict.items(), key=lambda t: t[1])) majorityDataType = next(reversed(dataTypeCountOrderDict)) majorityFieldDataType = Json2Field.urlDataType2FieldDataType(majorityDataType) arcpy.AddMessage("majorityFieldDataType: {0}".format(majorityFieldDataType)) return majorityFieldDataType @staticmethod def urlDataType2FieldDataType(urlDataType): # urlDataType: url string date geometry int double float bnode # get a data type of Linked Data Literal (see getLinkedDataType), return a data type for field in arcgis Table View if urlDataType == "uri": return "TEXT" elif urlDataType == "string": return "TEXT" elif urlDataType == "date": return "DATE" elif urlDataType == "geometry": return -1 elif urlDataType == "int": return "LONG" elif urlDataType == "double": return "DOUBLE" elif urlDataType == "float": return "FLOAT" elif urlDataType == "bnode": return -1 else: return "TEXT" @staticmethod def getLinkedDataType(jsonBindingObjectItem, propertyName): # according the the property name of this jsonBindingObjectItem, return the meaningful dataType rdfDataType = jsonBindingObjectItem[propertyName]["type"] if rdfDataType == "uri": return "uri" elif "literal" in rdfDataType: if "datatype" not in jsonBindingObjectItem[propertyName]: return "string" else: specifiedDataType = jsonBindingObjectItem[propertyName]["datatype"] if specifiedDataType == "http://www.w3.org/2001/XMLSchema#date": return "date" elif specifiedDataType == "http://www.openlinksw.com/schemas/virtrdf#Geometry": return "geometry" elif specifiedDataType == "http://www.w3.org/2001/XMLSchema#integer" or specifiedDataType == "http://www.w3.org/2001/XMLSchema#nonNegativeInteger": return "int" elif specifiedDataType == "http://www.w3.org/2001/XMLSchema#double": return "double" elif specifiedDataType == "http://www.w3.org/2001/XMLSchema#float": return "float" else: return "string" elif rdfDataType == "bnode": return "bnode" else: return "string" @staticmethod def dataTypeCast(fieldValue, fieldDataType): # according to the field data type, cast the data into corresponding data type if fieldDataType == "TEXT": return fieldValue elif fieldDataType == "DATE": return fieldValue elif fieldDataType == "LONG": return int(fieldValue) elif fieldDataType == "DOUBLE": return Decimal(fieldValue) elif fieldDataType == "FLOAT": return float(fieldValue)

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269

0.708595

20,864

225,425

7.570648

0.056748

0.011301

0.006293

0.005166

0.693582

0.666086

0.631431

0.595768

0.571977

0.553332

0

0.010322

0.185139

225,425

5,191

270

43.426122

0.849573

0.293534

0

0.584185

0

0.011247

0.18592

0.00846

0.000341

0

null

0

0.005112

null

0.00409

0

null

0

null

0

1

0

1

2d3598ee4e5aabfea09ea77913d15276ad388685

4,904

py

Python

neural_seq/utils.py

Dragon-hxl/LARC

c9f13f110a56aa2ecf837e464745375d9521409e

[ "MIT" ]

null

neural_seq/utils.py

Dragon-hxl/LARC

c9f13f110a56aa2ecf837e464745375d9521409e

[ "MIT" ]

null

neural_seq/utils.py

Dragon-hxl/LARC

c9f13f110a56aa2ecf837e464745375d9521409e

[ "MIT" ]

null

import argparse def commandLineArgs(): parser = argparse.ArgumentParser(description='Process some integers.') parser.add_argument("--restrict-types", dest="restrict_types", default=False, action="store_true") parser.add_argument("--test", dest="test", default=False, help="True if we want to just test an existing model", action="store_true") parser.add_argument("--limit-overfit", dest="limit_overfit", default=False, action="store_true") parser.add_argument("--use-cuda", dest="use_cuda", default=False, action="store_true") parser.add_argument("--verbose", dest="verbose", default=False, action="store_true") parser.add_argument("--rnn-decode", dest="rnn_decode", default=False, action="store_true") parser.add_argument("--batch-size", dest="batch_size", default=32, type=int) parser.add_argument("--lr", dest="lr", default=0.001, type=float) parser.add_argument("--weight-decay", dest="weight_decay", default=0.0, type=float) parser.add_argument("--beta", dest="beta", default=0.0, type=float) parser.add_argument("--epochs-per-replay", dest="epochs_per_replay", default=0, type=int) parser.add_argument("--beam-width", dest="beam_width", default=128, type=int) parser.add_argument("--epsilon", dest="epsilon", default=0.3, type=float) parser.add_argument("--num-cpus", dest="num_cpus", default=1, type=int) parser.add_argument("--num-cycles", dest="num_cycles", default=1, type=int) parser.add_argument("--max-p-per-task", dest="max_p_per_task", # something >> number of distinct programs per tasks default=1000000, type=int) parser.add_argument("--seed", dest="seed", default=0, type=int) parser.add_argument("--jumpstart", dest="jumpstart", default=False, help="Whether to jumpstart by training on set of ground truth programs first", action="store_true") parser.add_argument("--num-iter-beam-search", dest="num_iter_beam_search", default=1, type=int) parser.add_argument("--num-epochs-start", dest="num_epochs_start", default=1, type=int) parser.add_argument("--resume-iter", dest="resume_iter", default=0, type=int) parser.add_argument("--test-decode-time", dest="test_decode_time", default=0, type=int) parser.add_argument("--fixed-epoch-pretrain", dest="fixed_epoch_pretrain", default=0, type=int) parser.add_argument("--preload-frontiers", dest="preload_frontiers", default=None, type=str) parser.add_argument("--resume", dest="resume", default=None, type=str) parser.add_argument("--no-nl", dest="no_nl", default=False, help="Whether to condition on natural language description i.e. use NL as input to encoder", action="store_true") parser.add_argument("--no-io", dest="no_io", default=False, help="Whether to use IO as input to encoder", action="store_true") args = vars(parser.parse_args()) return args

40.866667

116

0.418434

411

4,904

4.836983

0.262774

0.122233

0.230885

0.096579

0.501006

0.400905

0.360161

0.181087

0

0.012186

0.48124

4,904

119

117

41.210084

0.769261

0.010196

0

0.418803

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0

1

0.008547

false

0

0.008547

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0.025641

0

null

0

1

0

null

0

1

2d359bca45bc6e6f2073a2891a9bc99f4d08e0df

7,168

py

Python

pypillometry/fakedata.py

wsojka00/pypillometry

6c2258f1df2a435e6474ce33ebc46ce595d3d25e

[ "MIT" ]

13

2020-07-01T02:00:23.000Z

2021-11-18T22:49:54.000Z

pypillometry/fakedata.py

wsojka00/pypillometry

6c2258f1df2a435e6474ce33ebc46ce595d3d25e

[ "MIT" ]

17

2020-06-24T10:26:09.000Z

2022-01-27T13:36:10.000Z

pypillometry/fakedata.py

wsojka00/pypillometry

6c2258f1df2a435e6474ce33ebc46ce595d3d25e

[ "MIT" ]

