= width:\n padded = cv2.copyMakeBorder(roi,0,0,(height-width)//2,(height-width)//2,cv2.BORDER_CONSTANT,value=[0,0,0])\n else:\n padded = cv2.copyMakeBorder(roi,(width-height)//2,(width-height)//2,0,0,cv2.BORDER_CONSTANT,value=[0,0,0])\n Smol = cv2.resize(padded, (28, 28))\n (thresh, evaluateMe) = cv2.threshold(Smol, 20, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)\n #scipy.misc.imsave(os.path.basename(file), ree)\n #Step Two.2: Feed that numpy into our PA4 image analyzer converter thing but using our new trained model\n evaluateMeMe = numpy.reshape(evaluateMe, (1, 28, 28, 1))\n prediction = tf.argmax(y_conv,1)\n final_number = prediction.eval(feed_dict={x:evaluateMeMe,y_:numpy.zeros((1,40)), keep_prob:1.0})\n #Step Two.3: Record what we think it is as the prediction field of the SymPred we are currently on\n final_guess = wrapper.label_types[int(final_number)]\n DisSymPred = SymPred(final_guess,x1,y1,x1+w,y1-h)\n SymPredList.append(DisSymPred)\n\n #Step Three: Wrap that now complete SymPred list, in an ImgPred, fill out all the fields of that ImgPred, and then return that shit.\n img_prediction = ImgPred(os.path.basename(image_path), SymPredList)\n\n #Step Four: Were Donezo\n return img_prediction","def _tokenize_chinese_chars(text):\n output = []\n for char in text:\n cp = ord(char)\n if _is_chinese_char(cp) or is_fuhao(char):\n if len(output) > 0 and output[-1] != SPIECE_UNDERLINE:\n output.append(SPIECE_UNDERLINE)\n output.append(char)\n output.append(SPIECE_UNDERLINE)\n else:\n output.append(char)\n return \"\".join(output)","def phrase_dict(phrase):\n switcher = {\n '처음으로': '닥앤미 병원을 찾아주셔서 감사합니다. 직접문의원할시 오른쪽 아래 1:1 버튼을 눌러주시면 직접 상담 가능합니다. 1:1 상담 가능 시간은 09시 – 18시 입니다.',\n '병원 정보': '어떤 정보를 보시고 싶으신가요?',\n '병원 위치': '“닥앤미 병원 주소는 서울시 용산구 이촌동 세움상가 2층입니다.” 더 자세한 지도확인을 원하실 경우 아래 버튼을 눌러주세요',\n '병원 운영시간': '닥앤미 병원을 찾아주셔서 감사합니다. 병원 운영시간은 위의 내용과 같습니다',\n '병원 프로모션': '현재 진행되고 있는 병원 프로모션입니다. 자세히 보길 원하시면 아래의 프로모션을 선택해 주세요',\n '프로모션 A': '닥앤미에서 6월 30일까지 제공되는 프로모션 A 입니다.',\n '프로모션 B': '닥앤미에서 6월 30일까지 제공되는 프로모션 B 입니다.',\n '프로모션 C': '닥앤미에서 6월 30일까지 제공되는 프로모션 C 입니다.',\n '의료진': '안녕하세요, 닥앤미의 홍길동 전문의 입니다. 항상 최선을 다하겠습니다.',\n '병원 사진': '최고의 진료를 제공하는 닥앤미 병원입니다.',\n '병원 진료과목': '닥앤미 병원의 진료과목입니다.',\n '병원 전화하기': '닥앤미 병원 전화번호는 02 3522 XXXX 입니다. 지금 통화를 원하시면 아래 버튼을 눌러주세요'\n }\n default_text = 'Unable to find appropriate text response'\n return switcher.get(phrase, default_text)","def map2mw_Des(d,k1,entry):\n if k1 in map2mw_special_Des:\n return map2mw_special_Des[k1]\n regexes = [\n u'<ab>dés.</ab> de {%(.*?)%}',\n u'<ab>dés.</ab> {%(.*?)%}',\n u'<ab>dés.</ab> du <ab>c.</ab> de {%(.*?)%}',\n\n ]\n line = entry.datalines[0] # first line of entry in bur.txt\n for regex in regexes:\n m = re.search(regex,line)\n if m:\n root = m.group(1) # root in \n root_slp1=roman_slp1_mw(root,'verb',d)\n if root_slp1 != None:\n return root_slp1\n\n return '?'","def _preprocess(self, txt_seq):\n input = []\n label = []\n punc = \" \"\n for token in txt_seq.split():\n if token in self.punc2id:\n punc = token\n else:\n input.append(self.word2id.get(token, self.word2id[\"<UNK>\"]))\n label.append(self.punc2id[punc])\n punc = \" \"\n input.append(self.word2id[\"<END>\"])\n label.append(self.punc2id[punc])\n input = torch.LongTensor(input)\n label = torch.LongTensor(label)\n # input = np.array(input)\n # label = np.array(label)\n return input, label","def enlabel(mi_, ma_):\n\treturn \"Unicode characters from {} to {} codepoints\".format(mi_, ma_)","def _tokenize_chinese_chars(self, text):\n output = []\n for char in text:\n output.append(\" \")\n output.append(char)\n output.append(\" \")\n return \"\".join(output)","def map_postags(treebank_tag):\n\n if treebank_tag.startswith('J'):\n return \"a\"\n elif treebank_tag.startswith('V'):\n return \"v\"\n elif treebank_tag.startswith('N'):\n return \"n\"\n elif treebank_tag.startswith('R'):\n return \"r\"\n else:\n return 'n'","def preprocess_char_ngram(self):\n self.char_to_id, self.unk_char_list = self.build_vocab(mode=\"char\")\n self.ngram_to_id, self.unk_ngram_list, self.max_ngram_per_word = self.build_ngram_vocab(self.n)\n for ch in self.char_to_id:\n if ch not in self.ngram_to_id:\n self.ngram_to_id[ch] = len(self.ngram_to_id)\n self.subword_vocab_size = len(self.ngram_to_id)\n with open(self.sub_vocab_file, 'wb') as f:\n pickle.dump((self.ngram_to_id, self.unk_char_list, self.unk_ngram_list, self.max_ngram_per_word), f)","def split_japanese_text(self, text):\n\n for match in self.word_pattern.finditer(text):\n word = match.group(0)\n got_japanese = False\n for m in self.jword_pattern.finditer(word):\n w = m.group(0)\n got_japanese = True\n yield w.lower()\n if not got_japanese:\n yield word.lower()","def feature_dict(sent, i):\n palabra=sent[i] #suponinedo que al menos tiene una palabra\n especiales= [\"á\",\"é\",\"í\",\"ó\",\"ú\", \"ü\"] #solo chequeo minusculas porque pregunto sobre el lower del string\n\n #sobre la anterior\n if i==0: #primera de la oracion\n alower=\"\"\n aistitle=False\n aisupper=False\n aisnumeric=False\n aisplural=False\n #aunder=False\n aislower=False\n aespecial=False\n else:\n alower = sent[i-1].lower()\n aistitle = sent[i-1].istitle()\n aisupper = sent[i-1].isupper()\n aisnumeric = sent[i-1].isnumeric()\n aisplural= (sent[i-1][-1:].lower() == 's')\n #aunder= (sent[i-1].find('_') >= 0)\n aislower = sent[i-1].islower()\n aespecial = (1 in [c in sent[i-1].lower() for c in especiales]),\n\n #sobre la proxima\n if i==len(sent)-1: #si es la ultima\n plower = \"\"\n pistitle = False\n pisupper = False\n pisnumeric = False\n pisplural= False\n #punder=False\n pislower = False\n pespecial = False\n else:\n plower = sent[i + 1].lower()\n pistitle = sent[i + 1].istitle()\n pisupper = sent[i + 1].isupper()\n pisnumeric = sent[i + 1].isnumeric()\n pisplural= (sent[i + 1][-1:].lower() == 's')\n #punder = (sent[i + 1].find('_') >= 0)\n pislower = sent[i + 1].islower()\n pespecial = (1 in [c in sent[i+1].lower() for c in especiales]),\n\n return {\n 'lower': palabra.lower(),\n 'istitle': palabra.istitle(),\n 'isupper': palabra.isupper(),\n 'isnumeric': palabra.isnumeric(),\n 'isplural': (palabra[-1:].lower() == 's'),\n #'under': (palabra.find('_') >= 0),\n 'islower': palabra.islower(),\n 'especial': (1 in [c in palabra.lower() for c in especiales]),\n 'alower': alower,\n 'aistitle': aistitle,\n 'aisupper': aisupper,\n 'aisnumeric': aisnumeric,\n 'aisplural': aisplural,\n #'aunder': aunder,\n 'aespecial': aespecial,\n 'aislower': aislower,\n 'plower': plower,\n 'pistitle': pistitle,\n 'pisupper': pisupper,\n 'pisnumeric': pisnumeric,\n 'pisplural': pisplural,\n #'punder': punder,\n 'pislower': pislower,\n 'pespecial': pespecial,\n }","def kmer_preprocess(filename, k):\n\tkmers = {}\n\twith open(filename) as infile:\n\t\tline = infile.readline()\n\t\tseq = \"\"\n\t\tfor line in infile:\n\t\t\tfor ch in line:\n\t\t\t\tif is_valid_char(ch):\n\t\t\t\t\tseq = seq + ch\n\t\t\t\t\tif len(seq) > k:\n\t\t\t\t\t\tseq = seq[1:]\n\t\t\t\t\tif len(seq) == k:\n\t\t\t\t\t\tif seq in kmers:\n\t\t\t\t\t\t\tkmers[seq] += 1\n\t\t\t\t\t\telse:\n\t\t\t\t\t\t\tkmers[seq] = 1\n\tpairs = sorted(kmers.items(), reverse=True, key=lambda x: x[1])\n\treturn pairs","def _featurize_py_func(text):\n label = np.array(text[-1], dtype=np.int32)\n words = word_tokenize(text[:-2])\n chars = np.zeros([max_sentence_length, max_word_length], dtype=np.int32)\n for i, word in enumerate(words):\n ids = [char_to_int.get(char, -1) for char in word]\n chars[i,:len(ids)] = ids\n return chars","def analyze_emoji_sentimens(text):\n sum = 0.0\n count = 0\n for character in list(text):\n value = index.get(character, None)\n if value != None:\n sum += value\n count += 1\n if count == 0:\n return 0.0\n\n return sum/count","def create_dictionary():\n chars = sorted(ch for ch in string.printable if ch not in (\"\\x0b\", \"\\x0c\", \"\\r\"))\n char2id = dict((ch, i + 1) for i, ch in enumerate(chars))\n char2id.update({\"\": 0})\n id2char = dict((char2id[ch], ch) for ch in char2id)\n vocab_size = len(char2id)\n id2char.update({98:'\\\\unk',99:'\\\\unk'})\n return char2id, id2char, vocab_size,chars","def get_core_nouns(df):\n\tdf = df[df.pos.str.startswith(u'名詞')\n\t\t\t\t& (df.core_frequency>0)\n\t\t\t\t& (~df.lForm.str.contains(u'■')) # Words including personal info are masked by ■, and cannot be used.\n\t\t\t\t]\n\treturn df","def shave_marks(txt):\n # Decompose all characters into base characters and combining marks\n norm_txt = normalize('NFD', txt)\n # filter out all combing marks\n shaved = \"\".join(c for c in norm_txt\n if not combining(c))\n # recompose all characters\n return normalize('NFC', shaved)","def visualise_embedding(embedding_dir, perplexity, learning_rate, image_path_name, label_mapping):\n tsne = TSNE(\n n_components=2,\n random_state=0,\n perplexity=perplexity,\n learning_rate=learning_rate,\n n_iter=20000\n )\n\n with open(embedding_dir, 'r') as emb_file:\n embedding_list = emb_file.readlines()\n\n print('Number of subword units: {}'.format(len(embedding_list)))\n\n embedding_dict = {}\n vector_emb = []\n subword_labels = []\n # TODO: Make this a clean solution\n # Start at 2 to skip the random </s> character which is coming through (may need to be 3 for Georgian)\n for embedding in embedding_list[2:]:\n segmented_embedding = embedding.split()\n subword_labels.append(label_mapping[segmented_embedding[0]])\n embedding_vector = [float(dim) for dim in segmented_embedding[1:]]\n vector_emb.append(embedding_vector)\n embedding_dict[segmented_embedding[0]] = embedding_vector\n\n emb_2d = tsne.fit_transform(vector_emb)\n\n datapoint_indices = range(len(emb_2d))\n fig, ax = plt.subplots()\n for i, subword_label in zip(datapoint_indices, subword_labels):\n ax.scatter(emb_2d[i, 0], emb_2d[i, 1], c='c', label=subword_label)\n\n\n for i, subword_label in enumerate(subword_labels):\n ax.annotate(subword_label, (emb_2d[i, 0], emb_2d[i, 1]))\n\n plt.savefig(image_path_name)\n return embedding_dict","def segment_nuclei3D_monolayer_rpb1(stack, sigma1=3, sigma_dog_big=15, \n sigma_dog_small=5, seed_window=(30,30), min_seed_dist=25, \n dilation_length=5, dilation_length_foci=10, size_min=0, \n circularity_min=0, size_max=np.inf, display=False):\n # Make max projection on Z.\n maxp = stack.max(axis=0)\n # Filter with DoG to make nuclei into blobs.\n dog = dog_filter(maxp, sigma_dog_small, sigma_dog_big)\n # Get threshold, use thresh to make initial mask and fill holes.\n t = threshold_otsu(dog)\n mask = np.where(dog > t, 1, 0)\n mask = imfill(mask)\n # Perform distance transform, find local maxima for watershed seeds.\n dist = ndi.distance_transform_edt(mask)\n seeds, _ = peak_local_max_nD(dist, size=seed_window, min_dist=min_seed_dist)\n # Smooth image and take gradient, use as input for watershed.\n im_smooth = ndi.filters.gaussian_filter(maxp, sigma=sigma1)\n grad = gradient_nD(im_smooth)\n # Make second mask of pol2 foci (presumed HLBs) by re-thresholding within nuclei.\n t_foci = threshold_otsu(im_smooth[mask.astype('bool')])\n mask_foci = np.where(im_smooth > t_foci, True, False)\n mask_foci = ndi.morphology.binary_dilation(mask_foci, structure=np.ones((dilation_length_foci, dilation_length_foci)))\n # Mask out pol2 foci in gradient.\n grad = np.where(mask_foci, 0, grad)\n # Perform watershed segmentation.\n ws = watershed(grad, seeds.astype(int))\n # Filter object size and circularity, relabel to set background to 0.\n labelmask = labelmask_filter_objsize(ws, size_min, size_max)\n # Note: object_circularity works on 3D labelmasks, requiring adding (expand_dims) and removing (squeeze) a dimension.\n labelmask = np.squeeze(filter_labelmask(np.expand_dims(labelmask, axis=0), object_circularity, circularity_min, 1000))\n labelmask = relabel_labelmask(labelmask)\n # Dilate segmented nuclei.\n labelmask = labelmask_apply_morphology(labelmask, \n mfunc=ndi.morphology.binary_dilation, \n struct=np.ones((dilation_length, dilation_length)), \n expand_size=(dilation_length + 1, dilation_length + 1))\n\n if (display):\n fig, ax = plt.subplots(3,2, figsize=(10,10))\n # Display mask.\n ax[0][0].imshow(mask)\n ax[0][0].set_title('Initial Mask')\n # Display watershed seeds.\n seeds_vis = ndi.morphology.binary_dilation(seeds, structure=np.ones((8,8)))\n ax[0][1].imshow(im_smooth, alpha=0.5)\n ax[0][1].imshow(seeds_vis, alpha=0.5)\n ax[0][1].set_title('Watershed seeds')\n # Display gradient.\n ax[1][0].imshow(grad)\n ax[1][0].set_title('Gradient')\n # Display watershed output.\n ws = relabel_labelmask(ws)\n ax[1][1].imshow(ws.astype('bool'))\n ax[1][1].set_title('Watershed')\n # Display final mask.\n ax[2][0].imshow(labelmask.astype('bool'))\n ax[2][0].set_title('Final Segmentation')\n \n # Make 2D labelmask into 3D mask by repeating.\n labelmask = np.repeat([labelmask], stack.shape[0], axis=0)\n return labelmask","def _process_char(self, c):\n\n width_index, height_index, depth_index, italic_index, tag, remainder = self._read_char_info(\n c)\n\n # Get the parameters in the corresponding tables\n if width_index != 0:\n width = self._read_fix_word_in_table(tables.width, width_index)\n else:\n width = 0\n # euex10 has this case\n # raise ValueError(\"Zero width character for character code %u\" % (c))\n\n if height_index != 0:\n height = self._read_fix_word_in_table(tables.height, height_index)\n else:\n height = 0\n\n if depth_index != 0:\n depth = self._read_fix_word_in_table(tables.depth, depth_index)\n else:\n depth = 0\n\n if italic_index != 0:\n italic_correction = self._read_fix_word_in_table(\n tables.italic_correction, italic_index)\n else:\n italic_correction = 0\n\n # Interpret the tag field\n lig_kern_program_index = None\n next_larger_char = None\n extensible_recipe = None\n if tag == LIG_TAG:\n lig_kern_program_index = remainder\n elif tag == LIST_TAG:\n next_larger_char = remainder\n elif tag == EXT_TAG:\n extensible_recipe = self._read_extensible_recipe(remainder)\n\n if extensible_recipe is not None:\n # Fixme: self registration ?\n TfmExtensibleChar(self.tfm,\n c,\n width,\n height,\n depth,\n italic_correction,\n extensible_recipe,\n lig_kern_program_index,\n next_larger_char)\n\n else:\n # Fixme: self registration ?\n TfmChar(self.tfm,\n c,\n width,\n height,\n depth,\n italic_correction,\n lig_kern_program_index,\n next_larger_char)","def findChar(self, position, spaceLength ):\n leer=0 ## numeator of empty column\n Queue=[] ##this will help in serching for neighbours of pixels\n PiksList=[] ##list of balck piksels, of with consist the charakter\n length, high = self.getSize()\n \n while (position < length and self.vLineHistogram(position)==0): #serching for a first not empty line, for given position\n position+=1\n leer+=1\n if position == length: ## check if it is Space or it is End of line\n return position, \"Enter\", 0\n elif leer>=spaceLength:\n return position, \"Space\", 0\n else:\n for i in range(0,high): ##extracting all black pixels from this line\n if self.getPixel(position, i)<128:\n Queue.append((position, i))\n PiksList.append((position, i))\n\n while len(Queue)>0:\n Piksel=Queue.pop(0) ##geting firs element from Queue\n neighbourhood=[(Piksel[0]-1, Piksel[1]+1),(Piksel[0]-1, Piksel[1]),(Piksel[0]-1, Piksel[1]-1),(Piksel[0], Piksel[1]+1),(Piksel[0], Piksel[1]-1),(Piksel[0]+1, Piksel[1]+1),(Piksel[0]+1, Piksel[1]),(Piksel[0]+1, Piksel[1]-1)]\n ##to co wyzej to lista współrzędnych sąsiadów Piksela\n\n for neighbour in neighbourhood: ##cheking neighbourhood of each pixel\n if not(neighbour in PiksList) and (neighbour[0] in range(0,length)) and (neighbour[1] in range(0,high)) and self.getPixel(neighbour[0],neighbour[1])==0:\n Queue.append(neighbour)\n PiksList.append(neighbour)\n \n PiksList.sort() ##sorts list with number of column\n\n \n PiksList=self.addHigherPiks(PiksList) ##adds all piksel over finden pixels\n PiksList.sort()\n position1,High1=PiksList[0]\n position2,High2=PiksList[len(PiksList)-1] ## geting number of smalest and biggest column in group\n charLength=position2-position1\n if len(PiksList)>5: ##checkin if there are more then 5 piksels in group to eliminate case, when there are single pixels not eliminated by initial fomating\n if charLength<high: ##check if the length of finden group of pixels isn't bigger then length of tile\n newPosition= position1+(charLength/2) ##new position in the center of finden char to eliminate case, when one char is over the second\n Char=CharFrame(high,high) ##create new CrarFrame object\n \n for el in PiksList: ##making all pixels in PiksList black in ChatFrame object and white in self(LineFrame object)\n Char.putPixel(el[0]-position1,el[1])\n self.makeWhite(el[0],el[1])\n \n Char.reScale(30,30) #scaling CharFrame to the ening size\n \n return newPosition, Char, charLength/2\n\n else: ##length of goup of pixels is too big\n PiksList, Char = reconChar(PiksList,high) ## finding where to divide group of pixels\n for Piks in PiksList:\n self.makeWhite(Piks[0],Piks[1])\n position1,High1=PiksList[0]\n position2,High2=PiksList[len(PiksList)-1] ## geting number of smalest and biggest column in group\n charLength=position2-position1\n newPosition= position1+(charLength/2) ##new position in the center of finden char to eliminate case, when one char is over the second\n return newPosition, Char, charLength/2\n else: ##if there is less then 5 pixels in group\n for el in PiksList: ##making all pixels in PiksList white in self(LineFrame object)\n self.makeWhite(el[0],el[1])\n newPosition= position1+(charLength/2)\n return newPosition, \"None\", charLength/2","def label(mi_, ma_):\n\treturn \"caractères Unicode des points de code {} à {}\".format(mi_, ma_)","def encode_segmap(self, mask):\n for voidc in self.void_labels:\n mask[mask == voidc] = self.ignore_index\n for validc in self.valid_labels:\n mask[mask == validc] = self.class_map[validc]\n # remove extra idxs from updated dataset\n mask[mask > 33] = self.ignore_index\n return mask","def nonlatin_detector(dom):\n str = domain_string(dom[0], dom[1])\n N = len(str)\n hex = [c.encode('utf-8').encode('hex') for c in list(str)]\n return float(sum([len(h)/2 for h in hex]) - N)/N","def one_hot_encoding(sequence):\n\n mydict = {\n \"A\": np.asarray([1, 0, 0, 0]),\n \"a\": np.asarray([1, 0, 0, 0]),\n \"C\": np.asarray([0, 1, 0, 0]),\n \"c\": np.asarray([0, 1, 0, 0]),\n \"G\": np.asarray([0, 0, 1, 0]),\n \"g\": np.asarray([0, 0, 1, 0]),\n \"T\": np.asarray([0, 0, 0, 1]),\n \"t\": np.asarray([0, 0, 0, 1]),\n \"Y\": np.asarray([0, 1, 0, 1]),\n \"y\": np.asarray([0, 1, 0, 1]),\n \"R\": np.asarray([1, 0, 1, 0]),\n \"r\": np.asarray([1, 0, 1, 0]),\n \"S\": np.asarray([0, 1, 1, 0]),\n \"s\": np.asarray([0, 1, 1, 0]),\n \"W\": np.asarray([1, 0, 0, 1]),\n \"w\": np.asarray([1, 0, 0, 1]),\n \"K\": np.asarray([0, 0, 1, 1]),\n \"k\": np.asarray([0, 0, 1, 1]),\n \"M\": np.asarray([1, 1, 0, 0]),\n \"m\": np.asarray([1, 1, 0, 0]),\n \"B\": np.asarray([0, 1, 1, 1]),\n \"b\": np.asarray([0, 1, 1, 1]),\n \"D\": np.asarray([1, 0, 1, 1]),\n \"d\": np.asarray([1, 0, 1, 1]),\n \"H\": np.asarray([1, 1, 0, 1]),\n \"h\": np.asarray([1, 1, 0, 1]),\n \"V\": np.asarray([1, 1, 1, 0]),\n \"v\": np.asarray([1, 1, 1, 0]),\n \"N\": np.asarray([0, 0, 0, 0]),\n \"n\": np.asarray([0, 0, 0, 0]),\n \"-\": np.asarray([0, 0, 0, 0]),\n }\n print(f\"Seq: {sequence}\")\n if len(sequence) > 0:\n nuc_list = list()\n for nuc in list(sequence):\n nuc_list.append(mydict[nuc])\n result = np.stack(np.asarray(nuc_list, dtype=\"int8\"))\n return result\n else: \n print(\"ERROR! sequence is too short\")","def _charToIndex(self,ch): \n return self.char_dict[ch]","def _profile(self, text):\n prof = zeros(len(self.alph)**self.N)\n ngs = ngrams(text, self.N)\n for tup in ngs:\n loc = 0\n for i in range(len(tup)):\n loc += (len(self.alph)**i) * self.alph.index(tup[i])\n prof[loc] += 1\n return prof","def _tokenize_chinese_chars(self, text):\n output = []\n for char in text:\n cp = ord(char)\n if self._is_chinese_char(cp):\n output.append(' ')\n output.append(char)\n output.append(' ')\n else:\n output.append(char)\n return ''.join(output)","def preprocess_txt(txt, word_index, max_txt_size=255):\n wd_list = listify_txt(txt)\n encoded = [1]\n for word in wd_list:\n if word in word_index:\n encoded.append(word_index[word])\n else:\n encoded.append(word_index[\"<UNK>\"]) \n encoded = keras.preprocessing.sequence.pad_sequences([encoded], value=word_index[\"<PAD>\"], padding=\"post\", maxlen=max_txt_size)[0]\n return encoded","def colour_code_segmentation(image, label_values):\n colour_codes = np.array(label_values)\n x = colour_codes[image.astype(int)]\n\n return x","def recognize():\n return 0","def tokenize_pt(text):\n #primeiros padrões, separação de palavra de [. , ? ! ( ) [ ] : ; ' ' \" \" ]\n return split_level_two(split_level_one(text))","def applyBiDi(text):\n storage, display = getBiDiInfo(text)\n run_lenghts = []\n for value, sub in itertools.groupby(storage['chars'], key=lambda ch: ch['level']):\n run_lenghts.append(len(list(sub)))\n assert sum(run_lenghts) == len(display)\n base_dir = storage['base_dir']\n from_bidi = [char_info['index'] for char_info in storage['chars']]\n to_bidi = [bidi_index for index, bidi_index in sorted(zip(from_bidi, range(len(text))))]\n return display, run_lenghts, base_dir, to_bidi, from_bidi","def _remove_unknown_characters(self, text):\n exist = []\n missing_chars = set([])\n for each_char in text:\n if each_char not in self.char_2_imgs:\n if each_char == '・':\n exist.append(each_char)\n else:\n missing_chars.add(each_char)\n else:\n exist.append(each_char)\n\n return ''.join(exist), missing_chars","def uCSIsKanbun(code):\n ret = libxml2mod.xmlUCSIsKanbun(code)\n return ret","def encode_one_hot2(s):\n x = np.zeros((LINE_SIZE, INPUT_VOCAB_SIZE))\n for n, c in enumerate(s):\n index = char_indices[c]\n x[n, index] = 1 \n return x","def makeCode(self, code):\n\n current_charset = None\n pos = sum = 0\n skip = False\n strCode = ''\n for c in range(len(code)):\n if skip:\n skip = False\n continue\n\n # Only switch to char set C if next four chars are digits\n if len(code[c:]) >= 4 and code[c:c + 4].isdigit() and current_charset != self.CharSetC or \\\n len(code[c:]) >= 2 and code[c:c + 2].isdigit() and current_charset == self.CharSetC:\n # If char set C = current and next two chars ar digits, keep C\n if current_charset != self.CharSetC:\n # Switching to Character set C\n if pos:\n strCode += self.ValueEncodings[current_charset['Code C']]\n sum += pos * current_charset['Code C']\n else:\n strCode = self.ValueEncodings[self.CharSetC['START C']]\n sum = self.CharSetC['START C']\n current_charset = self.CharSetC\n pos += 1\n elif code[c] in self.CharSetB and current_charset != self.CharSetB and \\\n not (code[c] in self.CharSetA and current_charset == self.CharSetA):\n # If char in chrset A = current, then just keep that\n # Switching to Character set B\n if pos:\n strCode += self.ValueEncodings[current_charset['Code B']]\n sum += pos * current_charset['Code B']\n else:\n strCode = self.ValueEncodings[self.CharSetB['START B']]\n sum = self.CharSetB['START B']\n current_charset = self.CharSetB\n pos += 1\n elif code[c] in self.CharSetA and current_charset != self.CharSetA and \\\n not (code[c] in self.CharSetB and current_charset == self.CharSetB):\n # if char in chrset B== current, then just keep that\n # Switching to Character set A\n if pos:\n strCode += self.ValueEncodings[current_charset['Code A']]\n sum += pos * current_charset['Code A']\n else:\n strCode += self.ValueEncodings[self.CharSetA['START A']]\n sum = self.CharSetA['START A']\n current_charset = self.CharSetA\n pos += 1\n\n if current_charset == self.CharSetC:\n val = self.CharSetC[code[c:c + 2]]\n skip = True\n else:\n val = current_charset[code[c]]\n\n sum += pos * val\n strCode += self.ValueEncodings[val]\n pos += 1\n\n # Checksum\n checksum = sum % 103\n\n strCode += self.ValueEncodings[checksum]\n\n # The stop character\n strCode += self.ValueEncodings[current_charset['STOP']]\n\n # Termination bar\n strCode += \"11\"\n\n return strCode","def preProcess(text):\n\ttext = text.lower() # lower case the text\n\t# Q4 replace the word with expanded contractions\n\tfor k,v in general_contraction.items():\n\t\tif k in text.split():\n\t\t\ttext = text.replace(k,v)\n\t# Q4 remove speacial char including all puncuattions and replace it with a space\n\ttext = re.sub('[^A-Za-z0-9]+',' ',text) \n\t# tokenise\n\ttokens = text.split()\n\t# stop word removal\n\ttokens = [w for w in tokens if w not in stopwords ]\n\t# Q4 Stemming\n\ttokens = [str(porter.stem(w)) for w in tokens]\n\t# if word is non-english return its english form # too much time-complexity\n\t# tokens = [porter.stem(w) if porter.stem(w) in set(words.words()) else w for w in tokens ]\n\t# for words having digits such as 12gb, 1st, etc expanding the token list\n\tfor k in tokens:\n\t\tif len(k) >2 and re.match(r'[0-9]+',k):\t\t\t\n\t\t\tif len(k) >2 and not k.isdigit():\n\t\t\t\tl = re.split(r'(\\d+)',k)\n\t\t\t\tl = [w for w in l if w is not '' ]\n\t\t\t\tif l and len(l) <= 3:\n\t\t\t\t\tfor i in l:\n\t\t\t\t\t\tif i in digit_contractions.keys():\n\t\t\t\t\t\t\tl = list(map(lambda b: b.replace(i,digit_contractions[i]), l))\n\t\t\t\t\ttokens.remove(k)\n\t\t\t\t\ttokens = tokens+l\n\t\t\t\telse:\n\t\t\t\t\ttokens.remove(k)\n\tfor k,v in digit_contractions.items():\n\t\tif k in tokens:\n\t\t\tif tokens[tokens.index(k)-1].isdigit():\t\n\t\t\t\ttokens = list(map(lambda b: b.replace(k,v), tokens))\n\t# remove tokens of size less than 2\n\ttokens = [t for t in tokens if len(t) > 2]\n\treturn tokens","def on_hot_all(self, splitted_words,max_word_lenght=26,disable_numbers=False):#all the on_hot* functions uses 0 and 1 to represent the letters\r\n array_storage=[]\r\n if self.special_characters_dic==True or None or False:\r\n raise ValueError(\"Please input a list of special characters to use this function. These dictionary should start by: 69\")\r\n else:\r\n pass\r\n self.coder=\"on_hot_encoder_with special_characters_maybe_memeory_intensiv_so_be_aware\"\r\n if disable_numbers==True:\r\n #print(type(self.special_characters_dic))\r\n if len(self.special_characters_dic)>0:\r\n array=self.create_new_array(shape=(max_word_lenght,58+len(self.special_characters_dic)+2))\r\n else:\r\n array=self.create_new_array(shape=(max_word_lenght,58+1))\r\n else:\r\n if len(self.special_characters_dic)>0:\r\n array=self.create_new_array(shape=(max_word_lenght,68+len(self.special_characters_dic)+2))\r\n else:\r\n array=self.create_new_array(shape=(max_word_lenght,68+1))\r\n for i in splitted_words:#iterate through every list\r\n #print(str(i)+\" \"+str(len(i))+\"\\n\")\r\n for letter in i:#iterate thorugh every letter in i\r\n #print(letter)\r\n if str.isupper(letter)==True and letter not in self.special_letters_dic and letter not in self.special_characters_dic: #these lines checks in wich dictionary the word is inside and figure out the matrix positions\r\n position=self.general_upper_word_list[letter]\r\n index=i.index(letter)\r\n elif str.islower(letter)==True and letter not in self.special_letters_dic and letter not in self.special_characters_dic:\r\n position=self.general_lower_word_list[letter]\r\n index=i.index(letter)\r\n elif self.special_characters_dic!=None and letter in self.special_characters_dic:\r\n position=self.special_characters_dic[letter]\r\n index=i.index(letter)\r\n elif letter in self.special_letters_dic:\r\n position=self.special_letters_dic[letter]\r\n index=i.index(letter)\r\n elif letter in self.general_numbers_dic and disable_numbers==False:\r\n position=self.general_numbers_dic[letter]\r\n index=i.index(letter)\r\n else:\r\n print(\"\\n The letter:\"+letter+\" is not known by the programm, please check your sepecial_characters dictionary\\n\")\r\n array[index,position]=1\r\n array_storage.append(array)\r\n if disable_numbers==True:\r\n if len(self.special_characters_dic)>0:\r\n array=self.create_new_array(shape=(max_word_lenght,58+len(self.special_characters_dic)+2))\r\n else:\r\n array=self.create_new_array(shape=(max_word_lenght,58+1))\r\n else:\r\n if len(self.special_characters_dic)>0:\r\n array=self.create_new_array(shape=(max_word_lenght,68+len(self.special_characters_dic)+2))#a matrix with the the lenght of all words+ the lenght of the speacial wirds dictionary\r\n\r\n else:\r\n array=self.create_new_array(shape=(max_word_lenght,68+1))\r\n return array_storage"],"string":"[\n \"def uCSIsKatakanaPhoneticExtensions(code):\\n ret = libxml2mod.xmlUCSIsKatakanaPhoneticExtensions(code)\\n return ret\",\n \"def phoc_levels(word: str, levels=DEFAULT_PHOC_LEVELS):\\n if levels <= 1:\\n return [word]\\n # cut_len = float(len(word)) / float(levels)\\n # # length of cuts\\n # regions = []\\n # c_start = 0\\n # list of strings\\n substrings = []\\n regions = [occ(i, levels) for i in range(levels)]\\n # checking for overlapping characters for each individual region\\n for reg in regions:\\n sub_str = ''\\n for idx, char in enumerate(word):\\n char_occ = occ(idx, len(word))\\n if is_occ(char_occ, reg):\\n sub_str += char\\n substrings.append(deepcopy(sub_str))\\n return phoc_levels(word, levels-1) + substrings\",\n \"def lcd_string_kana(self, message, line):\\n codes = u'線線線線線線線線線線線線線線線線 '\\\\\\n u' !\\\"#$%&()*+,-./0123456789:;<=>?@ABCDEFG'\\\\\\n u'HIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{'\\\\\\n u'|}→← '\\\\\\n u' 。「」、・ヲァィゥェォャュョッーア'\\\\\\n u'イウエオカキクケコサシスセソタチツテトナニヌネノハヒ'\\\\\\n u'フヘホマミムメモヤユヨラリルレロワン゛゜αäβεμσρq√陰ι'\\\\\\n u'×￠￡nöpqθ∞ΩüΣπxν千万円÷ 塗'\\n dic ={u'ガ':u'カ゛',u'ギ':u'キ゛',u'グ':u'ク゛',\\\\\\n u'ゲ':u'ケ゛',u'ゴ':u'コ゛',u'ザ':u'サ゛',\\\\\\n u'ジ':u'シ゛',u'ズ':u'ス゛',u'ゼ':u'セ゛',\\\\\\n u'ゾ':u'ソ゛',u'ダ':u'タ゛',u'ヂ':u'チ゛',\\\\\\n u'ヅ':u'ツ゛',u'デ':u'テ゛',u'ド':u'ト゛',\\\\\\n u'バ':u'ハ゛',u'ビ':u'ヒ゛',u'ブ':u'フ゛',\\\\\\n u'ベ':u'ヘ゛',u'ボ':u'ホ゛',u'パ':u'ハ゜',\\\\\\n u'ピ':u'ヒ゜',u'プ':u'フ゜',u'ペ':u'ヘ゜',\\\\\\n u'ポ':u'ホ゜',u'℃':u'゜C'}\\n\\n self.lcd_byte(line, LCD_CMD)\\n message2 = ''\\n for i in range(len(message)):\\n if (message[i] in dic.keys()):\\n message2 += dic[message[i]]\\n else:\\n message2 += message[i]\\n\\n for i in range(len(message2)):\\n if message2[i] == ' ':\\n self.lcd_byte(ord(message2[i]), LCD_CHR)\\n elif (codes.find(message2[i]) >= 0):\\n self.lcd_byte(codes.find(message2[i]) + 1, LCD_CHR)\\n elif (codes_han.find(message2[i]) >= 0):\\n self.lcd_byte(codes.find(message2[i]) + 1, LCD_CHR)\\n elif (message2[i] != u' '):\\n self.lcd_byte('?', LCD_CHR)\",\n \"def get_zone(text_reg):\\n posi_zone = []\\n gray_zone = []\\n for txt in text_reg:\\n x1, y1, x2, y2 = txt[0], txt[1], txt[2], txt[3]\\n x3, y3, x4, y4 = txt[4], txt[5], txt[6], txt[7]\\n line_1_2_len = np.sqrt(np.square(x1 - x2) + np.square(y1 - y2))\\n line_1_4_len = np.sqrt(np.square(x1 - x4) + np.square(y1 - y4))\\n if line_1_2_len <= line_1_4_len:\\n # short side is line_1_2\\n mid_point_1_2 = [(x1 + x2) / 2, (y1 + y2) / 2]\\n mid_point_m_1 = [(x1 + mid_point_1_2[0]) / 2, (y1 + mid_point_1_2[1]) / 2]\\n mid_point_m_2 = [(x2 + mid_point_1_2[0]) / 2, (y2 + mid_point_1_2[1]) / 2]\\n\\n mid_point_3_4 = [(x3 + x4) / 2, (y3 + y4) / 2]\\n mid_point_m_3 = [(x3 + mid_point_3_4[0]) / 2, (y3 + mid_point_3_4[1]) / 2]\\n mid_point_m_4 = [(x4 + mid_point_3_4[0]) / 2, (y4 + mid_point_3_4[1]) / 2]\\n\\n gray_zone.append([x1, y1, mid_point_m_1[0], mid_point_m_1[1], mid_point_m_4[0], mid_point_m_4[1], x4, y4])\\n gray_zone.append([mid_point_m_2[0], mid_point_m_2[1], x2, y2, x3, y3, mid_point_m_3[0], mid_point_m_3[1]])\\n posi_zone.append([mid_point_m_1[0], mid_point_m_1[1], mid_point_m_2[0], mid_point_m_2[1],\\n mid_point_m_3[0], mid_point_m_3[1], mid_point_m_4[0], mid_point_m_4[1]])\\n else:\\n # short side is line_1_4\\n mid_point_1_4 = [(x1 + x4) / 2, (y1 + y4) / 2]\\n mid_point_m_1 = [(x1 + mid_point_1_4[0]) / 2, (y1 + mid_point_1_4[1]) / 2]\\n mid_point_m_4 = [(x4 + mid_point_1_4[0]) / 2, (y4 + mid_point_1_4[1]) / 2]\\n\\n mid_point_2_3 = [(x2 + x3) / 2, (y2 + y3) / 2]\\n mid_point_m_2 = [(x2 + mid_point_2_3[0]) / 2, (y2 + mid_point_2_3[1]) / 2]\\n mid_point_m_3 = [(x3 + mid_point_2_3[0]) / 2, (y3 + mid_point_2_3[1]) / 2]\\n gray_zone.append([x1, y1, x2, y2, mid_point_m_2[0], mid_point_m_2[1], mid_point_m_1[0], mid_point_m_1[1]])\\n gray_zone.append([mid_point_m_4[0], mid_point_m_4[1], mid_point_m_3[0], mid_point_m_3[1], x3, y3, x4, y4])\\n posi_zone.append([mid_point_m_1[0], mid_point_m_1[1], mid_point_m_2[0], mid_point_m_2[1],\\n mid_point_m_3[0], mid_point_m_3[1], mid_point_m_4[0], mid_point_m_4[1]])\\n\\n return gray_zone, posi_zone\",\n \"def uCSIsKatakana(code):\\n ret = libxml2mod.xmlUCSIsKatakana(code)\\n return ret\",\n \"def kmer(text, i, k):\\r\\n return text[i:(i+k)]\",\n \"def kmer(text, i, k):\\r\\n return text[i:(i+k)]\",\n \"def preprocess_document(raw,sentence_level):\\r\\n\\r\\n\\t# raw = raw.decode(\\\"utf-8\\\")\\r\\n\\t# raw = raw.encode(\\\"ascii\\\",\\\"ignore\\\")\\r\\n\\t\\r\\n\\tfrom nltk.tokenize.punkt import PunktSentenceTokenizer, PunktParameters\\r\\n\\tparam = PunktParameters()\\r\\n\\ttokenizer = PunktSentenceTokenizer(param)\\r\\n\\tif sentence_level:\\r\\n\\t\\tsentences = tokenizer.tokenize(raw)\\r\\n\\t\\tsentences_words = list()\\r\\n\\t\\tfor s in sentences:\\r\\n\\t\\t\\tsentences_words.append((s.strip(),preprocess_sentence(s)))\\r\\n\\t\\treturn sentences_words\\r\\n\\telse:\\r\\n\\t\\treturn [(raw.strip(),preprocess_sentence(raw))]\",\n \"def uCSIsCJKSymbolsandPunctuation(code):\\n ret = libxml2mod.xmlUCSIsCJKSymbolsandPunctuation(code)\\n return ret\",\n \"def pascal_segmentation_lut():\\n\\n classes_lut = dict([(0, 'background'), (255, 'teeth')])\\n\\n return classes_lut\",\n \"def _chinese_whispers(encoding_list, threshold=0.92, iterations=20):\\n\\n #from face_recognition.api import _face_distance\\n from random import shuffle\\n import networkx as nx\\n # Create graph\\n nodes = []\\n edges = []\\n\\n image_paths, encodings = zip(*encoding_list)\\n\\n if len(encodings) <= 1:\\n print (\\\"No enough encodings to cluster!\\\")\\n return []\\n\\n for idx, face_encoding_to_check in enumerate(encodings):\\n # Adding node of facial encoding\\n node_id = idx+1\\n\\n # Initialize 'cluster' to unique value (cluster of itself)\\n node = (node_id, {'cluster': image_paths[idx], 'path': image_paths[idx]})\\n nodes.append(node)\\n\\n # Facial encodings to compare\\n if (idx+1) >= len(encodings):\\n # Node is last element, don't create edge\\n break\\n\\n compare_encodings = encodings[idx+1:]\\n distances = face_distance(compare_encodings, face_encoding_to_check)\\n encoding_edges = []\\n for i, distance in enumerate(distances):\\n if distance > threshold:\\n # Add edge if facial match\\n edge_id = idx+i+2\\n encoding_edges.append((node_id, edge_id, {'weight': distance}))\\n\\n edges = edges + encoding_edges\\n\\n G = nx.Graph()\\n G.add_nodes_from(nodes)\\n G.add_edges_from(edges)\\n\\n # Iterate\\n for _ in range(0, iterations):\\n cluster_nodes = G.nodes()\\n shuffle(list(cluster_nodes))\\n for node in cluster_nodes:\\n neighbors = G[node]\\n clusters = {}\\n\\n for ne in neighbors:\\n if isinstance(ne, int):\\n if G.node[ne]['cluster'] in clusters:\\n clusters[G.node[ne]['cluster']] += G[node][ne]['weight']\\n else:\\n clusters[G.node[ne]['cluster']] = G[node][ne]['weight']\\n\\n # find the class with the highest edge weight sum\\n edge_weight_sum = 0\\n max_cluster = 0\\n #use the max sum of neighbor weights class as current node's class\\n for cluster in clusters:\\n if clusters[cluster] > edge_weight_sum:\\n edge_weight_sum = clusters[cluster]\\n max_cluster = cluster\\n\\n # set the class of target node to the winning local class\\n G.node[node]['cluster'] = max_cluster\\n\\n clusters = {}\\n\\n # Prepare cluster output\\n for (_, data) in G.node.items():\\n cluster = data['cluster']\\n path = data['path']\\n\\n if cluster:\\n if cluster not in clusters:\\n clusters[cluster] = []\\n clusters[cluster].append(path)\\n\\n # Sort cluster output\\n sorted_clusters = sorted(clusters.values(), key=len, reverse=True)\\n\\n return sorted_clusters\",\n \"def encode_segmap(self, mask):\\n mask = mask.astype(int)\\n label_mask = np.zeros((mask.shape[0], mask.shape[1]), dtype=np.int16)\\n for ii, label in enumerate(self.get_pascal_labels()):\\n label_mask[np.where(np.all(mask == label, axis=-1))[:2]] = ii\\n label_mask = label_mask.astype(int)\\n return label_mask\",\n \"def surface_segment_data_preparation(word_dictionary: {str, str}):\\n X = []\\n Y = []\\n words = []\\n for word in word_dictionary:\\n word_list = []\\n word_label_list = []\\n for i in range(len(word)):\\n gram_dict = {}\\n gram_arr = []\\n\\n ### Unigram\\n # gram_dict[word[i]] = 1\\n gram_dict[\\\"uni_\\\" + word[i]] = 1\\n gram_arr.append(word[i])\\n\\n ### BIGRAM\\n try:\\n tmp = word[i - 1: i + 1]\\n if tmp:\\n # gram_dict[tmp] = 1\\n if len(tmp) == 2:\\n gram_dict[\\\"bi_\\\" + tmp] = 1\\n gram_arr.append(tmp)\\n except IndexError:\\n continue\\n try:\\n tmp = word[i: i + 2]\\n if tmp:\\n # gram_dict[tmp] = 1\\n if len(tmp) == 2:\\n gram_dict[\\\"bi_\\\" + tmp] = 1\\n gram_arr.append(tmp)\\n except IndexError:\\n continue\\n\\n ### TRIGRAM\\n try:\\n tmp = word[i - 1: i + 2]\\n if tmp:\\n # gram_dict[tmp] = 1\\n if len(tmp) == 3:\\n gram_dict[\\\"tri_\\\" + tmp] = 1\\n gram_arr.append(tmp)\\n except IndexError:\\n continue\\n\\n ## FourGram\\n try:\\n tmp = word[i - 1: i + 3]\\n if tmp:\\n # gram_dict[tmp] = 1\\n if len(tmp) == 4:\\n gram_dict[\\\"four_\\\" + tmp] = 1\\n gram_arr.append(tmp)\\n except IndexError:\\n continue\\n\\n try:\\n tmp = word[i - 2: i + 2]\\n if tmp:\\n # gram_dict[tmp] = 1\\n if len(tmp) == 4:\\n gram_dict[\\\"four_\\\" + tmp] = 1\\n gram_arr.append(tmp)\\n except IndexError:\\n continue\\n\\n ## FiveGram\\n try:\\n tmp = word[i - 2: i + 3]\\n if tmp:\\n # gram_dict[tmp] = 1\\n if len(tmp) == 5:\\n gram_dict[\\\"five_\\\" + tmp] = 1\\n gram_arr.append(tmp)\\n except IndexError:\\n continue\\n\\n ## SixGram\\n try:\\n tmp = word[i - 3: i + 3]\\n if tmp:\\n if len(tmp) == 6:\\n # gram_dict[tmp] = 1\\n gram_dict[\\\"six_\\\" + tmp] = 1\\n gram_arr.append(tmp)\\n except IndexError:\\n continue\\n\\n try:\\n tmp = word[i - 2: i + 4]\\n if tmp:\\n if len(tmp) == 6:\\n # gram_dict[tmp] = 1\\n gram_dict[\\\"six_\\\" + tmp] = 1\\n gram_arr.append(tmp)\\n except IndexError:\\n continue\\n\\n if word[i] in 'aeiou':\\n gram_dict[\\\"vowel\\\"] = 1\\n else:\\n gram_dict[\\\"const\\\"] = 1\\n\\n if word[i].isupper():\\n gram_dict[\\\"upper\\\"] = 1\\n else:\\n gram_dict[\\\"lower\\\"] = 1\\n\\n word_list.append(gram_dict)\\n word_label_list.append(word_dictionary[word][i])\\n\\n X.append(word_list)\\n Y.append(word_label_list)\\n words.append([char for char in word])\\n return X, Y, words\",\n \"def encode(self, text):\\r\\n\\r\\n text = unicodedata.normalize(\\\"NFKD\\\", text).encode(\\\"ASCII\\\", \\\"ignore\\\").decode(\\\"ASCII\\\")\\r\\n text = \\\" \\\".join(text.split())\\r\\n\\r\\n groups = [\\\"\\\".join(group) for _, group in groupby(text)]\\r\\n text = \\\"\\\".join([self.UNK_TK.join(list(x)) if len(x) > 1 else x for x in groups])\\r\\n encoded = []\\r\\n\\r\\n for item in text:\\r\\n index = self.chars.find(item)\\r\\n index = self.UNK if index == -1 else index\\r\\n encoded.append(index)\\r\\n\\r\\n return np.asarray(encoded)\",\n \"def _generate_character_map(self):\\n self._ct = [-1] * 256\\n index = 0\\n for c_range in self._meta.character_ranges:\\n for c_pos in range(c_range['min'], c_range['max'] + 1):\\n self._ct[c_pos] = index\\n index += 1\",\n \"def preprocess_morpheme(self):\\n self.char_to_id, self.unk_char_list = self.build_vocab(mode=\\\"char\\\")\\n self.morpheme_to_id, self.unk_morph_list, self.max_morph_per_word = self.build_morpheme_vocab()\\n for ch in self.char_to_id:\\n if ch not in self.morpheme_to_id:\\n self.morpheme_to_id[ch] = len(self.morpheme_to_id)\\n self.subword_vocab_size = len(self.morpheme_to_id)\\n with open(self.sub_vocab_file, 'wb') as f:\\n pickle.dump((self.morpheme_to_id, self.unk_char_list, self.unk_morph_list, self.max_morph_per_word), f)\",\n \"def encode_this( self, charCode ):\\n values = []\\n # Character Bitmap\\n bmp = self.characters[charCode]\\n # Nbre of entry in the dictionnary = Character width\\n nbr_entry = bmp.width\\n # Number of bytes per entry (=font height / 8bits.)\\n # Vera_19 = 19 point height => 19/8 = 2.375 => must be coded on 3 bytes\\n nbr_bytes = ceil(self.max_height / 8)\\n if ((self.max_height%8) == 0): # Encoded font must always starts with 0b1, so if the font has 8 points height (or a multiple)\\n nbr_bytes += 1 # we have to create more room to receive that bit.\\n nbr_bits = nbr_bytes * 8\\n\\n # If we are coding 19 bits on X bytes, we will have to pad the left most\\n # bits with 1\\n pad_bits = nbr_bits - self.max_height\\n pad_value = 0\\n for i in range( pad_bits ):\\n # debug: print( 'shift by %i' % (nbr_bits-1-i) )\\n pad_value = pad_value + ( 1<<(nbr_bits-1-i))\\n\\n # Building the values\\n for iw in range( bmp.width ):\\n value = pad_value\\n # Debug: print( '---------------------------' )\\n for ih in range( bmp.height ):\\n _ih = bmp.height-1-ih # Must start by the \\\"bottom\\\" of the character\\n\\n # Align on the BottomLine\\n _height_extra_shift = self.max_height-bmp.height # The character may have 10 pixels height on a 19 point height font --> shift properly to the left!\\n\\n # Align on the BaseLine (if it applies)\\n # check if we do need to insert a descender space (in pixel) under the character\\n if ( len(self.descender_ordinals)>0 ) and not( self.char_has_descender( charCode ) ):\\n # move up the normal character baseline\\n _height_extra_shift = _height_extra_shift - self.ajusted_descender_size( charCode )\\n\\n # SPECIAL ALIGNMENT\\n # check for special alignment instruction (~,comma,\\\", etc)\\n _align = self.special_align_ordinals.get( charCode, None )\\n if _align == 'T':\\n # special alignment ON TOP -> reset shifting\\n _height_extra_shift = 0\\n elif _align == 'M':\\n # Special alignment IN MIDLLE of baseline and top\\n _height_extra_shift = _height_extra_shift - ( self.max_height-bmp.height-self.ajusted_descender_size( charCode ))//2\\n elif _align == 'B':\\n # Specoam alignment TO BOTTOM (so re-reset the _height_extra_shift on the BottomLine)\\n _height_extra_shift = self.max_height-bmp.height\\n\\n # TODO: replacing the descender feature by glyph.bitmap_top does not work properly\\n # for every characters\\n # _height_extra_shift = self.max_height - self.glyphs[ charCode ].bitmap_top\\n\\n # print( 'coding bit %i, extra shift of %i FOR VALUE %s' % (_ih, _height_extra_shift, bmp.pixel_at( iw, _ih )) )\\n if bmp.pixel_at( iw, _ih ):\\n value = value + (1 << (_ih+_height_extra_shift))\\n values.append( value )\\n\\n\\n return values\",\n \"def getCharMapping(tweets):\\n text = map(lambda x: x.getText(), tweets)\\n allChars = [c for s in text for c in s]\\n x = collections.Counter(allChars)\\n chars_used = x.most_common()[:max_chars]\\n charset = map(lambda x: x[0], chars_used)\\n # Add padding, start, end and unknown characters\\n mapping = dict((c, i) for i, c in enumerate(charset + ['<s>', '</s>', '<pad>', '<unknown>', '<unknown_test>']))\\n dump(mapping, open(char_mapping_filename, 'wb'))\\n return mapping\",\n \"def uCSIsCJKUnifiedIdeographs(code):\\n ret = libxml2mod.xmlUCSIsCJKUnifiedIdeographs(code)\\n return ret\",\n \"def map2mw_C(d,k1,entry):\\n if k1 in map2mw_special_C:\\n return map2mw_special_C[k1]\\n regexes = [\\n u'<ab>c.</ab> de {%(.*?)%}',\\n u'<ab>c.</ab> {%(.*?)%}',\\n #u'<ab>c.</ab> du <ab>c.</ab> de {%(.*?)%}',\\n\\n ]\\n line = entry.datalines[0] # first line of entry in bur.txt\\n for regex in regexes:\\n m = re.search(regex,line)\\n if m:\\n root = m.group(1) # root in \\n root_slp1=roman_slp1_mw(root,'verb',d)\\n if root_slp1 != None:\\n return root_slp1\\n\\n return '?'\",\n \"def convert_text(text):\\n global indic_char_map\\n\\n text_length = len(text)\\n roman_tokens = []\\n phonetic_tokens = []\\n\\n if indic_char_map is None:\\n indic_char_map = load_mapping_tables()\\n\\n for i in range(text_length):\\n current_char = text[i]\\n\\n if current_char == ' ':\\n roman_tokens.append(' ')\\n phonetic_tokens.append(' ')\\n continue\\n try:\\n current_char_map = indic_char_map[current_char]\\n except KeyError:\\n # Unknown indic character. Default to printing it out as\\n # it is. Assume it can't be pronounced.\\n roman_tokens.append(current_char)\\n continue\\n\\n current_char_type = current_char_map['char_type']\\n current_char_roman_form = current_char_map['roman_form']\\n current_char_phonetic_form = current_char_map['phonetic_form']\\n\\n if current_char_type in ('i', 'x'):\\n # Ignore\\n continue\\n\\n elif current_char_type == 'p':\\n # Punctuation\\n roman_tokens.append(current_char_roman_form)\\n\\n elif current_char_type in ('fv', 'v', 'n', 'd'):\\n # Simple mapping\\n roman_tokens.append(current_char_roman_form)\\n phonetic_tokens.append(current_char_phonetic_form)\\n\\n elif current_char_type == 'ag':\\n # Vowel lengthener\\n\\n # If previous character was a vowel (but not full vowel),\\n # repeat it in phonetic form, not in romanized\\n # form. Otherwise ignore this char\\n\\n if i > 0:\\n prev_char = text[i - 1]\\n try:\\n prev_char_map = indic_char_map[prev_char]\\n except KeyError:\\n # Ignore error\\n continue\\n prev_char_type = prev_char_map['char_type']\\n prev_char_phonetic_form = prev_char_map['phonetic_form']\\n if prev_char_type == 'v':\\n phonetic_tokens.append(prev_char_phonetic_form)\\n\\n elif current_char_type == 'gn':\\n # Context dependent nasal\\n if i == text_length - 1:\\n # current char is last char\\n roman_tokens.append('m')\\n phonetic_tokens.append('m')\\n else:\\n next_char = text[i + 1]\\n try:\\n next_char_map = indic_char_map[next_char]\\n except KeyError:\\n roman_tokens.append('m')\\n phonetic_tokens.append('m')\\n continue\\n next_char_roman_form = next_char_map['roman_form']\\n next_char_roman_beginning = next_char_roman_form[0]\\n if next_char_roman_beginning in \\\"kg\\\":\\n roman_tokens.append('n')\\n phonetic_tokens.append('ng')\\n elif next_char_roman_beginning in \\\"cjtdn\\\":\\n roman_tokens.append('n')\\n phonetic_tokens.append('n')\\n else:\\n roman_tokens.append('m')\\n phonetic_tokens.append('m')\\n\\n elif current_char_type == 'c':\\n try:\\n next_char = text[i + 1]\\n except IndexError:\\n # We are already at last character\\n roman_tokens.append(current_char_roman_form)\\n phonetic_tokens.append(current_char_phonetic_form)\\n\\n end_v, end_p = determine_inherent_ending_vowel(\\n current_char_type,\\n current_char)\\n\\n if end_v:\\n roman_tokens.extend(end_v)\\n if end_p:\\n phonetic_tokens.extend(end_p)\\n\\n continue\\n\\n try:\\n next_char_map = indic_char_map[next_char]\\n except KeyError:\\n roman_tokens.append(current_char_roman_form)\\n phonetic_tokens.append(current_char_phonetic_form)\\n\\n end_v, end_p = determine_inherent_ending_vowel(\\n current_char_type,\\n current_char)\\n\\n if end_v:\\n roman_tokens.extend(end_v)\\n if end_p:\\n phonetic_tokens.extend(end_p)\\n continue\\n\\n next_char_type = next_char_map['char_type']\\n if next_char_type in ('v', 'x', 'p', 'i') or next_char in \\\" .,\\\":\\n roman_tokens.append(current_char_roman_form)\\n phonetic_tokens.append(current_char_phonetic_form)\\n else:\\n # No vowel coming up next, so add one\\n roman_tokens.extend([current_char_roman_form, 'a'])\\n phonetic_tokens.extend([current_char_phonetic_form, 'ah0'])\\n else:\\n print(\\\"Unknown char type: %s\\\" % current_char_type, file=sys.stderr)\\n sys.exit(1)\\n\\n roman_text = ''.join(roman_tokens)\\n phonetic_text = ' '.join(phonetic_tokens)\\n\\n return {'roman_form': roman_text,\\n 'phonetic_form': phonetic_text}\",\n \"def findPronunciation(data: str, word: str) -> str:\\n # 2 cases\\n # if kotoba, then pronunciation will start with a ?\\n # if kanji, then multiple pronunciation starting from 〗\\n # for kotoba\\n # showMessage(len(word))\\n\\n if len(word) != 1:\\n string = '?'\\n\\n else:\\n # locate 〗\\n start = find(data, '】')\\n # get the first index\\n start = min(start)\\n\\n # now check to see if string after 〗is (\\n if data[start+1] == \\\"(\\\":\\n string = \\\")\\\"\\n else:\\n string = \\\"】\\\"\\n\\n\\n # find the indices for start and end\\n indStart = find(data, string)\\n indEnd = find(data, '\\\\n')\\n # we can assume the first index is the correct index for indStart\\n indStart = indStart[0]\\n # now find the closest index that is larger than indStart\\n possibleIndEnd = [ind for ind in indEnd if ind > indStart]\\n absolute_difference_function = lambda list_value: abs(list_value - indStart)\\n indEnd = min(possibleIndEnd, key=absolute_difference_function)\\n\\n # get pronunciation\\n pronunciation = data[indStart+1:indEnd]\\n\\n # lastly, get rid of spaces\\n pronunciation = pronunciation.replace(\\\" \\\", \\\"\\\")\\n\\n # if kanji, we need to separate into 2 sections\\n if len(word) == 1:\\n # for onyomi\\n # find all strings that are katakana\\n regex = {\\\"from\\\": ord(u\\\"\\\\u30a0\\\"), \\\"to\\\": ord(u\\\"\\\\u30ff\\\")}\\n kata = [regex[\\\"from\\\"] <= ord(pronunciation[i]) <= regex[\\\"to\\\"] for i in range(len(pronunciation))]\\n # find all the places that are listed as TRUE\\n indOn = find(kata, True)\\n # now find min and max of the indices\\n indStart = min(indOn)\\n indEnd = max(indOn)\\n onyomi = pronunciation[indStart:indEnd+1]\\n # lastly, replace any ・ with ,\\n onyomi.replace('・', '、')\\n\\n # for kunyomi\\n # find all strings that are hiragana\\n regex = {'from': ord(u'\\\\u3040'), 'to': ord(u'\\\\u309f')}\\n hira = [regex[\\\"from\\\"] <= ord(pronunciation[i]) <= regex[\\\"to\\\"] for i in range(len(pronunciation))]\\n # find all the places that are listed as TRUE\\n indHi = find(hira, True)\\n # now find min and max of the indices\\n indStart = min(indHi)\\n indEnd = max(indHi)\\n kunyomi = pronunciation[indStart:indEnd+1]\\n # lastly, replace any ・ with ,\\n kunyomi.replace('・', '、')\\n\\n # lastly combine the 2 strings\\n pronunciation = f\\\"[音] {onyomi}\\\\n[訓] {kunyomi}\\\"\\n\\n\\n return pronunciation\",\n \"def labels_to_cityscapes_palette(image):\\n classes=ZHANG_classes \\n result =np.zeros((img.shape[0], img.shape[1], 3),dtype=np.uint8)\\n for key, value in classes.items():\\n result[np.where(img == key)] = value\\n return result\",\n \"def uCSIsCJKCompatibilityIdeographs(code):\\n ret = libxml2mod.xmlUCSIsCJKCompatibilityIdeographs(code)\\n return ret\",\n \"def Morse2English():\\r\\n \\r\\n count = 1\\r\\n excp = True\\r\\n excp2 = True\\r\\n excp3 = True\\r\\n global tree\\r\\n global root\\r\\n \\r\\n # creating the binary tree with the letters and symbols from the MorseTable file\\r\\n # also, if the variable tree is false, it means that the user have not used the Morse2English function yet, so,\\r\\n ## we need to create the binary tree, otherwise, if it is true, the user have already created the tree,\\r\\n ## so it is not necessary to create it again\\r\\n # But, if the use changed the morse symbols, it is necessary to clean the tree and build it again\\r\\n \\r\\n if newM:\\r\\n Morse_Table = open('new_MorseTable.txt','r')\\r\\n else:\\r\\n if not tree:\\r\\n try:\\r\\n Morse_Table = open('MorseTable.txt','r')\\r\\n except:\\r\\n shell_connect.write('MorseTable.txt not found. Download it to continue.\\\\n','COMMENT')\\r\\n excp3 = False\\r\\n if excp3:\\r\\n if not tree:\\r\\n # for each line (which has a letter and a morse code), insert the letter into the binary tree using the morse code as a path\\r\\n for line in Morse_Table:\\r\\n root.insert(line[2:-1],line[0])\\r\\n Morse_Table.close()\\r\\n tree = True\\r\\n #c_m2e = False\\r\\n ## take the name of the file (with morse code) to translate the code into english letters\\r\\n #try until the user enter a file that exists\\r\\n while True:\\r\\n try:\\r\\n filename = input('Please, write the name of the file (with extension) which has the morse code: \\\\n')\\r\\n hidden_morse_file = open(filename,'r')\\r\\n break\\r\\n except:\\r\\n shell_connect.write('File does not exist, try again.\\\\n','COMMENT')\\r\\n # creates the file which is going to have the message in english letters\\r\\n unhide_letter_file = open(filename[:-4]+'_unhidden.txt','w')\\r\\n # for each line of the file, take each morse code \\\"path\\\", for each morse code \\\"path\\\", go to the binary tree and\\r\\n # find which letter that morse code path represents\\r\\n # Invariant: line is always less than or equal to the number of lines in hidden_morse_file\\r\\n for line in hidden_morse_file:\\r\\n while line[0] == ' ':\\r\\n unhide_letter_file.write(' ')\\r\\n line = line[1:]\\r\\n morse_letter = line.split(' ')\\r\\n morse_letter[-1] = morse_letter[-1][:-1]\\r\\n if morse_letter != ['']:\\r\\n # if the user made a mistake and chose a file which is already in english letters, an error message is shown\\r\\n if morse_letter[0][0] == var1 or morse_letter[0][0] == var2 or morse_letter[0][0] == '*':\\r\\n # for each dot/dash in the file, go to the binary tree and find what the correspondent\\r\\n # letter is and write it in the new file\\r\\n # Invariant: hidden_letter_path is always less than or equal to the number of dashes and dots in morse_letter\\r\\n for hidden_letter_path in morse_letter:\\r\\n try:\\r\\n if hidden_letter_path != '':\\r\\n # if it has a '*' symbol in front, print the letter capitalized\\r\\n if hidden_letter_path [0] != '*':\\r\\n unhide_letter_file.write(root.find_letter(hidden_letter_path))\\r\\n else:\\r\\n new_letter = root.find_letter(hidden_letter_path[1:])\\r\\n unhide_letter_file.write(new_letter.upper())\\r\\n else:\\r\\n count += 1\\r\\n if count%2 == 0:\\r\\n # that's the end of a word, print one space\\r\\n unhide_letter_file.write(' ')\\r\\n else:\\r\\n pass\\r\\n except:\\r\\n # morse code not found\\r\\n shell_connect.write('Morse code not found.\\\\n','COMMENT')\\r\\n excp2 = False\\r\\n break\\r\\n excpwhy = 'Something is wrong with the morse code.'\\r\\n unhide_letter_file.write('\\\\n')\\r\\n excp = True\\r\\n else:\\r\\n excp = False\\r\\n shell_connect.write('\\\\nThis is not a morse code file!\\\\n','COMMENT')\\r\\n excpwhy = 'The file is not a morse code file.'\\r\\n break\\r\\n else:\\r\\n unhide_letter_file.write('\\\\n')\\r\\n hidden_morse_file.close()\\r\\n unhide_letter_file.close()\\r\\n if excp:\\r\\n if excp2:\\r\\n shell_connect.write('\\\\nMorse to English sucessful!','STRING')\\r\\n else:\\r\\n shell_connect.write('\\\\nMorse to English partially sucessful, some morse codes not found were ignored.','KEYWORD')\\r\\n print('\\\\nThe file {} was created.'.format(filename[:-4]+'_unhidden.txt'))\\r\\n else:\\r\\n shell_connect.write('\\\\nMorse to English failed. {}\\\\n'.format(excpwhy),'COMMENT')\",\n \"def get_cruftmoji(percentage):\\n level = [\\n # Master\\n (\\\"\\\\xf0\\\\x9f\\\\x99\\\\x8f \\\\xf0\\\\x9f\\\\x8d\\\\xbb \\\\xf0\\\\x9f\\\\x8d\\\\x95 \\\\xf0\\\\x9f\\\\x91\\\\xbe \\\"\\n \\\"\\\\xf0\\\\x9f\\\\x8d\\\\x95 \\\\xf0\\\\x9f\\\\x8d\\\\xbb \\\\xf0\\\\x9f\\\\x99\\\\x8f\\\"),\\n # Snakes on a Plane\\n \\\"\\\\xf0\\\\x9f\\\\x90\\\\x8d \\\\xf0\\\\x9f\\\\x90\\\\x8d \\\\xe2\\\\x9c\\\\x88\\\\xef\\\\xb8\\\\x8f\\\",\\n # Furry Hat Pizza Party\\n \\\"\\\\xf0\\\\x9f\\\\x8d\\\\x95 \\\\xf0\\\\x9f\\\\x92\\\\x82 \\\\xf0\\\\x9f\\\\x8d\\\\x95\\\",\\n \\\"\\\\xf0\\\\x9f\\\\x91\\\\xbb\\\", # Ghost\\n \\\"\\\\xf0\\\\x9f\\\\x92\\\\xa3\\\", # The Bomb\\n \\\"\\\\xf0\\\\x9f\\\\x90\\\\xa9 \\\\xf0\\\\x9f\\\\x92\\\\xa8\\\", # Poodle Fart\\n \\\"\\\\xf0\\\\x9f\\\\x92\\\\x80\\\", # Skull\\n \\\"\\\\xf0\\\\x9f\\\\x93\\\\xbc\\\", # VHS Cassette\\n \\\"\\\\xf0\\\\x9f\\\\x8c\\\\xb5\\\", # Cactus\\n \\\"\\\\xf0\\\\x9f\\\\x92\\\\xa9\\\", # Smiling Poo\\n \\\"\\\\xf0\\\\x9f\\\\x92\\\\xa9 \\\" * 3] # Smiling Poo (For 100%)\\n return level[int(percentage * 10)].decode(\\\"utf-8\\\")\",\n \"def preprocess(text):\\n text = remove_space(text)\\n text = clean_special_punctuations(text)\\n text = handle_emojis(text)\\n text = clean_number(text)\\n text = spacing_punctuation(text)\\n text = clean_repeat_words(text)\\n text = remove_space(text)\\n #text = stop(text)# if changing this, then chnage the dims \\n #(not to be done yet as its effecting the embeddings..,we might be\\n #loosing words)...\\n return text\",\n \"def kmer_composition(k, text):\\r\\n # TODO: your code here\\r\\n d = {}\\r\\n for i in range(len(text)-k+1):\\r\\n print(text[i:k+i])\\r\\n ''' \\r\\n if(text[i:k+i] in d.keys()):\\r\\n d[text[i:k+i]] += 1\\r\\n else:\\r\\n d[text[i:k+i]] = 1\\r\\n print(d)\\r\\n '''\",\n \"def hierarchy_code_volume_by_characters(self, chart=\\\"sunburst\\\"):\\n\\n title = chart + _(' chart of counts of coded text - total characters')\\n owner, subtitle = self.owner_and_subtitle_helper()\\n # Get all the coded data\\n case_file_name, file_ids = self.get_file_ids()\\n if case_file_name != \\\"\\\":\\n subtitle += case_file_name\\n coded_data = []\\n cur = self.app.conn.cursor()\\n sql = \\\"select cid, pos1-pos0 from code_text where owner like ?\\\"\\n if file_ids != \\\"\\\":\\n sql = \\\"select cid, pos1-pos0 from code_text where owner like ?and fid\\\" + file_ids\\n cur.execute(sql, [owner])\\n result = cur.fetchall()\\n for row in result:\\n coded_data.append(row)\\n # Calculate the frequency of each code\\n for code_ in self.codes:\\n for coded_item in coded_data:\\n if coded_item[0] == code_['cid']:\\n code_['count'] += coded_item[1]\\n # Add the code count directly to each parent category, add parentname to each code\\n for category in self.categories:\\n for code_ in self.codes:\\n if code_['catid'] == category['catid']:\\n category['count'] += code_['count']\\n code_['parentname'] = category['name']\\n # Find leaf categories, add to parent categories, and gradually remove leaves\\n # Until only top categories remain\\n sub_categories = copy(self.categories)\\n counter = 0\\n while len(sub_categories) > 0 or counter < 5000:\\n # Identify parent categories\\n parent_list = []\\n for super_cat in sub_categories:\\n for child_cat in sub_categories:\\n if super_cat['catid'] == child_cat['supercatid']:\\n child_cat['parentname'] = super_cat['name']\\n parent_list.append(super_cat)\\n # Identify leaf categories\\n leaf_list = []\\n for category in sub_categories:\\n if category not in parent_list:\\n leaf_list.append(category)\\n # Add counts for each leaf category to higher category\\n for leaf_category in leaf_list:\\n for cat in self.categories:\\n if cat['catid'] == leaf_category['supercatid']:\\n cat['count'] += leaf_category['count']\\n sub_categories.remove(leaf_category)\\n counter += 1\\n combined = self.categories + self.codes\\n items = []\\n values = []\\n parents = []\\n for sb_combined in combined:\\n items.append(sb_combined['name'])\\n values.append(sb_combined['count'])\\n parents.append(sb_combined['parentname'])\\n # Create pandas DataFrame and Figure\\n data = {'item': items, 'value': values, 'parent': parents}\\n df = pd.DataFrame(data)\\n cutoff = self.ui.lineEdit_filter.text()\\n mask = df['value'] != 0\\n if cutoff != \\\"\\\":\\n mask = df['value'] >= int(cutoff)\\n subtitle += _(\\\"Values\\\") + \\\" >= \\\" + cutoff\\n if chart == \\\"sunburst\\\":\\n fig = px.sunburst(df[mask], names='item', parents='parent', values='value',\\n title=title + subtitle)\\n fig.show()\\n self.helper_export_html(fig)\\n if chart == \\\"treemap\\\":\\n fig = px.treemap(df[mask], names='item', parents='parent', values='value',\\n title=title + subtitle)\\n fig.show()\\n self.helper_export_html(fig)\",\n \"def colorMap(self, char):\\n return {\\n #'.': 'sienna',\\n #'G': 'sienna',\\n '.': 'moccasin',\\n 'G': 'moccasin',\\n 'O': 'black',\\n '@': 'black',\\n 'S': 'OliveDrab1',\\n 'T': 'green4',\\n 'W': 'SkyBlue3',\\n 'k': 'green3',\\n 'D': 'red'\\n }[char]\",\n \"def __init__(self, encoding):\\n self.trans = {}\\n for char in u\\\"ÀÁÂẦẤẪẨẬÃĀĂẰẮẴẶẲȦǠẠḀȂĄǍẢ\\\":\\n self.trans[char] = u\\\"A\\\"\\n for char in u\\\"ȀǞ\\\":\\n self.trans[char] = u\\\"Ä\\\"\\n self.trans[u\\\"Ǻ\\\"] = u\\\"Å\\\"\\n self.trans[u\\\"Ä\\\"] = u\\\"Ae\\\"\\n self.trans[u\\\"Å\\\"] = u\\\"Aa\\\"\\n for char in u\\\"àáâầấẫẩậãāăằắẵặẳȧǡạḁȃąǎảẚ\\\":\\n self.trans[char] = u\\\"a\\\"\\n for char in u\\\"ȁǟ\\\":\\n self.trans[char] = u\\\"ä\\\"\\n self.trans[u\\\"ǻ\\\"] = u\\\"å\\\"\\n self.trans[u\\\"ä\\\"] = u\\\"ae\\\"\\n self.trans[u\\\"å\\\"] = u\\\"aa\\\"\\n for char in u\\\"ḂḄḆƁƂ\\\":\\n self.trans[char] = u\\\"B\\\"\\n for char in u\\\"ḃḅḇƀɓƃ\\\":\\n self.trans[char] = u\\\"b\\\"\\n for char in u\\\"ĆĈĊÇČƇ\\\":\\n self.trans[char] = u\\\"C\\\"\\n for char in u\\\"ćĉċçčƈȼ\\\":\\n self.trans[char] = u\\\"c\\\"\\n self.trans[u\\\"Ḉ\\\"] = u\\\"Ç\\\"\\n self.trans[u\\\"ḉ\\\"] = u\\\"ç\\\"\\n self.trans[u\\\"Ð\\\"] = u\\\"Dh\\\"\\n self.trans[u\\\"ð\\\"] = u\\\"dh\\\"\\n for char in u\\\"ĎḊḌḎḐḒĐƉƊƋ\\\":\\n self.trans[char] = u\\\"D\\\"\\n for char in u\\\"ďḋḍḏḑḓđɖɗƌ\\\":\\n self.trans[char] = u\\\"d\\\"\\n for char in u\\\"ÈȄÉÊḚËĒḔḖĔĖẸE̩ȆȨḜĘĚẼḘẺ\\\":\\n self.trans[char] = u\\\"E\\\"\\n for char in u\\\"ỀẾỄỆỂ\\\":\\n self.trans[char] = u\\\"Ê\\\"\\n for char in u\\\"èȅéêḛëēḕḗĕėẹe̩ȇȩḝęěẽḙẻ\\\":\\n self.trans[char] = u\\\"e\\\"\\n for char in u\\\"ềếễệể\\\":\\n self.trans[char] = u\\\"ê\\\"\\n for char in u\\\"ḞƑ\\\":\\n self.trans[char] = u\\\"F\\\"\\n for char in u\\\"ḟƒ\\\":\\n self.trans[char] = u\\\"f\\\"\\n for char in u\\\"ǴḠĞĠĢǦǤƓ\\\":\\n self.trans[char] = u\\\"G\\\"\\n for char in u\\\"ǵḡğġģǧǥɠ\\\":\\n self.trans[char] = u\\\"g\\\"\\n self.trans[u\\\"Ĝ\\\"] = u\\\"Gx\\\"\\n self.trans[u\\\"ĝ\\\"] = u\\\"gx\\\"\\n for char in u\\\"ḢḤḦȞḨḪH̱ĦǶ\\\":\\n self.trans[char] = u\\\"H\\\"\\n for char in u\\\"ḣḥḧȟḩḫ̱ẖħƕ\\\":\\n self.trans[char] = u\\\"h\\\"\\n for char in u\\\"IÌȈÍÎĨḬÏḮĪĬȊĮǏİỊỈƗ\\\":\\n self.trans[char] = u\\\"I\\\"\\n for char in u\\\"ıìȉíîĩḭïḯīĭȋįǐiịỉɨ\\\":\\n self.trans[char] = u\\\"i\\\"\\n for char in u\\\"ĴJ\\\":\\n self.trans[char] = u\\\"J\\\"\\n for char in u\\\"ɟĵ̌ǰ\\\":\\n self.trans[char] = u\\\"j\\\"\\n for char in u\\\"ḰǨĶḲḴƘ\\\":\\n self.trans[char] = u\\\"K\\\"\\n for char in u\\\"ḱǩķḳḵƙ\\\":\\n self.trans[char] = u\\\"k\\\"\\n for char in u\\\"ĹĻĽḶḸḺḼȽŁ\\\":\\n self.trans[char] = u\\\"L\\\"\\n for char in u\\\"ĺļľḷḹḻḽƚłɫ\\\":\\n self.trans[char] = u\\\"l\\\"\\n for char in u\\\"ḾṀṂ\\\":\\n self.trans[char] = u\\\"M\\\"\\n for char in u\\\"ḿṁṃɱ\\\":\\n self.trans[char] = u\\\"m\\\"\\n for char in u\\\"ǸŃÑŅŇṄṆṈṊŊƝɲȠ\\\":\\n self.trans[char] = u\\\"N\\\"\\n for char in u\\\"ǹńñņňṅṇṉṋŋɲƞ\\\":\\n self.trans[char] = u\\\"n\\\"\\n for char in u\\\"ÒÓÔÕṌṎȬÖŌṐṒŎǑȮȰỌǪǬƠỜỚỠỢỞỎƟØǾ\\\":\\n self.trans[char] = u\\\"O\\\"\\n for char in u\\\"òóôõṍṏȭöōṑṓŏǒȯȱọǫǭơờớỡợởỏɵøǿ\\\":\\n self.trans[char] = u\\\"o\\\"\\n for char in u\\\"ȌŐȪ\\\":\\n self.trans[char] = u\\\"Ö\\\"\\n for char in u\\\"ȍőȫ\\\":\\n self.trans[char] = u\\\"ö\\\"\\n for char in u\\\"ỒỐỖỘỔȎ\\\":\\n self.trans[char] = u\\\"Ô\\\"\\n for char in u\\\"ồốỗộổȏ\\\":\\n self.trans[char] = u\\\"ô\\\"\\n for char in u\\\"ṔṖƤ\\\":\\n self.trans[char] = u\\\"P\\\"\\n for char in u\\\"ṕṗƥ\\\":\\n self.trans[char] = u\\\"p\\\"\\n self.trans[u\\\"ᵽ\\\"] = u\\\"q\\\"\\n for char in u\\\"ȐŔŖŘȒṘṚṜṞ\\\":\\n self.trans[char] = u\\\"R\\\"\\n for char in u\\\"ȑŕŗřȓṙṛṝṟɽ\\\":\\n self.trans[char] = u\\\"r\\\"\\n for char in u\\\"ŚṤŞȘŠṦṠṢṨ\\\":\\n self.trans[char] = u\\\"S\\\"\\n for char in u\\\"śṥşșšṧṡṣṩȿ\\\":\\n self.trans[char] = u\\\"s\\\"\\n self.trans[u\\\"Ŝ\\\"] = u\\\"Sx\\\"\\n self.trans[u\\\"ŝ\\\"] = u\\\"sx\\\"\\n for char in u\\\"ŢȚŤṪṬṮṰŦƬƮ\\\":\\n self.trans[char] = u\\\"T\\\"\\n for char in u\\\"ţțťṫṭṯṱŧȾƭʈ\\\":\\n self.trans[char] = u\\\"t\\\"\\n for char in u\\\"ÙÚŨṸṴÜṲŪṺŬỤŮŲǓṶỦƯỮỰỬ\\\":\\n self.trans[char] = u\\\"U\\\"\\n for char in u\\\"ùúũṹṵüṳūṻŭụůųǔṷủưữựửʉ\\\":\\n self.trans[char] = u\\\"u\\\"\\n for char in u\\\"ȔŰǛǗǕǙ\\\":\\n self.trans[char] = u\\\"Ü\\\"\\n for char in u\\\"ȕűǜǘǖǚ\\\":\\n self.trans[char] = u\\\"ü\\\"\\n self.trans[u\\\"Û\\\"] = u\\\"Ux\\\"\\n self.trans[u\\\"û\\\"] = u\\\"ux\\\"\\n self.trans[u\\\"Ȗ\\\"] = u\\\"Û\\\"\\n self.trans[u\\\"ȗ\\\"] = u\\\"û\\\"\\n self.trans[u\\\"Ừ\\\"] = u\\\"Ù\\\"\\n self.trans[u\\\"ừ\\\"] = u\\\"ù\\\"\\n self.trans[u\\\"Ứ\\\"] = u\\\"Ú\\\"\\n self.trans[u\\\"ứ\\\"] = u\\\"ú\\\"\\n for char in u\\\"ṼṾ\\\":\\n self.trans[char] = u\\\"V\\\"\\n for char in u\\\"ṽṿ\\\":\\n self.trans[char] = u\\\"v\\\"\\n for char in u\\\"ẀẂŴẄẆẈ\\\":\\n self.trans[char] = u\\\"W\\\"\\n for char in u\\\"ẁẃŵẅẇẉ\\\":\\n self.trans[char] = u\\\"w\\\"\\n for char in u\\\"ẊẌ\\\":\\n self.trans[char] = u\\\"X\\\"\\n for char in u\\\"ẋẍ\\\":\\n self.trans[char] = u\\\"x\\\"\\n for char in u\\\"ỲÝŶŸỸȲẎỴỶƳ\\\":\\n self.trans[char] = u\\\"Y\\\"\\n for char in u\\\"ỳýŷÿỹȳẏỵỷƴ\\\":\\n self.trans[char] = u\\\"y\\\"\\n for char in u\\\"ŹẐŻẒŽẔƵȤ\\\":\\n self.trans[char] = u\\\"Z\\\"\\n for char in u\\\"źẑżẓžẕƶȥ\\\":\\n self.trans[char] = u\\\"z\\\"\\n self.trans[u\\\"ɀ\\\"] = u\\\"zv\\\"\\n\\n # Latin: extended Latin alphabet\\n self.trans[u\\\"ɑ\\\"] = u\\\"a\\\"\\n for char in u\\\"ÆǼǢ\\\":\\n self.trans[char] = u\\\"AE\\\"\\n for char in u\\\"æǽǣ\\\":\\n self.trans[char] = u\\\"ae\\\"\\n self.trans[u\\\"Ð\\\"] = u\\\"Dh\\\"\\n self.trans[u\\\"ð\\\"] = u\\\"dh\\\"\\n for char in u\\\"ƎƏƐ\\\":\\n self.trans[char] = u\\\"E\\\"\\n for char in u\\\"ǝəɛ\\\":\\n self.trans[char] = u\\\"e\\\"\\n for char in u\\\"ƔƢ\\\":\\n self.trans[char] = u\\\"G\\\"\\n for char in u\\\"ᵷɣƣᵹ\\\":\\n self.trans[char] = u\\\"g\\\"\\n self.trans[u\\\"Ƅ\\\"] = u\\\"H\\\"\\n self.trans[u\\\"ƅ\\\"] = u\\\"h\\\"\\n self.trans[u\\\"Ƕ\\\"] = u\\\"Wh\\\"\\n self.trans[u\\\"ƕ\\\"] = u\\\"wh\\\"\\n self.trans[u\\\"Ɩ\\\"] = u\\\"I\\\"\\n self.trans[u\\\"ɩ\\\"] = u\\\"i\\\"\\n self.trans[u\\\"Ŋ\\\"] = u\\\"Ng\\\"\\n self.trans[u\\\"ŋ\\\"] = u\\\"ng\\\"\\n self.trans[u\\\"Œ\\\"] = u\\\"OE\\\"\\n self.trans[u\\\"œ\\\"] = u\\\"oe\\\"\\n self.trans[u\\\"Ɔ\\\"] = u\\\"O\\\"\\n self.trans[u\\\"ɔ\\\"] = u\\\"o\\\"\\n self.trans[u\\\"Ȣ\\\"] = u\\\"Ou\\\"\\n self.trans[u\\\"ȣ\\\"] = u\\\"ou\\\"\\n self.trans[u\\\"Ƽ\\\"] = u\\\"Q\\\"\\n for char in u\\\"ĸƽ\\\":\\n self.trans[char] = u\\\"q\\\"\\n self.trans[u\\\"ȹ\\\"] = u\\\"qp\\\"\\n self.trans[u\\\"\\\"] = u\\\"r\\\"\\n self.trans[u\\\"ſ\\\"] = u\\\"s\\\"\\n self.trans[u\\\"ß\\\"] = u\\\"ss\\\"\\n self.trans[u\\\"Ʃ\\\"] = u\\\"Sh\\\"\\n for char in u\\\"ʃᶋ\\\":\\n self.trans[char] = u\\\"sh\\\"\\n self.trans[u\\\"Ʉ\\\"] = u\\\"U\\\"\\n self.trans[u\\\"ʉ\\\"] = u\\\"u\\\"\\n self.trans[u\\\"Ʌ\\\"] = u\\\"V\\\"\\n self.trans[u\\\"ʌ\\\"] = u\\\"v\\\"\\n for char in u\\\"ƜǷ\\\":\\n self.trans[char] = u\\\"W\\\"\\n for char in u\\\"ɯƿ\\\":\\n self.trans[char] = u\\\"w\\\"\\n self.trans[u\\\"Ȝ\\\"] = u\\\"Y\\\"\\n self.trans[u\\\"ȝ\\\"] = u\\\"y\\\"\\n self.trans[u\\\"IJ\\\"] = u\\\"IJ\\\"\\n self.trans[u\\\"ij\\\"] = u\\\"ij\\\"\\n self.trans[u\\\"Ƨ\\\"] = u\\\"Z\\\"\\n for char in u\\\"ʮƨ\\\":\\n self.trans[char] = u\\\"z\\\"\\n self.trans[u\\\"Ʒ\\\"] = u\\\"Zh\\\"\\n self.trans[u\\\"ʒ\\\"] = u\\\"zh\\\"\\n self.trans[u\\\"Ǯ\\\"] = u\\\"Dzh\\\"\\n self.trans[u\\\"ǯ\\\"] = u\\\"dzh\\\"\\n for char in u\\\"ƸƹʔˀɁɂ\\\":\\n self.trans[char] = u\\\"'\\\"\\n self.trans['Þ'] = 'Th'\\n self.trans['þ'] = 'th'\\n for char in u\\\"Cʗǃ\\\":\\n self.trans[char] = u\\\"!\\\"\\n\\n # Punctuation and typography\\n for char in u\\\"«»“”„¨\\\":\\n self.trans[char] = u'\\\"'\\n for char in u\\\"‘’′\\\":\\n self.trans[char] = u\\\"'\\\"\\n self.trans[u\\\"•\\\"] = u\\\"*\\\"\\n self.trans[u\\\"@\\\"] = u\\\"(at)\\\"\\n self.trans[u\\\"¤\\\"] = u\\\"$\\\"\\n self.trans[u\\\"¢\\\"] = u\\\"c\\\"\\n self.trans[u\\\"€\\\"] = u\\\"E\\\"\\n self.trans[u\\\"£\\\"] = u\\\"L\\\"\\n self.trans[u\\\"¥\\\"] = u\\\"yen\\\"\\n self.trans[u\\\"†\\\"] = u\\\"+\\\"\\n self.trans[u\\\"‡\\\"] = u\\\"++\\\"\\n self.trans[u\\\"°\\\"] = u\\\":\\\"\\n self.trans[u\\\"¡\\\"] = u\\\"!\\\"\\n self.trans[u\\\"¿\\\"] = u\\\"?\\\"\\n self.trans[u\\\"‰\\\"] = u\\\"o/oo\\\"\\n self.trans[u\\\"‱\\\"] = u\\\"o/ooo\\\"\\n for char in u\\\"¶§\\\":\\n self.trans[char] = u\\\">\\\"\\n self.trans['…'] = '...'\\n for char in u\\\"‒–—―\\\":\\n self.trans[char] = u\\\"-\\\"\\n self.trans['·'] = ' '\\n self.trans[u\\\"¦\\\"] = u\\\"|\\\"\\n self.trans[u\\\"⁂\\\"] = u\\\"***\\\"\\n self.trans[u\\\"◊\\\"] = u\\\"<>\\\"\\n self.trans[u\\\"‽\\\"] = u\\\"?!\\\"\\n self.trans[u\\\"؟\\\"] = u\\\";-)\\\"\\n self.trans[u\\\"¹\\\"] = u\\\"1\\\"\\n self.trans[u\\\"²\\\"] = u\\\"2\\\"\\n self.trans[u\\\"³\\\"] = u\\\"3\\\"\\n\\n # Cyrillic\\n self.trans.update({u\\\"А\\\": u\\\"A\\\", u\\\"а\\\": u\\\"a\\\", u\\\"Б\\\": u\\\"B\\\", u\\\"б\\\": u\\\"b\\\",\\n u\\\"В\\\": u\\\"V\\\", u\\\"в\\\": u\\\"v\\\", u\\\"Г\\\": u\\\"G\\\", u\\\"г\\\": u\\\"g\\\",\\n u\\\"Д\\\": u\\\"D\\\", u\\\"д\\\": u\\\"d\\\", u\\\"Е\\\": u\\\"E\\\", u\\\"е\\\": u\\\"e\\\",\\n u\\\"Ж\\\": u\\\"Zh\\\", u\\\"ж\\\": u\\\"zh\\\", u\\\"З\\\": u\\\"Z\\\", u\\\"з\\\": u\\\"z\\\",\\n u\\\"И\\\": u\\\"I\\\", u\\\"и\\\": u\\\"i\\\", u\\\"Й\\\": u\\\"J\\\", u\\\"й\\\": u\\\"j\\\",\\n u\\\"К\\\": u\\\"K\\\", u\\\"к\\\": u\\\"k\\\", u\\\"Л\\\": u\\\"L\\\", u\\\"л\\\": u\\\"l\\\",\\n u\\\"М\\\": u\\\"M\\\", u\\\"м\\\": u\\\"m\\\", u\\\"Н\\\": u\\\"N\\\", u\\\"н\\\": u\\\"n\\\",\\n u\\\"О\\\": u\\\"O\\\", u\\\"о\\\": u\\\"o\\\", u\\\"П\\\": u\\\"P\\\", u\\\"п\\\": u\\\"p\\\",\\n u\\\"Р\\\": u\\\"R\\\", u\\\"р\\\": u\\\"r\\\", u\\\"С\\\": u\\\"S\\\", u\\\"с\\\": u\\\"s\\\",\\n u\\\"Т\\\": u\\\"T\\\", u\\\"т\\\": u\\\"t\\\", u\\\"У\\\": u\\\"U\\\", u\\\"у\\\": u\\\"u\\\",\\n u\\\"Ф\\\": u\\\"F\\\", u\\\"ф\\\": u\\\"f\\\", u\\\"х\\\": u\\\"kh\\\", u\\\"Ц\\\": u\\\"C\\\",\\n u\\\"ц\\\": u\\\"c\\\", u\\\"Ч\\\": u\\\"Ch\\\", u\\\"ч\\\": u\\\"ch\\\", u\\\"Ш\\\": u\\\"Sh\\\",\\n u\\\"ш\\\": u\\\"sh\\\", u\\\"Щ\\\": u\\\"Shch\\\", u\\\"щ\\\": u\\\"shch\\\", u\\\"Ь\\\": u\\\"'\\\",\\n u\\\"ь\\\": \\\"'\\\", u\\\"Ъ\\\": u'\\\"', u\\\"ъ\\\": '\\\"', u\\\"Ю\\\": u\\\"Yu\\\",\\n u\\\"ю\\\": u\\\"yu\\\", u\\\"Я\\\": u\\\"Ya\\\", u\\\"я\\\": u\\\"ya\\\", u\\\"Х\\\": u\\\"Kh\\\",\\n u\\\"Χ\\\": u\\\"Kh\\\"})\\n\\n # Additional Cyrillic letters, most occuring in only one or a few languages\\n self.trans.update({u\\\"Ы\\\": u\\\"Y\\\", u\\\"ы\\\": u\\\"y\\\", u\\\"Ё\\\": u\\\"Ë\\\", u\\\"ё\\\": u\\\"ë\\\",\\n u\\\"Э\\\": u\\\"È\\\", u\\\"Ѐ\\\": u\\\"È\\\", u\\\"э\\\": u\\\"è\\\", u\\\"ѐ\\\": u\\\"è\\\",\\n u\\\"І\\\": u\\\"I\\\", u\\\"і\\\": u\\\"i\\\", u\\\"Ї\\\": u\\\"Ji\\\", u\\\"ї\\\": u\\\"ji\\\",\\n u\\\"Є\\\": u\\\"Je\\\", u\\\"є\\\": u\\\"je\\\", u\\\"Ґ\\\": u\\\"G\\\", u\\\"Ҝ\\\": u\\\"G\\\",\\n u\\\"ґ\\\": u\\\"g\\\", u\\\"ҝ\\\": u\\\"g\\\", u\\\"Ђ\\\": u\\\"Dj\\\", u\\\"ђ\\\": u\\\"dj\\\",\\n \\\"Љ\\\": \\\"Lj\\\", \\\"љ\\\": \\\"lj\\\",\\n u\\\"Њ\\\": u\\\"Nj\\\", u\\\"њ\\\": u\\\"nj\\\", u\\\"Ћ\\\": u\\\"Cj\\\", u\\\"ћ\\\": u\\\"cj\\\",\\n 'Җ': 'Zhj', 'Ѓ': 'Gj', 'ѓ': 'gj',\\n u\\\"Ќ\\\": u\\\"Kj\\\", u\\\"ќ\\\": u\\\"kj\\\", u\\\"Ӣ\\\": u\\\"Ii\\\", u\\\"ӣ\\\": u\\\"ii\\\",\\n \\\"Ҳ\\\": \\\"H\\\", \\\"ҳ\\\": \\\"h\\\",\\n u\\\"Ҷ\\\": u\\\"Dz\\\", u\\\"ҷ\\\": u\\\"dz\\\", u\\\"Ө\\\": u\\\"Ô\\\", u\\\"Ӫ\\\": u\\\"Ô\\\",\\n u\\\"ө\\\": u\\\"ô\\\", u\\\"ӫ\\\": u\\\"ô\\\", u\\\"Ү\\\": u\\\"Y\\\", u\\\"ү\\\": u\\\"y\\\", u\\\"Һ\\\": u\\\"H\\\",\\n u\\\"һ\\\": u\\\"h\\\", u\\\"Ә\\\": u\\\"AE\\\", u\\\"Ӕ\\\": u\\\"AE\\\", u\\\"ә\\\": u\\\"ae\\\",\\n 'Ӛ': 'Ë', 'Ӭ': 'Ë', 'ӛ': 'ë', 'ӭ': 'ë',\\n 'җ': 'zhj', 'Ұ': 'U', 'ў': 'ù', 'Ў': 'Ù',\\n u\\\"ѝ\\\": u\\\"ì\\\", u\\\"Ѝ\\\": u\\\"Ì\\\", u\\\"Ӑ\\\": u\\\"A\\\", u\\\"ă\\\": u\\\"a\\\", u\\\"Ӓ\\\": u\\\"Ä\\\",\\n \\\"Ҽ\\\": \\\"Ts\\\", \\\"Ҿ\\\": \\\"Ts\\\", \\\"ҽ\\\": \\\"ts\\\", \\\"ҿ\\\": \\\"ts\\\",\\n u\\\"Ҙ\\\": u\\\"Dh\\\", u\\\"ҙ\\\": u\\\"dh\\\", u\\\"Ӏ\\\": u\\\"\\\", u\\\"ӏ\\\": u\\\"\\\", u\\\"Ӆ\\\": u\\\"L\\\",\\n u\\\"ӆ\\\": u\\\"l\\\", u\\\"Ӎ\\\": u\\\"M\\\", u\\\"ӎ\\\": u\\\"m\\\", u\\\"Ӧ\\\": u\\\"Ö\\\", u\\\"ӧ\\\": u\\\"ö\\\",\\n u\\\"Ҩ\\\": u\\\"u\\\", u\\\"ҩ\\\": u\\\"u\\\", u\\\"Ҧ\\\": u\\\"Ph\\\", u\\\"ҧ\\\": u\\\"ph\\\", u\\\"Ҏ\\\": u\\\"R\\\",\\n u\\\"ҏ\\\": u\\\"r\\\", u\\\"Ҫ\\\": u\\\"Th\\\", u\\\"ҫ\\\": u\\\"th\\\", u\\\"Ҭ\\\": u\\\"T\\\", u\\\"ҭ\\\": u\\\"t\\\",\\n 'Ӯ': 'Û', 'ӯ': 'û', 'Ӹ': 'U', 'ұ': 'u',\\n u\\\"ӹ\\\": u\\\"u\\\", u\\\"Ҵ\\\": u\\\"Tts\\\", u\\\"ҵ\\\": u\\\"tts\\\", u\\\"Ӵ\\\": u\\\"Ch\\\", u\\\"ӵ\\\": u\\\"ch\\\"})\\n\\n for char in u\\\"ЈӤҊ\\\":\\n self.trans[char] = u\\\"J\\\"\\n for char in u\\\"јӥҋ\\\":\\n self.trans[char] = u\\\"j\\\"\\n for char in u\\\"ЏӁӜҶ\\\":\\n self.trans[char] = u\\\"Dzh\\\"\\n for char in u\\\"џӂӝҷ\\\":\\n self.trans[char] = u\\\"dzh\\\"\\n for char in u\\\"ЅӞӠӋҸ\\\":\\n self.trans[char] = u\\\"Dz\\\"\\n for char in u\\\"ѕӟӡӌҹ\\\":\\n self.trans[char] = u\\\"dz\\\"\\n for char in u\\\"ҒӶҔ\\\":\\n self.trans[char] = u\\\"G\\\"\\n for char in u\\\"ғӷҕ\\\":\\n self.trans[char] = u\\\"g\\\"\\n for char in u\\\"ҚҞҠӃ\\\":\\n self.trans[char] = u\\\"Q\\\"\\n for char in u\\\"қҟҡӄ\\\":\\n self.trans[char] = u\\\"q\\\"\\n for char in u\\\"ҢҤӉӇ\\\":\\n self.trans[char] = u\\\"Ng\\\"\\n for char in u\\\"ңҥӊӈ\\\":\\n self.trans[char] = u\\\"ng\\\"\\n for char in u\\\"ӖѢҌ\\\":\\n self.trans[char] = u\\\"E\\\"\\n for char in u\\\"ӗѣҍ\\\":\\n self.trans[char] = u\\\"e\\\"\\n for char in u\\\"ӲӰҮ\\\":\\n self.trans[char] = u\\\"Ü\\\"\\n for char in u\\\"ӳӱү\\\":\\n self.trans[char] = u\\\"ü\\\"\\n\\n # Archaic Cyrillic letters\\n self.trans.update({u\\\"Ѹ\\\": u\\\"Ou\\\", u\\\"ѹ\\\": u\\\"ou\\\", u\\\"Ѡ\\\": u\\\"O\\\", u\\\"Ѻ\\\": u\\\"O\\\", u\\\"ѡ\\\": u\\\"o\\\",\\n u\\\"ѻ\\\": u\\\"o\\\", u\\\"Ѿ\\\": u\\\"Ot\\\", u\\\"ѿ\\\": u\\\"ot\\\", u\\\"Ѣ\\\": u\\\"E\\\", u\\\"ѣ\\\": u\\\"e\\\",\\n u\\\"Ѥ\\\": u\\\"Ei\\\", u\\\"Ѧ\\\": u\\\"Ei\\\", u\\\"ѥ\\\": u\\\"ei\\\", u\\\"ѧ\\\": u\\\"ei\\\", u\\\"Ѫ\\\": u\\\"Ai\\\",\\n u\\\"ѫ\\\": u\\\"ai\\\", u\\\"Ѯ\\\": u\\\"X\\\", u\\\"ѯ\\\": u\\\"x\\\", u\\\"Ѱ\\\": u\\\"Ps\\\", u\\\"ѱ\\\": u\\\"ps\\\",\\n u\\\"Ѳ\\\": u\\\"Th\\\", u\\\"ѳ\\\": u\\\"th\\\", u\\\"Ѵ\\\": u\\\"Ü\\\", u\\\"Ѷ\\\": u\\\"Ü\\\", u\\\"ѵ\\\": u\\\"ü\\\"})\\n\\n # Hebrew alphabet\\n for char in u\\\"אע\\\":\\n self.trans[char] = u\\\"'\\\"\\n self.trans[u\\\"ב\\\"] = u\\\"b\\\"\\n self.trans[u\\\"ג\\\"] = u\\\"g\\\"\\n self.trans[u\\\"ד\\\"] = u\\\"d\\\"\\n self.trans[u\\\"ה\\\"] = u\\\"h\\\"\\n self.trans[u\\\"ו\\\"] = u\\\"v\\\"\\n self.trans[u\\\"ז\\\"] = u\\\"z\\\"\\n self.trans[u\\\"ח\\\"] = u\\\"kh\\\"\\n self.trans[u\\\"ט\\\"] = u\\\"t\\\"\\n self.trans[u\\\"י\\\"] = u\\\"y\\\"\\n for char in u\\\"ךכ\\\":\\n self.trans[char] = u\\\"k\\\"\\n self.trans[u\\\"ל\\\"] = u\\\"l\\\"\\n for char in u\\\"םמ\\\":\\n self.trans[char] = u\\\"m\\\"\\n for char in u\\\"ןנ\\\":\\n self.trans[char] = u\\\"n\\\"\\n self.trans[u\\\"ס\\\"] = u\\\"s\\\"\\n for char in u\\\"ףפ\\\":\\n self.trans[char] = u\\\"ph\\\"\\n for char in u\\\"ץצ\\\":\\n self.trans[char] = u\\\"ts\\\"\\n self.trans[u\\\"ק\\\"] = u\\\"q\\\"\\n self.trans[u\\\"ר\\\"] = u\\\"r\\\"\\n self.trans[u\\\"ש\\\"] = u\\\"sh\\\"\\n self.trans[u\\\"ת\\\"] = u\\\"th\\\"\\n\\n # Arab alphabet\\n for char in u\\\"اﺍﺎ\\\":\\n self.trans[char] = u\\\"a\\\"\\n for char in u\\\"بﺏﺐﺒﺑ\\\":\\n self.trans[char] = u\\\"b\\\"\\n for char in u\\\"تﺕﺖﺘﺗ\\\":\\n self.trans[char] = u\\\"t\\\"\\n for char in u\\\"ثﺙﺚﺜﺛ\\\":\\n self.trans[char] = u\\\"th\\\"\\n for char in u\\\"جﺝﺞﺠﺟ\\\":\\n self.trans[char] = u\\\"g\\\"\\n for char in u\\\"حﺡﺢﺤﺣ\\\":\\n self.trans[char] = u\\\"h\\\"\\n for char in u\\\"خﺥﺦﺨﺧ\\\":\\n self.trans[char] = u\\\"kh\\\"\\n for char in u\\\"دﺩﺪ\\\":\\n self.trans[char] = u\\\"d\\\"\\n for char in u\\\"ذﺫﺬ\\\":\\n self.trans[char] = u\\\"dh\\\"\\n for char in u\\\"رﺭﺮ\\\":\\n self.trans[char] = u\\\"r\\\"\\n for char in u\\\"زﺯﺰ\\\":\\n self.trans[char] = u\\\"z\\\"\\n for char in u\\\"سﺱﺲﺴﺳ\\\":\\n self.trans[char] = u\\\"s\\\"\\n for char in u\\\"شﺵﺶﺸﺷ\\\":\\n self.trans[char] = u\\\"sh\\\"\\n for char in u\\\"صﺹﺺﺼﺻ\\\":\\n self.trans[char] = u\\\"s\\\"\\n for char in u\\\"ضﺽﺾﻀﺿ\\\":\\n self.trans[char] = u\\\"d\\\"\\n for char in u\\\"طﻁﻂﻄﻃ\\\":\\n self.trans[char] = u\\\"t\\\"\\n for char in u\\\"ظﻅﻆﻈﻇ\\\":\\n self.trans[char] = u\\\"z\\\"\\n for char in u\\\"عﻉﻊﻌﻋ\\\":\\n self.trans[char] = u\\\"'\\\"\\n for char in u\\\"غﻍﻎﻐﻏ\\\":\\n self.trans[char] = u\\\"gh\\\"\\n for char in u\\\"فﻑﻒﻔﻓ\\\":\\n self.trans[char] = u\\\"f\\\"\\n for char in u\\\"قﻕﻖﻘﻗ\\\":\\n self.trans[char] = u\\\"q\\\"\\n for char in u\\\"كﻙﻚﻜﻛک\\\":\\n self.trans[char] = u\\\"k\\\"\\n for char in u\\\"لﻝﻞﻠﻟ\\\":\\n self.trans[char] = u\\\"l\\\"\\n for char in u\\\"مﻡﻢﻤﻣ\\\":\\n self.trans[char] = u\\\"m\\\"\\n for char in u\\\"نﻥﻦﻨﻧ\\\":\\n self.trans[char] = u\\\"n\\\"\\n for char in u\\\"هﻩﻪﻬﻫ\\\":\\n self.trans[char] = u\\\"h\\\"\\n for char in u\\\"وﻭﻮ\\\":\\n self.trans[char] = u\\\"w\\\"\\n for char in u\\\"یيﻱﻲﻴﻳ\\\":\\n self.trans[char] = u\\\"y\\\"\\n # Arabic - additional letters, modified letters and ligatures\\n self.trans[u\\\"ﺀ\\\"] = u\\\"'\\\"\\n for char in u\\\"آﺁﺂ\\\":\\n self.trans[char] = u\\\"'a\\\"\\n for char in u\\\"ةﺓﺔ\\\":\\n self.trans[char] = u\\\"th\\\"\\n for char in u\\\"ىﻯﻰ\\\":\\n self.trans[char] = u\\\"á\\\"\\n for char in u\\\"یﯼﯽﯿﯾ\\\":\\n self.trans[char] = u\\\"y\\\"\\n self.trans[u\\\"؟\\\"] = u\\\"?\\\"\\n # Arabic - ligatures\\n for char in u\\\"ﻻﻼ\\\":\\n self.trans[char] = u\\\"la\\\"\\n self.trans[u\\\"ﷲ\\\"] = u\\\"llah\\\"\\n for char in u\\\"إأ\\\":\\n self.trans[char] = u\\\"a'\\\"\\n self.trans[u\\\"ؤ\\\"] = u\\\"w'\\\"\\n self.trans[u\\\"ئ\\\"] = u\\\"y'\\\"\\n for char in u\\\"◌◌\\\":\\n self.trans[char] = u\\\"\\\" # indicates absence of vowels\\n # Arabic vowels\\n self.trans[u\\\"◌\\\"] = u\\\"a\\\"\\n self.trans[u\\\"◌\\\"] = u\\\"u\\\"\\n self.trans[u\\\"◌\\\"] = u\\\"i\\\"\\n self.trans[u\\\"◌\\\"] = u\\\"a\\\"\\n self.trans[u\\\"◌\\\"] = u\\\"ay\\\"\\n self.trans[u\\\"◌\\\"] = u\\\"ay\\\"\\n self.trans[u\\\"◌\\\"] = u\\\"u\\\"\\n self.trans[u\\\"◌\\\"] = u\\\"iy\\\"\\n # Arab numerals\\n for char in u\\\"٠۰\\\":\\n self.trans[char] = u\\\"0\\\"\\n for char in u\\\"١۱\\\":\\n self.trans[char] = u\\\"1\\\"\\n for char in u\\\"٢۲\\\":\\n self.trans[char] = u\\\"2\\\"\\n for char in u\\\"٣۳\\\":\\n self.trans[char] = u\\\"3\\\"\\n for char in u\\\"٤۴\\\":\\n self.trans[char] = u\\\"4\\\"\\n for char in u\\\"٥۵\\\":\\n self.trans[char] = u\\\"5\\\"\\n for char in u\\\"٦۶\\\":\\n self.trans[char] = u\\\"6\\\"\\n for char in u\\\"٧۷\\\":\\n self.trans[char] = u\\\"7\\\"\\n for char in u\\\"٨۸\\\":\\n self.trans[char] = u\\\"8\\\"\\n for char in u\\\"٩۹\\\":\\n self.trans[char] = u\\\"9\\\"\\n # Perso-Arabic\\n for char in u\\\"پﭙﭙپ\\\":\\n self.trans[char] = u\\\"p\\\"\\n for char in u\\\"چچچچ\\\":\\n self.trans[char] = u\\\"ch\\\"\\n for char in u\\\"ژژ\\\":\\n self.trans[char] = u\\\"zh\\\"\\n for char in u\\\"گﮔﮕﮓ\\\":\\n self.trans[char] = u\\\"g\\\"\\n\\n # Greek\\n self.trans.update({u\\\"Α\\\": u\\\"A\\\", u\\\"α\\\": u\\\"a\\\", u\\\"Β\\\": u\\\"B\\\", u\\\"β\\\": u\\\"b\\\", u\\\"Γ\\\": u\\\"G\\\",\\n u\\\"γ\\\": u\\\"g\\\", u\\\"Δ\\\": u\\\"D\\\", u\\\"δ\\\": u\\\"d\\\", u\\\"Ε\\\": u\\\"E\\\", u\\\"ε\\\": u\\\"e\\\",\\n u\\\"Ζ\\\": u\\\"Z\\\", u\\\"ζ\\\": u\\\"z\\\", u\\\"Η\\\": u\\\"I\\\", u\\\"η\\\": u\\\"i\\\", u\\\"θ\\\": u\\\"th\\\",\\n u\\\"Θ\\\": u\\\"Th\\\", u\\\"Ι\\\": u\\\"I\\\", u\\\"ι\\\": u\\\"i\\\", u\\\"Κ\\\": u\\\"K\\\", u\\\"κ\\\": u\\\"k\\\",\\n u\\\"Λ\\\": u\\\"L\\\", u\\\"λ\\\": u\\\"l\\\", u\\\"Μ\\\": u\\\"M\\\", u\\\"μ\\\": u\\\"m\\\", u\\\"Ν\\\": u\\\"N\\\",\\n u\\\"ν\\\": u\\\"n\\\", u\\\"Ξ\\\": u\\\"X\\\", u\\\"ξ\\\": u\\\"x\\\", u\\\"Ο\\\": u\\\"O\\\", u\\\"ο\\\": u\\\"o\\\",\\n u\\\"Π\\\": u\\\"P\\\", u\\\"π\\\": u\\\"p\\\", u\\\"Ρ\\\": u\\\"R\\\", u\\\"ρ\\\": u\\\"r\\\", u\\\"Σ\\\": u\\\"S\\\",\\n u\\\"σ\\\": u\\\"s\\\", u\\\"ς\\\": u\\\"s\\\", u\\\"Τ\\\": u\\\"T\\\", u\\\"τ\\\": u\\\"t\\\", u\\\"Υ\\\": u\\\"Y\\\",\\n u\\\"υ\\\": u\\\"y\\\", u\\\"Φ\\\": u\\\"F\\\", u\\\"φ\\\": u\\\"f\\\", u\\\"Ψ\\\": u\\\"Ps\\\", u\\\"ψ\\\": u\\\"ps\\\",\\n u\\\"Ω\\\": u\\\"O\\\", u\\\"ω\\\": u\\\"o\\\", u\\\"ϗ\\\": u\\\"&\\\", u\\\"Ϛ\\\": u\\\"St\\\", u\\\"ϛ\\\": u\\\"st\\\",\\n u\\\"Ϙ\\\": u\\\"Q\\\", u\\\"Ϟ\\\": u\\\"Q\\\", u\\\"ϙ\\\": u\\\"q\\\", u\\\"ϟ\\\": u\\\"q\\\", u\\\"Ϻ\\\": u\\\"S\\\",\\n u\\\"ϻ\\\": u\\\"s\\\", u\\\"Ϡ\\\": u\\\"Ss\\\", u\\\"ϡ\\\": u\\\"ss\\\", u\\\"Ϸ\\\": u\\\"Sh\\\", u\\\"ϸ\\\": u\\\"sh\\\",\\n u\\\"·\\\": u\\\":\\\", u\\\"Ά\\\": u\\\"Á\\\", u\\\"ά\\\": u\\\"á\\\", u\\\"Έ\\\": u\\\"É\\\", u\\\"Ή\\\": u\\\"É\\\",\\n u\\\"έ\\\": u\\\"é\\\", u\\\"ή\\\": u\\\"é\\\", u\\\"Ί\\\": u\\\"Í\\\", u\\\"ί\\\": u\\\"í\\\", u\\\"Ϊ\\\": u\\\"Ï\\\",\\n u\\\"ϊ\\\": u\\\"ï\\\", u\\\"ΐ\\\": u\\\"ï\\\", u\\\"Ό\\\": u\\\"Ó\\\", u\\\"ό\\\": u\\\"ó\\\", u\\\"Ύ\\\": u\\\"Ý\\\",\\n u\\\"ύ\\\": u\\\"ý\\\", u\\\"Ϋ\\\": u\\\"Y\\\", u\\\"ϋ\\\": u\\\"ÿ\\\", u\\\"ΰ\\\": u\\\"ÿ\\\", u\\\"Ώ\\\": u\\\"Ó\\\",\\n u\\\"ώ\\\": u\\\"ó\\\"})\\n\\n # Japanese (katakana and hiragana)\\n for char in u\\\"アァあ\\\":\\n self.trans[char] = u\\\"a\\\"\\n for char in u\\\"イィい\\\":\\n self.trans[char] = u\\\"i\\\"\\n for char in u\\\"ウう\\\":\\n self.trans[char] = u\\\"u\\\"\\n for char in u\\\"エェえ\\\":\\n self.trans[char] = u\\\"e\\\"\\n for char in u\\\"オォお\\\":\\n self.trans[char] = u\\\"o\\\"\\n for char in u\\\"ャや\\\":\\n self.trans[char] = u\\\"ya\\\"\\n for char in u\\\"ュゆ\\\":\\n self.trans[char] = u\\\"yu\\\"\\n for char in u\\\"ョよ\\\":\\n self.trans[char] = u\\\"yo\\\"\\n for char in u\\\"カか\\\":\\n self.trans[char] = u\\\"ka\\\"\\n for char in u\\\"キき\\\":\\n self.trans[char] = u\\\"ki\\\"\\n for char in u\\\"クく\\\":\\n self.trans[char] = u\\\"ku\\\"\\n for char in u\\\"ケけ\\\":\\n self.trans[char] = u\\\"ke\\\"\\n for char in u\\\"コこ\\\":\\n self.trans[char] = u\\\"ko\\\"\\n for char in u\\\"サさ\\\":\\n self.trans[char] = u\\\"sa\\\"\\n for char in u\\\"シし\\\":\\n self.trans[char] = u\\\"shi\\\"\\n for char in u\\\"スす\\\":\\n self.trans[char] = u\\\"su\\\"\\n for char in u\\\"セせ\\\":\\n self.trans[char] = u\\\"se\\\"\\n for char in u\\\"ソそ\\\":\\n self.trans[char] = u\\\"so\\\"\\n for char in u\\\"タた\\\":\\n self.trans[char] = u\\\"ta\\\"\\n for char in u\\\"チち\\\":\\n self.trans[char] = u\\\"chi\\\"\\n for char in u\\\"ツつ\\\":\\n self.trans[char] = u\\\"tsu\\\"\\n for char in u\\\"テて\\\":\\n self.trans[char] = u\\\"te\\\"\\n for char in u\\\"トと\\\":\\n self.trans[char] = u\\\"to\\\"\\n for char in u\\\"ナな\\\":\\n self.trans[char] = u\\\"na\\\"\\n for char in u\\\"ニに\\\":\\n self.trans[char] = u\\\"ni\\\"\\n for char in u\\\"ヌぬ\\\":\\n self.trans[char] = u\\\"nu\\\"\\n for char in u\\\"ネね\\\":\\n self.trans[char] = u\\\"ne\\\"\\n for char in u\\\"ノの\\\":\\n self.trans[char] = u\\\"no\\\"\\n for char in u\\\"ハは\\\":\\n self.trans[char] = u\\\"ha\\\"\\n for char in u\\\"ヒひ\\\":\\n self.trans[char] = u\\\"hi\\\"\\n for char in u\\\"フふ\\\":\\n self.trans[char] = u\\\"fu\\\"\\n for char in u\\\"ヘへ\\\":\\n self.trans[char] = u\\\"he\\\"\\n for char in u\\\"ホほ\\\":\\n self.trans[char] = u\\\"ho\\\"\\n for char in u\\\"マま\\\":\\n self.trans[char] = u\\\"ma\\\"\\n for char in u\\\"ミみ\\\":\\n self.trans[char] = u\\\"mi\\\"\\n for char in u\\\"ムむ\\\":\\n self.trans[char] = u\\\"mu\\\"\\n for char in u\\\"メめ\\\":\\n self.trans[char] = u\\\"me\\\"\\n for char in u\\\"モも\\\":\\n self.trans[char] = u\\\"mo\\\"\\n for char in u\\\"ラら\\\":\\n self.trans[char] = u\\\"ra\\\"\\n for char in u\\\"リり\\\":\\n self.trans[char] = u\\\"ri\\\"\\n for char in u\\\"ルる\\\":\\n self.trans[char] = u\\\"ru\\\"\\n for char in u\\\"レれ\\\":\\n self.trans[char] = u\\\"re\\\"\\n for char in u\\\"ロろ\\\":\\n self.trans[char] = u\\\"ro\\\"\\n for char in u\\\"ワわ\\\":\\n self.trans[char] = u\\\"wa\\\"\\n for char in u\\\"ヰゐ\\\":\\n self.trans[char] = u\\\"wi\\\"\\n for char in u\\\"ヱゑ\\\":\\n self.trans[char] = u\\\"we\\\"\\n for char in u\\\"ヲを\\\":\\n self.trans[char] = u\\\"wo\\\"\\n for char in u\\\"ンん\\\":\\n self.trans[char] = u\\\"n\\\"\\n for char in u\\\"ガが\\\":\\n self.trans[char] = u\\\"ga\\\"\\n for char in u\\\"ギぎ\\\":\\n self.trans[char] = u\\\"gi\\\"\\n for char in u\\\"グぐ\\\":\\n self.trans[char] = u\\\"gu\\\"\\n for char in u\\\"ゲげ\\\":\\n self.trans[char] = u\\\"ge\\\"\\n for char in u\\\"ゴご\\\":\\n self.trans[char] = u\\\"go\\\"\\n for char in u\\\"ザざ\\\":\\n self.trans[char] = u\\\"za\\\"\\n for char in u\\\"ジじ\\\":\\n self.trans[char] = u\\\"ji\\\"\\n for char in u\\\"ズず\\\":\\n self.trans[char] = u\\\"zu\\\"\\n for char in u\\\"ゼぜ\\\":\\n self.trans[char] = u\\\"ze\\\"\\n for char in u\\\"ゾぞ\\\":\\n self.trans[char] = u\\\"zo\\\"\\n for char in u\\\"ダだ\\\":\\n self.trans[char] = u\\\"da\\\"\\n for char in u\\\"ヂぢ\\\":\\n self.trans[char] = u\\\"dji\\\"\\n for char in u\\\"ヅづ\\\":\\n self.trans[char] = u\\\"dzu\\\"\\n for char in u\\\"デで\\\":\\n self.trans[char] = u\\\"de\\\"\\n for char in u\\\"ドど\\\":\\n self.trans[char] = u\\\"do\\\"\\n for char in u\\\"バば\\\":\\n self.trans[char] = u\\\"ba\\\"\\n for char in u\\\"ビび\\\":\\n self.trans[char] = u\\\"bi\\\"\\n for char in u\\\"ブぶ\\\":\\n self.trans[char] = u\\\"bu\\\"\\n for char in u\\\"ベべ\\\":\\n self.trans[char] = u\\\"be\\\"\\n for char in u\\\"ボぼ\\\":\\n self.trans[char] = u\\\"bo\\\"\\n for char in u\\\"パぱ\\\":\\n self.trans[char] = u\\\"pa\\\"\\n for char in u\\\"ピぴ\\\":\\n self.trans[char] = u\\\"pi\\\"\\n for char in u\\\"プぷ\\\":\\n self.trans[char] = u\\\"pu\\\"\\n for char in u\\\"ペぺ\\\":\\n self.trans[char] = u\\\"pe\\\"\\n for char in u\\\"ポぽ\\\":\\n self.trans[char] = u\\\"po\\\"\\n for char in u\\\"ヴゔ\\\":\\n self.trans[char] = u\\\"vu\\\"\\n self.trans[u\\\"ヷ\\\"] = u\\\"va\\\"\\n self.trans[u\\\"ヸ\\\"] = u\\\"vi\\\"\\n self.trans[u\\\"ヹ\\\"] = u\\\"ve\\\"\\n self.trans[u\\\"ヺ\\\"] = u\\\"vo\\\"\\n\\n # Japanese and Chinese punctuation and typography\\n for char in u\\\"・·\\\":\\n self.trans[char] = u\\\" \\\"\\n for char in u\\\"〃『』《》\\\":\\n self.trans[char] = u'\\\"'\\n for char in u\\\"「」〈〉〘〙〚〛\\\":\\n self.trans[char] = u\\\"'\\\"\\n for char in u\\\"（〔\\\":\\n self.trans[char] = u\\\"(\\\"\\n for char in u\\\"）〕\\\":\\n self.trans[char] = u\\\")\\\"\\n for char in u\\\"［【〖\\\":\\n self.trans[char] = u\\\"[\\\"\\n for char in u\\\"］】〗\\\":\\n self.trans[char] = u\\\"]\\\"\\n self.trans['｛'] = '{'\\n self.trans['｝'] = '}'\\n self.trans['っ'] = ':'\\n self.trans['ー'] = 'h'\\n self.trans['゛'] = \\\"'\\\"\\n self.trans['゜'] = 'p'\\n self.trans['。'] = '. '\\n self.trans['、'] = ', '\\n self.trans['・'] = ' '\\n self.trans['〆'] = 'shime'\\n self.trans['〜'] = '-'\\n self.trans['…'] = '...'\\n self.trans['‥'] = '..'\\n self.trans['ヶ'] = 'months'\\n for char in u\\\"•◦\\\":\\n self.trans[char] = u\\\"_\\\"\\n for char in u\\\"※＊\\\":\\n self.trans[char] = u\\\"*\\\"\\n self.trans['Ⓧ'] = '(X)'\\n self.trans['Ⓨ'] = '(Y)'\\n self.trans['！'] = '!'\\n self.trans['？'] = '?'\\n self.trans['；'] = ';'\\n self.trans['：'] = ':'\\n self.trans['。'] = '.'\\n for char in u\\\"，、\\\":\\n self.trans[char] = u\\\",\\\"\\n\\n # Georgian\\n self.trans['ა'] = 'a'\\n self.trans['ბ'] = 'b'\\n self.trans['გ'] = 'g'\\n self.trans['დ'] = 'd'\\n for char in u\\\"ეჱ\\\":\\n self.trans[char] = u\\\"e\\\"\\n self.trans['ვ'] = 'v'\\n self.trans['ზ'] = 'z'\\n self.trans['თ'] = 'th'\\n self.trans['ი'] = 'i'\\n self.trans['კ'] = 'k'\\n self.trans['ლ'] = 'l'\\n self.trans['მ'] = 'm'\\n self.trans['ნ'] = 'n'\\n self.trans['ო'] = 'o'\\n self.trans['პ'] = 'p'\\n self.trans['ჟ'] = 'zh'\\n self.trans['რ'] = 'r'\\n self.trans['ს'] = 's'\\n self.trans['ტ'] = 't'\\n self.trans['უ'] = 'u'\\n self.trans['ფ'] = 'ph'\\n self.trans['ქ'] = 'q'\\n self.trans['ღ'] = 'gh'\\n for char in u\\\"ყ\\\":\\n self.trans[char] = u\\\"q'\\\"\\n self.trans['შ'] = 'sh'\\n self.trans['ჩ'] = 'ch'\\n self.trans['ც'] = 'ts'\\n self.trans['ძ'] = 'dz'\\n for char in u\\\"წ\\\":\\n self.trans[char] = u\\\"ts'\\\"\\n for char in u\\\"ჭ\\\":\\n self.trans[char] = u\\\"ch'\\\"\\n self.trans['ხ'] = 'kh'\\n self.trans['ჯ'] = 'j'\\n self.trans['ჰ'] = 'h'\\n self.trans['ჳ'] = 'w'\\n self.trans['ჵ'] = 'o'\\n self.trans['ჶ'] = 'f'\\n\\n # Devanagari\\n for char in u\\\"पप\\\":\\n self.trans[char] = u\\\"p\\\"\\n self.trans['अ'] = 'a'\\n for char in u\\\"आा\\\":\\n self.trans[char] = u\\\"aa\\\"\\n self.trans['प'] = 'pa'\\n for char in u\\\"इि\\\":\\n self.trans[char] = u\\\"i\\\"\\n for char in u\\\"ईी\\\":\\n self.trans[char] = u\\\"ii\\\"\\n for char in u\\\"उु\\\":\\n self.trans[char] = u\\\"u\\\"\\n for char in u\\\"ऊू\\\":\\n self.trans[char] = u\\\"uu\\\"\\n for char in u\\\"एे\\\":\\n self.trans[char] = u\\\"e\\\"\\n for char in u\\\"ऐै\\\":\\n self.trans[char] = u\\\"ai\\\"\\n for char in u\\\"ओो\\\":\\n self.trans[char] = u\\\"o\\\"\\n for char in u\\\"औौ\\\":\\n self.trans[char] = u\\\"au\\\"\\n for char in u\\\"ऋृर\\\":\\n self.trans[char] = u\\\"r\\\"\\n for char in u\\\"ॠॄ\\\":\\n self.trans[char] = u\\\"rr\\\"\\n for char in u\\\"ऌॢल\\\":\\n self.trans[char] = u\\\"l\\\"\\n for char in u\\\"ॡॣ\\\":\\n self.trans[char] = u\\\"ll\\\"\\n self.trans['क'] = 'k'\\n self.trans['ख'] = 'kh'\\n self.trans['ग'] = 'g'\\n self.trans['घ'] = 'gh'\\n self.trans['ङ'] = 'ng'\\n self.trans['च'] = 'c'\\n self.trans['छ'] = 'ch'\\n self.trans['ज'] = 'j'\\n self.trans['झ'] = 'jh'\\n self.trans['ञ'] = 'ñ'\\n for char in u\\\"टत\\\":\\n self.trans[char] = u\\\"t\\\"\\n for char in u\\\"ठथ\\\":\\n self.trans[char] = u\\\"th\\\"\\n for char in u\\\"डद\\\":\\n self.trans[char] = u\\\"d\\\"\\n for char in u\\\"ढध\\\":\\n self.trans[char] = u\\\"dh\\\"\\n for char in u\\\"णन\\\":\\n self.trans[char] = u\\\"n\\\"\\n self.trans['फ'] = 'ph'\\n self.trans['ब'] = 'b'\\n self.trans['भ'] = 'bh'\\n self.trans['म'] = 'm'\\n self.trans['य'] = 'y'\\n self.trans['व'] = 'v'\\n self.trans['श'] = 'sh'\\n for char in u\\\"षस\\\":\\n self.trans[char] = u\\\"s\\\"\\n self.trans['ह'] = 'h'\\n self.trans['क'] = 'x'\\n self.trans['त'] = 'tr'\\n self.trans['ज'] = 'gj'\\n for char in u\\\"क़\\\":\\n self.trans[char] = u\\\"q\\\"\\n self.trans['फ'] = 'f'\\n self.trans['ख'] = 'hh'\\n self.trans['H'] = 'gh'\\n self.trans['ज'] = 'z'\\n for char in u\\\"डढ\\\":\\n self.trans[char] = u\\\"r\\\"\\n # Devanagari ligatures (possibly incomplete and/or incorrect)\\n for char in u\\\"ख्\\\":\\n self.trans[char] = u\\\"khn\\\"\\n self.trans['त'] = 'tn'\\n for char in u\\\"द्\\\":\\n self.trans[char] = u\\\"dn\\\"\\n self.trans['श'] = 'cn'\\n for char in u\\\"ह्\\\":\\n self.trans[char] = u\\\"fn\\\"\\n for char in u\\\"अँ\\\":\\n self.trans[char] = u\\\"m\\\"\\n for char in u\\\"॒॑\\\":\\n self.trans[char] = u\\\"\\\"\\n self.trans['०'] = '0'\\n self.trans['१'] = '1'\\n self.trans['२'] = '2'\\n self.trans['३'] = '3'\\n self.trans['४'] = '4'\\n self.trans['५'] = '5'\\n self.trans['६'] = '6'\\n self.trans['७'] = '7'\\n self.trans['८'] = '8'\\n self.trans['९'] = '9'\\n\\n # Armenian\\n self.trans['Ա'] = 'A'\\n self.trans['ա'] = 'a'\\n self.trans['Բ'] = 'B'\\n self.trans['բ'] = 'b'\\n self.trans['Գ'] = 'G'\\n self.trans['գ'] = 'g'\\n self.trans['Դ'] = 'D'\\n self.trans['դ'] = 'd'\\n self.trans['Ե'] = 'Je'\\n self.trans['ե'] = 'e'\\n self.trans['Զ'] = 'Z'\\n self.trans['զ'] = 'z'\\n self.trans['Է'] = 'É'\\n self.trans['է'] = 'é'\\n self.trans['Ը'] = 'Ë'\\n self.trans['ը'] = 'ë'\\n self.trans['Թ'] = 'Th'\\n self.trans['թ'] = 'th'\\n self.trans['Ժ'] = 'Zh'\\n self.trans['ժ'] = 'zh'\\n self.trans['Ի'] = 'I'\\n self.trans['ի'] = 'i'\\n self.trans['Լ'] = 'L'\\n self.trans['լ'] = 'l'\\n self.trans['Խ'] = 'Ch'\\n self.trans['խ'] = 'ch'\\n self.trans['Ծ'] = 'Ts'\\n self.trans['ծ'] = 'ts'\\n self.trans['Կ'] = 'K'\\n self.trans['կ'] = 'k'\\n self.trans['Հ'] = 'H'\\n self.trans['հ'] = 'h'\\n self.trans['Ձ'] = 'Dz'\\n self.trans['ձ'] = 'dz'\\n self.trans['Ղ'] = 'R'\\n self.trans['ղ'] = 'r'\\n self.trans['Ճ'] = 'Cz'\\n self.trans['ճ'] = 'cz'\\n self.trans['Մ'] = 'M'\\n self.trans['մ'] = 'm'\\n self.trans['Յ'] = 'J'\\n self.trans['յ'] = 'j'\\n self.trans['Ն'] = 'N'\\n self.trans['ն'] = 'n'\\n self.trans['Շ'] = 'S'\\n self.trans['շ'] = 's'\\n self.trans['Շ'] = 'Vo'\\n self.trans['շ'] = 'o'\\n self.trans['Չ'] = 'Tsh'\\n self.trans['չ'] = 'tsh'\\n self.trans['Պ'] = 'P'\\n self.trans['պ'] = 'p'\\n self.trans['Ջ'] = 'Dz'\\n self.trans['ջ'] = 'dz'\\n self.trans['Ռ'] = 'R'\\n self.trans['ռ'] = 'r'\\n self.trans['Ս'] = 'S'\\n self.trans['ս'] = 's'\\n self.trans['Վ'] = 'V'\\n self.trans['վ'] = 'v'\\n for char in u\\\"Տ\\\":\\n self.trans[char] = u\\\"T'\\\"\\n for char in u\\\"տ\\\":\\n self.trans[char] = u\\\"t'\\\"\\n self.trans['Ր'] = 'R'\\n self.trans['ր'] = 'r'\\n self.trans['Ց'] = 'Tsh'\\n self.trans['ց'] = 'tsh'\\n self.trans['Ւ'] = 'V'\\n self.trans['ւ'] = 'v'\\n self.trans['Փ'] = 'Ph'\\n self.trans['փ'] = 'ph'\\n self.trans['Ք'] = 'Kh'\\n self.trans['ք'] = 'kh'\\n self.trans['Օ'] = 'O'\\n self.trans['օ'] = 'o'\\n self.trans['Ֆ'] = 'F'\\n self.trans['ֆ'] = 'f'\\n self.trans['և'] = '&'\\n self.trans['՟'] = '.'\\n self.trans['՞'] = '?'\\n self.trans['՝'] = ';'\\n self.trans['՛'] = ''\\n\\n # Tamil\\n for char in u\\\"க்\\\":\\n self.trans[char] = u\\\"k\\\"\\n for char in u\\\"ஙண்ந்ன்\\\":\\n self.trans[char] = u\\\"n\\\"\\n self.trans['ச'] = 'c'\\n for char in u\\\"ஞ்\\\":\\n self.trans[char] = u\\\"ñ\\\"\\n for char in u\\\"ட்\\\":\\n self.trans[char] = u\\\"th\\\"\\n self.trans['த'] = 't'\\n self.trans['ப'] = 'p'\\n for char in u\\\"ம்\\\":\\n self.trans[char] = u\\\"m\\\"\\n for char in u\\\"ய்\\\":\\n self.trans[char] = u\\\"y\\\"\\n for char in u\\\"ர்ழ்ற\\\":\\n self.trans[char] = u\\\"r\\\"\\n for char in u\\\"ல்ள\\\":\\n self.trans[char] = u\\\"l\\\"\\n for char in u\\\"வ்\\\":\\n self.trans[char] = u\\\"v\\\"\\n self.trans['ஜ'] = 'j'\\n self.trans['ஷ'] = 'sh'\\n self.trans['ஸ'] = 's'\\n self.trans['ஹ'] = 'h'\\n for char in u\\\"க்ஷ\\\":\\n self.trans[char] = u\\\"x\\\"\\n self.trans['அ'] = 'a'\\n self.trans['ஆ'] = 'aa'\\n self.trans['இ'] = 'i'\\n self.trans['ஈ'] = 'ii'\\n self.trans['உ'] = 'u'\\n self.trans['ஊ'] = 'uu'\\n self.trans['எ'] = 'e'\\n self.trans['ஏ'] = 'ee'\\n self.trans['ஐ'] = 'ai'\\n self.trans['ஒ'] = 'o'\\n self.trans['ஓ'] = 'oo'\\n self.trans['ஔ'] = 'au'\\n self.trans['ஃ'] = ''\\n\\n # Bengali\\n self.trans['অ'] = 'ô'\\n for char in u\\\"আা\\\":\\n self.trans[char] = u\\\"a\\\"\\n for char in u\\\"ইিঈী\\\":\\n self.trans[char] = u\\\"i\\\"\\n for char in u\\\"উুঊূ\\\":\\n self.trans[char] = u\\\"u\\\"\\n for char in u\\\"ঋৃ\\\":\\n self.trans[char] = u\\\"ri\\\"\\n for char in u\\\"এেয়\\\":\\n self.trans[char] = u\\\"e\\\"\\n for char in u\\\"ঐৈ\\\":\\n self.trans[char] = u\\\"oi\\\"\\n for char in u\\\"ওো\\\":\\n self.trans[char] = u\\\"o\\\"\\n for char in u\\\"ঔৌ\\\":\\n self.trans[char] = \\\"ou\\\"\\n self.trans['্'] = ''\\n self.trans['ৎ'] = 't'\\n self.trans['ং'] = 'n'\\n self.trans['ঃ'] = 'h'\\n self.trans['ঁ'] = 'ñ'\\n self.trans['ক'] = 'k'\\n self.trans['খ'] = 'kh'\\n self.trans['গ'] = 'g'\\n self.trans['ঘ'] = 'gh'\\n self.trans['ঙ'] = 'ng'\\n self.trans['চ'] = 'ch'\\n self.trans['ছ'] = 'chh'\\n self.trans['জ'] = 'j'\\n self.trans['ঝ'] = 'jh'\\n self.trans['ঞ'] = 'n'\\n for char in u\\\"টত\\\":\\n self.trans[char] = u\\\"t\\\"\\n for char in u\\\"ঠথ\\\":\\n self.trans[char] = u\\\"th\\\"\\n for char in u\\\"ডদ\\\":\\n self.trans[char] = u\\\"d\\\"\\n for char in u\\\"ঢধ\\\":\\n self.trans[char] = u\\\"dh\\\"\\n for char in u\\\"ণন\\\":\\n self.trans[char] = u\\\"n\\\"\\n self.trans['প'] = 'p'\\n self.trans['ফ'] = 'ph'\\n self.trans['ব'] = 'b'\\n self.trans['ভ'] = 'bh'\\n self.trans['ম'] = 'm'\\n self.trans['য'] = 'dzh'\\n self.trans['র'] = 'r'\\n self.trans['ল'] = 'l'\\n self.trans['শ'] = 's'\\n self.trans['হ'] = 'h'\\n for char in u\\\"য়\\\":\\n self.trans[char] = u\\\"-\\\"\\n for char in u\\\"ড়\\\":\\n self.trans[char] = u\\\"r\\\"\\n self.trans['ঢ'] = 'rh'\\n self.trans['০'] = '0'\\n self.trans['১'] = '1'\\n self.trans['২'] = '2'\\n self.trans['৩'] = '3'\\n self.trans['৪'] = '4'\\n self.trans['৫'] = '5'\\n self.trans['৬'] = '6'\\n self.trans['৭'] = '7'\\n self.trans['৮'] = '8'\\n self.trans['৯'] = '9'\\n\\n # Thai (because of complications of the alphabet, self.transliterations\\n # are very imprecise here)\\n self.trans['ก'] = 'k'\\n for char in u\\\"ขฃคฅฆ\\\":\\n self.trans[char] = u\\\"kh\\\"\\n self.trans['ง'] = 'ng'\\n for char in u\\\"จฉชฌ\\\":\\n self.trans[char] = u\\\"ch\\\"\\n for char in u\\\"ซศษส\\\":\\n self.trans[char] = u\\\"s\\\"\\n for char in u\\\"ญย\\\":\\n self.trans[char] = u\\\"y\\\"\\n for char in u\\\"ฎด\\\":\\n self.trans[char] = u\\\"d\\\"\\n for char in u\\\"ฏต\\\":\\n self.trans[char] = u\\\"t\\\"\\n for char in u\\\"ฐฑฒถทธ\\\":\\n self.trans[char] = u\\\"th\\\"\\n for char in u\\\"ณน\\\":\\n self.trans[char] = u\\\"n\\\"\\n self.trans['บ'] = 'b'\\n self.trans['ป'] = 'p'\\n for char in u\\\"ผพภ\\\":\\n self.trans[char] = u\\\"ph\\\"\\n for char in u\\\"ฝฟ\\\":\\n self.trans[char] = u\\\"f\\\"\\n self.trans['ม'] = 'm'\\n self.trans['ร'] = 'r'\\n self.trans['ฤ'] = 'rue'\\n self.trans['ๅ'] = ':'\\n for char in u\\\"ลฬ\\\":\\n self.trans[char] = u\\\"l\\\"\\n self.trans['ฦ'] = 'lue'\\n self.trans['ว'] = 'w'\\n for char in u\\\"หฮ\\\":\\n self.trans[char] = u\\\"h\\\"\\n self.trans['อ'] = ''\\n self.trans['ร'] = 'ü'\\n self.trans['ว'] = 'ua'\\n for char in u\\\"อวโิ\\\":\\n self.trans[char] = u\\\"o\\\"\\n for char in u\\\"ะัา\\\":\\n self.trans[char] = u\\\"a\\\"\\n self.trans['ว'] = 'u'\\n self.trans['ำ'] = 'am'\\n self.trans['ิ'] = 'i'\\n self.trans['ี'] = 'i:'\\n self.trans['ึ'] = 'ue'\\n self.trans['ื'] = 'ue:'\\n self.trans['ุ'] = 'u'\\n self.trans['ู'] = 'u:'\\n for char in u\\\"เ็\\\":\\n self.trans[char] = u\\\"e\\\"\\n self.trans['แ'] = 'ae'\\n for char in u\\\"ใไ\\\":\\n self.trans[char] = u\\\"ai\\\"\\n for char in u\\\"่้๊๋็์\\\":\\n self.trans[char] = u\\\"\\\"\\n self.trans['ฯ'] = '.'\\n self.trans['ๆ'] = '(2)'\\n\\n # Korean (Revised Romanization system within possible, incomplete)\\n self.trans['국'] = 'guk'\\n self.trans['명'] = 'myeong'\\n self.trans['검'] = 'geom'\\n self.trans['타'] = 'ta'\\n self.trans['분'] = 'bun'\\n self.trans['사'] = 'sa'\\n self.trans['류'] = 'ryu'\\n self.trans['포'] = 'po'\\n self.trans['르'] = 'reu'\\n self.trans['투'] = 'tu'\\n self.trans['갈'] = 'gal'\\n self.trans['어'] = 'eo'\\n self.trans['노'] = 'no'\\n self.trans['웨'] = 'we'\\n self.trans['이'] = 'i'\\n self.trans['라'] = 'ra'\\n self.trans['틴'] = 'tin'\\n self.trans['루'] = 'ru'\\n self.trans['마'] = 'ma'\\n self.trans['니'] = 'ni'\\n self.trans['아'] = 'a'\\n self.trans['독'] = 'dok'\\n self.trans['일'] = 'il'\\n self.trans['모'] = 'mo'\\n self.trans['크'] = 'keu'\\n self.trans['샤'] = 'sya'\\n self.trans['영'] = 'yeong'\\n self.trans['불'] = 'bul'\\n self.trans['가'] = 'ga'\\n self.trans['리'] = 'ri'\\n self.trans['그'] = 'geu'\\n self.trans['지'] = 'ji'\\n self.trans['야'] = 'ya'\\n self.trans['바'] = 'ba'\\n self.trans['슈'] = 'syu'\\n self.trans['키'] = 'ki'\\n self.trans['프'] = 'peu'\\n self.trans['랑'] = 'rang'\\n self.trans['스'] = 'seu'\\n self.trans['로'] = 'ro'\\n self.trans['메'] = 'me'\\n self.trans['역'] = 'yeok'\\n self.trans['도'] = 'do'\\n\\n # Kannada\\n self.trans[u\\\"ಅ\\\"] = u\\\"a\\\"\\n for char in u\\\"ಆಾ\\\":\\n self.trans[char] = u\\\"aa\\\"\\n for char in u\\\"ಇಿ\\\":\\n self.trans[char] = u\\\"i\\\"\\n for char in u\\\"ಈೀ\\\":\\n self.trans[char] = u\\\"ii\\\"\\n for char in u\\\"ಉು\\\":\\n self.trans[char] = u\\\"u\\\"\\n for char in u\\\"ಊೂ\\\":\\n self.trans[char] = u\\\"uu\\\"\\n for char in u\\\"ಋೂ\\\":\\n self.trans[char] = u\\\"r'\\\"\\n for char in u\\\"ಎೆ\\\":\\n self.trans[char] = u\\\"e\\\"\\n for char in u\\\"ಏೇ\\\":\\n self.trans[char] = u\\\"ee\\\"\\n for char in u\\\"ಐೈ\\\":\\n self.trans[char] = u\\\"ai\\\"\\n for char in u\\\"ಒೊ\\\":\\n self.trans[char] = u\\\"o\\\"\\n for char in u\\\"ಓೋ\\\":\\n self.trans[char] = u\\\"oo\\\"\\n for char in u\\\"ಔೌ\\\":\\n self.trans[char] = u\\\"au\\\"\\n self.trans[u\\\"ಂ\\\"] = u\\\"m'\\\"\\n self.trans[u\\\"ಃ\\\"] = u\\\"h'\\\"\\n self.trans[u\\\"ಕ\\\"] = u\\\"k\\\"\\n self.trans[u\\\"ಖ\\\"] = u\\\"kh\\\"\\n self.trans[u\\\"ಗ\\\"] = u\\\"g\\\"\\n self.trans[u\\\"ಘ\\\"] = u\\\"gh\\\"\\n self.trans[u\\\"ಙ\\\"] = u\\\"ng\\\"\\n self.trans[u\\\"ಚ\\\"] = u\\\"c\\\"\\n self.trans[u\\\"ಛ\\\"] = u\\\"ch\\\"\\n self.trans[u\\\"ಜ\\\"] = u\\\"j\\\"\\n self.trans[u\\\"ಝ\\\"] = u\\\"ny\\\"\\n self.trans[u\\\"ಟ\\\"] = u\\\"tt\\\"\\n self.trans[u\\\"ಠ\\\"] = u\\\"tth\\\"\\n self.trans[u\\\"ಡ\\\"] = u\\\"dd\\\"\\n self.trans[u\\\"ಢ\\\"] = u\\\"ddh\\\"\\n self.trans[u\\\"ಣ\\\"] = u\\\"nn\\\"\\n self.trans[u\\\"ತ\\\"] = u\\\"t\\\"\\n self.trans[u\\\"ಥ\\\"] = u\\\"th\\\"\\n self.trans[u\\\"ದ\\\"] = u\\\"d\\\"\\n self.trans[u\\\"ಧ\\\"] = u\\\"dh\\\"\\n self.trans[u\\\"ನ\\\"] = u\\\"n\\\"\\n self.trans[u\\\"ಪ\\\"] = u\\\"p\\\"\\n self.trans[u\\\"ಫ\\\"] = u\\\"ph\\\"\\n self.trans[u\\\"ಬ\\\"] = u\\\"b\\\"\\n self.trans[u\\\"ಭ\\\"] = u\\\"bh\\\"\\n self.trans[u\\\"ಮ\\\"] = u\\\"m\\\"\\n self.trans[u\\\"ಯ\\\"] = u\\\"y\\\"\\n self.trans[u\\\"ರ\\\"] = u\\\"r\\\"\\n self.trans[u\\\"ಲ\\\"] = u\\\"l\\\"\\n self.trans[u\\\"ವ\\\"] = u\\\"v\\\"\\n self.trans[u\\\"ಶ\\\"] = u\\\"sh\\\"\\n self.trans[u\\\"ಷ\\\"] = u\\\"ss\\\"\\n self.trans[u\\\"ಸ\\\"] = u\\\"s\\\"\\n self.trans[u\\\"ಹ\\\"] = u\\\"h\\\"\\n self.trans[u\\\"ಳ\\\"] = u\\\"ll\\\"\\n self.trans[u\\\"೦\\\"] = u\\\"0\\\"\\n self.trans[u\\\"೧\\\"] = u\\\"1\\\"\\n self.trans[u\\\"೨\\\"] = u\\\"2\\\"\\n self.trans[u\\\"೩\\\"] = u\\\"3\\\"\\n self.trans[u\\\"೪\\\"] = u\\\"4\\\"\\n self.trans[u\\\"೫\\\"] = u\\\"5\\\"\\n self.trans[u\\\"೬\\\"] = u\\\"6\\\"\\n self.trans[u\\\"೭\\\"] = u\\\"7\\\"\\n self.trans[u\\\"೮\\\"] = u\\\"8\\\"\\n self.trans[u\\\"೯\\\"] = u\\\"9\\\"\\n # Telugu\\n self.trans['అ'] = 'a'\\n for char in u\\\"ఆా\\\":\\n self.trans[char] = u\\\"aa\\\"\\n for char in u\\\"ఇి\\\":\\n self.trans[char] = u\\\"i\\\"\\n for char in u\\\"ఈీ\\\":\\n self.trans[char] = u\\\"ii\\\"\\n for char in u\\\"ఉు\\\":\\n self.trans[char] = u\\\"u\\\"\\n for char in u\\\"ఊూ\\\":\\n self.trans[char] = u\\\"uu\\\"\\n for char in u\\\"ఋృ\\\":\\n self.trans[char] = u\\\"r'\\\"\\n for char in u\\\"ౠౄ\\\":\\n self.trans[char] = u'r\\\"'\\n self.trans[u\\\"ఌ\\\"] = u\\\"l'\\\"\\n self.trans[u\\\"ౡ\\\"] = u'l\\\"'\\n for char in u\\\"ఎె\\\":\\n self.trans[char] = u\\\"e\\\"\\n for char in u\\\"ఏే\\\":\\n self.trans[char] = u\\\"ee\\\"\\n for char in u\\\"ఐై\\\":\\n self.trans[char] = u\\\"ai\\\"\\n for char in u\\\"ఒొ\\\":\\n self.trans[char] = u\\\"o\\\"\\n for char in u\\\"ఓో\\\":\\n self.trans[char] = u\\\"oo\\\"\\n for char in u\\\"ఔౌ\\\":\\n self.trans[char] = u\\\"au\\\"\\n self.trans[u\\\"ం\\\"] = u\\\"'\\\"\\n self.trans[u\\\"ః\\\"] = u'\\\"'\\n self.trans[u\\\"క\\\"] = u\\\"k\\\"\\n self.trans[u\\\"ఖ\\\"] = u\\\"kh\\\"\\n self.trans[u\\\"గ\\\"] = u\\\"g\\\"\\n self.trans[u\\\"ఘ\\\"] = u\\\"gh\\\"\\n self.trans[u\\\"ఙ\\\"] = u\\\"ng\\\"\\n self.trans[u\\\"చ\\\"] = u\\\"ts\\\"\\n self.trans[u\\\"ఛ\\\"] = u\\\"tsh\\\"\\n self.trans[u\\\"జ\\\"] = u\\\"j\\\"\\n self.trans[u\\\"ఝ\\\"] = u\\\"jh\\\"\\n self.trans[u\\\"ఞ\\\"] = u\\\"ñ\\\"\\n for char in u\\\"టత\\\":\\n self.trans[char] = u\\\"t\\\"\\n for char in u\\\"ఠథ\\\":\\n self.trans[char] = u\\\"th\\\"\\n for char in u\\\"డద\\\":\\n self.trans[char] = u\\\"d\\\"\\n for char in u\\\"ఢధ\\\":\\n self.trans[char] = u\\\"dh\\\"\\n for char in u\\\"ణన\\\":\\n self.trans[char] = u\\\"n\\\"\\n self.trans[u\\\"ప\\\"] = u\\\"p\\\"\\n self.trans[u\\\"ఫ\\\"] = u\\\"ph\\\"\\n self.trans[u\\\"బ\\\"] = u\\\"b\\\"\\n self.trans[u\\\"భ\\\"] = u\\\"bh\\\"\\n self.trans[u\\\"మ\\\"] = u\\\"m\\\"\\n self.trans[u\\\"య\\\"] = u\\\"y\\\"\\n for char in u\\\"రఱ\\\":\\n self.trans[char] = u\\\"r\\\"\\n for char in u\\\"లళ\\\":\\n self.trans[char] = u\\\"l\\\"\\n self.trans[u\\\"వ\\\"] = u\\\"v\\\"\\n self.trans[u\\\"శ\\\"] = u\\\"sh\\\"\\n for char in u\\\"షస\\\":\\n self.trans[char] = u\\\"s\\\"\\n self.trans[u\\\"హ\\\"] = u\\\"h\\\"\\n self.trans[u\\\"్\\\"] = \\\"\\\"\\n for char in u\\\"ంఁ\\\":\\n self.trans[char] = u\\\"^\\\"\\n self.trans[u\\\"ః\\\"] = u\\\"-\\\"\\n self.trans[u\\\"౦\\\"] = u\\\"0\\\"\\n self.trans[u\\\"౧\\\"] = u\\\"1\\\"\\n self.trans[u\\\"౨\\\"] = u\\\"2\\\"\\n self.trans[u\\\"౩\\\"] = u\\\"3\\\"\\n self.trans[u\\\"౪\\\"] = u\\\"4\\\"\\n self.trans[u\\\"౫\\\"] = u\\\"5\\\"\\n self.trans[u\\\"౬\\\"] = u\\\"6\\\"\\n self.trans[u\\\"౭\\\"] = u\\\"7\\\"\\n self.trans[u\\\"౮\\\"] = u\\\"8\\\"\\n self.trans[u\\\"౯\\\"] = u\\\"9\\\"\\n self.trans[u\\\"౹\\\"] = u\\\"1/4\\\"\\n self.trans[u\\\"౺\\\"] = u\\\"1/2\\\"\\n self.trans[u\\\"౻\\\"] = u\\\"3/4\\\"\\n self.trans[u\\\"౼\\\"] = u\\\"1/16\\\"\\n self.trans[u\\\"౽\\\"] = u\\\"1/8\\\"\\n self.trans[u\\\"౾\\\"] = u\\\"3/16\\\"\\n # Lao - note: pronounciation in initial position is used;\\n # different pronounciation in final position is ignored\\n self.trans[u\\\"ກ\\\"] = \\\"k\\\"\\n for char in u\\\"ຂຄ\\\":\\n self.trans[char] = \\\"kh\\\"\\n self.trans[u\\\"ງ\\\"] = \\\"ng\\\"\\n self.trans[u\\\"ຈ\\\"] = \\\"ch\\\"\\n for char in u\\\"ສຊ\\\":\\n self.trans[char] = \\\"s\\\"\\n self.trans[u\\\"ຍ\\\"] = \\\"ny\\\"\\n self.trans[u\\\"ດ\\\"] = \\\"d\\\"\\n self.trans[u\\\"ຕ\\\"] = \\\"t\\\"\\n for char in u\\\"ຖທ\\\":\\n self.trans[char] = \\\"th\\\"\\n self.trans[u\\\"ນ\\\"] = \\\"n\\\"\\n self.trans[u\\\"ບ\\\"] = \\\"b\\\"\\n self.trans[u\\\"ປ\\\"] = \\\"p\\\"\\n for char in u\\\"ຜພ\\\":\\n self.trans[char] = \\\"ph\\\"\\n for char in u\\\"ຝຟ\\\":\\n self.trans[char] = \\\"f\\\"\\n for char in u\\\"ມໝ\\\":\\n self.trans[char] = \\\"m\\\"\\n self.trans[u\\\"ຢ\\\"] = \\\"y\\\"\\n for char in u\\\"ຣຼ\\\":\\n self.trans[char] = \\\"r\\\"\\n for char in u\\\"ລຼ\\\":\\n self.trans[char] = \\\"l\\\"\\n self.trans[u\\\"ວ\\\"] = \\\"v\\\"\\n self.trans['ຮ'] = 'h'\\n self.trans[u\\\"ອ\\\"] = \\\"'\\\"\\n for char in u\\\"ະັ\\\":\\n self.trans[char] = \\\"a\\\"\\n self.trans[u\\\"ິ\\\"] = \\\"i\\\"\\n self.trans[u\\\"ຶ\\\"] = \\\"ue\\\"\\n self.trans[u\\\"ຸ\\\"] = \\\"u\\\"\\n self.trans[u\\\"ເ\\\"] = u\\\"é\\\"\\n self.trans[u\\\"ແ\\\"] = u\\\"è\\\"\\n for char in u\\\"ໂົາໍ\\\":\\n self.trans[char] = \\\"o\\\"\\n self.trans[u\\\"ຽ\\\"] = \\\"ia\\\"\\n self.trans[u\\\"ເຶ\\\"] = \\\"uea\\\"\\n self.trans[u\\\"ຍ\\\"] = \\\"i\\\"\\n for char in u\\\"ໄໃ\\\":\\n self.trans[char] = \\\"ai\\\"\\n self.trans[u\\\"ຳ\\\"] = \\\"am\\\"\\n self.trans[u\\\"າ\\\"] = \\\"aa\\\"\\n self.trans[u\\\"ີ\\\"] = \\\"ii\\\"\\n self.trans[u\\\"ື\\\"] = \\\"yy\\\"\\n self.trans[u\\\"ູ\\\"] = \\\"uu\\\"\\n self.trans[u\\\"ເ\\\"] = \\\"e\\\"\\n self.trans[u\\\"ແ\\\"] = \\\"ei\\\"\\n self.trans[u\\\"໐\\\"] = \\\"0\\\"\\n self.trans[u\\\"໑\\\"] = \\\"1\\\"\\n self.trans[u\\\"໒\\\"] = \\\"2\\\"\\n self.trans[u\\\"໓\\\"] = \\\"3\\\"\\n self.trans[u\\\"໔\\\"] = \\\"4\\\"\\n self.trans[u\\\"໕\\\"] = \\\"5\\\"\\n self.trans[u\\\"໖\\\"] = \\\"6\\\"\\n self.trans[u\\\"໗\\\"] = \\\"7\\\"\\n self.trans[u\\\"໘\\\"] = \\\"8\\\"\\n self.trans[u\\\"໙\\\"] = \\\"9\\\"\\n # Chinese -- note: incomplete\\n for char in u\\\"埃挨哎唉哀皑癌蔼矮艾碍爱隘\\\":\\n self.trans[char] = u\\\"ai\\\"\\n for char in u\\\"鞍氨安俺按暗岸胺案\\\":\\n self.trans[char] = u\\\"an\\\"\\n for char in u\\\"肮昂盎\\\":\\n self.trans[char] = u\\\"ang\\\"\\n for char in u\\\"凹敖熬翱袄傲奥懊澳\\\":\\n self.trans[char] = u\\\"ao\\\"\\n for char in u\\\"芭捌扒叭吧笆八疤巴拔跋靶把耙坝霸罢爸\\\":\\n self.trans[char] = u\\\"ba\\\"\\n for char in u\\\"白柏百摆佰败拜稗\\\":\\n self.trans[char] = u\\\"bai\\\"\\n for char in u\\\"斑班搬扳般颁板版扮拌伴瓣半办绊\\\":\\n self.trans[char] = u\\\"ban\\\"\\n for char in u\\\"邦帮梆榜膀绑棒磅蚌镑傍谤\\\":\\n self.trans[char] = u\\\"bang\\\"\\n for char in u\\\"苞胞包褒剥薄雹保堡饱宝抱报暴豹鲍爆\\\":\\n self.trans[char] = u\\\"bao\\\"\\n for char in u\\\"杯碑悲卑北辈背贝钡倍狈备惫焙被\\\":\\n self.trans[char] = u\\\"bei\\\"\\n for char in u\\\"奔苯本笨\\\":\\n self.trans[char] = u\\\"ben\\\"\\n for char in u\\\"崩绷甭泵蹦迸\\\":\\n self.trans[char] = u\\\"beng\\\"\\n for char in u\\\"逼鼻比鄙笔彼碧蓖蔽毕毙毖币庇痹闭敝弊必辟壁臂避陛\\\":\\n self.trans[char] = u\\\"bi\\\"\\n for char in u\\\"鞭边编贬扁便变卞辨辩辫遍\\\":\\n self.trans[char] = u\\\"bian\\\"\\n for char in u\\\"标彪膘表\\\":\\n self.trans[char] = u\\\"biao\\\"\\n for char in u\\\"鳖憋别瘪\\\":\\n self.trans[char] = u\\\"bie\\\"\\n for char in u\\\"彬斌濒滨宾摈\\\":\\n self.trans[char] = u\\\"bin\\\"\\n for char in u\\\"兵冰柄丙秉饼炳病并\\\":\\n self.trans[char] = u\\\"bing\\\"\\n for char in u\\\"玻菠播拨钵波博勃搏铂箔伯帛舶脖膊渤泊驳捕卜亳\\\":\\n self.trans[char] = u\\\"bo\\\"\\n for char in u\\\"哺补埠不布步簿部怖\\\":\\n self.trans[char] = u\\\"bu\\\"\\n for char in u\\\"猜裁材才财睬踩采彩菜蔡\\\":\\n self.trans[char] = u\\\"cai\\\"\\n for char in u\\\"餐参蚕残惭惨灿\\\":\\n self.trans[char] = u\\\"can\\\"\\n for char in u\\\"苍舱仓沧藏\\\":\\n self.trans[char] = u\\\"cang\\\"\\n for char in u\\\"操糙槽曹草\\\":\\n self.trans[char] = u\\\"cao\\\"\\n for char in u\\\"厕策侧册测\\\":\\n self.trans[char] = u\\\"ce\\\"\\n for char in u\\\"层蹭\\\":\\n self.trans[char] = u\\\"ceng\\\"\\n for char in u\\\"插叉茬茶查碴搽察岔差诧\\\":\\n self.trans[char] = u\\\"cha\\\"\\n for char in u\\\"拆柴豺\\\":\\n self.trans[char] = u\\\"chai\\\"\\n for char in u\\\"搀掺蝉馋谗缠铲产阐颤\\\":\\n self.trans[char] = u\\\"chan\\\"\\n for char in u\\\"昌猖场尝常长偿肠厂敞畅唱倡\\\":\\n self.trans[char] = u\\\"chang\\\"\\n for char in u\\\"超抄钞朝嘲潮巢吵炒\\\":\\n self.trans[char] = u\\\"chao\\\"\\n for char in u\\\"车扯撤掣彻澈\\\":\\n self.trans[char] = u\\\"che\\\"\\n for char in u\\\"郴臣辰尘晨忱沉陈趁衬\\\":\\n self.trans[char] = u\\\"chen\\\"\\n for char in u\\\"撑称城橙成呈乘程惩澄诚承逞骋秤\\\":\\n self.trans[char] = u\\\"cheng\\\"\\n for char in u\\\"吃痴持匙池迟弛驰耻齿侈尺赤翅斥炽\\\":\\n self.trans[char] = u\\\"chi\\\"\\n for char in u\\\"充冲虫崇宠\\\":\\n self.trans[char] = u\\\"chong\\\"\\n for char in u\\\"抽酬畴踌稠愁筹仇绸瞅丑臭\\\":\\n self.trans[char] = u\\\"chou\\\"\\n for char in u\\\"初出橱厨躇锄雏滁除楚储矗搐触处\\\":\\n self.trans[char] = u\\\"chu\\\"\\n self.trans['揣'] = 'chuai'\\n for char in u\\\"川穿椽传船喘串\\\":\\n self.trans[char] = u\\\"chuan\\\"\\n for char in u\\\"疮窗幢床闯创\\\":\\n self.trans[char] = u\\\"chuang\\\"\\n for char in u\\\"吹炊捶锤垂\\\":\\n self.trans[char] = u\\\"chui\\\"\\n for char in u\\\"春椿醇唇淳纯蠢\\\":\\n self.trans[char] = u\\\"chun\\\"\\n for char in u\\\"戳绰\\\":\\n self.trans[char] = u\\\"chuo\\\"\\n for char in u\\\"疵茨磁雌辞慈瓷词此刺赐次\\\":\\n self.trans[char] = u\\\"ci\\\"\\n for char in u\\\"聪葱囱匆从丛\\\":\\n self.trans[char] = u\\\"cong\\\"\\n self.trans['凑'] = 'cou'\\n for char in u\\\"粗醋簇促\\\":\\n self.trans[char] = u\\\"cu\\\"\\n for char in u\\\"蹿篡窜\\\":\\n self.trans[char] = u\\\"cuan\\\"\\n for char in u\\\"摧崔催脆瘁粹淬翠\\\":\\n self.trans[char] = u\\\"cui\\\"\\n for char in u\\\"村存寸\\\":\\n self.trans[char] = u\\\"cun\\\"\\n for char in u\\\"磋撮搓措挫错\\\":\\n self.trans[char] = u\\\"cuo\\\"\\n for char in u\\\"搭达答瘩打大\\\":\\n self.trans[char] = u\\\"da\\\"\\n for char in u\\\"呆歹傣戴带殆代贷袋待逮怠\\\":\\n self.trans[char] = u\\\"dai\\\"\\n for char in u\\\"耽担丹单郸掸胆旦氮但惮淡诞弹蛋儋\\\":\\n self.trans[char] = u\\\"dan\\\"\\n for char in u\\\"当挡党荡档\\\":\\n self.trans[char] = u\\\"dang\\\"\\n for char in u\\\"刀捣蹈倒岛祷导到稻悼道盗\\\":\\n self.trans[char] = u\\\"dao\\\"\\n for char in u\\\"德得的\\\":\\n self.trans[char] = u\\\"de\\\"\\n for char in u\\\"蹬灯登等瞪凳邓\\\":\\n self.trans[char] = u\\\"deng\\\"\\n for char in u\\\"堤低滴迪敌笛狄涤翟嫡抵底地蒂第帝弟递缔\\\":\\n self.trans[char] = u\\\"di\\\"\\n for char in u\\\"颠掂滇碘点典靛垫电佃甸店惦奠淀殿\\\":\\n self.trans[char] = u\\\"dian\\\"\\n for char in u\\\"碉叼雕凋刁掉吊钓调\\\":\\n self.trans[char] = u\\\"diao\\\"\\n for char in u\\\"跌爹碟蝶迭谍叠\\\":\\n self.trans[char] = u\\\"die\\\"\\n for char in u\\\"丁盯叮钉顶鼎锭定订\\\":\\n self.trans[char] = u\\\"ding\\\"\\n self.trans['丢'] = 'diu'\\n for char in u\\\"东冬董懂动栋侗恫冻洞\\\":\\n self.trans[char] = u\\\"dong\\\"\\n for char in u\\\"兜抖斗陡豆逗痘\\\":\\n self.trans[char] = u\\\"dou\\\"\\n for char in u\\\"都督毒犊独读堵睹赌杜镀肚度渡妒\\\":\\n self.trans[char] = u\\\"du\\\"\\n for char in u\\\"端短锻段断缎\\\":\\n self.trans[char] = u\\\"duan\\\"\\n for char in u\\\"堆兑队对\\\":\\n self.trans[char] = u\\\"dui\\\"\\n for char in u\\\"墩吨蹲敦顿囤钝盾遁\\\":\\n self.trans[char] = u\\\"dun\\\"\\n for char in u\\\"掇哆多夺垛躲朵跺舵剁惰堕\\\":\\n self.trans[char] = u\\\"duo\\\"\\n for char in u\\\"蛾峨鹅俄额讹娥恶厄扼遏鄂饿\\\":\\n self.trans[char] = u\\\"e\\\"\\n for char in u\\\"恩嗯\\\":\\n self.trans[char] = u\\\"en\\\"\\n for char in u\\\"而儿耳尔饵洱二贰\\\":\\n self.trans[char] = u\\\"er\\\"\\n for char in u\\\"发罚筏伐乏阀法珐\\\":\\n self.trans[char] = u\\\"fa\\\"\\n for char in u\\\"藩帆番翻樊矾钒繁凡烦反返范贩犯饭泛\\\":\\n self.trans[char] = u\\\"fan\\\"\\n for char in u\\\"坊芳方肪房防妨仿访纺放\\\":\\n self.trans[char] = u\\\"fang\\\"\\n for char in u\\\"菲非啡飞肥匪诽吠肺废沸费\\\":\\n self.trans[char] = u\\\"fei\\\"\\n for char in u\\\"芬酚吩氛分纷坟焚汾粉奋份忿愤粪\\\":\\n self.trans[char] = u\\\"fen\\\"\\n for char in u\\\"丰封枫蜂峰锋风疯烽逢冯缝讽奉凤\\\":\\n self.trans[char] = u\\\"feng\\\"\\n self.trans['佛'] = 'fo'\\n self.trans['否'] = 'fou'\\n for char in u\\\"夫敷肤孵扶拂辐幅氟符伏俘服浮涪福袱弗甫抚辅俯釜斧脯腑府腐赴副覆赋复傅付阜父腹负富讣附妇缚咐\\\":\\n self.trans[char] = u\\\"fu\\\"\\n for char in u\\\"噶嘎\\\":\\n self.trans[char] = u\\\"ga\\\"\\n for char in u\\\"该改概钙盖溉\\\":\\n self.trans[char] = u\\\"gai\\\"\\n for char in u\\\"干甘杆柑竿肝赶感秆敢赣\\\":\\n self.trans[char] = u\\\"gan\\\"\\n for char in u\\\"冈刚钢缸肛纲岗港杠\\\":\\n self.trans[char] = u\\\"gang\\\"\\n for char in u\\\"篙皋高膏羔糕搞镐稿告\\\":\\n self.trans[char] = u\\\"gao\\\"\\n for char in u\\\"哥歌搁戈鸽胳疙割革葛格蛤阁隔铬个各\\\":\\n self.trans[char] = u\\\"ge\\\"\\n self.trans['给'] = 'gei'\\n for char in u\\\"根跟\\\":\\n self.trans[char] = u\\\"gen\\\"\\n for char in u\\\"耕更庚羹埂耿梗\\\":\\n self.trans[char] = u\\\"geng\\\"\\n for char in u\\\"工攻功恭龚供躬公宫弓巩汞拱贡共\\\":\\n self.trans[char] = u\\\"gong\\\"\\n for char in u\\\"钩勾沟苟狗垢构购够\\\":\\n self.trans[char] = u\\\"gou\\\"\\n for char in u\\\"辜菇咕箍估沽孤姑鼓古蛊骨谷股故顾固雇\\\":\\n self.trans[char] = u\\\"gu\\\"\\n for char in u\\\"刮瓜剐寡挂褂\\\":\\n self.trans[char] = u\\\"gua\\\"\\n for char in u\\\"乖拐怪\\\":\\n self.trans[char] = u\\\"guai\\\"\\n for char in u\\\"棺关官冠观管馆罐惯灌贯\\\":\\n self.trans[char] = u\\\"guan\\\"\\n for char in u\\\"光广逛\\\":\\n self.trans[char] = u\\\"guang\\\"\\n for char in u\\\"瑰规圭硅归龟闺轨鬼诡癸桂柜跪贵刽\\\":\\n self.trans[char] = u\\\"gui\\\"\\n for char in u\\\"辊滚棍\\\":\\n self.trans[char] = u\\\"gun\\\"\\n for char in u\\\"锅郭国果裹过\\\":\\n self.trans[char] = u\\\"guo\\\"\\n self.trans['哈'] = 'ha'\\n for char in u\\\"骸孩海氦亥害骇\\\":\\n self.trans[char] = u\\\"hai\\\"\\n for char in u\\\"酣憨邯韩含涵寒函喊罕翰撼捍旱憾悍焊汗汉\\\":\\n self.trans[char] = u\\\"han\\\"\\n for char in u\\\"夯杭航\\\":\\n self.trans[char] = u\\\"hang\\\"\\n for char in u\\\"壕嚎豪毫郝好耗号浩\\\":\\n self.trans[char] = u\\\"hao\\\"\\n for char in u\\\"呵喝荷菏核禾和何合盒貉阂河涸赫褐鹤贺\\\":\\n self.trans[char] = u\\\"he\\\"\\n for char in u\\\"嘿黑\\\":\\n self.trans[char] = u\\\"hei\\\"\\n for char in u\\\"痕很狠恨\\\":\\n self.trans[char] = u\\\"hen\\\"\\n for char in u\\\"哼亨横衡恒\\\":\\n self.trans[char] = u\\\"heng\\\"\\n for char in u\\\"轰哄烘虹鸿洪宏弘红\\\":\\n self.trans[char] = u\\\"hong\\\"\\n for char in u\\\"喉侯猴吼厚候后\\\":\\n self.trans[char] = u\\\"hou\\\"\\n for char in u\\\"呼乎忽瑚壶葫胡蝴狐糊湖弧虎唬护互沪户\\\":\\n self.trans[char] = u\\\"hu\\\"\\n for char in u\\\"花哗华猾滑画划化话\\\":\\n self.trans[char] = u\\\"hua\\\"\\n for char in u\\\"槐徊怀淮坏\\\":\\n self.trans[char] = u\\\"huai\\\"\\n for char in u\\\"欢环桓还缓换患唤痪豢焕涣宦幻\\\":\\n self.trans[char] = u\\\"huan\\\"\\n for char in u\\\"荒慌黄磺蝗簧皇凰惶煌晃幌恍谎\\\":\\n self.trans[char] = u\\\"huang\\\"\\n for char in u\\\"灰挥辉徽恢蛔回毁悔慧卉惠晦贿秽会烩汇讳诲绘\\\":\\n self.trans[char] = u\\\"hui\\\"\\n for char in u\\\"荤昏婚魂浑混\\\":\\n self.trans[char] = u\\\"hun\\\"\\n for char in u\\\"豁活伙火获或惑霍货祸\\\":\\n self.trans[char] = u\\\"huo\\\"\\n for char in u\\\"击圾基机畸稽积箕肌饥迹激讥鸡姬绩缉吉极棘辑籍集及急疾汲即嫉级挤几脊己蓟技冀季伎祭剂悸济寄寂计记既忌际妓继纪\\\":\\n self.trans[char] = u\\\"ji\\\"\\n for char in u\\\"嘉枷夹佳家加荚颊贾甲钾假稼价架驾嫁\\\":\\n self.trans[char] = u\\\"jia\\\"\\n for char in u\\\"歼监坚尖笺间煎兼肩艰奸缄茧检柬碱硷拣捡简俭剪减荐槛鉴践贱见键箭件健舰剑饯渐溅涧建\\\":\\n self.trans[char] = u\\\"jian\\\"\\n for char in u\\\"僵姜将浆江疆蒋桨奖讲匠酱降\\\":\\n self.trans[char] = u\\\"jiang\\\"\\n for char in u\\\"蕉椒礁焦胶交郊浇骄娇嚼搅铰矫侥脚狡角饺缴绞剿教酵轿较叫窖\\\":\\n self.trans[char] = u\\\"jiao\\\"\\n for char in u\\\"揭接皆秸街阶截劫节桔杰捷睫竭洁结解姐戒藉芥界借介疥诫届\\\":\\n self.trans[char] = u\\\"jie\\\"\\n for char in u\\\"巾筋斤金今津襟紧锦仅谨进靳晋禁近烬浸尽劲\\\":\\n self.trans[char] = u\\\"jin\\\"\\n for char in u\\\"荆兢茎睛晶鲸京惊精粳经井警景颈静境敬镜径痉靖竟竞净\\\":\\n self.trans[char] = u\\\"jing\\\"\\n for char in u\\\"囧炯窘\\\":\\n self.trans[char] = u\\\"jiong\\\"\\n for char in u\\\"揪究纠玖韭久灸九酒厩救旧臼舅咎就疚\\\":\\n self.trans[char] = u\\\"jiu\\\"\\n for char in u\\\"鞠拘狙疽居驹菊局咀矩举沮聚拒据巨具距踞锯俱句惧炬剧\\\":\\n self.trans[char] = u\\\"ju\\\"\\n for char in u\\\"捐鹃娟倦眷卷绢\\\":\\n self.trans[char] = u\\\"juan\\\"\\n for char in u\\\"撅攫抉掘倔爵觉决诀绝\\\":\\n self.trans[char] = u\\\"jue\\\"\\n for char in u\\\"均菌钧军君峻俊竣浚郡骏\\\":\\n self.trans[char] = u\\\"jun\\\"\\n for char in u\\\"喀咖卡咯\\\":\\n self.trans[char] = u\\\"ka\\\"\\n for char in u\\\"开揩楷凯慨\\\":\\n self.trans[char] = u\\\"kai\\\"\\n for char in u\\\"刊堪勘坎砍看\\\":\\n self.trans[char] = u\\\"kan\\\"\\n for char in u\\\"康慷糠扛抗亢炕\\\":\\n self.trans[char] = u\\\"kang\\\"\\n for char in u\\\"考拷烤靠\\\":\\n self.trans[char] = u\\\"kao\\\"\\n for char in u\\\"坷苛柯棵磕颗科壳咳可渴克刻客课\\\":\\n self.trans[char] = u\\\"ke\\\"\\n for char in u\\\"肯啃垦恳\\\":\\n self.trans[char] = u\\\"ken\\\"\\n for char in u\\\"坑吭\\\":\\n self.trans[char] = u\\\"keng\\\"\\n for char in u\\\"空恐孔控\\\":\\n self.trans[char] = u\\\"kong\\\"\\n for char in u\\\"抠口扣寇\\\":\\n self.trans[char] = u\\\"kou\\\"\\n for char in u\\\"枯哭窟苦酷库裤\\\":\\n self.trans[char] = u\\\"ku\\\"\\n for char in u\\\"夸垮挎跨胯\\\":\\n self.trans[char] = u\\\"kua\\\"\\n for char in u\\\"块筷侩快\\\":\\n self.trans[char] = u\\\"kuai\\\"\\n for char in u\\\"宽款\\\":\\n self.trans[char] = u\\\"kuan\\\"\\n for char in u\\\"匡筐狂框矿眶旷况\\\":\\n self.trans[char] = u\\\"kuang\\\"\\n for char in u\\\"亏盔岿窥葵奎魁傀馈愧溃\\\":\\n self.trans[char] = u\\\"kui\\\"\\n for char in u\\\"坤昆捆困\\\":\\n self.trans[char] = u\\\"kun\\\"\\n for char in u\\\"括扩廓阔\\\":\\n self.trans[char] = u\\\"kuo\\\"\\n for char in u\\\"垃拉喇蜡腊辣啦\\\":\\n self.trans[char] = u\\\"la\\\"\\n for char in u\\\"莱来赖\\\":\\n self.trans[char] = u\\\"lai\\\"\\n for char in u\\\"蓝婪栏拦篮阑兰澜谰揽览懒缆烂滥\\\":\\n self.trans[char] = u\\\"lan\\\"\\n for char in u\\\"琅榔狼廊郎朗浪\\\":\\n self.trans[char] = u\\\"lang\\\"\\n for char in u\\\"捞劳牢老佬姥酪烙涝\\\":\\n self.trans[char] = u\\\"lao\\\"\\n for char in u\\\"勒乐\\\":\\n self.trans[char] = u\\\"le\\\"\\n for char in u\\\"雷镭蕾磊累儡垒擂肋类泪\\\":\\n self.trans[char] = u\\\"lei\\\"\\n for char in u\\\"棱楞冷\\\":\\n self.trans[char] = u\\\"leng\\\"\\n for char in u\\\"厘梨犁黎篱狸离漓理李里鲤礼莉荔吏栗丽厉励砾历利傈例俐痢立粒沥隶力璃哩\\\":\\n self.trans[char] = u\\\"li\\\"\\n self.trans['俩'] = 'lia'\\n for char in u\\\"联莲连镰廉怜涟帘敛脸链恋炼练\\\":\\n self.trans[char] = u\\\"lian\\\"\\n for char in u\\\"粮凉梁粱良两辆量晾亮谅\\\":\\n self.trans[char] = u\\\"liang\\\"\\n for char in u\\\"撩聊僚疗燎寥辽潦了撂镣廖料\\\":\\n self.trans[char] = u\\\"liao\\\"\\n for char in u\\\"列裂烈劣猎\\\":\\n self.trans[char] = u\\\"lie\\\"\\n for char in u\\\"琳林磷霖临邻鳞淋凛赁吝拎\\\":\\n self.trans[char] = u\\\"lin\\\"\\n for char in u\\\"玲菱零龄铃伶羚凌灵陵岭领另令\\\":\\n self.trans[char] = u\\\"ling\\\"\\n for char in u\\\"溜琉榴硫馏留刘瘤流柳六\\\":\\n self.trans[char] = u\\\"liu\\\"\\n for char in u\\\"龙聋咙笼窿隆垄拢陇\\\":\\n self.trans[char] = u\\\"long\\\"\\n for char in u\\\"楼娄搂篓漏陋\\\":\\n self.trans[char] = u\\\"lou\\\"\\n for char in u\\\"芦卢颅庐炉掳卤虏鲁麓碌露路赂鹿潞禄录陆戮泸\\\":\\n self.trans[char] = u\\\"lu\\\"\\n for char in u\\\"峦挛孪滦卵乱\\\":\\n self.trans[char] = u\\\"luan\\\"\\n for char in u\\\"掠略\\\":\\n self.trans[char] = u\\\"lue\\\"\\n for char in u\\\"抡轮伦仑沦纶论\\\":\\n self.trans[char] = u\\\"lun\\\"\\n for char in u\\\"萝螺罗逻锣箩骡裸落洛骆络漯\\\":\\n self.trans[char] = u\\\"luo\\\"\\n for char in u\\\"驴吕铝侣旅履屡缕虑氯律率滤绿\\\":\\n self.trans[char] = u\\\"lv\\\"\\n for char in u\\\"妈麻玛码蚂马骂嘛吗\\\":\\n self.trans[char] = u\\\"ma\\\"\\n for char in u\\\"埋买麦卖迈脉\\\":\\n self.trans[char] = u\\\"mai\\\"\\n for char in u\\\"瞒馒蛮满蔓曼慢漫谩\\\":\\n self.trans[char] = u\\\"man\\\"\\n for char in u\\\"芒茫盲氓忙莽\\\":\\n self.trans[char] = u\\\"mang\\\"\\n for char in u\\\"猫茅锚毛矛铆卯茂冒帽貌贸\\\":\\n self.trans[char] = u\\\"mao\\\"\\n self.trans['么'] = 'me'\\n for char in u\\\"玫枚梅酶霉煤没眉媒镁每美昧寐妹媚\\\":\\n self.trans[char] = u\\\"mei\\\"\\n for char in u\\\"门闷们\\\":\\n self.trans[char] = u\\\"men\\\"\\n for char in u\\\"萌蒙檬盟锰猛梦孟\\\":\\n self.trans[char] = u\\\"meng\\\"\\n for char in u\\\"眯醚靡糜迷谜弥米秘觅泌蜜密幂\\\":\\n self.trans[char] = u\\\"mi\\\"\\n for char in u\\\"棉眠绵冕免勉娩缅面\\\":\\n self.trans[char] = u\\\"mian\\\"\\n for char in u\\\"苗描瞄藐秒渺庙妙\\\":\\n self.trans[char] = u\\\"miao\\\"\\n for char in u\\\"蔑灭\\\":\\n self.trans[char] = u\\\"mie\\\"\\n for char in u\\\"民抿皿敏悯闽\\\":\\n self.trans[char] = u\\\"min\\\"\\n for char in u\\\"明螟鸣铭名命\\\":\\n self.trans[char] = u\\\"ming\\\"\\n self.trans['谬'] = 'miu'\\n for char in u\\\"摸摹蘑模膜磨摩魔抹末莫墨默沫漠寞陌\\\":\\n self.trans[char] = u\\\"mo\\\"\\n for char in u\\\"谋牟某\\\":\\n self.trans[char] = u\\\"mou\\\"\\n for char in u\\\"拇牡亩姆母墓暮幕募慕木目睦牧穆\\\":\\n self.trans[char] = u\\\"mu\\\"\\n for char in u\\\"拿哪呐钠那娜纳\\\":\\n self.trans[char] = u\\\"na\\\"\\n for char in u\\\"氖乃奶耐奈\\\":\\n self.trans[char] = u\\\"nai\\\"\\n for char in u\\\"南男难\\\":\\n self.trans[char] = u\\\"nan\\\"\\n self.trans['囊'] = 'nang'\\n for char in u\\\"挠脑恼闹淖\\\":\\n self.trans[char] = u\\\"nao\\\"\\n self.trans['呢'] = 'ne'\\n for char in u\\\"馁内\\\":\\n self.trans[char] = u\\\"nei\\\"\\n self.trans['嫩'] = 'nen'\\n self.trans['能'] = 'neng'\\n for char in u\\\"妮霓倪泥尼拟你匿腻逆溺\\\":\\n self.trans[char] = u\\\"ni\\\"\\n for char in u\\\"蔫拈年碾撵捻念\\\":\\n self.trans[char] = u\\\"nian\\\"\\n for char in u\\\"娘酿\\\":\\n self.trans[char] = u\\\"niang\\\"\\n for char in u\\\"鸟尿\\\":\\n self.trans[char] = u\\\"niao\\\"\\n for char in u\\\"捏聂孽啮镊镍涅\\\":\\n self.trans[char] = u\\\"nie\\\"\\n self.trans['您'] = 'nin'\\n for char in u\\\"柠狞凝宁拧泞\\\":\\n self.trans[char] = u\\\"ning\\\"\\n for char in u\\\"牛扭钮纽\\\":\\n self.trans[char] = u\\\"niu\\\"\\n for char in u\\\"脓浓农弄\\\":\\n self.trans[char] = u\\\"nong\\\"\\n for char in u\\\"奴努怒\\\":\\n self.trans[char] = u\\\"nu\\\"\\n self.trans['暖'] = 'nuan'\\n for char in u\\\"虐疟\\\":\\n self.trans[char] = u\\\"nue\\\"\\n for char in u\\\"挪懦糯诺\\\":\\n self.trans[char] = u\\\"nuo\\\"\\n self.trans['女'] = 'nv'\\n self.trans['哦'] = 'o'\\n for char in u\\\"欧鸥殴藕呕偶沤\\\":\\n self.trans[char] = u\\\"ou\\\"\\n for char in u\\\"啪趴爬帕怕琶\\\":\\n self.trans[char] = u\\\"pa\\\"\\n for char in u\\\"拍排牌徘湃派\\\":\\n self.trans[char] = u\\\"pai\\\"\\n for char in u\\\"攀潘盘磐盼畔判叛\\\":\\n self.trans[char] = u\\\"pan\\\"\\n for char in u\\\"乓庞旁耪胖\\\":\\n self.trans[char] = u\\\"pang\\\"\\n for char in u\\\"抛咆刨炮袍跑泡\\\":\\n self.trans[char] = u\\\"pao\\\"\\n for char in u\\\"呸胚培裴赔陪配佩沛\\\":\\n self.trans[char] = u\\\"pei\\\"\\n for char in u\\\"喷盆\\\":\\n self.trans[char] = u\\\"pen\\\"\\n for char in u\\\"砰抨烹澎彭蓬棚硼篷膨朋鹏捧碰\\\":\\n self.trans[char] = u\\\"peng\\\"\\n for char in u\\\"坯砒霹批披劈琵毗啤脾疲皮匹痞僻屁譬\\\":\\n self.trans[char] = u\\\"pi\\\"\\n for char in u\\\"篇偏片骗\\\":\\n self.trans[char] = u\\\"pian\\\"\\n for char in u\\\"飘漂瓢票\\\":\\n self.trans[char] = u\\\"piao\\\"\\n for char in u\\\"撇瞥\\\":\\n self.trans[char] = u\\\"pie\\\"\\n for char in u\\\"拼频贫品聘\\\":\\n self.trans[char] = u\\\"pin\\\"\\n for char in u\\\"乒坪苹萍平凭瓶评屏\\\":\\n self.trans[char] = u\\\"ping\\\"\\n for char in u\\\"坡泼颇婆破魄迫粕剖\\\":\\n self.trans[char] = u\\\"po\\\"\\n for char in u\\\"扑铺仆莆葡菩蒲埔朴圃普浦谱曝瀑濮\\\":\\n self.trans[char] = u\\\"pu\\\"\\n for char in u\\\"期欺栖戚妻七凄漆柒沏其棋奇歧畦崎脐齐旗祈祁骑起岂乞企启契砌器气迄弃汽泣讫\\\":\\n self.trans[char] = u\\\"qi\\\"\\n for char in u\\\"掐恰洽\\\":\\n self.trans[char] = u\\\"qia\\\"\\n for char in u\\\"牵扦钎铅千迁签仟谦乾黔钱钳前潜遣浅谴堑嵌欠歉\\\":\\n self.trans[char] = u\\\"qian\\\"\\n for char in u\\\"枪呛腔羌墙蔷强抢\\\":\\n self.trans[char] = u\\\"qiang\\\"\\n for char in u\\\"橇锹敲悄桥瞧乔侨巧鞘撬翘峭俏窍\\\":\\n self.trans[char] = u\\\"qiao\\\"\\n for char in u\\\"切茄且怯窃\\\":\\n self.trans[char] = u\\\"qie\\\"\\n for char in u\\\"钦侵亲秦琴勤芹擒禽寝沁\\\":\\n self.trans[char] = u\\\"qin\\\"\\n for char in u\\\"青轻氢倾卿清擎晴氰情顷请庆\\\":\\n self.trans[char] = u\\\"qing\\\"\\n for char in u\\\"琼穷\\\":\\n self.trans[char] = u\\\"qiong\\\"\\n for char in u\\\"秋丘邱球求囚酋泅\\\":\\n self.trans[char] = u\\\"qiu\\\"\\n for char in u\\\"趋区蛆曲躯屈驱渠取娶龋趣去\\\":\\n self.trans[char] = u\\\"qu\\\"\\n for char in u\\\"圈颧权醛泉全痊拳犬券劝\\\":\\n self.trans[char] = u\\\"quan\\\"\\n for char in u\\\"缺炔瘸却鹊榷确雀\\\":\\n self.trans[char] = u\\\"que\\\"\\n for char in u\\\"裙群\\\":\\n self.trans[char] = u\\\"qun\\\"\\n for char in u\\\"然燃冉染\\\":\\n self.trans[char] = u\\\"ran\\\"\\n for char in u\\\"瓤壤攘嚷让\\\":\\n self.trans[char] = u\\\"rang\\\"\\n for char in u\\\"饶扰绕\\\":\\n self.trans[char] = u\\\"rao\\\"\\n for char in u\\\"惹热\\\":\\n self.trans[char] = u\\\"re\\\"\\n for char in u\\\"壬仁人忍韧任认刃妊纫\\\":\\n self.trans[char] = u\\\"ren\\\"\\n for char in u\\\"扔仍\\\":\\n self.trans[char] = u\\\"reng\\\"\\n self.trans['日'] = 'ri'\\n for char in u\\\"戎茸蓉荣融熔溶容绒冗\\\":\\n self.trans[char] = u\\\"rong\\\"\\n for char in u\\\"揉柔肉\\\":\\n self.trans[char] = u\\\"rou\\\"\\n for char in u\\\"茹蠕儒孺如辱乳汝入褥\\\":\\n self.trans[char] = u\\\"ru\\\"\\n for char in u\\\"软阮\\\":\\n self.trans[char] = u\\\"ruan\\\"\\n for char in u\\\"蕊瑞锐\\\":\\n self.trans[char] = u\\\"rui\\\"\\n for char in u\\\"闰润\\\":\\n self.trans[char] = u\\\"run\\\"\\n for char in u\\\"若弱\\\":\\n self.trans[char] = u\\\"ruo\\\"\\n for char in u\\\"撒洒萨\\\":\\n self.trans[char] = u\\\"sa\\\"\\n for char in u\\\"腮鳃塞赛\\\":\\n self.trans[char] = u\\\"sai\\\"\\n for char in u\\\"三叁伞散\\\":\\n self.trans[char] = u\\\"san\\\"\\n for char in u\\\"桑嗓丧\\\":\\n self.trans[char] = u\\\"sang\\\"\\n for char in u\\\"搔骚扫嫂\\\":\\n self.trans[char] = u\\\"sao\\\"\\n for char in u\\\"瑟色涩\\\":\\n self.trans[char] = u\\\"se\\\"\\n self.trans['森'] = 'sen'\\n self.trans['僧'] = 'seng'\\n for char in u\\\"莎砂杀刹沙纱傻啥煞\\\":\\n self.trans[char] = u\\\"sha\\\"\\n for char in u\\\"筛晒\\\":\\n self.trans[char] = u\\\"shai\\\"\\n for char in u\\\"珊苫杉山删煽衫闪陕擅赡膳善汕扇缮\\\":\\n self.trans[char] = u\\\"shan\\\"\\n for char in u\\\"墒伤商赏晌上尚裳\\\":\\n self.trans[char] = u\\\"shang\\\"\\n for char in u\\\"梢捎稍烧芍勺韶少哨邵绍\\\":\\n self.trans[char] = u\\\"shao\\\"\\n for char in u\\\"奢赊蛇舌舍赦摄射慑涉社设\\\":\\n self.trans[char] = u\\\"she\\\"\\n for char in u\\\"砷申呻伸身深娠绅神沈审婶甚肾慎渗\\\":\\n self.trans[char] = u\\\"shen\\\"\\n for char in u\\\"声生甥牲升绳省盛剩胜圣\\\":\\n self.trans[char] = u\\\"sheng\\\"\\n for char in u\\\"师失狮施湿诗尸虱十石拾时什食蚀实识史矢使屎驶始式示士世柿事拭誓逝势是嗜噬适仕侍释饰氏市恃室视试\\\":\\n self.trans[char] = u\\\"shi\\\"\\n for char in u\\\"收手首守寿授售受瘦兽\\\":\\n self.trans[char] = u\\\"shou\\\"\\n for char in u\\\"蔬枢梳殊抒输叔舒淑疏书赎孰熟薯暑曙署蜀黍鼠属术述树束戍竖墅庶数漱恕\\\":\\n self.trans[char] = u\\\"shu\\\"\\n for char in u\\\"刷耍\\\":\\n self.trans[char] = u\\\"shua\\\"\\n for char in u\\\"摔衰甩帅\\\":\\n self.trans[char] = u\\\"shuai\\\"\\n for char in u\\\"栓拴\\\":\\n self.trans[char] = u\\\"shuan\\\"\\n for char in u\\\"霜双爽\\\":\\n self.trans[char] = u\\\"shuang\\\"\\n for char in u\\\"谁水睡税\\\":\\n self.trans[char] = u\\\"shui\\\"\\n for char in u\\\"吮瞬顺舜\\\":\\n self.trans[char] = u\\\"shun\\\"\\n for char in u\\\"说硕朔烁\\\":\\n self.trans[char] = u\\\"shuo\\\"\\n for char in u\\\"斯撕嘶思私司丝死肆寺嗣四伺似饲巳\\\":\\n self.trans[char] = u\\\"si\\\"\\n for char in u\\\"松耸怂颂送宋讼诵\\\":\\n self.trans[char] = u\\\"song\\\"\\n for char in u\\\"搜艘擞\\\":\\n self.trans[char] = u\\\"sou\\\"\\n for char in u\\\"嗽苏酥俗素速粟僳塑溯宿诉肃\\\":\\n self.trans[char] = u\\\"su\\\"\\n for char in u\\\"酸蒜算\\\":\\n self.trans[char] = u\\\"suan\\\"\\n for char in u\\\"虽隋随绥髓碎岁穗遂隧祟\\\":\\n self.trans[char] = u\\\"sui\\\"\\n for char in u\\\"孙损笋\\\":\\n self.trans[char] = u\\\"sun\\\"\\n for char in u\\\"蓑梭唆缩琐索锁所\\\":\\n self.trans[char] = u\\\"suo\\\"\\n for char in u\\\"塌他它她塔獭挞蹋踏\\\":\\n self.trans[char] = u\\\"ta\\\"\\n for char in u\\\"胎苔抬台泰酞太态汰\\\":\\n self.trans[char] = u\\\"tai\\\"\\n for char in u\\\"坍摊贪瘫滩坛檀痰潭谭谈坦毯袒碳探叹炭\\\":\\n self.trans[char] = u\\\"tan\\\"\\n for char in u\\\"汤塘搪堂棠膛唐糖倘躺淌趟烫\\\":\\n self.trans[char] = u\\\"tang\\\"\\n for char in u\\\"掏涛滔绦萄桃逃淘陶讨套\\\":\\n self.trans[char] = u\\\"tao\\\"\\n self.trans['特'] = 'te'\\n for char in u\\\"藤腾疼誊\\\":\\n self.trans[char] = u\\\"teng\\\"\\n for char in u\\\"梯剔踢锑提题蹄啼体替嚏惕涕剃屉\\\":\\n self.trans[char] = u\\\"ti\\\"\\n for char in u\\\"兲天添填田甜恬舔腆\\\":\\n self.trans[char] = u\\\"tian\\\"\\n for char in u\\\"挑条迢眺跳\\\":\\n self.trans[char] = u\\\"tiao\\\"\\n for char in u\\\"贴铁帖\\\":\\n self.trans[char] = u\\\"tie\\\"\\n for char in u\\\"厅听烃汀廷停亭庭挺艇\\\":\\n self.trans[char] = u\\\"ting\\\"\\n for char in u\\\"通桐酮瞳同铜彤童桶捅筒统痛\\\":\\n self.trans[char] = u\\\"tong\\\"\\n for char in u\\\"偷投头透\\\":\\n self.trans[char] = u\\\"tou\\\"\\n for char in u\\\"凸秃突图徒途涂屠土吐兔\\\":\\n self.trans[char] = u\\\"tu\\\"\\n for char in u\\\"湍团\\\":\\n self.trans[char] = u\\\"tuan\\\"\\n for char in u\\\"推颓腿蜕褪退\\\":\\n self.trans[char] = u\\\"tui\\\"\\n for char in u\\\"吞屯臀\\\":\\n self.trans[char] = u\\\"tun\\\"\\n for char in u\\\"拖托脱鸵陀驮驼椭妥拓唾\\\":\\n self.trans[char] = u\\\"tuo\\\"\\n for char in u\\\"挖哇蛙洼娃瓦袜\\\":\\n self.trans[char] = u\\\"wa\\\"\\n for char in u\\\"歪外\\\":\\n self.trans[char] = u\\\"wai\\\"\\n for char in u\\\"豌弯湾玩顽丸烷完碗挽晚皖惋宛婉万腕莞\\\":\\n self.trans[char] = u\\\"wan\\\"\\n for char in u\\\"汪王亡枉网往旺望忘妄\\\":\\n self.trans[char] = u\\\"wang\\\"\\n for char in u\\\"威巍微危韦违桅围唯惟为潍维苇萎委伟伪尾纬未蔚味畏胃喂魏位渭谓尉慰卫\\\":\\n self.trans[char] = u\\\"wei\\\"\\n for char in u\\\"瘟温蚊文闻纹吻稳紊问\\\":\\n self.trans[char] = u\\\"wen\\\"\\n for char in u\\\"嗡翁瓮\\\":\\n self.trans[char] = u\\\"weng\\\"\\n for char in u\\\"挝蜗涡窝我斡卧握沃\\\":\\n self.trans[char] = u\\\"wo\\\"\\n for char in u\\\"巫呜钨乌污诬屋无芜梧吾吴毋武五捂午舞伍侮坞戊雾晤物勿务悟误\\\":\\n self.trans[char] = u\\\"wu\\\"\\n for char in u\\\"昔熙析西硒矽晰嘻吸锡牺稀息希悉膝夕惜熄烯溪汐犀檄袭席习媳喜铣洗系隙戏细\\\":\\n self.trans[char] = u\\\"xi\\\"\\n for char in u\\\"瞎虾匣霞辖暇峡侠狭下厦夏吓\\\":\\n self.trans[char] = u\\\"xia\\\"\\n for char in u\\\"掀锨先仙鲜纤咸贤衔舷闲涎弦嫌显险现献县腺馅羡宪陷限线\\\":\\n self.trans[char] = u\\\"xian\\\"\\n for char in u\\\"相厢镶香箱襄湘乡翔祥详想响享项巷橡像向象\\\":\\n self.trans[char] = u\\\"xiang\\\"\\n for char in u\\\"萧硝霄削哮嚣销消宵淆晓小孝校肖啸笑效\\\":\\n self.trans[char] = u\\\"xiao\\\"\\n for char in u\\\"楔些歇蝎鞋协挟携邪斜胁谐写械卸蟹懈泄泻谢屑\\\":\\n self.trans[char] = u\\\"xie\\\"\\n for char in u\\\"薪芯锌欣辛新忻心信衅\\\":\\n self.trans[char] = u\\\"xin\\\"\\n for char in u\\\"星腥猩惺兴刑型形邢行醒幸杏性姓\\\":\\n self.trans[char] = u\\\"xing\\\"\\n for char in u\\\"兄凶胸匈汹雄熊\\\":\\n self.trans[char] = u\\\"xiong\\\"\\n for char in u\\\"休修羞朽嗅锈秀袖绣\\\":\\n self.trans[char] = u\\\"xiu\\\"\\n for char in u\\\"墟戌需虚嘘须徐许蓄酗叙旭序畜恤絮婿绪续\\\":\\n self.trans[char] = u\\\"xu\\\"\\n for char in u\\\"轩喧宣悬旋玄选癣眩绚\\\":\\n self.trans[char] = u\\\"xuan\\\"\\n for char in u\\\"靴薛学穴雪血\\\":\\n self.trans[char] = u\\\"xue\\\"\\n for char in u\\\"勋熏循旬询寻驯巡殉汛训讯逊迅\\\":\\n self.trans[char] = u\\\"xun\\\"\\n for char in u\\\"压押鸦鸭呀丫芽牙蚜崖衙涯雅哑亚讶\\\":\\n self.trans[char] = u\\\"ya\\\"\\n for char in u\\\"焉咽阉烟淹盐严研蜒岩延言颜阎炎沿奄掩眼衍演艳堰燕厌砚雁唁彦焰宴谚验\\\":\\n self.trans[char] = u\\\"yan\\\"\\n for char in u\\\"殃央鸯秧杨扬佯疡羊洋阳氧仰痒养样漾\\\":\\n self.trans[char] = u\\\"yang\\\"\\n for char in u\\\"邀腰妖瑶摇尧遥窑谣姚咬舀药要耀\\\":\\n self.trans[char] = u\\\"yao\\\"\\n for char in u\\\"椰噎耶爷野冶也页掖业叶曳腋夜液\\\":\\n self.trans[char] = u\\\"ye\\\"\\n for char in u\\\"一壹医揖铱依伊衣颐夷遗移仪胰疑沂宜姨彝椅蚁倚已乙矣以艺抑易邑屹亿役臆逸肄疫亦裔意毅忆义益溢诣议谊译异翼翌绎\\\":\\n self.trans[char] = u\\\"yi\\\"\\n for char in u\\\"茵荫因殷音阴姻吟银淫寅饮尹引隐印\\\":\\n self.trans[char] = u\\\"yin\\\"\\n for char in u\\\"英樱婴鹰应缨莹萤营荧蝇迎赢盈影颖硬映\\\":\\n self.trans[char] = u\\\"ying\\\"\\n self.trans['哟'] = 'yo'\\n for char in u\\\"拥佣臃痈庸雍踊蛹咏泳涌永恿勇用\\\":\\n self.trans[char] = u\\\"yong\\\"\\n for char in u\\\"幽优悠忧尤由邮铀犹油游酉有友右佑釉诱又幼迂\\\":\\n self.trans[char] = u\\\"you\\\"\\n for char in u\\\"淤于盂榆虞愚舆余俞逾鱼愉渝渔隅予娱雨与屿禹宇语羽玉域芋郁吁遇喻峪御愈欲狱育誉浴寓裕预豫驭\\\":\\n self.trans[char] = u\\\"yu\\\"\\n for char in u\\\"鸳渊冤元垣袁原援辕园员圆猿源缘远苑愿怨院\\\":\\n self.trans[char] = u\\\"yuan\\\"\\n for char in u\\\"曰约越跃钥岳粤月悦阅\\\":\\n self.trans[char] = u\\\"yue\\\"\\n for char in u\\\"耘云郧匀陨允运蕴酝晕韵孕\\\":\\n self.trans[char] = u\\\"yun\\\"\\n for char in u\\\"匝砸杂\\\":\\n self.trans[char] = u\\\"za\\\"\\n for char in u\\\"栽哉灾宰载再在\\\":\\n self.trans[char] = u\\\"zai\\\"\\n for char in u\\\"咱攒暂赞\\\":\\n self.trans[char] = u\\\"zan\\\"\\n for char in u\\\"赃脏葬\\\":\\n self.trans[char] = u\\\"zang\\\"\\n for char in u\\\"遭糟凿藻枣早澡蚤躁噪造皂灶燥\\\":\\n self.trans[char] = u\\\"zao\\\"\\n for char in u\\\"责择则泽\\\":\\n self.trans[char] = u\\\"ze\\\"\\n self.trans['贼'] = 'zei'\\n self.trans['怎'] = 'zen'\\n for char in u\\\"增憎曾赠\\\":\\n self.trans[char] = u\\\"zeng\\\"\\n for char in u\\\"扎喳渣札轧铡闸眨栅榨咋乍炸诈\\\":\\n self.trans[char] = u\\\"zha\\\"\\n for char in u\\\"摘斋宅窄债寨\\\":\\n self.trans[char] = u\\\"zhai\\\"\\n for char in u\\\"瞻毡詹粘沾盏斩辗崭展蘸栈占战站湛绽\\\":\\n self.trans[char] = u\\\"zhan\\\"\\n for char in u\\\"樟章彰漳张掌涨杖丈帐账仗胀瘴障\\\":\\n self.trans[char] = u\\\"zhang\\\"\\n for char in u\\\"招昭找沼赵照罩兆肇召\\\":\\n self.trans[char] = u\\\"zhao\\\"\\n for char in u\\\"遮折哲蛰辙者锗蔗这浙\\\":\\n self.trans[char] = u\\\"zhe\\\"\\n for char in u\\\"珍斟真甄砧臻贞针侦枕疹诊震振镇阵圳\\\":\\n self.trans[char] = u\\\"zhen\\\"\\n for char in u\\\"蒸挣睁征狰争怔整拯正政帧症郑证\\\":\\n self.trans[char] = u\\\"zheng\\\"\\n for char in u\\\"芝枝支吱蜘知肢脂汁之织职直植殖执值侄址指止趾只旨纸志挚掷至致置帜峙制智秩稚质炙痔滞治窒\\\":\\n self.trans[char] = u\\\"zhi\\\"\\n for char in u\\\"中盅忠钟衷终种肿重仲众\\\":\\n self.trans[char] = u\\\"zhong\\\"\\n for char in u\\\"舟周州洲诌粥轴肘帚咒皱宙昼骤\\\":\\n self.trans[char] = u\\\"zhou\\\"\\n for char in u\\\"珠株蛛朱猪诸诛逐竹烛煮拄瞩嘱主著柱助蛀贮铸筑住注祝驻\\\":\\n self.trans[char] = u\\\"zhu\\\"\\n for char in u\\\"抓爪\\\":\\n self.trans[char] = u\\\"zhua\\\"\\n self.trans['拽'] = 'zhuai'\\n for char in u\\\"专砖转撰赚篆\\\":\\n self.trans[char] = u\\\"zhuan\\\"\\n for char in u\\\"桩庄装妆撞壮状\\\":\\n self.trans[char] = u\\\"zhuang\\\"\\n for char in u\\\"椎锥追赘坠缀\\\":\\n self.trans[char] = u\\\"zhui\\\"\\n for char in u\\\"谆准\\\":\\n self.trans[char] = u\\\"zhun\\\"\\n for char in u\\\"捉拙卓桌琢茁酌啄着灼浊\\\":\\n self.trans[char] = u\\\"zhuo\\\"\\n for char in u\\\"兹咨资姿滋淄孜紫仔籽滓子自渍字\\\":\\n self.trans[char] = u\\\"zi\\\"\\n for char in u\\\"鬃棕踪宗综总纵\\\":\\n self.trans[char] = u\\\"zong\\\"\\n for char in u\\\"邹走奏揍\\\":\\n self.trans[char] = u\\\"zou\\\"\\n for char in u\\\"租足卒族祖诅阻组\\\":\\n self.trans[char] = u\\\"zu\\\"\\n for char in u\\\"钻纂\\\":\\n self.trans[char] = u\\\"zuan\\\"\\n for char in u\\\"嘴醉最罪\\\":\\n self.trans[char] = u\\\"zui\\\"\\n for char in u\\\"尊遵\\\":\\n self.trans[char] = u\\\"zun\\\"\\n for char in u\\\"昨左佐柞做作坐座\\\":\\n self.trans[char] = u\\\"zuo\\\"\\n # from: https://www.wikidata.org/wiki/MediaWiki:Gadget-SimpleTransliterate.js\\n self.trans[u\\\"ଂ\\\"] = \\\"anusvara\\\"\\n self.trans[u\\\"ઇ\\\"] = \\\"i\\\"\\n self.trans[u\\\"എ\\\"] = \\\"e\\\"\\n self.trans[u\\\"ગ\\\"] = \\\"ga\\\"\\n self.trans[u\\\"ਜ\\\"] = \\\"ja\\\"\\n self.trans[u\\\"ഞ\\\"] = \\\"nya\\\"\\n self.trans[u\\\"ଢ\\\"] = \\\"ddha\\\"\\n self.trans[u\\\"ધ\\\"] = \\\"dha\\\"\\n self.trans[u\\\"ਬ\\\"] = \\\"ba\\\"\\n self.trans[u\\\"മ\\\"] = \\\"ma\\\"\\n self.trans[u\\\"ଲ\\\"] = \\\"la\\\"\\n self.trans[u\\\"ષ\\\"] = \\\"ssa\\\"\\n self.trans[u\\\"਼\\\"] = \\\"nukta\\\"\\n self.trans[u\\\"ാ\\\"] = \\\"aa\\\"\\n self.trans[u\\\"ୂ\\\"] = \\\"uu\\\"\\n self.trans[u\\\"ે\\\"] = \\\"e\\\"\\n self.trans[u\\\"ੌ\\\"] = \\\"au\\\"\\n self.trans[u\\\"ൎ\\\"] = \\\"reph\\\"\\n self.trans[u\\\"ੜ\\\"] = \\\"rra\\\"\\n self.trans[u\\\"՞\\\"] = \\\"?