5

2020-06-30T20:03:36.000Z

2022-01-27T13:22:34.000Z

""" fakedata.py ==================================== Generate artificial pupil-data. """ import numpy as np import scipy.stats as stats from .baseline import * from .pupil import * def generate_pupil_data(event_onsets, fs=1000, pad=5000, baseline_lowpass=0.2, evoked_response_perc=0.02, response_fluct_sd=1, prf_npar=(10.35,0), prf_tmax=(917.0,0), prop_spurious_events=0.2, noise_amp=0.0005): """ Generate artificial pupil data as a sum of slow baseline-fluctuations on which event-evoked responses are "riding". Parameters ----------- event_onsets: list list of all events that evoke a response (in seconds) fs: float sampling rate in Hz pad: float append `pad` milliseconds of signal after the last event is decayed baseline_lowpass: float cutoff for the lowpass-filter that defines the baseline (highest allowed frequency in the baseline fluctuations) evoked_response_perc: float amplitude of the pupil-response as proportion of the baseline response_fluct_sd: float How much do the amplitudes of the individual events fluctuate? This is determined by drawing each individual pupil-response to a single event from a (positive) normal distribution with mean as determined by `evoked_response_perc` and sd `response_fluct_sd` (in units of `evoked_response_perc`). prf_npar: tuple (float,float) (mean,std) of the npar parameter from :py:func:`pypillometry.pupil.pupil_kernel()`. If the std is exactly zero, then the mean is used for all pupil-responses. If the std is positive, npar is taken i.i.d. from ~ normal(mean,std) for each event. prf_tmax: tuple (float,float) (mean,std) of the tmax parameter from :py:func:`pypillometry.pupil.pupil_kernel()`. If the std is exactly zero, then the mean is used for all pupil-responses. If the std is positive, tmax is taken i.i.d. from ~ normal(mean,std) for each event. prop_spurious_events: float Add random events to the pupil signal. `prop_spurious_events` is expressed as proportion of the number of real events. noise_amp: float Amplitude of random gaussian noise that sits on top of the simulated signal. Expressed in units of mean baseline pupil diameter. Returns -------- tx, sy: np.array time and simulated pupil-dilation (n) x0: np.array baseline (n) delta_weights: np.array pupil-response strengths (len(event_onsets)) """ nevents=len(event_onsets) ## npar if prf_npar[1]==0: # deterministic parameter npars=np.ones(nevents)*prf_npar[0] else: npars=np.random.randn(nevents)*prf_npar[1]+prf_npar[0] ## tmax if prf_tmax[1]==0: # deterministic parameter tmaxs=np.ones(nevents)*prf_tmax[0] else: tmaxs=np.random.randn(nevents)*prf_tmax[1]+prf_tmax[0] if np.any(npars<=0): raise ValueError("npar must be >0") if np.any(tmaxs<=0): raise ValueError("tmax must be >0") # get maximum duration of one of the PRFs maxdur=pupil_get_max_duration(npars.min(), tmaxs.max()) T=np.array(event_onsets).max()+maxdur+pad # stop pad millisec after last event n=int(np.ceil(T/1000.*fs)) # number of sampling points sy=np.zeros(n) # pupil diameter tx=np.linspace(0,T,n) # time-vector in milliseconds # create baseline-signal slack=int(0.50*n) # add slack to avoid edge effects of the filter x0=butter_lowpass_filter(np.random.rand(n+slack), baseline_lowpass, fs, 2)[slack:(n+slack)] x0=x0*1000+5000 # scale it up to a scale as usually obtained from eyetracker ### real events regressor ## scaling event_ix=(np.array(event_onsets)/1000.*fs).astype(np.int) #a, b = (myclip_a - my_mean) / my_std, (myclip_b - my_mean) / my_std delta_weights=stats.truncnorm.rvs(-1/response_fluct_sd,np.inf, loc=1, scale=response_fluct_sd, size=event_ix.size) x1=np.zeros_like(sy) for i,ev in enumerate(event_onsets): # create kernel and delta-functions for events kernel=pupil_kernel(duration=maxdur,fs=fs,npar=npars[i], tmax=tmaxs[i]) x1[event_ix[i]:(event_ix[i]+kernel.size)]=x1[event_ix[i]:(event_ix[i]+kernel.size)]+kernel*delta_weights[i] ## spurious events regressor sp_event_ix=np.random.randint(low=0,high=np.ceil((T-maxdur-pad)/1000.*fs),size=int( nevents*prop_spurious_events )) sp_events=tx[ sp_event_ix ] n_sp_events=sp_events.size ## npar if prf_npar[1]==0: # deterministic parameter npars=np.ones(n_sp_events)*prf_npar[0] else: npars=np.random.randn(n_sp_events)*prf_npar[1]+prf_npar[0] ## tmax if prf_tmax[1]==0: # deterministic parameter tmaxs=np.ones(n_sp_events)*prf_tmax[0] else: tmaxs=np.random.randn(n_sp_events)*prf_tmax[1]+prf_tmax[0] ## scaling sp_delta_weights=stats.truncnorm.rvs(-1/response_fluct_sd,np.inf, loc=1, scale=response_fluct_sd, size=sp_event_ix.size) x2=np.zeros_like(sy) for i,ev in enumerate(sp_events): # create kernel and delta-functions for events kernel=pupil_kernel(duration=maxdur,fs=fs,npar=npars[i], tmax=tmaxs[i]) x2[sp_event_ix[i]:(sp_event_ix[i]+kernel.size)]=x2[sp_event_ix[i]:(sp_event_ix[i]+kernel.size)]+kernel*sp_delta_weights[i] amp=np.mean(x0)*evoked_response_perc # mean amplitude for the evoked response noise=noise_amp*np.mean(x0)*np.random.randn(n) sy = x0 + amp*x1 + amp*x2 + noise return (tx,sy,x0,delta_weights) def get_dataset(ntrials=100, isi=2000, rtdist=(1000,500),fs=1000,pad=5000, **kwargs): """ Convenience function to run :py:func:`generate_pupil_data()` with standard parameters. Parameters ----------- ntrials:int number of trials isi: float inter-stimulus interval in milliseconds rtdist: tuple (float,float) mean and std of a (truncated at zero) normal distribution to generate response times fs: float sampling rate pad: float padding before the first and after the last event in seconds kwargs: dict arguments for :py:func:`pypillometry.fakedata.generate_pupil_data()` Returns -------- tx, sy: np.array time and simulated pupil-dilation (n) baseline: np.array baseline (n) event_onsets: np.array timing of the simulated event-onsets (stimuli and responses not separated) response_coef: np.array pupil-response strengths (len(event_onsets)) """ stim_onsets=np.arange(ntrials)*isi+pad rts=stats.truncnorm.rvs( (0-rtdist[0])/rtdist[1], np.inf, loc=rtdist[0], scale=rtdist[1], size=ntrials) resp_onsets=stim_onsets+rts event_onsets=np.concatenate( (stim_onsets, resp_onsets) ) kwargs.update({"fs":fs}) tx,sy,baseline,response_coef=generate_pupil_data(event_onsets, **kwargs) return tx,sy,baseline,event_onsets, response_coef

37.726316

130

0.667411

1,071

7,168

4.331466

0.222222

0.030826

0.013796

0.008623

0.339728

0.324639

0.311921

0.295753

0.251347

0.226342

0

0.022894

0.220006

7,168

189

131

37.925926

0.806832

0.493722

0

0.15873

1

0

0.009855

0

1

0.031746

false

0.031746

0.063492

0

0.126984

0

null

0

1

0

null

0

1

2d373b4ad5acb25372312662f936a4b9444821b2

608

py

Python

Day 5/how_about_a_nice_game_of_chess_1.py

Shunderpooch/AdventOfCode2016

9651c829e2c1906fac82de1ec19e46561543362d

[ "MIT" ]

null

Day 5/how_about_a_nice_game_of_chess_1.py

Shunderpooch/AdventOfCode2016

9651c829e2c1906fac82de1ec19e46561543362d

[ "MIT" ]

null

Day 5/how_about_a_nice_game_of_chess_1.py

Shunderpooch/AdventOfCode2016

9651c829e2c1906fac82de1ec19e46561543362d

[ "MIT" ]

null

""" Arthur Dooner Advent of Code Day 5 Challenge 1 """ import sys import hashlib def md5_func(string): md5result = hashlib.md5() md5result.update(string.encode('utf-8')) return md5result.hexdigest() INTEGER_ID = 0 PASSWORD = "" if len(sys.argv) < 2: print("Please pass the puzzle input as a command line argument.") exit(0) while len(PASSWORD) < 8: temp_md5 = md5_func(sys.argv[1] + str(INTEGER_ID)) if temp_md5[:5] == "00000": print(INTEGER_ID) PASSWORD += temp_md5[5] INTEGER_ID += 1 print("The password for the door is:" + PASSWORD) sys.stdout.flush()

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0

null

0

null

0

1

0

1

2d376984cf7521c9d0b8668970e457c5497e11d2

1,204

py

Python

estudiantes/migrations/0008_auto_20180411_2345.py

jlopez0591/SIGIA

e857e2273daa43ab64fa78df254275af2dbcc2a5

[ "MIT" ]

null

estudiantes/migrations/0008_auto_20180411_2345.py

jlopez0591/SIGIA

e857e2273daa43ab64fa78df254275af2dbcc2a5

[ "MIT" ]

7

2020-02-12T00:42:15.000Z

2022-03-11T23:23:48.000Z

estudiantes/migrations/0008_auto_20180411_2345.py

jlopez0591/SIGIA

e857e2273daa43ab64fa78df254275af2dbcc2a5

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.8 on 2018-04-12 04:45 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('estudiantes', '0007_auto_20180411_2100'), ] operations = [ migrations.AlterField( model_name='trabajograduacion', name='carrera', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='trabajos_graduacion', to='ubicacion.CarreraInstancia'), ), migrations.AlterField( model_name='trabajograduacion', name='escuela', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='trabajos_graduacion', to='ubicacion.EscuelaInstancia'), ), migrations.AlterField( model_name='trabajograduacion', name='facultad', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='trabajos_graduacion', to='ubicacion.FacultadInstancia'), ), ]

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null

0

1

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null

0

1

2d3b855417b5b01166e9c53aefdcacbf633fd636

370

py

Python

PythonExercicios/ex005.py

gabjohann/python_3

380cb622669ed82d6b22fdd09d41f02f1ad50a73

[ "MIT" ]

null

PythonExercicios/ex005.py

gabjohann/python_3

380cb622669ed82d6b22fdd09d41f02f1ad50a73

[ "MIT" ]

null

PythonExercicios/ex005.py

gabjohann/python_3

380cb622669ed82d6b22fdd09d41f02f1ad50a73

[ "MIT" ]

null

# Faça um programa que leia um número inteiro e mostre na tela o seu sucessor e seu antecessor num = int(input('Digite um número inteiro: ')) ant = num - 1 suc = num + 1 print('O sucessor de {} é {} e seu antecessor é {}'.format(num, suc, ant)) # Resolução com somente uma variável: # print('O sucessor de {} é {} e seu antecessor é {}'.format(num, (num+1), (num-1)))

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null

0

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2d3ce3e54e71945a04f010ae135aa8c962618bc4

369

py

Python

modules/audio/settings.py

mlc2307/pyradio

94b3705faea4d019f3f62efb49aa4f502c1a556e

[ "MIT" ]

null

modules/audio/settings.py

mlc2307/pyradio

94b3705faea4d019f3f62efb49aa4f502c1a556e

[ "MIT" ]

null

modules/audio/settings.py

mlc2307/pyradio

94b3705faea4d019f3f62efb49aa4f502c1a556e

[ "MIT" ]

null

""" Default audio settings. """ import numpy as np from modules.socket.settings import PACKAGE_SIZE # Number of sound channels. CHANNELS = 2 # The size of the streaming buffer, that needs to fit into the socket buffer. CHUNK_SIZE = PACKAGE_SIZE // CHANNELS // np.dtype(np.int16).itemsize # Sound device frame rate. In this case, 44.1 KHz. FRAME_RATE = int(44.1e3)

21.705882

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0.4

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null

0

null

0

1

0

1

2d404ddffb52c313e2728aba0594c50a8c449448

2,231

py

Python

parsl/dataflow/states.py

cylondata/parsl

00ff9372bd841dafef8a0b3566c79ffe68f0e367

[ "Apache-2.0" ]

323

2017-07-28T21:31:27.000Z

2022-03-05T13:06:05.000Z

parsl/dataflow/states.py

cylondata/parsl

00ff9372bd841dafef8a0b3566c79ffe68f0e367

[ "Apache-2.0" ]

1,286

2017-06-01T16:50:00.000Z

2022-03-31T16:45:14.000Z

parsl/dataflow/states.py

cylondata/parsl

00ff9372bd841dafef8a0b3566c79ffe68f0e367

[ "Apache-2.0" ]

113

2017-06-03T11:38:40.000Z

2022-03-26T16:43:05.000Z

from enum import IntEnum class States(IntEnum): """Enumerates the states a parsl task may be in. These states occur inside the task record for a task inside a `DataFlowKernel` and in the monitoring database. In a single successful task execution, tasks will progress in this sequence: pending -> launched -> running -> exec_done Other states represent deviations from this path, either due to failures, or to deliberate changes to how tasks are executed (for example due to join_app, or memoization). All tasks should end up in one of the states listed in `FINAL_STATES`. """ unsched = -1 pending = 0 """Task is known to parsl but cannot run yet. Usually, a task cannot run because it is waiting for dependency tasks to complete. """ running = 2 """Task is running on a resource. This state is special - a DFK task record never goes to States.running state; but the monitoring database may represent a task in this state based on non-DFK information received from monitor_wrapper.""" exec_done = 3 """Task has been executed successfully.""" failed = 4 """Task has failed and no more attempts will be made to run it.""" dep_fail = 5 """Dependencies of this task failed, so it is marked as failed without even an attempt to launch it.""" launched = 7 """Task has been passed to a `ParslExecutor` for execution.""" fail_retryable = 8 """Task has failed, but can be retried""" memo_done = 9 """Task was found in the memoization table, so it is marked as done without even an attempt to launch it.""" joining = 10 """Task is a join_app, joining on internal tasks. The task has run its own Python code, and is now waiting on other tasks before it can make further progress (to a done/failed state).""" FINAL_STATES = [States.exec_done, States.memo_done, States.failed, States.dep_fail] """States from which we will never move to another state, because the job has either definitively completed or failed.""" FINAL_FAILURE_STATES = [States.failed, States.dep_fail] """States which are final and which indicate a failure. This must be a subset of FINAL_STATES"""

32.808824

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null

0

null

0

1

0

1

74254b7b90cfc0efc1bfc67b61af489b33a9bc98

862

py

Python

data_conversion_subsystem/config/config.py

diego-hermida/ClimateChangeApp

576d49ec5b76f709cc86874ffb03f4a38dbbbbfd

[ "MIT" ]

2

2018-07-01T20:36:46.000Z

2019-11-01T22:47:06.000Z

data_conversion_subsystem/config/config.py

diego-hermida/ClimateChangeApp

576d49ec5b76f709cc86874ffb03f4a38dbbbbfd

[ "MIT" ]

1

2021-06-10T20:28:53.000Z

data_conversion_subsystem/config/config.py

diego-hermida/ClimateChangeApp

576d49ec5b76f709cc86874ffb03f4a38dbbbbfd

[ "MIT" ]

null

from os import environ from utilities.util import get_config DCS_CONFIG = get_config(__file__) DCS_CONFIG.update(get_config(__file__.replace('config.py', 'docker_config.py')) if environ.get('DOCKER_MODE', False) else get_config(__file__.replace('config.py', 'dev_config.py'))) DCS_CONFIG['DATA_CONVERSION_SUBSYSTEM_LOG_FILES_ROOT_FOLDER'] = DCS_CONFIG[ 'DATA_CONVERSION_SUBSYSTEM_LOG_FILES_ROOT_FOLDER'].replace(DCS_CONFIG['ID_WILDCARD_PATTERN'], '' if DCS_CONFIG['SUBSYSTEM_INSTANCE_ID'] == 1 else '_' + str(DCS_CONFIG['SUBSYSTEM_INSTANCE_ID'])) DCS_CONFIG['DATA_CONVERSION_SUBSYSTEM_STATE_FILES_ROOT_FOLDER'] = DCS_CONFIG[ 'DATA_CONVERSION_SUBSYSTEM_STATE_FILES_ROOT_FOLDER'].replace(DCS_CONFIG['ID_WILDCARD_PATTERN'], '' if DCS_CONFIG['SUBSYSTEM_INSTANCE_ID'] == 1 else '_' + str(DCS_CONFIG['SUBSYSTEM_INSTANCE_ID']))

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862

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862

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71.833333

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0.181818

0

null

0

1

0

null

0

1

74392be75a25359b077926e8e16806629ba266d4

3,693

py

Python

blackduck/Reporting.py

rishianand06/hub-rest-api-python

06ff0136b5e8f54a8947b70eca6fd26d72a9c6ea

[ "Apache-2.0" ]

null

blackduck/Reporting.py

rishianand06/hub-rest-api-python

06ff0136b5e8f54a8947b70eca6fd26d72a9c6ea

[ "Apache-2.0" ]

null

blackduck/Reporting.py

rishianand06/hub-rest-api-python

06ff0136b5e8f54a8947b70eca6fd26d72a9c6ea

[ "Apache-2.0" ]

null

import logging import requests import json from operator import itemgetter import urllib.parse from .Utils import object_id logger = logging.getLogger(__name__) valid_categories = ['VERSION','CODE_LOCATIONS','COMPONENTS','SECURITY','FILES', 'ATTACHMENTS', 'CRYPTO_ALGORITHMS', 'PROJECT_VERSION_CUSTOM_FIELDS', 'BOM_COMPONENT_CUSTOM_FIELDS', 'LICENSE_TERM_FULFILLMENT'] valid_report_formats = ["CSV", "JSON"] def create_version_reports(self, version, report_list, format="CSV"): assert all(list(map(lambda k: k in valid_categories, report_list))), "One or more selected report categories in {} are not valid ({})".format( report_list, valid_categories) assert format in valid_report_formats, "Format must be one of {}".format(valid_report_formats) post_data = { 'categories': report_list, 'versionId': version['_meta']['href'].split("/")[-1], 'reportType': 'VERSION', 'reportFormat': format } version_reports_url = self.get_link(version, 'versionReport') return self.execute_post(version_reports_url, post_data) valid_notices_formats = ["TEXT", "JSON"] def create_version_notices_report(self, version, format="TEXT", include_copyright_info=True): assert format in valid_notices_formats, "Format must be one of {}".format(valid_notices_formats) post_data = { 'versionId': object_id(version), 'reportType': 'VERSION_LICENSE', 'reportFormat': format } if include_copyright_info: post_data.update({'categories': ["COPYRIGHT_TEXT"] }) notices_report_url = self.get_link(version, 'licenseReports') return self.execute_post(notices_report_url, post_data) def download_report(self, report_id): # TODO: Fix me, looks like the reports should be downloaded from different paths than the one here, and depending on the type and format desired the path can change url = self.get_urlbase() + "/api/reports/{}".format(report_id) return self.execute_get(url, {'Content-Type': 'application/zip', 'Accept':'application/zip'}) def download_notification_report(self, report_location_url): '''Download the notices report using the report URL. Inspect the report object to determine the format and use the appropriate media header''' custom_headers = {'Accept': 'application/vnd.blackducksoftware.report-4+json'} response = self.execute_get(report_location_url, custom_headers=custom_headers) report_obj = response.json() if report_obj['reportFormat'] == 'TEXT': download_url = self.get_link(report_obj, "download") + ".json" logger.debug("downloading report from {}".format(download_url)) response = self.execute_get(download_url, {'Accept': 'application/zip'}) else: # JSON contents_url = self.get_link(report_obj, "content") logger.debug("retrieving report contents from {}".format(contents_url)) response = self.execute_get(contents_url, {'Accept': 'application/json'}) return response, report_obj['reportFormat'] ## # # (Global) Vulnerability reports # ## valid_vuln_status_report_formats = ["CSV", "JSON"] def create_vuln_status_report(self, format="CSV"): assert format in valid_vuln_status_report_formats, "Format must be one of {}".format(valid_vuln_status_report_formats) post_data = { "reportFormat": format, "locale": "en_US" } url = self.get_apibase() + "/vulnerability-status-reports" custom_headers = { 'Content-Type': 'application/vnd.blackducksoftware.report-4+json', 'Accept': 'application/vnd.blackducksoftware.report-4+json' } return self.execute_post(url, custom_headers=custom_headers, data=post_data)