\\\"\\n self.trans[u\\\"ୢ\\\"] = \\\"l\\\"\\n self.trans[u\\\"૧\\\"] = \\\"1\\\"\\n self.trans[u\\\"੬\\\"] = \\\"6\\\"\\n self.trans[u\\\"൮\\\"] = \\\"8\\\"\\n self.trans[u\\\"୲\\\"] = \\\"quarter\\\"\\n self.trans[u\\\"ൾ\\\"] = \\\"ll\\\"\\n self.trans[u\\\"ਇ\\\"] = \\\"i\\\"\\n self.trans[u\\\"ഉ\\\"] = \\\"u\\\"\\n self.trans[u\\\"ઌ\\\"] = \\\"l\\\"\\n self.trans[u\\\"ਗ\\\"] = \\\"ga\\\"\\n self.trans[u\\\"ങ\\\"] = \\\"nga\\\"\\n self.trans[u\\\"ଝ\\\"] = \\\"jha\\\"\\n self.trans[u\\\"જ\\\"] = \\\"ja\\\"\\n self.trans[u\\\"؟\\\"] = \\\"?\\\"\\n self.trans[u\\\"ਧ\\\"] = \\\"dha\\\"\\n self.trans[u\\\"ഩ\\\"] = \\\"nnna\\\"\\n self.trans[u\\\"ଭ\\\"] = \\\"bha\\\"\\n self.trans[u\\\"બ\\\"] = \\\"ba\\\"\\n self.trans[u\\\"ഹ\\\"] = \\\"ha\\\"\\n self.trans[u\\\"ଽ\\\"] = \\\"avagraha\\\"\\n self.trans[u\\\"઼\\\"] = \\\"nukta\\\"\\n self.trans[u\\\"ੇ\\\"] = \\\"ee\\\"\\n self.trans[u\\\"୍\\\"] = \\\"virama\\\"\\n self.trans[u\\\"ૌ\\\"] = \\\"au\\\"\\n self.trans[u\\\"੧\\\"] = \\\"1\\\"\\n self.trans[u\\\"൩\\\"] = \\\"3\\\"\\n self.trans[u\\\"୭\\\"] = \\\"7\\\"\\n self.trans[u\\\"૬\\\"] = \\\"6\\\"\\n self.trans[u\\\"൹\\\"] = \\\"mark\\\"\\n self.trans[u\\\"ਖ਼\\\"] = \\\"khha\\\"\\n self.trans[u\\\"ਂ\\\"] = \\\"bindi\\\"\\n self.trans[u\\\"ഈ\\\"] = \\\"ii\\\"\\n self.trans[u\\\"ઍ\\\"] = \\\"e\\\"\\n self.trans[u\\\"ଌ\\\"] = \\\"l\\\"\\n self.trans[u\\\"ഘ\\\"] = \\\"gha\\\"\\n self.trans[u\\\"ઝ\\\"] = \\\"jha\\\"\\n self.trans[u\\\"ଡ଼\\\"] = \\\"rra\\\"\\n self.trans[u\\\"ਢ\\\"] = \\\"ddha\\\"\\n self.trans[u\\\"ന\\\"] = \\\"na\\\"\\n self.trans[u\\\"ભ\\\"] = \\\"bha\\\"\\n self.trans[u\\\"ବ\\\"] = \\\"ba\\\"\\n self.trans[u\\\"ਲ\\\"] = \\\"la\\\"\\n self.trans[u\\\"സ\\\"] = \\\"sa\\\"\\n self.trans[u\\\"ઽ\\\"] = \\\"avagraha\\\"\\n self.trans[u\\\"଼\\\"] = \\\"nukta\\\"\\n self.trans[u\\\"ੂ\\\"] = \\\"uu\\\"\\n self.trans[u\\\"ൈ\\\"] = \\\"ai\\\"\\n self.trans[u\\\"્\\\"] = \\\"virama\\\"\\n self.trans[u\\\"ୌ\\\"] = \\\"au\\\"\\n self.trans[u\\\"൨\\\"] = \\\"2\\\"\\n self.trans[u\\\"૭\\\"] = \\\"7\\\"\\n self.trans[u\\\"୬\\\"] = \\\"6\\\"\\n self.trans[u\\\"ੲ\\\"] = \\\"iri\\\"\\n self.trans[u\\\"ഃ\\\"] = \\\"visarga\\\"\\n self.trans[u\\\"ં\\\"] = \\\"anusvara\\\"\\n self.trans[u\\\"ଇ\\\"] = \\\"i\\\"\\n self.trans[u\\\"ഓ\\\"] = \\\"oo\\\"\\n self.trans[u\\\"ଗ\\\"] = \\\"ga\\\"\\n self.trans[u\\\"ਝ\\\"] = \\\"jha\\\"\\n self.trans[u\\\"？\\\"] = \\\"?\\\"\\n self.trans[u\\\"ണ\\\"] = \\\"nna\\\"\\n self.trans[u\\\"ઢ\\\"] = \\\"ddha\\\"\\n self.trans[u\\\"ଧ\\\"] = \\\"dha\\\"\\n self.trans[u\\\"ਭ\\\"] = \\\"bha\\\"\\n self.trans[u\\\"ള\\\"] = \\\"lla\\\"\\n self.trans[u\\\"લ\\\"] = \\\"la\\\"\\n self.trans[u\\\"ଷ\\\"] = \\\"ssa\\\"\\n self.trans[u\\\"ൃ\\\"] = \\\"r\\\"\\n self.trans[u\\\"ૂ\\\"] = \\\"uu\\\"\\n self.trans[u\\\"େ\\\"] = \\\"e\\\"\\n self.trans[u\\\"੍\\\"] = \\\"virama\\\"\\n self.trans[u\\\"ୗ\\\"] = \\\"mark\\\"\\n self.trans[u\\\"ൣ\\\"] = \\\"ll\\\"\\n self.trans[u\\\"ૢ\\\"] = \\\"l\\\"\\n self.trans[u\\\"୧\\\"] = \\\"1\\\"\\n self.trans[u\\\"੭\\\"] = \\\"7\\\"\\n self.trans[u\\\"൳\\\"] = \\\"1/4\\\"\\n self.trans[u\\\"୷\\\"] = \\\"sixteenths\\\"\\n self.trans[u\\\"ଆ\\\"] = \\\"aa\\\"\\n self.trans[u\\\"ઋ\\\"] = \\\"r\\\"\\n self.trans[u\\\"ഊ\\\"] = \\\"uu\\\"\\n self.trans[u\\\"ਐ\\\"] = \\\"ai\\\"\\n self.trans[u\\\"ଖ\\\"] = \\\"kha\\\"\\n self.trans[u\\\"છ\\\"] = \\\"cha\\\"\\n self.trans[u\\\"ച\\\"] = \\\"ca\\\"\\n self.trans[u\\\"ਠ\\\"] = \\\"ttha\\\"\\n self.trans[u\\\"ଦ\\\"] = \\\"da\\\"\\n self.trans[u\\\"ફ\\\"] = \\\"pha\\\"\\n self.trans[u\\\"പ\\\"] = \\\"pa\\\"\\n self.trans[u\\\"ਰ\\\"] = \\\"ra\\\"\\n self.trans[u\\\"ଶ\\\"] = \\\"sha\\\"\\n self.trans[u\\\"ഺ\\\"] = \\\"ttta\\\"\\n self.trans[u\\\"ੀ\\\"] = \\\"ii\\\"\\n self.trans[u\\\"ો\\\"] = \\\"o\\\"\\n self.trans[u\\\"ൊ\\\"] = \\\"o\\\"\\n self.trans[u\\\"ୖ\\\"] = \\\"mark\\\"\\n self.trans[u\\\"୦\\\"] = \\\"0\\\"\\n self.trans[u\\\"૫\\\"] = \\\"5\\\"\\n self.trans[u\\\"൪\\\"] = \\\"4\\\"\\n self.trans[u\\\"ੰ\\\"] = \\\"tippi\\\"\\n self.trans[u\\\"୶\\\"] = \\\"eighth\\\"\\n self.trans[u\\\"ൺ\\\"] = \\\"nn\\\"\\n self.trans[u\\\"ଁ\\\"] = \\\"candrabindu\\\"\\n self.trans[u\\\"അ\\\"] = \\\"a\\\"\\n self.trans[u\\\"ઐ\\\"] = \\\"ai\\\"\\n self.trans[u\\\"ക\\\"] = \\\"ka\\\"\\n self.trans[u\\\"ਸ਼\\\"] = \\\"sha\\\"\\n self.trans[u\\\"ਛ\\\"] = \\\"cha\\\"\\n self.trans[u\\\"ଡ\\\"] = \\\"dda\\\"\\n self.trans[u\\\"ઠ\\\"] = \\\"ttha\\\"\\n self.trans[u\\\"ഥ\\\"] = \\\"tha\\\"\\n self.trans[u\\\"ਫ\\\"] = \\\"pha\\\"\\n self.trans[u\\\"ર\\\"] = \\\"ra\\\"\\n self.trans[u\\\"വ\\\"] = \\\"va\\\"\\n self.trans[u\\\"ୁ\\\"] = \\\"u\\\"\\n self.trans[u\\\"ી\\\"] = \\\"ii\\\"\\n self.trans[u\\\"ੋ\\\"] = \\\"oo\\\"\\n self.trans[u\\\"ૐ\\\"] = \\\"om\\\"\\n self.trans[u\\\"ୡ\\\"] = \\\"ll\\\"\\n self.trans[u\\\"ૠ\\\"] = \\\"rr\\\"\\n self.trans[u\\\"੫\\\"] = \\\"5\\\"\\n self.trans[u\\\"ୱ\\\"] = \\\"wa\\\"\\n self.trans[u\\\"૰\\\"] = \\\"sign\\\"\\n self.trans[u\\\"൵\\\"] = \\\"quarters\\\"\\n self.trans[u\\\"ਫ਼\\\"] = \\\"fa\\\"\\n self.trans[u\\\"ઁ\\\"] = \\\"candrabindu\\\"\\n self.trans[u\\\"ਆ\\\"] = \\\"aa\\\"\\n self.trans[u\\\"ઑ\\\"] = \\\"o\\\"\\n self.trans[u\\\"ଐ\\\"] = \\\"ai\\\"\\n self.trans[u\\\"ഔ\\\"] = \\\"au\\\"\\n self.trans[u\\\"ਖ\\\"] = \\\"kha\\\"\\n self.trans[u\\\"ડ\\\"] = \\\"dda\\\"\\n self.trans[u\\\"ଠ\\\"] = \\\"ttha\\\"\\n self.trans[u\\\"ത\\\"] = \\\"ta\\\"\\n self.trans[u\\\"ਦ\\\"] = \\\"da\\\"\\n self.trans[u\\\"ର\\\"] = \\\"ra\\\"\\n self.trans[u\\\"ഴ\\\"] = \\\"llla\\\"\\n self.trans[u\\\"ુ\\\"] = \\\"u\\\"\\n self.trans[u\\\"ୀ\\\"] = \\\"ii\\\"\\n self.trans[u\\\"ൄ\\\"] = \\\"rr\\\"\\n self.trans[u\\\"ૡ\\\"] = \\\"ll\\\"\\n self.trans[u\\\"ୠ\\\"] = \\\"rr\\\"\\n self.trans[u\\\"੦\\\"] = \\\"0\\\"\\n self.trans[u\\\"૱\\\"] = \\\"sign\\\"\\n self.trans[u\\\"୰\\\"] = \\\"isshar\\\"\\n self.trans[u\\\"൴\\\"] = \\\"1/2\\\"\\n self.trans[u\\\"ਁ\\\"] = \\\"bindi\\\"\\n self.trans[u\\\"આ\\\"] = \\\"aa\\\"\\n self.trans[u\\\"ଋ\\\"] = \\\"r\\\"\\n self.trans[u\\\"ഏ\\\"] = \\\"ee\\\"\\n self.trans[u\\\"ખ\\\"] = \\\"kha\\\"\\n self.trans[u\\\"ଛ\\\"] = \\\"cha\\\"\\n self.trans[u\\\"ട\\\"] = \\\"tta\\\"\\n self.trans[u\\\"ਡ\\\"] = \\\"dda\\\"\\n self.trans[u\\\"દ\\\"] = \\\"da\\\"\\n self.trans[u\\\"ଫ\\\"] = \\\"pha\\\"\\n self.trans[u\\\"യ\\\"] = \\\"ya\\\"\\n self.trans[u\\\"શ\\\"] = \\\"sha\\\"\\n self.trans[u\\\"ി\\\"] = \\\"i\\\"\\n self.trans[u\\\"ੁ\\\"] = \\\"u\\\"\\n self.trans[u\\\"ୋ\\\"] = \\\"o\\\"\\n self.trans[u\\\"ੑ\\\"] = \\\"udaat\\\"\\n self.trans[u\\\"૦\\\"] = \\\"0\\\"\\n self.trans[u\\\"୫\\\"] = \\\"5\\\"\\n self.trans[u\\\"൯\\\"] = \\\"9\\\"\\n self.trans[u\\\"ੱ\\\"] = \\\"addak\\\"\\n self.trans[u\\\"ൿ\\\"] = \\\"k\\\"\\n self.trans[u\\\"ആ\\\"] = \\\"aa\\\"\\n self.trans[u\\\"ଊ\\\"] = \\\"uu\\\"\\n self.trans[u\\\"એ\\\"] = \\\"e\\\"\\n self.trans[u\\\"ਔ\\\"] = \\\"au\\\"\\n self.trans[u\\\"ഖ\\\"] = \\\"kha\\\"\\n self.trans[u\\\"ଚ\\\"] = \\\"ca\\\"\\n self.trans[u\\\"ટ\\\"] = \\\"tta\\\"\\n self.trans[u\\\"ਤ\\\"] = \\\"ta\\\"\\n self.trans[u\\\"ദ\\\"] = \\\"da\\\"\\n self.trans[u\\\"ପ\\\"] = \\\"pa\\\"\\n self.trans[u\\\"ય\\\"] = \\\"ya\\\"\\n self.trans[u\\\"ശ\\\"] = \\\"sha\\\"\\n self.trans[u\\\"િ\\\"] = \\\"i\\\"\\n self.trans[u\\\"െ\\\"] = \\\"e\\\"\\n self.trans[u\\\"൦\\\"] = \\\"0\\\"\\n self.trans[u\\\"୪\\\"] = \\\"4\\\"\\n self.trans[u\\\"૯\\\"] = \\\"9\\\"\\n self.trans[u\\\"ੴ\\\"] = \\\"onkar\\\"\\n self.trans[u\\\"ଅ\\\"] = \\\"a\\\"\\n self.trans[u\\\"ਏ\\\"] = \\\"ee\\\"\\n self.trans[u\\\"କ\\\"] = \\\"ka\\\"\\n self.trans[u\\\"ઔ\\\"] = \\\"au\\\"\\n self.trans[u\\\"ਟ\\\"] = \\\"tta\\\"\\n self.trans[u\\\"ഡ\\\"] = \\\"dda\\\"\\n self.trans[u\\\"ଥ\\\"] = \\\"tha\\\"\\n self.trans[u\\\"ત\\\"] = \\\"ta\\\"\\n self.trans[u\\\"ਯ\\\"] = \\\"ya\\\"\\n self.trans[u\\\"റ\\\"] = \\\"rra\\\"\\n self.trans[u\\\"ଵ\\\"] = \\\"va\\\"\\n self.trans[u\\\"ਿ\\\"] = \\\"i\\\"\\n self.trans[u\\\"ു\\\"] = \\\"u\\\"\\n self.trans[u\\\"ૄ\\\"] = \\\"rr\\\"\\n self.trans[u\\\"ൡ\\\"] = \\\"ll\\\"\\n self.trans[u\\\"੯\\\"] = \\\"9\\\"\\n self.trans[u\\\"൱\\\"] = \\\"100\\\"\\n self.trans[u\\\"୵\\\"] = \\\"sixteenth\\\"\\n self.trans[u\\\"અ\\\"] = \\\"a\\\"\\n self.trans[u\\\"ਊ\\\"] = \\\"uu\\\"\\n self.trans[u\\\"ഐ\\\"] = \\\"ai\\\"\\n self.trans[u\\\"ક\\\"] = \\\"ka\\\"\\n self.trans[u\\\"ଔ\\\"] = \\\"au\\\"\\n self.trans[u\\\"ਚ\\\"] = \\\"ca\\\"\\n self.trans[u\\\"ഠ\\\"] = \\\"ttha\\\"\\n self.trans[u\\\"થ\\\"] = \\\"tha\\\"\\n self.trans[u\\\"ତ\\\"] = \\\"ta\\\"\\n self.trans[u\\\"ਪ\\\"] = \\\"pa\\\"\\n self.trans[u\\\"ര\\\"] = \\\"ra\\\"\\n self.trans[u\\\"વ\\\"] = \\\"va\\\"\\n self.trans[u\\\"ീ\\\"] = \\\"ii\\\"\\n self.trans[u\\\"ૅ\\\"] = \\\"e\\\"\\n self.trans[u\\\"ୄ\\\"] = \\\"rr\\\"\\n self.trans[u\\\"ൠ\\\"] = \\\"rr\\\"\\n self.trans[u\\\"ਜ਼\\\"] = \\\"za\\\"\\n self.trans[u\\\"੪\\\"] = \\\"4\\\"\\n self.trans[u\\\"൰\\\"] = \\\"10\\\"\\n self.trans[u\\\"୴\\\"] = \\\"quarters\\\"\\n self.trans[u\\\"ਅ\\\"] = \\\"a\\\"\\n self.trans[u\\\"ഋ\\\"] = \\\"r\\\"\\n self.trans[u\\\"ઊ\\\"] = \\\"uu\\\"\\n self.trans[u\\\"ଏ\\\"] = \\\"e\\\"\\n self.trans[u\\\"ਕ\\\"] = \\\"ka\\\"\\n self.trans[u\\\"ഛ\\\"] = \\\"cha\\\"\\n self.trans[u\\\"ચ\\\"] = \\\"ca\\\"\\n self.trans[u\\\"ଟ\\\"] = \\\"tta\\\"\\n self.trans[u\\\"ਥ\\\"] = \\\"tha\\\"\\n self.trans[u\\\"ഫ\\\"] = \\\"pha\\\"\\n self.trans[u\\\"પ\\\"] = \\\"pa\\\"\\n self.trans[u\\\"ଯ\\\"] = \\\"ya\\\"\\n self.trans[u\\\"ਵ\\\"] = \\\"va\\\"\\n self.trans[u\\\"ି\\\"] = \\\"i\\\"\\n self.trans[u\\\"ോ\\\"] = \\\"oo\\\"\\n self.trans[u\\\"ୟ\\\"] = \\\"yya\\\"\\n self.trans[u\\\"൫\\\"] = \\\"5\\\"\\n self.trans[u\\\"૪\\\"] = \\\"4\\\"\\n self.trans[u\\\"୯\\\"] = \\\"9\\\"\\n self.trans[u\\\"ੵ\\\"] = \\\"yakash\\\"\\n self.trans[u\\\"ൻ\\\"] = \\\"n\\\"\\n self.trans[u\\\"ઃ\\\"] = \\\"visarga\\\"\\n self.trans[u\\\"ം\\\"] = \\\"anusvara\\\"\\n self.trans[u\\\"ਈ\\\"] = \\\"ii\\\"\\n self.trans[u\\\"ઓ\\\"] = \\\"o\\\"\\n self.trans[u\\\"ഒ\\\"] = \\\"o\\\"\\n self.trans[u\\\"ਘ\\\"] = \\\"gha\\\"\\n self.trans[u\\\"ଞ\\\"] = \\\"nya\\\"\\n self.trans[u\\\"ણ\\\"] = \\\"nna\\\"\\n self.trans[u\\\"ഢ\\\"] = \\\"ddha\\\"\\n self.trans[u\\\"ਲ਼\\\"] = \\\"lla\\\"\\n self.trans[u\\\"ਨ\\\"] = \\\"na\\\"\\n self.trans[u\\\"ମ\\\"] = \\\"ma\\\"\\n self.trans[u\\\"ળ\\\"] = \\\"lla\\\"\\n self.trans[u\\\"ല\\\"] = \\\"la\\\"\\n self.trans[u\\\"ਸ\\\"] = \\\"sa\\\"\\n self.trans[u\\\"¿\\\"] = \\\"?\\\"\\n self.trans[u\\\"ା\\\"] = \\\"aa\\\"\\n self.trans[u\\\"ૃ\\\"] = \\\"r\\\"\\n self.trans[u\\\"ൂ\\\"] = \\\"uu\\\"\\n self.trans[u\\\"ੈ\\\"] = \\\"ai\\\"\\n self.trans[u\\\"ૣ\\\"] = \\\"ll\\\"\\n self.trans[u\\\"ൢ\\\"] = \\\"l\\\"\\n self.trans[u\\\"੨\\\"] = \\\"2\\\"\\n self.trans[u\\\"୮\\\"] = \\\"8\\\"\\n self.trans[u\\\"൲\\\"] = \\\"1000\\\"\\n self.trans[u\\\"ਃ\\\"] = \\\"visarga\\\"\\n self.trans[u\\\"ଉ\\\"] = \\\"u\\\"\\n self.trans[u\\\"ઈ\\\"] = \\\"ii\\\"\\n self.trans[u\\\"ਓ\\\"] = \\\"oo\\\"\\n self.trans[u\\\"ଙ\\\"] = \\\"nga\\\"\\n self.trans[u\\\"ઘ\\\"] = \\\"gha\\\"\\n self.trans[u\\\"ഝ\\\"] = \\\"jha\\\"\\n self.trans[u\\\"ਣ\\\"] = \\\"nna\\\"\\n self.trans[u\\\"ન\\\"] = \\\"na\\\"\\n self.trans[u\\\"ഭ\\\"] = \\\"bha\\\"\\n self.trans[u\\\"ଜ\\\"] = \\\"ja\\\"\\n self.trans[u\\\"ହ\\\"] = \\\"ha\\\"\\n self.trans[u\\\"સ\\\"] = \\\"sa\\\"\\n self.trans[u\\\"ഽ\\\"] = \\\"avagraha\\\"\\n self.trans[u\\\"ૈ\\\"] = \\\"ai\\\"\\n self.trans[u\\\"്\\\"] = \\\"virama\\\"\\n self.trans[u\\\"୩\\\"] = \\\"3\\\"\\n self.trans[u\\\"૨\\\"] = \\\"2\\\"\\n self.trans[u\\\"൭\\\"] = \\\"7\\\"\\n self.trans[u\\\"ੳ\\\"] = \\\"ura\\\"\\n self.trans[u\\\"ൽ\\\"] = \\\"l\\\"\\n self.trans[u\\\"ઉ\\\"] = \\\"u\\\"\\n self.trans[u\\\"ଈ\\\"] = \\\"ii\\\"\\n self.trans[u\\\"ഌ\\\"] = \\\"l\\\"\\n self.trans[u\\\"ઙ\\\"] = \\\"nga\\\"\\n self.trans[u\\\"ଘ\\\"] = \\\"gha\\\"\\n self.trans[u\\\"ജ\\\"] = \\\"ja\\\"\\n self.trans[u\\\"ਞ\\\"] = \\\"nya\\\"\\n self.trans[u\\\"ନ\\\"] = \\\"na\\\"\\n self.trans[u\\\"ബ\\\"] = \\\"ba\\\"\\n self.trans[u\\\"ਮ\\\"] = \\\"ma\\\"\\n self.trans[u\\\"હ\\\"] = \\\"ha\\\"\\n self.trans[u\\\"ସ\\\"] = \\\"sa\\\"\\n self.trans[u\\\"ਾ\\\"] = \\\"aa\\\"\\n self.trans[u\\\"ૉ\\\"] = \\\"o\\\"\\n self.trans[u\\\"ୈ\\\"] = \\\"ai\\\"\\n self.trans[u\\\"ൌ\\\"] = \\\"au\\\"\\n self.trans[u\\\"૩\\\"] = \\\"3\\\"\\n self.trans[u\\\"୨\\\"] = \\\"2\\\"\\n self.trans[u\\\"൬\\\"] = \\\"6\\\"\\n self.trans[u\\\"੮\\\"] = \\\"8\\\"\\n self.trans[u\\\"ർ\\\"] = \\\"rr\\\"\\n self.trans[u\\\"ଃ\\\"] = \\\"visarga\\\"\\n self.trans[u\\\"ഇ\\\"] = \\\"i\\\"\\n self.trans[u\\\"ਉ\\\"] = \\\"u\\\"\\n self.trans[u\\\"ଓ\\\"] = \\\"o\\\"\\n self.trans[u\\\"ഗ\\\"] = \\\"ga\\\"\\n self.trans[u\\\"ਙ\\\"] = \\\"nga\\\"\\n self.trans[u\\\"ઞ\\\"] = \\\"nya\\\"\\n self.trans[u\\\"ଣ\\\"] = \\\"nna\\\"\\n self.trans[u\\\"ധ\\\"] = \\\"dha\\\"\\n self.trans[u\\\"મ\\\"] = \\\"ma\\\"\\n self.trans[u\\\"ଳ\\\"] = \\\"lla\\\"\\n self.trans[u\\\"ഷ\\\"] = \\\"ssa\\\"\\n self.trans[u\\\"ਹ\\\"] = \\\"ha\\\"\\n self.trans[u\\\"ਗ਼\\\"] = \\\"ghha\\\"\\n self.trans[u\\\"ા\\\"] = \\\"aa\\\"\\n self.trans[u\\\"ୃ\\\"] = \\\"r\\\"\\n self.trans[u\\\"േ\\\"] = \\\"ee\\\"\\n self.trans[u\\\"ൗ\\\"] = \\\"mark\\\"\\n self.trans[u\\\"ଢ଼\\\"] = \\\"rha\\\"\\n self.trans[u\\\"ୣ\\\"] = \\\"ll\\\"\\n self.trans[u\\\"൧\\\"] = \\\"1\\\"\\n self.trans[u\\\"੩\\\"] = \\\"3\\\"\\n self.trans[u\\\"૮\\\"] = \\\"8\\\"\\n self.trans[u\\\"୳\\\"] = \\\"half\\\"\\n for char in self.trans:\\n value = self.trans[char]\\n if value == \\\"?\\\":\\n continue\\n while value.encode(encoding, 'replace').decode(encoding) == \\\"?\\\" and value in self.trans:\\n assert value != self.trans[value], \\\"%r == self.trans[%r]!\\\" % (value, value)\\n value = self.trans[value]\\n self.trans[char] = value\",\n \"def colour_code_segmentation(image, label_values):\\r\\n\\r\\n # w = image.shape[0]\\r\\n # h = image.shape[1]\\r\\n # x = np.zeros([w,h,3])\\r\\n # colour_codes = label_values\\r\\n # for i in range(0, w):\\r\\n # for j in range(0, h):\\r\\n # x[i, j, :] = colour_codes[int(image[i, j])]\\r\\n label_values = [label_values[key] for key in label_values]\\r\\n colour_codes = np.array(label_values)\\r\\n x = colour_codes[image.astype(int)]\\r\\n\\r\\n return x\",\n \"def get_seg_features(string):\\n seg_feature = []\\n\\n for word in jieba.cut(string):\\n if len(word) == 1:\\n seg_feature.append(0)\\n else:\\n tmp = [2] * len(word)\\n tmp[0] = 1\\n tmp[-1] = 3\\n seg_feature.extend(tmp)\\n return seg_feature\",\n \"def _get_seg_features(string):\\n seg_feature = []\\n for word in jieba.cut(string):\\n if len(word) == 1:\\n seg_feature.append(0)\\n else:\\n tmp = [2] * len(word)\\n tmp[0] = 1\\n tmp[-1] = 3\\n seg_feature.extend(tmp)\\n return seg_feature\",\n \"def ascii_to_one_hot_level(level: np.ndarray, unique_tokens: list):\\n oh_level = np.zeros((len(level), len(level[-1]), len(unique_tokens)), dtype=np.float32)\\n for i in range(len(level)):\\n for j in range(len(level[-1])):\\n token = level[i][j]\\n if token in unique_tokens and token != \\\"\\\\n\\\":\\n oh_level[i, j, unique_tokens.index(token)] = 1\\n return oh_level\",\n \"def _pinyin(self, rest):\\n # Fix if sentence contains some english '.tr yacin太牛了'\\n rest = filter(lambda x: not self.isascii(x), rest.decode('utf8'))\\n def reduce_reading((char, readings)):\\n \\\"\\\"\\\"If a character has multiple cjklib readings, use the fine-tuning\\n dict from pinyin toolkit and CEDICT as a backup.\\\"\\\"\\\"\\n if len(readings) == 1:\\n return readings[0]\\n else:\\n try:\\n return self.pinyin_toolkit_lookup[char]\\n except KeyError:\\n return self._dict_reading_lookup(char)\\n\\n readings = [self.char_lookup.getReadingForCharacter(x, 'Pinyin') for x in rest]\\n res = u' '.join(map(reduce_reading, zip(rest, readings)))\\n return res.encode('utf8')\",\n \"def huffman_encoding(data):\\n if data == \\\"\\\" or data == None:\\n print(\\\"Please provide data to encode.\\\")\\n return None, None\\n codes = {}\\n #Create a dictionary from the sentence (characters:number of occurences)\\n for letter in data:\\n if codes.get(letter):\\n codes[letter] += 1\\n else:\\n codes[letter] = 1\\n\\n #Create a min heap from the dictionary\\n my_heap = MinHeap()\\n for k,v in codes.items():\\n my_heap.insert((v,k))\\n\\n #Remove two min values (character ) in the heap from the heap and consolidate\\n for i in range(my_heap.current_size - 1):\\n elem1 = my_heap.delete_min()\\n elem2 = my_heap.delete_min()\\n\\n new_node = Node(elem1[0] + elem2[0])\\n new_node.set_left_child(elem1)\\n new_node.set_right_child(elem2)\\n\\n my_heap.insert((new_node.get_value(), new_node))\\n\\n #Remove the min value from the min heap and set as the root of the tree. This min value will be a node that has combined valued of it's child nodes. \\n root = my_heap.delete_min()\\n my_tree = Tree()\\n my_tree.set_root(root)\\n\\n #Get the encoded values for each character as a dictionary\\n encoded_values = my_tree.get_encoded_values()\\n encoded_string = \\\"\\\"\\n\\n #Add the encoded value to the other dictionary that contains each character and it's frequency \\n for key, value in encoded_values.items():\\n if key.get_value() in codes:\\n codes[key.get_value()] = (codes[key.get_value()], value)\\n\\n #Generate and return the encoded string based on the passed in sentence\\n for letter in data:\\n if letter in codes:\\n encoded_string += codes[letter][1]\\n\\n return encoded_string, my_tree\",\n \"def kmerNeighbors(text,k):\\r\\n L=set()\\r\\n for i in range(0,len(text)-k+1):\\r\\n for d in range(0,k+1):\\r\\n L.update(Neighbors(kmer(text,i,k),d))\\r\\n D=dict()\\r\\n for l in L:\\r\\n D[l]=minHamm(text,l)\\r\\n return D\",\n \"def preprocess(text):\\n text_index = list(range(0, len(text), SEG_SIZE))\\n segments = [\\n text[i: i + SEG_SIZE] + PLACEHOLDER_TEMPLATE.format(PLACEHOLDER, i//SEG_SIZE)\\n for i in text_index\\n ]\\n text_index.append(len(text))\\n return text_index[1:], ''.join(segments)\",\n \"def uCSIsKhmer(code):\\n ret = libxml2mod.xmlUCSIsKhmer(code)\\n return ret\",\n \"def read_word(label_paths, save_path=None):\\n print('===> Reading word segmentation...')\\n p, i = ProgressBar(max_value=len(label_paths)), 0\\n speaker_dict = {}\\n word_set, char_set = set([]), set([])\\n for label_path in p(label_paths):\\n utterance_dict = {}\\n with open(label_path, 'r') as f:\\n for line in f:\\n line = line.strip().split(' ')\\n speaker_name = line[0].split('-')[0]\\n utt_index = line[0].split('-')[-1]\\n start_time = float(line[1])\\n end_time = float(line[2])\\n # convert to lowercase\\n word_original = ' '.join(line[3:]).lower()\\n\\n # clean transcript\\n transcript = fix_transcript(word_original, speaker_name)\\n\\n # skip silence\\n if transcript == '':\\n continue\\n\\n # remove head & last space\\n # if transcript[0] == ' ':\\n # transcript = transcript[1:]\\n # if transcript[-1] == ' ':\\n # transcript = transcript[:-1]\\n\\n # convert from character to phone\\n # phone_list = ['SIL']\\n # keys = pronounce_dict.keys()\\n # for word in transcript.split(' '):\\n # if word in keys:\\n # phone_list.append(pronounce_dict[word])\\n # phone_list.append('SIL')\\n # else:\\n # print(transcript.split(' '))\\n\\n # convert to phone list where each element is phone (remove ' ')\\n # phone_seq = ' '.join(phone_list)\\n # phone_list = phone_seq.split(' ')\\n\\n for char in list(word):\\n if char == '':\\n print(list(word))\\n char_set.add(char)\\n\\n # utterance_dict[utt_index] = [start_time, end_time, phone_list]\\n # speaker_dict[speaker_name] = utterance_dict\\n\\n p.update(i + 1)\\n i += 1\\n time.sleep(0.01)\\n\\n char_set = sorted(list(char_set))\\n print(len(char_set))\\n\\n # make mapping file (from phone to number)\\n # if not os.path.isfile(os.path.abspath('../phone2num.txt')):\\n # with open(os.path.abspath('../phone2num.txt'), 'w') as f:\\n # index = 0\\n # for phone in phones:\\n # f.write('%s %s\\\\n' % (phone, str(index)))\\n # index += 1\\n #\\n # if save_path is not None:\\n # print('Saving target labels...')\\n # for speaker_name, utterance_dict in p_save(speaker_dict.items()):\\n # save_path_speaker = mkdir(os.path.join(save_path, speaker_name))\\n # for utt_index, utt_info in utterance_dict.items():\\n # start_time, end_time, phone_list = utt_info\\n # save_file_name = speaker_name + '_' + utt_index + '.npy'\\n #\\n # # convert from phone to number\\n # phone_index_list = phone2num(phone_list)\\n #\\n # # save as npy file\\n # np.save(os.path.join(save_path_speaker, save_file_name), phone_index_list)\\n #\\n #\\n\\n return speaker_dict\",\n \"def uCSIsEnclosedCJKLettersandMonths(code):\\n ret = libxml2mod.xmlUCSIsEnclosedCJKLettersandMonths(code)\\n return ret\",\n \"def extractCharacters(self):\\n \\n length, high=self.getSize() ##geting size of LineFrame object - high and length\\n vHisto = self.vLinesHistogram()\\n spaceLength = findSpaceLength(vHisto,high) ##finding of expected length of Space in line\\n position = 0 ##position, from where findChar is serching for character\\n Line=[] ##list of words in line\\n Word=[] ##list of characters in word\\n correction=0\\n End = False\\n while not End: ##while not End of the line, search for characters\\n position, char, correction = self.findChar(position, spaceLength+correction)\\n if type(char) == str: #check if returned CharFrame object or repor\\n if char == \\\"Space\\\": #Space was finded in line, end of word, Word list append to Line list, and new Word list started\\n Line.append(Word)\\n Word=[]\\n elif char == \\\"Enter\\\": ##Finden end of line, Wor list closed and appened to Line list, end of method, returned Line list\\n Line.append(Word)\\n #for i in range(0,len(Line)):\\n #for j in range(0, len(Line[i])):\\n #Line[i][j].savePicture(str(i)+\\\"kafel\\\"+str(j)+\\\".bmp\\\",\\\"BMP\\\")\\n return Line\\n else: ## Character finden in line, append CharFrame object to Word list\\n Word.append(char)\",\n \"def decode_segmap(label_mask, num_classes):\\n label_colours = get_capsicum_labels()\\n\\n r = label_mask.copy()\\n g = label_mask.copy()\\n b = label_mask.copy()\\n for ll in range(0, num_classes):\\n r[label_mask == ll] = label_colours[ll, 0]\\n g[label_mask == ll] = label_colours[ll, 1]\\n b[label_mask == ll] = label_colours[ll, 2]\\n rgb = np.zeros((label_mask.shape[0], label_mask.shape[1], 3)).astype(np.uint8)\\n # rgb[:, :, 0] = r / 255.0\\n # rgb[:, :, 1] = g / 255.0\\n # rgb[:, :, 2] = b / 255.0\\n rgb[:, :, 0] = r\\n rgb[:, :, 1] = g\\n rgb[:, :, 2] = b\\n return rgb\",\n \"def apply_coder(text, coder):\\n ## TODO.\\n encoded_text = ''\\n for letter in text:\\n if letter in coder:\\n encoded_text += coder[letter]\\n else:\\n encoded_text += letter\\n return encoded_text\",\n \"def _translate(self):\\r\\n\\r\\n for place, pseudo_binary in self.letters.items():\\r\\n for letter in self.alphabet:\\r\\n\\r\\n with open(os.path.join(self.training_data_folder, letter + '.json'), 'r', encoding = 'utf-8') as js:\\r\\n data = json.loads(js.read())\\r\\n\\r\\n if pseudo_binary in data:\\r\\n self.result[place] = letter\\r\\n break\\r\\n\\r\\n else:\\r\\n self.result[place] = '-'\\r\\n\\r\\n if not self.devmode:\\r\\n return 'Not solved'\\r\\n\\r\\n return ''.join(self.result.values())\",\n \"def __init__(self, height=70, helper=None, limit_per_char=3000, verbose=2,\\n allowed_chars=None, is_binary=False, augmentor=None,\\n deterministic=True):\\n\\n\\n super(FFGKatakanaGenerator, self).__init__(\\n height=height, helper=helper, allowed_chars=allowed_chars,\\n is_binary=is_binary, verbose=verbose)\\n\\n self.fonts = []\\n\\n # image configuration\\n self.limit_per_char = limit_per_char\\n self.char_2_imgs = {}\\n self.char_choosen = {} # array of index was choosen with this char\\n\\n self.background_value = 1 if is_binary else 255\\n\\n self.interpolation = (\\n cv2.INTER_NEAREST if self.is_binary else\\n cv2.INTER_CUBIC)\\n self.configKata = configAugment.getKanakataConfig()\\n\\n # utility\\n # self.augment = (\\n # augmentor(is_binary=is_binary) if augmentor is not None\\n # else HandwritingMildAugment(is_binary=is_binary))\\n self.helper = FFG_Helper() if helper is None else helper\\n self.deterministic = deterministic\",\n \"def _tokenize_chinese_chars(text):\\n output = []\\n is_blank = False\\n for index, char in enumerate(text):\\n cp = ord(char)\\n if is_blank:\\n output.append(char)\\n if context[index - 12:index + 1].startswith(\\\"#idiom\\\"):\\n is_blank = False\\n output.append(SPIECE_UNDERLINE)\\n else:\\n if text[index:index + 6] == \\\"#idiom\\\":\\n is_blank = True\\n if len(output) > 0 and output[-1] != SPIECE_UNDERLINE:\\n output.append(SPIECE_UNDERLINE)\\n output.append(char)\\n elif _is_chinese_char(cp) or is_fuhao(char):\\n if len(output) > 0 and output[-1] != SPIECE_UNDERLINE:\\n output.append(SPIECE_UNDERLINE)\\n output.append(char)\\n output.append(SPIECE_UNDERLINE)\\n else:\\n output.append(char)\\n return \\\"\\\".join(output)\",\n \"def applyCoder(text, coder):\\n res=''\\n for ch in text:\\n if ch in string.ascii_lowercase:\\n res = res + coder[ch]\\n elif ch in string.ascii_uppercase:\\n res = res + coder[ch]\\n else:\\n res = res + ch\\n return res\",\n \"def map2mw_Aug(d,k1,entry):\\n L = entry.metad['L']\\n if L in ['7201','7202']: # 7203 relates to 'hay'\\n return 'hA'\\n if k1 in map2mw_special_Aug:\\n return map2mw_special_Aug[k1]\\n regexes = [\\n u'<ab>aug.</ab> de {%(.*?)%}',\\n u'<ab>aug.</ab> {%(.*?)%}',\\n u'<ab>aug.</ab> du <ab>c.</ab> de {%(.*?)%}',\\n\\n ]\\n line = entry.datalines[0] # first line of entry in bur.txt\\n for regex in regexes:\\n m = re.search(regex,line)\\n if m:\\n root = m.group(1) # root in \\n root_slp1=roman_slp1_mw(root,'verb',d)\\n if root_slp1 != None:\\n return root_slp1\\n\\n return '?'\",\n \"def uCSIsCJKCompatibility(code):\\n ret = libxml2mod.xmlUCSIsCJKCompatibility(code)\\n return ret\",\n \"def encode_text(self, text):\\n text = clip.tokenize(text).to(self.device)\\n text_features = self.clip_model.encode_text(text)\\n return text_features.cpu().detach().numpy()\",\n \"def character_map(text):\\n\\n print(f\\\"Total character count: {len(text)}\\\\n\\\")\\n\\n characters = sorted(list(set(text))) # Get sorted list of individual characters\\n n_to_char = {}\\n char_to_n = {}\\n\\n num = 0\\n for char in characters:\\n n_to_char[num] = char\\n char_to_n[char] = num\\n num += 1\\n\\n return characters, n_to_char, char_to_n\",\n \"def decode_segmap(self, label_mask, plot=False):\\n label_colours = self.get_pascal_labels()\\n r = label_mask.copy()\\n g = label_mask.copy()\\n b = label_mask.copy()\\n for ll in range(0, self.n_classes):\\n r[label_mask == ll] = label_colours[ll, 0]\\n g[label_mask == ll] = label_colours[ll, 1]\\n b[label_mask == ll] = label_colours[ll, 2]\\n rgb = np.zeros((label_mask.shape[0], label_mask.shape[1], 3))\\n rgb[:, :, 0] = r / 255.0\\n rgb[:, :, 1] = g / 255.0\\n rgb[:, :, 2] = b / 255.0\\n if plot:\\n plt.imshow(rgb)\\n plt.show()\\n else:\\n return rgb\",\n \"def decode_segmap(self, label_mask, plot=False):\\n label_colours = self.get_pascal_labels()\\n r = label_mask.copy()\\n g = label_mask.copy()\\n b = label_mask.copy()\\n for ll in range(0, self.n_classes):\\n r[label_mask == ll] = label_colours[ll, 0]\\n g[label_mask == ll] = label_colours[ll, 1]\\n b[label_mask == ll] = label_colours[ll, 2]\\n rgb = np.zeros((label_mask.shape[0], label_mask.shape[1], 3))\\n rgb[:, :, 0] = r / 255.0\\n rgb[:, :, 1] = g / 255.0\\n rgb[:, :, 2] = b / 255.0\\n if plot:\\n plt.imshow(rgb)\\n plt.show()\\n else:\\n return rgb\",\n \"def augment_data(self):\\n for char in self.hebrew.letter_li:\\n char_path = self.training_folder / char\\n img = cv.imread(\\n str((self.training_folder / char / f\\\"{char}_original.jpeg\\\").resolve())\\n ) # read font character\\n h, w, _ = img.shape # image height and width\\n\\n for rep in range(self.repetitions):\\n res = elastic_morphing(img, self.amp, self.sigma, h, w) # morph image\\n cv.imwrite(\\n str(char_path / f\\\"{char}{rep}.jpeg\\\"), res\\n ) # write result to disk\",\n \"def preprocess_char(self):\\n self.char_to_id, self.unk_char_list = self.build_vocab(mode=\\\"char\\\")\\n self.subword_vocab_size = len(self.char_to_id)\\n with open(self.sub_vocab_file, 'wb') as f:\\n pickle.dump((self.char_to_id, self.unk_char_list, self.max_word_len), f)\",\n \"def applyCoder(text, coder):\\n ciphertext = str()\\n #for each letter in the text find it, and grab shifted letter\\n for letter in text:\\n ciphertext += coder.get(letter, letter)\\n return ciphertext\",\n \"def lowerPen(gcode):\\r\\n gcode.append(\\\"M300 S43\\\")\\r\\n #gcode.append(\\\"G0 Z0\\\")\\r\",\n \"def filter_jchars(c):\\r\\n if is_asian(c):\\r\\n return ' '\\r\\n return c\",\n \"def character_to_label(character):\\n \\n character_label = all_characters.find(character)\\n \\n return character_label\",\n \"def predict(image_path, wrapper):\\n \\\"\\\"\\\"\\n #Don't forget to store your prediction into ImgPred\\n img_prediction = ImgPred(...)\\n \\\"\\\"\\\"\\n\\n #This is where all of our code will probably go. Here are the steps to success\\n\\n \\n #Step One: Make a list which will contain the locations of every character in our source Image.\\n SymPredList = []\\n\\n #Step Two: Go down that list we just made and use the code from PA4 in conjunction with our new Model to analyze each character. George made this part.\\n #This is the find a character part of the code. Max and George worked it out.\\n im = cv2.imread(image_path,0)\\n (thresh, imbw) = cv2.threshold(im,20,255,cv2.THRESH_BINARY | cv2.THRESH_OTSU)\\n #cv2.imwrite('clapfuck.jpg', imbw)\\n im3,contours,hierarchy = cv2.findContours(imbw,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)\\n idx = 0\\n for cnt in contours:\\n idx += 1\\n x1,y1,w,h = cv2.boundingRect(cnt)\\n roi=imbw[y1:y1+h,x1:x1+w]\\n\\n #Step Two.1: Make a Numpy Array of all the pixels starting from the top left corner of an identified character to the bottom right corner of the identified character.\\n height, width = roi.shape\\n if height >= width:\\n padded = cv2.copyMakeBorder(roi,0,0,(height-width)//2,(height-width)//2,cv2.BORDER_CONSTANT,value=[0,0,0])\\n else:\\n padded = cv2.copyMakeBorder(roi,(width-height)//2,(width-height)//2,0,0,cv2.BORDER_CONSTANT,value=[0,0,0])\\n Smol = cv2.resize(padded, (28, 28))\\n (thresh, evaluateMe) = cv2.threshold(Smol, 20, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)\\n #scipy.misc.imsave(os.path.basename(file), ree)\\n #Step Two.2: Feed that numpy into our PA4 image analyzer converter thing but using our new trained model\\n evaluateMeMe = numpy.reshape(evaluateMe, (1, 28, 28, 1))\\n prediction = tf.argmax(y_conv,1)\\n final_number = prediction.eval(feed_dict={x:evaluateMeMe,y_:numpy.zeros((1,40)), keep_prob:1.0})\\n #Step Two.3: Record what we think it is as the prediction field of the SymPred we are currently on\\n final_guess = wrapper.label_types[int(final_number)]\\n DisSymPred = SymPred(final_guess,x1,y1,x1+w,y1-h)\\n SymPredList.append(DisSymPred)\\n\\n #Step Three: Wrap that now complete SymPred list, in an ImgPred, fill out all the fields of that ImgPred, and then return that shit.\\n img_prediction = ImgPred(os.path.basename(image_path), SymPredList)\\n\\n #Step Four: Were Donezo\\n return img_prediction\",\n \"def _tokenize_chinese_chars(text):\\n output = []\\n for char in text:\\n cp = ord(char)\\n if _is_chinese_char(cp) or is_fuhao(char):\\n if len(output) > 0 and output[-1] != SPIECE_UNDERLINE:\\n output.append(SPIECE_UNDERLINE)\\n output.append(char)\\n output.append(SPIECE_UNDERLINE)\\n else:\\n output.append(char)\\n return \\\"\\\".join(output)\",\n \"def phrase_dict(phrase):\\n switcher = {\\n '처음으로': '닥앤미 병원을 찾아주셔서 감사합니다. 직접문의원할시 오른쪽 아래 1:1 버튼을 눌러주시면 직접 상담 가능합니다. 1:1 상담 가능 시간은 09시 – 18시 입니다.',\\n '병원 정보': '어떤 정보를 보시고 싶으신가요?',\\n '병원 위치': '“닥앤미 병원 주소는 서울시 용산구 이촌동 세움상가 2층입니다.” 더 자세한 지도확인을 원하실 경우 아래 버튼을 눌러주세요',\\n '병원 운영시간': '닥앤미 병원을 찾아주셔서 감사합니다. 병원 운영시간은 위의 내용과 같습니다',\\n '병원 프로모션': '현재 진행되고 있는 병원 프로모션입니다. 자세히 보길 원하시면 아래의 프로모션을 선택해 주세요',\\n '프로모션 A': '닥앤미에서 6월 30일까지 제공되는 프로모션 A 입니다.',\\n '프로모션 B': '닥앤미에서 6월 30일까지 제공되는 프로모션 B 입니다.',\\n '프로모션 C': '닥앤미에서 6월 30일까지 제공되는 프로모션 C 입니다.',\\n '의료진': '안녕하세요, 닥앤미의 홍길동 전문의 입니다. 항상 최선을 다하겠습니다.',\\n '병원 사진': '최고의 진료를 제공하는 닥앤미 병원입니다.',\\n '병원 진료과목': '닥앤미 병원의 진료과목입니다.',\\n '병원 전화하기': '닥앤미 병원 전화번호는 02 3522 XXXX 입니다. 지금 통화를 원하시면 아래 버튼을 눌러주세요'\\n }\\n default_text = 'Unable to find appropriate text response'\\n return switcher.get(phrase, default_text)\",\n \"def map2mw_Des(d,k1,entry):\\n if k1 in map2mw_special_Des:\\n return map2mw_special_Des[k1]\\n regexes = [\\n u'<ab>dés.</ab> de {%(.*?)%}',\\n u'<ab>dés.</ab> {%(.*?)%}',\\n u'<ab>dés.</ab> du <ab>c.</ab> de {%(.*?)%}',\\n\\n ]\\n line = entry.datalines[0] # first line of entry in bur.txt\\n for regex in regexes:\\n m = re.search(regex,line)\\n if m:\\n root = m.group(1) # root in \\n root_slp1=roman_slp1_mw(root,'verb',d)\\n if root_slp1 != None:\\n return root_slp1\\n\\n return '?'\",\n \"def _preprocess(self, txt_seq):\\n input = []\\n label = []\\n punc = \\\" \\\"\\n for token in txt_seq.split():\\n if token in self.punc2id:\\n punc = token\\n else:\\n input.append(self.word2id.get(token, self.word2id[\\\"<UNK>\\\"]))\\n label.append(self.punc2id[punc])\\n punc = \\\" \\\"\\n input.append(self.word2id[\\\"<END>\\\"])\\n label.append(self.punc2id[punc])\\n input = torch.LongTensor(input)\\n label = torch.LongTensor(label)\\n # input = np.array(input)\\n # label = np.array(label)\\n return input, label\",\n \"def enlabel(mi_, ma_):\\n\\treturn \\\"Unicode characters from {} to {} codepoints\\\".format(mi_, ma_)\",\n \"def _tokenize_chinese_chars(self, text):\\n output = []\\n for char in text:\\n output.append(\\\" \\\")\\n output.append(char)\\n output.append(\\\" \\\")\\n return \\\"\\\".join(output)\",\n \"def map_postags(treebank_tag):\\n\\n if treebank_tag.startswith('J'):\\n return \\\"a\\\"\\n elif treebank_tag.startswith('V'):\\n return \\\"v\\\"\\n elif treebank_tag.startswith('N'):\\n return \\\"n\\\"\\n elif treebank_tag.startswith('R'):\\n return \\\"r\\\"\\n else:\\n return 'n'\",\n \"def preprocess_char_ngram(self):\\n self.char_to_id, self.unk_char_list = self.build_vocab(mode=\\\"char\\\")\\n self.ngram_to_id, self.unk_ngram_list, self.max_ngram_per_word = self.build_ngram_vocab(self.n)\\n for ch in self.char_to_id:\\n if ch not in self.ngram_to_id:\\n self.ngram_to_id[ch] = len(self.ngram_to_id)\\n self.subword_vocab_size = len(self.ngram_to_id)\\n with open(self.sub_vocab_file, 'wb') as f:\\n pickle.dump((self.ngram_to_id, self.unk_char_list, self.unk_ngram_list, self.max_ngram_per_word), f)\",\n \"def split_japanese_text(self, text):\\n\\n for match in self.word_pattern.finditer(text):\\n word = match.group(0)\\n got_japanese = False\\n for m in self.jword_pattern.finditer(word):\\n w = m.group(0)\\n got_japanese = True\\n yield w.lower()\\n if not got_japanese:\\n yield word.lower()\",\n \"def feature_dict(sent, i):\\n palabra=sent[i] #suponinedo que al menos tiene una palabra\\n especiales= [\\\"á\\\",\\\"é\\\",\\\"í\\\",\\\"ó\\\",\\\"ú\\\", \\\"ü\\\"] #solo chequeo minusculas porque pregunto sobre el lower del string\\n\\n #sobre la anterior\\n if i==0: #primera de la oracion\\n alower=\\\"\\\"\\n aistitle=False\\n aisupper=False\\n aisnumeric=False\\n aisplural=False\\n #aunder=False\\n aislower=False\\n aespecial=False\\n else:\\n alower = sent[i-1].lower()\\n aistitle = sent[i-1].istitle()\\n aisupper = sent[i-1].isupper()\\n aisnumeric = sent[i-1].isnumeric()\\n aisplural= (sent[i-1][-1:].lower() == 's')\\n #aunder= (sent[i-1].find('_') >= 0)\\n aislower = sent[i-1].islower()\\n aespecial = (1 in [c in sent[i-1].lower() for c in especiales]),\\n\\n #sobre la proxima\\n if i==len(sent)-1: #si es la ultima\\n plower = \\\"\\\"\\n pistitle = False\\n pisupper = False\\n pisnumeric = False\\n pisplural= False\\n #punder=False\\n pislower = False\\n pespecial = False\\n else:\\n plower = sent[i + 1].lower()\\n pistitle = sent[i + 1].istitle()\\n pisupper = sent[i + 1].isupper()\\n pisnumeric = sent[i + 1].isnumeric()\\n pisplural= (sent[i + 1][-1:].lower() == 's')\\n #punder = (sent[i + 1].find('_') >= 0)\\n pislower = sent[i + 1].islower()\\n pespecial = (1 in [c in sent[i+1].lower() for c in especiales]),\\n\\n return {\\n 'lower': palabra.lower(),\\n 'istitle': palabra.istitle(),\\n 'isupper': palabra.isupper(),\\n 'isnumeric': palabra.isnumeric(),\\n 'isplural': (palabra[-1:].lower() == 's'),\\n #'under': (palabra.find('_') >= 0),\\n 'islower': palabra.islower(),\\n 'especial': (1 in [c in palabra.lower() for c in especiales]),\\n 'alower': alower,\\n 'aistitle': aistitle,\\n 'aisupper': aisupper,\\n 'aisnumeric': aisnumeric,\\n 'aisplural': aisplural,\\n #'aunder': aunder,\\n 'aespecial': aespecial,\\n 'aislower': aislower,\\n 'plower': plower,\\n 'pistitle': pistitle,\\n 'pisupper': pisupper,\\n 'pisnumeric': pisnumeric,\\n 'pisplural': pisplural,\\n #'punder': punder,\\n 'pislower': pislower,\\n 'pespecial': pespecial,\\n }\",\n \"def kmer_preprocess(filename, k):\\n\\tkmers = {}\\n\\twith open(filename) as infile:\\n\\t\\tline = infile.readline()\\n\\t\\tseq = \\\"\\\"\\n\\t\\tfor line in infile:\\n\\t\\t\\tfor ch in line:\\n\\t\\t\\t\\tif is_valid_char(ch):\\n\\t\\t\\t\\t\\tseq = seq + ch\\n\\t\\t\\t\\t\\tif len(seq) > k:\\n\\t\\t\\t\\t\\t\\tseq = seq[1:]\\n\\t\\t\\t\\t\\tif len(seq) == k:\\n\\t\\t\\t\\t\\t\\tif seq in kmers:\\n\\t\\t\\t\\t\\t\\t\\tkmers[seq] += 1\\n\\t\\t\\t\\t\\t\\telse:\\n\\t\\t\\t\\t\\t\\t\\tkmers[seq] = 1\\n\\tpairs = sorted(kmers.items(), reverse=True, key=lambda x: x[1])\\n\\treturn pairs\",\n \"def _featurize_py_func(text):\\n label = np.array(text[-1], dtype=np.int32)\\n words = word_tokenize(text[:-2])\\n chars = np.zeros([max_sentence_length, max_word_length], dtype=np.int32)\\n for i, word in enumerate(words):\\n ids = [char_to_int.get(char, -1) for char in word]\\n chars[i,:len(ids)] = ids\\n return chars\",\n \"def analyze_emoji_sentimens(text):\\n sum = 0.0\\n count = 0\\n for character in list(text):\\n value = index.get(character, None)\\n if value != None:\\n sum += value\\n count += 1\\n if count == 0:\\n return 0.0\\n\\n return sum/count\",\n \"def create_dictionary():\\n chars = sorted(ch for ch in string.printable if ch not in (\\\"\\\\x0b\\\", \\\"\\\\x0c\\\", \\\"\\\\r\\\"))\\n char2id = dict((ch, i + 1) for i, ch in enumerate(chars))\\n char2id.update({\\\"\\\": 0})\\n id2char = dict((char2id[ch], ch) for ch in char2id)\\n vocab_size = len(char2id)\\n id2char.update({98:'\\\\\\\\unk',99:'\\\\\\\\unk'})\\n return char2id, id2char, vocab_size,chars\",\n \"def get_core_nouns(df):\\n\\tdf = df[df.pos.str.startswith(u'名詞')\\n\\t\\t\\t\\t& (df.core_frequency>0)\\n\\t\\t\\t\\t& (~df.lForm.str.contains(u'■')) # Words including personal info are masked by ■, and cannot be used.\\n\\t\\t\\t\\t]\\n\\treturn df\",\n \"def shave_marks(txt):\\n # Decompose all characters into base characters and combining marks\\n norm_txt = normalize('NFD', txt)\\n # filter out all combing marks\\n shaved = \\\"\\\".join(c for c in norm_txt\\n if not combining(c))\\n # recompose all characters\\n return normalize('NFC', shaved)\",\n \"def visualise_embedding(embedding_dir, perplexity, learning_rate, image_path_name, label_mapping):\\n tsne = TSNE(\\n n_components=2,\\n random_state=0,\\n perplexity=perplexity,\\n learning_rate=learning_rate,\\n n_iter=20000\\n )\\n\\n with open(embedding_dir, 'r') as emb_file:\\n embedding_list = emb_file.readlines()\\n\\n print('Number of subword units: {}'.format(len(embedding_list)))\\n\\n embedding_dict = {}\\n vector_emb = []\\n subword_labels = []\\n # TODO: Make this a clean solution\\n # Start at 2 to skip the random </s> character which is coming through (may need to be 3 for Georgian)\\n for embedding in embedding_list[2:]:\\n segmented_embedding = embedding.split()\\n subword_labels.append(label_mapping[segmented_embedding[0]])\\n embedding_vector = [float(dim) for dim in segmented_embedding[1:]]\\n vector_emb.append(embedding_vector)\\n embedding_dict[segmented_embedding[0]] = embedding_vector\\n\\n emb_2d = tsne.fit_transform(vector_emb)\\n\\n datapoint_indices = range(len(emb_2d))\\n fig, ax = plt.subplots()\\n for i, subword_label in zip(datapoint_indices, subword_labels):\\n ax.scatter(emb_2d[i, 0], emb_2d[i, 1], c='c', label=subword_label)\\n\\n\\n for i, subword_label in enumerate(subword_labels):\\n ax.annotate(subword_label, (emb_2d[i, 0], emb_2d[i, 1]))\\n\\n plt.savefig(image_path_name)\\n return embedding_dict\",\n \"def segment_nuclei3D_monolayer_rpb1(stack, sigma1=3, sigma_dog_big=15, \\n sigma_dog_small=5, seed_window=(30,30), min_seed_dist=25, \\n dilation_length=5, dilation_length_foci=10, size_min=0, \\n circularity_min=0, size_max=np.inf, display=False):\\n # Make max projection on Z.\\n maxp = stack.max(axis=0)\\n # Filter with DoG to make nuclei into blobs.\\n dog = dog_filter(maxp, sigma_dog_small, sigma_dog_big)\\n # Get threshold, use thresh to make initial mask and fill holes.\\n t = threshold_otsu(dog)\\n mask = np.where(dog > t, 1, 0)\\n mask = imfill(mask)\\n # Perform distance transform, find local maxima for watershed seeds.\\n dist = ndi.distance_transform_edt(mask)\\n seeds, _ = peak_local_max_nD(dist, size=seed_window, min_dist=min_seed_dist)\\n # Smooth image and take gradient, use as input for watershed.\\n im_smooth = ndi.filters.gaussian_filter(maxp, sigma=sigma1)\\n grad = gradient_nD(im_smooth)\\n # Make second mask of pol2 foci (presumed HLBs) by re-thresholding within nuclei.\\n t_foci = threshold_otsu(im_smooth[mask.astype('bool')])\\n mask_foci = np.where(im_smooth > t_foci, True, False)\\n mask_foci = ndi.morphology.binary_dilation(mask_foci, structure=np.ones((dilation_length_foci, dilation_length_foci)))\\n # Mask out pol2 foci in gradient.\\n grad = np.where(mask_foci, 0, grad)\\n # Perform watershed segmentation.\\n ws = watershed(grad, seeds.astype(int))\\n # Filter object size and circularity, relabel to set background to 0.\\n labelmask = labelmask_filter_objsize(ws, size_min, size_max)\\n # Note: object_circularity works on 3D labelmasks, requiring adding (expand_dims) and removing (squeeze) a dimension.\\n labelmask = np.squeeze(filter_labelmask(np.expand_dims(labelmask, axis=0), object_circularity, circularity_min, 1000))\\n labelmask = relabel_labelmask(labelmask)\\n # Dilate segmented nuclei.\\n labelmask = labelmask_apply_morphology(labelmask, \\n mfunc=ndi.morphology.binary_dilation, \\n struct=np.ones((dilation_length, dilation_length)), \\n expand_size=(dilation_length + 1, dilation_length + 1))\\n\\n if (display):\\n fig, ax = plt.subplots(3,2, figsize=(10,10))\\n # Display mask.\\n ax[0][0].imshow(mask)\\n ax[0][0].set_title('Initial Mask')\\n # Display watershed seeds.\\n seeds_vis = ndi.morphology.binary_dilation(seeds, structure=np.ones((8,8)))\\n ax[0][1].imshow(im_smooth, alpha=0.5)\\n ax[0][1].imshow(seeds_vis, alpha=0.5)\\n ax[0][1].set_title('Watershed seeds')\\n # Display gradient.\\n ax[1][0].imshow(grad)\\n ax[1][0].set_title('Gradient')\\n # Display watershed output.\\n ws = relabel_labelmask(ws)\\n ax[1][1].imshow(ws.astype('bool'))\\n ax[1][1].set_title('Watershed')\\n # Display final mask.\\n ax[2][0].imshow(labelmask.astype('bool'))\\n ax[2][0].set_title('Final Segmentation')\\n \\n # Make 2D labelmask into 3D mask by repeating.\\n labelmask = np.repeat([labelmask], stack.shape[0], axis=0)\\n return labelmask\",\n \"def _process_char(self, c):\\n\\n width_index, height_index, depth_index, italic_index, tag, remainder = self._read_char_info(\\n c)\\n\\n # Get the parameters in the corresponding tables\\n if width_index != 0:\\n width = self._read_fix_word_in_table(tables.width, width_index)\\n else:\\n width = 0\\n # euex10 has this case\\n # raise ValueError(\\\"Zero width character for character code %u\\\" % (c))\\n\\n if height_index != 0:\\n height = self._read_fix_word_in_table(tables.height, height_index)\\n else:\\n height = 0\\n\\n if depth_index != 0:\\n depth = self._read_fix_word_in_table(tables.depth, depth_index)\\n else:\\n depth = 0\\n\\n if italic_index != 0:\\n italic_correction = self._read_fix_word_in_table(\\n tables.italic_correction, italic_index)\\n else:\\n italic_correction = 0\\n\\n # Interpret the tag field\\n lig_kern_program_index = None\\n next_larger_char = None\\n extensible_recipe = None\\n if tag == LIG_TAG:\\n lig_kern_program_index = remainder\\n elif tag == LIST_TAG:\\n next_larger_char = remainder\\n elif tag == EXT_TAG:\\n extensible_recipe = self._read_extensible_recipe(remainder)\\n\\n if extensible_recipe is not None:\\n # Fixme: self registration ?\\n TfmExtensibleChar(self.tfm,\\n c,\\n width,\\n height,\\n depth,\\n italic_correction,\\n extensible_recipe,\\n lig_kern_program_index,\\n next_larger_char)\\n\\n else:\\n # Fixme: self registration ?\\n TfmChar(self.tfm,\\n c,\\n width,\\n height,\\n depth,\\n italic_correction,\\n lig_kern_program_index,\\n next_larger_char)\",\n \"def findChar(self, position, spaceLength ):\\n leer=0 ## numeator of empty column\\n Queue=[] ##this will help in serching for neighbours of pixels\\n PiksList=[] ##list of balck piksels, of with consist the charakter\\n length, high = self.getSize()\\n \\n while (position < length and self.vLineHistogram(position)==0): #serching for a first not empty line, for given position\\n position+=1\\n leer+=1\\n if position == length: ## check if it is Space or it is End of line\\n return position, \\\"Enter\\\", 0\\n elif leer>=spaceLength:\\n return position, \\\"Space\\\", 0\\n else:\\n for i in range(0,high): ##extracting all black pixels from this line\\n if self.getPixel(position, i)<128:\\n Queue.append((position, i))\\n PiksList.append((position, i))\\n\\n while len(Queue)>0:\\n Piksel=Queue.pop(0) ##geting firs element from Queue\\n neighbourhood=[(Piksel[0]-1, Piksel[1]+1),(Piksel[0]-1, Piksel[1]),(Piksel[0]-1, Piksel[1]-1),(Piksel[0], Piksel[1]+1),(Piksel[0], Piksel[1]-1),(Piksel[0]+1, Piksel[1]+1),(Piksel[0]+1, Piksel[1]),(Piksel[0]+1, Piksel[1]-1)]\\n ##to co wyzej to lista współrzędnych sąsiadów Piksela\\n\\n for neighbour in neighbourhood: ##cheking neighbourhood of each pixel\\n if not(neighbour in PiksList) and (neighbour[0] in range(0,length)) and (neighbour[1] in range(0,high)) and self.getPixel(neighbour[0],neighbour[1])==0:\\n Queue.append(neighbour)\\n PiksList.append(neighbour)\\n \\n PiksList.sort() ##sorts list with number of column\\n\\n \\n PiksList=self.addHigherPiks(PiksList) ##adds all piksel over finden pixels\\n PiksList.sort()\\n position1,High1=PiksList[0]\\n position2,High2=PiksList[len(PiksList)-1] ## geting number of smalest and biggest column in group\\n charLength=position2-position1\\n if len(PiksList)>5: ##checkin if there are more then 5 piksels in group to eliminate case, when there are single pixels not eliminated by initial fomating\\n if charLength<high: ##check if the length of finden group of pixels isn't bigger then length of tile\\n newPosition= position1+(charLength/2) ##new position in the center of finden char to eliminate case, when one char is over the second\\n Char=CharFrame(high,high) ##create new CrarFrame object\\n \\n for el in PiksList: ##making all pixels in PiksList black in ChatFrame object and white in self(LineFrame object)\\n Char.putPixel(el[0]-position1,el[1])\\n self.makeWhite(el[0],el[1])\\n \\n Char.reScale(30,30) #scaling CharFrame to the ening size\\n \\n return newPosition, Char, charLength/2\\n\\n else: ##length of goup of pixels is too big\\n PiksList, Char = reconChar(PiksList,high) ## finding where to divide group of pixels\\n for Piks in PiksList:\\n self.makeWhite(Piks[0],Piks[1])\\n position1,High1=PiksList[0]\\n position2,High2=PiksList[len(PiksList)-1] ## geting number of smalest and biggest column in group\\n charLength=position2-position1\\n newPosition= position1+(charLength/2) ##new position in the center of finden char to eliminate case, when one char is over the second\\n return newPosition, Char, charLength/2\\n else: ##if there is less then 5 pixels in group\\n for el in PiksList: ##making all pixels in PiksList white in self(LineFrame object)\\n self.makeWhite(el[0],el[1])\\n newPosition= position1+(charLength/2)\\n return newPosition, \\\"None\\\", charLength/2\",\n \"def label(mi_, ma_):\\n\\treturn \\\"caractères Unicode des points de code {} à {}\\\".format(mi_, ma_)\",\n \"def encode_segmap(self, mask):\\n for voidc in self.void_labels:\\n mask[mask == voidc] = self.ignore_index\\n for validc in self.valid_labels:\\n mask[mask == validc] = self.class_map[validc]\\n # remove extra idxs from updated dataset\\n mask[mask > 33] = self.ignore_index\\n return mask\",\n \"def nonlatin_detector(dom):\\n str = domain_string(dom[0], dom[1])\\n N = len(str)\\n hex = [c.encode('utf-8').encode('hex') for c in list(str)]\\n return float(sum([len(h)/2 for h in hex]) - N)/N\",\n \"def one_hot_encoding(sequence):\\n\\n mydict = {\\n \\\"A\\\": np.asarray([1, 0, 0, 0]),\\n \\\"a\\\": np.asarray([1, 0, 0, 0]),\\n \\\"C\\\": np.asarray([0, 1, 0, 0]),\\n \\\"c\\\": np.asarray([0, 1, 0, 0]),\\n \\\"G\\\": np.asarray([0, 0, 1, 0]),\\n \\\"g\\\": np.asarray([0, 0, 1, 0]),\\n \\\"T\\\": np.asarray([0, 0, 0, 1]),\\n \\\"t\\\": np.asarray([0, 0, 0, 1]),\\n \\\"Y\\\": np.asarray([0, 1, 0, 1]),\\n \\\"y\\\": np.asarray([0, 1, 0, 1]),\\n \\\"R\\\": np.asarray([1, 0, 1, 0]),\\n \\\"r\\\": np.asarray([1, 0, 1, 0]),\\n \\\"S\\\": np.asarray([0, 1, 1, 0]),\\n \\\"s\\\": np.asarray([0, 1, 1, 0]),\\n \\\"W\\\": np.asarray([1, 0, 0, 1]),\\n \\\"w\\\": np.asarray([1, 0, 0, 1]),\\n \\\"K\\\": np.asarray([0, 0, 1, 1]),\\n \\\"k\\\": np.asarray([0, 0, 1, 1]),\\n \\\"M\\\": np.asarray([1, 1, 0, 0]),\\n \\\"m\\\": np.asarray([1, 1, 0, 0]),\\n \\\"B\\\": np.asarray([0, 1, 1, 1]),\\n \\\"b\\\": np.asarray([0, 1, 1, 1]),\\n \\\"D\\\": np.asarray([1, 0, 1, 1]),\\n \\\"d\\\": np.asarray([1, 0, 1, 1]),\\n \\\"H\\\": np.asarray([1, 1, 0, 1]),\\n \\\"h\\\": np.asarray([1, 1, 0, 1]),\\n \\\"V\\\": np.asarray([1, 1, 1, 0]),\\n \\\"v\\\": np.asarray([1, 1, 1, 0]),\\n \\\"N\\\": np.asarray([0, 0, 0, 0]),\\n \\\"n\\\": np.asarray([0, 0, 0, 0]),\\n \\\"-\\\": np.asarray([0, 0, 0, 0]),\\n }\\n print(f\\\"Seq: {sequence}\\\")\\n if len(sequence) > 0:\\n nuc_list = list()\\n for nuc in list(sequence):\\n nuc_list.append(mydict[nuc])\\n result = np.stack(np.asarray(nuc_list, dtype=\\\"int8\\\"))\\n return result\\n else: \\n print(\\\"ERROR! sequence is too short\\\")\",\n \"def _charToIndex(self,ch): \\n return self.char_dict[ch]\",\n \"def _profile(self, text):\\n prof = zeros(len(self.alph)**self.N)\\n ngs = ngrams(text, self.N)\\n for tup in ngs:\\n loc = 0\\n for i in range(len(tup)):\\n loc += (len(self.alph)**i) * self.alph.index(tup[i])\\n prof[loc] += 1\\n return prof\",\n \"def _tokenize_chinese_chars(self, text):\\n output = []\\n for char in text:\\n cp = ord(char)\\n if self._is_chinese_char(cp):\\n output.append(' ')\\n output.append(char)\\n output.append(' ')\\n else:\\n output.append(char)\\n return ''.join(output)\",\n \"def preprocess_txt(txt, word_index, max_txt_size=255):\\n wd_list = listify_txt(txt)\\n encoded = [1]\\n for word in wd_list:\\n if word in word_index:\\n encoded.append(word_index[word])\\n else:\\n encoded.append(word_index[\\\"<UNK>\\\"]) \\n encoded = keras.preprocessing.sequence.pad_sequences([encoded], value=word_index[\\\"<PAD>\\\"], padding=\\\"post\\\", maxlen=max_txt_size)[0]\\n return encoded\",\n \"def colour_code_segmentation(image, label_values):\\n colour_codes = np.array(label_values)\\n x = colour_codes[image.astype(int)]\\n\\n return x\",\n \"def recognize():\\n return 0\",\n \"def tokenize_pt(text):\\n #primeiros padrões, separação de palavra de [. , ? ! ( ) [ ] : ; ' ' \\\" \\\" ]\\n return split_level_two(split_level_one(text))\",\n \"def applyBiDi(text):\\n storage, display = getBiDiInfo(text)\\n run_lenghts = []\\n for value, sub in itertools.groupby(storage['chars'], key=lambda ch: ch['level']):\\n run_lenghts.append(len(list(sub)))\\n assert sum(run_lenghts) == len(display)\\n base_dir = storage['base_dir']\\n from_bidi = [char_info['index'] for char_info in storage['chars']]\\n to_bidi = [bidi_index for index, bidi_index in sorted(zip(from_bidi, range(len(text))))]\\n return display, run_lenghts, base_dir, to_bidi, from_bidi\",\n \"def _remove_unknown_characters(self, text):\\n exist = []\\n missing_chars = set([])\\n for each_char in text:\\n if each_char not in self.char_2_imgs:\\n if each_char == '・':\\n exist.append(each_char)\\n else:\\n missing_chars.add(each_char)\\n else:\\n exist.append(each_char)\\n\\n return ''.join(exist), missing_chars\",\n \"def uCSIsKanbun(code):\\n ret = libxml2mod.xmlUCSIsKanbun(code)\\n return ret\",\n \"def encode_one_hot2(s):\\n x = np.zeros((LINE_SIZE, INPUT_VOCAB_SIZE))\\n for n, c in enumerate(s):\\n index = char_indices[c]\\n x[n, index] = 1 \\n return x\",\n \"def makeCode(self, code):\\n\\n current_charset = None\\n pos = sum = 0\\n skip = False\\n strCode = ''\\n for c in range(len(code)):\\n if skip:\\n skip = False\\n continue\\n\\n # Only switch to char set C if next four chars are digits\\n if len(code[c:]) >= 4 and code[c:c + 4].isdigit() and current_charset != self.CharSetC or \\\\\\n len(code[c:]) >= 2 and code[c:c + 2].isdigit() and current_charset == self.CharSetC:\\n # If char set C = current and next two chars ar digits, keep C\\n if current_charset != self.CharSetC:\\n # Switching to Character set C\\n if pos:\\n strCode += self.ValueEncodings[current_charset['Code C']]\\n sum += pos * current_charset['Code C']\\n else:\\n strCode = self.ValueEncodings[self.CharSetC['START C']]\\n sum = self.CharSetC['START C']\\n current_charset = self.CharSetC\\n pos += 1\\n elif code[c] in self.CharSetB and current_charset != self.CharSetB and \\\\\\n not (code[c] in self.CharSetA and current_charset == self.CharSetA):\\n # If char in chrset A = current, then just keep that\\n # Switching to Character set B\\n if pos:\\n strCode += self.ValueEncodings[current_charset['Code B']]\\n sum += pos * current_charset['Code B']\\n else:\\n strCode = self.ValueEncodings[self.CharSetB['START B']]\\n sum = self.CharSetB['START B']\\n current_charset = self.CharSetB\\n pos += 1\\n elif code[c] in self.CharSetA and current_charset != self.CharSetA and \\\\\\n not (code[c] in self.CharSetB and current_charset == self.CharSetB):\\n # if char in chrset B== current, then just keep that\\n # Switching to Character set A\\n if pos:\\n strCode += self.ValueEncodings[current_charset['Code A']]\\n sum += pos * current_charset['Code A']\\n else:\\n strCode += self.ValueEncodings[self.CharSetA['START A']]\\n sum = self.CharSetA['START A']\\n current_charset = self.CharSetA\\n pos += 1\\n\\n if current_charset == self.CharSetC:\\n val = self.CharSetC[code[c:c + 2]]\\n skip = True\\n else:\\n val = current_charset[code[c]]\\n\\n sum += pos * val\\n strCode += self.ValueEncodings[val]\\n pos += 1\\n\\n # Checksum\\n checksum = sum % 103\\n\\n strCode += self.ValueEncodings[checksum]\\n\\n # The stop character\\n strCode += self.ValueEncodings[current_charset['STOP']]\\n\\n # Termination bar\\n strCode += \\\"11\\\"\\n\\n return strCode\",\n \"def preProcess(text):\\n\\ttext = text.lower() # lower case the text\\n\\t# Q4 replace the word with expanded contractions\\n\\tfor k,v in general_contraction.items():\\n\\t\\tif k in text.split():\\n\\t\\t\\ttext = text.replace(k,v)\\n\\t# Q4 remove speacial char including all puncuattions and replace it with a space\\n\\ttext = re.sub('[^A-Za-z0-9]+',' ',text) \\n\\t# tokenise\\n\\ttokens = text.split()\\n\\t# stop word removal\\n\\ttokens = [w for w in tokens if w not in stopwords ]\\n\\t# Q4 Stemming\\n\\ttokens = [str(porter.stem(w)) for w in tokens]\\n\\t# if word is non-english return its english form # too much time-complexity\\n\\t# tokens = [porter.stem(w) if porter.stem(w) in set(words.words()) else w for w in tokens ]\\n\\t# for words having digits such as 12gb, 1st, etc expanding the token list\\n\\tfor k in tokens:\\n\\t\\tif len(k) >2 and re.match(r'[0-9]+',k):\\t\\t\\t\\n\\t\\t\\tif len(k) >2 and not k.isdigit():\\n\\t\\t\\t\\tl = re.split(r'(\\\\d+)',k)\\n\\t\\t\\t\\tl = [w for w in l if w is not '' ]\\n\\t\\t\\t\\tif l and len(l) <= 3:\\n\\t\\t\\t\\t\\tfor i in l:\\n\\t\\t\\t\\t\\t\\tif i in digit_contractions.keys():\\n\\t\\t\\t\\t\\t\\t\\tl = list(map(lambda b: b.replace(i,digit_contractions[i]), l))\\n\\t\\t\\t\\t\\ttokens.remove(k)\\n\\t\\t\\t\\t\\ttokens = tokens+l\\n\\t\\t\\t\\telse:\\n\\t\\t\\t\\t\\ttokens.remove(k)\\n\\tfor k,v in digit_contractions.items():\\n\\t\\tif k in tokens:\\n\\t\\t\\tif tokens[tokens.index(k)-1].isdigit():\\t\\n\\t\\t\\t\\ttokens = list(map(lambda b: b.replace(k,v), tokens))\\n\\t# remove tokens of size less than 2\\n\\ttokens = [t for t in tokens if len(t) > 2]\\n\\treturn tokens\",\n \"def on_hot_all(self, splitted_words,max_word_lenght=26,disable_numbers=False):#all the on_hot* functions uses 0 and 1 to represent the letters\\r\\n array_storage=[]\\r\\n if self.special_characters_dic==True or None or False:\\r\\n raise ValueError(\\\"Please input a list of special characters to use this function. These dictionary should start by: 69\\\")\\r\\n else:\\r\\n pass\\r\\n self.coder=\\\"on_hot_encoder_with special_characters_maybe_memeory_intensiv_so_be_aware\\\"\\r\\n if disable_numbers==True:\\r\\n #print(type(self.special_characters_dic))\\r\\n if len(self.special_characters_dic)>0:\\r\\n array=self.create_new_array(shape=(max_word_lenght,58+len(self.special_characters_dic)+2))\\r\\n else:\\r\\n array=self.create_new_array(shape=(max_word_lenght,58+1))\\r\\n else:\\r\\n if len(self.special_characters_dic)>0:\\r\\n array=self.create_new_array(shape=(max_word_lenght,68+len(self.special_characters_dic)+2))\\r\\n else:\\r\\n array=self.create_new_array(shape=(max_word_lenght,68+1))\\r\\n for i in splitted_words:#iterate through every list\\r\\n #print(str(i)+\\\" \\\"+str(len(i))+\\\"\\\\n\\\")\\r\\n for letter in i:#iterate thorugh every letter in i\\r\\n #print(letter)\\r\\n if str.isupper(letter)==True and letter not in self.special_letters_dic and letter not in self.special_characters_dic: #these lines checks in wich dictionary the word is inside and figure out the matrix positions\\r\\n position=self.general_upper_word_list[letter]\\r\\n index=i.index(letter)\\r\\n elif str.islower(letter)==True and letter not in self.special_letters_dic and letter not in self.special_characters_dic:\\r\\n position=self.general_lower_word_list[letter]\\r\\n index=i.index(letter)\\r\\n elif self.special_characters_dic!=None and letter in self.special_characters_dic:\\r\\n position=self.special_characters_dic[letter]\\r\\n index=i.index(letter)\\r\\n elif letter in self.special_letters_dic:\\r\\n position=self.special_letters_dic[letter]\\r\\n index=i.index(letter)\\r\\n elif letter in self.general_numbers_dic and disable_numbers==False:\\r\\n position=self.general_numbers_dic[letter]\\r\\n index=i.index(letter)\\r\\n else:\\r\\n print(\\\"\\\\n The letter:\\\"+letter+\\\" is not known by the programm, please check your sepecial_characters dictionary\\\\n\\\")\\r\\n array[index,position]=1\\r\\n array_storage.append(array)\\r\\n if disable_numbers==True:\\r\\n if len(self.special_characters_dic)>0:\\r\\n array=self.create_new_array(shape=(max_word_lenght,58+len(self.special_characters_dic)+2))\\r\\n else:\\r\\n array=self.create_new_array(shape=(max_word_lenght,58+1))\\r\\n else:\\r\\n if len(self.special_characters_dic)>0:\\r\\n array=self.create_new_array(shape=(max_word_lenght,68+len(self.special_characters_dic)+2))#a matrix with the the lenght of all words+ the lenght of the speacial wirds dictionary\\r\\n\\r\\n else:\\r\\n array=self.create_new_array(shape=(max_word_lenght,68+1))\\r\\n return array_storage\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5655067","0.53225625","0.5267243","0.52642506","0.5255642","0.52491516","0.52491516","0.52444214","0.5241108","0.5239331","0.5196398","0.5184633","0.51652074","0.5114331","0.5098518","0.505684","0.50446427","0.50386804","0.5029255","0.4988901","0.49870577","0.49317116","0.49277866","0.49261153","0.49149874","0.49137026","0.49111018","0.4897563","0.48964316","0.48773256","0.4866076","0.48610675","0.4859278","0.48592162","0.48426265","0.48307297","0.48280963","0.48265237","0.48058847","0.48028162","0.4789195","0.47749737","0.47723636","0.47587293","0.47581884","0.47569108","0.47492045","0.47456867","0.47447824","0.47409004","0.47386438","0.47372136","0.4726637","0.47264764","0.47264764","0.472417","0.4720299","0.4700616","0.4696472","0.46724513","0.46708408","0.46478546","0.46453112","0.46439183","0.46436995","0.46432602","0.46417242","0.4637661","0.46310627","0.46274653","0.4625052","0.4621801","0.46164876","0.46115312","0.46066996","0.46057364","0.46044752","0.4597314","0.45954856","0.45919764","0.45827565","0.45780867","0.45735952","0.45635694","0.4561389","0.4558318","0.45576444","0.45547748","0.4554685","0.4553436","0.4550235","0.454556","0.45431024","0.4541796","0.45410267","0.45397753","0.45385927","0.4538313","0.45367655","0.4533697"],"string":"[\n \"0.5655067\",\n \"0.53225625\",\n \"0.5267243\",\n \"0.52642506\",\n \"0.5255642\",\n \"0.52491516\",\n \"0.52491516\",\n \"0.52444214\",\n \"0.5241108\",\n \"0.5239331\",\n \"0.5196398\",\n \"0.5184633\",\n \"0.51652074\",\n \"0.5114331\",\n \"0.5098518\",\n \"0.505684\",\n \"0.50446427\",\n \"0.50386804\",\n \"0.5029255\",\n \"0.4988901\",\n \"0.49870577\",\n \"0.49317116\",\n \"0.49277866\",\n \"0.49261153\",\n \"0.49149874\",\n \"0.49137026\",\n \"0.49111018\",\n \"0.4897563\",\n \"0.48964316\",\n \"0.48773256\",\n \"0.4866076\",\n \"0.48610675\",\n \"0.4859278\",\n \"0.48592162\",\n \"0.48426265\",\n \"0.48307297\",\n \"0.48280963\",\n \"0.48265237\",\n \"0.48058847\",\n \"0.48028162\",\n \"0.4789195\",\n \"0.47749737\",\n \"0.47723636\",\n \"0.47587293\",\n \"0.47581884\",\n \"0.47569108\",\n \"0.47492045\",\n \"0.47456867\",\n \"0.47447824\",\n \"0.47409004\",\n \"0.47386438\",\n \"0.47372136\",\n \"0.4726637\",\n \"0.47264764\",\n \"0.47264764\",\n \"0.472417\",\n \"0.4720299\",\n \"0.4700616\",\n \"0.4696472\",\n \"0.46724513\",\n \"0.46708408\",\n \"0.46478546\",\n \"0.46453112\",\n \"0.46439183\",\n \"0.46436995\",\n \"0.46432602\",\n \"0.46417242\",\n \"0.4637661\",\n \"0.46310627\",\n \"0.46274653\",\n \"0.4625052\",\n \"0.4621801\",\n \"0.46164876\",\n \"0.46115312\",\n \"0.46066996\",\n \"0.46057364\",\n \"0.46044752\",\n \"0.4597314\",\n \"0.45954856\",\n \"0.45919764\",\n \"0.45827565\",\n \"0.45780867\",\n \"0.45735952\",\n \"0.45635694\",\n \"0.4561389\",\n \"0.4558318\",\n \"0.45576444\",\n \"0.45547748\",\n \"0.4554685\",\n \"0.4553436\",\n \"0.4550235\",\n \"0.454556\",\n \"0.45431024\",\n \"0.4541796\",\n \"0.45410267\",\n \"0.45397753\",\n \"0.45385927\",\n \"0.4538313\",\n \"0.45367655\",\n \"0.4533697\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.54035604"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":89992,"cells":{"query":{"kind":"string","value":"This reads a file in the shared task format, returns a list of Tuples containing ID and text for each prompt."},"document":{"kind":"string","value":"def read_trans_prompts(lines: List[str], lowercase=True) -> List[Tuple[str,str]]:\n\n ids_prompts = []\n first = True\n for line in lines:\n if lowercase:\n line = line.strip().lower()\n else:\n line = line.strip()\n # in a group, the first one is the KEY. \n # all others are part of the set. \n if len(line) == 0:\n first = True\n else:\n if first:\n key, prompt = line.split(FIELDSEP)\n ids_prompts.append((key, prompt))\n first = False\n\n return ids_prompts"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def parse_prompt_file(prompt_file):\n with io.open(prompt_file, mode=\"r\", encoding='utf-8', errors='ignore') as prompt_f:\n return [prompt_f.readline().rstrip(),\n prompt_f.readline().rstrip()]","def read_shared_secrets_from_file(f):\n shares = []\n words = []\n for line in f.readlines():\n line = line.strip()\n if line and not re.match(r\"\\s*\\w+\", line):\n continue\n if line:\n words.extend(line.split())\n elif words:\n shares.append(\" \".join(words))\n words = []\n if words:\n shares.append(\" \".join(words))\n return shares","def __load_dialogue_ids(self, filename):\n with open(filename, \"r\") as file:\n return file.readlines()[0].split()","def read_target_and_labels_from_file(file_path):\n stemmer = SnowballStemmer(\"english\")\n dialog_acts = []\n utterances = []\n with open(file_path, \"r\") as file:\n for line in file.readlines():\n dialog_acts.append(line.split()[0])\n utterances.append(stemmer.stem(line[line.find(\" \"):].strip()))\n return dialog_acts, utterances","def getsameIDList(id, file):\n glineList = []\n newread = []\n \n for line in open(file):\n itemList = line[:-1].split('\\t')\n line_id = getsubString(itemList[0],'|')\n \n if id == line_id:\n glineList.append(line)\n else:\n newread.append(line)\n return glineList","def _read_txt(file_path):\n translation_pairs = []\n with file_path.open() as f:\n for line in f:\n translation_pairs.append(\n evaluation.TranslationPair(source=None, translation=line.strip())\n )\n return translation_pairs","def readTotitle(fh):\n preLines = []\n while True:\n l = fh.readline().strip()\n if l.startswith('>'):\n return (preLines,l)\n elif l == '':\n return preLines,None\n else:\n preLines.append(l)","def read_task_list(fname):\n tasks = []\n ignores = []\n \n f = open(fname,'r')\n lns = f.readlines()\n f.close()\n \n for l in lns:\n items = [ it.strip() for it in l.split(',') ]\n if len(items)==3:\n tasks.append({\"cwd\" :items[0], # the directory where the command should be ran from\n \"command\" :items[1], # the command to be run\n \"result\" :items[2], # the expected result file (will be used to determine whether we are done)\n \"status\" :\"unknown\"})\n else:\n if len(l.strip())>0:\n ignores.append(\"Ignoring line '%s' in task file, not sure what to do with that.\"%(l.strip()))\n\n return tasks,ignores","def _read_conll(cls, input_file):\n #def read_conll(input_file):\n sents = []\n sent, labels = [], []\n for line in open(input_file):\n if line.startswith(\"# sent_id\"):\n current_id = line.strip().split(\" = \")[1]\n elif line.strip() == \"\":\n if len(sent) > 0:\n sents.append((current_id, sent, labels))\n sent, labels = [], []\n else:\n token, label = line.strip().split(\"\\t\")\n sent.append(token)\n labels.append(label)\n return sents","def _process(self, file: bytes) -> List[Tuple[str]]:\n decoded_text = file.decode('utf-8')\n # Replace end of line tokens\n if self.eol is not None and not self.split_by_sentence:\n decoded_text = decoded_text.replace('\\n', self.eol)\n\n # Split by sentence or unroll\n if self.split_by_sentence:\n nltk.download('punkt', quiet=True)\n text = [(sent.strip(),) for sent in nltk.tokenize.sent_tokenize(decoded_text)]\n else:\n text = [(decoded_text,)]\n\n return text","def read_plain_txt(input_fn: str) -> Tuple[List[str], List[str]]:\n\n with open(input_fn, 'r') as f:\n migrations = []\n queries = []\n mode = 'none'\n for line in f:\n stripped = line.strip()\n if len(stripped) == 0:\n continue\n if stripped.lower() == '== migrations':\n if mode != 'none':\n raise ValueError(f'Invalid {input_fn}: The migrations section should appear first.')\n mode = 'migrations'\n elif stripped.lower() == '== queries':\n if mode != 'migrations':\n raise ValueError(f'Invalid {input_fn}: The queries section should appear after the migrations section.')\n mode = 'queries'\n elif stripped[0] == '#':\n pass\n else:\n if mode == 'migrations':\n migrations.append(stripped)\n elif mode == 'queries':\n queries.append(stripped)\n else:\n pass\n return migrations, queries","def read_identities(filename):\n try:\n f = open(filename, 'r')\n except IOError:\n return []\n\n identities = []\n for line in f.readlines():\n identities.append(tuple(map(s2t, line.split())))\n f.close()\n return identities","def get_id_list(fname):\n id_list = []\n with open(fname, 'r') as f:\n for line in f:\n line = line.strip()\n if line:\n id_list.append(line)\n return id_list","def read_file(filename) -> List[Todo]:\n with pathlib.Path(filename).expanduser().open('r') as fp:\n return [Todo(_id, line) for _id, line in enumerate(fp)]","def get_keys_tasks(self):\n keys_task = []\n scanned_task = []\n\n with open(self.path_to_task_file, 'r') as file:\n for line in file:\n task = Task()\n task.load(line)\n keys_task.append(task.key)\n scanned_task.append(line)\n\n self.save_scanned_tasks(scanned_task) # return unsuccessful tasks in file\n return keys_task","def read_screen_names(filename):\n flist = []\n f = open('candidates.txt')\n for line in f:\n \tflist.append(line.strip('\\n'))\t\n return flist","def read_instructions_from_file(file):\n list_of_instructions = []\n with open(file) as sf:\n instructions = sf.readlines()\n for line in instructions:\n if 0 < len(line.split()) <= 3:\n # Read from file the required information\n try:\n fragment_pdb = line.split()[0]\n core_atom = line.split()[1]\n fragment_atom = line.split()[2]\n ID = \"{}{}{}\".format(os.path.splitext(fragment_pdb)[0], core_atom, fragment_atom)\n task = (fragment_pdb, core_atom, fragment_atom, ID)\n list_of_instructions.append(task)\n except IndexError:\n logger.critical(\"Check that the serie file {} contains: 'PDB_fragment_file'\\t'PDB_core_atom_name'\\t'PDB_fragment_atom_name' \".format(file))\n elif len(line.split()) > 3:\n growing_counter = len(line.split()) / 3\n successive_tasks = []\n for i in range(int(growing_counter)):\n try:\n fragment_pdb = line.split()[i * 3]\n core_atom = line.split()[(i * 3) + 1]\n if \"*\" in core_atom:\n # Get fragment number and remove part of string\n fragment_number = re.findall(r'[*]\\d[*]', core_atom)[0].strip(\"*\")\n core_atom = core_atom.replace(\"*{}*\".format(fragment_number), \"\")\n else:\n fragment_number = None\n fragment_atom = line.split()[(i * 3) + 2]\n ID = \"{}{}{}\".format(os.path.splitext(fragment_pdb)[0], core_atom, fragment_atom)\n task = (fragment_pdb, core_atom, fragment_atom, ID, fragment_number)\n successive_tasks.append(task)\n except IndexError:\n logger.critical(\"Check that the serie file {} contains: 'PDB_fragment_file'\\t'PDB_core_atom_name'\\t'PDB_fragment_atom_name' \".format(file))\n list_of_instructions.append(successive_tasks)\n return list_of_instructions","def read_file(f, prefix=None):\n p_data = {}\n # This first line is the header for the entire file.\n line = f.next()\n line = line.strip()\n # prev_line = line\n top_header = line.split(',')\n if not top_header:\n # Don't parse this for now.\n pass\n # Now read in per-participant data.\n while True:\n word_list = []\n all_words_data = {}\n # The first line for the participant is a header.\n try:\n line = f.next()\n except StopIteration:\n # We had previously read everything, so we're done.\n break\n line = line.strip()\n p_header = line.split(',')\n\n # The participant's ID # comes first.\n p_id = p_header[0]\n if not p_id:\n # This happens when the previous participant didn't answer.\n \"\"\"\n print 'previous line:', prev_line\n print 'current line:', line\n print 'p header:', p_header\n print\n \"\"\"\n continue\n if prefix:\n p_id = prefix + p_id\n # print 'SN #', p_id\n # The number of N/A's this p is at 28.\n try:\n p_nas = int(p_header[28])\n except ValueError:\n # This happens when an RA messes up the file.\n \"\"\"\n print 'nas: previous line:', prev_line\n print 'nas: current line:', line\n print 'nas: p header:', p_header\n print\n \"\"\"\n raise\n # print \"NA's: #\", p_nas\n # Check if this participant left everything blank.\n # XXX: Have to hard-code this.\n if p_nas == 20:\n p_data[p_id] = {'words': None,\n 'word_data': None,\n 'nas': None,\n 'overall': None}\n continue\n # The next line after the header has both the data\n # for the first word and overall statistics.\n # prev_line = line\n try:\n line = f.next()\n except StopIteration:\n # We had previously read everything, so we're done.\n break\n line = line.strip()\n word, word_data, overall_data = parse_first_line(line.split(','))\n word_list.append(word)\n all_words_data[word] = word_data\n # Now read data for the rest of the words.\n for line in f:\n line = line.strip()\n word, word_data = parse_data_lines(line.split(','))\n if word == '':\n \"\"\"\n print \"loop's previous line:\", prev_line\n print \"loop's current line:\", line\n print\n \"\"\"\n # prev_line = line\n break\n word_list.append(word)\n all_words_data[word] = word_data\n # prev_line = line\n # Compute per-word averages\n all_total_avg, future_total_avg, past_total_avg = \\\n datacomputer.compute_all_future_past(all_words_data)\n overall_data['all'] = all_total_avg\n overall_data['future'] = future_total_avg\n overall_data['past'] = past_total_avg\n p_data[p_id] = {'words': word_list,\n 'word_data': all_words_data,\n 'nas': p_nas,\n 'overall': overall_data}\n # print 'p_data'\n # print p_data[p_id]\n # print\n print \"Processed {} participants' data\".format(len(p_data))\n return p_data","def parse_file(self, file_path) -> list:\n data = []\n with open(file_path, 'rb') as f:\n lines = pickle.load(f)\n for line in lines:\n input, output = line\n if input.strip() == \"\" or output.strip() == \"\":\n continue\n input_len = len(input.split())\n output_len = len(output.split())\n if input_len > 50 or output_len > 50:\n continue\n data_item = Text2TextDataItem(input_text=input, output_text=output, tokenizer=self.tokenizer,\n share_vocab=self.share_vocab)\n data.append(data_item)\n return data","def getSongTextInfo():\n sids = []\n documents = []\n sFile = open('../txt/two__Lastfm_song_Docs.txt')\n lines = sFile.readlines()\n index = 0\n for line in lines:\n line.strip('\\n')\n line.strip('\\r\\n')\n items = line.split('>>')\n sid = int(items[0])\n text = items[1]\n documents.append(text)\n sids.append(sid)\n sFile.close()\n print 'len = ',len(sids)\n print 'len = ',len(documents)\n return sids,documents","def read_games_list(file_path):\n input_data = \"\"\n if os.path.isfile(file_path):\n f = open(file_path, \"r\")\n input_data = f.readlines()\n f.close()\n return input_data","def get_commands_list() -> list:\n return open(\"data/metadata/commands.list.txt\", \"r\").read().split(\"\\n\")","def process_lines(lines):\n total_task1 = 0\n total_task2 = 0\n answers = []\n for l_count, line in enumerate(lines):\n\n if line != \"\":\n answers.append(set(line.strip()))\n\n if line == \"\" or l_count == len(lines)-1:\n total_task1 += count_task1_group(answers)\n total_task2 += count_task2_group(answers)\n\n answers = []\n\n print(f\"Task1: {total_task1}\")\n print(f\"Task2: {total_task2}\")","def get_parsed_data():\n\n echonest_data_files = [f for f in os.listdir('.') if re.match(\"^echonest_[\\w]+.txt$\", f)]\n\n # Setting up header with user id and attributes\n header = ['user_id']\n header.extend(ATTRIBUTES)\n\n # printing header to standard out\n print \",\".join(header) \n\n # Processing each file to obtain parsed data\n for data_file in echonest_data_files:\n user_id = data_file[9:-4] # strip file prefix/suffix to get username/id\n parse_echonest_data_file(data_file, user_id)","def read_file(filename):\n\n sentences = open(filename).read().strip().split(\"\\n\\n\") #separate tweets\n ret = []\n for sent in sentences:\n lines = sent.split(\"\\n\") #each word in the tweet\n pairs = [L.split(\"\\t\") for L in lines] #Funniest O\n tokens = [tok for tok,tag in pairs]\n tags = [tag for tok,tag in pairs]\n ret.append( (tokens,tags) )\n return ret","def read_input():\n splits = []\n with open('solutions/day5/input.txt') as f:\n for line in f:\n splits.append(line.strip('\\n'))\n return splits","def readInput(fileName):\n\n playerOne = []\n playerTwo = []\n\n\n with open(fileName, 'r') as file:\n fileList = file.read()\n\n fileList = fileList.split(\"\\n\\nPlayer 2:\\n\")\n\n playerOne = fileList[0].split(\"\\n\")\n playerOne = list(map(int, playerOne[1:]))\n\n playerTwo = fileList[1].split(\"\\n\")\n playerTwo = list(map(int, playerTwo))\n\n return playerOne, playerTwo","def read(fname):\n with open(fname) as fh:\n for line in fh:\n line = line.strip().split()\n sent = [tuple(x.rsplit(\"|\",1)) for x in line]\n yield sent","def get_reward_lists(f):\r\n with open(f, 'r',newline='') as f:\r\n lines = f.readlines()\r\n return lines","def load_pairs(path: str) -> list:\n pairs = list()\n with open(file=path, mode=\"r\", encoding=\"utf-8\") as pairs_file:\n for line in pairs_file:\n w0, w1 = line.replace(\"\\n\", \"\").strip().split(\" \")\n pairs.append((w0, w1))\n pairs_file.close()\n return unique(pairs)","def read_sample_info_file(sample_info_file):\n bams = []\n sample_ids = []\n notes = []\n with open(sample_info_file) as f:\n\n # Skip the first line\n f.next()\n for line in f:\n\n # Skip commented out lines\n if line.startswith('#'):\n continue\n\n # print 'line', line.rstrip().split('\\t')\n sample_id, bam, note = line.rstrip().split('\\t')\n sample_ids.append(sample_id)\n bams.append(bam)\n notes.append(note)\n\n return sample_ids, bams, notes","def extract_sentences_from_file(path: str) -> list:\n sentences = list()\n with io.open(file=path, mode=\"r\", encoding=\"utf-8\") as input_file:\n content = json.load(input_file)\n\n data = content[\"rasa_nlu_data\"]\n\n # Obtain the list of sentences\n common_examples = data[\"common_examples\"]\n\n for example in common_examples:\n sentences.append(example[\"text\"])\n\n return unique(sentences)","def read_file(filename):\n contents, labels = [], []\n with open_file(filename) as f:\n for line in f:\n try:\n label,content = line.strip().split('\\t')\n contents.append(list(content))\n labels.append(label)\n except:\n pass\n return contents,labels","def auto_detect_pairs(files, prompt):\n\n # \"intelligently\" find paired files and tuple them\n paired_files = []\n single_files = set(files)\n\n for filename in files:\n # convert \"read 1\" filenames into \"read 2\" and check that they exist; if they do\n # upload the files as a pair, autointerleaving them\n paired_filename = re.sub(r\"([._][Rr])1([._][\\w.]+)$\", r\"\\g<1>2\\g<2>\", filename)\n paired_filename = re.sub(r\"([._])1([._][\\D._]+)$\", r\"\\g<1>2\\g<2>\", paired_filename)\n\n # we don't necessary need the R2 to have been passed in; we infer it anyways\n if paired_filename != filename and os.path.exists(paired_filename):\n if not prompt and paired_filename not in single_files:\n # if we're not prompting, don't automatically pull in files\n # not in the list the user passed in\n continue\n\n paired_files.append((filename, paired_filename))\n\n if paired_filename in single_files:\n single_files.remove(paired_filename)\n\n single_files.remove(filename)\n\n auto_pair = True\n\n if prompt and len(paired_files) > 0:\n pair_list = \"\"\n for p in paired_files:\n pair_list += \"\\n {} & {}\".format(os.path.basename(p[0]), os.path.basename(p[1]))\n\n answer = click.confirm(\n \"It appears there are {n_paired_files} paired files (of {n_files} total):{pair_list}\\nInterleave them after upload?\".format(\n n_paired_files=len(paired_files) * 2,\n n_files=len(paired_files) * 2 + len(single_files),\n pair_list=pair_list,\n ),\n default=\"Y\",\n )\n\n if not answer:\n auto_pair = False\n\n if auto_pair:\n return paired_files + list(single_files)\n else:\n return files","def readroster_wait(fpath) :\n\twith open(fpath) as fin : \n\t\tlines = [line[56:].split()[0] for line in fin.readlines()]\n\treturn lines","def read_utterances_from_files(session_folder, voice_sample_folder):\n utterance_content = []\n dialog_act = []\n\n with open('../test/data/' + session_folder + '/' + voice_sample_folder + '/label.json') as label_data:\n label = json.load(label_data)\n\n for j in range(len(label['turns'])):\n utterance_content += [label['turns'][j]['transcription']]\n dialog_act += [label['turns'][j]['semantics']['cam']]\n\n session_id = label['session-id']\n return [dialog_act, utterance_content, session_id]","def read_input():\n return Path(__file__).with_name('input.txt').read_text().splitlines()","def local_task_entry(text=\"> \"):\n task_completer = localTaskCompleter()\n while True:\n result = prompt(text, completer=task_completer)\n if result not in task_completer.tasks:\n print(\"Invalid task, try again.\")\n else:\n return result","def read_file():\n # Create a file object called login_details, and give option to read file\n login_details = open(\"login_details.txt\",\"r\")\n # Create a list containing each line of login_details. List is called contents\n contents = login_details.readlines()\n login_details.close()\n return contents","def separate_into_passports(file_contents: str) -> List[str]:\n result = file_contents.split(\"\\n\\n\")\n return result","def txt_file_handler(file) -> list:\n with open(file, 'r') as poem:\n bad_chars = ['-', ',', '.', ':']\n poem = poem.read().title()\n poem = ''.join((filter(lambda i: i not in bad_chars, poem)))\n return poem.strip().split()","def readPairs(filename):\r\n\r\n fileIn = open(filename, 'r')\r\n \r\n outputList = []\r\n\r\n for line in fileIn:\r\n pair = line.replace(\"\\n\",\"\").split(\" \")\r\n outputList.append(pair)\r\n \r\n return outputList\r\n fileIn.close()","def get_pledge_list():\n with open('pledge.txt',\"r\") as handler:\n pledge_list = handler.read().split()\n return pledge_list","def load_su(file_name):\n def open_():\n return open(file_name, 'r') if file_name != \"-\" else sys.stdin\n\n marking = []\n with open_() as file:\n for row, line in enumerate(filter(None, map(str.strip, file))):\n for column, token in enumerate(line.split()):\n if token not in \"_0.\":\n marking.append(((row, column), int(token)))\n\n return tuple(marking)","def parse_file(file):\n for line in open(file,'r'):\n line = line.strip()\n token = line.split('\\t')\n ### loop through ids in second column and print with first columns \n for item in token[1].split(','):\n print item+'\\t'+token[0]","def getRelevantIDsAndProvedIDs(tsvFile): \r\n start = datetime.now()\r\n relevantIDs = []\r\n provedIDs = []\r\n with open(tsvFile, \"rb\") as tsvReader:\r\n itemReader = DictReader(tsvReader, delimiter='\\t', quotechar='\"')\r\n for i, item in enumerate(itemReader):\r\n item = {featureName:featureValue.decode('utf-8') \\\r\n for featureName,featureValue in item.items() \\\r\n if featureValue is not None}\r\n \r\n if item[\"is_blocked\"] == \"1\":\r\n relevantIDs.append( int(item[\"itemid\"]) )\r\n if item[\"is_proved\"] == \"1\":\r\n provedIDs.append( int(item[\"itemid\"]) ) \r\n\r\n if (i+1)%1000000 == 0:\r\n print(( \"%s\\t%s\"%((i+1),str(datetime.now() - start)) ))\r\n\r\n return relevantIDs, provedIDs","def getTasks():\n\ttasks = open(\"todo.txt\").readlines()\n\tif len(tasks):\n\t for num in range(len(tasks) - 1, -1, -1):\n\t print(\"[%d] %s\" % (num + 1, tasks[num]), end=\"\")\n\telse:\n\t print(\"There are no pending todos!\")","def read_tweets(filename: TextIO) -> Dict[str, List[tuple]]:\n \n #file_tweet = open(filename, 'r')\n \n tweet_dict = {} \n list_tuple = []\n tuple_tweet = ()\n text_tweet = ''\n \n for lines in filename.readline(): \n line = lines.strip()\n if '<<<EOT' not in line:\n if line != '\\n' and line.endswith(':'):\n username = line[0:line.find(':')].lower()\n elif line[0:14].isnumeric(): \n source = line.split(',')\n date = int(source[FILE_DATE_INDEX])\n source = source[FILE_SOURCE_INDEX]\n favourite_count = int(source[FILE_FAVOURITE_INDEX])\n retweet = int(source[FILE_RETWEET_INDEX])\n else: \n text_tweet += line \n else:\n tuple_tweet = (text_tweet, date, source,\n favourite_count, retweet)\n list_tuple = list_tuple + [tuple_tweet]\n tweet_dict[username] = list_tuple\n text_tweet = ''\n \n return tweet_dict","def _ReadEntries(self):\n scope = {}\n filename = os.path.join(self._root_dir, self._options.entries_filename)\n if not os.path.exists(filename):\n return []\n exec(gclient_utils.FileRead(filename), scope)\n return scope[\"entries\"]","def program_data(progf):\r\n if os.path.exists(progf):\r\n prog = \"\"\r\n for line in open(progf, \"r\", encoding=\"utf-8\"):\r\n line = line.split(\"#\")[0]\r\n prog += line\r\n prog = prog.split()\r\n return prog","def read_dataFile(fileName):\n try:\n questionList = []\n prompt = None\n with open(fileName, 'r') as f:\n for i in f.readlines():\n i = i.strip('\\n')\n question = {}\n if len(i.split(',')) == 1:\n if i != prompt:\n prompt = i\n else:\n question['prompt'] = prompt\n question['flag'] = False # Has the question been answered?\n question['title'] = i.split(',')[0]\n if len(i.split(',')) > 2:\n question['answer'] = list(i.split(',')[1:])\n question['multiple_answers'] = True # There are multiple answers to the question.\n else:\n question['answer'] = i.split(',')[1]\n question['multiple_answers'] = False\n if question:\n questionList.append(question)\n return questionList\n except Exception:\n print('Error reading data file')","def get_ids_from_list_file(list_file):\n res = []\n with open(list_file, 'r') as file:\n for line in file:\n res.append(line.strip())\n return res","def read(data=None):\n\n import subprocess\n\n # get live info\n if data is None:\n data = subprocess.check_output('squeue -o \"%all\"', shell=True).decode(\"utf-8\")\n\n # extract the header and the info\n head, data = data.split(\"\\n\", 1)\n data = list(filter(None, data.split(\"\\n\")))\n\n # get the field-names\n head = head.split(\"|\")\n\n # convert name (bug in slurm)\n # Bug #4948, https://bugs.schedmd.com\n idx = [i for i, key in enumerate(head) if key.strip() == \"USER\"]\n if len(idx) > 1:\n head[idx[1]] = \"USER_ID\"\n\n # convert to list of dictionaries\n # - initialize\n lines = []\n # - loop over lines\n for line in data:\n # -- initialize empty dictionary\n info = {}\n # -- fill dictionary\n for key, val in zip(head, line.split(\"|\")):\n if len(key.strip()) > 0:\n info[key.strip()] = val.strip()\n # -- store to list of lines\n lines += [info]\n\n # return output\n return lines","def get_lines(file_name):\n phrase_dict = {}\n file_text = file_name.readlines()\n for line_index, line in enumerate(file_text):\n if line.startswith('msgid '):\n line = line[7:-2]\n if line:\n phrase_dict[line_index] = line\n return phrase_dict, file_text","def main_task_entry(text=\"> \"):\n task_completer = mainTaskCompleter()\n while True:\n result = prompt(text, completer=task_completer)\n if result not in task_completer.tasks:\n print(\"Invalid task, try again.\")\n else:\n return result","def read_id_from_file(file):\n input = open(file, 'r')\n id = input.readline().strip()\n input.close()\n return id","def read_tsv(file, sep=None):\n LOG.info(\"reading message from %r\" % file)\n\n for line in open(file):\n line = line.strip()\n\n if not line or line.startswith(\"#\"):\n continue\n\n yield line.split(sep)","def read_tsv(file, sep=None):\n LOG.info(\"reading message from %r\" % file)\n\n for line in open(file):\n line = line.strip()\n\n if not line or line.startswith(\"#\"):\n continue\n\n yield line.split(sep)","def read_file(file_path):\n with open(file_path, 'r') as students:\n return [list(filter(None, re.split(r'[ |,]', student.rstrip('\\n')))) for student in students]","def _get_transcript_entries(transcript_directory):\n transcript_files = iglob_recursive(transcript_directory, '*.trans.txt')\n for transcript_file in transcript_files:\n with open(transcript_file, 'r') as f:\n for line in f:\n # Strip included new line symbol\n line = line.rstrip('\\n')\n\n # Each line is in the form\n # 00-000000-0000 WORD1 WORD2 ...\n splitted = line.split(' ', 1)\n yield splitted","def seqs_from_file(ids, file_lines):\r\n\r\n for label, seq in parse_fasta(file_lines):\r\n\r\n if id_from_fasta_label_line(label) in ids:\r\n yield label, seq","def readTab(file_name):\n data = []\n meta = []\n l=0\n for line in open(file_name):\n if l<3:\n meta.append(line.strip(\"\\n\").split(\"\\t\"))\n else:\n if len(line.strip(\"\\n\").split(\"\\t\")) == len(meta[0]):\n data.append(line.strip(\"\\n\").split(\"\\t\"))\n l += 1\n return (meta, data)","def readfile(path):\n with open(path, 'r', encoding='utf-8') as f:\n param = tuple(f.readlines())\n return param","def extract_requiremens(file):\n\n with open(file, 'r') as file:\n return file.read().splitlines()","def extract_programs(outputf):\t\n programs = []\n with open(outputf,'r') as f:\n\t combo_lines = f.readlines()\n for combo_line in combo_lines:\n combo = combo_line.split(' ',1)[1]\n\t programs.append(combo)\n return programs","def convert_input_to_list():\n\n f = open('pizza_source.txt', 'r')\n file_to_list = f.read().split('\\n')\n\n return file_to_list","def get_file(file_name):\r\n f = open(file_name)\r\n\r\n tids = f.readlines()\r\n \r\n dataset = [(int(tid), get_from_id(int(tid))) for tid in tids]\r\n\r\n f.close()\r\n return dataset","def getidlist(data: str = None) -> List[IDProfiler]:\n boxids: str = getinput(directory=DIR) if data is None else data\n idlist: List[IDProfiler] = list(map(IDProfiler, boxids.split(\"\\n\")))\n return idlist","def read_ranked_list(f):\n result = []\n if f:\n stream = f\n else:\n import sys\n stream = sys.stdin\n for idx, line in enumerate(stream):\n did = line.strip()\n result.append(did)\n stream.close()\n return result","def parse_data_file(self, file_name: str) -> List[Tuple[str, int]]:\n with open(file_name, \"r\") as f:\n data_list = []\n for line in f.readlines():\n path, target = line.split()\n if not os.path.isabs(path):\n path = os.path.join(self.root, path)\n target = int(target)\n data_list.append((path, target))\n return data_list","def parse_fasta_use_bio(file_name):\n pro_id_list = []\n for seq_record in SeqIO.parse(file_name, \"fasta\"):\n tmp_list = seq_record.id.strip('\\n').split('|')\n pro_id_list.append(tmp_list[1])\n # break\n\n return pro_id_list","def get_keys():\n keys = []\n with open('keys', 'r') as file:\n for line in file:\n keys.append(line.strip('\\n'))\n return tuple(keys)","def get_sentence_list_for_word_file(file_path: str) -> List[str]:\n # get file data\n with open(file_path, 'r') as review_file:\n file_text = review_file.read().splitlines()\n return file_text","def hashtable(files: list) -> list:\n if isinstance(files, list) is False:\n files = [files]\n\n hash_identifier = []\n for file in files:\n print(file, end='\\r')\n try: # Avoid crash in case a file name is too long\n hash_identifier.extend([hashfile(file)])\n except OSError:\n hash_identifier.extend(['No hash could be generated'])\n\n return hash_identifier","def readSeq(seqFile):\n line = seqFile.readline()\n seq1 = line.rstrip()\n line = seqFile.readline()\n seq2 = line.rstrip()\n return (seq1, seq2)","def readTotitle(fh, titleChar):\n preLines = []\n while True:\n l = fh.readline().strip()\n if l.startswith(titleChar):\n return (preLines,l)\n elif l == '':\n return preLines,None\n else:\n preLines.append(l)","def get_user_session_ids_for_task(user_id: str, task_name: str) -> List[str]:\n listOfSessions = os.listdir('Plots/Research/'+user_id+'/'+task_name)\n try:\n listOfSessions.remove('.DS_Store')\n except:\n pass\n return listOfSessions","def get_messages_from_file(path: str) -> list[tuple[str, str, str | None, int]]:\n\tfrappe.flags.setdefault(\"scanned_files\", set())\n\t# TODO: Find better alternative\n\t# To avoid duplicate scan\n\tif path in frappe.flags.scanned_files:\n\t\treturn []\n\n\tfrappe.flags.scanned_files.add(path)\n\n\tbench_path = get_bench_path()\n\tif not os.path.exists(path):\n\t\treturn []\n\n\twith open(path) as sourcefile:\n\t\ttry:\n\t\t\tfile_contents = sourcefile.read()\n\t\texcept Exception:\n\t\t\tprint(f\"Could not scan file for translation: {path}\")\n\t\t\treturn []\n\n\t\tmessages = []\n\n\t\tif path.lower().endswith(\".py\"):\n\t\t\tmessages += extract_messages_from_python_code(file_contents)\n\t\telse:\n\t\t\tmessages += extract_messages_from_code(file_contents)\n\n\t\tif path.lower().endswith(\".js\"):\n\t\t\t# For JS also use JS parser to extract strings possibly missed out\n\t\t\t# by regex based extractor.\n\t\t\tmessages += extract_messages_from_javascript_code(file_contents)\n\n\t\treturn [\n\t\t\t(os.path.relpath(path, bench_path), message, context, line)\n\t\t\tfor (line, message, context) in messages\n\t\t]","def extract_program_text(filename: str) -> List[str]:\n with open(filename) as conf:\n if filename.endswith('.tfstate'):\n configs = json.loads(conf.read())\n program_text = []\n resources = configs['modules'][0]['resources']\n for resource in resources:\n pattern = re.compile(\"signalform_detector.*\")\n if pattern.match(resource) is not None:\n program_text.append(\n re.sub(r'\\n +', '\\n', resources[resource]['primary']['attributes']['program_text']),\n )\n return program_text\n else:\n configs = conf.read()\n pattern = re.compile(r'program_text:.+(?:=>)?\\s+\\\"(.+)\\\"')\n return [re.sub(r'\\\\n +', '\\n', pattern_match) for pattern_match in re.findall(pattern, configs)]","def look_up():\r\n read_dict = open(\"scrabble_words.txt\", \"r\")\r\n master = read_dict.read()\r\n read_dict.close()\r\n master = master.split(\"\\n\")\r\n return master","def read_entries():\n entries = []\n user_dict = user_defined_descriptions(\n os.path.join(get_config_home(), 'tcharmap', 'descriptions'))\n charmap_txt = resource_string(__name__, 'charmap').decode('utf-8')\n lines = charmap_txt.split('\\n')[:-1] # discard last newline\n for line in lines:\n char, latex, description = line.strip().split(maxsplit=2)\n user_description = user_dict.get(char, None)\n entries.append((char, latex, description, user_description))\n return entries","def read_file() -> list: \n filename = input(\"Enter file name: \")\n try:\n with open(filename, \"r\", encoding=\"utf-8\") as file:\n data = file.read()\n\n return two_split_delimiters(data, [\" \", \"\\n\"])\n except FileNotFoundError:\n print(f\"File {filename} not found!\")\n return []","def read_foods(foods_txt):\n foods = []\n for line in foods_txt:\n ingredients_txt, allergens_txt = line.split(\" (contains \")\n ingredients = ingredients_txt.split()\n allergens = allergens_txt[:-1].split(\", \")\n\n foods.append((ingredients, allergens))\n\n return foods","def get_strings(src_file):\n res = []\n try:\n res = open(src_file,'r').readlines()\n res = [x.strip() for x in res]\n except:\n res = []\n return res","def parseTasks(mode, fileName):\n allTasks = []\n with open(fileName) as f:\n for line in f:\n words = line.split(\" \")\n checkLineStandardCompliance(words)\n thisTask = task()\n thisTask.tBegin = float(words[1])\n thisTask.tEnd = float(words[2])\n thisTask.operation = words[3]\n thisTask.batchSize = float(words[4])\n thisTask.machine = words[0]\n if mode == \"MTS\":\n mtsInfo = words[0].split(\"_\")\n checkMTSinfoCompliance(mtsInfo)\n thisTask.processingUnit = mtsInfo[0]\n thisTask.machine = mtsInfo[1]\n thisTask.order = mtsInfo[2]\n allTasks.append(thisTask)\n return allTasks","def __get_start_goal_task(question_path):\n\n start = None\n goal = None\n with open(question_path) as question:\n for line in question.readlines():\n if line.startswith('starting task: '):\n start = set(line.lstrip('starting task: ').rstrip('\\n').split(','))\n elif line.startswith('goal task: '):\n goal = line.lstrip('goal task: ').rstrip('\\n')\n\n return start, goal","def parse_s_file(reading_path, picks_size):\n # Prepare vars\n id = None\n picks_line = \"STAT SP IPHASW\" # Beginning of the picks line\n picks_started = False\n picks_read = 0\n picks_dists = [] # Distances\n if config.seconds_high_precision:\n picks_seconds = []\n else:\n picks_seconds = None\n\n # Parsing\n with open(reading_path, 'r') as f:\n for line in f:\n line = line.strip()\n # Get distance and seconds\n if picks_started and picks_read < picks_size and len(line) >= 74:\n try:\n dist = float(line[70:74])\n except ValueError as e:\n dist = None\n picks_dists.append(dist)\n\n if config.seconds_high_precision:\n try:\n seconds = float(line[21:27])\n except ValueError as e:\n seconds = None\n picks_seconds.append(seconds)\n\n picks_read += 1\n\n # Get event ID\n if len(line) > 73:\n title = line[0:6]\n if title == \"ACTION\":\n id_title = line[56:59]\n if id_title == \"ID:\":\n id_str = line[59:73]\n id = str(id_str)\n\n # Check if picks section started\n if len(line) > 25:\n if line[0:len(picks_line)] == picks_line:\n picks_started = True\n\n return [id, picks_dists, picks_seconds]","def readFile(filename): \n file = open(filename,\"r\")\n text = file.read() \n file.close()\n \n voteList = []\n text=text.split(\"\\n\")\n \n for i in range(len(text)-1):\n text[i]=text[i].strip()\n voteList.append((text[i]).split(\" \"))\n \n return voteList","def get_input():\n # return TEST_INPUT.split('\\n')\n with open(INPUT_FILE) as f:\n return f.readlines()","def readImageIdsFromTxtFile( self, pathTxtFile ):\n print pathTxtFile\n if not os.path.exists(pathTxtFile):\n print 'File not found ' + pathTxtFile\n return []\n \n # Read the file containing the image IDs\n fileDataset = open( pathTxtFile, 'r')\n \n # Read lines from the text file, stripping the end of line character\n imageIds = [line.strip() for line in fileDataset ]\n \n # Close file\n fileDataset.close()\n \n return imageIds","def load_program_from_file(self, program_file: str) -> list:\n res = []\n with open(program_file, \"r\") as prg:\n for line in prg:\n line = line.strip()\n res.append(line)\n return res","def _process(self, file: bytes) -> List[Tuple[str]]:\n decoded_text = file.decode('utf-8')\n decoded_lines = decoded_text.split('\\n')\n\n # Remove titles of Wikipedia articles if desired\n if self.remove_headers:\n filtered_lines = []\n for line in decoded_lines:\n line_strip = line.strip()\n if len(line_strip) > 0:\n if line_strip[0] != '=' and line_strip[-1] != '=':\n filtered_lines.append(line)\n decoded_lines = filtered_lines\n\n eol = self.eol or ''\n if self.split_by_line:\n text = [(line.lstrip() + eol,) for line in decoded_lines]\n else:\n text = [(eol.join(decoded_lines),)]\n\n return text","def importDictionary():\n with open('res/dictionary.txt', 'r') as f:\n lines = f.readlines()\n result = [word.strip() for word in lines]\n return result","def read_modified_alert_ids():\n # Return an empty list if the file doesn't exist.\n if not os.path.exists(MODIFIED_ALERTS_FILE):\n return []\n # Get a lock on the file\n lock = filelock.FileLock(MODIFIED_ALERTS_FILE, 5)\n lock.acquire()\n # Open the file and read in the data.\n fp = open(MODIFIED_ALERTS_FILE, \"r+\")\n ids = fp.read().split(\"\\n\")\n # remove zero length strings\n ids = filter(len, ids)\n # convert IDs to int\n ids = list(map(int, ids))\n # remove duplicates\n ids = list(set(ids))\n # close and remove the file\n fp.close()\n #TODO: uncomment when live\n #os.unlink(MODIFIED_ALERTS_FILE)\n # Release the lock.\n lock.release()\n return ids","def read_list(file_name):\n with open(file_name, 'r') as f:\n text = f.read().splitlines()\n return text","def _read_tsv(file_path):\n translation_pairs = []\n with file_path.open() as f:\n # Note: the correct way to do this is with csv.DictReader, but some examples\n # have quote characters that confuse the csv parser. Since we know the\n # source never has its own tab or newline characters, basic Python string\n # manipulation is fine here, as long as the model doesn't predict tabs or\n # newlines.\n for line in f:\n line = line.strip()\n line = line.split('\\t')\n if len(line) != 2:\n raise ValueError(\n f'Line {line} could not be parsed. You may need to manually '\n 'replace tab or newline characters in the model output with '\n 'spaces.'