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0.30131

0.021995

0.023566

0.021995

0.220738

0.141006

0.083661

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0.032207

0

0.001288

0.158949

3,693

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0

0.271039

0.074873

0

0.012048

0.064516

1

0.080645

false

0

0.096774

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0.258065

0

null

0

null

0

1

0

1

743bf38636435755c9ffb7ddc1a07e96b2063afd

3,346

py

Python

server/adb.py

narata/answerot_new_1

65d3dee0f4a1f0b743b17b82fbaf17479052f6be

[ "Apache-2.0" ]

null

server/adb.py

narata/answerot_new_1

65d3dee0f4a1f0b743b17b82fbaf17479052f6be

[ "Apache-2.0" ]

null

server/adb.py

narata/answerot_new_1

65d3dee0f4a1f0b743b17b82fbaf17479052f6be

[ "Apache-2.0" ]

null

import subprocess,re import ConfigParser def set_config(device, sx, sy, ci, ck): device_info = get_device() result = { "device": "", "sx": "", "sy": "", "client_id": "", "client_secret": "", "msg": "", "device_info": device_info, } cf = ConfigParser.ConfigParser() cf.read("server\\config.ini") if device == '' and sx=='' and sy == '': if len(cf.sections())<=0: return result try: result['sx']= cf.get('config', 'sx') except: pass try: result['sy'] = cf.get('config', 'sy') except: pass try: result['device'] = cf.get('config', 'device') except: pass try: result['client_id'] = cf.get('config', 'client_id') except: pass try: result['client_secret'] = cf.get('config', 'client_secret') except Exception as e: print e return result if not cf.has_section('config'): cf.add_section('config') cf.set('config', 'sx', sx) cf.set('config', 'sy', sy) cf.set('config', 'device', device) cf.set('config', 'client_id', ci) cf.set('config', 'client_secret', ck) cf.write(open("server\\config.ini", "w")) result = { "device": device, "sx": sx, "sy": sy, "client_id": ci, "client_secret": ck, "msg": "Config success!", "device_info": device_info, } return result def get_config(name): cf = ConfigParser.ConfigParser() try: cf.read("server\\config.ini") return cf.get('config', name) except Exception as e: return "" def get_file_data(path): f = file(path, 'r') b = f.read() f.close() return b def get_pic(path): cmd1 = "server\\bin\\adb.exe shell /system/bin/screencap -p /sdcard/screenshot.png" cmd2 = "server\\bin\\adb.exe pull /sdcard/screenshot.png " + path device = '' try: device = get_config('device') if device != '': cmd1 = "server\\bin\\adb.exe -s %s shell /system/bin/screencap -p /sdcard/screenshot.png" % device cmd2 = "server\\bin\\adb.exe -s %s pull /sdcard/screenshot.png %s" % (device, path) except: pass try: p = subprocess.Popen(cmd1, stderr=file("server\\bin\\log.txt", 'w')) p.wait() b = get_file_data("server\\bin\\log.txt") if len(b) > 0 and b.find('device') !=-1: return b p = subprocess.Popen(cmd2, stderr=file("server\\bin\\log.txt", 'w')) p.wait() b = get_file_data("server\\bin\\log.txt") if len(b) > 0 and b.find('device') !=-1: return b return True except Exception as e: return e def get_device(): cmd1 = "server\\bin\\adb.exe devices" try: p = subprocess.Popen(cmd1, stdout=file("server\\bin\\log.txt", 'w')) p.wait() b = get_file_data("server\\bin\\log.txt") b = b.split('\n') r = '' for bi in b: b1 = re.match(re.compile('(\d+).*device'), bi) if b1 != None: bi = bi + ' <<<<' r = r + bi + '\n' return r[:-2] except Exception as e: return e

28.355932

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3,346

3.959233

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0.327854

3,346

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null

0.009091

0

null

0

null

0

1

0

1

7441bd95b6465fa3864a116467ce2c5d66e46a23

283

py

Python

ged4py/__init__.py

haney/ged4py

d4ae4baa030caa23961fd1c15298f9e3a225c67d

[ "MIT" ]

1

2022-01-06T22:56:38.000Z

ged4py/__init__.py

haney/ged4py

d4ae4baa030caa23961fd1c15298f9e3a225c67d

[ "MIT" ]

null

ged4py/__init__.py

haney/ged4py

d4ae4baa030caa23961fd1c15298f9e3a225c67d

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Top-level package for GEDCOM parser for Python.""" __author__ = """Andy Salnikov""" __email__ = 'ged4py@py-dev.com' __version__ = '0.1.10' from . import codecs # noqa: F401, needed to register ANSEL codec from .parser import GedcomReader # noqa: F401

25.727273

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0.4

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null

0

null

0

1

0

1

74420935d01b554c5fcec41d054c6daf42c2218a

1,600

py

Python

src/auth.py

4shub/weExist

5b3187ecdd11ee079b3a0ce85bd1a1aeee242b16

[ "MIT" ]

null

src/auth.py

4shub/weExist

5b3187ecdd11ee079b3a0ce85bd1a1aeee242b16

[ "MIT" ]

null

src/auth.py

4shub/weExist

5b3187ecdd11ee079b3a0ce85bd1a1aeee242b16

[ "MIT" ]

null

""" Original: Shelley Pham New Author: Shubham Naik """ from __future__ import print_function import httplib2 import os import re import time import base64 from apiclient import discovery from apiclient import errors from oauth2client import client from oauth2client import tools from oauth2client.file import Storage import smtplib from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText SCOPES = 'https://mail.google.com/' CLIENT_SECRET_FILE = 'client_secret.json' APPLICATION_NAME = 'Gmail API Python Quickstart' try: import argparse flags = argparse.ArgumentParser(parents=[tools.argparser]).parse_args() except ImportError: flags = None def get_credentials(): home_dir = os.path.expanduser('~') credential_dir = os.path.join(home_dir, '.credentials') if not os.path.exists(credential_dir): os.makedirs(credential_dir) credential_path = os.path.join(credential_dir, 'gmail-python-quickstart.json') store = Storage(credential_path) credentials = store.get() if not credentials or credentials.invalid: flow = client.flow_from_clientsecrets(CLIENT_SECRET_FILE, SCOPES) flow.user_agent = APPLICATION_NAME if flags: credentials = tools.run_flow(flow, store, flags) else: # Needed only for compatibility with Python 2.6 credentials = tools.run(flow, store) print('Storing credentials to ' + credential_path) return credentials def main(): credentials = get_credentials() if __name__ == '__main__': main()

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null

0

null

0

1

0

1

7445bb6b5d5d54d39878d1c0db391f23d5030f90

396

py

Python

picky/wsgi.py

Wilfred/Picky

48c40ad3e5bcb531c76439384094b1acfb174824

[ "Python-2.0" ]

2

2018-10-18T00:02:21.000Z

2020-03-01T07:11:34.000Z

picky/wsgi.py

Wilfred/Picky

48c40ad3e5bcb531c76439384094b1acfb174824

[ "Python-2.0" ]

null

picky/wsgi.py

Wilfred/Picky

48c40ad3e5bcb531c76439384094b1acfb174824

[ "Python-2.0" ]

null

import os os.environ.setdefault("DJANGO_SETTINGS_MODULE", "picky.settings") # This application object is used by the development server # as well as any WSGI server configured to use this file. from django.core.wsgi import get_wsgi_application from raven.contrib.django.raven_compat.middleware.wsgi import Sentry from dj_static import Cling application = Cling(Sentry(get_wsgi_application()))

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null

0

null

0

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1

744740c25492cd193acb8f86ba79136bde1411c5

594

py

Python

label_maker/utils.py

cgoodier/label-maker

4e8774ff2790234352a78de82b92d762697a65d2

[ "MIT" ]

1

2021-03-21T13:37:46.000Z

label_maker/utils.py

cgoodier/label-maker

4e8774ff2790234352a78de82b92d762697a65d2

[ "MIT" ]

null

label_maker/utils.py

cgoodier/label-maker

4e8774ff2790234352a78de82b92d762697a65d2

[ "MIT" ]

null

"""Provide utility functions""" import numpy as np def url(tile, imagery): """Return a tile url provided an imagery template and a tile""" return imagery.replace('{x}', tile[0]).replace('{y}', tile[1]).replace('{z}', tile[2]) def class_match(ml_type, label, i): """Determine if a label matches a given class index""" if ml_type == 'classification': return label[i] > 0 elif ml_type == 'object-detection': return len(list(filter(lambda bb: bb[4] == i, label))) elif ml_type == 'segmentation': return np.count_nonzero(label == i) return None

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null

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null

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1

744966ab2f30b26d35cfd82483b84e8043c64525

2,702

py

Python

vb_baseapp/admin/actions/basemodel_with_softdelete.py

vbyazilim/django-vb-baseapp

83a62a9d7cb349351ea64aeeb616afe9a94cda5d

[ "MIT" ]

null

vb_baseapp/admin/actions/basemodel_with_softdelete.py

vbyazilim/django-vb-baseapp

83a62a9d7cb349351ea64aeeb616afe9a94cda5d

[ "MIT" ]

1

2021-10-30T16:44:15.000Z

vb_baseapp/admin/actions/basemodel_with_softdelete.py

vbyazilim/django-vb-baseapp

83a62a9d7cb349351ea64aeeb616afe9a94cda5d

[ "MIT" ]

null

from django.contrib.admin import helpers from django.contrib.admin.utils import model_ngettext from django.core.exceptions import PermissionDenied from django.template.response import TemplateResponse from django.utils.translation import ugettext_lazy as _ from console import console __all__ = ['recover_selected', 'hard_delete_selected'] console = console(source=__name__) def recover_selected(modeladmin, request, queryset): """ TODO: Implement this method!, try to inject intermediate page which is enabled on `hard_delete_selected` method. Inform user about which related records will be recovered... """ number_of_rows_recovered, __ = queryset.undelete() # __ = recovered_items if number_of_rows_recovered == 1: message_bit = _('1 record was') else: message_bit = _('%(number_of_rows)s records were') % dict(number_of_rows=number_of_rows_recovered) message = _('%(message_bit)s successfully marked as active') % dict(message_bit=message_bit) modeladmin.message_user(request, message) def hard_delete_selected(modeladmin, request, queryset): opts = modeladmin.model._meta # # pylint: disable=W0212 deletable_objects, model_count, perms_needed, protected = modeladmin.get_deleted_objects(queryset, request) if request.POST.get('post') and not protected: if perms_needed: raise PermissionDenied if queryset.count(): number_of_rows_deleted, __ = queryset.hard_delete() # __ = deleted_items if number_of_rows_deleted == 1: message_bit = _('1 record was') else: message_bit = _('%(number_of_rows)s records were') % dict(number_of_rows=number_of_rows_deleted) message = _('%(message_bit)s deleted') % dict(message_bit=message_bit) modeladmin.message_user(request, message) return None objects_name = model_ngettext(queryset) if perms_needed or protected: title = _('Cannot delete %(name)s') % {'name': objects_name} else: title = _('Are you sure?') context = { **modeladmin.admin_site.each_context(request), 'title': title, 'objects_name': str(objects_name), 'deletable_objects': [deletable_objects], 'model_count': dict(model_count).items(), 'queryset': queryset, 'perms_lacking': perms_needed, 'protected': protected, 'opts': opts, 'action_checkbox_name': helpers.ACTION_CHECKBOX_NAME, 'media': modeladmin.media, } request.current_app = modeladmin.admin_site.name return TemplateResponse(request, 'admin/hard_delete_selected_confirmation.html', context)

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2,702

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0

0.196078

0

null

0

null

0

1

0

1

7449e4cac17ed016fac5ca67316d8bffabed1d94

808

py

Python

appname/mailers/teams.py

Dnida/Ignite

38ac6042c9b16cdccf5ef066a1ee80b741b51a37

[ "BSD-2-Clause" ]

53

2017-12-12T06:58:25.000Z

2022-03-24T17:58:37.000Z

appname/mailers/teams.py

Dnida/Ignite

38ac6042c9b16cdccf5ef066a1ee80b741b51a37

[ "BSD-2-Clause" ]

144

2018-01-22T15:15:41.000Z

2022-03-28T09:02:00.000Z

appname/mailers/teams.py

Dnida/Ignite

38ac6042c9b16cdccf5ef066a1ee80b741b51a37

[ "BSD-2-Clause" ]

19

2017-12-12T07:04:14.000Z

2022-03-23T00:20:00.000Z

from flask import render_template, url_for from appname.mailers import Mailer class InviteEmail(Mailer): TEMPLATE = 'email/teams/invite.html' def __init__(self, invite): self.recipient = None self.invite = invite self.recipient_email = invite.invite_email or (invite.user and invite.user.email) @property def subject(self): return ("{0} invited you to join their team on appname" .format(self.invite.inviter.email)) def send(self): link = url_for('auth.invite_page', invite_id=self.invite.id, secret=self.invite.invite_secret, _external=True) html_body = render_template(self.TEMPLATE, link=link, invite=self.invite) return self.deliver_now(self.recipient_email, self.subject, html_body)

35.130435

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0.457143

0.112994

0.071563

0

0.001595

0.22401

808

22

90

36.727273

0.845295

0

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0.028465

0

1

0.176471

false

0

0.117647

0.058824

0.529412

0

null

0

null

0

1

0

1

744cd6bb1eb26fbde0da3fa1db370c1066848b73

1,915

py

Python

graphstar/tests/graph.py

pengboomouch/graphstar

f7f3537aa92118765b358dd3a47b4fa5cea8587c

[ "MIT" ]

null

graphstar/tests/graph.py

pengboomouch/graphstar

f7f3537aa92118765b358dd3a47b4fa5cea8587c

[ "MIT" ]

null

graphstar/tests/graph.py

pengboomouch/graphstar

f7f3537aa92118765b358dd3a47b4fa5cea8587c

[ "MIT" ]

null

import pytest from graphstar import graph @pytest.fixture(scope="function") def g(): return graph.Graph() @pytest.fixture def n(): return graph.Node() @pytest.fixture(scope="function") def two_nodes(g): n1 = g.make_node(1, 1) n2 = g.make_node(2, 2) return n1, n2 def test_get_node_by_id(g): """Test the node_by_id method""" n1 = g.make_node(1, 1) n2 = g.node_by_id(n1.id) assert n1 is n2 and n1.id == n2.id def test_node_id_is_unique(g): """Test incremental ids work""" for i in range(0, 10): n = g.make_node(i, i) assert n.id == i def test_node_duplicate_not_allowed(g): """Two nodes on the same position not allowed""" n1 = g.make_node(1, 1) n2 = g.node_by_id(n1.id) assert n1 is n2 and n1.id == n2.id def test_connection_creation(g, two_nodes): """Test the make_connection method""" n1, n2 = two_nodes c = g.make_connection(n1, n2) assert c is True def test_get_connections(g, two_nodes): """Test the get_connections method""" n1, n2 = two_nodes g.make_connection(n1, n2) clist = g.get_connections(n1) for c in clist: assert isinstance(c, graph.Connection) assert n1 is c.from_node and n2 is c.to_node def test_connection_refuse(g, n): """Connection with a node that is not in the Graph is not allowed""" # This node is in the graph, the other is not n1 = g.make_node(1, 1) c = g.make_connection(n, n1) assert c is False def test_connection_costs(g): """Test connection costs are assigned correctly (manhattan heuristic)""" n1 = g.make_node(1, 1) n2 = g.make_node(3, 3) g.make_connection(n1, n2) clist = g.get_connections(n1) for c in clist: assert c.cost == 4 def test_duplicate_connection_not_allowed(g, two_nodes): """Duplicate connections in same direction are not allowed""" n1, n2 = two_nodes connected = g.make_connection(n1, n2) assert connected is True connect_again = g.make_connection(n1, n2) assert connect_again is False

21.277778

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0.710705

348

1,915

3.741379

0.20977

0.053763

0.0553

0.042243

0.408602

0.282642

0.215054

0

0.037712

0.169191

1,915

89

57

21.516854

0.780641

0.203655

0

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0

0.010804

0

0.188679

1

0.207547

false

0

0.037736

0.301887

0

null

0

null

0

1

0

1

744eeaef10e5457895973e69731f2d0834acf4b0

30,350

py

Python

__classes__/node.py

Ahuge/NukeParser

97a37883f5ccf030da319d21c5f80cfd6113df49

[ "MIT" ]

24

2016-06-26T01:29:04.000Z

2021-04-30T16:20:13.000Z

__classes__/node.py

Ahuge/NukeParser

97a37883f5ccf030da319d21c5f80cfd6113df49

[ "MIT" ]