\n )\n source, translation = line\n translation_pairs.append(\n evaluation.TranslationPair(source=source, translation=translation)\n )\n return translation_pairs","def get_instructions(file_input: TextIO) -> List[str]:\n instructions = []\n for instruction in file_input:\n instruction = instruction.strip()\n instructions.append(instruction)\n\n return instructions","def read_dialog(file):\n with codecs.open(file, 'r', 'utf-8') as f:\n contents = [i.strip() for i in f.readlines() if len(i.strip()) != 0]\n return [json.loads(i) for i in contents]","def read_messages(given_file):\n \n message_list = given_file.readlines()\n for i in range(len(message_list)):\n message_list[i] = message_list[i].strip('\\n')\n return message_list","def read_todo_file(self):\n\n todo = []\n in_progress = []\n done = []\n if os.path.exists('TODO.txt'):\n todo_fp = open('TODO.txt', 'r')\n state = 0\n line = todo_fp.readline()\n while line:\n line = line.strip()\n if state == 0:\n if line == '__IN_PROGRESS__':\n state = 1\n elif len(line) > 1:\n todo.append(line)\n elif state == 1:\n if line == '__DONE__':\n state = 2\n elif len(line) > 1:\n in_progress.append(line)\n elif state == 2:\n if len(line) > 1:\n done.append(line)\n line = todo_fp.readline()\n todo_fp.close()\n self.todo_scroll_cell.add_item_list(todo)\n self.in_progress_scroll_cell.add_item_list(in_progress)\n self.done_scroll_cell.add_item_list(done)"],"string":"[\n \"def parse_prompt_file(prompt_file):\\n with io.open(prompt_file, mode=\\\"r\\\", encoding='utf-8', errors='ignore') as prompt_f:\\n return [prompt_f.readline().rstrip(),\\n prompt_f.readline().rstrip()]\",\n \"def read_shared_secrets_from_file(f):\\n shares = []\\n words = []\\n for line in f.readlines():\\n line = line.strip()\\n if line and not re.match(r\\\"\\\\s*\\\\w+\\\", line):\\n continue\\n if line:\\n words.extend(line.split())\\n elif words:\\n shares.append(\\\" \\\".join(words))\\n words = []\\n if words:\\n shares.append(\\\" \\\".join(words))\\n return shares\",\n \"def __load_dialogue_ids(self, filename):\\n with open(filename, \\\"r\\\") as file:\\n return file.readlines()[0].split()\",\n \"def read_target_and_labels_from_file(file_path):\\n stemmer = SnowballStemmer(\\\"english\\\")\\n dialog_acts = []\\n utterances = []\\n with open(file_path, \\\"r\\\") as file:\\n for line in file.readlines():\\n dialog_acts.append(line.split()[0])\\n utterances.append(stemmer.stem(line[line.find(\\\" \\\"):].strip()))\\n return dialog_acts, utterances\",\n \"def getsameIDList(id, file):\\n glineList = []\\n newread = []\\n \\n for line in open(file):\\n itemList = line[:-1].split('\\\\t')\\n line_id = getsubString(itemList[0],'|')\\n \\n if id == line_id:\\n glineList.append(line)\\n else:\\n newread.append(line)\\n return glineList\",\n \"def _read_txt(file_path):\\n translation_pairs = []\\n with file_path.open() as f:\\n for line in f:\\n translation_pairs.append(\\n evaluation.TranslationPair(source=None, translation=line.strip())\\n )\\n return translation_pairs\",\n \"def readTotitle(fh):\\n preLines = []\\n while True:\\n l = fh.readline().strip()\\n if l.startswith('>'):\\n return (preLines,l)\\n elif l == '':\\n return preLines,None\\n else:\\n preLines.append(l)\",\n \"def read_task_list(fname):\\n tasks = []\\n ignores = []\\n \\n f = open(fname,'r')\\n lns = f.readlines()\\n f.close()\\n \\n for l in lns:\\n items = [ it.strip() for it in l.split(',') ]\\n if len(items)==3:\\n tasks.append({\\\"cwd\\\" :items[0], # the directory where the command should be ran from\\n \\\"command\\\" :items[1], # the command to be run\\n \\\"result\\\" :items[2], # the expected result file (will be used to determine whether we are done)\\n \\\"status\\\" :\\\"unknown\\\"})\\n else:\\n if len(l.strip())>0:\\n ignores.append(\\\"Ignoring line '%s' in task file, not sure what to do with that.\\\"%(l.strip()))\\n\\n return tasks,ignores\",\n \"def _read_conll(cls, input_file):\\n #def read_conll(input_file):\\n sents = []\\n sent, labels = [], []\\n for line in open(input_file):\\n if line.startswith(\\\"# sent_id\\\"):\\n current_id = line.strip().split(\\\" = \\\")[1]\\n elif line.strip() == \\\"\\\":\\n if len(sent) > 0:\\n sents.append((current_id, sent, labels))\\n sent, labels = [], []\\n else:\\n token, label = line.strip().split(\\\"\\\\t\\\")\\n sent.append(token)\\n labels.append(label)\\n return sents\",\n \"def _process(self, file: bytes) -> List[Tuple[str]]:\\n decoded_text = file.decode('utf-8')\\n # Replace end of line tokens\\n if self.eol is not None and not self.split_by_sentence:\\n decoded_text = decoded_text.replace('\\\\n', self.eol)\\n\\n # Split by sentence or unroll\\n if self.split_by_sentence:\\n nltk.download('punkt', quiet=True)\\n text = [(sent.strip(),) for sent in nltk.tokenize.sent_tokenize(decoded_text)]\\n else:\\n text = [(decoded_text,)]\\n\\n return text\",\n \"def read_plain_txt(input_fn: str) -> Tuple[List[str], List[str]]:\\n\\n with open(input_fn, 'r') as f:\\n migrations = []\\n queries = []\\n mode = 'none'\\n for line in f:\\n stripped = line.strip()\\n if len(stripped) == 0:\\n continue\\n if stripped.lower() == '== migrations':\\n if mode != 'none':\\n raise ValueError(f'Invalid {input_fn}: The migrations section should appear first.')\\n mode = 'migrations'\\n elif stripped.lower() == '== queries':\\n if mode != 'migrations':\\n raise ValueError(f'Invalid {input_fn}: The queries section should appear after the migrations section.')\\n mode = 'queries'\\n elif stripped[0] == '#':\\n pass\\n else:\\n if mode == 'migrations':\\n migrations.append(stripped)\\n elif mode == 'queries':\\n queries.append(stripped)\\n else:\\n pass\\n return migrations, queries\",\n \"def read_identities(filename):\\n try:\\n f = open(filename, 'r')\\n except IOError:\\n return []\\n\\n identities = []\\n for line in f.readlines():\\n identities.append(tuple(map(s2t, line.split())))\\n f.close()\\n return identities\",\n \"def get_id_list(fname):\\n id_list = []\\n with open(fname, 'r') as f:\\n for line in f:\\n line = line.strip()\\n if line:\\n id_list.append(line)\\n return id_list\",\n \"def read_file(filename) -> List[Todo]:\\n with pathlib.Path(filename).expanduser().open('r') as fp:\\n return [Todo(_id, line) for _id, line in enumerate(fp)]\",\n \"def get_keys_tasks(self):\\n keys_task = []\\n scanned_task = []\\n\\n with open(self.path_to_task_file, 'r') as file:\\n for line in file:\\n task = Task()\\n task.load(line)\\n keys_task.append(task.key)\\n scanned_task.append(line)\\n\\n self.save_scanned_tasks(scanned_task) # return unsuccessful tasks in file\\n return keys_task\",\n \"def read_screen_names(filename):\\n flist = []\\n f = open('candidates.txt')\\n for line in f:\\n \\tflist.append(line.strip('\\\\n'))\\t\\n return flist\",\n \"def read_instructions_from_file(file):\\n list_of_instructions = []\\n with open(file) as sf:\\n instructions = sf.readlines()\\n for line in instructions:\\n if 0 < len(line.split()) <= 3:\\n # Read from file the required information\\n try:\\n fragment_pdb = line.split()[0]\\n core_atom = line.split()[1]\\n fragment_atom = line.split()[2]\\n ID = \\\"{}{}{}\\\".format(os.path.splitext(fragment_pdb)[0], core_atom, fragment_atom)\\n task = (fragment_pdb, core_atom, fragment_atom, ID)\\n list_of_instructions.append(task)\\n except IndexError:\\n logger.critical(\\\"Check that the serie file {} contains: 'PDB_fragment_file'\\\\t'PDB_core_atom_name'\\\\t'PDB_fragment_atom_name' \\\".format(file))\\n elif len(line.split()) > 3:\\n growing_counter = len(line.split()) / 3\\n successive_tasks = []\\n for i in range(int(growing_counter)):\\n try:\\n fragment_pdb = line.split()[i * 3]\\n core_atom = line.split()[(i * 3) + 1]\\n if \\\"*\\\" in core_atom:\\n # Get fragment number and remove part of string\\n fragment_number = re.findall(r'[*]\\\\d[*]', core_atom)[0].strip(\\\"*\\\")\\n core_atom = core_atom.replace(\\\"*{}*\\\".format(fragment_number), \\\"\\\")\\n else:\\n fragment_number = None\\n fragment_atom = line.split()[(i * 3) + 2]\\n ID = \\\"{}{}{}\\\".format(os.path.splitext(fragment_pdb)[0], core_atom, fragment_atom)\\n task = (fragment_pdb, core_atom, fragment_atom, ID, fragment_number)\\n successive_tasks.append(task)\\n except IndexError:\\n logger.critical(\\\"Check that the serie file {} contains: 'PDB_fragment_file'\\\\t'PDB_core_atom_name'\\\\t'PDB_fragment_atom_name' \\\".format(file))\\n list_of_instructions.append(successive_tasks)\\n return list_of_instructions\",\n \"def read_file(f, prefix=None):\\n p_data = {}\\n # This first line is the header for the entire file.\\n line = f.next()\\n line = line.strip()\\n # prev_line = line\\n top_header = line.split(',')\\n if not top_header:\\n # Don't parse this for now.\\n pass\\n # Now read in per-participant data.\\n while True:\\n word_list = []\\n all_words_data = {}\\n # The first line for the participant is a header.\\n try:\\n line = f.next()\\n except StopIteration:\\n # We had previously read everything, so we're done.\\n break\\n line = line.strip()\\n p_header = line.split(',')\\n\\n # The participant's ID # comes first.\\n p_id = p_header[0]\\n if not p_id:\\n # This happens when the previous participant didn't answer.\\n \\\"\\\"\\\"\\n print 'previous line:', prev_line\\n print 'current line:', line\\n print 'p header:', p_header\\n print\\n \\\"\\\"\\\"\\n continue\\n if prefix:\\n p_id = prefix + p_id\\n # print 'SN #', p_id\\n # The number of N/A's this p is at 28.\\n try:\\n p_nas = int(p_header[28])\\n except ValueError:\\n # This happens when an RA messes up the file.\\n \\\"\\\"\\\"\\n print 'nas: previous line:', prev_line\\n print 'nas: current line:', line\\n print 'nas: p header:', p_header\\n print\\n \\\"\\\"\\\"\\n raise\\n # print \\\"NA's: #\\\", p_nas\\n # Check if this participant left everything blank.\\n # XXX: Have to hard-code this.\\n if p_nas == 20:\\n p_data[p_id] = {'words': None,\\n 'word_data': None,\\n 'nas': None,\\n 'overall': None}\\n continue\\n # The next line after the header has both the data\\n # for the first word and overall statistics.\\n # prev_line = line\\n try:\\n line = f.next()\\n except StopIteration:\\n # We had previously read everything, so we're done.\\n break\\n line = line.strip()\\n word, word_data, overall_data = parse_first_line(line.split(','))\\n word_list.append(word)\\n all_words_data[word] = word_data\\n # Now read data for the rest of the words.\\n for line in f:\\n line = line.strip()\\n word, word_data = parse_data_lines(line.split(','))\\n if word == '':\\n \\\"\\\"\\\"\\n print \\\"loop's previous line:\\\", prev_line\\n print \\\"loop's current line:\\\", line\\n print\\n \\\"\\\"\\\"\\n # prev_line = line\\n break\\n word_list.append(word)\\n all_words_data[word] = word_data\\n # prev_line = line\\n # Compute per-word averages\\n all_total_avg, future_total_avg, past_total_avg = \\\\\\n datacomputer.compute_all_future_past(all_words_data)\\n overall_data['all'] = all_total_avg\\n overall_data['future'] = future_total_avg\\n overall_data['past'] = past_total_avg\\n p_data[p_id] = {'words': word_list,\\n 'word_data': all_words_data,\\n 'nas': p_nas,\\n 'overall': overall_data}\\n # print 'p_data'\\n # print p_data[p_id]\\n # print\\n print \\\"Processed {} participants' data\\\".format(len(p_data))\\n return p_data\",\n \"def parse_file(self, file_path) -> list:\\n data = []\\n with open(file_path, 'rb') as f:\\n lines = pickle.load(f)\\n for line in lines:\\n input, output = line\\n if input.strip() == \\\"\\\" or output.strip() == \\\"\\\":\\n continue\\n input_len = len(input.split())\\n output_len = len(output.split())\\n if input_len > 50 or output_len > 50:\\n continue\\n data_item = Text2TextDataItem(input_text=input, output_text=output, tokenizer=self.tokenizer,\\n share_vocab=self.share_vocab)\\n data.append(data_item)\\n return data\",\n \"def getSongTextInfo():\\n sids = []\\n documents = []\\n sFile = open('../txt/two__Lastfm_song_Docs.txt')\\n lines = sFile.readlines()\\n index = 0\\n for line in lines:\\n line.strip('\\\\n')\\n line.strip('\\\\r\\\\n')\\n items = line.split('>>')\\n sid = int(items[0])\\n text = items[1]\\n documents.append(text)\\n sids.append(sid)\\n sFile.close()\\n print 'len = ',len(sids)\\n print 'len = ',len(documents)\\n return sids,documents\",\n \"def read_games_list(file_path):\\n input_data = \\\"\\\"\\n if os.path.isfile(file_path):\\n f = open(file_path, \\\"r\\\")\\n input_data = f.readlines()\\n f.close()\\n return input_data\",\n \"def get_commands_list() -> list:\\n return open(\\\"data/metadata/commands.list.txt\\\", \\\"r\\\").read().split(\\\"\\\\n\\\")\",\n \"def process_lines(lines):\\n total_task1 = 0\\n total_task2 = 0\\n answers = []\\n for l_count, line in enumerate(lines):\\n\\n if line != \\\"\\\":\\n answers.append(set(line.strip()))\\n\\n if line == \\\"\\\" or l_count == len(lines)-1:\\n total_task1 += count_task1_group(answers)\\n total_task2 += count_task2_group(answers)\\n\\n answers = []\\n\\n print(f\\\"Task1: {total_task1}\\\")\\n print(f\\\"Task2: {total_task2}\\\")\",\n \"def get_parsed_data():\\n\\n echonest_data_files = [f for f in os.listdir('.') if re.match(\\\"^echonest_[\\\\w]+.txt$\\\", f)]\\n\\n # Setting up header with user id and attributes\\n header = ['user_id']\\n header.extend(ATTRIBUTES)\\n\\n # printing header to standard out\\n print \\\",\\\".join(header) \\n\\n # Processing each file to obtain parsed data\\n for data_file in echonest_data_files:\\n user_id = data_file[9:-4] # strip file prefix/suffix to get username/id\\n parse_echonest_data_file(data_file, user_id)\",\n \"def read_file(filename):\\n\\n sentences = open(filename).read().strip().split(\\\"\\\\n\\\\n\\\") #separate tweets\\n ret = []\\n for sent in sentences:\\n lines = sent.split(\\\"\\\\n\\\") #each word in the tweet\\n pairs = [L.split(\\\"\\\\t\\\") for L in lines] #Funniest O\\n tokens = [tok for tok,tag in pairs]\\n tags = [tag for tok,tag in pairs]\\n ret.append( (tokens,tags) )\\n return ret\",\n \"def read_input():\\n splits = []\\n with open('solutions/day5/input.txt') as f:\\n for line in f:\\n splits.append(line.strip('\\\\n'))\\n return splits\",\n \"def readInput(fileName):\\n\\n playerOne = []\\n playerTwo = []\\n\\n\\n with open(fileName, 'r') as file:\\n fileList = file.read()\\n\\n fileList = fileList.split(\\\"\\\\n\\\\nPlayer 2:\\\\n\\\")\\n\\n playerOne = fileList[0].split(\\\"\\\\n\\\")\\n playerOne = list(map(int, playerOne[1:]))\\n\\n playerTwo = fileList[1].split(\\\"\\\\n\\\")\\n playerTwo = list(map(int, playerTwo))\\n\\n return playerOne, playerTwo\",\n \"def read(fname):\\n with open(fname) as fh:\\n for line in fh:\\n line = line.strip().split()\\n sent = [tuple(x.rsplit(\\\"|\\\",1)) for x in line]\\n yield sent\",\n \"def get_reward_lists(f):\\r\\n with open(f, 'r',newline='') as f:\\r\\n lines = f.readlines()\\r\\n return lines\",\n \"def load_pairs(path: str) -> list:\\n pairs = list()\\n with open(file=path, mode=\\\"r\\\", encoding=\\\"utf-8\\\") as pairs_file:\\n for line in pairs_file:\\n w0, w1 = line.replace(\\\"\\\\n\\\", \\\"\\\").strip().split(\\\" \\\")\\n pairs.append((w0, w1))\\n pairs_file.close()\\n return unique(pairs)\",\n \"def read_sample_info_file(sample_info_file):\\n bams = []\\n sample_ids = []\\n notes = []\\n with open(sample_info_file) as f:\\n\\n # Skip the first line\\n f.next()\\n for line in f:\\n\\n # Skip commented out lines\\n if line.startswith('#'):\\n continue\\n\\n # print 'line', line.rstrip().split('\\\\t')\\n sample_id, bam, note = line.rstrip().split('\\\\t')\\n sample_ids.append(sample_id)\\n bams.append(bam)\\n notes.append(note)\\n\\n return sample_ids, bams, notes\",\n \"def extract_sentences_from_file(path: str) -> list:\\n sentences = list()\\n with io.open(file=path, mode=\\\"r\\\", encoding=\\\"utf-8\\\") as input_file:\\n content = json.load(input_file)\\n\\n data = content[\\\"rasa_nlu_data\\\"]\\n\\n # Obtain the list of sentences\\n common_examples = data[\\\"common_examples\\\"]\\n\\n for example in common_examples:\\n sentences.append(example[\\\"text\\\"])\\n\\n return unique(sentences)\",\n \"def read_file(filename):\\n contents, labels = [], []\\n with open_file(filename) as f:\\n for line in f:\\n try:\\n label,content = line.strip().split('\\\\t')\\n contents.append(list(content))\\n labels.append(label)\\n except:\\n pass\\n return contents,labels\",\n \"def auto_detect_pairs(files, prompt):\\n\\n # \\\"intelligently\\\" find paired files and tuple them\\n paired_files = []\\n single_files = set(files)\\n\\n for filename in files:\\n # convert \\\"read 1\\\" filenames into \\\"read 2\\\" and check that they exist; if they do\\n # upload the files as a pair, autointerleaving them\\n paired_filename = re.sub(r\\\"([._][Rr])1([._][\\\\w.]+)$\\\", r\\\"\\\\g<1>2\\\\g<2>\\\", filename)\\n paired_filename = re.sub(r\\\"([._])1([._][\\\\D._]+)$\\\", r\\\"\\\\g<1>2\\\\g<2>\\\", paired_filename)\\n\\n # we don't necessary need the R2 to have been passed in; we infer it anyways\\n if paired_filename != filename and os.path.exists(paired_filename):\\n if not prompt and paired_filename not in single_files:\\n # if we're not prompting, don't automatically pull in files\\n # not in the list the user passed in\\n continue\\n\\n paired_files.append((filename, paired_filename))\\n\\n if paired_filename in single_files:\\n single_files.remove(paired_filename)\\n\\n single_files.remove(filename)\\n\\n auto_pair = True\\n\\n if prompt and len(paired_files) > 0:\\n pair_list = \\\"\\\"\\n for p in paired_files:\\n pair_list += \\\"\\\\n {} & {}\\\".format(os.path.basename(p[0]), os.path.basename(p[1]))\\n\\n answer = click.confirm(\\n \\\"It appears there are {n_paired_files} paired files (of {n_files} total):{pair_list}\\\\nInterleave them after upload?\\\".format(\\n n_paired_files=len(paired_files) * 2,\\n n_files=len(paired_files) * 2 + len(single_files),\\n pair_list=pair_list,\\n ),\\n default=\\\"Y\\\",\\n )\\n\\n if not answer:\\n auto_pair = False\\n\\n if auto_pair:\\n return paired_files + list(single_files)\\n else:\\n return files\",\n \"def readroster_wait(fpath) :\\n\\twith open(fpath) as fin : \\n\\t\\tlines = [line[56:].split()[0] for line in fin.readlines()]\\n\\treturn lines\",\n \"def read_utterances_from_files(session_folder, voice_sample_folder):\\n utterance_content = []\\n dialog_act = []\\n\\n with open('../test/data/' + session_folder + '/' + voice_sample_folder + '/label.json') as label_data:\\n label = json.load(label_data)\\n\\n for j in range(len(label['turns'])):\\n utterance_content += [label['turns'][j]['transcription']]\\n dialog_act += [label['turns'][j]['semantics']['cam']]\\n\\n session_id = label['session-id']\\n return [dialog_act, utterance_content, session_id]\",\n \"def read_input():\\n return Path(__file__).with_name('input.txt').read_text().splitlines()\",\n \"def local_task_entry(text=\\\"> \\\"):\\n task_completer = localTaskCompleter()\\n while True:\\n result = prompt(text, completer=task_completer)\\n if result not in task_completer.tasks:\\n print(\\\"Invalid task, try again.\\\")\\n else:\\n return result\",\n \"def read_file():\\n # Create a file object called login_details, and give option to read file\\n login_details = open(\\\"login_details.txt\\\",\\\"r\\\")\\n # Create a list containing each line of login_details. List is called contents\\n contents = login_details.readlines()\\n login_details.close()\\n return contents\",\n \"def separate_into_passports(file_contents: str) -> List[str]:\\n result = file_contents.split(\\\"\\\\n\\\\n\\\")\\n return result\",\n \"def txt_file_handler(file) -> list:\\n with open(file, 'r') as poem:\\n bad_chars = ['-', ',', '.', ':']\\n poem = poem.read().title()\\n poem = ''.join((filter(lambda i: i not in bad_chars, poem)))\\n return poem.strip().split()\",\n \"def readPairs(filename):\\r\\n\\r\\n fileIn = open(filename, 'r')\\r\\n \\r\\n outputList = []\\r\\n\\r\\n for line in fileIn:\\r\\n pair = line.replace(\\\"\\\\n\\\",\\\"\\\").split(\\\" \\\")\\r\\n outputList.append(pair)\\r\\n \\r\\n return outputList\\r\\n fileIn.close()\",\n \"def get_pledge_list():\\n with open('pledge.txt',\\\"r\\\") as handler:\\n pledge_list = handler.read().split()\\n return pledge_list\",\n \"def load_su(file_name):\\n def open_():\\n return open(file_name, 'r') if file_name != \\\"-\\\" else sys.stdin\\n\\n marking = []\\n with open_() as file:\\n for row, line in enumerate(filter(None, map(str.strip, file))):\\n for column, token in enumerate(line.split()):\\n if token not in \\\"_0.\\\":\\n marking.append(((row, column), int(token)))\\n\\n return tuple(marking)\",\n \"def parse_file(file):\\n for line in open(file,'r'):\\n line = line.strip()\\n token = line.split('\\\\t')\\n ### loop through ids in second column and print with first columns \\n for item in token[1].split(','):\\n print item+'\\\\t'+token[0]\",\n \"def getRelevantIDsAndProvedIDs(tsvFile): \\r\\n start = datetime.now()\\r\\n relevantIDs = []\\r\\n provedIDs = []\\r\\n with open(tsvFile, \\\"rb\\\") as tsvReader:\\r\\n itemReader = DictReader(tsvReader, delimiter='\\\\t', quotechar='\\\"')\\r\\n for i, item in enumerate(itemReader):\\r\\n item = {featureName:featureValue.decode('utf-8') \\\\\\r\\n for featureName,featureValue in item.items() \\\\\\r\\n if featureValue is not None}\\r\\n \\r\\n if item[\\\"is_blocked\\\"] == \\\"1\\\":\\r\\n relevantIDs.append( int(item[\\\"itemid\\\"]) )\\r\\n if item[\\\"is_proved\\\"] == \\\"1\\\":\\r\\n provedIDs.append( int(item[\\\"itemid\\\"]) ) \\r\\n\\r\\n if (i+1)%1000000 == 0:\\r\\n print(( \\\"%s\\\\t%s\\\"%((i+1),str(datetime.now() - start)) ))\\r\\n\\r\\n return relevantIDs, provedIDs\",\n \"def getTasks():\\n\\ttasks = open(\\\"todo.txt\\\").readlines()\\n\\tif len(tasks):\\n\\t for num in range(len(tasks) - 1, -1, -1):\\n\\t print(\\\"[%d] %s\\\" % (num + 1, tasks[num]), end=\\\"\\\")\\n\\telse:\\n\\t print(\\\"There are no pending todos!\\\")\",\n \"def read_tweets(filename: TextIO) -> Dict[str, List[tuple]]:\\n \\n #file_tweet = open(filename, 'r')\\n \\n tweet_dict = {} \\n list_tuple = []\\n tuple_tweet = ()\\n text_tweet = ''\\n \\n for lines in filename.readline(): \\n line = lines.strip()\\n if '<<<EOT' not in line:\\n if line != '\\\\n' and line.endswith(':'):\\n username = line[0:line.find(':')].lower()\\n elif line[0:14].isnumeric(): \\n source = line.split(',')\\n date = int(source[FILE_DATE_INDEX])\\n source = source[FILE_SOURCE_INDEX]\\n favourite_count = int(source[FILE_FAVOURITE_INDEX])\\n retweet = int(source[FILE_RETWEET_INDEX])\\n else: \\n text_tweet += line \\n else:\\n tuple_tweet = (text_tweet, date, source,\\n favourite_count, retweet)\\n list_tuple = list_tuple + [tuple_tweet]\\n tweet_dict[username] = list_tuple\\n text_tweet = ''\\n \\n return tweet_dict\",\n \"def _ReadEntries(self):\\n scope = {}\\n filename = os.path.join(self._root_dir, self._options.entries_filename)\\n if not os.path.exists(filename):\\n return []\\n exec(gclient_utils.FileRead(filename), scope)\\n return scope[\\\"entries\\\"]\",\n \"def program_data(progf):\\r\\n if os.path.exists(progf):\\r\\n prog = \\\"\\\"\\r\\n for line in open(progf, \\\"r\\\", encoding=\\\"utf-8\\\"):\\r\\n line = line.split(\\\"#\\\")[0]\\r\\n prog += line\\r\\n prog = prog.split()\\r\\n return prog\",\n \"def read_dataFile(fileName):\\n try:\\n questionList = []\\n prompt = None\\n with open(fileName, 'r') as f:\\n for i in f.readlines():\\n i = i.strip('\\\\n')\\n question = {}\\n if len(i.split(',')) == 1:\\n if i != prompt:\\n prompt = i\\n else:\\n question['prompt'] = prompt\\n question['flag'] = False # Has the question been answered?\\n question['title'] = i.split(',')[0]\\n if len(i.split(',')) > 2:\\n question['answer'] = list(i.split(',')[1:])\\n question['multiple_answers'] = True # There are multiple answers to the question.\\n else:\\n question['answer'] = i.split(',')[1]\\n question['multiple_answers'] = False\\n if question:\\n questionList.append(question)\\n return questionList\\n except Exception:\\n print('Error reading data file')\",\n \"def get_ids_from_list_file(list_file):\\n res = []\\n with open(list_file, 'r') as file:\\n for line in file:\\n res.append(line.strip())\\n return res\",\n \"def read(data=None):\\n\\n import subprocess\\n\\n # get live info\\n if data is None:\\n data = subprocess.check_output('squeue -o \\\"%all\\\"', shell=True).decode(\\\"utf-8\\\")\\n\\n # extract the header and the info\\n head, data = data.split(\\\"\\\\n\\\", 1)\\n data = list(filter(None, data.split(\\\"\\\\n\\\")))\\n\\n # get the field-names\\n head = head.split(\\\"|\\\")\\n\\n # convert name (bug in slurm)\\n # Bug #4948, https://bugs.schedmd.com\\n idx = [i for i, key in enumerate(head) if key.strip() == \\\"USER\\\"]\\n if len(idx) > 1:\\n head[idx[1]] = \\\"USER_ID\\\"\\n\\n # convert to list of dictionaries\\n # - initialize\\n lines = []\\n # - loop over lines\\n for line in data:\\n # -- initialize empty dictionary\\n info = {}\\n # -- fill dictionary\\n for key, val in zip(head, line.split(\\\"|\\\")):\\n if len(key.strip()) > 0:\\n info[key.strip()] = val.strip()\\n # -- store to list of lines\\n lines += [info]\\n\\n # return output\\n return lines\",\n \"def get_lines(file_name):\\n phrase_dict = {}\\n file_text = file_name.readlines()\\n for line_index, line in enumerate(file_text):\\n if line.startswith('msgid '):\\n line = line[7:-2]\\n if line:\\n phrase_dict[line_index] = line\\n return phrase_dict, file_text\",\n \"def main_task_entry(text=\\\"> \\\"):\\n task_completer = mainTaskCompleter()\\n while True:\\n result = prompt(text, completer=task_completer)\\n if result not in task_completer.tasks:\\n print(\\\"Invalid task, try again.\\\")\\n else:\\n return result\",\n \"def read_id_from_file(file):\\n input = open(file, 'r')\\n id = input.readline().strip()\\n input.close()\\n return id\",\n \"def read_tsv(file, sep=None):\\n LOG.info(\\\"reading message from %r\\\" % file)\\n\\n for line in open(file):\\n line = line.strip()\\n\\n if not line or line.startswith(\\\"#\\\"):\\n continue\\n\\n yield line.split(sep)\",\n \"def read_tsv(file, sep=None):\\n LOG.info(\\\"reading message from %r\\\" % file)\\n\\n for line in open(file):\\n line = line.strip()\\n\\n if not line or line.startswith(\\\"#\\\"):\\n continue\\n\\n yield line.split(sep)\",\n \"def read_file(file_path):\\n with open(file_path, 'r') as students:\\n return [list(filter(None, re.split(r'[ |,]', student.rstrip('\\\\n')))) for student in students]\",\n \"def _get_transcript_entries(transcript_directory):\\n transcript_files = iglob_recursive(transcript_directory, '*.trans.txt')\\n for transcript_file in transcript_files:\\n with open(transcript_file, 'r') as f:\\n for line in f:\\n # Strip included new line symbol\\n line = line.rstrip('\\\\n')\\n\\n # Each line is in the form\\n # 00-000000-0000 WORD1 WORD2 ...\\n splitted = line.split(' ', 1)\\n yield splitted\",\n \"def seqs_from_file(ids, file_lines):\\r\\n\\r\\n for label, seq in parse_fasta(file_lines):\\r\\n\\r\\n if id_from_fasta_label_line(label) in ids:\\r\\n yield label, seq\",\n \"def readTab(file_name):\\n data = []\\n meta = []\\n l=0\\n for line in open(file_name):\\n if l<3:\\n meta.append(line.strip(\\\"\\\\n\\\").split(\\\"\\\\t\\\"))\\n else:\\n if len(line.strip(\\\"\\\\n\\\").split(\\\"\\\\t\\\")) == len(meta[0]):\\n data.append(line.strip(\\\"\\\\n\\\").split(\\\"\\\\t\\\"))\\n l += 1\\n return (meta, data)\",\n \"def readfile(path):\\n with open(path, 'r', encoding='utf-8') as f:\\n param = tuple(f.readlines())\\n return param\",\n \"def extract_requiremens(file):\\n\\n with open(file, 'r') as file:\\n return file.read().splitlines()\",\n \"def extract_programs(outputf):\\t\\n programs = []\\n with open(outputf,'r') as f:\\n\\t combo_lines = f.readlines()\\n for combo_line in combo_lines:\\n combo = combo_line.split(' ',1)[1]\\n\\t programs.append(combo)\\n return programs\",\n \"def convert_input_to_list():\\n\\n f = open('pizza_source.txt', 'r')\\n file_to_list = f.read().split('\\\\n')\\n\\n return file_to_list\",\n \"def get_file(file_name):\\r\\n f = open(file_name)\\r\\n\\r\\n tids = f.readlines()\\r\\n \\r\\n dataset = [(int(tid), get_from_id(int(tid))) for tid in tids]\\r\\n\\r\\n f.close()\\r\\n return dataset\",\n \"def getidlist(data: str = None) -> List[IDProfiler]:\\n boxids: str = getinput(directory=DIR) if data is None else data\\n idlist: List[IDProfiler] = list(map(IDProfiler, boxids.split(\\\"\\\\n\\\")))\\n return idlist\",\n \"def read_ranked_list(f):\\n result = []\\n if f:\\n stream = f\\n else:\\n import sys\\n stream = sys.stdin\\n for idx, line in enumerate(stream):\\n did = line.strip()\\n result.append(did)\\n stream.close()\\n return result\",\n \"def parse_data_file(self, file_name: str) -> List[Tuple[str, int]]:\\n with open(file_name, \\\"r\\\") as f:\\n data_list = []\\n for line in f.readlines():\\n path, target = line.split()\\n if not os.path.isabs(path):\\n path = os.path.join(self.root, path)\\n target = int(target)\\n data_list.append((path, target))\\n return data_list\",\n \"def parse_fasta_use_bio(file_name):\\n pro_id_list = []\\n for seq_record in SeqIO.parse(file_name, \\\"fasta\\\"):\\n tmp_list = seq_record.id.strip('\\\\n').split('|')\\n pro_id_list.append(tmp_list[1])\\n # break\\n\\n return pro_id_list\",\n \"def get_keys():\\n keys = []\\n with open('keys', 'r') as file:\\n for line in file:\\n keys.append(line.strip('\\\\n'))\\n return tuple(keys)\",\n \"def get_sentence_list_for_word_file(file_path: str) -> List[str]:\\n # get file data\\n with open(file_path, 'r') as review_file:\\n file_text = review_file.read().splitlines()\\n return file_text\",\n \"def hashtable(files: list) -> list:\\n if isinstance(files, list) is False:\\n files = [files]\\n\\n hash_identifier = []\\n for file in files:\\n print(file, end='\\\\r')\\n try: # Avoid crash in case a file name is too long\\n hash_identifier.extend([hashfile(file)])\\n except OSError:\\n hash_identifier.extend(['No hash could be generated'])\\n\\n return hash_identifier\",\n \"def readSeq(seqFile):\\n line = seqFile.readline()\\n seq1 = line.rstrip()\\n line = seqFile.readline()\\n seq2 = line.rstrip()\\n return (seq1, seq2)\",\n \"def readTotitle(fh, titleChar):\\n preLines = []\\n while True:\\n l = fh.readline().strip()\\n if l.startswith(titleChar):\\n return (preLines,l)\\n elif l == '':\\n return preLines,None\\n else:\\n preLines.append(l)\",\n \"def get_user_session_ids_for_task(user_id: str, task_name: str) -> List[str]:\\n listOfSessions = os.listdir('Plots/Research/'+user_id+'/'+task_name)\\n try:\\n listOfSessions.remove('.DS_Store')\\n except:\\n pass\\n return listOfSessions\",\n \"def get_messages_from_file(path: str) -> list[tuple[str, str, str | None, int]]:\\n\\tfrappe.flags.setdefault(\\\"scanned_files\\\", set())\\n\\t# TODO: Find better alternative\\n\\t# To avoid duplicate scan\\n\\tif path in frappe.flags.scanned_files:\\n\\t\\treturn []\\n\\n\\tfrappe.flags.scanned_files.add(path)\\n\\n\\tbench_path = get_bench_path()\\n\\tif not os.path.exists(path):\\n\\t\\treturn []\\n\\n\\twith open(path) as sourcefile:\\n\\t\\ttry:\\n\\t\\t\\tfile_contents = sourcefile.read()\\n\\t\\texcept Exception:\\n\\t\\t\\tprint(f\\\"Could not scan file for translation: {path}\\\")\\n\\t\\t\\treturn []\\n\\n\\t\\tmessages = []\\n\\n\\t\\tif path.lower().endswith(\\\".py\\\"):\\n\\t\\t\\tmessages += extract_messages_from_python_code(file_contents)\\n\\t\\telse:\\n\\t\\t\\tmessages += extract_messages_from_code(file_contents)\\n\\n\\t\\tif path.lower().endswith(\\\".js\\\"):\\n\\t\\t\\t# For JS also use JS parser to extract strings possibly missed out\\n\\t\\t\\t# by regex based extractor.\\n\\t\\t\\tmessages += extract_messages_from_javascript_code(file_contents)\\n\\n\\t\\treturn [\\n\\t\\t\\t(os.path.relpath(path, bench_path), message, context, line)\\n\\t\\t\\tfor (line, message, context) in messages\\n\\t\\t]\",\n \"def extract_program_text(filename: str) -> List[str]:\\n with open(filename) as conf:\\n if filename.endswith('.tfstate'):\\n configs = json.loads(conf.read())\\n program_text = []\\n resources = configs['modules'][0]['resources']\\n for resource in resources:\\n pattern = re.compile(\\\"signalform_detector.*\\\")\\n if pattern.match(resource) is not None:\\n program_text.append(\\n re.sub(r'\\\\n +', '\\\\n', resources[resource]['primary']['attributes']['program_text']),\\n )\\n return program_text\\n else:\\n configs = conf.read()\\n pattern = re.compile(r'program_text:.+(?:=>)?\\\\s+\\\\\\\"(.+)\\\\\\\"')\\n return [re.sub(r'\\\\\\\\n +', '\\\\n', pattern_match) for pattern_match in re.findall(pattern, configs)]\",\n \"def look_up():\\r\\n read_dict = open(\\\"scrabble_words.txt\\\", \\\"r\\\")\\r\\n master = read_dict.read()\\r\\n read_dict.close()\\r\\n master = master.split(\\\"\\\\n\\\")\\r\\n return master\",\n \"def read_entries():\\n entries = []\\n user_dict = user_defined_descriptions(\\n os.path.join(get_config_home(), 'tcharmap', 'descriptions'))\\n charmap_txt = resource_string(__name__, 'charmap').decode('utf-8')\\n lines = charmap_txt.split('\\\\n')[:-1] # discard last newline\\n for line in lines:\\n char, latex, description = line.strip().split(maxsplit=2)\\n user_description = user_dict.get(char, None)\\n entries.append((char, latex, description, user_description))\\n return entries\",\n \"def read_file() -> list: \\n filename = input(\\\"Enter file name: \\\")\\n try:\\n with open(filename, \\\"r\\\", encoding=\\\"utf-8\\\") as file:\\n data = file.read()\\n\\n return two_split_delimiters(data, [\\\" \\\", \\\"\\\\n\\\"])\\n except FileNotFoundError:\\n print(f\\\"File {filename} not found!\\\")\\n return []\",\n \"def read_foods(foods_txt):\\n foods = []\\n for line in foods_txt:\\n ingredients_txt, allergens_txt = line.split(\\\" (contains \\\")\\n ingredients = ingredients_txt.split()\\n allergens = allergens_txt[:-1].split(\\\", \\\")\\n\\n foods.append((ingredients, allergens))\\n\\n return foods\",\n \"def get_strings(src_file):\\n res = []\\n try:\\n res = open(src_file,'r').readlines()\\n res = [x.strip() for x in res]\\n except:\\n res = []\\n return res\",\n \"def parseTasks(mode, fileName):\\n allTasks = []\\n with open(fileName) as f:\\n for line in f:\\n words = line.split(\\\" \\\")\\n checkLineStandardCompliance(words)\\n thisTask = task()\\n thisTask.tBegin = float(words[1])\\n thisTask.tEnd = float(words[2])\\n thisTask.operation = words[3]\\n thisTask.batchSize = float(words[4])\\n thisTask.machine = words[0]\\n if mode == \\\"MTS\\\":\\n mtsInfo = words[0].split(\\\"_\\\")\\n checkMTSinfoCompliance(mtsInfo)\\n thisTask.processingUnit = mtsInfo[0]\\n thisTask.machine = mtsInfo[1]\\n thisTask.order = mtsInfo[2]\\n allTasks.append(thisTask)\\n return allTasks\",\n \"def __get_start_goal_task(question_path):\\n\\n start = None\\n goal = None\\n with open(question_path) as question:\\n for line in question.readlines():\\n if line.startswith('starting task: '):\\n start = set(line.lstrip('starting task: ').rstrip('\\\\n').split(','))\\n elif line.startswith('goal task: '):\\n goal = line.lstrip('goal task: ').rstrip('\\\\n')\\n\\n return start, goal\",\n \"def parse_s_file(reading_path, picks_size):\\n # Prepare vars\\n id = None\\n picks_line = \\\"STAT SP IPHASW\\\" # Beginning of the picks line\\n picks_started = False\\n picks_read = 0\\n picks_dists = [] # Distances\\n if config.seconds_high_precision:\\n picks_seconds = []\\n else:\\n picks_seconds = None\\n\\n # Parsing\\n with open(reading_path, 'r') as f:\\n for line in f:\\n line = line.strip()\\n # Get distance and seconds\\n if picks_started and picks_read < picks_size and len(line) >= 74:\\n try:\\n dist = float(line[70:74])\\n except ValueError as e:\\n dist = None\\n picks_dists.append(dist)\\n\\n if config.seconds_high_precision:\\n try:\\n seconds = float(line[21:27])\\n except ValueError as e:\\n seconds = None\\n picks_seconds.append(seconds)\\n\\n picks_read += 1\\n\\n # Get event ID\\n if len(line) > 73:\\n title = line[0:6]\\n if title == \\\"ACTION\\\":\\n id_title = line[56:59]\\n if id_title == \\\"ID:\\\":\\n id_str = line[59:73]\\n id = str(id_str)\\n\\n # Check if picks section started\\n if len(line) > 25:\\n if line[0:len(picks_line)] == picks_line:\\n picks_started = True\\n\\n return [id, picks_dists, picks_seconds]\",\n \"def readFile(filename): \\n file = open(filename,\\\"r\\\")\\n text = file.read() \\n file.close()\\n \\n voteList = []\\n text=text.split(\\\"\\\\n\\\")\\n \\n for i in range(len(text)-1):\\n text[i]=text[i].strip()\\n voteList.append((text[i]).split(\\\" \\\"))\\n \\n return voteList\",\n \"def get_input():\\n # return TEST_INPUT.split('\\\\n')\\n with open(INPUT_FILE) as f:\\n return f.readlines()\",\n \"def readImageIdsFromTxtFile( self, pathTxtFile ):\\n print pathTxtFile\\n if not os.path.exists(pathTxtFile):\\n print 'File not found ' + pathTxtFile\\n return []\\n \\n # Read the file containing the image IDs\\n fileDataset = open( pathTxtFile, 'r')\\n \\n # Read lines from the text file, stripping the end of line character\\n imageIds = [line.strip() for line in fileDataset ]\\n \\n # Close file\\n fileDataset.close()\\n \\n return imageIds\",\n \"def load_program_from_file(self, program_file: str) -> list:\\n res = []\\n with open(program_file, \\\"r\\\") as prg:\\n for line in prg:\\n line = line.strip()\\n res.append(line)\\n return res\",\n \"def _process(self, file: bytes) -> List[Tuple[str]]:\\n decoded_text = file.decode('utf-8')\\n decoded_lines = decoded_text.split('\\\\n')\\n\\n # Remove titles of Wikipedia articles if desired\\n if self.remove_headers:\\n filtered_lines = []\\n for line in decoded_lines:\\n line_strip = line.strip()\\n if len(line_strip) > 0:\\n if line_strip[0] != '=' and line_strip[-1] != '=':\\n filtered_lines.append(line)\\n decoded_lines = filtered_lines\\n\\n eol = self.eol or ''\\n if self.split_by_line:\\n text = [(line.lstrip() + eol,) for line in decoded_lines]\\n else:\\n text = [(eol.join(decoded_lines),)]\\n\\n return text\",\n \"def importDictionary():\\n with open('res/dictionary.txt', 'r') as f:\\n lines = f.readlines()\\n result = [word.strip() for word in lines]\\n return result\",\n \"def read_modified_alert_ids():\\n # Return an empty list if the file doesn't exist.\\n if not os.path.exists(MODIFIED_ALERTS_FILE):\\n return []\\n # Get a lock on the file\\n lock = filelock.FileLock(MODIFIED_ALERTS_FILE, 5)\\n lock.acquire()\\n # Open the file and read in the data.\\n fp = open(MODIFIED_ALERTS_FILE, \\\"r+\\\")\\n ids = fp.read().split(\\\"\\\\n\\\")\\n # remove zero length strings\\n ids = filter(len, ids)\\n # convert IDs to int\\n ids = list(map(int, ids))\\n # remove duplicates\\n ids = list(set(ids))\\n # close and remove the file\\n fp.close()\\n #TODO: uncomment when live\\n #os.unlink(MODIFIED_ALERTS_FILE)\\n # Release the lock.\\n lock.release()\\n return ids\",\n \"def read_list(file_name):\\n with open(file_name, 'r') as f:\\n text = f.read().splitlines()\\n return text\",\n \"def _read_tsv(file_path):\\n translation_pairs = []\\n with file_path.open() as f:\\n # Note: the correct way to do this is with csv.DictReader, but some examples\\n # have quote characters that confuse the csv parser. Since we know the\\n # source never has its own tab or newline characters, basic Python string\\n # manipulation is fine here, as long as the model doesn't predict tabs or\\n # newlines.\\n for line in f:\\n line = line.strip()\\n line = line.split('\\\\t')\\n if len(line) != 2:\\n raise ValueError(\\n f'Line {line} could not be parsed. You may need to manually '\\n 'replace tab or newline characters in the model output with '\\n 'spaces.'\\n )\\n source, translation = line\\n translation_pairs.append(\\n evaluation.TranslationPair(source=source, translation=translation)\\n )\\n return translation_pairs\",\n \"def get_instructions(file_input: TextIO) -> List[str]:\\n instructions = []\\n for instruction in file_input:\\n instruction = instruction.strip()\\n instructions.append(instruction)\\n\\n return instructions\",\n \"def read_dialog(file):\\n with codecs.open(file, 'r', 'utf-8') as f:\\n contents = [i.strip() for i in f.readlines() if len(i.strip()) != 0]\\n return [json.loads(i) for i in contents]\",\n \"def read_messages(given_file):\\n \\n message_list = given_file.readlines()\\n for i in range(len(message_list)):\\n message_list[i] = message_list[i].strip('\\\\n')\\n return message_list\",\n \"def read_todo_file(self):\\n\\n todo = []\\n in_progress = []\\n done = []\\n if os.path.exists('TODO.txt'):\\n todo_fp = open('TODO.txt', 'r')\\n state = 0\\n line = todo_fp.readline()\\n while line:\\n line = line.strip()\\n if state == 0:\\n if line == '__IN_PROGRESS__':\\n state = 1\\n elif len(line) > 1:\\n todo.append(line)\\n elif state == 1:\\n if line == '__DONE__':\\n state = 2\\n elif len(line) > 1:\\n in_progress.append(line)\\n elif state == 2:\\n if len(line) > 1:\\n done.append(line)\\n line = todo_fp.readline()\\n todo_fp.close()\\n self.todo_scroll_cell.add_item_list(todo)\\n self.in_progress_scroll_cell.add_item_list(in_progress)\\n self.done_scroll_cell.add_item_list(done)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.64376706","0.60924566","0.58151025","0.57231516","0.5679147","0.56595516","0.55473155","0.55078036","0.5376893","0.53262085","0.528849","0.52704746","0.52672356","0.5224767","0.51990306","0.5157543","0.5151916","0.50994694","0.5096022","0.5082734","0.5082397","0.50552934","0.5048677","0.50293094","0.5017126","0.5004947","0.5001437","0.5000919","0.5000667","0.49916473","0.4982497","0.49803713","0.49621153","0.49617165","0.49437922","0.49434072","0.4932618","0.4927957","0.4925709","0.4921284","0.4915427","0.4914891","0.49101466","0.49020925","0.4893135","0.4890101","0.4883138","0.48788267","0.48737946","0.48732084","0.4872554","0.48724192","0.48585802","0.48548928","0.48529828","0.48437065","0.48407674","0.48407674","0.48376197","0.48372293","0.4826562","0.48196858","0.48102868","0.4807285","0.48058113","0.48017353","0.48004076","0.47987026","0.47978064","0.47976476","0.4796807","0.4792882","0.4791641","0.47903815","0.47829223","0.4782433","0.47798994","0.477736","0.4772124","0.47711095","0.4770503","0.47677958","0.4764116","0.47596905","0.47591373","0.47590536","0.47587562","0.47570178","0.4756701","0.47541156","0.47526783","0.47502837","0.47456422","0.47415292","0.47399417","0.47371584","0.47364044","0.4735474","0.47222745","0.47208753"],"string":"[\n \"0.64376706\",\n \"0.60924566\",\n \"0.58151025\",\n \"0.57231516\",\n \"0.5679147\",\n \"0.56595516\",\n \"0.55473155\",\n \"0.55078036\",\n \"0.5376893\",\n \"0.53262085\",\n \"0.528849\",\n \"0.52704746\",\n \"0.52672356\",\n \"0.5224767\",\n \"0.51990306\",\n \"0.5157543\",\n \"0.5151916\",\n \"0.50994694\",\n \"0.5096022\",\n \"0.5082734\",\n \"0.5082397\",\n \"0.50552934\",\n \"0.5048677\",\n \"0.50293094\",\n \"0.5017126\",\n \"0.5004947\",\n \"0.5001437\",\n \"0.5000919\",\n \"0.5000667\",\n \"0.49916473\",\n \"0.4982497\",\n \"0.49803713\",\n \"0.49621153\",\n \"0.49617165\",\n \"0.49437922\",\n \"0.49434072\",\n \"0.4932618\",\n \"0.4927957\",\n \"0.4925709\",\n \"0.4921284\",\n \"0.4915427\",\n \"0.4914891\",\n \"0.49101466\",\n \"0.49020925\",\n \"0.4893135\",\n \"0.4890101\",\n \"0.4883138\",\n \"0.48788267\",\n \"0.48737946\",\n \"0.48732084\",\n \"0.4872554\",\n \"0.48724192\",\n \"0.48585802\",\n \"0.48548928\",\n \"0.48529828\",\n \"0.48437065\",\n \"0.48407674\",\n \"0.48407674\",\n \"0.48376197\",\n \"0.48372293\",\n \"0.4826562\",\n \"0.48196858\",\n \"0.48102868\",\n \"0.4807285\",\n \"0.48058113\",\n \"0.48017353\",\n \"0.48004076\",\n \"0.47987026\",\n \"0.47978064\",\n \"0.47976476\",\n \"0.4796807\",\n \"0.4792882\",\n \"0.4791641\",\n \"0.47903815\",\n \"0.47829223\",\n \"0.4782433\",\n \"0.47798994\",\n \"0.477736\",\n \"0.4772124\",\n \"0.47711095\",\n \"0.4770503\",\n \"0.47677958\",\n \"0.4764116\",\n \"0.47596905\",\n \"0.47591373\",\n \"0.47590536\",\n \"0.47587562\",\n \"0.47570178\",\n \"0.4756701\",\n \"0.47541156\",\n \"0.47526783\",\n \"0.47502837\",\n \"0.47456422\",\n \"0.47415292\",\n \"0.47399417\",\n \"0.47371584\",\n \"0.47364044\",\n \"0.4735474\",\n \"0.47222745\",\n \"0.47208753\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.61813223"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":89993,"cells":{"query":{"kind":"string","value":"This reads a file in the shared task format, and returns a dictionary with prompt IDs as keys, and each key associated with a dictionary of responses."},"document":{"kind":"string","value":"def read_transfile(lines: List[str], strip_punc=True, weighted=False, lowercase=True, length=0) -> Dict[str, Dict[str, float]]:\n data = OrderedDict()\n first = True\n options = {}\n key = \"\"\n keylen = 0\n for line in lines:\n if lowercase:\n line = line.strip().lower()\n else:\n line = line.strip()\n # in a group, the first one is the KEY. \n # all others are part of the set. \n if len(line) == 0:\n first = True\n if len(key) > 0 and len(options) > 0:\n if key in data:\n print(f\"Warning: duplicate sentence! {key}\")\n if length == 0 or length == keylen:\n data[key] = options\n options= {}\n else:\n if first:\n key, prompt = line.strip().split(FIELDSEP)\n keylen = len(prompt.split())\n first = False\n else:\n # allow that a line may have a number at the end specifying the weight that this element should take. \n # this is controlled by the weighted argument.\n # gold is REQUIRED to have this weight.\n if FIELDSEP in line:\n text, weight = line.strip().split(FIELDSEP)\n else:\n text = line.strip()\n weight = 1\n\n if strip_punc:\n text = remove_punctuation(text)\n\n options[text] = float(weight)\n\n # check if there is still an element at the end.\n if len(options) > 0 and (length == 0 or length == keylen):\n data[key] = options\n\n return data"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def parse_prompt_file(prompt_file):\n with io.open(prompt_file, mode=\"r\", encoding='utf-8', errors='ignore') as prompt_f:\n return [prompt_f.readline().rstrip(),\n prompt_f.readline().rstrip()]","def read_default_prompts():\n if os.path.exists(DEFAULT_PROMPTS_PATH):\n with open(DEFAULT_PROMPTS_PATH, 'r') as file:\n return {key: value for [key, value] in (line.rstrip().split('=') for line in file)}\n else:\n return {}","def get_commands_dict() -> dict:\n commands_dict = {}\n f = open(f\"data/metadata/commands.dict.txt\", \"r\", encoding=\"utf-8\").read()\n for command in f.split(\"\\n\"):\n commands_dict[command.split(\":\")[0]] = command.split(\":\")[1]\n return commands_dict","def read_shared_secrets_from_file(f):\n shares = []\n words = []\n for line in f.readlines():\n line = line.strip()\n if line and not re.match(r\"\\s*\\w+\", line):\n continue\n if line:\n words.extend(line.split())\n elif words:\n shares.append(\" \".join(words))\n words = []\n if words:\n shares.append(\" \".join(words))\n return shares","def read_trans_prompts(lines: List[str], lowercase=True) -> List[Tuple[str,str]]:\n\n ids_prompts = []\n first = True\n for line in lines:\n if lowercase:\n line = line.strip().lower()\n else:\n line = line.strip()\n # in a group, the first one is the KEY. \n # all others are part of the set. \n if len(line) == 0:\n first = True\n else:\n if first:\n key, prompt = line.split(FIELDSEP)\n ids_prompts.append((key, prompt))\n first = False\n\n return ids_prompts","def read_file(f, prefix=None):\n p_data = {}\n # This first line is the header for the entire file.\n line = f.next()\n line = line.strip()\n # prev_line = line\n top_header = line.split(',')\n if not top_header:\n # Don't parse this for now.\n pass\n # Now read in per-participant data.\n while True:\n word_list = []\n all_words_data = {}\n # The first line for the participant is a header.\n try:\n line = f.next()\n except StopIteration:\n # We had previously read everything, so we're done.\n break\n line = line.strip()\n p_header = line.split(',')\n\n # The participant's ID # comes first.\n p_id = p_header[0]\n if not p_id:\n # This happens when the previous participant didn't answer.\n \"\"\"\n print 'previous line:', prev_line\n print 'current line:', line\n print 'p header:', p_header\n print\n \"\"\"\n continue\n if prefix:\n p_id = prefix + p_id\n # print 'SN #', p_id\n # The number of N/A's this p is at 28.\n try:\n p_nas = int(p_header[28])\n except ValueError:\n # This happens when an RA messes up the file.\n \"\"\"\n print 'nas: previous line:', prev_line\n print 'nas: current line:', line\n print 'nas: p header:', p_header\n print\n \"\"\"\n raise\n # print \"NA's: #\", p_nas\n # Check if this participant left everything blank.\n # XXX: Have to hard-code this.\n if p_nas == 20:\n p_data[p_id] = {'words': None,\n 'word_data': None,\n 'nas': None,\n 'overall': None}\n continue\n # The next line after the header has both the data\n # for the first word and overall statistics.\n # prev_line = line\n try:\n line = f.next()\n except StopIteration:\n # We had previously read everything, so we're done.\n break\n line = line.strip()\n word, word_data, overall_data = parse_first_line(line.split(','))\n word_list.append(word)\n all_words_data[word] = word_data\n # Now read data for the rest of the words.\n for line in f:\n line = line.strip()\n word, word_data = parse_data_lines(line.split(','))\n if word == '':\n \"\"\"\n print \"loop's previous line:\", prev_line\n print \"loop's current line:\", line\n print\n \"\"\"\n # prev_line = line\n break\n word_list.append(word)\n all_words_data[word] = word_data\n # prev_line = line\n # Compute per-word averages\n all_total_avg, future_total_avg, past_total_avg = \\\n datacomputer.compute_all_future_past(all_words_data)\n overall_data['all'] = all_total_avg\n overall_data['future'] = future_total_avg\n overall_data['past'] = past_total_avg\n p_data[p_id] = {'words': word_list,\n 'word_data': all_words_data,\n 'nas': p_nas,\n 'overall': overall_data}\n # print 'p_data'\n # print p_data[p_id]\n # print\n print \"Processed {} participants' data\".format(len(p_data))\n return p_data","def workflow_fetch_item_task_spec(dtool_smb_config):\n return {\n 'item_id': {'key': 'search_dict_task->result'},\n 'source': 'smb://test-share/1a1f9fad-8589-413e-9602-5bbd66bfe675',\n 'filename': 'fetched_item.txt',\n 'dtool_config': dtool_smb_config,\n 'stored_data': True,\n }","def __load_dialogue_ids(self, filename):\n with open(filename, \"r\") as file:\n return file.readlines()[0].split()","def read_target_and_labels_from_file(file_path):\n stemmer = SnowballStemmer(\"english\")\n dialog_acts = []\n utterances = []\n with open(file_path, \"r\") as file:\n for line in file.readlines():\n dialog_acts.append(line.split()[0])\n utterances.append(stemmer.stem(line[line.find(\" \"):].strip()))\n return dialog_acts, utterances","def read_dataFile(fileName):\n try:\n questionList = []\n prompt = None\n with open(fileName, 'r') as f:\n for i in f.readlines():\n i = i.strip('\\n')\n question = {}\n if len(i.split(',')) == 1:\n if i != prompt:\n prompt = i\n else:\n question['prompt'] = prompt\n question['flag'] = False # Has the question been answered?\n question['title'] = i.split(',')[0]\n if len(i.split(',')) > 2:\n question['answer'] = list(i.split(',')[1:])\n question['multiple_answers'] = True # There are multiple answers to the question.\n else:\n question['answer'] = i.split(',')[1]\n question['multiple_answers'] = False\n if question:\n questionList.append(question)\n return questionList\n except Exception:\n print('Error reading data file')","def read(file_):\n if not os.path.isfile(file_):\n raise AssertionError()\n\n dict_ = {}\n for line in open(file_).readlines():\n\n list_ = shlex.split(line)\n\n is_empty = (list_ == [])\n\n if not is_empty:\n is_keyword = list_[0].isupper()\n else:\n is_keyword = False\n\n if is_empty:\n continue\n\n if is_keyword:\n keyword = list_[0]\n dict_[keyword] = {}\n continue\n\n process(list_, dict_, keyword)\n\n dict_ = auxiliary(dict_)\n\n # We perform some basic consistency checks regarding the user's request.\n check_initialization_dict(dict_)\n\n return dict_","def loadEmailData():\n if os.stat('data/trialdata.txt').st_size == 0:\n return {}\n\n with open('data/emaildata.txt', 'r') as f:\n lines = f.readlines()\n ids = [line.split()[0] for line in lines]\n results = ([int(line.split()[1] == 'True') for line in lines])\n data = {id:result for id, result in zip(ids, results)}\n\n return data","def file_to_dictionary():\n\n return;","def get_lines(file_name):\n phrase_dict = {}\n file_text = file_name.readlines()\n for line_index, line in enumerate(file_text):\n if line.startswith('msgid '):\n line = line[7:-2]\n if line:\n phrase_dict[line_index] = line\n return phrase_dict, file_text","def read_speeches(filename):\n\n # Open a speech file\n speech_file = open(filename)\n\n # Create a new dictionary\n speech_dict = {}\n\n # Iterate over lines\n for line in speech_file:\n # Replace whitespace, including /n, at the end of a line with a single space\n line = line.rstrip() + ' '\n\n # Given that a title begins with #\n if line.startswith('#'):\n # Remove '# ' at the beginning and ': ' at the end, to be used as a title\n title = line[2:-2]\n # Assign the tile as a key in the dictionary\n speech_dict[title] = ''\n # A speech line does not begins with #\n else:\n # Not begins with [ either\n if line.startswith('[') is False:\n # Append the speech line to the already existing string of the corresponding title\n # The tile variable is kept from the previous loop(s)\n speech_dict[title] += line\n\n # Close the file\n speech_file.close()\n\n return speech_dict","def parse_command(self, task_id: int, comm_dict: dict):\n\n request_data = None\n request_time = None\n\n command_data = None\n command = None\n \n # TODO: Fix the problem where the request/response is parsed in the wrong order\n # if we change the order the getsystem works, but otherwise it displays missing response\n try:\n\n command = comm_dict['command']\n request_data = comm_dict['request']\n request_time = comm_dict['request_time']\n\n command_data = comm_dict['response']\n\n except KeyError as comm_type:\n\n with open(self.output_file, 'a') as command_output:\n command_output.write(f\"\\n{request_time}\\tTASK ID: {task_id}\\t TASK: <MISSING>\\n\")\n if command:\n command_output.write(f\"\\n\\tCOMMAND: {command}\\tMissing: {comm_type}\")\n if command_data:\n command_output.write(f\"\\n\\tMissing C2 command.\\n\\tCOMMAND DATA:\\n{command_data}\\n\\n\")\n\n return\n\n # COMMAND PARSING START\n # TODO:\n # - MsgTunnelData/Close\n # - MsgWGListForwardersReq\n # - MsgWGListSocksReq\n\n # DEBUG\n # print(command, request_data[:32])\n \n if command == \"MsgTaskReq\":\n task_req = sliver_pb2.TaskReq()\n task_req.ParseFromString(request_data)\n\n session_id = task_req.Request.SessionID\n\n task_data = task_req.Data\n\n with open(self.output_file, 'a') as task_output:\n task_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\tTASK: {command}\\n\")\n\n if len(task_data) > 0:\n task_md5 = hashlib.md5(task_data).digest()\n\n task_filename = f\"{self.dump_dir}/{self.sliver_session}_{command}_{task_md5.hex()}.bin\"\n\n with open(task_filename, 'wb') as dump_file:\n dump_file.write(task_data)\n\n task_output.write(f\"\\n\\tDumped shellcode in: {task_filename}\\n\")\n\n elif command == \"MsgPing\":\n ping_handler = sliver_pb2.Ping()\n ping_handler.ParseFromString(command_data)\n\n session_id = ping_handler.Request.SessionID\n\n ping_nonce = ping_handler.Nonce\n \n with open(self.output_file, 'a') as ping_output:\n ping_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\tTASK: {command}\\n\")\n ping_output.write(f\"\\n\\tReceived Ping Nonce: {ping_nonce}\\n\")\n\n elif command == \"MsgKillSessionReq\":\n kill_req = sliver_pb2.KillSessionReq()\n kill_req.ParseFromString(request_data)\n\n session_id = kill_req.Request.SessionID\n\n with open(self.output_file, 'a') as kill_output:\n kill_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\tTASK: {command}\\n\")\n kill_output.write(f\"\\n\\tForce: {kill_req.Force}\\n\")\n\n elif command == \"MsgLsReq\":\n ls_req = sliver_pb2.LsReq()\n ls_req.ParseFromString(request_data)\n\n session_id = ls_req.Request.SessionID\n \n ls_handler = sliver_pb2.Ls()\n ls_handler.ParseFromString(command_data)\n\n path = ls_handler.Path\n files = ls_handler.Files\n \n with open(self.output_file, 'a') as ls_output:\n ls_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\tTASK: {command}\\n\")\n ls_output.write(f\"\\n\\tPath: {path}\\n\\t{'-' * 50}\\n\")\n\n for file in files:\n if file.IsDir:\n ls_output.write(f\"\\t<dir>\\t\\t{file.Name}\\n\")\n else:\n ls_output.write(f\"\\t{file.Size}\\t\\t{file.Name}\\n\")\n\n elif command == \"MsgDownloadReq\":\n download_req = sliver_pb2.DownloadReq()\n download_req.ParseFromString(request_data)\n\n session_id = download_req.Request.SessionID\n\n download_handler = sliver_pb2.Download()\n download_handler.ParseFromString(command_data)\n\n path = download_handler.Path\n encoder = download_handler.Encoder\n response = download_handler.Response\n download_data = download_handler.Data\n \n with open(self.output_file, 'a') as download_output:\n download_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n download_output.write(f\"\\n\\tDownloading: {path} - Encoder: {encoder}\\n\")\n\n if len(download_data) > 0:\n download_md5 = hashlib.md5(download_data).digest()\n\n download_filename = f\"{self.dump_dir}/{self.sliver_session}_{command}_{download_md5.hex()}\"\n\n with open(download_filename, 'wb') as dump_file:\n dump_file.write(download_data)\n \n download_output.write(f\"\\n\\tDumped file in: {download_filename}\\n\")\n else:\n download_output.write(f\"\\n\\t{response}\\n\")\n\n elif command == \"MsgUploadReq\":\n upload = sliver_pb2.UploadReq()\n upload.ParseFromString(request_data)\n\n session_id = upload.Request.SessionID\n \n upload_data = upload.Data\n\n upload_handler = sliver_pb2.UploadReq()\n upload_handler.ParseFromString(command_data)\n\n path = upload_handler.Path\n encoder = upload.Encoder\n\n with open(self.output_file, 'a') as upload_output:\n upload_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n upload_output.write(f\"\\n\\tUploaded: {path} - Encoder: {encoder}\\n\")\n \n if len(upload_data) > 0:\n upload_md5 = hashlib.md5(upload_data).digest()\n\n upload_filename = f\"{self.dump_dir}/{self.sliver_session}_{command}_{upload_md5.hex()}\"\n\n with open(upload_filename, 'wb') as dump_file:\n dump_file.write(upload_data)\n\n upload_output.write(f\"\\n\\tDumped file in: {upload_filename}\\n\")\n else:\n upload_output.write(f\"\\n\\tUpload failed\\n\")\n\n elif command == \"MsgCdReq\":\n cd_req = sliver_pb2.CdReq()\n cd_req.ParseFromString(request_data)\n\n session_id = cd_req.Request.SessionID\n\n cd_handler = sliver_pb2.CdReq()\n cd_handler.ParseFromString(command_data)\n \n cd_path = cd_handler.Path\n\n with open(self.output_file, 'a') as cd_output:\n cd_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n if len(cd_path) > 0:\n cd_output.write(f\"\\n\\tWorking directory: {cd_path}\\n\")\n\n elif command == \"MsgPwdReq\":\n pwd_req = sliver_pb2.PwdReq()\n pwd_req.ParseFromString(request_data)\n\n session_id = pwd_req.Request.SessionID\n\n pwd_handler = sliver_pb2.Pwd()\n pwd_handler.ParseFromString(command_data)\n\n with open(self.output_file, 'a') as pwd_output:\n pwd_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\\n\")\n pwd_output.write(f\"\\t{pwd_handler}\\n\")\n\n elif command == \"MsgRmReq\":\n rm_req = sliver_pb2.RmReq()\n rm_req.ParseFromString(request_data)\n\n session_id = rm_req.Request.SessionID\n\n rm_handler = sliver_pb2.Rm()\n rm_handler.ParseFromString(command_data)\n\n path = rm_handler.Path\n response = rm_handler.Response\n \n with open(self.output_file, 'a') as rm_output:\n rm_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\\n\")\n\n rm_output.write(f\"\\tRemoving directory: {path}\\n\")\n rm_output.write(f\"\\t{response}\\n\")\n\n elif command == \"MsgMkdirReq\":\n mkdir_req = sliver_pb2.MkdirReq()\n mkdir_req.ParseFromString(request_data)\n\n session_id = mkdir_req.Request.SessionID\n\n mkdir_handler = sliver_pb2.Mkdir()\n mkdir_handler.ParseFromString(command_data)\n\n path = mkdir_handler.Path\n response = mkdir_handler.Response\n\n with open(self.output_file, 'a') as mkdir_output:\n mkdir_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\\n\")\n\n mkdir_output.write(f\"\\tCreating directory: {path}\\n\")\n mkdir_output.write(f\"\\t{response}\\n\")\n \n elif command == \"MsgPsReq\":\n ps_req = sliver_pb2.PsReq()\n ps_req.ParseFromString(request_data)\n\n session_id = ps_req.Request.SessionID\n\n ps_handler = sliver_pb2.Ps()\n ps_handler.ParseFromString(command_data)\n\n processes = ps_handler.Processes\n\n with open(self.output_file, 'a') as ps_output:\n ps_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\tTASK: {command}\\n\")\n\n for proc in processes:\n ps_output.write(f\"\\tPID: {proc.Pid}\\t- PPID: {proc.Ppid}\\t- Process Name: {proc.Executable}\\n\")\n\n elif command == \"MsgShellReq\":\n\n # TODO\n # Currently Tunnels are not followed in the traffic\n # Workaround -> store the PID and do some manual analysis on the pid started\n # OR: buildin extra check that checks for tunnel ID and read everything on the pipe (store as protobuf or something)\n shell_req = sliver_pb2.ShellReq()\n shell_req.ParseFromString(request_data)\n\n session_id = shell_req.Request.SessionID\n\n shell_handler = sliver_pb2.Shell()\n shell_handler.ParseFromString(command_data)\n\n tunnel_id = shell_req.TunnelID\n pid = shell_handler.Pid\n\n with open(self.output_file, 'a') as shell_output:\n shell_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\tTASK: {command}\\n\")\n shell_output.write(f\"\\n\\tTUNNEL ID: {tunnel_id}\\tPID: {pid}\\n\")\n\n elif command == \"MsgTunnelData\":\n pass\n\n elif command == \"MsgTunnelClose\":\n pass\n\n # NOTE: THIS SEEMS BROKEN -> dunno how to fix\n elif command == \"MsgProcessDumpReq\":\n procdump_req = sliver_pb2.ProcessDumpReq()\n procdump_req.ParseFromString(request_data)\n\n session_id = procdump_req.Request.SessionID\n pid = procdump_req.Pid\n\n procdump_resp = sliver_pb2.ProcessDump()\n procdump_resp.ParseFromString(command_data)\n\n procdump = procdump_resp.Data\n\n with open(self.output_file, 'a') as procdump_output:\n procdump_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n procdump_output.write(f\"\\n\\tRequested process dump for: {pid}\\n\")\n\n if len(procdump) > 0:\n memdump_md5 = hashlib.md5(procdump).digest()\n memdump_filename = f\"{self.dump_dir}_{self.sliver_session}_{command}_{memdump_md5.hex()}.bin\"\n with open(memdump_filename, 'wb') as dump_file:\n dump_file.write(procdump)\n\n procdump_output.write(f\"\\n\\tMemdump file saved to: {memdump_filename}\\n\") \n\n elif command == \"MsgImpersonateReq\":\n impersonate_req = sliver_pb2.ImpersonateReq()\n impersonate_req.ParseFromString(request_data)\n\n session_id = impersonate_req.Request.SessionID\n username = impersonate_req.Username\n\n impersonate_handler = sliver_pb2.Impersonate()\n impersonate_handler.ParseFromString(command_data)\n\n response = str(impersonate_handler.Response)\n \n with open(self.output_file, 'a') as impersonate_output:\n impersonate_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n if response:\n impersonate_output.write(f\"\\n\\t{response}\\n\")\n else:\n impersonate_output.write(f\"\\n\\tImpersonated: {username}\\n\")\n\n elif command == \"MsgRunAsReq\":\n runas_req = sliver_pb2.RunAsReq()\n runas_req.ParseFromString(request_data)\n\n session_id = runas_req.Request.SessionID\n username = runas_req.Username\n procname = runas_req.ProcessName\n args = runas_req.Args\n\n runas_handler = sliver_pb2.RunAs()\n runas_handler.ParseFromString(command_data)\n\n response = str(runas_handler.Response)\n\n with open(self.output_file, 'a') as runas_output:\n runas_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n\n runas_output.write(f\"\\n\\tUsername: {username}\\tProcess: {procname}\\tArgs:{args}\\n\")\n\n if len(response) > 0:\n runas_output.write(f\"\\t{response}\\n\")\n\n elif command == \"MsgRevToSelfReq\":\n revtoself_req = sliver_pb2.RevToSelfReq()\n revtoself_req.ParseFromString(request_data)\n\n session_id = revtoself_req.Request.SessionID\n\n revtoself_handler = sliver_pb2.RevToSelf()\n revtoself_handler.ParseFromString(command_data)\n\n response = str(revtoself_handler.Response)\n \n with open(self.output_file, 'a') as revtoself_output:\n revtoself_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n if len(response) > 0:\n revtoself_output.write(f\"\\t{response}\\n\")\n else:\n revtoself_output.write(\"\\n\\tSuccessfully reverted token\\n\")\n\n elif command == \"MsgInvokeGetSystemReq\":\n getsystem_req = sliver_pb2.InvokeGetSystemReq()\n getsystem_req.ParseFromString(request_data)\n\n session_id = getsystem_req.Request.SessionID\n hostproc = getsystem_req.HostingProcess\n\n implant = getsystem_req.Data\n\n with open(self.output_file, 'a') as getsystem_output:\n getsystem_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n getsystem_output.write(f\"\\n\\tImplant session spawned in {hostproc}\\n\")\n\n if len(implant) > 0:\n implant_md5 = hashlib.md5(implant).digest()\n implant_filename = f\"{self.dump_dir}/{self.sliver_session}_{command}_{implant_md5.hex()}\"\n with open(implant_filename, 'wb') as implant_file:\n implant_file.write(implant)\n\n getsystem_output.write(f\"\\n\\tGetSystem session implant written to: {implant_filename}\\n\")\n\n elif command == \"MsgInvokeExecuteAssemblyReq\":\n exec_assembly_req = sliver_pb2.InvokeExecuteAssemblyReq()\n exec_assembly_req.ParseFromString(request_data)\n\n session_id = exec_assembly_req.Request.SessionID\n\n assembly = exec_assembly_req.Data\n pid = exec_assembly_req.Pid\n\n with open(self.output_file, 'a') as assembly_output:\n assembly_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n assembly_output.write(f\"\\n\\tTasked to execute assembly into: {pid}\\n\")\n\n assembly_md5 = hashlib.md5(assembly).digest()\n assembly_filename = f\"{self.dump_dir}_{self.sliver_session}_{command}_{assembly_md5.hex()}.bin\"\n with open(assembly_filename, 'wb') as assembly_file:\n assembly_file.write(assembly)\n\n assembly_output.write(f\"\\n\\tWritten assembly to: {assembly_filename}\\n\")\n\n elif command == \"MsgExecuteAssemblyReq\":\n exec_assembly_req = sliver_pb2.ExecuteAssemblyReq()\n exec_assembly_req.ParseFromString(request_data)\n\n session_id = exec_assembly_req.Request.SessionID\n\n assembly = exec_assembly_req.Assembly\n args = exec_assembly_req.Args\n process = exec_assembly_req.Process\n dll = exec_assembly_req.IsDLL\n arch = exec_assembly_req.Arch\n classname = exec_assembly_req.ClassName\n method = exec_assembly_req.Method\n appdomain = exec_assembly_req.AppDomain\n\n with open(self.output_file, 'a') as assembly_output:\n assembly_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n assembly_output.write(f\"\\n\\tExecute assembly request:\\n\")\n assembly_output.write(f\"\\n\\t\\tArgs: {args}\\n\\t\\tProcess: {process}\\n\\t\\tDLL: {dll}\\n\\t\\tArch: {arch}\\n\\t\\tClassName: {classname}\\n\\t\\tMethod: {method}\\n\\t\\tAppDomain{appdomain}\")\n\n assembly_md5 = hashlib.md5(assembly).digest()\n assembly_filename = f\"{self.dump_dir}_{self.sliver_session}_{command}_{assembly_md5.hex()}.bin\"\n with open(assembly_filename, 'wb') as assembly_file:\n assembly_file.write(assembly)\n\n assembly_output.write(f\"\\n\\tWritten assembly to: {assembly_filename}\\n\")\n\n elif command == \"MsgInvokeMigrateReq\":\n migrate_handler = sliver_pb2.InvokeMigrateReq()\n migrate_handler.ParseFromString(request_data)\n\n session_id = migrate_handler.Request.SessionID\n \n shellcode = migrate_handler.Data\n pid = migrate_handler.Pid\n \n with open(self.output_file, 'a') as migrate_output:\n migrate_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n migrate_output.write(f\"\\n\\tMigrated into PID: {pid}\\n\")\n\n if len(shellcode) > 0:\n shellcode_md5 = hashlib.md5(shellcode).digest()\n shellcode_filename = f\"{self.dump_dir}/{self.sliver_session}_{command}_{shellcode_md5.hex()}.bin\"\n with open(shellcode_filename, 'wb') as shellcode_file:\n shellcode_file.write(shellcode)\n \n migrate_output.write(f\"\\n\\tShellcode written to: {shellcode_filename}\\n\")\n\n elif command == \"MsgSideloadReq\":\n sideload_req = sliver_pb2.SideloadReq()\n sideload_req.ParseFromString(request_data)\n\n session_id = sideload_req.Request.SessionID\n\n dll = sideload_req.Data\n dll_args = sideload_req.Args\n dll_entrypoint = sideload_req.EntryPoint\n process = sideload_req.ProcessName\n dll_kill = sideload_req.Kill\n\n with open(self.output_file, 'a') as dll_output:\n dll_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n dll_output.write(f\"\\tRequested DLL injection into: {process}\\n\")\n dll_output.write(f\"\\t\\tDLL entrypoint: {dll_entrypoint}\\n\\t\\tDLL args: {dll_args}\\n\\t\\tKill: {dll_kill}\\n\")\n\n if len(dll) > 0:\n dll_md5 = hashlib.md5(dll).digest()\n dll_filename = f\"{self.dump_dir}/{self.sliver_session}_{command}_{dll_md5.hex()}.dll\"\n\n with open(dll_filename, 'wb') as dll_file:\n dll_file.write(dll)\n\n dll_output.write(f\"\\nDLL written to: {dll_filename}\\n\")\n\n elif command == \"MsgSpawnDllReq\":\n dll_req = sliver_pb2.SpawnDllReq()\n dll_req.ParseFromString(request_data)\n\n session_id = dll_req.Request.SessionID\n\n dll = dll_req.Data\n dll_args = dll_req.Args\n dll_offset = dll_req.Offset\n process = dll_req.ProcessName\n dll_kill = dll_req.Kill\n\n with open(self.output_file, 'a') as dll_output:\n dll_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n dll_output.write(f\"\\tRequested DLL injection into: {process}\\n\")\n dll_output.write(f\"\\t\\tDLL offset: {dll_offset}\\n\\t\\tDLL args: {dll_args}\\n\\t\\tKill: {dll_kill}\\n\")\n\n if len(dll) > 0:\n dll_md5 = hashlib.md5(dll).digest()\n dll_filename = f\"{self.dump_dir}/{self.sliver_session}_{command}_{dll_md5.hex()}.dll\"\n with open(dll_filename, 'wb') as dll_file:\n dll_file.write(dll)\n\n dll_output.write(f\"\\nDLL written to: {dll_filename}\\n\")\n\n elif command == \"MsgIfconfigReq\":\n ifconfig_req = sliver_pb2.IfconfigReq()\n ifconfig_req.ParseFromString(request_data)\n\n session_id = ifconfig_req.Request.SessionID\n\n ifconfig_handler = sliver_pb2.Ifconfig()\n ifconfig_handler.ParseFromString(command_data)\n\n interfaces = ifconfig_handler.NetInterfaces\n\n with open(self.output_file, 'a') as ifconfig_output:\n ifconfig_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n\n for iface in interfaces:\n ifconfig_output.write(f\"\\n\\tInterface: {iface.Name}\\t MAC: {iface.MAC}\\n\")\n\n for address in iface.IPAddresses:\n ifconfig_output.write(f\"\\t\\tAddress: {address}\\n\")\n\n elif command == \"MsgExecuteReq\":\n execute_req = sliver_pb2.ExecuteReq()\n execute_req.ParseFromString(request_data)\n\n session_id = execute_req.Request.SessionID\n \n path = execute_req.Path\n\n execute_handler = sliver_pb2.Execute()\n execute_handler.ParseFromString(command_data)\n\n result = execute_handler.Result\n \n with open(self.output_file, 'a') as execute_output:\n execute_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n execute_output.write(f\"\\n\\tExecuted: {path}\\n\\n\")\n execute_output.write(f\"\\t{result}\\n\")\n\n elif command == \"MsgTerminateReq\":\n terminate_req = sliver_pb2.TerminateReq()\n terminate_req.ParseFromString(request_data)\n\n session_id = terminate_req.Request.SessionID\n\n pid = terminate_req.Pid\n force = terminate_req.Force\n\n terminate_resp = sliver_pb2.Terminate()\n terminate_resp.ParseFromString(command_data)\n\n response = str(terminate_resp.Response)\n\n with open(self.output_file, 'a') as terminate_output:\n terminate_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n\n if len(response) > 0:\n terminate_output.write(f\"\\n\\tFailed to terminate PID: {pid}\\n\")\n else:\n terminate_output.write(f\"\\n\\tTerminated PID: {pid}\\tForce: {force}\\n\")\n\n elif command == \"MsgScreenshotReq\":\n screenshot_req = sliver_pb2.ScreenshotReq()\n screenshot_req.ParseFromString(request_data)\n\n session_id = screenshot_req.Request.SessionID\n\n screenshot_handler = sliver_pb2.Screenshot()\n screenshot_handler.ParseFromString(command_data)\n\n response = screenshot_handler.Response\n\n screenshot_data = screenshot_handler.Data\n\n with open(self.output_file, 'a') as screenshot_output:\n screenshot_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n\n if len(screenshot_data) > 0:\n screenshot_md5 = hashlib.md5(screenshot_data).digest()\n screenshot_file = f\"{self.dump_dir}/{self.sliver_session}_{command}_{screenshot_md5.hex()}.png\"\n\n with open(screenshot_file, 'wb') as dump_file:\n dump_file.write(screenshot_data)\n \n screenshot_output.write(f\"\\n\\tScreenshot written to: {screenshot_file}\\n\")\n\n else:\n screenshot_output.write(f\"\\n\\t{response}\\n\") \n\n elif command == \"MsgNetstatReq\":\n netstat_req = sliver_pb2.NetstatReq()\n netstat_req.ParseFromString(request_data)\n\n session_id = netstat_req.Request.SessionID\n\n netstat_handler = sliver_pb2.Netstat()\n netstat_handler.ParseFromString(command_data)\n\n entries = netstat_handler.Entries\n \n with open(self.output_file, 'a') as netstat_output:\n netstat_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\\n\")\n\n for entry in entries:\n netstat_output.write(f\"\\tLocal Addr: {entry.LocalAddr.Ip}\")\n netstat_output.write(f\"\\tRemote Addr: {entry.RemoteAddr.Ip}\")\n netstat_output.write(f\"\\tState: {entry.SkState}\")\n netstat_output.write(f\"\\tProcess: {entry.Process.Executable} {entry.Process.Pid}\")\n netstat_output.write(f\"\\tProtocol: {entry.Protocol}\\n\")\n\n elif command == \"MsgNamedPipesReq\":\n pipe_req = sliver_pb2.NamedPipesReq()\n pipe_req.ParseFromString(request_data)\n\n session_id = pipe_req.Request.SessionID\n\n pipename = pipe_req.PipeName\n\n with open(self.output_file, 'a') as pipe_output:\n pipe_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n pipe_output.write(f\"\\n\\tCreated named pipe: {pipename}\\n\")\n\n elif command == \"MsgTCPPivotReq\":\n pivot_req = sliver_pb2.TCPPivotReq()\n pivot_req.ParseFromString(request_data)\n\n session_id = pivot_req.Request.SessionID\n\n address = pivot_req.Address\n\n pivot_resp = sliver_pb2.TCPPivot()\n pivot_resp.ParseFromString(command_data)\n\n pivot_success = pivot_resp.Success\n\n with open(self.output_file, 'a') as pivot_output:\n pivot_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n if pivot_success:\n pivot_output.write(f\"\\n\\tSuccessfully added pivot: {address}\\n\")\n else:\n pivot_output.write(f\"\\n\\tFailed to add pivot: {address}\\n\")\n pivot_output.write(f\"\\tResponse: {pivot_resp.Response}\")\n\n elif command == \"MsgPivotListReq\":\n list_req = sliver_pb2.PivotListReq()\n list_req.ParseFromString(request_data)\n\n session_id = list_req.Request.SessionID\n\n list_resp = sliver_pb2.PivotList()\n list_resp.ParseFromString(command_data)\n\n pivots = list_resp.Entries\n\n with open(self.output_file, 'a') as list_output:\n list_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n\n for pivot in pivots:\n list_output.write(f\"\\n\\tPivot type: {pivot.Type}\\t{pivot.Remote}\\n\")\n\n elif command == \"MsgPivotOpen\":\n pivot_req = sliver_pb2.PivotOpen()\n pivot_req.ParseFromString(request_data)\n \n pivot_id = pivot_req.PivotID\n pivot_type = pivot_req.PivotType\n pivot_addr = pivot_req.RemoteAddress\n pivot_register = pivot_req.RegisterMsg\n \n try:\n envelope = sliver_pb2.Envelope()\n envelope.ParseFromString(pivot_register)\n except DecodeError:\n return\n\n msg_data = envelope.Data\n\n with open(self.output_file, 'a') as pivot_output:\n pivot_output.write(f\"\\n{request_time}\\tPIVOT OPEN ID: {pivot_id}\\t Type: {pivot_type}\\t Address: {pivot_addr}\\n\\n\")\n \n self.sliver_register(register_proto=msg_data, utc_ts=request_time)\n\n elif command == \"MsgPivotClose\":\n pass\n\n elif command == \"MsgPivotData\":\n pass\n\n elif command == \"MsgStartServiceReq\":\n start_service_req = sliver_pb2.StartServiceReq()\n start_service_req.ParseFromString(request_data)\n\n session_id = start_service_req.Request.SessionID\n\n servicename = start_service_req.ServiceName\n service_description = start_service_req.ServiceDescription\n binpath = start_service_req.BinPath\n hostname = start_service_req.Hostname\n\n with open(self.output_file, 'a') as service_output:\n service_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n service_output.write(f\"\\n\\tStarted service:\\n\\t\\tService name: {servicename}\\n\")\n service_output.write(f\"\\t\\tDescription: {service_description}\\n\")\n service_output.write(f\"\\t\\tBinary path: {binpath}\\n\")\n service_output.write(f\"\\t\\tHostname: {hostname}\\n\")\n\n elif command == \"MsgStopServiceReq\":\n pass\n\n elif command == \"MsgRemoveServiceReq\":\n remove_service_req = sliver_pb2.RemoveServiceReq()\n remove_service_req.ParseFromString(request_data)\n\n session_id = remove_service_req.Request.SessionID\n \n servicename = remove_service_req.ServiceInfo.ServiceName\n hostname = remove_service_req.ServiceInfo.Hostname\n\n with open(self.output_file, 'a') as service_output:\n service_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n service_output.write(f\"\\n\\tRemoved service:\\n\\t\\tService name: {servicename}\\n\\t\\tHostname: {hostname}\\n\")\n\n elif command == \"MsgMakeTokenReq\":\n make_token_handler_req = sliver_pb2.MakeTokenReq()\n make_token_handler_req.ParseFromString(request_data)\n\n session_id = make_token_handler_req.Request.SessionID\n \n user_domain = make_token_handler_req.Domain\n user = make_token_handler_req.Username\n password = make_token_handler_req.Password\n \n make_token_handler_resp = sliver_pb2.MakeToken()\n make_token_handler_resp.ParseFromString(command_data)\n\n response = str(make_token_handler_resp.Response)\n \n with open(self.output_file, 'a') as make_token_output:\n make_token_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n if response:\n make_token_output.write(f\"\\n\\tFailed to create token:\\n\\t\\tUser: {user_domain}\\{user} Password: {password}\\n\")\n else:\n make_token_output.write(f\"\\n\\tSuccessfully created token:\\n\\t\\tUser: {user_domain}\\{user}\\n\\t\\tPassword: {password}\\n\")\n\n elif command == \"MsgMakeToken\":\n token_req = sliver_pb2.MakeTokenReq()\n token_req.ParseFromString(request_data)\n\n session_id = token_req.Request.SessionID\n\n domain = token_req.Domain\n user = token_req.User\n password = token_req.Password\n\n token_resp = sliver_pb2.MakeToken()\n token_resp.ParseFromString(command_data)\n\n response = token_resp.Response()\n\n with open(self.output_file, 'a') as make_token_output:\n make_token_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n if len(str(response)):\n make_token_output.write(f\"\\n\\tFailed to create token:\\n\\t\\tUser: {domain}\\{user} Password: {password}\\n\")\n else:\n make_token_output.write(f\"\\n\\tSuccessfully created token:\\n\\t\\tUser: {domain}\\{user}\\n\\t\\tPassword: {password}\\n\")\n\n elif command == \"MsgEnvReq\":\n env_req = sliver_pb2.EnvReq()\n env_req.ParseFromString(request_data)\n\n session_id = env_req.Request.SessionID\n\n env_resp = sliver_pb2.EnvInfo()\n env_resp.ParseFromString(command_data)\n\n variables = env_resp.Variables\n\n with open(self.output_file, 'a') as env_output:\n env_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\\n\")\n\n if len(str(env_resp)) > 0:\n for env_var in variables:\n env_output.write(f\"\\t{env_var.Key}={env_var.Value}\\n\")\n\n elif command == \"MsgSetEnvReq\":\n env_req = sliver_pb2.SetEnvReq()\n env_req.ParseFromString(request_data)\n\n session_id = env_req.Request.SessionID\n\n env_key = env_req.Variable.Key\n env_value = env_req.Variable.Value\n\n with open(self.output_file, 'a') as env_output:\n env_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n env_output.write(f\"\\n\\tSet environment variable: {env_key}={env_value}\\n\")\n\n elif command == \"MsgExecuteTokenReq\":\n exec_token_req = sliver_pb2.ExecuteTokenReq()\n exec_token_req.ParseFromString(request_data)\n\n session_id = exec_token_req.Request.SessionID\n\n path = exec_token_req.Path\n args = exec_token_req.Args\n\n with open(self.output_file, 'a') as exec_token_output:\n exec_token_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n \n if len(args) > 0:\n exec_token_req.write(f\"\\n\\Execute token: {path} {' '.join([arg for arg in args])}\")\n else:\n exec_token_output.write(f\"\\n\\tExecute token: {path}\\n\")\n\n elif command == \"MsgRegistryReadReq\":\n registry_read_req = sliver_pb2.RegistryReadReq()\n registry_read_req.ParseFromString(request_data)\n\n session_id = registry_read_req.Request.SessionID\n\n reg_hive = registry_read_req.Hive\n reg_path = registry_read_req.Path\n reg_key = registry_read_req.Key\n\n registry_read_handler = sliver_pb2.RegistryRead()\n registry_read_handler.ParseFromString(command_data)\n\n response = str(registry_read_handler.Response)\n\n with open(self.output_file, 'a') as reg_output:\n reg_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n reg_output.write(f\"\\n\\tRegistry read: {reg_hive}\\\\{reg_path}\\\\{reg_key}\\n\")\n\n if len(response) == 0:\n reg_data = registry_read_handler.Value\n reg_output.write(f\"\\n\\tData: {reg_data}\\n\")\n\n else:\n reg_output.write(f\"\\n\\t{response}\\n\")\n\n elif command == \"MsgRegistryWriteReq\":\n registry_write_req = sliver_pb2.RegistryWriteReq()\n registry_write_req.ParseFromString(request_data)\n\n session_id = registry_write_req.Request.SessionID\n\n reg_hive = registry_write_req.Hive\n reg_path = registry_write_req.Path\n reg_key = registry_write_req.Key\n\n registry_write_handler = sliver_pb2.RegistryWrite()\n registry_write_handler.ParseFromString(command_data)\n\n response = str(registry_write_handler.Response)\n\n with open(self.output_file, 'a') as reg_output:\n reg_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n reg_output.write(f\"\\n\\tRegistry write: {reg_hive}\\\\{reg_path}\\\\{reg_key}\\n\")\n\n if len(response) == 0:\n\n if str(registry_write_req.Type) == \"STRING\":\n reg_data = str(registry_write_req.StringValue)\n reg_output.write(f\"\\n\\tData: {reg_data}\")\n\n else:\n reg_data = registry_write_req.ByteValue\n reg_data_md5 = hashlib.md5(reg_data).digest()\n screenshot_file = f\"{self.dump_dir}/{self.sliver_session}_{command}_{reg_data_md5.hex()}.bin\"\n\n with open(screenshot_file, 'wb') as dump_file:\n dump_file.write(reg_data)\n \n reg_output.write(f\"\\tData written to: {screenshot_file}\\n\")\n\n else:\n reg_output.write(f\"\\n\\t{response}\\n\")\n\n elif command == \"MsgRegistryCreateKeyReq\":\n registry_create_req = sliver_pb2.RegistryCreateKeyReq()\n registry_create_req.ParseFromString(request_data)\n\n session_id = registry_create_req.Request.SessionID\n\n reg_hive = registry_create_req.Hive\n reg_path = registry_create_req.Path\n reg_key = registry_create_req.Key\n\n registry_create_handler = sliver_pb2.RegistryCreateKey()\n registry_create_handler.ParseFromString(command_data)\n\n response = str(registry_create_handler.Response)\n\n with open(self.output_file, 'a') as reg_output:\n reg_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n reg_output.write(f\"\\n\\tRegistry create: {reg_hive}\\\\{reg_path}\\\\{reg_key}\\n\")\n\n if len(response) > 0:\n reg_output.write(f\"\\t{response}\\n\")\n\n elif command == \"MsgWGStartPortFwdReq\":\n wg_startfwd_req = sliver_pb2.WGPortForwardStartReq()\n wg_startfwd_req.ParseFromString(request_data)\n\n session_id = wg_startfwd_req.Request.SessionID\n\n wg_startfwd_resp = sliver_pb2.WGSocksStartReq()\n wg_startfwd_resp.ParseFromString(command_data)\n\n response = str(wg_startfwd_resp.Response)\n\n with open(self.output_file, 'a') as wg_output:\n wg_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n if len(response) > 0:\n wg_output.write(f\"\\n\\t{response}\\n\")\n else:\n wg_output.write(f\"\\n\\tStarted WG Listener at: {wg_startfwd_req.RemoteAddress}:{wg_startfwd_req.LocalPort}\\n\")\n\n elif command == \"MsgWGStopPortFwdReq\":\n wg_stopfwd_req = sliver_pb2.WGPortForwardStopReq()\n wg_stopfwd_req.ParseFromString(request_data)\n\n session_id = wg_stopfwd_req.Request.SessionID\n\n wg_id = wg_stopfwd_req.ID\n\n with open(self.output_file, 'a') as wg_output:\n wg_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n wg_output.write(f\"\\n\\tStopped WG listener: {wg_id}\\n\")\n\n elif command == \"MsgWGStartSocksReq\":\n socks_start_req = sliver_pb2.WGSocksStartReq()\n socks_start_req.ParseFromString(request_data)\n\n session_id = socks_start_req.Request.SessionID\n\n port = socks_start_req.Port\n\n with open(self.output_file, 'a') as socks_output:\n socks_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n socks_output.write(f\"\\n\\tStarted SOCKS listener: {port}\\n\")\n\n elif command == \"MsgWGStopSocksReq\":\n socks_stop_req = sliver_pb2.WGSocksStopReq()\n socks_stop_req.ParseFromString(request_data)\n\n session_id = socks_stop_req.Request.SessionID\n\n socks_id = socks_stop_req.ID\n\n with open(self.output_file, 'a') as socks_output:\n socks_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n socks_output.write(f\"\\n\\tStopped SOCKS listener: {socks_id}\\n\")\n\n elif command == \"MsgWGListForwardersReq\":\n pass\n\n elif command == \"MsgWGListSocksReq\":\n pass\n \n elif command == \"MsgPortfwdReq\":\n portfwd_req = sliver_pb2.PortfwdReq()\n portfwd_req.ParseFromString(request_data)\n\n session_id = portfwd_req.Request.SessionID\n\n tunnel_id = portfwd_req.TunnelID\n host = portfwd_req.Host\n port = portfwd_req.Port\n proto = portfwd_req.Protocol\n\n with open(self.output_file, 'a') as portfwd_output:\n portfwd_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n portfwd_output.write(f\"\\n\\tStarted port forward:\\n\")\n portfwd_output.write(f\"\\t\\tID: {tunnel_id}\\t{host}:{port}\\t{proto}\\n\")\n \n elif command == \"MsgReconnectIntervalReq\":\n interval_req = sliver_pb2.ReconnectIntervalReq()\n interval_req.ParseFromString(request_data)\n\n session_id = interval_req.Request.SessionID\n\n interval = interval_req.ReconnectIntervalSeconds\n\n with open(self.output_file, 'a') as interval_output:\n interval_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n interval_output.write(f\"\\n\\tInterval updated to: {interval} seconds\\n\")\n\n elif command == \"MsgReconnectInterval\":\n pass\n \n elif command == \"MsgPollIntervalReq\":\n poll_req = sliver_pb2.ReconnectIntervalReq()\n poll_req.ParseFromString(request_data)\n\n session_id = poll_req.Request.SessionID\n\n poll_interval = poll_req.PollIntervalSeconds\n\n with open(self.output_file, 'a') as interval_output:\n interval_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n interval_output.write(f\"\\tInterval polled to update to: {poll_interval} seconds\\n\")\n \n elif command == \"MsgUnsetEnvReq\":\n env_req = sliver_pb2.UnsetEnvReq()\n env_req.ParseFromString(request_data)\n\n session_id = env_req.Request.SessionID\n\n env_name = env_req.Name\n\n with open(self.output_file, 'a') as env_output:\n env_output.write(f\"\\n{request_time}\\tSESSIONID: {session_id}\\t TASK ID: {task_id}\\t TASK: {command}\\n\")\n env_output.write(f\"\\tUnset environment var: {env_name}\\n\")","def read_tweets(filename: TextIO) -> Dict[str, List[tuple]]:\n \n #file_tweet = open(filename, 'r')\n \n tweet_dict = {} \n list_tuple = []\n tuple_tweet = ()\n text_tweet = ''\n \n for lines in filename.readline(): \n line = lines.strip()\n if '<<<EOT' not in line:\n if line != '\\n' and line.endswith(':'):\n username = line[0:line.find(':')].lower()\n elif line[0:14].isnumeric(): \n source = line.split(',')\n date = int(source[FILE_DATE_INDEX])\n source = source[FILE_SOURCE_INDEX]\n favourite_count = int(source[FILE_FAVOURITE_INDEX])\n retweet = int(source[FILE_RETWEET_INDEX])\n else: \n text_tweet += line \n else:\n tuple_tweet = (text_tweet, date, source,\n favourite_count, retweet)\n list_tuple = list_tuple + [tuple_tweet]\n tweet_dict[username] = list_tuple\n text_tweet = ''\n \n return tweet_dict","def parseIdStatus(fname):\n res = {}\n if not os.path.isfile(fname):\n logging.info('%s does not exist' % fname)\n res['OK'] = []\n return res\n for line in open(fname):\n pmid, status = line.strip().split()[:2]\n status = status.split('\\\\')[0]\n status = status.strip('\"')\n status = status.strip(\"'\")\n res.setdefault(status, [])\n pmid = int(pmid)\n res[status].append(pmid)\n\n return res","def read_file(file_path):\n\n output_dict = dict()\n try:\n if os.path.exists(file_path):\n with open(file_path) as fd:\n output = fd.readlines()\n for idx in range(len(output)):\n key_info = output[idx].split('=')[0].strip()\n value_info = output[idx].split('=')[1].strip()\n output_dict[key_info] = value_info\n return output_dict\n except Exception as e:\n SysTools.logger.warning(\"Read file:%s failed, reason:%s\" % (file_path, str(e)))","def cli(context, repeats_file):\n\n repeat_information = {}\n with open(repeats_file, 'r') as file_handle:\n repeat_information = parse_repeat_file(file_handle, repeats_file_type='json')\n\n if not repeat_information:\n LOG.warning(\"Could not find any repeat info\")\n context.abort()\n\n header = [\"HGNCId\", \"LocusId\", \"DisplayRU\", \"InheritanceMode\", \"normal_max\", \"pathologic_min\", \"Disease\", \"SourceDisplay\", \"SourceId\"]\n table_line = \"| {0} | {1} | {2} | {3} | {4} | {5} | {6} | {7} | {8} |\"\n click.echo(table_line.format(\n header[0], header[1], header[2], header[3], header[4], header[5], header[6], header[7], header[8]\n ))\n click.echo(table_line.format('-------', '-------', '-------', '-------', '-------',\n '-------', '-------', '-------', '-------' ))\n for entry in repeat_information:\n click.echo(table_line.format(\n repeat_information[entry][header[0]],\n entry,\n repeat_information[entry][header[2]],\n repeat_information[entry][header[3]],\n repeat_information[entry][header[4]],\n repeat_information[entry][header[5]],\n repeat_information[entry][header[6]],\n repeat_information[entry][header[7]],\n repeat_information[entry][header[8]],\n ))","def parse_test_interactions(test_file):\n has_action = re.compile(r\"^\\#\\$\\s(input|output|verify)\\=(.+$)\")\n interactions = {}\n with open(test_file, 'r') as file:\n for line_no, line in enumerate(file.readlines(), start=1):\n check_line = has_action.match(line)\n if check_line:\n # interaction key should be the line after the marker\n # so add 1 to the current line number\n interactions[(line_no + 1)] = {\"action\": check_line.group(1),\n \"value\": check_line.group(2)}\n else:\n if line.startswith(\"#$\"):\n exc_msg = [\n \"Improper interaction syntax on\",\n f\"line {line_no} in '{test_file}'\",\n ]\n raise SyntaxWarning(\" \".join(exc_msg))\n #print(interactions)\n return interactions","def read_GO_TPM_file(self, *GO_TPM_file):\n\n dictionary = {}\n for i in GO_TPM_file:\n with open(i, 'r') as f:\n f = f.readlines()[1:]\n f = map(lambda x: x.strip(), f)\n if '_GO.txt' in i:\n dictionary['GO'] = f\n else:\n dictionary['TPM'] = f\n return(dictionary['GO'], dictionary['TPM'])","def read_participant_run(file, task=2, subset=None):\n annotation_dict = defaultdict(lambda: defaultdict(list))\n\n with open(file, 'r') as f:\n for row in f:\n row_unrolled = row[:-1].split(';')\n image_id = row_unrolled[0]\n if subset and image_id not in subset:\n continue\n predictions = row_unrolled[1:]\n\n for prediction in predictions:\n if prediction[-1] == ' ':\n prediction = prediction[:-1]\n\n substrate, polygons = prediction.split(' ')\n for polygon in polygons.split(','):\n confidence, values = polygon.split(':')\n if task == 1:\n width_height, x_min, y_min = values.split('+')\n if not width_height or not x_min or not y_min:\n print(\"Couldnt find\")\n print(f\"{image_id}, {file}\")\n continue\n width, height = width_height.split('x')\n width, height = int(width), int(height)\n x_min, y_min = int(x_min), int(y_min)\n x_max = x_min + width\n y_max = y_min + height\n\n processed_polygon = [(x_min, y_min), (x_min, y_max),\n (x_max, y_max), (x_max, y_min)]\n elif task == 2:\n values_list = values.split('+')\n processed_polygon = [\n (int(x), int(y))\n for x, y in zip(values_list[::2], values_list[1::2])\n ]\n\n annotation_dict[image_id][substrate] += [processed_polygon]\n\n return annotation_dict","def get_prompt(self, timeout=30):\n #self.tc.expect(self.tool_prompt, timeout=timeout)\n #self.tf = self.tc.after.split()\n #return {'status': int(self.tf[self.tool_status_index]), 'output': self.tc.before}\n output = \"\"\n # Loop until we receive the special spt prompt while in pipe mode.\n while True:\n line = self.tc.stdout.readline()\n if re.search(self.tool_prompt, line):\n self.tf = line.split()\n break\n elif not len(line):\n # We've reached EOF or spt exited abnormally, usually a core dump!\n raise RuntimeError\n else:\n output += line\n #if self._debug:\n # print('Response: {0}'.format(self.tf))\n # print('Output: {0}'.format(output), end=None)\n #import pdb; pdb.set_trace()\n return {'status': int(self.tf[self.tool_status_index]), 'output': output}","def parse_scp_file(scp_fname) -> Dict[str, List[Tuple[str, str]]]:\n scp_dict = OrderedDict()\n with open(scp_fname, \"r\", encoding=\"utf-8\") as f:\n for line in f:\n uttid, path, loc = parse_scp_line(line)\n if path not in scp_dict:\n scp_dict[path] = []\n scp_dict[path].append((uttid, loc))\n\n return scp_dict","def read_corr(file):\n corrTable = open(file, 'r').read()\n corrTable = corrTable.split('\\n')\n for i in range(4):\n corrTable[i] = corrTable[i].split(':')\n corrTable[i][1] = corrTable[i][1].split(',')\n corr_dict = {}\n for i in range(4):\n corr_dict[corrTable[i][0]] = corrTable[i][1]\n return corr_dict","async def parse_files(file):\n data = yaml.full_load(file)\n try:\n new_data = {\n \"task_name\": data[\"metadata\"][\"name\"],\n \"task_type\": data[\"kind\"],\n \"scheduled_at\": data[\"spec\"].get(\"schedule\"),\n }\n\n except KeyError as e:\n raise KeyError(f\"Invalid yaml file uploded \\n {e}\")\n model = TaskModel(**new_data)\n return model","def readApplication(self, inputFile = 'inputPS7.txt', promptsFile = 'promptsPS7.txt'):\n inputFileContent = self.getFileContent(inputFile, 'r')\n promptsFileContent = self.getFileContent(promptsFile, 'r')\n self.processInputData(inputFileContent)\n self.clearOutputAndAnalysisFile()\n self.processPromptsData(promptsFileContent)","def get_file_metadata(file, wordlist=None, dictionary=None):\n if wordlist == None:\n wordlist = joblib.load('wordlist.pkl')\n if dictionary == None:\n dictionary = joblib.load('dict.pkl')\n utterance = file.split('/')[-1]\n speaker = utterance.split('_')[0]\n delimiter = '_'\n word = wordlist[delimiter.join((utterance.split('_')[1], utterance.split('_')[2]))]\n phones = dictionary[word.upper()]\n return {'speaker': speaker, 'word': word, 'phones': phones, 'utterance': utterance[:-4]}","def read_data(filename, prefix=None):\n p_data = {}\n with open(filename) as f:\n # This first line is the header for the entire file.\n line = f.next()\n line = line.strip()\n # prev_line = line\n top_header = line.split(',')\n if not top_header:\n # Don't parse this for now.\n pass\n # Now read in per-participant data.\n while True:\n word_list = []\n all_words_data = {}\n # The first line for the participant is a header.\n try:\n line = f.next()\n except StopIteration:\n # We had previously read everything, so we're done.\n break\n line = line.strip()\n p_header = line.split(',')\n\n # The participant's ID # comes first.\n p_id = p_header[0]\n if not p_id:\n # This happens when the previous participant didn't answer.\n \"\"\"\n print 'previous line:', prev_line\n print 'current line:', line\n print 'p header:', p_header\n print\n \"\"\"\n continue\n if prefix:\n p_id = prefix + p_id\n # print 'SN #', p_id\n # The number of N/A's this p is at 28.\n try:\n p_nas = int(p_header[28])\n except ValueError:\n # This happens when an RA messes up the file.\n \"\"\"\n print 'nas: previous line:', prev_line\n print 'nas: current line:', line\n print 'nas: p header:', p_header\n print\n \"\"\"\n raise\n # print \"NA's: #\", p_nas\n # Check if this participant left everything blank.\n # XXX: Have to hard-code this.\n if p_nas == 20:\n \"\"\"Don't record anything.\n p_data[p_id] = {'words': None,\n 'word_data': None,\n 'nas': None,\n 'overall': None}\n \"\"\"\n continue\n # The next line after the header has both the data\n # for the first word and overall statistics.\n # prev_line = line\n try:\n line = f.next()\n except StopIteration:\n # We had previously read everything, so we're done.\n break\n line = line.strip()\n word, word_data, overall_data = parse_first_line(line.split(','))\n word_list.append(word)\n all_words_data[word] = word_data\n # Now read data for the rest of the words.\n for line in f:\n line = line.strip()\n word, word_data = parse_data_lines(line.split(','))\n if word == '':\n \"\"\"\n print \"loop's previous line:\", prev_line\n print \"loop's current line:\", line\n print\n \"\"\"\n # prev_line = line\n break\n word_list.append(word)\n all_words_data[word] = word_data\n # prev_line = line\n # Compute per-word averages\n all_total_avg, future_total_avg, past_total_avg = \\\n datacomputer.compute_all_future_past(all_words_data)\n overall_data['all'] = all_total_avg\n overall_data['future'] = future_total_avg\n overall_data['past'] = past_total_avg\n p_data[p_id] = {'words': word_list,\n 'word_data': all_words_data,\n 'nas': p_nas,\n 'overall': overall_data}\n # print 'p_data'\n # print p_data[p_id]\n # print\n print \"Processed {} participants' data\".format(len(p_data))\n return p_data","def get_commands_to_integration(self, file_name, file_path):\n commands_to_integration = {}\n for playbook_dict in self.playbook_set:\n playbook_name = list(playbook_dict.keys())[0]\n playbook_path = playbook_dict[playbook_name].get(\"file_path\")\n is_this_the_playbook = playbook_name == file_name and file_path == playbook_path\n if is_this_the_playbook:\n playbook_data = playbook_dict[playbook_name]\n commands_to_integration = playbook_data.get(\"command_to_integration\", {})\n return commands_to_integration\n return commands_to_integration","def _split_raw_file(raw_file: str) -> dict:\r\n input_file = raw_file.split(\"\\n\")\r\n\r\n line_count = 0\r\n statements = {}\r\n while line_count < len(input_file):\r\n line = input_file[line_count]\r\n if len(line) == 0:\r\n line_count += 1\r\n continue\r\n else:\r\n key = line\r\n value = input_file[line_count + 1]\r\n statements.update({key: value})\r\n line_count += 2\r\n return statements","def read_env_file(path: str) -> dict: \n with open(path, 'r') as f:\n return dict(tuple(line.replace('\\n', '').split('=',1)) for line\n in f.readlines() if not line.startswith('#'))","def process_file(path):\r\n\ttokenset = {}\r\n\r\n\tfp = open(path, 'r')\r\n\temailMsg = email.message_from_file(fp)\r\n\tfp.close()\r\n\r\n\ttokenset = parse_body(emailMsg.get_payload().lower())\r\n\r\n\treturn tokenset","def return_fasta_dic(file):\n seq_dict = {rec.id: rec.seq for rec in SeqIO.parse(file, \"fasta\")}\n return seq_dict","def read_dictionary():\n\tglobal dictionary\n\twith open(FILE, \"r\") as f:\n\t\tfor words in f:\n\t\t\tdictionary += words.split()","def load_prompt(name, prompt='', rstrip=True, verbose=True, **format_kwargs):\n dir_ = Path(f'data/prompts/{name}')\n prompt_fmt = load(dir_/'prompt.txt')\n kwargs = load_yaml(dir_/'config.yaml')\n # If no prompt is passed in, we load the template and store it for later.\n if prompt:\n formatter = TASK2FORMATTER.get(name)\n if formatter:\n prompt = formatter(prompt_fmt, prompt, **format_kwargs)\n else:\n prompt = prompt_fmt.format(prompt)\n else:\n prompt = prompt_fmt\n\n # Vim adds trailing newline, which can hurt gpt3 quality.\n if rstrip: prompt = prompt.rstrip()\n\n # Pyyaml seems to escape newlines (probably other special characters too\n # but this is the only one I've used here, I think. Newline chars can be\n # useful in stop terms because I often use them to distinguish between\n # different examples in a prompt.\n if 'stop' in kwargs:\n kwargs['stop'] = [x.replace('\\\\n', '\\n') for x in kwargs['stop']]\n kwargs['prompt'] = prompt\n msg = kwargs.pop('reminder', None)\n if msg and verbose: print(f'{name}: {msg}{spacer()}')\n return kwargs","def auto_detect_pairs(files, prompt):\n\n # \"intelligently\" find paired files and tuple them\n paired_files = []\n single_files = set(files)\n\n for filename in files:\n # convert \"read 1\" filenames into \"read 2\" and check that they exist; if they do\n # upload the files as a pair, autointerleaving them\n paired_filename = re.sub(r\"([._][Rr])1([._][\\w.]+)$\", r\"\\g<1>2\\g<2>\", filename)\n paired_filename = re.sub(r\"([._])1([._][\\D._]+)$\", r\"\\g<1>2\\g<2>\", paired_filename)\n\n # we don't necessary need the R2 to have been passed in; we infer it anyways\n if paired_filename != filename and os.path.exists(paired_filename):\n if not prompt and paired_filename not in single_files:\n # if we're not prompting, don't automatically pull in files\n # not in the list the user passed in\n continue\n\n paired_files.append((filename, paired_filename))\n\n if paired_filename in single_files:\n single_files.remove(paired_filename)\n\n single_files.remove(filename)\n\n auto_pair = True\n\n if prompt and len(paired_files) > 0:\n pair_list = \"\"\n for p in paired_files:\n pair_list += \"\\n {} & {}\".format(os.path.basename(p[0]), os.path.basename(p[1]))\n\n answer = click.confirm(\n \"It appears there are {n_paired_files} paired files (of {n_files} total):{pair_list}\\nInterleave them after upload?\".format(\n n_paired_files=len(paired_files) * 2,\n n_files=len(paired_files) * 2 + len(single_files),\n pair_list=pair_list,\n ),\n default=\"Y\",\n )\n\n if not answer:\n auto_pair = False\n\n if auto_pair:\n return paired_files + list(single_files)\n else:\n return files","def load_customs_declarations():\n data = None\n with open(\"customs-responses.txt\") as f:\n data = f.read()\n return data","def parse(filename):\n with open(filename) as file:\n contents = file.read()\n lines = contents.split(\"\\n\") # Python reads all endings by default as \\n\n res = {}\n for line in lines:\n if line.startswith(\"#\") or line == \"\":\n continue\n x = line.split(\":\")\n if x[1] != '':\n res[int(x[0])] = x[1]\n return res","def user_defined_descriptions(path):\n try:\n lines = [line.rstrip() for line in open(path).readlines()]\n return dict([x.split(maxsplit=1) for x in lines])\n except FileNotFoundError:\n return dict()","def get_data_for_task_manager(data: dict) -> dict:\n if check_host(data['hostIp']):\n command = f\"ssh user@{data['hostIp']} -i ../id_rsa 'C:\\Setup\\{data['scriptName']}'\"\n dict_from_device = check_response_from_device(start_process_on_device(command))\n if dict_from_device[\"stringFromDevice\"] == \"correct\": \n dict_from_device[\"resultRequest\"] = True\n return dict_from_device\n return dict(resultRequest=False)","def get_tasks(self) -> Dict[str, Any]:\n\n ret = {}\n for k, id in self.required_tasks.items():\n ret[k] = self.storage_socket.get_procedures(id=id)[\"data\"][0]\n\n return ret","def load_tasks(self):\n\n def _load_tasks(filename):\n filename = os.path.join(self.config['data']['location'], filename)\n filename = os.path.expanduser(filename)\n with open(filename, 'r') as f:\n lines = f.readlines()\n\n return list(map(taskw.utils.decode_task, lines))\n\n return dict(\n (db, _load_tasks('%s.data' % db))\n for db in ['completed', 'pending']\n )","def _read_conll(cls, input_file):\n #def read_conll(input_file):\n sents = []\n sent, labels = [], []\n for line in open(input_file):\n if line.startswith(\"# sent_id\"):\n current_id = line.strip().split(\" = \")[1]\n elif line.strip() == \"\":\n if len(sent) > 0:\n sents.append((current_id, sent, labels))\n sent, labels = [], []\n else:\n token, label = line.strip().split(\"\\t\")\n sent.append(token)\n labels.append(label)\n return sents","def _parse(file_contents):\n\n if file_contents is None or file_contents == '':\n return {}\n\n result = {}\n\n for line in file_contents.splitlines():\n # Full line comment\n if line[:1] == '#':\n continue\n\n parts = line.split('=', 1)\n\n # Not a full key-value pair.\n if len(parts) < 2:\n continue\n\n result[parts[0].strip()] = parts[1].strip()\n\n return result","def processfile(jobfile) :\n\n jobdict = {}\n\n f = open(jobfile) \n line = f.readline()\n\n\n while line !=\"\":\n #strip comments\n actual = line.split(\"#\")[0] \n if len(actual) != 0 :\n if \"=\" in actual:\n #print \"The string is \", actual\n readjob(actual, jobdict)\n\n line = f.readline()\n\n f.close()\n return jobdict","def _read_input(self, in_file):\n result = {}\n with open(in_file, \"r\") as f:\n reader = csv.DictReader(f, delimiter=str(\"\\t\"))\n for row in reader:\n result[row[\"accession\"]] = {\n \"transcript_sequence\": row[\"transcript_sequence\"],\n \"cds_start_i\": int(row[\"cds_start_i\"]),\n \"cds_end_i\": int(row[\"cds_end_i\"]),\n }\n\n return result","def ReadFromFile(self):\n\n data = \"\"\n try:\n with open(self.fileLoc, \"r\") as file:\n data += file.read()\n except IOError:\n with open(self.fileLoc, \"w\") as file:\n file.write(\" \")\n return {}\n \n if len(data) == 0:\n return {}\n\n data = self.Decrypt(data)\n\n data = \"\".join(data.split())\n kvstrings = data.split(\"%\")\n kvstrings = filter(None, kvstrings)\n\n pairs = {}\n for x in kvstrings:\n kv = x.split(\":\")\n pairs[kv[0]] = kv[1]\n\n return pairs","def get_keys(self, file_path=None):\n self.twitter_keys = dict()\n if file_path is None:\n file_path = 'twitterKeys.txt'\n try:\n with open(file_path, 'r') as f:\n for line in f:\n key, val = line.split(':')\n self.twitter_keys[key] = val[:-1]\n except OSError:\n raise OSError","def get_data(fname: str) -> dict:\n with open(fname) as f:\n return [rec.split() for rec in f.read().split(\"\\n\\n\")]","def get_keys_tasks(self):\n keys_task = []\n scanned_task = []\n\n with open(self.path_to_task_file, 'r') as file:\n for line in file:\n task = Task()\n task.load(line)\n keys_task.append(task.key)\n scanned_task.append(line)\n\n self.save_scanned_tasks(scanned_task) # return unsuccessful tasks in file\n return keys_task","def read(self):\n dictionary = {}\n with open(self.path) as file:\n key_header = \"\"\n for line in file:\n entry = line.strip().split()\n if len(entry) == 0:\n continue\n if len(entry) == 1:\n key_header = entry[0]+\"_\"\n else:\n key = entry[0].strip()\n value = reduce(lambda x1, y1: x1+\" \" + y1, entry[1:])\n dictionary[key_header+key] = value\n return dictionary","def _read_profile_file(cls, profile_file):\n qid2title: Dict[str, str] = {}\n qid2desc: Dict[str, str] = {}\n alias2qids: Dict[str, list] = {}\n type_systems: Dict[str, Dict[str, List[str]]] = {}\n qid2relations: Dict[str, Dict[str, List[str]]] = {}\n\n num_lines = sum(1 for _ in open(profile_file))\n with open(profile_file, \"r\") as in_f:\n for line in tqdm(in_f, total=num_lines, desc=\"Reading profile\"):\n line = ujson.loads(line)\n\n # Check keys and schema\n assert all(\n k in line.keys() for k in REQUIRED_KEYS\n ), f\"A key from {REQUIRED_KEYS} was not in {line}\"\n try:\n # Asserts the types are correct\n ent = EntityObj(\n entity_id=line[\"entity_id\"],\n mentions=line[\"mentions\"],\n title=line.get(\"title\", line[\"entity_id\"]),\n description=line.get(\"description\", \"\"),\n types=line.get(\"types\", {}),\n relations=line.get(\"relations\", []),\n )\n except ValidationError as e:\n print(e.json())\n raise e\n if ent.entity_id in qid2title:\n raise ValueError(f\"{ent.entity_id} is already in our dump\")\n qid2title[ent.entity_id] = ent.title\n qid2desc[ent.entity_id] = ent.description\n # For each [mention, score] value, create a value of mention -> [qid, score] in the alias2qid dict\n for men_pair in ent.mentions:\n # Lower case mentions for mention extraction\n new_men = get_lnrm(men_pair[0], strip=True, lower=True)\n if new_men not in alias2qids:\n alias2qids[new_men] = []\n alias2qids[new_men].append([ent.entity_id, men_pair[1]])\n # Add type systems of type_sys -> QID -> list of type names\n for type_sys in ent.types:\n if type_sys not in type_systems:\n type_systems[type_sys] = {}\n type_systems[type_sys][ent.entity_id] = ent.types[type_sys]\n # Add kg relations QID -> relation -> list of object QIDs\n for rel_pair in ent.relations:\n if \"relation\" not in rel_pair or \"object\" not in rel_pair:\n raise ValueError(\n \"For each value in relations, it must be a JSON with keys relation and object\"\n )\n if ent.entity_id not in qid2relations:\n qid2relations[ent.entity_id] = {}\n if rel_pair[\"relation\"] not in qid2relations[ent.entity_id]:\n qid2relations[ent.entity_id][rel_pair[\"relation\"]] = []\n qid2relations[ent.entity_id][rel_pair[\"relation\"]].append(\n rel_pair[\"object\"]\n )\n\n # Sort mentions based on score, highest first\n for al in list(alias2qids.keys()):\n alias2qids[al] = sorted(alias2qids[al], key=lambda x: x[1], reverse=True)\n # Add all qids to the type systems and KG connections with empty values\n # This isn't strictly required but can make the sets more clean as they'll have consistent keys\n for qid in qid2title:\n for type_sys in type_systems:\n if qid not in type_systems[type_sys]:\n type_systems[type_sys][qid] = []\n if qid not in qid2relations:\n qid2relations[qid] = {}\n return qid2title, qid2desc, alias2qids, type_systems, qid2relations","def parse(self, *_args, **_kwargs):\n cli_output = self._task_args.get(\"text\")\n res = self._check_reqs()\n if res.get(\"errors\"):\n return {\"errors\": res.get(\"errors\")}\n\n template_path = self._task_args.get(\"parser\").get(\"template_path\")\n if template_path and not os.path.isfile(template_path):\n return {\n \"error\": \"error while reading template_path file {file}\".format(\n file=template_path\n )\n }\n try:\n template = open(self._task_args.get(\"parser\").get(\"template_path\"))\n except IOError as exc:\n return {\"error\": to_native(exc)}\n\n re_table = textfsm.TextFSM(template)\n fsm_results = re_table.ParseText(cli_output)\n\n results = list()\n for item in fsm_results:\n results.append(dict(zip(re_table.header, item)))\n\n return {\"parsed\": results}","def readTemplate(self, file):\n templates = {}\n doc = ElementTree.parse(file)\n entries = doc.findall(\"entry\")\n for entry in entries:\n templates[entry.find(\"trigger\").text] = [entry.find(\"description\").text,\n entry.find(\"template\").text]\n self._convertTabs(templates)\n return templates","def getSHSCliques():\n m = getSHSIDDict()\n fin = open(\"SHSDataset/Chromas/shs_nodup.txt\")\n cliques = {}\n currClique = \"\"\n for l in fin.readlines():\n l = l.rstrip()\n if l[0] == '%':\n currClique = l[1::]\n cliques[currClique] = []\n else:\n cliques[currClique].append(m[l])\n fin.close()\n return cliques","def read_request(inFile):\n\treq = {}\n\twith open(inFile) as f:\n \t\tfor line in f:\n\t\t\tkv = line.split()\t\t\t\n \t\tk, v = kv[0], kv[1:]\n \t\t\treq[k] = v\n\treturn req","def read_lexicon():\n # path = 'mpqa_full.txt'\n\n path_list = ['mpqa_full.txt', 'sent_lexicon_14semeval_laptop.txt',\n 'sent_lexicon_15semeval_rest.txt',\n 'sent_lexicon_16semeval_rest.txt']\n sent_lexicon = {}\n for path in path_list:\n with open('work/lexicon/'+path) as fp:\n for line in fp:\n word, polarity = line.strip().split('\\t')\n if word not in sent_lexicon:\n sent_lexicon[word] = int(polarity)\n fp.close()\n\n return sent_lexicon","def get_account_info(full_path):\n to_phone_number = \"\"\n from_phone_number = \"\"\n account_sid = \"\"\n auth_token = \"\"\n\n print(\"\\nWelcome to tell-me-when! This appears to be the first time using this tool, or maybe you haven't successfully setup a default configuration yet.\\n\")\n print(\"In order to get started, you'll need to provide a valid twilio account SID and auth token as well as a default phone number to send alerts to.\\n\")\n print(\"After providing them, a JSON-configuration file will be saved in ~/.config/twm \\n\\nLet's get started:\\n\")\n\n prompt_account_sid = \"Enter your account SID, this can be found at https://twilio.com/console\"\n prompt_auth_token = \"Enter your auth token, this can be found at https://twilio.com/console\"\n prompt_from_phone_number = \"Enter the 10-digit internationally formatted phone number you created with twilio , Ex. For the United States: \"\"+1 123 456 7890\"\"\"\n prompt_to_phone_number = \"Enter the 10-digit internationally formatted phone number you wish to send alerts TO, Ex. For the United States: \"\"+1 123 456 7890\"\"\"\n\n print(prompt_account_sid)\n while not account_sid:\n account_sid = input()\n\n print(prompt_auth_token)\n while not auth_token:\n auth_token = input()\n\n print(prompt_from_phone_number)\n while not from_phone_number:\n from_phone_number = input()\n\n print(prompt_to_phone_number)\n while not to_phone_number:\n to_phone_number = input()\n\n while not is_valid_phone_number(from_phone_number):\n print(\"INPUT ERROR:Invalid Phone Number\")\n print(prompt_from_phone_number)\n from_phone_number = input()\n\n while not is_valid_phone_number(to_phone_number):\n print(\"INPUT ERROR:Invalid Phone Number\")\n print(prompt_to_phone_number)\n to_phone_number = input()\n\n account_dict = {'account_sid': account_sid,\n 'auth_token': auth_token,\n 'to_phone_number': to_phone_number,\n 'from_phone_number': from_phone_number}\n\n with open(full_path, 'w') as config_file:\n config_file.write(\"\")\n json.dump(account_dict, config_file)\n\n with open(full_path) as file:\n config = json.load(file)\n load_json_and_arguments(config)","def env(fd=sys.stdin):\n vars = {}\n while True:\n line = fd.readline().strip()\n if line == '':\n break\n key, data = (i.strip() for i in line.split(':'))\n if key != '':\n vars[key] = data\n \n return vars","def _build_participant_pairing_map(self, files: List[ConsentFile]) -> Dict[int, ParticipantPairingInfo]:\n participant_ids = {file.participant_id for file in files}\n participant_pairing_data = self.participant_dao.get_pairing_data_for_ids(participant_ids)\n return {\n participant_id: ParticipantPairingInfo(hpo_name=hpo_name, org_name=org_name, site_name=site_name)\n for participant_id, hpo_name, org_name, site_name in participant_pairing_data\n }","def workflow_direct_readme_dtool_task_spec(dtool_smb_config):\n return {\n 'dtool_config': dtool_smb_config,\n 'stored_data': True,\n 'uri': 'smb://test-share/1a1f9fad-8589-413e-9602-5bbd66bfe675',\n 'output': 'metadata',\n 'metadata_fw_source_key': 'metadata',\n 'fw_supersedes_dtool': True,\n 'metadata_dtool_exclusions': {'expiration_date': True},\n \"metadata_fw_exclusions\": {'description': True},\n 'loglevel': logging.DEBUG\n }","async def load(self, file: IO) -> dict:","def parse_qiime_config_file(qiime_config_file):\r\n result = {}\r\n for line in qiime_config_file:\r\n line = line.strip()\r\n # ignore blank lines or lines beginning with '#'\r\n if not line or line.startswith('#'):\r\n continue\r\n fields = line.split()\r\n param_id = fields[0]\r\n param_value = expandvars(' '.join(fields[1:])) or None\r\n result[param_id] = param_value\r\n return result","def read_stream(stream, prefix=None):\n f = stream.splitlines()\n p_data = {}\n # This first line is the header for the entire file.\n try:\n line = f.pop(0)\n except IndexError:\n print 'datareader.read_stream(): Empty file.'\n # XXX: Haven't decided how to handle all the potential errors.\n raise\n line = line.strip()\n # prev_line = line\n top_header = line.split(',')\n if not top_header:\n # Don't parse this for now.\n pass\n # Now read in per-participant data.\n while True:\n word_list = []\n all_words_data = {}\n # The first line for the participant is a header.\n try:\n line = f.pop(0)\n except IndexError:\n # We had previously read everything, so we're done.\n break\n line = line.strip()\n p_header = line.split(',')\n\n # The participant's ID # comes first.\n p_id = p_header[0]\n if not p_id:\n # This happens when the previous participant didn't answer.\n \"\"\"\n print 'previous line:', prev_line\n print 'current line:', line\n print 'p header:', p_header\n print\n \"\"\"\n continue\n if prefix:\n p_id = prefix + p_id\n # print 'SN #', p_id\n # The number of N/A's this p is at 28.\n try:\n p_nas = int(p_header[28])\n except ValueError:\n # This happens when an RA messes up the file.\n \"\"\"\n print 'nas: previous line:', prev_line\n print 'nas: current line:', line\n print 'nas: p header:', p_header\n print\n \"\"\"\n raise\n # print \"NA's: #\", p_nas\n # Check if this participant left everything blank.\n # XXX: Have to hard-code this.\n if p_nas == 20:\n p_data[p_id] = {'words': None,\n 'word_data': None,\n 'nas': None,\n 'overall': None}\n continue\n # The next line after the header has both the data\n # for the first word and overall statistics.\n # prev_line = line\n try:\n line = f.pop(0)\n except StopIteration:\n # We had previously read everything, so we're done.\n break\n line = line.strip()\n word, word_data, overall_data = parse_first_line(line.split(','))\n word_list.append(word)\n all_words_data[word] = word_data\n # Now read data for the rest of the words.