2

2021-10-13T23:12:06.000Z

2022-01-17T21:30:00.000Z

__classes__/node.py

Ahuge/NukeParser

97a37883f5ccf030da319d21c5f80cfd6113df49

[ "MIT" ]

2

2019-10-29T17:23:59.000Z

2020-06-24T18:47:14.000Z

class Node(object): def Class(self): """ self.Class() -> Class of node. @return: Class of node. """ # raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") return "%s(%r)" % (self.__class__, self.__dict__) def __getitem__(self): """ x.__getitem__(y) <==> x[y] """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def __len__(self): """ x.__len__() <==> len(x) """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def __reduce_ex__(self): raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def __repr__(self): """ x.__repr__() <==> repr(x) """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def __str__(self): """ x.__str__() <==> str(x) """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def addKnob(self, k): """ self.addKnob(k) -> None. Add knob k to this node or panel. @param k: Knob. @return: None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def allKnobs(self): """ self.allKnobs() -> list Get a list of all knobs in this node, including nameless knobs. For example: >>> b = nuke.nodes.Blur() >>> b.allKnobs() @return: List of all knobs. Note that this doesn't follow the links for Link_Knobs """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def autoplace(self): """ self.autoplace() -> None. Automatically place nodes, so they do not overlap. @return: None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def bbox(self): """ self.bbox() -> List of x, y, w, h. Bounding box of the node. @return: List of x, y, w, h. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def canSetInput(self, i, node): """ self.canSetInput(i, node) -> bool Check whether the output of 'node' can be connected to input i. @param i: Input number. @param node: The node to be connected to input i. @return: True if node can be connected, False otherwise. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def channels(self): """ self.channels() -> String list. List channels output by this node. @return: String list. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def clones(self): """ self.clones() -> Number of clones. @return: Number of clones. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def connectInput(self, i, node): """ self.connectInput(i, node) -> bool Connect the output of 'node' to the i'th input or the next available unconnected input. The requested input is tried first, but if it is already set then subsequent inputs are tried until an unconnected one is found, as when you drop a connection arrow onto a node in the GUI. @param i: Input number to try first. @param node: The node to connect to input i. @return: True if a connection is made, False otherwise. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def deepSample(self, c, x, y, n): """ self.deepSample(c, x, y, n) -> Floating point value. Return pixel values from a deep image. This requires the image to be calculated, so performance may be very bad if this is placed into an expression in a control panel. @param c: Channel name. @param x: Position to sample (X coordinate). @param y: Position to sample (Y coordinate). @param n: Sample index (between 0 and the number returned by deepSampleCount() for this pixel, or -1 for the frontmost). @return: Floating point value. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def deepSampleCount(self, x, y): """ self.deepSampleCount(x, y) -> Integer value. Return number of samples for a pixel on a deep image. This requires the image to be calculated, so performance may be very bad if this is placed into an expression in a control panel. @param x: Position to sample (X coordinate). @param y: Position to sample (Y coordinate). @return: Integer value. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def dependencies(self, what): """ self.dependencies(what) -> List of nodes. List all nodes referred to by this node. 'what' is an optional integer (see below). You can use the following constants or'ed together to select what types of dependencies are looked for: nuke.EXPRESSIONS = expressions nuke.INPUTS = visible input pipes nuke.HIDDEN_INPUTS = hidden input pipes. The default is to look for all types of connections. Example: nuke.toNode('Blur1').dependencies( nuke.INPUTS | nuke.EXPRESSIONS ) @param what: Or'ed constant of nuke.EXPRESSIONS, nuke.INPUTS and nuke.HIDDEN_INPUTS to select the types of dependencies. The default is to look for all types of connections. @return: List of nodes. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def dependent(self, what, forceEvaluate): """ self.dependent(what, forceEvaluate) -> List of nodes. List all nodes that read information from this node. 'what' is an optional integer: You can use any combination of the following constants or'ed together to select what types of dependent nodes to look for: nuke.EXPRESSIONS = expressions nuke.INPUTS = visible input pipes nuke.HIDDEN_INPUTS = hidden input pipes. The default is to look for all types of connections. forceEvaluate is an optional boolean defaulting to True. When this parameter is true, it forces a re-evaluation of the entire tree. This can be expensive, but otherwise could give incorrect results if nodes are expression-linked. Example: nuke.toNode('Blur1').dependent( nuke.INPUTS | nuke.EXPRESSIONS ) @param what: Or'ed constant of nuke.EXPRESSIONS, nuke.INPUTS and nuke.HIDDEN_INPUTS to select the types of dependent nodes. The default is to look for all types of connections. @param forceEvaluate: Specifies whether a full tree evaluation will take place. Defaults to True. @return: List of nodes. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def error(self): """ error() -> bool True if the node or any in its input tree have an error, or False otherwise. Error state of the node and its input tree. Deprecated; use hasError or treeHasError instead. Note that this will always return false for viewers, which cannot generate their input trees. Instead, choose an input of the viewer (e.g. the active one), and call treeHasError() on that. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def fileDependencies(self, start, end): """ self.fileDependencies(start, end) -> List of nodes and filenames. @param start: first frame @param end: last frame Returns the list of input file dependencies for this node and all nodes upstream from this node for the given frame range. The file dependencies are calcuated by searching for Read ops or ops with a File knob. All views are considered and current proxy mode is used to decide on whether full format or proxy files are returned. Note that Write nodes files are also included but precomps, gizmos and external plugins are not. Any time shifting operation such as frameholds, timeblurs, motionblur etc are taken into consideration. @return The return list is a list of nodes and files they require. Eg. [Read1, ['file1.dpx, file2.dpx'] ], [Read2, ['file3.dpx', 'file4.dpx'] ] ] """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def firstFrame(self): """ self.firstFrame() -> int. First frame in frame range for this node. @return: int. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def forceValidate(self): """ self.forceValidate() -> None Force the node to validate itself, updating its hash. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def format(self): """ self.format() -> Format. Format of the node. @return: Format. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def frameRange(self): """ self.frameRange() -> FrameRange. Frame range for this node. @return: FrameRange. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def fullName(self): """ self.fullName() -> str Get the name of this node and any groups enclosing it in 'group.group.name' form. @return: The fully-qualified name of this node, as a string. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def getNumKnobs(self): """ self.numKnobs() -> The number of knobs. @return: The number of knobs. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def hasError(self): """ hasError() -> bool True if the node itself has an error, regardless of the state of the ops in its input tree, or False otherwise. Error state of the node itself, regardless of the state of the ops in its input tree. Note that an error on a node may not appear if there is an error somewhere in its input tree, because it may not be possible to validate the node itself correctly in that case. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def height(self): """ self.height() -> int. Height of the node. @return: int. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def help(self): """ self.help() -> str @return: Help for the node. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def hideControlPanel(self): """ self.hideControlPanel() -> None @return: None """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def input(self, i): """ self.input(i) -> The i'th input. @param i: Input number. @return: The i'th input. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def inputs(self): """ self.inputs() -> Gets the maximum number of connected inputs. @return: Number of the highest connected input + 1. If inputs 0, 1, and 3 are connected, this will return 4. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def isSelected(self): """ self.isSelected() -> bool Returns the current selection state of the node. This is the same as checking the 'selected' knob. @return: True if selected, or False if not. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def knob(self, p): """ self.knob(p) -> The knob named p or the pth knob. @param p: A string or an integer. @return: The knob named p or the pth knob. Note that this follows the links for Link_Knobs """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def knobs(self): """ self.knobs() -> dict Get a dictionary of (name, knob) pairs for all knobs in this node. For example: >>> b = nuke.nodes.Blur() >>> b.knobs() @return: Dictionary of all knobs. Note that this doesn't follow the links for Link_Knobs """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def lastFrame(self): """ self.lastFrame() -> int. Last frame in frame range for this node. @return: int. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def linkableKnobs(self): """ self.linkableKnobs(knobType) -> List Returns a list of any knobs that may be linked to from the node as well as some meta information about the knob. This may include whether the knob is enabled and whether it should be used for absolute or relative values. Not all of these variables may make sense for all knobs.. @param knobType A KnobType describing the type of knobs you want.