\n for line in f:\n line = line.strip()\n word, word_data = parse_data_lines(line.split(','))\n if word == '':\n \"\"\"\n print \"loop's previous line:\", prev_line\n print \"loop's current line:\", line\n print\n \"\"\"\n # prev_line = line\n break\n word_list.append(word)\n all_words_data[word] = word_data\n # prev_line = line\n # Compute per-word averages\n all_total_avg, future_total_avg, past_total_avg = \\\n datacomputer.compute_all_future_past(all_words_data)\n overall_data['all'] = all_total_avg\n overall_data['future'] = future_total_avg\n overall_data['past'] = past_total_avg\n p_data[p_id] = {'words': word_list,\n 'word_data': all_words_data,\n 'nas': p_nas,\n 'overall': overall_data}\n # print 'p_data'\n # print p_data[p_id]\n # print\n print \"Processed {} participants' data\".format(len(p_data))\n return p_data","def get_completion_data_for_file(fn):\n app_to_translations = {}\n\n lang = get_language(fn)\n\n try:\n pofile = polib.pofile(fn)\n except IOError as ioe:\n print 'Error opening file: {fn}'.format(fn=fn)\n print ioe.message\n return 1\n\n for poentry in pofile:\n if poentry.obsolete:\n continue\n\n for occ in poentry.occurrences:\n path = occ[0].split(os.sep)\n if path[0] == 'kitsune':\n path = path[1]\n else:\n path = 'vendor/' + path[2]\n app_to_translations.setdefault(\n path, []).append(poentry.translated())\n\n all_total = 0\n all_translated = 0\n\n data = {}\n for app, tr_list in app_to_translations.items():\n total = len(tr_list)\n translated = len([tr for tr in tr_list if tr])\n\n data[app] = {\n 'total': total,\n 'translated': translated,\n }\n\n all_total += total\n all_translated += translated\n\n return {\n lang: {\n 'total': all_total,\n 'translated': all_translated,\n 'apps': data\n }\n }","def speech_response_prompt(output, reprompt_text, endsession):\n\n return {\n 'outputSpeech': {\n 'type': 'PlainText',\n 'text': output\n },\n 'reprompt': {\n 'outputSpeech': {\n 'type': 'PlainText',\n 'text': reprompt_text\n }\n },\n 'shouldEndSession': endsession\n }","def speech_response_prompt(output, reprompt_text, endsession):\n\n return {\n 'outputSpeech': {\n 'type': 'PlainText',\n 'text': output\n },\n 'reprompt': {\n 'outputSpeech': {\n 'type': 'PlainText',\n 'text': reprompt_text\n }\n },\n 'shouldEndSession': endsession\n }","def read_files_to_dict(dir_path):\n conversations = {}\n for filename in os.listdir(dir_path):\n if filename.endswith(\".txt\") and '-' not in filename:\n file_path = os.path.abspath(os.path.join(dir_path, filename))\n with open(file_path, 'r') as f:\n x = f.readlines()\n content_unicode = unicode(x[0], encoding='utf-8', errors='replace')\n if not filename in conversations:\n conversations[filename.split('.txt')[0]] = content_unicode\n return conversations","def getResponses(all_words_flag = False,\n\t\t\t\t data_folder = '/Participant_Data',\n\t\t\t\t filetype = '.csv'):\n\tparticipant_data = {}\n\tif all_words_flag:\n\t\tall_words = []\n\tfor file in glob.glob(os.getcwd() + data_folder + \"/*\" + filetype):\n\t\twith open(file, 'r') as f:\n\t\t\tcontents = csv.reader(f)\n\t\t\tparticipant_data[file] = list(contents)[0] # Set to only take the first column due to structure of my .csv files\n\t\t\tif all_words_flag:\n\t\t\t\tall_words = all_words + participant_data[file]\n\t# Other filetypes are easy to write. Use same general function, usually, and use f.readlines()\n\tif all_words_flag:\n\t\tall_words = list(set(all_words))\n\t\treturn participant_data, all_words\n\treturn participant_data","def parse_synset_mapping(\n synset_mapping_filename: Union[Path, str]\n) -> Tuple[List[str], Dict[str, str]]:\n synset_mapping = {}\n synsets = []\n with open(synset_mapping_filename, \"r\") as f:\n for line in f:\n synset, name = line.rstrip().split(' ', maxsplit=1)\n synsets.append(synset)\n synset_mapping[synset] = name\n return synsets, synset_mapping","def process_data (file):\n\n twitter_data = {}\n\n username = file.readline().strip()\n\n while username != '': # leave when all lines of the file have been read\n # initialize everything we need for entering data\n twitter_data [username] = {}\n twitter_data [username] ['bio'] = ''\n twitter_data [username] ['following'] = []\n\n twitter_data [username] ['name'] = file.readline().strip()\n twitter_data [username] ['location'] = file.readline().strip()\n twitter_data [username] ['web'] = file.readline().strip()\n\n bio = file.readline() # get the first line of the bio\n while bio.strip() != 'ENDBIO': # go until we get the line 'ENDBIO'\n twitter_data [username] ['bio'] += bio.strip() + '\\n'\n bio = file.readline()\n # we dont want the final '\\n' in the bio so we splice it\n twitter_data [username] ['bio'] = twitter_data [username] ['bio'] [:-1]\n\n following = file.readline() # get the first element for the list\n while following.strip() != 'END': # go until we get the line 'END'\n twitter_data [username] ['following'].append (following.strip())\n following = file.readline()\n\n username = file.readline().strip()\n return twitter_data","def read_label_file(file_path):\n with open(file_path, 'r', encoding='utf-8') as f:\n lines = f.readlines()\n ret = {}\n for row_number, content in enumerate(lines):\n pair = re.split(r'[:\\s]+', content.strip(), maxsplit=1)\n if len(pair) == 2 and pair[0].strip().isdigit():\n ret[int(pair[0])] = pair[1].strip()\n else:\n ret[row_number] = pair[0].strip()\n return ret","def get_messages(file: str, section: str = \"\") -> dict:\n if type(file) is not str:\n raise ValueError(\"file must be a string value\")\n if type(section) is not str:\n raise ValueError(\"section must be a string value\")\n else:\n return json.load(\n open(\"messages/{section}{file}.json\".format(section=section + \"/\", file=file), encoding=\"utf-8\"))","def get_aliases(txtfile='aliases.txt'):\n alias_dict = {}\n with open(txtfile) as f:\n next(f) # Skip header\n for line in f:\n names = line.strip().split(',')\n for name in names[1:]:\n # Aliases are defined in the text file as the second name onwards\n alias_dict[name.strip()] = names[0]\n return alias_dict","async def read_entities(self, file=\"entities.json\") -> dict:\n try:\n input = open(file, \"r\")\n entity_dict = json.load(input)\n input.close()\n except:\n # complain goes here as well\n print(\"Error: File does not exist! Skipping\")\n entity_dict = {}\n\n return entity_dict","def create_dict_from_file(filename):\n # Reads file\n f = open(filename, 'r')\n # Defines blank dictionary\n d = {}\n # Iterates for transaction id, line items and initializes counter (enumerate) function.\n for tids, line_items in enumerate(f):\n # Creates a dictionary with a key of d and a value of 'tids.'\n # Strips white space and splits strings into individual letters.\n d[tids+1] = [j.rstrip() for j in line_items.split(' ')\n if j != '\\n']\n # Defines blank dictionary 'p.'\n p = {}\n # Iterates for the key and value in dictionary d with key items.\n for key, value in d.items():\n # Iterates for item in value.\n for item in value:\n # Conditional logic: if item exists in the newly formed p dictionary, adds a new key to the dictionary.\n if item in p:\n p[item].add(key)\n # Else: If item does not exist, store a key.\n else:\n p[item] = {key}\n # Collections/ordered dict function specifies how to store items in output list.\n P = collections.OrderedDict(sorted(p.items(), key=lambda t: len(t[1])))\n return P","def read_dialog(file):\n with codecs.open(file, 'r', 'utf-8') as f:\n contents = [i.strip() for i in f.readlines() if len(i.strip()) != 0]\n return [json.loads(i) for i in contents]","def read(data=None):\n\n import subprocess\n\n # get live info\n if data is None:\n data = subprocess.check_output('squeue -o \"%all\"', shell=True).decode(\"utf-8\")\n\n # extract the header and the info\n head, data = data.split(\"\\n\", 1)\n data = list(filter(None, data.split(\"\\n\")))\n\n # get the field-names\n head = head.split(\"|\")\n\n # convert name (bug in slurm)\n # Bug #4948, https://bugs.schedmd.com\n idx = [i for i, key in enumerate(head) if key.strip() == \"USER\"]\n if len(idx) > 1:\n head[idx[1]] = \"USER_ID\"\n\n # convert to list of dictionaries\n # - initialize\n lines = []\n # - loop over lines\n for line in data:\n # -- initialize empty dictionary\n info = {}\n # -- fill dictionary\n for key, val in zip(head, line.split(\"|\")):\n if len(key.strip()) > 0:\n info[key.strip()] = val.strip()\n # -- store to list of lines\n lines += [info]\n\n # return output\n return lines","def process_data(file: TextIO) -> 'Climatematch':\n climate_dict = {}\n line = file.readline()\n \n while line != '':\n username = line.strip()\n climate_dict[username] = {}\n \n line = file.readline().strip()\n climate_dict[username]['name'] = line\n line = file.readline().strip()\n climate_dict[username]['location'] = line\n \n climate_dict[username]['bio'] = ''\n line = file.readline()\n while line != 'ENDBIO\\n': \n climate_dict[username]['bio'] += line\n line = file.readline()\n \n climate_dict[username]['skills'] = []\n line = file.readline().strip()\n while line != 'ENDSKILL': \n climate_dict[username]['skills'].append(line)\n line = file.readline().strip()\n \n climate_dict[username]['interest'] = []\n line = file.readline().strip() \n while line != 'END': \n climate_dict[username]['interest'].append(line)\n line = file.readline().strip()\n line = file.readline()\n \n return climate_dict","def _read_seeds():\n seed_map = {}\n with open(question_seeds) as f:\n for line in f:\n qId, seeds = line.strip(\"\\n\").split(\"\\t\")\n #seed_map[qId] = [seeds.split(\",\", 1)[0].split(\"=\")[0]]\n seed_map[qId] = [seed.split(\"=\")[0]\n for seed in seeds.split(\",\") if seed]\n return seed_map","def pre_process(fname, num_ex, alt_speaker):\n conversation = []\n with PathManager.open(fname) as f:\n lines = f.readlines()\n random.shuffle(lines)\n lines = lines[:num_ex]\n for line in lines:\n data = json.loads(line)\n dialogue = data[\"dialog\"]\n for item in dialogue:\n speaker = item[0]['id']\n text = item[0]['text']\n conversation += [(speaker, text)]\n conversation += [(END_OF_CONVO, END_OF_CONVO)]\n\n return conversation","def readfile(filename):\n\n\tfile = open(filename, \"rt\")\n\n\tretval = {}\n\n\tT = int(file.readline().strip())\n\tretval['T'] = T\n\n\ttests = []\n\n\tfor i in xrange(T):\n\t\tline = file.readline().strip()\n\n\t\tparts = line.split(\" \")\n\n\t\tN = int(parts[0])\n\t\tS = int(parts[1])\n\t\tp = int(parts[2])\n\t\tt = []\n\n\t\tfor j in xrange(N):\n\t\t\tt = t + [int(parts[3 + j]), ]\n\n\t\ttest = { 'N' : N, 'S': S, 'p' : p, 't' : t }\n\t\ttests = tests + [test, ]\n\n\tretval['tests'] = tests\n\treturn retval","def read_answers(path: str):\n if not os.path.exists(path):\n raise FileNotFoundError(\"file {} does not exists\".format(path))\n\n collection = {}\n with open(path, 'r') as file:\n for l in file.readlines():\n split = l.split(' ')\n index, doc_id = int(split[0]), int(split[1])\n if not collection.get(index):\n collection[index] = [doc_id]\n else:\n collection[index] += [doc_id]\n\n return collection","def read_utterances_from_files(session_folder, voice_sample_folder):\n utterance_content = []\n dialog_act = []\n\n with open('../test/data/' + session_folder + '/' + voice_sample_folder + '/label.json') as label_data:\n label = json.load(label_data)\n\n for j in range(len(label['turns'])):\n utterance_content += [label['turns'][j]['transcription']]\n dialog_act += [label['turns'][j]['semantics']['cam']]\n\n session_id = label['session-id']\n return [dialog_act, utterance_content, session_id]","def do_prompt(self):\n # we need _something_ in the dictionary even if the user decides to use all defaults\n # otherwise for some unknown reason it won't work\n user_in = {'__meta__': '__user_input__'}\n\n print('Please enter the information asked for in the following prompts in order to configure your deployment')\n # get the config information from the user\n for p in self.prompts:\n answer = input(p['prompt'])\n if len(answer.strip()) > 0 and 'variable' in p.keys():\n user_in[p['variable']] = answer\n\n # return the data\n return user_in","def parse_identifying_data(path, passwd, embedded_file='participants.txt'):\n if path is not None:\n zf = zipfile.ZipFile(path)\n zf.setpassword(passwd)\n\n participants = {}\n for l in zf.read(embedded_file).splitlines():\n if l.startswith('#'):\n continue\n\n bc, name = l.strip().split('\\t')[:2]\n participants[bc] = name.replace(\",\", \"\")\n\n print \"Using identified data!\"\n else:\n participants = None\n\n return participants","def get_recipes_dict(filename, mode_type, encode):\n with open(filename, mode_type, encoding=encode) as file:\n recipe_dict = dict()\n for line in file:\n dish = line.strip()\n amount = int(file.readline())\n buffer_list = list()\n for item in range(amount):\n ingredient, quantity, measure = file.readline().split('|')\n buffer_list.append(\n {'ingredient_name': ingredient.strip(), 'quantity': int(quantity), 'measure': measure.strip()}\n )\n recipe_dict[dish] = buffer_list\n file.readline()\n return recipe_dict","def get_sentiments(filename):\n valores = {}\n for linea in open(filename, 'r'):\n termino, valor = linea.split('\\t')\n valores[termino] = int(valor)\n return valores","def interconnected_groups(file_name):\n content = open_file(file_name)\n content_dict = defaultdict(list)\n\n # Create defautl dict with all the data provided in input file\n for line in content:\n line_items = line.split()\n line_id = int(line_items[0])\n line_communicate_ids = map(lambda x: int(x.strip(',')), line_items[2:])\n # Create content dict\n for id in line_communicate_ids:\n # Assign all the values to the line_id\n content_dict[line_id].append(id)\n # Assign all connected values to the connected items in the line\n content_dict[id].append(line_id)\n\n search_group = [0]\n # Initialize collection with no duplicated entries\n set_collection = set()\n while search_group:\n # Remove item from search group so it won't duplicate\n removed_item = search_group.pop()\n # Check for the removed item in the content default dict\n for item_line in content_dict[removed_item]:\n # If the item is not in the set collection - add it. Add the value from item_line to the search group.\n if item_line not in set_collection:\n set_collection.add(item_line)\n search_group.append(item_line)\n print \"Number of programs with same group as program {0} is: %i\" % len(set_collection)","def process_lines(lines):\n total_task1 = 0\n total_task2 = 0\n answers = []\n for l_count, line in enumerate(lines):\n\n if line != \"\":\n answers.append(set(line.strip()))\n\n if line == \"\" or l_count == len(lines)-1:\n total_task1 += count_task1_group(answers)\n total_task2 += count_task2_group(answers)\n\n answers = []\n\n print(f\"Task1: {total_task1}\")\n print(f\"Task2: {total_task2}\")","def get(self):\n user = getAuthData()\n question_list = list_questions()\n # user_question_list = list_questions_by_username(user['username'])\n # nonuser_question_list = list_questions_by_username(user['username'], invert=True)\n\n tasks = get_tasks().values()\n\n # filter out the SUCCESS/FAILURE tasks\n tasks = [t for t in tasks if not (t['state'] == 'SUCCESS' or t['state'] == 'FAILURE' or t['state'] == 'REVOKED')]\n\n # get question hashes\n question_tasks = {q.id:[] for q in question_list}\n for t in tasks:\n if not t['args']:\n continue\n match = re.match(r\"[\\[(]'(.*)',?[)\\]]\", t['args'])\n if not match:\n continue\n question_id = match.group(1)\n question_tasks[question_id].append(t)\n\n # split into answer and update tasks\n for t in tasks:\n t['type'] = 'answering' if t['name'] == 'manager.tasks.answer_question' else \\\n 'refreshing KG' if t['name'] == 'manager.tasks.update_kg' else \\\n 'something?'\n\n def augment_info(question):\n answerset_timestamps = [a.timestamp for a in question.answersets]\n if answerset_timestamps:\n latest_idx = answerset_timestamps.index(max(answerset_timestamps))\n latest_answerset_id = question.answersets[latest_idx].id\n latest_answerset_timestamp = question.answersets[latest_idx].timestamp\n else:\n latest_answerset_id = None\n latest_answerset_timestamp = None\n q = question.toJSON()\n q['user_email'] = question.user.email\n q.pop('user_id')\n q.pop('machine_question')\n return {'latest_answerset_id': latest_answerset_id,\n 'latest_answerset_timestamp': latest_answerset_timestamp.isoformat() if latest_answerset_timestamp else None,\n 'tasks': [t['type'] for t in question_tasks[question.id]],\n **q}\n\n return [augment_info(q) for q in question_list], 200","def readLinking(goldStdFile):\n linking = dict()\n for line in open(goldStdFile):\n d = re.split(\"\\s+\", line.strip())\n mention = d[0].upper()\n kb_id = d[1].upper()\n\n if kb_id in linking.keys():\n linking[kb_id].add(mention)\n else:\n linking[kb_id] = set([mention])\n return linking","def _parse_file(filename):\n with open(filename) as infile:\n data = infile.read()\n\n values = {}\n blank_line = True # beginning of file always counts as a blank line\n field_name = None\n cur_field = []\n for line in data.splitlines():\n if line.startswith(\"#\"):\n continue # skip comments\n\n if not line:\n blank_line = True\n cur_field.append(line)\n continue\n\n if blank_line and line.endswith(\":\") and len(line.split()) == 1:\n # this is a new field name\n while cur_field and not cur_field[-1]:\n # remove trailing blank lines\n cur_field.pop()\n\n if cur_field and not field_name:\n # there is data for a field present, but no field name\n raise TaskSyntaxError(\n \"Missing field name for data:\\n{}\".format(\n \"\\n\".join(cur_field)))\n\n if field_name:\n values[field_name] = \"\\n\".join(cur_field)\n cur_field = []\n\n field_name = line[:-1]\n if field_name in TaskInfo._READ_ONLY_FIELDS:\n raise TaskSyntaxError(\n \"'{}' field is read-only\".format(field_name))\n\n blank_line = False\n continue\n\n blank_line = False\n cur_field.append(line)\n\n # FIXME - redundant code\n while cur_field and not cur_field[-1]:\n # remove trailing blank lines\n cur_field.pop()\n\n if cur_field and not field_name:\n # there is data for a field present, but no field name\n raise TaskSyntaxError(\n \"\\nMissing field name for data:\\n{{\\n{}\\n}}\".format(\n \"\\n\".join(cur_field)))\n\n if field_name:\n values[field_name] = \"\\n\".join(cur_field)\n\n return values","def read_task_list(fname):\n tasks = []\n ignores = []\n \n f = open(fname,'r')\n lns = f.readlines()\n f.close()\n \n for l in lns:\n items = [ it.strip() for it in l.split(',') ]\n if len(items)==3:\n tasks.append({\"cwd\" :items[0], # the directory where the command should be ran from\n \"command\" :items[1], # the command to be run\n \"result\" :items[2], # the expected result file (will be used to determine whether we are done)\n \"status\" :\"unknown\"})\n else:\n if len(l.strip())>0:\n ignores.append(\"Ignoring line '%s' in task file, not sure what to do with that.\"%(l.strip()))\n\n return tasks,ignores","def main(*paths):\n data = {}\n if paths:\n for path in paths:\n data.update(process_entries(read_file(path)))\n else:\n # Need to check if interactive to avoid blocking if nothing is piped\n if not sys.stdin.isatty():\n stdin_data = []\n for line in sys.stdin:\n stdin_data.append(line)\n data.update(process_entries(stdin_data))\n\n return output_requirements(data)","def load_file(p_path_to_data):\r\n\r\n all_answers = []\r\n query_ids = []\r\n no_answer_query_ids = set()\r\n with open(p_path_to_data, 'r', encoding='utf-8') as data_file:\r\n for line in data_file:\r\n try:\r\n json_object = json.loads(line)\r\n except json.JSONDecodeError:\r\n raise Exception('\\\"%s\\\" is not a valid json' % line)\r\n\r\n assert \\\r\n QUERY_ID_JSON_ID in json_object, \\\r\n '\\\"%s\\\" json does not have \\\"%s\\\" field' % \\\r\n (line, QUERY_ID_JSON_ID)\r\n query_id = json_object[QUERY_ID_JSON_ID]\r\n\r\n assert \\\r\n ANSWERS_JSON_ID in json_object, \\\r\n '\\\"%s\\\" json does not have \\\"%s\\\" field' % \\\r\n (line, ANSWERS_JSON_ID)\r\n answers = json_object[ANSWERS_JSON_ID]\r\n if 'No Answer Present.' in answers:\r\n no_answer_query_ids.add(query_id)\r\n answers = ['']\r\n all_answers.extend(answers)\r\n query_ids.extend([query_id]*len(answers))\r\n\r\n all_normalized_answers = normalize_batch(all_answers)\r\n\r\n query_id_to_answers_map = {}\r\n for i, normalized_answer in enumerate(all_normalized_answers):\r\n query_id = query_ids[i]\r\n if query_id not in query_id_to_answers_map:\r\n query_id_to_answers_map[query_id] = []\r\n query_id_to_answers_map[query_id].append(normalized_answer)\r\n return query_id_to_answers_map, no_answer_query_ids","def take_auth_data():\n home = str(Path.home())\n path_to_keys = '/Documents/twitter/keys/'\n\n files = [f for f in listdir(home+path_to_keys) if '.DS' not in f]\n\n tokens = []\n for f in files:\n with open(home+path_to_keys+f, 'r') as lines:\n ln = lines.readline().replace(\" \", \"\")\n tokens.append(ln)\n\n auth_data = dict(zip(files, tokens))\n return auth_data","def getSHSIDDict():\n m = {}\n fin = open(\"SHSDataset/Chromas/msd_keys_mapping.cly\")\n for l in fin.readlines():\n l = l.rstrip()\n f = l.split(\",\")\n m[f[0]] = int(f[1])\n fin.close()\n return m","def get_prompts(self):\n if self._prompts is None:\n # Start execution to be able to get prompts\n message = self.execute_async(arguments=self.prompt_args)\n\n while message.status not in [Status.Prompt, Status.Result]:\n self.log.debug(\"get_prompts status = {}\".format(message.status))\n message.update_status(max_wait_ms=1000)\n if message.status == Status.ErrMsg:\n raise MstrReportException(message.status_str)\n\n if message.status == Status.Result:\n return []\n else:\n arguments = {\n 'taskId': 'getPrompts',\n 'objectType': self.object_type,\n 'msgID': message.guid,\n 'sessionState': self._task_api_client.session\n }\n response = self._task_api_client.request(arguments, max_retries=3)\n\n # There are many ways that prompts can be returned. This api\n # currently supports a prompt that uses pre-created prompt objects.\n prompts = []\n prompt_dummy_answers = dict()\n for prompt_xml in response.prompts.contents:\n if prompt_xml.name == 'block':\n prompt_obj = Prompt(prompt_xml)\n prompt_dummy_answers[prompt_obj.attribute] = ''\n prompts.append(prompt_obj)\n self.execute_async(\n arguments={self.message_id_param: message.guid},\n element_prompt_answers=prompt_dummy_answers\n )\n self._prompts = prompts\n\n return self._prompts"],"string":"[\n \"def parse_prompt_file(prompt_file):\\n with io.open(prompt_file, mode=\\\"r\\\", encoding='utf-8', errors='ignore') as prompt_f:\\n return [prompt_f.readline().rstrip(),\\n prompt_f.readline().rstrip()]\",\n \"def read_default_prompts():\\n if os.path.exists(DEFAULT_PROMPTS_PATH):\\n with open(DEFAULT_PROMPTS_PATH, 'r') as file:\\n return {key: value for [key, value] in (line.rstrip().split('=') for line in file)}\\n else:\\n return {}\",\n \"def get_commands_dict() -> dict:\\n commands_dict = {}\\n f = open(f\\\"data/metadata/commands.dict.txt\\\", \\\"r\\\", encoding=\\\"utf-8\\\").read()\\n for command in f.split(\\\"\\\\n\\\"):\\n commands_dict[command.split(\\\":\\\")[0]] = command.split(\\\":\\\")[1]\\n return commands_dict\",\n \"def read_shared_secrets_from_file(f):\\n shares = []\\n words = []\\n for line in f.readlines():\\n line = line.strip()\\n if line and not re.match(r\\\"\\\\s*\\\\w+\\\", line):\\n continue\\n if line:\\n words.extend(line.split())\\n elif words:\\n shares.append(\\\" \\\".join(words))\\n words = []\\n if words:\\n shares.append(\\\" \\\".join(words))\\n return shares\",\n \"def read_trans_prompts(lines: List[str], lowercase=True) -> List[Tuple[str,str]]:\\n\\n ids_prompts = []\\n first = True\\n for line in lines:\\n if lowercase:\\n line = line.strip().lower()\\n else:\\n line = line.strip()\\n # in a group, the first one is the KEY. \\n # all others are part of the set. \\n if len(line) == 0:\\n first = True\\n else:\\n if first:\\n key, prompt = line.split(FIELDSEP)\\n ids_prompts.append((key, prompt))\\n first = False\\n\\n return ids_prompts\",\n \"def read_file(f, prefix=None):\\n p_data = {}\\n # This first line is the header for the entire file.\\n line = f.next()\\n line = line.strip()\\n # prev_line = line\\n top_header = line.split(',')\\n if not top_header:\\n # Don't parse this for now.\\n pass\\n # Now read in per-participant data.\\n while True:\\n word_list = []\\n all_words_data = {}\\n # The first line for the participant is a header.\\n try:\\n line = f.next()\\n except StopIteration:\\n # We had previously read everything, so we're done.\\n break\\n line = line.strip()\\n p_header = line.split(',')\\n\\n # The participant's ID # comes first.\\n p_id = p_header[0]\\n if not p_id:\\n # This happens when the previous participant didn't answer.\\n \\\"\\\"\\\"\\n print 'previous line:', prev_line\\n print 'current line:', line\\n print 'p header:', p_header\\n print\\n \\\"\\\"\\\"\\n continue\\n if prefix:\\n p_id = prefix + p_id\\n # print 'SN #', p_id\\n # The number of N/A's this p is at 28.\\n try:\\n p_nas = int(p_header[28])\\n except ValueError:\\n # This happens when an RA messes up the file.\\n \\\"\\\"\\\"\\n print 'nas: previous line:', prev_line\\n print 'nas: current line:', line\\n print 'nas: p header:', p_header\\n print\\n \\\"\\\"\\\"\\n raise\\n # print \\\"NA's: #\\\", p_nas\\n # Check if this participant left everything blank.\\n # XXX: Have to hard-code this.\\n if p_nas == 20:\\n p_data[p_id] = {'words': None,\\n 'word_data': None,\\n 'nas': None,\\n 'overall': None}\\n continue\\n # The next line after the header has both the data\\n # for the first word and overall statistics.\\n # prev_line = line\\n try:\\n line = f.next()\\n except StopIteration:\\n # We had previously read everything, so we're done.\\n break\\n line = line.strip()\\n word, word_data, overall_data = parse_first_line(line.split(','))\\n word_list.append(word)\\n all_words_data[word] = word_data\\n # Now read data for the rest of the words.\\n for line in f:\\n line = line.strip()\\n word, word_data = parse_data_lines(line.split(','))\\n if word == '':\\n \\\"\\\"\\\"\\n print \\\"loop's previous line:\\\", prev_line\\n print \\\"loop's current line:\\\", line\\n print\\n \\\"\\\"\\\"\\n # prev_line = line\\n break\\n word_list.append(word)\\n all_words_data[word] = word_data\\n # prev_line = line\\n # Compute per-word averages\\n all_total_avg, future_total_avg, past_total_avg = \\\\\\n datacomputer.compute_all_future_past(all_words_data)\\n overall_data['all'] = all_total_avg\\n overall_data['future'] = future_total_avg\\n overall_data['past'] = past_total_avg\\n p_data[p_id] = {'words': word_list,\\n 'word_data': all_words_data,\\n 'nas': p_nas,\\n 'overall': overall_data}\\n # print 'p_data'\\n # print p_data[p_id]\\n # print\\n print \\\"Processed {} participants' data\\\".format(len(p_data))\\n return p_data\",\n \"def workflow_fetch_item_task_spec(dtool_smb_config):\\n return {\\n 'item_id': {'key': 'search_dict_task->result'},\\n 'source': 'smb://test-share/1a1f9fad-8589-413e-9602-5bbd66bfe675',\\n 'filename': 'fetched_item.txt',\\n 'dtool_config': dtool_smb_config,\\n 'stored_data': True,\\n }\",\n \"def __load_dialogue_ids(self, filename):\\n with open(filename, \\\"r\\\") as file:\\n return file.readlines()[0].split()\",\n \"def read_target_and_labels_from_file(file_path):\\n stemmer = SnowballStemmer(\\\"english\\\")\\n dialog_acts = []\\n utterances = []\\n with open(file_path, \\\"r\\\") as file:\\n for line in file.readlines():\\n dialog_acts.append(line.split()[0])\\n utterances.append(stemmer.stem(line[line.find(\\\" \\\"):].strip()))\\n return dialog_acts, utterances\",\n \"def read_dataFile(fileName):\\n try:\\n questionList = []\\n prompt = None\\n with open(fileName, 'r') as f:\\n for i in f.readlines():\\n i = i.strip('\\\\n')\\n question = {}\\n if len(i.split(',')) == 1:\\n if i != prompt:\\n prompt = i\\n else:\\n question['prompt'] = prompt\\n question['flag'] = False # Has the question been answered?\\n question['title'] = i.split(',')[0]\\n if len(i.split(',')) > 2:\\n question['answer'] = list(i.split(',')[1:])\\n question['multiple_answers'] = True # There are multiple answers to the question.\\n else:\\n question['answer'] = i.split(',')[1]\\n question['multiple_answers'] = False\\n if question:\\n questionList.append(question)\\n return questionList\\n except Exception:\\n print('Error reading data file')\",\n \"def read(file_):\\n if not os.path.isfile(file_):\\n raise AssertionError()\\n\\n dict_ = {}\\n for line in open(file_).readlines():\\n\\n list_ = shlex.split(line)\\n\\n is_empty = (list_ == [])\\n\\n if not is_empty:\\n is_keyword = list_[0].isupper()\\n else:\\n is_keyword = False\\n\\n if is_empty:\\n continue\\n\\n if is_keyword:\\n keyword = list_[0]\\n dict_[keyword] = {}\\n continue\\n\\n process(list_, dict_, keyword)\\n\\n dict_ = auxiliary(dict_)\\n\\n # We perform some basic consistency checks regarding the user's request.\\n check_initialization_dict(dict_)\\n\\n return dict_\",\n \"def loadEmailData():\\n if os.stat('data/trialdata.txt').st_size == 0:\\n return {}\\n\\n with open('data/emaildata.txt', 'r') as f:\\n lines = f.readlines()\\n ids = [line.split()[0] for line in lines]\\n results = ([int(line.split()[1] == 'True') for line in lines])\\n data = {id:result for id, result in zip(ids, results)}\\n\\n return data\",\n \"def file_to_dictionary():\\n\\n return;\",\n \"def get_lines(file_name):\\n phrase_dict = {}\\n file_text = file_name.readlines()\\n for line_index, line in enumerate(file_text):\\n if line.startswith('msgid '):\\n line = line[7:-2]\\n if line:\\n phrase_dict[line_index] = line\\n return phrase_dict, file_text\",\n \"def read_speeches(filename):\\n\\n # Open a speech file\\n speech_file = open(filename)\\n\\n # Create a new dictionary\\n speech_dict = {}\\n\\n # Iterate over lines\\n for line in speech_file:\\n # Replace whitespace, including /n, at the end of a line with a single space\\n line = line.rstrip() + ' '\\n\\n # Given that a title begins with #\\n if line.startswith('#'):\\n # Remove '# ' at the beginning and ': ' at the end, to be used as a title\\n title = line[2:-2]\\n # Assign the tile as a key in the dictionary\\n speech_dict[title] = ''\\n # A speech line does not begins with #\\n else:\\n # Not begins with [ either\\n if line.startswith('[') is False:\\n # Append the speech line to the already existing string of the corresponding title\\n # The tile variable is kept from the previous loop(s)\\n speech_dict[title] += line\\n\\n # Close the file\\n speech_file.close()\\n\\n return speech_dict\",\n \"def parse_command(self, task_id: int, comm_dict: dict):\\n\\n request_data = None\\n request_time = None\\n\\n command_data = None\\n command = None\\n \\n # TODO: Fix the problem where the request/response is parsed in the wrong order\\n # if we change the order the getsystem works, but otherwise it displays missing response\\n try:\\n\\n command = comm_dict['command']\\n request_data = comm_dict['request']\\n request_time = comm_dict['request_time']\\n\\n command_data = comm_dict['response']\\n\\n except KeyError as comm_type:\\n\\n with open(self.output_file, 'a') as command_output:\\n command_output.write(f\\\"\\\\n{request_time}\\\\tTASK ID: {task_id}\\\\t TASK: <MISSING>\\\\n\\\")\\n if command:\\n command_output.write(f\\\"\\\\n\\\\tCOMMAND: {command}\\\\tMissing: {comm_type}\\\")\\n if command_data:\\n command_output.write(f\\\"\\\\n\\\\tMissing C2 command.\\\\n\\\\tCOMMAND DATA:\\\\n{command_data}\\\\n\\\\n\\\")\\n\\n return\\n\\n # COMMAND PARSING START\\n # TODO:\\n # - MsgTunnelData/Close\\n # - MsgWGListForwardersReq\\n # - MsgWGListSocksReq\\n\\n # DEBUG\\n # print(command, request_data[:32])\\n \\n if command == \\\"MsgTaskReq\\\":\\n task_req = sliver_pb2.TaskReq()\\n task_req.ParseFromString(request_data)\\n\\n session_id = task_req.Request.SessionID\\n\\n task_data = task_req.Data\\n\\n with open(self.output_file, 'a') as task_output:\\n task_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\tTASK: {command}\\\\n\\\")\\n\\n if len(task_data) > 0:\\n task_md5 = hashlib.md5(task_data).digest()\\n\\n task_filename = f\\\"{self.dump_dir}/{self.sliver_session}_{command}_{task_md5.hex()}.bin\\\"\\n\\n with open(task_filename, 'wb') as dump_file:\\n dump_file.write(task_data)\\n\\n task_output.write(f\\\"\\\\n\\\\tDumped shellcode in: {task_filename}\\\\n\\\")\\n\\n elif command == \\\"MsgPing\\\":\\n ping_handler = sliver_pb2.Ping()\\n ping_handler.ParseFromString(command_data)\\n\\n session_id = ping_handler.Request.SessionID\\n\\n ping_nonce = ping_handler.Nonce\\n \\n with open(self.output_file, 'a') as ping_output:\\n ping_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\tTASK: {command}\\\\n\\\")\\n ping_output.write(f\\\"\\\\n\\\\tReceived Ping Nonce: {ping_nonce}\\\\n\\\")\\n\\n elif command == \\\"MsgKillSessionReq\\\":\\n kill_req = sliver_pb2.KillSessionReq()\\n kill_req.ParseFromString(request_data)\\n\\n session_id = kill_req.Request.SessionID\\n\\n with open(self.output_file, 'a') as kill_output:\\n kill_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\tTASK: {command}\\\\n\\\")\\n kill_output.write(f\\\"\\\\n\\\\tForce: {kill_req.Force}\\\\n\\\")\\n\\n elif command == \\\"MsgLsReq\\\":\\n ls_req = sliver_pb2.LsReq()\\n ls_req.ParseFromString(request_data)\\n\\n session_id = ls_req.Request.SessionID\\n \\n ls_handler = sliver_pb2.Ls()\\n ls_handler.ParseFromString(command_data)\\n\\n path = ls_handler.Path\\n files = ls_handler.Files\\n \\n with open(self.output_file, 'a') as ls_output:\\n ls_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\tTASK: {command}\\\\n\\\")\\n ls_output.write(f\\\"\\\\n\\\\tPath: {path}\\\\n\\\\t{'-' * 50}\\\\n\\\")\\n\\n for file in files:\\n if file.IsDir:\\n ls_output.write(f\\\"\\\\t<dir>\\\\t\\\\t{file.Name}\\\\n\\\")\\n else:\\n ls_output.write(f\\\"\\\\t{file.Size}\\\\t\\\\t{file.Name}\\\\n\\\")\\n\\n elif command == \\\"MsgDownloadReq\\\":\\n download_req = sliver_pb2.DownloadReq()\\n download_req.ParseFromString(request_data)\\n\\n session_id = download_req.Request.SessionID\\n\\n download_handler = sliver_pb2.Download()\\n download_handler.ParseFromString(command_data)\\n\\n path = download_handler.Path\\n encoder = download_handler.Encoder\\n response = download_handler.Response\\n download_data = download_handler.Data\\n \\n with open(self.output_file, 'a') as download_output:\\n download_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n download_output.write(f\\\"\\\\n\\\\tDownloading: {path} - Encoder: {encoder}\\\\n\\\")\\n\\n if len(download_data) > 0:\\n download_md5 = hashlib.md5(download_data).digest()\\n\\n download_filename = f\\\"{self.dump_dir}/{self.sliver_session}_{command}_{download_md5.hex()}\\\"\\n\\n with open(download_filename, 'wb') as dump_file:\\n dump_file.write(download_data)\\n \\n download_output.write(f\\\"\\\\n\\\\tDumped file in: {download_filename}\\\\n\\\")\\n else:\\n download_output.write(f\\\"\\\\n\\\\t{response}\\\\n\\\")\\n\\n elif command == \\\"MsgUploadReq\\\":\\n upload = sliver_pb2.UploadReq()\\n upload.ParseFromString(request_data)\\n\\n session_id = upload.Request.SessionID\\n \\n upload_data = upload.Data\\n\\n upload_handler = sliver_pb2.UploadReq()\\n upload_handler.ParseFromString(command_data)\\n\\n path = upload_handler.Path\\n encoder = upload.Encoder\\n\\n with open(self.output_file, 'a') as upload_output:\\n upload_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n upload_output.write(f\\\"\\\\n\\\\tUploaded: {path} - Encoder: {encoder}\\\\n\\\")\\n \\n if len(upload_data) > 0:\\n upload_md5 = hashlib.md5(upload_data).digest()\\n\\n upload_filename = f\\\"{self.dump_dir}/{self.sliver_session}_{command}_{upload_md5.hex()}\\\"\\n\\n with open(upload_filename, 'wb') as dump_file:\\n dump_file.write(upload_data)\\n\\n upload_output.write(f\\\"\\\\n\\\\tDumped file in: {upload_filename}\\\\n\\\")\\n else:\\n upload_output.write(f\\\"\\\\n\\\\tUpload failed\\\\n\\\")\\n\\n elif command == \\\"MsgCdReq\\\":\\n cd_req = sliver_pb2.CdReq()\\n cd_req.ParseFromString(request_data)\\n\\n session_id = cd_req.Request.SessionID\\n\\n cd_handler = sliver_pb2.CdReq()\\n cd_handler.ParseFromString(command_data)\\n \\n cd_path = cd_handler.Path\\n\\n with open(self.output_file, 'a') as cd_output:\\n cd_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n if len(cd_path) > 0:\\n cd_output.write(f\\\"\\\\n\\\\tWorking directory: {cd_path}\\\\n\\\")\\n\\n elif command == \\\"MsgPwdReq\\\":\\n pwd_req = sliver_pb2.PwdReq()\\n pwd_req.ParseFromString(request_data)\\n\\n session_id = pwd_req.Request.SessionID\\n\\n pwd_handler = sliver_pb2.Pwd()\\n pwd_handler.ParseFromString(command_data)\\n\\n with open(self.output_file, 'a') as pwd_output:\\n pwd_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\\n\\\")\\n pwd_output.write(f\\\"\\\\t{pwd_handler}\\\\n\\\")\\n\\n elif command == \\\"MsgRmReq\\\":\\n rm_req = sliver_pb2.RmReq()\\n rm_req.ParseFromString(request_data)\\n\\n session_id = rm_req.Request.SessionID\\n\\n rm_handler = sliver_pb2.Rm()\\n rm_handler.ParseFromString(command_data)\\n\\n path = rm_handler.Path\\n response = rm_handler.Response\\n \\n with open(self.output_file, 'a') as rm_output:\\n rm_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\\n\\\")\\n\\n rm_output.write(f\\\"\\\\tRemoving directory: {path}\\\\n\\\")\\n rm_output.write(f\\\"\\\\t{response}\\\\n\\\")\\n\\n elif command == \\\"MsgMkdirReq\\\":\\n mkdir_req = sliver_pb2.MkdirReq()\\n mkdir_req.ParseFromString(request_data)\\n\\n session_id = mkdir_req.Request.SessionID\\n\\n mkdir_handler = sliver_pb2.Mkdir()\\n mkdir_handler.ParseFromString(command_data)\\n\\n path = mkdir_handler.Path\\n response = mkdir_handler.Response\\n\\n with open(self.output_file, 'a') as mkdir_output:\\n mkdir_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\\n\\\")\\n\\n mkdir_output.write(f\\\"\\\\tCreating directory: {path}\\\\n\\\")\\n mkdir_output.write(f\\\"\\\\t{response}\\\\n\\\")\\n \\n elif command == \\\"MsgPsReq\\\":\\n ps_req = sliver_pb2.PsReq()\\n ps_req.ParseFromString(request_data)\\n\\n session_id = ps_req.Request.SessionID\\n\\n ps_handler = sliver_pb2.Ps()\\n ps_handler.ParseFromString(command_data)\\n\\n processes = ps_handler.Processes\\n\\n with open(self.output_file, 'a') as ps_output:\\n ps_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\tTASK: {command}\\\\n\\\")\\n\\n for proc in processes:\\n ps_output.write(f\\\"\\\\tPID: {proc.Pid}\\\\t- PPID: {proc.Ppid}\\\\t- Process Name: {proc.Executable}\\\\n\\\")\\n\\n elif command == \\\"MsgShellReq\\\":\\n\\n # TODO\\n # Currently Tunnels are not followed in the traffic\\n # Workaround -> store the PID and do some manual analysis on the pid started\\n # OR: buildin extra check that checks for tunnel ID and read everything on the pipe (store as protobuf or something)\\n shell_req = sliver_pb2.ShellReq()\\n shell_req.ParseFromString(request_data)\\n\\n session_id = shell_req.Request.SessionID\\n\\n shell_handler = sliver_pb2.Shell()\\n shell_handler.ParseFromString(command_data)\\n\\n tunnel_id = shell_req.TunnelID\\n pid = shell_handler.Pid\\n\\n with open(self.output_file, 'a') as shell_output:\\n shell_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\tTASK: {command}\\\\n\\\")\\n shell_output.write(f\\\"\\\\n\\\\tTUNNEL ID: {tunnel_id}\\\\tPID: {pid}\\\\n\\\")\\n\\n elif command == \\\"MsgTunnelData\\\":\\n pass\\n\\n elif command == \\\"MsgTunnelClose\\\":\\n pass\\n\\n # NOTE: THIS SEEMS BROKEN -> dunno how to fix\\n elif command == \\\"MsgProcessDumpReq\\\":\\n procdump_req = sliver_pb2.ProcessDumpReq()\\n procdump_req.ParseFromString(request_data)\\n\\n session_id = procdump_req.Request.SessionID\\n pid = procdump_req.Pid\\n\\n procdump_resp = sliver_pb2.ProcessDump()\\n procdump_resp.ParseFromString(command_data)\\n\\n procdump = procdump_resp.Data\\n\\n with open(self.output_file, 'a') as procdump_output:\\n procdump_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n procdump_output.write(f\\\"\\\\n\\\\tRequested process dump for: {pid}\\\\n\\\")\\n\\n if len(procdump) > 0:\\n memdump_md5 = hashlib.md5(procdump).digest()\\n memdump_filename = f\\\"{self.dump_dir}_{self.sliver_session}_{command}_{memdump_md5.hex()}.bin\\\"\\n with open(memdump_filename, 'wb') as dump_file:\\n dump_file.write(procdump)\\n\\n procdump_output.write(f\\\"\\\\n\\\\tMemdump file saved to: {memdump_filename}\\\\n\\\") \\n\\n elif command == \\\"MsgImpersonateReq\\\":\\n impersonate_req = sliver_pb2.ImpersonateReq()\\n impersonate_req.ParseFromString(request_data)\\n\\n session_id = impersonate_req.Request.SessionID\\n username = impersonate_req.Username\\n\\n impersonate_handler = sliver_pb2.Impersonate()\\n impersonate_handler.ParseFromString(command_data)\\n\\n response = str(impersonate_handler.Response)\\n \\n with open(self.output_file, 'a') as impersonate_output:\\n impersonate_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n if response:\\n impersonate_output.write(f\\\"\\\\n\\\\t{response}\\\\n\\\")\\n else:\\n impersonate_output.write(f\\\"\\\\n\\\\tImpersonated: {username}\\\\n\\\")\\n\\n elif command == \\\"MsgRunAsReq\\\":\\n runas_req = sliver_pb2.RunAsReq()\\n runas_req.ParseFromString(request_data)\\n\\n session_id = runas_req.Request.SessionID\\n username = runas_req.Username\\n procname = runas_req.ProcessName\\n args = runas_req.Args\\n\\n runas_handler = sliver_pb2.RunAs()\\n runas_handler.ParseFromString(command_data)\\n\\n response = str(runas_handler.Response)\\n\\n with open(self.output_file, 'a') as runas_output:\\n runas_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n\\n runas_output.write(f\\\"\\\\n\\\\tUsername: {username}\\\\tProcess: {procname}\\\\tArgs:{args}\\\\n\\\")\\n\\n if len(response) > 0:\\n runas_output.write(f\\\"\\\\t{response}\\\\n\\\")\\n\\n elif command == \\\"MsgRevToSelfReq\\\":\\n revtoself_req = sliver_pb2.RevToSelfReq()\\n revtoself_req.ParseFromString(request_data)\\n\\n session_id = revtoself_req.Request.SessionID\\n\\n revtoself_handler = sliver_pb2.RevToSelf()\\n revtoself_handler.ParseFromString(command_data)\\n\\n response = str(revtoself_handler.Response)\\n \\n with open(self.output_file, 'a') as revtoself_output:\\n revtoself_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n if len(response) > 0:\\n revtoself_output.write(f\\\"\\\\t{response}\\\\n\\\")\\n else:\\n revtoself_output.write(\\\"\\\\n\\\\tSuccessfully reverted token\\\\n\\\")\\n\\n elif command == \\\"MsgInvokeGetSystemReq\\\":\\n getsystem_req = sliver_pb2.InvokeGetSystemReq()\\n getsystem_req.ParseFromString(request_data)\\n\\n session_id = getsystem_req.Request.SessionID\\n hostproc = getsystem_req.HostingProcess\\n\\n implant = getsystem_req.Data\\n\\n with open(self.output_file, 'a') as getsystem_output:\\n getsystem_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n getsystem_output.write(f\\\"\\\\n\\\\tImplant session spawned in {hostproc}\\\\n\\\")\\n\\n if len(implant) > 0:\\n implant_md5 = hashlib.md5(implant).digest()\\n implant_filename = f\\\"{self.dump_dir}/{self.sliver_session}_{command}_{implant_md5.hex()}\\\"\\n with open(implant_filename, 'wb') as implant_file:\\n implant_file.write(implant)\\n\\n getsystem_output.write(f\\\"\\\\n\\\\tGetSystem session implant written to: {implant_filename}\\\\n\\\")\\n\\n elif command == \\\"MsgInvokeExecuteAssemblyReq\\\":\\n exec_assembly_req = sliver_pb2.InvokeExecuteAssemblyReq()\\n exec_assembly_req.ParseFromString(request_data)\\n\\n session_id = exec_assembly_req.Request.SessionID\\n\\n assembly = exec_assembly_req.Data\\n pid = exec_assembly_req.Pid\\n\\n with open(self.output_file, 'a') as assembly_output:\\n assembly_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n assembly_output.write(f\\\"\\\\n\\\\tTasked to execute assembly into: {pid}\\\\n\\\")\\n\\n assembly_md5 = hashlib.md5(assembly).digest()\\n assembly_filename = f\\\"{self.dump_dir}_{self.sliver_session}_{command}_{assembly_md5.hex()}.bin\\\"\\n with open(assembly_filename, 'wb') as assembly_file:\\n assembly_file.write(assembly)\\n\\n assembly_output.write(f\\\"\\\\n\\\\tWritten assembly to: {assembly_filename}\\\\n\\\")\\n\\n elif command == \\\"MsgExecuteAssemblyReq\\\":\\n exec_assembly_req = sliver_pb2.ExecuteAssemblyReq()\\n exec_assembly_req.ParseFromString(request_data)\\n\\n session_id = exec_assembly_req.Request.SessionID\\n\\n assembly = exec_assembly_req.Assembly\\n args = exec_assembly_req.Args\\n process = exec_assembly_req.Process\\n dll = exec_assembly_req.IsDLL\\n arch = exec_assembly_req.Arch\\n classname = exec_assembly_req.ClassName\\n method = exec_assembly_req.Method\\n appdomain = exec_assembly_req.AppDomain\\n\\n with open(self.output_file, 'a') as assembly_output:\\n assembly_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n assembly_output.write(f\\\"\\\\n\\\\tExecute assembly request:\\\\n\\\")\\n assembly_output.write(f\\\"\\\\n\\\\t\\\\tArgs: {args}\\\\n\\\\t\\\\tProcess: {process}\\\\n\\\\t\\\\tDLL: {dll}\\\\n\\\\t\\\\tArch: {arch}\\\\n\\\\t\\\\tClassName: {classname}\\\\n\\\\t\\\\tMethod: {method}\\\\n\\\\t\\\\tAppDomain{appdomain}\\\")\\n\\n assembly_md5 = hashlib.md5(assembly).digest()\\n assembly_filename = f\\\"{self.dump_dir}_{self.sliver_session}_{command}_{assembly_md5.hex()}.bin\\\"\\n with open(assembly_filename, 'wb') as assembly_file:\\n assembly_file.write(assembly)\\n\\n assembly_output.write(f\\\"\\\\n\\\\tWritten assembly to: {assembly_filename}\\\\n\\\")\\n\\n elif command == \\\"MsgInvokeMigrateReq\\\":\\n migrate_handler = sliver_pb2.InvokeMigrateReq()\\n migrate_handler.ParseFromString(request_data)\\n\\n session_id = migrate_handler.Request.SessionID\\n \\n shellcode = migrate_handler.Data\\n pid = migrate_handler.Pid\\n \\n with open(self.output_file, 'a') as migrate_output:\\n migrate_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n migrate_output.write(f\\\"\\\\n\\\\tMigrated into PID: {pid}\\\\n\\\")\\n\\n if len(shellcode) > 0:\\n shellcode_md5 = hashlib.md5(shellcode).digest()\\n shellcode_filename = f\\\"{self.dump_dir}/{self.sliver_session}_{command}_{shellcode_md5.hex()}.bin\\\"\\n with open(shellcode_filename, 'wb') as shellcode_file:\\n shellcode_file.write(shellcode)\\n \\n migrate_output.write(f\\\"\\\\n\\\\tShellcode written to: {shellcode_filename}\\\\n\\\")\\n\\n elif command == \\\"MsgSideloadReq\\\":\\n sideload_req = sliver_pb2.SideloadReq()\\n sideload_req.ParseFromString(request_data)\\n\\n session_id = sideload_req.Request.SessionID\\n\\n dll = sideload_req.Data\\n dll_args = sideload_req.Args\\n dll_entrypoint = sideload_req.EntryPoint\\n process = sideload_req.ProcessName\\n dll_kill = sideload_req.Kill\\n\\n with open(self.output_file, 'a') as dll_output:\\n dll_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n dll_output.write(f\\\"\\\\tRequested DLL injection into: {process}\\\\n\\\")\\n dll_output.write(f\\\"\\\\t\\\\tDLL entrypoint: {dll_entrypoint}\\\\n\\\\t\\\\tDLL args: {dll_args}\\\\n\\\\t\\\\tKill: {dll_kill}\\\\n\\\")\\n\\n if len(dll) > 0:\\n dll_md5 = hashlib.md5(dll).digest()\\n dll_filename = f\\\"{self.dump_dir}/{self.sliver_session}_{command}_{dll_md5.hex()}.dll\\\"\\n\\n with open(dll_filename, 'wb') as dll_file:\\n dll_file.write(dll)\\n\\n dll_output.write(f\\\"\\\\nDLL written to: {dll_filename}\\\\n\\\")\\n\\n elif command == \\\"MsgSpawnDllReq\\\":\\n dll_req = sliver_pb2.SpawnDllReq()\\n dll_req.ParseFromString(request_data)\\n\\n session_id = dll_req.Request.SessionID\\n\\n dll = dll_req.Data\\n dll_args = dll_req.Args\\n dll_offset = dll_req.Offset\\n process = dll_req.ProcessName\\n dll_kill = dll_req.Kill\\n\\n with open(self.output_file, 'a') as dll_output:\\n dll_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n dll_output.write(f\\\"\\\\tRequested DLL injection into: {process}\\\\n\\\")\\n dll_output.write(f\\\"\\\\t\\\\tDLL offset: {dll_offset}\\\\n\\\\t\\\\tDLL args: {dll_args}\\\\n\\\\t\\\\tKill: {dll_kill}\\\\n\\\")\\n\\n if len(dll) > 0:\\n dll_md5 = hashlib.md5(dll).digest()\\n dll_filename = f\\\"{self.dump_dir}/{self.sliver_session}_{command}_{dll_md5.hex()}.dll\\\"\\n with open(dll_filename, 'wb') as dll_file:\\n dll_file.write(dll)\\n\\n dll_output.write(f\\\"\\\\nDLL written to: {dll_filename}\\\\n\\\")\\n\\n elif command == \\\"MsgIfconfigReq\\\":\\n ifconfig_req = sliver_pb2.IfconfigReq()\\n ifconfig_req.ParseFromString(request_data)\\n\\n session_id = ifconfig_req.Request.SessionID\\n\\n ifconfig_handler = sliver_pb2.Ifconfig()\\n ifconfig_handler.ParseFromString(command_data)\\n\\n interfaces = ifconfig_handler.NetInterfaces\\n\\n with open(self.output_file, 'a') as ifconfig_output:\\n ifconfig_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n\\n for iface in interfaces:\\n ifconfig_output.write(f\\\"\\\\n\\\\tInterface: {iface.Name}\\\\t MAC: {iface.MAC}\\\\n\\\")\\n\\n for address in iface.IPAddresses:\\n ifconfig_output.write(f\\\"\\\\t\\\\tAddress: {address}\\\\n\\\")\\n\\n elif command == \\\"MsgExecuteReq\\\":\\n execute_req = sliver_pb2.ExecuteReq()\\n execute_req.ParseFromString(request_data)\\n\\n session_id = execute_req.Request.SessionID\\n \\n path = execute_req.Path\\n\\n execute_handler = sliver_pb2.Execute()\\n execute_handler.ParseFromString(command_data)\\n\\n result = execute_handler.Result\\n \\n with open(self.output_file, 'a') as execute_output:\\n execute_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n execute_output.write(f\\\"\\\\n\\\\tExecuted: {path}\\\\n\\\\n\\\")\\n execute_output.write(f\\\"\\\\t{result}\\\\n\\\")\\n\\n elif command == \\\"MsgTerminateReq\\\":\\n terminate_req = sliver_pb2.TerminateReq()\\n terminate_req.ParseFromString(request_data)\\n\\n session_id = terminate_req.Request.SessionID\\n\\n pid = terminate_req.Pid\\n force = terminate_req.Force\\n\\n terminate_resp = sliver_pb2.Terminate()\\n terminate_resp.ParseFromString(command_data)\\n\\n response = str(terminate_resp.Response)\\n\\n with open(self.output_file, 'a') as terminate_output:\\n terminate_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n\\n if len(response) > 0:\\n terminate_output.write(f\\\"\\\\n\\\\tFailed to terminate PID: {pid}\\\\n\\\")\\n else:\\n terminate_output.write(f\\\"\\\\n\\\\tTerminated PID: {pid}\\\\tForce: {force}\\\\n\\\")\\n\\n elif command == \\\"MsgScreenshotReq\\\":\\n screenshot_req = sliver_pb2.ScreenshotReq()\\n screenshot_req.ParseFromString(request_data)\\n\\n session_id = screenshot_req.Request.SessionID\\n\\n screenshot_handler = sliver_pb2.Screenshot()\\n screenshot_handler.ParseFromString(command_data)\\n\\n response = screenshot_handler.Response\\n\\n screenshot_data = screenshot_handler.Data\\n\\n with open(self.output_file, 'a') as screenshot_output:\\n screenshot_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n\\n if len(screenshot_data) > 0:\\n screenshot_md5 = hashlib.md5(screenshot_data).digest()\\n screenshot_file = f\\\"{self.dump_dir}/{self.sliver_session}_{command}_{screenshot_md5.hex()}.png\\\"\\n\\n with open(screenshot_file, 'wb') as dump_file:\\n dump_file.write(screenshot_data)\\n \\n screenshot_output.write(f\\\"\\\\n\\\\tScreenshot written to: {screenshot_file}\\\\n\\\")\\n\\n else:\\n screenshot_output.write(f\\\"\\\\n\\\\t{response}\\\\n\\\") \\n\\n elif command == \\\"MsgNetstatReq\\\":\\n netstat_req = sliver_pb2.NetstatReq()\\n netstat_req.ParseFromString(request_data)\\n\\n session_id = netstat_req.Request.SessionID\\n\\n netstat_handler = sliver_pb2.Netstat()\\n netstat_handler.ParseFromString(command_data)\\n\\n entries = netstat_handler.Entries\\n \\n with open(self.output_file, 'a') as netstat_output:\\n netstat_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\\n\\\")\\n\\n for entry in entries:\\n netstat_output.write(f\\\"\\\\tLocal Addr: {entry.LocalAddr.Ip}\\\")\\n netstat_output.write(f\\\"\\\\tRemote Addr: {entry.RemoteAddr.Ip}\\\")\\n netstat_output.write(f\\\"\\\\tState: {entry.SkState}\\\")\\n netstat_output.write(f\\\"\\\\tProcess: {entry.Process.Executable} {entry.Process.Pid}\\\")\\n netstat_output.write(f\\\"\\\\tProtocol: {entry.Protocol}\\\\n\\\")\\n\\n elif command == \\\"MsgNamedPipesReq\\\":\\n pipe_req = sliver_pb2.NamedPipesReq()\\n pipe_req.ParseFromString(request_data)\\n\\n session_id = pipe_req.Request.SessionID\\n\\n pipename = pipe_req.PipeName\\n\\n with open(self.output_file, 'a') as pipe_output:\\n pipe_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n pipe_output.write(f\\\"\\\\n\\\\tCreated named pipe: {pipename}\\\\n\\\")\\n\\n elif command == \\\"MsgTCPPivotReq\\\":\\n pivot_req = sliver_pb2.TCPPivotReq()\\n pivot_req.ParseFromString(request_data)\\n\\n session_id = pivot_req.Request.SessionID\\n\\n address = pivot_req.Address\\n\\n pivot_resp = sliver_pb2.TCPPivot()\\n pivot_resp.ParseFromString(command_data)\\n\\n pivot_success = pivot_resp.Success\\n\\n with open(self.output_file, 'a') as pivot_output:\\n pivot_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n if pivot_success:\\n pivot_output.write(f\\\"\\\\n\\\\tSuccessfully added pivot: {address}\\\\n\\\")\\n else:\\n pivot_output.write(f\\\"\\\\n\\\\tFailed to add pivot: {address}\\\\n\\\")\\n pivot_output.write(f\\\"\\\\tResponse: {pivot_resp.Response}\\\")\\n\\n elif command == \\\"MsgPivotListReq\\\":\\n list_req = sliver_pb2.PivotListReq()\\n list_req.ParseFromString(request_data)\\n\\n session_id = list_req.Request.SessionID\\n\\n list_resp = sliver_pb2.PivotList()\\n list_resp.ParseFromString(command_data)\\n\\n pivots = list_resp.Entries\\n\\n with open(self.output_file, 'a') as list_output:\\n list_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n\\n for pivot in pivots:\\n list_output.write(f\\\"\\\\n\\\\tPivot type: {pivot.Type}\\\\t{pivot.Remote}\\\\n\\\")\\n\\n elif command == \\\"MsgPivotOpen\\\":\\n pivot_req = sliver_pb2.PivotOpen()\\n pivot_req.ParseFromString(request_data)\\n \\n pivot_id = pivot_req.PivotID\\n pivot_type = pivot_req.PivotType\\n pivot_addr = pivot_req.RemoteAddress\\n pivot_register = pivot_req.RegisterMsg\\n \\n try:\\n envelope = sliver_pb2.Envelope()\\n envelope.ParseFromString(pivot_register)\\n except DecodeError:\\n return\\n\\n msg_data = envelope.Data\\n\\n with open(self.output_file, 'a') as pivot_output:\\n pivot_output.write(f\\\"\\\\n{request_time}\\\\tPIVOT OPEN ID: {pivot_id}\\\\t Type: {pivot_type}\\\\t Address: {pivot_addr}\\\\n\\\\n\\\")\\n \\n self.sliver_register(register_proto=msg_data, utc_ts=request_time)\\n\\n elif command == \\\"MsgPivotClose\\\":\\n pass\\n\\n elif command == \\\"MsgPivotData\\\":\\n pass\\n\\n elif command == \\\"MsgStartServiceReq\\\":\\n start_service_req = sliver_pb2.StartServiceReq()\\n start_service_req.ParseFromString(request_data)\\n\\n session_id = start_service_req.Request.SessionID\\n\\n servicename = start_service_req.ServiceName\\n service_description = start_service_req.ServiceDescription\\n binpath = start_service_req.BinPath\\n hostname = start_service_req.Hostname\\n\\n with open(self.output_file, 'a') as service_output:\\n service_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n service_output.write(f\\\"\\\\n\\\\tStarted service:\\\\n\\\\t\\\\tService name: {servicename}\\\\n\\\")\\n service_output.write(f\\\"\\\\t\\\\tDescription: {service_description}\\\\n\\\")\\n service_output.write(f\\\"\\\\t\\\\tBinary path: {binpath}\\\\n\\\")\\n service_output.write(f\\\"\\\\t\\\\tHostname: {hostname}\\\\n\\\")\\n\\n elif command == \\\"MsgStopServiceReq\\\":\\n pass\\n\\n elif command == \\\"MsgRemoveServiceReq\\\":\\n remove_service_req = sliver_pb2.RemoveServiceReq()\\n remove_service_req.ParseFromString(request_data)\\n\\n session_id = remove_service_req.Request.SessionID\\n \\n servicename = remove_service_req.ServiceInfo.ServiceName\\n hostname = remove_service_req.ServiceInfo.Hostname\\n\\n with open(self.output_file, 'a') as service_output:\\n service_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n service_output.write(f\\\"\\\\n\\\\tRemoved service:\\\\n\\\\t\\\\tService name: {servicename}\\\\n\\\\t\\\\tHostname: {hostname}\\\\n\\\")\\n\\n elif command == \\\"MsgMakeTokenReq\\\":\\n make_token_handler_req = sliver_pb2.MakeTokenReq()\\n make_token_handler_req.ParseFromString(request_data)\\n\\n session_id = make_token_handler_req.Request.SessionID\\n \\n user_domain = make_token_handler_req.Domain\\n user = make_token_handler_req.Username\\n password = make_token_handler_req.Password\\n \\n make_token_handler_resp = sliver_pb2.MakeToken()\\n make_token_handler_resp.ParseFromString(command_data)\\n\\n response = str(make_token_handler_resp.Response)\\n \\n with open(self.output_file, 'a') as make_token_output:\\n make_token_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n if response:\\n make_token_output.write(f\\\"\\\\n\\\\tFailed to create token:\\\\n\\\\t\\\\tUser: {user_domain}\\\\{user} Password: {password}\\\\n\\\")\\n else:\\n make_token_output.write(f\\\"\\\\n\\\\tSuccessfully created token:\\\\n\\\\t\\\\tUser: {user_domain}\\\\{user}\\\\n\\\\t\\\\tPassword: {password}\\\\n\\\")\\n\\n elif command == \\\"MsgMakeToken\\\":\\n token_req = sliver_pb2.MakeTokenReq()\\n token_req.ParseFromString(request_data)\\n\\n session_id = token_req.Request.SessionID\\n\\n domain = token_req.Domain\\n user = token_req.User\\n password = token_req.Password\\n\\n token_resp = sliver_pb2.MakeToken()\\n token_resp.ParseFromString(command_data)\\n\\n response = token_resp.Response()\\n\\n with open(self.output_file, 'a') as make_token_output:\\n make_token_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n if len(str(response)):\\n make_token_output.write(f\\\"\\\\n\\\\tFailed to create token:\\\\n\\\\t\\\\tUser: {domain}\\\\{user} Password: {password}\\\\n\\\")\\n else:\\n make_token_output.write(f\\\"\\\\n\\\\tSuccessfully created token:\\\\n\\\\t\\\\tUser: {domain}\\\\{user}\\\\n\\\\t\\\\tPassword: {password}\\\\n\\\")\\n\\n elif command == \\\"MsgEnvReq\\\":\\n env_req = sliver_pb2.EnvReq()\\n env_req.ParseFromString(request_data)\\n\\n session_id = env_req.Request.SessionID\\n\\n env_resp = sliver_pb2.EnvInfo()\\n env_resp.ParseFromString(command_data)\\n\\n variables = env_resp.Variables\\n\\n with open(self.output_file, 'a') as env_output:\\n env_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\\n\\\")\\n\\n if len(str(env_resp)) > 0:\\n for env_var in variables:\\n env_output.write(f\\\"\\\\t{env_var.Key}={env_var.Value}\\\\n\\\")\\n\\n elif command == \\\"MsgSetEnvReq\\\":\\n env_req = sliver_pb2.SetEnvReq()\\n env_req.ParseFromString(request_data)\\n\\n session_id = env_req.Request.SessionID\\n\\n env_key = env_req.Variable.Key\\n env_value = env_req.Variable.Value\\n\\n with open(self.output_file, 'a') as env_output:\\n env_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n env_output.write(f\\\"\\\\n\\\\tSet environment variable: {env_key}={env_value}\\\\n\\\")\\n\\n elif command == \\\"MsgExecuteTokenReq\\\":\\n exec_token_req = sliver_pb2.ExecuteTokenReq()\\n exec_token_req.ParseFromString(request_data)\\n\\n session_id = exec_token_req.Request.SessionID\\n\\n path = exec_token_req.Path\\n args = exec_token_req.Args\\n\\n with open(self.output_file, 'a') as exec_token_output:\\n exec_token_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n \\n if len(args) > 0:\\n exec_token_req.write(f\\\"\\\\n\\\\Execute token: {path} {' '.join([arg for arg in args])}\\\")\\n else:\\n exec_token_output.write(f\\\"\\\\n\\\\tExecute token: {path}\\\\n\\\")\\n\\n elif command == \\\"MsgRegistryReadReq\\\":\\n registry_read_req = sliver_pb2.RegistryReadReq()\\n registry_read_req.ParseFromString(request_data)\\n\\n session_id = registry_read_req.Request.SessionID\\n\\n reg_hive = registry_read_req.Hive\\n reg_path = registry_read_req.Path\\n reg_key = registry_read_req.Key\\n\\n registry_read_handler = sliver_pb2.RegistryRead()\\n registry_read_handler.ParseFromString(command_data)\\n\\n response = str(registry_read_handler.Response)\\n\\n with open(self.output_file, 'a') as reg_output:\\n reg_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n reg_output.write(f\\\"\\\\n\\\\tRegistry read: {reg_hive}\\\\\\\\{reg_path}\\\\\\\\{reg_key}\\\\n\\\")\\n\\n if len(response) == 0:\\n reg_data = registry_read_handler.Value\\n reg_output.write(f\\\"\\\\n\\\\tData: {reg_data}\\\\n\\\")\\n\\n else:\\n reg_output.write(f\\\"\\\\n\\\\t{response}\\\\n\\\")\\n\\n elif command == \\\"MsgRegistryWriteReq\\\":\\n registry_write_req = sliver_pb2.RegistryWriteReq()\\n registry_write_req.ParseFromString(request_data)\\n\\n session_id = registry_write_req.Request.SessionID\\n\\n reg_hive = registry_write_req.Hive\\n reg_path = registry_write_req.Path\\n reg_key = registry_write_req.Key\\n\\n registry_write_handler = sliver_pb2.RegistryWrite()\\n registry_write_handler.ParseFromString(command_data)\\n\\n response = str(registry_write_handler.Response)\\n\\n with open(self.output_file, 'a') as reg_output:\\n reg_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n reg_output.write(f\\\"\\\\n\\\\tRegistry write: {reg_hive}\\\\\\\\{reg_path}\\\\\\\\{reg_key}\\\\n\\\")\\n\\n if len(response) == 0:\\n\\n if str(registry_write_req.Type) == \\\"STRING\\\":\\n reg_data = str(registry_write_req.StringValue)\\n reg_output.write(f\\\"\\\\n\\\\tData: {reg_data}\\\")\\n\\n else:\\n reg_data = registry_write_req.ByteValue\\n reg_data_md5 = hashlib.md5(reg_data).digest()\\n screenshot_file = f\\\"{self.dump_dir}/{self.sliver_session}_{command}_{reg_data_md5.hex()}.bin\\\"\\n\\n with open(screenshot_file, 'wb') as dump_file:\\n dump_file.write(reg_data)\\n \\n reg_output.write(f\\\"\\\\tData written to: {screenshot_file}\\\\n\\\")\\n\\n else:\\n reg_output.write(f\\\"\\\\n\\\\t{response}\\\\n\\\")\\n\\n elif command == \\\"MsgRegistryCreateKeyReq\\\":\\n registry_create_req = sliver_pb2.RegistryCreateKeyReq()\\n registry_create_req.ParseFromString(request_data)\\n\\n session_id = registry_create_req.Request.SessionID\\n\\n reg_hive = registry_create_req.Hive\\n reg_path = registry_create_req.Path\\n reg_key = registry_create_req.Key\\n\\n registry_create_handler = sliver_pb2.RegistryCreateKey()\\n registry_create_handler.ParseFromString(command_data)\\n\\n response = str(registry_create_handler.Response)\\n\\n with open(self.output_file, 'a') as reg_output:\\n reg_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n reg_output.write(f\\\"\\\\n\\\\tRegistry create: {reg_hive}\\\\\\\\{reg_path}\\\\\\\\{reg_key}\\\\n\\\")\\n\\n if len(response) > 0:\\n reg_output.write(f\\\"\\\\t{response}\\\\n\\\")\\n\\n elif command == \\\"MsgWGStartPortFwdReq\\\":\\n wg_startfwd_req = sliver_pb2.WGPortForwardStartReq()\\n wg_startfwd_req.ParseFromString(request_data)\\n\\n session_id = wg_startfwd_req.Request.SessionID\\n\\n wg_startfwd_resp = sliver_pb2.WGSocksStartReq()\\n wg_startfwd_resp.ParseFromString(command_data)\\n\\n response = str(wg_startfwd_resp.Response)\\n\\n with open(self.output_file, 'a') as wg_output:\\n wg_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n if len(response) > 0:\\n wg_output.write(f\\\"\\\\n\\\\t{response}\\\\n\\\")\\n else:\\n wg_output.write(f\\\"\\\\n\\\\tStarted WG Listener at: {wg_startfwd_req.RemoteAddress}:{wg_startfwd_req.LocalPort}\\\\n\\\")\\n\\n elif command == \\\"MsgWGStopPortFwdReq\\\":\\n wg_stopfwd_req = sliver_pb2.WGPortForwardStopReq()\\n wg_stopfwd_req.ParseFromString(request_data)\\n\\n session_id = wg_stopfwd_req.Request.SessionID\\n\\n wg_id = wg_stopfwd_req.ID\\n\\n with open(self.output_file, 'a') as wg_output:\\n wg_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n wg_output.write(f\\\"\\\\n\\\\tStopped WG listener: {wg_id}\\\\n\\\")\\n\\n elif command == \\\"MsgWGStartSocksReq\\\":\\n socks_start_req = sliver_pb2.WGSocksStartReq()\\n socks_start_req.ParseFromString(request_data)\\n\\n session_id = socks_start_req.Request.SessionID\\n\\n port = socks_start_req.Port\\n\\n with open(self.output_file, 'a') as socks_output:\\n socks_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n socks_output.write(f\\\"\\\\n\\\\tStarted SOCKS listener: {port}\\\\n\\\")\\n\\n elif command == \\\"MsgWGStopSocksReq\\\":\\n socks_stop_req = sliver_pb2.WGSocksStopReq()\\n socks_stop_req.ParseFromString(request_data)\\n\\n session_id = socks_stop_req.Request.SessionID\\n\\n socks_id = socks_stop_req.ID\\n\\n with open(self.output_file, 'a') as socks_output:\\n socks_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n socks_output.write(f\\\"\\\\n\\\\tStopped SOCKS listener: {socks_id}\\\\n\\\")\\n\\n elif command == \\\"MsgWGListForwardersReq\\\":\\n pass\\n\\n elif command == \\\"MsgWGListSocksReq\\\":\\n pass\\n \\n elif command == \\\"MsgPortfwdReq\\\":\\n portfwd_req = sliver_pb2.PortfwdReq()\\n portfwd_req.ParseFromString(request_data)\\n\\n session_id = portfwd_req.Request.SessionID\\n\\n tunnel_id = portfwd_req.TunnelID\\n host = portfwd_req.Host\\n port = portfwd_req.Port\\n proto = portfwd_req.Protocol\\n\\n with open(self.output_file, 'a') as portfwd_output:\\n portfwd_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n portfwd_output.write(f\\\"\\\\n\\\\tStarted port forward:\\\\n\\\")\\n portfwd_output.write(f\\\"\\\\t\\\\tID: {tunnel_id}\\\\t{host}:{port}\\\\t{proto}\\\\n\\\")\\n \\n elif command == \\\"MsgReconnectIntervalReq\\\":\\n interval_req = sliver_pb2.ReconnectIntervalReq()\\n interval_req.ParseFromString(request_data)\\n\\n session_id = interval_req.Request.SessionID\\n\\n interval = interval_req.ReconnectIntervalSeconds\\n\\n with open(self.output_file, 'a') as interval_output:\\n interval_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n interval_output.write(f\\\"\\\\n\\\\tInterval updated to: {interval} seconds\\\\n\\\")\\n\\n elif command == \\\"MsgReconnectInterval\\\":\\n pass\\n \\n elif command == \\\"MsgPollIntervalReq\\\":\\n poll_req = sliver_pb2.ReconnectIntervalReq()\\n poll_req.ParseFromString(request_data)\\n\\n session_id = poll_req.Request.SessionID\\n\\n poll_interval = poll_req.PollIntervalSeconds\\n\\n with open(self.output_file, 'a') as interval_output:\\n interval_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n interval_output.write(f\\\"\\\\tInterval polled to update to: {poll_interval} seconds\\\\n\\\")\\n \\n elif command == \\\"MsgUnsetEnvReq\\\":\\n env_req = sliver_pb2.UnsetEnvReq()\\n env_req.ParseFromString(request_data)\\n\\n session_id = env_req.Request.SessionID\\n\\n env_name = env_req.Name\\n\\n with open(self.output_file, 'a') as env_output:\\n env_output.write(f\\\"\\\\n{request_time}\\\\tSESSIONID: {session_id}\\\\t TASK ID: {task_id}\\\\t TASK: {command}\\\\n\\\")\\n env_output.write(f\\\"\\\\tUnset environment var: {env_name}\\\\n\\\")\",\n \"def read_tweets(filename: TextIO) -> Dict[str, List[tuple]]:\\n \\n #file_tweet = open(filename, 'r')\\n \\n tweet_dict = {} \\n list_tuple = []\\n tuple_tweet = ()\\n text_tweet = ''\\n \\n for lines in filename.readline(): \\n line = lines.strip()\\n if '<<<EOT' not in line:\\n if line != '\\\\n' and line.endswith(':'):\\n username = line[0:line.find(':')].lower()\\n elif line[0:14].isnumeric(): \\n source = line.split(',')\\n date = int(source[FILE_DATE_INDEX])\\n source = source[FILE_SOURCE_INDEX]\\n favourite_count = int(source[FILE_FAVOURITE_INDEX])\\n retweet = int(source[FILE_RETWEET_INDEX])\\n else: \\n text_tweet += line \\n else:\\n tuple_tweet = (text_tweet, date, source,\\n favourite_count, retweet)\\n list_tuple = list_tuple + [tuple_tweet]\\n tweet_dict[username] = list_tuple\\n text_tweet = ''\\n \\n return tweet_dict\",\n \"def parseIdStatus(fname):\\n res = {}\\n if not os.path.isfile(fname):\\n logging.info('%s does not exist' % fname)\\n res['OK'] = []\\n return res\\n for line in open(fname):\\n pmid, status = line.strip().split()[:2]\\n status = status.split('\\\\\\\\')[0]\\n status = status.strip('\\\"')\\n status = status.strip(\\\"'\\\")\\n res.setdefault(status, [])\\n pmid = int(pmid)\\n res[status].append(pmid)\\n\\n return res\",\n \"def read_file(file_path):\\n\\n output_dict = dict()\\n try:\\n if os.path.exists(file_path):\\n with open(file_path) as fd:\\n output = fd.readlines()\\n for idx in range(len(output)):\\n key_info = output[idx].split('=')[0].strip()\\n value_info = output[idx].split('=')[1].strip()\\n output_dict[key_info] = value_info\\n return output_dict\\n except Exception as e:\\n SysTools.logger.warning(\\\"Read file:%s failed, reason:%s\\\" % (file_path, str(e)))\",\n \"def cli(context, repeats_file):\\n\\n repeat_information = {}\\n with open(repeats_file, 'r') as file_handle:\\n repeat_information = parse_repeat_file(file_handle, repeats_file_type='json')\\n\\n if not repeat_information:\\n LOG.warning(\\\"Could not find any repeat info\\\")\\n context.abort()\\n\\n header = [\\\"HGNCId\\\", \\\"LocusId\\\", \\\"DisplayRU\\\", \\\"InheritanceMode\\\", \\\"normal_max\\\", \\\"pathologic_min\\\", \\\"Disease\\\", \\\"SourceDisplay\\\", \\\"SourceId\\\"]\\n table_line = \\\"| {0} | {1} | {2} | {3} | {4} | {5} | {6} | {7} | {8} |\\\"\\n click.echo(table_line.format(\\n header[0], header[1], header[2], header[3], header[4], header[5], header[6], header[7], header[8]\\n ))\\n click.echo(table_line.format('-------', '-------', '-------', '-------', '-------',\\n '-------', '-------', '-------', '-------' ))\\n for entry in repeat_information:\\n click.echo(table_line.format(\\n repeat_information[entry][header[0]],\\n entry,\\n repeat_information[entry][header[2]],\\n repeat_information[entry][header[3]],\\n repeat_information[entry][header[4]],\\n repeat_information[entry][header[5]],\\n repeat_information[entry][header[6]],\\n repeat_information[entry][header[7]],\\n repeat_information[entry][header[8]],\\n ))\",\n \"def parse_test_interactions(test_file):\\n has_action = re.compile(r\\\"^\\\\#\\\\$\\\\s(input|output|verify)\\\\=(.+$)\\\")\\n interactions = {}\\n with open(test_file, 'r') as file:\\n for line_no, line in enumerate(file.readlines(), start=1):\\n check_line = has_action.match(line)\\n if check_line:\\n # interaction key should be the line after the marker\\n # so add 1 to the current line number\\n interactions[(line_no + 1)] = {\\\"action\\\": check_line.group(1),\\n \\\"value\\\": check_line.group(2)}\\n else:\\n if line.startswith(\\\"#$\\\"):\\n exc_msg = [\\n \\\"Improper interaction syntax on\\\",\\n f\\\"line {line_no} in '{test_file}'\\\",\\n ]\\n raise SyntaxWarning(\\\" \\\".join(exc_msg))\\n #print(interactions)\\n return interactions\",\n \"def read_GO_TPM_file(self, *GO_TPM_file):\\n\\n dictionary = {}\\n for i in GO_TPM_file:\\n with open(i, 'r') as f:\\n f = f.readlines()[1:]\\n f = map(lambda x: x.strip(), f)\\n if '_GO.txt' in i:\\n dictionary['GO'] = f\\n else:\\n dictionary['TPM'] = f\\n return(dictionary['GO'], dictionary['TPM'])\",\n \"def read_participant_run(file, task=2, subset=None):\\n annotation_dict = defaultdict(lambda: defaultdict(list))\\n\\n with open(file, 'r') as f:\\n for row in f:\\n row_unrolled = row[:-1].split(';')\\n image_id = row_unrolled[0]\\n if subset and image_id not in subset:\\n continue\\n predictions = row_unrolled[1:]\\n\\n for prediction in predictions:\\n if prediction[-1] == ' ':\\n prediction = prediction[:-1]\\n\\n substrate, polygons = prediction.split(' ')\\n for polygon in polygons.split(','):\\n confidence, values = polygon.split(':')\\n if task == 1:\\n width_height, x_min, y_min = values.split('+')\\n if not width_height or not x_min or not y_min:\\n print(\\\"Couldnt find\\\")\\n print(f\\\"{image_id}, {file}\\\")\\n continue\\n width, height = width_height.split('x')\\n width, height = int(width), int(height)\\n x_min, y_min = int(x_min), int(y_min)\\n x_max = x_min + width\\n y_max = y_min + height\\n\\n processed_polygon = [(x_min, y_min), (x_min, y_max),\\n (x_max, y_max), (x_max, y_min)]\\n elif task == 2:\\n values_list = values.split('+')\\n processed_polygon = [\\n (int(x), int(y))\\n for x, y in zip(values_list[::2], values_list[1::2])\\n ]\\n\\n annotation_dict[image_id][substrate] += [processed_polygon]\\n\\n return annotation_dict\",\n \"def get_prompt(self, timeout=30):\\n #self.tc.expect(self.tool_prompt, timeout=timeout)\\n #self.tf = self.tc.after.split()\\n #return {'status': int(self.tf[self.tool_status_index]), 'output': self.tc.before}\\n output = \\\"\\\"\\n # Loop until we receive the special spt prompt while in pipe mode.\\n while True:\\n line = self.tc.stdout.readline()\\n if re.search(self.tool_prompt, line):\\n self.tf = line.split()\\n break\\n elif not len(line):\\n # We've reached EOF or spt exited abnormally, usually a core dump!\\n raise RuntimeError\\n else:\\n output += line\\n #if self._debug:\\n # print('Response: {0}'.format(self.tf))\\n # print('Output: {0}'.format(output), end=None)\\n #import pdb; pdb.set_trace()\\n return {'status': int(self.tf[self.tool_status_index]), 'output': output}\",\n \"def parse_scp_file(scp_fname) -> Dict[str, List[Tuple[str, str]]]:\\n scp_dict = OrderedDict()\\n with open(scp_fname, \\\"r\\\", encoding=\\\"utf-8\\\") as f:\\n for line in f:\\n uttid, path, loc = parse_scp_line(line)\\n if path not in scp_dict:\\n scp_dict[path] = []\\n scp_dict[path].append((uttid, loc))\\n\\n return scp_dict\",\n \"def read_corr(file):\\n corrTable = open(file, 'r').read()\\n corrTable = corrTable.split('\\\\n')\\n for i in range(4):\\n corrTable[i] = corrTable[i].split(':')\\n corrTable[i][1] = corrTable[i][1].split(',')\\n corr_dict = {}\\n for i in range(4):\\n corr_dict[corrTable[i][0]] = corrTable[i][1]\\n return corr_dict\",\n \"async def parse_files(file):\\n data = yaml.full_load(file)\\n try:\\n new_data = {\\n \\\"task_name\\\": data[\\\"metadata\\\"][\\\"name\\\"],\\n \\\"task_type\\\": data[\\\"kind\\\"],\\n \\\"scheduled_at\\\": data[\\\"spec\\\"].get(\\\"schedule\\\"),\\n }\\n\\n except KeyError as e:\\n raise KeyError(f\\\"Invalid yaml file uploded \\\\n {e}\\\")\\n model = TaskModel(**new_data)\\n return model\",\n \"def readApplication(self, inputFile = 'inputPS7.txt', promptsFile = 'promptsPS7.txt'):\\n inputFileContent = self.getFileContent(inputFile, 'r')\\n promptsFileContent = self.getFileContent(promptsFile, 'r')\\n self.processInputData(inputFileContent)\\n self.clearOutputAndAnalysisFile()\\n self.processPromptsData(promptsFileContent)\",\n \"def get_file_metadata(file, wordlist=None, dictionary=None):\\n if wordlist == None:\\n wordlist = joblib.load('wordlist.pkl')\\n if dictionary == None:\\n dictionary = joblib.load('dict.pkl')\\n utterance = file.split('/')[-1]\\n speaker = utterance.split('_')[0]\\n delimiter = '_'\\n word = wordlist[delimiter.join((utterance.split('_')[1], utterance.split('_')[2]))]\\n phones = dictionary[word.upper()]\\n return {'speaker': speaker, 'word': word, 'phones': phones, 'utterance': utterance[:-4]}\",\n \"def read_data(filename, prefix=None):\\n p_data = {}\\n with open(filename) as f:\\n # This first line is the header for the entire file.\\n line = f.next()\\n line = line.strip()\\n # prev_line = line\\n top_header = line.split(',')\\n if not top_header:\\n # Don't parse this for now.\\n pass\\n # Now read in per-participant data.\\n while True:\\n word_list = []\\n all_words_data = {}\\n # The first line for the participant is a header.\\n try:\\n line = f.next()\\n except StopIteration:\\n # We had previously read everything, so we're done.\\n break\\n line = line.strip()\\n p_header = line.split(',')\\n\\n # The participant's ID # comes first.\\n p_id = p_header[0]\\n if not p_id:\\n # This happens when the previous participant didn't answer.\\n \\\"\\\"\\\"\\n print 'previous line:', prev_line\\n print 'current line:', line\\n print 'p header:', p_header\\n print\\n \\\"\\\"\\\"\\n continue\\n if prefix:\\n p_id = prefix + p_id\\n # print 'SN #', p_id\\n # The number of N/A's this p is at 28.\\n try:\\n p_nas = int(p_header[28])\\n except ValueError:\\n # This happens when an RA messes up the file.\\n \\\"\\\"\\\"\\n print 'nas: previous line:', prev_line\\n print 'nas: current line:', line\\n print 'nas: p header:', p_header\\n print\\n \\\"\\\"\\\"\\n raise\\n # print \\\"NA's: #\\\", p_nas\\n # Check if this participant left everything blank.\\n # XXX: Have to hard-code this.\\n if p_nas == 20:\\n \\\"\\\"\\\"Don't record anything.\\n p_data[p_id] = {'words': None,\\n 'word_data': None,\\n 'nas': None,\\n 'overall': None}\\n \\\"\\\"\\\"\\n continue\\n # The next line after the header has both the data\\n # for the first word and overall statistics.\\n # prev_line = line\\n try:\\n line = f.next()\\n except StopIteration:\\n # We had previously read everything, so we're done.\\n break\\n line = line.strip()\\n word, word_data, overall_data = parse_first_line(line.split(','))\\n word_list.append(word)\\n all_words_data[word] = word_data\\n # Now read data for the rest of the words.\\n for line in f:\\n line = line.strip()\\n word, word_data = parse_data_lines(line.split(','))\\n if word == '':\\n \\\"\\\"\\\"\\n print \\\"loop's previous line:\\\", prev_line\\n print \\\"loop's current line:\\\", line\\n print\\n \\\"\\\"\\\"\\n # prev_line = line\\n break\\n word_list.append(word)\\n all_words_data[word] = word_data\\n # prev_line = line\\n # Compute per-word averages\\n all_total_avg, future_total_avg, past_total_avg = \\\\\\n datacomputer.compute_all_future_past(all_words_data)\\n overall_data['all'] = all_total_avg\\n overall_data['future'] = future_total_avg\\n overall_data['past'] = past_total_avg\\n p_data[p_id] = {'words': word_list,\\n 'word_data': all_words_data,\\n 'nas': p_nas,\\n 'overall': overall_data}\\n # print 'p_data'\\n # print p_data[p_id]\\n # print\\n print \\\"Processed {} participants' data\\\".format(len(p_data))\\n return p_data\",\n \"def get_commands_to_integration(self, file_name, file_path):\\n commands_to_integration = {}\\n for playbook_dict in self.playbook_set:\\n playbook_name = list(playbook_dict.keys())[0]\\n playbook_path = playbook_dict[playbook_name].get(\\\"file_path\\\")\\n is_this_the_playbook = playbook_name == file_name and file_path == playbook_path\\n if is_this_the_playbook:\\n playbook_data = playbook_dict[playbook_name]\\n commands_to_integration = playbook_data.get(\\\"command_to_integration\\\", {})\\n return commands_to_integration\\n return commands_to_integration\",\n \"def _split_raw_file(raw_file: str) -> dict:\\r\\n input_file = raw_file.split(\\\"\\\\n\\\")\\r\\n\\r\\n line_count = 0\\r\\n statements = {}\\r\\n while line_count < len(input_file):\\r\\n line = input_file[line_count]\\r\\n if len(line) == 0:\\r\\n line_count += 1\\r\\n continue\\r\\n else:\\r\\n key = line\\r\\n value = input_file[line_count + 1]\\r\\n statements.update({key: value})\\r\\n line_count += 2\\r\\n return statements\",\n \"def read_env_file(path: str) -> dict: \\n with open(path, 'r') as f:\\n return dict(tuple(line.replace('\\\\n', '').split('=',1)) for line\\n in f.readlines() if not line.startswith('#'))\",\n \"def process_file(path):\\r\\n\\ttokenset = {}\\r\\n\\r\\n\\tfp = open(path, 'r')\\r\\n\\temailMsg = email.message_from_file(fp)\\r\\n\\tfp.close()\\r\\n\\r\\n\\ttokenset = parse_body(emailMsg.get_payload().lower())\\r\\n\\r\\n\\treturn tokenset\",\n \"def return_fasta_dic(file):\\n seq_dict = {rec.id: rec.seq for rec in SeqIO.parse(file, \\\"fasta\\\")}\\n return seq_dict\",\n \"def read_dictionary():\\n\\tglobal dictionary\\n\\twith open(FILE, \\\"r\\\") as f:\\n\\t\\tfor words in f:\\n\\t\\t\\tdictionary += words.split()\",\n \"def load_prompt(name, prompt='', rstrip=True, verbose=True, **format_kwargs):\\n dir_ = Path(f'data/prompts/{name}')\\n prompt_fmt = load(dir_/'prompt.txt')\\n kwargs = load_yaml(dir_/'config.yaml')\\n # If no prompt is passed in, we load the template and store it for later.\\n if prompt:\\n formatter = TASK2FORMATTER.get(name)\\n if formatter:\\n prompt = formatter(prompt_fmt, prompt, **format_kwargs)\\n else:\\n prompt = prompt_fmt.format(prompt)\\n else:\\n prompt = prompt_fmt\\n\\n # Vim adds trailing newline, which can hurt gpt3 quality.\\n if rstrip: prompt = prompt.rstrip()\\n\\n # Pyyaml seems to escape newlines (probably other special characters too\\n # but this is the only one I've used here, I think. Newline chars can be\\n # useful in stop terms because I often use them to distinguish between\\n # different examples in a prompt.\\n if 'stop' in kwargs:\\n kwargs['stop'] = [x.replace('\\\\\\\\n', '\\\\n') for x in kwargs['stop']]\\n kwargs['prompt'] = prompt\\n msg = kwargs.pop('reminder', None)\\n if msg and verbose: print(f'{name}: {msg}{spacer()}')\\n return kwargs\",\n \"def auto_detect_pairs(files, prompt):\\n\\n # \\\"intelligently\\\" find paired files and tuple them\\n paired_files = []\\n single_files = set(files)\\n\\n for filename in files:\\n # convert \\\"read 1\\\" filenames into \\\"read 2\\\" and check that they exist; if they do\\n # upload the files as a pair, autointerleaving them\\n paired_filename = re.sub(r\\\"([._][Rr])1([._][\\\\w.]+)$\\\", r\\\"\\\\g<1>2\\\\g<2>\\\", filename)\\n paired_filename = re.sub(r\\\"([._])1([._][\\\\D._]+)$\\\", r\\\"\\\\g<1>2\\\\g<2>\\\", paired_filename)\\n\\n # we don't necessary need the R2 to have been passed in; we infer it anyways\\n if paired_filename != filename and os.path.exists(paired_filename):\\n if not prompt and paired_filename not in single_files:\\n # if we're not prompting, don't automatically pull in files\\n # not in the list the user passed in\\n continue\\n\\n paired_files.append((filename, paired_filename))\\n\\n if paired_filename in single_files:\\n single_files.remove(paired_filename)\\n\\n single_files.remove(filename)\\n\\n auto_pair = True\\n\\n if prompt and len(paired_files) > 0:\\n pair_list = \\\"\\\"\\n for p in paired_files:\\n pair_list += \\\"\\\\n {} & {}\\\".format(os.path.basename(p[0]), os.path.basename(p[1]))\\n\\n answer = click.confirm(\\n \\\"It appears there are {n_paired_files} paired files (of {n_files} total):{pair_list}\\\\nInterleave them after upload?\\\".format(\\n n_paired_files=len(paired_files) * 2,\\n n_files=len(paired_files) * 2 + len(single_files),\\n pair_list=pair_list,\\n ),\\n default=\\\"Y\\\",\\n )\\n\\n if not answer:\\n auto_pair = False\\n\\n if auto_pair:\\n return paired_files + list(single_files)\\n else:\\n return files\",\n \"def load_customs_declarations():\\n data = None\\n with open(\\\"customs-responses.txt\\\") as f:\\n data = f.read()\\n return data\",\n \"def parse(filename):\\n with open(filename) as file:\\n contents = file.read()\\n lines = contents.split(\\\"\\\\n\\\") # Python reads all endings by default as \\\\n\\n res = {}\\n for line in lines:\\n if line.startswith(\\\"#\\\") or line == \\\"\\\":\\n continue\\n x = line.split(\\\":\\\")\\n if x[1] != '':\\n res[int(x[0])] = x[1]\\n return res\",\n \"def user_defined_descriptions(path):\\n try:\\n lines = [line.rstrip() for line in open(path).readlines()]\\n return dict([x.split(maxsplit=1) for x in lines])\\n except FileNotFoundError:\\n return dict()\",\n \"def get_data_for_task_manager(data: dict) -> dict:\\n if check_host(data['hostIp']):\\n command = f\\\"ssh user@{data['hostIp']} -i ../id_rsa 'C:\\\\Setup\\\\{data['scriptName']}'\\\"\\n dict_from_device = check_response_from_device(start_process_on_device(command))\\n if dict_from_device[\\\"stringFromDevice\\\"] == \\\"correct\\\": \\n dict_from_device[\\\"resultRequest\\\"] = True\\n return dict_from_device\\n return dict(resultRequest=False)\",\n \"def get_tasks(self) -> Dict[str, Any]:\\n\\n ret = {}\\n for k, id in self.required_tasks.items():\\n ret[k] = self.storage_socket.get_procedures(id=id)[\\\"data\\\"][0]\\n\\n return ret\",\n \"def load_tasks(self):\\n\\n def _load_tasks(filename):\\n filename = os.path.join(self.config['data']['location'], filename)\\n filename = os.path.expanduser(filename)\\n with open(filename, 'r') as f:\\n lines = f.readlines()\\n\\n return list(map(taskw.utils.decode_task, lines))\\n\\n return dict(\\n (db, _load_tasks('%s.data' % db))\\n for db in ['completed', 'pending']\\n )\",\n \"def _read_conll(cls, input_file):\\n #def read_conll(input_file):\\n sents = []\\n sent, labels = [], []\\n for line in open(input_file):\\n if line.startswith(\\\"# sent_id\\\"):\\n current_id = line.strip().split(\\\" = \\\")[1]\\n elif line.strip() == \\\"\\\":\\n if len(sent) > 0:\\n sents.append((current_id, sent, labels))\\n sent, labels = [], []\\n else:\\n token, label = line.strip().split(\\\"\\\\t\\\")\\n sent.append(token)\\n labels.append(label)\\n return sents\",\n \"def _parse(file_contents):\\n\\n if file_contents is None or file_contents == '':\\n return {}\\n\\n result = {}\\n\\n for line in file_contents.splitlines():\\n # Full line comment\\n if line[:1] == '#':\\n continue\\n\\n parts = line.split('=', 1)\\n\\n # Not a full key-value pair.\\n if len(parts) < 2:\\n continue\\n\\n result[parts[0].strip()] = parts[1].strip()\\n\\n return result\",\n \"def processfile(jobfile) :\\n\\n jobdict = {}\\n\\n f = open(jobfile) \\n line = f.readline()\\n\\n\\n while line !=\\\"\\\":\\n #strip comments\\n actual = line.split(\\\"#\\\")[0] \\n if len(actual) != 0 :\\n if \\\"=\\\" in actual:\\n #print \\\"The string is \\\", actual\\n readjob(actual, jobdict)\\n\\n line = f.readline()\\n\\n f.close()\\n return jobdict\",\n \"def _read_input(self, in_file):\\n result = {}\\n with open(in_file, \\\"r\\\") as f:\\n reader = csv.DictReader(f, delimiter=str(\\\"\\\\t\\\"))\\n for row in reader:\\n result[row[\\\"accession\\\"]] = {\\n \\\"transcript_sequence\\\": row[\\\"transcript_sequence\\\"],\\n \\\"cds_start_i\\\": int(row[\\\"cds_start_i\\\"]),\\n \\\"cds_end_i\\\": int(row[\\\"cds_end_i\\\"]),\\n }\\n\\n return result\",\n \"def ReadFromFile(self):\\n\\n data = \\\"\\\"\\n try:\\n with open(self.fileLoc, \\\"r\\\") as file:\\n data += file.read()\\n except IOError:\\n with open(self.fileLoc, \\\"w\\\") as file:\\n file.write(\\\" \\\")\\n return {}\\n \\n if len(data) == 0:\\n return {}\\n\\n data = self.Decrypt(data)\\n\\n data = \\\"\\\".join(data.split())\\n kvstrings = data.split(\\\"%\\\")\\n kvstrings = filter(None, kvstrings)\\n\\n pairs = {}\\n for x in kvstrings:\\n kv = x.split(\\\":\\\")\\n pairs[kv[0]] = kv[1]\\n\\n return pairs\",\n \"def get_keys(self, file_path=None):\\n self.twitter_keys = dict()\\n if file_path is None:\\n file_path = 'twitterKeys.txt'\\n try:\\n with open(file_path, 'r') as f:\\n for line in f:\\n key, val = line.split(':')\\n self.twitter_keys[key] = val[:-1]\\n except OSError:\\n raise OSError\",\n \"def get_data(fname: str) -> dict:\\n with open(fname) as f:\\n return [rec.split() for rec in f.read().split(\\\"\\\\n\\\\n\\\")]\",\n \"def get_keys_tasks(self):\\n keys_task = []\\n scanned_task = []\\n\\n with open(self.path_to_task_file, 'r') as file:\\n for line in file:\\n task = Task()\\n task.load(line)\\n keys_task.append(task.key)\\n scanned_task.append(line)\\n\\n self.save_scanned_tasks(scanned_task) # return unsuccessful tasks in file\\n return keys_task\",\n \"def read(self):\\n dictionary = {}\\n with open(self.path) as file:\\n key_header = \\\"\\\"\\n for line in file:\\n entry = line.strip().split()\\n if len(entry) == 0:\\n continue\\n if len(entry) == 1:\\n key_header = entry[0]+\\\"_\\\"\\n else:\\n key = entry[0].strip()\\n value = reduce(lambda x1, y1: x1+\\\" \\\" + y1, entry[1:])\\n dictionary[key_header+key] = value\\n return dictionary\",\n \"def _read_profile_file(cls, profile_file):\\n qid2title: Dict[str, str] = {}\\n qid2desc: Dict[str, str] = {}\\n alias2qids: Dict[str, list] = {}\\n type_systems: Dict[str, Dict[str, List[str]]] = {}\\n qid2relations: Dict[str, Dict[str, List[str]]] = {}\\n\\n num_lines = sum(1 for _ in open(profile_file))\\n with open(profile_file, \\\"r\\\") as in_f:\\n for line in tqdm(in_f, total=num_lines, desc=\\\"Reading profile\\\"):\\n line = ujson.loads(line)\\n\\n # Check keys and schema\\n assert all(\\n k in line.keys() for k in REQUIRED_KEYS\\n ), f\\\"A key from {REQUIRED_KEYS} was not in {line}\\\"\\n try:\\n # Asserts the types are correct\\n ent = EntityObj(\\n entity_id=line[\\\"entity_id\\\"],\\n mentions=line[\\\"mentions\\\"],\\n title=line.get(\\\"title\\\", line[\\\"entity_id\\\"]),\\n description=line.get(\\\"description\\\", \\\"\\\"),\\n types=line.get(\\\"types\\\", {}),\\n relations=line.get(\\\"relations\\\", []),\\n )\\n except ValidationError as e:\\n print(e.json())\\n raise e\\n if ent.entity_id in qid2title:\\n raise ValueError(f\\\"{ent.entity_id} is already in our dump\\\")\\n qid2title[ent.entity_id] = ent.title\\n qid2desc[ent.entity_id] = ent.description\\n # For each [mention, score] value, create a value of mention -> [qid, score] in the alias2qid dict\\n for men_pair in ent.mentions:\\n # Lower case mentions for mention extraction\\n new_men = get_lnrm(men_pair[0], strip=True, lower=True)\\n if new_men not in alias2qids:\\n alias2qids[new_men] = []\\n alias2qids[new_men].append([ent.entity_id, men_pair[1]])\\n # Add type systems of type_sys -> QID -> list of type names\\n for type_sys in ent.types:\\n if type_sys not in type_systems:\\n type_systems[type_sys] = {}\\n type_systems[type_sys][ent.entity_id] = ent.types[type_sys]\\n # Add kg relations QID -> relation -> list of object QIDs\\n for rel_pair in ent.relations:\\n if \\\"relation\\\" not in rel_pair or \\\"object\\\" not in rel_pair:\\n raise ValueError(\\n \\\"For each value in relations, it must be a JSON with keys relation and object\\\"\\n )\\n if ent.entity_id not in qid2relations:\\n qid2relations[ent.entity_id] = {}\\n if rel_pair[\\\"relation\\\"] not in qid2relations[ent.entity_id]:\\n qid2relations[ent.entity_id][rel_pair[\\\"relation\\\"]] = []\\n qid2relations[ent.entity_id][rel_pair[\\\"relation\\\"]].append(\\n rel_pair[\\\"object\\\"]\\n )\\n\\n # Sort mentions based on score, highest first\\n for al in list(alias2qids.keys()):\\n alias2qids[al] = sorted(alias2qids[al], key=lambda x: x[1], reverse=True)\\n # Add all qids to the type systems and KG connections with empty values\\n # This isn't strictly required but can make the sets more clean as they'll have consistent keys\\n for qid in qid2title:\\n for type_sys in type_systems:\\n if qid not in type_systems[type_sys]:\\n type_systems[type_sys][qid] = []\\n if qid not in qid2relations:\\n qid2relations[qid] = {}\\n return qid2title, qid2desc, alias2qids, type_systems, qid2relations\",\n \"def parse(self, *_args, **_kwargs):\\n cli_output = self._task_args.get(\\\"text\\\")\\n res = self._check_reqs()\\n if res.get(\\\"errors\\\"):\\n return {\\\"errors\\\": res.get(\\\"errors\\\")}\\n\\n template_path = self._task_args.get(\\\"parser\\\").get(\\\"template_path\\\")\\n if template_path and not os.path.isfile(template_path):\\n return {\\n \\\"error\\\": \\\"error while reading template_path file {file}\\\".format(\\n file=template_path\\n )\\n }\\n try:\\n template = open(self._task_args.get(\\\"parser\\\").get(\\\"template_path\\\"))\\n except IOError as exc:\\n return {\\\"error\\\": to_native(exc)}\\n\\n re_table = textfsm.TextFSM(template)\\n fsm_results = re_table.ParseText(cli_output)\\n\\n results = list()\\n for item in fsm_results:\\n results.append(dict(zip(re_table.header, item)))\\n\\n return {\\\"parsed\\\": results}\",\n \"def readTemplate(self, file):\\n templates = {}\\n doc = ElementTree.parse(file)\\n entries = doc.findall(\\\"entry\\\")\\n for entry in entries:\\n templates[entry.find(\\\"trigger\\\").text] = [entry.find(\\\"description\\\").text,\\n entry.find(\\\"template\\\").text]\\n self._convertTabs(templates)\\n return templates\",\n \"def getSHSCliques():\\n m = getSHSIDDict()\\n fin = open(\\\"SHSDataset/Chromas/shs_nodup.txt\\\")\\n cliques = {}\\n currClique = \\\"\\\"\\n for l in fin.readlines():\\n l = l.rstrip()\\n if l[0] == '%':\\n currClique = l[1::]\\n cliques[currClique] = []\\n else:\\n cliques[currClique].append(m[l])\\n fin.close()\\n return cliques\",\n \"def read_request(inFile):\\n\\treq = {}\\n\\twith open(inFile) as f:\\n \\t\\tfor line in f:\\n\\t\\t\\tkv = line.split()\\t\\t\\t\\n \\t\\tk, v = kv[0], kv[1:]\\n \\t\\t\\treq[k] = v\\n\\treturn req\",\n \"def read_lexicon():\\n # path = 'mpqa_full.txt'\\n\\n path_list = ['mpqa_full.txt', 'sent_lexicon_14semeval_laptop.txt',\\n 'sent_lexicon_15semeval_rest.txt',\\n 'sent_lexicon_16semeval_rest.txt']\\n sent_lexicon = {}\\n for path in path_list:\\n with open('work/lexicon/'+path) as fp:\\n for line in fp:\\n word, polarity = line.strip().split('\\\\t')\\n if word not in sent_lexicon:\\n sent_lexicon[word] = int(polarity)\\n fp.close()\\n\\n return sent_lexicon\",\n \"def get_account_info(full_path):\\n to_phone_number = \\\"\\\"\\n from_phone_number = \\\"\\\"\\n account_sid = \\\"\\\"\\n auth_token = \\\"\\\"\\n\\n print(\\\"\\\\nWelcome to tell-me-when! This appears to be the first time using this tool, or maybe you haven't successfully setup a default configuration yet.\\\\n\\\")\\n print(\\\"In order to get started, you'll need to provide a valid twilio account SID and auth token as well as a default phone number to send alerts to.\\\\n\\\")\\n print(\\\"After providing them, a JSON-configuration file will be saved in ~/.config/twm \\\\n\\\\nLet's get started:\\\\n\\\")\\n\\n prompt_account_sid = \\\"Enter your account SID, this can be found at https://twilio.com/console\\\"\\n prompt_auth_token = \\\"Enter your auth token, this can be found at https://twilio.com/console\\\"\\n prompt_from_phone_number = \\\"Enter the 10-digit internationally formatted phone number you created with twilio , Ex. For the United States: \\\"\\\"+1 123 456 7890\\\"\\\"\\\"\\n prompt_to_phone_number = \\\"Enter the 10-digit internationally formatted phone number you wish to send alerts TO, Ex. For the United States: \\\"\\\"+1 123 456 7890\\\"\\\"\\\"\\n\\n print(prompt_account_sid)\\n while not account_sid:\\n account_sid = input()\\n\\n print(prompt_auth_token)\\n while not auth_token:\\n auth_token = input()\\n\\n print(prompt_from_phone_number)\\n while not from_phone_number:\\n from_phone_number = input()\\n\\n print(prompt_to_phone_number)\\n while not to_phone_number:\\n to_phone_number = input()\\n\\n while not is_valid_phone_number(from_phone_number):\\n print(\\\"INPUT ERROR:Invalid Phone Number\\\")\\n print(prompt_from_phone_number)\\n from_phone_number = input()\\n\\n while not is_valid_phone_number(to_phone_number):\\n print(\\\"INPUT ERROR:Invalid Phone Number\\\")\\n print(prompt_to_phone_number)\\n to_phone_number = input()\\n\\n account_dict = {'account_sid': account_sid,\\n 'auth_token': auth_token,\\n 'to_phone_number': to_phone_number,\\n 'from_phone_number': from_phone_number}\\n\\n with open(full_path, 'w') as config_file:\\n config_file.write(\\\"\\\")\\n json.dump(account_dict, config_file)\\n\\n with open(full_path) as file:\\n config = json.load(file)\\n load_json_and_arguments(config)\",\n \"def env(fd=sys.stdin):\\n vars = {}\\n while True:\\n line = fd.readline().strip()\\n if line == '':\\n break\\n key, data = (i.strip() for i in line.split(':'))\\n if key != '':\\n vars[key] = data\\n \\n return vars\",\n \"def _build_participant_pairing_map(self, files: List[ConsentFile]) -> Dict[int, ParticipantPairingInfo]:\\n participant_ids = {file.participant_id for file in files}\\n participant_pairing_data = self.participant_dao.get_pairing_data_for_ids(participant_ids)\\n return {\\n participant_id: ParticipantPairingInfo(hpo_name=hpo_name, org_name=org_name, site_name=site_name)\\n for participant_id, hpo_name, org_name, site_name in participant_pairing_data\\n }\",\n \"def workflow_direct_readme_dtool_task_spec(dtool_smb_config):\\n return {\\n 'dtool_config': dtool_smb_config,\\n 'stored_data': True,\\n 'uri': 'smb://test-share/1a1f9fad-8589-413e-9602-5bbd66bfe675',\\n 'output': 'metadata',\\n 'metadata_fw_source_key': 'metadata',\\n 'fw_supersedes_dtool': True,\\n 'metadata_dtool_exclusions': {'expiration_date': True},\\n \\\"metadata_fw_exclusions\\\": {'description': True},\\n 'loglevel': logging.DEBUG\\n }\",\n \"async def load(self, file: IO) -> dict:\",\n \"def parse_qiime_config_file(qiime_config_file):\\r\\n result = {}\\r\\n for line in qiime_config_file:\\r\\n line = line.strip()\\r\\n # ignore blank lines or lines beginning with '#'\\r\\n if not line or line.startswith('#'):\\r\\n continue\\r\\n fields = line.split()\\r\\n param_id = fields[0]\\r\\n param_value = expandvars(' '.join(fields[1:])) or None\\r\\n result[param_id] = param_value\\r\\n return result\",\n \"def read_stream(stream, prefix=None):\\n f = stream.splitlines()\\n p_data = {}\\n # This first line is the header for the entire file.\\n try:\\n line = f.pop(0)\\n except IndexError:\\n print 'datareader.read_stream(): Empty file.'\\n # XXX: Haven't decided how to handle all the potential errors.\\n raise\\n line = line.strip()\\n # prev_line = line\\n top_header = line.split(',')\\n if not top_header:\\n # Don't parse this for now.\\n pass\\n # Now read in per-participant data.\\n while True:\\n word_list = []\\n all_words_data = {}\\n # The first line for the participant is a header.\\n try:\\n line = f.pop(0)\\n except IndexError:\\n # We had previously read everything, so we're done.\\n break\\n line = line.strip()\\n p_header = line.split(',')\\n\\n # The participant's ID # comes first.\\n p_id = p_header[0]\\n if not p_id:\\n # This happens when the previous participant didn't answer.\\n \\\"\\\"\\\"\\n print 'previous line:', prev_line\\n print 'current line:', line\\n print 'p header:', p_header\\n print\\n \\\"\\\"\\\"\\n continue\\n if prefix:\\n p_id = prefix + p_id\\n # print 'SN #', p_id\\n # The number of N/A's this p is at 28.\\n try:\\n p_nas = int(p_header[28])\\n except ValueError:\\n # This happens when an RA messes up the file.\\n \\\"\\\"\\\"\\n print 'nas: previous line:', prev_line\\n print 'nas: current line:', line\\n print 'nas: p header:', p_header\\n print\\n \\\"\\\"\\\"\\n raise\\n # print \\\"NA's: #\\\", p_nas\\n # Check if this participant left everything blank.\\n # XXX: Have to hard-code this.\\n if p_nas == 20:\\n p_data[p_id] = {'words': None,\\n 'word_data': None,\\n 'nas': None,\\n 'overall': None}\\n continue\\n # The next line after the header has both the data\\n # for the first word and overall statistics.\\n # prev_line = line\\n try:\\n line = f.pop(0)\\n except StopIteration:\\n # We had previously read everything, so we're done.\\n break\\n line = line.strip()\\n word, word_data, overall_data = parse_first_line(line.split(','))\\n word_list.append(word)\\n all_words_data[word] = word_data\\n # Now read data for the rest of the words.\\n for line in f:\\n line = line.strip()\\n word, word_data = parse_data_lines(line.split(','))\\n if word == '':\\n \\\"\\\"\\\"\\n print \\\"loop's previous line:\\\", prev_line\\n print \\\"loop's current line:\\\", line\\n print\\n \\\"\\\"\\\"\\n # prev_line = line\\n break\\n word_list.append(word)\\n all_words_data[word] = word_data\\n # prev_line = line\\n # Compute per-word averages\\n all_total_avg, future_total_avg, past_total_avg = \\\\\\n datacomputer.compute_all_future_past(all_words_data)\\n overall_data['all'] = all_total_avg\\n overall_data['future'] = future_total_avg\\n overall_data['past'] = past_total_avg\\n p_data[p_id] = {'words': word_list,\\n 'word_data': all_words_data,\\n 'nas': p_nas,\\n 'overall': overall_data}\\n # print 'p_data'\\n # print p_data[p_id]\\n # print\\n print \\\"Processed {} participants' data\\\".format(len(p_data))\\n return p_data\",\n \"def get_completion_data_for_file(fn):\\n app_to_translations = {}\\n\\n lang = get_language(fn)\\n\\n try:\\n pofile = polib.pofile(fn)\\n except IOError as ioe:\\n print 'Error opening file: {fn}'.format(fn=fn)\\n print ioe.message\\n return 1\\n\\n for poentry in pofile:\\n if poentry.obsolete:\\n continue\\n\\n for occ in poentry.occurrences:\\n path = occ[0].split(os.sep)\\n if path[0] == 'kitsune':\\n path = path[1]\\n else:\\n path = 'vendor/' + path[2]\\n app_to_translations.setdefault(\\n path, []).append(poentry.translated())\\n\\n all_total = 0\\n all_translated = 0\\n\\n data = {}\\n for app, tr_list in app_to_translations.items():\\n total = len(tr_list)\\n translated = len([tr for tr in tr_list if tr])\\n\\n data[app] = {\\n 'total': total,\\n 'translated': translated,\\n }\\n\\n all_total += total\\n all_translated += translated\\n\\n return {\\n lang: {\\n 'total': all_total,\\n 'translated': all_translated,\\n 'apps': data\\n }\\n }\",\n \"def speech_response_prompt(output, reprompt_text, endsession):\\n\\n return {\\n 'outputSpeech': {\\n 'type': 'PlainText',\\n 'text': output\\n },\\n 'reprompt': {\\n 'outputSpeech': {\\n 'type': 'PlainText',\\n 'text': reprompt_text\\n }\\n },\\n 'shouldEndSession': endsession\\n }\",\n \"def speech_response_prompt(output, reprompt_text, endsession):\\n\\n return {\\n 'outputSpeech': {\\n 'type': 'PlainText',\\n 'text': output\\n },\\n 'reprompt': {\\n 'outputSpeech': {\\n 'type': 'PlainText',\\n 'text': reprompt_text\\n }\\n },\\n 'shouldEndSession': endsession\\n }\",\n \"def read_files_to_dict(dir_path):\\n conversations = {}\\n for filename in os.listdir(dir_path):\\n if filename.endswith(\\\".txt\\\") and '-' not in filename:\\n file_path = os.path.abspath(os.path.join(dir_path, filename))\\n with open(file_path, 'r') as f:\\n x = f.readlines()\\n content_unicode = unicode(x[0], encoding='utf-8', errors='replace')\\n if not filename in conversations:\\n conversations[filename.split('.txt')[0]] = content_unicode\\n return conversations\",\n \"def getResponses(all_words_flag = False,\\n\\t\\t\\t\\t data_folder = '/Participant_Data',\\n\\t\\t\\t\\t filetype = '.csv'):\\n\\tparticipant_data = {}\\n\\tif all_words_flag:\\n\\t\\tall_words = []\\n\\tfor file in glob.glob(os.getcwd() + data_folder + \\\"/*\\\" + filetype):\\n\\t\\twith open(file, 'r') as f:\\n\\t\\t\\tcontents = csv.reader(f)\\n\\t\\t\\tparticipant_data[file] = list(contents)[0] # Set to only take the first column due to structure of my .csv files\\n\\t\\t\\tif all_words_flag:\\n\\t\\t\\t\\tall_words = all_words + participant_data[file]\\n\\t# Other filetypes are easy to write. Use same general function, usually, and use f.readlines()\\n\\tif all_words_flag:\\n\\t\\tall_words = list(set(all_words))\\n\\t\\treturn participant_data, all_words\\n\\treturn participant_data\",\n \"def parse_synset_mapping(\\n synset_mapping_filename: Union[Path, str]\\n) -> Tuple[List[str], Dict[str, str]]:\\n synset_mapping = {}\\n synsets = []\\n with open(synset_mapping_filename, \\\"r\\\") as f:\\n for line in f:\\n synset, name = line.rstrip().split(' ', maxsplit=1)\\n synsets.append(synset)\\n synset_mapping[synset] = name\\n return synsets, synset_mapping\",\n \"def process_data (file):\\n\\n twitter_data = {}\\n\\n username = file.readline().strip()\\n\\n while username != '': # leave when all lines of the file have been read\\n # initialize everything we need for entering data\\n twitter_data [username] = {}\\n twitter_data [username] ['bio'] = ''\\n twitter_data [username] ['following'] = []\\n\\n twitter_data [username] ['name'] = file.readline().strip()\\n twitter_data [username] ['location'] = file.readline().strip()\\n twitter_data [username] ['web'] = file.readline().strip()\\n\\n bio = file.readline() # get the first line of the bio\\n while bio.strip() != 'ENDBIO': # go until we get the line 'ENDBIO'\\n twitter_data [username] ['bio'] += bio.strip() + '\\\\n'\\n bio = file.readline()\\n # we dont want the final '\\\\n' in the bio so we splice it\\n twitter_data [username] ['bio'] = twitter_data [username] ['bio'] [:-1]\\n\\n following = file.readline() # get the first element for the list\\n while following.strip() != 'END': # go until we get the line 'END'\\n twitter_data [username] ['following'].append (following.strip())\\n following = file.readline()\\n\\n username = file.readline().strip()\\n return twitter_data\",\n \"def read_label_file(file_path):\\n with open(file_path, 'r', encoding='utf-8') as f:\\n lines = f.readlines()\\n ret = {}\\n for row_number, content in enumerate(lines):\\n pair = re.split(r'[:\\\\s]+', content.strip(), maxsplit=1)\\n if len(pair) == 2 and pair[0].strip().isdigit():\\n ret[int(pair[0])] = pair[1].strip()\\n else:\\n ret[row_number] = pair[0].strip()\\n return ret\",\n \"def get_messages(file: str, section: str = \\\"\\\") -> dict:\\n if type(file) is not str:\\n raise ValueError(\\\"file must be a string value\\\")\\n if type(section) is not str:\\n raise ValueError(\\\"section must be a string value\\\")\\n else:\\n return json.load(\\n open(\\\"messages/{section}{file}.json\\\".format(section=section + \\\"/\\\", file=file), encoding=\\\"utf-8\\\"))\",\n \"def get_aliases(txtfile='aliases.txt'):\\n alias_dict = {}\\n with open(txtfile) as f:\\n next(f) # Skip header\\n for line in f:\\n names = line.strip().split(',')\\n for name in names[1:]:\\n # Aliases are defined in the text file as the second name onwards\\n alias_dict[name.strip()] = names[0]\\n return alias_dict\",\n \"async def read_entities(self, file=\\\"entities.json\\\") -> dict:\\n try:\\n input = open(file, \\\"r\\\")\\n entity_dict = json.load(input)\\n input.close()\\n except:\\n # complain goes here as well\\n print(\\\"Error: File does not exist! Skipping\\\")\\n entity_dict = {}\\n\\n return entity_dict\",\n \"def create_dict_from_file(filename):\\n # Reads file\\n f = open(filename, 'r')\\n # Defines blank dictionary\\n d = {}\\n # Iterates for transaction id, line items and initializes counter (enumerate) function.\\n for tids, line_items in enumerate(f):\\n # Creates a dictionary with a key of d and a value of 'tids.'\\n # Strips white space and splits strings into individual letters.\\n d[tids+1] = [j.rstrip() for j in line_items.split(' ')\\n if j != '\\\\n']\\n # Defines blank dictionary 'p.'\\n p = {}\\n # Iterates for the key and value in dictionary d with key items.\\n for key, value in d.items():\\n # Iterates for item in value.\\n for item in value:\\n # Conditional logic: if item exists in the newly formed p dictionary, adds a new key to the dictionary.\\n if item in p:\\n p[item].add(key)\\n # Else: If item does not exist, store a key.\\n else:\\n p[item] = {key}\\n # Collections/ordered dict function specifies how to store items in output list.\\n P = collections.OrderedDict(sorted(p.items(), key=lambda t: len(t[1])))\\n return P\",\n \"def read_dialog(file):\\n with codecs.open(file, 'r', 'utf-8') as f:\\n contents = [i.strip() for i in f.readlines() if len(i.strip()) != 0]\\n return [json.loads(i) for i in contents]\",\n \"def read(data=None):\\n\\n import subprocess\\n\\n # get live info\\n if data is None:\\n data = subprocess.check_output('squeue -o \\\"%all\\\"', shell=True).decode(\\\"utf-8\\\")\\n\\n # extract the header and the info\\n head, data = data.split(\\\"\\\\n\\\", 1)\\n data = list(filter(None, data.split(\\\"\\\\n\\\")))\\n\\n # get the field-names\\n head = head.split(\\\"|\\\")\\n\\n # convert name (bug in slurm)\\n # Bug #4948, https://bugs.schedmd.com\\n idx = [i for i, key in enumerate(head) if key.strip() == \\\"USER\\\"]\\n if len(idx) > 1:\\n head[idx[1]] = \\\"USER_ID\\\"\\n\\n # convert to list of dictionaries\\n # - initialize\\n lines = []\\n # - loop over lines\\n for line in data:\\n # -- initialize empty dictionary\\n info = {}\\n # -- fill dictionary\\n for key, val in zip(head, line.split(\\\"|\\\")):\\n if len(key.strip()) > 0:\\n info[key.strip()] = val.strip()\\n # -- store to list of lines\\n lines += [info]\\n\\n # return output\\n return lines\",\n \"def process_data(file: TextIO) -> 'Climatematch':\\n climate_dict = {}\\n line = file.readline()\\n \\n while line != '':\\n username = line.strip()\\n climate_dict[username] = {}\\n \\n line = file.readline().strip()\\n climate_dict[username]['name'] = line\\n line = file.readline().strip()\\n climate_dict[username]['location'] = line\\n \\n climate_dict[username]['bio'] = ''\\n line = file.readline()\\n while line != 'ENDBIO\\\\n': \\n climate_dict[username]['bio'] += line\\n line = file.readline()\\n \\n climate_dict[username]['skills'] = []\\n line = file.readline().strip()\\n while line != 'ENDSKILL': \\n climate_dict[username]['skills'].append(line)\\n line = file.readline().strip()\\n \\n climate_dict[username]['interest'] = []\\n line = file.readline().strip() \\n while line != 'END': \\n climate_dict[username]['interest'].append(line)\\n line = file.readline().strip()\\n line = file.readline()\\n \\n return climate_dict\",\n \"def _read_seeds():\\n seed_map = {}\\n with open(question_seeds) as f:\\n for line in f:\\n qId, seeds = line.strip(\\\"\\\\n\\\").split(\\\"\\\\t\\\")\\n #seed_map[qId] = [seeds.split(\\\",\\\", 1)[0].split(\\\"=\\\")[0]]\\n seed_map[qId] = [seed.split(\\\"=\\\")[0]\\n for seed in seeds.split(\\\",\\\") if seed]\\n return seed_map\",\n \"def pre_process(fname, num_ex, alt_speaker):\\n conversation = []\\n with PathManager.open(fname) as f:\\n lines = f.readlines()\\n random.shuffle(lines)\\n lines = lines[:num_ex]\\n for line in lines:\\n data = json.loads(line)\\n dialogue = data[\\\"dialog\\\"]\\n for item in dialogue:\\n speaker = item[0]['id']\\n text = item[0]['text']\\n conversation += [(speaker, text)]\\n conversation += [(END_OF_CONVO, END_OF_CONVO)]\\n\\n return conversation\",\n \"def readfile(filename):\\n\\n\\tfile = open(filename, \\\"rt\\\")\\n\\n\\tretval = {}\\n\\n\\tT = int(file.readline().strip())\\n\\tretval['T'] = T\\n\\n\\ttests = []\\n\\n\\tfor i in xrange(T):\\n\\t\\tline = file.readline().strip()\\n\\n\\t\\tparts = line.split(\\\" \\\")\\n\\n\\t\\tN = int(parts[0])\\n\\t\\tS = int(parts[1])\\n\\t\\tp = int(parts[2])\\n\\t\\tt = []\\n\\n\\t\\tfor j in xrange(N):\\n\\t\\t\\tt = t + [int(parts[3 + j]), ]\\n\\n\\t\\ttest = { 'N' : N, 'S': S, 'p' : p, 't' : t }\\n\\t\\ttests = tests + [test, ]\\n\\n\\tretval['tests'] = tests\\n\\treturn retval\",\n \"def read_answers(path: str):\\n if not os.path.exists(path):\\n raise FileNotFoundError(\\\"file {} does not exists\\\".format(path))\\n\\n collection = {}\\n with open(path, 'r') as file:\\n for l in file.readlines():\\n split = l.split(' ')\\n index, doc_id = int(split[0]), int(split[1])\\n if not collection.get(index):\\n collection[index] = [doc_id]\\n else:\\n collection[index] += [doc_id]\\n\\n return collection\",\n \"def read_utterances_from_files(session_folder, voice_sample_folder):\\n utterance_content = []\\n dialog_act = []\\n\\n with open('../test/data/' + session_folder + '/' + voice_sample_folder + '/label.json') as label_data:\\n label = json.load(label_data)\\n\\n for j in range(len(label['turns'])):\\n utterance_content += [label['turns'][j]['transcription']]\\n dialog_act += [label['turns'][j]['semantics']['cam']]\\n\\n session_id = label['session-id']\\n return [dialog_act, utterance_content, session_id]\",\n \"def do_prompt(self):\\n # we need _something_ in the dictionary even if the user decides to use all defaults\\n # otherwise for some unknown reason it won't work\\n user_in = {'__meta__': '__user_input__'}\\n\\n print('Please enter the information asked for in the following prompts in order to configure your deployment')\\n # get the config information from the user\\n for p in self.prompts:\\n answer = input(p['prompt'])\\n if len(answer.strip()) > 0 and 'variable' in p.keys():\\n user_in[p['variable']] = answer\\n\\n # return the data\\n return user_in\",\n \"def parse_identifying_data(path, passwd, embedded_file='participants.txt'):\\n if path is not None:\\n zf = zipfile.ZipFile(path)\\n zf.setpassword(passwd)\\n\\n participants = {}\\n for l in zf.read(embedded_file).splitlines():\\n if l.startswith('#'):\\n continue\\n\\n bc, name = l.strip().split('\\\\t')[:2]\\n participants[bc] = name.replace(\\\",\\\", \\\"\\\")\\n\\n print \\\"Using identified data!\\\"\\n else:\\n participants = None\\n\\n return participants\",\n \"def get_recipes_dict(filename, mode_type, encode):\\n with open(filename, mode_type, encoding=encode) as file:\\n recipe_dict = dict()\\n for line in file:\\n dish = line.strip()\\n amount = int(file.readline())\\n buffer_list = list()\\n for item in range(amount):\\n ingredient, quantity, measure = file.readline().split('|')\\n buffer_list.append(\\n {'ingredient_name': ingredient.strip(), 'quantity': int(quantity), 'measure': measure.strip()}\\n )\\n recipe_dict[dish] = buffer_list\\n file.readline()\\n return recipe_dict\",\n \"def get_sentiments(filename):\\n valores = {}\\n for linea in open(filename, 'r'):\\n termino, valor = linea.split('\\\\t')\\n valores[termino] = int(valor)\\n return valores\",\n \"def interconnected_groups(file_name):\\n content = open_file(file_name)\\n content_dict = defaultdict(list)\\n\\n # Create defautl dict with all the data provided in input file\\n for line in content:\\n line_items = line.split()\\n line_id = int(line_items[0])\\n line_communicate_ids = map(lambda x: int(x.strip(',')), line_items[2:])\\n # Create content dict\\n for id in line_communicate_ids:\\n # Assign all the values to the line_id\\n content_dict[line_id].append(id)\\n # Assign all connected values to the connected items in the line\\n content_dict[id].append(line_id)\\n\\n search_group = [0]\\n # Initialize collection with no duplicated entries\\n set_collection = set()\\n while search_group:\\n # Remove item from search group so it won't duplicate\\n removed_item = search_group.pop()\\n # Check for the removed item in the content default dict\\n for item_line in content_dict[removed_item]:\\n # If the item is not in the set collection - add it. Add the value from item_line to the search group.\\n if item_line not in set_collection:\\n set_collection.add(item_line)\\n search_group.append(item_line)\\n print \\\"Number of programs with same group as program {0} is: %i\\\" % len(set_collection)\",\n \"def process_lines(lines):\\n total_task1 = 0\\n total_task2 = 0\\n answers = []\\n for l_count, line in enumerate(lines):\\n\\n if line != \\\"\\\":\\n answers.append(set(line.strip()))\\n\\n if line == \\\"\\\" or l_count == len(lines)-1:\\n total_task1 += count_task1_group(answers)\\n total_task2 += count_task2_group(answers)\\n\\n answers = []\\n\\n print(f\\\"Task1: {total_task1}\\\")\\n print(f\\\"Task2: {total_task2}\\\")\",\n \"def get(self):\\n user = getAuthData()\\n question_list = list_questions()\\n # user_question_list = list_questions_by_username(user['username'])\\n # nonuser_question_list = list_questions_by_username(user['username'], invert=True)\\n\\n tasks = get_tasks().values()\\n\\n # filter out the SUCCESS/FAILURE tasks\\n tasks = [t for t in tasks if not (t['state'] == 'SUCCESS' or t['state'] == 'FAILURE' or t['state'] == 'REVOKED')]\\n\\n # get question hashes\\n question_tasks = {q.id:[] for q in question_list}\\n for t in tasks:\\n if not t['args']:\\n continue\\n match = re.match(r\\\"[\\\\[(]'(.*)',?[)\\\\]]\\\", t['args'])\\n if not match:\\n continue\\n question_id = match.group(1)\\n question_tasks[question_id].append(t)\\n\\n # split into answer and update tasks\\n for t in tasks:\\n t['type'] = 'answering' if t['name'] == 'manager.tasks.answer_question' else \\\\\\n 'refreshing KG' if t['name'] == 'manager.tasks.update_kg' else \\\\\\n 'something?'\\n\\n def augment_info(question):\\n answerset_timestamps = [a.timestamp for a in question.answersets]\\n if answerset_timestamps:\\n latest_idx = answerset_timestamps.index(max(answerset_timestamps))\\n latest_answerset_id = question.answersets[latest_idx].id\\n latest_answerset_timestamp = question.answersets[latest_idx].timestamp\\n else:\\n latest_answerset_id = None\\n latest_answerset_timestamp = None\\n q = question.toJSON()\\n q['user_email'] = question.user.email\\n q.pop('user_id')\\n q.pop('machine_question')\\n return {'latest_answerset_id': latest_answerset_id,\\n 'latest_answerset_timestamp': latest_answerset_timestamp.isoformat() if latest_answerset_timestamp else None,\\n 'tasks': [t['type'] for t in question_tasks[question.id]],\\n **q}\\n\\n return [augment_info(q) for q in question_list], 200\",\n \"def readLinking(goldStdFile):\\n linking = dict()\\n for line in open(goldStdFile):\\n d = re.split(\\\"\\\\s+\\\", line.strip())\\n mention = d[0].upper()\\n kb_id = d[1].upper()\\n\\n if kb_id in linking.keys():\\n linking[kb_id].add(mention)\\n else:\\n linking[kb_id] = set([mention])\\n return linking\",\n \"def _parse_file(filename):\\n with open(filename) as infile:\\n data = infile.read()\\n\\n values = {}\\n blank_line = True # beginning of file always counts as a blank line\\n field_name = None\\n cur_field = []\\n for line in data.splitlines():\\n if line.startswith(\\\"#\\\"):\\n continue # skip comments\\n\\n if not line:\\n blank_line = True\\n cur_field.append(line)\\n continue\\n\\n if blank_line and line.endswith(\\\":\\\") and len(line.split()) == 1:\\n # this is a new field name\\n while cur_field and not cur_field[-1]:\\n # remove trailing blank lines\\n cur_field.pop()\\n\\n if cur_field and not field_name:\\n # there is data for a field present, but no field name\\n raise TaskSyntaxError(\\n \\\"Missing field name for data:\\\\n{}\\\".format(\\n \\\"\\\\n\\\".join(cur_field)))\\n\\n if field_name:\\n values[field_name] = \\\"\\\\n\\\".join(cur_field)\\n cur_field = []\\n\\n field_name = line[:-1]\\n if field_name in TaskInfo._READ_ONLY_FIELDS:\\n raise TaskSyntaxError(\\n \\\"'{}' field is read-only\\\".format(field_name))\\n\\n blank_line = False\\n continue\\n\\n blank_line = False\\n cur_field.append(line)\\n\\n # FIXME - redundant code\\n while cur_field and not cur_field[-1]:\\n # remove trailing blank lines\\n cur_field.pop()\\n\\n if cur_field and not field_name:\\n # there is data for a field present, but no field name\\n raise TaskSyntaxError(\\n \\\"\\\\nMissing field name for data:\\\\n{{\\\\n{}\\\\n}}\\\".format(\\n \\\"\\\\n\\\".join(cur_field)))\\n\\n if field_name:\\n values[field_name] = \\\"\\\\n\\\".join(cur_field)\\n\\n return values\",\n \"def read_task_list(fname):\\n tasks = []\\n ignores = []\\n \\n f = open(fname,'r')\\n lns = f.readlines()\\n f.close()\\n \\n for l in lns:\\n items = [ it.strip() for it in l.split(',') ]\\n if len(items)==3:\\n tasks.append({\\\"cwd\\\" :items[0], # the directory where the command should be ran from\\n \\\"command\\\" :items[1], # the command to be run\\n \\\"result\\\" :items[2], # the expected result file (will be used to determine whether we are done)\\n \\\"status\\\" :\\\"unknown\\\"})\\n else:\\n if len(l.strip())>0:\\n ignores.append(\\\"Ignoring line '%s' in task file, not sure what to do with that.