@return: A list of LinkableKnobInfo that may be empty . """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def maxInputs(self): """ self.maximumInputs() -> Maximum number of inputs this node can have. @return: Maximum number of inputs this node can have. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def maxOutputs(self): """ self.maximumOutputs() -> Maximum number of outputs this node can have. @return: Maximum number of outputs this node can have. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def maximumInputs(self): """ self.maximumInputs() -> Maximum number of inputs this node can have. @return: Maximum number of inputs this node can have. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def maximumOutputs(self): """ self.maximumOutputs() -> Maximum number of outputs this node can have. @return: Maximum number of outputs this node can have. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def metadata(self, key, time, view): """ self.metadata(key, time, view) -> value or dict Return the metadata item for key on this node at current output context, or at optional time and view. If key is not specified a dictionary containing all key/value pairs is returned. None is returned if key does not exist on this node. @param key: Optional name of the metadata key to retrieve. @param time: Optional time to evaluate at (default is taken from node's current output context). @param view: Optional view to evaluate at (default is taken from node's current output context). @return: The requested metadata value, a dictionary containing all keys if a key name is not provided, or None if the specified key is not matched. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def minInputs(self): """ self.minimumInputs() -> Minimum number of inputs this node can have. @return: Minimum number of inputs this node can have. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def minimumInputs(self): """ self.minimumInputs() -> Minimum number of inputs this node can have. @return: Minimum number of inputs this node can have. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def name(self): """ self.name() -> str @return: Name of node. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def numKnobs(self): """ self.numKnobs() -> The number of knobs. @return: The number of knobs. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def opHashes(self): """ self.opHashes() -> list of int Returns a list of hash values, one for each op in this node. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def optionalInput(self): """ self.optionalInput() -> Number of first optional input. @return: Number of first optional input. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def performanceInfo(self): """ self.performanceInfo( category ) -> Returns performance information for this node. Performance timing must be enabled. @category: performance category ( optional ).A performance category, must be either nuke.PROFILE_STORE, nuke.PROFILE_VALIDATE, nuke.PROFILE_REQUEST or nuke.PROFILE_ENGINE The default is nuke.PROFILE_ENGINE which gives the performance info of the render engine. @return: A dictionary containing the cumulative performance info for this category, where: callCount = the number of calls made timeTakenCPU = the CPU time spent in microseconds timeTakenWall = the actual time ( wall time ) spent in microseconds """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def pixelAspect(self): """ self.pixelAspect() -> int. Pixel Aspect ratio of the node. @return: float. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def proxy(self): """ self.proxy() -> bool @return: True if proxy is enabled, False otherwise. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def readKnobs(self, s): """ self.readKnobs(s) -> None. Read the knobs from a string (TCL syntax). @param s: A string. @return: None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def redraw(self): """ self.redraw() -> None. Force a redraw of the node. @return: None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def removeKnob(self, k): """ self.removeKnob(k) -> None. Remove knob k from this node or panel. Throws a ValueError exception if k is not found on the node. @param k: Knob. @return: None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def resetKnobsToDefault(self): """ self.resetKnobsToDefault() -> None Reset all the knobs to their default values. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def running(self): """ self.running() -> Node rendering when paralled threads are running or None. Class method. @return: Node rendering when paralled threads are running or None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def sample(self, c, x, y, dx, dy, frame): """ self.sample(c, x, y, dx, dy) -> Floating point value. Return pixel values from an image. This requires the image to be calculated, so performance may be very bad if this is placed into an expression in a control panel. Produces a cubic filtered result. Any sizes less than 1, including 0, produce the same filtered result, this is correct based on sampling theory. Note that integers are at the corners of pixels, to center on a pixel add .5 to both coordinates. If the optional dx,dy are not given then the exact value of the square pixel that x,y lands in is returned. This is also called 'impulse filtering'. @param c: Channel name. @param x: Centre of the area to sample (X coordinate). @param y: Centre of the area to sample (Y coordinate). @param dx: Optional size of the area to sample (X coordinate). @param dy: Optional size of the area to sample (Y coordinate). @param frame: Optional frame to sample the node at. @return: Floating point value. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def screenHeight(self): """ self.screenHeight() -> int. Height of the node when displayed on screen in the DAG, at 1:1 zoom, in pixels. @return: int. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def screenWidth(self): """ self.screenWidth() -> int. Width of the node when displayed on screen in the DAG, at 1:1 zoom, in pixels. @return: int. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def selectOnly(self): """ self.selectOnly() -> None. Set this node to be the only selection, as if it had been clicked in the DAG. @return: None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def setInput(self, i, node): """ self.setInput(i, node) -> bool Connect input i to node if canSetInput() returns true. @param i: Input number. @param node: The node to connect to input i. @return: True if canSetInput() returns true, or if the input is already correct. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def setName(self, name, uncollide, updateExpressions): """ self.setName(name, uncollide=True, updateExpressions=False) -> None Set name of the node and resolve name collisions if optional named argument 'uncollide' is True. @param name: A string. @param uncollide: Optional boolean to resolve name collisions. Defaults to True. @param updateExpressions: Optional boolean to update expressions in other nodes to point at the new name. Defaults to False. @return: None """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def setSelected(self, selected): """ self.setSelected(selected) -> None. Set the selection state of the node. This is the same as changing the 'selected' knob. @param selected: New selection state - True or False. @return: None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def setTab(self, tabIndex): """ self.setTab(tabIndex) -> None @param tabIndex: The tab to show (first is 0). @return: None """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def setXYpos(self, x, y): """ self.setXYpos(x, y) -> None. Set the (x, y) position of node in node graph. @param x: The x position of node in node graph. @param y: The y position of node in node graph. @return: None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def setXpos(self, x): """ self.setXpos(x) -> None. Set the x position of node in node graph. @param x: The x position of node in node graph. @return: None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def setYpos(self, y): """ self.setYpos(y) -> None. Set the y position of node in node graph. @param y: The y position of node in node graph. @return: None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def showControlPanel(self, forceFloat): """ self.showControlPanel(forceFloat = false) -> None @param forceFloat: Optional python object. If it evaluates to True the control panel will always open as a floating panel. Default is False. @return: None """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def showInfo(self, s): """ self.showInfo(s) -> None. Creates a dialog box showing the result of script s. @param s: A string. @return: None. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def shown(self): """ self.shown() -> true if the properties panel is open. This can be used to skip updates that are not visible to the user. @return: true if the properties panel is open. This can be used to skip updates that are not visible to the user. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def treeHasError(self): """ treeHasError() -> bool True if the node or any in its input tree have an error, or False otherwise. Error state of the node and its input tree. Note that this will always return false for viewers, which cannot generate their input trees. Instead, choose an input of the viewer (e.g. the active one), and call treeHasError() on that. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def upstreamFrameRange(self, i): """ self.upstreamFrameRange(i) -> FrameRange Frame range for the i'th input of this node. @param i: Input number. @return: FrameRange. Returns None when querying an invalid input. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def width(self): """ self.width() -> int. Width of the node. @return: int. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def writeKnobs(self, i): """ self.writeKnobs(i) -> String in .nk form. Return a tcl list. If TO_SCRIPT | TO_VALUE is not on, this is a simple list of knob names. If it is on, it is an alternating list of knob names and the output of to_script(). Flags can be any of these or'd together: - nuke.TO_SCRIPT produces to_script(0) values - nuke.TO_VALUE produces to_script(context) values - nuke.WRITE_NON_DEFAULT_ONLY skips knobs with not_default() false - nuke.WRITE_USER_KNOB_DEFS writes addUserKnob commands for user knobs - nuke.WRITE_ALL writes normally invisible knobs like name, xpos, ypos @param i: The set of flags or'd together. Default is TO_SCRIPT | TO_VALUE. @return: String in .nk form. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def xpos(self): """ self.xpos() -> X position of node in node graph. @return: X position of node in node graph. """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.")