\\\"%(l.strip()))\\n\\n return tasks,ignores\",\n \"def main(*paths):\\n data = {}\\n if paths:\\n for path in paths:\\n data.update(process_entries(read_file(path)))\\n else:\\n # Need to check if interactive to avoid blocking if nothing is piped\\n if not sys.stdin.isatty():\\n stdin_data = []\\n for line in sys.stdin:\\n stdin_data.append(line)\\n data.update(process_entries(stdin_data))\\n\\n return output_requirements(data)\",\n \"def load_file(p_path_to_data):\\r\\n\\r\\n all_answers = []\\r\\n query_ids = []\\r\\n no_answer_query_ids = set()\\r\\n with open(p_path_to_data, 'r', encoding='utf-8') as data_file:\\r\\n for line in data_file:\\r\\n try:\\r\\n json_object = json.loads(line)\\r\\n except json.JSONDecodeError:\\r\\n raise Exception('\\\\\\\"%s\\\\\\\" is not a valid json' % line)\\r\\n\\r\\n assert \\\\\\r\\n QUERY_ID_JSON_ID in json_object, \\\\\\r\\n '\\\\\\\"%s\\\\\\\" json does not have \\\\\\\"%s\\\\\\\" field' % \\\\\\r\\n (line, QUERY_ID_JSON_ID)\\r\\n query_id = json_object[QUERY_ID_JSON_ID]\\r\\n\\r\\n assert \\\\\\r\\n ANSWERS_JSON_ID in json_object, \\\\\\r\\n '\\\\\\\"%s\\\\\\\" json does not have \\\\\\\"%s\\\\\\\" field' % \\\\\\r\\n (line, ANSWERS_JSON_ID)\\r\\n answers = json_object[ANSWERS_JSON_ID]\\r\\n if 'No Answer Present.' in answers:\\r\\n no_answer_query_ids.add(query_id)\\r\\n answers = ['']\\r\\n all_answers.extend(answers)\\r\\n query_ids.extend([query_id]*len(answers))\\r\\n\\r\\n all_normalized_answers = normalize_batch(all_answers)\\r\\n\\r\\n query_id_to_answers_map = {}\\r\\n for i, normalized_answer in enumerate(all_normalized_answers):\\r\\n query_id = query_ids[i]\\r\\n if query_id not in query_id_to_answers_map:\\r\\n query_id_to_answers_map[query_id] = []\\r\\n query_id_to_answers_map[query_id].append(normalized_answer)\\r\\n return query_id_to_answers_map, no_answer_query_ids\",\n \"def take_auth_data():\\n home = str(Path.home())\\n path_to_keys = '/Documents/twitter/keys/'\\n\\n files = [f for f in listdir(home+path_to_keys) if '.DS' not in f]\\n\\n tokens = []\\n for f in files:\\n with open(home+path_to_keys+f, 'r') as lines:\\n ln = lines.readline().replace(\\\" \\\", \\\"\\\")\\n tokens.append(ln)\\n\\n auth_data = dict(zip(files, tokens))\\n return auth_data\",\n \"def getSHSIDDict():\\n m = {}\\n fin = open(\\\"SHSDataset/Chromas/msd_keys_mapping.cly\\\")\\n for l in fin.readlines():\\n l = l.rstrip()\\n f = l.split(\\\",\\\")\\n m[f[0]] = int(f[1])\\n fin.close()\\n return m\",\n \"def get_prompts(self):\\n if self._prompts is None:\\n # Start execution to be able to get prompts\\n message = self.execute_async(arguments=self.prompt_args)\\n\\n while message.status not in [Status.Prompt, Status.Result]:\\n self.log.debug(\\\"get_prompts status = {}\\\".format(message.status))\\n message.update_status(max_wait_ms=1000)\\n if message.status == Status.ErrMsg:\\n raise MstrReportException(message.status_str)\\n\\n if message.status == Status.Result:\\n return []\\n else:\\n arguments = {\\n 'taskId': 'getPrompts',\\n 'objectType': self.object_type,\\n 'msgID': message.guid,\\n 'sessionState': self._task_api_client.session\\n }\\n response = self._task_api_client.request(arguments, max_retries=3)\\n\\n # There are many ways that prompts can be returned. This api\\n # currently supports a prompt that uses pre-created prompt objects.\\n prompts = []\\n prompt_dummy_answers = dict()\\n for prompt_xml in response.prompts.contents:\\n if prompt_xml.name == 'block':\\n prompt_obj = Prompt(prompt_xml)\\n prompt_dummy_answers[prompt_obj.attribute] = ''\\n prompts.append(prompt_obj)\\n self.execute_async(\\n arguments={self.message_id_param: message.guid},\\n element_prompt_answers=prompt_dummy_answers\\n )\\n self._prompts = prompts\\n\\n return self._prompts\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5814567","0.5640938","0.56229466","0.5342384","0.52831453","0.524801","0.51320285","0.51265144","0.50202674","0.49958473","0.49940932","0.49795607","0.49669075","0.49486187","0.49446806","0.49439514","0.49403074","0.49400342","0.4921348","0.4907984","0.48966852","0.48857632","0.48526475","0.48508114","0.48298687","0.4811564","0.48072663","0.47937322","0.4792745","0.47722086","0.47697836","0.4768637","0.47668698","0.47621855","0.4752019","0.47500917","0.4742724","0.47393766","0.4736627","0.47239673","0.472284","0.471998","0.47184217","0.47072324","0.47002852","0.46986517","0.46891296","0.46862867","0.4673749","0.4668889","0.46606022","0.46542135","0.4652905","0.46522975","0.46457577","0.4640348","0.46396804","0.46322215","0.46261874","0.4625987","0.4623847","0.46141225","0.46069977","0.46034274","0.459942","0.45975396","0.45957565","0.45946226","0.45946226","0.4587612","0.4587409","0.457089","0.4561103","0.45574746","0.45502904","0.45499066","0.4543372","0.45383567","0.45303786","0.45298356","0.45297396","0.45282692","0.45227766","0.45219737","0.45144197","0.45134073","0.45103744","0.4502602","0.45021465","0.45018554","0.45011678","0.44979832","0.44955462","0.44917923","0.44897708","0.4489229","0.44864488","0.44857603","0.44830003","0.44782928","0.44683045"],"string":"[\n \"0.5814567\",\n \"0.5640938\",\n \"0.56229466\",\n \"0.5342384\",\n \"0.52831453\",\n \"0.524801\",\n \"0.51320285\",\n \"0.51265144\",\n \"0.50202674\",\n \"0.49958473\",\n \"0.49940932\",\n \"0.49795607\",\n \"0.49669075\",\n \"0.49486187\",\n \"0.49446806\",\n \"0.49439514\",\n \"0.49403074\",\n \"0.49400342\",\n \"0.4921348\",\n \"0.4907984\",\n \"0.48966852\",\n \"0.48857632\",\n \"0.48526475\",\n \"0.48508114\",\n \"0.48298687\",\n \"0.4811564\",\n \"0.48072663\",\n \"0.47937322\",\n \"0.4792745\",\n \"0.47722086\",\n \"0.47697836\",\n \"0.4768637\",\n \"0.47668698\",\n \"0.47621855\",\n \"0.4752019\",\n \"0.47500917\",\n \"0.4742724\",\n \"0.47393766\",\n \"0.4736627\",\n \"0.47239673\",\n \"0.472284\",\n \"0.471998\",\n \"0.47184217\",\n \"0.47072324\",\n \"0.47002852\",\n \"0.46986517\",\n \"0.46891296\",\n \"0.46862867\",\n \"0.4673749\",\n \"0.4668889\",\n \"0.46606022\",\n \"0.46542135\",\n \"0.4652905\",\n \"0.46522975\",\n \"0.46457577\",\n \"0.4640348\",\n \"0.46396804\",\n \"0.46322215\",\n \"0.46261874\",\n \"0.4625987\",\n \"0.4623847\",\n \"0.46141225\",\n \"0.46069977\",\n \"0.46034274\",\n \"0.459942\",\n \"0.45975396\",\n \"0.45957565\",\n \"0.45946226\",\n \"0.45946226\",\n \"0.4587612\",\n \"0.4587409\",\n \"0.457089\",\n \"0.4561103\",\n \"0.45574746\",\n \"0.45502904\",\n \"0.45499066\",\n \"0.4543372\",\n \"0.45383567\",\n \"0.45303786\",\n \"0.45298356\",\n \"0.45297396\",\n \"0.45282692\",\n \"0.45227766\",\n \"0.45219737\",\n \"0.45144197\",\n \"0.45134073\",\n \"0.45103744\",\n \"0.4502602\",\n \"0.45021465\",\n \"0.45018554\",\n \"0.45011678\",\n \"0.44979832\",\n \"0.44955462\",\n \"0.44917923\",\n \"0.44897708\",\n \"0.4489229\",\n \"0.44864488\",\n \"0.44857603\",\n \"0.44830003\",\n \"0.44782928\",\n \"0.44683045\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":89994,"cells":{"query":{"kind":"string","value":"Init method for helper class."},"document":{"kind":"string","value":"def __init__(self):\n self.CVE_BUCKET = os.environ.get(\"REPORT_BUCKET_NAME\", '')\n self.AWS_KEY = os.environ.get(\"AWS_S3_ACCESS_KEY_ID_REPORT_BUCKET\", '')\n self.AWS_SECRET = os.environ.get(\"AWS_S3_SECRET_ACCESS_KEY_REPORT_BUCKET\", '')\n self.AWS_REGION = os.environ.get(\"AWS_S3_REGION\", \"us-east-1\")\n self.HOST = os.environ.get('BAYESIAN_DATA_IMPORTER_SERVICE_HOST', 'bayesian-data-importer')\n self.PORT = os.environ.get('BAYESIAN_DATA_IMPORTER_SERVICE_PORT', '9192')\n\n self.s3_resource = boto3.resource('s3', aws_access_key_id=self.AWS_KEY,\n aws_secret_access_key=self.AWS_SECRET,\n region_name=self.AWS_REGION)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def _init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def _init(self):\n raise NotImplementedError","def init(self) -> None:","def init(self) -> None:\n ...","def init(self):\n raise NotImplementedError","def init(self):\n raise NotImplementedError","def do_init(self):\n\n pass","def _init(self):","def _initialize(self):\n pass","def _initialize(self):\n pass","def _initialize(self):\n pass","def init():","def init(self):","def init(self):","def initialize(self):\n\t\tpass","def initialize(self):\r\n pass","def initialize(self):\r\n pass","def initialize(self):\n pass","def initialize(self):\n pass","def initialize(self):\n pass","def initialize(self):\n pass","def initialize(self):\n pass","def __init__():","def initialize(self, **kwargs):","def initialize(self) -> None:\n pass","def initialize(cls):","def initialize(self, *args, **kwargs):\n pass","def initialize(self):\n pass # pragma: no cover","def initialise(self):","def init(self, *args, **kwds):\n pass","def _initialize(self, **kwargs):\n return None","def init( self ):\n\t\treturn self","def __init__ (self):\n pass","def initialize(self, *args, **kwargs):","def initialize(self):\n raise NotImplementedError","def initialize(self):\n raise NotImplementedError","def initialize(self):\n raise NotImplementedError","def initialize(self): \r\n pass","def initialize(self):\n return","def initialize(self, **kwargs: Any) -> None:\n pass","def __init__(self) -> None:\n # TODO: Provide the complete constructor for this object","def __init__(__self__):\n pass","def __init__(__self__):\n pass","def __init__(__self__):\n pass","def __init__(__self__):\n pass","def __init__(__self__):\n pass","def __init__(__self__):\n pass","def __init__(__self__):\n pass","def __init__(__self__):\n pass","def __init__(__self__):\n pass","def __init__(__self__):\n pass","def __init__(self):\n self._initialized = False\n self.init()","def __init__(self):\n self._initialized = False\n self.init()","def initialize(self):","def initialize(self):","def initialize(self):","def initialize(self):","def initialise(self):\r\n return","def initialise(self):\r\n return","def initialise(self, **kwargs):\n pass","def __init__(self):\n\n # TODO: Add login and data grab logic","def __init__(self):\n self.helper = Helper()","async def _init(self, **kwargs):","def extra_init(self):\n pass","def _real_initialize(self):\n pass","def initialize(self, **kwargs):\n raise NotImplementedError()","def _singleton_init(self, *args, **kwargs):\r\n pass","def _manually_initialize(self) -> None:\n # XXX: maybe refactor, this is actually part of the public interface\n pass","def __init__(self, context):\n super(InitState, self).__init__(context)","def __init__(self):\n default_config = Config()\n query = Query(default_config)\n database = Database(default_config)\n common_util = CommonUtil(default_config, database)\n self.config = default_config\n self.query = query\n self.database = database\n self.common_util = common_util","def initialize(self, args):\n\t\tpass","def init():\n pass","def __init__(self):\n raise NotImplementedError","def __init__(self):\n raise NotImplementedError","def __init__(self):\n raise NotImplementedError","def __init__(self):\n raise NotImplementedError","def initialize(self, *args, **kwargs):\n self.initialized = True","def __post_init__(self):\n pass","def __init__(self, **kw_args):\n self._isoFmt = \"%Y%m%dT%H%M%S%z\"\n\n self._init_client_id(kw_args)\n self._init_shared_secret(kw_args)\n self._init_counter_from_time(kw_args)\n self._init_last_count(kw_args)\n self._init_last_count_update_time(kw_args)\n self._init_period(kw_args)\n self._init_password_length(kw_args)\n self._init_tags(kw_args)\n self._init_note(kw_args)","def __init__(self):\n self.ju = ju.JSONUtil()\n self.apiC = api.API()","def init(self, parameters):\n pass","def __init__(self, **kwargs):\n raise NotImplementedError","def initialize(self):\n pass","def __init__(self):\n raise NoInitiation","def init(self):\n self.is_init = True\n raise NotImplementedError","def initialize(self, context):\r\n pass","def initialize(self, context):\n pass","def initialize(self, context):\n pass","def initialize(self, context):\n pass","def __init__(self):\n\t\tsuper().__init__()","def __init__(self):\n\t\tsuper().__init__()","def initialize(context):","def initialize(context):"],"string":"[\n \"def _init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def _init(self):\\n raise NotImplementedError\",\n \"def init(self) -> None:\",\n \"def init(self) -> None:\\n ...\",\n \"def init(self):\\n raise NotImplementedError\",\n \"def init(self):\\n raise NotImplementedError\",\n \"def do_init(self):\\n\\n pass\",\n \"def _init(self):\",\n \"def _initialize(self):\\n pass\",\n \"def _initialize(self):\\n pass\",\n \"def _initialize(self):\\n pass\",\n \"def init():\",\n \"def init(self):\",\n \"def init(self):\",\n \"def initialize(self):\\n\\t\\tpass\",\n \"def initialize(self):\\r\\n pass\",\n \"def initialize(self):\\r\\n pass\",\n \"def initialize(self):\\n pass\",\n \"def initialize(self):\\n pass\",\n \"def initialize(self):\\n pass\",\n \"def initialize(self):\\n pass\",\n \"def initialize(self):\\n pass\",\n \"def __init__():\",\n \"def initialize(self, **kwargs):\",\n \"def initialize(self) -> None:\\n pass\",\n \"def initialize(cls):\",\n \"def initialize(self, *args, **kwargs):\\n pass\",\n \"def initialize(self):\\n pass # pragma: no cover\",\n \"def initialise(self):\",\n \"def init(self, *args, **kwds):\\n pass\",\n \"def _initialize(self, **kwargs):\\n return None\",\n \"def init( self ):\\n\\t\\treturn self\",\n \"def __init__ (self):\\n pass\",\n \"def initialize(self, *args, **kwargs):\",\n \"def initialize(self):\\n raise NotImplementedError\",\n \"def initialize(self):\\n raise NotImplementedError\",\n \"def initialize(self):\\n raise NotImplementedError\",\n \"def initialize(self): \\r\\n pass\",\n \"def initialize(self):\\n return\",\n \"def initialize(self, **kwargs: Any) -> None:\\n pass\",\n \"def __init__(self) -> None:\\n # TODO: Provide the complete constructor for this object\",\n \"def __init__(__self__):\\n pass\",\n \"def __init__(__self__):\\n pass\",\n \"def __init__(__self__):\\n pass\",\n \"def __init__(__self__):\\n pass\",\n \"def __init__(__self__):\\n pass\",\n \"def __init__(__self__):\\n pass\",\n \"def __init__(__self__):\\n pass\",\n \"def __init__(__self__):\\n pass\",\n \"def __init__(__self__):\\n pass\",\n \"def __init__(__self__):\\n pass\",\n \"def __init__(self):\\n self._initialized = False\\n self.init()\",\n \"def __init__(self):\\n self._initialized = False\\n self.init()\",\n \"def initialize(self):\",\n \"def initialize(self):\",\n \"def initialize(self):\",\n \"def initialize(self):\",\n \"def initialise(self):\\r\\n return\",\n \"def initialise(self):\\r\\n return\",\n \"def initialise(self, **kwargs):\\n pass\",\n \"def __init__(self):\\n\\n # TODO: Add login and data grab logic\",\n \"def __init__(self):\\n self.helper = Helper()\",\n \"async def _init(self, **kwargs):\",\n \"def extra_init(self):\\n pass\",\n \"def _real_initialize(self):\\n pass\",\n \"def initialize(self, **kwargs):\\n raise NotImplementedError()\",\n \"def _singleton_init(self, *args, **kwargs):\\r\\n pass\",\n \"def _manually_initialize(self) -> None:\\n # XXX: maybe refactor, this is actually part of the public interface\\n pass\",\n \"def __init__(self, context):\\n super(InitState, self).__init__(context)\",\n \"def __init__(self):\\n default_config = Config()\\n query = Query(default_config)\\n database = Database(default_config)\\n common_util = CommonUtil(default_config, database)\\n self.config = default_config\\n self.query = query\\n self.database = database\\n self.common_util = common_util\",\n \"def initialize(self, args):\\n\\t\\tpass\",\n \"def init():\\n pass\",\n \"def __init__(self):\\n raise NotImplementedError\",\n \"def __init__(self):\\n raise NotImplementedError\",\n \"def __init__(self):\\n raise NotImplementedError\",\n \"def __init__(self):\\n raise NotImplementedError\",\n \"def initialize(self, *args, **kwargs):\\n self.initialized = True\",\n \"def __post_init__(self):\\n pass\",\n \"def __init__(self, **kw_args):\\n self._isoFmt = \\\"%Y%m%dT%H%M%S%z\\\"\\n\\n self._init_client_id(kw_args)\\n self._init_shared_secret(kw_args)\\n self._init_counter_from_time(kw_args)\\n self._init_last_count(kw_args)\\n self._init_last_count_update_time(kw_args)\\n self._init_period(kw_args)\\n self._init_password_length(kw_args)\\n self._init_tags(kw_args)\\n self._init_note(kw_args)\",\n \"def __init__(self):\\n self.ju = ju.JSONUtil()\\n self.apiC = api.API()\",\n \"def init(self, parameters):\\n pass\",\n \"def __init__(self, **kwargs):\\n raise NotImplementedError\",\n \"def initialize(self):\\n pass\",\n \"def __init__(self):\\n raise NoInitiation\",\n \"def init(self):\\n self.is_init = True\\n raise NotImplementedError\",\n \"def initialize(self, context):\\r\\n pass\",\n \"def initialize(self, context):\\n pass\",\n \"def initialize(self, context):\\n pass\",\n \"def initialize(self, context):\\n pass\",\n \"def __init__(self):\\n\\t\\tsuper().__init__()\",\n \"def __init__(self):\\n\\t\\tsuper().__init__()\",\n \"def initialize(context):\",\n \"def initialize(context):\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.8610245\",\n \"0.84196734\",\n \"0.84196734\",\n \"0.84196734\",\n \"0.84196734\",\n \"0.84196734\",\n \"0.84196734\",\n \"0.84196734\",\n \"0.84196734\",\n \"0.8380376\",\n \"0.8373575\",\n \"0.8353151\",\n \"0.82789344\",\n \"0.82789344\",\n \"0.8152919\",\n \"0.8116294\",\n \"0.7993546\",\n \"0.7993546\",\n \"0.7993546\",\n \"0.79501164\",\n \"0.79408956\",\n \"0.79408956\",\n \"0.79360944\",\n \"0.7929262\",\n \"0.7929262\",\n \"0.78926206\",\n \"0.78926206\",\n \"0.78926206\",\n \"0.78926206\",\n \"0.78926206\",\n \"0.7884341\",\n \"0.7872395\",\n \"0.7837872\",\n \"0.7821197\",\n \"0.781074\",\n \"0.78095603\",\n \"0.78092986\",\n \"0.7803199\",\n \"0.7769597\",\n \"0.77217805\",\n \"0.77067435\",\n \"0.7685844\",\n \"0.76775604\",\n \"0.76775604\",\n \"0.76775604\",\n \"0.76437086\",\n \"0.7635046\",\n \"0.7632905\",\n \"0.7613457\",\n \"0.7611691\",\n \"0.7611691\",\n \"0.7611691\",\n \"0.7611691\",\n \"0.7611691\",\n \"0.7611691\",\n \"0.7611691\",\n \"0.7611691\",\n \"0.7611691\",\n \"0.7611691\",\n \"0.7580847\",\n \"0.7580847\",\n \"0.75780183\",\n \"0.75780183\",\n \"0.75780183\",\n \"0.75780183\",\n \"0.7546091\",\n \"0.7546091\",\n \"0.7498399\",\n \"0.74978054\",\n \"0.74966806\",\n \"0.74397796\",\n \"0.7435219\",\n \"0.7433966\",\n \"0.7337815\",\n \"0.7331539\",\n \"0.7322724\",\n \"0.73038566\",\n \"0.72670937\",\n \"0.7265086\",\n \"0.7249042\",\n \"0.723946\",\n \"0.723946\",\n \"0.723946\",\n \"0.723946\",\n \"0.7227774\",\n \"0.72173655\",\n \"0.72160417\",\n \"0.7215968\",\n \"0.7205998\",\n \"0.7194378\",\n \"0.71844614\",\n \"0.7183969\",\n \"0.7161488\",\n \"0.7158117\",\n \"0.71443224\",\n \"0.71443224\",\n \"0.71443224\",\n \"0.7127848\",\n \"0.7127848\",\n \"0.7123318\",\n \"0.7123318\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":89995,"cells":{"query":{"kind":"string","value":"Set HTTP Adapter with retries to session."},"document":{"kind":"string","value":"def get_session_retry(self, retries=3, backoff_factor=0.2,\n status_forcelist=(404, 500, 502, 504),\n session=None):\n session = session or requests.Session()\n retry = Retry(total=retries, read=retries, connect=retries,\n backoff_factor=backoff_factor, status_forcelist=status_forcelist)\n adapter = HTTPAdapter(max_retries=retry)\n session.mount('http://', adapter)\n return session"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def __init__(\n self,\n retries=3,\n backoff_factor=0.3,\n status_forcelist=(500, 502, 504),\n **session_options,\n ):\n super().__init__(**session_options)\n retries = retries or 0\n\n self.retry_ = Retry(\n total=retries,\n read=retries,\n connect=retries,\n backoff_factor=backoff_factor,\n status_forcelist=status_forcelist,\n )\n self.adapter_ = requests.adapters.HTTPAdapter(max_retries=self.retry_)\n self.mount(\"http://\", self.adapter_)\n self.mount(\"https://\", self.adapter_)\n\n self.total_backoff_ = float(backoff_factor) * (2 ** (retries - 1))","def test_session_adapters():\n http = _requests_session.adapters[\"http://\"]\n https = _requests_session.adapters[\"https://\"]\n\n assert http == _adapter\n assert https == _adapter\n # Also make sure retries are configured\n retries = _adapter.max_retries\n assert retries.total == Options.max_retries_to_connect_to_coordinator\n assert retries.connect == Options.max_retries_to_connect_to_coordinator\n assert retries.read == Options.max_retries_to_connect_to_coordinator\n # All request types should be retried\n assert not retries.allowed_methods","def requests_retry_session(\n retries=0, backoff_factor=0.3, status_forcelist=(500, 502, 504), session=None\n):\n session = session or requests.Session()\n retry = Retry(\n total=retries,\n read=retries,\n connect=retries,\n backoff_factor=backoff_factor,\n status_forcelist=status_forcelist,\n )\n adapter = HTTPAdapter(max_retries=retry)\n session.mount(\"http://\", adapter)\n session.mount(\"https://\", adapter)\n return session","def requests_retry_session(\n retries=3,\n backoff_factor=0.3,\n status_forcelist=(500, 502, 504),\n session=None,\n):\n session = session or requests.Session()\n retry = requests.packages.urllib3.util.retry.Retry(\n total=retries,\n read=retries,\n connect=retries,\n backoff_factor=backoff_factor,\n status_forcelist=status_forcelist,\n )\n adapter = requests.adapters.HTTPAdapter(max_retries=retry)\n session.mount('http://', adapter)\n session.mount('https://', adapter)\n return session","def retry(num=5):\n s = requests.Session()\n retries = Retry(total=num, backoff_factor=0.1,\n status_forcelist=[500, 502, 503, 504])\n s.mount('http://', HTTPAdapter(max_retries=retries))\n\n return s","def retry(\n self,\n retries: int = 3,\n backoff_factor: float = 0.3,\n status_forcelist: list | None = None,\n **kwargs,\n ):\n retry_object = Retry(\n total=retries,\n read=retries,\n connect=retries,\n backoff_factor=backoff_factor,\n status_forcelist=status_forcelist or [500, 502, 504],\n )\n urls = kwargs.get('urls') or ['https://']\n\n if self._custom_adapter:\n self._custom_adapter.max_retries = retry_object\n else:\n # TODO: @cblades - max_retries is typed as int and Retry is being passed\n self._custom_adapter = CustomAdapter(\n rate_limit_handler=self.rate_limit_handler, max_retries=retry_object # type: ignore\n )\n\n # mount the custom adapter\n for url in urls:\n self.log.info(\n f'feature=external-session, action=applying-retry, retries={retries}, '\n f'backoff-factor={backoff_factor}, status-forcelist={status_forcelist}, url={url}'\n )\n self.mount(url, self._custom_adapter)","def session():\n s = requests.Session()\n retries = Retry(total=5, backoff_factor=0.5)\n s.mount(\"http://\", HTTPAdapter(max_retries=retries))\n return s","def test_retriable_session():\n total = 5\n backoff_factor = 0.5\n session = retriable_session(total, backoff_factor)\n assert len(session.adapters) == 2\n assert 'https://' in session.adapters\n assert 'http://' in session.adapters\n assert session.adapters['https://'] == session.adapters['http://']\n assert session.adapters['https://'].max_retries.total == total\n assert session.adapters['https://'].max_retries.backoff_factor == backoff_factor","def retry_strategy(self, retry_strat):\n self.retry_strategy = retry_strat\n return self","def set_retry_timeout(self, retry_timeout):","def with_retry(self, retry: Optional[urllib3.util.retry.Retry]) -> \"Session\":\n\n return type(self)(\n master=self._master,\n user=self._user,\n auth=self._auth,\n cert=self._cert,\n max_retries=retry,\n )","def connect(self, num_retry_attempts=1):\n pass","def __init__(self):\r\n # Tell the underlying HTTP transport library not to retry, we want explicit control over the retry logic\r\n # and to only retry on errors/exceptions specified by Google\r\n httplib2.RETRIES = 1","def retry(self, times):\n return Retry((requests.ConnectionError, requests.Timeout), times)","def set_max_retries(cls, max_retries):\n LOGGER.debug(\"Updating max retries to {}\".format(max_retries))\n # See https://twistedmatrix.com/documents/19.10.0/api/twisted.internet.protocol.ReconnectingClientFactory.html\n cls.maxRetries = max_retries","def set_connectionretry(value):\n environ[\"XRD_CONNECTIONRETRY\"] = str(value)","def test_get_response_with_retry__connection_reset(self, mock_get_thread_session):\n\n mock_requests_response = mock.Mock(status_code=206)\n mock_requests_session = mock.create_autospec(requests.Session)\n mock_requests_session.get.side_effect = [\n ConnectionResetError(),\n mock_requests_response,\n ]\n mock_get_thread_session.return_value = mock_requests_session\n\n mock_presigned_url_provider = mock.create_autospec(\n download_threads.PresignedUrlProvider\n )\n presigned_url_info = download_threads.PresignedUrlInfo(\n \"foo.txt\", \"synapse.org/foo.txt\", datetime.datetime.utcnow()\n )\n\n mock_presigned_url_provider.get_info.return_value = presigned_url_info\n start = 5\n end = 42\n\n mock_syn = mock.Mock(spec=Synapse)\n mock_executor = mock.Mock(spec=concurrent.futures.Executor)\n downloader = _MultithreadedDownloader(mock_syn, mock_executor, 5)\n assert (start, mock_requests_response) == downloader._get_response_with_retry(\n mock_presigned_url_provider, start, end\n )\n\n expected_get_call_args_list = [\n mock.call(presigned_url_info.url, headers={\"Range\": \"bytes=5-42\"})\n ] * 2\n assert mock_requests_session.get.call_args_list == expected_get_call_args_list","def _reset_session(self):\n retries = self.__no_of_retries\n\n while retries > 0:\n if not self._is_session_valid():\n self._close()\n self._set_session()\n else:\n break\n retries -= 1\n else:\n raise DatabaseError.ConnectionError(\"Connection to database not available!\")","def __init__(self, endpoint: str) -> None:\n self._session = requests.Session()\n self._adapter = requests.adapters.HTTPAdapter(max_retries=2)\n self._session.mount(\"https://\", self._adapter)\n\n if not endpoint[-1] == \"/\":\n endpoint += \"/\"\n self.endpoint = endpoint","def _set_requestor(self, pool_options):\n # We had been importing this at the top of the module, but that seemed\n # to break some CI environments\n import requests\n\n if not pool_options['enable']:\n self._requestor = requests\n return\n\n session = requests.Session()\n adapter = requests.adapters.HTTPAdapter(\n pool_block=pool_options['block'],\n pool_connections=pool_options['number'],\n pool_maxsize=pool_options['maxsize'],\n )\n logger.info(\n 'Created connection pool (block={}, number={}, maxsize={})'.format(\n pool_options['block'],\n pool_options['number'],\n pool_options['maxsize']))\n\n prefix = _get_protocol_prefix(self.api_root)\n if prefix:\n session.mount(prefix, adapter)\n logger.info('Mounted connection pool for \"{}\"'.format(prefix))\n else:\n session.mount('http://', adapter)\n session.mount('https://', adapter)\n logger.info(\n 'Could not find protocol prefix in API root, mounted '\n 'connection pool on both http and https.')\n\n self._requestor = session","def init_session(self):\n self._session = requests.Session()","def test_retry(self):\n self.response.raise_for_status.side_effect = \\\n [requests.HTTPError(), None]\n\n wsgi._retryable('get', 'http://some.thing')\n\n assert self.session.get.call_count == 2","def reconnect(self):\n self.test_cmd()\n if not self.check_network: \n self.reset()\n attempt=0\n while not self.check_network and attempt<self.retries:\n self.full_reset()\n attempt+=1","def create(self):\n if self._session:\n self.close()\n\n if not self._session:\n self._session = requests.Session()\n self._session.mount('http://', ra.HTTPAdapter(max_retries=self._max_retries))\n self._session.mount('https://', ra.HTTPAdapter(max_retries=self._max_retries))\n\n msg = u'Created internal requests Session instance {0:#0x}'\n utils.log_with_debug_info(logging.DEBUG, msg.format(id(self._session)))","def retry_request(self, method, action, body=None,\r\n headers=None, params=None):\r\n max_attempts = self.retries + 1\r\n for i in range(max_attempts):\r\n try:\r\n return self.do_request(method, action, body=body,\r\n headers=headers, params=params)\r\n except exceptions.ConnectionFailed:\r\n # Exception has already been logged by do_request()\r\n if i < self.retries:\r\n _logger.debug(_('Retrying connection to Neutron service'))\r\n time.sleep(self.retry_interval)\r\n\r\n raise exceptions.ConnectionFailed(reason=_(\"Maximum attempts reached\"))","def retry_request(\n self,\n tapi_exception,\n error_message,\n repeat_number,\n response,\n request_kwargs,\n api_params,\n **kwargs\n ):\n return False","def __init__(self):\n\n self._session = requests.Session()","def reset_rate_limit(self):\n self.rate_limit_remaining += 1\n self.rate_limit_remaining = min(\n self.rate_limit_remaining, self.rate_limit_limit)\n\n # Countdown of retry sleep seconds\n if self.rate_limit_sleep:\n self.rate_limit_sleep -= 1","def create(self):\n\t\tif self._session:\n\t\t\tself.close()\n\n\t\tif not self._session:\n\t\t\tself._session = requests.Session()\n\t\t\tself._session.mount('http://', ra.HTTPAdapter(max_retries=self._max_retries))\n\t\t\tself._session.mount('https://', ra.HTTPAdapter(max_retries=self._max_retries))\n\n\t\t\tmsg = u'Created internal requests Session instance {0:#0x}'\n\t\t\tlog_with_debug_info(logging.DEBUG, msg.format(id(self._session)))","def __init__(self, **requests_kwargs: Any) -> None:\n super(AppPixivAPI, self).__init__(**requests_kwargs)\n session = requests.Session()\n session.mount(\"https://\", host_header_ssl.HostHeaderSSLAdapter())\n self.requests = session","def __init__(self, tries , exceptions=None, delay=0.01):\n self.tries = tries\n if exceptions is None:\n exceptions = Retry.default_exceptions\n self.exceptions = exceptions\n self.delay = delay","def _request(self):\n if self._session is None:\n # Lazy import, may never be called\n from requests import Session\n from requests.adapters import HTTPAdapter\n from urllib3.util.retry import Retry\n\n # Create session with automatic retries on some error codes\n adapter = HTTPAdapter(max_retries=Retry(\n total=self._RETRIES, read=self._RETRIES, connect=self._RETRIES,\n backoff_factor=0.3, status_forcelist=(408, 500, 502, 504)))\n\n self._session = Session()\n self._session.mount('http://', adapter)\n self._session.mount('https://', adapter)\n self._session_request = self._session.request\n\n return self._session_request","def _reset_connection(self):\n\n self.__userid = 0\n self.__token = 0\n self.__conn.close()\n\n self.__conn = httplib.HTTPConnection(\"www.slimtimer.com\")\n self._logon()","def reste_login_attempts(self):\n self.login_attempts = 0","def adapters(self, adapters):\n self.logger.debug(\"In 'adapters' setter.\")\n\n self._adapters = adapters","def test_retry_failed(self):\n self.response.raise_for_status.side_effect = requests.HTTPError()\n\n with pytest.raises(requests.HTTPError):\n wsgi._retryable('get', 'http://some.thing')\n\n assert self.session.get.call_count == wsgi.MAX_RETRIES\n assert wsgi.MAX_RETRIES > 1","async def _retry_get(url: str, retries: int, **kwargs):\r\n retries -= 1\r\n if retries >= 0:\r\n logger.warning(\r\n f\"Retrying request to {url}. Retries remaining: {retries}\")\r\n return await asyncio.create_task(\r\n self.get(url, retries, **kwargs))\r\n logger.error(\r\n f\"Max retries exceeded: {url}. URL can not be navigated.\")","def __init__(self, retry_count):\n self.retry_count = retry_count","def set_max_retries(self,mx_rty_passive_activation):\n # We set MxRtyPassiveActivation to 5 because it turns out that one\n # try sometimes does not detect the card properly.\n frame = Pn532Frame(frame_type=PN532_FRAME_TYPE_DATA,\n data=bytearray([PN532_COMMAND_RFCONFIGURATION,\n PN532_RFCONFIGURATION_CFGITEM_MAXRETRIES,\n 0xFF,0x01,mx_rty_passive_activation]))\n self.send_command_check_ack(frame)\n self.read_response()","def start(self):\n if self._real_send:\n raise RuntimeError('Mocker has already been started')\n\n self._real_send = requests.Session.send\n\n def _fake_get_adapter(session, url):\n return self._adapter\n\n def _fake_send(session, request, **kwargs):\n real_get_adapter = requests.Session.get_adapter\n requests.Session.get_adapter = _fake_get_adapter\n\n try:\n return self._real_send(session, request, **kwargs)\n except exceptions.NoMockAddress:\n if not self._real_http:\n raise\n finally:\n requests.Session.get_adapter = real_get_adapter\n\n return self._real_send(session, request, **kwargs)\n\n requests.Session.send = _fake_send","def retryget(url, retrys=3, backoff_factor=0.3):\n try:\n s = requests.Session()\n retry = Retry(connect=retrys, backoff_factor=backoff_factor)\n adapter = HTTPAdapter(max_retries=retry)\n s.mount(\"https://\", adapter)\n s.keep_alive = False\n\n response = s.request(\"GET\", url)\n return response\n except MaxRetryError:\n raise RuntimeError(\"timeout while trying to get {}\".format(url))\n except ConnectionError:\n raise RuntimeError(\"connection error while trying to get {}\".format(url))","def attempt_to_connect(self):\n if self.server_handler.attempt_connection:\n self.server_handler.attempt_connection = False\n else:\n self.server_handler.attempt_connection = True","def connect(max_attempt=3, auto_restart=True, **kwargs) -> blpapi.session.Session:\n if isinstance(kwargs.get('sess', None), blpapi.session.Session):\n return bbg_session(sess=kwargs['sess'])\n\n sess_opts = blpapi.SessionOptions()\n sess_opts.setNumStartAttempts(numStartAttempts=max_attempt)\n sess_opts.setAutoRestartOnDisconnection(autoRestart=auto_restart)\n\n if isinstance(kwargs.get('auth_method', None), str):\n auth_method = kwargs['auth_method']\n auth = None\n\n if auth_method == 'user':\n user = blpapi.AuthUser.createWithLogonName()\n auth = blpapi.AuthOptions.createWithUser(user=user)\n elif auth_method == 'app':\n auth = blpapi.AuthOptions.createWithApp(appName=kwargs['app_name'])\n elif auth_method == 'userapp':\n user = blpapi.createWithLogonName()\n auth = blpapi.AuthOptions.createWithUserAndApp(user=user, appName=kwargs['app_name'])\n elif auth_method == 'dir':\n user = blpapi.AuthUser.createWithActiveDirectoryProperty(propertyName=kwargs['dir_property'])\n auth = blpapi.AuthOptions.createWithUser(user=user)\n elif auth_method == 'manual':\n user = blpapi.AuthUser.createWithManualOptions(userId=kwargs['user_id'], ipAddress=kwargs['ip_address'])\n auth = blpapi.AuthOptions.createWithUserAndApp(user=user, appName=kwargs['app_name'])\n else:\n raise ValueError(\n 'Received invalid value for auth_method. '\n 'auth_method must be one of followings: user, app, userapp, dir, manual'\n )\n\n sess_opts.setSessionIdentityOptions(authOptions=auth)\n\n if isinstance(kwargs.get('server_host', None), str):\n sess_opts.setServerHost(serverHost=kwargs['server_host'])\n\n if isinstance(kwargs.get('server_port', None), int):\n sess_opts.setServerPort(serverPort=kwargs['server_port'])\n\n if isinstance(kwargs.get('tls_options', None), blpapi.sessionoptions.TlsOptions):\n sess_opts.setTlsOptions(tlsOptions=kwargs['tlsOptions'])\n\n return bbg_session(sess=blpapi.Session(sess_opts))","def _retry(self, result, method, url, params_dict, **kwargs):\n return result","def __init__(self, session, retries=0):\n\n super(NiagaraAXAuthenticateOperation, self).__init__()\n self._retries = retries\n self._session = session\n self._cookies = {}\n self._auth = BasicAuthenticationCredentials(session._username,\n session._password)\n\n self._state_machine = fysom.Fysom(\n initial='init', final='done',\n events=[\n # Event Current State New State\n ('get_new_session', 'init', 'newsession'),\n ('do_login', 'newsession', 'login'),\n ('login_done', 'login', 'done'),\n ('exception', '*', 'failed'),\n ('retry', 'failed', 'newsession'),\n ('abort', 'failed', 'done'),\n ], callbacks={\n 'onenternewsession': self._do_new_session,\n 'onenterlogin': self._do_login,\n 'onenterfailed': self._do_fail_retry,\n 'onenterdone': self._do_done,\n })","def auto_failover(method):\r\n\r\n @functools.wraps(method)\r\n def _decorator(self, *args, **kwargs):\r\n if self._in_fallback:\r\n pass_seconds = (datetime_now() - self._in_fallback_date).total_seconds()\r\n if pass_seconds > self._options.get(\"FAILOVER_TIME\", 30):\r\n print(\"Go to default connection\")\r\n self._client = self._old_client\r\n\r\n self._in_fallback = False\r\n self._in_fallback_date = None\r\n del self.fallback_client\r\n else:\r\n print(\"Mantain fallback connection\")\r\n\r\n try:\r\n print(\"Executing {0}\".format(method.__name__))\r\n return method(self, *args, **kwargs)\r\n except ConnectionInterrumped:\r\n if self._fallback and not self._in_fallback:\r\n print(\"raised ConnectionInterrumped\")\r\n print(\"Switching to fallback conection\")\r\n self._old_client = self._client\r\n self._client = self.fallback_client\r\n\r\n self._in_fallback = True\r\n self._in_fallback_date = timezone.now()\r\n\r\n return method(self, *args, **kwargs)\r\n return _decorator","def multi_connect(self, *args, **kwargs):\n uri_save = self.uri\n auth_save = self.adapter.auth\n try:\n self._multi_connect(*args, **kwargs)\n except BaseException as e:\n self.uri = uri_save\n self.adapter.auth = auth_save\n raise e","def _refresh_connection(self):\n\n try:\n response = requests.get(\n f\"https://{self.hostname}:{self.port}/{self._ENDPOINTS['tokens']}/{self.session_id}\",\n headers=self._headers,\n verify=False\n ).json()\n\n if 'messages' in response and response['messages'][0]['severity'] == 'error':\n self._connect()\n\n except requests.ConnectionError as error:\n logging.exception(error)\n raise ConnectionError(f\"Error reconnecting to {self.hostname}\")","def __init__(self, tries, exceptions=None, delay=1):\r\n self.tries = tries\r\n if exceptions is None:\r\n exceptions = retry.default_exceptions\r\n self.exceptions = exceptions\r\n self.delay = delay","def get_connection(self, *args, **kwargs):\n conn = super(SSLHTTPAdapter, self).get_connection(*args, **kwargs)\n if conn.assert_hostname != self.assert_hostname:\n conn.assert_hostname = self.assert_hostname\n return conn","def retry_mechanism(self):\n # If future is done we can close the transport\n if self.on_response_received.done():\n self.transport.close()\n elif self._retries < self._max_retries:\n self._retries += 1\n logger.debug(f'Retry #{self._retries} of {self._max_retries}')\n self._send_request()\n else:\n logger.debug(f'Max number of retries ({self._max_retries}) reached, closing socket')\n self.on_response_received.set_exception(MaxRetriesException)\n self.transport.close()","def use_session(cls, session):\r\n cls._session = session","def retry(self):\n\n swt.retried_tests.append(self.id())\n swt.desired_browser = self._browser_capabilities\n test = swt.test_loader.load_tests_from_name(self.id())\n swt.test_suite.addTests(test)","def _create_session(self):\n self.session = requests.Session() # pragma: no cover\n self.session.headers[\"Accept\"] = \"application/json\" # pragma: no cover\n if self.user: # pragma: no cover\n self.session.auth = (self.user, self.cred) # pragma: no cover","def reset_login_attemtps(self):\r\n self.login_attempts = 0","def __init__(self,\n http_proxy=\"\",\n tries=2,\n wait_seconds=3,\n user_agent=\"Firefox/%s\" % __version__,\n timeout=30,\n ):\n assert tries >= 1\n assert wait_seconds >= 0\n assert timeout >= 0\n self.http_proxy = http_proxy\n self.tries = tries\n self.wait_seconds = wait_seconds\n self.user_agent = user_agent\n self.timeout = timeout\n socket.setdefaulttimeout(self.timeout)","def reset_login_attempts(self):\n\t\tself.login_attempts = 0","def reset_login_attempts(self):\n\t\tself.login_attempts = 0","def retries(self, count: int):\n if count < 0:\n raise ValueError(\"negative\")\n\n self._retries = count","def reset_login_attempts(self):\n self.login_attempts = 0","def reset_login_attempts(self):\n self.login_attempts = 0","def reset_login_attempts(self):\n self.login_attempts = 0","def reset_login_attempts(self):\n self.login_attempts = 0","def reset_login_attempts(self):\n self.login_attempts = 0","def reset_login_attempts(self):\n self.login_attempts = 0","def winhttp_WinHttpResetAutoProxy(jitter):\n ret_ad, args = jitter.func_args_stdcall([\"hSession\", \"dwFlags\"])\n raise RuntimeError('API not implemented')\n jitter.func_ret_stdcall(ret_ad, ret_value)","def set(self, session):\n raise InvalidSessionException('Need to be implemented')","def default_setup(self, mocker):\n # pylama: ignore=W0201\n session_cls = mocker.patch.object(requests, 'Session')\n self.session = mocker.MagicMock()\n self.session.__enter__.return_value = self.session\n session_cls.return_value = self.session\n\n self.response = mocker.Mock()\n response_cls = mocker.patch.object(requests, 'Response')\n response_cls.return_value = self.response\n self.session.get.return_value = self.response\n self.session.post.return_value = self.response","def retry(self, envelope):\n # type: (RetryPolicy, Envelope) -> None\n raise NotImplementedError()","def auto_retry(fun):\n\n @functools.wraps(fun)\n def decorated(instance, *args, **kwargs):\n \"\"\"Wrapper around a decorated function.\"\"\"\n cfg = instance._retry_config\n remaining_tries = cfg.retry_attempts\n current_wait = cfg.retry_wait\n retry_backoff = cfg.retry_backoff\n last_error = None\n\n while remaining_tries >= 0:\n try:\n return fun(instance, *args, **kwargs)\n except socket.error as e:\n last_error = e\n instance._retry_logger.warning('Connection failed: %s', e)\n\n remaining_tries -= 1\n if remaining_tries == 0:\n # Last attempt\n break\n\n # Wait a bit\n time.sleep(current_wait)\n current_wait *= retry_backoff\n\n # All attempts failed, let's raise the last error.\n raise last_error\n\n return decorated","def SetIterationsAndRetries(self, iterations, retries):\n if not isinstance(iterations, int) or iterations == 0 or iterations < -1:\n raise ValueError(\n 'In test %s, Iterations must be a positive integer or -1, not %r' % (\n self.path, iterations))\n if not isinstance(retries, int) or retries < -1:\n raise ValueError(\n 'In test %s, Retries must be a positive integer, 0, or -1, not %r' % (\n self.path, retries))\n self.iterations = float('inf') if iterations == -1 else iterations\n self.retries = float('inf') if retries == -1 else retries","def _init_session(session):\n if session is None:\n session = requests.Session()\n return session","def __init__(self, base_url: str | None = None):\n super().__init__()\n self._base_url = base_url\n\n self._custom_adapter: CustomAdapter | None = None\n self.util = Util()\n\n # properties\n self._log_curl: bool = False\n self._mask_body = False\n self._mask_headers = True\n self._mask_patterns = None\n self._rate_limit_handler = RateLimitHandler()\n self._too_many_requests_handler = None\n self.log = _logger\n self.requests_to_curl = RequestsToCurl()\n\n # Add default Retry\n self.retry()","def test_set_session_wrong_method(self):\n v1 = TLSv1_2_METHOD\n v2 = TLSv1_METHOD\n\n key = load_privatekey(FILETYPE_PEM, server_key_pem)\n cert = load_certificate(FILETYPE_PEM, server_cert_pem)\n ctx = Context(v1)\n ctx.use_privatekey(key)\n ctx.use_certificate(cert)\n ctx.set_session_id(b\"unity-test\")\n\n def makeServer(socket):\n server = Connection(ctx, socket)\n server.set_accept_state()\n return server\n\n def makeOriginalClient(socket):\n client = Connection(Context(v1), socket)\n client.set_connect_state()\n return client\n\n originalServer, originalClient = loopback(\n server_factory=makeServer, client_factory=makeOriginalClient\n )\n originalSession = originalClient.get_session()\n\n def makeClient(socket):\n # Intentionally use a different, incompatible method here.\n client = Connection(Context(v2), socket)\n client.set_connect_state()\n client.set_session(originalSession)\n return client\n\n with pytest.raises(Error):\n loopback(client_factory=makeClient, server_factory=makeServer)","def _retry_occurred(self):","def set_connection(cls, user_name, password, end_point, session_verify):\n if not session_verify:\n requests.packages.urllib3.disable_warnings()\n\n cls.user_name = user_name\n cls.password = password\n cls.end_point = end_point\n\n cls.session = requests.Session()\n cls.session.auth = HTTPBasicAuth(user_name, password)\n cls.session.verify = session_verify","def setUp(self):\n\n self._patcher = patch('requests.Session', autospec=True)\n self._mock_session = self._patcher.start()\n instance = self._mock_session.return_value\n # Add \"headers\" attribute\n instance.headers = {}\n # By default, return a successfull response\n self.setSessionResponse(200)","def max_retries(self, max_retries: ConfigNodePropertyInteger):\n\n self._max_retries = max_retries","def reset( self ):\n\t\t\n\t\t# If proxy changes, gather some new proxy-related details\n\t\tif self.__current_proxy != self.proxy:\n\t\t\tself.pick_a_new_proxy_ip()\n\t\t\treturn\n\t\t\n\t\tif self.http:\n\t\t\tself.http.close()\n\t\tif self.https:\n\t\t\tself.https.close()\n\t\t\n\t\t#print \"Browser reset:\", self.__use_this_proxy\n\t\t(proxy, alt_ip) = self.__use_this_proxy\n\t\t\n\t\tif proxy:\n\t\t\tself.http = OldProxyHTTPConnection( self.site, proxy, alt_ip )\n\t\t\ttry:\n\t\t\t\tself.https = ProxyHTTPSConnection( self.site, proxy, alt_ip )\n\t\t\texcept socket.error:\n\t\t\t\tself.https = None\n\t\telse:\n\t\t\tself.https = httplib.HTTPSConnection( self.site )\n\t\t\tself.http = httplib.HTTPConnection( self.site )\n\t\t\n\t\tif self.debug:\n\t\t\tprint 'Reset connection'\n\t\t\tif self.http:\n\t\t\t\tself.http.set_debuglevel(1)\n\t\t\tif self.https:\n\t\t\t\tself.https.set_debuglevel(1)","def _initialize_session(self):\n session = requests.Session()\n session.auth = (self.login, self.password)\n session.verify = False\n session.headers.update({'Accept': 'application/json'})\n session.headers.update({'Content-type': 'application/json'})\n return session","def _new_session(self):\n try:\n self._session.close()\n except (AttributeError,TypeError):\n pass\n self._session = requests.Session()\n return self._session","def configure_http_backend(backend_factory: BACKEND_FACTORY_T = requests.Session) -> None:\n global _GLOBAL_BACKEND_FACTORY\n _GLOBAL_BACKEND_FACTORY = backend_factory\n _get_session_from_cache.cache_clear()","def _set_requests(self):\n self.settings.library = \"requests\"\n self.settings.requests = import_module(\"requests\")\n self.settings.urllib2 = False","def create_mock_session(self, base_url):\n logger.debug(\"robotframework-wiremock libary version: {}\".format(__version__))\n self.base_url = base_url\n self.session = requests.Session()","def set_session(session):\n\n global session_\n session_ = session\n import observatory.api.server.api as api\n\n api.session_ = session","def _retry_request(self, request, timeout=2, attempts=3):\n import googleapiclient\n\n try:\n return request.execute()\n except BrokenPipeError as ex:\n if attempts > 0:\n time.sleep(timeout)\n return self._retry_request(request, timeout * 2, attempts - 1)\n raise ex\n except googleapiclient.errors.HttpError as ex:\n log_verbose_traceback(ex)\n raise ex\n except Exception as ex:\n log_verbose_traceback(ex)\n raise ex","def __init__(self, host, username, password, is_ssl=False, retries=None):\r\n self.host = host\r\n self.username = username\r\n self.password = password\r\n self.is_ssl = self.is_true(is_ssl)\r\n self.retries = retries","def test_method_selection(self, method):\n wsgi._retryable(method, 'http://some.thing')\n\n getattr(self.session, method).assert_called_once_with(\n 'http://some.thing'\n )","def setSessionParameters(self,\n url=None,\n protocols=None,\n server=None,\n headers=None,\n externalPort=None):","def __init__(\n self, host, password, username='smile', port=80, timeout=DEFAULT_TIMEOUT, websession=None, legacy_anna=False,\n ):\n\n if websession is None:\n async def _create_session():\n return aiohttp.ClientSession()\n\n loop = asyncio.get_event_loop()\n self.websession = loop.run_until_complete(_create_session())\n else:\n self.websession = websession\n\n self._auth=aiohttp.BasicAuth(username, password=password)\n\n self._legacy_anna = legacy_anna\n self._timeout = timeout\n self._endpoint = \"http://\" + host + \":\" + str(port)\n self._throttle_time = None\n self._throttle_all_time = None\n self._domain_objects = None","def __init__(self, session, retries=2):\n\n super(SkysparkAuthenticateOperation, self).__init__()\n self._retries = retries\n self._session = session\n self._cookie = None\n self._nonce = None\n self._username = None\n self._user_salt = None\n self._digest = None\n self._login_uri = '%s/auth/%s/api?%s' % \\\n (session._client.uri, session._project, session._username)\n self._state_machine = fysom.Fysom(\n initial='init', final='done',\n events=[\n # Event Current State New State\n ('get_new_session', 'init', 'newsession'),\n ('do_login', 'newsession', 'login'),\n ('login_done', 'login', 'done'),\n ('exception', '*', 'failed'),\n ('retry', 'failed', 'newsession'),\n ('abort', 'failed', 'done'),\n ], callbacks={\n 'onenternewsession': self._do_new_session,\n 'onenterlogin': self._do_login,\n 'onenterfailed': self._do_fail_retry,\n 'onenterdone': self._do_done,\n })","def request( # pylint: disable=arguments-differ\n self, method: str, url: str, **kwargs\n ) -> object:\n if self.base_url is not None and not url.startswith('https'):\n url = f'{self.base_url}{url}'\n\n # this kwargs value is used to signal 429 handling that this is a retry, but the super\n # method doesn't expect it so it needs to be removed.\n tc_is_retry = kwargs.pop('tc_is_retry', False)\n\n response: Response = super().request(method, url, **kwargs)\n\n if response.status_code == 429 and not tc_is_retry:\n too_many_requests_handler = self.too_many_requests_handler\n time.sleep(too_many_requests_handler(response))\n kwargs['tc_is_retry'] = True\n return self.request(method, url, **kwargs)\n\n # APP-79 - adding logging of request as curl commands\n if not response.ok or self.log_curl:\n try:\n self.log.debug(\n self.requests_to_curl.convert(\n response.request,\n mask_body=self.mask_body,\n mask_headers=self.mask_headers,\n mask_patterns=self.mask_patterns,\n proxies=self.proxies,\n verify=self.verify,\n )\n )\n except Exception: # nosec\n pass # logging curl command is best effort\n\n self.log.debug(\n f'feature=external-session, request-url={response.request.url}, '\n f'status_code={response.status_code}, elapsed={response.elapsed}'\n )\n\n return response","def test_disable_limiter(monkeypatch):\n monkeypatch.setattr(planet.http, 'RATE_LIMIT', 0)\n monkeypatch.setattr(planet.http, 'MAX_ACTIVE', 0)","def close(self):\n self.should_connect = False\n self.retry = 0\n self.resp.close()","def retry_after(self, delay: float, request_method: Callable, *args: Any, **kwargs: Any) -> 'NetworkResponse':\n raise NotImplementedError # pragma: no cover","def set_keepalive(self):\n self._session._transport.set_keepalive(60)","def request( self, method, location, parameters, headers, secure ):\n\t\tif self.__current_proxy != self.proxy:\n\t\t\tself.reset()\n\t\t\tprint \"proxy changed: %r\" % (self,)\n\t\t\n\t\tif self.proxy_must_match:\n\t\t\tif ( self.proxy is None ) or ( not self.proxy_must_match.search(self.proxy) ):\n\t\t\t\traise ValueError(\"Invalid proxy %r!!! Conflicts with proxy_must_match value!\" % (self.proxy,))\n\t\t\n\t\tif self.print_requests:\n\t\t\tprint \"%s %s %r %r\" % (secure and 'HTTPS' or 'HTTP', method, location, self.__use_this_proxy,)\n\t\t\n\t\tif self.requests_before_reconnect > 0:\n\t\t\tif self.requests_count > self.requests_before_reconnect:\n\t\t\t\t#open new connection\n\t\t\t\tself.requests_count = 1\n\t\t\t\tself.reset()\n\t\t\tself.requests_count += 1\n\n\t\tif secure:\n\t\t\tconn = self.https\n\t\telse:\n\t\t\tconn = self.http\n\n\t\tif self.debug:\n\t\t\tprint conn\n\n\t\tif headers and 'Referrer' in headers:\n\t\t\traise ValueError(\"Incorrect spelling - use referer not referrer\")\n\n\t\t# This strips out the :443 of https connections from the Host header by setting it manually.\n\t\tif not 'Host' in headers:\n\t\t\theaders['Host'] = self.site\n\t\t\n\t\ttry:\n\t\t\ttry:\n\t\t\t\tconn.request( method, location, parameters, headers )\n\t\t\texcept socket.error:\n\t\t\t\tconn.close()\n\t\t\t\tconn.request( method, location, parameters, headers )\n\t\t\texcept httplib.CannotSendRequest:\n\t\t\t\tconn.close()\n\t\t\t\tconn.request( method, location, parameters, headers )\n\t\t\t\n\t\t\ttry:\n\t\t\t\tresp = conn.getresponse()\n\t\t\texcept httplib.BadStatusLine:\n\t\t\t\tconn.close()\n\t\t\t\tconn.request( method, location, parameters, headers )\n\t\t\t\tresp = conn.getresponse()\n\t\t\texcept httplib.CannotSendRequest:\n\t\t\t\tconn.close()\n\t\t\t\tconn.request( method, location, parameters, headers )\n\t\t\t\tresp = conn.getresponse()\n\t\texcept Exception, e:\n\t\t\tprint \"Reset browser.py %r because error %r\" % (self, e,)\n\t\t\tself.reset()\n\t\t\traise\n\t\t\n\t\tcookie = resp.getheader( 'set-cookie' )\n\t\tif cookie:\n\t\t\tself.cookies.add( cookie )\n\t\t\n\t\tprotocol = 'http'\n\t\tif secure:\n\t\t\tprotocol = 'https'\n\t\tself.last_visited = '%s://%s%s' % (protocol, self.site, location)\n\t\t\n\t\t# if this is a redirect:\n\t\tif resp.status >= 300 and resp.status < 400:\n\t\t\t# check if the site was specified and it differs from\n\t\t\t# the current one\n\t\t\tconn.close()\n\t\t\tlocation = resp.getheader('location')\n\t\t\t#print \"redirecting to \", location\n\t\t\tparsed_location = urlparse.urlparse(location)\n\t\t\thttp_or_https = protocol\n\t\t\tcls = LocalRedirect\n\t\t\tif parsed_location[1]:\n\t\t\t\tif parsed_location[1] != self.site:\n\t\t\t\t\tcls = ExternalRedirect\n\t\t\t\telse:\n\t\t\t\t\t# ignore the beginning bit\n\t\t\t\t\thttp_or_https = parsed_location[0]\n\t\t\t\t\tparsed_location = list(parsed_location)\n\t\t\t\t\tparsed_location[0] = ''\n\t\t\t\t\tparsed_location[1] = ''\n\t\t\t\t\tlocation = urlparse.urlunparse(parsed_location)\n\t\t\t# raise an exception for the redirection\n\t\t\traise cls(location, resp.status, resp.reason, resp, http_or_https)\n\t\t\n\t\t# set the location that was visited, in case it differs from that which\n\t\t# was specified (i.e because of a redirect)\n\t\tresp.location = location\n\t\treturn resp","def reconnect(func):\n\n @wraps(func)\n def _reconnect(self, *args, **kwargs):\n \"\"\"\n Inner wrap function to reconnect on failure\n \"\"\"\n try:\n return func(self, *args, **kwargs)\n except ldap.LDAPError:\n self.connect()\n return func(self, *args, **kwargs)\n\n return _reconnect","def reset_login_attempts(self):\n self.attributes['login_attempts'] = 0","def _reconnect(self, *args, **kwargs):\n try:\n return func(self, *args, **kwargs)\n except ldap.LDAPError:\n self.connect()\n return func(self, *args, **kwargs)"],"string":"[\n \"def __init__(\\n self,\\n retries=3,\\n backoff_factor=0.3,\\n status_forcelist=(500, 502, 504),\\n **session_options,\\n ):\\n super().__init__(**session_options)\\n retries = retries or 0\\n\\n self.retry_ = Retry(\\n total=retries,\\n read=retries,\\n connect=retries,\\n backoff_factor=backoff_factor,\\n status_forcelist=status_forcelist,\\n )\\n self.adapter_ = requests.adapters.HTTPAdapter(max_retries=self.retry_)\\n self.mount(\\\"http://\\\", self.adapter_)\\n self.mount(\\\"https://\\\", self.adapter_)\\n\\n self.total_backoff_ = float(backoff_factor) * (2 ** (retries - 1))\",\n \"def test_session_adapters():\\n http = _requests_session.adapters[\\\"http://\\\"]\\n https = _requests_session.adapters[\\\"https://\\\"]\\n\\n assert http == _adapter\\n assert https == _adapter\\n # Also make sure retries are configured\\n retries = _adapter.max_retries\\n assert retries.total == Options.max_retries_to_connect_to_coordinator\\n assert retries.connect == Options.max_retries_to_connect_to_coordinator\\n assert retries.read == Options.max_retries_to_connect_to_coordinator\\n # All request types should be retried\\n assert not retries.allowed_methods\",\n \"def requests_retry_session(\\n retries=0, backoff_factor=0.3, status_forcelist=(500, 502, 504), session=None\\n):\\n session = session or requests.Session()\\n retry = Retry(\\n total=retries,\\n read=retries,\\n connect=retries,\\n backoff_factor=backoff_factor,\\n status_forcelist=status_forcelist,\\n )\\n adapter = HTTPAdapter(max_retries=retry)\\n session.mount(\\\"http://\\\", adapter)\\n session.mount(\\\"https://\\\", adapter)\\n return session\",\n \"def requests_retry_session(\\n retries=3,\\n backoff_factor=0.3,\\n status_forcelist=(500, 502, 504),\\n session=None,\\n):\\n session = session or requests.Session()\\n retry = requests.packages.urllib3.util.retry.Retry(\\n total=retries,\\n read=retries,\\n connect=retries,\\n backoff_factor=backoff_factor,\\n status_forcelist=status_forcelist,\\n )\\n adapter = requests.adapters.HTTPAdapter(max_retries=retry)\\n session.mount('http://', adapter)\\n session.mount('https://', adapter)\\n return session\",\n \"def retry(num=5):\\n s = requests.Session()\\n retries = Retry(total=num, backoff_factor=0.1,\\n status_forcelist=[500, 502, 503, 504])\\n s.mount('http://', HTTPAdapter(max_retries=retries))\\n\\n return s\",\n \"def retry(\\n self,\\n retries: int = 3,\\n backoff_factor: float = 0.3,\\n status_forcelist: list | None = None,\\n **kwargs,\\n ):\\n retry_object = Retry(\\n total=retries,\\n read=retries,\\n connect=retries,\\n backoff_factor=backoff_factor,\\n status_forcelist=status_forcelist or [500, 502, 504],\\n )\\n urls = kwargs.get('urls') or ['https://']\\n\\n if self._custom_adapter:\\n self._custom_adapter.max_retries = retry_object\\n else:\\n # TODO: @cblades - max_retries is typed as int and Retry is being passed\\n self._custom_adapter = CustomAdapter(\\n rate_limit_handler=self.rate_limit_handler, max_retries=retry_object # type: ignore\\n )\\n\\n # mount the custom adapter\\n for url in urls:\\n self.log.info(\\n f'feature=external-session, action=applying-retry, retries={retries}, '\\n f'backoff-factor={backoff_factor}, status-forcelist={status_forcelist}, url={url}'\\n )\\n self.mount(url, self._custom_adapter)\",\n \"def session():\\n s = requests.Session()\\n retries = Retry(total=5, backoff_factor=0.5)\\n s.mount(\\\"http://\\\", HTTPAdapter(max_retries=retries))\\n return s\",\n \"def test_retriable_session():\\n total = 5\\n backoff_factor = 0.5\\n session = retriable_session(total, backoff_factor)\\n assert len(session.adapters) == 2\\n assert 'https://' in session.adapters\\n assert 'http://' in session.adapters\\n assert session.adapters['https://'] == session.adapters['http://']\\n assert session.adapters['https://'].max_retries.total == total\\n assert session.adapters['https://'].max_retries.backoff_factor == backoff_factor\",\n \"def retry_strategy(self, retry_strat):\\n self.retry_strategy = retry_strat\\n return self\",\n \"def set_retry_timeout(self, retry_timeout):\",\n \"def with_retry(self, retry: Optional[urllib3.util.retry.Retry]) -> \\\"Session\\\":\\n\\n return type(self)(\\n master=self._master,\\n user=self._user,\\n auth=self._auth,\\n cert=self._cert,\\n max_retries=retry,\\n )\",\n \"def connect(self, num_retry_attempts=1):\\n pass\",\n \"def __init__(self):\\r\\n # Tell the underlying HTTP transport library not to retry, we want explicit control over the retry logic\\r\\n # and to only retry on errors/exceptions specified by Google\\r\\n httplib2.RETRIES = 1\",\n \"def retry(self, times):\\n return Retry((requests.ConnectionError, requests.Timeout), times)\",\n \"def set_max_retries(cls, max_retries):\\n LOGGER.debug(\\\"Updating max retries to {}\\\".format(max_retries))\\n # See https://twistedmatrix.com/documents/19.10.0/api/twisted.internet.protocol.ReconnectingClientFactory.html\\n cls.maxRetries = max_retries\",\n \"def set_connectionretry(value):\\n environ[\\\"XRD_CONNECTIONRETRY\\\"] = str(value)\",\n \"def test_get_response_with_retry__connection_reset(self, mock_get_thread_session):\\n\\n mock_requests_response = mock.Mock(status_code=206)\\n mock_requests_session = mock.create_autospec(requests.Session)\\n mock_requests_session.get.side_effect = [\\n ConnectionResetError(),\\n mock_requests_response,\\n ]\\n mock_get_thread_session.return_value = mock_requests_session\\n\\n mock_presigned_url_provider = mock.create_autospec(\\n download_threads.PresignedUrlProvider\\n )\\n presigned_url_info = download_threads.PresignedUrlInfo(\\n \\\"foo.txt\\\", \\\"synapse.org/foo.txt\\\", datetime.datetime.utcnow()\\n )\\n\\n mock_presigned_url_provider.get_info.return_value = presigned_url_info\\n start = 5\\n end = 42\\n\\n mock_syn = mock.Mock(spec=Synapse)\\n mock_executor = mock.Mock(spec=concurrent.futures.Executor)\\n downloader = _MultithreadedDownloader(mock_syn, mock_executor, 5)\\n assert (start, mock_requests_response) == downloader._get_response_with_retry(\\n mock_presigned_url_provider, start, end\\n )\\n\\n expected_get_call_args_list = [\\n mock.call(presigned_url_info.url, headers={\\\"Range\\\": \\\"bytes=5-42\\\"})\\n ] * 2\\n assert mock_requests_session.get.call_args_list == expected_get_call_args_list\",\n \"def _reset_session(self):\\n retries = self.__no_of_retries\\n\\n while retries > 0:\\n if not self._is_session_valid():\\n self._close()\\n self._set_session()\\n else:\\n break\\n retries -= 1\\n else:\\n raise DatabaseError.ConnectionError(\\\"Connection to database not available!\\\")\",\n \"def __init__(self, endpoint: str) -> None:\\n self._session = requests.Session()\\n self._adapter = requests.adapters.HTTPAdapter(max_retries=2)\\n self._session.mount(\\\"https://\\\", self._adapter)\\n\\n if not endpoint[-1] == \\\"/\\\":\\n endpoint += \\\"/\\\"\\n self.endpoint = endpoint\",\n \"def _set_requestor(self, pool_options):\\n # We had been importing this at the top of the module, but that seemed\\n # to break some CI environments\\n import requests\\n\\n if not pool_options['enable']:\\n self._requestor = requests\\n return\\n\\n session = requests.Session()\\n adapter = requests.adapters.HTTPAdapter(\\n pool_block=pool_options['block'],\\n pool_connections=pool_options['number'],\\n pool_maxsize=pool_options['maxsize'],\\n )\\n logger.info(\\n 'Created connection pool (block={}, number={}, maxsize={})'.format(\\n pool_options['block'],\\n pool_options['number'],\\n pool_options['maxsize']))\\n\\n prefix = _get_protocol_prefix(self.api_root)\\n if prefix:\\n session.mount(prefix, adapter)\\n logger.info('Mounted connection pool for \\\"{}\\\"'.format(prefix))\\n else:\\n session.mount('http://', adapter)\\n session.mount('https://', adapter)\\n logger.info(\\n 'Could not find protocol prefix in API root, mounted '\\n 'connection pool on both http and https.')\\n\\n self._requestor = session\",\n \"def init_session(self):\\n self._session = requests.Session()\",\n \"def test_retry(self):\\n self.response.raise_for_status.side_effect = \\\\\\n [requests.HTTPError(), None]\\n\\n wsgi._retryable('get', 'http://some.thing')\\n\\n assert self.session.get.call_count == 2\",\n \"def reconnect(self):\\n self.test_cmd()\\n if not self.check_network: \\n self.reset()\\n attempt=0\\n while not self.check_network and attempt<self.retries:\\n self.full_reset()\\n attempt+=1\",\n \"def create(self):\\n if self._session:\\n self.close()\\n\\n if not self._session:\\n self._session = requests.Session()\\n self._session.mount('http://', ra.HTTPAdapter(max_retries=self._max_retries))\\n self._session.mount('https://', ra.HTTPAdapter(max_retries=self._max_retries))\\n\\n msg = u'Created internal requests Session instance {0:#0x}'\\n utils.log_with_debug_info(logging.DEBUG, msg.format(id(self._session)))\",\n \"def retry_request(self, method, action, body=None,\\r\\n headers=None, params=None):\\r\\n max_attempts = self.retries + 1\\r\\n for i in range(max_attempts):\\r\\n try:\\r\\n return self.do_request(method, action, body=body,\\r\\n headers=headers, params=params)\\r\\n except exceptions.ConnectionFailed:\\r\\n # Exception has already been logged by do_request()\\r\\n if i < self.retries:\\r\\n _logger.debug(_('Retrying connection to Neutron service'))\\r\\n time.sleep(self.retry_interval)\\r\\n\\r\\n raise exceptions.ConnectionFailed(reason=_(\\\"Maximum attempts reached\\\"))\",\n \"def retry_request(\\n self,\\n tapi_exception,\\n error_message,\\n repeat_number,\\n response,\\n request_kwargs,\\n api_params,\\n **kwargs\\n ):\\n return False\",\n \"def __init__(self):\\n\\n self._session = requests.Session()\",\n \"def reset_rate_limit(self):\\n self.rate_limit_remaining += 1\\n self.rate_limit_remaining = min(\\n self.rate_limit_remaining, self.rate_limit_limit)\\n\\n # Countdown of retry sleep seconds\\n if self.rate_limit_sleep:\\n self.rate_limit_sleep -= 1\",\n \"def create(self):\\n\\t\\tif self._session:\\n\\t\\t\\tself.close()\\n\\n\\t\\tif not self._session:\\n\\t\\t\\tself._session = requests.Session()\\n\\t\\t\\tself._session.mount('http://', ra.HTTPAdapter(max_retries=self._max_retries))\\n\\t\\t\\tself._session.mount('https://', ra.HTTPAdapter(max_retries=self._max_retries))\\n\\n\\t\\t\\tmsg = u'Created internal requests Session instance {0:#0x}'\\n\\t\\t\\tlog_with_debug_info(logging.DEBUG, msg.format(id(self._session)))\",\n \"def __init__(self, **requests_kwargs: Any) -> None:\\n super(AppPixivAPI, self).__init__(**requests_kwargs)\\n session = requests.Session()\\n session.mount(\\\"https://\\\", host_header_ssl.HostHeaderSSLAdapter())\\n self.requests = session\",\n \"def __init__(self, tries , exceptions=None, delay=0.01):\\n self.tries = tries\\n if exceptions is None:\\n exceptions = Retry.default_exceptions\\n self.exceptions = exceptions\\n self.delay = delay\",\n \"def _request(self):\\n if self._session is None:\\n # Lazy import, may never be called\\n from requests import Session\\n from requests.adapters import HTTPAdapter\\n from urllib3.util.retry import Retry\\n\\n # Create session with automatic retries on some error codes\\n adapter = HTTPAdapter(max_retries=Retry(\\n total=self._RETRIES, read=self._RETRIES, connect=self._RETRIES,\\n backoff_factor=0.3, status_forcelist=(408, 500, 502, 504)))\\n\\n self._session = Session()\\n self._session.mount('http://', adapter)\\n self._session.mount('https://', adapter)\\n self._session_request = self._session.request\\n\\n return self._session_request\",\n \"def _reset_connection(self):\\n\\n self.__userid = 0\\n self.__token = 0\\n self.__conn.close()\\n\\n self.__conn = httplib.HTTPConnection(\\\"www.slimtimer.com\\\")\\n self._logon()\",\n \"def reste_login_attempts(self):\\n self.login_attempts = 0\",\n \"def adapters(self, adapters):\\n self.logger.debug(\\\"In 'adapters' setter.\\\")\\n\\n self._adapters = adapters\",\n \"def test_retry_failed(self):\\n self.response.raise_for_status.side_effect = requests.HTTPError()\\n\\n with pytest.raises(requests.HTTPError):\\n wsgi._retryable('get', 'http://some.thing')\\n\\n assert self.session.get.call_count == wsgi.MAX_RETRIES\\n assert wsgi.MAX_RETRIES > 1\",\n \"async def _retry_get(url: str, retries: int, **kwargs):\\r\\n retries -= 1\\r\\n if retries >= 0:\\r\\n logger.warning(\\r\\n f\\\"Retrying request to {url}. Retries remaining: {retries}\\\")\\r\\n return await asyncio.create_task(\\r\\n self.get(url, retries, **kwargs))\\r\\n logger.error(\\r\\n f\\\"Max retries exceeded: {url}. URL can not be navigated.\\\")\",\n \"def __init__(self, retry_count):\\n self.retry_count = retry_count\",\n \"def set_max_retries(self,mx_rty_passive_activation):\\n # We set MxRtyPassiveActivation to 5 because it turns out that one\\n # try sometimes does not detect the card properly.\\n frame = Pn532Frame(frame_type=PN532_FRAME_TYPE_DATA,\\n data=bytearray([PN532_COMMAND_RFCONFIGURATION,\\n PN532_RFCONFIGURATION_CFGITEM_MAXRETRIES,\\n 0xFF,0x01,mx_rty_passive_activation]))\\n self.send_command_check_ack(frame)\\n self.read_response()\",\n \"def start(self):\\n if self._real_send:\\n raise RuntimeError('Mocker has already been started')\\n\\n self._real_send = requests.Session.send\\n\\n def _fake_get_adapter(session, url):\\n return self._adapter\\n\\n def _fake_send(session, request, **kwargs):\\n real_get_adapter = requests.Session.get_adapter\\n requests.Session.get_adapter = _fake_get_adapter\\n\\n try:\\n return self._real_send(session, request, **kwargs)\\n except exceptions.NoMockAddress:\\n if not self._real_http:\\n raise\\n finally:\\n requests.Session.get_adapter = real_get_adapter\\n\\n return self._real_send(session, request, **kwargs)\\n\\n requests.Session.send = _fake_send\",\n \"def retryget(url, retrys=3, backoff_factor=0.3):\\n try:\\n s = requests.Session()\\n retry = Retry(connect=retrys, backoff_factor=backoff_factor)\\n adapter = HTTPAdapter(max_retries=retry)\\n s.mount(\\\"https://\\\", adapter)\\n s.keep_alive = False\\n\\n response = s.request(\\\"GET\\\", url)\\n return response\\n except MaxRetryError:\\n raise RuntimeError(\\\"timeout while trying to get {}\\\".format(url))\\n except ConnectionError:\\n raise RuntimeError(\\\"connection error while trying to get {}\\\".format(url))\",\n \"def attempt_to_connect(self):\\n if self.server_handler.attempt_connection:\\n self.server_handler.attempt_connection = False\\n else:\\n self.server_handler.attempt_connection = True\",\n \"def connect(max_attempt=3, auto_restart=True, **kwargs) -> blpapi.session.Session:\\n if isinstance(kwargs.get('sess', None), blpapi.session.Session):\\n return bbg_session(sess=kwargs['sess'])\\n\\n sess_opts = blpapi.SessionOptions()\\n sess_opts.setNumStartAttempts(numStartAttempts=max_attempt)\\n sess_opts.setAutoRestartOnDisconnection(autoRestart=auto_restart)\\n\\n if isinstance(kwargs.get('auth_method', None), str):\\n auth_method = kwargs['auth_method']\\n auth = None\\n\\n if auth_method == 'user':\\n user = blpapi.AuthUser.createWithLogonName()\\n auth = blpapi.AuthOptions.createWithUser(user=user)\\n elif auth_method == 'app':\\n auth = blpapi.AuthOptions.createWithApp(appName=kwargs['app_name'])\\n elif auth_method == 'userapp':\\n user = blpapi.createWithLogonName()\\n auth = blpapi.AuthOptions.createWithUserAndApp(user=user, appName=kwargs['app_name'])\\n elif auth_method == 'dir':\\n user = blpapi.AuthUser.createWithActiveDirectoryProperty(propertyName=kwargs['dir_property'])\\n auth = blpapi.AuthOptions.createWithUser(user=user)\\n elif auth_method == 'manual':\\n user = blpapi.AuthUser.createWithManualOptions(userId=kwargs['user_id'], ipAddress=kwargs['ip_address'])\\n auth = blpapi.AuthOptions.createWithUserAndApp(user=user, appName=kwargs['app_name'])\\n else:\\n raise ValueError(\\n 'Received invalid value for auth_method. '\\n 'auth_method must be one of followings: user, app, userapp, dir, manual'\\n )\\n\\n sess_opts.setSessionIdentityOptions(authOptions=auth)\\n\\n if isinstance(kwargs.get('server_host', None), str):\\n sess_opts.setServerHost(serverHost=kwargs['server_host'])\\n\\n if isinstance(kwargs.get('server_port', None), int):\\n sess_opts.setServerPort(serverPort=kwargs['server_port'])\\n\\n if isinstance(kwargs.get('tls_options', None), blpapi.sessionoptions.TlsOptions):\\n sess_opts.setTlsOptions(tlsOptions=kwargs['tlsOptions'])\\n\\n return bbg_session(sess=blpapi.Session(sess_opts))\",\n \"def _retry(self, result, method, url, params_dict, **kwargs):\\n return result\",\n \"def __init__(self, session, retries=0):\\n\\n super(NiagaraAXAuthenticateOperation, self).__init__()\\n self._retries = retries\\n self._session = session\\n self._cookies = {}\\n self._auth = BasicAuthenticationCredentials(session._username,\\n session._password)\\n\\n self._state_machine = fysom.Fysom(\\n initial='init', final='done',\\n events=[\\n # Event Current State New State\\n ('get_new_session', 'init', 'newsession'),\\n ('do_login', 'newsession', 'login'),\\n ('login_done', 'login', 'done'),\\n ('exception', '*', 'failed'),\\n ('retry', 'failed', 'newsession'),\\n ('abort', 'failed', 'done'),\\n ], callbacks={\\n 'onenternewsession': self._do_new_session,\\n 'onenterlogin': self._do_login,\\n 'onenterfailed': self._do_fail_retry,\\n 'onenterdone': self._do_done,\\n })\",\n \"def auto_failover(method):\\r\\n\\r\\n @functools.wraps(method)\\r\\n def _decorator(self, *args, **kwargs):\\r\\n if self._in_fallback:\\r\\n pass_seconds = (datetime_now() - self._in_fallback_date).total_seconds()\\r\\n if pass_seconds > self._options.get(\\\"FAILOVER_TIME\\\", 30):\\r\\n print(\\\"Go to default connection\\\")\\r\\n self._client = self._old_client\\r\\n\\r\\n self._in_fallback = False\\r\\n self._in_fallback_date = None\\r\\n del self.fallback_client\\r\\n else:\\r\\n print(\\\"Mantain fallback connection\\\")\\r\\n\\r\\n try:\\r\\n print(\\\"Executing {0}\\\".format(method.__name__))\\r\\n return method(self, *args, **kwargs)\\r\\n except ConnectionInterrumped:\\r\\n if self._fallback and not self._in_fallback:\\r\\n print(\\\"raised ConnectionInterrumped\\\")\\r\\n print(\\\"Switching to fallback conection\\\")\\r\\n self._old_client = self._client\\r\\n self._client = self.fallback_client\\r\\n\\r\\n self._in_fallback = True\\r\\n self._in_fallback_date = timezone.now()\\r\\n\\r\\n return method(self, *args, **kwargs)\\r\\n return _decorator\",\n \"def multi_connect(self, *args, **kwargs):\\n uri_save = self.uri\\n auth_save = self.adapter.auth\\n try:\\n self._multi_connect(*args, **kwargs)\\n except BaseException as e:\\n self.uri = uri_save\\n self.adapter.auth = auth_save\\n raise e\",\n \"def _refresh_connection(self):\\n\\n try:\\n response = requests.get(\\n f\\\"https://{self.hostname}:{self.port}/{self._ENDPOINTS['tokens']}/{self.session_id}\\\",\\n headers=self._headers,\\n verify=False\\n ).json()\\n\\n if 'messages' in response and response['messages'][0]['severity'] == 'error':\\n self._connect()\\n\\n except requests.ConnectionError as error:\\n logging.exception(error)\\n raise ConnectionError(f\\\"Error reconnecting to {self.hostname}\\\")\",\n \"def __init__(self, tries, exceptions=None, delay=1):\\r\\n self.tries = tries\\r\\n if exceptions is None:\\r\\n exceptions = retry.default_exceptions\\r\\n self.exceptions = exceptions\\r\\n self.delay = delay\",\n \"def get_connection(self, *args, **kwargs):\\n conn = super(SSLHTTPAdapter, self).get_connection(*args, **kwargs)\\n if conn.assert_hostname != self.assert_hostname:\\n conn.assert_hostname = self.assert_hostname\\n return conn\",\n \"def retry_mechanism(self):\\n # If future is done we can close the transport\\n if self.on_response_received.done():\\n self.transport.close()\\n elif self._retries < self._max_retries:\\n self._retries += 1\\n logger.debug(f'Retry #{self._retries} of {self._max_retries}')\\n self._send_request()\\n else:\\n logger.debug(f'Max number of retries ({self._max_retries}) reached, closing socket')\\n self.on_response_received.set_exception(MaxRetriesException)\\n self.transport.close()\",\n \"def use_session(cls, session):\\r\\n cls._session = session\",\n \"def retry(self):\\n\\n swt.retried_tests.append(self.id())\\n swt.desired_browser = self._browser_capabilities\\n test = swt.test_loader.load_tests_from_name(self.id())\\n swt.test_suite.addTests(test)\",\n \"def _create_session(self):\\n self.session = requests.Session() # pragma: no cover\\n self.session.headers[\\\"Accept\\\"] = \\\"application/json\\\" # pragma: no cover\\n if self.user: # pragma: no cover\\n self.session.auth = (self.user, self.cred) # pragma: no cover\",\n \"def reset_login_attemtps(self):\\r\\n self.login_attempts = 0\",\n \"def __init__(self,\\n http_proxy=\\\"\\\",\\n tries=2,\\n wait_seconds=3,\\n user_agent=\\\"Firefox/%s\\\" % __version__,\\n timeout=30,\\n ):\\n assert tries >= 1\\n assert wait_seconds >= 0\\n assert timeout >= 0\\n self.http_proxy = http_proxy\\n self.tries = tries\\n self.wait_seconds = wait_seconds\\n self.user_agent = user_agent\\n self.timeout = timeout\\n socket.setdefaulttimeout(self.timeout)\",\n \"def reset_login_attempts(self):\\n\\t\\tself.login_attempts = 0\",\n \"def reset_login_attempts(self):\\n\\t\\tself.login_attempts = 0\",\n \"def retries(self, count: int):\\n if count < 0:\\n raise ValueError(\\\"negative\\\")\\n\\n self._retries = count\",\n \"def reset_login_attempts(self):\\n self.login_attempts = 0\",\n \"def reset_login_attempts(self):\\n self.login_attempts = 0\",\n \"def reset_login_attempts(self):\\n self.login_attempts = 0\",\n \"def reset_login_attempts(self):\\n self.login_attempts = 0\",\n \"def reset_login_attempts(self):\\n self.login_attempts = 0\",\n \"def reset_login_attempts(self):\\n self.login_attempts = 0\",\n \"def winhttp_WinHttpResetAutoProxy(jitter):\\n ret_ad, args = jitter.func_args_stdcall([\\\"hSession\\\", \\\"dwFlags\\\"])\\n raise RuntimeError('API not implemented')\\n jitter.func_ret_stdcall(ret_ad, ret_value)\",\n \"def set(self, session):\\n raise InvalidSessionException('Need to be implemented')\",\n \"def default_setup(self, mocker):\\n # pylama: ignore=W0201\\n session_cls = mocker.patch.object(requests, 'Session')\\n self.session = mocker.MagicMock()\\n self.session.__enter__.return_value = self.session\\n session_cls.return_value = self.session\\n\\n self.response = mocker.Mock()\\n response_cls = mocker.patch.object(requests, 'Response')\\n response_cls.return_value = self.response\\n self.session.get.return_value = self.response\\n self.session.post.return_value = self.response\",\n \"def retry(self, envelope):\\n # type: (RetryPolicy, Envelope) -> None\\n raise NotImplementedError()\",\n \"def auto_retry(fun):\\n\\n @functools.wraps(fun)\\n def decorated(instance, *args, **kwargs):\\n \\\"\\\"\\\"Wrapper around a decorated function.\\\"\\\"\\\"\\n cfg = instance._retry_config\\n remaining_tries = cfg.retry_attempts\\n current_wait = cfg.retry_wait\\n retry_backoff = cfg.retry_backoff\\n last_error = None\\n\\n while remaining_tries >= 0:\\n try:\\n return fun(instance, *args, **kwargs)\\n except socket.error as e:\\n last_error = e\\n instance._retry_logger.warning('Connection failed: %s', e)\\n\\n remaining_tries -= 1\\n if remaining_tries == 0:\\n # Last attempt\\n break\\n\\n # Wait a bit\\n time.sleep(current_wait)\\n current_wait *= retry_backoff\\n\\n # All attempts failed, let's raise the last error.\\n raise last_error\\n\\n return decorated\",\n \"def SetIterationsAndRetries(self, iterations, retries):\\n if not isinstance(iterations, int) or iterations == 0 or iterations < -1:\\n raise ValueError(\\n 'In test %s, Iterations must be a positive integer or -1, not %r' % (\\n self.path, iterations))\\n if not isinstance(retries, int) or retries < -1:\\n raise ValueError(\\n 'In test %s, Retries must be a positive integer, 0, or -1, not %r' % (\\n self.path, retries))\\n self.iterations = float('inf') if iterations == -1 else iterations\\n self.retries = float('inf') if retries == -1 else retries\",\n \"def _init_session(session):\\n if session is None:\\n session = requests.Session()\\n return session\",\n \"def __init__(self, base_url: str | None = None):\\n super().__init__()\\n self._base_url = base_url\\n\\n self._custom_adapter: CustomAdapter | None = None\\n self.util = Util()\\n\\n # properties\\n self._log_curl: bool = False\\n self._mask_body = False\\n self._mask_headers = True\\n self._mask_patterns = None\\n self._rate_limit_handler = RateLimitHandler()\\n self._too_many_requests_handler = None\\n self.log = _logger\\n self.requests_to_curl = RequestsToCurl()\\n\\n # Add default Retry\\n self.retry()\",\n \"def test_set_session_wrong_method(self):\\n v1 = TLSv1_2_METHOD\\n v2 = TLSv1_METHOD\\n\\n key = load_privatekey(FILETYPE_PEM, server_key_pem)\\n cert = load_certificate(FILETYPE_PEM, server_cert_pem)\\n ctx = Context(v1)\\n ctx.use_privatekey(key)\\n ctx.use_certificate(cert)\\n ctx.set_session_id(b\\\"unity-test\\\")\\n\\n def makeServer(socket):\\n server = Connection(ctx, socket)\\n server.set_accept_state()\\n return server\\n\\n def makeOriginalClient(socket):\\n client = Connection(Context(v1), socket)\\n client.set_connect_state()\\n return client\\n\\n originalServer, originalClient = loopback(\\n server_factory=makeServer, client_factory=makeOriginalClient\\n )\\n originalSession = originalClient.get_session()\\n\\n def makeClient(socket):\\n # Intentionally use a different, incompatible method here.\\n client = Connection(Context(v2), socket)\\n client.set_connect_state()\\n client.set_session(originalSession)\\n return client\\n\\n with pytest.raises(Error):\\n loopback(client_factory=makeClient, server_factory=makeServer)\",\n \"def _retry_occurred(self):\",\n \"def set_connection(cls, user_name, password, end_point, session_verify):\\n if not session_verify:\\n requests.packages.urllib3.disable_warnings()\\n\\n cls.user_name = user_name\\n cls.password = password\\n cls.end_point = end_point\\n\\n cls.session = requests.Session()\\n cls.session.auth = HTTPBasicAuth(user_name, password)\\n cls.session.verify = session_verify\",\n \"def setUp(self):\\n\\n self._patcher = patch('requests.Session', autospec=True)\\n self._mock_session = self._patcher.start()\\n instance = self._mock_session.return_value\\n # Add \\\"headers\\\" attribute\\n instance.headers = {}\\n # By default, return a successfull response\\n self.setSessionResponse(200)\",\n \"def max_retries(self, max_retries: ConfigNodePropertyInteger):\\n\\n self._max_retries = max_retries\",\n \"def reset( self ):\\n\\t\\t\\n\\t\\t# If proxy changes, gather some new proxy-related details\\n\\t\\tif self.__current_proxy != self.proxy:\\n\\t\\t\\tself.pick_a_new_proxy_ip()\\n\\t\\t\\treturn\\n\\t\\t\\n\\t\\tif self.http:\\n\\t\\t\\tself.http.close()\\n\\t\\tif self.https:\\n\\t\\t\\tself.https.close()\\n\\t\\t\\n\\t\\t#print \\\"Browser reset:\\\", self.__use_this_proxy\\n\\t\\t(proxy, alt_ip) = self.__use_this_proxy\\n\\t\\t\\n\\t\\tif proxy:\\n\\t\\t\\tself.http = OldProxyHTTPConnection( self.site, proxy, alt_ip )\\n\\t\\t\\ttry:\\n\\t\\t\\t\\tself.https = ProxyHTTPSConnection( self.site, proxy, alt_ip )\\n\\t\\t\\texcept socket.error:\\n\\t\\t\\t\\tself.https = None\\n\\t\\telse:\\n\\t\\t\\tself.https = httplib.HTTPSConnection( self.site )\\n\\t\\t\\tself.http = httplib.HTTPConnection( self.site )\\n\\t\\t\\n\\t\\tif self.debug:\\n\\t\\t\\tprint 'Reset connection'\\n\\t\\t\\tif self.http:\\n\\t\\t\\t\\tself.http.set_debuglevel(1)\\n\\t\\t\\tif self.https:\\n\\t\\t\\t\\tself.https.set_debuglevel(1)\",\n \"def _initialize_session(self):\\n session = requests.Session()\\n session.auth = (self.login, self.password)\\n session.verify = False\\n session.headers.update({'Accept': 'application/json'})\\n session.headers.update({'Content-type': 'application/json'})\\n return session\",\n \"def _new_session(self):\\n try:\\n self._session.close()\\n except (AttributeError,TypeError):\\n pass\\n self._session = requests.Session()\\n return self._session\",\n \"def configure_http_backend(backend_factory: BACKEND_FACTORY_T = requests.Session) -> None:\\n global _GLOBAL_BACKEND_FACTORY\\n _GLOBAL_BACKEND_FACTORY = backend_factory\\n _get_session_from_cache.cache_clear()\",\n \"def _set_requests(self):\\n self.settings.library = \\\"requests\\\"\\n self.settings.requests = import_module(\\\"requests\\\")\\n self.settings.urllib2 = False\",\n \"def create_mock_session(self, base_url):\\n logger.debug(\\\"robotframework-wiremock libary version: {}\\\".format(__version__))\\n self.base_url = base_url\\n self.session = requests.Session()\",\n \"def set_session(session):\\n\\n global session_\\n session_ = session\\n import observatory.api.server.api as api\\n\\n api.session_ = session\",\n \"def _retry_request(self, request, timeout=2, attempts=3):\\n import googleapiclient\\n\\n try:\\n return request.execute()\\n except BrokenPipeError as ex:\\n if attempts > 0:\\n time.sleep(timeout)\\n return self._retry_request(request, timeout * 2, attempts - 1)\\n raise ex\\n except googleapiclient.errors.HttpError as ex:\\n log_verbose_traceback(ex)\\n raise ex\\n except Exception as ex:\\n log_verbose_traceback(ex)\\n raise ex\",\n \"def __init__(self, host, username, password, is_ssl=False, retries=None):\\r\\n self.host = host\\r\\n self.username = username\\r\\n self.password = password\\r\\n self.is_ssl = self.is_true(is_ssl)\\r\\n self.retries = retries\",\n \"def test_method_selection(self, method):\\n wsgi._retryable(method, 'http://some.thing')\\n\\n getattr(self.session, method).assert_called_once_with(\\n 'http://some.thing'\\n )\",\n \"def setSessionParameters(self,\\n url=None,\\n protocols=None,\\n server=None,\\n headers=None,\\n externalPort=None):\",\n \"def __init__(\\n self, host, password, username='smile', port=80, timeout=DEFAULT_TIMEOUT, websession=None, legacy_anna=False,\\n ):\\n\\n if websession is None:\\n async def _create_session():\\n return aiohttp.ClientSession()\\n\\n loop = asyncio.get_event_loop()\\n self.websession = loop.run_until_complete(_create_session())\\n else:\\n self.websession = websession\\n\\n self._auth=aiohttp.BasicAuth(username, password=password)\\n\\n self._legacy_anna = legacy_anna\\n self._timeout = timeout\\n self._endpoint = \\\"http://\\\" + host + \\\":\\\" + str(port)\\n self._throttle_time = None\\n self._throttle_all_time = None\\n self._domain_objects = None\",\n \"def __init__(self, session, retries=2):\\n\\n super(SkysparkAuthenticateOperation, self).__init__()\\n self._retries = retries\\n self._session = session\\n self._cookie = None\\n self._nonce = None\\n self._username = None\\n self._user_salt = None\\n self._digest = None\\n self._login_uri = '%s/auth/%s/api?%s' % \\\\\\n (session._client.uri, session._project, session._username)\\n self._state_machine = fysom.Fysom(\\n initial='init', final='done',\\n events=[\\n # Event Current State New State\\n ('get_new_session', 'init', 'newsession'),\\n ('do_login', 'newsession', 'login'),\\n ('login_done', 'login', 'done'),\\n ('exception', '*', 'failed'),\\n ('retry', 'failed', 'newsession'),\\n ('abort', 'failed', 'done'),\\n ], callbacks={\\n 'onenternewsession': self._do_new_session,\\n 'onenterlogin': self._do_login,\\n 'onenterfailed': self._do_fail_retry,\\n 'onenterdone': self._do_done,\\n })\",\n \"def request( # pylint: disable=arguments-differ\\n self, method: str, url: str, **kwargs\\n ) -> object:\\n if self.base_url is not None and not url.startswith('https'):\\n url = f'{self.base_url}{url}'\\n\\n # this kwargs value is used to signal 429 handling that this is a retry, but the super\\n # method doesn't expect it so it needs to be removed.\\n tc_is_retry = kwargs.pop('tc_is_retry', False)\\n\\n response: Response = super().request(method, url, **kwargs)\\n\\n if response.status_code == 429 and not tc_is_retry:\\n too_many_requests_handler = self.too_many_requests_handler\\n time.sleep(too_many_requests_handler(response))\\n kwargs['tc_is_retry'] = True\\n return self.request(method, url, **kwargs)\\n\\n # APP-79 - adding logging of request as curl commands\\n if not response.ok or self.log_curl:\\n try:\\n self.log.debug(\\n self.requests_to_curl.convert(\\n response.request,\\n mask_body=self.mask_body,\\n mask_headers=self.mask_headers,\\n mask_patterns=self.mask_patterns,\\n proxies=self.proxies,\\n verify=self.verify,\\n )\\n )\\n except Exception: # nosec\\n pass # logging curl command is best effort\\n\\n self.log.debug(\\n f'feature=external-session, request-url={response.request.url}, '\\n f'status_code={response.status_code}, elapsed={response.elapsed}'\\n )\\n\\n return response\",\n \"def test_disable_limiter(monkeypatch):\\n monkeypatch.setattr(planet.http, 'RATE_LIMIT', 0)\\n monkeypatch.setattr(planet.http, 'MAX_ACTIVE', 0)\",\n \"def close(self):\\n self.should_connect = False\\n self.retry = 0\\n self.resp.close()\",\n \"def retry_after(self, delay: float, request_method: Callable, *args: Any, **kwargs: Any) -> 'NetworkResponse':\\n raise NotImplementedError # pragma: no cover\",\n \"def set_keepalive(self):\\n self._session._transport.set_keepalive(60)\",\n \"def request( self, method, location, parameters, headers, secure ):\\n\\t\\tif self.__current_proxy != self.proxy:\\n\\t\\t\\tself.reset()\\n\\t\\t\\tprint \\\"proxy changed: %r\\\" % (self,)\\n\\t\\t\\n\\t\\tif self.proxy_must_match:\\n\\t\\t\\tif ( self.proxy is None ) or ( not self.proxy_must_match.search(self.proxy) ):\\n\\t\\t\\t\\traise ValueError(\\\"Invalid proxy %r!!! Conflicts with proxy_must_match value!\\\" % (self.proxy,))\\n\\t\\t\\n\\t\\tif self.print_requests:\\n\\t\\t\\tprint \\\"%s %s %r %r\\\" % (secure and 'HTTPS' or 'HTTP', method, location, self.__use_this_proxy,)\\n\\t\\t\\n\\t\\tif self.requests_before_reconnect > 0:\\n\\t\\t\\tif self.requests_count > self.requests_before_reconnect:\\n\\t\\t\\t\\t#open new connection\\n\\t\\t\\t\\tself.requests_count = 1\\n\\t\\t\\t\\tself.reset()\\n\\t\\t\\tself.requests_count += 1\\n\\n\\t\\tif secure:\\n\\t\\t\\tconn = self.https\\n\\t\\telse:\\n\\t\\t\\tconn = self.http\\n\\n\\t\\tif self.debug:\\n\\t\\t\\tprint conn\\n\\n\\t\\tif headers and 'Referrer' in headers:\\n\\t\\t\\traise ValueError(\\\"Incorrect spelling - use referer not referrer\\\")\\n\\n\\t\\t# This strips out the :443 of https connections from the Host header by setting it manually.\\n\\t\\tif not 'Host' in headers:\\n\\t\\t\\theaders['Host'] = self.site\\n\\t\\t\\n\\t\\ttry:\\n\\t\\t\\ttry:\\n\\t\\t\\t\\tconn.request( method, location, parameters, headers )\\n\\t\\t\\texcept socket.error:\\n\\t\\t\\t\\tconn.close()\\n\\t\\t\\t\\tconn.request( method, location, parameters, headers )\\n\\t\\t\\texcept httplib.CannotSendRequest:\\n\\t\\t\\t\\tconn.close()\\n\\t\\t\\t\\tconn.request( method, location, parameters, headers )\\n\\t\\t\\t\\n\\t\\t\\ttry:\\n\\t\\t\\t\\tresp = conn.getresponse()\\n\\t\\t\\texcept httplib.BadStatusLine:\\n\\t\\t\\t\\tconn.close()\\n\\t\\t\\t\\tconn.request( method, location, parameters, headers )\\n\\t\\t\\t\\tresp = conn.getresponse()\\n\\t\\t\\texcept httplib.CannotSendRequest:\\n\\t\\t\\t\\tconn.close()\\n\\t\\t\\t\\tconn.request( method, location, parameters, headers )\\n\\t\\t\\t\\tresp = conn.getresponse()\\n\\t\\texcept Exception, e:\\n\\t\\t\\tprint \\\"Reset browser.py %r because error %r\\\" % (self, e,)\\n\\t\\t\\tself.reset()\\n\\t\\t\\traise\\n\\t\\t\\n\\t\\tcookie = resp.getheader( 'set-cookie' )\\n\\t\\tif cookie:\\n\\t\\t\\tself.cookies.add( cookie )\\n\\t\\t\\n\\t\\tprotocol = 'http'\\n\\t\\tif secure:\\n\\t\\t\\tprotocol = 'https'\\n\\t\\tself.last_visited = '%s://%s%s' % (protocol, self.site, location)\\n\\t\\t\\n\\t\\t# if this is a redirect:\\n\\t\\tif resp.status >= 300 and resp.status < 400:\\n\\t\\t\\t# check if the site was specified and it differs from\\n\\t\\t\\t# the current one\\n\\t\\t\\tconn.close()\\n\\t\\t\\tlocation = resp.getheader('location')\\n\\t\\t\\t#print \\\"redirecting to \\\", location\\n\\t\\t\\tparsed_location = urlparse.urlparse(location)\\n\\t\\t\\thttp_or_https = protocol\\n\\t\\t\\tcls = LocalRedirect\\n\\t\\t\\tif parsed_location[1]:\\n\\t\\t\\t\\tif parsed_location[1] != self.site:\\n\\t\\t\\t\\t\\tcls = ExternalRedirect\\n\\t\\t\\t\\telse:\\n\\t\\t\\t\\t\\t# ignore the beginning bit\\n\\t\\t\\t\\t\\thttp_or_https = parsed_location[0]\\n\\t\\t\\t\\t\\tparsed_location = list(parsed_location)\\n\\t\\t\\t\\t\\tparsed_location[0] = ''\\n\\t\\t\\t\\t\\tparsed_location[1] = ''\\n\\t\\t\\t\\t\\tlocation = urlparse.urlunparse(parsed_location)\\n\\t\\t\\t# raise an exception for the redirection\\n\\t\\t\\traise cls(location, resp.status, resp.reason, resp, http_or_https)\\n\\t\\t\\n\\t\\t# set the location that was visited, in case it differs from that which\\n\\t\\t# was specified (i.e because of a redirect)\\n\\t\\tresp.location = location\\n\\t\\treturn resp\",\n \"def reconnect(func):\\n\\n @wraps(func)\\n def _reconnect(self, *args, **kwargs):\\n \\\"\\\"\\\"\\n Inner wrap function to reconnect on failure\\n \\\"\\\"\\\"\\n try:\\n return func(self, *args, **kwargs)\\n except ldap.LDAPError:\\n self.connect()\\n return func(self, *args, **kwargs)\\n\\n return _reconnect\",\n \"def reset_login_attempts(self):\\n self.attributes['login_attempts'] = 0\",\n \"def _reconnect(self, *args, **kwargs):\\n try:\\n return func(self, *args, **kwargs)\\n except ldap.LDAPError:\\n self.connect()\\n return func(self, *args, **kwargs)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.68190426","0.656107","0.65234107","0.6376474","0.63384855","0.6149356","0.60859877","0.59891427","0.5915869","0.5900037","0.56298727","0.56103295","0.54669577","0.5369005","0.53306866","0.53249484","0.52559197","0.52061677","0.520381","0.51781654","0.51763666","0.51289994","0.50698125","0.5067826","0.5055543","0.505265","0.5046485","0.50286305","0.50280195","0.5016264","0.4981558","0.4979298","0.4963133","0.4942761","0.4940266","0.49353245","0.4930142","0.49228036","0.49075326","0.49057442","0.4892364","0.4864278","0.4852136","0.4851613","0.4834124","0.48323733","0.48304328","0.48226684","0.48079583","0.48001516","0.4789428","0.47724205","0.47716507","0.4767159","0.47634196","0.47629204","0.47572085","0.47572085","0.47466177","0.47432604","0.47432604","0.47432604","0.47432604","0.47432604","0.47432604","0.47432378","0.47394192","0.47354946","0.47336614","0.47293386","0.47286052","0.47161126","0.47150734","0.47099853","0.46921957","0.46877328","0.46823367","0.46811318","0.46797234","0.46660098","0.4664366","0.46639115","0.4658418","0.4657913","0.4656402","0.4651432","0.46270025","0.46248543","0.46236306","0.46219042","0.46189922","0.46181008","0.46164435","0.4616304","0.4614802","0.45987758","0.4598652","0.45928916","0.4581004","0.45721045"],"string":"[\n \"0.68190426\",\n \"0.656107\",\n \"0.65234107\",\n \"0.6376474\",\n \"0.63384855\",\n \"0.6149356\",\n \"0.60859877\",\n \"0.59891427\",\n \"0.5915869\",\n \"0.5900037\",\n \"0.56298727\",\n \"0.56103295\",\n \"0.54669577\",\n \"0.5369005\",\n \"0.53306866\",\n \"0.53249484\",\n \"0.52559197\",\n \"0.52061677\",\n \"0.520381\",\n \"0.51781654\",\n \"0.51763666\",\n \"0.51289994\",\n \"0.50698125\",\n \"0.5067826\",\n \"0.5055543\",\n \"0.505265\",\n \"0.5046485\",\n \"0.50286305\",\n \"0.50280195\",\n \"0.5016264\",\n \"0.4981558\",\n \"0.4979298\",\n \"0.4963133\",\n \"0.4942761\",\n \"0.4940266\",\n \"0.49353245\",\n \"0.4930142\",\n \"0.49228036\",\n \"0.49075326\",\n \"0.49057442\",\n \"0.4892364\",\n \"0.4864278\",\n \"0.4852136\",\n \"0.4851613\",\n \"0.4834124\",\n \"0.48323733\",\n \"0.48304328\",\n \"0.48226684\",\n \"0.48079583\",\n \"0.48001516\",\n \"0.4789428\",\n \"0.47724205\",\n \"0.47716507\",\n \"0.4767159\",\n \"0.47634196\",\n \"0.47629204\",\n \"0.47572085\",\n \"0.47572085\",\n \"0.47466177\",\n \"0.47432604\",\n \"0.47432604\",\n \"0.47432604\",\n \"0.47432604\",\n \"0.47432604\",\n \"0.47432604\",\n \"0.47432378\",\n \"0.47394192\",\n \"0.47354946\",\n \"0.47336614\",\n \"0.47293386\",\n \"0.47286052\",\n \"0.47161126\",\n \"0.47150734\",\n \"0.47099853\",\n \"0.46921957\",\n \"0.46877328\",\n \"0.46823367\",\n \"0.46811318\",\n \"0.46797234\",\n \"0.46660098\",\n \"0.4664366\",\n \"0.46639115\",\n \"0.4658418\",\n \"0.4657913\",\n \"0.4656402\",\n \"0.4651432\",\n \"0.46270025\",\n \"0.46248543\",\n \"0.46236306\",\n \"0.46219042\",\n \"0.46189922\",\n \"0.46181008\",\n \"0.46164435\",\n \"0.4616304\",\n \"0.4614802\",\n \"0.45987758\",\n \"0.4598652\",\n \"0.45928916\",\n \"0.4581004\",\n \"0.45721045\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6642945"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":89996,"cells":{"query":{"kind":"string","value":"Execute the gremlin query and return the response."},"document":{"kind":"string","value":"def execute_gremlin_dsl(self, payloads):\n url = \"http://{host}:{port}\".format(\n host=os.environ.get(\"BAYESIAN_GREMLIN_HTTPINGESTION_SERVICE_HOST\", \"localhost\"),\n port=os.environ.get(\"BAYESIAN_GREMLIN_HTTPINGESTION_SERVICE_PORT\", \"8181\"))\n try:\n payload = json.dumps(payloads)\n resp = self.get_session_retry().post(\n url, headers={'Content-Length': str(len(payload))}, data=payload)\n if resp.status_code == 200:\n json_response = resp.json()\n data = json_response.get(\"result\", {}).get(\"data\", [])\n if len(data) > 0:\n logger.info(\"Success\")\n else:\n logger.info(\"Something went wrong. No updates happened.\")\n return None\n return json_response\n else:\n logger.error(\"HTTP error {}. Error retrieving Gremlin data.\".format(\n resp.status_code))\n return None\n\n except Exception as e:\n logger.error(e)\n return None"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def gremlin_action(token, query):\n http = urllib3.PoolManager(\n cert_reqs=\"CERT_REQUIRED\", ca_certs=certifi.where())\n # Headers are how we pass through the token.\n headers = {\"Content-Type\": \"application/json\"}\n headers[\"X-Language\"] = \"en-us\"\n headers[\"X-Auth-Token\"] = token\n\n my_project_id = \"454add6b26d04f53ae5c593551acf1ff\"\n my_graph_id = \"d12f493e-975b-40e2-b278-76da8fe964fc\" # photos_new\n my_graph_name = \"photos_new\"\n my_region = \"ges.cn-north-1\"\n\n # action = \"start\"\n # action = \"stop\"\n action = \"execute-gremlin-query\"\n base = \"{}.myhuaweicloud.com\".format(my_region)\n\n url = \"https://{}/v1.0/{}/graphs/{}/action?action_id={}\".format(\n base, my_project_id, my_graph_id, action)\n\n data = {\"command\": query}\n r = http.request(\"POST\", url, headers=headers, body=json.dumps(data))\n output = json.loads(r.data)\n return output['data']","def execute_gremlin(client: NeptuneClient, query: str) -> pd.DataFrame:\n results = client.read_gremlin(query)\n df = pd.DataFrame.from_records(results)\n return df","async def run_query(query):\n async with httpx.AsyncClient(timeout=None) as client:\n response = await client.post(\n BLAZEGRAPH_URL,\n headers=BLAZEGRAPH_HEADERS,\n data=query,\n )\n assert response.status_code < 300\n return response.json()['results']['bindings']","def execute_query(query, params={}, transaction=True, context=\"\"):\r\n if transaction:\r\n query = \"g.stopTransaction(FAILURE)\\n\" + query\r\n\r\n # If we have no hosts available raise an exception\r\n if len(_hosts) <= 0:\r\n raise ThunderdomeConnectionError('Attempt to execute query before calling thunderdome.connection.setup')\r\n \r\n host = _hosts[0]\r\n #url = 'http://{}/graphs/{}/tp/gremlin'.format(host.name, _graph_name)\r\n data = json.dumps({'script':query, 'params': params})\r\n headers = {'Content-Type':'application/json', 'Accept':'application/json', 'Accept-Charset':'utf-8'}\r\n import time\r\n try:\r\n start_time = time.time()\r\n conn = httplib.HTTPConnection(host.name, host.port)\r\n conn.request(\"POST\", '/graphs/{}/tp/gremlin'.format(_graph_name), data, headers)\r\n response = conn.getresponse()\r\n content = response.read()\r\n\r\n total_time = int((time.time() - start_time) * 1000)\r\n\r\n if context and _statsd:\r\n _statsd.timing(\"{}.timer\".format(context), total_time)\r\n _statsd.incr(\"{}.counter\".format(context))\r\n\r\n\r\n except socket.error as sock_err:\r\n if _statsd:\r\n total_time = int((time.time() - start_time) * 1000)\r\n _statsd.incr(\"thunderdome.socket_error\".format(context), total_time)\r\n raise ThunderdomeQueryError('Socket error during query - {}'.format(sock_err))\r\n except:\r\n raise\r\n \r\n logger.info(json.dumps(data))\r\n logger.info(content)\r\n\r\n try:\r\n response_data = json.loads(content)\r\n except ValueError as ve:\r\n raise ThunderdomeQueryError('Loading Rexster results failed: \"{}\"'.format(ve))\r\n \r\n if response.status != 200:\r\n if 'message' in response_data and len(response_data['message']) > 0:\r\n graph_missing_re = r\"Graph \\[(.*)\\] could not be found\"\r\n if re.search(graph_missing_re, response_data['message']):\r\n raise ThunderdomeGraphMissingError(response_data['message'])\r\n else:\r\n raise ThunderdomeQueryError(\r\n response_data['message'],\r\n response_data\r\n )\r\n else:\r\n if _statsd:\r\n _statsd.incr(\"{}.error\".format(context))\r\n raise ThunderdomeQueryError(\r\n response_data['error'],\r\n response_data\r\n )\r\n\r\n return response_data['results']","def run_query(self, query: str) -> BoltStatementResult:\n with self.neo4j_driver.driver.session() as session:\n return session.run(query)","def query(output, query):\n gqlapi = gql.get_api()\n print_output(output, gqlapi.query(query))","def run_graphql_query(\n self,\n query,\n headers,\n status_code=200):\n request = requests.post(PH_API_URL, data=json.dumps(query), headers=headers)\n if request.status_code == status_code:\n return request.json()\n else:\n raise Exception(\n \"Unexpected status code returned: {}\".format(\n request.status_code)\n )","def run_query(self):\n return _run_query(self.query)","def execute(self) -> Dict:\n return self.session.execute({\"process_graph\": self.graph})","def execute(self) -> Dict:\n return self.connection.execute({\"process_graph\": self.graph})","def execute(self):\n return RegistryResults(self.execute_votable(), self.queryurl)","def execute_query(self):\n try:\n # get query and templates\n query = self.request.data.get(\"query\", None)\n templates = self.request.data.get(\"templates\", \"[]\")\n registries = self.get_registries()\n order_by_field = self.request.data.get(\"order_by_field\", \"\")\n\n if order_by_field:\n order_by_field = order_by_field.split(\",\")\n\n if query is None:\n content = {\"message\": \"Query should be passed in parameter.\"}\n return Response(content, status=status.HTTP_400_BAD_REQUEST)\n\n # prepare query\n raw_query = self.build_query(query, templates, registries)\n # execute query\n data_list = self.execute_json_query(raw_query, order_by_field)\n # build and return response\n return self.build_response(data_list)\n\n except Exception as api_exception:\n content = {\"message\": str(api_exception)}\n return Response(\n content, status=status.HTTP_500_INTERNAL_SERVER_ERROR\n )","def execute(self, shallow=False):\r\n # start by constructing the url\r\n url = self._make_url()\r\n # now make the request\r\n logger.info('querying {}'.format(url))\r\n result = GraphQuery.request_until_success(url)\r\n # now we will go through and try and expand anything that needs it\r\n if 'data' in result:\r\n result = {'lol':result} # yeah this seems odd\r\n for key in result:\r\n GraphQuery.expand(result[key])\r\n return result","def _run_query(self):","def execute_gql_query(\n self, gql_name: str, **kwargs\n ) -> Union[dict, list, int]:\n self._query_type = \"query\"\n data = self._exec(gql_name, kwargs)\n return data","def execQuery():\n\n if request.method == \"POST\":\n result = exec_query(request)\n if result:\n status = 200\n else:\n status = 400\n return result, status # HTTP Status Created [201]","def _send_gql_request(gateway_port):\n mutation = (\n f'mutation {{'\n + '''docs(data: {text: \"abcd\"}) { \n id \n } \n }\n '''\n )\n c = Client(host='localhost', port=gateway_port, protocol='http')\n return c.mutate(mutation=mutation)","def __call__(self, data):\n return data.eval(self.query)","def query(self):\n pass","def execute_query():\n start_time = time.time()\n\n queries = request.json[\"queries\"]\n random_command = request.json[\"random_command\"]\n\n \"\"\" Running the queries against the pre-loaded index. \"\"\"\n output_dict = runner.run_queries(queries, random_command)\n\n \"\"\" Dumping the results to a JSON file. \"\"\"\n with open(output_location, 'w') as fp:\n json.dump(output_dict, fp)\n\n response = {\n \"Response\": output_dict,\n \"time_taken\": str(time.time() - start_time),\n \"username_hash\": username_hash\n }\n return flask.jsonify(response)","def go(self):\n async_response = self._ixnhttp.post('/operations/query', self._query)\n if async_response.state == 'SUCCESS':\n if isinstance(async_response.result[0], list):\n ixnobjects = []\n for item in async_response.result[0]:\n ixnobjects.append(IxnObject(self._ixnhttp, item))\n return ixnobjects\n else:\n return IxnObject(self._ixnhttp, async_response.result[0])\n else:\n return None","def _run_query(self):\n self._search_query()\n logger.debug(\"Payload\")\n logger.debug(self._payload)\n _resp = query_public_ip_pools(self._payload)\n logger.debug(_resp)\n _resp = self.load_json(_resp)\n _ret_list = []\n if _resp is None:\n self._record_total = self._record_filtered = 0\n return []\n _ret_list = _resp[\"ret_set\"]\n self._record_filtered = self._record_total = _resp.get(\"total_count\") or 100\n return _ret_list","def query(self, query):","def _run_query(self, query):\n cursor = self.conn.cursor()\n cursor.execute(query)\n return cursor.fetchall()","def query(self):","def render_POST(self, request, query=None):\n # make a parser and parse the request\n parser = qp.QueryParser(request)\n if not query: query = request.content.read() \n try: \n # run the query locally\n d = parser.runquery(self.db, query)\n except Exception, e:\n log.err(\"Failing query: \" + str(query))\n log.err()\n setResponseCode(request, e, 400)\n return str(e)\n else:\n # and send the reply\n request.setHeader('Content-type', 'application/json')\n\n if not query.strip().startswith('apply'):\n # apply streams the output out itself\n d.addCallback(lambda reply: (request, reply))\n d.addCallback(self.send_reply)\n d.addErrback(lambda x: self.send_error(request, x))\n return server.NOT_DONE_YET","def execute(self, context):\n logging.info(f\"Running SQL :{self.sql}\")\n self.hook = TrinoHook()\n query = self.hook.run(self.sql, autocommit=self.autocommit, parameters=self.parameters)\n if self.xcom_push:\n return query","def execute(self, request):\n CheckValue.check_not_none(request, 'request')\n request.set_defaults(self._config)\n request.validate()\n if request.is_query_request():\n self._stats_control.observe_query(request)\n\n \"\"\"\n The following 'if' may be True for advanced queries only. For such\n queries, the 'if' will be True (i.e., the QueryRequest will be bound\n with a QueryDriver) if and only if this is not the 1st execute()\n call for this query. In this case we just return a new, empty\n QueryResult. Actual computation of a result batch will take place\n when the app calls get_results() on the QueryResult.\n \"\"\"\n if request.has_driver():\n self._trace('QueryRequest has QueryDriver', 2)\n return QueryResult(request, False)\n \"\"\"\n If it is an advanced query and we are here, then this must be the\n 1st execute() call for the query. If the query has been prepared\n before, we create a QueryDriver and bind it with the QueryRequest.\n Then, we create and return an empty QueryResult. Actual computation\n of a result batch will take place when the app calls get_results()\n on the QueryResult.\n \"\"\"\n if request.is_prepared() and not request.is_simple_query():\n self._trace(\n 'QueryRequest has no QueryDriver, but is prepared', 2)\n driver = QueryDriver(request)\n driver.set_client(self)\n driver.set_topology_info(request.topology_info())\n return QueryResult(request, False)\n \"\"\"\n If we are here, then this is either (a) a simple query or (b) an\n advanced query that has not been prepared already, which also\n implies that this is the 1st execute() call on this query. For a\n non-prepared advanced query, the effect of this 1st execute() call\n is to send the query to the proxy for compilation, get back the\n prepared query, but no query results, create a QueryDriver, and bind\n it with the QueryRequest (see QueryRequestSerializer.deserialize()),\n and return an empty QueryResult.\n \"\"\"\n self._trace(\n 'QueryRequest has no QueryDriver and is not prepared', 2)\n timeout_ms = request.get_timeout()\n headers = {'Host': self._url.hostname,\n 'Content-Type': 'application/octet-stream',\n 'Connection': 'keep-alive',\n 'Accept': 'application/octet-stream',\n 'User-Agent': self._user_agent}\n\n # set the session cookie if available\n if self._session_cookie is not None:\n headers['Cookie'] = self._session_cookie\n\n # set namespace if configured\n namespace = request.get_namespace()\n if namespace is None:\n namespace = self._config.get_default_namespace()\n if namespace is not None:\n headers[HttpConstants.REQUEST_NAMESPACE_HEADER] = namespace\n\n content = self.serialize_request(request, headers)\n content_len = len(content)\n # If on-premise the auth_provider will always be a\n # StoreAccessTokenProvider. If so, check against configurable limit.\n # Otherwise check against internal hardcoded cloud limit.\n if isinstance(self._auth_provider, StoreAccessTokenProvider):\n if content_len > self._max_content_length:\n raise RequestSizeLimitException(\n 'The request size of ' + str(content_len) + ' exceeded ' +\n 'the limit of ' + str(self._max_content_length))\n if request.get_compartment() is None:\n request.set_compartment_internal(\n self._config.get_default_compartment())\n if self._logutils.is_enabled_for(DEBUG):\n self._logutils.log_debug('Request: ' + request.__class__.__name__)\n request_id = self._next_request_id()\n headers[HttpConstants.REQUEST_ID_HEADER] = request_id\n self.check_request(request)\n # TODO: look at avoiding creating this object on each request\n request_utils = RequestUtils(\n self._sess, self._logutils, request, self._retry_handler, self,\n self._rate_limiter_map)\n return request_utils.do_post_request(self._request_uri, headers,\n content, timeout_ms,\n self._stats_control)","def execute(self):\n return SLAResults(self.execute_votable(), self.getqueryurl())","def execute(self):\n return SLAResults(self.execute_votable(), self.getqueryurl())","def execute_query(self, *, scope: Scope, params: QueryParams) -> QueryResults:","def _run_query(self):\n self._search_query()\n logger.debug(\"Payload\")\n logger.debug(self._payload)\n _resp = query_public_ip_pool_detail(self._payload)\n logger.debug(_resp)\n _resp = self.load_json(_resp)\n _ret_list = []\n if _resp is None:\n self._record_total = self._record_filtered = 0\n return []\n _ret_list = _resp[\"ret_set\"]\n self._record_filtered = self._record_total = _resp.get(\"total_count\") or 100\n return _ret_list","def request(query):","def execute_query(self) -> dict or list:\n pass","def query(self) -> None:\n raise NotImplementedError()","def raw_query(self, query: str):\n\n async def func():\n result = await LemkPgUtils.get_query_result(self.dsn, query)\n return result\n\n return self._run_async(func())","def __call__(self, command):\n return self.execute(command).response.body","def get(self, request):\n return self.execute_query()","def execute_query(self, *args, **kwargs):","def post(self, request):\n return self.execute_query()","def process(self, query):\n response_text = self.fetch(query)\n content = self.get_content(response_text)\n return content","def run_query(self, query, limit = None):\n if limit is not None:\n query += 'LIMIT ' + str(limit)\n query_job = self.bigquery_client.query(query) # API request\n return query_job.result() # Waits for query to finish","def execute(self, *args, **kwargs):\n return self.engine.execute(*args, **kwargs)","def execute(self, *args, **kwargs):\n return self.engine.execute(*args, **kwargs)","def gremlin(request):\n raise Exception(\"This endpoint is throwing a 500 error!\")","def execute(self, dbname, query, username=None, commit=False):\n with self.connect(dbname, username) as node_con:\n res = node_con.execute(query)\n if commit:\n node_con.commit()\n return res","def post(self):\n # argument parsing\n parser = reqparse.RequestParser()\n parser.add_argument('query', 'str')\n args = parser.parse_args()\n user_query = args['query']\n # convert query to array\n model_input = self.convert_query(user_query)\n prediction = self.model.predict(model_input)[0]\n response = make_response(render_template_string(\n self.make_post_return(prediction)), 200)\n response.headers['mime-type'] = 'text/html'\n return response","def query(self, query):\n # if self._send > self._reset:\n # self.reconnect()\n query = format_query(query)\n try:\n self.socket.send(query)\n except socket.error:\n raise ConnectionError('Server is not running.')\n answer = self._stream()\n self._send += 1\n answer = format_answer(answer)\n return answer","async def submit(self, message, bindings=None):\n if isinstance(message, traversal.Bytecode):\n message = request.RequestMessage(\n processor='traversal', op='bytecode',\n args={'gremlin': message,\n 'aliases': self._aliases})\n elif isinstance(message, str):\n message = request.RequestMessage(\n processor='', op='eval',\n args={'gremlin': message,\n 'aliases': self._aliases})\n if bindings:\n message.args.update({'bindings': bindings})\n conn = await self.cluster.get_connection(hostname=self._hostname)\n resp = await conn.write(message)\n self._loop.create_task(conn.release_task(resp))\n return resp","def run(self):\n query = VectorQuery(self.username, self.password, self.api_key)\n query.log_in()\n new_geometries = query.query_geometries(geometry_params=self.geometry_params)\n self.geometry_object.task_complete.emit(self.geometry_params, new_geometries)","def execute(self):\n if self.backend is not None:\n self._process_node(self.ast)\n return self.backend.get_output()\n else:\n raise UnrollerError(\"backend not attached\")","def query(self, query, authorization_required=True):\n url = 'https://{}/api/v1/graphql'.format(self.host)\n headers = {\n 'Content-Type': 'application/json',\n }\n json = {\n 'query': query,\n }\n # Login if not yet done\n if authorization_required:\n if not self.authorized:\n self.login()\n if self.token:\n headers['Authorization'] = 'Bearer {}'.format(self.token)\n\n request = self.session.post(\n url, headers=headers, json=json,\n verify=self.verify)\n return request","def execute(self) -> Any:\n return self.function(**self.kwargs)","def handleQuery(self,query):\n results = None\n return results","def query(self, **kwargs):","def exec_results(query):\n db = psycopg2.connect(database=DBNAME)\n c = db.cursor()\n c.execute(query)\n result = c.fetchall()\n db.close()\n return result","def query():\n query = request.json.get('query')\n variables = request.json.get('variables') # Todo: add handling variables\n logger.debug('Query: %s', request.json)\n result = schema.execute(query)\n result_hash = format_result(result)\n return result_hash","def execute(self):\n # type: () -> PrestoResult\n if self._cancelled:\n raise exceptions.PrestoUserError(\"Query has been cancelled\", self.query_id)\n\n if self.credentials is not None and not self.credentials.valid:\n self._request.http_session.headers.update(self._request.get_oauth_token())\n\n response = self._request.post(self._sql)\n status = self._request.process(response)\n self.query_id = status.id\n self._stats.update({\"queryId\": self.query_id})\n self._stats.update(status.stats)\n self._warnings = getattr(status, \"warnings\", [])\n if status.next_uri is None:\n self._finished = True\n self._result = PrestoResult(self, status.rows)\n while (\n not self._finished and not self._cancelled\n ):\n self._result._rows += self.fetch()\n return self._result","def cypher(self, query):\n from neomodel import db\n try:\n results, meta = db.cypher_query(query)\n except Exception as e:\n raise Exception(\n \"Failed to execute Cypher Query: %s\\n%s\" % (query, str(e)))\n return False\n # log.debug(\"Graph query.\\nResults: %s\\nMeta: %s\" % (results, meta))\n return results","def _run_query(self, inputs, state):\n in_shape = (self._query_batch,) + self._layer.input_shape\n queries = self._projection('Query', inputs, in_shape)\n return self._layer.apply(queries, list(state))","def _execute_green(self, query):\n if self._async_cursor:\n raise exceptions.ProgrammingError(\n \"a single async query can be executed on the same connection\")\n\n self._async_cursor = True\n\n if not libpq.PQsendQuery(self._pgconn, ascii_to_bytes(query)):\n self._async_cursor = None\n return\n\n self._async_status = consts.ASYNC_WRITE\n\n try:\n _green_callback(self)\n except Exception:\n self.close()\n raise\n else:\n return util.pq_get_last_result(self._pgconn)\n finally:\n self._async_cursor = None\n self._async_status = consts.ASYNC_DONE","def execute_query(driver,query):\n with driver.session() as session:\n results = session.run(query)\n return results","async def raw_query(self, query: str):\n result = await LemkPgUtils.get_query_result(self.dsn, query)\n return result","def execute_queries(event, **kwargs):\n\n for gp in __graph_patterns:\n prefixes, gen = get_query_generator(*eval(gp), stop_event=event, wait=True, **kwargs)\n log.info('querying ' + str(__graph_patterns))\n\n if gen is not None:\n for headers, res in gen:\n print headers, res\n listeners = __graph_patterns[gp]\n for c, args in listeners:\n log.debug('Sending result {} to {}'.format(res, c))\n c(res)\n yield (c.func_name, res)\n if event.isSet():\n break\n if event.isSet():\n raise Exception('Abort getting query results')\n\n log.debug('finished with ' + str(__graph_patterns))","def execute_query(self, query_, return_results_=False):\n\n try:\n if return_results_:\n logging.info(\"Fetching results...\")\n self.query_results = self.cursor.execute(query_)\n else:\n self.cursor.execute(query_)\n logging.info(\"Query ran successfully.\")\n\n except Exception as e:\n if self.airflow:\n # For Airflow, forces task to fail and set it up for re-try\n raise AirflowException(\"Error running query. {}\"\n .format(str(e)))\n else:\n logging.exception(\"Error running query.\")\n raise e","def execute():","def send(\n self,\n query: List[str],\n completion_callback: Optional[Callable[[int], Any]],\n query_handle: target.QueryHandle = None):\n worker = VertexGapicWorker(\n client=self._prediction_service_client,\n vertex_endpoint=self._vertex_endpoint,\n completion_callback=completion_callback,\n request=query,\n query_handle=query_handle)\n worker.start()","async def _perform_query(self, query, login_token):\n data = {\"username\": self.user, \"query\": query.lower(), \"token\": login_token}\n return await self._perform_request(\"query\", data, lambda r: r.text())","def execute_func(self, query, data):\n context = self.__context\n session = context.session()\n statement = SqlalchemyUtils().query_execute_function(query, data)\n with session as connection:\n query_result = connection.execute(statement)\n\n return query_result","def query(self):\r\n raise NotImplementedError","def execute_graphql_request(\n self, request, data, query, variables, operation_name, show_graphiql=False\n ):\n if not query:\n if show_graphiql:\n return None\n raise HttpError(HttpResponseBadRequest(\"Must provide query string.\"))\n\n try:\n backend = self.get_backend(request)\n document = backend.document_from_string(self.schema, query)\n except Exception as e:\n return ExecutionResult(errors=[e], invalid=True)\n\n if request.method.lower() == \"get\":\n operation_type = document.get_operation_type(operation_name)\n if operation_type and operation_type != \"query\":\n if show_graphiql:\n return None\n\n raise HttpError(\n HttpResponseNotAllowed(\n [\"POST\"],\n \"Can only perform a {} operation from a POST request.\".format(\n operation_type\n ),\n )\n )\n\n # Check request weight\n try:\n if self.list_limit or self.weight_limit or self.depth_limit:\n if document:\n fragments = get_fragments(document.document_ast.definitions)\n definitions_total_weight = 0\n for definition in document.document_ast.definitions:\n if not isinstance(definition, OperationDefinition):\n continue\n\n if operation_name and definition.name != operation_name:\n continue\n\n def_weight = self.calculate_action_weight(\n definition.selection_set,\n fragments)\n definitions_total_weight += def_weight\n if self.weight_limit and definitions_total_weight > self.weight_limit:\n raise QueryWeightExceeded(\"Your query exceeds the maximum query weight allowed\")\n except Exception as e:\n return ExecutionResult(errors=[e], invalid=True)\n\n try:\n extra_options = {}\n if self.executor:\n # We only include it optionally since\n # executor is not a valid argument in all backends\n extra_options[\"executor\"] = self.executor\n\n return document.execute(\n root_value=self.get_root_value(request),\n variable_values=variables,\n operation_name=operation_name,\n context_value=self.get_context(request),\n middleware=self.get_middleware(request),\n **extra_options\n )\n except Exception as e:\n return ExecutionResult(errors=[e], invalid=True)","def execute(self, query, classname=None, query_args=None):\r\n data = self.db.execute(query, query_args)\r\n return data","def execute(self, query, pars=False):\n raise NotImplementedError","def query(self, query, initNs=None, initBindings=None, queryGraph=None, **kwargs):\n\n# r_queryType = pattern.search(query).group(\"prefixes\").upper()\n# print(r_queryType)\n uri = self.rest_services[\"repository\"]\n infer = kwargs.get('infer',None)\n #timeout = kwargs.get('timeout',\"0\")\n payload = {\"$\"+k: v.n3() for k,v in initBindings.items()}\n\n payload[\"infer\"] = self.infer if infer is None else infer\n payload[\"infer\"] = str(payload[\"infer\"]).lower()\n #payload[\"$\"+timeout]=0\n payload[\"query\"] = query\n r = requests.post(uri, data=payload,\n stream=True,\n headers= {\"Accept\" : \"application/sparql-results+json,application/trix\",\n 'connection': 'keep-alive',\n 'Accept-Encoding': 'gzip,deflate',\n \"Content-Type\" :\"application/x-www-form-urlencoded\"})\n\n r.raw.decode_content = True\n if r.headers['Content-Type'] == 'application/sparql-results+json;charset=UTF-8':\n return self.__make_result(r)\n elif r.headers['Content-Type'] == 'application/trix;charset=UTF-8':\n return self.__make_trix_generator__(r)\n else:\n raise ValueError(\"Response content type not parsable {r}\".format(r=r.text))","def get(self):\n\n response = PluginHelper.request_get(params=self.request.arguments)\n if (\n response.status_code == 200\n and response.json()[\"status\"] == \"ok\"\n ):\n result_json = {\n \"results\": response.json()[\"results\"],\n }\n else:\n raise exc.BadRequest(\"Bad host query: {}\".format(\n self.request.arguments\n ))\n\n self.success(result_json)","def pgsql_query(self, query, values=None):\n if self.pgsql_configured():\n connection = psycopg2.connect(\n host=self.kv.get(\"pgsql_host\"),\n port=self.kv.get(\"pgsql_port\"),\n dbname=self.kv.get(\"pgsql_db\"),\n user=self.kv.get(\"pgsql_user\"),\n password=self.kv.get(\"pgsql_pass\"),\n )\n connection.set_session(autocommit=True)\n cursor = connection.cursor()\n try:\n hookenv.log(\n \"Executing query {} with values {}\".format(query, values),\n hookenv.DEBUG,\n )\n result = cursor.execute(query, vars=values)\n except psycopg2.Error as e:\n hookenv.log(\n \"Error {} from PostgreSQL when executing query {}\".format(\n e.diag.message_primary, query\n ),\n hookenv.ERROR,\n )\n return e.diag.message_primary\n hookenv.log(\"Query result: {}\".format(result), hookenv.DEBUG)\n cursor.close()\n connection.close()\n return result\n return False","def query(self, **kwargs):\n\n return query.query(self._host, self._session, **kwargs)","def doQuery(self, s):\n self.setQuery(s)\n\n try:\n rval = self.query()\n g = rval.convert()\n return g['results']['bindings']\n except:\n print \"doQuery failed\"\n traceback.print_exc(file=sys.stdout)","def run(self, req):\n\n if(self.isROS):\n featureList = []\n self.fov = self.geoPathToGPD(req.fov)\n else:\n self.fov = self.pickleToGPD(req)\n\n\n \n response = []\n \n featuresInView = gpd.sjoin(self.featureDataframe, self.fov, op='within') \n for index, feature in featuresInView.iterrows():\n if(self.isROS):\n response.append(enc_feature_msg(feature[\"name\"], feature[\"longitude\"],feature[\"latitude\"], feature[\"fid\"]))\n else:\n response.append((feature[\"name\"], feature[\"longitude\"],feature[\"latitude\"], feature[\"fid\"]))\n if(self.isROS):\n return enc_query_srvResponse(response)\n return response","def execute():\n # print('Wow')\n result = gui.controller.main('execute')\n print(result)\n\n return render_template('results.html', data=json.dumps(result))","def query(self, query: str, variables: Optional[Any] = None) -> Dict:\n resp = self.post(\"graphql\", json={\"query\": query, \"variables\": variables})\n if \"errors\" in resp:\n raise Exception(resp[\"errors\"][0][\"message\"])\n return resp[\"data\"]","def get(self, query):\n result = self._client.execute(query)\n data = json.loads(result)\n return data","def run(self, query, project=\"odyssey-193217\"):\n\t\tfrom google.cloud import bigquery\n\t\tjob_config = bigquery.QueryJobConfig()\n\t\tclient = bigquery.Client(project=project)\n\t\tresult = client.query(query,job_config=job_config)\n\t\tjob_config.allowLargeResults = True\n\t\tresult.__done_timeout = 99999999\n\t\treturn list(result)","def execute(self) :\n \n raise NotImplementedError()","def execute(self, query):\n # Create default return values.\n success = 'ERROR'\n result = None\n # Trim and split query.\n params = query.strip().split()\n if params:\n # Get query method in uppercase.\n method = params[0].upper()\n # Get method definition.\n if method in Matrix.METHODS:\n method_def = Matrix.METHODS[method]\n func = getattr(self, method_def['callable'])\n # Catch known exceptions.\n try:\n # Execute the function with validated parameters.\n validated_params = map(\n self._validate_param,\n method_def['params'],\n params[1:]\n )\n result = func(*validated_params)\n # We can assume that the method was executed succesfully.\n success = 'SUCCESS'\n except (TypeError, ValueError):\n # Do nothing. Default return values handle this case ;).\n pass\n return (success, result)","def __call__(self, q=None, **kwargs):\n from elasticsearch.helpers import scan\n es = self.esindex.es\n index = self.esindex.index\n gscan = scan(es, q=q, index=index, _source=['uid'], **kwargs)\n # FIXME: we need a fetchstart to work around bug in databroker.\n # Remove the fetchstart mapping when fixed.\n fetchstart = self.db.hs.mds.run_start_given_uid\n gstartstop = ((fetchstart(e['_source']['uid']), None) for e in gscan)\n rv = Results(gstartstop, self.db, data_key=None)\n return rv","def send_rpc_result(req, result):","def cypher(self, query: str, **parameters: str) -> Any:\n\n try:\n # results, meta = db.cypher_query(query, parameters)\n results, _ = db.cypher_query(query, parameters)\n except CypherSyntaxError as e:\n log.warning(query)\n log.error(f\"Failed to execute Cypher Query\\n{e}\")\n raise CypherSyntaxError(\"Failed to execute Cypher Query\") from e\n return results","def run(self):\n\n input_args = {}\n self._execute(input_args, self.args)","def send_api_request(self, query):\n\n params = {\"v\": \"20170712\",\n \"query\": query,\n \"lang\": \"de\",\n \"sessionId\": self.session_id,\n \"timezone\": \"Europe/Berlin\"\n }\n headers = {\"Authorization\": self.bearer_token}\n\n response = requests.get(\n \"https://api.dialogflow.com/v1/query\",\n params=params, headers=headers)\n\n #for debugging\n #print(response.url)\n print(\"Dialogflow response: %s\" % response.content)\n\n return response.content","def _exec_command(\n self, command: Query, result_format: Format = Format.TEXT\n ) -> PQGen[\"PGresult\"]:\n if self.pgconn.status != ConnStatus.OK:\n if self.pgconn.status == ConnStatus.BAD:\n raise e.OperationalError(\"the connection is closed\")\n raise e.InterfaceError(\n f\"cannot execute operations: the connection is\"\n f\" in status {self.pgconn.status}\"\n )\n\n if isinstance(command, str):\n command = command.encode(self.client_encoding)\n elif isinstance(command, Composable):\n command = command.as_bytes(self)\n\n if result_format == Format.TEXT:\n self.pgconn.send_query(command)\n else:\n self.pgconn.send_query_params(\n command, None, result_format=result_format\n )\n\n result = (yield from execute(self.pgconn))[-1]\n if result.status not in (ExecStatus.COMMAND_OK, ExecStatus.TUPLES_OK):\n if result.status == ExecStatus.FATAL_ERROR:\n raise e.error_from_result(\n result, encoding=self.client_encoding\n )\n else:\n raise e.InterfaceError(\n f\"unexpected result {ExecStatus(result.status).name}\"\n f\" from command {command.decode('utf8')!r}\"\n )\n return result","def post(self, args):\n try:\n analyzer = Analyzer()\n key = args['key'] if 'key' in args.keys() else None\n results = analyzer.run_analysis(args['query'], key)\n estimated_intent = results['classification'][0]['intent']\n estimated_confidence = results['classification'][0]['confidence']\n if(args['save_expression']):\n db = get_db('expressions')\n db.add_unlabeled_expression(args['query'], estimated_intent, estimated_confidence)\n resp = jsonify(results)\n return resp\n except DatabaseError as e:\n logger.exception(e.value)\n resp = jsonify(e.value)\n resp.status_code = 500\n return resp\n except AnalyzerError as e:\n logger.exception(e.value)\n resp = jsonify(e.value)\n resp.status_code = 500\n return resp","def evaluate(query, extra_parameters=None):\n return get_context().evaluate(query, extra_parameters=extra_parameters)","def executeQuery(payload, newQuery):\r\n\tq = newQuery.format(**payload)\r\n\tdb.query(q)\r\n\tdata = db.fetchall()\r\n\treturn data","def __call__(self, *args, **kwargs) -> Any:\n return self.execute(*args, **kwargs)","def execute(self, query):\n with self.conn.cursor() as cur:\n # Execute the query\n try:\n cur.execute(query)\n except Exception as exc:\n print(\"Unable to execute query. Error was {0}\".format(str(exc)))\n exit()\n rows = cur.fetchall()\n return rows","def run_athena_query(self, **kwargs):\n LOGGER.debug('Executing query: %s', kwargs['query'])\n query_execution_resp = self.athena_client.start_query_execution(\n QueryString=kwargs['query'], QueryExecutionContext={\n 'Database': kwargs.get(\n 'database', self.DATABASE_DEFAULT)}, ResultConfiguration={\n 'OutputLocation': '{}/{}'.format(\n self.athena_results_bucket, self.athena_results_key)})\n\n query_execution_result = self.check_query_status(\n query_execution_resp['QueryExecutionId'])\n\n if query_execution_result != 'SUCCEEDED':\n LOGGER.error(\n 'The query %s returned %s, exiting!',\n kwargs['query'],\n query_execution_result)\n return False, {}\n\n query_results_resp = self.athena_client.get_query_results(\n QueryExecutionId=query_execution_resp['QueryExecutionId'],\n )\n\n # The idea here is to leave the processing logic to the calling functions.\n # No data being returned isn't always an indication that something is wrong.\n # When handling the query result data, iterate over each element in the Row,\n # and parse the Data key.\n # Reference: https://bit.ly/2tWOQ2N\n if not query_results_resp['ResultSet']['Rows']:\n LOGGER.debug('The query %s returned empty rows of data', kwargs['query'])\n\n return True, query_results_resp","def _run_async_query(self, context):\n result = self._cb.get_object(self._doc_class.urlobject.format(self._cb.credentials.org_key))\n results = result.get(\"results\", [])\n self._total_results = len(results)\n self._count_valid = True\n return [self._doc_class(self._cb, item[\"id\"], item) for item in results]","def execute(self):\n return self._batch.execute()","def get(self, request, *args, **kwargs):\n device = Device.objects.get(name=kwargs[\"device_name\"])\n global_settings = GoldenConfigSettings.objects.get(id=\"aaaaaaaa-0000-0000-0000-000000000001\")\n status_code, data = graph_ql_query(request, device, global_settings.sot_agg_query)\n data = json.loads(json.dumps(data))\n return Response(GraphQLSerializer(data=data).initial_data, status=status_code)"],"string":"[\n \"def gremlin_action(token, query):\\n http = urllib3.PoolManager(\\n cert_reqs=\\\"CERT_REQUIRED\\\", ca_certs=certifi.where())\\n # Headers are how we pass through the token.\\n headers = {\\\"Content-Type\\\": \\\"application/json\\\"}\\n headers[\\\"X-Language\\\"] = \\\"en-us\\\"\\n headers[\\\"X-Auth-Token\\\"] = token\\n\\n my_project_id = \\\"454add6b26d04f53ae5c593551acf1ff\\\"\\n my_graph_id = \\\"d12f493e-975b-40e2-b278-76da8fe964fc\\\" # photos_new\\n my_graph_name = \\\"photos_new\\\"\\n my_region = \\\"ges.cn-north-1\\\"\\n\\n # action = \\\"start\\\"\\n # action = \\\"stop\\\"\\n action = \\\"execute-gremlin-query\\\"\\n base = \\\"{}.myhuaweicloud.com\\\".format(my_region)\\n\\n url = \\\"https://{}/v1.0/{}/graphs/{}/action?action_id={}\\\".format(\\n base, my_project_id, my_graph_id, action)\\n\\n data = {\\\"command\\\": query}\\n r = http.request(\\\"POST\\\", url, headers=headers, body=json.dumps(data))\\n output = json.loads(r.data)\\n return output['data']\",\n \"def execute_gremlin(client: NeptuneClient, query: str) -> pd.DataFrame:\\n results = client.read_gremlin(query)\\n df = pd.DataFrame.from_records(results)\\n return df\",\n \"async def run_query(query):\\n async with httpx.AsyncClient(timeout=None) as client:\\n response = await client.post(\\n BLAZEGRAPH_URL,\\n headers=BLAZEGRAPH_HEADERS,\\n data=query,\\n )\\n assert response.status_code < 300\\n return response.json()['results']['bindings']\",\n \"def execute_query(query, params={}, transaction=True, context=\\\"\\\"):\\r\\n if transaction:\\r\\n query = \\\"g.stopTransaction(FAILURE)\\\\n\\\" + query\\r\\n\\r\\n # If we have no hosts available raise an exception\\r\\n if len(_hosts) <= 0:\\r\\n raise ThunderdomeConnectionError('Attempt to execute query before calling thunderdome.connection.setup')\\r\\n \\r\\n host = _hosts[0]\\r\\n #url = 'http://{}/graphs/{}/tp/gremlin'.format(host.name, _graph_name)\\r\\n data = json.dumps({'script':query, 'params': params})\\r\\n headers = {'Content-Type':'application/json', 'Accept':'application/json', 'Accept-Charset':'utf-8'}\\r\\n import time\\r\\n try:\\r\\n start_time = time.time()\\r\\n conn = httplib.HTTPConnection(host.name, host.port)\\r\\n conn.request(\\\"POST\\\", '/graphs/{}/tp/gremlin'.format(_graph_name), data, headers)\\r\\n response = conn.getresponse()\\r\\n content = response.read()\\r\\n\\r\\n total_time = int((time.time() - start_time) * 1000)\\r\\n\\r\\n if context and _statsd:\\r\\n _statsd.timing(\\\"{}.timer\\\".format(context), total_time)\\r\\n _statsd.incr(\\\"{}.counter\\\".format(context))\\r\\n\\r\\n\\r\\n except socket.error as sock_err:\\r\\n if _statsd:\\r\\n total_time = int((time.time() - start_time) * 1000)\\r\\n _statsd.incr(\\\"thunderdome.socket_error\\\".format(context), total_time)\\r\\n raise ThunderdomeQueryError('Socket error during query - {}'.format(sock_err))\\r\\n except:\\r\\n raise\\r\\n \\r\\n logger.info(json.dumps(data))\\r\\n logger.info(content)\\r\\n\\r\\n try:\\r\\n response_data = json.loads(content)\\r\\n except ValueError as ve:\\r\\n raise ThunderdomeQueryError('Loading Rexster results failed: \\\"{}\\\"'.format(ve))\\r\\n \\r\\n if response.status != 200:\\r\\n if 'message' in response_data and len(response_data['message']) > 0:\\r\\n graph_missing_re = r\\\"Graph \\\\[(.*)\\\\] could not be found\\\"\\r\\n if re.search(graph_missing_re, response_data['message']):\\r\\n raise ThunderdomeGraphMissingError(response_data['message'])\\r\\n else:\\r\\n raise ThunderdomeQueryError(\\r\\n response_data['message'],\\r\\n response_data\\r\\n )\\r\\n else:\\r\\n if _statsd:\\r\\n _statsd.incr(\\\"{}.error\\\".format(context))\\r\\n raise ThunderdomeQueryError(\\r\\n response_data['error'],\\r\\n response_data\\r\\n )\\r\\n\\r\\n return response_data['results']\",\n \"def run_query(self, query: str) -> BoltStatementResult:\\n with self.neo4j_driver.driver.session() as session:\\n return session.run(query)\",\n \"def query(output, query):\\n gqlapi = gql.get_api()\\n print_output(output, gqlapi.query(query))\",\n \"def run_graphql_query(\\n self,\\n query,\\n headers,\\n status_code=200):\\n request = requests.post(PH_API_URL, data=json.dumps(query), headers=headers)\\n if request.status_code == status_code:\\n return request.json()\\n else:\\n raise Exception(\\n \\\"Unexpected status code returned: {}\\\".format(\\n request.status_code)\\n )\",\n \"def run_query(self):\\n return _run_query(self.query)\",\n \"def execute(self) -> Dict:\\n return self.session.execute({\\\"process_graph\\\": self.graph})\",\n \"def execute(self) -> Dict:\\n return self.connection.execute({\\\"process_graph\\\": self.graph})\",\n \"def execute(self):\\n return RegistryResults(self.execute_votable(), self.queryurl)\",\n \"def execute_query(self):\\n try:\\n # get query and templates\\n query = self.request.data.get(\\\"query\\\", None)\\n templates = self.request.data.get(\\\"templates\\\", \\\"[]\\\")\\n registries = self.get_registries()\\n order_by_field = self.request.data.get(\\\"order_by_field\\\", \\\"\\\")\\n\\n if order_by_field:\\n order_by_field = order_by_field.split(\\\",\\\")\\n\\n if query is None:\\n content = {\\\"message\\\": \\\"Query should be passed in parameter.\\\"}\\n return Response(content, status=status.HTTP_400_BAD_REQUEST)\\n\\n # prepare query\\n raw_query = self.build_query(query, templates, registries)\\n # execute query\\n data_list = self.execute_json_query(raw_query, order_by_field)\\n # build and return response\\n return self.build_response(data_list)\\n\\n except Exception as api_exception:\\n content = {\\\"message\\\": str(api_exception)}\\n return Response(\\n content, status=status.HTTP_500_INTERNAL_SERVER_ERROR\\n )\",\n \"def execute(self, shallow=False):\\r\\n # start by constructing the url\\r\\n url = self._make_url()\\r\\n # now make the request\\r\\n logger.info('querying {}'.format(url))\\r\\n result = GraphQuery.request_until_success(url)\\r\\n # now we will go through and try and expand anything that needs it\\r\\n if 'data' in result:\\r\\n result = {'lol':result} # yeah this seems odd\\r\\n for key in result:\\r\\n GraphQuery.expand(result[key])\\r\\n return result\",\n \"def _run_query(self):\",\n \"def execute_gql_query(\\n self, gql_name: str, **kwargs\\n ) -> Union[dict, list, int]:\\n self._query_type = \\\"query\\\"\\n data = self._exec(gql_name, kwargs)\\n return data\",\n \"def execQuery():\\n\\n if request.method == \\\"POST\\\":\\n result = exec_query(request)\\n if result:\\n status = 200\\n else:\\n status = 400\\n return result, status # HTTP Status Created [201]\",\n \"def _send_gql_request(gateway_port):\\n mutation = (\\n f'mutation {{'\\n + '''docs(data: {text: \\\"abcd\\\"}) { \\n id \\n } \\n }\\n '''\\n )\\n c = Client(host='localhost', port=gateway_port, protocol='http')\\n return c.mutate(mutation=mutation)\",\n \"def __call__(self, data):\\n return data.eval(self.query)\",\n \"def query(self):\\n pass\",\n \"def execute_query():\\n start_time = time.time()\\n\\n queries = request.json[\\\"queries\\\"]\\n random_command = request.json[\\\"random_command\\\"]\\n\\n \\\"\\\"\\\" Running the queries against the pre-loaded index. \\\"\\\"\\\"\\n output_dict = runner.run_queries(queries, random_command)\\n\\n \\\"\\\"\\\" Dumping the results to a JSON file. \\\"\\\"\\\"\\n with open(output_location, 'w') as fp:\\n json.dump(output_dict, fp)\\n\\n response = {\\n \\\"Response\\\": output_dict,\\n \\\"time_taken\\\": str(time.time() - start_time),\\n \\\"username_hash\\\": username_hash\\n }\\n return flask.jsonify(response)\",\n \"def go(self):\\n async_response = self._ixnhttp.post('/operations/query', self._query)\\n if async_response.state == 'SUCCESS':\\n if isinstance(async_response.result[0], list):\\n ixnobjects = []\\n for item in async_response.result[0]:\\n ixnobjects.append(IxnObject(self._ixnhttp, item))\\n return ixnobjects\\n else:\\n return IxnObject(self._ixnhttp, async_response.result[0])\\n else:\\n return None\",\n \"def _run_query(self):\\n self._search_query()\\n logger.debug(\\\"Payload\\\")\\n logger.debug(self._payload)\\n _resp = query_public_ip_pools(self._payload)\\n logger.debug(_resp)\\n _resp = self.load_json(_resp)\\n _ret_list = []\\n if _resp is None:\\n self._record_total = self._record_filtered = 0\\n return []\\n _ret_list = _resp[\\\"ret_set\\\"]\\n self._record_filtered = self._record_total = _resp.get(\\\"total_count\\\") or 100\\n return _ret_list\",\n \"def query(self, query):\",\n \"def _run_query(self, query):\\n cursor = self.conn.cursor()\\n cursor.execute(query)\\n return cursor.fetchall()\",\n \"def query(self):\",\n \"def render_POST(self, request, query=None):\\n # make a parser and parse the request\\n parser = qp.QueryParser(request)\\n if not query: query = request.content.read() \\n try: \\n # run the query locally\\n d = parser.runquery(self.db, query)\\n except Exception, e:\\n log.err(\\\"Failing query: \\\" + str(query))\\n log.err()\\n setResponseCode(request, e, 400)\\n return str(e)\\n else:\\n # and send the reply\\n request.setHeader('Content-type', 'application/json')\\n\\n if not query.strip().startswith('apply'):\\n # apply streams the output out itself\\n d.addCallback(lambda reply: (request, reply))\\n d.addCallback(self.send_reply)\\n d.addErrback(lambda x: self.send_error(request, x))\\n return server.NOT_DONE_YET\",\n \"def execute(self, context):\\n logging.info(f\\\"Running SQL :{self.sql}\\\")\\n self.hook = TrinoHook()\\n query = self.hook.run(self.sql, autocommit=self.autocommit, parameters=self.parameters)\\n if self.xcom_push:\\n return query\",\n \"def execute(self, request):\\n CheckValue.check_not_none(request, 'request')\\n request.set_defaults(self._config)\\n request.validate()\\n if request.is_query_request():\\n self._stats_control.observe_query(request)\\n\\n \\\"\\\"\\\"\\n The following 'if' may be True for advanced queries only. For such\\n queries, the 'if' will be True (i.e., the QueryRequest will be bound\\n with a QueryDriver) if and only if this is not the 1st execute()\\n call for this query. In this case we just return a new, empty\\n QueryResult. Actual computation of a result batch will take place\\n when the app calls get_results() on the QueryResult.\\n \\\"\\\"\\\"\\n if request.has_driver():\\n self._trace('QueryRequest has QueryDriver', 2)\\n return QueryResult(request, False)\\n \\\"\\\"\\\"\\n If it is an advanced query and we are here, then this must be the\\n 1st execute() call for the query. If the query has been prepared\\n before, we create a QueryDriver and bind it with the QueryRequest.\\n Then, we create and return an empty QueryResult. Actual computation\\n of a result batch will take place when the app calls get_results()\\n on the QueryResult.\\n \\\"\\\"\\\"\\n if request.is_prepared() and not request.is_simple_query():\\n self._trace(\\n 'QueryRequest has no QueryDriver, but is prepared', 2)\\n driver = QueryDriver(request)\\n driver.set_client(self)\\n driver.set_topology_info(request.topology_info())\\n return QueryResult(request, False)\\n \\\"\\\"\\\"\\n If we are here, then this is either (a) a simple query or (b) an\\n advanced query that has not been prepared already, which also\\n implies that this is the 1st execute() call on this query. For a\\n non-prepared advanced query, the effect of this 1st execute() call\\n is to send the query to the proxy for compilation, get back the\\n prepared query, but no query results, create a QueryDriver, and bind\\n it with the QueryRequest (see QueryRequestSerializer.deserialize()),\\n and return an empty QueryResult.\\n \\\"\\\"\\\"\\n self._trace(\\n 'QueryRequest has no QueryDriver and is not prepared', 2)\\n timeout_ms = request.get_timeout()\\n headers = {'Host': self._url.hostname,\\n 'Content-Type': 'application/octet-stream',\\n 'Connection': 'keep-alive',\\n 'Accept': 'application/octet-stream',\\n 'User-Agent': self._user_agent}\\n\\n # set the session cookie if available\\n if self._session_cookie is not None:\\n headers['Cookie'] = self._session_cookie\\n\\n # set namespace if configured\\n namespace = request.get_namespace()\\n if namespace is None:\\n namespace = self._config.get_default_namespace()\\n if namespace is not None:\\n headers[HttpConstants.REQUEST_NAMESPACE_HEADER] = namespace\\n\\n content = self.serialize_request(request, headers)\\n content_len = len(content)\\n # If on-premise the auth_provider will always be a\\n # StoreAccessTokenProvider. If so, check against configurable limit.\\n # Otherwise check against internal hardcoded cloud limit.\\n if isinstance(self._auth_provider, StoreAccessTokenProvider):\\n if content_len > self._max_content_length:\\n raise RequestSizeLimitException(\\n 'The request size of ' + str(content_len) + ' exceeded ' +\\n 'the limit of ' + str(self._max_content_length))\\n if request.get_compartment() is None:\\n request.set_compartment_internal(\\n self._config.get_default_compartment())\\n if self._logutils.is_enabled_for(DEBUG):\\n self._logutils.log_debug('Request: ' + request.__class__.__name__)\\n request_id = self._next_request_id()\\n headers[HttpConstants.REQUEST_ID_HEADER] = request_id\\n self.check_request(request)\\n # TODO: look at avoiding creating this object on each request\\n request_utils = RequestUtils(\\n self._sess, self._logutils, request, self._retry_handler, self,\\n self._rate_limiter_map)\\n return request_utils.do_post_request(self._request_uri, headers,\\n content, timeout_ms,\\n self._stats_control)\",\n \"def execute(self):\\n return SLAResults(self.execute_votable(), self.getqueryurl())\",\n \"def execute(self):\\n return SLAResults(self.execute_votable(), self.getqueryurl())\",\n \"def execute_query(self, *, scope: Scope, params: QueryParams) -> QueryResults:\",\n \"def _run_query(self):\\n self._search_query()\\n logger.debug(\\\"Payload\\\")\\n logger.debug(self._payload)\\n _resp = query_public_ip_pool_detail(self._payload)\\n logger.debug(_resp)\\n _resp = self.load_json(_resp)\\n _ret_list = []\\n if _resp is None:\\n self._record_total = self._record_filtered = 0\\n return []\\n _ret_list = _resp[\\\"ret_set\\\"]\\n self._record_filtered = self._record_total = _resp.get(\\\"total_count\\\") or 100\\n return _ret_list\",\n \"def request(query):\",\n \"def execute_query(self) -> dict or list:\\n pass\",\n \"def query(self) -> None:\\n raise NotImplementedError()\",\n \"def raw_query(self, query: str):\\n\\n async def func():\\n result = await LemkPgUtils.get_query_result(self.dsn, query)\\n return result\\n\\n return self._run_async(func())\",\n \"def __call__(self, command):\\n return self.execute(command).response.body\",\n \"def get(self, request):\\n return self.execute_query()\",\n \"def execute_query(self, *args, **kwargs):\",\n \"def post(self, request):\\n return self.execute_query()\",\n \"def process(self, query):\\n response_text = self.fetch(query)\\n content = self.get_content(response_text)\\n return content\",\n \"def run_query(self, query, limit = None):\\n if limit is not None:\\n query += 'LIMIT ' + str(limit)\\n query_job = self.bigquery_client.query(query) # API request\\n return query_job.result() # Waits for query to finish\",\n \"def execute(self, *args, **kwargs):\\n return self.engine.execute(*args, **kwargs)\",\n \"def execute(self, *args, **kwargs):\\n return self.engine.execute(*args, **kwargs)\",\n \"def gremlin(request):\\n raise Exception(\\\"This endpoint is throwing a 500 error!\\\")\",\n \"def execute(self, dbname, query, username=None, commit=False):\\n with self.connect(dbname, username) as node_con:\\n res = node_con.execute(query)\\n if commit:\\n node_con.commit()\\n return res\",\n \"def post(self):\\n # argument parsing\\n parser = reqparse.RequestParser()\\n parser.add_argument('query', 'str')\\n args = parser.parse_args()\\n user_query = args['query']\\n # convert query to array\\n model_input = self.convert_query(user_query)\\n prediction = self.model.predict(model_input)[0]\\n response = make_response(render_template_string(\\n self.make_post_return(prediction)), 200)\\n response.headers['mime-type'] = 'text/html'\\n return response\",\n \"def query(self, query):\\n # if self._send > self._reset:\\n # self.reconnect()\\n query = format_query(query)\\n try:\\n self.socket.send(query)\\n except socket.error:\\n raise ConnectionError('Server is not running.')\\n answer = self._stream()\\n self._send += 1\\n answer = format_answer(answer)\\n return answer\",\n \"async def submit(self, message, bindings=None):\\n if isinstance(message, traversal.Bytecode):\\n message = request.RequestMessage(\\n processor='traversal', op='bytecode',\\n args={'gremlin': message,\\n 'aliases': self._aliases})\\n elif isinstance(message, str):\\n message = request.RequestMessage(\\n processor='', op='eval',\\n args={'gremlin': message,\\n 'aliases': self._aliases})\\n if bindings:\\n message.args.update({'bindings': bindings})\\n conn = await self.cluster.get_connection(hostname=self._hostname)\\n resp = await conn.write(message)\\n self._loop.create_task(conn.release_task(resp))\\n return resp\",\n \"def run(self):\\n query = VectorQuery(self.username, self.password, self.api_key)\\n query.log_in()\\n new_geometries = query.query_geometries(geometry_params=self.geometry_params)\\n self.geometry_object.task_complete.emit(self.geometry_params, new_geometries)\",\n \"def execute(self):\\n if self.backend is not None:\\n self._process_node(self.ast)\\n return self.backend.get_output()\\n else:\\n raise UnrollerError(\\\"backend not attached\\\")\",\n \"def query(self, query, authorization_required=True):\\n url = 'https://{}/api/v1/graphql'.format(self.host)\\n headers = {\\n 'Content-Type': 'application/json',\\n }\\n json = {\\n 'query': query,\\n }\\n # Login if not yet done\\n if authorization_required:\\n if not self.authorized:\\n self.login()\\n if self.token:\\n headers['Authorization'] = 'Bearer {}'.format(self.token)\\n\\n request = self.session.post(\\n url, headers=headers, json=json,\\n verify=self.verify)\\n return request\",\n \"def execute(self) -> Any:\\n return self.function(**self.kwargs)\",\n \"def handleQuery(self,query):\\n results = None\\n return results\",\n \"def query(self, **kwargs):\",\n \"def exec_results(query):\\n db = psycopg2.connect(database=DBNAME)\\n c = db.cursor()\\n c.execute(query)\\n result = c.fetchall()\\n db.close()\\n return result\",\n \"def query():\\n query = request.json.get('query')\\n variables = request.json.get('variables') # Todo: add handling variables\\n logger.debug('Query: %s', request.json)\\n result = schema.execute(query)\\n result_hash = format_result(result)\\n return result_hash\",\n \"def execute(self):\\n # type: () -> PrestoResult\\n if self._cancelled:\\n raise exceptions.PrestoUserError(\\\"Query has been cancelled\\\", self.query_id)\\n\\n if self.credentials is not None and not self.credentials.valid:\\n self._request.http_session.headers.update(self._request.get_oauth_token())\\n\\n response = self._request.post(self._sql)\\n status = self._request.process(response)\\n self.query_id = status.id\\n self._stats.update({\\\"queryId\\\": self.query_id})\\n self._stats.update(status.stats)\\n self._warnings = getattr(status, \\\"warnings\\\", [])\\n if status.next_uri is None:\\n self._finished = True\\n self._result = PrestoResult(self, status.rows)\\n while (\\n not self._finished and not self._cancelled\\n ):\\n self._result._rows += self.fetch()\\n return self._result\",\n \"def cypher(self, query):\\n from neomodel import db\\n try:\\n results, meta = db.cypher_query(query)\\n except Exception as e:\\n raise Exception(\\n \\\"Failed to execute Cypher Query: %s\\\\n%s\\\" % (query, str(e)))\\n return False\\n # log.debug(\\\"Graph query.\\\\nResults: %s\\\\nMeta: %s\\\" % (results, meta))\\n return results\",\n \"def _run_query(self, inputs, state):\\n in_shape = (self._query_batch,) + self._layer.input_shape\\n queries = self._projection('Query', inputs, in_shape)\\n return self._layer.apply(queries, list(state))\",\n \"def _execute_green(self, query):\\n if self._async_cursor:\\n raise exceptions.ProgrammingError(\\n \\\"a single async query can be executed on the same connection\\\")\\n\\n self._async_cursor = True\\n\\n if not libpq.PQsendQuery(self._pgconn, ascii_to_bytes(query)):\\n self._async_cursor = None\\n return\\n\\n self._async_status = consts.ASYNC_WRITE\\n\\n try:\\n _green_callback(self)\\n except Exception:\\n self.close()\\n raise\\n else:\\n return util.pq_get_last_result(self._pgconn)\\n finally:\\n self._async_cursor = None\\n self._async_status = consts.ASYNC_DONE\",\n \"def execute_query(driver,query):\\n with driver.session() as session:\\n results = session.run(query)\\n return results\",\n \"async def raw_query(self, query: str):\\n result = await LemkPgUtils.get_query_result(self.dsn, query)\\n return result\",\n \"def execute_queries(event, **kwargs):\\n\\n for gp in __graph_patterns:\\n prefixes, gen = get_query_generator(*eval(gp), stop_event=event, wait=True, **kwargs)\\n log.info('querying ' + str(__graph_patterns))\\n\\n if gen is not None:\\n for headers, res in gen:\\n print headers, res\\n listeners = __graph_patterns[gp]\\n for c, args in listeners:\\n log.debug('Sending result {} to {}'.format(res, c))\\n c(res)\\n yield (c.func_name, res)\\n if event.isSet():\\n break\\n if event.isSet():\\n raise Exception('Abort getting query results')\\n\\n log.debug('finished with ' + str(__graph_patterns))\",\n \"def execute_query(self, query_, return_results_=False):\\n\\n try:\\n if return_results_:\\n logging.info(\\\"Fetching results...\\\")\\n self.query_results = self.cursor.execute(query_)\\n else:\\n self.cursor.execute(query_)\\n logging.info(\\\"Query ran successfully.\\\")\\n\\n except Exception as e:\\n if self.airflow:\\n # For Airflow, forces task to fail and set it up for re-try\\n raise AirflowException(\\\"Error running query. {}\\\"\\n .format(str(e)))\\n else:\\n logging.exception(\\\"Error running query.\\\")\\n raise e\",\n \"def execute():\",\n \"def send(\\n self,\\n query: List[str],\\n completion_callback: Optional[Callable[[int], Any]],\\n query_handle: target.QueryHandle = None):\\n worker = VertexGapicWorker(\\n client=self._prediction_service_client,\\n vertex_endpoint=self._vertex_endpoint,\\n completion_callback=completion_callback,\\n request=query,\\n query_handle=query_handle)\\n worker.start()\",\n \"async def _perform_query(self, query, login_token):\\n data = {\\\"username\\\": self.user, \\\"query\\\": query.lower(), \\\"token\\\": login_token}\\n return await self._perform_request(\\\"query\\\", data, lambda r: r.text())\",\n \"def execute_func(self, query, data):\\n context = self.__context\\n session = context.session()\\n statement = SqlalchemyUtils().query_execute_function(query, data)\\n with session as connection:\\n query_result = connection.execute(statement)\\n\\n return query_result\",\n \"def query(self):\\r\\n raise NotImplementedError\",\n \"def execute_graphql_request(\\n self, request, data, query, variables, operation_name, show_graphiql=False\\n ):\\n if not query:\\n if show_graphiql:\\n return None\\n raise HttpError(HttpResponseBadRequest(\\\"Must provide query string.\\\"))\\n\\n try:\\n backend = self.get_backend(request)\\n document = backend.document_from_string(self.schema, query)\\n except Exception as e:\\n return ExecutionResult(errors=[e], invalid=True)\\n\\n if request.method.lower() == \\\"get\\\":\\n operation_type = document.get_operation_type(operation_name)\\n if operation_type and operation_type != \\\"query\\\":\\n if show_graphiql:\\n return None\\n\\n raise HttpError(\\n HttpResponseNotAllowed(\\n [\\\"POST\\\"],\\n \\\"Can only perform a {} operation from a POST request.\\\".format(\\n operation_type\\n ),\\n )\\n )\\n\\n # Check request weight\\n try:\\n if self.list_limit or self.weight_limit or self.depth_limit:\\n if document:\\n fragments = get_fragments(document.document_ast.definitions)\\n definitions_total_weight = 0\\n for definition in document.document_ast.definitions:\\n if not isinstance(definition, OperationDefinition):\\n continue\\n\\n if operation_name and definition.name != operation_name:\\n continue\\n\\n def_weight = self.calculate_action_weight(\\n definition.selection_set,\\n fragments)\\n definitions_total_weight += def_weight\\n if self.weight_limit and definitions_total_weight > self.weight_limit:\\n raise QueryWeightExceeded(\\\"Your query exceeds the maximum query weight allowed\\\")\\n except Exception as e:\\n return ExecutionResult(errors=[e], invalid=True)\\n\\n try:\\n extra_options = {}\\n if self.executor:\\n # We only include it optionally since\\n # executor is not a valid argument in all backends\\n extra_options[\\\"executor\\\"] = self.executor\\n\\n return document.execute(\\n root_value=self.get_root_value(request),\\n variable_values=variables,\\n operation_name=operation_name,\\n context_value=self.get_context(request),\\n middleware=self.get_middleware(request),\\n **extra_options\\n )\\n except Exception as e:\\n return ExecutionResult(errors=[e], invalid=True)\",\n \"def execute(self, query, classname=None, query_args=None):\\r\\n data = self.db.execute(query, query_args)\\r\\n return data\",\n \"def execute(self, query, pars=False):\\n raise NotImplementedError\",\n \"def query(self, query, initNs=None, initBindings=None, queryGraph=None, **kwargs):\\n\\n# r_queryType = pattern.search(query).group(\\\"prefixes\\\").upper()\\n# print(r_queryType)\\n uri = self.rest_services[\\\"repository\\\"]\\n infer = kwargs.get('infer',None)\\n #timeout = kwargs.get('timeout',\\\"0\\\")\\n payload = {\\\"$\\\"+k: v.n3() for k,v in initBindings.items()}\\n\\n payload[\\\"infer\\\"] = self.infer if infer is None else infer\\n payload[\\\"infer\\\"] = str(payload[\\\"infer\\\"]).lower()\\n #payload[\\\"$\\\"+timeout]=0\\n payload[\\\"query\\\"] = query\\n r = requests.post(uri, data=payload,\\n stream=True,\\n headers= {\\\"Accept\\\" : \\\"application/sparql-results+json,application/trix\\\",\\n 'connection': 'keep-alive',\\n 'Accept-Encoding': 'gzip,deflate',\\n \\\"Content-Type\\\" :\\\"application/x-www-form-urlencoded\\\"})\\n\\n r.raw.decode_content = True\\n if r.headers['Content-Type'] == 'application/sparql-results+json;charset=UTF-8':\\n return self.__make_result(r)\\n elif r.headers['Content-Type'] == 'application/trix;charset=UTF-8':\\n return self.__make_trix_generator__(r)\\n else:\\n raise ValueError(\\\"Response content type not parsable {r}\\\".format(r=r.text))\",\n \"def get(self):\\n\\n response = PluginHelper.request_get(params=self.request.arguments)\\n if (\\n response.status_code == 200\\n and response.json()[\\\"status\\\"] == \\\"ok\\\"\\n ):\\n result_json = {\\n \\\"results\\\": response.json()[\\\"results\\\"],\\n }\\n else:\\n raise exc.BadRequest(\\\"Bad host query: {}\\\".format(\\n self.request.arguments\\n ))\\n\\n self.success(result_json)\",\n \"def pgsql_query(self, query, values=None):\\n if self.pgsql_configured():\\n connection = psycopg2.connect(\\n host=self.kv.get(\\\"pgsql_host\\\"),\\n port=self.kv.get(\\\"pgsql_port\\\"),\\n dbname=self.kv.get(\\\"pgsql_db\\\"),\\n user=self.kv.get(\\\"pgsql_user\\\"),\\n password=self.kv.get(\\\"pgsql_pass\\\"),\\n )\\n connection.set_session(autocommit=True)\\n cursor = connection.cursor()\\n try:\\n hookenv.log(\\n \\\"Executing query {} with values {}\\\".format(query, values),\\n hookenv.DEBUG,\\n )\\n result = cursor.execute(query, vars=values)\\n except psycopg2.Error as e:\\n hookenv.log(\\n \\\"Error {} from PostgreSQL when executing query {}\\\".format(\\n e.diag.message_primary, query\\n ),\\n hookenv.ERROR,\\n )\\n return e.diag.message_primary\\n hookenv.log(\\\"Query result: {}\\\".format(result), hookenv.DEBUG)\\n cursor.close()\\n connection.close()\\n return result\\n return False\",\n \"def query(self, **kwargs):\\n\\n return query.query(self._host, self._session, **kwargs)\",\n \"def doQuery(self, s):\\n self.setQuery(s)\\n\\n try:\\n rval = self.query()\\n g = rval.convert()\\n return g['results']['bindings']\\n except:\\n print \\\"doQuery failed\\\"\\n traceback.print_exc(file=sys.stdout)\",\n \"def run(self, req):\\n\\n if(self.isROS):\\n featureList = []\\n self.fov = self.geoPathToGPD(req.fov)\\n else:\\n self.fov = self.pickleToGPD(req)\\n\\n\\n \\n response = []\\n \\n featuresInView = gpd.sjoin(self.featureDataframe, self.fov, op='within') \\n for index, feature in featuresInView.iterrows():\\n if(self.isROS):\\n response.append(enc_feature_msg(feature[\\\"name\\\"], feature[\\\"longitude\\\"],feature[\\\"latitude\\\"], feature[\\\"fid\\\"]))\\n else:\\n response.append((feature[\\\"name\\\"], feature[\\\"longitude\\\"],feature[\\\"latitude\\\"], feature[\\\"fid\\\"]))\\n if(self.isROS):\\n return enc_query_srvResponse(response)\\n return response\",\n \"def execute():\\n # print('Wow')\\n result = gui.controller.main('execute')\\n print(result)\\n\\n return render_template('results.html', data=json.dumps(result))\",\n \"def query(self, query: str, variables: Optional[Any] = None) -> Dict:\\n resp = self.post(\\\"graphql\\\", json={\\\"query\\\": query, \\\"variables\\\": variables})\\n if \\\"errors\\\" in resp:\\n raise Exception(resp[\\\"errors\\\"][0][\\\"message\\\"])\\n return resp[\\\"data\\\"]\",\n \"def get(self, query):\\n result = self._client.execute(query)\\n data = json.loads(result)\\n return data\",\n \"def run(self, query, project=\\\"odyssey-193217\\\"):\\n\\t\\tfrom google.cloud import bigquery\\n\\t\\tjob_config = bigquery.QueryJobConfig()\\n\\t\\tclient = bigquery.Client(project=project)\\n\\t\\tresult = client.query(query,job_config=job_config)\\n\\t\\tjob_config.allowLargeResults = True\\n\\t\\tresult.__done_timeout = 99999999\\n\\t\\treturn list(result)\",\n \"def execute(self) :\\n \\n raise NotImplementedError()\",\n \"def execute(self, query):\\n # Create default return values.\\n success = 'ERROR'\\n result = None\\n # Trim and split query.\\n params = query.strip().split()\\n if params:\\n # Get query method in uppercase.\\n method = params[0].upper()\\n # Get method definition.\\n if method in Matrix.METHODS:\\n method_def = Matrix.METHODS[method]\\n func = getattr(self, method_def['callable'])\\n # Catch known exceptions.\\n try:\\n # Execute the function with validated parameters.\\n validated_params = map(\\n self._validate_param,\\n method_def['params'],\\n params[1:]\\n )\\n result = func(*validated_params)\\n # We can assume that the method was executed succesfully.\\n success = 'SUCCESS'\\n except (TypeError, ValueError):\\n # Do nothing. Default return values handle this case ;).\\n pass\\n return (success, result)\",\n \"def __call__(self, q=None, **kwargs):\\n from elasticsearch.helpers import scan\\n es = self.esindex.es\\n index = self.esindex.index\\n gscan = scan(es, q=q, index=index, _source=['uid'], **kwargs)\\n # FIXME: we need a fetchstart to work around bug in databroker.\\n # Remove the fetchstart mapping when fixed.\\n fetchstart = self.db.hs.mds.run_start_given_uid\\n gstartstop = ((fetchstart(e['_source']['uid']), None) for e in gscan)\\n rv = Results(gstartstop, self.db, data_key=None)\\n return rv\",\n \"def send_rpc_result(req, result):\",\n \"def cypher(self, query: str, **parameters: str) -> Any:\\n\\n try:\\n # results, meta = db.cypher_query(query, parameters)\\n results, _ = db.cypher_query(query, parameters)\\n except CypherSyntaxError as e:\\n log.warning(query)\\n log.error(f\\\"Failed to execute Cypher Query\\\\n{e}\\\")\\n raise CypherSyntaxError(\\\"Failed to execute Cypher Query\\\") from e\\n return results\",\n \"def run(self):\\n\\n input_args = {}\\n self._execute(input_args, self.args)\",\n \"def send_api_request(self, query):\\n\\n params = {\\\"v\\\": \\\"20170712\\\",\\n \\\"query\\\": query,\\n \\\"lang\\\": \\\"de\\\",\\n \\\"sessionId\\\": self.session_id,\\n \\\"timezone\\\": \\\"Europe/Berlin\\\"\\n }\\n headers = {\\\"Authorization\\\": self.bearer_token}\\n\\n response = requests.get(\\n \\\"https://api.dialogflow.com/v1/query\\\",\\n params=params, headers=headers)\\n\\n #for debugging\\n #print(response.url)\\n print(\\\"Dialogflow response: %s\\\" % response.content)\\n\\n return response.content\",\n \"def _exec_command(\\n self, command: Query, result_format: Format = Format.TEXT\\n ) -> PQGen[\\\"PGresult\\\"]:\\n if self.pgconn.status != ConnStatus.OK:\\n if self.pgconn.status == ConnStatus.BAD:\\n raise e.OperationalError(\\\"the connection is closed\\\")\\n raise e.InterfaceError(\\n f\\\"cannot execute operations: the connection is\\\"\\n f\\\" in status {self.pgconn.status}\\\"\\n )\\n\\n if isinstance(command, str):\\n command = command.encode(self.client_encoding)\\n elif isinstance(command, Composable):\\n command = command.as_bytes(self)\\n\\n if result_format == Format.TEXT:\\n self.pgconn.send_query(command)\\n else:\\n self.pgconn.send_query_params(\\n command, None, result_format=result_format\\n )\\n\\n result = (yield from execute(self.pgconn))[-1]\\n if result.status not in (ExecStatus.COMMAND_OK, ExecStatus.TUPLES_OK):\\n if result.status == ExecStatus.FATAL_ERROR:\\n raise e.error_from_result(\\n result, encoding=self.client_encoding\\n )\\n else:\\n raise e.InterfaceError(\\n f\\\"unexpected result {ExecStatus(result.status).name}\\\"\\n f\\\" from command {command.decode('utf8')!r}\\\"\\n )\\n return result\",\n \"def post(self, args):\\n try:\\n analyzer = Analyzer()\\n key = args['key'] if 'key' in args.keys() else None\\n results = analyzer.run_analysis(args['query'], key)\\n estimated_intent = results['classification'][0]['intent']\\n estimated_confidence = results['classification'][0]['confidence']\\n if(args['save_expression']):\\n db = get_db('expressions')\\n db.add_unlabeled_expression(args['query'], estimated_intent, estimated_confidence)\\n resp = jsonify(results)\\n return resp\\n except DatabaseError as e:\\n logger.exception(e.value)\\n resp = jsonify(e.value)\\n resp.status_code = 500\\n return resp\\n except AnalyzerError as e:\\n logger.exception(e.value)\\n resp = jsonify(e.value)\\n resp.status_code = 500\\n return resp\",\n \"def evaluate(query, extra_parameters=None):\\n return get_context().evaluate(query, extra_parameters=extra_parameters)\",\n \"def executeQuery(payload, newQuery):\\r\\n\\tq = newQuery.format(**payload)\\r\\n\\tdb.query(q)\\r\\n\\tdata = db.fetchall()\\r\\n\\treturn data\",\n \"def __call__(self, *args, **kwargs) -> Any:\\n return self.execute(*args, **kwargs)\",\n \"def execute(self, query):\\n with self.conn.cursor() as cur:\\n # Execute the query\\n try:\\n cur.execute(query)\\n except Exception as exc:\\n print(\\\"Unable to execute query. Error was {0}\\\".format(str(exc)))\\n exit()\\n rows = cur.fetchall()\\n return rows\",\n \"def run_athena_query(self, **kwargs):\\n LOGGER.debug('Executing query: %s', kwargs['query'])\\n query_execution_resp = self.athena_client.start_query_execution(\\n QueryString=kwargs['query'], QueryExecutionContext={\\n 'Database': kwargs.get(\\n 'database', self.DATABASE_DEFAULT)}, ResultConfiguration={\\n 'OutputLocation': '{}/{}'.format(\\n self.athena_results_bucket, self.athena_results_key)})\\n\\n query_execution_result = self.check_query_status(\\n query_execution_resp['QueryExecutionId'])\\n\\n if query_execution_result != 'SUCCEEDED':\\n LOGGER.error(\\n 'The query %s returned %s, exiting!',\\n kwargs['query'],\\n query_execution_result)\\n return False, {}\\n\\n query_results_resp = self.athena_client.get_query_results(\\n QueryExecutionId=query_execution_resp['QueryExecutionId'],\\n )\\n\\n # The idea here is to leave the processing logic to the calling functions.\\n # No data being returned isn't always an indication that something is wrong.\\n # When handling the query result data, iterate over each element in the Row,\\n # and parse the Data key.\\n # Reference: https://bit.ly/2tWOQ2N\\n if not query_results_resp['ResultSet']['Rows']:\\n LOGGER.debug('The query %s returned empty rows of data', kwargs['query'])\\n\\n return True, query_results_resp\",\n \"def _run_async_query(self, context):\\n result = self._cb.get_object(self._doc_class.urlobject.format(self._cb.credentials.org_key))\\n results = result.get(\\\"results\\\", [])\\n self._total_results = len(results)\\n self._count_valid = True\\n return [self._doc_class(self._cb, item[\\\"id\\\"], item) for item in results]\",\n \"def execute(self):\\n return self._batch.execute()\",\n \"def get(self, request, *args, **kwargs):\\n device = Device.objects.get(name=kwargs[\\\"device_name\\\"])\\n global_settings = GoldenConfigSettings.objects.get(id=\\\"aaaaaaaa-0000-0000-0000-000000000001\\\")\\n status_code, data = graph_ql_query(request, device, global_settings.sot_agg_query)\\n data = json.loads(json.dumps(data))\\n return Response(GraphQLSerializer(data=data).initial_data, status=status_code)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6971977","0.68545705","0.68396306","0.648774","0.64229923","0.6413053","0.62823623","0.6230398","0.6107883","0.60947967","0.5950436","0.5908044","0.5868579","0.58055663","0.5708583","0.57053006","0.5696164","0.5694277","0.5672222","0.56569475","0.5648221","0.56047773","0.5588523","0.5568097","0.5558982","0.5553826","0.5545522","0.5526287","0.5515596","0.5515596","0.54820746","0.5480458","0.5447647","0.54384416","0.54287344","0.5428681","0.5418976","0.5417475","0.5394535","0.53895557","0.5387706","0.5380611","0.5380408","0.5380408","0.53759027","0.53737754","0.5357142","0.53437185","0.53434104","0.53407055","0.53389007","0.5330834","0.5327413","0.53194135","0.53052896","0.53052","0.5299951","0.52878714","0.52826035","0.5282591","0.52798223","0.5278823","0.5273336","0.52657455","0.5256772","0.5253596","0.52523434","0.5244104","0.5243531","0.5243457","0.5240841","0.52210623","0.5201513","0.51971775","0.5176154","0.5167245","0.51671225","0.5157504","0.51573104","0.5154516","0.51543695","0.5149013","0.51401114","0.5136954","0.5128735","0.51256025","0.51248467","0.51229286","0.509833","0.5096565","0.50907564","0.5090439","0.5080201","0.50801456","0.50740004","0.50678647","0.50677043","0.5065316","0.50637966","0.5063789"],"string":"[\n \"0.6971977\",\n \"0.68545705\",\n \"0.68396306\",\n \"0.648774\",\n \"0.64229923\",\n \"0.6413053\",\n \"0.62823623\",\n \"0.6230398\",\n \"0.6107883\",\n \"0.60947967\",\n \"0.5950436\",\n \"0.5908044\",\n \"0.5868579\",\n \"0.58055663\",\n \"0.5708583\",\n \"0.57053006\",\n \"0.5696164\",\n \"0.5694277\",\n \"0.5672222\",\n \"0.56569475\",\n \"0.5648221\",\n \"0.56047773\",\n \"0.5588523\",\n \"0.5568097\",\n \"0.5558982\",\n \"0.5553826\",\n \"0.5545522\",\n \"0.5526287\",\n \"0.5515596\",\n \"0.5515596\",\n \"0.54820746\",\n \"0.5480458\",\n \"0.5447647\",\n \"0.54384416\",\n \"0.54287344\",\n \"0.5428681\",\n \"0.5418976\",\n \"0.5417475\",\n \"0.5394535\",\n \"0.53895557\",\n \"0.5387706\",\n \"0.5380611\",\n \"0.5380408\",\n \"0.5380408\",\n \"0.53759027\",\n \"0.53737754\",\n \"0.5357142\",\n \"0.53437185\",\n \"0.53434104\",\n \"0.53407055\",\n \"0.53389007\",\n \"0.5330834\",\n \"0.5327413\",\n \"0.53194135\",\n \"0.53052896\",\n \"0.53052\",\n \"0.5299951\",\n \"0.52878714\",\n \"0.52826035\",\n \"0.5282591\",\n \"0.52798223\",\n \"0.5278823\",\n \"0.5273336\",\n \"0.52657455\",\n \"0.5256772\",\n \"0.5253596\",\n \"0.52523434\",\n \"0.5244104\",\n \"0.5243531\",\n \"0.5243457\",\n \"0.5240841\",\n \"0.52210623\",\n \"0.5201513\",\n \"0.51971775\",\n \"0.5176154\",\n \"0.5167245\",\n \"0.51671225\",\n \"0.5157504\",\n \"0.51573104\",\n \"0.5154516\",\n \"0.51543695\",\n \"0.5149013\",\n \"0.51401114\",\n \"0.5136954\",\n \"0.5128735\",\n \"0.51256025\",\n \"0.51248467\",\n \"0.51229286\",\n \"0.509833\",\n \"0.5096565\",\n \"0.50907564\",\n \"0.5090439\",\n \"0.5080201\",\n \"0.50801456\",\n \"0.50740004\",\n \"0.50678647\",\n \"0.50677043\",\n \"0.5065316\",\n \"0.50637966\",\n \"0.5063789\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.69799536"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":89997,"cells":{"query":{"kind":"string","value":"Store the report content to the S3 storage."},"document":{"kind":"string","value":"def store_json_content(self, content, obj_key):\n try:\n logger.info('Storing the data into the S3 file %s' % obj_key)\n self.s3_resource.Object(self.CVE_BUCKET, obj_key).put(\n Body=json.dumps(content, indent=2).encode('utf-8'))\n except Exception as e:\n logger.exception('%r' % e)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def s3_store_data(self):\n\n USERHOMEDIR = os.path.expanduser('~')\n TESTFILEPATH = \"%s/3MBFILE\" % USERHOMEDIR\n if not os.path.exists(TESTFILEPATH):\n with open(TESTFILEPATH, \"wb\") as out:\n out.truncate(1024 * 1024 * 3)\n self.k.set_contents_from_filename(TESTFILEPATH)","def write_to_s3(df, bucket, path):\n pass","def store_to_s3():\n\n try:\n # establish aws/s3 connection\n s3 = boto3.client('s3',\n aws_access_key_id=ACCESS_KEY,\n aws_secret_access_key=SECRET_KEY\n )\n logger.info(\"S3 connection established!\")\n except Exception as e:\n logger.error('Fail to connect to aws s3. Please check your credentials!')\n logger.error(e)\n else:\n try:\n # upload local file to S3 bucket\n logger.info(\"Uploading {} to {} bucket as {}\".format(config.Local_File_To_Upload,\n config.Bucket_Name,\n config.S3_Filename))\n s3.upload_file(config.Local_File_To_Upload,\n config.Bucket_Name,\n config.S3_Filename)\n logger.info('File successfully uploaded to S3 bucket!')\n except FileNotFoundError:\n logger.error('File not found, pleas check the file path.')\n except Exception as e:\n logger.error(e)","def save_metadata(self, acl='public-read'):\n bucket_name = app.config['S3_BUCKET_NAME']\n s3_client = app.config['S3']\n key = self.build_s3_key('datapackage.json')\n s3_client.put_object(Bucket=bucket_name, Key=key,\n Body=self.body, ACL=acl)","def save_to_s3(filename, contents):\n s3 = boto3.resource('s3')\n obj = s3.Object(BUCKET_NAME, S3_PATH.format(filename))\n obj.put(Body=contents)","def _write(self):\n\n output_path = os.path.join(config.S3_OUTPUT, config.DATAFRAME_ARTISTS)\n dataframe = self._cache.get_source(config.DATAFRAME_ARTISTS)\n\n print('Writing dataframe to {}'.format(output_path))\n\n dataframe.write.parquet(\n output_path,\n mode='overwrite'\n )","def store_s3_contents ( s3_conn, bucket_name, key_name, key_contents = None, key_contents_filename = None ) :\n bucket = s3_conn.get_bucket( bucket_name )\n key = boto.s3.key.Key( bucket )\n key.key = key_name\n if ( key_contents_filename ) :\n key.set_contents_from_filename( key_contents_filename )\n else :\n key.set_contents_from_string( key_contents )","def _s3_stash(self):\n s3_url = 's3://{}/{}'.format(BUCKET, self.atom_file)\n bucketpath = BUCKET.strip(\"/\")\n bucketbase = BUCKET.split(\"/\")[0]\n parts = urlparse.urlsplit(s3_url)\n mimetype = 'application/xml' \n \n conn = boto.connect_s3()\n\n try:\n bucket = conn.get_bucket(bucketbase)\n except boto.exception.S3ResponseError:\n bucket = conn.create_bucket(bucketbase)\n self.logger.info(\"Created S3 bucket {}\".format(bucketbase))\n\n if not(bucket.get_key(parts.path)):\n key = bucket.new_key(parts.path)\n key.set_metadata(\"Content-Type\", mimetype)\n key.set_contents_from_filename(self.atom_file)\n msg = \"created {0}\".format(s3_url)\n self.logger.info(msg)\n else:\n key = bucket.get_key(parts.path)\n key.set_metadata(\"Content-Type\", mimetype)\n key.set_contents_from_filename(self.atom_file)\n msg = \"re-uploaded {}\".format(s3_url)\n self.logger.info(msg)","def pushToS3()-> None:\n logging.info(f\"Connecting to s3 {getTime()}\")\n s3 = boto3.client(\"s3\",endpoint_url=\"http://localhost:4566\")\n if(not s3.head_bucket(Bucket=\"demo\")):\n s3.create_bucket(Bucket='demo')\n try:\n logging.info(f\"Uploading to s3 {getTime()}\")\n s3.upload_file(\"result.csv\",\"demo\",\"result.csv\")\n logging.info(f\"Finished uploding to s3 {getTime()}\")\n except ClientError as e:\n logging.error(f\"Error uploading file to S3 {getTime()}\")","def save_to_s3(bucket, key, body):\n client = boto3.client('s3')\n s3_log = client.put_object(Body=body, Bucket=bucket, Key=key)\n \n if debug:\n print('s3_log:', s3_log)","def save_file_aws(obj, file_path, aws_credentials):\n bucket_engine = S3Bucket(*aws_credentials)\n data = gzip.compress(json.dumps(obj).encode('utf-8'))\n bucket_engine.write(file_path, data)","def write_s3_file(data, date):\n logger.info(\"Writing history file to S3.\")\n bucket = os.getenv(\"SPOTIFY_BUCKET_NAME\")\n path = os.getenv(\"SPOTIFY_BUCKET_PATH\")\n s3 = boto3.client('s3')\n data = json.dumps(data)\n s3.put_object(Bucket=bucket, Key=\"%s/%s.json\" % (path, date), Body=data)","def __save(self, df):\n try:\n with io.StringIO() as csv_buffer:\n df.sort_values(\n by=[\"congress\", \"session\", \"vote\"], inplace=True\n )\n df.to_csv(csv_buffer, index=False)\n response = self.s3_client.put_object(\n Bucket=self.AWS_BUCKET_NAME,\n Key=self.OBJ_FILENAME,\n Body=csv_buffer.getvalue(),\n )\n\n status = response.get(\"ResponseMetadata\", {}).get(\n \"HTTPStatusCode\"\n )\n\n if status != 200:\n raise Exception(\n f\"Unable to save file {self.AWS_BUCKET_NAME}/{self.OBJ_FILENAME}\"\n )\n return status\n except Exception as e:\n logging.error(\"Cloud Storage not configured for writing data… \")\n logging.error(e)\n # NOTE: Use this to fall back to local storage\n # df.to_csv(self.OBJ_FILENAME, index=False)","def save(self, path):\n if isinstance(path, str) and path.startswith(\"s3://\"):\n raise NotImplementedError(\"TODO: Implement saving to s3\")\n path = Path(path).resolve()\n \n # Make a folder to save things into\n if path.suffix == \".zip\":\n folder = path.parent / f\"tmp_{path.stem}\"\n else:\n folder = path\n folder.mkdir(parents=True, exist_ok=False)\n \n # Save the trace - ugly hack needed due to multiindex not being supported yet\n ifd = self.ifd_.copy()\n ifd.constant_data = ifd.constant_data.reset_index('idx')\n ifd.observed_data = ifd.observed_data.reset_index('idx')\n ifd.prior_predictive = ifd.prior_predictive.reset_index('idx')\n ifd.posterior_predictive = ifd.posterior_predictive.reset_index('idx')\n ifd.log_likelihood = ifd.log_likelihood.reset_index('idx')\n az.to_netcdf(ifd, folder / \"ifd.nc\")\n \n # Save other data\n self.C_mean_.rename(\"C_mean_\").to_csv(folder / \"C_mean_.csv\")\n self.C_std_.rename(\"C_std_\").to_csv(folder / \"C_std_.csv\")\n \n if path.suffix == \".zip\":\n # Save to zip\n zf = ZipFile(path, mode='w')\n for file in folder.glob(\"*\"):\n zf.write(folder / file.name, arcname=file.name)\n zf.close()\n shutil.rmtree(folder)","def copy_to_s3(self):\n self.logger.logMsg(\"Copying Files to S3\")\n str_time = datetime.datetime.today().strftime('%Y%m%d')\n out_file = \"{}/{}.csv\".format(self.outpath, str_time)\n\n try:\n session = boto3.Session(profile_name='default')\n s3_resource = session.resource('s3')\n BUCKET = 'dv-adip-sandbox-8337-us-east-1'\n rem_file = '{}.csv'.format(str_time)\n s3_resource.meta.client.upload_file(out_file, BUCKET, rem_file)\n except Exception as e:\n self.logger.logError('Error Copying Files to S3 {}'.format(str(e)))\n raise Exception('Error Copying Files to S3')\n\n self.logger.logMsg(\"Copying Files to S3 Completed\")\n\n shutil.move(out_file, self.archive)","def store(bucket, path_bucket, content, filename=\"\", file_type=None, user=None):\n b = boto_init_s3(bucket)\n if b:\n k = b.get_key(path_bucket)\n if not k:\n k = b.new_key(path_bucket)\n k.set_contents_from_string(content)\n if file_type == \"profile\":\n try:\n old_pix = ProfilePicture.objects.get(is_current=True, user_id=user)\n old_pix.is_current = False\n old_pix.save()\n except:\n pass\n ProfilePicture.objects.create(name=filename, path=path_bucket, user_id=user, is_current=True)\n else:\n if file_type == \"channel\":\n k.set_contents_from_string(content)\n return","def create(self):\n self.contents = {}\n for jira_path in s3.ls(self.s3_basepath):\n jira_issue = format_jira(jira_path.split('/')[-2])\n if self.verbose:\n print(f'Creating JIRA issue {jira_issue}...')\n self.contents[jira_issue] = {}\n self._update(s3.ls(jira_path), jira_issue)\n self._save()","def store_harvest(self, file_prefix, data):\n compressed = bz2.compress(data)\n k = f\"{self.harvest_key_prefix}/{self.harvest_date}/{file_prefix}.bz2\"\n self.s3_client.put_object(\n Body=compressed,\n Bucket=self.s3_bucket,\n Key=k,\n )","def s3(ctx, bucket_name, data_file, region):\n ctx.obj['BUCKET_NAME'] = bucket_name\n ctx.obj['DATA_FILE'] = data_file\n ctx.obj['TYPE'] = 's3'\n ctx.obj['REGION'] = region","def store_result(dataframe, filepath):\n if not filepath.startswith('gs://'):\n logging.info(\"Storing result locally in: {}\".format(filepath))\n dataframe.to_csv(filepath, index=True)\n else:\n logging.info(\"Storing result in cloud storage in path: {}\".format(filepath))\n # Content to write\n content = dataframe.to_csv(index=True)\n # Client to write with\n cs = storage.Client(project_id)\n bucket_name, blob_path = filepath[5:].split('/', 1)\n bucket = cs.bucket(bucket_name)\n blob = bucket.blob(blob_path)\n blob.upload_from_string(content)","def _upload_s3(self, filename, bucket, objectKey):\n return s3_client.upload_file(filename, bucket, objectKey)","def store(self, filename):","def push_file_to_s3(logger, app_config, s3_object_info, start_timing):\n import boto3\n s3_resource = boto3.resource('s3')\n logging.getLogger('boto3').addHandler(logger)\n s3_object = get_config_item(app_config, 's3_info.object_base') + \\\n '/' + s3_object_info['camera_name'] + '/' + \\\n s3_object_info['date_string'] + '/' + \\\n s3_object_info['hour_string'] + '/' + \\\n s3_object_info['img_type'] + '/' + \\\n s3_object_info['just_file']\n\n utc_ts = int(time.time() * 1000)\n\n object_metadata = {'camera': s3_object_info['camera_name'],\n 'camera_timestamp': str(utc_ts)}\n s3_resource.Object(get_config_item(app_config, 's3_info.bucket_name'),\n s3_object).put(Body=open(s3_object_info['file_name'], 'rb'),\n Metadata=object_metadata)\n totaltime = time.time() - start_timing\n logger.info(\"S3 Object: {} written to s3 in {} seconds.\".format(s3_object, totaltime))\n return utc_ts","def setup_bucket_w_contents(mock_s3_client, test_bucket, test_df_key, test_df):\n s3 = boto3.client('s3')\n s3.create_bucket(Bucket=test_bucket)\n\n with NamedTemporaryFile() as tmpfile:\n test_df.to_csv(tmpfile.name, index=False, header=False)\n s3.upload_file(tmpfile.name, test_bucket, test_df_key)\n\n yield","def store_keypair ( s3_infra_conn, region_name, aws_account_type, keypair_name, keypair_filename ) :\n keypair_bucket = get_admin_bucket_name( region_name = region_name )\n store_s3_contents( s3_conn = s3_infra_conn,\n bucket_name = keypair_bucket,\n key_name = get_keypair_keypath( aws_account_type ) + get_keypair_keyname( keypair_name ),\n key_contents_filename = keypair_filename )","def publish(self):\n #vprint(\"PUBLISHING \",self.__dict__)\n \n js = self.compute_json()\n name = self.name\n #topicdir = \"/topicd/\" if constants.publishToS3Dev else \"/topic/\"\n s3path = constants.compositeDir+\"/\"+name+\"/main.json\" #the path where the page will finally end up\n s3.s3SetContents(s3path,contents=js,relativeTo=\"\",contentType=\"application/json\")\n self.genPage()","def writeFileToS3(self, keyname, path, mimetype=None, acl=\"public-read\"):\n try:\n k = Key(self.BUCKET)\n k.key = keyname\n k.set_metadata('Content-Type', mimetype or self.getMime(keyname))\n k.set_contents_from_filename(path)\n k.set_acl(acl)\n return True\n except IOError, e:\n print 'Could not write file to S3:', e\n return False","def writeToS3(dataFrame, s3_key, s3_secret, s3_bucket):\n opt = {\n 'key' : s3_key,\n 'secret' : s3_secret\n }\n dataFrame.to_csv('s3://{}/csv/total_events.csv'.format(s3_bucket), storage_options=opt, index=False)","def upload_dataframe_to_s3(df, bucket_name, output_filename):\n temporary_filepath = tempfile.mkstemp()[1]\n df.to_csv(temporary_filepath, sep=\",\", index=False)\n upload_file_to_s3(\n bucket_name=bucket_name,\n input_filepath=temporary_filepath,\n output_filename=output_filename,\n )","def lambda_handler(*_):\n Log.info(\"Checking bucket %s\", S3_BUCKET)\n Log.info(\"Output Key: %s\", S3_OUTPUT_KEY)\n bucket_location, objects = s3index.get_objects(S3_BUCKET)\n filtered = s3index.filter_objects(objects)\n by_date = s3index.order_objects(filtered)\n template = s3index.template_from_string(TEMPLATE)\n index = s3index.build_index(\n template, SITE_NAME, by_date, S3_BUCKET, bucket_location)\n s3_client = boto3.client(\"s3\")\n s3_client.put_object(\n ACL=\"public-read\",\n Body=index.encode(),\n Bucket=S3_BUCKET,\n Key=S3_OUTPUT_KEY,\n ContentType=\"text/html\"\n )","def _upload_to_s3(filename):\n if not app.config.get('UPLOAD_SCREENSHOTS_TO_S3', False):\n return\n\n import boto\n from boto.s3.key import Key\n conn = boto.connect_s3()\n b = conn.get_bucket(app.config['S3_BUCKET'])\n k = Key(b)\n k.key = '{}/{}'.format(\n app.config.get('S3_FILES_PREFIX', 'sleepypuppy'),\n filename\n )\n k.set_contents_from_filename(\n \"{}/{}\".format(\n app.config['UPLOAD_FOLDER'],\n filename\n )\n )\n os.remove(\n \"{}/{}\".format(\n app.config['UPLOAD_FOLDER'],\n filename\n )\n )","def put(self, filename, data, **kw):\n\n file_path = os.path.join(self.storage_path, filename)\n file_obj = open(file_path, \"w\")\n file_obj.write(data)","def put_data_in_s3(data, filename):\n s3_client.put_object(Body=data, Bucket=CLIMATE_DATA_BUCKET, Key=filename)","def save_to_s3(self, bucket):\r\n n = 0\r\n m = self.read()\r\n while m:\r\n n += 1\r\n key = bucket.new_key('%s/%s' % (self.id, m.id))\r\n key.set_contents_from_string(m.get_body())\r\n self.delete_message(m)\r\n m = self.read()\r\n return n","def store(self, course_id, filename, buff):\r\n key = self.key_for(course_id, filename)\r\n\r\n data = buff.getvalue()\r\n key.size = len(data)\r\n key.content_encoding = \"gzip\"\r\n key.content_type = \"text/csv\"\r\n\r\n # Just setting the content encoding and type above should work\r\n # according to the docs, but when experimenting, this was necessary for\r\n # it to actually take.\r\n key.set_contents_from_string(\r\n data,\r\n headers={\r\n \"Content-Encoding\": \"gzip\",\r\n \"Content-Length\": len(data),\r\n \"Content-Type\": \"text/csv\",\r\n }\r\n )","def save(self):\n # Ensure store path exists\n store_path = self.manager.store_path\n if not os.path.exists(store_path):\n os.makedirs(store_path)\n \n # Get filepath\n filename = self._filename\n \n # Write into file\n raw = self.to_json()\n self.service.log.store('Saving %s' % filename)\n f = open(filename, 'w')\n f.write(raw)\n f.close()","def run(self):\n data = query_orm(self.orm)\n # To avoid confusion downstream: don't write out data if there isn't any\n if not data:\n return\n for table_key, version_key in self.make_s3_keys():\n save_to_s3(table_key, version_key, data)","def save_image_to_s3(filename, file):\n \n s3_path = f\"s3://shopifyimagerepository/{filename}\"\n \n s3_client.put_object(Body=file,\n Bucket=\"shopifyimagerepository\",\n Key=filename,\n ACL=\"public-read\")","def publish_artifacts(self): # pylint: disable=too-many-locals\n try:\n b3resource = boto3.resource(\n 's3', endpoint_url=os.environ[\"S3_ENDPOINT_URL\"])\n dst_s3_url = os.environ[\"S3_DST_URL\"]\n multipart_threshold = 5 * 1024 ** 5 if \"google\" in os.environ[\n \"S3_ENDPOINT_URL\"] else 8 * 1024 * 1024\n config = TransferConfig(multipart_threshold=multipart_threshold)\n bucket_name = urlparse(dst_s3_url).netloc\n try:\n b3resource.meta.client.head_bucket(Bucket=bucket_name)\n except botocore.exceptions.ClientError as exc:\n error_code = exc.response['Error']['Code']\n if error_code == '404':\n # pylint: disable=no-member\n b3resource.create_bucket(Bucket=bucket_name)\n else:\n raise exc\n except Exception as exc: # pylint: disable=broad-except\n raise exc\n path = urlparse(dst_s3_url).path.strip(\"/\")\n dst_http_url = os.environ[\"HTTP_DST_URL\"]\n output_str = \"\\n\"\n # protects if test cases return details as None\n self.details = self.details or {}\n self.details[\"links\"] = []\n for log_file in [self.output_log_name, self.output_debug_log_name]:\n if os.path.exists(os.path.join(self.dir_results, log_file)):\n abs_file = os.path.join(self.dir_results, log_file)\n mime_type = mimetypes.guess_type(abs_file)\n self.__logger.debug(\n \"Publishing %s %s\", abs_file, mime_type)\n # pylint: disable=no-member\n b3resource.Bucket(bucket_name).upload_file(\n abs_file, os.path.join(path, log_file), Config=config,\n ExtraArgs={'ContentType': mime_type[\n 0] or 'application/octet-stream'})\n link = os.path.join(dst_http_url, log_file)\n output_str += f\"\\n{link}\"\n self.details[\"links\"].append(link)\n for root, _, files in os.walk(self.res_dir):\n for pub_file in files:\n abs_file = os.path.join(root, pub_file)\n mime_type = mimetypes.guess_type(abs_file)\n self.__logger.debug(\n \"Publishing %s %s\", abs_file, mime_type)\n # pylint: disable=no-member\n b3resource.Bucket(bucket_name).upload_file(\n abs_file,\n os.path.join(path, os.path.relpath(\n os.path.join(root, pub_file),\n start=self.dir_results)),\n Config=config,\n ExtraArgs={'ContentType': mime_type[\n 0] or 'application/octet-stream'})\n link = os.path.join(dst_http_url, os.path.relpath(\n os.path.join(root, pub_file),\n start=self.dir_results))\n output_str += f\"\\n{link}\"\n self.details[\"links\"].append(link)\n self.__logger.info(\n \"All artifacts were successfully published: %s\\n\", output_str)\n return TestCase.EX_OK\n except KeyError as ex:\n self.__logger.error(\"Please check env var: %s\", str(ex))\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR\n except botocore.exceptions.NoCredentialsError:\n self.__logger.error(\n \"Please fill ~/.aws/credentials, ~/.boto or set \"\n \"AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY in env\")\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR\n except Exception: # pylint: disable=broad-except\n self.__logger.exception(\"Cannot publish the artifacts\")\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR","def store_blob(self, data, download_meta, blob_id=None):\n if blob_id is None:\n blob_id = str(uuid.uuid4())\n\n content_type = download_meta.get('type', 'binary/octet-stream')\n put_kwargs = dict(\n Bucket=self.bucket,\n Key=blob_id,\n Body=data,\n ContentType=content_type\n )\n if self.kms_key_id:\n put_kwargs.update({\n 'ServerSideEncryption': 'aws:kms',\n 'SSEKMSKeyId': self.kms_key_id\n })\n self.s3.put_object(**put_kwargs)\n download_meta['bucket'] = self.bucket\n download_meta['key'] = blob_id\n download_meta['blob_id'] = str(blob_id)","def upload_file_to_s3(self, file_data):\r\n\r\n file_key = file_data.name + datetime.now(UTC).strftime(\r\n xqueue_interface.dateformat\r\n )\r\n\r\n file_data.seek(0)\r\n s3_public_url = upload_to_s3(\r\n file_data, file_key, self.s3_interface\r\n )\r\n\r\n return s3_public_url","def store_provider_data(self, region: str, data):\n return s3client.upload_file_from_variable(data, self.provider_name() + \"/\" + region + \"/\" +\n datetime.datetime.utcnow().isoformat() + \".json\")","def save_config(config):\n\n LOGGER.info(f\"Writing config to bucket {BUCKET} with key {CONFIG_S3_KEY}.\") \n save_json(BUCKET, CONFIG_S3_KEY, config)","def put_object(self, account, container, object, content):#put a file to server\n \n pass","def publish():\n reset()\n compress()\n build()\n s3deploy()\n log_success()","def write_to_S3(data_bucket, data_key, model_version, bucket_name):\n df = get_S3_df(data_bucket, data_key)\n X = df.drop(columns='target')\n y = df['target']\n fitted_model = fit(RF, X, y)\n\n key = f'model_{model_version}.joblib'\n\n with tempfile.TemporaryFile() as file:\n joblib.dump(fitted_model, file)\n file.seek(0)\n\n s3_resource = boto3.resource('s3')\n s3_resource.Object(bucket_name, key).put(Body=file.read())","def upload(iid, file_obj, content_type):\n if AWS_CLIENT_CONFIG and BUCKET_NAME:\n try:\n s3 = boto3.resource('s3', **AWS_CLIENT_CONFIG)\n s3.Bucket(BUCKET_NAME).put_object(Key=iid,\n Body=file_obj,\n ContentType=content_type)\n return StorageType.S3\n except botocore.exceptions.ClientError as e:\n logger.error(e)\n else:\n # store locally in temp dir (tests, local development)\n store_temp_file(iid, file_obj)\n return StorageType.TMP\n return None","def upload_object(self, file_path, s3_path):\n logging.info(\"Uploading file to \\\"{}\\\" to S3\".format(s3_path))\n bucket_name, key = S3Util.get_bucket_and_key(s3_path)\n self.s3_resource.Bucket(bucket_name).upload_file(file_path, key)","def _put(conn, remote_file, contents, bucket_name=BUCKET_NAME, headers=None):\n error_msg = 'Failed to upload to %s' % remote_file\n try:\n reply = conn.put(bucket_name, remote_file,\n S3.S3Object(contents), headers)\n if reply.http_response.status != 200:\n print error_msg\n except:\n print error_msg","def save_to_gcs(df, file, bucket=settings.ASSETS.BUCKET):\n output_file = NamedTemporaryFile().name\n df.to_csv(output_file, compression=\"gzip\", index=False)\n upload_blob(bucket, output_file, file)","def put_object(self, key, data):\n self.s3client.put_object(Bucket=self.s3_bucket, Key=key, Body=data)","def output(self):\n for table_key, version_key in self.make_s3_keys():\n return S3Target(f\"s3://{BUCKET}/{table_key}\")","def _write_manifest_to_s3(self, manifest_file):\n account = self.boto_session.client(\"sts\").get_caller_identity()[\"Account\"]\n s3_client = self.boto_session.client(\"s3\")\n region = self.boto_session.region_name\n\n # write to s3 bucket\n manifest_bucket_name = \"sagemaker-{}-{}\".format(region, account)\n timstamp = str(int(time.time()))\n manifest_s3_file_key = f\"{self.experiment_id}/manifest_files/manifest-{timstamp}\"\n body = b\"\"\n body += str(json.dumps(manifest_file, sort_keys=True, indent=4)).encode(\"utf_8\")\n try:\n s3_client.put_object(Body=body, Bucket=manifest_bucket_name, Key=manifest_s3_file_key)\n\n except ClientError as e:\n error_code = e.response[\"Error\"][\"Code\"]\n message = e.response[\"Error\"][\"Message\"]\n raise RuntimeError(\n \"Failed to upload manifest data with error {}: {}\".format(error_code, message)\n )\n\n manifest_file_path = f\"s3://{manifest_bucket_name}/{manifest_s3_file_key}\"\n logger.info(f\"Successfully upload manifest file to s3 bucket path `{manifest_file_path}'\")\n return manifest_file_path","def write_to_s3(file_path: str, data: str, content_type: str = \"application/json\") -> int:\n s3_save_path = urljoin(settings.s3_bucket_path, file_path)\n\n write_count = 0\n upload_args = get_upload_args(content_type)\n\n with open(\n s3_save_path,\n \"w\",\n transport_params=dict(multipart_upload_kwargs=upload_args),\n ) as fh:\n write_count = fh.write(data)\n\n logger.info(\"Wrote {} to {}\".format(len(data), s3_save_path))\n\n return write_count","def save_text(bucket, key, data):\n\n s3 = boto3.resource(\"s3\")\n s3.Bucket(bucket).put_object(Key=key, Body=data, ACL='public-read', ContentType='text/plain')","def upload_data_to_s3(data: dict, bucket_name: str, object_key: str) -> None:\n uploader = S3Uploader(bucket_name)\n with tempfile.NamedTemporaryFile(mode=\"w+\") as local_file:\n json.dump(data, local_file, cls=FancyJsonEncoder, indent=\" \", sort_keys=True)\n local_file.write(\"\\n\")\n local_file.flush()\n uploader(local_file.name, object_key)","def save_to_s3(bucket, path, data, compress=False):\n bucket = get_bucket(bucket)\n\n key = Key(bucket)\n key.key = path\n logger.debug(\"Uploading to %s\", key.key)\n\n if compress:\n mock_file = BytesIO()\n gzip_obj = gzip.GzipFile(filename='gzipped_file', mode='wb', fileobj=mock_file)\n if isinstance(data, str):\n data = data.encode('utf-8')\n gzip_obj.write(data)\n gzip_obj.close()\n data = mock_file.getvalue()\n\n key.set_contents_from_string(data)","def save_to_store(content, name, mime_type, location):\r\n content_location = Transcript.asset_location(location, name)\r\n content = StaticContent(content_location, name, mime_type, content)\r\n contentstore().save(content)\r\n return content_location","def save_h5_file(self, result_dict, loc_id):\n if self.storage_type == 's3':\n file_path = '{0}/{1}_combined.h5'.format(\n self.output_path,\n loc_id\n )\n hf_result = h5py.File(file_path, 'w')\n for k, v in result_dict.items():\n hf_result.create_dataset(k, data=v)\n hf_result.close()\n else:\n file_path = os.path.join(self.output_path, '{0}_combined.h5'.format(loc_id))\n hf_result = h5py.File(file_path, 'w')\n for k, v in result_dict.items():\n hf_result.create_dataset(k, data=v)\n hf_result.close()\n return file_path","def test_amazon_s3_store_data(self):\n config = Config()\n metadata_bucket = config.config.get(\"metadata\", \"bucket\")\n data_bucket = config.config.get(\"data\", \"bucket\")\n metadata_provider = amazon.S3(config, metadata_bucket).connect()\n provider = amazon.S3(config, data_bucket).connect()\n\n datas = dict()\n metadatas = dict()\n\n for data, metadata in ((\"Data 1\", \"Metadata 1\"),\n (\"Data 2\", \"Metadata 2\")):\n key = checksum_data(data)\n metadata_provider.store(key, metadata)\n provider.store(key, data)\n new_metadata = metadata_provider.retrieve(key)\n new_data = provider.retrieve(key)\n self.assertEqual(new_data, data)\n self.assertEqual(new_metadata, metadata)\n datas[key] = data\n metadatas[key] = metadata\n for key, metadata in metadata_provider.list().items():\n self.assertEqual(metadata, metadatas[key])\n for key, data in provider.list().items():\n self.assertEqual(data, datas[key])\n for key, metadata in metadatas.items():\n metadata_provider.delete(key)\n for key, data in datas.items():\n provider.delete(key)\n metadata_provider.disconnect()\n provider.disconnect()","def upload(self, path, data, headers={}):\n\n client = AsyncHTTPClient()\n method = 'PUT'\n url = self.generate_url(path)\n url_object = urlparse(url)\n params = {\n 'SignatureMethod': 'AWS4-HMAC-SHA256'\n }\n\n headers.update({\n 'Content-Length': str(len(data)),\n 'Content-Type': self._guess_mimetype(path),\n 'Date': self._rfc822_datetime(),\n 'Host': url_object.hostname,\n 'X-Amz-Content-sha256': hashlib.sha256(data).hexdigest(),\n })\n\n try:\n response = yield client.fetch(\n self.sign_request(\n url_object.hostname,\n url_object.path,\n params,\n headers,\n method,\n data\n ),\n method=method,\n body=data,\n connect_timeout=AWS_S3_CONNECT_TIMEOUT,\n request_timeout=AWS_S3_REQUEST_TIMEOUT,\n headers=headers\n )\n except HTTPError as error:\n log.error(error)\n if error.response:\n log.error(error.response.body)\n raise Return(None)\n\n raise Return(response)","def _save_content(self, obj, content, parameters):\n # Seek our content back to the start\n content.seek(0, os.SEEK_SET)\n\n # Create a temporary file that will write to disk after a specified size\n content_autoclose = SpooledTemporaryFile()\n\n # Write our original content into our copy that will be closed by boto3\n content_autoclose.write(content.read())\n\n # Upload the object which will auto close the content_autoclose instance\n super(PrivateMediaStorage, self)._save_content(obj, content_autoclose, parameters)\n \n # Cleanup if this is fixed upstream our duplicate should always close \n if not content_autoclose.closed:\n content_autoclose.close()","def store(self, results):\n filename = self.get_archive_file_path(results)\n results.dump(filename)","def upload_to_s3(file_path, config):\n logging.info(\"Uploading file to S3 bucket: %s\", config['s3_bucket_name'])\n s3 = boto3.resource('s3')\n s3_filename = config['s3_bucket_path'] + config['rendered_filename']\n s3.Bucket(config['s3_bucket_name']).upload_file(\n file_path, s3_filename, ExtraArgs={\n 'ContentType': 'text/html', 'ACL': 'public-read'})","def _upload(self, errors):\n if self.backup_bucket is None:\n return\n\n try:\n with open(\"%s/%s.tar.gz\"%(self.backup_path, self.name), 'r+') as f:\n s3upload.upload_to_s3(f,\n self.backup_bucket,\n \"%s/%s.tar.gz\"%(self.backup_id, self.name))\n\n # Cleaning up resources, since the upload was successful\n run(\"rm -f %s/%s.tar.gz\"%(self.backup_path, self.name))\n except Exception as e:\n logging.exception(e)\n errors.put(Exception(\"Error uploading %s server backup to S3\" % self.name))\n traceback.print_exc()","def put(self, path: str, filename: str) -> None:\n\n payload_hash, content_md5, length = _hash(path)\n\n now = datetime.datetime.utcnow()\n timestamp = now.strftime('%Y%m%dT%H%M%SZ')\n headers = [\n ('Connection', 'keep-alive'),\n ('Content-Length', str(length)),\n ('Content-MD5', content_md5),\n ('Content-Type', 'application/zip'),\n ('Date', now.strftime('%a, %d %b %Y %H:%M:%S GMT')),\n ('Host', '%s.s3.amazonaws.com' % self.bucket),\n ('x-amz-content-sha256', payload_hash),\n ('x-amz-date', timestamp),\n ]\n signed_headers = ';'.join(header[0].lower() for header in headers)\n canonical_request = 'PUT\\n%s\\n\\n%s\\n\\n%s\\n%s' % (filename, '\\n'.join(\n ('%s:%s' % (header[0].lower(), header[1])\n for header in headers)), signed_headers, payload_hash)\n logging.debug('canonical request %r',\n canonical_request.encode('utf-8'))\n string_to_sign = 'AWS4-HMAC-SHA256\\n%s\\n%s\\n%s' % (\n timestamp, self.scope,\n hashlib.sha256(canonical_request.encode('utf-8')).hexdigest())\n logging.debug('string to sign %r', string_to_sign.encode('utf-8'))\n\n signature = hmac.new(self.signing_key,\n string_to_sign.encode('utf-8'),\n digestmod='sha256').hexdigest()\n headers.append((\n 'Authorization',\n 'AWS4-HMAC-SHA256 Credential=%s/%s,SignedHeaders=%s,Signature=%s' %\n (self.aws_access_key, self.scope, signed_headers, signature)))\n with open(path, 'rb') as file_stream:\n if not self.conn:\n self.conn = http.client.HTTPSConnection('%s.s3.amazonaws.com' %\n self.bucket)\n try:\n self.conn.request('PUT',\n filename,\n file_stream,\n headers=dict(headers))\n res = self.conn.getresponse()\n payload = res.read()\n except (http.client.BadStatusLine, http.client.ResponseNotReady,\n http.client.CannotSendRequest):\n self.conn.close()\n raise\n if res.status != 200:\n raise Exception(payload.decode('utf-8'))","def store(self, file_path):\n url = self.base_url + \"/solution-service/cloud-solution/storage\"\n headers = {\"ApiKey\": self.api_key}\n files = {'file': open(str(file_path), 'rb')}\n response = requests.post(url=url, headers=headers, files=files, verify=False)\n response = response.json()\n return response","def upload(filename, bucket):\n print(\"Uploading {} to S3\".format(filename.lower().replace('_', '-')))\n url = \"https://s3.ca-central-1.amazonaws.com/{}/{}\".format(bucket,\n filename.lower().replace('_', '-'))\n with open('{}/{}'.format(WORK_DIR, filename), 'rb') as data:\n requests.put(url, data=data)","def upload(jsonfiles):\n # clear S3 Bucket\n bucket = S3Bucket()\n bucket.clear()\n for jsonfile in jsonfiles:\n filename = os.path.basename(jsonfile)\n key = build_key(filename)\n logging.info(\"%s %s\", filename, key)\n # store json in S3 object\n bucket.store(key, jsonfile)","def save(self):\r\n if self._storage:\r\n self._storage.store(self, *self._storage_args)\r\n else:\r\n raise StorageNotSetError()","def post(self, request, format=None):\n filename = int(time.time())\n s3c = boto3.client('s3',\n aws_access_key_id=settings.AWS_ACCESS_KEY_ID,\n aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY)\n handle_txt = StringIO(request.data.get('keywords', ''))\n txt_file = s3c.put_object(Bucket=settings.AWS_STORAGE_BUCKET_NAME,\n Key='txt/{0}.txt'.format(filename), Body=handle_txt.read())\n result = {\n 'file': '{0}txt/{1}.txt'.format(settings.AWS_S3_ROOT, filename)\n }\n return Response(result)","def save_content(obj):\n filename, _, _, content = obj\n storage = get_storage(config['Instance']['content_dir'])\n return storage.save(filename, ContentFile(content))","def upload_from_path_to_s3(file_path):\n bucket_name = \"alp-reports-lambda\"\n environment = \"dev\" if os.environ.get('LOCAL') else \"prod\"\n object_key = f\"{environment}/835/{file_path.split('/')[-1]}\"\n\n s3 = boto3.resource('s3')\n s3.Object(bucket_name, object_key).upload_file(file_path, ExtraArgs={'ACL': 'public-read'})\n\n return f\"https://s3.amazonaws.com/{bucket_name}/{object_key}\"","def collect_s3(self):\n print('Collecting artifacts matching %s from S3 bucket %s' % (self.match, s3_bucket))\n self.s3 = boto3.resource('s3')\n self.s3_bucket = self.s3.Bucket(s3_bucket)\n self.s3_client = boto3.client('s3')\n for item in self.s3_client.list_objects(Bucket=s3_bucket, Prefix='librdkafka/').get('Contents'):\n self.collect_single(item.get('Key'))\n\n for a in self.artifacts:\n a.download()","def move_data_google_sheets_to_s3():\n\n # Set up service account object\n service_account = gspread.service_account()\n sheet = service_account.open(\"Workout log\")\n worksheet = sheet.get_worksheet(0)\n # Pull down worksheet as dataframe\n raw_df = get_as_dataframe(worksheet,\n parse_dates=True,\n usecols=[0, 1, 2],\n skiprows=None)\n _df = raw_df[pd.notnull(raw_df['Date'])]\n\n # Write dataframe to s3\n file_name = \"daily_run_log.csv\"\n csv_buffer = StringIO()\n _df.to_csv(csv_buffer)\n s3_resource = boto3.resource('s3')\n s3_resource.Object(BUCKET, file_name).put(Body=csv_buffer.getvalue())","def upload(self, *route, **req_data):\n # Read the FieldStorage.\n file_desc = req_data['file']\n file_mimetype = req_data['mimetype']\n if not isinstance(file_desc, FieldStorage):\n # Python is dangerous when the type is incorrectly assumed.\n return Response(b'invalid request body', status='400 Bad Request')\n\n # Persist the file.\n data_id = get_bucket().put(file_desc.value)\n to_store = StoredFile(\n id=uuid4().hex,\n data_id=data_id,\n mimetype=file_mimetype,\n content_length=len(file_desc.value),\n original_name=file_desc.filename\n )\n StoredFile.collection().put(to_store)\n\n log_activity('%s uploaded file %s'%(\n context.user.link, to_store.access_link\n ))\n\n # Respond.\n return Response(\n bytes(to_store.access_url, 'utf-8'),\n status='201 Created'\n )","def upload_to_s3(file_from_machine, bucket, file_to_s3):\n s3.upload_file(file_from_machine, bucket, file_to_s3)\n print(file_to_s3, \" : is upoaded to s3\")","def sync_to_s3(pathname, bucket):\n BUCKET_MANAGER.sync(pathname, bucket)\n print(BUCKET_MANAGER.get_bucket_url(BUCKET_MANAGER.s3.Bucket(bucket)))","def test_amazon_s3_store_filename(self):\n config = Config()\n metadata_bucket = config.config.get(\"metadata\", \"bucket\")\n data_bucket = config.config.get(\"data\", \"bucket\")\n metadata_provider = amazon.S3(config, metadata_bucket).connect()\n provider = amazon.S3(config, data_bucket).connect()\n key = checksum_file(\"LICENSE\")\n metadata_provider.store(key, \"LICENSE METADATA\")\n provider.store_from_filename(key, \"LICENSE\")\n t = tempfile.NamedTemporaryFile()\n metadata = metadata_provider.retrieve(key)\n provider.retrieve_to_filename(key, t.name)\n self.assertEqual(file(\"LICENSE\").read(), file(t.name).read())\n self.assertEqual(\"LICENSE METADATA\", metadata)\n metadata_provider.delete(key)\n provider.delete(key)\n metadata_provider.disconnect()\n provider.disconnect()","def save(self):\n\n toStore = {\n key: obj.to_dict()\n for key, obj in FileStorage.__objects.items()\n }\n with open(FileStorage.__file_path, 'wt') as file:\n json.dump(toStore, file)","def uploadFilestoS3(self):\n allfilesuploadedcount = 0\n for eachfiledic in self.fileTobeUploaded:\n if eachfiledic[\"uploadedSuccess\"] == 0: #Means this file never got uploaded.\n if os.path.getsize(eachfiledic[\"filepath\"]) < 1000000000: #<1GB\n s3Log.info (\"FileSize < 1GB for :{}, so using single part upload.\".format(eachfiledic[\"filepath\"]) )\n if self.singlePartUpload(eachfiledic) == True:\n eachfiledic[\"uploadedSuccess\"] = 1\n allfilesuploadedcount = allfilesuploadedcount + 1\n else:\n s3Log.info (\"FileSize > 1GB for :{}, so using Multi Part upload. \\n\".format(eachfiledic[\"filepath\"]) )\n if self.multiPartUpload(eachfiledic) == True:\n eachfiledic[\"uploadedSuccess\"] = 1\n allfilesuploadedcount = allfilesuploadedcount + 1\n\n\n elif eachfiledic[\"uploadedSuccess\"] == 1: #Means it got uploaded in the last run.\n allfilesuploadedcount = allfilesuploadedcount + 1\n\n self.saveStateOfThisRun()\n if len(self.fileTobeUploaded) == allfilesuploadedcount: #Means we uploaded all files in the queue\n return True\n else:\n return False","def upload(filename, records):\n client = storage.Client()\n bucket = client.bucket(TEST_BUCKET)\n if records is not None:\n blob = bucket.blob(filename)\n blob.upload_from_string(convert_to_csv(records))\n return bucket","def store_file(self, key, local_file):\n\t\t\n\t\ttry:\n\t\t\tdata = open(local_file, 'r').read()\n\t\t\tself.s3.put(\n\t\t\t\tself.bucket,\n\t\t\t\tkey,\n\t\t\t\tS3Object(data), {\n\t\t\t\t\t'Content-Type': 'application/x-bzip2',\n\t\t\t\t\t'x-amz-acl': 'private',\n\t\t\t\t\t'Content-Length': len(data)\n\t\t\t\t}\n\t\t\t)\n\t\texcept:\n\t\t\treturn False","def store_cache(base_url, data, path=\"logs/\"):\n\n # Convert URL to filename and write html content into that file\n url_filename = url_to_filename(base_url)\n filename = f\"{path}CACHE-{url_filename}.html\"\n f = open(filename, \"w+\")\n f.write(data)\n f.close()","def write_headers_and_data(self):\n\n if self.config.flag_storedata:\n fpath, fhdr, dirpath = self.get_url_store_paths()\n # Write data to fpath\n # Write data ONLY if either last-modified or etag header is found.\n dhdr = dict(self.headers)\n lmt, etag = dhdr.get('last-modified'), dhdr.get('etag')\n \n try:\n with utils.ignore(): os.makedirs(dirpath)\n\n # Issue http://gitlab.tingtun.no/eiii/eiii_crawler/issues/412\n # Always save starting URL.\n # Hint - parent_url is None for starting URL.\n if ((self.parent_url == None) or (lmt != None) or (etag != None)) and self.content:\n open(fpath, 'wb').write(zlib.compress(self.content))\n log.info('Wrote URL content to',fpath,'for URL',self.url)\n\n if self.headers:\n # Add URL to it\n self.headers['url'] = self.url\n open(fhdr, 'wb').write(zlib.compress(str(dict(self.headers))))\n log.info('Wrote URL headers to',fhdr,'for URL',self.url) \n except Exception, e:\n # raise\n log.error(\"Error in writing URL data for URL\",self.url)\n log.error(\"\\t\",str(e))","def persistToStore(self, items, requestInstance):\n self._dbConnection = self.mongoConnection()\n imgStored = 0\n\n if (self.mongoConnection() and self.cumulusConnection()):\n\n try:\n contain = self._cumulusConnection.get_bucket(self._containerName)\n except boto.exception.S3ResponseError as detail:\n if(detail.reason.strip() == \"Not Found\"):\n self._log.warning(\"Creating bucket\")\n self._cumulusConnection.create_bucket(self._containerName)\n contain = self._cumulusConnection.get_bucket(self._containerName)\n else:\n self._log.error(\"Code and reason \" + detail.code + \" \" + detail.reason)\n self._log.error(\"Error in ImgStorecumulusMongo - queryToStore. full error \" + str(sys.exc_info()))\n except:\n self._log.error(\"Error in ImgStorecumulusMongo - persistToStore. \" + str(sys.exc_info()))\n\n try:\n dbLink = self._dbConnection[self._dbName]\n collection = dbLink[self._datacollection]\n collectionMeta = dbLink[self._metacollection]\n\n k = Key(contain)\n\n for item in items:\n\n k.key = item._imgId\n if requestInstance == None:\n k.set_contents_from_filename(item._imgURI)\n else:\n requestInstance.file.seek(0)\n k.set_contents_from_file(requestInstance.file)\n\n tags = item._imgMeta._tag.split(\",\")\n tags_list = [x.strip() for x in tags]\n meta = {\"_id\": item._imgId,\n \"os\" : item._imgMeta._os,\n \"arch\" : item._imgMeta._arch,\n \"owner\" : item._imgMeta._owner,\n \"description\" : item._imgMeta._description,\n \"tag\" : tags_list,\n \"vmType\" : item._imgMeta._vmType,\n \"imgType\" : item._imgMeta._imgType,\n \"permission\" : item._imgMeta._permission,\n \"imgStatus\" : item._imgMeta._imgStatus,\n }\n data = {\"_id\": item._imgId,\n \"createdDate\" : datetime.utcnow(),\n \"lastAccess\" : datetime.utcnow(),\n \"accessCount\" : 0,\n \"size\" : item._size,\n \"extension\" : item._extension,\n }\n\n collectionMeta.insert(meta, safe=True)\n collection.insert(data, safe=True)\n\n imgStored += 1\n\n except pymongo.errors.AutoReconnect:\n self._log.warning(\"Autoreconnected.\")\n except pymongo.errors.ConnectionFailure:\n self._log.error(\"Connection failure. The file has not been stored. Image details: \" + item.__str__() + \"\\n\")\n except IOError:\n self._log.error(\"Error in ImgStorecumulusMongo - persistenToStore. \" + str(sys.exc_info()))\n self._log.error(\"No such file or directory. Image details: \" + item.__str__())\n except TypeError:\n self._log.error(\"TypeError in ImgStorecumulusMongo - persistenToStore \" + str(sys.exc_info()))\n except pymongo.errors.OperationFailure:\n self._log.error(\"Operation Failure in ImgStorecumulusMongo - persistenToStore. \" + str(sys.exc_info()))\n except:\n self._log.error(\"Error in ImgStoreCumulusMongo - persistToStore. \" + str(sys.exc_info()))\n finally:\n self._dbConnection.disconnect()\n else:\n self._log.error(\"Could not get access to the database. The file has not been stored\")\n\n for item in items: \n cmd = \"rm -f \" + item._imgURI\n os.system(cmd)\n\n if (imgStored == len(items)):\n return True\n else:\n return False","def store(self, key, filepath):\n if not key or not filepath:\n return False\n # check that file actually exists and handle errors\n if not os.path.isfile(filepath):\n logging.error(\"File '%s' does not exists, skipping\", filepath)\n return False\n else:\n obj = self.resource.Object(self.bucketname, key)\n obj.put(Body=open(filepath, 'rb'))\n obj.Acl().put(ACL='public-read')\n return True","def test_write_file_to_bucket(\n self,\n mcg_obj,\n awscli_pod,\n bucket_class_factory,\n bucket_factory,\n interface,\n bucketclass_dict,\n ):\n # Retrieve a list of all objects on the test-objects bucket and\n # downloads them to the pod\n data_dir = \"/data\"\n bucketname = bucket_factory(\n 1, interface=interface, bucketclass=bucketclass_dict\n )[0].name\n full_object_path = f\"s3://{bucketname}\"\n downloaded_files = retrieve_test_objects_to_pod(awscli_pod, data_dir)\n # Write all downloaded objects to the new bucket\n sync_object_directory(awscli_pod, data_dir, full_object_path, mcg_obj)\n\n assert set(downloaded_files).issubset(\n obj.key for obj in mcg_obj.s3_list_all_objects_in_bucket(bucketname)\n )","def storage_save_report_file(self, filename, data, report_id=None):\n if not report_id:\n report_id = os.path.splitext(os.path.basename(filename))[0]\n obj = self.storage_model.objects.create(owner=self.user,\n report_id=report_id,\n file=File(data, name=filename))\n return obj","def save_json(self, bucket, key, df, compression=None, **kwargs):\n data_obj = df.to_json(**kwargs)\n\n if compression == \"gzip\":\n data_obj = self._gzip_str(data_obj)\n\n elif compression is not None and compression != \"gzip\":\n raise UnsupportedCompressionException(compression)\n\n self._s3.Object(bucket, key).put(Body=data_obj, ContentType=\"application/json\")\n\n return self.key_exists(bucket, key)","def upload(self, bucket, object, filename, mime_type='application/octet-stream'):\n service = self.get_conn()\n media = MediaFileUpload(filename, mime_type)\n response = service \\\n .objects() \\\n .insert(bucket=bucket, name=object, media_body=media) \\\n .execute()","def data_pull_s3(self):\n year = self.month_year[0]\n month = self.month_year[1]\n self.s3 = boto3.resource('s3',aws_access_key_id=self.creds_data['key_id'],\n aws_secret_access_key=self.creds_data['key_access'])\n bucket = self.s3.Bucket('himatdata')\n home = os.getcwd()\n file_path = os.path.join(*[home, 'Trmm/', self.output_folder, year + '_' + month])\n print(file_path)\n if not os.path.exists(file_path):\n os.makedirs(file_path)\n for obj in bucket.objects.filter(Delimiter='', Prefix='Trmm/{}{}_{}'.format(self.output_folder, year, month)):\n if obj.key.endswith('.nc4'):\n bucket.download_file(obj.key,os.path.join(os.path.join(home, obj.key)))\n logging.info(\"Done with Year Month: %s\", month_year)","def save(self, hash_str, mime_type):\n if not os.path.exists(self.path):\n os.makedirs(self.path)\n data = self._get_resource_by_hash(hash_str)\n file_name = hash_str + MIME_TO_EXTESION_MAPPING[mime_type]\n file_path = os.path.join(self.path, file_name)\n if not os.path.isfile(file_path):\n with open(file_path, \"w\") as f:\n f.write(data)\n return \"file://\" + file_path","def test_put_file(self):\n self.prepare_uploads()\n backend = BackendS3(**self.config)\n uploads = self.upload_path\n src = os.path.join(uploads, 'demo-test.tar.gz')\n id = utils.generate_id('demo-test.tar.gz')\n backend.put(src, id)\n path = '/'.join(backend.id_to_path(id)) + '/demo-test.tar.gz'\n self.assertTrue(backend.exists(path))","def backup_inventory(self):\n if config.get(\"aws\", \"s3_bucket\"):\n archives = self.load_archives()\n\n s3_bucket = S3Backend(self.conf).bucket\n k = Key(s3_bucket)\n k.key = self.backup_key\n\n k.set_contents_from_string(json.dumps(archives))\n\n k.set_acl(\"private\")","def put_contents( path, name, contents, dryrun = False, get_config=lambda: {}, verbose=False ):\n t_file_fh, t_file_name = tempfile.mkstemp()\n os.close(t_file_fh)\n print(contents, file=open(t_file_name,\"w\"))\n if not dryrun:\n fs_mod.fs_put( t_file_name, path+\"/\"+name, get_config, verbose )\n if not path.startswith(\"s3://\"):\n t = time.time()\n fs_mod.fs_utime( path+\"/\"+name, (t,t), get_config )\n os.remove(t_file_name)\n return","def _StoreMetadataToFile(payload_dir, metadata_obj):\n file_dict = {SHA1_ATTR: metadata_obj.sha1,\n SHA256_ATTR: metadata_obj.sha256,\n SIZE_ATTR: metadata_obj.size,\n ISDELTA_ATTR: metadata_obj.is_delta_format}\n metadata_file = os.path.join(payload_dir, METADATA_FILE)\n with open(metadata_file, 'w') as file_handle:\n json.dump(file_dict, file_handle)","def save_image(self):\n self.table_to_image.img.save(self.file_name)\n aws.AWSHandler().upload_image(self.file_name)","def save_pickle_to_s3(bucket, path, data):\n pickled_data = pickle.dumps(data)\n save_to_s3(bucket, path, pickled_data)","def save(src, dest, verbose=False):\n bucket = connect()\n s3 = Key(bucket)\n s3.key = dest\n try:\n if verbose:\n s3.set_contents_from_filename(src, cb=progress_update)\n else:\n s3.set_contents_from_filename(src)\n return s3\n except gaierror as e:\n l.error(\"Network error encountered trying to reach Amazon S3: %s\", e)\n return False\n except IOError as e:\n l.exception(\"Error reading from source file: %s\", e)\n return False\n except:\n l.exception(\"Uncaught exception while saving to Amazon S3.\")\n return False"],"string":"[\n \"def s3_store_data(self):\\n\\n USERHOMEDIR = os.path.expanduser('~')\\n TESTFILEPATH = \\\"%s/3MBFILE\\\" % USERHOMEDIR\\n if not os.path.exists(TESTFILEPATH):\\n with open(TESTFILEPATH, \\\"wb\\\") as out:\\n out.truncate(1024 * 1024 * 3)\\n self.k.set_contents_from_filename(TESTFILEPATH)\",\n \"def write_to_s3(df, bucket, path):\\n pass\",\n \"def store_to_s3():\\n\\n try:\\n # establish aws/s3 connection\\n s3 = boto3.client('s3',\\n aws_access_key_id=ACCESS_KEY,\\n aws_secret_access_key=SECRET_KEY\\n )\\n logger.info(\\\"S3 connection established!\\\")\\n except Exception as e:\\n logger.error('Fail to connect to aws s3. Please check your credentials!')\\n logger.error(e)\\n else:\\n try:\\n # upload local file to S3 bucket\\n logger.info(\\\"Uploading {} to {} bucket as {}\\\".format(config.Local_File_To_Upload,\\n config.Bucket_Name,\\n config.S3_Filename))\\n s3.upload_file(config.Local_File_To_Upload,\\n config.Bucket_Name,\\n config.S3_Filename)\\n logger.info('File successfully uploaded to S3 bucket!')\\n except FileNotFoundError:\\n logger.error('File not found, pleas check the file path.')\\n except Exception as e:\\n logger.error(e)\",\n \"def save_metadata(self, acl='public-read'):\\n bucket_name = app.config['S3_BUCKET_NAME']\\n s3_client = app.config['S3']\\n key = self.build_s3_key('datapackage.json')\\n s3_client.put_object(Bucket=bucket_name, Key=key,\\n Body=self.body, ACL=acl)\",\n \"def save_to_s3(filename, contents):\\n s3 = boto3.resource('s3')\\n obj = s3.Object(BUCKET_NAME, S3_PATH.format(filename))\\n obj.put(Body=contents)\",\n \"def _write(self):\\n\\n output_path = os.path.join(config.S3_OUTPUT, config.DATAFRAME_ARTISTS)\\n dataframe = self._cache.get_source(config.DATAFRAME_ARTISTS)\\n\\n print('Writing dataframe to {}'.format(output_path))\\n\\n dataframe.write.parquet(\\n output_path,\\n mode='overwrite'\\n )\",\n \"def store_s3_contents ( s3_conn, bucket_name, key_name, key_contents = None, key_contents_filename = None ) :\\n bucket = s3_conn.get_bucket( bucket_name )\\n key = boto.s3.key.Key( bucket )\\n key.key = key_name\\n if ( key_contents_filename ) :\\n key.set_contents_from_filename( key_contents_filename )\\n else :\\n key.set_contents_from_string( key_contents )\",\n \"def _s3_stash(self):\\n s3_url = 's3://{}/{}'.format(BUCKET, self.atom_file)\\n bucketpath = BUCKET.strip(\\\"/\\\")\\n bucketbase = BUCKET.split(\\\"/\\\")[0]\\n parts = urlparse.urlsplit(s3_url)\\n mimetype = 'application/xml' \\n \\n conn = boto.connect_s3()\\n\\n try:\\n bucket = conn.get_bucket(bucketbase)\\n except boto.exception.S3ResponseError:\\n bucket = conn.create_bucket(bucketbase)\\n self.logger.info(\\\"Created S3 bucket {}\\\".format(bucketbase))\\n\\n if not(bucket.get_key(parts.path)):\\n key = bucket.new_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"created {0}\\\".format(s3_url)\\n self.logger.info(msg)\\n else:\\n key = bucket.get_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"re-uploaded {}\\\".format(s3_url)\\n self.logger.info(msg)\",\n \"def pushToS3()-> None:\\n logging.info(f\\\"Connecting to s3 {getTime()}\\\")\\n s3 = boto3.client(\\\"s3\\\",endpoint_url=\\\"http://localhost:4566\\\")\\n if(not s3.head_bucket(Bucket=\\\"demo\\\")):\\n s3.create_bucket(Bucket='demo')\\n try:\\n logging.info(f\\\"Uploading to s3 {getTime()}\\\")\\n s3.upload_file(\\\"result.csv\\\",\\\"demo\\\",\\\"result.csv\\\")\\n logging.info(f\\\"Finished uploding to s3 {getTime()}\\\")\\n except ClientError as e:\\n logging.error(f\\\"Error uploading file to S3 {getTime()}\\\")\",\n \"def save_to_s3(bucket, key, body):\\n client = boto3.client('s3')\\n s3_log = client.put_object(Body=body, Bucket=bucket, Key=key)\\n \\n if debug:\\n print('s3_log:', s3_log)\",\n \"def save_file_aws(obj, file_path, aws_credentials):\\n bucket_engine = S3Bucket(*aws_credentials)\\n data = gzip.compress(json.dumps(obj).encode('utf-8'))\\n bucket_engine.write(file_path, data)\",\n \"def write_s3_file(data, date):\\n logger.info(\\\"Writing history file to S3.\\\")\\n bucket = os.getenv(\\\"SPOTIFY_BUCKET_NAME\\\")\\n path = os.getenv(\\\"SPOTIFY_BUCKET_PATH\\\")\\n s3 = boto3.client('s3')\\n data = json.dumps(data)\\n s3.put_object(Bucket=bucket, Key=\\\"%s/%s.json\\\" % (path, date), Body=data)\",\n \"def __save(self, df):\\n try:\\n with io.StringIO() as csv_buffer:\\n df.sort_values(\\n by=[\\\"congress\\\", \\\"session\\\", \\\"vote\\\"], inplace=True\\n )\\n df.to_csv(csv_buffer, index=False)\\n response = self.s3_client.put_object(\\n Bucket=self.AWS_BUCKET_NAME,\\n Key=self.OBJ_FILENAME,\\n Body=csv_buffer.getvalue(),\\n )\\n\\n status = response.get(\\\"ResponseMetadata\\\", {}).get(\\n \\\"HTTPStatusCode\\\"\\n )\\n\\n if status != 200:\\n raise Exception(\\n f\\\"Unable to save file {self.AWS_BUCKET_NAME}/{self.OBJ_FILENAME}\\\"\\n )\\n return status\\n except Exception as e:\\n logging.error(\\\"Cloud Storage not configured for writing data… \\\")\\n logging.error(e)\\n # NOTE: Use this to fall back to local storage\\n # df.to_csv(self.OBJ_FILENAME, index=False)\",\n \"def save(self, path):\\n if isinstance(path, str) and path.startswith(\\\"s3://\\\"):\\n raise NotImplementedError(\\\"TODO: Implement saving to s3\\\")\\n path = Path(path).resolve()\\n \\n # Make a folder to save things into\\n if path.suffix == \\\".zip\\\":\\n folder = path.parent / f\\\"tmp_{path.stem}\\\"\\n else:\\n folder = path\\n folder.mkdir(parents=True, exist_ok=False)\\n \\n # Save the trace - ugly hack needed due to multiindex not being supported yet\\n ifd = self.ifd_.copy()\\n ifd.constant_data = ifd.constant_data.reset_index('idx')\\n ifd.observed_data = ifd.observed_data.reset_index('idx')\\n ifd.prior_predictive = ifd.prior_predictive.reset_index('idx')\\n ifd.posterior_predictive = ifd.posterior_predictive.reset_index('idx')\\n ifd.log_likelihood = ifd.log_likelihood.reset_index('idx')\\n az.to_netcdf(ifd, folder / \\\"ifd.nc\\\")\\n \\n # Save other data\\n self.C_mean_.rename(\\\"C_mean_\\\").to_csv(folder / \\\"C_mean_.csv\\\")\\n self.C_std_.rename(\\\"C_std_\\\").to_csv(folder / \\\"C_std_.csv\\\")\\n \\n if path.suffix == \\\".zip\\\":\\n # Save to zip\\n zf = ZipFile(path, mode='w')\\n for file in folder.glob(\\\"*\\\"):\\n zf.write(folder / file.name, arcname=file.name)\\n zf.close()\\n shutil.rmtree(folder)\",\n \"def copy_to_s3(self):\\n self.logger.logMsg(\\\"Copying Files to S3\\\")\\n str_time = datetime.datetime.today().strftime('%Y%m%d')\\n out_file = \\\"{}/{}.csv\\\".format(self.outpath, str_time)\\n\\n try:\\n session = boto3.Session(profile_name='default')\\n s3_resource = session.resource('s3')\\n BUCKET = 'dv-adip-sandbox-8337-us-east-1'\\n rem_file = '{}.csv'.format(str_time)\\n s3_resource.meta.client.upload_file(out_file, BUCKET, rem_file)\\n except Exception as e:\\n self.logger.logError('Error Copying Files to S3 {}'.format(str(e)))\\n raise Exception('Error Copying Files to S3')\\n\\n self.logger.logMsg(\\\"Copying Files to S3 Completed\\\")\\n\\n shutil.move(out_file, self.archive)\",\n \"def store(bucket, path_bucket, content, filename=\\\"\\\", file_type=None, user=None):\\n b = boto_init_s3(bucket)\\n if b:\\n k = b.get_key(path_bucket)\\n if not k:\\n k = b.new_key(path_bucket)\\n k.set_contents_from_string(content)\\n if file_type == \\\"profile\\\":\\n try:\\n old_pix = ProfilePicture.objects.get(is_current=True, user_id=user)\\n old_pix.is_current = False\\n old_pix.save()\\n except:\\n pass\\n ProfilePicture.objects.create(name=filename, path=path_bucket, user_id=user, is_current=True)\\n else:\\n if file_type == \\\"channel\\\":\\n k.set_contents_from_string(content)\\n return\",\n \"def create(self):\\n self.contents = {}\\n for jira_path in s3.ls(self.s3_basepath):\\n jira_issue = format_jira(jira_path.split('/')[-2])\\n if self.verbose:\\n print(f'Creating JIRA issue {jira_issue}...')\\n self.contents[jira_issue] = {}\\n self._update(s3.ls(jira_path), jira_issue)\\n self._save()\",\n \"def store_harvest(self, file_prefix, data):\\n compressed = bz2.compress(data)\\n k = f\\\"{self.harvest_key_prefix}/{self.harvest_date}/{file_prefix}.bz2\\\"\\n self.s3_client.put_object(\\n Body=compressed,\\n Bucket=self.s3_bucket,\\n Key=k,\\n )\",\n \"def s3(ctx, bucket_name, data_file, region):\\n ctx.obj['BUCKET_NAME'] = bucket_name\\n ctx.obj['DATA_FILE'] = data_file\\n ctx.obj['TYPE'] = 's3'\\n ctx.obj['REGION'] = region\",\n \"def store_result(dataframe, filepath):\\n if not filepath.startswith('gs://'):\\n logging.info(\\\"Storing result locally in: {}\\\".format(filepath))\\n dataframe.to_csv(filepath, index=True)\\n else:\\n logging.info(\\\"Storing result in cloud storage in path: {}\\\".format(filepath))\\n # Content to write\\n content = dataframe.to_csv(index=True)\\n # Client to write with\\n cs = storage.Client(project_id)\\n bucket_name, blob_path = filepath[5:].split('/', 1)\\n bucket = cs.bucket(bucket_name)\\n blob = bucket.blob(blob_path)\\n blob.upload_from_string(content)\",\n \"def _upload_s3(self, filename, bucket, objectKey):\\n return s3_client.upload_file(filename, bucket, objectKey)\",\n \"def store(self, filename):\",\n \"def push_file_to_s3(logger, app_config, s3_object_info, start_timing):\\n import boto3\\n s3_resource = boto3.resource('s3')\\n logging.getLogger('boto3').addHandler(logger)\\n s3_object = get_config_item(app_config, 's3_info.object_base') + \\\\\\n '/' + s3_object_info['camera_name'] + '/' + \\\\\\n s3_object_info['date_string'] + '/' + \\\\\\n s3_object_info['hour_string'] + '/' + \\\\\\n s3_object_info['img_type'] + '/' + \\\\\\n s3_object_info['just_file']\\n\\n utc_ts = int(time.time() * 1000)\\n\\n object_metadata = {'camera': s3_object_info['camera_name'],\\n 'camera_timestamp': str(utc_ts)}\\n s3_resource.Object(get_config_item(app_config, 's3_info.bucket_name'),\\n s3_object).put(Body=open(s3_object_info['file_name'], 'rb'),\\n Metadata=object_metadata)\\n totaltime = time.time() - start_timing\\n logger.info(\\\"S3 Object: {} written to s3 in {} seconds.\\\".format(s3_object, totaltime))\\n return utc_ts\",\n \"def setup_bucket_w_contents(mock_s3_client, test_bucket, test_df_key, test_df):\\n s3 = boto3.client('s3')\\n s3.create_bucket(Bucket=test_bucket)\\n\\n with NamedTemporaryFile() as tmpfile:\\n test_df.to_csv(tmpfile.name, index=False, header=False)\\n s3.upload_file(tmpfile.name, test_bucket, test_df_key)\\n\\n yield\",\n \"def store_keypair ( s3_infra_conn, region_name, aws_account_type, keypair_name, keypair_filename ) :\\n keypair_bucket = get_admin_bucket_name( region_name = region_name )\\n store_s3_contents( s3_conn = s3_infra_conn,\\n bucket_name = keypair_bucket,\\n key_name = get_keypair_keypath( aws_account_type ) + get_keypair_keyname( keypair_name ),\\n key_contents_filename = keypair_filename )\",\n \"def publish(self):\\n #vprint(\\\"PUBLISHING \\\",self.__dict__)\\n \\n js = self.compute_json()\\n name = self.name\\n #topicdir = \\\"/topicd/\\\" if constants.publishToS3Dev else \\\"/topic/\\\"\\n s3path = constants.compositeDir+\\\"/\\\"+name+\\\"/main.json\\\" #the path where the page will finally end up\\n s3.s3SetContents(s3path,contents=js,relativeTo=\\\"\\\",contentType=\\\"application/json\\\")\\n self.genPage()\",\n \"def writeFileToS3(self, keyname, path, mimetype=None, acl=\\\"public-read\\\"):\\n try:\\n k = Key(self.BUCKET)\\n k.key = keyname\\n k.set_metadata('Content-Type', mimetype or self.getMime(keyname))\\n k.set_contents_from_filename(path)\\n k.set_acl(acl)\\n return True\\n except IOError, e:\\n print 'Could not write file to S3:', e\\n return False\",\n \"def writeToS3(dataFrame, s3_key, s3_secret, s3_bucket):\\n opt = {\\n 'key' : s3_key,\\n 'secret' : s3_secret\\n }\\n dataFrame.to_csv('s3://{}/csv/total_events.csv'.format(s3_bucket), storage_options=opt, index=False)\",\n \"def upload_dataframe_to_s3(df, bucket_name, output_filename):\\n temporary_filepath = tempfile.mkstemp()[1]\\n df.to_csv(temporary_filepath, sep=\\\",\\\", index=False)\\n upload_file_to_s3(\\n bucket_name=bucket_name,\\n input_filepath=temporary_filepath,\\n output_filename=output_filename,\\n )\",\n \"def lambda_handler(*_):\\n Log.info(\\\"Checking bucket %s\\\", S3_BUCKET)\\n Log.info(\\\"Output Key: %s\\\", S3_OUTPUT_KEY)\\n bucket_location, objects = s3index.get_objects(S3_BUCKET)\\n filtered = s3index.filter_objects(objects)\\n by_date = s3index.order_objects(filtered)\\n template = s3index.template_from_string(TEMPLATE)\\n index = s3index.build_index(\\n template, SITE_NAME, by_date, S3_BUCKET, bucket_location)\\n s3_client = boto3.client(\\\"s3\\\")\\n s3_client.put_object(\\n ACL=\\\"public-read\\\",\\n Body=index.encode(),\\n Bucket=S3_BUCKET,\\n Key=S3_OUTPUT_KEY,\\n ContentType=\\\"text/html\\\"\\n )\",\n \"def _upload_to_s3(filename):\\n if not app.config.get('UPLOAD_SCREENSHOTS_TO_S3', False):\\n return\\n\\n import boto\\n from boto.s3.key import Key\\n conn = boto.connect_s3()\\n b = conn.get_bucket(app.config['S3_BUCKET'])\\n k = Key(b)\\n k.key = '{}/{}'.format(\\n app.config.get('S3_FILES_PREFIX', 'sleepypuppy'),\\n filename\\n )\\n k.set_contents_from_filename(\\n \\\"{}/{}\\\".format(\\n app.config['UPLOAD_FOLDER'],\\n filename\\n )\\n )\\n os.remove(\\n \\\"{}/{}\\\".format(\\n app.config['UPLOAD_FOLDER'],\\n filename\\n )\\n )\",\n \"def put(self, filename, data, **kw):\\n\\n file_path = os.path.join(self.storage_path, filename)\\n file_obj = open(file_path, \\\"w\\\")\\n file_obj.write(data)\",\n \"def put_data_in_s3(data, filename):\\n s3_client.put_object(Body=data, Bucket=CLIMATE_DATA_BUCKET, Key=filename)\",\n \"def save_to_s3(self, bucket):\\r\\n n = 0\\r\\n m = self.read()\\r\\n while m:\\r\\n n += 1\\r\\n key = bucket.new_key('%s/%s' % (self.id, m.id))\\r\\n key.set_contents_from_string(m.get_body())\\r\\n self.delete_message(m)\\r\\n m = self.read()\\r\\n return n\",\n \"def store(self, course_id, filename, buff):\\r\\n key = self.key_for(course_id, filename)\\r\\n\\r\\n data = buff.getvalue()\\r\\n key.size = len(data)\\r\\n key.content_encoding = \\\"gzip\\\"\\r\\n key.content_type = \\\"text/csv\\\"\\r\\n\\r\\n # Just setting the content encoding and type above should work\\r\\n # according to the docs, but when experimenting, this was necessary for\\r\\n # it to actually take.\\r\\n key.set_contents_from_string(\\r\\n data,\\r\\n headers={\\r\\n \\\"Content-Encoding\\\": \\\"gzip\\\",\\r\\n \\\"Content-Length\\\": len(data),\\r\\n \\\"Content-Type\\\": \\\"text/csv\\\",\\r\\n }\\r\\n )\",\n \"def save(self):\\n # Ensure store path exists\\n store_path = self.manager.store_path\\n if not os.path.exists(store_path):\\n os.makedirs(store_path)\\n \\n # Get filepath\\n filename = self._filename\\n \\n # Write into file\\n raw = self.to_json()\\n self.service.log.store('Saving %s' % filename)\\n f = open(filename, 'w')\\n f.write(raw)\\n f.close()\",\n \"def run(self):\\n data = query_orm(self.orm)\\n # To avoid confusion downstream: don't write out data if there isn't any\\n if not data:\\n return\\n for table_key, version_key in self.make_s3_keys():\\n save_to_s3(table_key, version_key, data)\",\n \"def save_image_to_s3(filename, file):\\n \\n s3_path = f\\\"s3://shopifyimagerepository/{filename}\\\"\\n \\n s3_client.put_object(Body=file,\\n Bucket=\\\"shopifyimagerepository\\\",\\n Key=filename,\\n ACL=\\\"public-read\\\")\",\n \"def publish_artifacts(self): # pylint: disable=too-many-locals\\n try:\\n b3resource = boto3.resource(\\n 's3', endpoint_url=os.environ[\\\"S3_ENDPOINT_URL\\\"])\\n dst_s3_url = os.environ[\\\"S3_DST_URL\\\"]\\n multipart_threshold = 5 * 1024 ** 5 if \\\"google\\\" in os.environ[\\n \\\"S3_ENDPOINT_URL\\\"] else 8 * 1024 * 1024\\n config = TransferConfig(multipart_threshold=multipart_threshold)\\n bucket_name = urlparse(dst_s3_url).netloc\\n try:\\n b3resource.meta.client.head_bucket(Bucket=bucket_name)\\n except botocore.exceptions.ClientError as exc:\\n error_code = exc.response['Error']['Code']\\n if error_code == '404':\\n # pylint: disable=no-member\\n b3resource.create_bucket(Bucket=bucket_name)\\n else:\\n raise exc\\n except Exception as exc: # pylint: disable=broad-except\\n raise exc\\n path = urlparse(dst_s3_url).path.strip(\\\"/\\\")\\n dst_http_url = os.environ[\\\"HTTP_DST_URL\\\"]\\n output_str = \\\"\\\\n\\\"\\n # protects if test cases return details as None\\n self.details = self.details or {}\\n self.details[\\\"links\\\"] = []\\n for log_file in [self.output_log_name, self.output_debug_log_name]:\\n if os.path.exists(os.path.join(self.dir_results, log_file)):\\n abs_file = os.path.join(self.dir_results, log_file)\\n mime_type = mimetypes.guess_type(abs_file)\\n self.__logger.debug(\\n \\\"Publishing %s %s\\\", abs_file, mime_type)\\n # pylint: disable=no-member\\n b3resource.Bucket(bucket_name).upload_file(\\n abs_file, os.path.join(path, log_file), Config=config,\\n ExtraArgs={'ContentType': mime_type[\\n 0] or 'application/octet-stream'})\\n link = os.path.join(dst_http_url, log_file)\\n output_str += f\\\"\\\\n{link}\\\"\\n self.details[\\\"links\\\"].append(link)\\n for root, _, files in os.walk(self.res_dir):\\n for pub_file in files:\\n abs_file = os.path.join(root, pub_file)\\n mime_type = mimetypes.guess_type(abs_file)\\n self.__logger.debug(\\n \\\"Publishing %s %s\\\", abs_file, mime_type)\\n # pylint: disable=no-member\\n b3resource.Bucket(bucket_name).upload_file(\\n abs_file,\\n os.path.join(path, os.path.relpath(\\n os.path.join(root, pub_file),\\n start=self.dir_results)),\\n Config=config,\\n ExtraArgs={'ContentType': mime_type[\\n 0] or 'application/octet-stream'})\\n link = os.path.join(dst_http_url, os.path.relpath(\\n os.path.join(root, pub_file),\\n start=self.dir_results))\\n output_str += f\\\"\\\\n{link}\\\"\\n self.details[\\\"links\\\"].append(link)\\n self.__logger.info(\\n \\\"All artifacts were successfully published: %s\\\\n\\\", output_str)\\n return TestCase.EX_OK\\n except KeyError as ex:\\n self.__logger.error(\\\"Please check env var: %s\\\", str(ex))\\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR\\n except botocore.exceptions.NoCredentialsError:\\n self.__logger.error(\\n \\\"Please fill ~/.aws/credentials, ~/.boto or set \\\"\\n \\\"AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY in env\\\")\\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR\\n except Exception: # pylint: disable=broad-except\\n self.