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0

null

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1

0

1

7452e14d90ee89dce38e2b779f06bcdfbe502433

11,061

py

Python

tests/test_admin.py

hongquan/django-improved-user

ae91086adf58aeca81d6e0fe1aeb4c7f3f4c2a77

[ "BSD-2-Clause" ]

null

tests/test_admin.py

hongquan/django-improved-user

ae91086adf58aeca81d6e0fe1aeb4c7f3f4c2a77

[ "BSD-2-Clause" ]

null

tests/test_admin.py

hongquan/django-improved-user

ae91086adf58aeca81d6e0fe1aeb4c7f3f4c2a77

[ "BSD-2-Clause" ]

null

"""Test Admin interface provided by Improved User""" import os import re from django import VERSION as DjangoVersion from django.contrib.admin.models import LogEntry from django.contrib.auth import SESSION_KEY from django.test import TestCase, override_settings from django.test.utils import patch_logger from django.utils.encoding import force_text from improved_user.admin import UserAdmin from improved_user.forms import UserChangeForm, UserCreationForm from improved_user.models import User # TODO: remove conditional import when Dj 1.8 dropped # pylint: disable=ungrouped-imports try: from django.urls import reverse except ImportError: from django.core.urlresolvers import reverse # pylint: enable=ungrouped-imports # Redirect in test_user_change_password will fail if session auth hash # isn't updated after password change (#21649) @override_settings(ROOT_URLCONF='tests.urls') class UserAdminTests(TestCase): """Based off django.tests.auth_tests.test_views.ChangelistTests""" @classmethod def setUpTestData(cls): """Called by TestCase during initialization; creates users""" cls.user1 = User.objects.create_user( email='testclient@example.com', password='password', ) cls.user2 = User.objects.create_user( email='staffmember@example.com', password='password', ) def setUp(self): """Make user1 a superuser before logging in.""" User.objects\ .filter(email='testclient@example.com')\ .update(is_staff=True, is_superuser=True) self.login() self.admin = User.objects.get(pk=self.user1.pk) def login(self, username='testclient@example.com', password='password'): """Helper function to login the user (specified or default)""" response = self.client.post('/login/', { 'username': username, 'password': password, }) self.assertIn(SESSION_KEY, self.client.session) return response def logout(self): """Helper function to logout the user""" response = self.client.get('/admin/logout/') self.assertEqual(response.status_code, 200) self.assertNotIn(SESSION_KEY, self.client.session) def get_user_data(self, user): # pylint: disable=no-self-use """Generate dictionary of values to compare against""" return { 'email': user.email, 'password': user.password, 'is_active': user.is_active, 'is_staff': user.is_staff, 'is_superuser': user.is_superuser, 'last_login_0': user.last_login.strftime('%Y-%m-%d'), 'last_login_1': user.last_login.strftime('%H:%M:%S'), 'initial-last_login_0': user.last_login.strftime('%Y-%m-%d'), 'initial-last_login_1': user.last_login.strftime('%H:%M:%S'), 'date_joined_0': user.date_joined.strftime('%Y-%m-%d'), 'date_joined_1': user.date_joined.strftime('%H:%M:%S'), 'initial-date_joined_0': user.date_joined.strftime('%Y-%m-%d'), 'initial-date_joined_1': user.date_joined.strftime('%H:%M:%S'), 'full_name': user.full_name, 'short_name': user.short_name, } def test_display_fields(self): """Test that admin shows all user fields""" excluded_model_fields = ['id', 'logentry'] model_fields = set( field.name for field in User._meta.get_fields() if field.name not in excluded_model_fields ) admin_fieldset_fields = set( fieldname for name, fieldset in UserAdmin.fieldsets for fieldname in fieldset['fields'] ) self.assertEqual(model_fields, admin_fieldset_fields) def test_add_has_required_fields(self): """Test all required fields in Admin Add view""" excluded_model_fields = [ 'date_joined', 'is_active', 'is_staff', 'is_superuser', 'password', ] required_model_fields = [ field.name for field in User._meta.get_fields() if (field.name not in excluded_model_fields and hasattr(field, 'null') and field.null is False and hasattr(field, 'blank') and field.blank is False) ] extra_form_fields = [ field_name for field_name in list( UserCreationForm.declared_fields, # pylint: disable=no-member ) ] admin_add_fields = [ fieldname for name, fieldset in UserAdmin.add_fieldsets for fieldname in fieldset['fields'] ] for field in required_model_fields+extra_form_fields: with self.subTest(field=field): self.assertIn(field, admin_add_fields) def test_correct_forms_used(self): """Test that UserAdmin uses the right forms""" self.assertIs(UserAdmin.add_form, UserCreationForm) self.assertIs(UserAdmin.form, UserChangeForm) def test_user_add(self): """Ensure the admin add view works correctly""" # we can get the form view get_response = self.client.get( reverse('auth_test_admin:improved_user_user_add')) self.assertEqual(get_response.status_code, 200) # we can create new users in the form view post_response = self.client.post( reverse('auth_test_admin:improved_user_user_add'), { 'email': 'newuser@example.com', 'password1': 'passw0rd1!', 'password2': 'passw0rd1!', }, follow=True, ) self.assertEqual(post_response.status_code, 200) self.assertTrue( User.objects.filter(email='newuser@example.com').exists()) new_user = User.objects.get(email='newuser@example.com') self.assertTrue(new_user.check_password('passw0rd1!')) def test_user_change_email(self): """Test that user can change email in Admin""" data = self.get_user_data(self.admin) data['email'] = 'new_' + data['email'] response = self.client.post( reverse( 'auth_test_admin:improved_user_user_change', args=(self.admin.pk,), ), data, ) self.assertRedirects( response, reverse('auth_test_admin:improved_user_user_changelist')) row = LogEntry.objects.latest('id') if DjangoVersion >= (1, 9): self.assertEqual(row.get_change_message(), 'Changed email.') else: self.assertEqual(row.change_message, 'Changed email.') def test_user_not_change(self): """Test that message is raised when form submitted unchanged""" response = self.client.post( reverse( 'auth_test_admin:improved_user_user_change', args=(self.admin.pk,), ), self.get_user_data(self.admin), ) self.assertRedirects( response, reverse('auth_test_admin:improved_user_user_changelist')) row = LogEntry.objects.latest('id') if DjangoVersion >= (1, 9): self.assertEqual(row.get_change_message(), 'No fields changed.') else: self.assertEqual(row.change_message, 'No fields changed.') def test_user_change_password(self): """Test that URL to change password form is correct""" user_change_url = reverse( 'auth_test_admin:improved_user_user_change', args=(self.admin.pk,)) password_change_url = reverse( 'auth_test_admin:auth_user_password_change', args=(self.admin.pk,)) response = self.client.get(user_change_url) # Test the link inside password field help_text. rel_link = re.search( r'you can change the password using ' r'<a href="([^"]*)">this form</a>', force_text(response.content), ).groups()[0] self.assertEqual( os.path.normpath(user_change_url + rel_link), os.path.normpath(password_change_url), ) response = self.client.post( password_change_url, { 'password1': 'password1', 'password2': 'password1', }, ) self.assertRedirects(response, user_change_url) row = LogEntry.objects.latest('id') if DjangoVersion >= (1, 9): self.assertEqual(row.get_change_message(), 'Changed password.') else: self.assertEqual(row.change_message, 'Changed password.') self.logout() self.login(password='password1') def test_user_change_password_subclass_path(self): """Test subclasses can override password URL""" class CustomChangeForm(UserChangeForm): """Subclass of UserChangeForm; uses rel_password_url""" rel_password_url = 'moOps' form = CustomChangeForm() self.assertEqual(form.rel_password_url, 'moOps') rel_link = re.search( r'you can change the password using ' r'<a href="([^"]*)">this form</a>', form.fields['password'].help_text, ).groups()[0] self.assertEqual(rel_link, 'moOps') def test_user_change_different_user_password(self): """Test that administrator can update other Users' passwords""" user = User.objects.get(email='staffmember@example.com') response = self.client.post( reverse( 'auth_test_admin:auth_user_password_change', args=(user.pk,), ), { 'password1': 'password1', 'password2': 'password1', }, ) self.assertRedirects( response, reverse( 'auth_test_admin:improved_user_user_change', args=(user.pk,))) row = LogEntry.objects.latest('id') self.assertEqual(row.user_id, self.admin.pk) self.assertEqual(row.object_id, str(user.pk)) if DjangoVersion >= (1, 9): self.assertEqual(row.get_change_message(), 'Changed password.') else: self.assertEqual(row.change_message, 'Changed password.') def test_changelist_disallows_password_lookups(self): """Users shouldn't be allowed to guess password Checks against repeated password__startswith queries https://code.djangoproject.com/ticket/20078 """ # A lookup that tries to filter on password isn't OK with patch_logger( 'django.security.DisallowedModelAdminLookup', 'error', ) as logger_calls: response = self.client.get( reverse('auth_test_admin:improved_user_user_changelist') + '?password__startswith=sha1$') self.assertEqual(response.status_code, 400) self.assertEqual(len(logger_calls), 1)

38.810526

79

0.610975

1,252

11,061

5.199681

0.211661

0.043779

0.025346

0.033794

0.403379

0.319662

0.282028

0.260369

0.254531

0.238863

0

0.008166

0.280354

11,061

284

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38.947183

0.809673

0.126752

0

0.262009

0

0.162417

0.071346

0

0.003521

0.131004

1

0.065502

false

0.144105

0.061135

0

0.144105

0

null

0

null

0

1

0

1

7457d920cfc6444acc0e2d57941c84cbbc902130

370

py

Python

metoo/db/redis.py

Kevin-Huang-NZ/fastapi_face_recognition

ef0811260a79c441816e007f1f9ca2a0597fc055

[ "MIT" ]

null

metoo/db/redis.py

Kevin-Huang-NZ/fastapi_face_recognition

ef0811260a79c441816e007f1f9ca2a0597fc055

[ "MIT" ]

null

metoo/db/redis.py

Kevin-Huang-NZ/fastapi_face_recognition

ef0811260a79c441816e007f1f9ca2a0597fc055

[ "MIT" ]

null

from aioredis import Redis, from_url from core.config import settings async def init_redis_pool() -> Redis: if settings.USE_REDIS_SENTINEL: pass else: redis = await from_url( settings.REDIS_URL, password=settings.REDIS_PASSWORD, encoding="utf-8", db=settings.REDIS_DB, ) return redis

23.125

45

0.618919

44

370

5

0.545455

0.177273

0

0.003922

0.310811

370

16

46

23.125

0.858824

0

0.013477

0

1

0

false

0.153846

0

0.230769

0

null

0

null

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1

0

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