__logger.exception(\\\"Cannot publish the artifacts\\\")\\n return TestCase.EX_PUBLISH_ARTIFACTS_ERROR\",\n \"def store_blob(self, data, download_meta, blob_id=None):\\n if blob_id is None:\\n blob_id = str(uuid.uuid4())\\n\\n content_type = download_meta.get('type', 'binary/octet-stream')\\n put_kwargs = dict(\\n Bucket=self.bucket,\\n Key=blob_id,\\n Body=data,\\n ContentType=content_type\\n )\\n if self.kms_key_id:\\n put_kwargs.update({\\n 'ServerSideEncryption': 'aws:kms',\\n 'SSEKMSKeyId': self.kms_key_id\\n })\\n self.s3.put_object(**put_kwargs)\\n download_meta['bucket'] = self.bucket\\n download_meta['key'] = blob_id\\n download_meta['blob_id'] = str(blob_id)\",\n \"def upload_file_to_s3(self, file_data):\\r\\n\\r\\n file_key = file_data.name + datetime.now(UTC).strftime(\\r\\n xqueue_interface.dateformat\\r\\n )\\r\\n\\r\\n file_data.seek(0)\\r\\n s3_public_url = upload_to_s3(\\r\\n file_data, file_key, self.s3_interface\\r\\n )\\r\\n\\r\\n return s3_public_url\",\n \"def store_provider_data(self, region: str, data):\\n return s3client.upload_file_from_variable(data, self.provider_name() + \\\"/\\\" + region + \\\"/\\\" +\\n datetime.datetime.utcnow().isoformat() + \\\".json\\\")\",\n \"def save_config(config):\\n\\n LOGGER.info(f\\\"Writing config to bucket {BUCKET} with key {CONFIG_S3_KEY}.\\\") \\n save_json(BUCKET, CONFIG_S3_KEY, config)\",\n \"def put_object(self, account, container, object, content):#put a file to server\\n \\n pass\",\n \"def publish():\\n reset()\\n compress()\\n build()\\n s3deploy()\\n log_success()\",\n \"def write_to_S3(data_bucket, data_key, model_version, bucket_name):\\n df = get_S3_df(data_bucket, data_key)\\n X = df.drop(columns='target')\\n y = df['target']\\n fitted_model = fit(RF, X, y)\\n\\n key = f'model_{model_version}.joblib'\\n\\n with tempfile.TemporaryFile() as file:\\n joblib.dump(fitted_model, file)\\n file.seek(0)\\n\\n s3_resource = boto3.resource('s3')\\n s3_resource.Object(bucket_name, key).put(Body=file.read())\",\n \"def upload(iid, file_obj, content_type):\\n if AWS_CLIENT_CONFIG and BUCKET_NAME:\\n try:\\n s3 = boto3.resource('s3', **AWS_CLIENT_CONFIG)\\n s3.Bucket(BUCKET_NAME).put_object(Key=iid,\\n Body=file_obj,\\n ContentType=content_type)\\n return StorageType.S3\\n except botocore.exceptions.ClientError as e:\\n logger.error(e)\\n else:\\n # store locally in temp dir (tests, local development)\\n store_temp_file(iid, file_obj)\\n return StorageType.TMP\\n return None\",\n \"def upload_object(self, file_path, s3_path):\\n logging.info(\\\"Uploading file to \\\\\\\"{}\\\\\\\" to S3\\\".format(s3_path))\\n bucket_name, key = S3Util.get_bucket_and_key(s3_path)\\n self.s3_resource.Bucket(bucket_name).upload_file(file_path, key)\",\n \"def _put(conn, remote_file, contents, bucket_name=BUCKET_NAME, headers=None):\\n error_msg = 'Failed to upload to %s' % remote_file\\n try:\\n reply = conn.put(bucket_name, remote_file,\\n S3.S3Object(contents), headers)\\n if reply.http_response.status != 200:\\n print error_msg\\n except:\\n print error_msg\",\n \"def save_to_gcs(df, file, bucket=settings.ASSETS.BUCKET):\\n output_file = NamedTemporaryFile().name\\n df.to_csv(output_file, compression=\\\"gzip\\\", index=False)\\n upload_blob(bucket, output_file, file)\",\n \"def put_object(self, key, data):\\n self.s3client.put_object(Bucket=self.s3_bucket, Key=key, Body=data)\",\n \"def output(self):\\n for table_key, version_key in self.make_s3_keys():\\n return S3Target(f\\\"s3://{BUCKET}/{table_key}\\\")\",\n \"def _write_manifest_to_s3(self, manifest_file):\\n account = self.boto_session.client(\\\"sts\\\").get_caller_identity()[\\\"Account\\\"]\\n s3_client = self.boto_session.client(\\\"s3\\\")\\n region = self.boto_session.region_name\\n\\n # write to s3 bucket\\n manifest_bucket_name = \\\"sagemaker-{}-{}\\\".format(region, account)\\n timstamp = str(int(time.time()))\\n manifest_s3_file_key = f\\\"{self.experiment_id}/manifest_files/manifest-{timstamp}\\\"\\n body = b\\\"\\\"\\n body += str(json.dumps(manifest_file, sort_keys=True, indent=4)).encode(\\\"utf_8\\\")\\n try:\\n s3_client.put_object(Body=body, Bucket=manifest_bucket_name, Key=manifest_s3_file_key)\\n\\n except ClientError as e:\\n error_code = e.response[\\\"Error\\\"][\\\"Code\\\"]\\n message = e.response[\\\"Error\\\"][\\\"Message\\\"]\\n raise RuntimeError(\\n \\\"Failed to upload manifest data with error {}: {}\\\".format(error_code, message)\\n )\\n\\n manifest_file_path = f\\\"s3://{manifest_bucket_name}/{manifest_s3_file_key}\\\"\\n logger.info(f\\\"Successfully upload manifest file to s3 bucket path `{manifest_file_path}'\\\")\\n return manifest_file_path\",\n \"def write_to_s3(file_path: str, data: str, content_type: str = \\\"application/json\\\") -> int:\\n s3_save_path = urljoin(settings.s3_bucket_path, file_path)\\n\\n write_count = 0\\n upload_args = get_upload_args(content_type)\\n\\n with open(\\n s3_save_path,\\n \\\"w\\\",\\n transport_params=dict(multipart_upload_kwargs=upload_args),\\n ) as fh:\\n write_count = fh.write(data)\\n\\n logger.info(\\\"Wrote {} to {}\\\".format(len(data), s3_save_path))\\n\\n return write_count\",\n \"def save_text(bucket, key, data):\\n\\n s3 = boto3.resource(\\\"s3\\\")\\n s3.Bucket(bucket).put_object(Key=key, Body=data, ACL='public-read', ContentType='text/plain')\",\n \"def upload_data_to_s3(data: dict, bucket_name: str, object_key: str) -> None:\\n uploader = S3Uploader(bucket_name)\\n with tempfile.NamedTemporaryFile(mode=\\\"w+\\\") as local_file:\\n json.dump(data, local_file, cls=FancyJsonEncoder, indent=\\\" \\\", sort_keys=True)\\n local_file.write(\\\"\\\\n\\\")\\n local_file.flush()\\n uploader(local_file.name, object_key)\",\n \"def save_to_s3(bucket, path, data, compress=False):\\n bucket = get_bucket(bucket)\\n\\n key = Key(bucket)\\n key.key = path\\n logger.debug(\\\"Uploading to %s\\\", key.key)\\n\\n if compress:\\n mock_file = BytesIO()\\n gzip_obj = gzip.GzipFile(filename='gzipped_file', mode='wb', fileobj=mock_file)\\n if isinstance(data, str):\\n data = data.encode('utf-8')\\n gzip_obj.write(data)\\n gzip_obj.close()\\n data = mock_file.getvalue()\\n\\n key.set_contents_from_string(data)\",\n \"def save_to_store(content, name, mime_type, location):\\r\\n content_location = Transcript.asset_location(location, name)\\r\\n content = StaticContent(content_location, name, mime_type, content)\\r\\n contentstore().save(content)\\r\\n return content_location\",\n \"def save_h5_file(self, result_dict, loc_id):\\n if self.storage_type == 's3':\\n file_path = '{0}/{1}_combined.h5'.format(\\n self.output_path,\\n loc_id\\n )\\n hf_result = h5py.File(file_path, 'w')\\n for k, v in result_dict.items():\\n hf_result.create_dataset(k, data=v)\\n hf_result.close()\\n else:\\n file_path = os.path.join(self.output_path, '{0}_combined.h5'.format(loc_id))\\n hf_result = h5py.File(file_path, 'w')\\n for k, v in result_dict.items():\\n hf_result.create_dataset(k, data=v)\\n hf_result.close()\\n return file_path\",\n \"def test_amazon_s3_store_data(self):\\n config = Config()\\n metadata_bucket = config.config.get(\\\"metadata\\\", \\\"bucket\\\")\\n data_bucket = config.config.get(\\\"data\\\", \\\"bucket\\\")\\n metadata_provider = amazon.S3(config, metadata_bucket).connect()\\n provider = amazon.S3(config, data_bucket).connect()\\n\\n datas = dict()\\n metadatas = dict()\\n\\n for data, metadata in ((\\\"Data 1\\\", \\\"Metadata 1\\\"),\\n (\\\"Data 2\\\", \\\"Metadata 2\\\")):\\n key = checksum_data(data)\\n metadata_provider.store(key, metadata)\\n provider.store(key, data)\\n new_metadata = metadata_provider.retrieve(key)\\n new_data = provider.retrieve(key)\\n self.assertEqual(new_data, data)\\n self.assertEqual(new_metadata, metadata)\\n datas[key] = data\\n metadatas[key] = metadata\\n for key, metadata in metadata_provider.list().items():\\n self.assertEqual(metadata, metadatas[key])\\n for key, data in provider.list().items():\\n self.assertEqual(data, datas[key])\\n for key, metadata in metadatas.items():\\n metadata_provider.delete(key)\\n for key, data in datas.items():\\n provider.delete(key)\\n metadata_provider.disconnect()\\n provider.disconnect()\",\n \"def upload(self, path, data, headers={}):\\n\\n client = AsyncHTTPClient()\\n method = 'PUT'\\n url = self.generate_url(path)\\n url_object = urlparse(url)\\n params = {\\n 'SignatureMethod': 'AWS4-HMAC-SHA256'\\n }\\n\\n headers.update({\\n 'Content-Length': str(len(data)),\\n 'Content-Type': self._guess_mimetype(path),\\n 'Date': self._rfc822_datetime(),\\n 'Host': url_object.hostname,\\n 'X-Amz-Content-sha256': hashlib.sha256(data).hexdigest(),\\n })\\n\\n try:\\n response = yield client.fetch(\\n self.sign_request(\\n url_object.hostname,\\n url_object.path,\\n params,\\n headers,\\n method,\\n data\\n ),\\n method=method,\\n body=data,\\n connect_timeout=AWS_S3_CONNECT_TIMEOUT,\\n request_timeout=AWS_S3_REQUEST_TIMEOUT,\\n headers=headers\\n )\\n except HTTPError as error:\\n log.error(error)\\n if error.response:\\n log.error(error.response.body)\\n raise Return(None)\\n\\n raise Return(response)\",\n \"def _save_content(self, obj, content, parameters):\\n # Seek our content back to the start\\n content.seek(0, os.SEEK_SET)\\n\\n # Create a temporary file that will write to disk after a specified size\\n content_autoclose = SpooledTemporaryFile()\\n\\n # Write our original content into our copy that will be closed by boto3\\n content_autoclose.write(content.read())\\n\\n # Upload the object which will auto close the content_autoclose instance\\n super(PrivateMediaStorage, self)._save_content(obj, content_autoclose, parameters)\\n \\n # Cleanup if this is fixed upstream our duplicate should always close \\n if not content_autoclose.closed:\\n content_autoclose.close()\",\n \"def store(self, results):\\n filename = self.get_archive_file_path(results)\\n results.dump(filename)\",\n \"def upload_to_s3(file_path, config):\\n logging.info(\\\"Uploading file to S3 bucket: %s\\\", config['s3_bucket_name'])\\n s3 = boto3.resource('s3')\\n s3_filename = config['s3_bucket_path'] + config['rendered_filename']\\n s3.Bucket(config['s3_bucket_name']).upload_file(\\n file_path, s3_filename, ExtraArgs={\\n 'ContentType': 'text/html', 'ACL': 'public-read'})\",\n \"def _upload(self, errors):\\n if self.backup_bucket is None:\\n return\\n\\n try:\\n with open(\\\"%s/%s.tar.gz\\\"%(self.backup_path, self.name), 'r+') as f:\\n s3upload.upload_to_s3(f,\\n self.backup_bucket,\\n \\\"%s/%s.tar.gz\\\"%(self.backup_id, self.name))\\n\\n # Cleaning up resources, since the upload was successful\\n run(\\\"rm -f %s/%s.tar.gz\\\"%(self.backup_path, self.name))\\n except Exception as e:\\n logging.exception(e)\\n errors.put(Exception(\\\"Error uploading %s server backup to S3\\\" % self.name))\\n traceback.print_exc()\",\n \"def put(self, path: str, filename: str) -> None:\\n\\n payload_hash, content_md5, length = _hash(path)\\n\\n now = datetime.datetime.utcnow()\\n timestamp = now.strftime('%Y%m%dT%H%M%SZ')\\n headers = [\\n ('Connection', 'keep-alive'),\\n ('Content-Length', str(length)),\\n ('Content-MD5', content_md5),\\n ('Content-Type', 'application/zip'),\\n ('Date', now.strftime('%a, %d %b %Y %H:%M:%S GMT')),\\n ('Host', '%s.s3.amazonaws.com' % self.bucket),\\n ('x-amz-content-sha256', payload_hash),\\n ('x-amz-date', timestamp),\\n ]\\n signed_headers = ';'.join(header[0].lower() for header in headers)\\n canonical_request = 'PUT\\\\n%s\\\\n\\\\n%s\\\\n\\\\n%s\\\\n%s' % (filename, '\\\\n'.join(\\n ('%s:%s' % (header[0].lower(), header[1])\\n for header in headers)), signed_headers, payload_hash)\\n logging.debug('canonical request %r',\\n canonical_request.encode('utf-8'))\\n string_to_sign = 'AWS4-HMAC-SHA256\\\\n%s\\\\n%s\\\\n%s' % (\\n timestamp, self.scope,\\n hashlib.sha256(canonical_request.encode('utf-8')).hexdigest())\\n logging.debug('string to sign %r', string_to_sign.encode('utf-8'))\\n\\n signature = hmac.new(self.signing_key,\\n string_to_sign.encode('utf-8'),\\n digestmod='sha256').hexdigest()\\n headers.append((\\n 'Authorization',\\n 'AWS4-HMAC-SHA256 Credential=%s/%s,SignedHeaders=%s,Signature=%s' %\\n (self.aws_access_key, self.scope, signed_headers, signature)))\\n with open(path, 'rb') as file_stream:\\n if not self.conn:\\n self.conn = http.client.HTTPSConnection('%s.s3.amazonaws.com' %\\n self.bucket)\\n try:\\n self.conn.request('PUT',\\n filename,\\n file_stream,\\n headers=dict(headers))\\n res = self.conn.getresponse()\\n payload = res.read()\\n except (http.client.BadStatusLine, http.client.ResponseNotReady,\\n http.client.CannotSendRequest):\\n self.conn.close()\\n raise\\n if res.status != 200:\\n raise Exception(payload.decode('utf-8'))\",\n \"def store(self, file_path):\\n url = self.base_url + \\\"/solution-service/cloud-solution/storage\\\"\\n headers = {\\\"ApiKey\\\": self.api_key}\\n files = {'file': open(str(file_path), 'rb')}\\n response = requests.post(url=url, headers=headers, files=files, verify=False)\\n response = response.json()\\n return response\",\n \"def upload(filename, bucket):\\n print(\\\"Uploading {} to S3\\\".format(filename.lower().replace('_', '-')))\\n url = \\\"https://s3.ca-central-1.amazonaws.com/{}/{}\\\".format(bucket,\\n filename.lower().replace('_', '-'))\\n with open('{}/{}'.format(WORK_DIR, filename), 'rb') as data:\\n requests.put(url, data=data)\",\n \"def upload(jsonfiles):\\n # clear S3 Bucket\\n bucket = S3Bucket()\\n bucket.clear()\\n for jsonfile in jsonfiles:\\n filename = os.path.basename(jsonfile)\\n key = build_key(filename)\\n logging.info(\\\"%s %s\\\", filename, key)\\n # store json in S3 object\\n bucket.store(key, jsonfile)\",\n \"def save(self):\\r\\n if self._storage:\\r\\n self._storage.store(self, *self._storage_args)\\r\\n else:\\r\\n raise StorageNotSetError()\",\n \"def post(self, request, format=None):\\n filename = int(time.time())\\n s3c = boto3.client('s3',\\n aws_access_key_id=settings.AWS_ACCESS_KEY_ID,\\n aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY)\\n handle_txt = StringIO(request.data.get('keywords', ''))\\n txt_file = s3c.put_object(Bucket=settings.AWS_STORAGE_BUCKET_NAME,\\n Key='txt/{0}.txt'.format(filename), Body=handle_txt.read())\\n result = {\\n 'file': '{0}txt/{1}.txt'.format(settings.AWS_S3_ROOT, filename)\\n }\\n return Response(result)\",\n \"def save_content(obj):\\n filename, _, _, content = obj\\n storage = get_storage(config['Instance']['content_dir'])\\n return storage.save(filename, ContentFile(content))\",\n \"def upload_from_path_to_s3(file_path):\\n bucket_name = \\\"alp-reports-lambda\\\"\\n environment = \\\"dev\\\" if os.environ.get('LOCAL') else \\\"prod\\\"\\n object_key = f\\\"{environment}/835/{file_path.split('/')[-1]}\\\"\\n\\n s3 = boto3.resource('s3')\\n s3.Object(bucket_name, object_key).upload_file(file_path, ExtraArgs={'ACL': 'public-read'})\\n\\n return f\\\"https://s3.amazonaws.com/{bucket_name}/{object_key}\\\"\",\n \"def collect_s3(self):\\n print('Collecting artifacts matching %s from S3 bucket %s' % (self.match, s3_bucket))\\n self.s3 = boto3.resource('s3')\\n self.s3_bucket = self.s3.Bucket(s3_bucket)\\n self.s3_client = boto3.client('s3')\\n for item in self.s3_client.list_objects(Bucket=s3_bucket, Prefix='librdkafka/').get('Contents'):\\n self.collect_single(item.get('Key'))\\n\\n for a in self.artifacts:\\n a.download()\",\n \"def move_data_google_sheets_to_s3():\\n\\n # Set up service account object\\n service_account = gspread.service_account()\\n sheet = service_account.open(\\\"Workout log\\\")\\n worksheet = sheet.get_worksheet(0)\\n # Pull down worksheet as dataframe\\n raw_df = get_as_dataframe(worksheet,\\n parse_dates=True,\\n usecols=[0, 1, 2],\\n skiprows=None)\\n _df = raw_df[pd.notnull(raw_df['Date'])]\\n\\n # Write dataframe to s3\\n file_name = \\\"daily_run_log.csv\\\"\\n csv_buffer = StringIO()\\n _df.to_csv(csv_buffer)\\n s3_resource = boto3.resource('s3')\\n s3_resource.Object(BUCKET, file_name).put(Body=csv_buffer.getvalue())\",\n \"def upload(self, *route, **req_data):\\n # Read the FieldStorage.\\n file_desc = req_data['file']\\n file_mimetype = req_data['mimetype']\\n if not isinstance(file_desc, FieldStorage):\\n # Python is dangerous when the type is incorrectly assumed.\\n return Response(b'invalid request body', status='400 Bad Request')\\n\\n # Persist the file.\\n data_id = get_bucket().put(file_desc.value)\\n to_store = StoredFile(\\n id=uuid4().hex,\\n data_id=data_id,\\n mimetype=file_mimetype,\\n content_length=len(file_desc.value),\\n original_name=file_desc.filename\\n )\\n StoredFile.collection().put(to_store)\\n\\n log_activity('%s uploaded file %s'%(\\n context.user.link, to_store.access_link\\n ))\\n\\n # Respond.\\n return Response(\\n bytes(to_store.access_url, 'utf-8'),\\n status='201 Created'\\n )\",\n \"def upload_to_s3(file_from_machine, bucket, file_to_s3):\\n s3.upload_file(file_from_machine, bucket, file_to_s3)\\n print(file_to_s3, \\\" : is upoaded to s3\\\")\",\n \"def sync_to_s3(pathname, bucket):\\n BUCKET_MANAGER.sync(pathname, bucket)\\n print(BUCKET_MANAGER.get_bucket_url(BUCKET_MANAGER.s3.Bucket(bucket)))\",\n \"def test_amazon_s3_store_filename(self):\\n config = Config()\\n metadata_bucket = config.config.get(\\\"metadata\\\", \\\"bucket\\\")\\n data_bucket = config.config.get(\\\"data\\\", \\\"bucket\\\")\\n metadata_provider = amazon.S3(config, metadata_bucket).connect()\\n provider = amazon.S3(config, data_bucket).connect()\\n key = checksum_file(\\\"LICENSE\\\")\\n metadata_provider.store(key, \\\"LICENSE METADATA\\\")\\n provider.store_from_filename(key, \\\"LICENSE\\\")\\n t = tempfile.NamedTemporaryFile()\\n metadata = metadata_provider.retrieve(key)\\n provider.retrieve_to_filename(key, t.name)\\n self.assertEqual(file(\\\"LICENSE\\\").read(), file(t.name).read())\\n self.assertEqual(\\\"LICENSE METADATA\\\", metadata)\\n metadata_provider.delete(key)\\n provider.delete(key)\\n metadata_provider.disconnect()\\n provider.disconnect()\",\n \"def save(self):\\n\\n toStore = {\\n key: obj.to_dict()\\n for key, obj in FileStorage.__objects.items()\\n }\\n with open(FileStorage.__file_path, 'wt') as file:\\n json.dump(toStore, file)\",\n \"def uploadFilestoS3(self):\\n allfilesuploadedcount = 0\\n for eachfiledic in self.fileTobeUploaded:\\n if eachfiledic[\\\"uploadedSuccess\\\"] == 0: #Means this file never got uploaded.\\n if os.path.getsize(eachfiledic[\\\"filepath\\\"]) < 1000000000: #<1GB\\n s3Log.info (\\\"FileSize < 1GB for :{}, so using single part upload.\\\".format(eachfiledic[\\\"filepath\\\"]) )\\n if self.singlePartUpload(eachfiledic) == True:\\n eachfiledic[\\\"uploadedSuccess\\\"] = 1\\n allfilesuploadedcount = allfilesuploadedcount + 1\\n else:\\n s3Log.info (\\\"FileSize > 1GB for :{}, so using Multi Part upload. \\\\n\\\".format(eachfiledic[\\\"filepath\\\"]) )\\n if self.multiPartUpload(eachfiledic) == True:\\n eachfiledic[\\\"uploadedSuccess\\\"] = 1\\n allfilesuploadedcount = allfilesuploadedcount + 1\\n\\n\\n elif eachfiledic[\\\"uploadedSuccess\\\"] == 1: #Means it got uploaded in the last run.\\n allfilesuploadedcount = allfilesuploadedcount + 1\\n\\n self.saveStateOfThisRun()\\n if len(self.fileTobeUploaded) == allfilesuploadedcount: #Means we uploaded all files in the queue\\n return True\\n else:\\n return False\",\n \"def upload(filename, records):\\n client = storage.Client()\\n bucket = client.bucket(TEST_BUCKET)\\n if records is not None:\\n blob = bucket.blob(filename)\\n blob.upload_from_string(convert_to_csv(records))\\n return bucket\",\n \"def store_file(self, key, local_file):\\n\\t\\t\\n\\t\\ttry:\\n\\t\\t\\tdata = open(local_file, 'r').read()\\n\\t\\t\\tself.s3.put(\\n\\t\\t\\t\\tself.bucket,\\n\\t\\t\\t\\tkey,\\n\\t\\t\\t\\tS3Object(data), {\\n\\t\\t\\t\\t\\t'Content-Type': 'application/x-bzip2',\\n\\t\\t\\t\\t\\t'x-amz-acl': 'private',\\n\\t\\t\\t\\t\\t'Content-Length': len(data)\\n\\t\\t\\t\\t}\\n\\t\\t\\t)\\n\\t\\texcept:\\n\\t\\t\\treturn False\",\n \"def store_cache(base_url, data, path=\\\"logs/\\\"):\\n\\n # Convert URL to filename and write html content into that file\\n url_filename = url_to_filename(base_url)\\n filename = f\\\"{path}CACHE-{url_filename}.html\\\"\\n f = open(filename, \\\"w+\\\")\\n f.write(data)\\n f.close()\",\n \"def write_headers_and_data(self):\\n\\n if self.config.flag_storedata:\\n fpath, fhdr, dirpath = self.get_url_store_paths()\\n # Write data to fpath\\n # Write data ONLY if either last-modified or etag header is found.\\n dhdr = dict(self.headers)\\n lmt, etag = dhdr.get('last-modified'), dhdr.get('etag')\\n \\n try:\\n with utils.ignore(): os.makedirs(dirpath)\\n\\n # Issue http://gitlab.tingtun.no/eiii/eiii_crawler/issues/412\\n # Always save starting URL.\\n # Hint - parent_url is None for starting URL.\\n if ((self.parent_url == None) or (lmt != None) or (etag != None)) and self.content:\\n open(fpath, 'wb').write(zlib.compress(self.content))\\n log.info('Wrote URL content to',fpath,'for URL',self.url)\\n\\n if self.headers:\\n # Add URL to it\\n self.headers['url'] = self.url\\n open(fhdr, 'wb').write(zlib.compress(str(dict(self.headers))))\\n log.info('Wrote URL headers to',fhdr,'for URL',self.url) \\n except Exception, e:\\n # raise\\n log.error(\\\"Error in writing URL data for URL\\\",self.url)\\n log.error(\\\"\\\\t\\\",str(e))\",\n \"def persistToStore(self, items, requestInstance):\\n self._dbConnection = self.mongoConnection()\\n imgStored = 0\\n\\n if (self.mongoConnection() and self.cumulusConnection()):\\n\\n try:\\n contain = self._cumulusConnection.get_bucket(self._containerName)\\n except boto.exception.S3ResponseError as detail:\\n if(detail.reason.strip() == \\\"Not Found\\\"):\\n self._log.warning(\\\"Creating bucket\\\")\\n self._cumulusConnection.create_bucket(self._containerName)\\n contain = self._cumulusConnection.get_bucket(self._containerName)\\n else:\\n self._log.error(\\\"Code and reason \\\" + detail.code + \\\" \\\" + detail.reason)\\n self._log.error(\\\"Error in ImgStorecumulusMongo - queryToStore. full error \\\" + str(sys.exc_info()))\\n except:\\n self._log.error(\\\"Error in ImgStorecumulusMongo - persistToStore. \\\" + str(sys.exc_info()))\\n\\n try:\\n dbLink = self._dbConnection[self._dbName]\\n collection = dbLink[self._datacollection]\\n collectionMeta = dbLink[self._metacollection]\\n\\n k = Key(contain)\\n\\n for item in items:\\n\\n k.key = item._imgId\\n if requestInstance == None:\\n k.set_contents_from_filename(item._imgURI)\\n else:\\n requestInstance.file.seek(0)\\n k.set_contents_from_file(requestInstance.file)\\n\\n tags = item._imgMeta._tag.split(\\\",\\\")\\n tags_list = [x.strip() for x in tags]\\n meta = {\\\"_id\\\": item._imgId,\\n \\\"os\\\" : item._imgMeta._os,\\n \\\"arch\\\" : item._imgMeta._arch,\\n \\\"owner\\\" : item._imgMeta._owner,\\n \\\"description\\\" : item._imgMeta._description,\\n \\\"tag\\\" : tags_list,\\n \\\"vmType\\\" : item._imgMeta._vmType,\\n \\\"imgType\\\" : item._imgMeta._imgType,\\n \\\"permission\\\" : item._imgMeta._permission,\\n \\\"imgStatus\\\" : item._imgMeta._imgStatus,\\n }\\n data = {\\\"_id\\\": item._imgId,\\n \\\"createdDate\\\" : datetime.utcnow(),\\n \\\"lastAccess\\\" : datetime.utcnow(),\\n \\\"accessCount\\\" : 0,\\n \\\"size\\\" : item._size,\\n \\\"extension\\\" : item._extension,\\n }\\n\\n collectionMeta.insert(meta, safe=True)\\n collection.insert(data, safe=True)\\n\\n imgStored += 1\\n\\n except pymongo.errors.AutoReconnect:\\n self._log.warning(\\\"Autoreconnected.\\\")\\n except pymongo.errors.ConnectionFailure:\\n self._log.error(\\\"Connection failure. The file has not been stored. Image details: \\\" + item.__str__() + \\\"\\\\n\\\")\\n except IOError:\\n self._log.error(\\\"Error in ImgStorecumulusMongo - persistenToStore. \\\" + str(sys.exc_info()))\\n self._log.error(\\\"No such file or directory. Image details: \\\" + item.__str__())\\n except TypeError:\\n self._log.error(\\\"TypeError in ImgStorecumulusMongo - persistenToStore \\\" + str(sys.exc_info()))\\n except pymongo.errors.OperationFailure:\\n self._log.error(\\\"Operation Failure in ImgStorecumulusMongo - persistenToStore. \\\" + str(sys.exc_info()))\\n except:\\n self._log.error(\\\"Error in ImgStoreCumulusMongo - persistToStore. \\\" + str(sys.exc_info()))\\n finally:\\n self._dbConnection.disconnect()\\n else:\\n self._log.error(\\\"Could not get access to the database. The file has not been stored\\\")\\n\\n for item in items: \\n cmd = \\\"rm -f \\\" + item._imgURI\\n os.system(cmd)\\n\\n if (imgStored == len(items)):\\n return True\\n else:\\n return False\",\n \"def store(self, key, filepath):\\n if not key or not filepath:\\n return False\\n # check that file actually exists and handle errors\\n if not os.path.isfile(filepath):\\n logging.error(\\\"File '%s' does not exists, skipping\\\", filepath)\\n return False\\n else:\\n obj = self.resource.Object(self.bucketname, key)\\n obj.put(Body=open(filepath, 'rb'))\\n obj.Acl().put(ACL='public-read')\\n return True\",\n \"def test_write_file_to_bucket(\\n self,\\n mcg_obj,\\n awscli_pod,\\n bucket_class_factory,\\n bucket_factory,\\n interface,\\n bucketclass_dict,\\n ):\\n # Retrieve a list of all objects on the test-objects bucket and\\n # downloads them to the pod\\n data_dir = \\\"/data\\\"\\n bucketname = bucket_factory(\\n 1, interface=interface, bucketclass=bucketclass_dict\\n )[0].name\\n full_object_path = f\\\"s3://{bucketname}\\\"\\n downloaded_files = retrieve_test_objects_to_pod(awscli_pod, data_dir)\\n # Write all downloaded objects to the new bucket\\n sync_object_directory(awscli_pod, data_dir, full_object_path, mcg_obj)\\n\\n assert set(downloaded_files).issubset(\\n obj.key for obj in mcg_obj.s3_list_all_objects_in_bucket(bucketname)\\n )\",\n \"def storage_save_report_file(self, filename, data, report_id=None):\\n if not report_id:\\n report_id = os.path.splitext(os.path.basename(filename))[0]\\n obj = self.storage_model.objects.create(owner=self.user,\\n report_id=report_id,\\n file=File(data, name=filename))\\n return obj\",\n \"def save_json(self, bucket, key, df, compression=None, **kwargs):\\n data_obj = df.to_json(**kwargs)\\n\\n if compression == \\\"gzip\\\":\\n data_obj = self._gzip_str(data_obj)\\n\\n elif compression is not None and compression != \\\"gzip\\\":\\n raise UnsupportedCompressionException(compression)\\n\\n self._s3.Object(bucket, key).put(Body=data_obj, ContentType=\\\"application/json\\\")\\n\\n return self.key_exists(bucket, key)\",\n \"def upload(self, bucket, object, filename, mime_type='application/octet-stream'):\\n service = self.get_conn()\\n media = MediaFileUpload(filename, mime_type)\\n response = service \\\\\\n .objects() \\\\\\n .insert(bucket=bucket, name=object, media_body=media) \\\\\\n .execute()\",\n \"def data_pull_s3(self):\\n year = self.month_year[0]\\n month = self.month_year[1]\\n self.s3 = boto3.resource('s3',aws_access_key_id=self.creds_data['key_id'],\\n aws_secret_access_key=self.creds_data['key_access'])\\n bucket = self.s3.Bucket('himatdata')\\n home = os.getcwd()\\n file_path = os.path.join(*[home, 'Trmm/', self.output_folder, year + '_' + month])\\n print(file_path)\\n if not os.path.exists(file_path):\\n os.makedirs(file_path)\\n for obj in bucket.objects.filter(Delimiter='', Prefix='Trmm/{}{}_{}'.format(self.output_folder, year, month)):\\n if obj.key.endswith('.nc4'):\\n bucket.download_file(obj.key,os.path.join(os.path.join(home, obj.key)))\\n logging.info(\\\"Done with Year Month: %s\\\", month_year)\",\n \"def save(self, hash_str, mime_type):\\n if not os.path.exists(self.path):\\n os.makedirs(self.path)\\n data = self._get_resource_by_hash(hash_str)\\n file_name = hash_str + MIME_TO_EXTESION_MAPPING[mime_type]\\n file_path = os.path.join(self.path, file_name)\\n if not os.path.isfile(file_path):\\n with open(file_path, \\\"w\\\") as f:\\n f.write(data)\\n return \\\"file://\\\" + file_path\",\n \"def test_put_file(self):\\n self.prepare_uploads()\\n backend = BackendS3(**self.config)\\n uploads = self.upload_path\\n src = os.path.join(uploads, 'demo-test.tar.gz')\\n id = utils.generate_id('demo-test.tar.gz')\\n backend.put(src, id)\\n path = '/'.join(backend.id_to_path(id)) + '/demo-test.tar.gz'\\n self.assertTrue(backend.exists(path))\",\n \"def backup_inventory(self):\\n if config.get(\\\"aws\\\", \\\"s3_bucket\\\"):\\n archives = self.load_archives()\\n\\n s3_bucket = S3Backend(self.conf).bucket\\n k = Key(s3_bucket)\\n k.key = self.backup_key\\n\\n k.set_contents_from_string(json.dumps(archives))\\n\\n k.set_acl(\\\"private\\\")\",\n \"def put_contents( path, name, contents, dryrun = False, get_config=lambda: {}, verbose=False ):\\n t_file_fh, t_file_name = tempfile.mkstemp()\\n os.close(t_file_fh)\\n print(contents, file=open(t_file_name,\\\"w\\\"))\\n if not dryrun:\\n fs_mod.fs_put( t_file_name, path+\\\"/\\\"+name, get_config, verbose )\\n if not path.startswith(\\\"s3://\\\"):\\n t = time.time()\\n fs_mod.fs_utime( path+\\\"/\\\"+name, (t,t), get_config )\\n os.remove(t_file_name)\\n return\",\n \"def _StoreMetadataToFile(payload_dir, metadata_obj):\\n file_dict = {SHA1_ATTR: metadata_obj.sha1,\\n SHA256_ATTR: metadata_obj.sha256,\\n SIZE_ATTR: metadata_obj.size,\\n ISDELTA_ATTR: metadata_obj.is_delta_format}\\n metadata_file = os.path.join(payload_dir, METADATA_FILE)\\n with open(metadata_file, 'w') as file_handle:\\n json.dump(file_dict, file_handle)\",\n \"def save_image(self):\\n self.table_to_image.img.save(self.file_name)\\n aws.AWSHandler().upload_image(self.file_name)\",\n \"def save_pickle_to_s3(bucket, path, data):\\n pickled_data = pickle.dumps(data)\\n save_to_s3(bucket, path, pickled_data)\",\n \"def save(src, dest, verbose=False):\\n bucket = connect()\\n s3 = Key(bucket)\\n s3.key = dest\\n try:\\n if verbose:\\n s3.set_contents_from_filename(src, cb=progress_update)\\n else:\\n s3.set_contents_from_filename(src)\\n return s3\\n except gaierror as e:\\n l.error(\\\"Network error encountered trying to reach Amazon S3: %s\\\", e)\\n return False\\n except IOError as e:\\n l.exception(\\\"Error reading from source file: %s\\\", e)\\n return False\\n except:\\n l.exception(\\\"Uncaught exception while saving to Amazon S3.\\\")\\n return False\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.686773","0.6856555","0.6635318","0.6452791","0.6358319","0.6351033","0.63241166","0.6314031","0.6267207","0.62471694","0.616967","0.61287165","0.59705794","0.59511316","0.5942337","0.5938072","0.5931062","0.5896632","0.58732337","0.5843609","0.5823253","0.5819849","0.5815447","0.5803939","0.5794581","0.5790483","0.5787053","0.57857615","0.57820505","0.5772032","0.5735674","0.5727285","0.56970656","0.5685284","0.5659543","0.56593925","0.5650456","0.56448454","0.56119305","0.5606891","0.55952424","0.5591563","0.5565727","0.5556772","0.554937","0.5544298","0.55378205","0.55350107","0.55198365","0.5488718","0.54828215","0.5475198","0.5468941","0.5467076","0.54621243","0.5448104","0.544639","0.543968","0.5434782","0.54333735","0.5431289","0.54299927","0.5409951","0.54078466","0.5375654","0.53722906","0.5368109","0.53651476","0.53644717","0.53508884","0.53505737","0.5341585","0.53336704","0.5333376","0.5332735","0.5328131","0.53159153","0.53055793","0.53029543","0.53023106","0.52987653","0.52927285","0.52886105","0.5285423","0.5284676","0.5279932","0.5274778","0.5267139","0.5260714","0.5260695","0.52605754","0.52369434","0.5236402","0.5213069","0.52111393","0.5210635","0.52067983","0.5199399","0.5189802","0.5185377"],"string":"[\n \"0.686773\",\n \"0.6856555\",\n \"0.6635318\",\n \"0.6452791\",\n \"0.6358319\",\n \"0.6351033\",\n \"0.63241166\",\n \"0.6314031\",\n \"0.6267207\",\n \"0.62471694\",\n \"0.616967\",\n \"0.61287165\",\n \"0.59705794\",\n \"0.59511316\",\n \"0.5942337\",\n \"0.5938072\",\n \"0.5931062\",\n \"0.5896632\",\n \"0.58732337\",\n \"0.5843609\",\n \"0.5823253\",\n \"0.5819849\",\n \"0.5815447\",\n \"0.5803939\",\n \"0.5794581\",\n \"0.5790483\",\n \"0.5787053\",\n \"0.57857615\",\n \"0.57820505\",\n \"0.5772032\",\n \"0.5735674\",\n \"0.5727285\",\n \"0.56970656\",\n \"0.5685284\",\n \"0.5659543\",\n \"0.56593925\",\n \"0.5650456\",\n \"0.56448454\",\n \"0.56119305\",\n \"0.5606891\",\n \"0.55952424\",\n \"0.5591563\",\n \"0.5565727\",\n \"0.5556772\",\n \"0.554937\",\n \"0.5544298\",\n \"0.55378205\",\n \"0.55350107\",\n \"0.55198365\",\n \"0.5488718\",\n \"0.54828215\",\n \"0.5475198\",\n \"0.5468941\",\n \"0.5467076\",\n \"0.54621243\",\n \"0.5448104\",\n \"0.544639\",\n \"0.543968\",\n \"0.5434782\",\n \"0.54333735\",\n \"0.5431289\",\n \"0.54299927\",\n \"0.5409951\",\n \"0.54078466\",\n \"0.5375654\",\n \"0.53722906\",\n \"0.5368109\",\n \"0.53651476\",\n \"0.53644717\",\n \"0.53508884\",\n \"0.53505737\",\n \"0.5341585\",\n \"0.53336704\",\n \"0.5333376\",\n \"0.5332735\",\n \"0.5328131\",\n \"0.53159153\",\n \"0.53055793\",\n \"0.53029543\",\n \"0.53023106\",\n \"0.52987653\",\n \"0.52927285\",\n \"0.52886105\",\n \"0.5285423\",\n \"0.5284676\",\n \"0.5279932\",\n \"0.5274778\",\n \"0.5267139\",\n \"0.5260714\",\n \"0.5260695\",\n \"0.52605754\",\n \"0.52369434\",\n \"0.5236402\",\n \"0.5213069\",\n \"0.52111393\",\n \"0.5210635\",\n \"0.52067983\",\n \"0.5199399\",\n \"0.5189802\",\n \"0.5185377\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.64595914"},"document_rank":{"kind":"string","value":"3"}}},{"rowIdx":89998,"cells":{"query":{"kind":"string","value":"Retrieve a dictionary stored as JSON from S3."},"document":{"kind":"string","value":"def _retrieve_dict(self, object_key):\n return json.loads(self._retrieve_blob(object_key).decode('utf-8'))"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def __retrieve_from_bucket(fname):\n blob = BUCKET.blob(fname)\n json_data = json.loads(blob.download_as_string())\n return json_data","def get_amazon_adj_cls_from_s3(s3_resource, bucket_name, prefix='') -> dict:\n amzn_filename = \"AMZN.json\"\n complete_path = os.path.join(prefix, amzn_filename)\n json_object = s3_resource.Object(bucket_name, complete_path)\n file_content = json_object.get()['Body'].read().decode('utf-8')\n json_content = json.loads(file_content)\n return json_content","def load_archives_from_s3(self):\n s3_bucket = S3Backend(self.conf).bucket\n try:\n k = Key(s3_bucket)\n k.key = self.backup_key\n\n return json.loads(k.get_contents_as_string())\n except S3ResponseError, exc:\n log.error(exc)\n return {}","def get(self, key):\n return s3.Object(self.bucket.name, key).get()['Body'].read()","def get_google_adj_cls_from_s3(s3_resource, bucket_name, prefix='') -> dict:\n googl_filename = \"GOOGL.json\"\n complete_path = os.path.join(prefix, googl_filename)\n json_object = s3_resource.Object(bucket_name, complete_path)\n file_content = json_object.get()['Body'].read().decode('utf-8')\n json_content = json.loads(file_content)\n return json_content","def read_data_from_s3(self, name, loc):\n try:\n filename = loc + name + \".json\"\n logger.info('Retrieving the data from the S3 file %s' % filename)\n return self._retrieve_dict(filename)\n except Exception as e:\n logger.error(e)\n return False","async def getStorJSONObj(app, key, bucket=None):\n\n client = _getStorageClient(app)\n if not bucket:\n bucket = app['bucket_name']\n if key[0] == '/':\n key = key[1:] # no leading slash\n log.info(f\"getStorJSONObj({bucket})/{key}\")\n\n data = await client.get_object(key, bucket=bucket)\n\n try:\n json_dict = json.loads(data.decode('utf8'))\n except UnicodeDecodeError:\n log.error(f\"Error loading JSON at key: {key}\")\n raise HTTPInternalServerError()\n\n log.debug(f\"storage key {key} returned: {json_dict}\")\n return json_dict","def get_object(self, key):\n r = self.s3client.get_object(Bucket = self.s3_bucket, Key = key)\n data = r['Body'].read()\n return data","def get_apple_adj_cls_from_s3(s3_resource, bucket_name, prefix='') -> dict:\n aapl_filename = \"AAPL.json\"\n complete_path = os.path.join(prefix, aapl_filename)\n json_object = s3_resource.Object(bucket_name, complete_path)\n file_content = json_object.get()['Body'].read().decode('utf-8')\n json_content = json.loads(file_content)\n return json_content","def get_from_s3(s3_client, s3_url):\n url = urlparse(s3_url)\n\n # Split the bucket from the key\n bucket_name = urllib2.unquote(url.netloc).decode('utf8')\n key_name = urllib2.unquote(url.path[1:]).decode('utf8')\n\n # We're done parsing; start doing some S3 ops\n bucket = s3_client.get_bucket(bucket_name, validate=False)\n key = bucket.get_key(key_name)\n return key.get_contents_as_string()","def retrieve_s3_contents ( s3_conn, bucket_name, key_name, stored_filename = None ) :\n bucket = s3_conn.get_bucket( bucket_name )\n key = boto.s3.key.Key( bucket )\n key.key = key_name\n if key.exists( ) :\n if stored_filename :\n key.get_contents_to_filename( stored_filename )\n return stored_filename\n\n return key.get_contents_as_string( )\n\n return None","def get_file_from_s3(bucket_name, file_name, json_parse=True):\n s3_client = boto3.client('s3')\n s3_file = s3_client.get_object(Bucket=bucket_name, Key=file_name)\n try:\n file_contents = s3_file['Body'].read()\n if json_parse:\n file_contents = json.loads(file_contents)\n except Exception as exc:\n LOGGER.error('Encountered error reading s3 file')\n raise exc\n return file_contents","def get_gzipped_s3_objects_from_dict(session, event):\n return get_s3_objects_from_dict(\n session, event, default_unzip_s3_object_handler_function\n )","def _get_s3_object(self, s3_path):\n bucket_name, key = S3Util.get_bucket_and_key(s3_path)\n return self.s3_resource.Object(bucket_name, key)","def s3_read_data(self):\n\n self.k.open()\n self.k.read()","def get_s3_object(self, key):\n try:\n bucket_name = app.config['S3_BUCKET_NAME']\n s3_client = app.config['S3']\n response = s3_client.get_object(Bucket=bucket_name, Key=key)\n return response['Body'].read()\n except Exception:\n return None","def json_to_dict(s3_user):\n try:\n s3_config = s3_user.get_object(Bucket=\"hermes-sharedservices-data\", Key=\"Lambdas/start-stop/config.json\")['Body'].read()\n logger.info('Fetching config file..')\n return ast.literal_eval(s3_config)\n except Exception as error:\n logger.info(\"Reading the config from S3 failed with the following error : {}\".format(error))","def get_ibm_adj_cls_from_s3(s3_resource, bucket_name, prefix='') -> dict:\n ibm_filename = \"IBM.json\"\n complete_path = os.path.join(prefix, ibm_filename)\n json_object = s3_resource.Object(bucket_name, complete_path)\n file_content = json_object.get()['Body'].read().decode('utf-8')\n json_content = json.loads(file_content)\n return json_content","def get_s3_objects_from_dict(session, event, object_handler_function):\n\n objects = []\n s3 = session.client(\"s3\")\n # Get the object from the event and show its content type\n for record in event.get(\"Records\", []):\n bucket = record[\"s3\"][\"bucket\"][\"name\"]\n unprocessed_key = record[\"s3\"][\"object\"][\"key\"]\n # urllib changes structure and encoding is different\n # between python 2 and 3\n key = (\n urllib.parse.unquote_plus(unprocessed_key)\n # if sys.version_info[0] >= 3\n # else urllib.unquote_plus(unprocessed_key.encode(\"utf-8\"))\n )\n logging.info(\"Bucket: %s. Key: %s\", bucket, key)\n\n # get S3 object and add it to return list\n response = s3.get_object(Bucket=bucket, Key=key)\n objects.append(object_handler_function(response))\n return objects","def read_key_s3(self, keyUrl='', bucket=None):\n \n if bucket is None:\n bucket = self.AWS_S3_BUCKET\n\n try:\n\n fileobj = self.get_s3_client().get_object(\n Bucket= bucket,\n Key= keyUrl\n )\n readKey = fileobj['Body'].read()\n # contentObj = readKey.decode('utf-8')\n\n return readKey\n\n except:\n time.sleep(1)\n pass","def load_s3_njson(bucket, prefix, key_list, honorary_list):\n # Get list of files in bucket and with prefix:\n s3_file_list = list_s3_files(bucket, prefix)\n \n # Load data from all files:\n structured_data = []\n for s3_file in s3_file_list:\n structured_data = structured_data + s3_file_to_dict_list(bucket, s3_file, key_list, honorary_list)\n \n return structured_data","def load_file_aws(file_path, aws_credentials):\n bucket_engine = S3Bucket(*aws_credentials)\n return json.loads(\n gzip.decompress(\n bucket_engine.read(file_path)\n ).decode('utf-8')\n )","def get_ratings_from_s3():\n s3 = boto3.resource('s3', aws_access_key_id=AWS_ACCESS_KEY_ID, aws_secret_access_key=AWS_SECRET_ACCESS_KEY)\n s3_object = s3.Object(S3_BUCKET_NAME, S3_FILE_NAME)\n ratings_string = s3_object.get()['Body'].read()\n rating_string_io = io.BytesIO(ratings_string)\n ratings_dict_reader = csv.DictReader(rating_string_io)\n\n ratings_dict = {}\n for player in ratings_dict_reader:\n ratings_dict[player['name']] = int(player['rating'])\n\n return ratings_dict","def get_s3_content(bucket, key, access_id, access_secret):\n try:\n response = s3_client(access_id, access_secret).get_object(Bucket=bucket, Key=key)\n body = response['Body'].read()\n return body\n except ClientError as error:\n LOGGER.error(error)\n return None","def get_s3_object_text(s3_resource: boto3.session.Session.resource, bucket_name: str, key: str) -> str:\n obj = s3_resource.Object(bucket_name, key)\n return obj.get()['Body'].read().decode('utf-8')","def load_from_s3(filename):\n s3 = boto3.client('s3')\n obj = s3.get_object(Bucket=BUCKET_NAME, Key=S3_PATH.format(filename))\n return obj['Body'].read().decode()","def _read_s3_url(cls, s3_url):\n\n parsed_url = urllib.parse.urlparse(s3_url)\n return cls.s3.get_object(Bucket=parsed_url.netloc,\n Key=parsed_url.path.lstrip(\"/\"))[\"Body\"].read()","def get_transcribe_output(key):\n s3 = boto3.client('s3')\n\n obj = s3.get_object(Bucket=os.getenv(\"S3_BUCKET\"), Key=key)\n\n return json.loads(obj[\"Body\"].read())","def get_file_s3(bucket, key):\n \n client = boto3.client('s3')\n return client.get_object(Bucket=bucket, Key=key)['Body'].read().decode('utf-8')","def _aws_get_object(bucket, key, request_pays=True, client=None):\n if not client:\n session = boto3_session(region_name=REGION)\n client = session.client(\"s3\")\n\n params = {\"Bucket\": bucket, \"Key\": key}\n if request_pays:\n params[\"RequestPayer\"] = \"requester\"\n response = client.get_object(**params)\n return response[\"Body\"].read()","def s3resource(self):\n return self._s3resource","def fetch_config_from_s3(client):\n try:\n response = client.assume_role(\n RoleArn=\"arn:aws:iam::548760365095:role/Ec2StartStopLambdaActionRole\",\n RoleSessionName=\"Ec2-Start-Stop-Lambda-Session-Role\"\n )\n fetcher = boto3.client(\n 's3',\n aws_access_key_id=response['Credentials']['AccessKeyId'],\n aws_secret_access_key=response['Credentials']['SecretAccessKey'],\n aws_session_token=response['Credentials']['SessionToken']\n )\n return json_to_dict(fetcher)\n except Exception as error:\n logger.info(\"Creating a temporary S3 privileged user failed with the following error : {}\".format(error))","def parse_s3_url(url):\n parsed_url = urlparse(url)\n if parsed_url.scheme != \"s3\":\n raise ValueError(\"S3 URLs must start with 's3://'\")\n\n bucket = parsed_url.netloc.split(\".\")[0]\n key = parsed_url.path.lstrip(\"/\")\n\n return {\"bucket\": bucket, \"key\": key}","def get_tags(bucket: str, key: str) -> dict:\n logger.debug(f'Reading tags from s3://{bucket}/{key}')\n response = client().get_object_tagging(Bucket=bucket, Key=key)\n return dict((tag['Key'], tag['Value']) for tag in response['TagSet'])","def fetch(iid):\n if AWS_CLIENT_CONFIG and BUCKET_NAME:\n try:\n s3 = boto3.resource('s3', **AWS_CLIENT_CONFIG)\n obj = s3.Bucket(BUCKET_NAME).Object(iid).get()\n if obj:\n return obj.get('Body')\n except botocore.exceptions.ClientError as e:\n logger.error(e)\n else:\n # get locally from temp dir (tests, local development)\n return get_temp_file(iid)\n return None","def _do_retrieve(bucket_name, key_path, number_retries=DEFAULT_S3_RETRIES):\n try:\n return conn.get_object(Bucket=bucket_name, Key=key_path, ResponseContentType='string')\n except Exception:\n if number_retries > 0:\n print(\"s3_retrieve failed with incomplete read, retrying on %s\" % key_path)\n return _do_retrieve(bucket_name, key_path, number_retries=number_retries - 1)\n raise","def list_s3_content(bucket, access_id, access_secret, prefix=\"\"):\n try:\n response = s3_client(access_id, access_secret).list_objects(Bucket=bucket, Prefix=prefix)\n objects = []\n if response.get(\"Contents\"):\n for key in response['Contents']:\n objects.append(key['Key'])\n return objects\n except ClientError as error:\n LOGGER.error(error)\n return None","def load(self, bucket, key):\n\n bucket = self._build_bucket_resource(bucket)\n\n with io.BytesIO() as stream:\n bucket.download_fileobj(key, stream)\n stream.seek(0)\n\n wrapper = io.TextIOWrapper(stream, encoding='utf-8')\n # Preserve the original order\n return json.load(wrapper, object_pairs_hook=collections.OrderedDict)","def read_s3_file(date):\n \"\"\" history from S3 \"\"\"\n bucket = os.getenv(\"SPOTIFY_BUCKET_NAME\")\n path = os.getenv(\"SPOTIFY_BUCKET_PATH\")\n s3 = boto3.resource('s3')\n try:\n s3.Object(bucket, \"%s/%s.json\" % (path, date)).load()\n except botocore.exceptions.ClientError as e:\n logger.info(\"No existing history file found for %s, %s\" %\n (date, e.response['Error']['Code']))\n if e.response['Error']['Code'] == '404':\n return []\n else:\n logger.warning(\"Unexpected error code returned!\")\n return []\n else:\n logger.info(\"Reading history file for %s\" % date)\n content_object = s3.Object(bucket, \"%s/%s.json\" % (path, date))\n file_content = content_object.get()['Body'].read().decode('utf-8')\n json_content = json.loads(file_content)\n return json_content","def default_unzip_s3_object_handler_function(response):\n bytestream = BytesIO(response[\"Body\"].read())\n raw_object = GzipFile(None, \"rb\", fileobj=bytestream).read()\n try:\n # decode if allowed\n return_object = raw_object.decode(\"utf-8\")\n except AttributeError:\n return_object = raw_object\n return json.loads(return_object)","def get_s3_file(self, no_copy=False):\n return self.get_file(uri_type=URI_S3, no_copy=no_copy)","def get_metadata_body(self):\n key = self.build_s3_key('datapackage.json')\n return self.get_s3_object(key)","def read_bucket_objects(bucket_name):\n s3 = boto3.resource('s3')\n bucket = s3.Bucket(bucket_name)\n for obj in bucket.objects.all():\n response = obj.get()\n body = response['Body'].read().decode('utf-8')\n print(body)","async def getStorObjStats(app, key, bucket=None):\n # TBD - will need to be refactored to handle azure responses\n\n client = _getStorageClient(app)\n if not bucket:\n bucket = app['bucket_name']\n stats = {}\n\n if key[0] == '/':\n #key = key[1:] # no leading slash\n msg = f\"key with leading slash: {key}\"\n log.error(msg)\n raise KeyError(msg)\n\n log.info(f\"getStorObjStats({key})\")\n\n resp = await client.list_keys(bucket=bucket, limit=1, prefix=key)\n\n if 'Contents' not in resp:\n msg = f\"key: {key} not found\"\n log.info(msg)\n raise HTTPInternalServerError()\n contents = resp['Contents']\n log.debug(f\"storage_contents: {contents}\")\n\n found = False\n if len(contents) > 0:\n item = contents[0]\n if item[\"Key\"] == key:\n # if the key is a S3 folder, the key will be the first object in the folder,\n # not the requested object\n found = True\n if item[\"ETag\"]:\n etag = item[\"ETag\"]\n if len(etag) > 2 and etag[0] == '\"' and etag[-1] == '\"':\n # S3 returning extra quotes around etag?\n etag = etag[1:-1]\n stats[\"ETag\"] = etag\n else:\n if \"Owner\" in item and \"ID\" in item[\"Owner\"] and item[\"Owner\"][\"ID\"] == \"minio\":\n pass # minio is not creating ETags...\n else:\n log.warn(f\"No ETag for key: {key}\")\n # If no ETAG put in a fake one\n stats[\"ETag\"] = \"9999\"\n stats[\"Size\"] = item[\"Size\"]\n stats[\"LastModified\"] = int(item[\"LastModified\"].timestamp())\n if not found:\n msg = f\"key: {key} not found\"\n log.info(msg)\n raise HTTPNotFound()\n\n return stats","def test_s3_gets_object_content(self):\n mock_s3 = Mock()\n mock_s3_object = Mock()\n s3_response = {'Body': mock_s3_object}\n mock_s3_object.read.return_value = \"file content\"\n mock_s3.get_object.return_value = s3_response\n\n s3_bucket = S3Bucket('bucket_name', s3_client=mock_s3)\n assert s3_bucket.get_content('/file.text') == \\\n 'file content'","def read_jsonl_from_s3(s3_path, encoding='utf-8', compressed=False) :\n bucket, key = s3_path_to_bucket_key(s3_path)\n obj = s3_resource.Object(bucket, key)\n text = obj.get()['Body'].read()\n \n if compressed:\n split_text = gzip.decompress(text).decode(encoding).split('\\n')\n else:\n split_text = text.decode(encoding).split('\\n')\n \n data = []\n for t in split_text:\n data.append(json.loads(t))\n \n return data","def get_bytes(bucket: str, key: str) -> bytes:\n logger.debug(f'Reading from s3://{bucket}/{key}')\n response = client().get_object(Bucket=bucket, Key=key)\n return response['Body'].read()","def save_file_aws(obj, file_path, aws_credentials):\n bucket_engine = S3Bucket(*aws_credentials)\n data = gzip.compress(json.dumps(obj).encode('utf-8'))\n bucket_engine.write(file_path, data)","def download_keypair ( s3_infra_conn, aws_account_type, region_name, keypair_type ) :\n keypair_name = get_keypair_name( aws_account_type, region_name, keypair_type )\n keypair_bucket = get_admin_bucket_name( region_name = region_name )\n return retrieve_s3_contents( s3_conn = s3_infra_conn,\n bucket_name = keypair_bucket,\n key_name = get_keypair_keypath( aws_account_type ) + get_keypair_keyname( keypair_name ),\n stored_filename = keypair_name )","def get(self, key, file_path=None):\n log.info('Downloading file (%s) from S3 (%s)' % (key, self.bucket_name))\n try:\n k = self.bucket.get_key(key)\n if k:\n if file_path:\n if not os.path.exists(os.path.dirname(file_path)):\n os.makedirs(os.path.dirname(file_path))\n k.get_contents_to_filename(file_path)\n log.info('Download Complete (%s) from S3 (%s)' % (key, self.bucket_name))\n return True\n else:\n return {'key': os.path.basename(key), 'value': k.get_contents_as_string()}\n else:\n return False\n except Exception, e:\n log.error('Failed to download key (%s) from S3 (%s)' % (key, self.bucket_name), exc_info=True)\n return False","def read_json(self, key):\n return json.loads(self.get_object(key))","def get_gzipped_s3_objects_from_sns_msg_of_dict(session, event):\n objects = []\n if _is_s3_notif(event):\n return get_gzipped_s3_objects_from_dict(session, event)\n for record in event.get(\"Records\", []):\n message = record.get(\"Sns\", {}).get(\"Message\")\n objects.extend(get_gzipped_s3_objects_from_dict(session, json.loads(message)))\n return objects","def s3(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"s3\")","def read_file(user_id, path):\n full_path = s3_path + f\"/users/{user_id}/\" + path\n list_of_files = bucket.objects.filter(Prefix=full_path)\n story_dict = {}\n for obj in list_of_files:\n key = obj.key\n body = obj.get()['Body'].read()\n last_part = key.split(\"/\")[-1]\n story_dict[last_part] = body.decode(\"utf-8\")\n return story_dict","def s3(ctx, bucket_name, data_file, region):\n ctx.obj['BUCKET_NAME'] = bucket_name\n ctx.obj['DATA_FILE'] = data_file\n ctx.obj['TYPE'] = 's3'\n ctx.obj['REGION'] = region","def lambda_handler(event, context):\n qpmBucket = event['queryStringParameters']['bucket']\n fn_bucket = list_s3_objects(qpmBucket)\n print(fn_bucket)\n \n \n return {\n \"statusCode\": 200,\n \"body\": json.dumps(str(fn_bucket)),\n }","def _retrieve_blob(self, object_key):\n return self.s3_resource.Object(self.CVE_BUCKET, object_key).get()['Body'].read()","def get_config():\n\n # Retrieve config from S3\n config = get_json(BUCKET, CONFIG_S3_KEY)\n\n # If config does not currently exist, create a default one and save to S3\n if not config:\n config = generate_config()\n save_config(config)\n\n return config","def get(self, bucket: str, object_name: str) -> bytes:\n raise NotImplementedError()","def _get_state_file_from_s3(\n self,\n state_file_url: str,\n profile: str = None,\n region: str = None\n ) -> Dict[str, Any]:\n if profile:\n session = boto3.session.Session(profile_name=profile, region_name=region)\n else:\n session = get_boto3_session()\n s3 = session.resource('s3')\n parts = state_file_url[5:].split('/')\n bucket = parts[0]\n filename = \"/\".join(parts[1:])\n key = s3.Object(bucket, filename)\n try:\n state_file = key.get()[\"Body\"].read().decode('utf-8')\n except botocore.exceptions.ClientError as ex:\n if ex.response['Error']['Code'] == 'NoSuchKey':\n raise NoSuchTerraformStateFile(\"Could not find Terraform state file {}\".format(state_file_url))\n raise ex\n return json.loads(state_file)","def getS3Object(self, bucket=None, s3Path=None, destPath=None):\n methodName = \"getS3Object\"\n \n if (not bucket):\n raise MissingArgumentException(\"An S3 bucket name (bucket) must be provided.\")\n #endIf\n \n if (not s3Path):\n raise MissingArgumentException(\"An S3 object key (s3Path) must be provided.\")\n #endIf\n \n if (not destPath):\n raise MissingArgumentException(\"A file destination path (destPath) must be provided.\")\n #endIf\n \n TR.info(methodName, \"STARTED download of object: %s from bucket: %s, to: %s\" % (s3Path,bucket,destPath))\n \n s3url = self.s3.generate_presigned_url(ClientMethod='get_object',Params={'Bucket': bucket, 'Key': s3Path},ExpiresIn=60)\n TR.fine(methodName,\"Getting S3 object with pre-signed URL: %s\" % s3url)\n #endIf\n \n destDir = os.path.dirname(destPath)\n if (not os.path.exists(destDir)):\n os.makedirs(destDir)\n TR.info(methodName,\"Created object destination directory: %s\" % destDir)\n #endIf\n \n r = requests.get(s3url, stream=True)\n with open(destPath, 'wb') as destFile:\n shutil.copyfileobj(r.raw, destFile)\n #endWith\n\n TR.info(methodName, \"COMPLETED download from bucket: %s, object: %s, to: %s\" % (bucket,s3Path,destPath))\n \n return destPath","def _s3_get_file(url):\n try:\n return S3().get_contents_from_url(url)\n except Exception as e:\n raise ScrBaseException(\"Could not load file from {0}: {1}\".format(url, e))","def get_s3_keys(bucket, user_keys = None):\n keys = []\n if user_keys is None:\n \t\t\t\ts3 = boto3.client('s3')\n else:\n s3 = boto3.client('s3', \n aws_access_key_id = user_keys[\"AWS_ACCESS_KEY_ID\"], \n aws_secret_access_key = user_keys[\"AWS_SECRET_ACCESS_KEY\"], \n region_name = user_keys[\"REGION_NAME\"]\n ) \t \n \n resp = s3.list_objects_v2(Bucket= bucket)\n for obj in resp['Contents']:\n keys.append(obj['Key'])\n return keys","def s3_download(path):\n with s3_read(path):\n # Reading the file will cache the file locally.\n pass","def s3_file_to_dict_list(bucket, path, key_list=None, honorary_keys=None):\n # Load the content of the file as a string:\n content = get_file_s3(bucket, path)\n # Transform the content into a list of dicts:\n raw_data = load_njson(content)\n \n # If it is not a key-value pair, return list of dicts:\n if key_list == None:\n structured_data = raw_data\n \n # Else, parse into a dict with selected keys:\n else:\n data_dict = keyvalue_to_structure(raw_data, key_list)\n \n # If there are other entries in raw_data other than 'key' and 'value', extract them here:\n if honorary_keys != None:\n for honorary in honorary_keys:\n data_dict[honorary] = raw_data[0][honorary]\n \n structured_data = [data_dict]\n \n return structured_data","def get_s3_object(self, remote_s3_url):\n try:\n _file = tempfile.mkstemp()[1]\n parsed_s3_path = remote_s3_url.split(\"/\", 3) # s3://bucket-name/key\n remote_bucket = parsed_s3_path[2] # Bucket name\n remote_key = parsed_s3_path[3] # Key\n self.download_file(remote_bucket, remote_key, _file)\n return _file\n except Exception as e:\n message = {'FILE': __file__.split('/')[-1],\n 'METHOD': inspect.stack()[0][3], 'EXCEPTION': str(e)}\n self.logger.exception(message)\n raise","def get_s3_object(bucket, key_name, local_file):\n\n tracer.put_metadata('object', f's3://{bucket}/{key_name}')\n\n try:\n s3_resource.Bucket(bucket).download_file(key_name, local_file)\n result = 'ok'\n tracer.put_annotation('OBJECT_DOWNLOAD', 'SUCCESS')\n except botocore.exceptions.ClientError as e:\n tracer.put_annotation('OBJECT_DOWNLOAD', 'FAILURE')\n if e.response['Error']['Code'] == '404':\n result = f'Error: s3://{bucket}/{key_name} does not exist'\n else:\n result = f'Error: {str(e)}'\n\n return(result)","def get_s3_client():\n return boto3.resource('s3')","def s3_retrieve(key_path, study_object_id, raw_path=False, number_retries=DEFAULT_S3_RETRIES):\n if not raw_path:\n key_path = study_object_id + \"/\" + key_path\n encrypted_data = _do_retrieve(S3_BUCKET, key_path, number_retries=number_retries)['Body'].read()\n return encryption.decrypt_server(encrypted_data, study_object_id)","def get_file_text_from_s3_bucket_and_key(s3_file_url_dict, s3_boto):\n\tfile_texts = {}\n\tfor s3_url, s3_ref in s3_file_url_dict.items():\n\t\tif \"bucket\" not in s3_ref:\n\t\t\traise ValueError(\"bucket key not in s3_ref: \" + str(s3_ref))\n\t\tif \"key\" not in s3_ref:\n\t\t\traise ValueError(\"key key not in s3_ref: \" + str(s3_ref))\n\t\tbucket_name = s3_ref[\"bucket\"]\n\t\tkey = s3_ref[\"key\"]\n\t\ttry:\n\t\t\tobj = s3_boto.Object(bucket_name, key)\n\t\t\tfile_contents = obj.get()['Body'].read().decode('utf-8') \t\n\t\t\tfile_texts[s3_url] = file_contents\n\t\texcept Exception as e:\n\t\t\texc_type, exc_value, exc_traceback = sys.exc_info()\n\t\t\tif str(exc_type) == \"<class 'botocore.errorfactory.NoSuchKey'>\":\n\t\t\t\t# given the distributed nature of the Lambdas, the requested key might not exist. Set file text to \"\"\n\t\t\t\t# leave that file out of the dictionary\n\t\t\t\tlog = structlog.get_logger()\n\t\t\t\tlog.warning(\"Warning: can't find \" + bucket_name + \"/\" + key )\n\t\t\telse:\n\t\t\t\traise(e)\n\treturn file_texts","def boto_init_s3(bucket_name):\n c = boto.connect_s3(aws_access_key_id=settings.AWS_ACCESS_KEY_ID,\n aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY)\n b = c.get_bucket(bucket_name)\n\n return b","def _get_usofa_data(bucketname):\n client = boto3.client('s3')\n result = client.get_object(Bucket=bucketname, Key='accounts.json')\n return json.loads(result['Body'].read().decode('utf-8'))","def get_files_from_s3_lambda_event(event):\n\tfiles_found = {}\n\n\tif \"Records\" not in event:\n\t\traise ValueError(\"Records key not in event\")\n\n\tcount = 0\n\tfor record in event[\"Records\"]:\n\t\tcount = count + 1\n\t\tkey = record[\"s3\"][\"object\"][\"key\"]\n\t\tbucket_arn = record[\"s3\"][\"bucket\"][\"arn\"]\n\t\tbucket_name = get_bucket_name_from_arn(bucket_arn)\n\t\tfile_url = get_bucket_file_url(bucket_name, key)\n\t\tfiles_found[file_url] = {\"bucket\" : bucket_name, \"key\" : key}\n\treturn files_found","def s3_data_conn ( self ) :\n if not self.s3_data :\n self.s3_data = boto.s3.connection.S3Connection( self.access_key, self.access_key_secret )\n return self.s3_data","def ListFiles(s3):\n response = s3.list_objects(Bucket='mynewbucket123')\n for content in response.get('Contents', []):\n yield content.get('Key')","def download_json_metadata_from_s3(bucket_name, prefix=\"\", num_threads=20):\n\n # simple method for threads to pull from a queue and download JSON files\n def download_object(queue):\n while True:\n obj = queue.get()\n if obj is None:\n break\n obj.Object().download_file(obj.key.replace(prefix, ''))\n queue.task_done()\n\n # create a directory to store downloaded metadata\n cwd = Path.cwd()\n data_dir = cwd / 'data'\n json_dir = data_dir / 'json'\n # try:\n os.makedirs(json_dir, exist_ok=True)\n # except FileExistsError:\n # shutil.rmtree(json_dir)\n # os.makedirs(json_dir)\n os.chdir(json_dir)\n\n # create a queue for objects that need to be downloaded\n # and spawn threads to download them concurrently\n download_queue = Queue(maxsize=0)\n workers = []\n for worker in range(num_threads):\n worker = Thread(target=download_object, args=(download_queue, ))\n worker.setDaemon(True)\n worker.start()\n workers.append(worker)\n\n # loop through the files in the bucket and filter for JSON metadata\n # files for only labeled images; add them to the queue\n s3 = boto3.resource(\"s3\")\n bucket = s3.Bucket(bucket_name)\n for obj in bucket.objects.filter(Prefix=prefix):\n if obj.key.endswith(\"meta.json\"):\n download_queue.put(obj)\n\n # wait for the queue to be empty, then join all threads\n download_queue.join()\n for _ in range(num_threads):\n download_queue.put(None)\n for worker in workers:\n worker.join()\n\n os.chdir(cwd)","def from_s3(cls, bucket_name, mos_file_key):\n xml = s3.get_file_contents(bucket_name, mos_file_key)\n return cls.from_string(xml)","def s3(self) -> Optional['outputs.DataRepositoryAssociationS3']:\n return pulumi.get(self, \"s3\")","def _s3_stash(self):\n s3_url = 's3://{}/{}'.format(BUCKET, self.atom_file)\n bucketpath = BUCKET.strip(\"/\")\n bucketbase = BUCKET.split(\"/\")[0]\n parts = urlparse.urlsplit(s3_url)\n mimetype = 'application/xml' \n \n conn = boto.connect_s3()\n\n try:\n bucket = conn.get_bucket(bucketbase)\n except boto.exception.S3ResponseError:\n bucket = conn.create_bucket(bucketbase)\n self.logger.info(\"Created S3 bucket {}\".format(bucketbase))\n\n if not(bucket.get_key(parts.path)):\n key = bucket.new_key(parts.path)\n key.set_metadata(\"Content-Type\", mimetype)\n key.set_contents_from_filename(self.atom_file)\n msg = \"created {0}\".format(s3_url)\n self.logger.info(msg)\n else:\n key = bucket.get_key(parts.path)\n key.set_metadata(\"Content-Type\", mimetype)\n key.set_contents_from_filename(self.atom_file)\n msg = \"re-uploaded {}\".format(s3_url)\n self.logger.info(msg)","def sync_to_bucket(s3_url,\n region='eu-west-1',\n profile_name=None):\n\n parsed_s3_url = urlparse.urlparse(s3_url);\n\n bucket_name = parsed_s3_url.hostname;\n key_prefix = parsed_s3_url.path;\n if key_prefix[0] == '/':\n key_prefix = key_prefix[1:]\n if key_prefix[-1] != '/':\n key_prefix = key_prefix + '/'\n\n def inner(fn_inner):\n \"\"\"\n Decorator function function sent in should be having signature\n func(None,None, XmlDoc) and should yield JSON document one for\n each file that should be persisted to S3\n \"\"\"\n\n def handler(event, context):\n \"\"\"\n The AWS Lambda Entry Point\n \"\"\"\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\n bucket = s3conn.get_bucket(bucket_name)\n\n # Use a map to track keys that are no longer in the feed, used for deletion\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\n\n logger.debug(\"Existing keys in bucket\\n%s\", '\\n'.join(remaining_keys));\n\n for id, json_data in fn_inner():\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\n\n # Key found, delete it from cleanup map\n if key_name in remaining_keys:\n del remaining_keys[key_name]\n\n string_data = json.dumps(json_data)\n s3_object = bucket.get_key(key_name)\n if s3_object == None:\n key = bucket.new_key(key_name);\n key.set_contents_from_string(string_data)\n logger.info('Creating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n else:\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\n logger.info('Updating:\\ts3://%s/%s', bucket_name, key_name)\n logger.debug(string_data)\n s3_object.set_contents_from_string(string_data)\n else:\n logger.info('Same:\\ts3://%s/%s', bucket_name, key_name);\n logger.debug(string_data)\n\n # Remvoe remaining keys from the bucket to allow for cleanup\n for key in remaining_keys:\n logger.info('Removing:\\ts3://%s/%s', bucket_name, key);\n bucket.delete_key(key);\n\n logger.info('Done');\n\n return handler\n\n return inner","def s3_get(url, temp_file):\n s3_resource = boto3.resource(\"s3\")\n bucket_name, s3_path = split_s3_path(url)\n s3_resource.Bucket(bucket_name).download_fileobj(s3_path, temp_file)","def s3_get(url, temp_file):\n s3_resource = boto3.resource(\"s3\")\n bucket_name, s3_path = split_s3_path(url)\n s3_resource.Bucket(bucket_name).download_fileobj(s3_path, temp_file)","def dump_job_data(s3, bucket, key, ecosystem, package, version):\n data = s3.read_object(bucket, key)\n timestamp_str = datetime.datetime.utcnow().strftime(\"%Y-%m-%dT%H:%M:%S.%f\")\n filename = \"s3_data_{e}_{p}_{v}_{t}.json\".format(e=ecosystem,\n p=package,\n v=version,\n t=timestamp_str)\n with open(filename, 'w') as fout:\n json.dump(data, fout)","def get_geoid_dict() -> dict:\n geoid_dict = GEOID_PATHS_AGI\n\n resp = requests.head(S3_URL)\n if resp.status_code == 200:\n geoid_dict = GEOID_PATHS_JPL\n\n return geoid_dict.copy()","def get_text(bucket, key):\n s3 = boto3.resource(\"s3\")\n\n ocr_obj = s3.Object(bucket, key)\n response = ocr_obj.get()\n data = response[\"Body\"].read()\n\n return data","def read_object(self, bucket_name, object_name, offset=0, size=0):\n\n data, done = h3lib.read_object(self._handle, bucket_name, object_name, offset, size, self._user_id)\n if data is None:\n data = b''\n return H3Bytes(data, done=done)","def read_s3_file(bucket, key):\r\n try:\r\n s_3 = boto3.client('s3')\r\n file = s_3.get_object(Bucket=bucket, Key=key)\r\n file_body = file['Body'].read().decode(\"utf-8\")\r\n return file_body\r\n\r\n except (FileNotFoundError, IndexError, SystemExit, OSError, IOError) as err:\r\n print(\"Error in reading file\", str(err))\r\n return \"\"","def store_json_content(self, content, obj_key):\n try:\n logger.info('Storing the data into the S3 file %s' % obj_key)\n self.s3_resource.Object(self.CVE_BUCKET, obj_key).put(\n Body=json.dumps(content, indent=2).encode('utf-8'))\n except Exception as e:\n logger.exception('%r' % e)","def get_pickle_from_s3(path):\n return load_pickle_from_s3(*load_bucket_and_path(path))","def mock_state(self):\n if self.name in self.connection.mock_s3_fs:\n return self.connection.mock_s3_fs[self.name]['keys']\n else:\n raise boto.exception.S3ResponseError(404, 'Not Found')","def load_pickle_from_s3(bucket, path):\n pkl = get_from_s3(bucket, path)\n try:\n return pickle.loads(pkl, encoding='utf-8') # python3\n except TypeError:\n return pickle.loads(pkl) # python2","def _get_s3_key():\n\n key = __opts__[\"s3.key\"] if \"s3.key\" in __opts__ else None\n keyid = __opts__[\"s3.keyid\"] if \"s3.keyid\" in __opts__ else None\n service_url = __opts__[\"s3.service_url\"] if \"s3.service_url\" in __opts__ else None\n verify_ssl = __opts__[\"s3.verify_ssl\"] if \"s3.verify_ssl\" in __opts__ else None\n kms_keyid = __opts__[\"aws.kmw.keyid\"] if \"aws.kms.keyid\" in __opts__ else None\n location = __opts__[\"s3.location\"] if \"s3.location\" in __opts__ else None\n path_style = __opts__[\"s3.path_style\"] if \"s3.path_style\" in __opts__ else None\n https_enable = (\n __opts__[\"s3.https_enable\"] if \"s3.https_enable\" in __opts__ else None\n )\n\n return (\n key,\n keyid,\n service_url,\n verify_ssl,\n kms_keyid,\n location,\n path_style,\n https_enable,\n )","def read_mock_data(self):\n if self.name in self.bucket.mock_state():\n return self.bucket.mock_state()[self.name][0]\n else:\n raise boto.exception.S3ResponseError(404, 'Not Found')","def readFileFromS3(self, keyname, path):\n try:\n k = Key(self.BUCKET)\n k.key = keyname\n k.get_contents_to_filename(path)\n return True\n except IOError:\n return False","async def putStorJSONObj(app, key, json_obj, bucket=None):\n\n client = _getStorageClient(app)\n if not bucket:\n bucket = app['bucket_name']\n if key[0] == '/':\n key = key[1:] # no leading slash\n log.info(f\"putS3JSONObj({bucket}/{key})\")\n data = json.dumps(json_obj)\n data = data.encode('utf8')\n\n rsp = await client.put_object(key, data, bucket=bucket)\n\n return rsp","def list_public_s3_objects(self):\n _response = urllib.urlopen(self.options.s3_bucket_url)\n _html = _response.read()\n\n if LOCAL_DEBUG:\n print _html\n\n try:\n assert \"AccessDenied\" not in _html\n assert \"NoSuchBucket\" not in _html\n except:\n print(\"ERROR: AccessDenied or NoSuchBucket for {}\".format(self.options.s3_bucket_url))\n raise","def download_privacy_score(bucket_name, bucket_prefix):\n s3_client = boto3.client('s3')\n s3_client.get_paginator('list_objects_v2')\n input_matcher = re.compile(f'^{bucket_prefix}2[0-9][0-9][0-9]-[0-9][0-9][.]json$')\n\n def iterate_bucket(s3_client, bucket_name, bucket_prefix, input_matcher):\n pageinator = s3_client.get_paginator('list_objects_v2')\n\n for page in pageinator.paginate(Bucket=bucket_name, Prefix=bucket_prefix):\n if page['KeyCount'] == 0:\n continue\n\n for item in page['Contents']:\n if input_matcher.match(item['Key']):\n yield item['Key']\n\n latest_key = max(iterate_bucket(s3_client, bucket_name, bucket_prefix, input_matcher))\n print(f'Downloading latest_key file s3://{bucket_name}/{latest_key} ...')\n return json.loads(s3_client.get_object(Bucket=bucket_name, Key=latest_key)['Body'].read())","def s3_get(url, temp_file, proxies=None):\n\ts3_resource = boto3.resource (\"s3\", config=Config (proxies=proxies))\n\tbucket_name, s3_path = split_s3_path (url)\n\ts3_resource.Bucket (bucket_name).download_fileobj (s3_path, temp_file)","def s3s(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['OceanLoggingExportS3Args']]]]:\n return pulumi.get(self, \"s3s\")","def get_object(self, bucket_name, key, stream=False, extra_get_args={}):\n url = self.__key_url(bucket_name, key)\n res = self.infinispan_client.get(url, headers=self.headers, auth=self.basicAuth)\n data = res.content\n return data"],"string":"[\n \"def __retrieve_from_bucket(fname):\\n blob = BUCKET.blob(fname)\\n json_data = json.loads(blob.download_as_string())\\n return json_data\",\n \"def get_amazon_adj_cls_from_s3(s3_resource, bucket_name, prefix='') -> dict:\\n amzn_filename = \\\"AMZN.json\\\"\\n complete_path = os.path.join(prefix, amzn_filename)\\n json_object = s3_resource.Object(bucket_name, complete_path)\\n file_content = json_object.get()['Body'].read().decode('utf-8')\\n json_content = json.loads(file_content)\\n return json_content\",\n \"def load_archives_from_s3(self):\\n s3_bucket = S3Backend(self.conf).bucket\\n try:\\n k = Key(s3_bucket)\\n k.key = self.backup_key\\n\\n return json.loads(k.get_contents_as_string())\\n except S3ResponseError, exc:\\n log.error(exc)\\n return {}\",\n \"def get(self, key):\\n return s3.Object(self.bucket.name, key).get()['Body'].read()\",\n \"def get_google_adj_cls_from_s3(s3_resource, bucket_name, prefix='') -> dict:\\n googl_filename = \\\"GOOGL.json\\\"\\n complete_path = os.path.join(prefix, googl_filename)\\n json_object = s3_resource.Object(bucket_name, complete_path)\\n file_content = json_object.get()['Body'].read().decode('utf-8')\\n json_content = json.loads(file_content)\\n return json_content\",\n \"def read_data_from_s3(self, name, loc):\\n try:\\n filename = loc + name + \\\".json\\\"\\n logger.info('Retrieving the data from the S3 file %s' % filename)\\n return self._retrieve_dict(filename)\\n except Exception as e:\\n logger.error(e)\\n return False\",\n \"async def getStorJSONObj(app, key, bucket=None):\\n\\n client = _getStorageClient(app)\\n if not bucket:\\n bucket = app['bucket_name']\\n if key[0] == '/':\\n key = key[1:] # no leading slash\\n log.info(f\\\"getStorJSONObj({bucket})/{key}\\\")\\n\\n data = await client.get_object(key, bucket=bucket)\\n\\n try:\\n json_dict = json.loads(data.decode('utf8'))\\n except UnicodeDecodeError:\\n log.error(f\\\"Error loading JSON at key: {key}\\\")\\n raise HTTPInternalServerError()\\n\\n log.debug(f\\\"storage key {key} returned: {json_dict}\\\")\\n return json_dict\",\n \"def get_object(self, key):\\n r = self.s3client.get_object(Bucket = self.s3_bucket, Key = key)\\n data = r['Body'].read()\\n return data\",\n \"def get_apple_adj_cls_from_s3(s3_resource, bucket_name, prefix='') -> dict:\\n aapl_filename = \\\"AAPL.json\\\"\\n complete_path = os.path.join(prefix, aapl_filename)\\n json_object = s3_resource.Object(bucket_name, complete_path)\\n file_content = json_object.get()['Body'].read().decode('utf-8')\\n json_content = json.loads(file_content)\\n return json_content\",\n \"def get_from_s3(s3_client, s3_url):\\n url = urlparse(s3_url)\\n\\n # Split the bucket from the key\\n bucket_name = urllib2.unquote(url.netloc).decode('utf8')\\n key_name = urllib2.unquote(url.path[1:]).decode('utf8')\\n\\n # We're done parsing; start doing some S3 ops\\n bucket = s3_client.get_bucket(bucket_name, validate=False)\\n key = bucket.get_key(key_name)\\n return key.get_contents_as_string()\",\n \"def retrieve_s3_contents ( s3_conn, bucket_name, key_name, stored_filename = None ) :\\n bucket = s3_conn.get_bucket( bucket_name )\\n key = boto.s3.key.Key( bucket )\\n key.key = key_name\\n if key.exists( ) :\\n if stored_filename :\\n key.get_contents_to_filename( stored_filename )\\n return stored_filename\\n\\n return key.get_contents_as_string( )\\n\\n return None\",\n \"def get_file_from_s3(bucket_name, file_name, json_parse=True):\\n s3_client = boto3.client('s3')\\n s3_file = s3_client.get_object(Bucket=bucket_name, Key=file_name)\\n try:\\n file_contents = s3_file['Body'].read()\\n if json_parse:\\n file_contents = json.loads(file_contents)\\n except Exception as exc:\\n LOGGER.error('Encountered error reading s3 file')\\n raise exc\\n return file_contents\",\n \"def get_gzipped_s3_objects_from_dict(session, event):\\n return get_s3_objects_from_dict(\\n session, event, default_unzip_s3_object_handler_function\\n )\",\n \"def _get_s3_object(self, s3_path):\\n bucket_name, key = S3Util.get_bucket_and_key(s3_path)\\n return self.s3_resource.Object(bucket_name, key)\",\n \"def s3_read_data(self):\\n\\n self.k.open()\\n self.k.read()\",\n \"def get_s3_object(self, key):\\n try:\\n bucket_name = app.config['S3_BUCKET_NAME']\\n s3_client = app.config['S3']\\n response = s3_client.get_object(Bucket=bucket_name, Key=key)\\n return response['Body'].read()\\n except Exception:\\n return None\",\n \"def json_to_dict(s3_user):\\n try:\\n s3_config = s3_user.get_object(Bucket=\\\"hermes-sharedservices-data\\\", Key=\\\"Lambdas/start-stop/config.json\\\")['Body'].read()\\n logger.info('Fetching config file..')\\n return ast.literal_eval(s3_config)\\n except Exception as error:\\n logger.info(\\\"Reading the config from S3 failed with the following error : {}\\\".format(error))\",\n \"def get_ibm_adj_cls_from_s3(s3_resource, bucket_name, prefix='') -> dict:\\n ibm_filename = \\\"IBM.json\\\"\\n complete_path = os.path.join(prefix, ibm_filename)\\n json_object = s3_resource.Object(bucket_name, complete_path)\\n file_content = json_object.get()['Body'].read().decode('utf-8')\\n json_content = json.loads(file_content)\\n return json_content\",\n \"def get_s3_objects_from_dict(session, event, object_handler_function):\\n\\n objects = []\\n s3 = session.client(\\\"s3\\\")\\n # Get the object from the event and show its content type\\n for record in event.get(\\\"Records\\\", []):\\n bucket = record[\\\"s3\\\"][\\\"bucket\\\"][\\\"name\\\"]\\n unprocessed_key = record[\\\"s3\\\"][\\\"object\\\"][\\\"key\\\"]\\n # urllib changes structure and encoding is different\\n # between python 2 and 3\\n key = (\\n urllib.parse.unquote_plus(unprocessed_key)\\n # if sys.version_info[0] >= 3\\n # else urllib.unquote_plus(unprocessed_key.encode(\\\"utf-8\\\"))\\n )\\n logging.info(\\\"Bucket: %s. Key: %s\\\", bucket, key)\\n\\n # get S3 object and add it to return list\\n response = s3.get_object(Bucket=bucket, Key=key)\\n objects.append(object_handler_function(response))\\n return objects\",\n \"def read_key_s3(self, keyUrl='', bucket=None):\\n \\n if bucket is None:\\n bucket = self.AWS_S3_BUCKET\\n\\n try:\\n\\n fileobj = self.get_s3_client().get_object(\\n Bucket= bucket,\\n Key= keyUrl\\n )\\n readKey = fileobj['Body'].read()\\n # contentObj = readKey.decode('utf-8')\\n\\n return readKey\\n\\n except:\\n time.sleep(1)\\n pass\",\n \"def load_s3_njson(bucket, prefix, key_list, honorary_list):\\n # Get list of files in bucket and with prefix:\\n s3_file_list = list_s3_files(bucket, prefix)\\n \\n # Load data from all files:\\n structured_data = []\\n for s3_file in s3_file_list:\\n structured_data = structured_data + s3_file_to_dict_list(bucket, s3_file, key_list, honorary_list)\\n \\n return structured_data\",\n \"def load_file_aws(file_path, aws_credentials):\\n bucket_engine = S3Bucket(*aws_credentials)\\n return json.loads(\\n gzip.decompress(\\n bucket_engine.read(file_path)\\n ).decode('utf-8')\\n )\",\n \"def get_ratings_from_s3():\\n s3 = boto3.resource('s3', aws_access_key_id=AWS_ACCESS_KEY_ID, aws_secret_access_key=AWS_SECRET_ACCESS_KEY)\\n s3_object = s3.Object(S3_BUCKET_NAME, S3_FILE_NAME)\\n ratings_string = s3_object.get()['Body'].read()\\n rating_string_io = io.BytesIO(ratings_string)\\n ratings_dict_reader = csv.DictReader(rating_string_io)\\n\\n ratings_dict = {}\\n for player in ratings_dict_reader:\\n ratings_dict[player['name']] = int(player['rating'])\\n\\n return ratings_dict\",\n \"def get_s3_content(bucket, key, access_id, access_secret):\\n try:\\n response = s3_client(access_id, access_secret).get_object(Bucket=bucket, Key=key)\\n body = response['Body'].read()\\n return body\\n except ClientError as error:\\n LOGGER.error(error)\\n return None\",\n \"def get_s3_object_text(s3_resource: boto3.session.Session.resource, bucket_name: str, key: str) -> str:\\n obj = s3_resource.Object(bucket_name, key)\\n return obj.get()['Body'].read().decode('utf-8')\",\n \"def load_from_s3(filename):\\n s3 = boto3.client('s3')\\n obj = s3.get_object(Bucket=BUCKET_NAME, Key=S3_PATH.format(filename))\\n return obj['Body'].read().decode()\",\n \"def _read_s3_url(cls, s3_url):\\n\\n parsed_url = urllib.parse.urlparse(s3_url)\\n return cls.s3.get_object(Bucket=parsed_url.netloc,\\n Key=parsed_url.path.lstrip(\\\"/\\\"))[\\\"Body\\\"].read()\",\n \"def get_transcribe_output(key):\\n s3 = boto3.client('s3')\\n\\n obj = s3.get_object(Bucket=os.getenv(\\\"S3_BUCKET\\\"), Key=key)\\n\\n return json.loads(obj[\\\"Body\\\"].read())\",\n \"def get_file_s3(bucket, key):\\n \\n client = boto3.client('s3')\\n return client.get_object(Bucket=bucket, Key=key)['Body'].read().decode('utf-8')\",\n \"def _aws_get_object(bucket, key, request_pays=True, client=None):\\n if not client:\\n session = boto3_session(region_name=REGION)\\n client = session.client(\\\"s3\\\")\\n\\n params = {\\\"Bucket\\\": bucket, \\\"Key\\\": key}\\n if request_pays:\\n params[\\\"RequestPayer\\\"] = \\\"requester\\\"\\n response = client.get_object(**params)\\n return response[\\\"Body\\\"].read()\",\n \"def s3resource(self):\\n return self._s3resource\",\n \"def fetch_config_from_s3(client):\\n try:\\n response = client.assume_role(\\n RoleArn=\\\"arn:aws:iam::548760365095:role/Ec2StartStopLambdaActionRole\\\",\\n RoleSessionName=\\\"Ec2-Start-Stop-Lambda-Session-Role\\\"\\n )\\n fetcher = boto3.client(\\n 's3',\\n aws_access_key_id=response['Credentials']['AccessKeyId'],\\n aws_secret_access_key=response['Credentials']['SecretAccessKey'],\\n aws_session_token=response['Credentials']['SessionToken']\\n )\\n return json_to_dict(fetcher)\\n except Exception as error:\\n logger.info(\\\"Creating a temporary S3 privileged user failed with the following error : {}\\\".format(error))\",\n \"def parse_s3_url(url):\\n parsed_url = urlparse(url)\\n if parsed_url.scheme != \\\"s3\\\":\\n raise ValueError(\\\"S3 URLs must start with 's3://'\\\")\\n\\n bucket = parsed_url.netloc.split(\\\".\\\")[0]\\n key = parsed_url.path.lstrip(\\\"/\\\")\\n\\n return {\\\"bucket\\\": bucket, \\\"key\\\": key}\",\n \"def get_tags(bucket: str, key: str) -> dict:\\n logger.debug(f'Reading tags from s3://{bucket}/{key}')\\n response = client().get_object_tagging(Bucket=bucket, Key=key)\\n return dict((tag['Key'], tag['Value']) for tag in response['TagSet'])\",\n \"def fetch(iid):\\n if AWS_CLIENT_CONFIG and BUCKET_NAME:\\n try:\\n s3 = boto3.resource('s3', **AWS_CLIENT_CONFIG)\\n obj = s3.Bucket(BUCKET_NAME).Object(iid).get()\\n if obj:\\n return obj.get('Body')\\n except botocore.exceptions.ClientError as e:\\n logger.error(e)\\n else:\\n # get locally from temp dir (tests, local development)\\n return get_temp_file(iid)\\n return None\",\n \"def _do_retrieve(bucket_name, key_path, number_retries=DEFAULT_S3_RETRIES):\\n try:\\n return conn.get_object(Bucket=bucket_name, Key=key_path, ResponseContentType='string')\\n except Exception:\\n if number_retries > 0:\\n print(\\\"s3_retrieve failed with incomplete read, retrying on %s\\\" % key_path)\\n return _do_retrieve(bucket_name, key_path, number_retries=number_retries - 1)\\n raise\",\n \"def list_s3_content(bucket, access_id, access_secret, prefix=\\\"\\\"):\\n try:\\n response = s3_client(access_id, access_secret).list_objects(Bucket=bucket, Prefix=prefix)\\n objects = []\\n if response.get(\\\"Contents\\\"):\\n for key in response['Contents']:\\n objects.append(key['Key'])\\n return objects\\n except ClientError as error:\\n LOGGER.error(error)\\n return None\",\n \"def load(self, bucket, key):\\n\\n bucket = self._build_bucket_resource(bucket)\\n\\n with io.BytesIO() as stream:\\n bucket.download_fileobj(key, stream)\\n stream.seek(0)\\n\\n wrapper = io.TextIOWrapper(stream, encoding='utf-8')\\n # Preserve the original order\\n return json.load(wrapper, object_pairs_hook=collections.OrderedDict)\",\n \"def read_s3_file(date):\\n \\\"\\\"\\\" history from S3 \\\"\\\"\\\"\\n bucket = os.getenv(\\\"SPOTIFY_BUCKET_NAME\\\")\\n path = os.getenv(\\\"SPOTIFY_BUCKET_PATH\\\")\\n s3 = boto3.resource('s3')\\n try:\\n s3.Object(bucket, \\\"%s/%s.json\\\" % (path, date)).load()\\n except botocore.exceptions.ClientError as e:\\n logger.info(\\\"No existing history file found for %s, %s\\\" %\\n (date, e.response['Error']['Code']))\\n if e.response['Error']['Code'] == '404':\\n return []\\n else:\\n logger.warning(\\\"Unexpected error code returned!\\\")\\n return []\\n else:\\n logger.info(\\\"Reading history file for %s\\\" % date)\\n content_object = s3.Object(bucket, \\\"%s/%s.json\\\" % (path, date))\\n file_content = content_object.get()['Body'].read().decode('utf-8')\\n json_content = json.loads(file_content)\\n return json_content\",\n \"def default_unzip_s3_object_handler_function(response):\\n bytestream = BytesIO(response[\\\"Body\\\"].read())\\n raw_object = GzipFile(None, \\\"rb\\\", fileobj=bytestream).read()\\n try:\\n # decode if allowed\\n return_object = raw_object.decode(\\\"utf-8\\\")\\n except AttributeError:\\n return_object = raw_object\\n return json.loads(return_object)\",\n \"def get_s3_file(self, no_copy=False):\\n return self.get_file(uri_type=URI_S3, no_copy=no_copy)\",\n \"def get_metadata_body(self):\\n key = self.build_s3_key('datapackage.json')\\n return self.get_s3_object(key)\",\n \"def read_bucket_objects(bucket_name):\\n s3 = boto3.resource('s3')\\n bucket = s3.Bucket(bucket_name)\\n for obj in bucket.objects.all():\\n response = obj.get()\\n body = response['Body'].read().decode('utf-8')\\n print(body)\",\n \"async def getStorObjStats(app, key, bucket=None):\\n # TBD - will need to be refactored to handle azure responses\\n\\n client = _getStorageClient(app)\\n if not bucket:\\n bucket = app['bucket_name']\\n stats = {}\\n\\n if key[0] == '/':\\n #key = key[1:] # no leading slash\\n msg = f\\\"key with leading slash: {key}\\\"\\n log.error(msg)\\n raise KeyError(msg)\\n\\n log.info(f\\\"getStorObjStats({key})\\\")\\n\\n resp = await client.list_keys(bucket=bucket, limit=1, prefix=key)\\n\\n if 'Contents' not in resp:\\n msg = f\\\"key: {key} not found\\\"\\n log.info(msg)\\n raise HTTPInternalServerError()\\n contents = resp['Contents']\\n log.debug(f\\\"storage_contents: {contents}\\\")\\n\\n found = False\\n if len(contents) > 0:\\n item = contents[0]\\n if item[\\\"Key\\\"] == key:\\n # if the key is a S3 folder, the key will be the first object in the folder,\\n # not the requested object\\n found = True\\n if item[\\\"ETag\\\"]:\\n etag = item[\\\"ETag\\\"]\\n if len(etag) > 2 and etag[0] == '\\\"' and etag[-1] == '\\\"':\\n # S3 returning extra quotes around etag?\\n etag = etag[1:-1]\\n stats[\\\"ETag\\\"] = etag\\n else:\\n if \\\"Owner\\\" in item and \\\"ID\\\" in item[\\\"Owner\\\"] and item[\\\"Owner\\\"][\\\"ID\\\"] == \\\"minio\\\":\\n pass # minio is not creating ETags...\\n else:\\n log.warn(f\\\"No ETag for key: {key}\\\")\\n # If no ETAG put in a fake one\\n stats[\\\"ETag\\\"] = \\\"9999\\\"\\n stats[\\\"Size\\\"] = item[\\\"Size\\\"]\\n stats[\\\"LastModified\\\"] = int(item[\\\"LastModified\\\"].timestamp())\\n if not found:\\n msg = f\\\"key: {key} not found\\\"\\n log.info(msg)\\n raise HTTPNotFound()\\n\\n return stats\",\n \"def test_s3_gets_object_content(self):\\n mock_s3 = Mock()\\n mock_s3_object = Mock()\\n s3_response = {'Body': mock_s3_object}\\n mock_s3_object.read.return_value = \\\"file content\\\"\\n mock_s3.get_object.return_value = s3_response\\n\\n s3_bucket = S3Bucket('bucket_name', s3_client=mock_s3)\\n assert s3_bucket.get_content('/file.text') == \\\\\\n 'file content'\",\n \"def read_jsonl_from_s3(s3_path, encoding='utf-8', compressed=False) :\\n bucket, key = s3_path_to_bucket_key(s3_path)\\n obj = s3_resource.Object(bucket, key)\\n text = obj.get()['Body'].read()\\n \\n if compressed:\\n split_text = gzip.decompress(text).decode(encoding).split('\\\\n')\\n else:\\n split_text = text.decode(encoding).split('\\\\n')\\n \\n data = []\\n for t in split_text:\\n data.append(json.loads(t))\\n \\n return data\",\n \"def get_bytes(bucket: str, key: str) -> bytes:\\n logger.debug(f'Reading from s3://{bucket}/{key}')\\n response = client().get_object(Bucket=bucket, Key=key)\\n return response['Body'].read()\",\n \"def save_file_aws(obj, file_path, aws_credentials):\\n bucket_engine = S3Bucket(*aws_credentials)\\n data = gzip.compress(json.dumps(obj).encode('utf-8'))\\n bucket_engine.write(file_path, data)\",\n \"def download_keypair ( s3_infra_conn, aws_account_type, region_name, keypair_type ) :\\n keypair_name = get_keypair_name( aws_account_type, region_name, keypair_type )\\n keypair_bucket = get_admin_bucket_name( region_name = region_name )\\n return retrieve_s3_contents( s3_conn = s3_infra_conn,\\n bucket_name = keypair_bucket,\\n key_name = get_keypair_keypath( aws_account_type ) + get_keypair_keyname( keypair_name ),\\n stored_filename = keypair_name )\",\n \"def get(self, key, file_path=None):\\n log.info('Downloading file (%s) from S3 (%s)' % (key, self.bucket_name))\\n try:\\n k = self.bucket.get_key(key)\\n if k:\\n if file_path:\\n if not os.path.exists(os.path.dirname(file_path)):\\n os.makedirs(os.path.dirname(file_path))\\n k.get_contents_to_filename(file_path)\\n log.info('Download Complete (%s) from S3 (%s)' % (key, self.bucket_name))\\n return True\\n else:\\n return {'key': os.path.basename(key), 'value': k.get_contents_as_string()}\\n else:\\n return False\\n except Exception, e:\\n log.error('Failed to download key (%s) from S3 (%s)' % (key, self.bucket_name), exc_info=True)\\n return False\",\n \"def read_json(self, key):\\n return json.loads(self.get_object(key))\",\n \"def get_gzipped_s3_objects_from_sns_msg_of_dict(session, event):\\n objects = []\\n if _is_s3_notif(event):\\n return get_gzipped_s3_objects_from_dict(session, event)\\n for record in event.get(\\\"Records\\\", []):\\n message = record.get(\\\"Sns\\\", {}).get(\\\"Message\\\")\\n objects.extend(get_gzipped_s3_objects_from_dict(session, json.loads(message)))\\n return objects\",\n \"def s3(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"s3\\\")\",\n \"def read_file(user_id, path):\\n full_path = s3_path + f\\\"/users/{user_id}/\\\" + path\\n list_of_files = bucket.objects.filter(Prefix=full_path)\\n story_dict = {}\\n for obj in list_of_files:\\n key = obj.key\\n body = obj.get()['Body'].read()\\n last_part = key.split(\\\"/\\\")[-1]\\n story_dict[last_part] = body.decode(\\\"utf-8\\\")\\n return story_dict\",\n \"def s3(ctx, bucket_name, data_file, region):\\n ctx.obj['BUCKET_NAME'] = bucket_name\\n ctx.obj['DATA_FILE'] = data_file\\n ctx.obj['TYPE'] = 's3'\\n ctx.obj['REGION'] = region\",\n \"def lambda_handler(event, context):\\n qpmBucket = event['queryStringParameters']['bucket']\\n fn_bucket = list_s3_objects(qpmBucket)\\n print(fn_bucket)\\n \\n \\n return {\\n \\\"statusCode\\\": 200,\\n \\\"body\\\": json.dumps(str(fn_bucket)),\\n }\",\n \"def _retrieve_blob(self, object_key):\\n return self.s3_resource.Object(self.CVE_BUCKET, object_key).get()['Body'].read()\",\n \"def get_config():\\n\\n # Retrieve config from S3\\n config = get_json(BUCKET, CONFIG_S3_KEY)\\n\\n # If config does not currently exist, create a default one and save to S3\\n if not config:\\n config = generate_config()\\n save_config(config)\\n\\n return config\",\n \"def get(self, bucket: str, object_name: str) -> bytes:\\n raise NotImplementedError()\",\n \"def _get_state_file_from_s3(\\n self,\\n state_file_url: str,\\n profile: str = None,\\n region: str = None\\n ) -> Dict[str, Any]:\\n if profile:\\n session = boto3.session.Session(profile_name=profile, region_name=region)\\n else:\\n session = get_boto3_session()\\n s3 = session.resource('s3')\\n parts = state_file_url[5:].split('/')\\n bucket = parts[0]\\n filename = \\\"/\\\".join(parts[1:])\\n key = s3.Object(bucket, filename)\\n try:\\n state_file = key.get()[\\\"Body\\\"].read().decode('utf-8')\\n except botocore.exceptions.ClientError as ex:\\n if ex.response['Error']['Code'] == 'NoSuchKey':\\n raise NoSuchTerraformStateFile(\\\"Could not find Terraform state file {}\\\".format(state_file_url))\\n raise ex\\n return json.loads(state_file)\",\n \"def getS3Object(self, bucket=None, s3Path=None, destPath=None):\\n methodName = \\\"getS3Object\\\"\\n \\n if (not bucket):\\n raise MissingArgumentException(\\\"An S3 bucket name (bucket) must be provided.\\\")\\n #endIf\\n \\n if (not s3Path):\\n raise MissingArgumentException(\\\"An S3 object key (s3Path) must be provided.\\\")\\n #endIf\\n \\n if (not destPath):\\n raise MissingArgumentException(\\\"A file destination path (destPath) must be provided.\\\")\\n #endIf\\n \\n TR.info(methodName, \\\"STARTED download of object: %s from bucket: %s, to: %s\\\" % (s3Path,bucket,destPath))\\n \\n s3url = self.s3.generate_presigned_url(ClientMethod='get_object',Params={'Bucket': bucket, 'Key': s3Path},ExpiresIn=60)\\n TR.fine(methodName,\\\"Getting S3 object with pre-signed URL: %s\\\" % s3url)\\n #endIf\\n \\n destDir = os.path.dirname(destPath)\\n if (not os.path.exists(destDir)):\\n os.makedirs(destDir)\\n TR.info(methodName,\\\"Created object destination directory: %s\\\" % destDir)\\n #endIf\\n \\n r = requests.get(s3url, stream=True)\\n with open(destPath, 'wb') as destFile:\\n shutil.copyfileobj(r.raw, destFile)\\n #endWith\\n\\n TR.info(methodName, \\\"COMPLETED download from bucket: %s, object: %s, to: %s\\\" % (bucket,s3Path,destPath))\\n \\n return destPath\",\n \"def _s3_get_file(url):\\n try:\\n return S3().get_contents_from_url(url)\\n except Exception as e:\\n raise ScrBaseException(\\\"Could not load file from {0}: {1}\\\".format(url, e))\",\n \"def get_s3_keys(bucket, user_keys = None):\\n keys = []\\n if user_keys is None:\\n \\t\\t\\t\\ts3 = boto3.client('s3')\\n else:\\n s3 = boto3.client('s3', \\n aws_access_key_id = user_keys[\\\"AWS_ACCESS_KEY_ID\\\"], \\n aws_secret_access_key = user_keys[\\\"AWS_SECRET_ACCESS_KEY\\\"], \\n region_name = user_keys[\\\"REGION_NAME\\\"]\\n ) \\t \\n \\n resp = s3.list_objects_v2(Bucket= bucket)\\n for obj in resp['Contents']:\\n keys.append(obj['Key'])\\n return keys\",\n \"def s3_download(path):\\n with s3_read(path):\\n # Reading the file will cache the file locally.\\n pass\",\n \"def s3_file_to_dict_list(bucket, path, key_list=None, honorary_keys=None):\\n # Load the content of the file as a string:\\n content = get_file_s3(bucket, path)\\n # Transform the content into a list of dicts:\\n raw_data = load_njson(content)\\n \\n # If it is not a key-value pair, return list of dicts:\\n if key_list == None:\\n structured_data = raw_data\\n \\n # Else, parse into a dict with selected keys:\\n else:\\n data_dict = keyvalue_to_structure(raw_data, key_list)\\n \\n # If there are other entries in raw_data other than 'key' and 'value', extract them here:\\n if honorary_keys != None:\\n for honorary in honorary_keys:\\n data_dict[honorary] = raw_data[0][honorary]\\n \\n structured_data = [data_dict]\\n \\n return structured_data\",\n \"def get_s3_object(self, remote_s3_url):\\n try:\\n _file = tempfile.mkstemp()[1]\\n parsed_s3_path = remote_s3_url.split(\\\"/\\\", 3) # s3://bucket-name/key\\n remote_bucket = parsed_s3_path[2] # Bucket name\\n remote_key = parsed_s3_path[3] # Key\\n self.download_file(remote_bucket, remote_key, _file)\\n return _file\\n except Exception as e:\\n message = {'FILE': __file__.split('/')[-1],\\n 'METHOD': inspect.stack()[0][3], 'EXCEPTION': str(e)}\\n self.logger.exception(message)\\n raise\",\n \"def get_s3_object(bucket, key_name, local_file):\\n\\n tracer.put_metadata('object', f's3://{bucket}/{key_name}')\\n\\n try:\\n s3_resource.Bucket(bucket).download_file(key_name, local_file)\\n result = 'ok'\\n tracer.put_annotation('OBJECT_DOWNLOAD', 'SUCCESS')\\n except botocore.exceptions.ClientError as e:\\n tracer.put_annotation('OBJECT_DOWNLOAD', 'FAILURE')\\n if e.response['Error']['Code'] == '404':\\n result = f'Error: s3://{bucket}/{key_name} does not exist'\\n else:\\n result = f'Error: {str(e)}'\\n\\n return(result)\",\n \"def get_s3_client():\\n return boto3.resource('s3')\",\n \"def s3_retrieve(key_path, study_object_id, raw_path=False, number_retries=DEFAULT_S3_RETRIES):\\n if not raw_path:\\n key_path = study_object_id + \\\"/\\\" + key_path\\n encrypted_data = _do_retrieve(S3_BUCKET, key_path, number_retries=number_retries)['Body'].read()\\n return encryption.decrypt_server(encrypted_data, study_object_id)\",\n \"def get_file_text_from_s3_bucket_and_key(s3_file_url_dict, s3_boto):\\n\\tfile_texts = {}\\n\\tfor s3_url, s3_ref in s3_file_url_dict.items():\\n\\t\\tif \\\"bucket\\\" not in s3_ref:\\n\\t\\t\\traise ValueError(\\\"bucket key not in s3_ref: \\\" + str(s3_ref))\\n\\t\\tif \\\"key\\\" not in s3_ref:\\n\\t\\t\\traise ValueError(\\\"key key not in s3_ref: \\\" + str(s3_ref))\\n\\t\\tbucket_name = s3_ref[\\\"bucket\\\"]\\n\\t\\tkey = s3_ref[\\\"key\\\"]\\n\\t\\ttry:\\n\\t\\t\\tobj = s3_boto.Object(bucket_name, key)\\n\\t\\t\\tfile_contents = obj.get()['Body'].read().decode('utf-8') \\t\\n\\t\\t\\tfile_texts[s3_url] = file_contents\\n\\t\\texcept Exception as e:\\n\\t\\t\\texc_type, exc_value, exc_traceback = sys.exc_info()\\n\\t\\t\\tif str(exc_type) == \\\"<class 'botocore.errorfactory.NoSuchKey'>\\\":\\n\\t\\t\\t\\t# given the distributed nature of the Lambdas, the requested key might not exist. Set file text to \\\"\\\"\\n\\t\\t\\t\\t# leave that file out of the dictionary\\n\\t\\t\\t\\tlog = structlog.get_logger()\\n\\t\\t\\t\\tlog.warning(\\\"Warning: can't find \\\" + bucket_name + \\\"/\\\" + key )\\n\\t\\t\\telse:\\n\\t\\t\\t\\traise(e)\\n\\treturn file_texts\",\n \"def boto_init_s3(bucket_name):\\n c = boto.connect_s3(aws_access_key_id=settings.AWS_ACCESS_KEY_ID,\\n aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY)\\n b = c.get_bucket(bucket_name)\\n\\n return b\",\n \"def _get_usofa_data(bucketname):\\n client = boto3.client('s3')\\n result = client.get_object(Bucket=bucketname, Key='accounts.json')\\n return json.loads(result['Body'].read().decode('utf-8'))\",\n \"def get_files_from_s3_lambda_event(event):\\n\\tfiles_found = {}\\n\\n\\tif \\\"Records\\\" not in event:\\n\\t\\traise ValueError(\\\"Records key not in event\\\")\\n\\n\\tcount = 0\\n\\tfor record in event[\\\"Records\\\"]:\\n\\t\\tcount = count + 1\\n\\t\\tkey = record[\\\"s3\\\"][\\\"object\\\"][\\\"key\\\"]\\n\\t\\tbucket_arn = record[\\\"s3\\\"][\\\"bucket\\\"][\\\"arn\\\"]\\n\\t\\tbucket_name = get_bucket_name_from_arn(bucket_arn)\\n\\t\\tfile_url = get_bucket_file_url(bucket_name, key)\\n\\t\\tfiles_found[file_url] = {\\\"bucket\\\" : bucket_name, \\\"key\\\" : key}\\n\\treturn files_found\",\n \"def s3_data_conn ( self ) :\\n if not self.s3_data :\\n self.s3_data = boto.s3.connection.S3Connection( self.access_key, self.access_key_secret )\\n return self.s3_data\",\n \"def ListFiles(s3):\\n response = s3.list_objects(Bucket='mynewbucket123')\\n for content in response.get('Contents', []):\\n yield content.get('Key')\",\n \"def download_json_metadata_from_s3(bucket_name, prefix=\\\"\\\", num_threads=20):\\n\\n # simple method for threads to pull from a queue and download JSON files\\n def download_object(queue):\\n while True:\\n obj = queue.get()\\n if obj is None:\\n break\\n obj.Object().download_file(obj.key.replace(prefix, ''))\\n queue.task_done()\\n\\n # create a directory to store downloaded metadata\\n cwd = Path.cwd()\\n data_dir = cwd / 'data'\\n json_dir = data_dir / 'json'\\n # try:\\n os.makedirs(json_dir, exist_ok=True)\\n # except FileExistsError:\\n # shutil.rmtree(json_dir)\\n # os.makedirs(json_dir)\\n os.chdir(json_dir)\\n\\n # create a queue for objects that need to be downloaded\\n # and spawn threads to download them concurrently\\n download_queue = Queue(maxsize=0)\\n workers = []\\n for worker in range(num_threads):\\n worker = Thread(target=download_object, args=(download_queue, ))\\n worker.setDaemon(True)\\n worker.start()\\n workers.append(worker)\\n\\n # loop through the files in the bucket and filter for JSON metadata\\n # files for only labeled images; add them to the queue\\n s3 = boto3.resource(\\\"s3\\\")\\n bucket = s3.Bucket(bucket_name)\\n for obj in bucket.objects.filter(Prefix=prefix):\\n if obj.key.endswith(\\\"meta.json\\\"):\\n download_queue.put(obj)\\n\\n # wait for the queue to be empty, then join all threads\\n download_queue.join()\\n for _ in range(num_threads):\\n download_queue.put(None)\\n for worker in workers:\\n worker.join()\\n\\n os.chdir(cwd)\",\n \"def from_s3(cls, bucket_name, mos_file_key):\\n xml = s3.get_file_contents(bucket_name, mos_file_key)\\n return cls.from_string(xml)\",\n \"def s3(self) -> Optional['outputs.DataRepositoryAssociationS3']:\\n return pulumi.get(self, \\\"s3\\\")\",\n \"def _s3_stash(self):\\n s3_url = 's3://{}/{}'.format(BUCKET, self.atom_file)\\n bucketpath = BUCKET.strip(\\\"/\\\")\\n bucketbase = BUCKET.split(\\\"/\\\")[0]\\n parts = urlparse.urlsplit(s3_url)\\n mimetype = 'application/xml' \\n \\n conn = boto.connect_s3()\\n\\n try:\\n bucket = conn.get_bucket(bucketbase)\\n except boto.exception.S3ResponseError:\\n bucket = conn.create_bucket(bucketbase)\\n self.logger.info(\\\"Created S3 bucket {}\\\".format(bucketbase))\\n\\n if not(bucket.get_key(parts.path)):\\n key = bucket.new_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"created {0}\\\".format(s3_url)\\n self.logger.info(msg)\\n else:\\n key = bucket.get_key(parts.path)\\n key.set_metadata(\\\"Content-Type\\\", mimetype)\\n key.set_contents_from_filename(self.atom_file)\\n msg = \\\"re-uploaded {}\\\".format(s3_url)\\n self.logger.info(msg)\",\n \"def sync_to_bucket(s3_url,\\n region='eu-west-1',\\n profile_name=None):\\n\\n parsed_s3_url = urlparse.urlparse(s3_url);\\n\\n bucket_name = parsed_s3_url.hostname;\\n key_prefix = parsed_s3_url.path;\\n if key_prefix[0] == '/':\\n key_prefix = key_prefix[1:]\\n if key_prefix[-1] != '/':\\n key_prefix = key_prefix + '/'\\n\\n def inner(fn_inner):\\n \\\"\\\"\\\"\\n Decorator function function sent in should be having signature\\n func(None,None, XmlDoc) and should yield JSON document one for\\n each file that should be persisted to S3\\n \\\"\\\"\\\"\\n\\n def handler(event, context):\\n \\\"\\\"\\\"\\n The AWS Lambda Entry Point\\n \\\"\\\"\\\"\\n s3conn = s3.connect_to_region(region, profile_name=profile_name)\\n bucket = s3conn.get_bucket(bucket_name)\\n\\n # Use a map to track keys that are no longer in the feed, used for deletion\\n remaining_keys = { key.name : True for key in bucket.list(prefix=key_prefix)}\\n\\n logger.debug(\\\"Existing keys in bucket\\\\n%s\\\", '\\\\n'.join(remaining_keys));\\n\\n for id, json_data in fn_inner():\\n key_name = key_prefix + str(uuid.uuid5(uuid.NAMESPACE_URL, id.encode('utf-8')))\\n\\n # Key found, delete it from cleanup map\\n if key_name in remaining_keys:\\n del remaining_keys[key_name]\\n\\n string_data = json.dumps(json_data)\\n s3_object = bucket.get_key(key_name)\\n if s3_object == None:\\n key = bucket.new_key(key_name);\\n key.set_contents_from_string(string_data)\\n logger.info('Creating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n else:\\n if s3_object.etag[1:len(s3_object.etag)-1] != s3etag.from_string(string_data):\\n logger.info('Updating:\\\\ts3://%s/%s', bucket_name, key_name)\\n logger.debug(string_data)\\n s3_object.set_contents_from_string(string_data)\\n else:\\n logger.info('Same:\\\\ts3://%s/%s', bucket_name, key_name);\\n logger.debug(string_data)\\n\\n # Remvoe remaining keys from the bucket to allow for cleanup\\n for key in remaining_keys:\\n logger.info('Removing:\\\\ts3://%s/%s', bucket_name, key);\\n bucket.delete_key(key);\\n\\n logger.info('Done');\\n\\n return handler\\n\\n return inner\",\n \"def s3_get(url, temp_file):\\n s3_resource = boto3.resource(\\\"s3\\\")\\n bucket_name, s3_path = split_s3_path(url)\\n s3_resource.Bucket(bucket_name).download_fileobj(s3_path, temp_file)\",\n \"def s3_get(url, temp_file):\\n s3_resource = boto3.resource(\\\"s3\\\")\\n bucket_name, s3_path = split_s3_path(url)\\n s3_resource.Bucket(bucket_name).download_fileobj(s3_path, temp_file)\",\n \"def dump_job_data(s3, bucket, key, ecosystem, package, version):\\n data = s3.read_object(bucket, key)\\n timestamp_str = datetime.datetime.utcnow().strftime(\\\"%Y-%m-%dT%H:%M:%S.%f\\\")\\n filename = \\\"s3_data_{e}_{p}_{v}_{t}.json\\\".format(e=ecosystem,\\n p=package,\\n v=version,\\n t=timestamp_str)\\n with open(filename, 'w') as fout:\\n json.dump(data, fout)\",\n \"def get_geoid_dict() -> dict:\\n geoid_dict = GEOID_PATHS_AGI\\n\\n resp = requests.head(S3_URL)\\n if resp.status_code == 200:\\n geoid_dict = GEOID_PATHS_JPL\\n\\n return geoid_dict.copy()\",\n \"def get_text(bucket, key):\\n s3 = boto3.resource(\\\"s3\\\")\\n\\n ocr_obj = s3.Object(bucket, key)\\n response = ocr_obj.get()\\n data = response[\\\"Body\\\"].read()\\n\\n return data\",\n \"def read_object(self, bucket_name, object_name, offset=0, size=0):\\n\\n data, done = h3lib.read_object(self._handle, bucket_name, object_name, offset, size, self._user_id)\\n if data is None:\\n data = b''\\n return H3Bytes(data, done=done)\",\n \"def read_s3_file(bucket, key):\\r\\n try:\\r\\n s_3 = boto3.client('s3')\\r\\n file = s_3.get_object(Bucket=bucket, Key=key)\\r\\n file_body = file['Body'].read().decode(\\\"utf-8\\\")\\r\\n return file_body\\r\\n\\r\\n except (FileNotFoundError, IndexError, SystemExit, OSError, IOError) as err:\\r\\n print(\\\"Error in reading file\\\", str(err))\\r\\n return \\\"\\\"\",\n \"def store_json_content(self, content, obj_key):\\n try:\\n logger.info('Storing the data into the S3 file %s' % obj_key)\\n self.s3_resource.Object(self.CVE_BUCKET, obj_key).put(\\n Body=json.dumps(content, indent=2).encode('utf-8'))\\n except Exception as e:\\n logger.exception('%r' % e)\",\n \"def get_pickle_from_s3(path):\\n return load_pickle_from_s3(*load_bucket_and_path(path))\",\n \"def mock_state(self):\\n if self.name in self.connection.mock_s3_fs:\\n return self.connection.mock_s3_fs[self.name]['keys']\\n else:\\n raise boto.exception.S3ResponseError(404, 'Not Found')\",\n \"def load_pickle_from_s3(bucket, path):\\n pkl = get_from_s3(bucket, path)\\n try:\\n return pickle.loads(pkl, encoding='utf-8') # python3\\n except TypeError:\\n return pickle.loads(pkl) # python2\",\n \"def _get_s3_key():\\n\\n key = __opts__[\\\"s3.key\\\"] if \\\"s3.key\\\" in __opts__ else None\\n keyid = __opts__[\\\"s3.keyid\\\"] if \\\"s3.keyid\\\" in __opts__ else None\\n service_url = __opts__[\\\"s3.service_url\\\"] if \\\"s3.service_url\\\" in __opts__ else None\\n verify_ssl = __opts__[\\\"s3.verify_ssl\\\"] if \\\"s3.verify_ssl\\\" in __opts__ else None\\n kms_keyid = __opts__[\\\"aws.kmw.keyid\\\"] if \\\"aws.kms.keyid\\\" in __opts__ else None\\n location = __opts__[\\\"s3.location\\\"] if \\\"s3.location\\\" in __opts__ else None\\n path_style = __opts__[\\\"s3.path_style\\\"] if \\\"s3.path_style\\\" in __opts__ else None\\n https_enable = (\\n __opts__[\\\"s3.https_enable\\\"] if \\\"s3.https_enable\\\" in __opts__ else None\\n )\\n\\n return (\\n key,\\n keyid,\\n service_url,\\n verify_ssl,\\n kms_keyid,\\n location,\\n path_style,\\n https_enable,\\n )\",\n \"def read_mock_data(self):\\n if self.name in self.bucket.mock_state():\\n return self.bucket.mock_state()[self.name][0]\\n else:\\n raise boto.exception.S3ResponseError(404, 'Not Found')\",\n \"def readFileFromS3(self, keyname, path):\\n try:\\n k = Key(self.BUCKET)\\n k.key = keyname\\n k.get_contents_to_filename(path)\\n return True\\n except IOError:\\n return False\",\n \"async def putStorJSONObj(app, key, json_obj, bucket=None):\\n\\n client = _getStorageClient(app)\\n if not bucket:\\n bucket = app['bucket_name']\\n if key[0] == '/':\\n key = key[1:] # no leading slash\\n log.info(f\\\"putS3JSONObj({bucket}/{key})\\\")\\n data = json.dumps(json_obj)\\n data = data.encode('utf8')\\n\\n rsp = await client.put_object(key, data, bucket=bucket)\\n\\n return rsp\",\n \"def list_public_s3_objects(self):\\n _response = urllib.urlopen(self.options.s3_bucket_url)\\n _html = _response.read()\\n\\n if LOCAL_DEBUG:\\n print _html\\n\\n try:\\n assert \\\"AccessDenied\\\" not in _html\\n assert \\\"NoSuchBucket\\\" not in _html\\n except:\\n print(\\\"ERROR: AccessDenied or NoSuchBucket for {}\\\".format(self.options.s3_bucket_url))\\n raise\",\n \"def download_privacy_score(bucket_name, bucket_prefix):\\n s3_client = boto3.client('s3')\\n s3_client.get_paginator('list_objects_v2')\\n input_matcher = re.compile(f'^{bucket_prefix}2[0-9][0-9][0-9]-[0-9][0-9][.]json$')\\n\\n def iterate_bucket(s3_client, bucket_name, bucket_prefix, input_matcher):\\n pageinator = s3_client.get_paginator('list_objects_v2')\\n\\n for page in pageinator.paginate(Bucket=bucket_name, Prefix=bucket_prefix):\\n if page['KeyCount'] == 0:\\n continue\\n\\n for item in page['Contents']:\\n if input_matcher.match(item['Key']):\\n yield item['Key']\\n\\n latest_key = max(iterate_bucket(s3_client, bucket_name, bucket_prefix, input_matcher))\\n print(f'Downloading latest_key file s3://{bucket_name}/{latest_key} ...')\\n return json.loads(s3_client.get_object(Bucket=bucket_name, Key=latest_key)['Body'].read())\",\n \"def s3_get(url, temp_file, proxies=None):\\n\\ts3_resource = boto3.resource (\\\"s3\\\", config=Config (proxies=proxies))\\n\\tbucket_name, s3_path = split_s3_path (url)\\n\\ts3_resource.Bucket (bucket_name).download_fileobj (s3_path, temp_file)\",\n \"def s3s(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['OceanLoggingExportS3Args']]]]:\\n return pulumi.get(self, \\\"s3s\\\")\",\n \"def get_object(self, bucket_name, key, stream=False, extra_get_args={}):\\n url = self.__key_url(bucket_name, key)\\n res = self.infinispan_client.get(url, headers=self.headers, auth=self.basicAuth)\\n data = res.content\\n return data\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7405809","0.7002301","0.6989927","0.6943178","0.68357503","0.6811579","0.6775019","0.6765076","0.67535394","0.67111343","0.66732424","0.6659228","0.6640712","0.663355","0.6630252","0.65800554","0.6568119","0.64453495","0.642794","0.6390214","0.6329198","0.6327125","0.6278347","0.6264425","0.6256449","0.6248824","0.62301064","0.6218822","0.616473","0.61396843","0.61347175","0.61171407","0.6116147","0.611339","0.6112332","0.61022735","0.6084468","0.6078141","0.60588175","0.6048881","0.60477763","0.6041454","0.6008531","0.5963466","0.595922","0.5945784","0.5938254","0.58864856","0.5880118","0.5874088","0.5868909","0.5868052","0.58456683","0.58444875","0.5844042","0.583964","0.58358175","0.5831562","0.58231884","0.5822435","0.58078337","0.5782449","0.57751095","0.5771945","0.5752974","0.5744228","0.5743905","0.5728484","0.57278454","0.57266486","0.571978","0.5718992","0.5711675","0.56777424","0.5673964","0.5670319","0.5663103","0.5653949","0.5649788","0.56443125","0.56336546","0.56336546","0.56257546","0.5624487","0.5618848","0.56131625","0.5603163","0.5591725","0.5576728","0.5563515","0.5561666","0.5554501","0.5541612","0.55360115","0.5533882","0.5512042","0.55011445","0.5499978","0.54995626","0.5486005"],"string":"[\n \"0.7405809\",\n \"0.7002301\",\n \"0.6989927\",\n \"0.6943178\",\n \"0.68357503\",\n \"0.6811579\",\n \"0.6775019\",\n \"0.6765076\",\n \"0.67535394\",\n \"0.67111343\",\n \"0.66732424\",\n \"0.6659228\",\n \"0.6640712\",\n \"0.663355\",\n \"0.6630252\",\n \"0.65800554\",\n \"0.6568119\",\n \"0.64453495\",\n \"0.642794\",\n \"0.6390214\",\n \"0.6329198\",\n \"0.6327125\",\n \"0.6278347\",\n \"0.6264425\",\n \"0.6256449\",\n \"0.6248824\",\n \"0.62301064\",\n \"0.6218822\",\n \"0.616473\",\n \"0.61396843\",\n \"0.61347175\",\n \"0.61171407\",\n \"0.6116147\",\n \"0.611339\",\n \"0.6112332\",\n \"0.61022735\",\n \"0.6084468\",\n \"0.6078141\",\n \"0.60588175\",\n \"0.6048881\",\n \"0.60477763\",\n \"0.6041454\",\n \"0.6008531\",\n \"0.5963466\",\n \"0.595922\",\n \"0.5945784\",\n \"0.5938254\",\n \"0.58864856\",\n \"0.5880118\",\n \"0.5874088\",\n \"0.5868909\",\n \"0.5868052\",\n \"0.58456683\",\n \"0.58444875\",\n \"0.5844042\",\n \"0.583964\",\n \"0.58358175\",\n \"0.5831562\",\n \"0.58231884\",\n \"0.5822435\",\n \"0.58078337\",\n \"0.5782449\",\n \"0.57751095\",\n \"0.5771945\",\n \"0.5752974\",\n \"0.5744228\",\n \"0.5743905\",\n \"0.5728484\",\n \"0.57278454\",\n \"0.57266486\",\n \"0.571978\",\n \"0.5718992\",\n \"0.5711675\",\n \"0.56777424\",\n \"0.5673964\",\n \"0.5670319\",\n \"0.5663103\",\n \"0.5653949\",\n \"0.5649788\",\n \"0.56443125\",\n \"0.56336546\",\n \"0.56336546\",\n \"0.56257546\",\n \"0.5624487\",\n \"0.5618848\",\n \"0.56131625\",\n \"0.5603163\",\n \"0.5591725\",\n \"0.5576728\",\n \"0.5563515\",\n \"0.5561666\",\n \"0.5554501\",\n \"0.5541612\",\n \"0.55360115\",\n \"0.5533882\",\n \"0.5512042\",\n \"0.55011445\",\n \"0.5499978\",\n \"0.54995626\",\n \"0.5486005\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6381734"},"document_rank":{"kind":"string","value":"20"}}},{"rowIdx":89999,"cells":{"query":{"kind":"string","value":"Retrieve remote object content."},"document":{"kind":"string","value":"def _retrieve_blob(self, object_key):\n return self.s3_resource.Object(self.CVE_BUCKET, object_key).get()['Body'].read()"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def getObject(self):\n # try getting the remote object by unique id\n remote_obj = self._getObjectByUid()\n if remote_obj is not None:\n return remote_obj\n\n utool = getUtility(IURLTool)\n return utool.getPortalObject().restrictedTraverse(self.remote_url)","def get_remote_content(self, path):\n if path.startswith(\"http\"):\n page_path = path\n elif path.startswith(\"www\"):\n page_path = \"https://\" + path\n else:\n page_path = self.source + path\n \n print(\"Getting \" + page_path)\n \n try:\n resp = requests.get(page_path)\n except:\n print(\"Unable to get \" + page_path)\n return None\n \n if resp.status_code == 200:\n return resp.content\n else:\n print(\"Unable to get \" + page_path + \" Response = \" + str(resp.status_code))\n return None","def get(self, obj):","def current_content(self):\n return self.host.open(self.remote_path, 'rb', use_sudo=self.use_sudo).read()","def get_content_object(self, **kwargs):\r\n return self.content_object","def get_for_object(self, content_object, **kwargs):\r\n return self.get(**self._generate_object_kwarg_dict(content_object, **kwargs))","def fetch(self, remote, *args):\n return self.cmd('fetch', remote, *args)","def _get(conn, remote_file, bucket_name=BUCKET_NAME):\n contents = None\n try:\n reply = conn.get(bucket_name, remote_file)\n contents = reply.body\n if reply.http_response.status != 200:\n print 'Failed to fetch current_remote metadata'\n contents = None\n except:\n contents = None\n return contents","def get(self, obj):\n raise NotImplementedError","def get_content_object(self):\r\n return self.content_object","def get_contents(self):\n return self.contents","def remote(self, *args, **kwargs):\n return self.api.remote(*args, **kwargs)","def get_object(self, oid):\n return self.request('get', safeformat('registry/objects/{:int}', oid))","def getContent(self) -> object:\n ...","def getObject(self):\n return self.base.get(\"object\", [])","def retrieve_content(self, url):\n page = requests.get(url)\n content = page.content\n return content","def get_object(self, account, container, object):\n \n node = {'zone': 3, 'weight': 100.0, 'ip': self.address, \n 'id': 3, 'meta': '', 'device': 'sda6', 'port': self.port}\n \n headers = dict()\n partition = self.__get_partition__(account, container, object, self.part_shift)\n \n path = \"/%s/%s/%s\" % (account, container, object)\n method = \"GET\"\n conn = http_connect(node['ip'], node['port'],#class\n node['device'], partition, method, path,\n #headers=headers,\n #query_string=''\n )\n \n resp = conn.getresponse()\n status = resp.status\n headers = resp.getheaders()\n content = resp.read()\n\n return (status, headers, content)#http's return value, headers contain more information and could be verified later, content is the file content.","def _get_subclient_content_(self):\r\n return self.content","def get_content(self):\n return self.__response.content","def fetchContent(self):\n print 'fetching page by its path: '+ self.path\n uri = '%s?path=%s' % (self.client.MakeContentFeedUri(), self.path)\n # get the content feed\n feed = self.client.GetContentFeed(uri=uri)\n # take out the content\n self.entry = feed.get_webpages()[0]","def get_content(self):\n return self.content","def get_object(self, id, **args):\n return self.request(\"{0}/{1}\".format(self.version, id), args)","def fetch(self, object_ids):\n return libplasma.fetch(self.conn, object_ids)","def get_contents(self):\n with closing(self.open()) as handle:\n return handle.read()","def get_object(self, id, **args):\n return self.request(id, args)","def fetch(self):\n pass","def fetch(self):\n pass","def GetDataAsObject(self):","def get(self):\n\t\treturn self.connection.get(self.base_uri)","def get(self, url):\n return json.loads(self.as_source.urlopen(url).read())","def content(self):\r\n return self.listing_obj","def get_object(self):\n return self._object","def getRemoteObjectByUid( self, remote ):\n obj = None\n if not remote: return None\n if type(remote) is DictType:\n try: remote_uid = remote['uid']\n except: remote_uid = None\n if remote_uid:\n obj = self.getObjectByUid( remote_uid )\n else:\n obj = self.getObjectByUid( remote )\n return obj","def fetch(self):\n if not self.__class__.handler:\n raise IcebergNoHandlerError()\n\n data = self.__class__.handler.request(self.resource_uri)\n\n return self._load_attributes_from_response(**data)","def _fetch_current_remote_metadata(conn):\n content = _get(conn, REMOTE_METADATA_FILE)\n metadata = json.loads(content) if content else {}\n return metadata","def fetch(self):\n raise NotImplementedError()","def httpGet(self, url='', data='', params={}, headers={}):\n\n reply = self.httpRequest('GET', url, data, params, headers)\n return _WebObject(reply.json())","def getObject(self, resource):\n resource = self.parseUrl(resource, 'objects')\n\n res = self.getRequest(resource)\n obj = vsdModels.APIObject._create(res)\n return obj","def _get(self, request_obj):\n return self._execute_action(request_obj, 'GET')","def obj(self):\n if not self._obj:\n self._get()\n return self._obj","def on_get_resource(self, req, resp, **params):\n instance = self.get_object(**params)\n resp.json(**instance.as_resource)","def get_object ( self, object ):\n return object","def remote_get(name, src):\n raise NotImplementedError('derived class should overload me')","def fetch(self) -> None:\n pass","def _getObjectByUid(self):\n # check for unique id handler tool\n if not PRODUCTS_CMFUID_INSTALLED:\n return\n uidtool = queryUtility(IUniqueIdHandler)\n if uidtool is None:\n return\n\n # check for remote uid info on object\n uid = getattr(aq_base(self), 'remote_uid', None)\n if uid is None:\n return\n\n return uidtool.queryObject(uid, None)","def read_object(self, object_id: str) -> Any:\n return self.objects[object_id]","def get_raw_data(self):\n return self.content","def getObject(self):\n parent = aq_parent(self)\n obj = None\n try:\n obj = parent.unrestrictedTraverse(self.getPath()) \n except:\n log.error(\"Unable to get object from brain. Path: {0}. Catalog may be out of sync.\".format(self._result.uid))\n return obj","def retrieve(self):\n pass","async def get(self):\n raise NotImplementedError()","def get_object_contents(key):\n if key is None or key == \"\":\n r = jsonify(message=\"Not all required params are present\", success=False, status_code=400)\n r.status_code = 400\n return r\n\n contents = cache_utils.get(key)\n return Response(contents)","def get_object(selenium, obj):\n return _get_ui_service(selenium, obj).get_obj_from_info_page(obj)","def get(self, object_id):\n try:\n return self.get_resource(object_id)\n except self._connection_errors:\n pass\n try:\n return self.get_package(object_id)\n except self._connection_errors:\n raise","def get(self):\n return self.get_data()","def get_model(self):\n url = self.resource()\n params = {'data': ''}\n resp = self._client.get(url, params=params)\n\n return resp.text","def get_objects_data(self):\n pass","def get_content_from_ulr(self):\n response = urllib.request.urlopen(self.url)\n if response.getcode() != 200:\n self.logger.info(\"Cisco - get_content_from_url()\")\n raise ConnectionError('Unable to load ', self.url)\n content = response.read()\n response.close()\n return content","def extract(self):\n\n self.decode(CMS_object.extract(self))\n return self.get_content()","def get_content(self) -> Content:\n pass","async def update(self):\n\t\tstate = await self._client.get_state('command.cgi?cmd=getObject&oid={0}&ot={1}'.format(self._oid,self._ot))\n\t\tif state is not None:\n\t\t\tself._raw_result = state","async def get(self):\n\n pass","def obj(self):\r\n return self._obj","def do_fetch(self):\n pass","def GetContent(self):\n random_header = random.choice(self.my_headers)\n req = urllib2.Request(self.url)\n req.add_header(\"User-Agent\", random_header)\n req.add_header(\"Host\", self.host)\n req.add_header(\"Referer\", self.referer)\n req.add_header(\"GET\", self.url)\n try:\n html = urllib2.urlopen(req)\n content = html.read()\n# print html.info()\n html.close()\n return content\n except:\n print \"Something wrong is happening in get_content!\"","def remote(self, *arguments, **kwargs):\n return self.get_output('remote', *arguments, **kwargs)","def get(self):\r\n return http.Request('GET', self.get_url()), parsers.parse_json","def get(self):\r\n return http.Request('GET', self.get_url()), parsers.parse_json","def get(self, objectclass, **kwargs):\n raise NotImplementedError","def get_object2(self, mpath, path=None, accept=\"*/*\"):\n log.debug('GetObject %r', mpath)\n headers = {\n \"Accept\": accept\n }\n\n res, content = self._request(mpath, \"GET\", headers=headers)\n if res[\"status\"] not in (\"200\", \"304\"):\n raise errors.MantaAPIError(res, content)\n if len(content) != int(res[\"content-length\"]):\n raise errors.MantaError(\"content-length mismatch: expected %d, \"\n \"got %s\" % (res[\"content-length\"], content))\n if res.get(\"content-md5\"):\n md5 = hashlib.md5(content)\n content_md5 = base64.b64encode(md5.digest())\n if content_md5 != res[\"content-md5\"]:\n raise errors.MantaError(\"content-md5 mismatch: expected %d, \"\n \"got %s\" % (res[\"content-md5\"], content_md5))\n if path is not None:\n f = open(path, 'wb')\n try:\n f.write(content)\n finally:\n f.close()\n return (res, None)\n else:\n return (res, content)","def obj(self):\n return self._obj","def get_object(self, key):\n try:\n return self.client.get_object(Bucket=self.bucket, Key=key)['Body'].read().decode('utf-8')\n except:\n return None","def content (self):\n return self.__content","def get_object(id):","def object_get(self, request):\n _view = _object_view(self, request)\n queried = ObjectPostings(self.cdb_object_id, request.params.mixed()).query()\n postings = [request.view(obj) for obj in queried[0]]\n\n _view.update({\n \"postings\": postings,\n \"result_complete\": queried[1]\n })\n return _view","def fetch(url, user_agent=\"django-oembed/0.1\"):\r\n request = urllib2.Request(url)\r\n request.add_header('User-Agent', user_agent)\r\n request.add_header('Accept-Encoding', 'gzip')\r\n opener = urllib2.build_opener()\r\n f = opener.open(request)\r\n result = f.read()\r\n if f.headers.get('content-encoding', '') == 'gzip':\r\n result = gzip.GzipFile(fileobj=StringIO(result)).read()\r\n f.close()\r\n return result","def get_object(self, container_name, object_name, download_path):\n obj = self.client.get_object(container_name, object_name)\n with open(download_path + object_name, 'w') as test_file:\n test_file.write(obj[1])\n return True","def GET(self):\n content = requests.get(self._url)\n if content.status_code != 200:\n print(\"There was a problem with the get request. Error code is: %s.\" % content.status_code)\n return False\n else:\n print(\"The status code is %s.\" % content.status_code)\n return content","def get_content(self) -> dict:\n return self.__content","def contents(self):\n if not hasattr(self, \"_content\"):\n self._content = self.get_content()\n return self._content","def get(self):\r\n return self.data","def get_content_by_id_get(self, head, id, locale):\n # TODO: Assuming first server is good - need to make fallback logic\n return self.session.get_any(\"{base}{request_url}\".format(base=self.servers[0],\n request_url=F\"/Content/GetContentById/{id}/{locale}/\"))","def get_object(\n self, object_t, object_id=None, relation=None, parent=None, **params\n ):\n url = self.object_url(object_t, object_id, relation)\n params = params or {}\n if self.access_token is not None:\n params[\"access_token\"] = str(self.access_token)\n response = self.session.get(url, params=params)\n json_data = response.json()\n if \"error\" in json_data:\n raise ValueError(\n f\"API request return error for object: {object_t} id: {object_id}\"\n )\n return self._process_json(json_data, parent)","def fetch_data(self):","def object(self):\n return self._object","def retrieve(\n self, custom_headers=None, raw=False, **operation_config):\n # Construct URL\n url = self.retrieve.metadata['url']\n\n # Construct parameters\n query_parameters = {}\n\n # Construct headers\n header_parameters = {}\n header_parameters['Accept'] = 'application/json'\n if custom_headers:\n header_parameters.update(custom_headers)\n\n # Construct and send request\n request = self._client.get(url, query_parameters, header_parameters)\n response = self._client.send(request, stream=False, **operation_config)\n\n if response.status_code not in [200]:\n raise HttpOperationError(self._deserialize, response)\n\n deserialized = None\n\n if response.status_code == 200:\n deserialized = self._deserialize('ContainerModel', response)\n\n if raw:\n client_raw_response = ClientRawResponse(deserialized, response)\n return client_raw_response\n\n return deserialized","def data(self):\n return self.content","def _get_post(self):\n return self.get_object().content_object","def get(self, data):\n pass","def download(self):\n data = urllib.urlopen(self.remoteurl).read()\n s = StringIO.StringIO(data)\n return Image.open(s)","def _fetch(cls, *args, **kwargs):\n apikey = htpc.settings.get('plexpy_apikey')\n\n if apikey is None:\n raise\n\n url = '%sapi/v2?apikey=%s&%s' % (cls._build_url(), apikey, urlencode(kwargs))\n\n try:\n r = requests.get(url, verify=False)\n r.raise_for_status()\n # Lets just copy the headers for now.\n cherrypy.response.headers['Content-Type'] = r.headers.get('Content-Type', 'application/json;charset=UTF-8')\n resp = r.json()\n if resp.get('response', {}).get('result') == 'success':\n return resp['response']['data']\n except:\n log.exception('Failed to get %s' % url)\n return","def _get(self, object='emailTemplate', path=None, params=None):\n if params is None:\n params = {}\n result = self.client.get(object=object, path=path, params=params)\n return result","def contents(self):\n self.syncContents()\n return self._contents","def get(self, path):\n base = 'http://%s:%d' % (self.host, self.port)\n url = '%s/%s' % (base, path)\n\n conn = urllib2.urlopen(url)\n payload = conn.read()\n try: \n payload = json.loads(payload)\n except:\n pass\n\n conn.close()\n\n return payload","def get(self, data):\n ret = self._rest_call({}, 'GET')\n return json.loads(ret[2])","def get_content_object_by_model(self, model_or_instance):\n session_element = self.get_elements_by_model(model_or_instance).order_by('-created_at').first()\n if not session_element:\n return None\n\n return session_element.content_object","def me(self):\n\n return self.client._get(self._url())","def read_content(self):\n pass","def get_obj(self, obj_name, obj_type):\n content = self.connection_obj.content\n obj_list = content.viewManager.CreateContainerView(content.rootFolder, obj_type, True).view\n for obj in obj_list:\n sys.stdout.write('Checking object \"{0}\" \\r'.format(obj.name))\n if obj.name == obj_name:\n self.logger.info('Found object {0}'.format(self.get_success_message(obj.name)))\n return obj\n else:\n sys.stdout.flush()\n return None","def fetch_content(type,msgid,baseurl,user,password):\n payload = {'request': 'content', 'type': type, 'msgid': msgid}\n r = requests.get(baseurl, params=payload, auth=HTTPBasicAuth(user, password), verify=False)\n return r.text.encode('ascii', 'ignore')","def retrieve(self):\n return self._wrapper(self._retrieve)"],"string":"[\n \"def getObject(self):\\n # try getting the remote object by unique id\\n remote_obj = self._getObjectByUid()\\n if remote_obj is not None:\\n return remote_obj\\n\\n utool = getUtility(IURLTool)\\n return utool.getPortalObject().restrictedTraverse(self.remote_url)\",\n \"def get_remote_content(self, path):\\n if path.startswith(\\\"http\\\"):\\n page_path = path\\n elif path.startswith(\\\"www\\\"):\\n page_path = \\\"https://\\\" + path\\n else:\\n page_path = self.source + path\\n \\n print(\\\"Getting \\\" + page_path)\\n \\n try:\\n resp = requests.get(page_path)\\n except:\\n print(\\\"Unable to get \\\" + page_path)\\n return None\\n \\n if resp.status_code == 200:\\n return resp.content\\n else:\\n print(\\\"Unable to get \\\" + page_path + \\\" Response = \\\" + str(resp.status_code))\\n return None\",\n \"def get(self, obj):\",\n \"def current_content(self):\\n return self.host.open(self.remote_path, 'rb', use_sudo=self.use_sudo).read()\",\n \"def get_content_object(self, **kwargs):\\r\\n return self.content_object\",\n \"def get_for_object(self, content_object, **kwargs):\\r\\n return self.get(**self._generate_object_kwarg_dict(content_object, **kwargs))\",\n \"def fetch(self, remote, *args):\\n return self.cmd('fetch', remote, *args)\",\n \"def _get(conn, remote_file, bucket_name=BUCKET_NAME):\\n contents = None\\n try:\\n reply = conn.get(bucket_name, remote_file)\\n contents = reply.body\\n if reply.http_response.status != 200:\\n print 'Failed to fetch current_remote metadata'\\n contents = None\\n except:\\n contents = None\\n return contents\",\n \"def get(self, obj):\\n raise NotImplementedError\",\n \"def get_content_object(self):\\r\\n return self.content_object\",\n \"def get_contents(self):\\n return self.contents\",\n \"def remote(self, *args, **kwargs):\\n return self.api.remote(*args, **kwargs)\",\n \"def get_object(self, oid):\\n return self.request('get', safeformat('registry/objects/{:int}', oid))\",\n \"def getContent(self) -> object:\\n ...\",\n \"def getObject(self):\\n return self.base.get(\\\"object\\\", [])\",\n \"def retrieve_content(self, url):\\n page = requests.get(url)\\n content = page.content\\n return content\",\n \"def get_object(self, account, container, object):\\n \\n node = {'zone': 3, 'weight': 100.0, 'ip': self.address, \\n 'id': 3, 'meta': '', 'device': 'sda6', 'port': self.port}\\n \\n headers = dict()\\n partition = self.__get_partition__(account, container, object, self.part_shift)\\n \\n path = \\\"/%s/%s/%s\\\" % (account, container, object)\\n method = \\\"GET\\\"\\n conn = http_connect(node['ip'], node['port'],#class\\n node['device'], partition, method, path,\\n #headers=headers,\\n #query_string=''\\n )\\n \\n resp = conn.getresponse()\\n status = resp.status\\n headers = resp.getheaders()\\n content = resp.read()\\n\\n return (status, headers, content)#http's return value, headers contain more information and could be verified later, content is the file content.\",\n \"def _get_subclient_content_(self):\\r\\n return self.content\",\n \"def get_content(self):\\n return self.__response.content\",\n \"def fetchContent(self):\\n print 'fetching page by its path: '+ self.path\\n uri = '%s?path=%s' % (self.client.MakeContentFeedUri(), self.path)\\n # get the content feed\\n feed = self.client.GetContentFeed(uri=uri)\\n # take out the content\\n self.entry = feed.get_webpages()[0]\",\n \"def get_content(self):\\n return self.content\",\n \"def get_object(self, id, **args):\\n return self.request(\\\"{0}/{1}\\\".format(self.version, id), args)\",\n \"def fetch(self, object_ids):\\n return libplasma.fetch(self.conn, object_ids)\",\n \"def get_contents(self):\\n with closing(self.open()) as handle:\\n return handle.read()\",\n \"def get_object(self, id, **args):\\n return self.request(id, args)\",\n \"def fetch(self):\\n pass\",\n \"def fetch(self):\\n pass\",\n \"def GetDataAsObject(self):\",\n \"def get(self):\\n\\t\\treturn self.connection.get(self.base_uri)\",\n \"def get(self, url):\\n return json.loads(self.as_source.urlopen(url).read())\",\n \"def content(self):\\r\\n return self.listing_obj\",\n \"def get_object(self):\\n return self._object\",\n \"def getRemoteObjectByUid( self, remote ):\\n obj = None\\n if not remote: return None\\n if type(remote) is DictType:\\n try: remote_uid = remote['uid']\\n except: remote_uid = None\\n if remote_uid:\\n obj = self.getObjectByUid( remote_uid )\\n else:\\n obj = self.getObjectByUid( remote )\\n return obj\",\n \"def fetch(self):\\n if not self.__class__.handler:\\n raise IcebergNoHandlerError()\\n\\n data = self.__class__.handler.request(self.resource_uri)\\n\\n return self._load_attributes_from_response(**data)\",\n \"def _fetch_current_remote_metadata(conn):\\n content = _get(conn, REMOTE_METADATA_FILE)\\n metadata = json.loads(content) if content else {}\\n return metadata\",\n \"def fetch(self):\\n raise NotImplementedError()\",\n \"def httpGet(self, url='', data='', params={}, headers={}):\\n\\n reply = self.httpRequest('GET', url, data, params, headers)\\n return _WebObject(reply.json())\",\n \"def getObject(self, resource):\\n resource = self.parseUrl(resource, 'objects')\\n\\n res = self.getRequest(resource)\\n obj = vsdModels.APIObject._create(res)\\n return obj\",\n \"def _get(self, request_obj):\\n return self._execute_action(request_obj, 'GET')\",\n \"def obj(self):\\n if not self._obj:\\n self._get()\\n return self._obj\",\n \"def on_get_resource(self, req, resp, **params):\\n instance = self.get_object(**params)\\n resp.json(**instance.as_resource)\",\n \"def get_object ( self, object ):\\n return object\",\n \"def remote_get(name, src):\\n raise NotImplementedError('derived class should overload me')\",\n \"def fetch(self) -> None:\\n pass\",\n \"def _getObjectByUid(self):\\n # check for unique id handler tool\\n if not PRODUCTS_CMFUID_INSTALLED:\\n return\\n uidtool = queryUtility(IUniqueIdHandler)\\n if uidtool is None:\\n return\\n\\n # check for remote uid info on object\\n uid = getattr(aq_base(self), 'remote_uid', None)\\n if uid is None:\\n return\\n\\n return uidtool.queryObject(uid, None)\",\n \"def read_object(self, object_id: str) -> Any:\\n return self.objects[object_id]\",\n \"def get_raw_data(self):\\n return self.content\",\n \"def getObject(self):\\n parent = aq_parent(self)\\n obj = None\\n try:\\n obj = parent.unrestrictedTraverse(self.getPath()) \\n except:\\n log.error(\\\"Unable to get object from brain. Path: {0}. Catalog may be out of sync.\\\".format(self._result.uid))\\n return obj\",\n \"def retrieve(self):\\n pass\",\n \"async def get(self):\\n raise NotImplementedError()\",\n \"def get_object_contents(key):\\n if key is None or key == \\\"\\\":\\n r = jsonify(message=\\\"Not all required params are present\\\", success=False, status_code=400)\\n r.status_code = 400\\n return r\\n\\n contents = cache_utils.get(key)\\n return Response(contents)\",\n \"def get_object(selenium, obj):\\n return _get_ui_service(selenium, obj).get_obj_from_info_page(obj)\",\n \"def get(self, object_id):\\n try:\\n return self.get_resource(object_id)\\n except self._connection_errors:\\n pass\\n try:\\n return self.get_package(object_id)\\n except self._connection_errors:\\n raise\",\n \"def get(self):\\n return self.get_data()\",\n \"def get_model(self):\\n url = self.resource()\\n params = {'data': ''}\\n resp = self._client.get(url, params=params)\\n\\n return resp.text\",\n \"def get_objects_data(self):\\n pass\",\n \"def get_content_from_ulr(self):\\n response = urllib.request.urlopen(self.url)\\n if response.getcode() != 200:\\n self.logger.info(\\\"Cisco - get_content_from_url()\\\")\\n raise ConnectionError('Unable to load ', self.url)\\n content = response.read()\\n response.close()\\n return content\",\n \"def extract(self):\\n\\n self.decode(CMS_object.extract(self))\\n return self.get_content()\",\n \"def get_content(self) -> Content:\\n pass\",\n \"async def update(self):\\n\\t\\tstate = await self._client.get_state('command.cgi?cmd=getObject&oid={0}&ot={1}'.format(self._oid,self._ot))\\n\\t\\tif state is not None:\\n\\t\\t\\tself._raw_result = state\",\n \"async def get(self):\\n\\n pass\",\n \"def obj(self):\\r\\n return self._obj\",\n \"def do_fetch(self):\\n pass\",\n \"def GetContent(self):\\n random_header = random.choice(self.my_headers)\\n req = urllib2.Request(self.url)\\n req.add_header(\\\"User-Agent\\\", random_header)\\n req.add_header(\\\"Host\\\", self.host)\\n req.add_header(\\\"Referer\\\", self.referer)\\n req.add_header(\\\"GET\\\", self.url)\\n try:\\n html = urllib2.urlopen(req)\\n content = html.read()\\n# print html.info()\\n html.close()\\n return content\\n except:\\n print \\\"Something wrong is happening in get_content!\\\"\",\n \"def remote(self, *arguments, **kwargs):\\n return self.get_output('remote', *arguments, **kwargs)\",\n \"def get(self):\\r\\n return http.Request('GET', self.get_url()), parsers.parse_json\",\n \"def get(self):\\r\\n return http.Request('GET', self.get_url()), parsers.parse_json\",\n \"def get(self, objectclass, **kwargs):\\n raise NotImplementedError\",\n \"def get_object2(self, mpath, path=None, accept=\\\"*/*\\\"):\\n log.debug('GetObject %r', mpath)\\n headers = {\\n \\\"Accept\\\": accept\\n }\\n\\n res, content = self._request(mpath, \\\"GET\\\", headers=headers)\\n if res[\\\"status\\\"] not in (\\\"200\\\", \\\"304\\\"):\\n raise errors.MantaAPIError(res, content)\\n if len(content) != int(res[\\\"content-length\\\"]):\\n raise errors.MantaError(\\\"content-length mismatch: expected %d, \\\"\\n \\\"got %s\\\" % (res[\\\"content-length\\\"], content))\\n if res.get(\\\"content-md5\\\"):\\n md5 = hashlib.md5(content)\\n content_md5 = base64.b64encode(md5.digest())\\n if content_md5 != res[\\\"content-md5\\\"]:\\n raise errors.MantaError(\\\"content-md5 mismatch: expected %d, \\\"\\n \\\"got %s\\\" % (res[\\\"content-md5\\\"], content_md5))\\n if path is not None:\\n f = open(path, 'wb')\\n try:\\n f.write(content)\\n finally:\\n f.close()\\n return (res, None)\\n else:\\n return (res, content)\",\n \"def obj(self):\\n return self._obj\",\n \"def get_object(self, key):\\n try:\\n return self.client.get_object(Bucket=self.bucket, Key=key)['Body'].read().decode('utf-8')\\n except:\\n return None\",\n \"def content (self):\\n return self.__content\",\n \"def get_object(id):\",\n \"def object_get(self, request):\\n _view = _object_view(self, request)\\n queried = ObjectPostings(self.cdb_object_id, request.params.mixed()).query()\\n postings = [request.view(obj) for obj in queried[0]]\\n\\n _view.update({\\n \\\"postings\\\": postings,\\n \\\"result_complete\\\": queried[1]\\n })\\n return _view\",\n \"def fetch(url, user_agent=\\\"django-oembed/0.1\\\"):\\r\\n request = urllib2.Request(url)\\r\\n request.add_header('User-Agent', user_agent)\\r\\n request.add_header('Accept-Encoding', 'gzip')\\r\\n opener = urllib2.build_opener()\\r\\n f = opener.open(request)\\r\\n result = f.read()\\r\\n if f.headers.get('content-encoding', '') == 'gzip':\\r\\n result = gzip.GzipFile(fileobj=StringIO(result)).read()\\r\\n f.close()\\r\\n return result\",\n \"def get_object(self, container_name, object_name, download_path):\\n obj = self.client.get_object(container_name, object_name)\\n with open(download_path + object_name, 'w') as test_file:\\n test_file.write(obj[1])\\n return True\",\n \"def GET(self):\\n content = requests.get(self._url)\\n if content.status_code != 200:\\n print(\\\"There was a problem with the get request. Error code is: %s.\\\" % content.status_code)\\n return False\\n else:\\n print(\\\"The status code is %s.\\\" % content.status_code)\\n return content\",\n \"def get_content(self) -> dict:\\n return self.__content\",\n \"def contents(self):\\n if not hasattr(self, \\\"_content\\\"):\\n self._content = self.get_content()\\n return self._content\",\n \"def get(self):\\r\\n return self.data\",\n \"def get_content_by_id_get(self, head, id, locale):\\n # TODO: Assuming first server is good - need to make fallback logic\\n return self.session.get_any(\\\"{base}{request_url}\\\".format(base=self.servers[0],\\n request_url=F\\\"/Content/GetContentById/{id}/{locale}/\\\"))\",\n \"def get_object(\\n self, object_t, object_id=None, relation=None, parent=None, **params\\n ):\\n url = self.object_url(object_t, object_id, relation)\\n params = params or {}\\n if self.access_token is not None:\\n params[\\\"access_token\\\"] = str(self.access_token)\\n response = self.session.get(url, params=params)\\n json_data = response.json()\\n if \\\"error\\\" in json_data:\\n raise ValueError(\\n f\\\"API request return error for object: {object_t} id: {object_id}\\\"\\n )\\n return self._process_json(json_data, parent)\",\n \"def fetch_data(self):\",\n \"def object(self):\\n return self._object\",\n \"def retrieve(\\n self, custom_headers=None, raw=False, **operation_config):\\n # Construct URL\\n url = self.retrieve.metadata['url']\\n\\n # Construct parameters\\n query_parameters = {}\\n\\n # Construct headers\\n header_parameters = {}\\n header_parameters['Accept'] = 'application/json'\\n if custom_headers:\\n header_parameters.update(custom_headers)\\n\\n # Construct and send request\\n request = self._client.get(url, query_parameters, header_parameters)\\n response = self._client.send(request, stream=False, **operation_config)\\n\\n if response.status_code not in [200]:\\n raise HttpOperationError(self._deserialize, response)\\n\\n deserialized = None\\n\\n if response.status_code == 200:\\n deserialized = self._deserialize('ContainerModel', response)\\n\\n if raw:\\n client_raw_response = ClientRawResponse(deserialized, response)\\n return client_raw_response\\n\\n return deserialized\",\n \"def data(self):\\n return self.content\",\n \"def _get_post(self):\\n return self.get_object().content_object\",\n \"def get(self, data):\\n pass\",\n \"def download(self):\\n data = urllib.urlopen(self.remoteurl).read()\\n s = StringIO.StringIO(data)\\n return Image.open(s)\",\n \"def _fetch(cls, *args, **kwargs):\\n apikey = htpc.settings.get('plexpy_apikey')\\n\\n if apikey is None:\\n raise\\n\\n url = '%sapi/v2?apikey=%s&%s' % (cls._build_url(), apikey, urlencode(kwargs))\\n\\n try:\\n r = requests.get(url, verify=False)\\n r.raise_for_status()\\n # Lets just copy the headers for now.\\n cherrypy.response.headers['Content-Type'] = r.headers.get('Content-Type', 'application/json;charset=UTF-8')\\n resp = r.json()\\n if resp.get('response', {}).get('result') == 'success':\\n return resp['response']['data']\\n except:\\n log.exception('Failed to get %s' % url)\\n return\",\n \"def _get(self, object='emailTemplate', path=None, params=None):\\n if params is None:\\n params = {}\\n result = self.client.get(object=object, path=path, params=params)\\n return result\",\n \"def contents(self):\\n self.syncContents()\\n return self._contents\",\n \"def get(self, path):\\n base = 'http://%s:%d' % (self.host, self.port)\\n url = '%s/%s' % (base, path)\\n\\n conn = urllib2.urlopen(url)\\n payload = conn.read()\\n try: \\n payload = json.loads(payload)\\n except:\\n pass\\n\\n conn.close()\\n\\n return payload\",\n \"def get(self, data):\\n ret = self._rest_call({}, 'GET')\\n return json.loads(ret[2])\",\n \"def get_content_object_by_model(self, model_or_instance):\\n session_element = self.get_elements_by_model(model_or_instance).order_by('-created_at').first()\\n if not session_element:\\n return None\\n\\n return session_element.content_object\",\n \"def me(self):\\n\\n return self.client._get(self._url())\",\n \"def read_content(self):\\n pass\",\n \"def get_obj(self, obj_name, obj_type):\\n content = self.connection_obj.content\\n obj_list = content.viewManager.CreateContainerView(content.rootFolder, obj_type, True).view\\n for obj in obj_list:\\n sys.stdout.write('Checking object \\\"{0}\\\" \\\\r'.format(obj.name))\\n if obj.name == obj_name:\\n self.logger.info('Found object {0}'.format(self.get_success_message(obj.name)))\\n return obj\\n else:\\n sys.stdout.flush()\\n return None\",\n \"def fetch_content(type,msgid,baseurl,user,password):\\n payload = {'request': 'content', 'type': type, 'msgid': msgid}\\n r = requests.get(baseurl, params=payload, auth=HTTPBasicAuth(user, password), verify=False)\\n return r.text.encode('ascii', 'ignore')\",\n \"def retrieve(self):\\n return self._wrapper(self._retrieve)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.69937205","0.6545057","0.6417782","0.63836384","0.6261528","0.6251807","0.6178698","0.61709577","0.61447203","0.614206","0.6140592","0.6113577","0.61032605","0.60779417","0.60344654","0.6033025","0.600181","0.5966634","0.59529024","0.5910655","0.5892479","0.58907574","0.5875634","0.58453816","0.5819437","0.57866305","0.57866305","0.578233","0.57464814","0.5722083","0.57141536","0.5713048","0.571031","0.5710174","0.57096964","0.57082164","0.57016194","0.56933606","0.5679814","0.5669647","0.5666713","0.5650916","0.5639487","0.56373674","0.5633131","0.5631505","0.5613126","0.56117237","0.5599514","0.5599286","0.55978847","0.55803674","0.55714583","0.55666625","0.55583394","0.5557005","0.55540735","0.55516547","0.55485046","0.55482626","0.55475754","0.5544716","0.553112","0.552641","0.55261827","0.55135334","0.55135334","0.5504187","0.5503234","0.5500173","0.5490194","0.54856247","0.54772675","0.5476624","0.54704446","0.54680115","0.54670566","0.54496896","0.544873","0.54384273","0.5431411","0.54299885","0.542866","0.5426268","0.5411662","0.54034925","0.5398137","0.5396008","0.53957015","0.5391441","0.5388716","0.5388413","0.5376662","0.53758967","0.5375407","0.537487","0.5367518","0.53663486","0.5360245","0.5354865"],"string":"[\n \"0.69937205\",\n \"0.6545057\",\n \"0.6417782\",\n \"0.63836384\",\n \"0.6261528\",\n \"0.6251807\",\n \"0.6178698\",\n \"0.61709577\",\n \"0.61447203\",\n \"0.614206\",\n \"0.6140592\",\n \"0.6113577\",\n \"0.61032605\",\n \"0.60779417\",\n \"0.60344654\",\n \"0.6033025\",\n \"0.600181\",\n \"0.5966634\",\n \"0.59529024\",\n \"0.5910655\",\n \"0.5892479\",\n \"0.58907574\",\n \"0.5875634\",\n \"0.58453816\",\n \"0.5819437\",\n \"0.57866305\",\n \"0.57866305\",\n \"0.578233\",\n \"0.57464814\",\n \"0.5722083\",\n \"0.57141536\",\n \"0.5713048\",\n \"0.571031\",\n \"0.5710174\",\n \"0.57096964\",\n \"0.57082164\",\n \"0.57016194\",\n \"0.56933606\",\n \"0.5679814\",\n \"0.5669647\",\n \"0.5666713\",\n \"0.5650916\",\n \"0.5639487\",\n \"0.56373674\",\n \"0.5633131\",\n \"0.5631505\",\n \"0.5613126\",\n \"0.56117237\",\n \"0.5599514\",\n \"0.5599286\",\n \"0.55978847\",\n \"0.55803674\",\n \"0.55714583\",\n \"0.55666625\",\n \"0.55583394\",\n \"0.5557005\",\n \"0.55540735\",\n \"0.55516547\",\n \"0.55485046\",\n \"0.55482626\",\n \"0.55475754\",\n \"0.5544716\",\n \"0.553112\",\n \"0.552641\",\n \"0.55261827\",\n \"0.55135334\",\n \"0.55135334\",\n \"0.5504187\",\n \"0.5503234\",\n \"0.5500173\",\n \"0.5490194\",\n \"0.54856247\",\n \"0.54772675\",\n \"0.5476624\",\n \"0.54704446\",\n \"0.54680115\",\n \"0.54670566\",\n \"0.54496896\",\n \"0.544873\",\n \"0.54384273\",\n \"0.5431411\",\n \"0.54299885\",\n \"0.542866\",\n \"0.5426268\",\n \"0.5411662\",\n \"0.54034925\",\n \"0.5398137\",\n \"0.5396008\",\n \"0.53957015\",\n \"0.5391441\",\n \"0.5388716\",\n \"0.5388413\",\n \"0.5376662\",\n \"0.53758967\",\n \"0.5375407\",\n \"0.537487\",\n \"0.5367518\",\n \"0.53663486\",\n \"0.5360245\",\n \"0.5354865\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.5384759"},"document_rank":{"kind":"string","value":"92"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":899,"numItemsPerPage":100,"numTotalItems":95772,"offset":89900,"length":100}},"jwt":"eyJhbGciOiJFZERTQSIsImtpZCI6IjVHZDBvd0g5MTM2eDZjc1FvbE1zcktNWUZoRVFoUm5PVVVybEpjOUhaUEEifQ.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc4NTczODU3MCwianRpIjoiOTFjNjJhODAtM2M2NS00OTQ0LTkxZDMtMjRmMzk0MzJjMmFiIiwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1weXRob24tdjEiLCJleHAiOjE3ODU3NDIxNzAsImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ.ibjH_e55ijBk_dFoFdpXuDOD8RaXul1KMo4Yf5-bhLgeBTYY25Li7j_d6rWZHXNh10mxfnoqfZ5SVqP-NLwSAQ","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":95772,"numBytesParquet":1928375891}]},"discussionsStats":{"closed":1,"open":1,"total":2},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 9 3.4k | document stringlengths 9 87.4k | metadata dict | negatives listlengths 4 101 | negative_scores listlengths 4 101 | document_score stringlengths 3 10 | document_rank stringclasses 102
values |
|---|---|---|---|---|---|---|
Initializes the Generator network. | def __init__(self, in_channels, ofp_name='Optical Flow Predictor'):
super(OFPredictor, self).__init__()
self.ofp_name = ofp_name
# definition of all layer channels
self.layer_out_channels = {1: 128,
2: 64,
3: 32,
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def init_net(self):\r\n # initialize the generator network\r\n g_net = Net(\r\n self.architecture['generator'], net_name='gen',\r\n data_format=FLAGS.IMAGE_FORMAT, num_class=self.num_class)\r\n # define layer connections in generator\r\n self.Gen = Routine(g_net)\r... | [
"0.81265664",
"0.75276977",
"0.7346039",
"0.7256937",
"0.70575345",
"0.693526",
"0.6913095",
"0.6912832",
"0.676234",
"0.662226",
"0.66039085",
"0.6594192",
"0.6580022",
"0.65705234",
"0.65510106",
"0.6539857",
"0.6511585",
"0.65068555",
"0.6443831",
"0.6431111",
"0.63988996"... | 0.0 | -1 |
Function to compute a single forward pass through the network, according to the architecture. | def forward(self, rep, kp):
x = torch.cat([rep, kp], dim=1) # dim=channel
x = self.layers(x)
return x # bsz | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def forward_pass(X,architecture):\n \n architecture['layer1'][0] = X\n kernel_shape1 = architecture['layer1'][7]\n stride1 = architecture['layer1'][8]\n if kernel_shape1 is not None and not isinstance(kernel_shape1,int):\n X_input_1_im2col,imX = im2col(X,kernel_shape1,stride1,im_needed = Fals... | [
"0.70519215",
"0.6851133",
"0.68151206",
"0.68046707",
"0.67846954",
"0.6776149",
"0.6751489",
"0.6748744",
"0.6711352",
"0.66513306",
"0.6621835",
"0.66118675",
"0.6604177",
"0.65992516",
"0.65739995",
"0.65739995",
"0.65739995",
"0.6563378",
"0.653694",
"0.6536814",
"0.6521... | 0.0 | -1 |
Returns the conditional loglikelihood of the observations. | def _log_likelihood(self, theta, f, x, y, yerr):
sigma2 = yerr**2
return -0.5*np.sum((y - f(theta, x))**2 / sigma2 + 2*np.log(sigma2)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def log_likelihood(self):\r\n return (-0.5 * self.num_data * self.output_dim * np.log(2.*np.pi) -\r\n 0.5 * self.output_dim * self.K_logdet + self._model_fit_term() + self.likelihood.Z)",
"def log_likelihood_function(self, instance):\r\n\r\n xvalues = np.arange(self.data.shape[0])\r\n ... | [
"0.7378853",
"0.7304213",
"0.7241666",
"0.7125939",
"0.7054042",
"0.70123684",
"0.69925195",
"0.69223547",
"0.6895047",
"0.68253577",
"0.6810189",
"0.6802465",
"0.6785051",
"0.6773284",
"0.6751977",
"0.67441165",
"0.6710317",
"0.67056346",
"0.669349",
"0.66932",
"0.6670858",
... | 0.0 | -1 |
Returns the prior logprobability of the model parameters. | def _log_prior(self, theta, bounds):
if not ((bounds[0] < theta).all() and (theta < bounds[1]).all()):
return -np.inf
else:
return 0.0 | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def log_prior(self, params):\n # log likelihood function, see:\n # https://en.wikipedia.org/wiki/Multivariate_normal_distribution#Likelihood_function\n variance = self.std ** 2\n ndim = params.ndim\n mean_diff = params - self.mean\n scaled_sq_err = jnp.dot(mean_diff, mean_... | [
"0.7703106",
"0.7564021",
"0.7556586",
"0.7543695",
"0.7523004",
"0.7460024",
"0.7460024",
"0.7293357",
"0.726926",
"0.7212998",
"0.71421045",
"0.7124713",
"0.709318",
"0.70578134",
"0.7026564",
"0.69897103",
"0.69895947",
"0.69756615",
"0.6955453",
"0.69510067",
"0.6860235",... | 0.6559603 | 42 |
Returns the Bayes numerator logprobability. | def _log_probability(self, theta, model, bounds, x, y, yerr):
lp = self._log_prior(theta, bounds)
if not np.isfinite(lp):
return -np.inf
return lp + self._log_likelihood(theta, model, x, y, yerr) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def log_prob(self):",
"def sentence_logprob(self, sentence):\n line = get_ngrams(sentence,3)\n log_por = 0.0\n for item in line:\n raw_por = self.smoothed_trigram_probability(item)\n log_por = log_por+math.log2(raw_por)\n\n return float(log_por)",
"def lnprobab... | [
"0.7335864",
"0.71539515",
"0.711939",
"0.6993325",
"0.69717914",
"0.6897869",
"0.6868799",
"0.684763",
"0.67927825",
"0.6784907",
"0.6784907",
"0.6756561",
"0.67523694",
"0.67367864",
"0.6711099",
"0.669755",
"0.6691705",
"0.6649628",
"0.6599368",
"0.6557143",
"0.65558773",
... | 0.0 | -1 |
Checks if the model has been fitted. | def _check_if_fitted(self):
if not self.fitted:
raise AssertionError('Model is not fitted! Fit the model to a '
'dataset before attempting to plot results.') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def has_been_fit(self):\n return self.predictor.has_been_fit",
"def _check_if_fitted(self):\n if self.covar_module is None:\n raise RuntimeError(\n \"Model has not been fitted. You need to call \"\n \"`fit_fully_bayesian_model_nuts` to fit the model.\"\n ... | [
"0.84510565",
"0.8341908",
"0.80420315",
"0.78471446",
"0.76460594",
"0.7363085",
"0.7329144",
"0.7243502",
"0.6904458",
"0.68524843",
"0.6768016",
"0.6768016",
"0.67104214",
"0.65335727",
"0.6428695",
"0.6424164",
"0.63796276",
"0.637692",
"0.6376009",
"0.63072443",
"0.62974... | 0.8522283 | 0 |
Samples the posterior distribution to fit the model to the data. | def fit(self, p0=None, pool=None, moves=None):
self._p0 = p0
# self._bounds = self.param_bounds
self.ndim = self.param_bounds.shape[1]
if self._p0 is None:
self._p0 = np.random.uniform(*self.param_bounds,
(self.nwalkers, self.ndim))
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def posterior_sample(self):\n pass",
"def sample_posterior(self):\n \n# print (\"SAMPLING FROM LINEAR SIMILARITY VB\")\n if (self.posterior_mean == False):\n self.weight = Vil.sample_posterior(self.mu_weight, Vil.softplus(self.rho_weight))\n self.bias = Vil.sampl... | [
"0.7270848",
"0.7082263",
"0.67933387",
"0.6556029",
"0.6509716",
"0.64833724",
"0.6433063",
"0.6410651",
"0.641042",
"0.6386421",
"0.63349533",
"0.6258219",
"0.61917496",
"0.61873734",
"0.6183915",
"0.615199",
"0.6147017",
"0.61315185",
"0.6121277",
"0.61200947",
"0.61011916... | 0.0 | -1 |
Gets the MCMC chains from a fitted model. | def get_chain(self, **kwargs):
self._check_if_fitted()
return self._sampler.get_chain(**kwargs) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def chains(self, model_num = 0):\n return [c for c in self.struct]",
"def iter_chains(self):\n if self.default_model:\n return iter(self.default_model.chain_list)\n return iter(list())",
"def mcmc(guess, nu, D, Ninv, beam_mat, models_fit, label=None, nwalkers=50, burn=500, steps... | [
"0.6416719",
"0.5682124",
"0.55172515",
"0.53585184",
"0.52665263",
"0.523426",
"0.51154137",
"0.50814307",
"0.5026937",
"0.5012058",
"0.49715763",
"0.4924447",
"0.49119356",
"0.48740694",
"0.4869272",
"0.4849639",
"0.48269346",
"0.47564632",
"0.4753034",
"0.4740829",
"0.4732... | 0.5572626 | 2 |
Returns a Polynomial Decomposition impedance. | def forward(self, theta, w):
return Decomp_cyth(w, self.taus, self.log_taus, self.c_exp,
R0=theta[0], a=theta[1:]) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def deriv(self):\n poly_deriv = []\n for i, val in enumerate(self.coeff):\n poly_deriv.append(i*val)\n # Removes the differentiated constant (which is always 0).\n del poly_deriv[0]\n return Poly(poly_deriv)",
"def anti_deriv(self):\n poly_anti_deriv = [0]\n ... | [
"0.6602687",
"0.6434507",
"0.61124486",
"0.594507",
"0.59432936",
"0.5882449",
"0.5757533",
"0.571267",
"0.5697987",
"0.56913066",
"0.5650294",
"0.5599147",
"0.55832195",
"0.55588233",
"0.5545277",
"0.5538527",
"0.5534198",
"0.55121106",
"0.55069256",
"0.5482732",
"0.54679424... | 0.0 | -1 |
Returns a ColeCole impedance. | def forward(self, theta, w):
return ColeCole_cyth(w,
R0=theta[0],
m=theta[1:1+self.n_modes],
lt=theta[1+self.n_modes:1+2*self.n_modes],
c=theta[1+2*self.n_modes:]) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def cole_coeff(self):\n return self.diseq_coeff(standardize=True)",
"def circpol(self):\n return self._circpol",
"def rc_impedance(R, X):\n if isinstance(X, tuple):\n X = capacitive_reactance(X[0], X[1])\n Z = math.sqrt(R**2 + X**2)\n return _Res(Z)",
"def reflection_coefficient... | [
"0.58506185",
"0.58204633",
"0.57930845",
"0.57545364",
"0.5430616",
"0.54134864",
"0.5342721",
"0.5340746",
"0.531498",
"0.52990055",
"0.52800167",
"0.5265645",
"0.525901",
"0.5239153",
"0.5209121",
"0.518048",
"0.5123653",
"0.51234806",
"0.5104862",
"0.50781995",
"0.5072264... | 0.50014687 | 28 |
Returns a Dias (2000) impedance. | def forward(self, theta, w):
return Dias2000_cyth(w, *theta) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def duty_translate(self, n):\n return int((float(n) / 255) * 1023)",
"def dc(self):\n return np.array(self['dc'], dtype=np.float32) / 1000",
"def dBtoLinear(db):\r\n return 10**(db/20)",
"def intrinsic_impedance(self,freq):\n if freq == 0:\n return cmath.sqrt(self.mu/self.e... | [
"0.58910507",
"0.5807247",
"0.57104003",
"0.5660627",
"0.5608719",
"0.5592587",
"0.5563866",
"0.5548893",
"0.5501863",
"0.54738",
"0.543523",
"0.53981644",
"0.5391949",
"0.5346082",
"0.5294509",
"0.5250999",
"0.5223875",
"0.52220315",
"0.5217054",
"0.52103794",
"0.5208293",
... | 0.0 | -1 |
Returns a Shin (2015) impedance. | def forward(self, theta, w):
return Shin2015_cyth(w,
R=theta[:2],
log_Q=theta[2:4],
n=theta[4:]
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def renishaw_1d_si():\r\n\r\n import os\r\n from ..raman_hyperspectra_read_files import read_RAMAN_RENISHAW_txt_0D\r\n\r\n fname = os.path.join(os.path.dirname(__file__), \"RENISHAW_1D_Si.txt\")\r\n da_sliced, da_sliced_interp, da, da_interp = read_RAMAN_RENISHAW_txt_0D(fname)\r\n\r\n return da_slic... | [
"0.5767429",
"0.56498814",
"0.5597143",
"0.55202895",
"0.5478017",
"0.5405477",
"0.53588426",
"0.53514975",
"0.5316064",
"0.5277444",
"0.5276314",
"0.52613115",
"0.52432704",
"0.52143633",
"0.5153139",
"0.5152581",
"0.51391906",
"0.51382667",
"0.5116501",
"0.5104855",
"0.5092... | 0.0 | -1 |
This function calls measure distance command and return distances between atoms | def measure_distance(self, mat):
if len(mat) == 1:
print("chain has only one CAatom")
return
self.dists = []
for num in range(0, len(mat)):
if num + 1 <= len(mat) - 1:
c1 = mat[num]
c2 = mat[num + 1]
d = c2 - c1
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def calculate_distance(atom1,atom2): #dot string to show when you go into the help doc of this function\n x_distance = atom1[0]-atom2[0]\n y_distance = atom1[1]-atom2[1]\n z_distance = atom1[2]-atom2[2]\n distance = numpy.sqrt(x_distance**2+ y_distance**2+z_distance**2)\n return distance",
"def _c... | [
"0.69215775",
"0.6625629",
"0.66220516",
"0.6382407",
"0.6372567",
"0.63564414",
"0.6245087",
"0.62364805",
"0.6187293",
"0.61466056",
"0.60757715",
"0.6070278",
"0.60611844",
"0.605809",
"0.60450953",
"0.60312355",
"0.60054964",
"0.59860754",
"0.5966108",
"0.5955413",
"0.590... | 0.6309999 | 6 |
This function computes standard deviations of distances between atoms list given | def standarddeviation_of_distances(self, distances, mean=None):
if len(distances) == 1:
mean = 3.50
self.stddev = 0.2
else:
sum = 0
for dis in distances:
sum = sum + dis
# finding mean
mean = sum / len(distances)
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def standard_deviation(list):\n num_items = len(list)\n mean = sum(list) / num_items\n differences = [x - mean for x in list]\n sq_differences = [d ** 2 for d in differences]\n ssd = sum(sq_differences)\n\n\n variance = ssd / num_items\n\n sd = sqrt(variance)\n\n return sd",
"def _calcula... | [
"0.7164316",
"0.7109992",
"0.7048701",
"0.70070904",
"0.69621277",
"0.6905012",
"0.68864226",
"0.6842125",
"0.67247325",
"0.66839546",
"0.6622081",
"0.6622081",
"0.6580844",
"0.6364406",
"0.6293041",
"0.62749994",
"0.6272102",
"0.62253296",
"0.62046343",
"0.61940634",
"0.6178... | 0.7279174 | 0 |
This function computes max and min value and finds the atoms where distance between them is more than max and residues which are not connected | def compute_max_min(self, mean, distances, mat, mol, atoms=[]):
min = mean - 0.300
max = mean + 0.500
ats = []
if len(distances) == 1:
if distances[0] > max:
caats = self.chain.getAtoms().get(lambda x: x.name == "CA")
ats.append([caats[0], caat... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_min_max_electrode_distances(self):\n distances = pdist(self.get_electrode_positions())\n return distances.min(), distances.max()",
"def get_max_and_min(self):\n max_x = float('-inf')\n min_x = float('inf')\n max_y = float('-inf')\n min_y = float('inf')\n m... | [
"0.63975495",
"0.6353354",
"0.62732863",
"0.60797185",
"0.60425997",
"0.6017662",
"0.59481037",
"0.5922569",
"0.5826767",
"0.5818462",
"0.57839507",
"0.57807755",
"0.5779295",
"0.5773055",
"0.57633895",
"0.5706294",
"0.5696797",
"0.5695814",
"0.56732357",
"0.5646929",
"0.5628... | 0.6639326 | 0 |
Convert between a Penn Treebank tag to a simplified Wordnet tag | def penn_to_wn(tag):
if tag.startswith('N'):
return 'n'
if tag.startswith('V'):
return 'v'
if tag.startswith('J'):
return 'a'
if tag.startswith('R'):
return 'r'
return None | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def penn_to_wn(tag):\r\n if tag.startswith('N'):\r\n return 'n'\r\n \r\n if tag.startswith('V'):\r\n return 'v'\r\n \r\n if tag.startswith('J'):\r\n return 'a'\r\n \r\n if tag.startswith('R'):\r\n return 'r'\r\n \r\n return 'n'",
"def penn_to_wn(tag):\r\n if tag.star... | [
"0.7503625",
"0.7503625",
"0.7440842",
"0.7378811",
"0.7376264",
"0.7358257",
"0.73056555",
"0.7207639",
"0.70650107",
"0.70051056",
"0.68536615",
"0.6828216",
"0.65609425",
"0.65086913",
"0.6497413",
"0.6439208",
"0.6272912",
"0.61927736",
"0.6163601",
"0.61525345",
"0.61522... | 0.7378214 | 4 |
compute the sentence similarity using Wordnet | def sentence_similarity_asym(sentence1, sentence2):
# Tokenize and tag
sentence1 = pos_tag(word_tokenize(sentence1))
sentence2 = pos_tag(word_tokenize(sentence2))
# Get the synsets for the tagged words
synsets1 = [tagged_to_synset(*tagged_word) for tagged_word in sentence1]
synsets2 = [tagged_... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def wordSimilarityRatio(sent_1,sent_2):",
"def wordNet_similarity(sentence1, sentence2):\r\n # Tokenize and tag\r\n \r\n # sentence1 = pos_tag(word_tokenize(sentence1))\r\n sentence1=st_tagger.tag(word_tokenize(sentence1))\r\n \r\n # sentence2 = pos_tag(word_tokenize(sentence2))\r\n sentence... | [
"0.8176473",
"0.7891114",
"0.7886794",
"0.7635196",
"0.7469397",
"0.737969",
"0.7375463",
"0.73530227",
"0.73361194",
"0.7256091",
"0.7135701",
"0.7113992",
"0.7112951",
"0.7011426",
"0.698791",
"0.6977041",
"0.6971011",
"0.6920748",
"0.6867374",
"0.68184453",
"0.6798726",
... | 0.7148714 | 10 |
This is the main game loop for playing accordion solitaire | def accordion_game_loop():
while True:
# Shows player the cards on the table
deck.cards_on_table()
# Prompt player to choose from available cards on table or quit
player_choice = input(
"Pick a card index number or deal a card = d or quit game = q: ")
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def GAME_LOOP():\n pass",
"def play_game(self):\n # need everyone to pass to move to next phase?\n self.deal_cards()\n self.plant_food()",
"def play_game():\n pass",
"def play_game():\n\n _initial_deal()\n\n main_window.mainloop()",
"def GAMEOVER_LOOP():\n ... | [
"0.73572654",
"0.71851116",
"0.7171762",
"0.71476305",
"0.70981914",
"0.7089904",
"0.70830375",
"0.7030875",
"0.6965971",
"0.6901151",
"0.6791792",
"0.6775212",
"0.67203623",
"0.67143553",
"0.6714",
"0.66939676",
"0.6681823",
"0.6675617",
"0.66722625",
"0.66714734",
"0.662073... | 0.7252437 | 1 |
Try sending markdown and revert to normal text if broken | def __actual_send_message(bot, chat_id, text,
parse_mode=None,
disable_web_page_preview=None,
disable_notification=False,
reply_to_message_id=None,
reply_markup=None,
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def convert_to_markdown(self, text: str) -> str:",
"def markdown(text):\n text = gfm(text)\n text = markdown_lib.markdown(text)\n return text",
"def markdown_post(post):\n post['entry'] = markdown(post['entry'].replace(\"\\n\",\" \\n\"), output=\"html5\")\n return post",
"def render_markdown_... | [
"0.6429384",
"0.63258183",
"0.6232665",
"0.62162316",
"0.6201989",
"0.607612",
"0.6075034",
"0.60221326",
"0.6016422",
"0.5995724",
"0.5976146",
"0.59642905",
"0.58939266",
"0.5892673",
"0.5820269",
"0.5817999",
"0.5816363",
"0.57908636",
"0.5773369",
"0.57693034",
"0.5751285... | 0.0 | -1 |
Return True if bot was able to actually send private message | def send_private_message(bot, user_id, text):
try:
__actual_send_message(bot=bot, chat_id=user_id, text=text)
return True
except TelegramError as e:
if e.message == "Unauthorized":
return False | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def allow_sudo(message):\n if message.author.id == Guard.AUTHOR and message.channel.type == discord.ChannelType.private:\n return True\n if message.author.id in Guard.SUDO_IDS and message.channel.id in Guard.SUDO_CHANNELS:\n return True\n return False",
"def can_send(se... | [
"0.69425625",
"0.6856079",
"0.6826255",
"0.6720108",
"0.6696828",
"0.66692317",
"0.6608927",
"0.6549641",
"0.6446773",
"0.6336873",
"0.63162243",
"0.62268645",
"0.61660624",
"0.61466724",
"0.612538",
"0.6072842",
"0.607221",
"0.60678214",
"0.6051874",
"0.60329306",
"0.6015381... | 0.73651165 | 0 |
Return True if bot was able to actually send private photo | def send_private_photo(bot, user_id, url, caption):
# Truncate caption if it's too long...
if len(caption) >= telegram.constants.MAX_CAPTION_LENGTH:
token = "[...]"
caption = caption[:-len(token)] + token
try:
bot.sendPhoto(user_id, photo=url, caption=caption)
return True
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def media_image_remotely_accessible(self) -> bool:\n return True",
"def send_private_link(bot, user_id, url):\n try:\n __actual_send_message(bot=bot, chat_id=user_id, text=url + \" \")\n return True\n except Unauthorized:\n return False\n except TelegramError as e:\n #... | [
"0.69891006",
"0.63934034",
"0.6243591",
"0.62283254",
"0.60614157",
"0.60280484",
"0.59461737",
"0.5909658",
"0.58902806",
"0.5760746",
"0.574469",
"0.57446885",
"0.57138896",
"0.5699035",
"0.5682138",
"0.56351286",
"0.56053644",
"0.5594147",
"0.5589981",
"0.5575158",
"0.556... | 0.73184806 | 0 |
Return True if bot was able to actually send private photo | def send_private_link(bot, user_id, url):
try:
__actual_send_message(bot=bot, chat_id=user_id, text=url + " ")
return True
except Unauthorized:
return False
except TelegramError as e:
# Todo try to send failed to message photo...
pass | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def send_private_photo(bot, user_id, url, caption):\n\n # Truncate caption if it's too long...\n if len(caption) >= telegram.constants.MAX_CAPTION_LENGTH:\n token = \"[...]\"\n caption = caption[:-len(token)] + token\n try:\n bot.sendPhoto(user_id, photo=url, caption=caption)\n ... | [
"0.73168516",
"0.6989355",
"0.6244311",
"0.62291497",
"0.6061357",
"0.6027259",
"0.5947171",
"0.59112054",
"0.58908",
"0.57627594",
"0.5744586",
"0.5742839",
"0.57133824",
"0.57034403",
"0.5682764",
"0.5638972",
"0.560661",
"0.559506",
"0.5587423",
"0.5570435",
"0.55625397",
... | 0.6391627 | 2 |
Send a custom message (not predefined) | def send_custom_message(bot, chat_id, message, parse_mode=None,
disable_web_page_preview=None,
disable_notification=False,
reply_to_message_id=None,
reply_markup=None,
timeout=None):
__actual_send... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def send(self, msg):\n self.message('Me', msg)",
"def send_message(self, message):\n pass",
"def send(self, msg):\n pass",
"def send(self, msg):\n pass",
"def send(self, msg):\n pass",
"def send(self, message):\n pass",
"def send(self, msg: str):\n\t\tself.client.s... | [
"0.8322891",
"0.7971607",
"0.79242545",
"0.79242545",
"0.79242545",
"0.782539",
"0.7554915",
"0.7442413",
"0.7422757",
"0.7404954",
"0.72999096",
"0.7290856",
"0.7252667",
"0.72094226",
"0.71426684",
"0.7112199",
"0.7105945",
"0.70600796",
"0.70494735",
"0.70370215",
"0.70288... | 0.6658285 | 74 |
Find input channels of the yolo model from layer configs. | def get_c(layer_configs):
net_config = layer_configs['000_net']
return net_config.get('channels', 3) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def output_channels(self, input_channels):\n return input_channels",
"def infer_channels(inputs, transpose=False):\n out_type = infer_type(inputs)\n out_shapes = [get_const_tuple(out_type.checked_type.shape)]\n channels = out_shapes[0][0] if not transpose else out_shapes[0][1]\n return channel... | [
"0.58312744",
"0.5742968",
"0.56544346",
"0.5654426",
"0.5552283",
"0.54746956",
"0.5446388",
"0.5428018",
"0.5343479",
"0.5341048",
"0.53252137",
"0.53120375",
"0.52911556",
"0.5288412",
"0.5281511",
"0.52737856",
"0.527295",
"0.52729017",
"0.5260956",
"0.52438396",
"0.52409... | 0.63726634 | 0 |
Read the ONNX file. | def load_onnx(model_name):
onnx_path = '%s.onnx' % model_name
if not os.path.isfile(onnx_path):
print('ERROR: file (%s) not found! You might want to run yolo_to_onnx.py first to generate it.' % onnx_path)
return None
else:
with open(onnx_path, 'rb') as f:
return f.read() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def read(self, filename):\n pass",
"def read(self, filename):\n pass",
"def read_from_file(self, filename: str) -> None:",
"def read(self, filename):\n raise NotImplementedError",
"def read():\n # TODO",
"def readFromFile(filename):\n raise NotImplementedError",
"def _rea... | [
"0.6746281",
"0.6746281",
"0.6521646",
"0.6459207",
"0.63081074",
"0.62845105",
"0.6245893",
"0.6220834",
"0.6212407",
"0.6155629",
"0.61270404",
"0.61025923",
"0.6095804",
"0.6050429",
"0.60348177",
"0.59660417",
"0.5933632",
"0.58970493",
"0.5861567",
"0.5832417",
"0.580760... | 0.6105649 | 11 |
Set network input batch size. The ONNX file might have been generated with a different batch size, say, 64. | def set_net_batch(network, batch_size):
if trt.__version__[0] >= '7':
shape = list(network.get_input(0).shape)
shape[0] = batch_size
network.get_input(0).shape = shape
return network | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_batch_size(self, batch_size):\n self.batch_size = batch_size\n self.n_batch = math.ceil(self.n_samples / batch_size)",
"def set_batch_size(self, batch_size):\n self.batch_size = batch_size",
"def batch_size(self, batch_size: ConfigNodePropertyInteger):\n\n self._batch_size =... | [
"0.7431989",
"0.7298853",
"0.7241127",
"0.69462866",
"0.6937012",
"0.67112094",
"0.6516663",
"0.64337176",
"0.6352927",
"0.6261257",
"0.6261257",
"0.6261257",
"0.6261257",
"0.6261257",
"0.62382287",
"0.61667866",
"0.6156479",
"0.6126977",
"0.60776895",
"0.60061693",
"0.600216... | 0.78923297 | 0 |
Build a TensorRT engine from ONNX using the older API. | def build_engine(model_name, do_int8, dla_core, verbose=False):
cfg_file_path = model_name + '.cfg'
parser = DarkNetParser()
layer_configs = parser.parse_cfg_file(cfg_file_path)
net_c = get_c(layer_configs)
net_h, net_w = get_h_and_w(layer_configs)
print('Loading the ONNX file...')
onnx_dat... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def build_engine():\n with trt.Builder(TRT_LOGGER) as builder, builder.create_network() as network, trt.OnnxParser(network, TRT_LOGGER) as parser:\n builder.max_workspace_size = 1 << 30 # 1GB\n builder.max_batch_size = 1\n builder.fp16_mode = mode_fp16\n # builder... | [
"0.75302416",
"0.73794323",
"0.7356037",
"0.7165194",
"0.63997895",
"0.6384399",
"0.6346997",
"0.63233453",
"0.5783392",
"0.5469623",
"0.54011154",
"0.5373637",
"0.53584635",
"0.53226984",
"0.5289722",
"0.5102888",
"0.50943995",
"0.5093108",
"0.5031483",
"0.50289315",
"0.4997... | 0.6941727 | 4 |
Create a TensorRT engine for ONNXbased YOLO. | def main():
parser = argparse.ArgumentParser()
parser.add_argument(
'-v', '--verbose', action='store_true',
help='enable verbose output (for debugging)')
parser.add_argument(
'-c', '--category_num', type=int,
help='number of object categories (obsolete)')
parser.add_argum... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def build_engine(model_name, do_int8, dla_core, verbose=False):\n cfg_file_path = model_name + '.cfg'\n parser = DarkNetParser()\n layer_configs = parser.parse_cfg_file(cfg_file_path)\n net_c = get_c(layer_configs)\n net_h, net_w = get_h_and_w(layer_configs)\n\n print('Loading the ONNX file...')\... | [
"0.7240884",
"0.7089738",
"0.7071886",
"0.66323364",
"0.6563251",
"0.62431705",
"0.60698307",
"0.60199344",
"0.5975187",
"0.597299",
"0.59692544",
"0.5869984",
"0.56920403",
"0.54563993",
"0.5443414",
"0.5427093",
"0.53920895",
"0.53632927",
"0.534049",
"0.5320027",
"0.531242... | 0.69439214 | 3 |
Measures angle between points u, v and w in positive or negative direction | def _angle(u, v, w, d='+'):
vu = np.arctan2(u[1] - v[1], u[0] - v[0])
vw = np.arctan2(w[1] - v[1], w[0] - v[0])
phi = vw - vu
if phi < 0:
phi += 2 * np.pi
if d == '-':
phi = 2 * np.pi - phi
return np.round(phi, 6) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def angle(v,w):\n cosx = dot_product(v,w) / (length(v) * length(w))\n #det = determinant(A,B)\n rad = math.acos(cosx) # in radians\n return rad\n #return rad*180/math.pi # returns degrees",
"def signed_angle(self, u, v):\n return atan2(u.x * v.y - u.y * v.x, u.x * v.x + u.y * v.y)",
"def ... | [
"0.79517096",
"0.7312548",
"0.7312548",
"0.72500753",
"0.7232059",
"0.7214304",
"0.712939",
"0.71266484",
"0.7106797",
"0.70677173",
"0.7058549",
"0.70381576",
"0.70160705",
"0.69562507",
"0.69332904",
"0.6918083",
"0.6891398",
"0.68336743",
"0.6822264",
"0.6813132",
"0.68025... | 0.8139179 | 0 |
Returns intersection of lines AB and CD | def _intersect(A, B, C, D):
d = (B[0] - A[0]) * (D[1] - C[1]) - (D[0] - C[0]) * (B[1] - A[1])
x = ((B[0] * A[1] - A[0] * B[1]) * (D[0] - C[0]) - (D[0] * C[1] - C[0] * D[1]) * (B[0] - A[0])) / d
y = ((B[0] * A[1] - A[0] * B[1]) * (D[1] - C[1]) - (D[0] * C[1] - C[0] * D[1]) * (B[1] - A[1])) / d
return (np... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def intersect(A,B,C,D):\n i = ccw(A,C,D) != ccw(B,C,D) and ccw(A,B,C) != ccw(A,B,D)\n #if i:\n # canvas.polyline( [ A,B ], style=4 , tags = (\"debug\"))\n # canvas.polyline( [ C,D ], style=4 , tags = (\"debug\"))\n #else:\n # canvas.polyline( [ A,B ], style=1... | [
"0.745266",
"0.7374789",
"0.7243203",
"0.6923169",
"0.68880177",
"0.6886507",
"0.686967",
"0.68426377",
"0.68232024",
"0.68200475",
"0.6819899",
"0.67877644",
"0.67731494",
"0.67715836",
"0.67273533",
"0.6700855",
"0.66976535",
"0.6671102",
"0.66155475",
"0.6599032",
"0.65976... | 0.71551526 | 3 |
Constructs optimal polygon and returns pivot points. Based on 'An Optimal Algorithm for Approximating a. Piecewise Linear Function. HIROSHI IMAI and MASAO Iri.' | def optimal_polygon(y, w=0.5, debug=False):
# Make sure that we use numpy array
y = np.array(y)
x = np.arange(len(y))
# Initialization
y = np.round(y, 6)
p_plus = (x[0], y[0] + w)
l_plus = (x[0], y[0] + w)
r_plus = (x[1], y[1] + w)
s_plus = {(x[0], y[0] + w): (x[1], y[1] + w)}
t... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def AH_polytope_vertices(P,N=200,epsilon=0.001,solver=\"Gurobi\"):\n try:\n P.vertices_2D\n if type(P.vertices_2D) == type(None):\n raise Exception\n except:\n Q=pp.to_AH_polytope(P)\n v=np.empty((N,2))\n prog=MP.MathematicalProgram()\n zeta=prog.NewContin... | [
"0.57646203",
"0.5670267",
"0.5659422",
"0.5649031",
"0.5645295",
"0.5642635",
"0.5558218",
"0.5536285",
"0.5507396",
"0.5487818",
"0.548102",
"0.54647756",
"0.54523736",
"0.54472464",
"0.5441451",
"0.5440161",
"0.54328644",
"0.54283845",
"0.54261845",
"0.540085",
"0.538319",... | 0.64187914 | 0 |
Initializes the model with weights and bias Conv layers get random weights from a normal distribution and bias is set to 0 | def _initialize_weights(self):
for m in self.modules():
if isinstance(m, nn.Conv2d):
m.weight.data.normal_(0, 0.05)
if m.bias is not None:
m.bias.data.zero_() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def weights_init(model):\n classname = model.__class__.__name__\n if classname.find('Conv') != -1:\n nn.init.normal_(model.weight.data, 0.0, 0.02)\n elif classname.find('BatchNorm') != -1:\n nn.init.normal_(model.weight.data, 1.0, 0.02)\n nn.init.constant_(model.bias.data, 0)",
"def... | [
"0.7880966",
"0.77078766",
"0.76977557",
"0.7682001",
"0.7630087",
"0.7623425",
"0.7612172",
"0.7602894",
"0.7602894",
"0.7602894",
"0.75905013",
"0.7564779",
"0.7564779",
"0.75269467",
"0.7512145",
"0.751193",
"0.75105506",
"0.75105506",
"0.75105506",
"0.7505411",
"0.748072"... | 0.7725655 | 1 |
Iterates the model for a single batch of data, calculates the loss and updates the model parameters. | def step(self, data: torch.Tensor) -> Tuple:
image, _ = data
image = image.to(self.device)
batch_size = image.shape[0]
label = torch.full(
(batch_size,), self.label, dtype=torch.float, device=self.device
)
self.zero_grad()
# Forward pass
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _step(self):\n # Make a minibatch of training data\n num_train = self.X_train.shape[0]\n # random choose the samples\n batch_mask = np.random.choice(num_train, self.batch_size)\n X_batch = self.X_train[batch_mask]\n y_batch = self.y_train[batch_mask]\n\n # Compu... | [
"0.7212915",
"0.7017608",
"0.6971652",
"0.6964363",
"0.69216657",
"0.69077504",
"0.6877378",
"0.6855926",
"0.68448675",
"0.6819717",
"0.6796839",
"0.6751691",
"0.67510575",
"0.6746935",
"0.6739293",
"0.6734196",
"0.6725004",
"0.67016226",
"0.66975546",
"0.66851646",
"0.667173... | 0.0 | -1 |
Test that int coefficients list is the same as int args. | def test_polynomial_from_int_list_same_as_from_int_args(self):
coeffs = list(range(10))
p1 = Polynomial(coeffs)
p2 = Polynomial(*coeffs)
self.assertEqual(p1, p2) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_polynomial_from_complex_list_same_as_from_complex_args(self):\n coeffs = [1j, 2j, 3j, 4j, 5j]\n\n p1 = Polynomial(coeffs)\n p2 = Polynomial(*coeffs)\n\n self.assertEqual(p1, p2)",
"def test_polynomial_from_float_list_same_as_from_float_args(self):\n coeffs = [1.0, 2.0,... | [
"0.6644739",
"0.65174896",
"0.63068694",
"0.6154316",
"0.6090756",
"0.6005572",
"0.5953733",
"0.59250826",
"0.58949125",
"0.5890805",
"0.58439744",
"0.5775465",
"0.56965137",
"0.56900537",
"0.56873983",
"0.5670121",
"0.5649684",
"0.56389946",
"0.5596872",
"0.5583224",
"0.5582... | 0.7663754 | 0 |
Test that float coefficients list is the same as float args. | def test_polynomial_from_float_list_same_as_from_float_args(self):
coeffs = [1.0, 2.0, 3.0, 4.0, 5.0]
p1 = Polynomial(coeffs)
p2 = Polynomial(*coeffs)
self.assertEqual(p1, p2) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_float():\n floatify = fields.FloatField().adapt\n\n for input, expect in [\n (1.1, 1.1),\n (11, 11.0),\n (int(5.7), 5)\n ]:\n assert floatify(input) == expect",
"def test_float_single_precision(self):\n data = service_call.encode_call(\"foo\", 1. + 1e-8)\n ... | [
"0.6789111",
"0.66062117",
"0.6594493",
"0.65153867",
"0.6490171",
"0.6432928",
"0.6408931",
"0.63205534",
"0.621962",
"0.62155515",
"0.6156101",
"0.6154042",
"0.6144872",
"0.6143194",
"0.61035675",
"0.609526",
"0.6072951",
"0.6066457",
"0.60082364",
"0.60078156",
"0.5991443"... | 0.7843906 | 0 |
Test that complex coefficients list is the same as complex args. | def test_polynomial_from_complex_list_same_as_from_complex_args(self):
coeffs = [1j, 2j, 3j, 4j, 5j]
p1 = Polynomial(coeffs)
p2 = Polynomial(*coeffs)
self.assertEqual(p1, p2) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_coefficients(self):\n\n coefs = self.cs.coefficients\n\n self.assertEqual(coefs, (1, 0, 1, 0, 0, -1))",
"def complex_check(*args, func=None):\n func = func or inspect.stack()[2][3]\n for var in args:\n if not isinstance(var, numbers.Complex):\n name = type(var).__na... | [
"0.64052147",
"0.63521355",
"0.63007945",
"0.62753785",
"0.6151941",
"0.61271626",
"0.61183167",
"0.61162865",
"0.611375",
"0.61096394",
"0.6094857",
"0.6062941",
"0.6048559",
"0.60343206",
"0.5961963",
"0.589964",
"0.58850867",
"0.58730483",
"0.5854286",
"0.583472",
"0.58049... | 0.76808316 | 0 |
Test that char coefficients list is the same as string args. | def test_polynomial_from_string_the_same_as_string_args(self):
coeffs = "abcdefghijklmnopqrstuvwxyz"
p1 = Polynomial(coeffs)
p2 = Polynomial(*coeffs)
self.assertEqual(p1, p2) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_polynomial_from_complex_list_same_as_from_complex_args(self):\n coeffs = [1j, 2j, 3j, 4j, 5j]\n\n p1 = Polynomial(coeffs)\n p2 = Polynomial(*coeffs)\n\n self.assertEqual(p1, p2)",
"def test_polynomial_from_float_list_same_as_from_float_args(self):\n coeffs = [1.0, 2.0,... | [
"0.6426459",
"0.62890345",
"0.61752516",
"0.57198757",
"0.5683991",
"0.56493175",
"0.55491936",
"0.5545193",
"0.5514456",
"0.54702836",
"0.5439413",
"0.5420576",
"0.5401311",
"0.5392905",
"0.5379616",
"0.5357651",
"0.534969",
"0.53487754",
"0.5347308",
"0.53468424",
"0.532293... | 0.70586073 | 0 |
Test leading terms with coefficients equal to zero are removed. | def test_leading_zeroes_are_removed(self):
p1 = Polynomial(1, 2, 3, 0)
p2 = Polynomial(0, 0, 0, 1, 2, 3, 0)
self.assertEqual(repr(p1), repr(p2))
self.assertEqual(str(p1), str(p2))
self.assertEqual(p1, p2) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def RemoveZeroVar(chain):\n return chain[:, np.invert((np.sum(np.var(chain, axis=0), axis=1)<1e-10)), :]",
"def RemoveZeroVar(chain):\n\treturn chain[:, np.invert((np.sum(np.var(chain, axis=0), axis=1)<1e-10)), :]",
"def filter_zeros(X):\n\tnoNonzeros = np.count_nonzero(X, axis=1)\n\tmask = np.where(noNonze... | [
"0.6658199",
"0.661656",
"0.6323092",
"0.63190866",
"0.63174623",
"0.63161105",
"0.62660897",
"0.614358",
"0.59933215",
"0.5926543",
"0.5891914",
"0.58808076",
"0.5664288",
"0.56272715",
"0.5626824",
"0.5616741",
"0.5593082",
"0.5560264",
"0.55594355",
"0.55326587",
"0.551336... | 0.64608777 | 2 |
Test that the default Monomial is 'x'. | def test_default_monomial_is_x(self):
m = Monomial()
expect = Monomial(1, 1)
self.assertEqual(repr(expect), repr(m))
self.assertEqual(str(expect), str(m))
self.assertEqual(expect, m) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_binomial_default_init(self):\n expected = Polynomial(1, 1, 0)\n\n b = Binomial()\n\n self.assertEqual(expected, b)",
"def test_binomial(self):\n with Model() as model:\n Binomial('x', 10, 0.5)\n steps = assign_step_methods(model, [])\n assert isin... | [
"0.6709728",
"0.6651543",
"0.6318743",
"0.6294019",
"0.6075693",
"0.6065729",
"0.59952956",
"0.597316",
"0.5902657",
"0.5834677",
"0.57665014",
"0.5745749",
"0.57422376",
"0.5699372",
"0.5690261",
"0.5690261",
"0.56779015",
"0.5614231",
"0.5602316",
"0.5587988",
"0.55691445",... | 0.82594764 | 0 |
Test that the default Constant is '1'. | def test_default_constant_is_one(self):
c = Constant()
expect = Constant(1)
self.assertEqual(expect, c) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def constant(_):\n return 1.",
"def test_default(self):\r\n self.assertEqual(self.option.default, 1234)",
"def test_constant(x):\n return 18 * x",
"def test_const(self):\n\n constvar = const(232)\n for x in constvar.sample(1000):\n self.assertEqual(x, 232)",
"def test_... | [
"0.687723",
"0.6777304",
"0.6772265",
"0.66257215",
"0.6550163",
"0.6449326",
"0.64484346",
"0.64447016",
"0.6430842",
"0.6398146",
"0.63644564",
"0.63301975",
"0.6204521",
"0.6198143",
"0.6190211",
"0.61711526",
"0.6158516",
"0.61557084",
"0.61342233",
"0.61279845",
"0.60566... | 0.8484716 | 0 |
Test that a binomial is successfully initialized from monomials. | def test_binomial_init_from_monomials(self):
m1 = Monomial(3, 3)
m2 = Monomial(4, 4)
t1 = (3, 3)
t2 = (4, 4)
expected = Polynomial([m1, m2], from_monomials=True)
b1 = Binomial(m1, m2)
b2 = Binomial(t1, t2)
self.assertEqual(expected, b1)
self.asse... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_binomial_default_init(self):\n expected = Polynomial(1, 1, 0)\n\n b = Binomial()\n\n self.assertEqual(expected, b)",
"def test_linear_binomial_init(self):\n a, b = 6, 9\n expected = Polynomial(a, b)\n\n lb = LinearBinomial(a, b)\n\n self.assertEqual(expec... | [
"0.77222264",
"0.7684172",
"0.75849617",
"0.73196894",
"0.70824516",
"0.68907064",
"0.67966276",
"0.6383654",
"0.6381743",
"0.6369938",
"0.62478167",
"0.6190149",
"0.6160251",
"0.61240447",
"0.61185217",
"0.6089801",
"0.6064514",
"0.6060454",
"0.60261905",
"0.6021926",
"0.599... | 0.8368487 | 0 |
Test that the default binomial is 'x^2 + x'. | def test_binomial_default_init(self):
expected = Polynomial(1, 1, 0)
b = Binomial()
self.assertEqual(expected, b) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_binomial(self):\r\n # Check over two calls to see if the random state is correctly updated.\r\n rng_R = random_state_type()\r\n # Use non-default parameters, and larger dimensions because of\r\n # the integer nature of the result\r\n post_r, bin = binomial(rng_R, (7, 12)... | [
"0.71698135",
"0.7143859",
"0.7033473",
"0.699451",
"0.67489547",
"0.64821094",
"0.6462715",
"0.6461001",
"0.6435561",
"0.64303493",
"0.6430253",
"0.6393817",
"0.63917583",
"0.6366536",
"0.63607436",
"0.62750036",
"0.623247",
"0.62285364",
"0.6214193",
"0.61374",
"0.6132766",... | 0.73975796 | 0 |
Test that a linear binomial is successfully initialized. | def test_linear_binomial_init(self):
a, b = 6, 9
expected = Polynomial(a, b)
lb = LinearBinomial(a, b)
self.assertEqual(expected, lb) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_linear_binomial_default_init(self):\n expected = Polynomial(1, 1)\n\n b = LinearBinomial()\n\n self.assertEqual(expected, b)",
"def test_binomial_default_init(self):\n expected = Polynomial(1, 1, 0)\n\n b = Binomial()\n\n self.assertEqual(expected, b)",
"def t... | [
"0.811033",
"0.77347654",
"0.7542717",
"0.73373723",
"0.71329874",
"0.68804437",
"0.63971347",
"0.6260769",
"0.61828727",
"0.6143738",
"0.6031708",
"0.6009319",
"0.59835136",
"0.5914772",
"0.5914414",
"0.5891909",
"0.5872258",
"0.58556885",
"0.58434486",
"0.5841006",
"0.58192... | 0.86035264 | 0 |
Test that the default linear binomial is 'x + 1'. | def test_linear_binomial_default_init(self):
expected = Polynomial(1, 1)
b = LinearBinomial()
self.assertEqual(expected, b) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_linear_binomial_init(self):\n a, b = 6, 9\n expected = Polynomial(a, b)\n\n lb = LinearBinomial(a, b)\n\n self.assertEqual(expected, lb)",
"def test_binomial_default_init(self):\n expected = Polynomial(1, 1, 0)\n\n b = Binomial()\n\n self.assertEqual(expe... | [
"0.7473286",
"0.7114862",
"0.7019656",
"0.6945343",
"0.6914386",
"0.6560414",
"0.65247864",
"0.6313171",
"0.63047546",
"0.6264179",
"0.6236071",
"0.6144576",
"0.6119696",
"0.6113437",
"0.60729533",
"0.604535",
"0.60433036",
"0.5990155",
"0.5965983",
"0.592644",
"0.58875066",
... | 0.7432039 | 1 |
Test that a trinomial is successfully initialized from monomials. | def test_trinomial_init_from_monomials(self):
m1 = Monomial(3, 3)
m2 = Monomial(4, 4)
m3 = Monomial(5, 5)
expected = Polynomial([m1, m2, m3], from_monomials=True)
t = Trinomial(m1, m2, m3)
self.assertEqual(expected, t) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_trinomial_default_init(self):\n expected = Polynomial(1, 1, 1, 0)\n\n t = Trinomial()\n\n self.assertEqual(expected, t)",
"def test_binomial_init_from_monomials(self):\n m1 = Monomial(3, 3)\n m2 = Monomial(4, 4)\n t1 = (3, 3)\n t2 = (4, 4)\n expect... | [
"0.7607789",
"0.70820785",
"0.68559223",
"0.6678353",
"0.66027355",
"0.65215725",
"0.6508552",
"0.6466536",
"0.63836294",
"0.6359102",
"0.6238134",
"0.6004065",
"0.5979927",
"0.59176403",
"0.5879079",
"0.58340746",
"0.575583",
"0.57349175",
"0.5723228",
"0.56603",
"0.5614115"... | 0.85773104 | 0 |
Test that the default trinomial is 'x^3 + x^2 + x'. | def test_trinomial_default_init(self):
expected = Polynomial(1, 1, 1, 0)
t = Trinomial()
self.assertEqual(expected, t) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_trinomial_init_from_monomials(self):\n m1 = Monomial(3, 3)\n m2 = Monomial(4, 4)\n m3 = Monomial(5, 5)\n expected = Polynomial([m1, m2, m3], from_monomials=True)\n\n t = Trinomial(m1, m2, m3)\n\n self.assertEqual(expected, t)",
"def test_quadratic_trinomial_init... | [
"0.7251187",
"0.6777519",
"0.66679484",
"0.61904955",
"0.5993573",
"0.5939095",
"0.59343827",
"0.5921262",
"0.5867161",
"0.5856125",
"0.5820007",
"0.5761722",
"0.57567984",
"0.5751864",
"0.5721351",
"0.5682329",
"0.55713683",
"0.55346286",
"0.54696476",
"0.54348075",
"0.54323... | 0.7325828 | 0 |
Test that a quadratic trinomial is successfully initialized. | def test_quadratic_trinomial_init(self):
a, b, c = 2, 3, 4
expected = Polynomial(a, b, c)
qt = QuadraticTrinomial(a, b, c)
self.assertEqual(expected, qt) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_quadratic_trinomial_default_init(self):\n expected = Polynomial(1, 1, 1)\n\n qt = QuadraticTrinomial()\n\n self.assertEqual(expected, qt)",
"def test_trinomial_default_init(self):\n expected = Polynomial(1, 1, 1, 0)\n\n t = Trinomial()\n\n self.assertEqual(expec... | [
"0.82322776",
"0.74678355",
"0.7265662",
"0.70847714",
"0.69415426",
"0.6507963",
"0.61808145",
"0.61517614",
"0.59596646",
"0.5930612",
"0.58924574",
"0.58751446",
"0.58665466",
"0.58505654",
"0.5826098",
"0.5792503",
"0.5769304",
"0.5746371",
"0.57374394",
"0.5714344",
"0.5... | 0.87185836 | 0 |
Test that the default quadratic trinomial is 'x^2 + x + 1'. | def test_quadratic_trinomial_default_init(self):
expected = Polynomial(1, 1, 1)
qt = QuadraticTrinomial()
self.assertEqual(expected, qt) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_quadratic_trinomial_init(self):\n a, b, c = 2, 3, 4\n expected = Polynomial(a, b, c)\n\n qt = QuadraticTrinomial(a, b, c)\n\n self.assertEqual(expected, qt)",
"def test_trinomial_default_init(self):\n expected = Polynomial(1, 1, 1, 0)\n\n t = Trinomial()\n\n ... | [
"0.7804595",
"0.69539523",
"0.6805754",
"0.64076424",
"0.6281322",
"0.61109155",
"0.6068319",
"0.5887185",
"0.58835185",
"0.58297175",
"0.574804",
"0.56945467",
"0.5653709",
"0.5635208",
"0.55781317",
"0.5573634",
"0.5558299",
"0.5552016",
"0.55515176",
"0.5544936",
"0.553825... | 0.7712339 | 1 |
Test that LinearBinomial(0, ?) raises a ValueError. | def test_linear_binomial_fails_leading_zero(self):
self.assertRaises(ValueError, LinearBinomial, 0, 1) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_monomial_degree_positive_int(self):\n self.assertRaises(ValueError, Monomial, 1, -1)\n self.assertRaises(ValueError, Monomial, 1, 1.2)",
"def test_quadratic_trinomial_fails_leading_zero(self):\n self.assertRaises(ValueError, QuadraticTrinomial, 0, 1)",
"def test_linear_binomial_in... | [
"0.72467434",
"0.6912627",
"0.6889316",
"0.6815802",
"0.6526083",
"0.64662707",
"0.64544886",
"0.64476573",
"0.62807524",
"0.6230934",
"0.6198869",
"0.61734957",
"0.6163279",
"0.6097373",
"0.60639113",
"0.60281086",
"0.6027279",
"0.60225606",
"0.6016836",
"0.60164136",
"0.601... | 0.881032 | 0 |
Test that QuadraticTrinomial(0, ?) raises a ValueError. | def test_quadratic_trinomial_fails_leading_zero(self):
self.assertRaises(ValueError, QuadraticTrinomial, 0, 1) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_quadratic_trinomial_init(self):\n a, b, c = 2, 3, 4\n expected = Polynomial(a, b, c)\n\n qt = QuadraticTrinomial(a, b, c)\n\n self.assertEqual(expected, qt)",
"def test_quadratic_trinomial_default_init(self):\n expected = Polynomial(1, 1, 1)\n\n qt = QuadraticTr... | [
"0.7169448",
"0.6849368",
"0.6651373",
"0.6453824",
"0.6274508",
"0.6258277",
"0.62512386",
"0.6169402",
"0.6141827",
"0.6130322",
"0.612695",
"0.6112168",
"0.6083564",
"0.60681117",
"0.60681117",
"0.60443914",
"0.6040365",
"0.599971",
"0.599907",
"0.59918",
"0.59833556",
"... | 0.88411075 | 0 |
Test that monomial only accepts a positive int. | def test_monomial_degree_positive_int(self):
self.assertRaises(ValueError, Monomial, 1, -1)
self.assertRaises(ValueError, Monomial, 1, 1.2) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_linear_binomial_fails_leading_zero(self):\n self.assertRaises(ValueError, LinearBinomial, 0, 1)",
"def assert_positive(x):\n \n assert(all(x) >= 0)",
"def _is_non_negative_int(item):\n if not isinstance(item, int):\n return False\n return item >= 0",
"def one_positive(self)... | [
"0.64496636",
"0.64230645",
"0.6393725",
"0.6347339",
"0.63327885",
"0.6302501",
"0.6286961",
"0.62112695",
"0.6187927",
"0.6166724",
"0.6150532",
"0.6146198",
"0.608574",
"0.6075579",
"0.60420036",
"0.60391825",
"0.6016536",
"0.6016526",
"0.6011341",
"0.60089564",
"0.5978152... | 0.76611537 | 0 |
Test that Polynomial from monomials with > 2 tuples fails. | def test_polynomial_with_non_monomial_terms(self):
self.assertRaises(
TypeError,
Polynomial,
[(1, 2, 3)],
from_monomials=True
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test():\n assert str(Polynomial(0, 1, 0, -1, 4, -2, 0, 1, 3, 0)) == \"3x^8 + x^7 - 2x^5 + 4x^4 - x^3 + x\"\n assert str(Polynomial([-5, 1, 0, -1, 4, -2, 0, 1, 3, 0])) == \"3x^8 + x^7 - 2x^5 + 4x^4 - x^3 + x - 5\"\n assert str(Polynomial(x7=1, x4=4, x8=3, x9=0, x0=0, x5=-2, x3=-1, x1=1)) == \"3x^8 + x^... | [
"0.6752848",
"0.66205114",
"0.6448485",
"0.6309701",
"0.619733",
"0.6101042",
"0.6054037",
"0.60104465",
"0.59679574",
"0.59433794",
"0.591065",
"0.59005946",
"0.58211356",
"0.5815051",
"0.5810266",
"0.5763252",
"0.57513654",
"0.5706983",
"0.5669737",
"0.5645254",
"0.56404215... | 0.7779006 | 0 |
Returns True if word[i] is a consonant, False otherwise | def _is_consonant(self, word, i):
if word[i] in self.vowels:
return False
if word[i] == "y":
if i == 0:
return True
else:
return not self._is_consonant(word, i - 1)
return True | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_consonant(text):\n return text.lower() in AVRO_CONSONANTS",
"def is_consonant(x):\n if is_vowel(x) == True:\n return False\n elif len(x) > 1 or type(x) == int:\n return False",
"def basic_check(word):\n if word[-1] == \"b\" or word[-1] == \"g\":\n return False\n conso... | [
"0.756881",
"0.7266516",
"0.70983154",
"0.66584325",
"0.64638054",
"0.63225394",
"0.63023937",
"0.6296",
"0.606454",
"0.6029257",
"0.5995777",
"0.59618133",
"0.58478487",
"0.5808676",
"0.57903886",
"0.5783822",
"0.5721623",
"0.56929076",
"0.5665967",
"0.5625816",
"0.55507475"... | 0.87187904 | 0 |
r"""Returns the 'measure' of stem, per definition in the paper | def _measure(self, stem):
cv_sequence = ""
# Construct a string of 'c's and 'v's representing whether each
# character in `stem` is a consonant or a vowel.
# e.g. 'falafel' becomes 'cvcvcvc',
# 'architecture' becomes 'vcccvcvccvcv'
for i in range(len(stem)):
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getStem(self,):\n\t\treturn self.stem;",
"def stem(self) -> str:",
"def stemWord(self,word):\n if(\"stem\" in self._classes):\n return self._stem.stemmingWord(word)",
"def stem(s):\r\n if len(s) < 5 :\r\n return s\r\n \r\n if s[-3:] == 'ing':\r\n if s[-4] == s[-5]... | [
"0.71413904",
"0.6885746",
"0.6649694",
"0.65597755",
"0.64486533",
"0.6432257",
"0.63764393",
"0.6274381",
"0.6102599",
"0.60810894",
"0.6079473",
"0.6050913",
"0.5986306",
"0.5979911",
"0.5979911",
"0.5920591",
"0.5897531",
"0.58566743",
"0.58331126",
"0.58018064",
"0.57997... | 0.725565 | 0 |
Returns True if stem contains a vowel, else False | def _contains_vowel(self, stem):
for i in range(len(stem)):
if not self._is_consonant(stem, i):
return True
return False | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_vowel(text):\n return text.lower() in AVRO_VOWELS",
"def is_vowel(self, letter):\n\n if letter in (\"a\", \"e\", \"i\", \"o\", \"u\", \"A\", \"E\", \"I\", \"O\", \"U\"):\n return True\n return False",
"def isvowel(phone, semivowels=True):\n if semivowels:\n return (... | [
"0.774371",
"0.7515274",
"0.71859574",
"0.71172595",
"0.7006897",
"0.6654589",
"0.6616312",
"0.6613333",
"0.65657127",
"0.6405958",
"0.62813777",
"0.6215642",
"0.62133026",
"0.6119609",
"0.6114145",
"0.61074984",
"0.60806847",
"0.60606885",
"0.6021445",
"0.6012325",
"0.600550... | 0.8641102 | 0 |
Implements condition d from the paper Returns True if word ends with a double consonant | def _ends_double_consonant(self, word):
return (
len(word) >= 2
and word[-1] == word[-2]
and self._is_consonant(word, len(word) - 1)
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _ends_cvc(self, word):\n return (\n len(word) >= 3\n and self._is_consonant(word, len(word) - 3)\n and not self._is_consonant(word, len(word) - 2)\n and self._is_consonant(word, len(word) - 1)\n and word[-1] not in (\"w\", \"x\", \"y\")\n ) o... | [
"0.7559633",
"0.71442723",
"0.70636475",
"0.68884534",
"0.68107796",
"0.64119506",
"0.6324027",
"0.63016343",
"0.62774265",
"0.6181726",
"0.6108568",
"0.5940099",
"0.59349805",
"0.5891619",
"0.58743113",
"0.5873399",
"0.58639944",
"0.58625084",
"0.583633",
"0.57959324",
"0.57... | 0.86897075 | 0 |
Implements condition o from the paper | def _ends_cvc(self, word):
return (
len(word) >= 3
and self._is_consonant(word, len(word) - 3)
and not self._is_consonant(word, len(word) - 2)
and self._is_consonant(word, len(word) - 1)
and word[-1] not in ("w", "x", "y")
) or (
se... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def condition(self) -> global___Expression:",
"def condition(self) -> global___Expression:",
"def condition(i,n,los):\n\n return i < n",
"def conditions():\n pass",
"def conditional(self) -> global___Statement.Conditional:",
"def condition(self):\n return True",
"def logic(self):\r\n ... | [
"0.75834596",
"0.75834596",
"0.68898284",
"0.6680457",
"0.6488428",
"0.63894796",
"0.63375384",
"0.6156285",
"0.61141753",
"0.6024125",
"0.602071",
"0.5994629",
"0.5994629",
"0.59736264",
"0.59429175",
"0.59028864",
"0.59028864",
"0.5874801",
"0.58645445",
"0.58484",
"0.58244... | 0.0 | -1 |
Replaces `suffix` of `word` with `replacement | def _replace_suffix(self, word, suffix, replacement):
assert word.endswith(suffix), "Given word doesn't end with given suffix"
if suffix == "":
return word + replacement
else:
return word[: -len(suffix)] + replacement | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def add_suffix(word, suffix):\n suffix, sep, rest = suffix.partition(' ')\n expanded = _add_suffix(word, suffix)\n return expanded + sep + rest",
"def suffix_replace(original, old, new):\n ...",
"def replace_suffix (name, new_suffix):\n assert isinstance(name, basestring)\n assert isinstance(... | [
"0.7701713",
"0.7665795",
"0.66624486",
"0.64749455",
"0.63054746",
"0.6149442",
"0.61022633",
"0.6039127",
"0.6027953",
"0.6017234",
"0.59906757",
"0.59685665",
"0.5966546",
"0.5966546",
"0.5966546",
"0.5966546",
"0.5965606",
"0.5955456",
"0.59381366",
"0.59128815",
"0.58945... | 0.89509475 | 0 |
Applies the first applicable suffixremoval rule to the word Takes a word and a list of suffixremoval rules represented as 3tuples, with the first element being the suffix to remove, the second element being the string to replace it with, and the final element being the condition for the rule to be applicable, or None i... | def _apply_rule_list(self, word, rules):
for rule in rules:
suffix, replacement, condition = rule
if suffix == "*d" and self._ends_double_consonant(word):
stem = word[:-2]
if condition is None or condition(stem):
return stem + replaceme... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def apply_rule(word):\n return re.sub(search, replace, word)",
"def word_clean(self, word):\n word_ori = word\n if word not in self.vocab_list: # if the word is not in the vocabulary\n word = word.strip(\",.!?\") # delete punctuation, such as periods, commas\n for i in ra... | [
"0.6241091",
"0.6044743",
"0.58442014",
"0.56673056",
"0.5549546",
"0.55156666",
"0.5505275",
"0.53335893",
"0.53203624",
"0.52443767",
"0.5229112",
"0.52215064",
"0.5208779",
"0.51806766",
"0.51736385",
"0.5163402",
"0.51501673",
"0.51331615",
"0.5123183",
"0.5071901",
"0.50... | 0.68673265 | 0 |
Implements Step 1a from "An algorithm for suffix stripping" | def _step1a(self, word):
# this NLTK-only rule extends the original algorithm, so
# that 'flies'->'fli' but 'dies'->'die' etc
if self.mode == self.NLTK_EXTENSIONS:
if word.endswith("ies") and len(word) == 4:
return self._replace_suffix(word, "ies", "ie")
retu... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def removesuffix(self, x) -> String:\n pass",
"def strip_suffix(s, suffixes):\n for suffix in suffixes:\n if s.endswith(suffix):\n return s.rstrip(suffix)\n return s",
"def FindSuffix(self):\n self.numSuffixes = 0\n self.forceStress = 0\n resultslist = []\n ... | [
"0.7110432",
"0.6868396",
"0.6854343",
"0.6673925",
"0.65046847",
"0.64575976",
"0.63519484",
"0.6296716",
"0.62657344",
"0.6229608",
"0.6207564",
"0.6196186",
"0.6186707",
"0.6150748",
"0.61226726",
"0.6098476",
"0.60928965",
"0.60082465",
"0.5958626",
"0.5953981",
"0.594008... | 0.0 | -1 |
Implements Step 1b from "An algorithm for suffix stripping" | def _step1b(self, word):
# this NLTK-only block extends the original algorithm, so that
# 'spied'->'spi' but 'died'->'die' etc
if self.mode == self.NLTK_EXTENSIONS:
if word.endswith("ied"):
if len(word) == 4:
return self._replace_suffix(word, "ied"... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def removesuffix(self, x) -> String:\n pass",
"def strip_suffix(s, suffixes):\n for suffix in suffixes:\n if s.endswith(suffix):\n return s.rstrip(suffix)\n return s",
"def FindSuffix(self):\n self.numSuffixes = 0\n self.forceStress = 0\n resultslist = []\n ... | [
"0.71120393",
"0.6927874",
"0.68953496",
"0.6655125",
"0.6539592",
"0.64849085",
"0.6369599",
"0.6365083",
"0.62968457",
"0.6283579",
"0.62531453",
"0.6191985",
"0.6188154",
"0.6157653",
"0.61504936",
"0.6122239",
"0.6086603",
"0.6043726",
"0.60027677",
"0.59654695",
"0.59466... | 0.54680014 | 60 |
Implements Step 1c from "An algorithm for suffix stripping" | def _step1c(self, word):
def nltk_condition(stem):
"""
This has been modified from the original Porter algorithm so
that y->i is only done when y is preceded by a consonant,
but not if the stem is only a single consonant, i.e.
(*c and not c) Y -> ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def removesuffix(self, x) -> String:\n pass",
"def strip_suffix(s, suffixes):\n for suffix in suffixes:\n if s.endswith(suffix):\n return s.rstrip(suffix)\n return s",
"def FindSuffix(self):\n self.numSuffixes = 0\n self.forceStress = 0\n resultslist = []\n ... | [
"0.7151827",
"0.7035866",
"0.68370575",
"0.6659626",
"0.658684",
"0.65657824",
"0.6438374",
"0.6393294",
"0.638715",
"0.633172",
"0.62455475",
"0.6197732",
"0.61885804",
"0.61792827",
"0.61698663",
"0.6149805",
"0.61285746",
"0.60832727",
"0.60544956",
"0.60506916",
"0.597244... | 0.0 | -1 |
This has been modified from the original Porter algorithm so that y>i is only done when y is preceded by a consonant, but not if the stem is only a single consonant, i.e. (c and not c) Y > I So 'happy' > 'happi', but 'enjoy' > 'enjoy' etc This is a much better rule. Formerly 'enjoy'>'enjoi' and 'enjoyment'>'enjoy'. Ste... | def nltk_condition(stem):
return len(stem) > 1 and self._is_consonant(stem, len(stem) - 1) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def stem(s):\n special = {'appall', 'kill', 'stroll', 'kiss', 'thrill', 'chugg', 'dress', 'err', 'express', 'fall', 'free', 'gall', 'add','cross', 'impress', 'inn', 'call', 'ball', 'bill', 'buzz'} \n ie_words = {'vying', 'lying', 'dying', 'tying'}\n short_ing = {'bring','sling','sping', 'bring', 'sing'... | [
"0.70180184",
"0.6745574",
"0.66085917",
"0.6387136",
"0.63155925",
"0.62699425",
"0.6264865",
"0.60885984",
"0.6063813",
"0.58862096",
"0.5852858",
"0.5784101",
"0.57241833",
"0.57237595",
"0.56696635",
"0.5628905",
"0.5615199",
"0.5613108",
"0.5591084",
"0.5576031",
"0.5508... | 0.6145883 | 7 |
Implements Step 2 from "An algorithm for suffix stripping" | def _step2(self, word):
if self.mode == self.NLTK_EXTENSIONS:
# Instead of applying the ALLI -> AL rule after '(a)bli' per
# the published algorithm, instead we apply it first, and,
# if it succeeds, run the result through step2 again.
if word.endswith("alli") an... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def removesuffix(self, x) -> String:\n pass",
"def strip_suffix(s, suffixes):\n for suffix in suffixes:\n if s.endswith(suffix):\n return s.rstrip(suffix)\n return s",
"def FindSuffix(self):\n self.numSuffixes = 0\n self.forceStress = 0\n resultslist = []\n ... | [
"0.7174014",
"0.7044921",
"0.6938263",
"0.6760312",
"0.6657653",
"0.6591127",
"0.6561763",
"0.64970803",
"0.6432604",
"0.6431131",
"0.63297945",
"0.63296896",
"0.63131934",
"0.6276994",
"0.6267812",
"0.6217017",
"0.617954",
"0.61749345",
"0.60950685",
"0.6058206",
"0.6054848"... | 0.0 | -1 |
Implements Step 3 from "An algorithm for suffix stripping" | def _step3(self, word):
return self._apply_rule_list(
word,
[
("icate", "ic", self._has_positive_measure),
("ative", "", self._has_positive_measure),
("alize", "al", self._has_positive_measure),
("iciti", "ic", self._has_pos... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def removesuffix(self, x) -> String:\n pass",
"def strip_suffix(s, suffixes):\n for suffix in suffixes:\n if s.endswith(suffix):\n return s.rstrip(suffix)\n return s",
"def FindSuffix(self):\n self.numSuffixes = 0\n self.forceStress = 0\n resultslist = []\n ... | [
"0.7154443",
"0.69809604",
"0.6785923",
"0.6628499",
"0.65961885",
"0.6545103",
"0.6521387",
"0.6452334",
"0.6346543",
"0.63407284",
"0.62667495",
"0.6227932",
"0.6224696",
"0.6217707",
"0.61861646",
"0.615874",
"0.6079407",
"0.60647845",
"0.604152",
"0.60256207",
"0.5979804"... | 0.0 | -1 |
Implements Step 4 from "An algorithm for suffix stripping" Step 4 (m>1) AL > revival > reviv (m>1) ANCE > allowance > allow (m>1) ENCE > inference > infer (m>1) ER > airliner > airlin (m>1) IC > gyroscopic > gyroscop (m>1) ABLE > adjustable > adjust (m>1) IBLE > defensible > defens (m>1) ANT > irritant > irrit (m>1) EM... | def _step4(self, word):
measure_gt_1 = lambda stem: self._measure(stem) > 1
return self._apply_rule_list(
word,
[
("al", "", measure_gt_1),
("ance", "", measure_gt_1),
("ence", "", measure_gt_1),
("er", "", measure_... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def strip_suffix(s, suffixes):\n for suffix in suffixes:\n if s.endswith(suffix):\n return s.rstrip(suffix)\n return s",
"def FindSuffix(self):\n self.numSuffixes = 0\n self.forceStress = 0\n resultslist = []\n for f in self.suffixes.finditer(self.wd):\n ... | [
"0.6112485",
"0.6055196",
"0.58494586",
"0.57650787",
"0.57041234",
"0.56558377",
"0.55929184",
"0.55482364",
"0.54530394",
"0.54426837",
"0.5434866",
"0.5426362",
"0.53883106",
"0.5387961",
"0.5376159",
"0.5358029",
"0.5308571",
"0.5295212",
"0.52756095",
"0.52300066",
"0.52... | 0.0 | -1 |
Implements Step 5a from "An algorithm for suffix stripping" | def _step5a(self, word):
# Note that Martin's test vocabulary and reference
# implementations are inconsistent in how they handle the case
# where two rules both refer to a suffix that matches the word
# to be stemmed, but only the condition of the second one is
# true.
#... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def removesuffix(self, x) -> String:\n pass",
"def strip_suffix(s, suffixes):\n for suffix in suffixes:\n if s.endswith(suffix):\n return s.rstrip(suffix)\n return s",
"def FindSuffix(self):\n self.numSuffixes = 0\n self.forceStress = 0\n resultslist = []\n ... | [
"0.71540284",
"0.6939131",
"0.69001156",
"0.66733253",
"0.66010237",
"0.65600574",
"0.6411394",
"0.63860726",
"0.6374319",
"0.6342698",
"0.62385917",
"0.62244904",
"0.6186158",
"0.616226",
"0.6115118",
"0.61146325",
"0.6087781",
"0.6084946",
"0.60729676",
"0.6071903",
"0.6019... | 0.0 | -1 |
Implements Step 5a from "An algorithm for suffix stripping" | def _step5b(self, word):
return self._apply_rule_list(
word, [("ll", "l", lambda stem: self._measure(word[:-1]) > 1)]
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def removesuffix(self, x) -> String:\n pass",
"def strip_suffix(s, suffixes):\n for suffix in suffixes:\n if s.endswith(suffix):\n return s.rstrip(suffix)\n return s",
"def FindSuffix(self):\n self.numSuffixes = 0\n self.forceStress = 0\n resultslist = []\n ... | [
"0.71540284",
"0.6939131",
"0.69001156",
"0.66733253",
"0.66010237",
"0.65600574",
"0.6411394",
"0.63860726",
"0.6374319",
"0.6342698",
"0.62385917",
"0.62244904",
"0.6186158",
"0.616226",
"0.6115118",
"0.61146325",
"0.6087781",
"0.6084946",
"0.60729676",
"0.6071903",
"0.6019... | 0.0 | -1 |
A demonstration of the porter stemmer on a sample from the Penn Treebank corpus. | def demo():
from nltk import stem
from nltk.corpus import treebank
stemmer = stem.PorterStemmer()
orig = []
stemmed = []
for item in treebank.fileids()[:3]:
for (word, tag) in treebank.tagged_words(item):
orig.append(word)
stemmed.append(stemmer.stem(word))
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_stemming():\n normalizer = TextNormalizer(stem=True, lemmatize=False)\n assert normalizer.transform([[\"running\"]])[\"corpus\"][0] == [\"run\"]",
"def stemming(self,sentence):",
"def stemming(data):\n stemmer = PorterStemmer()\n tokens = word_tokenize(str(data))\n new = \"\"\n for w... | [
"0.66189396",
"0.60756886",
"0.59906495",
"0.5933146",
"0.586991",
"0.58544207",
"0.579849",
"0.5790065",
"0.57402635",
"0.57275397",
"0.56813854",
"0.56547403",
"0.55455273",
"0.55287206",
"0.55226535",
"0.547887",
"0.545246",
"0.541334",
"0.53944755",
"0.539182",
"0.5376576... | 0.73346746 | 0 |
Autoencoder on the MNIST data set | def my_model(features, labels, mode, params):
#input layer
input_layer = tf.reshape(features["x"], [-1, num_input])
net = input_layer
#Encoder
for units in params['autoenc_units']:
net = tf.layers.dense(net, units=units, activation=tf.sigmoid, use_bias=True)
net = tf.layers.dense(n... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def auto_encoder(data: np.ndarray) -> np.ndarray:\n input_img = Input(shape=(784,))\n encoded = Dense(128, activation='relu')(input_img)\n encoded = Dense(64, activation='relu')(encoded)\n encoded = Dense(32, activation='relu')(encoded)\n\n decoded = Dense(64, activation='relu')(encoded)\n decode... | [
"0.7200988",
"0.6723397",
"0.6663144",
"0.66376185",
"0.65676796",
"0.65568644",
"0.64852685",
"0.6439443",
"0.6413675",
"0.6366824",
"0.63295513",
"0.6324487",
"0.6312767",
"0.63117355",
"0.6298141",
"0.6278324",
"0.6252111",
"0.61931074",
"0.61367524",
"0.6129784",
"0.60892... | 0.0 | -1 |
Return username and circle. | def __str__(self):
return 'Shipment #{} whith package #{}'.format(
self.shipment.pk,
self.package.pk,
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def username(self) -> str:",
"def username(self) -> str:",
"def get_name(username):\n print(\"We halo \" + username + \" , piye kabare?\")",
"def get_user_info_by_name(self, username: str) -> dict:",
"def get_userinfo():\n import socket\n import os \n import time\n\n hostname = socket.getho... | [
"0.6529795",
"0.6529795",
"0.6385549",
"0.5929949",
"0.5916509",
"0.5915624",
"0.5914403",
"0.58779097",
"0.58395433",
"0.5786138",
"0.57843494",
"0.57522917",
"0.57485974",
"0.571082",
"0.5698436",
"0.56953645",
"0.56304526",
"0.56168526",
"0.5596225",
"0.5596225",
"0.558747... | 0.0 | -1 |
Utility to make CompeteExperiment instance with HyperGBM. | def make_experiment(train_data,
target=None,
eval_data=None,
test_data=None,
task=None,
id=None,
callbacks=None,
searcher=None,
search_space=None,
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _create_model(n_estimators=100, max_depth=3, learning_rate=0.1):\n n_estimators = int(n_estimators)\n max_depth = int(max_depth)\n\n xgb = XGBClassifier(\n max_depth=max_depth,\n n_estimators=n_estimators,\n learning_rate=learning_rate,\n n_jobs=4, # S... | [
"0.57217205",
"0.54344875",
"0.53623545",
"0.5332581",
"0.5328322",
"0.5291525",
"0.5282335",
"0.5249221",
"0.5209219",
"0.519198",
"0.51718086",
"0.51625144",
"0.5155",
"0.5141992",
"0.50965846",
"0.5070264",
"0.5041546",
"0.5023969",
"0.5018331",
"0.50119567",
"0.50007975",... | 0.5751189 | 0 |
method to extract token from the Authorization header | def extract_bearer_token(request):
return request.headers['Authorization'].split(" ")[-1].strip() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_token_auth_header():\n auth = request.headers.get(\"Authorization\", None)\n if not auth:\n return \"authorization_header_missing\"\n\n parts = auth.split()\n\n if parts[0].lower() != \"bearer\":\n return \"invalid_header\"\n elif len(parts) == 1:\n return \"invalid_head... | [
"0.84299767",
"0.84009445",
"0.8395567",
"0.83108723",
"0.8233791",
"0.82143587",
"0.81781316",
"0.8138437",
"0.79267466",
"0.7818896",
"0.7775216",
"0.77675885",
"0.77000767",
"0.76513875",
"0.7575239",
"0.7444681",
"0.7417673",
"0.7381695",
"0.7370867",
"0.72474146",
"0.723... | 0.8390992 | 3 |
Add an Agent object to the schedule and logger. | def add(self, agent):
self._agents[agent.unique_id] = agent
self.logger.add(agent) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def append(self, agent):\n self.agents.append(agent)",
"def add_transport(self, agent):\n with self.simulation_mutex:\n self.get(\"transport_agents\")[agent.name] = agent",
"def add_manager(self, agent):\n with self.simulation_mutex:\n self.get(\"manager_agents\")[age... | [
"0.70725477",
"0.6694526",
"0.64406854",
"0.63798493",
"0.62856185",
"0.62606156",
"0.614796",
"0.60502934",
"0.60470253",
"0.58610034",
"0.5816065",
"0.5804319",
"0.5753335",
"0.57344615",
"0.5694131",
"0.56772673",
"0.5663141",
"0.5599108",
"0.5599108",
"0.55642706",
"0.555... | 0.7993833 | 0 |
Get agents' belief and interaction history, respectively. | def logs(self):
return self.logger.logs() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_history(self):\r\n\r\n return self.board_history",
"def get_history(self):\n return self.history",
"def history(self):\n return self.board.history",
"def get_action_history(self):\n\t\treturn self._action_history",
"def history(self):\n return self.info['history']",
"def _... | [
"0.64450026",
"0.6385849",
"0.6332744",
"0.62916195",
"0.62715936",
"0.61747575",
"0.61431235",
"0.61431235",
"0.61320794",
"0.60951924",
"0.5958087",
"0.5838318",
"0.58224434",
"0.5807819",
"0.58053684",
"0.57923603",
"0.5774104",
"0.5766799",
"0.56772685",
"0.5628197",
"0.5... | 0.0 | -1 |
Chooses pair of neighboring agents for interaction. | def choose(self):
# pick agent A
keys = list(self._agents.keys())
keyA = random.choice(keys)
agentA = self.model.schedule.agents[keyA]
# pick pick agent B
keyB = random.choice(agentA.neighbors)
agentB = self.model.schedule.agents[keyB]
return agentA, age... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getNeighbors(self, current: MstarNode):\n neighbors = []\n options = []\n # Loop over all the agents\n for i in range(self.n_agents):\n node: Node = current.nodes[i]\n options_i = []\n if i in current.collision_set:\n # If the agent in... | [
"0.6246131",
"0.6160659",
"0.6013721",
"0.5978769",
"0.59235823",
"0.59171003",
"0.5906191",
"0.58011556",
"0.5798789",
"0.5789229",
"0.5733525",
"0.57054895",
"0.5646919",
"0.563309",
"0.5606196",
"0.55937165",
"0.5591221",
"0.55759096",
"0.5569078",
"0.5550985",
"0.55452394... | 0.6392958 | 0 |
Increments the timer for all agents, then lets one pair of agents interact. | def step(self):
#_increment timers
for agent in self.agents:
agent.tick()
# choose agent pair
agentA, agentB = self.choose()
# interact
agentA.step(agentB)
agentB.step(agentA)
# log results
self.logger.log(agentA, agentB)
# ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def take_one_step(self):\n\t\tfor i in range(len(self.agents)):\n\t\t\tself.agents[i].action(0)",
"def _advance_by_action(game, agents, action):\n getLogger(__name__).debug(\"Agent {} action {}\".format(game.current_agent_id, action))\n agent_id_for_action = game.current_agent_id\n\n game.ta... | [
"0.65375125",
"0.6455464",
"0.64317334",
"0.6098815",
"0.6074385",
"0.60499936",
"0.59659934",
"0.58917546",
"0.58917546",
"0.58714443",
"0.5799771",
"0.57929397",
"0.5773467",
"0.5762189",
"0.57041514",
"0.56671137",
"0.566299",
"0.5604475",
"0.5582845",
"0.5573922",
"0.5562... | 0.7061951 | 0 |
No. 1 tests collection for Practitioner. | def test_practitioner_1(base_settings):
filename = base_settings["unittest_data_dir"] / "practitioner-example-f203-jvg.json"
inst = practitioner.Practitioner.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Practitioner" == inst.resource_type
impl_practition... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tests():",
"def test(self):\n # -- Test --\n\n # (1)\n\n # (2)\n\n # (3)\n\n # (4)\n # -- Test --",
"def test_get_learners(self):\n pass",
"def spec_tests():\n pass",
"def testBeliefs1sk(self):",
"def test(self):\n pass",
"def _test(self):\... | [
"0.7134564",
"0.6787694",
"0.6755833",
"0.6700649",
"0.6694151",
"0.66736376",
"0.6638133",
"0.6638133",
"0.6638133",
"0.6630275",
"0.6590062",
"0.6564321",
"0.65413755",
"0.65291166",
"0.65291166",
"0.65291166",
"0.65291166",
"0.65291166",
"0.64992297",
"0.6488366",
"0.64004... | 0.59895766 | 80 |
No. 2 tests collection for Practitioner. | def test_practitioner_2(base_settings):
filename = base_settings["unittest_data_dir"] / "practitioner-example-f201-ab.json"
inst = practitioner.Practitioner.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Practitioner" == inst.resource_type
impl_practitione... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tests():",
"def test(self):\n # -- Test --\n\n # (1)\n\n # (2)\n\n # (3)\n\n # (4)\n # -- Test --",
"def test_get_learners(self):\n pass",
"def test(self):\n pass",
"def spec_tests():\n pass",
"def _test(self):\n pass",
"def _test(se... | [
"0.7369992",
"0.69981796",
"0.68859595",
"0.688489",
"0.68792",
"0.68766",
"0.68766",
"0.68766",
"0.6846748",
"0.6835696",
"0.6835696",
"0.6835696",
"0.6835696",
"0.6835696",
"0.67921025",
"0.67522293",
"0.6719341",
"0.6693692",
"0.6656919",
"0.6596785",
"0.6596785",
"0.657... | 0.6226182 | 70 |
No. 3 tests collection for Practitioner. | def test_practitioner_3(base_settings):
filename = base_settings["unittest_data_dir"] / "practitioner-example-f202-lm.json"
inst = practitioner.Practitioner.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Practitioner" == inst.resource_type
impl_practitione... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tests():",
"def test(self):\n # -- Test --\n\n # (1)\n\n # (2)\n\n # (3)\n\n # (4)\n # -- Test --",
"def test_3():",
"def test_get_learners(self):\n pass",
"def alltests(opts):\n \n print \"API Root: %s\" % options.apiroot\n print \"Token: %s\"... | [
"0.7311619",
"0.69389737",
"0.6782225",
"0.674639",
"0.6690336",
"0.66903013",
"0.6686184",
"0.6657042",
"0.66540545",
"0.66537106",
"0.6646451",
"0.6646451",
"0.6600782",
"0.6578841",
"0.6571164",
"0.6571164",
"0.6571164",
"0.65693885",
"0.6556365",
"0.6556365",
"0.6556365",... | 0.6419828 | 30 |
No. 4 tests collection for Practitioner. | def test_practitioner_4(base_settings):
filename = (
base_settings["unittest_data_dir"] / "practitioner-example-xcda-author.json"
)
inst = practitioner.Practitioner.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Practitioner" == inst.resource_type
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tests():",
"def test(self):\n # -- Test --\n\n # (1)\n\n # (2)\n\n # (3)\n\n # (4)\n # -- Test --",
"def test_4():",
"def test_get_learners(self):\n pass",
"def test(self):\n pass",
"def _test(self):\n pass",
"def _test(self):\n ... | [
"0.72248155",
"0.6968816",
"0.6848714",
"0.676003",
"0.67274076",
"0.66989803",
"0.66989803",
"0.66989803",
"0.6687554",
"0.6668544",
"0.66536045",
"0.6637639",
"0.6606794",
"0.66046673",
"0.6600896",
"0.6600896",
"0.6600896",
"0.6600896",
"0.6600896",
"0.6581954",
"0.6569555... | 0.64884555 | 26 |
No. 5 tests collection for Practitioner. | def test_practitioner_5(base_settings):
filename = base_settings["unittest_data_dir"] / "practitioner-example-f003-mv.json"
inst = practitioner.Practitioner.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Practitioner" == inst.resource_type
impl_practitione... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tests():",
"def test_5():",
"def test(self):\n # -- Test --\n\n # (1)\n\n # (2)\n\n # (3)\n\n # (4)\n # -- Test --",
"def test_get_learners(self):\n pass",
"def test_generate_all_testing(self):\n pass",
"def spec_tests():\n pass",
"def test... | [
"0.7314952",
"0.6887173",
"0.6877993",
"0.67968845",
"0.67604977",
"0.67196435",
"0.6707374",
"0.6702602",
"0.6698803",
"0.66764206",
"0.66610456",
"0.66610456",
"0.66610456",
"0.6585562",
"0.6567697",
"0.6567697",
"0.6567697",
"0.6567697",
"0.6567697",
"0.6557706",
"0.654831... | 0.62826437 | 42 |
No. 6 tests collection for Practitioner. | def test_practitioner_6(base_settings):
filename = base_settings["unittest_data_dir"] / "practitioner-example-f002-pv.json"
inst = practitioner.Practitioner.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Practitioner" == inst.resource_type
impl_practitione... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tests():",
"def test(self):\n # -- Test --\n\n # (1)\n\n # (2)\n\n # (3)\n\n # (4)\n # -- Test --",
"def test_generate_all_testing(self):\n pass",
"def spec_tests():\n pass",
"def test(self):\n pass",
"def test_get_learners(self):\n pa... | [
"0.7326869",
"0.690404",
"0.6839643",
"0.6751121",
"0.67465395",
"0.6719968",
"0.67097247",
"0.66961044",
"0.66961044",
"0.66961044",
"0.6691932",
"0.66904056",
"0.66563714",
"0.6630362",
"0.6630362",
"0.6630362",
"0.6630362",
"0.6630362",
"0.66246873",
"0.6598546",
"0.656255... | 0.6458022 | 27 |
No. 7 tests collection for Practitioner. | def test_practitioner_7(base_settings):
filename = base_settings["unittest_data_dir"] / "practitioner-example.json"
inst = practitioner.Practitioner.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Practitioner" == inst.resource_type
impl_practitioner_7(inst... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tests():",
"def test(self):\n # -- Test --\n\n # (1)\n\n # (2)\n\n # (3)\n\n # (4)\n # -- Test --",
"def test_generate_all_testing(self):\n pass",
"def alltests(opts):\n \n print \"API Root: %s\" % options.apiroot\n print \"Token: %s\" % options.... | [
"0.7262856",
"0.68205714",
"0.6758854",
"0.6704464",
"0.6648625",
"0.6646107",
"0.6629853",
"0.6612695",
"0.65750575",
"0.65750575",
"0.65750575",
"0.6566583",
"0.6553205",
"0.6550712",
"0.65416145",
"0.6533619",
"0.6533619",
"0.6533619",
"0.6533619",
"0.6533619",
"0.6501971"... | 0.6392469 | 28 |
No. 8 tests collection for Practitioner. | def test_practitioner_8(base_settings):
filename = base_settings["unittest_data_dir"] / "practitioner-example-f007-sh.json"
inst = practitioner.Practitioner.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Practitioner" == inst.resource_type
impl_practitione... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tests():",
"def test(self):\n # -- Test --\n\n # (1)\n\n # (2)\n\n # (3)\n\n # (4)\n # -- Test --",
"def spec_tests():\n pass",
"def test_generate_all_testing(self):\n pass",
"def test_get_scenarios(self):\n pass",
"def test(self):\n p... | [
"0.7372738",
"0.69317466",
"0.6861522",
"0.6845753",
"0.6834681",
"0.6780007",
"0.6755908",
"0.6755908",
"0.6755908",
"0.67130166",
"0.67109954",
"0.67109954",
"0.67109954",
"0.67109954",
"0.67109954",
"0.6678252",
"0.66741705",
"0.6660228",
"0.665537",
"0.6578866",
"0.657649... | 0.63559926 | 42 |
No. 9 tests collection for Practitioner. | def test_practitioner_9(base_settings):
filename = base_settings["unittest_data_dir"] / "practitioner-example-f204-ce.json"
inst = practitioner.Practitioner.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Practitioner" == inst.resource_type
impl_practitione... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tests():",
"def test(self):\n # -- Test --\n\n # (1)\n\n # (2)\n\n # (3)\n\n # (4)\n # -- Test --",
"def spec_tests():\n pass",
"def test(self):\n pass",
"def _test(self):\n pass",
"def _test(self):\n pass",
"def _test(self):\n ... | [
"0.7350845",
"0.6929755",
"0.68425804",
"0.68048006",
"0.67819405",
"0.67819405",
"0.67819405",
"0.67812234",
"0.67445767",
"0.67445767",
"0.67445767",
"0.67445767",
"0.67445767",
"0.6693966",
"0.6646028",
"0.6644397",
"0.6637566",
"0.6624624",
"0.6615607",
"0.65986365",
"0.6... | 0.6293964 | 48 |
No. 10 tests collection for Practitioner. | def test_practitioner_10(base_settings):
filename = base_settings["unittest_data_dir"] / "practitioner-example-xcda1.json"
inst = practitioner.Practitioner.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Practitioner" == inst.resource_type
impl_practitioner... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tests():",
"def alltests(opts):\n \n print \"API Root: %s\" % options.apiroot\n print \"Token: %s\" % options.token\n print \"Output dir: %s\" % options.output\n print \"Running %d%% of tests\" % options.percent\n print\n \n # need to use DEPT-001, not ID#\n coursehistory_tests = [\n #... | [
"0.69817436",
"0.67881966",
"0.6621588",
"0.66090757",
"0.65970397",
"0.6592075",
"0.6537486",
"0.6522151",
"0.64384097",
"0.64384097",
"0.6414787",
"0.6400614",
"0.6375108",
"0.636496",
"0.63621455",
"0.63202417",
"0.62964195",
"0.62565356",
"0.6244528",
"0.6241661",
"0.6240... | 0.63118726 | 16 |
Set up the tests | def setup():
for dir_path in [train_dir, output_dir]:
Path(dir_path).mkdir(exist_ok=True)
# create the training and test data files that we will use
create_jsonlines_feature_files(train_dir) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def setUp(self):\n MainTests.setUp(self)",
"def setUp(self):\n logging.debug('setting up')",
"def setUp(self):\n logging.debug('setting up')",
"def setUp(self):\n \n pass",
"def setUp(self):\n\n pass",
"def setUp(self):\n\n pass",
"def setUp(self):\n ... | [
"0.8344514",
"0.82070535",
"0.82070535",
"0.8188769",
"0.8142251",
"0.8142251",
"0.81246495",
"0.8071177",
"0.80650306",
"0.80650306",
"0.80650306",
"0.80650306",
"0.80650306",
"0.80650306",
"0.80650306",
"0.80650306",
"0.80650306",
"0.80650306",
"0.80650306",
"0.80650306",
"... | 0.0 | -1 |
Clean up after tests | def tearDown():
for output_file_path in Path(output_dir).glob("test_voting_learner_cross_validate*"):
output_file_path.unlink()
for output_file_path in Path(".").glob("test_voting_learner_cross_validate*"):
output_file_path.unlink()
config_file_path = Path(config_dir) / "test_voting_learne... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def tearDown(self):\n self.tmp.cleanup()",
"def cleanup():",
"def cleanUp(self):\r\n pass",
"def cleanUp():\n pass",
"def _clean_up(self):",
"def cleanup(self):\n pass",
"def cleanup(self):\n pass",
"def cleanup(self):\n pass",
"def cleanup(self):\n pass... | [
"0.8406943",
"0.83678037",
"0.83351654",
"0.82998216",
"0.82936525",
"0.82640386",
"0.82640386",
"0.82640386",
"0.82640386",
"0.82640386",
"0.82640386",
"0.82640386",
"0.82640386",
"0.82640386",
"0.82640386",
"0.82640386",
"0.82626957",
"0.82626957",
"0.82626957",
"0.82422036",... | 0.0 | -1 |
Check given combination of crossvalidation configuration options | def check_xval_task(learner_type, options_dict):
# create a configuration file with the given options
(config_path,
estimator_names,
job_name,
custom_learner,
objectives,
output_metrics,
model_kwargs_list,
param_grid_list,
sampler_list,
num_cv_folds,
_,
_)... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def crossValidate(self, args):\n\n ##################################\n # Read the training data\n ##################################\n if not os.path.isdir(args.annotationPath):\n print('annotation path does not exist: {}' \\\n .format(args.annotationP... | [
"0.6687642",
"0.6479873",
"0.6382023",
"0.6245997",
"0.61212516",
"0.61105317",
"0.60336494",
"0.6023771",
"0.6017304",
"0.59759605",
"0.59713924",
"0.5944983",
"0.59411436",
"0.59192646",
"0.5915955",
"0.5907505",
"0.59054077",
"0.58736354",
"0.5869191",
"0.5866223",
"0.5860... | 0.59237695 | 13 |
Remove punctuations of several languages, including Japanese. | def remove_punctuation(text: str) -> str:
return "".join(
itertools.filterfalse(lambda x: unicodedata.category(x).startswith("P"), text)
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def remove_punct(self,text):",
"def punct_remove(text):\n return(re.sub(punct_characters,' ',text))",
"def remove_punctuations(text):\n return text.translate(str.maketrans('', '', string.punctuation))",
"def punct_filter_(w):\n return w in {u'.', u',', u';', u'?', u'!', u'(', u')', u'[', u']'}",... | [
"0.7311671",
"0.711764",
"0.6981424",
"0.68968636",
"0.68956965",
"0.6886261",
"0.6881745",
"0.68812156",
"0.68133545",
"0.6796841",
"0.6787725",
"0.67857873",
"0.67852384",
"0.6783421",
"0.6764929",
"0.6761497",
"0.6751957",
"0.6729602",
"0.6729602",
"0.6718826",
"0.67166024... | 0.69718033 | 3 |
Characterlevel segmentation for Korean and Japanese | def segment(text: str) -> str:
import regex
# Chinese
text = regex.sub(r"(\p{Han})", r" \1 ", text)
# Korean
text = regex.sub(r"(\p{Hangul})", r" \1 ", text)
# Japenese
text = regex.sub(r"(\p{Hiragana})", r" \1 ", text)
text = regex.sub(r"(\p{Katakana})", r" \1 ", text)
text = text... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def uCSIsKatakanaPhoneticExtensions(code):\n ret = libxml2mod.xmlUCSIsKatakanaPhoneticExtensions(code)\n return ret",
"def phoc_levels(word: str, levels=DEFAULT_PHOC_LEVELS):\n if levels <= 1:\n return [word]\n # cut_len = float(len(word)) / float(levels)\n # # length of cuts\n # regions... | [
"0.5655067",
"0.53225625",
"0.5267243",
"0.52642506",
"0.5255642",
"0.52491516",
"0.52491516",
"0.52444214",
"0.5241108",
"0.5239331",
"0.5196398",
"0.5184633",
"0.51652074",
"0.5114331",
"0.5098518",
"0.505684",
"0.50446427",
"0.50386804",
"0.5029255",
"0.4988901",
"0.498705... | 0.54035604 | 1 |
This reads a file in the shared task format, returns a list of Tuples containing ID and text for each prompt. | def read_trans_prompts(lines: List[str], lowercase=True) -> List[Tuple[str,str]]:
ids_prompts = []
first = True
for line in lines:
if lowercase:
line = line.strip().lower()
else:
line = line.strip()
# in a group, the first one is the KEY.
# all other... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse_prompt_file(prompt_file):\n with io.open(prompt_file, mode=\"r\", encoding='utf-8', errors='ignore') as prompt_f:\n return [prompt_f.readline().rstrip(),\n prompt_f.readline().rstrip()]",
"def read_shared_secrets_from_file(f):\n shares = []\n words = []\n for line in f... | [
"0.64376706",
"0.60924566",
"0.58151025",
"0.57231516",
"0.5679147",
"0.56595516",
"0.55473155",
"0.55078036",
"0.5376893",
"0.53262085",
"0.528849",
"0.52704746",
"0.52672356",
"0.5224767",
"0.51990306",
"0.5157543",
"0.5151916",
"0.50994694",
"0.5096022",
"0.5082734",
"0.50... | 0.61813223 | 1 |
This reads a file in the shared task format, and returns a dictionary with prompt IDs as keys, and each key associated with a dictionary of responses. | def read_transfile(lines: List[str], strip_punc=True, weighted=False, lowercase=True, length=0) -> Dict[str, Dict[str, float]]:
data = OrderedDict()
first = True
options = {}
key = ""
keylen = 0
for line in lines:
if lowercase:
line = line.strip().lower()
else:
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse_prompt_file(prompt_file):\n with io.open(prompt_file, mode=\"r\", encoding='utf-8', errors='ignore') as prompt_f:\n return [prompt_f.readline().rstrip(),\n prompt_f.readline().rstrip()]",
"def read_default_prompts():\n if os.path.exists(DEFAULT_PROMPTS_PATH):\n with o... | [
"0.5814567",
"0.5640938",
"0.56229466",
"0.5342384",
"0.52831453",
"0.524801",
"0.51320285",
"0.51265144",
"0.50202674",
"0.49958473",
"0.49940932",
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"0.49669075",
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"0.49446806",
"0.49439514",
"0.49403074",
"0.49400342",
"0.4921348",
"0.4907984",
"0.... | 0.0 | -1 |
Init method for helper class. | def __init__(self):
self.CVE_BUCKET = os.environ.get("REPORT_BUCKET_NAME", '')
self.AWS_KEY = os.environ.get("AWS_S3_ACCESS_KEY_ID_REPORT_BUCKET", '')
self.AWS_SECRET = os.environ.get("AWS_S3_SECRET_ACCESS_KEY_REPORT_BUCKET", '')
self.AWS_REGION = os.environ.get("AWS_S3_REGION", "us-east... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _init(self):\n pass",
"def init(self):\n pass",
"def init(self):\n pass",
"def init(self):\n pass",
"def init(self):\n pass",
"def init(self):\n pass",
"def init(self):\n pass",
"def init(self):\n pass",
"def init(self):\n pass",
... | [
"0.8610245",
"0.84196734",
"0.84196734",
"0.84196734",
"0.84196734",
"0.84196734",
"0.84196734",
"0.84196734",
"0.84196734",
"0.8380376",
"0.8373575",
"0.8353151",
"0.82789344",
"0.82789344",
"0.8152919",
"0.8116294",
"0.7993546",
"0.7993546",
"0.7993546",
"0.79501164",
"0.79... | 0.0 | -1 |
Set HTTP Adapter with retries to session. | def get_session_retry(self, retries=3, backoff_factor=0.2,
status_forcelist=(404, 500, 502, 504),
session=None):
session = session or requests.Session()
retry = Retry(total=retries, read=retries, connect=retries,
backoff_factor=ba... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(\n self,\n retries=3,\n backoff_factor=0.3,\n status_forcelist=(500, 502, 504),\n **session_options,\n ):\n super().__init__(**session_options)\n retries = retries or 0\n\n self.retry_ = Retry(\n total=retries,\n read=ret... | [
"0.68190426",
"0.656107",
"0.65234107",
"0.6376474",
"0.63384855",
"0.6149356",
"0.60859877",
"0.59891427",
"0.5915869",
"0.5900037",
"0.56298727",
"0.56103295",
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"0.53306866",
"0.53249484",
"0.52559197",
"0.52061677",
"0.520381",
"0.51781654",
"0.51... | 0.6642945 | 1 |
Execute the gremlin query and return the response. | def execute_gremlin_dsl(self, payloads):
url = "http://{host}:{port}".format(
host=os.environ.get("BAYESIAN_GREMLIN_HTTPINGESTION_SERVICE_HOST", "localhost"),
port=os.environ.get("BAYESIAN_GREMLIN_HTTPINGESTION_SERVICE_PORT", "8181"))
try:
payload = json.dumps(payload... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def gremlin_action(token, query):\n http = urllib3.PoolManager(\n cert_reqs=\"CERT_REQUIRED\", ca_certs=certifi.where())\n # Headers are how we pass through the token.\n headers = {\"Content-Type\": \"application/json\"}\n headers[\"X-Language\"] = \"en-us\"\n headers[\"X-Auth-Token\"] = toke... | [
"0.6971977",
"0.68545705",
"0.68396306",
"0.648774",
"0.64229923",
"0.6413053",
"0.62823623",
"0.6230398",
"0.6107883",
"0.60947967",
"0.5950436",
"0.5908044",
"0.5868579",
"0.58055663",
"0.5708583",
"0.57053006",
"0.5696164",
"0.5694277",
"0.5672222",
"0.56569475",
"0.564822... | 0.69799536 | 0 |
Store the report content to the S3 storage. | def store_json_content(self, content, obj_key):
try:
logger.info('Storing the data into the S3 file %s' % obj_key)
self.s3_resource.Object(self.CVE_BUCKET, obj_key).put(
Body=json.dumps(content, indent=2).encode('utf-8'))
except Exception as e:
logger.... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def s3_store_data(self):\n\n USERHOMEDIR = os.path.expanduser('~')\n TESTFILEPATH = \"%s/3MBFILE\" % USERHOMEDIR\n if not os.path.exists(TESTFILEPATH):\n with open(TESTFILEPATH, \"wb\") as out:\n out.truncate(1024 * 1024 * 3)\n self.k.set_contents_from_filename(TESTFILEPATH)",
"def writ... | [
"0.686773",
"0.6856555",
"0.6635318",
"0.6452791",
"0.6358319",
"0.6351033",
"0.63241166",
"0.6314031",
"0.6267207",
"0.62471694",
"0.616967",
"0.61287165",
"0.59705794",
"0.59511316",
"0.5942337",
"0.5938072",
"0.5931062",
"0.5896632",
"0.58732337",
"0.5843609",
"0.5823253",... | 0.64595914 | 3 |
Retrieve a dictionary stored as JSON from S3. | def _retrieve_dict(self, object_key):
return json.loads(self._retrieve_blob(object_key).decode('utf-8')) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __retrieve_from_bucket(fname):\n blob = BUCKET.blob(fname)\n json_data = json.loads(blob.download_as_string())\n return json_data",
"def get_amazon_adj_cls_from_s3(s3_resource, bucket_name, prefix='') -> dict:\n amzn_filename = \"AMZN.json\"\n complete_path = os.path.join(prefix, amzn_filename... | [
"0.7405809",
"0.7002301",
"0.6989927",
"0.6943178",
"0.68357503",
"0.6811579",
"0.6775019",
"0.6765076",
"0.67535394",
"0.67111343",
"0.66732424",
"0.6659228",
"0.6640712",
"0.663355",
"0.6630252",
"0.65800554",
"0.6568119",
"0.64453495",
"0.642794",
"0.6390214",
"0.6329198",... | 0.6381734 | 20 |
Retrieve remote object content. | def _retrieve_blob(self, object_key):
return self.s3_resource.Object(self.CVE_BUCKET, object_key).get()['Body'].read() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getObject(self):\n # try getting the remote object by unique id\n remote_obj = self._getObjectByUid()\n if remote_obj is not None:\n return remote_obj\n\n utool = getUtility(IURLTool)\n return utool.getPortalObject().restrictedTraverse(self.remote_url)",
"def get... | [
"0.69937205",
"0.6545057",
"0.6417782",
"0.63836384",
"0.6261528",
"0.6251807",
"0.6178698",
"0.61709577",
"0.61447203",
"0.614206",
"0.6140592",
"0.6113577",
"0.61032605",
"0.60779417",
"0.60344654",
"0.6033025",
"0.600181",
"0.5966634",
"0.59529024",
"0.5910655",
"0.5892479... | 0.5384759 | 92 |
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